2020-12-16 13:53:32 [INFO] ------------Environment Information------------- platform: Linux-3.10.0_3-0-0-34-x86_64-with-centos-7.5.1804-Core Python: 3.6.12 |Anaconda, Inc.| (default, Sep 8 2020, 23:10:56) [GCC 7.3.0] Paddle compiled with cuda: True NVCC: Cuda compilation tools, release 10.2, V10.2.89 cudnn: 7.6 GPUs used: 4 CUDA_VISIBLE_DEVICES: 4,5,6,7 GPU: ['GPU 0: Tesla V100-SXM2-16GB', 'GPU 1: Tesla V100-SXM2-16GB', 'GPU 2: Tesla V100-SXM2-16GB', 'GPU 3: Tesla V100-SXM2-16GB', 'GPU 4: Tesla V100-SXM2-16GB', 'GPU 5: Tesla V100-SXM2-16GB', 'GPU 6: Tesla V100-SXM2-16GB', 'GPU 7: Tesla V100-SXM2-16GB'] GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39) PaddlePaddle: 2.0.0-rc0 OpenCV: 4.4.0 ------------------------------------------------ 2020-12-16 13:53:32 [INFO] ---------------Config Information--------------- batch_size: 2 iters: 80000 learning_rate: decay: end_lr: 0.0 power: 0.9 type: poly value: 0.01 loss: coef: - 1 - 0.4 types: - ignore_index: 255 type: CrossEntropyLoss - ignore_index: 255 type: CrossEntropyLoss model: backbone: output_stride: 8 pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz type: ResNet50_vd isa_channels: 256 num_classes: 19 type: ISANet optimizer: momentum: 0.9 type: sgd weight_decay: 1.0e-05 train_dataset: dataset_root: data/cityscapes mode: train transforms: - max_scale_factor: 2.0 min_scale_factor: 0.5 scale_step_size: 0.25 type: ResizeStepScaling - crop_size: - 769 - 769 type: RandomPaddingCrop - type: RandomHorizontalFlip - brightness_range: 0.4 contrast_range: 0.4 saturation_range: 0.4 type: RandomDistort - type: Normalize type: Cityscapes val_dataset: dataset_root: data/cityscapes mode: val transforms: - target_size: - 2049 - 1025 type: Padding - type: Normalize type: Cityscapes ------------------------------------------------ 2020-12-16 13:53:38 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz 2020-12-16 13:53:39 [INFO] There are 275/275 variables loaded into ResNet_vd. 2020-12-16 13:54:00 [INFO] [TRAIN] epoch=1, iter=10/80000, loss=3.0508, lr=0.009999, batch_cost=1.4824, reader_cost=0.1327 | ETA 32:56:17 2020-12-16 13:54:08 [INFO] [TRAIN] epoch=1, iter=20/80000, loss=1.4363, lr=0.009998, batch_cost=0.7995, reader_cost=0.0013 | ETA 17:45:40 2020-12-16 13:54:15 [INFO] [TRAIN] epoch=1, iter=30/80000, loss=1.3524, lr=0.009997, batch_cost=0.7133, reader_cost=0.0001 | ETA 15:50:39 2020-12-16 13:54:20 [INFO] [TRAIN] epoch=1, iter=40/80000, loss=1.5088, lr=0.009996, batch_cost=0.5321, reader_cost=0.0001 | ETA 11:49:09 2020-12-16 13:54:26 [INFO] [TRAIN] epoch=1, iter=50/80000, loss=1.2350, lr=0.009994, batch_cost=0.5920, reader_cost=0.0002 | ETA 13:08:50 2020-12-16 13:54:32 [INFO] [TRAIN] epoch=1, iter=60/80000, loss=0.7661, lr=0.009993, batch_cost=0.5508, reader_cost=0.0005 | ETA 12:13:51 2020-12-16 13:54:38 [INFO] [TRAIN] epoch=1, iter=70/80000, loss=1.2572, lr=0.009992, batch_cost=0.5613, reader_cost=0.0001 | ETA 12:27:48 2020-12-16 13:54:44 [INFO] [TRAIN] epoch=1, iter=80/80000, loss=1.0041, lr=0.009991, batch_cost=0.6410, reader_cost=0.0002 | ETA 14:13:44 2020-12-16 13:54:53 [INFO] [TRAIN] epoch=1, iter=90/80000, loss=0.9299, lr=0.009990, batch_cost=0.8595, reader_cost=0.0001 | ETA 19:04:43 2020-12-16 13:54:59 [INFO] [TRAIN] epoch=1, iter=100/80000, loss=0.9216, lr=0.009989, batch_cost=0.6854, reader_cost=0.0008 | ETA 15:12:45 2020-12-16 13:55:07 [INFO] [TRAIN] epoch=1, iter=110/80000, loss=0.7053, lr=0.009988, batch_cost=0.7833, reader_cost=0.0041 | ETA 17:22:59 2020-12-16 13:55:16 [INFO] [TRAIN] epoch=1, iter=120/80000, loss=1.0029, lr=0.009987, batch_cost=0.8654, reader_cost=0.0014 | ETA 19:12:08 2020-12-16 13:55:24 [INFO] [TRAIN] epoch=1, iter=130/80000, loss=0.7384, lr=0.009985, batch_cost=0.8206, reader_cost=0.0029 | ETA 18:12:22 2020-12-16 13:55:32 [INFO] [TRAIN] epoch=1, iter=140/80000, loss=0.9591, lr=0.009984, batch_cost=0.7469, reader_cost=0.0030 | ETA 16:34:10 2020-12-16 13:55:40 [INFO] [TRAIN] epoch=1, iter=150/80000, loss=0.6703, lr=0.009983, batch_cost=0.8338, reader_cost=0.0002 | ETA 18:29:40 2020-12-16 13:55:50 [INFO] [TRAIN] epoch=1, iter=160/80000, loss=1.2336, lr=0.009982, batch_cost=0.9604, reader_cost=0.0048 | ETA 21:18:02 2020-12-16 13:55:58 [INFO] [TRAIN] epoch=1, iter=170/80000, loss=0.9984, lr=0.009981, batch_cost=0.8685, reader_cost=0.0025 | ETA 19:15:33 2020-12-16 13:56:06 [INFO] [TRAIN] epoch=1, iter=180/80000, loss=1.0944, lr=0.009980, batch_cost=0.7973, reader_cost=0.0002 | ETA 17:40:40 2020-12-16 13:56:15 [INFO] [TRAIN] epoch=1, iter=190/80000, loss=0.7870, lr=0.009979, batch_cost=0.8899, reader_cost=0.0014 | ETA 19:43:45 2020-12-16 13:56:23 [INFO] [TRAIN] epoch=1, iter=200/80000, loss=1.1146, lr=0.009978, batch_cost=0.7504, reader_cost=0.0002 | ETA 16:37:59 2020-12-16 13:56:31 [INFO] [TRAIN] epoch=1, iter=210/80000, loss=0.7010, lr=0.009976, batch_cost=0.8282, reader_cost=0.0012 | ETA 18:21:22 2020-12-16 13:56:39 [INFO] [TRAIN] epoch=1, iter=220/80000, loss=0.6769, lr=0.009975, batch_cost=0.8315, reader_cost=0.0011 | ETA 18:25:40 2020-12-16 13:56:48 [INFO] [TRAIN] epoch=1, iter=230/80000, loss=0.5999, lr=0.009974, batch_cost=0.8297, reader_cost=0.0003 | ETA 18:23:02 2020-12-16 13:56:56 [INFO] [TRAIN] epoch=1, iter=240/80000, loss=0.7691, lr=0.009973, batch_cost=0.8410, reader_cost=0.0036 | ETA 18:37:56 2020-12-16 13:57:04 [INFO] [TRAIN] epoch=1, iter=250/80000, loss=1.1773, lr=0.009972, batch_cost=0.7685, reader_cost=0.0001 | ETA 17:01:26 2020-12-16 13:57:12 [INFO] [TRAIN] epoch=1, iter=260/80000, loss=0.6513, lr=0.009971, batch_cost=0.8479, reader_cost=0.0008 | ETA 18:46:47 2020-12-16 13:57:21 [INFO] [TRAIN] epoch=1, iter=270/80000, loss=0.7129, lr=0.009970, batch_cost=0.8737, reader_cost=0.0001 | ETA 19:20:56 2020-12-16 13:57:29 [INFO] [TRAIN] epoch=1, iter=280/80000, loss=0.9590, lr=0.009969, batch_cost=0.8217, reader_cost=0.0012 | ETA 18:11:45 2020-12-16 13:57:37 [INFO] [TRAIN] epoch=1, iter=290/80000, loss=0.9958, lr=0.009967, batch_cost=0.7839, reader_cost=0.0010 | ETA 17:21:25 2020-12-16 13:57:46 [INFO] [TRAIN] epoch=1, iter=300/80000, loss=0.5222, lr=0.009966, batch_cost=0.9266, reader_cost=0.0004 | ETA 20:30:48 2020-12-16 13:57:55 [INFO] [TRAIN] epoch=1, iter=310/80000, loss=0.6843, lr=0.009965, batch_cost=0.8306, reader_cost=0.0002 | ETA 18:23:13 2020-12-16 13:58:03 [INFO] [TRAIN] epoch=1, iter=320/80000, loss=0.8502, lr=0.009964, batch_cost=0.8226, reader_cost=0.0012 | ETA 18:12:26 2020-12-16 13:58:11 [INFO] [TRAIN] epoch=1, iter=330/80000, loss=0.8282, lr=0.009963, batch_cost=0.8575, reader_cost=0.0020 | ETA 18:58:33 2020-12-16 13:58:19 [INFO] [TRAIN] epoch=1, iter=340/80000, loss=0.7675, lr=0.009962, batch_cost=0.8091, reader_cost=0.0005 | ETA 17:54:15 2020-12-16 13:58:28 [INFO] [TRAIN] epoch=1, iter=350/80000, loss=0.9752, lr=0.009961, batch_cost=0.8177, reader_cost=0.0007 | ETA 18:05:26 2020-12-16 13:58:36 [INFO] [TRAIN] epoch=1, iter=360/80000, loss=0.6346, lr=0.009960, batch_cost=0.8722, reader_cost=0.0005 | ETA 19:17:43 2020-12-16 13:58:43 [INFO] [TRAIN] epoch=1, iter=370/80000, loss=0.6929, lr=0.009958, batch_cost=0.7079, reader_cost=0.0003 | ETA 15:39:26 2020-12-16 13:58:52 [INFO] [TRAIN] epoch=2, iter=380/80000, loss=0.6560, lr=0.009957, batch_cost=0.8634, reader_cost=0.0585 | ETA 19:05:47 2020-12-16 13:59:01 [INFO] [TRAIN] epoch=2, iter=390/80000, loss=0.7306, lr=0.009956, batch_cost=0.9191, reader_cost=0.0022 | ETA 20:19:26 2020-12-16 13:59:10 [INFO] [TRAIN] epoch=2, iter=400/80000, loss=0.4904, lr=0.009955, batch_cost=0.8916, reader_cost=0.0009 | ETA 19:42:50 2020-12-16 13:59:19 [INFO] [TRAIN] epoch=2, iter=410/80000, loss=0.5849, lr=0.009954, batch_cost=0.8365, reader_cost=0.0007 | ETA 18:29:36 2020-12-16 13:59:27 [INFO] [TRAIN] epoch=2, iter=420/80000, loss=0.5626, lr=0.009953, batch_cost=0.8975, reader_cost=0.0005 | ETA 19:50:23 2020-12-16 13:59:34 [INFO] [TRAIN] epoch=2, iter=430/80000, loss=0.5888, lr=0.009952, batch_cost=0.6628, reader_cost=0.0006 | ETA 14:38:57 2020-12-16 13:59:40 [INFO] [TRAIN] epoch=2, iter=440/80000, loss=0.6739, lr=0.009951, batch_cost=0.5433, reader_cost=0.0019 | ETA 12:00:28 2020-12-16 13:59:45 [INFO] [TRAIN] epoch=2, iter=450/80000, loss=0.5073, lr=0.009949, batch_cost=0.5869, reader_cost=0.0015 | ETA 12:58:09 2020-12-16 13:59:51 [INFO] [TRAIN] epoch=2, iter=460/80000, loss=0.5044, lr=0.009948, batch_cost=0.5577, reader_cost=0.0001 | ETA 12:19:17 2020-12-16 13:59:57 [INFO] [TRAIN] epoch=2, iter=470/80000, loss=0.7392, lr=0.009947, batch_cost=0.5625, reader_cost=0.0023 | ETA 12:25:37 2020-12-16 14:00:03 [INFO] [TRAIN] epoch=2, iter=480/80000, loss=0.4471, lr=0.009946, batch_cost=0.6484, reader_cost=0.0009 | ETA 14:19:19 2020-12-16 14:00:11 [INFO] [TRAIN] epoch=2, iter=490/80000, loss=0.7367, lr=0.009945, batch_cost=0.8066, reader_cost=0.0046 | ETA 17:48:52 2020-12-16 14:00:20 [INFO] [TRAIN] epoch=2, iter=500/80000, loss=0.5486, lr=0.009944, batch_cost=0.8458, reader_cost=0.0048 | ETA 18:40:43 2020-12-16 14:00:28 [INFO] [TRAIN] epoch=2, iter=510/80000, loss=0.6766, lr=0.009943, batch_cost=0.8424, reader_cost=0.0008 | ETA 18:36:06 2020-12-16 14:00:36 [INFO] [TRAIN] epoch=2, iter=520/80000, loss=0.5613, lr=0.009942, batch_cost=0.7861, reader_cost=0.0073 | ETA 17:21:17 2020-12-16 14:00:43 [INFO] [TRAIN] epoch=2, iter=530/80000, loss=0.4262, lr=0.009940, batch_cost=0.7375, reader_cost=0.0001 | ETA 16:16:51 2020-12-16 14:00:52 [INFO] [TRAIN] epoch=2, iter=540/80000, loss=0.4267, lr=0.009939, batch_cost=0.8315, reader_cost=0.0001 | ETA 18:21:08 2020-12-16 14:00:59 [INFO] [TRAIN] epoch=2, iter=550/80000, loss=0.5617, lr=0.009938, batch_cost=0.7313, reader_cost=0.0031 | ETA 16:08:21 2020-12-16 14:01:07 [INFO] [TRAIN] epoch=2, iter=560/80000, loss=0.5337, lr=0.009937, batch_cost=0.8424, reader_cost=0.0038 | ETA 18:35:17 2020-12-16 14:01:16 [INFO] [TRAIN] epoch=2, iter=570/80000, loss=0.4592, lr=0.009936, batch_cost=0.8201, reader_cost=0.0001 | ETA 18:05:42 2020-12-16 14:01:24 [INFO] [TRAIN] epoch=2, iter=580/80000, loss=0.3934, lr=0.009935, batch_cost=0.8359, reader_cost=0.0002 | ETA 18:26:24 2020-12-16 14:01:32 [INFO] [TRAIN] epoch=2, iter=590/80000, loss=0.5911, lr=0.009934, batch_cost=0.8021, reader_cost=0.0001 | ETA 17:41:33 2020-12-16 14:01:41 [INFO] [TRAIN] epoch=2, iter=600/80000, loss=0.4743, lr=0.009933, batch_cost=0.8596, reader_cost=0.0029 | ETA 18:57:31 2020-12-16 14:01:48 [INFO] [TRAIN] epoch=2, iter=610/80000, loss=0.5794, lr=0.009931, batch_cost=0.7817, reader_cost=0.0002 | ETA 17:14:20 2020-12-16 14:01:56 [INFO] [TRAIN] epoch=2, iter=620/80000, loss=0.7322, lr=0.009930, batch_cost=0.7464, reader_cost=0.0001 | ETA 16:27:28 2020-12-16 14:02:03 [INFO] [TRAIN] epoch=2, iter=630/80000, loss=0.5200, lr=0.009929, batch_cost=0.7404, reader_cost=0.0013 | ETA 16:19:23 2020-12-16 14:02:12 [INFO] [TRAIN] epoch=2, iter=640/80000, loss=0.4018, lr=0.009928, batch_cost=0.8269, reader_cost=0.0030 | ETA 18:13:40 2020-12-16 14:02:20 [INFO] [TRAIN] epoch=2, iter=650/80000, loss=0.4288, lr=0.009927, batch_cost=0.8520, reader_cost=0.0007 | ETA 18:46:45 2020-12-16 14:02:27 [INFO] [TRAIN] epoch=2, iter=660/80000, loss=0.5724, lr=0.009926, batch_cost=0.7373, reader_cost=0.0011 | ETA 16:14:55 2020-12-16 14:02:35 [INFO] [TRAIN] epoch=2, iter=670/80000, loss=0.3677, lr=0.009925, batch_cost=0.7810, reader_cost=0.0001 | ETA 17:12:38 2020-12-16 14:02:44 [INFO] [TRAIN] epoch=2, iter=680/80000, loss=0.6759, lr=0.009924, batch_cost=0.8653, reader_cost=0.0020 | ETA 19:03:58 2020-12-16 14:02:52 [INFO] [TRAIN] epoch=2, iter=690/80000, loss=0.5245, lr=0.009922, batch_cost=0.8241, reader_cost=0.0001 | ETA 18:09:19 2020-12-16 14:03:00 [INFO] [TRAIN] epoch=2, iter=700/80000, loss=0.5614, lr=0.009921, batch_cost=0.7690, reader_cost=0.0038 | ETA 16:56:25 2020-12-16 14:03:09 [INFO] [TRAIN] epoch=2, iter=710/80000, loss=0.6868, lr=0.009920, batch_cost=0.8800, reader_cost=0.0001 | ETA 19:22:52 2020-12-16 14:03:17 [INFO] [TRAIN] epoch=2, iter=720/80000, loss=0.6686, lr=0.009919, batch_cost=0.8123, reader_cost=0.0021 | ETA 17:53:16 2020-12-16 14:03:24 [INFO] [TRAIN] epoch=2, iter=730/80000, loss=0.3998, lr=0.009918, batch_cost=0.7693, reader_cost=0.0031 | ETA 16:56:21 2020-12-16 14:03:32 [INFO] [TRAIN] epoch=2, iter=740/80000, loss=0.3632, lr=0.009917, batch_cost=0.7147, reader_cost=0.0031 | ETA 15:44:07 2020-12-16 14:03:40 [INFO] [TRAIN] epoch=3, iter=750/80000, loss=0.4988, lr=0.009916, batch_cost=0.8253, reader_cost=0.0570 | ETA 18:10:06 2020-12-16 14:03:48 [INFO] [TRAIN] epoch=3, iter=760/80000, loss=0.4122, lr=0.009915, batch_cost=0.8064, reader_cost=0.0010 | ETA 17:45:01 2020-12-16 14:03:56 [INFO] [TRAIN] epoch=3, iter=770/80000, loss=0.4151, lr=0.009913, batch_cost=0.8313, reader_cost=0.0027 | ETA 18:17:40 2020-12-16 14:04:02 [INFO] [TRAIN] epoch=3, iter=780/80000, loss=0.4810, lr=0.009912, batch_cost=0.6189, reader_cost=0.0001 | ETA 13:37:11 2020-12-16 14:04:08 [INFO] [TRAIN] epoch=3, iter=790/80000, loss=0.5756, lr=0.009911, batch_cost=0.5347, reader_cost=0.0001 | ETA 11:45:52 2020-12-16 14:04:13 [INFO] [TRAIN] epoch=3, iter=800/80000, loss=0.4943, lr=0.009910, batch_cost=0.5269, reader_cost=0.0001 | ETA 11:35:27 2020-12-16 14:04:18 [INFO] [TRAIN] epoch=3, iter=810/80000, loss=0.3738, lr=0.009909, batch_cost=0.5478, reader_cost=0.0001 | ETA 12:03:03 2020-12-16 14:04:24 [INFO] [TRAIN] epoch=3, iter=820/80000, loss=0.8899, lr=0.009908, batch_cost=0.5656, reader_cost=0.0003 | ETA 12:26:24 2020-12-16 14:04:30 [INFO] [TRAIN] epoch=3, iter=830/80000, loss=0.5357, lr=0.009907, batch_cost=0.5549, reader_cost=0.0001 | ETA 12:12:14 2020-12-16 14:04:35 [INFO] [TRAIN] epoch=3, iter=840/80000, loss=0.5045, lr=0.009906, batch_cost=0.5462, reader_cost=0.0003 | ETA 12:00:37 2020-12-16 14:04:43 [INFO] [TRAIN] epoch=3, iter=850/80000, loss=0.4470, lr=0.009904, batch_cost=0.7541, reader_cost=0.0004 | ETA 16:34:49 2020-12-16 14:04:52 [INFO] [TRAIN] epoch=3, iter=860/80000, loss=0.5909, lr=0.009903, batch_cost=0.8794, reader_cost=0.0026 | ETA 19:19:53 2020-12-16 14:05:00 [INFO] [TRAIN] epoch=3, iter=870/80000, loss=0.6332, lr=0.009902, batch_cost=0.8943, reader_cost=0.0002 | ETA 19:39:24 2020-12-16 14:05:09 [INFO] [TRAIN] epoch=3, iter=880/80000, loss=0.6514, lr=0.009901, batch_cost=0.8764, reader_cost=0.0067 | ETA 19:15:44 2020-12-16 14:05:15 [INFO] [TRAIN] epoch=3, iter=890/80000, loss=0.4571, lr=0.009900, batch_cost=0.6135, reader_cost=0.0001 | ETA 13:28:55 2020-12-16 14:05:21 [INFO] [TRAIN] epoch=3, iter=900/80000, loss=0.6111, lr=0.009899, batch_cost=0.5864, reader_cost=0.0001 | ETA 12:53:07 2020-12-16 14:05:27 [INFO] [TRAIN] epoch=3, iter=910/80000, loss=0.4320, lr=0.009898, batch_cost=0.5411, reader_cost=0.0004 | ETA 11:53:19 2020-12-16 14:05:32 [INFO] [TRAIN] epoch=3, iter=920/80000, loss=0.4175, lr=0.009897, batch_cost=0.5773, reader_cost=0.0001 | ETA 12:40:55 2020-12-16 14:05:38 [INFO] [TRAIN] epoch=3, iter=930/80000, loss=0.3064, lr=0.009895, batch_cost=0.6029, reader_cost=0.0001 | ETA 13:14:30 2020-12-16 14:05:46 [INFO] [TRAIN] epoch=3, iter=940/80000, loss=0.4177, lr=0.009894, batch_cost=0.7573, reader_cost=0.0005 | ETA 16:37:51 2020-12-16 14:05:55 [INFO] [TRAIN] epoch=3, iter=950/80000, loss=0.5892, lr=0.009893, batch_cost=0.9062, reader_cost=0.0008 | ETA 19:53:52 2020-12-16 14:06:04 [INFO] [TRAIN] epoch=3, iter=960/80000, loss=0.6200, lr=0.009892, batch_cost=0.8597, reader_cost=0.0007 | ETA 18:52:30 2020-12-16 14:06:13 [INFO] [TRAIN] epoch=3, iter=970/80000, loss=0.5180, lr=0.009891, batch_cost=0.9062, reader_cost=0.0014 | ETA 19:53:39 2020-12-16 14:06:21 [INFO] [TRAIN] epoch=3, iter=980/80000, loss=0.4715, lr=0.009890, batch_cost=0.8556, reader_cost=0.0001 | ETA 18:46:47 2020-12-16 14:06:31 [INFO] [TRAIN] epoch=3, iter=990/80000, loss=0.7577, lr=0.009889, batch_cost=0.9317, reader_cost=0.0001 | ETA 20:26:54 2020-12-16 14:06:40 [INFO] [TRAIN] epoch=3, iter=1000/80000, loss=0.5065, lr=0.009888, batch_cost=0.9670, reader_cost=0.0009 | ETA 21:13:10 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 14:06:40 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 14:07:34 [INFO] [EVAL] #Images=500 mIoU=0.4811 Acc=0.8888 Kappa=0.8564 2020-12-16 14:07:34 [INFO] [EVAL] Class IoU: [0.8873 0.6204 0.7805 0.0343 0.3232 0.441 0.4757 0.6082 0.8826 0.3921 0.9002 0.6739 0.3156 0.8124 0.0971 0.1586 0.0043 0.0732 0.6601] 2020-12-16 14:07:34 [INFO] [EVAL] Class Acc: [0.9847 0.6947 0.8164 0.8161 0.535 0.6661 0.7155 0.7847 0.9363 0.8867 0.9415 0.7802 0.602 0.8503 0.5569 0.9122 0.2151 0.8336 0.7958] 2020-12-16 14:07:45 [INFO] [EVAL] The model with the best validation mIoU (0.4811) was saved at iter 1000. 2020-12-16 14:07:53 [INFO] [TRAIN] epoch=3, iter=1010/80000, loss=0.7513, lr=0.009886, batch_cost=0.7981, reader_cost=0.0011 | ETA 17:30:45 2020-12-16 14:08:02 [INFO] [TRAIN] epoch=3, iter=1020/80000, loss=0.3934, lr=0.009885, batch_cost=0.9674, reader_cost=0.0025 | ETA 21:13:22 2020-12-16 14:08:12 [INFO] [TRAIN] epoch=3, iter=1030/80000, loss=0.7338, lr=0.009884, batch_cost=0.9261, reader_cost=0.0002 | ETA 20:18:54 2020-12-16 14:08:21 [INFO] [TRAIN] epoch=3, iter=1040/80000, loss=0.3855, lr=0.009883, batch_cost=0.9032, reader_cost=0.0005 | ETA 19:48:32 2020-12-16 14:08:30 [INFO] [TRAIN] epoch=3, iter=1050/80000, loss=0.6895, lr=0.009882, batch_cost=0.9441, reader_cost=0.0038 | ETA 20:42:18 2020-12-16 14:08:39 [INFO] [TRAIN] epoch=3, iter=1060/80000, loss=0.4519, lr=0.009881, batch_cost=0.8860, reader_cost=0.0023 | ETA 19:25:42 2020-12-16 14:08:48 [INFO] [TRAIN] epoch=3, iter=1070/80000, loss=0.3459, lr=0.009880, batch_cost=0.9141, reader_cost=0.0005 | ETA 20:02:28 2020-12-16 14:08:57 [INFO] [TRAIN] epoch=3, iter=1080/80000, loss=0.4444, lr=0.009879, batch_cost=0.8612, reader_cost=0.0036 | ETA 18:52:47 2020-12-16 14:09:06 [INFO] [TRAIN] epoch=3, iter=1090/80000, loss=0.8546, lr=0.009877, batch_cost=0.8941, reader_cost=0.0019 | ETA 19:35:54 2020-12-16 14:09:14 [INFO] [TRAIN] epoch=3, iter=1100/80000, loss=0.5160, lr=0.009876, batch_cost=0.7864, reader_cost=0.0062 | ETA 17:14:06 2020-12-16 14:09:23 [INFO] [TRAIN] epoch=3, iter=1110/80000, loss=0.4373, lr=0.009875, batch_cost=0.9241, reader_cost=0.0034 | ETA 20:15:04 2020-12-16 14:09:31 [INFO] [TRAIN] epoch=4, iter=1120/80000, loss=0.5123, lr=0.009874, batch_cost=0.8401, reader_cost=0.0916 | ETA 18:24:29 2020-12-16 14:09:41 [INFO] [TRAIN] epoch=4, iter=1130/80000, loss=0.3604, lr=0.009873, batch_cost=0.9561, reader_cost=0.0018 | ETA 20:56:47 2020-12-16 14:09:49 [INFO] [TRAIN] epoch=4, iter=1140/80000, loss=0.5020, lr=0.009872, batch_cost=0.8729, reader_cost=0.0002 | ETA 19:07:14 2020-12-16 14:09:59 [INFO] [TRAIN] epoch=4, iter=1150/80000, loss=0.3840, lr=0.009871, batch_cost=0.9399, reader_cost=0.0010 | ETA 20:35:07 2020-12-16 14:10:08 [INFO] [TRAIN] epoch=4, iter=1160/80000, loss=0.3887, lr=0.009870, batch_cost=0.9235, reader_cost=0.0001 | ETA 20:13:29 2020-12-16 14:10:18 [INFO] [TRAIN] epoch=4, iter=1170/80000, loss=0.4593, lr=0.009868, batch_cost=0.9815, reader_cost=0.0151 | ETA 21:29:28 2020-12-16 14:10:27 [INFO] [TRAIN] epoch=4, iter=1180/80000, loss=0.7050, lr=0.009867, batch_cost=0.8754, reader_cost=0.0003 | ETA 19:10:00 2020-12-16 14:10:36 [INFO] [TRAIN] epoch=4, iter=1190/80000, loss=0.5481, lr=0.009866, batch_cost=0.9468, reader_cost=0.0032 | ETA 20:43:41 2020-12-16 14:10:45 [INFO] [TRAIN] epoch=4, iter=1200/80000, loss=0.4356, lr=0.009865, batch_cost=0.8680, reader_cost=0.0005 | ETA 18:59:58 2020-12-16 14:10:54 [INFO] [TRAIN] epoch=4, iter=1210/80000, loss=0.3529, lr=0.009864, batch_cost=0.8991, reader_cost=0.0010 | ETA 19:40:37 2020-12-16 14:11:03 [INFO] [TRAIN] epoch=4, iter=1220/80000, loss=0.8871, lr=0.009863, batch_cost=0.9622, reader_cost=0.0002 | ETA 21:03:25 2020-12-16 14:11:13 [INFO] [TRAIN] epoch=4, iter=1230/80000, loss=0.3927, lr=0.009862, batch_cost=0.9385, reader_cost=0.0078 | ETA 20:32:05 2020-12-16 14:11:21 [INFO] [TRAIN] epoch=4, iter=1240/80000, loss=0.5265, lr=0.009861, batch_cost=0.8329, reader_cost=0.0007 | ETA 18:13:19 2020-12-16 14:11:30 [INFO] [TRAIN] epoch=4, iter=1250/80000, loss=0.3555, lr=0.009859, batch_cost=0.8748, reader_cost=0.0031 | ETA 19:08:10 2020-12-16 14:11:39 [INFO] [TRAIN] epoch=4, iter=1260/80000, loss=0.5421, lr=0.009858, batch_cost=0.8822, reader_cost=0.0001 | ETA 19:17:43 2020-12-16 14:11:49 [INFO] [TRAIN] epoch=4, iter=1270/80000, loss=0.6609, lr=0.009857, batch_cost=1.0110, reader_cost=0.0011 | ETA 22:06:38 2020-12-16 14:11:55 [INFO] [TRAIN] epoch=4, iter=1280/80000, loss=0.5598, lr=0.009856, batch_cost=0.6033, reader_cost=0.0007 | ETA 13:11:35 2020-12-16 14:12:00 [INFO] [TRAIN] epoch=4, iter=1290/80000, loss=0.5815, lr=0.009855, batch_cost=0.5508, reader_cost=0.0001 | ETA 12:02:37 2020-12-16 14:12:06 [INFO] [TRAIN] epoch=4, iter=1300/80000, loss=0.4860, lr=0.009854, batch_cost=0.5757, reader_cost=0.0018 | ETA 12:35:04 2020-12-16 14:12:12 [INFO] [TRAIN] epoch=4, iter=1310/80000, loss=0.3443, lr=0.009853, batch_cost=0.5495, reader_cost=0.0001 | ETA 12:00:41 2020-12-16 14:12:18 [INFO] [TRAIN] epoch=4, iter=1320/80000, loss=0.4131, lr=0.009851, batch_cost=0.6005, reader_cost=0.0001 | ETA 13:07:28 2020-12-16 14:12:25 [INFO] [TRAIN] epoch=4, iter=1330/80000, loss=0.5117, lr=0.009850, batch_cost=0.7688, reader_cost=0.0003 | ETA 16:48:02 2020-12-16 14:12:34 [INFO] [TRAIN] epoch=4, iter=1340/80000, loss=0.4322, lr=0.009849, batch_cost=0.9090, reader_cost=0.0013 | ETA 19:51:39 2020-12-16 14:12:43 [INFO] [TRAIN] epoch=4, iter=1350/80000, loss=0.3844, lr=0.009848, batch_cost=0.8978, reader_cost=0.0012 | ETA 19:36:49 2020-12-16 14:12:53 [INFO] [TRAIN] epoch=4, iter=1360/80000, loss=0.4313, lr=0.009847, batch_cost=0.9078, reader_cost=0.0006 | ETA 19:49:48 2020-12-16 14:13:02 [INFO] [TRAIN] epoch=4, iter=1370/80000, loss=0.3809, lr=0.009846, batch_cost=0.9375, reader_cost=0.0001 | ETA 20:28:38 2020-12-16 14:13:12 [INFO] [TRAIN] epoch=4, iter=1380/80000, loss=0.5941, lr=0.009845, batch_cost=0.9764, reader_cost=0.0012 | ETA 21:19:26 2020-12-16 14:13:21 [INFO] [TRAIN] epoch=4, iter=1390/80000, loss=0.4263, lr=0.009844, batch_cost=0.9225, reader_cost=0.0047 | ETA 20:08:38 2020-12-16 14:13:30 [INFO] [TRAIN] epoch=4, iter=1400/80000, loss=0.4954, lr=0.009842, batch_cost=0.9006, reader_cost=0.0014 | ETA 19:39:50 2020-12-16 14:13:38 [INFO] [TRAIN] epoch=4, iter=1410/80000, loss=0.3797, lr=0.009841, batch_cost=0.8442, reader_cost=0.0001 | ETA 18:25:48 2020-12-16 14:13:46 [INFO] [TRAIN] epoch=4, iter=1420/80000, loss=0.3073, lr=0.009840, batch_cost=0.8155, reader_cost=0.0013 | ETA 17:48:02 2020-12-16 14:13:55 [INFO] [TRAIN] epoch=4, iter=1430/80000, loss=0.3371, lr=0.009839, batch_cost=0.8846, reader_cost=0.0072 | ETA 19:18:21 2020-12-16 14:14:04 [INFO] [TRAIN] epoch=4, iter=1440/80000, loss=0.4587, lr=0.009838, batch_cost=0.8590, reader_cost=0.0029 | ETA 18:44:40 2020-12-16 14:14:13 [INFO] [TRAIN] epoch=4, iter=1450/80000, loss=0.5105, lr=0.009837, batch_cost=0.9308, reader_cost=0.0001 | ETA 20:18:34 2020-12-16 14:14:23 [INFO] [TRAIN] epoch=4, iter=1460/80000, loss=0.4403, lr=0.009836, batch_cost=0.9799, reader_cost=0.0014 | ETA 21:22:40 2020-12-16 14:14:32 [INFO] [TRAIN] epoch=4, iter=1470/80000, loss=0.4068, lr=0.009835, batch_cost=0.9060, reader_cost=0.0004 | ETA 19:45:51 2020-12-16 14:14:41 [INFO] [TRAIN] epoch=4, iter=1480/80000, loss=0.3076, lr=0.009833, batch_cost=0.8889, reader_cost=0.0027 | ETA 19:23:18 2020-12-16 14:14:50 [INFO] [TRAIN] epoch=5, iter=1490/80000, loss=0.3624, lr=0.009832, batch_cost=0.8845, reader_cost=0.0813 | ETA 19:17:18 2020-12-16 14:15:00 [INFO] [TRAIN] epoch=5, iter=1500/80000, loss=0.5629, lr=0.009831, batch_cost=0.9763, reader_cost=0.0017 | ETA 21:17:19 2020-12-16 14:15:09 [INFO] [TRAIN] epoch=5, iter=1510/80000, loss=0.3804, lr=0.009830, batch_cost=0.9300, reader_cost=0.0002 | ETA 20:16:32 2020-12-16 14:15:18 [INFO] [TRAIN] epoch=5, iter=1520/80000, loss=0.2965, lr=0.009829, batch_cost=0.9277, reader_cost=0.0006 | ETA 20:13:23 2020-12-16 14:15:27 [INFO] [TRAIN] epoch=5, iter=1530/80000, loss=0.4680, lr=0.009828, batch_cost=0.9226, reader_cost=0.0020 | ETA 20:06:38 2020-12-16 14:15:36 [INFO] [TRAIN] epoch=5, iter=1540/80000, loss=0.7724, lr=0.009827, batch_cost=0.8216, reader_cost=0.0035 | ETA 17:54:25 2020-12-16 14:15:45 [INFO] [TRAIN] epoch=5, iter=1550/80000, loss=0.3649, lr=0.009826, batch_cost=0.9836, reader_cost=0.0010 | ETA 21:25:59 2020-12-16 14:15:55 [INFO] [TRAIN] epoch=5, iter=1560/80000, loss=0.3347, lr=0.009824, batch_cost=0.9815, reader_cost=0.0024 | ETA 21:23:11 2020-12-16 14:16:04 [INFO] [TRAIN] epoch=5, iter=1570/80000, loss=0.6910, lr=0.009823, batch_cost=0.8880, reader_cost=0.0009 | ETA 19:20:43 2020-12-16 14:16:13 [INFO] [TRAIN] epoch=5, iter=1580/80000, loss=0.4195, lr=0.009822, batch_cost=0.8372, reader_cost=0.0055 | ETA 18:14:12 2020-12-16 14:16:22 [INFO] [TRAIN] epoch=5, iter=1590/80000, loss=0.4295, lr=0.009821, batch_cost=0.9491, reader_cost=0.0018 | ETA 20:40:16 2020-12-16 14:16:31 [INFO] [TRAIN] epoch=5, iter=1600/80000, loss=0.3996, lr=0.009820, batch_cost=0.8538, reader_cost=0.0031 | ETA 18:35:40 2020-12-16 14:16:40 [INFO] [TRAIN] epoch=5, iter=1610/80000, loss=0.4997, lr=0.009819, batch_cost=0.9206, reader_cost=0.0008 | ETA 20:02:49 2020-12-16 14:16:49 [INFO] [TRAIN] epoch=5, iter=1620/80000, loss=0.3549, lr=0.009818, batch_cost=0.8852, reader_cost=0.0010 | ETA 19:16:18 2020-12-16 14:16:58 [INFO] [TRAIN] epoch=5, iter=1630/80000, loss=0.6928, lr=0.009817, batch_cost=0.9525, reader_cost=0.0006 | ETA 20:44:10 2020-12-16 14:17:09 [INFO] [TRAIN] epoch=5, iter=1640/80000, loss=0.3575, lr=0.009815, batch_cost=1.0491, reader_cost=0.0006 | ETA 22:50:07 2020-12-16 14:17:19 [INFO] [TRAIN] epoch=5, iter=1650/80000, loss=0.3634, lr=0.009814, batch_cost=0.9964, reader_cost=0.0012 | ETA 21:41:06 2020-12-16 14:17:27 [INFO] [TRAIN] epoch=5, iter=1660/80000, loss=0.4596, lr=0.009813, batch_cost=0.8343, reader_cost=0.0001 | ETA 18:09:20 2020-12-16 14:17:36 [INFO] [TRAIN] epoch=5, iter=1670/80000, loss=0.4225, lr=0.009812, batch_cost=0.9100, reader_cost=0.0012 | ETA 19:48:01 2020-12-16 14:17:45 [INFO] [TRAIN] epoch=5, iter=1680/80000, loss=0.3452, lr=0.009811, batch_cost=0.9289, reader_cost=0.0053 | ETA 20:12:34 2020-12-16 14:17:54 [INFO] [TRAIN] epoch=5, iter=1690/80000, loss=0.5080, lr=0.009810, batch_cost=0.9071, reader_cost=0.0022 | ETA 19:43:57 2020-12-16 14:18:04 [INFO] [TRAIN] epoch=5, iter=1700/80000, loss=0.3875, lr=0.009809, batch_cost=0.9437, reader_cost=0.0021 | ETA 20:31:28 2020-12-16 14:18:13 [INFO] [TRAIN] epoch=5, iter=1710/80000, loss=0.3193, lr=0.009808, batch_cost=0.9083, reader_cost=0.0018 | ETA 19:45:10 2020-12-16 14:18:23 [INFO] [TRAIN] epoch=5, iter=1720/80000, loss=0.3670, lr=0.009806, batch_cost=0.9593, reader_cost=0.0008 | ETA 20:51:31 2020-12-16 14:18:32 [INFO] [TRAIN] epoch=5, iter=1730/80000, loss=0.4487, lr=0.009805, batch_cost=0.9016, reader_cost=0.0019 | ETA 19:36:05 2020-12-16 14:18:40 [INFO] [TRAIN] epoch=5, iter=1740/80000, loss=0.5577, lr=0.009804, batch_cost=0.8086, reader_cost=0.0011 | ETA 17:34:37 2020-12-16 14:18:45 [INFO] [TRAIN] epoch=5, iter=1750/80000, loss=0.5557, lr=0.009803, batch_cost=0.5762, reader_cost=0.0006 | ETA 12:31:31 2020-12-16 14:18:51 [INFO] [TRAIN] epoch=5, iter=1760/80000, loss=0.3337, lr=0.009802, batch_cost=0.5573, reader_cost=0.0002 | ETA 12:06:45 2020-12-16 14:18:56 [INFO] [TRAIN] epoch=5, iter=1770/80000, loss=0.4677, lr=0.009801, batch_cost=0.5354, reader_cost=0.0001 | ETA 11:38:04 2020-12-16 14:19:02 [INFO] [TRAIN] epoch=5, iter=1780/80000, loss=0.4572, lr=0.009800, batch_cost=0.5497, reader_cost=0.0001 | ETA 11:56:34 2020-12-16 14:19:07 [INFO] [TRAIN] epoch=5, iter=1790/80000, loss=0.5842, lr=0.009799, batch_cost=0.5585, reader_cost=0.0013 | ETA 12:08:04 2020-12-16 14:19:15 [INFO] [TRAIN] epoch=5, iter=1800/80000, loss=0.4926, lr=0.009797, batch_cost=0.7271, reader_cost=0.0021 | ETA 15:47:40 2020-12-16 14:19:23 [INFO] [TRAIN] epoch=5, iter=1810/80000, loss=0.7110, lr=0.009796, batch_cost=0.7910, reader_cost=0.0024 | ETA 17:10:49 2020-12-16 14:19:30 [INFO] [TRAIN] epoch=5, iter=1820/80000, loss=0.5202, lr=0.009795, batch_cost=0.7475, reader_cost=0.0006 | ETA 16:13:58 2020-12-16 14:19:38 [INFO] [TRAIN] epoch=5, iter=1830/80000, loss=0.3708, lr=0.009794, batch_cost=0.7875, reader_cost=0.0009 | ETA 17:06:01 2020-12-16 14:19:47 [INFO] [TRAIN] epoch=5, iter=1840/80000, loss=0.4416, lr=0.009793, batch_cost=0.8608, reader_cost=0.0029 | ETA 18:41:19 2020-12-16 14:19:55 [INFO] [TRAIN] epoch=5, iter=1850/80000, loss=0.4414, lr=0.009792, batch_cost=0.8359, reader_cost=0.0019 | ETA 18:08:49 2020-12-16 14:20:02 [INFO] [TRAIN] epoch=5, iter=1860/80000, loss=0.3933, lr=0.009791, batch_cost=0.6630, reader_cost=0.0034 | ETA 14:23:28 2020-12-16 14:20:11 [INFO] [TRAIN] epoch=6, iter=1870/80000, loss=0.3405, lr=0.009789, batch_cost=0.9040, reader_cost=0.0591 | ETA 19:37:09 2020-12-16 14:20:19 [INFO] [TRAIN] epoch=6, iter=1880/80000, loss=0.3733, lr=0.009788, batch_cost=0.8172, reader_cost=0.0009 | ETA 17:43:56 2020-12-16 14:20:26 [INFO] [TRAIN] epoch=6, iter=1890/80000, loss=0.4823, lr=0.009787, batch_cost=0.7570, reader_cost=0.0005 | ETA 16:25:32 2020-12-16 14:20:35 [INFO] [TRAIN] epoch=6, iter=1900/80000, loss=0.5985, lr=0.009786, batch_cost=0.8391, reader_cost=0.0001 | ETA 18:12:10 2020-12-16 14:20:44 [INFO] [TRAIN] epoch=6, iter=1910/80000, loss=0.2971, lr=0.009785, batch_cost=0.8871, reader_cost=0.0002 | ETA 19:14:32 2020-12-16 14:20:52 [INFO] [TRAIN] epoch=6, iter=1920/80000, loss=0.3031, lr=0.009784, batch_cost=0.8105, reader_cost=0.0008 | ETA 17:34:44 2020-12-16 14:21:00 [INFO] [TRAIN] epoch=6, iter=1930/80000, loss=0.3599, lr=0.009783, batch_cost=0.8196, reader_cost=0.0065 | ETA 17:46:24 2020-12-16 14:21:07 [INFO] [TRAIN] epoch=6, iter=1940/80000, loss=0.3103, lr=0.009782, batch_cost=0.7554, reader_cost=0.0047 | ETA 16:22:48 2020-12-16 14:21:16 [INFO] [TRAIN] epoch=6, iter=1950/80000, loss=0.2647, lr=0.009780, batch_cost=0.8377, reader_cost=0.0026 | ETA 18:09:45 2020-12-16 14:21:24 [INFO] [TRAIN] epoch=6, iter=1960/80000, loss=0.2797, lr=0.009779, batch_cost=0.8545, reader_cost=0.0001 | ETA 18:31:22 2020-12-16 14:21:32 [INFO] [TRAIN] epoch=6, iter=1970/80000, loss=0.5510, lr=0.009778, batch_cost=0.7800, reader_cost=0.0016 | ETA 16:54:24 2020-12-16 14:21:41 [INFO] [TRAIN] epoch=6, iter=1980/80000, loss=0.3889, lr=0.009777, batch_cost=0.8366, reader_cost=0.0011 | ETA 18:07:51 2020-12-16 14:21:48 [INFO] [TRAIN] epoch=6, iter=1990/80000, loss=0.3243, lr=0.009776, batch_cost=0.7873, reader_cost=0.0001 | ETA 17:03:33 2020-12-16 14:21:57 [INFO] [TRAIN] epoch=6, iter=2000/80000, loss=0.3146, lr=0.009775, batch_cost=0.8365, reader_cost=0.0031 | ETA 18:07:29 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 14:21:57 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 14:22:42 [INFO] [EVAL] #Images=500 mIoU=0.5882 Acc=0.9309 Kappa=0.9099 2020-12-16 14:22:42 [INFO] [EVAL] Class IoU: [0.9588 0.7071 0.8802 0.2748 0.4474 0.4587 0.5515 0.6282 0.8975 0.4458 0.9122 0.7168 0.3755 0.8975 0.2171 0.3241 0.3649 0.4284 0.689 ] 2020-12-16 14:22:42 [INFO] [EVAL] Class Acc: [0.9751 0.8297 0.9083 0.7411 0.6767 0.7693 0.7679 0.8771 0.9484 0.7418 0.9526 0.796 0.693 0.9319 0.7785 0.9572 0.4148 0.7556 0.8312] 2020-12-16 14:22:52 [INFO] [EVAL] The model with the best validation mIoU (0.5882) was saved at iter 2000. 2020-12-16 14:23:01 [INFO] [TRAIN] epoch=6, iter=2010/80000, loss=0.3212, lr=0.009774, batch_cost=0.8419, reader_cost=0.0040 | ETA 18:14:18 2020-12-16 14:23:08 [INFO] [TRAIN] epoch=6, iter=2020/80000, loss=0.3885, lr=0.009773, batch_cost=0.7617, reader_cost=0.0001 | ETA 16:29:56 2020-12-16 14:23:16 [INFO] [TRAIN] epoch=6, iter=2030/80000, loss=0.3292, lr=0.009771, batch_cost=0.7839, reader_cost=0.0012 | ETA 16:58:38 2020-12-16 14:23:25 [INFO] [TRAIN] epoch=6, iter=2040/80000, loss=0.3226, lr=0.009770, batch_cost=0.8787, reader_cost=0.0005 | ETA 19:01:44 2020-12-16 14:23:33 [INFO] [TRAIN] epoch=6, iter=2050/80000, loss=0.3232, lr=0.009769, batch_cost=0.8327, reader_cost=0.0004 | ETA 18:01:47 2020-12-16 14:23:41 [INFO] [TRAIN] epoch=6, iter=2060/80000, loss=0.2894, lr=0.009768, batch_cost=0.8117, reader_cost=0.0034 | ETA 17:34:26 2020-12-16 14:23:49 [INFO] [TRAIN] epoch=6, iter=2070/80000, loss=0.3837, lr=0.009767, batch_cost=0.7522, reader_cost=0.0073 | ETA 16:17:01 2020-12-16 14:23:57 [INFO] [TRAIN] epoch=6, iter=2080/80000, loss=0.6058, lr=0.009766, batch_cost=0.7694, reader_cost=0.0022 | ETA 16:39:11 2020-12-16 14:24:02 [INFO] [TRAIN] epoch=6, iter=2090/80000, loss=0.5374, lr=0.009765, batch_cost=0.5531, reader_cost=0.0001 | ETA 11:58:08 2020-12-16 14:24:08 [INFO] [TRAIN] epoch=6, iter=2100/80000, loss=0.5336, lr=0.009764, batch_cost=0.6229, reader_cost=0.0001 | ETA 13:28:44 2020-12-16 14:24:14 [INFO] [TRAIN] epoch=6, iter=2110/80000, loss=0.5162, lr=0.009762, batch_cost=0.5477, reader_cost=0.0001 | ETA 11:50:59 2020-12-16 14:24:20 [INFO] [TRAIN] epoch=6, iter=2120/80000, loss=0.3827, lr=0.009761, batch_cost=0.5807, reader_cost=0.0001 | ETA 12:33:44 2020-12-16 14:24:26 [INFO] [TRAIN] epoch=6, iter=2130/80000, loss=0.3410, lr=0.009760, batch_cost=0.6079, reader_cost=0.0018 | ETA 13:08:58 2020-12-16 14:24:35 [INFO] [TRAIN] epoch=6, iter=2140/80000, loss=0.3148, lr=0.009759, batch_cost=0.8830, reader_cost=0.0005 | ETA 19:05:48 2020-12-16 14:24:43 [INFO] [TRAIN] epoch=6, iter=2150/80000, loss=0.3106, lr=0.009758, batch_cost=0.8835, reader_cost=0.0001 | ETA 19:06:18 2020-12-16 14:24:54 [INFO] [TRAIN] epoch=6, iter=2160/80000, loss=0.4972, lr=0.009757, batch_cost=1.0572, reader_cost=0.0009 | ETA 22:51:30 2020-12-16 14:25:03 [INFO] [TRAIN] epoch=6, iter=2170/80000, loss=0.4480, lr=0.009756, batch_cost=0.9094, reader_cost=0.0015 | ETA 19:39:40 2020-12-16 14:25:12 [INFO] [TRAIN] epoch=6, iter=2180/80000, loss=0.2241, lr=0.009755, batch_cost=0.8758, reader_cost=0.0068 | ETA 18:55:55 2020-12-16 14:25:21 [INFO] [TRAIN] epoch=6, iter=2190/80000, loss=0.2721, lr=0.009753, batch_cost=0.9466, reader_cost=0.0002 | ETA 20:27:36 2020-12-16 14:25:30 [INFO] [TRAIN] epoch=6, iter=2200/80000, loss=0.3582, lr=0.009752, batch_cost=0.8576, reader_cost=0.0028 | ETA 18:32:03 2020-12-16 14:25:39 [INFO] [TRAIN] epoch=6, iter=2210/80000, loss=0.3624, lr=0.009751, batch_cost=0.9119, reader_cost=0.0020 | ETA 19:42:12 2020-12-16 14:25:48 [INFO] [TRAIN] epoch=6, iter=2220/80000, loss=0.4521, lr=0.009750, batch_cost=0.8583, reader_cost=0.0002 | ETA 18:32:36 2020-12-16 14:25:57 [INFO] [TRAIN] epoch=6, iter=2230/80000, loss=0.5598, lr=0.009749, batch_cost=0.8981, reader_cost=0.0005 | ETA 19:24:02 2020-12-16 14:26:08 [INFO] [TRAIN] epoch=7, iter=2240/80000, loss=0.3691, lr=0.009748, batch_cost=1.0913, reader_cost=0.0729 | ETA 23:34:16 2020-12-16 14:26:18 [INFO] [TRAIN] epoch=7, iter=2250/80000, loss=0.5187, lr=0.009747, batch_cost=1.0116, reader_cost=0.0013 | ETA 21:50:55 2020-12-16 14:26:28 [INFO] [TRAIN] epoch=7, iter=2260/80000, loss=0.4564, lr=0.009745, batch_cost=1.0286, reader_cost=0.0035 | ETA 22:12:45 2020-12-16 14:26:38 [INFO] [TRAIN] epoch=7, iter=2270/80000, loss=0.4492, lr=0.009744, batch_cost=1.0111, reader_cost=0.0012 | ETA 21:49:55 2020-12-16 14:26:46 [INFO] [TRAIN] epoch=7, iter=2280/80000, loss=0.4172, lr=0.009743, batch_cost=0.8269, reader_cost=0.0031 | ETA 17:51:09 2020-12-16 14:26:55 [INFO] [TRAIN] epoch=7, iter=2290/80000, loss=0.3183, lr=0.009742, batch_cost=0.8447, reader_cost=0.0013 | ETA 18:14:01 2020-12-16 14:27:04 [INFO] [TRAIN] epoch=7, iter=2300/80000, loss=0.3465, lr=0.009741, batch_cost=0.9381, reader_cost=0.0016 | ETA 20:14:51 2020-12-16 14:27:13 [INFO] [TRAIN] epoch=7, iter=2310/80000, loss=0.3420, lr=0.009740, batch_cost=0.9289, reader_cost=0.0009 | ETA 20:02:44 2020-12-16 14:27:23 [INFO] [TRAIN] epoch=7, iter=2320/80000, loss=0.5799, lr=0.009739, batch_cost=1.0032, reader_cost=0.0047 | ETA 21:38:47 2020-12-16 14:27:33 [INFO] [TRAIN] epoch=7, iter=2330/80000, loss=0.4294, lr=0.009738, batch_cost=0.9050, reader_cost=0.0005 | ETA 19:31:29 2020-12-16 14:27:43 [INFO] [TRAIN] epoch=7, iter=2340/80000, loss=0.4130, lr=0.009736, batch_cost=1.0181, reader_cost=0.0028 | ETA 21:57:44 2020-12-16 14:27:51 [INFO] [TRAIN] epoch=7, iter=2350/80000, loss=0.4017, lr=0.009735, batch_cost=0.8651, reader_cost=0.0001 | ETA 18:39:34 2020-12-16 14:28:01 [INFO] [TRAIN] epoch=7, iter=2360/80000, loss=0.3904, lr=0.009734, batch_cost=0.9259, reader_cost=0.0025 | ETA 19:58:06 2020-12-16 14:28:09 [INFO] [TRAIN] epoch=7, iter=2370/80000, loss=0.3432, lr=0.009733, batch_cost=0.8399, reader_cost=0.0002 | ETA 18:06:43 2020-12-16 14:28:19 [INFO] [TRAIN] epoch=7, iter=2380/80000, loss=0.3370, lr=0.009732, batch_cost=0.9944, reader_cost=0.0061 | ETA 21:26:27 2020-12-16 14:28:28 [INFO] [TRAIN] epoch=7, iter=2390/80000, loss=0.3123, lr=0.009731, batch_cost=0.8765, reader_cost=0.0005 | ETA 18:53:47 2020-12-16 14:28:37 [INFO] [TRAIN] epoch=7, iter=2400/80000, loss=0.2903, lr=0.009730, batch_cost=0.9578, reader_cost=0.0001 | ETA 20:38:42 2020-12-16 14:28:47 [INFO] [TRAIN] epoch=7, iter=2410/80000, loss=0.3337, lr=0.009729, batch_cost=1.0094, reader_cost=0.0001 | ETA 21:45:19 2020-12-16 14:28:57 [INFO] [TRAIN] epoch=7, iter=2420/80000, loss=0.2764, lr=0.009727, batch_cost=0.9234, reader_cost=0.0002 | ETA 19:53:58 2020-12-16 14:29:06 [INFO] [TRAIN] epoch=7, iter=2430/80000, loss=0.5436, lr=0.009726, batch_cost=0.9041, reader_cost=0.0014 | ETA 19:28:52 2020-12-16 14:29:15 [INFO] [TRAIN] epoch=7, iter=2440/80000, loss=0.2873, lr=0.009725, batch_cost=0.9421, reader_cost=0.0007 | ETA 20:17:47 2020-12-16 14:29:25 [INFO] [TRAIN] epoch=7, iter=2450/80000, loss=0.3278, lr=0.009724, batch_cost=1.0311, reader_cost=0.0002 | ETA 22:12:38 2020-12-16 14:29:34 [INFO] [TRAIN] epoch=7, iter=2460/80000, loss=0.3682, lr=0.009723, batch_cost=0.8650, reader_cost=0.0001 | ETA 18:37:52 2020-12-16 14:29:43 [INFO] [TRAIN] epoch=7, iter=2470/80000, loss=0.3639, lr=0.009722, batch_cost=0.8399, reader_cost=0.0005 | ETA 18:05:13 2020-12-16 14:29:51 [INFO] [TRAIN] epoch=7, iter=2480/80000, loss=0.2796, lr=0.009721, batch_cost=0.8802, reader_cost=0.0030 | ETA 18:57:10 2020-12-16 14:30:00 [INFO] [TRAIN] epoch=7, iter=2490/80000, loss=0.3402, lr=0.009720, batch_cost=0.9097, reader_cost=0.0028 | ETA 19:35:14 2020-12-16 14:30:09 [INFO] [TRAIN] epoch=7, iter=2500/80000, loss=0.3598, lr=0.009718, batch_cost=0.9047, reader_cost=0.0005 | ETA 19:28:36 2020-12-16 14:30:15 [INFO] [TRAIN] epoch=7, iter=2510/80000, loss=0.3447, lr=0.009717, batch_cost=0.5468, reader_cost=0.0001 | ETA 11:46:09 2020-12-16 14:30:21 [INFO] [TRAIN] epoch=7, iter=2520/80000, loss=0.5000, lr=0.009716, batch_cost=0.6034, reader_cost=0.0021 | ETA 12:59:12 2020-12-16 14:30:27 [INFO] [TRAIN] epoch=7, iter=2530/80000, loss=0.2635, lr=0.009715, batch_cost=0.5597, reader_cost=0.0003 | ETA 12:02:40 2020-12-16 14:30:32 [INFO] [TRAIN] epoch=7, iter=2540/80000, loss=0.4532, lr=0.009714, batch_cost=0.5524, reader_cost=0.0002 | ETA 11:53:08 2020-12-16 14:30:38 [INFO] [TRAIN] epoch=7, iter=2550/80000, loss=0.3860, lr=0.009713, batch_cost=0.6203, reader_cost=0.0002 | ETA 13:20:41 2020-12-16 14:30:48 [INFO] [TRAIN] epoch=7, iter=2560/80000, loss=0.4273, lr=0.009712, batch_cost=0.9405, reader_cost=0.0014 | ETA 20:13:53 2020-12-16 14:30:56 [INFO] [TRAIN] epoch=7, iter=2570/80000, loss=0.3393, lr=0.009711, batch_cost=0.8626, reader_cost=0.0001 | ETA 18:33:09 2020-12-16 14:31:05 [INFO] [TRAIN] epoch=7, iter=2580/80000, loss=0.3307, lr=0.009709, batch_cost=0.9091, reader_cost=0.0015 | ETA 19:32:59 2020-12-16 14:31:15 [INFO] [TRAIN] epoch=7, iter=2590/80000, loss=0.3623, lr=0.009708, batch_cost=0.9631, reader_cost=0.0054 | ETA 20:42:34 2020-12-16 14:31:24 [INFO] [TRAIN] epoch=7, iter=2600/80000, loss=0.3875, lr=0.009707, batch_cost=0.8707, reader_cost=0.0001 | ETA 18:43:09 2020-12-16 14:31:32 [INFO] [TRAIN] epoch=8, iter=2610/80000, loss=0.3082, lr=0.009706, batch_cost=0.8587, reader_cost=0.0862 | ETA 18:27:37 2020-12-16 14:31:40 [INFO] [TRAIN] epoch=8, iter=2620/80000, loss=0.3797, lr=0.009705, batch_cost=0.8046, reader_cost=0.0001 | ETA 17:17:37 2020-12-16 14:31:49 [INFO] [TRAIN] epoch=8, iter=2630/80000, loss=0.3889, lr=0.009704, batch_cost=0.8582, reader_cost=0.0001 | ETA 18:26:39 2020-12-16 14:31:58 [INFO] [TRAIN] epoch=8, iter=2640/80000, loss=0.3265, lr=0.009703, batch_cost=0.9055, reader_cost=0.0005 | ETA 19:27:26 2020-12-16 14:32:07 [INFO] [TRAIN] epoch=8, iter=2650/80000, loss=0.5071, lr=0.009701, batch_cost=0.8740, reader_cost=0.0007 | ETA 18:46:46 2020-12-16 14:32:16 [INFO] [TRAIN] epoch=8, iter=2660/80000, loss=0.3438, lr=0.009700, batch_cost=0.8922, reader_cost=0.0019 | ETA 19:10:04 2020-12-16 14:32:24 [INFO] [TRAIN] epoch=8, iter=2670/80000, loss=0.4015, lr=0.009699, batch_cost=0.8470, reader_cost=0.0022 | ETA 18:11:39 2020-12-16 14:32:33 [INFO] [TRAIN] epoch=8, iter=2680/80000, loss=0.2847, lr=0.009698, batch_cost=0.9331, reader_cost=0.0027 | ETA 20:02:23 2020-12-16 14:32:42 [INFO] [TRAIN] epoch=8, iter=2690/80000, loss=0.3568, lr=0.009697, batch_cost=0.8935, reader_cost=0.0001 | ETA 19:11:20 2020-12-16 14:32:51 [INFO] [TRAIN] epoch=8, iter=2700/80000, loss=0.3795, lr=0.009696, batch_cost=0.8728, reader_cost=0.0001 | ETA 18:44:30 2020-12-16 14:32:59 [INFO] [TRAIN] epoch=8, iter=2710/80000, loss=0.4103, lr=0.009695, batch_cost=0.7977, reader_cost=0.0013 | ETA 17:07:30 2020-12-16 14:33:07 [INFO] [TRAIN] epoch=8, iter=2720/80000, loss=0.5247, lr=0.009694, batch_cost=0.8293, reader_cost=0.0001 | ETA 17:48:05 2020-12-16 14:33:15 [INFO] [TRAIN] epoch=8, iter=2730/80000, loss=0.7688, lr=0.009692, batch_cost=0.7207, reader_cost=0.0009 | ETA 15:28:08 2020-12-16 14:33:24 [INFO] [TRAIN] epoch=8, iter=2740/80000, loss=0.4879, lr=0.009691, batch_cost=0.8881, reader_cost=0.0005 | ETA 19:03:33 2020-12-16 14:33:33 [INFO] [TRAIN] epoch=8, iter=2750/80000, loss=0.3871, lr=0.009690, batch_cost=0.9506, reader_cost=0.0008 | ETA 20:23:54 2020-12-16 14:33:42 [INFO] [TRAIN] epoch=8, iter=2760/80000, loss=0.4458, lr=0.009689, batch_cost=0.8909, reader_cost=0.0043 | ETA 19:06:54 2020-12-16 14:33:52 [INFO] [TRAIN] epoch=8, iter=2770/80000, loss=0.2299, lr=0.009688, batch_cost=1.0499, reader_cost=0.0009 | ETA 22:31:20 2020-12-16 14:34:01 [INFO] [TRAIN] epoch=8, iter=2780/80000, loss=0.3851, lr=0.009687, batch_cost=0.8955, reader_cost=0.0038 | ETA 19:12:30 2020-12-16 14:34:11 [INFO] [TRAIN] epoch=8, iter=2790/80000, loss=0.3030, lr=0.009686, batch_cost=0.9230, reader_cost=0.0018 | ETA 19:47:41 2020-12-16 14:34:20 [INFO] [TRAIN] epoch=8, iter=2800/80000, loss=0.3952, lr=0.009685, batch_cost=0.9266, reader_cost=0.0029 | ETA 19:52:17 2020-12-16 14:34:29 [INFO] [TRAIN] epoch=8, iter=2810/80000, loss=0.5119, lr=0.009683, batch_cost=0.8806, reader_cost=0.0039 | ETA 18:52:49 2020-12-16 14:34:38 [INFO] [TRAIN] epoch=8, iter=2820/80000, loss=0.4492, lr=0.009682, batch_cost=0.8915, reader_cost=0.0004 | ETA 19:06:46 2020-12-16 14:34:47 [INFO] [TRAIN] epoch=8, iter=2830/80000, loss=0.4689, lr=0.009681, batch_cost=0.9838, reader_cost=0.0023 | ETA 21:05:18 2020-12-16 14:34:56 [INFO] [TRAIN] epoch=8, iter=2840/80000, loss=0.4762, lr=0.009680, batch_cost=0.8546, reader_cost=0.0010 | ETA 18:18:57 2020-12-16 14:35:05 [INFO] [TRAIN] epoch=8, iter=2850/80000, loss=0.2821, lr=0.009679, batch_cost=0.9419, reader_cost=0.0009 | ETA 20:11:10 2020-12-16 14:35:14 [INFO] [TRAIN] epoch=8, iter=2860/80000, loss=0.3364, lr=0.009678, batch_cost=0.8383, reader_cost=0.0015 | ETA 17:57:50 2020-12-16 14:35:23 [INFO] [TRAIN] epoch=8, iter=2870/80000, loss=0.5787, lr=0.009677, batch_cost=0.9198, reader_cost=0.0006 | ETA 19:42:25 2020-12-16 14:35:32 [INFO] [TRAIN] epoch=8, iter=2880/80000, loss=0.5878, lr=0.009676, batch_cost=0.9422, reader_cost=0.0040 | ETA 20:11:03 2020-12-16 14:35:40 [INFO] [TRAIN] epoch=8, iter=2890/80000, loss=0.4627, lr=0.009674, batch_cost=0.7301, reader_cost=0.0039 | ETA 15:38:15 2020-12-16 14:35:45 [INFO] [TRAIN] epoch=8, iter=2900/80000, loss=0.3449, lr=0.009673, batch_cost=0.5477, reader_cost=0.0003 | ETA 11:43:47 2020-12-16 14:35:51 [INFO] [TRAIN] epoch=8, iter=2910/80000, loss=0.3568, lr=0.009672, batch_cost=0.6007, reader_cost=0.0001 | ETA 12:51:47 2020-12-16 14:35:57 [INFO] [TRAIN] epoch=8, iter=2920/80000, loss=0.3390, lr=0.009671, batch_cost=0.5585, reader_cost=0.0001 | ETA 11:57:30 2020-12-16 14:36:03 [INFO] [TRAIN] epoch=8, iter=2930/80000, loss=0.4808, lr=0.009670, batch_cost=0.6069, reader_cost=0.0007 | ETA 12:59:33 2020-12-16 14:36:10 [INFO] [TRAIN] epoch=8, iter=2940/80000, loss=0.3676, lr=0.009669, batch_cost=0.7240, reader_cost=0.0002 | ETA 15:29:52 2020-12-16 14:36:20 [INFO] [TRAIN] epoch=8, iter=2950/80000, loss=0.8375, lr=0.009668, batch_cost=0.9865, reader_cost=0.0012 | ETA 21:06:49 2020-12-16 14:36:29 [INFO] [TRAIN] epoch=8, iter=2960/80000, loss=0.5410, lr=0.009666, batch_cost=0.9497, reader_cost=0.0014 | ETA 20:19:26 2020-12-16 14:36:39 [INFO] [TRAIN] epoch=8, iter=2970/80000, loss=0.5548, lr=0.009665, batch_cost=0.9634, reader_cost=0.0024 | ETA 20:36:52 2020-12-16 14:36:49 [INFO] [TRAIN] epoch=9, iter=2980/80000, loss=0.3684, lr=0.009664, batch_cost=1.0296, reader_cost=0.0872 | ETA 22:01:40 2020-12-16 14:36:59 [INFO] [TRAIN] epoch=9, iter=2990/80000, loss=0.2589, lr=0.009663, batch_cost=0.9821, reader_cost=0.0001 | ETA 21:00:32 2020-12-16 14:37:09 [INFO] [TRAIN] epoch=9, iter=3000/80000, loss=0.3976, lr=0.009662, batch_cost=1.0231, reader_cost=0.0009 | ETA 21:52:59 aug_eval False scales 1.0 2020-12-16 14:37:10 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 14:37:51 [INFO] [EVAL] #Images=500 mIoU=0.6140 Acc=0.9330 Kappa=0.9127 2020-12-16 14:37:51 [INFO] [EVAL] Class IoU: [0.9625 0.7358 0.8758 0.2153 0.4419 0.4745 0.5492 0.6664 0.8959 0.4877 0.9128 0.7151 0.4647 0.8969 0.3477 0.5267 0.3554 0.4512 0.6907] 2020-12-16 14:37:51 [INFO] [EVAL] Class Acc: [0.9751 0.9012 0.9067 0.7087 0.7295 0.7189 0.6544 0.856 0.944 0.8597 0.9617 0.8018 0.6036 0.9317 0.6388 0.6905 0.801 0.5991 0.819 ] 2020-12-16 14:37:58 [INFO] [EVAL] The model with the best validation mIoU (0.6140) was saved at iter 3000. 2020-12-16 14:38:04 [INFO] [TRAIN] epoch=9, iter=3010/80000, loss=0.3359, lr=0.009661, batch_cost=0.5396, reader_cost=0.0001 | ETA 11:32:21 2020-12-16 14:38:10 [INFO] [TRAIN] epoch=9, iter=3020/80000, loss=0.3611, lr=0.009660, batch_cost=0.5828, reader_cost=0.0005 | ETA 12:27:43 2020-12-16 14:38:19 [INFO] [TRAIN] epoch=9, iter=3030/80000, loss=0.4766, lr=0.009659, batch_cost=0.9192, reader_cost=0.0016 | ETA 19:39:12 2020-12-16 14:38:28 [INFO] [TRAIN] epoch=9, iter=3040/80000, loss=0.3552, lr=0.009657, batch_cost=0.9184, reader_cost=0.0012 | ETA 19:37:58 2020-12-16 14:38:38 [INFO] [TRAIN] epoch=9, iter=3050/80000, loss=0.3500, lr=0.009656, batch_cost=0.9844, reader_cost=0.0001 | ETA 21:02:31 2020-12-16 14:38:47 [INFO] [TRAIN] epoch=9, iter=3060/80000, loss=0.4529, lr=0.009655, batch_cost=0.9482, reader_cost=0.0001 | ETA 20:15:51 2020-12-16 14:38:57 [INFO] [TRAIN] epoch=9, iter=3070/80000, loss=0.3676, lr=0.009654, batch_cost=0.9672, reader_cost=0.0049 | ETA 20:40:09 2020-12-16 14:39:06 [INFO] [TRAIN] epoch=9, iter=3080/80000, loss=0.3009, lr=0.009653, batch_cost=0.9210, reader_cost=0.0014 | ETA 19:40:46 2020-12-16 14:39:16 [INFO] [TRAIN] epoch=9, iter=3090/80000, loss=0.3017, lr=0.009652, batch_cost=0.9364, reader_cost=0.0020 | ETA 20:00:17 2020-12-16 14:39:25 [INFO] [TRAIN] epoch=9, iter=3100/80000, loss=0.3053, lr=0.009651, batch_cost=0.9593, reader_cost=0.0002 | ETA 20:29:33 2020-12-16 14:39:35 [INFO] [TRAIN] epoch=9, iter=3110/80000, loss=0.2550, lr=0.009650, batch_cost=0.9800, reader_cost=0.0039 | ETA 20:55:51 2020-12-16 14:39:45 [INFO] [TRAIN] epoch=9, iter=3120/80000, loss=0.4786, lr=0.009648, batch_cost=0.9809, reader_cost=0.0009 | ETA 20:56:48 2020-12-16 14:39:54 [INFO] [TRAIN] epoch=9, iter=3130/80000, loss=0.4065, lr=0.009647, batch_cost=0.9370, reader_cost=0.0037 | ETA 20:00:26 2020-12-16 14:40:03 [INFO] [TRAIN] epoch=9, iter=3140/80000, loss=0.3552, lr=0.009646, batch_cost=0.9242, reader_cost=0.0002 | ETA 19:43:51 2020-12-16 14:40:14 [INFO] [TRAIN] epoch=9, iter=3150/80000, loss=0.3393, lr=0.009645, batch_cost=1.0423, reader_cost=0.0030 | ETA 22:15:01 2020-12-16 14:40:24 [INFO] [TRAIN] epoch=9, iter=3160/80000, loss=0.4224, lr=0.009644, batch_cost=0.9798, reader_cost=0.0023 | ETA 20:54:46 2020-12-16 14:40:33 [INFO] [TRAIN] epoch=9, iter=3170/80000, loss=0.3716, lr=0.009643, batch_cost=0.9548, reader_cost=0.0007 | ETA 20:22:38 2020-12-16 14:40:43 [INFO] [TRAIN] epoch=9, iter=3180/80000, loss=0.3770, lr=0.009642, batch_cost=0.9605, reader_cost=0.0031 | ETA 20:29:45 2020-12-16 14:40:53 [INFO] [TRAIN] epoch=9, iter=3190/80000, loss=0.3749, lr=0.009641, batch_cost=0.9711, reader_cost=0.0013 | ETA 20:43:09 2020-12-16 14:41:03 [INFO] [TRAIN] epoch=9, iter=3200/80000, loss=0.2952, lr=0.009639, batch_cost=0.9933, reader_cost=0.0061 | ETA 21:11:26 2020-12-16 14:41:11 [INFO] [TRAIN] epoch=9, iter=3210/80000, loss=0.3046, lr=0.009638, batch_cost=0.8922, reader_cost=0.0048 | ETA 19:01:48 2020-12-16 14:41:21 [INFO] [TRAIN] epoch=9, iter=3220/80000, loss=0.2943, lr=0.009637, batch_cost=0.9247, reader_cost=0.0005 | ETA 19:43:15 2020-12-16 14:41:30 [INFO] [TRAIN] epoch=9, iter=3230/80000, loss=0.4174, lr=0.009636, batch_cost=0.8935, reader_cost=0.0016 | ETA 19:03:13 2020-12-16 14:41:39 [INFO] [TRAIN] epoch=9, iter=3240/80000, loss=0.3109, lr=0.009635, batch_cost=0.8936, reader_cost=0.0007 | ETA 19:03:15 2020-12-16 14:41:49 [INFO] [TRAIN] epoch=9, iter=3250/80000, loss=0.2085, lr=0.009634, batch_cost=1.0667, reader_cost=0.0009 | ETA 22:44:25 2020-12-16 14:41:59 [INFO] [TRAIN] epoch=9, iter=3260/80000, loss=0.3232, lr=0.009633, batch_cost=0.9758, reader_cost=0.0034 | ETA 20:48:00 2020-12-16 14:42:08 [INFO] [TRAIN] epoch=9, iter=3270/80000, loss=0.2792, lr=0.009631, batch_cost=0.8814, reader_cost=0.0007 | ETA 18:47:11 2020-12-16 14:42:18 [INFO] [TRAIN] epoch=9, iter=3280/80000, loss=0.3574, lr=0.009630, batch_cost=1.0020, reader_cost=0.0011 | ETA 21:21:13 2020-12-16 14:42:26 [INFO] [TRAIN] epoch=9, iter=3290/80000, loss=0.4205, lr=0.009629, batch_cost=0.8636, reader_cost=0.0013 | ETA 18:24:05 2020-12-16 14:42:35 [INFO] [TRAIN] epoch=9, iter=3300/80000, loss=0.3226, lr=0.009628, batch_cost=0.8550, reader_cost=0.0007 | ETA 18:13:00 2020-12-16 14:42:44 [INFO] [TRAIN] epoch=9, iter=3310/80000, loss=0.3502, lr=0.009627, batch_cost=0.9212, reader_cost=0.0014 | ETA 19:37:27 2020-12-16 14:42:53 [INFO] [TRAIN] epoch=9, iter=3320/80000, loss=0.2652, lr=0.009626, batch_cost=0.9229, reader_cost=0.0006 | ETA 19:39:25 2020-12-16 14:43:01 [INFO] [TRAIN] epoch=9, iter=3330/80000, loss=0.3257, lr=0.009625, batch_cost=0.8039, reader_cost=0.0020 | ETA 17:07:16 2020-12-16 14:43:07 [INFO] [TRAIN] epoch=9, iter=3340/80000, loss=0.3631, lr=0.009624, batch_cost=0.5555, reader_cost=0.0001 | ETA 11:49:42 2020-12-16 14:43:13 [INFO] [TRAIN] epoch=10, iter=3350/80000, loss=0.3213, lr=0.009622, batch_cost=0.6062, reader_cost=0.0593 | ETA 12:54:26 2020-12-16 14:43:19 [INFO] [TRAIN] epoch=10, iter=3360/80000, loss=0.4260, lr=0.009621, batch_cost=0.5872, reader_cost=0.0001 | ETA 12:30:04 2020-12-16 14:43:25 [INFO] [TRAIN] epoch=10, iter=3370/80000, loss=0.3384, lr=0.009620, batch_cost=0.5744, reader_cost=0.0003 | ETA 12:13:36 2020-12-16 14:43:31 [INFO] [TRAIN] epoch=10, iter=3380/80000, loss=0.2687, lr=0.009619, batch_cost=0.6420, reader_cost=0.0004 | ETA 13:39:50 2020-12-16 14:43:39 [INFO] [TRAIN] epoch=10, iter=3390/80000, loss=0.3642, lr=0.009618, batch_cost=0.7458, reader_cost=0.0007 | ETA 15:52:18 2020-12-16 14:43:46 [INFO] [TRAIN] epoch=10, iter=3400/80000, loss=0.3254, lr=0.009617, batch_cost=0.7662, reader_cost=0.0011 | ETA 16:18:12 2020-12-16 14:43:54 [INFO] [TRAIN] epoch=10, iter=3410/80000, loss=0.3258, lr=0.009616, batch_cost=0.7363, reader_cost=0.0034 | ETA 15:39:53 2020-12-16 14:44:02 [INFO] [TRAIN] epoch=10, iter=3420/80000, loss=0.3330, lr=0.009615, batch_cost=0.8577, reader_cost=0.0029 | ETA 18:14:44 2020-12-16 14:44:11 [INFO] [TRAIN] epoch=10, iter=3430/80000, loss=0.2881, lr=0.009613, batch_cost=0.8494, reader_cost=0.0008 | ETA 18:04:01 2020-12-16 14:44:19 [INFO] [TRAIN] epoch=10, iter=3440/80000, loss=0.3218, lr=0.009612, batch_cost=0.8254, reader_cost=0.0018 | ETA 17:33:12 2020-12-16 14:44:28 [INFO] [TRAIN] epoch=10, iter=3450/80000, loss=0.3849, lr=0.009611, batch_cost=0.8801, reader_cost=0.0013 | ETA 18:42:48 2020-12-16 14:44:36 [INFO] [TRAIN] epoch=10, iter=3460/80000, loss=0.3451, lr=0.009610, batch_cost=0.8685, reader_cost=0.0024 | ETA 18:27:56 2020-12-16 14:44:45 [INFO] [TRAIN] epoch=10, iter=3470/80000, loss=0.3453, lr=0.009609, batch_cost=0.8387, reader_cost=0.0024 | ETA 17:49:48 2020-12-16 14:44:54 [INFO] [TRAIN] epoch=10, iter=3480/80000, loss=0.3084, lr=0.009608, batch_cost=0.8793, reader_cost=0.0029 | ETA 18:41:24 2020-12-16 14:45:02 [INFO] [TRAIN] epoch=10, iter=3490/80000, loss=0.2909, lr=0.009607, batch_cost=0.8400, reader_cost=0.0002 | ETA 17:51:11 2020-12-16 14:45:10 [INFO] [TRAIN] epoch=10, iter=3500/80000, loss=0.2542, lr=0.009605, batch_cost=0.8188, reader_cost=0.0027 | ETA 17:24:01 2020-12-16 14:45:19 [INFO] [TRAIN] epoch=10, iter=3510/80000, loss=0.3265, lr=0.009604, batch_cost=0.9150, reader_cost=0.0046 | ETA 19:26:29 2020-12-16 14:45:27 [INFO] [TRAIN] epoch=10, iter=3520/80000, loss=0.3748, lr=0.009603, batch_cost=0.7717, reader_cost=0.0002 | ETA 16:23:42 2020-12-16 14:45:36 [INFO] [TRAIN] epoch=10, iter=3530/80000, loss=0.3690, lr=0.009602, batch_cost=0.8396, reader_cost=0.0033 | ETA 17:50:02 2020-12-16 14:45:44 [INFO] [TRAIN] epoch=10, iter=3540/80000, loss=0.2980, lr=0.009601, batch_cost=0.8158, reader_cost=0.0021 | ETA 17:19:33 2020-12-16 14:45:52 [INFO] [TRAIN] epoch=10, iter=3550/80000, loss=0.4267, lr=0.009600, batch_cost=0.8131, reader_cost=0.0018 | ETA 17:16:00 2020-12-16 14:46:00 [INFO] [TRAIN] epoch=10, iter=3560/80000, loss=0.4630, lr=0.009599, batch_cost=0.8432, reader_cost=0.0001 | ETA 17:54:10 2020-12-16 14:46:09 [INFO] [TRAIN] epoch=10, iter=3570/80000, loss=0.3878, lr=0.009598, batch_cost=0.8660, reader_cost=0.0003 | ETA 18:23:10 2020-12-16 14:46:17 [INFO] [TRAIN] epoch=10, iter=3580/80000, loss=0.4505, lr=0.009596, batch_cost=0.7684, reader_cost=0.0001 | ETA 16:18:40 2020-12-16 14:46:24 [INFO] [TRAIN] epoch=10, iter=3590/80000, loss=0.3391, lr=0.009595, batch_cost=0.7863, reader_cost=0.0011 | ETA 16:41:17 2020-12-16 14:46:33 [INFO] [TRAIN] epoch=10, iter=3600/80000, loss=0.3251, lr=0.009594, batch_cost=0.8370, reader_cost=0.0025 | ETA 17:45:47 2020-12-16 14:46:41 [INFO] [TRAIN] epoch=10, iter=3610/80000, loss=0.2671, lr=0.009593, batch_cost=0.8593, reader_cost=0.0002 | ETA 18:14:02 2020-12-16 14:46:50 [INFO] [TRAIN] epoch=10, iter=3620/80000, loss=0.2409, lr=0.009592, batch_cost=0.8189, reader_cost=0.0003 | ETA 17:22:26 2020-12-16 14:46:58 [INFO] [TRAIN] epoch=10, iter=3630/80000, loss=0.4163, lr=0.009591, batch_cost=0.8831, reader_cost=0.0002 | ETA 18:44:05 2020-12-16 14:47:07 [INFO] [TRAIN] epoch=10, iter=3640/80000, loss=0.3427, lr=0.009590, batch_cost=0.8277, reader_cost=0.0021 | ETA 17:33:19 2020-12-16 14:47:14 [INFO] [TRAIN] epoch=10, iter=3650/80000, loss=0.3432, lr=0.009589, batch_cost=0.7644, reader_cost=0.0012 | ETA 16:12:44 2020-12-16 14:47:24 [INFO] [TRAIN] epoch=10, iter=3660/80000, loss=0.5166, lr=0.009587, batch_cost=0.9281, reader_cost=0.0013 | ETA 19:40:52 2020-12-16 14:47:32 [INFO] [TRAIN] epoch=10, iter=3670/80000, loss=0.2470, lr=0.009586, batch_cost=0.8138, reader_cost=0.0025 | ETA 17:15:19 2020-12-16 14:47:40 [INFO] [TRAIN] epoch=10, iter=3680/80000, loss=0.3633, lr=0.009585, batch_cost=0.8631, reader_cost=0.0015 | ETA 18:17:49 2020-12-16 14:47:48 [INFO] [TRAIN] epoch=10, iter=3690/80000, loss=0.3687, lr=0.009584, batch_cost=0.7959, reader_cost=0.0056 | ETA 16:52:12 2020-12-16 14:47:58 [INFO] [TRAIN] epoch=10, iter=3700/80000, loss=0.2962, lr=0.009583, batch_cost=0.9506, reader_cost=0.0094 | ETA 20:08:48 2020-12-16 14:48:06 [INFO] [TRAIN] epoch=10, iter=3710/80000, loss=0.4151, lr=0.009582, batch_cost=0.8071, reader_cost=0.0015 | ETA 17:06:13 2020-12-16 14:48:13 [INFO] [TRAIN] epoch=10, iter=3720/80000, loss=0.2515, lr=0.009581, batch_cost=0.6647, reader_cost=0.0001 | ETA 14:05:03 2020-12-16 14:48:23 [INFO] [TRAIN] epoch=11, iter=3730/80000, loss=0.2899, lr=0.009579, batch_cost=1.0630, reader_cost=0.0854 | ETA 22:31:18 2020-12-16 14:48:32 [INFO] [TRAIN] epoch=11, iter=3740/80000, loss=0.2583, lr=0.009578, batch_cost=0.9063, reader_cost=0.0028 | ETA 19:11:51 2020-12-16 14:48:42 [INFO] [TRAIN] epoch=11, iter=3750/80000, loss=0.3060, lr=0.009577, batch_cost=0.9432, reader_cost=0.0032 | ETA 19:58:39 2020-12-16 14:48:50 [INFO] [TRAIN] epoch=11, iter=3760/80000, loss=0.4725, lr=0.009576, batch_cost=0.7962, reader_cost=0.0013 | ETA 16:51:43 2020-12-16 14:48:55 [INFO] [TRAIN] epoch=11, iter=3770/80000, loss=0.2794, lr=0.009575, batch_cost=0.5397, reader_cost=0.0001 | ETA 11:25:42 2020-12-16 14:49:01 [INFO] [TRAIN] epoch=11, iter=3780/80000, loss=0.3632, lr=0.009574, batch_cost=0.5931, reader_cost=0.0001 | ETA 12:33:29 2020-12-16 14:49:07 [INFO] [TRAIN] epoch=11, iter=3790/80000, loss=0.6107, lr=0.009573, batch_cost=0.5590, reader_cost=0.0001 | ETA 11:50:01 2020-12-16 14:49:12 [INFO] [TRAIN] epoch=11, iter=3800/80000, loss=0.3129, lr=0.009572, batch_cost=0.5709, reader_cost=0.0002 | ETA 12:05:01 2020-12-16 14:49:18 [INFO] [TRAIN] epoch=11, iter=3810/80000, loss=0.3127, lr=0.009570, batch_cost=0.5908, reader_cost=0.0019 | ETA 12:30:14 2020-12-16 14:49:26 [INFO] [TRAIN] epoch=11, iter=3820/80000, loss=0.3971, lr=0.009569, batch_cost=0.7791, reader_cost=0.0001 | ETA 16:29:13 2020-12-16 14:49:36 [INFO] [TRAIN] epoch=11, iter=3830/80000, loss=0.4240, lr=0.009568, batch_cost=0.9630, reader_cost=0.0028 | ETA 20:22:33 2020-12-16 14:49:46 [INFO] [TRAIN] epoch=11, iter=3840/80000, loss=0.3713, lr=0.009567, batch_cost=1.0085, reader_cost=0.0011 | ETA 21:20:04 2020-12-16 14:49:54 [INFO] [TRAIN] epoch=11, iter=3850/80000, loss=0.5040, lr=0.009566, batch_cost=0.8005, reader_cost=0.0016 | ETA 16:56:01 2020-12-16 14:50:03 [INFO] [TRAIN] epoch=11, iter=3860/80000, loss=0.3791, lr=0.009565, batch_cost=0.9222, reader_cost=0.0009 | ETA 19:30:13 2020-12-16 14:50:12 [INFO] [TRAIN] epoch=11, iter=3870/80000, loss=0.3433, lr=0.009564, batch_cost=0.8911, reader_cost=0.0026 | ETA 18:50:36 2020-12-16 14:50:20 [INFO] [TRAIN] epoch=11, iter=3880/80000, loss=0.3211, lr=0.009563, batch_cost=0.7949, reader_cost=0.0010 | ETA 16:48:30 2020-12-16 14:50:29 [INFO] [TRAIN] epoch=11, iter=3890/80000, loss=0.3447, lr=0.009561, batch_cost=0.9510, reader_cost=0.0040 | ETA 20:06:17 2020-12-16 14:50:38 [INFO] [TRAIN] epoch=11, iter=3900/80000, loss=0.2915, lr=0.009560, batch_cost=0.8505, reader_cost=0.0028 | ETA 17:58:40 2020-12-16 14:50:47 [INFO] [TRAIN] epoch=11, iter=3910/80000, loss=0.3601, lr=0.009559, batch_cost=0.8963, reader_cost=0.0053 | ETA 18:56:39 2020-12-16 14:50:56 [INFO] [TRAIN] epoch=11, iter=3920/80000, loss=0.3073, lr=0.009558, batch_cost=0.9165, reader_cost=0.0002 | ETA 19:22:05 2020-12-16 14:51:06 [INFO] [TRAIN] epoch=11, iter=3930/80000, loss=0.3013, lr=0.009557, batch_cost=0.9842, reader_cost=0.0025 | ETA 20:47:47 2020-12-16 14:51:15 [INFO] [TRAIN] epoch=11, iter=3940/80000, loss=0.3057, lr=0.009556, batch_cost=0.9276, reader_cost=0.0041 | ETA 19:35:50 2020-12-16 14:51:24 [INFO] [TRAIN] epoch=11, iter=3950/80000, loss=0.3215, lr=0.009555, batch_cost=0.8754, reader_cost=0.0002 | ETA 18:29:32 2020-12-16 14:51:33 [INFO] [TRAIN] epoch=11, iter=3960/80000, loss=0.3838, lr=0.009553, batch_cost=0.8880, reader_cost=0.0006 | ETA 18:45:21 2020-12-16 14:51:43 [INFO] [TRAIN] epoch=11, iter=3970/80000, loss=0.2110, lr=0.009552, batch_cost=0.9867, reader_cost=0.0003 | ETA 20:50:19 2020-12-16 14:51:52 [INFO] [TRAIN] epoch=11, iter=3980/80000, loss=0.5058, lr=0.009551, batch_cost=0.8999, reader_cost=0.0094 | ETA 19:00:09 2020-12-16 14:52:00 [INFO] [TRAIN] epoch=11, iter=3990/80000, loss=0.2073, lr=0.009550, batch_cost=0.8401, reader_cost=0.0023 | ETA 17:44:15 2020-12-16 14:52:09 [INFO] [TRAIN] epoch=11, iter=4000/80000, loss=0.2632, lr=0.009549, batch_cost=0.9225, reader_cost=0.0011 | ETA 19:28:29 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 14:52:09 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 14:53:02 [INFO] [EVAL] #Images=500 mIoU=0.6194 Acc=0.9335 Kappa=0.9136 2020-12-16 14:53:02 [INFO] [EVAL] Class IoU: [0.9633 0.7483 0.8799 0.3042 0.4071 0.4812 0.5607 0.6721 0.8914 0.4955 0.9174 0.6556 0.3701 0.8992 0.5203 0.5273 0.3141 0.4776 0.6825] 2020-12-16 14:53:02 [INFO] [EVAL] Class Acc: [0.9817 0.8716 0.9228 0.7558 0.7638 0.7022 0.8249 0.9065 0.9274 0.6602 0.9431 0.9099 0.4685 0.9211 0.791 0.84 0.9809 0.7792 0.7437] 2020-12-16 14:53:13 [INFO] [EVAL] The model with the best validation mIoU (0.6194) was saved at iter 4000. 2020-12-16 14:53:22 [INFO] [TRAIN] epoch=11, iter=4010/80000, loss=0.4823, lr=0.009548, batch_cost=0.8745, reader_cost=0.0019 | ETA 18:27:33 2020-12-16 14:53:32 [INFO] [TRAIN] epoch=11, iter=4020/80000, loss=0.2367, lr=0.009547, batch_cost=1.0174, reader_cost=0.0023 | ETA 21:28:18 2020-12-16 14:53:41 [INFO] [TRAIN] epoch=11, iter=4030/80000, loss=0.4188, lr=0.009546, batch_cost=0.8702, reader_cost=0.0022 | ETA 18:21:48 2020-12-16 14:53:50 [INFO] [TRAIN] epoch=11, iter=4040/80000, loss=0.2648, lr=0.009544, batch_cost=0.9317, reader_cost=0.0069 | ETA 19:39:34 2020-12-16 14:54:00 [INFO] [TRAIN] epoch=11, iter=4050/80000, loss=0.3968, lr=0.009543, batch_cost=0.9808, reader_cost=0.0003 | ETA 20:41:34 2020-12-16 14:54:09 [INFO] [TRAIN] epoch=11, iter=4060/80000, loss=0.3707, lr=0.009542, batch_cost=0.9460, reader_cost=0.0001 | ETA 19:57:19 2020-12-16 14:54:19 [INFO] [TRAIN] epoch=11, iter=4070/80000, loss=0.5874, lr=0.009541, batch_cost=0.9597, reader_cost=0.0002 | ETA 20:14:31 2020-12-16 14:54:28 [INFO] [TRAIN] epoch=11, iter=4080/80000, loss=0.3621, lr=0.009540, batch_cost=0.9287, reader_cost=0.0001 | ETA 19:35:08 2020-12-16 14:54:38 [INFO] [TRAIN] epoch=11, iter=4090/80000, loss=0.4017, lr=0.009539, batch_cost=0.9450, reader_cost=0.0010 | ETA 19:55:37 2020-12-16 14:54:48 [INFO] [TRAIN] epoch=12, iter=4100/80000, loss=0.3471, lr=0.009538, batch_cost=1.0187, reader_cost=0.1947 | ETA 21:28:42 2020-12-16 14:54:58 [INFO] [TRAIN] epoch=12, iter=4110/80000, loss=0.3172, lr=0.009537, batch_cost=1.0030, reader_cost=0.0018 | ETA 21:08:34 2020-12-16 14:55:08 [INFO] [TRAIN] epoch=12, iter=4120/80000, loss=0.3821, lr=0.009535, batch_cost=1.0148, reader_cost=0.0009 | ETA 21:23:23 2020-12-16 14:55:18 [INFO] [TRAIN] epoch=12, iter=4130/80000, loss=0.4411, lr=0.009534, batch_cost=0.9636, reader_cost=0.0001 | ETA 20:18:25 2020-12-16 14:55:25 [INFO] [TRAIN] epoch=12, iter=4140/80000, loss=0.3684, lr=0.009533, batch_cost=0.7513, reader_cost=0.0001 | ETA 15:49:52 2020-12-16 14:55:31 [INFO] [TRAIN] epoch=12, iter=4150/80000, loss=0.3199, lr=0.009532, batch_cost=0.6088, reader_cost=0.0005 | ETA 12:49:39 2020-12-16 14:55:37 [INFO] [TRAIN] epoch=12, iter=4160/80000, loss=0.3445, lr=0.009531, batch_cost=0.5607, reader_cost=0.0001 | ETA 11:48:43 2020-12-16 14:55:43 [INFO] [TRAIN] epoch=12, iter=4170/80000, loss=0.2688, lr=0.009530, batch_cost=0.5743, reader_cost=0.0006 | ETA 12:05:48 2020-12-16 14:55:49 [INFO] [TRAIN] epoch=12, iter=4180/80000, loss=0.3325, lr=0.009529, batch_cost=0.6422, reader_cost=0.0002 | ETA 13:31:32 2020-12-16 14:55:57 [INFO] [TRAIN] epoch=12, iter=4190/80000, loss=0.3357, lr=0.009527, batch_cost=0.7475, reader_cost=0.0002 | ETA 15:44:30 2020-12-16 14:56:07 [INFO] [TRAIN] epoch=12, iter=4200/80000, loss=0.4149, lr=0.009526, batch_cost=1.0755, reader_cost=0.0006 | ETA 22:38:43 2020-12-16 14:56:16 [INFO] [TRAIN] epoch=12, iter=4210/80000, loss=0.3780, lr=0.009525, batch_cost=0.9014, reader_cost=0.0014 | ETA 18:58:35 2020-12-16 14:56:27 [INFO] [TRAIN] epoch=12, iter=4220/80000, loss=0.2769, lr=0.009524, batch_cost=1.0126, reader_cost=0.0038 | ETA 21:18:52 2020-12-16 14:56:36 [INFO] [TRAIN] epoch=12, iter=4230/80000, loss=0.3520, lr=0.009523, batch_cost=0.9634, reader_cost=0.0002 | ETA 20:16:37 2020-12-16 14:56:46 [INFO] [TRAIN] epoch=12, iter=4240/80000, loss=0.2726, lr=0.009522, batch_cost=0.9616, reader_cost=0.0002 | ETA 20:14:09 2020-12-16 14:56:55 [INFO] [TRAIN] epoch=12, iter=4250/80000, loss=0.3139, lr=0.009521, batch_cost=0.9552, reader_cost=0.0037 | ETA 20:05:53 2020-12-16 14:57:04 [INFO] [TRAIN] epoch=12, iter=4260/80000, loss=0.3706, lr=0.009520, batch_cost=0.8736, reader_cost=0.0026 | ETA 18:22:45 2020-12-16 14:57:14 [INFO] [TRAIN] epoch=12, iter=4270/80000, loss=0.3036, lr=0.009518, batch_cost=0.9536, reader_cost=0.0003 | ETA 20:03:35 2020-12-16 14:57:24 [INFO] [TRAIN] epoch=12, iter=4280/80000, loss=0.2158, lr=0.009517, batch_cost=1.0173, reader_cost=0.0029 | ETA 21:23:48 2020-12-16 14:57:35 [INFO] [TRAIN] epoch=12, iter=4290/80000, loss=0.2628, lr=0.009516, batch_cost=1.1246, reader_cost=0.0032 | ETA 23:39:02 2020-12-16 14:57:44 [INFO] [TRAIN] epoch=12, iter=4300/80000, loss=0.3171, lr=0.009515, batch_cost=0.8950, reader_cost=0.0086 | ETA 18:49:10 2020-12-16 14:57:54 [INFO] [TRAIN] epoch=12, iter=4310/80000, loss=0.3009, lr=0.009514, batch_cost=0.9849, reader_cost=0.0034 | ETA 20:42:25 2020-12-16 14:58:04 [INFO] [TRAIN] epoch=12, iter=4320/80000, loss=0.2650, lr=0.009513, batch_cost=0.9837, reader_cost=0.0007 | ETA 20:40:48 2020-12-16 14:58:14 [INFO] [TRAIN] epoch=12, iter=4330/80000, loss=0.3190, lr=0.009512, batch_cost=1.0010, reader_cost=0.0030 | ETA 21:02:22 2020-12-16 14:58:24 [INFO] [TRAIN] epoch=12, iter=4340/80000, loss=0.3239, lr=0.009511, batch_cost=0.9956, reader_cost=0.0043 | ETA 20:55:29 2020-12-16 14:58:35 [INFO] [TRAIN] epoch=12, iter=4350/80000, loss=0.2734, lr=0.009509, batch_cost=1.0879, reader_cost=0.0028 | ETA 22:51:37 2020-12-16 14:58:44 [INFO] [TRAIN] epoch=12, iter=4360/80000, loss=0.2176, lr=0.009508, batch_cost=0.9148, reader_cost=0.0068 | ETA 19:13:13 2020-12-16 14:58:54 [INFO] [TRAIN] epoch=12, iter=4370/80000, loss=0.3176, lr=0.009507, batch_cost=1.0207, reader_cost=0.0011 | ETA 21:26:39 2020-12-16 14:59:04 [INFO] [TRAIN] epoch=12, iter=4380/80000, loss=0.3715, lr=0.009506, batch_cost=0.9960, reader_cost=0.0062 | ETA 20:55:14 2020-12-16 14:59:14 [INFO] [TRAIN] epoch=12, iter=4390/80000, loss=0.3354, lr=0.009505, batch_cost=1.0117, reader_cost=0.0006 | ETA 21:14:51 2020-12-16 14:59:24 [INFO] [TRAIN] epoch=12, iter=4400/80000, loss=0.3832, lr=0.009504, batch_cost=1.0189, reader_cost=0.0033 | ETA 21:23:45 2020-12-16 14:59:34 [INFO] [TRAIN] epoch=12, iter=4410/80000, loss=0.2208, lr=0.009503, batch_cost=1.0017, reader_cost=0.0011 | ETA 21:02:01 2020-12-16 14:59:46 [INFO] [TRAIN] epoch=12, iter=4420/80000, loss=0.4739, lr=0.009501, batch_cost=1.1552, reader_cost=0.0025 | ETA 24:15:06 2020-12-16 14:59:55 [INFO] [TRAIN] epoch=12, iter=4430/80000, loss=0.3725, lr=0.009500, batch_cost=0.9364, reader_cost=0.0019 | ETA 19:39:22 2020-12-16 15:00:06 [INFO] [TRAIN] epoch=12, iter=4440/80000, loss=0.2892, lr=0.009499, batch_cost=1.0367, reader_cost=0.0057 | ETA 21:45:30 2020-12-16 15:00:18 [INFO] [TRAIN] epoch=12, iter=4450/80000, loss=0.4877, lr=0.009498, batch_cost=1.1898, reader_cost=0.0014 | ETA 24:58:11 2020-12-16 15:00:27 [INFO] [TRAIN] epoch=12, iter=4460/80000, loss=0.3620, lr=0.009497, batch_cost=0.9732, reader_cost=0.0009 | ETA 20:25:18 2020-12-16 15:00:38 [INFO] [TRAIN] epoch=13, iter=4470/80000, loss=0.2869, lr=0.009496, batch_cost=1.0350, reader_cost=0.1220 | ETA 21:42:51 2020-12-16 15:00:49 [INFO] [TRAIN] epoch=13, iter=4480/80000, loss=0.5315, lr=0.009495, batch_cost=1.1366, reader_cost=0.0002 | ETA 23:50:34 2020-12-16 15:01:00 [INFO] [TRAIN] epoch=13, iter=4490/80000, loss=0.4050, lr=0.009494, batch_cost=1.0790, reader_cost=0.0021 | ETA 22:37:54 2020-12-16 15:01:10 [INFO] [TRAIN] epoch=13, iter=4500/80000, loss=0.3684, lr=0.009492, batch_cost=0.9836, reader_cost=0.0006 | ETA 20:37:41 2020-12-16 15:01:20 [INFO] [TRAIN] epoch=13, iter=4510/80000, loss=0.3826, lr=0.009491, batch_cost=0.9933, reader_cost=0.0002 | ETA 20:49:43 2020-12-16 15:01:29 [INFO] [TRAIN] epoch=13, iter=4520/80000, loss=0.3349, lr=0.009490, batch_cost=0.9467, reader_cost=0.0002 | ETA 19:50:59 2020-12-16 15:01:39 [INFO] [TRAIN] epoch=13, iter=4530/80000, loss=0.3088, lr=0.009489, batch_cost=1.0428, reader_cost=0.0037 | ETA 21:51:39 2020-12-16 15:01:50 [INFO] [TRAIN] epoch=13, iter=4540/80000, loss=0.3910, lr=0.009488, batch_cost=1.0244, reader_cost=0.0003 | ETA 21:28:19 2020-12-16 15:02:00 [INFO] [TRAIN] epoch=13, iter=4550/80000, loss=0.3823, lr=0.009487, batch_cost=1.0689, reader_cost=0.0053 | ETA 22:24:12 2020-12-16 15:02:11 [INFO] [TRAIN] epoch=13, iter=4560/80000, loss=0.3218, lr=0.009486, batch_cost=1.0334, reader_cost=0.0031 | ETA 21:39:16 2020-12-16 15:02:21 [INFO] [TRAIN] epoch=13, iter=4570/80000, loss=0.3386, lr=0.009484, batch_cost=1.0730, reader_cost=0.0022 | ETA 22:28:53 2020-12-16 15:02:32 [INFO] [TRAIN] epoch=13, iter=4580/80000, loss=0.5774, lr=0.009483, batch_cost=1.0570, reader_cost=0.0002 | ETA 22:08:40 2020-12-16 15:02:42 [INFO] [TRAIN] epoch=13, iter=4590/80000, loss=0.3068, lr=0.009482, batch_cost=1.0159, reader_cost=0.0001 | ETA 21:16:50 2020-12-16 15:02:50 [INFO] [TRAIN] epoch=13, iter=4600/80000, loss=0.3872, lr=0.009481, batch_cost=0.7687, reader_cost=0.0037 | ETA 16:06:00 2020-12-16 15:02:55 [INFO] [TRAIN] epoch=13, iter=4610/80000, loss=0.2615, lr=0.009480, batch_cost=0.5428, reader_cost=0.0001 | ETA 11:22:02 2020-12-16 15:03:01 [INFO] [TRAIN] epoch=13, iter=4620/80000, loss=0.2796, lr=0.009479, batch_cost=0.5953, reader_cost=0.0001 | ETA 12:27:53 2020-12-16 15:03:07 [INFO] [TRAIN] epoch=13, iter=4630/80000, loss=0.3054, lr=0.009478, batch_cost=0.5569, reader_cost=0.0003 | ETA 11:39:33 2020-12-16 15:03:13 [INFO] [TRAIN] epoch=13, iter=4640/80000, loss=0.3224, lr=0.009477, batch_cost=0.5896, reader_cost=0.0001 | ETA 12:20:34 2020-12-16 15:03:19 [INFO] [TRAIN] epoch=13, iter=4650/80000, loss=0.2807, lr=0.009475, batch_cost=0.5990, reader_cost=0.0003 | ETA 12:32:17 2020-12-16 15:03:27 [INFO] [TRAIN] epoch=13, iter=4660/80000, loss=0.2433, lr=0.009474, batch_cost=0.8450, reader_cost=0.0001 | ETA 17:41:02 2020-12-16 15:03:35 [INFO] [TRAIN] epoch=13, iter=4670/80000, loss=0.5148, lr=0.009473, batch_cost=0.7854, reader_cost=0.0001 | ETA 16:26:05 2020-12-16 15:03:43 [INFO] [TRAIN] epoch=13, iter=4680/80000, loss=0.2768, lr=0.009472, batch_cost=0.7569, reader_cost=0.0001 | ETA 15:50:06 2020-12-16 15:03:52 [INFO] [TRAIN] epoch=13, iter=4690/80000, loss=0.4519, lr=0.009471, batch_cost=0.9274, reader_cost=0.0025 | ETA 19:24:02 2020-12-16 15:04:00 [INFO] [TRAIN] epoch=13, iter=4700/80000, loss=0.2459, lr=0.009470, batch_cost=0.8599, reader_cost=0.0006 | ETA 17:59:09 2020-12-16 15:04:10 [INFO] [TRAIN] epoch=13, iter=4710/80000, loss=0.3029, lr=0.009469, batch_cost=0.9313, reader_cost=0.0014 | ETA 19:28:36 2020-12-16 15:04:18 [INFO] [TRAIN] epoch=13, iter=4720/80000, loss=0.3597, lr=0.009468, batch_cost=0.7832, reader_cost=0.0042 | ETA 16:22:39 2020-12-16 15:04:27 [INFO] [TRAIN] epoch=13, iter=4730/80000, loss=0.2601, lr=0.009466, batch_cost=0.8958, reader_cost=0.0001 | ETA 18:43:45 2020-12-16 15:04:34 [INFO] [TRAIN] epoch=13, iter=4740/80000, loss=0.4409, lr=0.009465, batch_cost=0.7499, reader_cost=0.0001 | ETA 15:40:36 2020-12-16 15:04:42 [INFO] [TRAIN] epoch=13, iter=4750/80000, loss=0.2963, lr=0.009464, batch_cost=0.7527, reader_cost=0.0001 | ETA 15:43:59 2020-12-16 15:04:50 [INFO] [TRAIN] epoch=13, iter=4760/80000, loss=0.3749, lr=0.009463, batch_cost=0.8194, reader_cost=0.0001 | ETA 17:07:28 2020-12-16 15:04:58 [INFO] [TRAIN] epoch=13, iter=4770/80000, loss=0.3159, lr=0.009462, batch_cost=0.8190, reader_cost=0.0006 | ETA 17:06:51 2020-12-16 15:05:06 [INFO] [TRAIN] epoch=13, iter=4780/80000, loss=0.2681, lr=0.009461, batch_cost=0.7674, reader_cost=0.0006 | ETA 16:02:02 2020-12-16 15:05:14 [INFO] [TRAIN] epoch=13, iter=4790/80000, loss=0.2984, lr=0.009460, batch_cost=0.8532, reader_cost=0.0012 | ETA 17:49:26 2020-12-16 15:05:23 [INFO] [TRAIN] epoch=13, iter=4800/80000, loss=0.4247, lr=0.009458, batch_cost=0.8798, reader_cost=0.0001 | ETA 18:22:40 2020-12-16 15:05:31 [INFO] [TRAIN] epoch=13, iter=4810/80000, loss=0.3673, lr=0.009457, batch_cost=0.8497, reader_cost=0.0021 | ETA 17:44:50 2020-12-16 15:05:38 [INFO] [TRAIN] epoch=13, iter=4820/80000, loss=0.4320, lr=0.009456, batch_cost=0.6868, reader_cost=0.0015 | ETA 14:20:36 2020-12-16 15:05:46 [INFO] [TRAIN] epoch=13, iter=4830/80000, loss=0.2688, lr=0.009455, batch_cost=0.7662, reader_cost=0.0027 | ETA 15:59:51 2020-12-16 15:05:55 [INFO] [TRAIN] epoch=14, iter=4840/80000, loss=0.2385, lr=0.009454, batch_cost=0.8760, reader_cost=0.0769 | ETA 18:17:16 2020-12-16 15:06:04 [INFO] [TRAIN] epoch=14, iter=4850/80000, loss=0.3313, lr=0.009453, batch_cost=0.9306, reader_cost=0.0005 | ETA 19:25:34 2020-12-16 15:06:13 [INFO] [TRAIN] epoch=14, iter=4860/80000, loss=0.2137, lr=0.009452, batch_cost=0.9155, reader_cost=0.0005 | ETA 19:06:32 2020-12-16 15:06:23 [INFO] [TRAIN] epoch=14, iter=4870/80000, loss=0.3201, lr=0.009451, batch_cost=0.9397, reader_cost=0.0019 | ETA 19:36:42 2020-12-16 15:06:31 [INFO] [TRAIN] epoch=14, iter=4880/80000, loss=0.3328, lr=0.009449, batch_cost=0.8749, reader_cost=0.0009 | ETA 18:15:24 2020-12-16 15:06:41 [INFO] [TRAIN] epoch=14, iter=4890/80000, loss=0.3415, lr=0.009448, batch_cost=0.9343, reader_cost=0.0031 | ETA 19:29:36 2020-12-16 15:06:50 [INFO] [TRAIN] epoch=14, iter=4900/80000, loss=0.2648, lr=0.009447, batch_cost=0.9497, reader_cost=0.0035 | ETA 19:48:41 2020-12-16 15:06:59 [INFO] [TRAIN] epoch=14, iter=4910/80000, loss=0.2666, lr=0.009446, batch_cost=0.8430, reader_cost=0.0001 | ETA 17:35:01 2020-12-16 15:07:08 [INFO] [TRAIN] epoch=14, iter=4920/80000, loss=0.3444, lr=0.009445, batch_cost=0.9734, reader_cost=0.0082 | ETA 20:18:01 2020-12-16 15:07:17 [INFO] [TRAIN] epoch=14, iter=4930/80000, loss=0.3267, lr=0.009444, batch_cost=0.8369, reader_cost=0.0003 | ETA 17:27:09 2020-12-16 15:07:25 [INFO] [TRAIN] epoch=14, iter=4940/80000, loss=0.3411, lr=0.009443, batch_cost=0.8698, reader_cost=0.0011 | ETA 18:08:10 2020-12-16 15:07:35 [INFO] [TRAIN] epoch=14, iter=4950/80000, loss=0.2938, lr=0.009441, batch_cost=0.9153, reader_cost=0.0021 | ETA 19:04:55 2020-12-16 15:07:43 [INFO] [TRAIN] epoch=14, iter=4960/80000, loss=0.7173, lr=0.009440, batch_cost=0.8315, reader_cost=0.0037 | ETA 17:19:54 2020-12-16 15:07:51 [INFO] [TRAIN] epoch=14, iter=4970/80000, loss=0.2366, lr=0.009439, batch_cost=0.7904, reader_cost=0.0001 | ETA 16:28:22 2020-12-16 15:07:59 [INFO] [TRAIN] epoch=14, iter=4980/80000, loss=0.3218, lr=0.009438, batch_cost=0.8455, reader_cost=0.0001 | ETA 17:37:12 2020-12-16 15:08:07 [INFO] [TRAIN] epoch=14, iter=4990/80000, loss=0.3408, lr=0.009437, batch_cost=0.7225, reader_cost=0.0001 | ETA 15:03:16 2020-12-16 15:08:12 [INFO] [TRAIN] epoch=14, iter=5000/80000, loss=0.4028, lr=0.009436, batch_cost=0.5452, reader_cost=0.0001 | ETA 11:21:32 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 15:08:12 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 15:08:58 [INFO] [EVAL] #Images=500 mIoU=0.6235 Acc=0.9388 Kappa=0.9203 2020-12-16 15:08:58 [INFO] [EVAL] Class IoU: [0.9667 0.7642 0.8879 0.2729 0.4969 0.4787 0.6049 0.694 0.9001 0.4887 0.9195 0.7543 0.5169 0.9151 0.4336 0.5237 0.012 0.5007 0.7163] 2020-12-16 15:08:58 [INFO] [EVAL] Class Acc: [0.9776 0.8787 0.9174 0.6885 0.7949 0.756 0.7677 0.8775 0.9508 0.8848 0.952 0.8517 0.6818 0.9514 0.7203 0.5765 0.5744 0.7728 0.8079] 2020-12-16 15:09:11 [INFO] [EVAL] The model with the best validation mIoU (0.6235) was saved at iter 5000. 2020-12-16 15:09:20 [INFO] [TRAIN] epoch=14, iter=5010/80000, loss=0.3821, lr=0.009435, batch_cost=0.9156, reader_cost=0.0042 | ETA 19:04:23 2020-12-16 15:09:29 [INFO] [TRAIN] epoch=14, iter=5020/80000, loss=0.3195, lr=0.009434, batch_cost=0.9038, reader_cost=0.0035 | ETA 18:49:26 2020-12-16 15:09:39 [INFO] [TRAIN] epoch=14, iter=5030/80000, loss=0.3520, lr=0.009432, batch_cost=0.9201, reader_cost=0.0010 | ETA 19:09:41 2020-12-16 15:09:49 [INFO] [TRAIN] epoch=14, iter=5040/80000, loss=0.2962, lr=0.009431, batch_cost=1.0003, reader_cost=0.0002 | ETA 20:49:44 2020-12-16 15:09:58 [INFO] [TRAIN] epoch=14, iter=5050/80000, loss=0.3130, lr=0.009430, batch_cost=0.8989, reader_cost=0.0017 | ETA 18:42:55 2020-12-16 15:10:07 [INFO] [TRAIN] epoch=14, iter=5060/80000, loss=0.3583, lr=0.009429, batch_cost=0.9447, reader_cost=0.0003 | ETA 19:39:56 2020-12-16 15:10:17 [INFO] [TRAIN] epoch=14, iter=5070/80000, loss=0.2136, lr=0.009428, batch_cost=0.9651, reader_cost=0.0003 | ETA 20:05:13 2020-12-16 15:10:26 [INFO] [TRAIN] epoch=14, iter=5080/80000, loss=0.3174, lr=0.009427, batch_cost=0.9082, reader_cost=0.0025 | ETA 18:54:03 2020-12-16 15:10:36 [INFO] [TRAIN] epoch=14, iter=5090/80000, loss=0.3880, lr=0.009426, batch_cost=1.0230, reader_cost=0.0019 | ETA 21:17:13 2020-12-16 15:10:46 [INFO] [TRAIN] epoch=14, iter=5100/80000, loss=0.2916, lr=0.009424, batch_cost=1.0078, reader_cost=0.0002 | ETA 20:58:01 2020-12-16 15:10:56 [INFO] [TRAIN] epoch=14, iter=5110/80000, loss=0.2917, lr=0.009423, batch_cost=0.9361, reader_cost=0.0053 | ETA 19:28:26 2020-12-16 15:11:05 [INFO] [TRAIN] epoch=14, iter=5120/80000, loss=0.2829, lr=0.009422, batch_cost=0.9884, reader_cost=0.0005 | ETA 20:33:31 2020-12-16 15:11:15 [INFO] [TRAIN] epoch=14, iter=5130/80000, loss=0.4019, lr=0.009421, batch_cost=0.9267, reader_cost=0.0088 | ETA 19:16:25 2020-12-16 15:11:25 [INFO] [TRAIN] epoch=14, iter=5140/80000, loss=0.2857, lr=0.009420, batch_cost=1.0152, reader_cost=0.0021 | ETA 21:06:35 2020-12-16 15:11:34 [INFO] [TRAIN] epoch=14, iter=5150/80000, loss=0.5320, lr=0.009419, batch_cost=0.8746, reader_cost=0.0002 | ETA 18:11:06 2020-12-16 15:11:44 [INFO] [TRAIN] epoch=14, iter=5160/80000, loss=0.4071, lr=0.009418, batch_cost=1.0766, reader_cost=0.0015 | ETA 22:22:53 2020-12-16 15:11:55 [INFO] [TRAIN] epoch=14, iter=5170/80000, loss=0.2935, lr=0.009417, batch_cost=1.0313, reader_cost=0.0149 | ETA 21:26:15 2020-12-16 15:12:04 [INFO] [TRAIN] epoch=14, iter=5180/80000, loss=0.3419, lr=0.009415, batch_cost=0.9662, reader_cost=0.0024 | ETA 20:04:47 2020-12-16 15:12:14 [INFO] [TRAIN] epoch=14, iter=5190/80000, loss=0.4861, lr=0.009414, batch_cost=0.9629, reader_cost=0.0002 | ETA 20:00:31 2020-12-16 15:12:24 [INFO] [TRAIN] epoch=14, iter=5200/80000, loss=0.2439, lr=0.009413, batch_cost=0.9872, reader_cost=0.0002 | ETA 20:30:39 2020-12-16 15:12:32 [INFO] [TRAIN] epoch=15, iter=5210/80000, loss=0.2793, lr=0.009412, batch_cost=0.8438, reader_cost=0.0749 | ETA 17:31:44 2020-12-16 15:12:43 [INFO] [TRAIN] epoch=15, iter=5220/80000, loss=0.3016, lr=0.009411, batch_cost=1.0430, reader_cost=0.0005 | ETA 21:39:58 2020-12-16 15:12:52 [INFO] [TRAIN] epoch=15, iter=5230/80000, loss=0.2998, lr=0.009410, batch_cost=0.9459, reader_cost=0.0002 | ETA 19:38:42 2020-12-16 15:12:59 [INFO] [TRAIN] epoch=15, iter=5240/80000, loss=0.3733, lr=0.009409, batch_cost=0.6362, reader_cost=0.0004 | ETA 13:12:44 2020-12-16 15:13:04 [INFO] [TRAIN] epoch=15, iter=5250/80000, loss=0.2344, lr=0.009408, batch_cost=0.5508, reader_cost=0.0002 | ETA 11:26:11 2020-12-16 15:13:09 [INFO] [TRAIN] epoch=15, iter=5260/80000, loss=0.1812, lr=0.009406, batch_cost=0.5347, reader_cost=0.0001 | ETA 11:06:01 2020-12-16 15:13:15 [INFO] [TRAIN] epoch=15, iter=5270/80000, loss=0.3680, lr=0.009405, batch_cost=0.5441, reader_cost=0.0008 | ETA 11:17:41 2020-12-16 15:13:20 [INFO] [TRAIN] epoch=15, iter=5280/80000, loss=0.2937, lr=0.009404, batch_cost=0.5484, reader_cost=0.0002 | ETA 11:22:53 2020-12-16 15:13:26 [INFO] [TRAIN] epoch=15, iter=5290/80000, loss=0.2699, lr=0.009403, batch_cost=0.5490, reader_cost=0.0017 | ETA 11:23:36 2020-12-16 15:13:33 [INFO] [TRAIN] epoch=15, iter=5300/80000, loss=0.2984, lr=0.009402, batch_cost=0.6766, reader_cost=0.0002 | ETA 14:02:18 2020-12-16 15:13:44 [INFO] [TRAIN] epoch=15, iter=5310/80000, loss=0.5487, lr=0.009401, batch_cost=1.1166, reader_cost=0.0003 | ETA 23:09:58 2020-12-16 15:13:54 [INFO] [TRAIN] epoch=15, iter=5320/80000, loss=0.3409, lr=0.009400, batch_cost=0.9971, reader_cost=0.0015 | ETA 20:41:00 2020-12-16 15:14:04 [INFO] [TRAIN] epoch=15, iter=5330/80000, loss=0.2710, lr=0.009398, batch_cost=1.0419, reader_cost=0.0003 | ETA 21:36:38 2020-12-16 15:14:14 [INFO] [TRAIN] epoch=15, iter=5340/80000, loss=0.2165, lr=0.009397, batch_cost=1.0025, reader_cost=0.0001 | ETA 20:47:25 2020-12-16 15:14:24 [INFO] [TRAIN] epoch=15, iter=5350/80000, loss=0.2002, lr=0.009396, batch_cost=0.9980, reader_cost=0.0013 | ETA 20:41:40 2020-12-16 15:14:34 [INFO] [TRAIN] epoch=15, iter=5360/80000, loss=0.3339, lr=0.009395, batch_cost=1.0112, reader_cost=0.0014 | ETA 20:57:57 2020-12-16 15:14:44 [INFO] [TRAIN] epoch=15, iter=5370/80000, loss=0.2258, lr=0.009394, batch_cost=0.9801, reader_cost=0.0025 | ETA 20:19:04 2020-12-16 15:14:55 [INFO] [TRAIN] epoch=15, iter=5380/80000, loss=0.2588, lr=0.009393, batch_cost=1.0604, reader_cost=0.0015 | ETA 21:58:46 2020-12-16 15:15:05 [INFO] [TRAIN] epoch=15, iter=5390/80000, loss=0.2759, lr=0.009392, batch_cost=1.0175, reader_cost=0.0044 | ETA 21:05:17 2020-12-16 15:15:15 [INFO] [TRAIN] epoch=15, iter=5400/80000, loss=0.2714, lr=0.009391, batch_cost=1.0100, reader_cost=0.0034 | ETA 20:55:45 2020-12-16 15:15:25 [INFO] [TRAIN] epoch=15, iter=5410/80000, loss=0.2565, lr=0.009389, batch_cost=1.0163, reader_cost=0.0031 | ETA 21:03:22 2020-12-16 15:15:35 [INFO] [TRAIN] epoch=15, iter=5420/80000, loss=0.3282, lr=0.009388, batch_cost=1.0299, reader_cost=0.0008 | ETA 21:20:11 2020-12-16 15:15:46 [INFO] [TRAIN] epoch=15, iter=5430/80000, loss=0.3171, lr=0.009387, batch_cost=1.0145, reader_cost=0.0039 | ETA 21:00:48 2020-12-16 15:15:56 [INFO] [TRAIN] epoch=15, iter=5440/80000, loss=0.4157, lr=0.009386, batch_cost=0.9876, reader_cost=0.0002 | ETA 20:27:14 2020-12-16 15:16:05 [INFO] [TRAIN] epoch=15, iter=5450/80000, loss=0.3353, lr=0.009385, batch_cost=0.9694, reader_cost=0.0035 | ETA 20:04:31 2020-12-16 15:16:12 [INFO] [TRAIN] epoch=15, iter=5460/80000, loss=0.5161, lr=0.009384, batch_cost=0.7115, reader_cost=0.0002 | ETA 14:43:56 2020-12-16 15:16:18 [INFO] [TRAIN] epoch=15, iter=5470/80000, loss=0.3718, lr=0.009383, batch_cost=0.5519, reader_cost=0.0002 | ETA 11:25:30 2020-12-16 15:16:24 [INFO] [TRAIN] epoch=15, iter=5480/80000, loss=0.3394, lr=0.009381, batch_cost=0.5936, reader_cost=0.0001 | ETA 12:17:18 2020-12-16 15:16:29 [INFO] [TRAIN] epoch=15, iter=5490/80000, loss=0.2217, lr=0.009380, batch_cost=0.5566, reader_cost=0.0001 | ETA 11:31:14 2020-12-16 15:16:35 [INFO] [TRAIN] epoch=15, iter=5500/80000, loss=0.3993, lr=0.009379, batch_cost=0.6131, reader_cost=0.0003 | ETA 12:41:16 2020-12-16 15:16:42 [INFO] [TRAIN] epoch=15, iter=5510/80000, loss=0.3850, lr=0.009378, batch_cost=0.6392, reader_cost=0.0005 | ETA 13:13:34 2020-12-16 15:16:51 [INFO] [TRAIN] epoch=15, iter=5520/80000, loss=0.2924, lr=0.009377, batch_cost=0.9060, reader_cost=0.0021 | ETA 18:44:38 2020-12-16 15:17:01 [INFO] [TRAIN] epoch=15, iter=5530/80000, loss=0.4141, lr=0.009376, batch_cost=0.9817, reader_cost=0.0049 | ETA 20:18:26 2020-12-16 15:17:10 [INFO] [TRAIN] epoch=15, iter=5540/80000, loss=0.3394, lr=0.009375, batch_cost=0.9498, reader_cost=0.0028 | ETA 19:38:38 2020-12-16 15:17:19 [INFO] [TRAIN] epoch=15, iter=5550/80000, loss=0.2736, lr=0.009374, batch_cost=0.8991, reader_cost=0.0002 | ETA 18:35:40 2020-12-16 15:17:29 [INFO] [TRAIN] epoch=15, iter=5560/80000, loss=0.3679, lr=0.009372, batch_cost=0.9532, reader_cost=0.0002 | ETA 19:42:37 2020-12-16 15:17:39 [INFO] [TRAIN] epoch=15, iter=5570/80000, loss=0.2088, lr=0.009371, batch_cost=0.9769, reader_cost=0.0028 | ETA 20:11:48 2020-12-16 15:17:47 [INFO] [TRAIN] epoch=15, iter=5580/80000, loss=0.3695, lr=0.009370, batch_cost=0.8132, reader_cost=0.0012 | ETA 16:48:37 2020-12-16 15:17:56 [INFO] [TRAIN] epoch=16, iter=5590/80000, loss=0.3273, lr=0.009369, batch_cost=0.9575, reader_cost=0.0805 | ETA 19:47:29 2020-12-16 15:18:06 [INFO] [TRAIN] epoch=16, iter=5600/80000, loss=0.2410, lr=0.009368, batch_cost=1.0082, reader_cost=0.0001 | ETA 20:50:13 2020-12-16 15:18:16 [INFO] [TRAIN] epoch=16, iter=5610/80000, loss=0.3187, lr=0.009367, batch_cost=0.9488, reader_cost=0.0010 | ETA 19:36:23 2020-12-16 15:18:24 [INFO] [TRAIN] epoch=16, iter=5620/80000, loss=0.2733, lr=0.009366, batch_cost=0.8488, reader_cost=0.0003 | ETA 17:32:17 2020-12-16 15:18:33 [INFO] [TRAIN] epoch=16, iter=5630/80000, loss=0.2791, lr=0.009364, batch_cost=0.8676, reader_cost=0.0012 | ETA 17:55:20 2020-12-16 15:18:43 [INFO] [TRAIN] epoch=16, iter=5640/80000, loss=0.2636, lr=0.009363, batch_cost=1.0243, reader_cost=0.0002 | ETA 21:09:23 2020-12-16 15:18:52 [INFO] [TRAIN] epoch=16, iter=5650/80000, loss=0.2362, lr=0.009362, batch_cost=0.8681, reader_cost=0.0004 | ETA 17:55:46 2020-12-16 15:19:01 [INFO] [TRAIN] epoch=16, iter=5660/80000, loss=0.3719, lr=0.009361, batch_cost=0.9463, reader_cost=0.0002 | ETA 19:32:25 2020-12-16 15:19:11 [INFO] [TRAIN] epoch=16, iter=5670/80000, loss=0.3566, lr=0.009360, batch_cost=0.9380, reader_cost=0.0051 | ETA 19:22:00 2020-12-16 15:19:21 [INFO] [TRAIN] epoch=16, iter=5680/80000, loss=0.3714, lr=0.009359, batch_cost=1.0028, reader_cost=0.0019 | ETA 20:42:05 2020-12-16 15:19:31 [INFO] [TRAIN] epoch=16, iter=5690/80000, loss=0.2825, lr=0.009358, batch_cost=1.0283, reader_cost=0.0006 | ETA 21:13:29 2020-12-16 15:19:42 [INFO] [TRAIN] epoch=16, iter=5700/80000, loss=0.2543, lr=0.009357, batch_cost=1.0514, reader_cost=0.0002 | ETA 21:42:02 2020-12-16 15:19:52 [INFO] [TRAIN] epoch=16, iter=5710/80000, loss=0.3163, lr=0.009355, batch_cost=0.9909, reader_cost=0.0116 | ETA 20:26:50 2020-12-16 15:20:01 [INFO] [TRAIN] epoch=16, iter=5720/80000, loss=0.2353, lr=0.009354, batch_cost=0.9330, reader_cost=0.0057 | ETA 19:15:02 2020-12-16 15:20:09 [INFO] [TRAIN] epoch=16, iter=5730/80000, loss=0.3643, lr=0.009353, batch_cost=0.8134, reader_cost=0.0007 | ETA 16:46:48 2020-12-16 15:20:18 [INFO] [TRAIN] epoch=16, iter=5740/80000, loss=0.2353, lr=0.009352, batch_cost=0.9394, reader_cost=0.0024 | ETA 19:22:37 2020-12-16 15:20:27 [INFO] [TRAIN] epoch=16, iter=5750/80000, loss=0.2605, lr=0.009351, batch_cost=0.8799, reader_cost=0.0009 | ETA 18:08:55 2020-12-16 15:20:37 [INFO] [TRAIN] epoch=16, iter=5760/80000, loss=0.3484, lr=0.009350, batch_cost=0.9275, reader_cost=0.0011 | ETA 19:07:36 2020-12-16 15:20:46 [INFO] [TRAIN] epoch=16, iter=5770/80000, loss=0.2943, lr=0.009349, batch_cost=0.9379, reader_cost=0.0013 | ETA 19:20:22 2020-12-16 15:20:55 [INFO] [TRAIN] epoch=16, iter=5780/80000, loss=0.2364, lr=0.009347, batch_cost=0.9533, reader_cost=0.0045 | ETA 19:39:16 2020-12-16 15:21:05 [INFO] [TRAIN] epoch=16, iter=5790/80000, loss=0.4550, lr=0.009346, batch_cost=0.9897, reader_cost=0.0017 | ETA 20:24:04 2020-12-16 15:21:14 [INFO] [TRAIN] epoch=16, iter=5800/80000, loss=0.3534, lr=0.009345, batch_cost=0.8706, reader_cost=0.0010 | ETA 17:56:35 2020-12-16 15:21:23 [INFO] [TRAIN] epoch=16, iter=5810/80000, loss=0.2235, lr=0.009344, batch_cost=0.9373, reader_cost=0.0003 | ETA 19:18:57 2020-12-16 15:21:33 [INFO] [TRAIN] epoch=16, iter=5820/80000, loss=0.3576, lr=0.009343, batch_cost=1.0019, reader_cost=0.0024 | ETA 20:38:40 2020-12-16 15:21:43 [INFO] [TRAIN] epoch=16, iter=5830/80000, loss=0.3151, lr=0.009342, batch_cost=1.0001, reader_cost=0.0029 | ETA 20:36:19 2020-12-16 15:21:53 [INFO] [TRAIN] epoch=16, iter=5840/80000, loss=0.2196, lr=0.009341, batch_cost=0.9262, reader_cost=0.0062 | ETA 19:04:48 2020-12-16 15:22:01 [INFO] [TRAIN] epoch=16, iter=5850/80000, loss=0.3099, lr=0.009340, batch_cost=0.8442, reader_cost=0.0014 | ETA 17:23:14 2020-12-16 15:22:11 [INFO] [TRAIN] epoch=16, iter=5860/80000, loss=0.2638, lr=0.009338, batch_cost=1.0148, reader_cost=0.0042 | ETA 20:53:55 2020-12-16 15:22:21 [INFO] [TRAIN] epoch=16, iter=5870/80000, loss=0.3189, lr=0.009337, batch_cost=0.9365, reader_cost=0.0066 | ETA 19:17:00 2020-12-16 15:22:31 [INFO] [TRAIN] epoch=16, iter=5880/80000, loss=0.2332, lr=0.009336, batch_cost=0.9952, reader_cost=0.0105 | ETA 20:29:21 2020-12-16 15:22:39 [INFO] [TRAIN] epoch=16, iter=5890/80000, loss=0.3296, lr=0.009335, batch_cost=0.8517, reader_cost=0.0008 | ETA 17:32:00 2020-12-16 15:22:47 [INFO] [TRAIN] epoch=16, iter=5900/80000, loss=0.2918, lr=0.009334, batch_cost=0.7968, reader_cost=0.0011 | ETA 16:24:00 2020-12-16 15:22:57 [INFO] [TRAIN] epoch=16, iter=5910/80000, loss=0.3015, lr=0.009333, batch_cost=0.9690, reader_cost=0.0023 | ETA 19:56:31 2020-12-16 15:23:06 [INFO] [TRAIN] epoch=16, iter=5920/80000, loss=0.2679, lr=0.009332, batch_cost=0.9595, reader_cost=0.0002 | ETA 19:44:38 2020-12-16 15:23:16 [INFO] [TRAIN] epoch=16, iter=5930/80000, loss=0.3292, lr=0.009330, batch_cost=0.9921, reader_cost=0.0014 | ETA 20:24:47 2020-12-16 15:23:23 [INFO] [TRAIN] epoch=16, iter=5940/80000, loss=0.3521, lr=0.009329, batch_cost=0.6707, reader_cost=0.0038 | ETA 13:47:49 2020-12-16 15:23:28 [INFO] [TRAIN] epoch=16, iter=5950/80000, loss=0.2986, lr=0.009328, batch_cost=0.5454, reader_cost=0.0006 | ETA 11:13:05 2020-12-16 15:23:35 [INFO] [TRAIN] epoch=17, iter=5960/80000, loss=0.4242, lr=0.009327, batch_cost=0.6379, reader_cost=0.1013 | ETA 13:07:09 2020-12-16 15:23:41 [INFO] [TRAIN] epoch=17, iter=5970/80000, loss=0.2608, lr=0.009326, batch_cost=0.6122, reader_cost=0.0002 | ETA 12:35:23 2020-12-16 15:23:47 [INFO] [TRAIN] epoch=17, iter=5980/80000, loss=0.2314, lr=0.009325, batch_cost=0.6233, reader_cost=0.0023 | ETA 12:48:56 2020-12-16 15:23:54 [INFO] [TRAIN] epoch=17, iter=5990/80000, loss=0.2611, lr=0.009324, batch_cost=0.6914, reader_cost=0.0002 | ETA 14:12:50 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 15:24:04 [INFO] [TRAIN] epoch=17, iter=6000/80000, loss=0.2810, lr=0.009323, batch_cost=1.0278, reader_cost=0.0040 | ETA 21:07:40 aug_eval False scales 1.0 2020-12-16 15:24:04 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 15:25:04 [INFO] [EVAL] #Images=500 mIoU=0.6703 Acc=0.9431 Kappa=0.9261 2020-12-16 15:25:04 [INFO] [EVAL] Class IoU: [0.9705 0.7821 0.8909 0.3992 0.4687 0.5256 0.6133 0.7066 0.9073 0.5723 0.9263 0.7493 0.4101 0.926 0.5263 0.6525 0.5633 0.4428 0.7034] 2020-12-16 15:25:04 [INFO] [EVAL] Class Acc: [0.9849 0.8886 0.9275 0.763 0.7327 0.7111 0.721 0.8889 0.9517 0.8329 0.9513 0.8336 0.7668 0.9585 0.608 0.7567 0.6407 0.5313 0.865 ] 2020-12-16 15:25:14 [INFO] [EVAL] The model with the best validation mIoU (0.6703) was saved at iter 6000. 2020-12-16 15:25:24 [INFO] [TRAIN] epoch=17, iter=6010/80000, loss=0.2874, lr=0.009321, batch_cost=0.9149, reader_cost=0.0043 | ETA 18:48:10 2020-12-16 15:25:34 [INFO] [TRAIN] epoch=17, iter=6020/80000, loss=0.3244, lr=0.009320, batch_cost=1.0104, reader_cost=0.0002 | ETA 20:45:47 2020-12-16 15:25:43 [INFO] [TRAIN] epoch=17, iter=6030/80000, loss=0.2460, lr=0.009319, batch_cost=0.9487, reader_cost=0.0017 | ETA 19:29:35 2020-12-16 15:25:52 [INFO] [TRAIN] epoch=17, iter=6040/80000, loss=0.2646, lr=0.009318, batch_cost=0.9186, reader_cost=0.0006 | ETA 18:52:21 2020-12-16 15:26:01 [INFO] [TRAIN] epoch=17, iter=6050/80000, loss=0.2238, lr=0.009317, batch_cost=0.9041, reader_cost=0.0001 | ETA 18:34:18 2020-12-16 15:26:10 [INFO] [TRAIN] epoch=17, iter=6060/80000, loss=0.3532, lr=0.009316, batch_cost=0.8315, reader_cost=0.0068 | ETA 17:04:41 2020-12-16 15:26:20 [INFO] [TRAIN] epoch=17, iter=6070/80000, loss=0.2873, lr=0.009315, batch_cost=1.0114, reader_cost=0.0002 | ETA 20:46:09 2020-12-16 15:26:29 [INFO] [TRAIN] epoch=17, iter=6080/80000, loss=0.2536, lr=0.009313, batch_cost=0.9639, reader_cost=0.0002 | ETA 19:47:28 2020-12-16 15:26:40 [INFO] [TRAIN] epoch=17, iter=6090/80000, loss=0.2916, lr=0.009312, batch_cost=1.0163, reader_cost=0.0018 | ETA 20:51:54 2020-12-16 15:26:50 [INFO] [TRAIN] epoch=17, iter=6100/80000, loss=0.2731, lr=0.009311, batch_cost=0.9934, reader_cost=0.0037 | ETA 20:23:29 2020-12-16 15:26:59 [INFO] [TRAIN] epoch=17, iter=6110/80000, loss=0.3220, lr=0.009310, batch_cost=0.9009, reader_cost=0.0023 | ETA 18:29:28 2020-12-16 15:27:08 [INFO] [TRAIN] epoch=17, iter=6120/80000, loss=0.2874, lr=0.009309, batch_cost=0.9443, reader_cost=0.0034 | ETA 19:22:43 2020-12-16 15:27:17 [INFO] [TRAIN] epoch=17, iter=6130/80000, loss=0.2673, lr=0.009308, batch_cost=0.9167, reader_cost=0.0049 | ETA 18:48:39 2020-12-16 15:27:26 [INFO] [TRAIN] epoch=17, iter=6140/80000, loss=0.2499, lr=0.009307, batch_cost=0.9141, reader_cost=0.0015 | ETA 18:45:14 2020-12-16 15:27:36 [INFO] [TRAIN] epoch=17, iter=6150/80000, loss=0.3448, lr=0.009306, batch_cost=0.9435, reader_cost=0.0042 | ETA 19:21:18 2020-12-16 15:27:46 [INFO] [TRAIN] epoch=17, iter=6160/80000, loss=0.2983, lr=0.009304, batch_cost=0.9936, reader_cost=0.0035 | ETA 20:22:51 2020-12-16 15:27:55 [INFO] [TRAIN] epoch=17, iter=6170/80000, loss=0.2872, lr=0.009303, batch_cost=0.9447, reader_cost=0.0014 | ETA 19:22:27 2020-12-16 15:28:05 [INFO] [TRAIN] epoch=17, iter=6180/80000, loss=0.3707, lr=0.009302, batch_cost=1.0323, reader_cost=0.0007 | ETA 21:10:03 2020-12-16 15:28:16 [INFO] [TRAIN] epoch=17, iter=6190/80000, loss=0.2871, lr=0.009301, batch_cost=1.0469, reader_cost=0.0017 | ETA 21:27:52 2020-12-16 15:28:26 [INFO] [TRAIN] epoch=17, iter=6200/80000, loss=0.4289, lr=0.009300, batch_cost=0.9784, reader_cost=0.0013 | ETA 20:03:22 2020-12-16 15:28:36 [INFO] [TRAIN] epoch=17, iter=6210/80000, loss=0.2746, lr=0.009299, batch_cost=1.0472, reader_cost=0.0002 | ETA 21:27:51 2020-12-16 15:28:45 [INFO] [TRAIN] epoch=17, iter=6220/80000, loss=0.2306, lr=0.009298, batch_cost=0.9084, reader_cost=0.0002 | ETA 18:37:02 2020-12-16 15:28:54 [INFO] [TRAIN] epoch=17, iter=6230/80000, loss=0.4239, lr=0.009296, batch_cost=0.8823, reader_cost=0.0002 | ETA 18:04:43 2020-12-16 15:29:04 [INFO] [TRAIN] epoch=17, iter=6240/80000, loss=0.2935, lr=0.009295, batch_cost=0.9684, reader_cost=0.0036 | ETA 19:50:30 2020-12-16 15:29:14 [INFO] [TRAIN] epoch=17, iter=6250/80000, loss=0.3079, lr=0.009294, batch_cost=1.0221, reader_cost=0.0029 | ETA 20:56:18 2020-12-16 15:29:24 [INFO] [TRAIN] epoch=17, iter=6260/80000, loss=0.3960, lr=0.009293, batch_cost=0.9692, reader_cost=0.0050 | ETA 19:51:07 2020-12-16 15:29:33 [INFO] [TRAIN] epoch=17, iter=6270/80000, loss=0.2806, lr=0.009292, batch_cost=0.9259, reader_cost=0.0019 | ETA 18:57:47 2020-12-16 15:29:43 [INFO] [TRAIN] epoch=17, iter=6280/80000, loss=0.2872, lr=0.009291, batch_cost=0.9658, reader_cost=0.0009 | ETA 19:46:35 2020-12-16 15:29:52 [INFO] [TRAIN] epoch=17, iter=6290/80000, loss=0.2835, lr=0.009290, batch_cost=0.9454, reader_cost=0.0009 | ETA 19:21:23 2020-12-16 15:30:00 [INFO] [TRAIN] epoch=17, iter=6300/80000, loss=0.2688, lr=0.009288, batch_cost=0.8089, reader_cost=0.0019 | ETA 16:33:34 2020-12-16 15:30:09 [INFO] [TRAIN] epoch=17, iter=6310/80000, loss=0.2695, lr=0.009287, batch_cost=0.8713, reader_cost=0.0008 | ETA 17:50:04 2020-12-16 15:30:19 [INFO] [TRAIN] epoch=17, iter=6320/80000, loss=0.2327, lr=0.009286, batch_cost=0.9957, reader_cost=0.0025 | ETA 20:22:43 2020-12-16 15:30:29 [INFO] [TRAIN] epoch=18, iter=6330/80000, loss=0.1889, lr=0.009285, batch_cost=0.9644, reader_cost=0.1124 | ETA 19:44:04 2020-12-16 15:30:38 [INFO] [TRAIN] epoch=18, iter=6340/80000, loss=0.3056, lr=0.009284, batch_cost=0.9811, reader_cost=0.0281 | ETA 20:04:29 2020-12-16 15:30:48 [INFO] [TRAIN] epoch=18, iter=6350/80000, loss=0.2491, lr=0.009283, batch_cost=0.9740, reader_cost=0.0036 | ETA 19:55:37 2020-12-16 15:30:54 [INFO] [TRAIN] epoch=18, iter=6360/80000, loss=0.3378, lr=0.009282, batch_cost=0.5503, reader_cost=0.0001 | ETA 11:15:22 2020-12-16 15:30:59 [INFO] [TRAIN] epoch=18, iter=6370/80000, loss=0.3071, lr=0.009281, batch_cost=0.5844, reader_cost=0.0005 | ETA 11:57:06 2020-12-16 15:31:05 [INFO] [TRAIN] epoch=18, iter=6380/80000, loss=0.3530, lr=0.009279, batch_cost=0.5688, reader_cost=0.0002 | ETA 11:37:53 2020-12-16 15:31:11 [INFO] [TRAIN] epoch=18, iter=6390/80000, loss=0.3906, lr=0.009278, batch_cost=0.5815, reader_cost=0.0001 | ETA 11:53:23 2020-12-16 15:31:17 [INFO] [TRAIN] epoch=18, iter=6400/80000, loss=0.3101, lr=0.009277, batch_cost=0.6179, reader_cost=0.0011 | ETA 12:37:59 2020-12-16 15:31:25 [INFO] [TRAIN] epoch=18, iter=6410/80000, loss=0.2943, lr=0.009276, batch_cost=0.7735, reader_cost=0.0037 | ETA 15:48:38 2020-12-16 15:31:33 [INFO] [TRAIN] epoch=18, iter=6420/80000, loss=0.2683, lr=0.009275, batch_cost=0.8064, reader_cost=0.0029 | ETA 16:28:56 2020-12-16 15:31:42 [INFO] [TRAIN] epoch=18, iter=6430/80000, loss=0.3235, lr=0.009274, batch_cost=0.9425, reader_cost=0.0028 | ETA 19:15:43 2020-12-16 15:31:52 [INFO] [TRAIN] epoch=18, iter=6440/80000, loss=0.2823, lr=0.009273, batch_cost=0.9142, reader_cost=0.0012 | ETA 18:40:49 2020-12-16 15:32:00 [INFO] [TRAIN] epoch=18, iter=6450/80000, loss=0.2336, lr=0.009271, batch_cost=0.8916, reader_cost=0.0016 | ETA 18:12:57 2020-12-16 15:32:09 [INFO] [TRAIN] epoch=18, iter=6460/80000, loss=0.2449, lr=0.009270, batch_cost=0.9008, reader_cost=0.0031 | ETA 18:24:08 2020-12-16 15:32:18 [INFO] [TRAIN] epoch=18, iter=6470/80000, loss=0.4599, lr=0.009269, batch_cost=0.8922, reader_cost=0.0002 | ETA 18:13:24 2020-12-16 15:32:28 [INFO] [TRAIN] epoch=18, iter=6480/80000, loss=0.2294, lr=0.009268, batch_cost=0.9397, reader_cost=0.0022 | ETA 19:11:28 2020-12-16 15:32:37 [INFO] [TRAIN] epoch=18, iter=6490/80000, loss=0.3115, lr=0.009267, batch_cost=0.9553, reader_cost=0.0007 | ETA 19:30:21 2020-12-16 15:32:46 [INFO] [TRAIN] epoch=18, iter=6500/80000, loss=0.2143, lr=0.009266, batch_cost=0.9122, reader_cost=0.0063 | ETA 18:37:28 2020-12-16 15:32:56 [INFO] [TRAIN] epoch=18, iter=6510/80000, loss=0.3113, lr=0.009265, batch_cost=0.9327, reader_cost=0.0001 | ETA 19:02:24 2020-12-16 15:33:05 [INFO] [TRAIN] epoch=18, iter=6520/80000, loss=0.2846, lr=0.009264, batch_cost=0.9305, reader_cost=0.0020 | ETA 18:59:34 2020-12-16 15:33:14 [INFO] [TRAIN] epoch=18, iter=6530/80000, loss=0.2261, lr=0.009262, batch_cost=0.9320, reader_cost=0.0012 | ETA 19:01:16 2020-12-16 15:33:23 [INFO] [TRAIN] epoch=18, iter=6540/80000, loss=0.2584, lr=0.009261, batch_cost=0.8998, reader_cost=0.0026 | ETA 18:21:41 2020-12-16 15:33:31 [INFO] [TRAIN] epoch=18, iter=6550/80000, loss=0.1827, lr=0.009260, batch_cost=0.7835, reader_cost=0.0002 | ETA 15:59:07 2020-12-16 15:33:40 [INFO] [TRAIN] epoch=18, iter=6560/80000, loss=0.3189, lr=0.009259, batch_cost=0.8899, reader_cost=0.0055 | ETA 18:09:14 2020-12-16 15:33:48 [INFO] [TRAIN] epoch=18, iter=6570/80000, loss=0.4048, lr=0.009258, batch_cost=0.8234, reader_cost=0.0014 | ETA 16:47:39 2020-12-16 15:33:58 [INFO] [TRAIN] epoch=18, iter=6580/80000, loss=0.3292, lr=0.009257, batch_cost=0.9161, reader_cost=0.0019 | ETA 18:41:01 2020-12-16 15:34:07 [INFO] [TRAIN] epoch=18, iter=6590/80000, loss=0.2388, lr=0.009256, batch_cost=0.9630, reader_cost=0.0043 | ETA 19:38:15 2020-12-16 15:34:16 [INFO] [TRAIN] epoch=18, iter=6600/80000, loss=0.2398, lr=0.009254, batch_cost=0.9006, reader_cost=0.0015 | ETA 18:21:42 2020-12-16 15:34:26 [INFO] [TRAIN] epoch=18, iter=6610/80000, loss=0.2821, lr=0.009253, batch_cost=0.9838, reader_cost=0.0003 | ETA 20:03:22 2020-12-16 15:34:35 [INFO] [TRAIN] epoch=18, iter=6620/80000, loss=0.2462, lr=0.009252, batch_cost=0.9028, reader_cost=0.0031 | ETA 18:24:08 2020-12-16 15:34:45 [INFO] [TRAIN] epoch=18, iter=6630/80000, loss=0.2856, lr=0.009251, batch_cost=1.0048, reader_cost=0.0011 | ETA 20:28:45 2020-12-16 15:34:55 [INFO] [TRAIN] epoch=18, iter=6640/80000, loss=0.3560, lr=0.009250, batch_cost=0.9447, reader_cost=0.0002 | ETA 19:15:04 2020-12-16 15:35:03 [INFO] [TRAIN] epoch=18, iter=6650/80000, loss=0.3204, lr=0.009249, batch_cost=0.8727, reader_cost=0.0015 | ETA 17:46:51 2020-12-16 15:35:12 [INFO] [TRAIN] epoch=18, iter=6660/80000, loss=0.2275, lr=0.009248, batch_cost=0.8850, reader_cost=0.0018 | ETA 18:01:46 2020-12-16 15:35:22 [INFO] [TRAIN] epoch=18, iter=6670/80000, loss=0.2427, lr=0.009247, batch_cost=1.0059, reader_cost=0.0010 | ETA 20:29:20 2020-12-16 15:35:31 [INFO] [TRAIN] epoch=18, iter=6680/80000, loss=0.2412, lr=0.009245, batch_cost=0.9255, reader_cost=0.0023 | ETA 18:50:56 2020-12-16 15:35:41 [INFO] [TRAIN] epoch=18, iter=6690/80000, loss=0.2635, lr=0.009244, batch_cost=0.9777, reader_cost=0.0001 | ETA 19:54:37 2020-12-16 15:35:49 [INFO] [TRAIN] epoch=19, iter=6700/80000, loss=0.2560, lr=0.009243, batch_cost=0.8161, reader_cost=0.0691 | ETA 16:36:57 2020-12-16 15:35:59 [INFO] [TRAIN] epoch=19, iter=6710/80000, loss=0.2673, lr=0.009242, batch_cost=1.0043, reader_cost=0.0004 | ETA 20:26:43 2020-12-16 15:36:10 [INFO] [TRAIN] epoch=19, iter=6720/80000, loss=0.2641, lr=0.009241, batch_cost=1.0127, reader_cost=0.0027 | ETA 20:36:52 2020-12-16 15:36:18 [INFO] [TRAIN] epoch=19, iter=6730/80000, loss=0.2726, lr=0.009240, batch_cost=0.8835, reader_cost=0.0010 | ETA 17:58:52 2020-12-16 15:36:27 [INFO] [TRAIN] epoch=19, iter=6740/80000, loss=0.2835, lr=0.009239, batch_cost=0.8255, reader_cost=0.0004 | ETA 16:47:58 2020-12-16 15:36:36 [INFO] [TRAIN] epoch=19, iter=6750/80000, loss=0.2827, lr=0.009237, batch_cost=0.9699, reader_cost=0.0031 | ETA 19:44:02 2020-12-16 15:36:44 [INFO] [TRAIN] epoch=19, iter=6760/80000, loss=0.2536, lr=0.009236, batch_cost=0.7391, reader_cost=0.0001 | ETA 15:02:10 2020-12-16 15:36:53 [INFO] [TRAIN] epoch=19, iter=6770/80000, loss=0.2070, lr=0.009235, batch_cost=0.9104, reader_cost=0.0016 | ETA 18:31:07 2020-12-16 15:37:01 [INFO] [TRAIN] epoch=19, iter=6780/80000, loss=0.2575, lr=0.009234, batch_cost=0.8269, reader_cost=0.0027 | ETA 16:49:05 2020-12-16 15:37:11 [INFO] [TRAIN] epoch=19, iter=6790/80000, loss=0.3544, lr=0.009233, batch_cost=1.0000, reader_cost=0.0002 | ETA 20:20:08 2020-12-16 15:37:20 [INFO] [TRAIN] epoch=19, iter=6800/80000, loss=0.4792, lr=0.009232, batch_cost=0.9252, reader_cost=0.0002 | ETA 18:48:41 2020-12-16 15:37:30 [INFO] [TRAIN] epoch=19, iter=6810/80000, loss=0.3533, lr=0.009231, batch_cost=0.9309, reader_cost=0.0086 | ETA 18:55:32 2020-12-16 15:37:38 [INFO] [TRAIN] epoch=19, iter=6820/80000, loss=0.3583, lr=0.009229, batch_cost=0.8626, reader_cost=0.0011 | ETA 17:32:06 2020-12-16 15:37:44 [INFO] [TRAIN] epoch=19, iter=6830/80000, loss=0.3700, lr=0.009228, batch_cost=0.5896, reader_cost=0.0013 | ETA 11:58:58 2020-12-16 15:37:50 [INFO] [TRAIN] epoch=19, iter=6840/80000, loss=0.4096, lr=0.009227, batch_cost=0.5883, reader_cost=0.0001 | ETA 11:57:19 2020-12-16 15:37:56 [INFO] [TRAIN] epoch=19, iter=6850/80000, loss=0.3214, lr=0.009226, batch_cost=0.5576, reader_cost=0.0001 | ETA 11:19:48 2020-12-16 15:38:01 [INFO] [TRAIN] epoch=19, iter=6860/80000, loss=0.4707, lr=0.009225, batch_cost=0.5596, reader_cost=0.0001 | ETA 11:22:09 2020-12-16 15:38:08 [INFO] [TRAIN] epoch=19, iter=6870/80000, loss=0.3924, lr=0.009224, batch_cost=0.6460, reader_cost=0.0014 | ETA 13:07:23 2020-12-16 15:38:15 [INFO] [TRAIN] epoch=19, iter=6880/80000, loss=0.3010, lr=0.009223, batch_cost=0.7471, reader_cost=0.0011 | ETA 15:10:26 2020-12-16 15:38:25 [INFO] [TRAIN] epoch=19, iter=6890/80000, loss=0.2872, lr=0.009222, batch_cost=0.9367, reader_cost=0.0002 | ETA 19:01:25 2020-12-16 15:38:34 [INFO] [TRAIN] epoch=19, iter=6900/80000, loss=0.2957, lr=0.009220, batch_cost=0.9744, reader_cost=0.0014 | ETA 19:47:12 2020-12-16 15:38:44 [INFO] [TRAIN] epoch=19, iter=6910/80000, loss=0.2551, lr=0.009219, batch_cost=0.9962, reader_cost=0.0083 | ETA 20:13:30 2020-12-16 15:38:55 [INFO] [TRAIN] epoch=19, iter=6920/80000, loss=0.2474, lr=0.009218, batch_cost=1.0714, reader_cost=0.0126 | ETA 21:45:01 2020-12-16 15:39:05 [INFO] [TRAIN] epoch=19, iter=6930/80000, loss=0.4028, lr=0.009217, batch_cost=0.9756, reader_cost=0.0017 | ETA 19:48:05 2020-12-16 15:39:15 [INFO] [TRAIN] epoch=19, iter=6940/80000, loss=0.2751, lr=0.009216, batch_cost=0.9893, reader_cost=0.0002 | ETA 20:04:39 2020-12-16 15:39:26 [INFO] [TRAIN] epoch=19, iter=6950/80000, loss=0.2468, lr=0.009215, batch_cost=1.0719, reader_cost=0.0040 | ETA 21:45:01 2020-12-16 15:39:35 [INFO] [TRAIN] epoch=19, iter=6960/80000, loss=0.2529, lr=0.009214, batch_cost=0.9787, reader_cost=0.0029 | ETA 19:51:23 2020-12-16 15:39:45 [INFO] [TRAIN] epoch=19, iter=6970/80000, loss=0.2991, lr=0.009212, batch_cost=0.9988, reader_cost=0.0007 | ETA 20:15:43 2020-12-16 15:39:56 [INFO] [TRAIN] epoch=19, iter=6980/80000, loss=0.2522, lr=0.009211, batch_cost=1.0304, reader_cost=0.0026 | ETA 20:53:56 2020-12-16 15:40:06 [INFO] [TRAIN] epoch=19, iter=6990/80000, loss=0.1918, lr=0.009210, batch_cost=1.0467, reader_cost=0.0015 | ETA 21:13:41 2020-12-16 15:40:16 [INFO] [TRAIN] epoch=19, iter=7000/80000, loss=0.3134, lr=0.009209, batch_cost=1.0131, reader_cost=0.0010 | ETA 20:32:34 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 15:40:16 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 15:41:21 [INFO] [EVAL] #Images=500 mIoU=0.7041 Acc=0.9459 Kappa=0.9298 2020-12-16 15:41:21 [INFO] [EVAL] Class IoU: [0.969 0.7785 0.9045 0.3598 0.5325 0.5166 0.6287 0.7239 0.9062 0.5532 0.9279 0.7724 0.5349 0.9237 0.6828 0.7446 0.6852 0.5032 0.7296] 2020-12-16 15:41:21 [INFO] [EVAL] Class Acc: [0.9856 0.8629 0.9447 0.8022 0.7307 0.7611 0.7508 0.87 0.9347 0.872 0.9617 0.8651 0.6592 0.9467 0.8619 0.9067 0.8846 0.8129 0.8462] 2020-12-16 15:41:34 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 15:41:43 [INFO] [TRAIN] epoch=19, iter=7010/80000, loss=0.2273, lr=0.009208, batch_cost=0.9104, reader_cost=0.0027 | ETA 18:27:26 2020-12-16 15:41:53 [INFO] [TRAIN] epoch=19, iter=7020/80000, loss=0.2631, lr=0.009207, batch_cost=1.0214, reader_cost=0.0092 | ETA 20:42:22 2020-12-16 15:42:04 [INFO] [TRAIN] epoch=19, iter=7030/80000, loss=0.2996, lr=0.009206, batch_cost=1.0575, reader_cost=0.0036 | ETA 21:26:02 2020-12-16 15:42:12 [INFO] [TRAIN] epoch=19, iter=7040/80000, loss=0.2269, lr=0.009205, batch_cost=0.8669, reader_cost=0.0002 | ETA 17:34:06 2020-12-16 15:42:23 [INFO] [TRAIN] epoch=19, iter=7050/80000, loss=0.2972, lr=0.009203, batch_cost=1.0661, reader_cost=0.0011 | ETA 21:36:10 2020-12-16 15:42:33 [INFO] [TRAIN] epoch=19, iter=7060/80000, loss=0.3148, lr=0.009202, batch_cost=1.0194, reader_cost=0.0019 | ETA 20:39:14 2020-12-16 15:42:42 [INFO] [TRAIN] epoch=20, iter=7070/80000, loss=0.4949, lr=0.009201, batch_cost=0.8558, reader_cost=0.1180 | ETA 17:20:11 2020-12-16 15:42:53 [INFO] [TRAIN] epoch=20, iter=7080/80000, loss=0.5076, lr=0.009200, batch_cost=1.0752, reader_cost=0.0010 | ETA 21:46:43 2020-12-16 15:43:03 [INFO] [TRAIN] epoch=20, iter=7090/80000, loss=0.3787, lr=0.009199, batch_cost=1.0277, reader_cost=0.0060 | ETA 20:48:53 2020-12-16 15:43:13 [INFO] [TRAIN] epoch=20, iter=7100/80000, loss=0.2246, lr=0.009198, batch_cost=1.0502, reader_cost=0.1062 | ETA 21:15:57 2020-12-16 15:43:24 [INFO] [TRAIN] epoch=20, iter=7110/80000, loss=0.3022, lr=0.009197, batch_cost=1.0707, reader_cost=0.0862 | ETA 21:40:39 2020-12-16 15:43:33 [INFO] [TRAIN] epoch=20, iter=7120/80000, loss=0.2649, lr=0.009195, batch_cost=0.8687, reader_cost=0.0020 | ETA 17:35:08 2020-12-16 15:43:42 [INFO] [TRAIN] epoch=20, iter=7130/80000, loss=0.2585, lr=0.009194, batch_cost=0.9556, reader_cost=0.0013 | ETA 19:20:37 2020-12-16 15:43:53 [INFO] [TRAIN] epoch=20, iter=7140/80000, loss=0.3616, lr=0.009193, batch_cost=1.0541, reader_cost=0.0031 | ETA 21:20:04 2020-12-16 15:44:02 [INFO] [TRAIN] epoch=20, iter=7150/80000, loss=0.1949, lr=0.009192, batch_cost=0.9189, reader_cost=0.0033 | ETA 18:35:43 2020-12-16 15:44:10 [INFO] [TRAIN] epoch=20, iter=7160/80000, loss=0.3467, lr=0.009191, batch_cost=0.8412, reader_cost=0.0065 | ETA 17:01:16 2020-12-16 15:44:21 [INFO] [TRAIN] epoch=20, iter=7170/80000, loss=0.3705, lr=0.009190, batch_cost=1.0330, reader_cost=0.0050 | ETA 20:53:55 2020-12-16 15:44:30 [INFO] [TRAIN] epoch=20, iter=7180/80000, loss=0.3676, lr=0.009189, batch_cost=0.9228, reader_cost=0.0001 | ETA 18:39:56 2020-12-16 15:44:40 [INFO] [TRAIN] epoch=20, iter=7190/80000, loss=0.2852, lr=0.009187, batch_cost=0.9917, reader_cost=0.0026 | ETA 20:03:27 2020-12-16 15:44:49 [INFO] [TRAIN] epoch=20, iter=7200/80000, loss=0.2865, lr=0.009186, batch_cost=0.9480, reader_cost=0.0031 | ETA 19:10:17 2020-12-16 15:45:00 [INFO] [TRAIN] epoch=20, iter=7210/80000, loss=0.3345, lr=0.009185, batch_cost=1.0256, reader_cost=0.0002 | ETA 20:44:11 2020-12-16 15:45:09 [INFO] [TRAIN] epoch=20, iter=7220/80000, loss=0.2280, lr=0.009184, batch_cost=0.8861, reader_cost=0.0020 | ETA 17:54:47 2020-12-16 15:45:16 [INFO] [TRAIN] epoch=20, iter=7230/80000, loss=0.3096, lr=0.009183, batch_cost=0.7447, reader_cost=0.0004 | ETA 15:03:14 2020-12-16 15:45:21 [INFO] [TRAIN] epoch=20, iter=7240/80000, loss=0.3567, lr=0.009182, batch_cost=0.5382, reader_cost=0.0002 | ETA 10:52:39 2020-12-16 15:45:28 [INFO] [TRAIN] epoch=20, iter=7250/80000, loss=0.3502, lr=0.009181, batch_cost=0.6144, reader_cost=0.0004 | ETA 12:25:00 2020-12-16 15:45:33 [INFO] [TRAIN] epoch=20, iter=7260/80000, loss=0.2471, lr=0.009180, batch_cost=0.5449, reader_cost=0.0001 | ETA 11:00:37 2020-12-16 15:45:39 [INFO] [TRAIN] epoch=20, iter=7270/80000, loss=0.2288, lr=0.009178, batch_cost=0.5613, reader_cost=0.0001 | ETA 11:20:24 2020-12-16 15:45:45 [INFO] [TRAIN] epoch=20, iter=7280/80000, loss=0.2763, lr=0.009177, batch_cost=0.6261, reader_cost=0.0009 | ETA 12:38:47 2020-12-16 15:45:54 [INFO] [TRAIN] epoch=20, iter=7290/80000, loss=0.4470, lr=0.009176, batch_cost=0.8674, reader_cost=0.0041 | ETA 17:31:06 2020-12-16 15:46:02 [INFO] [TRAIN] epoch=20, iter=7300/80000, loss=0.2606, lr=0.009175, batch_cost=0.8140, reader_cost=0.0031 | ETA 16:26:16 2020-12-16 15:46:10 [INFO] [TRAIN] epoch=20, iter=7310/80000, loss=0.2305, lr=0.009174, batch_cost=0.8357, reader_cost=0.0027 | ETA 16:52:29 2020-12-16 15:46:19 [INFO] [TRAIN] epoch=20, iter=7320/80000, loss=0.2214, lr=0.009173, batch_cost=0.8883, reader_cost=0.0002 | ETA 17:56:04 2020-12-16 15:46:28 [INFO] [TRAIN] epoch=20, iter=7330/80000, loss=0.2286, lr=0.009172, batch_cost=0.8893, reader_cost=0.0015 | ETA 17:57:08 2020-12-16 15:46:37 [INFO] [TRAIN] epoch=20, iter=7340/80000, loss=0.2502, lr=0.009170, batch_cost=0.8855, reader_cost=0.0001 | ETA 17:52:23 2020-12-16 15:46:45 [INFO] [TRAIN] epoch=20, iter=7350/80000, loss=0.3516, lr=0.009169, batch_cost=0.8290, reader_cost=0.0002 | ETA 16:43:47 2020-12-16 15:46:53 [INFO] [TRAIN] epoch=20, iter=7360/80000, loss=0.3297, lr=0.009168, batch_cost=0.8258, reader_cost=0.0021 | ETA 16:39:48 2020-12-16 15:47:02 [INFO] [TRAIN] epoch=20, iter=7370/80000, loss=0.3565, lr=0.009167, batch_cost=0.8797, reader_cost=0.0016 | ETA 17:44:54 2020-12-16 15:47:11 [INFO] [TRAIN] epoch=20, iter=7380/80000, loss=0.2613, lr=0.009166, batch_cost=0.9038, reader_cost=0.0027 | ETA 18:13:54 2020-12-16 15:47:19 [INFO] [TRAIN] epoch=20, iter=7390/80000, loss=0.3088, lr=0.009165, batch_cost=0.8270, reader_cost=0.0001 | ETA 16:40:51 2020-12-16 15:47:28 [INFO] [TRAIN] epoch=20, iter=7400/80000, loss=0.2338, lr=0.009164, batch_cost=0.8321, reader_cost=0.0005 | ETA 16:46:50 2020-12-16 15:47:37 [INFO] [TRAIN] epoch=20, iter=7410/80000, loss=0.2328, lr=0.009162, batch_cost=0.9241, reader_cost=0.0002 | ETA 18:37:56 2020-12-16 15:47:45 [INFO] [TRAIN] epoch=20, iter=7420/80000, loss=0.3276, lr=0.009161, batch_cost=0.8319, reader_cost=0.0012 | ETA 16:46:16 2020-12-16 15:47:54 [INFO] [TRAIN] epoch=20, iter=7430/80000, loss=0.2442, lr=0.009160, batch_cost=0.9053, reader_cost=0.0030 | ETA 18:14:56 2020-12-16 15:48:02 [INFO] [TRAIN] epoch=20, iter=7440/80000, loss=0.2092, lr=0.009159, batch_cost=0.7511, reader_cost=0.0002 | ETA 15:08:19 2020-12-16 15:48:12 [INFO] [TRAIN] epoch=21, iter=7450/80000, loss=0.2411, lr=0.009158, batch_cost=0.9912, reader_cost=0.0814 | ETA 19:58:32 2020-12-16 15:48:20 [INFO] [TRAIN] epoch=21, iter=7460/80000, loss=0.2163, lr=0.009157, batch_cost=0.8509, reader_cost=0.0016 | ETA 17:08:47 2020-12-16 15:48:29 [INFO] [TRAIN] epoch=21, iter=7470/80000, loss=0.3318, lr=0.009156, batch_cost=0.8625, reader_cost=0.0018 | ETA 17:22:37 2020-12-16 15:48:38 [INFO] [TRAIN] epoch=21, iter=7480/80000, loss=0.2677, lr=0.009155, batch_cost=0.8742, reader_cost=0.0013 | ETA 17:36:35 2020-12-16 15:48:47 [INFO] [TRAIN] epoch=21, iter=7490/80000, loss=0.2322, lr=0.009153, batch_cost=0.9715, reader_cost=0.0008 | ETA 19:34:06 2020-12-16 15:48:56 [INFO] [TRAIN] epoch=21, iter=7500/80000, loss=0.3235, lr=0.009152, batch_cost=0.8271, reader_cost=0.0003 | ETA 16:39:26 2020-12-16 15:49:05 [INFO] [TRAIN] epoch=21, iter=7510/80000, loss=0.3428, lr=0.009151, batch_cost=0.8924, reader_cost=0.0051 | ETA 17:58:11 2020-12-16 15:49:13 [INFO] [TRAIN] epoch=21, iter=7520/80000, loss=0.3550, lr=0.009150, batch_cost=0.8574, reader_cost=0.0006 | ETA 17:15:41 2020-12-16 15:49:22 [INFO] [TRAIN] epoch=21, iter=7530/80000, loss=0.2273, lr=0.009149, batch_cost=0.8561, reader_cost=0.0002 | ETA 17:14:01 2020-12-16 15:49:30 [INFO] [TRAIN] epoch=21, iter=7540/80000, loss=0.2616, lr=0.009148, batch_cost=0.8025, reader_cost=0.0031 | ETA 16:09:10 2020-12-16 15:49:38 [INFO] [TRAIN] epoch=21, iter=7550/80000, loss=0.7962, lr=0.009147, batch_cost=0.8373, reader_cost=0.0021 | ETA 16:51:03 2020-12-16 15:49:47 [INFO] [TRAIN] epoch=21, iter=7560/80000, loss=0.3583, lr=0.009145, batch_cost=0.8520, reader_cost=0.0007 | ETA 17:08:39 2020-12-16 15:49:55 [INFO] [TRAIN] epoch=21, iter=7570/80000, loss=0.3693, lr=0.009144, batch_cost=0.8784, reader_cost=0.0065 | ETA 17:40:19 2020-12-16 15:50:04 [INFO] [TRAIN] epoch=21, iter=7580/80000, loss=0.3158, lr=0.009143, batch_cost=0.8073, reader_cost=0.0023 | ETA 16:14:25 2020-12-16 15:50:12 [INFO] [TRAIN] epoch=21, iter=7590/80000, loss=0.3360, lr=0.009142, batch_cost=0.8860, reader_cost=0.0017 | ETA 17:49:12 2020-12-16 15:50:21 [INFO] [TRAIN] epoch=21, iter=7600/80000, loss=0.2592, lr=0.009141, batch_cost=0.8402, reader_cost=0.0040 | ETA 16:53:50 2020-12-16 15:50:29 [INFO] [TRAIN] epoch=21, iter=7610/80000, loss=0.3077, lr=0.009140, batch_cost=0.8570, reader_cost=0.0001 | ETA 17:14:00 2020-12-16 15:50:38 [INFO] [TRAIN] epoch=21, iter=7620/80000, loss=0.3893, lr=0.009139, batch_cost=0.8202, reader_cost=0.0039 | ETA 16:29:25 2020-12-16 15:50:46 [INFO] [TRAIN] epoch=21, iter=7630/80000, loss=0.4155, lr=0.009137, batch_cost=0.8212, reader_cost=0.0017 | ETA 16:30:32 2020-12-16 15:50:54 [INFO] [TRAIN] epoch=21, iter=7640/80000, loss=0.3083, lr=0.009136, batch_cost=0.8095, reader_cost=0.0043 | ETA 16:16:13 2020-12-16 15:51:03 [INFO] [TRAIN] epoch=21, iter=7650/80000, loss=0.4003, lr=0.009135, batch_cost=0.8691, reader_cost=0.0009 | ETA 17:27:58 2020-12-16 15:51:11 [INFO] [TRAIN] epoch=21, iter=7660/80000, loss=0.4745, lr=0.009134, batch_cost=0.8442, reader_cost=0.0002 | ETA 16:57:52 2020-12-16 15:51:21 [INFO] [TRAIN] epoch=21, iter=7670/80000, loss=0.2779, lr=0.009133, batch_cost=0.9800, reader_cost=0.0029 | ETA 19:41:21 2020-12-16 15:51:27 [INFO] [TRAIN] epoch=21, iter=7680/80000, loss=0.3490, lr=0.009132, batch_cost=0.5849, reader_cost=0.0008 | ETA 11:45:01 2020-12-16 15:51:32 [INFO] [TRAIN] epoch=21, iter=7690/80000, loss=0.3705, lr=0.009131, batch_cost=0.5539, reader_cost=0.0001 | ETA 11:07:29 2020-12-16 15:51:38 [INFO] [TRAIN] epoch=21, iter=7700/80000, loss=0.3921, lr=0.009130, batch_cost=0.5514, reader_cost=0.0002 | ETA 11:04:24 2020-12-16 15:51:43 [INFO] [TRAIN] epoch=21, iter=7710/80000, loss=0.2903, lr=0.009128, batch_cost=0.5216, reader_cost=0.0001 | ETA 10:28:28 2020-12-16 15:51:48 [INFO] [TRAIN] epoch=21, iter=7720/80000, loss=0.2791, lr=0.009127, batch_cost=0.5482, reader_cost=0.0001 | ETA 11:00:22 2020-12-16 15:51:54 [INFO] [TRAIN] epoch=21, iter=7730/80000, loss=0.5411, lr=0.009126, batch_cost=0.5489, reader_cost=0.0001 | ETA 11:01:10 2020-12-16 15:52:00 [INFO] [TRAIN] epoch=21, iter=7740/80000, loss=0.2784, lr=0.009125, batch_cost=0.5617, reader_cost=0.0001 | ETA 11:16:26 2020-12-16 15:52:05 [INFO] [TRAIN] epoch=21, iter=7750/80000, loss=0.3006, lr=0.009124, batch_cost=0.5548, reader_cost=0.0003 | ETA 11:08:07 2020-12-16 15:52:11 [INFO] [TRAIN] epoch=21, iter=7760/80000, loss=0.2100, lr=0.009123, batch_cost=0.5868, reader_cost=0.0001 | ETA 11:46:33 2020-12-16 15:52:16 [INFO] [TRAIN] epoch=21, iter=7770/80000, loss=0.2417, lr=0.009122, batch_cost=0.5458, reader_cost=0.0001 | ETA 10:57:02 2020-12-16 15:52:22 [INFO] [TRAIN] epoch=21, iter=7780/80000, loss=0.2516, lr=0.009120, batch_cost=0.5807, reader_cost=0.0001 | ETA 11:38:59 2020-12-16 15:52:29 [INFO] [TRAIN] epoch=21, iter=7790/80000, loss=0.2859, lr=0.009119, batch_cost=0.6376, reader_cost=0.0002 | ETA 12:47:24 2020-12-16 15:52:37 [INFO] [TRAIN] epoch=21, iter=7800/80000, loss=0.2796, lr=0.009118, batch_cost=0.8464, reader_cost=0.0045 | ETA 16:58:30 2020-12-16 15:52:45 [INFO] [TRAIN] epoch=21, iter=7810/80000, loss=0.2418, lr=0.009117, batch_cost=0.7667, reader_cost=0.0016 | ETA 15:22:24 2020-12-16 15:52:53 [INFO] [TRAIN] epoch=22, iter=7820/80000, loss=0.2631, lr=0.009116, batch_cost=0.8763, reader_cost=0.0777 | ETA 17:34:10 2020-12-16 15:53:02 [INFO] [TRAIN] epoch=22, iter=7830/80000, loss=0.3142, lr=0.009115, batch_cost=0.8025, reader_cost=0.0002 | ETA 16:05:16 2020-12-16 15:53:09 [INFO] [TRAIN] epoch=22, iter=7840/80000, loss=0.4044, lr=0.009114, batch_cost=0.7770, reader_cost=0.0018 | ETA 15:34:28 2020-12-16 15:53:18 [INFO] [TRAIN] epoch=22, iter=7850/80000, loss=0.2875, lr=0.009112, batch_cost=0.8782, reader_cost=0.0002 | ETA 17:36:04 2020-12-16 15:53:26 [INFO] [TRAIN] epoch=22, iter=7860/80000, loss=0.4055, lr=0.009111, batch_cost=0.7612, reader_cost=0.0035 | ETA 15:15:13 2020-12-16 15:53:33 [INFO] [TRAIN] epoch=22, iter=7870/80000, loss=0.3146, lr=0.009110, batch_cost=0.7448, reader_cost=0.0002 | ETA 14:55:19 2020-12-16 15:53:42 [INFO] [TRAIN] epoch=22, iter=7880/80000, loss=0.3387, lr=0.009109, batch_cost=0.8937, reader_cost=0.0014 | ETA 17:54:16 2020-12-16 15:53:50 [INFO] [TRAIN] epoch=22, iter=7890/80000, loss=0.3276, lr=0.009108, batch_cost=0.7870, reader_cost=0.0006 | ETA 15:45:50 2020-12-16 15:53:58 [INFO] [TRAIN] epoch=22, iter=7900/80000, loss=0.4203, lr=0.009107, batch_cost=0.8154, reader_cost=0.0002 | ETA 16:19:48 2020-12-16 15:54:06 [INFO] [TRAIN] epoch=22, iter=7910/80000, loss=0.3862, lr=0.009106, batch_cost=0.8146, reader_cost=0.0027 | ETA 16:18:41 2020-12-16 15:54:14 [INFO] [TRAIN] epoch=22, iter=7920/80000, loss=0.2867, lr=0.009105, batch_cost=0.7389, reader_cost=0.0030 | ETA 14:47:42 2020-12-16 15:54:22 [INFO] [TRAIN] epoch=22, iter=7930/80000, loss=0.2820, lr=0.009103, batch_cost=0.8566, reader_cost=0.0012 | ETA 17:08:53 2020-12-16 15:54:30 [INFO] [TRAIN] epoch=22, iter=7940/80000, loss=0.2372, lr=0.009102, batch_cost=0.8119, reader_cost=0.0004 | ETA 16:15:04 2020-12-16 15:54:39 [INFO] [TRAIN] epoch=22, iter=7950/80000, loss=0.2195, lr=0.009101, batch_cost=0.8243, reader_cost=0.0003 | ETA 16:29:52 2020-12-16 15:54:46 [INFO] [TRAIN] epoch=22, iter=7960/80000, loss=0.3917, lr=0.009100, batch_cost=0.7585, reader_cost=0.0002 | ETA 15:10:45 2020-12-16 15:54:54 [INFO] [TRAIN] epoch=22, iter=7970/80000, loss=0.2346, lr=0.009099, batch_cost=0.7752, reader_cost=0.0030 | ETA 15:30:36 2020-12-16 15:55:02 [INFO] [TRAIN] epoch=22, iter=7980/80000, loss=0.2329, lr=0.009098, batch_cost=0.8495, reader_cost=0.0029 | ETA 16:59:42 2020-12-16 15:55:12 [INFO] [TRAIN] epoch=22, iter=7990/80000, loss=0.3822, lr=0.009097, batch_cost=0.9310, reader_cost=0.0021 | ETA 18:37:22 2020-12-16 15:55:20 [INFO] [TRAIN] epoch=22, iter=8000/80000, loss=0.2790, lr=0.009095, batch_cost=0.8579, reader_cost=0.0026 | ETA 17:09:27 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 15:55:20 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 15:56:13 [INFO] [EVAL] #Images=500 mIoU=0.6775 Acc=0.9445 Kappa=0.9277 2020-12-16 15:56:13 [INFO] [EVAL] Class IoU: [0.9708 0.7753 0.8998 0.297 0.489 0.5227 0.6387 0.7018 0.9105 0.58 0.9281 0.7693 0.5451 0.9197 0.635 0.631 0.4644 0.4683 0.7257] 2020-12-16 15:56:13 [INFO] [EVAL] Class Acc: [0.9815 0.898 0.9367 0.8201 0.5987 0.7272 0.8037 0.8927 0.9455 0.8129 0.9631 0.878 0.6799 0.9606 0.9 0.8357 0.5203 0.8268 0.8174] 2020-12-16 15:56:19 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 15:56:28 [INFO] [TRAIN] epoch=22, iter=8010/80000, loss=0.3179, lr=0.009094, batch_cost=0.8830, reader_cost=0.0003 | ETA 17:39:28 2020-12-16 15:56:36 [INFO] [TRAIN] epoch=22, iter=8020/80000, loss=0.3288, lr=0.009093, batch_cost=0.7928, reader_cost=0.0011 | ETA 15:51:02 2020-12-16 15:56:43 [INFO] [TRAIN] epoch=22, iter=8030/80000, loss=0.3106, lr=0.009092, batch_cost=0.7523, reader_cost=0.0026 | ETA 15:02:20 2020-12-16 15:56:52 [INFO] [TRAIN] epoch=22, iter=8040/80000, loss=0.2964, lr=0.009091, batch_cost=0.8218, reader_cost=0.0002 | ETA 16:25:38 2020-12-16 15:56:59 [INFO] [TRAIN] epoch=22, iter=8050/80000, loss=0.3309, lr=0.009090, batch_cost=0.7837, reader_cost=0.0014 | ETA 15:39:44 2020-12-16 15:57:08 [INFO] [TRAIN] epoch=22, iter=8060/80000, loss=0.3588, lr=0.009089, batch_cost=0.8465, reader_cost=0.0041 | ETA 16:54:58 2020-12-16 15:57:17 [INFO] [TRAIN] epoch=22, iter=8070/80000, loss=0.2427, lr=0.009087, batch_cost=0.9060, reader_cost=0.0002 | ETA 18:06:06 2020-12-16 15:57:24 [INFO] [TRAIN] epoch=22, iter=8080/80000, loss=0.2981, lr=0.009086, batch_cost=0.7474, reader_cost=0.0020 | ETA 14:55:52 2020-12-16 15:57:33 [INFO] [TRAIN] epoch=22, iter=8090/80000, loss=0.2714, lr=0.009085, batch_cost=0.8711, reader_cost=0.0025 | ETA 17:24:00 2020-12-16 15:57:42 [INFO] [TRAIN] epoch=22, iter=8100/80000, loss=0.3165, lr=0.009084, batch_cost=0.8482, reader_cost=0.0008 | ETA 16:56:27 2020-12-16 15:57:50 [INFO] [TRAIN] epoch=22, iter=8110/80000, loss=0.2917, lr=0.009083, batch_cost=0.8759, reader_cost=0.0021 | ETA 17:29:29 2020-12-16 15:57:58 [INFO] [TRAIN] epoch=22, iter=8120/80000, loss=0.4841, lr=0.009082, batch_cost=0.7734, reader_cost=0.0002 | ETA 15:26:32 2020-12-16 15:58:06 [INFO] [TRAIN] epoch=22, iter=8130/80000, loss=0.2963, lr=0.009081, batch_cost=0.7625, reader_cost=0.0018 | ETA 15:13:19 2020-12-16 15:58:12 [INFO] [TRAIN] epoch=22, iter=8140/80000, loss=0.4038, lr=0.009080, batch_cost=0.5806, reader_cost=0.0002 | ETA 11:35:22 2020-12-16 15:58:17 [INFO] [TRAIN] epoch=22, iter=8150/80000, loss=0.3409, lr=0.009078, batch_cost=0.5522, reader_cost=0.0001 | ETA 11:01:16 2020-12-16 15:58:23 [INFO] [TRAIN] epoch=22, iter=8160/80000, loss=0.3275, lr=0.009077, batch_cost=0.5659, reader_cost=0.0001 | ETA 11:17:32 2020-12-16 15:58:28 [INFO] [TRAIN] epoch=22, iter=8170/80000, loss=0.3140, lr=0.009076, batch_cost=0.5664, reader_cost=0.0001 | ETA 11:18:07 2020-12-16 15:58:34 [INFO] [TRAIN] epoch=22, iter=8180/80000, loss=0.2735, lr=0.009075, batch_cost=0.5651, reader_cost=0.0008 | ETA 11:16:22 2020-12-16 15:58:42 [INFO] [TRAIN] epoch=23, iter=8190/80000, loss=0.3928, lr=0.009074, batch_cost=0.8177, reader_cost=0.0658 | ETA 16:18:37 2020-12-16 15:58:51 [INFO] [TRAIN] epoch=23, iter=8200/80000, loss=0.2370, lr=0.009073, batch_cost=0.8298, reader_cost=0.0020 | ETA 16:33:02 2020-12-16 15:58:59 [INFO] [TRAIN] epoch=23, iter=8210/80000, loss=0.3780, lr=0.009072, batch_cost=0.8956, reader_cost=0.0008 | ETA 17:51:32 2020-12-16 15:59:07 [INFO] [TRAIN] epoch=23, iter=8220/80000, loss=0.3061, lr=0.009070, batch_cost=0.7855, reader_cost=0.0001 | ETA 15:39:41 2020-12-16 15:59:16 [INFO] [TRAIN] epoch=23, iter=8230/80000, loss=0.2464, lr=0.009069, batch_cost=0.9086, reader_cost=0.0007 | ETA 18:06:50 2020-12-16 15:59:25 [INFO] [TRAIN] epoch=23, iter=8240/80000, loss=0.3569, lr=0.009068, batch_cost=0.8247, reader_cost=0.0015 | ETA 16:26:23 2020-12-16 15:59:32 [INFO] [TRAIN] epoch=23, iter=8250/80000, loss=0.2428, lr=0.009067, batch_cost=0.7550, reader_cost=0.0038 | ETA 15:02:51 2020-12-16 15:59:41 [INFO] [TRAIN] epoch=23, iter=8260/80000, loss=0.3711, lr=0.009066, batch_cost=0.8508, reader_cost=0.0041 | ETA 16:57:15 2020-12-16 15:59:49 [INFO] [TRAIN] epoch=23, iter=8270/80000, loss=0.3048, lr=0.009065, batch_cost=0.7836, reader_cost=0.0021 | ETA 15:36:45 2020-12-16 15:59:56 [INFO] [TRAIN] epoch=23, iter=8280/80000, loss=0.2515, lr=0.009064, batch_cost=0.7766, reader_cost=0.0029 | ETA 15:28:18 2020-12-16 16:00:05 [INFO] [TRAIN] epoch=23, iter=8290/80000, loss=0.2558, lr=0.009062, batch_cost=0.8650, reader_cost=0.0015 | ETA 17:13:48 2020-12-16 16:00:13 [INFO] [TRAIN] epoch=23, iter=8300/80000, loss=0.2870, lr=0.009061, batch_cost=0.8189, reader_cost=0.0009 | ETA 16:18:34 2020-12-16 16:00:22 [INFO] [TRAIN] epoch=23, iter=8310/80000, loss=0.2543, lr=0.009060, batch_cost=0.9314, reader_cost=0.0070 | ETA 18:32:51 2020-12-16 16:00:30 [INFO] [TRAIN] epoch=23, iter=8320/80000, loss=0.2254, lr=0.009059, batch_cost=0.7677, reader_cost=0.0007 | ETA 15:17:08 2020-12-16 16:00:38 [INFO] [TRAIN] epoch=23, iter=8330/80000, loss=0.2907, lr=0.009058, batch_cost=0.7980, reader_cost=0.0001 | ETA 15:53:15 2020-12-16 16:00:45 [INFO] [TRAIN] epoch=23, iter=8340/80000, loss=0.3251, lr=0.009057, batch_cost=0.7249, reader_cost=0.0001 | ETA 14:25:47 2020-12-16 16:00:53 [INFO] [TRAIN] epoch=23, iter=8350/80000, loss=0.2325, lr=0.009056, batch_cost=0.7797, reader_cost=0.0021 | ETA 15:31:04 2020-12-16 16:01:02 [INFO] [TRAIN] epoch=23, iter=8360/80000, loss=0.2788, lr=0.009055, batch_cost=0.8992, reader_cost=0.0037 | ETA 17:53:39 2020-12-16 16:01:10 [INFO] [TRAIN] epoch=23, iter=8370/80000, loss=0.2596, lr=0.009053, batch_cost=0.8246, reader_cost=0.0004 | ETA 16:24:28 2020-12-16 16:01:20 [INFO] [TRAIN] epoch=23, iter=8380/80000, loss=0.2044, lr=0.009052, batch_cost=0.9336, reader_cost=0.0014 | ETA 18:34:23 2020-12-16 16:01:29 [INFO] [TRAIN] epoch=23, iter=8390/80000, loss=0.3699, lr=0.009051, batch_cost=0.9184, reader_cost=0.0002 | ETA 18:16:09 2020-12-16 16:01:37 [INFO] [TRAIN] epoch=23, iter=8400/80000, loss=0.2820, lr=0.009050, batch_cost=0.8420, reader_cost=0.0008 | ETA 16:44:45 2020-12-16 16:01:46 [INFO] [TRAIN] epoch=23, iter=8410/80000, loss=0.3422, lr=0.009049, batch_cost=0.8123, reader_cost=0.0038 | ETA 16:09:14 2020-12-16 16:01:54 [INFO] [TRAIN] epoch=23, iter=8420/80000, loss=0.1817, lr=0.009048, batch_cost=0.8893, reader_cost=0.0020 | ETA 17:40:59 2020-12-16 16:02:04 [INFO] [TRAIN] epoch=23, iter=8430/80000, loss=0.2564, lr=0.009047, batch_cost=0.9226, reader_cost=0.0029 | ETA 18:20:27 2020-12-16 16:02:12 [INFO] [TRAIN] epoch=23, iter=8440/80000, loss=0.3209, lr=0.009045, batch_cost=0.8574, reader_cost=0.0007 | ETA 17:02:35 2020-12-16 16:02:21 [INFO] [TRAIN] epoch=23, iter=8450/80000, loss=0.3427, lr=0.009044, batch_cost=0.8542, reader_cost=0.0031 | ETA 16:58:41 2020-12-16 16:02:29 [INFO] [TRAIN] epoch=23, iter=8460/80000, loss=0.2334, lr=0.009043, batch_cost=0.8361, reader_cost=0.0001 | ETA 16:36:53 2020-12-16 16:02:38 [INFO] [TRAIN] epoch=23, iter=8470/80000, loss=0.2824, lr=0.009042, batch_cost=0.8706, reader_cost=0.0005 | ETA 17:17:53 2020-12-16 16:02:46 [INFO] [TRAIN] epoch=23, iter=8480/80000, loss=0.2803, lr=0.009041, batch_cost=0.7821, reader_cost=0.0006 | ETA 15:32:14 2020-12-16 16:02:55 [INFO] [TRAIN] epoch=23, iter=8490/80000, loss=0.2271, lr=0.009040, batch_cost=0.8788, reader_cost=0.0002 | ETA 17:27:22 2020-12-16 16:03:03 [INFO] [TRAIN] epoch=23, iter=8500/80000, loss=0.2503, lr=0.009039, batch_cost=0.8920, reader_cost=0.0042 | ETA 17:43:00 2020-12-16 16:03:11 [INFO] [TRAIN] epoch=23, iter=8510/80000, loss=0.2456, lr=0.009037, batch_cost=0.7038, reader_cost=0.0006 | ETA 13:58:32 2020-12-16 16:03:16 [INFO] [TRAIN] epoch=23, iter=8520/80000, loss=0.1608, lr=0.009036, batch_cost=0.5646, reader_cost=0.0001 | ETA 11:12:35 2020-12-16 16:03:22 [INFO] [TRAIN] epoch=23, iter=8530/80000, loss=0.3722, lr=0.009035, batch_cost=0.5560, reader_cost=0.0003 | ETA 11:02:17 2020-12-16 16:03:27 [INFO] [TRAIN] epoch=23, iter=8540/80000, loss=0.2446, lr=0.009034, batch_cost=0.5636, reader_cost=0.0001 | ETA 11:11:14 2020-12-16 16:03:33 [INFO] [TRAIN] epoch=23, iter=8550/80000, loss=0.2244, lr=0.009033, batch_cost=0.5662, reader_cost=0.0006 | ETA 11:14:13 2020-12-16 16:03:40 [INFO] [TRAIN] epoch=24, iter=8560/80000, loss=0.1801, lr=0.009032, batch_cost=0.7032, reader_cost=0.0833 | ETA 13:57:18 2020-12-16 16:03:49 [INFO] [TRAIN] epoch=24, iter=8570/80000, loss=0.3146, lr=0.009031, batch_cost=0.8514, reader_cost=0.0351 | ETA 16:53:33 2020-12-16 16:03:57 [INFO] [TRAIN] epoch=24, iter=8580/80000, loss=0.3094, lr=0.009029, batch_cost=0.8845, reader_cost=0.0028 | ETA 17:32:47 2020-12-16 16:04:05 [INFO] [TRAIN] epoch=24, iter=8590/80000, loss=0.2614, lr=0.009028, batch_cost=0.7735, reader_cost=0.0002 | ETA 15:20:36 2020-12-16 16:04:13 [INFO] [TRAIN] epoch=24, iter=8600/80000, loss=0.2456, lr=0.009027, batch_cost=0.7899, reader_cost=0.0041 | ETA 15:39:57 2020-12-16 16:04:22 [INFO] [TRAIN] epoch=24, iter=8610/80000, loss=0.2363, lr=0.009026, batch_cost=0.8485, reader_cost=0.0025 | ETA 16:49:32 2020-12-16 16:04:30 [INFO] [TRAIN] epoch=24, iter=8620/80000, loss=0.3177, lr=0.009025, batch_cost=0.8961, reader_cost=0.0001 | ETA 17:46:06 2020-12-16 16:04:38 [INFO] [TRAIN] epoch=24, iter=8630/80000, loss=0.2989, lr=0.009024, batch_cost=0.7973, reader_cost=0.0001 | ETA 15:48:24 2020-12-16 16:04:47 [INFO] [TRAIN] epoch=24, iter=8640/80000, loss=0.4479, lr=0.009023, batch_cost=0.8346, reader_cost=0.0003 | ETA 16:32:34 2020-12-16 16:04:56 [INFO] [TRAIN] epoch=24, iter=8650/80000, loss=0.2836, lr=0.009022, batch_cost=0.9323, reader_cost=0.0056 | ETA 18:28:37 2020-12-16 16:05:05 [INFO] [TRAIN] epoch=24, iter=8660/80000, loss=0.3574, lr=0.009020, batch_cost=0.8911, reader_cost=0.0010 | ETA 17:39:33 2020-12-16 16:05:14 [INFO] [TRAIN] epoch=24, iter=8670/80000, loss=0.2305, lr=0.009019, batch_cost=0.9041, reader_cost=0.0044 | ETA 17:54:51 2020-12-16 16:05:22 [INFO] [TRAIN] epoch=24, iter=8680/80000, loss=0.2806, lr=0.009018, batch_cost=0.8146, reader_cost=0.0073 | ETA 16:08:16 2020-12-16 16:05:30 [INFO] [TRAIN] epoch=24, iter=8690/80000, loss=0.2081, lr=0.009017, batch_cost=0.8221, reader_cost=0.0040 | ETA 16:17:04 2020-12-16 16:05:39 [INFO] [TRAIN] epoch=24, iter=8700/80000, loss=0.3193, lr=0.009016, batch_cost=0.8668, reader_cost=0.0029 | ETA 17:10:00 2020-12-16 16:05:47 [INFO] [TRAIN] epoch=24, iter=8710/80000, loss=0.2707, lr=0.009015, batch_cost=0.8338, reader_cost=0.0013 | ETA 16:30:39 2020-12-16 16:05:55 [INFO] [TRAIN] epoch=24, iter=8720/80000, loss=0.2561, lr=0.009014, batch_cost=0.7910, reader_cost=0.0031 | ETA 15:39:44 2020-12-16 16:06:03 [INFO] [TRAIN] epoch=24, iter=8730/80000, loss=0.2236, lr=0.009012, batch_cost=0.7652, reader_cost=0.0017 | ETA 15:08:57 2020-12-16 16:06:11 [INFO] [TRAIN] epoch=24, iter=8740/80000, loss=0.4410, lr=0.009011, batch_cost=0.8382, reader_cost=0.0004 | ETA 16:35:32 2020-12-16 16:06:20 [INFO] [TRAIN] epoch=24, iter=8750/80000, loss=0.3506, lr=0.009010, batch_cost=0.8151, reader_cost=0.0020 | ETA 16:07:56 2020-12-16 16:06:28 [INFO] [TRAIN] epoch=24, iter=8760/80000, loss=0.2784, lr=0.009009, batch_cost=0.8637, reader_cost=0.0008 | ETA 17:05:31 2020-12-16 16:06:36 [INFO] [TRAIN] epoch=24, iter=8770/80000, loss=0.2049, lr=0.009008, batch_cost=0.8271, reader_cost=0.0001 | ETA 16:21:53 2020-12-16 16:06:45 [INFO] [TRAIN] epoch=24, iter=8780/80000, loss=0.3189, lr=0.009007, batch_cost=0.8501, reader_cost=0.0009 | ETA 16:49:02 2020-12-16 16:06:53 [INFO] [TRAIN] epoch=24, iter=8790/80000, loss=0.4698, lr=0.009006, batch_cost=0.8143, reader_cost=0.0001 | ETA 16:06:23 2020-12-16 16:07:01 [INFO] [TRAIN] epoch=24, iter=8800/80000, loss=0.3008, lr=0.009004, batch_cost=0.7987, reader_cost=0.0020 | ETA 15:47:45 2020-12-16 16:07:10 [INFO] [TRAIN] epoch=24, iter=8810/80000, loss=0.3856, lr=0.009003, batch_cost=0.8938, reader_cost=0.0047 | ETA 17:40:29 2020-12-16 16:07:18 [INFO] [TRAIN] epoch=24, iter=8820/80000, loss=0.2730, lr=0.009002, batch_cost=0.7768, reader_cost=0.0017 | ETA 15:21:29 2020-12-16 16:07:26 [INFO] [TRAIN] epoch=24, iter=8830/80000, loss=0.3040, lr=0.009001, batch_cost=0.8366, reader_cost=0.0002 | ETA 16:32:20 2020-12-16 16:07:35 [INFO] [TRAIN] epoch=24, iter=8840/80000, loss=0.2422, lr=0.009000, batch_cost=0.8639, reader_cost=0.0038 | ETA 17:04:38 2020-12-16 16:07:43 [INFO] [TRAIN] epoch=24, iter=8850/80000, loss=0.3237, lr=0.008999, batch_cost=0.7911, reader_cost=0.0018 | ETA 15:38:09 2020-12-16 16:07:50 [INFO] [TRAIN] epoch=24, iter=8860/80000, loss=0.3091, lr=0.008998, batch_cost=0.7510, reader_cost=0.0014 | ETA 14:50:27 2020-12-16 16:07:59 [INFO] [TRAIN] epoch=24, iter=8870/80000, loss=0.2366, lr=0.008996, batch_cost=0.8476, reader_cost=0.0001 | ETA 16:44:49 2020-12-16 16:08:05 [INFO] [TRAIN] epoch=24, iter=8880/80000, loss=0.2346, lr=0.008995, batch_cost=0.6626, reader_cost=0.0001 | ETA 13:05:26 2020-12-16 16:08:11 [INFO] [TRAIN] epoch=24, iter=8890/80000, loss=0.2817, lr=0.008994, batch_cost=0.5521, reader_cost=0.0001 | ETA 10:54:18 2020-12-16 16:08:17 [INFO] [TRAIN] epoch=24, iter=8900/80000, loss=0.2468, lr=0.008993, batch_cost=0.5735, reader_cost=0.0001 | ETA 11:19:32 2020-12-16 16:08:22 [INFO] [TRAIN] epoch=24, iter=8910/80000, loss=0.2457, lr=0.008992, batch_cost=0.5538, reader_cost=0.0001 | ETA 10:56:11 2020-12-16 16:08:28 [INFO] [TRAIN] epoch=24, iter=8920/80000, loss=0.3191, lr=0.008991, batch_cost=0.5703, reader_cost=0.0001 | ETA 11:15:34 2020-12-16 16:08:34 [INFO] [TRAIN] epoch=25, iter=8930/80000, loss=0.3089, lr=0.008990, batch_cost=0.6289, reader_cost=0.0687 | ETA 12:24:53 2020-12-16 16:08:43 [INFO] [TRAIN] epoch=25, iter=8940/80000, loss=0.3649, lr=0.008988, batch_cost=0.8828, reader_cost=0.0117 | ETA 17:25:34 2020-12-16 16:08:52 [INFO] [TRAIN] epoch=25, iter=8950/80000, loss=0.1684, lr=0.008987, batch_cost=0.8658, reader_cost=0.0007 | ETA 17:05:16 2020-12-16 16:08:59 [INFO] [TRAIN] epoch=25, iter=8960/80000, loss=0.2691, lr=0.008986, batch_cost=0.7736, reader_cost=0.0005 | ETA 15:15:59 2020-12-16 16:09:07 [INFO] [TRAIN] epoch=25, iter=8970/80000, loss=0.3479, lr=0.008985, batch_cost=0.7576, reader_cost=0.0007 | ETA 14:56:49 2020-12-16 16:09:15 [INFO] [TRAIN] epoch=25, iter=8980/80000, loss=0.3139, lr=0.008984, batch_cost=0.8200, reader_cost=0.0013 | ETA 16:10:38 2020-12-16 16:09:22 [INFO] [TRAIN] epoch=25, iter=8990/80000, loss=0.2044, lr=0.008983, batch_cost=0.7167, reader_cost=0.0004 | ETA 14:08:13 2020-12-16 16:09:31 [INFO] [TRAIN] epoch=25, iter=9000/80000, loss=0.2587, lr=0.008982, batch_cost=0.8617, reader_cost=0.0003 | ETA 16:59:41 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 16:09:31 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 16:10:14 [INFO] [EVAL] #Images=500 mIoU=0.6953 Acc=0.9439 Kappa=0.9272 2020-12-16 16:10:14 [INFO] [EVAL] Class IoU: [0.9691 0.7896 0.8993 0.2553 0.4836 0.5326 0.637 0.7133 0.9053 0.5698 0.9099 0.7618 0.5221 0.9202 0.6299 0.7648 0.6624 0.5612 0.7234] 2020-12-16 16:10:14 [INFO] [EVAL] Class Acc: [0.9907 0.8565 0.9359 0.8702 0.7376 0.739 0.7455 0.8112 0.9392 0.7264 0.9761 0.8673 0.6437 0.9599 0.6986 0.8674 0.7943 0.7483 0.7909] 2020-12-16 16:10:19 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 16:10:27 [INFO] [TRAIN] epoch=25, iter=9010/80000, loss=0.2732, lr=0.008981, batch_cost=0.7930, reader_cost=0.0027 | ETA 15:38:15 2020-12-16 16:10:35 [INFO] [TRAIN] epoch=25, iter=9020/80000, loss=0.2193, lr=0.008979, batch_cost=0.7744, reader_cost=0.0001 | ETA 15:16:03 2020-12-16 16:10:42 [INFO] [TRAIN] epoch=25, iter=9030/80000, loss=0.2643, lr=0.008978, batch_cost=0.7894, reader_cost=0.0013 | ETA 15:33:40 2020-12-16 16:10:50 [INFO] [TRAIN] epoch=25, iter=9040/80000, loss=0.3783, lr=0.008977, batch_cost=0.7336, reader_cost=0.0005 | ETA 14:27:37 2020-12-16 16:10:57 [INFO] [TRAIN] epoch=25, iter=9050/80000, loss=0.2457, lr=0.008976, batch_cost=0.7457, reader_cost=0.0022 | ETA 14:41:49 2020-12-16 16:11:05 [INFO] [TRAIN] epoch=25, iter=9060/80000, loss=0.2919, lr=0.008975, batch_cost=0.7859, reader_cost=0.0025 | ETA 15:29:15 2020-12-16 16:11:14 [INFO] [TRAIN] epoch=25, iter=9070/80000, loss=0.2951, lr=0.008974, batch_cost=0.9055, reader_cost=0.0001 | ETA 17:50:28 2020-12-16 16:11:21 [INFO] [TRAIN] epoch=25, iter=9080/80000, loss=0.2974, lr=0.008973, batch_cost=0.7237, reader_cost=0.0013 | ETA 14:15:27 2020-12-16 16:11:30 [INFO] [TRAIN] epoch=25, iter=9090/80000, loss=0.2319, lr=0.008971, batch_cost=0.8261, reader_cost=0.0049 | ETA 16:16:18 2020-12-16 16:11:38 [INFO] [TRAIN] epoch=25, iter=9100/80000, loss=0.2202, lr=0.008970, batch_cost=0.8525, reader_cost=0.0020 | ETA 16:47:24 2020-12-16 16:11:45 [INFO] [TRAIN] epoch=25, iter=9110/80000, loss=0.3082, lr=0.008969, batch_cost=0.7284, reader_cost=0.0018 | ETA 14:20:35 2020-12-16 16:11:53 [INFO] [TRAIN] epoch=25, iter=9120/80000, loss=0.2810, lr=0.008968, batch_cost=0.7608, reader_cost=0.0033 | ETA 14:58:48 2020-12-16 16:12:00 [INFO] [TRAIN] epoch=25, iter=9130/80000, loss=0.2788, lr=0.008967, batch_cost=0.6776, reader_cost=0.0027 | ETA 13:20:18 2020-12-16 16:12:07 [INFO] [TRAIN] epoch=25, iter=9140/80000, loss=0.3501, lr=0.008966, batch_cost=0.6925, reader_cost=0.0024 | ETA 13:37:47 2020-12-16 16:12:15 [INFO] [TRAIN] epoch=25, iter=9150/80000, loss=0.3335, lr=0.008965, batch_cost=0.8231, reader_cost=0.0011 | ETA 16:11:57 2020-12-16 16:12:23 [INFO] [TRAIN] epoch=25, iter=9160/80000, loss=0.2879, lr=0.008963, batch_cost=0.7956, reader_cost=0.0002 | ETA 15:39:21 2020-12-16 16:12:30 [INFO] [TRAIN] epoch=25, iter=9170/80000, loss=0.2013, lr=0.008962, batch_cost=0.7190, reader_cost=0.0049 | ETA 14:08:47 2020-12-16 16:12:38 [INFO] [TRAIN] epoch=25, iter=9180/80000, loss=0.2043, lr=0.008961, batch_cost=0.7900, reader_cost=0.0001 | ETA 15:32:26 2020-12-16 16:12:46 [INFO] [TRAIN] epoch=25, iter=9190/80000, loss=0.2612, lr=0.008960, batch_cost=0.7653, reader_cost=0.0005 | ETA 15:03:10 2020-12-16 16:12:53 [INFO] [TRAIN] epoch=25, iter=9200/80000, loss=0.3728, lr=0.008959, batch_cost=0.7742, reader_cost=0.0006 | ETA 15:13:34 2020-12-16 16:12:59 [INFO] [TRAIN] epoch=25, iter=9210/80000, loss=0.3055, lr=0.008958, batch_cost=0.5234, reader_cost=0.0001 | ETA 10:17:32 2020-12-16 16:13:05 [INFO] [TRAIN] epoch=25, iter=9220/80000, loss=0.3269, lr=0.008957, batch_cost=0.5808, reader_cost=0.0001 | ETA 11:25:05 2020-12-16 16:13:10 [INFO] [TRAIN] epoch=25, iter=9230/80000, loss=0.4131, lr=0.008955, batch_cost=0.5459, reader_cost=0.0001 | ETA 10:43:51 2020-12-16 16:13:16 [INFO] [TRAIN] epoch=25, iter=9240/80000, loss=0.2068, lr=0.008954, batch_cost=0.5585, reader_cost=0.0001 | ETA 10:58:39 2020-12-16 16:13:21 [INFO] [TRAIN] epoch=25, iter=9250/80000, loss=0.3231, lr=0.008953, batch_cost=0.5726, reader_cost=0.0001 | ETA 11:15:08 2020-12-16 16:13:28 [INFO] [TRAIN] epoch=25, iter=9260/80000, loss=0.2549, lr=0.008952, batch_cost=0.7018, reader_cost=0.0031 | ETA 13:47:24 2020-12-16 16:13:36 [INFO] [TRAIN] epoch=25, iter=9270/80000, loss=0.2486, lr=0.008951, batch_cost=0.7614, reader_cost=0.0030 | ETA 14:57:35 2020-12-16 16:13:45 [INFO] [TRAIN] epoch=25, iter=9280/80000, loss=0.3454, lr=0.008950, batch_cost=0.8686, reader_cost=0.0091 | ETA 17:03:48 2020-12-16 16:13:54 [INFO] [TRAIN] epoch=25, iter=9290/80000, loss=0.2283, lr=0.008949, batch_cost=0.9200, reader_cost=0.0010 | ETA 18:04:10 2020-12-16 16:14:01 [INFO] [TRAIN] epoch=25, iter=9300/80000, loss=0.2077, lr=0.008948, batch_cost=0.7265, reader_cost=0.0013 | ETA 14:16:01 2020-12-16 16:14:10 [INFO] [TRAIN] epoch=26, iter=9310/80000, loss=0.3333, lr=0.008946, batch_cost=0.9372, reader_cost=0.0629 | ETA 18:24:13 2020-12-16 16:14:19 [INFO] [TRAIN] epoch=26, iter=9320/80000, loss=0.3586, lr=0.008945, batch_cost=0.8109, reader_cost=0.0028 | ETA 15:55:15 2020-12-16 16:14:27 [INFO] [TRAIN] epoch=26, iter=9330/80000, loss=0.2273, lr=0.008944, batch_cost=0.8809, reader_cost=0.0015 | ETA 17:17:33 2020-12-16 16:14:36 [INFO] [TRAIN] epoch=26, iter=9340/80000, loss=0.2282, lr=0.008943, batch_cost=0.8396, reader_cost=0.0021 | ETA 16:28:43 2020-12-16 16:14:44 [INFO] [TRAIN] epoch=26, iter=9350/80000, loss=0.2922, lr=0.008942, batch_cost=0.8596, reader_cost=0.0001 | ETA 16:52:09 2020-12-16 16:14:52 [INFO] [TRAIN] epoch=26, iter=9360/80000, loss=0.2839, lr=0.008941, batch_cost=0.7807, reader_cost=0.0024 | ETA 15:19:07 2020-12-16 16:15:00 [INFO] [TRAIN] epoch=26, iter=9370/80000, loss=0.3391, lr=0.008940, batch_cost=0.7885, reader_cost=0.0007 | ETA 15:28:09 2020-12-16 16:15:07 [INFO] [TRAIN] epoch=26, iter=9380/80000, loss=0.2221, lr=0.008938, batch_cost=0.7409, reader_cost=0.0003 | ETA 14:32:05 2020-12-16 16:15:16 [INFO] [TRAIN] epoch=26, iter=9390/80000, loss=0.3013, lr=0.008937, batch_cost=0.8546, reader_cost=0.0021 | ETA 16:45:42 2020-12-16 16:15:25 [INFO] [TRAIN] epoch=26, iter=9400/80000, loss=0.2501, lr=0.008936, batch_cost=0.8477, reader_cost=0.0011 | ETA 16:37:24 2020-12-16 16:15:32 [INFO] [TRAIN] epoch=26, iter=9410/80000, loss=0.2810, lr=0.008935, batch_cost=0.7911, reader_cost=0.0014 | ETA 15:30:43 2020-12-16 16:15:41 [INFO] [TRAIN] epoch=26, iter=9420/80000, loss=0.2489, lr=0.008934, batch_cost=0.8442, reader_cost=0.0017 | ETA 16:33:02 2020-12-16 16:15:50 [INFO] [TRAIN] epoch=26, iter=9430/80000, loss=0.3761, lr=0.008933, batch_cost=0.8932, reader_cost=0.0002 | ETA 17:30:34 2020-12-16 16:15:59 [INFO] [TRAIN] epoch=26, iter=9440/80000, loss=0.3395, lr=0.008932, batch_cost=0.8760, reader_cost=0.0015 | ETA 17:10:10 2020-12-16 16:16:09 [INFO] [TRAIN] epoch=26, iter=9450/80000, loss=0.3387, lr=0.008930, batch_cost=1.0168, reader_cost=0.0046 | ETA 19:55:33 2020-12-16 16:16:19 [INFO] [TRAIN] epoch=26, iter=9460/80000, loss=0.2885, lr=0.008929, batch_cost=1.0492, reader_cost=0.0008 | ETA 20:33:32 2020-12-16 16:16:29 [INFO] [TRAIN] epoch=26, iter=9470/80000, loss=0.2973, lr=0.008928, batch_cost=0.9630, reader_cost=0.0013 | ETA 18:52:01 2020-12-16 16:16:38 [INFO] [TRAIN] epoch=26, iter=9480/80000, loss=0.1994, lr=0.008927, batch_cost=0.9178, reader_cost=0.0024 | ETA 17:58:42 2020-12-16 16:16:47 [INFO] [TRAIN] epoch=26, iter=9490/80000, loss=0.2686, lr=0.008926, batch_cost=0.9023, reader_cost=0.0005 | ETA 17:40:18 2020-12-16 16:16:56 [INFO] [TRAIN] epoch=26, iter=9500/80000, loss=0.2854, lr=0.008925, batch_cost=0.9293, reader_cost=0.0001 | ETA 18:11:57 2020-12-16 16:17:04 [INFO] [TRAIN] epoch=26, iter=9510/80000, loss=0.3094, lr=0.008924, batch_cost=0.7923, reader_cost=0.0030 | ETA 15:30:49 2020-12-16 16:17:12 [INFO] [TRAIN] epoch=26, iter=9520/80000, loss=0.2170, lr=0.008922, batch_cost=0.7797, reader_cost=0.0001 | ETA 15:15:55 2020-12-16 16:17:21 [INFO] [TRAIN] epoch=26, iter=9530/80000, loss=0.2508, lr=0.008921, batch_cost=0.8842, reader_cost=0.0048 | ETA 17:18:28 2020-12-16 16:17:29 [INFO] [TRAIN] epoch=26, iter=9540/80000, loss=0.2836, lr=0.008920, batch_cost=0.8174, reader_cost=0.0014 | ETA 15:59:55 2020-12-16 16:17:37 [INFO] [TRAIN] epoch=26, iter=9550/80000, loss=0.2578, lr=0.008919, batch_cost=0.8160, reader_cost=0.0001 | ETA 15:58:09 2020-12-16 16:17:46 [INFO] [TRAIN] epoch=26, iter=9560/80000, loss=0.2191, lr=0.008918, batch_cost=0.9044, reader_cost=0.0003 | ETA 17:41:48 2020-12-16 16:17:54 [INFO] [TRAIN] epoch=26, iter=9570/80000, loss=0.2874, lr=0.008917, batch_cost=0.8066, reader_cost=0.0027 | ETA 15:46:45 2020-12-16 16:18:01 [INFO] [TRAIN] epoch=26, iter=9580/80000, loss=0.3912, lr=0.008916, batch_cost=0.7084, reader_cost=0.0028 | ETA 13:51:26 2020-12-16 16:18:07 [INFO] [TRAIN] epoch=26, iter=9590/80000, loss=0.2646, lr=0.008914, batch_cost=0.5261, reader_cost=0.0001 | ETA 10:17:23 2020-12-16 16:18:13 [INFO] [TRAIN] epoch=26, iter=9600/80000, loss=0.2362, lr=0.008913, batch_cost=0.5867, reader_cost=0.0001 | ETA 11:28:25 2020-12-16 16:18:18 [INFO] [TRAIN] epoch=26, iter=9610/80000, loss=0.2990, lr=0.008912, batch_cost=0.5378, reader_cost=0.0003 | ETA 10:30:52 2020-12-16 16:18:23 [INFO] [TRAIN] epoch=26, iter=9620/80000, loss=0.3040, lr=0.008911, batch_cost=0.5460, reader_cost=0.0001 | ETA 10:40:26 2020-12-16 16:18:29 [INFO] [TRAIN] epoch=26, iter=9630/80000, loss=0.2068, lr=0.008910, batch_cost=0.5815, reader_cost=0.0009 | ETA 11:21:57 2020-12-16 16:18:37 [INFO] [TRAIN] epoch=26, iter=9640/80000, loss=0.3134, lr=0.008909, batch_cost=0.7383, reader_cost=0.0021 | ETA 14:25:49 2020-12-16 16:18:44 [INFO] [TRAIN] epoch=26, iter=9650/80000, loss=0.2252, lr=0.008908, batch_cost=0.7294, reader_cost=0.0001 | ETA 14:15:15 2020-12-16 16:18:52 [INFO] [TRAIN] epoch=26, iter=9660/80000, loss=0.1607, lr=0.008906, batch_cost=0.7646, reader_cost=0.0024 | ETA 14:56:18 2020-12-16 16:18:59 [INFO] [TRAIN] epoch=26, iter=9670/80000, loss=0.2584, lr=0.008905, batch_cost=0.7133, reader_cost=0.0032 | ETA 13:56:02 2020-12-16 16:19:07 [INFO] [TRAIN] epoch=27, iter=9680/80000, loss=0.2459, lr=0.008904, batch_cost=0.8233, reader_cost=0.0596 | ETA 16:04:55 2020-12-16 16:19:14 [INFO] [TRAIN] epoch=27, iter=9690/80000, loss=0.2283, lr=0.008903, batch_cost=0.7088, reader_cost=0.0001 | ETA 13:50:36 2020-12-16 16:19:22 [INFO] [TRAIN] epoch=27, iter=9700/80000, loss=0.2834, lr=0.008902, batch_cost=0.7898, reader_cost=0.0031 | ETA 15:25:24 2020-12-16 16:19:30 [INFO] [TRAIN] epoch=27, iter=9710/80000, loss=0.1751, lr=0.008901, batch_cost=0.8265, reader_cost=0.0004 | ETA 16:08:12 2020-12-16 16:19:37 [INFO] [TRAIN] epoch=27, iter=9720/80000, loss=0.1984, lr=0.008900, batch_cost=0.7034, reader_cost=0.0013 | ETA 13:43:57 2020-12-16 16:19:46 [INFO] [TRAIN] epoch=27, iter=9730/80000, loss=0.2471, lr=0.008899, batch_cost=0.9234, reader_cost=0.0004 | ETA 18:01:26 2020-12-16 16:19:54 [INFO] [TRAIN] epoch=27, iter=9740/80000, loss=0.3679, lr=0.008897, batch_cost=0.7638, reader_cost=0.0021 | ETA 14:54:23 2020-12-16 16:20:02 [INFO] [TRAIN] epoch=27, iter=9750/80000, loss=0.2746, lr=0.008896, batch_cost=0.7409, reader_cost=0.0001 | ETA 14:27:27 2020-12-16 16:20:07 [INFO] [TRAIN] epoch=27, iter=9760/80000, loss=0.2951, lr=0.008895, batch_cost=0.5301, reader_cost=0.0004 | ETA 10:20:33 2020-12-16 16:20:12 [INFO] [TRAIN] epoch=27, iter=9770/80000, loss=0.2939, lr=0.008894, batch_cost=0.5361, reader_cost=0.0001 | ETA 10:27:30 2020-12-16 16:20:18 [INFO] [TRAIN] epoch=27, iter=9780/80000, loss=0.2861, lr=0.008893, batch_cost=0.5563, reader_cost=0.0002 | ETA 10:51:01 2020-12-16 16:20:23 [INFO] [TRAIN] epoch=27, iter=9790/80000, loss=0.3061, lr=0.008892, batch_cost=0.5526, reader_cost=0.0004 | ETA 10:46:35 2020-12-16 16:20:29 [INFO] [TRAIN] epoch=27, iter=9800/80000, loss=0.2376, lr=0.008891, batch_cost=0.5495, reader_cost=0.0001 | ETA 10:42:54 2020-12-16 16:20:34 [INFO] [TRAIN] epoch=27, iter=9810/80000, loss=0.2155, lr=0.008889, batch_cost=0.5432, reader_cost=0.0001 | ETA 10:35:28 2020-12-16 16:20:40 [INFO] [TRAIN] epoch=27, iter=9820/80000, loss=0.2806, lr=0.008888, batch_cost=0.5726, reader_cost=0.0004 | ETA 11:09:41 2020-12-16 16:20:49 [INFO] [TRAIN] epoch=27, iter=9830/80000, loss=0.3020, lr=0.008887, batch_cost=0.8574, reader_cost=0.0017 | ETA 16:42:41 2020-12-16 16:20:57 [INFO] [TRAIN] epoch=27, iter=9840/80000, loss=0.2390, lr=0.008886, batch_cost=0.8208, reader_cost=0.0003 | ETA 15:59:47 2020-12-16 16:21:04 [INFO] [TRAIN] epoch=27, iter=9850/80000, loss=0.2084, lr=0.008885, batch_cost=0.7723, reader_cost=0.0001 | ETA 15:02:56 2020-12-16 16:21:12 [INFO] [TRAIN] epoch=27, iter=9860/80000, loss=0.2784, lr=0.008884, batch_cost=0.8014, reader_cost=0.0032 | ETA 15:36:52 2020-12-16 16:21:20 [INFO] [TRAIN] epoch=27, iter=9870/80000, loss=0.2590, lr=0.008883, batch_cost=0.7600, reader_cost=0.0008 | ETA 14:48:22 2020-12-16 16:21:29 [INFO] [TRAIN] epoch=27, iter=9880/80000, loss=0.2366, lr=0.008881, batch_cost=0.8577, reader_cost=0.0003 | ETA 16:42:23 2020-12-16 16:21:37 [INFO] [TRAIN] epoch=27, iter=9890/80000, loss=0.3091, lr=0.008880, batch_cost=0.7873, reader_cost=0.0001 | ETA 15:19:55 2020-12-16 16:21:45 [INFO] [TRAIN] epoch=27, iter=9900/80000, loss=0.2921, lr=0.008879, batch_cost=0.8077, reader_cost=0.0010 | ETA 15:43:39 2020-12-16 16:21:53 [INFO] [TRAIN] epoch=27, iter=9910/80000, loss=0.2154, lr=0.008878, batch_cost=0.8185, reader_cost=0.0006 | ETA 15:56:08 2020-12-16 16:22:01 [INFO] [TRAIN] epoch=27, iter=9920/80000, loss=0.2623, lr=0.008877, batch_cost=0.8256, reader_cost=0.0001 | ETA 16:04:20 2020-12-16 16:22:09 [INFO] [TRAIN] epoch=27, iter=9930/80000, loss=0.1974, lr=0.008876, batch_cost=0.7817, reader_cost=0.0008 | ETA 15:12:51 2020-12-16 16:22:17 [INFO] [TRAIN] epoch=27, iter=9940/80000, loss=0.2481, lr=0.008875, batch_cost=0.8026, reader_cost=0.0016 | ETA 15:37:09 2020-12-16 16:22:25 [INFO] [TRAIN] epoch=27, iter=9950/80000, loss=0.3156, lr=0.008873, batch_cost=0.7996, reader_cost=0.0038 | ETA 15:33:35 2020-12-16 16:22:33 [INFO] [TRAIN] epoch=27, iter=9960/80000, loss=0.3736, lr=0.008872, batch_cost=0.7916, reader_cost=0.0010 | ETA 15:24:06 2020-12-16 16:22:41 [INFO] [TRAIN] epoch=27, iter=9970/80000, loss=0.2805, lr=0.008871, batch_cost=0.8487, reader_cost=0.0001 | ETA 16:30:33 2020-12-16 16:22:49 [INFO] [TRAIN] epoch=27, iter=9980/80000, loss=0.2292, lr=0.008870, batch_cost=0.7893, reader_cost=0.0014 | ETA 15:21:09 2020-12-16 16:22:58 [INFO] [TRAIN] epoch=27, iter=9990/80000, loss=0.2662, lr=0.008869, batch_cost=0.8835, reader_cost=0.0010 | ETA 17:10:57 2020-12-16 16:23:05 [INFO] [TRAIN] epoch=27, iter=10000/80000, loss=0.3263, lr=0.008868, batch_cost=0.7200, reader_cost=0.0010 | ETA 14:00:00 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 16:23:05 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 16:23:43 [INFO] [EVAL] #Images=500 mIoU=0.6586 Acc=0.9457 Kappa=0.9293 2020-12-16 16:23:43 [INFO] [EVAL] Class IoU: [0.9724 0.7963 0.9003 0.3685 0.5193 0.5131 0.6481 0.7129 0.9113 0.5705 0.9323 0.7226 0.4415 0.9206 0.5701 0.6326 0.4028 0.2637 0.714 ] 2020-12-16 16:23:43 [INFO] [EVAL] Class Acc: [0.9836 0.9025 0.9302 0.7698 0.7182 0.7491 0.7957 0.9074 0.9508 0.8543 0.9536 0.7893 0.7377 0.9525 0.9393 0.9226 0.4378 0.8969 0.8638] 2020-12-16 16:23:48 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 16:23:54 [INFO] [TRAIN] epoch=27, iter=10010/80000, loss=0.3141, lr=0.008867, batch_cost=0.5927, reader_cost=0.0002 | ETA 11:31:25 2020-12-16 16:24:02 [INFO] [TRAIN] epoch=27, iter=10020/80000, loss=0.2235, lr=0.008865, batch_cost=0.8069, reader_cost=0.0028 | ETA 15:41:03 2020-12-16 16:24:12 [INFO] [TRAIN] epoch=27, iter=10030/80000, loss=0.3151, lr=0.008864, batch_cost=0.9371, reader_cost=0.0006 | ETA 18:12:49 2020-12-16 16:24:20 [INFO] [TRAIN] epoch=27, iter=10040/80000, loss=0.2363, lr=0.008863, batch_cost=0.8446, reader_cost=0.0044 | ETA 16:24:44 2020-12-16 16:24:28 [INFO] [TRAIN] epoch=28, iter=10050/80000, loss=0.2597, lr=0.008862, batch_cost=0.7438, reader_cost=0.0491 | ETA 14:27:09 2020-12-16 16:24:36 [INFO] [TRAIN] epoch=28, iter=10060/80000, loss=0.2095, lr=0.008861, batch_cost=0.8806, reader_cost=0.0023 | ETA 17:06:32 2020-12-16 16:24:45 [INFO] [TRAIN] epoch=28, iter=10070/80000, loss=0.3805, lr=0.008860, batch_cost=0.8679, reader_cost=0.0049 | ETA 16:51:31 2020-12-16 16:24:54 [INFO] [TRAIN] epoch=28, iter=10080/80000, loss=0.3462, lr=0.008859, batch_cost=0.8505, reader_cost=0.0008 | ETA 16:31:05 2020-12-16 16:25:02 [INFO] [TRAIN] epoch=28, iter=10090/80000, loss=0.3070, lr=0.008857, batch_cost=0.8148, reader_cost=0.0023 | ETA 15:49:23 2020-12-16 16:25:10 [INFO] [TRAIN] epoch=28, iter=10100/80000, loss=0.2220, lr=0.008856, batch_cost=0.8137, reader_cost=0.0001 | ETA 15:48:00 2020-12-16 16:25:19 [INFO] [TRAIN] epoch=28, iter=10110/80000, loss=0.2763, lr=0.008855, batch_cost=0.8719, reader_cost=0.0001 | ETA 16:55:34 2020-12-16 16:25:27 [INFO] [TRAIN] epoch=28, iter=10120/80000, loss=0.2037, lr=0.008854, batch_cost=0.8771, reader_cost=0.0048 | ETA 17:01:32 2020-12-16 16:25:36 [INFO] [TRAIN] epoch=28, iter=10130/80000, loss=0.5676, lr=0.008853, batch_cost=0.8057, reader_cost=0.0042 | ETA 15:38:11 2020-12-16 16:25:44 [INFO] [TRAIN] epoch=28, iter=10140/80000, loss=0.2306, lr=0.008852, batch_cost=0.8128, reader_cost=0.0003 | ETA 15:46:20 2020-12-16 16:25:51 [INFO] [TRAIN] epoch=28, iter=10150/80000, loss=0.2624, lr=0.008851, batch_cost=0.7739, reader_cost=0.0001 | ETA 15:00:56 2020-12-16 16:25:58 [INFO] [TRAIN] epoch=28, iter=10160/80000, loss=0.2091, lr=0.008849, batch_cost=0.6797, reader_cost=0.0029 | ETA 13:11:10 2020-12-16 16:26:06 [INFO] [TRAIN] epoch=28, iter=10170/80000, loss=0.2337, lr=0.008848, batch_cost=0.8013, reader_cost=0.0007 | ETA 15:32:37 2020-12-16 16:26:14 [INFO] [TRAIN] epoch=28, iter=10180/80000, loss=0.2585, lr=0.008847, batch_cost=0.8190, reader_cost=0.0026 | ETA 15:53:02 2020-12-16 16:26:22 [INFO] [TRAIN] epoch=28, iter=10190/80000, loss=0.2307, lr=0.008846, batch_cost=0.7931, reader_cost=0.0045 | ETA 15:22:49 2020-12-16 16:26:30 [INFO] [TRAIN] epoch=28, iter=10200/80000, loss=0.2433, lr=0.008845, batch_cost=0.8047, reader_cost=0.0001 | ETA 15:36:08 2020-12-16 16:26:39 [INFO] [TRAIN] epoch=28, iter=10210/80000, loss=0.2424, lr=0.008844, batch_cost=0.8446, reader_cost=0.0001 | ETA 16:22:27 2020-12-16 16:26:47 [INFO] [TRAIN] epoch=28, iter=10220/80000, loss=0.2543, lr=0.008843, batch_cost=0.8334, reader_cost=0.0053 | ETA 16:09:12 2020-12-16 16:26:54 [INFO] [TRAIN] epoch=28, iter=10230/80000, loss=0.2678, lr=0.008842, batch_cost=0.7172, reader_cost=0.0006 | ETA 13:54:01 2020-12-16 16:27:02 [INFO] [TRAIN] epoch=28, iter=10240/80000, loss=0.3374, lr=0.008840, batch_cost=0.7759, reader_cost=0.0001 | ETA 15:02:07 2020-12-16 16:27:10 [INFO] [TRAIN] epoch=28, iter=10250/80000, loss=0.2218, lr=0.008839, batch_cost=0.7820, reader_cost=0.0049 | ETA 15:09:02 2020-12-16 16:27:18 [INFO] [TRAIN] epoch=28, iter=10260/80000, loss=0.2941, lr=0.008838, batch_cost=0.8090, reader_cost=0.0036 | ETA 15:40:17 2020-12-16 16:27:25 [INFO] [TRAIN] epoch=28, iter=10270/80000, loss=0.2321, lr=0.008837, batch_cost=0.7222, reader_cost=0.0009 | ETA 13:59:17 2020-12-16 16:27:33 [INFO] [TRAIN] epoch=28, iter=10280/80000, loss=0.1766, lr=0.008836, batch_cost=0.8261, reader_cost=0.0009 | ETA 15:59:57 2020-12-16 16:27:41 [INFO] [TRAIN] epoch=28, iter=10290/80000, loss=0.4729, lr=0.008835, batch_cost=0.7885, reader_cost=0.0008 | ETA 15:16:06 2020-12-16 16:27:49 [INFO] [TRAIN] epoch=28, iter=10300/80000, loss=0.3154, lr=0.008834, batch_cost=0.7878, reader_cost=0.0031 | ETA 15:15:09 2020-12-16 16:27:57 [INFO] [TRAIN] epoch=28, iter=10310/80000, loss=0.3094, lr=0.008832, batch_cost=0.7992, reader_cost=0.0019 | ETA 15:28:18 2020-12-16 16:28:06 [INFO] [TRAIN] epoch=28, iter=10320/80000, loss=0.2264, lr=0.008831, batch_cost=0.8841, reader_cost=0.0001 | ETA 17:06:41 2020-12-16 16:28:15 [INFO] [TRAIN] epoch=28, iter=10330/80000, loss=0.2710, lr=0.008830, batch_cost=0.8634, reader_cost=0.0027 | ETA 16:42:30 2020-12-16 16:28:22 [INFO] [TRAIN] epoch=28, iter=10340/80000, loss=0.3093, lr=0.008829, batch_cost=0.7086, reader_cost=0.0023 | ETA 13:42:43 2020-12-16 16:28:27 [INFO] [TRAIN] epoch=28, iter=10350/80000, loss=0.2963, lr=0.008828, batch_cost=0.5394, reader_cost=0.0001 | ETA 10:26:09 2020-12-16 16:28:33 [INFO] [TRAIN] epoch=28, iter=10360/80000, loss=0.2720, lr=0.008827, batch_cost=0.5855, reader_cost=0.0002 | ETA 11:19:35 2020-12-16 16:28:39 [INFO] [TRAIN] epoch=28, iter=10370/80000, loss=0.2586, lr=0.008826, batch_cost=0.5545, reader_cost=0.0001 | ETA 10:43:28 2020-12-16 16:28:44 [INFO] [TRAIN] epoch=28, iter=10380/80000, loss=0.3091, lr=0.008824, batch_cost=0.5797, reader_cost=0.0010 | ETA 11:12:41 2020-12-16 16:28:51 [INFO] [TRAIN] epoch=28, iter=10390/80000, loss=0.2130, lr=0.008823, batch_cost=0.6612, reader_cost=0.0003 | ETA 12:47:05 2020-12-16 16:28:59 [INFO] [TRAIN] epoch=28, iter=10400/80000, loss=0.4429, lr=0.008822, batch_cost=0.7760, reader_cost=0.0031 | ETA 15:00:09 2020-12-16 16:29:07 [INFO] [TRAIN] epoch=28, iter=10410/80000, loss=0.3691, lr=0.008821, batch_cost=0.8022, reader_cost=0.0004 | ETA 15:30:23 2020-12-16 16:29:15 [INFO] [TRAIN] epoch=29, iter=10420/80000, loss=0.1759, lr=0.008820, batch_cost=0.7757, reader_cost=0.0601 | ETA 14:59:36 2020-12-16 16:29:23 [INFO] [TRAIN] epoch=29, iter=10430/80000, loss=0.3347, lr=0.008819, batch_cost=0.8016, reader_cost=0.0002 | ETA 15:29:24 2020-12-16 16:29:31 [INFO] [TRAIN] epoch=29, iter=10440/80000, loss=0.3318, lr=0.008818, batch_cost=0.7971, reader_cost=0.0001 | ETA 15:24:07 2020-12-16 16:29:39 [INFO] [TRAIN] epoch=29, iter=10450/80000, loss=0.3082, lr=0.008816, batch_cost=0.8907, reader_cost=0.0022 | ETA 17:12:26 2020-12-16 16:29:47 [INFO] [TRAIN] epoch=29, iter=10460/80000, loss=0.2258, lr=0.008815, batch_cost=0.7968, reader_cost=0.0013 | ETA 15:23:27 2020-12-16 16:29:55 [INFO] [TRAIN] epoch=29, iter=10470/80000, loss=0.2276, lr=0.008814, batch_cost=0.7854, reader_cost=0.0001 | ETA 15:10:07 2020-12-16 16:30:04 [INFO] [TRAIN] epoch=29, iter=10480/80000, loss=0.1995, lr=0.008813, batch_cost=0.8951, reader_cost=0.0002 | ETA 17:17:04 2020-12-16 16:30:12 [INFO] [TRAIN] epoch=29, iter=10490/80000, loss=0.3364, lr=0.008812, batch_cost=0.7917, reader_cost=0.0001 | ETA 15:17:14 2020-12-16 16:30:20 [INFO] [TRAIN] epoch=29, iter=10500/80000, loss=0.2372, lr=0.008811, batch_cost=0.7801, reader_cost=0.0006 | ETA 15:03:34 2020-12-16 16:30:30 [INFO] [TRAIN] epoch=29, iter=10510/80000, loss=0.1855, lr=0.008810, batch_cost=0.9718, reader_cost=0.0002 | ETA 18:45:30 2020-12-16 16:30:38 [INFO] [TRAIN] epoch=29, iter=10520/80000, loss=0.3291, lr=0.008808, batch_cost=0.8174, reader_cost=0.0003 | ETA 15:46:32 2020-12-16 16:30:45 [INFO] [TRAIN] epoch=29, iter=10530/80000, loss=0.3105, lr=0.008807, batch_cost=0.7597, reader_cost=0.0129 | ETA 14:39:36 2020-12-16 16:30:53 [INFO] [TRAIN] epoch=29, iter=10540/80000, loss=0.2264, lr=0.008806, batch_cost=0.7900, reader_cost=0.0012 | ETA 15:14:35 2020-12-16 16:31:01 [INFO] [TRAIN] epoch=29, iter=10550/80000, loss=0.2544, lr=0.008805, batch_cost=0.7741, reader_cost=0.0027 | ETA 14:56:02 2020-12-16 16:31:09 [INFO] [TRAIN] epoch=29, iter=10560/80000, loss=0.1914, lr=0.008804, batch_cost=0.7509, reader_cost=0.0001 | ETA 14:28:59 2020-12-16 16:31:17 [INFO] [TRAIN] epoch=29, iter=10570/80000, loss=0.2317, lr=0.008803, batch_cost=0.7888, reader_cost=0.0005 | ETA 15:12:48 2020-12-16 16:31:25 [INFO] [TRAIN] epoch=29, iter=10580/80000, loss=0.2662, lr=0.008802, batch_cost=0.8359, reader_cost=0.0007 | ETA 16:07:09 2020-12-16 16:31:33 [INFO] [TRAIN] epoch=29, iter=10590/80000, loss=0.2618, lr=0.008800, batch_cost=0.7982, reader_cost=0.0021 | ETA 15:23:24 2020-12-16 16:31:42 [INFO] [TRAIN] epoch=29, iter=10600/80000, loss=0.2674, lr=0.008799, batch_cost=0.8726, reader_cost=0.0022 | ETA 16:49:16 2020-12-16 16:31:50 [INFO] [TRAIN] epoch=29, iter=10610/80000, loss=0.2025, lr=0.008798, batch_cost=0.8373, reader_cost=0.0001 | ETA 16:08:22 2020-12-16 16:31:58 [INFO] [TRAIN] epoch=29, iter=10620/80000, loss=0.2671, lr=0.008797, batch_cost=0.7545, reader_cost=0.0002 | ETA 14:32:26 2020-12-16 16:32:06 [INFO] [TRAIN] epoch=29, iter=10630/80000, loss=0.2527, lr=0.008796, batch_cost=0.8152, reader_cost=0.0003 | ETA 15:42:33 2020-12-16 16:32:13 [INFO] [TRAIN] epoch=29, iter=10640/80000, loss=0.2072, lr=0.008795, batch_cost=0.7685, reader_cost=0.0007 | ETA 14:48:23 2020-12-16 16:32:22 [INFO] [TRAIN] epoch=29, iter=10650/80000, loss=0.3325, lr=0.008794, batch_cost=0.8192, reader_cost=0.0003 | ETA 15:46:54 2020-12-16 16:32:30 [INFO] [TRAIN] epoch=29, iter=10660/80000, loss=0.3057, lr=0.008792, batch_cost=0.8435, reader_cost=0.0028 | ETA 16:14:46 2020-12-16 16:32:39 [INFO] [TRAIN] epoch=29, iter=10670/80000, loss=0.2193, lr=0.008791, batch_cost=0.8743, reader_cost=0.0008 | ETA 16:50:18 2020-12-16 16:32:47 [INFO] [TRAIN] epoch=29, iter=10680/80000, loss=0.2775, lr=0.008790, batch_cost=0.7994, reader_cost=0.0034 | ETA 15:23:34 2020-12-16 16:32:55 [INFO] [TRAIN] epoch=29, iter=10690/80000, loss=0.3143, lr=0.008789, batch_cost=0.7871, reader_cost=0.0009 | ETA 15:09:12 2020-12-16 16:33:03 [INFO] [TRAIN] epoch=29, iter=10700/80000, loss=0.2298, lr=0.008788, batch_cost=0.8494, reader_cost=0.0005 | ETA 16:21:03 2020-12-16 16:33:11 [INFO] [TRAIN] epoch=29, iter=10710/80000, loss=0.1895, lr=0.008787, batch_cost=0.8272, reader_cost=0.0033 | ETA 15:55:17 2020-12-16 16:33:17 [INFO] [TRAIN] epoch=29, iter=10720/80000, loss=0.2701, lr=0.008786, batch_cost=0.5534, reader_cost=0.0008 | ETA 10:38:59 2020-12-16 16:33:23 [INFO] [TRAIN] epoch=29, iter=10730/80000, loss=0.2395, lr=0.008784, batch_cost=0.5836, reader_cost=0.0007 | ETA 11:13:47 2020-12-16 16:33:28 [INFO] [TRAIN] epoch=29, iter=10740/80000, loss=0.2409, lr=0.008783, batch_cost=0.5461, reader_cost=0.0001 | ETA 10:30:22 2020-12-16 16:33:34 [INFO] [TRAIN] epoch=29, iter=10750/80000, loss=0.2256, lr=0.008782, batch_cost=0.5394, reader_cost=0.0008 | ETA 10:22:31 2020-12-16 16:33:39 [INFO] [TRAIN] epoch=29, iter=10760/80000, loss=0.3558, lr=0.008781, batch_cost=0.5839, reader_cost=0.0012 | ETA 11:13:48 2020-12-16 16:33:47 [INFO] [TRAIN] epoch=29, iter=10770/80000, loss=0.2148, lr=0.008780, batch_cost=0.7994, reader_cost=0.0014 | ETA 15:22:24 2020-12-16 16:33:55 [INFO] [TRAIN] epoch=29, iter=10780/80000, loss=0.1935, lr=0.008779, batch_cost=0.7915, reader_cost=0.0007 | ETA 15:13:04 2020-12-16 16:34:03 [INFO] [TRAIN] epoch=30, iter=10790/80000, loss=0.2545, lr=0.008778, batch_cost=0.7830, reader_cost=0.0684 | ETA 15:03:10 2020-12-16 16:34:12 [INFO] [TRAIN] epoch=30, iter=10800/80000, loss=0.1804, lr=0.008776, batch_cost=0.8456, reader_cost=0.0001 | ETA 16:15:16 2020-12-16 16:34:19 [INFO] [TRAIN] epoch=30, iter=10810/80000, loss=0.2254, lr=0.008775, batch_cost=0.7648, reader_cost=0.0011 | ETA 14:41:54 2020-12-16 16:34:28 [INFO] [TRAIN] epoch=30, iter=10820/80000, loss=0.2770, lr=0.008774, batch_cost=0.8811, reader_cost=0.0026 | ETA 16:55:55 2020-12-16 16:34:36 [INFO] [TRAIN] epoch=30, iter=10830/80000, loss=0.2118, lr=0.008773, batch_cost=0.7886, reader_cost=0.0026 | ETA 15:09:05 2020-12-16 16:34:45 [INFO] [TRAIN] epoch=30, iter=10840/80000, loss=0.2154, lr=0.008772, batch_cost=0.8747, reader_cost=0.0032 | ETA 16:48:12 2020-12-16 16:34:53 [INFO] [TRAIN] epoch=30, iter=10850/80000, loss=0.2217, lr=0.008771, batch_cost=0.8313, reader_cost=0.0031 | ETA 15:58:04 2020-12-16 16:35:01 [INFO] [TRAIN] epoch=30, iter=10860/80000, loss=0.2459, lr=0.008770, batch_cost=0.8393, reader_cost=0.0001 | ETA 16:07:09 2020-12-16 16:35:09 [INFO] [TRAIN] epoch=30, iter=10870/80000, loss=0.2650, lr=0.008768, batch_cost=0.7477, reader_cost=0.0037 | ETA 14:21:25 2020-12-16 16:35:17 [INFO] [TRAIN] epoch=30, iter=10880/80000, loss=0.2752, lr=0.008767, batch_cost=0.7736, reader_cost=0.0009 | ETA 14:51:11 2020-12-16 16:35:24 [INFO] [TRAIN] epoch=30, iter=10890/80000, loss=0.2307, lr=0.008766, batch_cost=0.7683, reader_cost=0.0043 | ETA 14:44:57 2020-12-16 16:35:33 [INFO] [TRAIN] epoch=30, iter=10900/80000, loss=0.2374, lr=0.008765, batch_cost=0.8612, reader_cost=0.0039 | ETA 16:31:51 2020-12-16 16:35:42 [INFO] [TRAIN] epoch=30, iter=10910/80000, loss=0.3172, lr=0.008764, batch_cost=0.8971, reader_cost=0.0005 | ETA 17:13:03 2020-12-16 16:35:50 [INFO] [TRAIN] epoch=30, iter=10920/80000, loss=0.3135, lr=0.008763, batch_cost=0.7701, reader_cost=0.0007 | ETA 14:46:36 2020-12-16 16:35:58 [INFO] [TRAIN] epoch=30, iter=10930/80000, loss=0.2027, lr=0.008762, batch_cost=0.8571, reader_cost=0.0013 | ETA 16:26:37 2020-12-16 16:36:07 [INFO] [TRAIN] epoch=30, iter=10940/80000, loss=0.3545, lr=0.008760, batch_cost=0.8647, reader_cost=0.0029 | ETA 16:35:18 2020-12-16 16:36:15 [INFO] [TRAIN] epoch=30, iter=10950/80000, loss=0.3744, lr=0.008759, batch_cost=0.8444, reader_cost=0.0003 | ETA 16:11:44 2020-12-16 16:36:23 [INFO] [TRAIN] epoch=30, iter=10960/80000, loss=0.2128, lr=0.008758, batch_cost=0.7860, reader_cost=0.0006 | ETA 15:04:24 2020-12-16 16:36:31 [INFO] [TRAIN] epoch=30, iter=10970/80000, loss=0.2768, lr=0.008757, batch_cost=0.7811, reader_cost=0.0001 | ETA 14:58:38 2020-12-16 16:36:39 [INFO] [TRAIN] epoch=30, iter=10980/80000, loss=0.1913, lr=0.008756, batch_cost=0.7645, reader_cost=0.0005 | ETA 14:39:23 2020-12-16 16:36:46 [INFO] [TRAIN] epoch=30, iter=10990/80000, loss=0.3269, lr=0.008755, batch_cost=0.7072, reader_cost=0.0001 | ETA 13:33:23 2020-12-16 16:36:54 [INFO] [TRAIN] epoch=30, iter=11000/80000, loss=0.2300, lr=0.008754, batch_cost=0.7799, reader_cost=0.0041 | ETA 14:56:54 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 16:36:54 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 16:37:40 [INFO] [EVAL] #Images=500 mIoU=0.6601 Acc=0.9333 Kappa=0.9140 2020-12-16 16:37:40 [INFO] [EVAL] Class IoU: [0.9412 0.6706 0.898 0.2924 0.5188 0.5455 0.6442 0.7192 0.9082 0.593 0.9307 0.7797 0.5399 0.931 0.2742 0.6301 0.5038 0.4944 0.7275] 2020-12-16 16:37:40 [INFO] [EVAL] Class Acc: [0.9913 0.7088 0.9415 0.7729 0.6448 0.6962 0.8011 0.9103 0.9442 0.7694 0.9496 0.88 0.7655 0.9605 0.8895 0.7368 0.8915 0.8591 0.8326] 2020-12-16 16:37:47 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 16:37:55 [INFO] [TRAIN] epoch=30, iter=11010/80000, loss=0.3045, lr=0.008753, batch_cost=0.8000, reader_cost=0.0007 | ETA 15:19:53 2020-12-16 16:38:03 [INFO] [TRAIN] epoch=30, iter=11020/80000, loss=0.2252, lr=0.008751, batch_cost=0.8416, reader_cost=0.0132 | ETA 16:07:30 2020-12-16 16:38:11 [INFO] [TRAIN] epoch=30, iter=11030/80000, loss=0.3653, lr=0.008750, batch_cost=0.8077, reader_cost=0.0005 | ETA 15:28:26 2020-12-16 16:38:20 [INFO] [TRAIN] epoch=30, iter=11040/80000, loss=0.2945, lr=0.008749, batch_cost=0.8743, reader_cost=0.0021 | ETA 16:44:52 2020-12-16 16:38:27 [INFO] [TRAIN] epoch=30, iter=11050/80000, loss=0.3130, lr=0.008748, batch_cost=0.7170, reader_cost=0.0001 | ETA 13:43:53 2020-12-16 16:38:33 [INFO] [TRAIN] epoch=30, iter=11060/80000, loss=0.4335, lr=0.008747, batch_cost=0.5554, reader_cost=0.0001 | ETA 10:38:10 2020-12-16 16:38:39 [INFO] [TRAIN] epoch=30, iter=11070/80000, loss=0.2879, lr=0.008746, batch_cost=0.5916, reader_cost=0.0003 | ETA 11:19:40 2020-12-16 16:38:44 [INFO] [TRAIN] epoch=30, iter=11080/80000, loss=0.3008, lr=0.008745, batch_cost=0.5442, reader_cost=0.0001 | ETA 10:25:08 2020-12-16 16:38:50 [INFO] [TRAIN] epoch=30, iter=11090/80000, loss=0.3139, lr=0.008743, batch_cost=0.5626, reader_cost=0.0002 | ETA 10:46:07 2020-12-16 16:38:56 [INFO] [TRAIN] epoch=30, iter=11100/80000, loss=0.2673, lr=0.008742, batch_cost=0.6146, reader_cost=0.0006 | ETA 11:45:44 2020-12-16 16:39:04 [INFO] [TRAIN] epoch=30, iter=11110/80000, loss=0.3636, lr=0.008741, batch_cost=0.8324, reader_cost=0.0009 | ETA 15:55:42 2020-12-16 16:39:13 [INFO] [TRAIN] epoch=30, iter=11120/80000, loss=0.1994, lr=0.008740, batch_cost=0.8359, reader_cost=0.0014 | ETA 15:59:33 2020-12-16 16:39:21 [INFO] [TRAIN] epoch=30, iter=11130/80000, loss=0.3178, lr=0.008739, batch_cost=0.8514, reader_cost=0.0015 | ETA 16:17:16 2020-12-16 16:39:29 [INFO] [TRAIN] epoch=30, iter=11140/80000, loss=0.2260, lr=0.008738, batch_cost=0.8079, reader_cost=0.0008 | ETA 15:27:15 2020-12-16 16:39:38 [INFO] [TRAIN] epoch=30, iter=11150/80000, loss=0.2426, lr=0.008737, batch_cost=0.8895, reader_cost=0.0030 | ETA 17:00:39 2020-12-16 16:39:45 [INFO] [TRAIN] epoch=30, iter=11160/80000, loss=0.2504, lr=0.008735, batch_cost=0.7167, reader_cost=0.0013 | ETA 13:42:16 2020-12-16 16:39:55 [INFO] [TRAIN] epoch=31, iter=11170/80000, loss=0.3049, lr=0.008734, batch_cost=0.9387, reader_cost=0.0881 | ETA 17:56:53 2020-12-16 16:40:03 [INFO] [TRAIN] epoch=31, iter=11180/80000, loss=0.2904, lr=0.008733, batch_cost=0.8171, reader_cost=0.0006 | ETA 15:37:12 2020-12-16 16:40:11 [INFO] [TRAIN] epoch=31, iter=11190/80000, loss=0.3336, lr=0.008732, batch_cost=0.8604, reader_cost=0.0002 | ETA 16:26:42 2020-12-16 16:40:20 [INFO] [TRAIN] epoch=31, iter=11200/80000, loss=0.2365, lr=0.008731, batch_cost=0.8609, reader_cost=0.0031 | ETA 16:27:10 2020-12-16 16:40:28 [INFO] [TRAIN] epoch=31, iter=11210/80000, loss=0.1703, lr=0.008730, batch_cost=0.7874, reader_cost=0.0001 | ETA 15:02:45 2020-12-16 16:40:36 [INFO] [TRAIN] epoch=31, iter=11220/80000, loss=0.5302, lr=0.008729, batch_cost=0.8260, reader_cost=0.0001 | ETA 15:46:52 2020-12-16 16:40:45 [INFO] [TRAIN] epoch=31, iter=11230/80000, loss=0.2977, lr=0.008727, batch_cost=0.8588, reader_cost=0.0012 | ETA 16:24:17 2020-12-16 16:40:53 [INFO] [TRAIN] epoch=31, iter=11240/80000, loss=0.2136, lr=0.008726, batch_cost=0.8369, reader_cost=0.0001 | ETA 15:59:07 2020-12-16 16:41:01 [INFO] [TRAIN] epoch=31, iter=11250/80000, loss=0.3069, lr=0.008725, batch_cost=0.7928, reader_cost=0.0004 | ETA 15:08:24 2020-12-16 16:41:10 [INFO] [TRAIN] epoch=31, iter=11260/80000, loss=0.2475, lr=0.008724, batch_cost=0.8955, reader_cost=0.0005 | ETA 17:05:57 2020-12-16 16:41:18 [INFO] [TRAIN] epoch=31, iter=11270/80000, loss=0.2861, lr=0.008723, batch_cost=0.7901, reader_cost=0.0014 | ETA 15:05:04 2020-12-16 16:41:26 [INFO] [TRAIN] epoch=31, iter=11280/80000, loss=0.2607, lr=0.008722, batch_cost=0.7873, reader_cost=0.0012 | ETA 15:01:45 2020-12-16 16:41:33 [INFO] [TRAIN] epoch=31, iter=11290/80000, loss=0.3019, lr=0.008721, batch_cost=0.7570, reader_cost=0.0037 | ETA 14:26:51 2020-12-16 16:41:43 [INFO] [TRAIN] epoch=31, iter=11300/80000, loss=0.4971, lr=0.008719, batch_cost=0.9609, reader_cost=0.0027 | ETA 18:20:14 2020-12-16 16:41:51 [INFO] [TRAIN] epoch=31, iter=11310/80000, loss=0.3028, lr=0.008718, batch_cost=0.7842, reader_cost=0.0049 | ETA 14:57:45 2020-12-16 16:41:59 [INFO] [TRAIN] epoch=31, iter=11320/80000, loss=0.5630, lr=0.008717, batch_cost=0.8063, reader_cost=0.0001 | ETA 15:22:55 2020-12-16 16:42:07 [INFO] [TRAIN] epoch=31, iter=11330/80000, loss=0.2698, lr=0.008716, batch_cost=0.8160, reader_cost=0.0001 | ETA 15:33:52 2020-12-16 16:42:15 [INFO] [TRAIN] epoch=31, iter=11340/80000, loss=0.4964, lr=0.008715, batch_cost=0.8200, reader_cost=0.0044 | ETA 15:38:23 2020-12-16 16:42:24 [INFO] [TRAIN] epoch=31, iter=11350/80000, loss=0.3283, lr=0.008714, batch_cost=0.8259, reader_cost=0.0001 | ETA 15:44:57 2020-12-16 16:42:32 [INFO] [TRAIN] epoch=31, iter=11360/80000, loss=0.3147, lr=0.008713, batch_cost=0.8463, reader_cost=0.0009 | ETA 16:08:13 2020-12-16 16:42:40 [INFO] [TRAIN] epoch=31, iter=11370/80000, loss=0.2300, lr=0.008711, batch_cost=0.8292, reader_cost=0.0002 | ETA 15:48:25 2020-12-16 16:42:49 [INFO] [TRAIN] epoch=31, iter=11380/80000, loss=0.2418, lr=0.008710, batch_cost=0.8249, reader_cost=0.0021 | ETA 15:43:26 2020-12-16 16:42:57 [INFO] [TRAIN] epoch=31, iter=11390/80000, loss=0.3475, lr=0.008709, batch_cost=0.8423, reader_cost=0.0002 | ETA 16:03:13 2020-12-16 16:43:06 [INFO] [TRAIN] epoch=31, iter=11400/80000, loss=0.6584, lr=0.008708, batch_cost=0.8930, reader_cost=0.0007 | ETA 17:00:59 2020-12-16 16:43:13 [INFO] [TRAIN] epoch=31, iter=11410/80000, loss=0.4182, lr=0.008707, batch_cost=0.7570, reader_cost=0.0001 | ETA 14:25:22 2020-12-16 16:43:22 [INFO] [TRAIN] epoch=31, iter=11420/80000, loss=0.3131, lr=0.008706, batch_cost=0.8314, reader_cost=0.0010 | ETA 15:50:17 2020-12-16 16:43:30 [INFO] [TRAIN] epoch=31, iter=11430/80000, loss=0.2898, lr=0.008705, batch_cost=0.8457, reader_cost=0.0064 | ETA 16:06:28 2020-12-16 16:43:38 [INFO] [TRAIN] epoch=31, iter=11440/80000, loss=0.3866, lr=0.008703, batch_cost=0.8221, reader_cost=0.0019 | ETA 15:39:20 2020-12-16 16:43:47 [INFO] [TRAIN] epoch=31, iter=11450/80000, loss=0.3851, lr=0.008702, batch_cost=0.8622, reader_cost=0.0037 | ETA 16:25:01 2020-12-16 16:43:55 [INFO] [TRAIN] epoch=31, iter=11460/80000, loss=0.2871, lr=0.008701, batch_cost=0.8217, reader_cost=0.0018 | ETA 15:38:39 2020-12-16 16:44:03 [INFO] [TRAIN] epoch=31, iter=11470/80000, loss=0.2510, lr=0.008700, batch_cost=0.7918, reader_cost=0.0060 | ETA 15:04:23 2020-12-16 16:44:10 [INFO] [TRAIN] epoch=31, iter=11480/80000, loss=0.2383, lr=0.008699, batch_cost=0.7114, reader_cost=0.0004 | ETA 13:32:25 2020-12-16 16:44:16 [INFO] [TRAIN] epoch=31, iter=11490/80000, loss=0.2611, lr=0.008698, batch_cost=0.5764, reader_cost=0.0001 | ETA 10:58:06 2020-12-16 16:44:22 [INFO] [TRAIN] epoch=31, iter=11500/80000, loss=0.3023, lr=0.008697, batch_cost=0.5850, reader_cost=0.0001 | ETA 11:07:54 2020-12-16 16:44:28 [INFO] [TRAIN] epoch=31, iter=11510/80000, loss=0.3179, lr=0.008695, batch_cost=0.5622, reader_cost=0.0001 | ETA 10:41:47 2020-12-16 16:44:33 [INFO] [TRAIN] epoch=31, iter=11520/80000, loss=0.3428, lr=0.008694, batch_cost=0.5732, reader_cost=0.0001 | ETA 10:54:12 2020-12-16 16:44:39 [INFO] [TRAIN] epoch=31, iter=11530/80000, loss=0.3332, lr=0.008693, batch_cost=0.5705, reader_cost=0.0001 | ETA 10:51:03 2020-12-16 16:44:48 [INFO] [TRAIN] epoch=32, iter=11540/80000, loss=0.2752, lr=0.008692, batch_cost=0.9387, reader_cost=0.0685 | ETA 17:51:05 2020-12-16 16:44:57 [INFO] [TRAIN] epoch=32, iter=11550/80000, loss=0.3776, lr=0.008691, batch_cost=0.8943, reader_cost=0.0005 | ETA 17:00:16 2020-12-16 16:45:06 [INFO] [TRAIN] epoch=32, iter=11560/80000, loss=0.2411, lr=0.008690, batch_cost=0.8511, reader_cost=0.0024 | ETA 16:10:47 2020-12-16 16:45:16 [INFO] [TRAIN] epoch=32, iter=11570/80000, loss=0.2696, lr=0.008689, batch_cost=0.9680, reader_cost=0.0010 | ETA 18:24:01 2020-12-16 16:45:25 [INFO] [TRAIN] epoch=32, iter=11580/80000, loss=0.2520, lr=0.008687, batch_cost=0.9075, reader_cost=0.0015 | ETA 17:14:48 2020-12-16 16:45:34 [INFO] [TRAIN] epoch=32, iter=11590/80000, loss=0.2688, lr=0.008686, batch_cost=0.8878, reader_cost=0.0014 | ETA 16:52:14 2020-12-16 16:45:43 [INFO] [TRAIN] epoch=32, iter=11600/80000, loss=0.2769, lr=0.008685, batch_cost=0.9434, reader_cost=0.0033 | ETA 17:55:25 2020-12-16 16:45:52 [INFO] [TRAIN] epoch=32, iter=11610/80000, loss=0.3258, lr=0.008684, batch_cost=0.8759, reader_cost=0.0031 | ETA 16:38:23 2020-12-16 16:46:01 [INFO] [TRAIN] epoch=32, iter=11620/80000, loss=0.3504, lr=0.008683, batch_cost=0.9099, reader_cost=0.0026 | ETA 17:17:00 2020-12-16 16:46:10 [INFO] [TRAIN] epoch=32, iter=11630/80000, loss=0.3354, lr=0.008682, batch_cost=0.8936, reader_cost=0.0063 | ETA 16:58:12 2020-12-16 16:46:19 [INFO] [TRAIN] epoch=32, iter=11640/80000, loss=0.3152, lr=0.008681, batch_cost=0.8882, reader_cost=0.0006 | ETA 16:51:53 2020-12-16 16:46:27 [INFO] [TRAIN] epoch=32, iter=11650/80000, loss=0.2695, lr=0.008679, batch_cost=0.8433, reader_cost=0.0031 | ETA 16:00:41 2020-12-16 16:46:35 [INFO] [TRAIN] epoch=32, iter=11660/80000, loss=0.2689, lr=0.008678, batch_cost=0.8172, reader_cost=0.0002 | ETA 15:30:47 2020-12-16 16:46:44 [INFO] [TRAIN] epoch=32, iter=11670/80000, loss=0.2455, lr=0.008677, batch_cost=0.9051, reader_cost=0.0008 | ETA 17:10:43 2020-12-16 16:46:52 [INFO] [TRAIN] epoch=32, iter=11680/80000, loss=0.2194, lr=0.008676, batch_cost=0.7724, reader_cost=0.0028 | ETA 14:39:27 2020-12-16 16:47:01 [INFO] [TRAIN] epoch=32, iter=11690/80000, loss=0.2006, lr=0.008675, batch_cost=0.8438, reader_cost=0.0001 | ETA 16:00:41 2020-12-16 16:47:10 [INFO] [TRAIN] epoch=32, iter=11700/80000, loss=0.1877, lr=0.008674, batch_cost=0.9546, reader_cost=0.0021 | ETA 18:06:41 2020-12-16 16:47:19 [INFO] [TRAIN] epoch=32, iter=11710/80000, loss=0.2424, lr=0.008673, batch_cost=0.9169, reader_cost=0.0047 | ETA 17:23:37 2020-12-16 16:47:27 [INFO] [TRAIN] epoch=32, iter=11720/80000, loss=0.2924, lr=0.008671, batch_cost=0.8041, reader_cost=0.0004 | ETA 15:15:04 2020-12-16 16:47:36 [INFO] [TRAIN] epoch=32, iter=11730/80000, loss=0.2013, lr=0.008670, batch_cost=0.8520, reader_cost=0.0005 | ETA 16:09:27 2020-12-16 16:47:45 [INFO] [TRAIN] epoch=32, iter=11740/80000, loss=0.4810, lr=0.008669, batch_cost=0.8879, reader_cost=0.0029 | ETA 16:50:06 2020-12-16 16:47:53 [INFO] [TRAIN] epoch=32, iter=11750/80000, loss=0.2971, lr=0.008668, batch_cost=0.8164, reader_cost=0.0022 | ETA 15:28:39 2020-12-16 16:48:01 [INFO] [TRAIN] epoch=32, iter=11760/80000, loss=0.2898, lr=0.008667, batch_cost=0.8514, reader_cost=0.0002 | ETA 16:08:16 2020-12-16 16:48:10 [INFO] [TRAIN] epoch=32, iter=11770/80000, loss=0.1879, lr=0.008666, batch_cost=0.8724, reader_cost=0.0002 | ETA 16:32:02 2020-12-16 16:48:19 [INFO] [TRAIN] epoch=32, iter=11780/80000, loss=0.1928, lr=0.008665, batch_cost=0.9038, reader_cost=0.0031 | ETA 17:07:40 2020-12-16 16:48:27 [INFO] [TRAIN] epoch=32, iter=11790/80000, loss=0.1953, lr=0.008663, batch_cost=0.8109, reader_cost=0.0062 | ETA 15:21:51 2020-12-16 16:48:36 [INFO] [TRAIN] epoch=32, iter=11800/80000, loss=0.2610, lr=0.008662, batch_cost=0.8366, reader_cost=0.0020 | ETA 15:50:54 2020-12-16 16:48:44 [INFO] [TRAIN] epoch=32, iter=11810/80000, loss=0.2069, lr=0.008661, batch_cost=0.8327, reader_cost=0.0027 | ETA 15:46:18 2020-12-16 16:48:51 [INFO] [TRAIN] epoch=32, iter=11820/80000, loss=0.3092, lr=0.008660, batch_cost=0.7135, reader_cost=0.0006 | ETA 13:30:48 2020-12-16 16:48:57 [INFO] [TRAIN] epoch=32, iter=11830/80000, loss=0.3022, lr=0.008659, batch_cost=0.5501, reader_cost=0.0001 | ETA 10:25:00 2020-12-16 16:49:02 [INFO] [TRAIN] epoch=32, iter=11840/80000, loss=0.2533, lr=0.008658, batch_cost=0.5333, reader_cost=0.0001 | ETA 10:05:46 2020-12-16 16:49:07 [INFO] [TRAIN] epoch=32, iter=11850/80000, loss=0.2447, lr=0.008657, batch_cost=0.5347, reader_cost=0.0001 | ETA 10:07:21 2020-12-16 16:49:13 [INFO] [TRAIN] epoch=32, iter=11860/80000, loss=0.2250, lr=0.008655, batch_cost=0.5429, reader_cost=0.0001 | ETA 10:16:34 2020-12-16 16:49:18 [INFO] [TRAIN] epoch=32, iter=11870/80000, loss=0.2035, lr=0.008654, batch_cost=0.5376, reader_cost=0.0001 | ETA 10:10:28 2020-12-16 16:49:24 [INFO] [TRAIN] epoch=32, iter=11880/80000, loss=0.2073, lr=0.008653, batch_cost=0.5497, reader_cost=0.0001 | ETA 10:24:08 2020-12-16 16:49:32 [INFO] [TRAIN] epoch=32, iter=11890/80000, loss=0.2186, lr=0.008652, batch_cost=0.8280, reader_cost=0.0011 | ETA 15:39:56 2020-12-16 16:49:41 [INFO] [TRAIN] epoch=32, iter=11900/80000, loss=0.2450, lr=0.008651, batch_cost=0.9270, reader_cost=0.0022 | ETA 17:32:06 2020-12-16 16:49:50 [INFO] [TRAIN] epoch=33, iter=11910/80000, loss=0.2444, lr=0.008650, batch_cost=0.8986, reader_cost=0.0783 | ETA 16:59:42 2020-12-16 16:50:00 [INFO] [TRAIN] epoch=33, iter=11920/80000, loss=0.2333, lr=0.008649, batch_cost=1.0344, reader_cost=0.0113 | ETA 19:33:40 2020-12-16 16:50:10 [INFO] [TRAIN] epoch=33, iter=11930/80000, loss=0.3667, lr=0.008647, batch_cost=0.9574, reader_cost=0.0002 | ETA 18:06:10 2020-12-16 16:50:20 [INFO] [TRAIN] epoch=33, iter=11940/80000, loss=0.2884, lr=0.008646, batch_cost=0.9498, reader_cost=0.0034 | ETA 17:57:22 2020-12-16 16:50:29 [INFO] [TRAIN] epoch=33, iter=11950/80000, loss=0.3044, lr=0.008645, batch_cost=0.9208, reader_cost=0.0047 | ETA 17:24:22 2020-12-16 16:50:37 [INFO] [TRAIN] epoch=33, iter=11960/80000, loss=0.2932, lr=0.008644, batch_cost=0.8161, reader_cost=0.0001 | ETA 15:25:25 2020-12-16 16:50:46 [INFO] [TRAIN] epoch=33, iter=11970/80000, loss=0.2584, lr=0.008643, batch_cost=0.9253, reader_cost=0.0002 | ETA 17:29:09 2020-12-16 16:50:54 [INFO] [TRAIN] epoch=33, iter=11980/80000, loss=0.1743, lr=0.008642, batch_cost=0.7494, reader_cost=0.0002 | ETA 14:09:35 2020-12-16 16:50:59 [INFO] [TRAIN] epoch=33, iter=11990/80000, loss=0.3807, lr=0.008641, batch_cost=0.5471, reader_cost=0.0009 | ETA 10:20:06 2020-12-16 16:51:05 [INFO] [TRAIN] epoch=33, iter=12000/80000, loss=0.2255, lr=0.008639, batch_cost=0.5997, reader_cost=0.0001 | ETA 11:19:42 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 16:51:05 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 16:51:45 [INFO] [EVAL] #Images=500 mIoU=0.6961 Acc=0.9476 Kappa=0.9320 2020-12-16 16:51:45 [INFO] [EVAL] Class IoU: [0.9735 0.7996 0.9011 0.4571 0.5167 0.5384 0.6467 0.7316 0.9106 0.5351 0.9272 0.7761 0.546 0.9269 0.6473 0.7339 0.3868 0.533 0.7383] 2020-12-16 16:51:45 [INFO] [EVAL] Class Acc: [0.9912 0.8646 0.9371 0.6466 0.7975 0.7544 0.7728 0.8692 0.948 0.8776 0.9552 0.849 0.736 0.9583 0.9086 0.7835 0.8996 0.7868 0.8395] 2020-12-16 16:51:50 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 16:51:56 [INFO] [TRAIN] epoch=33, iter=12010/80000, loss=0.3679, lr=0.008638, batch_cost=0.6449, reader_cost=0.0019 | ETA 12:10:47 2020-12-16 16:52:04 [INFO] [TRAIN] epoch=33, iter=12020/80000, loss=0.2072, lr=0.008637, batch_cost=0.7939, reader_cost=0.0002 | ETA 14:59:27 2020-12-16 16:52:12 [INFO] [TRAIN] epoch=33, iter=12030/80000, loss=0.2374, lr=0.008636, batch_cost=0.7330, reader_cost=0.0005 | ETA 13:50:19 2020-12-16 16:52:19 [INFO] [TRAIN] epoch=33, iter=12040/80000, loss=0.2393, lr=0.008635, batch_cost=0.7517, reader_cost=0.0014 | ETA 14:11:24 2020-12-16 16:52:27 [INFO] [TRAIN] epoch=33, iter=12050/80000, loss=0.2476, lr=0.008634, batch_cost=0.8272, reader_cost=0.0041 | ETA 15:36:48 2020-12-16 16:52:35 [INFO] [TRAIN] epoch=33, iter=12060/80000, loss=0.2125, lr=0.008633, batch_cost=0.7603, reader_cost=0.0020 | ETA 14:20:55 2020-12-16 16:52:43 [INFO] [TRAIN] epoch=33, iter=12070/80000, loss=0.3851, lr=0.008631, batch_cost=0.7802, reader_cost=0.0004 | ETA 14:43:17 2020-12-16 16:52:50 [INFO] [TRAIN] epoch=33, iter=12080/80000, loss=0.3807, lr=0.008630, batch_cost=0.7420, reader_cost=0.0019 | ETA 13:59:58 2020-12-16 16:52:58 [INFO] [TRAIN] epoch=33, iter=12090/80000, loss=0.3571, lr=0.008629, batch_cost=0.7559, reader_cost=0.0005 | ETA 14:15:30 2020-12-16 16:53:05 [INFO] [TRAIN] epoch=33, iter=12100/80000, loss=0.2445, lr=0.008628, batch_cost=0.7001, reader_cost=0.0026 | ETA 13:12:15 2020-12-16 16:53:13 [INFO] [TRAIN] epoch=33, iter=12110/80000, loss=0.4045, lr=0.008627, batch_cost=0.7882, reader_cost=0.0016 | ETA 14:51:54 2020-12-16 16:53:22 [INFO] [TRAIN] epoch=33, iter=12120/80000, loss=0.3042, lr=0.008626, batch_cost=0.9172, reader_cost=0.0033 | ETA 17:17:40 2020-12-16 16:53:30 [INFO] [TRAIN] epoch=33, iter=12130/80000, loss=0.2262, lr=0.008625, batch_cost=0.7961, reader_cost=0.0030 | ETA 15:00:28 2020-12-16 16:53:38 [INFO] [TRAIN] epoch=33, iter=12140/80000, loss=0.3148, lr=0.008623, batch_cost=0.8455, reader_cost=0.0022 | ETA 15:56:18 2020-12-16 16:53:46 [INFO] [TRAIN] epoch=33, iter=12150/80000, loss=0.2749, lr=0.008622, batch_cost=0.7797, reader_cost=0.0023 | ETA 14:41:44 2020-12-16 16:53:55 [INFO] [TRAIN] epoch=33, iter=12160/80000, loss=0.2183, lr=0.008621, batch_cost=0.8685, reader_cost=0.0068 | ETA 16:21:57 2020-12-16 16:54:03 [INFO] [TRAIN] epoch=33, iter=12170/80000, loss=0.2637, lr=0.008620, batch_cost=0.7724, reader_cost=0.0018 | ETA 14:33:09 2020-12-16 16:54:09 [INFO] [TRAIN] epoch=33, iter=12180/80000, loss=0.3853, lr=0.008619, batch_cost=0.6945, reader_cost=0.0020 | ETA 13:05:01 2020-12-16 16:54:18 [INFO] [TRAIN] epoch=33, iter=12190/80000, loss=0.1810, lr=0.008618, batch_cost=0.8203, reader_cost=0.0008 | ETA 15:27:04 2020-12-16 16:54:26 [INFO] [TRAIN] epoch=33, iter=12200/80000, loss=0.2264, lr=0.008617, batch_cost=0.8024, reader_cost=0.0009 | ETA 15:06:41 2020-12-16 16:54:33 [INFO] [TRAIN] epoch=33, iter=12210/80000, loss=0.3244, lr=0.008615, batch_cost=0.7743, reader_cost=0.0077 | ETA 14:34:49 2020-12-16 16:54:43 [INFO] [TRAIN] epoch=33, iter=12220/80000, loss=0.2077, lr=0.008614, batch_cost=0.9114, reader_cost=0.0013 | ETA 17:09:37 2020-12-16 16:54:50 [INFO] [TRAIN] epoch=33, iter=12230/80000, loss=0.2013, lr=0.008613, batch_cost=0.7857, reader_cost=0.0025 | ETA 14:47:28 2020-12-16 16:54:58 [INFO] [TRAIN] epoch=33, iter=12240/80000, loss=0.2164, lr=0.008612, batch_cost=0.7677, reader_cost=0.0042 | ETA 14:26:58 2020-12-16 16:55:06 [INFO] [TRAIN] epoch=33, iter=12250/80000, loss=0.2640, lr=0.008611, batch_cost=0.8242, reader_cost=0.0029 | ETA 15:30:42 2020-12-16 16:55:14 [INFO] [TRAIN] epoch=33, iter=12260/80000, loss=0.2087, lr=0.008610, batch_cost=0.8156, reader_cost=0.0029 | ETA 15:20:48 2020-12-16 16:55:22 [INFO] [TRAIN] epoch=33, iter=12270/80000, loss=0.2098, lr=0.008609, batch_cost=0.7542, reader_cost=0.0053 | ETA 14:11:21 2020-12-16 16:55:29 [INFO] [TRAIN] epoch=34, iter=12280/80000, loss=0.2184, lr=0.008607, batch_cost=0.7392, reader_cost=0.0745 | ETA 13:54:20 2020-12-16 16:55:38 [INFO] [TRAIN] epoch=34, iter=12290/80000, loss=0.1841, lr=0.008606, batch_cost=0.8834, reader_cost=0.0001 | ETA 16:36:54 2020-12-16 16:55:45 [INFO] [TRAIN] epoch=34, iter=12300/80000, loss=0.3829, lr=0.008605, batch_cost=0.7142, reader_cost=0.0049 | ETA 13:25:51 2020-12-16 16:55:51 [INFO] [TRAIN] epoch=34, iter=12310/80000, loss=0.2047, lr=0.008604, batch_cost=0.5619, reader_cost=0.0002 | ETA 10:33:57 2020-12-16 16:55:57 [INFO] [TRAIN] epoch=34, iter=12320/80000, loss=0.2495, lr=0.008603, batch_cost=0.5824, reader_cost=0.0001 | ETA 10:56:57 2020-12-16 16:56:02 [INFO] [TRAIN] epoch=34, iter=12330/80000, loss=0.2330, lr=0.008602, batch_cost=0.5539, reader_cost=0.0005 | ETA 10:24:42 2020-12-16 16:56:08 [INFO] [TRAIN] epoch=34, iter=12340/80000, loss=0.2440, lr=0.008600, batch_cost=0.5592, reader_cost=0.0001 | ETA 10:30:38 2020-12-16 16:56:15 [INFO] [TRAIN] epoch=34, iter=12350/80000, loss=0.3275, lr=0.008599, batch_cost=0.6687, reader_cost=0.0006 | ETA 12:33:58 2020-12-16 16:56:23 [INFO] [TRAIN] epoch=34, iter=12360/80000, loss=0.2884, lr=0.008598, batch_cost=0.8407, reader_cost=0.0005 | ETA 15:47:44 2020-12-16 16:56:31 [INFO] [TRAIN] epoch=34, iter=12370/80000, loss=0.1635, lr=0.008597, batch_cost=0.7887, reader_cost=0.0032 | ETA 14:49:02 2020-12-16 16:56:39 [INFO] [TRAIN] epoch=34, iter=12380/80000, loss=0.2057, lr=0.008596, batch_cost=0.8170, reader_cost=0.0040 | ETA 15:20:44 2020-12-16 16:56:47 [INFO] [TRAIN] epoch=34, iter=12390/80000, loss=0.3250, lr=0.008595, batch_cost=0.8187, reader_cost=0.0005 | ETA 15:22:31 2020-12-16 16:56:56 [INFO] [TRAIN] epoch=34, iter=12400/80000, loss=0.3705, lr=0.008594, batch_cost=0.8721, reader_cost=0.0011 | ETA 16:22:33 2020-12-16 16:57:05 [INFO] [TRAIN] epoch=34, iter=12410/80000, loss=0.2241, lr=0.008592, batch_cost=0.8608, reader_cost=0.0019 | ETA 16:09:39 2020-12-16 16:57:13 [INFO] [TRAIN] epoch=34, iter=12420/80000, loss=0.2795, lr=0.008591, batch_cost=0.7904, reader_cost=0.0001 | ETA 14:50:12 2020-12-16 16:57:21 [INFO] [TRAIN] epoch=34, iter=12430/80000, loss=0.1942, lr=0.008590, batch_cost=0.8555, reader_cost=0.0008 | ETA 16:03:28 2020-12-16 16:57:29 [INFO] [TRAIN] epoch=34, iter=12440/80000, loss=0.2231, lr=0.008589, batch_cost=0.7425, reader_cost=0.0007 | ETA 13:56:04 2020-12-16 16:57:36 [INFO] [TRAIN] epoch=34, iter=12450/80000, loss=0.3569, lr=0.008588, batch_cost=0.7680, reader_cost=0.0004 | ETA 14:24:37 2020-12-16 16:57:45 [INFO] [TRAIN] epoch=34, iter=12460/80000, loss=0.2991, lr=0.008587, batch_cost=0.8943, reader_cost=0.0031 | ETA 16:46:41 2020-12-16 16:57:53 [INFO] [TRAIN] epoch=34, iter=12470/80000, loss=0.1992, lr=0.008586, batch_cost=0.8239, reader_cost=0.0001 | ETA 15:27:16 2020-12-16 16:58:01 [INFO] [TRAIN] epoch=34, iter=12480/80000, loss=0.2969, lr=0.008584, batch_cost=0.7766, reader_cost=0.0006 | ETA 14:33:52 2020-12-16 16:58:09 [INFO] [TRAIN] epoch=34, iter=12490/80000, loss=0.3009, lr=0.008583, batch_cost=0.7811, reader_cost=0.0001 | ETA 14:38:51 2020-12-16 16:58:18 [INFO] [TRAIN] epoch=34, iter=12500/80000, loss=0.2599, lr=0.008582, batch_cost=0.9043, reader_cost=0.0002 | ETA 16:57:17 2020-12-16 16:58:27 [INFO] [TRAIN] epoch=34, iter=12510/80000, loss=0.1973, lr=0.008581, batch_cost=0.8733, reader_cost=0.0010 | ETA 16:22:18 2020-12-16 16:58:35 [INFO] [TRAIN] epoch=34, iter=12520/80000, loss=0.2458, lr=0.008580, batch_cost=0.8339, reader_cost=0.0013 | ETA 15:37:51 2020-12-16 16:58:42 [INFO] [TRAIN] epoch=34, iter=12530/80000, loss=0.2169, lr=0.008579, batch_cost=0.7243, reader_cost=0.0018 | ETA 13:34:30 2020-12-16 16:58:51 [INFO] [TRAIN] epoch=34, iter=12540/80000, loss=0.1886, lr=0.008578, batch_cost=0.8132, reader_cost=0.0038 | ETA 15:14:19 2020-12-16 16:58:58 [INFO] [TRAIN] epoch=34, iter=12550/80000, loss=0.2460, lr=0.008576, batch_cost=0.7852, reader_cost=0.0008 | ETA 14:42:39 2020-12-16 16:59:06 [INFO] [TRAIN] epoch=34, iter=12560/80000, loss=0.2593, lr=0.008575, batch_cost=0.7679, reader_cost=0.0022 | ETA 14:23:07 2020-12-16 16:59:14 [INFO] [TRAIN] epoch=34, iter=12570/80000, loss=0.2027, lr=0.008574, batch_cost=0.8228, reader_cost=0.0046 | ETA 15:24:41 2020-12-16 16:59:22 [INFO] [TRAIN] epoch=34, iter=12580/80000, loss=0.2788, lr=0.008573, batch_cost=0.7499, reader_cost=0.0024 | ETA 14:02:39 2020-12-16 16:59:30 [INFO] [TRAIN] epoch=34, iter=12590/80000, loss=0.1958, lr=0.008572, batch_cost=0.8636, reader_cost=0.0011 | ETA 16:10:12 2020-12-16 16:59:39 [INFO] [TRAIN] epoch=34, iter=12600/80000, loss=0.2914, lr=0.008571, batch_cost=0.8094, reader_cost=0.0012 | ETA 15:09:16 2020-12-16 16:59:47 [INFO] [TRAIN] epoch=34, iter=12610/80000, loss=0.2116, lr=0.008570, batch_cost=0.8367, reader_cost=0.0007 | ETA 15:39:45 2020-12-16 16:59:55 [INFO] [TRAIN] epoch=34, iter=12620/80000, loss=0.3536, lr=0.008568, batch_cost=0.8352, reader_cost=0.0001 | ETA 15:37:56 2020-12-16 17:00:03 [INFO] [TRAIN] epoch=34, iter=12630/80000, loss=0.1788, lr=0.008567, batch_cost=0.8156, reader_cost=0.0001 | ETA 15:15:47 2020-12-16 17:00:12 [INFO] [TRAIN] epoch=34, iter=12640/80000, loss=0.2970, lr=0.008566, batch_cost=0.8218, reader_cost=0.0009 | ETA 15:22:36 2020-12-16 17:00:20 [INFO] [TRAIN] epoch=35, iter=12650/80000, loss=0.2896, lr=0.008565, batch_cost=0.7990, reader_cost=0.0624 | ETA 14:56:54 2020-12-16 17:00:28 [INFO] [TRAIN] epoch=35, iter=12660/80000, loss=0.2811, lr=0.008564, batch_cost=0.8038, reader_cost=0.0035 | ETA 15:02:08 2020-12-16 17:00:36 [INFO] [TRAIN] epoch=35, iter=12670/80000, loss=0.3406, lr=0.008563, batch_cost=0.7989, reader_cost=0.0001 | ETA 14:56:26 2020-12-16 17:00:44 [INFO] [TRAIN] epoch=35, iter=12680/80000, loss=0.2628, lr=0.008562, batch_cost=0.8695, reader_cost=0.0002 | ETA 16:15:34 2020-12-16 17:00:52 [INFO] [TRAIN] epoch=35, iter=12690/80000, loss=0.2334, lr=0.008560, batch_cost=0.7996, reader_cost=0.0002 | ETA 14:57:02 2020-12-16 17:00:58 [INFO] [TRAIN] epoch=35, iter=12700/80000, loss=0.2279, lr=0.008559, batch_cost=0.5679, reader_cost=0.0015 | ETA 10:37:02 2020-12-16 17:01:04 [INFO] [TRAIN] epoch=35, iter=12710/80000, loss=0.3358, lr=0.008558, batch_cost=0.5708, reader_cost=0.0002 | ETA 10:40:12 2020-12-16 17:01:09 [INFO] [TRAIN] epoch=35, iter=12720/80000, loss=0.2407, lr=0.008557, batch_cost=0.5423, reader_cost=0.0003 | ETA 10:08:08 2020-12-16 17:01:15 [INFO] [TRAIN] epoch=35, iter=12730/80000, loss=0.4816, lr=0.008556, batch_cost=0.5558, reader_cost=0.0001 | ETA 10:23:05 2020-12-16 17:01:20 [INFO] [TRAIN] epoch=35, iter=12740/80000, loss=0.2569, lr=0.008555, batch_cost=0.5705, reader_cost=0.0008 | ETA 10:39:30 2020-12-16 17:01:28 [INFO] [TRAIN] epoch=35, iter=12750/80000, loss=0.3842, lr=0.008554, batch_cost=0.7681, reader_cost=0.0022 | ETA 14:20:51 2020-12-16 17:01:36 [INFO] [TRAIN] epoch=35, iter=12760/80000, loss=0.2125, lr=0.008552, batch_cost=0.8048, reader_cost=0.0032 | ETA 15:01:52 2020-12-16 17:01:44 [INFO] [TRAIN] epoch=35, iter=12770/80000, loss=0.2745, lr=0.008551, batch_cost=0.7988, reader_cost=0.0020 | ETA 14:55:06 2020-12-16 17:01:52 [INFO] [TRAIN] epoch=35, iter=12780/80000, loss=0.4683, lr=0.008550, batch_cost=0.7828, reader_cost=0.0019 | ETA 14:37:01 2020-12-16 17:02:00 [INFO] [TRAIN] epoch=35, iter=12790/80000, loss=0.2278, lr=0.008549, batch_cost=0.8033, reader_cost=0.0014 | ETA 14:59:49 2020-12-16 17:02:08 [INFO] [TRAIN] epoch=35, iter=12800/80000, loss=0.2686, lr=0.008548, batch_cost=0.8117, reader_cost=0.0001 | ETA 15:09:06 2020-12-16 17:02:16 [INFO] [TRAIN] epoch=35, iter=12810/80000, loss=0.3363, lr=0.008547, batch_cost=0.8020, reader_cost=0.0023 | ETA 14:58:08 2020-12-16 17:02:25 [INFO] [TRAIN] epoch=35, iter=12820/80000, loss=0.2371, lr=0.008546, batch_cost=0.8485, reader_cost=0.0020 | ETA 15:50:01 2020-12-16 17:02:33 [INFO] [TRAIN] epoch=35, iter=12830/80000, loss=0.2752, lr=0.008544, batch_cost=0.8533, reader_cost=0.0002 | ETA 15:55:19 2020-12-16 17:02:42 [INFO] [TRAIN] epoch=35, iter=12840/80000, loss=0.2685, lr=0.008543, batch_cost=0.8614, reader_cost=0.0062 | ETA 16:04:12 2020-12-16 17:02:50 [INFO] [TRAIN] epoch=35, iter=12850/80000, loss=0.3292, lr=0.008542, batch_cost=0.8205, reader_cost=0.0005 | ETA 15:18:14 2020-12-16 17:02:58 [INFO] [TRAIN] epoch=35, iter=12860/80000, loss=0.3604, lr=0.008541, batch_cost=0.7798, reader_cost=0.0005 | ETA 14:32:34 2020-12-16 17:03:06 [INFO] [TRAIN] epoch=35, iter=12870/80000, loss=0.2344, lr=0.008540, batch_cost=0.8300, reader_cost=0.0013 | ETA 15:28:39 2020-12-16 17:03:15 [INFO] [TRAIN] epoch=35, iter=12880/80000, loss=0.2694, lr=0.008539, batch_cost=0.8542, reader_cost=0.0002 | ETA 15:55:36 2020-12-16 17:03:23 [INFO] [TRAIN] epoch=35, iter=12890/80000, loss=0.2290, lr=0.008538, batch_cost=0.7941, reader_cost=0.0010 | ETA 14:48:11 2020-12-16 17:03:31 [INFO] [TRAIN] epoch=35, iter=12900/80000, loss=0.2463, lr=0.008536, batch_cost=0.8256, reader_cost=0.0007 | ETA 15:23:18 2020-12-16 17:03:38 [INFO] [TRAIN] epoch=35, iter=12910/80000, loss=0.2366, lr=0.008535, batch_cost=0.6910, reader_cost=0.0006 | ETA 12:52:39 2020-12-16 17:03:46 [INFO] [TRAIN] epoch=35, iter=12920/80000, loss=0.2733, lr=0.008534, batch_cost=0.8267, reader_cost=0.0023 | ETA 15:24:15 2020-12-16 17:03:54 [INFO] [TRAIN] epoch=35, iter=12930/80000, loss=0.1783, lr=0.008533, batch_cost=0.7795, reader_cost=0.0039 | ETA 14:31:19 2020-12-16 17:04:02 [INFO] [TRAIN] epoch=35, iter=12940/80000, loss=0.2875, lr=0.008532, batch_cost=0.8606, reader_cost=0.0017 | ETA 16:01:49 2020-12-16 17:04:11 [INFO] [TRAIN] epoch=35, iter=12950/80000, loss=0.2112, lr=0.008531, batch_cost=0.8228, reader_cost=0.0001 | ETA 15:19:27 2020-12-16 17:04:20 [INFO] [TRAIN] epoch=35, iter=12960/80000, loss=0.2165, lr=0.008530, batch_cost=0.9544, reader_cost=0.0031 | ETA 17:46:26 2020-12-16 17:04:29 [INFO] [TRAIN] epoch=35, iter=12970/80000, loss=0.2102, lr=0.008528, batch_cost=0.8784, reader_cost=0.0046 | ETA 16:21:21 2020-12-16 17:04:37 [INFO] [TRAIN] epoch=35, iter=12980/80000, loss=0.2527, lr=0.008527, batch_cost=0.8168, reader_cost=0.0026 | ETA 15:12:24 2020-12-16 17:04:46 [INFO] [TRAIN] epoch=35, iter=12990/80000, loss=0.2692, lr=0.008526, batch_cost=0.8918, reader_cost=0.0014 | ETA 16:35:58 2020-12-16 17:04:55 [INFO] [TRAIN] epoch=35, iter=13000/80000, loss=0.2455, lr=0.008525, batch_cost=0.8832, reader_cost=0.0004 | ETA 16:26:11 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 17:04:55 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 17:05:47 [INFO] [EVAL] #Images=500 mIoU=0.6728 Acc=0.9477 Kappa=0.9320 2020-12-16 17:05:47 [INFO] [EVAL] Class IoU: [0.9742 0.798 0.9018 0.398 0.5226 0.5456 0.6475 0.7239 0.9113 0.6004 0.9377 0.7778 0.5446 0.9262 0.6989 0.6505 0. 0.5013 0.7227] 2020-12-16 17:05:47 [INFO] [EVAL] Class Acc: [0.9858 0.8874 0.9324 0.7551 0.7018 0.75 0.7626 0.8964 0.9552 0.8068 0.9644 0.8786 0.7579 0.9748 0.7675 0.7464 0. 0.7293 0.7912] 2020-12-16 17:05:54 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 17:06:02 [INFO] [TRAIN] epoch=35, iter=13010/80000, loss=0.3602, lr=0.008524, batch_cost=0.8249, reader_cost=0.0021 | ETA 15:21:02 2020-12-16 17:06:09 [INFO] [TRAIN] epoch=35, iter=13020/80000, loss=0.2517, lr=0.008523, batch_cost=0.6959, reader_cost=0.0001 | ETA 12:56:53 2020-12-16 17:06:18 [INFO] [TRAIN] epoch=36, iter=13030/80000, loss=0.1852, lr=0.008522, batch_cost=0.8635, reader_cost=0.0545 | ETA 16:03:49 2020-12-16 17:06:25 [INFO] [TRAIN] epoch=36, iter=13040/80000, loss=0.2024, lr=0.008520, batch_cost=0.7393, reader_cost=0.0001 | ETA 13:45:01 2020-12-16 17:06:35 [INFO] [TRAIN] epoch=36, iter=13050/80000, loss=0.2336, lr=0.008519, batch_cost=0.9514, reader_cost=0.0017 | ETA 17:41:35 2020-12-16 17:06:43 [INFO] [TRAIN] epoch=36, iter=13060/80000, loss=0.2251, lr=0.008518, batch_cost=0.8302, reader_cost=0.0018 | ETA 15:26:12 2020-12-16 17:06:51 [INFO] [TRAIN] epoch=36, iter=13070/80000, loss=0.2756, lr=0.008517, batch_cost=0.8184, reader_cost=0.0001 | ETA 15:12:54 2020-12-16 17:06:57 [INFO] [TRAIN] epoch=36, iter=13080/80000, loss=0.2282, lr=0.008516, batch_cost=0.5687, reader_cost=0.0001 | ETA 10:34:18 2020-12-16 17:07:03 [INFO] [TRAIN] epoch=36, iter=13090/80000, loss=0.2102, lr=0.008515, batch_cost=0.6142, reader_cost=0.0011 | ETA 11:24:56 2020-12-16 17:07:09 [INFO] [TRAIN] epoch=36, iter=13100/80000, loss=0.1598, lr=0.008514, batch_cost=0.5574, reader_cost=0.0001 | ETA 10:21:28 2020-12-16 17:07:14 [INFO] [TRAIN] epoch=36, iter=13110/80000, loss=0.2243, lr=0.008512, batch_cost=0.5601, reader_cost=0.0003 | ETA 10:24:22 2020-12-16 17:07:20 [INFO] [TRAIN] epoch=36, iter=13120/80000, loss=0.2749, lr=0.008511, batch_cost=0.6013, reader_cost=0.0001 | ETA 11:10:17 2020-12-16 17:07:29 [INFO] [TRAIN] epoch=36, iter=13130/80000, loss=0.3143, lr=0.008510, batch_cost=0.8265, reader_cost=0.0018 | ETA 15:21:06 2020-12-16 17:07:37 [INFO] [TRAIN] epoch=36, iter=13140/80000, loss=0.2717, lr=0.008509, batch_cost=0.8654, reader_cost=0.0005 | ETA 16:04:19 2020-12-16 17:07:46 [INFO] [TRAIN] epoch=36, iter=13150/80000, loss=0.2257, lr=0.008508, batch_cost=0.9036, reader_cost=0.0028 | ETA 16:46:46 2020-12-16 17:07:56 [INFO] [TRAIN] epoch=36, iter=13160/80000, loss=0.3181, lr=0.008507, batch_cost=0.9967, reader_cost=0.0007 | ETA 18:30:21 2020-12-16 17:08:04 [INFO] [TRAIN] epoch=36, iter=13170/80000, loss=0.2031, lr=0.008505, batch_cost=0.7912, reader_cost=0.0001 | ETA 14:41:16 2020-12-16 17:08:14 [INFO] [TRAIN] epoch=36, iter=13180/80000, loss=0.2294, lr=0.008504, batch_cost=0.9447, reader_cost=0.0006 | ETA 17:32:03 2020-12-16 17:08:22 [INFO] [TRAIN] epoch=36, iter=13190/80000, loss=0.2046, lr=0.008503, batch_cost=0.7970, reader_cost=0.0001 | ETA 14:47:26 2020-12-16 17:08:30 [INFO] [TRAIN] epoch=36, iter=13200/80000, loss=0.3500, lr=0.008502, batch_cost=0.8361, reader_cost=0.0004 | ETA 15:30:51 2020-12-16 17:08:39 [INFO] [TRAIN] epoch=36, iter=13210/80000, loss=0.2729, lr=0.008501, batch_cost=0.9090, reader_cost=0.0013 | ETA 16:51:50 2020-12-16 17:08:48 [INFO] [TRAIN] epoch=36, iter=13220/80000, loss=0.2400, lr=0.008500, batch_cost=0.8904, reader_cost=0.0001 | ETA 16:30:57 2020-12-16 17:08:57 [INFO] [TRAIN] epoch=36, iter=13230/80000, loss=0.2866, lr=0.008499, batch_cost=0.9042, reader_cost=0.0012 | ETA 16:46:10 2020-12-16 17:09:06 [INFO] [TRAIN] epoch=36, iter=13240/80000, loss=0.2274, lr=0.008497, batch_cost=0.9161, reader_cost=0.0017 | ETA 16:59:20 2020-12-16 17:09:15 [INFO] [TRAIN] epoch=36, iter=13250/80000, loss=0.4844, lr=0.008496, batch_cost=0.8654, reader_cost=0.0029 | ETA 16:02:44 2020-12-16 17:09:23 [INFO] [TRAIN] epoch=36, iter=13260/80000, loss=0.2421, lr=0.008495, batch_cost=0.8137, reader_cost=0.0011 | ETA 15:05:03 2020-12-16 17:09:32 [INFO] [TRAIN] epoch=36, iter=13270/80000, loss=0.1899, lr=0.008494, batch_cost=0.8853, reader_cost=0.0002 | ETA 16:24:37 2020-12-16 17:09:40 [INFO] [TRAIN] epoch=36, iter=13280/80000, loss=0.2429, lr=0.008493, batch_cost=0.8251, reader_cost=0.0014 | ETA 15:17:29 2020-12-16 17:09:48 [INFO] [TRAIN] epoch=36, iter=13290/80000, loss=0.2087, lr=0.008492, batch_cost=0.8124, reader_cost=0.0034 | ETA 15:03:12 2020-12-16 17:09:57 [INFO] [TRAIN] epoch=36, iter=13300/80000, loss=0.2330, lr=0.008491, batch_cost=0.8375, reader_cost=0.0020 | ETA 15:30:59 2020-12-16 17:10:06 [INFO] [TRAIN] epoch=36, iter=13310/80000, loss=0.3131, lr=0.008489, batch_cost=0.9386, reader_cost=0.0004 | ETA 17:23:18 2020-12-16 17:10:15 [INFO] [TRAIN] epoch=36, iter=13320/80000, loss=0.3504, lr=0.008488, batch_cost=0.8795, reader_cost=0.0001 | ETA 16:17:27 2020-12-16 17:10:24 [INFO] [TRAIN] epoch=36, iter=13330/80000, loss=0.2487, lr=0.008487, batch_cost=0.9262, reader_cost=0.0025 | ETA 17:09:11 2020-12-16 17:10:33 [INFO] [TRAIN] epoch=36, iter=13340/80000, loss=0.2790, lr=0.008486, batch_cost=0.8482, reader_cost=0.0009 | ETA 15:42:23 2020-12-16 17:10:41 [INFO] [TRAIN] epoch=36, iter=13350/80000, loss=0.2533, lr=0.008485, batch_cost=0.8754, reader_cost=0.0017 | ETA 16:12:22 2020-12-16 17:10:50 [INFO] [TRAIN] epoch=36, iter=13360/80000, loss=0.3881, lr=0.008484, batch_cost=0.8581, reader_cost=0.0027 | ETA 15:53:02 2020-12-16 17:10:58 [INFO] [TRAIN] epoch=36, iter=13370/80000, loss=0.3705, lr=0.008483, batch_cost=0.8285, reader_cost=0.0026 | ETA 15:20:06 2020-12-16 17:11:06 [INFO] [TRAIN] epoch=36, iter=13380/80000, loss=0.2197, lr=0.008481, batch_cost=0.7971, reader_cost=0.0040 | ETA 14:45:05 2020-12-16 17:11:13 [INFO] [TRAIN] epoch=36, iter=13390/80000, loss=0.2177, lr=0.008480, batch_cost=0.7264, reader_cost=0.0005 | ETA 13:26:23 2020-12-16 17:11:22 [INFO] [TRAIN] epoch=37, iter=13400/80000, loss=0.2952, lr=0.008479, batch_cost=0.8818, reader_cost=0.0545 | ETA 16:18:46 2020-12-16 17:11:31 [INFO] [TRAIN] epoch=37, iter=13410/80000, loss=0.3318, lr=0.008478, batch_cost=0.8485, reader_cost=0.0004 | ETA 15:41:42 2020-12-16 17:11:38 [INFO] [TRAIN] epoch=37, iter=13420/80000, loss=0.2022, lr=0.008477, batch_cost=0.7656, reader_cost=0.0008 | ETA 14:09:35 2020-12-16 17:11:46 [INFO] [TRAIN] epoch=37, iter=13430/80000, loss=0.3943, lr=0.008476, batch_cost=0.7419, reader_cost=0.0061 | ETA 13:43:07 2020-12-16 17:11:54 [INFO] [TRAIN] epoch=37, iter=13440/80000, loss=0.2312, lr=0.008475, batch_cost=0.7945, reader_cost=0.0010 | ETA 14:41:23 2020-12-16 17:12:02 [INFO] [TRAIN] epoch=37, iter=13450/80000, loss=0.2596, lr=0.008473, batch_cost=0.7662, reader_cost=0.0014 | ETA 14:09:47 2020-12-16 17:12:10 [INFO] [TRAIN] epoch=37, iter=13460/80000, loss=0.2926, lr=0.008472, batch_cost=0.8620, reader_cost=0.0017 | ETA 15:55:54 2020-12-16 17:12:19 [INFO] [TRAIN] epoch=37, iter=13470/80000, loss=0.3389, lr=0.008471, batch_cost=0.8979, reader_cost=0.0001 | ETA 16:35:39 2020-12-16 17:12:25 [INFO] [TRAIN] epoch=37, iter=13480/80000, loss=0.2616, lr=0.008470, batch_cost=0.6236, reader_cost=0.0031 | ETA 11:31:23 2020-12-16 17:12:32 [INFO] [TRAIN] epoch=37, iter=13490/80000, loss=0.2678, lr=0.008469, batch_cost=0.6256, reader_cost=0.0001 | ETA 11:33:27 2020-12-16 17:12:37 [INFO] [TRAIN] epoch=37, iter=13500/80000, loss=0.1809, lr=0.008468, batch_cost=0.5359, reader_cost=0.0005 | ETA 09:53:58 2020-12-16 17:12:43 [INFO] [TRAIN] epoch=37, iter=13510/80000, loss=0.3204, lr=0.008467, batch_cost=0.5606, reader_cost=0.0004 | ETA 10:21:11 2020-12-16 17:12:48 [INFO] [TRAIN] epoch=37, iter=13520/80000, loss=0.2848, lr=0.008465, batch_cost=0.5773, reader_cost=0.0011 | ETA 10:39:37 2020-12-16 17:12:57 [INFO] [TRAIN] epoch=37, iter=13530/80000, loss=0.2872, lr=0.008464, batch_cost=0.8245, reader_cost=0.0006 | ETA 15:13:25 2020-12-16 17:13:05 [INFO] [TRAIN] epoch=37, iter=13540/80000, loss=0.3030, lr=0.008463, batch_cost=0.8732, reader_cost=0.0003 | ETA 16:07:15 2020-12-16 17:13:14 [INFO] [TRAIN] epoch=37, iter=13550/80000, loss=0.2860, lr=0.008462, batch_cost=0.8854, reader_cost=0.0001 | ETA 16:20:37 2020-12-16 17:13:23 [INFO] [TRAIN] epoch=37, iter=13560/80000, loss=0.2302, lr=0.008461, batch_cost=0.8598, reader_cost=0.0037 | ETA 15:52:02 2020-12-16 17:13:31 [INFO] [TRAIN] epoch=37, iter=13570/80000, loss=0.3361, lr=0.008460, batch_cost=0.8065, reader_cost=0.0035 | ETA 14:52:54 2020-12-16 17:13:38 [INFO] [TRAIN] epoch=37, iter=13580/80000, loss=0.2660, lr=0.008459, batch_cost=0.7248, reader_cost=0.0005 | ETA 13:22:21 2020-12-16 17:13:46 [INFO] [TRAIN] epoch=37, iter=13590/80000, loss=0.2369, lr=0.008457, batch_cost=0.8193, reader_cost=0.0001 | ETA 15:06:51 2020-12-16 17:13:54 [INFO] [TRAIN] epoch=37, iter=13600/80000, loss=0.2744, lr=0.008456, batch_cost=0.7489, reader_cost=0.0008 | ETA 13:48:47 2020-12-16 17:14:02 [INFO] [TRAIN] epoch=37, iter=13610/80000, loss=0.3212, lr=0.008455, batch_cost=0.7961, reader_cost=0.0012 | ETA 14:40:56 2020-12-16 17:14:10 [INFO] [TRAIN] epoch=37, iter=13620/80000, loss=0.1952, lr=0.008454, batch_cost=0.7886, reader_cost=0.0012 | ETA 14:32:30 2020-12-16 17:14:17 [INFO] [TRAIN] epoch=37, iter=13630/80000, loss=0.2830, lr=0.008453, batch_cost=0.7601, reader_cost=0.0024 | ETA 14:00:46 2020-12-16 17:14:25 [INFO] [TRAIN] epoch=37, iter=13640/80000, loss=0.3002, lr=0.008452, batch_cost=0.7424, reader_cost=0.0011 | ETA 13:41:02 2020-12-16 17:14:32 [INFO] [TRAIN] epoch=37, iter=13650/80000, loss=0.2696, lr=0.008450, batch_cost=0.7790, reader_cost=0.0002 | ETA 14:21:26 2020-12-16 17:14:40 [INFO] [TRAIN] epoch=37, iter=13660/80000, loss=0.2650, lr=0.008449, batch_cost=0.7815, reader_cost=0.0004 | ETA 14:24:07 2020-12-16 17:14:49 [INFO] [TRAIN] epoch=37, iter=13670/80000, loss=0.3105, lr=0.008448, batch_cost=0.8222, reader_cost=0.0001 | ETA 15:08:57 2020-12-16 17:14:55 [INFO] [TRAIN] epoch=37, iter=13680/80000, loss=0.1994, lr=0.008447, batch_cost=0.6899, reader_cost=0.0040 | ETA 12:42:36 2020-12-16 17:15:03 [INFO] [TRAIN] epoch=37, iter=13690/80000, loss=0.2012, lr=0.008446, batch_cost=0.7463, reader_cost=0.0002 | ETA 13:44:44 2020-12-16 17:15:12 [INFO] [TRAIN] epoch=37, iter=13700/80000, loss=0.1984, lr=0.008445, batch_cost=0.8647, reader_cost=0.0049 | ETA 15:55:32 2020-12-16 17:15:18 [INFO] [TRAIN] epoch=37, iter=13710/80000, loss=0.2471, lr=0.008444, batch_cost=0.6796, reader_cost=0.0007 | ETA 12:30:52 2020-12-16 17:15:26 [INFO] [TRAIN] epoch=37, iter=13720/80000, loss=0.1736, lr=0.008442, batch_cost=0.8153, reader_cost=0.0004 | ETA 15:00:38 2020-12-16 17:15:34 [INFO] [TRAIN] epoch=37, iter=13730/80000, loss=0.2177, lr=0.008441, batch_cost=0.7850, reader_cost=0.0002 | ETA 14:27:01 2020-12-16 17:15:42 [INFO] [TRAIN] epoch=37, iter=13740/80000, loss=0.2497, lr=0.008440, batch_cost=0.7984, reader_cost=0.0015 | ETA 14:41:40 2020-12-16 17:15:50 [INFO] [TRAIN] epoch=37, iter=13750/80000, loss=0.1952, lr=0.008439, batch_cost=0.8038, reader_cost=0.0015 | ETA 14:47:29 2020-12-16 17:15:59 [INFO] [TRAIN] epoch=37, iter=13760/80000, loss=0.2606, lr=0.008438, batch_cost=0.8160, reader_cost=0.0034 | ETA 15:00:49 2020-12-16 17:16:07 [INFO] [TRAIN] epoch=38, iter=13770/80000, loss=0.2389, lr=0.008437, batch_cost=0.8298, reader_cost=0.0552 | ETA 15:15:59 2020-12-16 17:16:15 [INFO] [TRAIN] epoch=38, iter=13780/80000, loss=0.2280, lr=0.008436, batch_cost=0.8660, reader_cost=0.0001 | ETA 15:55:45 2020-12-16 17:16:23 [INFO] [TRAIN] epoch=38, iter=13790/80000, loss=0.3869, lr=0.008434, batch_cost=0.7701, reader_cost=0.0010 | ETA 14:09:47 2020-12-16 17:16:30 [INFO] [TRAIN] epoch=38, iter=13800/80000, loss=0.4125, lr=0.008433, batch_cost=0.7243, reader_cost=0.0015 | ETA 13:19:11 2020-12-16 17:16:38 [INFO] [TRAIN] epoch=38, iter=13810/80000, loss=0.2644, lr=0.008432, batch_cost=0.7630, reader_cost=0.0053 | ETA 14:01:44 2020-12-16 17:16:46 [INFO] [TRAIN] epoch=38, iter=13820/80000, loss=0.1963, lr=0.008431, batch_cost=0.7527, reader_cost=0.0001 | ETA 13:50:13 2020-12-16 17:16:54 [INFO] [TRAIN] epoch=38, iter=13830/80000, loss=0.2507, lr=0.008430, batch_cost=0.8228, reader_cost=0.0002 | ETA 15:07:22 2020-12-16 17:17:02 [INFO] [TRAIN] epoch=38, iter=13840/80000, loss=0.2545, lr=0.008429, batch_cost=0.8606, reader_cost=0.0017 | ETA 15:48:57 2020-12-16 17:17:11 [INFO] [TRAIN] epoch=38, iter=13850/80000, loss=0.2768, lr=0.008428, batch_cost=0.8431, reader_cost=0.0024 | ETA 15:29:33 2020-12-16 17:17:16 [INFO] [TRAIN] epoch=38, iter=13860/80000, loss=0.2561, lr=0.008426, batch_cost=0.5613, reader_cost=0.0001 | ETA 10:18:46 2020-12-16 17:17:22 [INFO] [TRAIN] epoch=38, iter=13870/80000, loss=0.2320, lr=0.008425, batch_cost=0.5886, reader_cost=0.0001 | ETA 10:48:44 2020-12-16 17:17:28 [INFO] [TRAIN] epoch=38, iter=13880/80000, loss=0.2046, lr=0.008424, batch_cost=0.5532, reader_cost=0.0001 | ETA 10:09:40 2020-12-16 17:17:33 [INFO] [TRAIN] epoch=38, iter=13890/80000, loss=0.2365, lr=0.008423, batch_cost=0.5587, reader_cost=0.0001 | ETA 10:15:38 2020-12-16 17:17:39 [INFO] [TRAIN] epoch=38, iter=13900/80000, loss=0.3134, lr=0.008422, batch_cost=0.5642, reader_cost=0.0001 | ETA 10:21:31 2020-12-16 17:17:47 [INFO] [TRAIN] epoch=38, iter=13910/80000, loss=0.2073, lr=0.008421, batch_cost=0.7499, reader_cost=0.0029 | ETA 13:46:02 2020-12-16 17:17:54 [INFO] [TRAIN] epoch=38, iter=13920/80000, loss=0.2947, lr=0.008420, batch_cost=0.7334, reader_cost=0.0017 | ETA 13:27:41 2020-12-16 17:18:02 [INFO] [TRAIN] epoch=38, iter=13930/80000, loss=0.1779, lr=0.008418, batch_cost=0.8203, reader_cost=0.0014 | ETA 15:03:16 2020-12-16 17:18:08 [INFO] [TRAIN] epoch=38, iter=13940/80000, loss=0.2506, lr=0.008417, batch_cost=0.6126, reader_cost=0.0001 | ETA 11:14:27 2020-12-16 17:18:14 [INFO] [TRAIN] epoch=38, iter=13950/80000, loss=0.2932, lr=0.008416, batch_cost=0.5499, reader_cost=0.0001 | ETA 10:05:23 2020-12-16 17:18:19 [INFO] [TRAIN] epoch=38, iter=13960/80000, loss=0.2343, lr=0.008415, batch_cost=0.5507, reader_cost=0.0002 | ETA 10:06:06 2020-12-16 17:18:25 [INFO] [TRAIN] epoch=38, iter=13970/80000, loss=0.2937, lr=0.008414, batch_cost=0.5526, reader_cost=0.0001 | ETA 10:08:07 2020-12-16 17:18:30 [INFO] [TRAIN] epoch=38, iter=13980/80000, loss=0.2570, lr=0.008413, batch_cost=0.5307, reader_cost=0.0001 | ETA 09:43:58 2020-12-16 17:18:36 [INFO] [TRAIN] epoch=38, iter=13990/80000, loss=0.3219, lr=0.008412, batch_cost=0.5487, reader_cost=0.0001 | ETA 10:03:37 2020-12-16 17:18:41 [INFO] [TRAIN] epoch=38, iter=14000/80000, loss=0.3837, lr=0.008410, batch_cost=0.5454, reader_cost=0.0001 | ETA 09:59:58 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 17:18:41 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 17:19:25 [INFO] [EVAL] #Images=500 mIoU=0.6882 Acc=0.9484 Kappa=0.9330 2020-12-16 17:19:25 [INFO] [EVAL] Class IoU: [0.9754 0.8113 0.9037 0.3459 0.5263 0.546 0.6482 0.7368 0.9145 0.6229 0.9385 0.7544 0.4031 0.9054 0.5795 0.567 0.6255 0.5325 0.7399] 2020-12-16 17:19:25 [INFO] [EVAL] Class Acc: [0.9919 0.8684 0.9382 0.8708 0.8048 0.7674 0.7689 0.8959 0.9513 0.8202 0.9693 0.8077 0.7834 0.9193 0.9471 0.9698 0.7365 0.7818 0.8304] 2020-12-16 17:19:31 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 17:19:39 [INFO] [TRAIN] epoch=38, iter=14010/80000, loss=0.2712, lr=0.008409, batch_cost=0.8343, reader_cost=0.0034 | ETA 15:17:33 2020-12-16 17:19:47 [INFO] [TRAIN] epoch=38, iter=14020/80000, loss=0.2176, lr=0.008408, batch_cost=0.8192, reader_cost=0.0028 | ETA 15:00:49 2020-12-16 17:19:56 [INFO] [TRAIN] epoch=38, iter=14030/80000, loss=0.3345, lr=0.008407, batch_cost=0.8483, reader_cost=0.0021 | ETA 15:32:39 2020-12-16 17:20:03 [INFO] [TRAIN] epoch=38, iter=14040/80000, loss=0.2713, lr=0.008406, batch_cost=0.7510, reader_cost=0.0050 | ETA 13:45:36 2020-12-16 17:20:11 [INFO] [TRAIN] epoch=38, iter=14050/80000, loss=0.2045, lr=0.008405, batch_cost=0.7927, reader_cost=0.0006 | ETA 14:31:21 2020-12-16 17:20:19 [INFO] [TRAIN] epoch=38, iter=14060/80000, loss=0.2003, lr=0.008403, batch_cost=0.8089, reader_cost=0.0068 | ETA 14:49:02 2020-12-16 17:20:27 [INFO] [TRAIN] epoch=38, iter=14070/80000, loss=0.1598, lr=0.008402, batch_cost=0.7774, reader_cost=0.0082 | ETA 14:14:11 2020-12-16 17:20:35 [INFO] [TRAIN] epoch=38, iter=14080/80000, loss=0.2440, lr=0.008401, batch_cost=0.7474, reader_cost=0.0011 | ETA 13:41:10 2020-12-16 17:20:42 [INFO] [TRAIN] epoch=38, iter=14090/80000, loss=0.3054, lr=0.008400, batch_cost=0.7769, reader_cost=0.0014 | ETA 14:13:22 2020-12-16 17:20:51 [INFO] [TRAIN] epoch=38, iter=14100/80000, loss=0.2694, lr=0.008399, batch_cost=0.8331, reader_cost=0.0021 | ETA 15:14:59 2020-12-16 17:20:59 [INFO] [TRAIN] epoch=38, iter=14110/80000, loss=0.2026, lr=0.008398, batch_cost=0.8710, reader_cost=0.0010 | ETA 15:56:33 2020-12-16 17:21:07 [INFO] [TRAIN] epoch=38, iter=14120/80000, loss=0.2410, lr=0.008397, batch_cost=0.7861, reader_cost=0.0005 | ETA 14:23:06 2020-12-16 17:21:16 [INFO] [TRAIN] epoch=38, iter=14130/80000, loss=0.2927, lr=0.008395, batch_cost=0.8498, reader_cost=0.0015 | ETA 15:32:53 2020-12-16 17:21:23 [INFO] [TRAIN] epoch=39, iter=14140/80000, loss=0.4596, lr=0.008394, batch_cost=0.7529, reader_cost=0.0599 | ETA 13:46:28 2020-12-16 17:21:31 [INFO] [TRAIN] epoch=39, iter=14150/80000, loss=0.2279, lr=0.008393, batch_cost=0.7947, reader_cost=0.0044 | ETA 14:32:08 2020-12-16 17:21:39 [INFO] [TRAIN] epoch=39, iter=14160/80000, loss=0.2102, lr=0.008392, batch_cost=0.8053, reader_cost=0.0004 | ETA 14:43:41 2020-12-16 17:21:48 [INFO] [TRAIN] epoch=39, iter=14170/80000, loss=0.1909, lr=0.008391, batch_cost=0.9075, reader_cost=0.0028 | ETA 16:35:38 2020-12-16 17:21:57 [INFO] [TRAIN] epoch=39, iter=14180/80000, loss=0.2560, lr=0.008390, batch_cost=0.8316, reader_cost=0.0006 | ETA 15:12:16 2020-12-16 17:22:05 [INFO] [TRAIN] epoch=39, iter=14190/80000, loss=0.2514, lr=0.008389, batch_cost=0.8193, reader_cost=0.0006 | ETA 14:58:38 2020-12-16 17:22:13 [INFO] [TRAIN] epoch=39, iter=14200/80000, loss=0.2544, lr=0.008387, batch_cost=0.8356, reader_cost=0.0001 | ETA 15:16:20 2020-12-16 17:22:21 [INFO] [TRAIN] epoch=39, iter=14210/80000, loss=0.3253, lr=0.008386, batch_cost=0.8040, reader_cost=0.0007 | ETA 14:41:38 2020-12-16 17:22:29 [INFO] [TRAIN] epoch=39, iter=14220/80000, loss=0.2942, lr=0.008385, batch_cost=0.7714, reader_cost=0.0001 | ETA 14:05:40 2020-12-16 17:22:37 [INFO] [TRAIN] epoch=39, iter=14230/80000, loss=0.2667, lr=0.008384, batch_cost=0.8085, reader_cost=0.0001 | ETA 14:46:11 2020-12-16 17:22:42 [INFO] [TRAIN] epoch=39, iter=14240/80000, loss=0.2363, lr=0.008383, batch_cost=0.5434, reader_cost=0.0001 | ETA 09:55:30 2020-12-16 17:22:48 [INFO] [TRAIN] epoch=39, iter=14250/80000, loss=0.2154, lr=0.008382, batch_cost=0.5722, reader_cost=0.0007 | ETA 10:27:01 2020-12-16 17:22:54 [INFO] [TRAIN] epoch=39, iter=14260/80000, loss=0.2414, lr=0.008381, batch_cost=0.5464, reader_cost=0.0001 | ETA 09:58:42 2020-12-16 17:22:59 [INFO] [TRAIN] epoch=39, iter=14270/80000, loss=0.2863, lr=0.008379, batch_cost=0.5794, reader_cost=0.0001 | ETA 10:34:45 2020-12-16 17:23:05 [INFO] [TRAIN] epoch=39, iter=14280/80000, loss=0.3009, lr=0.008378, batch_cost=0.5590, reader_cost=0.0016 | ETA 10:12:14 2020-12-16 17:23:13 [INFO] [TRAIN] epoch=39, iter=14290/80000, loss=0.2301, lr=0.008377, batch_cost=0.7479, reader_cost=0.0002 | ETA 13:39:03 2020-12-16 17:23:21 [INFO] [TRAIN] epoch=39, iter=14300/80000, loss=0.2543, lr=0.008376, batch_cost=0.8078, reader_cost=0.0024 | ETA 14:44:33 2020-12-16 17:23:29 [INFO] [TRAIN] epoch=39, iter=14310/80000, loss=0.2419, lr=0.008375, batch_cost=0.8517, reader_cost=0.0031 | ETA 15:32:26 2020-12-16 17:23:37 [INFO] [TRAIN] epoch=39, iter=14320/80000, loss=0.3250, lr=0.008374, batch_cost=0.8295, reader_cost=0.0007 | ETA 15:07:59 2020-12-16 17:23:46 [INFO] [TRAIN] epoch=39, iter=14330/80000, loss=0.2066, lr=0.008373, batch_cost=0.8394, reader_cost=0.0001 | ETA 15:18:45 2020-12-16 17:23:54 [INFO] [TRAIN] epoch=39, iter=14340/80000, loss=0.2068, lr=0.008371, batch_cost=0.8021, reader_cost=0.0033 | ETA 14:37:45 2020-12-16 17:24:02 [INFO] [TRAIN] epoch=39, iter=14350/80000, loss=0.2686, lr=0.008370, batch_cost=0.8506, reader_cost=0.0003 | ETA 15:30:44 2020-12-16 17:24:10 [INFO] [TRAIN] epoch=39, iter=14360/80000, loss=0.2690, lr=0.008369, batch_cost=0.7774, reader_cost=0.0012 | ETA 14:10:25 2020-12-16 17:24:19 [INFO] [TRAIN] epoch=39, iter=14370/80000, loss=0.1629, lr=0.008368, batch_cost=0.8900, reader_cost=0.0001 | ETA 16:13:31 2020-12-16 17:24:27 [INFO] [TRAIN] epoch=39, iter=14380/80000, loss=0.2747, lr=0.008367, batch_cost=0.8023, reader_cost=0.0014 | ETA 14:37:27 2020-12-16 17:24:35 [INFO] [TRAIN] epoch=39, iter=14390/80000, loss=0.1975, lr=0.008366, batch_cost=0.8199, reader_cost=0.0007 | ETA 14:56:31 2020-12-16 17:24:43 [INFO] [TRAIN] epoch=39, iter=14400/80000, loss=0.3883, lr=0.008364, batch_cost=0.8082, reader_cost=0.0002 | ETA 14:43:38 2020-12-16 17:24:52 [INFO] [TRAIN] epoch=39, iter=14410/80000, loss=0.2569, lr=0.008363, batch_cost=0.8523, reader_cost=0.0015 | ETA 15:31:43 2020-12-16 17:25:00 [INFO] [TRAIN] epoch=39, iter=14420/80000, loss=0.2136, lr=0.008362, batch_cost=0.8376, reader_cost=0.0062 | ETA 15:15:29 2020-12-16 17:25:08 [INFO] [TRAIN] epoch=39, iter=14430/80000, loss=0.4145, lr=0.008361, batch_cost=0.7580, reader_cost=0.0006 | ETA 13:48:24 2020-12-16 17:25:16 [INFO] [TRAIN] epoch=39, iter=14440/80000, loss=0.3515, lr=0.008360, batch_cost=0.8034, reader_cost=0.0020 | ETA 14:37:50 2020-12-16 17:25:24 [INFO] [TRAIN] epoch=39, iter=14450/80000, loss=0.1965, lr=0.008359, batch_cost=0.7839, reader_cost=0.0013 | ETA 14:16:24 2020-12-16 17:25:32 [INFO] [TRAIN] epoch=39, iter=14460/80000, loss=0.2060, lr=0.008358, batch_cost=0.8351, reader_cost=0.0030 | ETA 15:12:09 2020-12-16 17:25:41 [INFO] [TRAIN] epoch=39, iter=14470/80000, loss=0.2438, lr=0.008356, batch_cost=0.8706, reader_cost=0.0042 | ETA 15:50:48 2020-12-16 17:25:49 [INFO] [TRAIN] epoch=39, iter=14480/80000, loss=0.2044, lr=0.008355, batch_cost=0.8347, reader_cost=0.0006 | ETA 15:11:27 2020-12-16 17:25:57 [INFO] [TRAIN] epoch=39, iter=14490/80000, loss=0.2180, lr=0.008354, batch_cost=0.8024, reader_cost=0.0002 | ETA 14:36:06 2020-12-16 17:26:05 [INFO] [TRAIN] epoch=39, iter=14500/80000, loss=0.1738, lr=0.008353, batch_cost=0.7633, reader_cost=0.0001 | ETA 13:53:17 2020-12-16 17:26:12 [INFO] [TRAIN] epoch=40, iter=14510/80000, loss=0.4058, lr=0.008352, batch_cost=0.7512, reader_cost=0.0833 | ETA 13:39:58 2020-12-16 17:26:20 [INFO] [TRAIN] epoch=40, iter=14520/80000, loss=0.2186, lr=0.008351, batch_cost=0.7603, reader_cost=0.0118 | ETA 13:49:42 2020-12-16 17:26:29 [INFO] [TRAIN] epoch=40, iter=14530/80000, loss=0.2720, lr=0.008350, batch_cost=0.8631, reader_cost=0.0020 | ETA 15:41:45 2020-12-16 17:26:38 [INFO] [TRAIN] epoch=40, iter=14540/80000, loss=0.2371, lr=0.008348, batch_cost=0.8985, reader_cost=0.0019 | ETA 16:20:13 2020-12-16 17:26:45 [INFO] [TRAIN] epoch=40, iter=14550/80000, loss=0.1710, lr=0.008347, batch_cost=0.7221, reader_cost=0.0015 | ETA 13:07:39 2020-12-16 17:26:53 [INFO] [TRAIN] epoch=40, iter=14560/80000, loss=0.2086, lr=0.008346, batch_cost=0.7940, reader_cost=0.0007 | ETA 14:26:00 2020-12-16 17:27:00 [INFO] [TRAIN] epoch=40, iter=14570/80000, loss=0.2960, lr=0.008345, batch_cost=0.7326, reader_cost=0.0018 | ETA 13:18:56 2020-12-16 17:27:09 [INFO] [TRAIN] epoch=40, iter=14580/80000, loss=0.2487, lr=0.008344, batch_cost=0.9294, reader_cost=0.0026 | ETA 16:53:21 2020-12-16 17:27:18 [INFO] [TRAIN] epoch=40, iter=14590/80000, loss=0.2664, lr=0.008343, batch_cost=0.9172, reader_cost=0.0009 | ETA 16:39:52 2020-12-16 17:27:26 [INFO] [TRAIN] epoch=40, iter=14600/80000, loss=0.2291, lr=0.008342, batch_cost=0.7164, reader_cost=0.0025 | ETA 13:00:49 2020-12-16 17:27:32 [INFO] [TRAIN] epoch=40, iter=14610/80000, loss=0.2526, lr=0.008340, batch_cost=0.6151, reader_cost=0.0012 | ETA 11:10:21 2020-12-16 17:27:38 [INFO] [TRAIN] epoch=40, iter=14620/80000, loss=0.1648, lr=0.008339, batch_cost=0.5832, reader_cost=0.0001 | ETA 10:35:31 2020-12-16 17:27:43 [INFO] [TRAIN] epoch=40, iter=14630/80000, loss=0.2926, lr=0.008338, batch_cost=0.5415, reader_cost=0.0002 | ETA 09:49:56 2020-12-16 17:27:49 [INFO] [TRAIN] epoch=40, iter=14640/80000, loss=0.3587, lr=0.008337, batch_cost=0.5436, reader_cost=0.0023 | ETA 09:52:09 2020-12-16 17:27:54 [INFO] [TRAIN] epoch=40, iter=14650/80000, loss=0.2204, lr=0.008336, batch_cost=0.5632, reader_cost=0.0004 | ETA 10:13:26 2020-12-16 17:28:00 [INFO] [TRAIN] epoch=40, iter=14660/80000, loss=0.2575, lr=0.008335, batch_cost=0.6169, reader_cost=0.0012 | ETA 11:11:48 2020-12-16 17:28:09 [INFO] [TRAIN] epoch=40, iter=14670/80000, loss=0.2093, lr=0.008333, batch_cost=0.8232, reader_cost=0.0046 | ETA 14:56:22 2020-12-16 17:28:16 [INFO] [TRAIN] epoch=40, iter=14680/80000, loss=0.2020, lr=0.008332, batch_cost=0.7767, reader_cost=0.0015 | ETA 14:05:34 2020-12-16 17:28:24 [INFO] [TRAIN] epoch=40, iter=14690/80000, loss=0.1764, lr=0.008331, batch_cost=0.7860, reader_cost=0.0001 | ETA 14:15:32 2020-12-16 17:28:32 [INFO] [TRAIN] epoch=40, iter=14700/80000, loss=0.2033, lr=0.008330, batch_cost=0.7873, reader_cost=0.0001 | ETA 14:16:49 2020-12-16 17:28:40 [INFO] [TRAIN] epoch=40, iter=14710/80000, loss=0.2988, lr=0.008329, batch_cost=0.7752, reader_cost=0.0009 | ETA 14:03:33 2020-12-16 17:28:48 [INFO] [TRAIN] epoch=40, iter=14720/80000, loss=0.2452, lr=0.008328, batch_cost=0.8229, reader_cost=0.0021 | ETA 14:55:21 2020-12-16 17:28:56 [INFO] [TRAIN] epoch=40, iter=14730/80000, loss=0.2531, lr=0.008327, batch_cost=0.8074, reader_cost=0.0025 | ETA 14:38:17 2020-12-16 17:29:04 [INFO] [TRAIN] epoch=40, iter=14740/80000, loss=0.2088, lr=0.008325, batch_cost=0.7852, reader_cost=0.0037 | ETA 14:14:02 2020-12-16 17:29:12 [INFO] [TRAIN] epoch=40, iter=14750/80000, loss=0.2843, lr=0.008324, batch_cost=0.8317, reader_cost=0.0001 | ETA 15:04:31 2020-12-16 17:29:22 [INFO] [TRAIN] epoch=40, iter=14760/80000, loss=0.3605, lr=0.008323, batch_cost=0.9385, reader_cost=0.0007 | ETA 17:00:26 2020-12-16 17:29:29 [INFO] [TRAIN] epoch=40, iter=14770/80000, loss=0.2009, lr=0.008322, batch_cost=0.7439, reader_cost=0.0010 | ETA 13:28:45 2020-12-16 17:29:37 [INFO] [TRAIN] epoch=40, iter=14780/80000, loss=0.3866, lr=0.008321, batch_cost=0.8090, reader_cost=0.0014 | ETA 14:39:21 2020-12-16 17:29:45 [INFO] [TRAIN] epoch=40, iter=14790/80000, loss=0.2684, lr=0.008320, batch_cost=0.8102, reader_cost=0.0032 | ETA 14:40:31 2020-12-16 17:29:53 [INFO] [TRAIN] epoch=40, iter=14800/80000, loss=0.2508, lr=0.008319, batch_cost=0.7976, reader_cost=0.0013 | ETA 14:26:46 2020-12-16 17:30:02 [INFO] [TRAIN] epoch=40, iter=14810/80000, loss=0.1989, lr=0.008317, batch_cost=0.8410, reader_cost=0.0015 | ETA 15:13:44 2020-12-16 17:30:10 [INFO] [TRAIN] epoch=40, iter=14820/80000, loss=0.2630, lr=0.008316, batch_cost=0.8469, reader_cost=0.0031 | ETA 15:19:59 2020-12-16 17:30:18 [INFO] [TRAIN] epoch=40, iter=14830/80000, loss=0.2053, lr=0.008315, batch_cost=0.8063, reader_cost=0.0005 | ETA 14:35:46 2020-12-16 17:30:26 [INFO] [TRAIN] epoch=40, iter=14840/80000, loss=0.2706, lr=0.008314, batch_cost=0.7902, reader_cost=0.0012 | ETA 14:18:07 2020-12-16 17:30:34 [INFO] [TRAIN] epoch=40, iter=14850/80000, loss=0.2421, lr=0.008313, batch_cost=0.8110, reader_cost=0.0022 | ETA 14:40:37 2020-12-16 17:30:43 [INFO] [TRAIN] epoch=40, iter=14860/80000, loss=0.1552, lr=0.008312, batch_cost=0.8503, reader_cost=0.0079 | ETA 15:23:05 2020-12-16 17:30:51 [INFO] [TRAIN] epoch=40, iter=14870/80000, loss=0.1764, lr=0.008311, batch_cost=0.7767, reader_cost=0.0004 | ETA 14:03:04 2020-12-16 17:30:58 [INFO] [TRAIN] epoch=40, iter=14880/80000, loss=0.2461, lr=0.008309, batch_cost=0.7403, reader_cost=0.0019 | ETA 13:23:29 2020-12-16 17:31:08 [INFO] [TRAIN] epoch=41, iter=14890/80000, loss=0.2006, lr=0.008308, batch_cost=0.9703, reader_cost=0.0693 | ETA 17:32:57 2020-12-16 17:31:16 [INFO] [TRAIN] epoch=41, iter=14900/80000, loss=0.2271, lr=0.008307, batch_cost=0.8236, reader_cost=0.0002 | ETA 14:53:34 2020-12-16 17:31:24 [INFO] [TRAIN] epoch=41, iter=14910/80000, loss=0.2694, lr=0.008306, batch_cost=0.8534, reader_cost=0.0018 | ETA 15:25:47 2020-12-16 17:31:33 [INFO] [TRAIN] epoch=41, iter=14920/80000, loss=0.2974, lr=0.008305, batch_cost=0.8346, reader_cost=0.0013 | ETA 15:05:15 2020-12-16 17:31:41 [INFO] [TRAIN] epoch=41, iter=14930/80000, loss=0.1909, lr=0.008304, batch_cost=0.8183, reader_cost=0.0010 | ETA 14:47:25 2020-12-16 17:31:49 [INFO] [TRAIN] epoch=41, iter=14940/80000, loss=0.2552, lr=0.008302, batch_cost=0.8282, reader_cost=0.0005 | ETA 14:58:05 2020-12-16 17:31:57 [INFO] [TRAIN] epoch=41, iter=14950/80000, loss=0.2132, lr=0.008301, batch_cost=0.8152, reader_cost=0.0024 | ETA 14:43:46 2020-12-16 17:32:06 [INFO] [TRAIN] epoch=41, iter=14960/80000, loss=0.2298, lr=0.008300, batch_cost=0.8727, reader_cost=0.0024 | ETA 15:45:58 2020-12-16 17:32:14 [INFO] [TRAIN] epoch=41, iter=14970/80000, loss=0.4611, lr=0.008299, batch_cost=0.8026, reader_cost=0.0012 | ETA 14:29:54 2020-12-16 17:32:21 [INFO] [TRAIN] epoch=41, iter=14980/80000, loss=0.5176, lr=0.008298, batch_cost=0.6539, reader_cost=0.0014 | ETA 11:48:35 2020-12-16 17:32:26 [INFO] [TRAIN] epoch=41, iter=14990/80000, loss=0.4066, lr=0.008297, batch_cost=0.5710, reader_cost=0.0001 | ETA 10:18:42 2020-12-16 17:32:32 [INFO] [TRAIN] epoch=41, iter=15000/80000, loss=0.3862, lr=0.008296, batch_cost=0.5551, reader_cost=0.0001 | ETA 10:01:19 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 17:32:32 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 17:33:12 [INFO] [EVAL] #Images=500 mIoU=0.6505 Acc=0.9260 Kappa=0.9034 2020-12-16 17:33:12 [INFO] [EVAL] Class IoU: [0.9389 0.678 0.8769 0.2865 0.5134 0.5088 0.5792 0.7148 0.8608 0.3164 0.9311 0.7678 0.5435 0.9162 0.7092 0.7234 0.2705 0.5075 0.7169] 2020-12-16 17:33:12 [INFO] [EVAL] Class Acc: [0.9529 0.8609 0.9181 0.7181 0.7782 0.7655 0.7896 0.8938 0.9285 0.4969 0.9624 0.8428 0.7467 0.9664 0.8893 0.8664 0.9924 0.7824 0.8362] 2020-12-16 17:33:17 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 17:33:26 [INFO] [TRAIN] epoch=41, iter=15010/80000, loss=0.4491, lr=0.008294, batch_cost=0.8965, reader_cost=0.0002 | ETA 16:11:04 2020-12-16 17:33:35 [INFO] [TRAIN] epoch=41, iter=15020/80000, loss=0.2254, lr=0.008293, batch_cost=0.9204, reader_cost=0.0002 | ETA 16:36:45 2020-12-16 17:33:44 [INFO] [TRAIN] epoch=41, iter=15030/80000, loss=0.5396, lr=0.008292, batch_cost=0.8507, reader_cost=0.0001 | ETA 15:21:13 2020-12-16 17:33:51 [INFO] [TRAIN] epoch=41, iter=15040/80000, loss=0.2092, lr=0.008291, batch_cost=0.7504, reader_cost=0.0008 | ETA 13:32:23 2020-12-16 17:34:00 [INFO] [TRAIN] epoch=41, iter=15050/80000, loss=0.3270, lr=0.008290, batch_cost=0.8555, reader_cost=0.0002 | ETA 15:26:04 2020-12-16 17:34:08 [INFO] [TRAIN] epoch=41, iter=15060/80000, loss=0.2907, lr=0.008289, batch_cost=0.8315, reader_cost=0.0001 | ETA 14:59:59 2020-12-16 17:34:16 [INFO] [TRAIN] epoch=41, iter=15070/80000, loss=0.2741, lr=0.008288, batch_cost=0.7856, reader_cost=0.0002 | ETA 14:10:06 2020-12-16 17:34:25 [INFO] [TRAIN] epoch=41, iter=15080/80000, loss=0.2064, lr=0.008286, batch_cost=0.9201, reader_cost=0.0038 | ETA 16:35:34 2020-12-16 17:34:33 [INFO] [TRAIN] epoch=41, iter=15090/80000, loss=0.2317, lr=0.008285, batch_cost=0.7814, reader_cost=0.0019 | ETA 14:05:20 2020-12-16 17:34:41 [INFO] [TRAIN] epoch=41, iter=15100/80000, loss=0.2263, lr=0.008284, batch_cost=0.7590, reader_cost=0.0010 | ETA 13:41:00 2020-12-16 17:34:49 [INFO] [TRAIN] epoch=41, iter=15110/80000, loss=0.2582, lr=0.008283, batch_cost=0.8032, reader_cost=0.0053 | ETA 14:28:42 2020-12-16 17:34:58 [INFO] [TRAIN] epoch=41, iter=15120/80000, loss=0.2953, lr=0.008282, batch_cost=0.8733, reader_cost=0.0002 | ETA 15:44:21 2020-12-16 17:35:06 [INFO] [TRAIN] epoch=41, iter=15130/80000, loss=0.2147, lr=0.008281, batch_cost=0.8784, reader_cost=0.0024 | ETA 15:49:38 2020-12-16 17:35:15 [INFO] [TRAIN] epoch=41, iter=15140/80000, loss=0.2174, lr=0.008280, batch_cost=0.8248, reader_cost=0.0029 | ETA 14:51:37 2020-12-16 17:35:23 [INFO] [TRAIN] epoch=41, iter=15150/80000, loss=0.2910, lr=0.008278, batch_cost=0.8747, reader_cost=0.0030 | ETA 15:45:26 2020-12-16 17:35:31 [INFO] [TRAIN] epoch=41, iter=15160/80000, loss=0.2188, lr=0.008277, batch_cost=0.8093, reader_cost=0.0032 | ETA 14:34:35 2020-12-16 17:35:40 [INFO] [TRAIN] epoch=41, iter=15170/80000, loss=0.3687, lr=0.008276, batch_cost=0.8528, reader_cost=0.0042 | ETA 15:21:29 2020-12-16 17:35:48 [INFO] [TRAIN] epoch=41, iter=15180/80000, loss=0.2325, lr=0.008275, batch_cost=0.8062, reader_cost=0.0011 | ETA 14:31:00 2020-12-16 17:35:56 [INFO] [TRAIN] epoch=41, iter=15190/80000, loss=0.2200, lr=0.008274, batch_cost=0.7961, reader_cost=0.0005 | ETA 14:19:54 2020-12-16 17:36:04 [INFO] [TRAIN] epoch=41, iter=15200/80000, loss=0.3239, lr=0.008273, batch_cost=0.8130, reader_cost=0.0021 | ETA 14:38:04 2020-12-16 17:36:13 [INFO] [TRAIN] epoch=41, iter=15210/80000, loss=0.2804, lr=0.008271, batch_cost=0.8680, reader_cost=0.0028 | ETA 15:37:14 2020-12-16 17:36:20 [INFO] [TRAIN] epoch=41, iter=15220/80000, loss=0.2586, lr=0.008270, batch_cost=0.7566, reader_cost=0.0002 | ETA 13:36:54 2020-12-16 17:36:29 [INFO] [TRAIN] epoch=41, iter=15230/80000, loss=0.2941, lr=0.008269, batch_cost=0.8201, reader_cost=0.0001 | ETA 14:45:19 2020-12-16 17:36:37 [INFO] [TRAIN] epoch=41, iter=15240/80000, loss=0.3395, lr=0.008268, batch_cost=0.8285, reader_cost=0.0035 | ETA 14:54:10 2020-12-16 17:36:44 [INFO] [TRAIN] epoch=41, iter=15250/80000, loss=0.2929, lr=0.008267, batch_cost=0.7317, reader_cost=0.0002 | ETA 13:09:36 2020-12-16 17:36:53 [INFO] [TRAIN] epoch=42, iter=15260/80000, loss=0.2115, lr=0.008266, batch_cost=0.8790, reader_cost=0.0590 | ETA 15:48:25 2020-12-16 17:37:01 [INFO] [TRAIN] epoch=42, iter=15270/80000, loss=0.2132, lr=0.008265, batch_cost=0.8464, reader_cost=0.0030 | ETA 15:13:10 2020-12-16 17:37:09 [INFO] [TRAIN] epoch=42, iter=15280/80000, loss=0.2128, lr=0.008263, batch_cost=0.7664, reader_cost=0.0020 | ETA 13:46:42 2020-12-16 17:37:15 [INFO] [TRAIN] epoch=42, iter=15290/80000, loss=0.2496, lr=0.008262, batch_cost=0.5717, reader_cost=0.0001 | ETA 10:16:33 2020-12-16 17:37:21 [INFO] [TRAIN] epoch=42, iter=15300/80000, loss=0.3128, lr=0.008261, batch_cost=0.5799, reader_cost=0.0026 | ETA 10:25:17 2020-12-16 17:37:26 [INFO] [TRAIN] epoch=42, iter=15310/80000, loss=0.2461, lr=0.008260, batch_cost=0.5523, reader_cost=0.0001 | ETA 09:55:25 2020-12-16 17:37:32 [INFO] [TRAIN] epoch=42, iter=15320/80000, loss=0.2293, lr=0.008259, batch_cost=0.5803, reader_cost=0.0001 | ETA 10:25:36 2020-12-16 17:37:39 [INFO] [TRAIN] epoch=42, iter=15330/80000, loss=0.3262, lr=0.008258, batch_cost=0.6830, reader_cost=0.0001 | ETA 12:16:08 2020-12-16 17:37:47 [INFO] [TRAIN] epoch=42, iter=15340/80000, loss=0.2890, lr=0.008257, batch_cost=0.8330, reader_cost=0.0010 | ETA 14:57:44 2020-12-16 17:37:55 [INFO] [TRAIN] epoch=42, iter=15350/80000, loss=0.2002, lr=0.008255, batch_cost=0.7796, reader_cost=0.0015 | ETA 14:00:03 2020-12-16 17:38:03 [INFO] [TRAIN] epoch=42, iter=15360/80000, loss=0.2031, lr=0.008254, batch_cost=0.8134, reader_cost=0.0008 | ETA 14:36:18 2020-12-16 17:38:11 [INFO] [TRAIN] epoch=42, iter=15370/80000, loss=0.2278, lr=0.008253, batch_cost=0.8331, reader_cost=0.0024 | ETA 14:57:23 2020-12-16 17:38:20 [INFO] [TRAIN] epoch=42, iter=15380/80000, loss=0.2301, lr=0.008252, batch_cost=0.9021, reader_cost=0.0039 | ETA 16:11:33 2020-12-16 17:38:29 [INFO] [TRAIN] epoch=42, iter=15390/80000, loss=0.3547, lr=0.008251, batch_cost=0.8360, reader_cost=0.0001 | ETA 15:00:14 2020-12-16 17:38:37 [INFO] [TRAIN] epoch=42, iter=15400/80000, loss=0.2171, lr=0.008250, batch_cost=0.8279, reader_cost=0.0001 | ETA 14:51:24 2020-12-16 17:38:46 [INFO] [TRAIN] epoch=42, iter=15410/80000, loss=0.2860, lr=0.008248, batch_cost=0.8907, reader_cost=0.0048 | ETA 15:58:50 2020-12-16 17:38:54 [INFO] [TRAIN] epoch=42, iter=15420/80000, loss=0.2013, lr=0.008247, batch_cost=0.8388, reader_cost=0.0029 | ETA 15:02:52 2020-12-16 17:39:03 [INFO] [TRAIN] epoch=42, iter=15430/80000, loss=0.2077, lr=0.008246, batch_cost=0.8847, reader_cost=0.0031 | ETA 15:52:06 2020-12-16 17:39:11 [INFO] [TRAIN] epoch=42, iter=15440/80000, loss=0.2753, lr=0.008245, batch_cost=0.7442, reader_cost=0.0027 | ETA 13:20:44 2020-12-16 17:39:19 [INFO] [TRAIN] epoch=42, iter=15450/80000, loss=0.2214, lr=0.008244, batch_cost=0.8030, reader_cost=0.0035 | ETA 14:23:55 2020-12-16 17:39:27 [INFO] [TRAIN] epoch=42, iter=15460/80000, loss=0.1994, lr=0.008243, batch_cost=0.8295, reader_cost=0.0014 | ETA 14:52:17 2020-12-16 17:39:36 [INFO] [TRAIN] epoch=42, iter=15470/80000, loss=0.4125, lr=0.008242, batch_cost=0.8540, reader_cost=0.0008 | ETA 15:18:28 2020-12-16 17:39:44 [INFO] [TRAIN] epoch=42, iter=15480/80000, loss=0.2498, lr=0.008240, batch_cost=0.8169, reader_cost=0.0012 | ETA 14:38:28 2020-12-16 17:39:52 [INFO] [TRAIN] epoch=42, iter=15490/80000, loss=0.2792, lr=0.008239, batch_cost=0.8320, reader_cost=0.0007 | ETA 14:54:31 2020-12-16 17:40:00 [INFO] [TRAIN] epoch=42, iter=15500/80000, loss=0.3027, lr=0.008238, batch_cost=0.8072, reader_cost=0.0002 | ETA 14:27:45 2020-12-16 17:40:08 [INFO] [TRAIN] epoch=42, iter=15510/80000, loss=0.2440, lr=0.008237, batch_cost=0.7986, reader_cost=0.0026 | ETA 14:18:19 2020-12-16 17:40:16 [INFO] [TRAIN] epoch=42, iter=15520/80000, loss=0.2887, lr=0.008236, batch_cost=0.7972, reader_cost=0.0044 | ETA 14:16:42 2020-12-16 17:40:24 [INFO] [TRAIN] epoch=42, iter=15530/80000, loss=0.3089, lr=0.008235, batch_cost=0.8163, reader_cost=0.0014 | ETA 14:37:06 2020-12-16 17:40:33 [INFO] [TRAIN] epoch=42, iter=15540/80000, loss=0.2889, lr=0.008234, batch_cost=0.8625, reader_cost=0.0042 | ETA 15:26:37 2020-12-16 17:40:41 [INFO] [TRAIN] epoch=42, iter=15550/80000, loss=0.3004, lr=0.008232, batch_cost=0.8363, reader_cost=0.0022 | ETA 14:58:20 2020-12-16 17:40:49 [INFO] [TRAIN] epoch=42, iter=15560/80000, loss=0.2564, lr=0.008231, batch_cost=0.7794, reader_cost=0.0002 | ETA 13:57:05 2020-12-16 17:40:57 [INFO] [TRAIN] epoch=42, iter=15570/80000, loss=0.2333, lr=0.008230, batch_cost=0.8155, reader_cost=0.0027 | ETA 14:35:41 2020-12-16 17:41:06 [INFO] [TRAIN] epoch=42, iter=15580/80000, loss=0.2085, lr=0.008229, batch_cost=0.8754, reader_cost=0.0022 | ETA 15:39:53 2020-12-16 17:41:14 [INFO] [TRAIN] epoch=42, iter=15590/80000, loss=0.2799, lr=0.008228, batch_cost=0.8035, reader_cost=0.0028 | ETA 14:22:32 2020-12-16 17:41:22 [INFO] [TRAIN] epoch=42, iter=15600/80000, loss=0.2737, lr=0.008227, batch_cost=0.8432, reader_cost=0.0005 | ETA 15:05:00 2020-12-16 17:41:30 [INFO] [TRAIN] epoch=42, iter=15610/80000, loss=0.1573, lr=0.008225, batch_cost=0.7925, reader_cost=0.0026 | ETA 14:10:28 2020-12-16 17:41:38 [INFO] [TRAIN] epoch=42, iter=15620/80000, loss=0.3104, lr=0.008224, batch_cost=0.7954, reader_cost=0.0028 | ETA 14:13:25 2020-12-16 17:41:46 [INFO] [TRAIN] epoch=43, iter=15630/80000, loss=0.2260, lr=0.008223, batch_cost=0.8098, reader_cost=0.0804 | ETA 14:28:44 2020-12-16 17:41:55 [INFO] [TRAIN] epoch=43, iter=15640/80000, loss=0.1983, lr=0.008222, batch_cost=0.8221, reader_cost=0.0004 | ETA 14:41:48 2020-12-16 17:42:02 [INFO] [TRAIN] epoch=43, iter=15650/80000, loss=0.2537, lr=0.008221, batch_cost=0.7709, reader_cost=0.0016 | ETA 13:46:48 2020-12-16 17:42:11 [INFO] [TRAIN] epoch=43, iter=15660/80000, loss=0.1871, lr=0.008220, batch_cost=0.8126, reader_cost=0.0001 | ETA 14:31:21 2020-12-16 17:42:18 [INFO] [TRAIN] epoch=43, iter=15670/80000, loss=0.2590, lr=0.008219, batch_cost=0.7629, reader_cost=0.0002 | ETA 13:37:54 2020-12-16 17:42:26 [INFO] [TRAIN] epoch=43, iter=15680/80000, loss=0.2358, lr=0.008217, batch_cost=0.7954, reader_cost=0.0002 | ETA 14:12:37 2020-12-16 17:42:34 [INFO] [TRAIN] epoch=43, iter=15690/80000, loss=0.2501, lr=0.008216, batch_cost=0.8169, reader_cost=0.0008 | ETA 14:35:34 2020-12-16 17:42:40 [INFO] [TRAIN] epoch=43, iter=15700/80000, loss=0.2787, lr=0.008215, batch_cost=0.5505, reader_cost=0.0001 | ETA 09:49:54 2020-12-16 17:42:46 [INFO] [TRAIN] epoch=43, iter=15710/80000, loss=0.2675, lr=0.008214, batch_cost=0.5874, reader_cost=0.0002 | ETA 10:29:21 2020-12-16 17:42:51 [INFO] [TRAIN] epoch=43, iter=15720/80000, loss=0.1826, lr=0.008213, batch_cost=0.5468, reader_cost=0.0001 | ETA 09:45:46 2020-12-16 17:42:57 [INFO] [TRAIN] epoch=43, iter=15730/80000, loss=0.2290, lr=0.008212, batch_cost=0.5790, reader_cost=0.0004 | ETA 10:20:13 2020-12-16 17:43:03 [INFO] [TRAIN] epoch=43, iter=15740/80000, loss=0.2670, lr=0.008211, batch_cost=0.5562, reader_cost=0.0009 | ETA 09:55:39 2020-12-16 17:43:11 [INFO] [TRAIN] epoch=43, iter=15750/80000, loss=0.3125, lr=0.008209, batch_cost=0.8125, reader_cost=0.0018 | ETA 14:30:01 2020-12-16 17:43:19 [INFO] [TRAIN] epoch=43, iter=15760/80000, loss=0.2558, lr=0.008208, batch_cost=0.8457, reader_cost=0.0007 | ETA 15:05:28 2020-12-16 17:43:26 [INFO] [TRAIN] epoch=43, iter=15770/80000, loss=0.7058, lr=0.008207, batch_cost=0.7355, reader_cost=0.0004 | ETA 13:07:21 2020-12-16 17:43:35 [INFO] [TRAIN] epoch=43, iter=15780/80000, loss=0.2484, lr=0.008206, batch_cost=0.8495, reader_cost=0.0007 | ETA 15:09:14 2020-12-16 17:43:43 [INFO] [TRAIN] epoch=43, iter=15790/80000, loss=0.3963, lr=0.008205, batch_cost=0.7964, reader_cost=0.0018 | ETA 14:12:14 2020-12-16 17:43:51 [INFO] [TRAIN] epoch=43, iter=15800/80000, loss=0.1802, lr=0.008204, batch_cost=0.8535, reader_cost=0.0010 | ETA 15:13:14 2020-12-16 17:43:59 [INFO] [TRAIN] epoch=43, iter=15810/80000, loss=0.1880, lr=0.008202, batch_cost=0.8011, reader_cost=0.0005 | ETA 14:17:02 2020-12-16 17:44:08 [INFO] [TRAIN] epoch=43, iter=15820/80000, loss=0.3019, lr=0.008201, batch_cost=0.8583, reader_cost=0.0031 | ETA 15:18:05 2020-12-16 17:44:17 [INFO] [TRAIN] epoch=43, iter=15830/80000, loss=0.2787, lr=0.008200, batch_cost=0.8643, reader_cost=0.0001 | ETA 15:24:22 2020-12-16 17:44:24 [INFO] [TRAIN] epoch=43, iter=15840/80000, loss=0.2299, lr=0.008199, batch_cost=0.7591, reader_cost=0.0002 | ETA 13:31:46 2020-12-16 17:44:33 [INFO] [TRAIN] epoch=43, iter=15850/80000, loss=0.3277, lr=0.008198, batch_cost=0.8608, reader_cost=0.0014 | ETA 15:20:20 2020-12-16 17:44:41 [INFO] [TRAIN] epoch=43, iter=15860/80000, loss=0.1975, lr=0.008197, batch_cost=0.8276, reader_cost=0.0010 | ETA 14:44:40 2020-12-16 17:44:49 [INFO] [TRAIN] epoch=43, iter=15870/80000, loss=0.2701, lr=0.008196, batch_cost=0.7391, reader_cost=0.0082 | ETA 13:09:58 2020-12-16 17:44:57 [INFO] [TRAIN] epoch=43, iter=15880/80000, loss=0.1595, lr=0.008194, batch_cost=0.8457, reader_cost=0.0029 | ETA 15:03:45 2020-12-16 17:45:04 [INFO] [TRAIN] epoch=43, iter=15890/80000, loss=0.2290, lr=0.008193, batch_cost=0.7394, reader_cost=0.0039 | ETA 13:09:59 2020-12-16 17:45:13 [INFO] [TRAIN] epoch=43, iter=15900/80000, loss=0.2086, lr=0.008192, batch_cost=0.8338, reader_cost=0.0002 | ETA 14:50:45 2020-12-16 17:45:22 [INFO] [TRAIN] epoch=43, iter=15910/80000, loss=0.2457, lr=0.008191, batch_cost=0.9285, reader_cost=0.0036 | ETA 16:31:48 2020-12-16 17:45:31 [INFO] [TRAIN] epoch=43, iter=15920/80000, loss=0.1894, lr=0.008190, batch_cost=0.8922, reader_cost=0.0012 | ETA 15:52:54 2020-12-16 17:45:38 [INFO] [TRAIN] epoch=43, iter=15930/80000, loss=0.2555, lr=0.008189, batch_cost=0.7181, reader_cost=0.0046 | ETA 12:46:45 2020-12-16 17:45:44 [INFO] [TRAIN] epoch=43, iter=15940/80000, loss=0.2039, lr=0.008188, batch_cost=0.5624, reader_cost=0.0004 | ETA 10:00:25 2020-12-16 17:45:49 [INFO] [TRAIN] epoch=43, iter=15950/80000, loss=0.2436, lr=0.008186, batch_cost=0.5438, reader_cost=0.0001 | ETA 09:40:30 2020-12-16 17:45:55 [INFO] [TRAIN] epoch=43, iter=15960/80000, loss=0.2821, lr=0.008185, batch_cost=0.5337, reader_cost=0.0004 | ETA 09:29:38 2020-12-16 17:46:00 [INFO] [TRAIN] epoch=43, iter=15970/80000, loss=0.2502, lr=0.008184, batch_cost=0.5384, reader_cost=0.0001 | ETA 09:34:32 2020-12-16 17:46:05 [INFO] [TRAIN] epoch=43, iter=15980/80000, loss=0.2570, lr=0.008183, batch_cost=0.5342, reader_cost=0.0001 | ETA 09:29:58 2020-12-16 17:46:11 [INFO] [TRAIN] epoch=43, iter=15990/80000, loss=0.2124, lr=0.008182, batch_cost=0.5436, reader_cost=0.0001 | ETA 09:39:53 2020-12-16 17:46:18 [INFO] [TRAIN] epoch=44, iter=16000/80000, loss=0.3627, lr=0.008181, batch_cost=0.7451, reader_cost=0.0533 | ETA 13:14:44 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 17:46:18 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 17:47:16 [INFO] [EVAL] #Images=500 mIoU=0.7022 Acc=0.9503 Kappa=0.9356 2020-12-16 17:47:16 [INFO] [EVAL] Class IoU: [0.976 0.813 0.9109 0.4202 0.5783 0.5551 0.6547 0.7484 0.9143 0.6262 0.939 0.7851 0.5772 0.9076 0.5219 0.6568 0.4409 0.5743 0.7417] 2020-12-16 17:47:16 [INFO] [EVAL] Class Acc: [0.9894 0.8913 0.9522 0.7586 0.7603 0.7259 0.7582 0.8591 0.9497 0.8514 0.9634 0.8554 0.7195 0.9211 0.9134 0.8679 0.9566 0.7049 0.8735] 2020-12-16 17:47:23 [INFO] [EVAL] The model with the best validation mIoU (0.7041) was saved at iter 7000. 2020-12-16 17:47:32 [INFO] [TRAIN] epoch=44, iter=16010/80000, loss=0.2965, lr=0.008179, batch_cost=0.9098, reader_cost=0.0053 | ETA 16:10:18 2020-12-16 17:47:41 [INFO] [TRAIN] epoch=44, iter=16020/80000, loss=0.2162, lr=0.008178, batch_cost=0.8982, reader_cost=0.0003 | ETA 15:57:49 2020-12-16 17:47:50 [INFO] [TRAIN] epoch=44, iter=16030/80000, loss=0.1586, lr=0.008177, batch_cost=0.9597, reader_cost=0.0012 | ETA 17:03:14 2020-12-16 17:48:00 [INFO] [TRAIN] epoch=44, iter=16040/80000, loss=0.2749, lr=0.008176, batch_cost=0.9729, reader_cost=0.0008 | ETA 17:17:08 2020-12-16 17:48:09 [INFO] [TRAIN] epoch=44, iter=16050/80000, loss=0.2009, lr=0.008175, batch_cost=0.8632, reader_cost=0.0053 | ETA 15:20:02 2020-12-16 17:48:17 [INFO] [TRAIN] epoch=44, iter=16060/80000, loss=0.2256, lr=0.008174, batch_cost=0.8271, reader_cost=0.0058 | ETA 14:41:26 2020-12-16 17:48:26 [INFO] [TRAIN] epoch=44, iter=16070/80000, loss=0.1832, lr=0.008173, batch_cost=0.9247, reader_cost=0.0014 | ETA 16:25:16 2020-12-16 17:48:35 [INFO] [TRAIN] epoch=44, iter=16080/80000, loss=0.2906, lr=0.008171, batch_cost=0.8862, reader_cost=0.0005 | ETA 15:44:09 2020-12-16 17:48:46 [INFO] [TRAIN] epoch=44, iter=16090/80000, loss=0.1934, lr=0.008170, batch_cost=1.0343, reader_cost=0.0003 | ETA 18:21:43 2020-12-16 17:48:54 [INFO] [TRAIN] epoch=44, iter=16100/80000, loss=0.3206, lr=0.008169, batch_cost=0.8517, reader_cost=0.0073 | ETA 15:07:04 2020-12-16 17:49:03 [INFO] [TRAIN] epoch=44, iter=16110/80000, loss=0.2104, lr=0.008168, batch_cost=0.8665, reader_cost=0.0005 | ETA 15:22:38 2020-12-16 17:49:11 [INFO] [TRAIN] epoch=44, iter=16120/80000, loss=0.2152, lr=0.008167, batch_cost=0.8616, reader_cost=0.0019 | ETA 15:17:21 2020-12-16 17:49:18 [INFO] [TRAIN] epoch=44, iter=16130/80000, loss=0.2490, lr=0.008166, batch_cost=0.6550, reader_cost=0.0001 | ETA 11:37:12 2020-12-16 17:49:23 [INFO] [TRAIN] epoch=44, iter=16140/80000, loss=0.2645, lr=0.008165, batch_cost=0.5578, reader_cost=0.0001 | ETA 09:53:39 2020-12-16 17:49:29 [INFO] [TRAIN] epoch=44, iter=16150/80000, loss=0.2047, lr=0.008163, batch_cost=0.5669, reader_cost=0.0001 | ETA 10:03:15 2020-12-16 17:49:35 [INFO] [TRAIN] epoch=44, iter=16160/80000, loss=0.2915, lr=0.008162, batch_cost=0.5643, reader_cost=0.0007 | ETA 10:00:22 2020-12-16 17:49:40 [INFO] [TRAIN] epoch=44, iter=16170/80000, loss=0.3198, lr=0.008161, batch_cost=0.5667, reader_cost=0.0002 | ETA 10:02:53 2020-12-16 17:49:46 [INFO] [TRAIN] epoch=44, iter=16180/80000, loss=0.2075, lr=0.008160, batch_cost=0.5752, reader_cost=0.0012 | ETA 10:11:52 2020-12-16 17:49:54 [INFO] [TRAIN] epoch=44, iter=16190/80000, loss=0.2993, lr=0.008159, batch_cost=0.8004, reader_cost=0.0019 | ETA 14:11:13 2020-12-16 17:50:02 [INFO] [TRAIN] epoch=44, iter=16200/80000, loss=0.1933, lr=0.008158, batch_cost=0.7952, reader_cost=0.0022 | ETA 14:05:32 2020-12-16 17:50:10 [INFO] [TRAIN] epoch=44, iter=16210/80000, loss=0.2140, lr=0.008156, batch_cost=0.8245, reader_cost=0.0034 | ETA 14:36:35 2020-12-16 17:50:18 [INFO] [TRAIN] epoch=44, iter=16220/80000, loss=0.2815, lr=0.008155, batch_cost=0.8034, reader_cost=0.0024 | ETA 14:14:03 2020-12-16 17:50:27 [INFO] [TRAIN] epoch=44, iter=16230/80000, loss=0.1910, lr=0.008154, batch_cost=0.8062, reader_cost=0.0013 | ETA 14:16:54 2020-12-16 17:50:36 [INFO] [TRAIN] epoch=44, iter=16240/80000, loss=0.1934, lr=0.008153, batch_cost=0.9017, reader_cost=0.0025 | ETA 15:58:11 2020-12-16 17:50:44 [INFO] [TRAIN] epoch=44, iter=16250/80000, loss=0.2583, lr=0.008152, batch_cost=0.7993, reader_cost=0.0019 | ETA 14:09:12 2020-12-16 17:50:51 [INFO] [TRAIN] epoch=44, iter=16260/80000, loss=0.2653, lr=0.008151, batch_cost=0.7143, reader_cost=0.0004 | ETA 12:38:48 2020-12-16 17:50:58 [INFO] [TRAIN] epoch=44, iter=16270/80000, loss=0.1925, lr=0.008150, batch_cost=0.7800, reader_cost=0.0007 | ETA 13:48:30 2020-12-16 17:51:07 [INFO] [TRAIN] epoch=44, iter=16280/80000, loss=0.2182, lr=0.008148, batch_cost=0.8303, reader_cost=0.0016 | ETA 14:41:45 2020-12-16 17:51:14 [INFO] [TRAIN] epoch=44, iter=16290/80000, loss=0.2044, lr=0.008147, batch_cost=0.7566, reader_cost=0.0001 | ETA 13:23:24 2020-12-16 17:51:23 [INFO] [TRAIN] epoch=44, iter=16300/80000, loss=0.2592, lr=0.008146, batch_cost=0.8219, reader_cost=0.0001 | ETA 14:32:36 2020-12-16 17:51:30 [INFO] [TRAIN] epoch=44, iter=16310/80000, loss=0.2359, lr=0.008145, batch_cost=0.7571, reader_cost=0.0007 | ETA 13:23:37 2020-12-16 17:51:37 [INFO] [TRAIN] epoch=44, iter=16320/80000, loss=0.2046, lr=0.008144, batch_cost=0.7296, reader_cost=0.0030 | ETA 12:54:21 2020-12-16 17:51:45 [INFO] [TRAIN] epoch=44, iter=16330/80000, loss=0.2692, lr=0.008143, batch_cost=0.7891, reader_cost=0.0001 | ETA 13:57:20 2020-12-16 17:51:53 [INFO] [TRAIN] epoch=44, iter=16340/80000, loss=0.2948, lr=0.008142, batch_cost=0.7209, reader_cost=0.0022 | ETA 12:44:54 2020-12-16 17:52:00 [INFO] [TRAIN] epoch=44, iter=16350/80000, loss=0.2337, lr=0.008140, batch_cost=0.7891, reader_cost=0.0062 | ETA 13:57:05 2020-12-16 17:52:09 [INFO] [TRAIN] epoch=44, iter=16360/80000, loss=0.1964, lr=0.008139, batch_cost=0.8251, reader_cost=0.0001 | ETA 14:35:11 2020-12-16 17:52:16 [INFO] [TRAIN] epoch=45, iter=16370/80000, loss=0.2488, lr=0.008138, batch_cost=0.7391, reader_cost=0.0635 | ETA 13:03:51 2020-12-16 17:52:25 [INFO] [TRAIN] epoch=45, iter=16380/80000, loss=0.2097, lr=0.008137, batch_cost=0.8564, reader_cost=0.0011 | ETA 15:08:03 2020-12-16 17:52:33 [INFO] [TRAIN] epoch=45, iter=16390/80000, loss=0.2565, lr=0.008136, batch_cost=0.7879, reader_cost=0.0015 | ETA 13:55:21 2020-12-16 17:52:40 [INFO] [TRAIN] epoch=45, iter=16400/80000, loss=0.3321, lr=0.008135, batch_cost=0.7908, reader_cost=0.0006 | ETA 13:58:14 2020-12-16 17:52:49 [INFO] [TRAIN] epoch=45, iter=16410/80000, loss=0.2597, lr=0.008133, batch_cost=0.8344, reader_cost=0.0018 | ETA 14:44:17 2020-12-16 17:52:56 [INFO] [TRAIN] epoch=45, iter=16420/80000, loss=0.2319, lr=0.008132, batch_cost=0.7633, reader_cost=0.0001 | ETA 13:28:48 2020-12-16 17:53:05 [INFO] [TRAIN] epoch=45, iter=16430/80000, loss=0.3550, lr=0.008131, batch_cost=0.8244, reader_cost=0.0003 | ETA 14:33:26 2020-12-16 17:53:12 [INFO] [TRAIN] epoch=45, iter=16440/80000, loss=0.2951, lr=0.008130, batch_cost=0.7764, reader_cost=0.0005 | ETA 13:42:26 2020-12-16 17:53:20 [INFO] [TRAIN] epoch=45, iter=16450/80000, loss=0.1840, lr=0.008129, batch_cost=0.7313, reader_cost=0.0001 | ETA 12:54:32 2020-12-16 17:53:28 [INFO] [TRAIN] epoch=45, iter=16460/80000, loss=0.2163, lr=0.008128, batch_cost=0.8463, reader_cost=0.0001 | ETA 14:56:16 2020-12-16 17:53:35 [INFO] [TRAIN] epoch=45, iter=16470/80000, loss=0.3239, lr=0.008127, batch_cost=0.7037, reader_cost=0.0029 | ETA 12:25:03 2020-12-16 17:53:42 [INFO] [TRAIN] epoch=45, iter=16480/80000, loss=0.1898, lr=0.008125, batch_cost=0.7158, reader_cost=0.0018 | ETA 12:37:44 2020-12-16 17:53:51 [INFO] [TRAIN] epoch=45, iter=16490/80000, loss=0.2675, lr=0.008124, batch_cost=0.8483, reader_cost=0.0002 | ETA 14:57:58 2020-12-16 17:54:00 [INFO] [TRAIN] epoch=45, iter=16500/80000, loss=0.2946, lr=0.008123, batch_cost=0.8717, reader_cost=0.0013 | ETA 15:22:33 2020-12-16 17:54:06 [INFO] [TRAIN] epoch=45, iter=16510/80000, loss=0.1919, lr=0.008122, batch_cost=0.6419, reader_cost=0.0019 | ETA 11:19:13 2020-12-16 17:54:12 [INFO] [TRAIN] epoch=45, iter=16520/80000, loss=0.2754, lr=0.008121, batch_cost=0.5629, reader_cost=0.0001 | ETA 09:55:31 2020-12-16 17:54:18 [INFO] [TRAIN] epoch=45, iter=16530/80000, loss=0.2246, lr=0.008120, batch_cost=0.5884, reader_cost=0.0004 | ETA 10:22:26 2020-12-16 17:54:23 [INFO] [TRAIN] epoch=45, iter=16540/80000, loss=0.1846, lr=0.008118, batch_cost=0.5493, reader_cost=0.0004 | ETA 09:40:57 2020-12-16 17:54:29 [INFO] [TRAIN] epoch=45, iter=16550/80000, loss=0.2063, lr=0.008117, batch_cost=0.5865, reader_cost=0.0001 | ETA 10:20:15 2020-12-16 17:54:36 [INFO] [TRAIN] epoch=45, iter=16560/80000, loss=0.2156, lr=0.008116, batch_cost=0.6904, reader_cost=0.0001 | ETA 12:09:58 2020-12-16 17:54:46 [INFO] [TRAIN] epoch=45, iter=16570/80000, loss=0.3098, lr=0.008115, batch_cost=0.9869, reader_cost=0.0070 | ETA 17:23:18 2020-12-16 17:54:55 [INFO] [TRAIN] epoch=45, iter=16580/80000, loss=0.2693, lr=0.008114, batch_cost=0.9154, reader_cost=0.0014 | ETA 16:07:33 2020-12-16 17:55:04 [INFO] [TRAIN] epoch=45, iter=16590/80000, loss=0.2189, lr=0.008113, batch_cost=0.9290, reader_cost=0.0001 | ETA 16:21:47 2020-12-16 17:55:13 [INFO] [TRAIN] epoch=45, iter=16600/80000, loss=0.3280, lr=0.008112, batch_cost=0.8932, reader_cost=0.0008 | ETA 15:43:46 2020-12-16 17:55:22 [INFO] [TRAIN] epoch=45, iter=16610/80000, loss=0.1705, lr=0.008110, batch_cost=0.9044, reader_cost=0.0023 | ETA 15:55:30 2020-12-16 17:55:31 [INFO] [TRAIN] epoch=45, iter=16620/80000, loss=0.3218, lr=0.008109, batch_cost=0.8623, reader_cost=0.0014 | ETA 15:10:50 2020-12-16 17:55:39 [INFO] [TRAIN] epoch=45, iter=16630/80000, loss=0.2278, lr=0.008108, batch_cost=0.8448, reader_cost=0.0001 | ETA 14:52:11 2020-12-16 17:55:48 [INFO] [TRAIN] epoch=45, iter=16640/80000, loss=0.1960, lr=0.008107, batch_cost=0.8671, reader_cost=0.0022 | ETA 15:15:40 2020-12-16 17:55:57 [INFO] [TRAIN] epoch=45, iter=16650/80000, loss=0.4162, lr=0.008106, batch_cost=0.9074, reader_cost=0.0032 | ETA 15:58:04 2020-12-16 17:56:06 [INFO] [TRAIN] epoch=45, iter=16660/80000, loss=0.2943, lr=0.008105, batch_cost=0.8895, reader_cost=0.0005 | ETA 15:39:01 2020-12-16 17:56:14 [INFO] [TRAIN] epoch=45, iter=16670/80000, loss=0.2580, lr=0.008104, batch_cost=0.8537, reader_cost=0.0001 | ETA 15:01:05 2020-12-16 17:56:24 [INFO] [TRAIN] epoch=45, iter=16680/80000, loss=0.2089, lr=0.008102, batch_cost=0.9115, reader_cost=0.0001 | ETA 16:01:54 2020-12-16 17:56:33 [INFO] [TRAIN] epoch=45, iter=16690/80000, loss=0.2069, lr=0.008101, batch_cost=0.9551, reader_cost=0.0102 | ETA 16:47:44 2020-12-16 17:56:41 [INFO] [TRAIN] epoch=45, iter=16700/80000, loss=0.2268, lr=0.008100, batch_cost=0.8386, reader_cost=0.0009 | ETA 14:44:44 2020-12-16 17:56:50 [INFO] [TRAIN] epoch=45, iter=16710/80000, loss=0.2928, lr=0.008099, batch_cost=0.8870, reader_cost=0.0001 | ETA 15:35:37 2020-12-16 17:56:59 [INFO] [TRAIN] epoch=45, iter=16720/80000, loss=0.2269, lr=0.008098, batch_cost=0.8370, reader_cost=0.0013 | ETA 14:42:43 2020-12-16 17:57:07 [INFO] [TRAIN] epoch=45, iter=16730/80000, loss=0.2053, lr=0.008097, batch_cost=0.8775, reader_cost=0.0028 | ETA 15:25:17 2020-12-16 17:57:16 [INFO] [TRAIN] epoch=45, iter=16740/80000, loss=0.2787, lr=0.008095, batch_cost=0.8258, reader_cost=0.0018 | ETA 14:30:36 2020-12-16 17:57:26 [INFO] [TRAIN] epoch=46, iter=16750/80000, loss=0.4074, lr=0.008094, batch_cost=1.0084, reader_cost=0.1759 | ETA 17:43:00 2020-12-16 17:57:35 [INFO] [TRAIN] epoch=46, iter=16760/80000, loss=0.4044, lr=0.008093, batch_cost=0.9548, reader_cost=0.0001 | ETA 16:46:19 2020-12-16 17:57:45 [INFO] [TRAIN] epoch=46, iter=16770/80000, loss=0.2400, lr=0.008092, batch_cost=0.9558, reader_cost=0.0027 | ETA 16:47:12 2020-12-16 17:57:54 [INFO] [TRAIN] epoch=46, iter=16780/80000, loss=0.2735, lr=0.008091, batch_cost=0.9281, reader_cost=0.0001 | ETA 16:17:52 2020-12-16 17:58:03 [INFO] [TRAIN] epoch=46, iter=16790/80000, loss=0.2661, lr=0.008090, batch_cost=0.8896, reader_cost=0.0001 | ETA 15:37:12 2020-12-16 17:58:12 [INFO] [TRAIN] epoch=46, iter=16800/80000, loss=0.2255, lr=0.008089, batch_cost=0.8642, reader_cost=0.0002 | ETA 15:10:15 2020-12-16 17:58:20 [INFO] [TRAIN] epoch=46, iter=16810/80000, loss=0.2271, lr=0.008087, batch_cost=0.8618, reader_cost=0.0035 | ETA 15:07:34 2020-12-16 17:58:30 [INFO] [TRAIN] epoch=46, iter=16820/80000, loss=0.3133, lr=0.008086, batch_cost=0.9478, reader_cost=0.0006 | ETA 16:38:02 2020-12-16 17:58:40 [INFO] [TRAIN] epoch=46, iter=16830/80000, loss=0.2099, lr=0.008085, batch_cost=0.9850, reader_cost=0.0005 | ETA 17:17:01 2020-12-16 17:58:49 [INFO] [TRAIN] epoch=46, iter=16840/80000, loss=0.2570, lr=0.008084, batch_cost=0.9745, reader_cost=0.0038 | ETA 17:05:50 2020-12-16 17:58:59 [INFO] [TRAIN] epoch=46, iter=16850/80000, loss=0.2342, lr=0.008083, batch_cost=0.9623, reader_cost=0.0026 | ETA 16:52:52 2020-12-16 17:59:08 [INFO] [TRAIN] epoch=46, iter=16860/80000, loss=0.1889, lr=0.008082, batch_cost=0.8653, reader_cost=0.0001 | ETA 15:10:35 2020-12-16 17:59:17 [INFO] [TRAIN] epoch=46, iter=16870/80000, loss=0.2915, lr=0.008080, batch_cost=0.8899, reader_cost=0.0022 | ETA 15:36:16 2020-12-16 17:59:25 [INFO] [TRAIN] epoch=46, iter=16880/80000, loss=0.2114, lr=0.008079, batch_cost=0.8207, reader_cost=0.0007 | ETA 14:23:25 2020-12-16 17:59:34 [INFO] [TRAIN] epoch=46, iter=16890/80000, loss=0.1988, lr=0.008078, batch_cost=0.8704, reader_cost=0.0001 | ETA 15:15:32 2020-12-16 17:59:43 [INFO] [TRAIN] epoch=46, iter=16900/80000, loss=0.2475, lr=0.008077, batch_cost=0.9430, reader_cost=0.0002 | ETA 16:31:45 2020-12-16 17:59:52 [INFO] [TRAIN] epoch=46, iter=16910/80000, loss=0.2043, lr=0.008076, batch_cost=0.8934, reader_cost=0.0041 | ETA 15:39:25 2020-12-16 18:00:02 [INFO] [TRAIN] epoch=46, iter=16920/80000, loss=0.2455, lr=0.008075, batch_cost=0.9745, reader_cost=0.0001 | ETA 17:04:28 2020-12-16 18:00:11 [INFO] [TRAIN] epoch=46, iter=16930/80000, loss=0.2046, lr=0.008074, batch_cost=0.9513, reader_cost=0.0001 | ETA 16:40:01 2020-12-16 18:00:20 [INFO] [TRAIN] epoch=46, iter=16940/80000, loss=0.1929, lr=0.008072, batch_cost=0.9186, reader_cost=0.0041 | ETA 16:05:24 2020-12-16 18:00:31 [INFO] [TRAIN] epoch=46, iter=16950/80000, loss=0.1902, lr=0.008071, batch_cost=1.0306, reader_cost=0.0001 | ETA 18:02:59 2020-12-16 18:00:40 [INFO] [TRAIN] epoch=46, iter=16960/80000, loss=0.3268, lr=0.008070, batch_cost=0.9506, reader_cost=0.0001 | ETA 16:38:48 2020-12-16 18:00:47 [INFO] [TRAIN] epoch=46, iter=16970/80000, loss=0.2966, lr=0.008069, batch_cost=0.6467, reader_cost=0.0007 | ETA 11:19:19 2020-12-16 18:00:52 [INFO] [TRAIN] epoch=46, iter=16980/80000, loss=0.2954, lr=0.008068, batch_cost=0.5538, reader_cost=0.0001 | ETA 09:41:37 2020-12-16 18:00:58 [INFO] [TRAIN] epoch=46, iter=16990/80000, loss=0.2438, lr=0.008067, batch_cost=0.5754, reader_cost=0.0001 | ETA 10:04:16 2020-12-16 18:01:04 [INFO] [TRAIN] epoch=46, iter=17000/80000, loss=0.2719, lr=0.008066, batch_cost=0.5575, reader_cost=0.0003 | ETA 09:45:21 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 18:01:04 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 18:01:53 [INFO] [EVAL] #Images=500 mIoU=0.7214 Acc=0.9490 Kappa=0.9338 2020-12-16 18:01:53 [INFO] [EVAL] Class IoU: [0.9706 0.7808 0.9083 0.3433 0.5098 0.5319 0.6586 0.7499 0.9142 0.634 0.9398 0.7804 0.5446 0.9344 0.7273 0.7718 0.6998 0.5611 0.7463] 2020-12-16 18:01:53 [INFO] [EVAL] Class Acc: [0.9909 0.8411 0.9419 0.9174 0.7108 0.7965 0.755 0.8752 0.9431 0.8635 0.966 0.8447 0.7817 0.9653 0.9396 0.8411 0.9636 0.7422 0.8415] 2020-12-16 18:02:04 [INFO] [EVAL] The model with the best validation mIoU (0.7214) was saved at iter 17000. 2020-12-16 18:02:13 [INFO] [TRAIN] epoch=46, iter=17010/80000, loss=0.1776, lr=0.008064, batch_cost=0.8672, reader_cost=0.0001 | ETA 15:10:22 2020-12-16 18:02:22 [INFO] [TRAIN] epoch=46, iter=17020/80000, loss=0.2136, lr=0.008063, batch_cost=0.9387, reader_cost=0.0035 | ETA 16:25:21 2020-12-16 18:02:30 [INFO] [TRAIN] epoch=46, iter=17030/80000, loss=0.2034, lr=0.008062, batch_cost=0.7351, reader_cost=0.0009 | ETA 12:51:29 2020-12-16 18:02:38 [INFO] [TRAIN] epoch=46, iter=17040/80000, loss=0.2066, lr=0.008061, batch_cost=0.8680, reader_cost=0.0013 | ETA 15:10:46 2020-12-16 18:02:48 [INFO] [TRAIN] epoch=46, iter=17050/80000, loss=0.2104, lr=0.008060, batch_cost=0.9530, reader_cost=0.0010 | ETA 16:39:54 2020-12-16 18:02:56 [INFO] [TRAIN] epoch=46, iter=17060/80000, loss=0.3368, lr=0.008059, batch_cost=0.8137, reader_cost=0.0008 | ETA 14:13:36 2020-12-16 18:03:05 [INFO] [TRAIN] epoch=46, iter=17070/80000, loss=0.2040, lr=0.008057, batch_cost=0.9008, reader_cost=0.0039 | ETA 15:44:48 2020-12-16 18:03:14 [INFO] [TRAIN] epoch=46, iter=17080/80000, loss=0.1980, lr=0.008056, batch_cost=0.9134, reader_cost=0.0001 | ETA 15:57:50 2020-12-16 18:03:23 [INFO] [TRAIN] epoch=46, iter=17090/80000, loss=0.2147, lr=0.008055, batch_cost=0.9228, reader_cost=0.0001 | ETA 16:07:36 2020-12-16 18:03:32 [INFO] [TRAIN] epoch=46, iter=17100/80000, loss=0.1964, lr=0.008054, batch_cost=0.8161, reader_cost=0.0010 | ETA 14:15:32 2020-12-16 18:03:39 [INFO] [TRAIN] epoch=46, iter=17110/80000, loss=0.2017, lr=0.008053, batch_cost=0.7773, reader_cost=0.0002 | ETA 13:34:45 2020-12-16 18:03:49 [INFO] [TRAIN] epoch=47, iter=17120/80000, loss=0.2741, lr=0.008052, batch_cost=0.9673, reader_cost=0.1222 | ETA 16:53:43 2020-12-16 18:03:59 [INFO] [TRAIN] epoch=47, iter=17130/80000, loss=0.2298, lr=0.008051, batch_cost=0.9653, reader_cost=0.0005 | ETA 16:51:30 2020-12-16 18:04:09 [INFO] [TRAIN] epoch=47, iter=17140/80000, loss=0.2799, lr=0.008049, batch_cost=1.0109, reader_cost=0.0001 | ETA 17:39:02 2020-12-16 18:04:17 [INFO] [TRAIN] epoch=47, iter=17150/80000, loss=0.1977, lr=0.008048, batch_cost=0.8625, reader_cost=0.0001 | ETA 15:03:29 2020-12-16 18:04:27 [INFO] [TRAIN] epoch=47, iter=17160/80000, loss=0.2746, lr=0.008047, batch_cost=0.9031, reader_cost=0.0017 | ETA 15:45:51 2020-12-16 18:04:35 [INFO] [TRAIN] epoch=47, iter=17170/80000, loss=0.1998, lr=0.008046, batch_cost=0.8746, reader_cost=0.0022 | ETA 15:15:48 2020-12-16 18:04:45 [INFO] [TRAIN] epoch=47, iter=17180/80000, loss=0.2998, lr=0.008045, batch_cost=0.9516, reader_cost=0.0017 | ETA 16:36:21 2020-12-16 18:04:54 [INFO] [TRAIN] epoch=47, iter=17190/80000, loss=0.2821, lr=0.008044, batch_cost=0.8746, reader_cost=0.0032 | ETA 15:15:36 2020-12-16 18:05:03 [INFO] [TRAIN] epoch=47, iter=17200/80000, loss=0.1777, lr=0.008042, batch_cost=0.9100, reader_cost=0.0022 | ETA 15:52:28 2020-12-16 18:05:13 [INFO] [TRAIN] epoch=47, iter=17210/80000, loss=0.3022, lr=0.008041, batch_cost=0.9910, reader_cost=0.0001 | ETA 17:17:02 2020-12-16 18:05:22 [INFO] [TRAIN] epoch=47, iter=17220/80000, loss=0.2300, lr=0.008040, batch_cost=0.9517, reader_cost=0.0003 | ETA 16:35:48 2020-12-16 18:05:31 [INFO] [TRAIN] epoch=47, iter=17230/80000, loss=0.2299, lr=0.008039, batch_cost=0.8858, reader_cost=0.0037 | ETA 15:26:40 2020-12-16 18:05:40 [INFO] [TRAIN] epoch=47, iter=17240/80000, loss=0.2322, lr=0.008038, batch_cost=0.9531, reader_cost=0.0011 | ETA 16:36:59 2020-12-16 18:05:49 [INFO] [TRAIN] epoch=47, iter=17250/80000, loss=0.1878, lr=0.008037, batch_cost=0.8081, reader_cost=0.0001 | ETA 14:05:05 2020-12-16 18:05:57 [INFO] [TRAIN] epoch=47, iter=17260/80000, loss=0.2612, lr=0.008036, batch_cost=0.8718, reader_cost=0.0001 | ETA 15:11:37 2020-12-16 18:06:06 [INFO] [TRAIN] epoch=47, iter=17270/80000, loss=0.3188, lr=0.008034, batch_cost=0.9090, reader_cost=0.0014 | ETA 15:50:18 2020-12-16 18:06:14 [INFO] [TRAIN] epoch=47, iter=17280/80000, loss=0.2170, lr=0.008033, batch_cost=0.8065, reader_cost=0.0029 | ETA 14:03:05 2020-12-16 18:06:23 [INFO] [TRAIN] epoch=47, iter=17290/80000, loss=0.1907, lr=0.008032, batch_cost=0.8734, reader_cost=0.0014 | ETA 15:12:52 2020-12-16 18:06:32 [INFO] [TRAIN] epoch=47, iter=17300/80000, loss=0.2310, lr=0.008031, batch_cost=0.9296, reader_cost=0.0039 | ETA 16:11:25 2020-12-16 18:06:41 [INFO] [TRAIN] epoch=47, iter=17310/80000, loss=0.1865, lr=0.008030, batch_cost=0.8695, reader_cost=0.0008 | ETA 15:08:31 2020-12-16 18:06:49 [INFO] [TRAIN] epoch=47, iter=17320/80000, loss=0.1739, lr=0.008029, batch_cost=0.8321, reader_cost=0.0031 | ETA 14:29:16 2020-12-16 18:06:58 [INFO] [TRAIN] epoch=47, iter=17330/80000, loss=0.2729, lr=0.008027, batch_cost=0.8277, reader_cost=0.0089 | ETA 14:24:30 2020-12-16 18:07:06 [INFO] [TRAIN] epoch=47, iter=17340/80000, loss=0.1726, lr=0.008026, batch_cost=0.8389, reader_cost=0.0008 | ETA 14:36:04 2020-12-16 18:07:15 [INFO] [TRAIN] epoch=47, iter=17350/80000, loss=0.2283, lr=0.008025, batch_cost=0.8751, reader_cost=0.0004 | ETA 15:13:45 2020-12-16 18:07:24 [INFO] [TRAIN] epoch=47, iter=17360/80000, loss=0.2163, lr=0.008024, batch_cost=0.9294, reader_cost=0.0022 | ETA 16:10:20 2020-12-16 18:07:32 [INFO] [TRAIN] epoch=47, iter=17370/80000, loss=0.2520, lr=0.008023, batch_cost=0.7985, reader_cost=0.0011 | ETA 13:53:28 2020-12-16 18:07:38 [INFO] [TRAIN] epoch=47, iter=17380/80000, loss=0.2443, lr=0.008022, batch_cost=0.5371, reader_cost=0.0001 | ETA 09:20:33 2020-12-16 18:07:43 [INFO] [TRAIN] epoch=47, iter=17390/80000, loss=0.2220, lr=0.008021, batch_cost=0.5795, reader_cost=0.0001 | ETA 10:04:44 2020-12-16 18:07:49 [INFO] [TRAIN] epoch=47, iter=17400/80000, loss=0.2601, lr=0.008019, batch_cost=0.5520, reader_cost=0.0001 | ETA 09:35:55 2020-12-16 18:07:55 [INFO] [TRAIN] epoch=47, iter=17410/80000, loss=0.2187, lr=0.008018, batch_cost=0.5643, reader_cost=0.0002 | ETA 09:48:37 2020-12-16 18:08:00 [INFO] [TRAIN] epoch=47, iter=17420/80000, loss=0.2382, lr=0.008017, batch_cost=0.5583, reader_cost=0.0003 | ETA 09:42:16 2020-12-16 18:08:07 [INFO] [TRAIN] epoch=47, iter=17430/80000, loss=0.2831, lr=0.008016, batch_cost=0.7001, reader_cost=0.0053 | ETA 12:10:07 2020-12-16 18:08:15 [INFO] [TRAIN] epoch=47, iter=17440/80000, loss=0.2067, lr=0.008015, batch_cost=0.7602, reader_cost=0.0005 | ETA 13:12:38 2020-12-16 18:08:23 [INFO] [TRAIN] epoch=47, iter=17450/80000, loss=0.2201, lr=0.008014, batch_cost=0.7864, reader_cost=0.0001 | ETA 13:39:47 2020-12-16 18:08:30 [INFO] [TRAIN] epoch=47, iter=17460/80000, loss=0.1812, lr=0.008012, batch_cost=0.7179, reader_cost=0.0001 | ETA 12:28:17 2020-12-16 18:08:38 [INFO] [TRAIN] epoch=47, iter=17470/80000, loss=0.2194, lr=0.008011, batch_cost=0.8500, reader_cost=0.0009 | ETA 14:45:48 2020-12-16 18:08:46 [INFO] [TRAIN] epoch=47, iter=17480/80000, loss=0.2206, lr=0.008010, batch_cost=0.8037, reader_cost=0.0014 | ETA 13:57:24 2020-12-16 18:08:55 [INFO] [TRAIN] epoch=48, iter=17490/80000, loss=0.2206, lr=0.008009, batch_cost=0.8806, reader_cost=0.0551 | ETA 15:17:28 2020-12-16 18:09:03 [INFO] [TRAIN] epoch=48, iter=17500/80000, loss=0.2794, lr=0.008008, batch_cost=0.7466, reader_cost=0.0051 | ETA 12:57:39 2020-12-16 18:09:10 [INFO] [TRAIN] epoch=48, iter=17510/80000, loss=0.2885, lr=0.008007, batch_cost=0.7282, reader_cost=0.0006 | ETA 12:38:22 2020-12-16 18:09:17 [INFO] [TRAIN] epoch=48, iter=17520/80000, loss=0.3175, lr=0.008006, batch_cost=0.7524, reader_cost=0.0002 | ETA 13:03:29 2020-12-16 18:09:25 [INFO] [TRAIN] epoch=48, iter=17530/80000, loss=0.2039, lr=0.008004, batch_cost=0.7971, reader_cost=0.0008 | ETA 13:49:57 2020-12-16 18:09:33 [INFO] [TRAIN] epoch=48, iter=17540/80000, loss=0.3073, lr=0.008003, batch_cost=0.7891, reader_cost=0.0010 | ETA 13:41:25 2020-12-16 18:09:41 [INFO] [TRAIN] epoch=48, iter=17550/80000, loss=0.2140, lr=0.008002, batch_cost=0.7810, reader_cost=0.0005 | ETA 13:32:55 2020-12-16 18:09:48 [INFO] [TRAIN] epoch=48, iter=17560/80000, loss=0.2387, lr=0.008001, batch_cost=0.7408, reader_cost=0.0002 | ETA 12:50:56 2020-12-16 18:09:57 [INFO] [TRAIN] epoch=48, iter=17570/80000, loss=0.1924, lr=0.008000, batch_cost=0.8183, reader_cost=0.0020 | ETA 14:11:29 2020-12-16 18:10:04 [INFO] [TRAIN] epoch=48, iter=17580/80000, loss=0.2034, lr=0.007999, batch_cost=0.7405, reader_cost=0.0001 | ETA 12:50:24 2020-12-16 18:10:12 [INFO] [TRAIN] epoch=48, iter=17590/80000, loss=0.2536, lr=0.007997, batch_cost=0.8067, reader_cost=0.0013 | ETA 13:59:07 2020-12-16 18:10:20 [INFO] [TRAIN] epoch=48, iter=17600/80000, loss=0.2916, lr=0.007996, batch_cost=0.7921, reader_cost=0.0028 | ETA 13:43:47 2020-12-16 18:10:28 [INFO] [TRAIN] epoch=48, iter=17610/80000, loss=0.2679, lr=0.007995, batch_cost=0.7576, reader_cost=0.0008 | ETA 13:07:45 2020-12-16 18:10:36 [INFO] [TRAIN] epoch=48, iter=17620/80000, loss=0.1863, lr=0.007994, batch_cost=0.8116, reader_cost=0.0005 | ETA 14:03:48 2020-12-16 18:10:42 [INFO] [TRAIN] epoch=48, iter=17630/80000, loss=0.2412, lr=0.007993, batch_cost=0.6744, reader_cost=0.0019 | ETA 11:41:00 2020-12-16 18:10:50 [INFO] [TRAIN] epoch=48, iter=17640/80000, loss=0.2047, lr=0.007992, batch_cost=0.7428, reader_cost=0.0013 | ETA 12:52:02 2020-12-16 18:10:58 [INFO] [TRAIN] epoch=48, iter=17650/80000, loss=0.2746, lr=0.007991, batch_cost=0.7820, reader_cost=0.0001 | ETA 13:32:36 2020-12-16 18:11:06 [INFO] [TRAIN] epoch=48, iter=17660/80000, loss=0.1734, lr=0.007989, batch_cost=0.8091, reader_cost=0.0004 | ETA 14:00:41 2020-12-16 18:11:14 [INFO] [TRAIN] epoch=48, iter=17670/80000, loss=0.2396, lr=0.007988, batch_cost=0.8198, reader_cost=0.0006 | ETA 14:11:35 2020-12-16 18:11:22 [INFO] [TRAIN] epoch=48, iter=17680/80000, loss=0.2211, lr=0.007987, batch_cost=0.8024, reader_cost=0.0014 | ETA 13:53:24 2020-12-16 18:11:30 [INFO] [TRAIN] epoch=48, iter=17690/80000, loss=0.2002, lr=0.007986, batch_cost=0.7663, reader_cost=0.0001 | ETA 13:15:46 2020-12-16 18:11:37 [INFO] [TRAIN] epoch=48, iter=17700/80000, loss=0.1776, lr=0.007985, batch_cost=0.7474, reader_cost=0.0007 | ETA 12:56:04 2020-12-16 18:11:45 [INFO] [TRAIN] epoch=48, iter=17710/80000, loss=0.2140, lr=0.007984, batch_cost=0.8225, reader_cost=0.0014 | ETA 14:13:56 2020-12-16 18:11:54 [INFO] [TRAIN] epoch=48, iter=17720/80000, loss=0.2062, lr=0.007983, batch_cost=0.8515, reader_cost=0.0040 | ETA 14:43:51 2020-12-16 18:12:02 [INFO] [TRAIN] epoch=48, iter=17730/80000, loss=0.1813, lr=0.007981, batch_cost=0.7779, reader_cost=0.0032 | ETA 13:27:22 2020-12-16 18:12:10 [INFO] [TRAIN] epoch=48, iter=17740/80000, loss=0.3629, lr=0.007980, batch_cost=0.8034, reader_cost=0.0002 | ETA 13:53:41 2020-12-16 18:12:17 [INFO] [TRAIN] epoch=48, iter=17750/80000, loss=0.1747, lr=0.007979, batch_cost=0.7221, reader_cost=0.0001 | ETA 12:29:09 2020-12-16 18:12:24 [INFO] [TRAIN] epoch=48, iter=17760/80000, loss=0.2011, lr=0.007978, batch_cost=0.6866, reader_cost=0.0006 | ETA 11:52:10 2020-12-16 18:12:29 [INFO] [TRAIN] epoch=48, iter=17770/80000, loss=0.2847, lr=0.007977, batch_cost=0.5424, reader_cost=0.0003 | ETA 09:22:32 2020-12-16 18:12:35 [INFO] [TRAIN] epoch=48, iter=17780/80000, loss=0.2195, lr=0.007976, batch_cost=0.5787, reader_cost=0.0001 | ETA 10:00:05 2020-12-16 18:12:40 [INFO] [TRAIN] epoch=48, iter=17790/80000, loss=0.1771, lr=0.007974, batch_cost=0.5321, reader_cost=0.0003 | ETA 09:11:40 2020-12-16 18:12:46 [INFO] [TRAIN] epoch=48, iter=17800/80000, loss=0.2789, lr=0.007973, batch_cost=0.5810, reader_cost=0.0001 | ETA 10:02:17 2020-12-16 18:12:52 [INFO] [TRAIN] epoch=48, iter=17810/80000, loss=0.2090, lr=0.007972, batch_cost=0.6042, reader_cost=0.0004 | ETA 10:26:16 2020-12-16 18:13:01 [INFO] [TRAIN] epoch=48, iter=17820/80000, loss=0.2612, lr=0.007971, batch_cost=0.8273, reader_cost=0.0021 | ETA 14:17:23 2020-12-16 18:13:09 [INFO] [TRAIN] epoch=48, iter=17830/80000, loss=0.2317, lr=0.007970, batch_cost=0.8686, reader_cost=0.0005 | ETA 15:00:03 2020-12-16 18:13:19 [INFO] [TRAIN] epoch=48, iter=17840/80000, loss=0.1775, lr=0.007969, batch_cost=0.9400, reader_cost=0.0003 | ETA 16:13:48 2020-12-16 18:13:28 [INFO] [TRAIN] epoch=48, iter=17850/80000, loss=0.2693, lr=0.007968, batch_cost=0.9582, reader_cost=0.0001 | ETA 16:32:29 2020-12-16 18:13:37 [INFO] [TRAIN] epoch=49, iter=17860/80000, loss=0.2226, lr=0.007966, batch_cost=0.8594, reader_cost=0.0667 | ETA 14:50:02 2020-12-16 18:13:46 [INFO] [TRAIN] epoch=49, iter=17870/80000, loss=0.2270, lr=0.007965, batch_cost=0.9586, reader_cost=0.0004 | ETA 16:32:37 2020-12-16 18:13:55 [INFO] [TRAIN] epoch=49, iter=17880/80000, loss=0.1681, lr=0.007964, batch_cost=0.8955, reader_cost=0.0005 | ETA 15:27:06 2020-12-16 18:14:04 [INFO] [TRAIN] epoch=49, iter=17890/80000, loss=0.1730, lr=0.007963, batch_cost=0.9035, reader_cost=0.0009 | ETA 15:35:14 2020-12-16 18:14:15 [INFO] [TRAIN] epoch=49, iter=17900/80000, loss=0.2311, lr=0.007962, batch_cost=1.0251, reader_cost=0.0002 | ETA 17:41:01 2020-12-16 18:14:23 [INFO] [TRAIN] epoch=49, iter=17910/80000, loss=0.2074, lr=0.007961, batch_cost=0.8600, reader_cost=0.0001 | ETA 14:49:57 2020-12-16 18:14:32 [INFO] [TRAIN] epoch=49, iter=17920/80000, loss=0.2181, lr=0.007959, batch_cost=0.8900, reader_cost=0.0014 | ETA 15:20:53 2020-12-16 18:14:41 [INFO] [TRAIN] epoch=49, iter=17930/80000, loss=0.2179, lr=0.007958, batch_cost=0.8866, reader_cost=0.0013 | ETA 15:17:12 2020-12-16 18:14:51 [INFO] [TRAIN] epoch=49, iter=17940/80000, loss=0.2008, lr=0.007957, batch_cost=0.9853, reader_cost=0.0018 | ETA 16:59:06 2020-12-16 18:15:00 [INFO] [TRAIN] epoch=49, iter=17950/80000, loss=0.2421, lr=0.007956, batch_cost=0.8712, reader_cost=0.0025 | ETA 15:00:56 2020-12-16 18:15:09 [INFO] [TRAIN] epoch=49, iter=17960/80000, loss=0.1663, lr=0.007955, batch_cost=0.9166, reader_cost=0.0029 | ETA 15:47:47 2020-12-16 18:15:18 [INFO] [TRAIN] epoch=49, iter=17970/80000, loss=0.1844, lr=0.007954, batch_cost=0.8876, reader_cost=0.0018 | ETA 15:17:34 2020-12-16 18:15:26 [INFO] [TRAIN] epoch=49, iter=17980/80000, loss=0.1343, lr=0.007953, batch_cost=0.8720, reader_cost=0.0082 | ETA 15:01:18 2020-12-16 18:15:35 [INFO] [TRAIN] epoch=49, iter=17990/80000, loss=0.2852, lr=0.007951, batch_cost=0.8737, reader_cost=0.0044 | ETA 15:02:55 2020-12-16 18:15:44 [INFO] [TRAIN] epoch=49, iter=18000/80000, loss=0.1635, lr=0.007950, batch_cost=0.8614, reader_cost=0.0022 | ETA 14:50:04 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 18:15:44 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 18:16:40 [INFO] [EVAL] #Images=500 mIoU=0.7371 Acc=0.9535 Kappa=0.9395 2020-12-16 18:16:40 [INFO] [EVAL] Class IoU: [0.9787 0.8266 0.9106 0.3895 0.5476 0.5513 0.6656 0.7522 0.9176 0.5984 0.9415 0.7849 0.5646 0.9375 0.7768 0.7828 0.7291 0.605 0.7455] 2020-12-16 18:16:40 [INFO] [EVAL] Class Acc: [0.9882 0.9105 0.9389 0.846 0.7291 0.769 0.7877 0.8885 0.9531 0.8575 0.9677 0.8658 0.7259 0.9734 0.9302 0.8322 0.8954 0.7316 0.8354] 2020-12-16 18:16:52 [INFO] [EVAL] The model with the best validation mIoU (0.7371) was saved at iter 18000. 2020-12-16 18:16:59 [INFO] [TRAIN] epoch=49, iter=18010/80000, loss=0.2864, lr=0.007949, batch_cost=0.7461, reader_cost=0.0004 | ETA 12:50:49 2020-12-16 18:17:09 [INFO] [TRAIN] epoch=49, iter=18020/80000, loss=0.2779, lr=0.007948, batch_cost=0.9762, reader_cost=0.0054 | ETA 16:48:27 2020-12-16 18:17:18 [INFO] [TRAIN] epoch=49, iter=18030/80000, loss=0.2024, lr=0.007947, batch_cost=0.8563, reader_cost=0.0003 | ETA 14:44:27 2020-12-16 18:17:27 [INFO] [TRAIN] epoch=49, iter=18040/80000, loss=0.1645, lr=0.007946, batch_cost=0.9718, reader_cost=0.0024 | ETA 16:43:30 2020-12-16 18:17:37 [INFO] [TRAIN] epoch=49, iter=18050/80000, loss=0.1636, lr=0.007944, batch_cost=0.9264, reader_cost=0.0002 | ETA 15:56:31 2020-12-16 18:17:45 [INFO] [TRAIN] epoch=49, iter=18060/80000, loss=0.1889, lr=0.007943, batch_cost=0.8843, reader_cost=0.0001 | ETA 15:12:51 2020-12-16 18:17:55 [INFO] [TRAIN] epoch=49, iter=18070/80000, loss=0.1564, lr=0.007942, batch_cost=0.9380, reader_cost=0.0039 | ETA 16:08:08 2020-12-16 18:18:04 [INFO] [TRAIN] epoch=49, iter=18080/80000, loss=0.2085, lr=0.007941, batch_cost=0.9209, reader_cost=0.0020 | ETA 15:50:20 2020-12-16 18:18:13 [INFO] [TRAIN] epoch=49, iter=18090/80000, loss=0.1918, lr=0.007940, batch_cost=0.8713, reader_cost=0.0053 | ETA 14:59:02 2020-12-16 18:18:22 [INFO] [TRAIN] epoch=49, iter=18100/80000, loss=0.2141, lr=0.007939, batch_cost=0.9370, reader_cost=0.0041 | ETA 16:06:40 2020-12-16 18:18:31 [INFO] [TRAIN] epoch=49, iter=18110/80000, loss=0.2995, lr=0.007938, batch_cost=0.8532, reader_cost=0.0001 | ETA 14:40:02 2020-12-16 18:18:37 [INFO] [TRAIN] epoch=49, iter=18120/80000, loss=0.2004, lr=0.007936, batch_cost=0.6256, reader_cost=0.0017 | ETA 10:45:14 2020-12-16 18:18:42 [INFO] [TRAIN] epoch=49, iter=18130/80000, loss=0.2362, lr=0.007935, batch_cost=0.5510, reader_cost=0.0001 | ETA 09:28:07 2020-12-16 18:18:48 [INFO] [TRAIN] epoch=49, iter=18140/80000, loss=0.2712, lr=0.007934, batch_cost=0.5509, reader_cost=0.0001 | ETA 09:28:00 2020-12-16 18:18:53 [INFO] [TRAIN] epoch=49, iter=18150/80000, loss=0.2930, lr=0.007933, batch_cost=0.5364, reader_cost=0.0001 | ETA 09:12:56 2020-12-16 18:18:59 [INFO] [TRAIN] epoch=49, iter=18160/80000, loss=0.2629, lr=0.007932, batch_cost=0.5512, reader_cost=0.0002 | ETA 09:28:06 2020-12-16 18:19:04 [INFO] [TRAIN] epoch=49, iter=18170/80000, loss=0.2364, lr=0.007931, batch_cost=0.5393, reader_cost=0.0001 | ETA 09:15:43 2020-12-16 18:19:10 [INFO] [TRAIN] epoch=49, iter=18180/80000, loss=0.1889, lr=0.007929, batch_cost=0.5900, reader_cost=0.0001 | ETA 10:07:54 2020-12-16 18:19:19 [INFO] [TRAIN] epoch=49, iter=18190/80000, loss=0.1956, lr=0.007928, batch_cost=0.9189, reader_cost=0.0005 | ETA 15:46:38 2020-12-16 18:19:29 [INFO] [TRAIN] epoch=49, iter=18200/80000, loss=0.2637, lr=0.007927, batch_cost=0.9305, reader_cost=0.0019 | ETA 15:58:25 2020-12-16 18:19:38 [INFO] [TRAIN] epoch=49, iter=18210/80000, loss=0.1846, lr=0.007926, batch_cost=0.9804, reader_cost=0.0005 | ETA 16:49:36 2020-12-16 18:19:46 [INFO] [TRAIN] epoch=49, iter=18220/80000, loss=0.1970, lr=0.007925, batch_cost=0.7785, reader_cost=0.0001 | ETA 13:21:35 2020-12-16 18:19:52 [INFO] [TRAIN] epoch=50, iter=18230/80000, loss=0.2569, lr=0.007924, batch_cost=0.5832, reader_cost=0.0482 | ETA 10:00:25 2020-12-16 18:19:58 [INFO] [TRAIN] epoch=50, iter=18240/80000, loss=0.1933, lr=0.007922, batch_cost=0.6188, reader_cost=0.0003 | ETA 10:36:55 2020-12-16 18:20:04 [INFO] [TRAIN] epoch=50, iter=18250/80000, loss=0.3456, lr=0.007921, batch_cost=0.5559, reader_cost=0.0001 | ETA 09:32:06 2020-12-16 18:20:09 [INFO] [TRAIN] epoch=50, iter=18260/80000, loss=0.3118, lr=0.007920, batch_cost=0.5719, reader_cost=0.0005 | ETA 09:48:28 2020-12-16 18:20:15 [INFO] [TRAIN] epoch=50, iter=18270/80000, loss=0.2838, lr=0.007919, batch_cost=0.5987, reader_cost=0.0026 | ETA 10:15:56 2020-12-16 18:20:24 [INFO] [TRAIN] epoch=50, iter=18280/80000, loss=0.2571, lr=0.007918, batch_cost=0.8164, reader_cost=0.0025 | ETA 13:59:50 2020-12-16 18:20:31 [INFO] [TRAIN] epoch=50, iter=18290/80000, loss=0.2318, lr=0.007917, batch_cost=0.7815, reader_cost=0.0010 | ETA 13:23:45 2020-12-16 18:20:40 [INFO] [TRAIN] epoch=50, iter=18300/80000, loss=0.1965, lr=0.007916, batch_cost=0.8264, reader_cost=0.0048 | ETA 14:09:50 2020-12-16 18:20:47 [INFO] [TRAIN] epoch=50, iter=18310/80000, loss=0.2390, lr=0.007914, batch_cost=0.7145, reader_cost=0.0002 | ETA 12:14:35 2020-12-16 18:20:55 [INFO] [TRAIN] epoch=50, iter=18320/80000, loss=0.2425, lr=0.007913, batch_cost=0.7880, reader_cost=0.0001 | ETA 13:30:04 2020-12-16 18:21:03 [INFO] [TRAIN] epoch=50, iter=18330/80000, loss=0.1637, lr=0.007912, batch_cost=0.7793, reader_cost=0.0001 | ETA 13:20:56 2020-12-16 18:21:10 [INFO] [TRAIN] epoch=50, iter=18340/80000, loss=0.3924, lr=0.007911, batch_cost=0.7450, reader_cost=0.0014 | ETA 12:45:34 2020-12-16 18:21:18 [INFO] [TRAIN] epoch=50, iter=18350/80000, loss=0.3758, lr=0.007910, batch_cost=0.8223, reader_cost=0.0009 | ETA 14:04:54 2020-12-16 18:21:27 [INFO] [TRAIN] epoch=50, iter=18360/80000, loss=0.2318, lr=0.007909, batch_cost=0.8863, reader_cost=0.0029 | ETA 15:10:31 2020-12-16 18:21:35 [INFO] [TRAIN] epoch=50, iter=18370/80000, loss=0.2239, lr=0.007907, batch_cost=0.7979, reader_cost=0.0012 | ETA 13:39:34 2020-12-16 18:21:43 [INFO] [TRAIN] epoch=50, iter=18380/80000, loss=0.2436, lr=0.007906, batch_cost=0.7799, reader_cost=0.0005 | ETA 13:20:54 2020-12-16 18:21:51 [INFO] [TRAIN] epoch=50, iter=18390/80000, loss=0.1917, lr=0.007905, batch_cost=0.8175, reader_cost=0.0010 | ETA 13:59:25 2020-12-16 18:22:00 [INFO] [TRAIN] epoch=50, iter=18400/80000, loss=0.2011, lr=0.007904, batch_cost=0.8667, reader_cost=0.0025 | ETA 14:49:49 2020-12-16 18:22:07 [INFO] [TRAIN] epoch=50, iter=18410/80000, loss=0.2591, lr=0.007903, batch_cost=0.6954, reader_cost=0.0022 | ETA 11:53:52 2020-12-16 18:22:15 [INFO] [TRAIN] epoch=50, iter=18420/80000, loss=0.2651, lr=0.007902, batch_cost=0.8775, reader_cost=0.0009 | ETA 15:00:37 2020-12-16 18:22:24 [INFO] [TRAIN] epoch=50, iter=18430/80000, loss=0.3609, lr=0.007901, batch_cost=0.9063, reader_cost=0.0009 | ETA 15:29:58 2020-12-16 18:22:33 [INFO] [TRAIN] epoch=50, iter=18440/80000, loss=0.3091, lr=0.007899, batch_cost=0.8524, reader_cost=0.0005 | ETA 14:34:33 2020-12-16 18:22:41 [INFO] [TRAIN] epoch=50, iter=18450/80000, loss=0.3041, lr=0.007898, batch_cost=0.7530, reader_cost=0.0016 | ETA 12:52:24 2020-12-16 18:22:49 [INFO] [TRAIN] epoch=50, iter=18460/80000, loss=0.2615, lr=0.007897, batch_cost=0.8061, reader_cost=0.0019 | ETA 13:46:48 2020-12-16 18:22:57 [INFO] [TRAIN] epoch=50, iter=18470/80000, loss=0.2173, lr=0.007896, batch_cost=0.7885, reader_cost=0.0005 | ETA 13:28:33 2020-12-16 18:23:05 [INFO] [TRAIN] epoch=50, iter=18480/80000, loss=0.2416, lr=0.007895, batch_cost=0.8405, reader_cost=0.0001 | ETA 14:21:50 2020-12-16 18:23:12 [INFO] [TRAIN] epoch=50, iter=18490/80000, loss=0.2126, lr=0.007894, batch_cost=0.7302, reader_cost=0.0001 | ETA 12:28:34 2020-12-16 18:23:20 [INFO] [TRAIN] epoch=50, iter=18500/80000, loss=0.2224, lr=0.007892, batch_cost=0.7537, reader_cost=0.0010 | ETA 12:52:33 2020-12-16 18:23:27 [INFO] [TRAIN] epoch=50, iter=18510/80000, loss=0.1969, lr=0.007891, batch_cost=0.7402, reader_cost=0.0018 | ETA 12:38:37 2020-12-16 18:23:35 [INFO] [TRAIN] epoch=50, iter=18520/80000, loss=0.3321, lr=0.007890, batch_cost=0.7629, reader_cost=0.0014 | ETA 13:01:44 2020-12-16 18:23:43 [INFO] [TRAIN] epoch=50, iter=18530/80000, loss=0.3066, lr=0.007889, batch_cost=0.8102, reader_cost=0.0005 | ETA 13:50:02 2020-12-16 18:23:51 [INFO] [TRAIN] epoch=50, iter=18540/80000, loss=0.2824, lr=0.007888, batch_cost=0.8320, reader_cost=0.0001 | ETA 14:12:14 2020-12-16 18:23:59 [INFO] [TRAIN] epoch=50, iter=18550/80000, loss=0.3087, lr=0.007887, batch_cost=0.7897, reader_cost=0.0019 | ETA 13:28:44 2020-12-16 18:24:07 [INFO] [TRAIN] epoch=50, iter=18560/80000, loss=0.2347, lr=0.007886, batch_cost=0.7729, reader_cost=0.0009 | ETA 13:11:25 2020-12-16 18:24:15 [INFO] [TRAIN] epoch=50, iter=18570/80000, loss=0.1971, lr=0.007884, batch_cost=0.8067, reader_cost=0.0011 | ETA 13:45:52 2020-12-16 18:24:23 [INFO] [TRAIN] epoch=50, iter=18580/80000, loss=0.3975, lr=0.007883, batch_cost=0.7781, reader_cost=0.0017 | ETA 13:16:29 2020-12-16 18:24:31 [INFO] [TRAIN] epoch=50, iter=18590/80000, loss=0.2334, lr=0.007882, batch_cost=0.8709, reader_cost=0.0020 | ETA 14:51:25 2020-12-16 18:24:38 [INFO] [TRAIN] epoch=50, iter=18600/80000, loss=0.1951, lr=0.007881, batch_cost=0.6153, reader_cost=0.0001 | ETA 10:29:38 2020-12-16 18:24:44 [INFO] [TRAIN] epoch=51, iter=18610/80000, loss=0.2198, lr=0.007880, batch_cost=0.6187, reader_cost=0.0484 | ETA 10:33:03 2020-12-16 18:24:50 [INFO] [TRAIN] epoch=51, iter=18620/80000, loss=0.2744, lr=0.007879, batch_cost=0.5891, reader_cost=0.0002 | ETA 10:02:41 2020-12-16 18:24:55 [INFO] [TRAIN] epoch=51, iter=18630/80000, loss=0.2800, lr=0.007877, batch_cost=0.5587, reader_cost=0.0001 | ETA 09:31:26 2020-12-16 18:25:01 [INFO] [TRAIN] epoch=51, iter=18640/80000, loss=0.2962, lr=0.007876, batch_cost=0.5578, reader_cost=0.0001 | ETA 09:30:28 2020-12-16 18:25:07 [INFO] [TRAIN] epoch=51, iter=18650/80000, loss=0.1961, lr=0.007875, batch_cost=0.6596, reader_cost=0.0003 | ETA 11:14:27 2020-12-16 18:25:17 [INFO] [TRAIN] epoch=51, iter=18660/80000, loss=0.2418, lr=0.007874, batch_cost=0.9327, reader_cost=0.0006 | ETA 15:53:31 2020-12-16 18:25:26 [INFO] [TRAIN] epoch=51, iter=18670/80000, loss=0.1795, lr=0.007873, batch_cost=0.8830, reader_cost=0.0005 | ETA 15:02:34 2020-12-16 18:25:35 [INFO] [TRAIN] epoch=51, iter=18680/80000, loss=0.2236, lr=0.007872, batch_cost=0.9556, reader_cost=0.0008 | ETA 16:16:37 2020-12-16 18:25:43 [INFO] [TRAIN] epoch=51, iter=18690/80000, loss=0.2515, lr=0.007871, batch_cost=0.8210, reader_cost=0.0021 | ETA 13:58:52 2020-12-16 18:25:51 [INFO] [TRAIN] epoch=51, iter=18700/80000, loss=0.2796, lr=0.007869, batch_cost=0.8079, reader_cost=0.0010 | ETA 13:45:25 2020-12-16 18:25:59 [INFO] [TRAIN] epoch=51, iter=18710/80000, loss=0.2276, lr=0.007868, batch_cost=0.7263, reader_cost=0.0001 | ETA 12:21:56 2020-12-16 18:26:07 [INFO] [TRAIN] epoch=51, iter=18720/80000, loss=0.1947, lr=0.007867, batch_cost=0.7871, reader_cost=0.0001 | ETA 13:23:53 2020-12-16 18:26:14 [INFO] [TRAIN] epoch=51, iter=18730/80000, loss=0.2434, lr=0.007866, batch_cost=0.7501, reader_cost=0.0012 | ETA 12:45:59 2020-12-16 18:26:22 [INFO] [TRAIN] epoch=51, iter=18740/80000, loss=0.3541, lr=0.007865, batch_cost=0.7695, reader_cost=0.0014 | ETA 13:05:42 2020-12-16 18:26:31 [INFO] [TRAIN] epoch=51, iter=18750/80000, loss=0.2626, lr=0.007864, batch_cost=0.8841, reader_cost=0.0021 | ETA 15:02:28 2020-12-16 18:26:39 [INFO] [TRAIN] epoch=51, iter=18760/80000, loss=0.2070, lr=0.007862, batch_cost=0.8412, reader_cost=0.0013 | ETA 14:18:34 2020-12-16 18:26:48 [INFO] [TRAIN] epoch=51, iter=18770/80000, loss=0.1663, lr=0.007861, batch_cost=0.9095, reader_cost=0.0017 | ETA 15:28:07 2020-12-16 18:26:57 [INFO] [TRAIN] epoch=51, iter=18780/80000, loss=0.2504, lr=0.007860, batch_cost=0.8696, reader_cost=0.0075 | ETA 14:47:19 2020-12-16 18:27:06 [INFO] [TRAIN] epoch=51, iter=18790/80000, loss=0.2866, lr=0.007859, batch_cost=0.8944, reader_cost=0.0034 | ETA 15:12:29 2020-12-16 18:27:14 [INFO] [TRAIN] epoch=51, iter=18800/80000, loss=0.2452, lr=0.007858, batch_cost=0.8674, reader_cost=0.0002 | ETA 14:44:43 2020-12-16 18:27:23 [INFO] [TRAIN] epoch=51, iter=18810/80000, loss=0.2694, lr=0.007857, batch_cost=0.8725, reader_cost=0.0002 | ETA 14:49:46 2020-12-16 18:27:32 [INFO] [TRAIN] epoch=51, iter=18820/80000, loss=0.1739, lr=0.007856, batch_cost=0.8410, reader_cost=0.0019 | ETA 14:17:30 2020-12-16 18:27:40 [INFO] [TRAIN] epoch=51, iter=18830/80000, loss=0.1592, lr=0.007854, batch_cost=0.8090, reader_cost=0.0002 | ETA 13:44:43 2020-12-16 18:27:48 [INFO] [TRAIN] epoch=51, iter=18840/80000, loss=0.2488, lr=0.007853, batch_cost=0.8373, reader_cost=0.0024 | ETA 14:13:27 2020-12-16 18:27:56 [INFO] [TRAIN] epoch=51, iter=18850/80000, loss=0.2334, lr=0.007852, batch_cost=0.7611, reader_cost=0.0001 | ETA 12:55:42 2020-12-16 18:28:04 [INFO] [TRAIN] epoch=51, iter=18860/80000, loss=0.1818, lr=0.007851, batch_cost=0.8809, reader_cost=0.0014 | ETA 14:57:37 2020-12-16 18:28:13 [INFO] [TRAIN] epoch=51, iter=18870/80000, loss=0.2888, lr=0.007850, batch_cost=0.8277, reader_cost=0.0026 | ETA 14:03:15 2020-12-16 18:28:21 [INFO] [TRAIN] epoch=51, iter=18880/80000, loss=0.1955, lr=0.007849, batch_cost=0.8232, reader_cost=0.0001 | ETA 13:58:35 2020-12-16 18:28:29 [INFO] [TRAIN] epoch=51, iter=18890/80000, loss=0.2422, lr=0.007847, batch_cost=0.7825, reader_cost=0.0009 | ETA 13:16:59 2020-12-16 18:28:37 [INFO] [TRAIN] epoch=51, iter=18900/80000, loss=0.1852, lr=0.007846, batch_cost=0.8402, reader_cost=0.0021 | ETA 14:15:35 2020-12-16 18:28:45 [INFO] [TRAIN] epoch=51, iter=18910/80000, loss=0.2058, lr=0.007845, batch_cost=0.7405, reader_cost=0.0006 | ETA 12:33:56 2020-12-16 18:28:52 [INFO] [TRAIN] epoch=51, iter=18920/80000, loss=0.3052, lr=0.007844, batch_cost=0.7532, reader_cost=0.0026 | ETA 12:46:43 2020-12-16 18:29:01 [INFO] [TRAIN] epoch=51, iter=18930/80000, loss=0.3832, lr=0.007843, batch_cost=0.8948, reader_cost=0.0001 | ETA 15:10:43 2020-12-16 18:29:09 [INFO] [TRAIN] epoch=51, iter=18940/80000, loss=0.2959, lr=0.007842, batch_cost=0.8037, reader_cost=0.0042 | ETA 13:37:52 2020-12-16 18:29:18 [INFO] [TRAIN] epoch=51, iter=18950/80000, loss=0.2416, lr=0.007840, batch_cost=0.8341, reader_cost=0.0002 | ETA 14:08:43 2020-12-16 18:29:25 [INFO] [TRAIN] epoch=51, iter=18960/80000, loss=0.2730, lr=0.007839, batch_cost=0.7821, reader_cost=0.0008 | ETA 13:15:38 2020-12-16 18:29:32 [INFO] [TRAIN] epoch=51, iter=18970/80000, loss=0.2776, lr=0.007838, batch_cost=0.7047, reader_cost=0.0079 | ETA 11:56:49 2020-12-16 18:29:41 [INFO] [TRAIN] epoch=52, iter=18980/80000, loss=0.2932, lr=0.007837, batch_cost=0.8336, reader_cost=0.0698 | ETA 14:07:48 2020-12-16 18:29:49 [INFO] [TRAIN] epoch=52, iter=18990/80000, loss=0.1962, lr=0.007836, batch_cost=0.7854, reader_cost=0.0118 | ETA 13:18:38 2020-12-16 18:29:56 [INFO] [TRAIN] epoch=52, iter=19000/80000, loss=0.2323, lr=0.007835, batch_cost=0.7749, reader_cost=0.0090 | ETA 13:07:46 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 18:29:56 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 18:30:35 [INFO] [EVAL] #Images=500 mIoU=0.7166 Acc=0.9506 Kappa=0.9357 2020-12-16 18:30:35 [INFO] [EVAL] Class IoU: [0.9749 0.8101 0.9041 0.4087 0.4918 0.5568 0.6602 0.7141 0.916 0.6133 0.9401 0.7869 0.588 0.9327 0.7141 0.7494 0.5313 0.5743 0.749 ] 2020-12-16 18:30:35 [INFO] [EVAL] Class Acc: [0.9854 0.9092 0.9325 0.737 0.7595 0.7406 0.8049 0.9097 0.9536 0.8561 0.9665 0.8889 0.7264 0.9582 0.9319 0.9585 0.9448 0.7886 0.8462] 2020-12-16 18:30:42 [INFO] [EVAL] The model with the best validation mIoU (0.7371) was saved at iter 18000. 2020-12-16 18:30:51 [INFO] [TRAIN] epoch=52, iter=19010/80000, loss=0.2049, lr=0.007834, batch_cost=0.8627, reader_cost=0.0008 | ETA 14:36:58 2020-12-16 18:30:58 [INFO] [TRAIN] epoch=52, iter=19020/80000, loss=0.1771, lr=0.007832, batch_cost=0.7940, reader_cost=0.0025 | ETA 13:26:59 2020-12-16 18:31:07 [INFO] [TRAIN] epoch=52, iter=19030/80000, loss=0.2159, lr=0.007831, batch_cost=0.8725, reader_cost=0.0019 | ETA 14:46:36 2020-12-16 18:31:16 [INFO] [TRAIN] epoch=52, iter=19040/80000, loss=0.1426, lr=0.007830, batch_cost=0.8908, reader_cost=0.0001 | ETA 15:05:01 2020-12-16 18:31:25 [INFO] [TRAIN] epoch=52, iter=19050/80000, loss=0.2216, lr=0.007829, batch_cost=0.9183, reader_cost=0.0002 | ETA 15:32:50 2020-12-16 18:31:33 [INFO] [TRAIN] epoch=52, iter=19060/80000, loss=0.2497, lr=0.007828, batch_cost=0.7848, reader_cost=0.0028 | ETA 13:17:07 2020-12-16 18:31:42 [INFO] [TRAIN] epoch=52, iter=19070/80000, loss=0.1919, lr=0.007827, batch_cost=0.8443, reader_cost=0.0028 | ETA 14:17:23 2020-12-16 18:31:50 [INFO] [TRAIN] epoch=52, iter=19080/80000, loss=0.2882, lr=0.007825, batch_cost=0.7937, reader_cost=0.0002 | ETA 13:25:54 2020-12-16 18:31:58 [INFO] [TRAIN] epoch=52, iter=19090/80000, loss=0.2100, lr=0.007824, batch_cost=0.8618, reader_cost=0.0002 | ETA 14:34:52 2020-12-16 18:32:07 [INFO] [TRAIN] epoch=52, iter=19100/80000, loss=0.1990, lr=0.007823, batch_cost=0.8754, reader_cost=0.0017 | ETA 14:48:31 2020-12-16 18:32:15 [INFO] [TRAIN] epoch=52, iter=19110/80000, loss=0.2213, lr=0.007822, batch_cost=0.8159, reader_cost=0.0031 | ETA 13:48:00 2020-12-16 18:32:24 [INFO] [TRAIN] epoch=52, iter=19120/80000, loss=0.1623, lr=0.007821, batch_cost=0.8443, reader_cost=0.0016 | ETA 14:16:40 2020-12-16 18:32:32 [INFO] [TRAIN] epoch=52, iter=19130/80000, loss=0.2835, lr=0.007820, batch_cost=0.8682, reader_cost=0.0017 | ETA 14:40:44 2020-12-16 18:32:41 [INFO] [TRAIN] epoch=52, iter=19140/80000, loss=0.2453, lr=0.007819, batch_cost=0.8988, reader_cost=0.0027 | ETA 15:11:42 2020-12-16 18:32:50 [INFO] [TRAIN] epoch=52, iter=19150/80000, loss=0.2869, lr=0.007817, batch_cost=0.9188, reader_cost=0.0008 | ETA 15:31:46 2020-12-16 18:32:59 [INFO] [TRAIN] epoch=52, iter=19160/80000, loss=0.2129, lr=0.007816, batch_cost=0.8523, reader_cost=0.0002 | ETA 14:24:13 2020-12-16 18:33:07 [INFO] [TRAIN] epoch=52, iter=19170/80000, loss=0.2027, lr=0.007815, batch_cost=0.8210, reader_cost=0.0005 | ETA 13:52:18 2020-12-16 18:33:16 [INFO] [TRAIN] epoch=52, iter=19180/80000, loss=0.2172, lr=0.007814, batch_cost=0.8477, reader_cost=0.0054 | ETA 14:19:16 2020-12-16 18:33:23 [INFO] [TRAIN] epoch=52, iter=19190/80000, loss=0.1687, lr=0.007813, batch_cost=0.7781, reader_cost=0.0050 | ETA 13:08:34 2020-12-16 18:33:31 [INFO] [TRAIN] epoch=52, iter=19200/80000, loss=0.1981, lr=0.007812, batch_cost=0.7809, reader_cost=0.0014 | ETA 13:11:20 2020-12-16 18:33:39 [INFO] [TRAIN] epoch=52, iter=19210/80000, loss=0.2199, lr=0.007810, batch_cost=0.8247, reader_cost=0.0011 | ETA 13:55:34 2020-12-16 18:33:48 [INFO] [TRAIN] epoch=52, iter=19220/80000, loss=0.2062, lr=0.007809, batch_cost=0.8576, reader_cost=0.0024 | ETA 14:28:43 2020-12-16 18:33:57 [INFO] [TRAIN] epoch=52, iter=19230/80000, loss=0.2873, lr=0.007808, batch_cost=0.8516, reader_cost=0.0017 | ETA 14:22:33 2020-12-16 18:34:05 [INFO] [TRAIN] epoch=52, iter=19240/80000, loss=0.1953, lr=0.007807, batch_cost=0.8313, reader_cost=0.0002 | ETA 14:01:51 2020-12-16 18:34:14 [INFO] [TRAIN] epoch=52, iter=19250/80000, loss=0.2696, lr=0.007806, batch_cost=0.9109, reader_cost=0.0002 | ETA 15:22:14 2020-12-16 18:34:22 [INFO] [TRAIN] epoch=52, iter=19260/80000, loss=0.2555, lr=0.007805, batch_cost=0.7761, reader_cost=0.0046 | ETA 13:05:39 2020-12-16 18:34:30 [INFO] [TRAIN] epoch=52, iter=19270/80000, loss=0.2410, lr=0.007803, batch_cost=0.8168, reader_cost=0.0017 | ETA 13:46:46 2020-12-16 18:34:38 [INFO] [TRAIN] epoch=52, iter=19280/80000, loss=0.1910, lr=0.007802, batch_cost=0.8369, reader_cost=0.0002 | ETA 14:06:59 2020-12-16 18:34:47 [INFO] [TRAIN] epoch=52, iter=19290/80000, loss=0.2047, lr=0.007801, batch_cost=0.8259, reader_cost=0.0039 | ETA 13:55:37 2020-12-16 18:34:55 [INFO] [TRAIN] epoch=52, iter=19300/80000, loss=0.2892, lr=0.007800, batch_cost=0.8049, reader_cost=0.0016 | ETA 13:34:16 2020-12-16 18:35:04 [INFO] [TRAIN] epoch=52, iter=19310/80000, loss=0.1900, lr=0.007799, batch_cost=0.8870, reader_cost=0.0002 | ETA 14:57:13 2020-12-16 18:35:11 [INFO] [TRAIN] epoch=52, iter=19320/80000, loss=0.2694, lr=0.007798, batch_cost=0.7811, reader_cost=0.0041 | ETA 13:09:58 2020-12-16 18:35:19 [INFO] [TRAIN] epoch=52, iter=19330/80000, loss=0.2380, lr=0.007797, batch_cost=0.7824, reader_cost=0.0028 | ETA 13:11:06 2020-12-16 18:35:28 [INFO] [TRAIN] epoch=52, iter=19340/80000, loss=0.2768, lr=0.007795, batch_cost=0.8750, reader_cost=0.0020 | ETA 14:44:37 2020-12-16 18:35:36 [INFO] [TRAIN] epoch=53, iter=19350/80000, loss=0.2216, lr=0.007794, batch_cost=0.8572, reader_cost=0.0652 | ETA 14:26:28 2020-12-16 18:35:46 [INFO] [TRAIN] epoch=53, iter=19360/80000, loss=0.1684, lr=0.007793, batch_cost=0.9365, reader_cost=0.0019 | ETA 15:46:31 2020-12-16 18:35:54 [INFO] [TRAIN] epoch=53, iter=19370/80000, loss=0.3902, lr=0.007792, batch_cost=0.8621, reader_cost=0.0015 | ETA 14:31:06 2020-12-16 18:36:04 [INFO] [TRAIN] epoch=53, iter=19380/80000, loss=0.1779, lr=0.007791, batch_cost=0.9519, reader_cost=0.0037 | ETA 16:01:43 2020-12-16 18:36:11 [INFO] [TRAIN] epoch=53, iter=19390/80000, loss=0.1956, lr=0.007790, batch_cost=0.6825, reader_cost=0.0002 | ETA 11:29:27 2020-12-16 18:36:17 [INFO] [TRAIN] epoch=53, iter=19400/80000, loss=0.1990, lr=0.007788, batch_cost=0.5797, reader_cost=0.0003 | ETA 09:45:29 2020-12-16 18:36:22 [INFO] [TRAIN] epoch=53, iter=19410/80000, loss=0.2073, lr=0.007787, batch_cost=0.5531, reader_cost=0.0010 | ETA 09:18:33 2020-12-16 18:36:28 [INFO] [TRAIN] epoch=53, iter=19420/80000, loss=0.3352, lr=0.007786, batch_cost=0.5727, reader_cost=0.0003 | ETA 09:38:12 2020-12-16 18:36:34 [INFO] [TRAIN] epoch=53, iter=19430/80000, loss=0.1669, lr=0.007785, batch_cost=0.5715, reader_cost=0.0002 | ETA 09:36:53 2020-12-16 18:36:40 [INFO] [TRAIN] epoch=53, iter=19440/80000, loss=0.3021, lr=0.007784, batch_cost=0.6729, reader_cost=0.0016 | ETA 11:19:12 2020-12-16 18:36:49 [INFO] [TRAIN] epoch=53, iter=19450/80000, loss=0.2889, lr=0.007783, batch_cost=0.9069, reader_cost=0.0002 | ETA 15:15:11 2020-12-16 18:36:58 [INFO] [TRAIN] epoch=53, iter=19460/80000, loss=0.2034, lr=0.007782, batch_cost=0.8472, reader_cost=0.0010 | ETA 14:14:50 2020-12-16 18:37:07 [INFO] [TRAIN] epoch=53, iter=19470/80000, loss=0.2145, lr=0.007780, batch_cost=0.8993, reader_cost=0.0031 | ETA 15:07:13 2020-12-16 18:37:15 [INFO] [TRAIN] epoch=53, iter=19480/80000, loss=0.1708, lr=0.007779, batch_cost=0.8600, reader_cost=0.0001 | ETA 14:27:24 2020-12-16 18:37:25 [INFO] [TRAIN] epoch=53, iter=19490/80000, loss=0.1973, lr=0.007778, batch_cost=0.9109, reader_cost=0.0012 | ETA 15:18:41 2020-12-16 18:37:34 [INFO] [TRAIN] epoch=53, iter=19500/80000, loss=0.2421, lr=0.007777, batch_cost=0.9343, reader_cost=0.0002 | ETA 15:42:07 2020-12-16 18:37:43 [INFO] [TRAIN] epoch=53, iter=19510/80000, loss=0.2684, lr=0.007776, batch_cost=0.9283, reader_cost=0.0061 | ETA 15:35:49 2020-12-16 18:37:52 [INFO] [TRAIN] epoch=53, iter=19520/80000, loss=0.1909, lr=0.007775, batch_cost=0.9193, reader_cost=0.0028 | ETA 15:26:39 2020-12-16 18:38:01 [INFO] [TRAIN] epoch=53, iter=19530/80000, loss=0.2860, lr=0.007773, batch_cost=0.8594, reader_cost=0.0013 | ETA 14:26:09 2020-12-16 18:38:10 [INFO] [TRAIN] epoch=53, iter=19540/80000, loss=0.2658, lr=0.007772, batch_cost=0.9238, reader_cost=0.0033 | ETA 15:30:53 2020-12-16 18:38:19 [INFO] [TRAIN] epoch=53, iter=19550/80000, loss=0.1791, lr=0.007771, batch_cost=0.8757, reader_cost=0.0019 | ETA 14:42:16 2020-12-16 18:38:28 [INFO] [TRAIN] epoch=53, iter=19560/80000, loss=0.1802, lr=0.007770, batch_cost=0.9408, reader_cost=0.0010 | ETA 15:47:39 2020-12-16 18:38:37 [INFO] [TRAIN] epoch=53, iter=19570/80000, loss=0.2286, lr=0.007769, batch_cost=0.8911, reader_cost=0.0027 | ETA 14:57:29 2020-12-16 18:38:45 [INFO] [TRAIN] epoch=53, iter=19580/80000, loss=0.2898, lr=0.007768, batch_cost=0.7858, reader_cost=0.0004 | ETA 13:11:21 2020-12-16 18:38:55 [INFO] [TRAIN] epoch=53, iter=19590/80000, loss=0.2221, lr=0.007766, batch_cost=0.9973, reader_cost=0.0025 | ETA 16:44:03 2020-12-16 18:39:04 [INFO] [TRAIN] epoch=53, iter=19600/80000, loss=0.2579, lr=0.007765, batch_cost=0.8771, reader_cost=0.0035 | ETA 14:42:59 2020-12-16 18:39:13 [INFO] [TRAIN] epoch=53, iter=19610/80000, loss=0.1651, lr=0.007764, batch_cost=0.9445, reader_cost=0.0002 | ETA 15:50:36 2020-12-16 18:39:22 [INFO] [TRAIN] epoch=53, iter=19620/80000, loss=0.3426, lr=0.007763, batch_cost=0.8526, reader_cost=0.0002 | ETA 14:17:57 2020-12-16 18:39:31 [INFO] [TRAIN] epoch=53, iter=19630/80000, loss=0.1853, lr=0.007762, batch_cost=0.8983, reader_cost=0.0024 | ETA 15:03:52 2020-12-16 18:39:39 [INFO] [TRAIN] epoch=53, iter=19640/80000, loss=0.2793, lr=0.007761, batch_cost=0.8350, reader_cost=0.0002 | ETA 14:00:00 2020-12-16 18:39:48 [INFO] [TRAIN] epoch=53, iter=19650/80000, loss=0.2412, lr=0.007760, batch_cost=0.9191, reader_cost=0.0023 | ETA 15:24:29 2020-12-16 18:39:57 [INFO] [TRAIN] epoch=53, iter=19660/80000, loss=0.1759, lr=0.007758, batch_cost=0.8686, reader_cost=0.0015 | ETA 14:33:29 2020-12-16 18:40:05 [INFO] [TRAIN] epoch=53, iter=19670/80000, loss=0.2925, lr=0.007757, batch_cost=0.8253, reader_cost=0.0033 | ETA 13:49:47 2020-12-16 18:40:14 [INFO] [TRAIN] epoch=53, iter=19680/80000, loss=0.3081, lr=0.007756, batch_cost=0.8786, reader_cost=0.0013 | ETA 14:43:16 2020-12-16 18:40:23 [INFO] [TRAIN] epoch=53, iter=19690/80000, loss=0.3205, lr=0.007755, batch_cost=0.8621, reader_cost=0.0041 | ETA 14:26:31 2020-12-16 18:40:31 [INFO] [TRAIN] epoch=53, iter=19700/80000, loss=0.2529, lr=0.007754, batch_cost=0.8664, reader_cost=0.0021 | ETA 14:30:43 2020-12-16 18:40:40 [INFO] [TRAIN] epoch=53, iter=19710/80000, loss=0.2079, lr=0.007753, batch_cost=0.8102, reader_cost=0.0056 | ETA 13:34:08 2020-12-16 18:40:49 [INFO] [TRAIN] epoch=54, iter=19720/80000, loss=0.2064, lr=0.007751, batch_cost=0.8946, reader_cost=0.1062 | ETA 14:58:48 2020-12-16 18:40:58 [INFO] [TRAIN] epoch=54, iter=19730/80000, loss=0.1767, lr=0.007750, batch_cost=0.9271, reader_cost=0.0006 | ETA 15:31:17 2020-12-16 18:41:07 [INFO] [TRAIN] epoch=54, iter=19740/80000, loss=0.2027, lr=0.007749, batch_cost=0.8865, reader_cost=0.0005 | ETA 14:50:21 2020-12-16 18:41:15 [INFO] [TRAIN] epoch=54, iter=19750/80000, loss=0.2004, lr=0.007748, batch_cost=0.8034, reader_cost=0.0002 | ETA 13:26:42 2020-12-16 18:41:24 [INFO] [TRAIN] epoch=54, iter=19760/80000, loss=0.2096, lr=0.007747, batch_cost=0.8805, reader_cost=0.0037 | ETA 14:44:04 2020-12-16 18:41:33 [INFO] [TRAIN] epoch=54, iter=19770/80000, loss=0.3809, lr=0.007746, batch_cost=0.9084, reader_cost=0.0002 | ETA 15:11:52 2020-12-16 18:41:41 [INFO] [TRAIN] epoch=54, iter=19780/80000, loss=0.2484, lr=0.007744, batch_cost=0.8691, reader_cost=0.0025 | ETA 14:32:19 2020-12-16 18:41:49 [INFO] [TRAIN] epoch=54, iter=19790/80000, loss=0.2325, lr=0.007743, batch_cost=0.8088, reader_cost=0.0002 | ETA 13:31:38 2020-12-16 18:41:58 [INFO] [TRAIN] epoch=54, iter=19800/80000, loss=0.2863, lr=0.007742, batch_cost=0.8413, reader_cost=0.0017 | ETA 14:04:07 2020-12-16 18:42:06 [INFO] [TRAIN] epoch=54, iter=19810/80000, loss=0.1925, lr=0.007741, batch_cost=0.8465, reader_cost=0.0868 | ETA 14:09:13 2020-12-16 18:42:14 [INFO] [TRAIN] epoch=54, iter=19820/80000, loss=0.4978, lr=0.007740, batch_cost=0.7720, reader_cost=0.0064 | ETA 12:54:20 2020-12-16 18:42:24 [INFO] [TRAIN] epoch=54, iter=19830/80000, loss=0.2651, lr=0.007739, batch_cost=0.9643, reader_cost=0.0004 | ETA 16:07:01 2020-12-16 18:42:32 [INFO] [TRAIN] epoch=54, iter=19840/80000, loss=0.2080, lr=0.007738, batch_cost=0.8733, reader_cost=0.0057 | ETA 14:35:38 2020-12-16 18:42:41 [INFO] [TRAIN] epoch=54, iter=19850/80000, loss=0.1933, lr=0.007736, batch_cost=0.9040, reader_cost=0.0001 | ETA 15:06:16 2020-12-16 18:42:49 [INFO] [TRAIN] epoch=54, iter=19860/80000, loss=0.2742, lr=0.007735, batch_cost=0.7211, reader_cost=0.0034 | ETA 12:02:45 2020-12-16 18:42:54 [INFO] [TRAIN] epoch=54, iter=19870/80000, loss=0.2004, lr=0.007734, batch_cost=0.5609, reader_cost=0.0001 | ETA 09:22:08 2020-12-16 18:43:00 [INFO] [TRAIN] epoch=54, iter=19880/80000, loss=0.1801, lr=0.007733, batch_cost=0.5995, reader_cost=0.0028 | ETA 10:00:41 2020-12-16 18:43:06 [INFO] [TRAIN] epoch=54, iter=19890/80000, loss=0.2157, lr=0.007732, batch_cost=0.5355, reader_cost=0.0001 | ETA 08:56:27 2020-12-16 18:43:11 [INFO] [TRAIN] epoch=54, iter=19900/80000, loss=0.1987, lr=0.007731, batch_cost=0.5346, reader_cost=0.0001 | ETA 08:55:28 2020-12-16 18:43:17 [INFO] [TRAIN] epoch=54, iter=19910/80000, loss=0.2327, lr=0.007729, batch_cost=0.5592, reader_cost=0.0011 | ETA 09:20:03 2020-12-16 18:43:24 [INFO] [TRAIN] epoch=54, iter=19920/80000, loss=0.2399, lr=0.007728, batch_cost=0.7327, reader_cost=0.0024 | ETA 12:13:40 2020-12-16 18:43:31 [INFO] [TRAIN] epoch=54, iter=19930/80000, loss=0.2095, lr=0.007727, batch_cost=0.7418, reader_cost=0.0002 | ETA 12:22:41 2020-12-16 18:43:40 [INFO] [TRAIN] epoch=54, iter=19940/80000, loss=0.1943, lr=0.007726, batch_cost=0.8421, reader_cost=0.0001 | ETA 14:02:55 2020-12-16 18:43:47 [INFO] [TRAIN] epoch=54, iter=19950/80000, loss=0.2304, lr=0.007725, batch_cost=0.7647, reader_cost=0.0010 | ETA 12:45:18 2020-12-16 18:43:55 [INFO] [TRAIN] epoch=54, iter=19960/80000, loss=0.2381, lr=0.007724, batch_cost=0.7292, reader_cost=0.0010 | ETA 12:09:43 2020-12-16 18:44:02 [INFO] [TRAIN] epoch=54, iter=19970/80000, loss=0.2078, lr=0.007722, batch_cost=0.7746, reader_cost=0.0010 | ETA 12:54:58 2020-12-16 18:44:10 [INFO] [TRAIN] epoch=54, iter=19980/80000, loss=0.3658, lr=0.007721, batch_cost=0.7677, reader_cost=0.0001 | ETA 12:47:56 2020-12-16 18:44:18 [INFO] [TRAIN] epoch=54, iter=19990/80000, loss=0.2029, lr=0.007720, batch_cost=0.7759, reader_cost=0.0016 | ETA 12:56:00 2020-12-16 18:44:27 [INFO] [TRAIN] epoch=54, iter=20000/80000, loss=0.1804, lr=0.007719, batch_cost=0.9013, reader_cost=0.0002 | ETA 15:01:16 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 18:44:27 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 18:45:09 [INFO] [EVAL] #Images=500 mIoU=0.7291 Acc=0.9515 Kappa=0.9368 2020-12-16 18:45:09 [INFO] [EVAL] Class IoU: [0.9776 0.8239 0.9039 0.2974 0.5316 0.538 0.6662 0.735 0.9125 0.5111 0.942 0.7856 0.5696 0.9392 0.7934 0.8378 0.7341 0.6016 0.752 ] 2020-12-16 18:45:09 [INFO] [EVAL] Class Acc: [0.9888 0.905 0.9271 0.7886 0.7917 0.7994 0.834 0.9074 0.9449 0.9158 0.973 0.8826 0.7008 0.9674 0.934 0.9216 0.8755 0.7535 0.8436] 2020-12-16 18:45:13 [INFO] [EVAL] The model with the best validation mIoU (0.7371) was saved at iter 18000. 2020-12-16 18:45:21 [INFO] [TRAIN] epoch=54, iter=20010/80000, loss=0.2880, lr=0.007718, batch_cost=0.7632, reader_cost=0.0002 | ETA 12:43:06 2020-12-16 18:45:29 [INFO] [TRAIN] epoch=54, iter=20020/80000, loss=0.3273, lr=0.007717, batch_cost=0.8089, reader_cost=0.0018 | ETA 13:28:36 2020-12-16 18:45:37 [INFO] [TRAIN] epoch=54, iter=20030/80000, loss=0.2351, lr=0.007716, batch_cost=0.8719, reader_cost=0.0009 | ETA 14:31:26 2020-12-16 18:45:46 [INFO] [TRAIN] epoch=54, iter=20040/80000, loss=0.1811, lr=0.007714, batch_cost=0.8560, reader_cost=0.0031 | ETA 14:15:27 2020-12-16 18:45:54 [INFO] [TRAIN] epoch=54, iter=20050/80000, loss=0.2573, lr=0.007713, batch_cost=0.8317, reader_cost=0.0022 | ETA 13:50:58 2020-12-16 18:46:02 [INFO] [TRAIN] epoch=54, iter=20060/80000, loss=0.2327, lr=0.007712, batch_cost=0.7659, reader_cost=0.0002 | ETA 12:45:08 2020-12-16 18:46:10 [INFO] [TRAIN] epoch=54, iter=20070/80000, loss=0.2043, lr=0.007711, batch_cost=0.7644, reader_cost=0.0048 | ETA 12:43:27 2020-12-16 18:46:18 [INFO] [TRAIN] epoch=54, iter=20080/80000, loss=0.2592, lr=0.007710, batch_cost=0.8029, reader_cost=0.0030 | ETA 13:21:51 2020-12-16 18:46:25 [INFO] [TRAIN] epoch=55, iter=20090/80000, loss=0.2587, lr=0.007709, batch_cost=0.7774, reader_cost=0.0579 | ETA 12:56:13 2020-12-16 18:46:34 [INFO] [TRAIN] epoch=55, iter=20100/80000, loss=0.2997, lr=0.007707, batch_cost=0.9038, reader_cost=0.0003 | ETA 15:02:19 2020-12-16 18:46:43 [INFO] [TRAIN] epoch=55, iter=20110/80000, loss=0.1546, lr=0.007706, batch_cost=0.8174, reader_cost=0.0025 | ETA 13:35:54 2020-12-16 18:46:51 [INFO] [TRAIN] epoch=55, iter=20120/80000, loss=0.1743, lr=0.007705, batch_cost=0.8637, reader_cost=0.0025 | ETA 14:21:57 2020-12-16 18:46:59 [INFO] [TRAIN] epoch=55, iter=20130/80000, loss=0.2107, lr=0.007704, batch_cost=0.7975, reader_cost=0.0014 | ETA 13:15:43 2020-12-16 18:47:07 [INFO] [TRAIN] epoch=55, iter=20140/80000, loss=0.1950, lr=0.007703, batch_cost=0.8243, reader_cost=0.0023 | ETA 13:42:23 2020-12-16 18:47:15 [INFO] [TRAIN] epoch=55, iter=20150/80000, loss=0.1986, lr=0.007702, batch_cost=0.7149, reader_cost=0.0004 | ETA 11:53:06 2020-12-16 18:47:23 [INFO] [TRAIN] epoch=55, iter=20160/80000, loss=0.1706, lr=0.007700, batch_cost=0.8051, reader_cost=0.0046 | ETA 13:22:57 2020-12-16 18:47:30 [INFO] [TRAIN] epoch=55, iter=20170/80000, loss=0.2206, lr=0.007699, batch_cost=0.7702, reader_cost=0.0002 | ETA 12:48:00 2020-12-16 18:47:37 [INFO] [TRAIN] epoch=55, iter=20180/80000, loss=0.1991, lr=0.007698, batch_cost=0.6692, reader_cost=0.0020 | ETA 11:07:12 2020-12-16 18:47:43 [INFO] [TRAIN] epoch=55, iter=20190/80000, loss=0.2085, lr=0.007697, batch_cost=0.5437, reader_cost=0.0001 | ETA 09:02:01 2020-12-16 18:47:48 [INFO] [TRAIN] epoch=55, iter=20200/80000, loss=0.1583, lr=0.007696, batch_cost=0.5928, reader_cost=0.0001 | ETA 09:50:51 2020-12-16 18:47:54 [INFO] [TRAIN] epoch=55, iter=20210/80000, loss=0.3333, lr=0.007695, batch_cost=0.5551, reader_cost=0.0001 | ETA 09:13:11 2020-12-16 18:48:00 [INFO] [TRAIN] epoch=55, iter=20220/80000, loss=0.2194, lr=0.007694, batch_cost=0.5651, reader_cost=0.0005 | ETA 09:23:01 2020-12-16 18:48:05 [INFO] [TRAIN] epoch=55, iter=20230/80000, loss=0.1915, lr=0.007692, batch_cost=0.5591, reader_cost=0.0004 | ETA 09:17:00 2020-12-16 18:48:13 [INFO] [TRAIN] epoch=55, iter=20240/80000, loss=0.2435, lr=0.007691, batch_cost=0.7551, reader_cost=0.0020 | ETA 12:32:01 2020-12-16 18:48:21 [INFO] [TRAIN] epoch=55, iter=20250/80000, loss=0.1579, lr=0.007690, batch_cost=0.7956, reader_cost=0.0008 | ETA 13:12:18 2020-12-16 18:48:29 [INFO] [TRAIN] epoch=55, iter=20260/80000, loss=0.1708, lr=0.007689, batch_cost=0.8300, reader_cost=0.0006 | ETA 13:46:24 2020-12-16 18:48:37 [INFO] [TRAIN] epoch=55, iter=20270/80000, loss=0.1839, lr=0.007688, batch_cost=0.7791, reader_cost=0.0024 | ETA 12:55:34 2020-12-16 18:48:45 [INFO] [TRAIN] epoch=55, iter=20280/80000, loss=0.1835, lr=0.007687, batch_cost=0.7642, reader_cost=0.0012 | ETA 12:40:35 2020-12-16 18:48:52 [INFO] [TRAIN] epoch=55, iter=20290/80000, loss=0.2376, lr=0.007685, batch_cost=0.7845, reader_cost=0.0001 | ETA 13:00:40 2020-12-16 18:49:01 [INFO] [TRAIN] epoch=55, iter=20300/80000, loss=0.2537, lr=0.007684, batch_cost=0.8383, reader_cost=0.0025 | ETA 13:54:07 2020-12-16 18:49:08 [INFO] [TRAIN] epoch=55, iter=20310/80000, loss=0.2139, lr=0.007683, batch_cost=0.7156, reader_cost=0.0007 | ETA 11:51:56 2020-12-16 18:49:13 [INFO] [TRAIN] epoch=55, iter=20320/80000, loss=0.2163, lr=0.007682, batch_cost=0.5452, reader_cost=0.0001 | ETA 09:02:16 2020-12-16 18:49:19 [INFO] [TRAIN] epoch=55, iter=20330/80000, loss=0.2048, lr=0.007681, batch_cost=0.5686, reader_cost=0.0001 | ETA 09:25:28 2020-12-16 18:49:25 [INFO] [TRAIN] epoch=55, iter=20340/80000, loss=0.2056, lr=0.007680, batch_cost=0.5488, reader_cost=0.0002 | ETA 09:05:40 2020-12-16 18:49:30 [INFO] [TRAIN] epoch=55, iter=20350/80000, loss=0.2258, lr=0.007678, batch_cost=0.5465, reader_cost=0.0001 | ETA 09:03:18 2020-12-16 18:49:35 [INFO] [TRAIN] epoch=55, iter=20360/80000, loss=0.1850, lr=0.007677, batch_cost=0.5399, reader_cost=0.0001 | ETA 08:56:40 2020-12-16 18:49:41 [INFO] [TRAIN] epoch=55, iter=20370/80000, loss=0.2491, lr=0.007676, batch_cost=0.5351, reader_cost=0.0001 | ETA 08:51:50 2020-12-16 18:49:47 [INFO] [TRAIN] epoch=55, iter=20380/80000, loss=0.2376, lr=0.007675, batch_cost=0.5817, reader_cost=0.0002 | ETA 09:37:58 2020-12-16 18:49:54 [INFO] [TRAIN] epoch=55, iter=20390/80000, loss=0.2138, lr=0.007674, batch_cost=0.7914, reader_cost=0.0001 | ETA 13:06:17 2020-12-16 18:50:02 [INFO] [TRAIN] epoch=55, iter=20400/80000, loss=0.2015, lr=0.007673, batch_cost=0.7932, reader_cost=0.0002 | ETA 13:07:52 2020-12-16 18:50:10 [INFO] [TRAIN] epoch=55, iter=20410/80000, loss=0.3000, lr=0.007672, batch_cost=0.7647, reader_cost=0.0014 | ETA 12:39:26 2020-12-16 18:50:18 [INFO] [TRAIN] epoch=55, iter=20420/80000, loss=0.2496, lr=0.007670, batch_cost=0.7636, reader_cost=0.0022 | ETA 12:38:15 2020-12-16 18:50:26 [INFO] [TRAIN] epoch=55, iter=20430/80000, loss=0.2137, lr=0.007669, batch_cost=0.8746, reader_cost=0.0003 | ETA 14:28:17 2020-12-16 18:50:35 [INFO] [TRAIN] epoch=55, iter=20440/80000, loss=0.1907, lr=0.007668, batch_cost=0.8179, reader_cost=0.0033 | ETA 13:31:55 2020-12-16 18:50:43 [INFO] [TRAIN] epoch=55, iter=20450/80000, loss=0.1687, lr=0.007667, batch_cost=0.8486, reader_cost=0.0024 | ETA 14:02:12 2020-12-16 18:50:49 [INFO] [TRAIN] epoch=55, iter=20460/80000, loss=0.2657, lr=0.007666, batch_cost=0.6233, reader_cost=0.0002 | ETA 10:18:28 2020-12-16 18:50:58 [INFO] [TRAIN] epoch=56, iter=20470/80000, loss=0.1836, lr=0.007665, batch_cost=0.9032, reader_cost=0.0579 | ETA 14:56:05 2020-12-16 18:51:08 [INFO] [TRAIN] epoch=56, iter=20480/80000, loss=0.2338, lr=0.007663, batch_cost=0.9961, reader_cost=0.0008 | ETA 16:28:07 2020-12-16 18:51:16 [INFO] [TRAIN] epoch=56, iter=20490/80000, loss=0.1978, lr=0.007662, batch_cost=0.7902, reader_cost=0.0007 | ETA 13:03:45 2020-12-16 18:51:24 [INFO] [TRAIN] epoch=56, iter=20500/80000, loss=0.2044, lr=0.007661, batch_cost=0.7352, reader_cost=0.0011 | ETA 12:09:05 2020-12-16 18:51:32 [INFO] [TRAIN] epoch=56, iter=20510/80000, loss=0.2235, lr=0.007660, batch_cost=0.8035, reader_cost=0.0001 | ETA 13:16:39 2020-12-16 18:51:40 [INFO] [TRAIN] epoch=56, iter=20520/80000, loss=0.1641, lr=0.007659, batch_cost=0.8639, reader_cost=0.0019 | ETA 14:16:24 2020-12-16 18:51:48 [INFO] [TRAIN] epoch=56, iter=20530/80000, loss=0.1744, lr=0.007658, batch_cost=0.7423, reader_cost=0.0001 | ETA 12:15:42 2020-12-16 18:51:55 [INFO] [TRAIN] epoch=56, iter=20540/80000, loss=0.2613, lr=0.007656, batch_cost=0.7383, reader_cost=0.0002 | ETA 12:11:38 2020-12-16 18:52:03 [INFO] [TRAIN] epoch=56, iter=20550/80000, loss=0.2207, lr=0.007655, batch_cost=0.8029, reader_cost=0.0003 | ETA 13:15:30 2020-12-16 18:52:12 [INFO] [TRAIN] epoch=56, iter=20560/80000, loss=0.2080, lr=0.007654, batch_cost=0.9035, reader_cost=0.0024 | ETA 14:55:05 2020-12-16 18:52:21 [INFO] [TRAIN] epoch=56, iter=20570/80000, loss=0.2477, lr=0.007653, batch_cost=0.8487, reader_cost=0.0023 | ETA 14:00:40 2020-12-16 18:52:29 [INFO] [TRAIN] epoch=56, iter=20580/80000, loss=0.2427, lr=0.007652, batch_cost=0.8777, reader_cost=0.0007 | ETA 14:29:13 2020-12-16 18:52:38 [INFO] [TRAIN] epoch=56, iter=20590/80000, loss=0.2102, lr=0.007651, batch_cost=0.8365, reader_cost=0.0020 | ETA 13:48:16 2020-12-16 18:52:46 [INFO] [TRAIN] epoch=56, iter=20600/80000, loss=0.2204, lr=0.007650, batch_cost=0.8475, reader_cost=0.0013 | ETA 13:58:59 2020-12-16 18:52:54 [INFO] [TRAIN] epoch=56, iter=20610/80000, loss=0.2374, lr=0.007648, batch_cost=0.7671, reader_cost=0.0002 | ETA 12:39:19 2020-12-16 18:53:02 [INFO] [TRAIN] epoch=56, iter=20620/80000, loss=0.2227, lr=0.007647, batch_cost=0.7805, reader_cost=0.0024 | ETA 12:52:28 2020-12-16 18:53:08 [INFO] [TRAIN] epoch=56, iter=20630/80000, loss=0.2435, lr=0.007646, batch_cost=0.5913, reader_cost=0.0017 | ETA 09:45:06 2020-12-16 18:53:14 [INFO] [TRAIN] epoch=56, iter=20640/80000, loss=0.2553, lr=0.007645, batch_cost=0.5843, reader_cost=0.0003 | ETA 09:38:04 2020-12-16 18:53:19 [INFO] [TRAIN] epoch=56, iter=20650/80000, loss=0.2042, lr=0.007644, batch_cost=0.5455, reader_cost=0.0001 | ETA 08:59:38 2020-12-16 18:53:24 [INFO] [TRAIN] epoch=56, iter=20660/80000, loss=0.2399, lr=0.007643, batch_cost=0.5467, reader_cost=0.0001 | ETA 09:00:40 2020-12-16 18:53:30 [INFO] [TRAIN] epoch=56, iter=20670/80000, loss=0.2276, lr=0.007641, batch_cost=0.5722, reader_cost=0.0003 | ETA 09:25:48 2020-12-16 18:53:38 [INFO] [TRAIN] epoch=56, iter=20680/80000, loss=0.2268, lr=0.007640, batch_cost=0.7842, reader_cost=0.0028 | ETA 12:55:20 2020-12-16 18:53:46 [INFO] [TRAIN] epoch=56, iter=20690/80000, loss=0.1944, lr=0.007639, batch_cost=0.8114, reader_cost=0.0027 | ETA 13:22:02 2020-12-16 18:53:55 [INFO] [TRAIN] epoch=56, iter=20700/80000, loss=0.1677, lr=0.007638, batch_cost=0.9234, reader_cost=0.0007 | ETA 15:12:39 2020-12-16 18:54:04 [INFO] [TRAIN] epoch=56, iter=20710/80000, loss=0.2575, lr=0.007637, batch_cost=0.8558, reader_cost=0.0015 | ETA 14:05:38 2020-12-16 18:54:11 [INFO] [TRAIN] epoch=56, iter=20720/80000, loss=0.2343, lr=0.007636, batch_cost=0.7524, reader_cost=0.0026 | ETA 12:23:24 2020-12-16 18:54:21 [INFO] [TRAIN] epoch=56, iter=20730/80000, loss=0.1654, lr=0.007634, batch_cost=0.9023, reader_cost=0.0060 | ETA 14:51:18 2020-12-16 18:54:29 [INFO] [TRAIN] epoch=56, iter=20740/80000, loss=0.2067, lr=0.007633, batch_cost=0.8383, reader_cost=0.0018 | ETA 13:47:59 2020-12-16 18:54:37 [INFO] [TRAIN] epoch=56, iter=20750/80000, loss=0.3043, lr=0.007632, batch_cost=0.8377, reader_cost=0.0024 | ETA 13:47:14 2020-12-16 18:54:45 [INFO] [TRAIN] epoch=56, iter=20760/80000, loss=0.2407, lr=0.007631, batch_cost=0.7886, reader_cost=0.0017 | ETA 12:58:34 2020-12-16 18:54:54 [INFO] [TRAIN] epoch=56, iter=20770/80000, loss=0.2574, lr=0.007630, batch_cost=0.8354, reader_cost=0.0009 | ETA 13:44:42 2020-12-16 18:55:01 [INFO] [TRAIN] epoch=56, iter=20780/80000, loss=0.1718, lr=0.007629, batch_cost=0.7574, reader_cost=0.0006 | ETA 12:27:34 2020-12-16 18:55:09 [INFO] [TRAIN] epoch=56, iter=20790/80000, loss=0.1786, lr=0.007627, batch_cost=0.8236, reader_cost=0.0002 | ETA 13:32:43 2020-12-16 18:55:18 [INFO] [TRAIN] epoch=56, iter=20800/80000, loss=0.2941, lr=0.007626, batch_cost=0.8906, reader_cost=0.0002 | ETA 14:38:43 2020-12-16 18:55:27 [INFO] [TRAIN] epoch=56, iter=20810/80000, loss=0.2505, lr=0.007625, batch_cost=0.9124, reader_cost=0.0032 | ETA 15:00:03 2020-12-16 18:55:36 [INFO] [TRAIN] epoch=56, iter=20820/80000, loss=0.2636, lr=0.007624, batch_cost=0.8399, reader_cost=0.0018 | ETA 13:48:27 2020-12-16 18:55:43 [INFO] [TRAIN] epoch=56, iter=20830/80000, loss=0.2076, lr=0.007623, batch_cost=0.7338, reader_cost=0.0033 | ETA 12:03:37 2020-12-16 18:55:52 [INFO] [TRAIN] epoch=57, iter=20840/80000, loss=0.2991, lr=0.007622, batch_cost=0.8895, reader_cost=0.0703 | ETA 14:37:04 2020-12-16 18:56:00 [INFO] [TRAIN] epoch=57, iter=20850/80000, loss=0.1893, lr=0.007621, batch_cost=0.8246, reader_cost=0.0003 | ETA 13:32:54 2020-12-16 18:56:09 [INFO] [TRAIN] epoch=57, iter=20860/80000, loss=0.2463, lr=0.007619, batch_cost=0.8387, reader_cost=0.0001 | ETA 13:46:38 2020-12-16 18:56:17 [INFO] [TRAIN] epoch=57, iter=20870/80000, loss=0.2427, lr=0.007618, batch_cost=0.8706, reader_cost=0.0011 | ETA 14:17:57 2020-12-16 18:56:26 [INFO] [TRAIN] epoch=57, iter=20880/80000, loss=0.1641, lr=0.007617, batch_cost=0.8697, reader_cost=0.0010 | ETA 14:16:56 2020-12-16 18:56:35 [INFO] [TRAIN] epoch=57, iter=20890/80000, loss=0.2229, lr=0.007616, batch_cost=0.8507, reader_cost=0.0004 | ETA 13:58:07 2020-12-16 18:56:43 [INFO] [TRAIN] epoch=57, iter=20900/80000, loss=0.1792, lr=0.007615, batch_cost=0.8458, reader_cost=0.0002 | ETA 13:53:09 2020-12-16 18:56:51 [INFO] [TRAIN] epoch=57, iter=20910/80000, loss=0.3988, lr=0.007614, batch_cost=0.8352, reader_cost=0.0002 | ETA 13:42:34 2020-12-16 18:57:00 [INFO] [TRAIN] epoch=57, iter=20920/80000, loss=0.2842, lr=0.007612, batch_cost=0.8901, reader_cost=0.0036 | ETA 14:36:26 2020-12-16 18:57:09 [INFO] [TRAIN] epoch=57, iter=20930/80000, loss=0.3690, lr=0.007611, batch_cost=0.8363, reader_cost=0.0014 | ETA 13:43:18 2020-12-16 18:57:16 [INFO] [TRAIN] epoch=57, iter=20940/80000, loss=0.2359, lr=0.007610, batch_cost=0.7818, reader_cost=0.0002 | ETA 12:49:34 2020-12-16 18:57:25 [INFO] [TRAIN] epoch=57, iter=20950/80000, loss=0.2468, lr=0.007609, batch_cost=0.8908, reader_cost=0.0010 | ETA 14:36:41 2020-12-16 18:57:33 [INFO] [TRAIN] epoch=57, iter=20960/80000, loss=0.2304, lr=0.007608, batch_cost=0.7894, reader_cost=0.0001 | ETA 12:56:46 2020-12-16 18:57:42 [INFO] [TRAIN] epoch=57, iter=20970/80000, loss=0.2866, lr=0.007607, batch_cost=0.8971, reader_cost=0.0017 | ETA 14:42:36 2020-12-16 18:57:51 [INFO] [TRAIN] epoch=57, iter=20980/80000, loss=0.1643, lr=0.007605, batch_cost=0.8664, reader_cost=0.0008 | ETA 14:12:12 2020-12-16 18:58:00 [INFO] [TRAIN] epoch=57, iter=20990/80000, loss=0.1472, lr=0.007604, batch_cost=0.8767, reader_cost=0.0023 | ETA 14:22:13 2020-12-16 18:58:09 [INFO] [TRAIN] epoch=57, iter=21000/80000, loss=0.2419, lr=0.007603, batch_cost=0.8889, reader_cost=0.0002 | ETA 14:34:02 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 18:58:09 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 18:58:51 [INFO] [EVAL] #Images=500 mIoU=0.7381 Acc=0.9528 Kappa=0.9386 2020-12-16 18:58:51 [INFO] [EVAL] Class IoU: [0.9774 0.8193 0.9044 0.3269 0.5675 0.547 0.6753 0.7449 0.9176 0.6215 0.9365 0.7922 0.595 0.9422 0.779 0.8314 0.67 0.62 0.7555] 2020-12-16 18:58:51 [INFO] [EVAL] Class Acc: [0.9862 0.9202 0.9292 0.8038 0.805 0.7889 0.8107 0.8952 0.9546 0.8805 0.9615 0.8811 0.7449 0.9697 0.8613 0.9117 0.8375 0.779 0.8614] 2020-12-16 18:58:57 [INFO] [EVAL] The model with the best validation mIoU (0.7381) was saved at iter 21000. 2020-12-16 18:59:03 [INFO] [TRAIN] epoch=57, iter=21010/80000, loss=0.1775, lr=0.007602, batch_cost=0.5517, reader_cost=0.0001 | ETA 09:02:25 2020-12-16 18:59:09 [INFO] [TRAIN] epoch=57, iter=21020/80000, loss=0.2470, lr=0.007601, batch_cost=0.6183, reader_cost=0.0004 | ETA 10:07:49 2020-12-16 18:59:17 [INFO] [TRAIN] epoch=57, iter=21030/80000, loss=0.5205, lr=0.007600, batch_cost=0.8053, reader_cost=0.0022 | ETA 13:11:25 2020-12-16 18:59:24 [INFO] [TRAIN] epoch=57, iter=21040/80000, loss=0.3212, lr=0.007598, batch_cost=0.7403, reader_cost=0.0012 | ETA 12:07:26 2020-12-16 18:59:32 [INFO] [TRAIN] epoch=57, iter=21050/80000, loss=0.2331, lr=0.007597, batch_cost=0.7536, reader_cost=0.0008 | ETA 12:20:27 2020-12-16 18:59:40 [INFO] [TRAIN] epoch=57, iter=21060/80000, loss=0.2519, lr=0.007596, batch_cost=0.7744, reader_cost=0.0002 | ETA 12:40:43 2020-12-16 18:59:48 [INFO] [TRAIN] epoch=57, iter=21070/80000, loss=0.2165, lr=0.007595, batch_cost=0.7804, reader_cost=0.0012 | ETA 12:46:27 2020-12-16 18:59:55 [INFO] [TRAIN] epoch=57, iter=21080/80000, loss=0.2164, lr=0.007594, batch_cost=0.7704, reader_cost=0.0014 | ETA 12:36:33 2020-12-16 19:00:03 [INFO] [TRAIN] epoch=57, iter=21090/80000, loss=0.1725, lr=0.007593, batch_cost=0.8001, reader_cost=0.0025 | ETA 13:05:35 2020-12-16 19:00:11 [INFO] [TRAIN] epoch=57, iter=21100/80000, loss=0.2131, lr=0.007592, batch_cost=0.8191, reader_cost=0.0018 | ETA 13:24:06 2020-12-16 19:00:19 [INFO] [TRAIN] epoch=57, iter=21110/80000, loss=0.3559, lr=0.007590, batch_cost=0.7234, reader_cost=0.0008 | ETA 11:50:03 2020-12-16 19:00:26 [INFO] [TRAIN] epoch=57, iter=21120/80000, loss=0.2025, lr=0.007589, batch_cost=0.7386, reader_cost=0.0053 | ETA 12:04:49 2020-12-16 19:00:34 [INFO] [TRAIN] epoch=57, iter=21130/80000, loss=0.2986, lr=0.007588, batch_cost=0.8126, reader_cost=0.0026 | ETA 13:17:16 2020-12-16 19:00:42 [INFO] [TRAIN] epoch=57, iter=21140/80000, loss=0.2098, lr=0.007587, batch_cost=0.7326, reader_cost=0.0021 | ETA 11:58:41 2020-12-16 19:00:48 [INFO] [TRAIN] epoch=57, iter=21150/80000, loss=0.3043, lr=0.007586, batch_cost=0.6732, reader_cost=0.0008 | ETA 11:00:20 2020-12-16 19:00:57 [INFO] [TRAIN] epoch=57, iter=21160/80000, loss=0.1983, lr=0.007585, batch_cost=0.8623, reader_cost=0.0001 | ETA 14:05:35 2020-12-16 19:01:06 [INFO] [TRAIN] epoch=57, iter=21170/80000, loss=0.2130, lr=0.007583, batch_cost=0.8618, reader_cost=0.0009 | ETA 14:04:58 2020-12-16 19:01:13 [INFO] [TRAIN] epoch=57, iter=21180/80000, loss=0.2807, lr=0.007582, batch_cost=0.7242, reader_cost=0.0019 | ETA 11:49:56 2020-12-16 19:01:20 [INFO] [TRAIN] epoch=57, iter=21190/80000, loss=0.1641, lr=0.007581, batch_cost=0.7522, reader_cost=0.0073 | ETA 12:17:16 2020-12-16 19:01:28 [INFO] [TRAIN] epoch=57, iter=21200/80000, loss=0.2220, lr=0.007580, batch_cost=0.7745, reader_cost=0.0019 | ETA 12:38:59 2020-12-16 19:01:36 [INFO] [TRAIN] epoch=58, iter=21210/80000, loss=0.1724, lr=0.007579, batch_cost=0.8178, reader_cost=0.0607 | ETA 13:21:17 2020-12-16 19:01:45 [INFO] [TRAIN] epoch=58, iter=21220/80000, loss=0.2991, lr=0.007578, batch_cost=0.8650, reader_cost=0.0018 | ETA 14:07:24 2020-12-16 19:01:53 [INFO] [TRAIN] epoch=58, iter=21230/80000, loss=0.2115, lr=0.007576, batch_cost=0.7990, reader_cost=0.0007 | ETA 13:02:37 2020-12-16 19:02:01 [INFO] [TRAIN] epoch=58, iter=21240/80000, loss=0.1902, lr=0.007575, batch_cost=0.7950, reader_cost=0.0019 | ETA 12:58:36 2020-12-16 19:02:08 [INFO] [TRAIN] epoch=58, iter=21250/80000, loss=0.3217, lr=0.007574, batch_cost=0.7350, reader_cost=0.0007 | ETA 11:59:39 2020-12-16 19:02:16 [INFO] [TRAIN] epoch=58, iter=21260/80000, loss=0.2947, lr=0.007573, batch_cost=0.8081, reader_cost=0.0002 | ETA 13:11:09 2020-12-16 19:02:24 [INFO] [TRAIN] epoch=58, iter=21270/80000, loss=0.2766, lr=0.007572, batch_cost=0.7969, reader_cost=0.0014 | ETA 13:00:01 2020-12-16 19:02:31 [INFO] [TRAIN] epoch=58, iter=21280/80000, loss=0.1665, lr=0.007571, batch_cost=0.7236, reader_cost=0.0005 | ETA 11:48:07 2020-12-16 19:02:39 [INFO] [TRAIN] epoch=58, iter=21290/80000, loss=0.1963, lr=0.007569, batch_cost=0.7817, reader_cost=0.0036 | ETA 12:44:54 2020-12-16 19:02:48 [INFO] [TRAIN] epoch=58, iter=21300/80000, loss=0.2372, lr=0.007568, batch_cost=0.8439, reader_cost=0.0001 | ETA 13:45:38 2020-12-16 19:02:56 [INFO] [TRAIN] epoch=58, iter=21310/80000, loss=0.2458, lr=0.007567, batch_cost=0.7854, reader_cost=0.0001 | ETA 12:48:17 2020-12-16 19:03:04 [INFO] [TRAIN] epoch=58, iter=21320/80000, loss=0.2489, lr=0.007566, batch_cost=0.8638, reader_cost=0.0001 | ETA 14:04:50 2020-12-16 19:03:12 [INFO] [TRAIN] epoch=58, iter=21330/80000, loss=0.2141, lr=0.007565, batch_cost=0.7842, reader_cost=0.0006 | ETA 12:46:50 2020-12-16 19:03:20 [INFO] [TRAIN] epoch=58, iter=21340/80000, loss=0.1908, lr=0.007564, batch_cost=0.7570, reader_cost=0.0018 | ETA 12:20:07 2020-12-16 19:03:28 [INFO] [TRAIN] epoch=58, iter=21350/80000, loss=0.2333, lr=0.007563, batch_cost=0.8561, reader_cost=0.0006 | ETA 13:56:50 2020-12-16 19:03:34 [INFO] [TRAIN] epoch=58, iter=21360/80000, loss=0.2344, lr=0.007561, batch_cost=0.5426, reader_cost=0.0001 | ETA 08:50:16 2020-12-16 19:03:39 [INFO] [TRAIN] epoch=58, iter=21370/80000, loss=0.1618, lr=0.007560, batch_cost=0.5664, reader_cost=0.0005 | ETA 09:13:25 2020-12-16 19:03:45 [INFO] [TRAIN] epoch=58, iter=21380/80000, loss=0.2491, lr=0.007559, batch_cost=0.5538, reader_cost=0.0002 | ETA 09:01:01 2020-12-16 19:03:50 [INFO] [TRAIN] epoch=58, iter=21390/80000, loss=0.1822, lr=0.007558, batch_cost=0.5605, reader_cost=0.0002 | ETA 09:07:31 2020-12-16 19:03:56 [INFO] [TRAIN] epoch=58, iter=21400/80000, loss=0.2116, lr=0.007557, batch_cost=0.5934, reader_cost=0.0011 | ETA 09:39:31 2020-12-16 19:04:04 [INFO] [TRAIN] epoch=58, iter=21410/80000, loss=0.2163, lr=0.007556, batch_cost=0.7640, reader_cost=0.0049 | ETA 12:26:03 2020-12-16 19:04:12 [INFO] [TRAIN] epoch=58, iter=21420/80000, loss=0.2392, lr=0.007554, batch_cost=0.8362, reader_cost=0.0032 | ETA 13:36:26 2020-12-16 19:04:20 [INFO] [TRAIN] epoch=58, iter=21430/80000, loss=0.2067, lr=0.007553, batch_cost=0.7837, reader_cost=0.0005 | ETA 12:45:00 2020-12-16 19:04:28 [INFO] [TRAIN] epoch=58, iter=21440/80000, loss=0.2913, lr=0.007552, batch_cost=0.7994, reader_cost=0.0002 | ETA 13:00:11 2020-12-16 19:04:36 [INFO] [TRAIN] epoch=58, iter=21450/80000, loss=0.2518, lr=0.007551, batch_cost=0.8312, reader_cost=0.0017 | ETA 13:31:07 2020-12-16 19:04:44 [INFO] [TRAIN] epoch=58, iter=21460/80000, loss=0.2005, lr=0.007550, batch_cost=0.7651, reader_cost=0.0014 | ETA 12:26:29 2020-12-16 19:04:52 [INFO] [TRAIN] epoch=58, iter=21470/80000, loss=0.2671, lr=0.007549, batch_cost=0.8339, reader_cost=0.0006 | ETA 13:33:29 2020-12-16 19:05:01 [INFO] [TRAIN] epoch=58, iter=21480/80000, loss=0.2731, lr=0.007547, batch_cost=0.8730, reader_cost=0.0007 | ETA 14:11:25 2020-12-16 19:05:09 [INFO] [TRAIN] epoch=58, iter=21490/80000, loss=0.3181, lr=0.007546, batch_cost=0.8110, reader_cost=0.0001 | ETA 13:10:49 2020-12-16 19:05:18 [INFO] [TRAIN] epoch=58, iter=21500/80000, loss=0.3072, lr=0.007545, batch_cost=0.8389, reader_cost=0.0008 | ETA 13:37:53 2020-12-16 19:05:26 [INFO] [TRAIN] epoch=58, iter=21510/80000, loss=0.1764, lr=0.007544, batch_cost=0.8442, reader_cost=0.0009 | ETA 13:42:58 2020-12-16 19:05:34 [INFO] [TRAIN] epoch=58, iter=21520/80000, loss=0.3772, lr=0.007543, batch_cost=0.7958, reader_cost=0.0001 | ETA 12:55:41 2020-12-16 19:05:42 [INFO] [TRAIN] epoch=58, iter=21530/80000, loss=0.2356, lr=0.007542, batch_cost=0.8207, reader_cost=0.0006 | ETA 13:19:47 2020-12-16 19:05:50 [INFO] [TRAIN] epoch=58, iter=21540/80000, loss=0.2041, lr=0.007540, batch_cost=0.7697, reader_cost=0.0004 | ETA 12:29:58 2020-12-16 19:05:59 [INFO] [TRAIN] epoch=58, iter=21550/80000, loss=0.1600, lr=0.007539, batch_cost=0.8666, reader_cost=0.0051 | ETA 14:04:12 2020-12-16 19:06:06 [INFO] [TRAIN] epoch=58, iter=21560/80000, loss=0.2597, lr=0.007538, batch_cost=0.7546, reader_cost=0.0001 | ETA 12:14:58 2020-12-16 19:06:15 [INFO] [TRAIN] epoch=58, iter=21570/80000, loss=0.2100, lr=0.007537, batch_cost=0.8589, reader_cost=0.0015 | ETA 13:56:27 2020-12-16 19:06:23 [INFO] [TRAIN] epoch=59, iter=21580/80000, loss=0.2089, lr=0.007536, batch_cost=0.7783, reader_cost=0.0498 | ETA 12:37:49 2020-12-16 19:06:31 [INFO] [TRAIN] epoch=59, iter=21590/80000, loss=0.1920, lr=0.007535, batch_cost=0.8683, reader_cost=0.0006 | ETA 14:05:17 2020-12-16 19:06:40 [INFO] [TRAIN] epoch=59, iter=21600/80000, loss=0.3310, lr=0.007534, batch_cost=0.8282, reader_cost=0.0001 | ETA 13:26:04 2020-12-16 19:06:49 [INFO] [TRAIN] epoch=59, iter=21610/80000, loss=0.2132, lr=0.007532, batch_cost=0.9109, reader_cost=0.0002 | ETA 14:46:27 2020-12-16 19:06:58 [INFO] [TRAIN] epoch=59, iter=21620/80000, loss=0.1837, lr=0.007531, batch_cost=0.9147, reader_cost=0.0030 | ETA 14:49:58 2020-12-16 19:07:06 [INFO] [TRAIN] epoch=59, iter=21630/80000, loss=0.1931, lr=0.007530, batch_cost=0.8419, reader_cost=0.0026 | ETA 13:39:04 2020-12-16 19:07:15 [INFO] [TRAIN] epoch=59, iter=21640/80000, loss=0.2096, lr=0.007529, batch_cost=0.8353, reader_cost=0.0040 | ETA 13:32:28 2020-12-16 19:07:23 [INFO] [TRAIN] epoch=59, iter=21650/80000, loss=0.2512, lr=0.007528, batch_cost=0.8520, reader_cost=0.0018 | ETA 13:48:36 2020-12-16 19:07:32 [INFO] [TRAIN] epoch=59, iter=21660/80000, loss=0.2016, lr=0.007527, batch_cost=0.8719, reader_cost=0.0002 | ETA 14:07:48 2020-12-16 19:07:41 [INFO] [TRAIN] epoch=59, iter=21670/80000, loss=0.3186, lr=0.007525, batch_cost=0.8839, reader_cost=0.0022 | ETA 14:19:19 2020-12-16 19:07:49 [INFO] [TRAIN] epoch=59, iter=21680/80000, loss=0.1881, lr=0.007524, batch_cost=0.8244, reader_cost=0.0013 | ETA 13:21:19 2020-12-16 19:07:56 [INFO] [TRAIN] epoch=59, iter=21690/80000, loss=0.1716, lr=0.007523, batch_cost=0.7512, reader_cost=0.0001 | ETA 12:10:00 2020-12-16 19:08:05 [INFO] [TRAIN] epoch=59, iter=21700/80000, loss=0.2284, lr=0.007522, batch_cost=0.8103, reader_cost=0.0006 | ETA 13:07:21 2020-12-16 19:08:12 [INFO] [TRAIN] epoch=59, iter=21710/80000, loss=0.1996, lr=0.007521, batch_cost=0.7224, reader_cost=0.0033 | ETA 11:41:51 2020-12-16 19:08:20 [INFO] [TRAIN] epoch=59, iter=21720/80000, loss=0.2072, lr=0.007520, batch_cost=0.8000, reader_cost=0.0001 | ETA 12:57:04 2020-12-16 19:08:29 [INFO] [TRAIN] epoch=59, iter=21730/80000, loss=0.1491, lr=0.007518, batch_cost=0.8817, reader_cost=0.0013 | ETA 14:16:15 2020-12-16 19:08:37 [INFO] [TRAIN] epoch=59, iter=21740/80000, loss=0.2168, lr=0.007517, batch_cost=0.7893, reader_cost=0.0010 | ETA 12:46:23 2020-12-16 19:08:42 [INFO] [TRAIN] epoch=59, iter=21750/80000, loss=0.1499, lr=0.007516, batch_cost=0.5511, reader_cost=0.0001 | ETA 08:55:01 2020-12-16 19:08:48 [INFO] [TRAIN] epoch=59, iter=21760/80000, loss=0.2451, lr=0.007515, batch_cost=0.5720, reader_cost=0.0001 | ETA 09:15:13 2020-12-16 19:08:53 [INFO] [TRAIN] epoch=59, iter=21770/80000, loss=0.2576, lr=0.007514, batch_cost=0.5433, reader_cost=0.0001 | ETA 08:47:14 2020-12-16 19:08:59 [INFO] [TRAIN] epoch=59, iter=21780/80000, loss=0.2057, lr=0.007513, batch_cost=0.5628, reader_cost=0.0001 | ETA 09:06:06 2020-12-16 19:09:04 [INFO] [TRAIN] epoch=59, iter=21790/80000, loss=0.2103, lr=0.007511, batch_cost=0.5585, reader_cost=0.0002 | ETA 09:01:49 2020-12-16 19:09:11 [INFO] [TRAIN] epoch=59, iter=21800/80000, loss=0.3328, lr=0.007510, batch_cost=0.6812, reader_cost=0.0001 | ETA 11:00:48 2020-12-16 19:09:19 [INFO] [TRAIN] epoch=59, iter=21810/80000, loss=0.2166, lr=0.007509, batch_cost=0.7609, reader_cost=0.0005 | ETA 12:17:57 2020-12-16 19:09:26 [INFO] [TRAIN] epoch=59, iter=21820/80000, loss=0.2172, lr=0.007508, batch_cost=0.7286, reader_cost=0.0001 | ETA 11:46:31 2020-12-16 19:09:35 [INFO] [TRAIN] epoch=59, iter=21830/80000, loss=0.3053, lr=0.007507, batch_cost=0.8453, reader_cost=0.0050 | ETA 13:39:33 2020-12-16 19:09:43 [INFO] [TRAIN] epoch=59, iter=21840/80000, loss=0.2932, lr=0.007506, batch_cost=0.8098, reader_cost=0.0001 | ETA 13:04:57 2020-12-16 19:09:51 [INFO] [TRAIN] epoch=59, iter=21850/80000, loss=0.3286, lr=0.007504, batch_cost=0.8301, reader_cost=0.0013 | ETA 13:24:30 2020-12-16 19:09:59 [INFO] [TRAIN] epoch=59, iter=21860/80000, loss=0.2311, lr=0.007503, batch_cost=0.8087, reader_cost=0.0001 | ETA 13:03:36 2020-12-16 19:10:07 [INFO] [TRAIN] epoch=59, iter=21870/80000, loss=0.2050, lr=0.007502, batch_cost=0.7767, reader_cost=0.0014 | ETA 12:32:29 2020-12-16 19:10:15 [INFO] [TRAIN] epoch=59, iter=21880/80000, loss=0.2104, lr=0.007501, batch_cost=0.8427, reader_cost=0.0027 | ETA 13:36:15 2020-12-16 19:10:23 [INFO] [TRAIN] epoch=59, iter=21890/80000, loss=0.1657, lr=0.007500, batch_cost=0.8076, reader_cost=0.0036 | ETA 13:02:07 2020-12-16 19:10:32 [INFO] [TRAIN] epoch=59, iter=21900/80000, loss=0.1873, lr=0.007499, batch_cost=0.8607, reader_cost=0.0001 | ETA 13:53:23 2020-12-16 19:10:40 [INFO] [TRAIN] epoch=59, iter=21910/80000, loss=0.2933, lr=0.007498, batch_cost=0.8480, reader_cost=0.0012 | ETA 13:41:01 2020-12-16 19:10:49 [INFO] [TRAIN] epoch=59, iter=21920/80000, loss=0.2002, lr=0.007496, batch_cost=0.8348, reader_cost=0.0001 | ETA 13:28:04 2020-12-16 19:10:58 [INFO] [TRAIN] epoch=59, iter=21930/80000, loss=0.2132, lr=0.007495, batch_cost=0.8745, reader_cost=0.0064 | ETA 14:06:20 2020-12-16 19:11:05 [INFO] [TRAIN] epoch=59, iter=21940/80000, loss=0.5755, lr=0.007494, batch_cost=0.7943, reader_cost=0.0031 | ETA 12:48:38 2020-12-16 19:11:13 [INFO] [TRAIN] epoch=60, iter=21950/80000, loss=0.3569, lr=0.007493, batch_cost=0.7565, reader_cost=0.0559 | ETA 12:11:52 2020-12-16 19:11:22 [INFO] [TRAIN] epoch=60, iter=21960/80000, loss=0.3233, lr=0.007492, batch_cost=0.8463, reader_cost=0.0027 | ETA 13:38:39 2020-12-16 19:11:29 [INFO] [TRAIN] epoch=60, iter=21970/80000, loss=0.3008, lr=0.007491, batch_cost=0.7871, reader_cost=0.0005 | ETA 12:41:14 2020-12-16 19:11:37 [INFO] [TRAIN] epoch=60, iter=21980/80000, loss=0.2182, lr=0.007489, batch_cost=0.7273, reader_cost=0.0003 | ETA 11:43:19 2020-12-16 19:11:45 [INFO] [TRAIN] epoch=60, iter=21990/80000, loss=0.2477, lr=0.007488, batch_cost=0.7972, reader_cost=0.0001 | ETA 12:50:44 2020-12-16 19:11:52 [INFO] [TRAIN] epoch=60, iter=22000/80000, loss=0.1810, lr=0.007487, batch_cost=0.7663, reader_cost=0.0008 | ETA 12:20:46 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 19:11:52 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 19:12:34 [INFO] [EVAL] #Images=500 mIoU=0.7445 Acc=0.9530 Kappa=0.9388 2020-12-16 19:12:34 [INFO] [EVAL] Class IoU: [0.9744 0.8052 0.9135 0.4609 0.5555 0.5397 0.6657 0.7542 0.9141 0.6406 0.9408 0.7932 0.5955 0.9391 0.7652 0.826 0.7271 0.5906 0.7434] 2020-12-16 19:12:34 [INFO] [EVAL] Class Acc: [0.9809 0.9361 0.9452 0.7979 0.8538 0.793 0.8153 0.8814 0.9486 0.7834 0.9646 0.8723 0.7422 0.9662 0.8942 0.9174 0.8413 0.6769 0.8194] 2020-12-16 19:12:42 [INFO] [EVAL] The model with the best validation mIoU (0.7445) was saved at iter 22000. 2020-12-16 19:12:51 [INFO] [TRAIN] epoch=60, iter=22010/80000, loss=0.2416, lr=0.007486, batch_cost=0.8403, reader_cost=0.0001 | ETA 13:32:08 2020-12-16 19:12:59 [INFO] [TRAIN] epoch=60, iter=22020/80000, loss=0.2327, lr=0.007485, batch_cost=0.8417, reader_cost=0.0032 | ETA 13:33:18 2020-12-16 19:13:07 [INFO] [TRAIN] epoch=60, iter=22030/80000, loss=0.2202, lr=0.007484, batch_cost=0.7660, reader_cost=0.0001 | ETA 12:20:04 2020-12-16 19:13:15 [INFO] [TRAIN] epoch=60, iter=22040/80000, loss=0.1886, lr=0.007482, batch_cost=0.8571, reader_cost=0.0013 | ETA 13:47:56 2020-12-16 19:13:24 [INFO] [TRAIN] epoch=60, iter=22050/80000, loss=0.2278, lr=0.007481, batch_cost=0.8079, reader_cost=0.0024 | ETA 13:00:16 2020-12-16 19:13:30 [INFO] [TRAIN] epoch=60, iter=22060/80000, loss=0.1896, lr=0.007480, batch_cost=0.6727, reader_cost=0.0008 | ETA 10:49:37 2020-12-16 19:13:36 [INFO] [TRAIN] epoch=60, iter=22070/80000, loss=0.2900, lr=0.007479, batch_cost=0.5499, reader_cost=0.0001 | ETA 08:50:57 2020-12-16 19:13:41 [INFO] [TRAIN] epoch=60, iter=22080/80000, loss=0.2242, lr=0.007478, batch_cost=0.5684, reader_cost=0.0005 | ETA 09:08:41 2020-12-16 19:13:47 [INFO] [TRAIN] epoch=60, iter=22090/80000, loss=0.2031, lr=0.007477, batch_cost=0.5542, reader_cost=0.0001 | ETA 08:54:52 2020-12-16 19:13:53 [INFO] [TRAIN] epoch=60, iter=22100/80000, loss=0.2188, lr=0.007475, batch_cost=0.5542, reader_cost=0.0001 | ETA 08:54:50 2020-12-16 19:13:58 [INFO] [TRAIN] epoch=60, iter=22110/80000, loss=0.2006, lr=0.007474, batch_cost=0.5816, reader_cost=0.0002 | ETA 09:21:06 2020-12-16 19:14:07 [INFO] [TRAIN] epoch=60, iter=22120/80000, loss=0.2181, lr=0.007473, batch_cost=0.8449, reader_cost=0.0002 | ETA 13:35:04 2020-12-16 19:14:15 [INFO] [TRAIN] epoch=60, iter=22130/80000, loss=0.2690, lr=0.007472, batch_cost=0.7912, reader_cost=0.0028 | ETA 12:43:05 2020-12-16 19:14:23 [INFO] [TRAIN] epoch=60, iter=22140/80000, loss=0.2240, lr=0.007471, batch_cost=0.8501, reader_cost=0.0002 | ETA 13:39:48 2020-12-16 19:14:32 [INFO] [TRAIN] epoch=60, iter=22150/80000, loss=0.2390, lr=0.007470, batch_cost=0.8716, reader_cost=0.0014 | ETA 14:00:19 2020-12-16 19:14:40 [INFO] [TRAIN] epoch=60, iter=22160/80000, loss=0.1857, lr=0.007468, batch_cost=0.8379, reader_cost=0.0028 | ETA 13:27:44 2020-12-16 19:14:49 [INFO] [TRAIN] epoch=60, iter=22170/80000, loss=0.2620, lr=0.007467, batch_cost=0.8758, reader_cost=0.0001 | ETA 14:04:08 2020-12-16 19:14:57 [INFO] [TRAIN] epoch=60, iter=22180/80000, loss=0.2039, lr=0.007466, batch_cost=0.8234, reader_cost=0.0010 | ETA 13:13:27 2020-12-16 19:15:05 [INFO] [TRAIN] epoch=60, iter=22190/80000, loss=0.3561, lr=0.007465, batch_cost=0.8028, reader_cost=0.0034 | ETA 12:53:27 2020-12-16 19:15:14 [INFO] [TRAIN] epoch=60, iter=22200/80000, loss=0.1602, lr=0.007464, batch_cost=0.8873, reader_cost=0.0007 | ETA 14:14:45 2020-12-16 19:15:22 [INFO] [TRAIN] epoch=60, iter=22210/80000, loss=0.2535, lr=0.007463, batch_cost=0.8015, reader_cost=0.0049 | ETA 12:51:56 2020-12-16 19:15:31 [INFO] [TRAIN] epoch=60, iter=22220/80000, loss=0.1887, lr=0.007461, batch_cost=0.8395, reader_cost=0.0008 | ETA 13:28:27 2020-12-16 19:15:39 [INFO] [TRAIN] epoch=60, iter=22230/80000, loss=0.1912, lr=0.007460, batch_cost=0.8778, reader_cost=0.0031 | ETA 14:05:10 2020-12-16 19:15:47 [INFO] [TRAIN] epoch=60, iter=22240/80000, loss=0.2031, lr=0.007459, batch_cost=0.7611, reader_cost=0.0037 | ETA 12:12:43 2020-12-16 19:15:55 [INFO] [TRAIN] epoch=60, iter=22250/80000, loss=0.2638, lr=0.007458, batch_cost=0.7503, reader_cost=0.0024 | ETA 12:02:07 2020-12-16 19:16:03 [INFO] [TRAIN] epoch=60, iter=22260/80000, loss=0.2255, lr=0.007457, batch_cost=0.8092, reader_cost=0.0008 | ETA 12:58:41 2020-12-16 19:16:11 [INFO] [TRAIN] epoch=60, iter=22270/80000, loss=0.2125, lr=0.007456, batch_cost=0.8274, reader_cost=0.0001 | ETA 13:16:02 2020-12-16 19:16:19 [INFO] [TRAIN] epoch=60, iter=22280/80000, loss=0.2019, lr=0.007455, batch_cost=0.7923, reader_cost=0.0013 | ETA 12:42:11 2020-12-16 19:16:27 [INFO] [TRAIN] epoch=60, iter=22290/80000, loss=0.2270, lr=0.007453, batch_cost=0.8655, reader_cost=0.0013 | ETA 13:52:26 2020-12-16 19:16:36 [INFO] [TRAIN] epoch=60, iter=22300/80000, loss=0.1914, lr=0.007452, batch_cost=0.8107, reader_cost=0.0027 | ETA 12:59:37 2020-12-16 19:16:44 [INFO] [TRAIN] epoch=60, iter=22310/80000, loss=0.1864, lr=0.007451, batch_cost=0.8445, reader_cost=0.0017 | ETA 13:31:57 2020-12-16 19:16:51 [INFO] [TRAIN] epoch=60, iter=22320/80000, loss=0.2214, lr=0.007450, batch_cost=0.7421, reader_cost=0.0010 | ETA 11:53:23 2020-12-16 19:17:01 [INFO] [TRAIN] epoch=61, iter=22330/80000, loss=0.1998, lr=0.007449, batch_cost=0.9206, reader_cost=0.0637 | ETA 14:44:49 2020-12-16 19:17:09 [INFO] [TRAIN] epoch=61, iter=22340/80000, loss=0.1467, lr=0.007448, batch_cost=0.7879, reader_cost=0.0004 | ETA 12:37:08 2020-12-16 19:17:14 [INFO] [TRAIN] epoch=61, iter=22350/80000, loss=0.1731, lr=0.007446, batch_cost=0.5554, reader_cost=0.0001 | ETA 08:53:36 2020-12-16 19:17:20 [INFO] [TRAIN] epoch=61, iter=22360/80000, loss=0.2464, lr=0.007445, batch_cost=0.5547, reader_cost=0.0002 | ETA 08:52:54 2020-12-16 19:17:25 [INFO] [TRAIN] epoch=61, iter=22370/80000, loss=0.1655, lr=0.007444, batch_cost=0.5563, reader_cost=0.0002 | ETA 08:54:18 2020-12-16 19:17:31 [INFO] [TRAIN] epoch=61, iter=22380/80000, loss=0.1875, lr=0.007443, batch_cost=0.5514, reader_cost=0.0005 | ETA 08:49:34 2020-12-16 19:17:36 [INFO] [TRAIN] epoch=61, iter=22390/80000, loss=0.1593, lr=0.007442, batch_cost=0.5380, reader_cost=0.0005 | ETA 08:36:34 2020-12-16 19:17:42 [INFO] [TRAIN] epoch=61, iter=22400/80000, loss=0.2089, lr=0.007441, batch_cost=0.5490, reader_cost=0.0001 | ETA 08:47:01 2020-12-16 19:17:47 [INFO] [TRAIN] epoch=61, iter=22410/80000, loss=0.2115, lr=0.007439, batch_cost=0.5442, reader_cost=0.0001 | ETA 08:42:18 2020-12-16 19:17:55 [INFO] [TRAIN] epoch=61, iter=22420/80000, loss=0.2004, lr=0.007438, batch_cost=0.7600, reader_cost=0.0092 | ETA 12:09:19 2020-12-16 19:18:03 [INFO] [TRAIN] epoch=61, iter=22430/80000, loss=0.1789, lr=0.007437, batch_cost=0.8218, reader_cost=0.0037 | ETA 13:08:31 2020-12-16 19:18:11 [INFO] [TRAIN] epoch=61, iter=22440/80000, loss=0.3129, lr=0.007436, batch_cost=0.8190, reader_cost=0.0012 | ETA 13:05:40 2020-12-16 19:18:19 [INFO] [TRAIN] epoch=61, iter=22450/80000, loss=0.2194, lr=0.007435, batch_cost=0.8087, reader_cost=0.0018 | ETA 12:55:38 2020-12-16 19:18:28 [INFO] [TRAIN] epoch=61, iter=22460/80000, loss=0.1814, lr=0.007434, batch_cost=0.9185, reader_cost=0.0021 | ETA 14:40:50 2020-12-16 19:18:37 [INFO] [TRAIN] epoch=61, iter=22470/80000, loss=0.2082, lr=0.007432, batch_cost=0.8564, reader_cost=0.0002 | ETA 13:41:06 2020-12-16 19:18:46 [INFO] [TRAIN] epoch=61, iter=22480/80000, loss=0.1814, lr=0.007431, batch_cost=0.8782, reader_cost=0.0003 | ETA 14:01:52 2020-12-16 19:18:54 [INFO] [TRAIN] epoch=61, iter=22490/80000, loss=0.2296, lr=0.007430, batch_cost=0.8235, reader_cost=0.0002 | ETA 13:09:20 2020-12-16 19:19:03 [INFO] [TRAIN] epoch=61, iter=22500/80000, loss=0.2736, lr=0.007429, batch_cost=0.9172, reader_cost=0.0002 | ETA 14:39:00 2020-12-16 19:19:11 [INFO] [TRAIN] epoch=61, iter=22510/80000, loss=0.3743, lr=0.007428, batch_cost=0.7503, reader_cost=0.0007 | ETA 11:58:56 2020-12-16 19:19:19 [INFO] [TRAIN] epoch=61, iter=22520/80000, loss=0.2445, lr=0.007427, batch_cost=0.7951, reader_cost=0.0041 | ETA 12:41:42 2020-12-16 19:19:27 [INFO] [TRAIN] epoch=61, iter=22530/80000, loss=0.2052, lr=0.007425, batch_cost=0.8001, reader_cost=0.0020 | ETA 12:46:21 2020-12-16 19:19:34 [INFO] [TRAIN] epoch=61, iter=22540/80000, loss=0.2128, lr=0.007424, batch_cost=0.7348, reader_cost=0.0025 | ETA 11:43:40 2020-12-16 19:19:39 [INFO] [TRAIN] epoch=61, iter=22550/80000, loss=0.2713, lr=0.007423, batch_cost=0.5371, reader_cost=0.0001 | ETA 08:34:17 2020-12-16 19:19:45 [INFO] [TRAIN] epoch=61, iter=22560/80000, loss=0.2055, lr=0.007422, batch_cost=0.5864, reader_cost=0.0005 | ETA 09:21:20 2020-12-16 19:19:51 [INFO] [TRAIN] epoch=61, iter=22570/80000, loss=0.2645, lr=0.007421, batch_cost=0.5828, reader_cost=0.0002 | ETA 09:17:52 2020-12-16 19:19:57 [INFO] [TRAIN] epoch=61, iter=22580/80000, loss=0.2355, lr=0.007420, batch_cost=0.5744, reader_cost=0.0001 | ETA 09:09:42 2020-12-16 19:20:03 [INFO] [TRAIN] epoch=61, iter=22590/80000, loss=0.2108, lr=0.007418, batch_cost=0.6259, reader_cost=0.0004 | ETA 09:58:54 2020-12-16 19:20:11 [INFO] [TRAIN] epoch=61, iter=22600/80000, loss=0.1775, lr=0.007417, batch_cost=0.8106, reader_cost=0.0015 | ETA 12:55:30 2020-12-16 19:20:20 [INFO] [TRAIN] epoch=61, iter=22610/80000, loss=0.2600, lr=0.007416, batch_cost=0.8617, reader_cost=0.0031 | ETA 13:44:15 2020-12-16 19:20:29 [INFO] [TRAIN] epoch=61, iter=22620/80000, loss=0.2247, lr=0.007415, batch_cost=0.8895, reader_cost=0.0029 | ETA 14:10:40 2020-12-16 19:20:37 [INFO] [TRAIN] epoch=61, iter=22630/80000, loss=0.1894, lr=0.007414, batch_cost=0.8064, reader_cost=0.0001 | ETA 12:51:03 2020-12-16 19:20:45 [INFO] [TRAIN] epoch=61, iter=22640/80000, loss=0.1957, lr=0.007413, batch_cost=0.8143, reader_cost=0.0007 | ETA 12:58:30 2020-12-16 19:20:53 [INFO] [TRAIN] epoch=61, iter=22650/80000, loss=0.2819, lr=0.007411, batch_cost=0.8210, reader_cost=0.0001 | ETA 13:04:46 2020-12-16 19:21:00 [INFO] [TRAIN] epoch=61, iter=22660/80000, loss=0.1994, lr=0.007410, batch_cost=0.7315, reader_cost=0.0022 | ETA 11:39:01 2020-12-16 19:21:09 [INFO] [TRAIN] epoch=61, iter=22670/80000, loss=0.2302, lr=0.007409, batch_cost=0.8957, reader_cost=0.0018 | ETA 14:15:51 2020-12-16 19:21:17 [INFO] [TRAIN] epoch=61, iter=22680/80000, loss=0.1872, lr=0.007408, batch_cost=0.8203, reader_cost=0.0048 | ETA 13:03:42 2020-12-16 19:21:24 [INFO] [TRAIN] epoch=61, iter=22690/80000, loss=0.1773, lr=0.007407, batch_cost=0.6985, reader_cost=0.0015 | ETA 11:07:12 2020-12-16 19:21:33 [INFO] [TRAIN] epoch=62, iter=22700/80000, loss=0.2328, lr=0.007406, batch_cost=0.8805, reader_cost=0.0858 | ETA 14:00:51 2020-12-16 19:21:42 [INFO] [TRAIN] epoch=62, iter=22710/80000, loss=0.1828, lr=0.007405, batch_cost=0.8564, reader_cost=0.0019 | ETA 13:37:41 2020-12-16 19:21:50 [INFO] [TRAIN] epoch=62, iter=22720/80000, loss=0.1988, lr=0.007403, batch_cost=0.8342, reader_cost=0.0002 | ETA 13:16:23 2020-12-16 19:21:56 [INFO] [TRAIN] epoch=62, iter=22730/80000, loss=0.1566, lr=0.007402, batch_cost=0.5838, reader_cost=0.0001 | ETA 09:17:13 2020-12-16 19:22:01 [INFO] [TRAIN] epoch=62, iter=22740/80000, loss=0.2087, lr=0.007401, batch_cost=0.5436, reader_cost=0.0002 | ETA 08:38:47 2020-12-16 19:22:07 [INFO] [TRAIN] epoch=62, iter=22750/80000, loss=0.2554, lr=0.007400, batch_cost=0.5468, reader_cost=0.0001 | ETA 08:41:45 2020-12-16 19:22:12 [INFO] [TRAIN] epoch=62, iter=22760/80000, loss=0.1970, lr=0.007399, batch_cost=0.5473, reader_cost=0.0001 | ETA 08:42:05 2020-12-16 19:22:18 [INFO] [TRAIN] epoch=62, iter=22770/80000, loss=0.2838, lr=0.007398, batch_cost=0.5410, reader_cost=0.0001 | ETA 08:36:03 2020-12-16 19:22:23 [INFO] [TRAIN] epoch=62, iter=22780/80000, loss=0.2243, lr=0.007396, batch_cost=0.5355, reader_cost=0.0001 | ETA 08:30:40 2020-12-16 19:22:29 [INFO] [TRAIN] epoch=62, iter=22790/80000, loss=0.2076, lr=0.007395, batch_cost=0.5506, reader_cost=0.0005 | ETA 08:45:01 2020-12-16 19:22:34 [INFO] [TRAIN] epoch=62, iter=22800/80000, loss=0.1746, lr=0.007394, batch_cost=0.5587, reader_cost=0.0001 | ETA 08:52:36 2020-12-16 19:22:40 [INFO] [TRAIN] epoch=62, iter=22810/80000, loss=0.2626, lr=0.007393, batch_cost=0.5513, reader_cost=0.0001 | ETA 08:45:28 2020-12-16 19:22:45 [INFO] [TRAIN] epoch=62, iter=22820/80000, loss=0.2035, lr=0.007392, batch_cost=0.5398, reader_cost=0.0001 | ETA 08:34:25 2020-12-16 19:22:51 [INFO] [TRAIN] epoch=62, iter=22830/80000, loss=0.2166, lr=0.007391, batch_cost=0.5411, reader_cost=0.0001 | ETA 08:35:36 2020-12-16 19:22:56 [INFO] [TRAIN] epoch=62, iter=22840/80000, loss=0.1713, lr=0.007389, batch_cost=0.5600, reader_cost=0.0001 | ETA 08:53:31 2020-12-16 19:23:02 [INFO] [TRAIN] epoch=62, iter=22850/80000, loss=0.2092, lr=0.007388, batch_cost=0.5507, reader_cost=0.0002 | ETA 08:44:31 2020-12-16 19:23:07 [INFO] [TRAIN] epoch=62, iter=22860/80000, loss=0.2178, lr=0.007387, batch_cost=0.5516, reader_cost=0.0001 | ETA 08:45:18 2020-12-16 19:23:13 [INFO] [TRAIN] epoch=62, iter=22870/80000, loss=0.1780, lr=0.007386, batch_cost=0.5507, reader_cost=0.0002 | ETA 08:44:18 2020-12-16 19:23:18 [INFO] [TRAIN] epoch=62, iter=22880/80000, loss=0.2049, lr=0.007385, batch_cost=0.5426, reader_cost=0.0002 | ETA 08:36:34 2020-12-16 19:23:24 [INFO] [TRAIN] epoch=62, iter=22890/80000, loss=0.1211, lr=0.007384, batch_cost=0.5443, reader_cost=0.0001 | ETA 08:38:03 2020-12-16 19:23:29 [INFO] [TRAIN] epoch=62, iter=22900/80000, loss=0.1784, lr=0.007382, batch_cost=0.5505, reader_cost=0.0004 | ETA 08:43:50 2020-12-16 19:23:35 [INFO] [TRAIN] epoch=62, iter=22910/80000, loss=0.1877, lr=0.007381, batch_cost=0.5511, reader_cost=0.0001 | ETA 08:44:19 2020-12-16 19:23:40 [INFO] [TRAIN] epoch=62, iter=22920/80000, loss=0.2263, lr=0.007380, batch_cost=0.5457, reader_cost=0.0001 | ETA 08:39:05 2020-12-16 19:23:46 [INFO] [TRAIN] epoch=62, iter=22930/80000, loss=0.1886, lr=0.007379, batch_cost=0.5598, reader_cost=0.0004 | ETA 08:52:28 2020-12-16 19:23:51 [INFO] [TRAIN] epoch=62, iter=22940/80000, loss=0.2147, lr=0.007378, batch_cost=0.5514, reader_cost=0.0001 | ETA 08:44:24 2020-12-16 19:23:57 [INFO] [TRAIN] epoch=62, iter=22950/80000, loss=0.2197, lr=0.007377, batch_cost=0.5416, reader_cost=0.0002 | ETA 08:34:59 2020-12-16 19:24:02 [INFO] [TRAIN] epoch=62, iter=22960/80000, loss=0.2634, lr=0.007375, batch_cost=0.5378, reader_cost=0.0001 | ETA 08:31:18 2020-12-16 19:24:08 [INFO] [TRAIN] epoch=62, iter=22970/80000, loss=0.2547, lr=0.007374, batch_cost=0.5543, reader_cost=0.0001 | ETA 08:46:53 2020-12-16 19:24:13 [INFO] [TRAIN] epoch=62, iter=22980/80000, loss=0.1533, lr=0.007373, batch_cost=0.5614, reader_cost=0.0002 | ETA 08:53:32 2020-12-16 19:24:19 [INFO] [TRAIN] epoch=62, iter=22990/80000, loss=0.2666, lr=0.007372, batch_cost=0.5621, reader_cost=0.0002 | ETA 08:54:07 2020-12-16 19:24:24 [INFO] [TRAIN] epoch=62, iter=23000/80000, loss=0.1803, lr=0.007371, batch_cost=0.5485, reader_cost=0.0001 | ETA 08:41:06 aug_eval False scales 1.0 2020-12-16 19:24:24 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-16 19:24:59 [INFO] [EVAL] #Images=500 mIoU=0.7333 Acc=0.9518 Kappa=0.9375 2020-12-16 19:24:59 [INFO] [EVAL] Class IoU: [0.9753 0.8211 0.913 0.4505 0.5129 0.5339 0.6736 0.7385 0.9079 0.6309 0.9416 0.7698 0.5283 0.9428 0.6485 0.8513 0.7521 0.5916 0.7492] 2020-12-16 19:24:59 [INFO] [EVAL] Class Acc: [0.9913 0.8881 0.9481 0.8051 0.8253 0.7961 0.7818 0.9192 0.9373 0.7806 0.9671 0.8727 0.5901 0.9663 0.7001 0.9326 0.8906 0.7689 0.8496] 2020-12-16 19:25:03 [INFO] [EVAL] The model with the best validation mIoU (0.7445) was saved at iter 22000. 2020-12-16 19:25:09 [INFO] [TRAIN] epoch=62, iter=23010/80000, loss=0.2535, lr=0.007370, batch_cost=0.5424, reader_cost=0.0001 | ETA 08:35:14 2020-12-16 19:25:14 [INFO] [TRAIN] epoch=62, iter=23020/80000, loss=0.1704, lr=0.007368, batch_cost=0.5657, reader_cost=0.0001 | ETA 08:57:12 2020-12-16 19:25:20 [INFO] [TRAIN] epoch=62, iter=23030/80000, loss=0.2016, lr=0.007367, batch_cost=0.5491, reader_cost=0.0001 | ETA 08:41:22 2020-12-16 19:25:26 [INFO] [TRAIN] epoch=62, iter=23040/80000, loss=0.1846, lr=0.007366, batch_cost=0.5555, reader_cost=0.0002 | ETA 08:47:20 2020-12-16 19:25:31 [INFO] [TRAIN] epoch=62, iter=23050/80000, loss=0.2428, lr=0.007365, batch_cost=0.5428, reader_cost=0.0001 | ETA 08:35:11 2020-12-16 19:25:37 [INFO] [TRAIN] epoch=62, iter=23060/80000, loss=0.1777, lr=0.007364, batch_cost=0.5562, reader_cost=0.0001 | ETA 08:47:47 2020-12-16 19:25:43 [INFO] [TRAIN] epoch=63, iter=23070/80000, loss=0.2057, lr=0.007363, batch_cost=0.6102, reader_cost=0.0609 | ETA 09:38:58 2020-12-16 19:25:48 [INFO] [TRAIN] epoch=63, iter=23080/80000, loss=0.2598, lr=0.007361, batch_cost=0.5597, reader_cost=0.0002 | ETA 08:50:57 2020-12-16 19:25:54 [INFO] [TRAIN] epoch=63, iter=23090/80000, loss=0.2551, lr=0.007360, batch_cost=0.5648, reader_cost=0.0001 | ETA 08:55:43 2020-12-16 19:25:59 [INFO] [TRAIN] epoch=63, iter=23100/80000, loss=0.2066, lr=0.007359, batch_cost=0.5564, reader_cost=0.0001 | ETA 08:47:40 2020-12-16 19:26:05 [INFO] [TRAIN] epoch=63, iter=23110/80000, loss=0.1890, lr=0.007358, batch_cost=0.5645, reader_cost=0.0001 | ETA 08:55:14 2020-12-16 19:26:11 [INFO] [TRAIN] epoch=63, iter=23120/80000, loss=0.2069, lr=0.007357, batch_cost=0.5516, reader_cost=0.0001 | ETA 08:42:52 2020-12-16 19:26:16 [INFO] [TRAIN] epoch=63, iter=23130/80000, loss=0.1797, lr=0.007356, batch_cost=0.5498, reader_cost=0.0001 | ETA 08:41:04 2020-12-16 19:26:22 [INFO] [TRAIN] epoch=63, iter=23140/80000, loss=0.2799, lr=0.007354, batch_cost=0.5458, reader_cost=0.0001 | ETA 08:37:15 2020-12-16 19:26:27 [INFO] [TRAIN] epoch=63, iter=23150/80000, loss=0.1908, lr=0.007353, batch_cost=0.5297, reader_cost=0.0003 | ETA 08:21:54 2020-12-16 19:26:32 [INFO] [TRAIN] epoch=63, iter=23160/80000, loss=0.2019, lr=0.007352, batch_cost=0.5479, reader_cost=0.0001 | ETA 08:38:59 2020-12-16 19:26:38 [INFO] [TRAIN] epoch=63, iter=23170/80000, loss=0.2255, lr=0.007351, batch_cost=0.5438, reader_cost=0.0002 | ETA 08:35:03 2020-12-16 19:26:43 [INFO] [TRAIN] epoch=63, iter=23180/80000, loss=0.2359, lr=0.007350, batch_cost=0.5519, reader_cost=0.0001 | ETA 08:42:36 2020-12-16 19:26:49 [INFO] [TRAIN] epoch=63, iter=23190/80000, loss=0.2013, lr=0.007349, batch_cost=0.5404, reader_cost=0.0001 | ETA 08:31:40 2020-12-16 19:26:54 [INFO] [TRAIN] epoch=63, iter=23200/80000, loss=0.1810, lr=0.007347, batch_cost=0.5492, reader_cost=0.0002 | ETA 08:39:54 2020-12-16 19:27:00 [INFO] [TRAIN] epoch=63, iter=23210/80000, loss=0.2183, lr=0.007346, batch_cost=0.5382, reader_cost=0.0001 | ETA 08:29:25 2020-12-16 19:27:05 [INFO] [TRAIN] epoch=63, iter=23220/80000, loss=0.1819, lr=0.007345, batch_cost=0.5515, reader_cost=0.0001 | ETA 08:41:54 2020-12-16 19:27:11 [INFO] [TRAIN] epoch=63, iter=23230/80000, loss=0.1771, lr=0.007344, batch_cost=0.5558, reader_cost=0.0001 | ETA 08:45:52 2020-12-16 19:27:16 [INFO] [TRAIN] epoch=63, iter=23240/80000, loss=0.1906, lr=0.007343, batch_cost=0.5553, reader_cost=0.0001 | ETA 08:45:20 2020-12-16 19:27:22 [INFO] [TRAIN] epoch=63, iter=23250/80000, loss=0.2406, lr=0.007342, batch_cost=0.5539, reader_cost=0.0001 | ETA 08:43:52 2020-12-16 19:27:27 [INFO] [TRAIN] epoch=63, iter=23260/80000, loss=0.2552, lr=0.007341, batch_cost=0.5443, reader_cost=0.0001 | ETA 08:34:44 2020-12-16 19:27:33 [INFO] [TRAIN] epoch=63, iter=23270/80000, loss=0.1992, lr=0.007339, batch_cost=0.5465, reader_cost=0.0001 | ETA 08:36:43 2020-12-16 19:27:38 [INFO] [TRAIN] epoch=63, iter=23280/80000, loss=0.2145, lr=0.007338, batch_cost=0.5533, reader_cost=0.0001 | ETA 08:43:00 2020-12-16 19:27:44 [INFO] [TRAIN] epoch=63, iter=23290/80000, loss=0.2065, lr=0.007337, batch_cost=0.5447, reader_cost=0.0001 | ETA 08:34:52 2020-12-16 19:27:49 [INFO] [TRAIN] epoch=63, iter=23300/80000, loss=0.1872, lr=0.007336, batch_cost=0.5455, reader_cost=0.0001 | ETA 08:35:32 2020-12-16 19:27:55 [INFO] [TRAIN] epoch=63, iter=23310/80000, loss=0.2335, lr=0.007335, batch_cost=0.5489, reader_cost=0.0002 | ETA 08:38:39 2020-12-16 19:28:00 [INFO] [TRAIN] epoch=63, iter=23320/80000, loss=0.2168, lr=0.007334, batch_cost=0.5356, reader_cost=0.0001 | ETA 08:25:58 2020-12-16 19:28:05 [INFO] [TRAIN] epoch=63, iter=23330/80000, loss=0.2327, lr=0.007332, batch_cost=0.5406, reader_cost=0.0002 | ETA 08:30:36 2020-12-16 19:28:11 [INFO] [TRAIN] epoch=63, iter=23340/80000, loss=0.2262, lr=0.007331, batch_cost=0.5448, reader_cost=0.0001 | ETA 08:34:29 2020-12-16 19:28:16 [INFO] [TRAIN] epoch=63, iter=23350/80000, loss=0.2239, lr=0.007330, batch_cost=0.5361, reader_cost=0.0001 | ETA 08:26:08 2020-12-16 19:28:22 [INFO] [TRAIN] epoch=63, iter=23360/80000, loss=0.2365, lr=0.007329, batch_cost=0.5710, reader_cost=0.0001 | ETA 08:59:03 2020-12-16 19:28:27 [INFO] [TRAIN] epoch=63, iter=23370/80000, loss=0.2544, lr=0.007328, batch_cost=0.5472, reader_cost=0.0001 | ETA 08:36:28 2020-12-16 19:28:33 [INFO] [TRAIN] epoch=63, iter=23380/80000, loss=0.2264, lr=0.007327, batch_cost=0.5567, reader_cost=0.0004 | ETA 08:45:18 2020-12-16 19:28:38 [INFO] [TRAIN] epoch=63, iter=23390/80000, loss=0.3240, lr=0.007325, batch_cost=0.5475, reader_cost=0.0001 | ETA 08:36:31 2020-12-16 19:28:44 [INFO] [TRAIN] epoch=63, iter=23400/80000, loss=0.2111, lr=0.007324, batch_cost=0.5478, reader_cost=0.0001 | ETA 08:36:47 2020-12-16 19:28:49 [INFO] [TRAIN] epoch=63, iter=23410/80000, loss=0.2748, lr=0.007323, batch_cost=0.5513, reader_cost=0.0010 | ETA 08:40:00 2020-12-16 19:28:55 [INFO] [TRAIN] epoch=63, iter=23420/80000, loss=0.2060, lr=0.007322, batch_cost=0.5375, reader_cost=0.0003 | ETA 08:26:53 2020-12-16 19:29:00 [INFO] [TRAIN] epoch=63, iter=23430/80000, loss=0.2597, lr=0.007321, batch_cost=0.5366, reader_cost=0.0002 | ETA 08:25:57 2020-12-16 19:29:06 [INFO] [TRAIN] epoch=64, iter=23440/80000, loss=0.2318, lr=0.007320, batch_cost=0.6032, reader_cost=0.0680 | ETA 09:28:36 2020-12-16 19:29:12 [INFO] [TRAIN] epoch=64, iter=23450/80000, loss=0.2914, lr=0.007318, batch_cost=0.5708, reader_cost=0.0001 | ETA 08:57:56 2020-12-16 19:29:17 [INFO] [TRAIN] epoch=64, iter=23460/80000, loss=0.1972, lr=0.007317, batch_cost=0.5607, reader_cost=0.0001 | ETA 08:48:19 2020-12-16 19:29:23 [INFO] [TRAIN] epoch=64, iter=23470/80000, loss=0.2321, lr=0.007316, batch_cost=0.5654, reader_cost=0.0001 | ETA 08:52:44 2020-12-16 19:29:29 [INFO] [TRAIN] epoch=64, iter=23480/80000, loss=0.2242, lr=0.007315, batch_cost=0.5612, reader_cost=0.0001 | ETA 08:48:37 2020-12-16 19:29:34 [INFO] [TRAIN] epoch=64, iter=23490/80000, loss=0.2562, lr=0.007314, batch_cost=0.5531, reader_cost=0.0001 | ETA 08:40:55 2020-12-16 19:29:40 [INFO] [TRAIN] epoch=64, iter=23500/80000, loss=0.1720, lr=0.007313, batch_cost=0.5454, reader_cost=0.0001 | ETA 08:33:32 2020-12-16 19:29:45 [INFO] [TRAIN] epoch=64, iter=23510/80000, loss=0.1707, lr=0.007311, batch_cost=0.5678, reader_cost=0.0001 | ETA 08:54:36 2020-12-16 19:29:51 [INFO] [TRAIN] epoch=64, iter=23520/80000, loss=0.2872, lr=0.007310, batch_cost=0.5605, reader_cost=0.0002 | ETA 08:47:39 2020-12-16 19:29:56 [INFO] [TRAIN] epoch=64, iter=23530/80000, loss=0.1986, lr=0.007309, batch_cost=0.5449, reader_cost=0.0001 | ETA 08:32:48 2020-12-16 19:30:02 [INFO] [TRAIN] epoch=64, iter=23540/80000, loss=0.1482, lr=0.007308, batch_cost=0.5662, reader_cost=0.0002 | ETA 08:52:47 2020-12-16 19:30:08 [INFO] [TRAIN] epoch=64, iter=23550/80000, loss=0.1767, lr=0.007307, batch_cost=0.5481, reader_cost=0.0001 | ETA 08:35:39 2020-12-16 19:30:13 [INFO] [TRAIN] epoch=64, iter=23560/80000, loss=0.2315, lr=0.007306, batch_cost=0.5661, reader_cost=0.0001 | ETA 08:52:32 2020-12-16 19:30:19 [INFO] [TRAIN] epoch=64, iter=23570/80000, loss=0.1946, lr=0.007304, batch_cost=0.5446, reader_cost=0.0001 | ETA 08:32:10 2020-12-16 19:30:24 [INFO] [TRAIN] epoch=64, iter=23580/80000, loss=0.1615, lr=0.007303, batch_cost=0.5274, reader_cost=0.0001 | ETA 08:15:54 2020-12-16 19:30:29 [INFO] [TRAIN] epoch=64, iter=23590/80000, loss=0.2623, lr=0.007302, batch_cost=0.5441, reader_cost=0.0001 | ETA 08:31:30 2020-12-16 19:30:35 [INFO] [TRAIN] epoch=64, iter=23600/80000, loss=0.1812, lr=0.007301, batch_cost=0.5473, reader_cost=0.0001 | ETA 08:34:29 2020-12-16 19:30:40 [INFO] [TRAIN] epoch=64, iter=23610/80000, loss=0.2092, lr=0.007300, batch_cost=0.5465, reader_cost=0.0001 | ETA 08:33:34 2020-12-16 19:30:46 [INFO] [TRAIN] epoch=64, iter=23620/80000, loss=0.2152, lr=0.007299, batch_cost=0.5496, reader_cost=0.0001 | ETA 08:36:26 2020-12-16 19:30:51 [INFO] [TRAIN] epoch=64, iter=23630/80000, loss=0.1645, lr=0.007297, batch_cost=0.5652, reader_cost=0.0001 | ETA 08:51:01 2020-12-16 19:30:57 [INFO] [TRAIN] epoch=64, iter=23640/80000, loss=0.1737, lr=0.007296, batch_cost=0.5540, reader_cost=0.0001 | ETA 08:40:22 2020-12-16 19:31:03 [INFO] [TRAIN] epoch=64, iter=23650/80000, loss=0.1856, lr=0.007295, batch_cost=0.5552, reader_cost=0.0001 | ETA 08:41:22 2020-12-16 19:31:08 [INFO] [TRAIN] epoch=64, iter=23660/80000, loss=0.1497, lr=0.007294, batch_cost=0.5515, reader_cost=0.0001 | ETA 08:37:53 2020-12-16 19:31:14 [INFO] [TRAIN] epoch=64, iter=23670/80000, loss=0.1627, lr=0.007293, batch_cost=0.5511, reader_cost=0.0001 | ETA 08:37:22 2020-12-16 19:31:19 [INFO] [TRAIN] epoch=64, iter=23680/80000, loss=0.2474, lr=0.007292, batch_cost=0.5426, reader_cost=0.0001 | ETA 08:29:21 2020-12-16 19:31:25 [INFO] [TRAIN] epoch=64, iter=23690/80000, loss=0.2094, lr=0.007290, batch_cost=0.5523, reader_cost=0.0002 | ETA 08:38:18 2020-12-16 19:31:30 [INFO] [TRAIN] epoch=64, iter=23700/80000, loss=0.1836, lr=0.007289, batch_cost=0.5446, reader_cost=0.0001 | ETA 08:31:00 2020-12-16 19:31:36 [INFO] [TRAIN] epoch=64, iter=23710/80000, loss=0.2033, lr=0.007288, batch_cost=0.5492, reader_cost=0.0001 | ETA 08:35:13 2020-12-16 19:31:41 [INFO] [TRAIN] epoch=64, iter=23720/80000, loss=0.2158, lr=0.007287, batch_cost=0.5562, reader_cost=0.0002 | ETA 08:41:45 2020-12-16 19:31:46 [INFO] [TRAIN] epoch=64, iter=23730/80000, loss=0.1834, lr=0.007286, batch_cost=0.5345, reader_cost=0.0002 | ETA 08:21:13 2020-12-16 19:31:52 [INFO] [TRAIN] epoch=64, iter=23740/80000, loss=0.1825, lr=0.007285, batch_cost=0.5461, reader_cost=0.0001 | ETA 08:32:02 2020-12-16 19:31:57 [INFO] [TRAIN] epoch=64, iter=23750/80000, loss=0.2274, lr=0.007283, batch_cost=0.5541, reader_cost=0.0002 | ETA 08:39:30 2020-12-16 19:32:03 [INFO] [TRAIN] epoch=64, iter=23760/80000, loss=0.2354, lr=0.007282, batch_cost=0.5621, reader_cost=0.0001 | ETA 08:46:54 2020-12-16 19:32:09 [INFO] [TRAIN] epoch=64, iter=23770/80000, loss=0.1938, lr=0.007281, batch_cost=0.5474, reader_cost=0.0001 | ETA 08:33:00 2020-12-16 19:32:14 [INFO] [TRAIN] epoch=64, iter=23780/80000, loss=0.1973, lr=0.007280, batch_cost=0.5569, reader_cost=0.0001 | ETA 08:41:46 2020-12-16 19:32:20 [INFO] [TRAIN] epoch=64, iter=23790/80000, loss=0.1945, lr=0.007279, batch_cost=0.5635, reader_cost=0.0001 | ETA 08:47:54 2020-12-16 19:32:25 [INFO] [TRAIN] epoch=64, iter=23800/80000, loss=0.1640, lr=0.007278, batch_cost=0.5563, reader_cost=0.0002 | ETA 08:41:02 2020-12-16 19:32:31 [INFO] [TRAIN] epoch=65, iter=23810/80000, loss=0.1731, lr=0.007276, batch_cost=0.5894, reader_cost=0.0619 | ETA 09:11:58 2020-12-16 19:32:37 [INFO] [TRAIN] epoch=65, iter=23820/80000, loss=0.2059, lr=0.007275, batch_cost=0.5966, reader_cost=0.0002 | ETA 09:18:35 2020-12-16 19:32:43 [INFO] [TRAIN] epoch=65, iter=23830/80000, loss=0.2105, lr=0.007274, batch_cost=0.5523, reader_cost=0.0001 | ETA 08:37:02 2020-12-16 19:32:48 [INFO] [TRAIN] epoch=65, iter=23840/80000, loss=0.2417, lr=0.007273, batch_cost=0.5571, reader_cost=0.0001 | ETA 08:41:28 2020-12-16 19:32:54 [INFO] [TRAIN] epoch=65, iter=23850/80000, loss=0.1815, lr=0.007272, batch_cost=0.5507, reader_cost=0.0001 | ETA 08:35:19 2020-12-16 19:32:59 [INFO] [TRAIN] epoch=65, iter=23860/80000, loss=0.2460, lr=0.007271, batch_cost=0.5510, reader_cost=0.0001 | ETA 08:35:34 2020-12-16 19:33:05 [INFO] [TRAIN] epoch=65, iter=23870/80000, loss=0.3011, lr=0.007269, batch_cost=0.5610, reader_cost=0.0002 | ETA 08:44:46 2020-12-16 19:33:10 [INFO] [TRAIN] epoch=65, iter=23880/80000, loss=0.1922, lr=0.007268, batch_cost=0.5440, reader_cost=0.0002 | ETA 08:28:50 2020-12-16 19:33:16 [INFO] [TRAIN] epoch=65, iter=23890/80000, loss=0.2271, lr=0.007267, batch_cost=0.5507, reader_cost=0.0001 | ETA 08:34:57 2020-12-16 19:33:21 [INFO] [TRAIN] epoch=65, iter=23900/80000, loss=0.4434, lr=0.007266, batch_cost=0.5507, reader_cost=0.0001 | ETA 08:34:56 2020-12-16 19:33:27 [INFO] [TRAIN] epoch=65, iter=23910/80000, loss=0.1890, lr=0.007265, batch_cost=0.5347, reader_cost=0.0001 | ETA 08:19:48 2020-12-16 19:33:32 [INFO] [TRAIN] epoch=65, iter=23920/80000, loss=0.2296, lr=0.007264, batch_cost=0.5329, reader_cost=0.0001 | ETA 08:18:03 2020-12-16 19:33:38 [INFO] [TRAIN] epoch=65, iter=23930/80000, loss=0.2107, lr=0.007262, batch_cost=0.5595, reader_cost=0.0004 | ETA 08:42:53 2020-12-16 19:33:43 [INFO] [TRAIN] epoch=65, iter=23940/80000, loss=0.1695, lr=0.007261, batch_cost=0.5663, reader_cost=0.0001 | ETA 08:49:08 2020-12-16 19:33:49 [INFO] [TRAIN] epoch=65, iter=23950/80000, loss=0.2167, lr=0.007260, batch_cost=0.5491, reader_cost=0.0001 | ETA 08:32:58 2020-12-16 19:33:54 [INFO] [TRAIN] epoch=65, iter=23960/80000, loss=0.2657, lr=0.007259, batch_cost=0.5429, reader_cost=0.0001 | ETA 08:27:05 2020-12-16 19:34:00 [INFO] [TRAIN] epoch=65, iter=23970/80000, loss=0.2413, lr=0.007258, batch_cost=0.5518, reader_cost=0.0001 | ETA 08:35:15 2020-12-16 19:34:05 [INFO] [TRAIN] epoch=65, iter=23980/80000, loss=0.2038, lr=0.007257, batch_cost=0.5629, reader_cost=0.0001 | ETA 08:45:32 2020-12-16 19:34:11 [INFO] [TRAIN] epoch=65, iter=23990/80000, loss=0.1687, lr=0.007255, batch_cost=0.5465, reader_cost=0.0001 | ETA 08:30:11 2020-12-16 19:34:16 [INFO] [TRAIN] epoch=65, iter=24000/80000, loss=0.1501, lr=0.007254, batch_cost=0.5522, reader_cost=0.0001 | ETA 08:35:25 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 19:34:16 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 19:34:50 [INFO] [EVAL] #Images=500 mIoU=0.7494 Acc=0.9542 Kappa=0.9405 2020-12-16 19:34:50 [INFO] [EVAL] Class IoU: [0.9771 0.8189 0.9132 0.4905 0.5654 0.5561 0.6744 0.7568 0.9161 0.6077 0.9411 0.7991 0.592 0.9401 0.741 0.8395 0.7512 0.5981 0.7594] 2020-12-16 19:34:50 [INFO] [EVAL] Class Acc: [0.9911 0.8944 0.9482 0.873 0.7474 0.7846 0.802 0.8888 0.9421 0.8964 0.963 0.8684 0.7845 0.9675 0.8111 0.9122 0.8506 0.8384 0.8497] 2020-12-16 19:34:56 [INFO] [EVAL] The model with the best validation mIoU (0.7494) was saved at iter 24000. 2020-12-16 19:35:02 [INFO] [TRAIN] epoch=65, iter=24010/80000, loss=0.2796, lr=0.007253, batch_cost=0.5395, reader_cost=0.0002 | ETA 08:23:26 2020-12-16 19:35:07 [INFO] [TRAIN] epoch=65, iter=24020/80000, loss=0.1671, lr=0.007252, batch_cost=0.5499, reader_cost=0.0001 | ETA 08:33:01 2020-12-16 19:35:13 [INFO] [TRAIN] epoch=65, iter=24030/80000, loss=0.1258, lr=0.007251, batch_cost=0.5520, reader_cost=0.0001 | ETA 08:34:56 2020-12-16 19:35:18 [INFO] [TRAIN] epoch=65, iter=24040/80000, loss=0.2052, lr=0.007250, batch_cost=0.5588, reader_cost=0.0001 | ETA 08:41:11 2020-12-16 19:35:24 [INFO] [TRAIN] epoch=65, iter=24050/80000, loss=0.2662, lr=0.007248, batch_cost=0.5527, reader_cost=0.0001 | ETA 08:35:23 2020-12-16 19:35:29 [INFO] [TRAIN] epoch=65, iter=24060/80000, loss=0.2369, lr=0.007247, batch_cost=0.5432, reader_cost=0.0001 | ETA 08:26:28 2020-12-16 19:35:35 [INFO] [TRAIN] epoch=65, iter=24070/80000, loss=0.1741, lr=0.007246, batch_cost=0.5476, reader_cost=0.0001 | ETA 08:30:29 2020-12-16 19:35:40 [INFO] [TRAIN] epoch=65, iter=24080/80000, loss=0.2300, lr=0.007245, batch_cost=0.5449, reader_cost=0.0001 | ETA 08:27:51 2020-12-16 19:35:46 [INFO] [TRAIN] epoch=65, iter=24090/80000, loss=0.1914, lr=0.007244, batch_cost=0.5447, reader_cost=0.0001 | ETA 08:27:35 2020-12-16 19:35:51 [INFO] [TRAIN] epoch=65, iter=24100/80000, loss=0.2248, lr=0.007243, batch_cost=0.5587, reader_cost=0.0001 | ETA 08:40:28 2020-12-16 19:35:57 [INFO] [TRAIN] epoch=65, iter=24110/80000, loss=0.2183, lr=0.007241, batch_cost=0.5473, reader_cost=0.0001 | ETA 08:29:46 2020-12-16 19:36:02 [INFO] [TRAIN] epoch=65, iter=24120/80000, loss=0.1684, lr=0.007240, batch_cost=0.5568, reader_cost=0.0001 | ETA 08:38:32 2020-12-16 19:36:08 [INFO] [TRAIN] epoch=65, iter=24130/80000, loss=0.1973, lr=0.007239, batch_cost=0.5685, reader_cost=0.0001 | ETA 08:49:20 2020-12-16 19:36:13 [INFO] [TRAIN] epoch=65, iter=24140/80000, loss=0.1383, lr=0.007238, batch_cost=0.5502, reader_cost=0.0001 | ETA 08:32:11 2020-12-16 19:36:19 [INFO] [TRAIN] epoch=65, iter=24150/80000, loss=0.2575, lr=0.007237, batch_cost=0.5375, reader_cost=0.0001 | ETA 08:20:17 2020-12-16 19:36:24 [INFO] [TRAIN] epoch=65, iter=24160/80000, loss=0.2053, lr=0.007236, batch_cost=0.5441, reader_cost=0.0001 | ETA 08:26:22 2020-12-16 19:36:30 [INFO] [TRAIN] epoch=65, iter=24170/80000, loss=0.1929, lr=0.007234, batch_cost=0.5538, reader_cost=0.0002 | ETA 08:35:19 2020-12-16 19:36:35 [INFO] [TRAIN] epoch=65, iter=24180/80000, loss=0.1795, lr=0.007233, batch_cost=0.5250, reader_cost=0.0001 | ETA 08:08:26 2020-12-16 19:36:41 [INFO] [TRAIN] epoch=66, iter=24190/80000, loss=0.2304, lr=0.007232, batch_cost=0.6358, reader_cost=0.0572 | ETA 09:51:22 2020-12-16 19:36:47 [INFO] [TRAIN] epoch=66, iter=24200/80000, loss=0.3108, lr=0.007231, batch_cost=0.5663, reader_cost=0.0001 | ETA 08:46:41 2020-12-16 19:36:53 [INFO] [TRAIN] epoch=66, iter=24210/80000, loss=0.2109, lr=0.007230, batch_cost=0.5599, reader_cost=0.0001 | ETA 08:40:36 2020-12-16 19:36:58 [INFO] [TRAIN] epoch=66, iter=24220/80000, loss=0.1686, lr=0.007229, batch_cost=0.5551, reader_cost=0.0001 | ETA 08:36:03 2020-12-16 19:37:04 [INFO] [TRAIN] epoch=66, iter=24230/80000, loss=0.1717, lr=0.007227, batch_cost=0.5661, reader_cost=0.0001 | ETA 08:46:13 2020-12-16 19:37:09 [INFO] [TRAIN] epoch=66, iter=24240/80000, loss=0.1674, lr=0.007226, batch_cost=0.5551, reader_cost=0.0001 | ETA 08:35:54 2020-12-16 19:37:15 [INFO] [TRAIN] epoch=66, iter=24250/80000, loss=0.2123, lr=0.007225, batch_cost=0.5551, reader_cost=0.0001 | ETA 08:35:46 2020-12-16 19:37:20 [INFO] [TRAIN] epoch=66, iter=24260/80000, loss=0.2153, lr=0.007224, batch_cost=0.5490, reader_cost=0.0002 | ETA 08:29:58 2020-12-16 19:37:26 [INFO] [TRAIN] epoch=66, iter=24270/80000, loss=0.2674, lr=0.007223, batch_cost=0.5408, reader_cost=0.0001 | ETA 08:22:19 2020-12-16 19:37:31 [INFO] [TRAIN] epoch=66, iter=24280/80000, loss=0.1657, lr=0.007222, batch_cost=0.5590, reader_cost=0.0001 | ETA 08:39:07 2020-12-16 19:37:37 [INFO] [TRAIN] epoch=66, iter=24290/80000, loss=0.1767, lr=0.007220, batch_cost=0.5442, reader_cost=0.0001 | ETA 08:25:15 2020-12-16 19:37:42 [INFO] [TRAIN] epoch=66, iter=24300/80000, loss=0.2036, lr=0.007219, batch_cost=0.5564, reader_cost=0.0003 | ETA 08:36:29 2020-12-16 19:37:48 [INFO] [TRAIN] epoch=66, iter=24310/80000, loss=0.2298, lr=0.007218, batch_cost=0.5599, reader_cost=0.0001 | ETA 08:39:41 2020-12-16 19:37:53 [INFO] [TRAIN] epoch=66, iter=24320/80000, loss=0.2070, lr=0.007217, batch_cost=0.5490, reader_cost=0.0001 | ETA 08:29:26 2020-12-16 19:37:59 [INFO] [TRAIN] epoch=66, iter=24330/80000, loss=0.2231, lr=0.007216, batch_cost=0.5467, reader_cost=0.0003 | ETA 08:27:16 2020-12-16 19:38:04 [INFO] [TRAIN] epoch=66, iter=24340/80000, loss=0.2153, lr=0.007215, batch_cost=0.5388, reader_cost=0.0002 | ETA 08:19:50 2020-12-16 19:38:10 [INFO] [TRAIN] epoch=66, iter=24350/80000, loss=0.2756, lr=0.007213, batch_cost=0.5441, reader_cost=0.0002 | ETA 08:24:39 2020-12-16 19:38:15 [INFO] [TRAIN] epoch=66, iter=24360/80000, loss=0.1775, lr=0.007212, batch_cost=0.5662, reader_cost=0.0001 | ETA 08:45:04 2020-12-16 19:38:21 [INFO] [TRAIN] epoch=66, iter=24370/80000, loss=0.2426, lr=0.007211, batch_cost=0.5539, reader_cost=0.0002 | ETA 08:33:31 2020-12-16 19:38:26 [INFO] [TRAIN] epoch=66, iter=24380/80000, loss=0.1666, lr=0.007210, batch_cost=0.5448, reader_cost=0.0001 | ETA 08:25:00 2020-12-16 19:38:32 [INFO] [TRAIN] epoch=66, iter=24390/80000, loss=0.2133, lr=0.007209, batch_cost=0.5494, reader_cost=0.0001 | ETA 08:29:10 2020-12-16 19:38:38 [INFO] [TRAIN] epoch=66, iter=24400/80000, loss=0.1799, lr=0.007208, batch_cost=0.5863, reader_cost=0.0001 | ETA 09:03:20 2020-12-16 19:38:43 [INFO] [TRAIN] epoch=66, iter=24410/80000, loss=0.2358, lr=0.007206, batch_cost=0.5348, reader_cost=0.0001 | ETA 08:15:27 2020-12-16 19:38:49 [INFO] [TRAIN] epoch=66, iter=24420/80000, loss=0.2254, lr=0.007205, batch_cost=0.5628, reader_cost=0.0002 | ETA 08:41:18 2020-12-16 19:38:54 [INFO] [TRAIN] epoch=66, iter=24430/80000, loss=0.1795, lr=0.007204, batch_cost=0.5564, reader_cost=0.0003 | ETA 08:35:19 2020-12-16 19:39:00 [INFO] [TRAIN] epoch=66, iter=24440/80000, loss=0.1777, lr=0.007203, batch_cost=0.5464, reader_cost=0.0001 | ETA 08:25:59 2020-12-16 19:39:05 [INFO] [TRAIN] epoch=66, iter=24450/80000, loss=0.2637, lr=0.007202, batch_cost=0.5394, reader_cost=0.0001 | ETA 08:19:25 2020-12-16 19:39:11 [INFO] [TRAIN] epoch=66, iter=24460/80000, loss=0.3000, lr=0.007201, batch_cost=0.5581, reader_cost=0.0001 | ETA 08:36:37 2020-12-16 19:39:16 [INFO] [TRAIN] epoch=66, iter=24470/80000, loss=0.1740, lr=0.007199, batch_cost=0.5499, reader_cost=0.0003 | ETA 08:28:58 2020-12-16 19:39:22 [INFO] [TRAIN] epoch=66, iter=24480/80000, loss=0.1643, lr=0.007198, batch_cost=0.5637, reader_cost=0.0001 | ETA 08:41:37 2020-12-16 19:39:27 [INFO] [TRAIN] epoch=66, iter=24490/80000, loss=0.1971, lr=0.007197, batch_cost=0.5483, reader_cost=0.0001 | ETA 08:27:15 2020-12-16 19:39:33 [INFO] [TRAIN] epoch=66, iter=24500/80000, loss=0.1799, lr=0.007196, batch_cost=0.5390, reader_cost=0.0001 | ETA 08:18:36 2020-12-16 19:39:38 [INFO] [TRAIN] epoch=66, iter=24510/80000, loss=0.1912, lr=0.007195, batch_cost=0.5334, reader_cost=0.0001 | ETA 08:13:16 2020-12-16 19:39:44 [INFO] [TRAIN] epoch=66, iter=24520/80000, loss=0.2101, lr=0.007194, batch_cost=0.5475, reader_cost=0.0001 | ETA 08:26:14 2020-12-16 19:39:49 [INFO] [TRAIN] epoch=66, iter=24530/80000, loss=0.2367, lr=0.007192, batch_cost=0.5454, reader_cost=0.0001 | ETA 08:24:12 2020-12-16 19:39:55 [INFO] [TRAIN] epoch=66, iter=24540/80000, loss=0.2205, lr=0.007191, batch_cost=0.5483, reader_cost=0.0001 | ETA 08:26:50 2020-12-16 19:40:00 [INFO] [TRAIN] epoch=66, iter=24550/80000, loss=0.1896, lr=0.007190, batch_cost=0.5243, reader_cost=0.0002 | ETA 08:04:34 2020-12-16 19:40:06 [INFO] [TRAIN] epoch=67, iter=24560/80000, loss=0.2148, lr=0.007189, batch_cost=0.6204, reader_cost=0.0668 | ETA 09:33:15 2020-12-16 19:40:12 [INFO] [TRAIN] epoch=67, iter=24570/80000, loss=0.2247, lr=0.007188, batch_cost=0.5548, reader_cost=0.0002 | ETA 08:32:33 2020-12-16 19:40:17 [INFO] [TRAIN] epoch=67, iter=24580/80000, loss=0.2479, lr=0.007187, batch_cost=0.5582, reader_cost=0.0003 | ETA 08:35:37 2020-12-16 19:40:22 [INFO] [TRAIN] epoch=67, iter=24590/80000, loss=0.2402, lr=0.007185, batch_cost=0.5352, reader_cost=0.0001 | ETA 08:14:16 2020-12-16 19:40:28 [INFO] [TRAIN] epoch=67, iter=24600/80000, loss=0.2229, lr=0.007184, batch_cost=0.5507, reader_cost=0.0001 | ETA 08:28:27 2020-12-16 19:40:34 [INFO] [TRAIN] epoch=67, iter=24610/80000, loss=0.2335, lr=0.007183, batch_cost=0.5698, reader_cost=0.0001 | ETA 08:46:03 2020-12-16 19:40:39 [INFO] [TRAIN] epoch=67, iter=24620/80000, loss=0.1782, lr=0.007182, batch_cost=0.5414, reader_cost=0.0002 | ETA 08:19:43 2020-12-16 19:40:45 [INFO] [TRAIN] epoch=67, iter=24630/80000, loss=0.2785, lr=0.007181, batch_cost=0.5482, reader_cost=0.0001 | ETA 08:25:55 2020-12-16 19:40:50 [INFO] [TRAIN] epoch=67, iter=24640/80000, loss=0.1644, lr=0.007180, batch_cost=0.5496, reader_cost=0.0001 | ETA 08:27:07 2020-12-16 19:40:56 [INFO] [TRAIN] epoch=67, iter=24650/80000, loss=0.2352, lr=0.007178, batch_cost=0.5486, reader_cost=0.0003 | ETA 08:26:06 2020-12-16 19:41:01 [INFO] [TRAIN] epoch=67, iter=24660/80000, loss=0.2361, lr=0.007177, batch_cost=0.5503, reader_cost=0.0001 | ETA 08:27:35 2020-12-16 19:41:07 [INFO] [TRAIN] epoch=67, iter=24670/80000, loss=0.1955, lr=0.007176, batch_cost=0.5550, reader_cost=0.0001 | ETA 08:31:48 2020-12-16 19:41:12 [INFO] [TRAIN] epoch=67, iter=24680/80000, loss=0.1734, lr=0.007175, batch_cost=0.5567, reader_cost=0.0001 | ETA 08:33:18 2020-12-16 19:41:18 [INFO] [TRAIN] epoch=67, iter=24690/80000, loss=0.2176, lr=0.007174, batch_cost=0.5454, reader_cost=0.0001 | ETA 08:22:47 2020-12-16 19:41:23 [INFO] [TRAIN] epoch=67, iter=24700/80000, loss=0.1640, lr=0.007173, batch_cost=0.5461, reader_cost=0.0001 | ETA 08:23:20 2020-12-16 19:41:28 [INFO] [TRAIN] epoch=67, iter=24710/80000, loss=0.2041, lr=0.007171, batch_cost=0.5412, reader_cost=0.0002 | ETA 08:18:42 2020-12-16 19:41:34 [INFO] [TRAIN] epoch=67, iter=24720/80000, loss=0.3075, lr=0.007170, batch_cost=0.5374, reader_cost=0.0001 | ETA 08:15:04 2020-12-16 19:41:39 [INFO] [TRAIN] epoch=67, iter=24730/80000, loss=0.1639, lr=0.007169, batch_cost=0.5328, reader_cost=0.0002 | ETA 08:10:48 2020-12-16 19:41:45 [INFO] [TRAIN] epoch=67, iter=24740/80000, loss=0.2334, lr=0.007168, batch_cost=0.5528, reader_cost=0.0001 | ETA 08:29:05 2020-12-16 19:41:50 [INFO] [TRAIN] epoch=67, iter=24750/80000, loss=0.2909, lr=0.007167, batch_cost=0.5401, reader_cost=0.0001 | ETA 08:17:22 2020-12-16 19:41:56 [INFO] [TRAIN] epoch=67, iter=24760/80000, loss=0.1808, lr=0.007166, batch_cost=0.5388, reader_cost=0.0001 | ETA 08:16:05 2020-12-16 19:42:01 [INFO] [TRAIN] epoch=67, iter=24770/80000, loss=0.1964, lr=0.007164, batch_cost=0.5512, reader_cost=0.0003 | ETA 08:27:22 2020-12-16 19:42:07 [INFO] [TRAIN] epoch=67, iter=24780/80000, loss=0.1802, lr=0.007163, batch_cost=0.5573, reader_cost=0.0001 | ETA 08:32:53 2020-12-16 19:42:12 [INFO] [TRAIN] epoch=67, iter=24790/80000, loss=0.1822, lr=0.007162, batch_cost=0.5358, reader_cost=0.0001 | ETA 08:12:59 2020-12-16 19:42:17 [INFO] [TRAIN] epoch=67, iter=24800/80000, loss=0.1957, lr=0.007161, batch_cost=0.5470, reader_cost=0.0001 | ETA 08:23:13 2020-12-16 19:42:23 [INFO] [TRAIN] epoch=67, iter=24810/80000, loss=0.2559, lr=0.007160, batch_cost=0.5336, reader_cost=0.0001 | ETA 08:10:50 2020-12-16 19:42:28 [INFO] [TRAIN] epoch=67, iter=24820/80000, loss=0.2044, lr=0.007159, batch_cost=0.5468, reader_cost=0.0001 | ETA 08:22:52 2020-12-16 19:42:34 [INFO] [TRAIN] epoch=67, iter=24830/80000, loss=0.1621, lr=0.007157, batch_cost=0.5521, reader_cost=0.0001 | ETA 08:27:39 2020-12-16 19:42:39 [INFO] [TRAIN] epoch=67, iter=24840/80000, loss=0.2369, lr=0.007156, batch_cost=0.5620, reader_cost=0.0002 | ETA 08:36:42 2020-12-16 19:42:45 [INFO] [TRAIN] epoch=67, iter=24850/80000, loss=0.2184, lr=0.007155, batch_cost=0.5537, reader_cost=0.0001 | ETA 08:28:56 2020-12-16 19:42:50 [INFO] [TRAIN] epoch=67, iter=24860/80000, loss=0.1714, lr=0.007154, batch_cost=0.5531, reader_cost=0.0001 | ETA 08:28:17 2020-12-16 19:42:56 [INFO] [TRAIN] epoch=67, iter=24870/80000, loss=0.1830, lr=0.007153, batch_cost=0.5677, reader_cost=0.0001 | ETA 08:41:37 2020-12-16 19:43:01 [INFO] [TRAIN] epoch=67, iter=24880/80000, loss=0.2467, lr=0.007152, batch_cost=0.5372, reader_cost=0.0001 | ETA 08:13:31 2020-12-16 19:43:07 [INFO] [TRAIN] epoch=67, iter=24890/80000, loss=0.3112, lr=0.007150, batch_cost=0.5449, reader_cost=0.0001 | ETA 08:20:28 2020-12-16 19:43:13 [INFO] [TRAIN] epoch=67, iter=24900/80000, loss=0.2471, lr=0.007149, batch_cost=0.5583, reader_cost=0.0002 | ETA 08:32:41 2020-12-16 19:43:18 [INFO] [TRAIN] epoch=67, iter=24910/80000, loss=0.2101, lr=0.007148, batch_cost=0.5467, reader_cost=0.0002 | ETA 08:21:59 2020-12-16 19:43:23 [INFO] [TRAIN] epoch=67, iter=24920/80000, loss=0.1535, lr=0.007147, batch_cost=0.5344, reader_cost=0.0012 | ETA 08:10:36 2020-12-16 19:43:29 [INFO] [TRAIN] epoch=68, iter=24930/80000, loss=0.2598, lr=0.007146, batch_cost=0.5796, reader_cost=0.0531 | ETA 08:51:58 2020-12-16 19:43:35 [INFO] [TRAIN] epoch=68, iter=24940/80000, loss=0.2026, lr=0.007145, batch_cost=0.5808, reader_cost=0.0015 | ETA 08:53:01 2020-12-16 19:43:41 [INFO] [TRAIN] epoch=68, iter=24950/80000, loss=0.1705, lr=0.007143, batch_cost=0.5589, reader_cost=0.0001 | ETA 08:32:48 2020-12-16 19:43:46 [INFO] [TRAIN] epoch=68, iter=24960/80000, loss=0.2109, lr=0.007142, batch_cost=0.5468, reader_cost=0.0001 | ETA 08:21:35 2020-12-16 19:43:52 [INFO] [TRAIN] epoch=68, iter=24970/80000, loss=0.2018, lr=0.007141, batch_cost=0.5660, reader_cost=0.0001 | ETA 08:39:05 2020-12-16 19:43:57 [INFO] [TRAIN] epoch=68, iter=24980/80000, loss=0.2798, lr=0.007140, batch_cost=0.5590, reader_cost=0.0001 | ETA 08:32:35 2020-12-16 19:44:03 [INFO] [TRAIN] epoch=68, iter=24990/80000, loss=0.3199, lr=0.007139, batch_cost=0.5421, reader_cost=0.0001 | ETA 08:17:03 2020-12-16 19:44:08 [INFO] [TRAIN] epoch=68, iter=25000/80000, loss=0.1613, lr=0.007138, batch_cost=0.5590, reader_cost=0.0001 | ETA 08:32:26 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 19:44:08 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 19:44:43 [INFO] [EVAL] #Images=500 mIoU=0.7450 Acc=0.9530 Kappa=0.9390 2020-12-16 19:44:43 [INFO] [EVAL] Class IoU: [0.9792 0.8335 0.9135 0.4279 0.5863 0.5699 0.6772 0.7515 0.9044 0.5396 0.9439 0.7997 0.6137 0.9406 0.8214 0.8213 0.683 0.5944 0.7535] 2020-12-16 19:44:43 [INFO] [EVAL] Class Acc: [0.9917 0.8912 0.945 0.8286 0.7433 0.7671 0.8168 0.9108 0.9548 0.6202 0.9725 0.8836 0.7726 0.975 0.9035 0.8897 0.7534 0.8178 0.8411] 2020-12-16 19:44:47 [INFO] [EVAL] The model with the best validation mIoU (0.7494) was saved at iter 24000. 2020-12-16 19:44:52 [INFO] [TRAIN] epoch=68, iter=25010/80000, loss=0.2006, lr=0.007136, batch_cost=0.5339, reader_cost=0.0003 | ETA 08:09:19 2020-12-16 19:44:58 [INFO] [TRAIN] epoch=68, iter=25020/80000, loss=0.2292, lr=0.007135, batch_cost=0.5617, reader_cost=0.0001 | ETA 08:34:44 2020-12-16 19:45:04 [INFO] [TRAIN] epoch=68, iter=25030/80000, loss=0.2077, lr=0.007134, batch_cost=0.5572, reader_cost=0.0001 | ETA 08:30:31 2020-12-16 19:45:09 [INFO] [TRAIN] epoch=68, iter=25040/80000, loss=0.2737, lr=0.007133, batch_cost=0.5512, reader_cost=0.0002 | ETA 08:24:55 2020-12-16 19:45:14 [INFO] [TRAIN] epoch=68, iter=25050/80000, loss=0.2037, lr=0.007132, batch_cost=0.5406, reader_cost=0.0001 | ETA 08:15:03 2020-12-16 19:45:20 [INFO] [TRAIN] epoch=68, iter=25060/80000, loss=0.1792, lr=0.007131, batch_cost=0.5491, reader_cost=0.0001 | ETA 08:22:45 2020-12-16 19:45:25 [INFO] [TRAIN] epoch=68, iter=25070/80000, loss=0.1811, lr=0.007129, batch_cost=0.5491, reader_cost=0.0001 | ETA 08:22:41 2020-12-16 19:45:31 [INFO] [TRAIN] epoch=68, iter=25080/80000, loss=0.2019, lr=0.007128, batch_cost=0.5430, reader_cost=0.0001 | ETA 08:17:00 2020-12-16 19:45:36 [INFO] [TRAIN] epoch=68, iter=25090/80000, loss=0.2196, lr=0.007127, batch_cost=0.5463, reader_cost=0.0001 | ETA 08:19:58 2020-12-16 19:45:42 [INFO] [TRAIN] epoch=68, iter=25100/80000, loss=0.2155, lr=0.007126, batch_cost=0.5310, reader_cost=0.0001 | ETA 08:05:52 2020-12-16 19:45:47 [INFO] [TRAIN] epoch=68, iter=25110/80000, loss=0.1883, lr=0.007125, batch_cost=0.5489, reader_cost=0.0001 | ETA 08:22:10 2020-12-16 19:45:53 [INFO] [TRAIN] epoch=68, iter=25120/80000, loss=0.3087, lr=0.007124, batch_cost=0.5492, reader_cost=0.0002 | ETA 08:22:20 2020-12-16 19:45:58 [INFO] [TRAIN] epoch=68, iter=25130/80000, loss=0.1923, lr=0.007122, batch_cost=0.5308, reader_cost=0.0001 | ETA 08:05:24 2020-12-16 19:46:04 [INFO] [TRAIN] epoch=68, iter=25140/80000, loss=0.2495, lr=0.007121, batch_cost=0.5572, reader_cost=0.0001 | ETA 08:29:29 2020-12-16 19:46:09 [INFO] [TRAIN] epoch=68, iter=25150/80000, loss=0.2080, lr=0.007120, batch_cost=0.5537, reader_cost=0.0001 | ETA 08:26:11 2020-12-16 19:46:14 [INFO] [TRAIN] epoch=68, iter=25160/80000, loss=0.2215, lr=0.007119, batch_cost=0.5401, reader_cost=0.0001 | ETA 08:13:39 2020-12-16 19:46:20 [INFO] [TRAIN] epoch=68, iter=25170/80000, loss=0.3075, lr=0.007118, batch_cost=0.5463, reader_cost=0.0001 | ETA 08:19:12 2020-12-16 19:46:25 [INFO] [TRAIN] epoch=68, iter=25180/80000, loss=0.2142, lr=0.007117, batch_cost=0.5516, reader_cost=0.0001 | ETA 08:23:59 2020-12-16 19:46:31 [INFO] [TRAIN] epoch=68, iter=25190/80000, loss=0.2467, lr=0.007115, batch_cost=0.5514, reader_cost=0.0001 | ETA 08:23:44 2020-12-16 19:46:36 [INFO] [TRAIN] epoch=68, iter=25200/80000, loss=0.1860, lr=0.007114, batch_cost=0.5423, reader_cost=0.0017 | ETA 08:15:16 2020-12-16 19:46:42 [INFO] [TRAIN] epoch=68, iter=25210/80000, loss=0.1823, lr=0.007113, batch_cost=0.5519, reader_cost=0.0001 | ETA 08:24:00 2020-12-16 19:46:47 [INFO] [TRAIN] epoch=68, iter=25220/80000, loss=0.1964, lr=0.007112, batch_cost=0.5537, reader_cost=0.0001 | ETA 08:25:30 2020-12-16 19:46:53 [INFO] [TRAIN] epoch=68, iter=25230/80000, loss=0.1770, lr=0.007111, batch_cost=0.5632, reader_cost=0.0001 | ETA 08:34:04 2020-12-16 19:46:59 [INFO] [TRAIN] epoch=68, iter=25240/80000, loss=0.1932, lr=0.007110, batch_cost=0.5570, reader_cost=0.0002 | ETA 08:28:20 2020-12-16 19:47:04 [INFO] [TRAIN] epoch=68, iter=25250/80000, loss=0.2101, lr=0.007108, batch_cost=0.5574, reader_cost=0.0001 | ETA 08:28:35 2020-12-16 19:47:10 [INFO] [TRAIN] epoch=68, iter=25260/80000, loss=0.2293, lr=0.007107, batch_cost=0.5514, reader_cost=0.0001 | ETA 08:23:04 2020-12-16 19:47:15 [INFO] [TRAIN] epoch=68, iter=25270/80000, loss=0.1850, lr=0.007106, batch_cost=0.5551, reader_cost=0.0001 | ETA 08:26:18 2020-12-16 19:47:21 [INFO] [TRAIN] epoch=68, iter=25280/80000, loss=0.2160, lr=0.007105, batch_cost=0.5700, reader_cost=0.0001 | ETA 08:39:53 2020-12-16 19:47:26 [INFO] [TRAIN] epoch=68, iter=25290/80000, loss=0.3152, lr=0.007104, batch_cost=0.5442, reader_cost=0.0001 | ETA 08:16:13 2020-12-16 19:47:32 [INFO] [TRAIN] epoch=69, iter=25300/80000, loss=0.1698, lr=0.007103, batch_cost=0.5799, reader_cost=0.0582 | ETA 08:48:43 2020-12-16 19:47:38 [INFO] [TRAIN] epoch=69, iter=25310/80000, loss=0.2412, lr=0.007101, batch_cost=0.5654, reader_cost=0.0001 | ETA 08:35:23 2020-12-16 19:47:44 [INFO] [TRAIN] epoch=69, iter=25320/80000, loss=0.2801, lr=0.007100, batch_cost=0.5668, reader_cost=0.0001 | ETA 08:36:34 2020-12-16 19:47:49 [INFO] [TRAIN] epoch=69, iter=25330/80000, loss=0.1605, lr=0.007099, batch_cost=0.5472, reader_cost=0.0001 | ETA 08:18:34 2020-12-16 19:47:55 [INFO] [TRAIN] epoch=69, iter=25340/80000, loss=0.2452, lr=0.007098, batch_cost=0.5535, reader_cost=0.0001 | ETA 08:24:16 2020-12-16 19:48:00 [INFO] [TRAIN] epoch=69, iter=25350/80000, loss=0.2627, lr=0.007097, batch_cost=0.5504, reader_cost=0.0001 | ETA 08:21:18 2020-12-16 19:48:05 [INFO] [TRAIN] epoch=69, iter=25360/80000, loss=0.2697, lr=0.007096, batch_cost=0.5347, reader_cost=0.0001 | ETA 08:06:56 2020-12-16 19:48:11 [INFO] [TRAIN] epoch=69, iter=25370/80000, loss=0.1705, lr=0.007094, batch_cost=0.5448, reader_cost=0.0001 | ETA 08:15:59 2020-12-16 19:48:16 [INFO] [TRAIN] epoch=69, iter=25380/80000, loss=0.1856, lr=0.007093, batch_cost=0.5478, reader_cost=0.0001 | ETA 08:18:39 2020-12-16 19:48:22 [INFO] [TRAIN] epoch=69, iter=25390/80000, loss=0.2080, lr=0.007092, batch_cost=0.5406, reader_cost=0.0001 | ETA 08:12:04 2020-12-16 19:48:27 [INFO] [TRAIN] epoch=69, iter=25400/80000, loss=0.1765, lr=0.007091, batch_cost=0.5573, reader_cost=0.0001 | ETA 08:27:08 2020-12-16 19:48:33 [INFO] [TRAIN] epoch=69, iter=25410/80000, loss=0.2326, lr=0.007090, batch_cost=0.5390, reader_cost=0.0001 | ETA 08:10:22 2020-12-16 19:48:38 [INFO] [TRAIN] epoch=69, iter=25420/80000, loss=0.1756, lr=0.007089, batch_cost=0.5513, reader_cost=0.0001 | ETA 08:21:32 2020-12-16 19:48:44 [INFO] [TRAIN] epoch=69, iter=25430/80000, loss=0.1970, lr=0.007087, batch_cost=0.5503, reader_cost=0.0001 | ETA 08:20:27 2020-12-16 19:48:49 [INFO] [TRAIN] epoch=69, iter=25440/80000, loss=0.1493, lr=0.007086, batch_cost=0.5457, reader_cost=0.0001 | ETA 08:16:13 2020-12-16 19:48:55 [INFO] [TRAIN] epoch=69, iter=25450/80000, loss=0.1927, lr=0.007085, batch_cost=0.5438, reader_cost=0.0001 | ETA 08:14:22 2020-12-16 19:49:00 [INFO] [TRAIN] epoch=69, iter=25460/80000, loss=0.2277, lr=0.007084, batch_cost=0.5499, reader_cost=0.0004 | ETA 08:19:51 2020-12-16 19:49:06 [INFO] [TRAIN] epoch=69, iter=25470/80000, loss=0.3709, lr=0.007083, batch_cost=0.5475, reader_cost=0.0001 | ETA 08:17:35 2020-12-16 19:49:11 [INFO] [TRAIN] epoch=69, iter=25480/80000, loss=0.3001, lr=0.007082, batch_cost=0.5400, reader_cost=0.0001 | ETA 08:10:43 2020-12-16 19:49:16 [INFO] [TRAIN] epoch=69, iter=25490/80000, loss=0.2043, lr=0.007080, batch_cost=0.5455, reader_cost=0.0001 | ETA 08:15:36 2020-12-16 19:49:22 [INFO] [TRAIN] epoch=69, iter=25500/80000, loss=0.2222, lr=0.007079, batch_cost=0.5547, reader_cost=0.0001 | ETA 08:23:49 2020-12-16 19:49:28 [INFO] [TRAIN] epoch=69, iter=25510/80000, loss=0.1788, lr=0.007078, batch_cost=0.5504, reader_cost=0.0001 | ETA 08:19:49 2020-12-16 19:49:33 [INFO] [TRAIN] epoch=69, iter=25520/80000, loss=0.2126, lr=0.007077, batch_cost=0.5583, reader_cost=0.0001 | ETA 08:26:54 2020-12-16 19:49:39 [INFO] [TRAIN] epoch=69, iter=25530/80000, loss=0.2959, lr=0.007076, batch_cost=0.5538, reader_cost=0.0001 | ETA 08:22:44 2020-12-16 19:49:44 [INFO] [TRAIN] epoch=69, iter=25540/80000, loss=0.1417, lr=0.007075, batch_cost=0.5373, reader_cost=0.0001 | ETA 08:07:40 2020-12-16 19:49:49 [INFO] [TRAIN] epoch=69, iter=25550/80000, loss=0.2035, lr=0.007073, batch_cost=0.5499, reader_cost=0.0001 | ETA 08:19:01 2020-12-16 19:49:55 [INFO] [TRAIN] epoch=69, iter=25560/80000, loss=0.1792, lr=0.007072, batch_cost=0.5543, reader_cost=0.0001 | ETA 08:22:58 2020-12-16 19:50:00 [INFO] [TRAIN] epoch=69, iter=25570/80000, loss=0.1618, lr=0.007071, batch_cost=0.5436, reader_cost=0.0001 | ETA 08:13:09 2020-12-16 19:50:06 [INFO] [TRAIN] epoch=69, iter=25580/80000, loss=0.2058, lr=0.007070, batch_cost=0.5466, reader_cost=0.0001 | ETA 08:15:48 2020-12-16 19:50:11 [INFO] [TRAIN] epoch=69, iter=25590/80000, loss=0.1957, lr=0.007069, batch_cost=0.5536, reader_cost=0.0001 | ETA 08:22:02 2020-12-16 19:50:17 [INFO] [TRAIN] epoch=69, iter=25600/80000, loss=0.1590, lr=0.007067, batch_cost=0.5449, reader_cost=0.0001 | ETA 08:14:03 2020-12-16 19:50:22 [INFO] [TRAIN] epoch=69, iter=25610/80000, loss=0.1596, lr=0.007066, batch_cost=0.5421, reader_cost=0.0001 | ETA 08:11:23 2020-12-16 19:50:28 [INFO] [TRAIN] epoch=69, iter=25620/80000, loss=0.2575, lr=0.007065, batch_cost=0.5551, reader_cost=0.0001 | ETA 08:23:04 2020-12-16 19:50:33 [INFO] [TRAIN] epoch=69, iter=25630/80000, loss=0.2505, lr=0.007064, batch_cost=0.5337, reader_cost=0.0001 | ETA 08:03:38 2020-12-16 19:50:39 [INFO] [TRAIN] epoch=69, iter=25640/80000, loss=0.2995, lr=0.007063, batch_cost=0.5446, reader_cost=0.0001 | ETA 08:13:26 2020-12-16 19:50:44 [INFO] [TRAIN] epoch=69, iter=25650/80000, loss=0.1971, lr=0.007062, batch_cost=0.5440, reader_cost=0.0001 | ETA 08:12:45 2020-12-16 19:50:50 [INFO] [TRAIN] epoch=69, iter=25660/80000, loss=0.1790, lr=0.007060, batch_cost=0.5405, reader_cost=0.0001 | ETA 08:09:28 2020-12-16 19:50:55 [INFO] [TRAIN] epoch=70, iter=25670/80000, loss=0.1754, lr=0.007059, batch_cost=0.5681, reader_cost=0.0630 | ETA 08:34:22 2020-12-16 19:51:01 [INFO] [TRAIN] epoch=70, iter=25680/80000, loss=0.1942, lr=0.007058, batch_cost=0.5632, reader_cost=0.0002 | ETA 08:29:55 2020-12-16 19:51:06 [INFO] [TRAIN] epoch=70, iter=25690/80000, loss=0.1832, lr=0.007057, batch_cost=0.5514, reader_cost=0.0001 | ETA 08:19:08 2020-12-16 19:51:12 [INFO] [TRAIN] epoch=70, iter=25700/80000, loss=0.2470, lr=0.007056, batch_cost=0.5442, reader_cost=0.0001 | ETA 08:12:29 2020-12-16 19:51:17 [INFO] [TRAIN] epoch=70, iter=25710/80000, loss=0.1764, lr=0.007055, batch_cost=0.5571, reader_cost=0.0001 | ETA 08:24:06 2020-12-16 19:51:23 [INFO] [TRAIN] epoch=70, iter=25720/80000, loss=0.1731, lr=0.007053, batch_cost=0.5534, reader_cost=0.0001 | ETA 08:20:40 2020-12-16 19:51:28 [INFO] [TRAIN] epoch=70, iter=25730/80000, loss=0.2018, lr=0.007052, batch_cost=0.5464, reader_cost=0.0002 | ETA 08:14:11 2020-12-16 19:51:34 [INFO] [TRAIN] epoch=70, iter=25740/80000, loss=0.2447, lr=0.007051, batch_cost=0.5603, reader_cost=0.0001 | ETA 08:26:41 2020-12-16 19:51:39 [INFO] [TRAIN] epoch=70, iter=25750/80000, loss=0.2082, lr=0.007050, batch_cost=0.5399, reader_cost=0.0001 | ETA 08:08:09 2020-12-16 19:51:45 [INFO] [TRAIN] epoch=70, iter=25760/80000, loss=0.1758, lr=0.007049, batch_cost=0.5418, reader_cost=0.0001 | ETA 08:09:47 2020-12-16 19:51:50 [INFO] [TRAIN] epoch=70, iter=25770/80000, loss=0.2206, lr=0.007048, batch_cost=0.5484, reader_cost=0.0001 | ETA 08:15:41 2020-12-16 19:51:56 [INFO] [TRAIN] epoch=70, iter=25780/80000, loss=0.1767, lr=0.007046, batch_cost=0.5256, reader_cost=0.0001 | ETA 07:54:58 2020-12-16 19:52:01 [INFO] [TRAIN] epoch=70, iter=25790/80000, loss=0.1917, lr=0.007045, batch_cost=0.5438, reader_cost=0.0003 | ETA 08:11:19 2020-12-16 19:52:07 [INFO] [TRAIN] epoch=70, iter=25800/80000, loss=0.2673, lr=0.007044, batch_cost=0.5524, reader_cost=0.0002 | ETA 08:18:59 2020-12-16 19:52:12 [INFO] [TRAIN] epoch=70, iter=25810/80000, loss=0.2012, lr=0.007043, batch_cost=0.5382, reader_cost=0.0001 | ETA 08:06:02 2020-12-16 19:52:17 [INFO] [TRAIN] epoch=70, iter=25820/80000, loss=0.2222, lr=0.007042, batch_cost=0.5524, reader_cost=0.0001 | ETA 08:18:50 2020-12-16 19:52:23 [INFO] [TRAIN] epoch=70, iter=25830/80000, loss=0.2748, lr=0.007041, batch_cost=0.5474, reader_cost=0.0001 | ETA 08:14:11 2020-12-16 19:52:28 [INFO] [TRAIN] epoch=70, iter=25840/80000, loss=0.2195, lr=0.007039, batch_cost=0.5410, reader_cost=0.0001 | ETA 08:08:22 2020-12-16 19:52:34 [INFO] [TRAIN] epoch=70, iter=25850/80000, loss=0.1799, lr=0.007038, batch_cost=0.5600, reader_cost=0.0001 | ETA 08:25:21 2020-12-16 19:52:39 [INFO] [TRAIN] epoch=70, iter=25860/80000, loss=0.2615, lr=0.007037, batch_cost=0.5496, reader_cost=0.0001 | ETA 08:15:52 2020-12-16 19:52:45 [INFO] [TRAIN] epoch=70, iter=25870/80000, loss=0.1782, lr=0.007036, batch_cost=0.5476, reader_cost=0.0001 | ETA 08:14:01 2020-12-16 19:52:50 [INFO] [TRAIN] epoch=70, iter=25880/80000, loss=0.2785, lr=0.007035, batch_cost=0.5492, reader_cost=0.0001 | ETA 08:15:21 2020-12-16 19:52:56 [INFO] [TRAIN] epoch=70, iter=25890/80000, loss=0.2848, lr=0.007034, batch_cost=0.5565, reader_cost=0.0002 | ETA 08:21:52 2020-12-16 19:53:01 [INFO] [TRAIN] epoch=70, iter=25900/80000, loss=0.1483, lr=0.007032, batch_cost=0.5437, reader_cost=0.0001 | ETA 08:10:16 2020-12-16 19:53:07 [INFO] [TRAIN] epoch=70, iter=25910/80000, loss=0.2193, lr=0.007031, batch_cost=0.5417, reader_cost=0.0003 | ETA 08:08:21 2020-12-16 19:53:12 [INFO] [TRAIN] epoch=70, iter=25920/80000, loss=0.1903, lr=0.007030, batch_cost=0.5529, reader_cost=0.0001 | ETA 08:18:21 2020-12-16 19:53:18 [INFO] [TRAIN] epoch=70, iter=25930/80000, loss=0.1769, lr=0.007029, batch_cost=0.5528, reader_cost=0.0004 | ETA 08:18:07 2020-12-16 19:53:23 [INFO] [TRAIN] epoch=70, iter=25940/80000, loss=0.1749, lr=0.007028, batch_cost=0.5458, reader_cost=0.0002 | ETA 08:11:45 2020-12-16 19:53:29 [INFO] [TRAIN] epoch=70, iter=25950/80000, loss=0.1794, lr=0.007027, batch_cost=0.5531, reader_cost=0.0002 | ETA 08:18:17 2020-12-16 19:53:34 [INFO] [TRAIN] epoch=70, iter=25960/80000, loss=0.2590, lr=0.007025, batch_cost=0.5599, reader_cost=0.0002 | ETA 08:24:18 2020-12-16 19:53:40 [INFO] [TRAIN] epoch=70, iter=25970/80000, loss=0.1646, lr=0.007024, batch_cost=0.5439, reader_cost=0.0004 | ETA 08:09:45 2020-12-16 19:53:45 [INFO] [TRAIN] epoch=70, iter=25980/80000, loss=0.1740, lr=0.007023, batch_cost=0.5514, reader_cost=0.0001 | ETA 08:16:24 2020-12-16 19:53:51 [INFO] [TRAIN] epoch=70, iter=25990/80000, loss=0.1680, lr=0.007022, batch_cost=0.5454, reader_cost=0.0001 | ETA 08:10:54 2020-12-16 19:53:56 [INFO] [TRAIN] epoch=70, iter=26000/80000, loss=0.1482, lr=0.007021, batch_cost=0.5510, reader_cost=0.0001 | ETA 08:15:54 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 19:53:56 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 19:54:30 [INFO] [EVAL] #Images=500 mIoU=0.7556 Acc=0.9552 Kappa=0.9417 2020-12-16 19:54:30 [INFO] [EVAL] Class IoU: [0.978 0.829 0.9137 0.5146 0.5644 0.538 0.6779 0.7533 0.917 0.6531 0.9417 0.8002 0.6007 0.9376 0.7548 0.8323 0.7796 0.6117 0.7592] 2020-12-16 19:54:30 [INFO] [EVAL] Class Acc: [0.9882 0.9186 0.9488 0.8339 0.798 0.8 0.8126 0.8912 0.9418 0.8426 0.9712 0.8808 0.7623 0.9571 0.9475 0.9469 0.8976 0.8064 0.843 ] 2020-12-16 19:54:36 [INFO] [EVAL] The model with the best validation mIoU (0.7556) was saved at iter 26000. 2020-12-16 19:54:41 [INFO] [TRAIN] epoch=70, iter=26010/80000, loss=0.3930, lr=0.007020, batch_cost=0.5383, reader_cost=0.0002 | ETA 08:04:24 2020-12-16 19:54:47 [INFO] [TRAIN] epoch=70, iter=26020/80000, loss=0.2464, lr=0.007018, batch_cost=0.5486, reader_cost=0.0001 | ETA 08:13:33 2020-12-16 19:54:52 [INFO] [TRAIN] epoch=70, iter=26030/80000, loss=0.2611, lr=0.007017, batch_cost=0.5539, reader_cost=0.0003 | ETA 08:18:12 2020-12-16 19:54:57 [INFO] [TRAIN] epoch=70, iter=26040/80000, loss=0.2179, lr=0.007016, batch_cost=0.5077, reader_cost=0.0020 | ETA 07:36:35 2020-12-16 19:55:04 [INFO] [TRAIN] epoch=71, iter=26050/80000, loss=0.2074, lr=0.007015, batch_cost=0.6687, reader_cost=0.0412 | ETA 10:01:13 2020-12-16 19:55:10 [INFO] [TRAIN] epoch=71, iter=26060/80000, loss=0.2083, lr=0.007014, batch_cost=0.5744, reader_cost=0.0002 | ETA 08:36:24 2020-12-16 19:55:15 [INFO] [TRAIN] epoch=71, iter=26070/80000, loss=0.1694, lr=0.007013, batch_cost=0.5528, reader_cost=0.0003 | ETA 08:16:54 2020-12-16 19:55:21 [INFO] [TRAIN] epoch=71, iter=26080/80000, loss=0.2634, lr=0.007011, batch_cost=0.5625, reader_cost=0.0001 | ETA 08:25:29 2020-12-16 19:55:26 [INFO] [TRAIN] epoch=71, iter=26090/80000, loss=0.2226, lr=0.007010, batch_cost=0.5482, reader_cost=0.0001 | ETA 08:12:35 2020-12-16 19:55:32 [INFO] [TRAIN] epoch=71, iter=26100/80000, loss=0.1999, lr=0.007009, batch_cost=0.5509, reader_cost=0.0008 | ETA 08:14:53 2020-12-16 19:55:37 [INFO] [TRAIN] epoch=71, iter=26110/80000, loss=0.1749, lr=0.007008, batch_cost=0.5341, reader_cost=0.0001 | ETA 07:59:43 2020-12-16 19:55:43 [INFO] [TRAIN] epoch=71, iter=26120/80000, loss=0.2704, lr=0.007007, batch_cost=0.5664, reader_cost=0.0002 | ETA 08:28:39 2020-12-16 19:55:48 [INFO] [TRAIN] epoch=71, iter=26130/80000, loss=0.1998, lr=0.007005, batch_cost=0.5455, reader_cost=0.0001 | ETA 08:09:48 2020-12-16 19:55:54 [INFO] [TRAIN] epoch=71, iter=26140/80000, loss=0.1802, lr=0.007004, batch_cost=0.5585, reader_cost=0.0005 | ETA 08:21:18 2020-12-16 19:55:59 [INFO] [TRAIN] epoch=71, iter=26150/80000, loss=0.2214, lr=0.007003, batch_cost=0.5347, reader_cost=0.0001 | ETA 07:59:52 2020-12-16 19:56:05 [INFO] [TRAIN] epoch=71, iter=26160/80000, loss=0.2468, lr=0.007002, batch_cost=0.5496, reader_cost=0.0001 | ETA 08:13:10 2020-12-16 19:56:10 [INFO] [TRAIN] epoch=71, iter=26170/80000, loss=0.1842, lr=0.007001, batch_cost=0.5485, reader_cost=0.0002 | ETA 08:12:03 2020-12-16 19:56:16 [INFO] [TRAIN] epoch=71, iter=26180/80000, loss=0.1778, lr=0.007000, batch_cost=0.5533, reader_cost=0.0001 | ETA 08:16:19 2020-12-16 19:56:21 [INFO] [TRAIN] epoch=71, iter=26190/80000, loss=0.2934, lr=0.006998, batch_cost=0.5479, reader_cost=0.0001 | ETA 08:11:21 2020-12-16 19:56:27 [INFO] [TRAIN] epoch=71, iter=26200/80000, loss=0.1978, lr=0.006997, batch_cost=0.5397, reader_cost=0.0001 | ETA 08:03:54 2020-12-16 19:56:32 [INFO] [TRAIN] epoch=71, iter=26210/80000, loss=0.2044, lr=0.006996, batch_cost=0.5534, reader_cost=0.0001 | ETA 08:16:06 2020-12-16 19:56:38 [INFO] [TRAIN] epoch=71, iter=26220/80000, loss=0.2953, lr=0.006995, batch_cost=0.5443, reader_cost=0.0001 | ETA 08:07:52 2020-12-16 19:56:43 [INFO] [TRAIN] epoch=71, iter=26230/80000, loss=0.2025, lr=0.006994, batch_cost=0.5691, reader_cost=0.0002 | ETA 08:29:59 2020-12-16 19:56:49 [INFO] [TRAIN] epoch=71, iter=26240/80000, loss=0.2052, lr=0.006993, batch_cost=0.5433, reader_cost=0.0001 | ETA 08:06:49 2020-12-16 19:56:54 [INFO] [TRAIN] epoch=71, iter=26250/80000, loss=0.1869, lr=0.006991, batch_cost=0.5371, reader_cost=0.0001 | ETA 08:01:09 2020-12-16 19:57:00 [INFO] [TRAIN] epoch=71, iter=26260/80000, loss=0.2068, lr=0.006990, batch_cost=0.5516, reader_cost=0.0002 | ETA 08:14:00 2020-12-16 19:57:05 [INFO] [TRAIN] epoch=71, iter=26270/80000, loss=0.1734, lr=0.006989, batch_cost=0.5399, reader_cost=0.0001 | ETA 08:03:30 2020-12-16 19:57:10 [INFO] [TRAIN] epoch=71, iter=26280/80000, loss=0.1923, lr=0.006988, batch_cost=0.5345, reader_cost=0.0002 | ETA 07:58:32 2020-12-16 19:57:16 [INFO] [TRAIN] epoch=71, iter=26290/80000, loss=0.2144, lr=0.006987, batch_cost=0.5586, reader_cost=0.0001 | ETA 08:20:01 2020-12-16 19:57:22 [INFO] [TRAIN] epoch=71, iter=26300/80000, loss=0.2155, lr=0.006986, batch_cost=0.5466, reader_cost=0.0003 | ETA 08:09:09 2020-12-16 19:57:27 [INFO] [TRAIN] epoch=71, iter=26310/80000, loss=0.2959, lr=0.006984, batch_cost=0.5637, reader_cost=0.0001 | ETA 08:24:25 2020-12-16 19:57:33 [INFO] [TRAIN] epoch=71, iter=26320/80000, loss=0.2049, lr=0.006983, batch_cost=0.5476, reader_cost=0.0002 | ETA 08:09:53 2020-12-16 19:57:38 [INFO] [TRAIN] epoch=71, iter=26330/80000, loss=0.4071, lr=0.006982, batch_cost=0.5484, reader_cost=0.0001 | ETA 08:10:35 2020-12-16 19:57:44 [INFO] [TRAIN] epoch=71, iter=26340/80000, loss=0.2538, lr=0.006981, batch_cost=0.5437, reader_cost=0.0001 | ETA 08:06:12 2020-12-16 19:57:49 [INFO] [TRAIN] epoch=71, iter=26350/80000, loss=0.2337, lr=0.006980, batch_cost=0.5516, reader_cost=0.0001 | ETA 08:13:12 2020-12-16 19:57:55 [INFO] [TRAIN] epoch=71, iter=26360/80000, loss=0.2502, lr=0.006979, batch_cost=0.5616, reader_cost=0.0003 | ETA 08:22:04 2020-12-16 19:58:00 [INFO] [TRAIN] epoch=71, iter=26370/80000, loss=0.1649, lr=0.006977, batch_cost=0.5410, reader_cost=0.0005 | ETA 08:03:35 2020-12-16 19:58:06 [INFO] [TRAIN] epoch=71, iter=26380/80000, loss=0.2214, lr=0.006976, batch_cost=0.5583, reader_cost=0.0001 | ETA 08:18:55 2020-12-16 19:58:11 [INFO] [TRAIN] epoch=71, iter=26390/80000, loss=0.1579, lr=0.006975, batch_cost=0.5514, reader_cost=0.0001 | ETA 08:12:38 2020-12-16 19:58:17 [INFO] [TRAIN] epoch=71, iter=26400/80000, loss=0.1744, lr=0.006974, batch_cost=0.5476, reader_cost=0.0001 | ETA 08:09:08 2020-12-16 19:58:22 [INFO] [TRAIN] epoch=71, iter=26410/80000, loss=0.1974, lr=0.006973, batch_cost=0.5202, reader_cost=0.0001 | ETA 07:44:35 2020-12-16 19:58:28 [INFO] [TRAIN] epoch=72, iter=26420/80000, loss=0.2114, lr=0.006972, batch_cost=0.6182, reader_cost=0.0492 | ETA 09:12:03 2020-12-16 19:58:34 [INFO] [TRAIN] epoch=72, iter=26430/80000, loss=0.2132, lr=0.006970, batch_cost=0.5756, reader_cost=0.0001 | ETA 08:33:55 2020-12-16 19:58:39 [INFO] [TRAIN] epoch=72, iter=26440/80000, loss=0.1823, lr=0.006969, batch_cost=0.5587, reader_cost=0.0002 | ETA 08:18:41 2020-12-16 19:58:45 [INFO] [TRAIN] epoch=72, iter=26450/80000, loss=0.2160, lr=0.006968, batch_cost=0.5427, reader_cost=0.0003 | ETA 08:04:20 2020-12-16 19:58:50 [INFO] [TRAIN] epoch=72, iter=26460/80000, loss=0.1843, lr=0.006967, batch_cost=0.5511, reader_cost=0.0001 | ETA 08:11:45 2020-12-16 19:58:56 [INFO] [TRAIN] epoch=72, iter=26470/80000, loss=0.1993, lr=0.006966, batch_cost=0.5536, reader_cost=0.0002 | ETA 08:13:53 2020-12-16 19:59:01 [INFO] [TRAIN] epoch=72, iter=26480/80000, loss=0.2376, lr=0.006965, batch_cost=0.5577, reader_cost=0.0001 | ETA 08:17:28 2020-12-16 19:59:07 [INFO] [TRAIN] epoch=72, iter=26490/80000, loss=0.1969, lr=0.006963, batch_cost=0.5383, reader_cost=0.0001 | ETA 08:00:04 2020-12-16 19:59:12 [INFO] [TRAIN] epoch=72, iter=26500/80000, loss=0.1890, lr=0.006962, batch_cost=0.5436, reader_cost=0.0001 | ETA 08:04:42 2020-12-16 19:59:18 [INFO] [TRAIN] epoch=72, iter=26510/80000, loss=0.2415, lr=0.006961, batch_cost=0.5534, reader_cost=0.0001 | ETA 08:13:20 2020-12-16 19:59:23 [INFO] [TRAIN] epoch=72, iter=26520/80000, loss=0.1876, lr=0.006960, batch_cost=0.5500, reader_cost=0.0002 | ETA 08:10:13 2020-12-16 19:59:29 [INFO] [TRAIN] epoch=72, iter=26530/80000, loss=0.1998, lr=0.006959, batch_cost=0.5533, reader_cost=0.0001 | ETA 08:13:02 2020-12-16 19:59:35 [INFO] [TRAIN] epoch=72, iter=26540/80000, loss=0.2094, lr=0.006957, batch_cost=0.5640, reader_cost=0.0011 | ETA 08:22:30 2020-12-16 19:59:40 [INFO] [TRAIN] epoch=72, iter=26550/80000, loss=0.2039, lr=0.006956, batch_cost=0.5587, reader_cost=0.0007 | ETA 08:17:43 2020-12-16 19:59:46 [INFO] [TRAIN] epoch=72, iter=26560/80000, loss=0.2143, lr=0.006955, batch_cost=0.5622, reader_cost=0.0001 | ETA 08:20:44 2020-12-16 19:59:51 [INFO] [TRAIN] epoch=72, iter=26570/80000, loss=0.3088, lr=0.006954, batch_cost=0.5633, reader_cost=0.0001 | ETA 08:21:38 2020-12-16 19:59:57 [INFO] [TRAIN] epoch=72, iter=26580/80000, loss=0.2932, lr=0.006953, batch_cost=0.5545, reader_cost=0.0001 | ETA 08:13:42 2020-12-16 20:00:03 [INFO] [TRAIN] epoch=72, iter=26590/80000, loss=0.1865, lr=0.006952, batch_cost=0.5635, reader_cost=0.0003 | ETA 08:21:35 2020-12-16 20:00:08 [INFO] [TRAIN] epoch=72, iter=26600/80000, loss=0.2956, lr=0.006950, batch_cost=0.5582, reader_cost=0.0020 | ETA 08:16:46 2020-12-16 20:00:14 [INFO] [TRAIN] epoch=72, iter=26610/80000, loss=0.2362, lr=0.006949, batch_cost=0.5616, reader_cost=0.0001 | ETA 08:19:41 2020-12-16 20:00:19 [INFO] [TRAIN] epoch=72, iter=26620/80000, loss=0.2079, lr=0.006948, batch_cost=0.5486, reader_cost=0.0001 | ETA 08:08:02 2020-12-16 20:00:25 [INFO] [TRAIN] epoch=72, iter=26630/80000, loss=0.1770, lr=0.006947, batch_cost=0.5506, reader_cost=0.0002 | ETA 08:09:47 2020-12-16 20:00:30 [INFO] [TRAIN] epoch=72, iter=26640/80000, loss=0.1740, lr=0.006946, batch_cost=0.5637, reader_cost=0.0005 | ETA 08:21:16 2020-12-16 20:00:36 [INFO] [TRAIN] epoch=72, iter=26650/80000, loss=0.1402, lr=0.006945, batch_cost=0.5462, reader_cost=0.0001 | ETA 08:05:39 2020-12-16 20:00:41 [INFO] [TRAIN] epoch=72, iter=26660/80000, loss=0.1873, lr=0.006943, batch_cost=0.5578, reader_cost=0.0002 | ETA 08:15:50 2020-12-16 20:00:47 [INFO] [TRAIN] epoch=72, iter=26670/80000, loss=0.1829, lr=0.006942, batch_cost=0.5429, reader_cost=0.0002 | ETA 08:02:30 2020-12-16 20:00:52 [INFO] [TRAIN] epoch=72, iter=26680/80000, loss=0.1923, lr=0.006941, batch_cost=0.5519, reader_cost=0.0001 | ETA 08:10:26 2020-12-16 20:00:58 [INFO] [TRAIN] epoch=72, iter=26690/80000, loss=0.2053, lr=0.006940, batch_cost=0.5465, reader_cost=0.0001 | ETA 08:05:32 2020-12-16 20:01:03 [INFO] [TRAIN] epoch=72, iter=26700/80000, loss=0.2105, lr=0.006939, batch_cost=0.5440, reader_cost=0.0001 | ETA 08:03:16 2020-12-16 20:01:09 [INFO] [TRAIN] epoch=72, iter=26710/80000, loss=0.2154, lr=0.006938, batch_cost=0.5442, reader_cost=0.0001 | ETA 08:03:19 2020-12-16 20:01:14 [INFO] [TRAIN] epoch=72, iter=26720/80000, loss=0.1738, lr=0.006936, batch_cost=0.5588, reader_cost=0.0001 | ETA 08:16:10 2020-12-16 20:01:20 [INFO] [TRAIN] epoch=72, iter=26730/80000, loss=0.2007, lr=0.006935, batch_cost=0.5487, reader_cost=0.0001 | ETA 08:07:07 2020-12-16 20:01:25 [INFO] [TRAIN] epoch=72, iter=26740/80000, loss=0.1650, lr=0.006934, batch_cost=0.5403, reader_cost=0.0001 | ETA 07:59:34 2020-12-16 20:01:31 [INFO] [TRAIN] epoch=72, iter=26750/80000, loss=0.1620, lr=0.006933, batch_cost=0.5499, reader_cost=0.0001 | ETA 08:08:02 2020-12-16 20:01:36 [INFO] [TRAIN] epoch=72, iter=26760/80000, loss=0.2048, lr=0.006932, batch_cost=0.5457, reader_cost=0.0001 | ETA 08:04:12 2020-12-16 20:01:42 [INFO] [TRAIN] epoch=72, iter=26770/80000, loss=0.1669, lr=0.006931, batch_cost=0.5611, reader_cost=0.0003 | ETA 08:17:48 2020-12-16 20:01:47 [INFO] [TRAIN] epoch=72, iter=26780/80000, loss=0.2408, lr=0.006929, batch_cost=0.5434, reader_cost=0.0002 | ETA 08:01:58 2020-12-16 20:01:53 [INFO] [TRAIN] epoch=73, iter=26790/80000, loss=0.1970, lr=0.006928, batch_cost=0.6201, reader_cost=0.0513 | ETA 09:09:53 2020-12-16 20:01:59 [INFO] [TRAIN] epoch=73, iter=26800/80000, loss=0.1697, lr=0.006927, batch_cost=0.5786, reader_cost=0.0001 | ETA 08:33:01 2020-12-16 20:02:05 [INFO] [TRAIN] epoch=73, iter=26810/80000, loss=0.3053, lr=0.006926, batch_cost=0.5646, reader_cost=0.0004 | ETA 08:20:31 2020-12-16 20:02:10 [INFO] [TRAIN] epoch=73, iter=26820/80000, loss=0.2262, lr=0.006925, batch_cost=0.5606, reader_cost=0.0002 | ETA 08:16:51 2020-12-16 20:02:16 [INFO] [TRAIN] epoch=73, iter=26830/80000, loss=0.3108, lr=0.006924, batch_cost=0.5603, reader_cost=0.0002 | ETA 08:16:29 2020-12-16 20:02:22 [INFO] [TRAIN] epoch=73, iter=26840/80000, loss=0.1257, lr=0.006922, batch_cost=0.5517, reader_cost=0.0001 | ETA 08:08:46 2020-12-16 20:02:27 [INFO] [TRAIN] epoch=73, iter=26850/80000, loss=0.3196, lr=0.006921, batch_cost=0.5582, reader_cost=0.0002 | ETA 08:14:27 2020-12-16 20:02:33 [INFO] [TRAIN] epoch=73, iter=26860/80000, loss=0.2463, lr=0.006920, batch_cost=0.5439, reader_cost=0.0001 | ETA 08:01:41 2020-12-16 20:02:38 [INFO] [TRAIN] epoch=73, iter=26870/80000, loss=0.1674, lr=0.006919, batch_cost=0.5484, reader_cost=0.0001 | ETA 08:05:37 2020-12-16 20:02:44 [INFO] [TRAIN] epoch=73, iter=26880/80000, loss=0.1904, lr=0.006918, batch_cost=0.5599, reader_cost=0.0002 | ETA 08:15:39 2020-12-16 20:02:49 [INFO] [TRAIN] epoch=73, iter=26890/80000, loss=0.1535, lr=0.006916, batch_cost=0.5492, reader_cost=0.0001 | ETA 08:06:07 2020-12-16 20:02:54 [INFO] [TRAIN] epoch=73, iter=26900/80000, loss=0.2146, lr=0.006915, batch_cost=0.5311, reader_cost=0.0001 | ETA 07:50:03 2020-12-16 20:03:00 [INFO] [TRAIN] epoch=73, iter=26910/80000, loss=0.1691, lr=0.006914, batch_cost=0.5448, reader_cost=0.0001 | ETA 08:02:03 2020-12-16 20:03:05 [INFO] [TRAIN] epoch=73, iter=26920/80000, loss=0.2444, lr=0.006913, batch_cost=0.5442, reader_cost=0.0003 | ETA 08:01:25 2020-12-16 20:03:11 [INFO] [TRAIN] epoch=73, iter=26930/80000, loss=0.1506, lr=0.006912, batch_cost=0.5339, reader_cost=0.0001 | ETA 07:52:11 2020-12-16 20:03:16 [INFO] [TRAIN] epoch=73, iter=26940/80000, loss=0.2099, lr=0.006911, batch_cost=0.5538, reader_cost=0.0001 | ETA 08:09:42 2020-12-16 20:03:22 [INFO] [TRAIN] epoch=73, iter=26950/80000, loss=0.1709, lr=0.006909, batch_cost=0.5522, reader_cost=0.0001 | ETA 08:08:12 2020-12-16 20:03:27 [INFO] [TRAIN] epoch=73, iter=26960/80000, loss=0.1804, lr=0.006908, batch_cost=0.5443, reader_cost=0.0001 | ETA 08:01:12 2020-12-16 20:03:33 [INFO] [TRAIN] epoch=73, iter=26970/80000, loss=0.1869, lr=0.006907, batch_cost=0.5444, reader_cost=0.0004 | ETA 08:01:10 2020-12-16 20:03:38 [INFO] [TRAIN] epoch=73, iter=26980/80000, loss=0.2755, lr=0.006906, batch_cost=0.5518, reader_cost=0.0003 | ETA 08:07:35 2020-12-16 20:03:44 [INFO] [TRAIN] epoch=73, iter=26990/80000, loss=0.3221, lr=0.006905, batch_cost=0.5460, reader_cost=0.0001 | ETA 08:02:22 2020-12-16 20:03:49 [INFO] [TRAIN] epoch=73, iter=27000/80000, loss=0.1933, lr=0.006904, batch_cost=0.5480, reader_cost=0.0002 | ETA 08:04:03 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 2020-12-16 20:03:49 [INFO] Start evaluating (total_samples=500, total_iters=125)... scales 1.0 aug_eval False scales 1.0 2020-12-16 20:04:24 [INFO] [EVAL] #Images=500 mIoU=0.7454 Acc=0.9564 Kappa=0.9434 2020-12-16 20:04:24 [INFO] [EVAL] Class IoU: [0.9788 0.8364 0.9188 0.5429 0.5811 0.5758 0.6675 0.7673 0.9203 0.646 0.9439 0.7985 0.5932 0.9427 0.7693 0.7988 0.5929 0.5454 0.7421] 2020-12-16 20:04:24 [INFO] [EVAL] Class Acc: [0.992 0.9026 0.9561 0.875 0.7761 0.7226 0.7578 0.876 0.9522 0.839 0.9683 0.8601 0.7358 0.9643 0.8687 0.8489 0.9345 0.6146 0.8826] 2020-12-16 20:04:28 [INFO] [EVAL] The model with the best validation mIoU (0.7556) was saved at iter 26000. 2020-12-16 20:04:33 [INFO] [TRAIN] epoch=73, iter=27010/80000, loss=0.2015, lr=0.006902, batch_cost=0.5399, reader_cost=0.0002 | ETA 07:56:50 2020-12-16 20:04:39 [INFO] [TRAIN] epoch=73, iter=27020/80000, loss=0.1867, lr=0.006901, batch_cost=0.5435, reader_cost=0.0001 | ETA 07:59:52 2020-12-16 20:04:44 [INFO] [TRAIN] epoch=73, iter=27030/80000, loss=0.2070, lr=0.006900, batch_cost=0.5457, reader_cost=0.0001 | ETA 08:01:44 2020-12-16 20:04:50 [INFO] [TRAIN] epoch=73, iter=27040/80000, loss=0.2211, lr=0.006899, batch_cost=0.5531, reader_cost=0.0001 | ETA 08:08:10 2020-12-16 20:04:55 [INFO] [TRAIN] epoch=73, iter=27050/80000, loss=0.1809, lr=0.006898, batch_cost=0.5460, reader_cost=0.0001 | ETA 08:01:51 2020-12-16 20:05:00 [INFO] [TRAIN] epoch=73, iter=27060/80000, loss=0.2037, lr=0.006897, batch_cost=0.5454, reader_cost=0.0001 | ETA 08:01:10 2020-12-16 20:05:06 [INFO] [TRAIN] epoch=73, iter=27070/80000, loss=0.1817, lr=0.006895, batch_cost=0.5467, reader_cost=0.0002 | ETA 08:02:19 2020-12-16 20:05:12 [INFO] [TRAIN] epoch=73, iter=27080/80000, loss=0.1801, lr=0.006894, batch_cost=0.5675, reader_cost=0.0001 | ETA 08:20:31 2020-12-16 20:05:17 [INFO] [TRAIN] epoch=73, iter=27090/80000, loss=0.1584, lr=0.006893, batch_cost=0.5492, reader_cost=0.0001 | ETA 08:04:17 2020-12-16 20:05:23 [INFO] [TRAIN] epoch=73, iter=27100/80000, loss=0.1741, lr=0.006892, batch_cost=0.5555, reader_cost=0.0001 | ETA 08:09:45 2020-12-16 20:05:28 [INFO] [TRAIN] epoch=73, iter=27110/80000, loss=0.1380, lr=0.006891, batch_cost=0.5403, reader_cost=0.0003 | ETA 07:56:18 2020-12-16 20:05:33 [INFO] [TRAIN] epoch=73, iter=27120/80000, loss=0.2210, lr=0.006890, batch_cost=0.5459, reader_cost=0.0001 | ETA 08:01:08 2020-12-16 20:05:39 [INFO] [TRAIN] epoch=73, iter=27130/80000, loss=0.1669, lr=0.006888, batch_cost=0.5497, reader_cost=0.0001 | ETA 08:04:24 2020-12-16 20:05:44 [INFO] [TRAIN] epoch=73, iter=27140/80000, loss=0.1978, lr=0.006887, batch_cost=0.5498, reader_cost=0.0001 | ETA 08:04:23 2020-12-16 20:05:50 [INFO] [TRAIN] epoch=73, iter=27150/80000, loss=0.2203, lr=0.006886, batch_cost=0.5486, reader_cost=0.0001 | ETA 08:03:15 2020-12-16 20:05:56 [INFO] [TRAIN] epoch=74, iter=27160/80000, loss=0.2292, lr=0.006885, batch_cost=0.6175, reader_cost=0.0928 | ETA 09:03:47 2020-12-16 20:06:02 [INFO] [TRAIN] epoch=74, iter=27170/80000, loss=0.1457, lr=0.006884, batch_cost=0.5598, reader_cost=0.0002 | ETA 08:12:53 2020-12-16 20:06:08 [INFO] [TRAIN] epoch=74, iter=27180/80000, loss=0.3027, lr=0.006882, batch_cost=0.5796, reader_cost=0.0001 | ETA 08:30:14 2020-12-16 20:06:13 [INFO] [TRAIN] epoch=74, iter=27190/80000, loss=0.2574, lr=0.006881, batch_cost=0.5475, reader_cost=0.0002 | ETA 08:01:54 2020-12-16 20:06:19 [INFO] [TRAIN] epoch=74, iter=27200/80000, loss=0.2112, lr=0.006880, batch_cost=0.5664, reader_cost=0.0002 | ETA 08:18:25 2020-12-16 20:06:24 [INFO] [TRAIN] epoch=74, iter=27210/80000, loss=0.2481, lr=0.006879, batch_cost=0.5435, reader_cost=0.0001 | ETA 07:58:12 2020-12-16 20:06:30 [INFO] [TRAIN] epoch=74, iter=27220/80000, loss=0.1953, lr=0.006878, batch_cost=0.5601, reader_cost=0.0001 | ETA 08:12:41 2020-12-16 20:06:35 [INFO] [TRAIN] epoch=74, iter=27230/80000, loss=0.1723, lr=0.006877, batch_cost=0.5459, reader_cost=0.0001 | ETA 08:00:06 2020-12-16 20:06:41 [INFO] [TRAIN] epoch=74, iter=27240/80000, loss=0.2091, lr=0.006875, batch_cost=0.5470, reader_cost=0.0001 | ETA 08:01:01 2020-12-16 20:06:46 [INFO] [TRAIN] epoch=74, iter=27250/80000, loss=0.2214, lr=0.006874, batch_cost=0.5334, reader_cost=0.0001 | ETA 07:48:57 2020-12-16 20:06:52 [INFO] [TRAIN] epoch=74, iter=27260/80000, loss=0.2815, lr=0.006873, batch_cost=0.5539, reader_cost=0.0001 | ETA 08:06:53 2020-12-16 20:06:57 [INFO] [TRAIN] epoch=74, iter=27270/80000, loss=0.1835, lr=0.006872, batch_cost=0.5477, reader_cost=0.0001 | ETA 08:01:19 2020-12-16 20:07:02 [INFO] [TRAIN] epoch=74, iter=27280/80000, loss=0.2200, lr=0.006871, batch_cost=0.5486, reader_cost=0.0008 | ETA 08:02:04 2020-12-16 20:07:08 [INFO] [TRAIN] epoch=74, iter=27290/80000, loss=0.2372, lr=0.006870, batch_cost=0.5439, reader_cost=0.0004 | ETA 07:57:48 2020-12-16 20:07:13 [INFO] [TRAIN] epoch=74, iter=27300/80000, loss=0.1821, lr=0.006868, batch_cost=0.5479, reader_cost=0.0003 | ETA 08:01:13 2020-12-16 20:07:19 [INFO] [TRAIN] epoch=74, iter=27310/80000, loss=0.1498, lr=0.006867, batch_cost=0.5386, reader_cost=0.0001 | ETA 07:53:00 2020-12-16 20:07:24 [INFO] [TRAIN] epoch=74, iter=27320/80000, loss=0.1950, lr=0.006866, batch_cost=0.5522, reader_cost=0.0006 | ETA 08:04:51 2020-12-16 20:07:30 [INFO] [TRAIN] epoch=74, iter=27330/80000, loss=0.1916, lr=0.006865, batch_cost=0.5485, reader_cost=0.0010 | ETA 08:01:28 2020-12-16 20:07:35 [INFO] [TRAIN] epoch=74, iter=27340/80000, loss=0.1740, lr=0.006864, batch_cost=0.5529, reader_cost=0.0001 | ETA 08:05:15 2020-12-16 20:07:41 [INFO] [TRAIN] epoch=74, iter=27350/80000, loss=0.2504, lr=0.006863, batch_cost=0.5499, reader_cost=0.0001 | ETA 08:02:33 2020-12-16 20:07:46 [INFO] [TRAIN] epoch=74, iter=27360/80000, loss=0.1789, lr=0.006861, batch_cost=0.5292, reader_cost=0.0001 | ETA 07:44:16 2020-12-16 20:07:52 [INFO] [TRAIN] epoch=74, iter=27370/80000, loss=0.1730, lr=0.006860, batch_cost=0.5381, reader_cost=0.0001 | ETA 07:52:00 2020-12-16 20:07:57 [INFO] [TRAIN] epoch=74, iter=27380/80000, loss=0.2194, lr=0.006859, batch_cost=0.5505, reader_cost=0.0001 | ETA 08:02:46 2020-12-16 20:08:02 [INFO] [TRAIN] epoch=74, iter=27390/80000, loss=0.1582, lr=0.006858, batch_cost=0.5365, reader_cost=0.0001 | ETA 07:50:24 2020-12-16 20:08:08 [INFO] [TRAIN] epoch=74, iter=27400/80000, loss=0.2856, lr=0.006857, batch_cost=0.5516, reader_cost=0.0001 | ETA 08:03:32 2020-12-16 20:08:13 [INFO] [TRAIN] epoch=74, iter=27410/80000, loss=0.2089, lr=0.006856, batch_cost=0.5518, reader_cost=0.0002 | ETA 08:03:41 2020-12-16 20:08:19 [INFO] [TRAIN] epoch=74, iter=27420/80000, loss=0.1847, lr=0.006854, batch_cost=0.5660, reader_cost=0.0001 | ETA 08:16:01 2020-12-16 20:08:24 [INFO] [TRAIN] epoch=74, iter=27430/80000, loss=0.1765, lr=0.006853, batch_cost=0.5411, reader_cost=0.0001 | ETA 07:54:06 2020-12-16 20:08:30 [INFO] [TRAIN] epoch=74, iter=27440/80000, loss=0.1758, lr=0.006852, batch_cost=0.5442, reader_cost=0.0013 | ETA 07:56:45 2020-12-16 20:08:36 [INFO] [TRAIN] epoch=74, iter=27450/80000, loss=0.1400, lr=0.006851, batch_cost=0.5562, reader_cost=0.0001 | ETA 08:07:08 2020-12-16 20:08:41 [INFO] [TRAIN] epoch=74, iter=27460/80000, loss=0.2236, lr=0.006850, batch_cost=0.5461, reader_cost=0.0003 | ETA 07:58:13 2020-12-16 20:08:47 [INFO] [TRAIN] epoch=74, iter=27470/80000, loss=0.1877, lr=0.006848, batch_cost=0.5603, reader_cost=0.0013 | ETA 08:10:30 2020-12-16 20:08:52 [INFO] [TRAIN] epoch=74, iter=27480/80000, loss=0.2064, lr=0.006847, batch_cost=0.5423, reader_cost=0.0001 | ETA 07:54:41 2020-12-16 20:08:58 [INFO] [TRAIN] epoch=74, iter=27490/80000, loss=0.2225, lr=0.006846, batch_cost=0.5600, reader_cost=0.0001 | ETA 08:10:05 2020-12-16 20:09:03 [INFO] [TRAIN] epoch=74, iter=27500/80000, loss=0.2159, lr=0.006845, batch_cost=0.5458, reader_cost=0.0002 | ETA 07:57:32 2020-12-16 20:09:09 [INFO] [TRAIN] epoch=74, iter=27510/80000, loss=0.1985, lr=0.006844, batch_cost=0.5525, reader_cost=0.0001 | ETA 08:03:18 2020-12-16 20:09:14 [INFO] [TRAIN] epoch=74, iter=27520/80000, loss=0.1944, lr=0.006843, batch_cost=0.5640, reader_cost=0.0002 | ETA 08:13:17 2020-12-16 20:09:20 [INFO] [TRAIN] epoch=75, iter=27530/80000, loss=0.1737, lr=0.006841, batch_cost=0.5809, reader_cost=0.0529 | ETA 08:27:59 2020-12-16 20:09:26 [INFO] [TRAIN] epoch=75, iter=27540/80000, loss=0.2037, lr=0.006840, batch_cost=0.5823, reader_cost=0.0001 | ETA 08:29:06 2020-12-16 20:09:32 [INFO] [TRAIN] epoch=75, iter=27550/80000, loss=0.2085, lr=0.006839, batch_cost=0.5823, reader_cost=0.0001 | ETA 08:29:01 2020-12-16 20:09:37 [INFO] [TRAIN] epoch=75, iter=27560/80000, loss=0.2245, lr=0.006838, batch_cost=0.5564, reader_cost=0.0001 | ETA 08:06:19 2020-12-16 20:09:43 [INFO] [TRAIN] epoch=75, iter=27570/80000, loss=0.1911, lr=0.006837, batch_cost=0.5608, reader_cost=0.0001 | ETA 08:10:01 2020-12-16 20:09:48 [INFO] [TRAIN] epoch=75, iter=27580/80000, loss=0.2169, lr=0.006836, batch_cost=0.5415, reader_cost=0.0001 | ETA 07:53:04 2020-12-16 20:09:54 [INFO] [TRAIN] epoch=75, iter=27590/80000, loss=0.1582, lr=0.006834, batch_cost=0.5415, reader_cost=0.0001 | ETA 07:52:59 2020-12-16 20:09:59 [INFO] [TRAIN] epoch=75, iter=27600/80000, loss=0.1912, lr=0.006833, batch_cost=0.5593, reader_cost=0.0001 | ETA 08:08:24 2020-12-16 20:10:05 [INFO] [TRAIN] epoch=75, iter=27610/80000, loss=0.2669, lr=0.006832, batch_cost=0.5485, reader_cost=0.0001 | ETA 07:58:58 2020-12-16 20:10:10 [INFO] [TRAIN] epoch=75, iter=27620/80000, loss=0.1755, lr=0.006831, batch_cost=0.5438, reader_cost=0.0001 | ETA 07:54:44 2020-12-16 20:10:15 [INFO] [TRAIN] epoch=75, iter=27630/80000, loss=0.2303, lr=0.006830, batch_cost=0.5277, reader_cost=0.0001 | ETA 07:40:35 2020-12-16 20:10:21 [INFO] [TRAIN] epoch=75, iter=27640/80000, loss=0.2763, lr=0.006829, batch_cost=0.5396, reader_cost=0.0001 | ETA 07:50:50 2020-12-16 20:10:26 [INFO] [TRAIN] epoch=75, iter=27650/80000, loss=0.1807, lr=0.006827, batch_cost=0.5422, reader_cost=0.0001 | ETA 07:53:06 2020-12-16 20:10:32 [INFO] [TRAIN] epoch=75, iter=27660/80000, loss=0.2680, lr=0.006826, batch_cost=0.5539, reader_cost=0.0001 | ETA 08:03:13 2020-12-16 20:10:37 [INFO] [TRAIN] epoch=75, iter=27670/80000, loss=0.2012, lr=0.006825, batch_cost=0.5557, reader_cost=0.0001 | ETA 08:04:41 2020-12-16 20:10:43 [INFO] [TRAIN] epoch=75, iter=27680/80000, loss=0.2583, lr=0.006824, batch_cost=0.5495, reader_cost=0.0001 | ETA 07:59:07 2020-12-16 20:10:48 [INFO] [TRAIN] epoch=75, iter=27690/80000, loss=0.1685, lr=0.006823, batch_cost=0.5428, reader_cost=0.0001 | ETA 07:53:14 2020-12-16 20:10:54 [INFO] [TRAIN] epoch=75, iter=27700/80000, loss=0.3605, lr=0.006821, batch_cost=0.5466, reader_cost=0.0001 | ETA 07:56:25 2020-12-16 20:10:59 [INFO] [TRAIN] epoch=75, iter=27710/80000, loss=0.1754, lr=0.006820, batch_cost=0.5413, reader_cost=0.0001 | ETA 07:51:44 2020-12-16 20:11:05 [INFO] [TRAIN] epoch=75, iter=27720/80000, loss=0.2565, lr=0.006819, batch_cost=0.5348, reader_cost=0.0001 | ETA 07:45:58 2020-12-16 20:11:10 [INFO] [TRAIN] epoch=75, iter=27730/80000, loss=0.1536, lr=0.006818, batch_cost=0.5562, reader_cost=0.0002 | ETA 08:04:31 2020-12-16 20:11:16 [INFO] [TRAIN] epoch=75, iter=27740/80000, loss=0.1833, lr=0.006817, batch_cost=0.5514, reader_cost=0.0004 | ETA 08:00:16 2020-12-16 20:11:21 [INFO] [TRAIN] epoch=75, iter=27750/80000, loss=0.2112, lr=0.006816, batch_cost=0.5424, reader_cost=0.0001 | ETA 07:52:20 2020-12-16 20:11:27 [INFO] [TRAIN] epoch=75, iter=27760/80000, loss=0.1761, lr=0.006814, batch_cost=0.5460, reader_cost=0.0001 | ETA 07:55:21 2020-12-16 20:11:32 [INFO] [TRAIN] epoch=75, iter=27770/80000, loss=0.2284, lr=0.006813, batch_cost=0.5485, reader_cost=0.0014 | ETA 07:57:25 2020-12-16 20:11:37 [INFO] [TRAIN] epoch=75, iter=27780/80000, loss=0.2051, lr=0.006812, batch_cost=0.5315, reader_cost=0.0003 | ETA 07:42:33 2020-12-16 20:11:43 [INFO] [TRAIN] epoch=75, iter=27790/80000, loss=0.1723, lr=0.006811, batch_cost=0.5634, reader_cost=0.0011 | ETA 08:10:16 2020-12-16 20:11:48 [INFO] [TRAIN] epoch=75, iter=27800/80000, loss=0.2407, lr=0.006810, batch_cost=0.5362, reader_cost=0.0001 | ETA 07:46:28 2020-12-16 20:11:54 [INFO] [TRAIN] epoch=75, iter=27810/80000, loss=0.1877, lr=0.006809, batch_cost=0.5298, reader_cost=0.0001 | ETA 07:40:51 2020-12-16 20:11:59 [INFO] [TRAIN] epoch=75, iter=27820/80000, loss=0.1892, lr=0.006807, batch_cost=0.5338, reader_cost=0.0001 | ETA 07:44:15 2020-12-16 20:12:04 [INFO] [TRAIN] epoch=75, iter=27830/80000, loss=0.2227, lr=0.006806, batch_cost=0.5532, reader_cost=0.0004 | ETA 08:01:00 2020-12-16 20:12:10 [INFO] [TRAIN] epoch=75, iter=27840/80000, loss=0.1836, lr=0.006805, batch_cost=0.5454, reader_cost=0.0001 | ETA 07:54:07 2020-12-16 20:12:15 [INFO] [TRAIN] epoch=75, iter=27850/80000, loss=0.2546, lr=0.006804, batch_cost=0.5440, reader_cost=0.0003 | ETA 07:52:50 2020-12-16 20:12:21 [INFO] [TRAIN] epoch=75, iter=27860/80000, loss=0.2595, lr=0.006803, batch_cost=0.5480, reader_cost=0.0002 | ETA 07:56:11 2020-12-16 20:12:26 [INFO] [TRAIN] epoch=75, iter=27870/80000, loss=0.2049, lr=0.006802, batch_cost=0.5377, reader_cost=0.0001 | ETA 07:47:12 2020-12-16 20:12:32 [INFO] [TRAIN] epoch=75, iter=27880/80000, loss=0.2332, lr=0.006800, batch_cost=0.5501, reader_cost=0.0001 | ETA 07:57:51 2020-12-16 20:12:37 [INFO] [TRAIN] epoch=75, iter=27890/80000, loss=0.1475, lr=0.006799, batch_cost=0.5641, reader_cost=0.0004 | ETA 08:09:55 2020-12-16 20:12:43 [INFO] [TRAIN] epoch=75, iter=27900/80000, loss=0.2480, lr=0.006798, batch_cost=0.5233, reader_cost=0.0001 | ETA 07:34:26 2020-12-16 20:12:49 [INFO] [TRAIN] epoch=76, iter=27910/80000, loss=0.2416, lr=0.006797, batch_cost=0.6391, reader_cost=0.0384 | ETA 09:14:50 2020-12-16 20:12:55 [INFO] [TRAIN] epoch=76, iter=27920/80000, loss=0.2485, lr=0.006796, batch_cost=0.5631, reader_cost=0.0003 | ETA 08:08:47 2020-12-16 20:13:00 [INFO] [TRAIN] epoch=76, iter=27930/80000, loss=0.1869, lr=0.006794, batch_cost=0.5618, reader_cost=0.0002 | ETA 08:07:34 2020-12-16 20:13:06 [INFO] [TRAIN] epoch=76, iter=27940/80000, loss=0.1812, lr=0.006793, batch_cost=0.5572, reader_cost=0.0020 | ETA 08:03:27 2020-12-16 20:13:11 [INFO] [TRAIN] epoch=76, iter=27950/80000, loss=0.2434, lr=0.006792, batch_cost=0.5448, reader_cost=0.0001 | ETA 07:52:39 2020-12-16 20:13:17 [INFO] [TRAIN] epoch=76, iter=27960/80000, loss=0.3004, lr=0.006791, batch_cost=0.5533, reader_cost=0.0001 | ETA 07:59:56 2020-12-16 20:13:22 [INFO] [TRAIN] epoch=76, iter=27970/80000, loss=0.2533, lr=0.006790, batch_cost=0.5535, reader_cost=0.0001 | ETA 07:59:58 2020-12-16 20:13:28 [INFO] [TRAIN] epoch=76, iter=27980/80000, loss=0.2215, lr=0.006789, batch_cost=0.5414, reader_cost=0.0001 | ETA 07:49:24 2020-12-16 20:13:33 [INFO] [TRAIN] epoch=76, iter=27990/80000, loss=0.2421, lr=0.006787, batch_cost=0.5409, reader_cost=0.0001 | ETA 07:48:53 2020-12-16 20:13:39 [INFO] [TRAIN] epoch=76, iter=28000/80000, loss=0.2675, lr=0.006786, batch_cost=0.5502, reader_cost=0.0001 | ETA 07:56:48 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 20:13:39 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 20:14:12 [INFO] [EVAL] #Images=500 mIoU=0.7445 Acc=0.9549 Kappa=0.9414 2020-12-16 20:14:12 [INFO] [EVAL] Class IoU: [0.9775 0.8252 0.9178 0.5405 0.5768 0.5753 0.6792 0.7534 0.9151 0.5448 0.9429 0.795 0.5684 0.9411 0.7884 0.7767 0.6917 0.5856 0.7511] 2020-12-16 20:14:12 [INFO] [EVAL] Class Acc: [0.9881 0.915 0.9536 0.8559 0.7493 0.7597 0.783 0.8623 0.9427 0.9091 0.9682 0.8766 0.7126 0.9634 0.8967 0.9295 0.9375 0.7097 0.8324] 2020-12-16 20:14:16 [INFO] [EVAL] The model with the best validation mIoU (0.7556) was saved at iter 26000. 2020-12-16 20:14:21 [INFO] [TRAIN] epoch=76, iter=28010/80000, loss=0.2221, lr=0.006785, batch_cost=0.5354, reader_cost=0.0002 | ETA 07:43:54 2020-12-16 20:14:27 [INFO] [TRAIN] epoch=76, iter=28020/80000, loss=0.2424, lr=0.006784, batch_cost=0.5412, reader_cost=0.0001 | ETA 07:48:49 2020-12-16 20:14:32 [INFO] [TRAIN] epoch=76, iter=28030/80000, loss=0.2521, lr=0.006783, batch_cost=0.5412, reader_cost=0.0001 | ETA 07:48:48 2020-12-16 20:14:37 [INFO] [TRAIN] epoch=76, iter=28040/80000, loss=0.1727, lr=0.006782, batch_cost=0.5419, reader_cost=0.0001 | ETA 07:49:18 2020-12-16 20:14:43 [INFO] [TRAIN] epoch=76, iter=28050/80000, loss=0.1480, lr=0.006780, batch_cost=0.5521, reader_cost=0.0001 | ETA 07:58:01 2020-12-16 20:14:48 [INFO] [TRAIN] epoch=76, iter=28060/80000, loss=0.2864, lr=0.006779, batch_cost=0.5441, reader_cost=0.0001 | ETA 07:51:00 2020-12-16 20:14:54 [INFO] [TRAIN] epoch=76, iter=28070/80000, loss=0.3036, lr=0.006778, batch_cost=0.5515, reader_cost=0.0002 | ETA 07:57:18 2020-12-16 20:14:59 [INFO] [TRAIN] epoch=76, iter=28080/80000, loss=0.2677, lr=0.006777, batch_cost=0.5581, reader_cost=0.0001 | ETA 08:02:55 2020-12-16 20:15:05 [INFO] [TRAIN] epoch=76, iter=28090/80000, loss=0.1860, lr=0.006776, batch_cost=0.5556, reader_cost=0.0001 | ETA 08:00:42 2020-12-16 20:15:11 [INFO] [TRAIN] epoch=76, iter=28100/80000, loss=0.2789, lr=0.006774, batch_cost=0.5543, reader_cost=0.0001 | ETA 07:59:26 2020-12-16 20:15:16 [INFO] [TRAIN] epoch=76, iter=28110/80000, loss=0.2195, lr=0.006773, batch_cost=0.5491, reader_cost=0.0001 | ETA 07:54:54 2020-12-16 20:15:22 [INFO] [TRAIN] epoch=76, iter=28120/80000, loss=0.1880, lr=0.006772, batch_cost=0.5550, reader_cost=0.0001 | ETA 07:59:55 2020-12-16 20:15:27 [INFO] [TRAIN] epoch=76, iter=28130/80000, loss=0.2309, lr=0.006771, batch_cost=0.5430, reader_cost=0.0001 | ETA 07:49:26 2020-12-16 20:15:33 [INFO] [TRAIN] epoch=76, iter=28140/80000, loss=0.2030, lr=0.006770, batch_cost=0.5615, reader_cost=0.0001 | ETA 08:05:19 2020-12-16 20:15:38 [INFO] [TRAIN] epoch=76, iter=28150/80000, loss=0.1977, lr=0.006769, batch_cost=0.5541, reader_cost=0.0001 | ETA 07:58:49 2020-12-16 20:15:44 [INFO] [TRAIN] epoch=76, iter=28160/80000, loss=0.2049, lr=0.006767, batch_cost=0.5608, reader_cost=0.0001 | ETA 08:04:33 2020-12-16 20:15:49 [INFO] [TRAIN] epoch=76, iter=28170/80000, loss=0.1906, lr=0.006766, batch_cost=0.5412, reader_cost=0.0001 | ETA 07:47:29 2020-12-16 20:15:55 [INFO] [TRAIN] epoch=76, iter=28180/80000, loss=0.1908, lr=0.006765, batch_cost=0.5565, reader_cost=0.0001 | ETA 08:00:38 2020-12-16 20:16:00 [INFO] [TRAIN] epoch=76, iter=28190/80000, loss=0.2086, lr=0.006764, batch_cost=0.5512, reader_cost=0.0001 | ETA 07:55:58 2020-12-16 20:16:06 [INFO] [TRAIN] epoch=76, iter=28200/80000, loss=0.2199, lr=0.006763, batch_cost=0.5499, reader_cost=0.0001 | ETA 07:54:43 2020-12-16 20:16:11 [INFO] [TRAIN] epoch=76, iter=28210/80000, loss=0.2004, lr=0.006762, batch_cost=0.5490, reader_cost=0.0001 | ETA 07:53:52 2020-12-16 20:16:17 [INFO] [TRAIN] epoch=76, iter=28220/80000, loss=0.1500, lr=0.006760, batch_cost=0.5510, reader_cost=0.0001 | ETA 07:55:31 2020-12-16 20:16:22 [INFO] [TRAIN] epoch=76, iter=28230/80000, loss=0.1744, lr=0.006759, batch_cost=0.5465, reader_cost=0.0001 | ETA 07:51:32 2020-12-16 20:16:28 [INFO] [TRAIN] epoch=76, iter=28240/80000, loss=0.3122, lr=0.006758, batch_cost=0.5650, reader_cost=0.0001 | ETA 08:07:26 2020-12-16 20:16:33 [INFO] [TRAIN] epoch=76, iter=28250/80000, loss=0.2688, lr=0.006757, batch_cost=0.5539, reader_cost=0.0001 | ETA 07:57:46 2020-12-16 20:16:39 [INFO] [TRAIN] epoch=76, iter=28260/80000, loss=0.1628, lr=0.006756, batch_cost=0.5357, reader_cost=0.0001 | ETA 07:41:57 2020-12-16 20:16:44 [INFO] [TRAIN] epoch=76, iter=28270/80000, loss=0.1791, lr=0.006755, batch_cost=0.5424, reader_cost=0.0001 | ETA 07:47:38 2020-12-16 20:16:50 [INFO] [TRAIN] epoch=77, iter=28280/80000, loss=0.2575, lr=0.006753, batch_cost=0.6167, reader_cost=0.0705 | ETA 08:51:37 2020-12-16 20:16:56 [INFO] [TRAIN] epoch=77, iter=28290/80000, loss=0.3576, lr=0.006752, batch_cost=0.5674, reader_cost=0.0001 | ETA 08:08:59 2020-12-16 20:17:02 [INFO] [TRAIN] epoch=77, iter=28300/80000, loss=0.3149, lr=0.006751, batch_cost=0.5621, reader_cost=0.0001 | ETA 08:04:20 2020-12-16 20:17:07 [INFO] [TRAIN] epoch=77, iter=28310/80000, loss=0.1993, lr=0.006750, batch_cost=0.5534, reader_cost=0.0001 | ETA 07:56:45 2020-12-16 20:17:13 [INFO] [TRAIN] epoch=77, iter=28320/80000, loss=0.2462, lr=0.006749, batch_cost=0.5435, reader_cost=0.0001 | ETA 07:48:09 2020-12-16 20:17:18 [INFO] [TRAIN] epoch=77, iter=28330/80000, loss=0.1861, lr=0.006747, batch_cost=0.5667, reader_cost=0.0001 | ETA 08:08:01 2020-12-16 20:17:24 [INFO] [TRAIN] epoch=77, iter=28340/80000, loss=0.2686, lr=0.006746, batch_cost=0.5373, reader_cost=0.0001 | ETA 07:42:38 2020-12-16 20:17:29 [INFO] [TRAIN] epoch=77, iter=28350/80000, loss=0.2709, lr=0.006745, batch_cost=0.5559, reader_cost=0.0001 | ETA 07:58:30 2020-12-16 20:17:35 [INFO] [TRAIN] epoch=77, iter=28360/80000, loss=0.2133, lr=0.006744, batch_cost=0.5465, reader_cost=0.0001 | ETA 07:50:23 2020-12-16 20:17:40 [INFO] [TRAIN] epoch=77, iter=28370/80000, loss=0.1807, lr=0.006743, batch_cost=0.5563, reader_cost=0.0011 | ETA 07:58:41 2020-12-16 20:17:46 [INFO] [TRAIN] epoch=77, iter=28380/80000, loss=0.2126, lr=0.006742, batch_cost=0.5566, reader_cost=0.0001 | ETA 07:58:49 2020-12-16 20:17:51 [INFO] [TRAIN] epoch=77, iter=28390/80000, loss=0.2502, lr=0.006740, batch_cost=0.5508, reader_cost=0.0001 | ETA 07:53:48 2020-12-16 20:17:57 [INFO] [TRAIN] epoch=77, iter=28400/80000, loss=0.1930, lr=0.006739, batch_cost=0.5401, reader_cost=0.0001 | ETA 07:44:27 2020-12-16 20:18:02 [INFO] [TRAIN] epoch=77, iter=28410/80000, loss=0.1604, lr=0.006738, batch_cost=0.5587, reader_cost=0.0001 | ETA 08:00:24 2020-12-16 20:18:08 [INFO] [TRAIN] epoch=77, iter=28420/80000, loss=0.1910, lr=0.006737, batch_cost=0.5365, reader_cost=0.0001 | ETA 07:41:13 2020-12-16 20:18:13 [INFO] [TRAIN] epoch=77, iter=28430/80000, loss=0.2272, lr=0.006736, batch_cost=0.5458, reader_cost=0.0001 | ETA 07:49:08 2020-12-16 20:18:19 [INFO] [TRAIN] epoch=77, iter=28440/80000, loss=0.2947, lr=0.006735, batch_cost=0.5381, reader_cost=0.0001 | ETA 07:42:24 2020-12-16 20:18:24 [INFO] [TRAIN] epoch=77, iter=28450/80000, loss=0.2095, lr=0.006733, batch_cost=0.5389, reader_cost=0.0001 | ETA 07:43:01 2020-12-16 20:18:29 [INFO] [TRAIN] epoch=77, iter=28460/80000, loss=0.1695, lr=0.006732, batch_cost=0.5452, reader_cost=0.0001 | ETA 07:48:19 2020-12-16 20:18:35 [INFO] [TRAIN] epoch=77, iter=28470/80000, loss=0.1453, lr=0.006731, batch_cost=0.5394, reader_cost=0.0001 | ETA 07:43:13 2020-12-16 20:18:40 [INFO] [TRAIN] epoch=77, iter=28480/80000, loss=0.2222, lr=0.006730, batch_cost=0.5485, reader_cost=0.0002 | ETA 07:50:57 2020-12-16 20:18:46 [INFO] [TRAIN] epoch=77, iter=28490/80000, loss=0.2584, lr=0.006729, batch_cost=0.5465, reader_cost=0.0001 | ETA 07:49:10 2020-12-16 20:18:51 [INFO] [TRAIN] epoch=77, iter=28500/80000, loss=0.2110, lr=0.006727, batch_cost=0.5624, reader_cost=0.0001 | ETA 08:02:44 2020-12-16 20:18:57 [INFO] [TRAIN] epoch=77, iter=28510/80000, loss=0.2802, lr=0.006726, batch_cost=0.5467, reader_cost=0.0001 | ETA 07:49:07 2020-12-16 20:19:02 [INFO] [TRAIN] epoch=77, iter=28520/80000, loss=0.2071, lr=0.006725, batch_cost=0.5393, reader_cost=0.0001 | ETA 07:42:44 2020-12-16 20:19:08 [INFO] [TRAIN] epoch=77, iter=28530/80000, loss=0.2750, lr=0.006724, batch_cost=0.5500, reader_cost=0.0001 | ETA 07:51:49 2020-12-16 20:19:13 [INFO] [TRAIN] epoch=77, iter=28540/80000, loss=0.1663, lr=0.006723, batch_cost=0.5487, reader_cost=0.0001 | ETA 07:50:33 2020-12-16 20:19:19 [INFO] [TRAIN] epoch=77, iter=28550/80000, loss=0.2423, lr=0.006722, batch_cost=0.5580, reader_cost=0.0002 | ETA 07:58:30 2020-12-16 20:19:24 [INFO] [TRAIN] epoch=77, iter=28560/80000, loss=0.1878, lr=0.006720, batch_cost=0.5389, reader_cost=0.0005 | ETA 07:41:59 2020-12-16 20:19:30 [INFO] [TRAIN] epoch=77, iter=28570/80000, loss=0.2210, lr=0.006719, batch_cost=0.5456, reader_cost=0.0001 | ETA 07:47:41 2020-12-16 20:19:35 [INFO] [TRAIN] epoch=77, iter=28580/80000, loss=0.1660, lr=0.006718, batch_cost=0.5317, reader_cost=0.0002 | ETA 07:35:42 2020-12-16 20:19:40 [INFO] [TRAIN] epoch=77, iter=28590/80000, loss=0.2320, lr=0.006717, batch_cost=0.5399, reader_cost=0.0001 | ETA 07:42:37 2020-12-16 20:19:46 [INFO] [TRAIN] epoch=77, iter=28600/80000, loss=0.1681, lr=0.006716, batch_cost=0.5555, reader_cost=0.0001 | ETA 07:55:54 2020-12-16 20:19:51 [INFO] [TRAIN] epoch=77, iter=28610/80000, loss=0.2334, lr=0.006715, batch_cost=0.5497, reader_cost=0.0001 | ETA 07:50:47 2020-12-16 20:19:57 [INFO] [TRAIN] epoch=77, iter=28620/80000, loss=0.2021, lr=0.006713, batch_cost=0.5591, reader_cost=0.0001 | ETA 07:58:44 2020-12-16 20:20:02 [INFO] [TRAIN] epoch=77, iter=28630/80000, loss=0.2133, lr=0.006712, batch_cost=0.5459, reader_cost=0.0001 | ETA 07:47:20 2020-12-16 20:20:08 [INFO] [TRAIN] epoch=77, iter=28640/80000, loss=0.2357, lr=0.006711, batch_cost=0.5378, reader_cost=0.0001 | ETA 07:40:23 2020-12-16 20:20:14 [INFO] [TRAIN] epoch=78, iter=28650/80000, loss=0.1872, lr=0.006710, batch_cost=0.5992, reader_cost=0.0642 | ETA 08:32:50 2020-12-16 20:20:20 [INFO] [TRAIN] epoch=78, iter=28660/80000, loss=0.1798, lr=0.006709, batch_cost=0.5795, reader_cost=0.0012 | ETA 08:15:52 2020-12-16 20:20:25 [INFO] [TRAIN] epoch=78, iter=28670/80000, loss=0.2556, lr=0.006708, batch_cost=0.5617, reader_cost=0.0001 | ETA 08:00:31 2020-12-16 20:20:31 [INFO] [TRAIN] epoch=78, iter=28680/80000, loss=0.1969, lr=0.006706, batch_cost=0.5566, reader_cost=0.0001 | ETA 07:56:03 2020-12-16 20:20:36 [INFO] [TRAIN] epoch=78, iter=28690/80000, loss=0.1977, lr=0.006705, batch_cost=0.5475, reader_cost=0.0001 | ETA 07:48:11 2020-12-16 20:20:42 [INFO] [TRAIN] epoch=78, iter=28700/80000, loss=0.2255, lr=0.006704, batch_cost=0.5502, reader_cost=0.0001 | ETA 07:50:24 2020-12-16 20:20:47 [INFO] [TRAIN] epoch=78, iter=28710/80000, loss=0.2377, lr=0.006703, batch_cost=0.5602, reader_cost=0.0005 | ETA 07:58:53 2020-12-16 20:20:53 [INFO] [TRAIN] epoch=78, iter=28720/80000, loss=0.1990, lr=0.006702, batch_cost=0.5496, reader_cost=0.0001 | ETA 07:49:43 2020-12-16 20:20:58 [INFO] [TRAIN] epoch=78, iter=28730/80000, loss=0.2112, lr=0.006700, batch_cost=0.5567, reader_cost=0.0001 | ETA 07:55:42 2020-12-16 20:21:04 [INFO] [TRAIN] epoch=78, iter=28740/80000, loss=0.2585, lr=0.006699, batch_cost=0.5372, reader_cost=0.0001 | ETA 07:38:54 2020-12-16 20:21:09 [INFO] [TRAIN] epoch=78, iter=28750/80000, loss=0.1466, lr=0.006698, batch_cost=0.5524, reader_cost=0.0001 | ETA 07:51:52 2020-12-16 20:21:15 [INFO] [TRAIN] epoch=78, iter=28760/80000, loss=0.2975, lr=0.006697, batch_cost=0.5480, reader_cost=0.0001 | ETA 07:48:01 2020-12-16 20:21:20 [INFO] [TRAIN] epoch=78, iter=28770/80000, loss=0.1964, lr=0.006696, batch_cost=0.5592, reader_cost=0.0001 | ETA 07:57:25 2020-12-16 20:21:26 [INFO] [TRAIN] epoch=78, iter=28780/80000, loss=0.1933, lr=0.006695, batch_cost=0.5618, reader_cost=0.0001 | ETA 07:59:37 2020-12-16 20:21:31 [INFO] [TRAIN] epoch=78, iter=28790/80000, loss=0.1592, lr=0.006693, batch_cost=0.5473, reader_cost=0.0001 | ETA 07:47:06 2020-12-16 20:21:37 [INFO] [TRAIN] epoch=78, iter=28800/80000, loss=0.1975, lr=0.006692, batch_cost=0.5424, reader_cost=0.0002 | ETA 07:42:49 2020-12-16 20:21:42 [INFO] [TRAIN] epoch=78, iter=28810/80000, loss=0.1920, lr=0.006691, batch_cost=0.5504, reader_cost=0.0001 | ETA 07:49:33 2020-12-16 20:21:48 [INFO] [TRAIN] epoch=78, iter=28820/80000, loss=0.2121, lr=0.006690, batch_cost=0.5560, reader_cost=0.0001 | ETA 07:54:14 2020-12-16 20:21:54 [INFO] [TRAIN] epoch=78, iter=28830/80000, loss=0.2403, lr=0.006689, batch_cost=0.5532, reader_cost=0.0001 | ETA 07:51:48 2020-12-16 20:21:59 [INFO] [TRAIN] epoch=78, iter=28840/80000, loss=0.2140, lr=0.006688, batch_cost=0.5517, reader_cost=0.0001 | ETA 07:50:22 2020-12-16 20:22:04 [INFO] [TRAIN] epoch=78, iter=28850/80000, loss=0.1706, lr=0.006686, batch_cost=0.5460, reader_cost=0.0001 | ETA 07:45:25 2020-12-16 20:22:10 [INFO] [TRAIN] epoch=78, iter=28860/80000, loss=0.1891, lr=0.006685, batch_cost=0.5536, reader_cost=0.0001 | ETA 07:51:49 2020-12-16 20:22:16 [INFO] [TRAIN] epoch=78, iter=28870/80000, loss=0.1713, lr=0.006684, batch_cost=0.5591, reader_cost=0.0018 | ETA 07:56:25 2020-12-16 20:22:21 [INFO] [TRAIN] epoch=78, iter=28880/80000, loss=0.1929, lr=0.006683, batch_cost=0.5458, reader_cost=0.0001 | ETA 07:45:03 2020-12-16 20:22:27 [INFO] [TRAIN] epoch=78, iter=28890/80000, loss=0.1458, lr=0.006682, batch_cost=0.5434, reader_cost=0.0001 | ETA 07:42:50 2020-12-16 20:22:32 [INFO] [TRAIN] epoch=78, iter=28900/80000, loss=0.2394, lr=0.006680, batch_cost=0.5561, reader_cost=0.0001 | ETA 07:53:35 2020-12-16 20:22:38 [INFO] [TRAIN] epoch=78, iter=28910/80000, loss=0.2150, lr=0.006679, batch_cost=0.5516, reader_cost=0.0001 | ETA 07:49:41 2020-12-16 20:22:43 [INFO] [TRAIN] epoch=78, iter=28920/80000, loss=0.1664, lr=0.006678, batch_cost=0.5389, reader_cost=0.0001 | ETA 07:38:46 2020-12-16 20:22:48 [INFO] [TRAIN] epoch=78, iter=28930/80000, loss=0.1895, lr=0.006677, batch_cost=0.5448, reader_cost=0.0001 | ETA 07:43:41 2020-12-16 20:22:54 [INFO] [TRAIN] epoch=78, iter=28940/80000, loss=0.2146, lr=0.006676, batch_cost=0.5651, reader_cost=0.0001 | ETA 08:00:53 2020-12-16 20:23:00 [INFO] [TRAIN] epoch=78, iter=28950/80000, loss=0.2406, lr=0.006675, batch_cost=0.5511, reader_cost=0.0001 | ETA 07:48:55 2020-12-16 20:23:05 [INFO] [TRAIN] epoch=78, iter=28960/80000, loss=0.2130, lr=0.006673, batch_cost=0.5478, reader_cost=0.0002 | ETA 07:46:01 2020-12-16 20:23:11 [INFO] [TRAIN] epoch=78, iter=28970/80000, loss=0.1219, lr=0.006672, batch_cost=0.5468, reader_cost=0.0002 | ETA 07:45:01 2020-12-16 20:23:16 [INFO] [TRAIN] epoch=78, iter=28980/80000, loss=0.1655, lr=0.006671, batch_cost=0.5447, reader_cost=0.0002 | ETA 07:43:09 2020-12-16 20:23:21 [INFO] [TRAIN] epoch=78, iter=28990/80000, loss=0.1881, lr=0.006670, batch_cost=0.5430, reader_cost=0.0001 | ETA 07:41:40 2020-12-16 20:23:27 [INFO] [TRAIN] epoch=78, iter=29000/80000, loss=0.1824, lr=0.006669, batch_cost=0.5429, reader_cost=0.0001 | ETA 07:41:28 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-16 20:23:27 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 20:24:00 [INFO] [EVAL] #Images=500 mIoU=0.7513 Acc=0.9556 Kappa=0.9424 2020-12-16 20:24:00 [INFO] [EVAL] Class IoU: [0.9802 0.836 0.9135 0.4916 0.5677 0.5773 0.6794 0.7595 0.9175 0.5903 0.945 0.7953 0.5711 0.9418 0.8177 0.8172 0.6998 0.6144 0.7595] 2020-12-16 20:24:00 [INFO] [EVAL] Class Acc: [0.992 0.8937 0.9453 0.809 0.8291 0.7533 0.7843 0.9104 0.9507 0.8159 0.9736 0.8681 0.8107 0.9716 0.9065 0.8949 0.9218 0.8167 0.8591] 2020-12-16 20:24:04 [INFO] [EVAL] The model with the best validation mIoU (0.7556) was saved at iter 26000. 2020-12-16 20:24:09 [INFO] [TRAIN] epoch=78, iter=29010/80000, loss=0.1974, lr=0.006668, batch_cost=0.5359, reader_cost=0.0001 | ETA 07:35:27 2020-12-16 20:24:15 [INFO] [TRAIN] epoch=79, iter=29020/80000, loss=0.2376, lr=0.006666, batch_cost=0.5979, reader_cost=0.0635 | ETA 08:27:59 2020-12-16 20:24:21 [INFO] [TRAIN] epoch=79, iter=29030/80000, loss=0.1695, lr=0.006665, batch_cost=0.5928, reader_cost=0.0003 | ETA 08:23:34 2020-12-16 20:24:27 [INFO] [TRAIN] epoch=79, iter=29040/80000, loss=0.6040, lr=0.006664, batch_cost=0.5778, reader_cost=0.0001 | ETA 08:10:46 2020-12-16 20:24:33 [INFO] [TRAIN] epoch=79, iter=29050/80000, loss=0.1780, lr=0.006663, batch_cost=0.5576, reader_cost=0.0002 | ETA 07:53:29 2020-12-16 20:24:38 [INFO] [TRAIN] epoch=79, iter=29060/80000, loss=0.2143, lr=0.006662, batch_cost=0.5453, reader_cost=0.0001 | ETA 07:42:56 2020-12-16 20:24:44 [INFO] [TRAIN] epoch=79, iter=29070/80000, loss=0.2341, lr=0.006660, batch_cost=0.5512, reader_cost=0.0001 | ETA 07:47:54 2020-12-16 20:24:49 [INFO] [TRAIN] epoch=79, iter=29080/80000, loss=0.2248, lr=0.006659, batch_cost=0.5421, reader_cost=0.0001 | ETA 07:40:04 2020-12-16 20:24:54 [INFO] [TRAIN] epoch=79, iter=29090/80000, loss=0.1924, lr=0.006658, batch_cost=0.5462, reader_cost=0.0001 | ETA 07:43:28 2020-12-16 20:25:00 [INFO] [TRAIN] epoch=79, iter=29100/80000, loss=0.2099, lr=0.006657, batch_cost=0.5691, reader_cost=0.0001 | ETA 08:02:48 2020-12-16 20:25:06 [INFO] [TRAIN] epoch=79, iter=29110/80000, loss=0.2230, lr=0.006656, batch_cost=0.5558, reader_cost=0.0002 | ETA 07:51:27 2020-12-16 20:25:11 [INFO] [TRAIN] epoch=79, iter=29120/80000, loss=0.2174, lr=0.006655, batch_cost=0.5480, reader_cost=0.0001 | ETA 07:44:40 2020-12-16 20:25:17 [INFO] [TRAIN] epoch=79, iter=29130/80000, loss=0.2074, lr=0.006653, batch_cost=0.5594, reader_cost=0.0001 | ETA 07:54:18 2020-12-16 20:25:22 [INFO] [TRAIN] epoch=79, iter=29140/80000, loss=0.1414, lr=0.006652, batch_cost=0.5541, reader_cost=0.0001 | ETA 07:49:43 2020-12-16 20:25:28 [INFO] [TRAIN] epoch=79, iter=29150/80000, loss=0.1929, lr=0.006651, batch_cost=0.5481, reader_cost=0.0001 | ETA 07:44:28 2020-12-16 20:25:33 [INFO] [TRAIN] epoch=79, iter=29160/80000, loss=0.3422, lr=0.006650, batch_cost=0.5499, reader_cost=0.0001 | ETA 07:45:55 2020-12-16 20:25:39 [INFO] [TRAIN] epoch=79, iter=29170/80000, loss=0.2808, lr=0.006649, batch_cost=0.5303, reader_cost=0.0001 | ETA 07:29:16 2020-12-16 20:25:44 [INFO] [TRAIN] epoch=79, iter=29180/80000, loss=0.2824, lr=0.006647, batch_cost=0.5543, reader_cost=0.0003 | ETA 07:49:29 2020-12-16 20:25:50 [INFO] [TRAIN] epoch=79, iter=29190/80000, loss=0.1748, lr=0.006646, batch_cost=0.5414, reader_cost=0.0002 | ETA 07:38:30 2020-12-16 20:25:55 [INFO] [TRAIN] epoch=79, iter=29200/80000, loss=0.2584, lr=0.006645, batch_cost=0.5385, reader_cost=0.0001 | ETA 07:35:57 2020-12-16 20:26:01 [INFO] [TRAIN] epoch=79, iter=29210/80000, loss=0.3298, lr=0.006644, batch_cost=0.5616, reader_cost=0.0001 | ETA 07:55:24 2020-12-16 20:26:06 [INFO] [TRAIN] epoch=79, iter=29220/80000, loss=0.2257, lr=0.006643, batch_cost=0.5449, reader_cost=0.0001 | ETA 07:41:10 2020-12-16 20:26:12 [INFO] [TRAIN] epoch=79, iter=29230/80000, loss=0.3431, lr=0.006642, batch_cost=0.5575, reader_cost=0.0001 | ETA 07:51:46 2020-12-16 20:26:17 [INFO] [TRAIN] epoch=79, iter=29240/80000, loss=0.2220, lr=0.006640, batch_cost=0.5431, reader_cost=0.0001 | ETA 07:39:29 2020-12-16 20:26:22 [INFO] [TRAIN] epoch=79, iter=29250/80000, loss=0.2526, lr=0.006639, batch_cost=0.5420, reader_cost=0.0011 | ETA 07:38:26 2020-12-16 20:26:28 [INFO] [TRAIN] epoch=79, iter=29260/80000, loss=0.2015, lr=0.006638, batch_cost=0.5586, reader_cost=0.0001 | ETA 07:52:23 2020-12-16 20:26:34 [INFO] [TRAIN] epoch=79, iter=29270/80000, loss=0.1583, lr=0.006637, batch_cost=0.5562, reader_cost=0.0003 | ETA 07:50:17 2020-12-16 20:26:39 [INFO] [TRAIN] epoch=79, iter=29280/80000, loss=0.2027, lr=0.006636, batch_cost=0.5440, reader_cost=0.0002 | ETA 07:39:52 2020-12-16 20:26:44 [INFO] [TRAIN] epoch=79, iter=29290/80000, loss=0.2278, lr=0.006635, batch_cost=0.5449, reader_cost=0.0001 | ETA 07:40:31 2020-12-16 20:26:50 [INFO] [TRAIN] epoch=79, iter=29300/80000, loss=0.3083, lr=0.006633, batch_cost=0.5483, reader_cost=0.0001 | ETA 07:43:16 2020-12-16 20:26:56 [INFO] [TRAIN] epoch=79, iter=29310/80000, loss=0.1732, lr=0.006632, batch_cost=0.5585, reader_cost=0.0004 | ETA 07:51:51 2020-12-16 20:27:01 [INFO] [TRAIN] epoch=79, iter=29320/80000, loss=0.3528, lr=0.006631, batch_cost=0.5516, reader_cost=0.0001 | ETA 07:45:53 2020-12-16 20:27:07 [INFO] [TRAIN] epoch=79, iter=29330/80000, loss=0.2467, lr=0.006630, batch_cost=0.5550, reader_cost=0.0001 | ETA 07:48:39 2020-12-16 20:27:12 [INFO] [TRAIN] epoch=79, iter=29340/80000, loss=0.1588, lr=0.006629, batch_cost=0.5396, reader_cost=0.0001 | ETA 07:35:35 2020-12-16 20:27:17 [INFO] [TRAIN] epoch=79, iter=29350/80000, loss=0.2200, lr=0.006627, batch_cost=0.5395, reader_cost=0.0001 | ETA 07:35:26 2020-12-16 20:27:23 [INFO] [TRAIN] epoch=79, iter=29360/80000, loss=0.1792, lr=0.006626, batch_cost=0.5384, reader_cost=0.0001 | ETA 07:34:23 2020-12-16 20:27:28 [INFO] [TRAIN] epoch=79, iter=29370/80000, loss=0.1909, lr=0.006625, batch_cost=0.5567, reader_cost=0.0001 | ETA 07:49:45 2020-12-16 20:27:34 [INFO] [TRAIN] epoch=79, iter=29380/80000, loss=0.2403, lr=0.006624, batch_cost=0.5358, reader_cost=0.0003 | ETA 07:32:01 2020-12-16 20:27:40 [INFO] [TRAIN] epoch=80, iter=29390/80000, loss=0.2180, lr=0.006623, batch_cost=0.5991, reader_cost=0.0858 | ETA 08:25:21 2020-12-16 20:27:45 [INFO] [TRAIN] epoch=80, iter=29400/80000, loss=0.1491, lr=0.006622, batch_cost=0.5808, reader_cost=0.0017 | ETA 08:09:49 2020-12-16 20:27:51 [INFO] [TRAIN] epoch=80, iter=29410/80000, loss=0.1861, lr=0.006620, batch_cost=0.5739, reader_cost=0.0001 | ETA 08:03:51 2020-12-16 20:27:57 [INFO] [TRAIN] epoch=80, iter=29420/80000, loss=0.1717, lr=0.006619, batch_cost=0.5464, reader_cost=0.0001 | ETA 07:40:37 2020-12-16 20:28:02 [INFO] [TRAIN] epoch=80, iter=29430/80000, loss=0.2380, lr=0.006618, batch_cost=0.5385, reader_cost=0.0001 | ETA 07:33:53 2020-12-16 20:28:07 [INFO] [TRAIN] epoch=80, iter=29440/80000, loss=0.3312, lr=0.006617, batch_cost=0.5414, reader_cost=0.0001 | ETA 07:36:15 2020-12-16 20:28:13 [INFO] [TRAIN] epoch=80, iter=29450/80000, loss=0.3444, lr=0.006616, batch_cost=0.5531, reader_cost=0.0001 | ETA 07:45:57 2020-12-16 20:28:18 [INFO] [TRAIN] epoch=80, iter=29460/80000, loss=0.2244, lr=0.006615, batch_cost=0.5453, reader_cost=0.0001 | ETA 07:39:21 2020-12-16 20:28:24 [INFO] [TRAIN] epoch=80, iter=29470/80000, loss=0.1969, lr=0.006613, batch_cost=0.5490, reader_cost=0.0001 | ETA 07:42:22 2020-12-16 20:28:29 [INFO] [TRAIN] epoch=80, iter=29480/80000, loss=0.1771, lr=0.006612, batch_cost=0.5493, reader_cost=0.0001 | ETA 07:42:31 2020-12-16 20:28:35 [INFO] [TRAIN] epoch=80, iter=29490/80000, loss=0.1711, lr=0.006611, batch_cost=0.5463, reader_cost=0.0001 | ETA 07:39:54 2020-12-16 20:28:40 [INFO] [TRAIN] epoch=80, iter=29500/80000, loss=0.1722, lr=0.006610, batch_cost=0.5566, reader_cost=0.0001 | ETA 07:48:27 2020-12-16 20:28:46 [INFO] [TRAIN] epoch=80, iter=29510/80000, loss=0.1668, lr=0.006609, batch_cost=0.5546, reader_cost=0.0001 | ETA 07:46:41 2020-12-16 20:28:51 [INFO] [TRAIN] epoch=80, iter=29520/80000, loss=0.2449, lr=0.006607, batch_cost=0.5444, reader_cost=0.0001 | ETA 07:38:01 2020-12-16 20:28:57 [INFO] [TRAIN] epoch=80, iter=29530/80000, loss=0.1796, lr=0.006606, batch_cost=0.5536, reader_cost=0.0001 | ETA 07:45:40 2020-12-16 20:29:02 [INFO] [TRAIN] epoch=80, iter=29540/80000, loss=0.1873, lr=0.006605, batch_cost=0.5430, reader_cost=0.0003 | ETA 07:36:38 2020-12-16 20:29:08 [INFO] [TRAIN] epoch=80, iter=29550/80000, loss=0.1841, lr=0.006604, batch_cost=0.5496, reader_cost=0.0002 | ETA 07:42:09 2020-12-16 20:29:13 [INFO] [TRAIN] epoch=80, iter=29560/80000, loss=0.2296, lr=0.006603, batch_cost=0.5432, reader_cost=0.0001 | ETA 07:36:37 2020-12-16 20:29:19 [INFO] [TRAIN] epoch=80, iter=29570/80000, loss=0.2800, lr=0.006602, batch_cost=0.5639, reader_cost=0.0002 | ETA 07:53:58 2020-12-16 20:29:25 [INFO] [TRAIN] epoch=80, iter=29580/80000, loss=0.1859, lr=0.006600, batch_cost=0.5519, reader_cost=0.0001 | ETA 07:43:45 2020-12-16 20:29:30 [INFO] [TRAIN] epoch=80, iter=29590/80000, loss=0.1731, lr=0.006599, batch_cost=0.5522, reader_cost=0.0014 | ETA 07:43:55 2020-12-16 20:29:35 [INFO] [TRAIN] epoch=80, iter=29600/80000, loss=0.2203, lr=0.006598, batch_cost=0.5376, reader_cost=0.0001 | ETA 07:31:35 2020-12-16 20:29:41 [INFO] [TRAIN] epoch=80, iter=29610/80000, loss=0.1857, lr=0.006597, batch_cost=0.5467, reader_cost=0.0002 | ETA 07:39:10 2020-12-16 20:29:47 [INFO] [TRAIN] epoch=80, iter=29620/80000, loss=0.1830, lr=0.006596, batch_cost=0.5612, reader_cost=0.0002 | ETA 07:51:15 2020-12-16 20:29:52 [INFO] [TRAIN] epoch=80, iter=29630/80000, loss=0.1875, lr=0.006594, batch_cost=0.5405, reader_cost=0.0003 | ETA 07:33:46 2020-12-16 20:29:58 [INFO] [TRAIN] epoch=80, iter=29640/80000, loss=0.3067, lr=0.006593, batch_cost=0.5614, reader_cost=0.0001 | ETA 07:51:12 2020-12-16 20:30:03 [INFO] [TRAIN] epoch=80, iter=29650/80000, loss=0.1471, lr=0.006592, batch_cost=0.5507, reader_cost=0.0001 | ETA 07:42:07 2020-12-16 20:30:09 [INFO] [TRAIN] epoch=80, iter=29660/80000, loss=0.2271, lr=0.006591, batch_cost=0.5489, reader_cost=0.0002 | ETA 07:40:32 2020-12-16 20:30:14 [INFO] [TRAIN] epoch=80, iter=29670/80000, loss=0.1878, lr=0.006590, batch_cost=0.5660, reader_cost=0.0001 | ETA 07:54:46 2020-12-16 20:30:20 [INFO] [TRAIN] epoch=80, iter=29680/80000, loss=0.2432, lr=0.006589, batch_cost=0.5406, reader_cost=0.0001 | ETA 07:33:24 2020-12-16 20:30:25 [INFO] [TRAIN] epoch=80, iter=29690/80000, loss=0.2287, lr=0.006587, batch_cost=0.5489, reader_cost=0.0001 | ETA 07:40:15 2020-12-16 20:30:31 [INFO] [TRAIN] epoch=80, iter=29700/80000, loss=0.2547, lr=0.006586, batch_cost=0.5472, reader_cost=0.0001 | ETA 07:38:45 2020-12-16 20:30:36 [INFO] [TRAIN] epoch=80, iter=29710/80000, loss=0.2533, lr=0.006585, batch_cost=0.5448, reader_cost=0.0001 | ETA 07:36:36 2020-12-16 20:30:41 [INFO] [TRAIN] epoch=80, iter=29720/80000, loss=0.1717, lr=0.006584, batch_cost=0.5345, reader_cost=0.0001 | ETA 07:27:55 2020-12-16 20:30:47 [INFO] [TRAIN] epoch=80, iter=29730/80000, loss=0.2199, lr=0.006583, batch_cost=0.5537, reader_cost=0.0001 | ETA 07:43:56 2020-12-16 20:30:52 [INFO] [TRAIN] epoch=80, iter=29740/80000, loss=0.1613, lr=0.006582, batch_cost=0.5381, reader_cost=0.0001 | ETA 07:30:46 2020-12-16 20:30:58 [INFO] [TRAIN] epoch=80, iter=29750/80000, loss=0.2249, lr=0.006580, batch_cost=0.5561, reader_cost=0.0001 | ETA 07:45:46 2020-12-16 20:31:03 [INFO] [TRAIN] epoch=80, iter=29760/80000, loss=0.2248, lr=0.006579, batch_cost=0.5033, reader_cost=0.0010 | ETA 07:01:26 2020-12-16 20:31:09 [INFO] [TRAIN] epoch=81, iter=29770/80000, loss=0.2304, lr=0.006578, batch_cost=0.6345, reader_cost=0.0390 | ETA 08:51:10 2020-12-16 20:31:15 [INFO] [TRAIN] epoch=81, iter=29780/80000, loss=0.1986, lr=0.006577, batch_cost=0.5599, reader_cost=0.0001 | ETA 07:48:38 2020-12-16 20:31:20 [INFO] [TRAIN] epoch=81, iter=29790/80000, loss=0.2101, lr=0.006576, batch_cost=0.5534, reader_cost=0.0002 | ETA 07:43:07 2020-12-16 20:31:26 [INFO] [TRAIN] epoch=81, iter=29800/80000, loss=0.1640, lr=0.006574, batch_cost=0.5382, reader_cost=0.0001 | ETA 07:30:16 2020-12-16 20:31:31 [INFO] [TRAIN] epoch=81, iter=29810/80000, loss=0.1937, lr=0.006573, batch_cost=0.5426, reader_cost=0.0001 | ETA 07:33:54 2020-12-16 20:31:37 [INFO] [TRAIN] epoch=81, iter=29820/80000, loss=0.1722, lr=0.006572, batch_cost=0.5607, reader_cost=0.0001 | ETA 07:48:55 2020-12-16 20:31:42 [INFO] [TRAIN] epoch=81, iter=29830/80000, loss=0.1755, lr=0.006571, batch_cost=0.5627, reader_cost=0.0001 | ETA 07:50:29 2020-12-16 20:31:48 [INFO] [TRAIN] epoch=81, iter=29840/80000, loss=0.1458, lr=0.006570, batch_cost=0.5544, reader_cost=0.0001 | ETA 07:43:26 2020-12-16 20:31:53 [INFO] [TRAIN] epoch=81, iter=29850/80000, loss=0.2069, lr=0.006569, batch_cost=0.5503, reader_cost=0.0001 | ETA 07:39:57 2020-12-16 20:31:59 [INFO] [TRAIN] epoch=81, iter=29860/80000, loss=0.2687, lr=0.006567, batch_cost=0.5609, reader_cost=0.0001 | ETA 07:48:45 2020-12-16 20:32:05 [INFO] [TRAIN] epoch=81, iter=29870/80000, loss=0.1818, lr=0.006566, batch_cost=0.5595, reader_cost=0.0001 | ETA 07:47:28 2020-12-16 20:32:10 [INFO] [TRAIN] epoch=81, iter=29880/80000, loss=0.1637, lr=0.006565, batch_cost=0.5478, reader_cost=0.0003 | ETA 07:37:37 2020-12-16 20:32:16 [INFO] [TRAIN] epoch=81, iter=29890/80000, loss=0.2046, lr=0.006564, batch_cost=0.5484, reader_cost=0.0001 | ETA 07:38:01 2020-12-16 20:32:21 [INFO] [TRAIN] epoch=81, iter=29900/80000, loss=0.2147, lr=0.006563, batch_cost=0.5432, reader_cost=0.0013 | ETA 07:33:34 2020-12-16 20:32:26 [INFO] [TRAIN] epoch=81, iter=29910/80000, loss=0.2498, lr=0.006561, batch_cost=0.5390, reader_cost=0.0003 | ETA 07:30:00 2020-12-16 20:32:32 [INFO] [TRAIN] epoch=81, iter=29920/80000, loss=0.1913, lr=0.006560, batch_cost=0.5396, reader_cost=0.0003 | ETA 07:30:24 2020-12-16 20:32:37 [INFO] [TRAIN] epoch=81, iter=29930/80000, loss=0.2082, lr=0.006559, batch_cost=0.5605, reader_cost=0.0001 | ETA 07:47:46 2020-12-16 20:32:43 [INFO] [TRAIN] epoch=81, iter=29940/80000, loss=0.1903, lr=0.006558, batch_cost=0.5516, reader_cost=0.0001 | ETA 07:40:15 2020-12-16 20:32:48 [INFO] [TRAIN] epoch=81, iter=29950/80000, loss=0.1537, lr=0.006557, batch_cost=0.5350, reader_cost=0.0001 | ETA 07:26:17 2020-12-16 20:32:54 [INFO] [TRAIN] epoch=81, iter=29960/80000, loss=0.2531, lr=0.006556, batch_cost=0.5377, reader_cost=0.0001 | ETA 07:28:27 2020-12-16 20:32:59 [INFO] [TRAIN] epoch=81, iter=29970/80000, loss=0.1881, lr=0.006554, batch_cost=0.5406, reader_cost=0.0001 | ETA 07:30:45 2020-12-16 20:33:05 [INFO] [TRAIN] epoch=81, iter=29980/80000, loss=0.2392, lr=0.006553, batch_cost=0.5637, reader_cost=0.0001 | ETA 07:49:56 2020-12-16 20:33:10 [INFO] [TRAIN] epoch=81, iter=29990/80000, loss=0.2917, lr=0.006552, batch_cost=0.5637, reader_cost=0.0001 | ETA 07:49:52 2020-12-16 20:33:16 [INFO] [TRAIN] epoch=81, iter=30000/80000, loss=0.2125, lr=0.006551, batch_cost=0.5354, reader_cost=0.0001 | ETA 07:26:07 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 20:33:16 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 20:33:50 [INFO] [EVAL] #Images=500 mIoU=0.7445 Acc=0.9546 Kappa=0.9410 2020-12-16 20:33:50 [INFO] [EVAL] Class IoU: [0.9801 0.8387 0.9066 0.3373 0.5276 0.5703 0.6833 0.7632 0.9186 0.6307 0.9448 0.7971 0.5656 0.9412 0.7983 0.8444 0.7491 0.5901 0.7592] 2020-12-16 20:33:50 [INFO] [EVAL] Class Acc: [0.9933 0.8998 0.9333 0.8372 0.819 0.7617 0.8383 0.9013 0.9515 0.8625 0.9743 0.8668 0.8188 0.9648 0.9437 0.934 0.8671 0.773 0.8582] 2020-12-16 20:33:54 [INFO] [EVAL] The model with the best validation mIoU (0.7556) was saved at iter 26000. 2020-12-16 20:33:59 [INFO] [TRAIN] epoch=81, iter=30010/80000, loss=0.1676, lr=0.006550, batch_cost=0.5333, reader_cost=0.0001 | ETA 07:24:18 2020-12-16 20:34:04 [INFO] [TRAIN] epoch=81, iter=30020/80000, loss=0.2795, lr=0.006549, batch_cost=0.5407, reader_cost=0.0001 | ETA 07:30:22 2020-12-16 20:34:10 [INFO] [TRAIN] epoch=81, iter=30030/80000, loss=0.2139, lr=0.006547, batch_cost=0.5551, reader_cost=0.0001 | ETA 07:42:19 2020-12-16 20:34:15 [INFO] [TRAIN] epoch=81, iter=30040/80000, loss=0.2229, lr=0.006546, batch_cost=0.5533, reader_cost=0.0001 | ETA 07:40:41 2020-12-16 20:34:21 [INFO] [TRAIN] epoch=81, iter=30050/80000, loss=0.1984, lr=0.006545, batch_cost=0.5503, reader_cost=0.0001 | ETA 07:38:05 2020-12-16 20:34:26 [INFO] [TRAIN] epoch=81, iter=30060/80000, loss=0.2046, lr=0.006544, batch_cost=0.5478, reader_cost=0.0002 | ETA 07:35:55 2020-12-16 20:34:32 [INFO] [TRAIN] epoch=81, iter=30070/80000, loss=0.1687, lr=0.006543, batch_cost=0.5483, reader_cost=0.0001 | ETA 07:36:15 2020-12-16 20:34:37 [INFO] [TRAIN] epoch=81, iter=30080/80000, loss=0.3351, lr=0.006541, batch_cost=0.5458, reader_cost=0.0001 | ETA 07:34:07 2020-12-16 20:34:43 [INFO] [TRAIN] epoch=81, iter=30090/80000, loss=0.2416, lr=0.006540, batch_cost=0.5609, reader_cost=0.0002 | ETA 07:46:32 2020-12-16 20:34:48 [INFO] [TRAIN] epoch=81, iter=30100/80000, loss=0.1882, lr=0.006539, batch_cost=0.5440, reader_cost=0.0001 | ETA 07:32:28 2020-12-16 20:34:54 [INFO] [TRAIN] epoch=81, iter=30110/80000, loss=0.1815, lr=0.006538, batch_cost=0.5605, reader_cost=0.0001 | ETA 07:46:04 2020-12-16 20:35:00 [INFO] [TRAIN] epoch=81, iter=30120/80000, loss=0.1474, lr=0.006537, batch_cost=0.5526, reader_cost=0.0001 | ETA 07:39:23 2020-12-16 20:35:05 [INFO] [TRAIN] epoch=81, iter=30130/80000, loss=0.2101, lr=0.006536, batch_cost=0.5339, reader_cost=0.0001 | ETA 07:23:47 2020-12-16 20:35:11 [INFO] [TRAIN] epoch=82, iter=30140/80000, loss=0.2515, lr=0.006534, batch_cost=0.6115, reader_cost=0.0620 | ETA 08:28:10 2020-12-16 20:35:17 [INFO] [TRAIN] epoch=82, iter=30150/80000, loss=0.2082, lr=0.006533, batch_cost=0.5818, reader_cost=0.0001 | ETA 08:03:22 2020-12-16 20:35:23 [INFO] [TRAIN] epoch=82, iter=30160/80000, loss=0.2117, lr=0.006532, batch_cost=0.5845, reader_cost=0.0001 | ETA 08:05:29 2020-12-16 20:35:28 [INFO] [TRAIN] epoch=82, iter=30170/80000, loss=0.3004, lr=0.006531, batch_cost=0.5550, reader_cost=0.0001 | ETA 07:40:54 2020-12-16 20:35:34 [INFO] [TRAIN] epoch=82, iter=30180/80000, loss=0.1933, lr=0.006530, batch_cost=0.5545, reader_cost=0.0001 | ETA 07:40:25 2020-12-16 20:35:39 [INFO] [TRAIN] epoch=82, iter=30190/80000, loss=0.2055, lr=0.006528, batch_cost=0.5453, reader_cost=0.0001 | ETA 07:32:42 2020-12-16 20:35:45 [INFO] [TRAIN] epoch=82, iter=30200/80000, loss=0.1911, lr=0.006527, batch_cost=0.5424, reader_cost=0.0001 | ETA 07:30:10 2020-12-16 20:35:50 [INFO] [TRAIN] epoch=82, iter=30210/80000, loss=0.2111, lr=0.006526, batch_cost=0.5506, reader_cost=0.0001 | ETA 07:36:54 2020-12-16 20:35:56 [INFO] [TRAIN] epoch=82, iter=30220/80000, loss=0.1991, lr=0.006525, batch_cost=0.5574, reader_cost=0.0001 | ETA 07:42:28 2020-12-16 20:36:01 [INFO] [TRAIN] epoch=82, iter=30230/80000, loss=0.1801, lr=0.006524, batch_cost=0.5537, reader_cost=0.0001 | ETA 07:39:16 2020-12-16 20:36:07 [INFO] [TRAIN] epoch=82, iter=30240/80000, loss=0.1937, lr=0.006523, batch_cost=0.5370, reader_cost=0.0002 | ETA 07:25:20 2020-12-16 20:36:12 [INFO] [TRAIN] epoch=82, iter=30250/80000, loss=0.1557, lr=0.006521, batch_cost=0.5512, reader_cost=0.0004 | ETA 07:37:00 2020-12-16 20:36:18 [INFO] [TRAIN] epoch=82, iter=30260/80000, loss=0.2129, lr=0.006520, batch_cost=0.5528, reader_cost=0.0001 | ETA 07:38:18 2020-12-16 20:36:23 [INFO] [TRAIN] epoch=82, iter=30270/80000, loss=0.2012, lr=0.006519, batch_cost=0.5503, reader_cost=0.0001 | ETA 07:36:06 2020-12-16 20:36:29 [INFO] [TRAIN] epoch=82, iter=30280/80000, loss=0.1790, lr=0.006518, batch_cost=0.5588, reader_cost=0.0006 | ETA 07:43:04 2020-12-16 20:36:34 [INFO] [TRAIN] epoch=82, iter=30290/80000, loss=0.2113, lr=0.006517, batch_cost=0.5447, reader_cost=0.0001 | ETA 07:31:16 2020-12-16 20:36:40 [INFO] [TRAIN] epoch=82, iter=30300/80000, loss=0.2098, lr=0.006515, batch_cost=0.5508, reader_cost=0.0001 | ETA 07:36:14 2020-12-16 20:36:45 [INFO] [TRAIN] epoch=82, iter=30310/80000, loss=0.2756, lr=0.006514, batch_cost=0.5637, reader_cost=0.0001 | ETA 07:46:52 2020-12-16 20:36:51 [INFO] [TRAIN] epoch=82, iter=30320/80000, loss=0.2644, lr=0.006513, batch_cost=0.5479, reader_cost=0.0003 | ETA 07:33:37 2020-12-16 20:36:56 [INFO] [TRAIN] epoch=82, iter=30330/80000, loss=0.1649, lr=0.006512, batch_cost=0.5413, reader_cost=0.0001 | ETA 07:28:07 2020-12-16 20:37:02 [INFO] [TRAIN] epoch=82, iter=30340/80000, loss=0.2465, lr=0.006511, batch_cost=0.5509, reader_cost=0.0001 | ETA 07:35:56 2020-12-16 20:37:07 [INFO] [TRAIN] epoch=82, iter=30350/80000, loss=0.1720, lr=0.006510, batch_cost=0.5410, reader_cost=0.0001 | ETA 07:27:40 2020-12-16 20:37:13 [INFO] [TRAIN] epoch=82, iter=30360/80000, loss=0.1883, lr=0.006508, batch_cost=0.5587, reader_cost=0.0001 | ETA 07:42:13 2020-12-16 20:37:18 [INFO] [TRAIN] epoch=82, iter=30370/80000, loss=0.1745, lr=0.006507, batch_cost=0.5518, reader_cost=0.0002 | ETA 07:36:27 2020-12-16 20:37:24 [INFO] [TRAIN] epoch=82, iter=30380/80000, loss=0.2197, lr=0.006506, batch_cost=0.5504, reader_cost=0.0022 | ETA 07:35:08 2020-12-16 20:37:29 [INFO] [TRAIN] epoch=82, iter=30390/80000, loss=0.1935, lr=0.006505, batch_cost=0.5440, reader_cost=0.0001 | ETA 07:29:46 2020-12-16 20:37:35 [INFO] [TRAIN] epoch=82, iter=30400/80000, loss=0.2319, lr=0.006504, batch_cost=0.5625, reader_cost=0.0001 | ETA 07:44:58 2020-12-16 20:37:40 [INFO] [TRAIN] epoch=82, iter=30410/80000, loss=0.1781, lr=0.006503, batch_cost=0.5423, reader_cost=0.0001 | ETA 07:28:12 2020-12-16 20:37:46 [INFO] [TRAIN] epoch=82, iter=30420/80000, loss=0.1915, lr=0.006501, batch_cost=0.5454, reader_cost=0.0001 | ETA 07:30:40 2020-12-16 20:37:51 [INFO] [TRAIN] epoch=82, iter=30430/80000, loss=0.2048, lr=0.006500, batch_cost=0.5521, reader_cost=0.0003 | ETA 07:36:09 2020-12-16 20:37:57 [INFO] [TRAIN] epoch=82, iter=30440/80000, loss=0.1667, lr=0.006499, batch_cost=0.5752, reader_cost=0.0001 | ETA 07:55:06 2020-12-16 20:38:03 [INFO] [TRAIN] epoch=82, iter=30450/80000, loss=0.2302, lr=0.006498, batch_cost=0.5655, reader_cost=0.0001 | ETA 07:46:59 2020-12-16 20:38:08 [INFO] [TRAIN] epoch=82, iter=30460/80000, loss=0.2599, lr=0.006497, batch_cost=0.5479, reader_cost=0.0001 | ETA 07:32:20 2020-12-16 20:38:14 [INFO] [TRAIN] epoch=82, iter=30470/80000, loss=0.2552, lr=0.006495, batch_cost=0.5409, reader_cost=0.0001 | ETA 07:26:30 2020-12-16 20:38:19 [INFO] [TRAIN] epoch=82, iter=30480/80000, loss=0.1890, lr=0.006494, batch_cost=0.5478, reader_cost=0.0001 | ETA 07:32:07 2020-12-16 20:38:25 [INFO] [TRAIN] epoch=82, iter=30490/80000, loss=0.1872, lr=0.006493, batch_cost=0.5602, reader_cost=0.0001 | ETA 07:42:13 2020-12-16 20:38:30 [INFO] [TRAIN] epoch=82, iter=30500/80000, loss=0.2547, lr=0.006492, batch_cost=0.5445, reader_cost=0.0001 | ETA 07:29:13 2020-12-16 20:38:36 [INFO] [TRAIN] epoch=83, iter=30510/80000, loss=0.2274, lr=0.006491, batch_cost=0.5823, reader_cost=0.0596 | ETA 08:00:16 2020-12-16 20:38:41 [INFO] [TRAIN] epoch=83, iter=30520/80000, loss=0.1651, lr=0.006490, batch_cost=0.5491, reader_cost=0.0001 | ETA 07:32:50 2020-12-16 20:38:47 [INFO] [TRAIN] epoch=83, iter=30530/80000, loss=0.2636, lr=0.006488, batch_cost=0.5652, reader_cost=0.0002 | ETA 07:46:02 2020-12-16 20:38:53 [INFO] [TRAIN] epoch=83, iter=30540/80000, loss=0.1630, lr=0.006487, batch_cost=0.5624, reader_cost=0.0001 | ETA 07:43:34 2020-12-16 20:38:58 [INFO] [TRAIN] epoch=83, iter=30550/80000, loss=0.2166, lr=0.006486, batch_cost=0.5593, reader_cost=0.0001 | ETA 07:40:58 2020-12-16 20:39:04 [INFO] [TRAIN] epoch=83, iter=30560/80000, loss=0.1340, lr=0.006485, batch_cost=0.5547, reader_cost=0.0003 | ETA 07:37:04 2020-12-16 20:39:09 [INFO] [TRAIN] epoch=83, iter=30570/80000, loss=0.1959, lr=0.006484, batch_cost=0.5428, reader_cost=0.0001 | ETA 07:27:12 2020-12-16 20:39:15 [INFO] [TRAIN] epoch=83, iter=30580/80000, loss=0.2813, lr=0.006482, batch_cost=0.5549, reader_cost=0.0003 | ETA 07:37:02 2020-12-16 20:39:20 [INFO] [TRAIN] epoch=83, iter=30590/80000, loss=0.2368, lr=0.006481, batch_cost=0.5478, reader_cost=0.0001 | ETA 07:31:06 2020-12-16 20:39:26 [INFO] [TRAIN] epoch=83, iter=30600/80000, loss=0.3382, lr=0.006480, batch_cost=0.5506, reader_cost=0.0014 | ETA 07:33:17 2020-12-16 20:39:31 [INFO] [TRAIN] epoch=83, iter=30610/80000, loss=0.1904, lr=0.006479, batch_cost=0.5381, reader_cost=0.0001 | ETA 07:22:55 2020-12-16 20:39:37 [INFO] [TRAIN] epoch=83, iter=30620/80000, loss=0.1974, lr=0.006478, batch_cost=0.5419, reader_cost=0.0001 | ETA 07:25:59 2020-12-16 20:39:42 [INFO] [TRAIN] epoch=83, iter=30630/80000, loss=0.1956, lr=0.006477, batch_cost=0.5470, reader_cost=0.0001 | ETA 07:30:07 2020-12-16 20:39:47 [INFO] [TRAIN] epoch=83, iter=30640/80000, loss=0.1898, lr=0.006475, batch_cost=0.5400, reader_cost=0.0022 | ETA 07:24:12 2020-12-16 20:39:53 [INFO] [TRAIN] epoch=83, iter=30650/80000, loss=0.1699, lr=0.006474, batch_cost=0.5377, reader_cost=0.0001 | ETA 07:22:13 2020-12-16 20:39:58 [INFO] [TRAIN] epoch=83, iter=30660/80000, loss=0.2286, lr=0.006473, batch_cost=0.5472, reader_cost=0.0001 | ETA 07:29:58 2020-12-16 20:40:04 [INFO] [TRAIN] epoch=83, iter=30670/80000, loss=0.2863, lr=0.006472, batch_cost=0.5463, reader_cost=0.0001 | ETA 07:29:10 2020-12-16 20:40:09 [INFO] [TRAIN] epoch=83, iter=30680/80000, loss=0.1896, lr=0.006471, batch_cost=0.5443, reader_cost=0.0002 | ETA 07:27:22 2020-12-16 20:40:15 [INFO] [TRAIN] epoch=83, iter=30690/80000, loss=0.1796, lr=0.006469, batch_cost=0.5528, reader_cost=0.0001 | ETA 07:34:18 2020-12-16 20:40:20 [INFO] [TRAIN] epoch=83, iter=30700/80000, loss=0.2120, lr=0.006468, batch_cost=0.5351, reader_cost=0.0001 | ETA 07:19:41 2020-12-16 20:40:25 [INFO] [TRAIN] epoch=83, iter=30710/80000, loss=0.2050, lr=0.006467, batch_cost=0.5361, reader_cost=0.0001 | ETA 07:20:26 2020-12-16 20:40:31 [INFO] [TRAIN] epoch=83, iter=30720/80000, loss=0.1698, lr=0.006466, batch_cost=0.5444, reader_cost=0.0001 | ETA 07:27:06 2020-12-16 20:40:36 [INFO] [TRAIN] epoch=83, iter=30730/80000, loss=0.2777, lr=0.006465, batch_cost=0.5414, reader_cost=0.0001 | ETA 07:24:32 2020-12-16 20:40:42 [INFO] [TRAIN] epoch=83, iter=30740/80000, loss=0.2735, lr=0.006464, batch_cost=0.5524, reader_cost=0.0001 | ETA 07:33:30 2020-12-16 20:40:47 [INFO] [TRAIN] epoch=83, iter=30750/80000, loss=0.2005, lr=0.006462, batch_cost=0.5500, reader_cost=0.0001 | ETA 07:31:28 2020-12-16 20:40:53 [INFO] [TRAIN] epoch=83, iter=30760/80000, loss=0.2517, lr=0.006461, batch_cost=0.5496, reader_cost=0.0003 | ETA 07:31:02 2020-12-16 20:40:58 [INFO] [TRAIN] epoch=83, iter=30770/80000, loss=0.2100, lr=0.006460, batch_cost=0.5420, reader_cost=0.0002 | ETA 07:24:43 2020-12-16 20:41:04 [INFO] [TRAIN] epoch=83, iter=30780/80000, loss=0.2145, lr=0.006459, batch_cost=0.5545, reader_cost=0.0001 | ETA 07:34:51 2020-12-16 20:41:09 [INFO] [TRAIN] epoch=83, iter=30790/80000, loss=0.2205, lr=0.006458, batch_cost=0.5454, reader_cost=0.0001 | ETA 07:27:18 2020-12-16 20:41:15 [INFO] [TRAIN] epoch=83, iter=30800/80000, loss=0.2146, lr=0.006456, batch_cost=0.5483, reader_cost=0.0001 | ETA 07:29:33 2020-12-16 20:41:20 [INFO] [TRAIN] epoch=83, iter=30810/80000, loss=0.2047, lr=0.006455, batch_cost=0.5346, reader_cost=0.0001 | ETA 07:18:17 2020-12-16 20:41:26 [INFO] [TRAIN] epoch=83, iter=30820/80000, loss=0.2082, lr=0.006454, batch_cost=0.5514, reader_cost=0.0001 | ETA 07:31:55 2020-12-16 20:41:31 [INFO] [TRAIN] epoch=83, iter=30830/80000, loss=0.1440, lr=0.006453, batch_cost=0.5629, reader_cost=0.0002 | ETA 07:41:17 2020-12-16 20:41:37 [INFO] [TRAIN] epoch=83, iter=30840/80000, loss=0.1590, lr=0.006452, batch_cost=0.5495, reader_cost=0.0001 | ETA 07:30:14 2020-12-16 20:41:42 [INFO] [TRAIN] epoch=83, iter=30850/80000, loss=0.2480, lr=0.006451, batch_cost=0.5342, reader_cost=0.0001 | ETA 07:17:37 2020-12-16 20:41:47 [INFO] [TRAIN] epoch=83, iter=30860/80000, loss=0.1837, lr=0.006449, batch_cost=0.5387, reader_cost=0.0001 | ETA 07:21:09 2020-12-16 20:41:53 [INFO] [TRAIN] epoch=83, iter=30870/80000, loss=0.1524, lr=0.006448, batch_cost=0.5382, reader_cost=0.0001 | ETA 07:20:42 2020-12-16 20:41:59 [INFO] [TRAIN] epoch=84, iter=30880/80000, loss=0.2198, lr=0.006447, batch_cost=0.6264, reader_cost=0.0405 | ETA 08:32:46 2020-12-16 20:42:05 [INFO] [TRAIN] epoch=84, iter=30890/80000, loss=0.2010, lr=0.006446, batch_cost=0.5662, reader_cost=0.0001 | ETA 07:43:27 2020-12-16 20:42:10 [INFO] [TRAIN] epoch=84, iter=30900/80000, loss=0.2491, lr=0.006445, batch_cost=0.5605, reader_cost=0.0001 | ETA 07:38:40 2020-12-16 20:42:16 [INFO] [TRAIN] epoch=84, iter=30910/80000, loss=0.1898, lr=0.006443, batch_cost=0.5475, reader_cost=0.0001 | ETA 07:27:56 2020-12-16 20:42:21 [INFO] [TRAIN] epoch=84, iter=30920/80000, loss=0.2175, lr=0.006442, batch_cost=0.5466, reader_cost=0.0003 | ETA 07:27:07 2020-12-16 20:42:27 [INFO] [TRAIN] epoch=84, iter=30930/80000, loss=0.1994, lr=0.006441, batch_cost=0.5691, reader_cost=0.0001 | ETA 07:45:24 2020-12-16 20:42:33 [INFO] [TRAIN] epoch=84, iter=30940/80000, loss=0.2823, lr=0.006440, batch_cost=0.5596, reader_cost=0.0001 | ETA 07:37:31 2020-12-16 20:42:38 [INFO] [TRAIN] epoch=84, iter=30950/80000, loss=0.2099, lr=0.006439, batch_cost=0.5561, reader_cost=0.0001 | ETA 07:34:38 2020-12-16 20:42:44 [INFO] [TRAIN] epoch=84, iter=30960/80000, loss=0.1823, lr=0.006438, batch_cost=0.5530, reader_cost=0.0001 | ETA 07:32:01 2020-12-16 20:42:49 [INFO] [TRAIN] epoch=84, iter=30970/80000, loss=0.2453, lr=0.006436, batch_cost=0.5406, reader_cost=0.0001 | ETA 07:21:47 2020-12-16 20:42:55 [INFO] [TRAIN] epoch=84, iter=30980/80000, loss=0.2141, lr=0.006435, batch_cost=0.5502, reader_cost=0.0001 | ETA 07:29:30 2020-12-16 20:43:00 [INFO] [TRAIN] epoch=84, iter=30990/80000, loss=0.2592, lr=0.006434, batch_cost=0.5465, reader_cost=0.0002 | ETA 07:26:22 2020-12-16 20:43:06 [INFO] [TRAIN] epoch=84, iter=31000/80000, loss=0.2712, lr=0.006433, batch_cost=0.5456, reader_cost=0.0004 | ETA 07:25:35 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 20:43:06 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 20:43:40 [INFO] [EVAL] #Images=500 mIoU=0.6542 Acc=0.9363 Kappa=0.9172 2020-12-16 20:43:40 [INFO] [EVAL] Class IoU: [0.9598 0.7324 0.8868 0.2779 0.5199 0.4932 0.6223 0.7219 0.8953 0.5071 0.9394 0.7081 0.5238 0.9038 0.7022 0.6232 0.4494 0.2493 0.7138] 2020-12-16 20:43:40 [INFO] [EVAL] Class Acc: [0.9833 0.8664 0.9144 0.7457 0.8283 0.727 0.8091 0.8873 0.9358 0.8541 0.9636 0.7796 0.711 0.9486 0.8358 0.9113 0.7945 0.2638 0.8203] 2020-12-16 20:43:44 [INFO] [EVAL] The model with the best validation mIoU (0.7556) was saved at iter 26000. 2020-12-16 20:43:49 [INFO] [TRAIN] epoch=84, iter=31010/80000, loss=0.2028, lr=0.006432, batch_cost=0.5269, reader_cost=0.0002 | ETA 07:10:12 2020-12-16 20:43:54 [INFO] [TRAIN] epoch=84, iter=31020/80000, loss=0.2239, lr=0.006430, batch_cost=0.5478, reader_cost=0.0001 | ETA 07:27:12 2020-12-16 20:44:00 [INFO] [TRAIN] epoch=84, iter=31030/80000, loss=0.2137, lr=0.006429, batch_cost=0.5354, reader_cost=0.0001 | ETA 07:16:58 2020-12-16 20:44:05 [INFO] [TRAIN] epoch=84, iter=31040/80000, loss=0.1414, lr=0.006428, batch_cost=0.5642, reader_cost=0.0001 | ETA 07:40:25 2020-12-16 20:44:11 [INFO] [TRAIN] epoch=84, iter=31050/80000, loss=0.1624, lr=0.006427, batch_cost=0.5544, reader_cost=0.0001 | ETA 07:32:15 2020-12-16 20:44:16 [INFO] [TRAIN] epoch=84, iter=31060/80000, loss=0.2269, lr=0.006426, batch_cost=0.5413, reader_cost=0.0001 | ETA 07:21:29 2020-12-16 20:44:22 [INFO] [TRAIN] epoch=84, iter=31070/80000, loss=0.1550, lr=0.006425, batch_cost=0.5417, reader_cost=0.0003 | ETA 07:21:45 2020-12-16 20:44:27 [INFO] [TRAIN] epoch=84, iter=31080/80000, loss=0.2460, lr=0.006423, batch_cost=0.5514, reader_cost=0.0001 | ETA 07:29:35 2020-12-16 20:44:33 [INFO] [TRAIN] epoch=84, iter=31090/80000, loss=0.1660, lr=0.006422, batch_cost=0.5488, reader_cost=0.0002 | ETA 07:27:22 2020-12-16 20:44:38 [INFO] [TRAIN] epoch=84, iter=31100/80000, loss=0.3995, lr=0.006421, batch_cost=0.5480, reader_cost=0.0001 | ETA 07:26:38 2020-12-16 20:44:44 [INFO] [TRAIN] epoch=84, iter=31110/80000, loss=0.1266, lr=0.006420, batch_cost=0.5509, reader_cost=0.0001 | ETA 07:28:53 2020-12-16 20:44:49 [INFO] [TRAIN] epoch=84, iter=31120/80000, loss=0.2557, lr=0.006419, batch_cost=0.5550, reader_cost=0.0002 | ETA 07:32:08 2020-12-16 20:44:55 [INFO] [TRAIN] epoch=84, iter=31130/80000, loss=0.1590, lr=0.006417, batch_cost=0.5547, reader_cost=0.0001 | ETA 07:31:50 2020-12-16 20:45:00 [INFO] [TRAIN] epoch=84, iter=31140/80000, loss=0.2487, lr=0.006416, batch_cost=0.5452, reader_cost=0.0001 | ETA 07:23:56 2020-12-16 20:45:06 [INFO] [TRAIN] epoch=84, iter=31150/80000, loss=0.2890, lr=0.006415, batch_cost=0.5405, reader_cost=0.0004 | ETA 07:20:03 2020-12-16 20:45:11 [INFO] [TRAIN] epoch=84, iter=31160/80000, loss=0.2942, lr=0.006414, batch_cost=0.5609, reader_cost=0.0001 | ETA 07:36:35 2020-12-16 20:45:17 [INFO] [TRAIN] epoch=84, iter=31170/80000, loss=0.2122, lr=0.006413, batch_cost=0.5428, reader_cost=0.0001 | ETA 07:21:43 2020-12-16 20:45:22 [INFO] [TRAIN] epoch=84, iter=31180/80000, loss=0.2257, lr=0.006412, batch_cost=0.5427, reader_cost=0.0001 | ETA 07:21:32 2020-12-16 20:45:27 [INFO] [TRAIN] epoch=84, iter=31190/80000, loss=0.1784, lr=0.006410, batch_cost=0.5374, reader_cost=0.0001 | ETA 07:17:09 2020-12-16 20:45:33 [INFO] [TRAIN] epoch=84, iter=31200/80000, loss=0.2380, lr=0.006409, batch_cost=0.5440, reader_cost=0.0001 | ETA 07:22:27 2020-12-16 20:45:39 [INFO] [TRAIN] epoch=84, iter=31210/80000, loss=0.1879, lr=0.006408, batch_cost=0.5606, reader_cost=0.0002 | ETA 07:35:54 2020-12-16 20:45:44 [INFO] [TRAIN] epoch=84, iter=31220/80000, loss=0.1860, lr=0.006407, batch_cost=0.5420, reader_cost=0.0001 | ETA 07:20:41 2020-12-16 20:45:49 [INFO] [TRAIN] epoch=84, iter=31230/80000, loss=0.1881, lr=0.006406, batch_cost=0.5402, reader_cost=0.0001 | ETA 07:19:05 2020-12-16 20:45:55 [INFO] [TRAIN] epoch=84, iter=31240/80000, loss=0.2846, lr=0.006404, batch_cost=0.5342, reader_cost=0.0001 | ETA 07:14:09 2020-12-16 20:46:01 [INFO] [TRAIN] epoch=85, iter=31250/80000, loss=0.2396, lr=0.006403, batch_cost=0.5819, reader_cost=0.0669 | ETA 07:52:47 2020-12-16 20:46:06 [INFO] [TRAIN] epoch=85, iter=31260/80000, loss=0.2416, lr=0.006402, batch_cost=0.5727, reader_cost=0.0076 | ETA 07:45:11 2020-12-16 20:46:12 [INFO] [TRAIN] epoch=85, iter=31270/80000, loss=0.2008, lr=0.006401, batch_cost=0.5574, reader_cost=0.0001 | ETA 07:32:40 2020-12-16 20:46:17 [INFO] [TRAIN] epoch=85, iter=31280/80000, loss=0.1893, lr=0.006400, batch_cost=0.5457, reader_cost=0.0001 | ETA 07:23:05 2020-12-16 20:46:23 [INFO] [TRAIN] epoch=85, iter=31290/80000, loss=0.2079, lr=0.006399, batch_cost=0.5732, reader_cost=0.0001 | ETA 07:45:19 2020-12-16 20:46:29 [INFO] [TRAIN] epoch=85, iter=31300/80000, loss=0.2963, lr=0.006397, batch_cost=0.5506, reader_cost=0.0001 | ETA 07:26:53 2020-12-16 20:46:34 [INFO] [TRAIN] epoch=85, iter=31310/80000, loss=0.1520, lr=0.006396, batch_cost=0.5562, reader_cost=0.0001 | ETA 07:31:20 2020-12-16 20:46:40 [INFO] [TRAIN] epoch=85, iter=31320/80000, loss=0.2052, lr=0.006395, batch_cost=0.5626, reader_cost=0.0001 | ETA 07:36:25 2020-12-16 20:46:45 [INFO] [TRAIN] epoch=85, iter=31330/80000, loss=0.1425, lr=0.006394, batch_cost=0.5558, reader_cost=0.0002 | ETA 07:30:51 2020-12-16 20:46:51 [INFO] [TRAIN] epoch=85, iter=31340/80000, loss=0.1952, lr=0.006393, batch_cost=0.5453, reader_cost=0.0001 | ETA 07:22:13 2020-12-16 20:46:56 [INFO] [TRAIN] epoch=85, iter=31350/80000, loss=0.2488, lr=0.006391, batch_cost=0.5520, reader_cost=0.0001 | ETA 07:27:34 2020-12-16 20:47:02 [INFO] [TRAIN] epoch=85, iter=31360/80000, loss=0.1891, lr=0.006390, batch_cost=0.5593, reader_cost=0.0001 | ETA 07:33:22 2020-12-16 20:47:07 [INFO] [TRAIN] epoch=85, iter=31370/80000, loss=0.2385, lr=0.006389, batch_cost=0.5427, reader_cost=0.0001 | ETA 07:19:53 2020-12-16 20:47:13 [INFO] [TRAIN] epoch=85, iter=31380/80000, loss=0.1537, lr=0.006388, batch_cost=0.5494, reader_cost=0.0001 | ETA 07:25:09 2020-12-16 20:47:18 [INFO] [TRAIN] epoch=85, iter=31390/80000, loss=0.2389, lr=0.006387, batch_cost=0.5371, reader_cost=0.0004 | ETA 07:15:07 2020-12-16 20:47:24 [INFO] [TRAIN] epoch=85, iter=31400/80000, loss=0.1744, lr=0.006386, batch_cost=0.5452, reader_cost=0.0001 | ETA 07:21:36 2020-12-16 20:47:29 [INFO] [TRAIN] epoch=85, iter=31410/80000, loss=0.2661, lr=0.006384, batch_cost=0.5429, reader_cost=0.0001 | ETA 07:19:41 2020-12-16 20:47:35 [INFO] [TRAIN] epoch=85, iter=31420/80000, loss=0.1778, lr=0.006383, batch_cost=0.5514, reader_cost=0.0003 | ETA 07:26:28 2020-12-16 20:47:40 [INFO] [TRAIN] epoch=85, iter=31430/80000, loss=0.2238, lr=0.006382, batch_cost=0.5492, reader_cost=0.0001 | ETA 07:24:34 2020-12-16 20:47:46 [INFO] [TRAIN] epoch=85, iter=31440/80000, loss=0.2172, lr=0.006381, batch_cost=0.5540, reader_cost=0.0001 | ETA 07:28:20 2020-12-16 20:47:51 [INFO] [TRAIN] epoch=85, iter=31450/80000, loss=0.2141, lr=0.006380, batch_cost=0.5397, reader_cost=0.0001 | ETA 07:16:44 2020-12-16 20:47:56 [INFO] [TRAIN] epoch=85, iter=31460/80000, loss=0.2264, lr=0.006378, batch_cost=0.5538, reader_cost=0.0001 | ETA 07:28:00 2020-12-16 20:48:02 [INFO] [TRAIN] epoch=85, iter=31470/80000, loss=0.2493, lr=0.006377, batch_cost=0.5422, reader_cost=0.0001 | ETA 07:18:33 2020-12-16 20:48:07 [INFO] [TRAIN] epoch=85, iter=31480/80000, loss=0.1964, lr=0.006376, batch_cost=0.5509, reader_cost=0.0001 | ETA 07:25:28 2020-12-16 20:48:13 [INFO] [TRAIN] epoch=85, iter=31490/80000, loss=0.1836, lr=0.006375, batch_cost=0.5547, reader_cost=0.0001 | ETA 07:28:27 2020-12-16 20:48:19 [INFO] [TRAIN] epoch=85, iter=31500/80000, loss=0.1773, lr=0.006374, batch_cost=0.5571, reader_cost=0.0001 | ETA 07:30:17 2020-12-16 20:48:24 [INFO] [TRAIN] epoch=85, iter=31510/80000, loss=0.2082, lr=0.006373, batch_cost=0.5360, reader_cost=0.0001 | ETA 07:13:09 2020-12-16 20:48:30 [INFO] [TRAIN] epoch=85, iter=31520/80000, loss=0.1807, lr=0.006371, batch_cost=0.5666, reader_cost=0.0001 | ETA 07:37:47 2020-12-16 20:48:35 [INFO] [TRAIN] epoch=85, iter=31530/80000, loss=0.2317, lr=0.006370, batch_cost=0.5438, reader_cost=0.0001 | ETA 07:19:16 2020-12-16 20:48:40 [INFO] [TRAIN] epoch=85, iter=31540/80000, loss=0.1942, lr=0.006369, batch_cost=0.5397, reader_cost=0.0001 | ETA 07:15:54 2020-12-16 20:48:46 [INFO] [TRAIN] epoch=85, iter=31550/80000, loss=0.1927, lr=0.006368, batch_cost=0.5425, reader_cost=0.0001 | ETA 07:18:03 2020-12-16 20:48:51 [INFO] [TRAIN] epoch=85, iter=31560/80000, loss=0.1686, lr=0.006367, batch_cost=0.5376, reader_cost=0.0001 | ETA 07:14:00 2020-12-16 20:48:57 [INFO] [TRAIN] epoch=85, iter=31570/80000, loss=0.1632, lr=0.006365, batch_cost=0.5599, reader_cost=0.0001 | ETA 07:31:53 2020-12-16 20:49:02 [INFO] [TRAIN] epoch=85, iter=31580/80000, loss=0.2390, lr=0.006364, batch_cost=0.5421, reader_cost=0.0001 | ETA 07:17:28 2020-12-16 20:49:08 [INFO] [TRAIN] epoch=85, iter=31590/80000, loss=0.1743, lr=0.006363, batch_cost=0.5546, reader_cost=0.0002 | ETA 07:27:29 2020-12-16 20:49:13 [INFO] [TRAIN] epoch=85, iter=31600/80000, loss=0.2014, lr=0.006362, batch_cost=0.5461, reader_cost=0.0004 | ETA 07:20:30 2020-12-16 20:49:19 [INFO] [TRAIN] epoch=85, iter=31610/80000, loss=0.2008, lr=0.006361, batch_cost=0.5393, reader_cost=0.0001 | ETA 07:14:57 2020-12-16 20:49:24 [INFO] [TRAIN] epoch=85, iter=31620/80000, loss=0.1769, lr=0.006360, batch_cost=0.5126, reader_cost=0.0001 | ETA 06:53:20 2020-12-16 20:49:30 [INFO] [TRAIN] epoch=86, iter=31630/80000, loss=0.1518, lr=0.006358, batch_cost=0.6212, reader_cost=0.0586 | ETA 08:20:47 2020-12-16 20:49:36 [INFO] [TRAIN] epoch=86, iter=31640/80000, loss=0.2051, lr=0.006357, batch_cost=0.5540, reader_cost=0.0001 | ETA 07:26:33 2020-12-16 20:49:41 [INFO] [TRAIN] epoch=86, iter=31650/80000, loss=0.2059, lr=0.006356, batch_cost=0.5636, reader_cost=0.0001 | ETA 07:34:11 2020-12-16 20:49:47 [INFO] [TRAIN] epoch=86, iter=31660/80000, loss=0.2412, lr=0.006355, batch_cost=0.5621, reader_cost=0.0001 | ETA 07:32:50 2020-12-16 20:49:52 [INFO] [TRAIN] epoch=86, iter=31670/80000, loss=0.1935, lr=0.006354, batch_cost=0.5491, reader_cost=0.0001 | ETA 07:22:17 2020-12-16 20:49:58 [INFO] [TRAIN] epoch=86, iter=31680/80000, loss=0.1603, lr=0.006352, batch_cost=0.5363, reader_cost=0.0001 | ETA 07:11:55 2020-12-16 20:50:03 [INFO] [TRAIN] epoch=86, iter=31690/80000, loss=0.2104, lr=0.006351, batch_cost=0.5387, reader_cost=0.0023 | ETA 07:13:43 2020-12-16 20:50:09 [INFO] [TRAIN] epoch=86, iter=31700/80000, loss=0.2603, lr=0.006350, batch_cost=0.5642, reader_cost=0.0003 | ETA 07:34:10 2020-12-16 20:50:14 [INFO] [TRAIN] epoch=86, iter=31710/80000, loss=0.2907, lr=0.006349, batch_cost=0.5413, reader_cost=0.0001 | ETA 07:15:37 2020-12-16 20:50:20 [INFO] [TRAIN] epoch=86, iter=31720/80000, loss=0.3040, lr=0.006348, batch_cost=0.5481, reader_cost=0.0001 | ETA 07:21:03 2020-12-16 20:50:25 [INFO] [TRAIN] epoch=86, iter=31730/80000, loss=0.2698, lr=0.006347, batch_cost=0.5463, reader_cost=0.0010 | ETA 07:19:28 2020-12-16 20:50:30 [INFO] [TRAIN] epoch=86, iter=31740/80000, loss=0.3607, lr=0.006345, batch_cost=0.5437, reader_cost=0.0001 | ETA 07:17:17 2020-12-16 20:50:36 [INFO] [TRAIN] epoch=86, iter=31750/80000, loss=0.1706, lr=0.006344, batch_cost=0.5485, reader_cost=0.0002 | ETA 07:21:04 2020-12-16 20:50:41 [INFO] [TRAIN] epoch=86, iter=31760/80000, loss=0.1509, lr=0.006343, batch_cost=0.5409, reader_cost=0.0001 | ETA 07:14:52 2020-12-16 20:50:47 [INFO] [TRAIN] epoch=86, iter=31770/80000, loss=0.2368, lr=0.006342, batch_cost=0.5660, reader_cost=0.0001 | ETA 07:34:59 2020-12-16 20:50:53 [INFO] [TRAIN] epoch=86, iter=31780/80000, loss=0.1994, lr=0.006341, batch_cost=0.5529, reader_cost=0.0001 | ETA 07:24:21 2020-12-16 20:50:58 [INFO] [TRAIN] epoch=86, iter=31790/80000, loss=0.1738, lr=0.006339, batch_cost=0.5548, reader_cost=0.0001 | ETA 07:25:48 2020-12-16 20:51:04 [INFO] [TRAIN] epoch=86, iter=31800/80000, loss=0.2471, lr=0.006338, batch_cost=0.5437, reader_cost=0.0001 | ETA 07:16:48 2020-12-16 20:51:09 [INFO] [TRAIN] epoch=86, iter=31810/80000, loss=0.1650, lr=0.006337, batch_cost=0.5565, reader_cost=0.0001 | ETA 07:26:58 2020-12-16 20:51:15 [INFO] [TRAIN] epoch=86, iter=31820/80000, loss=0.2425, lr=0.006336, batch_cost=0.5502, reader_cost=0.0003 | ETA 07:21:50 2020-12-16 20:51:20 [INFO] [TRAIN] epoch=86, iter=31830/80000, loss=0.1930, lr=0.006335, batch_cost=0.5606, reader_cost=0.0001 | ETA 07:30:03 2020-12-16 20:51:26 [INFO] [TRAIN] epoch=86, iter=31840/80000, loss=0.2518, lr=0.006334, batch_cost=0.5445, reader_cost=0.0001 | ETA 07:17:04 2020-12-16 20:51:31 [INFO] [TRAIN] epoch=86, iter=31850/80000, loss=0.1917, lr=0.006332, batch_cost=0.5523, reader_cost=0.0001 | ETA 07:23:15 2020-12-16 20:51:37 [INFO] [TRAIN] epoch=86, iter=31860/80000, loss=0.1965, lr=0.006331, batch_cost=0.5509, reader_cost=0.0011 | ETA 07:21:58 2020-12-16 20:51:42 [INFO] [TRAIN] epoch=86, iter=31870/80000, loss=0.1800, lr=0.006330, batch_cost=0.5397, reader_cost=0.0001 | ETA 07:12:54 2020-12-16 20:51:48 [INFO] [TRAIN] epoch=86, iter=31880/80000, loss=0.2075, lr=0.006329, batch_cost=0.5470, reader_cost=0.0001 | ETA 07:18:39 2020-12-16 20:51:53 [INFO] [TRAIN] epoch=86, iter=31890/80000, loss=0.1573, lr=0.006328, batch_cost=0.5463, reader_cost=0.0001 | ETA 07:18:02 2020-12-16 20:51:59 [INFO] [TRAIN] epoch=86, iter=31900/80000, loss=0.1634, lr=0.006326, batch_cost=0.5587, reader_cost=0.0001 | ETA 07:27:53 2020-12-16 20:52:04 [INFO] [TRAIN] epoch=86, iter=31910/80000, loss=0.1984, lr=0.006325, batch_cost=0.5476, reader_cost=0.0002 | ETA 07:18:55 2020-12-16 20:52:10 [INFO] [TRAIN] epoch=86, iter=31920/80000, loss=0.2025, lr=0.006324, batch_cost=0.5598, reader_cost=0.0001 | ETA 07:28:36 2020-12-16 20:52:15 [INFO] [TRAIN] epoch=86, iter=31930/80000, loss=0.1976, lr=0.006323, batch_cost=0.5461, reader_cost=0.0001 | ETA 07:17:33 2020-12-16 20:52:21 [INFO] [TRAIN] epoch=86, iter=31940/80000, loss=0.2371, lr=0.006322, batch_cost=0.5615, reader_cost=0.0001 | ETA 07:29:44 2020-12-16 20:52:26 [INFO] [TRAIN] epoch=86, iter=31950/80000, loss=0.2120, lr=0.006320, batch_cost=0.5452, reader_cost=0.0001 | ETA 07:16:37 2020-12-16 20:52:32 [INFO] [TRAIN] epoch=86, iter=31960/80000, loss=0.2487, lr=0.006319, batch_cost=0.5594, reader_cost=0.0001 | ETA 07:27:55 2020-12-16 20:52:37 [INFO] [TRAIN] epoch=86, iter=31970/80000, loss=0.2534, lr=0.006318, batch_cost=0.5443, reader_cost=0.0001 | ETA 07:15:44 2020-12-16 20:52:43 [INFO] [TRAIN] epoch=86, iter=31980/80000, loss=0.2054, lr=0.006317, batch_cost=0.5531, reader_cost=0.0001 | ETA 07:22:37 2020-12-16 20:52:48 [INFO] [TRAIN] epoch=86, iter=31990/80000, loss=0.2021, lr=0.006316, batch_cost=0.5240, reader_cost=0.0001 | ETA 06:59:17 2020-12-16 20:52:54 [INFO] [TRAIN] epoch=87, iter=32000/80000, loss=0.1894, lr=0.006315, batch_cost=0.6250, reader_cost=0.0656 | ETA 08:19:59 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 20:52:54 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 20:53:28 [INFO] [EVAL] #Images=500 mIoU=0.7564 Acc=0.9567 Kappa=0.9437 2020-12-16 20:53:28 [INFO] [EVAL] Class IoU: [0.9802 0.8422 0.9157 0.5145 0.5305 0.5746 0.682 0.7632 0.92 0.6445 0.9438 0.8032 0.6068 0.9389 0.8214 0.78 0.7305 0.6181 0.7626] 2020-12-16 20:53:28 [INFO] [EVAL] Class Acc: [0.991 0.913 0.9457 0.8444 0.7502 0.7845 0.8215 0.9068 0.9495 0.8868 0.9725 0.8872 0.771 0.9605 0.9045 0.9389 0.9269 0.8533 0.8535] 2020-12-16 20:53:34 [INFO] [EVAL] The model with the best validation mIoU (0.7564) was saved at iter 32000. 2020-12-16 20:53:39 [INFO] [TRAIN] epoch=87, iter=32010/80000, loss=0.2072, lr=0.006313, batch_cost=0.5379, reader_cost=0.0001 | ETA 07:10:12 2020-12-16 20:53:45 [INFO] [TRAIN] epoch=87, iter=32020/80000, loss=0.2132, lr=0.006312, batch_cost=0.5594, reader_cost=0.0001 | ETA 07:27:21 2020-12-16 20:53:50 [INFO] [TRAIN] epoch=87, iter=32030/80000, loss=0.1581, lr=0.006311, batch_cost=0.5514, reader_cost=0.0001 | ETA 07:20:52 2020-12-16 20:53:56 [INFO] [TRAIN] epoch=87, iter=32040/80000, loss=0.2104, lr=0.006310, batch_cost=0.5490, reader_cost=0.0003 | ETA 07:18:48 2020-12-16 20:54:01 [INFO] [TRAIN] epoch=87, iter=32050/80000, loss=0.1765, lr=0.006309, batch_cost=0.5542, reader_cost=0.0001 | ETA 07:22:54 2020-12-16 20:54:07 [INFO] [TRAIN] epoch=87, iter=32060/80000, loss=0.1891, lr=0.006307, batch_cost=0.5503, reader_cost=0.0001 | ETA 07:19:39 2020-12-16 20:54:12 [INFO] [TRAIN] epoch=87, iter=32070/80000, loss=0.1899, lr=0.006306, batch_cost=0.5471, reader_cost=0.0002 | ETA 07:17:03 2020-12-16 20:54:18 [INFO] [TRAIN] epoch=87, iter=32080/80000, loss=0.1843, lr=0.006305, batch_cost=0.5499, reader_cost=0.0001 | ETA 07:19:13 2020-12-16 20:54:24 [INFO] [TRAIN] epoch=87, iter=32090/80000, loss=0.1676, lr=0.006304, batch_cost=0.5563, reader_cost=0.0002 | ETA 07:24:13 2020-12-16 20:54:29 [INFO] [TRAIN] epoch=87, iter=32100/80000, loss=0.1341, lr=0.006303, batch_cost=0.5492, reader_cost=0.0001 | ETA 07:18:28 2020-12-16 20:54:35 [INFO] [TRAIN] epoch=87, iter=32110/80000, loss=0.1861, lr=0.006302, batch_cost=0.5707, reader_cost=0.0001 | ETA 07:35:32 2020-12-16 20:54:40 [INFO] [TRAIN] epoch=87, iter=32120/80000, loss=0.1629, lr=0.006300, batch_cost=0.5424, reader_cost=0.0001 | ETA 07:12:48 2020-12-16 20:54:45 [INFO] [TRAIN] epoch=87, iter=32130/80000, loss=0.1933, lr=0.006299, batch_cost=0.5347, reader_cost=0.0001 | ETA 07:06:35 2020-12-16 20:54:51 [INFO] [TRAIN] epoch=87, iter=32140/80000, loss=0.1911, lr=0.006298, batch_cost=0.5550, reader_cost=0.0001 | ETA 07:22:43 2020-12-16 20:54:57 [INFO] [TRAIN] epoch=87, iter=32150/80000, loss=0.1572, lr=0.006297, batch_cost=0.5477, reader_cost=0.0001 | ETA 07:16:47 2020-12-16 20:55:02 [INFO] [TRAIN] epoch=87, iter=32160/80000, loss=0.2476, lr=0.006296, batch_cost=0.5707, reader_cost=0.0001 | ETA 07:35:04 2020-12-16 20:55:08 [INFO] [TRAIN] epoch=87, iter=32170/80000, loss=0.1844, lr=0.006294, batch_cost=0.5448, reader_cost=0.0001 | ETA 07:14:18 2020-12-16 20:55:13 [INFO] [TRAIN] epoch=87, iter=32180/80000, loss=0.2567, lr=0.006293, batch_cost=0.5424, reader_cost=0.0001 | ETA 07:12:17 2020-12-16 20:55:19 [INFO] [TRAIN] epoch=87, iter=32190/80000, loss=0.2319, lr=0.006292, batch_cost=0.5637, reader_cost=0.0001 | ETA 07:29:11 2020-12-16 20:55:24 [INFO] [TRAIN] epoch=87, iter=32200/80000, loss=0.2315, lr=0.006291, batch_cost=0.5484, reader_cost=0.0001 | ETA 07:16:51 2020-12-16 20:55:30 [INFO] [TRAIN] epoch=87, iter=32210/80000, loss=0.2326, lr=0.006290, batch_cost=0.5515, reader_cost=0.0001 | ETA 07:19:18 2020-12-16 20:55:35 [INFO] [TRAIN] epoch=87, iter=32220/80000, loss=0.2739, lr=0.006289, batch_cost=0.5520, reader_cost=0.0001 | ETA 07:19:35 2020-12-16 20:55:41 [INFO] [TRAIN] epoch=87, iter=32230/80000, loss=0.1892, lr=0.006287, batch_cost=0.5340, reader_cost=0.0001 | ETA 07:05:07 2020-12-16 20:55:46 [INFO] [TRAIN] epoch=87, iter=32240/80000, loss=0.1451, lr=0.006286, batch_cost=0.5546, reader_cost=0.0003 | ETA 07:21:27 2020-12-16 20:55:52 [INFO] [TRAIN] epoch=87, iter=32250/80000, loss=0.1830, lr=0.006285, batch_cost=0.5393, reader_cost=0.0003 | ETA 07:09:11 2020-12-16 20:55:57 [INFO] [TRAIN] epoch=87, iter=32260/80000, loss=0.1890, lr=0.006284, batch_cost=0.5430, reader_cost=0.0001 | ETA 07:12:00 2020-12-16 20:56:03 [INFO] [TRAIN] epoch=87, iter=32270/80000, loss=0.1920, lr=0.006283, batch_cost=0.5584, reader_cost=0.0001 | ETA 07:24:10 2020-12-16 20:56:08 [INFO] [TRAIN] epoch=87, iter=32280/80000, loss=0.1952, lr=0.006281, batch_cost=0.5474, reader_cost=0.0001 | ETA 07:15:22 2020-12-16 20:56:13 [INFO] [TRAIN] epoch=87, iter=32290/80000, loss=0.1789, lr=0.006280, batch_cost=0.5457, reader_cost=0.0001 | ETA 07:13:56 2020-12-16 20:56:19 [INFO] [TRAIN] epoch=87, iter=32300/80000, loss=0.1962, lr=0.006279, batch_cost=0.5453, reader_cost=0.0001 | ETA 07:13:32 2020-12-16 20:56:24 [INFO] [TRAIN] epoch=87, iter=32310/80000, loss=0.2003, lr=0.006278, batch_cost=0.5407, reader_cost=0.0001 | ETA 07:09:43 2020-12-16 20:56:30 [INFO] [TRAIN] epoch=87, iter=32320/80000, loss=0.1931, lr=0.006277, batch_cost=0.5523, reader_cost=0.0001 | ETA 07:18:54 2020-12-16 20:56:35 [INFO] [TRAIN] epoch=87, iter=32330/80000, loss=0.2034, lr=0.006275, batch_cost=0.5559, reader_cost=0.0001 | ETA 07:21:38 2020-12-16 20:56:41 [INFO] [TRAIN] epoch=87, iter=32340/80000, loss=0.2039, lr=0.006274, batch_cost=0.5451, reader_cost=0.0001 | ETA 07:13:00 2020-12-16 20:56:46 [INFO] [TRAIN] epoch=87, iter=32350/80000, loss=0.2523, lr=0.006273, batch_cost=0.5490, reader_cost=0.0002 | ETA 07:15:57 2020-12-16 20:56:52 [INFO] [TRAIN] epoch=87, iter=32360/80000, loss=0.3466, lr=0.006272, batch_cost=0.5526, reader_cost=0.0001 | ETA 07:18:46 2020-12-16 20:56:58 [INFO] [TRAIN] epoch=88, iter=32370/80000, loss=0.2067, lr=0.006271, batch_cost=0.5871, reader_cost=0.0630 | ETA 07:46:04 2020-12-16 20:57:03 [INFO] [TRAIN] epoch=88, iter=32380/80000, loss=0.2128, lr=0.006270, batch_cost=0.5664, reader_cost=0.0001 | ETA 07:29:29 2020-12-16 20:57:09 [INFO] [TRAIN] epoch=88, iter=32390/80000, loss=0.2543, lr=0.006268, batch_cost=0.5692, reader_cost=0.0001 | ETA 07:31:38 2020-12-16 20:57:15 [INFO] [TRAIN] epoch=88, iter=32400/80000, loss=0.2545, lr=0.006267, batch_cost=0.5800, reader_cost=0.0001 | ETA 07:40:09 2020-12-16 20:57:20 [INFO] [TRAIN] epoch=88, iter=32410/80000, loss=0.1724, lr=0.006266, batch_cost=0.5423, reader_cost=0.0001 | ETA 07:10:09 2020-12-16 20:57:26 [INFO] [TRAIN] epoch=88, iter=32420/80000, loss=0.1638, lr=0.006265, batch_cost=0.5615, reader_cost=0.0001 | ETA 07:25:17 2020-12-16 20:57:31 [INFO] [TRAIN] epoch=88, iter=32430/80000, loss=0.1789, lr=0.006264, batch_cost=0.5386, reader_cost=0.0001 | ETA 07:07:02 2020-12-16 20:57:37 [INFO] [TRAIN] epoch=88, iter=32440/80000, loss=0.2431, lr=0.006262, batch_cost=0.5419, reader_cost=0.0003 | ETA 07:09:34 2020-12-16 20:57:42 [INFO] [TRAIN] epoch=88, iter=32450/80000, loss=0.2125, lr=0.006261, batch_cost=0.5478, reader_cost=0.0001 | ETA 07:14:09 2020-12-16 20:57:48 [INFO] [TRAIN] epoch=88, iter=32460/80000, loss=0.2713, lr=0.006260, batch_cost=0.5518, reader_cost=0.0001 | ETA 07:17:14 2020-12-16 20:57:53 [INFO] [TRAIN] epoch=88, iter=32470/80000, loss=0.1873, lr=0.006259, batch_cost=0.5539, reader_cost=0.0001 | ETA 07:18:47 2020-12-16 20:57:59 [INFO] [TRAIN] epoch=88, iter=32480/80000, loss=0.1512, lr=0.006258, batch_cost=0.5427, reader_cost=0.0001 | ETA 07:09:48 2020-12-16 20:58:04 [INFO] [TRAIN] epoch=88, iter=32490/80000, loss=0.2435, lr=0.006257, batch_cost=0.5591, reader_cost=0.0001 | ETA 07:22:42 2020-12-16 20:58:10 [INFO] [TRAIN] epoch=88, iter=32500/80000, loss=0.1604, lr=0.006255, batch_cost=0.5395, reader_cost=0.0001 | ETA 07:07:07 2020-12-16 20:58:15 [INFO] [TRAIN] epoch=88, iter=32510/80000, loss=0.1816, lr=0.006254, batch_cost=0.5648, reader_cost=0.0001 | ETA 07:27:03 2020-12-16 20:58:21 [INFO] [TRAIN] epoch=88, iter=32520/80000, loss=0.1934, lr=0.006253, batch_cost=0.5526, reader_cost=0.0001 | ETA 07:17:19 2020-12-16 20:58:26 [INFO] [TRAIN] epoch=88, iter=32530/80000, loss=0.1749, lr=0.006252, batch_cost=0.5591, reader_cost=0.0001 | ETA 07:22:22 2020-12-16 20:58:32 [INFO] [TRAIN] epoch=88, iter=32540/80000, loss=0.1766, lr=0.006251, batch_cost=0.5454, reader_cost=0.0001 | ETA 07:11:22 2020-12-16 20:58:37 [INFO] [TRAIN] epoch=88, iter=32550/80000, loss=0.1985, lr=0.006249, batch_cost=0.5314, reader_cost=0.0001 | ETA 07:00:17 2020-12-16 20:58:43 [INFO] [TRAIN] epoch=88, iter=32560/80000, loss=0.1481, lr=0.006248, batch_cost=0.5490, reader_cost=0.0001 | ETA 07:14:02 2020-12-16 20:58:48 [INFO] [TRAIN] epoch=88, iter=32570/80000, loss=0.1871, lr=0.006247, batch_cost=0.5516, reader_cost=0.0001 | ETA 07:16:02 2020-12-16 20:58:54 [INFO] [TRAIN] epoch=88, iter=32580/80000, loss=0.1795, lr=0.006246, batch_cost=0.5436, reader_cost=0.0001 | ETA 07:09:35 2020-12-16 20:58:59 [INFO] [TRAIN] epoch=88, iter=32590/80000, loss=0.2101, lr=0.006245, batch_cost=0.5474, reader_cost=0.0002 | ETA 07:12:34 2020-12-16 20:59:05 [INFO] [TRAIN] epoch=88, iter=32600/80000, loss=0.1551, lr=0.006243, batch_cost=0.5349, reader_cost=0.0002 | ETA 07:02:34 2020-12-16 20:59:10 [INFO] [TRAIN] epoch=88, iter=32610/80000, loss=0.1677, lr=0.006242, batch_cost=0.5486, reader_cost=0.0001 | ETA 07:13:16 2020-12-16 20:59:16 [INFO] [TRAIN] epoch=88, iter=32620/80000, loss=0.2183, lr=0.006241, batch_cost=0.5549, reader_cost=0.0001 | ETA 07:18:11 2020-12-16 20:59:21 [INFO] [TRAIN] epoch=88, iter=32630/80000, loss=0.1753, lr=0.006240, batch_cost=0.5524, reader_cost=0.0003 | ETA 07:16:07 2020-12-16 20:59:27 [INFO] [TRAIN] epoch=88, iter=32640/80000, loss=0.1656, lr=0.006239, batch_cost=0.5492, reader_cost=0.0002 | ETA 07:13:30 2020-12-16 20:59:32 [INFO] [TRAIN] epoch=88, iter=32650/80000, loss=0.1860, lr=0.006238, batch_cost=0.5560, reader_cost=0.0001 | ETA 07:18:45 2020-12-16 20:59:38 [INFO] [TRAIN] epoch=88, iter=32660/80000, loss=0.1709, lr=0.006236, batch_cost=0.5493, reader_cost=0.0001 | ETA 07:13:25 2020-12-16 20:59:43 [INFO] [TRAIN] epoch=88, iter=32670/80000, loss=0.1898, lr=0.006235, batch_cost=0.5508, reader_cost=0.0001 | ETA 07:14:31 2020-12-16 20:59:49 [INFO] [TRAIN] epoch=88, iter=32680/80000, loss=0.2722, lr=0.006234, batch_cost=0.5491, reader_cost=0.0008 | ETA 07:13:03 2020-12-16 20:59:54 [INFO] [TRAIN] epoch=88, iter=32690/80000, loss=0.2154, lr=0.006233, batch_cost=0.5568, reader_cost=0.0010 | ETA 07:19:00 2020-12-16 21:00:00 [INFO] [TRAIN] epoch=88, iter=32700/80000, loss=0.1816, lr=0.006232, batch_cost=0.5698, reader_cost=0.0001 | ETA 07:29:13 2020-12-16 21:00:05 [INFO] [TRAIN] epoch=88, iter=32710/80000, loss=0.2549, lr=0.006230, batch_cost=0.5447, reader_cost=0.0001 | ETA 07:09:20 2020-12-16 21:00:11 [INFO] [TRAIN] epoch=88, iter=32720/80000, loss=0.1538, lr=0.006229, batch_cost=0.5429, reader_cost=0.0002 | ETA 07:07:47 2020-12-16 21:00:16 [INFO] [TRAIN] epoch=88, iter=32730/80000, loss=0.1588, lr=0.006228, batch_cost=0.5342, reader_cost=0.0001 | ETA 07:00:51 2020-12-16 21:00:22 [INFO] [TRAIN] epoch=89, iter=32740/80000, loss=0.1658, lr=0.006227, batch_cost=0.6122, reader_cost=0.0624 | ETA 08:02:10 2020-12-16 21:00:28 [INFO] [TRAIN] epoch=89, iter=32750/80000, loss=0.1979, lr=0.006226, batch_cost=0.5948, reader_cost=0.0001 | ETA 07:48:25 2020-12-16 21:00:34 [INFO] [TRAIN] epoch=89, iter=32760/80000, loss=0.2119, lr=0.006225, batch_cost=0.5668, reader_cost=0.0001 | ETA 07:26:13 2020-12-16 21:00:39 [INFO] [TRAIN] epoch=89, iter=32770/80000, loss=0.1754, lr=0.006223, batch_cost=0.5490, reader_cost=0.0002 | ETA 07:12:10 2020-12-16 21:00:45 [INFO] [TRAIN] epoch=89, iter=32780/80000, loss=0.1438, lr=0.006222, batch_cost=0.5539, reader_cost=0.0001 | ETA 07:15:55 2020-12-16 21:00:50 [INFO] [TRAIN] epoch=89, iter=32790/80000, loss=0.3229, lr=0.006221, batch_cost=0.5474, reader_cost=0.0001 | ETA 07:10:42 2020-12-16 21:00:56 [INFO] [TRAIN] epoch=89, iter=32800/80000, loss=0.1846, lr=0.006220, batch_cost=0.5577, reader_cost=0.0003 | ETA 07:18:43 2020-12-16 21:01:02 [INFO] [TRAIN] epoch=89, iter=32810/80000, loss=0.1961, lr=0.006219, batch_cost=0.5603, reader_cost=0.0001 | ETA 07:20:40 2020-12-16 21:01:07 [INFO] [TRAIN] epoch=89, iter=32820/80000, loss=0.1764, lr=0.006217, batch_cost=0.5411, reader_cost=0.0001 | ETA 07:05:29 2020-12-16 21:01:12 [INFO] [TRAIN] epoch=89, iter=32830/80000, loss=0.2459, lr=0.006216, batch_cost=0.5430, reader_cost=0.0001 | ETA 07:06:55 2020-12-16 21:01:18 [INFO] [TRAIN] epoch=89, iter=32840/80000, loss=0.1497, lr=0.006215, batch_cost=0.5462, reader_cost=0.0002 | ETA 07:09:20 2020-12-16 21:01:23 [INFO] [TRAIN] epoch=89, iter=32850/80000, loss=0.1954, lr=0.006214, batch_cost=0.5618, reader_cost=0.0001 | ETA 07:21:26 2020-12-16 21:01:29 [INFO] [TRAIN] epoch=89, iter=32860/80000, loss=0.2519, lr=0.006213, batch_cost=0.5394, reader_cost=0.0001 | ETA 07:03:49 2020-12-16 21:01:34 [INFO] [TRAIN] epoch=89, iter=32870/80000, loss=0.1566, lr=0.006211, batch_cost=0.5568, reader_cost=0.0001 | ETA 07:17:20 2020-12-16 21:01:40 [INFO] [TRAIN] epoch=89, iter=32880/80000, loss=0.1805, lr=0.006210, batch_cost=0.5394, reader_cost=0.0002 | ETA 07:03:34 2020-12-16 21:01:45 [INFO] [TRAIN] epoch=89, iter=32890/80000, loss=0.2433, lr=0.006209, batch_cost=0.5597, reader_cost=0.0001 | ETA 07:19:28 2020-12-16 21:01:51 [INFO] [TRAIN] epoch=89, iter=32900/80000, loss=0.1493, lr=0.006208, batch_cost=0.5533, reader_cost=0.0001 | ETA 07:14:19 2020-12-16 21:01:56 [INFO] [TRAIN] epoch=89, iter=32910/80000, loss=0.1829, lr=0.006207, batch_cost=0.5501, reader_cost=0.0001 | ETA 07:11:42 2020-12-16 21:02:02 [INFO] [TRAIN] epoch=89, iter=32920/80000, loss=0.1801, lr=0.006206, batch_cost=0.5652, reader_cost=0.0001 | ETA 07:23:28 2020-12-16 21:02:08 [INFO] [TRAIN] epoch=89, iter=32930/80000, loss=0.1668, lr=0.006204, batch_cost=0.5405, reader_cost=0.0001 | ETA 07:04:01 2020-12-16 21:02:13 [INFO] [TRAIN] epoch=89, iter=32940/80000, loss=0.1840, lr=0.006203, batch_cost=0.5569, reader_cost=0.0001 | ETA 07:16:47 2020-12-16 21:02:19 [INFO] [TRAIN] epoch=89, iter=32950/80000, loss=0.2104, lr=0.006202, batch_cost=0.5537, reader_cost=0.0001 | ETA 07:14:09 2020-12-16 21:02:24 [INFO] [TRAIN] epoch=89, iter=32960/80000, loss=0.1695, lr=0.006201, batch_cost=0.5680, reader_cost=0.0001 | ETA 07:25:17 2020-12-16 21:02:30 [INFO] [TRAIN] epoch=89, iter=32970/80000, loss=0.2080, lr=0.006200, batch_cost=0.5643, reader_cost=0.0001 | ETA 07:22:20 2020-12-16 21:02:38 [INFO] [TRAIN] epoch=89, iter=32980/80000, loss=0.2241, lr=0.006198, batch_cost=0.7601, reader_cost=0.0037 | ETA 09:55:40 2020-12-16 21:02:44 [INFO] [TRAIN] epoch=89, iter=32990/80000, loss=0.1740, lr=0.006197, batch_cost=0.6442, reader_cost=0.0003 | ETA 08:24:45 2020-12-16 21:02:52 [INFO] [TRAIN] epoch=89, iter=33000/80000, loss=0.2118, lr=0.006196, batch_cost=0.8334, reader_cost=0.0014 | ETA 10:52:48 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:02:52 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 21:03:34 [INFO] [EVAL] #Images=500 mIoU=0.7556 Acc=0.9566 Kappa=0.9436 2020-12-16 21:03:34 [INFO] [EVAL] Class IoU: [0.9776 0.8274 0.9206 0.5445 0.5897 0.5765 0.6877 0.7698 0.9193 0.6528 0.9422 0.8007 0.5911 0.945 0.839 0.8005 0.6113 0.5996 0.7613] 2020-12-16 21:03:34 [INFO] [EVAL] Class Acc: [0.9882 0.9142 0.9501 0.8354 0.7299 0.7713 0.8177 0.8878 0.9579 0.7923 0.9659 0.8636 0.8016 0.9706 0.9547 0.8938 0.944 0.8067 0.8668] 2020-12-16 21:03:40 [INFO] [EVAL] The model with the best validation mIoU (0.7564) was saved at iter 32000. 2020-12-16 21:03:48 [INFO] [TRAIN] epoch=89, iter=33010/80000, loss=0.1692, lr=0.006195, batch_cost=0.8297, reader_cost=0.0063 | ETA 10:49:45 2020-12-16 21:03:57 [INFO] [TRAIN] epoch=89, iter=33020/80000, loss=0.1780, lr=0.006194, batch_cost=0.8839, reader_cost=0.0017 | ETA 11:32:04 2020-12-16 21:04:06 [INFO] [TRAIN] epoch=89, iter=33030/80000, loss=0.2079, lr=0.006192, batch_cost=0.8864, reader_cost=0.0070 | ETA 11:33:56 2020-12-16 21:04:14 [INFO] [TRAIN] epoch=89, iter=33040/80000, loss=0.1853, lr=0.006191, batch_cost=0.8488, reader_cost=0.0013 | ETA 11:04:18 2020-12-16 21:04:22 [INFO] [TRAIN] epoch=89, iter=33050/80000, loss=0.1992, lr=0.006190, batch_cost=0.7726, reader_cost=0.0021 | ETA 10:04:35 2020-12-16 21:04:30 [INFO] [TRAIN] epoch=89, iter=33060/80000, loss=0.2672, lr=0.006189, batch_cost=0.8248, reader_cost=0.0018 | ETA 10:45:15 2020-12-16 21:04:38 [INFO] [TRAIN] epoch=89, iter=33070/80000, loss=0.2251, lr=0.006188, batch_cost=0.8242, reader_cost=0.0039 | ETA 10:44:40 2020-12-16 21:04:46 [INFO] [TRAIN] epoch=89, iter=33080/80000, loss=0.1830, lr=0.006187, batch_cost=0.8014, reader_cost=0.0059 | ETA 10:26:41 2020-12-16 21:04:54 [INFO] [TRAIN] epoch=89, iter=33090/80000, loss=0.2022, lr=0.006185, batch_cost=0.7609, reader_cost=0.0016 | ETA 09:54:51 2020-12-16 21:05:03 [INFO] [TRAIN] epoch=89, iter=33100/80000, loss=0.2570, lr=0.006184, batch_cost=0.8762, reader_cost=0.0014 | ETA 11:24:54 2020-12-16 21:05:11 [INFO] [TRAIN] epoch=90, iter=33110/80000, loss=0.1799, lr=0.006183, batch_cost=0.7931, reader_cost=0.0598 | ETA 10:19:48 2020-12-16 21:05:20 [INFO] [TRAIN] epoch=90, iter=33120/80000, loss=0.2807, lr=0.006182, batch_cost=0.9404, reader_cost=0.0009 | ETA 12:14:43 2020-12-16 21:05:28 [INFO] [TRAIN] epoch=90, iter=33130/80000, loss=0.1580, lr=0.006181, batch_cost=0.8346, reader_cost=0.0022 | ETA 10:51:57 2020-12-16 21:05:38 [INFO] [TRAIN] epoch=90, iter=33140/80000, loss=0.1876, lr=0.006179, batch_cost=0.9437, reader_cost=0.0024 | ETA 12:17:02 2020-12-16 21:05:46 [INFO] [TRAIN] epoch=90, iter=33150/80000, loss=0.2678, lr=0.006178, batch_cost=0.7866, reader_cost=0.0001 | ETA 10:14:11 2020-12-16 21:05:54 [INFO] [TRAIN] epoch=90, iter=33160/80000, loss=0.2026, lr=0.006177, batch_cost=0.8209, reader_cost=0.0002 | ETA 10:40:52 2020-12-16 21:06:01 [INFO] [TRAIN] epoch=90, iter=33170/80000, loss=0.1784, lr=0.006176, batch_cost=0.7607, reader_cost=0.0021 | ETA 09:53:43 2020-12-16 21:06:09 [INFO] [TRAIN] epoch=90, iter=33180/80000, loss=0.1539, lr=0.006175, batch_cost=0.7512, reader_cost=0.0014 | ETA 09:46:09 2020-12-16 21:06:17 [INFO] [TRAIN] epoch=90, iter=33190/80000, loss=0.2323, lr=0.006174, batch_cost=0.8175, reader_cost=0.0012 | ETA 10:37:46 2020-12-16 21:06:25 [INFO] [TRAIN] epoch=90, iter=33200/80000, loss=0.1573, lr=0.006172, batch_cost=0.7910, reader_cost=0.0006 | ETA 10:16:59 2020-12-16 21:06:34 [INFO] [TRAIN] epoch=90, iter=33210/80000, loss=0.1558, lr=0.006171, batch_cost=0.8555, reader_cost=0.0007 | ETA 11:07:06 2020-12-16 21:06:43 [INFO] [TRAIN] epoch=90, iter=33220/80000, loss=0.2384, lr=0.006170, batch_cost=0.8970, reader_cost=0.0029 | ETA 11:39:21 2020-12-16 21:06:51 [INFO] [TRAIN] epoch=90, iter=33230/80000, loss=0.3297, lr=0.006169, batch_cost=0.8728, reader_cost=0.0003 | ETA 11:20:23 2020-12-16 21:06:59 [INFO] [TRAIN] epoch=90, iter=33240/80000, loss=0.1510, lr=0.006168, batch_cost=0.8065, reader_cost=0.0003 | ETA 10:28:34 2020-12-16 21:07:06 [INFO] [TRAIN] epoch=90, iter=33250/80000, loss=0.1888, lr=0.006166, batch_cost=0.6348, reader_cost=0.0018 | ETA 08:14:35 2020-12-16 21:07:12 [INFO] [TRAIN] epoch=90, iter=33260/80000, loss=0.1747, lr=0.006165, batch_cost=0.5787, reader_cost=0.0001 | ETA 07:30:47 2020-12-16 21:07:19 [INFO] [TRAIN] epoch=90, iter=33270/80000, loss=0.1459, lr=0.006164, batch_cost=0.7861, reader_cost=0.0001 | ETA 10:12:12 2020-12-16 21:07:28 [INFO] [TRAIN] epoch=90, iter=33280/80000, loss=0.2298, lr=0.006163, batch_cost=0.8680, reader_cost=0.0026 | ETA 11:15:51 2020-12-16 21:07:37 [INFO] [TRAIN] epoch=90, iter=33290/80000, loss=0.1919, lr=0.006162, batch_cost=0.8543, reader_cost=0.0114 | ETA 11:05:05 2020-12-16 21:07:45 [INFO] [TRAIN] epoch=90, iter=33300/80000, loss=0.2487, lr=0.006160, batch_cost=0.8651, reader_cost=0.0005 | ETA 11:13:21 2020-12-16 21:07:53 [INFO] [TRAIN] epoch=90, iter=33310/80000, loss=0.2794, lr=0.006159, batch_cost=0.8102, reader_cost=0.0011 | ETA 10:30:27 2020-12-16 21:08:02 [INFO] [TRAIN] epoch=90, iter=33320/80000, loss=0.1705, lr=0.006158, batch_cost=0.8115, reader_cost=0.0008 | ETA 10:31:22 2020-12-16 21:08:09 [INFO] [TRAIN] epoch=90, iter=33330/80000, loss=0.1573, lr=0.006157, batch_cost=0.7449, reader_cost=0.0003 | ETA 09:39:22 2020-12-16 21:08:16 [INFO] [TRAIN] epoch=90, iter=33340/80000, loss=0.1886, lr=0.006156, batch_cost=0.7484, reader_cost=0.0017 | ETA 09:42:01 2020-12-16 21:08:24 [INFO] [TRAIN] epoch=90, iter=33350/80000, loss=0.2228, lr=0.006155, batch_cost=0.7817, reader_cost=0.0012 | ETA 10:07:45 2020-12-16 21:08:32 [INFO] [TRAIN] epoch=90, iter=33360/80000, loss=0.2094, lr=0.006153, batch_cost=0.7931, reader_cost=0.0002 | ETA 10:16:31 2020-12-16 21:08:41 [INFO] [TRAIN] epoch=90, iter=33370/80000, loss=0.1641, lr=0.006152, batch_cost=0.8405, reader_cost=0.0006 | ETA 10:53:11 2020-12-16 21:08:49 [INFO] [TRAIN] epoch=90, iter=33380/80000, loss=0.1617, lr=0.006151, batch_cost=0.8019, reader_cost=0.0029 | ETA 10:23:05 2020-12-16 21:08:57 [INFO] [TRAIN] epoch=90, iter=33390/80000, loss=0.2307, lr=0.006150, batch_cost=0.8129, reader_cost=0.0006 | ETA 10:31:28 2020-12-16 21:09:05 [INFO] [TRAIN] epoch=90, iter=33400/80000, loss=0.1909, lr=0.006149, batch_cost=0.8046, reader_cost=0.0002 | ETA 10:24:54 2020-12-16 21:09:13 [INFO] [TRAIN] epoch=90, iter=33410/80000, loss=0.2141, lr=0.006147, batch_cost=0.8399, reader_cost=0.0001 | ETA 10:52:11 2020-12-16 21:09:21 [INFO] [TRAIN] epoch=90, iter=33420/80000, loss=0.1741, lr=0.006146, batch_cost=0.8201, reader_cost=0.0006 | ETA 10:36:40 2020-12-16 21:09:30 [INFO] [TRAIN] epoch=90, iter=33430/80000, loss=0.1845, lr=0.006145, batch_cost=0.8440, reader_cost=0.0022 | ETA 10:55:05 2020-12-16 21:09:38 [INFO] [TRAIN] epoch=90, iter=33440/80000, loss=0.2241, lr=0.006144, batch_cost=0.7990, reader_cost=0.0014 | ETA 10:20:02 2020-12-16 21:09:46 [INFO] [TRAIN] epoch=90, iter=33450/80000, loss=0.1638, lr=0.006143, batch_cost=0.7938, reader_cost=0.0001 | ETA 10:15:49 2020-12-16 21:09:54 [INFO] [TRAIN] epoch=90, iter=33460/80000, loss=0.2740, lr=0.006141, batch_cost=0.8373, reader_cost=0.0009 | ETA 10:49:25 2020-12-16 21:10:03 [INFO] [TRAIN] epoch=90, iter=33470/80000, loss=0.2136, lr=0.006140, batch_cost=0.8319, reader_cost=0.0027 | ETA 10:45:10 2020-12-16 21:10:10 [INFO] [TRAIN] epoch=90, iter=33480/80000, loss=0.2054, lr=0.006139, batch_cost=0.7138, reader_cost=0.0070 | ETA 09:13:26 2020-12-16 21:10:19 [INFO] [TRAIN] epoch=91, iter=33490/80000, loss=0.1431, lr=0.006138, batch_cost=0.9087, reader_cost=0.0735 | ETA 11:44:22 2020-12-16 21:10:26 [INFO] [TRAIN] epoch=91, iter=33500/80000, loss=0.1513, lr=0.006137, batch_cost=0.7401, reader_cost=0.0010 | ETA 09:33:32 2020-12-16 21:10:33 [INFO] [TRAIN] epoch=91, iter=33510/80000, loss=0.2051, lr=0.006136, batch_cost=0.7265, reader_cost=0.0011 | ETA 09:22:52 2020-12-16 21:10:41 [INFO] [TRAIN] epoch=91, iter=33520/80000, loss=0.1588, lr=0.006134, batch_cost=0.7861, reader_cost=0.0043 | ETA 10:08:57 2020-12-16 21:10:49 [INFO] [TRAIN] epoch=91, iter=33530/80000, loss=0.2050, lr=0.006133, batch_cost=0.7244, reader_cost=0.0008 | ETA 09:21:00 2020-12-16 21:10:56 [INFO] [TRAIN] epoch=91, iter=33540/80000, loss=0.1844, lr=0.006132, batch_cost=0.7654, reader_cost=0.0001 | ETA 09:52:41 2020-12-16 21:11:04 [INFO] [TRAIN] epoch=91, iter=33550/80000, loss=0.1891, lr=0.006131, batch_cost=0.8302, reader_cost=0.0028 | ETA 10:42:43 2020-12-16 21:11:12 [INFO] [TRAIN] epoch=91, iter=33560/80000, loss=0.1497, lr=0.006130, batch_cost=0.7258, reader_cost=0.0036 | ETA 09:21:46 2020-12-16 21:11:20 [INFO] [TRAIN] epoch=91, iter=33570/80000, loss=0.1785, lr=0.006128, batch_cost=0.8101, reader_cost=0.0011 | ETA 10:26:52 2020-12-16 21:11:27 [INFO] [TRAIN] epoch=91, iter=33580/80000, loss=0.2782, lr=0.006127, batch_cost=0.7234, reader_cost=0.0001 | ETA 09:19:41 2020-12-16 21:11:35 [INFO] [TRAIN] epoch=91, iter=33590/80000, loss=0.1617, lr=0.006126, batch_cost=0.7809, reader_cost=0.0001 | ETA 10:04:00 2020-12-16 21:11:41 [INFO] [TRAIN] epoch=91, iter=33600/80000, loss=0.2330, lr=0.006125, batch_cost=0.6464, reader_cost=0.0001 | ETA 08:19:53 2020-12-16 21:11:47 [INFO] [TRAIN] epoch=91, iter=33610/80000, loss=0.2199, lr=0.006124, batch_cost=0.5558, reader_cost=0.0001 | ETA 07:09:43 2020-12-16 21:11:54 [INFO] [TRAIN] epoch=91, iter=33620/80000, loss=0.1889, lr=0.006122, batch_cost=0.7211, reader_cost=0.0001 | ETA 09:17:23 2020-12-16 21:12:03 [INFO] [TRAIN] epoch=91, iter=33630/80000, loss=0.2058, lr=0.006121, batch_cost=0.9101, reader_cost=0.0027 | ETA 11:43:22 2020-12-16 21:12:12 [INFO] [TRAIN] epoch=91, iter=33640/80000, loss=0.2561, lr=0.006120, batch_cost=0.8590, reader_cost=0.0058 | ETA 11:03:43 2020-12-16 21:12:20 [INFO] [TRAIN] epoch=91, iter=33650/80000, loss=0.1558, lr=0.006119, batch_cost=0.8106, reader_cost=0.0002 | ETA 10:26:09 2020-12-16 21:12:29 [INFO] [TRAIN] epoch=91, iter=33660/80000, loss=0.1941, lr=0.006118, batch_cost=0.8793, reader_cost=0.0008 | ETA 11:19:06 2020-12-16 21:12:37 [INFO] [TRAIN] epoch=91, iter=33670/80000, loss=0.1609, lr=0.006117, batch_cost=0.8048, reader_cost=0.0029 | ETA 10:21:25 2020-12-16 21:12:45 [INFO] [TRAIN] epoch=91, iter=33680/80000, loss=0.1651, lr=0.006115, batch_cost=0.8296, reader_cost=0.0025 | ETA 10:40:25 2020-12-16 21:12:52 [INFO] [TRAIN] epoch=91, iter=33690/80000, loss=0.1541, lr=0.006114, batch_cost=0.7386, reader_cost=0.0001 | ETA 09:30:05 2020-12-16 21:13:01 [INFO] [TRAIN] epoch=91, iter=33700/80000, loss=0.2086, lr=0.006113, batch_cost=0.8161, reader_cost=0.0010 | ETA 10:29:47 2020-12-16 21:13:08 [INFO] [TRAIN] epoch=91, iter=33710/80000, loss=0.1720, lr=0.006112, batch_cost=0.7617, reader_cost=0.0007 | ETA 09:47:37 2020-12-16 21:13:15 [INFO] [TRAIN] epoch=91, iter=33720/80000, loss=0.1505, lr=0.006111, batch_cost=0.7220, reader_cost=0.0015 | ETA 09:16:52 2020-12-16 21:13:24 [INFO] [TRAIN] epoch=91, iter=33730/80000, loss=0.2563, lr=0.006109, batch_cost=0.8267, reader_cost=0.0014 | ETA 10:37:30 2020-12-16 21:13:32 [INFO] [TRAIN] epoch=91, iter=33740/80000, loss=0.2092, lr=0.006108, batch_cost=0.8625, reader_cost=0.0001 | ETA 11:05:01 2020-12-16 21:13:40 [INFO] [TRAIN] epoch=91, iter=33750/80000, loss=0.1606, lr=0.006107, batch_cost=0.8088, reader_cost=0.0013 | ETA 10:23:26 2020-12-16 21:13:48 [INFO] [TRAIN] epoch=91, iter=33760/80000, loss=0.1977, lr=0.006106, batch_cost=0.7395, reader_cost=0.0022 | ETA 09:29:55 2020-12-16 21:13:55 [INFO] [TRAIN] epoch=91, iter=33770/80000, loss=0.2499, lr=0.006105, batch_cost=0.7592, reader_cost=0.0015 | ETA 09:44:59 2020-12-16 21:14:04 [INFO] [TRAIN] epoch=91, iter=33780/80000, loss=0.2079, lr=0.006103, batch_cost=0.8427, reader_cost=0.0019 | ETA 10:49:11 2020-12-16 21:14:12 [INFO] [TRAIN] epoch=91, iter=33790/80000, loss=0.1893, lr=0.006102, batch_cost=0.8486, reader_cost=0.0006 | ETA 10:53:34 2020-12-16 21:14:22 [INFO] [TRAIN] epoch=91, iter=33800/80000, loss=0.3007, lr=0.006101, batch_cost=0.9444, reader_cost=0.0015 | ETA 12:07:12 2020-12-16 21:14:30 [INFO] [TRAIN] epoch=91, iter=33810/80000, loss=0.1628, lr=0.006100, batch_cost=0.8110, reader_cost=0.0015 | ETA 10:24:19 2020-12-16 21:14:38 [INFO] [TRAIN] epoch=91, iter=33820/80000, loss=0.2364, lr=0.006099, batch_cost=0.8492, reader_cost=0.0017 | ETA 10:53:34 2020-12-16 21:14:47 [INFO] [TRAIN] epoch=91, iter=33830/80000, loss=0.1666, lr=0.006097, batch_cost=0.8231, reader_cost=0.0005 | ETA 10:33:22 2020-12-16 21:14:55 [INFO] [TRAIN] epoch=91, iter=33840/80000, loss=0.1787, lr=0.006096, batch_cost=0.8005, reader_cost=0.0022 | ETA 10:15:49 2020-12-16 21:15:01 [INFO] [TRAIN] epoch=91, iter=33850/80000, loss=0.1970, lr=0.006095, batch_cost=0.6617, reader_cost=0.0001 | ETA 08:28:56 2020-12-16 21:15:10 [INFO] [TRAIN] epoch=92, iter=33860/80000, loss=0.1942, lr=0.006094, batch_cost=0.8830, reader_cost=0.0623 | ETA 11:19:03 2020-12-16 21:15:18 [INFO] [TRAIN] epoch=92, iter=33870/80000, loss=0.2056, lr=0.006093, batch_cost=0.7465, reader_cost=0.0006 | ETA 09:33:54 2020-12-16 21:15:26 [INFO] [TRAIN] epoch=92, iter=33880/80000, loss=0.1462, lr=0.006092, batch_cost=0.8297, reader_cost=0.0001 | ETA 10:37:45 2020-12-16 21:15:34 [INFO] [TRAIN] epoch=92, iter=33890/80000, loss=0.1754, lr=0.006090, batch_cost=0.7988, reader_cost=0.0005 | ETA 10:13:54 2020-12-16 21:15:42 [INFO] [TRAIN] epoch=92, iter=33900/80000, loss=0.2227, lr=0.006089, batch_cost=0.8163, reader_cost=0.0022 | ETA 10:27:09 2020-12-16 21:15:50 [INFO] [TRAIN] epoch=92, iter=33910/80000, loss=0.2461, lr=0.006088, batch_cost=0.8153, reader_cost=0.0034 | ETA 10:26:18 2020-12-16 21:16:00 [INFO] [TRAIN] epoch=92, iter=33920/80000, loss=0.2032, lr=0.006087, batch_cost=0.9589, reader_cost=0.0042 | ETA 12:16:24 2020-12-16 21:16:07 [INFO] [TRAIN] epoch=92, iter=33930/80000, loss=0.2072, lr=0.006086, batch_cost=0.7405, reader_cost=0.0001 | ETA 09:28:35 2020-12-16 21:16:15 [INFO] [TRAIN] epoch=92, iter=33940/80000, loss=0.1706, lr=0.006084, batch_cost=0.7554, reader_cost=0.0003 | ETA 09:39:53 2020-12-16 21:16:21 [INFO] [TRAIN] epoch=92, iter=33950/80000, loss=0.1909, lr=0.006083, batch_cost=0.5791, reader_cost=0.0002 | ETA 07:24:27 2020-12-16 21:16:26 [INFO] [TRAIN] epoch=92, iter=33960/80000, loss=0.2249, lr=0.006082, batch_cost=0.5881, reader_cost=0.0001 | ETA 07:31:15 2020-12-16 21:16:34 [INFO] [TRAIN] epoch=92, iter=33970/80000, loss=0.2371, lr=0.006081, batch_cost=0.7615, reader_cost=0.0006 | ETA 09:44:10 2020-12-16 21:16:43 [INFO] [TRAIN] epoch=92, iter=33980/80000, loss=0.1938, lr=0.006080, batch_cost=0.8504, reader_cost=0.0001 | ETA 10:52:15 2020-12-16 21:16:50 [INFO] [TRAIN] epoch=92, iter=33990/80000, loss=0.1594, lr=0.006078, batch_cost=0.7778, reader_cost=0.0008 | ETA 09:56:28 2020-12-16 21:16:58 [INFO] [TRAIN] epoch=92, iter=34000/80000, loss=0.2179, lr=0.006077, batch_cost=0.7694, reader_cost=0.0010 | ETA 09:49:53 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-16 21:16:58 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:17:41 [INFO] [EVAL] #Images=500 mIoU=0.7606 Acc=0.9569 Kappa=0.9440 2020-12-16 21:17:41 [INFO] [EVAL] Class IoU: [0.9792 0.8332 0.9193 0.5574 0.5987 0.5799 0.6848 0.7642 0.9189 0.6008 0.9427 0.8025 0.5974 0.9423 0.8244 0.8072 0.7025 0.6331 0.7629] 2020-12-16 21:17:41 [INFO] [EVAL] Class Acc: [0.9919 0.8979 0.949 0.7855 0.793 0.7752 0.8309 0.9075 0.9512 0.8835 0.9721 0.8688 0.786 0.9693 0.9245 0.8988 0.8323 0.7763 0.866 ] 2020-12-16 21:17:48 [INFO] [EVAL] The model with the best validation mIoU (0.7606) was saved at iter 34000. 2020-12-16 21:17:57 [INFO] [TRAIN] epoch=92, iter=34010/80000, loss=0.1804, lr=0.006076, batch_cost=0.8362, reader_cost=0.0006 | ETA 10:40:54 2020-12-16 21:18:04 [INFO] [TRAIN] epoch=92, iter=34020/80000, loss=0.1948, lr=0.006075, batch_cost=0.7778, reader_cost=0.0001 | ETA 09:56:02 2020-12-16 21:18:12 [INFO] [TRAIN] epoch=92, iter=34030/80000, loss=0.2735, lr=0.006074, batch_cost=0.7888, reader_cost=0.0002 | ETA 10:04:19 2020-12-16 21:18:20 [INFO] [TRAIN] epoch=92, iter=34040/80000, loss=0.2293, lr=0.006073, batch_cost=0.7755, reader_cost=0.0039 | ETA 09:54:01 2020-12-16 21:18:28 [INFO] [TRAIN] epoch=92, iter=34050/80000, loss=0.1832, lr=0.006071, batch_cost=0.7621, reader_cost=0.0010 | ETA 09:43:38 2020-12-16 21:18:36 [INFO] [TRAIN] epoch=92, iter=34060/80000, loss=0.1596, lr=0.006070, batch_cost=0.7983, reader_cost=0.0007 | ETA 10:11:12 2020-12-16 21:18:44 [INFO] [TRAIN] epoch=92, iter=34070/80000, loss=0.1626, lr=0.006069, batch_cost=0.8228, reader_cost=0.0015 | ETA 10:29:53 2020-12-16 21:18:53 [INFO] [TRAIN] epoch=92, iter=34080/80000, loss=0.1510, lr=0.006068, batch_cost=0.8856, reader_cost=0.0008 | ETA 11:17:48 2020-12-16 21:19:01 [INFO] [TRAIN] epoch=92, iter=34090/80000, loss=0.1917, lr=0.006067, batch_cost=0.8069, reader_cost=0.0002 | ETA 10:17:24 2020-12-16 21:19:09 [INFO] [TRAIN] epoch=92, iter=34100/80000, loss=0.1823, lr=0.006065, batch_cost=0.8477, reader_cost=0.0014 | ETA 10:48:28 2020-12-16 21:19:17 [INFO] [TRAIN] epoch=92, iter=34110/80000, loss=0.2181, lr=0.006064, batch_cost=0.7727, reader_cost=0.0023 | ETA 09:50:59 2020-12-16 21:19:25 [INFO] [TRAIN] epoch=92, iter=34120/80000, loss=0.1437, lr=0.006063, batch_cost=0.7837, reader_cost=0.0001 | ETA 09:59:17 2020-12-16 21:19:33 [INFO] [TRAIN] epoch=92, iter=34130/80000, loss=0.1355, lr=0.006062, batch_cost=0.8271, reader_cost=0.0004 | ETA 10:32:21 2020-12-16 21:19:42 [INFO] [TRAIN] epoch=92, iter=34140/80000, loss=0.1711, lr=0.006061, batch_cost=0.8771, reader_cost=0.0014 | ETA 11:10:25 2020-12-16 21:19:50 [INFO] [TRAIN] epoch=92, iter=34150/80000, loss=0.1786, lr=0.006059, batch_cost=0.8001, reader_cost=0.0014 | ETA 10:11:23 2020-12-16 21:19:58 [INFO] [TRAIN] epoch=92, iter=34160/80000, loss=0.1787, lr=0.006058, batch_cost=0.8306, reader_cost=0.0010 | ETA 10:34:32 2020-12-16 21:20:06 [INFO] [TRAIN] epoch=92, iter=34170/80000, loss=0.1923, lr=0.006057, batch_cost=0.7535, reader_cost=0.0001 | ETA 09:35:33 2020-12-16 21:20:14 [INFO] [TRAIN] epoch=92, iter=34180/80000, loss=0.2182, lr=0.006056, batch_cost=0.8082, reader_cost=0.0022 | ETA 10:17:10 2020-12-16 21:20:22 [INFO] [TRAIN] epoch=92, iter=34190/80000, loss=0.2159, lr=0.006055, batch_cost=0.7754, reader_cost=0.0035 | ETA 09:52:01 2020-12-16 21:20:30 [INFO] [TRAIN] epoch=92, iter=34200/80000, loss=0.2120, lr=0.006053, batch_cost=0.7915, reader_cost=0.0081 | ETA 10:04:11 2020-12-16 21:20:38 [INFO] [TRAIN] epoch=92, iter=34210/80000, loss=0.2352, lr=0.006052, batch_cost=0.8712, reader_cost=0.0005 | ETA 11:04:52 2020-12-16 21:20:46 [INFO] [TRAIN] epoch=92, iter=34220/80000, loss=0.2044, lr=0.006051, batch_cost=0.7985, reader_cost=0.0015 | ETA 10:09:14 2020-12-16 21:20:53 [INFO] [TRAIN] epoch=93, iter=34230/80000, loss=0.1522, lr=0.006050, batch_cost=0.7177, reader_cost=0.0578 | ETA 09:07:28 2020-12-16 21:20:59 [INFO] [TRAIN] epoch=93, iter=34240/80000, loss=0.1481, lr=0.006049, batch_cost=0.5561, reader_cost=0.0001 | ETA 07:04:05 2020-12-16 21:21:06 [INFO] [TRAIN] epoch=93, iter=34250/80000, loss=0.2224, lr=0.006048, batch_cost=0.7182, reader_cost=0.0003 | ETA 09:07:36 2020-12-16 21:21:15 [INFO] [TRAIN] epoch=93, iter=34260/80000, loss=0.2621, lr=0.006046, batch_cost=0.8328, reader_cost=0.0002 | ETA 10:34:50 2020-12-16 21:21:23 [INFO] [TRAIN] epoch=93, iter=34270/80000, loss=0.1774, lr=0.006045, batch_cost=0.7984, reader_cost=0.0028 | ETA 10:08:28 2020-12-16 21:21:30 [INFO] [TRAIN] epoch=93, iter=34280/80000, loss=0.2323, lr=0.006044, batch_cost=0.7697, reader_cost=0.0008 | ETA 09:46:31 2020-12-16 21:21:39 [INFO] [TRAIN] epoch=93, iter=34290/80000, loss=0.1989, lr=0.006043, batch_cost=0.8829, reader_cost=0.0031 | ETA 11:12:38 2020-12-16 21:21:47 [INFO] [TRAIN] epoch=93, iter=34300/80000, loss=0.1887, lr=0.006042, batch_cost=0.8319, reader_cost=0.0069 | ETA 10:33:37 2020-12-16 21:21:55 [INFO] [TRAIN] epoch=93, iter=34310/80000, loss=0.2045, lr=0.006040, batch_cost=0.7809, reader_cost=0.0006 | ETA 09:54:38 2020-12-16 21:22:03 [INFO] [TRAIN] epoch=93, iter=34320/80000, loss=0.1816, lr=0.006039, batch_cost=0.7873, reader_cost=0.0005 | ETA 09:59:24 2020-12-16 21:22:11 [INFO] [TRAIN] epoch=93, iter=34330/80000, loss=0.1706, lr=0.006038, batch_cost=0.8111, reader_cost=0.0022 | ETA 10:17:22 2020-12-16 21:22:20 [INFO] [TRAIN] epoch=93, iter=34340/80000, loss=0.1808, lr=0.006037, batch_cost=0.8530, reader_cost=0.0014 | ETA 10:49:06 2020-12-16 21:22:28 [INFO] [TRAIN] epoch=93, iter=34350/80000, loss=0.1898, lr=0.006036, batch_cost=0.8780, reader_cost=0.0005 | ETA 11:08:02 2020-12-16 21:22:37 [INFO] [TRAIN] epoch=93, iter=34360/80000, loss=0.2482, lr=0.006034, batch_cost=0.8213, reader_cost=0.0015 | ETA 10:24:45 2020-12-16 21:22:45 [INFO] [TRAIN] epoch=93, iter=34370/80000, loss=0.1398, lr=0.006033, batch_cost=0.8344, reader_cost=0.0011 | ETA 10:34:32 2020-12-16 21:22:53 [INFO] [TRAIN] epoch=93, iter=34380/80000, loss=0.1798, lr=0.006032, batch_cost=0.7860, reader_cost=0.0002 | ETA 09:57:38 2020-12-16 21:23:01 [INFO] [TRAIN] epoch=93, iter=34390/80000, loss=0.1712, lr=0.006031, batch_cost=0.8113, reader_cost=0.0073 | ETA 10:16:43 2020-12-16 21:23:09 [INFO] [TRAIN] epoch=93, iter=34400/80000, loss=0.2151, lr=0.006030, batch_cost=0.8483, reader_cost=0.0044 | ETA 10:44:41 2020-12-16 21:23:18 [INFO] [TRAIN] epoch=93, iter=34410/80000, loss=0.2138, lr=0.006029, batch_cost=0.8748, reader_cost=0.0019 | ETA 11:04:40 2020-12-16 21:23:27 [INFO] [TRAIN] epoch=93, iter=34420/80000, loss=0.2075, lr=0.006027, batch_cost=0.8439, reader_cost=0.0010 | ETA 10:41:04 2020-12-16 21:23:36 [INFO] [TRAIN] epoch=93, iter=34430/80000, loss=0.3200, lr=0.006026, batch_cost=0.9080, reader_cost=0.0048 | ETA 11:29:39 2020-12-16 21:23:44 [INFO] [TRAIN] epoch=93, iter=34440/80000, loss=0.2698, lr=0.006025, batch_cost=0.8322, reader_cost=0.0006 | ETA 10:31:52 2020-12-16 21:23:52 [INFO] [TRAIN] epoch=93, iter=34450/80000, loss=0.1683, lr=0.006024, batch_cost=0.8121, reader_cost=0.0026 | ETA 10:16:31 2020-12-16 21:24:01 [INFO] [TRAIN] epoch=93, iter=34460/80000, loss=0.2265, lr=0.006023, batch_cost=0.8680, reader_cost=0.0018 | ETA 10:58:48 2020-12-16 21:24:09 [INFO] [TRAIN] epoch=93, iter=34470/80000, loss=0.2165, lr=0.006021, batch_cost=0.7962, reader_cost=0.0024 | ETA 10:04:11 2020-12-16 21:24:18 [INFO] [TRAIN] epoch=93, iter=34480/80000, loss=0.2550, lr=0.006020, batch_cost=0.8993, reader_cost=0.0009 | ETA 11:22:17 2020-12-16 21:24:26 [INFO] [TRAIN] epoch=93, iter=34490/80000, loss=0.1916, lr=0.006019, batch_cost=0.8154, reader_cost=0.0002 | ETA 10:18:27 2020-12-16 21:24:34 [INFO] [TRAIN] epoch=93, iter=34500/80000, loss=0.1545, lr=0.006018, batch_cost=0.7929, reader_cost=0.0038 | ETA 10:01:19 2020-12-16 21:24:42 [INFO] [TRAIN] epoch=93, iter=34510/80000, loss=0.1330, lr=0.006017, batch_cost=0.8339, reader_cost=0.0020 | ETA 10:32:15 2020-12-16 21:24:51 [INFO] [TRAIN] epoch=93, iter=34520/80000, loss=0.1955, lr=0.006015, batch_cost=0.8401, reader_cost=0.0001 | ETA 10:36:46 2020-12-16 21:24:59 [INFO] [TRAIN] epoch=93, iter=34530/80000, loss=0.1509, lr=0.006014, batch_cost=0.8194, reader_cost=0.0001 | ETA 10:20:56 2020-12-16 21:25:07 [INFO] [TRAIN] epoch=93, iter=34540/80000, loss=0.1988, lr=0.006013, batch_cost=0.8102, reader_cost=0.0049 | ETA 10:13:52 2020-12-16 21:25:15 [INFO] [TRAIN] epoch=93, iter=34550/80000, loss=0.2326, lr=0.006012, batch_cost=0.7887, reader_cost=0.0003 | ETA 09:57:26 2020-12-16 21:25:23 [INFO] [TRAIN] epoch=93, iter=34560/80000, loss=0.4352, lr=0.006011, batch_cost=0.8614, reader_cost=0.0016 | ETA 10:52:20 2020-12-16 21:25:30 [INFO] [TRAIN] epoch=93, iter=34570/80000, loss=0.1764, lr=0.006009, batch_cost=0.6980, reader_cost=0.0027 | ETA 08:48:29 2020-12-16 21:25:36 [INFO] [TRAIN] epoch=93, iter=34580/80000, loss=0.1811, lr=0.006008, batch_cost=0.5280, reader_cost=0.0002 | ETA 06:39:43 2020-12-16 21:25:43 [INFO] [TRAIN] epoch=93, iter=34590/80000, loss=0.1522, lr=0.006007, batch_cost=0.7482, reader_cost=0.0002 | ETA 09:26:16 2020-12-16 21:25:51 [INFO] [TRAIN] epoch=94, iter=34600/80000, loss=0.3008, lr=0.006006, batch_cost=0.7352, reader_cost=0.0701 | ETA 09:16:18 2020-12-16 21:25:59 [INFO] [TRAIN] epoch=94, iter=34610/80000, loss=0.2523, lr=0.006005, batch_cost=0.8549, reader_cost=0.0015 | ETA 10:46:45 2020-12-16 21:26:07 [INFO] [TRAIN] epoch=94, iter=34620/80000, loss=0.1885, lr=0.006004, batch_cost=0.8303, reader_cost=0.0023 | ETA 10:28:01 2020-12-16 21:26:16 [INFO] [TRAIN] epoch=94, iter=34630/80000, loss=0.2748, lr=0.006002, batch_cost=0.8127, reader_cost=0.0059 | ETA 10:14:29 2020-12-16 21:26:24 [INFO] [TRAIN] epoch=94, iter=34640/80000, loss=0.2996, lr=0.006001, batch_cost=0.8660, reader_cost=0.0011 | ETA 10:54:41 2020-12-16 21:26:32 [INFO] [TRAIN] epoch=94, iter=34650/80000, loss=0.2916, lr=0.006000, batch_cost=0.7548, reader_cost=0.0019 | ETA 09:30:32 2020-12-16 21:26:40 [INFO] [TRAIN] epoch=94, iter=34660/80000, loss=0.3506, lr=0.005999, batch_cost=0.8372, reader_cost=0.0042 | ETA 10:32:40 2020-12-16 21:26:48 [INFO] [TRAIN] epoch=94, iter=34670/80000, loss=0.2756, lr=0.005998, batch_cost=0.7433, reader_cost=0.0015 | ETA 09:21:35 2020-12-16 21:26:56 [INFO] [TRAIN] epoch=94, iter=34680/80000, loss=0.2877, lr=0.005996, batch_cost=0.8495, reader_cost=0.0008 | ETA 10:41:41 2020-12-16 21:27:04 [INFO] [TRAIN] epoch=94, iter=34690/80000, loss=0.2359, lr=0.005995, batch_cost=0.8167, reader_cost=0.0026 | ETA 10:16:44 2020-12-16 21:27:13 [INFO] [TRAIN] epoch=94, iter=34700/80000, loss=0.2464, lr=0.005994, batch_cost=0.8505, reader_cost=0.0002 | ETA 10:42:08 2020-12-16 21:27:21 [INFO] [TRAIN] epoch=94, iter=34710/80000, loss=0.3432, lr=0.005993, batch_cost=0.8584, reader_cost=0.0085 | ETA 10:47:55 2020-12-16 21:27:29 [INFO] [TRAIN] epoch=94, iter=34720/80000, loss=0.2798, lr=0.005992, batch_cost=0.7451, reader_cost=0.0021 | ETA 09:22:16 2020-12-16 21:27:34 [INFO] [TRAIN] epoch=94, iter=34730/80000, loss=0.2735, lr=0.005990, batch_cost=0.5364, reader_cost=0.0001 | ETA 06:44:44 2020-12-16 21:27:40 [INFO] [TRAIN] epoch=94, iter=34740/80000, loss=0.2339, lr=0.005989, batch_cost=0.5523, reader_cost=0.0001 | ETA 06:56:38 2020-12-16 21:27:45 [INFO] [TRAIN] epoch=94, iter=34750/80000, loss=0.2580, lr=0.005988, batch_cost=0.5442, reader_cost=0.0005 | ETA 06:50:25 2020-12-16 21:27:51 [INFO] [TRAIN] epoch=94, iter=34760/80000, loss=0.2457, lr=0.005987, batch_cost=0.5420, reader_cost=0.0001 | ETA 06:48:39 2020-12-16 21:27:56 [INFO] [TRAIN] epoch=94, iter=34770/80000, loss=0.2093, lr=0.005986, batch_cost=0.5390, reader_cost=0.0001 | ETA 06:46:20 2020-12-16 21:28:01 [INFO] [TRAIN] epoch=94, iter=34780/80000, loss=0.2389, lr=0.005984, batch_cost=0.5378, reader_cost=0.0002 | ETA 06:45:19 2020-12-16 21:28:08 [INFO] [TRAIN] epoch=94, iter=34790/80000, loss=0.2102, lr=0.005983, batch_cost=0.6321, reader_cost=0.0001 | ETA 07:56:19 2020-12-16 21:28:16 [INFO] [TRAIN] epoch=94, iter=34800/80000, loss=0.1960, lr=0.005982, batch_cost=0.8334, reader_cost=0.0065 | ETA 10:27:49 2020-12-16 21:28:24 [INFO] [TRAIN] epoch=94, iter=34810/80000, loss=0.1853, lr=0.005981, batch_cost=0.7860, reader_cost=0.0065 | ETA 09:51:57 2020-12-16 21:28:31 [INFO] [TRAIN] epoch=94, iter=34820/80000, loss=0.2094, lr=0.005980, batch_cost=0.7574, reader_cost=0.0008 | ETA 09:30:20 2020-12-16 21:28:39 [INFO] [TRAIN] epoch=94, iter=34830/80000, loss=0.1987, lr=0.005979, batch_cost=0.8004, reader_cost=0.0001 | ETA 10:02:35 2020-12-16 21:28:48 [INFO] [TRAIN] epoch=94, iter=34840/80000, loss=0.1652, lr=0.005977, batch_cost=0.8601, reader_cost=0.0025 | ETA 10:47:23 2020-12-16 21:28:56 [INFO] [TRAIN] epoch=94, iter=34850/80000, loss=0.1766, lr=0.005976, batch_cost=0.7857, reader_cost=0.0001 | ETA 09:51:16 2020-12-16 21:29:04 [INFO] [TRAIN] epoch=94, iter=34860/80000, loss=0.1590, lr=0.005975, batch_cost=0.8163, reader_cost=0.0023 | ETA 10:14:06 2020-12-16 21:29:13 [INFO] [TRAIN] epoch=94, iter=34870/80000, loss=0.2372, lr=0.005974, batch_cost=0.8596, reader_cost=0.0003 | ETA 10:46:32 2020-12-16 21:29:21 [INFO] [TRAIN] epoch=94, iter=34880/80000, loss=0.2511, lr=0.005973, batch_cost=0.8818, reader_cost=0.0005 | ETA 11:03:08 2020-12-16 21:29:29 [INFO] [TRAIN] epoch=94, iter=34890/80000, loss=0.2491, lr=0.005971, batch_cost=0.7616, reader_cost=0.0020 | ETA 09:32:37 2020-12-16 21:29:37 [INFO] [TRAIN] epoch=94, iter=34900/80000, loss=0.2195, lr=0.005970, batch_cost=0.8336, reader_cost=0.0009 | ETA 10:26:34 2020-12-16 21:29:46 [INFO] [TRAIN] epoch=94, iter=34910/80000, loss=0.2103, lr=0.005969, batch_cost=0.8710, reader_cost=0.0025 | ETA 10:54:33 2020-12-16 21:29:54 [INFO] [TRAIN] epoch=94, iter=34920/80000, loss=0.2231, lr=0.005968, batch_cost=0.8303, reader_cost=0.0020 | ETA 10:23:49 2020-12-16 21:30:02 [INFO] [TRAIN] epoch=94, iter=34930/80000, loss=0.2492, lr=0.005967, batch_cost=0.7561, reader_cost=0.0009 | ETA 09:27:57 2020-12-16 21:30:10 [INFO] [TRAIN] epoch=94, iter=34940/80000, loss=0.1872, lr=0.005965, batch_cost=0.7619, reader_cost=0.0013 | ETA 09:32:09 2020-12-16 21:30:18 [INFO] [TRAIN] epoch=94, iter=34950/80000, loss=0.2193, lr=0.005964, batch_cost=0.8711, reader_cost=0.0034 | ETA 10:54:01 2020-12-16 21:30:27 [INFO] [TRAIN] epoch=94, iter=34960/80000, loss=0.2630, lr=0.005963, batch_cost=0.8941, reader_cost=0.0001 | ETA 11:11:09 2020-12-16 21:30:35 [INFO] [TRAIN] epoch=95, iter=34970/80000, loss=0.1335, lr=0.005962, batch_cost=0.7295, reader_cost=0.0662 | ETA 09:07:30 2020-12-16 21:30:41 [INFO] [TRAIN] epoch=95, iter=34980/80000, loss=0.1829, lr=0.005961, batch_cost=0.6322, reader_cost=0.0001 | ETA 07:54:23 2020-12-16 21:30:47 [INFO] [TRAIN] epoch=95, iter=34990/80000, loss=0.1784, lr=0.005959, batch_cost=0.6404, reader_cost=0.0001 | ETA 08:00:26 2020-12-16 21:30:56 [INFO] [TRAIN] epoch=95, iter=35000/80000, loss=0.1364, lr=0.005958, batch_cost=0.8300, reader_cost=0.0023 | ETA 10:22:28 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:30:56 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:31:39 [INFO] [EVAL] #Images=500 mIoU=0.7516 Acc=0.9561 Kappa=0.9430 2020-12-16 21:31:39 [INFO] [EVAL] Class IoU: [0.9792 0.8384 0.9151 0.4923 0.57 0.5667 0.6868 0.7624 0.9198 0.6502 0.9445 0.803 0.608 0.9357 0.8002 0.7933 0.6323 0.6146 0.7684] 2020-12-16 21:31:39 [INFO] [EVAL] Class Acc: [0.9918 0.9019 0.941 0.8689 0.7638 0.7921 0.8332 0.8977 0.9548 0.8455 0.97 0.8727 0.8025 0.9714 0.8818 0.8795 0.7781 0.8269 0.8574] 2020-12-16 21:31:43 [INFO] [EVAL] The model with the best validation mIoU (0.7606) was saved at iter 34000. 2020-12-16 21:31:51 [INFO] [TRAIN] epoch=95, iter=35010/80000, loss=0.1650, lr=0.005957, batch_cost=0.7566, reader_cost=0.0003 | ETA 09:27:20 2020-12-16 21:31:59 [INFO] [TRAIN] epoch=95, iter=35020/80000, loss=0.2180, lr=0.005956, batch_cost=0.8456, reader_cost=0.0018 | ETA 10:33:57 2020-12-16 21:32:08 [INFO] [TRAIN] epoch=95, iter=35030/80000, loss=0.1631, lr=0.005955, batch_cost=0.8284, reader_cost=0.0001 | ETA 10:20:54 2020-12-16 21:32:16 [INFO] [TRAIN] epoch=95, iter=35040/80000, loss=0.2277, lr=0.005953, batch_cost=0.7930, reader_cost=0.0001 | ETA 09:54:12 2020-12-16 21:32:23 [INFO] [TRAIN] epoch=95, iter=35050/80000, loss=0.2796, lr=0.005952, batch_cost=0.7703, reader_cost=0.0038 | ETA 09:37:03 2020-12-16 21:32:31 [INFO] [TRAIN] epoch=95, iter=35060/80000, loss=0.1938, lr=0.005951, batch_cost=0.8131, reader_cost=0.0001 | ETA 10:08:58 2020-12-16 21:32:39 [INFO] [TRAIN] epoch=95, iter=35070/80000, loss=0.1969, lr=0.005950, batch_cost=0.8046, reader_cost=0.0043 | ETA 10:02:29 2020-12-16 21:32:47 [INFO] [TRAIN] epoch=95, iter=35080/80000, loss=0.2087, lr=0.005949, batch_cost=0.7357, reader_cost=0.0017 | ETA 09:10:47 2020-12-16 21:32:55 [INFO] [TRAIN] epoch=95, iter=35090/80000, loss=0.1886, lr=0.005948, batch_cost=0.8077, reader_cost=0.0015 | ETA 10:04:32 2020-12-16 21:33:02 [INFO] [TRAIN] epoch=95, iter=35100/80000, loss=0.2553, lr=0.005946, batch_cost=0.7206, reader_cost=0.0023 | ETA 08:59:14 2020-12-16 21:33:10 [INFO] [TRAIN] epoch=95, iter=35110/80000, loss=0.1780, lr=0.005945, batch_cost=0.7726, reader_cost=0.0001 | ETA 09:38:01 2020-12-16 21:33:17 [INFO] [TRAIN] epoch=95, iter=35120/80000, loss=0.2014, lr=0.005944, batch_cost=0.7612, reader_cost=0.0011 | ETA 09:29:24 2020-12-16 21:33:26 [INFO] [TRAIN] epoch=95, iter=35130/80000, loss=0.1381, lr=0.005943, batch_cost=0.8204, reader_cost=0.0017 | ETA 10:13:29 2020-12-16 21:33:33 [INFO] [TRAIN] epoch=95, iter=35140/80000, loss=0.1936, lr=0.005942, batch_cost=0.7049, reader_cost=0.0001 | ETA 08:47:03 2020-12-16 21:33:40 [INFO] [TRAIN] epoch=95, iter=35150/80000, loss=0.1875, lr=0.005940, batch_cost=0.7676, reader_cost=0.0013 | ETA 09:33:45 2020-12-16 21:33:48 [INFO] [TRAIN] epoch=95, iter=35160/80000, loss=0.1578, lr=0.005939, batch_cost=0.7541, reader_cost=0.0023 | ETA 09:23:34 2020-12-16 21:33:55 [INFO] [TRAIN] epoch=95, iter=35170/80000, loss=0.1857, lr=0.005938, batch_cost=0.7405, reader_cost=0.0014 | ETA 09:13:16 2020-12-16 21:34:02 [INFO] [TRAIN] epoch=95, iter=35180/80000, loss=0.3457, lr=0.005937, batch_cost=0.7048, reader_cost=0.0030 | ETA 08:46:29 2020-12-16 21:34:10 [INFO] [TRAIN] epoch=95, iter=35190/80000, loss=0.3262, lr=0.005936, batch_cost=0.7592, reader_cost=0.0010 | ETA 09:26:58 2020-12-16 21:34:17 [INFO] [TRAIN] epoch=95, iter=35200/80000, loss=0.1764, lr=0.005934, batch_cost=0.6920, reader_cost=0.0015 | ETA 08:36:42 2020-12-16 21:34:24 [INFO] [TRAIN] epoch=95, iter=35210/80000, loss=0.2153, lr=0.005933, batch_cost=0.6887, reader_cost=0.0005 | ETA 08:34:05 2020-12-16 21:34:31 [INFO] [TRAIN] epoch=95, iter=35220/80000, loss=0.1468, lr=0.005932, batch_cost=0.7674, reader_cost=0.0008 | ETA 09:32:44 2020-12-16 21:34:40 [INFO] [TRAIN] epoch=95, iter=35230/80000, loss=0.1778, lr=0.005931, batch_cost=0.8142, reader_cost=0.0012 | ETA 10:07:33 2020-12-16 21:34:47 [INFO] [TRAIN] epoch=95, iter=35240/80000, loss=0.1771, lr=0.005930, batch_cost=0.7653, reader_cost=0.0042 | ETA 09:30:53 2020-12-16 21:34:54 [INFO] [TRAIN] epoch=95, iter=35250/80000, loss=0.2708, lr=0.005928, batch_cost=0.7246, reader_cost=0.0012 | ETA 09:00:26 2020-12-16 21:35:02 [INFO] [TRAIN] epoch=95, iter=35260/80000, loss=0.1876, lr=0.005927, batch_cost=0.7961, reader_cost=0.0031 | ETA 09:53:38 2020-12-16 21:35:10 [INFO] [TRAIN] epoch=95, iter=35270/80000, loss=0.2119, lr=0.005926, batch_cost=0.7830, reader_cost=0.0002 | ETA 09:43:44 2020-12-16 21:35:17 [INFO] [TRAIN] epoch=95, iter=35280/80000, loss=0.1672, lr=0.005925, batch_cost=0.6643, reader_cost=0.0003 | ETA 08:15:08 2020-12-16 21:35:22 [INFO] [TRAIN] epoch=95, iter=35290/80000, loss=0.2297, lr=0.005924, batch_cost=0.5382, reader_cost=0.0001 | ETA 06:41:03 2020-12-16 21:35:30 [INFO] [TRAIN] epoch=95, iter=35300/80000, loss=0.1608, lr=0.005922, batch_cost=0.7260, reader_cost=0.0024 | ETA 09:00:53 2020-12-16 21:35:38 [INFO] [TRAIN] epoch=95, iter=35310/80000, loss=0.1862, lr=0.005921, batch_cost=0.8118, reader_cost=0.0036 | ETA 10:04:38 2020-12-16 21:35:46 [INFO] [TRAIN] epoch=95, iter=35320/80000, loss=0.2204, lr=0.005920, batch_cost=0.8691, reader_cost=0.0001 | ETA 10:47:12 2020-12-16 21:35:55 [INFO] [TRAIN] epoch=95, iter=35330/80000, loss=0.1856, lr=0.005919, batch_cost=0.8290, reader_cost=0.0019 | ETA 10:17:10 2020-12-16 21:36:01 [INFO] [TRAIN] epoch=95, iter=35340/80000, loss=0.1716, lr=0.005918, batch_cost=0.6283, reader_cost=0.0034 | ETA 07:47:40 2020-12-16 21:36:10 [INFO] [TRAIN] epoch=96, iter=35350/80000, loss=0.2043, lr=0.005917, batch_cost=0.8769, reader_cost=0.0578 | ETA 10:52:35 2020-12-16 21:36:19 [INFO] [TRAIN] epoch=96, iter=35360/80000, loss=0.1491, lr=0.005915, batch_cost=0.9204, reader_cost=0.0031 | ETA 11:24:45 2020-12-16 21:36:27 [INFO] [TRAIN] epoch=96, iter=35370/80000, loss=0.2856, lr=0.005914, batch_cost=0.7865, reader_cost=0.0001 | ETA 09:45:01 2020-12-16 21:36:35 [INFO] [TRAIN] epoch=96, iter=35380/80000, loss=0.2379, lr=0.005913, batch_cost=0.8315, reader_cost=0.0038 | ETA 10:18:21 2020-12-16 21:36:43 [INFO] [TRAIN] epoch=96, iter=35390/80000, loss=0.1655, lr=0.005912, batch_cost=0.7463, reader_cost=0.0042 | ETA 09:14:51 2020-12-16 21:36:50 [INFO] [TRAIN] epoch=96, iter=35400/80000, loss=0.2127, lr=0.005911, batch_cost=0.7241, reader_cost=0.0033 | ETA 08:58:15 2020-12-16 21:36:57 [INFO] [TRAIN] epoch=96, iter=35410/80000, loss=0.2735, lr=0.005909, batch_cost=0.7523, reader_cost=0.0035 | ETA 09:19:03 2020-12-16 21:37:05 [INFO] [TRAIN] epoch=96, iter=35420/80000, loss=0.2258, lr=0.005908, batch_cost=0.7201, reader_cost=0.0005 | ETA 08:55:00 2020-12-16 21:37:13 [INFO] [TRAIN] epoch=96, iter=35430/80000, loss=0.2313, lr=0.005907, batch_cost=0.8098, reader_cost=0.0001 | ETA 10:01:32 2020-12-16 21:37:21 [INFO] [TRAIN] epoch=96, iter=35440/80000, loss=0.1836, lr=0.005906, batch_cost=0.8120, reader_cost=0.0039 | ETA 10:03:04 2020-12-16 21:37:29 [INFO] [TRAIN] epoch=96, iter=35450/80000, loss=0.2098, lr=0.005905, batch_cost=0.7772, reader_cost=0.0007 | ETA 09:37:03 2020-12-16 21:37:37 [INFO] [TRAIN] epoch=96, iter=35460/80000, loss=0.1573, lr=0.005903, batch_cost=0.8001, reader_cost=0.0001 | ETA 09:53:54 2020-12-16 21:37:45 [INFO] [TRAIN] epoch=96, iter=35470/80000, loss=0.1681, lr=0.005902, batch_cost=0.8506, reader_cost=0.0033 | ETA 10:31:18 2020-12-16 21:37:54 [INFO] [TRAIN] epoch=96, iter=35480/80000, loss=0.1891, lr=0.005901, batch_cost=0.8629, reader_cost=0.0022 | ETA 10:40:15 2020-12-16 21:38:02 [INFO] [TRAIN] epoch=96, iter=35490/80000, loss=0.2050, lr=0.005900, batch_cost=0.7867, reader_cost=0.0013 | ETA 09:43:35 2020-12-16 21:38:10 [INFO] [TRAIN] epoch=96, iter=35500/80000, loss=0.1820, lr=0.005899, batch_cost=0.8390, reader_cost=0.0002 | ETA 10:22:15 2020-12-16 21:38:17 [INFO] [TRAIN] epoch=96, iter=35510/80000, loss=0.1728, lr=0.005897, batch_cost=0.7090, reader_cost=0.0035 | ETA 08:45:44 2020-12-16 21:38:24 [INFO] [TRAIN] epoch=96, iter=35520/80000, loss=0.1995, lr=0.005896, batch_cost=0.7429, reader_cost=0.0012 | ETA 09:10:45 2020-12-16 21:38:32 [INFO] [TRAIN] epoch=96, iter=35530/80000, loss=0.3498, lr=0.005895, batch_cost=0.7284, reader_cost=0.0001 | ETA 08:59:51 2020-12-16 21:38:40 [INFO] [TRAIN] epoch=96, iter=35540/80000, loss=0.2211, lr=0.005894, batch_cost=0.8351, reader_cost=0.0039 | ETA 10:18:48 2020-12-16 21:38:48 [INFO] [TRAIN] epoch=96, iter=35550/80000, loss=0.1681, lr=0.005893, batch_cost=0.8219, reader_cost=0.0032 | ETA 10:08:54 2020-12-16 21:38:56 [INFO] [TRAIN] epoch=96, iter=35560/80000, loss=0.2275, lr=0.005891, batch_cost=0.8047, reader_cost=0.0027 | ETA 09:56:01 2020-12-16 21:39:04 [INFO] [TRAIN] epoch=96, iter=35570/80000, loss=0.2685, lr=0.005890, batch_cost=0.7974, reader_cost=0.0018 | ETA 09:50:26 2020-12-16 21:39:12 [INFO] [TRAIN] epoch=96, iter=35580/80000, loss=0.1841, lr=0.005889, batch_cost=0.7658, reader_cost=0.0006 | ETA 09:26:58 2020-12-16 21:39:20 [INFO] [TRAIN] epoch=96, iter=35590/80000, loss=0.2086, lr=0.005888, batch_cost=0.7947, reader_cost=0.0001 | ETA 09:48:12 2020-12-16 21:39:28 [INFO] [TRAIN] epoch=96, iter=35600/80000, loss=0.2438, lr=0.005887, batch_cost=0.8115, reader_cost=0.0033 | ETA 10:00:30 2020-12-16 21:39:36 [INFO] [TRAIN] epoch=96, iter=35610/80000, loss=0.1338, lr=0.005886, batch_cost=0.8235, reader_cost=0.0036 | ETA 10:09:14 2020-12-16 21:39:46 [INFO] [TRAIN] epoch=96, iter=35620/80000, loss=0.2031, lr=0.005884, batch_cost=0.9366, reader_cost=0.0009 | ETA 11:32:45 2020-12-16 21:39:54 [INFO] [TRAIN] epoch=96, iter=35630/80000, loss=0.2583, lr=0.005883, batch_cost=0.7995, reader_cost=0.0004 | ETA 09:51:12 2020-12-16 21:39:59 [INFO] [TRAIN] epoch=96, iter=35640/80000, loss=0.1848, lr=0.005882, batch_cost=0.5276, reader_cost=0.0001 | ETA 06:30:03 2020-12-16 21:40:05 [INFO] [TRAIN] epoch=96, iter=35650/80000, loss=0.2014, lr=0.005881, batch_cost=0.6375, reader_cost=0.0006 | ETA 07:51:12 2020-12-16 21:40:13 [INFO] [TRAIN] epoch=96, iter=35660/80000, loss=0.1795, lr=0.005880, batch_cost=0.8171, reader_cost=0.0007 | ETA 10:03:50 2020-12-16 21:40:22 [INFO] [TRAIN] epoch=96, iter=35670/80000, loss=0.2439, lr=0.005878, batch_cost=0.8368, reader_cost=0.0034 | ETA 10:18:13 2020-12-16 21:40:30 [INFO] [TRAIN] epoch=96, iter=35680/80000, loss=0.2685, lr=0.005877, batch_cost=0.8083, reader_cost=0.0009 | ETA 09:57:03 2020-12-16 21:40:38 [INFO] [TRAIN] epoch=96, iter=35690/80000, loss=0.1832, lr=0.005876, batch_cost=0.7882, reader_cost=0.0020 | ETA 09:42:03 2020-12-16 21:40:47 [INFO] [TRAIN] epoch=96, iter=35700/80000, loss=0.1416, lr=0.005875, batch_cost=0.8830, reader_cost=0.0012 | ETA 10:51:59 2020-12-16 21:40:53 [INFO] [TRAIN] epoch=96, iter=35710/80000, loss=0.2028, lr=0.005874, batch_cost=0.6641, reader_cost=0.0022 | ETA 08:10:13 2020-12-16 21:41:02 [INFO] [TRAIN] epoch=97, iter=35720/80000, loss=0.2048, lr=0.005872, batch_cost=0.8580, reader_cost=0.0708 | ETA 10:33:13 2020-12-16 21:41:11 [INFO] [TRAIN] epoch=97, iter=35730/80000, loss=0.1490, lr=0.005871, batch_cost=0.8657, reader_cost=0.0002 | ETA 10:38:45 2020-12-16 21:41:19 [INFO] [TRAIN] epoch=97, iter=35740/80000, loss=0.2677, lr=0.005870, batch_cost=0.8220, reader_cost=0.0002 | ETA 10:06:19 2020-12-16 21:41:26 [INFO] [TRAIN] epoch=97, iter=35750/80000, loss=0.2085, lr=0.005869, batch_cost=0.7655, reader_cost=0.0012 | ETA 09:24:35 2020-12-16 21:41:34 [INFO] [TRAIN] epoch=97, iter=35760/80000, loss=0.2123, lr=0.005868, batch_cost=0.7745, reader_cost=0.0002 | ETA 09:31:03 2020-12-16 21:41:42 [INFO] [TRAIN] epoch=97, iter=35770/80000, loss=0.2520, lr=0.005866, batch_cost=0.7821, reader_cost=0.0024 | ETA 09:36:33 2020-12-16 21:41:50 [INFO] [TRAIN] epoch=97, iter=35780/80000, loss=0.1808, lr=0.005865, batch_cost=0.7546, reader_cost=0.0028 | ETA 09:16:07 2020-12-16 21:41:58 [INFO] [TRAIN] epoch=97, iter=35790/80000, loss=0.1755, lr=0.005864, batch_cost=0.8127, reader_cost=0.0030 | ETA 09:58:50 2020-12-16 21:42:06 [INFO] [TRAIN] epoch=97, iter=35800/80000, loss=0.2118, lr=0.005863, batch_cost=0.8071, reader_cost=0.0025 | ETA 09:54:31 2020-12-16 21:42:13 [INFO] [TRAIN] epoch=97, iter=35810/80000, loss=0.1723, lr=0.005862, batch_cost=0.7078, reader_cost=0.0011 | ETA 08:41:16 2020-12-16 21:42:20 [INFO] [TRAIN] epoch=97, iter=35820/80000, loss=0.1304, lr=0.005860, batch_cost=0.7539, reader_cost=0.0016 | ETA 09:15:08 2020-12-16 21:42:28 [INFO] [TRAIN] epoch=97, iter=35830/80000, loss=0.2050, lr=0.005859, batch_cost=0.7473, reader_cost=0.0001 | ETA 09:10:07 2020-12-16 21:42:36 [INFO] [TRAIN] epoch=97, iter=35840/80000, loss=0.2235, lr=0.005858, batch_cost=0.7904, reader_cost=0.0037 | ETA 09:41:45 2020-12-16 21:42:43 [INFO] [TRAIN] epoch=97, iter=35850/80000, loss=0.2214, lr=0.005857, batch_cost=0.7627, reader_cost=0.0005 | ETA 09:21:15 2020-12-16 21:42:52 [INFO] [TRAIN] epoch=97, iter=35860/80000, loss=0.2361, lr=0.005856, batch_cost=0.8739, reader_cost=0.0006 | ETA 10:42:55 2020-12-16 21:43:00 [INFO] [TRAIN] epoch=97, iter=35870/80000, loss=0.1547, lr=0.005854, batch_cost=0.7785, reader_cost=0.0001 | ETA 09:32:35 2020-12-16 21:43:07 [INFO] [TRAIN] epoch=97, iter=35880/80000, loss=0.1548, lr=0.005853, batch_cost=0.7047, reader_cost=0.0015 | ETA 08:38:11 2020-12-16 21:43:15 [INFO] [TRAIN] epoch=97, iter=35890/80000, loss=0.1645, lr=0.005852, batch_cost=0.8554, reader_cost=0.0021 | ETA 10:28:49 2020-12-16 21:43:24 [INFO] [TRAIN] epoch=97, iter=35900/80000, loss=0.1551, lr=0.005851, batch_cost=0.8779, reader_cost=0.0026 | ETA 10:45:17 2020-12-16 21:43:32 [INFO] [TRAIN] epoch=97, iter=35910/80000, loss=0.2393, lr=0.005850, batch_cost=0.8114, reader_cost=0.0001 | ETA 09:56:14 2020-12-16 21:43:40 [INFO] [TRAIN] epoch=97, iter=35920/80000, loss=0.1974, lr=0.005849, batch_cost=0.7892, reader_cost=0.0003 | ETA 09:39:49 2020-12-16 21:43:49 [INFO] [TRAIN] epoch=97, iter=35930/80000, loss=0.2049, lr=0.005847, batch_cost=0.8481, reader_cost=0.0008 | ETA 10:22:54 2020-12-16 21:43:57 [INFO] [TRAIN] epoch=97, iter=35940/80000, loss=0.2455, lr=0.005846, batch_cost=0.8659, reader_cost=0.0021 | ETA 10:35:49 2020-12-16 21:44:06 [INFO] [TRAIN] epoch=97, iter=35950/80000, loss=0.2357, lr=0.005845, batch_cost=0.8195, reader_cost=0.0003 | ETA 10:01:38 2020-12-16 21:44:13 [INFO] [TRAIN] epoch=97, iter=35960/80000, loss=0.1790, lr=0.005844, batch_cost=0.7674, reader_cost=0.0003 | ETA 09:23:17 2020-12-16 21:44:22 [INFO] [TRAIN] epoch=97, iter=35970/80000, loss=0.1757, lr=0.005843, batch_cost=0.8557, reader_cost=0.0023 | ETA 10:27:56 2020-12-16 21:44:29 [INFO] [TRAIN] epoch=97, iter=35980/80000, loss=0.1774, lr=0.005841, batch_cost=0.7196, reader_cost=0.0043 | ETA 08:47:55 2020-12-16 21:44:34 [INFO] [TRAIN] epoch=97, iter=35990/80000, loss=0.1900, lr=0.005840, batch_cost=0.5285, reader_cost=0.0001 | ETA 06:27:38 2020-12-16 21:44:41 [INFO] [TRAIN] epoch=97, iter=36000/80000, loss=0.2590, lr=0.005839, batch_cost=0.6347, reader_cost=0.0025 | ETA 07:45:26 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:44:41 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:45:24 [INFO] [EVAL] #Images=500 mIoU=0.7535 Acc=0.9561 Kappa=0.9430 2020-12-16 21:45:24 [INFO] [EVAL] Class IoU: [0.9797 0.8373 0.9139 0.4646 0.5399 0.586 0.6866 0.7696 0.92 0.6438 0.9434 0.8037 0.594 0.9403 0.8075 0.7826 0.7265 0.6142 0.762 ] 2020-12-16 21:45:24 [INFO] [EVAL] Class Acc: [0.9897 0.9203 0.9482 0.846 0.7827 0.7581 0.7877 0.8921 0.9466 0.8638 0.9716 0.8714 0.7974 0.969 0.9486 0.8342 0.9361 0.7279 0.863 ] 2020-12-16 21:45:29 [INFO] [EVAL] The model with the best validation mIoU (0.7606) was saved at iter 34000. 2020-12-16 21:45:38 [INFO] [TRAIN] epoch=97, iter=36010/80000, loss=0.2050, lr=0.005838, batch_cost=0.8548, reader_cost=0.0002 | ETA 10:26:42 2020-12-16 21:45:46 [INFO] [TRAIN] epoch=97, iter=36020/80000, loss=0.2077, lr=0.005837, batch_cost=0.7897, reader_cost=0.0003 | ETA 09:38:49 2020-12-16 21:45:54 [INFO] [TRAIN] epoch=97, iter=36030/80000, loss=0.2062, lr=0.005835, batch_cost=0.8609, reader_cost=0.0042 | ETA 10:30:54 2020-12-16 21:46:02 [INFO] [TRAIN] epoch=97, iter=36040/80000, loss=0.2451, lr=0.005834, batch_cost=0.7920, reader_cost=0.0023 | ETA 09:40:15 2020-12-16 21:46:10 [INFO] [TRAIN] epoch=97, iter=36050/80000, loss=0.2359, lr=0.005833, batch_cost=0.7642, reader_cost=0.0006 | ETA 09:19:48 2020-12-16 21:46:18 [INFO] [TRAIN] epoch=97, iter=36060/80000, loss=0.1778, lr=0.005832, batch_cost=0.7798, reader_cost=0.0009 | ETA 09:31:04 2020-12-16 21:46:26 [INFO] [TRAIN] epoch=97, iter=36070/80000, loss=0.2168, lr=0.005831, batch_cost=0.7931, reader_cost=0.0006 | ETA 09:40:42 2020-12-16 21:46:33 [INFO] [TRAIN] epoch=97, iter=36080/80000, loss=0.2166, lr=0.005829, batch_cost=0.7732, reader_cost=0.0041 | ETA 09:25:57 2020-12-16 21:46:42 [INFO] [TRAIN] epoch=98, iter=36090/80000, loss=0.1858, lr=0.005828, batch_cost=0.8223, reader_cost=0.0780 | ETA 10:01:46 2020-12-16 21:46:50 [INFO] [TRAIN] epoch=98, iter=36100/80000, loss=0.1951, lr=0.005827, batch_cost=0.8100, reader_cost=0.0001 | ETA 09:52:40 2020-12-16 21:46:57 [INFO] [TRAIN] epoch=98, iter=36110/80000, loss=0.1746, lr=0.005826, batch_cost=0.7481, reader_cost=0.0002 | ETA 09:07:12 2020-12-16 21:47:05 [INFO] [TRAIN] epoch=98, iter=36120/80000, loss=0.2257, lr=0.005825, batch_cost=0.7672, reader_cost=0.0035 | ETA 09:21:03 2020-12-16 21:47:13 [INFO] [TRAIN] epoch=98, iter=36130/80000, loss=0.1517, lr=0.005823, batch_cost=0.7597, reader_cost=0.0036 | ETA 09:15:26 2020-12-16 21:47:20 [INFO] [TRAIN] epoch=98, iter=36140/80000, loss=0.1556, lr=0.005822, batch_cost=0.7699, reader_cost=0.0023 | ETA 09:22:49 2020-12-16 21:47:29 [INFO] [TRAIN] epoch=98, iter=36150/80000, loss=0.1970, lr=0.005821, batch_cost=0.8307, reader_cost=0.0001 | ETA 10:07:04 2020-12-16 21:47:37 [INFO] [TRAIN] epoch=98, iter=36160/80000, loss=0.2071, lr=0.005820, batch_cost=0.8352, reader_cost=0.0001 | ETA 10:10:13 2020-12-16 21:47:45 [INFO] [TRAIN] epoch=98, iter=36170/80000, loss=0.2082, lr=0.005819, batch_cost=0.8184, reader_cost=0.0039 | ETA 09:57:48 2020-12-16 21:47:52 [INFO] [TRAIN] epoch=98, iter=36180/80000, loss=0.1587, lr=0.005817, batch_cost=0.7216, reader_cost=0.0018 | ETA 08:47:00 2020-12-16 21:48:01 [INFO] [TRAIN] epoch=98, iter=36190/80000, loss=0.2444, lr=0.005816, batch_cost=0.8754, reader_cost=0.0007 | ETA 10:39:10 2020-12-16 21:48:09 [INFO] [TRAIN] epoch=98, iter=36200/80000, loss=0.1880, lr=0.005815, batch_cost=0.7917, reader_cost=0.0007 | ETA 09:37:57 2020-12-16 21:48:17 [INFO] [TRAIN] epoch=98, iter=36210/80000, loss=0.1565, lr=0.005814, batch_cost=0.7949, reader_cost=0.0021 | ETA 09:40:10 2020-12-16 21:48:24 [INFO] [TRAIN] epoch=98, iter=36220/80000, loss=0.2269, lr=0.005813, batch_cost=0.7412, reader_cost=0.0011 | ETA 09:00:51 2020-12-16 21:48:32 [INFO] [TRAIN] epoch=98, iter=36230/80000, loss=0.2449, lr=0.005811, batch_cost=0.7788, reader_cost=0.0021 | ETA 09:28:08 2020-12-16 21:48:40 [INFO] [TRAIN] epoch=98, iter=36240/80000, loss=0.1267, lr=0.005810, batch_cost=0.7561, reader_cost=0.0027 | ETA 09:11:26 2020-12-16 21:48:48 [INFO] [TRAIN] epoch=98, iter=36250/80000, loss=0.1791, lr=0.005809, batch_cost=0.7904, reader_cost=0.0002 | ETA 09:36:20 2020-12-16 21:48:56 [INFO] [TRAIN] epoch=98, iter=36260/80000, loss=0.2078, lr=0.005808, batch_cost=0.8001, reader_cost=0.0014 | ETA 09:43:17 2020-12-16 21:49:03 [INFO] [TRAIN] epoch=98, iter=36270/80000, loss=0.1714, lr=0.005807, batch_cost=0.7679, reader_cost=0.0012 | ETA 09:19:40 2020-12-16 21:49:10 [INFO] [TRAIN] epoch=98, iter=36280/80000, loss=0.1923, lr=0.005806, batch_cost=0.6318, reader_cost=0.0033 | ETA 07:40:22 2020-12-16 21:49:16 [INFO] [TRAIN] epoch=98, iter=36290/80000, loss=0.1968, lr=0.005804, batch_cost=0.5968, reader_cost=0.0001 | ETA 07:14:48 2020-12-16 21:49:24 [INFO] [TRAIN] epoch=98, iter=36300/80000, loss=0.1885, lr=0.005803, batch_cost=0.8422, reader_cost=0.0018 | ETA 10:13:23 2020-12-16 21:49:32 [INFO] [TRAIN] epoch=98, iter=36310/80000, loss=0.2837, lr=0.005802, batch_cost=0.8009, reader_cost=0.0001 | ETA 09:43:09 2020-12-16 21:49:40 [INFO] [TRAIN] epoch=98, iter=36320/80000, loss=0.2054, lr=0.005801, batch_cost=0.8103, reader_cost=0.0010 | ETA 09:49:54 2020-12-16 21:49:48 [INFO] [TRAIN] epoch=98, iter=36330/80000, loss=0.1653, lr=0.005800, batch_cost=0.7434, reader_cost=0.0012 | ETA 09:01:05 2020-12-16 21:49:55 [INFO] [TRAIN] epoch=98, iter=36340/80000, loss=0.2077, lr=0.005798, batch_cost=0.7323, reader_cost=0.0031 | ETA 08:52:52 2020-12-16 21:50:03 [INFO] [TRAIN] epoch=98, iter=36350/80000, loss=0.1839, lr=0.005797, batch_cost=0.7872, reader_cost=0.0001 | ETA 09:32:41 2020-12-16 21:50:10 [INFO] [TRAIN] epoch=98, iter=36360/80000, loss=0.2044, lr=0.005796, batch_cost=0.7506, reader_cost=0.0001 | ETA 09:05:54 2020-12-16 21:50:19 [INFO] [TRAIN] epoch=98, iter=36370/80000, loss=0.1503, lr=0.005795, batch_cost=0.8218, reader_cost=0.0024 | ETA 09:57:33 2020-12-16 21:50:27 [INFO] [TRAIN] epoch=98, iter=36380/80000, loss=0.1747, lr=0.005794, batch_cost=0.8610, reader_cost=0.0052 | ETA 10:25:55 2020-12-16 21:50:35 [INFO] [TRAIN] epoch=98, iter=36390/80000, loss=0.2294, lr=0.005792, batch_cost=0.7735, reader_cost=0.0018 | ETA 09:22:10 2020-12-16 21:50:43 [INFO] [TRAIN] epoch=98, iter=36400/80000, loss=0.1924, lr=0.005791, batch_cost=0.8020, reader_cost=0.0062 | ETA 09:42:46 2020-12-16 21:50:50 [INFO] [TRAIN] epoch=98, iter=36410/80000, loss=0.1611, lr=0.005790, batch_cost=0.7379, reader_cost=0.0038 | ETA 08:56:03 2020-12-16 21:50:58 [INFO] [TRAIN] epoch=98, iter=36420/80000, loss=0.2359, lr=0.005789, batch_cost=0.7851, reader_cost=0.0001 | ETA 09:30:12 2020-12-16 21:51:07 [INFO] [TRAIN] epoch=98, iter=36430/80000, loss=0.2164, lr=0.005788, batch_cost=0.8526, reader_cost=0.0008 | ETA 10:19:06 2020-12-16 21:51:16 [INFO] [TRAIN] epoch=98, iter=36440/80000, loss=0.2405, lr=0.005786, batch_cost=0.9247, reader_cost=0.0001 | ETA 11:11:19 2020-12-16 21:51:24 [INFO] [TRAIN] epoch=98, iter=36450/80000, loss=0.2378, lr=0.005785, batch_cost=0.7668, reader_cost=0.0018 | ETA 09:16:34 2020-12-16 21:51:32 [INFO] [TRAIN] epoch=99, iter=36460/80000, loss=0.2221, lr=0.005784, batch_cost=0.8180, reader_cost=0.0731 | ETA 09:53:33 2020-12-16 21:51:40 [INFO] [TRAIN] epoch=99, iter=36470/80000, loss=0.2218, lr=0.005783, batch_cost=0.8465, reader_cost=0.0001 | ETA 10:14:07 2020-12-16 21:51:49 [INFO] [TRAIN] epoch=99, iter=36480/80000, loss=0.1395, lr=0.005782, batch_cost=0.8394, reader_cost=0.0009 | ETA 10:08:48 2020-12-16 21:51:57 [INFO] [TRAIN] epoch=99, iter=36490/80000, loss=0.1848, lr=0.005780, batch_cost=0.8186, reader_cost=0.0002 | ETA 09:53:39 2020-12-16 21:52:05 [INFO] [TRAIN] epoch=99, iter=36500/80000, loss=0.1664, lr=0.005779, batch_cost=0.8204, reader_cost=0.0005 | ETA 09:54:47 2020-12-16 21:52:14 [INFO] [TRAIN] epoch=99, iter=36510/80000, loss=0.2509, lr=0.005778, batch_cost=0.8578, reader_cost=0.0003 | ETA 10:21:47 2020-12-16 21:52:21 [INFO] [TRAIN] epoch=99, iter=36520/80000, loss=0.2398, lr=0.005777, batch_cost=0.7757, reader_cost=0.0015 | ETA 09:22:08 2020-12-16 21:52:30 [INFO] [TRAIN] epoch=99, iter=36530/80000, loss=0.1964, lr=0.005776, batch_cost=0.8446, reader_cost=0.0001 | ETA 10:11:54 2020-12-16 21:52:38 [INFO] [TRAIN] epoch=99, iter=36540/80000, loss=0.1922, lr=0.005774, batch_cost=0.7988, reader_cost=0.0022 | ETA 09:38:35 2020-12-16 21:52:45 [INFO] [TRAIN] epoch=99, iter=36550/80000, loss=0.2219, lr=0.005773, batch_cost=0.7657, reader_cost=0.0004 | ETA 09:14:31 2020-12-16 21:52:52 [INFO] [TRAIN] epoch=99, iter=36560/80000, loss=0.1619, lr=0.005772, batch_cost=0.6265, reader_cost=0.0008 | ETA 07:33:35 2020-12-16 21:52:57 [INFO] [TRAIN] epoch=99, iter=36570/80000, loss=0.1906, lr=0.005771, batch_cost=0.5389, reader_cost=0.0001 | ETA 06:30:02 2020-12-16 21:53:03 [INFO] [TRAIN] epoch=99, iter=36580/80000, loss=0.1717, lr=0.005770, batch_cost=0.5400, reader_cost=0.0002 | ETA 06:30:48 2020-12-16 21:53:08 [INFO] [TRAIN] epoch=99, iter=36590/80000, loss=0.1815, lr=0.005768, batch_cost=0.5445, reader_cost=0.0001 | ETA 06:33:57 2020-12-16 21:53:13 [INFO] [TRAIN] epoch=99, iter=36600/80000, loss=0.2304, lr=0.005767, batch_cost=0.5461, reader_cost=0.0003 | ETA 06:34:58 2020-12-16 21:53:19 [INFO] [TRAIN] epoch=99, iter=36610/80000, loss=0.2005, lr=0.005766, batch_cost=0.5493, reader_cost=0.0001 | ETA 06:37:12 2020-12-16 21:53:24 [INFO] [TRAIN] epoch=99, iter=36620/80000, loss=0.1625, lr=0.005765, batch_cost=0.5575, reader_cost=0.0001 | ETA 06:43:02 2020-12-16 21:53:32 [INFO] [TRAIN] epoch=99, iter=36630/80000, loss=0.2250, lr=0.005764, batch_cost=0.7591, reader_cost=0.0001 | ETA 09:08:41 2020-12-16 21:53:40 [INFO] [TRAIN] epoch=99, iter=36640/80000, loss=0.1682, lr=0.005762, batch_cost=0.8042, reader_cost=0.0012 | ETA 09:41:08 2020-12-16 21:53:48 [INFO] [TRAIN] epoch=99, iter=36650/80000, loss=0.1655, lr=0.005761, batch_cost=0.7459, reader_cost=0.0001 | ETA 08:58:56 2020-12-16 21:53:55 [INFO] [TRAIN] epoch=99, iter=36660/80000, loss=0.1890, lr=0.005760, batch_cost=0.7452, reader_cost=0.0004 | ETA 08:58:18 2020-12-16 21:54:04 [INFO] [TRAIN] epoch=99, iter=36670/80000, loss=0.1932, lr=0.005759, batch_cost=0.9063, reader_cost=0.0023 | ETA 10:54:30 2020-12-16 21:54:13 [INFO] [TRAIN] epoch=99, iter=36680/80000, loss=0.2240, lr=0.005758, batch_cost=0.8820, reader_cost=0.0002 | ETA 10:36:47 2020-12-16 21:54:20 [INFO] [TRAIN] epoch=99, iter=36690/80000, loss=0.1498, lr=0.005756, batch_cost=0.6700, reader_cost=0.0001 | ETA 08:03:39 2020-12-16 21:54:25 [INFO] [TRAIN] epoch=99, iter=36700/80000, loss=0.2924, lr=0.005755, batch_cost=0.5532, reader_cost=0.0002 | ETA 06:39:14 2020-12-16 21:54:33 [INFO] [TRAIN] epoch=99, iter=36710/80000, loss=0.2015, lr=0.005754, batch_cost=0.7471, reader_cost=0.0006 | ETA 08:59:02 2020-12-16 21:54:41 [INFO] [TRAIN] epoch=99, iter=36720/80000, loss=0.1885, lr=0.005753, batch_cost=0.8122, reader_cost=0.0020 | ETA 09:45:50 2020-12-16 21:54:49 [INFO] [TRAIN] epoch=99, iter=36730/80000, loss=0.1367, lr=0.005752, batch_cost=0.7802, reader_cost=0.0009 | ETA 09:22:38 2020-12-16 21:54:57 [INFO] [TRAIN] epoch=99, iter=36740/80000, loss=0.1473, lr=0.005751, batch_cost=0.8136, reader_cost=0.0012 | ETA 09:46:37 2020-12-16 21:55:05 [INFO] [TRAIN] epoch=99, iter=36750/80000, loss=0.2078, lr=0.005749, batch_cost=0.8395, reader_cost=0.0001 | ETA 10:05:06 2020-12-16 21:55:13 [INFO] [TRAIN] epoch=99, iter=36760/80000, loss=0.1765, lr=0.005748, batch_cost=0.8051, reader_cost=0.0006 | ETA 09:40:13 2020-12-16 21:55:22 [INFO] [TRAIN] epoch=99, iter=36770/80000, loss=0.1862, lr=0.005747, batch_cost=0.9023, reader_cost=0.0023 | ETA 10:50:06 2020-12-16 21:55:31 [INFO] [TRAIN] epoch=99, iter=36780/80000, loss=0.2588, lr=0.005746, batch_cost=0.8745, reader_cost=0.0057 | ETA 10:29:54 2020-12-16 21:55:39 [INFO] [TRAIN] epoch=99, iter=36790/80000, loss=0.1672, lr=0.005745, batch_cost=0.8349, reader_cost=0.0001 | ETA 10:01:15 2020-12-16 21:55:47 [INFO] [TRAIN] epoch=99, iter=36800/80000, loss=0.1976, lr=0.005743, batch_cost=0.7987, reader_cost=0.0033 | ETA 09:35:05 2020-12-16 21:55:56 [INFO] [TRAIN] epoch=99, iter=36810/80000, loss=0.2235, lr=0.005742, batch_cost=0.8602, reader_cost=0.0017 | ETA 10:19:12 2020-12-16 21:56:04 [INFO] [TRAIN] epoch=99, iter=36820/80000, loss=0.1716, lr=0.005741, batch_cost=0.8301, reader_cost=0.0062 | ETA 09:57:23 2020-12-16 21:56:12 [INFO] [TRAIN] epoch=100, iter=36830/80000, loss=0.1924, lr=0.005740, batch_cost=0.7633, reader_cost=0.0733 | ETA 09:09:13 2020-12-16 21:56:21 [INFO] [TRAIN] epoch=100, iter=36840/80000, loss=0.1908, lr=0.005739, batch_cost=0.8664, reader_cost=0.0123 | ETA 10:23:14 2020-12-16 21:56:29 [INFO] [TRAIN] epoch=100, iter=36850/80000, loss=0.1955, lr=0.005737, batch_cost=0.8843, reader_cost=0.0021 | ETA 10:35:55 2020-12-16 21:56:38 [INFO] [TRAIN] epoch=100, iter=36860/80000, loss=0.1639, lr=0.005736, batch_cost=0.8624, reader_cost=0.0025 | ETA 10:20:04 2020-12-16 21:56:46 [INFO] [TRAIN] epoch=100, iter=36870/80000, loss=0.2301, lr=0.005735, batch_cost=0.8159, reader_cost=0.0009 | ETA 09:46:31 2020-12-16 21:56:55 [INFO] [TRAIN] epoch=100, iter=36880/80000, loss=0.1896, lr=0.005734, batch_cost=0.8618, reader_cost=0.0032 | ETA 10:19:21 2020-12-16 21:57:04 [INFO] [TRAIN] epoch=100, iter=36890/80000, loss=0.1941, lr=0.005733, batch_cost=0.8826, reader_cost=0.0012 | ETA 10:34:09 2020-12-16 21:57:11 [INFO] [TRAIN] epoch=100, iter=36900/80000, loss=0.2178, lr=0.005731, batch_cost=0.7321, reader_cost=0.0017 | ETA 08:45:53 2020-12-16 21:57:19 [INFO] [TRAIN] epoch=100, iter=36910/80000, loss=0.2270, lr=0.005730, batch_cost=0.7697, reader_cost=0.0008 | ETA 09:12:44 2020-12-16 21:57:27 [INFO] [TRAIN] epoch=100, iter=36920/80000, loss=0.2340, lr=0.005729, batch_cost=0.8862, reader_cost=0.0018 | ETA 10:36:16 2020-12-16 21:57:37 [INFO] [TRAIN] epoch=100, iter=36930/80000, loss=0.1754, lr=0.005728, batch_cost=0.9570, reader_cost=0.0043 | ETA 11:26:58 2020-12-16 21:57:45 [INFO] [TRAIN] epoch=100, iter=36940/80000, loss=0.2002, lr=0.005727, batch_cost=0.7821, reader_cost=0.0003 | ETA 09:21:18 2020-12-16 21:57:53 [INFO] [TRAIN] epoch=100, iter=36950/80000, loss=0.1940, lr=0.005725, batch_cost=0.8210, reader_cost=0.0001 | ETA 09:49:02 2020-12-16 21:58:01 [INFO] [TRAIN] epoch=100, iter=36960/80000, loss=0.2045, lr=0.005724, batch_cost=0.7825, reader_cost=0.0021 | ETA 09:21:19 2020-12-16 21:58:10 [INFO] [TRAIN] epoch=100, iter=36970/80000, loss=0.1932, lr=0.005723, batch_cost=0.8658, reader_cost=0.0026 | ETA 10:20:56 2020-12-16 21:58:18 [INFO] [TRAIN] epoch=100, iter=36980/80000, loss=0.1819, lr=0.005722, batch_cost=0.8091, reader_cost=0.0001 | ETA 09:40:07 2020-12-16 21:58:26 [INFO] [TRAIN] epoch=100, iter=36990/80000, loss=0.1986, lr=0.005721, batch_cost=0.8333, reader_cost=0.0001 | ETA 09:57:21 2020-12-16 21:58:35 [INFO] [TRAIN] epoch=100, iter=37000/80000, loss=0.1967, lr=0.005719, batch_cost=0.8562, reader_cost=0.0041 | ETA 10:13:34 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 21:58:35 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 21:59:14 [INFO] [EVAL] #Images=500 mIoU=0.7604 Acc=0.9562 Kappa=0.9431 2020-12-16 21:59:14 [INFO] [EVAL] Class IoU: [0.9805 0.8443 0.9122 0.4201 0.5358 0.5774 0.6831 0.7658 0.9194 0.6478 0.9432 0.8041 0.5977 0.9436 0.8254 0.8447 0.8141 0.6225 0.7663] 2020-12-16 21:59:14 [INFO] [EVAL] Class Acc: [0.9911 0.918 0.9412 0.8799 0.7531 0.7449 0.8221 0.905 0.9555 0.813 0.9699 0.8716 0.7873 0.9717 0.9279 0.9087 0.9296 0.7672 0.8551] 2020-12-16 21:59:19 [INFO] [EVAL] The model with the best validation mIoU (0.7606) was saved at iter 34000. 2020-12-16 21:59:27 [INFO] [TRAIN] epoch=100, iter=37010/80000, loss=0.1688, lr=0.005718, batch_cost=0.7771, reader_cost=0.0060 | ETA 09:16:48 2020-12-16 21:59:35 [INFO] [TRAIN] epoch=100, iter=37020/80000, loss=0.2030, lr=0.005717, batch_cost=0.7923, reader_cost=0.0001 | ETA 09:27:32 2020-12-16 21:59:42 [INFO] [TRAIN] epoch=100, iter=37030/80000, loss=0.1316, lr=0.005716, batch_cost=0.7461, reader_cost=0.0005 | ETA 08:54:18 2020-12-16 21:59:51 [INFO] [TRAIN] epoch=100, iter=37040/80000, loss=0.2148, lr=0.005715, batch_cost=0.8444, reader_cost=0.0037 | ETA 10:04:35 2020-12-16 21:59:59 [INFO] [TRAIN] epoch=100, iter=37050/80000, loss=0.1488, lr=0.005713, batch_cost=0.8381, reader_cost=0.0001 | ETA 09:59:54 2020-12-16 22:00:08 [INFO] [TRAIN] epoch=100, iter=37060/80000, loss=0.1546, lr=0.005712, batch_cost=0.9329, reader_cost=0.0001 | ETA 11:07:40 2020-12-16 22:00:16 [INFO] [TRAIN] epoch=100, iter=37070/80000, loss=0.1654, lr=0.005711, batch_cost=0.7784, reader_cost=0.0008 | ETA 09:16:58 2020-12-16 22:00:25 [INFO] [TRAIN] epoch=100, iter=37080/80000, loss=0.1388, lr=0.005710, batch_cost=0.8616, reader_cost=0.0026 | ETA 10:16:19 2020-12-16 22:00:33 [INFO] [TRAIN] epoch=100, iter=37090/80000, loss=0.2513, lr=0.005709, batch_cost=0.8106, reader_cost=0.0002 | ETA 09:39:42 2020-12-16 22:00:41 [INFO] [TRAIN] epoch=100, iter=37100/80000, loss=0.1887, lr=0.005707, batch_cost=0.8512, reader_cost=0.0025 | ETA 10:08:35 2020-12-16 22:00:49 [INFO] [TRAIN] epoch=100, iter=37110/80000, loss=0.2084, lr=0.005706, batch_cost=0.8051, reader_cost=0.0041 | ETA 09:35:32 2020-12-16 22:00:58 [INFO] [TRAIN] epoch=100, iter=37120/80000, loss=0.1788, lr=0.005705, batch_cost=0.8346, reader_cost=0.0067 | ETA 09:56:27 2020-12-16 22:01:06 [INFO] [TRAIN] epoch=100, iter=37130/80000, loss=0.1631, lr=0.005704, batch_cost=0.8082, reader_cost=0.0001 | ETA 09:37:28 2020-12-16 22:01:13 [INFO] [TRAIN] epoch=100, iter=37140/80000, loss=0.1950, lr=0.005703, batch_cost=0.7036, reader_cost=0.0001 | ETA 08:22:36 2020-12-16 22:01:21 [INFO] [TRAIN] epoch=100, iter=37150/80000, loss=0.1987, lr=0.005701, batch_cost=0.8312, reader_cost=0.0001 | ETA 09:53:38 2020-12-16 22:01:30 [INFO] [TRAIN] epoch=100, iter=37160/80000, loss=0.2012, lr=0.005700, batch_cost=0.8465, reader_cost=0.0002 | ETA 10:04:23 2020-12-16 22:01:38 [INFO] [TRAIN] epoch=100, iter=37170/80000, loss=0.2458, lr=0.005699, batch_cost=0.8041, reader_cost=0.0065 | ETA 09:34:01 2020-12-16 22:01:46 [INFO] [TRAIN] epoch=100, iter=37180/80000, loss=0.2001, lr=0.005698, batch_cost=0.8245, reader_cost=0.0027 | ETA 09:48:22 2020-12-16 22:01:54 [INFO] [TRAIN] epoch=100, iter=37190/80000, loss=0.2243, lr=0.005697, batch_cost=0.8079, reader_cost=0.0042 | ETA 09:36:28 2020-12-16 22:02:01 [INFO] [TRAIN] epoch=100, iter=37200/80000, loss=0.2095, lr=0.005695, batch_cost=0.6531, reader_cost=0.0022 | ETA 07:45:54 2020-12-16 22:02:10 [INFO] [TRAIN] epoch=101, iter=37210/80000, loss=0.1978, lr=0.005694, batch_cost=0.9311, reader_cost=0.0859 | ETA 11:04:00 2020-12-16 22:02:18 [INFO] [TRAIN] epoch=101, iter=37220/80000, loss=0.1899, lr=0.005693, batch_cost=0.8434, reader_cost=0.0001 | ETA 10:01:20 2020-12-16 22:02:26 [INFO] [TRAIN] epoch=101, iter=37230/80000, loss=0.2621, lr=0.005692, batch_cost=0.7841, reader_cost=0.0039 | ETA 09:18:55 2020-12-16 22:02:34 [INFO] [TRAIN] epoch=101, iter=37240/80000, loss=0.2393, lr=0.005691, batch_cost=0.8116, reader_cost=0.0002 | ETA 09:38:25 2020-12-16 22:02:42 [INFO] [TRAIN] epoch=101, iter=37250/80000, loss=0.1820, lr=0.005689, batch_cost=0.7670, reader_cost=0.0007 | ETA 09:06:31 2020-12-16 22:02:50 [INFO] [TRAIN] epoch=101, iter=37260/80000, loss=0.1770, lr=0.005688, batch_cost=0.7561, reader_cost=0.0013 | ETA 08:58:36 2020-12-16 22:02:58 [INFO] [TRAIN] epoch=101, iter=37270/80000, loss=0.2386, lr=0.005687, batch_cost=0.8376, reader_cost=0.0014 | ETA 09:56:30 2020-12-16 22:03:06 [INFO] [TRAIN] epoch=101, iter=37280/80000, loss=0.2051, lr=0.005686, batch_cost=0.7898, reader_cost=0.0055 | ETA 09:22:19 2020-12-16 22:03:14 [INFO] [TRAIN] epoch=101, iter=37290/80000, loss=0.2060, lr=0.005685, batch_cost=0.7704, reader_cost=0.0010 | ETA 09:08:23 2020-12-16 22:03:21 [INFO] [TRAIN] epoch=101, iter=37300/80000, loss=0.1411, lr=0.005683, batch_cost=0.7266, reader_cost=0.0007 | ETA 08:37:04 2020-12-16 22:03:28 [INFO] [TRAIN] epoch=101, iter=37310/80000, loss=0.1673, lr=0.005682, batch_cost=0.7337, reader_cost=0.0007 | ETA 08:42:01 2020-12-16 22:03:35 [INFO] [TRAIN] epoch=101, iter=37320/80000, loss=0.1867, lr=0.005681, batch_cost=0.6554, reader_cost=0.0024 | ETA 07:46:13 2020-12-16 22:03:40 [INFO] [TRAIN] epoch=101, iter=37330/80000, loss=0.1501, lr=0.005680, batch_cost=0.5497, reader_cost=0.0002 | ETA 06:30:56 2020-12-16 22:03:48 [INFO] [TRAIN] epoch=101, iter=37340/80000, loss=0.2017, lr=0.005679, batch_cost=0.7441, reader_cost=0.0001 | ETA 08:49:01 2020-12-16 22:03:56 [INFO] [TRAIN] epoch=101, iter=37350/80000, loss=0.1841, lr=0.005677, batch_cost=0.8079, reader_cost=0.0008 | ETA 09:34:17 2020-12-16 22:04:04 [INFO] [TRAIN] epoch=101, iter=37360/80000, loss=0.1856, lr=0.005676, batch_cost=0.8104, reader_cost=0.0092 | ETA 09:35:55 2020-12-16 22:04:12 [INFO] [TRAIN] epoch=101, iter=37370/80000, loss=0.2305, lr=0.005675, batch_cost=0.8177, reader_cost=0.0011 | ETA 09:40:59 2020-12-16 22:04:20 [INFO] [TRAIN] epoch=101, iter=37380/80000, loss=0.1685, lr=0.005674, batch_cost=0.8388, reader_cost=0.0004 | ETA 09:55:47 2020-12-16 22:04:28 [INFO] [TRAIN] epoch=101, iter=37390/80000, loss=0.1709, lr=0.005673, batch_cost=0.7742, reader_cost=0.0001 | ETA 09:09:48 2020-12-16 22:04:37 [INFO] [TRAIN] epoch=101, iter=37400/80000, loss=0.2713, lr=0.005671, batch_cost=0.8399, reader_cost=0.0001 | ETA 09:56:19 2020-12-16 22:04:44 [INFO] [TRAIN] epoch=101, iter=37410/80000, loss=0.1879, lr=0.005670, batch_cost=0.7854, reader_cost=0.0005 | ETA 09:17:30 2020-12-16 22:04:52 [INFO] [TRAIN] epoch=101, iter=37420/80000, loss=0.1860, lr=0.005669, batch_cost=0.7639, reader_cost=0.0001 | ETA 09:02:07 2020-12-16 22:05:01 [INFO] [TRAIN] epoch=101, iter=37430/80000, loss=0.1415, lr=0.005668, batch_cost=0.8735, reader_cost=0.0021 | ETA 10:19:43 2020-12-16 22:05:09 [INFO] [TRAIN] epoch=101, iter=37440/80000, loss=0.2054, lr=0.005667, batch_cost=0.8070, reader_cost=0.0054 | ETA 09:32:25 2020-12-16 22:05:16 [INFO] [TRAIN] epoch=101, iter=37450/80000, loss=0.1642, lr=0.005665, batch_cost=0.7318, reader_cost=0.0022 | ETA 08:38:56 2020-12-16 22:05:24 [INFO] [TRAIN] epoch=101, iter=37460/80000, loss=0.1747, lr=0.005664, batch_cost=0.7411, reader_cost=0.0007 | ETA 08:45:26 2020-12-16 22:05:31 [INFO] [TRAIN] epoch=101, iter=37470/80000, loss=0.1921, lr=0.005663, batch_cost=0.7360, reader_cost=0.0001 | ETA 08:41:40 2020-12-16 22:05:39 [INFO] [TRAIN] epoch=101, iter=37480/80000, loss=0.2300, lr=0.005662, batch_cost=0.8098, reader_cost=0.0032 | ETA 09:33:54 2020-12-16 22:05:47 [INFO] [TRAIN] epoch=101, iter=37490/80000, loss=0.2268, lr=0.005661, batch_cost=0.8336, reader_cost=0.0018 | ETA 09:50:37 2020-12-16 22:05:56 [INFO] [TRAIN] epoch=101, iter=37500/80000, loss=0.1994, lr=0.005660, batch_cost=0.8222, reader_cost=0.0050 | ETA 09:42:21 2020-12-16 22:06:03 [INFO] [TRAIN] epoch=101, iter=37510/80000, loss=0.2153, lr=0.005658, batch_cost=0.7749, reader_cost=0.0018 | ETA 09:08:44 2020-12-16 22:06:11 [INFO] [TRAIN] epoch=101, iter=37520/80000, loss=0.1994, lr=0.005657, batch_cost=0.7736, reader_cost=0.0024 | ETA 09:07:43 2020-12-16 22:06:18 [INFO] [TRAIN] epoch=101, iter=37530/80000, loss=0.3070, lr=0.005656, batch_cost=0.7138, reader_cost=0.0022 | ETA 08:25:13 2020-12-16 22:06:26 [INFO] [TRAIN] epoch=101, iter=37540/80000, loss=0.2363, lr=0.005655, batch_cost=0.8174, reader_cost=0.0024 | ETA 09:38:26 2020-12-16 22:06:34 [INFO] [TRAIN] epoch=101, iter=37550/80000, loss=0.2063, lr=0.005654, batch_cost=0.7799, reader_cost=0.0003 | ETA 09:11:47 2020-12-16 22:06:43 [INFO] [TRAIN] epoch=101, iter=37560/80000, loss=0.2340, lr=0.005652, batch_cost=0.8492, reader_cost=0.0005 | ETA 10:00:40 2020-12-16 22:06:51 [INFO] [TRAIN] epoch=101, iter=37570/80000, loss=0.1454, lr=0.005651, batch_cost=0.7878, reader_cost=0.0001 | ETA 09:17:05 2020-12-16 22:06:59 [INFO] [TRAIN] epoch=102, iter=37580/80000, loss=0.1800, lr=0.005650, batch_cost=0.8163, reader_cost=0.0592 | ETA 09:37:08 2020-12-16 22:07:07 [INFO] [TRAIN] epoch=102, iter=37590/80000, loss=0.2109, lr=0.005649, batch_cost=0.7858, reader_cost=0.0011 | ETA 09:15:27 2020-12-16 22:07:15 [INFO] [TRAIN] epoch=102, iter=37600/80000, loss=0.1759, lr=0.005648, batch_cost=0.8662, reader_cost=0.0031 | ETA 10:12:07 2020-12-16 22:07:24 [INFO] [TRAIN] epoch=102, iter=37610/80000, loss=0.1846, lr=0.005646, batch_cost=0.8704, reader_cost=0.0028 | ETA 10:14:54 2020-12-16 22:07:32 [INFO] [TRAIN] epoch=102, iter=37620/80000, loss=0.2093, lr=0.005645, batch_cost=0.8121, reader_cost=0.0001 | ETA 09:33:38 2020-12-16 22:07:39 [INFO] [TRAIN] epoch=102, iter=37630/80000, loss=0.2393, lr=0.005644, batch_cost=0.7301, reader_cost=0.0010 | ETA 08:35:33 2020-12-16 22:07:48 [INFO] [TRAIN] epoch=102, iter=37640/80000, loss=0.2853, lr=0.005643, batch_cost=0.8611, reader_cost=0.0002 | ETA 10:07:57 2020-12-16 22:07:56 [INFO] [TRAIN] epoch=102, iter=37650/80000, loss=0.2437, lr=0.005642, batch_cost=0.8317, reader_cost=0.0026 | ETA 09:47:04 2020-12-16 22:08:06 [INFO] [TRAIN] epoch=102, iter=37660/80000, loss=0.1606, lr=0.005640, batch_cost=0.9539, reader_cost=0.0008 | ETA 11:13:07 2020-12-16 22:08:12 [INFO] [TRAIN] epoch=102, iter=37670/80000, loss=0.1580, lr=0.005639, batch_cost=0.5920, reader_cost=0.0025 | ETA 06:57:38 2020-12-16 22:08:18 [INFO] [TRAIN] epoch=102, iter=37680/80000, loss=0.1849, lr=0.005638, batch_cost=0.6040, reader_cost=0.0002 | ETA 07:05:59 2020-12-16 22:08:26 [INFO] [TRAIN] epoch=102, iter=37690/80000, loss=0.2359, lr=0.005637, batch_cost=0.7732, reader_cost=0.0022 | ETA 09:05:14 2020-12-16 22:08:34 [INFO] [TRAIN] epoch=102, iter=37700/80000, loss=0.1520, lr=0.005636, batch_cost=0.8013, reader_cost=0.0024 | ETA 09:24:53 2020-12-16 22:08:43 [INFO] [TRAIN] epoch=102, iter=37710/80000, loss=0.1629, lr=0.005634, batch_cost=0.9203, reader_cost=0.0002 | ETA 10:48:38 2020-12-16 22:08:52 [INFO] [TRAIN] epoch=102, iter=37720/80000, loss=0.1786, lr=0.005633, batch_cost=0.9253, reader_cost=0.0026 | ETA 10:52:01 2020-12-16 22:09:00 [INFO] [TRAIN] epoch=102, iter=37730/80000, loss=0.2027, lr=0.005632, batch_cost=0.8207, reader_cost=0.0007 | ETA 09:38:09 2020-12-16 22:09:10 [INFO] [TRAIN] epoch=102, iter=37740/80000, loss=0.1841, lr=0.005631, batch_cost=0.9676, reader_cost=0.0009 | ETA 11:21:29 2020-12-16 22:09:18 [INFO] [TRAIN] epoch=102, iter=37750/80000, loss=0.1990, lr=0.005630, batch_cost=0.8242, reader_cost=0.0001 | ETA 09:40:24 2020-12-16 22:09:26 [INFO] [TRAIN] epoch=102, iter=37760/80000, loss=0.1625, lr=0.005628, batch_cost=0.7409, reader_cost=0.0013 | ETA 08:41:36 2020-12-16 22:09:33 [INFO] [TRAIN] epoch=102, iter=37770/80000, loss=0.1856, lr=0.005627, batch_cost=0.7332, reader_cost=0.0044 | ETA 08:36:03 2020-12-16 22:09:41 [INFO] [TRAIN] epoch=102, iter=37780/80000, loss=0.1776, lr=0.005626, batch_cost=0.8081, reader_cost=0.0009 | ETA 09:28:39 2020-12-16 22:09:49 [INFO] [TRAIN] epoch=102, iter=37790/80000, loss=0.2724, lr=0.005625, batch_cost=0.8280, reader_cost=0.0029 | ETA 09:42:28 2020-12-16 22:09:58 [INFO] [TRAIN] epoch=102, iter=37800/80000, loss=0.2814, lr=0.005624, batch_cost=0.8352, reader_cost=0.0008 | ETA 09:47:26 2020-12-16 22:10:06 [INFO] [TRAIN] epoch=102, iter=37810/80000, loss=0.1393, lr=0.005622, batch_cost=0.8272, reader_cost=0.0003 | ETA 09:41:38 2020-12-16 22:10:13 [INFO] [TRAIN] epoch=102, iter=37820/80000, loss=0.1642, lr=0.005621, batch_cost=0.6815, reader_cost=0.0002 | ETA 07:59:05 2020-12-16 22:10:21 [INFO] [TRAIN] epoch=102, iter=37830/80000, loss=0.1393, lr=0.005620, batch_cost=0.8193, reader_cost=0.0014 | ETA 09:35:51 2020-12-16 22:10:29 [INFO] [TRAIN] epoch=102, iter=37840/80000, loss=0.1884, lr=0.005619, batch_cost=0.7866, reader_cost=0.0007 | ETA 09:12:41 2020-12-16 22:10:37 [INFO] [TRAIN] epoch=102, iter=37850/80000, loss=0.1754, lr=0.005618, batch_cost=0.7777, reader_cost=0.0031 | ETA 09:06:17 2020-12-16 22:10:45 [INFO] [TRAIN] epoch=102, iter=37860/80000, loss=0.1407, lr=0.005616, batch_cost=0.7968, reader_cost=0.0008 | ETA 09:19:39 2020-12-16 22:10:52 [INFO] [TRAIN] epoch=102, iter=37870/80000, loss=0.1964, lr=0.005615, batch_cost=0.7691, reader_cost=0.0001 | ETA 09:00:03 2020-12-16 22:11:00 [INFO] [TRAIN] epoch=102, iter=37880/80000, loss=0.1467, lr=0.005614, batch_cost=0.7401, reader_cost=0.0015 | ETA 08:39:32 2020-12-16 22:11:07 [INFO] [TRAIN] epoch=102, iter=37890/80000, loss=0.1804, lr=0.005613, batch_cost=0.7046, reader_cost=0.0002 | ETA 08:14:31 2020-12-16 22:11:14 [INFO] [TRAIN] epoch=102, iter=37900/80000, loss=0.2102, lr=0.005612, batch_cost=0.7122, reader_cost=0.0031 | ETA 08:19:43 2020-12-16 22:11:21 [INFO] [TRAIN] epoch=102, iter=37910/80000, loss=0.1808, lr=0.005610, batch_cost=0.7365, reader_cost=0.0002 | ETA 08:36:41 2020-12-16 22:11:29 [INFO] [TRAIN] epoch=102, iter=37920/80000, loss=0.1776, lr=0.005609, batch_cost=0.7836, reader_cost=0.0008 | ETA 09:09:33 2020-12-16 22:11:37 [INFO] [TRAIN] epoch=102, iter=37930/80000, loss=0.1562, lr=0.005608, batch_cost=0.7483, reader_cost=0.0063 | ETA 08:44:39 2020-12-16 22:11:44 [INFO] [TRAIN] epoch=102, iter=37940/80000, loss=0.1801, lr=0.005607, batch_cost=0.7963, reader_cost=0.0001 | ETA 09:18:10 2020-12-16 22:11:53 [INFO] [TRAIN] epoch=103, iter=37950/80000, loss=0.1680, lr=0.005606, batch_cost=0.8872, reader_cost=0.0591 | ETA 10:21:47 2020-12-16 22:12:01 [INFO] [TRAIN] epoch=103, iter=37960/80000, loss=0.1376, lr=0.005604, batch_cost=0.7638, reader_cost=0.0022 | ETA 08:55:10 2020-12-16 22:12:09 [INFO] [TRAIN] epoch=103, iter=37970/80000, loss=0.1846, lr=0.005603, batch_cost=0.7901, reader_cost=0.0015 | ETA 09:13:29 2020-12-16 22:12:17 [INFO] [TRAIN] epoch=103, iter=37980/80000, loss=0.2017, lr=0.005602, batch_cost=0.7881, reader_cost=0.0005 | ETA 09:11:55 2020-12-16 22:12:25 [INFO] [TRAIN] epoch=103, iter=37990/80000, loss=0.2746, lr=0.005601, batch_cost=0.8421, reader_cost=0.0017 | ETA 09:49:35 2020-12-16 22:12:34 [INFO] [TRAIN] epoch=103, iter=38000/80000, loss=0.2497, lr=0.005600, batch_cost=0.8378, reader_cost=0.0011 | ETA 09:46:26 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 22:12:34 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 22:13:14 [INFO] [EVAL] #Images=500 mIoU=0.7707 Acc=0.9582 Kappa=0.9457 2020-12-16 22:13:14 [INFO] [EVAL] Class IoU: [0.9822 0.8551 0.9166 0.5632 0.5809 0.5682 0.6888 0.7745 0.9196 0.6543 0.9438 0.8 0.5992 0.9438 0.8335 0.8446 0.8075 0.6079 0.7593] 2020-12-16 22:13:14 [INFO] [EVAL] Class Acc: [0.9913 0.9323 0.9499 0.7328 0.8036 0.7838 0.8176 0.888 0.9515 0.8107 0.9679 0.903 0.7808 0.965 0.9491 0.9414 0.9518 0.8075 0.844 ] 2020-12-16 22:13:21 [INFO] [EVAL] The model with the best validation mIoU (0.7707) was saved at iter 38000. 2020-12-16 22:13:29 [INFO] [TRAIN] epoch=103, iter=38010/80000, loss=0.2023, lr=0.005598, batch_cost=0.8093, reader_cost=0.0074 | ETA 09:26:22 2020-12-16 22:13:38 [INFO] [TRAIN] epoch=103, iter=38020/80000, loss=0.2084, lr=0.005597, batch_cost=0.8442, reader_cost=0.0024 | ETA 09:50:40 2020-12-16 22:13:47 [INFO] [TRAIN] epoch=103, iter=38030/80000, loss=0.2126, lr=0.005596, batch_cost=0.8779, reader_cost=0.0001 | ETA 10:14:06 2020-12-16 22:13:54 [INFO] [TRAIN] epoch=103, iter=38040/80000, loss=0.2243, lr=0.005595, batch_cost=0.7632, reader_cost=0.0006 | ETA 08:53:41 2020-12-16 22:14:02 [INFO] [TRAIN] epoch=103, iter=38050/80000, loss=0.1829, lr=0.005594, batch_cost=0.7885, reader_cost=0.0015 | ETA 09:11:19 2020-12-16 22:14:11 [INFO] [TRAIN] epoch=103, iter=38060/80000, loss=0.1856, lr=0.005592, batch_cost=0.8971, reader_cost=0.0004 | ETA 10:27:06 2020-12-16 22:14:18 [INFO] [TRAIN] epoch=103, iter=38070/80000, loss=0.1932, lr=0.005591, batch_cost=0.7444, reader_cost=0.0004 | ETA 08:40:11 2020-12-16 22:14:27 [INFO] [TRAIN] epoch=103, iter=38080/80000, loss=0.1705, lr=0.005590, batch_cost=0.8480, reader_cost=0.0007 | ETA 09:52:28 2020-12-16 22:14:35 [INFO] [TRAIN] epoch=103, iter=38090/80000, loss=0.1482, lr=0.005589, batch_cost=0.7718, reader_cost=0.0008 | ETA 08:59:07 2020-12-16 22:14:42 [INFO] [TRAIN] epoch=103, iter=38100/80000, loss=0.1559, lr=0.005588, batch_cost=0.7483, reader_cost=0.0007 | ETA 08:42:35 2020-12-16 22:14:50 [INFO] [TRAIN] epoch=103, iter=38110/80000, loss=0.1620, lr=0.005586, batch_cost=0.7985, reader_cost=0.0001 | ETA 09:17:28 2020-12-16 22:14:59 [INFO] [TRAIN] epoch=103, iter=38120/80000, loss=0.1636, lr=0.005585, batch_cost=0.8780, reader_cost=0.0023 | ETA 10:12:51 2020-12-16 22:15:08 [INFO] [TRAIN] epoch=103, iter=38130/80000, loss=0.2363, lr=0.005584, batch_cost=0.8923, reader_cost=0.0001 | ETA 10:22:39 2020-12-16 22:15:16 [INFO] [TRAIN] epoch=103, iter=38140/80000, loss=0.1782, lr=0.005583, batch_cost=0.7822, reader_cost=0.0013 | ETA 09:05:44 2020-12-16 22:15:24 [INFO] [TRAIN] epoch=103, iter=38150/80000, loss=0.1496, lr=0.005582, batch_cost=0.8790, reader_cost=0.0007 | ETA 10:13:07 2020-12-16 22:15:33 [INFO] [TRAIN] epoch=103, iter=38160/80000, loss=0.1663, lr=0.005580, batch_cost=0.8321, reader_cost=0.0019 | ETA 09:40:16 2020-12-16 22:15:41 [INFO] [TRAIN] epoch=103, iter=38170/80000, loss=0.1829, lr=0.005579, batch_cost=0.8083, reader_cost=0.0050 | ETA 09:23:29 2020-12-16 22:15:49 [INFO] [TRAIN] epoch=103, iter=38180/80000, loss=0.1978, lr=0.005578, batch_cost=0.7769, reader_cost=0.0014 | ETA 09:01:29 2020-12-16 22:15:56 [INFO] [TRAIN] epoch=103, iter=38190/80000, loss=0.1971, lr=0.005577, batch_cost=0.7253, reader_cost=0.0022 | ETA 08:25:24 2020-12-16 22:16:04 [INFO] [TRAIN] epoch=103, iter=38200/80000, loss=0.1445, lr=0.005576, batch_cost=0.8122, reader_cost=0.0004 | ETA 09:25:50 2020-12-16 22:16:12 [INFO] [TRAIN] epoch=103, iter=38210/80000, loss=0.1909, lr=0.005574, batch_cost=0.7596, reader_cost=0.0003 | ETA 08:49:02 2020-12-16 22:16:19 [INFO] [TRAIN] epoch=103, iter=38220/80000, loss=0.2068, lr=0.005573, batch_cost=0.7636, reader_cost=0.0009 | ETA 08:51:44 2020-12-16 22:16:27 [INFO] [TRAIN] epoch=103, iter=38230/80000, loss=0.2169, lr=0.005572, batch_cost=0.7856, reader_cost=0.0033 | ETA 09:06:53 2020-12-16 22:16:36 [INFO] [TRAIN] epoch=103, iter=38240/80000, loss=0.1848, lr=0.005571, batch_cost=0.8597, reader_cost=0.0002 | ETA 09:58:20 2020-12-16 22:16:43 [INFO] [TRAIN] epoch=103, iter=38250/80000, loss=0.2207, lr=0.005570, batch_cost=0.7699, reader_cost=0.0001 | ETA 08:55:44 2020-12-16 22:16:52 [INFO] [TRAIN] epoch=103, iter=38260/80000, loss=0.2258, lr=0.005568, batch_cost=0.8667, reader_cost=0.0020 | ETA 10:02:54 2020-12-16 22:17:00 [INFO] [TRAIN] epoch=103, iter=38270/80000, loss=0.1786, lr=0.005567, batch_cost=0.7890, reader_cost=0.0019 | ETA 09:08:45 2020-12-16 22:17:08 [INFO] [TRAIN] epoch=103, iter=38280/80000, loss=0.2333, lr=0.005566, batch_cost=0.8184, reader_cost=0.0025 | ETA 09:29:03 2020-12-16 22:17:16 [INFO] [TRAIN] epoch=103, iter=38290/80000, loss=0.2279, lr=0.005565, batch_cost=0.7350, reader_cost=0.0001 | ETA 08:30:56 2020-12-16 22:17:23 [INFO] [TRAIN] epoch=103, iter=38300/80000, loss=0.1811, lr=0.005564, batch_cost=0.7540, reader_cost=0.0001 | ETA 08:44:02 2020-12-16 22:17:29 [INFO] [TRAIN] epoch=103, iter=38310/80000, loss=0.2823, lr=0.005562, batch_cost=0.5674, reader_cost=0.0012 | ETA 06:34:13 2020-12-16 22:17:35 [INFO] [TRAIN] epoch=104, iter=38320/80000, loss=0.2505, lr=0.005561, batch_cost=0.6121, reader_cost=0.0534 | ETA 07:05:12 2020-12-16 22:17:43 [INFO] [TRAIN] epoch=104, iter=38330/80000, loss=0.2407, lr=0.005560, batch_cost=0.8411, reader_cost=0.0001 | ETA 09:44:07 2020-12-16 22:17:52 [INFO] [TRAIN] epoch=104, iter=38340/80000, loss=0.3164, lr=0.005559, batch_cost=0.8930, reader_cost=0.0160 | ETA 10:20:00 2020-12-16 22:18:00 [INFO] [TRAIN] epoch=104, iter=38350/80000, loss=0.1884, lr=0.005558, batch_cost=0.8292, reader_cost=0.0004 | ETA 09:35:38 2020-12-16 22:18:09 [INFO] [TRAIN] epoch=104, iter=38360/80000, loss=0.2157, lr=0.005556, batch_cost=0.8546, reader_cost=0.0014 | ETA 09:53:06 2020-12-16 22:18:17 [INFO] [TRAIN] epoch=104, iter=38370/80000, loss=0.2035, lr=0.005555, batch_cost=0.7823, reader_cost=0.0001 | ETA 09:02:47 2020-12-16 22:18:22 [INFO] [TRAIN] epoch=104, iter=38380/80000, loss=0.2070, lr=0.005554, batch_cost=0.5507, reader_cost=0.0006 | ETA 06:21:58 2020-12-16 22:18:28 [INFO] [TRAIN] epoch=104, iter=38390/80000, loss=0.1827, lr=0.005553, batch_cost=0.5502, reader_cost=0.0001 | ETA 06:21:33 2020-12-16 22:18:33 [INFO] [TRAIN] epoch=104, iter=38400/80000, loss=0.2990, lr=0.005552, batch_cost=0.5408, reader_cost=0.0001 | ETA 06:14:56 2020-12-16 22:18:39 [INFO] [TRAIN] epoch=104, iter=38410/80000, loss=0.2080, lr=0.005550, batch_cost=0.5448, reader_cost=0.0002 | ETA 06:17:37 2020-12-16 22:18:44 [INFO] [TRAIN] epoch=104, iter=38420/80000, loss=0.1892, lr=0.005549, batch_cost=0.5418, reader_cost=0.0001 | ETA 06:15:29 2020-12-16 22:18:50 [INFO] [TRAIN] epoch=104, iter=38430/80000, loss=0.2095, lr=0.005548, batch_cost=0.5532, reader_cost=0.0001 | ETA 06:23:15 2020-12-16 22:18:55 [INFO] [TRAIN] epoch=104, iter=38440/80000, loss=0.2460, lr=0.005547, batch_cost=0.5565, reader_cost=0.0023 | ETA 06:25:27 2020-12-16 22:19:02 [INFO] [TRAIN] epoch=104, iter=38450/80000, loss=0.2050, lr=0.005546, batch_cost=0.7189, reader_cost=0.0003 | ETA 08:17:49 2020-12-16 22:19:10 [INFO] [TRAIN] epoch=104, iter=38460/80000, loss=0.2260, lr=0.005544, batch_cost=0.8039, reader_cost=0.0020 | ETA 09:16:34 2020-12-16 22:19:18 [INFO] [TRAIN] epoch=104, iter=38470/80000, loss=0.1710, lr=0.005543, batch_cost=0.7738, reader_cost=0.0002 | ETA 08:55:35 2020-12-16 22:19:25 [INFO] [TRAIN] epoch=104, iter=38480/80000, loss=0.2278, lr=0.005542, batch_cost=0.7136, reader_cost=0.0013 | ETA 08:13:50 2020-12-16 22:19:34 [INFO] [TRAIN] epoch=104, iter=38490/80000, loss=0.1657, lr=0.005541, batch_cost=0.8201, reader_cost=0.0039 | ETA 09:27:21 2020-12-16 22:19:43 [INFO] [TRAIN] epoch=104, iter=38500/80000, loss=0.1949, lr=0.005540, batch_cost=0.9012, reader_cost=0.0035 | ETA 10:23:20 2020-12-16 22:19:50 [INFO] [TRAIN] epoch=104, iter=38510/80000, loss=0.1738, lr=0.005538, batch_cost=0.7859, reader_cost=0.0016 | ETA 09:03:26 2020-12-16 22:19:59 [INFO] [TRAIN] epoch=104, iter=38520/80000, loss=0.1445, lr=0.005537, batch_cost=0.8178, reader_cost=0.0050 | ETA 09:25:23 2020-12-16 22:20:07 [INFO] [TRAIN] epoch=104, iter=38530/80000, loss=0.2050, lr=0.005536, batch_cost=0.8347, reader_cost=0.0005 | ETA 09:36:53 2020-12-16 22:20:15 [INFO] [TRAIN] epoch=104, iter=38540/80000, loss=0.2030, lr=0.005535, batch_cost=0.7824, reader_cost=0.0002 | ETA 09:00:36 2020-12-16 22:20:23 [INFO] [TRAIN] epoch=104, iter=38550/80000, loss=0.1640, lr=0.005534, batch_cost=0.7799, reader_cost=0.0006 | ETA 08:58:45 2020-12-16 22:20:31 [INFO] [TRAIN] epoch=104, iter=38560/80000, loss=0.2147, lr=0.005532, batch_cost=0.8090, reader_cost=0.0041 | ETA 09:18:42 2020-12-16 22:20:39 [INFO] [TRAIN] epoch=104, iter=38570/80000, loss=0.2104, lr=0.005531, batch_cost=0.8396, reader_cost=0.0004 | ETA 09:39:45 2020-12-16 22:20:47 [INFO] [TRAIN] epoch=104, iter=38580/80000, loss=0.2549, lr=0.005530, batch_cost=0.8136, reader_cost=0.0008 | ETA 09:21:39 2020-12-16 22:20:55 [INFO] [TRAIN] epoch=104, iter=38590/80000, loss=0.2317, lr=0.005529, batch_cost=0.8157, reader_cost=0.0001 | ETA 09:22:56 2020-12-16 22:21:04 [INFO] [TRAIN] epoch=104, iter=38600/80000, loss=0.1859, lr=0.005528, batch_cost=0.8704, reader_cost=0.0025 | ETA 10:00:34 2020-12-16 22:21:12 [INFO] [TRAIN] epoch=104, iter=38610/80000, loss=0.1993, lr=0.005526, batch_cost=0.7924, reader_cost=0.0001 | ETA 09:06:35 2020-12-16 22:21:20 [INFO] [TRAIN] epoch=104, iter=38620/80000, loss=0.1772, lr=0.005525, batch_cost=0.7726, reader_cost=0.0001 | ETA 08:52:51 2020-12-16 22:21:28 [INFO] [TRAIN] epoch=104, iter=38630/80000, loss=0.2275, lr=0.005524, batch_cost=0.7943, reader_cost=0.0027 | ETA 09:07:41 2020-12-16 22:21:36 [INFO] [TRAIN] epoch=104, iter=38640/80000, loss=0.1623, lr=0.005523, batch_cost=0.8381, reader_cost=0.0002 | ETA 09:37:45 2020-12-16 22:21:44 [INFO] [TRAIN] epoch=104, iter=38650/80000, loss=0.2131, lr=0.005521, batch_cost=0.8164, reader_cost=0.0023 | ETA 09:22:38 2020-12-16 22:21:53 [INFO] [TRAIN] epoch=104, iter=38660/80000, loss=0.1718, lr=0.005520, batch_cost=0.8738, reader_cost=0.0007 | ETA 10:02:02 2020-12-16 22:22:02 [INFO] [TRAIN] epoch=104, iter=38670/80000, loss=0.1832, lr=0.005519, batch_cost=0.8833, reader_cost=0.0026 | ETA 10:08:25 2020-12-16 22:22:10 [INFO] [TRAIN] epoch=104, iter=38680/80000, loss=0.2361, lr=0.005518, batch_cost=0.8112, reader_cost=0.0003 | ETA 09:18:37 2020-12-16 22:22:18 [INFO] [TRAIN] epoch=105, iter=38690/80000, loss=0.1328, lr=0.005517, batch_cost=0.7942, reader_cost=0.0488 | ETA 09:06:47 2020-12-16 22:22:26 [INFO] [TRAIN] epoch=105, iter=38700/80000, loss=0.1523, lr=0.005515, batch_cost=0.8326, reader_cost=0.0060 | ETA 09:33:04 2020-12-16 22:22:34 [INFO] [TRAIN] epoch=105, iter=38710/80000, loss=0.2219, lr=0.005514, batch_cost=0.8270, reader_cost=0.0001 | ETA 09:29:08 2020-12-16 22:22:40 [INFO] [TRAIN] epoch=105, iter=38720/80000, loss=0.1587, lr=0.005513, batch_cost=0.5835, reader_cost=0.0008 | ETA 06:41:25 2020-12-16 22:22:46 [INFO] [TRAIN] epoch=105, iter=38730/80000, loss=0.2087, lr=0.005512, batch_cost=0.6095, reader_cost=0.0001 | ETA 06:59:13 2020-12-16 22:22:55 [INFO] [TRAIN] epoch=105, iter=38740/80000, loss=0.1959, lr=0.005511, batch_cost=0.8368, reader_cost=0.0005 | ETA 09:35:26 2020-12-16 22:23:03 [INFO] [TRAIN] epoch=105, iter=38750/80000, loss=0.1675, lr=0.005509, batch_cost=0.8495, reader_cost=0.0014 | ETA 09:44:03 2020-12-16 22:23:12 [INFO] [TRAIN] epoch=105, iter=38760/80000, loss=0.1526, lr=0.005508, batch_cost=0.8412, reader_cost=0.0023 | ETA 09:38:11 2020-12-16 22:23:19 [INFO] [TRAIN] epoch=105, iter=38770/80000, loss=0.2677, lr=0.005507, batch_cost=0.7571, reader_cost=0.0012 | ETA 08:40:13 2020-12-16 22:23:28 [INFO] [TRAIN] epoch=105, iter=38780/80000, loss=0.1545, lr=0.005506, batch_cost=0.9001, reader_cost=0.0001 | ETA 10:18:21 2020-12-16 22:23:36 [INFO] [TRAIN] epoch=105, iter=38790/80000, loss=0.2064, lr=0.005505, batch_cost=0.7951, reader_cost=0.0002 | ETA 09:06:06 2020-12-16 22:23:45 [INFO] [TRAIN] epoch=105, iter=38800/80000, loss=0.1921, lr=0.005503, batch_cost=0.9001, reader_cost=0.0001 | ETA 10:18:04 2020-12-16 22:23:54 [INFO] [TRAIN] epoch=105, iter=38810/80000, loss=0.1551, lr=0.005502, batch_cost=0.9197, reader_cost=0.0032 | ETA 10:31:23 2020-12-16 22:24:03 [INFO] [TRAIN] epoch=105, iter=38820/80000, loss=0.2028, lr=0.005501, batch_cost=0.8332, reader_cost=0.0019 | ETA 09:31:50 2020-12-16 22:24:11 [INFO] [TRAIN] epoch=105, iter=38830/80000, loss=0.2444, lr=0.005500, batch_cost=0.7987, reader_cost=0.0001 | ETA 09:08:02 2020-12-16 22:24:19 [INFO] [TRAIN] epoch=105, iter=38840/80000, loss=0.1867, lr=0.005499, batch_cost=0.7855, reader_cost=0.0024 | ETA 08:58:49 2020-12-16 22:24:27 [INFO] [TRAIN] epoch=105, iter=38850/80000, loss=0.1873, lr=0.005497, batch_cost=0.8104, reader_cost=0.0019 | ETA 09:15:49 2020-12-16 22:24:36 [INFO] [TRAIN] epoch=105, iter=38860/80000, loss=0.2109, lr=0.005496, batch_cost=0.9037, reader_cost=0.0017 | ETA 10:19:39 2020-12-16 22:24:44 [INFO] [TRAIN] epoch=105, iter=38870/80000, loss=0.2371, lr=0.005495, batch_cost=0.8306, reader_cost=0.0005 | ETA 09:29:23 2020-12-16 22:24:52 [INFO] [TRAIN] epoch=105, iter=38880/80000, loss=0.1843, lr=0.005494, batch_cost=0.7957, reader_cost=0.0006 | ETA 09:05:19 2020-12-16 22:25:00 [INFO] [TRAIN] epoch=105, iter=38890/80000, loss=0.2015, lr=0.005493, batch_cost=0.7671, reader_cost=0.0003 | ETA 08:45:34 2020-12-16 22:25:08 [INFO] [TRAIN] epoch=105, iter=38900/80000, loss=0.2292, lr=0.005491, batch_cost=0.8710, reader_cost=0.0013 | ETA 09:56:37 2020-12-16 22:25:16 [INFO] [TRAIN] epoch=105, iter=38910/80000, loss=0.2039, lr=0.005490, batch_cost=0.7601, reader_cost=0.0023 | ETA 08:40:32 2020-12-16 22:25:24 [INFO] [TRAIN] epoch=105, iter=38920/80000, loss=0.1621, lr=0.005489, batch_cost=0.7500, reader_cost=0.0023 | ETA 08:33:28 2020-12-16 22:25:31 [INFO] [TRAIN] epoch=105, iter=38930/80000, loss=0.1554, lr=0.005488, batch_cost=0.7649, reader_cost=0.0012 | ETA 08:43:35 2020-12-16 22:25:39 [INFO] [TRAIN] epoch=105, iter=38940/80000, loss=0.1972, lr=0.005487, batch_cost=0.7601, reader_cost=0.0008 | ETA 08:40:11 2020-12-16 22:25:47 [INFO] [TRAIN] epoch=105, iter=38950/80000, loss=0.1574, lr=0.005485, batch_cost=0.8202, reader_cost=0.0013 | ETA 09:21:09 2020-12-16 22:25:56 [INFO] [TRAIN] epoch=105, iter=38960/80000, loss=0.1946, lr=0.005484, batch_cost=0.8687, reader_cost=0.0002 | ETA 09:54:12 2020-12-16 22:26:04 [INFO] [TRAIN] epoch=105, iter=38970/80000, loss=0.1802, lr=0.005483, batch_cost=0.7798, reader_cost=0.0006 | ETA 08:53:16 2020-12-16 22:26:12 [INFO] [TRAIN] epoch=105, iter=38980/80000, loss=0.1631, lr=0.005482, batch_cost=0.8566, reader_cost=0.0016 | ETA 09:45:37 2020-12-16 22:26:20 [INFO] [TRAIN] epoch=105, iter=38990/80000, loss=0.1563, lr=0.005481, batch_cost=0.7972, reader_cost=0.0054 | ETA 09:04:52 2020-12-16 22:26:29 [INFO] [TRAIN] epoch=105, iter=39000/80000, loss=0.1857, lr=0.005479, batch_cost=0.9009, reader_cost=0.0027 | ETA 10:15:37 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 22:26:29 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 22:27:12 [INFO] [EVAL] #Images=500 mIoU=0.7716 Acc=0.9578 Kappa=0.9452 2020-12-16 22:27:12 [INFO] [EVAL] Class IoU: [0.9803 0.8399 0.9176 0.4997 0.5836 0.581 0.6894 0.7694 0.9212 0.6635 0.9413 0.8044 0.5992 0.9482 0.8395 0.8691 0.7977 0.6473 0.768 ] 2020-12-16 22:27:12 [INFO] [EVAL] Class Acc: [0.9902 0.9182 0.9499 0.8146 0.7643 0.768 0.8318 0.8984 0.9525 0.8371 0.9676 0.8729 0.8077 0.972 0.9362 0.9516 0.9495 0.8292 0.8571] 2020-12-16 22:27:18 [INFO] [EVAL] The model with the best validation mIoU (0.7716) was saved at iter 39000. 2020-12-16 22:27:25 [INFO] [TRAIN] epoch=105, iter=39010/80000, loss=0.2179, lr=0.005478, batch_cost=0.6368, reader_cost=0.0025 | ETA 07:15:00 2020-12-16 22:27:33 [INFO] [TRAIN] epoch=105, iter=39020/80000, loss=0.2232, lr=0.005477, batch_cost=0.7971, reader_cost=0.0001 | ETA 09:04:24 2020-12-16 22:27:41 [INFO] [TRAIN] epoch=105, iter=39030/80000, loss=0.1921, lr=0.005476, batch_cost=0.8485, reader_cost=0.0026 | ETA 09:39:24 2020-12-16 22:27:50 [INFO] [TRAIN] epoch=105, iter=39040/80000, loss=0.1358, lr=0.005475, batch_cost=0.8701, reader_cost=0.0020 | ETA 09:53:58 2020-12-16 22:27:57 [INFO] [TRAIN] epoch=105, iter=39050/80000, loss=0.1847, lr=0.005473, batch_cost=0.7274, reader_cost=0.0042 | ETA 08:16:26 2020-12-16 22:28:04 [INFO] [TRAIN] epoch=105, iter=39060/80000, loss=0.1926, lr=0.005472, batch_cost=0.6982, reader_cost=0.0016 | ETA 07:56:22 2020-12-16 22:28:12 [INFO] [TRAIN] epoch=106, iter=39070/80000, loss=0.1905, lr=0.005471, batch_cost=0.8141, reader_cost=0.0643 | ETA 09:15:19 2020-12-16 22:28:21 [INFO] [TRAIN] epoch=106, iter=39080/80000, loss=0.2561, lr=0.005470, batch_cost=0.8833, reader_cost=0.0002 | ETA 10:02:24 2020-12-16 22:28:29 [INFO] [TRAIN] epoch=106, iter=39090/80000, loss=0.1219, lr=0.005469, batch_cost=0.8127, reader_cost=0.0002 | ETA 09:14:06 2020-12-16 22:28:37 [INFO] [TRAIN] epoch=106, iter=39100/80000, loss=0.1740, lr=0.005467, batch_cost=0.7869, reader_cost=0.0001 | ETA 08:56:25 2020-12-16 22:28:44 [INFO] [TRAIN] epoch=106, iter=39110/80000, loss=0.2105, lr=0.005466, batch_cost=0.7394, reader_cost=0.0013 | ETA 08:23:53 2020-12-16 22:28:51 [INFO] [TRAIN] epoch=106, iter=39120/80000, loss=0.1372, lr=0.005465, batch_cost=0.6991, reader_cost=0.0010 | ETA 07:56:20 2020-12-16 22:28:59 [INFO] [TRAIN] epoch=106, iter=39130/80000, loss=0.2079, lr=0.005464, batch_cost=0.7281, reader_cost=0.0115 | ETA 08:15:58 2020-12-16 22:29:06 [INFO] [TRAIN] epoch=106, iter=39140/80000, loss=0.1608, lr=0.005463, batch_cost=0.7560, reader_cost=0.0002 | ETA 08:34:52 2020-12-16 22:29:14 [INFO] [TRAIN] epoch=106, iter=39150/80000, loss=0.1928, lr=0.005461, batch_cost=0.7921, reader_cost=0.0001 | ETA 08:59:15 2020-12-16 22:29:21 [INFO] [TRAIN] epoch=106, iter=39160/80000, loss=0.1738, lr=0.005460, batch_cost=0.7182, reader_cost=0.0015 | ETA 08:08:53 2020-12-16 22:29:29 [INFO] [TRAIN] epoch=106, iter=39170/80000, loss=0.1690, lr=0.005459, batch_cost=0.7669, reader_cost=0.0007 | ETA 08:41:52 2020-12-16 22:29:37 [INFO] [TRAIN] epoch=106, iter=39180/80000, loss=0.1555, lr=0.005458, batch_cost=0.7743, reader_cost=0.0024 | ETA 08:46:45 2020-12-16 22:29:44 [INFO] [TRAIN] epoch=106, iter=39190/80000, loss=0.1861, lr=0.005457, batch_cost=0.7262, reader_cost=0.0006 | ETA 08:13:57 2020-12-16 22:29:52 [INFO] [TRAIN] epoch=106, iter=39200/80000, loss=0.1362, lr=0.005455, batch_cost=0.7878, reader_cost=0.0001 | ETA 08:55:41 2020-12-16 22:30:00 [INFO] [TRAIN] epoch=106, iter=39210/80000, loss=0.1905, lr=0.005454, batch_cost=0.8144, reader_cost=0.0018 | ETA 09:13:38 2020-12-16 22:30:08 [INFO] [TRAIN] epoch=106, iter=39220/80000, loss=0.1707, lr=0.005453, batch_cost=0.7780, reader_cost=0.0001 | ETA 08:48:48 2020-12-16 22:30:16 [INFO] [TRAIN] epoch=106, iter=39230/80000, loss=0.2099, lr=0.005452, batch_cost=0.7923, reader_cost=0.0014 | ETA 08:58:22 2020-12-16 22:30:24 [INFO] [TRAIN] epoch=106, iter=39240/80000, loss=0.1930, lr=0.005451, batch_cost=0.8515, reader_cost=0.0009 | ETA 09:38:26 2020-12-16 22:30:33 [INFO] [TRAIN] epoch=106, iter=39250/80000, loss=0.1792, lr=0.005449, batch_cost=0.8275, reader_cost=0.0034 | ETA 09:22:01 2020-12-16 22:30:41 [INFO] [TRAIN] epoch=106, iter=39260/80000, loss=0.1856, lr=0.005448, batch_cost=0.8098, reader_cost=0.0002 | ETA 09:09:49 2020-12-16 22:30:48 [INFO] [TRAIN] epoch=106, iter=39270/80000, loss=0.2134, lr=0.005447, batch_cost=0.7364, reader_cost=0.0017 | ETA 08:19:52 2020-12-16 22:30:56 [INFO] [TRAIN] epoch=106, iter=39280/80000, loss=0.2159, lr=0.005446, batch_cost=0.8028, reader_cost=0.0019 | ETA 09:04:52 2020-12-16 22:31:04 [INFO] [TRAIN] epoch=106, iter=39290/80000, loss=0.1963, lr=0.005445, batch_cost=0.8318, reader_cost=0.0007 | ETA 09:24:22 2020-12-16 22:31:11 [INFO] [TRAIN] epoch=106, iter=39300/80000, loss=0.1531, lr=0.005443, batch_cost=0.6895, reader_cost=0.0001 | ETA 07:47:43 2020-12-16 22:31:19 [INFO] [TRAIN] epoch=106, iter=39310/80000, loss=0.1814, lr=0.005442, batch_cost=0.7806, reader_cost=0.0006 | ETA 08:49:20 2020-12-16 22:31:28 [INFO] [TRAIN] epoch=106, iter=39320/80000, loss=0.1632, lr=0.005441, batch_cost=0.8595, reader_cost=0.0016 | ETA 09:42:45 2020-12-16 22:31:36 [INFO] [TRAIN] epoch=106, iter=39330/80000, loss=0.2084, lr=0.005440, batch_cost=0.8469, reader_cost=0.0022 | ETA 09:34:02 2020-12-16 22:31:44 [INFO] [TRAIN] epoch=106, iter=39340/80000, loss=0.2105, lr=0.005439, batch_cost=0.8178, reader_cost=0.0003 | ETA 09:14:10 2020-12-16 22:31:51 [INFO] [TRAIN] epoch=106, iter=39350/80000, loss=0.2150, lr=0.005437, batch_cost=0.6266, reader_cost=0.0002 | ETA 07:04:32 2020-12-16 22:31:56 [INFO] [TRAIN] epoch=106, iter=39360/80000, loss=0.1610, lr=0.005436, batch_cost=0.5447, reader_cost=0.0002 | ETA 06:08:57 2020-12-16 22:32:03 [INFO] [TRAIN] epoch=106, iter=39370/80000, loss=0.1685, lr=0.005435, batch_cost=0.6469, reader_cost=0.0003 | ETA 07:18:02 2020-12-16 22:32:11 [INFO] [TRAIN] epoch=106, iter=39380/80000, loss=0.1770, lr=0.005434, batch_cost=0.8358, reader_cost=0.0015 | ETA 09:25:49 2020-12-16 22:32:20 [INFO] [TRAIN] epoch=106, iter=39390/80000, loss=0.1812, lr=0.005432, batch_cost=0.8616, reader_cost=0.0014 | ETA 09:43:08 2020-12-16 22:32:28 [INFO] [TRAIN] epoch=106, iter=39400/80000, loss=0.1961, lr=0.005431, batch_cost=0.8101, reader_cost=0.0023 | ETA 09:08:09 2020-12-16 22:32:35 [INFO] [TRAIN] epoch=106, iter=39410/80000, loss=0.1584, lr=0.005430, batch_cost=0.7788, reader_cost=0.0001 | ETA 08:46:52 2020-12-16 22:32:44 [INFO] [TRAIN] epoch=106, iter=39420/80000, loss=0.2105, lr=0.005429, batch_cost=0.8950, reader_cost=0.0004 | ETA 10:05:20 2020-12-16 22:32:51 [INFO] [TRAIN] epoch=106, iter=39430/80000, loss=0.1888, lr=0.005428, batch_cost=0.6763, reader_cost=0.0001 | ETA 07:37:18 2020-12-16 22:33:00 [INFO] [TRAIN] epoch=107, iter=39440/80000, loss=0.1709, lr=0.005426, batch_cost=0.8438, reader_cost=0.0714 | ETA 09:30:25 2020-12-16 22:33:08 [INFO] [TRAIN] epoch=107, iter=39450/80000, loss=0.1860, lr=0.005425, batch_cost=0.8645, reader_cost=0.0027 | ETA 09:44:17 2020-12-16 22:33:16 [INFO] [TRAIN] epoch=107, iter=39460/80000, loss=0.1834, lr=0.005424, batch_cost=0.8070, reader_cost=0.0005 | ETA 09:05:17 2020-12-16 22:33:25 [INFO] [TRAIN] epoch=107, iter=39470/80000, loss=0.3021, lr=0.005423, batch_cost=0.8264, reader_cost=0.0013 | ETA 09:18:13 2020-12-16 22:33:33 [INFO] [TRAIN] epoch=107, iter=39480/80000, loss=0.2936, lr=0.005422, batch_cost=0.8384, reader_cost=0.0004 | ETA 09:26:12 2020-12-16 22:33:41 [INFO] [TRAIN] epoch=107, iter=39490/80000, loss=0.1950, lr=0.005420, batch_cost=0.7953, reader_cost=0.0028 | ETA 08:56:58 2020-12-16 22:33:50 [INFO] [TRAIN] epoch=107, iter=39500/80000, loss=0.2123, lr=0.005419, batch_cost=0.8702, reader_cost=0.0037 | ETA 09:47:22 2020-12-16 22:33:58 [INFO] [TRAIN] epoch=107, iter=39510/80000, loss=0.2197, lr=0.005418, batch_cost=0.8173, reader_cost=0.0002 | ETA 09:11:33 2020-12-16 22:34:06 [INFO] [TRAIN] epoch=107, iter=39520/80000, loss=0.1933, lr=0.005417, batch_cost=0.7690, reader_cost=0.0001 | ETA 08:38:49 2020-12-16 22:34:14 [INFO] [TRAIN] epoch=107, iter=39530/80000, loss=0.2015, lr=0.005416, batch_cost=0.8008, reader_cost=0.0019 | ETA 09:00:09 2020-12-16 22:34:21 [INFO] [TRAIN] epoch=107, iter=39540/80000, loss=0.1788, lr=0.005414, batch_cost=0.7489, reader_cost=0.0028 | ETA 08:24:59 2020-12-16 22:34:28 [INFO] [TRAIN] epoch=107, iter=39550/80000, loss=0.1511, lr=0.005413, batch_cost=0.7417, reader_cost=0.0011 | ETA 08:20:03 2020-12-16 22:34:36 [INFO] [TRAIN] epoch=107, iter=39560/80000, loss=0.2162, lr=0.005412, batch_cost=0.7803, reader_cost=0.0024 | ETA 08:45:56 2020-12-16 22:34:44 [INFO] [TRAIN] epoch=107, iter=39570/80000, loss=0.1844, lr=0.005411, batch_cost=0.7905, reader_cost=0.0011 | ETA 08:52:38 2020-12-16 22:34:53 [INFO] [TRAIN] epoch=107, iter=39580/80000, loss=0.1327, lr=0.005410, batch_cost=0.8368, reader_cost=0.0023 | ETA 09:23:44 2020-12-16 22:35:00 [INFO] [TRAIN] epoch=107, iter=39590/80000, loss=0.1750, lr=0.005408, batch_cost=0.7664, reader_cost=0.0014 | ETA 08:36:10 2020-12-16 22:35:09 [INFO] [TRAIN] epoch=107, iter=39600/80000, loss=0.1176, lr=0.005407, batch_cost=0.8330, reader_cost=0.0028 | ETA 09:20:52 2020-12-16 22:35:17 [INFO] [TRAIN] epoch=107, iter=39610/80000, loss=0.2269, lr=0.005406, batch_cost=0.8114, reader_cost=0.0027 | ETA 09:06:10 2020-12-16 22:35:25 [INFO] [TRAIN] epoch=107, iter=39620/80000, loss=0.2033, lr=0.005405, batch_cost=0.7969, reader_cost=0.0001 | ETA 08:56:19 2020-12-16 22:35:33 [INFO] [TRAIN] epoch=107, iter=39630/80000, loss=0.1650, lr=0.005404, batch_cost=0.8473, reader_cost=0.0003 | ETA 09:30:05 2020-12-16 22:35:42 [INFO] [TRAIN] epoch=107, iter=39640/80000, loss=0.1424, lr=0.005402, batch_cost=0.8562, reader_cost=0.0017 | ETA 09:35:57 2020-12-16 22:35:50 [INFO] [TRAIN] epoch=107, iter=39650/80000, loss=0.1891, lr=0.005401, batch_cost=0.8748, reader_cost=0.0023 | ETA 09:48:17 2020-12-16 22:35:58 [INFO] [TRAIN] epoch=107, iter=39660/80000, loss=0.1469, lr=0.005400, batch_cost=0.7978, reader_cost=0.0006 | ETA 08:56:22 2020-12-16 22:36:07 [INFO] [TRAIN] epoch=107, iter=39670/80000, loss=0.1635, lr=0.005399, batch_cost=0.8746, reader_cost=0.0029 | ETA 09:47:50 2020-12-16 22:36:15 [INFO] [TRAIN] epoch=107, iter=39680/80000, loss=0.1864, lr=0.005398, batch_cost=0.7834, reader_cost=0.0026 | ETA 08:46:25 2020-12-16 22:36:23 [INFO] [TRAIN] epoch=107, iter=39690/80000, loss=0.1412, lr=0.005396, batch_cost=0.7570, reader_cost=0.0005 | ETA 08:28:35 2020-12-16 22:36:28 [INFO] [TRAIN] epoch=107, iter=39700/80000, loss=0.1919, lr=0.005395, batch_cost=0.5488, reader_cost=0.0001 | ETA 06:08:37 2020-12-16 22:36:34 [INFO] [TRAIN] epoch=107, iter=39710/80000, loss=0.1863, lr=0.005394, batch_cost=0.6442, reader_cost=0.0001 | ETA 07:12:35 2020-12-16 22:36:43 [INFO] [TRAIN] epoch=107, iter=39720/80000, loss=0.2153, lr=0.005393, batch_cost=0.8751, reader_cost=0.0009 | ETA 09:47:29 2020-12-16 22:36:52 [INFO] [TRAIN] epoch=107, iter=39730/80000, loss=0.3828, lr=0.005392, batch_cost=0.8624, reader_cost=0.0039 | ETA 09:38:49 2020-12-16 22:37:00 [INFO] [TRAIN] epoch=107, iter=39740/80000, loss=0.2255, lr=0.005390, batch_cost=0.7753, reader_cost=0.0037 | ETA 08:40:12 2020-12-16 22:37:08 [INFO] [TRAIN] epoch=107, iter=39750/80000, loss=0.1694, lr=0.005389, batch_cost=0.8353, reader_cost=0.0012 | ETA 09:20:22 2020-12-16 22:37:15 [INFO] [TRAIN] epoch=107, iter=39760/80000, loss=0.1895, lr=0.005388, batch_cost=0.7535, reader_cost=0.0071 | ETA 08:25:20 2020-12-16 22:37:23 [INFO] [TRAIN] epoch=107, iter=39770/80000, loss=0.1740, lr=0.005387, batch_cost=0.7685, reader_cost=0.0028 | ETA 08:35:15 2020-12-16 22:37:32 [INFO] [TRAIN] epoch=107, iter=39780/80000, loss=0.1712, lr=0.005386, batch_cost=0.8477, reader_cost=0.0009 | ETA 09:28:14 2020-12-16 22:37:39 [INFO] [TRAIN] epoch=107, iter=39790/80000, loss=0.2674, lr=0.005384, batch_cost=0.7786, reader_cost=0.0001 | ETA 08:41:48 2020-12-16 22:37:47 [INFO] [TRAIN] epoch=107, iter=39800/80000, loss=0.2010, lr=0.005383, batch_cost=0.7991, reader_cost=0.0001 | ETA 08:55:23 2020-12-16 22:37:55 [INFO] [TRAIN] epoch=108, iter=39810/80000, loss=0.3095, lr=0.005382, batch_cost=0.7913, reader_cost=0.0737 | ETA 08:50:04 2020-12-16 22:38:04 [INFO] [TRAIN] epoch=108, iter=39820/80000, loss=0.1543, lr=0.005381, batch_cost=0.8344, reader_cost=0.0052 | ETA 09:18:47 2020-12-16 22:38:12 [INFO] [TRAIN] epoch=108, iter=39830/80000, loss=0.2095, lr=0.005379, batch_cost=0.7963, reader_cost=0.0011 | ETA 08:53:08 2020-12-16 22:38:20 [INFO] [TRAIN] epoch=108, iter=39840/80000, loss=0.2321, lr=0.005378, batch_cost=0.7950, reader_cost=0.0006 | ETA 08:52:06 2020-12-16 22:38:27 [INFO] [TRAIN] epoch=108, iter=39850/80000, loss=0.1952, lr=0.005377, batch_cost=0.7502, reader_cost=0.0004 | ETA 08:21:59 2020-12-16 22:38:35 [INFO] [TRAIN] epoch=108, iter=39860/80000, loss=0.1482, lr=0.005376, batch_cost=0.8171, reader_cost=0.0013 | ETA 09:06:39 2020-12-16 22:38:43 [INFO] [TRAIN] epoch=108, iter=39870/80000, loss=0.2053, lr=0.005375, batch_cost=0.8058, reader_cost=0.0013 | ETA 08:58:58 2020-12-16 22:38:52 [INFO] [TRAIN] epoch=108, iter=39880/80000, loss=0.1909, lr=0.005373, batch_cost=0.8305, reader_cost=0.0012 | ETA 09:15:17 2020-12-16 22:38:59 [INFO] [TRAIN] epoch=108, iter=39890/80000, loss=0.1874, lr=0.005372, batch_cost=0.7813, reader_cost=0.0015 | ETA 08:42:16 2020-12-16 22:39:08 [INFO] [TRAIN] epoch=108, iter=39900/80000, loss=0.1667, lr=0.005371, batch_cost=0.8296, reader_cost=0.0020 | ETA 09:14:28 2020-12-16 22:39:16 [INFO] [TRAIN] epoch=108, iter=39910/80000, loss=0.2162, lr=0.005370, batch_cost=0.8616, reader_cost=0.0023 | ETA 09:35:39 2020-12-16 22:39:24 [INFO] [TRAIN] epoch=108, iter=39920/80000, loss=0.4065, lr=0.005369, batch_cost=0.7853, reader_cost=0.0009 | ETA 08:44:34 2020-12-16 22:39:32 [INFO] [TRAIN] epoch=108, iter=39930/80000, loss=0.1750, lr=0.005367, batch_cost=0.7957, reader_cost=0.0063 | ETA 08:51:24 2020-12-16 22:39:41 [INFO] [TRAIN] epoch=108, iter=39940/80000, loss=0.1967, lr=0.005366, batch_cost=0.8610, reader_cost=0.0033 | ETA 09:34:53 2020-12-16 22:39:49 [INFO] [TRAIN] epoch=108, iter=39950/80000, loss=0.1500, lr=0.005365, batch_cost=0.8051, reader_cost=0.0001 | ETA 08:57:26 2020-12-16 22:39:57 [INFO] [TRAIN] epoch=108, iter=39960/80000, loss=0.1848, lr=0.005364, batch_cost=0.8306, reader_cost=0.0009 | ETA 09:14:17 2020-12-16 22:40:06 [INFO] [TRAIN] epoch=108, iter=39970/80000, loss=0.2034, lr=0.005363, batch_cost=0.8973, reader_cost=0.0047 | ETA 09:58:40 2020-12-16 22:40:15 [INFO] [TRAIN] epoch=108, iter=39980/80000, loss=0.1743, lr=0.005361, batch_cost=0.8584, reader_cost=0.0003 | ETA 09:32:33 2020-12-16 22:40:22 [INFO] [TRAIN] epoch=108, iter=39990/80000, loss=0.1611, lr=0.005360, batch_cost=0.7641, reader_cost=0.0029 | ETA 08:29:33 2020-12-16 22:40:30 [INFO] [TRAIN] epoch=108, iter=40000/80000, loss=0.1673, lr=0.005359, batch_cost=0.7857, reader_cost=0.0002 | ETA 08:43:47 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 22:40:30 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 22:41:12 [INFO] [EVAL] #Images=500 mIoU=0.7665 Acc=0.9579 Kappa=0.9453 2020-12-16 22:41:12 [INFO] [EVAL] Class IoU: [0.9809 0.8457 0.9177 0.529 0.6161 0.5762 0.6892 0.7669 0.9196 0.6329 0.9404 0.7944 0.592 0.9453 0.8346 0.8381 0.7534 0.6303 0.7605] 2020-12-16 22:41:12 [INFO] [EVAL] Class Acc: [0.9904 0.92 0.9466 0.8328 0.8126 0.7752 0.8249 0.905 0.9529 0.8817 0.9585 0.8607 0.7945 0.9739 0.939 0.9076 0.8953 0.8075 0.8687] 2020-12-16 22:41:17 [INFO] [EVAL] The model with the best validation mIoU (0.7716) was saved at iter 39000. 2020-12-16 22:41:25 [INFO] [TRAIN] epoch=108, iter=40010/80000, loss=0.1411, lr=0.005358, batch_cost=0.8259, reader_cost=0.0004 | ETA 09:10:26 2020-12-16 22:41:34 [INFO] [TRAIN] epoch=108, iter=40020/80000, loss=0.2506, lr=0.005357, batch_cost=0.8542, reader_cost=0.0018 | ETA 09:29:11 2020-12-16 22:41:42 [INFO] [TRAIN] epoch=108, iter=40030/80000, loss=0.1994, lr=0.005355, batch_cost=0.8510, reader_cost=0.0035 | ETA 09:26:56 2020-12-16 22:41:51 [INFO] [TRAIN] epoch=108, iter=40040/80000, loss=0.2013, lr=0.005354, batch_cost=0.8251, reader_cost=0.0008 | ETA 09:09:31 2020-12-16 22:41:59 [INFO] [TRAIN] epoch=108, iter=40050/80000, loss=0.1686, lr=0.005353, batch_cost=0.8623, reader_cost=0.0008 | ETA 09:34:08 2020-12-16 22:42:07 [INFO] [TRAIN] epoch=108, iter=40060/80000, loss=0.1697, lr=0.005352, batch_cost=0.7761, reader_cost=0.0018 | ETA 08:36:37 2020-12-16 22:42:15 [INFO] [TRAIN] epoch=108, iter=40070/80000, loss=0.2240, lr=0.005351, batch_cost=0.8509, reader_cost=0.0014 | ETA 09:26:15 2020-12-16 22:42:23 [INFO] [TRAIN] epoch=108, iter=40080/80000, loss=0.1719, lr=0.005349, batch_cost=0.7387, reader_cost=0.0004 | ETA 08:11:28 2020-12-16 22:42:30 [INFO] [TRAIN] epoch=108, iter=40090/80000, loss=0.2589, lr=0.005348, batch_cost=0.7369, reader_cost=0.0006 | ETA 08:10:11 2020-12-16 22:42:38 [INFO] [TRAIN] epoch=108, iter=40100/80000, loss=0.2728, lr=0.005347, batch_cost=0.7831, reader_cost=0.0012 | ETA 08:40:46 2020-12-16 22:42:45 [INFO] [TRAIN] epoch=108, iter=40110/80000, loss=0.1651, lr=0.005346, batch_cost=0.7311, reader_cost=0.0006 | ETA 08:06:04 2020-12-16 22:42:53 [INFO] [TRAIN] epoch=108, iter=40120/80000, loss=0.2115, lr=0.005345, batch_cost=0.7558, reader_cost=0.0001 | ETA 08:22:21 2020-12-16 22:43:00 [INFO] [TRAIN] epoch=108, iter=40130/80000, loss=0.2080, lr=0.005343, batch_cost=0.7410, reader_cost=0.0021 | ETA 08:12:22 2020-12-16 22:43:08 [INFO] [TRAIN] epoch=108, iter=40140/80000, loss=0.1687, lr=0.005342, batch_cost=0.7400, reader_cost=0.0006 | ETA 08:11:35 2020-12-16 22:43:15 [INFO] [TRAIN] epoch=108, iter=40150/80000, loss=0.2322, lr=0.005341, batch_cost=0.7578, reader_cost=0.0015 | ETA 08:23:19 2020-12-16 22:43:22 [INFO] [TRAIN] epoch=108, iter=40160/80000, loss=0.1571, lr=0.005340, batch_cost=0.6632, reader_cost=0.0010 | ETA 07:20:21 2020-12-16 22:43:30 [INFO] [TRAIN] epoch=108, iter=40170/80000, loss=0.1936, lr=0.005338, batch_cost=0.8070, reader_cost=0.0007 | ETA 08:55:41 2020-12-16 22:43:36 [INFO] [TRAIN] epoch=109, iter=40180/80000, loss=0.1866, lr=0.005337, batch_cost=0.6305, reader_cost=0.0623 | ETA 06:58:25 2020-12-16 22:43:42 [INFO] [TRAIN] epoch=109, iter=40190/80000, loss=0.1857, lr=0.005336, batch_cost=0.5537, reader_cost=0.0001 | ETA 06:07:22 2020-12-16 22:43:47 [INFO] [TRAIN] epoch=109, iter=40200/80000, loss=0.1584, lr=0.005335, batch_cost=0.5541, reader_cost=0.0001 | ETA 06:07:32 2020-12-16 22:43:53 [INFO] [TRAIN] epoch=109, iter=40210/80000, loss=0.2272, lr=0.005334, batch_cost=0.5535, reader_cost=0.0001 | ETA 06:07:04 2020-12-16 22:43:58 [INFO] [TRAIN] epoch=109, iter=40220/80000, loss=0.1616, lr=0.005332, batch_cost=0.5525, reader_cost=0.0002 | ETA 06:06:17 2020-12-16 22:44:04 [INFO] [TRAIN] epoch=109, iter=40230/80000, loss=0.2069, lr=0.005331, batch_cost=0.5451, reader_cost=0.0001 | ETA 06:01:17 2020-12-16 22:44:09 [INFO] [TRAIN] epoch=109, iter=40240/80000, loss=0.1617, lr=0.005330, batch_cost=0.5535, reader_cost=0.0001 | ETA 06:06:45 2020-12-16 22:44:16 [INFO] [TRAIN] epoch=109, iter=40250/80000, loss=0.1880, lr=0.005329, batch_cost=0.6696, reader_cost=0.0007 | ETA 07:23:38 2020-12-16 22:44:24 [INFO] [TRAIN] epoch=109, iter=40260/80000, loss=0.3447, lr=0.005328, batch_cost=0.8206, reader_cost=0.0039 | ETA 09:03:29 2020-12-16 22:44:33 [INFO] [TRAIN] epoch=109, iter=40270/80000, loss=0.1645, lr=0.005326, batch_cost=0.8433, reader_cost=0.0005 | ETA 09:18:24 2020-12-16 22:44:41 [INFO] [TRAIN] epoch=109, iter=40280/80000, loss=0.1851, lr=0.005325, batch_cost=0.8257, reader_cost=0.0021 | ETA 09:06:36 2020-12-16 22:44:49 [INFO] [TRAIN] epoch=109, iter=40290/80000, loss=0.1343, lr=0.005324, batch_cost=0.7683, reader_cost=0.0001 | ETA 08:28:30 2020-12-16 22:44:57 [INFO] [TRAIN] epoch=109, iter=40300/80000, loss=0.1859, lr=0.005323, batch_cost=0.8367, reader_cost=0.0027 | ETA 09:13:38 2020-12-16 22:45:05 [INFO] [TRAIN] epoch=109, iter=40310/80000, loss=0.1674, lr=0.005322, batch_cost=0.7865, reader_cost=0.0007 | ETA 08:40:15 2020-12-16 22:45:14 [INFO] [TRAIN] epoch=109, iter=40320/80000, loss=0.2815, lr=0.005320, batch_cost=0.8916, reader_cost=0.0005 | ETA 09:49:38 2020-12-16 22:45:22 [INFO] [TRAIN] epoch=109, iter=40330/80000, loss=0.1665, lr=0.005319, batch_cost=0.7727, reader_cost=0.0041 | ETA 08:30:52 2020-12-16 22:45:30 [INFO] [TRAIN] epoch=109, iter=40340/80000, loss=0.1525, lr=0.005318, batch_cost=0.8004, reader_cost=0.0008 | ETA 08:49:03 2020-12-16 22:45:39 [INFO] [TRAIN] epoch=109, iter=40350/80000, loss=0.1913, lr=0.005317, batch_cost=0.9085, reader_cost=0.0005 | ETA 10:00:23 2020-12-16 22:45:47 [INFO] [TRAIN] epoch=109, iter=40360/80000, loss=0.1842, lr=0.005316, batch_cost=0.7906, reader_cost=0.0013 | ETA 08:42:20 2020-12-16 22:45:55 [INFO] [TRAIN] epoch=109, iter=40370/80000, loss=0.1761, lr=0.005314, batch_cost=0.7981, reader_cost=0.0056 | ETA 08:47:07 2020-12-16 22:46:03 [INFO] [TRAIN] epoch=109, iter=40380/80000, loss=0.1747, lr=0.005313, batch_cost=0.8078, reader_cost=0.0002 | ETA 08:53:25 2020-12-16 22:46:10 [INFO] [TRAIN] epoch=109, iter=40390/80000, loss=0.1867, lr=0.005312, batch_cost=0.7286, reader_cost=0.0035 | ETA 08:01:00 2020-12-16 22:46:16 [INFO] [TRAIN] epoch=109, iter=40400/80000, loss=0.2331, lr=0.005311, batch_cost=0.5718, reader_cost=0.0001 | ETA 06:17:22 2020-12-16 22:46:22 [INFO] [TRAIN] epoch=109, iter=40410/80000, loss=0.1673, lr=0.005310, batch_cost=0.6124, reader_cost=0.0001 | ETA 06:44:03 2020-12-16 22:46:30 [INFO] [TRAIN] epoch=109, iter=40420/80000, loss=0.1582, lr=0.005308, batch_cost=0.7858, reader_cost=0.0040 | ETA 08:38:20 2020-12-16 22:46:38 [INFO] [TRAIN] epoch=109, iter=40430/80000, loss=0.1862, lr=0.005307, batch_cost=0.7975, reader_cost=0.0037 | ETA 08:45:58 2020-12-16 22:46:47 [INFO] [TRAIN] epoch=109, iter=40440/80000, loss=0.1697, lr=0.005306, batch_cost=0.8920, reader_cost=0.0007 | ETA 09:48:08 2020-12-16 22:46:55 [INFO] [TRAIN] epoch=109, iter=40450/80000, loss=0.1808, lr=0.005305, batch_cost=0.8505, reader_cost=0.0011 | ETA 09:20:37 2020-12-16 22:47:04 [INFO] [TRAIN] epoch=109, iter=40460/80000, loss=0.2221, lr=0.005303, batch_cost=0.8407, reader_cost=0.0007 | ETA 09:14:01 2020-12-16 22:47:12 [INFO] [TRAIN] epoch=109, iter=40470/80000, loss=0.1976, lr=0.005302, batch_cost=0.8564, reader_cost=0.0028 | ETA 09:24:13 2020-12-16 22:47:19 [INFO] [TRAIN] epoch=109, iter=40480/80000, loss=0.1819, lr=0.005301, batch_cost=0.7316, reader_cost=0.0003 | ETA 08:01:52 2020-12-16 22:47:28 [INFO] [TRAIN] epoch=109, iter=40490/80000, loss=0.1665, lr=0.005300, batch_cost=0.8408, reader_cost=0.0011 | ETA 09:13:39 2020-12-16 22:47:36 [INFO] [TRAIN] epoch=109, iter=40500/80000, loss=0.1994, lr=0.005299, batch_cost=0.8260, reader_cost=0.0003 | ETA 09:03:47 2020-12-16 22:47:45 [INFO] [TRAIN] epoch=109, iter=40510/80000, loss=0.2014, lr=0.005297, batch_cost=0.8437, reader_cost=0.0001 | ETA 09:15:16 2020-12-16 22:47:53 [INFO] [TRAIN] epoch=109, iter=40520/80000, loss=0.1272, lr=0.005296, batch_cost=0.8234, reader_cost=0.0024 | ETA 09:01:47 2020-12-16 22:48:00 [INFO] [TRAIN] epoch=109, iter=40530/80000, loss=0.2551, lr=0.005295, batch_cost=0.7178, reader_cost=0.0025 | ETA 07:52:11 2020-12-16 22:48:07 [INFO] [TRAIN] epoch=109, iter=40540/80000, loss=0.2030, lr=0.005294, batch_cost=0.7350, reader_cost=0.0001 | ETA 08:03:23 2020-12-16 22:48:15 [INFO] [TRAIN] epoch=110, iter=40550/80000, loss=0.1735, lr=0.005293, batch_cost=0.7554, reader_cost=0.0807 | ETA 08:16:40 2020-12-16 22:48:23 [INFO] [TRAIN] epoch=110, iter=40560/80000, loss=0.2219, lr=0.005291, batch_cost=0.8568, reader_cost=0.0021 | ETA 09:23:13 2020-12-16 22:48:32 [INFO] [TRAIN] epoch=110, iter=40570/80000, loss=0.1500, lr=0.005290, batch_cost=0.8381, reader_cost=0.0009 | ETA 09:10:46 2020-12-16 22:48:41 [INFO] [TRAIN] epoch=110, iter=40580/80000, loss=0.1415, lr=0.005289, batch_cost=0.9097, reader_cost=0.0038 | ETA 09:57:41 2020-12-16 22:48:50 [INFO] [TRAIN] epoch=110, iter=40590/80000, loss=0.1718, lr=0.005288, batch_cost=0.8949, reader_cost=0.0012 | ETA 09:47:48 2020-12-16 22:48:58 [INFO] [TRAIN] epoch=110, iter=40600/80000, loss=0.2019, lr=0.005287, batch_cost=0.7922, reader_cost=0.0027 | ETA 08:40:12 2020-12-16 22:49:06 [INFO] [TRAIN] epoch=110, iter=40610/80000, loss=0.1936, lr=0.005285, batch_cost=0.8030, reader_cost=0.0026 | ETA 08:47:09 2020-12-16 22:49:14 [INFO] [TRAIN] epoch=110, iter=40620/80000, loss=0.2022, lr=0.005284, batch_cost=0.8556, reader_cost=0.0001 | ETA 09:21:34 2020-12-16 22:49:22 [INFO] [TRAIN] epoch=110, iter=40630/80000, loss=0.2033, lr=0.005283, batch_cost=0.7405, reader_cost=0.0001 | ETA 08:05:53 2020-12-16 22:49:30 [INFO] [TRAIN] epoch=110, iter=40640/80000, loss=0.2270, lr=0.005282, batch_cost=0.8404, reader_cost=0.0008 | ETA 09:11:18 2020-12-16 22:49:38 [INFO] [TRAIN] epoch=110, iter=40650/80000, loss=0.1703, lr=0.005281, batch_cost=0.7481, reader_cost=0.0006 | ETA 08:10:36 2020-12-16 22:49:46 [INFO] [TRAIN] epoch=110, iter=40660/80000, loss=0.2179, lr=0.005279, batch_cost=0.7886, reader_cost=0.0008 | ETA 08:37:04 2020-12-16 22:49:54 [INFO] [TRAIN] epoch=110, iter=40670/80000, loss=0.1942, lr=0.005278, batch_cost=0.8009, reader_cost=0.0041 | ETA 08:45:00 2020-12-16 22:50:02 [INFO] [TRAIN] epoch=110, iter=40680/80000, loss=0.2184, lr=0.005277, batch_cost=0.8309, reader_cost=0.0001 | ETA 09:04:31 2020-12-16 22:50:10 [INFO] [TRAIN] epoch=110, iter=40690/80000, loss=0.1924, lr=0.005276, batch_cost=0.7707, reader_cost=0.0001 | ETA 08:24:56 2020-12-16 22:50:17 [INFO] [TRAIN] epoch=110, iter=40700/80000, loss=0.1748, lr=0.005275, batch_cost=0.7700, reader_cost=0.0021 | ETA 08:24:21 2020-12-16 22:50:25 [INFO] [TRAIN] epoch=110, iter=40710/80000, loss=0.1719, lr=0.005273, batch_cost=0.7921, reader_cost=0.0025 | ETA 08:38:42 2020-12-16 22:50:34 [INFO] [TRAIN] epoch=110, iter=40720/80000, loss=0.1797, lr=0.005272, batch_cost=0.9054, reader_cost=0.0001 | ETA 09:52:44 2020-12-16 22:50:42 [INFO] [TRAIN] epoch=110, iter=40730/80000, loss=0.1908, lr=0.005271, batch_cost=0.7301, reader_cost=0.0006 | ETA 07:57:49 2020-12-16 22:50:49 [INFO] [TRAIN] epoch=110, iter=40740/80000, loss=0.1593, lr=0.005270, batch_cost=0.7762, reader_cost=0.0017 | ETA 08:27:53 2020-12-16 22:50:55 [INFO] [TRAIN] epoch=110, iter=40750/80000, loss=0.1928, lr=0.005268, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:50:22 2020-12-16 22:51:01 [INFO] [TRAIN] epoch=110, iter=40760/80000, loss=0.2117, lr=0.005267, batch_cost=0.6313, reader_cost=0.0001 | ETA 06:52:51 2020-12-16 22:51:09 [INFO] [TRAIN] epoch=110, iter=40770/80000, loss=0.2229, lr=0.005266, batch_cost=0.7886, reader_cost=0.0002 | ETA 08:35:38 2020-12-16 22:51:17 [INFO] [TRAIN] epoch=110, iter=40780/80000, loss=0.2090, lr=0.005265, batch_cost=0.8115, reader_cost=0.0025 | ETA 08:50:26 2020-12-16 22:51:26 [INFO] [TRAIN] epoch=110, iter=40790/80000, loss=0.1700, lr=0.005264, batch_cost=0.8442, reader_cost=0.0048 | ETA 09:11:41 2020-12-16 22:51:34 [INFO] [TRAIN] epoch=110, iter=40800/80000, loss=0.2099, lr=0.005262, batch_cost=0.8167, reader_cost=0.0001 | ETA 08:53:33 2020-12-16 22:51:43 [INFO] [TRAIN] epoch=110, iter=40810/80000, loss=0.1696, lr=0.005261, batch_cost=0.9293, reader_cost=0.0001 | ETA 10:06:59 2020-12-16 22:51:51 [INFO] [TRAIN] epoch=110, iter=40820/80000, loss=0.1448, lr=0.005260, batch_cost=0.7854, reader_cost=0.0001 | ETA 08:32:51 2020-12-16 22:51:59 [INFO] [TRAIN] epoch=110, iter=40830/80000, loss=0.1680, lr=0.005259, batch_cost=0.8201, reader_cost=0.0001 | ETA 08:55:22 2020-12-16 22:52:07 [INFO] [TRAIN] epoch=110, iter=40840/80000, loss=0.1625, lr=0.005258, batch_cost=0.7484, reader_cost=0.0001 | ETA 08:08:27 2020-12-16 22:52:15 [INFO] [TRAIN] epoch=110, iter=40850/80000, loss=0.1468, lr=0.005256, batch_cost=0.8666, reader_cost=0.0017 | ETA 09:25:28 2020-12-16 22:52:23 [INFO] [TRAIN] epoch=110, iter=40860/80000, loss=0.1976, lr=0.005255, batch_cost=0.8077, reader_cost=0.0020 | ETA 08:46:53 2020-12-16 22:52:31 [INFO] [TRAIN] epoch=110, iter=40870/80000, loss=0.1948, lr=0.005254, batch_cost=0.7701, reader_cost=0.0010 | ETA 08:22:12 2020-12-16 22:52:39 [INFO] [TRAIN] epoch=110, iter=40880/80000, loss=0.2683, lr=0.005253, batch_cost=0.8360, reader_cost=0.0003 | ETA 09:05:03 2020-12-16 22:52:48 [INFO] [TRAIN] epoch=110, iter=40890/80000, loss=0.2267, lr=0.005252, batch_cost=0.8745, reader_cost=0.0007 | ETA 09:30:01 2020-12-16 22:52:55 [INFO] [TRAIN] epoch=110, iter=40900/80000, loss=0.1724, lr=0.005250, batch_cost=0.7324, reader_cost=0.0030 | ETA 07:57:15 2020-12-16 22:53:03 [INFO] [TRAIN] epoch=110, iter=40910/80000, loss=0.1597, lr=0.005249, batch_cost=0.7908, reader_cost=0.0009 | ETA 08:35:13 2020-12-16 22:53:10 [INFO] [TRAIN] epoch=110, iter=40920/80000, loss=0.1798, lr=0.005248, batch_cost=0.6726, reader_cost=0.0001 | ETA 07:18:05 2020-12-16 22:53:20 [INFO] [TRAIN] epoch=111, iter=40930/80000, loss=0.2968, lr=0.005247, batch_cost=0.9743, reader_cost=0.0651 | ETA 10:34:26 2020-12-16 22:53:28 [INFO] [TRAIN] epoch=111, iter=40940/80000, loss=0.2201, lr=0.005246, batch_cost=0.8441, reader_cost=0.0052 | ETA 09:09:32 2020-12-16 22:53:37 [INFO] [TRAIN] epoch=111, iter=40950/80000, loss=0.2408, lr=0.005244, batch_cost=0.8690, reader_cost=0.0001 | ETA 09:25:36 2020-12-16 22:53:46 [INFO] [TRAIN] epoch=111, iter=40960/80000, loss=0.2027, lr=0.005243, batch_cost=0.8630, reader_cost=0.0008 | ETA 09:21:31 2020-12-16 22:53:53 [INFO] [TRAIN] epoch=111, iter=40970/80000, loss=0.2453, lr=0.005242, batch_cost=0.7673, reader_cost=0.0037 | ETA 08:19:05 2020-12-16 22:54:01 [INFO] [TRAIN] epoch=111, iter=40980/80000, loss=0.2102, lr=0.005241, batch_cost=0.8193, reader_cost=0.0020 | ETA 08:52:49 2020-12-16 22:54:10 [INFO] [TRAIN] epoch=111, iter=40990/80000, loss=0.1747, lr=0.005239, batch_cost=0.8503, reader_cost=0.0005 | ETA 09:12:51 2020-12-16 22:54:18 [INFO] [TRAIN] epoch=111, iter=41000/80000, loss=0.2888, lr=0.005238, batch_cost=0.8257, reader_cost=0.0053 | ETA 08:56:42 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 22:54:18 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 22:55:02 [INFO] [EVAL] #Images=500 mIoU=0.7699 Acc=0.9577 Kappa=0.9451 2020-12-16 22:55:02 [INFO] [EVAL] Class IoU: [0.979 0.8392 0.9185 0.542 0.5937 0.5773 0.6933 0.7627 0.9209 0.6613 0.9422 0.8046 0.5944 0.9461 0.8344 0.8431 0.7847 0.6249 0.7649] 2020-12-16 22:55:02 [INFO] [EVAL] Class Acc: [0.9933 0.8936 0.9492 0.8619 0.7863 0.7821 0.8344 0.9105 0.9513 0.8669 0.9639 0.8765 0.8 0.9698 0.909 0.9324 0.9027 0.7786 0.8664] 2020-12-16 22:55:07 [INFO] [EVAL] The model with the best validation mIoU (0.7716) was saved at iter 39000. 2020-12-16 22:55:15 [INFO] [TRAIN] epoch=111, iter=41010/80000, loss=0.1423, lr=0.005237, batch_cost=0.7913, reader_cost=0.0108 | ETA 08:34:13 2020-12-16 22:55:23 [INFO] [TRAIN] epoch=111, iter=41020/80000, loss=0.1924, lr=0.005236, batch_cost=0.8193, reader_cost=0.0048 | ETA 08:52:14 2020-12-16 22:55:30 [INFO] [TRAIN] epoch=111, iter=41030/80000, loss=0.1573, lr=0.005235, batch_cost=0.6924, reader_cost=0.0002 | ETA 07:29:41 2020-12-16 22:55:36 [INFO] [TRAIN] epoch=111, iter=41040/80000, loss=0.2201, lr=0.005233, batch_cost=0.5508, reader_cost=0.0001 | ETA 05:57:37 2020-12-16 22:55:44 [INFO] [TRAIN] epoch=111, iter=41050/80000, loss=0.2148, lr=0.005232, batch_cost=0.7949, reader_cost=0.0003 | ETA 08:36:01 2020-12-16 22:55:52 [INFO] [TRAIN] epoch=111, iter=41060/80000, loss=0.1361, lr=0.005231, batch_cost=0.8081, reader_cost=0.0002 | ETA 08:44:28 2020-12-16 22:56:00 [INFO] [TRAIN] epoch=111, iter=41070/80000, loss=0.2307, lr=0.005230, batch_cost=0.8408, reader_cost=0.0033 | ETA 09:05:30 2020-12-16 22:56:08 [INFO] [TRAIN] epoch=111, iter=41080/80000, loss=0.1671, lr=0.005229, batch_cost=0.7782, reader_cost=0.0011 | ETA 08:24:48 2020-12-16 22:56:15 [INFO] [TRAIN] epoch=111, iter=41090/80000, loss=0.2065, lr=0.005227, batch_cost=0.7401, reader_cost=0.0027 | ETA 07:59:56 2020-12-16 22:56:23 [INFO] [TRAIN] epoch=111, iter=41100/80000, loss=0.1987, lr=0.005226, batch_cost=0.7874, reader_cost=0.0013 | ETA 08:30:31 2020-12-16 22:56:31 [INFO] [TRAIN] epoch=111, iter=41110/80000, loss=0.1509, lr=0.005225, batch_cost=0.8246, reader_cost=0.0001 | ETA 08:54:29 2020-12-16 22:56:39 [INFO] [TRAIN] epoch=111, iter=41120/80000, loss=0.1184, lr=0.005224, batch_cost=0.7725, reader_cost=0.0019 | ETA 08:20:33 2020-12-16 22:56:47 [INFO] [TRAIN] epoch=111, iter=41130/80000, loss=0.1874, lr=0.005223, batch_cost=0.7922, reader_cost=0.0012 | ETA 08:33:12 2020-12-16 22:56:55 [INFO] [TRAIN] epoch=111, iter=41140/80000, loss=0.2022, lr=0.005221, batch_cost=0.7650, reader_cost=0.0009 | ETA 08:15:28 2020-12-16 22:57:02 [INFO] [TRAIN] epoch=111, iter=41150/80000, loss=0.1499, lr=0.005220, batch_cost=0.7084, reader_cost=0.0061 | ETA 07:38:41 2020-12-16 22:57:09 [INFO] [TRAIN] epoch=111, iter=41160/80000, loss=0.2044, lr=0.005219, batch_cost=0.7210, reader_cost=0.0006 | ETA 07:46:43 2020-12-16 22:57:16 [INFO] [TRAIN] epoch=111, iter=41170/80000, loss=0.2277, lr=0.005218, batch_cost=0.7355, reader_cost=0.0017 | ETA 07:56:00 2020-12-16 22:57:24 [INFO] [TRAIN] epoch=111, iter=41180/80000, loss=0.2563, lr=0.005216, batch_cost=0.8025, reader_cost=0.0021 | ETA 08:39:12 2020-12-16 22:57:33 [INFO] [TRAIN] epoch=111, iter=41190/80000, loss=0.1757, lr=0.005215, batch_cost=0.8950, reader_cost=0.0012 | ETA 09:38:53 2020-12-16 22:57:42 [INFO] [TRAIN] epoch=111, iter=41200/80000, loss=0.1744, lr=0.005214, batch_cost=0.8742, reader_cost=0.0016 | ETA 09:25:18 2020-12-16 22:57:50 [INFO] [TRAIN] epoch=111, iter=41210/80000, loss=0.1696, lr=0.005213, batch_cost=0.8185, reader_cost=0.0001 | ETA 08:49:08 2020-12-16 22:57:59 [INFO] [TRAIN] epoch=111, iter=41220/80000, loss=0.1407, lr=0.005212, batch_cost=0.8751, reader_cost=0.0030 | ETA 09:25:37 2020-12-16 22:58:08 [INFO] [TRAIN] epoch=111, iter=41230/80000, loss=0.1579, lr=0.005210, batch_cost=0.8972, reader_cost=0.0001 | ETA 09:39:44 2020-12-16 22:58:16 [INFO] [TRAIN] epoch=111, iter=41240/80000, loss=0.2023, lr=0.005209, batch_cost=0.7607, reader_cost=0.0006 | ETA 08:11:23 2020-12-16 22:58:24 [INFO] [TRAIN] epoch=111, iter=41250/80000, loss=0.1326, lr=0.005208, batch_cost=0.8425, reader_cost=0.0019 | ETA 09:04:06 2020-12-16 22:58:33 [INFO] [TRAIN] epoch=111, iter=41260/80000, loss=0.2131, lr=0.005207, batch_cost=0.8522, reader_cost=0.0001 | ETA 09:10:15 2020-12-16 22:58:42 [INFO] [TRAIN] epoch=111, iter=41270/80000, loss=0.1810, lr=0.005206, batch_cost=0.8995, reader_cost=0.0025 | ETA 09:40:39 2020-12-16 22:58:48 [INFO] [TRAIN] epoch=111, iter=41280/80000, loss=0.2165, lr=0.005204, batch_cost=0.6767, reader_cost=0.0008 | ETA 07:16:40 2020-12-16 22:58:55 [INFO] [TRAIN] epoch=111, iter=41290/80000, loss=0.1638, lr=0.005203, batch_cost=0.6567, reader_cost=0.0001 | ETA 07:03:39 2020-12-16 22:59:03 [INFO] [TRAIN] epoch=112, iter=41300/80000, loss=0.2121, lr=0.005202, batch_cost=0.7705, reader_cost=0.0456 | ETA 08:16:57 2020-12-16 22:59:11 [INFO] [TRAIN] epoch=112, iter=41310/80000, loss=0.1695, lr=0.005201, batch_cost=0.8113, reader_cost=0.0012 | ETA 08:43:09 2020-12-16 22:59:19 [INFO] [TRAIN] epoch=112, iter=41320/80000, loss=0.1552, lr=0.005200, batch_cost=0.8726, reader_cost=0.0011 | ETA 09:22:32 2020-12-16 22:59:27 [INFO] [TRAIN] epoch=112, iter=41330/80000, loss=0.1536, lr=0.005198, batch_cost=0.7710, reader_cost=0.0053 | ETA 08:16:52 2020-12-16 22:59:34 [INFO] [TRAIN] epoch=112, iter=41340/80000, loss=0.1720, lr=0.005197, batch_cost=0.6997, reader_cost=0.0015 | ETA 07:30:52 2020-12-16 22:59:43 [INFO] [TRAIN] epoch=112, iter=41350/80000, loss=0.1458, lr=0.005196, batch_cost=0.8370, reader_cost=0.0008 | ETA 08:59:09 2020-12-16 22:59:51 [INFO] [TRAIN] epoch=112, iter=41360/80000, loss=0.1368, lr=0.005195, batch_cost=0.8590, reader_cost=0.0035 | ETA 09:13:13 2020-12-16 23:00:00 [INFO] [TRAIN] epoch=112, iter=41370/80000, loss=0.1696, lr=0.005194, batch_cost=0.8452, reader_cost=0.0045 | ETA 09:04:10 2020-12-16 23:00:07 [INFO] [TRAIN] epoch=112, iter=41380/80000, loss=0.1992, lr=0.005192, batch_cost=0.7481, reader_cost=0.0045 | ETA 08:01:30 2020-12-16 23:00:12 [INFO] [TRAIN] epoch=112, iter=41390/80000, loss=0.2218, lr=0.005191, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:48:09 2020-12-16 23:00:19 [INFO] [TRAIN] epoch=112, iter=41400/80000, loss=0.3425, lr=0.005190, batch_cost=0.6587, reader_cost=0.0003 | ETA 07:03:46 2020-12-16 23:00:27 [INFO] [TRAIN] epoch=112, iter=41410/80000, loss=0.2077, lr=0.005189, batch_cost=0.8128, reader_cost=0.0001 | ETA 08:42:45 2020-12-16 23:00:35 [INFO] [TRAIN] epoch=112, iter=41420/80000, loss=0.2199, lr=0.005187, batch_cost=0.8278, reader_cost=0.0017 | ETA 08:52:15 2020-12-16 23:00:43 [INFO] [TRAIN] epoch=112, iter=41430/80000, loss=0.1467, lr=0.005186, batch_cost=0.7982, reader_cost=0.0002 | ETA 08:33:05 2020-12-16 23:00:51 [INFO] [TRAIN] epoch=112, iter=41440/80000, loss=0.1370, lr=0.005185, batch_cost=0.7537, reader_cost=0.0001 | ETA 08:04:24 2020-12-16 23:01:00 [INFO] [TRAIN] epoch=112, iter=41450/80000, loss=0.2207, lr=0.005184, batch_cost=0.8542, reader_cost=0.0026 | ETA 09:08:48 2020-12-16 23:01:08 [INFO] [TRAIN] epoch=112, iter=41460/80000, loss=0.2081, lr=0.005183, batch_cost=0.8317, reader_cost=0.0001 | ETA 08:54:12 2020-12-16 23:01:17 [INFO] [TRAIN] epoch=112, iter=41470/80000, loss=0.1492, lr=0.005181, batch_cost=0.8893, reader_cost=0.0011 | ETA 09:31:03 2020-12-16 23:01:25 [INFO] [TRAIN] epoch=112, iter=41480/80000, loss=0.1686, lr=0.005180, batch_cost=0.8271, reader_cost=0.0015 | ETA 08:50:58 2020-12-16 23:01:33 [INFO] [TRAIN] epoch=112, iter=41490/80000, loss=0.2816, lr=0.005179, batch_cost=0.8425, reader_cost=0.0001 | ETA 09:00:45 2020-12-16 23:01:42 [INFO] [TRAIN] epoch=112, iter=41500/80000, loss=0.1818, lr=0.005178, batch_cost=0.8701, reader_cost=0.0038 | ETA 09:18:18 2020-12-16 23:01:51 [INFO] [TRAIN] epoch=112, iter=41510/80000, loss=0.1657, lr=0.005177, batch_cost=0.8781, reader_cost=0.0001 | ETA 09:23:18 2020-12-16 23:01:59 [INFO] [TRAIN] epoch=112, iter=41520/80000, loss=0.1173, lr=0.005175, batch_cost=0.8051, reader_cost=0.0010 | ETA 08:36:20 2020-12-16 23:02:07 [INFO] [TRAIN] epoch=112, iter=41530/80000, loss=0.2281, lr=0.005174, batch_cost=0.8441, reader_cost=0.0001 | ETA 09:01:13 2020-12-16 23:02:15 [INFO] [TRAIN] epoch=112, iter=41540/80000, loss=0.2608, lr=0.005173, batch_cost=0.7940, reader_cost=0.0008 | ETA 08:28:57 2020-12-16 23:02:25 [INFO] [TRAIN] epoch=112, iter=41550/80000, loss=0.1824, lr=0.005172, batch_cost=0.9134, reader_cost=0.0005 | ETA 09:45:20 2020-12-16 23:02:32 [INFO] [TRAIN] epoch=112, iter=41560/80000, loss=0.1301, lr=0.005171, batch_cost=0.7458, reader_cost=0.0007 | ETA 07:57:48 2020-12-16 23:02:40 [INFO] [TRAIN] epoch=112, iter=41570/80000, loss=0.1454, lr=0.005169, batch_cost=0.7781, reader_cost=0.0027 | ETA 08:18:23 2020-12-16 23:02:48 [INFO] [TRAIN] epoch=112, iter=41580/80000, loss=0.2352, lr=0.005168, batch_cost=0.8399, reader_cost=0.0019 | ETA 08:57:48 2020-12-16 23:02:57 [INFO] [TRAIN] epoch=112, iter=41590/80000, loss=0.1590, lr=0.005167, batch_cost=0.8393, reader_cost=0.0067 | ETA 08:57:17 2020-12-16 23:03:06 [INFO] [TRAIN] epoch=112, iter=41600/80000, loss=0.2300, lr=0.005166, batch_cost=0.8912, reader_cost=0.0021 | ETA 09:30:21 2020-12-16 23:03:14 [INFO] [TRAIN] epoch=112, iter=41610/80000, loss=0.2057, lr=0.005164, batch_cost=0.8690, reader_cost=0.0030 | ETA 09:16:00 2020-12-16 23:03:22 [INFO] [TRAIN] epoch=112, iter=41620/80000, loss=0.2164, lr=0.005163, batch_cost=0.7824, reader_cost=0.0001 | ETA 08:20:28 2020-12-16 23:03:30 [INFO] [TRAIN] epoch=112, iter=41630/80000, loss=0.2061, lr=0.005162, batch_cost=0.7958, reader_cost=0.0003 | ETA 08:28:52 2020-12-16 23:03:39 [INFO] [TRAIN] epoch=112, iter=41640/80000, loss=0.1864, lr=0.005161, batch_cost=0.8656, reader_cost=0.0003 | ETA 09:13:25 2020-12-16 23:03:47 [INFO] [TRAIN] epoch=112, iter=41650/80000, loss=0.1523, lr=0.005160, batch_cost=0.8480, reader_cost=0.0015 | ETA 09:01:59 2020-12-16 23:03:55 [INFO] [TRAIN] epoch=112, iter=41660/80000, loss=0.1480, lr=0.005158, batch_cost=0.7758, reader_cost=0.0003 | ETA 08:15:44 2020-12-16 23:04:03 [INFO] [TRAIN] epoch=113, iter=41670/80000, loss=0.1860, lr=0.005157, batch_cost=0.7957, reader_cost=0.0567 | ETA 08:28:18 2020-12-16 23:04:11 [INFO] [TRAIN] epoch=113, iter=41680/80000, loss=0.1878, lr=0.005156, batch_cost=0.7719, reader_cost=0.0015 | ETA 08:12:58 2020-12-16 23:04:19 [INFO] [TRAIN] epoch=113, iter=41690/80000, loss=0.2210, lr=0.005155, batch_cost=0.8159, reader_cost=0.0013 | ETA 08:40:57 2020-12-16 23:04:28 [INFO] [TRAIN] epoch=113, iter=41700/80000, loss=0.2147, lr=0.005154, batch_cost=0.8947, reader_cost=0.0017 | ETA 09:31:08 2020-12-16 23:04:36 [INFO] [TRAIN] epoch=113, iter=41710/80000, loss=0.1770, lr=0.005152, batch_cost=0.8040, reader_cost=0.0006 | ETA 08:33:04 2020-12-16 23:04:43 [INFO] [TRAIN] epoch=113, iter=41720/80000, loss=0.1524, lr=0.005151, batch_cost=0.6944, reader_cost=0.0004 | ETA 07:23:03 2020-12-16 23:04:48 [INFO] [TRAIN] epoch=113, iter=41730/80000, loss=0.1654, lr=0.005150, batch_cost=0.5478, reader_cost=0.0002 | ETA 05:49:22 2020-12-16 23:04:55 [INFO] [TRAIN] epoch=113, iter=41740/80000, loss=0.2189, lr=0.005149, batch_cost=0.6602, reader_cost=0.0001 | ETA 07:00:57 2020-12-16 23:05:03 [INFO] [TRAIN] epoch=113, iter=41750/80000, loss=0.1630, lr=0.005148, batch_cost=0.7987, reader_cost=0.0001 | ETA 08:29:09 2020-12-16 23:05:11 [INFO] [TRAIN] epoch=113, iter=41760/80000, loss=0.1616, lr=0.005146, batch_cost=0.8399, reader_cost=0.0003 | ETA 08:55:17 2020-12-16 23:05:20 [INFO] [TRAIN] epoch=113, iter=41770/80000, loss=0.1851, lr=0.005145, batch_cost=0.8370, reader_cost=0.0062 | ETA 08:53:18 2020-12-16 23:05:28 [INFO] [TRAIN] epoch=113, iter=41780/80000, loss=0.1575, lr=0.005144, batch_cost=0.8334, reader_cost=0.0005 | ETA 08:50:54 2020-12-16 23:05:36 [INFO] [TRAIN] epoch=113, iter=41790/80000, loss=0.1739, lr=0.005143, batch_cost=0.7858, reader_cost=0.0009 | ETA 08:20:25 2020-12-16 23:05:44 [INFO] [TRAIN] epoch=113, iter=41800/80000, loss=0.1897, lr=0.005141, batch_cost=0.8025, reader_cost=0.0001 | ETA 08:30:55 2020-12-16 23:05:52 [INFO] [TRAIN] epoch=113, iter=41810/80000, loss=0.1778, lr=0.005140, batch_cost=0.8506, reader_cost=0.0009 | ETA 09:01:25 2020-12-16 23:06:01 [INFO] [TRAIN] epoch=113, iter=41820/80000, loss=0.2551, lr=0.005139, batch_cost=0.8822, reader_cost=0.0019 | ETA 09:21:22 2020-12-16 23:06:10 [INFO] [TRAIN] epoch=113, iter=41830/80000, loss=0.1483, lr=0.005138, batch_cost=0.9377, reader_cost=0.0014 | ETA 09:56:33 2020-12-16 23:06:19 [INFO] [TRAIN] epoch=113, iter=41840/80000, loss=0.1922, lr=0.005137, batch_cost=0.8787, reader_cost=0.0019 | ETA 09:18:51 2020-12-16 23:06:28 [INFO] [TRAIN] epoch=113, iter=41850/80000, loss=0.1826, lr=0.005135, batch_cost=0.8738, reader_cost=0.0043 | ETA 09:15:35 2020-12-16 23:06:36 [INFO] [TRAIN] epoch=113, iter=41860/80000, loss=0.1554, lr=0.005134, batch_cost=0.7941, reader_cost=0.0030 | ETA 08:24:45 2020-12-16 23:06:44 [INFO] [TRAIN] epoch=113, iter=41870/80000, loss=0.2125, lr=0.005133, batch_cost=0.8111, reader_cost=0.0023 | ETA 08:35:28 2020-12-16 23:06:52 [INFO] [TRAIN] epoch=113, iter=41880/80000, loss=0.1619, lr=0.005132, batch_cost=0.8358, reader_cost=0.0008 | ETA 08:51:00 2020-12-16 23:07:01 [INFO] [TRAIN] epoch=113, iter=41890/80000, loss=0.1404, lr=0.005131, batch_cost=0.8658, reader_cost=0.0039 | ETA 09:09:54 2020-12-16 23:07:09 [INFO] [TRAIN] epoch=113, iter=41900/80000, loss=0.1831, lr=0.005129, batch_cost=0.8320, reader_cost=0.0005 | ETA 08:48:19 2020-12-16 23:07:17 [INFO] [TRAIN] epoch=113, iter=41910/80000, loss=0.1776, lr=0.005128, batch_cost=0.7719, reader_cost=0.0001 | ETA 08:10:01 2020-12-16 23:07:25 [INFO] [TRAIN] epoch=113, iter=41920/80000, loss=0.2257, lr=0.005127, batch_cost=0.7930, reader_cost=0.0004 | ETA 08:23:16 2020-12-16 23:07:34 [INFO] [TRAIN] epoch=113, iter=41930/80000, loss=0.1772, lr=0.005126, batch_cost=0.8492, reader_cost=0.0004 | ETA 08:58:47 2020-12-16 23:07:41 [INFO] [TRAIN] epoch=113, iter=41940/80000, loss=0.1441, lr=0.005124, batch_cost=0.7702, reader_cost=0.0108 | ETA 08:08:35 2020-12-16 23:07:49 [INFO] [TRAIN] epoch=113, iter=41950/80000, loss=0.1450, lr=0.005123, batch_cost=0.7967, reader_cost=0.0024 | ETA 08:25:15 2020-12-16 23:07:57 [INFO] [TRAIN] epoch=113, iter=41960/80000, loss=0.1814, lr=0.005122, batch_cost=0.8051, reader_cost=0.0049 | ETA 08:30:25 2020-12-16 23:08:05 [INFO] [TRAIN] epoch=113, iter=41970/80000, loss=0.1870, lr=0.005121, batch_cost=0.7864, reader_cost=0.0012 | ETA 08:18:27 2020-12-16 23:08:14 [INFO] [TRAIN] epoch=113, iter=41980/80000, loss=0.1924, lr=0.005120, batch_cost=0.8596, reader_cost=0.0005 | ETA 09:04:42 2020-12-16 23:08:22 [INFO] [TRAIN] epoch=113, iter=41990/80000, loss=0.1786, lr=0.005118, batch_cost=0.7863, reader_cost=0.0006 | ETA 08:18:05 2020-12-16 23:08:30 [INFO] [TRAIN] epoch=113, iter=42000/80000, loss=0.2072, lr=0.005117, batch_cost=0.8485, reader_cost=0.0015 | ETA 08:57:22 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 23:08:30 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 23:09:11 [INFO] [EVAL] #Images=500 mIoU=0.7766 Acc=0.9597 Kappa=0.9476 2020-12-16 23:09:11 [INFO] [EVAL] Class IoU: [0.9821 0.851 0.9216 0.5989 0.5962 0.5822 0.6939 0.7791 0.9224 0.6643 0.9449 0.8044 0.6096 0.9459 0.8288 0.8622 0.7951 0.607 0.7653] 2020-12-16 23:09:11 [INFO] [EVAL] Class Acc: [0.9908 0.9301 0.9495 0.8465 0.8117 0.7825 0.8224 0.8881 0.9566 0.822 0.9724 0.8789 0.7632 0.9699 0.9395 0.9199 0.9187 0.8731 0.8509] 2020-12-16 23:09:17 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-16 23:09:23 [INFO] [TRAIN] epoch=113, iter=42010/80000, loss=0.2449, lr=0.005116, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:40:24 2020-12-16 23:09:28 [INFO] [TRAIN] epoch=113, iter=42020/80000, loss=0.2145, lr=0.005115, batch_cost=0.5487, reader_cost=0.0001 | ETA 05:47:18 2020-12-16 23:09:34 [INFO] [TRAIN] epoch=113, iter=42030/80000, loss=0.1933, lr=0.005114, batch_cost=0.5407, reader_cost=0.0001 | ETA 05:42:10 2020-12-16 23:09:41 [INFO] [TRAIN] epoch=114, iter=42040/80000, loss=0.1661, lr=0.005112, batch_cost=0.7435, reader_cost=0.0753 | ETA 07:50:23 2020-12-16 23:09:49 [INFO] [TRAIN] epoch=114, iter=42050/80000, loss=0.1904, lr=0.005111, batch_cost=0.8141, reader_cost=0.0001 | ETA 08:34:55 2020-12-16 23:09:55 [INFO] [TRAIN] epoch=114, iter=42060/80000, loss=0.2694, lr=0.005110, batch_cost=0.5455, reader_cost=0.0001 | ETA 05:44:54 2020-12-16 23:10:00 [INFO] [TRAIN] epoch=114, iter=42070/80000, loss=0.1985, lr=0.005109, batch_cost=0.5749, reader_cost=0.0001 | ETA 06:03:26 2020-12-16 23:10:08 [INFO] [TRAIN] epoch=114, iter=42080/80000, loss=0.1491, lr=0.005108, batch_cost=0.7497, reader_cost=0.0005 | ETA 07:53:49 2020-12-16 23:10:16 [INFO] [TRAIN] epoch=114, iter=42090/80000, loss=0.2691, lr=0.005106, batch_cost=0.8022, reader_cost=0.0042 | ETA 08:26:49 2020-12-16 23:10:23 [INFO] [TRAIN] epoch=114, iter=42100/80000, loss=0.1446, lr=0.005105, batch_cost=0.7427, reader_cost=0.0001 | ETA 07:49:08 2020-12-16 23:10:32 [INFO] [TRAIN] epoch=114, iter=42110/80000, loss=0.1447, lr=0.005104, batch_cost=0.8322, reader_cost=0.0060 | ETA 08:45:30 2020-12-16 23:10:40 [INFO] [TRAIN] epoch=114, iter=42120/80000, loss=0.1951, lr=0.005103, batch_cost=0.8494, reader_cost=0.0001 | ETA 08:56:14 2020-12-16 23:10:48 [INFO] [TRAIN] epoch=114, iter=42130/80000, loss=0.1784, lr=0.005101, batch_cost=0.8157, reader_cost=0.0024 | ETA 08:34:50 2020-12-16 23:10:56 [INFO] [TRAIN] epoch=114, iter=42140/80000, loss=0.1393, lr=0.005100, batch_cost=0.7860, reader_cost=0.0035 | ETA 08:15:56 2020-12-16 23:11:03 [INFO] [TRAIN] epoch=114, iter=42150/80000, loss=0.1374, lr=0.005099, batch_cost=0.7086, reader_cost=0.0014 | ETA 07:26:59 2020-12-16 23:11:11 [INFO] [TRAIN] epoch=114, iter=42160/80000, loss=0.1555, lr=0.005098, batch_cost=0.7876, reader_cost=0.0041 | ETA 08:16:42 2020-12-16 23:11:19 [INFO] [TRAIN] epoch=114, iter=42170/80000, loss=0.1765, lr=0.005097, batch_cost=0.8095, reader_cost=0.0001 | ETA 08:30:25 2020-12-16 23:11:28 [INFO] [TRAIN] epoch=114, iter=42180/80000, loss=0.2278, lr=0.005095, batch_cost=0.8414, reader_cost=0.0052 | ETA 08:50:22 2020-12-16 23:11:35 [INFO] [TRAIN] epoch=114, iter=42190/80000, loss=0.2092, lr=0.005094, batch_cost=0.7584, reader_cost=0.0051 | ETA 07:57:56 2020-12-16 23:11:44 [INFO] [TRAIN] epoch=114, iter=42200/80000, loss=0.1672, lr=0.005093, batch_cost=0.8754, reader_cost=0.0030 | ETA 09:11:30 2020-12-16 23:11:52 [INFO] [TRAIN] epoch=114, iter=42210/80000, loss=0.2301, lr=0.005092, batch_cost=0.8400, reader_cost=0.0007 | ETA 08:49:02 2020-12-16 23:12:01 [INFO] [TRAIN] epoch=114, iter=42220/80000, loss=0.2460, lr=0.005091, batch_cost=0.8454, reader_cost=0.0004 | ETA 08:52:17 2020-12-16 23:12:09 [INFO] [TRAIN] epoch=114, iter=42230/80000, loss=0.2097, lr=0.005089, batch_cost=0.8703, reader_cost=0.0001 | ETA 09:07:51 2020-12-16 23:12:18 [INFO] [TRAIN] epoch=114, iter=42240/80000, loss=0.1669, lr=0.005088, batch_cost=0.8185, reader_cost=0.0005 | ETA 08:35:08 2020-12-16 23:12:25 [INFO] [TRAIN] epoch=114, iter=42250/80000, loss=0.1520, lr=0.005087, batch_cost=0.7426, reader_cost=0.0009 | ETA 07:47:14 2020-12-16 23:12:34 [INFO] [TRAIN] epoch=114, iter=42260/80000, loss=0.1834, lr=0.005086, batch_cost=0.9121, reader_cost=0.0014 | ETA 09:33:42 2020-12-16 23:12:42 [INFO] [TRAIN] epoch=114, iter=42270/80000, loss=0.2083, lr=0.005084, batch_cost=0.8007, reader_cost=0.0008 | ETA 08:23:31 2020-12-16 23:12:50 [INFO] [TRAIN] epoch=114, iter=42280/80000, loss=0.1549, lr=0.005083, batch_cost=0.8138, reader_cost=0.0053 | ETA 08:31:34 2020-12-16 23:12:59 [INFO] [TRAIN] epoch=114, iter=42290/80000, loss=0.2259, lr=0.005082, batch_cost=0.8573, reader_cost=0.0004 | ETA 08:58:47 2020-12-16 23:13:07 [INFO] [TRAIN] epoch=114, iter=42300/80000, loss=0.2174, lr=0.005081, batch_cost=0.8234, reader_cost=0.0007 | ETA 08:37:20 2020-12-16 23:13:16 [INFO] [TRAIN] epoch=114, iter=42310/80000, loss=0.2055, lr=0.005080, batch_cost=0.8433, reader_cost=0.0001 | ETA 08:49:42 2020-12-16 23:13:23 [INFO] [TRAIN] epoch=114, iter=42320/80000, loss=0.1679, lr=0.005078, batch_cost=0.7723, reader_cost=0.0064 | ETA 08:04:58 2020-12-16 23:13:31 [INFO] [TRAIN] epoch=114, iter=42330/80000, loss=0.1667, lr=0.005077, batch_cost=0.7651, reader_cost=0.0017 | ETA 08:00:19 2020-12-16 23:13:38 [INFO] [TRAIN] epoch=114, iter=42340/80000, loss=0.1379, lr=0.005076, batch_cost=0.6952, reader_cost=0.0046 | ETA 07:16:22 2020-12-16 23:13:45 [INFO] [TRAIN] epoch=114, iter=42350/80000, loss=0.1406, lr=0.005075, batch_cost=0.7514, reader_cost=0.0005 | ETA 07:51:31 2020-12-16 23:13:53 [INFO] [TRAIN] epoch=114, iter=42360/80000, loss=0.1660, lr=0.005074, batch_cost=0.7957, reader_cost=0.0012 | ETA 08:19:09 2020-12-16 23:14:01 [INFO] [TRAIN] epoch=114, iter=42370/80000, loss=0.2044, lr=0.005072, batch_cost=0.7957, reader_cost=0.0005 | ETA 08:19:03 2020-12-16 23:14:09 [INFO] [TRAIN] epoch=114, iter=42380/80000, loss=0.2112, lr=0.005071, batch_cost=0.7506, reader_cost=0.0004 | ETA 07:50:36 2020-12-16 23:14:16 [INFO] [TRAIN] epoch=114, iter=42390/80000, loss=0.1963, lr=0.005070, batch_cost=0.6949, reader_cost=0.0020 | ETA 07:15:33 2020-12-16 23:14:23 [INFO] [TRAIN] epoch=114, iter=42400/80000, loss=0.1699, lr=0.005069, batch_cost=0.7226, reader_cost=0.0005 | ETA 07:32:49 2020-12-16 23:14:30 [INFO] [TRAIN] epoch=115, iter=42410/80000, loss=0.2219, lr=0.005068, batch_cost=0.6960, reader_cost=0.0591 | ETA 07:16:03 2020-12-16 23:14:36 [INFO] [TRAIN] epoch=115, iter=42420/80000, loss=0.2172, lr=0.005066, batch_cost=0.5700, reader_cost=0.0003 | ETA 05:57:00 2020-12-16 23:14:42 [INFO] [TRAIN] epoch=115, iter=42430/80000, loss=0.1753, lr=0.005065, batch_cost=0.5809, reader_cost=0.0001 | ETA 06:03:45 2020-12-16 23:14:49 [INFO] [TRAIN] epoch=115, iter=42440/80000, loss=0.1775, lr=0.005064, batch_cost=0.7696, reader_cost=0.0013 | ETA 08:01:46 2020-12-16 23:14:57 [INFO] [TRAIN] epoch=115, iter=42450/80000, loss=0.1836, lr=0.005063, batch_cost=0.7820, reader_cost=0.0044 | ETA 08:09:24 2020-12-16 23:15:07 [INFO] [TRAIN] epoch=115, iter=42460/80000, loss=0.1657, lr=0.005061, batch_cost=0.9796, reader_cost=0.0011 | ETA 10:12:52 2020-12-16 23:15:16 [INFO] [TRAIN] epoch=115, iter=42470/80000, loss=0.1672, lr=0.005060, batch_cost=0.8840, reader_cost=0.0003 | ETA 09:12:56 2020-12-16 23:15:24 [INFO] [TRAIN] epoch=115, iter=42480/80000, loss=0.1546, lr=0.005059, batch_cost=0.8097, reader_cost=0.0006 | ETA 08:26:20 2020-12-16 23:15:32 [INFO] [TRAIN] epoch=115, iter=42490/80000, loss=0.2069, lr=0.005058, batch_cost=0.8086, reader_cost=0.0001 | ETA 08:25:32 2020-12-16 23:15:40 [INFO] [TRAIN] epoch=115, iter=42500/80000, loss=0.3534, lr=0.005057, batch_cost=0.8245, reader_cost=0.0001 | ETA 08:35:20 2020-12-16 23:15:48 [INFO] [TRAIN] epoch=115, iter=42510/80000, loss=0.3121, lr=0.005055, batch_cost=0.7801, reader_cost=0.0001 | ETA 08:07:26 2020-12-16 23:15:55 [INFO] [TRAIN] epoch=115, iter=42520/80000, loss=0.1777, lr=0.005054, batch_cost=0.7433, reader_cost=0.0046 | ETA 07:44:19 2020-12-16 23:16:02 [INFO] [TRAIN] epoch=115, iter=42530/80000, loss=0.1945, lr=0.005053, batch_cost=0.7030, reader_cost=0.0016 | ETA 07:19:03 2020-12-16 23:16:10 [INFO] [TRAIN] epoch=115, iter=42540/80000, loss=0.2007, lr=0.005052, batch_cost=0.7839, reader_cost=0.0012 | ETA 08:09:23 2020-12-16 23:16:17 [INFO] [TRAIN] epoch=115, iter=42550/80000, loss=0.1533, lr=0.005051, batch_cost=0.7199, reader_cost=0.0013 | ETA 07:29:21 2020-12-16 23:16:27 [INFO] [TRAIN] epoch=115, iter=42560/80000, loss=0.1545, lr=0.005049, batch_cost=0.9119, reader_cost=0.0013 | ETA 09:29:00 2020-12-16 23:16:35 [INFO] [TRAIN] epoch=115, iter=42570/80000, loss=0.1575, lr=0.005048, batch_cost=0.8077, reader_cost=0.0006 | ETA 08:23:50 2020-12-16 23:16:42 [INFO] [TRAIN] epoch=115, iter=42580/80000, loss=0.2111, lr=0.005047, batch_cost=0.7758, reader_cost=0.0009 | ETA 08:03:51 2020-12-16 23:16:51 [INFO] [TRAIN] epoch=115, iter=42590/80000, loss=0.2002, lr=0.005046, batch_cost=0.8139, reader_cost=0.0016 | ETA 08:27:26 2020-12-16 23:16:59 [INFO] [TRAIN] epoch=115, iter=42600/80000, loss=0.2426, lr=0.005044, batch_cost=0.8240, reader_cost=0.0002 | ETA 08:33:37 2020-12-16 23:17:07 [INFO] [TRAIN] epoch=115, iter=42610/80000, loss=0.1632, lr=0.005043, batch_cost=0.7767, reader_cost=0.0007 | ETA 08:03:59 2020-12-16 23:17:14 [INFO] [TRAIN] epoch=115, iter=42620/80000, loss=0.3197, lr=0.005042, batch_cost=0.7689, reader_cost=0.0009 | ETA 07:59:00 2020-12-16 23:17:23 [INFO] [TRAIN] epoch=115, iter=42630/80000, loss=0.1523, lr=0.005041, batch_cost=0.8370, reader_cost=0.0001 | ETA 08:41:20 2020-12-16 23:17:30 [INFO] [TRAIN] epoch=115, iter=42640/80000, loss=0.1594, lr=0.005040, batch_cost=0.7152, reader_cost=0.0011 | ETA 07:25:20 2020-12-16 23:17:39 [INFO] [TRAIN] epoch=115, iter=42650/80000, loss=0.1758, lr=0.005038, batch_cost=0.8789, reader_cost=0.0014 | ETA 09:07:05 2020-12-16 23:17:46 [INFO] [TRAIN] epoch=115, iter=42660/80000, loss=0.2092, lr=0.005037, batch_cost=0.7306, reader_cost=0.0001 | ETA 07:34:41 2020-12-16 23:17:54 [INFO] [TRAIN] epoch=115, iter=42670/80000, loss=0.1512, lr=0.005036, batch_cost=0.7971, reader_cost=0.0021 | ETA 08:15:56 2020-12-16 23:18:02 [INFO] [TRAIN] epoch=115, iter=42680/80000, loss=0.1921, lr=0.005035, batch_cost=0.8181, reader_cost=0.0015 | ETA 08:28:50 2020-12-16 23:18:10 [INFO] [TRAIN] epoch=115, iter=42690/80000, loss=0.2470, lr=0.005034, batch_cost=0.8107, reader_cost=0.0041 | ETA 08:24:08 2020-12-16 23:18:17 [INFO] [TRAIN] epoch=115, iter=42700/80000, loss=0.1755, lr=0.005032, batch_cost=0.7307, reader_cost=0.0014 | ETA 07:34:15 2020-12-16 23:18:25 [INFO] [TRAIN] epoch=115, iter=42710/80000, loss=0.2514, lr=0.005031, batch_cost=0.7603, reader_cost=0.0001 | ETA 07:52:30 2020-12-16 23:18:33 [INFO] [TRAIN] epoch=115, iter=42720/80000, loss=0.2008, lr=0.005030, batch_cost=0.8285, reader_cost=0.0028 | ETA 08:34:45 2020-12-16 23:18:42 [INFO] [TRAIN] epoch=115, iter=42730/80000, loss=0.2233, lr=0.005029, batch_cost=0.8505, reader_cost=0.0001 | ETA 08:48:16 2020-12-16 23:18:51 [INFO] [TRAIN] epoch=115, iter=42740/80000, loss=0.1964, lr=0.005027, batch_cost=0.8724, reader_cost=0.0039 | ETA 09:01:45 2020-12-16 23:18:59 [INFO] [TRAIN] epoch=115, iter=42750/80000, loss=0.2104, lr=0.005026, batch_cost=0.8292, reader_cost=0.0018 | ETA 08:34:49 2020-12-16 23:19:08 [INFO] [TRAIN] epoch=115, iter=42760/80000, loss=0.1914, lr=0.005025, batch_cost=0.8962, reader_cost=0.0019 | ETA 09:16:15 2020-12-16 23:19:13 [INFO] [TRAIN] epoch=115, iter=42770/80000, loss=0.2366, lr=0.005024, batch_cost=0.5428, reader_cost=0.0002 | ETA 05:36:48 2020-12-16 23:19:18 [INFO] [TRAIN] epoch=115, iter=42780/80000, loss=0.1944, lr=0.005023, batch_cost=0.5211, reader_cost=0.0005 | ETA 05:23:14 2020-12-16 23:19:27 [INFO] [TRAIN] epoch=116, iter=42790/80000, loss=0.1530, lr=0.005021, batch_cost=0.8939, reader_cost=0.0595 | ETA 09:14:22 2020-12-16 23:19:37 [INFO] [TRAIN] epoch=116, iter=42800/80000, loss=0.1562, lr=0.005020, batch_cost=0.9145, reader_cost=0.0007 | ETA 09:26:59 2020-12-16 23:19:45 [INFO] [TRAIN] epoch=116, iter=42810/80000, loss=0.1939, lr=0.005019, batch_cost=0.8161, reader_cost=0.0006 | ETA 08:25:49 2020-12-16 23:19:52 [INFO] [TRAIN] epoch=116, iter=42820/80000, loss=0.2104, lr=0.005018, batch_cost=0.7784, reader_cost=0.0001 | ETA 08:02:20 2020-12-16 23:20:00 [INFO] [TRAIN] epoch=116, iter=42830/80000, loss=0.1691, lr=0.005017, batch_cost=0.7915, reader_cost=0.0014 | ETA 08:10:18 2020-12-16 23:20:09 [INFO] [TRAIN] epoch=116, iter=42840/80000, loss=0.1960, lr=0.005015, batch_cost=0.8566, reader_cost=0.0012 | ETA 08:50:32 2020-12-16 23:20:16 [INFO] [TRAIN] epoch=116, iter=42850/80000, loss=0.1543, lr=0.005014, batch_cost=0.7213, reader_cost=0.0001 | ETA 07:26:34 2020-12-16 23:20:24 [INFO] [TRAIN] epoch=116, iter=42860/80000, loss=0.1572, lr=0.005013, batch_cost=0.8254, reader_cost=0.0001 | ETA 08:30:54 2020-12-16 23:20:32 [INFO] [TRAIN] epoch=116, iter=42870/80000, loss=0.1760, lr=0.005012, batch_cost=0.7802, reader_cost=0.0001 | ETA 08:02:48 2020-12-16 23:20:41 [INFO] [TRAIN] epoch=116, iter=42880/80000, loss=0.1902, lr=0.005010, batch_cost=0.8495, reader_cost=0.0007 | ETA 08:45:34 2020-12-16 23:20:50 [INFO] [TRAIN] epoch=116, iter=42890/80000, loss=0.1951, lr=0.005009, batch_cost=0.8838, reader_cost=0.0001 | ETA 09:06:38 2020-12-16 23:20:58 [INFO] [TRAIN] epoch=116, iter=42900/80000, loss=0.1738, lr=0.005008, batch_cost=0.8911, reader_cost=0.0009 | ETA 09:11:00 2020-12-16 23:21:06 [INFO] [TRAIN] epoch=116, iter=42910/80000, loss=0.1985, lr=0.005007, batch_cost=0.7779, reader_cost=0.0034 | ETA 08:00:51 2020-12-16 23:21:14 [INFO] [TRAIN] epoch=116, iter=42920/80000, loss=0.1508, lr=0.005006, batch_cost=0.8134, reader_cost=0.0018 | ETA 08:22:42 2020-12-16 23:21:23 [INFO] [TRAIN] epoch=116, iter=42930/80000, loss=0.2278, lr=0.005004, batch_cost=0.8717, reader_cost=0.0001 | ETA 08:58:34 2020-12-16 23:21:32 [INFO] [TRAIN] epoch=116, iter=42940/80000, loss=0.1723, lr=0.005003, batch_cost=0.8485, reader_cost=0.0017 | ETA 08:44:06 2020-12-16 23:21:39 [INFO] [TRAIN] epoch=116, iter=42950/80000, loss=0.1619, lr=0.005002, batch_cost=0.7644, reader_cost=0.0014 | ETA 07:52:00 2020-12-16 23:21:47 [INFO] [TRAIN] epoch=116, iter=42960/80000, loss=0.1612, lr=0.005001, batch_cost=0.7844, reader_cost=0.0001 | ETA 08:04:13 2020-12-16 23:21:55 [INFO] [TRAIN] epoch=116, iter=42970/80000, loss=0.1801, lr=0.005000, batch_cost=0.8248, reader_cost=0.0004 | ETA 08:29:02 2020-12-16 23:22:03 [INFO] [TRAIN] epoch=116, iter=42980/80000, loss=0.2212, lr=0.004998, batch_cost=0.7449, reader_cost=0.0002 | ETA 07:39:37 2020-12-16 23:22:10 [INFO] [TRAIN] epoch=116, iter=42990/80000, loss=0.2129, lr=0.004997, batch_cost=0.7418, reader_cost=0.0010 | ETA 07:37:34 2020-12-16 23:22:18 [INFO] [TRAIN] epoch=116, iter=43000/80000, loss=0.1884, lr=0.004996, batch_cost=0.7665, reader_cost=0.0045 | ETA 07:52:39 aug_eval False scales 1.0 2020-12-16 23:22:18 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 23:23:01 [INFO] [EVAL] #Images=500 mIoU=0.7732 Acc=0.9583 Kappa=0.9459 2020-12-16 23:23:01 [INFO] [EVAL] Class IoU: [0.9804 0.8404 0.9192 0.5583 0.5908 0.5692 0.6956 0.753 0.9211 0.6361 0.9455 0.8059 0.6032 0.9464 0.8548 0.8506 0.8118 0.6399 0.7679] 2020-12-16 23:23:01 [INFO] [EVAL] Class Acc: [0.9896 0.9211 0.9484 0.829 0.809 0.8037 0.8291 0.9272 0.9468 0.8893 0.9719 0.8856 0.81 0.9704 0.9372 0.9275 0.9476 0.7869 0.8638] 2020-12-16 23:23:05 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-16 23:23:13 [INFO] [TRAIN] epoch=116, iter=43010/80000, loss=0.1477, lr=0.004995, batch_cost=0.7674, reader_cost=0.0003 | ETA 07:53:07 2020-12-16 23:23:21 [INFO] [TRAIN] epoch=116, iter=43020/80000, loss=0.1664, lr=0.004993, batch_cost=0.7645, reader_cost=0.0008 | ETA 07:51:10 2020-12-16 23:23:28 [INFO] [TRAIN] epoch=116, iter=43030/80000, loss=0.1848, lr=0.004992, batch_cost=0.7815, reader_cost=0.0007 | ETA 08:01:32 2020-12-16 23:23:36 [INFO] [TRAIN] epoch=116, iter=43040/80000, loss=0.1735, lr=0.004991, batch_cost=0.7584, reader_cost=0.0008 | ETA 07:47:09 2020-12-16 23:23:44 [INFO] [TRAIN] epoch=116, iter=43050/80000, loss=0.1614, lr=0.004990, batch_cost=0.7599, reader_cost=0.0001 | ETA 07:47:59 2020-12-16 23:23:49 [INFO] [TRAIN] epoch=116, iter=43060/80000, loss=0.1865, lr=0.004989, batch_cost=0.5648, reader_cost=0.0001 | ETA 05:47:44 2020-12-16 23:23:55 [INFO] [TRAIN] epoch=116, iter=43070/80000, loss=0.2405, lr=0.004987, batch_cost=0.6059, reader_cost=0.0001 | ETA 06:12:55 2020-12-16 23:24:03 [INFO] [TRAIN] epoch=116, iter=43080/80000, loss=0.1703, lr=0.004986, batch_cost=0.7740, reader_cost=0.0031 | ETA 07:56:14 2020-12-16 23:24:12 [INFO] [TRAIN] epoch=116, iter=43090/80000, loss=0.1046, lr=0.004985, batch_cost=0.8784, reader_cost=0.0043 | ETA 09:00:22 2020-12-16 23:24:20 [INFO] [TRAIN] epoch=116, iter=43100/80000, loss=0.2143, lr=0.004984, batch_cost=0.8511, reader_cost=0.0022 | ETA 08:43:24 2020-12-16 23:24:29 [INFO] [TRAIN] epoch=116, iter=43110/80000, loss=0.2252, lr=0.004983, batch_cost=0.8383, reader_cost=0.0001 | ETA 08:35:25 2020-12-16 23:24:37 [INFO] [TRAIN] epoch=116, iter=43120/80000, loss=0.2050, lr=0.004981, batch_cost=0.8112, reader_cost=0.0001 | ETA 08:18:36 2020-12-16 23:24:45 [INFO] [TRAIN] epoch=116, iter=43130/80000, loss=0.1766, lr=0.004980, batch_cost=0.8255, reader_cost=0.0003 | ETA 08:27:15 2020-12-16 23:24:53 [INFO] [TRAIN] epoch=116, iter=43140/80000, loss=0.1693, lr=0.004979, batch_cost=0.8177, reader_cost=0.0009 | ETA 08:22:20 2020-12-16 23:24:59 [INFO] [TRAIN] epoch=116, iter=43150/80000, loss=0.2146, lr=0.004978, batch_cost=0.6195, reader_cost=0.0016 | ETA 06:20:27 2020-12-16 23:25:08 [INFO] [TRAIN] epoch=117, iter=43160/80000, loss=0.1675, lr=0.004976, batch_cost=0.8647, reader_cost=0.0639 | ETA 08:50:53 2020-12-16 23:25:16 [INFO] [TRAIN] epoch=117, iter=43170/80000, loss=0.1600, lr=0.004975, batch_cost=0.7756, reader_cost=0.0001 | ETA 07:56:04 2020-12-16 23:25:24 [INFO] [TRAIN] epoch=117, iter=43180/80000, loss=0.1787, lr=0.004974, batch_cost=0.8480, reader_cost=0.0002 | ETA 08:40:24 2020-12-16 23:25:32 [INFO] [TRAIN] epoch=117, iter=43190/80000, loss=0.2130, lr=0.004973, batch_cost=0.7932, reader_cost=0.0001 | ETA 08:06:36 2020-12-16 23:25:41 [INFO] [TRAIN] epoch=117, iter=43200/80000, loss=0.1679, lr=0.004972, batch_cost=0.8755, reader_cost=0.0017 | ETA 08:56:58 2020-12-16 23:25:49 [INFO] [TRAIN] epoch=117, iter=43210/80000, loss=0.2882, lr=0.004970, batch_cost=0.7689, reader_cost=0.0002 | ETA 07:51:26 2020-12-16 23:25:57 [INFO] [TRAIN] epoch=117, iter=43220/80000, loss=0.2304, lr=0.004969, batch_cost=0.7983, reader_cost=0.0010 | ETA 08:09:19 2020-12-16 23:26:04 [INFO] [TRAIN] epoch=117, iter=43230/80000, loss=0.2251, lr=0.004968, batch_cost=0.7740, reader_cost=0.0033 | ETA 07:54:20 2020-12-16 23:26:12 [INFO] [TRAIN] epoch=117, iter=43240/80000, loss=0.1739, lr=0.004967, batch_cost=0.7777, reader_cost=0.0001 | ETA 07:56:28 2020-12-16 23:26:20 [INFO] [TRAIN] epoch=117, iter=43250/80000, loss=0.1820, lr=0.004965, batch_cost=0.7481, reader_cost=0.0008 | ETA 07:38:13 2020-12-16 23:26:28 [INFO] [TRAIN] epoch=117, iter=43260/80000, loss=0.1740, lr=0.004964, batch_cost=0.8041, reader_cost=0.0024 | ETA 08:12:23 2020-12-16 23:26:35 [INFO] [TRAIN] epoch=117, iter=43270/80000, loss=0.2179, lr=0.004963, batch_cost=0.7625, reader_cost=0.0006 | ETA 07:46:46 2020-12-16 23:26:44 [INFO] [TRAIN] epoch=117, iter=43280/80000, loss=0.1278, lr=0.004962, batch_cost=0.8296, reader_cost=0.0009 | ETA 08:27:42 2020-12-16 23:26:52 [INFO] [TRAIN] epoch=117, iter=43290/80000, loss=0.1510, lr=0.004961, batch_cost=0.7878, reader_cost=0.0022 | ETA 08:02:01 2020-12-16 23:26:59 [INFO] [TRAIN] epoch=117, iter=43300/80000, loss=0.1215, lr=0.004959, batch_cost=0.7192, reader_cost=0.0001 | ETA 07:19:53 2020-12-16 23:27:06 [INFO] [TRAIN] epoch=117, iter=43310/80000, loss=0.1719, lr=0.004958, batch_cost=0.7463, reader_cost=0.0029 | ETA 07:36:22 2020-12-16 23:27:14 [INFO] [TRAIN] epoch=117, iter=43320/80000, loss=0.1746, lr=0.004957, batch_cost=0.7923, reader_cost=0.0001 | ETA 08:04:22 2020-12-16 23:27:23 [INFO] [TRAIN] epoch=117, iter=43330/80000, loss=0.1873, lr=0.004956, batch_cost=0.8456, reader_cost=0.0004 | ETA 08:36:48 2020-12-16 23:27:31 [INFO] [TRAIN] epoch=117, iter=43340/80000, loss=0.2137, lr=0.004955, batch_cost=0.8316, reader_cost=0.0030 | ETA 08:28:07 2020-12-16 23:27:38 [INFO] [TRAIN] epoch=117, iter=43350/80000, loss=0.2632, lr=0.004953, batch_cost=0.7259, reader_cost=0.0001 | ETA 07:23:25 2020-12-16 23:27:46 [INFO] [TRAIN] epoch=117, iter=43360/80000, loss=0.1724, lr=0.004952, batch_cost=0.8113, reader_cost=0.0020 | ETA 08:15:26 2020-12-16 23:27:54 [INFO] [TRAIN] epoch=117, iter=43370/80000, loss=0.1569, lr=0.004951, batch_cost=0.7566, reader_cost=0.0001 | ETA 07:41:53 2020-12-16 23:28:02 [INFO] [TRAIN] epoch=117, iter=43380/80000, loss=0.2082, lr=0.004950, batch_cost=0.8523, reader_cost=0.0001 | ETA 08:40:12 2020-12-16 23:28:10 [INFO] [TRAIN] epoch=117, iter=43390/80000, loss=0.2334, lr=0.004948, batch_cost=0.8013, reader_cost=0.0060 | ETA 08:08:56 2020-12-16 23:28:19 [INFO] [TRAIN] epoch=117, iter=43400/80000, loss=0.2481, lr=0.004947, batch_cost=0.8323, reader_cost=0.0018 | ETA 08:27:42 2020-12-16 23:28:26 [INFO] [TRAIN] epoch=117, iter=43410/80000, loss=0.1195, lr=0.004946, batch_cost=0.6806, reader_cost=0.0007 | ETA 06:55:04 2020-12-16 23:28:31 [INFO] [TRAIN] epoch=117, iter=43420/80000, loss=0.1529, lr=0.004945, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:27:33 2020-12-16 23:28:38 [INFO] [TRAIN] epoch=117, iter=43430/80000, loss=0.1365, lr=0.004944, batch_cost=0.6768, reader_cost=0.0037 | ETA 06:52:31 2020-12-16 23:28:47 [INFO] [TRAIN] epoch=117, iter=43440/80000, loss=0.2080, lr=0.004942, batch_cost=0.9103, reader_cost=0.0007 | ETA 09:14:39 2020-12-16 23:28:54 [INFO] [TRAIN] epoch=117, iter=43450/80000, loss=0.1988, lr=0.004941, batch_cost=0.7716, reader_cost=0.0021 | ETA 07:50:03 2020-12-16 23:29:02 [INFO] [TRAIN] epoch=117, iter=43460/80000, loss=0.1447, lr=0.004940, batch_cost=0.7746, reader_cost=0.0040 | ETA 07:51:44 2020-12-16 23:29:10 [INFO] [TRAIN] epoch=117, iter=43470/80000, loss=0.1602, lr=0.004939, batch_cost=0.7825, reader_cost=0.0001 | ETA 07:56:26 2020-12-16 23:29:18 [INFO] [TRAIN] epoch=117, iter=43480/80000, loss=0.1850, lr=0.004938, batch_cost=0.7737, reader_cost=0.0023 | ETA 07:50:57 2020-12-16 23:29:25 [INFO] [TRAIN] epoch=117, iter=43490/80000, loss=0.1588, lr=0.004936, batch_cost=0.7577, reader_cost=0.0006 | ETA 07:41:01 2020-12-16 23:29:33 [INFO] [TRAIN] epoch=117, iter=43500/80000, loss=0.1802, lr=0.004935, batch_cost=0.7913, reader_cost=0.0034 | ETA 08:01:23 2020-12-16 23:29:42 [INFO] [TRAIN] epoch=117, iter=43510/80000, loss=0.1548, lr=0.004934, batch_cost=0.8685, reader_cost=0.0025 | ETA 08:48:09 2020-12-16 23:29:50 [INFO] [TRAIN] epoch=117, iter=43520/80000, loss=0.2082, lr=0.004933, batch_cost=0.8314, reader_cost=0.0010 | ETA 08:25:27 2020-12-16 23:29:58 [INFO] [TRAIN] epoch=118, iter=43530/80000, loss=0.2165, lr=0.004931, batch_cost=0.7537, reader_cost=0.0465 | ETA 07:38:07 2020-12-16 23:30:07 [INFO] [TRAIN] epoch=118, iter=43540/80000, loss=0.2210, lr=0.004930, batch_cost=0.9623, reader_cost=0.0005 | ETA 09:44:46 2020-12-16 23:30:15 [INFO] [TRAIN] epoch=118, iter=43550/80000, loss=0.1516, lr=0.004929, batch_cost=0.8042, reader_cost=0.0013 | ETA 08:08:32 2020-12-16 23:30:24 [INFO] [TRAIN] epoch=118, iter=43560/80000, loss=0.1628, lr=0.004928, batch_cost=0.8573, reader_cost=0.0003 | ETA 08:40:38 2020-12-16 23:30:33 [INFO] [TRAIN] epoch=118, iter=43570/80000, loss=0.1979, lr=0.004927, batch_cost=0.8817, reader_cost=0.0059 | ETA 08:55:19 2020-12-16 23:30:41 [INFO] [TRAIN] epoch=118, iter=43580/80000, loss=0.1531, lr=0.004925, batch_cost=0.8164, reader_cost=0.0049 | ETA 08:15:35 2020-12-16 23:30:49 [INFO] [TRAIN] epoch=118, iter=43590/80000, loss=0.1977, lr=0.004924, batch_cost=0.8241, reader_cost=0.0003 | ETA 08:20:05 2020-12-16 23:30:57 [INFO] [TRAIN] epoch=118, iter=43600/80000, loss=0.2684, lr=0.004923, batch_cost=0.7907, reader_cost=0.0001 | ETA 07:59:42 2020-12-16 23:31:04 [INFO] [TRAIN] epoch=118, iter=43610/80000, loss=0.1329, lr=0.004922, batch_cost=0.7189, reader_cost=0.0017 | ETA 07:16:01 2020-12-16 23:31:12 [INFO] [TRAIN] epoch=118, iter=43620/80000, loss=0.1635, lr=0.004920, batch_cost=0.7864, reader_cost=0.0001 | ETA 07:56:48 2020-12-16 23:31:20 [INFO] [TRAIN] epoch=118, iter=43630/80000, loss=0.2091, lr=0.004919, batch_cost=0.7738, reader_cost=0.0011 | ETA 07:49:02 2020-12-16 23:31:28 [INFO] [TRAIN] epoch=118, iter=43640/80000, loss=0.1123, lr=0.004918, batch_cost=0.8491, reader_cost=0.0024 | ETA 08:34:31 2020-12-16 23:31:38 [INFO] [TRAIN] epoch=118, iter=43650/80000, loss=0.1952, lr=0.004917, batch_cost=0.9083, reader_cost=0.0021 | ETA 09:10:15 2020-12-16 23:31:46 [INFO] [TRAIN] epoch=118, iter=43660/80000, loss=0.1333, lr=0.004916, batch_cost=0.7988, reader_cost=0.0005 | ETA 08:03:48 2020-12-16 23:31:54 [INFO] [TRAIN] epoch=118, iter=43670/80000, loss=0.1910, lr=0.004914, batch_cost=0.8786, reader_cost=0.0007 | ETA 08:52:00 2020-12-16 23:32:03 [INFO] [TRAIN] epoch=118, iter=43680/80000, loss=0.1772, lr=0.004913, batch_cost=0.8285, reader_cost=0.0020 | ETA 08:21:31 2020-12-16 23:32:10 [INFO] [TRAIN] epoch=118, iter=43690/80000, loss=0.2092, lr=0.004912, batch_cost=0.7515, reader_cost=0.0010 | ETA 07:34:48 2020-12-16 23:32:19 [INFO] [TRAIN] epoch=118, iter=43700/80000, loss=0.1779, lr=0.004911, batch_cost=0.8343, reader_cost=0.0008 | ETA 08:24:46 2020-12-16 23:32:27 [INFO] [TRAIN] epoch=118, iter=43710/80000, loss=0.1874, lr=0.004910, batch_cost=0.8101, reader_cost=0.0001 | ETA 08:09:59 2020-12-16 23:32:34 [INFO] [TRAIN] epoch=118, iter=43720/80000, loss=0.3597, lr=0.004908, batch_cost=0.7246, reader_cost=0.0028 | ETA 07:18:09 2020-12-16 23:32:42 [INFO] [TRAIN] epoch=118, iter=43730/80000, loss=0.1623, lr=0.004907, batch_cost=0.7793, reader_cost=0.0001 | ETA 07:51:05 2020-12-16 23:32:50 [INFO] [TRAIN] epoch=118, iter=43740/80000, loss=0.2669, lr=0.004906, batch_cost=0.7826, reader_cost=0.0001 | ETA 07:52:56 2020-12-16 23:32:58 [INFO] [TRAIN] epoch=118, iter=43750/80000, loss=0.1599, lr=0.004905, batch_cost=0.8247, reader_cost=0.0021 | ETA 08:18:14 2020-12-16 23:33:04 [INFO] [TRAIN] epoch=118, iter=43760/80000, loss=0.1434, lr=0.004903, batch_cost=0.6414, reader_cost=0.0030 | ETA 06:27:22 2020-12-16 23:33:10 [INFO] [TRAIN] epoch=118, iter=43770/80000, loss=0.2075, lr=0.004902, batch_cost=0.5551, reader_cost=0.0004 | ETA 05:35:10 2020-12-16 23:33:17 [INFO] [TRAIN] epoch=118, iter=43780/80000, loss=0.2355, lr=0.004901, batch_cost=0.6982, reader_cost=0.0042 | ETA 07:01:29 2020-12-16 23:33:25 [INFO] [TRAIN] epoch=118, iter=43790/80000, loss=0.1978, lr=0.004900, batch_cost=0.8355, reader_cost=0.0013 | ETA 08:24:13 2020-12-16 23:33:34 [INFO] [TRAIN] epoch=118, iter=43800/80000, loss=0.2069, lr=0.004899, batch_cost=0.8452, reader_cost=0.0010 | ETA 08:29:54 2020-12-16 23:33:42 [INFO] [TRAIN] epoch=118, iter=43810/80000, loss=0.2698, lr=0.004897, batch_cost=0.8654, reader_cost=0.0049 | ETA 08:41:57 2020-12-16 23:33:50 [INFO] [TRAIN] epoch=118, iter=43820/80000, loss=0.2956, lr=0.004896, batch_cost=0.8223, reader_cost=0.0020 | ETA 08:15:49 2020-12-16 23:33:58 [INFO] [TRAIN] epoch=118, iter=43830/80000, loss=0.2086, lr=0.004895, batch_cost=0.8093, reader_cost=0.0018 | ETA 08:07:51 2020-12-16 23:34:07 [INFO] [TRAIN] epoch=118, iter=43840/80000, loss=0.2039, lr=0.004894, batch_cost=0.8580, reader_cost=0.0005 | ETA 08:37:06 2020-12-16 23:34:14 [INFO] [TRAIN] epoch=118, iter=43850/80000, loss=0.1765, lr=0.004892, batch_cost=0.7427, reader_cost=0.0001 | ETA 07:27:28 2020-12-16 23:34:22 [INFO] [TRAIN] epoch=118, iter=43860/80000, loss=0.1652, lr=0.004891, batch_cost=0.7613, reader_cost=0.0072 | ETA 07:38:31 2020-12-16 23:34:29 [INFO] [TRAIN] epoch=118, iter=43870/80000, loss=0.1551, lr=0.004890, batch_cost=0.7402, reader_cost=0.0003 | ETA 07:25:43 2020-12-16 23:34:35 [INFO] [TRAIN] epoch=118, iter=43880/80000, loss=0.1716, lr=0.004889, batch_cost=0.5527, reader_cost=0.0001 | ETA 05:32:42 2020-12-16 23:34:40 [INFO] [TRAIN] epoch=118, iter=43890/80000, loss=0.1799, lr=0.004888, batch_cost=0.5428, reader_cost=0.0001 | ETA 05:26:40 2020-12-16 23:34:46 [INFO] [TRAIN] epoch=119, iter=43900/80000, loss=0.1287, lr=0.004886, batch_cost=0.5847, reader_cost=0.0689 | ETA 05:51:48 2020-12-16 23:34:52 [INFO] [TRAIN] epoch=119, iter=43910/80000, loss=0.2564, lr=0.004885, batch_cost=0.5811, reader_cost=0.0001 | ETA 05:49:32 2020-12-16 23:34:58 [INFO] [TRAIN] epoch=119, iter=43920/80000, loss=0.2197, lr=0.004884, batch_cost=0.5585, reader_cost=0.0001 | ETA 05:35:49 2020-12-16 23:35:03 [INFO] [TRAIN] epoch=119, iter=43930/80000, loss=0.2002, lr=0.004883, batch_cost=0.5548, reader_cost=0.0003 | ETA 05:33:33 2020-12-16 23:35:10 [INFO] [TRAIN] epoch=119, iter=43940/80000, loss=0.2374, lr=0.004881, batch_cost=0.7153, reader_cost=0.0001 | ETA 07:09:54 2020-12-16 23:35:18 [INFO] [TRAIN] epoch=119, iter=43950/80000, loss=0.2043, lr=0.004880, batch_cost=0.7713, reader_cost=0.0001 | ETA 07:43:24 2020-12-16 23:35:26 [INFO] [TRAIN] epoch=119, iter=43960/80000, loss=0.1674, lr=0.004879, batch_cost=0.7980, reader_cost=0.0001 | ETA 07:59:18 2020-12-16 23:35:34 [INFO] [TRAIN] epoch=119, iter=43970/80000, loss=0.3724, lr=0.004878, batch_cost=0.7822, reader_cost=0.0004 | ETA 07:49:44 2020-12-16 23:35:42 [INFO] [TRAIN] epoch=119, iter=43980/80000, loss=0.1784, lr=0.004877, batch_cost=0.7881, reader_cost=0.0007 | ETA 07:53:07 2020-12-16 23:35:50 [INFO] [TRAIN] epoch=119, iter=43990/80000, loss=0.2159, lr=0.004875, batch_cost=0.7835, reader_cost=0.0021 | ETA 07:50:12 2020-12-16 23:35:58 [INFO] [TRAIN] epoch=119, iter=44000/80000, loss=0.1932, lr=0.004874, batch_cost=0.8096, reader_cost=0.0010 | ETA 08:05:47 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 23:35:58 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 23:36:40 [INFO] [EVAL] #Images=500 mIoU=0.7644 Acc=0.9588 Kappa=0.9466 2020-12-16 23:36:40 [INFO] [EVAL] Class IoU: [0.9813 0.8484 0.9217 0.575 0.6034 0.5877 0.6941 0.7727 0.9223 0.6505 0.9453 0.8071 0.6066 0.9477 0.6832 0.7858 0.8234 0.604 0.7637] 2020-12-16 23:36:40 [INFO] [EVAL] Class Acc: [0.992 0.911 0.9557 0.8116 0.8132 0.77 0.8257 0.9048 0.9499 0.8518 0.9709 0.8963 0.7112 0.9718 0.7484 0.9575 0.9457 0.7882 0.8661] 2020-12-16 23:36:45 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-16 23:36:53 [INFO] [TRAIN] epoch=119, iter=44010/80000, loss=0.1820, lr=0.004873, batch_cost=0.7890, reader_cost=0.0003 | ETA 07:53:15 2020-12-16 23:37:01 [INFO] [TRAIN] epoch=119, iter=44020/80000, loss=0.2104, lr=0.004872, batch_cost=0.8030, reader_cost=0.0001 | ETA 08:01:30 2020-12-16 23:37:09 [INFO] [TRAIN] epoch=119, iter=44030/80000, loss=0.2108, lr=0.004871, batch_cost=0.7936, reader_cost=0.0028 | ETA 07:55:45 2020-12-16 23:37:16 [INFO] [TRAIN] epoch=119, iter=44040/80000, loss=0.2377, lr=0.004869, batch_cost=0.6891, reader_cost=0.0001 | ETA 06:53:01 2020-12-16 23:37:23 [INFO] [TRAIN] epoch=119, iter=44050/80000, loss=0.1354, lr=0.004868, batch_cost=0.7673, reader_cost=0.0003 | ETA 07:39:44 2020-12-16 23:37:30 [INFO] [TRAIN] epoch=119, iter=44060/80000, loss=0.1799, lr=0.004867, batch_cost=0.7112, reader_cost=0.0012 | ETA 07:06:01 2020-12-16 23:37:38 [INFO] [TRAIN] epoch=119, iter=44070/80000, loss=0.1611, lr=0.004866, batch_cost=0.7935, reader_cost=0.0004 | ETA 07:55:09 2020-12-16 23:37:47 [INFO] [TRAIN] epoch=119, iter=44080/80000, loss=0.1442, lr=0.004864, batch_cost=0.8208, reader_cost=0.0001 | ETA 08:11:24 2020-12-16 23:37:54 [INFO] [TRAIN] epoch=119, iter=44090/80000, loss=0.1870, lr=0.004863, batch_cost=0.7265, reader_cost=0.0001 | ETA 07:14:47 2020-12-16 23:38:02 [INFO] [TRAIN] epoch=119, iter=44100/80000, loss=0.1339, lr=0.004862, batch_cost=0.8075, reader_cost=0.0035 | ETA 08:03:09 2020-12-16 23:38:10 [INFO] [TRAIN] epoch=119, iter=44110/80000, loss=0.2187, lr=0.004861, batch_cost=0.7793, reader_cost=0.0017 | ETA 07:46:08 2020-12-16 23:38:16 [INFO] [TRAIN] epoch=119, iter=44120/80000, loss=0.1756, lr=0.004860, batch_cost=0.6125, reader_cost=0.0006 | ETA 06:06:16 2020-12-16 23:38:21 [INFO] [TRAIN] epoch=119, iter=44130/80000, loss=0.1466, lr=0.004858, batch_cost=0.5546, reader_cost=0.0001 | ETA 05:31:33 2020-12-16 23:38:29 [INFO] [TRAIN] epoch=119, iter=44140/80000, loss=0.1767, lr=0.004857, batch_cost=0.7394, reader_cost=0.0023 | ETA 07:21:55 2020-12-16 23:38:37 [INFO] [TRAIN] epoch=119, iter=44150/80000, loss=0.1648, lr=0.004856, batch_cost=0.7879, reader_cost=0.0021 | ETA 07:50:46 2020-12-16 23:38:45 [INFO] [TRAIN] epoch=119, iter=44160/80000, loss=0.2247, lr=0.004855, batch_cost=0.8009, reader_cost=0.0001 | ETA 07:58:24 2020-12-16 23:38:52 [INFO] [TRAIN] epoch=119, iter=44170/80000, loss=0.3641, lr=0.004853, batch_cost=0.7623, reader_cost=0.0001 | ETA 07:35:12 2020-12-16 23:39:01 [INFO] [TRAIN] epoch=119, iter=44180/80000, loss=0.2018, lr=0.004852, batch_cost=0.8252, reader_cost=0.0015 | ETA 08:12:38 2020-12-16 23:39:08 [INFO] [TRAIN] epoch=119, iter=44190/80000, loss=0.2445, lr=0.004851, batch_cost=0.7638, reader_cost=0.0025 | ETA 07:35:53 2020-12-16 23:39:16 [INFO] [TRAIN] epoch=119, iter=44200/80000, loss=0.1672, lr=0.004850, batch_cost=0.7325, reader_cost=0.0003 | ETA 07:17:02 2020-12-16 23:39:24 [INFO] [TRAIN] epoch=119, iter=44210/80000, loss=0.1657, lr=0.004849, batch_cost=0.8001, reader_cost=0.0001 | ETA 07:57:17 2020-12-16 23:39:32 [INFO] [TRAIN] epoch=119, iter=44220/80000, loss=0.1369, lr=0.004847, batch_cost=0.7946, reader_cost=0.0002 | ETA 07:53:50 2020-12-16 23:39:40 [INFO] [TRAIN] epoch=119, iter=44230/80000, loss=0.2178, lr=0.004846, batch_cost=0.8193, reader_cost=0.0059 | ETA 08:08:27 2020-12-16 23:39:47 [INFO] [TRAIN] epoch=119, iter=44240/80000, loss=0.1633, lr=0.004845, batch_cost=0.7698, reader_cost=0.0048 | ETA 07:38:49 2020-12-16 23:39:55 [INFO] [TRAIN] epoch=119, iter=44250/80000, loss=0.2367, lr=0.004844, batch_cost=0.8043, reader_cost=0.0033 | ETA 07:59:12 2020-12-16 23:40:03 [INFO] [TRAIN] epoch=119, iter=44260/80000, loss=0.2071, lr=0.004842, batch_cost=0.7794, reader_cost=0.0029 | ETA 07:44:17 2020-12-16 23:40:10 [INFO] [TRAIN] epoch=120, iter=44270/80000, loss=0.1886, lr=0.004841, batch_cost=0.7240, reader_cost=0.0658 | ETA 07:11:07 2020-12-16 23:40:18 [INFO] [TRAIN] epoch=120, iter=44280/80000, loss=0.2791, lr=0.004840, batch_cost=0.7401, reader_cost=0.0014 | ETA 07:20:37 2020-12-16 23:40:26 [INFO] [TRAIN] epoch=120, iter=44290/80000, loss=0.1550, lr=0.004839, batch_cost=0.7977, reader_cost=0.0003 | ETA 07:54:46 2020-12-16 23:40:34 [INFO] [TRAIN] epoch=120, iter=44300/80000, loss=0.1541, lr=0.004838, batch_cost=0.8557, reader_cost=0.0001 | ETA 08:29:06 2020-12-16 23:40:42 [INFO] [TRAIN] epoch=120, iter=44310/80000, loss=0.1936, lr=0.004836, batch_cost=0.7457, reader_cost=0.0038 | ETA 07:23:33 2020-12-16 23:40:50 [INFO] [TRAIN] epoch=120, iter=44320/80000, loss=0.1495, lr=0.004835, batch_cost=0.8076, reader_cost=0.0048 | ETA 08:00:15 2020-12-16 23:40:59 [INFO] [TRAIN] epoch=120, iter=44330/80000, loss=0.1675, lr=0.004834, batch_cost=0.9025, reader_cost=0.0001 | ETA 08:56:31 2020-12-16 23:41:08 [INFO] [TRAIN] epoch=120, iter=44340/80000, loss=0.1627, lr=0.004833, batch_cost=0.8920, reader_cost=0.0028 | ETA 08:50:09 2020-12-16 23:41:17 [INFO] [TRAIN] epoch=120, iter=44350/80000, loss=0.1748, lr=0.004832, batch_cost=0.8845, reader_cost=0.0025 | ETA 08:45:31 2020-12-16 23:41:25 [INFO] [TRAIN] epoch=120, iter=44360/80000, loss=0.2227, lr=0.004830, batch_cost=0.8456, reader_cost=0.0044 | ETA 08:22:18 2020-12-16 23:41:34 [INFO] [TRAIN] epoch=120, iter=44370/80000, loss=0.2487, lr=0.004829, batch_cost=0.8849, reader_cost=0.0003 | ETA 08:45:28 2020-12-16 23:41:43 [INFO] [TRAIN] epoch=120, iter=44380/80000, loss=0.1383, lr=0.004828, batch_cost=0.8983, reader_cost=0.0038 | ETA 08:53:19 2020-12-16 23:41:52 [INFO] [TRAIN] epoch=120, iter=44390/80000, loss=0.3388, lr=0.004827, batch_cost=0.8739, reader_cost=0.0004 | ETA 08:38:37 2020-12-16 23:42:00 [INFO] [TRAIN] epoch=120, iter=44400/80000, loss=0.1938, lr=0.004825, batch_cost=0.8313, reader_cost=0.0031 | ETA 08:13:15 2020-12-16 23:42:08 [INFO] [TRAIN] epoch=120, iter=44410/80000, loss=0.1948, lr=0.004824, batch_cost=0.8081, reader_cost=0.0002 | ETA 07:59:19 2020-12-16 23:42:16 [INFO] [TRAIN] epoch=120, iter=44420/80000, loss=0.1475, lr=0.004823, batch_cost=0.8245, reader_cost=0.0006 | ETA 08:08:57 2020-12-16 23:42:24 [INFO] [TRAIN] epoch=120, iter=44430/80000, loss=0.3237, lr=0.004822, batch_cost=0.7821, reader_cost=0.0023 | ETA 07:43:39 2020-12-16 23:42:32 [INFO] [TRAIN] epoch=120, iter=44440/80000, loss=0.3382, lr=0.004821, batch_cost=0.7282, reader_cost=0.0030 | ETA 07:11:34 2020-12-16 23:42:39 [INFO] [TRAIN] epoch=120, iter=44450/80000, loss=0.3225, lr=0.004819, batch_cost=0.7597, reader_cost=0.0025 | ETA 07:30:06 2020-12-16 23:42:47 [INFO] [TRAIN] epoch=120, iter=44460/80000, loss=0.2087, lr=0.004818, batch_cost=0.8320, reader_cost=0.0010 | ETA 08:12:49 2020-12-16 23:42:53 [INFO] [TRAIN] epoch=120, iter=44470/80000, loss=0.1686, lr=0.004817, batch_cost=0.5669, reader_cost=0.0003 | ETA 05:35:42 2020-12-16 23:42:59 [INFO] [TRAIN] epoch=120, iter=44480/80000, loss=0.1785, lr=0.004816, batch_cost=0.6087, reader_cost=0.0001 | ETA 06:00:21 2020-12-16 23:43:07 [INFO] [TRAIN] epoch=120, iter=44490/80000, loss=0.1924, lr=0.004814, batch_cost=0.7452, reader_cost=0.0018 | ETA 07:21:03 2020-12-16 23:43:15 [INFO] [TRAIN] epoch=120, iter=44500/80000, loss=0.1846, lr=0.004813, batch_cost=0.8372, reader_cost=0.0001 | ETA 08:15:21 2020-12-16 23:43:23 [INFO] [TRAIN] epoch=120, iter=44510/80000, loss=0.1455, lr=0.004812, batch_cost=0.7830, reader_cost=0.0037 | ETA 07:43:07 2020-12-16 23:43:31 [INFO] [TRAIN] epoch=120, iter=44520/80000, loss=0.1962, lr=0.004811, batch_cost=0.7936, reader_cost=0.0047 | ETA 07:49:15 2020-12-16 23:43:38 [INFO] [TRAIN] epoch=120, iter=44530/80000, loss=0.1654, lr=0.004810, batch_cost=0.7587, reader_cost=0.0045 | ETA 07:28:29 2020-12-16 23:43:47 [INFO] [TRAIN] epoch=120, iter=44540/80000, loss=0.1535, lr=0.004808, batch_cost=0.8423, reader_cost=0.0011 | ETA 08:17:48 2020-12-16 23:43:55 [INFO] [TRAIN] epoch=120, iter=44550/80000, loss=0.2129, lr=0.004807, batch_cost=0.8316, reader_cost=0.0005 | ETA 08:11:20 2020-12-16 23:44:03 [INFO] [TRAIN] epoch=120, iter=44560/80000, loss=0.2590, lr=0.004806, batch_cost=0.7771, reader_cost=0.0007 | ETA 07:38:59 2020-12-16 23:44:11 [INFO] [TRAIN] epoch=120, iter=44570/80000, loss=0.1641, lr=0.004805, batch_cost=0.7861, reader_cost=0.0034 | ETA 07:44:12 2020-12-16 23:44:18 [INFO] [TRAIN] epoch=120, iter=44580/80000, loss=0.1685, lr=0.004803, batch_cost=0.7572, reader_cost=0.0001 | ETA 07:26:58 2020-12-16 23:44:26 [INFO] [TRAIN] epoch=120, iter=44590/80000, loss=0.1802, lr=0.004802, batch_cost=0.7870, reader_cost=0.0002 | ETA 07:44:26 2020-12-16 23:44:34 [INFO] [TRAIN] epoch=120, iter=44600/80000, loss=0.1600, lr=0.004801, batch_cost=0.7920, reader_cost=0.0038 | ETA 07:47:17 2020-12-16 23:44:42 [INFO] [TRAIN] epoch=120, iter=44610/80000, loss=0.2254, lr=0.004800, batch_cost=0.7827, reader_cost=0.0021 | ETA 07:41:38 2020-12-16 23:44:49 [INFO] [TRAIN] epoch=120, iter=44620/80000, loss=0.1666, lr=0.004799, batch_cost=0.7361, reader_cost=0.0022 | ETA 07:14:04 2020-12-16 23:44:57 [INFO] [TRAIN] epoch=120, iter=44630/80000, loss=0.2475, lr=0.004797, batch_cost=0.8158, reader_cost=0.0004 | ETA 08:00:53 2020-12-16 23:45:04 [INFO] [TRAIN] epoch=120, iter=44640/80000, loss=0.2003, lr=0.004796, batch_cost=0.6344, reader_cost=0.0001 | ETA 06:13:51 2020-12-16 23:45:13 [INFO] [TRAIN] epoch=121, iter=44650/80000, loss=0.1879, lr=0.004795, batch_cost=0.8775, reader_cost=0.0714 | ETA 08:36:59 2020-12-16 23:45:21 [INFO] [TRAIN] epoch=121, iter=44660/80000, loss=0.2143, lr=0.004794, batch_cost=0.8438, reader_cost=0.0002 | ETA 08:17:00 2020-12-16 23:45:29 [INFO] [TRAIN] epoch=121, iter=44670/80000, loss=0.1466, lr=0.004792, batch_cost=0.7961, reader_cost=0.0009 | ETA 07:48:47 2020-12-16 23:45:37 [INFO] [TRAIN] epoch=121, iter=44680/80000, loss=0.2497, lr=0.004791, batch_cost=0.8434, reader_cost=0.0014 | ETA 08:16:29 2020-12-16 23:45:46 [INFO] [TRAIN] epoch=121, iter=44690/80000, loss=0.2199, lr=0.004790, batch_cost=0.8182, reader_cost=0.0001 | ETA 08:01:29 2020-12-16 23:45:55 [INFO] [TRAIN] epoch=121, iter=44700/80000, loss=0.2151, lr=0.004789, batch_cost=0.8856, reader_cost=0.0017 | ETA 08:41:02 2020-12-16 23:46:02 [INFO] [TRAIN] epoch=121, iter=44710/80000, loss=0.1272, lr=0.004788, batch_cost=0.7730, reader_cost=0.0008 | ETA 07:34:37 2020-12-16 23:46:10 [INFO] [TRAIN] epoch=121, iter=44720/80000, loss=0.1805, lr=0.004786, batch_cost=0.7852, reader_cost=0.0012 | ETA 07:41:42 2020-12-16 23:46:18 [INFO] [TRAIN] epoch=121, iter=44730/80000, loss=0.1462, lr=0.004785, batch_cost=0.8307, reader_cost=0.0010 | ETA 08:08:18 2020-12-16 23:46:26 [INFO] [TRAIN] epoch=121, iter=44740/80000, loss=0.1970, lr=0.004784, batch_cost=0.8047, reader_cost=0.0031 | ETA 07:52:53 2020-12-16 23:46:34 [INFO] [TRAIN] epoch=121, iter=44750/80000, loss=0.1728, lr=0.004783, batch_cost=0.7811, reader_cost=0.0002 | ETA 07:38:53 2020-12-16 23:46:42 [INFO] [TRAIN] epoch=121, iter=44760/80000, loss=0.2302, lr=0.004781, batch_cost=0.7810, reader_cost=0.0006 | ETA 07:38:41 2020-12-16 23:46:51 [INFO] [TRAIN] epoch=121, iter=44770/80000, loss=0.1581, lr=0.004780, batch_cost=0.8456, reader_cost=0.0048 | ETA 08:16:29 2020-12-16 23:46:58 [INFO] [TRAIN] epoch=121, iter=44780/80000, loss=0.2051, lr=0.004779, batch_cost=0.7651, reader_cost=0.0034 | ETA 07:29:08 2020-12-16 23:47:07 [INFO] [TRAIN] epoch=121, iter=44790/80000, loss=0.1579, lr=0.004778, batch_cost=0.9065, reader_cost=0.0031 | ETA 08:51:56 2020-12-16 23:47:16 [INFO] [TRAIN] epoch=121, iter=44800/80000, loss=0.2077, lr=0.004777, batch_cost=0.8832, reader_cost=0.0040 | ETA 08:38:10 2020-12-16 23:47:24 [INFO] [TRAIN] epoch=121, iter=44810/80000, loss=0.1970, lr=0.004775, batch_cost=0.7966, reader_cost=0.0007 | ETA 07:47:11 2020-12-16 23:47:30 [INFO] [TRAIN] epoch=121, iter=44820/80000, loss=0.2224, lr=0.004774, batch_cost=0.5498, reader_cost=0.0001 | ETA 05:22:22 2020-12-16 23:47:36 [INFO] [TRAIN] epoch=121, iter=44830/80000, loss=0.1531, lr=0.004773, batch_cost=0.5956, reader_cost=0.0007 | ETA 05:49:08 2020-12-16 23:47:44 [INFO] [TRAIN] epoch=121, iter=44840/80000, loss=0.1686, lr=0.004772, batch_cost=0.8362, reader_cost=0.0003 | ETA 08:10:01 2020-12-16 23:47:52 [INFO] [TRAIN] epoch=121, iter=44850/80000, loss=0.2612, lr=0.004770, batch_cost=0.8385, reader_cost=0.0023 | ETA 08:11:14 2020-12-16 23:48:00 [INFO] [TRAIN] epoch=121, iter=44860/80000, loss=0.1575, lr=0.004769, batch_cost=0.7788, reader_cost=0.0001 | ETA 07:36:05 2020-12-16 23:48:08 [INFO] [TRAIN] epoch=121, iter=44870/80000, loss=0.1749, lr=0.004768, batch_cost=0.7827, reader_cost=0.0014 | ETA 07:38:16 2020-12-16 23:48:15 [INFO] [TRAIN] epoch=121, iter=44880/80000, loss=0.1978, lr=0.004767, batch_cost=0.7383, reader_cost=0.0006 | ETA 07:12:09 2020-12-16 23:48:23 [INFO] [TRAIN] epoch=121, iter=44890/80000, loss=0.1402, lr=0.004766, batch_cost=0.8014, reader_cost=0.0019 | ETA 07:48:56 2020-12-16 23:48:31 [INFO] [TRAIN] epoch=121, iter=44900/80000, loss=0.2763, lr=0.004764, batch_cost=0.7726, reader_cost=0.0020 | ETA 07:31:57 2020-12-16 23:48:39 [INFO] [TRAIN] epoch=121, iter=44910/80000, loss=0.1696, lr=0.004763, batch_cost=0.7614, reader_cost=0.0039 | ETA 07:25:18 2020-12-16 23:48:47 [INFO] [TRAIN] epoch=121, iter=44920/80000, loss=0.1374, lr=0.004762, batch_cost=0.8268, reader_cost=0.0002 | ETA 08:03:22 2020-12-16 23:48:55 [INFO] [TRAIN] epoch=121, iter=44930/80000, loss=0.1340, lr=0.004761, batch_cost=0.7619, reader_cost=0.0001 | ETA 07:25:21 2020-12-16 23:49:02 [INFO] [TRAIN] epoch=121, iter=44940/80000, loss=0.2279, lr=0.004759, batch_cost=0.7369, reader_cost=0.0001 | ETA 07:10:37 2020-12-16 23:49:10 [INFO] [TRAIN] epoch=121, iter=44950/80000, loss=0.1343, lr=0.004758, batch_cost=0.7604, reader_cost=0.0001 | ETA 07:24:12 2020-12-16 23:49:18 [INFO] [TRAIN] epoch=121, iter=44960/80000, loss=0.1805, lr=0.004757, batch_cost=0.8133, reader_cost=0.0003 | ETA 07:54:58 2020-12-16 23:49:25 [INFO] [TRAIN] epoch=121, iter=44970/80000, loss=0.1562, lr=0.004756, batch_cost=0.7752, reader_cost=0.0033 | ETA 07:32:33 2020-12-16 23:49:34 [INFO] [TRAIN] epoch=121, iter=44980/80000, loss=0.1423, lr=0.004755, batch_cost=0.8660, reader_cost=0.0001 | ETA 08:25:26 2020-12-16 23:49:42 [INFO] [TRAIN] epoch=121, iter=44990/80000, loss=0.2310, lr=0.004753, batch_cost=0.7727, reader_cost=0.0014 | ETA 07:30:51 2020-12-16 23:49:51 [INFO] [TRAIN] epoch=121, iter=45000/80000, loss=0.1722, lr=0.004752, batch_cost=0.8883, reader_cost=0.0001 | ETA 08:38:09 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-16 23:49:51 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 23:50:33 [INFO] [EVAL] #Images=500 mIoU=0.7748 Acc=0.9592 Kappa=0.9470 2020-12-16 23:50:33 [INFO] [EVAL] Class IoU: [0.9807 0.8443 0.9225 0.5538 0.6227 0.5871 0.6962 0.7757 0.9224 0.6586 0.9471 0.8086 0.6042 0.9456 0.8488 0.8229 0.7843 0.6301 0.7652] 2020-12-16 23:50:33 [INFO] [EVAL] Class Acc: [0.9913 0.9154 0.9527 0.8192 0.795 0.7744 0.8218 0.9011 0.9527 0.8756 0.969 0.8757 0.8156 0.9752 0.9189 0.8689 0.9667 0.791 0.8585] 2020-12-16 23:50:38 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-16 23:50:45 [INFO] [TRAIN] epoch=121, iter=45010/80000, loss=0.1462, lr=0.004751, batch_cost=0.7039, reader_cost=0.0012 | ETA 06:50:29 2020-12-16 23:50:54 [INFO] [TRAIN] epoch=122, iter=45020/80000, loss=0.1931, lr=0.004750, batch_cost=0.8491, reader_cost=0.0630 | ETA 08:15:01 2020-12-16 23:51:02 [INFO] [TRAIN] epoch=122, iter=45030/80000, loss=0.1742, lr=0.004748, batch_cost=0.8290, reader_cost=0.0001 | ETA 08:03:08 2020-12-16 23:51:10 [INFO] [TRAIN] epoch=122, iter=45040/80000, loss=0.1612, lr=0.004747, batch_cost=0.8182, reader_cost=0.0001 | ETA 07:56:44 2020-12-16 23:51:19 [INFO] [TRAIN] epoch=122, iter=45050/80000, loss=0.1940, lr=0.004746, batch_cost=0.8907, reader_cost=0.0005 | ETA 08:38:51 2020-12-16 23:51:27 [INFO] [TRAIN] epoch=122, iter=45060/80000, loss=0.2374, lr=0.004745, batch_cost=0.7694, reader_cost=0.0007 | ETA 07:28:03 2020-12-16 23:51:34 [INFO] [TRAIN] epoch=122, iter=45070/80000, loss=0.1825, lr=0.004744, batch_cost=0.7465, reader_cost=0.0030 | ETA 07:14:36 2020-12-16 23:51:41 [INFO] [TRAIN] epoch=122, iter=45080/80000, loss=0.1538, lr=0.004742, batch_cost=0.7179, reader_cost=0.0011 | ETA 06:57:48 2020-12-16 23:51:49 [INFO] [TRAIN] epoch=122, iter=45090/80000, loss=0.2059, lr=0.004741, batch_cost=0.7695, reader_cost=0.0002 | ETA 07:27:41 2020-12-16 23:51:57 [INFO] [TRAIN] epoch=122, iter=45100/80000, loss=0.1746, lr=0.004740, batch_cost=0.8154, reader_cost=0.0001 | ETA 07:54:18 2020-12-16 23:52:05 [INFO] [TRAIN] epoch=122, iter=45110/80000, loss=0.2003, lr=0.004739, batch_cost=0.7241, reader_cost=0.0005 | ETA 07:01:04 2020-12-16 23:52:10 [INFO] [TRAIN] epoch=122, iter=45120/80000, loss=0.2134, lr=0.004737, batch_cost=0.5438, reader_cost=0.0001 | ETA 05:16:07 2020-12-16 23:52:16 [INFO] [TRAIN] epoch=122, iter=45130/80000, loss=0.1624, lr=0.004736, batch_cost=0.5945, reader_cost=0.0019 | ETA 05:45:29 2020-12-16 23:52:23 [INFO] [TRAIN] epoch=122, iter=45140/80000, loss=0.1342, lr=0.004735, batch_cost=0.7359, reader_cost=0.0001 | ETA 07:07:34 2020-12-16 23:52:31 [INFO] [TRAIN] epoch=122, iter=45150/80000, loss=0.1559, lr=0.004734, batch_cost=0.7947, reader_cost=0.0003 | ETA 07:41:36 2020-12-16 23:52:39 [INFO] [TRAIN] epoch=122, iter=45160/80000, loss=0.1598, lr=0.004733, batch_cost=0.7871, reader_cost=0.0002 | ETA 07:37:02 2020-12-16 23:52:47 [INFO] [TRAIN] epoch=122, iter=45170/80000, loss=0.1854, lr=0.004731, batch_cost=0.8034, reader_cost=0.0012 | ETA 07:46:23 2020-12-16 23:52:56 [INFO] [TRAIN] epoch=122, iter=45180/80000, loss=0.1560, lr=0.004730, batch_cost=0.8412, reader_cost=0.0036 | ETA 08:08:09 2020-12-16 23:53:04 [INFO] [TRAIN] epoch=122, iter=45190/80000, loss=0.1926, lr=0.004729, batch_cost=0.8134, reader_cost=0.0003 | ETA 07:51:55 2020-12-16 23:53:12 [INFO] [TRAIN] epoch=122, iter=45200/80000, loss=0.1700, lr=0.004728, batch_cost=0.8724, reader_cost=0.0020 | ETA 08:25:59 2020-12-16 23:53:21 [INFO] [TRAIN] epoch=122, iter=45210/80000, loss=0.1829, lr=0.004726, batch_cost=0.8454, reader_cost=0.0089 | ETA 08:10:12 2020-12-16 23:53:29 [INFO] [TRAIN] epoch=122, iter=45220/80000, loss=0.2006, lr=0.004725, batch_cost=0.8301, reader_cost=0.0001 | ETA 08:01:12 2020-12-16 23:53:37 [INFO] [TRAIN] epoch=122, iter=45230/80000, loss=0.1775, lr=0.004724, batch_cost=0.8048, reader_cost=0.0009 | ETA 07:46:23 2020-12-16 23:53:45 [INFO] [TRAIN] epoch=122, iter=45240/80000, loss=0.2356, lr=0.004723, batch_cost=0.7537, reader_cost=0.0006 | ETA 07:16:40 2020-12-16 23:53:53 [INFO] [TRAIN] epoch=122, iter=45250/80000, loss=0.1912, lr=0.004722, batch_cost=0.7986, reader_cost=0.0001 | ETA 07:42:31 2020-12-16 23:54:01 [INFO] [TRAIN] epoch=122, iter=45260/80000, loss=0.1740, lr=0.004720, batch_cost=0.7703, reader_cost=0.0052 | ETA 07:26:01 2020-12-16 23:54:08 [INFO] [TRAIN] epoch=122, iter=45270/80000, loss=0.1260, lr=0.004719, batch_cost=0.7167, reader_cost=0.0004 | ETA 06:54:49 2020-12-16 23:54:15 [INFO] [TRAIN] epoch=122, iter=45280/80000, loss=0.1789, lr=0.004718, batch_cost=0.7420, reader_cost=0.0001 | ETA 07:09:23 2020-12-16 23:54:23 [INFO] [TRAIN] epoch=122, iter=45290/80000, loss=0.1968, lr=0.004717, batch_cost=0.8247, reader_cost=0.0032 | ETA 07:57:05 2020-12-16 23:54:31 [INFO] [TRAIN] epoch=122, iter=45300/80000, loss=0.1676, lr=0.004715, batch_cost=0.7929, reader_cost=0.0010 | ETA 07:38:34 2020-12-16 23:54:39 [INFO] [TRAIN] epoch=122, iter=45310/80000, loss=0.1798, lr=0.004714, batch_cost=0.8030, reader_cost=0.0022 | ETA 07:44:16 2020-12-16 23:54:48 [INFO] [TRAIN] epoch=122, iter=45320/80000, loss=0.1773, lr=0.004713, batch_cost=0.8267, reader_cost=0.0044 | ETA 07:57:51 2020-12-16 23:54:56 [INFO] [TRAIN] epoch=122, iter=45330/80000, loss=0.1682, lr=0.004712, batch_cost=0.8233, reader_cost=0.0001 | ETA 07:55:43 2020-12-16 23:55:04 [INFO] [TRAIN] epoch=122, iter=45340/80000, loss=0.1583, lr=0.004711, batch_cost=0.8208, reader_cost=0.0018 | ETA 07:54:07 2020-12-16 23:55:12 [INFO] [TRAIN] epoch=122, iter=45350/80000, loss=0.1893, lr=0.004709, batch_cost=0.7743, reader_cost=0.0065 | ETA 07:27:09 2020-12-16 23:55:20 [INFO] [TRAIN] epoch=122, iter=45360/80000, loss=0.1599, lr=0.004708, batch_cost=0.8599, reader_cost=0.0002 | ETA 08:16:27 2020-12-16 23:55:29 [INFO] [TRAIN] epoch=122, iter=45370/80000, loss=0.2468, lr=0.004707, batch_cost=0.8945, reader_cost=0.0002 | ETA 08:36:16 2020-12-16 23:55:37 [INFO] [TRAIN] epoch=122, iter=45380/80000, loss=0.1592, lr=0.004706, batch_cost=0.8055, reader_cost=0.0016 | ETA 07:44:47 2020-12-16 23:55:46 [INFO] [TRAIN] epoch=123, iter=45390/80000, loss=0.1226, lr=0.004704, batch_cost=0.8383, reader_cost=0.0542 | ETA 08:03:34 2020-12-16 23:55:55 [INFO] [TRAIN] epoch=123, iter=45400/80000, loss=0.2493, lr=0.004703, batch_cost=0.9243, reader_cost=0.0019 | ETA 08:53:01 2020-12-16 23:56:03 [INFO] [TRAIN] epoch=123, iter=45410/80000, loss=0.1531, lr=0.004702, batch_cost=0.7980, reader_cost=0.0017 | ETA 07:40:04 2020-12-16 23:56:11 [INFO] [TRAIN] epoch=123, iter=45420/80000, loss=0.1934, lr=0.004701, batch_cost=0.8134, reader_cost=0.0001 | ETA 07:48:47 2020-12-16 23:56:18 [INFO] [TRAIN] epoch=123, iter=45430/80000, loss=0.1774, lr=0.004700, batch_cost=0.6886, reader_cost=0.0021 | ETA 06:36:46 2020-12-16 23:56:26 [INFO] [TRAIN] epoch=123, iter=45440/80000, loss=0.1457, lr=0.004698, batch_cost=0.8403, reader_cost=0.0006 | ETA 08:04:00 2020-12-16 23:56:35 [INFO] [TRAIN] epoch=123, iter=45450/80000, loss=0.1583, lr=0.004697, batch_cost=0.8300, reader_cost=0.0011 | ETA 07:57:56 2020-12-16 23:56:43 [INFO] [TRAIN] epoch=123, iter=45460/80000, loss=0.2571, lr=0.004696, batch_cost=0.8375, reader_cost=0.0001 | ETA 08:02:05 2020-12-16 23:56:49 [INFO] [TRAIN] epoch=123, iter=45470/80000, loss=0.1769, lr=0.004695, batch_cost=0.5572, reader_cost=0.0013 | ETA 05:20:40 2020-12-16 23:56:54 [INFO] [TRAIN] epoch=123, iter=45480/80000, loss=0.1533, lr=0.004693, batch_cost=0.5775, reader_cost=0.0033 | ETA 05:32:15 2020-12-16 23:57:02 [INFO] [TRAIN] epoch=123, iter=45490/80000, loss=0.1770, lr=0.004692, batch_cost=0.7633, reader_cost=0.0014 | ETA 07:19:02 2020-12-16 23:57:11 [INFO] [TRAIN] epoch=123, iter=45500/80000, loss=0.1799, lr=0.004691, batch_cost=0.8529, reader_cost=0.0024 | ETA 08:10:23 2020-12-16 23:57:19 [INFO] [TRAIN] epoch=123, iter=45510/80000, loss=0.1715, lr=0.004690, batch_cost=0.8735, reader_cost=0.0004 | ETA 08:22:06 2020-12-16 23:57:28 [INFO] [TRAIN] epoch=123, iter=45520/80000, loss=0.1531, lr=0.004689, batch_cost=0.8365, reader_cost=0.0001 | ETA 08:00:44 2020-12-16 23:57:37 [INFO] [TRAIN] epoch=123, iter=45530/80000, loss=0.1652, lr=0.004687, batch_cost=0.8832, reader_cost=0.0018 | ETA 08:27:23 2020-12-16 23:57:44 [INFO] [TRAIN] epoch=123, iter=45540/80000, loss=0.1471, lr=0.004686, batch_cost=0.7932, reader_cost=0.0001 | ETA 07:35:33 2020-12-16 23:57:53 [INFO] [TRAIN] epoch=123, iter=45550/80000, loss=0.1683, lr=0.004685, batch_cost=0.8665, reader_cost=0.0014 | ETA 08:17:29 2020-12-16 23:58:01 [INFO] [TRAIN] epoch=123, iter=45560/80000, loss=0.1500, lr=0.004684, batch_cost=0.7685, reader_cost=0.0002 | ETA 07:21:08 2020-12-16 23:58:09 [INFO] [TRAIN] epoch=123, iter=45570/80000, loss=0.2095, lr=0.004682, batch_cost=0.8259, reader_cost=0.0026 | ETA 07:53:54 2020-12-16 23:58:18 [INFO] [TRAIN] epoch=123, iter=45580/80000, loss=0.1648, lr=0.004681, batch_cost=0.8639, reader_cost=0.0020 | ETA 08:15:36 2020-12-16 23:58:26 [INFO] [TRAIN] epoch=123, iter=45590/80000, loss=0.1974, lr=0.004680, batch_cost=0.8695, reader_cost=0.0005 | ETA 08:18:39 2020-12-16 23:58:35 [INFO] [TRAIN] epoch=123, iter=45600/80000, loss=0.1460, lr=0.004679, batch_cost=0.8346, reader_cost=0.0010 | ETA 07:58:29 2020-12-16 23:58:43 [INFO] [TRAIN] epoch=123, iter=45610/80000, loss=0.2121, lr=0.004678, batch_cost=0.7831, reader_cost=0.0022 | ETA 07:28:51 2020-12-16 23:58:51 [INFO] [TRAIN] epoch=123, iter=45620/80000, loss=0.1945, lr=0.004676, batch_cost=0.8784, reader_cost=0.0001 | ETA 08:23:19 2020-12-16 23:59:00 [INFO] [TRAIN] epoch=123, iter=45630/80000, loss=0.2536, lr=0.004675, batch_cost=0.8454, reader_cost=0.0001 | ETA 08:04:15 2020-12-16 23:59:08 [INFO] [TRAIN] epoch=123, iter=45640/80000, loss=0.1483, lr=0.004674, batch_cost=0.8260, reader_cost=0.0001 | ETA 07:53:02 2020-12-16 23:59:16 [INFO] [TRAIN] epoch=123, iter=45650/80000, loss=0.1654, lr=0.004673, batch_cost=0.8092, reader_cost=0.0073 | ETA 07:43:15 2020-12-16 23:59:24 [INFO] [TRAIN] epoch=123, iter=45660/80000, loss=0.1850, lr=0.004671, batch_cost=0.8262, reader_cost=0.0021 | ETA 07:52:50 2020-12-16 23:59:33 [INFO] [TRAIN] epoch=123, iter=45670/80000, loss=0.1586, lr=0.004670, batch_cost=0.8422, reader_cost=0.0001 | ETA 08:01:52 2020-12-16 23:59:41 [INFO] [TRAIN] epoch=123, iter=45680/80000, loss=0.1515, lr=0.004669, batch_cost=0.7992, reader_cost=0.0007 | ETA 07:37:10 2020-12-16 23:59:49 [INFO] [TRAIN] epoch=123, iter=45690/80000, loss=0.1679, lr=0.004668, batch_cost=0.7936, reader_cost=0.0022 | ETA 07:33:47 2020-12-16 23:59:56 [INFO] [TRAIN] epoch=123, iter=45700/80000, loss=0.1728, lr=0.004667, batch_cost=0.7389, reader_cost=0.0018 | ETA 07:02:25 2020-12-17 00:00:01 [INFO] [TRAIN] epoch=123, iter=45710/80000, loss=0.1996, lr=0.004665, batch_cost=0.5207, reader_cost=0.0002 | ETA 04:57:35 2020-12-17 00:00:07 [INFO] [TRAIN] epoch=123, iter=45720/80000, loss=0.1746, lr=0.004664, batch_cost=0.5302, reader_cost=0.0002 | ETA 05:02:54 2020-12-17 00:00:12 [INFO] [TRAIN] epoch=123, iter=45730/80000, loss=0.1920, lr=0.004663, batch_cost=0.5245, reader_cost=0.0002 | ETA 04:59:34 2020-12-17 00:00:17 [INFO] [TRAIN] epoch=123, iter=45740/80000, loss=0.1811, lr=0.004662, batch_cost=0.5379, reader_cost=0.0002 | ETA 05:07:08 2020-12-17 00:00:23 [INFO] [TRAIN] epoch=123, iter=45750/80000, loss=0.2412, lr=0.004660, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:06:53 2020-12-17 00:00:29 [INFO] [TRAIN] epoch=124, iter=45760/80000, loss=0.1327, lr=0.004659, batch_cost=0.5991, reader_cost=0.0775 | ETA 05:41:53 2020-12-17 00:00:36 [INFO] [TRAIN] epoch=124, iter=45770/80000, loss=0.1778, lr=0.004658, batch_cost=0.7045, reader_cost=0.0001 | ETA 06:41:54 2020-12-17 00:00:44 [INFO] [TRAIN] epoch=124, iter=45780/80000, loss=0.1414, lr=0.004657, batch_cost=0.7897, reader_cost=0.0027 | ETA 07:30:24 2020-12-17 00:00:51 [INFO] [TRAIN] epoch=124, iter=45790/80000, loss=0.2230, lr=0.004656, batch_cost=0.7446, reader_cost=0.0012 | ETA 07:04:31 2020-12-17 00:00:58 [INFO] [TRAIN] epoch=124, iter=45800/80000, loss=0.2062, lr=0.004654, batch_cost=0.7333, reader_cost=0.0039 | ETA 06:57:58 2020-12-17 00:01:07 [INFO] [TRAIN] epoch=124, iter=45810/80000, loss=0.1512, lr=0.004653, batch_cost=0.8343, reader_cost=0.0001 | ETA 07:55:25 2020-12-17 00:01:14 [INFO] [TRAIN] epoch=124, iter=45820/80000, loss=0.1790, lr=0.004652, batch_cost=0.7429, reader_cost=0.0006 | ETA 07:03:13 2020-12-17 00:01:22 [INFO] [TRAIN] epoch=124, iter=45830/80000, loss=0.1371, lr=0.004651, batch_cost=0.7802, reader_cost=0.0001 | ETA 07:24:19 2020-12-17 00:01:30 [INFO] [TRAIN] epoch=124, iter=45840/80000, loss=0.2353, lr=0.004649, batch_cost=0.8216, reader_cost=0.0002 | ETA 07:47:46 2020-12-17 00:01:38 [INFO] [TRAIN] epoch=124, iter=45850/80000, loss=0.1736, lr=0.004648, batch_cost=0.7371, reader_cost=0.0010 | ETA 06:59:33 2020-12-17 00:01:45 [INFO] [TRAIN] epoch=124, iter=45860/80000, loss=0.2111, lr=0.004647, batch_cost=0.7250, reader_cost=0.0042 | ETA 06:52:32 2020-12-17 00:01:53 [INFO] [TRAIN] epoch=124, iter=45870/80000, loss=0.2055, lr=0.004646, batch_cost=0.8151, reader_cost=0.0001 | ETA 07:43:38 2020-12-17 00:01:59 [INFO] [TRAIN] epoch=124, iter=45880/80000, loss=0.1617, lr=0.004644, batch_cost=0.5921, reader_cost=0.0002 | ETA 05:36:42 2020-12-17 00:02:05 [INFO] [TRAIN] epoch=124, iter=45890/80000, loss=0.1914, lr=0.004643, batch_cost=0.5575, reader_cost=0.0001 | ETA 05:16:56 2020-12-17 00:02:12 [INFO] [TRAIN] epoch=124, iter=45900/80000, loss=0.2430, lr=0.004642, batch_cost=0.7796, reader_cost=0.0001 | ETA 07:23:03 2020-12-17 00:02:21 [INFO] [TRAIN] epoch=124, iter=45910/80000, loss=0.1652, lr=0.004641, batch_cost=0.8172, reader_cost=0.0027 | ETA 07:44:17 2020-12-17 00:02:29 [INFO] [TRAIN] epoch=124, iter=45920/80000, loss=0.1598, lr=0.004640, batch_cost=0.8092, reader_cost=0.0001 | ETA 07:39:37 2020-12-17 00:02:37 [INFO] [TRAIN] epoch=124, iter=45930/80000, loss=0.2100, lr=0.004638, batch_cost=0.8576, reader_cost=0.0013 | ETA 08:06:59 2020-12-17 00:02:46 [INFO] [TRAIN] epoch=124, iter=45940/80000, loss=0.1560, lr=0.004637, batch_cost=0.8501, reader_cost=0.0010 | ETA 08:02:32 2020-12-17 00:02:53 [INFO] [TRAIN] epoch=124, iter=45950/80000, loss=0.1719, lr=0.004636, batch_cost=0.7763, reader_cost=0.0015 | ETA 07:20:31 2020-12-17 00:03:01 [INFO] [TRAIN] epoch=124, iter=45960/80000, loss=0.1655, lr=0.004635, batch_cost=0.7738, reader_cost=0.0013 | ETA 07:19:01 2020-12-17 00:03:09 [INFO] [TRAIN] epoch=124, iter=45970/80000, loss=0.2108, lr=0.004633, batch_cost=0.7701, reader_cost=0.0039 | ETA 07:16:46 2020-12-17 00:03:16 [INFO] [TRAIN] epoch=124, iter=45980/80000, loss=0.2699, lr=0.004632, batch_cost=0.7418, reader_cost=0.0038 | ETA 07:00:35 2020-12-17 00:03:24 [INFO] [TRAIN] epoch=124, iter=45990/80000, loss=0.2330, lr=0.004631, batch_cost=0.7794, reader_cost=0.0010 | ETA 07:21:47 2020-12-17 00:03:32 [INFO] [TRAIN] epoch=124, iter=46000/80000, loss=0.1559, lr=0.004630, batch_cost=0.7911, reader_cost=0.0030 | ETA 07:28:18 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:03:32 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 00:04:16 [INFO] [EVAL] #Images=500 mIoU=0.7751 Acc=0.9581 Kappa=0.9456 2020-12-17 00:04:16 [INFO] [EVAL] Class IoU: [0.9807 0.8436 0.9181 0.5642 0.5643 0.5844 0.6953 0.7797 0.919 0.6578 0.9458 0.8008 0.5791 0.9459 0.8629 0.8549 0.811 0.6541 0.7657] 2020-12-17 00:04:16 [INFO] [EVAL] Class Acc: [0.9912 0.9184 0.9501 0.8208 0.8252 0.7767 0.8316 0.8905 0.9494 0.8373 0.9704 0.8643 0.8189 0.9722 0.9333 0.8961 0.9139 0.8136 0.8684] 2020-12-17 00:04:21 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-17 00:04:29 [INFO] [TRAIN] epoch=124, iter=46010/80000, loss=0.1529, lr=0.004629, batch_cost=0.7934, reader_cost=0.0003 | ETA 07:29:26 2020-12-17 00:04:37 [INFO] [TRAIN] epoch=124, iter=46020/80000, loss=0.1527, lr=0.004627, batch_cost=0.8197, reader_cost=0.0001 | ETA 07:44:14 2020-12-17 00:04:46 [INFO] [TRAIN] epoch=124, iter=46030/80000, loss=0.2272, lr=0.004626, batch_cost=0.8806, reader_cost=0.0001 | ETA 08:18:34 2020-12-17 00:04:54 [INFO] [TRAIN] epoch=124, iter=46040/80000, loss=0.2987, lr=0.004625, batch_cost=0.8098, reader_cost=0.0012 | ETA 07:38:21 2020-12-17 00:05:02 [INFO] [TRAIN] epoch=124, iter=46050/80000, loss=0.1884, lr=0.004624, batch_cost=0.8435, reader_cost=0.0012 | ETA 07:57:16 2020-12-17 00:05:10 [INFO] [TRAIN] epoch=124, iter=46060/80000, loss=0.1343, lr=0.004622, batch_cost=0.7978, reader_cost=0.0007 | ETA 07:31:17 2020-12-17 00:05:18 [INFO] [TRAIN] epoch=124, iter=46070/80000, loss=0.1692, lr=0.004621, batch_cost=0.7660, reader_cost=0.0020 | ETA 07:13:10 2020-12-17 00:05:25 [INFO] [TRAIN] epoch=124, iter=46080/80000, loss=0.1713, lr=0.004620, batch_cost=0.7496, reader_cost=0.0002 | ETA 07:03:46 2020-12-17 00:05:33 [INFO] [TRAIN] epoch=124, iter=46090/80000, loss=0.1774, lr=0.004619, batch_cost=0.7383, reader_cost=0.0001 | ETA 06:57:16 2020-12-17 00:05:41 [INFO] [TRAIN] epoch=124, iter=46100/80000, loss=0.1896, lr=0.004618, batch_cost=0.8111, reader_cost=0.0002 | ETA 07:38:15 2020-12-17 00:05:50 [INFO] [TRAIN] epoch=124, iter=46110/80000, loss=0.2202, lr=0.004616, batch_cost=0.8743, reader_cost=0.0003 | ETA 08:13:48 2020-12-17 00:05:57 [INFO] [TRAIN] epoch=124, iter=46120/80000, loss=0.1805, lr=0.004615, batch_cost=0.7722, reader_cost=0.0018 | ETA 07:16:03 2020-12-17 00:06:05 [INFO] [TRAIN] epoch=125, iter=46130/80000, loss=0.2317, lr=0.004614, batch_cost=0.7625, reader_cost=0.0510 | ETA 07:10:25 2020-12-17 00:06:13 [INFO] [TRAIN] epoch=125, iter=46140/80000, loss=0.2239, lr=0.004613, batch_cost=0.8574, reader_cost=0.0003 | ETA 08:03:51 2020-12-17 00:06:23 [INFO] [TRAIN] epoch=125, iter=46150/80000, loss=0.1937, lr=0.004611, batch_cost=0.9244, reader_cost=0.0008 | ETA 08:41:30 2020-12-17 00:06:31 [INFO] [TRAIN] epoch=125, iter=46160/80000, loss=0.1618, lr=0.004610, batch_cost=0.8251, reader_cost=0.0001 | ETA 07:45:20 2020-12-17 00:06:36 [INFO] [TRAIN] epoch=125, iter=46170/80000, loss=0.1577, lr=0.004609, batch_cost=0.5469, reader_cost=0.0016 | ETA 05:08:21 2020-12-17 00:06:42 [INFO] [TRAIN] epoch=125, iter=46180/80000, loss=0.2009, lr=0.004608, batch_cost=0.5571, reader_cost=0.0001 | ETA 05:14:01 2020-12-17 00:06:50 [INFO] [TRAIN] epoch=125, iter=46190/80000, loss=0.2079, lr=0.004607, batch_cost=0.8138, reader_cost=0.0007 | ETA 07:38:33 2020-12-17 00:06:58 [INFO] [TRAIN] epoch=125, iter=46200/80000, loss=0.2067, lr=0.004605, batch_cost=0.8324, reader_cost=0.0007 | ETA 07:48:56 2020-12-17 00:07:06 [INFO] [TRAIN] epoch=125, iter=46210/80000, loss=0.1473, lr=0.004604, batch_cost=0.7892, reader_cost=0.0020 | ETA 07:24:27 2020-12-17 00:07:15 [INFO] [TRAIN] epoch=125, iter=46220/80000, loss=0.2013, lr=0.004603, batch_cost=0.8256, reader_cost=0.0013 | ETA 07:44:50 2020-12-17 00:07:23 [INFO] [TRAIN] epoch=125, iter=46230/80000, loss=0.2794, lr=0.004602, batch_cost=0.8788, reader_cost=0.0002 | ETA 08:14:35 2020-12-17 00:07:31 [INFO] [TRAIN] epoch=125, iter=46240/80000, loss=0.1542, lr=0.004600, batch_cost=0.7748, reader_cost=0.0004 | ETA 07:15:57 2020-12-17 00:07:39 [INFO] [TRAIN] epoch=125, iter=46250/80000, loss=0.1923, lr=0.004599, batch_cost=0.7972, reader_cost=0.0039 | ETA 07:28:24 2020-12-17 00:07:48 [INFO] [TRAIN] epoch=125, iter=46260/80000, loss=0.1879, lr=0.004598, batch_cost=0.8848, reader_cost=0.0003 | ETA 08:17:33 2020-12-17 00:07:57 [INFO] [TRAIN] epoch=125, iter=46270/80000, loss=0.1623, lr=0.004597, batch_cost=0.9042, reader_cost=0.0008 | ETA 08:28:17 2020-12-17 00:08:06 [INFO] [TRAIN] epoch=125, iter=46280/80000, loss=0.1712, lr=0.004595, batch_cost=0.8710, reader_cost=0.0003 | ETA 08:09:29 2020-12-17 00:08:14 [INFO] [TRAIN] epoch=125, iter=46290/80000, loss=0.2660, lr=0.004594, batch_cost=0.7922, reader_cost=0.0001 | ETA 07:25:06 2020-12-17 00:08:22 [INFO] [TRAIN] epoch=125, iter=46300/80000, loss=0.1549, lr=0.004593, batch_cost=0.7966, reader_cost=0.0009 | ETA 07:27:24 2020-12-17 00:08:29 [INFO] [TRAIN] epoch=125, iter=46310/80000, loss=0.1969, lr=0.004592, batch_cost=0.7270, reader_cost=0.0034 | ETA 06:48:12 2020-12-17 00:08:36 [INFO] [TRAIN] epoch=125, iter=46320/80000, loss=0.1598, lr=0.004591, batch_cost=0.7183, reader_cost=0.0019 | ETA 06:43:11 2020-12-17 00:08:45 [INFO] [TRAIN] epoch=125, iter=46330/80000, loss=0.1512, lr=0.004589, batch_cost=0.8417, reader_cost=0.0006 | ETA 07:52:20 2020-12-17 00:08:53 [INFO] [TRAIN] epoch=125, iter=46340/80000, loss=0.2032, lr=0.004588, batch_cost=0.8530, reader_cost=0.0016 | ETA 07:58:32 2020-12-17 00:09:01 [INFO] [TRAIN] epoch=125, iter=46350/80000, loss=0.2078, lr=0.004587, batch_cost=0.8375, reader_cost=0.0001 | ETA 07:49:42 2020-12-17 00:09:09 [INFO] [TRAIN] epoch=125, iter=46360/80000, loss=0.1542, lr=0.004586, batch_cost=0.8055, reader_cost=0.0001 | ETA 07:31:36 2020-12-17 00:09:18 [INFO] [TRAIN] epoch=125, iter=46370/80000, loss=0.1496, lr=0.004584, batch_cost=0.8198, reader_cost=0.0010 | ETA 07:39:30 2020-12-17 00:09:26 [INFO] [TRAIN] epoch=125, iter=46380/80000, loss=0.1567, lr=0.004583, batch_cost=0.7882, reader_cost=0.0015 | ETA 07:21:38 2020-12-17 00:09:34 [INFO] [TRAIN] epoch=125, iter=46390/80000, loss=0.1774, lr=0.004582, batch_cost=0.8670, reader_cost=0.0001 | ETA 08:05:39 2020-12-17 00:09:43 [INFO] [TRAIN] epoch=125, iter=46400/80000, loss=0.1589, lr=0.004581, batch_cost=0.8456, reader_cost=0.0015 | ETA 07:53:33 2020-12-17 00:09:51 [INFO] [TRAIN] epoch=125, iter=46410/80000, loss=0.2016, lr=0.004580, batch_cost=0.8701, reader_cost=0.0013 | ETA 08:07:07 2020-12-17 00:09:59 [INFO] [TRAIN] epoch=125, iter=46420/80000, loss=0.1583, lr=0.004578, batch_cost=0.7684, reader_cost=0.0013 | ETA 07:10:04 2020-12-17 00:10:07 [INFO] [TRAIN] epoch=125, iter=46430/80000, loss=0.1992, lr=0.004577, batch_cost=0.7690, reader_cost=0.0019 | ETA 07:10:16 2020-12-17 00:10:16 [INFO] [TRAIN] epoch=125, iter=46440/80000, loss=0.1686, lr=0.004576, batch_cost=0.8878, reader_cost=0.0043 | ETA 08:16:34 2020-12-17 00:10:24 [INFO] [TRAIN] epoch=125, iter=46450/80000, loss=0.1946, lr=0.004575, batch_cost=0.8690, reader_cost=0.0028 | ETA 08:05:55 2020-12-17 00:10:33 [INFO] [TRAIN] epoch=125, iter=46460/80000, loss=0.1481, lr=0.004573, batch_cost=0.8550, reader_cost=0.0005 | ETA 07:57:55 2020-12-17 00:10:40 [INFO] [TRAIN] epoch=125, iter=46470/80000, loss=0.1731, lr=0.004572, batch_cost=0.7475, reader_cost=0.0020 | ETA 06:57:42 2020-12-17 00:10:48 [INFO] [TRAIN] epoch=125, iter=46480/80000, loss=0.1620, lr=0.004571, batch_cost=0.8074, reader_cost=0.0001 | ETA 07:31:04 2020-12-17 00:10:57 [INFO] [TRAIN] epoch=125, iter=46490/80000, loss=0.1461, lr=0.004570, batch_cost=0.8063, reader_cost=0.0005 | ETA 07:30:17 2020-12-17 00:11:04 [INFO] [TRAIN] epoch=125, iter=46500/80000, loss=0.1612, lr=0.004568, batch_cost=0.7040, reader_cost=0.0025 | ETA 06:33:03 2020-12-17 00:11:11 [INFO] [TRAIN] epoch=126, iter=46510/80000, loss=0.1604, lr=0.004567, batch_cost=0.7661, reader_cost=0.0675 | ETA 07:07:35 2020-12-17 00:11:17 [INFO] [TRAIN] epoch=126, iter=46520/80000, loss=0.2140, lr=0.004566, batch_cost=0.5713, reader_cost=0.0002 | ETA 05:18:46 2020-12-17 00:11:25 [INFO] [TRAIN] epoch=126, iter=46530/80000, loss=0.1999, lr=0.004565, batch_cost=0.8160, reader_cost=0.0016 | ETA 07:35:10 2020-12-17 00:11:33 [INFO] [TRAIN] epoch=126, iter=46540/80000, loss=0.1932, lr=0.004564, batch_cost=0.7620, reader_cost=0.0034 | ETA 07:04:57 2020-12-17 00:11:41 [INFO] [TRAIN] epoch=126, iter=46550/80000, loss=0.1656, lr=0.004562, batch_cost=0.8177, reader_cost=0.0009 | ETA 07:35:50 2020-12-17 00:11:50 [INFO] [TRAIN] epoch=126, iter=46560/80000, loss=0.1979, lr=0.004561, batch_cost=0.8694, reader_cost=0.0023 | ETA 08:04:32 2020-12-17 00:11:58 [INFO] [TRAIN] epoch=126, iter=46570/80000, loss=0.1776, lr=0.004560, batch_cost=0.8236, reader_cost=0.0019 | ETA 07:38:52 2020-12-17 00:12:06 [INFO] [TRAIN] epoch=126, iter=46580/80000, loss=0.1773, lr=0.004559, batch_cost=0.8655, reader_cost=0.0001 | ETA 08:02:04 2020-12-17 00:12:16 [INFO] [TRAIN] epoch=126, iter=46590/80000, loss=0.1512, lr=0.004557, batch_cost=0.9686, reader_cost=0.0030 | ETA 08:59:20 2020-12-17 00:12:25 [INFO] [TRAIN] epoch=126, iter=46600/80000, loss=0.1897, lr=0.004556, batch_cost=0.8699, reader_cost=0.0015 | ETA 08:04:14 2020-12-17 00:12:35 [INFO] [TRAIN] epoch=126, iter=46610/80000, loss=0.1746, lr=0.004555, batch_cost=0.9624, reader_cost=0.0025 | ETA 08:55:33 2020-12-17 00:12:43 [INFO] [TRAIN] epoch=126, iter=46620/80000, loss=0.2180, lr=0.004554, batch_cost=0.8973, reader_cost=0.0031 | ETA 08:19:12 2020-12-17 00:12:51 [INFO] [TRAIN] epoch=126, iter=46630/80000, loss=0.1788, lr=0.004553, batch_cost=0.7725, reader_cost=0.0002 | ETA 07:09:38 2020-12-17 00:12:59 [INFO] [TRAIN] epoch=126, iter=46640/80000, loss=0.2076, lr=0.004551, batch_cost=0.8007, reader_cost=0.0008 | ETA 07:25:11 2020-12-17 00:13:08 [INFO] [TRAIN] epoch=126, iter=46650/80000, loss=0.2049, lr=0.004550, batch_cost=0.8575, reader_cost=0.0020 | ETA 07:56:38 2020-12-17 00:13:16 [INFO] [TRAIN] epoch=126, iter=46660/80000, loss=0.1702, lr=0.004549, batch_cost=0.8199, reader_cost=0.0027 | ETA 07:35:35 2020-12-17 00:13:24 [INFO] [TRAIN] epoch=126, iter=46670/80000, loss=0.1394, lr=0.004548, batch_cost=0.8222, reader_cost=0.0007 | ETA 07:36:43 2020-12-17 00:13:33 [INFO] [TRAIN] epoch=126, iter=46680/80000, loss=0.1745, lr=0.004546, batch_cost=0.8988, reader_cost=0.0001 | ETA 08:19:09 2020-12-17 00:13:41 [INFO] [TRAIN] epoch=126, iter=46690/80000, loss=0.2253, lr=0.004545, batch_cost=0.7905, reader_cost=0.0005 | ETA 07:18:51 2020-12-17 00:13:49 [INFO] [TRAIN] epoch=126, iter=46700/80000, loss=0.1894, lr=0.004544, batch_cost=0.8070, reader_cost=0.0010 | ETA 07:27:53 2020-12-17 00:13:57 [INFO] [TRAIN] epoch=126, iter=46710/80000, loss=0.1745, lr=0.004543, batch_cost=0.7918, reader_cost=0.0051 | ETA 07:19:18 2020-12-17 00:14:05 [INFO] [TRAIN] epoch=126, iter=46720/80000, loss=0.1339, lr=0.004541, batch_cost=0.7862, reader_cost=0.0009 | ETA 07:16:04 2020-12-17 00:14:13 [INFO] [TRAIN] epoch=126, iter=46730/80000, loss=0.2706, lr=0.004540, batch_cost=0.7964, reader_cost=0.0018 | ETA 07:21:37 2020-12-17 00:14:21 [INFO] [TRAIN] epoch=126, iter=46740/80000, loss=0.1523, lr=0.004539, batch_cost=0.7783, reader_cost=0.0059 | ETA 07:11:24 2020-12-17 00:14:29 [INFO] [TRAIN] epoch=126, iter=46750/80000, loss=0.1972, lr=0.004538, batch_cost=0.8039, reader_cost=0.0068 | ETA 07:25:28 2020-12-17 00:14:37 [INFO] [TRAIN] epoch=126, iter=46760/80000, loss=0.1969, lr=0.004537, batch_cost=0.8396, reader_cost=0.0002 | ETA 07:45:09 2020-12-17 00:14:45 [INFO] [TRAIN] epoch=126, iter=46770/80000, loss=0.2065, lr=0.004535, batch_cost=0.7374, reader_cost=0.0006 | ETA 06:48:23 2020-12-17 00:14:53 [INFO] [TRAIN] epoch=126, iter=46780/80000, loss=0.1477, lr=0.004534, batch_cost=0.8052, reader_cost=0.0001 | ETA 07:25:47 2020-12-17 00:15:01 [INFO] [TRAIN] epoch=126, iter=46790/80000, loss=0.1929, lr=0.004533, batch_cost=0.8409, reader_cost=0.0018 | ETA 07:45:26 2020-12-17 00:15:09 [INFO] [TRAIN] epoch=126, iter=46800/80000, loss=0.1701, lr=0.004532, batch_cost=0.8379, reader_cost=0.0110 | ETA 07:43:39 2020-12-17 00:15:17 [INFO] [TRAIN] epoch=126, iter=46810/80000, loss=0.2026, lr=0.004530, batch_cost=0.7943, reader_cost=0.0003 | ETA 07:19:23 2020-12-17 00:15:26 [INFO] [TRAIN] epoch=126, iter=46820/80000, loss=0.1954, lr=0.004529, batch_cost=0.8240, reader_cost=0.0002 | ETA 07:35:41 2020-12-17 00:15:34 [INFO] [TRAIN] epoch=126, iter=46830/80000, loss=0.1521, lr=0.004528, batch_cost=0.8421, reader_cost=0.0002 | ETA 07:45:33 2020-12-17 00:15:42 [INFO] [TRAIN] epoch=126, iter=46840/80000, loss=0.2143, lr=0.004527, batch_cost=0.8110, reader_cost=0.0015 | ETA 07:28:13 2020-12-17 00:15:47 [INFO] [TRAIN] epoch=126, iter=46850/80000, loss=0.2304, lr=0.004525, batch_cost=0.5300, reader_cost=0.0001 | ETA 04:52:50 2020-12-17 00:15:53 [INFO] [TRAIN] epoch=126, iter=46860/80000, loss=0.1921, lr=0.004524, batch_cost=0.5963, reader_cost=0.0001 | ETA 05:29:22 2020-12-17 00:16:00 [INFO] [TRAIN] epoch=126, iter=46870/80000, loss=0.2084, lr=0.004523, batch_cost=0.7017, reader_cost=0.0010 | ETA 06:27:27 2020-12-17 00:16:09 [INFO] [TRAIN] epoch=127, iter=46880/80000, loss=0.1902, lr=0.004522, batch_cost=0.8506, reader_cost=0.1028 | ETA 07:49:33 2020-12-17 00:16:17 [INFO] [TRAIN] epoch=127, iter=46890/80000, loss=0.1708, lr=0.004521, batch_cost=0.8206, reader_cost=0.0005 | ETA 07:32:49 2020-12-17 00:16:26 [INFO] [TRAIN] epoch=127, iter=46900/80000, loss=0.1758, lr=0.004519, batch_cost=0.8384, reader_cost=0.0014 | ETA 07:42:32 2020-12-17 00:16:35 [INFO] [TRAIN] epoch=127, iter=46910/80000, loss=0.2014, lr=0.004518, batch_cost=0.9065, reader_cost=0.0012 | ETA 08:19:55 2020-12-17 00:16:42 [INFO] [TRAIN] epoch=127, iter=46920/80000, loss=0.1657, lr=0.004517, batch_cost=0.7820, reader_cost=0.0002 | ETA 07:11:09 2020-12-17 00:16:52 [INFO] [TRAIN] epoch=127, iter=46930/80000, loss=0.1991, lr=0.004516, batch_cost=0.9186, reader_cost=0.0001 | ETA 08:26:16 2020-12-17 00:16:59 [INFO] [TRAIN] epoch=127, iter=46940/80000, loss=0.1597, lr=0.004514, batch_cost=0.7770, reader_cost=0.0033 | ETA 07:08:06 2020-12-17 00:17:07 [INFO] [TRAIN] epoch=127, iter=46950/80000, loss=0.1684, lr=0.004513, batch_cost=0.7699, reader_cost=0.0052 | ETA 07:04:03 2020-12-17 00:17:15 [INFO] [TRAIN] epoch=127, iter=46960/80000, loss=0.1756, lr=0.004512, batch_cost=0.8001, reader_cost=0.0019 | ETA 07:20:36 2020-12-17 00:17:22 [INFO] [TRAIN] epoch=127, iter=46970/80000, loss=0.2555, lr=0.004511, batch_cost=0.7194, reader_cost=0.0075 | ETA 06:36:02 2020-12-17 00:17:30 [INFO] [TRAIN] epoch=127, iter=46980/80000, loss=0.1650, lr=0.004510, batch_cost=0.8021, reader_cost=0.0008 | ETA 07:21:24 2020-12-17 00:17:39 [INFO] [TRAIN] epoch=127, iter=46990/80000, loss=0.1789, lr=0.004508, batch_cost=0.8363, reader_cost=0.0001 | ETA 07:40:06 aug_eval False scales 1.0 2020-12-17 00:17:47 [INFO] [TRAIN] epoch=127, iter=47000/80000, loss=0.1873, lr=0.004507, batch_cost=0.7754, reader_cost=0.0020 | ETA 07:06:26 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:17:47 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 00:18:29 [INFO] [EVAL] #Images=500 mIoU=0.7738 Acc=0.9585 Kappa=0.9461 2020-12-17 00:18:29 [INFO] [EVAL] Class IoU: [0.9806 0.8458 0.9189 0.484 0.5744 0.5919 0.6991 0.777 0.9209 0.6688 0.9469 0.8085 0.6201 0.9472 0.8432 0.8587 0.8078 0.6413 0.7663] 2020-12-17 00:18:29 [INFO] [EVAL] Class Acc: [0.9898 0.9302 0.9479 0.9023 0.7819 0.7798 0.8127 0.9037 0.9511 0.8438 0.97 0.8916 0.7542 0.9712 0.918 0.9309 0.9018 0.8089 0.8583] 2020-12-17 00:18:34 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-17 00:18:43 [INFO] [TRAIN] epoch=127, iter=47010/80000, loss=0.1500, lr=0.004506, batch_cost=0.9040, reader_cost=0.0001 | ETA 08:17:01 2020-12-17 00:18:52 [INFO] [TRAIN] epoch=127, iter=47020/80000, loss=0.2134, lr=0.004505, batch_cost=0.9186, reader_cost=0.0034 | ETA 08:24:55 2020-12-17 00:19:01 [INFO] [TRAIN] epoch=127, iter=47030/80000, loss=0.2000, lr=0.004503, batch_cost=0.8447, reader_cost=0.0025 | ETA 07:44:08 2020-12-17 00:19:09 [INFO] [TRAIN] epoch=127, iter=47040/80000, loss=0.2079, lr=0.004502, batch_cost=0.8301, reader_cost=0.0047 | ETA 07:35:59 2020-12-17 00:19:17 [INFO] [TRAIN] epoch=127, iter=47050/80000, loss=0.1810, lr=0.004501, batch_cost=0.7902, reader_cost=0.0030 | ETA 07:13:56 2020-12-17 00:19:25 [INFO] [TRAIN] epoch=127, iter=47060/80000, loss=0.1666, lr=0.004500, batch_cost=0.7728, reader_cost=0.0042 | ETA 07:04:17 2020-12-17 00:19:33 [INFO] [TRAIN] epoch=127, iter=47070/80000, loss=0.1795, lr=0.004498, batch_cost=0.8135, reader_cost=0.0001 | ETA 07:26:29 2020-12-17 00:19:42 [INFO] [TRAIN] epoch=127, iter=47080/80000, loss=0.1667, lr=0.004497, batch_cost=0.8816, reader_cost=0.0059 | ETA 08:03:43 2020-12-17 00:19:50 [INFO] [TRAIN] epoch=127, iter=47090/80000, loss=0.1641, lr=0.004496, batch_cost=0.8033, reader_cost=0.0002 | ETA 07:20:37 2020-12-17 00:19:58 [INFO] [TRAIN] epoch=127, iter=47100/80000, loss=0.1483, lr=0.004495, batch_cost=0.8396, reader_cost=0.0032 | ETA 07:40:23 2020-12-17 00:20:06 [INFO] [TRAIN] epoch=127, iter=47110/80000, loss=0.1751, lr=0.004494, batch_cost=0.8021, reader_cost=0.0026 | ETA 07:19:40 2020-12-17 00:20:14 [INFO] [TRAIN] epoch=127, iter=47120/80000, loss=0.1982, lr=0.004492, batch_cost=0.7931, reader_cost=0.0036 | ETA 07:14:35 2020-12-17 00:20:21 [INFO] [TRAIN] epoch=127, iter=47130/80000, loss=0.2143, lr=0.004491, batch_cost=0.6567, reader_cost=0.0014 | ETA 05:59:45 2020-12-17 00:20:26 [INFO] [TRAIN] epoch=127, iter=47140/80000, loss=0.2389, lr=0.004490, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:54:10 2020-12-17 00:20:32 [INFO] [TRAIN] epoch=127, iter=47150/80000, loss=0.1753, lr=0.004489, batch_cost=0.6414, reader_cost=0.0001 | ETA 05:51:10 2020-12-17 00:20:40 [INFO] [TRAIN] epoch=127, iter=47160/80000, loss=0.2709, lr=0.004487, batch_cost=0.7735, reader_cost=0.0001 | ETA 07:03:20 2020-12-17 00:20:50 [INFO] [TRAIN] epoch=127, iter=47170/80000, loss=0.2387, lr=0.004486, batch_cost=0.9462, reader_cost=0.0001 | ETA 08:37:43 2020-12-17 00:20:58 [INFO] [TRAIN] epoch=127, iter=47180/80000, loss=0.2103, lr=0.004485, batch_cost=0.8095, reader_cost=0.0032 | ETA 07:22:47 2020-12-17 00:21:06 [INFO] [TRAIN] epoch=127, iter=47190/80000, loss=0.2268, lr=0.004484, batch_cost=0.8117, reader_cost=0.0012 | ETA 07:23:51 2020-12-17 00:21:14 [INFO] [TRAIN] epoch=127, iter=47200/80000, loss=0.2416, lr=0.004482, batch_cost=0.7995, reader_cost=0.0024 | ETA 07:17:02 2020-12-17 00:21:22 [INFO] [TRAIN] epoch=127, iter=47210/80000, loss=0.1264, lr=0.004481, batch_cost=0.7830, reader_cost=0.0021 | ETA 07:07:53 2020-12-17 00:21:30 [INFO] [TRAIN] epoch=127, iter=47220/80000, loss=0.1305, lr=0.004480, batch_cost=0.8737, reader_cost=0.0012 | ETA 07:57:18 2020-12-17 00:21:39 [INFO] [TRAIN] epoch=127, iter=47230/80000, loss=0.1439, lr=0.004479, batch_cost=0.8136, reader_cost=0.0007 | ETA 07:24:23 2020-12-17 00:21:46 [INFO] [TRAIN] epoch=127, iter=47240/80000, loss=0.1630, lr=0.004478, batch_cost=0.7913, reader_cost=0.0017 | ETA 07:12:01 2020-12-17 00:21:55 [INFO] [TRAIN] epoch=128, iter=47250/80000, loss=0.1927, lr=0.004476, batch_cost=0.8290, reader_cost=0.0794 | ETA 07:32:30 2020-12-17 00:22:03 [INFO] [TRAIN] epoch=128, iter=47260/80000, loss=0.1710, lr=0.004475, batch_cost=0.8285, reader_cost=0.0001 | ETA 07:32:03 2020-12-17 00:22:11 [INFO] [TRAIN] epoch=128, iter=47270/80000, loss=0.1392, lr=0.004474, batch_cost=0.8419, reader_cost=0.0007 | ETA 07:39:16 2020-12-17 00:22:20 [INFO] [TRAIN] epoch=128, iter=47280/80000, loss=0.2442, lr=0.004473, batch_cost=0.8981, reader_cost=0.0015 | ETA 08:09:44 2020-12-17 00:22:29 [INFO] [TRAIN] epoch=128, iter=47290/80000, loss=0.2055, lr=0.004471, batch_cost=0.8277, reader_cost=0.0005 | ETA 07:31:14 2020-12-17 00:22:37 [INFO] [TRAIN] epoch=128, iter=47300/80000, loss=0.1747, lr=0.004470, batch_cost=0.7901, reader_cost=0.0014 | ETA 07:10:35 2020-12-17 00:22:45 [INFO] [TRAIN] epoch=128, iter=47310/80000, loss=0.2150, lr=0.004469, batch_cost=0.7828, reader_cost=0.0013 | ETA 07:06:29 2020-12-17 00:22:53 [INFO] [TRAIN] epoch=128, iter=47320/80000, loss=0.1500, lr=0.004468, batch_cost=0.8495, reader_cost=0.0008 | ETA 07:42:40 2020-12-17 00:23:01 [INFO] [TRAIN] epoch=128, iter=47330/80000, loss=0.1731, lr=0.004466, batch_cost=0.8461, reader_cost=0.0014 | ETA 07:40:43 2020-12-17 00:23:10 [INFO] [TRAIN] epoch=128, iter=47340/80000, loss=0.1277, lr=0.004465, batch_cost=0.8586, reader_cost=0.0056 | ETA 07:47:20 2020-12-17 00:23:18 [INFO] [TRAIN] epoch=128, iter=47350/80000, loss=0.1572, lr=0.004464, batch_cost=0.7500, reader_cost=0.0033 | ETA 06:48:08 2020-12-17 00:23:26 [INFO] [TRAIN] epoch=128, iter=47360/80000, loss=0.1598, lr=0.004463, batch_cost=0.8496, reader_cost=0.0001 | ETA 07:42:12 2020-12-17 00:23:35 [INFO] [TRAIN] epoch=128, iter=47370/80000, loss=0.1783, lr=0.004462, batch_cost=0.8782, reader_cost=0.0010 | ETA 07:57:37 2020-12-17 00:23:43 [INFO] [TRAIN] epoch=128, iter=47380/80000, loss=0.1886, lr=0.004460, batch_cost=0.8311, reader_cost=0.0002 | ETA 07:31:49 2020-12-17 00:23:50 [INFO] [TRAIN] epoch=128, iter=47390/80000, loss=0.1630, lr=0.004459, batch_cost=0.7331, reader_cost=0.0016 | ETA 06:38:25 2020-12-17 00:23:58 [INFO] [TRAIN] epoch=128, iter=47400/80000, loss=0.1358, lr=0.004458, batch_cost=0.7198, reader_cost=0.0026 | ETA 06:31:06 2020-12-17 00:24:05 [INFO] [TRAIN] epoch=128, iter=47410/80000, loss=0.2180, lr=0.004457, batch_cost=0.7581, reader_cost=0.0025 | ETA 06:51:46 2020-12-17 00:24:15 [INFO] [TRAIN] epoch=128, iter=47420/80000, loss=0.1425, lr=0.004455, batch_cost=0.9725, reader_cost=0.0015 | ETA 08:48:04 2020-12-17 00:24:23 [INFO] [TRAIN] epoch=128, iter=47430/80000, loss=0.1877, lr=0.004454, batch_cost=0.7542, reader_cost=0.0019 | ETA 06:49:22 2020-12-17 00:24:31 [INFO] [TRAIN] epoch=128, iter=47440/80000, loss=0.1737, lr=0.004453, batch_cost=0.8004, reader_cost=0.0013 | ETA 07:14:22 2020-12-17 00:24:38 [INFO] [TRAIN] epoch=128, iter=47450/80000, loss=0.1702, lr=0.004452, batch_cost=0.7576, reader_cost=0.0017 | ETA 06:51:00 2020-12-17 00:24:45 [INFO] [TRAIN] epoch=128, iter=47460/80000, loss=0.1612, lr=0.004450, batch_cost=0.7146, reader_cost=0.0014 | ETA 06:27:34 2020-12-17 00:24:53 [INFO] [TRAIN] epoch=128, iter=47470/80000, loss=0.3698, lr=0.004449, batch_cost=0.7424, reader_cost=0.0002 | ETA 06:42:30 2020-12-17 00:25:01 [INFO] [TRAIN] epoch=128, iter=47480/80000, loss=0.1980, lr=0.004448, batch_cost=0.7914, reader_cost=0.0037 | ETA 07:08:55 2020-12-17 00:25:06 [INFO] [TRAIN] epoch=128, iter=47490/80000, loss=0.1676, lr=0.004447, batch_cost=0.5595, reader_cost=0.0001 | ETA 05:03:08 2020-12-17 00:25:12 [INFO] [TRAIN] epoch=128, iter=47500/80000, loss=0.1989, lr=0.004446, batch_cost=0.5861, reader_cost=0.0001 | ETA 05:17:27 2020-12-17 00:25:20 [INFO] [TRAIN] epoch=128, iter=47510/80000, loss=0.1640, lr=0.004444, batch_cost=0.8027, reader_cost=0.0019 | ETA 07:14:38 2020-12-17 00:25:26 [INFO] [TRAIN] epoch=128, iter=47520/80000, loss=0.1926, lr=0.004443, batch_cost=0.6059, reader_cost=0.0001 | ETA 05:27:59 2020-12-17 00:25:31 [INFO] [TRAIN] epoch=128, iter=47530/80000, loss=0.2162, lr=0.004442, batch_cost=0.5155, reader_cost=0.0001 | ETA 04:38:57 2020-12-17 00:25:37 [INFO] [TRAIN] epoch=128, iter=47540/80000, loss=0.2420, lr=0.004441, batch_cost=0.5434, reader_cost=0.0001 | ETA 04:53:57 2020-12-17 00:25:42 [INFO] [TRAIN] epoch=128, iter=47550/80000, loss=0.1743, lr=0.004439, batch_cost=0.5482, reader_cost=0.0001 | ETA 04:56:28 2020-12-17 00:25:48 [INFO] [TRAIN] epoch=128, iter=47560/80000, loss=0.2417, lr=0.004438, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:53:35 2020-12-17 00:25:53 [INFO] [TRAIN] epoch=128, iter=47570/80000, loss=0.1801, lr=0.004437, batch_cost=0.5317, reader_cost=0.0006 | ETA 04:47:22 2020-12-17 00:25:58 [INFO] [TRAIN] epoch=128, iter=47580/80000, loss=0.1652, lr=0.004436, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:50:07 2020-12-17 00:26:06 [INFO] [TRAIN] epoch=128, iter=47590/80000, loss=0.2134, lr=0.004434, batch_cost=0.7458, reader_cost=0.0030 | ETA 06:42:49 2020-12-17 00:26:14 [INFO] [TRAIN] epoch=128, iter=47600/80000, loss=0.1846, lr=0.004433, batch_cost=0.8070, reader_cost=0.0007 | ETA 07:15:46 2020-12-17 00:26:21 [INFO] [TRAIN] epoch=128, iter=47610/80000, loss=0.1973, lr=0.004432, batch_cost=0.6911, reader_cost=0.0018 | ETA 06:13:05 2020-12-17 00:26:28 [INFO] [TRAIN] epoch=129, iter=47620/80000, loss=0.1505, lr=0.004431, batch_cost=0.7148, reader_cost=0.0642 | ETA 06:25:44 2020-12-17 00:26:35 [INFO] [TRAIN] epoch=129, iter=47630/80000, loss=0.2084, lr=0.004430, batch_cost=0.7220, reader_cost=0.0004 | ETA 06:29:32 2020-12-17 00:26:44 [INFO] [TRAIN] epoch=129, iter=47640/80000, loss=0.1554, lr=0.004428, batch_cost=0.8438, reader_cost=0.0020 | ETA 07:35:06 2020-12-17 00:26:52 [INFO] [TRAIN] epoch=129, iter=47650/80000, loss=0.1900, lr=0.004427, batch_cost=0.8376, reader_cost=0.0006 | ETA 07:31:35 2020-12-17 00:27:00 [INFO] [TRAIN] epoch=129, iter=47660/80000, loss=0.1504, lr=0.004426, batch_cost=0.7865, reader_cost=0.0001 | ETA 07:03:53 2020-12-17 00:27:08 [INFO] [TRAIN] epoch=129, iter=47670/80000, loss=0.1898, lr=0.004425, batch_cost=0.8113, reader_cost=0.0007 | ETA 07:17:07 2020-12-17 00:27:15 [INFO] [TRAIN] epoch=129, iter=47680/80000, loss=0.2643, lr=0.004423, batch_cost=0.7498, reader_cost=0.0002 | ETA 06:43:52 2020-12-17 00:27:23 [INFO] [TRAIN] epoch=129, iter=47690/80000, loss=0.1929, lr=0.004422, batch_cost=0.7577, reader_cost=0.0038 | ETA 06:47:59 2020-12-17 00:27:30 [INFO] [TRAIN] epoch=129, iter=47700/80000, loss=0.1998, lr=0.004421, batch_cost=0.7370, reader_cost=0.0001 | ETA 06:36:46 2020-12-17 00:27:38 [INFO] [TRAIN] epoch=129, iter=47710/80000, loss=0.1946, lr=0.004420, batch_cost=0.7471, reader_cost=0.0001 | ETA 06:42:03 2020-12-17 00:27:46 [INFO] [TRAIN] epoch=129, iter=47720/80000, loss=0.1526, lr=0.004418, batch_cost=0.8040, reader_cost=0.0049 | ETA 07:12:33 2020-12-17 00:27:53 [INFO] [TRAIN] epoch=129, iter=47730/80000, loss=0.1851, lr=0.004417, batch_cost=0.7392, reader_cost=0.0004 | ETA 06:37:35 2020-12-17 00:28:01 [INFO] [TRAIN] epoch=129, iter=47740/80000, loss=0.1456, lr=0.004416, batch_cost=0.7873, reader_cost=0.0017 | ETA 07:03:17 2020-12-17 00:28:09 [INFO] [TRAIN] epoch=129, iter=47750/80000, loss=0.1228, lr=0.004415, batch_cost=0.7383, reader_cost=0.0030 | ETA 06:36:50 2020-12-17 00:28:16 [INFO] [TRAIN] epoch=129, iter=47760/80000, loss=0.1590, lr=0.004414, batch_cost=0.7434, reader_cost=0.0001 | ETA 06:39:27 2020-12-17 00:28:24 [INFO] [TRAIN] epoch=129, iter=47770/80000, loss=0.1421, lr=0.004412, batch_cost=0.8395, reader_cost=0.0042 | ETA 07:30:56 2020-12-17 00:28:32 [INFO] [TRAIN] epoch=129, iter=47780/80000, loss=0.1609, lr=0.004411, batch_cost=0.7546, reader_cost=0.0001 | ETA 06:45:12 2020-12-17 00:28:39 [INFO] [TRAIN] epoch=129, iter=47790/80000, loss=0.1703, lr=0.004410, batch_cost=0.7549, reader_cost=0.0012 | ETA 06:45:15 2020-12-17 00:28:48 [INFO] [TRAIN] epoch=129, iter=47800/80000, loss=0.2235, lr=0.004409, batch_cost=0.8179, reader_cost=0.0015 | ETA 07:18:57 2020-12-17 00:28:55 [INFO] [TRAIN] epoch=129, iter=47810/80000, loss=0.1575, lr=0.004407, batch_cost=0.6928, reader_cost=0.0018 | ETA 06:11:41 2020-12-17 00:29:02 [INFO] [TRAIN] epoch=129, iter=47820/80000, loss=0.1814, lr=0.004406, batch_cost=0.7104, reader_cost=0.0025 | ETA 06:21:01 2020-12-17 00:29:09 [INFO] [TRAIN] epoch=129, iter=47830/80000, loss=0.2055, lr=0.004405, batch_cost=0.7528, reader_cost=0.0015 | ETA 06:43:37 2020-12-17 00:29:17 [INFO] [TRAIN] epoch=129, iter=47840/80000, loss=0.1367, lr=0.004404, batch_cost=0.7797, reader_cost=0.0017 | ETA 06:57:53 2020-12-17 00:29:24 [INFO] [TRAIN] epoch=129, iter=47850/80000, loss=0.1726, lr=0.004402, batch_cost=0.6896, reader_cost=0.0001 | ETA 06:09:29 2020-12-17 00:29:31 [INFO] [TRAIN] epoch=129, iter=47860/80000, loss=0.1818, lr=0.004401, batch_cost=0.7434, reader_cost=0.0006 | ETA 06:38:13 2020-12-17 00:29:40 [INFO] [TRAIN] epoch=129, iter=47870/80000, loss=0.2213, lr=0.004400, batch_cost=0.8194, reader_cost=0.0011 | ETA 07:18:48 2020-12-17 00:29:48 [INFO] [TRAIN] epoch=129, iter=47880/80000, loss=0.1614, lr=0.004399, batch_cost=0.8398, reader_cost=0.0037 | ETA 07:29:32 2020-12-17 00:29:56 [INFO] [TRAIN] epoch=129, iter=47890/80000, loss=0.1718, lr=0.004398, batch_cost=0.8489, reader_cost=0.0001 | ETA 07:34:18 2020-12-17 00:30:05 [INFO] [TRAIN] epoch=129, iter=47900/80000, loss=0.1602, lr=0.004396, batch_cost=0.8902, reader_cost=0.0006 | ETA 07:56:14 2020-12-17 00:30:14 [INFO] [TRAIN] epoch=129, iter=47910/80000, loss=0.1583, lr=0.004395, batch_cost=0.8313, reader_cost=0.0024 | ETA 07:24:36 2020-12-17 00:30:19 [INFO] [TRAIN] epoch=129, iter=47920/80000, loss=0.1587, lr=0.004394, batch_cost=0.5633, reader_cost=0.0004 | ETA 05:01:11 2020-12-17 00:30:25 [INFO] [TRAIN] epoch=129, iter=47930/80000, loss=0.1932, lr=0.004393, batch_cost=0.5838, reader_cost=0.0013 | ETA 05:12:02 2020-12-17 00:30:33 [INFO] [TRAIN] epoch=129, iter=47940/80000, loss=0.2650, lr=0.004391, batch_cost=0.8067, reader_cost=0.0016 | ETA 07:11:01 2020-12-17 00:30:41 [INFO] [TRAIN] epoch=129, iter=47950/80000, loss=0.2098, lr=0.004390, batch_cost=0.8113, reader_cost=0.0031 | ETA 07:13:20 2020-12-17 00:30:49 [INFO] [TRAIN] epoch=129, iter=47960/80000, loss=0.1615, lr=0.004389, batch_cost=0.8061, reader_cost=0.0001 | ETA 07:10:27 2020-12-17 00:30:58 [INFO] [TRAIN] epoch=129, iter=47970/80000, loss=0.1671, lr=0.004388, batch_cost=0.8159, reader_cost=0.0007 | ETA 07:15:32 2020-12-17 00:31:06 [INFO] [TRAIN] epoch=129, iter=47980/80000, loss=0.1478, lr=0.004386, batch_cost=0.8588, reader_cost=0.0041 | ETA 07:38:19 2020-12-17 00:31:14 [INFO] [TRAIN] epoch=130, iter=47990/80000, loss=0.1361, lr=0.004385, batch_cost=0.7803, reader_cost=0.0754 | ETA 06:56:16 2020-12-17 00:31:23 [INFO] [TRAIN] epoch=130, iter=48000/80000, loss=0.1517, lr=0.004384, batch_cost=0.8561, reader_cost=0.0001 | ETA 07:36:34 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:31:23 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:32:08 [INFO] [EVAL] #Images=500 mIoU=0.7542 Acc=0.9555 Kappa=0.9421 2020-12-17 00:32:08 [INFO] [EVAL] Class IoU: [0.9784 0.8297 0.9169 0.3983 0.5481 0.5824 0.6811 0.7671 0.9168 0.6107 0.9437 0.8029 0.593 0.9424 0.785 0.8413 0.794 0.6297 0.7675] 2020-12-17 00:32:08 [INFO] [EVAL] Class Acc: [0.9877 0.9177 0.9487 0.8733 0.6979 0.7641 0.7935 0.9063 0.9478 0.8932 0.9645 0.8874 0.8224 0.9675 0.9254 0.9239 0.9202 0.7395 0.8513] 2020-12-17 00:32:13 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-17 00:32:20 [INFO] [TRAIN] epoch=130, iter=48010/80000, loss=0.1733, lr=0.004383, batch_cost=0.7892, reader_cost=0.0021 | ETA 07:00:45 2020-12-17 00:32:28 [INFO] [TRAIN] epoch=130, iter=48020/80000, loss=0.2083, lr=0.004381, batch_cost=0.7914, reader_cost=0.0007 | ETA 07:01:49 2020-12-17 00:32:36 [INFO] [TRAIN] epoch=130, iter=48030/80000, loss=0.1609, lr=0.004380, batch_cost=0.7615, reader_cost=0.0024 | ETA 06:45:46 2020-12-17 00:32:44 [INFO] [TRAIN] epoch=130, iter=48040/80000, loss=0.1860, lr=0.004379, batch_cost=0.7668, reader_cost=0.0039 | ETA 06:48:25 2020-12-17 00:32:52 [INFO] [TRAIN] epoch=130, iter=48050/80000, loss=0.1643, lr=0.004378, batch_cost=0.8759, reader_cost=0.0002 | ETA 07:46:23 2020-12-17 00:33:00 [INFO] [TRAIN] epoch=130, iter=48060/80000, loss=0.1988, lr=0.004377, batch_cost=0.7503, reader_cost=0.0004 | ETA 06:39:24 2020-12-17 00:33:08 [INFO] [TRAIN] epoch=130, iter=48070/80000, loss=0.1755, lr=0.004375, batch_cost=0.8273, reader_cost=0.0074 | ETA 07:20:15 2020-12-17 00:33:16 [INFO] [TRAIN] epoch=130, iter=48080/80000, loss=0.2223, lr=0.004374, batch_cost=0.8268, reader_cost=0.0020 | ETA 07:19:52 2020-12-17 00:33:24 [INFO] [TRAIN] epoch=130, iter=48090/80000, loss=0.1561, lr=0.004373, batch_cost=0.7751, reader_cost=0.0001 | ETA 06:52:11 2020-12-17 00:33:32 [INFO] [TRAIN] epoch=130, iter=48100/80000, loss=0.1619, lr=0.004372, batch_cost=0.8212, reader_cost=0.0004 | ETA 07:16:34 2020-12-17 00:33:41 [INFO] [TRAIN] epoch=130, iter=48110/80000, loss=0.2142, lr=0.004370, batch_cost=0.8659, reader_cost=0.0008 | ETA 07:40:14 2020-12-17 00:33:49 [INFO] [TRAIN] epoch=130, iter=48120/80000, loss=0.2032, lr=0.004369, batch_cost=0.7806, reader_cost=0.0031 | ETA 06:54:46 2020-12-17 00:33:57 [INFO] [TRAIN] epoch=130, iter=48130/80000, loss=0.1863, lr=0.004368, batch_cost=0.7731, reader_cost=0.0001 | ETA 06:50:40 2020-12-17 00:34:04 [INFO] [TRAIN] epoch=130, iter=48140/80000, loss=0.1465, lr=0.004367, batch_cost=0.7844, reader_cost=0.0001 | ETA 06:56:31 2020-12-17 00:34:12 [INFO] [TRAIN] epoch=130, iter=48150/80000, loss=0.1583, lr=0.004365, batch_cost=0.7219, reader_cost=0.0019 | ETA 06:23:13 2020-12-17 00:34:20 [INFO] [TRAIN] epoch=130, iter=48160/80000, loss=0.2111, lr=0.004364, batch_cost=0.8633, reader_cost=0.0014 | ETA 07:38:07 2020-12-17 00:34:28 [INFO] [TRAIN] epoch=130, iter=48170/80000, loss=0.1454, lr=0.004363, batch_cost=0.7222, reader_cost=0.0001 | ETA 06:23:07 2020-12-17 00:34:35 [INFO] [TRAIN] epoch=130, iter=48180/80000, loss=0.1484, lr=0.004362, batch_cost=0.7776, reader_cost=0.0029 | ETA 06:52:22 2020-12-17 00:34:44 [INFO] [TRAIN] epoch=130, iter=48190/80000, loss=0.1740, lr=0.004361, batch_cost=0.8280, reader_cost=0.0006 | ETA 07:18:59 2020-12-17 00:34:51 [INFO] [TRAIN] epoch=130, iter=48200/80000, loss=0.1438, lr=0.004359, batch_cost=0.7793, reader_cost=0.0001 | ETA 06:53:00 2020-12-17 00:34:57 [INFO] [TRAIN] epoch=130, iter=48210/80000, loss=0.1675, lr=0.004358, batch_cost=0.5587, reader_cost=0.0001 | ETA 04:56:02 2020-12-17 00:35:03 [INFO] [TRAIN] epoch=130, iter=48220/80000, loss=0.1431, lr=0.004357, batch_cost=0.6358, reader_cost=0.0001 | ETA 05:36:47 2020-12-17 00:35:11 [INFO] [TRAIN] epoch=130, iter=48230/80000, loss=0.1947, lr=0.004356, batch_cost=0.7899, reader_cost=0.0023 | ETA 06:58:13 2020-12-17 00:35:19 [INFO] [TRAIN] epoch=130, iter=48240/80000, loss=0.3276, lr=0.004354, batch_cost=0.8225, reader_cost=0.0050 | ETA 07:15:22 2020-12-17 00:35:28 [INFO] [TRAIN] epoch=130, iter=48250/80000, loss=0.1740, lr=0.004353, batch_cost=0.8168, reader_cost=0.0001 | ETA 07:12:14 2020-12-17 00:35:36 [INFO] [TRAIN] epoch=130, iter=48260/80000, loss=0.2347, lr=0.004352, batch_cost=0.8355, reader_cost=0.0024 | ETA 07:21:58 2020-12-17 00:35:45 [INFO] [TRAIN] epoch=130, iter=48270/80000, loss=0.1726, lr=0.004351, batch_cost=0.8636, reader_cost=0.0027 | ETA 07:36:41 2020-12-17 00:35:53 [INFO] [TRAIN] epoch=130, iter=48280/80000, loss=0.2006, lr=0.004349, batch_cost=0.8212, reader_cost=0.0029 | ETA 07:14:08 2020-12-17 00:36:01 [INFO] [TRAIN] epoch=130, iter=48290/80000, loss=0.1981, lr=0.004348, batch_cost=0.8054, reader_cost=0.0029 | ETA 07:05:39 2020-12-17 00:36:10 [INFO] [TRAIN] epoch=130, iter=48300/80000, loss=0.2130, lr=0.004347, batch_cost=0.8617, reader_cost=0.0018 | ETA 07:35:17 2020-12-17 00:36:18 [INFO] [TRAIN] epoch=130, iter=48310/80000, loss=0.1699, lr=0.004346, batch_cost=0.8401, reader_cost=0.0019 | ETA 07:23:41 2020-12-17 00:36:25 [INFO] [TRAIN] epoch=130, iter=48320/80000, loss=0.1521, lr=0.004344, batch_cost=0.7578, reader_cost=0.0013 | ETA 06:40:08 2020-12-17 00:36:33 [INFO] [TRAIN] epoch=130, iter=48330/80000, loss=0.1938, lr=0.004343, batch_cost=0.7583, reader_cost=0.0007 | ETA 06:40:15 2020-12-17 00:36:41 [INFO] [TRAIN] epoch=130, iter=48340/80000, loss=0.1592, lr=0.004342, batch_cost=0.8167, reader_cost=0.0006 | ETA 07:10:55 2020-12-17 00:36:49 [INFO] [TRAIN] epoch=130, iter=48350/80000, loss=0.2209, lr=0.004341, batch_cost=0.8036, reader_cost=0.0022 | ETA 07:03:52 2020-12-17 00:36:56 [INFO] [TRAIN] epoch=130, iter=48360/80000, loss=0.3329, lr=0.004340, batch_cost=0.6942, reader_cost=0.0019 | ETA 06:06:05 2020-12-17 00:37:06 [INFO] [TRAIN] epoch=131, iter=48370/80000, loss=0.2048, lr=0.004338, batch_cost=0.9656, reader_cost=0.0624 | ETA 08:29:00 2020-12-17 00:37:15 [INFO] [TRAIN] epoch=131, iter=48380/80000, loss=0.1620, lr=0.004337, batch_cost=0.8854, reader_cost=0.0001 | ETA 07:46:36 2020-12-17 00:37:23 [INFO] [TRAIN] epoch=131, iter=48390/80000, loss=0.2192, lr=0.004336, batch_cost=0.8381, reader_cost=0.0035 | ETA 07:21:30 2020-12-17 00:37:31 [INFO] [TRAIN] epoch=131, iter=48400/80000, loss=0.1536, lr=0.004335, batch_cost=0.7918, reader_cost=0.0020 | ETA 06:57:01 2020-12-17 00:37:39 [INFO] [TRAIN] epoch=131, iter=48410/80000, loss=0.1372, lr=0.004333, batch_cost=0.7582, reader_cost=0.0029 | ETA 06:39:12 2020-12-17 00:37:48 [INFO] [TRAIN] epoch=131, iter=48420/80000, loss=0.1724, lr=0.004332, batch_cost=0.8931, reader_cost=0.0025 | ETA 07:50:04 2020-12-17 00:37:56 [INFO] [TRAIN] epoch=131, iter=48430/80000, loss=0.1779, lr=0.004331, batch_cost=0.7951, reader_cost=0.0009 | ETA 06:58:20 2020-12-17 00:38:04 [INFO] [TRAIN] epoch=131, iter=48440/80000, loss=0.1580, lr=0.004330, batch_cost=0.8504, reader_cost=0.0001 | ETA 07:27:19 2020-12-17 00:38:12 [INFO] [TRAIN] epoch=131, iter=48450/80000, loss=0.1420, lr=0.004328, batch_cost=0.7547, reader_cost=0.0027 | ETA 06:36:49 2020-12-17 00:38:19 [INFO] [TRAIN] epoch=131, iter=48460/80000, loss=0.1660, lr=0.004327, batch_cost=0.7861, reader_cost=0.0003 | ETA 06:53:14 2020-12-17 00:38:27 [INFO] [TRAIN] epoch=131, iter=48470/80000, loss=0.1600, lr=0.004326, batch_cost=0.7818, reader_cost=0.0005 | ETA 06:50:50 2020-12-17 00:38:34 [INFO] [TRAIN] epoch=131, iter=48480/80000, loss=0.1229, lr=0.004325, batch_cost=0.7166, reader_cost=0.0005 | ETA 06:16:28 2020-12-17 00:38:42 [INFO] [TRAIN] epoch=131, iter=48490/80000, loss=0.2273, lr=0.004323, batch_cost=0.7770, reader_cost=0.0020 | ETA 06:48:02 2020-12-17 00:38:49 [INFO] [TRAIN] epoch=131, iter=48500/80000, loss=0.2047, lr=0.004322, batch_cost=0.7155, reader_cost=0.0031 | ETA 06:15:36 2020-12-17 00:38:57 [INFO] [TRAIN] epoch=131, iter=48510/80000, loss=0.1485, lr=0.004321, batch_cost=0.7466, reader_cost=0.0001 | ETA 06:31:51 2020-12-17 00:39:04 [INFO] [TRAIN] epoch=131, iter=48520/80000, loss=0.1716, lr=0.004320, batch_cost=0.7283, reader_cost=0.0007 | ETA 06:22:05 2020-12-17 00:39:11 [INFO] [TRAIN] epoch=131, iter=48530/80000, loss=0.1813, lr=0.004319, batch_cost=0.6671, reader_cost=0.0001 | ETA 05:49:53 2020-12-17 00:39:18 [INFO] [TRAIN] epoch=131, iter=48540/80000, loss=0.2046, lr=0.004317, batch_cost=0.7698, reader_cost=0.0007 | ETA 06:43:36 2020-12-17 00:39:27 [INFO] [TRAIN] epoch=131, iter=48550/80000, loss=0.1730, lr=0.004316, batch_cost=0.8577, reader_cost=0.0005 | ETA 07:29:35 2020-12-17 00:39:33 [INFO] [TRAIN] epoch=131, iter=48560/80000, loss=0.1841, lr=0.004315, batch_cost=0.5474, reader_cost=0.0001 | ETA 04:46:50 2020-12-17 00:39:38 [INFO] [TRAIN] epoch=131, iter=48570/80000, loss=0.1734, lr=0.004314, batch_cost=0.5877, reader_cost=0.0001 | ETA 05:07:49 2020-12-17 00:39:46 [INFO] [TRAIN] epoch=131, iter=48580/80000, loss=0.1814, lr=0.004312, batch_cost=0.7888, reader_cost=0.0013 | ETA 06:53:03 2020-12-17 00:39:54 [INFO] [TRAIN] epoch=131, iter=48590/80000, loss=0.2037, lr=0.004311, batch_cost=0.8203, reader_cost=0.0020 | ETA 07:09:27 2020-12-17 00:40:03 [INFO] [TRAIN] epoch=131, iter=48600/80000, loss=0.1281, lr=0.004310, batch_cost=0.8737, reader_cost=0.0028 | ETA 07:37:13 2020-12-17 00:40:11 [INFO] [TRAIN] epoch=131, iter=48610/80000, loss=0.1311, lr=0.004309, batch_cost=0.8143, reader_cost=0.0002 | ETA 07:06:01 2020-12-17 00:40:19 [INFO] [TRAIN] epoch=131, iter=48620/80000, loss=0.1419, lr=0.004307, batch_cost=0.7568, reader_cost=0.0040 | ETA 06:35:48 2020-12-17 00:40:27 [INFO] [TRAIN] epoch=131, iter=48630/80000, loss=0.1489, lr=0.004306, batch_cost=0.8347, reader_cost=0.0023 | ETA 07:16:25 2020-12-17 00:40:36 [INFO] [TRAIN] epoch=131, iter=48640/80000, loss=0.2528, lr=0.004305, batch_cost=0.8690, reader_cost=0.0017 | ETA 07:34:12 2020-12-17 00:40:44 [INFO] [TRAIN] epoch=131, iter=48650/80000, loss=0.1398, lr=0.004304, batch_cost=0.8122, reader_cost=0.0014 | ETA 07:04:23 2020-12-17 00:40:52 [INFO] [TRAIN] epoch=131, iter=48660/80000, loss=0.1647, lr=0.004302, batch_cost=0.8220, reader_cost=0.0046 | ETA 07:09:20 2020-12-17 00:41:01 [INFO] [TRAIN] epoch=131, iter=48670/80000, loss=0.2270, lr=0.004301, batch_cost=0.8179, reader_cost=0.0041 | ETA 07:07:03 2020-12-17 00:41:09 [INFO] [TRAIN] epoch=131, iter=48680/80000, loss=0.1586, lr=0.004300, batch_cost=0.8127, reader_cost=0.0007 | ETA 07:04:13 2020-12-17 00:41:17 [INFO] [TRAIN] epoch=131, iter=48690/80000, loss=0.1584, lr=0.004299, batch_cost=0.8356, reader_cost=0.0008 | ETA 07:16:02 2020-12-17 00:41:26 [INFO] [TRAIN] epoch=131, iter=48700/80000, loss=0.1470, lr=0.004298, batch_cost=0.9010, reader_cost=0.0016 | ETA 07:50:02 2020-12-17 00:41:34 [INFO] [TRAIN] epoch=131, iter=48710/80000, loss=0.2168, lr=0.004296, batch_cost=0.8219, reader_cost=0.0001 | ETA 07:08:36 2020-12-17 00:41:43 [INFO] [TRAIN] epoch=131, iter=48720/80000, loss=0.1455, lr=0.004295, batch_cost=0.8756, reader_cost=0.0008 | ETA 07:36:29 2020-12-17 00:41:51 [INFO] [TRAIN] epoch=131, iter=48730/80000, loss=0.1834, lr=0.004294, batch_cost=0.7715, reader_cost=0.0001 | ETA 06:42:04 2020-12-17 00:42:00 [INFO] [TRAIN] epoch=132, iter=48740/80000, loss=0.1778, lr=0.004293, batch_cost=0.9412, reader_cost=0.0713 | ETA 08:10:22 2020-12-17 00:42:09 [INFO] [TRAIN] epoch=132, iter=48750/80000, loss=0.1655, lr=0.004291, batch_cost=0.8903, reader_cost=0.0037 | ETA 07:43:40 2020-12-17 00:42:17 [INFO] [TRAIN] epoch=132, iter=48760/80000, loss=0.2285, lr=0.004290, batch_cost=0.8295, reader_cost=0.0001 | ETA 07:11:52 2020-12-17 00:42:26 [INFO] [TRAIN] epoch=132, iter=48770/80000, loss=0.2567, lr=0.004289, batch_cost=0.8362, reader_cost=0.0045 | ETA 07:15:14 2020-12-17 00:42:34 [INFO] [TRAIN] epoch=132, iter=48780/80000, loss=0.1424, lr=0.004288, batch_cost=0.8549, reader_cost=0.0015 | ETA 07:24:51 2020-12-17 00:42:42 [INFO] [TRAIN] epoch=132, iter=48790/80000, loss=0.3249, lr=0.004286, batch_cost=0.8197, reader_cost=0.0013 | ETA 07:06:21 2020-12-17 00:42:50 [INFO] [TRAIN] epoch=132, iter=48800/80000, loss=0.1685, lr=0.004285, batch_cost=0.7944, reader_cost=0.0029 | ETA 06:53:04 2020-12-17 00:42:58 [INFO] [TRAIN] epoch=132, iter=48810/80000, loss=0.1745, lr=0.004284, batch_cost=0.8110, reader_cost=0.0001 | ETA 07:01:36 2020-12-17 00:43:07 [INFO] [TRAIN] epoch=132, iter=48820/80000, loss=0.1704, lr=0.004283, batch_cost=0.8387, reader_cost=0.0005 | ETA 07:15:49 2020-12-17 00:43:15 [INFO] [TRAIN] epoch=132, iter=48830/80000, loss=0.1477, lr=0.004281, batch_cost=0.8131, reader_cost=0.0001 | ETA 07:02:23 2020-12-17 00:43:22 [INFO] [TRAIN] epoch=132, iter=48840/80000, loss=0.2180, lr=0.004280, batch_cost=0.7398, reader_cost=0.0001 | ETA 06:24:12 2020-12-17 00:43:30 [INFO] [TRAIN] epoch=132, iter=48850/80000, loss=0.1979, lr=0.004279, batch_cost=0.7894, reader_cost=0.0003 | ETA 06:49:51 2020-12-17 00:43:38 [INFO] [TRAIN] epoch=132, iter=48860/80000, loss=0.1330, lr=0.004278, batch_cost=0.8170, reader_cost=0.0021 | ETA 07:04:02 2020-12-17 00:43:46 [INFO] [TRAIN] epoch=132, iter=48870/80000, loss=0.1501, lr=0.004277, batch_cost=0.7653, reader_cost=0.0017 | ETA 06:37:03 2020-12-17 00:43:54 [INFO] [TRAIN] epoch=132, iter=48880/80000, loss=0.2660, lr=0.004275, batch_cost=0.8014, reader_cost=0.0002 | ETA 06:55:38 2020-12-17 00:44:01 [INFO] [TRAIN] epoch=132, iter=48890/80000, loss=0.2926, lr=0.004274, batch_cost=0.7282, reader_cost=0.0002 | ETA 06:17:35 2020-12-17 00:44:08 [INFO] [TRAIN] epoch=132, iter=48900/80000, loss=0.4394, lr=0.004273, batch_cost=0.7058, reader_cost=0.0007 | ETA 06:05:50 2020-12-17 00:44:14 [INFO] [TRAIN] epoch=132, iter=48910/80000, loss=0.1940, lr=0.004272, batch_cost=0.5522, reader_cost=0.0001 | ETA 04:46:09 2020-12-17 00:44:21 [INFO] [TRAIN] epoch=132, iter=48920/80000, loss=0.1606, lr=0.004270, batch_cost=0.7067, reader_cost=0.0001 | ETA 06:06:04 2020-12-17 00:44:29 [INFO] [TRAIN] epoch=132, iter=48930/80000, loss=0.1666, lr=0.004269, batch_cost=0.8264, reader_cost=0.0006 | ETA 07:07:57 2020-12-17 00:44:38 [INFO] [TRAIN] epoch=132, iter=48940/80000, loss=0.1859, lr=0.004268, batch_cost=0.8537, reader_cost=0.0007 | ETA 07:21:54 2020-12-17 00:44:47 [INFO] [TRAIN] epoch=132, iter=48950/80000, loss=0.1952, lr=0.004267, batch_cost=0.8701, reader_cost=0.0028 | ETA 07:30:17 2020-12-17 00:44:55 [INFO] [TRAIN] epoch=132, iter=48960/80000, loss=0.1652, lr=0.004265, batch_cost=0.7955, reader_cost=0.0054 | ETA 06:51:31 2020-12-17 00:45:04 [INFO] [TRAIN] epoch=132, iter=48970/80000, loss=0.1759, lr=0.004264, batch_cost=0.9308, reader_cost=0.0035 | ETA 08:01:22 2020-12-17 00:45:12 [INFO] [TRAIN] epoch=132, iter=48980/80000, loss=0.1915, lr=0.004263, batch_cost=0.8523, reader_cost=0.0014 | ETA 07:20:37 2020-12-17 00:45:21 [INFO] [TRAIN] epoch=132, iter=48990/80000, loss=0.1436, lr=0.004262, batch_cost=0.8458, reader_cost=0.0014 | ETA 07:17:08 2020-12-17 00:45:30 [INFO] [TRAIN] epoch=132, iter=49000/80000, loss=0.1867, lr=0.004260, batch_cost=0.9540, reader_cost=0.0012 | ETA 08:12:54 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:45:30 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:46:13 [INFO] [EVAL] #Images=500 mIoU=0.7620 Acc=0.9579 Kappa=0.9454 2020-12-17 00:46:13 [INFO] [EVAL] Class IoU: [0.9811 0.8416 0.9203 0.4747 0.5871 0.5898 0.6948 0.7755 0.9205 0.6353 0.9436 0.8092 0.6251 0.9449 0.7833 0.8405 0.6973 0.6436 0.7692] 2020-12-17 00:46:13 [INFO] [EVAL] Class Acc: [0.9898 0.9137 0.9527 0.8038 0.7851 0.7696 0.8328 0.888 0.9552 0.8355 0.9659 0.889 0.7612 0.9638 0.9025 0.9147 0.9698 0.8128 0.8609] 2020-12-17 00:46:17 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-17 00:46:24 [INFO] [TRAIN] epoch=132, iter=49010/80000, loss=0.1658, lr=0.004259, batch_cost=0.7077, reader_cost=0.0001 | ETA 06:05:30 2020-12-17 00:46:33 [INFO] [TRAIN] epoch=132, iter=49020/80000, loss=0.2125, lr=0.004258, batch_cost=0.8438, reader_cost=0.0008 | ETA 07:15:40 2020-12-17 00:46:41 [INFO] [TRAIN] epoch=132, iter=49030/80000, loss=0.1671, lr=0.004257, batch_cost=0.8675, reader_cost=0.0002 | ETA 07:27:46 2020-12-17 00:46:49 [INFO] [TRAIN] epoch=132, iter=49040/80000, loss=0.1616, lr=0.004256, batch_cost=0.7819, reader_cost=0.0026 | ETA 06:43:26 2020-12-17 00:46:58 [INFO] [TRAIN] epoch=132, iter=49050/80000, loss=0.3299, lr=0.004254, batch_cost=0.8587, reader_cost=0.0050 | ETA 07:22:55 2020-12-17 00:47:07 [INFO] [TRAIN] epoch=132, iter=49060/80000, loss=0.2176, lr=0.004253, batch_cost=0.8923, reader_cost=0.0009 | ETA 07:40:09 2020-12-17 00:47:14 [INFO] [TRAIN] epoch=132, iter=49070/80000, loss=0.2074, lr=0.004252, batch_cost=0.7315, reader_cost=0.0004 | ETA 06:17:05 2020-12-17 00:47:22 [INFO] [TRAIN] epoch=132, iter=49080/80000, loss=0.1666, lr=0.004251, batch_cost=0.7716, reader_cost=0.0001 | ETA 06:37:38 2020-12-17 00:47:31 [INFO] [TRAIN] epoch=132, iter=49090/80000, loss=0.2066, lr=0.004249, batch_cost=0.9028, reader_cost=0.0012 | ETA 07:45:05 2020-12-17 00:47:38 [INFO] [TRAIN] epoch=132, iter=49100/80000, loss=0.1889, lr=0.004248, batch_cost=0.7191, reader_cost=0.0020 | ETA 06:10:19 2020-12-17 00:47:46 [INFO] [TRAIN] epoch=133, iter=49110/80000, loss=0.1991, lr=0.004247, batch_cost=0.8623, reader_cost=0.1040 | ETA 07:23:57 2020-12-17 00:47:55 [INFO] [TRAIN] epoch=133, iter=49120/80000, loss=0.1663, lr=0.004246, batch_cost=0.8398, reader_cost=0.0001 | ETA 07:12:12 2020-12-17 00:48:03 [INFO] [TRAIN] epoch=133, iter=49130/80000, loss=0.1582, lr=0.004244, batch_cost=0.8154, reader_cost=0.0001 | ETA 06:59:31 2020-12-17 00:48:11 [INFO] [TRAIN] epoch=133, iter=49140/80000, loss=0.1186, lr=0.004243, batch_cost=0.8233, reader_cost=0.0066 | ETA 07:03:28 2020-12-17 00:48:20 [INFO] [TRAIN] epoch=133, iter=49150/80000, loss=0.1794, lr=0.004242, batch_cost=0.8491, reader_cost=0.0005 | ETA 07:16:33 2020-12-17 00:48:28 [INFO] [TRAIN] epoch=133, iter=49160/80000, loss=0.2124, lr=0.004241, batch_cost=0.7990, reader_cost=0.0001 | ETA 06:50:42 2020-12-17 00:48:36 [INFO] [TRAIN] epoch=133, iter=49170/80000, loss=0.1883, lr=0.004239, batch_cost=0.8390, reader_cost=0.0002 | ETA 07:11:06 2020-12-17 00:48:43 [INFO] [TRAIN] epoch=133, iter=49180/80000, loss=0.1667, lr=0.004238, batch_cost=0.7236, reader_cost=0.0001 | ETA 06:11:41 2020-12-17 00:48:49 [INFO] [TRAIN] epoch=133, iter=49190/80000, loss=0.1788, lr=0.004237, batch_cost=0.5341, reader_cost=0.0001 | ETA 04:34:16 2020-12-17 00:48:55 [INFO] [TRAIN] epoch=133, iter=49200/80000, loss=0.1594, lr=0.004236, batch_cost=0.6327, reader_cost=0.0006 | ETA 05:24:48 2020-12-17 00:49:03 [INFO] [TRAIN] epoch=133, iter=49210/80000, loss=0.2025, lr=0.004234, batch_cost=0.7772, reader_cost=0.0001 | ETA 06:38:49 2020-12-17 00:49:10 [INFO] [TRAIN] epoch=133, iter=49220/80000, loss=0.1997, lr=0.004233, batch_cost=0.7473, reader_cost=0.0007 | ETA 06:23:20 2020-12-17 00:49:17 [INFO] [TRAIN] epoch=133, iter=49230/80000, loss=0.1864, lr=0.004232, batch_cost=0.7262, reader_cost=0.0027 | ETA 06:12:25 2020-12-17 00:49:25 [INFO] [TRAIN] epoch=133, iter=49240/80000, loss=0.1834, lr=0.004231, batch_cost=0.7825, reader_cost=0.0003 | ETA 06:41:10 2020-12-17 00:49:33 [INFO] [TRAIN] epoch=133, iter=49250/80000, loss=0.1738, lr=0.004230, batch_cost=0.7550, reader_cost=0.0001 | ETA 06:26:56 2020-12-17 00:49:41 [INFO] [TRAIN] epoch=133, iter=49260/80000, loss=0.1699, lr=0.004228, batch_cost=0.7725, reader_cost=0.0001 | ETA 06:35:45 2020-12-17 00:49:49 [INFO] [TRAIN] epoch=133, iter=49270/80000, loss=0.1767, lr=0.004227, batch_cost=0.8062, reader_cost=0.0027 | ETA 06:52:55 2020-12-17 00:49:57 [INFO] [TRAIN] epoch=133, iter=49280/80000, loss=0.1610, lr=0.004226, batch_cost=0.8121, reader_cost=0.0001 | ETA 06:55:47 2020-12-17 00:50:05 [INFO] [TRAIN] epoch=133, iter=49290/80000, loss=0.1660, lr=0.004225, batch_cost=0.7842, reader_cost=0.0006 | ETA 06:41:23 2020-12-17 00:50:13 [INFO] [TRAIN] epoch=133, iter=49300/80000, loss=0.1869, lr=0.004223, batch_cost=0.8280, reader_cost=0.0014 | ETA 07:03:38 2020-12-17 00:50:21 [INFO] [TRAIN] epoch=133, iter=49310/80000, loss=0.1784, lr=0.004222, batch_cost=0.7796, reader_cost=0.0007 | ETA 06:38:44 2020-12-17 00:50:28 [INFO] [TRAIN] epoch=133, iter=49320/80000, loss=0.1299, lr=0.004221, batch_cost=0.7757, reader_cost=0.0021 | ETA 06:36:38 2020-12-17 00:50:36 [INFO] [TRAIN] epoch=133, iter=49330/80000, loss=0.1561, lr=0.004220, batch_cost=0.7244, reader_cost=0.0030 | ETA 06:10:16 2020-12-17 00:50:44 [INFO] [TRAIN] epoch=133, iter=49340/80000, loss=0.1502, lr=0.004218, batch_cost=0.7833, reader_cost=0.0023 | ETA 06:40:16 2020-12-17 00:50:49 [INFO] [TRAIN] epoch=133, iter=49350/80000, loss=0.1705, lr=0.004217, batch_cost=0.5775, reader_cost=0.0024 | ETA 04:55:00 2020-12-17 00:50:55 [INFO] [TRAIN] epoch=133, iter=49360/80000, loss=0.1913, lr=0.004216, batch_cost=0.5446, reader_cost=0.0001 | ETA 04:38:07 2020-12-17 00:51:00 [INFO] [TRAIN] epoch=133, iter=49370/80000, loss=0.1570, lr=0.004215, batch_cost=0.5331, reader_cost=0.0002 | ETA 04:32:08 2020-12-17 00:51:06 [INFO] [TRAIN] epoch=133, iter=49380/80000, loss=0.1722, lr=0.004213, batch_cost=0.5413, reader_cost=0.0002 | ETA 04:36:14 2020-12-17 00:51:11 [INFO] [TRAIN] epoch=133, iter=49390/80000, loss=0.1536, lr=0.004212, batch_cost=0.5434, reader_cost=0.0002 | ETA 04:37:12 2020-12-17 00:51:16 [INFO] [TRAIN] epoch=133, iter=49400/80000, loss=0.1517, lr=0.004211, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:34:40 2020-12-17 00:51:22 [INFO] [TRAIN] epoch=133, iter=49410/80000, loss=0.2181, lr=0.004210, batch_cost=0.5549, reader_cost=0.0002 | ETA 04:42:54 2020-12-17 00:51:30 [INFO] [TRAIN] epoch=133, iter=49420/80000, loss=0.1550, lr=0.004208, batch_cost=0.7620, reader_cost=0.0013 | ETA 06:28:22 2020-12-17 00:51:37 [INFO] [TRAIN] epoch=133, iter=49430/80000, loss=0.1851, lr=0.004207, batch_cost=0.7620, reader_cost=0.0004 | ETA 06:28:13 2020-12-17 00:51:45 [INFO] [TRAIN] epoch=133, iter=49440/80000, loss=0.1590, lr=0.004206, batch_cost=0.8118, reader_cost=0.0014 | ETA 06:53:29 2020-12-17 00:51:52 [INFO] [TRAIN] epoch=133, iter=49450/80000, loss=0.1576, lr=0.004205, batch_cost=0.7129, reader_cost=0.0017 | ETA 06:02:59 2020-12-17 00:52:00 [INFO] [TRAIN] epoch=133, iter=49460/80000, loss=0.2243, lr=0.004204, batch_cost=0.7726, reader_cost=0.0064 | ETA 06:33:16 2020-12-17 00:52:08 [INFO] [TRAIN] epoch=133, iter=49470/80000, loss=0.1818, lr=0.004202, batch_cost=0.8271, reader_cost=0.0024 | ETA 07:00:51 2020-12-17 00:52:16 [INFO] [TRAIN] epoch=134, iter=49480/80000, loss=0.1625, lr=0.004201, batch_cost=0.7645, reader_cost=0.0545 | ETA 06:28:53 2020-12-17 00:52:25 [INFO] [TRAIN] epoch=134, iter=49490/80000, loss=0.1942, lr=0.004200, batch_cost=0.8627, reader_cost=0.0005 | ETA 07:18:41 2020-12-17 00:52:32 [INFO] [TRAIN] epoch=134, iter=49500/80000, loss=0.1406, lr=0.004199, batch_cost=0.6927, reader_cost=0.0022 | ETA 05:52:07 2020-12-17 00:52:39 [INFO] [TRAIN] epoch=134, iter=49510/80000, loss=0.1263, lr=0.004197, batch_cost=0.7266, reader_cost=0.0018 | ETA 06:09:15 2020-12-17 00:52:47 [INFO] [TRAIN] epoch=134, iter=49520/80000, loss=0.1638, lr=0.004196, batch_cost=0.8537, reader_cost=0.0002 | ETA 07:13:41 2020-12-17 00:52:55 [INFO] [TRAIN] epoch=134, iter=49530/80000, loss=0.1512, lr=0.004195, batch_cost=0.7778, reader_cost=0.0001 | ETA 06:34:58 2020-12-17 00:53:04 [INFO] [TRAIN] epoch=134, iter=49540/80000, loss=0.1768, lr=0.004194, batch_cost=0.8565, reader_cost=0.0002 | ETA 07:14:49 2020-12-17 00:53:12 [INFO] [TRAIN] epoch=134, iter=49550/80000, loss=0.1499, lr=0.004192, batch_cost=0.8139, reader_cost=0.0001 | ETA 06:53:04 2020-12-17 00:53:20 [INFO] [TRAIN] epoch=134, iter=49560/80000, loss=0.1975, lr=0.004191, batch_cost=0.8059, reader_cost=0.0005 | ETA 06:48:53 2020-12-17 00:53:28 [INFO] [TRAIN] epoch=134, iter=49570/80000, loss=0.1453, lr=0.004190, batch_cost=0.7875, reader_cost=0.0007 | ETA 06:39:24 2020-12-17 00:53:36 [INFO] [TRAIN] epoch=134, iter=49580/80000, loss=0.1744, lr=0.004189, batch_cost=0.7982, reader_cost=0.0001 | ETA 06:44:41 2020-12-17 00:53:44 [INFO] [TRAIN] epoch=134, iter=49590/80000, loss=0.1689, lr=0.004187, batch_cost=0.8069, reader_cost=0.0018 | ETA 06:48:56 2020-12-17 00:53:52 [INFO] [TRAIN] epoch=134, iter=49600/80000, loss=0.1983, lr=0.004186, batch_cost=0.8026, reader_cost=0.0040 | ETA 06:46:38 2020-12-17 00:53:57 [INFO] [TRAIN] epoch=134, iter=49610/80000, loss=0.1398, lr=0.004185, batch_cost=0.5534, reader_cost=0.0001 | ETA 04:40:18 2020-12-17 00:54:03 [INFO] [TRAIN] epoch=134, iter=49620/80000, loss=0.2004, lr=0.004184, batch_cost=0.5662, reader_cost=0.0001 | ETA 04:46:42 2020-12-17 00:54:11 [INFO] [TRAIN] epoch=134, iter=49630/80000, loss=0.1738, lr=0.004182, batch_cost=0.8021, reader_cost=0.0001 | ETA 06:46:00 2020-12-17 00:54:19 [INFO] [TRAIN] epoch=134, iter=49640/80000, loss=0.1815, lr=0.004181, batch_cost=0.7337, reader_cost=0.0020 | ETA 06:11:16 2020-12-17 00:54:27 [INFO] [TRAIN] epoch=134, iter=49650/80000, loss=0.2069, lr=0.004180, batch_cost=0.8493, reader_cost=0.0001 | ETA 07:09:35 2020-12-17 00:54:35 [INFO] [TRAIN] epoch=134, iter=49660/80000, loss=0.1828, lr=0.004179, batch_cost=0.8416, reader_cost=0.0009 | ETA 07:05:34 2020-12-17 00:54:44 [INFO] [TRAIN] epoch=134, iter=49670/80000, loss=0.1707, lr=0.004178, batch_cost=0.8589, reader_cost=0.0012 | ETA 07:14:09 2020-12-17 00:54:51 [INFO] [TRAIN] epoch=134, iter=49680/80000, loss=0.1404, lr=0.004176, batch_cost=0.7359, reader_cost=0.0038 | ETA 06:11:53 2020-12-17 00:54:59 [INFO] [TRAIN] epoch=134, iter=49690/80000, loss=0.1956, lr=0.004175, batch_cost=0.7922, reader_cost=0.0001 | ETA 06:40:10 2020-12-17 00:55:07 [INFO] [TRAIN] epoch=134, iter=49700/80000, loss=0.1462, lr=0.004174, batch_cost=0.7728, reader_cost=0.0003 | ETA 06:30:16 2020-12-17 00:55:15 [INFO] [TRAIN] epoch=134, iter=49710/80000, loss=0.1537, lr=0.004173, batch_cost=0.7624, reader_cost=0.0001 | ETA 06:24:52 2020-12-17 00:55:22 [INFO] [TRAIN] epoch=134, iter=49720/80000, loss=0.1768, lr=0.004171, batch_cost=0.7803, reader_cost=0.0025 | ETA 06:33:47 2020-12-17 00:55:30 [INFO] [TRAIN] epoch=134, iter=49730/80000, loss=0.1810, lr=0.004170, batch_cost=0.7572, reader_cost=0.0022 | ETA 06:22:01 2020-12-17 00:55:38 [INFO] [TRAIN] epoch=134, iter=49740/80000, loss=0.1785, lr=0.004169, batch_cost=0.7790, reader_cost=0.0060 | ETA 06:32:51 2020-12-17 00:55:46 [INFO] [TRAIN] epoch=134, iter=49750/80000, loss=0.1625, lr=0.004168, batch_cost=0.8629, reader_cost=0.0040 | ETA 07:15:01 2020-12-17 00:55:54 [INFO] [TRAIN] epoch=134, iter=49760/80000, loss=0.2183, lr=0.004166, batch_cost=0.7928, reader_cost=0.0015 | ETA 06:39:32 2020-12-17 00:56:03 [INFO] [TRAIN] epoch=134, iter=49770/80000, loss=0.3737, lr=0.004165, batch_cost=0.8295, reader_cost=0.0013 | ETA 06:57:56 2020-12-17 00:56:12 [INFO] [TRAIN] epoch=134, iter=49780/80000, loss=0.1742, lr=0.004164, batch_cost=0.8858, reader_cost=0.0042 | ETA 07:26:07 2020-12-17 00:56:19 [INFO] [TRAIN] epoch=134, iter=49790/80000, loss=0.1800, lr=0.004163, batch_cost=0.7857, reader_cost=0.0019 | ETA 06:35:37 2020-12-17 00:56:28 [INFO] [TRAIN] epoch=134, iter=49800/80000, loss=0.1856, lr=0.004161, batch_cost=0.8302, reader_cost=0.0019 | ETA 06:57:50 2020-12-17 00:56:36 [INFO] [TRAIN] epoch=134, iter=49810/80000, loss=0.1992, lr=0.004160, batch_cost=0.8137, reader_cost=0.0006 | ETA 06:49:25 2020-12-17 00:56:44 [INFO] [TRAIN] epoch=134, iter=49820/80000, loss=0.2020, lr=0.004159, batch_cost=0.7901, reader_cost=0.0009 | ETA 06:37:24 2020-12-17 00:56:52 [INFO] [TRAIN] epoch=134, iter=49830/80000, loss=0.2422, lr=0.004158, batch_cost=0.8224, reader_cost=0.0001 | ETA 06:53:30 2020-12-17 00:57:00 [INFO] [TRAIN] epoch=134, iter=49840/80000, loss=0.1640, lr=0.004156, batch_cost=0.8334, reader_cost=0.0038 | ETA 06:58:55 2020-12-17 00:57:08 [INFO] [TRAIN] epoch=135, iter=49850/80000, loss=0.1107, lr=0.004155, batch_cost=0.7511, reader_cost=0.0755 | ETA 06:17:25 2020-12-17 00:57:16 [INFO] [TRAIN] epoch=135, iter=49860/80000, loss=0.1504, lr=0.004154, batch_cost=0.8261, reader_cost=0.0001 | ETA 06:54:57 2020-12-17 00:57:24 [INFO] [TRAIN] epoch=135, iter=49870/80000, loss=0.2546, lr=0.004153, batch_cost=0.7994, reader_cost=0.0014 | ETA 06:41:27 2020-12-17 00:57:32 [INFO] [TRAIN] epoch=135, iter=49880/80000, loss=0.2103, lr=0.004151, batch_cost=0.7656, reader_cost=0.0020 | ETA 06:24:19 2020-12-17 00:57:40 [INFO] [TRAIN] epoch=135, iter=49890/80000, loss=0.2003, lr=0.004150, batch_cost=0.7795, reader_cost=0.0025 | ETA 06:31:11 2020-12-17 00:57:48 [INFO] [TRAIN] epoch=135, iter=49900/80000, loss=0.1736, lr=0.004149, batch_cost=0.8003, reader_cost=0.0014 | ETA 06:41:27 2020-12-17 00:57:56 [INFO] [TRAIN] epoch=135, iter=49910/80000, loss=0.1585, lr=0.004148, batch_cost=0.8146, reader_cost=0.0011 | ETA 06:48:32 2020-12-17 00:58:04 [INFO] [TRAIN] epoch=135, iter=49920/80000, loss=0.1515, lr=0.004147, batch_cost=0.8635, reader_cost=0.0030 | ETA 07:12:52 2020-12-17 00:58:13 [INFO] [TRAIN] epoch=135, iter=49930/80000, loss=0.1364, lr=0.004145, batch_cost=0.8336, reader_cost=0.0041 | ETA 06:57:47 2020-12-17 00:58:21 [INFO] [TRAIN] epoch=135, iter=49940/80000, loss=0.1545, lr=0.004144, batch_cost=0.8646, reader_cost=0.0001 | ETA 07:13:09 2020-12-17 00:58:29 [INFO] [TRAIN] epoch=135, iter=49950/80000, loss=0.1864, lr=0.004143, batch_cost=0.7773, reader_cost=0.0012 | ETA 06:29:18 2020-12-17 00:58:35 [INFO] [TRAIN] epoch=135, iter=49960/80000, loss=0.1710, lr=0.004142, batch_cost=0.5735, reader_cost=0.0004 | ETA 04:47:08 2020-12-17 00:58:41 [INFO] [TRAIN] epoch=135, iter=49970/80000, loss=0.1488, lr=0.004140, batch_cost=0.5748, reader_cost=0.0001 | ETA 04:47:42 2020-12-17 00:58:48 [INFO] [TRAIN] epoch=135, iter=49980/80000, loss=0.1829, lr=0.004139, batch_cost=0.7579, reader_cost=0.0004 | ETA 06:19:13 2020-12-17 00:58:57 [INFO] [TRAIN] epoch=135, iter=49990/80000, loss=0.1256, lr=0.004138, batch_cost=0.8633, reader_cost=0.0060 | ETA 07:11:48 2020-12-17 00:59:05 [INFO] [TRAIN] epoch=135, iter=50000/80000, loss=0.1368, lr=0.004137, batch_cost=0.8479, reader_cost=0.0001 | ETA 07:03:57 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:59:05 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 00:59:48 [INFO] [EVAL] #Images=500 mIoU=0.7760 Acc=0.9587 Kappa=0.9463 2020-12-17 00:59:48 [INFO] [EVAL] Class IoU: [0.98 0.8451 0.9186 0.5274 0.5936 0.5919 0.6992 0.7771 0.9227 0.6577 0.9474 0.8072 0.6181 0.9466 0.8467 0.8718 0.8057 0.6207 0.7664] 2020-12-17 00:59:48 [INFO] [EVAL] Class Acc: [0.9902 0.9247 0.9502 0.86 0.8171 0.7764 0.8295 0.9029 0.9513 0.8502 0.9708 0.8745 0.7185 0.9711 0.9494 0.9271 0.8986 0.871 0.8523] 2020-12-17 00:59:53 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-17 01:00:01 [INFO] [TRAIN] epoch=135, iter=50010/80000, loss=0.1877, lr=0.004135, batch_cost=0.7827, reader_cost=0.0047 | ETA 06:31:13 2020-12-17 01:00:09 [INFO] [TRAIN] epoch=135, iter=50020/80000, loss=0.2704, lr=0.004134, batch_cost=0.7843, reader_cost=0.0030 | ETA 06:31:52 2020-12-17 01:00:17 [INFO] [TRAIN] epoch=135, iter=50030/80000, loss=0.1701, lr=0.004133, batch_cost=0.7789, reader_cost=0.0008 | ETA 06:29:03 2020-12-17 01:00:24 [INFO] [TRAIN] epoch=135, iter=50040/80000, loss=0.1691, lr=0.004132, batch_cost=0.7685, reader_cost=0.0011 | ETA 06:23:45 2020-12-17 01:00:32 [INFO] [TRAIN] epoch=135, iter=50050/80000, loss=0.1534, lr=0.004130, batch_cost=0.7284, reader_cost=0.0005 | ETA 06:03:34 2020-12-17 01:00:40 [INFO] [TRAIN] epoch=135, iter=50060/80000, loss=0.2241, lr=0.004129, batch_cost=0.8548, reader_cost=0.0007 | ETA 07:06:32 2020-12-17 01:00:48 [INFO] [TRAIN] epoch=135, iter=50070/80000, loss=0.1537, lr=0.004128, batch_cost=0.8113, reader_cost=0.0004 | ETA 06:44:43 2020-12-17 01:00:57 [INFO] [TRAIN] epoch=135, iter=50080/80000, loss=0.1973, lr=0.004127, batch_cost=0.8439, reader_cost=0.0027 | ETA 07:00:49 2020-12-17 01:01:05 [INFO] [TRAIN] epoch=135, iter=50090/80000, loss=0.1376, lr=0.004125, batch_cost=0.7920, reader_cost=0.0006 | ETA 06:34:47 2020-12-17 01:01:13 [INFO] [TRAIN] epoch=135, iter=50100/80000, loss=0.1870, lr=0.004124, batch_cost=0.8109, reader_cost=0.0001 | ETA 06:44:04 2020-12-17 01:01:21 [INFO] [TRAIN] epoch=135, iter=50110/80000, loss=0.1986, lr=0.004123, batch_cost=0.8390, reader_cost=0.0022 | ETA 06:57:57 2020-12-17 01:01:29 [INFO] [TRAIN] epoch=135, iter=50120/80000, loss=0.1912, lr=0.004122, batch_cost=0.8178, reader_cost=0.0037 | ETA 06:47:15 2020-12-17 01:01:38 [INFO] [TRAIN] epoch=135, iter=50130/80000, loss=0.1881, lr=0.004120, batch_cost=0.8623, reader_cost=0.0002 | ETA 07:09:17 2020-12-17 01:01:46 [INFO] [TRAIN] epoch=135, iter=50140/80000, loss=0.2074, lr=0.004119, batch_cost=0.8025, reader_cost=0.0005 | ETA 06:39:21 2020-12-17 01:01:54 [INFO] [TRAIN] epoch=135, iter=50150/80000, loss=0.2505, lr=0.004118, batch_cost=0.8229, reader_cost=0.0002 | ETA 06:49:22 2020-12-17 01:02:03 [INFO] [TRAIN] epoch=135, iter=50160/80000, loss=0.1782, lr=0.004117, batch_cost=0.8298, reader_cost=0.0020 | ETA 06:52:42 2020-12-17 01:02:10 [INFO] [TRAIN] epoch=135, iter=50170/80000, loss=0.1577, lr=0.004115, batch_cost=0.7541, reader_cost=0.0006 | ETA 06:14:55 2020-12-17 01:02:18 [INFO] [TRAIN] epoch=135, iter=50180/80000, loss=0.1550, lr=0.004114, batch_cost=0.7622, reader_cost=0.0001 | ETA 06:18:47 2020-12-17 01:02:25 [INFO] [TRAIN] epoch=135, iter=50190/80000, loss=0.1536, lr=0.004113, batch_cost=0.7533, reader_cost=0.0028 | ETA 06:14:15 2020-12-17 01:02:33 [INFO] [TRAIN] epoch=135, iter=50200/80000, loss=0.1364, lr=0.004112, batch_cost=0.7582, reader_cost=0.0005 | ETA 06:16:32 2020-12-17 01:02:41 [INFO] [TRAIN] epoch=135, iter=50210/80000, loss=0.1730, lr=0.004111, batch_cost=0.7993, reader_cost=0.0026 | ETA 06:36:51 2020-12-17 01:02:47 [INFO] [TRAIN] epoch=135, iter=50220/80000, loss=0.1745, lr=0.004109, batch_cost=0.6224, reader_cost=0.0002 | ETA 05:08:54 2020-12-17 01:02:56 [INFO] [TRAIN] epoch=136, iter=50230/80000, loss=0.1534, lr=0.004108, batch_cost=0.9089, reader_cost=0.0603 | ETA 07:30:58 2020-12-17 01:03:05 [INFO] [TRAIN] epoch=136, iter=50240/80000, loss=0.1339, lr=0.004107, batch_cost=0.8813, reader_cost=0.0007 | ETA 07:17:07 2020-12-17 01:03:12 [INFO] [TRAIN] epoch=136, iter=50250/80000, loss=0.2117, lr=0.004106, batch_cost=0.7245, reader_cost=0.0022 | ETA 05:59:14 2020-12-17 01:03:18 [INFO] [TRAIN] epoch=136, iter=50260/80000, loss=0.2025, lr=0.004104, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:27:47 2020-12-17 01:03:24 [INFO] [TRAIN] epoch=136, iter=50270/80000, loss=0.2011, lr=0.004103, batch_cost=0.6355, reader_cost=0.0023 | ETA 05:14:54 2020-12-17 01:03:32 [INFO] [TRAIN] epoch=136, iter=50280/80000, loss=0.2032, lr=0.004102, batch_cost=0.8385, reader_cost=0.0014 | ETA 06:55:20 2020-12-17 01:03:41 [INFO] [TRAIN] epoch=136, iter=50290/80000, loss=0.2275, lr=0.004101, batch_cost=0.8187, reader_cost=0.0001 | ETA 06:45:22 2020-12-17 01:03:49 [INFO] [TRAIN] epoch=136, iter=50300/80000, loss=0.1626, lr=0.004099, batch_cost=0.7894, reader_cost=0.0001 | ETA 06:30:45 2020-12-17 01:03:57 [INFO] [TRAIN] epoch=136, iter=50310/80000, loss=0.2121, lr=0.004098, batch_cost=0.8405, reader_cost=0.0014 | ETA 06:55:55 2020-12-17 01:04:04 [INFO] [TRAIN] epoch=136, iter=50320/80000, loss=0.2187, lr=0.004097, batch_cost=0.7298, reader_cost=0.0008 | ETA 06:01:01 2020-12-17 01:04:12 [INFO] [TRAIN] epoch=136, iter=50330/80000, loss=0.1700, lr=0.004096, batch_cost=0.7331, reader_cost=0.0025 | ETA 06:02:32 2020-12-17 01:04:19 [INFO] [TRAIN] epoch=136, iter=50340/80000, loss=0.1750, lr=0.004094, batch_cost=0.7587, reader_cost=0.0002 | ETA 06:15:03 2020-12-17 01:04:27 [INFO] [TRAIN] epoch=136, iter=50350/80000, loss=0.1811, lr=0.004093, batch_cost=0.7852, reader_cost=0.0004 | ETA 06:28:01 2020-12-17 01:04:34 [INFO] [TRAIN] epoch=136, iter=50360/80000, loss=0.1135, lr=0.004092, batch_cost=0.7392, reader_cost=0.0007 | ETA 06:05:09 2020-12-17 01:04:43 [INFO] [TRAIN] epoch=136, iter=50370/80000, loss=0.1596, lr=0.004091, batch_cost=0.8522, reader_cost=0.0001 | ETA 07:00:49 2020-12-17 01:04:51 [INFO] [TRAIN] epoch=136, iter=50380/80000, loss=0.1516, lr=0.004089, batch_cost=0.7704, reader_cost=0.0013 | ETA 06:20:18 2020-12-17 01:04:58 [INFO] [TRAIN] epoch=136, iter=50390/80000, loss=0.1723, lr=0.004088, batch_cost=0.7473, reader_cost=0.0029 | ETA 06:08:47 2020-12-17 01:05:06 [INFO] [TRAIN] epoch=136, iter=50400/80000, loss=0.2054, lr=0.004087, batch_cost=0.7692, reader_cost=0.0002 | ETA 06:19:29 2020-12-17 01:05:14 [INFO] [TRAIN] epoch=136, iter=50410/80000, loss=0.2116, lr=0.004086, batch_cost=0.7816, reader_cost=0.0018 | ETA 06:25:28 2020-12-17 01:05:21 [INFO] [TRAIN] epoch=136, iter=50420/80000, loss=0.2011, lr=0.004084, batch_cost=0.7620, reader_cost=0.0001 | ETA 06:15:40 2020-12-17 01:05:28 [INFO] [TRAIN] epoch=136, iter=50430/80000, loss=0.2147, lr=0.004083, batch_cost=0.7061, reader_cost=0.0001 | ETA 05:48:00 2020-12-17 01:05:36 [INFO] [TRAIN] epoch=136, iter=50440/80000, loss=0.1504, lr=0.004082, batch_cost=0.7458, reader_cost=0.0001 | ETA 06:07:24 2020-12-17 01:05:43 [INFO] [TRAIN] epoch=136, iter=50450/80000, loss=0.1263, lr=0.004081, batch_cost=0.7251, reader_cost=0.0001 | ETA 05:57:05 2020-12-17 01:05:51 [INFO] [TRAIN] epoch=136, iter=50460/80000, loss=0.1597, lr=0.004079, batch_cost=0.8412, reader_cost=0.0005 | ETA 06:54:09 2020-12-17 01:06:00 [INFO] [TRAIN] epoch=136, iter=50470/80000, loss=0.1717, lr=0.004078, batch_cost=0.8526, reader_cost=0.0047 | ETA 06:59:36 2020-12-17 01:06:08 [INFO] [TRAIN] epoch=136, iter=50480/80000, loss=0.2030, lr=0.004077, batch_cost=0.8436, reader_cost=0.0007 | ETA 06:55:02 2020-12-17 01:06:18 [INFO] [TRAIN] epoch=136, iter=50490/80000, loss=0.1737, lr=0.004076, batch_cost=0.9249, reader_cost=0.0068 | ETA 07:34:54 2020-12-17 01:06:25 [INFO] [TRAIN] epoch=136, iter=50500/80000, loss=0.1564, lr=0.004074, batch_cost=0.7792, reader_cost=0.0003 | ETA 06:23:06 2020-12-17 01:06:33 [INFO] [TRAIN] epoch=136, iter=50510/80000, loss=0.1464, lr=0.004073, batch_cost=0.7631, reader_cost=0.0017 | ETA 06:15:04 2020-12-17 01:06:41 [INFO] [TRAIN] epoch=136, iter=50520/80000, loss=0.1253, lr=0.004072, batch_cost=0.8004, reader_cost=0.0004 | ETA 06:33:14 2020-12-17 01:06:50 [INFO] [TRAIN] epoch=136, iter=50530/80000, loss=0.1532, lr=0.004071, batch_cost=0.8495, reader_cost=0.0004 | ETA 06:57:15 2020-12-17 01:06:57 [INFO] [TRAIN] epoch=136, iter=50540/80000, loss=0.2002, lr=0.004070, batch_cost=0.7657, reader_cost=0.0001 | ETA 06:15:58 2020-12-17 01:07:05 [INFO] [TRAIN] epoch=136, iter=50550/80000, loss=0.1879, lr=0.004068, batch_cost=0.7343, reader_cost=0.0023 | ETA 06:00:23 2020-12-17 01:07:12 [INFO] [TRAIN] epoch=136, iter=50560/80000, loss=0.1829, lr=0.004067, batch_cost=0.7512, reader_cost=0.0002 | ETA 06:08:36 2020-12-17 01:07:21 [INFO] [TRAIN] epoch=136, iter=50570/80000, loss=0.2042, lr=0.004066, batch_cost=0.8590, reader_cost=0.0003 | ETA 07:01:21 2020-12-17 01:07:29 [INFO] [TRAIN] epoch=136, iter=50580/80000, loss=0.1370, lr=0.004065, batch_cost=0.8204, reader_cost=0.0006 | ETA 06:42:16 2020-12-17 01:07:36 [INFO] [TRAIN] epoch=136, iter=50590/80000, loss=0.1500, lr=0.004063, batch_cost=0.7084, reader_cost=0.0028 | ETA 05:47:13 2020-12-17 01:07:44 [INFO] [TRAIN] epoch=137, iter=50600/80000, loss=0.1348, lr=0.004062, batch_cost=0.8028, reader_cost=0.0583 | ETA 06:33:22 2020-12-17 01:07:51 [INFO] [TRAIN] epoch=137, iter=50610/80000, loss=0.1717, lr=0.004061, batch_cost=0.7199, reader_cost=0.0010 | ETA 05:52:38 2020-12-17 01:07:57 [INFO] [TRAIN] epoch=137, iter=50620/80000, loss=0.1213, lr=0.004060, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:24:51 2020-12-17 01:08:03 [INFO] [TRAIN] epoch=137, iter=50630/80000, loss=0.2078, lr=0.004058, batch_cost=0.6282, reader_cost=0.0011 | ETA 05:07:30 2020-12-17 01:08:11 [INFO] [TRAIN] epoch=137, iter=50640/80000, loss=0.1732, lr=0.004057, batch_cost=0.7978, reader_cost=0.0006 | ETA 06:30:22 2020-12-17 01:08:19 [INFO] [TRAIN] epoch=137, iter=50650/80000, loss=0.1420, lr=0.004056, batch_cost=0.8259, reader_cost=0.0005 | ETA 06:44:01 2020-12-17 01:08:27 [INFO] [TRAIN] epoch=137, iter=50660/80000, loss=0.1722, lr=0.004055, batch_cost=0.8128, reader_cost=0.0004 | ETA 06:37:26 2020-12-17 01:08:34 [INFO] [TRAIN] epoch=137, iter=50670/80000, loss=0.1471, lr=0.004053, batch_cost=0.7027, reader_cost=0.0015 | ETA 05:43:28 2020-12-17 01:08:42 [INFO] [TRAIN] epoch=137, iter=50680/80000, loss=0.1862, lr=0.004052, batch_cost=0.7992, reader_cost=0.0015 | ETA 06:30:33 2020-12-17 01:08:50 [INFO] [TRAIN] epoch=137, iter=50690/80000, loss=0.1359, lr=0.004051, batch_cost=0.7533, reader_cost=0.0002 | ETA 06:08:00 2020-12-17 01:08:57 [INFO] [TRAIN] epoch=137, iter=50700/80000, loss=0.1601, lr=0.004050, batch_cost=0.7165, reader_cost=0.0005 | ETA 05:49:52 2020-12-17 01:09:04 [INFO] [TRAIN] epoch=137, iter=50710/80000, loss=0.1698, lr=0.004048, batch_cost=0.7256, reader_cost=0.0019 | ETA 05:54:11 2020-12-17 01:09:12 [INFO] [TRAIN] epoch=137, iter=50720/80000, loss=0.1760, lr=0.004047, batch_cost=0.7509, reader_cost=0.0016 | ETA 06:06:26 2020-12-17 01:09:19 [INFO] [TRAIN] epoch=137, iter=50730/80000, loss=0.2105, lr=0.004046, batch_cost=0.7644, reader_cost=0.0003 | ETA 06:12:55 2020-12-17 01:09:28 [INFO] [TRAIN] epoch=137, iter=50740/80000, loss=0.2156, lr=0.004045, batch_cost=0.8470, reader_cost=0.0015 | ETA 06:53:03 2020-12-17 01:09:36 [INFO] [TRAIN] epoch=137, iter=50750/80000, loss=0.2250, lr=0.004043, batch_cost=0.7823, reader_cost=0.0004 | ETA 06:21:22 2020-12-17 01:09:45 [INFO] [TRAIN] epoch=137, iter=50760/80000, loss=0.1594, lr=0.004042, batch_cost=0.8887, reader_cost=0.0024 | ETA 07:13:04 2020-12-17 01:09:52 [INFO] [TRAIN] epoch=137, iter=50770/80000, loss=0.1971, lr=0.004041, batch_cost=0.7634, reader_cost=0.0010 | ETA 06:11:53 2020-12-17 01:10:01 [INFO] [TRAIN] epoch=137, iter=50780/80000, loss=0.1377, lr=0.004040, batch_cost=0.8259, reader_cost=0.0059 | ETA 06:42:11 2020-12-17 01:10:08 [INFO] [TRAIN] epoch=137, iter=50790/80000, loss=0.1690, lr=0.004038, batch_cost=0.7870, reader_cost=0.0007 | ETA 06:23:08 2020-12-17 01:10:17 [INFO] [TRAIN] epoch=137, iter=50800/80000, loss=0.1490, lr=0.004037, batch_cost=0.8191, reader_cost=0.0001 | ETA 06:38:36 2020-12-17 01:10:24 [INFO] [TRAIN] epoch=137, iter=50810/80000, loss=0.1640, lr=0.004036, batch_cost=0.7531, reader_cost=0.0007 | ETA 06:06:21 2020-12-17 01:10:31 [INFO] [TRAIN] epoch=137, iter=50820/80000, loss=0.1669, lr=0.004035, batch_cost=0.7361, reader_cost=0.0024 | ETA 05:57:59 2020-12-17 01:10:40 [INFO] [TRAIN] epoch=137, iter=50830/80000, loss=0.1514, lr=0.004033, batch_cost=0.8054, reader_cost=0.0001 | ETA 06:31:34 2020-12-17 01:10:48 [INFO] [TRAIN] epoch=137, iter=50840/80000, loss=0.1685, lr=0.004032, batch_cost=0.8476, reader_cost=0.0010 | ETA 06:51:54 2020-12-17 01:10:56 [INFO] [TRAIN] epoch=137, iter=50850/80000, loss=0.1518, lr=0.004031, batch_cost=0.8013, reader_cost=0.0020 | ETA 06:29:17 2020-12-17 01:11:04 [INFO] [TRAIN] epoch=137, iter=50860/80000, loss=0.1824, lr=0.004030, batch_cost=0.8325, reader_cost=0.0032 | ETA 06:44:19 2020-12-17 01:11:12 [INFO] [TRAIN] epoch=137, iter=50870/80000, loss=0.1908, lr=0.004028, batch_cost=0.8077, reader_cost=0.0030 | ETA 06:32:07 2020-12-17 01:11:21 [INFO] [TRAIN] epoch=137, iter=50880/80000, loss=0.1477, lr=0.004027, batch_cost=0.8085, reader_cost=0.0006 | ETA 06:32:24 2020-12-17 01:11:29 [INFO] [TRAIN] epoch=137, iter=50890/80000, loss=0.2344, lr=0.004026, batch_cost=0.8058, reader_cost=0.0031 | ETA 06:30:56 2020-12-17 01:11:37 [INFO] [TRAIN] epoch=137, iter=50900/80000, loss=0.2087, lr=0.004025, batch_cost=0.8299, reader_cost=0.0014 | ETA 06:42:29 2020-12-17 01:11:45 [INFO] [TRAIN] epoch=137, iter=50910/80000, loss=0.1951, lr=0.004023, batch_cost=0.8070, reader_cost=0.0012 | ETA 06:31:16 2020-12-17 01:11:52 [INFO] [TRAIN] epoch=137, iter=50920/80000, loss=0.2097, lr=0.004022, batch_cost=0.7313, reader_cost=0.0005 | ETA 05:54:26 2020-12-17 01:12:01 [INFO] [TRAIN] epoch=137, iter=50930/80000, loss=0.1620, lr=0.004021, batch_cost=0.9055, reader_cost=0.0020 | ETA 07:18:43 2020-12-17 01:12:09 [INFO] [TRAIN] epoch=137, iter=50940/80000, loss=0.2121, lr=0.004020, batch_cost=0.7582, reader_cost=0.0004 | ETA 06:07:13 2020-12-17 01:12:17 [INFO] [TRAIN] epoch=137, iter=50950/80000, loss=0.2029, lr=0.004019, batch_cost=0.7677, reader_cost=0.0040 | ETA 06:11:40 2020-12-17 01:12:25 [INFO] [TRAIN] epoch=137, iter=50960/80000, loss=0.1622, lr=0.004017, batch_cost=0.8060, reader_cost=0.0001 | ETA 06:30:06 2020-12-17 01:12:31 [INFO] [TRAIN] epoch=138, iter=50970/80000, loss=0.1622, lr=0.004016, batch_cost=0.6101, reader_cost=0.0526 | ETA 04:55:10 2020-12-17 01:12:37 [INFO] [TRAIN] epoch=138, iter=50980/80000, loss=0.1675, lr=0.004015, batch_cost=0.5845, reader_cost=0.0001 | ETA 04:42:42 2020-12-17 01:12:44 [INFO] [TRAIN] epoch=138, iter=50990/80000, loss=0.1674, lr=0.004014, batch_cost=0.6900, reader_cost=0.0041 | ETA 05:33:36 2020-12-17 01:12:52 [INFO] [TRAIN] epoch=138, iter=51000/80000, loss=0.1506, lr=0.004012, batch_cost=0.8808, reader_cost=0.0002 | ETA 07:05:42 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 01:12:52 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 01:13:35 [INFO] [EVAL] #Images=500 mIoU=0.7737 Acc=0.9580 Kappa=0.9455 2020-12-17 01:13:35 [INFO] [EVAL] Class IoU: [0.9802 0.8391 0.9172 0.4787 0.5879 0.588 0.693 0.7725 0.9219 0.6474 0.9462 0.8077 0.6057 0.9478 0.8428 0.8783 0.8252 0.6505 0.7697] 2020-12-17 01:13:35 [INFO] [EVAL] Class Acc: [0.9907 0.9084 0.9448 0.8891 0.7834 0.7705 0.8421 0.9106 0.9532 0.8814 0.974 0.8773 0.805 0.9762 0.9447 0.9353 0.961 0.8428 0.8602] 2020-12-17 01:13:40 [INFO] [EVAL] The model with the best validation mIoU (0.7766) was saved at iter 42000. 2020-12-17 01:13:48 [INFO] [TRAIN] epoch=138, iter=51010/80000, loss=0.1849, lr=0.004011, batch_cost=0.8039, reader_cost=0.0002 | ETA 06:28:25 2020-12-17 01:13:56 [INFO] [TRAIN] epoch=138, iter=51020/80000, loss=0.1411, lr=0.004010, batch_cost=0.7890, reader_cost=0.0019 | ETA 06:21:04 2020-12-17 01:14:04 [INFO] [TRAIN] epoch=138, iter=51030/80000, loss=0.1775, lr=0.004009, batch_cost=0.8301, reader_cost=0.0040 | ETA 06:40:48 2020-12-17 01:14:13 [INFO] [TRAIN] epoch=138, iter=51040/80000, loss=0.2300, lr=0.004007, batch_cost=0.8564, reader_cost=0.0014 | ETA 06:53:22 2020-12-17 01:14:21 [INFO] [TRAIN] epoch=138, iter=51050/80000, loss=0.2138, lr=0.004006, batch_cost=0.7973, reader_cost=0.0018 | ETA 06:24:41 2020-12-17 01:14:28 [INFO] [TRAIN] epoch=138, iter=51060/80000, loss=0.1321, lr=0.004005, batch_cost=0.7563, reader_cost=0.0026 | ETA 06:04:48 2020-12-17 01:14:36 [INFO] [TRAIN] epoch=138, iter=51070/80000, loss=0.1502, lr=0.004004, batch_cost=0.7628, reader_cost=0.0011 | ETA 06:07:46 2020-12-17 01:14:44 [INFO] [TRAIN] epoch=138, iter=51080/80000, loss=0.3771, lr=0.004002, batch_cost=0.7826, reader_cost=0.0014 | ETA 06:17:11 2020-12-17 01:14:52 [INFO] [TRAIN] epoch=138, iter=51090/80000, loss=0.1690, lr=0.004001, batch_cost=0.8058, reader_cost=0.0022 | ETA 06:28:14 2020-12-17 01:15:01 [INFO] [TRAIN] epoch=138, iter=51100/80000, loss=0.1677, lr=0.004000, batch_cost=0.8618, reader_cost=0.0004 | ETA 06:55:05 2020-12-17 01:15:08 [INFO] [TRAIN] epoch=138, iter=51110/80000, loss=0.1432, lr=0.003999, batch_cost=0.7238, reader_cost=0.0040 | ETA 05:48:30 2020-12-17 01:15:15 [INFO] [TRAIN] epoch=138, iter=51120/80000, loss=0.1787, lr=0.003997, batch_cost=0.7674, reader_cost=0.0001 | ETA 06:09:21 2020-12-17 01:15:24 [INFO] [TRAIN] epoch=138, iter=51130/80000, loss=0.1550, lr=0.003996, batch_cost=0.8692, reader_cost=0.0010 | ETA 06:58:12 2020-12-17 01:15:32 [INFO] [TRAIN] epoch=138, iter=51140/80000, loss=0.1809, lr=0.003995, batch_cost=0.8281, reader_cost=0.0006 | ETA 06:38:19 2020-12-17 01:15:41 [INFO] [TRAIN] epoch=138, iter=51150/80000, loss=0.1390, lr=0.003994, batch_cost=0.8113, reader_cost=0.0012 | ETA 06:30:05 2020-12-17 01:15:48 [INFO] [TRAIN] epoch=138, iter=51160/80000, loss=0.2057, lr=0.003992, batch_cost=0.7562, reader_cost=0.0002 | ETA 06:03:29 2020-12-17 01:15:56 [INFO] [TRAIN] epoch=138, iter=51170/80000, loss=0.1662, lr=0.003991, batch_cost=0.7608, reader_cost=0.0001 | ETA 06:05:33 2020-12-17 01:16:04 [INFO] [TRAIN] epoch=138, iter=51180/80000, loss=0.2709, lr=0.003990, batch_cost=0.7842, reader_cost=0.0009 | ETA 06:16:41 2020-12-17 01:16:11 [INFO] [TRAIN] epoch=138, iter=51190/80000, loss=0.1895, lr=0.003989, batch_cost=0.7820, reader_cost=0.0024 | ETA 06:15:30 2020-12-17 01:16:17 [INFO] [TRAIN] epoch=138, iter=51200/80000, loss=0.1744, lr=0.003987, batch_cost=0.5973, reader_cost=0.0002 | ETA 04:46:40 2020-12-17 01:16:23 [INFO] [TRAIN] epoch=138, iter=51210/80000, loss=0.1724, lr=0.003986, batch_cost=0.5528, reader_cost=0.0001 | ETA 04:25:14 2020-12-17 01:16:28 [INFO] [TRAIN] epoch=138, iter=51220/80000, loss=0.2936, lr=0.003985, batch_cost=0.5241, reader_cost=0.0002 | ETA 04:11:23 2020-12-17 01:16:34 [INFO] [TRAIN] epoch=138, iter=51230/80000, loss=0.2450, lr=0.003984, batch_cost=0.5576, reader_cost=0.0001 | ETA 04:27:20 2020-12-17 01:16:39 [INFO] [TRAIN] epoch=138, iter=51240/80000, loss=0.2156, lr=0.003982, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:18:51 2020-12-17 01:16:44 [INFO] [TRAIN] epoch=138, iter=51250/80000, loss=0.1961, lr=0.003981, batch_cost=0.5354, reader_cost=0.0001 | ETA 04:16:31 2020-12-17 01:16:50 [INFO] [TRAIN] epoch=138, iter=51260/80000, loss=0.1390, lr=0.003980, batch_cost=0.5574, reader_cost=0.0001 | ETA 04:26:59 2020-12-17 01:16:57 [INFO] [TRAIN] epoch=138, iter=51270/80000, loss=0.1866, lr=0.003979, batch_cost=0.7031, reader_cost=0.0015 | ETA 05:36:39 2020-12-17 01:17:05 [INFO] [TRAIN] epoch=138, iter=51280/80000, loss=0.1937, lr=0.003977, batch_cost=0.8247, reader_cost=0.0012 | ETA 06:34:45 2020-12-17 01:17:13 [INFO] [TRAIN] epoch=138, iter=51290/80000, loss=0.2003, lr=0.003976, batch_cost=0.7314, reader_cost=0.0052 | ETA 05:49:57 2020-12-17 01:17:20 [INFO] [TRAIN] epoch=138, iter=51300/80000, loss=0.1528, lr=0.003975, batch_cost=0.7521, reader_cost=0.0013 | ETA 05:59:45 2020-12-17 01:17:28 [INFO] [TRAIN] epoch=138, iter=51310/80000, loss=0.1704, lr=0.003974, batch_cost=0.8322, reader_cost=0.0002 | ETA 06:37:55 2020-12-17 01:17:37 [INFO] [TRAIN] epoch=138, iter=51320/80000, loss=0.2148, lr=0.003972, batch_cost=0.8426, reader_cost=0.0038 | ETA 06:42:44 2020-12-17 01:17:43 [INFO] [TRAIN] epoch=138, iter=51330/80000, loss=0.1737, lr=0.003971, batch_cost=0.6311, reader_cost=0.0004 | ETA 05:01:32 2020-12-17 01:17:49 [INFO] [TRAIN] epoch=139, iter=51340/80000, loss=0.1638, lr=0.003970, batch_cost=0.5858, reader_cost=0.0550 | ETA 04:39:49 2020-12-17 01:17:57 [INFO] [TRAIN] epoch=139, iter=51350/80000, loss=0.1671, lr=0.003969, batch_cost=0.7731, reader_cost=0.0004 | ETA 06:09:09 2020-12-17 01:18:05 [INFO] [TRAIN] epoch=139, iter=51360/80000, loss=0.1654, lr=0.003967, batch_cost=0.8248, reader_cost=0.0002 | ETA 06:33:41 2020-12-17 01:18:14 [INFO] [TRAIN] epoch=139, iter=51370/80000, loss=0.1645, lr=0.003966, batch_cost=0.8443, reader_cost=0.0001 | ETA 06:42:52 2020-12-17 01:18:22 [INFO] [TRAIN] epoch=139, iter=51380/80000, loss=0.1871, lr=0.003965, batch_cost=0.8409, reader_cost=0.0021 | ETA 06:41:07 2020-12-17 01:18:30 [INFO] [TRAIN] epoch=139, iter=51390/80000, loss=0.1670, lr=0.003964, batch_cost=0.7988, reader_cost=0.0020 | ETA 06:20:53 2020-12-17 01:18:39 [INFO] [TRAIN] epoch=139, iter=51400/80000, loss=0.1830, lr=0.003962, batch_cost=0.8569, reader_cost=0.0039 | ETA 06:48:25 2020-12-17 01:18:47 [INFO] [TRAIN] epoch=139, iter=51410/80000, loss=0.2429, lr=0.003961, batch_cost=0.8130, reader_cost=0.0002 | ETA 06:27:23 2020-12-17 01:18:55 [INFO] [TRAIN] epoch=139, iter=51420/80000, loss=0.2163, lr=0.003960, batch_cost=0.7910, reader_cost=0.0033 | ETA 06:16:47 2020-12-17 01:19:03 [INFO] [TRAIN] epoch=139, iter=51430/80000, loss=0.1812, lr=0.003959, batch_cost=0.8389, reader_cost=0.0023 | ETA 06:39:27 2020-12-17 01:19:11 [INFO] [TRAIN] epoch=139, iter=51440/80000, loss=0.1588, lr=0.003957, batch_cost=0.8205, reader_cost=0.0011 | ETA 06:30:34 2020-12-17 01:19:20 [INFO] [TRAIN] epoch=139, iter=51450/80000, loss=0.1859, lr=0.003956, batch_cost=0.8600, reader_cost=0.0019 | ETA 06:49:13 2020-12-17 01:19:28 [INFO] [TRAIN] epoch=139, iter=51460/80000, loss=0.1734, lr=0.003955, batch_cost=0.7920, reader_cost=0.0001 | ETA 06:16:42 2020-12-17 01:19:35 [INFO] [TRAIN] epoch=139, iter=51470/80000, loss=0.2468, lr=0.003954, batch_cost=0.7739, reader_cost=0.0034 | ETA 06:07:59 2020-12-17 01:19:44 [INFO] [TRAIN] epoch=139, iter=51480/80000, loss=0.1567, lr=0.003952, batch_cost=0.8433, reader_cost=0.0024 | ETA 06:40:49 2020-12-17 01:19:52 [INFO] [TRAIN] epoch=139, iter=51490/80000, loss=0.1961, lr=0.003951, batch_cost=0.7981, reader_cost=0.0022 | ETA 06:19:13 2020-12-17 01:20:00 [INFO] [TRAIN] epoch=139, iter=51500/80000, loss=0.1514, lr=0.003950, batch_cost=0.8143, reader_cost=0.0044 | ETA 06:26:47 2020-12-17 01:20:08 [INFO] [TRAIN] epoch=139, iter=51510/80000, loss=0.1476, lr=0.003949, batch_cost=0.7999, reader_cost=0.0033 | ETA 06:19:49 2020-12-17 01:20:16 [INFO] [TRAIN] epoch=139, iter=51520/80000, loss=0.1818, lr=0.003947, batch_cost=0.7975, reader_cost=0.0001 | ETA 06:18:32 2020-12-17 01:20:23 [INFO] [TRAIN] epoch=139, iter=51530/80000, loss=0.2327, lr=0.003946, batch_cost=0.7413, reader_cost=0.0021 | ETA 05:51:43 2020-12-17 01:20:32 [INFO] [TRAIN] epoch=139, iter=51540/80000, loss=0.1960, lr=0.003945, batch_cost=0.8291, reader_cost=0.0011 | ETA 06:33:15 2020-12-17 01:20:40 [INFO] [TRAIN] epoch=139, iter=51550/80000, loss=0.1647, lr=0.003944, batch_cost=0.8847, reader_cost=0.0002 | ETA 06:59:28 2020-12-17 01:20:49 [INFO] [TRAIN] epoch=139, iter=51560/80000, loss=0.1585, lr=0.003942, batch_cost=0.8358, reader_cost=0.0014 | ETA 06:36:10 2020-12-17 01:20:57 [INFO] [TRAIN] epoch=139, iter=51570/80000, loss=0.2216, lr=0.003941, batch_cost=0.8598, reader_cost=0.0016 | ETA 06:47:23 2020-12-17 01:21:05 [INFO] [TRAIN] epoch=139, iter=51580/80000, loss=0.1725, lr=0.003940, batch_cost=0.8031, reader_cost=0.0006 | ETA 06:20:22 2020-12-17 01:21:14 [INFO] [TRAIN] epoch=139, iter=51590/80000, loss=0.2326, lr=0.003939, batch_cost=0.8087, reader_cost=0.0001 | ETA 06:22:56 2020-12-17 01:21:21 [INFO] [TRAIN] epoch=139, iter=51600/80000, loss=0.1334, lr=0.003937, batch_cost=0.7651, reader_cost=0.0011 | ETA 06:02:09 2020-12-17 01:21:30 [INFO] [TRAIN] epoch=139, iter=51610/80000, loss=0.2793, lr=0.003936, batch_cost=0.8494, reader_cost=0.0001 | ETA 06:41:53 2020-12-17 01:21:38 [INFO] [TRAIN] epoch=139, iter=51620/80000, loss=0.1478, lr=0.003935, batch_cost=0.7758, reader_cost=0.0002 | ETA 06:06:55 2020-12-17 01:21:45 [INFO] [TRAIN] epoch=139, iter=51630/80000, loss=0.1950, lr=0.003934, batch_cost=0.7724, reader_cost=0.0034 | ETA 06:05:14 2020-12-17 01:21:53 [INFO] [TRAIN] epoch=139, iter=51640/80000, loss=0.1702, lr=0.003932, batch_cost=0.7644, reader_cost=0.0007 | ETA 06:01:17 2020-12-17 01:22:00 [INFO] [TRAIN] epoch=139, iter=51650/80000, loss=0.3232, lr=0.003931, batch_cost=0.7374, reader_cost=0.0001 | ETA 05:48:25 2020-12-17 01:22:08 [INFO] [TRAIN] epoch=139, iter=51660/80000, loss=0.1977, lr=0.003930, batch_cost=0.7917, reader_cost=0.0010 | ETA 06:13:56 2020-12-17 01:22:16 [INFO] [TRAIN] epoch=139, iter=51670/80000, loss=0.2273, lr=0.003929, batch_cost=0.7406, reader_cost=0.0020 | ETA 05:49:40 2020-12-17 01:22:22 [INFO] [TRAIN] epoch=139, iter=51680/80000, loss=0.2112, lr=0.003928, batch_cost=0.6156, reader_cost=0.0016 | ETA 04:50:34 2020-12-17 01:22:27 [INFO] [TRAIN] epoch=139, iter=51690/80000, loss=0.1531, lr=0.003926, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:14:19 2020-12-17 01:22:35 [INFO] [TRAIN] epoch=139, iter=51700/80000, loss=0.1536, lr=0.003925, batch_cost=0.7524, reader_cost=0.0045 | ETA 05:54:52 2020-12-17 01:22:43 [INFO] [TRAIN] epoch=140, iter=51710/80000, loss=0.1957, lr=0.003924, batch_cost=0.7946, reader_cost=0.0556 | ETA 06:14:38 2020-12-17 01:22:51 [INFO] [TRAIN] epoch=140, iter=51720/80000, loss=0.1701, lr=0.003923, batch_cost=0.8080, reader_cost=0.0008 | ETA 06:20:49 2020-12-17 01:22:59 [INFO] [TRAIN] epoch=140, iter=51730/80000, loss=0.1461, lr=0.003921, batch_cost=0.8224, reader_cost=0.0005 | ETA 06:27:30 2020-12-17 01:23:07 [INFO] [TRAIN] epoch=140, iter=51740/80000, loss=0.1727, lr=0.003920, batch_cost=0.7634, reader_cost=0.0001 | ETA 05:59:32 2020-12-17 01:23:15 [INFO] [TRAIN] epoch=140, iter=51750/80000, loss=0.2044, lr=0.003919, batch_cost=0.8009, reader_cost=0.0052 | ETA 06:17:05 2020-12-17 01:23:22 [INFO] [TRAIN] epoch=140, iter=51760/80000, loss=0.2127, lr=0.003918, batch_cost=0.7761, reader_cost=0.0003 | ETA 06:05:18 2020-12-17 01:23:30 [INFO] [TRAIN] epoch=140, iter=51770/80000, loss=0.1722, lr=0.003916, batch_cost=0.7533, reader_cost=0.0012 | ETA 05:54:26 2020-12-17 01:23:37 [INFO] [TRAIN] epoch=140, iter=51780/80000, loss=0.1344, lr=0.003915, batch_cost=0.7089, reader_cost=0.0011 | ETA 05:33:24 2020-12-17 01:23:46 [INFO] [TRAIN] epoch=140, iter=51790/80000, loss=0.1592, lr=0.003914, batch_cost=0.8847, reader_cost=0.0017 | ETA 06:55:56 2020-12-17 01:23:54 [INFO] [TRAIN] epoch=140, iter=51800/80000, loss=0.1862, lr=0.003913, batch_cost=0.8138, reader_cost=0.0014 | ETA 06:22:28 2020-12-17 01:24:03 [INFO] [TRAIN] epoch=140, iter=51810/80000, loss=0.1918, lr=0.003911, batch_cost=0.8706, reader_cost=0.0018 | ETA 06:49:01 2020-12-17 01:24:11 [INFO] [TRAIN] epoch=140, iter=51820/80000, loss=0.2277, lr=0.003910, batch_cost=0.8823, reader_cost=0.0033 | ETA 06:54:23 2020-12-17 01:24:20 [INFO] [TRAIN] epoch=140, iter=51830/80000, loss=0.1802, lr=0.003909, batch_cost=0.8254, reader_cost=0.0007 | ETA 06:27:32 2020-12-17 01:24:28 [INFO] [TRAIN] epoch=140, iter=51840/80000, loss=0.2084, lr=0.003908, batch_cost=0.8071, reader_cost=0.0001 | ETA 06:18:48 2020-12-17 01:24:36 [INFO] [TRAIN] epoch=140, iter=51850/80000, loss=0.1752, lr=0.003906, batch_cost=0.7884, reader_cost=0.0037 | ETA 06:09:53 2020-12-17 01:24:44 [INFO] [TRAIN] epoch=140, iter=51860/80000, loss=0.2028, lr=0.003905, batch_cost=0.8321, reader_cost=0.0001 | ETA 06:30:16 2020-12-17 01:24:53 [INFO] [TRAIN] epoch=140, iter=51870/80000, loss=0.1655, lr=0.003904, batch_cost=0.8784, reader_cost=0.0017 | ETA 06:51:49 2020-12-17 01:25:00 [INFO] [TRAIN] epoch=140, iter=51880/80000, loss=0.2036, lr=0.003903, batch_cost=0.7663, reader_cost=0.0004 | ETA 05:59:07 2020-12-17 01:25:09 [INFO] [TRAIN] epoch=140, iter=51890/80000, loss=0.1911, lr=0.003901, batch_cost=0.8161, reader_cost=0.0010 | ETA 06:22:19 2020-12-17 01:25:18 [INFO] [TRAIN] epoch=140, iter=51900/80000, loss=0.1747, lr=0.003900, batch_cost=0.8887, reader_cost=0.0004 | ETA 06:56:11 2020-12-17 01:25:25 [INFO] [TRAIN] epoch=140, iter=51910/80000, loss=0.1791, lr=0.003899, batch_cost=0.7245, reader_cost=0.0001 | ETA 05:39:09 2020-12-17 01:25:32 [INFO] [TRAIN] epoch=140, iter=51920/80000, loss=0.1757, lr=0.003898, batch_cost=0.7066, reader_cost=0.0021 | ETA 05:30:41 2020-12-17 01:25:39 [INFO] [TRAIN] epoch=140, iter=51930/80000, loss=0.1700, lr=0.003896, batch_cost=0.7438, reader_cost=0.0005 | ETA 05:47:57 2020-12-17 01:25:47 [INFO] [TRAIN] epoch=140, iter=51940/80000, loss=0.1733, lr=0.003895, batch_cost=0.8083, reader_cost=0.0016 | ETA 06:18:00 2020-12-17 01:25:55 [INFO] [TRAIN] epoch=140, iter=51950/80000, loss=0.2075, lr=0.003894, batch_cost=0.7368, reader_cost=0.0001 | ETA 05:44:26 2020-12-17 01:26:03 [INFO] [TRAIN] epoch=140, iter=51960/80000, loss=0.1430, lr=0.003893, batch_cost=0.8660, reader_cost=0.0051 | ETA 06:44:42 2020-12-17 01:26:12 [INFO] [TRAIN] epoch=140, iter=51970/80000, loss=0.1575, lr=0.003891, batch_cost=0.8739, reader_cost=0.0013 | ETA 06:48:16 2020-12-17 01:26:21 [INFO] [TRAIN] epoch=140, iter=51980/80000, loss=0.1847, lr=0.003890, batch_cost=0.8847, reader_cost=0.0023 | ETA 06:53:10 2020-12-17 01:26:29 [INFO] [TRAIN] epoch=140, iter=51990/80000, loss=0.2486, lr=0.003889, batch_cost=0.7865, reader_cost=0.0015 | ETA 06:07:11 2020-12-17 01:26:37 [INFO] [TRAIN] epoch=140, iter=52000/80000, loss=0.2062, lr=0.003888, batch_cost=0.8076, reader_cost=0.0014 | ETA 06:16:53 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 01:26:37 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 01:27:16 [INFO] [EVAL] #Images=500 mIoU=0.7777 Acc=0.9587 Kappa=0.9464 2020-12-17 01:27:16 [INFO] [EVAL] Class IoU: [0.9798 0.8323 0.9239 0.5652 0.6159 0.5945 0.6953 0.7742 0.9217 0.5831 0.9457 0.8082 0.6261 0.9486 0.8396 0.8849 0.8269 0.6404 0.7695] 2020-12-17 01:27:16 [INFO] [EVAL] Class Acc: [0.9925 0.8899 0.9559 0.8168 0.8009 0.7713 0.8347 0.9038 0.9501 0.9092 0.9695 0.8792 0.7763 0.9706 0.9383 0.9406 0.959 0.8469 0.8635] 2020-12-17 01:27:24 [INFO] [EVAL] The model with the best validation mIoU (0.7777) was saved at iter 52000. 2020-12-17 01:27:32 [INFO] [TRAIN] epoch=140, iter=52010/80000, loss=0.2069, lr=0.003886, batch_cost=0.8043, reader_cost=0.0014 | ETA 06:15:12 2020-12-17 01:27:40 [INFO] [TRAIN] epoch=140, iter=52020/80000, loss=0.1975, lr=0.003885, batch_cost=0.8526, reader_cost=0.0001 | ETA 06:37:35 2020-12-17 01:27:49 [INFO] [TRAIN] epoch=140, iter=52030/80000, loss=0.1763, lr=0.003884, batch_cost=0.9112, reader_cost=0.0033 | ETA 07:04:45 2020-12-17 01:27:58 [INFO] [TRAIN] epoch=140, iter=52040/80000, loss=0.2474, lr=0.003883, batch_cost=0.8202, reader_cost=0.0001 | ETA 06:22:12 2020-12-17 01:28:05 [INFO] [TRAIN] epoch=140, iter=52050/80000, loss=0.1388, lr=0.003881, batch_cost=0.7931, reader_cost=0.0002 | ETA 06:09:28 2020-12-17 01:28:13 [INFO] [TRAIN] epoch=140, iter=52060/80000, loss=0.1549, lr=0.003880, batch_cost=0.8004, reader_cost=0.0033 | ETA 06:12:44 2020-12-17 01:28:22 [INFO] [TRAIN] epoch=140, iter=52070/80000, loss=0.1684, lr=0.003879, batch_cost=0.8811, reader_cost=0.0005 | ETA 06:50:09 2020-12-17 01:28:29 [INFO] [TRAIN] epoch=140, iter=52080/80000, loss=0.1540, lr=0.003878, batch_cost=0.6503, reader_cost=0.0015 | ETA 05:02:35 2020-12-17 01:28:38 [INFO] [TRAIN] epoch=141, iter=52090/80000, loss=0.1689, lr=0.003876, batch_cost=0.9346, reader_cost=0.0528 | ETA 07:14:43 2020-12-17 01:28:46 [INFO] [TRAIN] epoch=141, iter=52100/80000, loss=0.1844, lr=0.003875, batch_cost=0.8053, reader_cost=0.0018 | ETA 06:14:28 2020-12-17 01:28:54 [INFO] [TRAIN] epoch=141, iter=52110/80000, loss=0.1623, lr=0.003874, batch_cost=0.7606, reader_cost=0.0011 | ETA 05:53:32 2020-12-17 01:29:02 [INFO] [TRAIN] epoch=141, iter=52120/80000, loss=0.2306, lr=0.003873, batch_cost=0.8379, reader_cost=0.0008 | ETA 06:29:21 2020-12-17 01:29:11 [INFO] [TRAIN] epoch=141, iter=52130/80000, loss=0.1930, lr=0.003871, batch_cost=0.8443, reader_cost=0.0038 | ETA 06:32:10 2020-12-17 01:29:18 [INFO] [TRAIN] epoch=141, iter=52140/80000, loss=0.1401, lr=0.003870, batch_cost=0.7700, reader_cost=0.0013 | ETA 05:57:30 2020-12-17 01:29:26 [INFO] [TRAIN] epoch=141, iter=52150/80000, loss=0.1243, lr=0.003869, batch_cost=0.7726, reader_cost=0.0001 | ETA 05:58:37 2020-12-17 01:29:35 [INFO] [TRAIN] epoch=141, iter=52160/80000, loss=0.2167, lr=0.003868, batch_cost=0.8553, reader_cost=0.0037 | ETA 06:36:52 2020-12-17 01:29:43 [INFO] [TRAIN] epoch=141, iter=52170/80000, loss=0.1447, lr=0.003866, batch_cost=0.8376, reader_cost=0.0019 | ETA 06:28:29 2020-12-17 01:29:51 [INFO] [TRAIN] epoch=141, iter=52180/80000, loss=0.1553, lr=0.003865, batch_cost=0.8268, reader_cost=0.0011 | ETA 06:23:22 2020-12-17 01:29:59 [INFO] [TRAIN] epoch=141, iter=52190/80000, loss=0.1665, lr=0.003864, batch_cost=0.8059, reader_cost=0.0024 | ETA 06:13:30 2020-12-17 01:30:07 [INFO] [TRAIN] epoch=141, iter=52200/80000, loss=0.2140, lr=0.003863, batch_cost=0.8029, reader_cost=0.0001 | ETA 06:12:01 2020-12-17 01:30:16 [INFO] [TRAIN] epoch=141, iter=52210/80000, loss=0.1536, lr=0.003861, batch_cost=0.8149, reader_cost=0.0016 | ETA 06:17:26 2020-12-17 01:30:23 [INFO] [TRAIN] epoch=141, iter=52220/80000, loss=0.1709, lr=0.003860, batch_cost=0.7665, reader_cost=0.0044 | ETA 05:54:52 2020-12-17 01:30:31 [INFO] [TRAIN] epoch=141, iter=52230/80000, loss=0.1600, lr=0.003859, batch_cost=0.8127, reader_cost=0.0031 | ETA 06:16:08 2020-12-17 01:30:39 [INFO] [TRAIN] epoch=141, iter=52240/80000, loss=0.1482, lr=0.003858, batch_cost=0.7785, reader_cost=0.0001 | ETA 06:00:12 2020-12-17 01:30:47 [INFO] [TRAIN] epoch=141, iter=52250/80000, loss=0.1372, lr=0.003856, batch_cost=0.7420, reader_cost=0.0007 | ETA 05:43:11 2020-12-17 01:30:54 [INFO] [TRAIN] epoch=141, iter=52260/80000, loss=0.1877, lr=0.003855, batch_cost=0.7460, reader_cost=0.0001 | ETA 05:44:55 2020-12-17 01:31:01 [INFO] [TRAIN] epoch=141, iter=52270/80000, loss=0.1245, lr=0.003854, batch_cost=0.7317, reader_cost=0.0031 | ETA 05:38:10 2020-12-17 01:31:09 [INFO] [TRAIN] epoch=141, iter=52280/80000, loss=0.1894, lr=0.003853, batch_cost=0.7637, reader_cost=0.0019 | ETA 05:52:49 2020-12-17 01:31:17 [INFO] [TRAIN] epoch=141, iter=52290/80000, loss=0.1628, lr=0.003851, batch_cost=0.7758, reader_cost=0.0021 | ETA 05:58:17 2020-12-17 01:31:25 [INFO] [TRAIN] epoch=141, iter=52300/80000, loss=0.1413, lr=0.003850, batch_cost=0.7935, reader_cost=0.0036 | ETA 06:06:20 2020-12-17 01:31:32 [INFO] [TRAIN] epoch=141, iter=52310/80000, loss=0.1842, lr=0.003849, batch_cost=0.7667, reader_cost=0.0020 | ETA 05:53:49 2020-12-17 01:31:38 [INFO] [TRAIN] epoch=141, iter=52320/80000, loss=0.2197, lr=0.003848, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:09:19 2020-12-17 01:31:44 [INFO] [TRAIN] epoch=141, iter=52330/80000, loss=0.1637, lr=0.003846, batch_cost=0.5829, reader_cost=0.0040 | ETA 04:28:48 2020-12-17 01:31:52 [INFO] [TRAIN] epoch=141, iter=52340/80000, loss=0.1363, lr=0.003845, batch_cost=0.8760, reader_cost=0.0040 | ETA 06:43:51 2020-12-17 01:32:01 [INFO] [TRAIN] epoch=141, iter=52350/80000, loss=0.2302, lr=0.003844, batch_cost=0.8413, reader_cost=0.0020 | ETA 06:27:42 2020-12-17 01:32:10 [INFO] [TRAIN] epoch=141, iter=52360/80000, loss=0.1593, lr=0.003843, batch_cost=0.9027, reader_cost=0.0040 | ETA 06:55:49 2020-12-17 01:32:18 [INFO] [TRAIN] epoch=141, iter=52370/80000, loss=0.2625, lr=0.003841, batch_cost=0.7768, reader_cost=0.0001 | ETA 05:57:43 2020-12-17 01:32:25 [INFO] [TRAIN] epoch=141, iter=52380/80000, loss=0.1674, lr=0.003840, batch_cost=0.7922, reader_cost=0.0065 | ETA 06:04:39 2020-12-17 01:32:33 [INFO] [TRAIN] epoch=141, iter=52390/80000, loss=0.1433, lr=0.003839, batch_cost=0.7779, reader_cost=0.0007 | ETA 05:57:58 2020-12-17 01:32:41 [INFO] [TRAIN] epoch=141, iter=52400/80000, loss=0.1566, lr=0.003838, batch_cost=0.7997, reader_cost=0.0058 | ETA 06:07:51 2020-12-17 01:32:50 [INFO] [TRAIN] epoch=141, iter=52410/80000, loss=0.1641, lr=0.003836, batch_cost=0.8307, reader_cost=0.0015 | ETA 06:21:58 2020-12-17 01:32:58 [INFO] [TRAIN] epoch=141, iter=52420/80000, loss=0.1474, lr=0.003835, batch_cost=0.8703, reader_cost=0.0004 | ETA 06:40:02 2020-12-17 01:33:06 [INFO] [TRAIN] epoch=141, iter=52430/80000, loss=0.1693, lr=0.003834, batch_cost=0.8092, reader_cost=0.0020 | ETA 06:11:50 2020-12-17 01:33:14 [INFO] [TRAIN] epoch=141, iter=52440/80000, loss=0.2032, lr=0.003833, batch_cost=0.7922, reader_cost=0.0066 | ETA 06:03:53 2020-12-17 01:33:22 [INFO] [TRAIN] epoch=141, iter=52450/80000, loss=0.1392, lr=0.003831, batch_cost=0.7486, reader_cost=0.0002 | ETA 05:43:43 2020-12-17 01:33:31 [INFO] [TRAIN] epoch=142, iter=52460/80000, loss=0.1930, lr=0.003830, batch_cost=0.9148, reader_cost=0.0539 | ETA 06:59:54 2020-12-17 01:33:39 [INFO] [TRAIN] epoch=142, iter=52470/80000, loss=0.1456, lr=0.003829, batch_cost=0.8381, reader_cost=0.0010 | ETA 06:24:32 2020-12-17 01:33:47 [INFO] [TRAIN] epoch=142, iter=52480/80000, loss=0.1713, lr=0.003828, batch_cost=0.8113, reader_cost=0.0002 | ETA 06:12:06 2020-12-17 01:33:56 [INFO] [TRAIN] epoch=142, iter=52490/80000, loss=0.1809, lr=0.003826, batch_cost=0.8518, reader_cost=0.0001 | ETA 06:30:33 2020-12-17 01:34:04 [INFO] [TRAIN] epoch=142, iter=52500/80000, loss=0.1771, lr=0.003825, batch_cost=0.7907, reader_cost=0.0048 | ETA 06:02:24 2020-12-17 01:34:12 [INFO] [TRAIN] epoch=142, iter=52510/80000, loss=0.1420, lr=0.003824, batch_cost=0.8364, reader_cost=0.0024 | ETA 06:23:13 2020-12-17 01:34:20 [INFO] [TRAIN] epoch=142, iter=52520/80000, loss=0.1538, lr=0.003823, batch_cost=0.7404, reader_cost=0.0028 | ETA 05:39:06 2020-12-17 01:34:27 [INFO] [TRAIN] epoch=142, iter=52530/80000, loss=0.1924, lr=0.003821, batch_cost=0.7427, reader_cost=0.0006 | ETA 05:40:00 2020-12-17 01:34:33 [INFO] [TRAIN] epoch=142, iter=52540/80000, loss=0.1864, lr=0.003820, batch_cost=0.6301, reader_cost=0.0024 | ETA 04:48:21 2020-12-17 01:34:42 [INFO] [TRAIN] epoch=142, iter=52550/80000, loss=0.1343, lr=0.003819, batch_cost=0.8563, reader_cost=0.0021 | ETA 06:31:44 2020-12-17 01:34:50 [INFO] [TRAIN] epoch=142, iter=52560/80000, loss=0.2060, lr=0.003817, batch_cost=0.8334, reader_cost=0.0008 | ETA 06:21:08 2020-12-17 01:34:58 [INFO] [TRAIN] epoch=142, iter=52570/80000, loss=0.1658, lr=0.003816, batch_cost=0.7441, reader_cost=0.0001 | ETA 05:40:09 2020-12-17 01:35:05 [INFO] [TRAIN] epoch=142, iter=52580/80000, loss=0.1585, lr=0.003815, batch_cost=0.7566, reader_cost=0.0028 | ETA 05:45:45 2020-12-17 01:35:14 [INFO] [TRAIN] epoch=142, iter=52590/80000, loss=0.1665, lr=0.003814, batch_cost=0.8540, reader_cost=0.0020 | ETA 06:30:07 2020-12-17 01:35:22 [INFO] [TRAIN] epoch=142, iter=52600/80000, loss=0.2671, lr=0.003812, batch_cost=0.7847, reader_cost=0.0023 | ETA 05:58:19 2020-12-17 01:35:30 [INFO] [TRAIN] epoch=142, iter=52610/80000, loss=0.2200, lr=0.003811, batch_cost=0.8344, reader_cost=0.0032 | ETA 06:20:53 2020-12-17 01:35:38 [INFO] [TRAIN] epoch=142, iter=52620/80000, loss=0.1853, lr=0.003810, batch_cost=0.7724, reader_cost=0.0002 | ETA 05:52:29 2020-12-17 01:35:46 [INFO] [TRAIN] epoch=142, iter=52630/80000, loss=0.1998, lr=0.003809, batch_cost=0.8242, reader_cost=0.0022 | ETA 06:15:59 2020-12-17 01:35:54 [INFO] [TRAIN] epoch=142, iter=52640/80000, loss=0.1587, lr=0.003807, batch_cost=0.7985, reader_cost=0.0009 | ETA 06:04:08 2020-12-17 01:36:02 [INFO] [TRAIN] epoch=142, iter=52650/80000, loss=0.1778, lr=0.003806, batch_cost=0.8326, reader_cost=0.0026 | ETA 06:19:30 2020-12-17 01:36:10 [INFO] [TRAIN] epoch=142, iter=52660/80000, loss=0.1817, lr=0.003805, batch_cost=0.7748, reader_cost=0.0009 | ETA 05:53:03 2020-12-17 01:36:16 [INFO] [TRAIN] epoch=142, iter=52670/80000, loss=0.1717, lr=0.003804, batch_cost=0.5678, reader_cost=0.0006 | ETA 04:18:37 2020-12-17 01:36:21 [INFO] [TRAIN] epoch=142, iter=52680/80000, loss=0.1384, lr=0.003802, batch_cost=0.5473, reader_cost=0.0001 | ETA 04:09:12 2020-12-17 01:36:28 [INFO] [TRAIN] epoch=142, iter=52690/80000, loss=0.1580, lr=0.003801, batch_cost=0.6827, reader_cost=0.0022 | ETA 05:10:43 2020-12-17 01:36:35 [INFO] [TRAIN] epoch=142, iter=52700/80000, loss=0.2306, lr=0.003800, batch_cost=0.7145, reader_cost=0.0003 | ETA 05:25:04 2020-12-17 01:36:43 [INFO] [TRAIN] epoch=142, iter=52710/80000, loss=0.1474, lr=0.003799, batch_cost=0.7859, reader_cost=0.0049 | ETA 05:57:27 2020-12-17 01:36:51 [INFO] [TRAIN] epoch=142, iter=52720/80000, loss=0.1405, lr=0.003797, batch_cost=0.7937, reader_cost=0.0009 | ETA 06:00:53 2020-12-17 01:36:59 [INFO] [TRAIN] epoch=142, iter=52730/80000, loss=0.1828, lr=0.003796, batch_cost=0.7725, reader_cost=0.0001 | ETA 05:51:06 2020-12-17 01:37:07 [INFO] [TRAIN] epoch=142, iter=52740/80000, loss=0.1282, lr=0.003795, batch_cost=0.8437, reader_cost=0.0028 | ETA 06:23:19 2020-12-17 01:37:16 [INFO] [TRAIN] epoch=142, iter=52750/80000, loss=0.1304, lr=0.003794, batch_cost=0.8622, reader_cost=0.0021 | ETA 06:31:33 2020-12-17 01:37:23 [INFO] [TRAIN] epoch=142, iter=52760/80000, loss=0.1371, lr=0.003792, batch_cost=0.7421, reader_cost=0.0008 | ETA 05:36:54 2020-12-17 01:37:31 [INFO] [TRAIN] epoch=142, iter=52770/80000, loss=0.2052, lr=0.003791, batch_cost=0.8242, reader_cost=0.0016 | ETA 06:14:03 2020-12-17 01:37:39 [INFO] [TRAIN] epoch=142, iter=52780/80000, loss=0.1544, lr=0.003790, batch_cost=0.8004, reader_cost=0.0030 | ETA 06:03:06 2020-12-17 01:37:48 [INFO] [TRAIN] epoch=142, iter=52790/80000, loss=0.1890, lr=0.003789, batch_cost=0.8219, reader_cost=0.0019 | ETA 06:12:44 2020-12-17 01:37:56 [INFO] [TRAIN] epoch=142, iter=52800/80000, loss=0.1259, lr=0.003787, batch_cost=0.7905, reader_cost=0.0037 | ETA 05:58:22 2020-12-17 01:38:04 [INFO] [TRAIN] epoch=142, iter=52810/80000, loss=0.1486, lr=0.003786, batch_cost=0.8064, reader_cost=0.0013 | ETA 06:05:26 2020-12-17 01:38:11 [INFO] [TRAIN] epoch=142, iter=52820/80000, loss=0.1868, lr=0.003785, batch_cost=0.7251, reader_cost=0.0010 | ETA 05:28:28 2020-12-17 01:38:19 [INFO] [TRAIN] epoch=143, iter=52830/80000, loss=0.0969, lr=0.003784, batch_cost=0.7759, reader_cost=0.0664 | ETA 05:51:22 2020-12-17 01:38:27 [INFO] [TRAIN] epoch=143, iter=52840/80000, loss=0.1785, lr=0.003782, batch_cost=0.8067, reader_cost=0.0016 | ETA 06:05:10 2020-12-17 01:38:34 [INFO] [TRAIN] epoch=143, iter=52850/80000, loss=0.1738, lr=0.003781, batch_cost=0.7534, reader_cost=0.0004 | ETA 05:40:55 2020-12-17 01:38:42 [INFO] [TRAIN] epoch=143, iter=52860/80000, loss=0.1586, lr=0.003780, batch_cost=0.7765, reader_cost=0.0001 | ETA 05:51:14 2020-12-17 01:38:50 [INFO] [TRAIN] epoch=143, iter=52870/80000, loss=0.1848, lr=0.003779, batch_cost=0.7742, reader_cost=0.0006 | ETA 05:50:04 2020-12-17 01:38:57 [INFO] [TRAIN] epoch=143, iter=52880/80000, loss=0.2174, lr=0.003777, batch_cost=0.7595, reader_cost=0.0039 | ETA 05:43:16 2020-12-17 01:39:05 [INFO] [TRAIN] epoch=143, iter=52890/80000, loss=0.1806, lr=0.003776, batch_cost=0.7585, reader_cost=0.0028 | ETA 05:42:43 2020-12-17 01:39:13 [INFO] [TRAIN] epoch=143, iter=52900/80000, loss=0.1149, lr=0.003775, batch_cost=0.7858, reader_cost=0.0020 | ETA 05:54:55 2020-12-17 01:39:21 [INFO] [TRAIN] epoch=143, iter=52910/80000, loss=0.1803, lr=0.003774, batch_cost=0.8101, reader_cost=0.0029 | ETA 06:05:45 2020-12-17 01:39:30 [INFO] [TRAIN] epoch=143, iter=52920/80000, loss=0.1652, lr=0.003772, batch_cost=0.8815, reader_cost=0.0002 | ETA 06:37:51 2020-12-17 01:39:38 [INFO] [TRAIN] epoch=143, iter=52930/80000, loss=0.1562, lr=0.003771, batch_cost=0.7803, reader_cost=0.0050 | ETA 05:52:03 2020-12-17 01:39:46 [INFO] [TRAIN] epoch=143, iter=52940/80000, loss=0.1515, lr=0.003770, batch_cost=0.7969, reader_cost=0.0004 | ETA 05:59:22 2020-12-17 01:39:54 [INFO] [TRAIN] epoch=143, iter=52950/80000, loss=0.1970, lr=0.003769, batch_cost=0.8231, reader_cost=0.0006 | ETA 06:11:06 2020-12-17 01:40:02 [INFO] [TRAIN] epoch=143, iter=52960/80000, loss=0.1886, lr=0.003767, batch_cost=0.7962, reader_cost=0.0014 | ETA 05:58:50 2020-12-17 01:40:09 [INFO] [TRAIN] epoch=143, iter=52970/80000, loss=0.1785, lr=0.003766, batch_cost=0.7292, reader_cost=0.0001 | ETA 05:28:29 2020-12-17 01:40:17 [INFO] [TRAIN] epoch=143, iter=52980/80000, loss=0.1302, lr=0.003765, batch_cost=0.7554, reader_cost=0.0001 | ETA 05:40:10 2020-12-17 01:40:25 [INFO] [TRAIN] epoch=143, iter=52990/80000, loss=0.2013, lr=0.003764, batch_cost=0.8887, reader_cost=0.0038 | ETA 06:40:03 2020-12-17 01:40:33 [INFO] [TRAIN] epoch=143, iter=53000/80000, loss=0.1479, lr=0.003762, batch_cost=0.7624, reader_cost=0.0016 | ETA 05:43:04 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 01:40:33 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 01:41:13 [INFO] [EVAL] #Images=500 mIoU=0.7804 Acc=0.9598 Kappa=0.9478 2020-12-17 01:41:13 [INFO] [EVAL] Class IoU: [0.9818 0.8518 0.9202 0.5236 0.6144 0.5957 0.7012 0.7791 0.9232 0.6535 0.9461 0.8115 0.6177 0.9495 0.8346 0.8821 0.8136 0.656 0.7711] 2020-12-17 01:41:13 [INFO] [EVAL] Class Acc: [0.9913 0.9221 0.9476 0.8628 0.8142 0.7784 0.8211 0.9095 0.9548 0.8879 0.9694 0.8805 0.7987 0.972 0.9496 0.9569 0.9566 0.8317 0.8585] 2020-12-17 01:41:21 [INFO] [EVAL] The model with the best validation mIoU (0.7804) was saved at iter 53000. 2020-12-17 01:41:29 [INFO] [TRAIN] epoch=143, iter=53010/80000, loss=0.1542, lr=0.003761, batch_cost=0.8305, reader_cost=0.0018 | ETA 06:13:34 2020-12-17 01:41:37 [INFO] [TRAIN] epoch=143, iter=53020/80000, loss=0.1879, lr=0.003760, batch_cost=0.8171, reader_cost=0.0014 | ETA 06:07:25 2020-12-17 01:41:45 [INFO] [TRAIN] epoch=143, iter=53030/80000, loss=0.2258, lr=0.003759, batch_cost=0.7587, reader_cost=0.0036 | ETA 05:41:03 2020-12-17 01:41:50 [INFO] [TRAIN] epoch=143, iter=53040/80000, loss=0.2289, lr=0.003757, batch_cost=0.5295, reader_cost=0.0008 | ETA 03:57:55 2020-12-17 01:41:55 [INFO] [TRAIN] epoch=143, iter=53050/80000, loss=0.1385, lr=0.003756, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:03:53 2020-12-17 01:42:01 [INFO] [TRAIN] epoch=143, iter=53060/80000, loss=0.1786, lr=0.003755, batch_cost=0.5317, reader_cost=0.0001 | ETA 03:58:44 2020-12-17 01:42:06 [INFO] [TRAIN] epoch=143, iter=53070/80000, loss=0.1870, lr=0.003754, batch_cost=0.5298, reader_cost=0.0001 | ETA 03:57:46 2020-12-17 01:42:11 [INFO] [TRAIN] epoch=143, iter=53080/80000, loss=0.1678, lr=0.003752, batch_cost=0.5320, reader_cost=0.0001 | ETA 03:58:41 2020-12-17 01:42:17 [INFO] [TRAIN] epoch=143, iter=53090/80000, loss=0.1312, lr=0.003751, batch_cost=0.5511, reader_cost=0.0001 | ETA 04:07:11 2020-12-17 01:42:23 [INFO] [TRAIN] epoch=143, iter=53100/80000, loss=0.1615, lr=0.003750, batch_cost=0.5729, reader_cost=0.0001 | ETA 04:16:52 2020-12-17 01:42:29 [INFO] [TRAIN] epoch=143, iter=53110/80000, loss=0.1413, lr=0.003749, batch_cost=0.6780, reader_cost=0.0004 | ETA 05:03:50 2020-12-17 01:42:37 [INFO] [TRAIN] epoch=143, iter=53120/80000, loss=0.1936, lr=0.003747, batch_cost=0.7697, reader_cost=0.0004 | ETA 05:44:48 2020-12-17 01:42:44 [INFO] [TRAIN] epoch=143, iter=53130/80000, loss=0.1870, lr=0.003746, batch_cost=0.6783, reader_cost=0.0026 | ETA 05:03:46 2020-12-17 01:42:51 [INFO] [TRAIN] epoch=143, iter=53140/80000, loss=0.1546, lr=0.003745, batch_cost=0.7373, reader_cost=0.0037 | ETA 05:30:03 2020-12-17 01:42:59 [INFO] [TRAIN] epoch=143, iter=53150/80000, loss=0.1939, lr=0.003744, batch_cost=0.7942, reader_cost=0.0052 | ETA 05:55:23 2020-12-17 01:43:07 [INFO] [TRAIN] epoch=143, iter=53160/80000, loss=0.1638, lr=0.003742, batch_cost=0.8214, reader_cost=0.0007 | ETA 06:07:27 2020-12-17 01:43:16 [INFO] [TRAIN] epoch=143, iter=53170/80000, loss=0.1495, lr=0.003741, batch_cost=0.8532, reader_cost=0.0001 | ETA 06:21:32 2020-12-17 01:43:24 [INFO] [TRAIN] epoch=143, iter=53180/80000, loss=0.1505, lr=0.003740, batch_cost=0.8111, reader_cost=0.0004 | ETA 06:02:34 2020-12-17 01:43:33 [INFO] [TRAIN] epoch=143, iter=53190/80000, loss=0.1499, lr=0.003739, batch_cost=0.8957, reader_cost=0.0019 | ETA 06:40:14 2020-12-17 01:43:41 [INFO] [TRAIN] epoch=144, iter=53200/80000, loss=0.1593, lr=0.003737, batch_cost=0.8171, reader_cost=0.0916 | ETA 06:04:58 2020-12-17 01:43:49 [INFO] [TRAIN] epoch=144, iter=53210/80000, loss=0.1850, lr=0.003736, batch_cost=0.8158, reader_cost=0.0187 | ETA 06:04:15 2020-12-17 01:43:58 [INFO] [TRAIN] epoch=144, iter=53220/80000, loss=0.1086, lr=0.003735, batch_cost=0.8844, reader_cost=0.0389 | ETA 06:34:45 2020-12-17 01:44:06 [INFO] [TRAIN] epoch=144, iter=53230/80000, loss=0.1771, lr=0.003734, batch_cost=0.8192, reader_cost=0.0032 | ETA 06:05:30 2020-12-17 01:44:15 [INFO] [TRAIN] epoch=144, iter=53240/80000, loss=0.1859, lr=0.003732, batch_cost=0.8919, reader_cost=0.0026 | ETA 06:37:47 2020-12-17 01:44:23 [INFO] [TRAIN] epoch=144, iter=53250/80000, loss=0.1497, lr=0.003731, batch_cost=0.7920, reader_cost=0.0001 | ETA 05:53:06 2020-12-17 01:44:31 [INFO] [TRAIN] epoch=144, iter=53260/80000, loss=0.1710, lr=0.003730, batch_cost=0.7383, reader_cost=0.0031 | ETA 05:29:02 2020-12-17 01:44:39 [INFO] [TRAIN] epoch=144, iter=53270/80000, loss=0.1606, lr=0.003728, batch_cost=0.8929, reader_cost=0.0013 | ETA 06:37:47 2020-12-17 01:44:47 [INFO] [TRAIN] epoch=144, iter=53280/80000, loss=0.1355, lr=0.003727, batch_cost=0.7816, reader_cost=0.0033 | ETA 05:48:03 2020-12-17 01:44:55 [INFO] [TRAIN] epoch=144, iter=53290/80000, loss=0.1463, lr=0.003726, batch_cost=0.7838, reader_cost=0.0028 | ETA 05:48:55 2020-12-17 01:45:03 [INFO] [TRAIN] epoch=144, iter=53300/80000, loss=0.1729, lr=0.003725, batch_cost=0.7893, reader_cost=0.0073 | ETA 05:51:13 2020-12-17 01:45:11 [INFO] [TRAIN] epoch=144, iter=53310/80000, loss=0.1413, lr=0.003723, batch_cost=0.8139, reader_cost=0.0020 | ETA 06:02:03 2020-12-17 01:45:19 [INFO] [TRAIN] epoch=144, iter=53320/80000, loss=0.1533, lr=0.003722, batch_cost=0.8174, reader_cost=0.0013 | ETA 06:03:27 2020-12-17 01:45:28 [INFO] [TRAIN] epoch=144, iter=53330/80000, loss=0.1515, lr=0.003721, batch_cost=0.8440, reader_cost=0.0006 | ETA 06:15:09 2020-12-17 01:45:35 [INFO] [TRAIN] epoch=144, iter=53340/80000, loss=0.1662, lr=0.003720, batch_cost=0.7023, reader_cost=0.0015 | ETA 05:12:03 2020-12-17 01:45:43 [INFO] [TRAIN] epoch=144, iter=53350/80000, loss=0.1883, lr=0.003718, batch_cost=0.7966, reader_cost=0.0012 | ETA 05:53:49 2020-12-17 01:45:51 [INFO] [TRAIN] epoch=144, iter=53360/80000, loss=0.2164, lr=0.003717, batch_cost=0.8645, reader_cost=0.0020 | ETA 06:23:50 2020-12-17 01:45:59 [INFO] [TRAIN] epoch=144, iter=53370/80000, loss=0.2288, lr=0.003716, batch_cost=0.7115, reader_cost=0.0013 | ETA 05:15:46 2020-12-17 01:46:04 [INFO] [TRAIN] epoch=144, iter=53380/80000, loss=0.1615, lr=0.003715, batch_cost=0.5339, reader_cost=0.0001 | ETA 03:56:51 2020-12-17 01:46:10 [INFO] [TRAIN] epoch=144, iter=53390/80000, loss=0.2211, lr=0.003713, batch_cost=0.6434, reader_cost=0.0018 | ETA 04:45:21 2020-12-17 01:46:18 [INFO] [TRAIN] epoch=144, iter=53400/80000, loss=0.1901, lr=0.003712, batch_cost=0.7963, reader_cost=0.0001 | ETA 05:53:02 2020-12-17 01:46:27 [INFO] [TRAIN] epoch=144, iter=53410/80000, loss=0.2053, lr=0.003711, batch_cost=0.8186, reader_cost=0.0011 | ETA 06:02:47 2020-12-17 01:46:34 [INFO] [TRAIN] epoch=144, iter=53420/80000, loss=0.1643, lr=0.003710, batch_cost=0.7654, reader_cost=0.0017 | ETA 05:39:03 2020-12-17 01:46:42 [INFO] [TRAIN] epoch=144, iter=53430/80000, loss=0.1856, lr=0.003708, batch_cost=0.7972, reader_cost=0.0011 | ETA 05:53:01 2020-12-17 01:46:51 [INFO] [TRAIN] epoch=144, iter=53440/80000, loss=0.2321, lr=0.003707, batch_cost=0.8776, reader_cost=0.0024 | ETA 06:28:28 2020-12-17 01:46:59 [INFO] [TRAIN] epoch=144, iter=53450/80000, loss=0.2975, lr=0.003706, batch_cost=0.8162, reader_cost=0.0023 | ETA 06:01:09 2020-12-17 01:47:07 [INFO] [TRAIN] epoch=144, iter=53460/80000, loss=0.1484, lr=0.003705, batch_cost=0.8304, reader_cost=0.0001 | ETA 06:07:19 2020-12-17 01:47:15 [INFO] [TRAIN] epoch=144, iter=53470/80000, loss=0.1555, lr=0.003703, batch_cost=0.7898, reader_cost=0.0023 | ETA 05:49:13 2020-12-17 01:47:23 [INFO] [TRAIN] epoch=144, iter=53480/80000, loss=0.1970, lr=0.003702, batch_cost=0.7306, reader_cost=0.0016 | ETA 05:22:55 2020-12-17 01:47:30 [INFO] [TRAIN] epoch=144, iter=53490/80000, loss=0.1125, lr=0.003701, batch_cost=0.6938, reader_cost=0.0003 | ETA 05:06:33 2020-12-17 01:47:37 [INFO] [TRAIN] epoch=144, iter=53500/80000, loss=0.1963, lr=0.003700, batch_cost=0.7853, reader_cost=0.0037 | ETA 05:46:51 2020-12-17 01:47:45 [INFO] [TRAIN] epoch=144, iter=53510/80000, loss=0.3139, lr=0.003698, batch_cost=0.7918, reader_cost=0.0040 | ETA 05:49:34 2020-12-17 01:47:54 [INFO] [TRAIN] epoch=144, iter=53520/80000, loss=0.1936, lr=0.003697, batch_cost=0.8488, reader_cost=0.0007 | ETA 06:14:35 2020-12-17 01:48:02 [INFO] [TRAIN] epoch=144, iter=53530/80000, loss=0.1603, lr=0.003696, batch_cost=0.8201, reader_cost=0.0014 | ETA 06:01:49 2020-12-17 01:48:10 [INFO] [TRAIN] epoch=144, iter=53540/80000, loss=0.1329, lr=0.003695, batch_cost=0.7982, reader_cost=0.0001 | ETA 05:52:00 2020-12-17 01:48:18 [INFO] [TRAIN] epoch=144, iter=53550/80000, loss=0.2254, lr=0.003693, batch_cost=0.8243, reader_cost=0.0005 | ETA 06:03:22 2020-12-17 01:48:26 [INFO] [TRAIN] epoch=144, iter=53560/80000, loss=0.1712, lr=0.003692, batch_cost=0.8016, reader_cost=0.0014 | ETA 05:53:13 2020-12-17 01:48:34 [INFO] [TRAIN] epoch=145, iter=53570/80000, loss=0.1395, lr=0.003691, batch_cost=0.7427, reader_cost=0.0726 | ETA 05:27:08 2020-12-17 01:48:43 [INFO] [TRAIN] epoch=145, iter=53580/80000, loss=0.1880, lr=0.003690, batch_cost=0.8865, reader_cost=0.0016 | ETA 06:30:21 2020-12-17 01:48:51 [INFO] [TRAIN] epoch=145, iter=53590/80000, loss=0.1744, lr=0.003688, batch_cost=0.8507, reader_cost=0.0014 | ETA 06:14:26 2020-12-17 01:49:00 [INFO] [TRAIN] epoch=145, iter=53600/80000, loss=0.1787, lr=0.003687, batch_cost=0.8666, reader_cost=0.0005 | ETA 06:21:18 2020-12-17 01:49:08 [INFO] [TRAIN] epoch=145, iter=53610/80000, loss=0.2315, lr=0.003686, batch_cost=0.7767, reader_cost=0.0001 | ETA 05:41:37 2020-12-17 01:49:16 [INFO] [TRAIN] epoch=145, iter=53620/80000, loss=0.2160, lr=0.003685, batch_cost=0.8445, reader_cost=0.0010 | ETA 06:11:17 2020-12-17 01:49:24 [INFO] [TRAIN] epoch=145, iter=53630/80000, loss=0.1981, lr=0.003683, batch_cost=0.8247, reader_cost=0.0014 | ETA 06:02:27 2020-12-17 01:49:33 [INFO] [TRAIN] epoch=145, iter=53640/80000, loss=0.1653, lr=0.003682, batch_cost=0.8599, reader_cost=0.0035 | ETA 06:17:46 2020-12-17 01:49:40 [INFO] [TRAIN] epoch=145, iter=53650/80000, loss=0.2037, lr=0.003681, batch_cost=0.7681, reader_cost=0.0020 | ETA 05:37:20 2020-12-17 01:49:49 [INFO] [TRAIN] epoch=145, iter=53660/80000, loss=0.1776, lr=0.003679, batch_cost=0.8059, reader_cost=0.0017 | ETA 05:53:47 2020-12-17 01:49:56 [INFO] [TRAIN] epoch=145, iter=53670/80000, loss=0.1466, lr=0.003678, batch_cost=0.7819, reader_cost=0.0026 | ETA 05:43:07 2020-12-17 01:50:04 [INFO] [TRAIN] epoch=145, iter=53680/80000, loss=0.1841, lr=0.003677, batch_cost=0.7537, reader_cost=0.0016 | ETA 05:30:37 2020-12-17 01:50:11 [INFO] [TRAIN] epoch=145, iter=53690/80000, loss=0.1620, lr=0.003676, batch_cost=0.7478, reader_cost=0.0045 | ETA 05:27:55 2020-12-17 01:50:19 [INFO] [TRAIN] epoch=145, iter=53700/80000, loss=0.1686, lr=0.003674, batch_cost=0.7854, reader_cost=0.0001 | ETA 05:44:15 2020-12-17 01:50:27 [INFO] [TRAIN] epoch=145, iter=53710/80000, loss=0.2502, lr=0.003673, batch_cost=0.7325, reader_cost=0.0008 | ETA 05:20:57 2020-12-17 01:50:34 [INFO] [TRAIN] epoch=145, iter=53720/80000, loss=0.1789, lr=0.003672, batch_cost=0.7406, reader_cost=0.0006 | ETA 05:24:23 2020-12-17 01:50:39 [INFO] [TRAIN] epoch=145, iter=53730/80000, loss=0.1592, lr=0.003671, batch_cost=0.5357, reader_cost=0.0001 | ETA 03:54:31 2020-12-17 01:50:45 [INFO] [TRAIN] epoch=145, iter=53740/80000, loss=0.1392, lr=0.003669, batch_cost=0.5600, reader_cost=0.0004 | ETA 04:05:05 2020-12-17 01:50:52 [INFO] [TRAIN] epoch=145, iter=53750/80000, loss=0.1706, lr=0.003668, batch_cost=0.7297, reader_cost=0.0006 | ETA 05:19:13 2020-12-17 01:51:00 [INFO] [TRAIN] epoch=145, iter=53760/80000, loss=0.1964, lr=0.003667, batch_cost=0.7522, reader_cost=0.0012 | ETA 05:28:58 2020-12-17 01:51:08 [INFO] [TRAIN] epoch=145, iter=53770/80000, loss=0.1839, lr=0.003666, batch_cost=0.7808, reader_cost=0.0001 | ETA 05:41:21 2020-12-17 01:51:16 [INFO] [TRAIN] epoch=145, iter=53780/80000, loss=0.1764, lr=0.003664, batch_cost=0.8764, reader_cost=0.0002 | ETA 06:22:57 2020-12-17 01:51:24 [INFO] [TRAIN] epoch=145, iter=53790/80000, loss=0.2019, lr=0.003663, batch_cost=0.7647, reader_cost=0.0052 | ETA 05:34:03 2020-12-17 01:51:32 [INFO] [TRAIN] epoch=145, iter=53800/80000, loss=0.1914, lr=0.003662, batch_cost=0.7737, reader_cost=0.0033 | ETA 05:37:51 2020-12-17 01:51:41 [INFO] [TRAIN] epoch=145, iter=53810/80000, loss=0.1078, lr=0.003661, batch_cost=0.8745, reader_cost=0.0039 | ETA 06:21:42 2020-12-17 01:51:48 [INFO] [TRAIN] epoch=145, iter=53820/80000, loss=0.1638, lr=0.003659, batch_cost=0.7653, reader_cost=0.0011 | ETA 05:33:56 2020-12-17 01:51:56 [INFO] [TRAIN] epoch=145, iter=53830/80000, loss=0.1874, lr=0.003658, batch_cost=0.7787, reader_cost=0.0022 | ETA 05:39:39 2020-12-17 01:52:04 [INFO] [TRAIN] epoch=145, iter=53840/80000, loss=0.1723, lr=0.003657, batch_cost=0.8269, reader_cost=0.0024 | ETA 06:00:30 2020-12-17 01:52:12 [INFO] [TRAIN] epoch=145, iter=53850/80000, loss=0.1469, lr=0.003656, batch_cost=0.7862, reader_cost=0.0019 | ETA 05:42:38 2020-12-17 01:52:20 [INFO] [TRAIN] epoch=145, iter=53860/80000, loss=0.1679, lr=0.003654, batch_cost=0.8245, reader_cost=0.0008 | ETA 05:59:13 2020-12-17 01:52:28 [INFO] [TRAIN] epoch=145, iter=53870/80000, loss=0.1521, lr=0.003653, batch_cost=0.7785, reader_cost=0.0029 | ETA 05:39:02 2020-12-17 01:52:36 [INFO] [TRAIN] epoch=145, iter=53880/80000, loss=0.1555, lr=0.003652, batch_cost=0.7624, reader_cost=0.0019 | ETA 05:31:54 2020-12-17 01:52:44 [INFO] [TRAIN] epoch=145, iter=53890/80000, loss=0.1753, lr=0.003651, batch_cost=0.7944, reader_cost=0.0002 | ETA 05:45:42 2020-12-17 01:52:51 [INFO] [TRAIN] epoch=145, iter=53900/80000, loss=0.1630, lr=0.003649, batch_cost=0.7682, reader_cost=0.0022 | ETA 05:34:10 2020-12-17 01:52:59 [INFO] [TRAIN] epoch=145, iter=53910/80000, loss=0.1728, lr=0.003648, batch_cost=0.8111, reader_cost=0.0001 | ETA 05:52:40 2020-12-17 01:53:08 [INFO] [TRAIN] epoch=145, iter=53920/80000, loss=0.1667, lr=0.003647, batch_cost=0.8177, reader_cost=0.0006 | ETA 05:55:25 2020-12-17 01:53:16 [INFO] [TRAIN] epoch=145, iter=53930/80000, loss=0.1418, lr=0.003646, batch_cost=0.7921, reader_cost=0.0001 | ETA 05:44:09 2020-12-17 01:53:22 [INFO] [TRAIN] epoch=145, iter=53940/80000, loss=0.1511, lr=0.003644, batch_cost=0.6793, reader_cost=0.0031 | ETA 04:55:03 2020-12-17 01:53:31 [INFO] [TRAIN] epoch=146, iter=53950/80000, loss=0.1989, lr=0.003643, batch_cost=0.8664, reader_cost=0.0604 | ETA 06:16:08 2020-12-17 01:53:39 [INFO] [TRAIN] epoch=146, iter=53960/80000, loss=0.2176, lr=0.003642, batch_cost=0.8171, reader_cost=0.0001 | ETA 05:54:37 2020-12-17 01:53:48 [INFO] [TRAIN] epoch=146, iter=53970/80000, loss=0.1981, lr=0.003640, batch_cost=0.8295, reader_cost=0.0058 | ETA 05:59:52 2020-12-17 01:53:55 [INFO] [TRAIN] epoch=146, iter=53980/80000, loss=0.1624, lr=0.003639, batch_cost=0.7634, reader_cost=0.0014 | ETA 05:31:02 2020-12-17 01:54:04 [INFO] [TRAIN] epoch=146, iter=53990/80000, loss=0.2499, lr=0.003638, batch_cost=0.8627, reader_cost=0.0029 | ETA 06:13:58 2020-12-17 01:54:11 [INFO] [TRAIN] epoch=146, iter=54000/80000, loss=0.1369, lr=0.003637, batch_cost=0.7706, reader_cost=0.0001 | ETA 05:33:55 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-17 01:54:12 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 01:54:53 [INFO] [EVAL] #Images=500 mIoU=0.7680 Acc=0.9581 Kappa=0.9456 2020-12-17 01:54:53 [INFO] [EVAL] Class IoU: [0.9817 0.8532 0.9162 0.4813 0.6079 0.5785 0.6901 0.7766 0.9182 0.6425 0.9453 0.8016 0.5954 0.9471 0.8344 0.8667 0.7368 0.6497 0.7681] 2020-12-17 01:54:53 [INFO] [EVAL] Class Acc: [0.9934 0.9073 0.945 0.8748 0.808 0.8008 0.8312 0.8948 0.9511 0.7909 0.9692 0.8783 0.8136 0.9746 0.9521 0.937 0.9682 0.8391 0.8501] 2020-12-17 01:54:58 [INFO] [EVAL] The model with the best validation mIoU (0.7804) was saved at iter 53000. 2020-12-17 01:55:07 [INFO] [TRAIN] epoch=146, iter=54010/80000, loss=0.1471, lr=0.003635, batch_cost=0.8328, reader_cost=0.0019 | ETA 06:00:43 2020-12-17 01:55:14 [INFO] [TRAIN] epoch=146, iter=54020/80000, loss=0.1901, lr=0.003634, batch_cost=0.7208, reader_cost=0.0003 | ETA 05:12:06 2020-12-17 01:55:19 [INFO] [TRAIN] epoch=146, iter=54030/80000, loss=0.1851, lr=0.003633, batch_cost=0.5526, reader_cost=0.0001 | ETA 03:59:10 2020-12-17 01:55:26 [INFO] [TRAIN] epoch=146, iter=54040/80000, loss=0.1990, lr=0.003632, batch_cost=0.6735, reader_cost=0.0018 | ETA 04:51:23 2020-12-17 01:55:35 [INFO] [TRAIN] epoch=146, iter=54050/80000, loss=0.1931, lr=0.003630, batch_cost=0.8667, reader_cost=0.0012 | ETA 06:14:50 2020-12-17 01:55:43 [INFO] [TRAIN] epoch=146, iter=54060/80000, loss=0.1802, lr=0.003629, batch_cost=0.8112, reader_cost=0.0027 | ETA 05:50:41 2020-12-17 01:55:51 [INFO] [TRAIN] epoch=146, iter=54070/80000, loss=0.1461, lr=0.003628, batch_cost=0.7874, reader_cost=0.0007 | ETA 05:40:17 2020-12-17 01:55:58 [INFO] [TRAIN] epoch=146, iter=54080/80000, loss=0.1711, lr=0.003627, batch_cost=0.7584, reader_cost=0.0007 | ETA 05:27:37 2020-12-17 01:56:07 [INFO] [TRAIN] epoch=146, iter=54090/80000, loss=0.1270, lr=0.003625, batch_cost=0.8338, reader_cost=0.0001 | ETA 06:00:04 2020-12-17 01:56:15 [INFO] [TRAIN] epoch=146, iter=54100/80000, loss=0.1937, lr=0.003624, batch_cost=0.8616, reader_cost=0.0040 | ETA 06:11:56 2020-12-17 01:56:23 [INFO] [TRAIN] epoch=146, iter=54110/80000, loss=0.2324, lr=0.003623, batch_cost=0.8004, reader_cost=0.0001 | ETA 05:45:22 2020-12-17 01:56:31 [INFO] [TRAIN] epoch=146, iter=54120/80000, loss=0.1672, lr=0.003622, batch_cost=0.8009, reader_cost=0.0001 | ETA 05:45:26 2020-12-17 01:56:40 [INFO] [TRAIN] epoch=146, iter=54130/80000, loss=0.1423, lr=0.003620, batch_cost=0.8354, reader_cost=0.0001 | ETA 06:00:11 2020-12-17 01:56:48 [INFO] [TRAIN] epoch=146, iter=54140/80000, loss=0.1929, lr=0.003619, batch_cost=0.8131, reader_cost=0.0001 | ETA 05:50:26 2020-12-17 01:56:55 [INFO] [TRAIN] epoch=146, iter=54150/80000, loss=0.1513, lr=0.003618, batch_cost=0.7598, reader_cost=0.0015 | ETA 05:27:20 2020-12-17 01:57:03 [INFO] [TRAIN] epoch=146, iter=54160/80000, loss=0.1933, lr=0.003617, batch_cost=0.8040, reader_cost=0.0001 | ETA 05:46:14 2020-12-17 01:57:12 [INFO] [TRAIN] epoch=146, iter=54170/80000, loss=0.1404, lr=0.003615, batch_cost=0.8122, reader_cost=0.0002 | ETA 05:49:40 2020-12-17 01:57:20 [INFO] [TRAIN] epoch=146, iter=54180/80000, loss=0.2154, lr=0.003614, batch_cost=0.8050, reader_cost=0.0021 | ETA 05:46:25 2020-12-17 01:57:27 [INFO] [TRAIN] epoch=146, iter=54190/80000, loss=0.2053, lr=0.003613, batch_cost=0.7660, reader_cost=0.0005 | ETA 05:29:31 2020-12-17 01:57:36 [INFO] [TRAIN] epoch=146, iter=54200/80000, loss=0.1830, lr=0.003612, batch_cost=0.8596, reader_cost=0.0028 | ETA 06:09:37 2020-12-17 01:57:44 [INFO] [TRAIN] epoch=146, iter=54210/80000, loss=0.1619, lr=0.003610, batch_cost=0.8400, reader_cost=0.0026 | ETA 06:01:02 2020-12-17 01:57:53 [INFO] [TRAIN] epoch=146, iter=54220/80000, loss=0.1656, lr=0.003609, batch_cost=0.8326, reader_cost=0.0001 | ETA 05:57:44 2020-12-17 01:58:01 [INFO] [TRAIN] epoch=146, iter=54230/80000, loss=0.1400, lr=0.003608, batch_cost=0.8111, reader_cost=0.0030 | ETA 05:48:21 2020-12-17 01:58:09 [INFO] [TRAIN] epoch=146, iter=54240/80000, loss=0.2096, lr=0.003606, batch_cost=0.8415, reader_cost=0.0018 | ETA 06:01:18 2020-12-17 01:58:17 [INFO] [TRAIN] epoch=146, iter=54250/80000, loss=0.1379, lr=0.003605, batch_cost=0.7916, reader_cost=0.0004 | ETA 05:39:42 2020-12-17 01:58:25 [INFO] [TRAIN] epoch=146, iter=54260/80000, loss=0.1508, lr=0.003604, batch_cost=0.7431, reader_cost=0.0004 | ETA 05:18:47 2020-12-17 01:58:32 [INFO] [TRAIN] epoch=146, iter=54270/80000, loss=0.1436, lr=0.003603, batch_cost=0.7269, reader_cost=0.0002 | ETA 05:11:41 2020-12-17 01:58:40 [INFO] [TRAIN] epoch=146, iter=54280/80000, loss=0.1429, lr=0.003601, batch_cost=0.8041, reader_cost=0.0034 | ETA 05:44:41 2020-12-17 01:58:48 [INFO] [TRAIN] epoch=146, iter=54290/80000, loss=0.1696, lr=0.003600, batch_cost=0.8146, reader_cost=0.0034 | ETA 05:49:04 2020-12-17 01:58:56 [INFO] [TRAIN] epoch=146, iter=54300/80000, loss=0.1821, lr=0.003599, batch_cost=0.8033, reader_cost=0.0009 | ETA 05:44:04 2020-12-17 01:59:03 [INFO] [TRAIN] epoch=146, iter=54310/80000, loss=0.1587, lr=0.003598, batch_cost=0.6652, reader_cost=0.0027 | ETA 04:44:47 2020-12-17 01:59:12 [INFO] [TRAIN] epoch=147, iter=54320/80000, loss=0.1790, lr=0.003596, batch_cost=0.8985, reader_cost=0.0548 | ETA 06:24:32 2020-12-17 01:59:20 [INFO] [TRAIN] epoch=147, iter=54330/80000, loss=0.1692, lr=0.003595, batch_cost=0.8479, reader_cost=0.0001 | ETA 06:02:46 2020-12-17 01:59:28 [INFO] [TRAIN] epoch=147, iter=54340/80000, loss=0.2152, lr=0.003594, batch_cost=0.7904, reader_cost=0.0058 | ETA 05:38:00 2020-12-17 01:59:36 [INFO] [TRAIN] epoch=147, iter=54350/80000, loss=0.2119, lr=0.003593, batch_cost=0.7654, reader_cost=0.0005 | ETA 05:27:11 2020-12-17 01:59:43 [INFO] [TRAIN] epoch=147, iter=54360/80000, loss=0.1431, lr=0.003591, batch_cost=0.7170, reader_cost=0.0007 | ETA 05:06:22 2020-12-17 01:59:50 [INFO] [TRAIN] epoch=147, iter=54370/80000, loss=0.1250, lr=0.003590, batch_cost=0.7350, reader_cost=0.0007 | ETA 05:13:58 2020-12-17 01:59:56 [INFO] [TRAIN] epoch=147, iter=54380/80000, loss=0.1726, lr=0.003589, batch_cost=0.5443, reader_cost=0.0002 | ETA 03:52:24 2020-12-17 02:00:02 [INFO] [TRAIN] epoch=147, iter=54390/80000, loss=0.1407, lr=0.003588, batch_cost=0.5898, reader_cost=0.0002 | ETA 04:11:45 2020-12-17 02:00:10 [INFO] [TRAIN] epoch=147, iter=54400/80000, loss=0.1865, lr=0.003586, batch_cost=0.8243, reader_cost=0.0023 | ETA 05:51:43 2020-12-17 02:00:18 [INFO] [TRAIN] epoch=147, iter=54410/80000, loss=0.1581, lr=0.003585, batch_cost=0.7960, reader_cost=0.0010 | ETA 05:39:28 2020-12-17 02:00:26 [INFO] [TRAIN] epoch=147, iter=54420/80000, loss=0.1641, lr=0.003584, batch_cost=0.8183, reader_cost=0.0008 | ETA 05:48:50 2020-12-17 02:00:34 [INFO] [TRAIN] epoch=147, iter=54430/80000, loss=0.1500, lr=0.003583, batch_cost=0.8231, reader_cost=0.0033 | ETA 05:50:45 2020-12-17 02:00:43 [INFO] [TRAIN] epoch=147, iter=54440/80000, loss=0.1498, lr=0.003581, batch_cost=0.8648, reader_cost=0.0001 | ETA 06:08:24 2020-12-17 02:00:50 [INFO] [TRAIN] epoch=147, iter=54450/80000, loss=0.1990, lr=0.003580, batch_cost=0.7322, reader_cost=0.0022 | ETA 05:11:46 2020-12-17 02:00:58 [INFO] [TRAIN] epoch=147, iter=54460/80000, loss=0.2028, lr=0.003579, batch_cost=0.8058, reader_cost=0.0080 | ETA 05:42:59 2020-12-17 02:01:06 [INFO] [TRAIN] epoch=147, iter=54470/80000, loss=0.1358, lr=0.003578, batch_cost=0.7738, reader_cost=0.0021 | ETA 05:29:13 2020-12-17 02:01:15 [INFO] [TRAIN] epoch=147, iter=54480/80000, loss=0.2103, lr=0.003576, batch_cost=0.8813, reader_cost=0.0001 | ETA 06:14:50 2020-12-17 02:01:23 [INFO] [TRAIN] epoch=147, iter=54490/80000, loss=0.1390, lr=0.003575, batch_cost=0.7930, reader_cost=0.0008 | ETA 05:37:08 2020-12-17 02:01:31 [INFO] [TRAIN] epoch=147, iter=54500/80000, loss=0.1693, lr=0.003574, batch_cost=0.7863, reader_cost=0.0017 | ETA 05:34:10 2020-12-17 02:01:39 [INFO] [TRAIN] epoch=147, iter=54510/80000, loss=0.1521, lr=0.003572, batch_cost=0.8111, reader_cost=0.0001 | ETA 05:44:34 2020-12-17 02:01:46 [INFO] [TRAIN] epoch=147, iter=54520/80000, loss=0.1266, lr=0.003571, batch_cost=0.7698, reader_cost=0.0043 | ETA 05:26:53 2020-12-17 02:01:54 [INFO] [TRAIN] epoch=147, iter=54530/80000, loss=0.1657, lr=0.003570, batch_cost=0.7693, reader_cost=0.0028 | ETA 05:26:33 2020-12-17 02:02:02 [INFO] [TRAIN] epoch=147, iter=54540/80000, loss=0.1627, lr=0.003569, batch_cost=0.7908, reader_cost=0.0016 | ETA 05:35:32 2020-12-17 02:02:11 [INFO] [TRAIN] epoch=147, iter=54550/80000, loss=0.1717, lr=0.003567, batch_cost=0.8586, reader_cost=0.0015 | ETA 06:04:12 2020-12-17 02:02:19 [INFO] [TRAIN] epoch=147, iter=54560/80000, loss=0.1596, lr=0.003566, batch_cost=0.8371, reader_cost=0.0023 | ETA 05:54:55 2020-12-17 02:02:28 [INFO] [TRAIN] epoch=147, iter=54570/80000, loss=0.1425, lr=0.003565, batch_cost=0.8602, reader_cost=0.0026 | ETA 06:04:33 2020-12-17 02:02:37 [INFO] [TRAIN] epoch=147, iter=54580/80000, loss=0.1753, lr=0.003564, batch_cost=0.9003, reader_cost=0.0005 | ETA 06:21:25 2020-12-17 02:02:45 [INFO] [TRAIN] epoch=147, iter=54590/80000, loss=0.1412, lr=0.003562, batch_cost=0.7917, reader_cost=0.0001 | ETA 05:35:16 2020-12-17 02:02:52 [INFO] [TRAIN] epoch=147, iter=54600/80000, loss=0.1563, lr=0.003561, batch_cost=0.7491, reader_cost=0.0021 | ETA 05:17:07 2020-12-17 02:03:00 [INFO] [TRAIN] epoch=147, iter=54610/80000, loss=0.1750, lr=0.003560, batch_cost=0.8177, reader_cost=0.0020 | ETA 05:46:02 2020-12-17 02:03:08 [INFO] [TRAIN] epoch=147, iter=54620/80000, loss=0.1616, lr=0.003559, batch_cost=0.7270, reader_cost=0.0015 | ETA 05:07:32 2020-12-17 02:03:16 [INFO] [TRAIN] epoch=147, iter=54630/80000, loss=0.1915, lr=0.003557, batch_cost=0.8277, reader_cost=0.0026 | ETA 05:49:59 2020-12-17 02:03:24 [INFO] [TRAIN] epoch=147, iter=54640/80000, loss=0.1326, lr=0.003556, batch_cost=0.8234, reader_cost=0.0004 | ETA 05:48:01 2020-12-17 02:03:33 [INFO] [TRAIN] epoch=147, iter=54650/80000, loss=0.1718, lr=0.003555, batch_cost=0.8817, reader_cost=0.0006 | ETA 06:12:30 2020-12-17 02:03:41 [INFO] [TRAIN] epoch=147, iter=54660/80000, loss=0.2199, lr=0.003554, batch_cost=0.8272, reader_cost=0.0004 | ETA 05:49:22 2020-12-17 02:03:50 [INFO] [TRAIN] epoch=147, iter=54670/80000, loss=0.1434, lr=0.003552, batch_cost=0.8683, reader_cost=0.0004 | ETA 06:06:34 2020-12-17 02:03:58 [INFO] [TRAIN] epoch=147, iter=54680/80000, loss=0.1355, lr=0.003551, batch_cost=0.7955, reader_cost=0.0020 | ETA 05:35:42 2020-12-17 02:04:05 [INFO] [TRAIN] epoch=148, iter=54690/80000, loss=0.1984, lr=0.003550, batch_cost=0.7450, reader_cost=0.0755 | ETA 05:14:15 2020-12-17 02:04:14 [INFO] [TRAIN] epoch=148, iter=54700/80000, loss=0.1428, lr=0.003548, batch_cost=0.8376, reader_cost=0.0092 | ETA 05:53:11 2020-12-17 02:04:21 [INFO] [TRAIN] epoch=148, iter=54710/80000, loss=0.1606, lr=0.003547, batch_cost=0.7609, reader_cost=0.0049 | ETA 05:20:43 2020-12-17 02:04:29 [INFO] [TRAIN] epoch=148, iter=54720/80000, loss=0.1943, lr=0.003546, batch_cost=0.7905, reader_cost=0.0001 | ETA 05:33:03 2020-12-17 02:04:35 [INFO] [TRAIN] epoch=148, iter=54730/80000, loss=0.1549, lr=0.003545, batch_cost=0.5462, reader_cost=0.0002 | ETA 03:50:01 2020-12-17 02:04:40 [INFO] [TRAIN] epoch=148, iter=54740/80000, loss=0.1553, lr=0.003543, batch_cost=0.5843, reader_cost=0.0001 | ETA 04:05:58 2020-12-17 02:04:48 [INFO] [TRAIN] epoch=148, iter=54750/80000, loss=0.1451, lr=0.003542, batch_cost=0.7472, reader_cost=0.0028 | ETA 05:14:25 2020-12-17 02:04:56 [INFO] [TRAIN] epoch=148, iter=54760/80000, loss=0.1459, lr=0.003541, batch_cost=0.8117, reader_cost=0.0001 | ETA 05:41:26 2020-12-17 02:05:05 [INFO] [TRAIN] epoch=148, iter=54770/80000, loss=0.1631, lr=0.003540, batch_cost=0.8610, reader_cost=0.0022 | ETA 06:02:02 2020-12-17 02:05:13 [INFO] [TRAIN] epoch=148, iter=54780/80000, loss=0.1775, lr=0.003538, batch_cost=0.8263, reader_cost=0.0007 | ETA 05:47:19 2020-12-17 02:05:21 [INFO] [TRAIN] epoch=148, iter=54790/80000, loss=0.1957, lr=0.003537, batch_cost=0.8298, reader_cost=0.0005 | ETA 05:48:39 2020-12-17 02:05:29 [INFO] [TRAIN] epoch=148, iter=54800/80000, loss=0.1653, lr=0.003536, batch_cost=0.7712, reader_cost=0.0002 | ETA 05:23:53 2020-12-17 02:05:37 [INFO] [TRAIN] epoch=148, iter=54810/80000, loss=0.1965, lr=0.003535, batch_cost=0.8124, reader_cost=0.0010 | ETA 05:41:03 2020-12-17 02:05:45 [INFO] [TRAIN] epoch=148, iter=54820/80000, loss=0.1672, lr=0.003533, batch_cost=0.7944, reader_cost=0.0001 | ETA 05:33:22 2020-12-17 02:05:53 [INFO] [TRAIN] epoch=148, iter=54830/80000, loss=0.1913, lr=0.003532, batch_cost=0.8131, reader_cost=0.0014 | ETA 05:41:05 2020-12-17 02:06:01 [INFO] [TRAIN] epoch=148, iter=54840/80000, loss=0.1975, lr=0.003531, batch_cost=0.7505, reader_cost=0.0017 | ETA 05:14:41 2020-12-17 02:06:09 [INFO] [TRAIN] epoch=148, iter=54850/80000, loss=0.1819, lr=0.003530, batch_cost=0.8142, reader_cost=0.0002 | ETA 05:41:18 2020-12-17 02:06:17 [INFO] [TRAIN] epoch=148, iter=54860/80000, loss=0.1147, lr=0.003528, batch_cost=0.8376, reader_cost=0.0027 | ETA 05:50:58 2020-12-17 02:06:24 [INFO] [TRAIN] epoch=148, iter=54870/80000, loss=0.1530, lr=0.003527, batch_cost=0.6979, reader_cost=0.0037 | ETA 04:52:19 2020-12-17 02:06:31 [INFO] [TRAIN] epoch=148, iter=54880/80000, loss=0.1917, lr=0.003526, batch_cost=0.7208, reader_cost=0.0001 | ETA 05:01:46 2020-12-17 02:06:39 [INFO] [TRAIN] epoch=148, iter=54890/80000, loss=0.1503, lr=0.003524, batch_cost=0.7999, reader_cost=0.0020 | ETA 05:34:46 2020-12-17 02:06:48 [INFO] [TRAIN] epoch=148, iter=54900/80000, loss=0.1553, lr=0.003523, batch_cost=0.8622, reader_cost=0.0009 | ETA 06:00:42 2020-12-17 02:06:56 [INFO] [TRAIN] epoch=148, iter=54910/80000, loss=0.1462, lr=0.003522, batch_cost=0.8293, reader_cost=0.0006 | ETA 05:46:46 2020-12-17 02:07:04 [INFO] [TRAIN] epoch=148, iter=54920/80000, loss=0.1563, lr=0.003521, batch_cost=0.7782, reader_cost=0.0009 | ETA 05:25:16 2020-12-17 02:07:11 [INFO] [TRAIN] epoch=148, iter=54930/80000, loss=0.1468, lr=0.003519, batch_cost=0.6800, reader_cost=0.0001 | ETA 04:44:07 2020-12-17 02:07:16 [INFO] [TRAIN] epoch=148, iter=54940/80000, loss=0.2301, lr=0.003518, batch_cost=0.5405, reader_cost=0.0005 | ETA 03:45:45 2020-12-17 02:07:22 [INFO] [TRAIN] epoch=148, iter=54950/80000, loss=0.1763, lr=0.003517, batch_cost=0.5419, reader_cost=0.0001 | ETA 03:46:14 2020-12-17 02:07:27 [INFO] [TRAIN] epoch=148, iter=54960/80000, loss=0.1349, lr=0.003516, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:45:59 2020-12-17 02:07:32 [INFO] [TRAIN] epoch=148, iter=54970/80000, loss=0.1229, lr=0.003514, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:45:01 2020-12-17 02:07:38 [INFO] [TRAIN] epoch=148, iter=54980/80000, loss=0.1684, lr=0.003513, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:44:45 2020-12-17 02:07:43 [INFO] [TRAIN] epoch=148, iter=54990/80000, loss=0.1784, lr=0.003512, batch_cost=0.5548, reader_cost=0.0003 | ETA 03:51:15 2020-12-17 02:07:49 [INFO] [TRAIN] epoch=148, iter=55000/80000, loss=0.1550, lr=0.003511, batch_cost=0.5434, reader_cost=0.0001 | ETA 03:46:25 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-17 02:07:49 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:08:22 [INFO] [EVAL] #Images=500 mIoU=0.7813 Acc=0.9600 Kappa=0.9481 2020-12-17 02:08:22 [INFO] [EVAL] Class IoU: [0.9824 0.8551 0.9199 0.5497 0.5798 0.5972 0.695 0.7794 0.9235 0.6639 0.946 0.8084 0.6052 0.9499 0.8589 0.888 0.8186 0.6547 0.769 ] 2020-12-17 02:08:22 [INFO] [EVAL] Class Acc: [0.9915 0.9236 0.9468 0.8695 0.8245 0.7738 0.8456 0.8917 0.9582 0.861 0.9656 0.8728 0.7947 0.9736 0.9512 0.9488 0.9457 0.8467 0.8585] 2020-12-17 02:08:29 [INFO] [EVAL] The model with the best validation mIoU (0.7813) was saved at iter 55000. 2020-12-17 02:08:34 [INFO] [TRAIN] epoch=148, iter=55010/80000, loss=0.1754, lr=0.003509, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:44:48 2020-12-17 02:08:39 [INFO] [TRAIN] epoch=148, iter=55020/80000, loss=0.1484, lr=0.003508, batch_cost=0.5338, reader_cost=0.0001 | ETA 03:42:13 2020-12-17 02:08:45 [INFO] [TRAIN] epoch=148, iter=55030/80000, loss=0.1922, lr=0.003507, batch_cost=0.5419, reader_cost=0.0002 | ETA 03:45:30 2020-12-17 02:08:50 [INFO] [TRAIN] epoch=148, iter=55040/80000, loss=0.1648, lr=0.003506, batch_cost=0.5411, reader_cost=0.0002 | ETA 03:45:05 2020-12-17 02:08:56 [INFO] [TRAIN] epoch=148, iter=55050/80000, loss=0.1729, lr=0.003504, batch_cost=0.5375, reader_cost=0.0002 | ETA 03:43:31 2020-12-17 02:09:01 [INFO] [TRAIN] epoch=149, iter=55060/80000, loss=0.1310, lr=0.003503, batch_cost=0.5859, reader_cost=0.0565 | ETA 04:03:33 2020-12-17 02:09:07 [INFO] [TRAIN] epoch=149, iter=55070/80000, loss=0.1708, lr=0.003502, batch_cost=0.5739, reader_cost=0.0017 | ETA 03:58:27 2020-12-17 02:09:13 [INFO] [TRAIN] epoch=149, iter=55080/80000, loss=0.2795, lr=0.003500, batch_cost=0.5453, reader_cost=0.0002 | ETA 03:46:28 2020-12-17 02:09:18 [INFO] [TRAIN] epoch=149, iter=55090/80000, loss=0.2030, lr=0.003499, batch_cost=0.5644, reader_cost=0.0001 | ETA 03:54:17 2020-12-17 02:09:24 [INFO] [TRAIN] epoch=149, iter=55100/80000, loss=0.1678, lr=0.003498, batch_cost=0.5526, reader_cost=0.0001 | ETA 03:49:19 2020-12-17 02:09:29 [INFO] [TRAIN] epoch=149, iter=55110/80000, loss=0.2805, lr=0.003497, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:44:28 2020-12-17 02:09:35 [INFO] [TRAIN] epoch=149, iter=55120/80000, loss=0.1761, lr=0.003495, batch_cost=0.5460, reader_cost=0.0001 | ETA 03:46:24 2020-12-17 02:09:40 [INFO] [TRAIN] epoch=149, iter=55130/80000, loss=0.1465, lr=0.003494, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:45:12 2020-12-17 02:09:46 [INFO] [TRAIN] epoch=149, iter=55140/80000, loss=0.1736, lr=0.003493, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:44:10 2020-12-17 02:09:51 [INFO] [TRAIN] epoch=149, iter=55150/80000, loss=0.1483, lr=0.003492, batch_cost=0.5442, reader_cost=0.0001 | ETA 03:45:23 2020-12-17 02:09:56 [INFO] [TRAIN] epoch=149, iter=55160/80000, loss=0.1968, lr=0.003490, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:44:46 2020-12-17 02:10:02 [INFO] [TRAIN] epoch=149, iter=55170/80000, loss=0.1946, lr=0.003489, batch_cost=0.5422, reader_cost=0.0001 | ETA 03:44:23 2020-12-17 02:10:07 [INFO] [TRAIN] epoch=149, iter=55180/80000, loss=0.1929, lr=0.003488, batch_cost=0.5589, reader_cost=0.0002 | ETA 03:51:12 2020-12-17 02:10:13 [INFO] [TRAIN] epoch=149, iter=55190/80000, loss=0.1804, lr=0.003487, batch_cost=0.5467, reader_cost=0.0001 | ETA 03:46:03 2020-12-17 02:10:18 [INFO] [TRAIN] epoch=149, iter=55200/80000, loss=0.1455, lr=0.003485, batch_cost=0.5318, reader_cost=0.0001 | ETA 03:39:49 2020-12-17 02:10:24 [INFO] [TRAIN] epoch=149, iter=55210/80000, loss=0.1948, lr=0.003484, batch_cost=0.5357, reader_cost=0.0001 | ETA 03:41:19 2020-12-17 02:10:29 [INFO] [TRAIN] epoch=149, iter=55220/80000, loss=0.1622, lr=0.003483, batch_cost=0.5610, reader_cost=0.0002 | ETA 03:51:41 2020-12-17 02:10:35 [INFO] [TRAIN] epoch=149, iter=55230/80000, loss=0.1727, lr=0.003482, batch_cost=0.5609, reader_cost=0.0001 | ETA 03:51:32 2020-12-17 02:10:40 [INFO] [TRAIN] epoch=149, iter=55240/80000, loss=0.1529, lr=0.003480, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:43:30 2020-12-17 02:10:46 [INFO] [TRAIN] epoch=149, iter=55250/80000, loss=0.1540, lr=0.003479, batch_cost=0.5460, reader_cost=0.0001 | ETA 03:45:13 2020-12-17 02:10:51 [INFO] [TRAIN] epoch=149, iter=55260/80000, loss=0.2221, lr=0.003478, batch_cost=0.5491, reader_cost=0.0001 | ETA 03:46:24 2020-12-17 02:10:56 [INFO] [TRAIN] epoch=149, iter=55270/80000, loss=0.1548, lr=0.003476, batch_cost=0.5313, reader_cost=0.0006 | ETA 03:38:58 2020-12-17 02:11:02 [INFO] [TRAIN] epoch=149, iter=55280/80000, loss=0.2016, lr=0.003475, batch_cost=0.5472, reader_cost=0.0002 | ETA 03:45:26 2020-12-17 02:11:08 [INFO] [TRAIN] epoch=149, iter=55290/80000, loss=0.1372, lr=0.003474, batch_cost=0.5632, reader_cost=0.0001 | ETA 03:51:56 2020-12-17 02:11:13 [INFO] [TRAIN] epoch=149, iter=55300/80000, loss=0.2010, lr=0.003473, batch_cost=0.5350, reader_cost=0.0001 | ETA 03:40:14 2020-12-17 02:11:18 [INFO] [TRAIN] epoch=149, iter=55310/80000, loss=0.1382, lr=0.003471, batch_cost=0.5480, reader_cost=0.0002 | ETA 03:45:31 2020-12-17 02:11:24 [INFO] [TRAIN] epoch=149, iter=55320/80000, loss=0.1533, lr=0.003470, batch_cost=0.5297, reader_cost=0.0001 | ETA 03:37:52 2020-12-17 02:11:29 [INFO] [TRAIN] epoch=149, iter=55330/80000, loss=0.1666, lr=0.003469, batch_cost=0.5428, reader_cost=0.0001 | ETA 03:43:10 2020-12-17 02:11:35 [INFO] [TRAIN] epoch=149, iter=55340/80000, loss=0.1613, lr=0.003468, batch_cost=0.5386, reader_cost=0.0002 | ETA 03:41:20 2020-12-17 02:11:40 [INFO] [TRAIN] epoch=149, iter=55350/80000, loss=0.1240, lr=0.003466, batch_cost=0.5564, reader_cost=0.0001 | ETA 03:48:36 2020-12-17 02:11:45 [INFO] [TRAIN] epoch=149, iter=55360/80000, loss=0.1754, lr=0.003465, batch_cost=0.5346, reader_cost=0.0001 | ETA 03:39:31 2020-12-17 02:11:51 [INFO] [TRAIN] epoch=149, iter=55370/80000, loss=0.2216, lr=0.003464, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:41:37 2020-12-17 02:11:56 [INFO] [TRAIN] epoch=149, iter=55380/80000, loss=0.2059, lr=0.003463, batch_cost=0.5602, reader_cost=0.0001 | ETA 03:49:51 2020-12-17 02:12:02 [INFO] [TRAIN] epoch=149, iter=55390/80000, loss=0.1735, lr=0.003461, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:41:16 2020-12-17 02:12:07 [INFO] [TRAIN] epoch=149, iter=55400/80000, loss=0.2122, lr=0.003460, batch_cost=0.5528, reader_cost=0.0003 | ETA 03:46:39 2020-12-17 02:12:13 [INFO] [TRAIN] epoch=149, iter=55410/80000, loss=0.1243, lr=0.003459, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:42:09 2020-12-17 02:12:18 [INFO] [TRAIN] epoch=149, iter=55420/80000, loss=0.1580, lr=0.003457, batch_cost=0.5487, reader_cost=0.0001 | ETA 03:44:48 2020-12-17 02:12:24 [INFO] [TRAIN] epoch=150, iter=55430/80000, loss=0.1880, lr=0.003456, batch_cost=0.5979, reader_cost=0.0806 | ETA 04:04:50 2020-12-17 02:12:30 [INFO] [TRAIN] epoch=150, iter=55440/80000, loss=0.1341, lr=0.003455, batch_cost=0.5653, reader_cost=0.0014 | ETA 03:51:24 2020-12-17 02:12:36 [INFO] [TRAIN] epoch=150, iter=55450/80000, loss=0.1659, lr=0.003454, batch_cost=0.5708, reader_cost=0.0001 | ETA 03:53:33 2020-12-17 02:12:41 [INFO] [TRAIN] epoch=150, iter=55460/80000, loss=0.1785, lr=0.003452, batch_cost=0.5667, reader_cost=0.0001 | ETA 03:51:46 2020-12-17 02:12:47 [INFO] [TRAIN] epoch=150, iter=55470/80000, loss=0.1794, lr=0.003451, batch_cost=0.5555, reader_cost=0.0001 | ETA 03:47:05 2020-12-17 02:12:52 [INFO] [TRAIN] epoch=150, iter=55480/80000, loss=0.1499, lr=0.003450, batch_cost=0.5607, reader_cost=0.0001 | ETA 03:49:08 2020-12-17 02:12:58 [INFO] [TRAIN] epoch=150, iter=55490/80000, loss=0.2068, lr=0.003449, batch_cost=0.5547, reader_cost=0.0002 | ETA 03:46:34 2020-12-17 02:13:03 [INFO] [TRAIN] epoch=150, iter=55500/80000, loss=0.2252, lr=0.003447, batch_cost=0.5402, reader_cost=0.0001 | ETA 03:40:34 2020-12-17 02:13:09 [INFO] [TRAIN] epoch=150, iter=55510/80000, loss=0.1536, lr=0.003446, batch_cost=0.5506, reader_cost=0.0002 | ETA 03:44:42 2020-12-17 02:13:14 [INFO] [TRAIN] epoch=150, iter=55520/80000, loss=0.1480, lr=0.003445, batch_cost=0.5466, reader_cost=0.0001 | ETA 03:42:59 2020-12-17 02:13:20 [INFO] [TRAIN] epoch=150, iter=55530/80000, loss=0.2026, lr=0.003444, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:41:24 2020-12-17 02:13:25 [INFO] [TRAIN] epoch=150, iter=55540/80000, loss=0.1634, lr=0.003442, batch_cost=0.5458, reader_cost=0.0001 | ETA 03:42:29 2020-12-17 02:13:31 [INFO] [TRAIN] epoch=150, iter=55550/80000, loss=0.0919, lr=0.003441, batch_cost=0.5278, reader_cost=0.0001 | ETA 03:35:05 2020-12-17 02:13:36 [INFO] [TRAIN] epoch=150, iter=55560/80000, loss=0.1689, lr=0.003440, batch_cost=0.5451, reader_cost=0.0001 | ETA 03:42:02 2020-12-17 02:13:42 [INFO] [TRAIN] epoch=150, iter=55570/80000, loss=0.1880, lr=0.003438, batch_cost=0.5529, reader_cost=0.0001 | ETA 03:45:07 2020-12-17 02:13:47 [INFO] [TRAIN] epoch=150, iter=55580/80000, loss=0.2094, lr=0.003437, batch_cost=0.5557, reader_cost=0.0001 | ETA 03:46:11 2020-12-17 02:13:53 [INFO] [TRAIN] epoch=150, iter=55590/80000, loss=0.1675, lr=0.003436, batch_cost=0.5519, reader_cost=0.0001 | ETA 03:44:32 2020-12-17 02:13:58 [INFO] [TRAIN] epoch=150, iter=55600/80000, loss=0.1201, lr=0.003435, batch_cost=0.5245, reader_cost=0.0001 | ETA 03:33:18 2020-12-17 02:14:03 [INFO] [TRAIN] epoch=150, iter=55610/80000, loss=0.1261, lr=0.003433, batch_cost=0.5420, reader_cost=0.0002 | ETA 03:40:20 2020-12-17 02:14:09 [INFO] [TRAIN] epoch=150, iter=55620/80000, loss=0.1441, lr=0.003432, batch_cost=0.5508, reader_cost=0.0001 | ETA 03:43:48 2020-12-17 02:14:14 [INFO] [TRAIN] epoch=150, iter=55630/80000, loss=0.1551, lr=0.003431, batch_cost=0.5500, reader_cost=0.0001 | ETA 03:43:23 2020-12-17 02:14:20 [INFO] [TRAIN] epoch=150, iter=55640/80000, loss=0.1539, lr=0.003430, batch_cost=0.5353, reader_cost=0.0003 | ETA 03:37:20 2020-12-17 02:14:25 [INFO] [TRAIN] epoch=150, iter=55650/80000, loss=0.1491, lr=0.003428, batch_cost=0.5489, reader_cost=0.0001 | ETA 03:42:46 2020-12-17 02:14:30 [INFO] [TRAIN] epoch=150, iter=55660/80000, loss=0.2905, lr=0.003427, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:37:14 2020-12-17 02:14:36 [INFO] [TRAIN] epoch=150, iter=55670/80000, loss=0.1718, lr=0.003426, batch_cost=0.5443, reader_cost=0.0001 | ETA 03:40:43 2020-12-17 02:14:41 [INFO] [TRAIN] epoch=150, iter=55680/80000, loss=0.1472, lr=0.003425, batch_cost=0.5299, reader_cost=0.0001 | ETA 03:34:46 2020-12-17 02:14:47 [INFO] [TRAIN] epoch=150, iter=55690/80000, loss=0.2212, lr=0.003423, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:38:49 2020-12-17 02:14:52 [INFO] [TRAIN] epoch=150, iter=55700/80000, loss=0.1777, lr=0.003422, batch_cost=0.5319, reader_cost=0.0001 | ETA 03:35:26 2020-12-17 02:14:57 [INFO] [TRAIN] epoch=150, iter=55710/80000, loss=0.1397, lr=0.003421, batch_cost=0.5538, reader_cost=0.0001 | ETA 03:44:10 2020-12-17 02:15:03 [INFO] [TRAIN] epoch=150, iter=55720/80000, loss=0.1957, lr=0.003419, batch_cost=0.5542, reader_cost=0.0001 | ETA 03:44:15 2020-12-17 02:15:09 [INFO] [TRAIN] epoch=150, iter=55730/80000, loss=0.1546, lr=0.003418, batch_cost=0.5516, reader_cost=0.0001 | ETA 03:43:06 2020-12-17 02:15:14 [INFO] [TRAIN] epoch=150, iter=55740/80000, loss=0.1480, lr=0.003417, batch_cost=0.5507, reader_cost=0.0001 | ETA 03:42:39 2020-12-17 02:15:20 [INFO] [TRAIN] epoch=150, iter=55750/80000, loss=0.2321, lr=0.003416, batch_cost=0.5515, reader_cost=0.0001 | ETA 03:42:54 2020-12-17 02:15:25 [INFO] [TRAIN] epoch=150, iter=55760/80000, loss=0.1776, lr=0.003414, batch_cost=0.5485, reader_cost=0.0001 | ETA 03:41:35 2020-12-17 02:15:31 [INFO] [TRAIN] epoch=150, iter=55770/80000, loss=0.1452, lr=0.003413, batch_cost=0.5561, reader_cost=0.0002 | ETA 03:44:34 2020-12-17 02:15:36 [INFO] [TRAIN] epoch=150, iter=55780/80000, loss=0.1659, lr=0.003412, batch_cost=0.5515, reader_cost=0.0001 | ETA 03:42:36 2020-12-17 02:15:42 [INFO] [TRAIN] epoch=150, iter=55790/80000, loss=0.3326, lr=0.003411, batch_cost=0.5458, reader_cost=0.0001 | ETA 03:40:13 2020-12-17 02:15:47 [INFO] [TRAIN] epoch=150, iter=55800/80000, loss=0.1231, lr=0.003409, batch_cost=0.5142, reader_cost=0.0002 | ETA 03:27:23 2020-12-17 02:15:53 [INFO] [TRAIN] epoch=151, iter=55810/80000, loss=0.1364, lr=0.003408, batch_cost=0.6475, reader_cost=0.0514 | ETA 04:21:02 2020-12-17 02:15:59 [INFO] [TRAIN] epoch=151, iter=55820/80000, loss=0.2073, lr=0.003407, batch_cost=0.5692, reader_cost=0.0005 | ETA 03:49:23 2020-12-17 02:16:04 [INFO] [TRAIN] epoch=151, iter=55830/80000, loss=0.1620, lr=0.003406, batch_cost=0.5518, reader_cost=0.0001 | ETA 03:42:16 2020-12-17 02:16:10 [INFO] [TRAIN] epoch=151, iter=55840/80000, loss=0.2026, lr=0.003404, batch_cost=0.5524, reader_cost=0.0004 | ETA 03:42:24 2020-12-17 02:16:15 [INFO] [TRAIN] epoch=151, iter=55850/80000, loss=0.1624, lr=0.003403, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:39:00 2020-12-17 02:16:21 [INFO] [TRAIN] epoch=151, iter=55860/80000, loss=0.2230, lr=0.003402, batch_cost=0.5490, reader_cost=0.0002 | ETA 03:40:52 2020-12-17 02:16:26 [INFO] [TRAIN] epoch=151, iter=55870/80000, loss=0.1596, lr=0.003400, batch_cost=0.5477, reader_cost=0.0001 | ETA 03:40:14 2020-12-17 02:16:32 [INFO] [TRAIN] epoch=151, iter=55880/80000, loss=0.2155, lr=0.003399, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:36:43 2020-12-17 02:16:37 [INFO] [TRAIN] epoch=151, iter=55890/80000, loss=0.1414, lr=0.003398, batch_cost=0.5587, reader_cost=0.0001 | ETA 03:44:30 2020-12-17 02:16:43 [INFO] [TRAIN] epoch=151, iter=55900/80000, loss=0.1721, lr=0.003397, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:37:38 2020-12-17 02:16:48 [INFO] [TRAIN] epoch=151, iter=55910/80000, loss=0.1829, lr=0.003395, batch_cost=0.5479, reader_cost=0.0001 | ETA 03:39:59 2020-12-17 02:16:54 [INFO] [TRAIN] epoch=151, iter=55920/80000, loss=0.1750, lr=0.003394, batch_cost=0.5475, reader_cost=0.0001 | ETA 03:39:44 2020-12-17 02:16:59 [INFO] [TRAIN] epoch=151, iter=55930/80000, loss=0.2066, lr=0.003393, batch_cost=0.5337, reader_cost=0.0001 | ETA 03:34:05 2020-12-17 02:17:04 [INFO] [TRAIN] epoch=151, iter=55940/80000, loss=0.1503, lr=0.003392, batch_cost=0.5436, reader_cost=0.0001 | ETA 03:37:57 2020-12-17 02:17:10 [INFO] [TRAIN] epoch=151, iter=55950/80000, loss=0.1644, lr=0.003390, batch_cost=0.5497, reader_cost=0.0001 | ETA 03:40:19 2020-12-17 02:17:15 [INFO] [TRAIN] epoch=151, iter=55960/80000, loss=0.1660, lr=0.003389, batch_cost=0.5391, reader_cost=0.0003 | ETA 03:36:00 2020-12-17 02:17:21 [INFO] [TRAIN] epoch=151, iter=55970/80000, loss=0.2780, lr=0.003388, batch_cost=0.5480, reader_cost=0.0001 | ETA 03:39:28 2020-12-17 02:17:26 [INFO] [TRAIN] epoch=151, iter=55980/80000, loss=0.1823, lr=0.003386, batch_cost=0.5471, reader_cost=0.0001 | ETA 03:39:00 2020-12-17 02:17:32 [INFO] [TRAIN] epoch=151, iter=55990/80000, loss=0.1735, lr=0.003385, batch_cost=0.5255, reader_cost=0.0001 | ETA 03:30:16 2020-12-17 02:17:37 [INFO] [TRAIN] epoch=151, iter=56000/80000, loss=0.1378, lr=0.003384, batch_cost=0.5509, reader_cost=0.0001 | ETA 03:40:22 aug_eval False scales 1.0 2020-12-17 02:17:37 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:18:13 [INFO] [EVAL] #Images=500 mIoU=0.7712 Acc=0.9591 Kappa=0.9469 2020-12-17 02:18:13 [INFO] [EVAL] Class IoU: [0.9817 0.8533 0.9176 0.5104 0.5553 0.5965 0.6989 0.7814 0.9226 0.6517 0.9469 0.8102 0.6222 0.9494 0.8426 0.8623 0.7363 0.6428 0.7702] 2020-12-17 02:18:13 [INFO] [EVAL] Class Acc: [0.9918 0.9195 0.9458 0.8512 0.872 0.7764 0.8386 0.8963 0.9531 0.8619 0.9694 0.8846 0.7707 0.9721 0.9359 0.9181 0.9583 0.8357 0.8536] 2020-12-17 02:18:17 [INFO] [EVAL] The model with the best validation mIoU (0.7813) was saved at iter 55000. 2020-12-17 02:18:22 [INFO] [TRAIN] epoch=151, iter=56010/80000, loss=0.1729, lr=0.003383, batch_cost=0.5305, reader_cost=0.0003 | ETA 03:32:07 2020-12-17 02:18:27 [INFO] [TRAIN] epoch=151, iter=56020/80000, loss=0.1809, lr=0.003381, batch_cost=0.5253, reader_cost=0.0001 | ETA 03:29:55 2020-12-17 02:18:33 [INFO] [TRAIN] epoch=151, iter=56030/80000, loss=0.2081, lr=0.003380, batch_cost=0.5330, reader_cost=0.0001 | ETA 03:32:55 2020-12-17 02:18:38 [INFO] [TRAIN] epoch=151, iter=56040/80000, loss=0.1742, lr=0.003379, batch_cost=0.5520, reader_cost=0.0001 | ETA 03:40:25 2020-12-17 02:18:44 [INFO] [TRAIN] epoch=151, iter=56050/80000, loss=0.1847, lr=0.003378, batch_cost=0.5492, reader_cost=0.0001 | ETA 03:39:13 2020-12-17 02:18:49 [INFO] [TRAIN] epoch=151, iter=56060/80000, loss=0.1414, lr=0.003376, batch_cost=0.5365, reader_cost=0.0001 | ETA 03:34:02 2020-12-17 02:18:54 [INFO] [TRAIN] epoch=151, iter=56070/80000, loss=0.1780, lr=0.003375, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:33:55 2020-12-17 02:19:00 [INFO] [TRAIN] epoch=151, iter=56080/80000, loss=0.2123, lr=0.003374, batch_cost=0.5443, reader_cost=0.0001 | ETA 03:36:59 2020-12-17 02:19:05 [INFO] [TRAIN] epoch=151, iter=56090/80000, loss=0.2015, lr=0.003373, batch_cost=0.5499, reader_cost=0.0002 | ETA 03:39:08 2020-12-17 02:19:11 [INFO] [TRAIN] epoch=151, iter=56100/80000, loss=0.1938, lr=0.003371, batch_cost=0.5579, reader_cost=0.0001 | ETA 03:42:14 2020-12-17 02:19:16 [INFO] [TRAIN] epoch=151, iter=56110/80000, loss=0.1676, lr=0.003370, batch_cost=0.5421, reader_cost=0.0002 | ETA 03:35:50 2020-12-17 02:19:22 [INFO] [TRAIN] epoch=151, iter=56120/80000, loss=0.1395, lr=0.003369, batch_cost=0.5613, reader_cost=0.0001 | ETA 03:43:24 2020-12-17 02:19:27 [INFO] [TRAIN] epoch=151, iter=56130/80000, loss=0.1532, lr=0.003367, batch_cost=0.5460, reader_cost=0.0002 | ETA 03:37:12 2020-12-17 02:19:33 [INFO] [TRAIN] epoch=151, iter=56140/80000, loss=0.2031, lr=0.003366, batch_cost=0.5502, reader_cost=0.0002 | ETA 03:38:47 2020-12-17 02:19:38 [INFO] [TRAIN] epoch=151, iter=56150/80000, loss=0.1710, lr=0.003365, batch_cost=0.5459, reader_cost=0.0001 | ETA 03:37:00 2020-12-17 02:19:44 [INFO] [TRAIN] epoch=151, iter=56160/80000, loss=0.1687, lr=0.003364, batch_cost=0.5271, reader_cost=0.0001 | ETA 03:29:27 2020-12-17 02:19:49 [INFO] [TRAIN] epoch=151, iter=56170/80000, loss=0.1837, lr=0.003362, batch_cost=0.5300, reader_cost=0.0001 | ETA 03:30:29 2020-12-17 02:19:55 [INFO] [TRAIN] epoch=152, iter=56180/80000, loss=0.1864, lr=0.003361, batch_cost=0.6308, reader_cost=0.0541 | ETA 04:10:26 2020-12-17 02:20:01 [INFO] [TRAIN] epoch=152, iter=56190/80000, loss=0.1644, lr=0.003360, batch_cost=0.5808, reader_cost=0.0001 | ETA 03:50:27 2020-12-17 02:20:07 [INFO] [TRAIN] epoch=152, iter=56200/80000, loss=0.2264, lr=0.003359, batch_cost=0.5585, reader_cost=0.0001 | ETA 03:41:32 2020-12-17 02:20:12 [INFO] [TRAIN] epoch=152, iter=56210/80000, loss=0.1330, lr=0.003357, batch_cost=0.5601, reader_cost=0.0001 | ETA 03:42:04 2020-12-17 02:20:18 [INFO] [TRAIN] epoch=152, iter=56220/80000, loss=0.2397, lr=0.003356, batch_cost=0.5463, reader_cost=0.0001 | ETA 03:36:32 2020-12-17 02:20:23 [INFO] [TRAIN] epoch=152, iter=56230/80000, loss=0.1895, lr=0.003355, batch_cost=0.5473, reader_cost=0.0001 | ETA 03:36:49 2020-12-17 02:20:29 [INFO] [TRAIN] epoch=152, iter=56240/80000, loss=0.1771, lr=0.003353, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:32:29 2020-12-17 02:20:34 [INFO] [TRAIN] epoch=152, iter=56250/80000, loss=0.1704, lr=0.003352, batch_cost=0.5577, reader_cost=0.0002 | ETA 03:40:46 2020-12-17 02:20:39 [INFO] [TRAIN] epoch=152, iter=56260/80000, loss=0.1272, lr=0.003351, batch_cost=0.5342, reader_cost=0.0001 | ETA 03:31:22 2020-12-17 02:20:45 [INFO] [TRAIN] epoch=152, iter=56270/80000, loss=0.1469, lr=0.003350, batch_cost=0.5565, reader_cost=0.0001 | ETA 03:40:05 2020-12-17 02:20:50 [INFO] [TRAIN] epoch=152, iter=56280/80000, loss=0.1822, lr=0.003348, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:33:12 2020-12-17 02:20:56 [INFO] [TRAIN] epoch=152, iter=56290/80000, loss=0.1931, lr=0.003347, batch_cost=0.5505, reader_cost=0.0001 | ETA 03:37:32 2020-12-17 02:21:01 [INFO] [TRAIN] epoch=152, iter=56300/80000, loss=0.1629, lr=0.003346, batch_cost=0.5312, reader_cost=0.0001 | ETA 03:29:49 2020-12-17 02:21:07 [INFO] [TRAIN] epoch=152, iter=56310/80000, loss=0.1337, lr=0.003345, batch_cost=0.5524, reader_cost=0.0001 | ETA 03:38:06 2020-12-17 02:21:12 [INFO] [TRAIN] epoch=152, iter=56320/80000, loss=0.1912, lr=0.003343, batch_cost=0.5512, reader_cost=0.0001 | ETA 03:37:32 2020-12-17 02:21:18 [INFO] [TRAIN] epoch=152, iter=56330/80000, loss=0.1534, lr=0.003342, batch_cost=0.5490, reader_cost=0.0001 | ETA 03:36:35 2020-12-17 02:21:23 [INFO] [TRAIN] epoch=152, iter=56340/80000, loss=0.1538, lr=0.003341, batch_cost=0.5471, reader_cost=0.0001 | ETA 03:35:44 2020-12-17 02:21:29 [INFO] [TRAIN] epoch=152, iter=56350/80000, loss=0.1525, lr=0.003340, batch_cost=0.5451, reader_cost=0.0001 | ETA 03:34:52 2020-12-17 02:21:34 [INFO] [TRAIN] epoch=152, iter=56360/80000, loss=0.1763, lr=0.003338, batch_cost=0.5474, reader_cost=0.0001 | ETA 03:35:40 2020-12-17 02:21:40 [INFO] [TRAIN] epoch=152, iter=56370/80000, loss=0.1274, lr=0.003337, batch_cost=0.5524, reader_cost=0.0002 | ETA 03:37:34 2020-12-17 02:21:45 [INFO] [TRAIN] epoch=152, iter=56380/80000, loss=0.1665, lr=0.003336, batch_cost=0.5317, reader_cost=0.0002 | ETA 03:29:18 2020-12-17 02:21:50 [INFO] [TRAIN] epoch=152, iter=56390/80000, loss=0.1801, lr=0.003334, batch_cost=0.5448, reader_cost=0.0011 | ETA 03:34:22 2020-12-17 02:21:56 [INFO] [TRAIN] epoch=152, iter=56400/80000, loss=0.2122, lr=0.003333, batch_cost=0.5299, reader_cost=0.0001 | ETA 03:28:25 2020-12-17 02:22:01 [INFO] [TRAIN] epoch=152, iter=56410/80000, loss=0.1960, lr=0.003332, batch_cost=0.5402, reader_cost=0.0001 | ETA 03:32:22 2020-12-17 02:22:07 [INFO] [TRAIN] epoch=152, iter=56420/80000, loss=0.1663, lr=0.003331, batch_cost=0.5468, reader_cost=0.0001 | ETA 03:34:52 2020-12-17 02:22:12 [INFO] [TRAIN] epoch=152, iter=56430/80000, loss=0.1557, lr=0.003329, batch_cost=0.5523, reader_cost=0.0001 | ETA 03:36:58 2020-12-17 02:22:18 [INFO] [TRAIN] epoch=152, iter=56440/80000, loss=0.1593, lr=0.003328, batch_cost=0.5462, reader_cost=0.0002 | ETA 03:34:27 2020-12-17 02:22:23 [INFO] [TRAIN] epoch=152, iter=56450/80000, loss=0.1529, lr=0.003327, batch_cost=0.5406, reader_cost=0.0001 | ETA 03:32:11 2020-12-17 02:22:29 [INFO] [TRAIN] epoch=152, iter=56460/80000, loss=0.1705, lr=0.003326, batch_cost=0.5481, reader_cost=0.0001 | ETA 03:35:01 2020-12-17 02:22:34 [INFO] [TRAIN] epoch=152, iter=56470/80000, loss=0.1807, lr=0.003324, batch_cost=0.5350, reader_cost=0.0002 | ETA 03:29:49 2020-12-17 02:22:39 [INFO] [TRAIN] epoch=152, iter=56480/80000, loss=0.1566, lr=0.003323, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:32:39 2020-12-17 02:22:45 [INFO] [TRAIN] epoch=152, iter=56490/80000, loss=0.1474, lr=0.003322, batch_cost=0.5497, reader_cost=0.0001 | ETA 03:35:23 2020-12-17 02:22:50 [INFO] [TRAIN] epoch=152, iter=56500/80000, loss=0.1394, lr=0.003320, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:29:44 2020-12-17 02:22:56 [INFO] [TRAIN] epoch=152, iter=56510/80000, loss=0.1518, lr=0.003319, batch_cost=0.5513, reader_cost=0.0001 | ETA 03:35:50 2020-12-17 02:23:01 [INFO] [TRAIN] epoch=152, iter=56520/80000, loss=0.1823, lr=0.003318, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:31:12 2020-12-17 02:23:07 [INFO] [TRAIN] epoch=152, iter=56530/80000, loss=0.1870, lr=0.003317, batch_cost=0.5480, reader_cost=0.0002 | ETA 03:34:20 2020-12-17 02:23:12 [INFO] [TRAIN] epoch=152, iter=56540/80000, loss=0.1869, lr=0.003315, batch_cost=0.5320, reader_cost=0.0001 | ETA 03:28:00 2020-12-17 02:23:18 [INFO] [TRAIN] epoch=153, iter=56550/80000, loss=0.1312, lr=0.003314, batch_cost=0.5883, reader_cost=0.0548 | ETA 03:49:56 2020-12-17 02:23:23 [INFO] [TRAIN] epoch=153, iter=56560/80000, loss=0.1984, lr=0.003313, batch_cost=0.5738, reader_cost=0.0003 | ETA 03:44:09 2020-12-17 02:23:29 [INFO] [TRAIN] epoch=153, iter=56570/80000, loss=0.1719, lr=0.003312, batch_cost=0.5499, reader_cost=0.0001 | ETA 03:34:44 2020-12-17 02:23:35 [INFO] [TRAIN] epoch=153, iter=56580/80000, loss=0.1562, lr=0.003310, batch_cost=0.5624, reader_cost=0.0001 | ETA 03:39:30 2020-12-17 02:23:40 [INFO] [TRAIN] epoch=153, iter=56590/80000, loss=0.1740, lr=0.003309, batch_cost=0.5454, reader_cost=0.0002 | ETA 03:32:48 2020-12-17 02:23:45 [INFO] [TRAIN] epoch=153, iter=56600/80000, loss=0.1927, lr=0.003308, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:30:01 2020-12-17 02:23:51 [INFO] [TRAIN] epoch=153, iter=56610/80000, loss=0.1788, lr=0.003306, batch_cost=0.5622, reader_cost=0.0001 | ETA 03:39:09 2020-12-17 02:23:56 [INFO] [TRAIN] epoch=153, iter=56620/80000, loss=0.1759, lr=0.003305, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:29:05 2020-12-17 02:24:02 [INFO] [TRAIN] epoch=153, iter=56630/80000, loss=0.1701, lr=0.003304, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:31:01 2020-12-17 02:24:07 [INFO] [TRAIN] epoch=153, iter=56640/80000, loss=0.1801, lr=0.003303, batch_cost=0.5436, reader_cost=0.0001 | ETA 03:31:39 2020-12-17 02:24:13 [INFO] [TRAIN] epoch=153, iter=56650/80000, loss=0.1654, lr=0.003301, batch_cost=0.5617, reader_cost=0.0002 | ETA 03:38:35 2020-12-17 02:24:18 [INFO] [TRAIN] epoch=153, iter=56660/80000, loss=0.1755, lr=0.003300, batch_cost=0.5589, reader_cost=0.0001 | ETA 03:37:24 2020-12-17 02:24:24 [INFO] [TRAIN] epoch=153, iter=56670/80000, loss=0.1195, lr=0.003299, batch_cost=0.5470, reader_cost=0.0001 | ETA 03:32:42 2020-12-17 02:24:30 [INFO] [TRAIN] epoch=153, iter=56680/80000, loss=0.1429, lr=0.003298, batch_cost=0.5565, reader_cost=0.0001 | ETA 03:36:17 2020-12-17 02:24:35 [INFO] [TRAIN] epoch=153, iter=56690/80000, loss=0.2116, lr=0.003296, batch_cost=0.5246, reader_cost=0.0001 | ETA 03:23:49 2020-12-17 02:24:40 [INFO] [TRAIN] epoch=153, iter=56700/80000, loss=0.1764, lr=0.003295, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:30:18 2020-12-17 02:24:46 [INFO] [TRAIN] epoch=153, iter=56710/80000, loss=0.1487, lr=0.003294, batch_cost=0.5650, reader_cost=0.0001 | ETA 03:39:18 2020-12-17 02:24:51 [INFO] [TRAIN] epoch=153, iter=56720/80000, loss=0.3592, lr=0.003292, batch_cost=0.5406, reader_cost=0.0002 | ETA 03:29:45 2020-12-17 02:24:57 [INFO] [TRAIN] epoch=153, iter=56730/80000, loss=0.1559, lr=0.003291, batch_cost=0.5490, reader_cost=0.0001 | ETA 03:32:55 2020-12-17 02:25:02 [INFO] [TRAIN] epoch=153, iter=56740/80000, loss=0.1684, lr=0.003290, batch_cost=0.5505, reader_cost=0.0001 | ETA 03:33:24 2020-12-17 02:25:08 [INFO] [TRAIN] epoch=153, iter=56750/80000, loss=0.2116, lr=0.003289, batch_cost=0.5483, reader_cost=0.0002 | ETA 03:32:29 2020-12-17 02:25:13 [INFO] [TRAIN] epoch=153, iter=56760/80000, loss=0.1635, lr=0.003287, batch_cost=0.5542, reader_cost=0.0001 | ETA 03:34:39 2020-12-17 02:25:19 [INFO] [TRAIN] epoch=153, iter=56770/80000, loss=0.1909, lr=0.003286, batch_cost=0.5566, reader_cost=0.0001 | ETA 03:35:28 2020-12-17 02:25:24 [INFO] [TRAIN] epoch=153, iter=56780/80000, loss=0.1573, lr=0.003285, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:29:33 2020-12-17 02:25:30 [INFO] [TRAIN] epoch=153, iter=56790/80000, loss=0.1520, lr=0.003284, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:27:35 2020-12-17 02:25:35 [INFO] [TRAIN] epoch=153, iter=56800/80000, loss=0.1312, lr=0.003282, batch_cost=0.5440, reader_cost=0.0001 | ETA 03:30:20 2020-12-17 02:25:41 [INFO] [TRAIN] epoch=153, iter=56810/80000, loss=0.1596, lr=0.003281, batch_cost=0.5472, reader_cost=0.0001 | ETA 03:31:28 2020-12-17 02:25:46 [INFO] [TRAIN] epoch=153, iter=56820/80000, loss=0.1466, lr=0.003280, batch_cost=0.5562, reader_cost=0.0001 | ETA 03:34:53 2020-12-17 02:25:52 [INFO] [TRAIN] epoch=153, iter=56830/80000, loss=0.1670, lr=0.003278, batch_cost=0.5499, reader_cost=0.0001 | ETA 03:32:20 2020-12-17 02:25:57 [INFO] [TRAIN] epoch=153, iter=56840/80000, loss=0.1495, lr=0.003277, batch_cost=0.5353, reader_cost=0.0002 | ETA 03:26:36 2020-12-17 02:26:02 [INFO] [TRAIN] epoch=153, iter=56850/80000, loss=0.1528, lr=0.003276, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:29:36 2020-12-17 02:26:08 [INFO] [TRAIN] epoch=153, iter=56860/80000, loss=0.1884, lr=0.003275, batch_cost=0.5287, reader_cost=0.0002 | ETA 03:23:55 2020-12-17 02:26:13 [INFO] [TRAIN] epoch=153, iter=56870/80000, loss=0.1362, lr=0.003273, batch_cost=0.5523, reader_cost=0.0001 | ETA 03:32:54 2020-12-17 02:26:19 [INFO] [TRAIN] epoch=153, iter=56880/80000, loss=0.1965, lr=0.003272, batch_cost=0.5462, reader_cost=0.0001 | ETA 03:30:29 2020-12-17 02:26:24 [INFO] [TRAIN] epoch=153, iter=56890/80000, loss=0.2360, lr=0.003271, batch_cost=0.5575, reader_cost=0.0001 | ETA 03:34:42 2020-12-17 02:26:30 [INFO] [TRAIN] epoch=153, iter=56900/80000, loss=0.1610, lr=0.003270, batch_cost=0.5330, reader_cost=0.0001 | ETA 03:25:12 2020-12-17 02:26:35 [INFO] [TRAIN] epoch=153, iter=56910/80000, loss=0.2469, lr=0.003268, batch_cost=0.5428, reader_cost=0.0001 | ETA 03:28:52 2020-12-17 02:26:41 [INFO] [TRAIN] epoch=154, iter=56920/80000, loss=0.1357, lr=0.003267, batch_cost=0.6119, reader_cost=0.0574 | ETA 03:55:21 2020-12-17 02:26:47 [INFO] [TRAIN] epoch=154, iter=56930/80000, loss=0.1625, lr=0.003266, batch_cost=0.5544, reader_cost=0.0001 | ETA 03:33:09 2020-12-17 02:26:52 [INFO] [TRAIN] epoch=154, iter=56940/80000, loss=0.1870, lr=0.003264, batch_cost=0.5615, reader_cost=0.0002 | ETA 03:35:47 2020-12-17 02:26:58 [INFO] [TRAIN] epoch=154, iter=56950/80000, loss=0.1977, lr=0.003263, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:26:09 2020-12-17 02:27:03 [INFO] [TRAIN] epoch=154, iter=56960/80000, loss=0.1728, lr=0.003262, batch_cost=0.5454, reader_cost=0.0001 | ETA 03:29:25 2020-12-17 02:27:09 [INFO] [TRAIN] epoch=154, iter=56970/80000, loss=0.1730, lr=0.003261, batch_cost=0.5430, reader_cost=0.0001 | ETA 03:28:25 2020-12-17 02:27:14 [INFO] [TRAIN] epoch=154, iter=56980/80000, loss=0.2189, lr=0.003259, batch_cost=0.5447, reader_cost=0.0001 | ETA 03:28:58 2020-12-17 02:27:19 [INFO] [TRAIN] epoch=154, iter=56990/80000, loss=0.1628, lr=0.003258, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:28:56 2020-12-17 02:27:25 [INFO] [TRAIN] epoch=154, iter=57000/80000, loss=0.1651, lr=0.003257, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:27:28 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:27:25 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 02:27:59 [INFO] [EVAL] #Images=500 mIoU=0.7815 Acc=0.9598 Kappa=0.9478 2020-12-17 02:27:59 [INFO] [EVAL] Class IoU: [0.9817 0.8449 0.9228 0.5912 0.606 0.5869 0.698 0.7812 0.9222 0.621 0.9474 0.8123 0.6289 0.9491 0.85 0.8846 0.8381 0.6144 0.767 ] 2020-12-17 02:27:59 [INFO] [EVAL] Class Acc: [0.9903 0.913 0.9553 0.8545 0.7933 0.7944 0.8391 0.8975 0.9511 0.895 0.9705 0.8787 0.7882 0.9715 0.9425 0.9561 0.9262 0.8673 0.8407] 2020-12-17 02:28:06 [INFO] [EVAL] The model with the best validation mIoU (0.7815) was saved at iter 57000. 2020-12-17 02:28:11 [INFO] [TRAIN] epoch=154, iter=57010/80000, loss=0.2548, lr=0.003256, batch_cost=0.5359, reader_cost=0.0001 | ETA 03:25:20 2020-12-17 02:28:16 [INFO] [TRAIN] epoch=154, iter=57020/80000, loss=0.1576, lr=0.003254, batch_cost=0.5366, reader_cost=0.0002 | ETA 03:25:31 2020-12-17 02:28:22 [INFO] [TRAIN] epoch=154, iter=57030/80000, loss=0.1313, lr=0.003253, batch_cost=0.5511, reader_cost=0.0002 | ETA 03:30:58 2020-12-17 02:28:27 [INFO] [TRAIN] epoch=154, iter=57040/80000, loss=0.1878, lr=0.003252, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:28:29 2020-12-17 02:28:33 [INFO] [TRAIN] epoch=154, iter=57050/80000, loss=0.0986, lr=0.003250, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:26:31 2020-12-17 02:28:38 [INFO] [TRAIN] epoch=154, iter=57060/80000, loss=0.1595, lr=0.003249, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:26:25 2020-12-17 02:28:44 [INFO] [TRAIN] epoch=154, iter=57070/80000, loss=0.1795, lr=0.003248, batch_cost=0.5569, reader_cost=0.0001 | ETA 03:32:48 2020-12-17 02:28:49 [INFO] [TRAIN] epoch=154, iter=57080/80000, loss=0.1595, lr=0.003247, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:27:49 2020-12-17 02:28:55 [INFO] [TRAIN] epoch=154, iter=57090/80000, loss=0.1845, lr=0.003245, batch_cost=0.5590, reader_cost=0.0001 | ETA 03:33:27 2020-12-17 02:29:00 [INFO] [TRAIN] epoch=154, iter=57100/80000, loss=0.1671, lr=0.003244, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:26:14 2020-12-17 02:29:05 [INFO] [TRAIN] epoch=154, iter=57110/80000, loss=0.1605, lr=0.003243, batch_cost=0.5270, reader_cost=0.0001 | ETA 03:21:03 2020-12-17 02:29:11 [INFO] [TRAIN] epoch=154, iter=57120/80000, loss=0.1950, lr=0.003242, batch_cost=0.5556, reader_cost=0.0002 | ETA 03:31:51 2020-12-17 02:29:16 [INFO] [TRAIN] epoch=154, iter=57130/80000, loss=0.1849, lr=0.003240, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:26:38 2020-12-17 02:29:22 [INFO] [TRAIN] epoch=154, iter=57140/80000, loss=0.1623, lr=0.003239, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:25:46 2020-12-17 02:29:27 [INFO] [TRAIN] epoch=154, iter=57150/80000, loss=0.1796, lr=0.003238, batch_cost=0.5623, reader_cost=0.0001 | ETA 03:34:09 2020-12-17 02:29:33 [INFO] [TRAIN] epoch=154, iter=57160/80000, loss=0.1623, lr=0.003236, batch_cost=0.5324, reader_cost=0.0001 | ETA 03:22:40 2020-12-17 02:29:38 [INFO] [TRAIN] epoch=154, iter=57170/80000, loss=0.1604, lr=0.003235, batch_cost=0.5459, reader_cost=0.0001 | ETA 03:27:43 2020-12-17 02:29:44 [INFO] [TRAIN] epoch=154, iter=57180/80000, loss=0.1506, lr=0.003234, batch_cost=0.5551, reader_cost=0.0001 | ETA 03:31:07 2020-12-17 02:29:49 [INFO] [TRAIN] epoch=154, iter=57190/80000, loss=0.1875, lr=0.003233, batch_cost=0.5329, reader_cost=0.0001 | ETA 03:22:36 2020-12-17 02:29:54 [INFO] [TRAIN] epoch=154, iter=57200/80000, loss=0.1949, lr=0.003231, batch_cost=0.5446, reader_cost=0.0001 | ETA 03:26:58 2020-12-17 02:30:00 [INFO] [TRAIN] epoch=154, iter=57210/80000, loss=0.1657, lr=0.003230, batch_cost=0.5502, reader_cost=0.0003 | ETA 03:29:00 2020-12-17 02:30:05 [INFO] [TRAIN] epoch=154, iter=57220/80000, loss=0.1579, lr=0.003229, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:24:32 2020-12-17 02:30:11 [INFO] [TRAIN] epoch=154, iter=57230/80000, loss=0.1424, lr=0.003227, batch_cost=0.5261, reader_cost=0.0002 | ETA 03:19:38 2020-12-17 02:30:16 [INFO] [TRAIN] epoch=154, iter=57240/80000, loss=0.1581, lr=0.003226, batch_cost=0.5509, reader_cost=0.0001 | ETA 03:28:58 2020-12-17 02:30:21 [INFO] [TRAIN] epoch=154, iter=57250/80000, loss=0.1787, lr=0.003225, batch_cost=0.5359, reader_cost=0.0002 | ETA 03:23:11 2020-12-17 02:30:27 [INFO] [TRAIN] epoch=154, iter=57260/80000, loss=0.1612, lr=0.003224, batch_cost=0.5321, reader_cost=0.0002 | ETA 03:21:39 2020-12-17 02:30:32 [INFO] [TRAIN] epoch=154, iter=57270/80000, loss=0.2213, lr=0.003222, batch_cost=0.5470, reader_cost=0.0001 | ETA 03:27:13 2020-12-17 02:30:38 [INFO] [TRAIN] epoch=154, iter=57280/80000, loss=0.1965, lr=0.003221, batch_cost=0.5533, reader_cost=0.0003 | ETA 03:29:30 2020-12-17 02:30:44 [INFO] [TRAIN] epoch=155, iter=57290/80000, loss=0.2031, lr=0.003220, batch_cost=0.5908, reader_cost=0.0650 | ETA 03:43:36 2020-12-17 02:30:49 [INFO] [TRAIN] epoch=155, iter=57300/80000, loss=0.1761, lr=0.003219, batch_cost=0.5713, reader_cost=0.0001 | ETA 03:36:08 2020-12-17 02:30:55 [INFO] [TRAIN] epoch=155, iter=57310/80000, loss=0.1607, lr=0.003217, batch_cost=0.5611, reader_cost=0.0017 | ETA 03:32:11 2020-12-17 02:31:01 [INFO] [TRAIN] epoch=155, iter=57320/80000, loss=0.1563, lr=0.003216, batch_cost=0.5832, reader_cost=0.0001 | ETA 03:40:27 2020-12-17 02:31:06 [INFO] [TRAIN] epoch=155, iter=57330/80000, loss=0.1778, lr=0.003215, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:23:18 2020-12-17 02:31:12 [INFO] [TRAIN] epoch=155, iter=57340/80000, loss=0.1993, lr=0.003213, batch_cost=0.5349, reader_cost=0.0002 | ETA 03:22:01 2020-12-17 02:31:17 [INFO] [TRAIN] epoch=155, iter=57350/80000, loss=0.2280, lr=0.003212, batch_cost=0.5575, reader_cost=0.0001 | ETA 03:30:28 2020-12-17 02:31:23 [INFO] [TRAIN] epoch=155, iter=57360/80000, loss=0.1872, lr=0.003211, batch_cost=0.5532, reader_cost=0.0001 | ETA 03:28:45 2020-12-17 02:31:28 [INFO] [TRAIN] epoch=155, iter=57370/80000, loss=0.1606, lr=0.003210, batch_cost=0.5332, reader_cost=0.0001 | ETA 03:21:07 2020-12-17 02:31:33 [INFO] [TRAIN] epoch=155, iter=57380/80000, loss=0.2108, lr=0.003208, batch_cost=0.5357, reader_cost=0.0001 | ETA 03:21:56 2020-12-17 02:31:39 [INFO] [TRAIN] epoch=155, iter=57390/80000, loss=0.1726, lr=0.003207, batch_cost=0.5522, reader_cost=0.0001 | ETA 03:28:04 2020-12-17 02:31:44 [INFO] [TRAIN] epoch=155, iter=57400/80000, loss=0.1677, lr=0.003206, batch_cost=0.5533, reader_cost=0.0014 | ETA 03:28:25 2020-12-17 02:31:50 [INFO] [TRAIN] epoch=155, iter=57410/80000, loss=0.1623, lr=0.003205, batch_cost=0.5455, reader_cost=0.0009 | ETA 03:25:22 2020-12-17 02:31:55 [INFO] [TRAIN] epoch=155, iter=57420/80000, loss=0.1798, lr=0.003203, batch_cost=0.5552, reader_cost=0.0001 | ETA 03:28:56 2020-12-17 02:32:01 [INFO] [TRAIN] epoch=155, iter=57430/80000, loss=0.1796, lr=0.003202, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:21:57 2020-12-17 02:32:06 [INFO] [TRAIN] epoch=155, iter=57440/80000, loss=0.1785, lr=0.003201, batch_cost=0.5466, reader_cost=0.0001 | ETA 03:25:32 2020-12-17 02:32:12 [INFO] [TRAIN] epoch=155, iter=57450/80000, loss=0.1552, lr=0.003199, batch_cost=0.5428, reader_cost=0.0001 | ETA 03:23:59 2020-12-17 02:32:17 [INFO] [TRAIN] epoch=155, iter=57460/80000, loss=0.1863, lr=0.003198, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:21:43 2020-12-17 02:32:22 [INFO] [TRAIN] epoch=155, iter=57470/80000, loss=0.1461, lr=0.003197, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:23:18 2020-12-17 02:32:28 [INFO] [TRAIN] epoch=155, iter=57480/80000, loss=0.1497, lr=0.003196, batch_cost=0.5422, reader_cost=0.0002 | ETA 03:23:30 2020-12-17 02:32:33 [INFO] [TRAIN] epoch=155, iter=57490/80000, loss=0.1270, lr=0.003194, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:21:51 2020-12-17 02:32:39 [INFO] [TRAIN] epoch=155, iter=57500/80000, loss=0.2365, lr=0.003193, batch_cost=0.5508, reader_cost=0.0001 | ETA 03:26:32 2020-12-17 02:32:44 [INFO] [TRAIN] epoch=155, iter=57510/80000, loss=0.1856, lr=0.003192, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:22:45 2020-12-17 02:32:50 [INFO] [TRAIN] epoch=155, iter=57520/80000, loss=0.1632, lr=0.003190, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:23:10 2020-12-17 02:32:55 [INFO] [TRAIN] epoch=155, iter=57530/80000, loss=0.1612, lr=0.003189, batch_cost=0.5403, reader_cost=0.0005 | ETA 03:22:21 2020-12-17 02:33:01 [INFO] [TRAIN] epoch=155, iter=57540/80000, loss=0.2022, lr=0.003188, batch_cost=0.5524, reader_cost=0.0001 | ETA 03:26:46 2020-12-17 02:33:06 [INFO] [TRAIN] epoch=155, iter=57550/80000, loss=0.1149, lr=0.003187, batch_cost=0.5340, reader_cost=0.0001 | ETA 03:19:48 2020-12-17 02:33:11 [INFO] [TRAIN] epoch=155, iter=57560/80000, loss=0.2092, lr=0.003185, batch_cost=0.5501, reader_cost=0.0001 | ETA 03:25:44 2020-12-17 02:33:17 [INFO] [TRAIN] epoch=155, iter=57570/80000, loss=0.1457, lr=0.003184, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:20:37 2020-12-17 02:33:22 [INFO] [TRAIN] epoch=155, iter=57580/80000, loss=0.1595, lr=0.003183, batch_cost=0.5446, reader_cost=0.0008 | ETA 03:23:29 2020-12-17 02:33:27 [INFO] [TRAIN] epoch=155, iter=57590/80000, loss=0.2114, lr=0.003182, batch_cost=0.5220, reader_cost=0.0001 | ETA 03:14:58 2020-12-17 02:33:33 [INFO] [TRAIN] epoch=155, iter=57600/80000, loss=0.1913, lr=0.003180, batch_cost=0.5550, reader_cost=0.0003 | ETA 03:27:11 2020-12-17 02:33:38 [INFO] [TRAIN] epoch=155, iter=57610/80000, loss=0.1229, lr=0.003179, batch_cost=0.5451, reader_cost=0.0001 | ETA 03:23:24 2020-12-17 02:33:44 [INFO] [TRAIN] epoch=155, iter=57620/80000, loss=0.1697, lr=0.003178, batch_cost=0.5520, reader_cost=0.0002 | ETA 03:25:54 2020-12-17 02:33:49 [INFO] [TRAIN] epoch=155, iter=57630/80000, loss=0.1844, lr=0.003176, batch_cost=0.5373, reader_cost=0.0002 | ETA 03:20:19 2020-12-17 02:33:55 [INFO] [TRAIN] epoch=155, iter=57640/80000, loss=0.1688, lr=0.003175, batch_cost=0.5508, reader_cost=0.0001 | ETA 03:25:15 2020-12-17 02:34:00 [INFO] [TRAIN] epoch=155, iter=57650/80000, loss=0.1727, lr=0.003174, batch_cost=0.5417, reader_cost=0.0001 | ETA 03:21:46 2020-12-17 02:34:05 [INFO] [TRAIN] epoch=155, iter=57660/80000, loss=0.1601, lr=0.003173, batch_cost=0.5142, reader_cost=0.0001 | ETA 03:11:26 2020-12-17 02:34:12 [INFO] [TRAIN] epoch=156, iter=57670/80000, loss=0.1845, lr=0.003171, batch_cost=0.6188, reader_cost=0.0612 | ETA 03:50:17 2020-12-17 02:34:17 [INFO] [TRAIN] epoch=156, iter=57680/80000, loss=0.1991, lr=0.003170, batch_cost=0.5765, reader_cost=0.0001 | ETA 03:34:28 2020-12-17 02:34:23 [INFO] [TRAIN] epoch=156, iter=57690/80000, loss=0.1876, lr=0.003169, batch_cost=0.5538, reader_cost=0.0001 | ETA 03:25:55 2020-12-17 02:34:28 [INFO] [TRAIN] epoch=156, iter=57700/80000, loss=0.2095, lr=0.003167, batch_cost=0.5584, reader_cost=0.0001 | ETA 03:27:32 2020-12-17 02:34:34 [INFO] [TRAIN] epoch=156, iter=57710/80000, loss=0.1510, lr=0.003166, batch_cost=0.5523, reader_cost=0.0003 | ETA 03:25:09 2020-12-17 02:34:39 [INFO] [TRAIN] epoch=156, iter=57720/80000, loss=0.1172, lr=0.003165, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:19:53 2020-12-17 02:34:45 [INFO] [TRAIN] epoch=156, iter=57730/80000, loss=0.1283, lr=0.003164, batch_cost=0.5458, reader_cost=0.0001 | ETA 03:22:34 2020-12-17 02:34:50 [INFO] [TRAIN] epoch=156, iter=57740/80000, loss=0.1702, lr=0.003162, batch_cost=0.5520, reader_cost=0.0001 | ETA 03:24:46 2020-12-17 02:34:56 [INFO] [TRAIN] epoch=156, iter=57750/80000, loss=0.2062, lr=0.003161, batch_cost=0.5439, reader_cost=0.0001 | ETA 03:21:41 2020-12-17 02:35:01 [INFO] [TRAIN] epoch=156, iter=57760/80000, loss=0.1835, lr=0.003160, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:19:11 2020-12-17 02:35:07 [INFO] [TRAIN] epoch=156, iter=57770/80000, loss=0.1549, lr=0.003159, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:18:57 2020-12-17 02:35:12 [INFO] [TRAIN] epoch=156, iter=57780/80000, loss=0.1566, lr=0.003157, batch_cost=0.5433, reader_cost=0.0002 | ETA 03:21:12 2020-12-17 02:35:17 [INFO] [TRAIN] epoch=156, iter=57790/80000, loss=0.1547, lr=0.003156, batch_cost=0.5467, reader_cost=0.0001 | ETA 03:22:22 2020-12-17 02:35:23 [INFO] [TRAIN] epoch=156, iter=57800/80000, loss=0.1812, lr=0.003155, batch_cost=0.5517, reader_cost=0.0001 | ETA 03:24:07 2020-12-17 02:35:28 [INFO] [TRAIN] epoch=156, iter=57810/80000, loss=0.1686, lr=0.003153, batch_cost=0.5254, reader_cost=0.0001 | ETA 03:14:19 2020-12-17 02:35:34 [INFO] [TRAIN] epoch=156, iter=57820/80000, loss=0.1653, lr=0.003152, batch_cost=0.5535, reader_cost=0.0002 | ETA 03:24:36 2020-12-17 02:35:39 [INFO] [TRAIN] epoch=156, iter=57830/80000, loss=0.2398, lr=0.003151, batch_cost=0.5271, reader_cost=0.0001 | ETA 03:14:46 2020-12-17 02:35:45 [INFO] [TRAIN] epoch=156, iter=57840/80000, loss=0.1662, lr=0.003150, batch_cost=0.5511, reader_cost=0.0001 | ETA 03:23:33 2020-12-17 02:35:50 [INFO] [TRAIN] epoch=156, iter=57850/80000, loss=0.1547, lr=0.003148, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:18:38 2020-12-17 02:35:55 [INFO] [TRAIN] epoch=156, iter=57860/80000, loss=0.2858, lr=0.003147, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:18:16 2020-12-17 02:36:01 [INFO] [TRAIN] epoch=156, iter=57870/80000, loss=0.1675, lr=0.003146, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:17:31 2020-12-17 02:36:06 [INFO] [TRAIN] epoch=156, iter=57880/80000, loss=0.1621, lr=0.003144, batch_cost=0.5316, reader_cost=0.0001 | ETA 03:15:59 2020-12-17 02:36:11 [INFO] [TRAIN] epoch=156, iter=57890/80000, loss=0.1758, lr=0.003143, batch_cost=0.5494, reader_cost=0.0001 | ETA 03:22:26 2020-12-17 02:36:17 [INFO] [TRAIN] epoch=156, iter=57900/80000, loss=0.1910, lr=0.003142, batch_cost=0.5485, reader_cost=0.0003 | ETA 03:22:00 2020-12-17 02:36:22 [INFO] [TRAIN] epoch=156, iter=57910/80000, loss=0.1784, lr=0.003141, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:18:01 2020-12-17 02:36:28 [INFO] [TRAIN] epoch=156, iter=57920/80000, loss=0.1754, lr=0.003139, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:18:14 2020-12-17 02:36:33 [INFO] [TRAIN] epoch=156, iter=57930/80000, loss=0.1775, lr=0.003138, batch_cost=0.5361, reader_cost=0.0002 | ETA 03:17:11 2020-12-17 02:36:39 [INFO] [TRAIN] epoch=156, iter=57940/80000, loss=0.1475, lr=0.003137, batch_cost=0.5471, reader_cost=0.0001 | ETA 03:21:08 2020-12-17 02:36:44 [INFO] [TRAIN] epoch=156, iter=57950/80000, loss=0.1363, lr=0.003135, batch_cost=0.5450, reader_cost=0.0001 | ETA 03:20:16 2020-12-17 02:36:50 [INFO] [TRAIN] epoch=156, iter=57960/80000, loss=0.1709, lr=0.003134, batch_cost=0.5532, reader_cost=0.0001 | ETA 03:23:13 2020-12-17 02:36:55 [INFO] [TRAIN] epoch=156, iter=57970/80000, loss=0.1188, lr=0.003133, batch_cost=0.5380, reader_cost=0.0002 | ETA 03:17:32 2020-12-17 02:37:00 [INFO] [TRAIN] epoch=156, iter=57980/80000, loss=0.1569, lr=0.003132, batch_cost=0.5571, reader_cost=0.0001 | ETA 03:24:27 2020-12-17 02:37:06 [INFO] [TRAIN] epoch=156, iter=57990/80000, loss=0.1196, lr=0.003130, batch_cost=0.5530, reader_cost=0.0001 | ETA 03:22:51 2020-12-17 02:37:11 [INFO] [TRAIN] epoch=156, iter=58000/80000, loss=0.2195, lr=0.003129, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:17:22 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:37:11 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 02:37:47 [INFO] [EVAL] #Images=500 mIoU=0.7828 Acc=0.9598 Kappa=0.9478 2020-12-17 02:37:47 [INFO] [EVAL] Class IoU: [0.9817 0.8464 0.9225 0.5572 0.6056 0.597 0.7016 0.7792 0.9223 0.6383 0.9464 0.8101 0.6165 0.9502 0.8446 0.8979 0.8397 0.6463 0.77 ] 2020-12-17 02:37:47 [INFO] [EVAL] Class Acc: [0.9914 0.9127 0.9533 0.856 0.8152 0.7756 0.8256 0.8961 0.9545 0.8453 0.9676 0.8703 0.7906 0.973 0.9433 0.9516 0.9391 0.8424 0.8601] 2020-12-17 02:37:53 [INFO] [EVAL] The model with the best validation mIoU (0.7828) was saved at iter 58000. 2020-12-17 02:37:58 [INFO] [TRAIN] epoch=156, iter=58010/80000, loss=0.2112, lr=0.003128, batch_cost=0.5326, reader_cost=0.0001 | ETA 03:15:11 2020-12-17 02:38:04 [INFO] [TRAIN] epoch=156, iter=58020/80000, loss=0.1553, lr=0.003127, batch_cost=0.5426, reader_cost=0.0001 | ETA 03:18:46 2020-12-17 02:38:09 [INFO] [TRAIN] epoch=156, iter=58030/80000, loss=0.1458, lr=0.003125, batch_cost=0.5263, reader_cost=0.0001 | ETA 03:12:42 2020-12-17 02:38:15 [INFO] [TRAIN] epoch=157, iter=58040/80000, loss=0.1719, lr=0.003124, batch_cost=0.5921, reader_cost=0.0682 | ETA 03:36:42 2020-12-17 02:38:20 [INFO] [TRAIN] epoch=157, iter=58050/80000, loss=0.1658, lr=0.003123, batch_cost=0.5548, reader_cost=0.0001 | ETA 03:22:58 2020-12-17 02:38:26 [INFO] [TRAIN] epoch=157, iter=58060/80000, loss=0.1755, lr=0.003121, batch_cost=0.5782, reader_cost=0.0003 | ETA 03:31:24 2020-12-17 02:38:32 [INFO] [TRAIN] epoch=157, iter=58070/80000, loss=0.2182, lr=0.003120, batch_cost=0.5524, reader_cost=0.0013 | ETA 03:21:53 2020-12-17 02:38:37 [INFO] [TRAIN] epoch=157, iter=58080/80000, loss=0.1840, lr=0.003119, batch_cost=0.5540, reader_cost=0.0001 | ETA 03:22:24 2020-12-17 02:38:43 [INFO] [TRAIN] epoch=157, iter=58090/80000, loss=0.1440, lr=0.003118, batch_cost=0.5559, reader_cost=0.0001 | ETA 03:23:00 2020-12-17 02:38:48 [INFO] [TRAIN] epoch=157, iter=58100/80000, loss=0.2048, lr=0.003116, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:15:45 2020-12-17 02:38:54 [INFO] [TRAIN] epoch=157, iter=58110/80000, loss=0.1532, lr=0.003115, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:15:14 2020-12-17 02:38:59 [INFO] [TRAIN] epoch=157, iter=58120/80000, loss=0.1460, lr=0.003114, batch_cost=0.5492, reader_cost=0.0002 | ETA 03:20:16 2020-12-17 02:39:05 [INFO] [TRAIN] epoch=157, iter=58130/80000, loss=0.1473, lr=0.003112, batch_cost=0.5498, reader_cost=0.0001 | ETA 03:20:24 2020-12-17 02:39:10 [INFO] [TRAIN] epoch=157, iter=58140/80000, loss=0.1632, lr=0.003111, batch_cost=0.5328, reader_cost=0.0001 | ETA 03:14:06 2020-12-17 02:39:15 [INFO] [TRAIN] epoch=157, iter=58150/80000, loss=0.1622, lr=0.003110, batch_cost=0.5536, reader_cost=0.0001 | ETA 03:21:36 2020-12-17 02:39:21 [INFO] [TRAIN] epoch=157, iter=58160/80000, loss=0.1728, lr=0.003109, batch_cost=0.5301, reader_cost=0.0001 | ETA 03:12:56 2020-12-17 02:39:26 [INFO] [TRAIN] epoch=157, iter=58170/80000, loss=0.1781, lr=0.003107, batch_cost=0.5528, reader_cost=0.0011 | ETA 03:21:07 2020-12-17 02:39:32 [INFO] [TRAIN] epoch=157, iter=58180/80000, loss=0.2032, lr=0.003106, batch_cost=0.5330, reader_cost=0.0001 | ETA 03:13:50 2020-12-17 02:39:37 [INFO] [TRAIN] epoch=157, iter=58190/80000, loss=0.1834, lr=0.003105, batch_cost=0.5534, reader_cost=0.0001 | ETA 03:21:10 2020-12-17 02:39:43 [INFO] [TRAIN] epoch=157, iter=58200/80000, loss=0.1851, lr=0.003103, batch_cost=0.5500, reader_cost=0.0001 | ETA 03:19:49 2020-12-17 02:39:48 [INFO] [TRAIN] epoch=157, iter=58210/80000, loss=0.1412, lr=0.003102, batch_cost=0.5379, reader_cost=0.0002 | ETA 03:15:21 2020-12-17 02:39:53 [INFO] [TRAIN] epoch=157, iter=58220/80000, loss=0.1408, lr=0.003101, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:15:27 2020-12-17 02:39:59 [INFO] [TRAIN] epoch=157, iter=58230/80000, loss=0.1569, lr=0.003100, batch_cost=0.5430, reader_cost=0.0001 | ETA 03:17:00 2020-12-17 02:40:04 [INFO] [TRAIN] epoch=157, iter=58240/80000, loss=0.1590, lr=0.003098, batch_cost=0.5365, reader_cost=0.0001 | ETA 03:14:33 2020-12-17 02:40:10 [INFO] [TRAIN] epoch=157, iter=58250/80000, loss=0.1633, lr=0.003097, batch_cost=0.5472, reader_cost=0.0002 | ETA 03:18:22 2020-12-17 02:40:15 [INFO] [TRAIN] epoch=157, iter=58260/80000, loss=0.1569, lr=0.003096, batch_cost=0.5473, reader_cost=0.0001 | ETA 03:18:19 2020-12-17 02:40:20 [INFO] [TRAIN] epoch=157, iter=58270/80000, loss=0.1178, lr=0.003095, batch_cost=0.5325, reader_cost=0.0001 | ETA 03:12:50 2020-12-17 02:40:26 [INFO] [TRAIN] epoch=157, iter=58280/80000, loss=0.1894, lr=0.003093, batch_cost=0.5549, reader_cost=0.0003 | ETA 03:20:53 2020-12-17 02:40:31 [INFO] [TRAIN] epoch=157, iter=58290/80000, loss=0.1807, lr=0.003092, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:16:26 2020-12-17 02:40:37 [INFO] [TRAIN] epoch=157, iter=58300/80000, loss=0.1677, lr=0.003091, batch_cost=0.5514, reader_cost=0.0001 | ETA 03:19:25 2020-12-17 02:40:42 [INFO] [TRAIN] epoch=157, iter=58310/80000, loss=0.1840, lr=0.003089, batch_cost=0.5266, reader_cost=0.0001 | ETA 03:10:21 2020-12-17 02:40:48 [INFO] [TRAIN] epoch=157, iter=58320/80000, loss=0.2171, lr=0.003088, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:13:55 2020-12-17 02:40:53 [INFO] [TRAIN] epoch=157, iter=58330/80000, loss=0.1318, lr=0.003087, batch_cost=0.5435, reader_cost=0.0002 | ETA 03:16:18 2020-12-17 02:40:58 [INFO] [TRAIN] epoch=157, iter=58340/80000, loss=0.1821, lr=0.003086, batch_cost=0.5446, reader_cost=0.0002 | ETA 03:16:35 2020-12-17 02:41:04 [INFO] [TRAIN] epoch=157, iter=58350/80000, loss=0.1517, lr=0.003084, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:13:53 2020-12-17 02:41:09 [INFO] [TRAIN] epoch=157, iter=58360/80000, loss=0.1390, lr=0.003083, batch_cost=0.5482, reader_cost=0.0002 | ETA 03:17:42 2020-12-17 02:41:15 [INFO] [TRAIN] epoch=157, iter=58370/80000, loss=0.1690, lr=0.003082, batch_cost=0.5567, reader_cost=0.0001 | ETA 03:20:41 2020-12-17 02:41:20 [INFO] [TRAIN] epoch=157, iter=58380/80000, loss=0.1363, lr=0.003080, batch_cost=0.5532, reader_cost=0.0001 | ETA 03:19:20 2020-12-17 02:41:26 [INFO] [TRAIN] epoch=157, iter=58390/80000, loss=0.1344, lr=0.003079, batch_cost=0.5238, reader_cost=0.0002 | ETA 03:08:39 2020-12-17 02:41:31 [INFO] [TRAIN] epoch=157, iter=58400/80000, loss=0.2207, lr=0.003078, batch_cost=0.5500, reader_cost=0.0001 | ETA 03:18:01 2020-12-17 02:41:37 [INFO] [TRAIN] epoch=158, iter=58410/80000, loss=0.2024, lr=0.003077, batch_cost=0.5996, reader_cost=0.0698 | ETA 03:35:46 2020-12-17 02:41:43 [INFO] [TRAIN] epoch=158, iter=58420/80000, loss=0.1616, lr=0.003075, batch_cost=0.5783, reader_cost=0.0001 | ETA 03:27:59 2020-12-17 02:41:48 [INFO] [TRAIN] epoch=158, iter=58430/80000, loss=0.1652, lr=0.003074, batch_cost=0.5558, reader_cost=0.0001 | ETA 03:19:48 2020-12-17 02:41:54 [INFO] [TRAIN] epoch=158, iter=58440/80000, loss=0.1082, lr=0.003073, batch_cost=0.5598, reader_cost=0.0001 | ETA 03:21:08 2020-12-17 02:42:00 [INFO] [TRAIN] epoch=158, iter=58450/80000, loss=0.1553, lr=0.003071, batch_cost=0.5501, reader_cost=0.0001 | ETA 03:17:34 2020-12-17 02:42:05 [INFO] [TRAIN] epoch=158, iter=58460/80000, loss=0.1741, lr=0.003070, batch_cost=0.5590, reader_cost=0.0001 | ETA 03:20:40 2020-12-17 02:42:11 [INFO] [TRAIN] epoch=158, iter=58470/80000, loss=0.1962, lr=0.003069, batch_cost=0.5457, reader_cost=0.0001 | ETA 03:15:49 2020-12-17 02:42:16 [INFO] [TRAIN] epoch=158, iter=58480/80000, loss=0.1859, lr=0.003068, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:13:04 2020-12-17 02:42:21 [INFO] [TRAIN] epoch=158, iter=58490/80000, loss=0.1552, lr=0.003066, batch_cost=0.5462, reader_cost=0.0010 | ETA 03:15:48 2020-12-17 02:42:27 [INFO] [TRAIN] epoch=158, iter=58500/80000, loss=0.1677, lr=0.003065, batch_cost=0.5483, reader_cost=0.0009 | ETA 03:16:29 2020-12-17 02:42:32 [INFO] [TRAIN] epoch=158, iter=58510/80000, loss=0.1980, lr=0.003064, batch_cost=0.5500, reader_cost=0.0001 | ETA 03:17:00 2020-12-17 02:42:38 [INFO] [TRAIN] epoch=158, iter=58520/80000, loss=0.1393, lr=0.003062, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:12:12 2020-12-17 02:42:43 [INFO] [TRAIN] epoch=158, iter=58530/80000, loss=0.1844, lr=0.003061, batch_cost=0.5422, reader_cost=0.0001 | ETA 03:14:01 2020-12-17 02:42:49 [INFO] [TRAIN] epoch=158, iter=58540/80000, loss=0.1627, lr=0.003060, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:12:34 2020-12-17 02:42:54 [INFO] [TRAIN] epoch=158, iter=58550/80000, loss=0.1636, lr=0.003059, batch_cost=0.5503, reader_cost=0.0001 | ETA 03:16:43 2020-12-17 02:42:59 [INFO] [TRAIN] epoch=158, iter=58560/80000, loss=0.1632, lr=0.003057, batch_cost=0.5288, reader_cost=0.0001 | ETA 03:08:57 2020-12-17 02:43:05 [INFO] [TRAIN] epoch=158, iter=58570/80000, loss=0.1869, lr=0.003056, batch_cost=0.5451, reader_cost=0.0001 | ETA 03:14:40 2020-12-17 02:43:10 [INFO] [TRAIN] epoch=158, iter=58580/80000, loss=0.1762, lr=0.003055, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:14:28 2020-12-17 02:43:16 [INFO] [TRAIN] epoch=158, iter=58590/80000, loss=0.1256, lr=0.003053, batch_cost=0.5587, reader_cost=0.0001 | ETA 03:19:20 2020-12-17 02:43:21 [INFO] [TRAIN] epoch=158, iter=58600/80000, loss=0.1668, lr=0.003052, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:13:04 2020-12-17 02:43:27 [INFO] [TRAIN] epoch=158, iter=58610/80000, loss=0.1772, lr=0.003051, batch_cost=0.5344, reader_cost=0.0001 | ETA 03:10:30 2020-12-17 02:43:32 [INFO] [TRAIN] epoch=158, iter=58620/80000, loss=0.1836, lr=0.003050, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:13:19 2020-12-17 02:43:38 [INFO] [TRAIN] epoch=158, iter=58630/80000, loss=0.1624, lr=0.003048, batch_cost=0.5457, reader_cost=0.0001 | ETA 03:14:22 2020-12-17 02:43:43 [INFO] [TRAIN] epoch=158, iter=58640/80000, loss=0.1559, lr=0.003047, batch_cost=0.5334, reader_cost=0.0001 | ETA 03:09:53 2020-12-17 02:43:48 [INFO] [TRAIN] epoch=158, iter=58650/80000, loss=0.1310, lr=0.003046, batch_cost=0.5499, reader_cost=0.0002 | ETA 03:15:40 2020-12-17 02:43:54 [INFO] [TRAIN] epoch=158, iter=58660/80000, loss=0.1939, lr=0.003044, batch_cost=0.5593, reader_cost=0.0001 | ETA 03:18:55 2020-12-17 02:43:59 [INFO] [TRAIN] epoch=158, iter=58670/80000, loss=0.1578, lr=0.003043, batch_cost=0.5462, reader_cost=0.0001 | ETA 03:14:10 2020-12-17 02:44:05 [INFO] [TRAIN] epoch=158, iter=58680/80000, loss=0.1867, lr=0.003042, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:12:59 2020-12-17 02:44:10 [INFO] [TRAIN] epoch=158, iter=58690/80000, loss=0.1656, lr=0.003041, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:10:28 2020-12-17 02:44:16 [INFO] [TRAIN] epoch=158, iter=58700/80000, loss=0.1792, lr=0.003039, batch_cost=0.5422, reader_cost=0.0002 | ETA 03:12:29 2020-12-17 02:44:21 [INFO] [TRAIN] epoch=158, iter=58710/80000, loss=0.1631, lr=0.003038, batch_cost=0.5288, reader_cost=0.0001 | ETA 03:07:37 2020-12-17 02:44:26 [INFO] [TRAIN] epoch=158, iter=58720/80000, loss=0.1661, lr=0.003037, batch_cost=0.5485, reader_cost=0.0001 | ETA 03:14:32 2020-12-17 02:44:32 [INFO] [TRAIN] epoch=158, iter=58730/80000, loss=0.1415, lr=0.003035, batch_cost=0.5634, reader_cost=0.0001 | ETA 03:19:43 2020-12-17 02:44:37 [INFO] [TRAIN] epoch=158, iter=58740/80000, loss=0.1687, lr=0.003034, batch_cost=0.5304, reader_cost=0.0001 | ETA 03:07:56 2020-12-17 02:44:43 [INFO] [TRAIN] epoch=158, iter=58750/80000, loss=0.1450, lr=0.003033, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:10:42 2020-12-17 02:44:48 [INFO] [TRAIN] epoch=158, iter=58760/80000, loss=0.1438, lr=0.003032, batch_cost=0.5443, reader_cost=0.0001 | ETA 03:12:40 2020-12-17 02:44:54 [INFO] [TRAIN] epoch=158, iter=58770/80000, loss=0.1515, lr=0.003030, batch_cost=0.5441, reader_cost=0.0002 | ETA 03:12:30 2020-12-17 02:44:59 [INFO] [TRAIN] epoch=159, iter=58780/80000, loss=0.1401, lr=0.003029, batch_cost=0.5850, reader_cost=0.0692 | ETA 03:26:54 2020-12-17 02:45:05 [INFO] [TRAIN] epoch=159, iter=58790/80000, loss=0.1786, lr=0.003028, batch_cost=0.5730, reader_cost=0.0001 | ETA 03:22:33 2020-12-17 02:45:11 [INFO] [TRAIN] epoch=159, iter=58800/80000, loss=0.1880, lr=0.003026, batch_cost=0.5477, reader_cost=0.0001 | ETA 03:13:31 2020-12-17 02:45:16 [INFO] [TRAIN] epoch=159, iter=58810/80000, loss=0.2493, lr=0.003025, batch_cost=0.5422, reader_cost=0.0005 | ETA 03:11:29 2020-12-17 02:45:22 [INFO] [TRAIN] epoch=159, iter=58820/80000, loss=0.1706, lr=0.003024, batch_cost=0.5658, reader_cost=0.0001 | ETA 03:19:43 2020-12-17 02:45:27 [INFO] [TRAIN] epoch=159, iter=58830/80000, loss=0.1740, lr=0.003023, batch_cost=0.5405, reader_cost=0.0003 | ETA 03:10:41 2020-12-17 02:45:33 [INFO] [TRAIN] epoch=159, iter=58840/80000, loss=0.1884, lr=0.003021, batch_cost=0.5316, reader_cost=0.0001 | ETA 03:07:29 2020-12-17 02:45:38 [INFO] [TRAIN] epoch=159, iter=58850/80000, loss=0.1258, lr=0.003020, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:11:18 2020-12-17 02:45:43 [INFO] [TRAIN] epoch=159, iter=58860/80000, loss=0.1374, lr=0.003019, batch_cost=0.5524, reader_cost=0.0001 | ETA 03:14:38 2020-12-17 02:45:49 [INFO] [TRAIN] epoch=159, iter=58870/80000, loss=0.1737, lr=0.003017, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:09:45 2020-12-17 02:45:54 [INFO] [TRAIN] epoch=159, iter=58880/80000, loss=0.1671, lr=0.003016, batch_cost=0.5579, reader_cost=0.0002 | ETA 03:16:22 2020-12-17 02:46:00 [INFO] [TRAIN] epoch=159, iter=58890/80000, loss=0.1639, lr=0.003015, batch_cost=0.5480, reader_cost=0.0001 | ETA 03:12:48 2020-12-17 02:46:05 [INFO] [TRAIN] epoch=159, iter=58900/80000, loss=0.1975, lr=0.003014, batch_cost=0.5346, reader_cost=0.0001 | ETA 03:07:59 2020-12-17 02:46:11 [INFO] [TRAIN] epoch=159, iter=58910/80000, loss=0.1277, lr=0.003012, batch_cost=0.5456, reader_cost=0.0001 | ETA 03:11:47 2020-12-17 02:46:16 [INFO] [TRAIN] epoch=159, iter=58920/80000, loss=0.1590, lr=0.003011, batch_cost=0.5443, reader_cost=0.0010 | ETA 03:11:13 2020-12-17 02:46:22 [INFO] [TRAIN] epoch=159, iter=58930/80000, loss=0.1653, lr=0.003010, batch_cost=0.5521, reader_cost=0.0001 | ETA 03:13:52 2020-12-17 02:46:27 [INFO] [TRAIN] epoch=159, iter=58940/80000, loss=0.1756, lr=0.003009, batch_cost=0.5617, reader_cost=0.0001 | ETA 03:17:09 2020-12-17 02:46:33 [INFO] [TRAIN] epoch=159, iter=58950/80000, loss=0.1816, lr=0.003007, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:09:53 2020-12-17 02:46:38 [INFO] [TRAIN] epoch=159, iter=58960/80000, loss=0.1425, lr=0.003006, batch_cost=0.5257, reader_cost=0.0001 | ETA 03:04:20 2020-12-17 02:46:43 [INFO] [TRAIN] epoch=159, iter=58970/80000, loss=0.1549, lr=0.003005, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:08:42 2020-12-17 02:46:49 [INFO] [TRAIN] epoch=159, iter=58980/80000, loss=0.1217, lr=0.003003, batch_cost=0.5365, reader_cost=0.0001 | ETA 03:07:57 2020-12-17 02:46:54 [INFO] [TRAIN] epoch=159, iter=58990/80000, loss=0.2104, lr=0.003002, batch_cost=0.5558, reader_cost=0.0001 | ETA 03:14:38 2020-12-17 02:47:00 [INFO] [TRAIN] epoch=159, iter=59000/80000, loss=0.1319, lr=0.003001, batch_cost=0.5637, reader_cost=0.0001 | ETA 03:17:18 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:47:00 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:47:34 [INFO] [EVAL] #Images=500 mIoU=0.7769 Acc=0.9588 Kappa=0.9464 2020-12-17 02:47:34 [INFO] [EVAL] Class IoU: [0.9804 0.8396 0.9208 0.5246 0.6025 0.5821 0.6961 0.7727 0.9208 0.6506 0.9474 0.8101 0.6145 0.9471 0.8516 0.8874 0.8193 0.6245 0.7689] 2020-12-17 02:47:34 [INFO] [EVAL] Class Acc: [0.9899 0.9093 0.9519 0.8534 0.8258 0.7784 0.8244 0.9119 0.9482 0.8941 0.9722 0.8847 0.7979 0.9738 0.9508 0.9478 0.954 0.8304 0.8503] 2020-12-17 02:47:38 [INFO] [EVAL] The model with the best validation mIoU (0.7828) was saved at iter 58000. 2020-12-17 02:47:43 [INFO] [TRAIN] epoch=159, iter=59010/80000, loss=0.1439, lr=0.002999, batch_cost=0.5358, reader_cost=0.0002 | ETA 03:07:27 2020-12-17 02:47:49 [INFO] [TRAIN] epoch=159, iter=59020/80000, loss=0.2202, lr=0.002998, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:08:59 2020-12-17 02:47:54 [INFO] [TRAIN] epoch=159, iter=59030/80000, loss=0.1770, lr=0.002997, batch_cost=0.5446, reader_cost=0.0001 | ETA 03:10:21 2020-12-17 02:47:59 [INFO] [TRAIN] epoch=159, iter=59040/80000, loss=0.1341, lr=0.002996, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:09:39 2020-12-17 02:48:05 [INFO] [TRAIN] epoch=159, iter=59050/80000, loss=0.1870, lr=0.002994, batch_cost=0.5422, reader_cost=0.0001 | ETA 03:09:18 2020-12-17 02:48:10 [INFO] [TRAIN] epoch=159, iter=59060/80000, loss=0.1660, lr=0.002993, batch_cost=0.5485, reader_cost=0.0003 | ETA 03:11:24 2020-12-17 02:48:16 [INFO] [TRAIN] epoch=159, iter=59070/80000, loss=0.1579, lr=0.002992, batch_cost=0.5496, reader_cost=0.0002 | ETA 03:11:43 2020-12-17 02:48:21 [INFO] [TRAIN] epoch=159, iter=59080/80000, loss=0.1894, lr=0.002990, batch_cost=0.5286, reader_cost=0.0001 | ETA 03:04:17 2020-12-17 02:48:26 [INFO] [TRAIN] epoch=159, iter=59090/80000, loss=0.1381, lr=0.002989, batch_cost=0.5318, reader_cost=0.0002 | ETA 03:05:20 2020-12-17 02:48:32 [INFO] [TRAIN] epoch=159, iter=59100/80000, loss=0.1482, lr=0.002988, batch_cost=0.5324, reader_cost=0.0001 | ETA 03:05:26 2020-12-17 02:48:37 [INFO] [TRAIN] epoch=159, iter=59110/80000, loss=0.1537, lr=0.002987, batch_cost=0.5459, reader_cost=0.0001 | ETA 03:10:04 2020-12-17 02:48:43 [INFO] [TRAIN] epoch=159, iter=59120/80000, loss=0.1993, lr=0.002985, batch_cost=0.5424, reader_cost=0.0002 | ETA 03:08:46 2020-12-17 02:48:48 [INFO] [TRAIN] epoch=159, iter=59130/80000, loss=0.1451, lr=0.002984, batch_cost=0.5440, reader_cost=0.0002 | ETA 03:09:13 2020-12-17 02:48:54 [INFO] [TRAIN] epoch=159, iter=59140/80000, loss=0.1640, lr=0.002983, batch_cost=0.5498, reader_cost=0.0001 | ETA 03:11:08 2020-12-17 02:49:00 [INFO] [TRAIN] epoch=160, iter=59150/80000, loss=0.3650, lr=0.002981, batch_cost=0.5933, reader_cost=0.0775 | ETA 03:26:10 2020-12-17 02:49:05 [INFO] [TRAIN] epoch=160, iter=59160/80000, loss=0.1641, lr=0.002980, batch_cost=0.5657, reader_cost=0.0001 | ETA 03:16:29 2020-12-17 02:49:11 [INFO] [TRAIN] epoch=160, iter=59170/80000, loss=0.1584, lr=0.002979, batch_cost=0.5732, reader_cost=0.0001 | ETA 03:19:00 2020-12-17 02:49:17 [INFO] [TRAIN] epoch=160, iter=59180/80000, loss=0.1845, lr=0.002978, batch_cost=0.5581, reader_cost=0.0000 | ETA 03:13:40 2020-12-17 02:49:22 [INFO] [TRAIN] epoch=160, iter=59190/80000, loss=0.1457, lr=0.002976, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:06:49 2020-12-17 02:49:28 [INFO] [TRAIN] epoch=160, iter=59200/80000, loss=0.1531, lr=0.002975, batch_cost=0.5628, reader_cost=0.0001 | ETA 03:15:06 2020-12-17 02:49:33 [INFO] [TRAIN] epoch=160, iter=59210/80000, loss=0.2230, lr=0.002974, batch_cost=0.5320, reader_cost=0.0001 | ETA 03:04:20 2020-12-17 02:49:38 [INFO] [TRAIN] epoch=160, iter=59220/80000, loss=0.1676, lr=0.002972, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:07:44 2020-12-17 02:49:44 [INFO] [TRAIN] epoch=160, iter=59230/80000, loss=0.1409, lr=0.002971, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:05:39 2020-12-17 02:49:49 [INFO] [TRAIN] epoch=160, iter=59240/80000, loss=0.1707, lr=0.002970, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:07:42 2020-12-17 02:49:54 [INFO] [TRAIN] epoch=160, iter=59250/80000, loss=0.1980, lr=0.002969, batch_cost=0.5279, reader_cost=0.0002 | ETA 03:02:34 2020-12-17 02:50:00 [INFO] [TRAIN] epoch=160, iter=59260/80000, loss=0.1388, lr=0.002967, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:05:56 2020-12-17 02:50:05 [INFO] [TRAIN] epoch=160, iter=59270/80000, loss=0.1645, lr=0.002966, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:06:40 2020-12-17 02:50:11 [INFO] [TRAIN] epoch=160, iter=59280/80000, loss=0.1492, lr=0.002965, batch_cost=0.5486, reader_cost=0.0003 | ETA 03:09:27 2020-12-17 02:50:16 [INFO] [TRAIN] epoch=160, iter=59290/80000, loss=0.1642, lr=0.002963, batch_cost=0.5313, reader_cost=0.0001 | ETA 03:03:23 2020-12-17 02:50:21 [INFO] [TRAIN] epoch=160, iter=59300/80000, loss=0.1899, lr=0.002962, batch_cost=0.5509, reader_cost=0.0001 | ETA 03:10:04 2020-12-17 02:50:27 [INFO] [TRAIN] epoch=160, iter=59310/80000, loss=0.1929, lr=0.002961, batch_cost=0.5482, reader_cost=0.0001 | ETA 03:09:01 2020-12-17 02:50:32 [INFO] [TRAIN] epoch=160, iter=59320/80000, loss=0.1989, lr=0.002960, batch_cost=0.5508, reader_cost=0.0002 | ETA 03:09:50 2020-12-17 02:50:38 [INFO] [TRAIN] epoch=160, iter=59330/80000, loss=0.1866, lr=0.002958, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:05:36 2020-12-17 02:50:43 [INFO] [TRAIN] epoch=160, iter=59340/80000, loss=0.1445, lr=0.002957, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:05:06 2020-12-17 02:50:49 [INFO] [TRAIN] epoch=160, iter=59350/80000, loss=0.1717, lr=0.002956, batch_cost=0.5505, reader_cost=0.0001 | ETA 03:09:28 2020-12-17 02:50:54 [INFO] [TRAIN] epoch=160, iter=59360/80000, loss=0.1277, lr=0.002954, batch_cost=0.5293, reader_cost=0.0001 | ETA 03:02:04 2020-12-17 02:51:00 [INFO] [TRAIN] epoch=160, iter=59370/80000, loss=0.1693, lr=0.002953, batch_cost=0.5480, reader_cost=0.0001 | ETA 03:08:24 2020-12-17 02:51:05 [INFO] [TRAIN] epoch=160, iter=59380/80000, loss=0.1344, lr=0.002952, batch_cost=0.5453, reader_cost=0.0001 | ETA 03:07:23 2020-12-17 02:51:10 [INFO] [TRAIN] epoch=160, iter=59390/80000, loss=0.1463, lr=0.002951, batch_cost=0.5447, reader_cost=0.0001 | ETA 03:07:06 2020-12-17 02:51:16 [INFO] [TRAIN] epoch=160, iter=59400/80000, loss=0.2167, lr=0.002949, batch_cost=0.5357, reader_cost=0.0006 | ETA 03:03:55 2020-12-17 02:51:21 [INFO] [TRAIN] epoch=160, iter=59410/80000, loss=0.1207, lr=0.002948, batch_cost=0.5412, reader_cost=0.0002 | ETA 03:05:43 2020-12-17 02:51:27 [INFO] [TRAIN] epoch=160, iter=59420/80000, loss=0.2051, lr=0.002947, batch_cost=0.5459, reader_cost=0.0001 | ETA 03:07:14 2020-12-17 02:51:32 [INFO] [TRAIN] epoch=160, iter=59430/80000, loss=0.1820, lr=0.002945, batch_cost=0.5490, reader_cost=0.0001 | ETA 03:08:13 2020-12-17 02:51:38 [INFO] [TRAIN] epoch=160, iter=59440/80000, loss=0.1506, lr=0.002944, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:04:08 2020-12-17 02:51:43 [INFO] [TRAIN] epoch=160, iter=59450/80000, loss=0.1366, lr=0.002943, batch_cost=0.5404, reader_cost=0.0002 | ETA 03:05:05 2020-12-17 02:51:48 [INFO] [TRAIN] epoch=160, iter=59460/80000, loss=0.1638, lr=0.002942, batch_cost=0.5562, reader_cost=0.0001 | ETA 03:10:23 2020-12-17 02:51:54 [INFO] [TRAIN] epoch=160, iter=59470/80000, loss=0.2324, lr=0.002940, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:04:21 2020-12-17 02:51:59 [INFO] [TRAIN] epoch=160, iter=59480/80000, loss=0.1964, lr=0.002939, batch_cost=0.5529, reader_cost=0.0001 | ETA 03:09:04 2020-12-17 02:52:05 [INFO] [TRAIN] epoch=160, iter=59490/80000, loss=0.1801, lr=0.002938, batch_cost=0.5530, reader_cost=0.0004 | ETA 03:09:01 2020-12-17 02:52:10 [INFO] [TRAIN] epoch=160, iter=59500/80000, loss=0.1188, lr=0.002936, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:04:48 2020-12-17 02:52:16 [INFO] [TRAIN] epoch=160, iter=59510/80000, loss=0.1507, lr=0.002935, batch_cost=0.5470, reader_cost=0.0001 | ETA 03:06:48 2020-12-17 02:52:21 [INFO] [TRAIN] epoch=160, iter=59520/80000, loss=0.1837, lr=0.002934, batch_cost=0.5079, reader_cost=0.0001 | ETA 02:53:22 2020-12-17 02:52:27 [INFO] [TRAIN] epoch=161, iter=59530/80000, loss=0.1705, lr=0.002933, batch_cost=0.6131, reader_cost=0.0652 | ETA 03:29:09 2020-12-17 02:52:33 [INFO] [TRAIN] epoch=161, iter=59540/80000, loss=0.1694, lr=0.002931, batch_cost=0.5552, reader_cost=0.0001 | ETA 03:09:19 2020-12-17 02:52:38 [INFO] [TRAIN] epoch=161, iter=59550/80000, loss=0.1794, lr=0.002930, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:04:53 2020-12-17 02:52:43 [INFO] [TRAIN] epoch=161, iter=59560/80000, loss=0.1570, lr=0.002929, batch_cost=0.5336, reader_cost=0.0002 | ETA 03:01:47 2020-12-17 02:52:49 [INFO] [TRAIN] epoch=161, iter=59570/80000, loss=0.1819, lr=0.002927, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:02:20 2020-12-17 02:52:54 [INFO] [TRAIN] epoch=161, iter=59580/80000, loss=0.1227, lr=0.002926, batch_cost=0.5391, reader_cost=0.0002 | ETA 03:03:28 2020-12-17 02:53:00 [INFO] [TRAIN] epoch=161, iter=59590/80000, loss=0.1452, lr=0.002925, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:04:40 2020-12-17 02:53:05 [INFO] [TRAIN] epoch=161, iter=59600/80000, loss=0.1278, lr=0.002924, batch_cost=0.5466, reader_cost=0.0001 | ETA 03:05:50 2020-12-17 02:53:10 [INFO] [TRAIN] epoch=161, iter=59610/80000, loss=0.1596, lr=0.002922, batch_cost=0.5395, reader_cost=0.0003 | ETA 03:03:21 2020-12-17 02:53:16 [INFO] [TRAIN] epoch=161, iter=59620/80000, loss=0.1677, lr=0.002921, batch_cost=0.5617, reader_cost=0.0001 | ETA 03:10:47 2020-12-17 02:53:21 [INFO] [TRAIN] epoch=161, iter=59630/80000, loss=0.1938, lr=0.002920, batch_cost=0.5230, reader_cost=0.0001 | ETA 02:57:32 2020-12-17 02:53:27 [INFO] [TRAIN] epoch=161, iter=59640/80000, loss=0.1408, lr=0.002918, batch_cost=0.5505, reader_cost=0.0001 | ETA 03:06:48 2020-12-17 02:53:32 [INFO] [TRAIN] epoch=161, iter=59650/80000, loss=0.1761, lr=0.002917, batch_cost=0.5507, reader_cost=0.0001 | ETA 03:06:46 2020-12-17 02:53:38 [INFO] [TRAIN] epoch=161, iter=59660/80000, loss=0.1574, lr=0.002916, batch_cost=0.5607, reader_cost=0.0001 | ETA 03:10:05 2020-12-17 02:53:43 [INFO] [TRAIN] epoch=161, iter=59670/80000, loss=0.1669, lr=0.002914, batch_cost=0.5361, reader_cost=0.0001 | ETA 03:01:38 2020-12-17 02:53:49 [INFO] [TRAIN] epoch=161, iter=59680/80000, loss=0.1674, lr=0.002913, batch_cost=0.5530, reader_cost=0.0001 | ETA 03:07:17 2020-12-17 02:53:54 [INFO] [TRAIN] epoch=161, iter=59690/80000, loss=0.2023, lr=0.002912, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:03:30 2020-12-17 02:54:00 [INFO] [TRAIN] epoch=161, iter=59700/80000, loss=0.1659, lr=0.002911, batch_cost=0.5348, reader_cost=0.0002 | ETA 03:00:57 2020-12-17 02:54:05 [INFO] [TRAIN] epoch=161, iter=59710/80000, loss=0.1706, lr=0.002909, batch_cost=0.5442, reader_cost=0.0004 | ETA 03:04:01 2020-12-17 02:54:10 [INFO] [TRAIN] epoch=161, iter=59720/80000, loss=0.1582, lr=0.002908, batch_cost=0.5367, reader_cost=0.0002 | ETA 03:01:24 2020-12-17 02:54:16 [INFO] [TRAIN] epoch=161, iter=59730/80000, loss=0.1513, lr=0.002907, batch_cost=0.5547, reader_cost=0.0002 | ETA 03:07:23 2020-12-17 02:54:21 [INFO] [TRAIN] epoch=161, iter=59740/80000, loss=0.1813, lr=0.002905, batch_cost=0.5223, reader_cost=0.0002 | ETA 02:56:22 2020-12-17 02:54:27 [INFO] [TRAIN] epoch=161, iter=59750/80000, loss=0.1335, lr=0.002904, batch_cost=0.5480, reader_cost=0.0001 | ETA 03:04:56 2020-12-17 02:54:32 [INFO] [TRAIN] epoch=161, iter=59760/80000, loss=0.2274, lr=0.002903, batch_cost=0.5333, reader_cost=0.0001 | ETA 02:59:54 2020-12-17 02:54:37 [INFO] [TRAIN] epoch=161, iter=59770/80000, loss=0.1356, lr=0.002902, batch_cost=0.5354, reader_cost=0.0001 | ETA 03:00:30 2020-12-17 02:54:43 [INFO] [TRAIN] epoch=161, iter=59780/80000, loss=0.1448, lr=0.002900, batch_cost=0.5353, reader_cost=0.0001 | ETA 03:00:22 2020-12-17 02:54:48 [INFO] [TRAIN] epoch=161, iter=59790/80000, loss=0.1822, lr=0.002899, batch_cost=0.5548, reader_cost=0.0001 | ETA 03:06:52 2020-12-17 02:54:54 [INFO] [TRAIN] epoch=161, iter=59800/80000, loss=0.2268, lr=0.002898, batch_cost=0.5361, reader_cost=0.0001 | ETA 03:00:29 2020-12-17 02:54:59 [INFO] [TRAIN] epoch=161, iter=59810/80000, loss=0.1679, lr=0.002896, batch_cost=0.5505, reader_cost=0.0001 | ETA 03:05:14 2020-12-17 02:55:04 [INFO] [TRAIN] epoch=161, iter=59820/80000, loss=0.2244, lr=0.002895, batch_cost=0.5452, reader_cost=0.0001 | ETA 03:03:22 2020-12-17 02:55:10 [INFO] [TRAIN] epoch=161, iter=59830/80000, loss=0.1392, lr=0.002894, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:00:23 2020-12-17 02:55:15 [INFO] [TRAIN] epoch=161, iter=59840/80000, loss=0.1359, lr=0.002893, batch_cost=0.5532, reader_cost=0.0001 | ETA 03:05:53 2020-12-17 02:55:21 [INFO] [TRAIN] epoch=161, iter=59850/80000, loss=0.1239, lr=0.002891, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:02:27 2020-12-17 02:55:26 [INFO] [TRAIN] epoch=161, iter=59860/80000, loss=0.1550, lr=0.002890, batch_cost=0.5345, reader_cost=0.0001 | ETA 02:59:25 2020-12-17 02:55:31 [INFO] [TRAIN] epoch=161, iter=59870/80000, loss=0.1649, lr=0.002889, batch_cost=0.5211, reader_cost=0.0002 | ETA 02:54:48 2020-12-17 02:55:37 [INFO] [TRAIN] epoch=161, iter=59880/80000, loss=0.1599, lr=0.002887, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:00:55 2020-12-17 02:55:42 [INFO] [TRAIN] epoch=161, iter=59890/80000, loss=0.1877, lr=0.002886, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:00:46 2020-12-17 02:55:48 [INFO] [TRAIN] epoch=162, iter=59900/80000, loss=0.1316, lr=0.002885, batch_cost=0.6009, reader_cost=0.0491 | ETA 03:21:17 2020-12-17 02:55:54 [INFO] [TRAIN] epoch=162, iter=59910/80000, loss=0.1587, lr=0.002884, batch_cost=0.5460, reader_cost=0.0010 | ETA 03:02:49 2020-12-17 02:55:59 [INFO] [TRAIN] epoch=162, iter=59920/80000, loss=0.1630, lr=0.002882, batch_cost=0.5618, reader_cost=0.0002 | ETA 03:08:00 2020-12-17 02:56:05 [INFO] [TRAIN] epoch=162, iter=59930/80000, loss=0.1771, lr=0.002881, batch_cost=0.5588, reader_cost=0.0002 | ETA 03:06:55 2020-12-17 02:56:10 [INFO] [TRAIN] epoch=162, iter=59940/80000, loss=0.1865, lr=0.002880, batch_cost=0.5492, reader_cost=0.0001 | ETA 03:03:37 2020-12-17 02:56:16 [INFO] [TRAIN] epoch=162, iter=59950/80000, loss=0.1654, lr=0.002878, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:01:02 2020-12-17 02:56:21 [INFO] [TRAIN] epoch=162, iter=59960/80000, loss=0.1682, lr=0.002877, batch_cost=0.5346, reader_cost=0.0003 | ETA 02:58:33 2020-12-17 02:56:27 [INFO] [TRAIN] epoch=162, iter=59970/80000, loss=0.1836, lr=0.002876, batch_cost=0.5551, reader_cost=0.0001 | ETA 03:05:17 2020-12-17 02:56:32 [INFO] [TRAIN] epoch=162, iter=59980/80000, loss=0.1533, lr=0.002874, batch_cost=0.5315, reader_cost=0.0001 | ETA 02:57:21 2020-12-17 02:56:38 [INFO] [TRAIN] epoch=162, iter=59990/80000, loss=0.1578, lr=0.002873, batch_cost=0.5529, reader_cost=0.0001 | ETA 03:04:22 2020-12-17 02:56:43 [INFO] [TRAIN] epoch=162, iter=60000/80000, loss=0.1593, lr=0.002872, batch_cost=0.5647, reader_cost=0.0002 | ETA 03:08:13 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:56:43 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 02:57:17 [INFO] [EVAL] #Images=500 mIoU=0.7844 Acc=0.9602 Kappa=0.9483 2020-12-17 02:57:17 [INFO] [EVAL] Class IoU: [0.9817 0.8521 0.9218 0.5628 0.6193 0.5898 0.7019 0.7815 0.9237 0.653 0.9465 0.8119 0.6274 0.9497 0.8422 0.8895 0.8247 0.6528 0.7717] 2020-12-17 02:57:17 [INFO] [EVAL] Class Acc: [0.992 0.9137 0.9494 0.8476 0.8382 0.772 0.8284 0.894 0.958 0.8852 0.97 0.8777 0.7851 0.9718 0.9141 0.9379 0.956 0.8293 0.8681] 2020-12-17 02:57:23 [INFO] [EVAL] The model with the best validation mIoU (0.7844) was saved at iter 60000. 2020-12-17 02:57:28 [INFO] [TRAIN] epoch=162, iter=60010/80000, loss=0.1803, lr=0.002871, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:00:47 2020-12-17 02:57:34 [INFO] [TRAIN] epoch=162, iter=60020/80000, loss=0.2422, lr=0.002869, batch_cost=0.5646, reader_cost=0.0001 | ETA 03:07:59 2020-12-17 02:57:39 [INFO] [TRAIN] epoch=162, iter=60030/80000, loss=0.1678, lr=0.002868, batch_cost=0.5444, reader_cost=0.0001 | ETA 03:01:12 2020-12-17 02:57:45 [INFO] [TRAIN] epoch=162, iter=60040/80000, loss=0.1523, lr=0.002867, batch_cost=0.5302, reader_cost=0.0002 | ETA 02:56:23 2020-12-17 02:57:50 [INFO] [TRAIN] epoch=162, iter=60050/80000, loss=0.1616, lr=0.002865, batch_cost=0.5519, reader_cost=0.0002 | ETA 03:03:30 2020-12-17 02:57:56 [INFO] [TRAIN] epoch=162, iter=60060/80000, loss=0.1664, lr=0.002864, batch_cost=0.5465, reader_cost=0.0001 | ETA 03:01:36 2020-12-17 02:58:01 [INFO] [TRAIN] epoch=162, iter=60070/80000, loss=0.2015, lr=0.002863, batch_cost=0.5491, reader_cost=0.0003 | ETA 03:02:22 2020-12-17 02:58:07 [INFO] [TRAIN] epoch=162, iter=60080/80000, loss=0.1637, lr=0.002862, batch_cost=0.5667, reader_cost=0.0001 | ETA 03:08:08 2020-12-17 02:58:12 [INFO] [TRAIN] epoch=162, iter=60090/80000, loss=0.1503, lr=0.002860, batch_cost=0.5303, reader_cost=0.0001 | ETA 02:55:57 2020-12-17 02:58:18 [INFO] [TRAIN] epoch=162, iter=60100/80000, loss=0.1327, lr=0.002859, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:00:28 2020-12-17 02:58:23 [INFO] [TRAIN] epoch=162, iter=60110/80000, loss=0.1395, lr=0.002858, batch_cost=0.5452, reader_cost=0.0001 | ETA 03:00:43 2020-12-17 02:58:29 [INFO] [TRAIN] epoch=162, iter=60120/80000, loss=0.1285, lr=0.002856, batch_cost=0.5442, reader_cost=0.0001 | ETA 03:00:18 2020-12-17 02:58:34 [INFO] [TRAIN] epoch=162, iter=60130/80000, loss=0.1494, lr=0.002855, batch_cost=0.5527, reader_cost=0.0001 | ETA 03:03:02 2020-12-17 02:58:40 [INFO] [TRAIN] epoch=162, iter=60140/80000, loss=0.1735, lr=0.002854, batch_cost=0.5514, reader_cost=0.0001 | ETA 03:02:31 2020-12-17 02:58:45 [INFO] [TRAIN] epoch=162, iter=60150/80000, loss=0.1668, lr=0.002852, batch_cost=0.5424, reader_cost=0.0001 | ETA 02:59:26 2020-12-17 02:58:50 [INFO] [TRAIN] epoch=162, iter=60160/80000, loss=0.1828, lr=0.002851, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:59:14 2020-12-17 02:58:56 [INFO] [TRAIN] epoch=162, iter=60170/80000, loss=0.2417, lr=0.002850, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:59:00 2020-12-17 02:59:01 [INFO] [TRAIN] epoch=162, iter=60180/80000, loss=0.1566, lr=0.002849, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:56:56 2020-12-17 02:59:07 [INFO] [TRAIN] epoch=162, iter=60190/80000, loss=0.1981, lr=0.002847, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:59:12 2020-12-17 02:59:12 [INFO] [TRAIN] epoch=162, iter=60200/80000, loss=0.1598, lr=0.002846, batch_cost=0.5574, reader_cost=0.0001 | ETA 03:03:56 2020-12-17 02:59:18 [INFO] [TRAIN] epoch=162, iter=60210/80000, loss=0.1546, lr=0.002845, batch_cost=0.5349, reader_cost=0.0001 | ETA 02:56:26 2020-12-17 02:59:23 [INFO] [TRAIN] epoch=162, iter=60220/80000, loss=0.1390, lr=0.002843, batch_cost=0.5553, reader_cost=0.0001 | ETA 03:03:03 2020-12-17 02:59:28 [INFO] [TRAIN] epoch=162, iter=60230/80000, loss=0.1691, lr=0.002842, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:57:01 2020-12-17 02:59:34 [INFO] [TRAIN] epoch=162, iter=60240/80000, loss=0.1437, lr=0.002841, batch_cost=0.5511, reader_cost=0.0001 | ETA 03:01:30 2020-12-17 02:59:39 [INFO] [TRAIN] epoch=162, iter=60250/80000, loss=0.1451, lr=0.002840, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:58:01 2020-12-17 02:59:45 [INFO] [TRAIN] epoch=162, iter=60260/80000, loss=0.1887, lr=0.002838, batch_cost=0.5589, reader_cost=0.0001 | ETA 03:03:53 2020-12-17 02:59:51 [INFO] [TRAIN] epoch=163, iter=60270/80000, loss=0.2340, lr=0.002837, batch_cost=0.6056, reader_cost=0.0747 | ETA 03:19:09 2020-12-17 02:59:57 [INFO] [TRAIN] epoch=163, iter=60280/80000, loss=0.1580, lr=0.002836, batch_cost=0.5578, reader_cost=0.0001 | ETA 03:03:20 2020-12-17 03:00:02 [INFO] [TRAIN] epoch=163, iter=60290/80000, loss=0.1476, lr=0.002834, batch_cost=0.5589, reader_cost=0.0002 | ETA 03:03:35 2020-12-17 03:00:08 [INFO] [TRAIN] epoch=163, iter=60300/80000, loss=0.2219, lr=0.002833, batch_cost=0.5306, reader_cost=0.0014 | ETA 02:54:12 2020-12-17 03:00:13 [INFO] [TRAIN] epoch=163, iter=60310/80000, loss=0.1363, lr=0.002832, batch_cost=0.5453, reader_cost=0.0003 | ETA 02:58:56 2020-12-17 03:00:18 [INFO] [TRAIN] epoch=163, iter=60320/80000, loss=0.1199, lr=0.002830, batch_cost=0.5486, reader_cost=0.0001 | ETA 02:59:55 2020-12-17 03:00:24 [INFO] [TRAIN] epoch=163, iter=60330/80000, loss=0.1773, lr=0.002829, batch_cost=0.5443, reader_cost=0.0003 | ETA 02:58:25 2020-12-17 03:00:29 [INFO] [TRAIN] epoch=163, iter=60340/80000, loss=0.1672, lr=0.002828, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:56:45 2020-12-17 03:00:35 [INFO] [TRAIN] epoch=163, iter=60350/80000, loss=0.2149, lr=0.002827, batch_cost=0.5604, reader_cost=0.0002 | ETA 03:03:30 2020-12-17 03:00:40 [INFO] [TRAIN] epoch=163, iter=60360/80000, loss=0.1474, lr=0.002825, batch_cost=0.5420, reader_cost=0.0001 | ETA 02:57:24 2020-12-17 03:00:46 [INFO] [TRAIN] epoch=163, iter=60370/80000, loss=0.1564, lr=0.002824, batch_cost=0.5494, reader_cost=0.0001 | ETA 02:59:45 2020-12-17 03:00:51 [INFO] [TRAIN] epoch=163, iter=60380/80000, loss=0.1836, lr=0.002823, batch_cost=0.5437, reader_cost=0.0003 | ETA 02:57:47 2020-12-17 03:00:57 [INFO] [TRAIN] epoch=163, iter=60390/80000, loss=0.1319, lr=0.002821, batch_cost=0.5434, reader_cost=0.0001 | ETA 02:57:35 2020-12-17 03:01:02 [INFO] [TRAIN] epoch=163, iter=60400/80000, loss=0.1608, lr=0.002820, batch_cost=0.5353, reader_cost=0.0001 | ETA 02:54:51 2020-12-17 03:01:07 [INFO] [TRAIN] epoch=163, iter=60410/80000, loss=0.1478, lr=0.002819, batch_cost=0.5333, reader_cost=0.0001 | ETA 02:54:07 2020-12-17 03:01:13 [INFO] [TRAIN] epoch=163, iter=60420/80000, loss=0.1678, lr=0.002818, batch_cost=0.5341, reader_cost=0.0001 | ETA 02:54:18 2020-12-17 03:01:18 [INFO] [TRAIN] epoch=163, iter=60430/80000, loss=0.2578, lr=0.002816, batch_cost=0.5593, reader_cost=0.0002 | ETA 03:02:25 2020-12-17 03:01:24 [INFO] [TRAIN] epoch=163, iter=60440/80000, loss=0.1464, lr=0.002815, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:54:49 2020-12-17 03:01:29 [INFO] [TRAIN] epoch=163, iter=60450/80000, loss=0.1767, lr=0.002814, batch_cost=0.5462, reader_cost=0.0001 | ETA 02:57:57 2020-12-17 03:01:35 [INFO] [TRAIN] epoch=163, iter=60460/80000, loss=0.2129, lr=0.002812, batch_cost=0.5515, reader_cost=0.0001 | ETA 02:59:36 2020-12-17 03:01:40 [INFO] [TRAIN] epoch=163, iter=60470/80000, loss=0.1987, lr=0.002811, batch_cost=0.5456, reader_cost=0.0001 | ETA 02:57:35 2020-12-17 03:01:45 [INFO] [TRAIN] epoch=163, iter=60480/80000, loss=0.1642, lr=0.002810, batch_cost=0.5200, reader_cost=0.0001 | ETA 02:49:10 2020-12-17 03:01:51 [INFO] [TRAIN] epoch=163, iter=60490/80000, loss=0.1833, lr=0.002808, batch_cost=0.5446, reader_cost=0.0001 | ETA 02:57:05 2020-12-17 03:01:56 [INFO] [TRAIN] epoch=163, iter=60500/80000, loss=0.1313, lr=0.002807, batch_cost=0.5318, reader_cost=0.0003 | ETA 02:52:50 2020-12-17 03:02:02 [INFO] [TRAIN] epoch=163, iter=60510/80000, loss=0.1821, lr=0.002806, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:56:53 2020-12-17 03:02:07 [INFO] [TRAIN] epoch=163, iter=60520/80000, loss=0.2171, lr=0.002805, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:53:56 2020-12-17 03:02:12 [INFO] [TRAIN] epoch=163, iter=60530/80000, loss=0.1503, lr=0.002803, batch_cost=0.5209, reader_cost=0.0001 | ETA 02:49:02 2020-12-17 03:02:18 [INFO] [TRAIN] epoch=163, iter=60540/80000, loss=0.2270, lr=0.002802, batch_cost=0.5474, reader_cost=0.0001 | ETA 02:57:33 2020-12-17 03:02:23 [INFO] [TRAIN] epoch=163, iter=60550/80000, loss=0.1455, lr=0.002801, batch_cost=0.5458, reader_cost=0.0001 | ETA 02:56:55 2020-12-17 03:02:28 [INFO] [TRAIN] epoch=163, iter=60560/80000, loss=0.1771, lr=0.002799, batch_cost=0.5444, reader_cost=0.0001 | ETA 02:56:23 2020-12-17 03:02:34 [INFO] [TRAIN] epoch=163, iter=60570/80000, loss=0.1811, lr=0.002798, batch_cost=0.5573, reader_cost=0.0001 | ETA 03:00:28 2020-12-17 03:02:40 [INFO] [TRAIN] epoch=163, iter=60580/80000, loss=0.1270, lr=0.002797, batch_cost=0.5523, reader_cost=0.0001 | ETA 02:58:44 2020-12-17 03:02:45 [INFO] [TRAIN] epoch=163, iter=60590/80000, loss=0.1633, lr=0.002796, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:55:15 2020-12-17 03:02:50 [INFO] [TRAIN] epoch=163, iter=60600/80000, loss=0.1780, lr=0.002794, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:53:30 2020-12-17 03:02:56 [INFO] [TRAIN] epoch=163, iter=60610/80000, loss=0.2040, lr=0.002793, batch_cost=0.5350, reader_cost=0.0002 | ETA 02:52:53 2020-12-17 03:03:01 [INFO] [TRAIN] epoch=163, iter=60620/80000, loss=0.2277, lr=0.002792, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:55:52 2020-12-17 03:03:07 [INFO] [TRAIN] epoch=163, iter=60630/80000, loss=0.2156, lr=0.002790, batch_cost=0.5570, reader_cost=0.0001 | ETA 02:59:49 2020-12-17 03:03:13 [INFO] [TRAIN] epoch=164, iter=60640/80000, loss=0.1732, lr=0.002789, batch_cost=0.5872, reader_cost=0.0556 | ETA 03:09:28 2020-12-17 03:03:18 [INFO] [TRAIN] epoch=164, iter=60650/80000, loss=0.1625, lr=0.002788, batch_cost=0.5589, reader_cost=0.0001 | ETA 03:00:13 2020-12-17 03:03:24 [INFO] [TRAIN] epoch=164, iter=60660/80000, loss=0.1540, lr=0.002786, batch_cost=0.5800, reader_cost=0.0001 | ETA 03:06:57 2020-12-17 03:03:29 [INFO] [TRAIN] epoch=164, iter=60670/80000, loss=0.1988, lr=0.002785, batch_cost=0.5318, reader_cost=0.0001 | ETA 02:51:19 2020-12-17 03:03:35 [INFO] [TRAIN] epoch=164, iter=60680/80000, loss=0.1548, lr=0.002784, batch_cost=0.5474, reader_cost=0.0001 | ETA 02:56:15 2020-12-17 03:03:40 [INFO] [TRAIN] epoch=164, iter=60690/80000, loss=0.1379, lr=0.002783, batch_cost=0.5314, reader_cost=0.0001 | ETA 02:51:01 2020-12-17 03:03:45 [INFO] [TRAIN] epoch=164, iter=60700/80000, loss=0.1570, lr=0.002781, batch_cost=0.5341, reader_cost=0.0001 | ETA 02:51:48 2020-12-17 03:03:51 [INFO] [TRAIN] epoch=164, iter=60710/80000, loss=0.1803, lr=0.002780, batch_cost=0.5377, reader_cost=0.0001 | ETA 02:52:52 2020-12-17 03:03:56 [INFO] [TRAIN] epoch=164, iter=60720/80000, loss=0.1846, lr=0.002779, batch_cost=0.5513, reader_cost=0.0001 | ETA 02:57:09 2020-12-17 03:04:02 [INFO] [TRAIN] epoch=164, iter=60730/80000, loss=0.1600, lr=0.002777, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:53:45 2020-12-17 03:04:07 [INFO] [TRAIN] epoch=164, iter=60740/80000, loss=0.1829, lr=0.002776, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:52:42 2020-12-17 03:04:13 [INFO] [TRAIN] epoch=164, iter=60750/80000, loss=0.1372, lr=0.002775, batch_cost=0.5452, reader_cost=0.0002 | ETA 02:54:54 2020-12-17 03:04:18 [INFO] [TRAIN] epoch=164, iter=60760/80000, loss=0.1628, lr=0.002773, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:52:53 2020-12-17 03:04:23 [INFO] [TRAIN] epoch=164, iter=60770/80000, loss=0.1427, lr=0.002772, batch_cost=0.5464, reader_cost=0.0001 | ETA 02:55:07 2020-12-17 03:04:29 [INFO] [TRAIN] epoch=164, iter=60780/80000, loss=0.1776, lr=0.002771, batch_cost=0.5306, reader_cost=0.0002 | ETA 02:49:59 2020-12-17 03:04:34 [INFO] [TRAIN] epoch=164, iter=60790/80000, loss=0.1828, lr=0.002770, batch_cost=0.5489, reader_cost=0.0002 | ETA 02:55:43 2020-12-17 03:04:40 [INFO] [TRAIN] epoch=164, iter=60800/80000, loss=0.2101, lr=0.002768, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:52:30 2020-12-17 03:04:45 [INFO] [TRAIN] epoch=164, iter=60810/80000, loss=0.1636, lr=0.002767, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:51:08 2020-12-17 03:04:50 [INFO] [TRAIN] epoch=164, iter=60820/80000, loss=0.2007, lr=0.002766, batch_cost=0.5453, reader_cost=0.0001 | ETA 02:54:18 2020-12-17 03:04:56 [INFO] [TRAIN] epoch=164, iter=60830/80000, loss=0.1933, lr=0.002764, batch_cost=0.5466, reader_cost=0.0001 | ETA 02:54:38 2020-12-17 03:05:01 [INFO] [TRAIN] epoch=164, iter=60840/80000, loss=0.1463, lr=0.002763, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:52:59 2020-12-17 03:05:07 [INFO] [TRAIN] epoch=164, iter=60850/80000, loss=0.1566, lr=0.002762, batch_cost=0.5315, reader_cost=0.0001 | ETA 02:49:38 2020-12-17 03:05:12 [INFO] [TRAIN] epoch=164, iter=60860/80000, loss=0.1792, lr=0.002760, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:52:15 2020-12-17 03:05:17 [INFO] [TRAIN] epoch=164, iter=60870/80000, loss=0.1075, lr=0.002759, batch_cost=0.5326, reader_cost=0.0001 | ETA 02:49:49 2020-12-17 03:05:23 [INFO] [TRAIN] epoch=164, iter=60880/80000, loss=0.1827, lr=0.002758, batch_cost=0.5450, reader_cost=0.0001 | ETA 02:53:40 2020-12-17 03:05:28 [INFO] [TRAIN] epoch=164, iter=60890/80000, loss=0.1227, lr=0.002757, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:52:47 2020-12-17 03:05:34 [INFO] [TRAIN] epoch=164, iter=60900/80000, loss=0.1651, lr=0.002755, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:51:31 2020-12-17 03:05:39 [INFO] [TRAIN] epoch=164, iter=60910/80000, loss=0.1988, lr=0.002754, batch_cost=0.5403, reader_cost=0.0002 | ETA 02:51:54 2020-12-17 03:05:44 [INFO] [TRAIN] epoch=164, iter=60920/80000, loss=0.1811, lr=0.002753, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:52:08 2020-12-17 03:05:50 [INFO] [TRAIN] epoch=164, iter=60930/80000, loss=0.1285, lr=0.002751, batch_cost=0.5561, reader_cost=0.0001 | ETA 02:56:45 2020-12-17 03:05:56 [INFO] [TRAIN] epoch=164, iter=60940/80000, loss=0.1470, lr=0.002750, batch_cost=0.5495, reader_cost=0.0001 | ETA 02:54:32 2020-12-17 03:06:01 [INFO] [TRAIN] epoch=164, iter=60950/80000, loss=0.1407, lr=0.002749, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:51:03 2020-12-17 03:06:06 [INFO] [TRAIN] epoch=164, iter=60960/80000, loss=0.1586, lr=0.002748, batch_cost=0.5496, reader_cost=0.0001 | ETA 02:54:23 2020-12-17 03:06:12 [INFO] [TRAIN] epoch=164, iter=60970/80000, loss=0.1597, lr=0.002746, batch_cost=0.5491, reader_cost=0.0001 | ETA 02:54:09 2020-12-17 03:06:17 [INFO] [TRAIN] epoch=164, iter=60980/80000, loss=0.1656, lr=0.002745, batch_cost=0.5434, reader_cost=0.0001 | ETA 02:52:15 2020-12-17 03:06:23 [INFO] [TRAIN] epoch=164, iter=60990/80000, loss=0.1728, lr=0.002744, batch_cost=0.5406, reader_cost=0.0026 | ETA 02:51:17 2020-12-17 03:06:28 [INFO] [TRAIN] epoch=164, iter=61000/80000, loss=0.1917, lr=0.002742, batch_cost=0.5615, reader_cost=0.0002 | ETA 02:57:47 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:06:28 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 03:07:03 [INFO] [EVAL] #Images=500 mIoU=0.7776 Acc=0.9596 Kappa=0.9476 2020-12-17 03:07:03 [INFO] [EVAL] Class IoU: [0.9814 0.8501 0.921 0.5504 0.5939 0.5932 0.6957 0.7768 0.923 0.6688 0.9459 0.8111 0.6218 0.9478 0.8346 0.8729 0.771 0.6442 0.7713] 2020-12-17 03:07:03 [INFO] [EVAL] Class Acc: [0.9919 0.918 0.9491 0.8475 0.8399 0.7848 0.8322 0.8975 0.9548 0.8375 0.9658 0.8788 0.7823 0.9729 0.9411 0.9482 0.9087 0.8363 0.8542] 2020-12-17 03:07:07 [INFO] [EVAL] The model with the best validation mIoU (0.7844) was saved at iter 60000. 2020-12-17 03:07:12 [INFO] [TRAIN] epoch=165, iter=61010/80000, loss=0.1170, lr=0.002741, batch_cost=0.5852, reader_cost=0.0598 | ETA 03:05:12 2020-12-17 03:07:18 [INFO] [TRAIN] epoch=165, iter=61020/80000, loss=0.1492, lr=0.002740, batch_cost=0.5622, reader_cost=0.0001 | ETA 02:57:51 2020-12-17 03:07:24 [INFO] [TRAIN] epoch=165, iter=61030/80000, loss=0.1605, lr=0.002738, batch_cost=0.5683, reader_cost=0.0002 | ETA 02:59:40 2020-12-17 03:07:29 [INFO] [TRAIN] epoch=165, iter=61040/80000, loss=0.1791, lr=0.002737, batch_cost=0.5537, reader_cost=0.0001 | ETA 02:54:58 2020-12-17 03:07:35 [INFO] [TRAIN] epoch=165, iter=61050/80000, loss=0.1634, lr=0.002736, batch_cost=0.5476, reader_cost=0.0003 | ETA 02:52:57 2020-12-17 03:07:40 [INFO] [TRAIN] epoch=165, iter=61060/80000, loss=0.1502, lr=0.002735, batch_cost=0.5623, reader_cost=0.0001 | ETA 02:57:30 2020-12-17 03:07:46 [INFO] [TRAIN] epoch=165, iter=61070/80000, loss=0.1341, lr=0.002733, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:51:05 2020-12-17 03:07:51 [INFO] [TRAIN] epoch=165, iter=61080/80000, loss=0.1822, lr=0.002732, batch_cost=0.5459, reader_cost=0.0001 | ETA 02:52:07 2020-12-17 03:07:57 [INFO] [TRAIN] epoch=165, iter=61090/80000, loss=0.1358, lr=0.002731, batch_cost=0.5564, reader_cost=0.0001 | ETA 02:55:20 2020-12-17 03:08:02 [INFO] [TRAIN] epoch=165, iter=61100/80000, loss=0.2148, lr=0.002729, batch_cost=0.5433, reader_cost=0.0001 | ETA 02:51:09 2020-12-17 03:08:08 [INFO] [TRAIN] epoch=165, iter=61110/80000, loss=0.1484, lr=0.002728, batch_cost=0.5508, reader_cost=0.0001 | ETA 02:53:23 2020-12-17 03:08:13 [INFO] [TRAIN] epoch=165, iter=61120/80000, loss=0.1545, lr=0.002727, batch_cost=0.5412, reader_cost=0.0011 | ETA 02:50:18 2020-12-17 03:08:19 [INFO] [TRAIN] epoch=165, iter=61130/80000, loss=0.2079, lr=0.002725, batch_cost=0.5478, reader_cost=0.0001 | ETA 02:52:17 2020-12-17 03:08:24 [INFO] [TRAIN] epoch=165, iter=61140/80000, loss=0.1979, lr=0.002724, batch_cost=0.5579, reader_cost=0.0001 | ETA 02:55:21 2020-12-17 03:08:30 [INFO] [TRAIN] epoch=165, iter=61150/80000, loss=0.1576, lr=0.002723, batch_cost=0.5479, reader_cost=0.0003 | ETA 02:52:08 2020-12-17 03:08:35 [INFO] [TRAIN] epoch=165, iter=61160/80000, loss=0.2151, lr=0.002722, batch_cost=0.5522, reader_cost=0.0001 | ETA 02:53:23 2020-12-17 03:08:41 [INFO] [TRAIN] epoch=165, iter=61170/80000, loss=0.2102, lr=0.002720, batch_cost=0.5490, reader_cost=0.0002 | ETA 02:52:17 2020-12-17 03:08:46 [INFO] [TRAIN] epoch=165, iter=61180/80000, loss=0.1367, lr=0.002719, batch_cost=0.5604, reader_cost=0.0001 | ETA 02:55:46 2020-12-17 03:08:52 [INFO] [TRAIN] epoch=165, iter=61190/80000, loss=0.1786, lr=0.002718, batch_cost=0.5659, reader_cost=0.0001 | ETA 02:57:25 2020-12-17 03:08:58 [INFO] [TRAIN] epoch=165, iter=61200/80000, loss=0.1389, lr=0.002716, batch_cost=0.5594, reader_cost=0.0001 | ETA 02:55:17 2020-12-17 03:09:03 [INFO] [TRAIN] epoch=165, iter=61210/80000, loss=0.1142, lr=0.002715, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:48:51 2020-12-17 03:09:08 [INFO] [TRAIN] epoch=165, iter=61220/80000, loss=0.2129, lr=0.002714, batch_cost=0.5434, reader_cost=0.0001 | ETA 02:50:04 2020-12-17 03:09:14 [INFO] [TRAIN] epoch=165, iter=61230/80000, loss=0.1644, lr=0.002712, batch_cost=0.5317, reader_cost=0.0001 | ETA 02:46:20 2020-12-17 03:09:19 [INFO] [TRAIN] epoch=165, iter=61240/80000, loss=0.1669, lr=0.002711, batch_cost=0.5451, reader_cost=0.0003 | ETA 02:50:26 2020-12-17 03:09:25 [INFO] [TRAIN] epoch=165, iter=61250/80000, loss=0.2048, lr=0.002710, batch_cost=0.5520, reader_cost=0.0001 | ETA 02:52:30 2020-12-17 03:09:30 [INFO] [TRAIN] epoch=165, iter=61260/80000, loss=0.2409, lr=0.002709, batch_cost=0.5459, reader_cost=0.0001 | ETA 02:50:29 2020-12-17 03:09:36 [INFO] [TRAIN] epoch=165, iter=61270/80000, loss=0.1917, lr=0.002707, batch_cost=0.5442, reader_cost=0.0001 | ETA 02:49:52 2020-12-17 03:09:41 [INFO] [TRAIN] epoch=165, iter=61280/80000, loss=0.1693, lr=0.002706, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:47:47 2020-12-17 03:09:46 [INFO] [TRAIN] epoch=165, iter=61290/80000, loss=0.1965, lr=0.002705, batch_cost=0.5490, reader_cost=0.0001 | ETA 02:51:12 2020-12-17 03:09:52 [INFO] [TRAIN] epoch=165, iter=61300/80000, loss=0.1578, lr=0.002703, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:49:11 2020-12-17 03:09:57 [INFO] [TRAIN] epoch=165, iter=61310/80000, loss=0.1517, lr=0.002702, batch_cost=0.5426, reader_cost=0.0012 | ETA 02:49:01 2020-12-17 03:10:03 [INFO] [TRAIN] epoch=165, iter=61320/80000, loss=0.1505, lr=0.002701, batch_cost=0.5388, reader_cost=0.0010 | ETA 02:47:45 2020-12-17 03:10:08 [INFO] [TRAIN] epoch=165, iter=61330/80000, loss=0.1702, lr=0.002699, batch_cost=0.5620, reader_cost=0.0001 | ETA 02:54:52 2020-12-17 03:10:14 [INFO] [TRAIN] epoch=165, iter=61340/80000, loss=0.1587, lr=0.002698, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:48:11 2020-12-17 03:10:19 [INFO] [TRAIN] epoch=165, iter=61350/80000, loss=0.2838, lr=0.002697, batch_cost=0.5520, reader_cost=0.0002 | ETA 02:51:34 2020-12-17 03:10:25 [INFO] [TRAIN] epoch=165, iter=61360/80000, loss=0.1455, lr=0.002696, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:47:56 2020-12-17 03:10:30 [INFO] [TRAIN] epoch=165, iter=61370/80000, loss=0.2252, lr=0.002694, batch_cost=0.5530, reader_cost=0.0002 | ETA 02:51:43 2020-12-17 03:10:35 [INFO] [TRAIN] epoch=165, iter=61380/80000, loss=0.1657, lr=0.002693, batch_cost=0.5106, reader_cost=0.0001 | ETA 02:38:27 2020-12-17 03:10:42 [INFO] [TRAIN] epoch=166, iter=61390/80000, loss=0.1575, lr=0.002692, batch_cost=0.6627, reader_cost=0.0488 | ETA 03:25:32 2020-12-17 03:10:47 [INFO] [TRAIN] epoch=166, iter=61400/80000, loss=0.2220, lr=0.002690, batch_cost=0.5623, reader_cost=0.0001 | ETA 02:54:19 2020-12-17 03:10:53 [INFO] [TRAIN] epoch=166, iter=61410/80000, loss=0.1579, lr=0.002689, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:47:42 2020-12-17 03:10:58 [INFO] [TRAIN] epoch=166, iter=61420/80000, loss=0.2191, lr=0.002688, batch_cost=0.5574, reader_cost=0.0002 | ETA 02:52:35 2020-12-17 03:11:04 [INFO] [TRAIN] epoch=166, iter=61430/80000, loss=0.1876, lr=0.002686, batch_cost=0.5427, reader_cost=0.0001 | ETA 02:47:58 2020-12-17 03:11:09 [INFO] [TRAIN] epoch=166, iter=61440/80000, loss=0.1249, lr=0.002685, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:46:26 2020-12-17 03:11:15 [INFO] [TRAIN] epoch=166, iter=61450/80000, loss=0.1420, lr=0.002684, batch_cost=0.5543, reader_cost=0.0001 | ETA 02:51:21 2020-12-17 03:11:20 [INFO] [TRAIN] epoch=166, iter=61460/80000, loss=0.1538, lr=0.002682, batch_cost=0.5260, reader_cost=0.0001 | ETA 02:42:31 2020-12-17 03:11:26 [INFO] [TRAIN] epoch=166, iter=61470/80000, loss=0.1384, lr=0.002681, batch_cost=0.5457, reader_cost=0.0001 | ETA 02:48:31 2020-12-17 03:11:31 [INFO] [TRAIN] epoch=166, iter=61480/80000, loss=0.1553, lr=0.002680, batch_cost=0.5371, reader_cost=0.0001 | ETA 02:45:47 2020-12-17 03:11:36 [INFO] [TRAIN] epoch=166, iter=61490/80000, loss=0.1496, lr=0.002679, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:47:40 2020-12-17 03:11:42 [INFO] [TRAIN] epoch=166, iter=61500/80000, loss=0.1420, lr=0.002677, batch_cost=0.5446, reader_cost=0.0001 | ETA 02:47:55 2020-12-17 03:11:47 [INFO] [TRAIN] epoch=166, iter=61510/80000, loss=0.1576, lr=0.002676, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:45:54 2020-12-17 03:11:53 [INFO] [TRAIN] epoch=166, iter=61520/80000, loss=0.1500, lr=0.002675, batch_cost=0.5467, reader_cost=0.0001 | ETA 02:48:23 2020-12-17 03:11:58 [INFO] [TRAIN] epoch=166, iter=61530/80000, loss=0.1607, lr=0.002673, batch_cost=0.5416, reader_cost=0.0002 | ETA 02:46:43 2020-12-17 03:12:04 [INFO] [TRAIN] epoch=166, iter=61540/80000, loss=0.1798, lr=0.002672, batch_cost=0.5528, reader_cost=0.0002 | ETA 02:50:04 2020-12-17 03:12:09 [INFO] [TRAIN] epoch=166, iter=61550/80000, loss=0.1914, lr=0.002671, batch_cost=0.5541, reader_cost=0.0001 | ETA 02:50:23 2020-12-17 03:12:15 [INFO] [TRAIN] epoch=166, iter=61560/80000, loss=0.1788, lr=0.002669, batch_cost=0.5475, reader_cost=0.0003 | ETA 02:48:16 2020-12-17 03:12:20 [INFO] [TRAIN] epoch=166, iter=61570/80000, loss=0.1532, lr=0.002668, batch_cost=0.5517, reader_cost=0.0001 | ETA 02:49:28 2020-12-17 03:12:26 [INFO] [TRAIN] epoch=166, iter=61580/80000, loss=0.1680, lr=0.002667, batch_cost=0.5503, reader_cost=0.0001 | ETA 02:48:57 2020-12-17 03:12:31 [INFO] [TRAIN] epoch=166, iter=61590/80000, loss=0.1832, lr=0.002666, batch_cost=0.5528, reader_cost=0.0002 | ETA 02:49:37 2020-12-17 03:12:37 [INFO] [TRAIN] epoch=166, iter=61600/80000, loss=0.1742, lr=0.002664, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:45:31 2020-12-17 03:12:42 [INFO] [TRAIN] epoch=166, iter=61610/80000, loss=0.1578, lr=0.002663, batch_cost=0.5517, reader_cost=0.0001 | ETA 02:49:06 2020-12-17 03:12:48 [INFO] [TRAIN] epoch=166, iter=61620/80000, loss=0.2235, lr=0.002662, batch_cost=0.5561, reader_cost=0.0002 | ETA 02:50:20 2020-12-17 03:12:53 [INFO] [TRAIN] epoch=166, iter=61630/80000, loss=0.1406, lr=0.002660, batch_cost=0.5447, reader_cost=0.0001 | ETA 02:46:46 2020-12-17 03:12:59 [INFO] [TRAIN] epoch=166, iter=61640/80000, loss=0.1375, lr=0.002659, batch_cost=0.5512, reader_cost=0.0001 | ETA 02:48:39 2020-12-17 03:13:04 [INFO] [TRAIN] epoch=166, iter=61650/80000, loss=0.1576, lr=0.002658, batch_cost=0.5490, reader_cost=0.0001 | ETA 02:47:54 2020-12-17 03:13:09 [INFO] [TRAIN] epoch=166, iter=61660/80000, loss=0.2194, lr=0.002656, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:43:49 2020-12-17 03:13:15 [INFO] [TRAIN] epoch=166, iter=61670/80000, loss=0.1654, lr=0.002655, batch_cost=0.5474, reader_cost=0.0001 | ETA 02:47:13 2020-12-17 03:13:20 [INFO] [TRAIN] epoch=166, iter=61680/80000, loss=0.1568, lr=0.002654, batch_cost=0.5477, reader_cost=0.0002 | ETA 02:47:13 2020-12-17 03:13:26 [INFO] [TRAIN] epoch=166, iter=61690/80000, loss=0.1815, lr=0.002653, batch_cost=0.5355, reader_cost=0.0002 | ETA 02:43:25 2020-12-17 03:13:31 [INFO] [TRAIN] epoch=166, iter=61700/80000, loss=0.1611, lr=0.002651, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:44:09 2020-12-17 03:13:36 [INFO] [TRAIN] epoch=166, iter=61710/80000, loss=0.1351, lr=0.002650, batch_cost=0.5328, reader_cost=0.0001 | ETA 02:42:24 2020-12-17 03:13:42 [INFO] [TRAIN] epoch=166, iter=61720/80000, loss=0.1586, lr=0.002649, batch_cost=0.5311, reader_cost=0.0001 | ETA 02:41:47 2020-12-17 03:13:47 [INFO] [TRAIN] epoch=166, iter=61730/80000, loss=0.1811, lr=0.002647, batch_cost=0.5473, reader_cost=0.0001 | ETA 02:46:38 2020-12-17 03:13:53 [INFO] [TRAIN] epoch=166, iter=61740/80000, loss=0.2198, lr=0.002646, batch_cost=0.5443, reader_cost=0.0001 | ETA 02:45:39 2020-12-17 03:13:58 [INFO] [TRAIN] epoch=166, iter=61750/80000, loss=0.1429, lr=0.002645, batch_cost=0.5173, reader_cost=0.0001 | ETA 02:37:21 2020-12-17 03:14:04 [INFO] [TRAIN] epoch=167, iter=61760/80000, loss=0.1560, lr=0.002643, batch_cost=0.6060, reader_cost=0.0572 | ETA 03:04:13 2020-12-17 03:14:09 [INFO] [TRAIN] epoch=167, iter=61770/80000, loss=0.2012, lr=0.002642, batch_cost=0.5473, reader_cost=0.0001 | ETA 02:46:18 2020-12-17 03:14:15 [INFO] [TRAIN] epoch=167, iter=61780/80000, loss=0.1475, lr=0.002641, batch_cost=0.5820, reader_cost=0.0002 | ETA 02:56:44 2020-12-17 03:14:21 [INFO] [TRAIN] epoch=167, iter=61790/80000, loss=0.1427, lr=0.002639, batch_cost=0.5457, reader_cost=0.0003 | ETA 02:45:37 2020-12-17 03:14:26 [INFO] [TRAIN] epoch=167, iter=61800/80000, loss=0.1690, lr=0.002638, batch_cost=0.5601, reader_cost=0.0001 | ETA 02:49:54 2020-12-17 03:14:32 [INFO] [TRAIN] epoch=167, iter=61810/80000, loss=0.1354, lr=0.002637, batch_cost=0.5335, reader_cost=0.0003 | ETA 02:41:45 2020-12-17 03:14:37 [INFO] [TRAIN] epoch=167, iter=61820/80000, loss=0.1882, lr=0.002636, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:42:27 2020-12-17 03:14:42 [INFO] [TRAIN] epoch=167, iter=61830/80000, loss=0.1501, lr=0.002634, batch_cost=0.5411, reader_cost=0.0003 | ETA 02:43:51 2020-12-17 03:14:48 [INFO] [TRAIN] epoch=167, iter=61840/80000, loss=0.1428, lr=0.002633, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:44:20 2020-12-17 03:14:53 [INFO] [TRAIN] epoch=167, iter=61850/80000, loss=0.1561, lr=0.002632, batch_cost=0.5418, reader_cost=0.0002 | ETA 02:43:54 2020-12-17 03:14:59 [INFO] [TRAIN] epoch=167, iter=61860/80000, loss=0.1336, lr=0.002630, batch_cost=0.5349, reader_cost=0.0002 | ETA 02:41:42 2020-12-17 03:15:04 [INFO] [TRAIN] epoch=167, iter=61870/80000, loss=0.1726, lr=0.002629, batch_cost=0.5340, reader_cost=0.0002 | ETA 02:41:22 2020-12-17 03:15:09 [INFO] [TRAIN] epoch=167, iter=61880/80000, loss=0.1359, lr=0.002628, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:42:21 2020-12-17 03:15:15 [INFO] [TRAIN] epoch=167, iter=61890/80000, loss=0.1344, lr=0.002626, batch_cost=0.5538, reader_cost=0.0002 | ETA 02:47:09 2020-12-17 03:15:20 [INFO] [TRAIN] epoch=167, iter=61900/80000, loss=0.1573, lr=0.002625, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:42:49 2020-12-17 03:15:26 [INFO] [TRAIN] epoch=167, iter=61910/80000, loss=0.1507, lr=0.002624, batch_cost=0.5420, reader_cost=0.0001 | ETA 02:43:25 2020-12-17 03:15:31 [INFO] [TRAIN] epoch=167, iter=61920/80000, loss=0.1598, lr=0.002623, batch_cost=0.5447, reader_cost=0.0001 | ETA 02:44:07 2020-12-17 03:15:37 [INFO] [TRAIN] epoch=167, iter=61930/80000, loss=0.1909, lr=0.002621, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:42:56 2020-12-17 03:15:42 [INFO] [TRAIN] epoch=167, iter=61940/80000, loss=0.1137, lr=0.002620, batch_cost=0.5463, reader_cost=0.0001 | ETA 02:44:25 2020-12-17 03:15:47 [INFO] [TRAIN] epoch=167, iter=61950/80000, loss=0.1300, lr=0.002619, batch_cost=0.5341, reader_cost=0.0001 | ETA 02:40:41 2020-12-17 03:15:53 [INFO] [TRAIN] epoch=167, iter=61960/80000, loss=0.1718, lr=0.002617, batch_cost=0.5424, reader_cost=0.0001 | ETA 02:43:04 2020-12-17 03:15:58 [INFO] [TRAIN] epoch=167, iter=61970/80000, loss=0.2027, lr=0.002616, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:41:20 2020-12-17 03:16:04 [INFO] [TRAIN] epoch=167, iter=61980/80000, loss=0.1708, lr=0.002615, batch_cost=0.5370, reader_cost=0.0001 | ETA 02:41:15 2020-12-17 03:16:09 [INFO] [TRAIN] epoch=167, iter=61990/80000, loss=0.1745, lr=0.002613, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:42:11 2020-12-17 03:16:14 [INFO] [TRAIN] epoch=167, iter=62000/80000, loss=0.1663, lr=0.002612, batch_cost=0.5345, reader_cost=0.0001 | ETA 02:40:20 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-17 03:16:14 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 03:16:48 [INFO] [EVAL] #Images=500 mIoU=0.7788 Acc=0.9598 Kappa=0.9477 2020-12-17 03:16:48 [INFO] [EVAL] Class IoU: [0.9819 0.8534 0.9201 0.5293 0.6004 0.5833 0.6994 0.7742 0.9225 0.6659 0.9466 0.8126 0.6226 0.949 0.8556 0.876 0.7825 0.6521 0.7701] 2020-12-17 03:16:48 [INFO] [EVAL] Class Acc: [0.9914 0.9219 0.9478 0.8502 0.8153 0.8132 0.8331 0.9037 0.9518 0.864 0.9689 0.8896 0.8081 0.9739 0.9439 0.9344 0.9518 0.8417 0.8423] 2020-12-17 03:16:52 [INFO] [EVAL] The model with the best validation mIoU (0.7844) was saved at iter 60000. 2020-12-17 03:16:57 [INFO] [TRAIN] epoch=167, iter=62010/80000, loss=0.1470, lr=0.002611, batch_cost=0.5303, reader_cost=0.0001 | ETA 02:38:59 2020-12-17 03:17:02 [INFO] [TRAIN] epoch=167, iter=62020/80000, loss=0.1302, lr=0.002609, batch_cost=0.5454, reader_cost=0.0001 | ETA 02:43:25 2020-12-17 03:17:08 [INFO] [TRAIN] epoch=167, iter=62030/80000, loss=0.1867, lr=0.002608, batch_cost=0.5401, reader_cost=0.0001 | ETA 02:41:45 2020-12-17 03:17:13 [INFO] [TRAIN] epoch=167, iter=62040/80000, loss=0.1564, lr=0.002607, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:41:53 2020-12-17 03:17:19 [INFO] [TRAIN] epoch=167, iter=62050/80000, loss=0.1973, lr=0.002606, batch_cost=0.5497, reader_cost=0.0001 | ETA 02:44:27 2020-12-17 03:17:24 [INFO] [TRAIN] epoch=167, iter=62060/80000, loss=0.1954, lr=0.002604, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:42:30 2020-12-17 03:17:30 [INFO] [TRAIN] epoch=167, iter=62070/80000, loss=0.1157, lr=0.002603, batch_cost=0.5497, reader_cost=0.0002 | ETA 02:44:15 2020-12-17 03:17:35 [INFO] [TRAIN] epoch=167, iter=62080/80000, loss=0.1386, lr=0.002602, batch_cost=0.5457, reader_cost=0.0002 | ETA 02:42:59 2020-12-17 03:17:40 [INFO] [TRAIN] epoch=167, iter=62090/80000, loss=0.1434, lr=0.002600, batch_cost=0.5360, reader_cost=0.0001 | ETA 02:40:00 2020-12-17 03:17:46 [INFO] [TRAIN] epoch=167, iter=62100/80000, loss=0.1706, lr=0.002599, batch_cost=0.5355, reader_cost=0.0008 | ETA 02:39:44 2020-12-17 03:17:51 [INFO] [TRAIN] epoch=167, iter=62110/80000, loss=0.1745, lr=0.002598, batch_cost=0.5347, reader_cost=0.0001 | ETA 02:39:26 2020-12-17 03:17:57 [INFO] [TRAIN] epoch=167, iter=62120/80000, loss=0.2508, lr=0.002596, batch_cost=0.5336, reader_cost=0.0006 | ETA 02:39:01 2020-12-17 03:18:03 [INFO] [TRAIN] epoch=168, iter=62130/80000, loss=0.1792, lr=0.002595, batch_cost=0.6048, reader_cost=0.0543 | ETA 03:00:07 2020-12-17 03:18:08 [INFO] [TRAIN] epoch=168, iter=62140/80000, loss=0.1798, lr=0.002594, batch_cost=0.5674, reader_cost=0.0002 | ETA 02:48:53 2020-12-17 03:18:14 [INFO] [TRAIN] epoch=168, iter=62150/80000, loss=0.1565, lr=0.002592, batch_cost=0.5651, reader_cost=0.0002 | ETA 02:48:07 2020-12-17 03:18:19 [INFO] [TRAIN] epoch=168, iter=62160/80000, loss=0.1442, lr=0.002591, batch_cost=0.5281, reader_cost=0.0001 | ETA 02:37:01 2020-12-17 03:18:24 [INFO] [TRAIN] epoch=168, iter=62170/80000, loss=0.1414, lr=0.002590, batch_cost=0.5338, reader_cost=0.0001 | ETA 02:38:37 2020-12-17 03:18:30 [INFO] [TRAIN] epoch=168, iter=62180/80000, loss=0.1775, lr=0.002589, batch_cost=0.5631, reader_cost=0.0001 | ETA 02:47:14 2020-12-17 03:18:35 [INFO] [TRAIN] epoch=168, iter=62190/80000, loss=0.1388, lr=0.002587, batch_cost=0.5366, reader_cost=0.0003 | ETA 02:39:16 2020-12-17 03:18:41 [INFO] [TRAIN] epoch=168, iter=62200/80000, loss=0.2379, lr=0.002586, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:40:21 2020-12-17 03:18:47 [INFO] [TRAIN] epoch=168, iter=62210/80000, loss=0.1750, lr=0.002585, batch_cost=0.5655, reader_cost=0.0001 | ETA 02:47:39 2020-12-17 03:18:52 [INFO] [TRAIN] epoch=168, iter=62220/80000, loss=0.1271, lr=0.002583, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:40:07 2020-12-17 03:18:57 [INFO] [TRAIN] epoch=168, iter=62230/80000, loss=0.1456, lr=0.002582, batch_cost=0.5314, reader_cost=0.0001 | ETA 02:37:23 2020-12-17 03:19:03 [INFO] [TRAIN] epoch=168, iter=62240/80000, loss=0.1181, lr=0.002581, batch_cost=0.5465, reader_cost=0.0001 | ETA 02:41:46 2020-12-17 03:19:08 [INFO] [TRAIN] epoch=168, iter=62250/80000, loss=0.1689, lr=0.002579, batch_cost=0.5248, reader_cost=0.0001 | ETA 02:35:14 2020-12-17 03:19:14 [INFO] [TRAIN] epoch=168, iter=62260/80000, loss=0.1554, lr=0.002578, batch_cost=0.5601, reader_cost=0.0001 | ETA 02:45:35 2020-12-17 03:19:19 [INFO] [TRAIN] epoch=168, iter=62270/80000, loss=0.1473, lr=0.002577, batch_cost=0.5306, reader_cost=0.0001 | ETA 02:36:47 2020-12-17 03:19:24 [INFO] [TRAIN] epoch=168, iter=62280/80000, loss=0.1364, lr=0.002575, batch_cost=0.5570, reader_cost=0.0001 | ETA 02:44:29 2020-12-17 03:19:30 [INFO] [TRAIN] epoch=168, iter=62290/80000, loss=0.1312, lr=0.002574, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:39:17 2020-12-17 03:19:35 [INFO] [TRAIN] epoch=168, iter=62300/80000, loss=0.1426, lr=0.002573, batch_cost=0.5432, reader_cost=0.0001 | ETA 02:40:14 2020-12-17 03:19:41 [INFO] [TRAIN] epoch=168, iter=62310/80000, loss=0.1722, lr=0.002572, batch_cost=0.5481, reader_cost=0.0001 | ETA 02:41:35 2020-12-17 03:19:46 [INFO] [TRAIN] epoch=168, iter=62320/80000, loss=0.1843, lr=0.002570, batch_cost=0.5342, reader_cost=0.0001 | ETA 02:37:23 2020-12-17 03:19:52 [INFO] [TRAIN] epoch=168, iter=62330/80000, loss=0.1553, lr=0.002569, batch_cost=0.5609, reader_cost=0.0001 | ETA 02:45:11 2020-12-17 03:19:57 [INFO] [TRAIN] epoch=168, iter=62340/80000, loss=0.1707, lr=0.002568, batch_cost=0.5453, reader_cost=0.0001 | ETA 02:40:29 2020-12-17 03:20:03 [INFO] [TRAIN] epoch=168, iter=62350/80000, loss=0.1755, lr=0.002566, batch_cost=0.5473, reader_cost=0.0001 | ETA 02:41:00 2020-12-17 03:20:08 [INFO] [TRAIN] epoch=168, iter=62360/80000, loss=0.1660, lr=0.002565, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:39:05 2020-12-17 03:20:14 [INFO] [TRAIN] epoch=168, iter=62370/80000, loss=0.1836, lr=0.002564, batch_cost=0.5621, reader_cost=0.0001 | ETA 02:45:09 2020-12-17 03:20:19 [INFO] [TRAIN] epoch=168, iter=62380/80000, loss=0.1871, lr=0.002562, batch_cost=0.5322, reader_cost=0.0001 | ETA 02:36:16 2020-12-17 03:20:24 [INFO] [TRAIN] epoch=168, iter=62390/80000, loss=0.2624, lr=0.002561, batch_cost=0.5380, reader_cost=0.0001 | ETA 02:37:54 2020-12-17 03:20:30 [INFO] [TRAIN] epoch=168, iter=62400/80000, loss=0.1385, lr=0.002560, batch_cost=0.5479, reader_cost=0.0002 | ETA 02:40:43 2020-12-17 03:20:35 [INFO] [TRAIN] epoch=168, iter=62410/80000, loss=0.1958, lr=0.002558, batch_cost=0.5272, reader_cost=0.0001 | ETA 02:34:33 2020-12-17 03:20:41 [INFO] [TRAIN] epoch=168, iter=62420/80000, loss=0.1521, lr=0.002557, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:38:41 2020-12-17 03:20:46 [INFO] [TRAIN] epoch=168, iter=62430/80000, loss=0.1595, lr=0.002556, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:38:08 2020-12-17 03:20:51 [INFO] [TRAIN] epoch=168, iter=62440/80000, loss=0.1401, lr=0.002555, batch_cost=0.5495, reader_cost=0.0003 | ETA 02:40:48 2020-12-17 03:20:57 [INFO] [TRAIN] epoch=168, iter=62450/80000, loss=0.1409, lr=0.002553, batch_cost=0.5316, reader_cost=0.0001 | ETA 02:35:29 2020-12-17 03:21:02 [INFO] [TRAIN] epoch=168, iter=62460/80000, loss=0.2054, lr=0.002552, batch_cost=0.5401, reader_cost=0.0001 | ETA 02:37:53 2020-12-17 03:21:08 [INFO] [TRAIN] epoch=168, iter=62470/80000, loss=0.1657, lr=0.002551, batch_cost=0.5573, reader_cost=0.0002 | ETA 02:42:50 2020-12-17 03:21:13 [INFO] [TRAIN] epoch=168, iter=62480/80000, loss=0.1714, lr=0.002549, batch_cost=0.5576, reader_cost=0.0003 | ETA 02:42:49 2020-12-17 03:21:19 [INFO] [TRAIN] epoch=168, iter=62490/80000, loss=0.1752, lr=0.002548, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:37:51 2020-12-17 03:21:25 [INFO] [TRAIN] epoch=169, iter=62500/80000, loss=0.1875, lr=0.002547, batch_cost=0.6141, reader_cost=0.0587 | ETA 02:59:06 2020-12-17 03:21:31 [INFO] [TRAIN] epoch=169, iter=62510/80000, loss=0.1320, lr=0.002545, batch_cost=0.5625, reader_cost=0.0001 | ETA 02:43:58 2020-12-17 03:21:36 [INFO] [TRAIN] epoch=169, iter=62520/80000, loss=0.1970, lr=0.002544, batch_cost=0.5545, reader_cost=0.0001 | ETA 02:41:33 2020-12-17 03:21:42 [INFO] [TRAIN] epoch=169, iter=62530/80000, loss=0.1860, lr=0.002543, batch_cost=0.5571, reader_cost=0.0001 | ETA 02:42:12 2020-12-17 03:21:47 [INFO] [TRAIN] epoch=169, iter=62540/80000, loss=0.1445, lr=0.002541, batch_cost=0.5438, reader_cost=0.0002 | ETA 02:38:14 2020-12-17 03:21:53 [INFO] [TRAIN] epoch=169, iter=62550/80000, loss=0.1244, lr=0.002540, batch_cost=0.5471, reader_cost=0.0001 | ETA 02:39:06 2020-12-17 03:21:58 [INFO] [TRAIN] epoch=169, iter=62560/80000, loss=0.2210, lr=0.002539, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:37:26 2020-12-17 03:22:03 [INFO] [TRAIN] epoch=169, iter=62570/80000, loss=0.2241, lr=0.002538, batch_cost=0.5491, reader_cost=0.0001 | ETA 02:39:29 2020-12-17 03:22:09 [INFO] [TRAIN] epoch=169, iter=62580/80000, loss=0.1854, lr=0.002536, batch_cost=0.5516, reader_cost=0.0002 | ETA 02:40:09 2020-12-17 03:22:14 [INFO] [TRAIN] epoch=169, iter=62590/80000, loss=0.1679, lr=0.002535, batch_cost=0.5419, reader_cost=0.0001 | ETA 02:37:13 2020-12-17 03:22:20 [INFO] [TRAIN] epoch=169, iter=62600/80000, loss=0.2583, lr=0.002534, batch_cost=0.5510, reader_cost=0.0001 | ETA 02:39:47 2020-12-17 03:22:25 [INFO] [TRAIN] epoch=169, iter=62610/80000, loss=0.1411, lr=0.002532, batch_cost=0.5467, reader_cost=0.0001 | ETA 02:38:27 2020-12-17 03:22:31 [INFO] [TRAIN] epoch=169, iter=62620/80000, loss=0.1297, lr=0.002531, batch_cost=0.5350, reader_cost=0.0002 | ETA 02:34:57 2020-12-17 03:22:36 [INFO] [TRAIN] epoch=169, iter=62630/80000, loss=0.1547, lr=0.002530, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:36:37 2020-12-17 03:22:42 [INFO] [TRAIN] epoch=169, iter=62640/80000, loss=0.1715, lr=0.002528, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:37:22 2020-12-17 03:22:47 [INFO] [TRAIN] epoch=169, iter=62650/80000, loss=0.1725, lr=0.002527, batch_cost=0.5490, reader_cost=0.0003 | ETA 02:38:44 2020-12-17 03:22:52 [INFO] [TRAIN] epoch=169, iter=62660/80000, loss=0.1793, lr=0.002526, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:37:21 2020-12-17 03:22:58 [INFO] [TRAIN] epoch=169, iter=62670/80000, loss=0.1949, lr=0.002524, batch_cost=0.5455, reader_cost=0.0003 | ETA 02:37:33 2020-12-17 03:23:03 [INFO] [TRAIN] epoch=169, iter=62680/80000, loss=0.1631, lr=0.002523, batch_cost=0.5491, reader_cost=0.0001 | ETA 02:38:29 2020-12-17 03:23:09 [INFO] [TRAIN] epoch=169, iter=62690/80000, loss=0.1694, lr=0.002522, batch_cost=0.5391, reader_cost=0.0003 | ETA 02:35:31 2020-12-17 03:23:14 [INFO] [TRAIN] epoch=169, iter=62700/80000, loss=0.1738, lr=0.002520, batch_cost=0.5537, reader_cost=0.0001 | ETA 02:39:38 2020-12-17 03:23:20 [INFO] [TRAIN] epoch=169, iter=62710/80000, loss=0.1590, lr=0.002519, batch_cost=0.5452, reader_cost=0.0001 | ETA 02:37:06 2020-12-17 03:23:25 [INFO] [TRAIN] epoch=169, iter=62720/80000, loss=0.1562, lr=0.002518, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:34:55 2020-12-17 03:23:31 [INFO] [TRAIN] epoch=169, iter=62730/80000, loss=0.1449, lr=0.002517, batch_cost=0.5570, reader_cost=0.0004 | ETA 02:40:18 2020-12-17 03:23:36 [INFO] [TRAIN] epoch=169, iter=62740/80000, loss=0.1631, lr=0.002515, batch_cost=0.5272, reader_cost=0.0002 | ETA 02:31:38 2020-12-17 03:23:42 [INFO] [TRAIN] epoch=169, iter=62750/80000, loss=0.1640, lr=0.002514, batch_cost=0.5558, reader_cost=0.0001 | ETA 02:39:47 2020-12-17 03:23:47 [INFO] [TRAIN] epoch=169, iter=62760/80000, loss=0.2249, lr=0.002513, batch_cost=0.5546, reader_cost=0.0001 | ETA 02:39:20 2020-12-17 03:23:53 [INFO] [TRAIN] epoch=169, iter=62770/80000, loss=0.1892, lr=0.002511, batch_cost=0.5487, reader_cost=0.0001 | ETA 02:37:33 2020-12-17 03:23:58 [INFO] [TRAIN] epoch=169, iter=62780/80000, loss=0.1376, lr=0.002510, batch_cost=0.5505, reader_cost=0.0002 | ETA 02:37:58 2020-12-17 03:24:04 [INFO] [TRAIN] epoch=169, iter=62790/80000, loss=0.1310, lr=0.002509, batch_cost=0.5551, reader_cost=0.0015 | ETA 02:39:14 2020-12-17 03:24:09 [INFO] [TRAIN] epoch=169, iter=62800/80000, loss=0.1445, lr=0.002507, batch_cost=0.5562, reader_cost=0.0004 | ETA 02:39:26 2020-12-17 03:24:15 [INFO] [TRAIN] epoch=169, iter=62810/80000, loss=0.1234, lr=0.002506, batch_cost=0.5381, reader_cost=0.0005 | ETA 02:34:10 2020-12-17 03:24:20 [INFO] [TRAIN] epoch=169, iter=62820/80000, loss=0.1580, lr=0.002505, batch_cost=0.5497, reader_cost=0.0002 | ETA 02:37:24 2020-12-17 03:24:25 [INFO] [TRAIN] epoch=169, iter=62830/80000, loss=0.1333, lr=0.002503, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:32:49 2020-12-17 03:24:31 [INFO] [TRAIN] epoch=169, iter=62840/80000, loss=0.1088, lr=0.002502, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:34:38 2020-12-17 03:24:36 [INFO] [TRAIN] epoch=169, iter=62850/80000, loss=0.2031, lr=0.002501, batch_cost=0.5444, reader_cost=0.0001 | ETA 02:35:36 2020-12-17 03:24:42 [INFO] [TRAIN] epoch=169, iter=62860/80000, loss=0.1472, lr=0.002499, batch_cost=0.5482, reader_cost=0.0001 | ETA 02:36:35 2020-12-17 03:24:48 [INFO] [TRAIN] epoch=170, iter=62870/80000, loss=0.1281, lr=0.002498, batch_cost=0.5754, reader_cost=0.0652 | ETA 02:44:15 2020-12-17 03:24:53 [INFO] [TRAIN] epoch=170, iter=62880/80000, loss=0.1196, lr=0.002497, batch_cost=0.5674, reader_cost=0.0005 | ETA 02:41:53 2020-12-17 03:24:59 [INFO] [TRAIN] epoch=170, iter=62890/80000, loss=0.1308, lr=0.002496, batch_cost=0.5516, reader_cost=0.0001 | ETA 02:37:18 2020-12-17 03:25:04 [INFO] [TRAIN] epoch=170, iter=62900/80000, loss=0.1543, lr=0.002494, batch_cost=0.5610, reader_cost=0.0001 | ETA 02:39:53 2020-12-17 03:25:10 [INFO] [TRAIN] epoch=170, iter=62910/80000, loss=0.1677, lr=0.002493, batch_cost=0.5473, reader_cost=0.0001 | ETA 02:35:52 2020-12-17 03:25:15 [INFO] [TRAIN] epoch=170, iter=62920/80000, loss=0.1653, lr=0.002492, batch_cost=0.5392, reader_cost=0.0002 | ETA 02:33:29 2020-12-17 03:25:21 [INFO] [TRAIN] epoch=170, iter=62930/80000, loss=0.1633, lr=0.002490, batch_cost=0.5510, reader_cost=0.0001 | ETA 02:36:46 2020-12-17 03:25:26 [INFO] [TRAIN] epoch=170, iter=62940/80000, loss=0.1594, lr=0.002489, batch_cost=0.5344, reader_cost=0.0001 | ETA 02:31:56 2020-12-17 03:25:31 [INFO] [TRAIN] epoch=170, iter=62950/80000, loss=0.1666, lr=0.002488, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:33:06 2020-12-17 03:25:37 [INFO] [TRAIN] epoch=170, iter=62960/80000, loss=0.1460, lr=0.002486, batch_cost=0.5588, reader_cost=0.0001 | ETA 02:38:42 2020-12-17 03:25:43 [INFO] [TRAIN] epoch=170, iter=62970/80000, loss=0.1760, lr=0.002485, batch_cost=0.5482, reader_cost=0.0001 | ETA 02:35:36 2020-12-17 03:25:48 [INFO] [TRAIN] epoch=170, iter=62980/80000, loss=0.1800, lr=0.002484, batch_cost=0.5302, reader_cost=0.0001 | ETA 02:30:23 2020-12-17 03:25:53 [INFO] [TRAIN] epoch=170, iter=62990/80000, loss=0.1607, lr=0.002482, batch_cost=0.5375, reader_cost=0.0003 | ETA 02:32:23 2020-12-17 03:25:59 [INFO] [TRAIN] epoch=170, iter=63000/80000, loss=0.1665, lr=0.002481, batch_cost=0.5309, reader_cost=0.0002 | ETA 02:30:25 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:25:59 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:26:32 [INFO] [EVAL] #Images=500 mIoU=0.7716 Acc=0.9596 Kappa=0.9475 2020-12-17 03:26:32 [INFO] [EVAL] Class IoU: [0.9819 0.853 0.9212 0.5073 0.6031 0.5993 0.701 0.7769 0.9233 0.647 0.9481 0.8116 0.6104 0.9479 0.828 0.8612 0.7243 0.6472 0.7679] 2020-12-17 03:26:32 [INFO] [EVAL] Class Acc: [0.9915 0.923 0.9507 0.8782 0.8044 0.7554 0.8268 0.9069 0.9533 0.8727 0.971 0.8829 0.809 0.9731 0.9489 0.9527 0.7926 0.821 0.841 ] 2020-12-17 03:26:36 [INFO] [EVAL] The model with the best validation mIoU (0.7844) was saved at iter 60000. 2020-12-17 03:26:41 [INFO] [TRAIN] epoch=170, iter=63010/80000, loss=0.1589, lr=0.002480, batch_cost=0.5330, reader_cost=0.0001 | ETA 02:30:55 2020-12-17 03:26:47 [INFO] [TRAIN] epoch=170, iter=63020/80000, loss=0.1731, lr=0.002478, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:33:57 2020-12-17 03:26:52 [INFO] [TRAIN] epoch=170, iter=63030/80000, loss=0.1721, lr=0.002477, batch_cost=0.5547, reader_cost=0.0001 | ETA 02:36:52 2020-12-17 03:26:57 [INFO] [TRAIN] epoch=170, iter=63040/80000, loss=0.1182, lr=0.002476, batch_cost=0.5279, reader_cost=0.0001 | ETA 02:29:13 2020-12-17 03:27:03 [INFO] [TRAIN] epoch=170, iter=63050/80000, loss=0.1238, lr=0.002475, batch_cost=0.5608, reader_cost=0.0001 | ETA 02:38:25 2020-12-17 03:27:09 [INFO] [TRAIN] epoch=170, iter=63060/80000, loss=0.1826, lr=0.002473, batch_cost=0.5531, reader_cost=0.0001 | ETA 02:36:10 2020-12-17 03:27:14 [INFO] [TRAIN] epoch=170, iter=63070/80000, loss=0.2128, lr=0.002472, batch_cost=0.5536, reader_cost=0.0001 | ETA 02:36:12 2020-12-17 03:27:20 [INFO] [TRAIN] epoch=170, iter=63080/80000, loss=0.1300, lr=0.002471, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:32:04 2020-12-17 03:27:25 [INFO] [TRAIN] epoch=170, iter=63090/80000, loss=0.1443, lr=0.002469, batch_cost=0.5471, reader_cost=0.0001 | ETA 02:34:12 2020-12-17 03:27:30 [INFO] [TRAIN] epoch=170, iter=63100/80000, loss=0.1814, lr=0.002468, batch_cost=0.5440, reader_cost=0.0003 | ETA 02:33:13 2020-12-17 03:27:36 [INFO] [TRAIN] epoch=170, iter=63110/80000, loss=0.1362, lr=0.002467, batch_cost=0.5247, reader_cost=0.0002 | ETA 02:27:41 2020-12-17 03:27:41 [INFO] [TRAIN] epoch=170, iter=63120/80000, loss=0.1181, lr=0.002465, batch_cost=0.5313, reader_cost=0.0001 | ETA 02:29:27 2020-12-17 03:27:46 [INFO] [TRAIN] epoch=170, iter=63130/80000, loss=0.1331, lr=0.002464, batch_cost=0.5349, reader_cost=0.0002 | ETA 02:30:24 2020-12-17 03:27:52 [INFO] [TRAIN] epoch=170, iter=63140/80000, loss=0.1618, lr=0.002463, batch_cost=0.5333, reader_cost=0.0001 | ETA 02:29:50 2020-12-17 03:27:57 [INFO] [TRAIN] epoch=170, iter=63150/80000, loss=0.1620, lr=0.002461, batch_cost=0.5525, reader_cost=0.0001 | ETA 02:35:10 2020-12-17 03:28:03 [INFO] [TRAIN] epoch=170, iter=63160/80000, loss=0.1985, lr=0.002460, batch_cost=0.5328, reader_cost=0.0001 | ETA 02:29:32 2020-12-17 03:28:08 [INFO] [TRAIN] epoch=170, iter=63170/80000, loss=0.1995, lr=0.002459, batch_cost=0.5652, reader_cost=0.0003 | ETA 02:38:31 2020-12-17 03:28:14 [INFO] [TRAIN] epoch=170, iter=63180/80000, loss=0.1159, lr=0.002457, batch_cost=0.5474, reader_cost=0.0001 | ETA 02:33:27 2020-12-17 03:28:19 [INFO] [TRAIN] epoch=170, iter=63190/80000, loss=0.1356, lr=0.002456, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:30:57 2020-12-17 03:28:24 [INFO] [TRAIN] epoch=170, iter=63200/80000, loss=0.1583, lr=0.002455, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:30:57 2020-12-17 03:28:30 [INFO] [TRAIN] epoch=170, iter=63210/80000, loss=0.1440, lr=0.002454, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:30:19 2020-12-17 03:28:35 [INFO] [TRAIN] epoch=170, iter=63220/80000, loss=0.1455, lr=0.002452, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:31:28 2020-12-17 03:28:41 [INFO] [TRAIN] epoch=170, iter=63230/80000, loss=0.2207, lr=0.002451, batch_cost=0.5384, reader_cost=0.0005 | ETA 02:30:29 2020-12-17 03:28:46 [INFO] [TRAIN] epoch=170, iter=63240/80000, loss=0.1569, lr=0.002450, batch_cost=0.5100, reader_cost=0.0001 | ETA 02:22:27 2020-12-17 03:28:52 [INFO] [TRAIN] epoch=171, iter=63250/80000, loss=0.2275, lr=0.002448, batch_cost=0.6342, reader_cost=0.0537 | ETA 02:57:02 2020-12-17 03:28:58 [INFO] [TRAIN] epoch=171, iter=63260/80000, loss=0.1355, lr=0.002447, batch_cost=0.5552, reader_cost=0.0001 | ETA 02:34:54 2020-12-17 03:29:03 [INFO] [TRAIN] epoch=171, iter=63270/80000, loss=0.1714, lr=0.002446, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:28:54 2020-12-17 03:29:08 [INFO] [TRAIN] epoch=171, iter=63280/80000, loss=0.2021, lr=0.002444, batch_cost=0.5484, reader_cost=0.0160 | ETA 02:32:49 2020-12-17 03:29:14 [INFO] [TRAIN] epoch=171, iter=63290/80000, loss=0.1339, lr=0.002443, batch_cost=0.5685, reader_cost=0.0012 | ETA 02:38:20 2020-12-17 03:29:20 [INFO] [TRAIN] epoch=171, iter=63300/80000, loss=0.2012, lr=0.002442, batch_cost=0.5432, reader_cost=0.0001 | ETA 02:31:10 2020-12-17 03:29:25 [INFO] [TRAIN] epoch=171, iter=63310/80000, loss=0.1739, lr=0.002440, batch_cost=0.5646, reader_cost=0.0001 | ETA 02:37:02 2020-12-17 03:29:31 [INFO] [TRAIN] epoch=171, iter=63320/80000, loss=0.1481, lr=0.002439, batch_cost=0.5478, reader_cost=0.0001 | ETA 02:32:17 2020-12-17 03:29:36 [INFO] [TRAIN] epoch=171, iter=63330/80000, loss=0.1683, lr=0.002438, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:30:28 2020-12-17 03:29:42 [INFO] [TRAIN] epoch=171, iter=63340/80000, loss=0.2324, lr=0.002436, batch_cost=0.5515, reader_cost=0.0001 | ETA 02:33:07 2020-12-17 03:29:47 [INFO] [TRAIN] epoch=171, iter=63350/80000, loss=0.1769, lr=0.002435, batch_cost=0.5349, reader_cost=0.0001 | ETA 02:28:26 2020-12-17 03:29:52 [INFO] [TRAIN] epoch=171, iter=63360/80000, loss=0.1799, lr=0.002434, batch_cost=0.5482, reader_cost=0.0010 | ETA 02:32:01 2020-12-17 03:29:58 [INFO] [TRAIN] epoch=171, iter=63370/80000, loss=0.2222, lr=0.002432, batch_cost=0.5245, reader_cost=0.0001 | ETA 02:25:22 2020-12-17 03:30:03 [INFO] [TRAIN] epoch=171, iter=63380/80000, loss=0.1718, lr=0.002431, batch_cost=0.5493, reader_cost=0.0001 | ETA 02:32:09 2020-12-17 03:30:09 [INFO] [TRAIN] epoch=171, iter=63390/80000, loss=0.1329, lr=0.002430, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:29:11 2020-12-17 03:30:14 [INFO] [TRAIN] epoch=171, iter=63400/80000, loss=0.2187, lr=0.002429, batch_cost=0.5557, reader_cost=0.0001 | ETA 02:33:45 2020-12-17 03:30:20 [INFO] [TRAIN] epoch=171, iter=63410/80000, loss=0.1462, lr=0.002427, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:31:13 2020-12-17 03:30:25 [INFO] [TRAIN] epoch=171, iter=63420/80000, loss=0.1713, lr=0.002426, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:28:38 2020-12-17 03:30:31 [INFO] [TRAIN] epoch=171, iter=63430/80000, loss=0.1275, lr=0.002425, batch_cost=0.5610, reader_cost=0.0003 | ETA 02:34:55 2020-12-17 03:30:36 [INFO] [TRAIN] epoch=171, iter=63440/80000, loss=0.1220, lr=0.002423, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:28:49 2020-12-17 03:30:41 [INFO] [TRAIN] epoch=171, iter=63450/80000, loss=0.2027, lr=0.002422, batch_cost=0.5376, reader_cost=0.0003 | ETA 02:28:16 2020-12-17 03:30:47 [INFO] [TRAIN] epoch=171, iter=63460/80000, loss=0.1475, lr=0.002421, batch_cost=0.5616, reader_cost=0.0001 | ETA 02:34:48 2020-12-17 03:30:52 [INFO] [TRAIN] epoch=171, iter=63470/80000, loss=0.1622, lr=0.002419, batch_cost=0.5422, reader_cost=0.0001 | ETA 02:29:22 2020-12-17 03:30:58 [INFO] [TRAIN] epoch=171, iter=63480/80000, loss=0.1862, lr=0.002418, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:28:34 2020-12-17 03:31:03 [INFO] [TRAIN] epoch=171, iter=63490/80000, loss=0.1378, lr=0.002417, batch_cost=0.5497, reader_cost=0.0001 | ETA 02:31:15 2020-12-17 03:31:09 [INFO] [TRAIN] epoch=171, iter=63500/80000, loss=0.1610, lr=0.002415, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:29:36 2020-12-17 03:31:14 [INFO] [TRAIN] epoch=171, iter=63510/80000, loss=0.1886, lr=0.002414, batch_cost=0.5398, reader_cost=0.0002 | ETA 02:28:21 2020-12-17 03:31:20 [INFO] [TRAIN] epoch=171, iter=63520/80000, loss=0.1881, lr=0.002413, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:28:14 2020-12-17 03:31:25 [INFO] [TRAIN] epoch=171, iter=63530/80000, loss=0.1870, lr=0.002411, batch_cost=0.5348, reader_cost=0.0001 | ETA 02:26:47 2020-12-17 03:31:30 [INFO] [TRAIN] epoch=171, iter=63540/80000, loss=0.1319, lr=0.002410, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:28:16 2020-12-17 03:31:36 [INFO] [TRAIN] epoch=171, iter=63550/80000, loss=0.1277, lr=0.002409, batch_cost=0.5503, reader_cost=0.0001 | ETA 02:30:52 2020-12-17 03:31:41 [INFO] [TRAIN] epoch=171, iter=63560/80000, loss=0.1535, lr=0.002407, batch_cost=0.5210, reader_cost=0.0001 | ETA 02:22:44 2020-12-17 03:31:47 [INFO] [TRAIN] epoch=171, iter=63570/80000, loss=0.1798, lr=0.002406, batch_cost=0.5559, reader_cost=0.0001 | ETA 02:32:14 2020-12-17 03:31:52 [INFO] [TRAIN] epoch=171, iter=63580/80000, loss=0.1689, lr=0.002405, batch_cost=0.5514, reader_cost=0.0001 | ETA 02:30:53 2020-12-17 03:31:58 [INFO] [TRAIN] epoch=171, iter=63590/80000, loss=0.1580, lr=0.002403, batch_cost=0.5477, reader_cost=0.0002 | ETA 02:29:48 2020-12-17 03:32:03 [INFO] [TRAIN] epoch=171, iter=63600/80000, loss=0.1896, lr=0.002402, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:26:38 2020-12-17 03:32:08 [INFO] [TRAIN] epoch=171, iter=63610/80000, loss=0.1089, lr=0.002401, batch_cost=0.5270, reader_cost=0.0002 | ETA 02:23:57 2020-12-17 03:32:14 [INFO] [TRAIN] epoch=172, iter=63620/80000, loss=0.1244, lr=0.002400, batch_cost=0.6241, reader_cost=0.0510 | ETA 02:50:23 2020-12-17 03:32:20 [INFO] [TRAIN] epoch=172, iter=63630/80000, loss=0.1611, lr=0.002398, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:29:12 2020-12-17 03:32:26 [INFO] [TRAIN] epoch=172, iter=63640/80000, loss=0.1868, lr=0.002397, batch_cost=0.5704, reader_cost=0.0001 | ETA 02:35:32 2020-12-17 03:32:31 [INFO] [TRAIN] epoch=172, iter=63650/80000, loss=0.1135, lr=0.002396, batch_cost=0.5358, reader_cost=0.0003 | ETA 02:25:59 2020-12-17 03:32:37 [INFO] [TRAIN] epoch=172, iter=63660/80000, loss=0.1729, lr=0.002394, batch_cost=0.5515, reader_cost=0.0001 | ETA 02:30:10 2020-12-17 03:32:42 [INFO] [TRAIN] epoch=172, iter=63670/80000, loss=0.1835, lr=0.002393, batch_cost=0.5519, reader_cost=0.0001 | ETA 02:30:12 2020-12-17 03:32:47 [INFO] [TRAIN] epoch=172, iter=63680/80000, loss=0.1756, lr=0.002392, batch_cost=0.5351, reader_cost=0.0003 | ETA 02:25:32 2020-12-17 03:32:53 [INFO] [TRAIN] epoch=172, iter=63690/80000, loss=0.2084, lr=0.002390, batch_cost=0.5296, reader_cost=0.0001 | ETA 02:23:58 2020-12-17 03:32:58 [INFO] [TRAIN] epoch=172, iter=63700/80000, loss=0.1956, lr=0.002389, batch_cost=0.5438, reader_cost=0.0001 | ETA 02:27:44 2020-12-17 03:33:03 [INFO] [TRAIN] epoch=172, iter=63710/80000, loss=0.1419, lr=0.002388, batch_cost=0.5370, reader_cost=0.0001 | ETA 02:25:48 2020-12-17 03:33:09 [INFO] [TRAIN] epoch=172, iter=63720/80000, loss=0.1567, lr=0.002386, batch_cost=0.5377, reader_cost=0.0003 | ETA 02:25:53 2020-12-17 03:33:14 [INFO] [TRAIN] epoch=172, iter=63730/80000, loss=0.2213, lr=0.002385, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:26:25 2020-12-17 03:33:20 [INFO] [TRAIN] epoch=172, iter=63740/80000, loss=0.1181, lr=0.002384, batch_cost=0.5344, reader_cost=0.0001 | ETA 02:24:48 2020-12-17 03:33:25 [INFO] [TRAIN] epoch=172, iter=63750/80000, loss=0.1340, lr=0.002382, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:26:06 2020-12-17 03:33:30 [INFO] [TRAIN] epoch=172, iter=63760/80000, loss=0.2211, lr=0.002381, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:26:46 2020-12-17 03:33:36 [INFO] [TRAIN] epoch=172, iter=63770/80000, loss=0.1512, lr=0.002380, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:26:09 2020-12-17 03:33:41 [INFO] [TRAIN] epoch=172, iter=63780/80000, loss=0.1435, lr=0.002378, batch_cost=0.5277, reader_cost=0.0001 | ETA 02:22:40 2020-12-17 03:33:46 [INFO] [TRAIN] epoch=172, iter=63790/80000, loss=0.1419, lr=0.002377, batch_cost=0.5283, reader_cost=0.0001 | ETA 02:22:43 2020-12-17 03:33:52 [INFO] [TRAIN] epoch=172, iter=63800/80000, loss=0.1629, lr=0.002376, batch_cost=0.5610, reader_cost=0.0001 | ETA 02:31:27 2020-12-17 03:33:57 [INFO] [TRAIN] epoch=172, iter=63810/80000, loss=0.1503, lr=0.002374, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:25:30 2020-12-17 03:34:03 [INFO] [TRAIN] epoch=172, iter=63820/80000, loss=0.1834, lr=0.002373, batch_cost=0.5316, reader_cost=0.0001 | ETA 02:23:21 2020-12-17 03:34:08 [INFO] [TRAIN] epoch=172, iter=63830/80000, loss=0.2066, lr=0.002372, batch_cost=0.5536, reader_cost=0.0004 | ETA 02:29:11 2020-12-17 03:34:14 [INFO] [TRAIN] epoch=172, iter=63840/80000, loss=0.1736, lr=0.002371, batch_cost=0.5460, reader_cost=0.0001 | ETA 02:27:03 2020-12-17 03:34:19 [INFO] [TRAIN] epoch=172, iter=63850/80000, loss=0.1274, lr=0.002369, batch_cost=0.5496, reader_cost=0.0001 | ETA 02:27:55 2020-12-17 03:34:25 [INFO] [TRAIN] epoch=172, iter=63860/80000, loss=0.1716, lr=0.002368, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:25:02 2020-12-17 03:34:30 [INFO] [TRAIN] epoch=172, iter=63870/80000, loss=0.1453, lr=0.002367, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:25:10 2020-12-17 03:34:35 [INFO] [TRAIN] epoch=172, iter=63880/80000, loss=0.2030, lr=0.002365, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:25:01 2020-12-17 03:34:41 [INFO] [TRAIN] epoch=172, iter=63890/80000, loss=0.1273, lr=0.002364, batch_cost=0.5305, reader_cost=0.0001 | ETA 02:22:25 2020-12-17 03:34:46 [INFO] [TRAIN] epoch=172, iter=63900/80000, loss=0.1962, lr=0.002363, batch_cost=0.5254, reader_cost=0.0001 | ETA 02:20:58 2020-12-17 03:34:51 [INFO] [TRAIN] epoch=172, iter=63910/80000, loss=0.1482, lr=0.002361, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:25:24 2020-12-17 03:34:57 [INFO] [TRAIN] epoch=172, iter=63920/80000, loss=0.1754, lr=0.002360, batch_cost=0.5496, reader_cost=0.0001 | ETA 02:27:17 2020-12-17 03:35:02 [INFO] [TRAIN] epoch=172, iter=63930/80000, loss=0.1783, lr=0.002359, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:26:28 2020-12-17 03:35:08 [INFO] [TRAIN] epoch=172, iter=63940/80000, loss=0.1327, lr=0.002357, batch_cost=0.5438, reader_cost=0.0001 | ETA 02:25:33 2020-12-17 03:35:13 [INFO] [TRAIN] epoch=172, iter=63950/80000, loss=0.1722, lr=0.002356, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:24:47 2020-12-17 03:35:19 [INFO] [TRAIN] epoch=172, iter=63960/80000, loss=0.1668, lr=0.002355, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:24:30 2020-12-17 03:35:24 [INFO] [TRAIN] epoch=172, iter=63970/80000, loss=0.1405, lr=0.002353, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:24:32 2020-12-17 03:35:29 [INFO] [TRAIN] epoch=172, iter=63980/80000, loss=0.1947, lr=0.002352, batch_cost=0.5473, reader_cost=0.0001 | ETA 02:26:08 2020-12-17 03:35:35 [INFO] [TRAIN] epoch=173, iter=63990/80000, loss=0.1776, lr=0.002351, batch_cost=0.5981, reader_cost=0.0518 | ETA 02:39:34 2020-12-17 03:35:41 [INFO] [TRAIN] epoch=173, iter=64000/80000, loss=0.1093, lr=0.002349, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:24:56 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:35:41 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 03:36:15 [INFO] [EVAL] #Images=500 mIoU=0.7865 Acc=0.9609 Kappa=0.9492 2020-12-17 03:36:15 [INFO] [EVAL] Class IoU: [0.9823 0.8578 0.9235 0.5691 0.6106 0.601 0.7003 0.7808 0.9241 0.6713 0.9473 0.8107 0.6205 0.9499 0.8522 0.8854 0.826 0.6634 0.7682] 2020-12-17 03:36:15 [INFO] [EVAL] Class Acc: [0.9918 0.9294 0.9502 0.8441 0.7982 0.7876 0.8401 0.9097 0.9556 0.8676 0.9705 0.8936 0.7292 0.9731 0.9485 0.9346 0.9337 0.8388 0.864 ] 2020-12-17 03:36:21 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 03:36:26 [INFO] [TRAIN] epoch=173, iter=64010/80000, loss=0.1649, lr=0.002348, batch_cost=0.5500, reader_cost=0.0001 | ETA 02:26:33 2020-12-17 03:36:32 [INFO] [TRAIN] epoch=173, iter=64020/80000, loss=0.1648, lr=0.002347, batch_cost=0.5675, reader_cost=0.0001 | ETA 02:31:08 2020-12-17 03:36:38 [INFO] [TRAIN] epoch=173, iter=64030/80000, loss=0.2082, lr=0.002345, batch_cost=0.5555, reader_cost=0.0012 | ETA 02:27:51 2020-12-17 03:36:43 [INFO] [TRAIN] epoch=173, iter=64040/80000, loss=0.1670, lr=0.002344, batch_cost=0.5493, reader_cost=0.0001 | ETA 02:26:07 2020-12-17 03:36:49 [INFO] [TRAIN] epoch=173, iter=64050/80000, loss=0.1804, lr=0.002343, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:23:18 2020-12-17 03:36:54 [INFO] [TRAIN] epoch=173, iter=64060/80000, loss=0.1707, lr=0.002341, batch_cost=0.5478, reader_cost=0.0001 | ETA 02:25:32 2020-12-17 03:36:59 [INFO] [TRAIN] epoch=173, iter=64070/80000, loss=0.1929, lr=0.002340, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:22:49 2020-12-17 03:37:05 [INFO] [TRAIN] epoch=173, iter=64080/80000, loss=0.1447, lr=0.002339, batch_cost=0.5436, reader_cost=0.0001 | ETA 02:24:13 2020-12-17 03:37:10 [INFO] [TRAIN] epoch=173, iter=64090/80000, loss=0.1697, lr=0.002337, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:21:35 2020-12-17 03:37:16 [INFO] [TRAIN] epoch=173, iter=64100/80000, loss=0.1798, lr=0.002336, batch_cost=0.5521, reader_cost=0.0001 | ETA 02:26:18 2020-12-17 03:37:21 [INFO] [TRAIN] epoch=173, iter=64110/80000, loss=0.1842, lr=0.002335, batch_cost=0.5456, reader_cost=0.0001 | ETA 02:24:29 2020-12-17 03:37:26 [INFO] [TRAIN] epoch=173, iter=64120/80000, loss=0.1957, lr=0.002334, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:22:15 2020-12-17 03:37:32 [INFO] [TRAIN] epoch=173, iter=64130/80000, loss=0.1410, lr=0.002332, batch_cost=0.5438, reader_cost=0.0001 | ETA 02:23:50 2020-12-17 03:37:38 [INFO] [TRAIN] epoch=173, iter=64140/80000, loss=0.1690, lr=0.002331, batch_cost=0.5578, reader_cost=0.0002 | ETA 02:27:25 2020-12-17 03:37:43 [INFO] [TRAIN] epoch=173, iter=64150/80000, loss=0.1598, lr=0.002330, batch_cost=0.5449, reader_cost=0.0001 | ETA 02:23:56 2020-12-17 03:37:48 [INFO] [TRAIN] epoch=173, iter=64160/80000, loss=0.1672, lr=0.002328, batch_cost=0.5507, reader_cost=0.0001 | ETA 02:25:22 2020-12-17 03:37:54 [INFO] [TRAIN] epoch=173, iter=64170/80000, loss=0.1480, lr=0.002327, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:22:24 2020-12-17 03:37:59 [INFO] [TRAIN] epoch=173, iter=64180/80000, loss=0.1778, lr=0.002326, batch_cost=0.5504, reader_cost=0.0001 | ETA 02:25:07 2020-12-17 03:38:05 [INFO] [TRAIN] epoch=173, iter=64190/80000, loss=0.1863, lr=0.002324, batch_cost=0.5441, reader_cost=0.0001 | ETA 02:23:21 2020-12-17 03:38:10 [INFO] [TRAIN] epoch=173, iter=64200/80000, loss=0.1663, lr=0.002323, batch_cost=0.5600, reader_cost=0.0001 | ETA 02:27:27 2020-12-17 03:38:16 [INFO] [TRAIN] epoch=173, iter=64210/80000, loss=0.1754, lr=0.002322, batch_cost=0.5498, reader_cost=0.0001 | ETA 02:24:42 2020-12-17 03:38:21 [INFO] [TRAIN] epoch=173, iter=64220/80000, loss=0.2274, lr=0.002320, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:21:42 2020-12-17 03:38:27 [INFO] [TRAIN] epoch=173, iter=64230/80000, loss=0.1644, lr=0.002319, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:21:05 2020-12-17 03:38:32 [INFO] [TRAIN] epoch=173, iter=64240/80000, loss=0.1282, lr=0.002318, batch_cost=0.5475, reader_cost=0.0001 | ETA 02:23:48 2020-12-17 03:38:37 [INFO] [TRAIN] epoch=173, iter=64250/80000, loss=0.1688, lr=0.002316, batch_cost=0.5304, reader_cost=0.0001 | ETA 02:19:13 2020-12-17 03:38:43 [INFO] [TRAIN] epoch=173, iter=64260/80000, loss=0.1630, lr=0.002315, batch_cost=0.5426, reader_cost=0.0001 | ETA 02:22:20 2020-12-17 03:38:48 [INFO] [TRAIN] epoch=173, iter=64270/80000, loss=0.1566, lr=0.002314, batch_cost=0.5499, reader_cost=0.0001 | ETA 02:24:10 2020-12-17 03:38:54 [INFO] [TRAIN] epoch=173, iter=64280/80000, loss=0.2264, lr=0.002312, batch_cost=0.5485, reader_cost=0.0001 | ETA 02:23:42 2020-12-17 03:38:59 [INFO] [TRAIN] epoch=173, iter=64290/80000, loss=0.1707, lr=0.002311, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:21:40 2020-12-17 03:39:05 [INFO] [TRAIN] epoch=173, iter=64300/80000, loss=0.1206, lr=0.002310, batch_cost=0.5295, reader_cost=0.0001 | ETA 02:18:32 2020-12-17 03:39:10 [INFO] [TRAIN] epoch=173, iter=64310/80000, loss=0.1407, lr=0.002308, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:21:21 2020-12-17 03:39:15 [INFO] [TRAIN] epoch=173, iter=64320/80000, loss=0.1821, lr=0.002307, batch_cost=0.5358, reader_cost=0.0001 | ETA 02:20:01 2020-12-17 03:39:21 [INFO] [TRAIN] epoch=173, iter=64330/80000, loss=0.1360, lr=0.002306, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:22:49 2020-12-17 03:39:26 [INFO] [TRAIN] epoch=173, iter=64340/80000, loss=0.1512, lr=0.002304, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:21:34 2020-12-17 03:39:32 [INFO] [TRAIN] epoch=173, iter=64350/80000, loss=0.1761, lr=0.002303, batch_cost=0.5373, reader_cost=0.0001 | ETA 02:20:09 2020-12-17 03:39:37 [INFO] [TRAIN] epoch=174, iter=64360/80000, loss=0.1526, lr=0.002302, batch_cost=0.5864, reader_cost=0.0525 | ETA 02:32:51 2020-12-17 03:39:43 [INFO] [TRAIN] epoch=174, iter=64370/80000, loss=0.2124, lr=0.002300, batch_cost=0.5609, reader_cost=0.0001 | ETA 02:26:06 2020-12-17 03:39:49 [INFO] [TRAIN] epoch=174, iter=64380/80000, loss=0.1900, lr=0.002299, batch_cost=0.5627, reader_cost=0.0002 | ETA 02:26:28 2020-12-17 03:39:54 [INFO] [TRAIN] epoch=174, iter=64390/80000, loss=0.1693, lr=0.002298, batch_cost=0.5509, reader_cost=0.0001 | ETA 02:23:20 2020-12-17 03:40:00 [INFO] [TRAIN] epoch=174, iter=64400/80000, loss=0.1244, lr=0.002296, batch_cost=0.5293, reader_cost=0.0001 | ETA 02:17:36 2020-12-17 03:40:05 [INFO] [TRAIN] epoch=174, iter=64410/80000, loss=0.1155, lr=0.002295, batch_cost=0.5263, reader_cost=0.0002 | ETA 02:16:44 2020-12-17 03:40:10 [INFO] [TRAIN] epoch=174, iter=64420/80000, loss=0.1830, lr=0.002294, batch_cost=0.5433, reader_cost=0.0001 | ETA 02:21:04 2020-12-17 03:40:16 [INFO] [TRAIN] epoch=174, iter=64430/80000, loss=0.1625, lr=0.002292, batch_cost=0.5414, reader_cost=0.0001 | ETA 02:20:29 2020-12-17 03:40:21 [INFO] [TRAIN] epoch=174, iter=64440/80000, loss=0.1354, lr=0.002291, batch_cost=0.5258, reader_cost=0.0001 | ETA 02:16:22 2020-12-17 03:40:26 [INFO] [TRAIN] epoch=174, iter=64450/80000, loss=0.1489, lr=0.002290, batch_cost=0.5366, reader_cost=0.0004 | ETA 02:19:04 2020-12-17 03:40:32 [INFO] [TRAIN] epoch=174, iter=64460/80000, loss=0.1788, lr=0.002288, batch_cost=0.5328, reader_cost=0.0001 | ETA 02:17:59 2020-12-17 03:40:37 [INFO] [TRAIN] epoch=174, iter=64470/80000, loss=0.1576, lr=0.002287, batch_cost=0.5343, reader_cost=0.0003 | ETA 02:18:18 2020-12-17 03:40:43 [INFO] [TRAIN] epoch=174, iter=64480/80000, loss=0.1361, lr=0.002286, batch_cost=0.5614, reader_cost=0.0001 | ETA 02:25:13 2020-12-17 03:40:48 [INFO] [TRAIN] epoch=174, iter=64490/80000, loss=0.1801, lr=0.002285, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:20:22 2020-12-17 03:40:53 [INFO] [TRAIN] epoch=174, iter=64500/80000, loss=0.1440, lr=0.002283, batch_cost=0.5394, reader_cost=0.0001 | ETA 02:19:20 2020-12-17 03:40:59 [INFO] [TRAIN] epoch=174, iter=64510/80000, loss=0.1877, lr=0.002282, batch_cost=0.5509, reader_cost=0.0001 | ETA 02:22:13 2020-12-17 03:41:04 [INFO] [TRAIN] epoch=174, iter=64520/80000, loss=0.2364, lr=0.002281, batch_cost=0.5429, reader_cost=0.0001 | ETA 02:20:04 2020-12-17 03:41:10 [INFO] [TRAIN] epoch=174, iter=64530/80000, loss=0.1354, lr=0.002279, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:21:00 2020-12-17 03:41:15 [INFO] [TRAIN] epoch=174, iter=64540/80000, loss=0.1446, lr=0.002278, batch_cost=0.5442, reader_cost=0.0002 | ETA 02:20:12 2020-12-17 03:41:21 [INFO] [TRAIN] epoch=174, iter=64550/80000, loss=0.1554, lr=0.002277, batch_cost=0.5436, reader_cost=0.0002 | ETA 02:19:58 2020-12-17 03:41:26 [INFO] [TRAIN] epoch=174, iter=64560/80000, loss=0.1840, lr=0.002275, batch_cost=0.5424, reader_cost=0.0001 | ETA 02:19:35 2020-12-17 03:41:32 [INFO] [TRAIN] epoch=174, iter=64570/80000, loss=0.1316, lr=0.002274, batch_cost=0.5436, reader_cost=0.0002 | ETA 02:19:47 2020-12-17 03:41:37 [INFO] [TRAIN] epoch=174, iter=64580/80000, loss=0.1935, lr=0.002273, batch_cost=0.5430, reader_cost=0.0003 | ETA 02:19:32 2020-12-17 03:41:42 [INFO] [TRAIN] epoch=174, iter=64590/80000, loss=0.1811, lr=0.002271, batch_cost=0.5479, reader_cost=0.0001 | ETA 02:20:42 2020-12-17 03:41:48 [INFO] [TRAIN] epoch=174, iter=64600/80000, loss=0.1300, lr=0.002270, batch_cost=0.5314, reader_cost=0.0001 | ETA 02:16:22 2020-12-17 03:41:53 [INFO] [TRAIN] epoch=174, iter=64610/80000, loss=0.1133, lr=0.002269, batch_cost=0.5500, reader_cost=0.0002 | ETA 02:21:05 2020-12-17 03:41:59 [INFO] [TRAIN] epoch=174, iter=64620/80000, loss=0.1769, lr=0.002267, batch_cost=0.5427, reader_cost=0.0001 | ETA 02:19:06 2020-12-17 03:42:04 [INFO] [TRAIN] epoch=174, iter=64630/80000, loss=0.2011, lr=0.002266, batch_cost=0.5622, reader_cost=0.0001 | ETA 02:24:00 2020-12-17 03:42:10 [INFO] [TRAIN] epoch=174, iter=64640/80000, loss=0.1175, lr=0.002265, batch_cost=0.5481, reader_cost=0.0001 | ETA 02:20:19 2020-12-17 03:42:15 [INFO] [TRAIN] epoch=174, iter=64650/80000, loss=0.1555, lr=0.002263, batch_cost=0.5573, reader_cost=0.0003 | ETA 02:22:34 2020-12-17 03:42:21 [INFO] [TRAIN] epoch=174, iter=64660/80000, loss=0.1777, lr=0.002262, batch_cost=0.5503, reader_cost=0.0001 | ETA 02:20:42 2020-12-17 03:42:26 [INFO] [TRAIN] epoch=174, iter=64670/80000, loss=0.1292, lr=0.002261, batch_cost=0.5358, reader_cost=0.0001 | ETA 02:16:53 2020-12-17 03:42:32 [INFO] [TRAIN] epoch=174, iter=64680/80000, loss=0.1574, lr=0.002259, batch_cost=0.5292, reader_cost=0.0001 | ETA 02:15:07 2020-12-17 03:42:37 [INFO] [TRAIN] epoch=174, iter=64690/80000, loss=0.3232, lr=0.002258, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:17:31 2020-12-17 03:42:43 [INFO] [TRAIN] epoch=174, iter=64700/80000, loss=0.2191, lr=0.002257, batch_cost=0.5630, reader_cost=0.0001 | ETA 02:23:33 2020-12-17 03:42:48 [INFO] [TRAIN] epoch=174, iter=64710/80000, loss=0.1848, lr=0.002255, batch_cost=0.5471, reader_cost=0.0001 | ETA 02:19:24 2020-12-17 03:42:54 [INFO] [TRAIN] epoch=174, iter=64720/80000, loss=0.1731, lr=0.002254, batch_cost=0.5528, reader_cost=0.0001 | ETA 02:20:47 2020-12-17 03:42:59 [INFO] [TRAIN] epoch=175, iter=64730/80000, loss=0.1569, lr=0.002253, batch_cost=0.5845, reader_cost=0.0649 | ETA 02:28:44 2020-12-17 03:43:05 [INFO] [TRAIN] epoch=175, iter=64740/80000, loss=0.1494, lr=0.002251, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:17:28 2020-12-17 03:43:10 [INFO] [TRAIN] epoch=175, iter=64750/80000, loss=0.1357, lr=0.002250, batch_cost=0.5616, reader_cost=0.0001 | ETA 02:22:44 2020-12-17 03:43:16 [INFO] [TRAIN] epoch=175, iter=64760/80000, loss=0.1308, lr=0.002249, batch_cost=0.5649, reader_cost=0.0002 | ETA 02:23:29 2020-12-17 03:43:21 [INFO] [TRAIN] epoch=175, iter=64770/80000, loss=0.2106, lr=0.002247, batch_cost=0.5387, reader_cost=0.0002 | ETA 02:16:44 2020-12-17 03:43:27 [INFO] [TRAIN] epoch=175, iter=64780/80000, loss=0.2449, lr=0.002246, batch_cost=0.5436, reader_cost=0.0001 | ETA 02:17:53 2020-12-17 03:43:32 [INFO] [TRAIN] epoch=175, iter=64790/80000, loss=0.2555, lr=0.002245, batch_cost=0.5432, reader_cost=0.0001 | ETA 02:17:42 2020-12-17 03:43:38 [INFO] [TRAIN] epoch=175, iter=64800/80000, loss=0.1736, lr=0.002243, batch_cost=0.5413, reader_cost=0.0002 | ETA 02:17:08 2020-12-17 03:43:43 [INFO] [TRAIN] epoch=175, iter=64810/80000, loss=0.1611, lr=0.002242, batch_cost=0.5504, reader_cost=0.0002 | ETA 02:19:19 2020-12-17 03:43:49 [INFO] [TRAIN] epoch=175, iter=64820/80000, loss=0.1666, lr=0.002241, batch_cost=0.5513, reader_cost=0.0001 | ETA 02:19:29 2020-12-17 03:43:54 [INFO] [TRAIN] epoch=175, iter=64830/80000, loss=0.1739, lr=0.002239, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:16:26 2020-12-17 03:44:00 [INFO] [TRAIN] epoch=175, iter=64840/80000, loss=0.2301, lr=0.002238, batch_cost=0.5492, reader_cost=0.0001 | ETA 02:18:46 2020-12-17 03:44:05 [INFO] [TRAIN] epoch=175, iter=64850/80000, loss=0.1697, lr=0.002237, batch_cost=0.5485, reader_cost=0.0001 | ETA 02:18:29 2020-12-17 03:44:11 [INFO] [TRAIN] epoch=175, iter=64860/80000, loss=0.1663, lr=0.002235, batch_cost=0.5484, reader_cost=0.0001 | ETA 02:18:23 2020-12-17 03:44:16 [INFO] [TRAIN] epoch=175, iter=64870/80000, loss=0.1435, lr=0.002234, batch_cost=0.5235, reader_cost=0.0001 | ETA 02:12:00 2020-12-17 03:44:21 [INFO] [TRAIN] epoch=175, iter=64880/80000, loss=0.1760, lr=0.002233, batch_cost=0.5482, reader_cost=0.0002 | ETA 02:18:08 2020-12-17 03:44:27 [INFO] [TRAIN] epoch=175, iter=64890/80000, loss=0.1748, lr=0.002231, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:17:06 2020-12-17 03:44:32 [INFO] [TRAIN] epoch=175, iter=64900/80000, loss=0.1959, lr=0.002230, batch_cost=0.5511, reader_cost=0.0001 | ETA 02:18:41 2020-12-17 03:44:38 [INFO] [TRAIN] epoch=175, iter=64910/80000, loss=0.1229, lr=0.002229, batch_cost=0.5449, reader_cost=0.0022 | ETA 02:17:02 2020-12-17 03:44:43 [INFO] [TRAIN] epoch=175, iter=64920/80000, loss=0.1169, lr=0.002227, batch_cost=0.5378, reader_cost=0.0003 | ETA 02:15:09 2020-12-17 03:44:49 [INFO] [TRAIN] epoch=175, iter=64930/80000, loss=0.1741, lr=0.002226, batch_cost=0.5527, reader_cost=0.0003 | ETA 02:18:48 2020-12-17 03:44:54 [INFO] [TRAIN] epoch=175, iter=64940/80000, loss=0.1343, lr=0.002225, batch_cost=0.5532, reader_cost=0.0004 | ETA 02:18:51 2020-12-17 03:45:00 [INFO] [TRAIN] epoch=175, iter=64950/80000, loss=0.1430, lr=0.002223, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:15:20 2020-12-17 03:45:05 [INFO] [TRAIN] epoch=175, iter=64960/80000, loss=0.2418, lr=0.002222, batch_cost=0.5522, reader_cost=0.0001 | ETA 02:18:24 2020-12-17 03:45:10 [INFO] [TRAIN] epoch=175, iter=64970/80000, loss=0.1780, lr=0.002221, batch_cost=0.5330, reader_cost=0.0001 | ETA 02:13:30 2020-12-17 03:45:16 [INFO] [TRAIN] epoch=175, iter=64980/80000, loss=0.1605, lr=0.002219, batch_cost=0.5486, reader_cost=0.0001 | ETA 02:17:20 2020-12-17 03:45:21 [INFO] [TRAIN] epoch=175, iter=64990/80000, loss=0.1877, lr=0.002218, batch_cost=0.5294, reader_cost=0.0001 | ETA 02:12:25 2020-12-17 03:45:27 [INFO] [TRAIN] epoch=175, iter=65000/80000, loss=0.1795, lr=0.002217, batch_cost=0.5535, reader_cost=0.0001 | ETA 02:18:21 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:45:27 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 03:46:01 [INFO] [EVAL] #Images=500 mIoU=0.7835 Acc=0.9599 Kappa=0.9479 2020-12-17 03:46:01 [INFO] [EVAL] Class IoU: [0.9811 0.8477 0.9231 0.542 0.6042 0.6012 0.6988 0.7791 0.9225 0.6382 0.9482 0.8138 0.6217 0.9494 0.864 0.8897 0.8345 0.6577 0.77 ] 2020-12-17 03:46:01 [INFO] [EVAL] Class Acc: [0.9895 0.9322 0.9568 0.8735 0.7611 0.7742 0.8345 0.8977 0.9487 0.877 0.9706 0.8841 0.7919 0.9723 0.9449 0.9436 0.9353 0.8355 0.8463] 2020-12-17 03:46:05 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 03:46:10 [INFO] [TRAIN] epoch=175, iter=65010/80000, loss=0.2041, lr=0.002215, batch_cost=0.5262, reader_cost=0.0001 | ETA 02:11:27 2020-12-17 03:46:16 [INFO] [TRAIN] epoch=175, iter=65020/80000, loss=0.1374, lr=0.002214, batch_cost=0.5446, reader_cost=0.0001 | ETA 02:15:58 2020-12-17 03:46:21 [INFO] [TRAIN] epoch=175, iter=65030/80000, loss=0.1518, lr=0.002213, batch_cost=0.5434, reader_cost=0.0001 | ETA 02:15:34 2020-12-17 03:46:27 [INFO] [TRAIN] epoch=175, iter=65040/80000, loss=0.1474, lr=0.002211, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:14:56 2020-12-17 03:46:32 [INFO] [TRAIN] epoch=175, iter=65050/80000, loss=0.1577, lr=0.002210, batch_cost=0.5353, reader_cost=0.0001 | ETA 02:13:22 2020-12-17 03:46:37 [INFO] [TRAIN] epoch=175, iter=65060/80000, loss=0.1754, lr=0.002209, batch_cost=0.5361, reader_cost=0.0001 | ETA 02:13:29 2020-12-17 03:46:43 [INFO] [TRAIN] epoch=175, iter=65070/80000, loss=0.1804, lr=0.002207, batch_cost=0.5502, reader_cost=0.0002 | ETA 02:16:54 2020-12-17 03:46:48 [INFO] [TRAIN] epoch=175, iter=65080/80000, loss=0.1475, lr=0.002206, batch_cost=0.5211, reader_cost=0.0001 | ETA 02:09:35 2020-12-17 03:46:53 [INFO] [TRAIN] epoch=175, iter=65090/80000, loss=0.1299, lr=0.002205, batch_cost=0.5512, reader_cost=0.0001 | ETA 02:16:57 2020-12-17 03:46:59 [INFO] [TRAIN] epoch=175, iter=65100/80000, loss=0.1433, lr=0.002203, batch_cost=0.5306, reader_cost=0.0001 | ETA 02:11:45 2020-12-17 03:47:05 [INFO] [TRAIN] epoch=176, iter=65110/80000, loss=0.2013, lr=0.002202, batch_cost=0.6574, reader_cost=0.0420 | ETA 02:43:08 2020-12-17 03:47:11 [INFO] [TRAIN] epoch=176, iter=65120/80000, loss=0.1338, lr=0.002201, batch_cost=0.5871, reader_cost=0.0001 | ETA 02:25:35 2020-12-17 03:47:17 [INFO] [TRAIN] epoch=176, iter=65130/80000, loss=0.1717, lr=0.002200, batch_cost=0.5456, reader_cost=0.0001 | ETA 02:15:13 2020-12-17 03:47:22 [INFO] [TRAIN] epoch=176, iter=65140/80000, loss=0.1629, lr=0.002198, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:12:31 2020-12-17 03:47:28 [INFO] [TRAIN] epoch=176, iter=65150/80000, loss=0.1537, lr=0.002197, batch_cost=0.5550, reader_cost=0.0002 | ETA 02:17:22 2020-12-17 03:47:33 [INFO] [TRAIN] epoch=176, iter=65160/80000, loss=0.1637, lr=0.002196, batch_cost=0.5496, reader_cost=0.0002 | ETA 02:15:55 2020-12-17 03:47:39 [INFO] [TRAIN] epoch=176, iter=65170/80000, loss=0.1508, lr=0.002194, batch_cost=0.5537, reader_cost=0.0001 | ETA 02:16:51 2020-12-17 03:47:44 [INFO] [TRAIN] epoch=176, iter=65180/80000, loss=0.1340, lr=0.002193, batch_cost=0.5461, reader_cost=0.0001 | ETA 02:14:53 2020-12-17 03:47:49 [INFO] [TRAIN] epoch=176, iter=65190/80000, loss=0.1885, lr=0.002192, batch_cost=0.5437, reader_cost=0.0001 | ETA 02:14:12 2020-12-17 03:47:55 [INFO] [TRAIN] epoch=176, iter=65200/80000, loss=0.2170, lr=0.002190, batch_cost=0.5598, reader_cost=0.0001 | ETA 02:18:04 2020-12-17 03:48:01 [INFO] [TRAIN] epoch=176, iter=65210/80000, loss=0.1742, lr=0.002189, batch_cost=0.5651, reader_cost=0.0001 | ETA 02:19:18 2020-12-17 03:48:06 [INFO] [TRAIN] epoch=176, iter=65220/80000, loss=0.1699, lr=0.002188, batch_cost=0.5467, reader_cost=0.0001 | ETA 02:14:40 2020-12-17 03:48:12 [INFO] [TRAIN] epoch=176, iter=65230/80000, loss=0.1379, lr=0.002186, batch_cost=0.5450, reader_cost=0.0004 | ETA 02:14:10 2020-12-17 03:48:17 [INFO] [TRAIN] epoch=176, iter=65240/80000, loss=0.1342, lr=0.002185, batch_cost=0.5467, reader_cost=0.0001 | ETA 02:14:29 2020-12-17 03:48:23 [INFO] [TRAIN] epoch=176, iter=65250/80000, loss=0.1497, lr=0.002184, batch_cost=0.5509, reader_cost=0.0001 | ETA 02:15:26 2020-12-17 03:48:28 [INFO] [TRAIN] epoch=176, iter=65260/80000, loss=0.1292, lr=0.002182, batch_cost=0.5208, reader_cost=0.0001 | ETA 02:07:57 2020-12-17 03:48:33 [INFO] [TRAIN] epoch=176, iter=65270/80000, loss=0.1700, lr=0.002181, batch_cost=0.5481, reader_cost=0.0001 | ETA 02:14:34 2020-12-17 03:48:39 [INFO] [TRAIN] epoch=176, iter=65280/80000, loss=0.1189, lr=0.002180, batch_cost=0.5498, reader_cost=0.0002 | ETA 02:14:52 2020-12-17 03:48:44 [INFO] [TRAIN] epoch=176, iter=65290/80000, loss=0.1556, lr=0.002178, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:12:08 2020-12-17 03:48:50 [INFO] [TRAIN] epoch=176, iter=65300/80000, loss=0.1506, lr=0.002177, batch_cost=0.5463, reader_cost=0.0001 | ETA 02:13:50 2020-12-17 03:48:55 [INFO] [TRAIN] epoch=176, iter=65310/80000, loss=0.1443, lr=0.002176, batch_cost=0.5458, reader_cost=0.0001 | ETA 02:13:37 2020-12-17 03:49:01 [INFO] [TRAIN] epoch=176, iter=65320/80000, loss=0.1780, lr=0.002174, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:12:00 2020-12-17 03:49:06 [INFO] [TRAIN] epoch=176, iter=65330/80000, loss=0.1838, lr=0.002173, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:12:19 2020-12-17 03:49:11 [INFO] [TRAIN] epoch=176, iter=65340/80000, loss=0.1810, lr=0.002172, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:11:31 2020-12-17 03:49:17 [INFO] [TRAIN] epoch=176, iter=65350/80000, loss=0.1697, lr=0.002170, batch_cost=0.5519, reader_cost=0.0001 | ETA 02:14:45 2020-12-17 03:49:22 [INFO] [TRAIN] epoch=176, iter=65360/80000, loss=0.1995, lr=0.002169, batch_cost=0.5336, reader_cost=0.0001 | ETA 02:10:12 2020-12-17 03:49:28 [INFO] [TRAIN] epoch=176, iter=65370/80000, loss=0.1519, lr=0.002168, batch_cost=0.5358, reader_cost=0.0001 | ETA 02:10:38 2020-12-17 03:49:33 [INFO] [TRAIN] epoch=176, iter=65380/80000, loss=0.1822, lr=0.002166, batch_cost=0.5552, reader_cost=0.0001 | ETA 02:15:17 2020-12-17 03:49:39 [INFO] [TRAIN] epoch=176, iter=65390/80000, loss=0.1513, lr=0.002165, batch_cost=0.5481, reader_cost=0.0001 | ETA 02:13:27 2020-12-17 03:49:44 [INFO] [TRAIN] epoch=176, iter=65400/80000, loss=0.1844, lr=0.002164, batch_cost=0.5417, reader_cost=0.0002 | ETA 02:11:49 2020-12-17 03:49:50 [INFO] [TRAIN] epoch=176, iter=65410/80000, loss=0.1384, lr=0.002162, batch_cost=0.5598, reader_cost=0.0001 | ETA 02:16:06 2020-12-17 03:49:55 [INFO] [TRAIN] epoch=176, iter=65420/80000, loss=0.1483, lr=0.002161, batch_cost=0.5434, reader_cost=0.0003 | ETA 02:12:02 2020-12-17 03:50:00 [INFO] [TRAIN] epoch=176, iter=65430/80000, loss=0.1894, lr=0.002160, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:11:17 2020-12-17 03:50:06 [INFO] [TRAIN] epoch=176, iter=65440/80000, loss=0.1555, lr=0.002158, batch_cost=0.5356, reader_cost=0.0001 | ETA 02:09:58 2020-12-17 03:50:11 [INFO] [TRAIN] epoch=176, iter=65450/80000, loss=0.1728, lr=0.002157, batch_cost=0.5485, reader_cost=0.0001 | ETA 02:13:00 2020-12-17 03:50:17 [INFO] [TRAIN] epoch=176, iter=65460/80000, loss=0.1917, lr=0.002156, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:11:48 2020-12-17 03:50:22 [INFO] [TRAIN] epoch=176, iter=65470/80000, loss=0.1616, lr=0.002154, batch_cost=0.5122, reader_cost=0.0001 | ETA 02:04:02 2020-12-17 03:50:28 [INFO] [TRAIN] epoch=177, iter=65480/80000, loss=0.1870, lr=0.002153, batch_cost=0.6316, reader_cost=0.0529 | ETA 02:32:50 2020-12-17 03:50:34 [INFO] [TRAIN] epoch=177, iter=65490/80000, loss=0.1536, lr=0.002152, batch_cost=0.5630, reader_cost=0.0001 | ETA 02:16:08 2020-12-17 03:50:39 [INFO] [TRAIN] epoch=177, iter=65500/80000, loss=0.1313, lr=0.002150, batch_cost=0.5566, reader_cost=0.0001 | ETA 02:14:30 2020-12-17 03:50:45 [INFO] [TRAIN] epoch=177, iter=65510/80000, loss=0.1554, lr=0.002149, batch_cost=0.5538, reader_cost=0.0001 | ETA 02:13:44 2020-12-17 03:50:50 [INFO] [TRAIN] epoch=177, iter=65520/80000, loss=0.1248, lr=0.002148, batch_cost=0.5483, reader_cost=0.0001 | ETA 02:12:18 2020-12-17 03:50:56 [INFO] [TRAIN] epoch=177, iter=65530/80000, loss=0.1359, lr=0.002146, batch_cost=0.5444, reader_cost=0.0001 | ETA 02:11:17 2020-12-17 03:51:01 [INFO] [TRAIN] epoch=177, iter=65540/80000, loss=0.1867, lr=0.002145, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:08:41 2020-12-17 03:51:07 [INFO] [TRAIN] epoch=177, iter=65550/80000, loss=0.1555, lr=0.002144, batch_cost=0.5468, reader_cost=0.0010 | ETA 02:11:41 2020-12-17 03:51:12 [INFO] [TRAIN] epoch=177, iter=65560/80000, loss=0.1519, lr=0.002142, batch_cost=0.5665, reader_cost=0.0001 | ETA 02:16:20 2020-12-17 03:51:18 [INFO] [TRAIN] epoch=177, iter=65570/80000, loss=0.1500, lr=0.002141, batch_cost=0.5494, reader_cost=0.0001 | ETA 02:12:08 2020-12-17 03:51:23 [INFO] [TRAIN] epoch=177, iter=65580/80000, loss=0.1917, lr=0.002140, batch_cost=0.5539, reader_cost=0.0001 | ETA 02:13:06 2020-12-17 03:51:29 [INFO] [TRAIN] epoch=177, iter=65590/80000, loss=0.1384, lr=0.002138, batch_cost=0.5370, reader_cost=0.0001 | ETA 02:08:58 2020-12-17 03:51:34 [INFO] [TRAIN] epoch=177, iter=65600/80000, loss=0.1566, lr=0.002137, batch_cost=0.5447, reader_cost=0.0001 | ETA 02:10:43 2020-12-17 03:51:40 [INFO] [TRAIN] epoch=177, iter=65610/80000, loss=0.1774, lr=0.002136, batch_cost=0.5455, reader_cost=0.0001 | ETA 02:10:49 2020-12-17 03:51:45 [INFO] [TRAIN] epoch=177, iter=65620/80000, loss=0.1374, lr=0.002134, batch_cost=0.5642, reader_cost=0.0001 | ETA 02:15:13 2020-12-17 03:51:51 [INFO] [TRAIN] epoch=177, iter=65630/80000, loss=0.1984, lr=0.002133, batch_cost=0.5271, reader_cost=0.0005 | ETA 02:06:14 2020-12-17 03:51:56 [INFO] [TRAIN] epoch=177, iter=65640/80000, loss=0.1542, lr=0.002131, batch_cost=0.5202, reader_cost=0.0001 | ETA 02:04:30 2020-12-17 03:52:01 [INFO] [TRAIN] epoch=177, iter=65650/80000, loss=0.1495, lr=0.002130, batch_cost=0.5358, reader_cost=0.0001 | ETA 02:08:08 2020-12-17 03:52:06 [INFO] [TRAIN] epoch=177, iter=65660/80000, loss=0.1851, lr=0.002129, batch_cost=0.5416, reader_cost=0.0002 | ETA 02:09:26 2020-12-17 03:52:12 [INFO] [TRAIN] epoch=177, iter=65670/80000, loss=0.2081, lr=0.002127, batch_cost=0.5470, reader_cost=0.0002 | ETA 02:10:38 2020-12-17 03:52:17 [INFO] [TRAIN] epoch=177, iter=65680/80000, loss=0.1571, lr=0.002126, batch_cost=0.5495, reader_cost=0.0003 | ETA 02:11:08 2020-12-17 03:52:23 [INFO] [TRAIN] epoch=177, iter=65690/80000, loss=0.1379, lr=0.002125, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:09:03 2020-12-17 03:52:28 [INFO] [TRAIN] epoch=177, iter=65700/80000, loss=0.1837, lr=0.002123, batch_cost=0.5467, reader_cost=0.0002 | ETA 02:10:17 2020-12-17 03:52:34 [INFO] [TRAIN] epoch=177, iter=65710/80000, loss=0.1331, lr=0.002122, batch_cost=0.5384, reader_cost=0.0013 | ETA 02:08:13 2020-12-17 03:52:39 [INFO] [TRAIN] epoch=177, iter=65720/80000, loss=0.1786, lr=0.002121, batch_cost=0.5291, reader_cost=0.0001 | ETA 02:05:55 2020-12-17 03:52:44 [INFO] [TRAIN] epoch=177, iter=65730/80000, loss=0.1678, lr=0.002119, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:07:00 2020-12-17 03:52:50 [INFO] [TRAIN] epoch=177, iter=65740/80000, loss=0.2723, lr=0.002118, batch_cost=0.5520, reader_cost=0.0001 | ETA 02:11:10 2020-12-17 03:52:55 [INFO] [TRAIN] epoch=177, iter=65750/80000, loss=0.1627, lr=0.002117, batch_cost=0.5377, reader_cost=0.0002 | ETA 02:07:41 2020-12-17 03:53:01 [INFO] [TRAIN] epoch=177, iter=65760/80000, loss=0.1732, lr=0.002115, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:09:06 2020-12-17 03:53:06 [INFO] [TRAIN] epoch=177, iter=65770/80000, loss=0.1529, lr=0.002114, batch_cost=0.5537, reader_cost=0.0001 | ETA 02:11:19 2020-12-17 03:53:12 [INFO] [TRAIN] epoch=177, iter=65780/80000, loss=0.1672, lr=0.002113, batch_cost=0.5432, reader_cost=0.0001 | ETA 02:08:44 2020-12-17 03:53:17 [INFO] [TRAIN] epoch=177, iter=65790/80000, loss=0.2028, lr=0.002111, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:07:55 2020-12-17 03:53:23 [INFO] [TRAIN] epoch=177, iter=65800/80000, loss=0.1409, lr=0.002110, batch_cost=0.5482, reader_cost=0.0001 | ETA 02:09:44 2020-12-17 03:53:28 [INFO] [TRAIN] epoch=177, iter=65810/80000, loss=0.1766, lr=0.002109, batch_cost=0.5533, reader_cost=0.0011 | ETA 02:10:51 2020-12-17 03:53:34 [INFO] [TRAIN] epoch=177, iter=65820/80000, loss=0.1102, lr=0.002107, batch_cost=0.5460, reader_cost=0.0001 | ETA 02:09:02 2020-12-17 03:53:39 [INFO] [TRAIN] epoch=177, iter=65830/80000, loss=0.2044, lr=0.002106, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:07:00 2020-12-17 03:53:44 [INFO] [TRAIN] epoch=177, iter=65840/80000, loss=0.1180, lr=0.002105, batch_cost=0.5457, reader_cost=0.0001 | ETA 02:08:47 2020-12-17 03:53:50 [INFO] [TRAIN] epoch=178, iter=65850/80000, loss=0.1337, lr=0.002103, batch_cost=0.6035, reader_cost=0.0515 | ETA 02:22:19 2020-12-17 03:53:56 [INFO] [TRAIN] epoch=178, iter=65860/80000, loss=0.1456, lr=0.002102, batch_cost=0.5422, reader_cost=0.0001 | ETA 02:07:46 2020-12-17 03:54:01 [INFO] [TRAIN] epoch=178, iter=65870/80000, loss=0.1336, lr=0.002101, batch_cost=0.5639, reader_cost=0.0001 | ETA 02:12:47 2020-12-17 03:54:07 [INFO] [TRAIN] epoch=178, iter=65880/80000, loss=0.1468, lr=0.002099, batch_cost=0.5561, reader_cost=0.0001 | ETA 02:10:52 2020-12-17 03:54:12 [INFO] [TRAIN] epoch=178, iter=65890/80000, loss=0.2283, lr=0.002098, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:07:55 2020-12-17 03:54:18 [INFO] [TRAIN] epoch=178, iter=65900/80000, loss=0.1821, lr=0.002097, batch_cost=0.5568, reader_cost=0.0001 | ETA 02:10:51 2020-12-17 03:54:23 [INFO] [TRAIN] epoch=178, iter=65910/80000, loss=0.1442, lr=0.002095, batch_cost=0.5371, reader_cost=0.0001 | ETA 02:06:07 2020-12-17 03:54:29 [INFO] [TRAIN] epoch=178, iter=65920/80000, loss=0.1938, lr=0.002094, batch_cost=0.5350, reader_cost=0.0001 | ETA 02:05:32 2020-12-17 03:54:34 [INFO] [TRAIN] epoch=178, iter=65930/80000, loss=0.1850, lr=0.002093, batch_cost=0.5527, reader_cost=0.0001 | ETA 02:09:36 2020-12-17 03:54:40 [INFO] [TRAIN] epoch=178, iter=65940/80000, loss=0.1186, lr=0.002091, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:06:39 2020-12-17 03:54:45 [INFO] [TRAIN] epoch=178, iter=65950/80000, loss=0.1557, lr=0.002090, batch_cost=0.5350, reader_cost=0.0003 | ETA 02:05:16 2020-12-17 03:54:50 [INFO] [TRAIN] epoch=178, iter=65960/80000, loss=0.1984, lr=0.002089, batch_cost=0.5276, reader_cost=0.0001 | ETA 02:03:27 2020-12-17 03:54:56 [INFO] [TRAIN] epoch=178, iter=65970/80000, loss=0.1727, lr=0.002087, batch_cost=0.5320, reader_cost=0.0002 | ETA 02:04:23 2020-12-17 03:55:01 [INFO] [TRAIN] epoch=178, iter=65980/80000, loss=0.2153, lr=0.002086, batch_cost=0.5539, reader_cost=0.0003 | ETA 02:09:25 2020-12-17 03:55:06 [INFO] [TRAIN] epoch=178, iter=65990/80000, loss=0.1658, lr=0.002085, batch_cost=0.5289, reader_cost=0.0001 | ETA 02:03:30 2020-12-17 03:55:12 [INFO] [TRAIN] epoch=178, iter=66000/80000, loss=0.2071, lr=0.002083, batch_cost=0.5329, reader_cost=0.0001 | ETA 02:04:20 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:55:12 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 03:55:46 [INFO] [EVAL] #Images=500 mIoU=0.7803 Acc=0.9605 Kappa=0.9487 2020-12-17 03:55:46 [INFO] [EVAL] Class IoU: [0.9822 0.8579 0.9233 0.5446 0.6247 0.597 0.7006 0.778 0.9235 0.6572 0.9463 0.8123 0.6187 0.9495 0.8239 0.8778 0.8123 0.6289 0.7662] 2020-12-17 03:55:46 [INFO] [EVAL] Class Acc: [0.9925 0.9212 0.9516 0.8602 0.7924 0.7907 0.8189 0.9025 0.9548 0.8566 0.9682 0.878 0.8121 0.9722 0.9566 0.9429 0.9451 0.8763 0.84 ] 2020-12-17 03:55:50 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 03:55:55 [INFO] [TRAIN] epoch=178, iter=66010/80000, loss=0.1497, lr=0.002082, batch_cost=0.5322, reader_cost=0.0001 | ETA 02:04:05 2020-12-17 03:56:00 [INFO] [TRAIN] epoch=178, iter=66020/80000, loss=0.1161, lr=0.002081, batch_cost=0.5246, reader_cost=0.0001 | ETA 02:02:14 2020-12-17 03:56:06 [INFO] [TRAIN] epoch=178, iter=66030/80000, loss=0.1952, lr=0.002079, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:06:01 2020-12-17 03:56:11 [INFO] [TRAIN] epoch=178, iter=66040/80000, loss=0.1720, lr=0.002078, batch_cost=0.5448, reader_cost=0.0001 | ETA 02:06:46 2020-12-17 03:56:17 [INFO] [TRAIN] epoch=178, iter=66050/80000, loss=0.1528, lr=0.002077, batch_cost=0.5447, reader_cost=0.0002 | ETA 02:06:38 2020-12-17 03:56:22 [INFO] [TRAIN] epoch=178, iter=66060/80000, loss=0.1410, lr=0.002075, batch_cost=0.5352, reader_cost=0.0001 | ETA 02:04:20 2020-12-17 03:56:27 [INFO] [TRAIN] epoch=178, iter=66070/80000, loss=0.1971, lr=0.002074, batch_cost=0.5515, reader_cost=0.0001 | ETA 02:08:02 2020-12-17 03:56:33 [INFO] [TRAIN] epoch=178, iter=66080/80000, loss=0.1465, lr=0.002073, batch_cost=0.5544, reader_cost=0.0006 | ETA 02:08:36 2020-12-17 03:56:38 [INFO] [TRAIN] epoch=178, iter=66090/80000, loss=0.2069, lr=0.002071, batch_cost=0.5470, reader_cost=0.0001 | ETA 02:06:48 2020-12-17 03:56:44 [INFO] [TRAIN] epoch=178, iter=66100/80000, loss=0.1844, lr=0.002070, batch_cost=0.5485, reader_cost=0.0001 | ETA 02:07:04 2020-12-17 03:56:49 [INFO] [TRAIN] epoch=178, iter=66110/80000, loss=0.1480, lr=0.002069, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:05:35 2020-12-17 03:56:55 [INFO] [TRAIN] epoch=178, iter=66120/80000, loss=0.1754, lr=0.002067, batch_cost=0.5488, reader_cost=0.0001 | ETA 02:06:57 2020-12-17 03:57:00 [INFO] [TRAIN] epoch=178, iter=66130/80000, loss=0.1454, lr=0.002066, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:03:58 2020-12-17 03:57:06 [INFO] [TRAIN] epoch=178, iter=66140/80000, loss=0.1967, lr=0.002065, batch_cost=0.5441, reader_cost=0.0001 | ETA 02:05:41 2020-12-17 03:57:11 [INFO] [TRAIN] epoch=178, iter=66150/80000, loss=0.1445, lr=0.002063, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:04:48 2020-12-17 03:57:17 [INFO] [TRAIN] epoch=178, iter=66160/80000, loss=0.1869, lr=0.002062, batch_cost=0.5521, reader_cost=0.0001 | ETA 02:07:21 2020-12-17 03:57:22 [INFO] [TRAIN] epoch=178, iter=66170/80000, loss=0.1479, lr=0.002061, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:05:06 2020-12-17 03:57:27 [INFO] [TRAIN] epoch=178, iter=66180/80000, loss=0.1290, lr=0.002059, batch_cost=0.5517, reader_cost=0.0001 | ETA 02:07:04 2020-12-17 03:57:33 [INFO] [TRAIN] epoch=178, iter=66190/80000, loss=0.1513, lr=0.002058, batch_cost=0.5485, reader_cost=0.0003 | ETA 02:06:14 2020-12-17 03:57:38 [INFO] [TRAIN] epoch=178, iter=66200/80000, loss=0.1692, lr=0.002057, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:05:14 2020-12-17 03:57:44 [INFO] [TRAIN] epoch=178, iter=66210/80000, loss=0.2182, lr=0.002055, batch_cost=0.5566, reader_cost=0.0002 | ETA 02:07:55 2020-12-17 03:57:50 [INFO] [TRAIN] epoch=179, iter=66220/80000, loss=0.1749, lr=0.002054, batch_cost=0.5845, reader_cost=0.0540 | ETA 02:14:14 2020-12-17 03:57:55 [INFO] [TRAIN] epoch=179, iter=66230/80000, loss=0.1431, lr=0.002053, batch_cost=0.5491, reader_cost=0.0002 | ETA 02:06:01 2020-12-17 03:58:01 [INFO] [TRAIN] epoch=179, iter=66240/80000, loss=0.1588, lr=0.002051, batch_cost=0.5663, reader_cost=0.0001 | ETA 02:09:51 2020-12-17 03:58:06 [INFO] [TRAIN] epoch=179, iter=66250/80000, loss=0.1990, lr=0.002050, batch_cost=0.5489, reader_cost=0.0001 | ETA 02:05:47 2020-12-17 03:58:12 [INFO] [TRAIN] epoch=179, iter=66260/80000, loss=0.1989, lr=0.002048, batch_cost=0.5395, reader_cost=0.0002 | ETA 02:03:32 2020-12-17 03:58:17 [INFO] [TRAIN] epoch=179, iter=66270/80000, loss=0.2059, lr=0.002047, batch_cost=0.5337, reader_cost=0.0002 | ETA 02:02:07 2020-12-17 03:58:23 [INFO] [TRAIN] epoch=179, iter=66280/80000, loss=0.1418, lr=0.002046, batch_cost=0.5354, reader_cost=0.0001 | ETA 02:02:25 2020-12-17 03:58:28 [INFO] [TRAIN] epoch=179, iter=66290/80000, loss=0.1491, lr=0.002044, batch_cost=0.5557, reader_cost=0.0001 | ETA 02:06:58 2020-12-17 03:58:34 [INFO] [TRAIN] epoch=179, iter=66300/80000, loss=0.1778, lr=0.002043, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:03:05 2020-12-17 03:58:39 [INFO] [TRAIN] epoch=179, iter=66310/80000, loss=0.1650, lr=0.002042, batch_cost=0.5538, reader_cost=0.0001 | ETA 02:06:21 2020-12-17 03:58:45 [INFO] [TRAIN] epoch=179, iter=66320/80000, loss=0.1900, lr=0.002040, batch_cost=0.5495, reader_cost=0.0001 | ETA 02:05:16 2020-12-17 03:58:50 [INFO] [TRAIN] epoch=179, iter=66330/80000, loss=0.2383, lr=0.002039, batch_cost=0.5350, reader_cost=0.0001 | ETA 02:01:52 2020-12-17 03:58:55 [INFO] [TRAIN] epoch=179, iter=66340/80000, loss=0.1809, lr=0.002038, batch_cost=0.5576, reader_cost=0.0001 | ETA 02:06:56 2020-12-17 03:59:01 [INFO] [TRAIN] epoch=179, iter=66350/80000, loss=0.1816, lr=0.002036, batch_cost=0.5553, reader_cost=0.0001 | ETA 02:06:20 2020-12-17 03:59:06 [INFO] [TRAIN] epoch=179, iter=66360/80000, loss=0.1546, lr=0.002035, batch_cost=0.5484, reader_cost=0.0002 | ETA 02:04:39 2020-12-17 03:59:12 [INFO] [TRAIN] epoch=179, iter=66370/80000, loss=0.1692, lr=0.002034, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:02:39 2020-12-17 03:59:17 [INFO] [TRAIN] epoch=179, iter=66380/80000, loss=0.1322, lr=0.002032, batch_cost=0.5427, reader_cost=0.0001 | ETA 02:03:11 2020-12-17 03:59:23 [INFO] [TRAIN] epoch=179, iter=66390/80000, loss=0.1653, lr=0.002031, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:02:07 2020-12-17 03:59:28 [INFO] [TRAIN] epoch=179, iter=66400/80000, loss=0.1434, lr=0.002030, batch_cost=0.5252, reader_cost=0.0002 | ETA 01:59:02 2020-12-17 03:59:33 [INFO] [TRAIN] epoch=179, iter=66410/80000, loss=0.1455, lr=0.002028, batch_cost=0.5494, reader_cost=0.0001 | ETA 02:04:27 2020-12-17 03:59:39 [INFO] [TRAIN] epoch=179, iter=66420/80000, loss=0.1426, lr=0.002027, batch_cost=0.5555, reader_cost=0.0012 | ETA 02:05:43 2020-12-17 03:59:44 [INFO] [TRAIN] epoch=179, iter=66430/80000, loss=0.1783, lr=0.002026, batch_cost=0.5379, reader_cost=0.0004 | ETA 02:01:38 2020-12-17 03:59:50 [INFO] [TRAIN] epoch=179, iter=66440/80000, loss=0.2105, lr=0.002024, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:01:12 2020-12-17 03:59:55 [INFO] [TRAIN] epoch=179, iter=66450/80000, loss=0.1274, lr=0.002023, batch_cost=0.5532, reader_cost=0.0001 | ETA 02:04:56 2020-12-17 04:00:01 [INFO] [TRAIN] epoch=179, iter=66460/80000, loss=0.1607, lr=0.002022, batch_cost=0.5436, reader_cost=0.0002 | ETA 02:02:40 2020-12-17 04:00:06 [INFO] [TRAIN] epoch=179, iter=66470/80000, loss=0.1648, lr=0.002020, batch_cost=0.5330, reader_cost=0.0022 | ETA 02:00:11 2020-12-17 04:00:11 [INFO] [TRAIN] epoch=179, iter=66480/80000, loss=0.1695, lr=0.002019, batch_cost=0.5432, reader_cost=0.0001 | ETA 02:02:24 2020-12-17 04:00:17 [INFO] [TRAIN] epoch=179, iter=66490/80000, loss=0.1411, lr=0.002018, batch_cost=0.5437, reader_cost=0.0001 | ETA 02:02:25 2020-12-17 04:00:23 [INFO] [TRAIN] epoch=179, iter=66500/80000, loss=0.1886, lr=0.002016, batch_cost=0.5581, reader_cost=0.0002 | ETA 02:05:34 2020-12-17 04:00:28 [INFO] [TRAIN] epoch=179, iter=66510/80000, loss=0.1545, lr=0.002015, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:01:01 2020-12-17 04:00:33 [INFO] [TRAIN] epoch=179, iter=66520/80000, loss=0.1577, lr=0.002014, batch_cost=0.5452, reader_cost=0.0001 | ETA 02:02:29 2020-12-17 04:00:39 [INFO] [TRAIN] epoch=179, iter=66530/80000, loss=0.1850, lr=0.002012, batch_cost=0.5467, reader_cost=0.0001 | ETA 02:02:43 2020-12-17 04:00:44 [INFO] [TRAIN] epoch=179, iter=66540/80000, loss=0.1782, lr=0.002011, batch_cost=0.5450, reader_cost=0.0001 | ETA 02:02:16 2020-12-17 04:00:50 [INFO] [TRAIN] epoch=179, iter=66550/80000, loss=0.1909, lr=0.002010, batch_cost=0.5450, reader_cost=0.0002 | ETA 02:02:10 2020-12-17 04:00:55 [INFO] [TRAIN] epoch=179, iter=66560/80000, loss=0.1755, lr=0.002008, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:00:52 2020-12-17 04:01:01 [INFO] [TRAIN] epoch=179, iter=66570/80000, loss=0.1631, lr=0.002007, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:00:59 2020-12-17 04:01:06 [INFO] [TRAIN] epoch=179, iter=66580/80000, loss=0.1406, lr=0.002006, batch_cost=0.5334, reader_cost=0.0001 | ETA 01:59:18 2020-12-17 04:01:12 [INFO] [TRAIN] epoch=180, iter=66590/80000, loss=0.1669, lr=0.002004, batch_cost=0.5734, reader_cost=0.0608 | ETA 02:08:08 2020-12-17 04:01:17 [INFO] [TRAIN] epoch=180, iter=66600/80000, loss=0.1706, lr=0.002003, batch_cost=0.5677, reader_cost=0.0001 | ETA 02:06:46 2020-12-17 04:01:23 [INFO] [TRAIN] epoch=180, iter=66610/80000, loss=0.1844, lr=0.002001, batch_cost=0.5740, reader_cost=0.0020 | ETA 02:08:06 2020-12-17 04:01:29 [INFO] [TRAIN] epoch=180, iter=66620/80000, loss=0.1582, lr=0.002000, batch_cost=0.5516, reader_cost=0.0001 | ETA 02:02:59 2020-12-17 04:01:34 [INFO] [TRAIN] epoch=180, iter=66630/80000, loss=0.3233, lr=0.001999, batch_cost=0.5447, reader_cost=0.0001 | ETA 02:01:22 2020-12-17 04:01:39 [INFO] [TRAIN] epoch=180, iter=66640/80000, loss=0.1876, lr=0.001997, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:00:39 2020-12-17 04:01:45 [INFO] [TRAIN] epoch=180, iter=66650/80000, loss=0.1892, lr=0.001996, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:59:06 2020-12-17 04:01:50 [INFO] [TRAIN] epoch=180, iter=66660/80000, loss=0.1458, lr=0.001995, batch_cost=0.5336, reader_cost=0.0001 | ETA 01:58:38 2020-12-17 04:01:56 [INFO] [TRAIN] epoch=180, iter=66670/80000, loss=0.2278, lr=0.001993, batch_cost=0.5482, reader_cost=0.0002 | ETA 02:01:46 2020-12-17 04:02:01 [INFO] [TRAIN] epoch=180, iter=66680/80000, loss=0.1287, lr=0.001992, batch_cost=0.5582, reader_cost=0.0001 | ETA 02:03:54 2020-12-17 04:02:07 [INFO] [TRAIN] epoch=180, iter=66690/80000, loss=0.1766, lr=0.001991, batch_cost=0.5536, reader_cost=0.0001 | ETA 02:02:48 2020-12-17 04:02:12 [INFO] [TRAIN] epoch=180, iter=66700/80000, loss=0.1640, lr=0.001989, batch_cost=0.5303, reader_cost=0.0001 | ETA 01:57:33 2020-12-17 04:02:17 [INFO] [TRAIN] epoch=180, iter=66710/80000, loss=0.1466, lr=0.001988, batch_cost=0.5468, reader_cost=0.0002 | ETA 02:01:06 2020-12-17 04:02:23 [INFO] [TRAIN] epoch=180, iter=66720/80000, loss=0.1871, lr=0.001987, batch_cost=0.5438, reader_cost=0.0001 | ETA 02:00:22 2020-12-17 04:02:28 [INFO] [TRAIN] epoch=180, iter=66730/80000, loss=0.1972, lr=0.001985, batch_cost=0.5437, reader_cost=0.0001 | ETA 02:00:15 2020-12-17 04:02:34 [INFO] [TRAIN] epoch=180, iter=66740/80000, loss=0.1515, lr=0.001984, batch_cost=0.5502, reader_cost=0.0001 | ETA 02:01:35 2020-12-17 04:02:39 [INFO] [TRAIN] epoch=180, iter=66750/80000, loss=0.1598, lr=0.001983, batch_cost=0.5443, reader_cost=0.0002 | ETA 02:00:11 2020-12-17 04:02:45 [INFO] [TRAIN] epoch=180, iter=66760/80000, loss=0.1853, lr=0.001981, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:00:41 2020-12-17 04:02:50 [INFO] [TRAIN] epoch=180, iter=66770/80000, loss=0.1412, lr=0.001980, batch_cost=0.5513, reader_cost=0.0002 | ETA 02:01:34 2020-12-17 04:02:56 [INFO] [TRAIN] epoch=180, iter=66780/80000, loss=0.1789, lr=0.001979, batch_cost=0.5300, reader_cost=0.0001 | ETA 01:56:46 2020-12-17 04:03:01 [INFO] [TRAIN] epoch=180, iter=66790/80000, loss=0.1349, lr=0.001977, batch_cost=0.5476, reader_cost=0.0001 | ETA 02:00:34 2020-12-17 04:03:07 [INFO] [TRAIN] epoch=180, iter=66800/80000, loss=0.2051, lr=0.001976, batch_cost=0.5518, reader_cost=0.0003 | ETA 02:01:23 2020-12-17 04:03:12 [INFO] [TRAIN] epoch=180, iter=66810/80000, loss=0.1666, lr=0.001975, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:58:21 2020-12-17 04:03:17 [INFO] [TRAIN] epoch=180, iter=66820/80000, loss=0.1525, lr=0.001973, batch_cost=0.5498, reader_cost=0.0002 | ETA 02:00:46 2020-12-17 04:03:23 [INFO] [TRAIN] epoch=180, iter=66830/80000, loss=0.1602, lr=0.001972, batch_cost=0.5541, reader_cost=0.0001 | ETA 02:01:36 2020-12-17 04:03:29 [INFO] [TRAIN] epoch=180, iter=66840/80000, loss=0.1557, lr=0.001971, batch_cost=0.5631, reader_cost=0.0010 | ETA 02:03:30 2020-12-17 04:03:34 [INFO] [TRAIN] epoch=180, iter=66850/80000, loss=0.2037, lr=0.001969, batch_cost=0.5459, reader_cost=0.0001 | ETA 01:59:37 2020-12-17 04:03:40 [INFO] [TRAIN] epoch=180, iter=66860/80000, loss=0.1648, lr=0.001968, batch_cost=0.5477, reader_cost=0.0001 | ETA 01:59:56 2020-12-17 04:03:45 [INFO] [TRAIN] epoch=180, iter=66870/80000, loss=0.1449, lr=0.001966, batch_cost=0.5595, reader_cost=0.0001 | ETA 02:02:26 2020-12-17 04:03:51 [INFO] [TRAIN] epoch=180, iter=66880/80000, loss=0.1627, lr=0.001965, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:58:48 2020-12-17 04:03:56 [INFO] [TRAIN] epoch=180, iter=66890/80000, loss=0.1564, lr=0.001964, batch_cost=0.5549, reader_cost=0.0001 | ETA 02:01:15 2020-12-17 04:04:01 [INFO] [TRAIN] epoch=180, iter=66900/80000, loss=0.1799, lr=0.001962, batch_cost=0.5341, reader_cost=0.0002 | ETA 01:56:36 2020-12-17 04:04:07 [INFO] [TRAIN] epoch=180, iter=66910/80000, loss=0.1921, lr=0.001961, batch_cost=0.5515, reader_cost=0.0001 | ETA 02:00:18 2020-12-17 04:04:13 [INFO] [TRAIN] epoch=180, iter=66920/80000, loss=0.1495, lr=0.001960, batch_cost=0.5525, reader_cost=0.0001 | ETA 02:00:26 2020-12-17 04:04:18 [INFO] [TRAIN] epoch=180, iter=66930/80000, loss=0.1646, lr=0.001958, batch_cost=0.5543, reader_cost=0.0001 | ETA 02:00:44 2020-12-17 04:04:23 [INFO] [TRAIN] epoch=180, iter=66940/80000, loss=0.1822, lr=0.001957, batch_cost=0.5344, reader_cost=0.0001 | ETA 01:56:19 2020-12-17 04:04:29 [INFO] [TRAIN] epoch=180, iter=66950/80000, loss=0.1547, lr=0.001956, batch_cost=0.5438, reader_cost=0.0001 | ETA 01:58:16 2020-12-17 04:04:34 [INFO] [TRAIN] epoch=180, iter=66960/80000, loss=0.1631, lr=0.001954, batch_cost=0.4983, reader_cost=0.0001 | ETA 01:48:18 2020-12-17 04:04:40 [INFO] [TRAIN] epoch=181, iter=66970/80000, loss=0.1523, lr=0.001953, batch_cost=0.6245, reader_cost=0.0652 | ETA 02:15:37 2020-12-17 04:04:46 [INFO] [TRAIN] epoch=181, iter=66980/80000, loss=0.1862, lr=0.001952, batch_cost=0.5694, reader_cost=0.0002 | ETA 02:03:34 2020-12-17 04:04:51 [INFO] [TRAIN] epoch=181, iter=66990/80000, loss=0.1887, lr=0.001950, batch_cost=0.5632, reader_cost=0.0003 | ETA 02:02:07 2020-12-17 04:04:57 [INFO] [TRAIN] epoch=181, iter=67000/80000, loss=0.1832, lr=0.001949, batch_cost=0.5569, reader_cost=0.0001 | ETA 02:00:40 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 04:04:57 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 04:05:31 [INFO] [EVAL] #Images=500 mIoU=0.7843 Acc=0.9607 Kappa=0.9490 2020-12-17 04:05:31 [INFO] [EVAL] Class IoU: [0.9827 0.8574 0.923 0.5615 0.605 0.6014 0.7013 0.7806 0.9231 0.6495 0.9458 0.8096 0.6058 0.9506 0.8543 0.8914 0.8287 0.6569 0.7721] 2020-12-17 04:05:31 [INFO] [EVAL] Class Acc: [0.992 0.9235 0.9527 0.8532 0.8468 0.7838 0.8286 0.9049 0.952 0.8706 0.9686 0.8685 0.8287 0.9733 0.9288 0.9444 0.9456 0.8169 0.8562] 2020-12-17 04:05:35 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 04:05:40 [INFO] [TRAIN] epoch=181, iter=67010/80000, loss=0.1557, lr=0.001948, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:57:17 2020-12-17 04:05:46 [INFO] [TRAIN] epoch=181, iter=67020/80000, loss=0.1422, lr=0.001946, batch_cost=0.5499, reader_cost=0.0001 | ETA 01:58:57 2020-12-17 04:05:51 [INFO] [TRAIN] epoch=181, iter=67030/80000, loss=0.1721, lr=0.001945, batch_cost=0.5318, reader_cost=0.0001 | ETA 01:54:57 2020-12-17 04:05:57 [INFO] [TRAIN] epoch=181, iter=67040/80000, loss=0.1499, lr=0.001944, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:56:39 2020-12-17 04:06:02 [INFO] [TRAIN] epoch=181, iter=67050/80000, loss=0.1518, lr=0.001942, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:55:35 2020-12-17 04:06:07 [INFO] [TRAIN] epoch=181, iter=67060/80000, loss=0.1545, lr=0.001941, batch_cost=0.5454, reader_cost=0.0002 | ETA 01:57:36 2020-12-17 04:06:13 [INFO] [TRAIN] epoch=181, iter=67070/80000, loss=0.1450, lr=0.001939, batch_cost=0.5348, reader_cost=0.0001 | ETA 01:55:15 2020-12-17 04:06:18 [INFO] [TRAIN] epoch=181, iter=67080/80000, loss=0.1314, lr=0.001938, batch_cost=0.5598, reader_cost=0.0002 | ETA 02:00:33 2020-12-17 04:06:24 [INFO] [TRAIN] epoch=181, iter=67090/80000, loss=0.1687, lr=0.001937, batch_cost=0.5572, reader_cost=0.0001 | ETA 01:59:52 2020-12-17 04:06:29 [INFO] [TRAIN] epoch=181, iter=67100/80000, loss=0.1175, lr=0.001935, batch_cost=0.5319, reader_cost=0.0001 | ETA 01:54:21 2020-12-17 04:06:35 [INFO] [TRAIN] epoch=181, iter=67110/80000, loss=0.1366, lr=0.001934, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:55:42 2020-12-17 04:06:40 [INFO] [TRAIN] epoch=181, iter=67120/80000, loss=0.1791, lr=0.001933, batch_cost=0.5479, reader_cost=0.0003 | ETA 01:57:37 2020-12-17 04:06:46 [INFO] [TRAIN] epoch=181, iter=67130/80000, loss=0.1896, lr=0.001931, batch_cost=0.5527, reader_cost=0.0001 | ETA 01:58:32 2020-12-17 04:06:51 [INFO] [TRAIN] epoch=181, iter=67140/80000, loss=0.1712, lr=0.001930, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:55:47 2020-12-17 04:06:56 [INFO] [TRAIN] epoch=181, iter=67150/80000, loss=0.1231, lr=0.001929, batch_cost=0.5342, reader_cost=0.0001 | ETA 01:54:24 2020-12-17 04:07:02 [INFO] [TRAIN] epoch=181, iter=67160/80000, loss=0.1482, lr=0.001927, batch_cost=0.5312, reader_cost=0.0001 | ETA 01:53:41 2020-12-17 04:07:07 [INFO] [TRAIN] epoch=181, iter=67170/80000, loss=0.1405, lr=0.001926, batch_cost=0.5290, reader_cost=0.0001 | ETA 01:53:06 2020-12-17 04:07:13 [INFO] [TRAIN] epoch=181, iter=67180/80000, loss=0.1534, lr=0.001925, batch_cost=0.5545, reader_cost=0.0001 | ETA 01:58:28 2020-12-17 04:07:18 [INFO] [TRAIN] epoch=181, iter=67190/80000, loss=0.1555, lr=0.001923, batch_cost=0.5580, reader_cost=0.0001 | ETA 01:59:08 2020-12-17 04:07:24 [INFO] [TRAIN] epoch=181, iter=67200/80000, loss=0.1847, lr=0.001922, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:54:45 2020-12-17 04:07:29 [INFO] [TRAIN] epoch=181, iter=67210/80000, loss=0.2068, lr=0.001921, batch_cost=0.5434, reader_cost=0.0002 | ETA 01:55:49 2020-12-17 04:07:34 [INFO] [TRAIN] epoch=181, iter=67220/80000, loss=0.1403, lr=0.001919, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:54:54 2020-12-17 04:07:40 [INFO] [TRAIN] epoch=181, iter=67230/80000, loss=0.1286, lr=0.001918, batch_cost=0.5324, reader_cost=0.0001 | ETA 01:53:18 2020-12-17 04:07:45 [INFO] [TRAIN] epoch=181, iter=67240/80000, loss=0.1458, lr=0.001917, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:54:43 2020-12-17 04:07:51 [INFO] [TRAIN] epoch=181, iter=67250/80000, loss=0.1290, lr=0.001915, batch_cost=0.5456, reader_cost=0.0001 | ETA 01:55:55 2020-12-17 04:07:56 [INFO] [TRAIN] epoch=181, iter=67260/80000, loss=0.1417, lr=0.001914, batch_cost=0.5448, reader_cost=0.0003 | ETA 01:55:41 2020-12-17 04:08:01 [INFO] [TRAIN] epoch=181, iter=67270/80000, loss=0.1556, lr=0.001912, batch_cost=0.5274, reader_cost=0.0001 | ETA 01:51:53 2020-12-17 04:08:07 [INFO] [TRAIN] epoch=181, iter=67280/80000, loss=0.1443, lr=0.001911, batch_cost=0.5532, reader_cost=0.0001 | ETA 01:57:16 2020-12-17 04:08:12 [INFO] [TRAIN] epoch=181, iter=67290/80000, loss=0.2130, lr=0.001910, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:55:08 2020-12-17 04:08:18 [INFO] [TRAIN] epoch=181, iter=67300/80000, loss=0.1547, lr=0.001908, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:54:20 2020-12-17 04:08:23 [INFO] [TRAIN] epoch=181, iter=67310/80000, loss=0.1238, lr=0.001907, batch_cost=0.5376, reader_cost=0.0002 | ETA 01:53:42 2020-12-17 04:08:29 [INFO] [TRAIN] epoch=181, iter=67320/80000, loss=0.1941, lr=0.001906, batch_cost=0.5534, reader_cost=0.0003 | ETA 01:56:57 2020-12-17 04:08:34 [INFO] [TRAIN] epoch=181, iter=67330/80000, loss=0.1938, lr=0.001904, batch_cost=0.5344, reader_cost=0.0001 | ETA 01:52:50 2020-12-17 04:08:40 [INFO] [TRAIN] epoch=182, iter=67340/80000, loss=0.1382, lr=0.001903, batch_cost=0.6308, reader_cost=0.0550 | ETA 02:13:05 2020-12-17 04:08:46 [INFO] [TRAIN] epoch=182, iter=67350/80000, loss=0.2583, lr=0.001902, batch_cost=0.5790, reader_cost=0.0001 | ETA 02:02:04 2020-12-17 04:08:52 [INFO] [TRAIN] epoch=182, iter=67360/80000, loss=0.1769, lr=0.001900, batch_cost=0.5581, reader_cost=0.0001 | ETA 01:57:34 2020-12-17 04:08:57 [INFO] [TRAIN] epoch=182, iter=67370/80000, loss=0.1673, lr=0.001899, batch_cost=0.5603, reader_cost=0.0001 | ETA 01:57:56 2020-12-17 04:09:03 [INFO] [TRAIN] epoch=182, iter=67380/80000, loss=0.1811, lr=0.001898, batch_cost=0.5491, reader_cost=0.0002 | ETA 01:55:30 2020-12-17 04:09:08 [INFO] [TRAIN] epoch=182, iter=67390/80000, loss=0.1744, lr=0.001896, batch_cost=0.5261, reader_cost=0.0002 | ETA 01:50:34 2020-12-17 04:09:13 [INFO] [TRAIN] epoch=182, iter=67400/80000, loss=0.1388, lr=0.001895, batch_cost=0.5453, reader_cost=0.0001 | ETA 01:54:31 2020-12-17 04:09:19 [INFO] [TRAIN] epoch=182, iter=67410/80000, loss=0.1533, lr=0.001894, batch_cost=0.5695, reader_cost=0.0003 | ETA 01:59:29 2020-12-17 04:09:25 [INFO] [TRAIN] epoch=182, iter=67420/80000, loss=0.1909, lr=0.001892, batch_cost=0.5405, reader_cost=0.0002 | ETA 01:53:19 2020-12-17 04:09:30 [INFO] [TRAIN] epoch=182, iter=67430/80000, loss=0.1409, lr=0.001891, batch_cost=0.5588, reader_cost=0.0001 | ETA 01:57:04 2020-12-17 04:09:36 [INFO] [TRAIN] epoch=182, iter=67440/80000, loss=0.1554, lr=0.001889, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:53:13 2020-12-17 04:09:41 [INFO] [TRAIN] epoch=182, iter=67450/80000, loss=0.1765, lr=0.001888, batch_cost=0.5503, reader_cost=0.0001 | ETA 01:55:06 2020-12-17 04:09:47 [INFO] [TRAIN] epoch=182, iter=67460/80000, loss=0.1953, lr=0.001887, batch_cost=0.5546, reader_cost=0.0001 | ETA 01:55:54 2020-12-17 04:09:52 [INFO] [TRAIN] epoch=182, iter=67470/80000, loss=0.1725, lr=0.001885, batch_cost=0.5471, reader_cost=0.0001 | ETA 01:54:14 2020-12-17 04:09:57 [INFO] [TRAIN] epoch=182, iter=67480/80000, loss=0.1074, lr=0.001884, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:52:54 2020-12-17 04:10:03 [INFO] [TRAIN] epoch=182, iter=67490/80000, loss=0.1416, lr=0.001883, batch_cost=0.5417, reader_cost=0.0002 | ETA 01:52:57 2020-12-17 04:10:08 [INFO] [TRAIN] epoch=182, iter=67500/80000, loss=0.1883, lr=0.001881, batch_cost=0.5298, reader_cost=0.0001 | ETA 01:50:22 2020-12-17 04:10:14 [INFO] [TRAIN] epoch=182, iter=67510/80000, loss=0.1482, lr=0.001880, batch_cost=0.5458, reader_cost=0.0001 | ETA 01:53:37 2020-12-17 04:10:19 [INFO] [TRAIN] epoch=182, iter=67520/80000, loss=0.1460, lr=0.001879, batch_cost=0.5547, reader_cost=0.0001 | ETA 01:55:22 2020-12-17 04:10:25 [INFO] [TRAIN] epoch=182, iter=67530/80000, loss=0.2511, lr=0.001877, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:51:49 2020-12-17 04:10:30 [INFO] [TRAIN] epoch=182, iter=67540/80000, loss=0.1645, lr=0.001876, batch_cost=0.5518, reader_cost=0.0001 | ETA 01:54:35 2020-12-17 04:10:36 [INFO] [TRAIN] epoch=182, iter=67550/80000, loss=0.1412, lr=0.001875, batch_cost=0.5472, reader_cost=0.0002 | ETA 01:53:32 2020-12-17 04:10:41 [INFO] [TRAIN] epoch=182, iter=67560/80000, loss=0.1376, lr=0.001873, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:51:24 2020-12-17 04:10:46 [INFO] [TRAIN] epoch=182, iter=67570/80000, loss=0.2028, lr=0.001872, batch_cost=0.5449, reader_cost=0.0001 | ETA 01:52:53 2020-12-17 04:10:52 [INFO] [TRAIN] epoch=182, iter=67580/80000, loss=0.1050, lr=0.001871, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:51:07 2020-12-17 04:10:57 [INFO] [TRAIN] epoch=182, iter=67590/80000, loss=0.1466, lr=0.001869, batch_cost=0.5370, reader_cost=0.0001 | ETA 01:51:04 2020-12-17 04:11:02 [INFO] [TRAIN] epoch=182, iter=67600/80000, loss=0.1840, lr=0.001868, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:50:46 2020-12-17 04:11:08 [INFO] [TRAIN] epoch=182, iter=67610/80000, loss=0.1963, lr=0.001866, batch_cost=0.5485, reader_cost=0.0001 | ETA 01:53:15 2020-12-17 04:11:13 [INFO] [TRAIN] epoch=182, iter=67620/80000, loss=0.1801, lr=0.001865, batch_cost=0.5417, reader_cost=0.0002 | ETA 01:51:46 2020-12-17 04:11:19 [INFO] [TRAIN] epoch=182, iter=67630/80000, loss=0.1671, lr=0.001864, batch_cost=0.5584, reader_cost=0.0001 | ETA 01:55:07 2020-12-17 04:11:24 [INFO] [TRAIN] epoch=182, iter=67640/80000, loss=0.1796, lr=0.001862, batch_cost=0.5448, reader_cost=0.0001 | ETA 01:52:13 2020-12-17 04:11:30 [INFO] [TRAIN] epoch=182, iter=67650/80000, loss=0.1366, lr=0.001861, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:51:19 2020-12-17 04:11:35 [INFO] [TRAIN] epoch=182, iter=67660/80000, loss=0.1165, lr=0.001860, batch_cost=0.5230, reader_cost=0.0002 | ETA 01:47:33 2020-12-17 04:11:40 [INFO] [TRAIN] epoch=182, iter=67670/80000, loss=0.1364, lr=0.001858, batch_cost=0.5307, reader_cost=0.0001 | ETA 01:49:03 2020-12-17 04:11:46 [INFO] [TRAIN] epoch=182, iter=67680/80000, loss=0.1805, lr=0.001857, batch_cost=0.5464, reader_cost=0.0001 | ETA 01:52:11 2020-12-17 04:11:51 [INFO] [TRAIN] epoch=182, iter=67690/80000, loss=0.1397, lr=0.001856, batch_cost=0.5519, reader_cost=0.0001 | ETA 01:53:13 2020-12-17 04:11:57 [INFO] [TRAIN] epoch=182, iter=67700/80000, loss=0.2087, lr=0.001854, batch_cost=0.5516, reader_cost=0.0001 | ETA 01:53:04 2020-12-17 04:12:03 [INFO] [TRAIN] epoch=183, iter=67710/80000, loss=0.1457, lr=0.001853, batch_cost=0.5957, reader_cost=0.0620 | ETA 02:02:01 2020-12-17 04:12:08 [INFO] [TRAIN] epoch=183, iter=67720/80000, loss=0.1210, lr=0.001852, batch_cost=0.5536, reader_cost=0.0003 | ETA 01:53:18 2020-12-17 04:12:14 [INFO] [TRAIN] epoch=183, iter=67730/80000, loss=0.1959, lr=0.001850, batch_cost=0.5790, reader_cost=0.0001 | ETA 01:58:24 2020-12-17 04:12:20 [INFO] [TRAIN] epoch=183, iter=67740/80000, loss=0.1331, lr=0.001849, batch_cost=0.5554, reader_cost=0.0002 | ETA 01:53:29 2020-12-17 04:12:25 [INFO] [TRAIN] epoch=183, iter=67750/80000, loss=0.1392, lr=0.001847, batch_cost=0.5323, reader_cost=0.0001 | ETA 01:48:40 2020-12-17 04:12:30 [INFO] [TRAIN] epoch=183, iter=67760/80000, loss=0.1219, lr=0.001846, batch_cost=0.5343, reader_cost=0.0001 | ETA 01:48:59 2020-12-17 04:12:36 [INFO] [TRAIN] epoch=183, iter=67770/80000, loss=0.1659, lr=0.001845, batch_cost=0.5547, reader_cost=0.0001 | ETA 01:53:03 2020-12-17 04:12:41 [INFO] [TRAIN] epoch=183, iter=67780/80000, loss=0.1040, lr=0.001843, batch_cost=0.5443, reader_cost=0.0001 | ETA 01:50:51 2020-12-17 04:12:47 [INFO] [TRAIN] epoch=183, iter=67790/80000, loss=0.1319, lr=0.001842, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:49:08 2020-12-17 04:12:52 [INFO] [TRAIN] epoch=183, iter=67800/80000, loss=0.1703, lr=0.001841, batch_cost=0.5517, reader_cost=0.0001 | ETA 01:52:10 2020-12-17 04:12:58 [INFO] [TRAIN] epoch=183, iter=67810/80000, loss=0.1242, lr=0.001839, batch_cost=0.5472, reader_cost=0.0001 | ETA 01:51:10 2020-12-17 04:13:03 [INFO] [TRAIN] epoch=183, iter=67820/80000, loss=0.1756, lr=0.001838, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:49:16 2020-12-17 04:13:08 [INFO] [TRAIN] epoch=183, iter=67830/80000, loss=0.2086, lr=0.001837, batch_cost=0.5339, reader_cost=0.0001 | ETA 01:48:17 2020-12-17 04:13:14 [INFO] [TRAIN] epoch=183, iter=67840/80000, loss=0.1752, lr=0.001835, batch_cost=0.5428, reader_cost=0.0016 | ETA 01:50:00 2020-12-17 04:13:19 [INFO] [TRAIN] epoch=183, iter=67850/80000, loss=0.1369, lr=0.001834, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:49:09 2020-12-17 04:13:25 [INFO] [TRAIN] epoch=183, iter=67860/80000, loss=0.1953, lr=0.001833, batch_cost=0.5574, reader_cost=0.0001 | ETA 01:52:47 2020-12-17 04:13:30 [INFO] [TRAIN] epoch=183, iter=67870/80000, loss=0.1262, lr=0.001831, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:48:49 2020-12-17 04:13:36 [INFO] [TRAIN] epoch=183, iter=67880/80000, loss=0.1447, lr=0.001830, batch_cost=0.5714, reader_cost=0.0001 | ETA 01:55:25 2020-12-17 04:13:41 [INFO] [TRAIN] epoch=183, iter=67890/80000, loss=0.1702, lr=0.001828, batch_cost=0.5376, reader_cost=0.0002 | ETA 01:48:30 2020-12-17 04:13:47 [INFO] [TRAIN] epoch=183, iter=67900/80000, loss=0.1555, lr=0.001827, batch_cost=0.5532, reader_cost=0.0001 | ETA 01:51:33 2020-12-17 04:13:52 [INFO] [TRAIN] epoch=183, iter=67910/80000, loss=0.1794, lr=0.001826, batch_cost=0.5480, reader_cost=0.0001 | ETA 01:50:25 2020-12-17 04:13:58 [INFO] [TRAIN] epoch=183, iter=67920/80000, loss=0.1288, lr=0.001824, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:48:55 2020-12-17 04:14:03 [INFO] [TRAIN] epoch=183, iter=67930/80000, loss=0.2023, lr=0.001823, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:49:27 2020-12-17 04:14:08 [INFO] [TRAIN] epoch=183, iter=67940/80000, loss=0.1541, lr=0.001822, batch_cost=0.5327, reader_cost=0.0001 | ETA 01:47:04 2020-12-17 04:14:14 [INFO] [TRAIN] epoch=183, iter=67950/80000, loss=0.1306, lr=0.001820, batch_cost=0.5527, reader_cost=0.0010 | ETA 01:50:59 2020-12-17 04:14:20 [INFO] [TRAIN] epoch=183, iter=67960/80000, loss=0.1462, lr=0.001819, batch_cost=0.5643, reader_cost=0.0001 | ETA 01:53:14 2020-12-17 04:14:25 [INFO] [TRAIN] epoch=183, iter=67970/80000, loss=0.1779, lr=0.001818, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:48:17 2020-12-17 04:14:30 [INFO] [TRAIN] epoch=183, iter=67980/80000, loss=0.1484, lr=0.001816, batch_cost=0.5269, reader_cost=0.0001 | ETA 01:45:33 2020-12-17 04:14:36 [INFO] [TRAIN] epoch=183, iter=67990/80000, loss=0.1938, lr=0.001815, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:48:16 2020-12-17 04:14:41 [INFO] [TRAIN] epoch=183, iter=68000/80000, loss=0.1957, lr=0.001813, batch_cost=0.5557, reader_cost=0.0008 | ETA 01:51:08 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 04:14:41 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 04:15:15 [INFO] [EVAL] #Images=500 mIoU=0.7845 Acc=0.9604 Kappa=0.9486 2020-12-17 04:15:15 [INFO] [EVAL] Class IoU: [0.9823 0.8562 0.9223 0.5417 0.6092 0.6014 0.7033 0.781 0.9234 0.6563 0.9461 0.8091 0.6224 0.95 0.8455 0.8918 0.833 0.6598 0.7705] 2020-12-17 04:15:15 [INFO] [EVAL] Class Acc: [0.9922 0.9198 0.9517 0.8266 0.835 0.7782 0.8306 0.9049 0.9545 0.8549 0.9713 0.8714 0.7887 0.9737 0.9529 0.9379 0.9531 0.8364 0.8567] 2020-12-17 04:15:19 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 04:15:24 [INFO] [TRAIN] epoch=183, iter=68010/80000, loss=0.1263, lr=0.001812, batch_cost=0.5315, reader_cost=0.0001 | ETA 01:46:12 2020-12-17 04:15:29 [INFO] [TRAIN] epoch=183, iter=68020/80000, loss=0.2505, lr=0.001811, batch_cost=0.5590, reader_cost=0.0003 | ETA 01:51:36 2020-12-17 04:15:35 [INFO] [TRAIN] epoch=183, iter=68030/80000, loss=0.1581, lr=0.001809, batch_cost=0.5559, reader_cost=0.0001 | ETA 01:50:54 2020-12-17 04:15:40 [INFO] [TRAIN] epoch=183, iter=68040/80000, loss=0.1609, lr=0.001808, batch_cost=0.5368, reader_cost=0.0002 | ETA 01:46:59 2020-12-17 04:15:46 [INFO] [TRAIN] epoch=183, iter=68050/80000, loss=0.1345, lr=0.001807, batch_cost=0.5500, reader_cost=0.0001 | ETA 01:49:32 2020-12-17 04:15:51 [INFO] [TRAIN] epoch=183, iter=68060/80000, loss=0.2227, lr=0.001805, batch_cost=0.5344, reader_cost=0.0002 | ETA 01:46:21 2020-12-17 04:15:57 [INFO] [TRAIN] epoch=183, iter=68070/80000, loss=0.1470, lr=0.001804, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:47:30 2020-12-17 04:16:03 [INFO] [TRAIN] epoch=184, iter=68080/80000, loss=0.1536, lr=0.001803, batch_cost=0.6039, reader_cost=0.0629 | ETA 01:59:58 2020-12-17 04:16:08 [INFO] [TRAIN] epoch=184, iter=68090/80000, loss=0.1811, lr=0.001801, batch_cost=0.5579, reader_cost=0.0001 | ETA 01:50:44 2020-12-17 04:16:14 [INFO] [TRAIN] epoch=184, iter=68100/80000, loss=0.0921, lr=0.001800, batch_cost=0.5664, reader_cost=0.0001 | ETA 01:52:20 2020-12-17 04:16:20 [INFO] [TRAIN] epoch=184, iter=68110/80000, loss=0.2179, lr=0.001799, batch_cost=0.5853, reader_cost=0.0001 | ETA 01:55:58 2020-12-17 04:16:25 [INFO] [TRAIN] epoch=184, iter=68120/80000, loss=0.1191, lr=0.001797, batch_cost=0.5588, reader_cost=0.0001 | ETA 01:50:39 2020-12-17 04:16:31 [INFO] [TRAIN] epoch=184, iter=68130/80000, loss=0.1427, lr=0.001796, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:46:29 2020-12-17 04:16:36 [INFO] [TRAIN] epoch=184, iter=68140/80000, loss=0.1249, lr=0.001794, batch_cost=0.5334, reader_cost=0.0001 | ETA 01:45:26 2020-12-17 04:16:42 [INFO] [TRAIN] epoch=184, iter=68150/80000, loss=0.1277, lr=0.001793, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:46:29 2020-12-17 04:16:47 [INFO] [TRAIN] epoch=184, iter=68160/80000, loss=0.1442, lr=0.001792, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:46:26 2020-12-17 04:16:52 [INFO] [TRAIN] epoch=184, iter=68170/80000, loss=0.2160, lr=0.001790, batch_cost=0.5495, reader_cost=0.0001 | ETA 01:48:20 2020-12-17 04:16:58 [INFO] [TRAIN] epoch=184, iter=68180/80000, loss=0.1514, lr=0.001789, batch_cost=0.5488, reader_cost=0.0002 | ETA 01:48:06 2020-12-17 04:17:03 [INFO] [TRAIN] epoch=184, iter=68190/80000, loss=0.1444, lr=0.001788, batch_cost=0.5426, reader_cost=0.0001 | ETA 01:46:47 2020-12-17 04:17:09 [INFO] [TRAIN] epoch=184, iter=68200/80000, loss=0.1336, lr=0.001786, batch_cost=0.5509, reader_cost=0.0001 | ETA 01:48:20 2020-12-17 04:17:14 [INFO] [TRAIN] epoch=184, iter=68210/80000, loss=0.1586, lr=0.001785, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:45:28 2020-12-17 04:17:20 [INFO] [TRAIN] epoch=184, iter=68220/80000, loss=0.2026, lr=0.001784, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:46:42 2020-12-17 04:17:25 [INFO] [TRAIN] epoch=184, iter=68230/80000, loss=0.1349, lr=0.001782, batch_cost=0.5402, reader_cost=0.0002 | ETA 01:45:57 2020-12-17 04:17:30 [INFO] [TRAIN] epoch=184, iter=68240/80000, loss=0.1486, lr=0.001781, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:45:33 2020-12-17 04:17:36 [INFO] [TRAIN] epoch=184, iter=68250/80000, loss=0.1333, lr=0.001779, batch_cost=0.5483, reader_cost=0.0001 | ETA 01:47:22 2020-12-17 04:17:41 [INFO] [TRAIN] epoch=184, iter=68260/80000, loss=0.1209, lr=0.001778, batch_cost=0.5322, reader_cost=0.0001 | ETA 01:44:07 2020-12-17 04:17:47 [INFO] [TRAIN] epoch=184, iter=68270/80000, loss=0.1435, lr=0.001777, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:46:13 2020-12-17 04:17:52 [INFO] [TRAIN] epoch=184, iter=68280/80000, loss=0.1772, lr=0.001775, batch_cost=0.5465, reader_cost=0.0001 | ETA 01:46:45 2020-12-17 04:17:57 [INFO] [TRAIN] epoch=184, iter=68290/80000, loss=0.1418, lr=0.001774, batch_cost=0.5285, reader_cost=0.0001 | ETA 01:43:08 2020-12-17 04:18:03 [INFO] [TRAIN] epoch=184, iter=68300/80000, loss=0.1628, lr=0.001773, batch_cost=0.5514, reader_cost=0.0002 | ETA 01:47:31 2020-12-17 04:18:08 [INFO] [TRAIN] epoch=184, iter=68310/80000, loss=0.1749, lr=0.001771, batch_cost=0.5531, reader_cost=0.0002 | ETA 01:47:46 2020-12-17 04:18:14 [INFO] [TRAIN] epoch=184, iter=68320/80000, loss=0.1535, lr=0.001770, batch_cost=0.5564, reader_cost=0.0001 | ETA 01:48:18 2020-12-17 04:18:19 [INFO] [TRAIN] epoch=184, iter=68330/80000, loss=0.1513, lr=0.001769, batch_cost=0.5301, reader_cost=0.0003 | ETA 01:43:06 2020-12-17 04:18:25 [INFO] [TRAIN] epoch=184, iter=68340/80000, loss=0.1600, lr=0.001767, batch_cost=0.5489, reader_cost=0.0002 | ETA 01:46:40 2020-12-17 04:18:30 [INFO] [TRAIN] epoch=184, iter=68350/80000, loss=0.1478, lr=0.001766, batch_cost=0.5464, reader_cost=0.0001 | ETA 01:46:05 2020-12-17 04:18:36 [INFO] [TRAIN] epoch=184, iter=68360/80000, loss=0.1362, lr=0.001764, batch_cost=0.5272, reader_cost=0.0001 | ETA 01:42:16 2020-12-17 04:18:41 [INFO] [TRAIN] epoch=184, iter=68370/80000, loss=0.1804, lr=0.001763, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:45:21 2020-12-17 04:18:46 [INFO] [TRAIN] epoch=184, iter=68380/80000, loss=0.1871, lr=0.001762, batch_cost=0.5421, reader_cost=0.0002 | ETA 01:44:59 2020-12-17 04:18:52 [INFO] [TRAIN] epoch=184, iter=68390/80000, loss=0.1515, lr=0.001760, batch_cost=0.5564, reader_cost=0.0001 | ETA 01:47:39 2020-12-17 04:18:58 [INFO] [TRAIN] epoch=184, iter=68400/80000, loss=0.1617, lr=0.001759, batch_cost=0.5501, reader_cost=0.0001 | ETA 01:46:20 2020-12-17 04:19:03 [INFO] [TRAIN] epoch=184, iter=68410/80000, loss=0.1621, lr=0.001758, batch_cost=0.5420, reader_cost=0.0001 | ETA 01:44:41 2020-12-17 04:19:09 [INFO] [TRAIN] epoch=184, iter=68420/80000, loss=0.1694, lr=0.001756, batch_cost=0.5589, reader_cost=0.0007 | ETA 01:47:52 2020-12-17 04:19:14 [INFO] [TRAIN] epoch=184, iter=68430/80000, loss=0.1659, lr=0.001755, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:43:48 2020-12-17 04:19:19 [INFO] [TRAIN] epoch=184, iter=68440/80000, loss=0.1895, lr=0.001754, batch_cost=0.5530, reader_cost=0.0001 | ETA 01:46:33 2020-12-17 04:19:25 [INFO] [TRAIN] epoch=185, iter=68450/80000, loss=0.1427, lr=0.001752, batch_cost=0.5898, reader_cost=0.0570 | ETA 01:53:32 2020-12-17 04:19:31 [INFO] [TRAIN] epoch=185, iter=68460/80000, loss=0.1550, lr=0.001751, batch_cost=0.5691, reader_cost=0.0001 | ETA 01:49:27 2020-12-17 04:19:37 [INFO] [TRAIN] epoch=185, iter=68470/80000, loss=0.1528, lr=0.001749, batch_cost=0.5687, reader_cost=0.0002 | ETA 01:49:17 2020-12-17 04:19:42 [INFO] [TRAIN] epoch=185, iter=68480/80000, loss=0.1621, lr=0.001748, batch_cost=0.5487, reader_cost=0.0003 | ETA 01:45:20 2020-12-17 04:19:48 [INFO] [TRAIN] epoch=185, iter=68490/80000, loss=0.1563, lr=0.001747, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:43:55 2020-12-17 04:19:53 [INFO] [TRAIN] epoch=185, iter=68500/80000, loss=0.0993, lr=0.001745, batch_cost=0.5571, reader_cost=0.0001 | ETA 01:46:47 2020-12-17 04:19:59 [INFO] [TRAIN] epoch=185, iter=68510/80000, loss=0.1443, lr=0.001744, batch_cost=0.5487, reader_cost=0.0001 | ETA 01:45:04 2020-12-17 04:20:04 [INFO] [TRAIN] epoch=185, iter=68520/80000, loss=0.1328, lr=0.001743, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:43:13 2020-12-17 04:20:09 [INFO] [TRAIN] epoch=185, iter=68530/80000, loss=0.1219, lr=0.001741, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:42:37 2020-12-17 04:20:15 [INFO] [TRAIN] epoch=185, iter=68540/80000, loss=0.1429, lr=0.001740, batch_cost=0.5596, reader_cost=0.0001 | ETA 01:46:52 2020-12-17 04:20:20 [INFO] [TRAIN] epoch=185, iter=68550/80000, loss=0.1230, lr=0.001739, batch_cost=0.5339, reader_cost=0.0002 | ETA 01:41:52 2020-12-17 04:20:26 [INFO] [TRAIN] epoch=185, iter=68560/80000, loss=0.1722, lr=0.001737, batch_cost=0.5477, reader_cost=0.0003 | ETA 01:44:25 2020-12-17 04:20:31 [INFO] [TRAIN] epoch=185, iter=68570/80000, loss=0.1170, lr=0.001736, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:41:50 2020-12-17 04:20:37 [INFO] [TRAIN] epoch=185, iter=68580/80000, loss=0.1223, lr=0.001734, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:43:25 2020-12-17 04:20:42 [INFO] [TRAIN] epoch=185, iter=68590/80000, loss=0.3498, lr=0.001733, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:41:42 2020-12-17 04:20:48 [INFO] [TRAIN] epoch=185, iter=68600/80000, loss=0.2033, lr=0.001732, batch_cost=0.5522, reader_cost=0.0004 | ETA 01:44:55 2020-12-17 04:20:53 [INFO] [TRAIN] epoch=185, iter=68610/80000, loss=0.1041, lr=0.001730, batch_cost=0.5448, reader_cost=0.0001 | ETA 01:43:24 2020-12-17 04:20:58 [INFO] [TRAIN] epoch=185, iter=68620/80000, loss=0.1455, lr=0.001729, batch_cost=0.5387, reader_cost=0.0003 | ETA 01:42:10 2020-12-17 04:21:04 [INFO] [TRAIN] epoch=185, iter=68630/80000, loss=0.1382, lr=0.001728, batch_cost=0.5436, reader_cost=0.0005 | ETA 01:43:00 2020-12-17 04:21:09 [INFO] [TRAIN] epoch=185, iter=68640/80000, loss=0.1990, lr=0.001726, batch_cost=0.5422, reader_cost=0.0001 | ETA 01:42:39 2020-12-17 04:21:15 [INFO] [TRAIN] epoch=185, iter=68650/80000, loss=0.1724, lr=0.001725, batch_cost=0.5491, reader_cost=0.0002 | ETA 01:43:52 2020-12-17 04:21:20 [INFO] [TRAIN] epoch=185, iter=68660/80000, loss=0.1808, lr=0.001723, batch_cost=0.5517, reader_cost=0.0003 | ETA 01:44:15 2020-12-17 04:21:26 [INFO] [TRAIN] epoch=185, iter=68670/80000, loss=0.1937, lr=0.001722, batch_cost=0.5438, reader_cost=0.0001 | ETA 01:42:40 2020-12-17 04:21:31 [INFO] [TRAIN] epoch=185, iter=68680/80000, loss=0.1539, lr=0.001721, batch_cost=0.5308, reader_cost=0.0001 | ETA 01:40:09 2020-12-17 04:21:36 [INFO] [TRAIN] epoch=185, iter=68690/80000, loss=0.1778, lr=0.001719, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:41:04 2020-12-17 04:21:42 [INFO] [TRAIN] epoch=185, iter=68700/80000, loss=0.2418, lr=0.001718, batch_cost=0.5402, reader_cost=0.0002 | ETA 01:41:44 2020-12-17 04:21:47 [INFO] [TRAIN] epoch=185, iter=68710/80000, loss=0.1706, lr=0.001717, batch_cost=0.5333, reader_cost=0.0001 | ETA 01:40:21 2020-12-17 04:21:53 [INFO] [TRAIN] epoch=185, iter=68720/80000, loss=0.2167, lr=0.001715, batch_cost=0.5510, reader_cost=0.0001 | ETA 01:43:35 2020-12-17 04:21:58 [INFO] [TRAIN] epoch=185, iter=68730/80000, loss=0.1833, lr=0.001714, batch_cost=0.5342, reader_cost=0.0003 | ETA 01:40:20 2020-12-17 04:22:03 [INFO] [TRAIN] epoch=185, iter=68740/80000, loss=0.1502, lr=0.001713, batch_cost=0.5558, reader_cost=0.0001 | ETA 01:44:17 2020-12-17 04:22:09 [INFO] [TRAIN] epoch=185, iter=68750/80000, loss=0.1585, lr=0.001711, batch_cost=0.5363, reader_cost=0.0002 | ETA 01:40:33 2020-12-17 04:22:14 [INFO] [TRAIN] epoch=185, iter=68760/80000, loss=0.1280, lr=0.001710, batch_cost=0.5419, reader_cost=0.0001 | ETA 01:41:30 2020-12-17 04:22:20 [INFO] [TRAIN] epoch=185, iter=68770/80000, loss=0.1466, lr=0.001708, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:40:46 2020-12-17 04:22:25 [INFO] [TRAIN] epoch=185, iter=68780/80000, loss=0.1425, lr=0.001707, batch_cost=0.5551, reader_cost=0.0001 | ETA 01:43:48 2020-12-17 04:22:31 [INFO] [TRAIN] epoch=185, iter=68790/80000, loss=0.1291, lr=0.001706, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:40:27 2020-12-17 04:22:36 [INFO] [TRAIN] epoch=185, iter=68800/80000, loss=0.1877, lr=0.001704, batch_cost=0.5380, reader_cost=0.0001 | ETA 01:40:25 2020-12-17 04:22:41 [INFO] [TRAIN] epoch=185, iter=68810/80000, loss=0.1091, lr=0.001703, batch_cost=0.5499, reader_cost=0.0001 | ETA 01:42:32 2020-12-17 04:22:47 [INFO] [TRAIN] epoch=185, iter=68820/80000, loss=0.1660, lr=0.001702, batch_cost=0.5220, reader_cost=0.0001 | ETA 01:37:15 2020-12-17 04:22:53 [INFO] [TRAIN] epoch=186, iter=68830/80000, loss=0.1317, lr=0.001700, batch_cost=0.6278, reader_cost=0.0630 | ETA 01:56:52 2020-12-17 04:22:58 [INFO] [TRAIN] epoch=186, iter=68840/80000, loss=0.1429, lr=0.001699, batch_cost=0.5509, reader_cost=0.0001 | ETA 01:42:27 2020-12-17 04:23:04 [INFO] [TRAIN] epoch=186, iter=68850/80000, loss=0.1384, lr=0.001697, batch_cost=0.5585, reader_cost=0.0001 | ETA 01:43:47 2020-12-17 04:23:09 [INFO] [TRAIN] epoch=186, iter=68860/80000, loss=0.1772, lr=0.001696, batch_cost=0.5300, reader_cost=0.0004 | ETA 01:38:24 2020-12-17 04:23:15 [INFO] [TRAIN] epoch=186, iter=68870/80000, loss=0.1525, lr=0.001695, batch_cost=0.5406, reader_cost=0.0001 | ETA 01:40:16 2020-12-17 04:23:20 [INFO] [TRAIN] epoch=186, iter=68880/80000, loss=0.1530, lr=0.001693, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:40:14 2020-12-17 04:23:26 [INFO] [TRAIN] epoch=186, iter=68890/80000, loss=0.1221, lr=0.001692, batch_cost=0.5549, reader_cost=0.0001 | ETA 01:42:45 2020-12-17 04:23:31 [INFO] [TRAIN] epoch=186, iter=68900/80000, loss=0.2022, lr=0.001691, batch_cost=0.5632, reader_cost=0.0001 | ETA 01:44:12 2020-12-17 04:23:37 [INFO] [TRAIN] epoch=186, iter=68910/80000, loss=0.1413, lr=0.001689, batch_cost=0.5415, reader_cost=0.0001 | ETA 01:40:05 2020-12-17 04:23:42 [INFO] [TRAIN] epoch=186, iter=68920/80000, loss=0.1714, lr=0.001688, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:38:50 2020-12-17 04:23:48 [INFO] [TRAIN] epoch=186, iter=68930/80000, loss=0.1778, lr=0.001687, batch_cost=0.5596, reader_cost=0.0001 | ETA 01:43:14 2020-12-17 04:23:53 [INFO] [TRAIN] epoch=186, iter=68940/80000, loss=0.1688, lr=0.001685, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:39:35 2020-12-17 04:23:59 [INFO] [TRAIN] epoch=186, iter=68950/80000, loss=0.1555, lr=0.001684, batch_cost=0.5431, reader_cost=0.0003 | ETA 01:40:00 2020-12-17 04:24:04 [INFO] [TRAIN] epoch=186, iter=68960/80000, loss=0.1784, lr=0.001682, batch_cost=0.5522, reader_cost=0.0001 | ETA 01:41:36 2020-12-17 04:24:10 [INFO] [TRAIN] epoch=186, iter=68970/80000, loss=0.1936, lr=0.001681, batch_cost=0.5462, reader_cost=0.0001 | ETA 01:40:24 2020-12-17 04:24:15 [INFO] [TRAIN] epoch=186, iter=68980/80000, loss=0.1502, lr=0.001680, batch_cost=0.5597, reader_cost=0.0001 | ETA 01:42:48 2020-12-17 04:24:21 [INFO] [TRAIN] epoch=186, iter=68990/80000, loss=0.1381, lr=0.001678, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:39:34 2020-12-17 04:24:26 [INFO] [TRAIN] epoch=186, iter=69000/80000, loss=0.1228, lr=0.001677, batch_cost=0.5341, reader_cost=0.0001 | ETA 01:37:55 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 04:24:26 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-17 04:25:00 [INFO] [EVAL] #Images=500 mIoU=0.7847 Acc=0.9609 Kappa=0.9493 2020-12-17 04:25:00 [INFO] [EVAL] Class IoU: [0.9825 0.8582 0.9241 0.5684 0.6161 0.5974 0.7029 0.7821 0.9238 0.658 0.9468 0.8126 0.6179 0.9503 0.829 0.8926 0.8186 0.6554 0.7721] 2020-12-17 04:25:00 [INFO] [EVAL] Class Acc: [0.9924 0.9201 0.9529 0.8337 0.8104 0.7914 0.8201 0.9033 0.955 0.8564 0.9681 0.8874 0.7863 0.9715 0.9531 0.9428 0.9271 0.8356 0.8631] 2020-12-17 04:25:04 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 04:25:09 [INFO] [TRAIN] epoch=186, iter=69010/80000, loss=0.1812, lr=0.001676, batch_cost=0.5283, reader_cost=0.0001 | ETA 01:36:45 2020-12-17 04:25:15 [INFO] [TRAIN] epoch=186, iter=69020/80000, loss=0.2015, lr=0.001674, batch_cost=0.5384, reader_cost=0.0002 | ETA 01:38:32 2020-12-17 04:25:20 [INFO] [TRAIN] epoch=186, iter=69030/80000, loss=0.1573, lr=0.001673, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:38:27 2020-12-17 04:25:26 [INFO] [TRAIN] epoch=186, iter=69040/80000, loss=0.1499, lr=0.001671, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:37:44 2020-12-17 04:25:31 [INFO] [TRAIN] epoch=186, iter=69050/80000, loss=0.1925, lr=0.001670, batch_cost=0.5439, reader_cost=0.0001 | ETA 01:39:16 2020-12-17 04:25:36 [INFO] [TRAIN] epoch=186, iter=69060/80000, loss=0.1132, lr=0.001669, batch_cost=0.5530, reader_cost=0.0001 | ETA 01:40:49 2020-12-17 04:25:42 [INFO] [TRAIN] epoch=186, iter=69070/80000, loss=0.1388, lr=0.001667, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:38:33 2020-12-17 04:25:47 [INFO] [TRAIN] epoch=186, iter=69080/80000, loss=0.1787, lr=0.001666, batch_cost=0.5540, reader_cost=0.0002 | ETA 01:40:49 2020-12-17 04:25:53 [INFO] [TRAIN] epoch=186, iter=69090/80000, loss=0.1458, lr=0.001665, batch_cost=0.5432, reader_cost=0.0003 | ETA 01:38:46 2020-12-17 04:25:58 [INFO] [TRAIN] epoch=186, iter=69100/80000, loss=0.1789, lr=0.001663, batch_cost=0.5460, reader_cost=0.0001 | ETA 01:39:11 2020-12-17 04:26:04 [INFO] [TRAIN] epoch=186, iter=69110/80000, loss=0.1522, lr=0.001662, batch_cost=0.5400, reader_cost=0.0002 | ETA 01:38:00 2020-12-17 04:26:09 [INFO] [TRAIN] epoch=186, iter=69120/80000, loss=0.2241, lr=0.001660, batch_cost=0.5426, reader_cost=0.0001 | ETA 01:38:23 2020-12-17 04:26:15 [INFO] [TRAIN] epoch=186, iter=69130/80000, loss=0.1475, lr=0.001659, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:38:28 2020-12-17 04:26:20 [INFO] [TRAIN] epoch=186, iter=69140/80000, loss=0.1524, lr=0.001658, batch_cost=0.5285, reader_cost=0.0002 | ETA 01:35:39 2020-12-17 04:26:25 [INFO] [TRAIN] epoch=186, iter=69150/80000, loss=0.1589, lr=0.001656, batch_cost=0.5439, reader_cost=0.0002 | ETA 01:38:21 2020-12-17 04:26:31 [INFO] [TRAIN] epoch=186, iter=69160/80000, loss=0.1767, lr=0.001655, batch_cost=0.5322, reader_cost=0.0001 | ETA 01:36:09 2020-12-17 04:26:36 [INFO] [TRAIN] epoch=186, iter=69170/80000, loss=0.1806, lr=0.001654, batch_cost=0.5469, reader_cost=0.0001 | ETA 01:38:43 2020-12-17 04:26:42 [INFO] [TRAIN] epoch=186, iter=69180/80000, loss=0.1233, lr=0.001652, batch_cost=0.5509, reader_cost=0.0002 | ETA 01:39:21 2020-12-17 04:26:47 [INFO] [TRAIN] epoch=186, iter=69190/80000, loss=0.1399, lr=0.001651, batch_cost=0.5194, reader_cost=0.0004 | ETA 01:33:34 2020-12-17 04:26:53 [INFO] [TRAIN] epoch=187, iter=69200/80000, loss=0.1566, lr=0.001649, batch_cost=0.6156, reader_cost=0.0749 | ETA 01:50:49 2020-12-17 04:26:59 [INFO] [TRAIN] epoch=187, iter=69210/80000, loss=0.1622, lr=0.001648, batch_cost=0.5622, reader_cost=0.0001 | ETA 01:41:06 2020-12-17 04:27:04 [INFO] [TRAIN] epoch=187, iter=69220/80000, loss=0.2096, lr=0.001647, batch_cost=0.5594, reader_cost=0.0001 | ETA 01:40:30 2020-12-17 04:27:10 [INFO] [TRAIN] epoch=187, iter=69230/80000, loss=0.2249, lr=0.001645, batch_cost=0.5518, reader_cost=0.0001 | ETA 01:39:02 2020-12-17 04:27:15 [INFO] [TRAIN] epoch=187, iter=69240/80000, loss=0.1423, lr=0.001644, batch_cost=0.5725, reader_cost=0.0001 | ETA 01:42:40 2020-12-17 04:27:21 [INFO] [TRAIN] epoch=187, iter=69250/80000, loss=0.1626, lr=0.001643, batch_cost=0.5515, reader_cost=0.0001 | ETA 01:38:48 2020-12-17 04:27:26 [INFO] [TRAIN] epoch=187, iter=69260/80000, loss=0.1809, lr=0.001641, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:36:51 2020-12-17 04:27:32 [INFO] [TRAIN] epoch=187, iter=69270/80000, loss=0.1559, lr=0.001640, batch_cost=0.5441, reader_cost=0.0004 | ETA 01:37:17 2020-12-17 04:27:37 [INFO] [TRAIN] epoch=187, iter=69280/80000, loss=0.1637, lr=0.001638, batch_cost=0.5570, reader_cost=0.0001 | ETA 01:39:31 2020-12-17 04:27:43 [INFO] [TRAIN] epoch=187, iter=69290/80000, loss=0.1469, lr=0.001637, batch_cost=0.5577, reader_cost=0.0001 | ETA 01:39:32 2020-12-17 04:27:48 [INFO] [TRAIN] epoch=187, iter=69300/80000, loss=0.1701, lr=0.001636, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:36:20 2020-12-17 04:27:54 [INFO] [TRAIN] epoch=187, iter=69310/80000, loss=0.1700, lr=0.001634, batch_cost=0.5495, reader_cost=0.0002 | ETA 01:37:53 2020-12-17 04:27:59 [INFO] [TRAIN] epoch=187, iter=69320/80000, loss=0.1782, lr=0.001633, batch_cost=0.5413, reader_cost=0.0002 | ETA 01:36:21 2020-12-17 04:28:05 [INFO] [TRAIN] epoch=187, iter=69330/80000, loss=0.2124, lr=0.001632, batch_cost=0.5495, reader_cost=0.0002 | ETA 01:37:43 2020-12-17 04:28:10 [INFO] [TRAIN] epoch=187, iter=69340/80000, loss=0.1511, lr=0.001630, batch_cost=0.5455, reader_cost=0.0001 | ETA 01:36:54 2020-12-17 04:28:16 [INFO] [TRAIN] epoch=187, iter=69350/80000, loss=0.2288, lr=0.001629, batch_cost=0.5565, reader_cost=0.0001 | ETA 01:38:46 2020-12-17 04:28:21 [INFO] [TRAIN] epoch=187, iter=69360/80000, loss=0.1411, lr=0.001627, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:35:20 2020-12-17 04:28:27 [INFO] [TRAIN] epoch=187, iter=69370/80000, loss=0.2035, lr=0.001626, batch_cost=0.5526, reader_cost=0.0001 | ETA 01:37:53 2020-12-17 04:28:32 [INFO] [TRAIN] epoch=187, iter=69380/80000, loss=0.1552, lr=0.001625, batch_cost=0.5380, reader_cost=0.0001 | ETA 01:35:13 2020-12-17 04:28:37 [INFO] [TRAIN] epoch=187, iter=69390/80000, loss=0.1427, lr=0.001623, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:35:44 2020-12-17 04:28:43 [INFO] [TRAIN] epoch=187, iter=69400/80000, loss=0.1832, lr=0.001622, batch_cost=0.5502, reader_cost=0.0001 | ETA 01:37:11 2020-12-17 04:28:48 [INFO] [TRAIN] epoch=187, iter=69410/80000, loss=0.1521, lr=0.001621, batch_cost=0.5505, reader_cost=0.0001 | ETA 01:37:10 2020-12-17 04:28:54 [INFO] [TRAIN] epoch=187, iter=69420/80000, loss=0.1722, lr=0.001619, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:35:51 2020-12-17 04:28:59 [INFO] [TRAIN] epoch=187, iter=69430/80000, loss=0.1809, lr=0.001618, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:35:50 2020-12-17 04:29:05 [INFO] [TRAIN] epoch=187, iter=69440/80000, loss=0.1751, lr=0.001616, batch_cost=0.5466, reader_cost=0.0001 | ETA 01:36:11 2020-12-17 04:29:10 [INFO] [TRAIN] epoch=187, iter=69450/80000, loss=0.1421, lr=0.001615, batch_cost=0.5351, reader_cost=0.0002 | ETA 01:34:04 2020-12-17 04:29:16 [INFO] [TRAIN] epoch=187, iter=69460/80000, loss=0.1584, lr=0.001614, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:35:26 2020-12-17 04:29:21 [INFO] [TRAIN] epoch=187, iter=69470/80000, loss=0.1432, lr=0.001612, batch_cost=0.5466, reader_cost=0.0001 | ETA 01:35:55 2020-12-17 04:29:26 [INFO] [TRAIN] epoch=187, iter=69480/80000, loss=0.1543, lr=0.001611, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:34:12 2020-12-17 04:29:32 [INFO] [TRAIN] epoch=187, iter=69490/80000, loss=0.1324, lr=0.001610, batch_cost=0.5497, reader_cost=0.0001 | ETA 01:36:17 2020-12-17 04:29:37 [INFO] [TRAIN] epoch=187, iter=69500/80000, loss=0.1576, lr=0.001608, batch_cost=0.5322, reader_cost=0.0001 | ETA 01:33:08 2020-12-17 04:29:43 [INFO] [TRAIN] epoch=187, iter=69510/80000, loss=0.2057, lr=0.001607, batch_cost=0.5393, reader_cost=0.0002 | ETA 01:34:17 2020-12-17 04:29:48 [INFO] [TRAIN] epoch=187, iter=69520/80000, loss=0.1252, lr=0.001605, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:33:40 2020-12-17 04:29:54 [INFO] [TRAIN] epoch=187, iter=69530/80000, loss=0.2450, lr=0.001604, batch_cost=0.5520, reader_cost=0.0001 | ETA 01:36:19 2020-12-17 04:29:59 [INFO] [TRAIN] epoch=187, iter=69540/80000, loss=0.1767, lr=0.001603, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:34:02 2020-12-17 04:30:04 [INFO] [TRAIN] epoch=187, iter=69550/80000, loss=0.1212, lr=0.001601, batch_cost=0.5516, reader_cost=0.0001 | ETA 01:36:04 2020-12-17 04:30:10 [INFO] [TRAIN] epoch=187, iter=69560/80000, loss=0.1634, lr=0.001600, batch_cost=0.5334, reader_cost=0.0003 | ETA 01:32:48 2020-12-17 04:30:16 [INFO] [TRAIN] epoch=188, iter=69570/80000, loss=0.1636, lr=0.001598, batch_cost=0.6003, reader_cost=0.0751 | ETA 01:44:21 2020-12-17 04:30:21 [INFO] [TRAIN] epoch=188, iter=69580/80000, loss=0.1781, lr=0.001597, batch_cost=0.5555, reader_cost=0.0001 | ETA 01:36:28 2020-12-17 04:30:27 [INFO] [TRAIN] epoch=188, iter=69590/80000, loss=0.1771, lr=0.001596, batch_cost=0.5569, reader_cost=0.0002 | ETA 01:36:37 2020-12-17 04:30:32 [INFO] [TRAIN] epoch=188, iter=69600/80000, loss=0.1306, lr=0.001594, batch_cost=0.5510, reader_cost=0.0002 | ETA 01:35:30 2020-12-17 04:30:38 [INFO] [TRAIN] epoch=188, iter=69610/80000, loss=0.1395, lr=0.001593, batch_cost=0.5572, reader_cost=0.0001 | ETA 01:36:28 2020-12-17 04:30:43 [INFO] [TRAIN] epoch=188, iter=69620/80000, loss=0.1525, lr=0.001592, batch_cost=0.5303, reader_cost=0.0001 | ETA 01:31:44 2020-12-17 04:30:49 [INFO] [TRAIN] epoch=188, iter=69630/80000, loss=0.1830, lr=0.001590, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:33:47 2020-12-17 04:30:54 [INFO] [TRAIN] epoch=188, iter=69640/80000, loss=0.1345, lr=0.001589, batch_cost=0.5447, reader_cost=0.0016 | ETA 01:34:02 2020-12-17 04:31:00 [INFO] [TRAIN] epoch=188, iter=69650/80000, loss=0.1441, lr=0.001587, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:32:35 2020-12-17 04:31:05 [INFO] [TRAIN] epoch=188, iter=69660/80000, loss=0.1164, lr=0.001586, batch_cost=0.5364, reader_cost=0.0016 | ETA 01:32:26 2020-12-17 04:31:10 [INFO] [TRAIN] epoch=188, iter=69670/80000, loss=0.1416, lr=0.001585, batch_cost=0.5565, reader_cost=0.0001 | ETA 01:35:48 2020-12-17 04:31:16 [INFO] [TRAIN] epoch=188, iter=69680/80000, loss=0.1887, lr=0.001583, batch_cost=0.5348, reader_cost=0.0001 | ETA 01:31:58 2020-12-17 04:31:21 [INFO] [TRAIN] epoch=188, iter=69690/80000, loss=0.1535, lr=0.001582, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:31:52 2020-12-17 04:31:27 [INFO] [TRAIN] epoch=188, iter=69700/80000, loss=0.1327, lr=0.001581, batch_cost=0.5535, reader_cost=0.0001 | ETA 01:35:00 2020-12-17 04:31:32 [INFO] [TRAIN] epoch=188, iter=69710/80000, loss=0.1583, lr=0.001579, batch_cost=0.5429, reader_cost=0.0002 | ETA 01:33:05 2020-12-17 04:31:38 [INFO] [TRAIN] epoch=188, iter=69720/80000, loss=0.1577, lr=0.001578, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:32:26 2020-12-17 04:31:43 [INFO] [TRAIN] epoch=188, iter=69730/80000, loss=0.1237, lr=0.001576, batch_cost=0.5484, reader_cost=0.0002 | ETA 01:33:51 2020-12-17 04:31:49 [INFO] [TRAIN] epoch=188, iter=69740/80000, loss=0.2059, lr=0.001575, batch_cost=0.5588, reader_cost=0.0002 | ETA 01:35:33 2020-12-17 04:31:54 [INFO] [TRAIN] epoch=188, iter=69750/80000, loss=0.1464, lr=0.001574, batch_cost=0.5542, reader_cost=0.0001 | ETA 01:34:40 2020-12-17 04:32:00 [INFO] [TRAIN] epoch=188, iter=69760/80000, loss=0.1886, lr=0.001572, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:31:46 2020-12-17 04:32:05 [INFO] [TRAIN] epoch=188, iter=69770/80000, loss=0.1806, lr=0.001571, batch_cost=0.5598, reader_cost=0.0001 | ETA 01:35:27 2020-12-17 04:32:11 [INFO] [TRAIN] epoch=188, iter=69780/80000, loss=0.1186, lr=0.001570, batch_cost=0.5509, reader_cost=0.0001 | ETA 01:33:50 2020-12-17 04:32:16 [INFO] [TRAIN] epoch=188, iter=69790/80000, loss=0.1389, lr=0.001568, batch_cost=0.5517, reader_cost=0.0001 | ETA 01:33:53 2020-12-17 04:32:22 [INFO] [TRAIN] epoch=188, iter=69800/80000, loss=0.1763, lr=0.001567, batch_cost=0.5364, reader_cost=0.0001 | ETA 01:31:10 2020-12-17 04:32:27 [INFO] [TRAIN] epoch=188, iter=69810/80000, loss=0.1647, lr=0.001565, batch_cost=0.5410, reader_cost=0.0002 | ETA 01:31:52 2020-12-17 04:32:32 [INFO] [TRAIN] epoch=188, iter=69820/80000, loss=0.1670, lr=0.001564, batch_cost=0.5343, reader_cost=0.0002 | ETA 01:30:39 2020-12-17 04:32:38 [INFO] [TRAIN] epoch=188, iter=69830/80000, loss=0.1945, lr=0.001563, batch_cost=0.5299, reader_cost=0.0001 | ETA 01:29:48 2020-12-17 04:32:43 [INFO] [TRAIN] epoch=188, iter=69840/80000, loss=0.1573, lr=0.001561, batch_cost=0.5646, reader_cost=0.0001 | ETA 01:35:36 2020-12-17 04:32:49 [INFO] [TRAIN] epoch=188, iter=69850/80000, loss=0.1409, lr=0.001560, batch_cost=0.5448, reader_cost=0.0001 | ETA 01:32:09 2020-12-17 04:32:54 [INFO] [TRAIN] epoch=188, iter=69860/80000, loss=0.1762, lr=0.001558, batch_cost=0.5497, reader_cost=0.0001 | ETA 01:32:53 2020-12-17 04:32:59 [INFO] [TRAIN] epoch=188, iter=69870/80000, loss=0.1568, lr=0.001557, batch_cost=0.5298, reader_cost=0.0001 | ETA 01:29:26 2020-12-17 04:33:05 [INFO] [TRAIN] epoch=188, iter=69880/80000, loss=0.1358, lr=0.001556, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:31:20 2020-12-17 04:33:10 [INFO] [TRAIN] epoch=188, iter=69890/80000, loss=0.1902, lr=0.001554, batch_cost=0.5340, reader_cost=0.0003 | ETA 01:29:58 2020-12-17 04:33:16 [INFO] [TRAIN] epoch=188, iter=69900/80000, loss=0.2204, lr=0.001553, batch_cost=0.5524, reader_cost=0.0002 | ETA 01:32:59 2020-12-17 04:33:21 [INFO] [TRAIN] epoch=188, iter=69910/80000, loss=0.1563, lr=0.001552, batch_cost=0.5535, reader_cost=0.0002 | ETA 01:33:04 2020-12-17 04:33:27 [INFO] [TRAIN] epoch=188, iter=69920/80000, loss=0.1472, lr=0.001550, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:30:00 2020-12-17 04:33:32 [INFO] [TRAIN] epoch=188, iter=69930/80000, loss=0.1116, lr=0.001549, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:30:02 2020-12-17 04:33:38 [INFO] [TRAIN] epoch=189, iter=69940/80000, loss=0.1535, lr=0.001547, batch_cost=0.5818, reader_cost=0.0859 | ETA 01:37:33 2020-12-17 04:33:43 [INFO] [TRAIN] epoch=189, iter=69950/80000, loss=0.1473, lr=0.001546, batch_cost=0.5595, reader_cost=0.0001 | ETA 01:33:42 2020-12-17 04:33:49 [INFO] [TRAIN] epoch=189, iter=69960/80000, loss=0.1736, lr=0.001545, batch_cost=0.5710, reader_cost=0.0001 | ETA 01:35:32 2020-12-17 04:33:55 [INFO] [TRAIN] epoch=189, iter=69970/80000, loss=0.1867, lr=0.001543, batch_cost=0.5538, reader_cost=0.0001 | ETA 01:32:34 2020-12-17 04:34:00 [INFO] [TRAIN] epoch=189, iter=69980/80000, loss=0.1414, lr=0.001542, batch_cost=0.5317, reader_cost=0.0001 | ETA 01:28:47 2020-12-17 04:34:05 [INFO] [TRAIN] epoch=189, iter=69990/80000, loss=0.1504, lr=0.001540, batch_cost=0.5263, reader_cost=0.0001 | ETA 01:27:48 2020-12-17 04:34:11 [INFO] [TRAIN] epoch=189, iter=70000/80000, loss=0.1640, lr=0.001539, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:30:33 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 2020-12-17 04:34:11 [INFO] Start evaluating (total_samples=500, total_iters=125)... scales 1.0 2020-12-17 04:34:45 [INFO] [EVAL] #Images=500 mIoU=0.7817 Acc=0.9603 Kappa=0.9484 2020-12-17 04:34:45 [INFO] [EVAL] Class IoU: [0.9825 0.8571 0.9211 0.5372 0.6114 0.603 0.7047 0.78 0.9237 0.6519 0.9427 0.8131 0.6207 0.9501 0.839 0.8712 0.8067 0.6637 0.7719] 2020-12-17 04:34:45 [INFO] [EVAL] Class Acc: [0.9919 0.9235 0.9487 0.8599 0.8235 0.7785 0.8279 0.9064 0.9554 0.8533 0.9744 0.8775 0.796 0.9743 0.9467 0.9149 0.954 0.8097 0.865 ] 2020-12-17 04:34:49 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 04:34:54 [INFO] [TRAIN] epoch=189, iter=70010/80000, loss=0.1809, lr=0.001538, batch_cost=0.5521, reader_cost=0.0002 | ETA 01:31:55 2020-12-17 04:35:00 [INFO] [TRAIN] epoch=189, iter=70020/80000, loss=0.1457, lr=0.001536, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:29:58 2020-12-17 04:35:05 [INFO] [TRAIN] epoch=189, iter=70030/80000, loss=0.1878, lr=0.001535, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:29:52 2020-12-17 04:35:10 [INFO] [TRAIN] epoch=189, iter=70040/80000, loss=0.1589, lr=0.001534, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:29:34 2020-12-17 04:35:16 [INFO] [TRAIN] epoch=189, iter=70050/80000, loss=0.1301, lr=0.001532, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:29:50 2020-12-17 04:35:21 [INFO] [TRAIN] epoch=189, iter=70060/80000, loss=0.1391, lr=0.001531, batch_cost=0.5444, reader_cost=0.0001 | ETA 01:30:10 2020-12-17 04:35:27 [INFO] [TRAIN] epoch=189, iter=70070/80000, loss=0.1444, lr=0.001529, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:29:36 2020-12-17 04:35:32 [INFO] [TRAIN] epoch=189, iter=70080/80000, loss=0.1974, lr=0.001528, batch_cost=0.5299, reader_cost=0.0001 | ETA 01:27:36 2020-12-17 04:35:37 [INFO] [TRAIN] epoch=189, iter=70090/80000, loss=0.1136, lr=0.001527, batch_cost=0.5470, reader_cost=0.0001 | ETA 01:30:20 2020-12-17 04:35:43 [INFO] [TRAIN] epoch=189, iter=70100/80000, loss=0.1293, lr=0.001525, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:28:16 2020-12-17 04:35:48 [INFO] [TRAIN] epoch=189, iter=70110/80000, loss=0.1865, lr=0.001524, batch_cost=0.5573, reader_cost=0.0001 | ETA 01:31:51 2020-12-17 04:35:54 [INFO] [TRAIN] epoch=189, iter=70120/80000, loss=0.1427, lr=0.001522, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:28:42 2020-12-17 04:35:59 [INFO] [TRAIN] epoch=189, iter=70130/80000, loss=0.2154, lr=0.001521, batch_cost=0.5425, reader_cost=0.0002 | ETA 01:29:14 2020-12-17 04:36:05 [INFO] [TRAIN] epoch=189, iter=70140/80000, loss=0.1560, lr=0.001520, batch_cost=0.5500, reader_cost=0.0001 | ETA 01:30:22 2020-12-17 04:36:10 [INFO] [TRAIN] epoch=189, iter=70150/80000, loss=0.1805, lr=0.001518, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:28:24 2020-12-17 04:36:15 [INFO] [TRAIN] epoch=189, iter=70160/80000, loss=0.1717, lr=0.001517, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:28:49 2020-12-17 04:36:21 [INFO] [TRAIN] epoch=189, iter=70170/80000, loss=0.1402, lr=0.001516, batch_cost=0.5455, reader_cost=0.0001 | ETA 01:29:21 2020-12-17 04:36:26 [INFO] [TRAIN] epoch=189, iter=70180/80000, loss=0.1938, lr=0.001514, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:27:28 2020-12-17 04:36:32 [INFO] [TRAIN] epoch=189, iter=70190/80000, loss=0.1621, lr=0.001513, batch_cost=0.5516, reader_cost=0.0001 | ETA 01:30:11 2020-12-17 04:36:37 [INFO] [TRAIN] epoch=189, iter=70200/80000, loss=0.1561, lr=0.001511, batch_cost=0.5595, reader_cost=0.0001 | ETA 01:31:22 2020-12-17 04:36:43 [INFO] [TRAIN] epoch=189, iter=70210/80000, loss=0.1587, lr=0.001510, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:28:15 2020-12-17 04:36:48 [INFO] [TRAIN] epoch=189, iter=70220/80000, loss=0.1606, lr=0.001509, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:27:50 2020-12-17 04:36:54 [INFO] [TRAIN] epoch=189, iter=70230/80000, loss=0.1784, lr=0.001507, batch_cost=0.5511, reader_cost=0.0006 | ETA 01:29:44 2020-12-17 04:36:59 [INFO] [TRAIN] epoch=189, iter=70240/80000, loss=0.1801, lr=0.001506, batch_cost=0.5490, reader_cost=0.0001 | ETA 01:29:17 2020-12-17 04:37:05 [INFO] [TRAIN] epoch=189, iter=70250/80000, loss=0.1803, lr=0.001504, batch_cost=0.5524, reader_cost=0.0001 | ETA 01:29:46 2020-12-17 04:37:10 [INFO] [TRAIN] epoch=189, iter=70260/80000, loss=0.1254, lr=0.001503, batch_cost=0.5338, reader_cost=0.0002 | ETA 01:26:39 2020-12-17 04:37:16 [INFO] [TRAIN] epoch=189, iter=70270/80000, loss=0.1818, lr=0.001502, batch_cost=0.5584, reader_cost=0.0001 | ETA 01:30:33 2020-12-17 04:37:21 [INFO] [TRAIN] epoch=189, iter=70280/80000, loss=0.1905, lr=0.001500, batch_cost=0.5422, reader_cost=0.0001 | ETA 01:27:50 2020-12-17 04:37:27 [INFO] [TRAIN] epoch=189, iter=70290/80000, loss=0.1544, lr=0.001499, batch_cost=0.5520, reader_cost=0.0001 | ETA 01:29:20 2020-12-17 04:37:32 [INFO] [TRAIN] epoch=189, iter=70300/80000, loss=0.1308, lr=0.001497, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:26:42 2020-12-17 04:37:38 [INFO] [TRAIN] epoch=190, iter=70310/80000, loss=0.1930, lr=0.001496, batch_cost=0.5744, reader_cost=0.0525 | ETA 01:32:45 2020-12-17 04:37:43 [INFO] [TRAIN] epoch=190, iter=70320/80000, loss=0.1590, lr=0.001495, batch_cost=0.5618, reader_cost=0.0002 | ETA 01:30:38 2020-12-17 04:37:49 [INFO] [TRAIN] epoch=190, iter=70330/80000, loss=0.1538, lr=0.001493, batch_cost=0.5597, reader_cost=0.0001 | ETA 01:30:12 2020-12-17 04:37:54 [INFO] [TRAIN] epoch=190, iter=70340/80000, loss=0.1610, lr=0.001492, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:26:34 2020-12-17 04:38:00 [INFO] [TRAIN] epoch=190, iter=70350/80000, loss=0.1724, lr=0.001491, batch_cost=0.5519, reader_cost=0.0006 | ETA 01:28:45 2020-12-17 04:38:05 [INFO] [TRAIN] epoch=190, iter=70360/80000, loss=0.1628, lr=0.001489, batch_cost=0.5457, reader_cost=0.0001 | ETA 01:27:40 2020-12-17 04:38:11 [INFO] [TRAIN] epoch=190, iter=70370/80000, loss=0.1458, lr=0.001488, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:26:24 2020-12-17 04:38:16 [INFO] [TRAIN] epoch=190, iter=70380/80000, loss=0.1442, lr=0.001486, batch_cost=0.5483, reader_cost=0.0001 | ETA 01:27:54 2020-12-17 04:38:22 [INFO] [TRAIN] epoch=190, iter=70390/80000, loss=0.1372, lr=0.001485, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:27:03 2020-12-17 04:38:27 [INFO] [TRAIN] epoch=190, iter=70400/80000, loss=0.1432, lr=0.001484, batch_cost=0.5540, reader_cost=0.0002 | ETA 01:28:38 2020-12-17 04:38:33 [INFO] [TRAIN] epoch=190, iter=70410/80000, loss=0.1776, lr=0.001482, batch_cost=0.5570, reader_cost=0.0001 | ETA 01:29:01 2020-12-17 04:38:38 [INFO] [TRAIN] epoch=190, iter=70420/80000, loss=0.1444, lr=0.001481, batch_cost=0.5707, reader_cost=0.0001 | ETA 01:31:07 2020-12-17 04:38:44 [INFO] [TRAIN] epoch=190, iter=70430/80000, loss=0.1513, lr=0.001479, batch_cost=0.5455, reader_cost=0.0001 | ETA 01:27:00 2020-12-17 04:38:49 [INFO] [TRAIN] epoch=190, iter=70440/80000, loss=0.1344, lr=0.001478, batch_cost=0.5589, reader_cost=0.0001 | ETA 01:29:03 2020-12-17 04:38:55 [INFO] [TRAIN] epoch=190, iter=70450/80000, loss=0.1483, lr=0.001477, batch_cost=0.5339, reader_cost=0.0001 | ETA 01:24:59 2020-12-17 04:39:00 [INFO] [TRAIN] epoch=190, iter=70460/80000, loss=0.2155, lr=0.001475, batch_cost=0.5444, reader_cost=0.0010 | ETA 01:26:33 2020-12-17 04:39:06 [INFO] [TRAIN] epoch=190, iter=70470/80000, loss=0.1984, lr=0.001474, batch_cost=0.5322, reader_cost=0.0001 | ETA 01:24:31 2020-12-17 04:39:11 [INFO] [TRAIN] epoch=190, iter=70480/80000, loss=0.1399, lr=0.001472, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:25:19 2020-12-17 04:39:16 [INFO] [TRAIN] epoch=190, iter=70490/80000, loss=0.1376, lr=0.001471, batch_cost=0.5437, reader_cost=0.0001 | ETA 01:26:10 2020-12-17 04:39:22 [INFO] [TRAIN] epoch=190, iter=70500/80000, loss=0.1554, lr=0.001470, batch_cost=0.5515, reader_cost=0.0001 | ETA 01:27:19 2020-12-17 04:39:27 [INFO] [TRAIN] epoch=190, iter=70510/80000, loss=0.1287, lr=0.001468, batch_cost=0.5449, reader_cost=0.0002 | ETA 01:26:10 2020-12-17 04:39:33 [INFO] [TRAIN] epoch=190, iter=70520/80000, loss=0.1948, lr=0.001467, batch_cost=0.5448, reader_cost=0.0001 | ETA 01:26:04 2020-12-17 04:39:38 [INFO] [TRAIN] epoch=190, iter=70530/80000, loss=0.1583, lr=0.001465, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:25:00 2020-12-17 04:39:44 [INFO] [TRAIN] epoch=190, iter=70540/80000, loss=0.1354, lr=0.001464, batch_cost=0.5445, reader_cost=0.0001 | ETA 01:25:51 2020-12-17 04:39:49 [INFO] [TRAIN] epoch=190, iter=70550/80000, loss=0.1611, lr=0.001463, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:25:02 2020-12-17 04:39:54 [INFO] [TRAIN] epoch=190, iter=70560/80000, loss=0.1573, lr=0.001461, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:24:16 2020-12-17 04:40:00 [INFO] [TRAIN] epoch=190, iter=70570/80000, loss=0.1817, lr=0.001460, batch_cost=0.5500, reader_cost=0.0001 | ETA 01:26:26 2020-12-17 04:40:05 [INFO] [TRAIN] epoch=190, iter=70580/80000, loss=0.1933, lr=0.001458, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:24:27 2020-12-17 04:40:11 [INFO] [TRAIN] epoch=190, iter=70590/80000, loss=0.1329, lr=0.001457, batch_cost=0.5634, reader_cost=0.0003 | ETA 01:28:21 2020-12-17 04:40:16 [INFO] [TRAIN] epoch=190, iter=70600/80000, loss=0.2207, lr=0.001456, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:25:09 2020-12-17 04:40:22 [INFO] [TRAIN] epoch=190, iter=70610/80000, loss=0.2114, lr=0.001454, batch_cost=0.5463, reader_cost=0.0003 | ETA 01:25:29 2020-12-17 04:40:27 [INFO] [TRAIN] epoch=190, iter=70620/80000, loss=0.1131, lr=0.001453, batch_cost=0.5414, reader_cost=0.0015 | ETA 01:24:38 2020-12-17 04:40:33 [INFO] [TRAIN] epoch=190, iter=70630/80000, loss=0.1389, lr=0.001452, batch_cost=0.5348, reader_cost=0.0001 | ETA 01:23:31 2020-12-17 04:40:38 [INFO] [TRAIN] epoch=190, iter=70640/80000, loss=0.1473, lr=0.001450, batch_cost=0.5419, reader_cost=0.0001 | ETA 01:24:32 2020-12-17 04:40:43 [INFO] [TRAIN] epoch=190, iter=70650/80000, loss=0.2255, lr=0.001449, batch_cost=0.5484, reader_cost=0.0001 | ETA 01:25:27 2020-12-17 04:40:49 [INFO] [TRAIN] epoch=190, iter=70660/80000, loss=0.1177, lr=0.001447, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:23:17 2020-12-17 04:40:54 [INFO] [TRAIN] epoch=190, iter=70670/80000, loss=0.1345, lr=0.001446, batch_cost=0.5566, reader_cost=0.0001 | ETA 01:26:33 2020-12-17 04:40:59 [INFO] [TRAIN] epoch=190, iter=70680/80000, loss=0.1259, lr=0.001445, batch_cost=0.5151, reader_cost=0.0001 | ETA 01:20:00 2020-12-17 04:41:06 [INFO] [TRAIN] epoch=191, iter=70690/80000, loss=0.1348, lr=0.001443, batch_cost=0.6552, reader_cost=0.0881 | ETA 01:41:40 2020-12-17 04:41:12 [INFO] [TRAIN] epoch=191, iter=70700/80000, loss=0.1217, lr=0.001442, batch_cost=0.5614, reader_cost=0.0001 | ETA 01:27:00 2020-12-17 04:41:17 [INFO] [TRAIN] epoch=191, iter=70710/80000, loss=0.1559, lr=0.001440, batch_cost=0.5469, reader_cost=0.0001 | ETA 01:24:40 2020-12-17 04:41:23 [INFO] [TRAIN] epoch=191, iter=70720/80000, loss=0.1068, lr=0.001439, batch_cost=0.5593, reader_cost=0.0001 | ETA 01:26:30 2020-12-17 04:41:28 [INFO] [TRAIN] epoch=191, iter=70730/80000, loss=0.1537, lr=0.001438, batch_cost=0.5506, reader_cost=0.0001 | ETA 01:25:04 2020-12-17 04:41:34 [INFO] [TRAIN] epoch=191, iter=70740/80000, loss=0.1624, lr=0.001436, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:23:47 2020-12-17 04:41:39 [INFO] [TRAIN] epoch=191, iter=70750/80000, loss=0.1713, lr=0.001435, batch_cost=0.5539, reader_cost=0.0002 | ETA 01:25:23 2020-12-17 04:41:45 [INFO] [TRAIN] epoch=191, iter=70760/80000, loss=0.1451, lr=0.001433, batch_cost=0.5483, reader_cost=0.0001 | ETA 01:24:26 2020-12-17 04:41:50 [INFO] [TRAIN] epoch=191, iter=70770/80000, loss=0.1565, lr=0.001432, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:22:20 2020-12-17 04:41:55 [INFO] [TRAIN] epoch=191, iter=70780/80000, loss=0.1422, lr=0.001431, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:23:05 2020-12-17 04:42:01 [INFO] [TRAIN] epoch=191, iter=70790/80000, loss=0.2374, lr=0.001429, batch_cost=0.5438, reader_cost=0.0001 | ETA 01:23:28 2020-12-17 04:42:06 [INFO] [TRAIN] epoch=191, iter=70800/80000, loss=0.1637, lr=0.001428, batch_cost=0.5510, reader_cost=0.0001 | ETA 01:24:28 2020-12-17 04:42:12 [INFO] [TRAIN] epoch=191, iter=70810/80000, loss=0.1382, lr=0.001426, batch_cost=0.5429, reader_cost=0.0001 | ETA 01:23:08 2020-12-17 04:42:17 [INFO] [TRAIN] epoch=191, iter=70820/80000, loss=0.1969, lr=0.001425, batch_cost=0.5492, reader_cost=0.0001 | ETA 01:24:01 2020-12-17 04:42:23 [INFO] [TRAIN] epoch=191, iter=70830/80000, loss=0.1811, lr=0.001424, batch_cost=0.5341, reader_cost=0.0001 | ETA 01:21:37 2020-12-17 04:42:28 [INFO] [TRAIN] epoch=191, iter=70840/80000, loss=0.1544, lr=0.001422, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:22:14 2020-12-17 04:42:33 [INFO] [TRAIN] epoch=191, iter=70850/80000, loss=0.2041, lr=0.001421, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:21:33 2020-12-17 04:42:39 [INFO] [TRAIN] epoch=191, iter=70860/80000, loss=0.1583, lr=0.001419, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:22:11 2020-12-17 04:42:44 [INFO] [TRAIN] epoch=191, iter=70870/80000, loss=0.1750, lr=0.001418, batch_cost=0.5409, reader_cost=0.0003 | ETA 01:22:18 2020-12-17 04:42:50 [INFO] [TRAIN] epoch=191, iter=70880/80000, loss=0.1497, lr=0.001417, batch_cost=0.5592, reader_cost=0.0001 | ETA 01:24:59 2020-12-17 04:42:55 [INFO] [TRAIN] epoch=191, iter=70890/80000, loss=0.1971, lr=0.001415, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:21:49 2020-12-17 04:43:00 [INFO] [TRAIN] epoch=191, iter=70900/80000, loss=0.1196, lr=0.001414, batch_cost=0.5304, reader_cost=0.0003 | ETA 01:20:26 2020-12-17 04:43:06 [INFO] [TRAIN] epoch=191, iter=70910/80000, loss=0.1738, lr=0.001412, batch_cost=0.5542, reader_cost=0.0001 | ETA 01:23:57 2020-12-17 04:43:11 [INFO] [TRAIN] epoch=191, iter=70920/80000, loss=0.1436, lr=0.001411, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:21:32 2020-12-17 04:43:17 [INFO] [TRAIN] epoch=191, iter=70930/80000, loss=0.1479, lr=0.001410, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:21:47 2020-12-17 04:43:22 [INFO] [TRAIN] epoch=191, iter=70940/80000, loss=0.1137, lr=0.001408, batch_cost=0.5359, reader_cost=0.0003 | ETA 01:20:55 2020-12-17 04:43:28 [INFO] [TRAIN] epoch=191, iter=70950/80000, loss=0.2074, lr=0.001407, batch_cost=0.5362, reader_cost=0.0019 | ETA 01:20:52 2020-12-17 04:43:33 [INFO] [TRAIN] epoch=191, iter=70960/80000, loss=0.1708, lr=0.001405, batch_cost=0.5289, reader_cost=0.0001 | ETA 01:19:40 2020-12-17 04:43:38 [INFO] [TRAIN] epoch=191, iter=70970/80000, loss=0.1693, lr=0.001404, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:20:51 2020-12-17 04:43:44 [INFO] [TRAIN] epoch=191, iter=70980/80000, loss=0.1517, lr=0.001403, batch_cost=0.5441, reader_cost=0.0002 | ETA 01:21:47 2020-12-17 04:43:49 [INFO] [TRAIN] epoch=191, iter=70990/80000, loss=0.1525, lr=0.001401, batch_cost=0.5555, reader_cost=0.0001 | ETA 01:23:24 2020-12-17 04:43:55 [INFO] [TRAIN] epoch=191, iter=71000/80000, loss=0.1726, lr=0.001400, batch_cost=0.5551, reader_cost=0.0001 | ETA 01:23:16 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 04:43:55 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 04:44:29 [INFO] [EVAL] #Images=500 mIoU=0.7813 Acc=0.9601 Kappa=0.9482 2020-12-17 04:44:29 [INFO] [EVAL] Class IoU: [0.9821 0.8555 0.9208 0.4989 0.6047 0.6 0.7028 0.7797 0.9233 0.6574 0.9473 0.8129 0.6198 0.9502 0.8445 0.8969 0.8206 0.6571 0.7698] 2020-12-17 04:44:29 [INFO] [EVAL] Class Acc: [0.9916 0.9236 0.9479 0.8901 0.8016 0.7894 0.8379 0.9127 0.9539 0.8656 0.9688 0.8815 0.8066 0.974 0.9541 0.9545 0.9344 0.8343 0.8539] 2020-12-17 04:44:32 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 04:44:38 [INFO] [TRAIN] epoch=191, iter=71010/80000, loss=0.1360, lr=0.001398, batch_cost=0.5325, reader_cost=0.0001 | ETA 01:19:47 2020-12-17 04:44:43 [INFO] [TRAIN] epoch=191, iter=71020/80000, loss=0.1687, lr=0.001397, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:20:12 2020-12-17 04:44:48 [INFO] [TRAIN] epoch=191, iter=71030/80000, loss=0.1616, lr=0.001396, batch_cost=0.5325, reader_cost=0.0001 | ETA 01:19:36 2020-12-17 04:44:54 [INFO] [TRAIN] epoch=191, iter=71040/80000, loss=0.1559, lr=0.001394, batch_cost=0.5524, reader_cost=0.0002 | ETA 01:22:29 2020-12-17 04:44:59 [INFO] [TRAIN] epoch=191, iter=71050/80000, loss=0.1524, lr=0.001393, batch_cost=0.5206, reader_cost=0.0001 | ETA 01:17:38 2020-12-17 04:45:06 [INFO] [TRAIN] epoch=192, iter=71060/80000, loss=0.1700, lr=0.001391, batch_cost=0.6305, reader_cost=0.0715 | ETA 01:33:56 2020-12-17 04:45:11 [INFO] [TRAIN] epoch=192, iter=71070/80000, loss=0.1833, lr=0.001390, batch_cost=0.5770, reader_cost=0.0001 | ETA 01:25:52 2020-12-17 04:45:17 [INFO] [TRAIN] epoch=192, iter=71080/80000, loss=0.1603, lr=0.001389, batch_cost=0.5651, reader_cost=0.0001 | ETA 01:24:01 2020-12-17 04:45:23 [INFO] [TRAIN] epoch=192, iter=71090/80000, loss=0.1358, lr=0.001387, batch_cost=0.5620, reader_cost=0.0001 | ETA 01:23:27 2020-12-17 04:45:28 [INFO] [TRAIN] epoch=192, iter=71100/80000, loss=0.1443, lr=0.001386, batch_cost=0.5419, reader_cost=0.0003 | ETA 01:20:23 2020-12-17 04:45:33 [INFO] [TRAIN] epoch=192, iter=71110/80000, loss=0.1247, lr=0.001384, batch_cost=0.5477, reader_cost=0.0001 | ETA 01:21:09 2020-12-17 04:45:39 [INFO] [TRAIN] epoch=192, iter=71120/80000, loss=0.1466, lr=0.001383, batch_cost=0.5344, reader_cost=0.0001 | ETA 01:19:05 2020-12-17 04:45:44 [INFO] [TRAIN] epoch=192, iter=71130/80000, loss=0.1964, lr=0.001382, batch_cost=0.5560, reader_cost=0.0001 | ETA 01:22:11 2020-12-17 04:45:50 [INFO] [TRAIN] epoch=192, iter=71140/80000, loss=0.2344, lr=0.001380, batch_cost=0.5522, reader_cost=0.0001 | ETA 01:21:32 2020-12-17 04:45:55 [INFO] [TRAIN] epoch=192, iter=71150/80000, loss=0.1457, lr=0.001379, batch_cost=0.5281, reader_cost=0.0001 | ETA 01:17:53 2020-12-17 04:46:01 [INFO] [TRAIN] epoch=192, iter=71160/80000, loss=0.1379, lr=0.001377, batch_cost=0.5656, reader_cost=0.0001 | ETA 01:23:19 2020-12-17 04:46:06 [INFO] [TRAIN] epoch=192, iter=71170/80000, loss=0.1453, lr=0.001376, batch_cost=0.5513, reader_cost=0.0001 | ETA 01:21:08 2020-12-17 04:46:12 [INFO] [TRAIN] epoch=192, iter=71180/80000, loss=0.1463, lr=0.001375, batch_cost=0.5602, reader_cost=0.0001 | ETA 01:22:20 2020-12-17 04:46:17 [INFO] [TRAIN] epoch=192, iter=71190/80000, loss=0.1433, lr=0.001373, batch_cost=0.5382, reader_cost=0.0002 | ETA 01:19:01 2020-12-17 04:46:23 [INFO] [TRAIN] epoch=192, iter=71200/80000, loss=0.1261, lr=0.001372, batch_cost=0.5541, reader_cost=0.0001 | ETA 01:21:15 2020-12-17 04:46:28 [INFO] [TRAIN] epoch=192, iter=71210/80000, loss=0.1852, lr=0.001370, batch_cost=0.5272, reader_cost=0.0001 | ETA 01:17:13 2020-12-17 04:46:34 [INFO] [TRAIN] epoch=192, iter=71220/80000, loss=0.1402, lr=0.001369, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:18:38 2020-12-17 04:46:39 [INFO] [TRAIN] epoch=192, iter=71230/80000, loss=0.1735, lr=0.001368, batch_cost=0.5366, reader_cost=0.0001 | ETA 01:18:25 2020-12-17 04:46:44 [INFO] [TRAIN] epoch=192, iter=71240/80000, loss=0.1785, lr=0.001366, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:18:09 2020-12-17 04:46:50 [INFO] [TRAIN] epoch=192, iter=71250/80000, loss=0.1386, lr=0.001365, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:19:00 2020-12-17 04:46:55 [INFO] [TRAIN] epoch=192, iter=71260/80000, loss=0.1486, lr=0.001363, batch_cost=0.5491, reader_cost=0.0001 | ETA 01:19:59 2020-12-17 04:47:00 [INFO] [TRAIN] epoch=192, iter=71270/80000, loss=0.1782, lr=0.001362, batch_cost=0.5294, reader_cost=0.0001 | ETA 01:17:01 2020-12-17 04:47:06 [INFO] [TRAIN] epoch=192, iter=71280/80000, loss=0.1382, lr=0.001361, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:19:04 2020-12-17 04:47:11 [INFO] [TRAIN] epoch=192, iter=71290/80000, loss=0.1219, lr=0.001359, batch_cost=0.5463, reader_cost=0.0001 | ETA 01:19:18 2020-12-17 04:47:17 [INFO] [TRAIN] epoch=192, iter=71300/80000, loss=0.1935, lr=0.001358, batch_cost=0.5437, reader_cost=0.0001 | ETA 01:18:50 2020-12-17 04:47:22 [INFO] [TRAIN] epoch=192, iter=71310/80000, loss=0.1776, lr=0.001356, batch_cost=0.5448, reader_cost=0.0002 | ETA 01:18:54 2020-12-17 04:47:28 [INFO] [TRAIN] epoch=192, iter=71320/80000, loss=0.1634, lr=0.001355, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:17:58 2020-12-17 04:47:33 [INFO] [TRAIN] epoch=192, iter=71330/80000, loss=0.2037, lr=0.001354, batch_cost=0.5449, reader_cost=0.0001 | ETA 01:18:44 2020-12-17 04:47:39 [INFO] [TRAIN] epoch=192, iter=71340/80000, loss=0.1698, lr=0.001352, batch_cost=0.5518, reader_cost=0.0003 | ETA 01:19:38 2020-12-17 04:47:44 [INFO] [TRAIN] epoch=192, iter=71350/80000, loss=0.1472, lr=0.001351, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:17:42 2020-12-17 04:47:49 [INFO] [TRAIN] epoch=192, iter=71360/80000, loss=0.1621, lr=0.001349, batch_cost=0.5408, reader_cost=0.0002 | ETA 01:17:52 2020-12-17 04:47:55 [INFO] [TRAIN] epoch=192, iter=71370/80000, loss=0.1440, lr=0.001348, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:17:17 2020-12-17 04:48:00 [INFO] [TRAIN] epoch=192, iter=71380/80000, loss=0.2530, lr=0.001347, batch_cost=0.5474, reader_cost=0.0001 | ETA 01:18:38 2020-12-17 04:48:06 [INFO] [TRAIN] epoch=192, iter=71390/80000, loss=0.1594, lr=0.001345, batch_cost=0.5459, reader_cost=0.0001 | ETA 01:18:20 2020-12-17 04:48:11 [INFO] [TRAIN] epoch=192, iter=71400/80000, loss=0.1909, lr=0.001344, batch_cost=0.5397, reader_cost=0.0001 | ETA 01:17:21 2020-12-17 04:48:16 [INFO] [TRAIN] epoch=192, iter=71410/80000, loss=0.1211, lr=0.001342, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:16:58 2020-12-17 04:48:22 [INFO] [TRAIN] epoch=192, iter=71420/80000, loss=0.1620, lr=0.001341, batch_cost=0.5327, reader_cost=0.0001 | ETA 01:16:10 2020-12-17 04:48:28 [INFO] [TRAIN] epoch=193, iter=71430/80000, loss=0.1523, lr=0.001340, batch_cost=0.6062, reader_cost=0.0595 | ETA 01:26:35 2020-12-17 04:48:33 [INFO] [TRAIN] epoch=193, iter=71440/80000, loss=0.1272, lr=0.001338, batch_cost=0.5571, reader_cost=0.0003 | ETA 01:19:28 2020-12-17 04:48:39 [INFO] [TRAIN] epoch=193, iter=71450/80000, loss=0.1609, lr=0.001337, batch_cost=0.5655, reader_cost=0.0001 | ETA 01:20:35 2020-12-17 04:48:44 [INFO] [TRAIN] epoch=193, iter=71460/80000, loss=0.1383, lr=0.001335, batch_cost=0.5286, reader_cost=0.0001 | ETA 01:15:14 2020-12-17 04:48:50 [INFO] [TRAIN] epoch=193, iter=71470/80000, loss=0.1749, lr=0.001334, batch_cost=0.5463, reader_cost=0.0001 | ETA 01:17:39 2020-12-17 04:48:55 [INFO] [TRAIN] epoch=193, iter=71480/80000, loss=0.1584, lr=0.001332, batch_cost=0.5355, reader_cost=0.0001 | ETA 01:16:02 2020-12-17 04:49:01 [INFO] [TRAIN] epoch=193, iter=71490/80000, loss=0.1207, lr=0.001331, batch_cost=0.5568, reader_cost=0.0001 | ETA 01:18:58 2020-12-17 04:49:06 [INFO] [TRAIN] epoch=193, iter=71500/80000, loss=0.2225, lr=0.001330, batch_cost=0.5447, reader_cost=0.0001 | ETA 01:17:09 2020-12-17 04:49:12 [INFO] [TRAIN] epoch=193, iter=71510/80000, loss=0.1752, lr=0.001328, batch_cost=0.5480, reader_cost=0.0001 | ETA 01:17:32 2020-12-17 04:49:17 [INFO] [TRAIN] epoch=193, iter=71520/80000, loss=0.1676, lr=0.001327, batch_cost=0.5318, reader_cost=0.0003 | ETA 01:15:09 2020-12-17 04:49:22 [INFO] [TRAIN] epoch=193, iter=71530/80000, loss=0.1798, lr=0.001325, batch_cost=0.5293, reader_cost=0.0005 | ETA 01:14:43 2020-12-17 04:49:28 [INFO] [TRAIN] epoch=193, iter=71540/80000, loss=0.1653, lr=0.001324, batch_cost=0.5232, reader_cost=0.0001 | ETA 01:13:45 2020-12-17 04:49:33 [INFO] [TRAIN] epoch=193, iter=71550/80000, loss=0.1696, lr=0.001323, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:15:57 2020-12-17 04:49:38 [INFO] [TRAIN] epoch=193, iter=71560/80000, loss=0.1851, lr=0.001321, batch_cost=0.5516, reader_cost=0.0002 | ETA 01:17:35 2020-12-17 04:49:44 [INFO] [TRAIN] epoch=193, iter=71570/80000, loss=0.1703, lr=0.001320, batch_cost=0.5460, reader_cost=0.0001 | ETA 01:16:43 2020-12-17 04:49:49 [INFO] [TRAIN] epoch=193, iter=71580/80000, loss=0.1244, lr=0.001318, batch_cost=0.5557, reader_cost=0.0001 | ETA 01:17:59 2020-12-17 04:49:55 [INFO] [TRAIN] epoch=193, iter=71590/80000, loss=0.1917, lr=0.001317, batch_cost=0.5616, reader_cost=0.0001 | ETA 01:18:43 2020-12-17 04:50:01 [INFO] [TRAIN] epoch=193, iter=71600/80000, loss=0.1594, lr=0.001316, batch_cost=0.5537, reader_cost=0.0001 | ETA 01:17:30 2020-12-17 04:50:06 [INFO] [TRAIN] epoch=193, iter=71610/80000, loss=0.1872, lr=0.001314, batch_cost=0.5454, reader_cost=0.0001 | ETA 01:16:15 2020-12-17 04:50:12 [INFO] [TRAIN] epoch=193, iter=71620/80000, loss=0.1546, lr=0.001313, batch_cost=0.5540, reader_cost=0.0001 | ETA 01:17:22 2020-12-17 04:50:17 [INFO] [TRAIN] epoch=193, iter=71630/80000, loss=0.1669, lr=0.001311, batch_cost=0.5512, reader_cost=0.0001 | ETA 01:16:53 2020-12-17 04:50:23 [INFO] [TRAIN] epoch=193, iter=71640/80000, loss=0.1610, lr=0.001310, batch_cost=0.5455, reader_cost=0.0001 | ETA 01:16:00 2020-12-17 04:50:28 [INFO] [TRAIN] epoch=193, iter=71650/80000, loss=0.1480, lr=0.001309, batch_cost=0.5480, reader_cost=0.0001 | ETA 01:16:15 2020-12-17 04:50:33 [INFO] [TRAIN] epoch=193, iter=71660/80000, loss=0.1761, lr=0.001307, batch_cost=0.5334, reader_cost=0.0001 | ETA 01:14:08 2020-12-17 04:50:39 [INFO] [TRAIN] epoch=193, iter=71670/80000, loss=0.1201, lr=0.001306, batch_cost=0.5479, reader_cost=0.0001 | ETA 01:16:04 2020-12-17 04:50:44 [INFO] [TRAIN] epoch=193, iter=71680/80000, loss=0.1258, lr=0.001304, batch_cost=0.5553, reader_cost=0.0001 | ETA 01:17:00 2020-12-17 04:50:50 [INFO] [TRAIN] epoch=193, iter=71690/80000, loss=0.1556, lr=0.001303, batch_cost=0.5347, reader_cost=0.0002 | ETA 01:14:03 2020-12-17 04:50:55 [INFO] [TRAIN] epoch=193, iter=71700/80000, loss=0.1598, lr=0.001301, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:15:07 2020-12-17 04:51:01 [INFO] [TRAIN] epoch=193, iter=71710/80000, loss=0.1730, lr=0.001300, batch_cost=0.5396, reader_cost=0.0002 | ETA 01:14:33 2020-12-17 04:51:06 [INFO] [TRAIN] epoch=193, iter=71720/80000, loss=0.1453, lr=0.001299, batch_cost=0.5432, reader_cost=0.0001 | ETA 01:14:57 2020-12-17 04:51:11 [INFO] [TRAIN] epoch=193, iter=71730/80000, loss=0.1581, lr=0.001297, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:14:14 2020-12-17 04:51:17 [INFO] [TRAIN] epoch=193, iter=71740/80000, loss=0.1647, lr=0.001296, batch_cost=0.5472, reader_cost=0.0002 | ETA 01:15:19 2020-12-17 04:51:22 [INFO] [TRAIN] epoch=193, iter=71750/80000, loss=0.1362, lr=0.001294, batch_cost=0.5300, reader_cost=0.0001 | ETA 01:12:52 2020-12-17 04:51:28 [INFO] [TRAIN] epoch=193, iter=71760/80000, loss=0.1544, lr=0.001293, batch_cost=0.5445, reader_cost=0.0001 | ETA 01:14:46 2020-12-17 04:51:33 [INFO] [TRAIN] epoch=193, iter=71770/80000, loss=0.1410, lr=0.001292, batch_cost=0.5398, reader_cost=0.0003 | ETA 01:14:02 2020-12-17 04:51:38 [INFO] [TRAIN] epoch=193, iter=71780/80000, loss=0.1526, lr=0.001290, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:13:47 2020-12-17 04:51:44 [INFO] [TRAIN] epoch=193, iter=71790/80000, loss=0.1686, lr=0.001289, batch_cost=0.5419, reader_cost=0.0002 | ETA 01:14:09 2020-12-17 04:51:50 [INFO] [TRAIN] epoch=194, iter=71800/80000, loss=0.1582, lr=0.001287, batch_cost=0.5917, reader_cost=0.0755 | ETA 01:20:52 2020-12-17 04:51:55 [INFO] [TRAIN] epoch=194, iter=71810/80000, loss=0.1436, lr=0.001286, batch_cost=0.5558, reader_cost=0.0001 | ETA 01:15:51 2020-12-17 04:52:01 [INFO] [TRAIN] epoch=194, iter=71820/80000, loss=0.1802, lr=0.001285, batch_cost=0.5689, reader_cost=0.0001 | ETA 01:17:33 2020-12-17 04:52:07 [INFO] [TRAIN] epoch=194, iter=71830/80000, loss=0.1471, lr=0.001283, batch_cost=0.5600, reader_cost=0.0002 | ETA 01:16:15 2020-12-17 04:52:12 [INFO] [TRAIN] epoch=194, iter=71840/80000, loss=0.2050, lr=0.001282, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:12:53 2020-12-17 04:52:18 [INFO] [TRAIN] epoch=194, iter=71850/80000, loss=0.1326, lr=0.001280, batch_cost=0.5524, reader_cost=0.0002 | ETA 01:15:02 2020-12-17 04:52:23 [INFO] [TRAIN] epoch=194, iter=71860/80000, loss=0.1677, lr=0.001279, batch_cost=0.5213, reader_cost=0.0003 | ETA 01:10:43 2020-12-17 04:52:28 [INFO] [TRAIN] epoch=194, iter=71870/80000, loss=0.1315, lr=0.001277, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:13:44 2020-12-17 04:52:34 [INFO] [TRAIN] epoch=194, iter=71880/80000, loss=0.1479, lr=0.001276, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:12:42 2020-12-17 04:52:39 [INFO] [TRAIN] epoch=194, iter=71890/80000, loss=0.1561, lr=0.001275, batch_cost=0.5525, reader_cost=0.0002 | ETA 01:14:40 2020-12-17 04:52:45 [INFO] [TRAIN] epoch=194, iter=71900/80000, loss=0.1491, lr=0.001273, batch_cost=0.5451, reader_cost=0.0001 | ETA 01:13:35 2020-12-17 04:52:50 [INFO] [TRAIN] epoch=194, iter=71910/80000, loss=0.1582, lr=0.001272, batch_cost=0.5354, reader_cost=0.0002 | ETA 01:12:11 2020-12-17 04:52:55 [INFO] [TRAIN] epoch=194, iter=71920/80000, loss=0.1507, lr=0.001270, batch_cost=0.5486, reader_cost=0.0001 | ETA 01:13:52 2020-12-17 04:53:01 [INFO] [TRAIN] epoch=194, iter=71930/80000, loss=0.1292, lr=0.001269, batch_cost=0.5507, reader_cost=0.0001 | ETA 01:14:04 2020-12-17 04:53:06 [INFO] [TRAIN] epoch=194, iter=71940/80000, loss=0.1623, lr=0.001268, batch_cost=0.5619, reader_cost=0.0001 | ETA 01:15:29 2020-12-17 04:53:12 [INFO] [TRAIN] epoch=194, iter=71950/80000, loss=0.1429, lr=0.001266, batch_cost=0.5307, reader_cost=0.0001 | ETA 01:11:11 2020-12-17 04:53:17 [INFO] [TRAIN] epoch=194, iter=71960/80000, loss=0.1940, lr=0.001265, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:11:54 2020-12-17 04:53:23 [INFO] [TRAIN] epoch=194, iter=71970/80000, loss=0.2053, lr=0.001263, batch_cost=0.5496, reader_cost=0.0001 | ETA 01:13:33 2020-12-17 04:53:28 [INFO] [TRAIN] epoch=194, iter=71980/80000, loss=0.1528, lr=0.001262, batch_cost=0.5463, reader_cost=0.0002 | ETA 01:13:01 2020-12-17 04:53:34 [INFO] [TRAIN] epoch=194, iter=71990/80000, loss=0.1662, lr=0.001260, batch_cost=0.5422, reader_cost=0.0001 | ETA 01:12:22 2020-12-17 04:53:39 [INFO] [TRAIN] epoch=194, iter=72000/80000, loss=0.1465, lr=0.001259, batch_cost=0.5567, reader_cost=0.0001 | ETA 01:14:13 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-17 04:53:39 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 04:54:13 [INFO] [EVAL] #Images=500 mIoU=0.7834 Acc=0.9607 Kappa=0.9489 2020-12-17 04:54:13 [INFO] [EVAL] Class IoU: [0.9831 0.8632 0.9219 0.5235 0.6026 0.6022 0.7029 0.778 0.9231 0.6531 0.948 0.813 0.6256 0.9502 0.8321 0.8999 0.8276 0.6617 0.7725] 2020-12-17 04:54:13 [INFO] [EVAL] Class Acc: [0.9932 0.9227 0.9503 0.8732 0.8215 0.7778 0.8393 0.9095 0.9535 0.8371 0.97 0.8811 0.8008 0.9729 0.9594 0.9572 0.9327 0.8311 0.8542] 2020-12-17 04:54:17 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 04:54:23 [INFO] [TRAIN] epoch=194, iter=72010/80000, loss=0.1848, lr=0.001258, batch_cost=0.5489, reader_cost=0.0001 | ETA 01:13:05 2020-12-17 04:54:28 [INFO] [TRAIN] epoch=194, iter=72020/80000, loss=0.1925, lr=0.001256, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:11:23 2020-12-17 04:54:33 [INFO] [TRAIN] epoch=194, iter=72030/80000, loss=0.1276, lr=0.001255, batch_cost=0.5451, reader_cost=0.0002 | ETA 01:12:24 2020-12-17 04:54:39 [INFO] [TRAIN] epoch=194, iter=72040/80000, loss=0.1294, lr=0.001253, batch_cost=0.5492, reader_cost=0.0001 | ETA 01:12:51 2020-12-17 04:54:44 [INFO] [TRAIN] epoch=194, iter=72050/80000, loss=0.1048, lr=0.001252, batch_cost=0.5314, reader_cost=0.0001 | ETA 01:10:24 2020-12-17 04:54:50 [INFO] [TRAIN] epoch=194, iter=72060/80000, loss=0.1747, lr=0.001251, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:10:59 2020-12-17 04:54:55 [INFO] [TRAIN] epoch=194, iter=72070/80000, loss=0.1301, lr=0.001249, batch_cost=0.5261, reader_cost=0.0001 | ETA 01:09:31 2020-12-17 04:55:00 [INFO] [TRAIN] epoch=194, iter=72080/80000, loss=0.1578, lr=0.001248, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:11:30 2020-12-17 04:55:06 [INFO] [TRAIN] epoch=194, iter=72090/80000, loss=0.1607, lr=0.001246, batch_cost=0.5561, reader_cost=0.0001 | ETA 01:13:18 2020-12-17 04:55:11 [INFO] [TRAIN] epoch=194, iter=72100/80000, loss=0.1409, lr=0.001245, batch_cost=0.5348, reader_cost=0.0001 | ETA 01:10:24 2020-12-17 04:55:17 [INFO] [TRAIN] epoch=194, iter=72110/80000, loss=0.1466, lr=0.001243, batch_cost=0.5536, reader_cost=0.0003 | ETA 01:12:47 2020-12-17 04:55:22 [INFO] [TRAIN] epoch=194, iter=72120/80000, loss=0.1730, lr=0.001242, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:11:07 2020-12-17 04:55:28 [INFO] [TRAIN] epoch=194, iter=72130/80000, loss=0.1796, lr=0.001241, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:11:13 2020-12-17 04:55:33 [INFO] [TRAIN] epoch=194, iter=72140/80000, loss=0.1848, lr=0.001239, batch_cost=0.5419, reader_cost=0.0001 | ETA 01:10:59 2020-12-17 04:55:38 [INFO] [TRAIN] epoch=194, iter=72150/80000, loss=0.1271, lr=0.001238, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:10:20 2020-12-17 04:55:44 [INFO] [TRAIN] epoch=194, iter=72160/80000, loss=0.1383, lr=0.001236, batch_cost=0.5446, reader_cost=0.0001 | ETA 01:11:09 2020-12-17 04:55:50 [INFO] [TRAIN] epoch=195, iter=72170/80000, loss=0.1784, lr=0.001235, batch_cost=0.5735, reader_cost=0.0685 | ETA 01:14:50 2020-12-17 04:55:55 [INFO] [TRAIN] epoch=195, iter=72180/80000, loss=0.1017, lr=0.001234, batch_cost=0.5862, reader_cost=0.0016 | ETA 01:16:23 2020-12-17 04:56:01 [INFO] [TRAIN] epoch=195, iter=72190/80000, loss=0.1534, lr=0.001232, batch_cost=0.5683, reader_cost=0.0001 | ETA 01:13:58 2020-12-17 04:56:07 [INFO] [TRAIN] epoch=195, iter=72200/80000, loss=0.1698, lr=0.001231, batch_cost=0.5731, reader_cost=0.0001 | ETA 01:14:29 2020-12-17 04:56:12 [INFO] [TRAIN] epoch=195, iter=72210/80000, loss=0.1354, lr=0.001229, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:09:44 2020-12-17 04:56:18 [INFO] [TRAIN] epoch=195, iter=72220/80000, loss=0.1238, lr=0.001228, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:09:31 2020-12-17 04:56:23 [INFO] [TRAIN] epoch=195, iter=72230/80000, loss=0.1179, lr=0.001226, batch_cost=0.5605, reader_cost=0.0001 | ETA 01:12:35 2020-12-17 04:56:29 [INFO] [TRAIN] epoch=195, iter=72240/80000, loss=0.1694, lr=0.001225, batch_cost=0.5529, reader_cost=0.0002 | ETA 01:11:30 2020-12-17 04:56:34 [INFO] [TRAIN] epoch=195, iter=72250/80000, loss=0.1527, lr=0.001224, batch_cost=0.5505, reader_cost=0.0001 | ETA 01:11:06 2020-12-17 04:56:40 [INFO] [TRAIN] epoch=195, iter=72260/80000, loss=0.1403, lr=0.001222, batch_cost=0.5380, reader_cost=0.0001 | ETA 01:09:23 2020-12-17 04:56:45 [INFO] [TRAIN] epoch=195, iter=72270/80000, loss=0.1392, lr=0.001221, batch_cost=0.5565, reader_cost=0.0001 | ETA 01:11:41 2020-12-17 04:56:51 [INFO] [TRAIN] epoch=195, iter=72280/80000, loss=0.1189, lr=0.001219, batch_cost=0.5449, reader_cost=0.0001 | ETA 01:10:06 2020-12-17 04:56:56 [INFO] [TRAIN] epoch=195, iter=72290/80000, loss=0.1486, lr=0.001218, batch_cost=0.5566, reader_cost=0.0002 | ETA 01:11:31 2020-12-17 04:57:02 [INFO] [TRAIN] epoch=195, iter=72300/80000, loss=0.1593, lr=0.001216, batch_cost=0.5420, reader_cost=0.0001 | ETA 01:09:33 2020-12-17 04:57:07 [INFO] [TRAIN] epoch=195, iter=72310/80000, loss=0.1665, lr=0.001215, batch_cost=0.5598, reader_cost=0.0001 | ETA 01:11:44 2020-12-17 04:57:13 [INFO] [TRAIN] epoch=195, iter=72320/80000, loss=0.1912, lr=0.001214, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:08:54 2020-12-17 04:57:18 [INFO] [TRAIN] epoch=195, iter=72330/80000, loss=0.1658, lr=0.001212, batch_cost=0.5482, reader_cost=0.0001 | ETA 01:10:04 2020-12-17 04:57:23 [INFO] [TRAIN] epoch=195, iter=72340/80000, loss=0.1917, lr=0.001211, batch_cost=0.5449, reader_cost=0.0001 | ETA 01:09:34 2020-12-17 04:57:29 [INFO] [TRAIN] epoch=195, iter=72350/80000, loss=0.1987, lr=0.001209, batch_cost=0.5481, reader_cost=0.0001 | ETA 01:09:52 2020-12-17 04:57:34 [INFO] [TRAIN] epoch=195, iter=72360/80000, loss=0.1689, lr=0.001208, batch_cost=0.5535, reader_cost=0.0001 | ETA 01:10:28 2020-12-17 04:57:40 [INFO] [TRAIN] epoch=195, iter=72370/80000, loss=0.1360, lr=0.001207, batch_cost=0.5298, reader_cost=0.0001 | ETA 01:07:22 2020-12-17 04:57:45 [INFO] [TRAIN] epoch=195, iter=72380/80000, loss=0.1454, lr=0.001205, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:07:56 2020-12-17 04:57:50 [INFO] [TRAIN] epoch=195, iter=72390/80000, loss=0.1661, lr=0.001204, batch_cost=0.5324, reader_cost=0.0002 | ETA 01:07:31 2020-12-17 04:57:56 [INFO] [TRAIN] epoch=195, iter=72400/80000, loss=0.1490, lr=0.001202, batch_cost=0.5481, reader_cost=0.0001 | ETA 01:09:25 2020-12-17 04:58:02 [INFO] [TRAIN] epoch=195, iter=72410/80000, loss=0.1177, lr=0.001201, batch_cost=0.5587, reader_cost=0.0001 | ETA 01:10:40 2020-12-17 04:58:07 [INFO] [TRAIN] epoch=195, iter=72420/80000, loss=0.1568, lr=0.001199, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:08:39 2020-12-17 04:58:12 [INFO] [TRAIN] epoch=195, iter=72430/80000, loss=0.1427, lr=0.001198, batch_cost=0.5447, reader_cost=0.0001 | ETA 01:08:43 2020-12-17 04:58:18 [INFO] [TRAIN] epoch=195, iter=72440/80000, loss=0.1500, lr=0.001197, batch_cost=0.5460, reader_cost=0.0010 | ETA 01:08:47 2020-12-17 04:58:23 [INFO] [TRAIN] epoch=195, iter=72450/80000, loss=0.1691, lr=0.001195, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:07:44 2020-12-17 04:58:29 [INFO] [TRAIN] epoch=195, iter=72460/80000, loss=0.1709, lr=0.001194, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:08:00 2020-12-17 04:58:34 [INFO] [TRAIN] epoch=195, iter=72470/80000, loss=0.1901, lr=0.001192, batch_cost=0.5582, reader_cost=0.0001 | ETA 01:10:03 2020-12-17 04:58:40 [INFO] [TRAIN] epoch=195, iter=72480/80000, loss=0.1831, lr=0.001191, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:08:12 2020-12-17 04:58:45 [INFO] [TRAIN] epoch=195, iter=72490/80000, loss=0.1245, lr=0.001189, batch_cost=0.5406, reader_cost=0.0003 | ETA 01:07:39 2020-12-17 04:58:51 [INFO] [TRAIN] epoch=195, iter=72500/80000, loss=0.1932, lr=0.001188, batch_cost=0.5443, reader_cost=0.0001 | ETA 01:08:02 2020-12-17 04:58:56 [INFO] [TRAIN] epoch=195, iter=72510/80000, loss=0.1482, lr=0.001187, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:07:18 2020-12-17 04:59:01 [INFO] [TRAIN] epoch=195, iter=72520/80000, loss=0.1226, lr=0.001185, batch_cost=0.5460, reader_cost=0.0001 | ETA 01:08:03 2020-12-17 04:59:07 [INFO] [TRAIN] epoch=195, iter=72530/80000, loss=0.1629, lr=0.001184, batch_cost=0.5489, reader_cost=0.0001 | ETA 01:08:20 2020-12-17 04:59:12 [INFO] [TRAIN] epoch=195, iter=72540/80000, loss=0.1162, lr=0.001182, batch_cost=0.5109, reader_cost=0.0001 | ETA 01:03:30 2020-12-17 04:59:18 [INFO] [TRAIN] epoch=196, iter=72550/80000, loss=0.1757, lr=0.001181, batch_cost=0.6160, reader_cost=0.0658 | ETA 01:16:28 2020-12-17 04:59:24 [INFO] [TRAIN] epoch=196, iter=72560/80000, loss=0.2119, lr=0.001179, batch_cost=0.5705, reader_cost=0.0001 | ETA 01:10:44 2020-12-17 04:59:29 [INFO] [TRAIN] epoch=196, iter=72570/80000, loss=0.1786, lr=0.001178, batch_cost=0.5557, reader_cost=0.0001 | ETA 01:08:49 2020-12-17 04:59:35 [INFO] [TRAIN] epoch=196, iter=72580/80000, loss=0.1525, lr=0.001177, batch_cost=0.5341, reader_cost=0.0001 | ETA 01:06:02 2020-12-17 04:59:40 [INFO] [TRAIN] epoch=196, iter=72590/80000, loss=0.1407, lr=0.001175, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:06:03 2020-12-17 04:59:46 [INFO] [TRAIN] epoch=196, iter=72600/80000, loss=0.1498, lr=0.001174, batch_cost=0.5380, reader_cost=0.0001 | ETA 01:06:21 2020-12-17 04:59:51 [INFO] [TRAIN] epoch=196, iter=72610/80000, loss=0.1796, lr=0.001172, batch_cost=0.5503, reader_cost=0.0001 | ETA 01:07:46 2020-12-17 04:59:56 [INFO] [TRAIN] epoch=196, iter=72620/80000, loss=0.1864, lr=0.001171, batch_cost=0.5263, reader_cost=0.0002 | ETA 01:04:44 2020-12-17 05:00:02 [INFO] [TRAIN] epoch=196, iter=72630/80000, loss=0.1694, lr=0.001169, batch_cost=0.5371, reader_cost=0.0001 | ETA 01:05:58 2020-12-17 05:00:07 [INFO] [TRAIN] epoch=196, iter=72640/80000, loss=0.1600, lr=0.001168, batch_cost=0.5324, reader_cost=0.0001 | ETA 01:05:18 2020-12-17 05:00:12 [INFO] [TRAIN] epoch=196, iter=72650/80000, loss=0.1547, lr=0.001167, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:05:56 2020-12-17 05:00:18 [INFO] [TRAIN] epoch=196, iter=72660/80000, loss=0.1471, lr=0.001165, batch_cost=0.5459, reader_cost=0.0001 | ETA 01:06:46 2020-12-17 05:00:23 [INFO] [TRAIN] epoch=196, iter=72670/80000, loss=0.1300, lr=0.001164, batch_cost=0.5268, reader_cost=0.0001 | ETA 01:04:21 2020-12-17 05:00:28 [INFO] [TRAIN] epoch=196, iter=72680/80000, loss=0.1925, lr=0.001162, batch_cost=0.5328, reader_cost=0.0001 | ETA 01:05:00 2020-12-17 05:00:34 [INFO] [TRAIN] epoch=196, iter=72690/80000, loss=0.1285, lr=0.001161, batch_cost=0.5225, reader_cost=0.0001 | ETA 01:03:39 2020-12-17 05:00:39 [INFO] [TRAIN] epoch=196, iter=72700/80000, loss=0.1966, lr=0.001159, batch_cost=0.5328, reader_cost=0.0001 | ETA 01:04:49 2020-12-17 05:00:44 [INFO] [TRAIN] epoch=196, iter=72710/80000, loss=0.1625, lr=0.001158, batch_cost=0.5464, reader_cost=0.0001 | ETA 01:06:23 2020-12-17 05:00:50 [INFO] [TRAIN] epoch=196, iter=72720/80000, loss=0.1569, lr=0.001157, batch_cost=0.5341, reader_cost=0.0002 | ETA 01:04:47 2020-12-17 05:00:55 [INFO] [TRAIN] epoch=196, iter=72730/80000, loss=0.2161, lr=0.001155, batch_cost=0.5495, reader_cost=0.0001 | ETA 01:06:34 2020-12-17 05:01:01 [INFO] [TRAIN] epoch=196, iter=72740/80000, loss=0.1644, lr=0.001154, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:04:51 2020-12-17 05:01:06 [INFO] [TRAIN] epoch=196, iter=72750/80000, loss=0.1405, lr=0.001152, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:05:15 2020-12-17 05:01:12 [INFO] [TRAIN] epoch=196, iter=72760/80000, loss=0.1164, lr=0.001151, batch_cost=0.5640, reader_cost=0.0001 | ETA 01:08:03 2020-12-17 05:01:17 [INFO] [TRAIN] epoch=196, iter=72770/80000, loss=0.1632, lr=0.001149, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:05:33 2020-12-17 05:01:23 [INFO] [TRAIN] epoch=196, iter=72780/80000, loss=0.2028, lr=0.001148, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:05:28 2020-12-17 05:01:28 [INFO] [TRAIN] epoch=196, iter=72790/80000, loss=0.1822, lr=0.001147, batch_cost=0.5345, reader_cost=0.0005 | ETA 01:04:13 2020-12-17 05:01:33 [INFO] [TRAIN] epoch=196, iter=72800/80000, loss=0.1546, lr=0.001145, batch_cost=0.5327, reader_cost=0.0001 | ETA 01:03:55 2020-12-17 05:01:39 [INFO] [TRAIN] epoch=196, iter=72810/80000, loss=0.1614, lr=0.001144, batch_cost=0.5499, reader_cost=0.0001 | ETA 01:05:53 2020-12-17 05:01:44 [INFO] [TRAIN] epoch=196, iter=72820/80000, loss=0.1814, lr=0.001142, batch_cost=0.5412, reader_cost=0.0002 | ETA 01:04:45 2020-12-17 05:01:50 [INFO] [TRAIN] epoch=196, iter=72830/80000, loss=0.1433, lr=0.001141, batch_cost=0.5423, reader_cost=0.0001 | ETA 01:04:47 2020-12-17 05:01:55 [INFO] [TRAIN] epoch=196, iter=72840/80000, loss=0.1490, lr=0.001139, batch_cost=0.5319, reader_cost=0.0001 | ETA 01:03:28 2020-12-17 05:02:00 [INFO] [TRAIN] epoch=196, iter=72850/80000, loss=0.1189, lr=0.001138, batch_cost=0.5476, reader_cost=0.0001 | ETA 01:05:15 2020-12-17 05:02:06 [INFO] [TRAIN] epoch=196, iter=72860/80000, loss=0.1446, lr=0.001137, batch_cost=0.5467, reader_cost=0.0001 | ETA 01:05:03 2020-12-17 05:02:11 [INFO] [TRAIN] epoch=196, iter=72870/80000, loss=0.2212, lr=0.001135, batch_cost=0.5488, reader_cost=0.0001 | ETA 01:05:13 2020-12-17 05:02:17 [INFO] [TRAIN] epoch=196, iter=72880/80000, loss=0.2068, lr=0.001134, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:03:37 2020-12-17 05:02:22 [INFO] [TRAIN] epoch=196, iter=72890/80000, loss=0.1891, lr=0.001132, batch_cost=0.5260, reader_cost=0.0002 | ETA 01:02:19 2020-12-17 05:02:27 [INFO] [TRAIN] epoch=196, iter=72900/80000, loss=0.1602, lr=0.001131, batch_cost=0.5248, reader_cost=0.0001 | ETA 01:02:06 2020-12-17 05:02:33 [INFO] [TRAIN] epoch=196, iter=72910/80000, loss=0.1792, lr=0.001129, batch_cost=0.5347, reader_cost=0.0001 | ETA 01:03:10 2020-12-17 05:02:39 [INFO] [TRAIN] epoch=197, iter=72920/80000, loss=0.1853, lr=0.001128, batch_cost=0.6259, reader_cost=0.0625 | ETA 01:13:51 2020-12-17 05:02:44 [INFO] [TRAIN] epoch=197, iter=72930/80000, loss=0.1999, lr=0.001127, batch_cost=0.5421, reader_cost=0.0002 | ETA 01:03:52 2020-12-17 05:02:50 [INFO] [TRAIN] epoch=197, iter=72940/80000, loss=0.1700, lr=0.001125, batch_cost=0.5609, reader_cost=0.0001 | ETA 01:05:59 2020-12-17 05:02:55 [INFO] [TRAIN] epoch=197, iter=72950/80000, loss=0.1386, lr=0.001124, batch_cost=0.5628, reader_cost=0.0001 | ETA 01:06:07 2020-12-17 05:03:01 [INFO] [TRAIN] epoch=197, iter=72960/80000, loss=0.1426, lr=0.001122, batch_cost=0.5281, reader_cost=0.0001 | ETA 01:01:57 2020-12-17 05:03:06 [INFO] [TRAIN] epoch=197, iter=72970/80000, loss=0.2047, lr=0.001121, batch_cost=0.5591, reader_cost=0.0001 | ETA 01:05:30 2020-12-17 05:03:12 [INFO] [TRAIN] epoch=197, iter=72980/80000, loss=0.1399, lr=0.001119, batch_cost=0.5364, reader_cost=0.0001 | ETA 01:02:45 2020-12-17 05:03:17 [INFO] [TRAIN] epoch=197, iter=72990/80000, loss=0.2121, lr=0.001118, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:02:48 2020-12-17 05:03:22 [INFO] [TRAIN] epoch=197, iter=73000/80000, loss=0.1856, lr=0.001117, batch_cost=0.5432, reader_cost=0.0001 | ETA 01:03:22 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:03:23 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 05:03:56 [INFO] [EVAL] #Images=500 mIoU=0.7853 Acc=0.9608 Kappa=0.9491 2020-12-17 05:03:56 [INFO] [EVAL] Class IoU: [0.983 0.8613 0.9226 0.5416 0.612 0.6041 0.7029 0.7812 0.9231 0.6475 0.9473 0.8141 0.6275 0.9508 0.8571 0.8916 0.8248 0.6584 0.7706] 2020-12-17 05:03:56 [INFO] [EVAL] Class Acc: [0.9929 0.924 0.9524 0.8781 0.7995 0.7741 0.8405 0.8994 0.9537 0.84 0.9701 0.882 0.7777 0.9744 0.9499 0.9441 0.9444 0.8233 0.8555] 2020-12-17 05:04:00 [INFO] [EVAL] The model with the best validation mIoU (0.7865) was saved at iter 64000. 2020-12-17 05:04:05 [INFO] [TRAIN] epoch=197, iter=73010/80000, loss=0.2107, lr=0.001115, batch_cost=0.5207, reader_cost=0.0001 | ETA 01:00:39 2020-12-17 05:04:10 [INFO] [TRAIN] epoch=197, iter=73020/80000, loss=0.2278, lr=0.001114, batch_cost=0.5275, reader_cost=0.0001 | ETA 01:01:21 2020-12-17 05:04:16 [INFO] [TRAIN] epoch=197, iter=73030/80000, loss=0.1408, lr=0.001112, batch_cost=0.5441, reader_cost=0.0003 | ETA 01:03:12 2020-12-17 05:04:21 [INFO] [TRAIN] epoch=197, iter=73040/80000, loss=0.1956, lr=0.001111, batch_cost=0.5347, reader_cost=0.0001 | ETA 01:02:01 2020-12-17 05:04:26 [INFO] [TRAIN] epoch=197, iter=73050/80000, loss=0.1433, lr=0.001109, batch_cost=0.5341, reader_cost=0.0001 | ETA 01:01:52 2020-12-17 05:04:32 [INFO] [TRAIN] epoch=197, iter=73060/80000, loss=0.1898, lr=0.001108, batch_cost=0.5575, reader_cost=0.0001 | ETA 01:04:28 2020-12-17 05:04:37 [INFO] [TRAIN] epoch=197, iter=73070/80000, loss=0.1814, lr=0.001106, batch_cost=0.5489, reader_cost=0.0001 | ETA 01:03:24 2020-12-17 05:04:43 [INFO] [TRAIN] epoch=197, iter=73080/80000, loss=0.1784, lr=0.001105, batch_cost=0.5438, reader_cost=0.0001 | ETA 01:02:43 2020-12-17 05:04:48 [INFO] [TRAIN] epoch=197, iter=73090/80000, loss=0.1616, lr=0.001104, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:02:04 2020-12-17 05:04:54 [INFO] [TRAIN] epoch=197, iter=73100/80000, loss=0.1832, lr=0.001102, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:01:56 2020-12-17 05:04:59 [INFO] [TRAIN] epoch=197, iter=73110/80000, loss=0.1865, lr=0.001101, batch_cost=0.5471, reader_cost=0.0001 | ETA 01:02:49 2020-12-17 05:05:04 [INFO] [TRAIN] epoch=197, iter=73120/80000, loss=0.1312, lr=0.001099, batch_cost=0.5340, reader_cost=0.0001 | ETA 01:01:14 2020-12-17 05:05:10 [INFO] [TRAIN] epoch=197, iter=73130/80000, loss=0.1969, lr=0.001098, batch_cost=0.5484, reader_cost=0.0002 | ETA 01:02:47 2020-12-17 05:05:15 [INFO] [TRAIN] epoch=197, iter=73140/80000, loss=0.2073, lr=0.001096, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:01:34 2020-12-17 05:05:21 [INFO] [TRAIN] epoch=197, iter=73150/80000, loss=0.1594, lr=0.001095, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:01:45 2020-12-17 05:05:26 [INFO] [TRAIN] epoch=197, iter=73160/80000, loss=0.1607, lr=0.001094, batch_cost=0.5303, reader_cost=0.0001 | ETA 01:00:27 2020-12-17 05:05:31 [INFO] [TRAIN] epoch=197, iter=73170/80000, loss=0.1816, lr=0.001092, batch_cost=0.5295, reader_cost=0.0001 | ETA 01:00:16 2020-12-17 05:05:37 [INFO] [TRAIN] epoch=197, iter=73180/80000, loss=0.1173, lr=0.001091, batch_cost=0.5458, reader_cost=0.0001 | ETA 01:02:02 2020-12-17 05:05:42 [INFO] [TRAIN] epoch=197, iter=73190/80000, loss=0.1577, lr=0.001089, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:01:22 2020-12-17 05:05:47 [INFO] [TRAIN] epoch=197, iter=73200/80000, loss=0.1844, lr=0.001088, batch_cost=0.5206, reader_cost=0.0001 | ETA 00:59:00 2020-12-17 05:05:53 [INFO] [TRAIN] epoch=197, iter=73210/80000, loss=0.1480, lr=0.001086, batch_cost=0.5474, reader_cost=0.0001 | ETA 01:01:56 2020-12-17 05:05:58 [INFO] [TRAIN] epoch=197, iter=73220/80000, loss=0.1293, lr=0.001085, batch_cost=0.5234, reader_cost=0.0001 | ETA 00:59:08 2020-12-17 05:06:03 [INFO] [TRAIN] epoch=197, iter=73230/80000, loss=0.1565, lr=0.001083, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:00:25 2020-12-17 05:06:09 [INFO] [TRAIN] epoch=197, iter=73240/80000, loss=0.1662, lr=0.001082, batch_cost=0.5237, reader_cost=0.0001 | ETA 00:59:00 2020-12-17 05:06:14 [INFO] [TRAIN] epoch=197, iter=73250/80000, loss=0.2205, lr=0.001081, batch_cost=0.5428, reader_cost=0.0002 | ETA 01:01:04 2020-12-17 05:06:20 [INFO] [TRAIN] epoch=197, iter=73260/80000, loss=0.1408, lr=0.001079, batch_cost=0.5554, reader_cost=0.0001 | ETA 01:02:23 2020-12-17 05:06:25 [INFO] [TRAIN] epoch=197, iter=73270/80000, loss=0.1587, lr=0.001078, batch_cost=0.5254, reader_cost=0.0001 | ETA 00:58:56 2020-12-17 05:06:30 [INFO] [TRAIN] epoch=197, iter=73280/80000, loss=0.1370, lr=0.001076, batch_cost=0.5537, reader_cost=0.0001 | ETA 01:02:01 2020-12-17 05:06:36 [INFO] [TRAIN] epoch=198, iter=73290/80000, loss=0.1175, lr=0.001075, batch_cost=0.5887, reader_cost=0.0555 | ETA 01:05:49 2020-12-17 05:06:42 [INFO] [TRAIN] epoch=198, iter=73300/80000, loss=0.1405, lr=0.001073, batch_cost=0.5487, reader_cost=0.0001 | ETA 01:01:16 2020-12-17 05:06:47 [INFO] [TRAIN] epoch=198, iter=73310/80000, loss=0.1788, lr=0.001072, batch_cost=0.5583, reader_cost=0.0001 | ETA 01:02:15 2020-12-17 05:06:53 [INFO] [TRAIN] epoch=198, iter=73320/80000, loss=0.1661, lr=0.001070, batch_cost=0.5313, reader_cost=0.0001 | ETA 00:59:09 2020-12-17 05:06:58 [INFO] [TRAIN] epoch=198, iter=73330/80000, loss=0.1232, lr=0.001069, batch_cost=0.5515, reader_cost=0.0001 | ETA 01:01:18 2020-12-17 05:07:04 [INFO] [TRAIN] epoch=198, iter=73340/80000, loss=0.1472, lr=0.001068, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:59:45 2020-12-17 05:07:09 [INFO] [TRAIN] epoch=198, iter=73350/80000, loss=0.1551, lr=0.001066, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:59:45 2020-12-17 05:07:15 [INFO] [TRAIN] epoch=198, iter=73360/80000, loss=0.1708, lr=0.001065, batch_cost=0.5458, reader_cost=0.0003 | ETA 01:00:24 2020-12-17 05:07:20 [INFO] [TRAIN] epoch=198, iter=73370/80000, loss=0.1453, lr=0.001063, batch_cost=0.5547, reader_cost=0.0002 | ETA 01:01:17 2020-12-17 05:07:25 [INFO] [TRAIN] epoch=198, iter=73380/80000, loss=0.1218, lr=0.001062, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:59:20 2020-12-17 05:07:31 [INFO] [TRAIN] epoch=198, iter=73390/80000, loss=0.1861, lr=0.001060, batch_cost=0.5356, reader_cost=0.0001 | ETA 00:59:00 2020-12-17 05:07:36 [INFO] [TRAIN] epoch=198, iter=73400/80000, loss=0.2055, lr=0.001059, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:59:07 2020-12-17 05:07:42 [INFO] [TRAIN] epoch=198, iter=73410/80000, loss=0.2352, lr=0.001057, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:59:04 2020-12-17 05:07:47 [INFO] [TRAIN] epoch=198, iter=73420/80000, loss=0.1621, lr=0.001056, batch_cost=0.5438, reader_cost=0.0001 | ETA 00:59:37 2020-12-17 05:07:52 [INFO] [TRAIN] epoch=198, iter=73430/80000, loss=0.1421, lr=0.001055, batch_cost=0.5492, reader_cost=0.0001 | ETA 01:00:08 2020-12-17 05:07:58 [INFO] [TRAIN] epoch=198, iter=73440/80000, loss=0.1628, lr=0.001053, batch_cost=0.5471, reader_cost=0.0001 | ETA 00:59:49 2020-12-17 05:08:03 [INFO] [TRAIN] epoch=198, iter=73450/80000, loss=0.1359, lr=0.001052, batch_cost=0.5534, reader_cost=0.0001 | ETA 01:00:24 2020-12-17 05:08:09 [INFO] [TRAIN] epoch=198, iter=73460/80000, loss=0.1146, lr=0.001050, batch_cost=0.5367, reader_cost=0.0002 | ETA 00:58:30 2020-12-17 05:08:14 [INFO] [TRAIN] epoch=198, iter=73470/80000, loss=0.1310, lr=0.001049, batch_cost=0.5429, reader_cost=0.0002 | ETA 00:59:05 2020-12-17 05:08:20 [INFO] [TRAIN] epoch=198, iter=73480/80000, loss=0.2294, lr=0.001047, batch_cost=0.5522, reader_cost=0.0001 | ETA 01:00:00 2020-12-17 05:08:25 [INFO] [TRAIN] epoch=198, iter=73490/80000, loss=0.2166, lr=0.001046, batch_cost=0.5383, reader_cost=0.0002 | ETA 00:58:24 2020-12-17 05:08:31 [INFO] [TRAIN] epoch=198, iter=73500/80000, loss=0.1344, lr=0.001044, batch_cost=0.5566, reader_cost=0.0002 | ETA 01:00:17 2020-12-17 05:08:36 [INFO] [TRAIN] epoch=198, iter=73510/80000, loss=0.1396, lr=0.001043, batch_cost=0.5471, reader_cost=0.0001 | ETA 00:59:10 2020-12-17 05:08:42 [INFO] [TRAIN] epoch=198, iter=73520/80000, loss=0.1614, lr=0.001042, batch_cost=0.5450, reader_cost=0.0007 | ETA 00:58:51 2020-12-17 05:08:47 [INFO] [TRAIN] epoch=198, iter=73530/80000, loss=0.1380, lr=0.001040, batch_cost=0.5373, reader_cost=0.0001 | ETA 00:57:56 2020-12-17 05:08:53 [INFO] [TRAIN] epoch=198, iter=73540/80000, loss=0.1703, lr=0.001039, batch_cost=0.5632, reader_cost=0.0001 | ETA 01:00:38 2020-12-17 05:08:58 [INFO] [TRAIN] epoch=198, iter=73550/80000, loss=0.1161, lr=0.001037, batch_cost=0.5540, reader_cost=0.0001 | ETA 00:59:33 2020-12-17 05:09:04 [INFO] [TRAIN] epoch=198, iter=73560/80000, loss=0.1789, lr=0.001036, batch_cost=0.5498, reader_cost=0.0012 | ETA 00:59:00 2020-12-17 05:09:09 [INFO] [TRAIN] epoch=198, iter=73570/80000, loss=0.1292, lr=0.001034, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:57:34 2020-12-17 05:09:15 [INFO] [TRAIN] epoch=198, iter=73580/80000, loss=0.1846, lr=0.001033, batch_cost=0.5450, reader_cost=0.0011 | ETA 00:58:19 2020-12-17 05:09:20 [INFO] [TRAIN] epoch=198, iter=73590/80000, loss=0.1739, lr=0.001031, batch_cost=0.5602, reader_cost=0.0002 | ETA 00:59:50 2020-12-17 05:09:25 [INFO] [TRAIN] epoch=198, iter=73600/80000, loss=0.1733, lr=0.001030, batch_cost=0.5309, reader_cost=0.0001 | ETA 00:56:37 2020-12-17 05:09:31 [INFO] [TRAIN] epoch=198, iter=73610/80000, loss=0.1268, lr=0.001029, batch_cost=0.5435, reader_cost=0.0014 | ETA 00:57:52 2020-12-17 05:09:36 [INFO] [TRAIN] epoch=198, iter=73620/80000, loss=0.1139, lr=0.001027, batch_cost=0.5469, reader_cost=0.0001 | ETA 00:58:09 2020-12-17 05:09:42 [INFO] [TRAIN] epoch=198, iter=73630/80000, loss=0.1663, lr=0.001026, batch_cost=0.5454, reader_cost=0.0001 | ETA 00:57:54 2020-12-17 05:09:47 [INFO] [TRAIN] epoch=198, iter=73640/80000, loss=0.1993, lr=0.001024, batch_cost=0.5561, reader_cost=0.0001 | ETA 00:58:56 2020-12-17 05:09:53 [INFO] [TRAIN] epoch=198, iter=73650/80000, loss=0.1360, lr=0.001023, batch_cost=0.5259, reader_cost=0.0002 | ETA 00:55:39 2020-12-17 05:09:59 [INFO] [TRAIN] epoch=199, iter=73660/80000, loss=0.1352, lr=0.001021, batch_cost=0.6019, reader_cost=0.0676 | ETA 01:03:36 2020-12-17 05:10:04 [INFO] [TRAIN] epoch=199, iter=73670/80000, loss=0.1486, lr=0.001020, batch_cost=0.5692, reader_cost=0.0001 | ETA 01:00:03 2020-12-17 05:10:10 [INFO] [TRAIN] epoch=199, iter=73680/80000, loss=0.2031, lr=0.001018, batch_cost=0.5548, reader_cost=0.0001 | ETA 00:58:26 2020-12-17 05:10:15 [INFO] [TRAIN] epoch=199, iter=73690/80000, loss=0.1213, lr=0.001017, batch_cost=0.5513, reader_cost=0.0001 | ETA 00:57:58 2020-12-17 05:10:21 [INFO] [TRAIN] epoch=199, iter=73700/80000, loss=0.1274, lr=0.001016, batch_cost=0.5504, reader_cost=0.0001 | ETA 00:57:47 2020-12-17 05:10:26 [INFO] [TRAIN] epoch=199, iter=73710/80000, loss=0.1962, lr=0.001014, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:56:34 2020-12-17 05:10:32 [INFO] [TRAIN] epoch=199, iter=73720/80000, loss=0.2340, lr=0.001013, batch_cost=0.5505, reader_cost=0.0001 | ETA 00:57:37 2020-12-17 05:10:37 [INFO] [TRAIN] epoch=199, iter=73730/80000, loss=0.1589, lr=0.001011, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:56:44 2020-12-17 05:10:43 [INFO] [TRAIN] epoch=199, iter=73740/80000, loss=0.1837, lr=0.001010, batch_cost=0.5477, reader_cost=0.0001 | ETA 00:57:08 2020-12-17 05:10:48 [INFO] [TRAIN] epoch=199, iter=73750/80000, loss=0.1630, lr=0.001008, batch_cost=0.5356, reader_cost=0.0002 | ETA 00:55:47 2020-12-17 05:10:53 [INFO] [TRAIN] epoch=199, iter=73760/80000, loss=0.1648, lr=0.001007, batch_cost=0.5300, reader_cost=0.0001 | ETA 00:55:07 2020-12-17 05:10:59 [INFO] [TRAIN] epoch=199, iter=73770/80000, loss=0.1478, lr=0.001005, batch_cost=0.5491, reader_cost=0.0001 | ETA 00:57:00 2020-12-17 05:11:04 [INFO] [TRAIN] epoch=199, iter=73780/80000, loss=0.1342, lr=0.001004, batch_cost=0.5462, reader_cost=0.0002 | ETA 00:56:37 2020-12-17 05:11:10 [INFO] [TRAIN] epoch=199, iter=73790/80000, loss=0.1447, lr=0.001002, batch_cost=0.5449, reader_cost=0.0001 | ETA 00:56:23 2020-12-17 05:11:15 [INFO] [TRAIN] epoch=199, iter=73800/80000, loss=0.1492, lr=0.001001, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:55:59 2020-12-17 05:11:21 [INFO] [TRAIN] epoch=199, iter=73810/80000, loss=0.1285, lr=0.001000, batch_cost=0.5425, reader_cost=0.0001 | ETA 00:55:58 2020-12-17 05:11:26 [INFO] [TRAIN] epoch=199, iter=73820/80000, loss=0.1783, lr=0.000998, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:55:32 2020-12-17 05:11:31 [INFO] [TRAIN] epoch=199, iter=73830/80000, loss=0.1869, lr=0.000997, batch_cost=0.5285, reader_cost=0.0001 | ETA 00:54:20 2020-12-17 05:11:37 [INFO] [TRAIN] epoch=199, iter=73840/80000, loss=0.1580, lr=0.000995, batch_cost=0.5528, reader_cost=0.0001 | ETA 00:56:45 2020-12-17 05:11:42 [INFO] [TRAIN] epoch=199, iter=73850/80000, loss=0.1495, lr=0.000994, batch_cost=0.5419, reader_cost=0.0002 | ETA 00:55:32 2020-12-17 05:11:48 [INFO] [TRAIN] epoch=199, iter=73860/80000, loss=0.1563, lr=0.000992, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:55:01 2020-12-17 05:11:53 [INFO] [TRAIN] epoch=199, iter=73870/80000, loss=0.1529, lr=0.000991, batch_cost=0.5566, reader_cost=0.0001 | ETA 00:56:51 2020-12-17 05:11:59 [INFO] [TRAIN] epoch=199, iter=73880/80000, loss=0.1876, lr=0.000989, batch_cost=0.5549, reader_cost=0.0001 | ETA 00:56:35 2020-12-17 05:12:04 [INFO] [TRAIN] epoch=199, iter=73890/80000, loss=0.1205, lr=0.000988, batch_cost=0.5625, reader_cost=0.0001 | ETA 00:57:16 2020-12-17 05:12:10 [INFO] [TRAIN] epoch=199, iter=73900/80000, loss=0.1420, lr=0.000986, batch_cost=0.5556, reader_cost=0.0001 | ETA 00:56:29 2020-12-17 05:12:15 [INFO] [TRAIN] epoch=199, iter=73910/80000, loss=0.1726, lr=0.000985, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:54:34 2020-12-17 05:12:21 [INFO] [TRAIN] epoch=199, iter=73920/80000, loss=0.1701, lr=0.000984, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:54:43 2020-12-17 05:12:26 [INFO] [TRAIN] epoch=199, iter=73930/80000, loss=0.1469, lr=0.000982, batch_cost=0.5283, reader_cost=0.0001 | ETA 00:53:26 2020-12-17 05:12:31 [INFO] [TRAIN] epoch=199, iter=73940/80000, loss=0.1330, lr=0.000981, batch_cost=0.5357, reader_cost=0.0003 | ETA 00:54:06 2020-12-17 05:12:37 [INFO] [TRAIN] epoch=199, iter=73950/80000, loss=0.1717, lr=0.000979, batch_cost=0.5436, reader_cost=0.0001 | ETA 00:54:49 2020-12-17 05:12:42 [INFO] [TRAIN] epoch=199, iter=73960/80000, loss=0.1492, lr=0.000978, batch_cost=0.5372, reader_cost=0.0003 | ETA 00:54:04 2020-12-17 05:12:48 [INFO] [TRAIN] epoch=199, iter=73970/80000, loss=0.2065, lr=0.000976, batch_cost=0.5336, reader_cost=0.0001 | ETA 00:53:37 2020-12-17 05:12:53 [INFO] [TRAIN] epoch=199, iter=73980/80000, loss=0.1636, lr=0.000975, batch_cost=0.5479, reader_cost=0.0010 | ETA 00:54:58 2020-12-17 05:12:58 [INFO] [TRAIN] epoch=199, iter=73990/80000, loss=0.1446, lr=0.000973, batch_cost=0.5474, reader_cost=0.0001 | ETA 00:54:49 2020-12-17 05:13:04 [INFO] [TRAIN] epoch=199, iter=74000/80000, loss=0.1442, lr=0.000972, batch_cost=0.5440, reader_cost=0.0001 | ETA 00:54:24 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:13:04 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 05:13:39 [INFO] [EVAL] #Images=500 mIoU=0.7888 Acc=0.9612 Kappa=0.9496 2020-12-17 05:13:39 [INFO] [EVAL] Class IoU: [0.9829 0.8603 0.9242 0.5784 0.6218 0.6039 0.7041 0.7824 0.9236 0.6465 0.9473 0.814 0.6289 0.9511 0.8534 0.8956 0.8311 0.6647 0.7724] 2020-12-17 05:13:39 [INFO] [EVAL] Class Acc: [0.9938 0.9136 0.9528 0.8442 0.8297 0.7833 0.8333 0.9036 0.9555 0.839 0.9694 0.8805 0.7896 0.9746 0.9512 0.9473 0.944 0.8425 0.861 ] 2020-12-17 05:13:45 [INFO] [EVAL] The model with the best validation mIoU (0.7888) was saved at iter 74000. 2020-12-17 05:13:50 [INFO] [TRAIN] epoch=199, iter=74010/80000, loss=0.1365, lr=0.000970, batch_cost=0.5154, reader_cost=0.0001 | ETA 00:51:27 2020-12-17 05:13:55 [INFO] [TRAIN] epoch=199, iter=74020/80000, loss=0.1312, lr=0.000969, batch_cost=0.5307, reader_cost=0.0001 | ETA 00:52:53 2020-12-17 05:14:01 [INFO] [TRAIN] epoch=200, iter=74030/80000, loss=0.1306, lr=0.000968, batch_cost=0.5797, reader_cost=0.0588 | ETA 00:57:40 2020-12-17 05:14:07 [INFO] [TRAIN] epoch=200, iter=74040/80000, loss=0.1625, lr=0.000966, batch_cost=0.5609, reader_cost=0.0060 | ETA 00:55:43 2020-12-17 05:14:12 [INFO] [TRAIN] epoch=200, iter=74050/80000, loss=0.1296, lr=0.000965, batch_cost=0.5575, reader_cost=0.0002 | ETA 00:55:17 2020-12-17 05:14:18 [INFO] [TRAIN] epoch=200, iter=74060/80000, loss=0.1756, lr=0.000963, batch_cost=0.5424, reader_cost=0.0005 | ETA 00:53:41 2020-12-17 05:14:23 [INFO] [TRAIN] epoch=200, iter=74070/80000, loss=0.1643, lr=0.000962, batch_cost=0.5534, reader_cost=0.0001 | ETA 00:54:41 2020-12-17 05:14:29 [INFO] [TRAIN] epoch=200, iter=74080/80000, loss=0.1308, lr=0.000960, batch_cost=0.5541, reader_cost=0.0001 | ETA 00:54:40 2020-12-17 05:14:34 [INFO] [TRAIN] epoch=200, iter=74090/80000, loss=0.1637, lr=0.000959, batch_cost=0.5525, reader_cost=0.0002 | ETA 00:54:25 2020-12-17 05:14:39 [INFO] [TRAIN] epoch=200, iter=74100/80000, loss=0.2069, lr=0.000957, batch_cost=0.5286, reader_cost=0.0001 | ETA 00:51:58 2020-12-17 05:14:45 [INFO] [TRAIN] epoch=200, iter=74110/80000, loss=0.1608, lr=0.000956, batch_cost=0.5663, reader_cost=0.0001 | ETA 00:55:35 2020-12-17 05:14:51 [INFO] [TRAIN] epoch=200, iter=74120/80000, loss=0.1673, lr=0.000954, batch_cost=0.5529, reader_cost=0.0001 | ETA 00:54:11 2020-12-17 05:14:56 [INFO] [TRAIN] epoch=200, iter=74130/80000, loss=0.1511, lr=0.000953, batch_cost=0.5537, reader_cost=0.0001 | ETA 00:54:10 2020-12-17 05:15:01 [INFO] [TRAIN] epoch=200, iter=74140/80000, loss=0.2325, lr=0.000951, batch_cost=0.5320, reader_cost=0.0001 | ETA 00:51:57 2020-12-17 05:15:07 [INFO] [TRAIN] epoch=200, iter=74150/80000, loss=0.1784, lr=0.000950, batch_cost=0.5560, reader_cost=0.0001 | ETA 00:54:12 2020-12-17 05:15:13 [INFO] [TRAIN] epoch=200, iter=74160/80000, loss=0.1379, lr=0.000949, batch_cost=0.5591, reader_cost=0.0001 | ETA 00:54:25 2020-12-17 05:15:18 [INFO] [TRAIN] epoch=200, iter=74170/80000, loss=0.1835, lr=0.000947, batch_cost=0.5484, reader_cost=0.0001 | ETA 00:53:17 2020-12-17 05:15:24 [INFO] [TRAIN] epoch=200, iter=74180/80000, loss=0.2003, lr=0.000946, batch_cost=0.5543, reader_cost=0.0002 | ETA 00:53:45 2020-12-17 05:15:29 [INFO] [TRAIN] epoch=200, iter=74190/80000, loss=0.1935, lr=0.000944, batch_cost=0.5591, reader_cost=0.0001 | ETA 00:54:08 2020-12-17 05:15:35 [INFO] [TRAIN] epoch=200, iter=74200/80000, loss=0.1500, lr=0.000943, batch_cost=0.5271, reader_cost=0.0001 | ETA 00:50:57 2020-12-17 05:15:40 [INFO] [TRAIN] epoch=200, iter=74210/80000, loss=0.1490, lr=0.000941, batch_cost=0.5436, reader_cost=0.0001 | ETA 00:52:27 2020-12-17 05:15:45 [INFO] [TRAIN] epoch=200, iter=74220/80000, loss=0.1294, lr=0.000940, batch_cost=0.5443, reader_cost=0.0001 | ETA 00:52:26 2020-12-17 05:15:51 [INFO] [TRAIN] epoch=200, iter=74230/80000, loss=0.1947, lr=0.000938, batch_cost=0.5456, reader_cost=0.0001 | ETA 00:52:27 2020-12-17 05:15:56 [INFO] [TRAIN] epoch=200, iter=74240/80000, loss=0.1394, lr=0.000937, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:51:29 2020-12-17 05:16:02 [INFO] [TRAIN] epoch=200, iter=74250/80000, loss=0.1456, lr=0.000935, batch_cost=0.5454, reader_cost=0.0001 | ETA 00:52:15 2020-12-17 05:16:07 [INFO] [TRAIN] epoch=200, iter=74260/80000, loss=0.1482, lr=0.000934, batch_cost=0.5496, reader_cost=0.0001 | ETA 00:52:34 2020-12-17 05:16:13 [INFO] [TRAIN] epoch=200, iter=74270/80000, loss=0.1552, lr=0.000932, batch_cost=0.5474, reader_cost=0.0001 | ETA 00:52:16 2020-12-17 05:16:18 [INFO] [TRAIN] epoch=200, iter=74280/80000, loss=0.1337, lr=0.000931, batch_cost=0.5503, reader_cost=0.0001 | ETA 00:52:27 2020-12-17 05:16:24 [INFO] [TRAIN] epoch=200, iter=74290/80000, loss=0.1384, lr=0.000930, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:51:21 2020-12-17 05:16:29 [INFO] [TRAIN] epoch=200, iter=74300/80000, loss=0.1428, lr=0.000928, batch_cost=0.5377, reader_cost=0.0002 | ETA 00:51:04 2020-12-17 05:16:34 [INFO] [TRAIN] epoch=200, iter=74310/80000, loss=0.1757, lr=0.000927, batch_cost=0.5542, reader_cost=0.0001 | ETA 00:52:33 2020-12-17 05:16:40 [INFO] [TRAIN] epoch=200, iter=74320/80000, loss=0.1371, lr=0.000925, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:51:05 2020-12-17 05:16:45 [INFO] [TRAIN] epoch=200, iter=74330/80000, loss=0.2406, lr=0.000924, batch_cost=0.5484, reader_cost=0.0001 | ETA 00:51:49 2020-12-17 05:16:51 [INFO] [TRAIN] epoch=200, iter=74340/80000, loss=0.1645, lr=0.000922, batch_cost=0.5505, reader_cost=0.0001 | ETA 00:51:55 2020-12-17 05:16:56 [INFO] [TRAIN] epoch=200, iter=74350/80000, loss=0.1401, lr=0.000921, batch_cost=0.5476, reader_cost=0.0002 | ETA 00:51:34 2020-12-17 05:17:02 [INFO] [TRAIN] epoch=200, iter=74360/80000, loss=0.1806, lr=0.000919, batch_cost=0.5416, reader_cost=0.0002 | ETA 00:50:54 2020-12-17 05:17:07 [INFO] [TRAIN] epoch=200, iter=74370/80000, loss=0.1420, lr=0.000918, batch_cost=0.5605, reader_cost=0.0001 | ETA 00:52:35 2020-12-17 05:17:13 [INFO] [TRAIN] epoch=200, iter=74380/80000, loss=0.1899, lr=0.000916, batch_cost=0.5346, reader_cost=0.0001 | ETA 00:50:04 2020-12-17 05:17:18 [INFO] [TRAIN] epoch=200, iter=74390/80000, loss=0.2148, lr=0.000915, batch_cost=0.5451, reader_cost=0.0001 | ETA 00:50:58 2020-12-17 05:17:23 [INFO] [TRAIN] epoch=200, iter=74400/80000, loss=0.1827, lr=0.000913, batch_cost=0.5073, reader_cost=0.0001 | ETA 00:47:21 2020-12-17 05:17:30 [INFO] [TRAIN] epoch=201, iter=74410/80000, loss=0.1648, lr=0.000912, batch_cost=0.6569, reader_cost=0.0672 | ETA 01:01:12 2020-12-17 05:17:35 [INFO] [TRAIN] epoch=201, iter=74420/80000, loss=0.1552, lr=0.000910, batch_cost=0.5564, reader_cost=0.0001 | ETA 00:51:44 2020-12-17 05:17:41 [INFO] [TRAIN] epoch=201, iter=74430/80000, loss=0.1584, lr=0.000909, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:50:18 2020-12-17 05:17:46 [INFO] [TRAIN] epoch=201, iter=74440/80000, loss=0.1616, lr=0.000908, batch_cost=0.5483, reader_cost=0.0001 | ETA 00:50:48 2020-12-17 05:17:52 [INFO] [TRAIN] epoch=201, iter=74450/80000, loss=0.1950, lr=0.000906, batch_cost=0.5443, reader_cost=0.0001 | ETA 00:50:21 2020-12-17 05:17:57 [INFO] [TRAIN] epoch=201, iter=74460/80000, loss=0.1844, lr=0.000905, batch_cost=0.5504, reader_cost=0.0001 | ETA 00:50:49 2020-12-17 05:18:03 [INFO] [TRAIN] epoch=201, iter=74470/80000, loss=0.2142, lr=0.000903, batch_cost=0.5358, reader_cost=0.0001 | ETA 00:49:22 2020-12-17 05:18:08 [INFO] [TRAIN] epoch=201, iter=74480/80000, loss=0.1716, lr=0.000902, batch_cost=0.5328, reader_cost=0.0001 | ETA 00:49:01 2020-12-17 05:18:13 [INFO] [TRAIN] epoch=201, iter=74490/80000, loss=0.1581, lr=0.000900, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:49:51 2020-12-17 05:18:19 [INFO] [TRAIN] epoch=201, iter=74500/80000, loss=0.1171, lr=0.000899, batch_cost=0.5465, reader_cost=0.0001 | ETA 00:50:05 2020-12-17 05:18:24 [INFO] [TRAIN] epoch=201, iter=74510/80000, loss=0.1834, lr=0.000897, batch_cost=0.5441, reader_cost=0.0001 | ETA 00:49:47 2020-12-17 05:18:30 [INFO] [TRAIN] epoch=201, iter=74520/80000, loss=0.1734, lr=0.000896, batch_cost=0.5483, reader_cost=0.0001 | ETA 00:50:04 2020-12-17 05:18:35 [INFO] [TRAIN] epoch=201, iter=74530/80000, loss=0.1601, lr=0.000894, batch_cost=0.5443, reader_cost=0.0001 | ETA 00:49:37 2020-12-17 05:18:41 [INFO] [TRAIN] epoch=201, iter=74540/80000, loss=0.1408, lr=0.000893, batch_cost=0.5481, reader_cost=0.0001 | ETA 00:49:52 2020-12-17 05:18:46 [INFO] [TRAIN] epoch=201, iter=74550/80000, loss=0.1673, lr=0.000891, batch_cost=0.5473, reader_cost=0.0001 | ETA 00:49:42 2020-12-17 05:18:52 [INFO] [TRAIN] epoch=201, iter=74560/80000, loss=0.1644, lr=0.000890, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:49:02 2020-12-17 05:18:57 [INFO] [TRAIN] epoch=201, iter=74570/80000, loss=0.1262, lr=0.000888, batch_cost=0.5523, reader_cost=0.0001 | ETA 00:49:58 2020-12-17 05:19:02 [INFO] [TRAIN] epoch=201, iter=74580/80000, loss=0.2519, lr=0.000887, batch_cost=0.5355, reader_cost=0.0001 | ETA 00:48:22 2020-12-17 05:19:08 [INFO] [TRAIN] epoch=201, iter=74590/80000, loss=0.2130, lr=0.000885, batch_cost=0.5311, reader_cost=0.0001 | ETA 00:47:53 2020-12-17 05:19:13 [INFO] [TRAIN] epoch=201, iter=74600/80000, loss=0.1419, lr=0.000884, batch_cost=0.5663, reader_cost=0.0002 | ETA 00:50:58 2020-12-17 05:19:19 [INFO] [TRAIN] epoch=201, iter=74610/80000, loss=0.2344, lr=0.000883, batch_cost=0.5449, reader_cost=0.0001 | ETA 00:48:56 2020-12-17 05:19:24 [INFO] [TRAIN] epoch=201, iter=74620/80000, loss=0.1742, lr=0.000881, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:48:25 2020-12-17 05:19:30 [INFO] [TRAIN] epoch=201, iter=74630/80000, loss=0.1265, lr=0.000880, batch_cost=0.5474, reader_cost=0.0001 | ETA 00:48:59 2020-12-17 05:19:35 [INFO] [TRAIN] epoch=201, iter=74640/80000, loss=0.1425, lr=0.000878, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:48:09 2020-12-17 05:19:41 [INFO] [TRAIN] epoch=201, iter=74650/80000, loss=0.1742, lr=0.000877, batch_cost=0.5686, reader_cost=0.0001 | ETA 00:50:42 2020-12-17 05:19:46 [INFO] [TRAIN] epoch=201, iter=74660/80000, loss=0.1409, lr=0.000875, batch_cost=0.5330, reader_cost=0.0001 | ETA 00:47:26 2020-12-17 05:19:52 [INFO] [TRAIN] epoch=201, iter=74670/80000, loss=0.1041, lr=0.000874, batch_cost=0.5367, reader_cost=0.0011 | ETA 00:47:40 2020-12-17 05:19:57 [INFO] [TRAIN] epoch=201, iter=74680/80000, loss=0.1934, lr=0.000872, batch_cost=0.5365, reader_cost=0.0003 | ETA 00:47:34 2020-12-17 05:20:02 [INFO] [TRAIN] epoch=201, iter=74690/80000, loss=0.1532, lr=0.000871, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:47:59 2020-12-17 05:20:08 [INFO] [TRAIN] epoch=201, iter=74700/80000, loss=0.1606, lr=0.000869, batch_cost=0.5327, reader_cost=0.0001 | ETA 00:47:03 2020-12-17 05:20:13 [INFO] [TRAIN] epoch=201, iter=74710/80000, loss=0.1659, lr=0.000868, batch_cost=0.5295, reader_cost=0.0001 | ETA 00:46:40 2020-12-17 05:20:18 [INFO] [TRAIN] epoch=201, iter=74720/80000, loss=0.1326, lr=0.000866, batch_cost=0.5355, reader_cost=0.0001 | ETA 00:47:07 2020-12-17 05:20:24 [INFO] [TRAIN] epoch=201, iter=74730/80000, loss=0.1463, lr=0.000865, batch_cost=0.5468, reader_cost=0.0003 | ETA 00:48:01 2020-12-17 05:20:29 [INFO] [TRAIN] epoch=201, iter=74740/80000, loss=0.1774, lr=0.000863, batch_cost=0.5301, reader_cost=0.0001 | ETA 00:46:28 2020-12-17 05:20:35 [INFO] [TRAIN] epoch=201, iter=74750/80000, loss=0.1906, lr=0.000862, batch_cost=0.5479, reader_cost=0.0001 | ETA 00:47:56 2020-12-17 05:20:40 [INFO] [TRAIN] epoch=201, iter=74760/80000, loss=0.1608, lr=0.000860, batch_cost=0.5389, reader_cost=0.0002 | ETA 00:47:03 2020-12-17 05:20:45 [INFO] [TRAIN] epoch=201, iter=74770/80000, loss=0.1526, lr=0.000859, batch_cost=0.5187, reader_cost=0.0003 | ETA 00:45:12 2020-12-17 05:20:51 [INFO] [TRAIN] epoch=202, iter=74780/80000, loss=0.1512, lr=0.000857, batch_cost=0.6357, reader_cost=0.0882 | ETA 00:55:18 2020-12-17 05:20:57 [INFO] [TRAIN] epoch=202, iter=74790/80000, loss=0.1631, lr=0.000856, batch_cost=0.5579, reader_cost=0.0001 | ETA 00:48:26 2020-12-17 05:21:03 [INFO] [TRAIN] epoch=202, iter=74800/80000, loss=0.1373, lr=0.000854, batch_cost=0.5560, reader_cost=0.0001 | ETA 00:48:11 2020-12-17 05:21:08 [INFO] [TRAIN] epoch=202, iter=74810/80000, loss=0.1297, lr=0.000853, batch_cost=0.5502, reader_cost=0.0001 | ETA 00:47:35 2020-12-17 05:21:13 [INFO] [TRAIN] epoch=202, iter=74820/80000, loss=0.1688, lr=0.000852, batch_cost=0.5366, reader_cost=0.0001 | ETA 00:46:19 2020-12-17 05:21:19 [INFO] [TRAIN] epoch=202, iter=74830/80000, loss=0.1712, lr=0.000850, batch_cost=0.5320, reader_cost=0.0002 | ETA 00:45:50 2020-12-17 05:21:24 [INFO] [TRAIN] epoch=202, iter=74840/80000, loss=0.1515, lr=0.000849, batch_cost=0.5474, reader_cost=0.0001 | ETA 00:47:04 2020-12-17 05:21:30 [INFO] [TRAIN] epoch=202, iter=74850/80000, loss=0.1612, lr=0.000847, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:46:12 2020-12-17 05:21:35 [INFO] [TRAIN] epoch=202, iter=74860/80000, loss=0.1321, lr=0.000846, batch_cost=0.5500, reader_cost=0.0001 | ETA 00:47:06 2020-12-17 05:21:41 [INFO] [TRAIN] epoch=202, iter=74870/80000, loss=0.1876, lr=0.000844, batch_cost=0.5460, reader_cost=0.0001 | ETA 00:46:40 2020-12-17 05:21:46 [INFO] [TRAIN] epoch=202, iter=74880/80000, loss=0.1697, lr=0.000843, batch_cost=0.5337, reader_cost=0.0001 | ETA 00:45:32 2020-12-17 05:21:51 [INFO] [TRAIN] epoch=202, iter=74890/80000, loss=0.1281, lr=0.000841, batch_cost=0.5415, reader_cost=0.0002 | ETA 00:46:07 2020-12-17 05:21:57 [INFO] [TRAIN] epoch=202, iter=74900/80000, loss=0.2147, lr=0.000840, batch_cost=0.5504, reader_cost=0.0001 | ETA 00:46:47 2020-12-17 05:22:02 [INFO] [TRAIN] epoch=202, iter=74910/80000, loss=0.1277, lr=0.000838, batch_cost=0.5473, reader_cost=0.0001 | ETA 00:46:25 2020-12-17 05:22:08 [INFO] [TRAIN] epoch=202, iter=74920/80000, loss=0.1821, lr=0.000837, batch_cost=0.5384, reader_cost=0.0002 | ETA 00:45:34 2020-12-17 05:22:13 [INFO] [TRAIN] epoch=202, iter=74930/80000, loss=0.1551, lr=0.000835, batch_cost=0.5473, reader_cost=0.0001 | ETA 00:46:14 2020-12-17 05:22:18 [INFO] [TRAIN] epoch=202, iter=74940/80000, loss=0.1614, lr=0.000834, batch_cost=0.5235, reader_cost=0.0002 | ETA 00:44:08 2020-12-17 05:22:24 [INFO] [TRAIN] epoch=202, iter=74950/80000, loss=0.1564, lr=0.000832, batch_cost=0.5520, reader_cost=0.0001 | ETA 00:46:27 2020-12-17 05:22:29 [INFO] [TRAIN] epoch=202, iter=74960/80000, loss=0.1928, lr=0.000831, batch_cost=0.5515, reader_cost=0.0001 | ETA 00:46:19 2020-12-17 05:22:35 [INFO] [TRAIN] epoch=202, iter=74970/80000, loss=0.1649, lr=0.000829, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:45:22 2020-12-17 05:22:40 [INFO] [TRAIN] epoch=202, iter=74980/80000, loss=0.2344, lr=0.000828, batch_cost=0.5545, reader_cost=0.0001 | ETA 00:46:23 2020-12-17 05:22:46 [INFO] [TRAIN] epoch=202, iter=74990/80000, loss=0.1398, lr=0.000826, batch_cost=0.5461, reader_cost=0.0001 | ETA 00:45:35 2020-12-17 05:22:51 [INFO] [TRAIN] epoch=202, iter=75000/80000, loss=0.1338, lr=0.000825, batch_cost=0.5477, reader_cost=0.0001 | ETA 00:45:38 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:22:51 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 05:23:25 [INFO] [EVAL] #Images=500 mIoU=0.7867 Acc=0.9610 Kappa=0.9494 2020-12-17 05:23:25 [INFO] [EVAL] Class IoU: [0.9833 0.8621 0.9224 0.5591 0.616 0.5958 0.7044 0.7825 0.9234 0.6515 0.9477 0.8141 0.6206 0.9508 0.8562 0.8928 0.8255 0.6656 0.7726] 2020-12-17 05:23:25 [INFO] [EVAL] Class Acc: [0.992 0.9281 0.9481 0.8563 0.8302 0.7985 0.8301 0.9057 0.9578 0.8158 0.9703 0.8829 0.8005 0.9752 0.9516 0.942 0.9399 0.8443 0.8544] 2020-12-17 05:23:29 [INFO] [EVAL] The model with the best validation mIoU (0.7888) was saved at iter 74000. 2020-12-17 05:23:34 [INFO] [TRAIN] epoch=202, iter=75010/80000, loss=0.1554, lr=0.000823, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:44:36 2020-12-17 05:23:40 [INFO] [TRAIN] epoch=202, iter=75020/80000, loss=0.1200, lr=0.000822, batch_cost=0.5377, reader_cost=0.0002 | ETA 00:44:37 2020-12-17 05:23:45 [INFO] [TRAIN] epoch=202, iter=75030/80000, loss=0.1953, lr=0.000820, batch_cost=0.5501, reader_cost=0.0001 | ETA 00:45:34 2020-12-17 05:23:51 [INFO] [TRAIN] epoch=202, iter=75040/80000, loss=0.2201, lr=0.000819, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:44:47 2020-12-17 05:23:56 [INFO] [TRAIN] epoch=202, iter=75050/80000, loss=0.1486, lr=0.000817, batch_cost=0.5505, reader_cost=0.0002 | ETA 00:45:25 2020-12-17 05:24:02 [INFO] [TRAIN] epoch=202, iter=75060/80000, loss=0.1850, lr=0.000816, batch_cost=0.5477, reader_cost=0.0001 | ETA 00:45:05 2020-12-17 05:24:07 [INFO] [TRAIN] epoch=202, iter=75070/80000, loss=0.1591, lr=0.000814, batch_cost=0.5454, reader_cost=0.0001 | ETA 00:44:49 2020-12-17 05:24:13 [INFO] [TRAIN] epoch=202, iter=75080/80000, loss=0.1634, lr=0.000813, batch_cost=0.5437, reader_cost=0.0002 | ETA 00:44:35 2020-12-17 05:24:18 [INFO] [TRAIN] epoch=202, iter=75090/80000, loss=0.1711, lr=0.000811, batch_cost=0.5507, reader_cost=0.0001 | ETA 00:45:04 2020-12-17 05:24:23 [INFO] [TRAIN] epoch=202, iter=75100/80000, loss=0.1623, lr=0.000810, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:44:07 2020-12-17 05:24:29 [INFO] [TRAIN] epoch=202, iter=75110/80000, loss=0.1461, lr=0.000808, batch_cost=0.5547, reader_cost=0.0001 | ETA 00:45:12 2020-12-17 05:24:34 [INFO] [TRAIN] epoch=202, iter=75120/80000, loss=0.1826, lr=0.000807, batch_cost=0.5436, reader_cost=0.0001 | ETA 00:44:12 2020-12-17 05:24:40 [INFO] [TRAIN] epoch=202, iter=75130/80000, loss=0.1213, lr=0.000806, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:43:42 2020-12-17 05:24:45 [INFO] [TRAIN] epoch=202, iter=75140/80000, loss=0.1353, lr=0.000804, batch_cost=0.5339, reader_cost=0.0001 | ETA 00:43:14 2020-12-17 05:24:51 [INFO] [TRAIN] epoch=203, iter=75150/80000, loss=0.1888, lr=0.000803, batch_cost=0.6006, reader_cost=0.0714 | ETA 00:48:32 2020-12-17 05:24:57 [INFO] [TRAIN] epoch=203, iter=75160/80000, loss=0.1951, lr=0.000801, batch_cost=0.5781, reader_cost=0.0001 | ETA 00:46:37 2020-12-17 05:25:03 [INFO] [TRAIN] epoch=203, iter=75170/80000, loss=0.1716, lr=0.000800, batch_cost=0.5654, reader_cost=0.0001 | ETA 00:45:30 2020-12-17 05:25:08 [INFO] [TRAIN] epoch=203, iter=75180/80000, loss=0.1600, lr=0.000798, batch_cost=0.5481, reader_cost=0.0001 | ETA 00:44:01 2020-12-17 05:25:14 [INFO] [TRAIN] epoch=203, iter=75190/80000, loss=0.1806, lr=0.000797, batch_cost=0.5470, reader_cost=0.0001 | ETA 00:43:51 2020-12-17 05:25:19 [INFO] [TRAIN] epoch=203, iter=75200/80000, loss=0.1352, lr=0.000795, batch_cost=0.5540, reader_cost=0.0002 | ETA 00:44:18 2020-12-17 05:25:24 [INFO] [TRAIN] epoch=203, iter=75210/80000, loss=0.1125, lr=0.000794, batch_cost=0.5317, reader_cost=0.0001 | ETA 00:42:26 2020-12-17 05:25:30 [INFO] [TRAIN] epoch=203, iter=75220/80000, loss=0.1566, lr=0.000792, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:42:57 2020-12-17 05:25:35 [INFO] [TRAIN] epoch=203, iter=75230/80000, loss=0.1726, lr=0.000791, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:42:47 2020-12-17 05:25:41 [INFO] [TRAIN] epoch=203, iter=75240/80000, loss=0.1498, lr=0.000789, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:42:23 2020-12-17 05:25:46 [INFO] [TRAIN] epoch=203, iter=75250/80000, loss=0.1484, lr=0.000788, batch_cost=0.5458, reader_cost=0.0002 | ETA 00:43:12 2020-12-17 05:25:51 [INFO] [TRAIN] epoch=203, iter=75260/80000, loss=0.1387, lr=0.000786, batch_cost=0.5392, reader_cost=0.0002 | ETA 00:42:35 2020-12-17 05:25:57 [INFO] [TRAIN] epoch=203, iter=75270/80000, loss=0.1622, lr=0.000785, batch_cost=0.5271, reader_cost=0.0001 | ETA 00:41:33 2020-12-17 05:26:02 [INFO] [TRAIN] epoch=203, iter=75280/80000, loss=0.1747, lr=0.000783, batch_cost=0.5482, reader_cost=0.0001 | ETA 00:43:07 2020-12-17 05:26:08 [INFO] [TRAIN] epoch=203, iter=75290/80000, loss=0.1417, lr=0.000782, batch_cost=0.5449, reader_cost=0.0003 | ETA 00:42:46 2020-12-17 05:26:13 [INFO] [TRAIN] epoch=203, iter=75300/80000, loss=0.1475, lr=0.000780, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:42:18 2020-12-17 05:26:18 [INFO] [TRAIN] epoch=203, iter=75310/80000, loss=0.2012, lr=0.000779, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:42:13 2020-12-17 05:26:24 [INFO] [TRAIN] epoch=203, iter=75320/80000, loss=0.1340, lr=0.000777, batch_cost=0.5296, reader_cost=0.0001 | ETA 00:41:18 2020-12-17 05:26:29 [INFO] [TRAIN] epoch=203, iter=75330/80000, loss=0.1819, lr=0.000776, batch_cost=0.5472, reader_cost=0.0001 | ETA 00:42:35 2020-12-17 05:26:35 [INFO] [TRAIN] epoch=203, iter=75340/80000, loss=0.1355, lr=0.000774, batch_cost=0.5557, reader_cost=0.0001 | ETA 00:43:09 2020-12-17 05:26:40 [INFO] [TRAIN] epoch=203, iter=75350/80000, loss=0.1688, lr=0.000773, batch_cost=0.5345, reader_cost=0.0003 | ETA 00:41:25 2020-12-17 05:26:45 [INFO] [TRAIN] epoch=203, iter=75360/80000, loss=0.1416, lr=0.000771, batch_cost=0.5426, reader_cost=0.0001 | ETA 00:41:57 2020-12-17 05:26:51 [INFO] [TRAIN] epoch=203, iter=75370/80000, loss=0.1708, lr=0.000770, batch_cost=0.5468, reader_cost=0.0001 | ETA 00:42:11 2020-12-17 05:26:57 [INFO] [TRAIN] epoch=203, iter=75380/80000, loss=0.1444, lr=0.000768, batch_cost=0.5571, reader_cost=0.0002 | ETA 00:42:53 2020-12-17 05:27:02 [INFO] [TRAIN] epoch=203, iter=75390/80000, loss=0.1472, lr=0.000767, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:41:34 2020-12-17 05:27:07 [INFO] [TRAIN] epoch=203, iter=75400/80000, loss=0.2092, lr=0.000765, batch_cost=0.5482, reader_cost=0.0001 | ETA 00:42:01 2020-12-17 05:27:13 [INFO] [TRAIN] epoch=203, iter=75410/80000, loss=0.1869, lr=0.000764, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:41:23 2020-12-17 05:27:18 [INFO] [TRAIN] epoch=203, iter=75420/80000, loss=0.1945, lr=0.000762, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:41:25 2020-12-17 05:27:24 [INFO] [TRAIN] epoch=203, iter=75430/80000, loss=0.1153, lr=0.000761, batch_cost=0.5458, reader_cost=0.0002 | ETA 00:41:34 2020-12-17 05:27:29 [INFO] [TRAIN] epoch=203, iter=75440/80000, loss=0.1408, lr=0.000759, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:41:11 2020-12-17 05:27:35 [INFO] [TRAIN] epoch=203, iter=75450/80000, loss=0.1626, lr=0.000758, batch_cost=0.5422, reader_cost=0.0001 | ETA 00:41:06 2020-12-17 05:27:40 [INFO] [TRAIN] epoch=203, iter=75460/80000, loss=0.1787, lr=0.000756, batch_cost=0.5441, reader_cost=0.0001 | ETA 00:41:10 2020-12-17 05:27:45 [INFO] [TRAIN] epoch=203, iter=75470/80000, loss=0.1562, lr=0.000755, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:40:54 2020-12-17 05:27:51 [INFO] [TRAIN] epoch=203, iter=75480/80000, loss=0.1270, lr=0.000753, batch_cost=0.5373, reader_cost=0.0002 | ETA 00:40:28 2020-12-17 05:27:56 [INFO] [TRAIN] epoch=203, iter=75490/80000, loss=0.1467, lr=0.000752, batch_cost=0.5460, reader_cost=0.0002 | ETA 00:41:02 2020-12-17 05:28:02 [INFO] [TRAIN] epoch=203, iter=75500/80000, loss=0.1971, lr=0.000750, batch_cost=0.5396, reader_cost=0.0002 | ETA 00:40:28 2020-12-17 05:28:07 [INFO] [TRAIN] epoch=203, iter=75510/80000, loss=0.1517, lr=0.000749, batch_cost=0.5457, reader_cost=0.0001 | ETA 00:40:50 2020-12-17 05:28:13 [INFO] [TRAIN] epoch=204, iter=75520/80000, loss=0.1577, lr=0.000747, batch_cost=0.5769, reader_cost=0.0597 | ETA 00:43:04 2020-12-17 05:28:19 [INFO] [TRAIN] epoch=204, iter=75530/80000, loss=0.1481, lr=0.000746, batch_cost=0.5659, reader_cost=0.0002 | ETA 00:42:09 2020-12-17 05:28:24 [INFO] [TRAIN] epoch=204, iter=75540/80000, loss=0.1328, lr=0.000744, batch_cost=0.5769, reader_cost=0.0001 | ETA 00:42:52 2020-12-17 05:28:30 [INFO] [TRAIN] epoch=204, iter=75550/80000, loss=0.1488, lr=0.000743, batch_cost=0.5453, reader_cost=0.0001 | ETA 00:40:26 2020-12-17 05:28:35 [INFO] [TRAIN] epoch=204, iter=75560/80000, loss=0.1461, lr=0.000741, batch_cost=0.5637, reader_cost=0.0001 | ETA 00:41:42 2020-12-17 05:28:41 [INFO] [TRAIN] epoch=204, iter=75570/80000, loss=0.1762, lr=0.000740, batch_cost=0.5496, reader_cost=0.0010 | ETA 00:40:34 2020-12-17 05:28:46 [INFO] [TRAIN] epoch=204, iter=75580/80000, loss=0.1459, lr=0.000738, batch_cost=0.5488, reader_cost=0.0001 | ETA 00:40:25 2020-12-17 05:28:52 [INFO] [TRAIN] epoch=204, iter=75590/80000, loss=0.2080, lr=0.000737, batch_cost=0.5357, reader_cost=0.0001 | ETA 00:39:22 2020-12-17 05:28:57 [INFO] [TRAIN] epoch=204, iter=75600/80000, loss=0.1512, lr=0.000735, batch_cost=0.5472, reader_cost=0.0001 | ETA 00:40:07 2020-12-17 05:29:03 [INFO] [TRAIN] epoch=204, iter=75610/80000, loss=0.1516, lr=0.000734, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:39:17 2020-12-17 05:29:08 [INFO] [TRAIN] epoch=204, iter=75620/80000, loss=0.1536, lr=0.000732, batch_cost=0.5413, reader_cost=0.0004 | ETA 00:39:30 2020-12-17 05:29:13 [INFO] [TRAIN] epoch=204, iter=75630/80000, loss=0.2106, lr=0.000731, batch_cost=0.5417, reader_cost=0.0004 | ETA 00:39:27 2020-12-17 05:29:19 [INFO] [TRAIN] epoch=204, iter=75640/80000, loss=0.1625, lr=0.000729, batch_cost=0.5659, reader_cost=0.0003 | ETA 00:41:07 2020-12-17 05:29:25 [INFO] [TRAIN] epoch=204, iter=75650/80000, loss=0.1521, lr=0.000728, batch_cost=0.5522, reader_cost=0.0001 | ETA 00:40:02 2020-12-17 05:29:30 [INFO] [TRAIN] epoch=204, iter=75660/80000, loss=0.1334, lr=0.000726, batch_cost=0.5533, reader_cost=0.0001 | ETA 00:40:01 2020-12-17 05:29:35 [INFO] [TRAIN] epoch=204, iter=75670/80000, loss=0.2142, lr=0.000725, batch_cost=0.5300, reader_cost=0.0001 | ETA 00:38:15 2020-12-17 05:29:41 [INFO] [TRAIN] epoch=204, iter=75680/80000, loss=0.1928, lr=0.000723, batch_cost=0.5555, reader_cost=0.0001 | ETA 00:39:59 2020-12-17 05:29:46 [INFO] [TRAIN] epoch=204, iter=75690/80000, loss=0.1419, lr=0.000722, batch_cost=0.5490, reader_cost=0.0001 | ETA 00:39:26 2020-12-17 05:29:52 [INFO] [TRAIN] epoch=204, iter=75700/80000, loss=0.1561, lr=0.000720, batch_cost=0.5352, reader_cost=0.0001 | ETA 00:38:21 2020-12-17 05:29:57 [INFO] [TRAIN] epoch=204, iter=75710/80000, loss=0.1062, lr=0.000719, batch_cost=0.5534, reader_cost=0.0001 | ETA 00:39:34 2020-12-17 05:30:03 [INFO] [TRAIN] epoch=204, iter=75720/80000, loss=0.1501, lr=0.000717, batch_cost=0.5354, reader_cost=0.0001 | ETA 00:38:11 2020-12-17 05:30:08 [INFO] [TRAIN] epoch=204, iter=75730/80000, loss=0.1949, lr=0.000716, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:38:23 2020-12-17 05:30:14 [INFO] [TRAIN] epoch=204, iter=75740/80000, loss=0.1802, lr=0.000714, batch_cost=0.5535, reader_cost=0.0001 | ETA 00:39:17 2020-12-17 05:30:19 [INFO] [TRAIN] epoch=204, iter=75750/80000, loss=0.1595, lr=0.000713, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:38:12 2020-12-17 05:30:25 [INFO] [TRAIN] epoch=204, iter=75760/80000, loss=0.1393, lr=0.000711, batch_cost=0.5454, reader_cost=0.0001 | ETA 00:38:32 2020-12-17 05:30:30 [INFO] [TRAIN] epoch=204, iter=75770/80000, loss=0.1139, lr=0.000710, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:38:01 2020-12-17 05:30:35 [INFO] [TRAIN] epoch=204, iter=75780/80000, loss=0.1819, lr=0.000708, batch_cost=0.5408, reader_cost=0.0003 | ETA 00:38:02 2020-12-17 05:30:41 [INFO] [TRAIN] epoch=204, iter=75790/80000, loss=0.1990, lr=0.000707, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:38:05 2020-12-17 05:30:46 [INFO] [TRAIN] epoch=204, iter=75800/80000, loss=0.1563, lr=0.000705, batch_cost=0.5455, reader_cost=0.0001 | ETA 00:38:10 2020-12-17 05:30:52 [INFO] [TRAIN] epoch=204, iter=75810/80000, loss=0.1200, lr=0.000704, batch_cost=0.5518, reader_cost=0.0001 | ETA 00:38:31 2020-12-17 05:30:57 [INFO] [TRAIN] epoch=204, iter=75820/80000, loss=0.1379, lr=0.000702, batch_cost=0.5518, reader_cost=0.0001 | ETA 00:38:26 2020-12-17 05:31:03 [INFO] [TRAIN] epoch=204, iter=75830/80000, loss=0.1479, lr=0.000701, batch_cost=0.5598, reader_cost=0.0001 | ETA 00:38:54 2020-12-17 05:31:08 [INFO] [TRAIN] epoch=204, iter=75840/80000, loss=0.1701, lr=0.000699, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:37:20 2020-12-17 05:31:14 [INFO] [TRAIN] epoch=204, iter=75850/80000, loss=0.1793, lr=0.000698, batch_cost=0.5404, reader_cost=0.0002 | ETA 00:37:22 2020-12-17 05:31:19 [INFO] [TRAIN] epoch=204, iter=75860/80000, loss=0.1770, lr=0.000696, batch_cost=0.5652, reader_cost=0.0001 | ETA 00:39:00 2020-12-17 05:31:25 [INFO] [TRAIN] epoch=204, iter=75870/80000, loss=0.1337, lr=0.000694, batch_cost=0.5379, reader_cost=0.0002 | ETA 00:37:01 2020-12-17 05:31:30 [INFO] [TRAIN] epoch=204, iter=75880/80000, loss=0.1435, lr=0.000693, batch_cost=0.5488, reader_cost=0.0003 | ETA 00:37:41 2020-12-17 05:31:36 [INFO] [TRAIN] epoch=205, iter=75890/80000, loss=0.2039, lr=0.000691, batch_cost=0.5861, reader_cost=0.0693 | ETA 00:40:08 2020-12-17 05:31:42 [INFO] [TRAIN] epoch=205, iter=75900/80000, loss=0.1652, lr=0.000690, batch_cost=0.5566, reader_cost=0.0001 | ETA 00:38:01 2020-12-17 05:31:47 [INFO] [TRAIN] epoch=205, iter=75910/80000, loss=0.1496, lr=0.000688, batch_cost=0.5815, reader_cost=0.0001 | ETA 00:39:38 2020-12-17 05:31:53 [INFO] [TRAIN] epoch=205, iter=75920/80000, loss=0.1529, lr=0.000687, batch_cost=0.5532, reader_cost=0.0001 | ETA 00:37:37 2020-12-17 05:31:58 [INFO] [TRAIN] epoch=205, iter=75930/80000, loss=0.1561, lr=0.000685, batch_cost=0.5419, reader_cost=0.0003 | ETA 00:36:45 2020-12-17 05:32:04 [INFO] [TRAIN] epoch=205, iter=75940/80000, loss=0.1659, lr=0.000684, batch_cost=0.5203, reader_cost=0.0001 | ETA 00:35:12 2020-12-17 05:32:09 [INFO] [TRAIN] epoch=205, iter=75950/80000, loss=0.1396, lr=0.000682, batch_cost=0.5317, reader_cost=0.0001 | ETA 00:35:53 2020-12-17 05:32:14 [INFO] [TRAIN] epoch=205, iter=75960/80000, loss=0.1390, lr=0.000681, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:36:30 2020-12-17 05:32:20 [INFO] [TRAIN] epoch=205, iter=75970/80000, loss=0.1470, lr=0.000679, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:36:12 2020-12-17 05:32:25 [INFO] [TRAIN] epoch=205, iter=75980/80000, loss=0.1628, lr=0.000678, batch_cost=0.5166, reader_cost=0.0001 | ETA 00:34:36 2020-12-17 05:32:30 [INFO] [TRAIN] epoch=205, iter=75990/80000, loss=0.1815, lr=0.000676, batch_cost=0.5530, reader_cost=0.0001 | ETA 00:36:57 2020-12-17 05:32:36 [INFO] [TRAIN] epoch=205, iter=76000/80000, loss=0.1827, lr=0.000675, batch_cost=0.5382, reader_cost=0.0002 | ETA 00:35:52 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:32:36 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:33:10 [INFO] [EVAL] #Images=500 mIoU=0.7894 Acc=0.9613 Kappa=0.9498 2020-12-17 05:33:10 [INFO] [EVAL] Class IoU: [0.9829 0.8607 0.9237 0.5747 0.6147 0.6044 0.7061 0.7859 0.924 0.6543 0.9471 0.8151 0.6286 0.9509 0.8578 0.8918 0.8323 0.6702 0.7741] 2020-12-17 05:33:10 [INFO] [EVAL] Class Acc: [0.992 0.9267 0.9525 0.8617 0.8407 0.786 0.8311 0.9011 0.9533 0.8626 0.97 0.8847 0.7829 0.9743 0.9532 0.9374 0.9444 0.8331 0.8619] 2020-12-17 05:33:16 [INFO] [EVAL] The model with the best validation mIoU (0.7894) was saved at iter 76000. 2020-12-17 05:33:21 [INFO] [TRAIN] epoch=205, iter=76010/80000, loss=0.1651, lr=0.000673, batch_cost=0.5272, reader_cost=0.0001 | ETA 00:35:03 2020-12-17 05:33:27 [INFO] [TRAIN] epoch=205, iter=76020/80000, loss=0.2510, lr=0.000672, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:35:58 2020-12-17 05:33:32 [INFO] [TRAIN] epoch=205, iter=76030/80000, loss=0.1236, lr=0.000670, batch_cost=0.5552, reader_cost=0.0001 | ETA 00:36:44 2020-12-17 05:33:38 [INFO] [TRAIN] epoch=205, iter=76040/80000, loss=0.1398, lr=0.000669, batch_cost=0.5453, reader_cost=0.0003 | ETA 00:35:59 2020-12-17 05:33:43 [INFO] [TRAIN] epoch=205, iter=76050/80000, loss=0.1308, lr=0.000667, batch_cost=0.5351, reader_cost=0.0001 | ETA 00:35:13 2020-12-17 05:33:48 [INFO] [TRAIN] epoch=205, iter=76060/80000, loss=0.1716, lr=0.000666, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:35:34 2020-12-17 05:33:54 [INFO] [TRAIN] epoch=205, iter=76070/80000, loss=0.1853, lr=0.000664, batch_cost=0.5457, reader_cost=0.0002 | ETA 00:35:44 2020-12-17 05:33:59 [INFO] [TRAIN] epoch=205, iter=76080/80000, loss=0.1524, lr=0.000663, batch_cost=0.5219, reader_cost=0.0002 | ETA 00:34:05 2020-12-17 05:34:04 [INFO] [TRAIN] epoch=205, iter=76090/80000, loss=0.1418, lr=0.000661, batch_cost=0.5467, reader_cost=0.0001 | ETA 00:35:37 2020-12-17 05:34:10 [INFO] [TRAIN] epoch=205, iter=76100/80000, loss=0.1704, lr=0.000660, batch_cost=0.5476, reader_cost=0.0002 | ETA 00:35:35 2020-12-17 05:34:15 [INFO] [TRAIN] epoch=205, iter=76110/80000, loss=0.1309, lr=0.000658, batch_cost=0.5519, reader_cost=0.0002 | ETA 00:35:46 2020-12-17 05:34:21 [INFO] [TRAIN] epoch=205, iter=76120/80000, loss=0.1361, lr=0.000657, batch_cost=0.5450, reader_cost=0.0001 | ETA 00:35:14 2020-12-17 05:34:26 [INFO] [TRAIN] epoch=205, iter=76130/80000, loss=0.1374, lr=0.000655, batch_cost=0.5178, reader_cost=0.0002 | ETA 00:33:23 2020-12-17 05:34:31 [INFO] [TRAIN] epoch=205, iter=76140/80000, loss=0.1367, lr=0.000654, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:34:35 2020-12-17 05:34:37 [INFO] [TRAIN] epoch=205, iter=76150/80000, loss=0.1486, lr=0.000652, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:34:27 2020-12-17 05:34:42 [INFO] [TRAIN] epoch=205, iter=76160/80000, loss=0.1077, lr=0.000650, batch_cost=0.5336, reader_cost=0.0007 | ETA 00:34:08 2020-12-17 05:34:48 [INFO] [TRAIN] epoch=205, iter=76170/80000, loss=0.1449, lr=0.000649, batch_cost=0.5577, reader_cost=0.0001 | ETA 00:35:36 2020-12-17 05:34:53 [INFO] [TRAIN] epoch=205, iter=76180/80000, loss=0.1472, lr=0.000647, batch_cost=0.5494, reader_cost=0.0001 | ETA 00:34:58 2020-12-17 05:34:59 [INFO] [TRAIN] epoch=205, iter=76190/80000, loss=0.1796, lr=0.000646, batch_cost=0.5558, reader_cost=0.0001 | ETA 00:35:17 2020-12-17 05:35:04 [INFO] [TRAIN] epoch=205, iter=76200/80000, loss=0.1981, lr=0.000644, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:33:58 2020-12-17 05:35:10 [INFO] [TRAIN] epoch=205, iter=76210/80000, loss=0.1594, lr=0.000643, batch_cost=0.5404, reader_cost=0.0002 | ETA 00:34:08 2020-12-17 05:35:15 [INFO] [TRAIN] epoch=205, iter=76220/80000, loss=0.1961, lr=0.000641, batch_cost=0.5415, reader_cost=0.0001 | ETA 00:34:06 2020-12-17 05:35:20 [INFO] [TRAIN] epoch=205, iter=76230/80000, loss=0.1331, lr=0.000640, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:34:05 2020-12-17 05:35:26 [INFO] [TRAIN] epoch=205, iter=76240/80000, loss=0.1362, lr=0.000638, batch_cost=0.5668, reader_cost=0.0001 | ETA 00:35:31 2020-12-17 05:35:31 [INFO] [TRAIN] epoch=205, iter=76250/80000, loss=0.1452, lr=0.000637, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:33:56 2020-12-17 05:35:37 [INFO] [TRAIN] epoch=205, iter=76260/80000, loss=0.1679, lr=0.000635, batch_cost=0.5149, reader_cost=0.0001 | ETA 00:32:05 2020-12-17 05:35:43 [INFO] [TRAIN] epoch=206, iter=76270/80000, loss=0.1817, lr=0.000634, batch_cost=0.6117, reader_cost=0.0580 | ETA 00:38:01 2020-12-17 05:35:48 [INFO] [TRAIN] epoch=206, iter=76280/80000, loss=0.1258, lr=0.000632, batch_cost=0.5608, reader_cost=0.0002 | ETA 00:34:46 2020-12-17 05:35:54 [INFO] [TRAIN] epoch=206, iter=76290/80000, loss=0.1722, lr=0.000631, batch_cost=0.5656, reader_cost=0.0001 | ETA 00:34:58 2020-12-17 05:35:59 [INFO] [TRAIN] epoch=206, iter=76300/80000, loss=0.1368, lr=0.000629, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:33:05 2020-12-17 05:36:05 [INFO] [TRAIN] epoch=206, iter=76310/80000, loss=0.1949, lr=0.000628, batch_cost=0.5505, reader_cost=0.0001 | ETA 00:33:51 2020-12-17 05:36:10 [INFO] [TRAIN] epoch=206, iter=76320/80000, loss=0.1398, lr=0.000626, batch_cost=0.5334, reader_cost=0.0001 | ETA 00:32:42 2020-12-17 05:36:16 [INFO] [TRAIN] epoch=206, iter=76330/80000, loss=0.1470, lr=0.000624, batch_cost=0.5621, reader_cost=0.0001 | ETA 00:34:22 2020-12-17 05:36:21 [INFO] [TRAIN] epoch=206, iter=76340/80000, loss=0.1732, lr=0.000623, batch_cost=0.5300, reader_cost=0.0001 | ETA 00:32:19 2020-12-17 05:36:27 [INFO] [TRAIN] epoch=206, iter=76350/80000, loss=0.1555, lr=0.000621, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:33:00 2020-12-17 05:36:32 [INFO] [TRAIN] epoch=206, iter=76360/80000, loss=0.1382, lr=0.000620, batch_cost=0.5468, reader_cost=0.0003 | ETA 00:33:10 2020-12-17 05:36:38 [INFO] [TRAIN] epoch=206, iter=76370/80000, loss=0.1425, lr=0.000618, batch_cost=0.5478, reader_cost=0.0002 | ETA 00:33:08 2020-12-17 05:36:43 [INFO] [TRAIN] epoch=206, iter=76380/80000, loss=0.1290, lr=0.000617, batch_cost=0.5390, reader_cost=0.0002 | ETA 00:32:31 2020-12-17 05:36:48 [INFO] [TRAIN] epoch=206, iter=76390/80000, loss=0.1797, lr=0.000615, batch_cost=0.5472, reader_cost=0.0001 | ETA 00:32:55 2020-12-17 05:36:54 [INFO] [TRAIN] epoch=206, iter=76400/80000, loss=0.1882, lr=0.000614, batch_cost=0.5505, reader_cost=0.0002 | ETA 00:33:01 2020-12-17 05:36:59 [INFO] [TRAIN] epoch=206, iter=76410/80000, loss=0.1631, lr=0.000612, batch_cost=0.5533, reader_cost=0.0001 | ETA 00:33:06 2020-12-17 05:37:05 [INFO] [TRAIN] epoch=206, iter=76420/80000, loss=0.1273, lr=0.000611, batch_cost=0.5354, reader_cost=0.0002 | ETA 00:31:56 2020-12-17 05:37:10 [INFO] [TRAIN] epoch=206, iter=76430/80000, loss=0.1407, lr=0.000609, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:31:59 2020-12-17 05:37:16 [INFO] [TRAIN] epoch=206, iter=76440/80000, loss=0.2059, lr=0.000608, batch_cost=0.5380, reader_cost=0.0002 | ETA 00:31:55 2020-12-17 05:37:21 [INFO] [TRAIN] epoch=206, iter=76450/80000, loss=0.1379, lr=0.000606, batch_cost=0.5386, reader_cost=0.0001 | ETA 00:31:51 2020-12-17 05:37:26 [INFO] [TRAIN] epoch=206, iter=76460/80000, loss=0.1217, lr=0.000605, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:31:42 2020-12-17 05:37:32 [INFO] [TRAIN] epoch=206, iter=76470/80000, loss=0.1293, lr=0.000603, batch_cost=0.5450, reader_cost=0.0001 | ETA 00:32:03 2020-12-17 05:37:37 [INFO] [TRAIN] epoch=206, iter=76480/80000, loss=0.1894, lr=0.000601, batch_cost=0.5307, reader_cost=0.0001 | ETA 00:31:07 2020-12-17 05:37:42 [INFO] [TRAIN] epoch=206, iter=76490/80000, loss=0.1513, lr=0.000600, batch_cost=0.5295, reader_cost=0.0001 | ETA 00:30:58 2020-12-17 05:37:48 [INFO] [TRAIN] epoch=206, iter=76500/80000, loss=0.0956, lr=0.000598, batch_cost=0.5426, reader_cost=0.0001 | ETA 00:31:38 2020-12-17 05:37:54 [INFO] [TRAIN] epoch=206, iter=76510/80000, loss=0.1308, lr=0.000597, batch_cost=0.5708, reader_cost=0.0007 | ETA 00:33:12 2020-12-17 05:37:59 [INFO] [TRAIN] epoch=206, iter=76520/80000, loss=0.1341, lr=0.000595, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:31:30 2020-12-17 05:38:04 [INFO] [TRAIN] epoch=206, iter=76530/80000, loss=0.1388, lr=0.000594, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:31:13 2020-12-17 05:38:10 [INFO] [TRAIN] epoch=206, iter=76540/80000, loss=0.1319, lr=0.000592, batch_cost=0.5508, reader_cost=0.0001 | ETA 00:31:45 2020-12-17 05:38:15 [INFO] [TRAIN] epoch=206, iter=76550/80000, loss=0.2056, lr=0.000591, batch_cost=0.5338, reader_cost=0.0001 | ETA 00:30:41 2020-12-17 05:38:21 [INFO] [TRAIN] epoch=206, iter=76560/80000, loss=0.1695, lr=0.000589, batch_cost=0.5370, reader_cost=0.0002 | ETA 00:30:47 2020-12-17 05:38:26 [INFO] [TRAIN] epoch=206, iter=76570/80000, loss=0.1215, lr=0.000588, batch_cost=0.5323, reader_cost=0.0001 | ETA 00:30:25 2020-12-17 05:38:31 [INFO] [TRAIN] epoch=206, iter=76580/80000, loss=0.1285, lr=0.000586, batch_cost=0.5562, reader_cost=0.0001 | ETA 00:31:42 2020-12-17 05:38:37 [INFO] [TRAIN] epoch=206, iter=76590/80000, loss=0.1407, lr=0.000585, batch_cost=0.5391, reader_cost=0.0002 | ETA 00:30:38 2020-12-17 05:38:42 [INFO] [TRAIN] epoch=206, iter=76600/80000, loss=0.1778, lr=0.000583, batch_cost=0.5473, reader_cost=0.0003 | ETA 00:31:00 2020-12-17 05:38:48 [INFO] [TRAIN] epoch=206, iter=76610/80000, loss=0.1255, lr=0.000581, batch_cost=0.5552, reader_cost=0.0002 | ETA 00:31:22 2020-12-17 05:38:53 [INFO] [TRAIN] epoch=206, iter=76620/80000, loss=0.1705, lr=0.000580, batch_cost=0.5587, reader_cost=0.0001 | ETA 00:31:28 2020-12-17 05:38:59 [INFO] [TRAIN] epoch=206, iter=76630/80000, loss=0.1232, lr=0.000578, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:30:09 2020-12-17 05:39:05 [INFO] [TRAIN] epoch=207, iter=76640/80000, loss=0.1794, lr=0.000577, batch_cost=0.6063, reader_cost=0.0623 | ETA 00:33:57 2020-12-17 05:39:11 [INFO] [TRAIN] epoch=207, iter=76650/80000, loss=0.1073, lr=0.000575, batch_cost=0.5628, reader_cost=0.0002 | ETA 00:31:25 2020-12-17 05:39:16 [INFO] [TRAIN] epoch=207, iter=76660/80000, loss=0.1474, lr=0.000574, batch_cost=0.5851, reader_cost=0.0001 | ETA 00:32:34 2020-12-17 05:39:22 [INFO] [TRAIN] epoch=207, iter=76670/80000, loss=0.2024, lr=0.000572, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:30:08 2020-12-17 05:39:27 [INFO] [TRAIN] epoch=207, iter=76680/80000, loss=0.1179, lr=0.000571, batch_cost=0.5341, reader_cost=0.0001 | ETA 00:29:33 2020-12-17 05:39:33 [INFO] [TRAIN] epoch=207, iter=76690/80000, loss=0.2009, lr=0.000569, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:29:57 2020-12-17 05:39:38 [INFO] [TRAIN] epoch=207, iter=76700/80000, loss=0.1411, lr=0.000568, batch_cost=0.5294, reader_cost=0.0002 | ETA 00:29:06 2020-12-17 05:39:43 [INFO] [TRAIN] epoch=207, iter=76710/80000, loss=0.2130, lr=0.000566, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:29:47 2020-12-17 05:39:49 [INFO] [TRAIN] epoch=207, iter=76720/80000, loss=0.1300, lr=0.000564, batch_cost=0.5508, reader_cost=0.0001 | ETA 00:30:06 2020-12-17 05:39:54 [INFO] [TRAIN] epoch=207, iter=76730/80000, loss=0.1683, lr=0.000563, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:29:15 2020-12-17 05:40:00 [INFO] [TRAIN] epoch=207, iter=76740/80000, loss=0.1646, lr=0.000561, batch_cost=0.5483, reader_cost=0.0001 | ETA 00:29:47 2020-12-17 05:40:05 [INFO] [TRAIN] epoch=207, iter=76750/80000, loss=0.1485, lr=0.000560, batch_cost=0.5679, reader_cost=0.0002 | ETA 00:30:45 2020-12-17 05:40:11 [INFO] [TRAIN] epoch=207, iter=76760/80000, loss=0.2596, lr=0.000558, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:29:09 2020-12-17 05:40:16 [INFO] [TRAIN] epoch=207, iter=76770/80000, loss=0.1540, lr=0.000557, batch_cost=0.5477, reader_cost=0.0001 | ETA 00:29:29 2020-12-17 05:40:22 [INFO] [TRAIN] epoch=207, iter=76780/80000, loss=0.1673, lr=0.000555, batch_cost=0.5444, reader_cost=0.0001 | ETA 00:29:12 2020-12-17 05:40:27 [INFO] [TRAIN] epoch=207, iter=76790/80000, loss=0.1931, lr=0.000554, batch_cost=0.5524, reader_cost=0.0001 | ETA 00:29:33 2020-12-17 05:40:33 [INFO] [TRAIN] epoch=207, iter=76800/80000, loss=0.1833, lr=0.000552, batch_cost=0.5368, reader_cost=0.0002 | ETA 00:28:37 2020-12-17 05:40:38 [INFO] [TRAIN] epoch=207, iter=76810/80000, loss=0.1868, lr=0.000550, batch_cost=0.5402, reader_cost=0.0003 | ETA 00:28:43 2020-12-17 05:40:44 [INFO] [TRAIN] epoch=207, iter=76820/80000, loss=0.1909, lr=0.000549, batch_cost=0.5591, reader_cost=0.0001 | ETA 00:29:37 2020-12-17 05:40:49 [INFO] [TRAIN] epoch=207, iter=76830/80000, loss=0.1278, lr=0.000547, batch_cost=0.5521, reader_cost=0.0001 | ETA 00:29:10 2020-12-17 05:40:55 [INFO] [TRAIN] epoch=207, iter=76840/80000, loss=0.1715, lr=0.000546, batch_cost=0.5493, reader_cost=0.0001 | ETA 00:28:55 2020-12-17 05:41:00 [INFO] [TRAIN] epoch=207, iter=76850/80000, loss=0.1371, lr=0.000544, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:28:30 2020-12-17 05:41:05 [INFO] [TRAIN] epoch=207, iter=76860/80000, loss=0.1269, lr=0.000543, batch_cost=0.5337, reader_cost=0.0003 | ETA 00:27:55 2020-12-17 05:41:11 [INFO] [TRAIN] epoch=207, iter=76870/80000, loss=0.1714, lr=0.000541, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:28:12 2020-12-17 05:41:16 [INFO] [TRAIN] epoch=207, iter=76880/80000, loss=0.1327, lr=0.000540, batch_cost=0.5472, reader_cost=0.0001 | ETA 00:28:27 2020-12-17 05:41:22 [INFO] [TRAIN] epoch=207, iter=76890/80000, loss=0.1528, lr=0.000538, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:28:11 2020-12-17 05:41:27 [INFO] [TRAIN] epoch=207, iter=76900/80000, loss=0.2079, lr=0.000537, batch_cost=0.5624, reader_cost=0.0001 | ETA 00:29:03 2020-12-17 05:41:33 [INFO] [TRAIN] epoch=207, iter=76910/80000, loss=0.1436, lr=0.000535, batch_cost=0.5370, reader_cost=0.0001 | ETA 00:27:39 2020-12-17 05:41:38 [INFO] [TRAIN] epoch=207, iter=76920/80000, loss=0.1366, lr=0.000533, batch_cost=0.5462, reader_cost=0.0001 | ETA 00:28:02 2020-12-17 05:41:44 [INFO] [TRAIN] epoch=207, iter=76930/80000, loss=0.1569, lr=0.000532, batch_cost=0.5452, reader_cost=0.0001 | ETA 00:27:53 2020-12-17 05:41:49 [INFO] [TRAIN] epoch=207, iter=76940/80000, loss=0.1349, lr=0.000530, batch_cost=0.5354, reader_cost=0.0002 | ETA 00:27:18 2020-12-17 05:41:54 [INFO] [TRAIN] epoch=207, iter=76950/80000, loss=0.1637, lr=0.000529, batch_cost=0.5312, reader_cost=0.0001 | ETA 00:27:00 2020-12-17 05:42:00 [INFO] [TRAIN] epoch=207, iter=76960/80000, loss=0.1273, lr=0.000527, batch_cost=0.5496, reader_cost=0.0001 | ETA 00:27:50 2020-12-17 05:42:05 [INFO] [TRAIN] epoch=207, iter=76970/80000, loss=0.1591, lr=0.000526, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:27:16 2020-12-17 05:42:11 [INFO] [TRAIN] epoch=207, iter=76980/80000, loss=0.1123, lr=0.000524, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:27:16 2020-12-17 05:42:16 [INFO] [TRAIN] epoch=207, iter=76990/80000, loss=0.1455, lr=0.000522, batch_cost=0.5565, reader_cost=0.0001 | ETA 00:27:54 2020-12-17 05:42:22 [INFO] [TRAIN] epoch=207, iter=77000/80000, loss=0.1205, lr=0.000521, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:27:01 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:42:22 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 05:42:55 [INFO] [EVAL] #Images=500 mIoU=0.7883 Acc=0.9614 Kappa=0.9499 2020-12-17 05:42:55 [INFO] [EVAL] Class IoU: [0.9832 0.8623 0.9237 0.5756 0.6047 0.6037 0.7053 0.7841 0.9241 0.6598 0.9479 0.8139 0.6204 0.951 0.8626 0.89 0.8236 0.668 0.7744] 2020-12-17 05:42:55 [INFO] [EVAL] Class Acc: [0.9926 0.923 0.9523 0.8602 0.8386 0.7816 0.8359 0.9029 0.9543 0.8501 0.9708 0.8814 0.7976 0.9747 0.9501 0.9365 0.9547 0.838 0.8695] 2020-12-17 05:42:59 [INFO] [EVAL] The model with the best validation mIoU (0.7894) was saved at iter 76000. 2020-12-17 05:43:05 [INFO] [TRAIN] epoch=208, iter=77010/80000, loss=0.1580, lr=0.000519, batch_cost=0.5931, reader_cost=0.0605 | ETA 00:29:33 2020-12-17 05:43:10 [INFO] [TRAIN] epoch=208, iter=77020/80000, loss=0.1760, lr=0.000518, batch_cost=0.5529, reader_cost=0.0001 | ETA 00:27:27 2020-12-17 05:43:16 [INFO] [TRAIN] epoch=208, iter=77030/80000, loss=0.1905, lr=0.000516, batch_cost=0.5651, reader_cost=0.0001 | ETA 00:27:58 2020-12-17 05:43:21 [INFO] [TRAIN] epoch=208, iter=77040/80000, loss=0.1889, lr=0.000515, batch_cost=0.5544, reader_cost=0.0004 | ETA 00:27:20 2020-12-17 05:43:27 [INFO] [TRAIN] epoch=208, iter=77050/80000, loss=0.2022, lr=0.000513, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:26:44 2020-12-17 05:43:32 [INFO] [TRAIN] epoch=208, iter=77060/80000, loss=0.1707, lr=0.000512, batch_cost=0.5334, reader_cost=0.0001 | ETA 00:26:08 2020-12-17 05:43:38 [INFO] [TRAIN] epoch=208, iter=77070/80000, loss=0.1362, lr=0.000510, batch_cost=0.5589, reader_cost=0.0015 | ETA 00:27:17 2020-12-17 05:43:43 [INFO] [TRAIN] epoch=208, iter=77080/80000, loss=0.1881, lr=0.000508, batch_cost=0.5444, reader_cost=0.0001 | ETA 00:26:29 2020-12-17 05:43:49 [INFO] [TRAIN] epoch=208, iter=77090/80000, loss=0.1717, lr=0.000507, batch_cost=0.5438, reader_cost=0.0001 | ETA 00:26:22 2020-12-17 05:43:54 [INFO] [TRAIN] epoch=208, iter=77100/80000, loss=0.1712, lr=0.000505, batch_cost=0.5320, reader_cost=0.0001 | ETA 00:25:42 2020-12-17 05:43:59 [INFO] [TRAIN] epoch=208, iter=77110/80000, loss=0.1966, lr=0.000504, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:25:59 2020-12-17 05:44:05 [INFO] [TRAIN] epoch=208, iter=77120/80000, loss=0.1698, lr=0.000502, batch_cost=0.5318, reader_cost=0.0001 | ETA 00:25:31 2020-12-17 05:44:10 [INFO] [TRAIN] epoch=208, iter=77130/80000, loss=0.1661, lr=0.000501, batch_cost=0.5424, reader_cost=0.0003 | ETA 00:25:56 2020-12-17 05:44:16 [INFO] [TRAIN] epoch=208, iter=77140/80000, loss=0.1889, lr=0.000499, batch_cost=0.5522, reader_cost=0.0001 | ETA 00:26:19 2020-12-17 05:44:21 [INFO] [TRAIN] epoch=208, iter=77150/80000, loss=0.1579, lr=0.000497, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:25:36 2020-12-17 05:44:27 [INFO] [TRAIN] epoch=208, iter=77160/80000, loss=0.1639, lr=0.000496, batch_cost=0.5502, reader_cost=0.0001 | ETA 00:26:02 2020-12-17 05:44:32 [INFO] [TRAIN] epoch=208, iter=77170/80000, loss=0.1535, lr=0.000494, batch_cost=0.5410, reader_cost=0.0004 | ETA 00:25:31 2020-12-17 05:44:37 [INFO] [TRAIN] epoch=208, iter=77180/80000, loss=0.1399, lr=0.000493, batch_cost=0.5485, reader_cost=0.0004 | ETA 00:25:46 2020-12-17 05:44:43 [INFO] [TRAIN] epoch=208, iter=77190/80000, loss=0.1919, lr=0.000491, batch_cost=0.5486, reader_cost=0.0002 | ETA 00:25:41 2020-12-17 05:44:48 [INFO] [TRAIN] epoch=208, iter=77200/80000, loss=0.1616, lr=0.000490, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:25:12 2020-12-17 05:44:54 [INFO] [TRAIN] epoch=208, iter=77210/80000, loss=0.1443, lr=0.000488, batch_cost=0.5537, reader_cost=0.0001 | ETA 00:25:44 2020-12-17 05:44:59 [INFO] [TRAIN] epoch=208, iter=77220/80000, loss=0.1248, lr=0.000486, batch_cost=0.5519, reader_cost=0.0008 | ETA 00:25:34 2020-12-17 05:45:05 [INFO] [TRAIN] epoch=208, iter=77230/80000, loss=0.1123, lr=0.000485, batch_cost=0.5417, reader_cost=0.0001 | ETA 00:25:00 2020-12-17 05:45:10 [INFO] [TRAIN] epoch=208, iter=77240/80000, loss=0.1450, lr=0.000483, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:24:56 2020-12-17 05:45:16 [INFO] [TRAIN] epoch=208, iter=77250/80000, loss=0.1407, lr=0.000482, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:24:41 2020-12-17 05:45:21 [INFO] [TRAIN] epoch=208, iter=77260/80000, loss=0.1666, lr=0.000480, batch_cost=0.5462, reader_cost=0.0001 | ETA 00:24:56 2020-12-17 05:45:27 [INFO] [TRAIN] epoch=208, iter=77270/80000, loss=0.1220, lr=0.000479, batch_cost=0.5480, reader_cost=0.0001 | ETA 00:24:56 2020-12-17 05:45:32 [INFO] [TRAIN] epoch=208, iter=77280/80000, loss=0.1302, lr=0.000477, batch_cost=0.5347, reader_cost=0.0001 | ETA 00:24:14 2020-12-17 05:45:37 [INFO] [TRAIN] epoch=208, iter=77290/80000, loss=0.1402, lr=0.000475, batch_cost=0.5509, reader_cost=0.0002 | ETA 00:24:52 2020-12-17 05:45:43 [INFO] [TRAIN] epoch=208, iter=77300/80000, loss=0.1764, lr=0.000474, batch_cost=0.5495, reader_cost=0.0001 | ETA 00:24:43 2020-12-17 05:45:48 [INFO] [TRAIN] epoch=208, iter=77310/80000, loss=0.1597, lr=0.000472, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:24:08 2020-12-17 05:45:54 [INFO] [TRAIN] epoch=208, iter=77320/80000, loss=0.1490, lr=0.000471, batch_cost=0.5522, reader_cost=0.0001 | ETA 00:24:39 2020-12-17 05:45:59 [INFO] [TRAIN] epoch=208, iter=77330/80000, loss=0.1289, lr=0.000469, batch_cost=0.5357, reader_cost=0.0001 | ETA 00:23:50 2020-12-17 05:46:05 [INFO] [TRAIN] epoch=208, iter=77340/80000, loss=0.2019, lr=0.000467, batch_cost=0.5470, reader_cost=0.0003 | ETA 00:24:15 2020-12-17 05:46:10 [INFO] [TRAIN] epoch=208, iter=77350/80000, loss=0.1232, lr=0.000466, batch_cost=0.5566, reader_cost=0.0001 | ETA 00:24:35 2020-12-17 05:46:16 [INFO] [TRAIN] epoch=208, iter=77360/80000, loss=0.1194, lr=0.000464, batch_cost=0.5528, reader_cost=0.0001 | ETA 00:24:19 2020-12-17 05:46:21 [INFO] [TRAIN] epoch=208, iter=77370/80000, loss=0.1804, lr=0.000463, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:23:43 2020-12-17 05:46:27 [INFO] [TRAIN] epoch=209, iter=77380/80000, loss=0.1856, lr=0.000461, batch_cost=0.5996, reader_cost=0.0590 | ETA 00:26:10 2020-12-17 05:46:33 [INFO] [TRAIN] epoch=209, iter=77390/80000, loss=0.1900, lr=0.000460, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:23:34 2020-12-17 05:46:38 [INFO] [TRAIN] epoch=209, iter=77400/80000, loss=0.1457, lr=0.000458, batch_cost=0.5746, reader_cost=0.0001 | ETA 00:24:54 2020-12-17 05:46:44 [INFO] [TRAIN] epoch=209, iter=77410/80000, loss=0.1563, lr=0.000456, batch_cost=0.5485, reader_cost=0.0001 | ETA 00:23:40 2020-12-17 05:46:49 [INFO] [TRAIN] epoch=209, iter=77420/80000, loss=0.1275, lr=0.000455, batch_cost=0.5489, reader_cost=0.0001 | ETA 00:23:36 2020-12-17 05:46:55 [INFO] [TRAIN] epoch=209, iter=77430/80000, loss=0.1585, lr=0.000453, batch_cost=0.5490, reader_cost=0.0001 | ETA 00:23:30 2020-12-17 05:47:00 [INFO] [TRAIN] epoch=209, iter=77440/80000, loss=0.1589, lr=0.000452, batch_cost=0.5329, reader_cost=0.0001 | ETA 00:22:44 2020-12-17 05:47:06 [INFO] [TRAIN] epoch=209, iter=77450/80000, loss=0.1474, lr=0.000450, batch_cost=0.5644, reader_cost=0.0001 | ETA 00:23:59 2020-12-17 05:47:11 [INFO] [TRAIN] epoch=209, iter=77460/80000, loss=0.1858, lr=0.000448, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:22:42 2020-12-17 05:47:17 [INFO] [TRAIN] epoch=209, iter=77470/80000, loss=0.1757, lr=0.000447, batch_cost=0.5525, reader_cost=0.0001 | ETA 00:23:17 2020-12-17 05:47:22 [INFO] [TRAIN] epoch=209, iter=77480/80000, loss=0.1689, lr=0.000445, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:22:43 2020-12-17 05:47:27 [INFO] [TRAIN] epoch=209, iter=77490/80000, loss=0.1772, lr=0.000444, batch_cost=0.5369, reader_cost=0.0009 | ETA 00:22:27 2020-12-17 05:47:33 [INFO] [TRAIN] epoch=209, iter=77500/80000, loss=0.1304, lr=0.000442, batch_cost=0.5335, reader_cost=0.0001 | ETA 00:22:13 2020-12-17 05:47:38 [INFO] [TRAIN] epoch=209, iter=77510/80000, loss=0.1317, lr=0.000441, batch_cost=0.5485, reader_cost=0.0005 | ETA 00:22:45 2020-12-17 05:47:44 [INFO] [TRAIN] epoch=209, iter=77520/80000, loss=0.1836, lr=0.000439, batch_cost=0.5353, reader_cost=0.0001 | ETA 00:22:07 2020-12-17 05:47:49 [INFO] [TRAIN] epoch=209, iter=77530/80000, loss=0.1831, lr=0.000437, batch_cost=0.5453, reader_cost=0.0001 | ETA 00:22:26 2020-12-17 05:47:54 [INFO] [TRAIN] epoch=209, iter=77540/80000, loss=0.1485, lr=0.000436, batch_cost=0.5327, reader_cost=0.0001 | ETA 00:21:50 2020-12-17 05:48:00 [INFO] [TRAIN] epoch=209, iter=77550/80000, loss=0.1368, lr=0.000434, batch_cost=0.5493, reader_cost=0.0001 | ETA 00:22:25 2020-12-17 05:48:05 [INFO] [TRAIN] epoch=209, iter=77560/80000, loss=0.1715, lr=0.000433, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:21:55 2020-12-17 05:48:11 [INFO] [TRAIN] epoch=209, iter=77570/80000, loss=0.1262, lr=0.000431, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:21:50 2020-12-17 05:48:16 [INFO] [TRAIN] epoch=209, iter=77580/80000, loss=0.1630, lr=0.000429, batch_cost=0.5472, reader_cost=0.0001 | ETA 00:22:04 2020-12-17 05:48:22 [INFO] [TRAIN] epoch=209, iter=77590/80000, loss=0.1361, lr=0.000428, batch_cost=0.5381, reader_cost=0.0003 | ETA 00:21:36 2020-12-17 05:48:27 [INFO] [TRAIN] epoch=209, iter=77600/80000, loss=0.1558, lr=0.000426, batch_cost=0.5427, reader_cost=0.0004 | ETA 00:21:42 2020-12-17 05:48:32 [INFO] [TRAIN] epoch=209, iter=77610/80000, loss=0.1124, lr=0.000425, batch_cost=0.5480, reader_cost=0.0001 | ETA 00:21:49 2020-12-17 05:48:38 [INFO] [TRAIN] epoch=209, iter=77620/80000, loss=0.1588, lr=0.000423, batch_cost=0.5334, reader_cost=0.0001 | ETA 00:21:09 2020-12-17 05:48:43 [INFO] [TRAIN] epoch=209, iter=77630/80000, loss=0.1143, lr=0.000421, batch_cost=0.5465, reader_cost=0.0001 | ETA 00:21:35 2020-12-17 05:48:49 [INFO] [TRAIN] epoch=209, iter=77640/80000, loss=0.1263, lr=0.000420, batch_cost=0.5324, reader_cost=0.0001 | ETA 00:20:56 2020-12-17 05:48:54 [INFO] [TRAIN] epoch=209, iter=77650/80000, loss=0.1086, lr=0.000418, batch_cost=0.5551, reader_cost=0.0002 | ETA 00:21:44 2020-12-17 05:49:00 [INFO] [TRAIN] epoch=209, iter=77660/80000, loss=0.1394, lr=0.000417, batch_cost=0.5443, reader_cost=0.0003 | ETA 00:21:13 2020-12-17 05:49:05 [INFO] [TRAIN] epoch=209, iter=77670/80000, loss=0.1353, lr=0.000415, batch_cost=0.5441, reader_cost=0.0001 | ETA 00:21:07 2020-12-17 05:49:10 [INFO] [TRAIN] epoch=209, iter=77680/80000, loss=0.1524, lr=0.000413, batch_cost=0.5331, reader_cost=0.0001 | ETA 00:20:36 2020-12-17 05:49:16 [INFO] [TRAIN] epoch=209, iter=77690/80000, loss=0.1408, lr=0.000412, batch_cost=0.5408, reader_cost=0.0003 | ETA 00:20:49 2020-12-17 05:49:21 [INFO] [TRAIN] epoch=209, iter=77700/80000, loss=0.1773, lr=0.000410, batch_cost=0.5280, reader_cost=0.0001 | ETA 00:20:14 2020-12-17 05:49:26 [INFO] [TRAIN] epoch=209, iter=77710/80000, loss=0.1609, lr=0.000409, batch_cost=0.5477, reader_cost=0.0001 | ETA 00:20:54 2020-12-17 05:49:32 [INFO] [TRAIN] epoch=209, iter=77720/80000, loss=0.1396, lr=0.000407, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:20:38 2020-12-17 05:49:37 [INFO] [TRAIN] epoch=209, iter=77730/80000, loss=0.1468, lr=0.000405, batch_cost=0.5485, reader_cost=0.0001 | ETA 00:20:44 2020-12-17 05:49:43 [INFO] [TRAIN] epoch=209, iter=77740/80000, loss=0.1207, lr=0.000404, batch_cost=0.5467, reader_cost=0.0001 | ETA 00:20:35 2020-12-17 05:49:49 [INFO] [TRAIN] epoch=210, iter=77750/80000, loss=0.1544, lr=0.000402, batch_cost=0.5765, reader_cost=0.0660 | ETA 00:21:37 2020-12-17 05:49:54 [INFO] [TRAIN] epoch=210, iter=77760/80000, loss=0.1440, lr=0.000401, batch_cost=0.5588, reader_cost=0.0002 | ETA 00:20:51 2020-12-17 05:50:00 [INFO] [TRAIN] epoch=210, iter=77770/80000, loss=0.1274, lr=0.000399, batch_cost=0.5607, reader_cost=0.0001 | ETA 00:20:50 2020-12-17 05:50:05 [INFO] [TRAIN] epoch=210, iter=77780/80000, loss=0.1778, lr=0.000397, batch_cost=0.5557, reader_cost=0.0001 | ETA 00:20:33 2020-12-17 05:50:11 [INFO] [TRAIN] epoch=210, iter=77790/80000, loss=0.1905, lr=0.000396, batch_cost=0.5424, reader_cost=0.0001 | ETA 00:19:58 2020-12-17 05:50:16 [INFO] [TRAIN] epoch=210, iter=77800/80000, loss=0.1230, lr=0.000394, batch_cost=0.5329, reader_cost=0.0002 | ETA 00:19:32 2020-12-17 05:50:21 [INFO] [TRAIN] epoch=210, iter=77810/80000, loss=0.1640, lr=0.000392, batch_cost=0.5347, reader_cost=0.0001 | ETA 00:19:31 2020-12-17 05:50:27 [INFO] [TRAIN] epoch=210, iter=77820/80000, loss=0.1596, lr=0.000391, batch_cost=0.5614, reader_cost=0.0002 | ETA 00:20:23 2020-12-17 05:50:32 [INFO] [TRAIN] epoch=210, iter=77830/80000, loss=0.1492, lr=0.000389, batch_cost=0.5339, reader_cost=0.0001 | ETA 00:19:18 2020-12-17 05:50:38 [INFO] [TRAIN] epoch=210, iter=77840/80000, loss=0.1580, lr=0.000388, batch_cost=0.5462, reader_cost=0.0003 | ETA 00:19:39 2020-12-17 05:50:43 [INFO] [TRAIN] epoch=210, iter=77850/80000, loss=0.1252, lr=0.000386, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:19:20 2020-12-17 05:50:49 [INFO] [TRAIN] epoch=210, iter=77860/80000, loss=0.1387, lr=0.000384, batch_cost=0.5563, reader_cost=0.0001 | ETA 00:19:50 2020-12-17 05:50:54 [INFO] [TRAIN] epoch=210, iter=77870/80000, loss=0.1361, lr=0.000383, batch_cost=0.5511, reader_cost=0.0001 | ETA 00:19:33 2020-12-17 05:51:00 [INFO] [TRAIN] epoch=210, iter=77880/80000, loss=0.1631, lr=0.000381, batch_cost=0.5358, reader_cost=0.0002 | ETA 00:18:55 2020-12-17 05:51:05 [INFO] [TRAIN] epoch=210, iter=77890/80000, loss=0.1168, lr=0.000380, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:18:52 2020-12-17 05:51:10 [INFO] [TRAIN] epoch=210, iter=77900/80000, loss=0.1598, lr=0.000378, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:18:52 2020-12-17 05:51:16 [INFO] [TRAIN] epoch=210, iter=77910/80000, loss=0.1466, lr=0.000376, batch_cost=0.5407, reader_cost=0.0001 | ETA 00:18:50 2020-12-17 05:51:21 [INFO] [TRAIN] epoch=210, iter=77920/80000, loss=0.1442, lr=0.000375, batch_cost=0.5553, reader_cost=0.0001 | ETA 00:19:14 2020-12-17 05:51:27 [INFO] [TRAIN] epoch=210, iter=77930/80000, loss=0.1659, lr=0.000373, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:18:38 2020-12-17 05:51:32 [INFO] [TRAIN] epoch=210, iter=77940/80000, loss=0.1812, lr=0.000371, batch_cost=0.5475, reader_cost=0.0001 | ETA 00:18:47 2020-12-17 05:51:38 [INFO] [TRAIN] epoch=210, iter=77950/80000, loss=0.1445, lr=0.000370, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:18:20 2020-12-17 05:51:43 [INFO] [TRAIN] epoch=210, iter=77960/80000, loss=0.1334, lr=0.000368, batch_cost=0.5221, reader_cost=0.0002 | ETA 00:17:45 2020-12-17 05:51:48 [INFO] [TRAIN] epoch=210, iter=77970/80000, loss=0.1354, lr=0.000367, batch_cost=0.5464, reader_cost=0.0001 | ETA 00:18:29 2020-12-17 05:51:54 [INFO] [TRAIN] epoch=210, iter=77980/80000, loss=0.2124, lr=0.000365, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:17:59 2020-12-17 05:51:59 [INFO] [TRAIN] epoch=210, iter=77990/80000, loss=0.1794, lr=0.000363, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:18:04 2020-12-17 05:52:04 [INFO] [TRAIN] epoch=210, iter=78000/80000, loss=0.1385, lr=0.000362, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:17:52 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:52:05 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 05:52:38 [INFO] [EVAL] #Images=500 mIoU=0.7884 Acc=0.9615 Kappa=0.9500 2020-12-17 05:52:38 [INFO] [EVAL] Class IoU: [0.9832 0.8622 0.9241 0.5708 0.6166 0.6026 0.7052 0.7852 0.9242 0.6516 0.9479 0.8148 0.627 0.9514 0.8592 0.8917 0.8279 0.6594 0.7741] 2020-12-17 05:52:38 [INFO] [EVAL] Class Acc: [0.9922 0.9268 0.9529 0.8614 0.8215 0.7922 0.8334 0.9027 0.9531 0.8583 0.9717 0.8821 0.7914 0.9745 0.9504 0.9403 0.955 0.8435 0.8622] 2020-12-17 05:52:42 [INFO] [EVAL] The model with the best validation mIoU (0.7894) was saved at iter 76000. 2020-12-17 05:52:47 [INFO] [TRAIN] epoch=210, iter=78010/80000, loss=0.2668, lr=0.000360, batch_cost=0.5357, reader_cost=0.0002 | ETA 00:17:46 2020-12-17 05:52:53 [INFO] [TRAIN] epoch=210, iter=78020/80000, loss=0.1668, lr=0.000358, batch_cost=0.5463, reader_cost=0.0002 | ETA 00:18:01 2020-12-17 05:52:58 [INFO] [TRAIN] epoch=210, iter=78030/80000, loss=0.1310, lr=0.000357, batch_cost=0.5552, reader_cost=0.0002 | ETA 00:18:13 2020-12-17 05:53:04 [INFO] [TRAIN] epoch=210, iter=78040/80000, loss=0.1523, lr=0.000355, batch_cost=0.5355, reader_cost=0.0001 | ETA 00:17:29 2020-12-17 05:53:09 [INFO] [TRAIN] epoch=210, iter=78050/80000, loss=0.1272, lr=0.000354, batch_cost=0.5356, reader_cost=0.0002 | ETA 00:17:24 2020-12-17 05:53:15 [INFO] [TRAIN] epoch=210, iter=78060/80000, loss=0.1515, lr=0.000352, batch_cost=0.5531, reader_cost=0.0001 | ETA 00:17:52 2020-12-17 05:53:20 [INFO] [TRAIN] epoch=210, iter=78070/80000, loss=0.1682, lr=0.000350, batch_cost=0.5525, reader_cost=0.0001 | ETA 00:17:46 2020-12-17 05:53:26 [INFO] [TRAIN] epoch=210, iter=78080/80000, loss=0.1304, lr=0.000349, batch_cost=0.5475, reader_cost=0.0001 | ETA 00:17:31 2020-12-17 05:53:31 [INFO] [TRAIN] epoch=210, iter=78090/80000, loss=0.1255, lr=0.000347, batch_cost=0.5532, reader_cost=0.0001 | ETA 00:17:36 2020-12-17 05:53:36 [INFO] [TRAIN] epoch=210, iter=78100/80000, loss=0.1192, lr=0.000345, batch_cost=0.5302, reader_cost=0.0001 | ETA 00:16:47 2020-12-17 05:53:42 [INFO] [TRAIN] epoch=210, iter=78110/80000, loss=0.1478, lr=0.000344, batch_cost=0.5325, reader_cost=0.0001 | ETA 00:16:46 2020-12-17 05:53:47 [INFO] [TRAIN] epoch=210, iter=78120/80000, loss=0.1861, lr=0.000342, batch_cost=0.5129, reader_cost=0.0001 | ETA 00:16:04 2020-12-17 05:53:53 [INFO] [TRAIN] epoch=211, iter=78130/80000, loss=0.1804, lr=0.000340, batch_cost=0.6369, reader_cost=0.0551 | ETA 00:19:50 2020-12-17 05:53:59 [INFO] [TRAIN] epoch=211, iter=78140/80000, loss=0.1449, lr=0.000339, batch_cost=0.5554, reader_cost=0.0001 | ETA 00:17:13 2020-12-17 05:54:04 [INFO] [TRAIN] epoch=211, iter=78150/80000, loss=0.1822, lr=0.000337, batch_cost=0.5530, reader_cost=0.0010 | ETA 00:17:03 2020-12-17 05:54:10 [INFO] [TRAIN] epoch=211, iter=78160/80000, loss=0.1550, lr=0.000336, batch_cost=0.5549, reader_cost=0.0001 | ETA 00:17:01 2020-12-17 05:54:15 [INFO] [TRAIN] epoch=211, iter=78170/80000, loss=0.1796, lr=0.000334, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:16:24 2020-12-17 05:54:21 [INFO] [TRAIN] epoch=211, iter=78180/80000, loss=0.1637, lr=0.000332, batch_cost=0.5632, reader_cost=0.0002 | ETA 00:17:05 2020-12-17 05:54:26 [INFO] [TRAIN] epoch=211, iter=78190/80000, loss=0.1861, lr=0.000331, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:16:15 2020-12-17 05:54:32 [INFO] [TRAIN] epoch=211, iter=78200/80000, loss=0.1381, lr=0.000329, batch_cost=0.5298, reader_cost=0.0001 | ETA 00:15:53 2020-12-17 05:54:37 [INFO] [TRAIN] epoch=211, iter=78210/80000, loss=0.1481, lr=0.000327, batch_cost=0.5470, reader_cost=0.0001 | ETA 00:16:19 2020-12-17 05:54:42 [INFO] [TRAIN] epoch=211, iter=78220/80000, loss=0.1615, lr=0.000326, batch_cost=0.5460, reader_cost=0.0001 | ETA 00:16:11 2020-12-17 05:54:48 [INFO] [TRAIN] epoch=211, iter=78230/80000, loss=0.1255, lr=0.000324, batch_cost=0.5352, reader_cost=0.0002 | ETA 00:15:47 2020-12-17 05:54:53 [INFO] [TRAIN] epoch=211, iter=78240/80000, loss=0.1649, lr=0.000322, batch_cost=0.5479, reader_cost=0.0001 | ETA 00:16:04 2020-12-17 05:54:59 [INFO] [TRAIN] epoch=211, iter=78250/80000, loss=0.2123, lr=0.000321, batch_cost=0.5464, reader_cost=0.0016 | ETA 00:15:56 2020-12-17 05:55:04 [INFO] [TRAIN] epoch=211, iter=78260/80000, loss=0.1339, lr=0.000319, batch_cost=0.5520, reader_cost=0.0001 | ETA 00:16:00 2020-12-17 05:55:10 [INFO] [TRAIN] epoch=211, iter=78270/80000, loss=0.1442, lr=0.000317, batch_cost=0.5452, reader_cost=0.0001 | ETA 00:15:43 2020-12-17 05:55:15 [INFO] [TRAIN] epoch=211, iter=78280/80000, loss=0.1925, lr=0.000316, batch_cost=0.5379, reader_cost=0.0002 | ETA 00:15:25 2020-12-17 05:55:21 [INFO] [TRAIN] epoch=211, iter=78290/80000, loss=0.1755, lr=0.000314, batch_cost=0.5442, reader_cost=0.0001 | ETA 00:15:30 2020-12-17 05:55:26 [INFO] [TRAIN] epoch=211, iter=78300/80000, loss=0.1506, lr=0.000313, batch_cost=0.5500, reader_cost=0.0001 | ETA 00:15:34 2020-12-17 05:55:31 [INFO] [TRAIN] epoch=211, iter=78310/80000, loss=0.1559, lr=0.000311, batch_cost=0.5286, reader_cost=0.0003 | ETA 00:14:53 2020-12-17 05:55:37 [INFO] [TRAIN] epoch=211, iter=78320/80000, loss=0.1390, lr=0.000309, batch_cost=0.5556, reader_cost=0.0001 | ETA 00:15:33 2020-12-17 05:55:42 [INFO] [TRAIN] epoch=211, iter=78330/80000, loss=0.1516, lr=0.000308, batch_cost=0.5539, reader_cost=0.0001 | ETA 00:15:24 2020-12-17 05:55:48 [INFO] [TRAIN] epoch=211, iter=78340/80000, loss=0.1568, lr=0.000306, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:14:53 2020-12-17 05:55:53 [INFO] [TRAIN] epoch=211, iter=78350/80000, loss=0.1500, lr=0.000304, batch_cost=0.5536, reader_cost=0.0001 | ETA 00:15:13 2020-12-17 05:55:59 [INFO] [TRAIN] epoch=211, iter=78360/80000, loss=0.1139, lr=0.000303, batch_cost=0.5227, reader_cost=0.0001 | ETA 00:14:17 2020-12-17 05:56:04 [INFO] [TRAIN] epoch=211, iter=78370/80000, loss=0.1971, lr=0.000301, batch_cost=0.5465, reader_cost=0.0001 | ETA 00:14:50 2020-12-17 05:56:09 [INFO] [TRAIN] epoch=211, iter=78380/80000, loss=0.1381, lr=0.000299, batch_cost=0.5402, reader_cost=0.0002 | ETA 00:14:35 2020-12-17 05:56:15 [INFO] [TRAIN] epoch=211, iter=78390/80000, loss=0.1434, lr=0.000298, batch_cost=0.5366, reader_cost=0.0001 | ETA 00:14:23 2020-12-17 05:56:20 [INFO] [TRAIN] epoch=211, iter=78400/80000, loss=0.1758, lr=0.000296, batch_cost=0.5604, reader_cost=0.0003 | ETA 00:14:56 2020-12-17 05:56:26 [INFO] [TRAIN] epoch=211, iter=78410/80000, loss=0.1582, lr=0.000294, batch_cost=0.5425, reader_cost=0.0001 | ETA 00:14:22 2020-12-17 05:56:31 [INFO] [TRAIN] epoch=211, iter=78420/80000, loss=0.1486, lr=0.000293, batch_cost=0.5351, reader_cost=0.0001 | ETA 00:14:05 2020-12-17 05:56:37 [INFO] [TRAIN] epoch=211, iter=78430/80000, loss=0.1727, lr=0.000291, batch_cost=0.5518, reader_cost=0.0001 | ETA 00:14:26 2020-12-17 05:56:42 [INFO] [TRAIN] epoch=211, iter=78440/80000, loss=0.1525, lr=0.000289, batch_cost=0.5348, reader_cost=0.0001 | ETA 00:13:54 2020-12-17 05:56:47 [INFO] [TRAIN] epoch=211, iter=78450/80000, loss=0.1483, lr=0.000288, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:13:57 2020-12-17 05:56:53 [INFO] [TRAIN] epoch=211, iter=78460/80000, loss=0.1678, lr=0.000286, batch_cost=0.5485, reader_cost=0.0001 | ETA 00:14:04 2020-12-17 05:56:58 [INFO] [TRAIN] epoch=211, iter=78470/80000, loss=0.1852, lr=0.000284, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:13:49 2020-12-17 05:57:04 [INFO] [TRAIN] epoch=211, iter=78480/80000, loss=0.1413, lr=0.000283, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:13:46 2020-12-17 05:57:09 [INFO] [TRAIN] epoch=211, iter=78490/80000, loss=0.1708, lr=0.000281, batch_cost=0.5183, reader_cost=0.0001 | ETA 00:13:02 2020-12-17 05:57:15 [INFO] [TRAIN] epoch=212, iter=78500/80000, loss=0.1760, lr=0.000279, batch_cost=0.6204, reader_cost=0.0710 | ETA 00:15:30 2020-12-17 05:57:21 [INFO] [TRAIN] epoch=212, iter=78510/80000, loss=0.1511, lr=0.000278, batch_cost=0.5497, reader_cost=0.0001 | ETA 00:13:39 2020-12-17 05:57:26 [INFO] [TRAIN] epoch=212, iter=78520/80000, loss=0.1680, lr=0.000276, batch_cost=0.5594, reader_cost=0.0003 | ETA 00:13:47 2020-12-17 05:57:32 [INFO] [TRAIN] epoch=212, iter=78530/80000, loss=0.1518, lr=0.000274, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:13:18 2020-12-17 05:57:37 [INFO] [TRAIN] epoch=212, iter=78540/80000, loss=0.1484, lr=0.000273, batch_cost=0.5500, reader_cost=0.0001 | ETA 00:13:23 2020-12-17 05:57:43 [INFO] [TRAIN] epoch=212, iter=78550/80000, loss=0.1290, lr=0.000271, batch_cost=0.5540, reader_cost=0.0001 | ETA 00:13:23 2020-12-17 05:57:48 [INFO] [TRAIN] epoch=212, iter=78560/80000, loss=0.1645, lr=0.000269, batch_cost=0.5338, reader_cost=0.0001 | ETA 00:12:48 2020-12-17 05:57:54 [INFO] [TRAIN] epoch=212, iter=78570/80000, loss=0.1322, lr=0.000267, batch_cost=0.5386, reader_cost=0.0004 | ETA 00:12:50 2020-12-17 05:57:59 [INFO] [TRAIN] epoch=212, iter=78580/80000, loss=0.1898, lr=0.000266, batch_cost=0.5343, reader_cost=0.0003 | ETA 00:12:38 2020-12-17 05:58:04 [INFO] [TRAIN] epoch=212, iter=78590/80000, loss=0.1457, lr=0.000264, batch_cost=0.5502, reader_cost=0.0001 | ETA 00:12:55 2020-12-17 05:58:10 [INFO] [TRAIN] epoch=212, iter=78600/80000, loss=0.1556, lr=0.000262, batch_cost=0.5394, reader_cost=0.0002 | ETA 00:12:35 2020-12-17 05:58:15 [INFO] [TRAIN] epoch=212, iter=78610/80000, loss=0.1696, lr=0.000261, batch_cost=0.5379, reader_cost=0.0002 | ETA 00:12:27 2020-12-17 05:58:21 [INFO] [TRAIN] epoch=212, iter=78620/80000, loss=0.1518, lr=0.000259, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:12:22 2020-12-17 05:58:26 [INFO] [TRAIN] epoch=212, iter=78630/80000, loss=0.1603, lr=0.000257, batch_cost=0.5606, reader_cost=0.0003 | ETA 00:12:48 2020-12-17 05:58:31 [INFO] [TRAIN] epoch=212, iter=78640/80000, loss=0.1777, lr=0.000256, batch_cost=0.5309, reader_cost=0.0001 | ETA 00:12:01 2020-12-17 05:58:37 [INFO] [TRAIN] epoch=212, iter=78650/80000, loss=0.1540, lr=0.000254, batch_cost=0.5496, reader_cost=0.0002 | ETA 00:12:21 2020-12-17 05:58:42 [INFO] [TRAIN] epoch=212, iter=78660/80000, loss=0.1446, lr=0.000252, batch_cost=0.5444, reader_cost=0.0001 | ETA 00:12:09 2020-12-17 05:58:48 [INFO] [TRAIN] epoch=212, iter=78670/80000, loss=0.1844, lr=0.000251, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:12:01 2020-12-17 05:58:53 [INFO] [TRAIN] epoch=212, iter=78680/80000, loss=0.1292, lr=0.000249, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:11:53 2020-12-17 05:58:59 [INFO] [TRAIN] epoch=212, iter=78690/80000, loss=0.1656, lr=0.000247, batch_cost=0.5310, reader_cost=0.0001 | ETA 00:11:35 2020-12-17 05:59:04 [INFO] [TRAIN] epoch=212, iter=78700/80000, loss=0.1279, lr=0.000246, batch_cost=0.5271, reader_cost=0.0001 | ETA 00:11:25 2020-12-17 05:59:09 [INFO] [TRAIN] epoch=212, iter=78710/80000, loss=0.1589, lr=0.000244, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:11:38 2020-12-17 05:59:15 [INFO] [TRAIN] epoch=212, iter=78720/80000, loss=0.1730, lr=0.000242, batch_cost=0.5479, reader_cost=0.0001 | ETA 00:11:41 2020-12-17 05:59:20 [INFO] [TRAIN] epoch=212, iter=78730/80000, loss=0.1277, lr=0.000240, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:11:27 2020-12-17 05:59:26 [INFO] [TRAIN] epoch=212, iter=78740/80000, loss=0.1894, lr=0.000239, batch_cost=0.5441, reader_cost=0.0001 | ETA 00:11:25 2020-12-17 05:59:31 [INFO] [TRAIN] epoch=212, iter=78750/80000, loss=0.1725, lr=0.000237, batch_cost=0.5522, reader_cost=0.0001 | ETA 00:11:30 2020-12-17 05:59:36 [INFO] [TRAIN] epoch=212, iter=78760/80000, loss=0.1310, lr=0.000235, batch_cost=0.5252, reader_cost=0.0001 | ETA 00:10:51 2020-12-17 05:59:42 [INFO] [TRAIN] epoch=212, iter=78770/80000, loss=0.1373, lr=0.000234, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:11:01 2020-12-17 05:59:47 [INFO] [TRAIN] epoch=212, iter=78780/80000, loss=0.1513, lr=0.000232, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:11:02 2020-12-17 05:59:52 [INFO] [TRAIN] epoch=212, iter=78790/80000, loss=0.1420, lr=0.000230, batch_cost=0.5329, reader_cost=0.0001 | ETA 00:10:44 2020-12-17 05:59:58 [INFO] [TRAIN] epoch=212, iter=78800/80000, loss=0.1657, lr=0.000228, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:10:46 2020-12-17 06:00:03 [INFO] [TRAIN] epoch=212, iter=78810/80000, loss=0.1538, lr=0.000227, batch_cost=0.5559, reader_cost=0.0001 | ETA 00:11:01 2020-12-17 06:00:09 [INFO] [TRAIN] epoch=212, iter=78820/80000, loss=0.1170, lr=0.000225, batch_cost=0.5435, reader_cost=0.0004 | ETA 00:10:41 2020-12-17 06:00:14 [INFO] [TRAIN] epoch=212, iter=78830/80000, loss=0.1742, lr=0.000223, batch_cost=0.5470, reader_cost=0.0001 | ETA 00:10:39 2020-12-17 06:00:20 [INFO] [TRAIN] epoch=212, iter=78840/80000, loss=0.1982, lr=0.000222, batch_cost=0.5353, reader_cost=0.0001 | ETA 00:10:20 2020-12-17 06:00:25 [INFO] [TRAIN] epoch=212, iter=78850/80000, loss=0.1817, lr=0.000220, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:10:20 2020-12-17 06:00:30 [INFO] [TRAIN] epoch=212, iter=78860/80000, loss=0.1276, lr=0.000218, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:10:14 2020-12-17 06:00:36 [INFO] [TRAIN] epoch=213, iter=78870/80000, loss=0.1307, lr=0.000216, batch_cost=0.5995, reader_cost=0.0576 | ETA 00:11:17 2020-12-17 06:00:42 [INFO] [TRAIN] epoch=213, iter=78880/80000, loss=0.1578, lr=0.000215, batch_cost=0.5997, reader_cost=0.0001 | ETA 00:11:11 2020-12-17 06:00:48 [INFO] [TRAIN] epoch=213, iter=78890/80000, loss=0.1543, lr=0.000213, batch_cost=0.5366, reader_cost=0.0001 | ETA 00:09:55 2020-12-17 06:00:53 [INFO] [TRAIN] epoch=213, iter=78900/80000, loss=0.1881, lr=0.000211, batch_cost=0.5452, reader_cost=0.0001 | ETA 00:09:59 2020-12-17 06:00:59 [INFO] [TRAIN] epoch=213, iter=78910/80000, loss=0.1384, lr=0.000210, batch_cost=0.5422, reader_cost=0.0001 | ETA 00:09:51 2020-12-17 06:01:04 [INFO] [TRAIN] epoch=213, iter=78920/80000, loss=0.1677, lr=0.000208, batch_cost=0.5460, reader_cost=0.0001 | ETA 00:09:49 2020-12-17 06:01:09 [INFO] [TRAIN] epoch=213, iter=78930/80000, loss=0.2032, lr=0.000206, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:09:33 2020-12-17 06:01:15 [INFO] [TRAIN] epoch=213, iter=78940/80000, loss=0.1655, lr=0.000204, batch_cost=0.5520, reader_cost=0.0002 | ETA 00:09:45 2020-12-17 06:01:20 [INFO] [TRAIN] epoch=213, iter=78950/80000, loss=0.1560, lr=0.000203, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:09:25 2020-12-17 06:01:26 [INFO] [TRAIN] epoch=213, iter=78960/80000, loss=0.1195, lr=0.000201, batch_cost=0.5359, reader_cost=0.0001 | ETA 00:09:17 2020-12-17 06:01:31 [INFO] [TRAIN] epoch=213, iter=78970/80000, loss=0.1370, lr=0.000199, batch_cost=0.5548, reader_cost=0.0001 | ETA 00:09:31 2020-12-17 06:01:37 [INFO] [TRAIN] epoch=213, iter=78980/80000, loss=0.1314, lr=0.000197, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:09:11 2020-12-17 06:01:42 [INFO] [TRAIN] epoch=213, iter=78990/80000, loss=0.1949, lr=0.000196, batch_cost=0.5491, reader_cost=0.0001 | ETA 00:09:14 2020-12-17 06:01:48 [INFO] [TRAIN] epoch=213, iter=79000/80000, loss=0.1340, lr=0.000194, batch_cost=0.5447, reader_cost=0.0003 | ETA 00:09:04 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-17 06:01:48 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-17 06:02:21 [INFO] [EVAL] #Images=500 mIoU=0.7887 Acc=0.9614 Kappa=0.9499 2020-12-17 06:02:21 [INFO] [EVAL] Class IoU: [0.9833 0.8633 0.9239 0.5716 0.6105 0.6038 0.7052 0.7847 0.9239 0.65 0.9479 0.8148 0.6235 0.9508 0.8559 0.8959 0.8371 0.6655 0.7741] 2020-12-17 06:02:21 [INFO] [EVAL] Class Acc: [0.9926 0.9269 0.9523 0.8523 0.8449 0.7805 0.8233 0.9021 0.9547 0.8392 0.9711 0.8807 0.8 0.973 0.9572 0.9455 0.9469 0.8345 0.8582] 2020-12-17 06:02:25 [INFO] [EVAL] The model with the best validation mIoU (0.7894) was saved at iter 76000. 2020-12-17 06:02:30 [INFO] [TRAIN] epoch=213, iter=79010/80000, loss=0.1546, lr=0.000192, batch_cost=0.5417, reader_cost=0.0001 | ETA 00:08:56 2020-12-17 06:02:36 [INFO] [TRAIN] epoch=213, iter=79020/80000, loss=0.1505, lr=0.000190, batch_cost=0.5533, reader_cost=0.0001 | ETA 00:09:02 2020-12-17 06:02:41 [INFO] [TRAIN] epoch=213, iter=79030/80000, loss=0.1324, lr=0.000189, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:08:47 2020-12-17 06:02:47 [INFO] [TRAIN] epoch=213, iter=79040/80000, loss=0.1326, lr=0.000187, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:08:35 2020-12-17 06:02:52 [INFO] [TRAIN] epoch=213, iter=79050/80000, loss=0.1344, lr=0.000185, batch_cost=0.5538, reader_cost=0.0001 | ETA 00:08:46 2020-12-17 06:02:58 [INFO] [TRAIN] epoch=213, iter=79060/80000, loss=0.1407, lr=0.000183, batch_cost=0.5434, reader_cost=0.0001 | ETA 00:08:30 2020-12-17 06:03:03 [INFO] [TRAIN] epoch=213, iter=79070/80000, loss=0.1454, lr=0.000182, batch_cost=0.5565, reader_cost=0.0001 | ETA 00:08:37 2020-12-17 06:03:09 [INFO] [TRAIN] epoch=213, iter=79080/80000, loss=0.1760, lr=0.000180, batch_cost=0.5472, reader_cost=0.0001 | ETA 00:08:23 2020-12-17 06:03:14 [INFO] [TRAIN] epoch=213, iter=79090/80000, loss=0.1431, lr=0.000178, batch_cost=0.5451, reader_cost=0.0001 | ETA 00:08:16 2020-12-17 06:03:20 [INFO] [TRAIN] epoch=213, iter=79100/80000, loss=0.1541, lr=0.000176, batch_cost=0.5534, reader_cost=0.0001 | ETA 00:08:18 2020-12-17 06:03:25 [INFO] [TRAIN] epoch=213, iter=79110/80000, loss=0.1457, lr=0.000175, batch_cost=0.5590, reader_cost=0.0001 | ETA 00:08:17 2020-12-17 06:03:31 [INFO] [TRAIN] epoch=213, iter=79120/80000, loss=0.1560, lr=0.000173, batch_cost=0.5499, reader_cost=0.0001 | ETA 00:08:03 2020-12-17 06:03:36 [INFO] [TRAIN] epoch=213, iter=79130/80000, loss=0.1401, lr=0.000171, batch_cost=0.5447, reader_cost=0.0001 | ETA 00:07:53 2020-12-17 06:03:42 [INFO] [TRAIN] epoch=213, iter=79140/80000, loss=0.1352, lr=0.000169, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:07:45 2020-12-17 06:03:47 [INFO] [TRAIN] epoch=213, iter=79150/80000, loss=0.1544, lr=0.000168, batch_cost=0.5521, reader_cost=0.0001 | ETA 00:07:49 2020-12-17 06:03:53 [INFO] [TRAIN] epoch=213, iter=79160/80000, loss=0.1280, lr=0.000166, batch_cost=0.5541, reader_cost=0.0002 | ETA 00:07:45 2020-12-17 06:03:58 [INFO] [TRAIN] epoch=213, iter=79170/80000, loss=0.1800, lr=0.000164, batch_cost=0.5403, reader_cost=0.0016 | ETA 00:07:28 2020-12-17 06:04:04 [INFO] [TRAIN] epoch=213, iter=79180/80000, loss=0.1516, lr=0.000162, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:07:22 2020-12-17 06:04:09 [INFO] [TRAIN] epoch=213, iter=79190/80000, loss=0.1622, lr=0.000160, batch_cost=0.5612, reader_cost=0.0001 | ETA 00:07:34 2020-12-17 06:04:15 [INFO] [TRAIN] epoch=213, iter=79200/80000, loss=0.1931, lr=0.000159, batch_cost=0.5572, reader_cost=0.0001 | ETA 00:07:25 2020-12-17 06:04:20 [INFO] [TRAIN] epoch=213, iter=79210/80000, loss=0.1597, lr=0.000157, batch_cost=0.5347, reader_cost=0.0011 | ETA 00:07:02 2020-12-17 06:04:25 [INFO] [TRAIN] epoch=213, iter=79220/80000, loss=0.1394, lr=0.000155, batch_cost=0.5330, reader_cost=0.0001 | ETA 00:06:55 2020-12-17 06:04:31 [INFO] [TRAIN] epoch=213, iter=79230/80000, loss=0.1671, lr=0.000153, batch_cost=0.5328, reader_cost=0.0003 | ETA 00:06:50 2020-12-17 06:04:37 [INFO] [TRAIN] epoch=214, iter=79240/80000, loss=0.1179, lr=0.000152, batch_cost=0.5881, reader_cost=0.0659 | ETA 00:07:26 2020-12-17 06:04:42 [INFO] [TRAIN] epoch=214, iter=79250/80000, loss=0.1591, lr=0.000150, batch_cost=0.5648, reader_cost=0.0001 | ETA 00:07:03 2020-12-17 06:04:48 [INFO] [TRAIN] epoch=214, iter=79260/80000, loss=0.1434, lr=0.000148, batch_cost=0.5641, reader_cost=0.0003 | ETA 00:06:57 2020-12-17 06:04:53 [INFO] [TRAIN] epoch=214, iter=79270/80000, loss=0.1802, lr=0.000146, batch_cost=0.5558, reader_cost=0.0001 | ETA 00:06:45 2020-12-17 06:04:59 [INFO] [TRAIN] epoch=214, iter=79280/80000, loss=0.1876, lr=0.000144, batch_cost=0.5458, reader_cost=0.0001 | ETA 00:06:32 2020-12-17 06:05:04 [INFO] [TRAIN] epoch=214, iter=79290/80000, loss=0.1843, lr=0.000143, batch_cost=0.5435, reader_cost=0.0001 | ETA 00:06:25 2020-12-17 06:05:10 [INFO] [TRAIN] epoch=214, iter=79300/80000, loss=0.1596, lr=0.000141, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:06:17 2020-12-17 06:05:15 [INFO] [TRAIN] epoch=214, iter=79310/80000, loss=0.1477, lr=0.000139, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:06:13 2020-12-17 06:05:20 [INFO] [TRAIN] epoch=214, iter=79320/80000, loss=0.1763, lr=0.000137, batch_cost=0.5325, reader_cost=0.0001 | ETA 00:06:02 2020-12-17 06:05:26 [INFO] [TRAIN] epoch=214, iter=79330/80000, loss=0.1224, lr=0.000135, batch_cost=0.5577, reader_cost=0.0001 | ETA 00:06:13 2020-12-17 06:05:32 [INFO] [TRAIN] epoch=214, iter=79340/80000, loss=0.1714, lr=0.000133, batch_cost=0.5677, reader_cost=0.0001 | ETA 00:06:14 2020-12-17 06:05:37 [INFO] [TRAIN] epoch=214, iter=79350/80000, loss=0.1407, lr=0.000132, batch_cost=0.5446, reader_cost=0.0001 | ETA 00:05:54 2020-12-17 06:05:43 [INFO] [TRAIN] epoch=214, iter=79360/80000, loss=0.1453, lr=0.000130, batch_cost=0.5560, reader_cost=0.0002 | ETA 00:05:55 2020-12-17 06:05:48 [INFO] [TRAIN] epoch=214, iter=79370/80000, loss=0.1554, lr=0.000128, batch_cost=0.5521, reader_cost=0.0001 | ETA 00:05:47 2020-12-17 06:05:54 [INFO] [TRAIN] epoch=214, iter=79380/80000, loss=0.1471, lr=0.000126, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:05:34 2020-12-17 06:05:59 [INFO] [TRAIN] epoch=214, iter=79390/80000, loss=0.1569, lr=0.000124, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:05:29 2020-12-17 06:06:05 [INFO] [TRAIN] epoch=214, iter=79400/80000, loss=0.1377, lr=0.000123, batch_cost=0.5573, reader_cost=0.0003 | ETA 00:05:34 2020-12-17 06:06:10 [INFO] [TRAIN] epoch=214, iter=79410/80000, loss=0.1779, lr=0.000121, batch_cost=0.5441, reader_cost=0.0001 | ETA 00:05:20 2020-12-17 06:06:15 [INFO] [TRAIN] epoch=214, iter=79420/80000, loss=0.1534, lr=0.000119, batch_cost=0.5405, reader_cost=0.0001 | ETA 00:05:13 2020-12-17 06:06:21 [INFO] [TRAIN] epoch=214, iter=79430/80000, loss=0.1517, lr=0.000117, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:05:08 2020-12-17 06:06:26 [INFO] [TRAIN] epoch=214, iter=79440/80000, loss=0.1405, lr=0.000115, batch_cost=0.5560, reader_cost=0.0001 | ETA 00:05:11 2020-12-17 06:06:32 [INFO] [TRAIN] epoch=214, iter=79450/80000, loss=0.1480, lr=0.000113, batch_cost=0.5455, reader_cost=0.0011 | ETA 00:05:00 2020-12-17 06:06:37 [INFO] [TRAIN] epoch=214, iter=79460/80000, loss=0.1771, lr=0.000111, batch_cost=0.5477, reader_cost=0.0001 | ETA 00:04:55 2020-12-17 06:06:43 [INFO] [TRAIN] epoch=214, iter=79470/80000, loss=0.1166, lr=0.000110, batch_cost=0.5455, reader_cost=0.0001 | ETA 00:04:49 2020-12-17 06:06:48 [INFO] [TRAIN] epoch=214, iter=79480/80000, loss=0.1601, lr=0.000108, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:04:42 2020-12-17 06:06:54 [INFO] [TRAIN] epoch=214, iter=79490/80000, loss=0.1630, lr=0.000106, batch_cost=0.5543, reader_cost=0.0001 | ETA 00:04:42 2020-12-17 06:06:59 [INFO] [TRAIN] epoch=214, iter=79500/80000, loss=0.1475, lr=0.000104, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:04:31 2020-12-17 06:07:05 [INFO] [TRAIN] epoch=214, iter=79510/80000, loss=0.1193, lr=0.000102, batch_cost=0.5534, reader_cost=0.0001 | ETA 00:04:31 2020-12-17 06:07:10 [INFO] [TRAIN] epoch=214, iter=79520/80000, loss=0.1568, lr=0.000100, batch_cost=0.5516, reader_cost=0.0002 | ETA 00:04:24 2020-12-17 06:07:16 [INFO] [TRAIN] epoch=214, iter=79530/80000, loss=0.1958, lr=0.000098, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:04:14 2020-12-17 06:07:21 [INFO] [TRAIN] epoch=214, iter=79540/80000, loss=0.1928, lr=0.000097, batch_cost=0.5447, reader_cost=0.0003 | ETA 00:04:10 2020-12-17 06:07:26 [INFO] [TRAIN] epoch=214, iter=79550/80000, loss=0.1461, lr=0.000095, batch_cost=0.5249, reader_cost=0.0001 | ETA 00:03:56 2020-12-17 06:07:32 [INFO] [TRAIN] epoch=214, iter=79560/80000, loss=0.1631, lr=0.000093, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:03:56 2020-12-17 06:07:37 [INFO] [TRAIN] epoch=214, iter=79570/80000, loss=0.1867, lr=0.000091, batch_cost=0.5442, reader_cost=0.0001 | ETA 00:03:53 2020-12-17 06:07:43 [INFO] [TRAIN] epoch=214, iter=79580/80000, loss=0.1680, lr=0.000089, batch_cost=0.5549, reader_cost=0.0001 | ETA 00:03:53 2020-12-17 06:07:48 [INFO] [TRAIN] epoch=214, iter=79590/80000, loss=0.1335, lr=0.000087, batch_cost=0.5545, reader_cost=0.0001 | ETA 00:03:47 2020-12-17 06:07:54 [INFO] [TRAIN] epoch=214, iter=79600/80000, loss=0.1430, lr=0.000085, batch_cost=0.5503, reader_cost=0.0002 | ETA 00:03:40 2020-12-17 06:08:00 [INFO] [TRAIN] epoch=215, iter=79610/80000, loss=0.1502, lr=0.000083, batch_cost=0.5782, reader_cost=0.0501 | ETA 00:03:45 2020-12-17 06:08:05 [INFO] [TRAIN] epoch=215, iter=79620/80000, loss=0.1255, lr=0.000081, batch_cost=0.5728, reader_cost=0.0001 | ETA 00:03:37 2020-12-17 06:08:11 [INFO] [TRAIN] epoch=215, iter=79630/80000, loss=0.1668, lr=0.000079, batch_cost=0.5666, reader_cost=0.0002 | ETA 00:03:29 2020-12-17 06:08:16 [INFO] [TRAIN] epoch=215, iter=79640/80000, loss=0.2035, lr=0.000077, batch_cost=0.5321, reader_cost=0.0001 | ETA 00:03:11 2020-12-17 06:08:22 [INFO] [TRAIN] epoch=215, iter=79650/80000, loss=0.1360, lr=0.000076, batch_cost=0.5552, reader_cost=0.0001 | ETA 00:03:14 2020-12-17 06:08:27 [INFO] [TRAIN] epoch=215, iter=79660/80000, loss=0.1303, lr=0.000074, batch_cost=0.5468, reader_cost=0.0001 | ETA 00:03:05 2020-12-17 06:08:33 [INFO] [TRAIN] epoch=215, iter=79670/80000, loss=0.1176, lr=0.000072, batch_cost=0.5333, reader_cost=0.0001 | ETA 00:02:55 2020-12-17 06:08:38 [INFO] [TRAIN] epoch=215, iter=79680/80000, loss=0.1646, lr=0.000070, batch_cost=0.5482, reader_cost=0.0001 | ETA 00:02:55 2020-12-17 06:08:43 [INFO] [TRAIN] epoch=215, iter=79690/80000, loss=0.1154, lr=0.000068, batch_cost=0.5225, reader_cost=0.0001 | ETA 00:02:41 2020-12-17 06:08:49 [INFO] [TRAIN] epoch=215, iter=79700/80000, loss=0.1148, lr=0.000066, batch_cost=0.5467, reader_cost=0.0002 | ETA 00:02:44 2020-12-17 06:08:54 [INFO] [TRAIN] epoch=215, iter=79710/80000, loss=0.1376, lr=0.000064, batch_cost=0.5446, reader_cost=0.0010 | ETA 00:02:37 2020-12-17 06:09:00 [INFO] [TRAIN] epoch=215, iter=79720/80000, loss=0.1520, lr=0.000062, batch_cost=0.5522, reader_cost=0.0022 | ETA 00:02:34 2020-12-17 06:09:05 [INFO] [TRAIN] epoch=215, iter=79730/80000, loss=0.1263, lr=0.000060, batch_cost=0.5468, reader_cost=0.0003 | ETA 00:02:27 2020-12-17 06:09:11 [INFO] [TRAIN] epoch=215, iter=79740/80000, loss=0.1789, lr=0.000058, batch_cost=0.5453, reader_cost=0.0001 | ETA 00:02:21 2020-12-17 06:09:16 [INFO] [TRAIN] epoch=215, iter=79750/80000, loss=0.1358, lr=0.000056, batch_cost=0.5412, reader_cost=0.0003 | ETA 00:02:15 2020-12-17 06:09:22 [INFO] [TRAIN] epoch=215, iter=79760/80000, loss=0.1406, lr=0.000054, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:02:09 2020-12-17 06:09:27 [INFO] [TRAIN] epoch=215, iter=79770/80000, loss=0.1662, lr=0.000052, batch_cost=0.5316, reader_cost=0.0001 | ETA 00:02:02 2020-12-17 06:09:32 [INFO] [TRAIN] epoch=215, iter=79780/80000, loss=0.2431, lr=0.000050, batch_cost=0.5496, reader_cost=0.0001 | ETA 00:02:00 2020-12-17 06:09:38 [INFO] [TRAIN] epoch=215, iter=79790/80000, loss=0.2087, lr=0.000048, batch_cost=0.5440, reader_cost=0.0001 | ETA 00:01:54 2020-12-17 06:09:43 [INFO] [TRAIN] epoch=215, iter=79800/80000, loss=0.1515, lr=0.000046, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:01:48 2020-12-17 06:09:49 [INFO] [TRAIN] epoch=215, iter=79810/80000, loss=0.1231, lr=0.000044, batch_cost=0.5466, reader_cost=0.0001 | ETA 00:01:43 2020-12-17 06:09:54 [INFO] [TRAIN] epoch=215, iter=79820/80000, loss=0.2144, lr=0.000042, batch_cost=0.5273, reader_cost=0.0001 | ETA 00:01:34 2020-12-17 06:09:59 [INFO] [TRAIN] epoch=215, iter=79830/80000, loss=0.1271, lr=0.000040, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:01:31 2020-12-17 06:10:05 [INFO] [TRAIN] epoch=215, iter=79840/80000, loss=0.1304, lr=0.000037, batch_cost=0.5526, reader_cost=0.0002 | ETA 00:01:28 2020-12-17 06:10:10 [INFO] [TRAIN] epoch=215, iter=79850/80000, loss=0.1385, lr=0.000035, batch_cost=0.5320, reader_cost=0.0001 | ETA 00:01:19 2020-12-17 06:10:16 [INFO] [TRAIN] epoch=215, iter=79860/80000, loss=0.1258, lr=0.000033, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:01:15 2020-12-17 06:10:21 [INFO] [TRAIN] epoch=215, iter=79870/80000, loss=0.1567, lr=0.000031, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:01:10 2020-12-17 06:10:26 [INFO] [TRAIN] epoch=215, iter=79880/80000, loss=0.2001, lr=0.000029, batch_cost=0.5453, reader_cost=0.0022 | ETA 00:01:05 2020-12-17 06:10:32 [INFO] [TRAIN] epoch=215, iter=79890/80000, loss=0.1733, lr=0.000027, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:00:59 2020-12-17 06:10:37 [INFO] [TRAIN] epoch=215, iter=79900/80000, loss=0.1560, lr=0.000025, batch_cost=0.5462, reader_cost=0.0002 | ETA 00:00:54 2020-12-17 06:10:43 [INFO] [TRAIN] epoch=215, iter=79910/80000, loss=0.1392, lr=0.000022, batch_cost=0.5386, reader_cost=0.0001 | ETA 00:00:48 2020-12-17 06:10:48 [INFO] [TRAIN] epoch=215, iter=79920/80000, loss=0.1518, lr=0.000020, batch_cost=0.5391, reader_cost=0.0010 | ETA 00:00:43 2020-12-17 06:10:54 [INFO] [TRAIN] epoch=215, iter=79930/80000, loss=0.1388, lr=0.000018, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:00:37 2020-12-17 06:10:59 [INFO] [TRAIN] epoch=215, iter=79940/80000, loss=0.1458, lr=0.000016, batch_cost=0.5343, reader_cost=0.0001 | ETA 00:00:32 2020-12-17 06:11:04 [INFO] [TRAIN] epoch=215, iter=79950/80000, loss=0.1570, lr=0.000013, batch_cost=0.5447, reader_cost=0.0001 | ETA 00:00:27 2020-12-17 06:11:10 [INFO] [TRAIN] epoch=215, iter=79960/80000, loss=0.1388, lr=0.000011, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:00:21 2020-12-17 06:11:15 [INFO] [TRAIN] epoch=215, iter=79970/80000, loss=0.1471, lr=0.000009, batch_cost=0.5454, reader_cost=0.0001 | ETA 00:00:16 2020-12-17 06:11:20 [INFO] [TRAIN] epoch=215, iter=79980/80000, loss=0.1283, lr=0.000006, batch_cost=0.5061, reader_cost=0.0001 | ETA 00:00:10 2020-12-17 06:11:27 [INFO] [TRAIN] epoch=216, iter=79990/80000, loss=0.1695, lr=0.000003, batch_cost=0.6351, reader_cost=0.0803 | ETA 00:00:06 2020-12-17 06:11:32 [INFO] [TRAIN] epoch=216, iter=80000/80000, loss=0.1320, lr=0.000000, batch_cost=0.5615, reader_cost=0.0001 | ETA 00:00:00 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 06:11:32 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-17 06:12:07 [INFO] [EVAL] #Images=500 mIoU=0.7903 Acc=0.9615 Kappa=0.9500 2020-12-17 06:12:07 [INFO] [EVAL] Class IoU: [0.983 0.8605 0.9242 0.5814 0.6157 0.6034 0.7059 0.7838 0.9245 0.6565 0.948 0.8147 0.6258 0.9514 0.8643 0.8979 0.8318 0.6677 0.7742] 2020-12-17 06:12:07 [INFO] [EVAL] Class Acc: [0.9923 0.9243 0.952 0.8509 0.8246 0.7864 0.8306 0.9058 0.9558 0.8604 0.9704 0.8833 0.7884 0.9745 0.9499 0.951 0.9359 0.8382 0.8622] 2020-12-17 06:12:13 [INFO] [EVAL] The model with the best validation mIoU (0.7903) was saved at iter 80000. ----------- Configuration Arguments ----------- cluster_node_ips: 127.0.0.1 log_dir: None log_level: 20 node_ip: 127.0.0.1 print_config: True selected_gpus: None started_port: None training_script: train.py training_script_args: ['--do_eval', '--use_vdl', '--config', 'configs/isanet/isanet_resnet50_cityscapes_769x769_80k.yml'] use_paddlecloud: False ------------------------------------------------