2020-12-15 09:35:58 [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 ------------------------------------------------ 2020-12-15 09:35:58 [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/resnet101_vd_ssld.tar.gz type: ResNet101_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 ------------------------------------------------ 2020-12-15 09:36:03 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz 2020-12-15 09:36:05 [INFO] There are 530/530 variables loaded into ResNet_vd. 2020-12-15 09:36:25 [INFO] [TRAIN] epoch=1, iter=10/80000, loss=3.1498, lr=0.009999, batch_cost=1.3229, reader_cost=0.1407 | ETA 29:23:42 2020-12-15 09:36:33 [INFO] [TRAIN] epoch=1, iter=20/80000, loss=2.0549, lr=0.009998, batch_cost=0.8561, reader_cost=0.0001 | ETA 19:01:11 2020-12-15 09:36:42 [INFO] [TRAIN] epoch=1, iter=30/80000, loss=1.9646, lr=0.009997, batch_cost=0.8597, reader_cost=0.0003 | ETA 19:05:49 2020-12-15 09:36:50 [INFO] [TRAIN] epoch=1, iter=40/80000, loss=1.9880, lr=0.009996, batch_cost=0.8513, reader_cost=0.0001 | ETA 18:54:32 2020-12-15 09:36:59 [INFO] [TRAIN] epoch=1, iter=50/80000, loss=1.7256, lr=0.009994, batch_cost=0.8916, reader_cost=0.0001 | ETA 19:48:03 2020-12-15 09:37:08 [INFO] [TRAIN] epoch=1, iter=60/80000, loss=1.9163, lr=0.009993, batch_cost=0.8639, reader_cost=0.0005 | ETA 19:10:57 2020-12-15 09:37:16 [INFO] [TRAIN] epoch=1, iter=70/80000, loss=1.4146, lr=0.009992, batch_cost=0.8624, reader_cost=0.0004 | ETA 19:08:54 2020-12-15 09:37:25 [INFO] [TRAIN] epoch=1, iter=80/80000, loss=2.0692, lr=0.009991, batch_cost=0.8777, reader_cost=0.0001 | ETA 19:29:09 2020-12-15 09:37:34 [INFO] [TRAIN] epoch=1, iter=90/80000, loss=1.5010, lr=0.009990, batch_cost=0.8457, reader_cost=0.0001 | ETA 18:46:20 2020-12-15 09:37:42 [INFO] [TRAIN] epoch=1, iter=100/80000, loss=1.4694, lr=0.009989, batch_cost=0.8634, reader_cost=0.0004 | ETA 19:09:49 2020-12-15 09:37:51 [INFO] [TRAIN] epoch=1, iter=110/80000, loss=1.3738, lr=0.009988, batch_cost=0.8326, reader_cost=0.0001 | ETA 18:28:34 2020-12-15 09:37:59 [INFO] [TRAIN] epoch=1, iter=120/80000, loss=1.3964, lr=0.009987, batch_cost=0.8496, reader_cost=0.0005 | ETA 18:51:06 2020-12-15 09:38:08 [INFO] [TRAIN] epoch=1, iter=130/80000, loss=1.2014, lr=0.009985, batch_cost=0.8676, reader_cost=0.0003 | ETA 19:14:56 2020-12-15 09:38:16 [INFO] [TRAIN] epoch=1, iter=140/80000, loss=1.3972, lr=0.009984, batch_cost=0.8515, reader_cost=0.0001 | ETA 18:53:20 2020-12-15 09:38:25 [INFO] [TRAIN] epoch=1, iter=150/80000, loss=1.3493, lr=0.009983, batch_cost=0.8513, reader_cost=0.0001 | ETA 18:52:54 2020-12-15 09:38:33 [INFO] [TRAIN] epoch=1, iter=160/80000, loss=1.2059, lr=0.009982, batch_cost=0.8298, reader_cost=0.0005 | ETA 18:24:10 2020-12-15 09:38:42 [INFO] [TRAIN] epoch=1, iter=170/80000, loss=1.4710, lr=0.009981, batch_cost=0.8811, reader_cost=0.0001 | ETA 19:32:14 2020-12-15 09:38:50 [INFO] [TRAIN] epoch=1, iter=180/80000, loss=1.2511, lr=0.009980, batch_cost=0.8461, reader_cost=0.0001 | ETA 18:45:38 2020-12-15 09:38:59 [INFO] [TRAIN] epoch=1, iter=190/80000, loss=0.8750, lr=0.009979, batch_cost=0.8573, reader_cost=0.0001 | ETA 19:00:23 2020-12-15 09:39:07 [INFO] [TRAIN] epoch=1, iter=200/80000, loss=1.4282, lr=0.009978, batch_cost=0.8126, reader_cost=0.0001 | ETA 18:00:47 2020-12-15 09:39:16 [INFO] [TRAIN] epoch=1, iter=210/80000, loss=1.2946, lr=0.009976, batch_cost=0.8443, reader_cost=0.0001 | ETA 18:42:48 2020-12-15 09:39:24 [INFO] [TRAIN] epoch=1, iter=220/80000, loss=1.5185, lr=0.009975, batch_cost=0.8585, reader_cost=0.0004 | ETA 19:01:32 2020-12-15 09:39:33 [INFO] [TRAIN] epoch=1, iter=230/80000, loss=1.2346, lr=0.009974, batch_cost=0.8589, reader_cost=0.0001 | ETA 19:01:57 2020-12-15 09:39:41 [INFO] [TRAIN] epoch=1, iter=240/80000, loss=1.0937, lr=0.009973, batch_cost=0.8362, reader_cost=0.0010 | ETA 18:31:35 2020-12-15 09:39:50 [INFO] [TRAIN] epoch=1, iter=250/80000, loss=1.4225, lr=0.009972, batch_cost=0.8662, reader_cost=0.0001 | ETA 19:11:18 2020-12-15 09:39:58 [INFO] [TRAIN] epoch=1, iter=260/80000, loss=1.1479, lr=0.009971, batch_cost=0.8620, reader_cost=0.0022 | ETA 19:05:32 2020-12-15 09:40:07 [INFO] [TRAIN] epoch=1, iter=270/80000, loss=0.8574, lr=0.009970, batch_cost=0.8604, reader_cost=0.0001 | ETA 19:03:19 2020-12-15 09:40:15 [INFO] [TRAIN] epoch=1, iter=280/80000, loss=0.9001, lr=0.009969, batch_cost=0.8468, reader_cost=0.0001 | ETA 18:45:07 2020-12-15 09:40:24 [INFO] [TRAIN] epoch=1, iter=290/80000, loss=1.0690, lr=0.009967, batch_cost=0.8666, reader_cost=0.0001 | ETA 19:11:18 2020-12-15 09:40:33 [INFO] [TRAIN] epoch=1, iter=300/80000, loss=0.8064, lr=0.009966, batch_cost=0.8543, reader_cost=0.0001 | ETA 18:54:45 2020-12-15 09:40:41 [INFO] [TRAIN] epoch=1, iter=310/80000, loss=1.0899, lr=0.009965, batch_cost=0.8560, reader_cost=0.0009 | ETA 18:56:57 2020-12-15 09:40:50 [INFO] [TRAIN] epoch=1, iter=320/80000, loss=0.9330, lr=0.009964, batch_cost=0.8668, reader_cost=0.0001 | ETA 19:11:07 2020-12-15 09:40:59 [INFO] [TRAIN] epoch=1, iter=330/80000, loss=0.8701, lr=0.009963, batch_cost=0.8616, reader_cost=0.0004 | ETA 19:04:04 2020-12-15 09:41:07 [INFO] [TRAIN] epoch=1, iter=340/80000, loss=0.9388, lr=0.009962, batch_cost=0.8718, reader_cost=0.0001 | ETA 19:17:26 2020-12-15 09:41:16 [INFO] [TRAIN] epoch=1, iter=350/80000, loss=0.8855, lr=0.009961, batch_cost=0.8475, reader_cost=0.0001 | ETA 18:45:06 2020-12-15 09:41:24 [INFO] [TRAIN] epoch=1, iter=360/80000, loss=0.8009, lr=0.009960, batch_cost=0.8524, reader_cost=0.0001 | ETA 18:51:21 2020-12-15 09:41:33 [INFO] [TRAIN] epoch=1, iter=370/80000, loss=0.8989, lr=0.009958, batch_cost=0.8282, reader_cost=0.0001 | ETA 18:19:05 2020-12-15 09:41:42 [INFO] [TRAIN] epoch=2, iter=380/80000, loss=0.8907, lr=0.009957, batch_cost=0.9541, reader_cost=0.0426 | ETA 21:06:05 2020-12-15 09:41:51 [INFO] [TRAIN] epoch=2, iter=390/80000, loss=0.9540, lr=0.009956, batch_cost=0.8652, reader_cost=0.0005 | ETA 19:08:00 2020-12-15 09:41:59 [INFO] [TRAIN] epoch=2, iter=400/80000, loss=0.7102, lr=0.009955, batch_cost=0.8497, reader_cost=0.0004 | ETA 18:47:14 2020-12-15 09:42:08 [INFO] [TRAIN] epoch=2, iter=410/80000, loss=0.6220, lr=0.009954, batch_cost=0.8840, reader_cost=0.0001 | ETA 19:32:33 2020-12-15 09:42:17 [INFO] [TRAIN] epoch=2, iter=420/80000, loss=0.8580, lr=0.009953, batch_cost=0.8737, reader_cost=0.0002 | ETA 19:18:52 2020-12-15 09:42:25 [INFO] [TRAIN] epoch=2, iter=430/80000, loss=0.9309, lr=0.009952, batch_cost=0.8576, reader_cost=0.0001 | ETA 18:57:16 2020-12-15 09:42:34 [INFO] [TRAIN] epoch=2, iter=440/80000, loss=0.8729, lr=0.009951, batch_cost=0.8563, reader_cost=0.0001 | ETA 18:55:29 2020-12-15 09:42:43 [INFO] [TRAIN] epoch=2, iter=450/80000, loss=1.0110, lr=0.009949, batch_cost=0.8672, reader_cost=0.0001 | ETA 19:09:42 2020-12-15 09:42:51 [INFO] [TRAIN] epoch=2, iter=460/80000, loss=0.8488, lr=0.009948, batch_cost=0.8472, reader_cost=0.0004 | ETA 18:43:05 2020-12-15 09:42:59 [INFO] [TRAIN] epoch=2, iter=470/80000, loss=1.1046, lr=0.009947, batch_cost=0.7980, reader_cost=0.0001 | ETA 17:37:48 2020-12-15 09:43:07 [INFO] [TRAIN] epoch=2, iter=480/80000, loss=0.8267, lr=0.009946, batch_cost=0.8274, reader_cost=0.0001 | ETA 18:16:31 2020-12-15 09:43:16 [INFO] [TRAIN] epoch=2, iter=490/80000, loss=1.3142, lr=0.009945, batch_cost=0.8661, reader_cost=0.0004 | ETA 19:07:45 2020-12-15 09:43:25 [INFO] [TRAIN] epoch=2, iter=500/80000, loss=0.9943, lr=0.009944, batch_cost=0.8635, reader_cost=0.0001 | ETA 19:04:11 2020-12-15 09:43:33 [INFO] [TRAIN] epoch=2, iter=510/80000, loss=0.6904, lr=0.009943, batch_cost=0.8665, reader_cost=0.0010 | ETA 19:07:59 2020-12-15 09:43:42 [INFO] [TRAIN] epoch=2, iter=520/80000, loss=0.8736, lr=0.009942, batch_cost=0.8575, reader_cost=0.0004 | ETA 18:55:51 2020-12-15 09:43:50 [INFO] [TRAIN] epoch=2, iter=530/80000, loss=0.8388, lr=0.009940, batch_cost=0.8410, reader_cost=0.0001 | ETA 18:33:57 2020-12-15 09:43:59 [INFO] [TRAIN] epoch=2, iter=540/80000, loss=0.6147, lr=0.009939, batch_cost=0.8496, reader_cost=0.0001 | ETA 18:45:08 2020-12-15 09:44:07 [INFO] [TRAIN] epoch=2, iter=550/80000, loss=0.8286, lr=0.009938, batch_cost=0.8481, reader_cost=0.0002 | ETA 18:43:01 2020-12-15 09:44:16 [INFO] [TRAIN] epoch=2, iter=560/80000, loss=0.6694, lr=0.009937, batch_cost=0.8734, reader_cost=0.0001 | ETA 19:16:25 2020-12-15 09:44:25 [INFO] [TRAIN] epoch=2, iter=570/80000, loss=0.7413, lr=0.009936, batch_cost=0.8777, reader_cost=0.0004 | ETA 19:21:52 2020-12-15 09:44:34 [INFO] [TRAIN] epoch=2, iter=580/80000, loss=0.5872, lr=0.009935, batch_cost=0.8904, reader_cost=0.0001 | ETA 19:38:33 2020-12-15 09:44:42 [INFO] [TRAIN] epoch=2, iter=590/80000, loss=0.7032, lr=0.009934, batch_cost=0.8678, reader_cost=0.0001 | ETA 19:08:32 2020-12-15 09:44:51 [INFO] [TRAIN] epoch=2, iter=600/80000, loss=0.8590, lr=0.009933, batch_cost=0.8801, reader_cost=0.0001 | ETA 19:24:39 2020-12-15 09:45:00 [INFO] [TRAIN] epoch=2, iter=610/80000, loss=0.7291, lr=0.009931, batch_cost=0.8804, reader_cost=0.0013 | ETA 19:24:57 2020-12-15 09:45:09 [INFO] [TRAIN] epoch=2, iter=620/80000, loss=1.0366, lr=0.009930, batch_cost=0.8755, reader_cost=0.0004 | ETA 19:18:19 2020-12-15 09:45:18 [INFO] [TRAIN] epoch=2, iter=630/80000, loss=0.7122, lr=0.009929, batch_cost=0.8970, reader_cost=0.0003 | ETA 19:46:36 2020-12-15 09:45:27 [INFO] [TRAIN] epoch=2, iter=640/80000, loss=0.5432, lr=0.009928, batch_cost=0.8801, reader_cost=0.0001 | ETA 19:24:07 2020-12-15 09:45:36 [INFO] [TRAIN] epoch=2, iter=650/80000, loss=0.7407, lr=0.009927, batch_cost=0.9006, reader_cost=0.0001 | ETA 19:51:03 2020-12-15 09:45:44 [INFO] [TRAIN] epoch=2, iter=660/80000, loss=0.7173, lr=0.009926, batch_cost=0.8701, reader_cost=0.0001 | ETA 19:10:35 2020-12-15 09:45:53 [INFO] [TRAIN] epoch=2, iter=670/80000, loss=0.7383, lr=0.009925, batch_cost=0.8732, reader_cost=0.0012 | ETA 19:14:34 2020-12-15 09:46:02 [INFO] [TRAIN] epoch=2, iter=680/80000, loss=0.9716, lr=0.009924, batch_cost=0.8577, reader_cost=0.0001 | ETA 18:53:48 2020-12-15 09:46:11 [INFO] [TRAIN] epoch=2, iter=690/80000, loss=0.7029, lr=0.009922, batch_cost=0.9054, reader_cost=0.0005 | ETA 19:56:44 2020-12-15 09:46:19 [INFO] [TRAIN] epoch=2, iter=700/80000, loss=1.0521, lr=0.009921, batch_cost=0.8728, reader_cost=0.0001 | ETA 19:13:36 2020-12-15 09:46:28 [INFO] [TRAIN] epoch=2, iter=710/80000, loss=0.7391, lr=0.009920, batch_cost=0.8693, reader_cost=0.0002 | ETA 19:08:45 2020-12-15 09:46:37 [INFO] [TRAIN] epoch=2, iter=720/80000, loss=0.6693, lr=0.009919, batch_cost=0.8885, reader_cost=0.0008 | ETA 19:33:58 2020-12-15 09:46:46 [INFO] [TRAIN] epoch=2, iter=730/80000, loss=0.5877, lr=0.009918, batch_cost=0.8848, reader_cost=0.0002 | ETA 19:28:56 2020-12-15 09:46:55 [INFO] [TRAIN] epoch=2, iter=740/80000, loss=0.4940, lr=0.009917, batch_cost=0.8838, reader_cost=0.0001 | ETA 19:27:30 2020-12-15 09:47:04 [INFO] [TRAIN] epoch=3, iter=750/80000, loss=0.6428, lr=0.009916, batch_cost=0.9314, reader_cost=0.0473 | ETA 20:30:15 2020-12-15 09:47:12 [INFO] [TRAIN] epoch=3, iter=760/80000, loss=0.5829, lr=0.009915, batch_cost=0.8453, reader_cost=0.0001 | ETA 18:36:19 2020-12-15 09:47:20 [INFO] [TRAIN] epoch=3, iter=770/80000, loss=0.5288, lr=0.009913, batch_cost=0.8082, reader_cost=0.0001 | ETA 17:47:15 2020-12-15 09:47:29 [INFO] [TRAIN] epoch=3, iter=780/80000, loss=0.6357, lr=0.009912, batch_cost=0.8428, reader_cost=0.0002 | ETA 18:32:44 2020-12-15 09:47:38 [INFO] [TRAIN] epoch=3, iter=790/80000, loss=0.5499, lr=0.009911, batch_cost=0.8773, reader_cost=0.0001 | ETA 19:18:11 2020-12-15 09:47:46 [INFO] [TRAIN] epoch=3, iter=800/80000, loss=0.8069, lr=0.009910, batch_cost=0.8713, reader_cost=0.0002 | ETA 19:10:05 2020-12-15 09:47:55 [INFO] [TRAIN] epoch=3, iter=810/80000, loss=0.4751, lr=0.009909, batch_cost=0.8692, reader_cost=0.0001 | ETA 19:07:13 2020-12-15 09:48:04 [INFO] [TRAIN] epoch=3, iter=820/80000, loss=0.9295, lr=0.009908, batch_cost=0.8678, reader_cost=0.0001 | ETA 19:05:15 2020-12-15 09:48:12 [INFO] [TRAIN] epoch=3, iter=830/80000, loss=0.7654, lr=0.009907, batch_cost=0.8530, reader_cost=0.0003 | ETA 18:45:33 2020-12-15 09:48:21 [INFO] [TRAIN] epoch=3, iter=840/80000, loss=0.5203, lr=0.009906, batch_cost=0.8693, reader_cost=0.0005 | ETA 19:06:55 2020-12-15 09:48:30 [INFO] [TRAIN] epoch=3, iter=850/80000, loss=0.6499, lr=0.009904, batch_cost=0.8639, reader_cost=0.0001 | ETA 18:59:36 2020-12-15 09:48:38 [INFO] [TRAIN] epoch=3, iter=860/80000, loss=0.5168, lr=0.009903, batch_cost=0.8844, reader_cost=0.0001 | ETA 19:26:33 2020-12-15 09:48:47 [INFO] [TRAIN] epoch=3, iter=870/80000, loss=0.8007, lr=0.009902, batch_cost=0.8841, reader_cost=0.0001 | ETA 19:25:59 2020-12-15 09:48:56 [INFO] [TRAIN] epoch=3, iter=880/80000, loss=0.5676, lr=0.009901, batch_cost=0.8848, reader_cost=0.0024 | ETA 19:26:47 2020-12-15 09:49:05 [INFO] [TRAIN] epoch=3, iter=890/80000, loss=0.7787, lr=0.009900, batch_cost=0.8923, reader_cost=0.0006 | ETA 19:36:27 2020-12-15 09:49:14 [INFO] [TRAIN] epoch=3, iter=900/80000, loss=0.7671, lr=0.009899, batch_cost=0.8819, reader_cost=0.0006 | ETA 19:22:34 2020-12-15 09:49:22 [INFO] [TRAIN] epoch=3, iter=910/80000, loss=0.5375, lr=0.009898, batch_cost=0.8604, reader_cost=0.0001 | ETA 18:54:07 2020-12-15 09:49:31 [INFO] [TRAIN] epoch=3, iter=920/80000, loss=0.5028, lr=0.009897, batch_cost=0.8890, reader_cost=0.0001 | ETA 19:31:39 2020-12-15 09:49:40 [INFO] [TRAIN] epoch=3, iter=930/80000, loss=0.4181, lr=0.009895, batch_cost=0.8627, reader_cost=0.0001 | ETA 18:56:54 2020-12-15 09:49:49 [INFO] [TRAIN] epoch=3, iter=940/80000, loss=0.6549, lr=0.009894, batch_cost=0.8659, reader_cost=0.0001 | ETA 19:00:59 2020-12-15 09:49:58 [INFO] [TRAIN] epoch=3, iter=950/80000, loss=0.5055, lr=0.009893, batch_cost=0.8899, reader_cost=0.0001 | ETA 19:32:23 2020-12-15 09:50:06 [INFO] [TRAIN] epoch=3, iter=960/80000, loss=0.6657, lr=0.009892, batch_cost=0.8593, reader_cost=0.0001 | ETA 18:51:56 2020-12-15 09:50:15 [INFO] [TRAIN] epoch=3, iter=970/80000, loss=0.7010, lr=0.009891, batch_cost=0.9129, reader_cost=0.0002 | ETA 20:02:25 2020-12-15 09:50:24 [INFO] [TRAIN] epoch=3, iter=980/80000, loss=0.5150, lr=0.009890, batch_cost=0.8664, reader_cost=0.0010 | ETA 19:01:00 2020-12-15 09:50:33 [INFO] [TRAIN] epoch=3, iter=990/80000, loss=0.5485, lr=0.009889, batch_cost=0.8705, reader_cost=0.0001 | ETA 19:06:14 2020-12-15 09:50:42 [INFO] [TRAIN] epoch=3, iter=1000/80000, loss=0.7560, lr=0.009888, batch_cost=0.9009, reader_cost=0.0001 | ETA 19:46:12 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 09:50:42 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 09:51:32 [INFO] [EVAL] #Images=500 mIoU=0.3819 Acc=0.8887 Kappa=0.8559 2020-12-15 09:51:32 [INFO] [EVAL] Class IoU: [0.9399 0.5945 0.8044 0.1235 0.1174 0.374 0.1273 0.329 0.8614 0.3472 0.8486 0.5122 0. 0.8013 0.0002 0.0042 0. 0. 0.4707] 2020-12-15 09:51:32 [INFO] [EVAL] Class Acc: [0.9719 0.6453 0.9011 0.3519 0.5423 0.4761 0.4487 0.7157 0.9356 0.516 0.887 0.5612 0.0089 0.8746 1. 0.9603 0. 0. 0.651 ] 2020-12-15 09:51:42 [INFO] [EVAL] The model with the best validation mIoU (0.3819) was saved at iter 1000. 2020-12-15 09:51:50 [INFO] [TRAIN] epoch=3, iter=1010/80000, loss=0.6126, lr=0.009886, batch_cost=0.8240, reader_cost=0.0001 | ETA 18:04:48 2020-12-15 09:51:58 [INFO] [TRAIN] epoch=3, iter=1020/80000, loss=0.5889, lr=0.009885, batch_cost=0.8509, reader_cost=0.0001 | ETA 18:40:00 2020-12-15 09:52:07 [INFO] [TRAIN] epoch=3, iter=1030/80000, loss=0.5987, lr=0.009884, batch_cost=0.8710, reader_cost=0.0012 | ETA 19:06:21 2020-12-15 09:52:16 [INFO] [TRAIN] epoch=3, iter=1040/80000, loss=0.5054, lr=0.009883, batch_cost=0.8464, reader_cost=0.0001 | ETA 18:33:50 2020-12-15 09:52:24 [INFO] [TRAIN] epoch=3, iter=1050/80000, loss=0.8830, lr=0.009882, batch_cost=0.8673, reader_cost=0.0005 | ETA 19:01:11 2020-12-15 09:52:33 [INFO] [TRAIN] epoch=3, iter=1060/80000, loss=0.8250, lr=0.009881, batch_cost=0.8662, reader_cost=0.0001 | ETA 18:59:34 2020-12-15 09:52:41 [INFO] [TRAIN] epoch=3, iter=1070/80000, loss=0.5194, lr=0.009880, batch_cost=0.8533, reader_cost=0.0004 | ETA 18:42:34 2020-12-15 09:52:50 [INFO] [TRAIN] epoch=3, iter=1080/80000, loss=0.7473, lr=0.009879, batch_cost=0.8610, reader_cost=0.0014 | ETA 18:52:29 2020-12-15 09:52:59 [INFO] [TRAIN] epoch=3, iter=1090/80000, loss=0.5535, lr=0.009877, batch_cost=0.8551, reader_cost=0.0001 | ETA 18:44:32 2020-12-15 09:53:08 [INFO] [TRAIN] epoch=3, iter=1100/80000, loss=0.6213, lr=0.009876, batch_cost=0.8986, reader_cost=0.0001 | ETA 19:41:41 2020-12-15 09:53:16 [INFO] [TRAIN] epoch=3, iter=1110/80000, loss=0.4973, lr=0.009875, batch_cost=0.8375, reader_cost=0.0003 | ETA 18:21:13 2020-12-15 09:53:25 [INFO] [TRAIN] epoch=4, iter=1120/80000, loss=0.6351, lr=0.009874, batch_cost=0.8956, reader_cost=0.0516 | ETA 19:37:28 2020-12-15 09:53:34 [INFO] [TRAIN] epoch=4, iter=1130/80000, loss=0.5521, lr=0.009873, batch_cost=0.8861, reader_cost=0.0001 | ETA 19:24:47 2020-12-15 09:53:42 [INFO] [TRAIN] epoch=4, iter=1140/80000, loss=0.6759, lr=0.009872, batch_cost=0.8642, reader_cost=0.0001 | ETA 18:55:50 2020-12-15 09:53:51 [INFO] [TRAIN] epoch=4, iter=1150/80000, loss=0.4529, lr=0.009871, batch_cost=0.8673, reader_cost=0.0001 | ETA 18:59:50 2020-12-15 09:54:00 [INFO] [TRAIN] epoch=4, iter=1160/80000, loss=0.5590, lr=0.009870, batch_cost=0.8630, reader_cost=0.0001 | ETA 18:53:57 2020-12-15 09:54:09 [INFO] [TRAIN] epoch=4, iter=1170/80000, loss=0.6978, lr=0.009868, batch_cost=0.8751, reader_cost=0.0002 | ETA 19:09:47 2020-12-15 09:54:17 [INFO] [TRAIN] epoch=4, iter=1180/80000, loss=0.7025, lr=0.009867, batch_cost=0.8514, reader_cost=0.0006 | ETA 18:38:27 2020-12-15 09:54:25 [INFO] [TRAIN] epoch=4, iter=1190/80000, loss=0.6114, lr=0.009866, batch_cost=0.8281, reader_cost=0.0001 | ETA 18:07:40 2020-12-15 09:54:33 [INFO] [TRAIN] epoch=4, iter=1200/80000, loss=0.6710, lr=0.009865, batch_cost=0.8060, reader_cost=0.0001 | ETA 17:38:30 2020-12-15 09:54:41 [INFO] [TRAIN] epoch=4, iter=1210/80000, loss=0.4957, lr=0.009864, batch_cost=0.7905, reader_cost=0.0001 | ETA 17:18:06 2020-12-15 09:54:49 [INFO] [TRAIN] epoch=4, iter=1220/80000, loss=0.6287, lr=0.009863, batch_cost=0.7953, reader_cost=0.0001 | ETA 17:24:16 2020-12-15 09:54:57 [INFO] [TRAIN] epoch=4, iter=1230/80000, loss=0.5711, lr=0.009862, batch_cost=0.7949, reader_cost=0.0001 | ETA 17:23:32 2020-12-15 09:55:05 [INFO] [TRAIN] epoch=4, iter=1240/80000, loss=0.5382, lr=0.009861, batch_cost=0.8002, reader_cost=0.0001 | ETA 17:30:26 2020-12-15 09:55:13 [INFO] [TRAIN] epoch=4, iter=1250/80000, loss=0.3955, lr=0.009859, batch_cost=0.8159, reader_cost=0.0001 | ETA 17:50:50 2020-12-15 09:55:21 [INFO] [TRAIN] epoch=4, iter=1260/80000, loss=0.4869, lr=0.009858, batch_cost=0.7916, reader_cost=0.0001 | ETA 17:18:53 2020-12-15 09:55:29 [INFO] [TRAIN] epoch=4, iter=1270/80000, loss=0.5393, lr=0.009857, batch_cost=0.7911, reader_cost=0.0001 | ETA 17:18:02 2020-12-15 09:55:37 [INFO] [TRAIN] epoch=4, iter=1280/80000, loss=0.6880, lr=0.009856, batch_cost=0.8023, reader_cost=0.0001 | ETA 17:32:33 2020-12-15 09:55:45 [INFO] [TRAIN] epoch=4, iter=1290/80000, loss=0.6360, lr=0.009855, batch_cost=0.7997, reader_cost=0.0001 | ETA 17:29:07 2020-12-15 09:55:53 [INFO] [TRAIN] epoch=4, iter=1300/80000, loss=0.6119, lr=0.009854, batch_cost=0.8005, reader_cost=0.0001 | ETA 17:29:58 2020-12-15 09:56:01 [INFO] [TRAIN] epoch=4, iter=1310/80000, loss=0.6490, lr=0.009853, batch_cost=0.7998, reader_cost=0.0001 | ETA 17:28:58 2020-12-15 09:56:09 [INFO] [TRAIN] epoch=4, iter=1320/80000, loss=0.4373, lr=0.009851, batch_cost=0.7940, reader_cost=0.0001 | ETA 17:21:12 2020-12-15 09:56:17 [INFO] [TRAIN] epoch=4, iter=1330/80000, loss=0.6465, lr=0.009850, batch_cost=0.7911, reader_cost=0.0001 | ETA 17:17:12 2020-12-15 09:56:25 [INFO] [TRAIN] epoch=4, iter=1340/80000, loss=0.4532, lr=0.009849, batch_cost=0.8024, reader_cost=0.0001 | ETA 17:32:00 2020-12-15 09:56:33 [INFO] [TRAIN] epoch=4, iter=1350/80000, loss=0.5729, lr=0.009848, batch_cost=0.8045, reader_cost=0.0001 | ETA 17:34:34 2020-12-15 09:56:41 [INFO] [TRAIN] epoch=4, iter=1360/80000, loss=0.5804, lr=0.009847, batch_cost=0.7835, reader_cost=0.0001 | ETA 17:06:54 2020-12-15 09:56:49 [INFO] [TRAIN] epoch=4, iter=1370/80000, loss=1.1123, lr=0.009846, batch_cost=0.7919, reader_cost=0.0000 | ETA 17:17:48 2020-12-15 09:56:57 [INFO] [TRAIN] epoch=4, iter=1380/80000, loss=0.6094, lr=0.009845, batch_cost=0.7920, reader_cost=0.0001 | ETA 17:17:44 2020-12-15 09:57:05 [INFO] [TRAIN] epoch=4, iter=1390/80000, loss=0.7281, lr=0.009844, batch_cost=0.7976, reader_cost=0.0001 | ETA 17:24:58 2020-12-15 09:57:13 [INFO] [TRAIN] epoch=4, iter=1400/80000, loss=0.5977, lr=0.009842, batch_cost=0.7963, reader_cost=0.0001 | ETA 17:23:06 2020-12-15 09:57:21 [INFO] [TRAIN] epoch=4, iter=1410/80000, loss=0.4203, lr=0.009841, batch_cost=0.8038, reader_cost=0.0001 | ETA 17:32:51 2020-12-15 09:57:29 [INFO] [TRAIN] epoch=4, iter=1420/80000, loss=0.4018, lr=0.009840, batch_cost=0.7952, reader_cost=0.0001 | ETA 17:21:22 2020-12-15 09:57:37 [INFO] [TRAIN] epoch=4, iter=1430/80000, loss=0.5477, lr=0.009839, batch_cost=0.7877, reader_cost=0.0000 | ETA 17:11:31 2020-12-15 09:57:45 [INFO] [TRAIN] epoch=4, iter=1440/80000, loss=0.4410, lr=0.009838, batch_cost=0.7934, reader_cost=0.0001 | ETA 17:18:51 2020-12-15 09:57:53 [INFO] [TRAIN] epoch=4, iter=1450/80000, loss=0.6664, lr=0.009837, batch_cost=0.7938, reader_cost=0.0001 | ETA 17:19:15 2020-12-15 09:58:00 [INFO] [TRAIN] epoch=4, iter=1460/80000, loss=0.5035, lr=0.009836, batch_cost=0.7918, reader_cost=0.0001 | ETA 17:16:26 2020-12-15 09:58:08 [INFO] [TRAIN] epoch=4, iter=1470/80000, loss=0.4725, lr=0.009835, batch_cost=0.7946, reader_cost=0.0001 | ETA 17:20:02 2020-12-15 09:58:16 [INFO] [TRAIN] epoch=4, iter=1480/80000, loss=0.6472, lr=0.009833, batch_cost=0.7898, reader_cost=0.0001 | ETA 17:13:37 2020-12-15 09:58:25 [INFO] [TRAIN] epoch=5, iter=1490/80000, loss=0.5195, lr=0.009832, batch_cost=0.8502, reader_cost=0.0514 | ETA 18:32:27 2020-12-15 09:58:33 [INFO] [TRAIN] epoch=5, iter=1500/80000, loss=0.5838, lr=0.009831, batch_cost=0.8322, reader_cost=0.0001 | ETA 18:08:45 2020-12-15 09:58:41 [INFO] [TRAIN] epoch=5, iter=1510/80000, loss=0.4400, lr=0.009830, batch_cost=0.8006, reader_cost=0.0001 | ETA 17:27:17 2020-12-15 09:58:49 [INFO] [TRAIN] epoch=5, iter=1520/80000, loss=0.4122, lr=0.009829, batch_cost=0.7977, reader_cost=0.0001 | ETA 17:23:20 2020-12-15 09:58:57 [INFO] [TRAIN] epoch=5, iter=1530/80000, loss=0.5771, lr=0.009828, batch_cost=0.8326, reader_cost=0.0001 | ETA 18:08:55 2020-12-15 09:59:06 [INFO] [TRAIN] epoch=5, iter=1540/80000, loss=0.4026, lr=0.009827, batch_cost=0.8195, reader_cost=0.0001 | ETA 17:51:36 2020-12-15 09:59:14 [INFO] [TRAIN] epoch=5, iter=1550/80000, loss=0.4690, lr=0.009826, batch_cost=0.7996, reader_cost=0.0001 | ETA 17:25:28 2020-12-15 09:59:22 [INFO] [TRAIN] epoch=5, iter=1560/80000, loss=0.5001, lr=0.009824, batch_cost=0.8130, reader_cost=0.0001 | ETA 17:42:52 2020-12-15 09:59:30 [INFO] [TRAIN] epoch=5, iter=1570/80000, loss=0.5276, lr=0.009823, batch_cost=0.8057, reader_cost=0.0001 | ETA 17:33:08 2020-12-15 09:59:38 [INFO] [TRAIN] epoch=5, iter=1580/80000, loss=0.4896, lr=0.009822, batch_cost=0.8144, reader_cost=0.0001 | ETA 17:44:27 2020-12-15 09:59:46 [INFO] [TRAIN] epoch=5, iter=1590/80000, loss=0.4445, lr=0.009821, batch_cost=0.7897, reader_cost=0.0001 | ETA 17:12:03 2020-12-15 09:59:54 [INFO] [TRAIN] epoch=5, iter=1600/80000, loss=0.5002, lr=0.009820, batch_cost=0.7920, reader_cost=0.0001 | ETA 17:14:56 2020-12-15 10:00:02 [INFO] [TRAIN] epoch=5, iter=1610/80000, loss=0.6038, lr=0.009819, batch_cost=0.7889, reader_cost=0.0001 | ETA 17:10:38 2020-12-15 10:00:10 [INFO] [TRAIN] epoch=5, iter=1620/80000, loss=0.6818, lr=0.009818, batch_cost=0.8044, reader_cost=0.0001 | ETA 17:30:51 2020-12-15 10:00:18 [INFO] [TRAIN] epoch=5, iter=1630/80000, loss=0.5299, lr=0.009817, batch_cost=0.7867, reader_cost=0.0001 | ETA 17:07:34 2020-12-15 10:00:26 [INFO] [TRAIN] epoch=5, iter=1640/80000, loss=0.6129, lr=0.009815, batch_cost=0.8070, reader_cost=0.0001 | ETA 17:33:59 2020-12-15 10:00:34 [INFO] [TRAIN] epoch=5, iter=1650/80000, loss=0.5617, lr=0.009814, batch_cost=0.8021, reader_cost=0.0001 | ETA 17:27:21 2020-12-15 10:00:41 [INFO] [TRAIN] epoch=5, iter=1660/80000, loss=0.5495, lr=0.009813, batch_cost=0.7859, reader_cost=0.0000 | ETA 17:06:09 2020-12-15 10:00:49 [INFO] [TRAIN] epoch=5, iter=1670/80000, loss=0.4568, lr=0.009812, batch_cost=0.7968, reader_cost=0.0000 | ETA 17:20:15 2020-12-15 10:00:57 [INFO] [TRAIN] epoch=5, iter=1680/80000, loss=0.4092, lr=0.009811, batch_cost=0.7932, reader_cost=0.0000 | ETA 17:15:24 2020-12-15 10:01:05 [INFO] [TRAIN] epoch=5, iter=1690/80000, loss=0.5007, lr=0.009810, batch_cost=0.7956, reader_cost=0.0000 | ETA 17:18:21 2020-12-15 10:01:13 [INFO] [TRAIN] epoch=5, iter=1700/80000, loss=0.5294, lr=0.009809, batch_cost=0.7948, reader_cost=0.0000 | ETA 17:17:13 2020-12-15 10:01:21 [INFO] [TRAIN] epoch=5, iter=1710/80000, loss=0.3815, lr=0.009808, batch_cost=0.7896, reader_cost=0.0000 | ETA 17:10:15 2020-12-15 10:01:29 [INFO] [TRAIN] epoch=5, iter=1720/80000, loss=0.5556, lr=0.009806, batch_cost=0.7957, reader_cost=0.0001 | ETA 17:18:09 2020-12-15 10:01:37 [INFO] [TRAIN] epoch=5, iter=1730/80000, loss=0.4221, lr=0.009805, batch_cost=0.8036, reader_cost=0.0001 | ETA 17:28:21 2020-12-15 10:01:45 [INFO] [TRAIN] epoch=5, iter=1740/80000, loss=0.5623, lr=0.009804, batch_cost=0.7955, reader_cost=0.0001 | ETA 17:17:31 2020-12-15 10:01:53 [INFO] [TRAIN] epoch=5, iter=1750/80000, loss=0.4656, lr=0.009803, batch_cost=0.8108, reader_cost=0.0001 | ETA 17:37:28 2020-12-15 10:02:01 [INFO] [TRAIN] epoch=5, iter=1760/80000, loss=0.5050, lr=0.009802, batch_cost=0.7869, reader_cost=0.0001 | ETA 17:06:03 2020-12-15 10:02:09 [INFO] [TRAIN] epoch=5, iter=1770/80000, loss=0.4851, lr=0.009801, batch_cost=0.7904, reader_cost=0.0001 | ETA 17:10:29 2020-12-15 10:02:17 [INFO] [TRAIN] epoch=5, iter=1780/80000, loss=0.4832, lr=0.009800, batch_cost=0.8052, reader_cost=0.0001 | ETA 17:29:46 2020-12-15 10:02:25 [INFO] [TRAIN] epoch=5, iter=1790/80000, loss=0.4777, lr=0.009799, batch_cost=0.7980, reader_cost=0.0000 | ETA 17:20:08 2020-12-15 10:02:33 [INFO] [TRAIN] epoch=5, iter=1800/80000, loss=0.4880, lr=0.009797, batch_cost=0.7886, reader_cost=0.0001 | ETA 17:07:46 2020-12-15 10:02:41 [INFO] [TRAIN] epoch=5, iter=1810/80000, loss=0.8347, lr=0.009796, batch_cost=0.7933, reader_cost=0.0001 | ETA 17:13:44 2020-12-15 10:02:49 [INFO] [TRAIN] epoch=5, iter=1820/80000, loss=0.6396, lr=0.009795, batch_cost=0.8012, reader_cost=0.0001 | ETA 17:23:58 2020-12-15 10:02:57 [INFO] [TRAIN] epoch=5, iter=1830/80000, loss=0.6215, lr=0.009794, batch_cost=0.7873, reader_cost=0.0001 | ETA 17:05:45 2020-12-15 10:03:05 [INFO] [TRAIN] epoch=5, iter=1840/80000, loss=0.7368, lr=0.009793, batch_cost=0.8057, reader_cost=0.0001 | ETA 17:29:30 2020-12-15 10:03:13 [INFO] [TRAIN] epoch=5, iter=1850/80000, loss=0.5167, lr=0.009792, batch_cost=0.8062, reader_cost=0.0001 | ETA 17:30:08 2020-12-15 10:03:21 [INFO] [TRAIN] epoch=5, iter=1860/80000, loss=0.5121, lr=0.009791, batch_cost=0.7709, reader_cost=0.0001 | ETA 16:43:57 2020-12-15 10:03:30 [INFO] [TRAIN] epoch=6, iter=1870/80000, loss=0.6876, lr=0.009789, batch_cost=0.9550, reader_cost=0.0568 | ETA 20:43:36 2020-12-15 10:03:38 [INFO] [TRAIN] epoch=6, iter=1880/80000, loss=0.5836, lr=0.009788, batch_cost=0.8002, reader_cost=0.0001 | ETA 17:21:48 2020-12-15 10:03:46 [INFO] [TRAIN] epoch=6, iter=1890/80000, loss=0.7184, lr=0.009787, batch_cost=0.8073, reader_cost=0.0001 | ETA 17:31:00 2020-12-15 10:03:54 [INFO] [TRAIN] epoch=6, iter=1900/80000, loss=0.5502, lr=0.009786, batch_cost=0.8046, reader_cost=0.0001 | ETA 17:27:22 2020-12-15 10:04:02 [INFO] [TRAIN] epoch=6, iter=1910/80000, loss=0.4058, lr=0.009785, batch_cost=0.7931, reader_cost=0.0001 | ETA 17:12:14 2020-12-15 10:04:10 [INFO] [TRAIN] epoch=6, iter=1920/80000, loss=0.3493, lr=0.009784, batch_cost=0.8102, reader_cost=0.0001 | ETA 17:34:17 2020-12-15 10:04:18 [INFO] [TRAIN] epoch=6, iter=1930/80000, loss=0.4992, lr=0.009783, batch_cost=0.8162, reader_cost=0.0001 | ETA 17:41:58 2020-12-15 10:04:26 [INFO] [TRAIN] epoch=6, iter=1940/80000, loss=0.3793, lr=0.009782, batch_cost=0.7960, reader_cost=0.0001 | ETA 17:15:38 2020-12-15 10:04:34 [INFO] [TRAIN] epoch=6, iter=1950/80000, loss=0.3160, lr=0.009780, batch_cost=0.8041, reader_cost=0.0001 | ETA 17:26:03 2020-12-15 10:04:43 [INFO] [TRAIN] epoch=6, iter=1960/80000, loss=0.4250, lr=0.009779, batch_cost=0.8034, reader_cost=0.0001 | ETA 17:24:58 2020-12-15 10:04:50 [INFO] [TRAIN] epoch=6, iter=1970/80000, loss=0.4564, lr=0.009778, batch_cost=0.7954, reader_cost=0.0001 | ETA 17:14:25 2020-12-15 10:04:59 [INFO] [TRAIN] epoch=6, iter=1980/80000, loss=0.6145, lr=0.009777, batch_cost=0.8096, reader_cost=0.0001 | ETA 17:32:45 2020-12-15 10:05:07 [INFO] [TRAIN] epoch=6, iter=1990/80000, loss=0.3844, lr=0.009776, batch_cost=0.8159, reader_cost=0.0001 | ETA 17:40:51 2020-12-15 10:05:15 [INFO] [TRAIN] epoch=6, iter=2000/80000, loss=0.3452, lr=0.009775, batch_cost=0.7930, reader_cost=0.0001 | ETA 17:10:53 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 10:05:15 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 10:06:04 [INFO] [EVAL] #Images=500 mIoU=0.4645 Acc=0.9005 Kappa=0.8711 2020-12-15 10:06:04 [INFO] [EVAL] Class IoU: [0.952 0.6994 0.8226 0.1307 0.2364 0.386 0.2471 0.4955 0.8493 0.4115 0.8921 0.5896 0.1499 0.8422 0.0458 0.2946 0.1644 0.0487 0.5676] 2020-12-15 10:06:04 [INFO] [EVAL] Class Acc: [0.9793 0.8544 0.8859 0.3266 0.2708 0.7042 0.5995 0.6353 0.937 0.516 0.9389 0.6555 0.4443 0.9305 0.2325 0.3997 0.2871 0.6329 0.6803] 2020-12-15 10:06:14 [INFO] [EVAL] The model with the best validation mIoU (0.4645) was saved at iter 2000. 2020-12-15 10:06:22 [INFO] [TRAIN] epoch=6, iter=2010/80000, loss=0.6086, lr=0.009774, batch_cost=0.7967, reader_cost=0.0001 | ETA 17:15:38 2020-12-15 10:06:30 [INFO] [TRAIN] epoch=6, iter=2020/80000, loss=0.4910, lr=0.009773, batch_cost=0.8013, reader_cost=0.0000 | ETA 17:21:24 2020-12-15 10:06:38 [INFO] [TRAIN] epoch=6, iter=2030/80000, loss=0.4592, lr=0.009771, batch_cost=0.7985, reader_cost=0.0001 | ETA 17:17:39 2020-12-15 10:06:46 [INFO] [TRAIN] epoch=6, iter=2040/80000, loss=0.3318, lr=0.009770, batch_cost=0.7833, reader_cost=0.0001 | ETA 16:57:45 2020-12-15 10:06:54 [INFO] [TRAIN] epoch=6, iter=2050/80000, loss=0.5034, lr=0.009769, batch_cost=0.7979, reader_cost=0.0000 | ETA 17:16:35 2020-12-15 10:07:01 [INFO] [TRAIN] epoch=6, iter=2060/80000, loss=0.5970, lr=0.009768, batch_cost=0.7850, reader_cost=0.0001 | ETA 16:59:41 2020-12-15 10:07:09 [INFO] [TRAIN] epoch=6, iter=2070/80000, loss=0.4262, lr=0.009767, batch_cost=0.8111, reader_cost=0.0001 | ETA 17:33:30 2020-12-15 10:07:17 [INFO] [TRAIN] epoch=6, iter=2080/80000, loss=0.6269, lr=0.009766, batch_cost=0.7931, reader_cost=0.0001 | ETA 17:10:01 2020-12-15 10:07:25 [INFO] [TRAIN] epoch=6, iter=2090/80000, loss=0.6271, lr=0.009765, batch_cost=0.7846, reader_cost=0.0001 | ETA 16:58:48 2020-12-15 10:07:33 [INFO] [TRAIN] epoch=6, iter=2100/80000, loss=0.3865, lr=0.009764, batch_cost=0.7844, reader_cost=0.0001 | ETA 16:58:26 2020-12-15 10:07:41 [INFO] [TRAIN] epoch=6, iter=2110/80000, loss=0.3935, lr=0.009762, batch_cost=0.7742, reader_cost=0.0000 | ETA 16:45:05 2020-12-15 10:07:49 [INFO] [TRAIN] epoch=6, iter=2120/80000, loss=0.3603, lr=0.009761, batch_cost=0.8022, reader_cost=0.0001 | ETA 17:21:11 2020-12-15 10:07:57 [INFO] [TRAIN] epoch=6, iter=2130/80000, loss=0.4496, lr=0.009760, batch_cost=0.7916, reader_cost=0.0001 | ETA 17:07:20 2020-12-15 10:08:05 [INFO] [TRAIN] epoch=6, iter=2140/80000, loss=0.3305, lr=0.009759, batch_cost=0.8088, reader_cost=0.0001 | ETA 17:29:33 2020-12-15 10:08:13 [INFO] [TRAIN] epoch=6, iter=2150/80000, loss=0.3765, lr=0.009758, batch_cost=0.7811, reader_cost=0.0001 | ETA 16:53:26 2020-12-15 10:08:21 [INFO] [TRAIN] epoch=6, iter=2160/80000, loss=0.7763, lr=0.009757, batch_cost=0.7906, reader_cost=0.0001 | ETA 17:05:41 2020-12-15 10:08:29 [INFO] [TRAIN] epoch=6, iter=2170/80000, loss=0.4656, lr=0.009756, batch_cost=0.8146, reader_cost=0.0001 | ETA 17:36:39 2020-12-15 10:08:37 [INFO] [TRAIN] epoch=6, iter=2180/80000, loss=0.3687, lr=0.009755, batch_cost=0.7985, reader_cost=0.0001 | ETA 17:15:41 2020-12-15 10:08:45 [INFO] [TRAIN] epoch=6, iter=2190/80000, loss=0.3555, lr=0.009753, batch_cost=0.8068, reader_cost=0.0001 | ETA 17:26:16 2020-12-15 10:08:53 [INFO] [TRAIN] epoch=6, iter=2200/80000, loss=0.4003, lr=0.009752, batch_cost=0.7979, reader_cost=0.0001 | ETA 17:14:36 2020-12-15 10:09:01 [INFO] [TRAIN] epoch=6, iter=2210/80000, loss=0.4814, lr=0.009751, batch_cost=0.8202, reader_cost=0.0001 | ETA 17:43:20 2020-12-15 10:09:09 [INFO] [TRAIN] epoch=6, iter=2220/80000, loss=0.5147, lr=0.009750, batch_cost=0.8053, reader_cost=0.0001 | ETA 17:23:57 2020-12-15 10:09:17 [INFO] [TRAIN] epoch=6, iter=2230/80000, loss=0.4014, lr=0.009749, batch_cost=0.7739, reader_cost=0.0001 | ETA 16:43:08 2020-12-15 10:09:26 [INFO] [TRAIN] epoch=7, iter=2240/80000, loss=0.4556, lr=0.009748, batch_cost=0.9136, reader_cost=0.0779 | ETA 19:43:59 2020-12-15 10:09:34 [INFO] [TRAIN] epoch=7, iter=2250/80000, loss=0.3258, lr=0.009747, batch_cost=0.7993, reader_cost=0.0001 | ETA 17:15:44 2020-12-15 10:09:42 [INFO] [TRAIN] epoch=7, iter=2260/80000, loss=0.4016, lr=0.009745, batch_cost=0.7941, reader_cost=0.0001 | ETA 17:08:54 2020-12-15 10:09:50 [INFO] [TRAIN] epoch=7, iter=2270/80000, loss=0.5170, lr=0.009744, batch_cost=0.7971, reader_cost=0.0001 | ETA 17:12:36 2020-12-15 10:09:58 [INFO] [TRAIN] epoch=7, iter=2280/80000, loss=0.5075, lr=0.009743, batch_cost=0.7957, reader_cost=0.0000 | ETA 17:10:39 2020-12-15 10:10:06 [INFO] [TRAIN] epoch=7, iter=2290/80000, loss=0.3191, lr=0.009742, batch_cost=0.8063, reader_cost=0.0001 | ETA 17:24:13 2020-12-15 10:10:14 [INFO] [TRAIN] epoch=7, iter=2300/80000, loss=0.3283, lr=0.009741, batch_cost=0.7906, reader_cost=0.0001 | ETA 17:03:50 2020-12-15 10:10:22 [INFO] [TRAIN] epoch=7, iter=2310/80000, loss=0.4806, lr=0.009740, batch_cost=0.7984, reader_cost=0.0000 | ETA 17:13:49 2020-12-15 10:10:30 [INFO] [TRAIN] epoch=7, iter=2320/80000, loss=0.4010, lr=0.009739, batch_cost=0.8063, reader_cost=0.0000 | ETA 17:23:56 2020-12-15 10:10:38 [INFO] [TRAIN] epoch=7, iter=2330/80000, loss=0.3925, lr=0.009738, batch_cost=0.8014, reader_cost=0.0001 | ETA 17:17:24 2020-12-15 10:10:46 [INFO] [TRAIN] epoch=7, iter=2340/80000, loss=0.5999, lr=0.009736, batch_cost=0.8073, reader_cost=0.0001 | ETA 17:24:53 2020-12-15 10:10:54 [INFO] [TRAIN] epoch=7, iter=2350/80000, loss=0.3618, lr=0.009735, batch_cost=0.8023, reader_cost=0.0000 | ETA 17:18:16 2020-12-15 10:11:02 [INFO] [TRAIN] epoch=7, iter=2360/80000, loss=0.3971, lr=0.009734, batch_cost=0.8233, reader_cost=0.0000 | ETA 17:45:20 2020-12-15 10:11:10 [INFO] [TRAIN] epoch=7, iter=2370/80000, loss=0.2672, lr=0.009733, batch_cost=0.7876, reader_cost=0.0000 | ETA 16:59:04 2020-12-15 10:11:18 [INFO] [TRAIN] epoch=7, iter=2380/80000, loss=0.6302, lr=0.009732, batch_cost=0.8004, reader_cost=0.0001 | ETA 17:15:26 2020-12-15 10:11:26 [INFO] [TRAIN] epoch=7, iter=2390/80000, loss=0.3748, lr=0.009731, batch_cost=0.7997, reader_cost=0.0001 | ETA 17:14:24 2020-12-15 10:11:34 [INFO] [TRAIN] epoch=7, iter=2400/80000, loss=0.3398, lr=0.009730, batch_cost=0.8029, reader_cost=0.0000 | ETA 17:18:25 2020-12-15 10:11:42 [INFO] [TRAIN] epoch=7, iter=2410/80000, loss=0.5067, lr=0.009729, batch_cost=0.8022, reader_cost=0.0001 | ETA 17:17:20 2020-12-15 10:11:50 [INFO] [TRAIN] epoch=7, iter=2420/80000, loss=0.6817, lr=0.009727, batch_cost=0.7918, reader_cost=0.0001 | ETA 17:03:50 2020-12-15 10:11:58 [INFO] [TRAIN] epoch=7, iter=2430/80000, loss=0.2801, lr=0.009726, batch_cost=0.7819, reader_cost=0.0000 | ETA 16:50:49 2020-12-15 10:12:06 [INFO] [TRAIN] epoch=7, iter=2440/80000, loss=0.4837, lr=0.009725, batch_cost=0.7981, reader_cost=0.0001 | ETA 17:11:43 2020-12-15 10:12:14 [INFO] [TRAIN] epoch=7, iter=2450/80000, loss=0.4519, lr=0.009724, batch_cost=0.7941, reader_cost=0.0000 | ETA 17:06:20 2020-12-15 10:12:22 [INFO] [TRAIN] epoch=7, iter=2460/80000, loss=0.4215, lr=0.009723, batch_cost=0.8024, reader_cost=0.0000 | ETA 17:16:57 2020-12-15 10:12:30 [INFO] [TRAIN] epoch=7, iter=2470/80000, loss=0.5843, lr=0.009722, batch_cost=0.8030, reader_cost=0.0001 | ETA 17:17:35 2020-12-15 10:12:38 [INFO] [TRAIN] epoch=7, iter=2480/80000, loss=0.3604, lr=0.009721, batch_cost=0.7932, reader_cost=0.0000 | ETA 17:04:45 2020-12-15 10:12:46 [INFO] [TRAIN] epoch=7, iter=2490/80000, loss=0.3040, lr=0.009720, batch_cost=0.7814, reader_cost=0.0000 | ETA 16:49:27 2020-12-15 10:12:54 [INFO] [TRAIN] epoch=7, iter=2500/80000, loss=0.3591, lr=0.009718, batch_cost=0.8065, reader_cost=0.0000 | ETA 17:21:42 2020-12-15 10:13:02 [INFO] [TRAIN] epoch=7, iter=2510/80000, loss=0.3635, lr=0.009717, batch_cost=0.8317, reader_cost=0.0001 | ETA 17:54:07 2020-12-15 10:13:10 [INFO] [TRAIN] epoch=7, iter=2520/80000, loss=0.4021, lr=0.009716, batch_cost=0.7867, reader_cost=0.0000 | ETA 16:55:50 2020-12-15 10:13:18 [INFO] [TRAIN] epoch=7, iter=2530/80000, loss=0.3647, lr=0.009715, batch_cost=0.8205, reader_cost=0.0000 | ETA 17:39:20 2020-12-15 10:13:26 [INFO] [TRAIN] epoch=7, iter=2540/80000, loss=0.3852, lr=0.009714, batch_cost=0.7854, reader_cost=0.0000 | ETA 16:53:58 2020-12-15 10:13:34 [INFO] [TRAIN] epoch=7, iter=2550/80000, loss=0.4148, lr=0.009713, batch_cost=0.8178, reader_cost=0.0001 | ETA 17:35:39 2020-12-15 10:13:42 [INFO] [TRAIN] epoch=7, iter=2560/80000, loss=0.2951, lr=0.009712, batch_cost=0.7956, reader_cost=0.0000 | ETA 17:06:54 2020-12-15 10:13:50 [INFO] [TRAIN] epoch=7, iter=2570/80000, loss=0.4410, lr=0.009711, batch_cost=0.7918, reader_cost=0.0000 | ETA 17:01:46 2020-12-15 10:13:58 [INFO] [TRAIN] epoch=7, iter=2580/80000, loss=0.3585, lr=0.009709, batch_cost=0.8042, reader_cost=0.0001 | ETA 17:17:43 2020-12-15 10:14:06 [INFO] [TRAIN] epoch=7, iter=2590/80000, loss=0.5069, lr=0.009708, batch_cost=0.7948, reader_cost=0.0000 | ETA 17:05:28 2020-12-15 10:14:14 [INFO] [TRAIN] epoch=7, iter=2600/80000, loss=0.4306, lr=0.009707, batch_cost=0.7905, reader_cost=0.0000 | ETA 16:59:48 2020-12-15 10:14:23 [INFO] [TRAIN] epoch=8, iter=2610/80000, loss=0.4637, lr=0.009706, batch_cost=0.8862, reader_cost=0.0499 | ETA 19:03:06 2020-12-15 10:14:31 [INFO] [TRAIN] epoch=8, iter=2620/80000, loss=0.2997, lr=0.009705, batch_cost=0.7840, reader_cost=0.0001 | ETA 16:51:03 2020-12-15 10:14:39 [INFO] [TRAIN] epoch=8, iter=2630/80000, loss=0.3014, lr=0.009704, batch_cost=0.8075, reader_cost=0.0000 | ETA 17:21:19 2020-12-15 10:14:47 [INFO] [TRAIN] epoch=8, iter=2640/80000, loss=0.5099, lr=0.009703, batch_cost=0.8186, reader_cost=0.0001 | ETA 17:35:24 2020-12-15 10:14:55 [INFO] [TRAIN] epoch=8, iter=2650/80000, loss=0.4045, lr=0.009701, batch_cost=0.7857, reader_cost=0.0000 | ETA 16:52:50 2020-12-15 10:15:03 [INFO] [TRAIN] epoch=8, iter=2660/80000, loss=0.7262, lr=0.009700, batch_cost=0.8048, reader_cost=0.0001 | ETA 17:17:21 2020-12-15 10:15:11 [INFO] [TRAIN] epoch=8, iter=2670/80000, loss=0.4204, lr=0.009699, batch_cost=0.7892, reader_cost=0.0001 | ETA 16:57:08 2020-12-15 10:15:19 [INFO] [TRAIN] epoch=8, iter=2680/80000, loss=0.3900, lr=0.009698, batch_cost=0.7942, reader_cost=0.0001 | ETA 17:03:24 2020-12-15 10:15:27 [INFO] [TRAIN] epoch=8, iter=2690/80000, loss=0.4903, lr=0.009697, batch_cost=0.8084, reader_cost=0.0001 | ETA 17:21:38 2020-12-15 10:15:34 [INFO] [TRAIN] epoch=8, iter=2700/80000, loss=0.3817, lr=0.009696, batch_cost=0.7887, reader_cost=0.0001 | ETA 16:56:06 2020-12-15 10:15:43 [INFO] [TRAIN] epoch=8, iter=2710/80000, loss=0.4568, lr=0.009695, batch_cost=0.8128, reader_cost=0.0001 | ETA 17:26:59 2020-12-15 10:15:51 [INFO] [TRAIN] epoch=8, iter=2720/80000, loss=0.4801, lr=0.009694, batch_cost=0.8015, reader_cost=0.0001 | ETA 17:12:17 2020-12-15 10:15:59 [INFO] [TRAIN] epoch=8, iter=2730/80000, loss=0.7422, lr=0.009692, batch_cost=0.7968, reader_cost=0.0001 | ETA 17:06:10 2020-12-15 10:16:07 [INFO] [TRAIN] epoch=8, iter=2740/80000, loss=0.5043, lr=0.009691, batch_cost=0.7995, reader_cost=0.0001 | ETA 17:09:32 2020-12-15 10:16:15 [INFO] [TRAIN] epoch=8, iter=2750/80000, loss=0.4293, lr=0.009690, batch_cost=0.8037, reader_cost=0.0001 | ETA 17:14:46 2020-12-15 10:16:23 [INFO] [TRAIN] epoch=8, iter=2760/80000, loss=0.4394, lr=0.009689, batch_cost=0.7968, reader_cost=0.0001 | ETA 17:05:41 2020-12-15 10:16:31 [INFO] [TRAIN] epoch=8, iter=2770/80000, loss=0.3489, lr=0.009688, batch_cost=0.7941, reader_cost=0.0001 | ETA 17:02:06 2020-12-15 10:16:39 [INFO] [TRAIN] epoch=8, iter=2780/80000, loss=0.4427, lr=0.009687, batch_cost=0.8017, reader_cost=0.0001 | ETA 17:11:48 2020-12-15 10:16:47 [INFO] [TRAIN] epoch=8, iter=2790/80000, loss=0.3586, lr=0.009686, batch_cost=0.8044, reader_cost=0.0001 | ETA 17:15:08 2020-12-15 10:16:55 [INFO] [TRAIN] epoch=8, iter=2800/80000, loss=0.4172, lr=0.009685, batch_cost=0.8080, reader_cost=0.0001 | ETA 17:19:37 2020-12-15 10:17:03 [INFO] [TRAIN] epoch=8, iter=2810/80000, loss=0.3065, lr=0.009683, batch_cost=0.8128, reader_cost=0.0001 | ETA 17:25:36 2020-12-15 10:17:11 [INFO] [TRAIN] epoch=8, iter=2820/80000, loss=0.6445, lr=0.009682, batch_cost=0.7957, reader_cost=0.0001 | ETA 17:03:34 2020-12-15 10:17:19 [INFO] [TRAIN] epoch=8, iter=2830/80000, loss=0.4327, lr=0.009681, batch_cost=0.7937, reader_cost=0.0001 | ETA 17:00:47 2020-12-15 10:17:27 [INFO] [TRAIN] epoch=8, iter=2840/80000, loss=0.4389, lr=0.009680, batch_cost=0.7965, reader_cost=0.0001 | ETA 17:04:20 2020-12-15 10:17:35 [INFO] [TRAIN] epoch=8, iter=2850/80000, loss=0.2844, lr=0.009679, batch_cost=0.7974, reader_cost=0.0001 | ETA 17:05:22 2020-12-15 10:17:43 [INFO] [TRAIN] epoch=8, iter=2860/80000, loss=0.3506, lr=0.009678, batch_cost=0.7938, reader_cost=0.0001 | ETA 17:00:35 2020-12-15 10:17:51 [INFO] [TRAIN] epoch=8, iter=2870/80000, loss=0.4298, lr=0.009677, batch_cost=0.7978, reader_cost=0.0000 | ETA 17:05:36 2020-12-15 10:17:59 [INFO] [TRAIN] epoch=8, iter=2880/80000, loss=0.3777, lr=0.009676, batch_cost=0.7942, reader_cost=0.0001 | ETA 17:00:45 2020-12-15 10:18:06 [INFO] [TRAIN] epoch=8, iter=2890/80000, loss=0.3489, lr=0.009674, batch_cost=0.7947, reader_cost=0.0001 | ETA 17:01:16 2020-12-15 10:18:15 [INFO] [TRAIN] epoch=8, iter=2900/80000, loss=0.2968, lr=0.009673, batch_cost=0.8115, reader_cost=0.0001 | ETA 17:22:50 2020-12-15 10:18:23 [INFO] [TRAIN] epoch=8, iter=2910/80000, loss=0.2282, lr=0.009672, batch_cost=0.8052, reader_cost=0.0001 | ETA 17:14:31 2020-12-15 10:18:31 [INFO] [TRAIN] epoch=8, iter=2920/80000, loss=0.3977, lr=0.009671, batch_cost=0.8009, reader_cost=0.0001 | ETA 17:08:54 2020-12-15 10:18:39 [INFO] [TRAIN] epoch=8, iter=2930/80000, loss=0.3236, lr=0.009670, batch_cost=0.7999, reader_cost=0.0001 | ETA 17:07:24 2020-12-15 10:18:47 [INFO] [TRAIN] epoch=8, iter=2940/80000, loss=0.4820, lr=0.009669, batch_cost=0.8055, reader_cost=0.0001 | ETA 17:14:31 2020-12-15 10:18:55 [INFO] [TRAIN] epoch=8, iter=2950/80000, loss=0.5561, lr=0.009668, batch_cost=0.7955, reader_cost=0.0000 | ETA 17:01:35 2020-12-15 10:19:03 [INFO] [TRAIN] epoch=8, iter=2960/80000, loss=0.3296, lr=0.009666, batch_cost=0.7931, reader_cost=0.0000 | ETA 16:58:17 2020-12-15 10:19:10 [INFO] [TRAIN] epoch=8, iter=2970/80000, loss=0.2914, lr=0.009665, batch_cost=0.7927, reader_cost=0.0001 | ETA 16:57:38 2020-12-15 10:19:19 [INFO] [TRAIN] epoch=9, iter=2980/80000, loss=0.3064, lr=0.009664, batch_cost=0.8781, reader_cost=0.0685 | ETA 18:47:09 2020-12-15 10:19:27 [INFO] [TRAIN] epoch=9, iter=2990/80000, loss=0.2971, lr=0.009663, batch_cost=0.8028, reader_cost=0.0000 | ETA 17:10:21 2020-12-15 10:19:35 [INFO] [TRAIN] epoch=9, iter=3000/80000, loss=0.5476, lr=0.009662, batch_cost=0.7842, reader_cost=0.0000 | ETA 16:46:22 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 10:19:35 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 10:20:25 [INFO] [EVAL] #Images=500 mIoU=0.5139 Acc=0.9198 Kappa=0.8955 2020-12-15 10:20:25 [INFO] [EVAL] Class IoU: [0.9514 0.6981 0.8566 0.1919 0.2839 0.4247 0.4358 0.6154 0.8805 0.4535 0.8973 0.6756 0.1999 0.8716 0.0971 0.3539 0.0071 0.2451 0.6241] 2020-12-15 10:20:25 [INFO] [EVAL] Class Acc: [0.9733 0.8423 0.8992 0.4841 0.5813 0.7624 0.7705 0.8493 0.9255 0.8208 0.9254 0.7668 0.7231 0.9045 0.5729 0.599 0.3607 0.5546 0.6886] 2020-12-15 10:20:34 [INFO] [EVAL] The model with the best validation mIoU (0.5139) was saved at iter 3000. 2020-12-15 10:20:42 [INFO] [TRAIN] epoch=9, iter=3010/80000, loss=0.5816, lr=0.009661, batch_cost=0.7935, reader_cost=0.0001 | ETA 16:58:09 2020-12-15 10:20:50 [INFO] [TRAIN] epoch=9, iter=3020/80000, loss=0.3610, lr=0.009660, batch_cost=0.8023, reader_cost=0.0001 | ETA 17:09:22 2020-12-15 10:20:58 [INFO] [TRAIN] epoch=9, iter=3030/80000, loss=0.4445, lr=0.009659, batch_cost=0.8160, reader_cost=0.0001 | ETA 17:26:47 2020-12-15 10:21:06 [INFO] [TRAIN] epoch=9, iter=3040/80000, loss=0.3255, lr=0.009657, batch_cost=0.8043, reader_cost=0.0001 | ETA 17:11:41 2020-12-15 10:21:14 [INFO] [TRAIN] epoch=9, iter=3050/80000, loss=0.6055, lr=0.009656, batch_cost=0.7947, reader_cost=0.0001 | ETA 16:59:09 2020-12-15 10:21:22 [INFO] [TRAIN] epoch=9, iter=3060/80000, loss=0.2957, lr=0.009655, batch_cost=0.8091, reader_cost=0.0001 | ETA 17:17:30 2020-12-15 10:21:30 [INFO] [TRAIN] epoch=9, iter=3070/80000, loss=0.4206, lr=0.009654, batch_cost=0.7951, reader_cost=0.0001 | ETA 16:59:28 2020-12-15 10:21:38 [INFO] [TRAIN] epoch=9, iter=3080/80000, loss=0.4246, lr=0.009653, batch_cost=0.8090, reader_cost=0.0001 | ETA 17:17:07 2020-12-15 10:21:46 [INFO] [TRAIN] epoch=9, iter=3090/80000, loss=0.3578, lr=0.009652, batch_cost=0.7910, reader_cost=0.0001 | ETA 16:53:54 2020-12-15 10:21:54 [INFO] [TRAIN] epoch=9, iter=3100/80000, loss=0.2984, lr=0.009651, batch_cost=0.7960, reader_cost=0.0001 | ETA 17:00:08 2020-12-15 10:22:02 [INFO] [TRAIN] epoch=9, iter=3110/80000, loss=0.3663, lr=0.009650, batch_cost=0.8038, reader_cost=0.0000 | ETA 17:10:02 2020-12-15 10:22:10 [INFO] [TRAIN] epoch=9, iter=3120/80000, loss=0.4595, lr=0.009648, batch_cost=0.7965, reader_cost=0.0000 | ETA 17:00:35 2020-12-15 10:22:18 [INFO] [TRAIN] epoch=9, iter=3130/80000, loss=0.5323, lr=0.009647, batch_cost=0.7879, reader_cost=0.0001 | ETA 16:49:22 2020-12-15 10:22:26 [INFO] [TRAIN] epoch=9, iter=3140/80000, loss=0.4569, lr=0.009646, batch_cost=0.7953, reader_cost=0.0001 | ETA 16:58:47 2020-12-15 10:22:34 [INFO] [TRAIN] epoch=9, iter=3150/80000, loss=0.4449, lr=0.009645, batch_cost=0.8104, reader_cost=0.0001 | ETA 17:17:58 2020-12-15 10:22:42 [INFO] [TRAIN] epoch=9, iter=3160/80000, loss=0.4089, lr=0.009644, batch_cost=0.8063, reader_cost=0.0001 | ETA 17:12:35 2020-12-15 10:22:50 [INFO] [TRAIN] epoch=9, iter=3170/80000, loss=0.5176, lr=0.009643, batch_cost=0.8015, reader_cost=0.0001 | ETA 17:06:21 2020-12-15 10:22:58 [INFO] [TRAIN] epoch=9, iter=3180/80000, loss=0.2792, lr=0.009642, batch_cost=0.8075, reader_cost=0.0001 | ETA 17:13:53 2020-12-15 10:23:06 [INFO] [TRAIN] epoch=9, iter=3190/80000, loss=0.4726, lr=0.009641, batch_cost=0.7915, reader_cost=0.0001 | ETA 16:53:13 2020-12-15 10:23:14 [INFO] [TRAIN] epoch=9, iter=3200/80000, loss=0.3184, lr=0.009639, batch_cost=0.7993, reader_cost=0.0001 | ETA 17:03:08 2020-12-15 10:23:22 [INFO] [TRAIN] epoch=9, iter=3210/80000, loss=0.2152, lr=0.009638, batch_cost=0.7977, reader_cost=0.0001 | ETA 17:00:55 2020-12-15 10:23:30 [INFO] [TRAIN] epoch=9, iter=3220/80000, loss=0.3382, lr=0.009637, batch_cost=0.8052, reader_cost=0.0001 | ETA 17:10:24 2020-12-15 10:23:38 [INFO] [TRAIN] epoch=9, iter=3230/80000, loss=0.4708, lr=0.009636, batch_cost=0.8055, reader_cost=0.0001 | ETA 17:10:42 2020-12-15 10:23:46 [INFO] [TRAIN] epoch=9, iter=3240/80000, loss=0.5633, lr=0.009635, batch_cost=0.7948, reader_cost=0.0001 | ETA 16:56:50 2020-12-15 10:23:54 [INFO] [TRAIN] epoch=9, iter=3250/80000, loss=0.3522, lr=0.009634, batch_cost=0.7929, reader_cost=0.0001 | ETA 16:54:11 2020-12-15 10:24:02 [INFO] [TRAIN] epoch=9, iter=3260/80000, loss=0.3025, lr=0.009633, batch_cost=0.8049, reader_cost=0.0001 | ETA 17:09:27 2020-12-15 10:24:10 [INFO] [TRAIN] epoch=9, iter=3270/80000, loss=0.3182, lr=0.009631, batch_cost=0.7965, reader_cost=0.0001 | ETA 16:58:38 2020-12-15 10:24:18 [INFO] [TRAIN] epoch=9, iter=3280/80000, loss=0.3992, lr=0.009630, batch_cost=0.7956, reader_cost=0.0000 | ETA 16:57:20 2020-12-15 10:24:26 [INFO] [TRAIN] epoch=9, iter=3290/80000, loss=0.3496, lr=0.009629, batch_cost=0.8089, reader_cost=0.0001 | ETA 17:14:10 2020-12-15 10:24:34 [INFO] [TRAIN] epoch=9, iter=3300/80000, loss=0.3769, lr=0.009628, batch_cost=0.7893, reader_cost=0.0001 | ETA 16:49:02 2020-12-15 10:24:42 [INFO] [TRAIN] epoch=9, iter=3310/80000, loss=0.3193, lr=0.009627, batch_cost=0.7850, reader_cost=0.0001 | ETA 16:43:19 2020-12-15 10:24:50 [INFO] [TRAIN] epoch=9, iter=3320/80000, loss=0.4259, lr=0.009626, batch_cost=0.8092, reader_cost=0.0001 | ETA 17:14:07 2020-12-15 10:24:57 [INFO] [TRAIN] epoch=9, iter=3330/80000, loss=0.3741, lr=0.009625, batch_cost=0.7839, reader_cost=0.0001 | ETA 16:41:42 2020-12-15 10:25:05 [INFO] [TRAIN] epoch=9, iter=3340/80000, loss=0.3143, lr=0.009624, batch_cost=0.7990, reader_cost=0.0001 | ETA 17:00:48 2020-12-15 10:25:14 [INFO] [TRAIN] epoch=10, iter=3350/80000, loss=0.2615, lr=0.009622, batch_cost=0.8623, reader_cost=0.0548 | ETA 18:21:35 2020-12-15 10:25:22 [INFO] [TRAIN] epoch=10, iter=3360/80000, loss=0.4534, lr=0.009621, batch_cost=0.8346, reader_cost=0.0001 | ETA 17:46:06 2020-12-15 10:25:31 [INFO] [TRAIN] epoch=10, iter=3370/80000, loss=0.3195, lr=0.009620, batch_cost=0.8120, reader_cost=0.0001 | ETA 17:17:03 2020-12-15 10:25:39 [INFO] [TRAIN] epoch=10, iter=3380/80000, loss=0.3137, lr=0.009619, batch_cost=0.8093, reader_cost=0.0001 | ETA 17:13:27 2020-12-15 10:25:47 [INFO] [TRAIN] epoch=10, iter=3390/80000, loss=0.3116, lr=0.009618, batch_cost=0.8079, reader_cost=0.0001 | ETA 17:11:30 2020-12-15 10:25:55 [INFO] [TRAIN] epoch=10, iter=3400/80000, loss=0.2588, lr=0.009617, batch_cost=0.7974, reader_cost=0.0001 | ETA 16:58:02 2020-12-15 10:26:03 [INFO] [TRAIN] epoch=10, iter=3410/80000, loss=0.3691, lr=0.009616, batch_cost=0.8090, reader_cost=0.0001 | ETA 17:12:44 2020-12-15 10:26:11 [INFO] [TRAIN] epoch=10, iter=3420/80000, loss=0.3873, lr=0.009615, batch_cost=0.8040, reader_cost=0.0001 | ETA 17:06:12 2020-12-15 10:26:19 [INFO] [TRAIN] epoch=10, iter=3430/80000, loss=0.3943, lr=0.009613, batch_cost=0.8106, reader_cost=0.0001 | ETA 17:14:27 2020-12-15 10:26:27 [INFO] [TRAIN] epoch=10, iter=3440/80000, loss=0.3311, lr=0.009612, batch_cost=0.8164, reader_cost=0.0001 | ETA 17:21:46 2020-12-15 10:26:35 [INFO] [TRAIN] epoch=10, iter=3450/80000, loss=0.3873, lr=0.009611, batch_cost=0.8034, reader_cost=0.0001 | ETA 17:05:02 2020-12-15 10:26:43 [INFO] [TRAIN] epoch=10, iter=3460/80000, loss=0.3704, lr=0.009610, batch_cost=0.8054, reader_cost=0.0001 | ETA 17:07:28 2020-12-15 10:26:51 [INFO] [TRAIN] epoch=10, iter=3470/80000, loss=0.4119, lr=0.009609, batch_cost=0.8078, reader_cost=0.0001 | ETA 17:10:24 2020-12-15 10:26:59 [INFO] [TRAIN] epoch=10, iter=3480/80000, loss=0.3342, lr=0.009608, batch_cost=0.8003, reader_cost=0.0001 | ETA 17:00:40 2020-12-15 10:27:07 [INFO] [TRAIN] epoch=10, iter=3490/80000, loss=0.2633, lr=0.009607, batch_cost=0.7965, reader_cost=0.0001 | ETA 16:55:39 2020-12-15 10:27:15 [INFO] [TRAIN] epoch=10, iter=3500/80000, loss=0.3735, lr=0.009605, batch_cost=0.7879, reader_cost=0.0001 | ETA 16:44:32 2020-12-15 10:27:23 [INFO] [TRAIN] epoch=10, iter=3510/80000, loss=0.2510, lr=0.009604, batch_cost=0.7801, reader_cost=0.0001 | ETA 16:34:32 2020-12-15 10:27:31 [INFO] [TRAIN] epoch=10, iter=3520/80000, loss=0.5950, lr=0.009603, batch_cost=0.8011, reader_cost=0.0001 | ETA 17:01:10 2020-12-15 10:27:39 [INFO] [TRAIN] epoch=10, iter=3530/80000, loss=0.4572, lr=0.009602, batch_cost=0.7964, reader_cost=0.0001 | ETA 16:55:02 2020-12-15 10:27:47 [INFO] [TRAIN] epoch=10, iter=3540/80000, loss=0.2903, lr=0.009601, batch_cost=0.7946, reader_cost=0.0001 | ETA 16:52:38 2020-12-15 10:27:55 [INFO] [TRAIN] epoch=10, iter=3550/80000, loss=0.3490, lr=0.009600, batch_cost=0.7969, reader_cost=0.0001 | ETA 16:55:23 2020-12-15 10:28:03 [INFO] [TRAIN] epoch=10, iter=3560/80000, loss=0.3361, lr=0.009599, batch_cost=0.8073, reader_cost=0.0001 | ETA 17:08:31 2020-12-15 10:28:11 [INFO] [TRAIN] epoch=10, iter=3570/80000, loss=0.3919, lr=0.009598, batch_cost=0.7940, reader_cost=0.0001 | ETA 16:51:27 2020-12-15 10:28:19 [INFO] [TRAIN] epoch=10, iter=3580/80000, loss=0.3736, lr=0.009596, batch_cost=0.7860, reader_cost=0.0001 | ETA 16:41:07 2020-12-15 10:28:27 [INFO] [TRAIN] epoch=10, iter=3590/80000, loss=0.5969, lr=0.009595, batch_cost=0.7895, reader_cost=0.0000 | ETA 16:45:25 2020-12-15 10:28:35 [INFO] [TRAIN] epoch=10, iter=3600/80000, loss=0.3682, lr=0.009594, batch_cost=0.7990, reader_cost=0.0000 | ETA 16:57:20 2020-12-15 10:28:43 [INFO] [TRAIN] epoch=10, iter=3610/80000, loss=0.3242, lr=0.009593, batch_cost=0.8066, reader_cost=0.0001 | ETA 17:06:58 2020-12-15 10:28:51 [INFO] [TRAIN] epoch=10, iter=3620/80000, loss=0.4279, lr=0.009592, batch_cost=0.8031, reader_cost=0.0000 | ETA 17:02:21 2020-12-15 10:28:59 [INFO] [TRAIN] epoch=10, iter=3630/80000, loss=0.4500, lr=0.009591, batch_cost=0.8006, reader_cost=0.0001 | ETA 16:58:58 2020-12-15 10:29:07 [INFO] [TRAIN] epoch=10, iter=3640/80000, loss=0.3070, lr=0.009590, batch_cost=0.7856, reader_cost=0.0001 | ETA 16:39:50 2020-12-15 10:29:14 [INFO] [TRAIN] epoch=10, iter=3650/80000, loss=0.3000, lr=0.009589, batch_cost=0.7924, reader_cost=0.0001 | ETA 16:48:16 2020-12-15 10:29:23 [INFO] [TRAIN] epoch=10, iter=3660/80000, loss=0.3447, lr=0.009587, batch_cost=0.8052, reader_cost=0.0001 | ETA 17:04:32 2020-12-15 10:29:30 [INFO] [TRAIN] epoch=10, iter=3670/80000, loss=0.4834, lr=0.009586, batch_cost=0.7893, reader_cost=0.0001 | ETA 16:44:06 2020-12-15 10:29:38 [INFO] [TRAIN] epoch=10, iter=3680/80000, loss=0.3689, lr=0.009585, batch_cost=0.8008, reader_cost=0.0001 | ETA 16:58:33 2020-12-15 10:29:46 [INFO] [TRAIN] epoch=10, iter=3690/80000, loss=0.4577, lr=0.009584, batch_cost=0.7976, reader_cost=0.0001 | ETA 16:54:28 2020-12-15 10:29:54 [INFO] [TRAIN] epoch=10, iter=3700/80000, loss=0.2874, lr=0.009583, batch_cost=0.8074, reader_cost=0.0001 | ETA 17:06:40 2020-12-15 10:30:03 [INFO] [TRAIN] epoch=10, iter=3710/80000, loss=0.4693, lr=0.009582, batch_cost=0.8192, reader_cost=0.0001 | ETA 17:21:37 2020-12-15 10:30:10 [INFO] [TRAIN] epoch=10, iter=3720/80000, loss=0.2682, lr=0.009581, batch_cost=0.7661, reader_cost=0.0001 | ETA 16:13:55 2020-12-15 10:30:20 [INFO] [TRAIN] epoch=11, iter=3730/80000, loss=0.3845, lr=0.009579, batch_cost=0.9409, reader_cost=0.0607 | ETA 19:56:05 2020-12-15 10:30:28 [INFO] [TRAIN] epoch=11, iter=3740/80000, loss=0.3351, lr=0.009578, batch_cost=0.8153, reader_cost=0.0001 | ETA 17:16:15 2020-12-15 10:30:36 [INFO] [TRAIN] epoch=11, iter=3750/80000, loss=0.4481, lr=0.009577, batch_cost=0.7906, reader_cost=0.0000 | ETA 16:44:42 2020-12-15 10:30:44 [INFO] [TRAIN] epoch=11, iter=3760/80000, loss=0.3351, lr=0.009576, batch_cost=0.8015, reader_cost=0.0001 | ETA 16:58:28 2020-12-15 10:30:52 [INFO] [TRAIN] epoch=11, iter=3770/80000, loss=0.3215, lr=0.009575, batch_cost=0.8015, reader_cost=0.0001 | ETA 16:58:20 2020-12-15 10:31:00 [INFO] [TRAIN] epoch=11, iter=3780/80000, loss=0.3223, lr=0.009574, batch_cost=0.7992, reader_cost=0.0001 | ETA 16:55:16 2020-12-15 10:31:08 [INFO] [TRAIN] epoch=11, iter=3790/80000, loss=0.4842, lr=0.009573, batch_cost=0.7883, reader_cost=0.0001 | ETA 16:41:14 2020-12-15 10:31:16 [INFO] [TRAIN] epoch=11, iter=3800/80000, loss=0.6842, lr=0.009572, batch_cost=0.8070, reader_cost=0.0001 | ETA 17:04:54 2020-12-15 10:31:24 [INFO] [TRAIN] epoch=11, iter=3810/80000, loss=0.4370, lr=0.009570, batch_cost=0.7952, reader_cost=0.0001 | ETA 16:49:44 2020-12-15 10:31:32 [INFO] [TRAIN] epoch=11, iter=3820/80000, loss=0.4592, lr=0.009569, batch_cost=0.7994, reader_cost=0.0001 | ETA 16:55:00 2020-12-15 10:31:40 [INFO] [TRAIN] epoch=11, iter=3830/80000, loss=0.3109, lr=0.009568, batch_cost=0.7982, reader_cost=0.0001 | ETA 16:53:20 2020-12-15 10:31:48 [INFO] [TRAIN] epoch=11, iter=3840/80000, loss=0.4350, lr=0.009567, batch_cost=0.8021, reader_cost=0.0001 | ETA 16:58:08 2020-12-15 10:31:56 [INFO] [TRAIN] epoch=11, iter=3850/80000, loss=0.3983, lr=0.009566, batch_cost=0.7906, reader_cost=0.0001 | ETA 16:43:22 2020-12-15 10:32:04 [INFO] [TRAIN] epoch=11, iter=3860/80000, loss=0.4696, lr=0.009565, batch_cost=0.7928, reader_cost=0.0001 | ETA 16:46:07 2020-12-15 10:32:12 [INFO] [TRAIN] epoch=11, iter=3870/80000, loss=0.5164, lr=0.009564, batch_cost=0.8657, reader_cost=0.0001 | ETA 18:18:22 2020-12-15 10:32:20 [INFO] [TRAIN] epoch=11, iter=3880/80000, loss=0.3593, lr=0.009563, batch_cost=0.7992, reader_cost=0.0001 | ETA 16:53:54 2020-12-15 10:32:28 [INFO] [TRAIN] epoch=11, iter=3890/80000, loss=0.3577, lr=0.009561, batch_cost=0.7907, reader_cost=0.0001 | ETA 16:43:02 2020-12-15 10:32:36 [INFO] [TRAIN] epoch=11, iter=3900/80000, loss=0.4038, lr=0.009560, batch_cost=0.7891, reader_cost=0.0001 | ETA 16:40:47 2020-12-15 10:32:44 [INFO] [TRAIN] epoch=11, iter=3910/80000, loss=0.4654, lr=0.009559, batch_cost=0.8191, reader_cost=0.0001 | ETA 17:18:44 2020-12-15 10:32:52 [INFO] [TRAIN] epoch=11, iter=3920/80000, loss=0.3293, lr=0.009558, batch_cost=0.8102, reader_cost=0.0001 | ETA 17:07:19 2020-12-15 10:33:00 [INFO] [TRAIN] epoch=11, iter=3930/80000, loss=0.3677, lr=0.009557, batch_cost=0.7961, reader_cost=0.0000 | ETA 16:49:17 2020-12-15 10:33:08 [INFO] [TRAIN] epoch=11, iter=3940/80000, loss=0.3380, lr=0.009556, batch_cost=0.7927, reader_cost=0.0001 | ETA 16:44:51 2020-12-15 10:33:16 [INFO] [TRAIN] epoch=11, iter=3950/80000, loss=0.3739, lr=0.009555, batch_cost=0.7953, reader_cost=0.0001 | ETA 16:48:06 2020-12-15 10:33:24 [INFO] [TRAIN] epoch=11, iter=3960/80000, loss=0.3709, lr=0.009553, batch_cost=0.7866, reader_cost=0.0001 | ETA 16:36:56 2020-12-15 10:33:32 [INFO] [TRAIN] epoch=11, iter=3970/80000, loss=0.2794, lr=0.009552, batch_cost=0.8056, reader_cost=0.0001 | ETA 17:00:46 2020-12-15 10:33:40 [INFO] [TRAIN] epoch=11, iter=3980/80000, loss=1.1232, lr=0.009551, batch_cost=0.7940, reader_cost=0.0001 | ETA 16:45:57 2020-12-15 10:33:48 [INFO] [TRAIN] epoch=11, iter=3990/80000, loss=0.3593, lr=0.009550, batch_cost=0.8013, reader_cost=0.0001 | ETA 16:55:04 2020-12-15 10:33:56 [INFO] [TRAIN] epoch=11, iter=4000/80000, loss=0.4216, lr=0.009549, batch_cost=0.7879, reader_cost=0.0000 | ETA 16:37:59 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 10:33:56 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 10:34:46 [INFO] [EVAL] #Images=500 mIoU=0.5726 Acc=0.9295 Kappa=0.9084 2020-12-15 10:34:46 [INFO] [EVAL] Class IoU: [0.9638 0.7487 0.874 0.268 0.3786 0.463 0.5085 0.6348 0.8918 0.5391 0.8927 0.6921 0.4007 0.8791 0.1817 0.3801 0.2557 0.3158 0.6122] 2020-12-15 10:34:46 [INFO] [EVAL] Class Acc: [0.9802 0.8591 0.9169 0.7271 0.6587 0.7356 0.6964 0.8322 0.9504 0.6982 0.9113 0.7705 0.572 0.9177 0.6183 0.5795 0.6781 0.5078 0.6797] 2020-12-15 10:34:54 [INFO] [EVAL] The model with the best validation mIoU (0.5726) was saved at iter 4000. 2020-12-15 10:35:02 [INFO] [TRAIN] epoch=11, iter=4010/80000, loss=0.4163, lr=0.009548, batch_cost=0.7904, reader_cost=0.0001 | ETA 16:41:05 2020-12-15 10:35:10 [INFO] [TRAIN] epoch=11, iter=4020/80000, loss=0.5408, lr=0.009547, batch_cost=0.8064, reader_cost=0.0001 | ETA 17:01:13 2020-12-15 10:35:18 [INFO] [TRAIN] epoch=11, iter=4030/80000, loss=0.6265, lr=0.009546, batch_cost=0.7902, reader_cost=0.0001 | ETA 16:40:30 2020-12-15 10:35:26 [INFO] [TRAIN] epoch=11, iter=4040/80000, loss=0.3422, lr=0.009544, batch_cost=0.7942, reader_cost=0.0001 | ETA 16:45:30 2020-12-15 10:35:34 [INFO] [TRAIN] epoch=11, iter=4050/80000, loss=0.3157, lr=0.009543, batch_cost=0.7988, reader_cost=0.0001 | ETA 16:51:10 2020-12-15 10:35:42 [INFO] [TRAIN] epoch=11, iter=4060/80000, loss=0.5061, lr=0.009542, batch_cost=0.7837, reader_cost=0.0001 | ETA 16:31:57 2020-12-15 10:35:50 [INFO] [TRAIN] epoch=11, iter=4070/80000, loss=0.3508, lr=0.009541, batch_cost=0.8065, reader_cost=0.0001 | ETA 17:00:34 2020-12-15 10:35:58 [INFO] [TRAIN] epoch=11, iter=4080/80000, loss=0.3008, lr=0.009540, batch_cost=0.7941, reader_cost=0.0001 | ETA 16:44:45 2020-12-15 10:36:06 [INFO] [TRAIN] epoch=11, iter=4090/80000, loss=0.3569, lr=0.009539, batch_cost=0.7815, reader_cost=0.0001 | ETA 16:28:44 2020-12-15 10:36:15 [INFO] [TRAIN] epoch=12, iter=4100/80000, loss=0.5216, lr=0.009538, batch_cost=0.8986, reader_cost=0.0619 | ETA 18:56:46 2020-12-15 10:36:23 [INFO] [TRAIN] epoch=12, iter=4110/80000, loss=0.3285, lr=0.009537, batch_cost=0.7988, reader_cost=0.0001 | ETA 16:50:22 2020-12-15 10:36:31 [INFO] [TRAIN] epoch=12, iter=4120/80000, loss=0.9089, lr=0.009535, batch_cost=0.7960, reader_cost=0.0001 | ETA 16:46:42 2020-12-15 10:36:39 [INFO] [TRAIN] epoch=12, iter=4130/80000, loss=0.4631, lr=0.009534, batch_cost=0.8035, reader_cost=0.0001 | ETA 16:56:02 2020-12-15 10:36:47 [INFO] [TRAIN] epoch=12, iter=4140/80000, loss=0.4027, lr=0.009533, batch_cost=0.8002, reader_cost=0.0001 | ETA 16:51:45 2020-12-15 10:36:55 [INFO] [TRAIN] epoch=12, iter=4150/80000, loss=0.5725, lr=0.009532, batch_cost=0.7963, reader_cost=0.0001 | ETA 16:46:37 2020-12-15 10:37:03 [INFO] [TRAIN] epoch=12, iter=4160/80000, loss=0.4516, lr=0.009531, batch_cost=0.7922, reader_cost=0.0001 | ETA 16:41:18 2020-12-15 10:37:11 [INFO] [TRAIN] epoch=12, iter=4170/80000, loss=0.4373, lr=0.009530, batch_cost=0.8092, reader_cost=0.0001 | ETA 17:02:43 2020-12-15 10:37:19 [INFO] [TRAIN] epoch=12, iter=4180/80000, loss=0.3802, lr=0.009529, batch_cost=0.7979, reader_cost=0.0001 | ETA 16:48:18 2020-12-15 10:37:27 [INFO] [TRAIN] epoch=12, iter=4190/80000, loss=0.4577, lr=0.009527, batch_cost=0.7897, reader_cost=0.0000 | ETA 16:37:49 2020-12-15 10:37:35 [INFO] [TRAIN] epoch=12, iter=4200/80000, loss=0.5004, lr=0.009526, batch_cost=0.7906, reader_cost=0.0001 | ETA 16:38:50 2020-12-15 10:37:43 [INFO] [TRAIN] epoch=12, iter=4210/80000, loss=0.5038, lr=0.009525, batch_cost=0.7965, reader_cost=0.0001 | ETA 16:46:05 2020-12-15 10:37:51 [INFO] [TRAIN] epoch=12, iter=4220/80000, loss=0.3929, lr=0.009524, batch_cost=0.7980, reader_cost=0.0001 | ETA 16:47:50 2020-12-15 10:37:59 [INFO] [TRAIN] epoch=12, iter=4230/80000, loss=0.2551, lr=0.009523, batch_cost=0.8033, reader_cost=0.0001 | ETA 16:54:24 2020-12-15 10:38:07 [INFO] [TRAIN] epoch=12, iter=4240/80000, loss=0.4073, lr=0.009522, batch_cost=0.7960, reader_cost=0.0001 | ETA 16:45:08 2020-12-15 10:38:15 [INFO] [TRAIN] epoch=12, iter=4250/80000, loss=0.4814, lr=0.009521, batch_cost=0.8097, reader_cost=0.0001 | ETA 17:02:16 2020-12-15 10:38:23 [INFO] [TRAIN] epoch=12, iter=4260/80000, loss=0.3867, lr=0.009520, batch_cost=0.7908, reader_cost=0.0001 | ETA 16:38:13 2020-12-15 10:38:31 [INFO] [TRAIN] epoch=12, iter=4270/80000, loss=0.4400, lr=0.009518, batch_cost=0.8044, reader_cost=0.0001 | ETA 16:55:18 2020-12-15 10:38:39 [INFO] [TRAIN] epoch=12, iter=4280/80000, loss=0.3298, lr=0.009517, batch_cost=0.8073, reader_cost=0.0001 | ETA 16:58:49 2020-12-15 10:38:47 [INFO] [TRAIN] epoch=12, iter=4290/80000, loss=0.3720, lr=0.009516, batch_cost=0.8033, reader_cost=0.0001 | ETA 16:53:37 2020-12-15 10:38:55 [INFO] [TRAIN] epoch=12, iter=4300/80000, loss=0.4037, lr=0.009515, batch_cost=0.7951, reader_cost=0.0001 | ETA 16:43:08 2020-12-15 10:39:03 [INFO] [TRAIN] epoch=12, iter=4310/80000, loss=0.3882, lr=0.009514, batch_cost=0.7859, reader_cost=0.0000 | ETA 16:31:27 2020-12-15 10:39:11 [INFO] [TRAIN] epoch=12, iter=4320/80000, loss=0.2902, lr=0.009513, batch_cost=0.7894, reader_cost=0.0000 | ETA 16:35:44 2020-12-15 10:39:18 [INFO] [TRAIN] epoch=12, iter=4330/80000, loss=0.3228, lr=0.009512, batch_cost=0.7741, reader_cost=0.0000 | ETA 16:16:17 2020-12-15 10:39:26 [INFO] [TRAIN] epoch=12, iter=4340/80000, loss=0.3532, lr=0.009511, batch_cost=0.7878, reader_cost=0.0001 | ETA 16:33:25 2020-12-15 10:39:34 [INFO] [TRAIN] epoch=12, iter=4350/80000, loss=0.2525, lr=0.009509, batch_cost=0.8024, reader_cost=0.0001 | ETA 16:51:42 2020-12-15 10:39:42 [INFO] [TRAIN] epoch=12, iter=4360/80000, loss=0.2517, lr=0.009508, batch_cost=0.8062, reader_cost=0.0001 | ETA 16:56:23 2020-12-15 10:39:50 [INFO] [TRAIN] epoch=12, iter=4370/80000, loss=0.4777, lr=0.009507, batch_cost=0.7832, reader_cost=0.0001 | ETA 16:27:14 2020-12-15 10:39:58 [INFO] [TRAIN] epoch=12, iter=4380/80000, loss=0.2932, lr=0.009506, batch_cost=0.7977, reader_cost=0.0000 | ETA 16:45:22 2020-12-15 10:40:06 [INFO] [TRAIN] epoch=12, iter=4390/80000, loss=0.3319, lr=0.009505, batch_cost=0.7963, reader_cost=0.0001 | ETA 16:43:30 2020-12-15 10:40:14 [INFO] [TRAIN] epoch=12, iter=4400/80000, loss=0.2704, lr=0.009504, batch_cost=0.7922, reader_cost=0.0001 | ETA 16:38:06 2020-12-15 10:40:22 [INFO] [TRAIN] epoch=12, iter=4410/80000, loss=0.5771, lr=0.009503, batch_cost=0.8059, reader_cost=0.0001 | ETA 16:55:19 2020-12-15 10:40:30 [INFO] [TRAIN] epoch=12, iter=4420/80000, loss=0.4235, lr=0.009501, batch_cost=0.7934, reader_cost=0.0001 | ETA 16:39:24 2020-12-15 10:40:38 [INFO] [TRAIN] epoch=12, iter=4430/80000, loss=0.3412, lr=0.009500, batch_cost=0.7910, reader_cost=0.0001 | ETA 16:36:15 2020-12-15 10:40:46 [INFO] [TRAIN] epoch=12, iter=4440/80000, loss=0.5168, lr=0.009499, batch_cost=0.8094, reader_cost=0.0001 | ETA 16:59:14 2020-12-15 10:40:54 [INFO] [TRAIN] epoch=12, iter=4450/80000, loss=0.4452, lr=0.009498, batch_cost=0.7864, reader_cost=0.0000 | ETA 16:30:13 2020-12-15 10:41:02 [INFO] [TRAIN] epoch=12, iter=4460/80000, loss=0.8213, lr=0.009497, batch_cost=0.7997, reader_cost=0.0001 | ETA 16:46:47 2020-12-15 10:41:11 [INFO] [TRAIN] epoch=13, iter=4470/80000, loss=0.5496, lr=0.009496, batch_cost=0.8959, reader_cost=0.0586 | ETA 18:47:47 2020-12-15 10:41:19 [INFO] [TRAIN] epoch=13, iter=4480/80000, loss=0.6788, lr=0.009495, batch_cost=0.8236, reader_cost=0.0001 | ETA 17:16:35 2020-12-15 10:41:27 [INFO] [TRAIN] epoch=13, iter=4490/80000, loss=0.3712, lr=0.009494, batch_cost=0.7783, reader_cost=0.0001 | ETA 16:19:31 2020-12-15 10:41:35 [INFO] [TRAIN] epoch=13, iter=4500/80000, loss=0.3737, lr=0.009492, batch_cost=0.8126, reader_cost=0.0001 | ETA 17:02:31 2020-12-15 10:41:43 [INFO] [TRAIN] epoch=13, iter=4510/80000, loss=0.3580, lr=0.009491, batch_cost=0.7981, reader_cost=0.0001 | ETA 16:44:10 2020-12-15 10:41:51 [INFO] [TRAIN] epoch=13, iter=4520/80000, loss=0.3047, lr=0.009490, batch_cost=0.8014, reader_cost=0.0001 | ETA 16:48:11 2020-12-15 10:41:59 [INFO] [TRAIN] epoch=13, iter=4530/80000, loss=0.4224, lr=0.009489, batch_cost=0.7896, reader_cost=0.0001 | ETA 16:33:08 2020-12-15 10:42:07 [INFO] [TRAIN] epoch=13, iter=4540/80000, loss=0.3192, lr=0.009488, batch_cost=0.7811, reader_cost=0.0001 | ETA 16:22:24 2020-12-15 10:42:15 [INFO] [TRAIN] epoch=13, iter=4550/80000, loss=0.2928, lr=0.009487, batch_cost=0.8053, reader_cost=0.0000 | ETA 16:52:42 2020-12-15 10:42:23 [INFO] [TRAIN] epoch=13, iter=4560/80000, loss=0.2961, lr=0.009486, batch_cost=0.7906, reader_cost=0.0001 | ETA 16:34:00 2020-12-15 10:42:30 [INFO] [TRAIN] epoch=13, iter=4570/80000, loss=0.4894, lr=0.009484, batch_cost=0.7858, reader_cost=0.0001 | ETA 16:27:51 2020-12-15 10:42:38 [INFO] [TRAIN] epoch=13, iter=4580/80000, loss=0.4827, lr=0.009483, batch_cost=0.8095, reader_cost=0.0001 | ETA 16:57:32 2020-12-15 10:42:46 [INFO] [TRAIN] epoch=13, iter=4590/80000, loss=0.4704, lr=0.009482, batch_cost=0.7963, reader_cost=0.0001 | ETA 16:40:46 2020-12-15 10:42:55 [INFO] [TRAIN] epoch=13, iter=4600/80000, loss=0.4004, lr=0.009481, batch_cost=0.8089, reader_cost=0.0001 | ETA 16:56:27 2020-12-15 10:43:03 [INFO] [TRAIN] epoch=13, iter=4610/80000, loss=0.2854, lr=0.009480, batch_cost=0.7962, reader_cost=0.0000 | ETA 16:40:27 2020-12-15 10:43:10 [INFO] [TRAIN] epoch=13, iter=4620/80000, loss=0.2757, lr=0.009479, batch_cost=0.7893, reader_cost=0.0001 | ETA 16:31:36 2020-12-15 10:43:18 [INFO] [TRAIN] epoch=13, iter=4630/80000, loss=0.2467, lr=0.009478, batch_cost=0.7876, reader_cost=0.0000 | ETA 16:29:18 2020-12-15 10:43:26 [INFO] [TRAIN] epoch=13, iter=4640/80000, loss=0.2930, lr=0.009477, batch_cost=0.7975, reader_cost=0.0001 | ETA 16:41:41 2020-12-15 10:43:34 [INFO] [TRAIN] epoch=13, iter=4650/80000, loss=0.2257, lr=0.009475, batch_cost=0.8071, reader_cost=0.0001 | ETA 16:53:33 2020-12-15 10:43:42 [INFO] [TRAIN] epoch=13, iter=4660/80000, loss=0.2610, lr=0.009474, batch_cost=0.7895, reader_cost=0.0000 | ETA 16:31:20 2020-12-15 10:43:50 [INFO] [TRAIN] epoch=13, iter=4670/80000, loss=0.5531, lr=0.009473, batch_cost=0.7994, reader_cost=0.0000 | ETA 16:43:39 2020-12-15 10:43:58 [INFO] [TRAIN] epoch=13, iter=4680/80000, loss=0.3026, lr=0.009472, batch_cost=0.8027, reader_cost=0.0001 | ETA 16:47:35 2020-12-15 10:44:06 [INFO] [TRAIN] epoch=13, iter=4690/80000, loss=0.4344, lr=0.009471, batch_cost=0.7981, reader_cost=0.0001 | ETA 16:41:47 2020-12-15 10:44:14 [INFO] [TRAIN] epoch=13, iter=4700/80000, loss=0.2854, lr=0.009470, batch_cost=0.7941, reader_cost=0.0001 | ETA 16:36:32 2020-12-15 10:44:22 [INFO] [TRAIN] epoch=13, iter=4710/80000, loss=0.3797, lr=0.009469, batch_cost=0.8005, reader_cost=0.0000 | ETA 16:44:25 2020-12-15 10:44:30 [INFO] [TRAIN] epoch=13, iter=4720/80000, loss=0.4743, lr=0.009468, batch_cost=0.7983, reader_cost=0.0001 | ETA 16:41:36 2020-12-15 10:44:38 [INFO] [TRAIN] epoch=13, iter=4730/80000, loss=0.3099, lr=0.009466, batch_cost=0.7995, reader_cost=0.0001 | ETA 16:43:00 2020-12-15 10:44:46 [INFO] [TRAIN] epoch=13, iter=4740/80000, loss=0.4317, lr=0.009465, batch_cost=0.8027, reader_cost=0.0001 | ETA 16:46:50 2020-12-15 10:44:54 [INFO] [TRAIN] epoch=13, iter=4750/80000, loss=0.3253, lr=0.009464, batch_cost=0.8039, reader_cost=0.0001 | ETA 16:48:13 2020-12-15 10:45:02 [INFO] [TRAIN] epoch=13, iter=4760/80000, loss=0.4563, lr=0.009463, batch_cost=0.7988, reader_cost=0.0001 | ETA 16:41:42 2020-12-15 10:45:10 [INFO] [TRAIN] epoch=13, iter=4770/80000, loss=0.3470, lr=0.009462, batch_cost=0.8042, reader_cost=0.0001 | ETA 16:48:19 2020-12-15 10:45:18 [INFO] [TRAIN] epoch=13, iter=4780/80000, loss=0.2906, lr=0.009461, batch_cost=0.8019, reader_cost=0.0001 | ETA 16:45:19 2020-12-15 10:45:26 [INFO] [TRAIN] epoch=13, iter=4790/80000, loss=0.4235, lr=0.009460, batch_cost=0.7961, reader_cost=0.0001 | ETA 16:37:58 2020-12-15 10:45:34 [INFO] [TRAIN] epoch=13, iter=4800/80000, loss=0.3152, lr=0.009458, batch_cost=0.7877, reader_cost=0.0001 | ETA 16:27:13 2020-12-15 10:45:42 [INFO] [TRAIN] epoch=13, iter=4810/80000, loss=0.5201, lr=0.009457, batch_cost=0.8011, reader_cost=0.0000 | ETA 16:43:56 2020-12-15 10:45:50 [INFO] [TRAIN] epoch=13, iter=4820/80000, loss=0.3195, lr=0.009456, batch_cost=0.7941, reader_cost=0.0001 | ETA 16:35:02 2020-12-15 10:45:58 [INFO] [TRAIN] epoch=13, iter=4830/80000, loss=0.3312, lr=0.009455, batch_cost=0.7936, reader_cost=0.0001 | ETA 16:34:15 2020-12-15 10:46:07 [INFO] [TRAIN] epoch=14, iter=4840/80000, loss=0.3238, lr=0.009454, batch_cost=0.8730, reader_cost=0.0660 | ETA 18:13:35 2020-12-15 10:46:15 [INFO] [TRAIN] epoch=14, iter=4850/80000, loss=0.2670, lr=0.009453, batch_cost=0.8185, reader_cost=0.0001 | ETA 17:05:11 2020-12-15 10:46:23 [INFO] [TRAIN] epoch=14, iter=4860/80000, loss=0.3897, lr=0.009452, batch_cost=0.7913, reader_cost=0.0000 | ETA 16:30:55 2020-12-15 10:46:31 [INFO] [TRAIN] epoch=14, iter=4870/80000, loss=0.5027, lr=0.009451, batch_cost=0.8227, reader_cost=0.0001 | ETA 17:10:07 2020-12-15 10:46:39 [INFO] [TRAIN] epoch=14, iter=4880/80000, loss=0.4834, lr=0.009449, batch_cost=0.7978, reader_cost=0.0001 | ETA 16:38:52 2020-12-15 10:46:47 [INFO] [TRAIN] epoch=14, iter=4890/80000, loss=0.2801, lr=0.009448, batch_cost=0.7981, reader_cost=0.0000 | ETA 16:39:02 2020-12-15 10:46:55 [INFO] [TRAIN] epoch=14, iter=4900/80000, loss=0.2382, lr=0.009447, batch_cost=0.8135, reader_cost=0.0001 | ETA 16:58:12 2020-12-15 10:47:03 [INFO] [TRAIN] epoch=14, iter=4910/80000, loss=0.3362, lr=0.009446, batch_cost=0.8009, reader_cost=0.0001 | ETA 16:42:17 2020-12-15 10:47:11 [INFO] [TRAIN] epoch=14, iter=4920/80000, loss=0.4114, lr=0.009445, batch_cost=0.7952, reader_cost=0.0001 | ETA 16:35:01 2020-12-15 10:47:19 [INFO] [TRAIN] epoch=14, iter=4930/80000, loss=0.3084, lr=0.009444, batch_cost=0.7859, reader_cost=0.0001 | ETA 16:23:14 2020-12-15 10:47:27 [INFO] [TRAIN] epoch=14, iter=4940/80000, loss=0.4204, lr=0.009443, batch_cost=0.7869, reader_cost=0.0001 | ETA 16:24:26 2020-12-15 10:47:35 [INFO] [TRAIN] epoch=14, iter=4950/80000, loss=0.3180, lr=0.009441, batch_cost=0.8096, reader_cost=0.0001 | ETA 16:52:43 2020-12-15 10:47:43 [INFO] [TRAIN] epoch=14, iter=4960/80000, loss=0.4446, lr=0.009440, batch_cost=0.7904, reader_cost=0.0001 | ETA 16:28:34 2020-12-15 10:47:51 [INFO] [TRAIN] epoch=14, iter=4970/80000, loss=0.4657, lr=0.009439, batch_cost=0.7959, reader_cost=0.0001 | ETA 16:35:17 2020-12-15 10:47:59 [INFO] [TRAIN] epoch=14, iter=4980/80000, loss=0.3382, lr=0.009438, batch_cost=0.8105, reader_cost=0.0001 | ETA 16:53:25 2020-12-15 10:48:07 [INFO] [TRAIN] epoch=14, iter=4990/80000, loss=0.3414, lr=0.009437, batch_cost=0.7966, reader_cost=0.0001 | ETA 16:35:53 2020-12-15 10:48:15 [INFO] [TRAIN] epoch=14, iter=5000/80000, loss=0.4214, lr=0.009436, batch_cost=0.8165, reader_cost=0.0001 | ETA 17:00:38 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 10:48:15 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 10:49:05 [INFO] [EVAL] #Images=500 mIoU=0.5798 Acc=0.9342 Kappa=0.9144 2020-12-15 10:49:05 [INFO] [EVAL] Class IoU: [0.9683 0.7691 0.8803 0.2025 0.3933 0.515 0.5674 0.6943 0.8977 0.5557 0.9129 0.7269 0.3955 0.892 0.0406 0.4001 0.0889 0.4255 0.6903] 2020-12-15 10:49:05 [INFO] [EVAL] Class Acc: [0.9834 0.8748 0.9153 0.8368 0.6411 0.6795 0.691 0.8288 0.9552 0.7441 0.9316 0.8068 0.7275 0.9494 0.4799 0.4409 0.5679 0.7975 0.7857] 2020-12-15 10:49:14 [INFO] [EVAL] The model with the best validation mIoU (0.5798) was saved at iter 5000. 2020-12-15 10:49:22 [INFO] [TRAIN] epoch=14, iter=5010/80000, loss=0.3521, lr=0.009435, batch_cost=0.7943, reader_cost=0.0001 | ETA 16:32:42 2020-12-15 10:49:30 [INFO] [TRAIN] epoch=14, iter=5020/80000, loss=0.4279, lr=0.009434, batch_cost=0.8049, reader_cost=0.0000 | ETA 16:45:52 2020-12-15 10:49:38 [INFO] [TRAIN] epoch=14, iter=5030/80000, loss=0.2228, lr=0.009432, batch_cost=0.7974, reader_cost=0.0000 | ETA 16:36:21 2020-12-15 10:49:46 [INFO] [TRAIN] epoch=14, iter=5040/80000, loss=0.3856, lr=0.009431, batch_cost=0.7964, reader_cost=0.0001 | ETA 16:34:59 2020-12-15 10:49:54 [INFO] [TRAIN] epoch=14, iter=5050/80000, loss=0.4416, lr=0.009430, batch_cost=0.8078, reader_cost=0.0000 | ETA 16:49:06 2020-12-15 10:50:02 [INFO] [TRAIN] epoch=14, iter=5060/80000, loss=0.2522, lr=0.009429, batch_cost=0.8065, reader_cost=0.0001 | ETA 16:47:20 2020-12-15 10:50:10 [INFO] [TRAIN] epoch=14, iter=5070/80000, loss=0.2793, lr=0.009428, batch_cost=0.7932, reader_cost=0.0001 | ETA 16:30:35 2020-12-15 10:50:18 [INFO] [TRAIN] epoch=14, iter=5080/80000, loss=0.3655, lr=0.009427, batch_cost=0.7910, reader_cost=0.0001 | ETA 16:27:41 2020-12-15 10:50:26 [INFO] [TRAIN] epoch=14, iter=5090/80000, loss=0.5938, lr=0.009426, batch_cost=0.7993, reader_cost=0.0001 | ETA 16:37:55 2020-12-15 10:50:34 [INFO] [TRAIN] epoch=14, iter=5100/80000, loss=0.3753, lr=0.009424, batch_cost=0.7989, reader_cost=0.0001 | ETA 16:37:15 2020-12-15 10:50:41 [INFO] [TRAIN] epoch=14, iter=5110/80000, loss=0.2881, lr=0.009423, batch_cost=0.7909, reader_cost=0.0001 | ETA 16:27:09 2020-12-15 10:50:50 [INFO] [TRAIN] epoch=14, iter=5120/80000, loss=0.3131, lr=0.009422, batch_cost=0.8161, reader_cost=0.0001 | ETA 16:58:26 2020-12-15 10:50:58 [INFO] [TRAIN] epoch=14, iter=5130/80000, loss=0.3622, lr=0.009421, batch_cost=0.7936, reader_cost=0.0000 | ETA 16:30:18 2020-12-15 10:51:06 [INFO] [TRAIN] epoch=14, iter=5140/80000, loss=0.3200, lr=0.009420, batch_cost=0.7958, reader_cost=0.0000 | ETA 16:32:51 2020-12-15 10:51:13 [INFO] [TRAIN] epoch=14, iter=5150/80000, loss=0.3925, lr=0.009419, batch_cost=0.7931, reader_cost=0.0000 | ETA 16:29:25 2020-12-15 10:51:21 [INFO] [TRAIN] epoch=14, iter=5160/80000, loss=0.3794, lr=0.009418, batch_cost=0.7899, reader_cost=0.0001 | ETA 16:25:13 2020-12-15 10:51:29 [INFO] [TRAIN] epoch=14, iter=5170/80000, loss=0.3385, lr=0.009417, batch_cost=0.8064, reader_cost=0.0000 | ETA 16:45:44 2020-12-15 10:51:37 [INFO] [TRAIN] epoch=14, iter=5180/80000, loss=0.4181, lr=0.009415, batch_cost=0.7824, reader_cost=0.0000 | ETA 16:15:40 2020-12-15 10:51:45 [INFO] [TRAIN] epoch=14, iter=5190/80000, loss=0.3858, lr=0.009414, batch_cost=0.8017, reader_cost=0.0000 | ETA 16:39:36 2020-12-15 10:51:53 [INFO] [TRAIN] epoch=14, iter=5200/80000, loss=0.3245, lr=0.009413, batch_cost=0.7976, reader_cost=0.0001 | ETA 16:34:18 2020-12-15 10:52:02 [INFO] [TRAIN] epoch=15, iter=5210/80000, loss=0.2540, lr=0.009412, batch_cost=0.8535, reader_cost=0.0604 | ETA 17:43:56 2020-12-15 10:52:10 [INFO] [TRAIN] epoch=15, iter=5220/80000, loss=0.3207, lr=0.009411, batch_cost=0.8412, reader_cost=0.0001 | ETA 17:28:25 2020-12-15 10:52:18 [INFO] [TRAIN] epoch=15, iter=5230/80000, loss=0.2788, lr=0.009410, batch_cost=0.8023, reader_cost=0.0000 | ETA 16:39:49 2020-12-15 10:52:26 [INFO] [TRAIN] epoch=15, iter=5240/80000, loss=0.3547, lr=0.009409, batch_cost=0.8118, reader_cost=0.0000 | ETA 16:51:32 2020-12-15 10:52:34 [INFO] [TRAIN] epoch=15, iter=5250/80000, loss=0.3073, lr=0.009408, batch_cost=0.8042, reader_cost=0.0000 | ETA 16:41:52 2020-12-15 10:52:42 [INFO] [TRAIN] epoch=15, iter=5260/80000, loss=0.4476, lr=0.009406, batch_cost=0.7935, reader_cost=0.0000 | ETA 16:28:25 2020-12-15 10:52:50 [INFO] [TRAIN] epoch=15, iter=5270/80000, loss=0.3310, lr=0.009405, batch_cost=0.7882, reader_cost=0.0000 | ETA 16:21:44 2020-12-15 10:52:58 [INFO] [TRAIN] epoch=15, iter=5280/80000, loss=0.2083, lr=0.009404, batch_cost=0.8014, reader_cost=0.0000 | ETA 16:38:00 2020-12-15 10:53:06 [INFO] [TRAIN] epoch=15, iter=5290/80000, loss=0.3672, lr=0.009403, batch_cost=0.8141, reader_cost=0.0001 | ETA 16:53:39 2020-12-15 10:53:14 [INFO] [TRAIN] epoch=15, iter=5300/80000, loss=0.2904, lr=0.009402, batch_cost=0.7885, reader_cost=0.0001 | ETA 16:21:41 2020-12-15 10:53:22 [INFO] [TRAIN] epoch=15, iter=5310/80000, loss=0.3776, lr=0.009401, batch_cost=0.8089, reader_cost=0.0000 | ETA 16:46:55 2020-12-15 10:53:30 [INFO] [TRAIN] epoch=15, iter=5320/80000, loss=0.4011, lr=0.009400, batch_cost=0.8082, reader_cost=0.0000 | ETA 16:45:56 2020-12-15 10:53:38 [INFO] [TRAIN] epoch=15, iter=5330/80000, loss=0.4908, lr=0.009398, batch_cost=0.7963, reader_cost=0.0000 | ETA 16:31:01 2020-12-15 10:53:46 [INFO] [TRAIN] epoch=15, iter=5340/80000, loss=0.3753, lr=0.009397, batch_cost=0.8090, reader_cost=0.0001 | ETA 16:46:37 2020-12-15 10:53:54 [INFO] [TRAIN] epoch=15, iter=5350/80000, loss=0.3257, lr=0.009396, batch_cost=0.7985, reader_cost=0.0000 | ETA 16:33:27 2020-12-15 10:54:02 [INFO] [TRAIN] epoch=15, iter=5360/80000, loss=0.2695, lr=0.009395, batch_cost=0.7923, reader_cost=0.0000 | ETA 16:25:37 2020-12-15 10:54:10 [INFO] [TRAIN] epoch=15, iter=5370/80000, loss=0.4260, lr=0.009394, batch_cost=0.8043, reader_cost=0.0000 | ETA 16:40:25 2020-12-15 10:54:18 [INFO] [TRAIN] epoch=15, iter=5380/80000, loss=0.4334, lr=0.009393, batch_cost=0.7959, reader_cost=0.0000 | ETA 16:29:46 2020-12-15 10:54:26 [INFO] [TRAIN] epoch=15, iter=5390/80000, loss=0.3500, lr=0.009392, batch_cost=0.8031, reader_cost=0.0000 | ETA 16:38:41 2020-12-15 10:54:34 [INFO] [TRAIN] epoch=15, iter=5400/80000, loss=0.2627, lr=0.009391, batch_cost=0.7977, reader_cost=0.0001 | ETA 16:31:51 2020-12-15 10:54:42 [INFO] [TRAIN] epoch=15, iter=5410/80000, loss=0.2162, lr=0.009389, batch_cost=0.7964, reader_cost=0.0000 | ETA 16:30:02 2020-12-15 10:54:50 [INFO] [TRAIN] epoch=15, iter=5420/80000, loss=0.2722, lr=0.009388, batch_cost=0.8059, reader_cost=0.0000 | ETA 16:41:43 2020-12-15 10:54:59 [INFO] [TRAIN] epoch=15, iter=5430/80000, loss=0.3723, lr=0.009387, batch_cost=0.8145, reader_cost=0.0001 | ETA 16:52:17 2020-12-15 10:55:06 [INFO] [TRAIN] epoch=15, iter=5440/80000, loss=0.3489, lr=0.009386, batch_cost=0.7892, reader_cost=0.0001 | ETA 16:20:46 2020-12-15 10:55:14 [INFO] [TRAIN] epoch=15, iter=5450/80000, loss=0.2470, lr=0.009385, batch_cost=0.7895, reader_cost=0.0001 | ETA 16:20:54 2020-12-15 10:55:22 [INFO] [TRAIN] epoch=15, iter=5460/80000, loss=0.4051, lr=0.009384, batch_cost=0.8003, reader_cost=0.0001 | ETA 16:34:10 2020-12-15 10:55:30 [INFO] [TRAIN] epoch=15, iter=5470/80000, loss=0.3953, lr=0.009383, batch_cost=0.8018, reader_cost=0.0001 | ETA 16:36:00 2020-12-15 10:55:39 [INFO] [TRAIN] epoch=15, iter=5480/80000, loss=0.2466, lr=0.009381, batch_cost=0.8155, reader_cost=0.0001 | ETA 16:52:53 2020-12-15 10:55:47 [INFO] [TRAIN] epoch=15, iter=5490/80000, loss=0.2923, lr=0.009380, batch_cost=0.8046, reader_cost=0.0001 | ETA 16:39:13 2020-12-15 10:55:55 [INFO] [TRAIN] epoch=15, iter=5500/80000, loss=0.4479, lr=0.009379, batch_cost=0.8095, reader_cost=0.0001 | ETA 16:45:09 2020-12-15 10:56:03 [INFO] [TRAIN] epoch=15, iter=5510/80000, loss=0.2625, lr=0.009378, batch_cost=0.7967, reader_cost=0.0001 | ETA 16:29:04 2020-12-15 10:56:11 [INFO] [TRAIN] epoch=15, iter=5520/80000, loss=0.4303, lr=0.009377, batch_cost=0.8085, reader_cost=0.0001 | ETA 16:43:36 2020-12-15 10:56:19 [INFO] [TRAIN] epoch=15, iter=5530/80000, loss=0.2530, lr=0.009376, batch_cost=0.7993, reader_cost=0.0001 | ETA 16:32:03 2020-12-15 10:56:27 [INFO] [TRAIN] epoch=15, iter=5540/80000, loss=0.2520, lr=0.009375, batch_cost=0.8009, reader_cost=0.0001 | ETA 16:33:57 2020-12-15 10:56:35 [INFO] [TRAIN] epoch=15, iter=5550/80000, loss=0.3862, lr=0.009374, batch_cost=0.8038, reader_cost=0.0000 | ETA 16:37:24 2020-12-15 10:56:43 [INFO] [TRAIN] epoch=15, iter=5560/80000, loss=0.2899, lr=0.009372, batch_cost=0.8078, reader_cost=0.0001 | ETA 16:42:11 2020-12-15 10:56:51 [INFO] [TRAIN] epoch=15, iter=5570/80000, loss=0.2876, lr=0.009371, batch_cost=0.7878, reader_cost=0.0001 | ETA 16:17:17 2020-12-15 10:56:58 [INFO] [TRAIN] epoch=15, iter=5580/80000, loss=0.3429, lr=0.009370, batch_cost=0.7613, reader_cost=0.0001 | ETA 15:44:19 2020-12-15 10:57:08 [INFO] [TRAIN] epoch=16, iter=5590/80000, loss=0.3070, lr=0.009369, batch_cost=0.9325, reader_cost=0.0622 | ETA 19:16:28 2020-12-15 10:57:16 [INFO] [TRAIN] epoch=16, iter=5600/80000, loss=0.3336, lr=0.009368, batch_cost=0.7958, reader_cost=0.0001 | ETA 16:26:44 2020-12-15 10:57:24 [INFO] [TRAIN] epoch=16, iter=5610/80000, loss=0.2499, lr=0.009367, batch_cost=0.8324, reader_cost=0.0001 | ETA 17:12:00 2020-12-15 10:57:32 [INFO] [TRAIN] epoch=16, iter=5620/80000, loss=0.4089, lr=0.009366, batch_cost=0.7849, reader_cost=0.0001 | ETA 16:13:03 2020-12-15 10:57:40 [INFO] [TRAIN] epoch=16, iter=5630/80000, loss=0.3450, lr=0.009364, batch_cost=0.7844, reader_cost=0.0001 | ETA 16:12:17 2020-12-15 10:57:48 [INFO] [TRAIN] epoch=16, iter=5640/80000, loss=0.3418, lr=0.009363, batch_cost=0.7972, reader_cost=0.0001 | ETA 16:27:56 2020-12-15 10:57:56 [INFO] [TRAIN] epoch=16, iter=5650/80000, loss=0.4185, lr=0.009362, batch_cost=0.8112, reader_cost=0.0001 | ETA 16:45:12 2020-12-15 10:58:04 [INFO] [TRAIN] epoch=16, iter=5660/80000, loss=0.2782, lr=0.009361, batch_cost=0.8087, reader_cost=0.0000 | ETA 16:41:55 2020-12-15 10:58:12 [INFO] [TRAIN] epoch=16, iter=5670/80000, loss=0.3462, lr=0.009360, batch_cost=0.7902, reader_cost=0.0001 | ETA 16:18:58 2020-12-15 10:58:20 [INFO] [TRAIN] epoch=16, iter=5680/80000, loss=0.3882, lr=0.009359, batch_cost=0.7882, reader_cost=0.0001 | ETA 16:16:20 2020-12-15 10:58:27 [INFO] [TRAIN] epoch=16, iter=5690/80000, loss=0.2154, lr=0.009358, batch_cost=0.7851, reader_cost=0.0001 | ETA 16:12:18 2020-12-15 10:58:35 [INFO] [TRAIN] epoch=16, iter=5700/80000, loss=0.4850, lr=0.009357, batch_cost=0.8006, reader_cost=0.0000 | ETA 16:31:24 2020-12-15 10:58:43 [INFO] [TRAIN] epoch=16, iter=5710/80000, loss=0.2444, lr=0.009355, batch_cost=0.8024, reader_cost=0.0001 | ETA 16:33:29 2020-12-15 10:58:51 [INFO] [TRAIN] epoch=16, iter=5720/80000, loss=0.3871, lr=0.009354, batch_cost=0.7962, reader_cost=0.0000 | ETA 16:25:39 2020-12-15 10:58:59 [INFO] [TRAIN] epoch=16, iter=5730/80000, loss=0.3594, lr=0.009353, batch_cost=0.8041, reader_cost=0.0001 | ETA 16:35:23 2020-12-15 10:59:08 [INFO] [TRAIN] epoch=16, iter=5740/80000, loss=0.2361, lr=0.009352, batch_cost=0.8048, reader_cost=0.0001 | ETA 16:36:02 2020-12-15 10:59:15 [INFO] [TRAIN] epoch=16, iter=5750/80000, loss=0.2589, lr=0.009351, batch_cost=0.7944, reader_cost=0.0001 | ETA 16:23:01 2020-12-15 10:59:23 [INFO] [TRAIN] epoch=16, iter=5760/80000, loss=0.4399, lr=0.009350, batch_cost=0.7884, reader_cost=0.0001 | ETA 16:15:29 2020-12-15 10:59:31 [INFO] [TRAIN] epoch=16, iter=5770/80000, loss=0.4623, lr=0.009349, batch_cost=0.8036, reader_cost=0.0001 | ETA 16:34:10 2020-12-15 10:59:39 [INFO] [TRAIN] epoch=16, iter=5780/80000, loss=0.2560, lr=0.009347, batch_cost=0.7971, reader_cost=0.0001 | ETA 16:26:02 2020-12-15 10:59:47 [INFO] [TRAIN] epoch=16, iter=5790/80000, loss=0.4462, lr=0.009346, batch_cost=0.8004, reader_cost=0.0001 | ETA 16:29:55 2020-12-15 10:59:55 [INFO] [TRAIN] epoch=16, iter=5800/80000, loss=0.3488, lr=0.009345, batch_cost=0.7890, reader_cost=0.0001 | ETA 16:15:43 2020-12-15 11:00:03 [INFO] [TRAIN] epoch=16, iter=5810/80000, loss=0.2569, lr=0.009344, batch_cost=0.8007, reader_cost=0.0000 | ETA 16:30:04 2020-12-15 11:00:11 [INFO] [TRAIN] epoch=16, iter=5820/80000, loss=0.4428, lr=0.009343, batch_cost=0.7915, reader_cost=0.0001 | ETA 16:18:30 2020-12-15 11:00:19 [INFO] [TRAIN] epoch=16, iter=5830/80000, loss=0.3059, lr=0.009342, batch_cost=0.7817, reader_cost=0.0001 | ETA 16:06:15 2020-12-15 11:00:27 [INFO] [TRAIN] epoch=16, iter=5840/80000, loss=0.2924, lr=0.009341, batch_cost=0.7896, reader_cost=0.0001 | ETA 16:15:53 2020-12-15 11:00:35 [INFO] [TRAIN] epoch=16, iter=5850/80000, loss=0.3868, lr=0.009340, batch_cost=0.7893, reader_cost=0.0001 | ETA 16:15:29 2020-12-15 11:00:43 [INFO] [TRAIN] epoch=16, iter=5860/80000, loss=0.2398, lr=0.009338, batch_cost=0.7912, reader_cost=0.0001 | ETA 16:17:43 2020-12-15 11:00:51 [INFO] [TRAIN] epoch=16, iter=5870/80000, loss=0.2417, lr=0.009337, batch_cost=0.7908, reader_cost=0.0001 | ETA 16:16:58 2020-12-15 11:00:59 [INFO] [TRAIN] epoch=16, iter=5880/80000, loss=0.2047, lr=0.009336, batch_cost=0.8159, reader_cost=0.0001 | ETA 16:47:55 2020-12-15 11:01:07 [INFO] [TRAIN] epoch=16, iter=5890/80000, loss=0.2694, lr=0.009335, batch_cost=0.7947, reader_cost=0.0001 | ETA 16:21:36 2020-12-15 11:01:15 [INFO] [TRAIN] epoch=16, iter=5900/80000, loss=0.2941, lr=0.009334, batch_cost=0.7971, reader_cost=0.0001 | ETA 16:24:28 2020-12-15 11:01:23 [INFO] [TRAIN] epoch=16, iter=5910/80000, loss=0.4189, lr=0.009333, batch_cost=0.8005, reader_cost=0.0001 | ETA 16:28:30 2020-12-15 11:01:31 [INFO] [TRAIN] epoch=16, iter=5920/80000, loss=0.4059, lr=0.009332, batch_cost=0.7935, reader_cost=0.0001 | ETA 16:19:39 2020-12-15 11:01:39 [INFO] [TRAIN] epoch=16, iter=5930/80000, loss=0.3396, lr=0.009330, batch_cost=0.8061, reader_cost=0.0001 | ETA 16:35:05 2020-12-15 11:01:47 [INFO] [TRAIN] epoch=16, iter=5940/80000, loss=0.3690, lr=0.009329, batch_cost=0.8033, reader_cost=0.0001 | ETA 16:31:31 2020-12-15 11:01:55 [INFO] [TRAIN] epoch=16, iter=5950/80000, loss=0.2458, lr=0.009328, batch_cost=0.7902, reader_cost=0.0001 | ETA 16:15:17 2020-12-15 11:02:04 [INFO] [TRAIN] epoch=17, iter=5960/80000, loss=0.2831, lr=0.009327, batch_cost=0.8888, reader_cost=0.0616 | ETA 18:16:47 2020-12-15 11:02:12 [INFO] [TRAIN] epoch=17, iter=5970/80000, loss=0.2790, lr=0.009326, batch_cost=0.8125, reader_cost=0.0001 | ETA 16:42:28 2020-12-15 11:02:19 [INFO] [TRAIN] epoch=17, iter=5980/80000, loss=0.2835, lr=0.009325, batch_cost=0.7826, reader_cost=0.0001 | ETA 16:05:29 2020-12-15 11:02:28 [INFO] [TRAIN] epoch=17, iter=5990/80000, loss=0.2802, lr=0.009324, batch_cost=0.8068, reader_cost=0.0001 | ETA 16:35:13 2020-12-15 11:02:36 [INFO] [TRAIN] epoch=17, iter=6000/80000, loss=0.4099, lr=0.009323, batch_cost=0.8039, reader_cost=0.0000 | ETA 16:31:27 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 11:02:36 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 11:03:25 [INFO] [EVAL] #Images=500 mIoU=0.5896 Acc=0.9335 Kappa=0.9136 2020-12-15 11:03:25 [INFO] [EVAL] Class IoU: [0.9679 0.7588 0.8924 0.2295 0.4242 0.511 0.5544 0.6911 0.8966 0.5338 0.9248 0.5179 0.2462 0.8992 0.4009 0.3035 0.3895 0.41 0.65 ] 2020-12-15 11:03:25 [INFO] [EVAL] Class Acc: [0.9808 0.8828 0.9375 0.792 0.6558 0.7089 0.6732 0.8854 0.9334 0.8157 0.964 0.8426 0.2609 0.9194 0.4974 0.7488 0.8218 0.5096 0.7544] 2020-12-15 11:03:34 [INFO] [EVAL] The model with the best validation mIoU (0.5896) was saved at iter 6000. 2020-12-15 11:03:42 [INFO] [TRAIN] epoch=17, iter=6010/80000, loss=0.2801, lr=0.009321, batch_cost=0.7895, reader_cost=0.0001 | ETA 16:13:31 2020-12-15 11:03:50 [INFO] [TRAIN] epoch=17, iter=6020/80000, loss=0.3347, lr=0.009320, batch_cost=0.7998, reader_cost=0.0000 | ETA 16:26:11 2020-12-15 11:03:58 [INFO] [TRAIN] epoch=17, iter=6030/80000, loss=0.2851, lr=0.009319, batch_cost=0.8097, reader_cost=0.0001 | ETA 16:38:12 2020-12-15 11:04:06 [INFO] [TRAIN] epoch=17, iter=6040/80000, loss=0.3587, lr=0.009318, batch_cost=0.8166, reader_cost=0.0000 | ETA 16:46:38 2020-12-15 11:04:14 [INFO] [TRAIN] epoch=17, iter=6050/80000, loss=0.3039, lr=0.009317, batch_cost=0.7961, reader_cost=0.0001 | ETA 16:21:11 2020-12-15 11:04:22 [INFO] [TRAIN] epoch=17, iter=6060/80000, loss=0.3088, lr=0.009316, batch_cost=0.7966, reader_cost=0.0000 | ETA 16:21:37 2020-12-15 11:04:30 [INFO] [TRAIN] epoch=17, iter=6070/80000, loss=0.5379, lr=0.009315, batch_cost=0.8038, reader_cost=0.0001 | ETA 16:30:28 2020-12-15 11:04:38 [INFO] [TRAIN] epoch=17, iter=6080/80000, loss=0.2844, lr=0.009313, batch_cost=0.7825, reader_cost=0.0000 | ETA 16:04:04 2020-12-15 11:04:46 [INFO] [TRAIN] epoch=17, iter=6090/80000, loss=0.5337, lr=0.009312, batch_cost=0.8000, reader_cost=0.0001 | ETA 16:25:27 2020-12-15 11:04:54 [INFO] [TRAIN] epoch=17, iter=6100/80000, loss=0.3201, lr=0.009311, batch_cost=0.7809, reader_cost=0.0001 | ETA 16:01:49 2020-12-15 11:05:02 [INFO] [TRAIN] epoch=17, iter=6110/80000, loss=0.5660, lr=0.009310, batch_cost=0.8005, reader_cost=0.0001 | ETA 16:25:48 2020-12-15 11:05:10 [INFO] [TRAIN] epoch=17, iter=6120/80000, loss=0.2751, lr=0.009309, batch_cost=0.8105, reader_cost=0.0001 | ETA 16:38:02 2020-12-15 11:05:18 [INFO] [TRAIN] epoch=17, iter=6130/80000, loss=0.3829, lr=0.009308, batch_cost=0.8175, reader_cost=0.0001 | ETA 16:46:27 2020-12-15 11:05:26 [INFO] [TRAIN] epoch=17, iter=6140/80000, loss=0.2735, lr=0.009307, batch_cost=0.8008, reader_cost=0.0001 | ETA 16:25:45 2020-12-15 11:05:34 [INFO] [TRAIN] epoch=17, iter=6150/80000, loss=0.3678, lr=0.009306, batch_cost=0.7941, reader_cost=0.0001 | ETA 16:17:24 2020-12-15 11:05:42 [INFO] [TRAIN] epoch=17, iter=6160/80000, loss=0.4561, lr=0.009304, batch_cost=0.8064, reader_cost=0.0000 | ETA 16:32:24 2020-12-15 11:05:50 [INFO] [TRAIN] epoch=17, iter=6170/80000, loss=0.3274, lr=0.009303, batch_cost=0.8010, reader_cost=0.0001 | ETA 16:25:38 2020-12-15 11:05:58 [INFO] [TRAIN] epoch=17, iter=6180/80000, loss=0.2444, lr=0.009302, batch_cost=0.7948, reader_cost=0.0001 | ETA 16:17:48 2020-12-15 11:06:06 [INFO] [TRAIN] epoch=17, iter=6190/80000, loss=0.3486, lr=0.009301, batch_cost=0.7926, reader_cost=0.0001 | ETA 16:15:04 2020-12-15 11:06:14 [INFO] [TRAIN] epoch=17, iter=6200/80000, loss=0.2777, lr=0.009300, batch_cost=0.7833, reader_cost=0.0001 | ETA 16:03:26 2020-12-15 11:06:22 [INFO] [TRAIN] epoch=17, iter=6210/80000, loss=0.3639, lr=0.009299, batch_cost=0.7994, reader_cost=0.0001 | ETA 16:23:05 2020-12-15 11:06:30 [INFO] [TRAIN] epoch=17, iter=6220/80000, loss=0.3120, lr=0.009298, batch_cost=0.7897, reader_cost=0.0000 | ETA 16:11:00 2020-12-15 11:06:38 [INFO] [TRAIN] epoch=17, iter=6230/80000, loss=0.3852, lr=0.009296, batch_cost=0.8136, reader_cost=0.0001 | ETA 16:40:21 2020-12-15 11:06:46 [INFO] [TRAIN] epoch=17, iter=6240/80000, loss=0.3146, lr=0.009295, batch_cost=0.7936, reader_cost=0.0001 | ETA 16:15:34 2020-12-15 11:06:54 [INFO] [TRAIN] epoch=17, iter=6250/80000, loss=0.3119, lr=0.009294, batch_cost=0.7996, reader_cost=0.0001 | ETA 16:22:47 2020-12-15 11:07:02 [INFO] [TRAIN] epoch=17, iter=6260/80000, loss=0.2982, lr=0.009293, batch_cost=0.7768, reader_cost=0.0001 | ETA 15:54:41 2020-12-15 11:07:10 [INFO] [TRAIN] epoch=17, iter=6270/80000, loss=0.3469, lr=0.009292, batch_cost=0.8110, reader_cost=0.0000 | ETA 16:36:38 2020-12-15 11:07:18 [INFO] [TRAIN] epoch=17, iter=6280/80000, loss=0.3363, lr=0.009291, batch_cost=0.8054, reader_cost=0.0001 | ETA 16:29:37 2020-12-15 11:07:26 [INFO] [TRAIN] epoch=17, iter=6290/80000, loss=0.2152, lr=0.009290, batch_cost=0.7913, reader_cost=0.0001 | ETA 16:12:05 2020-12-15 11:07:34 [INFO] [TRAIN] epoch=17, iter=6300/80000, loss=0.3009, lr=0.009288, batch_cost=0.8137, reader_cost=0.0000 | ETA 16:39:27 2020-12-15 11:07:42 [INFO] [TRAIN] epoch=17, iter=6310/80000, loss=0.3295, lr=0.009287, batch_cost=0.8106, reader_cost=0.0001 | ETA 16:35:31 2020-12-15 11:07:50 [INFO] [TRAIN] epoch=17, iter=6320/80000, loss=0.3394, lr=0.009286, batch_cost=0.7839, reader_cost=0.0000 | ETA 16:02:35 2020-12-15 11:07:59 [INFO] [TRAIN] epoch=18, iter=6330/80000, loss=0.3007, lr=0.009285, batch_cost=0.8986, reader_cost=0.0663 | ETA 18:23:18 2020-12-15 11:08:07 [INFO] [TRAIN] epoch=18, iter=6340/80000, loss=0.4049, lr=0.009284, batch_cost=0.7920, reader_cost=0.0001 | ETA 16:12:19 2020-12-15 11:08:15 [INFO] [TRAIN] epoch=18, iter=6350/80000, loss=0.2931, lr=0.009283, batch_cost=0.8054, reader_cost=0.0000 | ETA 16:28:41 2020-12-15 11:08:23 [INFO] [TRAIN] epoch=18, iter=6360/80000, loss=0.3277, lr=0.009282, batch_cost=0.8046, reader_cost=0.0001 | ETA 16:27:30 2020-12-15 11:08:31 [INFO] [TRAIN] epoch=18, iter=6370/80000, loss=0.2620, lr=0.009281, batch_cost=0.7945, reader_cost=0.0001 | ETA 16:15:01 2020-12-15 11:08:39 [INFO] [TRAIN] epoch=18, iter=6380/80000, loss=0.3426, lr=0.009279, batch_cost=0.7997, reader_cost=0.0001 | ETA 16:21:16 2020-12-15 11:08:47 [INFO] [TRAIN] epoch=18, iter=6390/80000, loss=0.3561, lr=0.009278, batch_cost=0.7954, reader_cost=0.0001 | ETA 16:15:48 2020-12-15 11:08:55 [INFO] [TRAIN] epoch=18, iter=6400/80000, loss=0.3272, lr=0.009277, batch_cost=0.8019, reader_cost=0.0000 | ETA 16:23:37 2020-12-15 11:09:03 [INFO] [TRAIN] epoch=18, iter=6410/80000, loss=0.3439, lr=0.009276, batch_cost=0.8076, reader_cost=0.0001 | ETA 16:30:33 2020-12-15 11:09:11 [INFO] [TRAIN] epoch=18, iter=6420/80000, loss=0.3572, lr=0.009275, batch_cost=0.7970, reader_cost=0.0000 | ETA 16:17:20 2020-12-15 11:09:19 [INFO] [TRAIN] epoch=18, iter=6430/80000, loss=0.4479, lr=0.009274, batch_cost=0.7851, reader_cost=0.0000 | ETA 16:02:38 2020-12-15 11:09:27 [INFO] [TRAIN] epoch=18, iter=6440/80000, loss=0.3250, lr=0.009273, batch_cost=0.7907, reader_cost=0.0001 | ETA 16:09:23 2020-12-15 11:09:35 [INFO] [TRAIN] epoch=18, iter=6450/80000, loss=0.3410, lr=0.009271, batch_cost=0.7833, reader_cost=0.0001 | ETA 16:00:14 2020-12-15 11:09:43 [INFO] [TRAIN] epoch=18, iter=6460/80000, loss=0.4316, lr=0.009270, batch_cost=0.8029, reader_cost=0.0001 | ETA 16:24:08 2020-12-15 11:09:51 [INFO] [TRAIN] epoch=18, iter=6470/80000, loss=0.4021, lr=0.009269, batch_cost=0.8040, reader_cost=0.0001 | ETA 16:25:20 2020-12-15 11:09:59 [INFO] [TRAIN] epoch=18, iter=6480/80000, loss=0.4925, lr=0.009268, batch_cost=0.8020, reader_cost=0.0001 | ETA 16:22:43 2020-12-15 11:10:07 [INFO] [TRAIN] epoch=18, iter=6490/80000, loss=0.7384, lr=0.009267, batch_cost=0.8001, reader_cost=0.0001 | ETA 16:20:15 2020-12-15 11:10:15 [INFO] [TRAIN] epoch=18, iter=6500/80000, loss=0.2963, lr=0.009266, batch_cost=0.7934, reader_cost=0.0001 | ETA 16:11:54 2020-12-15 11:10:22 [INFO] [TRAIN] epoch=18, iter=6510/80000, loss=0.2586, lr=0.009265, batch_cost=0.7884, reader_cost=0.0001 | ETA 16:05:40 2020-12-15 11:10:30 [INFO] [TRAIN] epoch=18, iter=6520/80000, loss=0.3525, lr=0.009264, batch_cost=0.7905, reader_cost=0.0001 | ETA 16:08:04 2020-12-15 11:10:38 [INFO] [TRAIN] epoch=18, iter=6530/80000, loss=0.2753, lr=0.009262, batch_cost=0.7864, reader_cost=0.0000 | ETA 16:02:56 2020-12-15 11:10:46 [INFO] [TRAIN] epoch=18, iter=6540/80000, loss=0.2377, lr=0.009261, batch_cost=0.7889, reader_cost=0.0001 | ETA 16:05:51 2020-12-15 11:10:54 [INFO] [TRAIN] epoch=18, iter=6550/80000, loss=0.2574, lr=0.009260, batch_cost=0.7954, reader_cost=0.0000 | ETA 16:13:39 2020-12-15 11:11:02 [INFO] [TRAIN] epoch=18, iter=6560/80000, loss=0.2381, lr=0.009259, batch_cost=0.7992, reader_cost=0.0001 | ETA 16:18:16 2020-12-15 11:11:10 [INFO] [TRAIN] epoch=18, iter=6570/80000, loss=0.3094, lr=0.009258, batch_cost=0.8058, reader_cost=0.0001 | ETA 16:26:13 2020-12-15 11:11:18 [INFO] [TRAIN] epoch=18, iter=6580/80000, loss=0.2800, lr=0.009257, batch_cost=0.7909, reader_cost=0.0000 | ETA 16:07:49 2020-12-15 11:11:26 [INFO] [TRAIN] epoch=18, iter=6590/80000, loss=0.3062, lr=0.009256, batch_cost=0.7892, reader_cost=0.0001 | ETA 16:05:36 2020-12-15 11:11:34 [INFO] [TRAIN] epoch=18, iter=6600/80000, loss=0.2236, lr=0.009254, batch_cost=0.7976, reader_cost=0.0000 | ETA 16:15:42 2020-12-15 11:11:42 [INFO] [TRAIN] epoch=18, iter=6610/80000, loss=0.2250, lr=0.009253, batch_cost=0.7922, reader_cost=0.0000 | ETA 16:09:00 2020-12-15 11:11:50 [INFO] [TRAIN] epoch=18, iter=6620/80000, loss=0.2183, lr=0.009252, batch_cost=0.7842, reader_cost=0.0001 | ETA 15:59:03 2020-12-15 11:11:58 [INFO] [TRAIN] epoch=18, iter=6630/80000, loss=0.4120, lr=0.009251, batch_cost=0.7930, reader_cost=0.0000 | ETA 16:09:45 2020-12-15 11:12:06 [INFO] [TRAIN] epoch=18, iter=6640/80000, loss=0.3190, lr=0.009250, batch_cost=0.7905, reader_cost=0.0001 | ETA 16:06:31 2020-12-15 11:12:14 [INFO] [TRAIN] epoch=18, iter=6650/80000, loss=0.2846, lr=0.009249, batch_cost=0.8051, reader_cost=0.0001 | ETA 16:24:13 2020-12-15 11:12:22 [INFO] [TRAIN] epoch=18, iter=6660/80000, loss=0.1793, lr=0.009248, batch_cost=0.8027, reader_cost=0.0001 | ETA 16:21:12 2020-12-15 11:12:29 [INFO] [TRAIN] epoch=18, iter=6670/80000, loss=0.3252, lr=0.009247, batch_cost=0.7886, reader_cost=0.0001 | ETA 16:03:50 2020-12-15 11:12:37 [INFO] [TRAIN] epoch=18, iter=6680/80000, loss=0.3491, lr=0.009245, batch_cost=0.7965, reader_cost=0.0001 | ETA 16:13:19 2020-12-15 11:12:45 [INFO] [TRAIN] epoch=18, iter=6690/80000, loss=0.2919, lr=0.009244, batch_cost=0.7976, reader_cost=0.0001 | ETA 16:14:33 2020-12-15 11:12:54 [INFO] [TRAIN] epoch=19, iter=6700/80000, loss=0.4062, lr=0.009243, batch_cost=0.8653, reader_cost=0.0520 | ETA 17:37:03 2020-12-15 11:13:02 [INFO] [TRAIN] epoch=19, iter=6710/80000, loss=0.4716, lr=0.009242, batch_cost=0.8395, reader_cost=0.0001 | ETA 17:05:25 2020-12-15 11:13:10 [INFO] [TRAIN] epoch=19, iter=6720/80000, loss=0.3040, lr=0.009241, batch_cost=0.8008, reader_cost=0.0001 | ETA 16:18:01 2020-12-15 11:13:18 [INFO] [TRAIN] epoch=19, iter=6730/80000, loss=0.2767, lr=0.009240, batch_cost=0.7966, reader_cost=0.0001 | ETA 16:12:46 2020-12-15 11:13:26 [INFO] [TRAIN] epoch=19, iter=6740/80000, loss=0.2423, lr=0.009239, batch_cost=0.7922, reader_cost=0.0001 | ETA 16:07:19 2020-12-15 11:13:35 [INFO] [TRAIN] epoch=19, iter=6750/80000, loss=0.2847, lr=0.009237, batch_cost=0.8138, reader_cost=0.0001 | ETA 16:33:31 2020-12-15 11:13:42 [INFO] [TRAIN] epoch=19, iter=6760/80000, loss=0.2612, lr=0.009236, batch_cost=0.7975, reader_cost=0.0000 | ETA 16:13:30 2020-12-15 11:13:51 [INFO] [TRAIN] epoch=19, iter=6770/80000, loss=0.4056, lr=0.009235, batch_cost=0.8057, reader_cost=0.0001 | ETA 16:23:18 2020-12-15 11:13:59 [INFO] [TRAIN] epoch=19, iter=6780/80000, loss=0.2565, lr=0.009234, batch_cost=0.7960, reader_cost=0.0001 | ETA 16:11:20 2020-12-15 11:14:06 [INFO] [TRAIN] epoch=19, iter=6790/80000, loss=0.3043, lr=0.009233, batch_cost=0.7935, reader_cost=0.0001 | ETA 16:08:14 2020-12-15 11:14:14 [INFO] [TRAIN] epoch=19, iter=6800/80000, loss=0.4055, lr=0.009232, batch_cost=0.7914, reader_cost=0.0001 | ETA 16:05:30 2020-12-15 11:14:22 [INFO] [TRAIN] epoch=19, iter=6810/80000, loss=0.2769, lr=0.009231, batch_cost=0.7941, reader_cost=0.0000 | ETA 16:08:38 2020-12-15 11:14:30 [INFO] [TRAIN] epoch=19, iter=6820/80000, loss=0.2338, lr=0.009229, batch_cost=0.7893, reader_cost=0.0000 | ETA 16:02:44 2020-12-15 11:14:38 [INFO] [TRAIN] epoch=19, iter=6830/80000, loss=0.2818, lr=0.009228, batch_cost=0.8186, reader_cost=0.0000 | ETA 16:38:16 2020-12-15 11:14:46 [INFO] [TRAIN] epoch=19, iter=6840/80000, loss=0.3839, lr=0.009227, batch_cost=0.7965, reader_cost=0.0001 | ETA 16:11:08 2020-12-15 11:14:54 [INFO] [TRAIN] epoch=19, iter=6850/80000, loss=0.3277, lr=0.009226, batch_cost=0.7959, reader_cost=0.0001 | ETA 16:10:16 2020-12-15 11:15:02 [INFO] [TRAIN] epoch=19, iter=6860/80000, loss=0.3733, lr=0.009225, batch_cost=0.7891, reader_cost=0.0001 | ETA 16:01:57 2020-12-15 11:15:10 [INFO] [TRAIN] epoch=19, iter=6870/80000, loss=0.3596, lr=0.009224, batch_cost=0.7980, reader_cost=0.0001 | ETA 16:12:38 2020-12-15 11:15:18 [INFO] [TRAIN] epoch=19, iter=6880/80000, loss=0.3551, lr=0.009223, batch_cost=0.7908, reader_cost=0.0001 | ETA 16:03:43 2020-12-15 11:15:26 [INFO] [TRAIN] epoch=19, iter=6890/80000, loss=0.4136, lr=0.009222, batch_cost=0.7960, reader_cost=0.0001 | ETA 16:09:55 2020-12-15 11:15:34 [INFO] [TRAIN] epoch=19, iter=6900/80000, loss=0.3029, lr=0.009220, batch_cost=0.8003, reader_cost=0.0001 | ETA 16:15:03 2020-12-15 11:15:42 [INFO] [TRAIN] epoch=19, iter=6910/80000, loss=0.3139, lr=0.009219, batch_cost=0.7883, reader_cost=0.0001 | ETA 16:00:18 2020-12-15 11:15:50 [INFO] [TRAIN] epoch=19, iter=6920/80000, loss=0.3758, lr=0.009218, batch_cost=0.7974, reader_cost=0.0001 | ETA 16:11:11 2020-12-15 11:15:58 [INFO] [TRAIN] epoch=19, iter=6930/80000, loss=0.3545, lr=0.009217, batch_cost=0.7932, reader_cost=0.0001 | ETA 16:05:59 2020-12-15 11:16:06 [INFO] [TRAIN] epoch=19, iter=6940/80000, loss=0.3716, lr=0.009216, batch_cost=0.8070, reader_cost=0.0001 | ETA 16:22:38 2020-12-15 11:16:14 [INFO] [TRAIN] epoch=19, iter=6950/80000, loss=0.2149, lr=0.009215, batch_cost=0.7925, reader_cost=0.0001 | ETA 16:04:54 2020-12-15 11:16:22 [INFO] [TRAIN] epoch=19, iter=6960/80000, loss=0.3670, lr=0.009214, batch_cost=0.8064, reader_cost=0.0001 | ETA 16:21:36 2020-12-15 11:16:30 [INFO] [TRAIN] epoch=19, iter=6970/80000, loss=0.3510, lr=0.009212, batch_cost=0.7915, reader_cost=0.0001 | ETA 16:03:24 2020-12-15 11:16:38 [INFO] [TRAIN] epoch=19, iter=6980/80000, loss=0.2367, lr=0.009211, batch_cost=0.7886, reader_cost=0.0001 | ETA 15:59:40 2020-12-15 11:16:46 [INFO] [TRAIN] epoch=19, iter=6990/80000, loss=0.2339, lr=0.009210, batch_cost=0.7872, reader_cost=0.0001 | ETA 15:57:51 2020-12-15 11:16:54 [INFO] [TRAIN] epoch=19, iter=7000/80000, loss=0.2984, lr=0.009209, batch_cost=0.7975, reader_cost=0.0000 | ETA 16:10:16 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 11:16:54 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 11:17:43 [INFO] [EVAL] #Images=500 mIoU=0.6616 Acc=0.9427 Kappa=0.9254 2020-12-15 11:17:43 [INFO] [EVAL] Class IoU: [0.9726 0.7768 0.8972 0.283 0.4786 0.5047 0.5842 0.7082 0.901 0.482 0.9301 0.7539 0.5068 0.9131 0.4588 0.625 0.6635 0.4332 0.6975] 2020-12-15 11:17:43 [INFO] [EVAL] Class Acc: [0.9834 0.8604 0.9348 0.7606 0.7012 0.777 0.8264 0.8764 0.9344 0.8626 0.972 0.8372 0.7046 0.9435 0.7237 0.8945 0.9352 0.8231 0.8228] 2020-12-15 11:17:52 [INFO] [EVAL] The model with the best validation mIoU (0.6616) was saved at iter 7000. 2020-12-15 11:18:00 [INFO] [TRAIN] epoch=19, iter=7010/80000, loss=0.2398, lr=0.009208, batch_cost=0.8030, reader_cost=0.0001 | ETA 16:16:47 2020-12-15 11:18:08 [INFO] [TRAIN] epoch=19, iter=7020/80000, loss=0.3092, lr=0.009207, batch_cost=0.7889, reader_cost=0.0001 | ETA 15:59:34 2020-12-15 11:18:16 [INFO] [TRAIN] epoch=19, iter=7030/80000, loss=0.2452, lr=0.009206, batch_cost=0.7845, reader_cost=0.0001 | ETA 15:54:04 2020-12-15 11:18:24 [INFO] [TRAIN] epoch=19, iter=7040/80000, loss=0.2686, lr=0.009205, batch_cost=0.7966, reader_cost=0.0001 | ETA 16:08:42 2020-12-15 11:18:32 [INFO] [TRAIN] epoch=19, iter=7050/80000, loss=0.2685, lr=0.009203, batch_cost=0.7931, reader_cost=0.0000 | ETA 16:04:15 2020-12-15 11:18:40 [INFO] [TRAIN] epoch=19, iter=7060/80000, loss=0.2616, lr=0.009202, batch_cost=0.7995, reader_cost=0.0001 | ETA 16:11:56 2020-12-15 11:18:48 [INFO] [TRAIN] epoch=20, iter=7070/80000, loss=0.3454, lr=0.009201, batch_cost=0.8415, reader_cost=0.0657 | ETA 17:02:49 2020-12-15 11:18:57 [INFO] [TRAIN] epoch=20, iter=7080/80000, loss=0.3079, lr=0.009200, batch_cost=0.8260, reader_cost=0.0000 | ETA 16:43:54 2020-12-15 11:19:05 [INFO] [TRAIN] epoch=20, iter=7090/80000, loss=0.3398, lr=0.009199, batch_cost=0.8059, reader_cost=0.0001 | ETA 16:19:17 2020-12-15 11:19:13 [INFO] [TRAIN] epoch=20, iter=7100/80000, loss=0.1567, lr=0.009198, batch_cost=0.8038, reader_cost=0.0001 | ETA 16:16:33 2020-12-15 11:19:21 [INFO] [TRAIN] epoch=20, iter=7110/80000, loss=0.3025, lr=0.009197, batch_cost=0.7756, reader_cost=0.0001 | ETA 15:42:12 2020-12-15 11:19:29 [INFO] [TRAIN] epoch=20, iter=7120/80000, loss=0.2853, lr=0.009195, batch_cost=0.7947, reader_cost=0.0000 | ETA 16:05:17 2020-12-15 11:19:36 [INFO] [TRAIN] epoch=20, iter=7130/80000, loss=0.2772, lr=0.009194, batch_cost=0.7870, reader_cost=0.0001 | ETA 15:55:45 2020-12-15 11:19:44 [INFO] [TRAIN] epoch=20, iter=7140/80000, loss=0.2390, lr=0.009193, batch_cost=0.7910, reader_cost=0.0000 | ETA 16:00:31 2020-12-15 11:19:52 [INFO] [TRAIN] epoch=20, iter=7150/80000, loss=0.3528, lr=0.009192, batch_cost=0.7922, reader_cost=0.0000 | ETA 16:01:49 2020-12-15 11:20:00 [INFO] [TRAIN] epoch=20, iter=7160/80000, loss=0.3614, lr=0.009191, batch_cost=0.7875, reader_cost=0.0001 | ETA 15:56:03 2020-12-15 11:20:08 [INFO] [TRAIN] epoch=20, iter=7170/80000, loss=0.2640, lr=0.009190, batch_cost=0.7968, reader_cost=0.0000 | ETA 16:07:14 2020-12-15 11:20:16 [INFO] [TRAIN] epoch=20, iter=7180/80000, loss=0.3255, lr=0.009189, batch_cost=0.8012, reader_cost=0.0001 | ETA 16:12:21 2020-12-15 11:20:24 [INFO] [TRAIN] epoch=20, iter=7190/80000, loss=0.3481, lr=0.009187, batch_cost=0.7833, reader_cost=0.0000 | ETA 15:50:32 2020-12-15 11:20:32 [INFO] [TRAIN] epoch=20, iter=7200/80000, loss=0.3751, lr=0.009186, batch_cost=0.7881, reader_cost=0.0000 | ETA 15:56:15 2020-12-15 11:20:40 [INFO] [TRAIN] epoch=20, iter=7210/80000, loss=0.2818, lr=0.009185, batch_cost=0.7854, reader_cost=0.0001 | ETA 15:52:48 2020-12-15 11:20:48 [INFO] [TRAIN] epoch=20, iter=7220/80000, loss=0.1917, lr=0.009184, batch_cost=0.7955, reader_cost=0.0001 | ETA 16:04:54 2020-12-15 11:20:56 [INFO] [TRAIN] epoch=20, iter=7230/80000, loss=0.3638, lr=0.009183, batch_cost=0.7927, reader_cost=0.0001 | ETA 16:01:27 2020-12-15 11:21:03 [INFO] [TRAIN] epoch=20, iter=7240/80000, loss=0.3264, lr=0.009182, batch_cost=0.7907, reader_cost=0.0001 | ETA 15:58:53 2020-12-15 11:21:11 [INFO] [TRAIN] epoch=20, iter=7250/80000, loss=0.3134, lr=0.009181, batch_cost=0.7915, reader_cost=0.0001 | ETA 15:59:38 2020-12-15 11:21:19 [INFO] [TRAIN] epoch=20, iter=7260/80000, loss=0.3244, lr=0.009180, batch_cost=0.8000, reader_cost=0.0001 | ETA 16:09:52 2020-12-15 11:21:27 [INFO] [TRAIN] epoch=20, iter=7270/80000, loss=0.3252, lr=0.009178, batch_cost=0.7959, reader_cost=0.0000 | ETA 16:04:48 2020-12-15 11:21:35 [INFO] [TRAIN] epoch=20, iter=7280/80000, loss=0.2184, lr=0.009177, batch_cost=0.8084, reader_cost=0.0001 | ETA 16:19:43 2020-12-15 11:21:43 [INFO] [TRAIN] epoch=20, iter=7290/80000, loss=0.3181, lr=0.009176, batch_cost=0.7987, reader_cost=0.0001 | ETA 16:07:51 2020-12-15 11:21:51 [INFO] [TRAIN] epoch=20, iter=7300/80000, loss=0.3332, lr=0.009175, batch_cost=0.7935, reader_cost=0.0000 | ETA 16:01:28 2020-12-15 11:21:59 [INFO] [TRAIN] epoch=20, iter=7310/80000, loss=0.2722, lr=0.009174, batch_cost=0.7927, reader_cost=0.0000 | ETA 16:00:19 2020-12-15 11:22:07 [INFO] [TRAIN] epoch=20, iter=7320/80000, loss=0.2761, lr=0.009173, batch_cost=0.7858, reader_cost=0.0001 | ETA 15:51:53 2020-12-15 11:22:15 [INFO] [TRAIN] epoch=20, iter=7330/80000, loss=0.3352, lr=0.009172, batch_cost=0.8026, reader_cost=0.0001 | ETA 16:12:05 2020-12-15 11:22:23 [INFO] [TRAIN] epoch=20, iter=7340/80000, loss=0.3151, lr=0.009170, batch_cost=0.7828, reader_cost=0.0000 | ETA 15:48:00 2020-12-15 11:22:31 [INFO] [TRAIN] epoch=20, iter=7350/80000, loss=0.3110, lr=0.009169, batch_cost=0.7969, reader_cost=0.0001 | ETA 16:04:57 2020-12-15 11:22:39 [INFO] [TRAIN] epoch=20, iter=7360/80000, loss=0.3719, lr=0.009168, batch_cost=0.7954, reader_cost=0.0001 | ETA 16:02:54 2020-12-15 11:22:47 [INFO] [TRAIN] epoch=20, iter=7370/80000, loss=0.6141, lr=0.009167, batch_cost=0.7884, reader_cost=0.0000 | ETA 15:54:20 2020-12-15 11:22:55 [INFO] [TRAIN] epoch=20, iter=7380/80000, loss=0.3780, lr=0.009166, batch_cost=0.8015, reader_cost=0.0000 | ETA 16:10:02 2020-12-15 11:23:03 [INFO] [TRAIN] epoch=20, iter=7390/80000, loss=0.3286, lr=0.009165, batch_cost=0.7995, reader_cost=0.0000 | ETA 16:07:33 2020-12-15 11:23:11 [INFO] [TRAIN] epoch=20, iter=7400/80000, loss=0.2988, lr=0.009164, batch_cost=0.7890, reader_cost=0.0000 | ETA 15:54:40 2020-12-15 11:23:19 [INFO] [TRAIN] epoch=20, iter=7410/80000, loss=0.2149, lr=0.009162, batch_cost=0.8033, reader_cost=0.0000 | ETA 16:11:53 2020-12-15 11:23:27 [INFO] [TRAIN] epoch=20, iter=7420/80000, loss=0.3615, lr=0.009161, batch_cost=0.8136, reader_cost=0.0001 | ETA 16:24:10 2020-12-15 11:23:35 [INFO] [TRAIN] epoch=20, iter=7430/80000, loss=0.2641, lr=0.009160, batch_cost=0.7860, reader_cost=0.0001 | ETA 15:50:40 2020-12-15 11:23:42 [INFO] [TRAIN] epoch=20, iter=7440/80000, loss=0.3019, lr=0.009159, batch_cost=0.7615, reader_cost=0.0000 | ETA 15:20:52 2020-12-15 11:23:52 [INFO] [TRAIN] epoch=21, iter=7450/80000, loss=0.3397, lr=0.009158, batch_cost=0.9321, reader_cost=0.0591 | ETA 18:47:02 2020-12-15 11:24:00 [INFO] [TRAIN] epoch=21, iter=7460/80000, loss=0.4258, lr=0.009157, batch_cost=0.7981, reader_cost=0.0000 | ETA 16:04:53 2020-12-15 11:24:08 [INFO] [TRAIN] epoch=21, iter=7470/80000, loss=0.2387, lr=0.009156, batch_cost=0.8095, reader_cost=0.0001 | ETA 16:18:30 2020-12-15 11:24:16 [INFO] [TRAIN] epoch=21, iter=7480/80000, loss=0.2748, lr=0.009155, batch_cost=0.8191, reader_cost=0.0001 | ETA 16:29:58 2020-12-15 11:24:24 [INFO] [TRAIN] epoch=21, iter=7490/80000, loss=0.2661, lr=0.009153, batch_cost=0.8016, reader_cost=0.0000 | ETA 16:08:41 2020-12-15 11:24:32 [INFO] [TRAIN] epoch=21, iter=7500/80000, loss=0.3062, lr=0.009152, batch_cost=0.7827, reader_cost=0.0001 | ETA 15:45:43 2020-12-15 11:24:40 [INFO] [TRAIN] epoch=21, iter=7510/80000, loss=0.2921, lr=0.009151, batch_cost=0.7989, reader_cost=0.0001 | ETA 16:05:14 2020-12-15 11:24:48 [INFO] [TRAIN] epoch=21, iter=7520/80000, loss=0.3463, lr=0.009150, batch_cost=0.8058, reader_cost=0.0001 | ETA 16:13:22 2020-12-15 11:24:56 [INFO] [TRAIN] epoch=21, iter=7530/80000, loss=0.2465, lr=0.009149, batch_cost=0.8036, reader_cost=0.0001 | ETA 16:10:35 2020-12-15 11:25:04 [INFO] [TRAIN] epoch=21, iter=7540/80000, loss=0.3339, lr=0.009148, batch_cost=0.7912, reader_cost=0.0001 | ETA 15:55:30 2020-12-15 11:25:12 [INFO] [TRAIN] epoch=21, iter=7550/80000, loss=0.2727, lr=0.009147, batch_cost=0.8036, reader_cost=0.0001 | ETA 16:10:20 2020-12-15 11:25:20 [INFO] [TRAIN] epoch=21, iter=7560/80000, loss=0.3572, lr=0.009145, batch_cost=0.7930, reader_cost=0.0001 | ETA 15:57:21 2020-12-15 11:25:28 [INFO] [TRAIN] epoch=21, iter=7570/80000, loss=0.3131, lr=0.009144, batch_cost=0.8180, reader_cost=0.0001 | ETA 16:27:27 2020-12-15 11:25:36 [INFO] [TRAIN] epoch=21, iter=7580/80000, loss=0.3791, lr=0.009143, batch_cost=0.7812, reader_cost=0.0001 | ETA 15:42:50 2020-12-15 11:25:44 [INFO] [TRAIN] epoch=21, iter=7590/80000, loss=0.2188, lr=0.009142, batch_cost=0.7929, reader_cost=0.0001 | ETA 15:56:53 2020-12-15 11:25:52 [INFO] [TRAIN] epoch=21, iter=7600/80000, loss=0.2754, lr=0.009141, batch_cost=0.7962, reader_cost=0.0001 | ETA 16:00:47 2020-12-15 11:26:00 [INFO] [TRAIN] epoch=21, iter=7610/80000, loss=0.2586, lr=0.009140, batch_cost=0.8035, reader_cost=0.0001 | ETA 16:09:23 2020-12-15 11:26:08 [INFO] [TRAIN] epoch=21, iter=7620/80000, loss=0.3124, lr=0.009139, batch_cost=0.8145, reader_cost=0.0000 | ETA 16:22:36 2020-12-15 11:26:16 [INFO] [TRAIN] epoch=21, iter=7630/80000, loss=0.3339, lr=0.009137, batch_cost=0.7898, reader_cost=0.0000 | ETA 15:52:39 2020-12-15 11:26:24 [INFO] [TRAIN] epoch=21, iter=7640/80000, loss=0.2832, lr=0.009136, batch_cost=0.7842, reader_cost=0.0001 | ETA 15:45:44 2020-12-15 11:26:31 [INFO] [TRAIN] epoch=21, iter=7650/80000, loss=0.2317, lr=0.009135, batch_cost=0.7912, reader_cost=0.0001 | ETA 15:54:02 2020-12-15 11:26:39 [INFO] [TRAIN] epoch=21, iter=7660/80000, loss=0.2786, lr=0.009134, batch_cost=0.7813, reader_cost=0.0001 | ETA 15:41:57 2020-12-15 11:26:47 [INFO] [TRAIN] epoch=21, iter=7670/80000, loss=0.3374, lr=0.009133, batch_cost=0.7933, reader_cost=0.0001 | ETA 15:56:22 2020-12-15 11:26:55 [INFO] [TRAIN] epoch=21, iter=7680/80000, loss=0.4612, lr=0.009132, batch_cost=0.8122, reader_cost=0.0000 | ETA 16:18:56 2020-12-15 11:27:03 [INFO] [TRAIN] epoch=21, iter=7690/80000, loss=0.3567, lr=0.009131, batch_cost=0.7980, reader_cost=0.0001 | ETA 16:01:45 2020-12-15 11:27:11 [INFO] [TRAIN] epoch=21, iter=7700/80000, loss=0.2731, lr=0.009130, batch_cost=0.8082, reader_cost=0.0001 | ETA 16:13:49 2020-12-15 11:27:19 [INFO] [TRAIN] epoch=21, iter=7710/80000, loss=0.2491, lr=0.009128, batch_cost=0.7939, reader_cost=0.0001 | ETA 15:56:32 2020-12-15 11:27:27 [INFO] [TRAIN] epoch=21, iter=7720/80000, loss=0.2802, lr=0.009127, batch_cost=0.7928, reader_cost=0.0001 | ETA 15:55:03 2020-12-15 11:27:35 [INFO] [TRAIN] epoch=21, iter=7730/80000, loss=0.2211, lr=0.009126, batch_cost=0.7910, reader_cost=0.0000 | ETA 15:52:43 2020-12-15 11:27:43 [INFO] [TRAIN] epoch=21, iter=7740/80000, loss=0.3154, lr=0.009125, batch_cost=0.8004, reader_cost=0.0000 | ETA 16:03:59 2020-12-15 11:27:51 [INFO] [TRAIN] epoch=21, iter=7750/80000, loss=0.2227, lr=0.009124, batch_cost=0.7998, reader_cost=0.0001 | ETA 16:03:04 2020-12-15 11:27:59 [INFO] [TRAIN] epoch=21, iter=7760/80000, loss=0.2184, lr=0.009123, batch_cost=0.8128, reader_cost=0.0000 | ETA 16:18:35 2020-12-15 11:28:07 [INFO] [TRAIN] epoch=21, iter=7770/80000, loss=0.2479, lr=0.009122, batch_cost=0.7915, reader_cost=0.0000 | ETA 15:52:52 2020-12-15 11:28:15 [INFO] [TRAIN] epoch=21, iter=7780/80000, loss=0.3116, lr=0.009120, batch_cost=0.7929, reader_cost=0.0000 | ETA 15:54:24 2020-12-15 11:28:23 [INFO] [TRAIN] epoch=21, iter=7790/80000, loss=0.2149, lr=0.009119, batch_cost=0.7843, reader_cost=0.0000 | ETA 15:43:55 2020-12-15 11:28:31 [INFO] [TRAIN] epoch=21, iter=7800/80000, loss=0.2510, lr=0.009118, batch_cost=0.8020, reader_cost=0.0001 | ETA 16:05:06 2020-12-15 11:28:39 [INFO] [TRAIN] epoch=21, iter=7810/80000, loss=0.3268, lr=0.009117, batch_cost=0.7673, reader_cost=0.0000 | ETA 15:23:14 2020-12-15 11:28:48 [INFO] [TRAIN] epoch=22, iter=7820/80000, loss=0.1813, lr=0.009116, batch_cost=0.9092, reader_cost=0.0801 | ETA 18:13:44 2020-12-15 11:28:56 [INFO] [TRAIN] epoch=22, iter=7830/80000, loss=0.2948, lr=0.009115, batch_cost=0.7905, reader_cost=0.0000 | ETA 15:50:47 2020-12-15 11:29:04 [INFO] [TRAIN] epoch=22, iter=7840/80000, loss=0.3230, lr=0.009114, batch_cost=0.7936, reader_cost=0.0000 | ETA 15:54:24 2020-12-15 11:29:12 [INFO] [TRAIN] epoch=22, iter=7850/80000, loss=0.3396, lr=0.009112, batch_cost=0.8095, reader_cost=0.0001 | ETA 16:13:23 2020-12-15 11:29:20 [INFO] [TRAIN] epoch=22, iter=7860/80000, loss=0.4461, lr=0.009111, batch_cost=0.8124, reader_cost=0.0001 | ETA 16:16:50 2020-12-15 11:29:28 [INFO] [TRAIN] epoch=22, iter=7870/80000, loss=0.2840, lr=0.009110, batch_cost=0.7915, reader_cost=0.0000 | ETA 15:51:31 2020-12-15 11:29:36 [INFO] [TRAIN] epoch=22, iter=7880/80000, loss=0.2796, lr=0.009109, batch_cost=0.7883, reader_cost=0.0000 | ETA 15:47:31 2020-12-15 11:29:44 [INFO] [TRAIN] epoch=22, iter=7890/80000, loss=0.2237, lr=0.009108, batch_cost=0.7918, reader_cost=0.0000 | ETA 15:51:36 2020-12-15 11:29:51 [INFO] [TRAIN] epoch=22, iter=7900/80000, loss=0.2450, lr=0.009107, batch_cost=0.7941, reader_cost=0.0000 | ETA 15:54:14 2020-12-15 11:29:59 [INFO] [TRAIN] epoch=22, iter=7910/80000, loss=0.2621, lr=0.009106, batch_cost=0.7952, reader_cost=0.0001 | ETA 15:55:24 2020-12-15 11:30:07 [INFO] [TRAIN] epoch=22, iter=7920/80000, loss=0.3976, lr=0.009105, batch_cost=0.7883, reader_cost=0.0001 | ETA 15:46:58 2020-12-15 11:30:15 [INFO] [TRAIN] epoch=22, iter=7930/80000, loss=0.1909, lr=0.009103, batch_cost=0.8018, reader_cost=0.0000 | ETA 16:03:08 2020-12-15 11:30:23 [INFO] [TRAIN] epoch=22, iter=7940/80000, loss=0.2125, lr=0.009102, batch_cost=0.7928, reader_cost=0.0000 | ETA 15:52:09 2020-12-15 11:30:31 [INFO] [TRAIN] epoch=22, iter=7950/80000, loss=0.3125, lr=0.009101, batch_cost=0.7983, reader_cost=0.0000 | ETA 15:58:35 2020-12-15 11:30:39 [INFO] [TRAIN] epoch=22, iter=7960/80000, loss=0.2868, lr=0.009100, batch_cost=0.8040, reader_cost=0.0001 | ETA 16:05:18 2020-12-15 11:30:47 [INFO] [TRAIN] epoch=22, iter=7970/80000, loss=0.2812, lr=0.009099, batch_cost=0.8002, reader_cost=0.0001 | ETA 16:00:36 2020-12-15 11:30:55 [INFO] [TRAIN] epoch=22, iter=7980/80000, loss=0.1870, lr=0.009098, batch_cost=0.7927, reader_cost=0.0000 | ETA 15:51:28 2020-12-15 11:31:03 [INFO] [TRAIN] epoch=22, iter=7990/80000, loss=0.3425, lr=0.009097, batch_cost=0.7940, reader_cost=0.0001 | ETA 15:52:58 2020-12-15 11:31:11 [INFO] [TRAIN] epoch=22, iter=8000/80000, loss=0.3335, lr=0.009095, batch_cost=0.8076, reader_cost=0.0000 | ETA 16:09:04 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 11:31:11 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 11:32:01 [INFO] [EVAL] #Images=500 mIoU=0.6406 Acc=0.9365 Kappa=0.9175 2020-12-15 11:32:01 [INFO] [EVAL] Class IoU: [0.9657 0.736 0.8898 0.3674 0.4726 0.526 0.5801 0.7016 0.8985 0.5053 0.9154 0.7306 0.4937 0.9028 0.4624 0.5047 0.5096 0.3324 0.6768] 2020-12-15 11:32:01 [INFO] [EVAL] Class Acc: [0.9754 0.8713 0.9398 0.6848 0.7218 0.6663 0.6734 0.8676 0.9468 0.7275 0.939 0.8117 0.5934 0.9716 0.8779 0.6011 0.6361 0.3912 0.7699] 2020-12-15 11:32:07 [INFO] [EVAL] The model with the best validation mIoU (0.6616) was saved at iter 7000. 2020-12-15 11:32:14 [INFO] [TRAIN] epoch=22, iter=8010/80000, loss=0.2395, lr=0.009094, batch_cost=0.7806, reader_cost=0.0001 | ETA 15:36:33 2020-12-15 11:32:22 [INFO] [TRAIN] epoch=22, iter=8020/80000, loss=0.4452, lr=0.009093, batch_cost=0.8025, reader_cost=0.0000 | ETA 16:02:46 2020-12-15 11:32:30 [INFO] [TRAIN] epoch=22, iter=8030/80000, loss=0.2887, lr=0.009092, batch_cost=0.7991, reader_cost=0.0000 | ETA 15:58:30 2020-12-15 11:32:38 [INFO] [TRAIN] epoch=22, iter=8040/80000, loss=0.2386, lr=0.009091, batch_cost=0.7871, reader_cost=0.0000 | ETA 15:43:58 2020-12-15 11:32:46 [INFO] [TRAIN] epoch=22, iter=8050/80000, loss=0.3500, lr=0.009090, batch_cost=0.7942, reader_cost=0.0000 | ETA 15:52:23 2020-12-15 11:32:54 [INFO] [TRAIN] epoch=22, iter=8060/80000, loss=0.2080, lr=0.009089, batch_cost=0.7978, reader_cost=0.0000 | ETA 15:56:33 2020-12-15 11:33:02 [INFO] [TRAIN] epoch=22, iter=8070/80000, loss=0.2082, lr=0.009087, batch_cost=0.7918, reader_cost=0.0001 | ETA 15:49:17 2020-12-15 11:33:10 [INFO] [TRAIN] epoch=22, iter=8080/80000, loss=0.3935, lr=0.009086, batch_cost=0.8006, reader_cost=0.0000 | ETA 15:59:37 2020-12-15 11:33:18 [INFO] [TRAIN] epoch=22, iter=8090/80000, loss=0.2174, lr=0.009085, batch_cost=0.7925, reader_cost=0.0000 | ETA 15:49:51 2020-12-15 11:33:26 [INFO] [TRAIN] epoch=22, iter=8100/80000, loss=0.3873, lr=0.009084, batch_cost=0.7901, reader_cost=0.0000 | ETA 15:46:45 2020-12-15 11:33:34 [INFO] [TRAIN] epoch=22, iter=8110/80000, loss=0.4355, lr=0.009083, batch_cost=0.8058, reader_cost=0.0001 | ETA 16:05:28 2020-12-15 11:33:42 [INFO] [TRAIN] epoch=22, iter=8120/80000, loss=0.4722, lr=0.009082, batch_cost=0.8062, reader_cost=0.0001 | ETA 16:05:47 2020-12-15 11:33:50 [INFO] [TRAIN] epoch=22, iter=8130/80000, loss=0.3359, lr=0.009081, batch_cost=0.8079, reader_cost=0.0000 | ETA 16:07:46 2020-12-15 11:33:58 [INFO] [TRAIN] epoch=22, iter=8140/80000, loss=0.3224, lr=0.009080, batch_cost=0.7930, reader_cost=0.0001 | ETA 15:49:44 2020-12-15 11:34:06 [INFO] [TRAIN] epoch=22, iter=8150/80000, loss=0.3150, lr=0.009078, batch_cost=0.7958, reader_cost=0.0000 | ETA 15:52:57 2020-12-15 11:34:14 [INFO] [TRAIN] epoch=22, iter=8160/80000, loss=0.3086, lr=0.009077, batch_cost=0.7952, reader_cost=0.0000 | ETA 15:52:04 2020-12-15 11:34:22 [INFO] [TRAIN] epoch=22, iter=8170/80000, loss=0.3680, lr=0.009076, batch_cost=0.8037, reader_cost=0.0001 | ETA 16:02:06 2020-12-15 11:34:30 [INFO] [TRAIN] epoch=22, iter=8180/80000, loss=0.2800, lr=0.009075, batch_cost=0.7888, reader_cost=0.0001 | ETA 15:44:10 2020-12-15 11:34:39 [INFO] [TRAIN] epoch=23, iter=8190/80000, loss=0.3197, lr=0.009074, batch_cost=0.9013, reader_cost=0.0643 | ETA 17:58:41 2020-12-15 11:34:47 [INFO] [TRAIN] epoch=23, iter=8200/80000, loss=0.2478, lr=0.009073, batch_cost=0.8031, reader_cost=0.0001 | ETA 16:01:05 2020-12-15 11:34:55 [INFO] [TRAIN] epoch=23, iter=8210/80000, loss=0.2427, lr=0.009072, batch_cost=0.7996, reader_cost=0.0001 | ETA 15:56:44 2020-12-15 11:35:03 [INFO] [TRAIN] epoch=23, iter=8220/80000, loss=0.2494, lr=0.009070, batch_cost=0.7789, reader_cost=0.0001 | ETA 15:31:50 2020-12-15 11:35:11 [INFO] [TRAIN] epoch=23, iter=8230/80000, loss=0.2633, lr=0.009069, batch_cost=0.8005, reader_cost=0.0001 | ETA 15:57:28 2020-12-15 11:35:19 [INFO] [TRAIN] epoch=23, iter=8240/80000, loss=0.3382, lr=0.009068, batch_cost=0.7917, reader_cost=0.0001 | ETA 15:46:55 2020-12-15 11:35:27 [INFO] [TRAIN] epoch=23, iter=8250/80000, loss=0.2960, lr=0.009067, batch_cost=0.7960, reader_cost=0.0001 | ETA 15:51:55 2020-12-15 11:35:35 [INFO] [TRAIN] epoch=23, iter=8260/80000, loss=0.3366, lr=0.009066, batch_cost=0.8032, reader_cost=0.0001 | ETA 16:00:24 2020-12-15 11:35:43 [INFO] [TRAIN] epoch=23, iter=8270/80000, loss=0.5181, lr=0.009065, batch_cost=0.7935, reader_cost=0.0001 | ETA 15:48:35 2020-12-15 11:35:51 [INFO] [TRAIN] epoch=23, iter=8280/80000, loss=0.4176, lr=0.009064, batch_cost=0.7929, reader_cost=0.0001 | ETA 15:47:46 2020-12-15 11:35:58 [INFO] [TRAIN] epoch=23, iter=8290/80000, loss=0.2417, lr=0.009062, batch_cost=0.7907, reader_cost=0.0001 | ETA 15:45:01 2020-12-15 11:36:07 [INFO] [TRAIN] epoch=23, iter=8300/80000, loss=0.4076, lr=0.009061, batch_cost=0.8061, reader_cost=0.0001 | ETA 16:03:15 2020-12-15 11:36:15 [INFO] [TRAIN] epoch=23, iter=8310/80000, loss=0.2778, lr=0.009060, batch_cost=0.8095, reader_cost=0.0000 | ETA 16:07:14 2020-12-15 11:36:23 [INFO] [TRAIN] epoch=23, iter=8320/80000, loss=0.2815, lr=0.009059, batch_cost=0.7997, reader_cost=0.0000 | ETA 15:55:21 2020-12-15 11:36:30 [INFO] [TRAIN] epoch=23, iter=8330/80000, loss=0.4896, lr=0.009058, batch_cost=0.7824, reader_cost=0.0001 | ETA 15:34:34 2020-12-15 11:36:38 [INFO] [TRAIN] epoch=23, iter=8340/80000, loss=0.2716, lr=0.009057, batch_cost=0.7937, reader_cost=0.0000 | ETA 15:47:59 2020-12-15 11:36:46 [INFO] [TRAIN] epoch=23, iter=8350/80000, loss=0.3206, lr=0.009056, batch_cost=0.7953, reader_cost=0.0001 | ETA 15:49:42 2020-12-15 11:36:54 [INFO] [TRAIN] epoch=23, iter=8360/80000, loss=0.2782, lr=0.009055, batch_cost=0.7985, reader_cost=0.0000 | ETA 15:53:27 2020-12-15 11:37:02 [INFO] [TRAIN] epoch=23, iter=8370/80000, loss=0.1917, lr=0.009053, batch_cost=0.7786, reader_cost=0.0000 | ETA 15:29:33 2020-12-15 11:37:10 [INFO] [TRAIN] epoch=23, iter=8380/80000, loss=0.2731, lr=0.009052, batch_cost=0.7976, reader_cost=0.0000 | ETA 15:52:04 2020-12-15 11:37:18 [INFO] [TRAIN] epoch=23, iter=8390/80000, loss=0.3367, lr=0.009051, batch_cost=0.7920, reader_cost=0.0000 | ETA 15:45:11 2020-12-15 11:37:26 [INFO] [TRAIN] epoch=23, iter=8400/80000, loss=0.3436, lr=0.009050, batch_cost=0.8005, reader_cost=0.0001 | ETA 15:55:18 2020-12-15 11:37:34 [INFO] [TRAIN] epoch=23, iter=8410/80000, loss=0.5690, lr=0.009049, batch_cost=0.7895, reader_cost=0.0001 | ETA 15:42:02 2020-12-15 11:37:42 [INFO] [TRAIN] epoch=23, iter=8420/80000, loss=0.3082, lr=0.009048, batch_cost=0.8095, reader_cost=0.0001 | ETA 16:05:40 2020-12-15 11:37:50 [INFO] [TRAIN] epoch=23, iter=8430/80000, loss=0.3635, lr=0.009047, batch_cost=0.7934, reader_cost=0.0001 | ETA 15:46:21 2020-12-15 11:37:58 [INFO] [TRAIN] epoch=23, iter=8440/80000, loss=0.2373, lr=0.009045, batch_cost=0.7990, reader_cost=0.0001 | ETA 15:52:56 2020-12-15 11:38:06 [INFO] [TRAIN] epoch=23, iter=8450/80000, loss=0.2779, lr=0.009044, batch_cost=0.7883, reader_cost=0.0001 | ETA 15:40:06 2020-12-15 11:38:14 [INFO] [TRAIN] epoch=23, iter=8460/80000, loss=0.3415, lr=0.009043, batch_cost=0.7962, reader_cost=0.0001 | ETA 15:49:20 2020-12-15 11:38:22 [INFO] [TRAIN] epoch=23, iter=8470/80000, loss=0.2827, lr=0.009042, batch_cost=0.7949, reader_cost=0.0001 | ETA 15:47:42 2020-12-15 11:38:30 [INFO] [TRAIN] epoch=23, iter=8480/80000, loss=0.3378, lr=0.009041, batch_cost=0.7906, reader_cost=0.0001 | ETA 15:42:20 2020-12-15 11:38:38 [INFO] [TRAIN] epoch=23, iter=8490/80000, loss=0.3442, lr=0.009040, batch_cost=0.7943, reader_cost=0.0001 | ETA 15:46:41 2020-12-15 11:38:45 [INFO] [TRAIN] epoch=23, iter=8500/80000, loss=0.3010, lr=0.009039, batch_cost=0.7866, reader_cost=0.0001 | ETA 15:37:20 2020-12-15 11:38:53 [INFO] [TRAIN] epoch=23, iter=8510/80000, loss=0.4703, lr=0.009037, batch_cost=0.7884, reader_cost=0.0001 | ETA 15:39:22 2020-12-15 11:39:01 [INFO] [TRAIN] epoch=23, iter=8520/80000, loss=0.2559, lr=0.009036, batch_cost=0.7992, reader_cost=0.0001 | ETA 15:52:10 2020-12-15 11:39:09 [INFO] [TRAIN] epoch=23, iter=8530/80000, loss=0.3092, lr=0.009035, batch_cost=0.8039, reader_cost=0.0001 | ETA 15:57:34 2020-12-15 11:39:17 [INFO] [TRAIN] epoch=23, iter=8540/80000, loss=0.2982, lr=0.009034, batch_cost=0.7914, reader_cost=0.0001 | ETA 15:42:31 2020-12-15 11:39:25 [INFO] [TRAIN] epoch=23, iter=8550/80000, loss=0.2978, lr=0.009033, batch_cost=0.8026, reader_cost=0.0001 | ETA 15:55:45 2020-12-15 11:39:34 [INFO] [TRAIN] epoch=24, iter=8560/80000, loss=0.2562, lr=0.009032, batch_cost=0.8743, reader_cost=0.0595 | ETA 17:20:59 2020-12-15 11:39:42 [INFO] [TRAIN] epoch=24, iter=8570/80000, loss=0.3419, lr=0.009031, batch_cost=0.8203, reader_cost=0.0001 | ETA 16:16:35 2020-12-15 11:39:50 [INFO] [TRAIN] epoch=24, iter=8580/80000, loss=0.2960, lr=0.009029, batch_cost=0.7935, reader_cost=0.0001 | ETA 15:44:30 2020-12-15 11:39:58 [INFO] [TRAIN] epoch=24, iter=8590/80000, loss=0.2912, lr=0.009028, batch_cost=0.7915, reader_cost=0.0001 | ETA 15:41:59 2020-12-15 11:40:06 [INFO] [TRAIN] epoch=24, iter=8600/80000, loss=0.3181, lr=0.009027, batch_cost=0.7891, reader_cost=0.0000 | ETA 15:38:58 2020-12-15 11:40:14 [INFO] [TRAIN] epoch=24, iter=8610/80000, loss=0.2562, lr=0.009026, batch_cost=0.8046, reader_cost=0.0000 | ETA 15:57:16 2020-12-15 11:40:22 [INFO] [TRAIN] epoch=24, iter=8620/80000, loss=0.3024, lr=0.009025, batch_cost=0.8122, reader_cost=0.0001 | ETA 16:06:15 2020-12-15 11:40:30 [INFO] [TRAIN] epoch=24, iter=8630/80000, loss=0.4588, lr=0.009024, batch_cost=0.8088, reader_cost=0.0000 | ETA 16:02:01 2020-12-15 11:40:38 [INFO] [TRAIN] epoch=24, iter=8640/80000, loss=0.5341, lr=0.009023, batch_cost=0.7901, reader_cost=0.0001 | ETA 15:39:38 2020-12-15 11:40:46 [INFO] [TRAIN] epoch=24, iter=8650/80000, loss=0.4201, lr=0.009022, batch_cost=0.8070, reader_cost=0.0001 | ETA 15:59:36 2020-12-15 11:40:54 [INFO] [TRAIN] epoch=24, iter=8660/80000, loss=0.3126, lr=0.009020, batch_cost=0.7899, reader_cost=0.0001 | ETA 15:39:14 2020-12-15 11:41:02 [INFO] [TRAIN] epoch=24, iter=8670/80000, loss=0.2714, lr=0.009019, batch_cost=0.8034, reader_cost=0.0001 | ETA 15:55:08 2020-12-15 11:41:10 [INFO] [TRAIN] epoch=24, iter=8680/80000, loss=0.4551, lr=0.009018, batch_cost=0.8076, reader_cost=0.0001 | ETA 16:00:00 2020-12-15 11:41:18 [INFO] [TRAIN] epoch=24, iter=8690/80000, loss=0.2011, lr=0.009017, batch_cost=0.7872, reader_cost=0.0001 | ETA 15:35:32 2020-12-15 11:41:26 [INFO] [TRAIN] epoch=24, iter=8700/80000, loss=0.2757, lr=0.009016, batch_cost=0.7908, reader_cost=0.0001 | ETA 15:39:43 2020-12-15 11:41:34 [INFO] [TRAIN] epoch=24, iter=8710/80000, loss=0.2948, lr=0.009015, batch_cost=0.7894, reader_cost=0.0000 | ETA 15:37:54 2020-12-15 11:41:42 [INFO] [TRAIN] epoch=24, iter=8720/80000, loss=0.3203, lr=0.009014, batch_cost=0.8053, reader_cost=0.0001 | ETA 15:56:43 2020-12-15 11:41:50 [INFO] [TRAIN] epoch=24, iter=8730/80000, loss=0.3075, lr=0.009012, batch_cost=0.7824, reader_cost=0.0001 | ETA 15:29:20 2020-12-15 11:41:58 [INFO] [TRAIN] epoch=24, iter=8740/80000, loss=0.3458, lr=0.009011, batch_cost=0.8074, reader_cost=0.0001 | ETA 15:58:52 2020-12-15 11:42:06 [INFO] [TRAIN] epoch=24, iter=8750/80000, loss=0.2983, lr=0.009010, batch_cost=0.7896, reader_cost=0.0001 | ETA 15:37:35 2020-12-15 11:42:14 [INFO] [TRAIN] epoch=24, iter=8760/80000, loss=0.2517, lr=0.009009, batch_cost=0.7972, reader_cost=0.0001 | ETA 15:46:32 2020-12-15 11:42:22 [INFO] [TRAIN] epoch=24, iter=8770/80000, loss=0.2560, lr=0.009008, batch_cost=0.8057, reader_cost=0.0001 | ETA 15:56:29 2020-12-15 11:42:30 [INFO] [TRAIN] epoch=24, iter=8780/80000, loss=0.2587, lr=0.009007, batch_cost=0.7934, reader_cost=0.0001 | ETA 15:41:47 2020-12-15 11:42:38 [INFO] [TRAIN] epoch=24, iter=8790/80000, loss=0.3480, lr=0.009006, batch_cost=0.7828, reader_cost=0.0000 | ETA 15:29:02 2020-12-15 11:42:45 [INFO] [TRAIN] epoch=24, iter=8800/80000, loss=0.3087, lr=0.009004, batch_cost=0.7877, reader_cost=0.0000 | ETA 15:34:41 2020-12-15 11:42:53 [INFO] [TRAIN] epoch=24, iter=8810/80000, loss=0.2098, lr=0.009003, batch_cost=0.7884, reader_cost=0.0001 | ETA 15:35:24 2020-12-15 11:43:01 [INFO] [TRAIN] epoch=24, iter=8820/80000, loss=0.2105, lr=0.009002, batch_cost=0.7941, reader_cost=0.0000 | ETA 15:42:06 2020-12-15 11:43:09 [INFO] [TRAIN] epoch=24, iter=8830/80000, loss=0.2620, lr=0.009001, batch_cost=0.7928, reader_cost=0.0000 | ETA 15:40:22 2020-12-15 11:43:17 [INFO] [TRAIN] epoch=24, iter=8840/80000, loss=0.2823, lr=0.009000, batch_cost=0.7918, reader_cost=0.0000 | ETA 15:39:04 2020-12-15 11:43:25 [INFO] [TRAIN] epoch=24, iter=8850/80000, loss=0.2406, lr=0.008999, batch_cost=0.7838, reader_cost=0.0000 | ETA 15:29:26 2020-12-15 11:43:33 [INFO] [TRAIN] epoch=24, iter=8860/80000, loss=0.2417, lr=0.008998, batch_cost=0.7950, reader_cost=0.0001 | ETA 15:42:34 2020-12-15 11:43:41 [INFO] [TRAIN] epoch=24, iter=8870/80000, loss=0.3033, lr=0.008996, batch_cost=0.7986, reader_cost=0.0001 | ETA 15:46:41 2020-12-15 11:43:49 [INFO] [TRAIN] epoch=24, iter=8880/80000, loss=0.2910, lr=0.008995, batch_cost=0.8023, reader_cost=0.0001 | ETA 15:51:00 2020-12-15 11:43:57 [INFO] [TRAIN] epoch=24, iter=8890/80000, loss=0.3128, lr=0.008994, batch_cost=0.7890, reader_cost=0.0001 | ETA 15:35:04 2020-12-15 11:44:05 [INFO] [TRAIN] epoch=24, iter=8900/80000, loss=0.2194, lr=0.008993, batch_cost=0.7922, reader_cost=0.0001 | ETA 15:38:46 2020-12-15 11:44:13 [INFO] [TRAIN] epoch=24, iter=8910/80000, loss=0.3158, lr=0.008992, batch_cost=0.7989, reader_cost=0.0001 | ETA 15:46:35 2020-12-15 11:44:21 [INFO] [TRAIN] epoch=24, iter=8920/80000, loss=0.2576, lr=0.008991, batch_cost=0.7918, reader_cost=0.0001 | ETA 15:37:58 2020-12-15 11:44:29 [INFO] [TRAIN] epoch=25, iter=8930/80000, loss=0.2547, lr=0.008990, batch_cost=0.8540, reader_cost=0.0694 | ETA 16:51:37 2020-12-15 11:44:37 [INFO] [TRAIN] epoch=25, iter=8940/80000, loss=0.2448, lr=0.008988, batch_cost=0.8244, reader_cost=0.0001 | ETA 16:16:19 2020-12-15 11:44:45 [INFO] [TRAIN] epoch=25, iter=8950/80000, loss=0.3166, lr=0.008987, batch_cost=0.8059, reader_cost=0.0001 | ETA 15:54:18 2020-12-15 11:44:53 [INFO] [TRAIN] epoch=25, iter=8960/80000, loss=0.2511, lr=0.008986, batch_cost=0.7836, reader_cost=0.0001 | ETA 15:27:47 2020-12-15 11:45:01 [INFO] [TRAIN] epoch=25, iter=8970/80000, loss=0.2907, lr=0.008985, batch_cost=0.7916, reader_cost=0.0001 | ETA 15:37:07 2020-12-15 11:45:09 [INFO] [TRAIN] epoch=25, iter=8980/80000, loss=0.4530, lr=0.008984, batch_cost=0.8107, reader_cost=0.0001 | ETA 15:59:37 2020-12-15 11:45:18 [INFO] [TRAIN] epoch=25, iter=8990/80000, loss=0.2852, lr=0.008983, batch_cost=0.8233, reader_cost=0.0000 | ETA 16:14:21 2020-12-15 11:45:25 [INFO] [TRAIN] epoch=25, iter=9000/80000, loss=0.2436, lr=0.008982, batch_cost=0.7891, reader_cost=0.0001 | ETA 15:33:43 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 11:45:25 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 11:46:15 [INFO] [EVAL] #Images=500 mIoU=0.6701 Acc=0.9439 Kappa=0.9270 2020-12-15 11:46:15 [INFO] [EVAL] Class IoU: [0.9719 0.7819 0.9008 0.2977 0.4957 0.5398 0.588 0.7084 0.8987 0.4763 0.927 0.7586 0.5149 0.9211 0.5225 0.7164 0.6277 0.3932 0.6919] 2020-12-15 11:46:15 [INFO] [EVAL] Class Acc: [0.9825 0.8895 0.9426 0.797 0.7923 0.7327 0.6797 0.8535 0.9287 0.883 0.947 0.8397 0.6338 0.957 0.7816 0.8565 0.831 0.4868 0.8622] 2020-12-15 11:46:24 [INFO] [EVAL] The model with the best validation mIoU (0.6701) was saved at iter 9000. 2020-12-15 11:46:32 [INFO] [TRAIN] epoch=25, iter=9010/80000, loss=0.2359, lr=0.008981, batch_cost=0.7915, reader_cost=0.0001 | ETA 15:36:27 2020-12-15 11:46:40 [INFO] [TRAIN] epoch=25, iter=9020/80000, loss=0.2533, lr=0.008979, batch_cost=0.7959, reader_cost=0.0000 | ETA 15:41:34 2020-12-15 11:46:48 [INFO] [TRAIN] epoch=25, iter=9030/80000, loss=0.3642, lr=0.008978, batch_cost=0.7995, reader_cost=0.0000 | ETA 15:45:42 2020-12-15 11:46:56 [INFO] [TRAIN] epoch=25, iter=9040/80000, loss=0.3445, lr=0.008977, batch_cost=0.7894, reader_cost=0.0000 | ETA 15:33:39 2020-12-15 11:47:04 [INFO] [TRAIN] epoch=25, iter=9050/80000, loss=0.4520, lr=0.008976, batch_cost=0.7869, reader_cost=0.0001 | ETA 15:30:31 2020-12-15 11:47:12 [INFO] [TRAIN] epoch=25, iter=9060/80000, loss=0.2296, lr=0.008975, batch_cost=0.7915, reader_cost=0.0000 | ETA 15:35:49 2020-12-15 11:47:19 [INFO] [TRAIN] epoch=25, iter=9070/80000, loss=0.1717, lr=0.008974, batch_cost=0.7882, reader_cost=0.0000 | ETA 15:31:45 2020-12-15 11:47:27 [INFO] [TRAIN] epoch=25, iter=9080/80000, loss=0.3565, lr=0.008973, batch_cost=0.7766, reader_cost=0.0000 | ETA 15:17:59 2020-12-15 11:47:35 [INFO] [TRAIN] epoch=25, iter=9090/80000, loss=0.1823, lr=0.008971, batch_cost=0.7916, reader_cost=0.0001 | ETA 15:35:30 2020-12-15 11:47:43 [INFO] [TRAIN] epoch=25, iter=9100/80000, loss=0.3330, lr=0.008970, batch_cost=0.7825, reader_cost=0.0001 | ETA 15:24:36 2020-12-15 11:47:51 [INFO] [TRAIN] epoch=25, iter=9110/80000, loss=0.2853, lr=0.008969, batch_cost=0.8027, reader_cost=0.0000 | ETA 15:48:24 2020-12-15 11:47:59 [INFO] [TRAIN] epoch=25, iter=9120/80000, loss=0.3160, lr=0.008968, batch_cost=0.7986, reader_cost=0.0000 | ETA 15:43:21 2020-12-15 11:48:07 [INFO] [TRAIN] epoch=25, iter=9130/80000, loss=0.7076, lr=0.008967, batch_cost=0.7855, reader_cost=0.0000 | ETA 15:27:51 2020-12-15 11:48:15 [INFO] [TRAIN] epoch=25, iter=9140/80000, loss=0.2121, lr=0.008966, batch_cost=0.7852, reader_cost=0.0001 | ETA 15:27:21 2020-12-15 11:48:23 [INFO] [TRAIN] epoch=25, iter=9150/80000, loss=0.3410, lr=0.008965, batch_cost=0.7942, reader_cost=0.0001 | ETA 15:37:50 2020-12-15 11:48:31 [INFO] [TRAIN] epoch=25, iter=9160/80000, loss=0.2993, lr=0.008963, batch_cost=0.7933, reader_cost=0.0001 | ETA 15:36:39 2020-12-15 11:48:39 [INFO] [TRAIN] epoch=25, iter=9170/80000, loss=0.3640, lr=0.008962, batch_cost=0.8034, reader_cost=0.0001 | ETA 15:48:23 2020-12-15 11:48:47 [INFO] [TRAIN] epoch=25, iter=9180/80000, loss=0.4970, lr=0.008961, batch_cost=0.7974, reader_cost=0.0001 | ETA 15:41:11 2020-12-15 11:48:55 [INFO] [TRAIN] epoch=25, iter=9190/80000, loss=0.3417, lr=0.008960, batch_cost=0.7946, reader_cost=0.0001 | ETA 15:37:44 2020-12-15 11:49:02 [INFO] [TRAIN] epoch=25, iter=9200/80000, loss=0.4769, lr=0.008959, batch_cost=0.7884, reader_cost=0.0001 | ETA 15:30:21 2020-12-15 11:49:10 [INFO] [TRAIN] epoch=25, iter=9210/80000, loss=0.2903, lr=0.008958, batch_cost=0.7990, reader_cost=0.0001 | ETA 15:42:38 2020-12-15 11:49:18 [INFO] [TRAIN] epoch=25, iter=9220/80000, loss=0.4096, lr=0.008957, batch_cost=0.7881, reader_cost=0.0001 | ETA 15:29:42 2020-12-15 11:49:26 [INFO] [TRAIN] epoch=25, iter=9230/80000, loss=0.2780, lr=0.008955, batch_cost=0.7956, reader_cost=0.0001 | ETA 15:38:27 2020-12-15 11:49:34 [INFO] [TRAIN] epoch=25, iter=9240/80000, loss=0.3865, lr=0.008954, batch_cost=0.7992, reader_cost=0.0001 | ETA 15:42:28 2020-12-15 11:49:42 [INFO] [TRAIN] epoch=25, iter=9250/80000, loss=0.2920, lr=0.008953, batch_cost=0.7896, reader_cost=0.0001 | ETA 15:31:03 2020-12-15 11:49:50 [INFO] [TRAIN] epoch=25, iter=9260/80000, loss=0.3483, lr=0.008952, batch_cost=0.8009, reader_cost=0.0001 | ETA 15:44:14 2020-12-15 11:49:58 [INFO] [TRAIN] epoch=25, iter=9270/80000, loss=0.3299, lr=0.008951, batch_cost=0.8088, reader_cost=0.0000 | ETA 15:53:26 2020-12-15 11:50:06 [INFO] [TRAIN] epoch=25, iter=9280/80000, loss=0.4835, lr=0.008950, batch_cost=0.7918, reader_cost=0.0001 | ETA 15:33:13 2020-12-15 11:50:14 [INFO] [TRAIN] epoch=25, iter=9290/80000, loss=0.2029, lr=0.008949, batch_cost=0.7950, reader_cost=0.0001 | ETA 15:36:55 2020-12-15 11:50:22 [INFO] [TRAIN] epoch=25, iter=9300/80000, loss=0.2399, lr=0.008948, batch_cost=0.7546, reader_cost=0.0001 | ETA 14:49:11 2020-12-15 11:50:31 [INFO] [TRAIN] epoch=26, iter=9310/80000, loss=0.2825, lr=0.008946, batch_cost=0.9041, reader_cost=0.0555 | ETA 17:45:07 2020-12-15 11:50:39 [INFO] [TRAIN] epoch=26, iter=9320/80000, loss=0.2461, lr=0.008945, batch_cost=0.8022, reader_cost=0.0000 | ETA 15:44:59 2020-12-15 11:50:47 [INFO] [TRAIN] epoch=26, iter=9330/80000, loss=0.2957, lr=0.008944, batch_cost=0.7814, reader_cost=0.0001 | ETA 15:20:25 2020-12-15 11:50:54 [INFO] [TRAIN] epoch=26, iter=9340/80000, loss=0.2281, lr=0.008943, batch_cost=0.7913, reader_cost=0.0000 | ETA 15:31:52 2020-12-15 11:51:02 [INFO] [TRAIN] epoch=26, iter=9350/80000, loss=0.3277, lr=0.008942, batch_cost=0.7959, reader_cost=0.0001 | ETA 15:37:07 2020-12-15 11:51:10 [INFO] [TRAIN] epoch=26, iter=9360/80000, loss=0.2224, lr=0.008941, batch_cost=0.8017, reader_cost=0.0001 | ETA 15:43:49 2020-12-15 11:51:18 [INFO] [TRAIN] epoch=26, iter=9370/80000, loss=0.4079, lr=0.008940, batch_cost=0.7866, reader_cost=0.0000 | ETA 15:25:57 2020-12-15 11:51:26 [INFO] [TRAIN] epoch=26, iter=9380/80000, loss=0.1952, lr=0.008938, batch_cost=0.7981, reader_cost=0.0000 | ETA 15:39:18 2020-12-15 11:51:34 [INFO] [TRAIN] epoch=26, iter=9390/80000, loss=0.2280, lr=0.008937, batch_cost=0.8015, reader_cost=0.0000 | ETA 15:43:12 2020-12-15 11:51:42 [INFO] [TRAIN] epoch=26, iter=9400/80000, loss=0.2054, lr=0.008936, batch_cost=0.7982, reader_cost=0.0000 | ETA 15:39:15 2020-12-15 11:51:50 [INFO] [TRAIN] epoch=26, iter=9410/80000, loss=0.2210, lr=0.008935, batch_cost=0.7980, reader_cost=0.0001 | ETA 15:38:53 2020-12-15 11:51:58 [INFO] [TRAIN] epoch=26, iter=9420/80000, loss=0.2647, lr=0.008934, batch_cost=0.7954, reader_cost=0.0000 | ETA 15:35:39 2020-12-15 11:52:06 [INFO] [TRAIN] epoch=26, iter=9430/80000, loss=0.3717, lr=0.008933, batch_cost=0.7981, reader_cost=0.0000 | ETA 15:38:40 2020-12-15 11:52:14 [INFO] [TRAIN] epoch=26, iter=9440/80000, loss=0.4194, lr=0.008932, batch_cost=0.7909, reader_cost=0.0000 | ETA 15:30:02 2020-12-15 11:52:22 [INFO] [TRAIN] epoch=26, iter=9450/80000, loss=0.2770, lr=0.008930, batch_cost=0.8112, reader_cost=0.0000 | ETA 15:53:47 2020-12-15 11:52:30 [INFO] [TRAIN] epoch=26, iter=9460/80000, loss=0.3769, lr=0.008929, batch_cost=0.7953, reader_cost=0.0001 | ETA 15:35:02 2020-12-15 11:52:38 [INFO] [TRAIN] epoch=26, iter=9470/80000, loss=0.2772, lr=0.008928, batch_cost=0.7874, reader_cost=0.0001 | ETA 15:25:38 2020-12-15 11:52:46 [INFO] [TRAIN] epoch=26, iter=9480/80000, loss=0.2927, lr=0.008927, batch_cost=0.7903, reader_cost=0.0001 | ETA 15:28:54 2020-12-15 11:52:54 [INFO] [TRAIN] epoch=26, iter=9490/80000, loss=0.2877, lr=0.008926, batch_cost=0.8096, reader_cost=0.0001 | ETA 15:51:28 2020-12-15 11:53:02 [INFO] [TRAIN] epoch=26, iter=9500/80000, loss=0.2559, lr=0.008925, batch_cost=0.7820, reader_cost=0.0001 | ETA 15:18:52 2020-12-15 11:53:10 [INFO] [TRAIN] epoch=26, iter=9510/80000, loss=0.1985, lr=0.008924, batch_cost=0.8168, reader_cost=0.0001 | ETA 15:59:38 2020-12-15 11:53:18 [INFO] [TRAIN] epoch=26, iter=9520/80000, loss=0.2789, lr=0.008922, batch_cost=0.8085, reader_cost=0.0000 | ETA 15:49:39 2020-12-15 11:53:26 [INFO] [TRAIN] epoch=26, iter=9530/80000, loss=0.3974, lr=0.008921, batch_cost=0.7899, reader_cost=0.0001 | ETA 15:27:42 2020-12-15 11:53:34 [INFO] [TRAIN] epoch=26, iter=9540/80000, loss=0.3168, lr=0.008920, batch_cost=0.8068, reader_cost=0.0001 | ETA 15:47:27 2020-12-15 11:53:42 [INFO] [TRAIN] epoch=26, iter=9550/80000, loss=0.2419, lr=0.008919, batch_cost=0.7794, reader_cost=0.0001 | ETA 15:15:10 2020-12-15 11:53:50 [INFO] [TRAIN] epoch=26, iter=9560/80000, loss=0.2347, lr=0.008918, batch_cost=0.7923, reader_cost=0.0001 | ETA 15:30:09 2020-12-15 11:53:58 [INFO] [TRAIN] epoch=26, iter=9570/80000, loss=0.3942, lr=0.008917, batch_cost=0.7920, reader_cost=0.0001 | ETA 15:29:42 2020-12-15 11:54:06 [INFO] [TRAIN] epoch=26, iter=9580/80000, loss=0.2485, lr=0.008916, batch_cost=0.7983, reader_cost=0.0001 | ETA 15:36:55 2020-12-15 11:54:14 [INFO] [TRAIN] epoch=26, iter=9590/80000, loss=0.2718, lr=0.008914, batch_cost=0.7961, reader_cost=0.0001 | ETA 15:34:13 2020-12-15 11:54:21 [INFO] [TRAIN] epoch=26, iter=9600/80000, loss=0.2744, lr=0.008913, batch_cost=0.7860, reader_cost=0.0000 | ETA 15:22:10 2020-12-15 11:54:29 [INFO] [TRAIN] epoch=26, iter=9610/80000, loss=0.2543, lr=0.008912, batch_cost=0.7960, reader_cost=0.0001 | ETA 15:33:51 2020-12-15 11:54:37 [INFO] [TRAIN] epoch=26, iter=9620/80000, loss=0.3154, lr=0.008911, batch_cost=0.7935, reader_cost=0.0000 | ETA 15:30:48 2020-12-15 11:54:45 [INFO] [TRAIN] epoch=26, iter=9630/80000, loss=0.2342, lr=0.008910, batch_cost=0.7892, reader_cost=0.0000 | ETA 15:25:38 2020-12-15 11:54:53 [INFO] [TRAIN] epoch=26, iter=9640/80000, loss=0.2700, lr=0.008909, batch_cost=0.7869, reader_cost=0.0000 | ETA 15:22:48 2020-12-15 11:55:01 [INFO] [TRAIN] epoch=26, iter=9650/80000, loss=0.2437, lr=0.008908, batch_cost=0.7941, reader_cost=0.0001 | ETA 15:31:07 2020-12-15 11:55:09 [INFO] [TRAIN] epoch=26, iter=9660/80000, loss=0.1710, lr=0.008906, batch_cost=0.7854, reader_cost=0.0000 | ETA 15:20:48 2020-12-15 11:55:17 [INFO] [TRAIN] epoch=26, iter=9670/80000, loss=0.3739, lr=0.008905, batch_cost=0.7609, reader_cost=0.0000 | ETA 14:51:51 2020-12-15 11:55:26 [INFO] [TRAIN] epoch=27, iter=9680/80000, loss=0.2904, lr=0.008904, batch_cost=0.8958, reader_cost=0.0616 | ETA 17:29:54 2020-12-15 11:55:33 [INFO] [TRAIN] epoch=27, iter=9690/80000, loss=0.2135, lr=0.008903, batch_cost=0.7901, reader_cost=0.0000 | ETA 15:25:51 2020-12-15 11:55:41 [INFO] [TRAIN] epoch=27, iter=9700/80000, loss=0.2539, lr=0.008902, batch_cost=0.7776, reader_cost=0.0001 | ETA 15:11:01 2020-12-15 11:55:49 [INFO] [TRAIN] epoch=27, iter=9710/80000, loss=0.1662, lr=0.008901, batch_cost=0.8161, reader_cost=0.0001 | ETA 15:56:03 2020-12-15 11:55:57 [INFO] [TRAIN] epoch=27, iter=9720/80000, loss=0.2243, lr=0.008900, batch_cost=0.7998, reader_cost=0.0001 | ETA 15:36:47 2020-12-15 11:56:05 [INFO] [TRAIN] epoch=27, iter=9730/80000, loss=0.2199, lr=0.008899, batch_cost=0.8026, reader_cost=0.0001 | ETA 15:40:00 2020-12-15 11:56:13 [INFO] [TRAIN] epoch=27, iter=9740/80000, loss=0.4454, lr=0.008897, batch_cost=0.8028, reader_cost=0.0001 | ETA 15:40:03 2020-12-15 11:56:21 [INFO] [TRAIN] epoch=27, iter=9750/80000, loss=0.3616, lr=0.008896, batch_cost=0.7962, reader_cost=0.0001 | ETA 15:32:09 2020-12-15 11:56:29 [INFO] [TRAIN] epoch=27, iter=9760/80000, loss=0.2237, lr=0.008895, batch_cost=0.8070, reader_cost=0.0001 | ETA 15:44:41 2020-12-15 11:56:37 [INFO] [TRAIN] epoch=27, iter=9770/80000, loss=0.2413, lr=0.008894, batch_cost=0.7769, reader_cost=0.0001 | ETA 15:09:21 2020-12-15 11:56:45 [INFO] [TRAIN] epoch=27, iter=9780/80000, loss=0.3594, lr=0.008893, batch_cost=0.8089, reader_cost=0.0001 | ETA 15:46:39 2020-12-15 11:56:53 [INFO] [TRAIN] epoch=27, iter=9790/80000, loss=0.3754, lr=0.008892, batch_cost=0.7936, reader_cost=0.0001 | ETA 15:28:36 2020-12-15 11:57:01 [INFO] [TRAIN] epoch=27, iter=9800/80000, loss=0.2866, lr=0.008891, batch_cost=0.8074, reader_cost=0.0001 | ETA 15:44:40 2020-12-15 11:57:09 [INFO] [TRAIN] epoch=27, iter=9810/80000, loss=0.2129, lr=0.008889, batch_cost=0.7972, reader_cost=0.0001 | ETA 15:32:36 2020-12-15 11:57:17 [INFO] [TRAIN] epoch=27, iter=9820/80000, loss=0.2649, lr=0.008888, batch_cost=0.7930, reader_cost=0.0000 | ETA 15:27:29 2020-12-15 11:57:25 [INFO] [TRAIN] epoch=27, iter=9830/80000, loss=0.3308, lr=0.008887, batch_cost=0.7896, reader_cost=0.0000 | ETA 15:23:23 2020-12-15 11:57:33 [INFO] [TRAIN] epoch=27, iter=9840/80000, loss=0.2184, lr=0.008886, batch_cost=0.8053, reader_cost=0.0001 | ETA 15:41:42 2020-12-15 11:57:41 [INFO] [TRAIN] epoch=27, iter=9850/80000, loss=0.2499, lr=0.008885, batch_cost=0.7976, reader_cost=0.0000 | ETA 15:32:33 2020-12-15 11:57:49 [INFO] [TRAIN] epoch=27, iter=9860/80000, loss=0.2810, lr=0.008884, batch_cost=0.7868, reader_cost=0.0000 | ETA 15:19:46 2020-12-15 11:57:57 [INFO] [TRAIN] epoch=27, iter=9870/80000, loss=0.3457, lr=0.008883, batch_cost=0.7919, reader_cost=0.0001 | ETA 15:25:35 2020-12-15 11:58:05 [INFO] [TRAIN] epoch=27, iter=9880/80000, loss=0.3384, lr=0.008881, batch_cost=0.8037, reader_cost=0.0000 | ETA 15:39:16 2020-12-15 11:58:13 [INFO] [TRAIN] epoch=27, iter=9890/80000, loss=0.2987, lr=0.008880, batch_cost=0.7906, reader_cost=0.0000 | ETA 15:23:48 2020-12-15 11:58:21 [INFO] [TRAIN] epoch=27, iter=9900/80000, loss=0.3430, lr=0.008879, batch_cost=0.7934, reader_cost=0.0000 | ETA 15:26:57 2020-12-15 11:58:29 [INFO] [TRAIN] epoch=27, iter=9910/80000, loss=0.3084, lr=0.008878, batch_cost=0.7873, reader_cost=0.0001 | ETA 15:19:40 2020-12-15 11:58:37 [INFO] [TRAIN] epoch=27, iter=9920/80000, loss=0.3061, lr=0.008877, batch_cost=0.7914, reader_cost=0.0000 | ETA 15:24:21 2020-12-15 11:58:45 [INFO] [TRAIN] epoch=27, iter=9930/80000, loss=0.2909, lr=0.008876, batch_cost=0.7990, reader_cost=0.0000 | ETA 15:33:06 2020-12-15 11:58:53 [INFO] [TRAIN] epoch=27, iter=9940/80000, loss=0.3596, lr=0.008875, batch_cost=0.7971, reader_cost=0.0000 | ETA 15:30:43 2020-12-15 11:59:00 [INFO] [TRAIN] epoch=27, iter=9950/80000, loss=0.2922, lr=0.008873, batch_cost=0.7861, reader_cost=0.0000 | ETA 15:17:49 2020-12-15 11:59:08 [INFO] [TRAIN] epoch=27, iter=9960/80000, loss=0.3454, lr=0.008872, batch_cost=0.7883, reader_cost=0.0001 | ETA 15:20:10 2020-12-15 11:59:16 [INFO] [TRAIN] epoch=27, iter=9970/80000, loss=0.2607, lr=0.008871, batch_cost=0.8011, reader_cost=0.0001 | ETA 15:35:03 2020-12-15 11:59:24 [INFO] [TRAIN] epoch=27, iter=9980/80000, loss=0.2041, lr=0.008870, batch_cost=0.8113, reader_cost=0.0000 | ETA 15:46:47 2020-12-15 11:59:32 [INFO] [TRAIN] epoch=27, iter=9990/80000, loss=0.2059, lr=0.008869, batch_cost=0.7869, reader_cost=0.0000 | ETA 15:18:08 2020-12-15 11:59:40 [INFO] [TRAIN] epoch=27, iter=10000/80000, loss=0.3150, lr=0.008868, batch_cost=0.7976, reader_cost=0.0000 | ETA 15:30:32 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 11:59:40 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 12:00:30 [INFO] [EVAL] #Images=500 mIoU=0.6436 Acc=0.9422 Kappa=0.9249 2020-12-15 12:00:30 [INFO] [EVAL] Class IoU: [0.9709 0.7845 0.8935 0.2905 0.4953 0.5466 0.6265 0.7199 0.9009 0.5534 0.9325 0.753 0.5117 0.9241 0.4349 0.3784 0.2644 0.5329 0.7148] 2020-12-15 12:00:30 [INFO] [EVAL] Class Acc: [0.9867 0.8705 0.9353 0.8182 0.7533 0.7155 0.8117 0.9038 0.9323 0.7958 0.9673 0.819 0.7043 0.9523 0.9532 0.8662 0.3148 0.7808 0.8262] 2020-12-15 12:00:38 [INFO] [EVAL] The model with the best validation mIoU (0.6701) was saved at iter 9000. 2020-12-15 12:00:49 [INFO] [TRAIN] epoch=27, iter=10010/80000, loss=0.3394, lr=0.008867, batch_cost=1.1602, reader_cost=0.0024 | ETA 22:33:21 2020-12-15 12:01:01 [INFO] [TRAIN] epoch=27, iter=10020/80000, loss=0.1966, lr=0.008865, batch_cost=1.1655, reader_cost=0.0001 | ETA 22:39:23 2020-12-15 12:01:14 [INFO] [TRAIN] epoch=27, iter=10030/80000, loss=0.2469, lr=0.008864, batch_cost=1.2683, reader_cost=0.0001 | ETA 24:39:02 2020-12-15 12:01:25 [INFO] [TRAIN] epoch=27, iter=10040/80000, loss=0.1597, lr=0.008863, batch_cost=1.1588, reader_cost=0.0001 | ETA 22:31:10 2020-12-15 12:01:37 [INFO] [TRAIN] epoch=28, iter=10050/80000, loss=0.2187, lr=0.008862, batch_cost=1.1926, reader_cost=0.0601 | ETA 23:10:21 2020-12-15 12:01:50 [INFO] [TRAIN] epoch=28, iter=10060/80000, loss=0.2264, lr=0.008861, batch_cost=1.2590, reader_cost=0.0001 | ETA 24:27:32 2020-12-15 12:02:02 [INFO] [TRAIN] epoch=28, iter=10070/80000, loss=0.4136, lr=0.008860, batch_cost=1.2094, reader_cost=0.0006 | ETA 23:29:30 2020-12-15 12:02:15 [INFO] [TRAIN] epoch=28, iter=10080/80000, loss=0.2143, lr=0.008859, batch_cost=1.3399, reader_cost=0.0033 | ETA 26:01:22 2020-12-15 12:02:27 [INFO] [TRAIN] epoch=28, iter=10090/80000, loss=0.2479, lr=0.008857, batch_cost=1.1373, reader_cost=0.0001 | ETA 22:05:08 2020-12-15 12:02:39 [INFO] [TRAIN] epoch=28, iter=10100/80000, loss=0.2017, lr=0.008856, batch_cost=1.2101, reader_cost=0.0030 | ETA 23:29:46 2020-12-15 12:02:51 [INFO] [TRAIN] epoch=28, iter=10110/80000, loss=0.1955, lr=0.008855, batch_cost=1.2084, reader_cost=0.0030 | ETA 23:27:37 2020-12-15 12:03:03 [INFO] [TRAIN] epoch=28, iter=10120/80000, loss=0.2071, lr=0.008854, batch_cost=1.2649, reader_cost=0.0002 | ETA 24:33:10 2020-12-15 12:03:17 [INFO] [TRAIN] epoch=28, iter=10130/80000, loss=0.4071, lr=0.008853, batch_cost=1.3197, reader_cost=0.0003 | ETA 25:36:48 2020-12-15 12:03:30 [INFO] [TRAIN] epoch=28, iter=10140/80000, loss=0.2735, lr=0.008852, batch_cost=1.2948, reader_cost=0.0001 | ETA 25:07:37 2020-12-15 12:03:42 [INFO] [TRAIN] epoch=28, iter=10150/80000, loss=0.3529, lr=0.008851, batch_cost=1.2684, reader_cost=0.0016 | ETA 24:36:37 2020-12-15 12:03:55 [INFO] [TRAIN] epoch=28, iter=10160/80000, loss=0.1930, lr=0.008849, batch_cost=1.2515, reader_cost=0.0001 | ETA 24:16:44 2020-12-15 12:04:08 [INFO] [TRAIN] epoch=28, iter=10170/80000, loss=0.2075, lr=0.008848, batch_cost=1.3177, reader_cost=0.0002 | ETA 25:33:34 2020-12-15 12:04:20 [INFO] [TRAIN] epoch=28, iter=10180/80000, loss=0.2560, lr=0.008847, batch_cost=1.2269, reader_cost=0.0001 | ETA 23:47:44 2020-12-15 12:04:29 [INFO] [TRAIN] epoch=28, iter=10190/80000, loss=0.2314, lr=0.008846, batch_cost=0.8632, reader_cost=0.0001 | ETA 16:44:23 2020-12-15 12:04:40 [INFO] [TRAIN] epoch=28, iter=10200/80000, loss=0.2084, lr=0.008845, batch_cost=1.0830, reader_cost=0.0016 | ETA 20:59:56 2020-12-15 12:04:53 [INFO] [TRAIN] epoch=28, iter=10210/80000, loss=0.2494, lr=0.008844, batch_cost=1.2796, reader_cost=0.0002 | ETA 24:48:24 2020-12-15 12:05:04 [INFO] [TRAIN] epoch=28, iter=10220/80000, loss=0.2063, lr=0.008843, batch_cost=1.1635, reader_cost=0.0022 | ETA 22:33:09 2020-12-15 12:05:16 [INFO] [TRAIN] epoch=28, iter=10230/80000, loss=0.2503, lr=0.008842, batch_cost=1.1635, reader_cost=0.0001 | ETA 22:32:57 2020-12-15 12:05:27 [INFO] [TRAIN] epoch=28, iter=10240/80000, loss=0.2327, lr=0.008840, batch_cost=1.0930, reader_cost=0.0025 | ETA 21:10:49 2020-12-15 12:05:40 [INFO] [TRAIN] epoch=28, iter=10250/80000, loss=0.2444, lr=0.008839, batch_cost=1.2988, reader_cost=0.0005 | ETA 25:09:54 2020-12-15 12:05:52 [INFO] [TRAIN] epoch=28, iter=10260/80000, loss=0.2525, lr=0.008838, batch_cost=1.1982, reader_cost=0.0024 | ETA 23:12:39 2020-12-15 12:06:04 [INFO] [TRAIN] epoch=28, iter=10270/80000, loss=0.2998, lr=0.008837, batch_cost=1.1863, reader_cost=0.0001 | ETA 22:58:41 2020-12-15 12:06:15 [INFO] [TRAIN] epoch=28, iter=10280/80000, loss=0.1898, lr=0.008836, batch_cost=1.1747, reader_cost=0.0001 | ETA 22:45:00 2020-12-15 12:06:27 [INFO] [TRAIN] epoch=28, iter=10290/80000, loss=0.2178, lr=0.008835, batch_cost=1.2116, reader_cost=0.0020 | ETA 23:27:40 2020-12-15 12:06:39 [INFO] [TRAIN] epoch=28, iter=10300/80000, loss=0.2929, lr=0.008834, batch_cost=1.1705, reader_cost=0.0007 | ETA 22:39:46 2020-12-15 12:06:52 [INFO] [TRAIN] epoch=28, iter=10310/80000, loss=0.2662, lr=0.008832, batch_cost=1.2556, reader_cost=0.0040 | ETA 24:18:24 2020-12-15 12:07:04 [INFO] [TRAIN] epoch=28, iter=10320/80000, loss=0.2360, lr=0.008831, batch_cost=1.1833, reader_cost=0.0001 | ETA 22:54:12 2020-12-15 12:07:16 [INFO] [TRAIN] epoch=28, iter=10330/80000, loss=0.2581, lr=0.008830, batch_cost=1.2076, reader_cost=0.0001 | ETA 23:22:13 2020-12-15 12:07:28 [INFO] [TRAIN] epoch=28, iter=10340/80000, loss=0.2491, lr=0.008829, batch_cost=1.2048, reader_cost=0.0021 | ETA 23:18:45 2020-12-15 12:07:38 [INFO] [TRAIN] epoch=28, iter=10350/80000, loss=0.2662, lr=0.008828, batch_cost=1.0396, reader_cost=0.0001 | ETA 20:06:46 2020-12-15 12:07:50 [INFO] [TRAIN] epoch=28, iter=10360/80000, loss=0.3462, lr=0.008827, batch_cost=1.1570, reader_cost=0.0038 | ETA 22:22:56 2020-12-15 12:08:01 [INFO] [TRAIN] epoch=28, iter=10370/80000, loss=0.2326, lr=0.008826, batch_cost=1.1639, reader_cost=0.0001 | ETA 22:30:40 2020-12-15 12:08:13 [INFO] [TRAIN] epoch=28, iter=10380/80000, loss=0.2304, lr=0.008824, batch_cost=1.1479, reader_cost=0.0016 | ETA 22:11:55 2020-12-15 12:08:25 [INFO] [TRAIN] epoch=28, iter=10390/80000, loss=0.2689, lr=0.008823, batch_cost=1.1948, reader_cost=0.0005 | ETA 23:06:11 2020-12-15 12:08:35 [INFO] [TRAIN] epoch=28, iter=10400/80000, loss=0.2802, lr=0.008822, batch_cost=1.0419, reader_cost=0.0001 | ETA 20:08:36 2020-12-15 12:08:46 [INFO] [TRAIN] epoch=28, iter=10410/80000, loss=0.2389, lr=0.008821, batch_cost=1.0753, reader_cost=0.0001 | ETA 20:47:13 2020-12-15 12:08:55 [INFO] [TRAIN] epoch=29, iter=10420/80000, loss=0.2124, lr=0.008820, batch_cost=0.9278, reader_cost=0.0716 | ETA 17:55:56 2020-12-15 12:09:04 [INFO] [TRAIN] epoch=29, iter=10430/80000, loss=0.2435, lr=0.008819, batch_cost=0.8875, reader_cost=0.0001 | ETA 17:09:05 2020-12-15 12:09:17 [INFO] [TRAIN] epoch=29, iter=10440/80000, loss=0.3927, lr=0.008818, batch_cost=1.3025, reader_cost=0.0005 | ETA 25:10:02 2020-12-15 12:09:30 [INFO] [TRAIN] epoch=29, iter=10450/80000, loss=0.2560, lr=0.008816, batch_cost=1.2656, reader_cost=0.0001 | ETA 24:26:59 2020-12-15 12:09:42 [INFO] [TRAIN] epoch=29, iter=10460/80000, loss=0.3006, lr=0.008815, batch_cost=1.1875, reader_cost=0.0055 | ETA 22:56:16 2020-12-15 12:09:53 [INFO] [TRAIN] epoch=29, iter=10470/80000, loss=0.2335, lr=0.008814, batch_cost=1.1626, reader_cost=0.0010 | ETA 22:27:15 2020-12-15 12:10:06 [INFO] [TRAIN] epoch=29, iter=10480/80000, loss=0.5456, lr=0.008813, batch_cost=1.2860, reader_cost=0.0021 | ETA 24:50:05 2020-12-15 12:10:18 [INFO] [TRAIN] epoch=29, iter=10490/80000, loss=0.2243, lr=0.008812, batch_cost=1.1927, reader_cost=0.0005 | ETA 23:01:45 2020-12-15 12:10:30 [INFO] [TRAIN] epoch=29, iter=10500/80000, loss=0.1822, lr=0.008811, batch_cost=1.2296, reader_cost=0.0001 | ETA 23:44:19 2020-12-15 12:10:42 [INFO] [TRAIN] epoch=29, iter=10510/80000, loss=0.2514, lr=0.008810, batch_cost=1.1976, reader_cost=0.0024 | ETA 23:06:58 2020-12-15 12:10:54 [INFO] [TRAIN] epoch=29, iter=10520/80000, loss=0.2318, lr=0.008808, batch_cost=1.1889, reader_cost=0.0001 | ETA 22:56:44 2020-12-15 12:11:06 [INFO] [TRAIN] epoch=29, iter=10530/80000, loss=0.2677, lr=0.008807, batch_cost=1.2160, reader_cost=0.0020 | ETA 23:27:56 2020-12-15 12:11:19 [INFO] [TRAIN] epoch=29, iter=10540/80000, loss=0.2149, lr=0.008806, batch_cost=1.2801, reader_cost=0.0003 | ETA 24:41:53 2020-12-15 12:11:32 [INFO] [TRAIN] epoch=29, iter=10550/80000, loss=0.2404, lr=0.008805, batch_cost=1.2682, reader_cost=0.0001 | ETA 24:27:53 2020-12-15 12:11:43 [INFO] [TRAIN] epoch=29, iter=10560/80000, loss=0.2279, lr=0.008804, batch_cost=1.1132, reader_cost=0.0014 | ETA 21:28:20 2020-12-15 12:11:56 [INFO] [TRAIN] epoch=29, iter=10570/80000, loss=0.2417, lr=0.008803, batch_cost=1.2914, reader_cost=0.0006 | ETA 24:54:20 2020-12-15 12:12:08 [INFO] [TRAIN] epoch=29, iter=10580/80000, loss=0.3201, lr=0.008802, batch_cost=1.2263, reader_cost=0.0020 | ETA 23:38:51 2020-12-15 12:12:20 [INFO] [TRAIN] epoch=29, iter=10590/80000, loss=0.1976, lr=0.008800, batch_cost=1.1459, reader_cost=0.0021 | ETA 22:05:35 2020-12-15 12:12:31 [INFO] [TRAIN] epoch=29, iter=10600/80000, loss=0.3762, lr=0.008799, batch_cost=1.1773, reader_cost=0.0001 | ETA 22:41:41 2020-12-15 12:12:43 [INFO] [TRAIN] epoch=29, iter=10610/80000, loss=0.2455, lr=0.008798, batch_cost=1.1444, reader_cost=0.0010 | ETA 22:03:28 2020-12-15 12:12:55 [INFO] [TRAIN] epoch=29, iter=10620/80000, loss=0.2349, lr=0.008797, batch_cost=1.1959, reader_cost=0.0001 | ETA 23:02:50 2020-12-15 12:13:07 [INFO] [TRAIN] epoch=29, iter=10630/80000, loss=0.1953, lr=0.008796, batch_cost=1.2432, reader_cost=0.0001 | ETA 23:57:18 2020-12-15 12:13:19 [INFO] [TRAIN] epoch=29, iter=10640/80000, loss=0.2217, lr=0.008795, batch_cost=1.1497, reader_cost=0.0004 | ETA 22:09:03 2020-12-15 12:13:27 [INFO] [TRAIN] epoch=29, iter=10650/80000, loss=0.2409, lr=0.008794, batch_cost=0.8465, reader_cost=0.0001 | ETA 16:18:22 2020-12-15 12:13:36 [INFO] [TRAIN] epoch=29, iter=10660/80000, loss=0.2905, lr=0.008792, batch_cost=0.9330, reader_cost=0.0001 | ETA 17:58:14 2020-12-15 12:13:49 [INFO] [TRAIN] epoch=29, iter=10670/80000, loss=0.2154, lr=0.008791, batch_cost=1.2789, reader_cost=0.0011 | ETA 24:37:45 2020-12-15 12:14:02 [INFO] [TRAIN] epoch=29, iter=10680/80000, loss=0.2937, lr=0.008790, batch_cost=1.2312, reader_cost=0.0011 | ETA 23:42:26 2020-12-15 12:14:15 [INFO] [TRAIN] epoch=29, iter=10690/80000, loss=0.3850, lr=0.008789, batch_cost=1.3169, reader_cost=0.0001 | ETA 25:21:12 2020-12-15 12:14:27 [INFO] [TRAIN] epoch=29, iter=10700/80000, loss=0.2478, lr=0.008788, batch_cost=1.1985, reader_cost=0.0001 | ETA 23:04:14 2020-12-15 12:14:39 [INFO] [TRAIN] epoch=29, iter=10710/80000, loss=0.2215, lr=0.008787, batch_cost=1.2269, reader_cost=0.0001 | ETA 23:36:53 2020-12-15 12:14:52 [INFO] [TRAIN] epoch=29, iter=10720/80000, loss=0.5594, lr=0.008786, batch_cost=1.2589, reader_cost=0.0003 | ETA 24:13:36 2020-12-15 12:15:05 [INFO] [TRAIN] epoch=29, iter=10730/80000, loss=0.2506, lr=0.008784, batch_cost=1.3096, reader_cost=0.0013 | ETA 25:11:54 2020-12-15 12:15:17 [INFO] [TRAIN] epoch=29, iter=10740/80000, loss=0.3232, lr=0.008783, batch_cost=1.1901, reader_cost=0.0046 | ETA 22:53:43 2020-12-15 12:15:30 [INFO] [TRAIN] epoch=29, iter=10750/80000, loss=0.2596, lr=0.008782, batch_cost=1.3073, reader_cost=0.0002 | ETA 25:08:52 2020-12-15 12:15:42 [INFO] [TRAIN] epoch=29, iter=10760/80000, loss=0.2654, lr=0.008781, batch_cost=1.2445, reader_cost=0.0001 | ETA 23:56:08 2020-12-15 12:15:53 [INFO] [TRAIN] epoch=29, iter=10770/80000, loss=0.2190, lr=0.008780, batch_cost=1.1285, reader_cost=0.0001 | ETA 21:42:03 2020-12-15 12:16:06 [INFO] [TRAIN] epoch=29, iter=10780/80000, loss=0.4781, lr=0.008779, batch_cost=1.3013, reader_cost=0.0001 | ETA 25:01:14 2020-12-15 12:16:18 [INFO] [TRAIN] epoch=30, iter=10790/80000, loss=0.2562, lr=0.008778, batch_cost=1.1652, reader_cost=0.0765 | ETA 22:24:06 2020-12-15 12:16:30 [INFO] [TRAIN] epoch=30, iter=10800/80000, loss=0.2714, lr=0.008776, batch_cost=1.1853, reader_cost=0.0021 | ETA 22:47:05 2020-12-15 12:16:42 [INFO] [TRAIN] epoch=30, iter=10810/80000, loss=0.2553, lr=0.008775, batch_cost=1.2377, reader_cost=0.0001 | ETA 23:47:17 2020-12-15 12:16:56 [INFO] [TRAIN] epoch=30, iter=10820/80000, loss=0.4100, lr=0.008774, batch_cost=1.3832, reader_cost=0.0009 | ETA 26:34:49 2020-12-15 12:17:09 [INFO] [TRAIN] epoch=30, iter=10830/80000, loss=0.2957, lr=0.008773, batch_cost=1.2710, reader_cost=0.0020 | ETA 24:25:11 2020-12-15 12:17:21 [INFO] [TRAIN] epoch=30, iter=10840/80000, loss=0.2141, lr=0.008772, batch_cost=1.2068, reader_cost=0.0017 | ETA 23:11:03 2020-12-15 12:17:33 [INFO] [TRAIN] epoch=30, iter=10850/80000, loss=0.3159, lr=0.008771, batch_cost=1.2251, reader_cost=0.0002 | ETA 23:31:54 2020-12-15 12:17:46 [INFO] [TRAIN] epoch=30, iter=10860/80000, loss=0.3403, lr=0.008770, batch_cost=1.2356, reader_cost=0.0018 | ETA 23:43:47 2020-12-15 12:17:55 [INFO] [TRAIN] epoch=30, iter=10870/80000, loss=0.2746, lr=0.008768, batch_cost=0.9422, reader_cost=0.0031 | ETA 18:05:33 2020-12-15 12:18:06 [INFO] [TRAIN] epoch=30, iter=10880/80000, loss=0.3206, lr=0.008767, batch_cost=1.1307, reader_cost=0.0048 | ETA 21:42:34 2020-12-15 12:18:19 [INFO] [TRAIN] epoch=30, iter=10890/80000, loss=0.2423, lr=0.008766, batch_cost=1.2783, reader_cost=0.0027 | ETA 24:32:25 2020-12-15 12:18:32 [INFO] [TRAIN] epoch=30, iter=10900/80000, loss=0.1929, lr=0.008765, batch_cost=1.2678, reader_cost=0.0008 | ETA 24:20:08 2020-12-15 12:18:44 [INFO] [TRAIN] epoch=30, iter=10910/80000, loss=0.3019, lr=0.008764, batch_cost=1.2298, reader_cost=0.0002 | ETA 23:36:06 2020-12-15 12:18:57 [INFO] [TRAIN] epoch=30, iter=10920/80000, loss=0.2304, lr=0.008763, batch_cost=1.2628, reader_cost=0.0001 | ETA 24:13:56 2020-12-15 12:19:08 [INFO] [TRAIN] epoch=30, iter=10930/80000, loss=0.1949, lr=0.008762, batch_cost=1.1435, reader_cost=0.0024 | ETA 21:56:21 2020-12-15 12:19:20 [INFO] [TRAIN] epoch=30, iter=10940/80000, loss=0.3837, lr=0.008760, batch_cost=1.1617, reader_cost=0.0019 | ETA 22:17:03 2020-12-15 12:19:32 [INFO] [TRAIN] epoch=30, iter=10950/80000, loss=0.3178, lr=0.008759, batch_cost=1.2087, reader_cost=0.0029 | ETA 23:11:02 2020-12-15 12:19:44 [INFO] [TRAIN] epoch=30, iter=10960/80000, loss=0.2388, lr=0.008758, batch_cost=1.2699, reader_cost=0.0037 | ETA 24:21:11 2020-12-15 12:19:56 [INFO] [TRAIN] epoch=30, iter=10970/80000, loss=0.2303, lr=0.008757, batch_cost=1.1853, reader_cost=0.0014 | ETA 22:43:43 2020-12-15 12:20:08 [INFO] [TRAIN] epoch=30, iter=10980/80000, loss=0.1830, lr=0.008756, batch_cost=1.2096, reader_cost=0.0001 | ETA 23:11:27 2020-12-15 12:20:21 [INFO] [TRAIN] epoch=30, iter=10990/80000, loss=0.3461, lr=0.008755, batch_cost=1.2752, reader_cost=0.0001 | ETA 24:26:41 2020-12-15 12:20:34 [INFO] [TRAIN] epoch=30, iter=11000/80000, loss=0.3013, lr=0.008754, batch_cost=1.2703, reader_cost=0.0005 | ETA 24:20:54 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 12:20:34 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 12:21:24 [INFO] [EVAL] #Images=500 mIoU=0.6461 Acc=0.9372 Kappa=0.9188 2020-12-15 12:21:24 [INFO] [EVAL] Class IoU: [0.9599 0.7288 0.9 0.399 0.5076 0.5298 0.6289 0.717 0.9001 0.4971 0.9248 0.7571 0.5332 0.9129 0.1447 0.5633 0.5631 0.3905 0.7175] 2020-12-15 12:21:24 [INFO] [EVAL] Class Acc: [0.9893 0.7685 0.9559 0.6702 0.6519 0.6946 0.8192 0.8652 0.9336 0.8104 0.9674 0.8305 0.6738 0.9576 0.9737 0.6311 0.8015 0.5703 0.8204] 2020-12-15 12:21:32 [INFO] [EVAL] The model with the best validation mIoU (0.6701) was saved at iter 9000. 2020-12-15 12:21:44 [INFO] [TRAIN] epoch=30, iter=11010/80000, loss=0.2723, lr=0.008753, batch_cost=1.1930, reader_cost=0.0036 | ETA 22:51:46 2020-12-15 12:21:56 [INFO] [TRAIN] epoch=30, iter=11020/80000, loss=0.2969, lr=0.008751, batch_cost=1.2107, reader_cost=0.0001 | ETA 23:11:54 2020-12-15 12:22:08 [INFO] [TRAIN] epoch=30, iter=11030/80000, loss=0.2113, lr=0.008750, batch_cost=1.1904, reader_cost=0.0001 | ETA 22:48:23 2020-12-15 12:22:19 [INFO] [TRAIN] epoch=30, iter=11040/80000, loss=0.2847, lr=0.008749, batch_cost=1.1163, reader_cost=0.0020 | ETA 21:23:02 2020-12-15 12:22:27 [INFO] [TRAIN] epoch=30, iter=11050/80000, loss=0.2539, lr=0.008748, batch_cost=0.8579, reader_cost=0.0001 | ETA 16:25:54 2020-12-15 12:22:39 [INFO] [TRAIN] epoch=30, iter=11060/80000, loss=0.2199, lr=0.008747, batch_cost=1.1771, reader_cost=0.0026 | ETA 22:32:27 2020-12-15 12:22:52 [INFO] [TRAIN] epoch=30, iter=11070/80000, loss=0.2548, lr=0.008746, batch_cost=1.2423, reader_cost=0.0001 | ETA 23:47:12 2020-12-15 12:23:04 [INFO] [TRAIN] epoch=30, iter=11080/80000, loss=0.4185, lr=0.008745, batch_cost=1.2187, reader_cost=0.0001 | ETA 23:19:49 2020-12-15 12:23:16 [INFO] [TRAIN] epoch=30, iter=11090/80000, loss=0.2553, lr=0.008743, batch_cost=1.2464, reader_cost=0.0035 | ETA 23:51:27 2020-12-15 12:23:29 [INFO] [TRAIN] epoch=30, iter=11100/80000, loss=0.2124, lr=0.008742, batch_cost=1.2819, reader_cost=0.0022 | ETA 24:32:05 2020-12-15 12:23:41 [INFO] [TRAIN] epoch=30, iter=11110/80000, loss=0.2908, lr=0.008741, batch_cost=1.2015, reader_cost=0.0048 | ETA 22:59:28 2020-12-15 12:23:54 [INFO] [TRAIN] epoch=30, iter=11120/80000, loss=0.2664, lr=0.008740, batch_cost=1.2845, reader_cost=0.0002 | ETA 24:34:36 2020-12-15 12:24:07 [INFO] [TRAIN] epoch=30, iter=11130/80000, loss=0.2393, lr=0.008739, batch_cost=1.3169, reader_cost=0.0001 | ETA 25:11:34 2020-12-15 12:24:17 [INFO] [TRAIN] epoch=30, iter=11140/80000, loss=0.2713, lr=0.008738, batch_cost=0.9726, reader_cost=0.0001 | ETA 18:36:10 2020-12-15 12:24:25 [INFO] [TRAIN] epoch=30, iter=11150/80000, loss=0.2347, lr=0.008737, batch_cost=0.8079, reader_cost=0.0001 | ETA 15:27:05 2020-12-15 12:24:33 [INFO] [TRAIN] epoch=30, iter=11160/80000, loss=0.3305, lr=0.008735, batch_cost=0.7690, reader_cost=0.0001 | ETA 14:42:19 2020-12-15 12:24:42 [INFO] [TRAIN] epoch=31, iter=11170/80000, loss=0.2720, lr=0.008734, batch_cost=0.8985, reader_cost=0.0501 | ETA 17:10:40 2020-12-15 12:24:50 [INFO] [TRAIN] epoch=31, iter=11180/80000, loss=0.4457, lr=0.008733, batch_cost=0.8005, reader_cost=0.0001 | ETA 15:18:09 2020-12-15 12:25:01 [INFO] [TRAIN] epoch=31, iter=11190/80000, loss=0.1956, lr=0.008732, batch_cost=1.1746, reader_cost=0.0017 | ETA 22:27:06 2020-12-15 12:25:14 [INFO] [TRAIN] epoch=31, iter=11200/80000, loss=0.3254, lr=0.008731, batch_cost=1.2565, reader_cost=0.0004 | ETA 24:00:49 2020-12-15 12:25:27 [INFO] [TRAIN] epoch=31, iter=11210/80000, loss=0.2016, lr=0.008730, batch_cost=1.2712, reader_cost=0.0003 | ETA 24:17:29 2020-12-15 12:25:39 [INFO] [TRAIN] epoch=31, iter=11220/80000, loss=0.4565, lr=0.008729, batch_cost=1.1961, reader_cost=0.0025 | ETA 22:51:10 2020-12-15 12:25:49 [INFO] [TRAIN] epoch=31, iter=11230/80000, loss=0.2725, lr=0.008727, batch_cost=1.0655, reader_cost=0.0002 | ETA 20:21:16 2020-12-15 12:26:01 [INFO] [TRAIN] epoch=31, iter=11240/80000, loss=0.3908, lr=0.008726, batch_cost=1.1471, reader_cost=0.0005 | ETA 21:54:37 2020-12-15 12:26:14 [INFO] [TRAIN] epoch=31, iter=11250/80000, loss=0.3427, lr=0.008725, batch_cost=1.3082, reader_cost=0.0010 | ETA 24:58:59 2020-12-15 12:26:25 [INFO] [TRAIN] epoch=31, iter=11260/80000, loss=0.3334, lr=0.008724, batch_cost=1.1153, reader_cost=0.0017 | ETA 21:17:47 2020-12-15 12:26:36 [INFO] [TRAIN] epoch=31, iter=11270/80000, loss=0.2816, lr=0.008723, batch_cost=1.1302, reader_cost=0.0043 | ETA 21:34:36 2020-12-15 12:26:49 [INFO] [TRAIN] epoch=31, iter=11280/80000, loss=0.3432, lr=0.008722, batch_cost=1.3054, reader_cost=0.0007 | ETA 24:55:08 2020-12-15 12:27:03 [INFO] [TRAIN] epoch=31, iter=11290/80000, loss=0.2889, lr=0.008721, batch_cost=1.3266, reader_cost=0.0005 | ETA 25:19:10 2020-12-15 12:27:15 [INFO] [TRAIN] epoch=31, iter=11300/80000, loss=0.4236, lr=0.008719, batch_cost=1.2456, reader_cost=0.0002 | ETA 23:46:10 2020-12-15 12:27:24 [INFO] [TRAIN] epoch=31, iter=11310/80000, loss=0.4156, lr=0.008718, batch_cost=0.9460, reader_cost=0.0026 | ETA 18:02:58 2020-12-15 12:27:35 [INFO] [TRAIN] epoch=31, iter=11320/80000, loss=0.2506, lr=0.008717, batch_cost=1.0685, reader_cost=0.0007 | ETA 20:23:04 2020-12-15 12:27:47 [INFO] [TRAIN] epoch=31, iter=11330/80000, loss=0.5674, lr=0.008716, batch_cost=1.1836, reader_cost=0.0017 | ETA 22:34:37 2020-12-15 12:27:59 [INFO] [TRAIN] epoch=31, iter=11340/80000, loss=0.2746, lr=0.008715, batch_cost=1.1974, reader_cost=0.0011 | ETA 22:50:16 2020-12-15 12:28:11 [INFO] [TRAIN] epoch=31, iter=11350/80000, loss=0.2668, lr=0.008714, batch_cost=1.2268, reader_cost=0.0004 | ETA 23:23:42 2020-12-15 12:28:24 [INFO] [TRAIN] epoch=31, iter=11360/80000, loss=0.3528, lr=0.008713, batch_cost=1.2425, reader_cost=0.0001 | ETA 23:41:22 2020-12-15 12:28:37 [INFO] [TRAIN] epoch=31, iter=11370/80000, loss=0.2416, lr=0.008711, batch_cost=1.2996, reader_cost=0.0001 | ETA 24:46:29 2020-12-15 12:28:49 [INFO] [TRAIN] epoch=31, iter=11380/80000, loss=0.2774, lr=0.008710, batch_cost=1.2005, reader_cost=0.0034 | ETA 22:52:56 2020-12-15 12:29:01 [INFO] [TRAIN] epoch=31, iter=11390/80000, loss=0.3181, lr=0.008709, batch_cost=1.2379, reader_cost=0.0010 | ETA 23:35:32 2020-12-15 12:29:13 [INFO] [TRAIN] epoch=31, iter=11400/80000, loss=0.3276, lr=0.008708, batch_cost=1.1868, reader_cost=0.0019 | ETA 22:36:52 2020-12-15 12:29:25 [INFO] [TRAIN] epoch=31, iter=11410/80000, loss=0.3564, lr=0.008707, batch_cost=1.2083, reader_cost=0.0022 | ETA 23:01:19 2020-12-15 12:29:38 [INFO] [TRAIN] epoch=31, iter=11420/80000, loss=0.2058, lr=0.008706, batch_cost=1.3255, reader_cost=0.0016 | ETA 25:15:01 2020-12-15 12:29:50 [INFO] [TRAIN] epoch=31, iter=11430/80000, loss=0.2362, lr=0.008705, batch_cost=1.2116, reader_cost=0.0005 | ETA 23:04:36 2020-12-15 12:30:03 [INFO] [TRAIN] epoch=31, iter=11440/80000, loss=0.3132, lr=0.008703, batch_cost=1.2135, reader_cost=0.0017 | ETA 23:06:40 2020-12-15 12:30:16 [INFO] [TRAIN] epoch=31, iter=11450/80000, loss=0.2469, lr=0.008702, batch_cost=1.3256, reader_cost=0.0004 | ETA 25:14:30 2020-12-15 12:30:29 [INFO] [TRAIN] epoch=31, iter=11460/80000, loss=0.3335, lr=0.008701, batch_cost=1.3395, reader_cost=0.0001 | ETA 25:30:06 2020-12-15 12:30:41 [INFO] [TRAIN] epoch=31, iter=11470/80000, loss=0.2002, lr=0.008700, batch_cost=1.1974, reader_cost=0.0001 | ETA 22:47:39 2020-12-15 12:30:54 [INFO] [TRAIN] epoch=31, iter=11480/80000, loss=0.3341, lr=0.008699, batch_cost=1.2902, reader_cost=0.0001 | ETA 24:33:24 2020-12-15 12:31:07 [INFO] [TRAIN] epoch=31, iter=11490/80000, loss=0.2579, lr=0.008698, batch_cost=1.3363, reader_cost=0.0056 | ETA 25:25:51 2020-12-15 12:31:20 [INFO] [TRAIN] epoch=31, iter=11500/80000, loss=0.2852, lr=0.008697, batch_cost=1.2225, reader_cost=0.0019 | ETA 23:15:41 2020-12-15 12:31:32 [INFO] [TRAIN] epoch=31, iter=11510/80000, loss=0.2926, lr=0.008695, batch_cost=1.2417, reader_cost=0.0014 | ETA 23:37:26 2020-12-15 12:31:44 [INFO] [TRAIN] epoch=31, iter=11520/80000, loss=0.2092, lr=0.008694, batch_cost=1.1700, reader_cost=0.0013 | ETA 22:15:23 2020-12-15 12:31:52 [INFO] [TRAIN] epoch=31, iter=11530/80000, loss=0.3208, lr=0.008693, batch_cost=0.8555, reader_cost=0.0001 | ETA 16:16:14 2020-12-15 12:32:05 [INFO] [TRAIN] epoch=32, iter=11540/80000, loss=0.2802, lr=0.008692, batch_cost=1.2476, reader_cost=0.0761 | ETA 23:43:33 2020-12-15 12:32:17 [INFO] [TRAIN] epoch=32, iter=11550/80000, loss=0.3323, lr=0.008691, batch_cost=1.1855, reader_cost=0.0001 | ETA 22:32:24 2020-12-15 12:32:29 [INFO] [TRAIN] epoch=32, iter=11560/80000, loss=0.4950, lr=0.008690, batch_cost=1.2581, reader_cost=0.0022 | ETA 23:55:05 2020-12-15 12:32:41 [INFO] [TRAIN] epoch=32, iter=11570/80000, loss=0.5908, lr=0.008689, batch_cost=1.1704, reader_cost=0.0014 | ETA 22:14:51 2020-12-15 12:32:53 [INFO] [TRAIN] epoch=32, iter=11580/80000, loss=0.3714, lr=0.008687, batch_cost=1.2522, reader_cost=0.0026 | ETA 23:47:57 2020-12-15 12:33:06 [INFO] [TRAIN] epoch=32, iter=11590/80000, loss=0.5144, lr=0.008686, batch_cost=1.2093, reader_cost=0.0030 | ETA 22:58:47 2020-12-15 12:33:18 [INFO] [TRAIN] epoch=32, iter=11600/80000, loss=0.4645, lr=0.008685, batch_cost=1.2255, reader_cost=0.0005 | ETA 23:17:01 2020-12-15 12:33:30 [INFO] [TRAIN] epoch=32, iter=11610/80000, loss=0.2879, lr=0.008684, batch_cost=1.2295, reader_cost=0.0005 | ETA 23:21:24 2020-12-15 12:33:42 [INFO] [TRAIN] epoch=32, iter=11620/80000, loss=0.4100, lr=0.008683, batch_cost=1.1854, reader_cost=0.0024 | ETA 22:30:56 2020-12-15 12:33:54 [INFO] [TRAIN] epoch=32, iter=11630/80000, loss=0.2311, lr=0.008682, batch_cost=1.2519, reader_cost=0.0020 | ETA 23:46:31 2020-12-15 12:34:07 [INFO] [TRAIN] epoch=32, iter=11640/80000, loss=0.3039, lr=0.008681, batch_cost=1.2375, reader_cost=0.0001 | ETA 23:29:53 2020-12-15 12:34:18 [INFO] [TRAIN] epoch=32, iter=11650/80000, loss=0.3525, lr=0.008679, batch_cost=1.1530, reader_cost=0.0001 | ETA 21:53:24 2020-12-15 12:34:30 [INFO] [TRAIN] epoch=32, iter=11660/80000, loss=0.2132, lr=0.008678, batch_cost=1.1923, reader_cost=0.0066 | ETA 22:37:58 2020-12-15 12:34:42 [INFO] [TRAIN] epoch=32, iter=11670/80000, loss=0.1987, lr=0.008677, batch_cost=1.2009, reader_cost=0.0005 | ETA 22:47:35 2020-12-15 12:34:54 [INFO] [TRAIN] epoch=32, iter=11680/80000, loss=0.3418, lr=0.008676, batch_cost=1.1784, reader_cost=0.0023 | ETA 22:21:45 2020-12-15 12:35:07 [INFO] [TRAIN] epoch=32, iter=11690/80000, loss=0.1743, lr=0.008675, batch_cost=1.2658, reader_cost=0.0006 | ETA 24:01:10 2020-12-15 12:35:18 [INFO] [TRAIN] epoch=32, iter=11700/80000, loss=0.1642, lr=0.008674, batch_cost=1.1688, reader_cost=0.0001 | ETA 22:10:27 2020-12-15 12:35:30 [INFO] [TRAIN] epoch=32, iter=11710/80000, loss=0.1792, lr=0.008673, batch_cost=1.1814, reader_cost=0.0005 | ETA 22:24:39 2020-12-15 12:35:42 [INFO] [TRAIN] epoch=32, iter=11720/80000, loss=0.2382, lr=0.008671, batch_cost=1.2109, reader_cost=0.0022 | ETA 22:57:57 2020-12-15 12:35:55 [INFO] [TRAIN] epoch=32, iter=11730/80000, loss=0.3946, lr=0.008670, batch_cost=1.2117, reader_cost=0.0034 | ETA 22:58:42 2020-12-15 12:36:06 [INFO] [TRAIN] epoch=32, iter=11740/80000, loss=0.3392, lr=0.008669, batch_cost=1.1073, reader_cost=0.0001 | ETA 20:59:45 2020-12-15 12:36:17 [INFO] [TRAIN] epoch=32, iter=11750/80000, loss=0.2791, lr=0.008668, batch_cost=1.1225, reader_cost=0.0001 | ETA 21:16:53 2020-12-15 12:36:25 [INFO] [TRAIN] epoch=32, iter=11760/80000, loss=0.5876, lr=0.008667, batch_cost=0.8030, reader_cost=0.0001 | ETA 15:13:14 2020-12-15 12:36:37 [INFO] [TRAIN] epoch=32, iter=11770/80000, loss=0.2447, lr=0.008666, batch_cost=1.1862, reader_cost=0.0010 | ETA 22:28:55 2020-12-15 12:36:50 [INFO] [TRAIN] epoch=32, iter=11780/80000, loss=0.2438, lr=0.008665, batch_cost=1.2859, reader_cost=0.0001 | ETA 24:22:07 2020-12-15 12:37:02 [INFO] [TRAIN] epoch=32, iter=11790/80000, loss=0.2872, lr=0.008663, batch_cost=1.2800, reader_cost=0.0009 | ETA 24:15:07 2020-12-15 12:37:15 [INFO] [TRAIN] epoch=32, iter=11800/80000, loss=0.3137, lr=0.008662, batch_cost=1.2511, reader_cost=0.0016 | ETA 23:42:07 2020-12-15 12:37:27 [INFO] [TRAIN] epoch=32, iter=11810/80000, loss=0.1872, lr=0.008661, batch_cost=1.2392, reader_cost=0.0009 | ETA 23:28:23 2020-12-15 12:37:39 [INFO] [TRAIN] epoch=32, iter=11820/80000, loss=0.3457, lr=0.008660, batch_cost=1.1823, reader_cost=0.0018 | ETA 22:23:32 2020-12-15 12:37:51 [INFO] [TRAIN] epoch=32, iter=11830/80000, loss=0.3047, lr=0.008659, batch_cost=1.2102, reader_cost=0.0014 | ETA 22:55:00 2020-12-15 12:38:02 [INFO] [TRAIN] epoch=32, iter=11840/80000, loss=0.4659, lr=0.008658, batch_cost=1.1188, reader_cost=0.0009 | ETA 21:10:55 2020-12-15 12:38:14 [INFO] [TRAIN] epoch=32, iter=11850/80000, loss=0.3690, lr=0.008657, batch_cost=1.1396, reader_cost=0.0004 | ETA 21:34:21 2020-12-15 12:38:25 [INFO] [TRAIN] epoch=32, iter=11860/80000, loss=0.3043, lr=0.008655, batch_cost=1.1075, reader_cost=0.0003 | ETA 20:57:47 2020-12-15 12:38:35 [INFO] [TRAIN] epoch=32, iter=11870/80000, loss=0.4200, lr=0.008654, batch_cost=1.0426, reader_cost=0.0001 | ETA 19:43:54 2020-12-15 12:38:47 [INFO] [TRAIN] epoch=32, iter=11880/80000, loss=0.3320, lr=0.008653, batch_cost=1.2055, reader_cost=0.0001 | ETA 22:48:41 2020-12-15 12:38:59 [INFO] [TRAIN] epoch=32, iter=11890/80000, loss=0.1632, lr=0.008652, batch_cost=1.1433, reader_cost=0.0002 | ETA 21:37:52 2020-12-15 12:39:10 [INFO] [TRAIN] epoch=32, iter=11900/80000, loss=0.3161, lr=0.008651, batch_cost=1.1438, reader_cost=0.0001 | ETA 21:38:10 2020-12-15 12:39:23 [INFO] [TRAIN] epoch=33, iter=11910/80000, loss=0.3147, lr=0.008650, batch_cost=1.2886, reader_cost=0.0528 | ETA 24:22:18 2020-12-15 12:39:35 [INFO] [TRAIN] epoch=33, iter=11920/80000, loss=0.2228, lr=0.008649, batch_cost=1.1894, reader_cost=0.0001 | ETA 22:29:32 2020-12-15 12:39:48 [INFO] [TRAIN] epoch=33, iter=11930/80000, loss=0.2798, lr=0.008647, batch_cost=1.2916, reader_cost=0.0001 | ETA 24:25:17 2020-12-15 12:40:00 [INFO] [TRAIN] epoch=33, iter=11940/80000, loss=0.2926, lr=0.008646, batch_cost=1.1806, reader_cost=0.0025 | ETA 22:19:10 2020-12-15 12:40:11 [INFO] [TRAIN] epoch=33, iter=11950/80000, loss=0.2844, lr=0.008645, batch_cost=1.1424, reader_cost=0.0004 | ETA 21:35:37 2020-12-15 12:40:23 [INFO] [TRAIN] epoch=33, iter=11960/80000, loss=0.2041, lr=0.008644, batch_cost=1.2363, reader_cost=0.0015 | ETA 23:21:57 2020-12-15 12:40:35 [INFO] [TRAIN] epoch=33, iter=11970/80000, loss=0.2344, lr=0.008643, batch_cost=1.1992, reader_cost=0.0009 | ETA 22:39:44 2020-12-15 12:40:46 [INFO] [TRAIN] epoch=33, iter=11980/80000, loss=0.2101, lr=0.008642, batch_cost=1.0884, reader_cost=0.0006 | ETA 20:33:52 2020-12-15 12:40:56 [INFO] [TRAIN] epoch=33, iter=11990/80000, loss=0.2545, lr=0.008641, batch_cost=0.9217, reader_cost=0.0001 | ETA 17:24:41 2020-12-15 12:41:07 [INFO] [TRAIN] epoch=33, iter=12000/80000, loss=0.2070, lr=0.008639, batch_cost=1.1398, reader_cost=0.0005 | ETA 21:31:48 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 12:41:07 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 12:41:58 [INFO] [EVAL] #Images=500 mIoU=0.6981 Acc=0.9447 Kappa=0.9283 2020-12-15 12:41:58 [INFO] [EVAL] Class IoU: [0.9644 0.7445 0.908 0.4534 0.5099 0.5323 0.6478 0.7316 0.9116 0.5 0.9291 0.7682 0.5677 0.9305 0.4541 0.7673 0.6629 0.5497 0.7308] 2020-12-15 12:41:58 [INFO] [EVAL] Class Acc: [0.9886 0.8107 0.9417 0.754 0.7598 0.7825 0.7725 0.8881 0.9448 0.8365 0.9571 0.8317 0.7515 0.9549 0.9362 0.8511 0.9137 0.8325 0.8318] 2020-12-15 12:42:09 [INFO] [EVAL] The model with the best validation mIoU (0.6981) was saved at iter 12000. 2020-12-15 12:42:20 [INFO] [TRAIN] epoch=33, iter=12010/80000, loss=0.2980, lr=0.008638, batch_cost=1.1591, reader_cost=0.0001 | ETA 21:53:28 2020-12-15 12:42:32 [INFO] [TRAIN] epoch=33, iter=12020/80000, loss=0.2632, lr=0.008637, batch_cost=1.2384, reader_cost=0.0004 | ETA 23:23:03 2020-12-15 12:42:45 [INFO] [TRAIN] epoch=33, iter=12030/80000, loss=0.3395, lr=0.008636, batch_cost=1.2192, reader_cost=0.0005 | ETA 23:01:10 2020-12-15 12:42:57 [INFO] [TRAIN] epoch=33, iter=12040/80000, loss=0.2016, lr=0.008635, batch_cost=1.2183, reader_cost=0.0019 | ETA 22:59:52 2020-12-15 12:43:10 [INFO] [TRAIN] epoch=33, iter=12050/80000, loss=0.2149, lr=0.008634, batch_cost=1.2673, reader_cost=0.0001 | ETA 23:55:12 2020-12-15 12:43:21 [INFO] [TRAIN] epoch=33, iter=12060/80000, loss=0.2661, lr=0.008633, batch_cost=1.1885, reader_cost=0.0001 | ETA 22:25:43 2020-12-15 12:43:35 [INFO] [TRAIN] epoch=33, iter=12070/80000, loss=0.2992, lr=0.008631, batch_cost=1.3294, reader_cost=0.0021 | ETA 25:05:03 2020-12-15 12:43:49 [INFO] [TRAIN] epoch=33, iter=12080/80000, loss=0.4351, lr=0.008630, batch_cost=1.4371, reader_cost=0.0001 | ETA 27:06:48 2020-12-15 12:44:01 [INFO] [TRAIN] epoch=33, iter=12090/80000, loss=0.2440, lr=0.008629, batch_cost=1.2234, reader_cost=0.0029 | ETA 23:04:37 2020-12-15 12:44:14 [INFO] [TRAIN] epoch=33, iter=12100/80000, loss=0.2310, lr=0.008628, batch_cost=1.2187, reader_cost=0.0006 | ETA 22:59:08 2020-12-15 12:44:26 [INFO] [TRAIN] epoch=33, iter=12110/80000, loss=0.2638, lr=0.008627, batch_cost=1.2149, reader_cost=0.0001 | ETA 22:54:38 2020-12-15 12:44:38 [INFO] [TRAIN] epoch=33, iter=12120/80000, loss=0.2183, lr=0.008626, batch_cost=1.2788, reader_cost=0.0006 | ETA 24:06:47 2020-12-15 12:44:51 [INFO] [TRAIN] epoch=33, iter=12130/80000, loss=0.2321, lr=0.008625, batch_cost=1.2871, reader_cost=0.0002 | ETA 24:15:58 2020-12-15 12:45:04 [INFO] [TRAIN] epoch=33, iter=12140/80000, loss=0.1918, lr=0.008623, batch_cost=1.2540, reader_cost=0.0005 | ETA 23:38:18 2020-12-15 12:45:14 [INFO] [TRAIN] epoch=33, iter=12150/80000, loss=0.1500, lr=0.008622, batch_cost=1.0590, reader_cost=0.0003 | ETA 19:57:31 2020-12-15 12:45:23 [INFO] [TRAIN] epoch=33, iter=12160/80000, loss=0.2340, lr=0.008621, batch_cost=0.8259, reader_cost=0.0001 | ETA 15:33:45 2020-12-15 12:45:35 [INFO] [TRAIN] epoch=33, iter=12170/80000, loss=0.3161, lr=0.008620, batch_cost=1.2373, reader_cost=0.0022 | ETA 23:18:47 2020-12-15 12:45:48 [INFO] [TRAIN] epoch=33, iter=12180/80000, loss=0.2373, lr=0.008619, batch_cost=1.3406, reader_cost=0.0001 | ETA 25:15:22 2020-12-15 12:46:01 [INFO] [TRAIN] epoch=33, iter=12190/80000, loss=0.2314, lr=0.008618, batch_cost=1.2242, reader_cost=0.0002 | ETA 23:03:32 2020-12-15 12:46:13 [INFO] [TRAIN] epoch=33, iter=12200/80000, loss=0.2142, lr=0.008617, batch_cost=1.2237, reader_cost=0.0019 | ETA 23:02:47 2020-12-15 12:46:26 [INFO] [TRAIN] epoch=33, iter=12210/80000, loss=0.2072, lr=0.008615, batch_cost=1.2818, reader_cost=0.0001 | ETA 24:08:15 2020-12-15 12:46:39 [INFO] [TRAIN] epoch=33, iter=12220/80000, loss=0.2485, lr=0.008614, batch_cost=1.2777, reader_cost=0.0011 | ETA 24:03:23 2020-12-15 12:46:51 [INFO] [TRAIN] epoch=33, iter=12230/80000, loss=0.2844, lr=0.008613, batch_cost=1.2449, reader_cost=0.0008 | ETA 23:26:09 2020-12-15 12:47:03 [INFO] [TRAIN] epoch=33, iter=12240/80000, loss=0.2362, lr=0.008612, batch_cost=1.1590, reader_cost=0.0041 | ETA 21:48:54 2020-12-15 12:47:15 [INFO] [TRAIN] epoch=33, iter=12250/80000, loss=0.2492, lr=0.008611, batch_cost=1.2076, reader_cost=0.0030 | ETA 22:43:31 2020-12-15 12:47:26 [INFO] [TRAIN] epoch=33, iter=12260/80000, loss=0.2568, lr=0.008610, batch_cost=1.1172, reader_cost=0.0001 | ETA 21:01:15 2020-12-15 12:47:37 [INFO] [TRAIN] epoch=33, iter=12270/80000, loss=0.3492, lr=0.008609, batch_cost=1.1118, reader_cost=0.0008 | ETA 20:55:02 2020-12-15 12:47:48 [INFO] [TRAIN] epoch=34, iter=12280/80000, loss=0.2527, lr=0.008607, batch_cost=1.1267, reader_cost=0.0666 | ETA 21:11:38 2020-12-15 12:48:01 [INFO] [TRAIN] epoch=34, iter=12290/80000, loss=0.1998, lr=0.008606, batch_cost=1.2688, reader_cost=0.0012 | ETA 23:51:50 2020-12-15 12:48:12 [INFO] [TRAIN] epoch=34, iter=12300/80000, loss=0.2100, lr=0.008605, batch_cost=1.1506, reader_cost=0.0006 | ETA 21:38:16 2020-12-15 12:48:25 [INFO] [TRAIN] epoch=34, iter=12310/80000, loss=0.1638, lr=0.008604, batch_cost=1.2720, reader_cost=0.0001 | ETA 23:55:01 2020-12-15 12:48:37 [INFO] [TRAIN] epoch=34, iter=12320/80000, loss=0.2074, lr=0.008603, batch_cost=1.1641, reader_cost=0.0001 | ETA 21:53:05 2020-12-15 12:48:49 [INFO] [TRAIN] epoch=34, iter=12330/80000, loss=0.3026, lr=0.008602, batch_cost=1.2221, reader_cost=0.0001 | ETA 22:58:20 2020-12-15 12:48:57 [INFO] [TRAIN] epoch=34, iter=12340/80000, loss=0.2924, lr=0.008600, batch_cost=0.8258, reader_cost=0.0001 | ETA 15:31:16 2020-12-15 12:49:05 [INFO] [TRAIN] epoch=34, iter=12350/80000, loss=0.2211, lr=0.008599, batch_cost=0.8151, reader_cost=0.0001 | ETA 15:19:02 2020-12-15 12:49:14 [INFO] [TRAIN] epoch=34, iter=12360/80000, loss=0.2140, lr=0.008598, batch_cost=0.8091, reader_cost=0.0007 | ETA 15:12:04 2020-12-15 12:49:22 [INFO] [TRAIN] epoch=34, iter=12370/80000, loss=0.2321, lr=0.008597, batch_cost=0.8016, reader_cost=0.0001 | ETA 15:03:31 2020-12-15 12:49:32 [INFO] [TRAIN] epoch=34, iter=12380/80000, loss=0.2668, lr=0.008596, batch_cost=1.0090, reader_cost=0.0001 | ETA 18:57:06 2020-12-15 12:49:45 [INFO] [TRAIN] epoch=34, iter=12390/80000, loss=0.3050, lr=0.008595, batch_cost=1.3379, reader_cost=0.0024 | ETA 25:07:35 2020-12-15 12:49:56 [INFO] [TRAIN] epoch=34, iter=12400/80000, loss=0.2076, lr=0.008594, batch_cost=1.1434, reader_cost=0.0003 | ETA 21:28:12 2020-12-15 12:50:10 [INFO] [TRAIN] epoch=34, iter=12410/80000, loss=0.2011, lr=0.008592, batch_cost=1.3180, reader_cost=0.0001 | ETA 24:44:43 2020-12-15 12:50:19 [INFO] [TRAIN] epoch=34, iter=12420/80000, loss=0.2349, lr=0.008591, batch_cost=0.9690, reader_cost=0.0001 | ETA 18:11:27 2020-12-15 12:50:29 [INFO] [TRAIN] epoch=34, iter=12430/80000, loss=0.2644, lr=0.008590, batch_cost=0.9229, reader_cost=0.0045 | ETA 17:19:23 2020-12-15 12:50:40 [INFO] [TRAIN] epoch=34, iter=12440/80000, loss=0.2110, lr=0.008589, batch_cost=1.1863, reader_cost=0.0001 | ETA 22:15:48 2020-12-15 12:50:53 [INFO] [TRAIN] epoch=34, iter=12450/80000, loss=0.1876, lr=0.008588, batch_cost=1.2256, reader_cost=0.0001 | ETA 22:59:47 2020-12-15 12:51:03 [INFO] [TRAIN] epoch=34, iter=12460/80000, loss=0.2125, lr=0.008587, batch_cost=1.0807, reader_cost=0.0005 | ETA 20:16:32 2020-12-15 12:51:16 [INFO] [TRAIN] epoch=34, iter=12470/80000, loss=0.2496, lr=0.008586, batch_cost=1.2977, reader_cost=0.0021 | ETA 24:20:34 2020-12-15 12:51:29 [INFO] [TRAIN] epoch=34, iter=12480/80000, loss=0.2172, lr=0.008584, batch_cost=1.2310, reader_cost=0.0001 | ETA 23:05:18 2020-12-15 12:51:41 [INFO] [TRAIN] epoch=34, iter=12490/80000, loss=0.1767, lr=0.008583, batch_cost=1.1944, reader_cost=0.0001 | ETA 22:23:55 2020-12-15 12:51:53 [INFO] [TRAIN] epoch=34, iter=12500/80000, loss=0.2505, lr=0.008582, batch_cost=1.2732, reader_cost=0.0001 | ETA 23:52:20 2020-12-15 12:52:06 [INFO] [TRAIN] epoch=34, iter=12510/80000, loss=0.1813, lr=0.008581, batch_cost=1.2177, reader_cost=0.0001 | ETA 22:49:43 2020-12-15 12:52:17 [INFO] [TRAIN] epoch=34, iter=12520/80000, loss=0.3317, lr=0.008580, batch_cost=1.1720, reader_cost=0.0001 | ETA 21:58:05 2020-12-15 12:52:29 [INFO] [TRAIN] epoch=34, iter=12530/80000, loss=0.1997, lr=0.008579, batch_cost=1.2039, reader_cost=0.0001 | ETA 22:33:46 2020-12-15 12:52:41 [INFO] [TRAIN] epoch=34, iter=12540/80000, loss=0.1867, lr=0.008578, batch_cost=1.1992, reader_cost=0.0001 | ETA 22:28:19 2020-12-15 12:52:53 [INFO] [TRAIN] epoch=34, iter=12550/80000, loss=0.2163, lr=0.008576, batch_cost=1.1466, reader_cost=0.0001 | ETA 21:28:58 2020-12-15 12:53:04 [INFO] [TRAIN] epoch=34, iter=12560/80000, loss=0.1979, lr=0.008575, batch_cost=1.1481, reader_cost=0.0009 | ETA 21:30:24 2020-12-15 12:53:16 [INFO] [TRAIN] epoch=34, iter=12570/80000, loss=0.3446, lr=0.008574, batch_cost=1.1645, reader_cost=0.0022 | ETA 21:48:44 2020-12-15 12:53:28 [INFO] [TRAIN] epoch=34, iter=12580/80000, loss=0.3932, lr=0.008573, batch_cost=1.2073, reader_cost=0.0001 | ETA 22:36:39 2020-12-15 12:53:41 [INFO] [TRAIN] epoch=34, iter=12590/80000, loss=0.2043, lr=0.008572, batch_cost=1.3213, reader_cost=0.0001 | ETA 24:44:31 2020-12-15 12:53:55 [INFO] [TRAIN] epoch=34, iter=12600/80000, loss=0.2416, lr=0.008571, batch_cost=1.3445, reader_cost=0.0001 | ETA 25:10:20 2020-12-15 12:54:07 [INFO] [TRAIN] epoch=34, iter=12610/80000, loss=0.2084, lr=0.008570, batch_cost=1.2520, reader_cost=0.0001 | ETA 23:26:10 2020-12-15 12:54:20 [INFO] [TRAIN] epoch=34, iter=12620/80000, loss=0.2968, lr=0.008568, batch_cost=1.2407, reader_cost=0.0031 | ETA 23:13:21 2020-12-15 12:54:33 [INFO] [TRAIN] epoch=34, iter=12630/80000, loss=0.2019, lr=0.008567, batch_cost=1.2901, reader_cost=0.0005 | ETA 24:08:35 2020-12-15 12:54:43 [INFO] [TRAIN] epoch=34, iter=12640/80000, loss=0.2370, lr=0.008566, batch_cost=1.0774, reader_cost=0.0019 | ETA 20:09:34 2020-12-15 12:54:53 [INFO] [TRAIN] epoch=35, iter=12650/80000, loss=0.2914, lr=0.008565, batch_cost=0.9270, reader_cost=0.0454 | ETA 17:20:36 2020-12-15 12:55:04 [INFO] [TRAIN] epoch=35, iter=12660/80000, loss=0.2085, lr=0.008564, batch_cost=1.1709, reader_cost=0.0002 | ETA 21:54:05 2020-12-15 12:55:17 [INFO] [TRAIN] epoch=35, iter=12670/80000, loss=0.3130, lr=0.008563, batch_cost=1.2280, reader_cost=0.0018 | ETA 22:58:03 2020-12-15 12:55:29 [INFO] [TRAIN] epoch=35, iter=12680/80000, loss=0.2649, lr=0.008562, batch_cost=1.2585, reader_cost=0.0013 | ETA 23:32:04 2020-12-15 12:55:42 [INFO] [TRAIN] epoch=35, iter=12690/80000, loss=0.2068, lr=0.008560, batch_cost=1.2503, reader_cost=0.0021 | ETA 23:22:34 2020-12-15 12:55:56 [INFO] [TRAIN] epoch=35, iter=12700/80000, loss=0.1953, lr=0.008559, batch_cost=1.4049, reader_cost=0.0010 | ETA 26:15:46 2020-12-15 12:56:09 [INFO] [TRAIN] epoch=35, iter=12710/80000, loss=0.1929, lr=0.008558, batch_cost=1.3408, reader_cost=0.0030 | ETA 25:03:44 2020-12-15 12:56:21 [INFO] [TRAIN] epoch=35, iter=12720/80000, loss=0.1469, lr=0.008557, batch_cost=1.1951, reader_cost=0.0018 | ETA 22:20:05 2020-12-15 12:56:33 [INFO] [TRAIN] epoch=35, iter=12730/80000, loss=0.2848, lr=0.008556, batch_cost=1.2004, reader_cost=0.0001 | ETA 22:25:48 2020-12-15 12:56:45 [INFO] [TRAIN] epoch=35, iter=12740/80000, loss=0.2705, lr=0.008555, batch_cost=1.1470, reader_cost=0.0001 | ETA 21:25:47 2020-12-15 12:56:57 [INFO] [TRAIN] epoch=35, iter=12750/80000, loss=0.1957, lr=0.008554, batch_cost=1.2037, reader_cost=0.0001 | ETA 22:29:06 2020-12-15 12:57:09 [INFO] [TRAIN] epoch=35, iter=12760/80000, loss=0.2651, lr=0.008552, batch_cost=1.2140, reader_cost=0.0001 | ETA 22:40:27 2020-12-15 12:57:21 [INFO] [TRAIN] epoch=35, iter=12770/80000, loss=0.2197, lr=0.008551, batch_cost=1.1918, reader_cost=0.0025 | ETA 22:15:21 2020-12-15 12:57:32 [INFO] [TRAIN] epoch=35, iter=12780/80000, loss=0.2117, lr=0.008550, batch_cost=1.1529, reader_cost=0.0014 | ETA 21:31:39 2020-12-15 12:57:44 [INFO] [TRAIN] epoch=35, iter=12790/80000, loss=0.2627, lr=0.008549, batch_cost=1.1398, reader_cost=0.0004 | ETA 21:16:46 2020-12-15 12:57:55 [INFO] [TRAIN] epoch=35, iter=12800/80000, loss=0.2389, lr=0.008548, batch_cost=1.1617, reader_cost=0.0004 | ETA 21:41:08 2020-12-15 12:58:06 [INFO] [TRAIN] epoch=35, iter=12810/80000, loss=0.1890, lr=0.008547, batch_cost=1.1208, reader_cost=0.0011 | ETA 20:55:06 2020-12-15 12:58:19 [INFO] [TRAIN] epoch=35, iter=12820/80000, loss=0.2457, lr=0.008546, batch_cost=1.2306, reader_cost=0.0024 | ETA 22:57:54 2020-12-15 12:58:31 [INFO] [TRAIN] epoch=35, iter=12830/80000, loss=0.2750, lr=0.008544, batch_cost=1.2131, reader_cost=0.0001 | ETA 22:38:01 2020-12-15 12:58:44 [INFO] [TRAIN] epoch=35, iter=12840/80000, loss=0.2499, lr=0.008543, batch_cost=1.3088, reader_cost=0.0042 | ETA 24:24:56 2020-12-15 12:58:57 [INFO] [TRAIN] epoch=35, iter=12850/80000, loss=0.2824, lr=0.008542, batch_cost=1.2850, reader_cost=0.0020 | ETA 23:58:08 2020-12-15 12:59:09 [INFO] [TRAIN] epoch=35, iter=12860/80000, loss=0.2431, lr=0.008541, batch_cost=1.2482, reader_cost=0.0043 | ETA 23:16:44 2020-12-15 12:59:20 [INFO] [TRAIN] epoch=35, iter=12870/80000, loss=0.3935, lr=0.008540, batch_cost=1.1072, reader_cost=0.0001 | ETA 20:38:48 2020-12-15 12:59:29 [INFO] [TRAIN] epoch=35, iter=12880/80000, loss=0.2135, lr=0.008539, batch_cost=0.8670, reader_cost=0.0018 | ETA 16:09:53 2020-12-15 12:59:42 [INFO] [TRAIN] epoch=35, iter=12890/80000, loss=0.2758, lr=0.008538, batch_cost=1.2852, reader_cost=0.0018 | ETA 23:57:30 2020-12-15 12:59:55 [INFO] [TRAIN] epoch=35, iter=12900/80000, loss=0.2292, lr=0.008536, batch_cost=1.2896, reader_cost=0.0001 | ETA 24:02:10 2020-12-15 13:00:07 [INFO] [TRAIN] epoch=35, iter=12910/80000, loss=0.2780, lr=0.008535, batch_cost=1.1834, reader_cost=0.0010 | ETA 22:03:13 2020-12-15 13:00:19 [INFO] [TRAIN] epoch=35, iter=12920/80000, loss=0.2501, lr=0.008534, batch_cost=1.2618, reader_cost=0.0018 | ETA 23:30:38 2020-12-15 13:00:32 [INFO] [TRAIN] epoch=35, iter=12930/80000, loss=0.2664, lr=0.008533, batch_cost=1.2895, reader_cost=0.0008 | ETA 24:01:29 2020-12-15 13:00:44 [INFO] [TRAIN] epoch=35, iter=12940/80000, loss=0.1811, lr=0.008532, batch_cost=1.1812, reader_cost=0.0001 | ETA 22:00:14 2020-12-15 13:00:56 [INFO] [TRAIN] epoch=35, iter=12950/80000, loss=0.2024, lr=0.008531, batch_cost=1.1675, reader_cost=0.0032 | ETA 21:44:37 2020-12-15 13:01:09 [INFO] [TRAIN] epoch=35, iter=12960/80000, loss=0.2756, lr=0.008530, batch_cost=1.3635, reader_cost=0.0001 | ETA 25:23:28 2020-12-15 13:01:22 [INFO] [TRAIN] epoch=35, iter=12970/80000, loss=0.2450, lr=0.008528, batch_cost=1.2725, reader_cost=0.0001 | ETA 23:41:34 2020-12-15 13:01:35 [INFO] [TRAIN] epoch=35, iter=12980/80000, loss=0.1821, lr=0.008527, batch_cost=1.2965, reader_cost=0.0001 | ETA 24:08:10 2020-12-15 13:01:47 [INFO] [TRAIN] epoch=35, iter=12990/80000, loss=0.1827, lr=0.008526, batch_cost=1.1842, reader_cost=0.0002 | ETA 22:02:35 2020-12-15 13:01:59 [INFO] [TRAIN] epoch=35, iter=13000/80000, loss=0.3166, lr=0.008525, batch_cost=1.2567, reader_cost=0.0001 | ETA 23:23:20 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 13:01:59 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 13:02:50 [INFO] [EVAL] #Images=500 mIoU=0.7161 Acc=0.9511 Kappa=0.9364 2020-12-15 13:02:50 [INFO] [EVAL] Class IoU: [0.9764 0.8116 0.9108 0.511 0.5527 0.5355 0.633 0.7185 0.9141 0.5715 0.9354 0.7789 0.5416 0.9352 0.6412 0.6927 0.6784 0.551 0.7167] 2020-12-15 13:02:50 [INFO] [EVAL] Class Acc: [0.9886 0.8885 0.9492 0.791 0.689 0.7356 0.8603 0.8783 0.9448 0.8929 0.9605 0.8669 0.6621 0.9667 0.6939 0.952 0.8139 0.7544 0.8828] 2020-12-15 13:03:01 [INFO] [EVAL] The model with the best validation mIoU (0.7161) was saved at iter 13000. 2020-12-15 13:03:13 [INFO] [TRAIN] epoch=35, iter=13010/80000, loss=0.2325, lr=0.008524, batch_cost=1.2129, reader_cost=0.0002 | ETA 22:34:10 2020-12-15 13:03:24 [INFO] [TRAIN] epoch=35, iter=13020/80000, loss=0.2417, lr=0.008523, batch_cost=1.0345, reader_cost=0.0001 | ETA 19:14:52 2020-12-15 13:03:37 [INFO] [TRAIN] epoch=36, iter=13030/80000, loss=0.1778, lr=0.008522, batch_cost=1.3701, reader_cost=0.0642 | ETA 25:29:16 2020-12-15 13:03:48 [INFO] [TRAIN] epoch=36, iter=13040/80000, loss=0.2407, lr=0.008520, batch_cost=1.0752, reader_cost=0.0001 | ETA 19:59:56 2020-12-15 13:03:57 [INFO] [TRAIN] epoch=36, iter=13050/80000, loss=0.2732, lr=0.008519, batch_cost=0.8916, reader_cost=0.0001 | ETA 16:34:51 2020-12-15 13:04:09 [INFO] [TRAIN] epoch=36, iter=13060/80000, loss=0.1562, lr=0.008518, batch_cost=1.2218, reader_cost=0.0001 | ETA 22:43:06 2020-12-15 13:04:22 [INFO] [TRAIN] epoch=36, iter=13070/80000, loss=0.2000, lr=0.008517, batch_cost=1.3264, reader_cost=0.0017 | ETA 24:39:39 2020-12-15 13:04:33 [INFO] [TRAIN] epoch=36, iter=13080/80000, loss=0.1572, lr=0.008516, batch_cost=1.0678, reader_cost=0.0002 | ETA 19:50:58 2020-12-15 13:04:45 [INFO] [TRAIN] epoch=36, iter=13090/80000, loss=0.1714, lr=0.008515, batch_cost=1.1651, reader_cost=0.0006 | ETA 21:39:13 2020-12-15 13:04:58 [INFO] [TRAIN] epoch=36, iter=13100/80000, loss=0.2198, lr=0.008514, batch_cost=1.3075, reader_cost=0.0001 | ETA 24:17:54 2020-12-15 13:05:11 [INFO] [TRAIN] epoch=36, iter=13110/80000, loss=0.2647, lr=0.008512, batch_cost=1.2648, reader_cost=0.0002 | ETA 23:30:04 2020-12-15 13:05:22 [INFO] [TRAIN] epoch=36, iter=13120/80000, loss=0.1699, lr=0.008511, batch_cost=1.1794, reader_cost=0.0001 | ETA 21:54:39 2020-12-15 13:05:33 [INFO] [TRAIN] epoch=36, iter=13130/80000, loss=0.2372, lr=0.008510, batch_cost=1.0960, reader_cost=0.0016 | ETA 20:21:30 2020-12-15 13:05:44 [INFO] [TRAIN] epoch=36, iter=13140/80000, loss=0.1951, lr=0.008509, batch_cost=1.0412, reader_cost=0.0001 | ETA 19:20:12 2020-12-15 13:05:56 [INFO] [TRAIN] epoch=36, iter=13150/80000, loss=0.2323, lr=0.008508, batch_cost=1.2080, reader_cost=0.0001 | ETA 22:25:52 2020-12-15 13:06:06 [INFO] [TRAIN] epoch=36, iter=13160/80000, loss=0.2692, lr=0.008507, batch_cost=1.0311, reader_cost=0.0005 | ETA 19:08:40 2020-12-15 13:06:19 [INFO] [TRAIN] epoch=36, iter=13170/80000, loss=0.2771, lr=0.008505, batch_cost=1.2619, reader_cost=0.0001 | ETA 23:25:34 2020-12-15 13:06:29 [INFO] [TRAIN] epoch=36, iter=13180/80000, loss=0.2800, lr=0.008504, batch_cost=1.0656, reader_cost=0.0006 | ETA 19:46:43 2020-12-15 13:06:39 [INFO] [TRAIN] epoch=36, iter=13190/80000, loss=0.2670, lr=0.008503, batch_cost=0.9958, reader_cost=0.0001 | ETA 18:28:50 2020-12-15 13:06:51 [INFO] [TRAIN] epoch=36, iter=13200/80000, loss=0.5822, lr=0.008502, batch_cost=1.2093, reader_cost=0.0001 | ETA 22:26:21 2020-12-15 13:07:04 [INFO] [TRAIN] epoch=36, iter=13210/80000, loss=0.3026, lr=0.008501, batch_cost=1.2693, reader_cost=0.0017 | ETA 23:32:57 2020-12-15 13:07:16 [INFO] [TRAIN] epoch=36, iter=13220/80000, loss=0.2276, lr=0.008500, batch_cost=1.1478, reader_cost=0.0001 | ETA 21:17:27 2020-12-15 13:07:28 [INFO] [TRAIN] epoch=36, iter=13230/80000, loss=0.5228, lr=0.008499, batch_cost=1.2583, reader_cost=0.0001 | ETA 23:20:17 2020-12-15 13:07:41 [INFO] [TRAIN] epoch=36, iter=13240/80000, loss=0.2789, lr=0.008497, batch_cost=1.2659, reader_cost=0.0004 | ETA 23:28:29 2020-12-15 13:07:53 [INFO] [TRAIN] epoch=36, iter=13250/80000, loss=0.2579, lr=0.008496, batch_cost=1.2267, reader_cost=0.0014 | ETA 22:44:38 2020-12-15 13:08:07 [INFO] [TRAIN] epoch=36, iter=13260/80000, loss=0.3378, lr=0.008495, batch_cost=1.4200, reader_cost=0.0022 | ETA 26:19:32 2020-12-15 13:08:18 [INFO] [TRAIN] epoch=36, iter=13270/80000, loss=0.2489, lr=0.008494, batch_cost=1.0324, reader_cost=0.0005 | ETA 19:08:12 2020-12-15 13:08:26 [INFO] [TRAIN] epoch=36, iter=13280/80000, loss=0.2687, lr=0.008493, batch_cost=0.8772, reader_cost=0.0005 | ETA 16:15:27 2020-12-15 13:08:39 [INFO] [TRAIN] epoch=36, iter=13290/80000, loss=0.1802, lr=0.008492, batch_cost=1.2656, reader_cost=0.0011 | ETA 23:27:06 2020-12-15 13:08:51 [INFO] [TRAIN] epoch=36, iter=13300/80000, loss=0.3952, lr=0.008491, batch_cost=1.1729, reader_cost=0.0005 | ETA 21:43:54 2020-12-15 13:09:03 [INFO] [TRAIN] epoch=36, iter=13310/80000, loss=0.2813, lr=0.008489, batch_cost=1.1801, reader_cost=0.0001 | ETA 21:51:39 2020-12-15 13:09:16 [INFO] [TRAIN] epoch=36, iter=13320/80000, loss=0.4310, lr=0.008488, batch_cost=1.3875, reader_cost=0.0001 | ETA 25:41:59 2020-12-15 13:09:28 [INFO] [TRAIN] epoch=36, iter=13330/80000, loss=0.1852, lr=0.008487, batch_cost=1.1424, reader_cost=0.0006 | ETA 21:09:25 2020-12-15 13:09:40 [INFO] [TRAIN] epoch=36, iter=13340/80000, loss=0.3176, lr=0.008486, batch_cost=1.1774, reader_cost=0.0001 | ETA 21:48:03 2020-12-15 13:09:53 [INFO] [TRAIN] epoch=36, iter=13350/80000, loss=0.3137, lr=0.008485, batch_cost=1.3040, reader_cost=0.0051 | ETA 24:08:28 2020-12-15 13:10:06 [INFO] [TRAIN] epoch=36, iter=13360/80000, loss=0.2718, lr=0.008484, batch_cost=1.2785, reader_cost=0.0005 | ETA 23:39:56 2020-12-15 13:10:17 [INFO] [TRAIN] epoch=36, iter=13370/80000, loss=0.1767, lr=0.008483, batch_cost=1.1595, reader_cost=0.0028 | ETA 21:27:40 2020-12-15 13:10:29 [INFO] [TRAIN] epoch=36, iter=13380/80000, loss=0.1998, lr=0.008481, batch_cost=1.1781, reader_cost=0.0018 | ETA 21:48:02 2020-12-15 13:10:40 [INFO] [TRAIN] epoch=36, iter=13390/80000, loss=0.2450, lr=0.008480, batch_cost=1.1370, reader_cost=0.0014 | ETA 21:02:16 2020-12-15 13:10:54 [INFO] [TRAIN] epoch=37, iter=13400/80000, loss=0.3482, lr=0.008479, batch_cost=1.3318, reader_cost=0.0701 | ETA 24:38:18 2020-12-15 13:11:05 [INFO] [TRAIN] epoch=37, iter=13410/80000, loss=0.2351, lr=0.008478, batch_cost=1.1646, reader_cost=0.0001 | ETA 21:32:31 2020-12-15 13:11:18 [INFO] [TRAIN] epoch=37, iter=13420/80000, loss=0.2801, lr=0.008477, batch_cost=1.2830, reader_cost=0.0001 | ETA 23:43:40 2020-12-15 13:11:30 [INFO] [TRAIN] epoch=37, iter=13430/80000, loss=0.4011, lr=0.008476, batch_cost=1.2210, reader_cost=0.0001 | ETA 22:34:43 2020-12-15 13:11:43 [INFO] [TRAIN] epoch=37, iter=13440/80000, loss=0.4461, lr=0.008475, batch_cost=1.3171, reader_cost=0.0009 | ETA 24:21:05 2020-12-15 13:11:55 [INFO] [TRAIN] epoch=37, iter=13450/80000, loss=0.2410, lr=0.008473, batch_cost=1.1127, reader_cost=0.0001 | ETA 20:34:10 2020-12-15 13:12:07 [INFO] [TRAIN] epoch=37, iter=13460/80000, loss=0.1958, lr=0.008472, batch_cost=1.2336, reader_cost=0.0001 | ETA 22:48:04 2020-12-15 13:12:19 [INFO] [TRAIN] epoch=37, iter=13470/80000, loss=0.4095, lr=0.008471, batch_cost=1.1787, reader_cost=0.0006 | ETA 21:47:01 2020-12-15 13:12:31 [INFO] [TRAIN] epoch=37, iter=13480/80000, loss=0.2319, lr=0.008470, batch_cost=1.2312, reader_cost=0.0005 | ETA 22:45:01 2020-12-15 13:12:43 [INFO] [TRAIN] epoch=37, iter=13490/80000, loss=0.3791, lr=0.008469, batch_cost=1.1515, reader_cost=0.0055 | ETA 21:16:23 2020-12-15 13:12:51 [INFO] [TRAIN] epoch=37, iter=13500/80000, loss=0.2813, lr=0.008468, batch_cost=0.8607, reader_cost=0.0006 | ETA 15:53:56 2020-12-15 13:13:04 [INFO] [TRAIN] epoch=37, iter=13510/80000, loss=0.3128, lr=0.008467, batch_cost=1.2386, reader_cost=0.0001 | ETA 22:52:31 2020-12-15 13:13:16 [INFO] [TRAIN] epoch=37, iter=13520/80000, loss=0.1952, lr=0.008465, batch_cost=1.2906, reader_cost=0.0001 | ETA 23:49:58 2020-12-15 13:13:29 [INFO] [TRAIN] epoch=37, iter=13530/80000, loss=0.4906, lr=0.008464, batch_cost=1.2899, reader_cost=0.0011 | ETA 23:48:57 2020-12-15 13:13:39 [INFO] [TRAIN] epoch=37, iter=13540/80000, loss=0.5581, lr=0.008463, batch_cost=0.9311, reader_cost=0.0008 | ETA 17:11:21 2020-12-15 13:13:47 [INFO] [TRAIN] epoch=37, iter=13550/80000, loss=0.2143, lr=0.008462, batch_cost=0.8212, reader_cost=0.0004 | ETA 15:09:27 2020-12-15 13:13:55 [INFO] [TRAIN] epoch=37, iter=13560/80000, loss=0.3113, lr=0.008461, batch_cost=0.8262, reader_cost=0.0001 | ETA 15:14:53 2020-12-15 13:14:03 [INFO] [TRAIN] epoch=37, iter=13570/80000, loss=0.2118, lr=0.008460, batch_cost=0.8253, reader_cost=0.0001 | ETA 15:13:47 2020-12-15 13:14:13 [INFO] [TRAIN] epoch=37, iter=13580/80000, loss=0.4569, lr=0.008459, batch_cost=0.9464, reader_cost=0.0045 | ETA 17:27:39 2020-12-15 13:14:26 [INFO] [TRAIN] epoch=37, iter=13590/80000, loss=0.2372, lr=0.008457, batch_cost=1.2777, reader_cost=0.0024 | ETA 23:34:11 2020-12-15 13:14:38 [INFO] [TRAIN] epoch=37, iter=13600/80000, loss=0.2231, lr=0.008456, batch_cost=1.2042, reader_cost=0.0087 | ETA 22:12:39 2020-12-15 13:14:50 [INFO] [TRAIN] epoch=37, iter=13610/80000, loss=0.2726, lr=0.008455, batch_cost=1.2221, reader_cost=0.0005 | ETA 22:32:15 2020-12-15 13:15:03 [INFO] [TRAIN] epoch=37, iter=13620/80000, loss=0.3123, lr=0.008454, batch_cost=1.2687, reader_cost=0.0018 | ETA 23:23:36 2020-12-15 13:15:15 [INFO] [TRAIN] epoch=37, iter=13630/80000, loss=0.2396, lr=0.008453, batch_cost=1.2389, reader_cost=0.0001 | ETA 22:50:23 2020-12-15 13:15:27 [INFO] [TRAIN] epoch=37, iter=13640/80000, loss=0.2899, lr=0.008452, batch_cost=1.2314, reader_cost=0.0006 | ETA 22:41:55 2020-12-15 13:15:40 [INFO] [TRAIN] epoch=37, iter=13650/80000, loss=0.2229, lr=0.008450, batch_cost=1.2892, reader_cost=0.0052 | ETA 23:45:38 2020-12-15 13:15:52 [INFO] [TRAIN] epoch=37, iter=13660/80000, loss=0.2743, lr=0.008449, batch_cost=1.1850, reader_cost=0.0036 | ETA 21:50:14 2020-12-15 13:16:05 [INFO] [TRAIN] epoch=37, iter=13670/80000, loss=0.1913, lr=0.008448, batch_cost=1.2767, reader_cost=0.0001 | ETA 23:31:23 2020-12-15 13:16:16 [INFO] [TRAIN] epoch=37, iter=13680/80000, loss=0.3026, lr=0.008447, batch_cost=1.1218, reader_cost=0.0004 | ETA 20:40:00 2020-12-15 13:16:28 [INFO] [TRAIN] epoch=37, iter=13690/80000, loss=0.1628, lr=0.008446, batch_cost=1.2066, reader_cost=0.0003 | ETA 22:13:31 2020-12-15 13:16:41 [INFO] [TRAIN] epoch=37, iter=13700/80000, loss=0.2508, lr=0.008445, batch_cost=1.3067, reader_cost=0.0003 | ETA 24:03:54 2020-12-15 13:16:54 [INFO] [TRAIN] epoch=37, iter=13710/80000, loss=0.2063, lr=0.008444, batch_cost=1.3255, reader_cost=0.0007 | ETA 24:24:30 2020-12-15 13:17:07 [INFO] [TRAIN] epoch=37, iter=13720/80000, loss=0.2744, lr=0.008442, batch_cost=1.2401, reader_cost=0.0013 | ETA 22:49:54 2020-12-15 13:17:19 [INFO] [TRAIN] epoch=37, iter=13730/80000, loss=0.2507, lr=0.008441, batch_cost=1.2434, reader_cost=0.0003 | ETA 22:53:20 2020-12-15 13:17:32 [INFO] [TRAIN] epoch=37, iter=13740/80000, loss=0.2708, lr=0.008440, batch_cost=1.3108, reader_cost=0.0045 | ETA 24:07:34 2020-12-15 13:17:43 [INFO] [TRAIN] epoch=37, iter=13750/80000, loss=0.2930, lr=0.008439, batch_cost=1.0708, reader_cost=0.0001 | ETA 19:42:19 2020-12-15 13:17:52 [INFO] [TRAIN] epoch=37, iter=13760/80000, loss=0.2857, lr=0.008438, batch_cost=0.9348, reader_cost=0.0001 | ETA 17:12:02 2020-12-15 13:18:04 [INFO] [TRAIN] epoch=38, iter=13770/80000, loss=0.5200, lr=0.008437, batch_cost=1.1985, reader_cost=0.0707 | ETA 22:02:57 2020-12-15 13:18:18 [INFO] [TRAIN] epoch=38, iter=13780/80000, loss=0.1787, lr=0.008436, batch_cost=1.3136, reader_cost=0.0001 | ETA 24:09:45 2020-12-15 13:18:29 [INFO] [TRAIN] epoch=38, iter=13790/80000, loss=0.3747, lr=0.008434, batch_cost=1.1451, reader_cost=0.0012 | ETA 21:03:38 2020-12-15 13:18:42 [INFO] [TRAIN] epoch=38, iter=13800/80000, loss=0.2429, lr=0.008433, batch_cost=1.2672, reader_cost=0.0020 | ETA 23:18:07 2020-12-15 13:18:55 [INFO] [TRAIN] epoch=38, iter=13810/80000, loss=0.2175, lr=0.008432, batch_cost=1.2895, reader_cost=0.0018 | ETA 23:42:30 2020-12-15 13:19:07 [INFO] [TRAIN] epoch=38, iter=13820/80000, loss=0.3195, lr=0.008431, batch_cost=1.2836, reader_cost=0.0001 | ETA 23:35:45 2020-12-15 13:19:20 [INFO] [TRAIN] epoch=38, iter=13830/80000, loss=0.4358, lr=0.008430, batch_cost=1.2732, reader_cost=0.0040 | ETA 23:24:07 2020-12-15 13:19:32 [INFO] [TRAIN] epoch=38, iter=13840/80000, loss=0.2395, lr=0.008429, batch_cost=1.2242, reader_cost=0.0014 | ETA 22:29:54 2020-12-15 13:19:46 [INFO] [TRAIN] epoch=38, iter=13850/80000, loss=0.3434, lr=0.008428, batch_cost=1.3234, reader_cost=0.0020 | ETA 24:19:04 2020-12-15 13:19:57 [INFO] [TRAIN] epoch=38, iter=13860/80000, loss=0.2636, lr=0.008426, batch_cost=1.1687, reader_cost=0.0051 | ETA 21:28:16 2020-12-15 13:20:10 [INFO] [TRAIN] epoch=38, iter=13870/80000, loss=0.3547, lr=0.008425, batch_cost=1.2470, reader_cost=0.0001 | ETA 22:54:25 2020-12-15 13:20:22 [INFO] [TRAIN] epoch=38, iter=13880/80000, loss=0.2109, lr=0.008424, batch_cost=1.2307, reader_cost=0.0003 | ETA 22:36:15 2020-12-15 13:20:34 [INFO] [TRAIN] epoch=38, iter=13890/80000, loss=0.2448, lr=0.008423, batch_cost=1.2201, reader_cost=0.0004 | ETA 22:24:18 2020-12-15 13:20:47 [INFO] [TRAIN] epoch=38, iter=13900/80000, loss=0.2815, lr=0.008422, batch_cost=1.2934, reader_cost=0.0014 | ETA 23:44:51 2020-12-15 13:21:00 [INFO] [TRAIN] epoch=38, iter=13910/80000, loss=0.2244, lr=0.008421, batch_cost=1.2767, reader_cost=0.0013 | ETA 23:26:16 2020-12-15 13:21:11 [INFO] [TRAIN] epoch=38, iter=13920/80000, loss=0.2491, lr=0.008420, batch_cost=1.1462, reader_cost=0.0002 | ETA 21:02:18 2020-12-15 13:21:23 [INFO] [TRAIN] epoch=38, iter=13930/80000, loss=0.1964, lr=0.008418, batch_cost=1.1829, reader_cost=0.0007 | ETA 21:42:33 2020-12-15 13:21:36 [INFO] [TRAIN] epoch=38, iter=13940/80000, loss=0.2124, lr=0.008417, batch_cost=1.2324, reader_cost=0.0001 | ETA 22:36:49 2020-12-15 13:21:48 [INFO] [TRAIN] epoch=38, iter=13950/80000, loss=0.2352, lr=0.008416, batch_cost=1.2582, reader_cost=0.0024 | ETA 23:05:07 2020-12-15 13:22:01 [INFO] [TRAIN] epoch=38, iter=13960/80000, loss=0.1882, lr=0.008415, batch_cost=1.2776, reader_cost=0.0027 | ETA 23:26:12 2020-12-15 13:22:11 [INFO] [TRAIN] epoch=38, iter=13970/80000, loss=0.3019, lr=0.008414, batch_cost=1.0237, reader_cost=0.0009 | ETA 18:46:33 2020-12-15 13:22:20 [INFO] [TRAIN] epoch=38, iter=13980/80000, loss=0.3937, lr=0.008413, batch_cost=0.8427, reader_cost=0.0001 | ETA 15:27:18 2020-12-15 13:22:32 [INFO] [TRAIN] epoch=38, iter=13990/80000, loss=0.2357, lr=0.008412, batch_cost=1.1969, reader_cost=0.0025 | ETA 21:56:49 2020-12-15 13:22:43 [INFO] [TRAIN] epoch=38, iter=14000/80000, loss=0.2905, lr=0.008410, batch_cost=1.1535, reader_cost=0.0038 | ETA 21:08:49 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 13:22:43 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 13:23:34 [INFO] [EVAL] #Images=500 mIoU=0.7098 Acc=0.9497 Kappa=0.9347 2020-12-15 13:23:34 [INFO] [EVAL] Class IoU: [0.9747 0.8042 0.908 0.523 0.5197 0.5444 0.642 0.7322 0.912 0.5756 0.9299 0.7387 0.5345 0.9302 0.6694 0.7627 0.5627 0.5057 0.7157] 2020-12-15 13:23:34 [INFO] [EVAL] Class Acc: [0.9883 0.8688 0.9458 0.7589 0.8627 0.7577 0.7634 0.8996 0.9485 0.8577 0.9516 0.8088 0.7074 0.9647 0.7872 0.9114 0.9138 0.6821 0.7995] 2020-12-15 13:23:41 [INFO] [EVAL] The model with the best validation mIoU (0.7161) was saved at iter 13000. 2020-12-15 13:23:53 [INFO] [TRAIN] epoch=38, iter=14010/80000, loss=0.3686, lr=0.008409, batch_cost=1.1949, reader_cost=0.0005 | ETA 21:54:13 2020-12-15 13:24:05 [INFO] [TRAIN] epoch=38, iter=14020/80000, loss=0.2082, lr=0.008408, batch_cost=1.1865, reader_cost=0.0014 | ETA 21:44:44 2020-12-15 13:24:17 [INFO] [TRAIN] epoch=38, iter=14030/80000, loss=0.1741, lr=0.008407, batch_cost=1.2513, reader_cost=0.0012 | ETA 22:55:49 2020-12-15 13:24:29 [INFO] [TRAIN] epoch=38, iter=14040/80000, loss=0.2212, lr=0.008406, batch_cost=1.1517, reader_cost=0.0003 | ETA 21:06:05 2020-12-15 13:24:41 [INFO] [TRAIN] epoch=38, iter=14050/80000, loss=0.3993, lr=0.008405, batch_cost=1.2468, reader_cost=0.0001 | ETA 22:50:29 2020-12-15 13:24:53 [INFO] [TRAIN] epoch=38, iter=14060/80000, loss=0.1761, lr=0.008403, batch_cost=1.1711, reader_cost=0.0001 | ETA 21:27:03 2020-12-15 13:25:05 [INFO] [TRAIN] epoch=38, iter=14070/80000, loss=0.2570, lr=0.008402, batch_cost=1.2299, reader_cost=0.0002 | ETA 22:31:24 2020-12-15 13:25:19 [INFO] [TRAIN] epoch=38, iter=14080/80000, loss=0.2470, lr=0.008401, batch_cost=1.3195, reader_cost=0.0001 | ETA 24:09:40 2020-12-15 13:25:31 [INFO] [TRAIN] epoch=38, iter=14090/80000, loss=0.1597, lr=0.008400, batch_cost=1.2713, reader_cost=0.0001 | ETA 23:16:34 2020-12-15 13:25:45 [INFO] [TRAIN] epoch=38, iter=14100/80000, loss=0.2204, lr=0.008399, batch_cost=1.3314, reader_cost=0.0001 | ETA 24:22:22 2020-12-15 13:25:57 [INFO] [TRAIN] epoch=38, iter=14110/80000, loss=0.1618, lr=0.008398, batch_cost=1.2680, reader_cost=0.0049 | ETA 23:12:29 2020-12-15 13:26:10 [INFO] [TRAIN] epoch=38, iter=14120/80000, loss=0.2308, lr=0.008397, batch_cost=1.2899, reader_cost=0.0012 | ETA 23:36:21 2020-12-15 13:26:22 [INFO] [TRAIN] epoch=38, iter=14130/80000, loss=0.2336, lr=0.008395, batch_cost=1.1337, reader_cost=0.0001 | ETA 20:44:39 2020-12-15 13:26:33 [INFO] [TRAIN] epoch=39, iter=14140/80000, loss=0.4039, lr=0.008394, batch_cost=1.1859, reader_cost=0.0555 | ETA 21:41:40 2020-12-15 13:26:43 [INFO] [TRAIN] epoch=39, iter=14150/80000, loss=0.2886, lr=0.008393, batch_cost=0.9733, reader_cost=0.0004 | ETA 17:48:10 2020-12-15 13:26:53 [INFO] [TRAIN] epoch=39, iter=14160/80000, loss=0.2683, lr=0.008392, batch_cost=0.9771, reader_cost=0.0001 | ETA 17:52:10 2020-12-15 13:27:06 [INFO] [TRAIN] epoch=39, iter=14170/80000, loss=0.1968, lr=0.008391, batch_cost=1.3093, reader_cost=0.0004 | ETA 23:56:30 2020-12-15 13:27:19 [INFO] [TRAIN] epoch=39, iter=14180/80000, loss=0.2595, lr=0.008390, batch_cost=1.3460, reader_cost=0.0002 | ETA 24:36:31 2020-12-15 13:27:31 [INFO] [TRAIN] epoch=39, iter=14190/80000, loss=0.2628, lr=0.008389, batch_cost=1.1988, reader_cost=0.0009 | ETA 21:54:54 2020-12-15 13:27:45 [INFO] [TRAIN] epoch=39, iter=14200/80000, loss=0.2836, lr=0.008387, batch_cost=1.3171, reader_cost=0.0001 | ETA 24:04:27 2020-12-15 13:27:57 [INFO] [TRAIN] epoch=39, iter=14210/80000, loss=0.2499, lr=0.008386, batch_cost=1.2631, reader_cost=0.0013 | ETA 23:04:56 2020-12-15 13:28:10 [INFO] [TRAIN] epoch=39, iter=14220/80000, loss=0.3528, lr=0.008385, batch_cost=1.2564, reader_cost=0.0001 | ETA 22:57:22 2020-12-15 13:28:22 [INFO] [TRAIN] epoch=39, iter=14230/80000, loss=0.3015, lr=0.008384, batch_cost=1.2118, reader_cost=0.0001 | ETA 22:08:17 2020-12-15 13:28:34 [INFO] [TRAIN] epoch=39, iter=14240/80000, loss=0.2659, lr=0.008383, batch_cost=1.2213, reader_cost=0.0036 | ETA 22:18:30 2020-12-15 13:28:48 [INFO] [TRAIN] epoch=39, iter=14250/80000, loss=0.2298, lr=0.008382, batch_cost=1.3829, reader_cost=0.0001 | ETA 25:15:26 2020-12-15 13:29:01 [INFO] [TRAIN] epoch=39, iter=14260/80000, loss=0.2310, lr=0.008381, batch_cost=1.3430, reader_cost=0.0039 | ETA 24:31:28 2020-12-15 13:29:13 [INFO] [TRAIN] epoch=39, iter=14270/80000, loss=0.1912, lr=0.008379, batch_cost=1.1914, reader_cost=0.0001 | ETA 21:45:09 2020-12-15 13:29:25 [INFO] [TRAIN] epoch=39, iter=14280/80000, loss=0.2662, lr=0.008378, batch_cost=1.1347, reader_cost=0.0007 | ETA 20:42:54 2020-12-15 13:29:39 [INFO] [TRAIN] epoch=39, iter=14290/80000, loss=0.3396, lr=0.008377, batch_cost=1.4047, reader_cost=0.0009 | ETA 25:38:21 2020-12-15 13:29:50 [INFO] [TRAIN] epoch=39, iter=14300/80000, loss=0.2422, lr=0.008376, batch_cost=1.1435, reader_cost=0.0005 | ETA 20:52:09 2020-12-15 13:30:02 [INFO] [TRAIN] epoch=39, iter=14310/80000, loss=0.2110, lr=0.008375, batch_cost=1.2120, reader_cost=0.0001 | ETA 22:06:56 2020-12-15 13:30:15 [INFO] [TRAIN] epoch=39, iter=14320/80000, loss=0.3867, lr=0.008374, batch_cost=1.2462, reader_cost=0.0001 | ETA 22:44:08 2020-12-15 13:30:26 [INFO] [TRAIN] epoch=39, iter=14330/80000, loss=0.2367, lr=0.008373, batch_cost=1.1315, reader_cost=0.0005 | ETA 20:38:27 2020-12-15 13:30:38 [INFO] [TRAIN] epoch=39, iter=14340/80000, loss=0.2440, lr=0.008371, batch_cost=1.1844, reader_cost=0.0006 | ETA 21:36:08 2020-12-15 13:30:50 [INFO] [TRAIN] epoch=39, iter=14350/80000, loss=0.2688, lr=0.008370, batch_cost=1.2132, reader_cost=0.0001 | ETA 22:07:26 2020-12-15 13:31:02 [INFO] [TRAIN] epoch=39, iter=14360/80000, loss=0.1976, lr=0.008369, batch_cost=1.1704, reader_cost=0.0001 | ETA 21:20:28 2020-12-15 13:31:10 [INFO] [TRAIN] epoch=39, iter=14370/80000, loss=0.1858, lr=0.008368, batch_cost=0.8680, reader_cost=0.0002 | ETA 15:49:25 2020-12-15 13:31:20 [INFO] [TRAIN] epoch=39, iter=14380/80000, loss=0.4406, lr=0.008367, batch_cost=0.9202, reader_cost=0.0001 | ETA 16:46:22 2020-12-15 13:31:33 [INFO] [TRAIN] epoch=39, iter=14390/80000, loss=0.2192, lr=0.008366, batch_cost=1.3578, reader_cost=0.0001 | ETA 24:44:45 2020-12-15 13:31:46 [INFO] [TRAIN] epoch=39, iter=14400/80000, loss=0.2395, lr=0.008364, batch_cost=1.2338, reader_cost=0.0005 | ETA 22:29:00 2020-12-15 13:31:57 [INFO] [TRAIN] epoch=39, iter=14410/80000, loss=0.2837, lr=0.008363, batch_cost=1.1771, reader_cost=0.0013 | ETA 21:26:43 2020-12-15 13:32:09 [INFO] [TRAIN] epoch=39, iter=14420/80000, loss=0.2020, lr=0.008362, batch_cost=1.1640, reader_cost=0.0001 | ETA 21:12:17 2020-12-15 13:32:20 [INFO] [TRAIN] epoch=39, iter=14430/80000, loss=0.2072, lr=0.008361, batch_cost=1.0805, reader_cost=0.0019 | ETA 19:40:49 2020-12-15 13:32:32 [INFO] [TRAIN] epoch=39, iter=14440/80000, loss=0.2195, lr=0.008360, batch_cost=1.1947, reader_cost=0.0001 | ETA 21:45:26 2020-12-15 13:32:45 [INFO] [TRAIN] epoch=39, iter=14450/80000, loss=0.1985, lr=0.008359, batch_cost=1.3549, reader_cost=0.0030 | ETA 24:40:10 2020-12-15 13:32:57 [INFO] [TRAIN] epoch=39, iter=14460/80000, loss=0.2585, lr=0.008358, batch_cost=1.2002, reader_cost=0.0001 | ETA 21:51:02 2020-12-15 13:33:10 [INFO] [TRAIN] epoch=39, iter=14470/80000, loss=0.2554, lr=0.008356, batch_cost=1.2719, reader_cost=0.0001 | ETA 23:09:06 2020-12-15 13:33:21 [INFO] [TRAIN] epoch=39, iter=14480/80000, loss=0.1555, lr=0.008355, batch_cost=1.1145, reader_cost=0.0001 | ETA 20:16:59 2020-12-15 13:33:33 [INFO] [TRAIN] epoch=39, iter=14490/80000, loss=0.2682, lr=0.008354, batch_cost=1.2133, reader_cost=0.0006 | ETA 22:04:44 2020-12-15 13:33:46 [INFO] [TRAIN] epoch=39, iter=14500/80000, loss=0.1804, lr=0.008353, batch_cost=1.2343, reader_cost=0.0010 | ETA 22:27:26 2020-12-15 13:33:58 [INFO] [TRAIN] epoch=40, iter=14510/80000, loss=0.1929, lr=0.008352, batch_cost=1.1850, reader_cost=0.0789 | ETA 21:33:24 2020-12-15 13:34:11 [INFO] [TRAIN] epoch=40, iter=14520/80000, loss=0.4025, lr=0.008351, batch_cost=1.3831, reader_cost=0.0016 | ETA 25:09:25 2020-12-15 13:34:24 [INFO] [TRAIN] epoch=40, iter=14530/80000, loss=0.4036, lr=0.008350, batch_cost=1.2187, reader_cost=0.0017 | ETA 22:09:49 2020-12-15 13:34:36 [INFO] [TRAIN] epoch=40, iter=14540/80000, loss=0.2234, lr=0.008348, batch_cost=1.2397, reader_cost=0.0037 | ETA 22:32:28 2020-12-15 13:34:49 [INFO] [TRAIN] epoch=40, iter=14550/80000, loss=0.1663, lr=0.008347, batch_cost=1.2717, reader_cost=0.0014 | ETA 23:07:12 2020-12-15 13:35:02 [INFO] [TRAIN] epoch=40, iter=14560/80000, loss=0.1882, lr=0.008346, batch_cost=1.2841, reader_cost=0.0020 | ETA 23:20:31 2020-12-15 13:35:14 [INFO] [TRAIN] epoch=40, iter=14570/80000, loss=0.5801, lr=0.008345, batch_cost=1.2853, reader_cost=0.0001 | ETA 23:21:37 2020-12-15 13:35:26 [INFO] [TRAIN] epoch=40, iter=14580/80000, loss=0.2219, lr=0.008344, batch_cost=1.1940, reader_cost=0.0001 | ETA 21:41:50 2020-12-15 13:35:37 [INFO] [TRAIN] epoch=40, iter=14590/80000, loss=0.2024, lr=0.008343, batch_cost=1.0469, reader_cost=0.0005 | ETA 19:01:18 2020-12-15 13:35:45 [INFO] [TRAIN] epoch=40, iter=14600/80000, loss=0.2479, lr=0.008342, batch_cost=0.8356, reader_cost=0.0004 | ETA 15:10:47 2020-12-15 13:35:57 [INFO] [TRAIN] epoch=40, iter=14610/80000, loss=0.2173, lr=0.008340, batch_cost=1.2347, reader_cost=0.0001 | ETA 22:25:35 2020-12-15 13:36:09 [INFO] [TRAIN] epoch=40, iter=14620/80000, loss=0.2377, lr=0.008339, batch_cost=1.1920, reader_cost=0.0005 | ETA 21:38:55 2020-12-15 13:36:21 [INFO] [TRAIN] epoch=40, iter=14630/80000, loss=0.1921, lr=0.008338, batch_cost=1.1709, reader_cost=0.0023 | ETA 21:15:40 2020-12-15 13:36:34 [INFO] [TRAIN] epoch=40, iter=14640/80000, loss=0.2300, lr=0.008337, batch_cost=1.3065, reader_cost=0.0001 | ETA 23:43:14 2020-12-15 13:36:46 [INFO] [TRAIN] epoch=40, iter=14650/80000, loss=0.3251, lr=0.008336, batch_cost=1.1849, reader_cost=0.0001 | ETA 21:30:36 2020-12-15 13:36:58 [INFO] [TRAIN] epoch=40, iter=14660/80000, loss=0.2434, lr=0.008335, batch_cost=1.2155, reader_cost=0.0033 | ETA 22:03:43 2020-12-15 13:37:11 [INFO] [TRAIN] epoch=40, iter=14670/80000, loss=0.2433, lr=0.008333, batch_cost=1.2704, reader_cost=0.0001 | ETA 23:03:18 2020-12-15 13:37:23 [INFO] [TRAIN] epoch=40, iter=14680/80000, loss=0.1910, lr=0.008332, batch_cost=1.1653, reader_cost=0.0006 | ETA 21:08:37 2020-12-15 13:37:35 [INFO] [TRAIN] epoch=40, iter=14690/80000, loss=0.2222, lr=0.008331, batch_cost=1.2236, reader_cost=0.0009 | ETA 22:11:50 2020-12-15 13:37:47 [INFO] [TRAIN] epoch=40, iter=14700/80000, loss=0.2673, lr=0.008330, batch_cost=1.2591, reader_cost=0.0007 | ETA 22:50:18 2020-12-15 13:37:59 [INFO] [TRAIN] epoch=40, iter=14710/80000, loss=0.2646, lr=0.008329, batch_cost=1.1497, reader_cost=0.0001 | ETA 20:51:02 2020-12-15 13:38:09 [INFO] [TRAIN] epoch=40, iter=14720/80000, loss=0.2774, lr=0.008328, batch_cost=1.0366, reader_cost=0.0001 | ETA 18:47:47 2020-12-15 13:38:18 [INFO] [TRAIN] epoch=40, iter=14730/80000, loss=0.2165, lr=0.008327, batch_cost=0.8375, reader_cost=0.0001 | ETA 15:11:01 2020-12-15 13:38:26 [INFO] [TRAIN] epoch=40, iter=14740/80000, loss=0.1842, lr=0.008325, batch_cost=0.8127, reader_cost=0.0001 | ETA 14:43:56 2020-12-15 13:38:34 [INFO] [TRAIN] epoch=40, iter=14750/80000, loss=0.2563, lr=0.008324, batch_cost=0.8314, reader_cost=0.0001 | ETA 15:04:07 2020-12-15 13:38:42 [INFO] [TRAIN] epoch=40, iter=14760/80000, loss=0.2726, lr=0.008323, batch_cost=0.8283, reader_cost=0.0001 | ETA 15:00:37 2020-12-15 13:38:53 [INFO] [TRAIN] epoch=40, iter=14770/80000, loss=0.2448, lr=0.008322, batch_cost=1.1076, reader_cost=0.0001 | ETA 20:04:11 2020-12-15 13:39:04 [INFO] [TRAIN] epoch=40, iter=14780/80000, loss=0.3022, lr=0.008321, batch_cost=1.0911, reader_cost=0.0027 | ETA 19:46:03 2020-12-15 13:39:16 [INFO] [TRAIN] epoch=40, iter=14790/80000, loss=0.2596, lr=0.008320, batch_cost=1.1880, reader_cost=0.0001 | ETA 21:31:06 2020-12-15 13:39:30 [INFO] [TRAIN] epoch=40, iter=14800/80000, loss=0.2079, lr=0.008319, batch_cost=1.3443, reader_cost=0.0013 | ETA 24:20:50 2020-12-15 13:39:43 [INFO] [TRAIN] epoch=40, iter=14810/80000, loss=0.1820, lr=0.008317, batch_cost=1.3450, reader_cost=0.0082 | ETA 24:21:22 2020-12-15 13:39:57 [INFO] [TRAIN] epoch=40, iter=14820/80000, loss=0.2656, lr=0.008316, batch_cost=1.3435, reader_cost=0.0001 | ETA 24:19:30 2020-12-15 13:40:09 [INFO] [TRAIN] epoch=40, iter=14830/80000, loss=0.1767, lr=0.008315, batch_cost=1.2597, reader_cost=0.0010 | ETA 22:48:16 2020-12-15 13:40:23 [INFO] [TRAIN] epoch=40, iter=14840/80000, loss=0.2352, lr=0.008314, batch_cost=1.3656, reader_cost=0.0001 | ETA 24:43:00 2020-12-15 13:40:37 [INFO] [TRAIN] epoch=40, iter=14850/80000, loss=0.2048, lr=0.008313, batch_cost=1.3758, reader_cost=0.0006 | ETA 24:53:50 2020-12-15 13:40:45 [INFO] [TRAIN] epoch=40, iter=14860/80000, loss=0.1933, lr=0.008312, batch_cost=0.8157, reader_cost=0.0001 | ETA 14:45:36 2020-12-15 13:40:56 [INFO] [TRAIN] epoch=40, iter=14870/80000, loss=0.2210, lr=0.008311, batch_cost=1.1541, reader_cost=0.0001 | ETA 20:52:49 2020-12-15 13:41:07 [INFO] [TRAIN] epoch=40, iter=14880/80000, loss=0.2283, lr=0.008309, batch_cost=1.0344, reader_cost=0.0001 | ETA 18:42:40 2020-12-15 13:41:21 [INFO] [TRAIN] epoch=41, iter=14890/80000, loss=0.2359, lr=0.008308, batch_cost=1.4229, reader_cost=0.0584 | ETA 25:44:07 2020-12-15 13:41:33 [INFO] [TRAIN] epoch=41, iter=14900/80000, loss=0.2427, lr=0.008307, batch_cost=1.1751, reader_cost=0.0001 | ETA 21:14:58 2020-12-15 13:41:45 [INFO] [TRAIN] epoch=41, iter=14910/80000, loss=0.2246, lr=0.008306, batch_cost=1.2475, reader_cost=0.0009 | ETA 22:33:17 2020-12-15 13:41:58 [INFO] [TRAIN] epoch=41, iter=14920/80000, loss=0.2465, lr=0.008305, batch_cost=1.2991, reader_cost=0.0028 | ETA 23:29:04 2020-12-15 13:42:12 [INFO] [TRAIN] epoch=41, iter=14930/80000, loss=0.2105, lr=0.008304, batch_cost=1.3878, reader_cost=0.0037 | ETA 25:05:04 2020-12-15 13:42:25 [INFO] [TRAIN] epoch=41, iter=14940/80000, loss=0.1695, lr=0.008302, batch_cost=1.2733, reader_cost=0.0030 | ETA 23:00:39 2020-12-15 13:42:37 [INFO] [TRAIN] epoch=41, iter=14950/80000, loss=0.2500, lr=0.008301, batch_cost=1.2479, reader_cost=0.0001 | ETA 22:32:55 2020-12-15 13:42:49 [INFO] [TRAIN] epoch=41, iter=14960/80000, loss=0.2569, lr=0.008300, batch_cost=1.1827, reader_cost=0.0010 | ETA 21:22:05 2020-12-15 13:43:01 [INFO] [TRAIN] epoch=41, iter=14970/80000, loss=0.2143, lr=0.008299, batch_cost=1.1975, reader_cost=0.0004 | ETA 21:37:55 2020-12-15 13:43:14 [INFO] [TRAIN] epoch=41, iter=14980/80000, loss=0.1868, lr=0.008298, batch_cost=1.2636, reader_cost=0.0005 | ETA 22:49:19 2020-12-15 13:43:26 [INFO] [TRAIN] epoch=41, iter=14990/80000, loss=0.4555, lr=0.008297, batch_cost=1.2822, reader_cost=0.0017 | ETA 23:09:14 2020-12-15 13:43:39 [INFO] [TRAIN] epoch=41, iter=15000/80000, loss=0.2404, lr=0.008296, batch_cost=1.2930, reader_cost=0.0001 | ETA 23:20:44 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 13:43:39 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 13:44:30 [INFO] [EVAL] #Images=500 mIoU=0.7018 Acc=0.9486 Kappa=0.9334 2020-12-15 13:44:30 [INFO] [EVAL] Class IoU: [0.9731 0.7992 0.9089 0.4788 0.5512 0.55 0.656 0.7342 0.9085 0.4349 0.9378 0.7781 0.5274 0.9403 0.5803 0.6826 0.5804 0.5699 0.7429] 2020-12-15 13:44:30 [INFO] [EVAL] Class Acc: [0.9895 0.8629 0.9506 0.7151 0.7507 0.7402 0.7696 0.8782 0.9386 0.9377 0.9627 0.8421 0.7726 0.9709 0.6111 0.8779 0.8063 0.8363 0.8613] 2020-12-15 13:44:37 [INFO] [EVAL] The model with the best validation mIoU (0.7161) was saved at iter 13000. 2020-12-15 13:44:49 [INFO] [TRAIN] epoch=41, iter=15010/80000, loss=0.2602, lr=0.008294, batch_cost=1.2231, reader_cost=0.0011 | ETA 22:04:47 2020-12-15 13:45:03 [INFO] [TRAIN] epoch=41, iter=15020/80000, loss=0.2330, lr=0.008293, batch_cost=1.3332, reader_cost=0.0017 | ETA 24:03:50 2020-12-15 13:45:11 [INFO] [TRAIN] epoch=41, iter=15030/80000, loss=0.2591, lr=0.008292, batch_cost=0.8335, reader_cost=0.0004 | ETA 15:02:35 2020-12-15 13:45:22 [INFO] [TRAIN] epoch=41, iter=15040/80000, loss=0.1855, lr=0.008291, batch_cost=1.0880, reader_cost=0.0001 | ETA 19:37:58 2020-12-15 13:45:35 [INFO] [TRAIN] epoch=41, iter=15050/80000, loss=0.1533, lr=0.008290, batch_cost=1.2837, reader_cost=0.0005 | ETA 23:09:37 2020-12-15 13:45:48 [INFO] [TRAIN] epoch=41, iter=15060/80000, loss=0.2640, lr=0.008289, batch_cost=1.3259, reader_cost=0.0001 | ETA 23:55:06 2020-12-15 13:46:00 [INFO] [TRAIN] epoch=41, iter=15070/80000, loss=0.1757, lr=0.008288, batch_cost=1.2128, reader_cost=0.0026 | ETA 21:52:26 2020-12-15 13:46:12 [INFO] [TRAIN] epoch=41, iter=15080/80000, loss=0.2217, lr=0.008286, batch_cost=1.2143, reader_cost=0.0001 | ETA 21:53:51 2020-12-15 13:46:25 [INFO] [TRAIN] epoch=41, iter=15090/80000, loss=0.3033, lr=0.008285, batch_cost=1.3018, reader_cost=0.0001 | ETA 23:28:20 2020-12-15 13:46:37 [INFO] [TRAIN] epoch=41, iter=15100/80000, loss=0.2614, lr=0.008284, batch_cost=1.1917, reader_cost=0.0001 | ETA 21:28:58 2020-12-15 13:46:49 [INFO] [TRAIN] epoch=41, iter=15110/80000, loss=0.2552, lr=0.008283, batch_cost=1.2046, reader_cost=0.0026 | ETA 21:42:46 2020-12-15 13:47:01 [INFO] [TRAIN] epoch=41, iter=15120/80000, loss=0.2952, lr=0.008282, batch_cost=1.1995, reader_cost=0.0014 | ETA 21:37:03 2020-12-15 13:47:14 [INFO] [TRAIN] epoch=41, iter=15130/80000, loss=0.3997, lr=0.008281, batch_cost=1.2364, reader_cost=0.0012 | ETA 22:16:45 2020-12-15 13:47:26 [INFO] [TRAIN] epoch=41, iter=15140/80000, loss=0.2739, lr=0.008280, batch_cost=1.2500, reader_cost=0.0030 | ETA 22:31:15 2020-12-15 13:47:38 [INFO] [TRAIN] epoch=41, iter=15150/80000, loss=0.2440, lr=0.008278, batch_cost=1.2196, reader_cost=0.0004 | ETA 21:58:13 2020-12-15 13:47:51 [INFO] [TRAIN] epoch=41, iter=15160/80000, loss=0.1830, lr=0.008277, batch_cost=1.2769, reader_cost=0.0001 | ETA 22:59:54 2020-12-15 13:48:03 [INFO] [TRAIN] epoch=41, iter=15170/80000, loss=0.2865, lr=0.008276, batch_cost=1.2358, reader_cost=0.0007 | ETA 22:15:15 2020-12-15 13:48:14 [INFO] [TRAIN] epoch=41, iter=15180/80000, loss=0.2957, lr=0.008275, batch_cost=1.0858, reader_cost=0.0049 | ETA 19:33:03 2020-12-15 13:48:26 [INFO] [TRAIN] epoch=41, iter=15190/80000, loss=0.4822, lr=0.008274, batch_cost=1.1881, reader_cost=0.0002 | ETA 21:23:21 2020-12-15 13:48:38 [INFO] [TRAIN] epoch=41, iter=15200/80000, loss=0.3391, lr=0.008273, batch_cost=1.1935, reader_cost=0.0001 | ETA 21:28:57 2020-12-15 13:48:51 [INFO] [TRAIN] epoch=41, iter=15210/80000, loss=0.2415, lr=0.008271, batch_cost=1.2777, reader_cost=0.0001 | ETA 22:59:40 2020-12-15 13:49:03 [INFO] [TRAIN] epoch=41, iter=15220/80000, loss=0.3961, lr=0.008270, batch_cost=1.2337, reader_cost=0.0002 | ETA 22:12:01 2020-12-15 13:49:15 [INFO] [TRAIN] epoch=41, iter=15230/80000, loss=0.2716, lr=0.008269, batch_cost=1.2240, reader_cost=0.0024 | ETA 22:01:18 2020-12-15 13:49:28 [INFO] [TRAIN] epoch=41, iter=15240/80000, loss=0.2498, lr=0.008268, batch_cost=1.2474, reader_cost=0.0019 | ETA 22:26:18 2020-12-15 13:49:38 [INFO] [TRAIN] epoch=41, iter=15250/80000, loss=0.3069, lr=0.008267, batch_cost=1.0229, reader_cost=0.0001 | ETA 18:23:54 2020-12-15 13:49:48 [INFO] [TRAIN] epoch=42, iter=15260/80000, loss=0.3649, lr=0.008266, batch_cost=1.0113, reader_cost=0.0542 | ETA 18:11:13 2020-12-15 13:50:01 [INFO] [TRAIN] epoch=42, iter=15270/80000, loss=0.3365, lr=0.008265, batch_cost=1.2716, reader_cost=0.0014 | ETA 22:51:49 2020-12-15 13:50:14 [INFO] [TRAIN] epoch=42, iter=15280/80000, loss=0.3598, lr=0.008263, batch_cost=1.2944, reader_cost=0.0015 | ETA 23:16:11 2020-12-15 13:50:27 [INFO] [TRAIN] epoch=42, iter=15290/80000, loss=0.2142, lr=0.008262, batch_cost=1.3379, reader_cost=0.0021 | ETA 24:02:58 2020-12-15 13:50:40 [INFO] [TRAIN] epoch=42, iter=15300/80000, loss=0.4116, lr=0.008261, batch_cost=1.3000, reader_cost=0.0037 | ETA 23:21:46 2020-12-15 13:50:52 [INFO] [TRAIN] epoch=42, iter=15310/80000, loss=0.2370, lr=0.008260, batch_cost=1.2250, reader_cost=0.0025 | ETA 22:00:46 2020-12-15 13:51:04 [INFO] [TRAIN] epoch=42, iter=15320/80000, loss=0.2262, lr=0.008259, batch_cost=1.1533, reader_cost=0.0001 | ETA 20:43:12 2020-12-15 13:51:15 [INFO] [TRAIN] epoch=42, iter=15330/80000, loss=0.2498, lr=0.008258, batch_cost=1.1260, reader_cost=0.0010 | ETA 20:13:40 2020-12-15 13:51:27 [INFO] [TRAIN] epoch=42, iter=15340/80000, loss=0.2438, lr=0.008257, batch_cost=1.2125, reader_cost=0.0006 | ETA 21:46:37 2020-12-15 13:51:39 [INFO] [TRAIN] epoch=42, iter=15350/80000, loss=0.3511, lr=0.008255, batch_cost=1.1788, reader_cost=0.0008 | ETA 21:10:08 2020-12-15 13:51:52 [INFO] [TRAIN] epoch=42, iter=15360/80000, loss=0.2320, lr=0.008254, batch_cost=1.3215, reader_cost=0.0020 | ETA 23:43:39 2020-12-15 13:52:05 [INFO] [TRAIN] epoch=42, iter=15370/80000, loss=0.1981, lr=0.008253, batch_cost=1.2609, reader_cost=0.0002 | ETA 22:38:15 2020-12-15 13:52:19 [INFO] [TRAIN] epoch=42, iter=15380/80000, loss=0.4538, lr=0.008252, batch_cost=1.3750, reader_cost=0.0014 | ETA 24:40:52 2020-12-15 13:52:31 [INFO] [TRAIN] epoch=42, iter=15390/80000, loss=0.3180, lr=0.008251, batch_cost=1.2237, reader_cost=0.0001 | ETA 21:57:40 2020-12-15 13:52:45 [INFO] [TRAIN] epoch=42, iter=15400/80000, loss=0.2413, lr=0.008250, batch_cost=1.4355, reader_cost=0.0001 | ETA 25:45:31 2020-12-15 13:52:57 [INFO] [TRAIN] epoch=42, iter=15410/80000, loss=0.3209, lr=0.008248, batch_cost=1.2040, reader_cost=0.0013 | ETA 21:36:07 2020-12-15 13:53:10 [INFO] [TRAIN] epoch=42, iter=15420/80000, loss=0.2079, lr=0.008247, batch_cost=1.3005, reader_cost=0.0008 | ETA 23:19:44 2020-12-15 13:53:23 [INFO] [TRAIN] epoch=42, iter=15430/80000, loss=0.3136, lr=0.008246, batch_cost=1.2647, reader_cost=0.0002 | ETA 22:41:01 2020-12-15 13:53:35 [INFO] [TRAIN] epoch=42, iter=15440/80000, loss=0.2764, lr=0.008245, batch_cost=1.1457, reader_cost=0.0010 | ETA 20:32:49 2020-12-15 13:53:48 [INFO] [TRAIN] epoch=42, iter=15450/80000, loss=0.1828, lr=0.008244, batch_cost=1.3512, reader_cost=0.0052 | ETA 24:13:37 2020-12-15 13:54:00 [INFO] [TRAIN] epoch=42, iter=15460/80000, loss=0.2141, lr=0.008243, batch_cost=1.2425, reader_cost=0.0001 | ETA 22:16:29 2020-12-15 13:54:14 [INFO] [TRAIN] epoch=42, iter=15470/80000, loss=0.1430, lr=0.008242, batch_cost=1.3321, reader_cost=0.0001 | ETA 23:52:37 2020-12-15 13:54:22 [INFO] [TRAIN] epoch=42, iter=15480/80000, loss=0.2012, lr=0.008240, batch_cost=0.8296, reader_cost=0.0001 | ETA 14:52:06 2020-12-15 13:54:34 [INFO] [TRAIN] epoch=42, iter=15490/80000, loss=0.2505, lr=0.008239, batch_cost=1.2212, reader_cost=0.0005 | ETA 21:53:00 2020-12-15 13:54:48 [INFO] [TRAIN] epoch=42, iter=15500/80000, loss=0.3245, lr=0.008238, batch_cost=1.3664, reader_cost=0.0022 | ETA 24:28:53 2020-12-15 13:54:59 [INFO] [TRAIN] epoch=42, iter=15510/80000, loss=0.3968, lr=0.008237, batch_cost=1.1208, reader_cost=0.0001 | ETA 20:04:40 2020-12-15 13:55:12 [INFO] [TRAIN] epoch=42, iter=15520/80000, loss=0.1860, lr=0.008236, batch_cost=1.2906, reader_cost=0.0023 | ETA 23:07:00 2020-12-15 13:55:25 [INFO] [TRAIN] epoch=42, iter=15530/80000, loss=0.2772, lr=0.008235, batch_cost=1.2621, reader_cost=0.0001 | ETA 22:36:08 2020-12-15 13:55:37 [INFO] [TRAIN] epoch=42, iter=15540/80000, loss=0.3714, lr=0.008234, batch_cost=1.2421, reader_cost=0.0001 | ETA 22:14:28 2020-12-15 13:55:49 [INFO] [TRAIN] epoch=42, iter=15550/80000, loss=0.2317, lr=0.008232, batch_cost=1.1615, reader_cost=0.0001 | ETA 20:47:40 2020-12-15 13:56:00 [INFO] [TRAIN] epoch=42, iter=15560/80000, loss=0.1957, lr=0.008231, batch_cost=1.1435, reader_cost=0.0009 | ETA 20:28:10 2020-12-15 13:56:12 [INFO] [TRAIN] epoch=42, iter=15570/80000, loss=0.3161, lr=0.008230, batch_cost=1.1867, reader_cost=0.0001 | ETA 21:14:17 2020-12-15 13:56:25 [INFO] [TRAIN] epoch=42, iter=15580/80000, loss=0.2856, lr=0.008229, batch_cost=1.3182, reader_cost=0.0010 | ETA 23:35:19 2020-12-15 13:56:40 [INFO] [TRAIN] epoch=42, iter=15590/80000, loss=0.2091, lr=0.008228, batch_cost=1.4860, reader_cost=0.0001 | ETA 26:35:13 2020-12-15 13:56:53 [INFO] [TRAIN] epoch=42, iter=15600/80000, loss=0.4486, lr=0.008227, batch_cost=1.2923, reader_cost=0.0005 | ETA 23:07:03 2020-12-15 13:57:07 [INFO] [TRAIN] epoch=42, iter=15610/80000, loss=0.1996, lr=0.008225, batch_cost=1.3727, reader_cost=0.0001 | ETA 24:33:05 2020-12-15 13:57:20 [INFO] [TRAIN] epoch=42, iter=15620/80000, loss=0.3572, lr=0.008224, batch_cost=1.3074, reader_cost=0.0038 | ETA 23:22:49 2020-12-15 13:57:32 [INFO] [TRAIN] epoch=43, iter=15630/80000, loss=0.2944, lr=0.008223, batch_cost=1.2393, reader_cost=0.0744 | ETA 22:09:31 2020-12-15 13:57:45 [INFO] [TRAIN] epoch=43, iter=15640/80000, loss=0.1759, lr=0.008222, batch_cost=1.3238, reader_cost=0.0001 | ETA 23:40:02 2020-12-15 13:58:00 [INFO] [TRAIN] epoch=43, iter=15650/80000, loss=0.2777, lr=0.008221, batch_cost=1.4512, reader_cost=0.0012 | ETA 25:56:22 2020-12-15 13:58:12 [INFO] [TRAIN] epoch=43, iter=15660/80000, loss=0.1731, lr=0.008220, batch_cost=1.2150, reader_cost=0.0010 | ETA 21:42:52 2020-12-15 13:58:24 [INFO] [TRAIN] epoch=43, iter=15670/80000, loss=0.2440, lr=0.008219, batch_cost=1.1870, reader_cost=0.0006 | ETA 21:12:38 2020-12-15 13:58:37 [INFO] [TRAIN] epoch=43, iter=15680/80000, loss=0.3425, lr=0.008217, batch_cost=1.2911, reader_cost=0.0001 | ETA 23:04:02 2020-12-15 13:58:52 [INFO] [TRAIN] epoch=43, iter=15690/80000, loss=0.2057, lr=0.008216, batch_cost=1.5005, reader_cost=0.0002 | ETA 26:48:14 2020-12-15 13:59:01 [INFO] [TRAIN] epoch=43, iter=15700/80000, loss=0.2042, lr=0.008215, batch_cost=0.8940, reader_cost=0.0001 | ETA 15:58:02 2020-12-15 13:59:12 [INFO] [TRAIN] epoch=43, iter=15710/80000, loss=0.2081, lr=0.008214, batch_cost=1.1324, reader_cost=0.0001 | ETA 20:13:19 2020-12-15 13:59:25 [INFO] [TRAIN] epoch=43, iter=15720/80000, loss=0.1850, lr=0.008213, batch_cost=1.3100, reader_cost=0.0001 | ETA 23:23:28 2020-12-15 13:59:38 [INFO] [TRAIN] epoch=43, iter=15730/80000, loss=0.2669, lr=0.008212, batch_cost=1.2826, reader_cost=0.0001 | ETA 22:53:53 2020-12-15 13:59:52 [INFO] [TRAIN] epoch=43, iter=15740/80000, loss=0.2016, lr=0.008211, batch_cost=1.3487, reader_cost=0.0055 | ETA 24:04:24 2020-12-15 14:00:03 [INFO] [TRAIN] epoch=43, iter=15750/80000, loss=0.2099, lr=0.008209, batch_cost=1.1532, reader_cost=0.0001 | ETA 20:34:50 2020-12-15 14:00:14 [INFO] [TRAIN] epoch=43, iter=15760/80000, loss=0.3633, lr=0.008208, batch_cost=1.1056, reader_cost=0.0027 | ETA 19:43:41 2020-12-15 14:00:27 [INFO] [TRAIN] epoch=43, iter=15770/80000, loss=0.3259, lr=0.008207, batch_cost=1.3176, reader_cost=0.0001 | ETA 23:30:28 2020-12-15 14:00:39 [INFO] [TRAIN] epoch=43, iter=15780/80000, loss=0.2541, lr=0.008206, batch_cost=1.1801, reader_cost=0.0001 | ETA 21:03:03 2020-12-15 14:00:52 [INFO] [TRAIN] epoch=43, iter=15790/80000, loss=0.3163, lr=0.008205, batch_cost=1.3036, reader_cost=0.0001 | ETA 23:15:05 2020-12-15 14:01:06 [INFO] [TRAIN] epoch=43, iter=15800/80000, loss=0.2449, lr=0.008204, batch_cost=1.3655, reader_cost=0.0003 | ETA 24:21:07 2020-12-15 14:01:18 [INFO] [TRAIN] epoch=43, iter=15810/80000, loss=0.3035, lr=0.008202, batch_cost=1.2549, reader_cost=0.0029 | ETA 22:22:34 2020-12-15 14:01:32 [INFO] [TRAIN] epoch=43, iter=15820/80000, loss=0.2362, lr=0.008201, batch_cost=1.3447, reader_cost=0.0012 | ETA 23:58:20 2020-12-15 14:01:44 [INFO] [TRAIN] epoch=43, iter=15830/80000, loss=0.2625, lr=0.008200, batch_cost=1.1866, reader_cost=0.0005 | ETA 21:09:01 2020-12-15 14:01:56 [INFO] [TRAIN] epoch=43, iter=15840/80000, loss=0.1875, lr=0.008199, batch_cost=1.2239, reader_cost=0.0001 | ETA 21:48:42 2020-12-15 14:02:08 [INFO] [TRAIN] epoch=43, iter=15850/80000, loss=0.3165, lr=0.008198, batch_cost=1.2267, reader_cost=0.0027 | ETA 21:51:31 2020-12-15 14:02:21 [INFO] [TRAIN] epoch=43, iter=15860/80000, loss=0.2611, lr=0.008197, batch_cost=1.3137, reader_cost=0.0018 | ETA 23:24:18 2020-12-15 14:02:34 [INFO] [TRAIN] epoch=43, iter=15870/80000, loss=0.2223, lr=0.008196, batch_cost=1.3096, reader_cost=0.0059 | ETA 23:19:43 2020-12-15 14:02:47 [INFO] [TRAIN] epoch=43, iter=15880/80000, loss=0.3361, lr=0.008194, batch_cost=1.2345, reader_cost=0.0001 | ETA 21:59:12 2020-12-15 14:02:59 [INFO] [TRAIN] epoch=43, iter=15890/80000, loss=0.2594, lr=0.008193, batch_cost=1.1879, reader_cost=0.0027 | ETA 21:09:18 2020-12-15 14:03:11 [INFO] [TRAIN] epoch=43, iter=15900/80000, loss=0.2711, lr=0.008192, batch_cost=1.2457, reader_cost=0.0001 | ETA 22:10:50 2020-12-15 14:03:20 [INFO] [TRAIN] epoch=43, iter=15910/80000, loss=0.2205, lr=0.008191, batch_cost=0.9321, reader_cost=0.0001 | ETA 16:35:39 2020-12-15 14:03:29 [INFO] [TRAIN] epoch=43, iter=15920/80000, loss=0.2693, lr=0.008190, batch_cost=0.8102, reader_cost=0.0001 | ETA 14:25:20 2020-12-15 14:03:37 [INFO] [TRAIN] epoch=43, iter=15930/80000, loss=0.2779, lr=0.008189, batch_cost=0.8009, reader_cost=0.0001 | ETA 14:15:15 2020-12-15 14:03:45 [INFO] [TRAIN] epoch=43, iter=15940/80000, loss=0.2220, lr=0.008188, batch_cost=0.8327, reader_cost=0.0001 | ETA 14:49:01 2020-12-15 14:03:53 [INFO] [TRAIN] epoch=43, iter=15950/80000, loss=0.4045, lr=0.008186, batch_cost=0.8014, reader_cost=0.0001 | ETA 14:15:29 2020-12-15 14:04:06 [INFO] [TRAIN] epoch=43, iter=15960/80000, loss=0.2375, lr=0.008185, batch_cost=1.3528, reader_cost=0.0008 | ETA 24:03:55 2020-12-15 14:04:15 [INFO] [TRAIN] epoch=43, iter=15970/80000, loss=0.2495, lr=0.008184, batch_cost=0.8727, reader_cost=0.0001 | ETA 15:31:19 2020-12-15 14:04:26 [INFO] [TRAIN] epoch=43, iter=15980/80000, loss=0.2612, lr=0.008183, batch_cost=1.1162, reader_cost=0.0001 | ETA 19:50:57 2020-12-15 14:04:44 [INFO] [TRAIN] epoch=43, iter=15990/80000, loss=0.2942, lr=0.008182, batch_cost=1.8047, reader_cost=0.0126 | ETA 32:05:17 2020-12-15 14:05:01 [INFO] [TRAIN] epoch=44, iter=16000/80000, loss=0.4344, lr=0.008181, batch_cost=1.6407, reader_cost=0.1068 | ETA 29:10:01 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 14:05:01 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 14:06:11 [INFO] [EVAL] #Images=500 mIoU=0.6940 Acc=0.9395 Kappa=0.9216 2020-12-15 14:06:11 [INFO] [EVAL] Class IoU: [0.9712 0.8043 0.8769 0.4724 0.5137 0.532 0.61 0.7199 0.8768 0.5272 0.9081 0.7251 0.5185 0.9238 0.6129 0.7129 0.6497 0.5152 0.7164] 2020-12-15 14:06:11 [INFO] [EVAL] Class Acc: [0.9859 0.8941 0.9572 0.7171 0.7126 0.6584 0.7765 0.8451 0.9054 0.8629 0.9272 0.7662 0.7845 0.9584 0.9578 0.8862 0.8207 0.7985 0.8239] 2020-12-15 14:06:21 [INFO] [EVAL] The model with the best validation mIoU (0.7161) was saved at iter 13000. 2020-12-15 14:06:42 [INFO] [TRAIN] epoch=44, iter=16010/80000, loss=0.4074, lr=0.008179, batch_cost=2.0603, reader_cost=0.0010 | ETA 36:37:15 2020-12-15 14:07:02 [INFO] [TRAIN] epoch=44, iter=16020/80000, loss=0.3580, lr=0.008178, batch_cost=1.9860, reader_cost=0.0079 | ETA 35:17:46 2020-12-15 14:07:22 [INFO] [TRAIN] epoch=44, iter=16030/80000, loss=0.2965, lr=0.008177, batch_cost=2.0678, reader_cost=0.0066 | ETA 36:44:39 2020-12-15 14:07:39 [INFO] [TRAIN] epoch=44, iter=16040/80000, loss=0.3272, lr=0.008176, batch_cost=1.6245, reader_cost=0.0017 | ETA 28:51:45 2020-12-15 14:07:57 [INFO] [TRAIN] epoch=44, iter=16050/80000, loss=0.3032, lr=0.008175, batch_cost=1.8660, reader_cost=0.0049 | ETA 33:08:51 2020-12-15 14:08:10 [INFO] [TRAIN] epoch=44, iter=16060/80000, loss=0.2218, lr=0.008174, batch_cost=1.3120, reader_cost=0.0009 | ETA 23:18:11 2020-12-15 14:08:25 [INFO] [TRAIN] epoch=44, iter=16070/80000, loss=0.1943, lr=0.008173, batch_cost=1.4502, reader_cost=0.0077 | ETA 25:45:11 2020-12-15 14:08:37 [INFO] [TRAIN] epoch=44, iter=16080/80000, loss=0.2558, lr=0.008171, batch_cost=1.2352, reader_cost=0.0020 | ETA 21:55:51 2020-12-15 14:08:50 [INFO] [TRAIN] epoch=44, iter=16090/80000, loss=0.3053, lr=0.008170, batch_cost=1.3016, reader_cost=0.0028 | ETA 23:06:24 2020-12-15 14:09:04 [INFO] [TRAIN] epoch=44, iter=16100/80000, loss=0.2505, lr=0.008169, batch_cost=1.3245, reader_cost=0.0001 | ETA 23:30:37 2020-12-15 14:09:21 [INFO] [TRAIN] epoch=44, iter=16110/80000, loss=0.2023, lr=0.008168, batch_cost=1.7829, reader_cost=0.0046 | ETA 31:38:31 2020-12-15 14:09:36 [INFO] [TRAIN] epoch=44, iter=16120/80000, loss=0.2148, lr=0.008167, batch_cost=1.4607, reader_cost=0.0017 | ETA 25:55:12 2020-12-15 14:09:53 [INFO] [TRAIN] epoch=44, iter=16130/80000, loss=0.3850, lr=0.008166, batch_cost=1.6756, reader_cost=0.0016 | ETA 29:43:41 2020-12-15 14:10:10 [INFO] [TRAIN] epoch=44, iter=16140/80000, loss=0.3098, lr=0.008165, batch_cost=1.7168, reader_cost=0.0003 | ETA 30:27:15 2020-12-15 14:10:26 [INFO] [TRAIN] epoch=44, iter=16150/80000, loss=0.2456, lr=0.008163, batch_cost=1.6095, reader_cost=0.0004 | ETA 28:32:47 2020-12-15 14:10:37 [INFO] [TRAIN] epoch=44, iter=16160/80000, loss=0.2691, lr=0.008162, batch_cost=1.1190, reader_cost=0.0001 | ETA 19:50:35 2020-12-15 14:10:51 [INFO] [TRAIN] epoch=44, iter=16170/80000, loss=0.2626, lr=0.008161, batch_cost=1.3937, reader_cost=0.0006 | ETA 24:42:38 2020-12-15 14:11:03 [INFO] [TRAIN] epoch=44, iter=16180/80000, loss=0.2210, lr=0.008160, batch_cost=1.1883, reader_cost=0.0017 | ETA 21:03:55 2020-12-15 14:11:18 [INFO] [TRAIN] epoch=44, iter=16190/80000, loss=0.5101, lr=0.008159, batch_cost=1.4683, reader_cost=0.0049 | ETA 26:01:30 2020-12-15 14:11:31 [INFO] [TRAIN] epoch=44, iter=16200/80000, loss=0.2082, lr=0.008158, batch_cost=1.3066, reader_cost=0.0037 | ETA 23:09:18 2020-12-15 14:11:45 [INFO] [TRAIN] epoch=44, iter=16210/80000, loss=0.3143, lr=0.008156, batch_cost=1.4676, reader_cost=0.0014 | ETA 26:00:18 2020-12-15 14:12:02 [INFO] [TRAIN] epoch=44, iter=16220/80000, loss=0.3021, lr=0.008155, batch_cost=1.6267, reader_cost=0.0026 | ETA 28:49:09 2020-12-15 14:12:16 [INFO] [TRAIN] epoch=44, iter=16230/80000, loss=0.2189, lr=0.008154, batch_cost=1.4545, reader_cost=0.0021 | ETA 25:45:52 2020-12-15 14:12:28 [INFO] [TRAIN] epoch=44, iter=16240/80000, loss=0.1895, lr=0.008153, batch_cost=1.1376, reader_cost=0.0025 | ETA 20:08:56 2020-12-15 14:12:42 [INFO] [TRAIN] epoch=44, iter=16250/80000, loss=0.2235, lr=0.008152, batch_cost=1.4196, reader_cost=0.0007 | ETA 25:08:20 2020-12-15 14:12:54 [INFO] [TRAIN] epoch=44, iter=16260/80000, loss=0.2614, lr=0.008151, batch_cost=1.1914, reader_cost=0.0001 | ETA 21:05:37 2020-12-15 14:13:07 [INFO] [TRAIN] epoch=44, iter=16270/80000, loss=0.1883, lr=0.008150, batch_cost=1.3294, reader_cost=0.0012 | ETA 23:32:00 2020-12-15 14:13:24 [INFO] [TRAIN] epoch=44, iter=16280/80000, loss=0.3085, lr=0.008148, batch_cost=1.7252, reader_cost=0.0001 | ETA 30:32:07 2020-12-15 14:13:36 [INFO] [TRAIN] epoch=44, iter=16290/80000, loss=0.2620, lr=0.008147, batch_cost=1.1877, reader_cost=0.0002 | ETA 21:01:11 2020-12-15 14:13:49 [INFO] [TRAIN] epoch=44, iter=16300/80000, loss=0.2572, lr=0.008146, batch_cost=1.2345, reader_cost=0.0001 | ETA 21:50:35 2020-12-15 14:14:07 [INFO] [TRAIN] epoch=44, iter=16310/80000, loss=0.2419, lr=0.008145, batch_cost=1.8339, reader_cost=0.0043 | ETA 32:26:42 2020-12-15 14:14:18 [INFO] [TRAIN] epoch=44, iter=16320/80000, loss=0.2362, lr=0.008144, batch_cost=1.1027, reader_cost=0.0005 | ETA 19:30:17 2020-12-15 14:14:30 [INFO] [TRAIN] epoch=44, iter=16330/80000, loss=0.2272, lr=0.008143, batch_cost=1.1668, reader_cost=0.0001 | ETA 20:38:09 2020-12-15 14:14:42 [INFO] [TRAIN] epoch=44, iter=16340/80000, loss=0.2456, lr=0.008142, batch_cost=1.2294, reader_cost=0.0028 | ETA 21:44:25 2020-12-15 14:14:54 [INFO] [TRAIN] epoch=44, iter=16350/80000, loss=0.2673, lr=0.008140, batch_cost=1.2215, reader_cost=0.0012 | ETA 21:35:50 2020-12-15 14:15:06 [INFO] [TRAIN] epoch=44, iter=16360/80000, loss=0.3013, lr=0.008139, batch_cost=1.1975, reader_cost=0.0004 | ETA 21:10:05 2020-12-15 14:15:18 [INFO] [TRAIN] epoch=45, iter=16370/80000, loss=0.3389, lr=0.008138, batch_cost=1.2419, reader_cost=0.0637 | ETA 21:57:02 2020-12-15 14:15:30 [INFO] [TRAIN] epoch=45, iter=16380/80000, loss=0.2769, lr=0.008137, batch_cost=1.1720, reader_cost=0.0004 | ETA 20:42:40 2020-12-15 14:15:41 [INFO] [TRAIN] epoch=45, iter=16390/80000, loss=0.1899, lr=0.008136, batch_cost=1.0522, reader_cost=0.0017 | ETA 18:35:33 2020-12-15 14:15:50 [INFO] [TRAIN] epoch=45, iter=16400/80000, loss=0.2512, lr=0.008135, batch_cost=0.8980, reader_cost=0.0001 | ETA 15:51:52 2020-12-15 14:16:01 [INFO] [TRAIN] epoch=45, iter=16410/80000, loss=0.2821, lr=0.008133, batch_cost=1.1359, reader_cost=0.0021 | ETA 20:03:53 2020-12-15 14:16:13 [INFO] [TRAIN] epoch=45, iter=16420/80000, loss=0.2303, lr=0.008132, batch_cost=1.1974, reader_cost=0.0001 | ETA 21:08:50 2020-12-15 14:16:25 [INFO] [TRAIN] epoch=45, iter=16430/80000, loss=0.2951, lr=0.008131, batch_cost=1.2350, reader_cost=0.0001 | ETA 21:48:29 2020-12-15 14:16:38 [INFO] [TRAIN] epoch=45, iter=16440/80000, loss=0.3260, lr=0.008130, batch_cost=1.3022, reader_cost=0.0001 | ETA 22:59:28 2020-12-15 14:16:51 [INFO] [TRAIN] epoch=45, iter=16450/80000, loss=0.1872, lr=0.008129, batch_cost=1.3029, reader_cost=0.0012 | ETA 22:59:59 2020-12-15 14:17:03 [INFO] [TRAIN] epoch=45, iter=16460/80000, loss=0.2362, lr=0.008128, batch_cost=1.1892, reader_cost=0.0011 | ETA 20:59:19 2020-12-15 14:17:15 [INFO] [TRAIN] epoch=45, iter=16470/80000, loss=0.2214, lr=0.008127, batch_cost=1.2069, reader_cost=0.0028 | ETA 21:17:56 2020-12-15 14:17:28 [INFO] [TRAIN] epoch=45, iter=16480/80000, loss=0.2980, lr=0.008125, batch_cost=1.2434, reader_cost=0.0013 | ETA 21:56:23 2020-12-15 14:17:40 [INFO] [TRAIN] epoch=45, iter=16490/80000, loss=0.3289, lr=0.008124, batch_cost=1.2192, reader_cost=0.0004 | ETA 21:30:29 2020-12-15 14:17:53 [INFO] [TRAIN] epoch=45, iter=16500/80000, loss=0.3135, lr=0.008123, batch_cost=1.2696, reader_cost=0.0009 | ETA 22:23:36 2020-12-15 14:18:05 [INFO] [TRAIN] epoch=45, iter=16510/80000, loss=0.2479, lr=0.008122, batch_cost=1.2237, reader_cost=0.0019 | ETA 21:34:55 2020-12-15 14:18:18 [INFO] [TRAIN] epoch=45, iter=16520/80000, loss=0.2195, lr=0.008121, batch_cost=1.2981, reader_cost=0.0001 | ETA 22:53:20 2020-12-15 14:18:30 [INFO] [TRAIN] epoch=45, iter=16530/80000, loss=0.2171, lr=0.008120, batch_cost=1.1927, reader_cost=0.0001 | ETA 21:01:41 2020-12-15 14:18:43 [INFO] [TRAIN] epoch=45, iter=16540/80000, loss=0.1144, lr=0.008118, batch_cost=1.2632, reader_cost=0.0005 | ETA 22:16:04 2020-12-15 14:18:55 [INFO] [TRAIN] epoch=45, iter=16550/80000, loss=0.2428, lr=0.008117, batch_cost=1.2031, reader_cost=0.0011 | ETA 21:12:16 2020-12-15 14:19:08 [INFO] [TRAIN] epoch=45, iter=16560/80000, loss=0.1780, lr=0.008116, batch_cost=1.3201, reader_cost=0.0033 | ETA 23:15:44 2020-12-15 14:19:20 [INFO] [TRAIN] epoch=45, iter=16570/80000, loss=0.2722, lr=0.008115, batch_cost=1.1952, reader_cost=0.0016 | ETA 21:03:32 2020-12-15 14:19:32 [INFO] [TRAIN] epoch=45, iter=16580/80000, loss=0.1973, lr=0.008114, batch_cost=1.2409, reader_cost=0.0017 | ETA 21:51:36 2020-12-15 14:19:46 [INFO] [TRAIN] epoch=45, iter=16590/80000, loss=0.1951, lr=0.008113, batch_cost=1.3696, reader_cost=0.0011 | ETA 24:07:23 2020-12-15 14:19:58 [INFO] [TRAIN] epoch=45, iter=16600/80000, loss=0.2692, lr=0.008112, batch_cost=1.2639, reader_cost=0.0001 | ETA 22:15:32 2020-12-15 14:20:08 [INFO] [TRAIN] epoch=45, iter=16610/80000, loss=0.2493, lr=0.008110, batch_cost=0.9560, reader_cost=0.0001 | ETA 16:49:59 2020-12-15 14:20:18 [INFO] [TRAIN] epoch=45, iter=16620/80000, loss=0.2101, lr=0.008109, batch_cost=0.9974, reader_cost=0.0005 | ETA 17:33:32 2020-12-15 14:20:30 [INFO] [TRAIN] epoch=45, iter=16630/80000, loss=0.1901, lr=0.008108, batch_cost=1.1562, reader_cost=0.0001 | ETA 20:21:09 2020-12-15 14:20:43 [INFO] [TRAIN] epoch=45, iter=16640/80000, loss=0.1988, lr=0.008107, batch_cost=1.3059, reader_cost=0.0001 | ETA 22:59:02 2020-12-15 14:20:54 [INFO] [TRAIN] epoch=45, iter=16650/80000, loss=0.2920, lr=0.008106, batch_cost=1.1638, reader_cost=0.0001 | ETA 20:28:45 2020-12-15 14:21:07 [INFO] [TRAIN] epoch=45, iter=16660/80000, loss=0.2557, lr=0.008105, batch_cost=1.2392, reader_cost=0.0032 | ETA 21:48:12 2020-12-15 14:21:19 [INFO] [TRAIN] epoch=45, iter=16670/80000, loss=0.2075, lr=0.008104, batch_cost=1.2125, reader_cost=0.0001 | ETA 21:19:49 2020-12-15 14:21:32 [INFO] [TRAIN] epoch=45, iter=16680/80000, loss=0.3161, lr=0.008102, batch_cost=1.2942, reader_cost=0.0005 | ETA 22:45:46 2020-12-15 14:21:44 [INFO] [TRAIN] epoch=45, iter=16690/80000, loss=0.2214, lr=0.008101, batch_cost=1.2211, reader_cost=0.0009 | ETA 21:28:28 2020-12-15 14:21:56 [INFO] [TRAIN] epoch=45, iter=16700/80000, loss=0.2304, lr=0.008100, batch_cost=1.2428, reader_cost=0.0013 | ETA 21:51:09 2020-12-15 14:22:09 [INFO] [TRAIN] epoch=45, iter=16710/80000, loss=0.1905, lr=0.008099, batch_cost=1.2493, reader_cost=0.0001 | ETA 21:57:46 2020-12-15 14:22:21 [INFO] [TRAIN] epoch=45, iter=16720/80000, loss=0.1979, lr=0.008098, batch_cost=1.2605, reader_cost=0.0001 | ETA 22:09:21 2020-12-15 14:22:34 [INFO] [TRAIN] epoch=45, iter=16730/80000, loss=0.1682, lr=0.008097, batch_cost=1.2579, reader_cost=0.0004 | ETA 22:06:24 2020-12-15 14:22:45 [INFO] [TRAIN] epoch=45, iter=16740/80000, loss=0.2343, lr=0.008095, batch_cost=1.0578, reader_cost=0.0001 | ETA 18:35:13 2020-12-15 14:22:58 [INFO] [TRAIN] epoch=46, iter=16750/80000, loss=0.2550, lr=0.008094, batch_cost=1.3839, reader_cost=0.0665 | ETA 24:18:50 2020-12-15 14:23:10 [INFO] [TRAIN] epoch=46, iter=16760/80000, loss=0.2505, lr=0.008093, batch_cost=1.1756, reader_cost=0.0005 | ETA 20:39:05 2020-12-15 14:23:22 [INFO] [TRAIN] epoch=46, iter=16770/80000, loss=0.1764, lr=0.008092, batch_cost=1.1273, reader_cost=0.0001 | ETA 19:47:59 2020-12-15 14:23:33 [INFO] [TRAIN] epoch=46, iter=16780/80000, loss=0.2110, lr=0.008091, batch_cost=1.1696, reader_cost=0.0001 | ETA 20:32:25 2020-12-15 14:23:46 [INFO] [TRAIN] epoch=46, iter=16790/80000, loss=0.2383, lr=0.008090, batch_cost=1.2832, reader_cost=0.0014 | ETA 22:31:50 2020-12-15 14:23:58 [INFO] [TRAIN] epoch=46, iter=16800/80000, loss=0.1802, lr=0.008089, batch_cost=1.1914, reader_cost=0.0005 | ETA 20:54:55 2020-12-15 14:24:10 [INFO] [TRAIN] epoch=46, iter=16810/80000, loss=0.2638, lr=0.008087, batch_cost=1.1721, reader_cost=0.0006 | ETA 20:34:22 2020-12-15 14:24:22 [INFO] [TRAIN] epoch=46, iter=16820/80000, loss=0.3710, lr=0.008086, batch_cost=1.2810, reader_cost=0.0023 | ETA 22:28:55 2020-12-15 14:24:34 [INFO] [TRAIN] epoch=46, iter=16830/80000, loss=0.2391, lr=0.008085, batch_cost=1.1134, reader_cost=0.0001 | ETA 19:32:14 2020-12-15 14:24:42 [INFO] [TRAIN] epoch=46, iter=16840/80000, loss=0.2393, lr=0.008084, batch_cost=0.8722, reader_cost=0.0001 | ETA 15:18:09 2020-12-15 14:24:55 [INFO] [TRAIN] epoch=46, iter=16850/80000, loss=0.2119, lr=0.008083, batch_cost=1.2737, reader_cost=0.0005 | ETA 22:20:37 2020-12-15 14:25:08 [INFO] [TRAIN] epoch=46, iter=16860/80000, loss=0.1789, lr=0.008082, batch_cost=1.3050, reader_cost=0.0010 | ETA 22:53:15 2020-12-15 14:25:20 [INFO] [TRAIN] epoch=46, iter=16870/80000, loss=0.2976, lr=0.008080, batch_cost=1.1603, reader_cost=0.0014 | ETA 20:20:49 2020-12-15 14:25:32 [INFO] [TRAIN] epoch=46, iter=16880/80000, loss=0.2640, lr=0.008079, batch_cost=1.2281, reader_cost=0.0001 | ETA 21:31:56 2020-12-15 14:25:44 [INFO] [TRAIN] epoch=46, iter=16890/80000, loss=0.3221, lr=0.008078, batch_cost=1.1592, reader_cost=0.0005 | ETA 20:19:15 2020-12-15 14:25:56 [INFO] [TRAIN] epoch=46, iter=16900/80000, loss=0.2035, lr=0.008077, batch_cost=1.1929, reader_cost=0.0021 | ETA 20:54:30 2020-12-15 14:26:09 [INFO] [TRAIN] epoch=46, iter=16910/80000, loss=0.1752, lr=0.008076, batch_cost=1.3393, reader_cost=0.0015 | ETA 23:28:17 2020-12-15 14:26:20 [INFO] [TRAIN] epoch=46, iter=16920/80000, loss=0.2123, lr=0.008075, batch_cost=1.1524, reader_cost=0.0034 | ETA 20:11:35 2020-12-15 14:26:32 [INFO] [TRAIN] epoch=46, iter=16930/80000, loss=0.1992, lr=0.008074, batch_cost=1.1654, reader_cost=0.0005 | ETA 20:24:59 2020-12-15 14:26:45 [INFO] [TRAIN] epoch=46, iter=16940/80000, loss=0.3825, lr=0.008072, batch_cost=1.2396, reader_cost=0.0005 | ETA 21:42:47 2020-12-15 14:26:58 [INFO] [TRAIN] epoch=46, iter=16950/80000, loss=0.2471, lr=0.008071, batch_cost=1.3334, reader_cost=0.0001 | ETA 23:21:11 2020-12-15 14:27:11 [INFO] [TRAIN] epoch=46, iter=16960/80000, loss=0.3166, lr=0.008070, batch_cost=1.2691, reader_cost=0.0005 | ETA 22:13:21 2020-12-15 14:27:23 [INFO] [TRAIN] epoch=46, iter=16970/80000, loss=0.2481, lr=0.008069, batch_cost=1.2216, reader_cost=0.0001 | ETA 21:23:19 2020-12-15 14:27:35 [INFO] [TRAIN] epoch=46, iter=16980/80000, loss=0.3717, lr=0.008068, batch_cost=1.2615, reader_cost=0.0014 | ETA 22:04:58 2020-12-15 14:27:48 [INFO] [TRAIN] epoch=46, iter=16990/80000, loss=0.2248, lr=0.008067, batch_cost=1.3110, reader_cost=0.0014 | ETA 22:56:48 2020-12-15 14:28:01 [INFO] [TRAIN] epoch=46, iter=17000/80000, loss=0.2118, lr=0.008066, batch_cost=1.2489, reader_cost=0.0014 | ETA 21:51:18 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 14:28:01 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 14:28:52 [INFO] [EVAL] #Images=500 mIoU=0.7062 Acc=0.9489 Kappa=0.9336 2020-12-15 14:28:52 [INFO] [EVAL] Class IoU: [0.976 0.8149 0.9019 0.2258 0.5364 0.541 0.6519 0.7466 0.9119 0.5734 0.9136 0.7856 0.5383 0.9271 0.7153 0.7889 0.6671 0.4748 0.7275] 2020-12-15 14:28:52 [INFO] [EVAL] Class Acc: [0.9857 0.9146 0.9439 0.8813 0.6759 0.782 0.8414 0.8597 0.9421 0.8753 0.9284 0.8673 0.827 0.9529 0.8385 0.9055 0.767 0.6155 0.7882] 2020-12-15 14:28:59 [INFO] [EVAL] The model with the best validation mIoU (0.7161) was saved at iter 13000. 2020-12-15 14:29:07 [INFO] [TRAIN] epoch=46, iter=17010/80000, loss=0.2187, lr=0.008064, batch_cost=0.8197, reader_cost=0.0001 | ETA 14:20:32 2020-12-15 14:29:18 [INFO] [TRAIN] epoch=46, iter=17020/80000, loss=0.2965, lr=0.008063, batch_cost=1.1366, reader_cost=0.0001 | ETA 19:53:03 2020-12-15 14:29:30 [INFO] [TRAIN] epoch=46, iter=17030/80000, loss=0.2830, lr=0.008062, batch_cost=1.1232, reader_cost=0.0019 | ETA 19:38:47 2020-12-15 14:29:42 [INFO] [TRAIN] epoch=46, iter=17040/80000, loss=0.2023, lr=0.008061, batch_cost=1.2721, reader_cost=0.0020 | ETA 22:14:49 2020-12-15 14:29:54 [INFO] [TRAIN] epoch=46, iter=17050/80000, loss=0.2287, lr=0.008060, batch_cost=1.2127, reader_cost=0.0005 | ETA 21:12:22 2020-12-15 14:30:06 [INFO] [TRAIN] epoch=46, iter=17060/80000, loss=0.2454, lr=0.008059, batch_cost=1.1516, reader_cost=0.0001 | ETA 20:07:59 2020-12-15 14:30:18 [INFO] [TRAIN] epoch=46, iter=17070/80000, loss=0.2096, lr=0.008057, batch_cost=1.2460, reader_cost=0.0015 | ETA 21:46:51 2020-12-15 14:30:28 [INFO] [TRAIN] epoch=46, iter=17080/80000, loss=0.2753, lr=0.008056, batch_cost=0.9590, reader_cost=0.0004 | ETA 16:45:38 2020-12-15 14:30:36 [INFO] [TRAIN] epoch=46, iter=17090/80000, loss=0.2270, lr=0.008055, batch_cost=0.8058, reader_cost=0.0001 | ETA 14:04:55 2020-12-15 14:30:44 [INFO] [TRAIN] epoch=46, iter=17100/80000, loss=0.2064, lr=0.008054, batch_cost=0.8182, reader_cost=0.0001 | ETA 14:17:42 2020-12-15 14:30:52 [INFO] [TRAIN] epoch=46, iter=17110/80000, loss=0.2468, lr=0.008053, batch_cost=0.8005, reader_cost=0.0001 | ETA 13:59:00 2020-12-15 14:31:02 [INFO] [TRAIN] epoch=47, iter=17120/80000, loss=0.1889, lr=0.008052, batch_cost=1.0008, reader_cost=0.0397 | ETA 17:28:49 2020-12-15 14:31:15 [INFO] [TRAIN] epoch=47, iter=17130/80000, loss=0.2513, lr=0.008051, batch_cost=1.2426, reader_cost=0.0042 | ETA 21:42:02 2020-12-15 14:31:26 [INFO] [TRAIN] epoch=47, iter=17140/80000, loss=0.2553, lr=0.008049, batch_cost=1.1640, reader_cost=0.0005 | ETA 20:19:28 2020-12-15 14:31:38 [INFO] [TRAIN] epoch=47, iter=17150/80000, loss=0.1987, lr=0.008048, batch_cost=1.2210, reader_cost=0.0001 | ETA 21:19:01 2020-12-15 14:31:51 [INFO] [TRAIN] epoch=47, iter=17160/80000, loss=0.8215, lr=0.008047, batch_cost=1.2837, reader_cost=0.0001 | ETA 22:24:28 2020-12-15 14:32:05 [INFO] [TRAIN] epoch=47, iter=17170/80000, loss=0.3081, lr=0.008046, batch_cost=1.3659, reader_cost=0.0020 | ETA 23:50:17 2020-12-15 14:32:18 [INFO] [TRAIN] epoch=47, iter=17180/80000, loss=0.2743, lr=0.008045, batch_cost=1.2778, reader_cost=0.0005 | ETA 22:17:52 2020-12-15 14:32:30 [INFO] [TRAIN] epoch=47, iter=17190/80000, loss=0.2115, lr=0.008044, batch_cost=1.1766, reader_cost=0.0013 | ETA 20:31:43 2020-12-15 14:32:42 [INFO] [TRAIN] epoch=47, iter=17200/80000, loss=0.1984, lr=0.008042, batch_cost=1.2739, reader_cost=0.0014 | ETA 22:13:23 2020-12-15 14:32:55 [INFO] [TRAIN] epoch=47, iter=17210/80000, loss=0.3163, lr=0.008041, batch_cost=1.2373, reader_cost=0.0005 | ETA 21:34:51 2020-12-15 14:33:06 [INFO] [TRAIN] epoch=47, iter=17220/80000, loss=0.1952, lr=0.008040, batch_cost=1.1571, reader_cost=0.0002 | ETA 20:10:40 2020-12-15 14:33:18 [INFO] [TRAIN] epoch=47, iter=17230/80000, loss=0.2645, lr=0.008039, batch_cost=1.1722, reader_cost=0.0006 | ETA 20:26:17 2020-12-15 14:33:31 [INFO] [TRAIN] epoch=47, iter=17240/80000, loss=0.3082, lr=0.008038, batch_cost=1.3485, reader_cost=0.0001 | ETA 23:30:32 2020-12-15 14:33:44 [INFO] [TRAIN] epoch=47, iter=17250/80000, loss=0.2278, lr=0.008037, batch_cost=1.2700, reader_cost=0.0037 | ETA 22:08:12 2020-12-15 14:33:56 [INFO] [TRAIN] epoch=47, iter=17260/80000, loss=0.1821, lr=0.008036, batch_cost=1.1733, reader_cost=0.0016 | ETA 20:26:54 2020-12-15 14:34:05 [INFO] [TRAIN] epoch=47, iter=17270/80000, loss=0.3525, lr=0.008034, batch_cost=0.9072, reader_cost=0.0002 | ETA 15:48:30 2020-12-15 14:34:15 [INFO] [TRAIN] epoch=47, iter=17280/80000, loss=0.2599, lr=0.008033, batch_cost=1.0464, reader_cost=0.0001 | ETA 18:13:52 2020-12-15 14:34:28 [INFO] [TRAIN] epoch=47, iter=17290/80000, loss=0.3461, lr=0.008032, batch_cost=1.2874, reader_cost=0.0024 | ETA 22:25:35 2020-12-15 14:34:40 [INFO] [TRAIN] epoch=47, iter=17300/80000, loss=0.2524, lr=0.008031, batch_cost=1.1922, reader_cost=0.0001 | ETA 20:45:53 2020-12-15 14:34:54 [INFO] [TRAIN] epoch=47, iter=17310/80000, loss=0.3549, lr=0.008030, batch_cost=1.3965, reader_cost=0.0067 | ETA 24:19:09 2020-12-15 14:35:08 [INFO] [TRAIN] epoch=47, iter=17320/80000, loss=0.3957, lr=0.008029, batch_cost=1.3439, reader_cost=0.0014 | ETA 23:23:54 2020-12-15 14:35:20 [INFO] [TRAIN] epoch=47, iter=17330/80000, loss=0.2995, lr=0.008027, batch_cost=1.2822, reader_cost=0.0001 | ETA 22:19:15 2020-12-15 14:35:32 [INFO] [TRAIN] epoch=47, iter=17340/80000, loss=0.1722, lr=0.008026, batch_cost=1.2036, reader_cost=0.0002 | ETA 20:56:58 2020-12-15 14:35:45 [INFO] [TRAIN] epoch=47, iter=17350/80000, loss=0.3963, lr=0.008025, batch_cost=1.2683, reader_cost=0.0014 | ETA 22:04:16 2020-12-15 14:35:58 [INFO] [TRAIN] epoch=47, iter=17360/80000, loss=0.4540, lr=0.008024, batch_cost=1.3163, reader_cost=0.0001 | ETA 22:54:15 2020-12-15 14:36:10 [INFO] [TRAIN] epoch=47, iter=17370/80000, loss=0.2337, lr=0.008023, batch_cost=1.1984, reader_cost=0.0001 | ETA 20:50:57 2020-12-15 14:36:23 [INFO] [TRAIN] epoch=47, iter=17380/80000, loss=0.3453, lr=0.008022, batch_cost=1.3096, reader_cost=0.0001 | ETA 22:46:48 2020-12-15 14:36:36 [INFO] [TRAIN] epoch=47, iter=17390/80000, loss=0.2629, lr=0.008021, batch_cost=1.2217, reader_cost=0.0001 | ETA 21:14:52 2020-12-15 14:36:48 [INFO] [TRAIN] epoch=47, iter=17400/80000, loss=0.2208, lr=0.008019, batch_cost=1.2300, reader_cost=0.0004 | ETA 21:23:18 2020-12-15 14:37:01 [INFO] [TRAIN] epoch=47, iter=17410/80000, loss=0.1992, lr=0.008018, batch_cost=1.2776, reader_cost=0.0005 | ETA 22:12:46 2020-12-15 14:37:13 [INFO] [TRAIN] epoch=47, iter=17420/80000, loss=0.2528, lr=0.008017, batch_cost=1.2144, reader_cost=0.0001 | ETA 21:06:35 2020-12-15 14:37:25 [INFO] [TRAIN] epoch=47, iter=17430/80000, loss=0.2403, lr=0.008016, batch_cost=1.2402, reader_cost=0.0001 | ETA 21:33:21 2020-12-15 14:37:37 [INFO] [TRAIN] epoch=47, iter=17440/80000, loss=0.3782, lr=0.008015, batch_cost=1.2019, reader_cost=0.0001 | ETA 20:53:13 2020-12-15 14:37:50 [INFO] [TRAIN] epoch=47, iter=17450/80000, loss=0.2111, lr=0.008014, batch_cost=1.2565, reader_cost=0.0001 | ETA 21:49:54 2020-12-15 14:38:02 [INFO] [TRAIN] epoch=47, iter=17460/80000, loss=0.3933, lr=0.008012, batch_cost=1.2496, reader_cost=0.0025 | ETA 21:42:28 2020-12-15 14:38:14 [INFO] [TRAIN] epoch=47, iter=17470/80000, loss=0.2529, lr=0.008011, batch_cost=1.2041, reader_cost=0.0027 | ETA 20:54:54 2020-12-15 14:38:26 [INFO] [TRAIN] epoch=47, iter=17480/80000, loss=0.3082, lr=0.008010, batch_cost=1.1507, reader_cost=0.0012 | ETA 19:59:01 2020-12-15 14:38:35 [INFO] [TRAIN] epoch=48, iter=17490/80000, loss=0.2424, lr=0.008009, batch_cost=0.9213, reader_cost=0.0536 | ETA 15:59:50 2020-12-15 14:38:46 [INFO] [TRAIN] epoch=48, iter=17500/80000, loss=0.2127, lr=0.008008, batch_cost=1.1124, reader_cost=0.0014 | ETA 19:18:42 2020-12-15 14:38:59 [INFO] [TRAIN] epoch=48, iter=17510/80000, loss=0.2614, lr=0.008007, batch_cost=1.2364, reader_cost=0.0011 | ETA 21:27:43 2020-12-15 14:39:11 [INFO] [TRAIN] epoch=48, iter=17520/80000, loss=0.2209, lr=0.008006, batch_cost=1.2438, reader_cost=0.0011 | ETA 21:35:09 2020-12-15 14:39:23 [INFO] [TRAIN] epoch=48, iter=17530/80000, loss=0.2723, lr=0.008004, batch_cost=1.1683, reader_cost=0.0003 | ETA 20:16:23 2020-12-15 14:39:34 [INFO] [TRAIN] epoch=48, iter=17540/80000, loss=0.2632, lr=0.008003, batch_cost=1.1773, reader_cost=0.0033 | ETA 20:25:31 2020-12-15 14:39:47 [INFO] [TRAIN] epoch=48, iter=17550/80000, loss=0.2314, lr=0.008002, batch_cost=1.2096, reader_cost=0.0001 | ETA 20:58:56 2020-12-15 14:39:58 [INFO] [TRAIN] epoch=48, iter=17560/80000, loss=0.1494, lr=0.008001, batch_cost=1.1937, reader_cost=0.0001 | ETA 20:42:16 2020-12-15 14:40:11 [INFO] [TRAIN] epoch=48, iter=17570/80000, loss=0.1714, lr=0.008000, batch_cost=1.2250, reader_cost=0.0022 | ETA 21:14:34 2020-12-15 14:40:23 [INFO] [TRAIN] epoch=48, iter=17580/80000, loss=0.2336, lr=0.007999, batch_cost=1.2307, reader_cost=0.0006 | ETA 21:20:20 2020-12-15 14:40:35 [INFO] [TRAIN] epoch=48, iter=17590/80000, loss=0.2006, lr=0.007997, batch_cost=1.2276, reader_cost=0.0002 | ETA 21:16:53 2020-12-15 14:40:49 [INFO] [TRAIN] epoch=48, iter=17600/80000, loss=0.2095, lr=0.007996, batch_cost=1.3819, reader_cost=0.0001 | ETA 23:57:12 2020-12-15 14:41:02 [INFO] [TRAIN] epoch=48, iter=17610/80000, loss=0.2378, lr=0.007995, batch_cost=1.2562, reader_cost=0.0002 | ETA 21:46:12 2020-12-15 14:41:14 [INFO] [TRAIN] epoch=48, iter=17620/80000, loss=0.3570, lr=0.007994, batch_cost=1.2604, reader_cost=0.0003 | ETA 21:50:24 2020-12-15 14:41:26 [INFO] [TRAIN] epoch=48, iter=17630/80000, loss=0.1723, lr=0.007993, batch_cost=1.2094, reader_cost=0.0001 | ETA 20:57:08 2020-12-15 14:41:38 [INFO] [TRAIN] epoch=48, iter=17640/80000, loss=0.1877, lr=0.007992, batch_cost=1.1330, reader_cost=0.0025 | ETA 19:37:34 2020-12-15 14:41:50 [INFO] [TRAIN] epoch=48, iter=17650/80000, loss=0.2587, lr=0.007991, batch_cost=1.2228, reader_cost=0.0021 | ETA 21:10:40 2020-12-15 14:42:02 [INFO] [TRAIN] epoch=48, iter=17660/80000, loss=0.1943, lr=0.007989, batch_cost=1.2099, reader_cost=0.0001 | ETA 20:57:08 2020-12-15 14:42:15 [INFO] [TRAIN] epoch=48, iter=17670/80000, loss=0.1934, lr=0.007988, batch_cost=1.2648, reader_cost=0.0021 | ETA 21:53:55 2020-12-15 14:42:27 [INFO] [TRAIN] epoch=48, iter=17680/80000, loss=0.2473, lr=0.007987, batch_cost=1.2044, reader_cost=0.0001 | ETA 20:50:59 2020-12-15 14:42:40 [INFO] [TRAIN] epoch=48, iter=17690/80000, loss=0.2327, lr=0.007986, batch_cost=1.3554, reader_cost=0.0001 | ETA 23:27:33 2020-12-15 14:42:53 [INFO] [TRAIN] epoch=48, iter=17700/80000, loss=0.2004, lr=0.007985, batch_cost=1.2415, reader_cost=0.0002 | ETA 21:29:07 2020-12-15 14:43:01 [INFO] [TRAIN] epoch=48, iter=17710/80000, loss=0.2183, lr=0.007984, batch_cost=0.8195, reader_cost=0.0005 | ETA 14:10:46 2020-12-15 14:43:11 [INFO] [TRAIN] epoch=48, iter=17720/80000, loss=0.1889, lr=0.007983, batch_cost=1.0273, reader_cost=0.0001 | ETA 17:46:17 2020-12-15 14:43:24 [INFO] [TRAIN] epoch=48, iter=17730/80000, loss=0.2958, lr=0.007981, batch_cost=1.2379, reader_cost=0.0001 | ETA 21:24:45 2020-12-15 14:43:36 [INFO] [TRAIN] epoch=48, iter=17740/80000, loss=0.3044, lr=0.007980, batch_cost=1.1956, reader_cost=0.0002 | ETA 20:40:40 2020-12-15 14:43:47 [INFO] [TRAIN] epoch=48, iter=17750/80000, loss=0.2081, lr=0.007979, batch_cost=1.1305, reader_cost=0.0010 | ETA 19:32:51 2020-12-15 14:44:00 [INFO] [TRAIN] epoch=48, iter=17760/80000, loss=0.2146, lr=0.007978, batch_cost=1.3421, reader_cost=0.0001 | ETA 23:12:13 2020-12-15 14:44:13 [INFO] [TRAIN] epoch=48, iter=17770/80000, loss=0.2906, lr=0.007977, batch_cost=1.2329, reader_cost=0.0005 | ETA 21:18:44 2020-12-15 14:44:25 [INFO] [TRAIN] epoch=48, iter=17780/80000, loss=0.2566, lr=0.007976, batch_cost=1.2778, reader_cost=0.0001 | ETA 22:05:07 2020-12-15 14:44:37 [INFO] [TRAIN] epoch=48, iter=17790/80000, loss=0.2293, lr=0.007974, batch_cost=1.1688, reader_cost=0.0012 | ETA 20:11:50 2020-12-15 14:44:50 [INFO] [TRAIN] epoch=48, iter=17800/80000, loss=0.2142, lr=0.007973, batch_cost=1.2499, reader_cost=0.0001 | ETA 21:35:42 2020-12-15 14:45:01 [INFO] [TRAIN] epoch=48, iter=17810/80000, loss=0.2890, lr=0.007972, batch_cost=1.1306, reader_cost=0.0001 | ETA 19:31:52 2020-12-15 14:45:13 [INFO] [TRAIN] epoch=48, iter=17820/80000, loss=0.1737, lr=0.007971, batch_cost=1.2078, reader_cost=0.0016 | ETA 20:51:40 2020-12-15 14:45:24 [INFO] [TRAIN] epoch=48, iter=17830/80000, loss=0.2284, lr=0.007970, batch_cost=1.0896, reader_cost=0.0001 | ETA 18:49:03 2020-12-15 14:45:35 [INFO] [TRAIN] epoch=48, iter=17840/80000, loss=0.1900, lr=0.007969, batch_cost=1.1536, reader_cost=0.0008 | ETA 19:55:10 2020-12-15 14:45:48 [INFO] [TRAIN] epoch=48, iter=17850/80000, loss=0.2592, lr=0.007968, batch_cost=1.2243, reader_cost=0.0005 | ETA 21:08:07 2020-12-15 14:46:00 [INFO] [TRAIN] epoch=49, iter=17860/80000, loss=0.2096, lr=0.007966, batch_cost=1.2639, reader_cost=0.0828 | ETA 21:49:01 2020-12-15 14:46:13 [INFO] [TRAIN] epoch=49, iter=17870/80000, loss=0.2033, lr=0.007965, batch_cost=1.2893, reader_cost=0.0023 | ETA 22:15:05 2020-12-15 14:46:26 [INFO] [TRAIN] epoch=49, iter=17880/80000, loss=0.2185, lr=0.007964, batch_cost=1.2403, reader_cost=0.0001 | ETA 21:24:10 2020-12-15 14:46:38 [INFO] [TRAIN] epoch=49, iter=17890/80000, loss=0.1874, lr=0.007963, batch_cost=1.2282, reader_cost=0.0001 | ETA 21:11:21 2020-12-15 14:46:50 [INFO] [TRAIN] epoch=49, iter=17900/80000, loss=0.1849, lr=0.007962, batch_cost=1.1773, reader_cost=0.0012 | ETA 20:18:29 2020-12-15 14:47:02 [INFO] [TRAIN] epoch=49, iter=17910/80000, loss=0.2177, lr=0.007961, batch_cost=1.2309, reader_cost=0.0021 | ETA 21:13:44 2020-12-15 14:47:13 [INFO] [TRAIN] epoch=49, iter=17920/80000, loss=0.1944, lr=0.007959, batch_cost=1.1520, reader_cost=0.0043 | ETA 19:51:59 2020-12-15 14:47:25 [INFO] [TRAIN] epoch=49, iter=17930/80000, loss=0.1776, lr=0.007958, batch_cost=1.1221, reader_cost=0.0001 | ETA 19:20:51 2020-12-15 14:47:33 [INFO] [TRAIN] epoch=49, iter=17940/80000, loss=0.2548, lr=0.007957, batch_cost=0.8372, reader_cost=0.0001 | ETA 14:25:57 2020-12-15 14:47:45 [INFO] [TRAIN] epoch=49, iter=17950/80000, loss=0.2292, lr=0.007956, batch_cost=1.1711, reader_cost=0.0001 | ETA 20:11:04 2020-12-15 14:47:58 [INFO] [TRAIN] epoch=49, iter=17960/80000, loss=0.1561, lr=0.007955, batch_cost=1.3205, reader_cost=0.0014 | ETA 22:45:21 2020-12-15 14:48:10 [INFO] [TRAIN] epoch=49, iter=17970/80000, loss=0.1531, lr=0.007954, batch_cost=1.2001, reader_cost=0.0019 | ETA 20:40:40 2020-12-15 14:48:23 [INFO] [TRAIN] epoch=49, iter=17980/80000, loss=0.1826, lr=0.007953, batch_cost=1.2531, reader_cost=0.0043 | ETA 21:35:20 2020-12-15 14:48:35 [INFO] [TRAIN] epoch=49, iter=17990/80000, loss=0.2035, lr=0.007951, batch_cost=1.2738, reader_cost=0.0012 | ETA 21:56:27 2020-12-15 14:48:46 [INFO] [TRAIN] epoch=49, iter=18000/80000, loss=0.1591, lr=0.007950, batch_cost=1.1163, reader_cost=0.0022 | ETA 19:13:31 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 14:48:46 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 14:49:37 [INFO] [EVAL] #Images=500 mIoU=0.7423 Acc=0.9543 Kappa=0.9407 2020-12-15 14:49:37 [INFO] [EVAL] Class IoU: [0.978 0.8317 0.9156 0.5511 0.5818 0.5577 0.6561 0.7496 0.913 0.6214 0.9405 0.7681 0.5552 0.9381 0.7775 0.8121 0.7083 0.5158 0.7326] 2020-12-15 14:49:37 [INFO] [EVAL] Class Acc: [0.9874 0.9248 0.9606 0.7871 0.7724 0.7624 0.8115 0.8815 0.9398 0.8059 0.9693 0.8157 0.7032 0.9606 0.8663 0.9186 0.8177 0.8082 0.8632] 2020-12-15 14:49:48 [INFO] [EVAL] The model with the best validation mIoU (0.7423) was saved at iter 18000. 2020-12-15 14:49:59 [INFO] [TRAIN] epoch=49, iter=18010/80000, loss=0.2320, lr=0.007949, batch_cost=1.1822, reader_cost=0.0012 | ETA 20:21:27 2020-12-15 14:50:12 [INFO] [TRAIN] epoch=49, iter=18020/80000, loss=0.2162, lr=0.007948, batch_cost=1.2831, reader_cost=0.0001 | ETA 22:05:29 2020-12-15 14:50:25 [INFO] [TRAIN] epoch=49, iter=18030/80000, loss=0.2195, lr=0.007947, batch_cost=1.2709, reader_cost=0.0039 | ETA 21:52:37 2020-12-15 14:50:37 [INFO] [TRAIN] epoch=49, iter=18040/80000, loss=0.2078, lr=0.007946, batch_cost=1.1646, reader_cost=0.0002 | ETA 20:02:39 2020-12-15 14:50:48 [INFO] [TRAIN] epoch=49, iter=18050/80000, loss=0.1975, lr=0.007944, batch_cost=1.1145, reader_cost=0.0014 | ETA 19:10:41 2020-12-15 14:51:00 [INFO] [TRAIN] epoch=49, iter=18060/80000, loss=0.4578, lr=0.007943, batch_cost=1.2182, reader_cost=0.0008 | ETA 20:57:34 2020-12-15 14:51:12 [INFO] [TRAIN] epoch=49, iter=18070/80000, loss=0.2719, lr=0.007942, batch_cost=1.2587, reader_cost=0.0003 | ETA 21:39:12 2020-12-15 14:51:26 [INFO] [TRAIN] epoch=49, iter=18080/80000, loss=0.2532, lr=0.007941, batch_cost=1.3182, reader_cost=0.0001 | ETA 22:40:21 2020-12-15 14:51:38 [INFO] [TRAIN] epoch=49, iter=18090/80000, loss=0.2431, lr=0.007940, batch_cost=1.2447, reader_cost=0.0011 | ETA 21:24:17 2020-12-15 14:51:51 [INFO] [TRAIN] epoch=49, iter=18100/80000, loss=0.1655, lr=0.007939, batch_cost=1.3382, reader_cost=0.0027 | ETA 23:00:36 2020-12-15 14:52:00 [INFO] [TRAIN] epoch=49, iter=18110/80000, loss=0.1930, lr=0.007938, batch_cost=0.9002, reader_cost=0.0003 | ETA 15:28:34 2020-12-15 14:52:12 [INFO] [TRAIN] epoch=49, iter=18120/80000, loss=0.2008, lr=0.007936, batch_cost=1.1204, reader_cost=0.0001 | ETA 19:15:30 2020-12-15 14:52:23 [INFO] [TRAIN] epoch=49, iter=18130/80000, loss=0.2945, lr=0.007935, batch_cost=1.1752, reader_cost=0.0020 | ETA 20:11:47 2020-12-15 14:52:35 [INFO] [TRAIN] epoch=49, iter=18140/80000, loss=0.2946, lr=0.007934, batch_cost=1.1581, reader_cost=0.0001 | ETA 19:53:59 2020-12-15 14:52:46 [INFO] [TRAIN] epoch=49, iter=18150/80000, loss=0.3378, lr=0.007933, batch_cost=1.1059, reader_cost=0.0003 | ETA 19:00:02 2020-12-15 14:52:59 [INFO] [TRAIN] epoch=49, iter=18160/80000, loss=0.3284, lr=0.007932, batch_cost=1.2577, reader_cost=0.0001 | ETA 21:36:13 2020-12-15 14:53:11 [INFO] [TRAIN] epoch=49, iter=18170/80000, loss=0.3272, lr=0.007931, batch_cost=1.2259, reader_cost=0.0015 | ETA 21:03:17 2020-12-15 14:53:22 [INFO] [TRAIN] epoch=49, iter=18180/80000, loss=0.2446, lr=0.007929, batch_cost=1.1580, reader_cost=0.0004 | ETA 19:53:07 2020-12-15 14:53:36 [INFO] [TRAIN] epoch=49, iter=18190/80000, loss=0.2441, lr=0.007928, batch_cost=1.3809, reader_cost=0.0001 | ETA 23:42:30 2020-12-15 14:53:48 [INFO] [TRAIN] epoch=49, iter=18200/80000, loss=0.3114, lr=0.007927, batch_cost=1.1714, reader_cost=0.0001 | ETA 20:06:31 2020-12-15 14:54:00 [INFO] [TRAIN] epoch=49, iter=18210/80000, loss=0.1887, lr=0.007926, batch_cost=1.1767, reader_cost=0.0001 | ETA 20:11:48 2020-12-15 14:54:12 [INFO] [TRAIN] epoch=49, iter=18220/80000, loss=0.2200, lr=0.007925, batch_cost=1.2100, reader_cost=0.0019 | ETA 20:45:52 2020-12-15 14:54:22 [INFO] [TRAIN] epoch=50, iter=18230/80000, loss=0.3692, lr=0.007924, batch_cost=1.0560, reader_cost=0.0630 | ETA 18:07:09 2020-12-15 14:54:36 [INFO] [TRAIN] epoch=50, iter=18240/80000, loss=0.2158, lr=0.007922, batch_cost=1.3086, reader_cost=0.0041 | ETA 22:26:58 2020-12-15 14:54:46 [INFO] [TRAIN] epoch=50, iter=18250/80000, loss=0.2555, lr=0.007921, batch_cost=1.0962, reader_cost=0.0016 | ETA 18:48:10 2020-12-15 14:54:58 [INFO] [TRAIN] epoch=50, iter=18260/80000, loss=0.2981, lr=0.007920, batch_cost=1.1352, reader_cost=0.0016 | ETA 19:28:10 2020-12-15 14:55:07 [INFO] [TRAIN] epoch=50, iter=18270/80000, loss=0.1872, lr=0.007919, batch_cost=0.9037, reader_cost=0.0035 | ETA 15:29:42 2020-12-15 14:55:15 [INFO] [TRAIN] epoch=50, iter=18280/80000, loss=0.2446, lr=0.007918, batch_cost=0.8106, reader_cost=0.0001 | ETA 13:53:50 2020-12-15 14:55:23 [INFO] [TRAIN] epoch=50, iter=18290/80000, loss=0.1816, lr=0.007917, batch_cost=0.8170, reader_cost=0.0000 | ETA 14:00:15 2020-12-15 14:55:31 [INFO] [TRAIN] epoch=50, iter=18300/80000, loss=0.2206, lr=0.007916, batch_cost=0.8173, reader_cost=0.0001 | ETA 14:00:29 2020-12-15 14:55:39 [INFO] [TRAIN] epoch=50, iter=18310/80000, loss=0.2190, lr=0.007914, batch_cost=0.8160, reader_cost=0.0001 | ETA 13:58:59 2020-12-15 14:55:52 [INFO] [TRAIN] epoch=50, iter=18320/80000, loss=0.1468, lr=0.007913, batch_cost=1.2555, reader_cost=0.0004 | ETA 21:30:41 2020-12-15 14:56:05 [INFO] [TRAIN] epoch=50, iter=18330/80000, loss=0.1806, lr=0.007912, batch_cost=1.3092, reader_cost=0.0002 | ETA 22:25:37 2020-12-15 14:56:19 [INFO] [TRAIN] epoch=50, iter=18340/80000, loss=0.2139, lr=0.007911, batch_cost=1.3590, reader_cost=0.0009 | ETA 23:16:33 2020-12-15 14:56:31 [INFO] [TRAIN] epoch=50, iter=18350/80000, loss=0.2128, lr=0.007910, batch_cost=1.2374, reader_cost=0.0012 | ETA 21:11:22 2020-12-15 14:56:43 [INFO] [TRAIN] epoch=50, iter=18360/80000, loss=0.3214, lr=0.007909, batch_cost=1.1807, reader_cost=0.0001 | ETA 20:13:01 2020-12-15 14:56:54 [INFO] [TRAIN] epoch=50, iter=18370/80000, loss=0.2201, lr=0.007907, batch_cost=1.1354, reader_cost=0.0002 | ETA 19:26:13 2020-12-15 14:57:05 [INFO] [TRAIN] epoch=50, iter=18380/80000, loss=0.2090, lr=0.007906, batch_cost=1.0468, reader_cost=0.0001 | ETA 17:55:01 2020-12-15 14:57:14 [INFO] [TRAIN] epoch=50, iter=18390/80000, loss=0.1778, lr=0.007905, batch_cost=0.9224, reader_cost=0.0001 | ETA 15:47:11 2020-12-15 14:57:27 [INFO] [TRAIN] epoch=50, iter=18400/80000, loss=0.1829, lr=0.007904, batch_cost=1.2988, reader_cost=0.0029 | ETA 22:13:25 2020-12-15 14:57:39 [INFO] [TRAIN] epoch=50, iter=18410/80000, loss=0.2627, lr=0.007903, batch_cost=1.1844, reader_cost=0.0047 | ETA 20:15:45 2020-12-15 14:57:52 [INFO] [TRAIN] epoch=50, iter=18420/80000, loss=0.2357, lr=0.007902, batch_cost=1.2738, reader_cost=0.0002 | ETA 21:47:22 2020-12-15 14:58:04 [INFO] [TRAIN] epoch=50, iter=18430/80000, loss=0.2169, lr=0.007901, batch_cost=1.2817, reader_cost=0.0022 | ETA 21:55:12 2020-12-15 14:58:16 [INFO] [TRAIN] epoch=50, iter=18440/80000, loss=0.3125, lr=0.007899, batch_cost=1.2035, reader_cost=0.0012 | ETA 20:34:45 2020-12-15 14:58:29 [INFO] [TRAIN] epoch=50, iter=18450/80000, loss=0.1994, lr=0.007898, batch_cost=1.2417, reader_cost=0.0001 | ETA 21:13:48 2020-12-15 14:58:41 [INFO] [TRAIN] epoch=50, iter=18460/80000, loss=0.2337, lr=0.007897, batch_cost=1.2171, reader_cost=0.0001 | ETA 20:48:18 2020-12-15 14:58:54 [INFO] [TRAIN] epoch=50, iter=18470/80000, loss=0.2664, lr=0.007896, batch_cost=1.2714, reader_cost=0.0001 | ETA 21:43:49 2020-12-15 14:59:06 [INFO] [TRAIN] epoch=50, iter=18480/80000, loss=0.1747, lr=0.007895, batch_cost=1.1886, reader_cost=0.0005 | ETA 20:18:43 2020-12-15 14:59:18 [INFO] [TRAIN] epoch=50, iter=18490/80000, loss=0.3075, lr=0.007894, batch_cost=1.2118, reader_cost=0.0001 | ETA 20:42:16 2020-12-15 14:59:31 [INFO] [TRAIN] epoch=50, iter=18500/80000, loss=0.2300, lr=0.007892, batch_cost=1.3066, reader_cost=0.0015 | ETA 22:19:13 2020-12-15 14:59:41 [INFO] [TRAIN] epoch=50, iter=18510/80000, loss=0.1502, lr=0.007891, batch_cost=1.0421, reader_cost=0.0004 | ETA 17:48:01 2020-12-15 14:59:53 [INFO] [TRAIN] epoch=50, iter=18520/80000, loss=0.2223, lr=0.007890, batch_cost=1.1359, reader_cost=0.0001 | ETA 19:23:58 2020-12-15 15:00:05 [INFO] [TRAIN] epoch=50, iter=18530/80000, loss=0.3094, lr=0.007889, batch_cost=1.2385, reader_cost=0.0016 | ETA 21:08:51 2020-12-15 15:00:17 [INFO] [TRAIN] epoch=50, iter=18540/80000, loss=0.2383, lr=0.007888, batch_cost=1.1649, reader_cost=0.0035 | ETA 19:53:15 2020-12-15 15:00:29 [INFO] [TRAIN] epoch=50, iter=18550/80000, loss=0.1854, lr=0.007887, batch_cost=1.2099, reader_cost=0.0021 | ETA 20:39:09 2020-12-15 15:00:39 [INFO] [TRAIN] epoch=50, iter=18560/80000, loss=0.1872, lr=0.007886, batch_cost=1.0580, reader_cost=0.0001 | ETA 18:03:26 2020-12-15 15:00:50 [INFO] [TRAIN] epoch=50, iter=18570/80000, loss=0.2651, lr=0.007884, batch_cost=1.0994, reader_cost=0.0050 | ETA 18:45:36 2020-12-15 15:01:02 [INFO] [TRAIN] epoch=50, iter=18580/80000, loss=0.2418, lr=0.007883, batch_cost=1.1437, reader_cost=0.0001 | ETA 19:30:44 2020-12-15 15:01:13 [INFO] [TRAIN] epoch=50, iter=18590/80000, loss=0.1971, lr=0.007882, batch_cost=1.1317, reader_cost=0.0003 | ETA 19:18:17 2020-12-15 15:01:23 [INFO] [TRAIN] epoch=50, iter=18600/80000, loss=0.2207, lr=0.007881, batch_cost=1.0449, reader_cost=0.0019 | ETA 17:49:18 2020-12-15 15:01:35 [INFO] [TRAIN] epoch=51, iter=18610/80000, loss=0.2229, lr=0.007880, batch_cost=1.1051, reader_cost=0.0552 | ETA 18:50:39 2020-12-15 15:01:43 [INFO] [TRAIN] epoch=51, iter=18620/80000, loss=0.2116, lr=0.007879, batch_cost=0.8505, reader_cost=0.0001 | ETA 14:30:05 2020-12-15 15:01:56 [INFO] [TRAIN] epoch=51, iter=18630/80000, loss=0.2528, lr=0.007877, batch_cost=1.2912, reader_cost=0.0002 | ETA 22:00:37 2020-12-15 15:02:09 [INFO] [TRAIN] epoch=51, iter=18640/80000, loss=0.1708, lr=0.007876, batch_cost=1.2966, reader_cost=0.0004 | ETA 22:05:56 2020-12-15 15:02:21 [INFO] [TRAIN] epoch=51, iter=18650/80000, loss=0.1734, lr=0.007875, batch_cost=1.2085, reader_cost=0.0014 | ETA 20:35:43 2020-12-15 15:02:34 [INFO] [TRAIN] epoch=51, iter=18660/80000, loss=0.1844, lr=0.007874, batch_cost=1.2639, reader_cost=0.0002 | ETA 21:32:08 2020-12-15 15:02:46 [INFO] [TRAIN] epoch=51, iter=18670/80000, loss=0.2818, lr=0.007873, batch_cost=1.2096, reader_cost=0.0002 | ETA 20:36:27 2020-12-15 15:02:58 [INFO] [TRAIN] epoch=51, iter=18680/80000, loss=0.3824, lr=0.007872, batch_cost=1.1817, reader_cost=0.0015 | ETA 20:07:43 2020-12-15 15:03:11 [INFO] [TRAIN] epoch=51, iter=18690/80000, loss=0.2710, lr=0.007871, batch_cost=1.3168, reader_cost=0.0004 | ETA 22:25:35 2020-12-15 15:03:22 [INFO] [TRAIN] epoch=51, iter=18700/80000, loss=0.2915, lr=0.007869, batch_cost=1.1327, reader_cost=0.0020 | ETA 19:17:15 2020-12-15 15:03:34 [INFO] [TRAIN] epoch=51, iter=18710/80000, loss=0.3501, lr=0.007868, batch_cost=1.2323, reader_cost=0.0010 | ETA 20:58:49 2020-12-15 15:03:46 [INFO] [TRAIN] epoch=51, iter=18720/80000, loss=0.1915, lr=0.007867, batch_cost=1.1731, reader_cost=0.0001 | ETA 19:58:09 2020-12-15 15:03:59 [INFO] [TRAIN] epoch=51, iter=18730/80000, loss=0.2314, lr=0.007866, batch_cost=1.2870, reader_cost=0.0012 | ETA 21:54:15 2020-12-15 15:04:11 [INFO] [TRAIN] epoch=51, iter=18740/80000, loss=0.2989, lr=0.007865, batch_cost=1.1928, reader_cost=0.0001 | ETA 20:17:53 2020-12-15 15:04:24 [INFO] [TRAIN] epoch=51, iter=18750/80000, loss=0.1812, lr=0.007864, batch_cost=1.2946, reader_cost=0.0005 | ETA 22:01:37 2020-12-15 15:04:36 [INFO] [TRAIN] epoch=51, iter=18760/80000, loss=0.2666, lr=0.007862, batch_cost=1.2588, reader_cost=0.0003 | ETA 21:24:51 2020-12-15 15:04:49 [INFO] [TRAIN] epoch=51, iter=18770/80000, loss=0.1890, lr=0.007861, batch_cost=1.2547, reader_cost=0.0001 | ETA 21:20:27 2020-12-15 15:05:02 [INFO] [TRAIN] epoch=51, iter=18780/80000, loss=0.2441, lr=0.007860, batch_cost=1.2890, reader_cost=0.0001 | ETA 21:55:10 2020-12-15 15:05:14 [INFO] [TRAIN] epoch=51, iter=18790/80000, loss=0.2543, lr=0.007859, batch_cost=1.2522, reader_cost=0.0002 | ETA 21:17:24 2020-12-15 15:05:28 [INFO] [TRAIN] epoch=51, iter=18800/80000, loss=0.1967, lr=0.007858, batch_cost=1.3771, reader_cost=0.0082 | ETA 23:24:39 2020-12-15 15:05:40 [INFO] [TRAIN] epoch=51, iter=18810/80000, loss=0.1899, lr=0.007857, batch_cost=1.1864, reader_cost=0.0022 | ETA 20:09:55 2020-12-15 15:05:52 [INFO] [TRAIN] epoch=51, iter=18820/80000, loss=0.2294, lr=0.007856, batch_cost=1.2393, reader_cost=0.0001 | ETA 21:03:41 2020-12-15 15:06:02 [INFO] [TRAIN] epoch=51, iter=18830/80000, loss=0.1771, lr=0.007854, batch_cost=0.9604, reader_cost=0.0007 | ETA 16:19:04 2020-12-15 15:06:10 [INFO] [TRAIN] epoch=51, iter=18840/80000, loss=0.2477, lr=0.007853, batch_cost=0.8157, reader_cost=0.0001 | ETA 13:51:26 2020-12-15 15:06:22 [INFO] [TRAIN] epoch=51, iter=18850/80000, loss=0.2249, lr=0.007852, batch_cost=1.2175, reader_cost=0.0053 | ETA 20:40:52 2020-12-15 15:06:36 [INFO] [TRAIN] epoch=51, iter=18860/80000, loss=0.1641, lr=0.007851, batch_cost=1.3319, reader_cost=0.0001 | ETA 22:37:10 2020-12-15 15:06:48 [INFO] [TRAIN] epoch=51, iter=18870/80000, loss=0.1937, lr=0.007850, batch_cost=1.2103, reader_cost=0.0001 | ETA 20:33:04 2020-12-15 15:07:00 [INFO] [TRAIN] epoch=51, iter=18880/80000, loss=0.2733, lr=0.007849, batch_cost=1.1736, reader_cost=0.0014 | ETA 19:55:33 2020-12-15 15:07:11 [INFO] [TRAIN] epoch=51, iter=18890/80000, loss=0.2488, lr=0.007847, batch_cost=1.1272, reader_cost=0.0067 | ETA 19:08:04 2020-12-15 15:07:23 [INFO] [TRAIN] epoch=51, iter=18900/80000, loss=0.2370, lr=0.007846, batch_cost=1.1977, reader_cost=0.0033 | ETA 20:19:40 2020-12-15 15:07:34 [INFO] [TRAIN] epoch=51, iter=18910/80000, loss=0.3134, lr=0.007845, batch_cost=1.1387, reader_cost=0.0012 | ETA 19:19:23 2020-12-15 15:07:45 [INFO] [TRAIN] epoch=51, iter=18920/80000, loss=0.1638, lr=0.007844, batch_cost=1.0722, reader_cost=0.0005 | ETA 18:11:29 2020-12-15 15:07:57 [INFO] [TRAIN] epoch=51, iter=18930/80000, loss=0.2288, lr=0.007843, batch_cost=1.2185, reader_cost=0.0005 | ETA 20:40:13 2020-12-15 15:08:08 [INFO] [TRAIN] epoch=51, iter=18940/80000, loss=0.2069, lr=0.007842, batch_cost=1.0649, reader_cost=0.0013 | ETA 18:03:41 2020-12-15 15:08:19 [INFO] [TRAIN] epoch=51, iter=18950/80000, loss=0.1549, lr=0.007840, batch_cost=1.1609, reader_cost=0.0019 | ETA 19:41:14 2020-12-15 15:08:32 [INFO] [TRAIN] epoch=51, iter=18960/80000, loss=0.2336, lr=0.007839, batch_cost=1.2563, reader_cost=0.0001 | ETA 21:18:01 2020-12-15 15:08:43 [INFO] [TRAIN] epoch=51, iter=18970/80000, loss=0.2561, lr=0.007838, batch_cost=1.0893, reader_cost=0.0001 | ETA 18:28:00 2020-12-15 15:08:57 [INFO] [TRAIN] epoch=52, iter=18980/80000, loss=0.2231, lr=0.007837, batch_cost=1.4390, reader_cost=0.0849 | ETA 24:23:26 2020-12-15 15:09:09 [INFO] [TRAIN] epoch=52, iter=18990/80000, loss=0.1687, lr=0.007836, batch_cost=1.1799, reader_cost=0.0008 | ETA 19:59:44 2020-12-15 15:09:22 [INFO] [TRAIN] epoch=52, iter=19000/80000, loss=0.2771, lr=0.007835, batch_cost=1.3256, reader_cost=0.0004 | ETA 22:27:43 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 15:09:22 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 15:10:13 [INFO] [EVAL] #Images=500 mIoU=0.7008 Acc=0.9500 Kappa=0.9349 2020-12-15 15:10:13 [INFO] [EVAL] Class IoU: [0.9767 0.8261 0.9013 0.468 0.4532 0.5562 0.654 0.73 0.9127 0.6105 0.9112 0.7845 0.5724 0.9337 0.5345 0.6684 0.6465 0.449 0.7268] 2020-12-15 15:10:13 [INFO] [EVAL] Class Acc: [0.9865 0.9064 0.9335 0.7258 0.8497 0.7818 0.7553 0.8506 0.9502 0.8462 0.9307 0.8779 0.7652 0.9604 0.8761 0.9354 0.8866 0.7223 0.8814] 2020-12-15 15:10:20 [INFO] [EVAL] The model with the best validation mIoU (0.7423) was saved at iter 18000. 2020-12-15 15:10:31 [INFO] [TRAIN] epoch=52, iter=19010/80000, loss=0.1677, lr=0.007834, batch_cost=1.0867, reader_cost=0.0024 | ETA 18:24:38 2020-12-15 15:10:40 [INFO] [TRAIN] epoch=52, iter=19020/80000, loss=0.1699, lr=0.007832, batch_cost=0.8729, reader_cost=0.0001 | ETA 14:47:10 2020-12-15 15:10:52 [INFO] [TRAIN] epoch=52, iter=19030/80000, loss=0.1956, lr=0.007831, batch_cost=1.2368, reader_cost=0.0001 | ETA 20:56:45 2020-12-15 15:11:04 [INFO] [TRAIN] epoch=52, iter=19040/80000, loss=0.1574, lr=0.007830, batch_cost=1.2521, reader_cost=0.0027 | ETA 21:12:05 2020-12-15 15:11:15 [INFO] [TRAIN] epoch=52, iter=19050/80000, loss=0.2564, lr=0.007829, batch_cost=1.1030, reader_cost=0.0013 | ETA 18:40:29 2020-12-15 15:11:27 [INFO] [TRAIN] epoch=52, iter=19060/80000, loss=0.1977, lr=0.007828, batch_cost=1.1951, reader_cost=0.0001 | ETA 20:13:49 2020-12-15 15:11:40 [INFO] [TRAIN] epoch=52, iter=19070/80000, loss=0.2574, lr=0.007827, batch_cost=1.2727, reader_cost=0.0023 | ETA 21:32:25 2020-12-15 15:11:53 [INFO] [TRAIN] epoch=52, iter=19080/80000, loss=0.2781, lr=0.007825, batch_cost=1.2502, reader_cost=0.0007 | ETA 21:09:23 2020-12-15 15:12:06 [INFO] [TRAIN] epoch=52, iter=19090/80000, loss=0.2550, lr=0.007824, batch_cost=1.3422, reader_cost=0.0017 | ETA 22:42:32 2020-12-15 15:12:20 [INFO] [TRAIN] epoch=52, iter=19100/80000, loss=0.2130, lr=0.007823, batch_cost=1.3680, reader_cost=0.0020 | ETA 23:08:28 2020-12-15 15:12:31 [INFO] [TRAIN] epoch=52, iter=19110/80000, loss=0.6162, lr=0.007822, batch_cost=1.1576, reader_cost=0.0005 | ETA 19:34:44 2020-12-15 15:12:44 [INFO] [TRAIN] epoch=52, iter=19120/80000, loss=0.2574, lr=0.007821, batch_cost=1.2942, reader_cost=0.0041 | ETA 21:53:13 2020-12-15 15:12:57 [INFO] [TRAIN] epoch=52, iter=19130/80000, loss=0.2658, lr=0.007820, batch_cost=1.2291, reader_cost=0.0029 | ETA 20:46:52 2020-12-15 15:13:09 [INFO] [TRAIN] epoch=52, iter=19140/80000, loss=0.2418, lr=0.007819, batch_cost=1.2572, reader_cost=0.0001 | ETA 21:15:10 2020-12-15 15:13:21 [INFO] [TRAIN] epoch=52, iter=19150/80000, loss=0.2137, lr=0.007817, batch_cost=1.1718, reader_cost=0.0010 | ETA 19:48:24 2020-12-15 15:13:32 [INFO] [TRAIN] epoch=52, iter=19160/80000, loss=0.2188, lr=0.007816, batch_cost=1.1346, reader_cost=0.0035 | ETA 19:10:30 2020-12-15 15:13:45 [INFO] [TRAIN] epoch=52, iter=19170/80000, loss=0.2413, lr=0.007815, batch_cost=1.2614, reader_cost=0.0006 | ETA 21:18:53 2020-12-15 15:13:57 [INFO] [TRAIN] epoch=52, iter=19180/80000, loss=0.1889, lr=0.007814, batch_cost=1.1763, reader_cost=0.0001 | ETA 19:52:22 2020-12-15 15:14:09 [INFO] [TRAIN] epoch=52, iter=19190/80000, loss=0.1470, lr=0.007813, batch_cost=1.2516, reader_cost=0.0004 | ETA 21:08:31 2020-12-15 15:14:22 [INFO] [TRAIN] epoch=52, iter=19200/80000, loss=0.1603, lr=0.007812, batch_cost=1.2775, reader_cost=0.0021 | ETA 21:34:31 2020-12-15 15:14:34 [INFO] [TRAIN] epoch=52, iter=19210/80000, loss=0.1990, lr=0.007810, batch_cost=1.2572, reader_cost=0.0002 | ETA 21:13:46 2020-12-15 15:14:48 [INFO] [TRAIN] epoch=52, iter=19220/80000, loss=0.2623, lr=0.007809, batch_cost=1.3558, reader_cost=0.0011 | ETA 22:53:24 2020-12-15 15:14:58 [INFO] [TRAIN] epoch=52, iter=19230/80000, loss=0.1981, lr=0.007808, batch_cost=1.0401, reader_cost=0.0001 | ETA 17:33:29 2020-12-15 15:15:07 [INFO] [TRAIN] epoch=52, iter=19240/80000, loss=0.1923, lr=0.007807, batch_cost=0.8139, reader_cost=0.0001 | ETA 13:44:11 2020-12-15 15:15:18 [INFO] [TRAIN] epoch=52, iter=19250/80000, loss=0.1879, lr=0.007806, batch_cost=1.1840, reader_cost=0.0018 | ETA 19:58:45 2020-12-15 15:15:32 [INFO] [TRAIN] epoch=52, iter=19260/80000, loss=0.2227, lr=0.007805, batch_cost=1.3447, reader_cost=0.0029 | ETA 22:41:15 2020-12-15 15:15:45 [INFO] [TRAIN] epoch=52, iter=19270/80000, loss=0.2294, lr=0.007803, batch_cost=1.3151, reader_cost=0.0032 | ETA 22:11:03 2020-12-15 15:15:58 [INFO] [TRAIN] epoch=52, iter=19280/80000, loss=0.2155, lr=0.007802, batch_cost=1.3413, reader_cost=0.0016 | ETA 22:37:24 2020-12-15 15:16:10 [INFO] [TRAIN] epoch=52, iter=19290/80000, loss=0.1710, lr=0.007801, batch_cost=1.1919, reader_cost=0.0015 | ETA 20:05:58 2020-12-15 15:16:23 [INFO] [TRAIN] epoch=52, iter=19300/80000, loss=0.1413, lr=0.007800, batch_cost=1.2608, reader_cost=0.0002 | ETA 21:15:28 2020-12-15 15:16:35 [INFO] [TRAIN] epoch=52, iter=19310/80000, loss=0.1843, lr=0.007799, batch_cost=1.2572, reader_cost=0.0001 | ETA 21:11:38 2020-12-15 15:16:48 [INFO] [TRAIN] epoch=52, iter=19320/80000, loss=0.2455, lr=0.007798, batch_cost=1.2368, reader_cost=0.0006 | ETA 20:50:47 2020-12-15 15:17:02 [INFO] [TRAIN] epoch=52, iter=19330/80000, loss=0.2584, lr=0.007797, batch_cost=1.3700, reader_cost=0.0035 | ETA 23:05:16 2020-12-15 15:17:13 [INFO] [TRAIN] epoch=52, iter=19340/80000, loss=0.2683, lr=0.007795, batch_cost=1.1922, reader_cost=0.0016 | ETA 20:05:18 2020-12-15 15:17:26 [INFO] [TRAIN] epoch=53, iter=19350/80000, loss=0.2216, lr=0.007794, batch_cost=1.2200, reader_cost=0.0519 | ETA 20:33:15 2020-12-15 15:17:38 [INFO] [TRAIN] epoch=53, iter=19360/80000, loss=0.1440, lr=0.007793, batch_cost=1.2176, reader_cost=0.0011 | ETA 20:30:35 2020-12-15 15:17:50 [INFO] [TRAIN] epoch=53, iter=19370/80000, loss=0.2096, lr=0.007792, batch_cost=1.2136, reader_cost=0.0007 | ETA 20:26:19 2020-12-15 15:18:02 [INFO] [TRAIN] epoch=53, iter=19380/80000, loss=0.1894, lr=0.007791, batch_cost=1.1848, reader_cost=0.0005 | ETA 19:57:01 2020-12-15 15:18:14 [INFO] [TRAIN] epoch=53, iter=19390/80000, loss=0.2539, lr=0.007790, batch_cost=1.2515, reader_cost=0.0017 | ETA 21:04:10 2020-12-15 15:18:27 [INFO] [TRAIN] epoch=53, iter=19400/80000, loss=0.1570, lr=0.007788, batch_cost=1.2374, reader_cost=0.0026 | ETA 20:49:44 2020-12-15 15:18:39 [INFO] [TRAIN] epoch=53, iter=19410/80000, loss=0.2092, lr=0.007787, batch_cost=1.2090, reader_cost=0.0001 | ETA 20:20:55 2020-12-15 15:18:51 [INFO] [TRAIN] epoch=53, iter=19420/80000, loss=0.2477, lr=0.007786, batch_cost=1.1686, reader_cost=0.0001 | ETA 19:39:55 2020-12-15 15:19:03 [INFO] [TRAIN] epoch=53, iter=19430/80000, loss=0.4130, lr=0.007785, batch_cost=1.2234, reader_cost=0.0001 | ETA 20:35:00 2020-12-15 15:19:15 [INFO] [TRAIN] epoch=53, iter=19440/80000, loss=0.3061, lr=0.007784, batch_cost=1.2654, reader_cost=0.0002 | ETA 21:17:14 2020-12-15 15:19:27 [INFO] [TRAIN] epoch=53, iter=19450/80000, loss=0.2853, lr=0.007783, batch_cost=1.1712, reader_cost=0.0012 | ETA 19:41:53 2020-12-15 15:19:35 [INFO] [TRAIN] epoch=53, iter=19460/80000, loss=0.1601, lr=0.007782, batch_cost=0.8134, reader_cost=0.0001 | ETA 13:40:43 2020-12-15 15:19:46 [INFO] [TRAIN] epoch=53, iter=19470/80000, loss=0.1350, lr=0.007780, batch_cost=1.1123, reader_cost=0.0018 | ETA 18:42:09 2020-12-15 15:19:55 [INFO] [TRAIN] epoch=53, iter=19480/80000, loss=0.1738, lr=0.007779, batch_cost=0.8182, reader_cost=0.0004 | ETA 13:45:17 2020-12-15 15:20:03 [INFO] [TRAIN] epoch=53, iter=19490/80000, loss=0.1536, lr=0.007778, batch_cost=0.8046, reader_cost=0.0001 | ETA 13:31:26 2020-12-15 15:20:11 [INFO] [TRAIN] epoch=53, iter=19500/80000, loss=0.2546, lr=0.007777, batch_cost=0.8096, reader_cost=0.0001 | ETA 13:36:23 2020-12-15 15:20:19 [INFO] [TRAIN] epoch=53, iter=19510/80000, loss=0.1745, lr=0.007776, batch_cost=0.8035, reader_cost=0.0001 | ETA 13:30:04 2020-12-15 15:20:29 [INFO] [TRAIN] epoch=53, iter=19520/80000, loss=0.2186, lr=0.007775, batch_cost=1.0677, reader_cost=0.0031 | ETA 17:56:16 2020-12-15 15:20:42 [INFO] [TRAIN] epoch=53, iter=19530/80000, loss=0.1310, lr=0.007773, batch_cost=1.2995, reader_cost=0.0006 | ETA 21:49:42 2020-12-15 15:20:55 [INFO] [TRAIN] epoch=53, iter=19540/80000, loss=0.2501, lr=0.007772, batch_cost=1.2582, reader_cost=0.0010 | ETA 21:07:52 2020-12-15 15:21:06 [INFO] [TRAIN] epoch=53, iter=19550/80000, loss=0.2037, lr=0.007771, batch_cost=1.1290, reader_cost=0.0053 | ETA 18:57:26 2020-12-15 15:21:19 [INFO] [TRAIN] epoch=53, iter=19560/80000, loss=0.1631, lr=0.007770, batch_cost=1.2595, reader_cost=0.0034 | ETA 21:08:43 2020-12-15 15:21:31 [INFO] [TRAIN] epoch=53, iter=19570/80000, loss=0.2334, lr=0.007769, batch_cost=1.2232, reader_cost=0.0004 | ETA 20:31:56 2020-12-15 15:21:43 [INFO] [TRAIN] epoch=53, iter=19580/80000, loss=0.2877, lr=0.007768, batch_cost=1.2339, reader_cost=0.0025 | ETA 20:42:32 2020-12-15 15:21:56 [INFO] [TRAIN] epoch=53, iter=19590/80000, loss=0.2178, lr=0.007766, batch_cost=1.2208, reader_cost=0.0001 | ETA 20:29:06 2020-12-15 15:22:09 [INFO] [TRAIN] epoch=53, iter=19600/80000, loss=0.2448, lr=0.007765, batch_cost=1.2832, reader_cost=0.0001 | ETA 21:31:46 2020-12-15 15:22:20 [INFO] [TRAIN] epoch=53, iter=19610/80000, loss=0.1739, lr=0.007764, batch_cost=1.1118, reader_cost=0.0014 | ETA 18:39:01 2020-12-15 15:22:32 [INFO] [TRAIN] epoch=53, iter=19620/80000, loss=0.1940, lr=0.007763, batch_cost=1.2343, reader_cost=0.0001 | ETA 20:42:08 2020-12-15 15:22:44 [INFO] [TRAIN] epoch=53, iter=19630/80000, loss=0.2226, lr=0.007762, batch_cost=1.1716, reader_cost=0.0001 | ETA 19:38:47 2020-12-15 15:22:56 [INFO] [TRAIN] epoch=53, iter=19640/80000, loss=0.2207, lr=0.007761, batch_cost=1.2784, reader_cost=0.0003 | ETA 21:26:03 2020-12-15 15:23:09 [INFO] [TRAIN] epoch=53, iter=19650/80000, loss=0.2228, lr=0.007760, batch_cost=1.2821, reader_cost=0.0007 | ETA 21:29:36 2020-12-15 15:23:21 [INFO] [TRAIN] epoch=53, iter=19660/80000, loss=0.2659, lr=0.007758, batch_cost=1.1603, reader_cost=0.0007 | ETA 19:26:53 2020-12-15 15:23:33 [INFO] [TRAIN] epoch=53, iter=19670/80000, loss=0.3121, lr=0.007757, batch_cost=1.2438, reader_cost=0.0016 | ETA 20:50:39 2020-12-15 15:23:46 [INFO] [TRAIN] epoch=53, iter=19680/80000, loss=0.2918, lr=0.007756, batch_cost=1.2482, reader_cost=0.0005 | ETA 20:54:49 2020-12-15 15:23:58 [INFO] [TRAIN] epoch=53, iter=19690/80000, loss=0.3189, lr=0.007755, batch_cost=1.2341, reader_cost=0.0010 | ETA 20:40:27 2020-12-15 15:24:11 [INFO] [TRAIN] epoch=53, iter=19700/80000, loss=0.2580, lr=0.007754, batch_cost=1.2837, reader_cost=0.0018 | ETA 21:30:07 2020-12-15 15:24:22 [INFO] [TRAIN] epoch=53, iter=19710/80000, loss=0.3211, lr=0.007753, batch_cost=1.1386, reader_cost=0.0001 | ETA 19:04:04 2020-12-15 15:24:32 [INFO] [TRAIN] epoch=54, iter=19720/80000, loss=0.1976, lr=0.007751, batch_cost=0.9422, reader_cost=0.0592 | ETA 15:46:38 2020-12-15 15:24:42 [INFO] [TRAIN] epoch=54, iter=19730/80000, loss=0.2311, lr=0.007750, batch_cost=0.9830, reader_cost=0.0001 | ETA 16:27:26 2020-12-15 15:24:55 [INFO] [TRAIN] epoch=54, iter=19740/80000, loss=0.2740, lr=0.007749, batch_cost=1.3012, reader_cost=0.0001 | ETA 21:46:47 2020-12-15 15:25:06 [INFO] [TRAIN] epoch=54, iter=19750/80000, loss=0.2224, lr=0.007748, batch_cost=1.1722, reader_cost=0.0001 | ETA 19:37:06 2020-12-15 15:25:19 [INFO] [TRAIN] epoch=54, iter=19760/80000, loss=0.2108, lr=0.007747, batch_cost=1.2199, reader_cost=0.0001 | ETA 20:24:43 2020-12-15 15:25:31 [INFO] [TRAIN] epoch=54, iter=19770/80000, loss=0.2838, lr=0.007746, batch_cost=1.2598, reader_cost=0.0004 | ETA 21:04:40 2020-12-15 15:25:44 [INFO] [TRAIN] epoch=54, iter=19780/80000, loss=0.3204, lr=0.007744, batch_cost=1.2439, reader_cost=0.0035 | ETA 20:48:30 2020-12-15 15:25:56 [INFO] [TRAIN] epoch=54, iter=19790/80000, loss=0.2307, lr=0.007743, batch_cost=1.2439, reader_cost=0.0001 | ETA 20:48:12 2020-12-15 15:26:09 [INFO] [TRAIN] epoch=54, iter=19800/80000, loss=0.2316, lr=0.007742, batch_cost=1.3039, reader_cost=0.0046 | ETA 21:48:13 2020-12-15 15:26:21 [INFO] [TRAIN] epoch=54, iter=19810/80000, loss=0.2470, lr=0.007741, batch_cost=1.1883, reader_cost=0.0002 | ETA 19:52:05 2020-12-15 15:26:33 [INFO] [TRAIN] epoch=54, iter=19820/80000, loss=0.2777, lr=0.007740, batch_cost=1.1984, reader_cost=0.0005 | ETA 20:01:58 2020-12-15 15:26:46 [INFO] [TRAIN] epoch=54, iter=19830/80000, loss=0.2141, lr=0.007739, batch_cost=1.2926, reader_cost=0.0001 | ETA 21:36:17 2020-12-15 15:26:59 [INFO] [TRAIN] epoch=54, iter=19840/80000, loss=0.2599, lr=0.007738, batch_cost=1.3066, reader_cost=0.0001 | ETA 21:50:07 2020-12-15 15:27:12 [INFO] [TRAIN] epoch=54, iter=19850/80000, loss=0.1913, lr=0.007736, batch_cost=1.2770, reader_cost=0.0014 | ETA 21:20:13 2020-12-15 15:27:23 [INFO] [TRAIN] epoch=54, iter=19860/80000, loss=0.2727, lr=0.007735, batch_cost=1.1666, reader_cost=0.0004 | ETA 19:29:20 2020-12-15 15:27:36 [INFO] [TRAIN] epoch=54, iter=19870/80000, loss=0.1846, lr=0.007734, batch_cost=1.2740, reader_cost=0.0005 | ETA 21:16:47 2020-12-15 15:27:48 [INFO] [TRAIN] epoch=54, iter=19880/80000, loss=0.2554, lr=0.007733, batch_cost=1.1710, reader_cost=0.0005 | ETA 19:33:20 2020-12-15 15:28:00 [INFO] [TRAIN] epoch=54, iter=19890/80000, loss=0.2066, lr=0.007732, batch_cost=1.2456, reader_cost=0.0002 | ETA 20:47:50 2020-12-15 15:28:12 [INFO] [TRAIN] epoch=54, iter=19900/80000, loss=0.2255, lr=0.007731, batch_cost=1.2094, reader_cost=0.0012 | ETA 20:11:22 2020-12-15 15:28:24 [INFO] [TRAIN] epoch=54, iter=19910/80000, loss=0.2726, lr=0.007729, batch_cost=1.1912, reader_cost=0.0001 | ETA 19:52:57 2020-12-15 15:28:35 [INFO] [TRAIN] epoch=54, iter=19920/80000, loss=0.2379, lr=0.007728, batch_cost=1.1025, reader_cost=0.0015 | ETA 18:23:56 2020-12-15 15:28:48 [INFO] [TRAIN] epoch=54, iter=19930/80000, loss=0.2707, lr=0.007727, batch_cost=1.2967, reader_cost=0.0009 | ETA 21:38:11 2020-12-15 15:29:00 [INFO] [TRAIN] epoch=54, iter=19940/80000, loss=0.2078, lr=0.007726, batch_cost=1.1571, reader_cost=0.0024 | ETA 19:18:16 2020-12-15 15:29:08 [INFO] [TRAIN] epoch=54, iter=19950/80000, loss=0.1806, lr=0.007725, batch_cost=0.7839, reader_cost=0.0001 | ETA 13:04:34 2020-12-15 15:29:19 [INFO] [TRAIN] epoch=54, iter=19960/80000, loss=0.2210, lr=0.007724, batch_cost=1.0918, reader_cost=0.0004 | ETA 18:12:34 2020-12-15 15:29:31 [INFO] [TRAIN] epoch=54, iter=19970/80000, loss=0.1755, lr=0.007722, batch_cost=1.2283, reader_cost=0.0001 | ETA 20:28:53 2020-12-15 15:29:43 [INFO] [TRAIN] epoch=54, iter=19980/80000, loss=0.2643, lr=0.007721, batch_cost=1.2399, reader_cost=0.0029 | ETA 20:40:20 2020-12-15 15:29:56 [INFO] [TRAIN] epoch=54, iter=19990/80000, loss=0.2198, lr=0.007720, batch_cost=1.2921, reader_cost=0.0005 | ETA 21:32:18 2020-12-15 15:30:09 [INFO] [TRAIN] epoch=54, iter=20000/80000, loss=0.2052, lr=0.007719, batch_cost=1.2840, reader_cost=0.0001 | ETA 21:24:01 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 15:30:09 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 15:31:00 [INFO] [EVAL] #Images=500 mIoU=0.7358 Acc=0.9535 Kappa=0.9395 2020-12-15 15:31:00 [INFO] [EVAL] Class IoU: [0.9778 0.8246 0.9111 0.4916 0.5529 0.5476 0.6602 0.7204 0.9175 0.613 0.9325 0.7786 0.516 0.9377 0.7278 0.839 0.722 0.5696 0.7405] 2020-12-15 15:31:00 [INFO] [EVAL] Class Acc: [0.9884 0.907 0.9416 0.8048 0.7463 0.7908 0.8086 0.9314 0.9516 0.8206 0.9712 0.8404 0.815 0.9576 0.9287 0.9338 0.9276 0.8079 0.8357] 2020-12-15 15:31:06 [INFO] [EVAL] The model with the best validation mIoU (0.7423) was saved at iter 18000. 2020-12-15 15:31:19 [INFO] [TRAIN] epoch=54, iter=20010/80000, loss=0.2419, lr=0.007718, batch_cost=1.2551, reader_cost=0.0001 | ETA 20:54:53 2020-12-15 15:31:31 [INFO] [TRAIN] epoch=54, iter=20020/80000, loss=0.2266, lr=0.007717, batch_cost=1.1982, reader_cost=0.0014 | ETA 19:57:47 2020-12-15 15:31:42 [INFO] [TRAIN] epoch=54, iter=20030/80000, loss=0.3153, lr=0.007716, batch_cost=1.1223, reader_cost=0.0011 | ETA 18:41:45 2020-12-15 15:31:54 [INFO] [TRAIN] epoch=54, iter=20040/80000, loss=0.2908, lr=0.007714, batch_cost=1.1545, reader_cost=0.0001 | ETA 19:13:42 2020-12-15 15:32:06 [INFO] [TRAIN] epoch=54, iter=20050/80000, loss=0.2052, lr=0.007713, batch_cost=1.2820, reader_cost=0.0001 | ETA 21:20:57 2020-12-15 15:32:19 [INFO] [TRAIN] epoch=54, iter=20060/80000, loss=0.2291, lr=0.007712, batch_cost=1.2775, reader_cost=0.0025 | ETA 21:16:16 2020-12-15 15:32:31 [INFO] [TRAIN] epoch=54, iter=20070/80000, loss=0.1719, lr=0.007711, batch_cost=1.1390, reader_cost=0.0004 | ETA 18:57:38 2020-12-15 15:32:43 [INFO] [TRAIN] epoch=54, iter=20080/80000, loss=0.2016, lr=0.007710, batch_cost=1.2572, reader_cost=0.0014 | ETA 20:55:29 2020-12-15 15:32:55 [INFO] [TRAIN] epoch=55, iter=20090/80000, loss=0.2198, lr=0.007709, batch_cost=1.1589, reader_cost=0.0603 | ETA 19:17:10 2020-12-15 15:33:07 [INFO] [TRAIN] epoch=55, iter=20100/80000, loss=0.2320, lr=0.007707, batch_cost=1.1886, reader_cost=0.0052 | ETA 19:46:34 2020-12-15 15:33:19 [INFO] [TRAIN] epoch=55, iter=20110/80000, loss=0.2318, lr=0.007706, batch_cost=1.2695, reader_cost=0.0001 | ETA 21:07:08 2020-12-15 15:33:31 [INFO] [TRAIN] epoch=55, iter=20120/80000, loss=0.1616, lr=0.007705, batch_cost=1.1201, reader_cost=0.0004 | ETA 18:37:53 2020-12-15 15:33:39 [INFO] [TRAIN] epoch=55, iter=20130/80000, loss=0.2192, lr=0.007704, batch_cost=0.8490, reader_cost=0.0001 | ETA 14:07:11 2020-12-15 15:33:51 [INFO] [TRAIN] epoch=55, iter=20140/80000, loss=0.3020, lr=0.007703, batch_cost=1.2036, reader_cost=0.0005 | ETA 20:00:45 2020-12-15 15:34:03 [INFO] [TRAIN] epoch=55, iter=20150/80000, loss=0.1996, lr=0.007702, batch_cost=1.2267, reader_cost=0.0001 | ETA 20:23:36 2020-12-15 15:34:15 [INFO] [TRAIN] epoch=55, iter=20160/80000, loss=0.1219, lr=0.007700, batch_cost=1.1252, reader_cost=0.0009 | ETA 18:42:09 2020-12-15 15:34:27 [INFO] [TRAIN] epoch=55, iter=20170/80000, loss=0.2883, lr=0.007699, batch_cost=1.1983, reader_cost=0.0004 | ETA 19:54:55 2020-12-15 15:34:39 [INFO] [TRAIN] epoch=55, iter=20180/80000, loss=0.1919, lr=0.007698, batch_cost=1.2161, reader_cost=0.0001 | ETA 20:12:27 2020-12-15 15:34:50 [INFO] [TRAIN] epoch=55, iter=20190/80000, loss=0.1619, lr=0.007697, batch_cost=1.1268, reader_cost=0.0001 | ETA 18:43:11 2020-12-15 15:35:02 [INFO] [TRAIN] epoch=55, iter=20200/80000, loss=0.1764, lr=0.007696, batch_cost=1.2259, reader_cost=0.0015 | ETA 20:21:47 2020-12-15 15:35:15 [INFO] [TRAIN] epoch=55, iter=20210/80000, loss=0.1545, lr=0.007695, batch_cost=1.2911, reader_cost=0.0001 | ETA 21:26:36 2020-12-15 15:35:27 [INFO] [TRAIN] epoch=55, iter=20220/80000, loss=0.1676, lr=0.007694, batch_cost=1.1579, reader_cost=0.0004 | ETA 19:13:40 2020-12-15 15:35:40 [INFO] [TRAIN] epoch=55, iter=20230/80000, loss=0.2049, lr=0.007692, batch_cost=1.3402, reader_cost=0.0006 | ETA 22:15:05 2020-12-15 15:35:53 [INFO] [TRAIN] epoch=55, iter=20240/80000, loss=0.2114, lr=0.007691, batch_cost=1.2676, reader_cost=0.0022 | ETA 21:02:31 2020-12-15 15:36:05 [INFO] [TRAIN] epoch=55, iter=20250/80000, loss=0.1787, lr=0.007690, batch_cost=1.2140, reader_cost=0.0023 | ETA 20:08:53 2020-12-15 15:36:17 [INFO] [TRAIN] epoch=55, iter=20260/80000, loss=0.2749, lr=0.007689, batch_cost=1.2420, reader_cost=0.0010 | ETA 20:36:39 2020-12-15 15:36:30 [INFO] [TRAIN] epoch=55, iter=20270/80000, loss=0.1842, lr=0.007688, batch_cost=1.2776, reader_cost=0.0040 | ETA 21:11:52 2020-12-15 15:36:43 [INFO] [TRAIN] epoch=55, iter=20280/80000, loss=0.1564, lr=0.007687, batch_cost=1.3222, reader_cost=0.0023 | ETA 21:56:04 2020-12-15 15:36:55 [INFO] [TRAIN] epoch=55, iter=20290/80000, loss=0.2553, lr=0.007685, batch_cost=1.1734, reader_cost=0.0001 | ETA 19:27:44 2020-12-15 15:37:08 [INFO] [TRAIN] epoch=55, iter=20300/80000, loss=0.5164, lr=0.007684, batch_cost=1.2765, reader_cost=0.0002 | ETA 21:10:09 2020-12-15 15:37:20 [INFO] [TRAIN] epoch=55, iter=20310/80000, loss=0.2109, lr=0.007683, batch_cost=1.2563, reader_cost=0.0003 | ETA 20:49:50 2020-12-15 15:37:33 [INFO] [TRAIN] epoch=55, iter=20320/80000, loss=0.2714, lr=0.007682, batch_cost=1.2475, reader_cost=0.0001 | ETA 20:40:48 2020-12-15 15:37:46 [INFO] [TRAIN] epoch=55, iter=20330/80000, loss=0.1961, lr=0.007681, batch_cost=1.2938, reader_cost=0.0001 | ETA 21:26:39 2020-12-15 15:37:58 [INFO] [TRAIN] epoch=55, iter=20340/80000, loss=0.2538, lr=0.007680, batch_cost=1.2596, reader_cost=0.0013 | ETA 20:52:29 2020-12-15 15:38:07 [INFO] [TRAIN] epoch=55, iter=20350/80000, loss=0.1976, lr=0.007678, batch_cost=0.8165, reader_cost=0.0001 | ETA 13:31:46 2020-12-15 15:38:18 [INFO] [TRAIN] epoch=55, iter=20360/80000, loss=0.2123, lr=0.007677, batch_cost=1.1778, reader_cost=0.0008 | ETA 19:30:41 2020-12-15 15:38:32 [INFO] [TRAIN] epoch=55, iter=20370/80000, loss=0.2798, lr=0.007676, batch_cost=1.3123, reader_cost=0.0001 | ETA 21:44:11 2020-12-15 15:38:44 [INFO] [TRAIN] epoch=55, iter=20380/80000, loss=0.2911, lr=0.007675, batch_cost=1.2537, reader_cost=0.0013 | ETA 20:45:47 2020-12-15 15:38:56 [INFO] [TRAIN] epoch=55, iter=20390/80000, loss=0.2127, lr=0.007674, batch_cost=1.2385, reader_cost=0.0042 | ETA 20:30:25 2020-12-15 15:39:09 [INFO] [TRAIN] epoch=55, iter=20400/80000, loss=0.2027, lr=0.007673, batch_cost=1.2994, reader_cost=0.0005 | ETA 21:30:45 2020-12-15 15:39:22 [INFO] [TRAIN] epoch=55, iter=20410/80000, loss=0.3284, lr=0.007672, batch_cost=1.2429, reader_cost=0.0009 | ETA 20:34:22 2020-12-15 15:39:34 [INFO] [TRAIN] epoch=55, iter=20420/80000, loss=0.2283, lr=0.007670, batch_cost=1.1786, reader_cost=0.0005 | ETA 19:30:21 2020-12-15 15:39:45 [INFO] [TRAIN] epoch=55, iter=20430/80000, loss=0.1861, lr=0.007669, batch_cost=1.1332, reader_cost=0.0007 | ETA 18:45:05 2020-12-15 15:39:57 [INFO] [TRAIN] epoch=55, iter=20440/80000, loss=0.2921, lr=0.007668, batch_cost=1.2367, reader_cost=0.0038 | ETA 20:27:37 2020-12-15 15:40:10 [INFO] [TRAIN] epoch=55, iter=20450/80000, loss=0.2524, lr=0.007667, batch_cost=1.2867, reader_cost=0.0001 | ETA 21:17:00 2020-12-15 15:40:21 [INFO] [TRAIN] epoch=55, iter=20460/80000, loss=0.1895, lr=0.007666, batch_cost=1.0374, reader_cost=0.0011 | ETA 17:09:24 2020-12-15 15:40:35 [INFO] [TRAIN] epoch=56, iter=20470/80000, loss=0.1487, lr=0.007665, batch_cost=1.4264, reader_cost=0.0631 | ETA 23:35:13 2020-12-15 15:40:48 [INFO] [TRAIN] epoch=56, iter=20480/80000, loss=0.2407, lr=0.007663, batch_cost=1.3253, reader_cost=0.0026 | ETA 21:54:40 2020-12-15 15:41:01 [INFO] [TRAIN] epoch=56, iter=20490/80000, loss=0.1907, lr=0.007662, batch_cost=1.2421, reader_cost=0.0013 | ETA 20:31:58 2020-12-15 15:41:13 [INFO] [TRAIN] epoch=56, iter=20500/80000, loss=0.2182, lr=0.007661, batch_cost=1.2330, reader_cost=0.0006 | ETA 20:22:42 2020-12-15 15:41:25 [INFO] [TRAIN] epoch=56, iter=20510/80000, loss=0.1412, lr=0.007660, batch_cost=1.2281, reader_cost=0.0018 | ETA 20:17:38 2020-12-15 15:41:38 [INFO] [TRAIN] epoch=56, iter=20520/80000, loss=0.2252, lr=0.007659, batch_cost=1.2767, reader_cost=0.0021 | ETA 21:05:40 2020-12-15 15:41:49 [INFO] [TRAIN] epoch=56, iter=20530/80000, loss=0.2198, lr=0.007658, batch_cost=1.1092, reader_cost=0.0028 | ETA 18:19:24 2020-12-15 15:42:01 [INFO] [TRAIN] epoch=56, iter=20540/80000, loss=0.2008, lr=0.007656, batch_cost=1.1805, reader_cost=0.0029 | ETA 19:29:51 2020-12-15 15:42:13 [INFO] [TRAIN] epoch=56, iter=20550/80000, loss=0.2036, lr=0.007655, batch_cost=1.1835, reader_cost=0.0006 | ETA 19:32:38 2020-12-15 15:42:25 [INFO] [TRAIN] epoch=56, iter=20560/80000, loss=0.3222, lr=0.007654, batch_cost=1.2394, reader_cost=0.0024 | ETA 20:27:47 2020-12-15 15:42:34 [INFO] [TRAIN] epoch=56, iter=20570/80000, loss=0.1452, lr=0.007653, batch_cost=0.8606, reader_cost=0.0001 | ETA 14:12:25 2020-12-15 15:42:43 [INFO] [TRAIN] epoch=56, iter=20580/80000, loss=0.1892, lr=0.007652, batch_cost=0.9462, reader_cost=0.0015 | ETA 15:37:04 2020-12-15 15:42:54 [INFO] [TRAIN] epoch=56, iter=20590/80000, loss=0.2143, lr=0.007651, batch_cost=1.1136, reader_cost=0.0033 | ETA 18:22:39 2020-12-15 15:43:07 [INFO] [TRAIN] epoch=56, iter=20600/80000, loss=0.2717, lr=0.007650, batch_cost=1.3097, reader_cost=0.0001 | ETA 21:36:35 2020-12-15 15:43:18 [INFO] [TRAIN] epoch=56, iter=20610/80000, loss=0.2345, lr=0.007648, batch_cost=1.0529, reader_cost=0.0020 | ETA 17:22:14 2020-12-15 15:43:30 [INFO] [TRAIN] epoch=56, iter=20620/80000, loss=0.1333, lr=0.007647, batch_cost=1.2352, reader_cost=0.0022 | ETA 20:22:24 2020-12-15 15:43:42 [INFO] [TRAIN] epoch=56, iter=20630/80000, loss=0.1981, lr=0.007646, batch_cost=1.2130, reader_cost=0.0013 | ETA 20:00:16 2020-12-15 15:43:54 [INFO] [TRAIN] epoch=56, iter=20640/80000, loss=0.1935, lr=0.007645, batch_cost=1.1158, reader_cost=0.0018 | ETA 18:23:56 2020-12-15 15:44:06 [INFO] [TRAIN] epoch=56, iter=20650/80000, loss=0.1906, lr=0.007644, batch_cost=1.2506, reader_cost=0.0001 | ETA 20:37:04 2020-12-15 15:44:17 [INFO] [TRAIN] epoch=56, iter=20660/80000, loss=0.3148, lr=0.007643, batch_cost=1.1266, reader_cost=0.0018 | ETA 18:34:10 2020-12-15 15:44:29 [INFO] [TRAIN] epoch=56, iter=20670/80000, loss=0.1848, lr=0.007641, batch_cost=1.1359, reader_cost=0.0005 | ETA 18:43:15 2020-12-15 15:44:37 [INFO] [TRAIN] epoch=56, iter=20680/80000, loss=0.2572, lr=0.007640, batch_cost=0.8008, reader_cost=0.0001 | ETA 13:11:43 2020-12-15 15:44:45 [INFO] [TRAIN] epoch=56, iter=20690/80000, loss=0.1963, lr=0.007639, batch_cost=0.7915, reader_cost=0.0001 | ETA 13:02:22 2020-12-15 15:44:53 [INFO] [TRAIN] epoch=56, iter=20700/80000, loss=0.1619, lr=0.007638, batch_cost=0.8140, reader_cost=0.0001 | ETA 13:24:29 2020-12-15 15:45:01 [INFO] [TRAIN] epoch=56, iter=20710/80000, loss=0.1851, lr=0.007637, batch_cost=0.8313, reader_cost=0.0001 | ETA 13:41:24 2020-12-15 15:45:12 [INFO] [TRAIN] epoch=56, iter=20720/80000, loss=0.1660, lr=0.007636, batch_cost=1.0803, reader_cost=0.0001 | ETA 17:47:20 2020-12-15 15:45:24 [INFO] [TRAIN] epoch=56, iter=20730/80000, loss=0.2002, lr=0.007634, batch_cost=1.2159, reader_cost=0.0003 | ETA 20:01:05 2020-12-15 15:45:36 [INFO] [TRAIN] epoch=56, iter=20740/80000, loss=0.2384, lr=0.007633, batch_cost=1.1821, reader_cost=0.0021 | ETA 19:27:29 2020-12-15 15:45:48 [INFO] [TRAIN] epoch=56, iter=20750/80000, loss=0.2220, lr=0.007632, batch_cost=1.1806, reader_cost=0.0040 | ETA 19:25:52 2020-12-15 15:46:00 [INFO] [TRAIN] epoch=56, iter=20760/80000, loss=0.1916, lr=0.007631, batch_cost=1.2834, reader_cost=0.0001 | ETA 21:07:07 2020-12-15 15:46:13 [INFO] [TRAIN] epoch=56, iter=20770/80000, loss=0.2660, lr=0.007630, batch_cost=1.2093, reader_cost=0.0002 | ETA 19:53:46 2020-12-15 15:46:25 [INFO] [TRAIN] epoch=56, iter=20780/80000, loss=0.2745, lr=0.007629, batch_cost=1.2235, reader_cost=0.0001 | ETA 20:07:35 2020-12-15 15:46:36 [INFO] [TRAIN] epoch=56, iter=20790/80000, loss=0.1374, lr=0.007627, batch_cost=1.1567, reader_cost=0.0026 | ETA 19:01:26 2020-12-15 15:46:48 [INFO] [TRAIN] epoch=56, iter=20800/80000, loss=0.2096, lr=0.007626, batch_cost=1.1245, reader_cost=0.0001 | ETA 18:29:32 2020-12-15 15:47:00 [INFO] [TRAIN] epoch=56, iter=20810/80000, loss=0.1619, lr=0.007625, batch_cost=1.2419, reader_cost=0.0001 | ETA 20:25:06 2020-12-15 15:47:12 [INFO] [TRAIN] epoch=56, iter=20820/80000, loss=0.1780, lr=0.007624, batch_cost=1.2115, reader_cost=0.0022 | ETA 19:54:59 2020-12-15 15:47:23 [INFO] [TRAIN] epoch=56, iter=20830/80000, loss=0.2195, lr=0.007623, batch_cost=1.0614, reader_cost=0.0032 | ETA 17:26:41 2020-12-15 15:47:34 [INFO] [TRAIN] epoch=57, iter=20840/80000, loss=0.1988, lr=0.007622, batch_cost=1.1219, reader_cost=0.0555 | ETA 18:26:10 2020-12-15 15:47:43 [INFO] [TRAIN] epoch=57, iter=20850/80000, loss=0.1858, lr=0.007621, batch_cost=0.8598, reader_cost=0.0004 | ETA 14:07:39 2020-12-15 15:47:55 [INFO] [TRAIN] epoch=57, iter=20860/80000, loss=0.1880, lr=0.007619, batch_cost=1.2482, reader_cost=0.0001 | ETA 20:30:16 2020-12-15 15:48:07 [INFO] [TRAIN] epoch=57, iter=20870/80000, loss=0.1850, lr=0.007618, batch_cost=1.1832, reader_cost=0.0001 | ETA 19:26:05 2020-12-15 15:48:19 [INFO] [TRAIN] epoch=57, iter=20880/80000, loss=0.1703, lr=0.007617, batch_cost=1.1809, reader_cost=0.0004 | ETA 19:23:34 2020-12-15 15:48:29 [INFO] [TRAIN] epoch=57, iter=20890/80000, loss=0.2171, lr=0.007616, batch_cost=1.0631, reader_cost=0.0009 | ETA 17:27:21 2020-12-15 15:48:40 [INFO] [TRAIN] epoch=57, iter=20900/80000, loss=0.1586, lr=0.007615, batch_cost=1.0943, reader_cost=0.0013 | ETA 17:57:52 2020-12-15 15:48:50 [INFO] [TRAIN] epoch=57, iter=20910/80000, loss=0.4386, lr=0.007614, batch_cost=1.0187, reader_cost=0.0005 | ETA 16:43:13 2020-12-15 15:49:01 [INFO] [TRAIN] epoch=57, iter=20920/80000, loss=0.2042, lr=0.007612, batch_cost=1.0780, reader_cost=0.0019 | ETA 17:41:30 2020-12-15 15:49:13 [INFO] [TRAIN] epoch=57, iter=20930/80000, loss=0.1916, lr=0.007611, batch_cost=1.1917, reader_cost=0.0018 | ETA 19:33:15 2020-12-15 15:49:25 [INFO] [TRAIN] epoch=57, iter=20940/80000, loss=0.2132, lr=0.007610, batch_cost=1.1963, reader_cost=0.0008 | ETA 19:37:34 2020-12-15 15:49:37 [INFO] [TRAIN] epoch=57, iter=20950/80000, loss=0.2291, lr=0.007609, batch_cost=1.1942, reader_cost=0.0037 | ETA 19:35:16 2020-12-15 15:49:49 [INFO] [TRAIN] epoch=57, iter=20960/80000, loss=0.2385, lr=0.007608, batch_cost=1.1958, reader_cost=0.0005 | ETA 19:36:40 2020-12-15 15:50:01 [INFO] [TRAIN] epoch=57, iter=20970/80000, loss=0.2102, lr=0.007607, batch_cost=1.2239, reader_cost=0.0001 | ETA 20:04:05 2020-12-15 15:50:13 [INFO] [TRAIN] epoch=57, iter=20980/80000, loss=0.1715, lr=0.007605, batch_cost=1.1328, reader_cost=0.0001 | ETA 18:34:16 2020-12-15 15:50:25 [INFO] [TRAIN] epoch=57, iter=20990/80000, loss=0.1712, lr=0.007604, batch_cost=1.2066, reader_cost=0.0009 | ETA 19:46:39 2020-12-15 15:50:37 [INFO] [TRAIN] epoch=57, iter=21000/80000, loss=0.3130, lr=0.007603, batch_cost=1.2008, reader_cost=0.0020 | ETA 19:40:48 aug_eval False scales 1.0 2020-12-15 15:50:37 [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 2020-12-15 15:51:28 [INFO] [EVAL] #Images=500 mIoU=0.7558 Acc=0.9552 Kappa=0.9419 2020-12-15 15:51:28 [INFO] [EVAL] Class IoU: [0.9784 0.8244 0.9165 0.5746 0.5703 0.5525 0.673 0.7455 0.9186 0.6017 0.9411 0.7897 0.584 0.9425 0.7651 0.8434 0.7671 0.6174 0.7542] 2020-12-15 15:51:28 [INFO] [EVAL] Class Acc: [0.9888 0.9069 0.955 0.7031 0.6965 0.7914 0.816 0.9063 0.9492 0.8797 0.9665 0.8571 0.833 0.9679 0.9141 0.9221 0.9002 0.7932 0.8428] 2020-12-15 15:51:37 [INFO] [EVAL] The model with the best validation mIoU (0.7558) was saved at iter 21000. 2020-12-15 15:51:50 [INFO] [TRAIN] epoch=57, iter=21010/80000, loss=0.2510, lr=0.007602, batch_cost=1.2509, reader_cost=0.0005 | ETA 20:29:52 2020-12-15 15:52:02 [INFO] [TRAIN] epoch=57, iter=21020/80000, loss=0.2386, lr=0.007601, batch_cost=1.1809, reader_cost=0.0006 | ETA 19:20:51 2020-12-15 15:52:10 [INFO] [TRAIN] epoch=57, iter=21030/80000, loss=0.2703, lr=0.007600, batch_cost=0.8331, reader_cost=0.0001 | ETA 13:38:47 2020-12-15 15:52:22 [INFO] [TRAIN] epoch=57, iter=21040/80000, loss=0.1655, lr=0.007598, batch_cost=1.1941, reader_cost=0.0002 | ETA 19:33:25 2020-12-15 15:52:34 [INFO] [TRAIN] epoch=57, iter=21050/80000, loss=0.1869, lr=0.007597, batch_cost=1.1942, reader_cost=0.0006 | ETA 19:33:20 2020-12-15 15:52:45 [INFO] [TRAIN] epoch=57, iter=21060/80000, loss=0.2048, lr=0.007596, batch_cost=1.1054, reader_cost=0.0005 | ETA 18:05:49 2020-12-15 15:52:57 [INFO] [TRAIN] epoch=57, iter=21070/80000, loss=0.2308, lr=0.007595, batch_cost=1.2135, reader_cost=0.0004 | ETA 19:51:51 2020-12-15 15:53:09 [INFO] [TRAIN] epoch=57, iter=21080/80000, loss=0.2120, lr=0.007594, batch_cost=1.2364, reader_cost=0.0021 | ETA 20:14:08 2020-12-15 15:53:22 [INFO] [TRAIN] epoch=57, iter=21090/80000, loss=0.2254, lr=0.007593, batch_cost=1.2390, reader_cost=0.0002 | ETA 20:16:30 2020-12-15 15:53:34 [INFO] [TRAIN] epoch=57, iter=21100/80000, loss=0.2362, lr=0.007592, batch_cost=1.2441, reader_cost=0.0004 | ETA 20:21:16 2020-12-15 15:53:46 [INFO] [TRAIN] epoch=57, iter=21110/80000, loss=0.1558, lr=0.007590, batch_cost=1.2140, reader_cost=0.0010 | ETA 19:51:31 2020-12-15 15:53:59 [INFO] [TRAIN] epoch=57, iter=21120/80000, loss=0.2151, lr=0.007589, batch_cost=1.2117, reader_cost=0.0026 | ETA 19:49:06 2020-12-15 15:54:11 [INFO] [TRAIN] epoch=57, iter=21130/80000, loss=0.1853, lr=0.007588, batch_cost=1.2842, reader_cost=0.0001 | ETA 21:00:02 2020-12-15 15:54:23 [INFO] [TRAIN] epoch=57, iter=21140/80000, loss=0.2231, lr=0.007587, batch_cost=1.1839, reader_cost=0.0001 | ETA 19:21:25 2020-12-15 15:54:34 [INFO] [TRAIN] epoch=57, iter=21150/80000, loss=0.2355, lr=0.007586, batch_cost=1.1247, reader_cost=0.0001 | ETA 18:23:07 2020-12-15 15:54:46 [INFO] [TRAIN] epoch=57, iter=21160/80000, loss=0.2142, lr=0.007585, batch_cost=1.1774, reader_cost=0.0031 | ETA 19:14:38 2020-12-15 15:54:57 [INFO] [TRAIN] epoch=57, iter=21170/80000, loss=0.2523, lr=0.007583, batch_cost=1.1160, reader_cost=0.0042 | ETA 18:14:13 2020-12-15 15:55:10 [INFO] [TRAIN] epoch=57, iter=21180/80000, loss=0.1316, lr=0.007582, batch_cost=1.2134, reader_cost=0.0016 | ETA 19:49:33 2020-12-15 15:55:21 [INFO] [TRAIN] epoch=57, iter=21190/80000, loss=0.1808, lr=0.007581, batch_cost=1.1613, reader_cost=0.0013 | ETA 18:58:14 2020-12-15 15:55:32 [INFO] [TRAIN] epoch=57, iter=21200/80000, loss=0.1633, lr=0.007580, batch_cost=1.0440, reader_cost=0.0005 | ETA 17:03:05 2020-12-15 15:55:44 [INFO] [TRAIN] epoch=58, iter=21210/80000, loss=0.1439, lr=0.007579, batch_cost=1.2715, reader_cost=0.0626 | ETA 20:45:51 2020-12-15 15:55:57 [INFO] [TRAIN] epoch=58, iter=21220/80000, loss=0.1831, lr=0.007578, batch_cost=1.2687, reader_cost=0.0005 | ETA 20:42:53 2020-12-15 15:56:09 [INFO] [TRAIN] epoch=58, iter=21230/80000, loss=0.2001, lr=0.007576, batch_cost=1.2351, reader_cost=0.0025 | ETA 20:09:48 2020-12-15 15:56:22 [INFO] [TRAIN] epoch=58, iter=21240/80000, loss=0.1915, lr=0.007575, batch_cost=1.2739, reader_cost=0.0001 | ETA 20:47:34 2020-12-15 15:56:33 [INFO] [TRAIN] epoch=58, iter=21250/80000, loss=0.1663, lr=0.007574, batch_cost=1.0854, reader_cost=0.0014 | ETA 17:42:46 2020-12-15 15:56:41 [INFO] [TRAIN] epoch=58, iter=21260/80000, loss=0.2718, lr=0.007573, batch_cost=0.8400, reader_cost=0.0005 | ETA 13:42:23 2020-12-15 15:56:54 [INFO] [TRAIN] epoch=58, iter=21270/80000, loss=0.2147, lr=0.007572, batch_cost=1.2505, reader_cost=0.0001 | ETA 20:24:01 2020-12-15 15:57:07 [INFO] [TRAIN] epoch=58, iter=21280/80000, loss=0.1817, lr=0.007571, batch_cost=1.2709, reader_cost=0.0014 | ETA 20:43:45 2020-12-15 15:57:18 [INFO] [TRAIN] epoch=58, iter=21290/80000, loss=0.1671, lr=0.007569, batch_cost=1.1707, reader_cost=0.0021 | ETA 19:05:33 2020-12-15 15:57:30 [INFO] [TRAIN] epoch=58, iter=21300/80000, loss=0.2184, lr=0.007568, batch_cost=1.1762, reader_cost=0.0001 | ETA 19:10:43 2020-12-15 15:57:43 [INFO] [TRAIN] epoch=58, iter=21310/80000, loss=0.3526, lr=0.007567, batch_cost=1.3039, reader_cost=0.0001 | ETA 21:15:26 2020-12-15 15:57:56 [INFO] [TRAIN] epoch=58, iter=21320/80000, loss=0.1945, lr=0.007566, batch_cost=1.2683, reader_cost=0.0021 | ETA 20:40:23 2020-12-15 15:58:08 [INFO] [TRAIN] epoch=58, iter=21330/80000, loss=0.1969, lr=0.007565, batch_cost=1.2041, reader_cost=0.0014 | ETA 19:37:21 2020-12-15 15:58:21 [INFO] [TRAIN] epoch=58, iter=21340/80000, loss=0.1971, lr=0.007564, batch_cost=1.2835, reader_cost=0.0006 | ETA 20:54:52 2020-12-15 15:58:33 [INFO] [TRAIN] epoch=58, iter=21350/80000, loss=0.1585, lr=0.007563, batch_cost=1.2762, reader_cost=0.0021 | ETA 20:47:27 2020-12-15 15:58:45 [INFO] [TRAIN] epoch=58, iter=21360/80000, loss=0.2370, lr=0.007561, batch_cost=1.1668, reader_cost=0.0006 | ETA 19:00:24 2020-12-15 15:58:58 [INFO] [TRAIN] epoch=58, iter=21370/80000, loss=0.1940, lr=0.007560, batch_cost=1.2710, reader_cost=0.0048 | ETA 20:41:57 2020-12-15 15:59:10 [INFO] [TRAIN] epoch=58, iter=21380/80000, loss=0.2023, lr=0.007559, batch_cost=1.2449, reader_cost=0.0001 | ETA 20:16:14 2020-12-15 15:59:23 [INFO] [TRAIN] epoch=58, iter=21390/80000, loss=0.2931, lr=0.007558, batch_cost=1.2597, reader_cost=0.0002 | ETA 20:30:29 2020-12-15 15:59:35 [INFO] [TRAIN] epoch=58, iter=21400/80000, loss=0.1552, lr=0.007557, batch_cost=1.2214, reader_cost=0.0010 | ETA 19:52:56 2020-12-15 15:59:48 [INFO] [TRAIN] epoch=58, iter=21410/80000, loss=0.2707, lr=0.007556, batch_cost=1.3069, reader_cost=0.0006 | ETA 21:16:13 2020-12-15 16:00:00 [INFO] [TRAIN] epoch=58, iter=21420/80000, loss=0.2747, lr=0.007554, batch_cost=1.1788, reader_cost=0.0010 | ETA 19:10:55 2020-12-15 16:00:12 [INFO] [TRAIN] epoch=58, iter=21430/80000, loss=0.2400, lr=0.007553, batch_cost=1.2190, reader_cost=0.0020 | ETA 19:49:58 2020-12-15 16:00:24 [INFO] [TRAIN] epoch=58, iter=21440/80000, loss=0.2253, lr=0.007552, batch_cost=1.1612, reader_cost=0.0002 | ETA 18:53:18 2020-12-15 16:00:36 [INFO] [TRAIN] epoch=58, iter=21450/80000, loss=0.2408, lr=0.007551, batch_cost=1.2500, reader_cost=0.0001 | ETA 20:19:47 2020-12-15 16:00:49 [INFO] [TRAIN] epoch=58, iter=21460/80000, loss=0.1595, lr=0.007550, batch_cost=1.3038, reader_cost=0.0008 | ETA 21:12:05 2020-12-15 16:01:00 [INFO] [TRAIN] epoch=58, iter=21470/80000, loss=0.1819, lr=0.007549, batch_cost=1.1136, reader_cost=0.0001 | ETA 18:06:21 2020-12-15 16:01:09 [INFO] [TRAIN] epoch=58, iter=21480/80000, loss=0.2447, lr=0.007547, batch_cost=0.8230, reader_cost=0.0001 | ETA 13:22:44 2020-12-15 16:01:20 [INFO] [TRAIN] epoch=58, iter=21490/80000, loss=0.1838, lr=0.007546, batch_cost=1.1070, reader_cost=0.0009 | ETA 17:59:27 2020-12-15 16:01:32 [INFO] [TRAIN] epoch=58, iter=21500/80000, loss=0.2071, lr=0.007545, batch_cost=1.2589, reader_cost=0.0006 | ETA 20:27:27 2020-12-15 16:01:45 [INFO] [TRAIN] epoch=58, iter=21510/80000, loss=0.1925, lr=0.007544, batch_cost=1.2491, reader_cost=0.0023 | ETA 20:17:40 2020-12-15 16:01:58 [INFO] [TRAIN] epoch=58, iter=21520/80000, loss=0.2289, lr=0.007543, batch_cost=1.3088, reader_cost=0.0005 | ETA 21:15:38 2020-12-15 16:02:10 [INFO] [TRAIN] epoch=58, iter=21530/80000, loss=0.1981, lr=0.007542, batch_cost=1.1831, reader_cost=0.0001 | ETA 19:12:57 2020-12-15 16:02:22 [INFO] [TRAIN] epoch=58, iter=21540/80000, loss=0.1995, lr=0.007540, batch_cost=1.2396, reader_cost=0.0003 | ETA 20:07:47 2020-12-15 16:02:34 [INFO] [TRAIN] epoch=58, iter=21550/80000, loss=0.1636, lr=0.007539, batch_cost=1.1846, reader_cost=0.0001 | ETA 19:13:57 2020-12-15 16:02:46 [INFO] [TRAIN] epoch=58, iter=21560/80000, loss=0.2429, lr=0.007538, batch_cost=1.1699, reader_cost=0.0001 | ETA 18:59:26 2020-12-15 16:02:59 [INFO] [TRAIN] epoch=58, iter=21570/80000, loss=0.3241, lr=0.007537, batch_cost=1.2984, reader_cost=0.0006 | ETA 21:04:24 2020-12-15 16:03:11 [INFO] [TRAIN] epoch=59, iter=21580/80000, loss=0.1575, lr=0.007536, batch_cost=1.2106, reader_cost=0.0619 | ETA 19:38:44 2020-12-15 16:03:23 [INFO] [TRAIN] epoch=59, iter=21590/80000, loss=0.1770, lr=0.007535, batch_cost=1.2184, reader_cost=0.0011 | ETA 19:46:06 2020-12-15 16:03:34 [INFO] [TRAIN] epoch=59, iter=21600/80000, loss=0.1757, lr=0.007534, batch_cost=1.1007, reader_cost=0.0001 | ETA 17:51:19 2020-12-15 16:03:46 [INFO] [TRAIN] epoch=59, iter=21610/80000, loss=0.2262, lr=0.007532, batch_cost=1.1652, reader_cost=0.0014 | ETA 18:53:58 2020-12-15 16:03:58 [INFO] [TRAIN] epoch=59, iter=21620/80000, loss=0.1419, lr=0.007531, batch_cost=1.2621, reader_cost=0.0001 | ETA 20:28:01 2020-12-15 16:04:11 [INFO] [TRAIN] epoch=59, iter=21630/80000, loss=0.1485, lr=0.007530, batch_cost=1.2737, reader_cost=0.0009 | ETA 20:39:03 2020-12-15 16:04:22 [INFO] [TRAIN] epoch=59, iter=21640/80000, loss=0.3126, lr=0.007529, batch_cost=1.1430, reader_cost=0.0029 | ETA 18:31:42 2020-12-15 16:04:35 [INFO] [TRAIN] epoch=59, iter=21650/80000, loss=0.1805, lr=0.007528, batch_cost=1.2461, reader_cost=0.0001 | ETA 20:11:48 2020-12-15 16:04:46 [INFO] [TRAIN] epoch=59, iter=21660/80000, loss=0.2292, lr=0.007527, batch_cost=1.1635, reader_cost=0.0006 | ETA 18:51:20 2020-12-15 16:04:58 [INFO] [TRAIN] epoch=59, iter=21670/80000, loss=0.1956, lr=0.007525, batch_cost=1.1765, reader_cost=0.0020 | ETA 19:03:46 2020-12-15 16:05:10 [INFO] [TRAIN] epoch=59, iter=21680/80000, loss=0.1885, lr=0.007524, batch_cost=1.2190, reader_cost=0.0018 | ETA 19:44:49 2020-12-15 16:05:22 [INFO] [TRAIN] epoch=59, iter=21690/80000, loss=0.1763, lr=0.007523, batch_cost=1.1177, reader_cost=0.0003 | ETA 18:06:12 2020-12-15 16:05:32 [INFO] [TRAIN] epoch=59, iter=21700/80000, loss=0.1975, lr=0.007522, batch_cost=1.0111, reader_cost=0.0007 | ETA 16:22:28 2020-12-15 16:05:41 [INFO] [TRAIN] epoch=59, iter=21710/80000, loss=0.1705, lr=0.007521, batch_cost=0.9126, reader_cost=0.0001 | ETA 14:46:35 2020-12-15 16:05:53 [INFO] [TRAIN] epoch=59, iter=21720/80000, loss=0.2063, lr=0.007520, batch_cost=1.2076, reader_cost=0.0006 | ETA 19:32:57 2020-12-15 16:06:05 [INFO] [TRAIN] epoch=59, iter=21730/80000, loss=0.1867, lr=0.007518, batch_cost=1.1925, reader_cost=0.0007 | ETA 19:18:05 2020-12-15 16:06:17 [INFO] [TRAIN] epoch=59, iter=21740/80000, loss=0.2296, lr=0.007517, batch_cost=1.2542, reader_cost=0.0006 | ETA 20:17:49 2020-12-15 16:06:29 [INFO] [TRAIN] epoch=59, iter=21750/80000, loss=0.1772, lr=0.007516, batch_cost=1.1743, reader_cost=0.0001 | ETA 19:00:01 2020-12-15 16:06:42 [INFO] [TRAIN] epoch=59, iter=21760/80000, loss=0.1855, lr=0.007515, batch_cost=1.2555, reader_cost=0.0015 | ETA 20:18:40 2020-12-15 16:06:55 [INFO] [TRAIN] epoch=59, iter=21770/80000, loss=0.2381, lr=0.007514, batch_cost=1.3298, reader_cost=0.0014 | ETA 21:30:31 2020-12-15 16:07:07 [INFO] [TRAIN] epoch=59, iter=21780/80000, loss=0.2024, lr=0.007513, batch_cost=1.1785, reader_cost=0.0001 | ETA 19:03:31 2020-12-15 16:07:19 [INFO] [TRAIN] epoch=59, iter=21790/80000, loss=0.1695, lr=0.007511, batch_cost=1.2446, reader_cost=0.0001 | ETA 20:07:28 2020-12-15 16:07:32 [INFO] [TRAIN] epoch=59, iter=21800/80000, loss=0.2022, lr=0.007510, batch_cost=1.2746, reader_cost=0.0001 | ETA 20:36:21 2020-12-15 16:07:45 [INFO] [TRAIN] epoch=59, iter=21810/80000, loss=0.2905, lr=0.007509, batch_cost=1.3220, reader_cost=0.0009 | ETA 21:22:09 2020-12-15 16:07:58 [INFO] [TRAIN] epoch=59, iter=21820/80000, loss=0.1826, lr=0.007508, batch_cost=1.2823, reader_cost=0.0001 | ETA 20:43:23 2020-12-15 16:08:10 [INFO] [TRAIN] epoch=59, iter=21830/80000, loss=0.2159, lr=0.007507, batch_cost=1.2301, reader_cost=0.0001 | ETA 19:52:33 2020-12-15 16:08:22 [INFO] [TRAIN] epoch=59, iter=21840/80000, loss=0.2048, lr=0.007506, batch_cost=1.1815, reader_cost=0.0043 | ETA 19:05:15 2020-12-15 16:08:34 [INFO] [TRAIN] epoch=59, iter=21850/80000, loss=0.2375, lr=0.007504, batch_cost=1.1814, reader_cost=0.0009 | ETA 19:05:00 2020-12-15 16:08:47 [INFO] [TRAIN] epoch=59, iter=21860/80000, loss=0.1768, lr=0.007503, batch_cost=1.2698, reader_cost=0.0019 | ETA 20:30:23 2020-12-15 16:08:59 [INFO] [TRAIN] epoch=59, iter=21870/80000, loss=0.2262, lr=0.007502, batch_cost=1.2455, reader_cost=0.0001 | ETA 20:06:43 2020-12-15 16:09:10 [INFO] [TRAIN] epoch=59, iter=21880/80000, loss=0.1738, lr=0.007501, batch_cost=1.0584, reader_cost=0.0001 | ETA 17:05:16 2020-12-15 16:09:18 [INFO] [TRAIN] epoch=59, iter=21890/80000, loss=0.1662, lr=0.007500, batch_cost=0.8044, reader_cost=0.0001 | ETA 12:59:06 2020-12-15 16:09:26 [INFO] [TRAIN] epoch=59, iter=21900/80000, loss=0.2139, lr=0.007499, batch_cost=0.8087, reader_cost=0.0001 | ETA 13:03:03 2020-12-15 16:09:34 [INFO] [TRAIN] epoch=59, iter=21910/80000, loss=0.2325, lr=0.007498, batch_cost=0.8334, reader_cost=0.0001 | ETA 13:26:50 2020-12-15 16:09:42 [INFO] [TRAIN] epoch=59, iter=21920/80000, loss=0.1845, lr=0.007496, batch_cost=0.8329, reader_cost=0.0001 | ETA 13:26:16 2020-12-15 16:09:54 [INFO] [TRAIN] epoch=59, iter=21930/80000, loss=0.1883, lr=0.007495, batch_cost=1.1854, reader_cost=0.0005 | ETA 19:07:13 2020-12-15 16:10:07 [INFO] [TRAIN] epoch=59, iter=21940/80000, loss=0.1675, lr=0.007494, batch_cost=1.2565, reader_cost=0.0001 | ETA 20:15:51 2020-12-15 16:10:18 [INFO] [TRAIN] epoch=60, iter=21950/80000, loss=0.2234, lr=0.007493, batch_cost=1.1511, reader_cost=0.0657 | ETA 18:33:39 2020-12-15 16:10:31 [INFO] [TRAIN] epoch=60, iter=21960/80000, loss=0.2540, lr=0.007492, batch_cost=1.2198, reader_cost=0.0012 | ETA 19:39:56 2020-12-15 16:10:39 [INFO] [TRAIN] epoch=60, iter=21970/80000, loss=0.2173, lr=0.007491, batch_cost=0.8280, reader_cost=0.0001 | ETA 13:20:51 2020-12-15 16:10:50 [INFO] [TRAIN] epoch=60, iter=21980/80000, loss=0.2181, lr=0.007489, batch_cost=1.0984, reader_cost=0.0005 | ETA 17:42:10 2020-12-15 16:11:02 [INFO] [TRAIN] epoch=60, iter=21990/80000, loss=0.2186, lr=0.007488, batch_cost=1.2067, reader_cost=0.0014 | ETA 19:26:42 2020-12-15 16:11:14 [INFO] [TRAIN] epoch=60, iter=22000/80000, loss=0.2371, lr=0.007487, batch_cost=1.1611, reader_cost=0.0001 | ETA 18:42:22 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 16:11:14 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 16:12:04 [INFO] [EVAL] #Images=500 mIoU=0.7571 Acc=0.9547 Kappa=0.9413 2020-12-15 16:12:04 [INFO] [EVAL] Class IoU: [0.9752 0.8162 0.9185 0.5283 0.6117 0.572 0.6713 0.7617 0.9162 0.6124 0.9414 0.7981 0.6052 0.9418 0.7935 0.8328 0.7413 0.5981 0.7498] 2020-12-15 16:12:04 [INFO] [EVAL] Class Acc: [0.992 0.8779 0.9581 0.821 0.7683 0.744 0.7805 0.8921 0.9424 0.8708 0.9695 0.8871 0.7108 0.963 0.8529 0.9505 0.8391 0.7951 0.8711] 2020-12-15 16:12:14 [INFO] [EVAL] The model with the best validation mIoU (0.7571) was saved at iter 22000. 2020-12-15 16:12:26 [INFO] [TRAIN] epoch=60, iter=22010/80000, loss=0.2596, lr=0.007486, batch_cost=1.1662, reader_cost=0.0016 | ETA 18:47:08 2020-12-15 16:12:38 [INFO] [TRAIN] epoch=60, iter=22020/80000, loss=0.1813, lr=0.007485, batch_cost=1.2680, reader_cost=0.0018 | ETA 20:25:16 2020-12-15 16:12:51 [INFO] [TRAIN] epoch=60, iter=22030/80000, loss=0.1807, lr=0.007484, batch_cost=1.2593, reader_cost=0.0020 | ETA 20:16:41 2020-12-15 16:13:02 [INFO] [TRAIN] epoch=60, iter=22040/80000, loss=0.1594, lr=0.007482, batch_cost=1.0787, reader_cost=0.0041 | ETA 17:22:03 2020-12-15 16:13:15 [INFO] [TRAIN] epoch=60, iter=22050/80000, loss=0.1634, lr=0.007481, batch_cost=1.3290, reader_cost=0.0005 | ETA 21:23:36 2020-12-15 16:13:27 [INFO] [TRAIN] epoch=60, iter=22060/80000, loss=0.2035, lr=0.007480, batch_cost=1.2294, reader_cost=0.0005 | ETA 19:47:11 2020-12-15 16:13:41 [INFO] [TRAIN] epoch=60, iter=22070/80000, loss=0.4050, lr=0.007479, batch_cost=1.3595, reader_cost=0.0015 | ETA 21:52:34 2020-12-15 16:13:53 [INFO] [TRAIN] epoch=60, iter=22080/80000, loss=0.2052, lr=0.007478, batch_cost=1.2206, reader_cost=0.0021 | ETA 19:38:15 2020-12-15 16:14:05 [INFO] [TRAIN] epoch=60, iter=22090/80000, loss=0.1533, lr=0.007477, batch_cost=1.2104, reader_cost=0.0001 | ETA 19:28:15 2020-12-15 16:14:18 [INFO] [TRAIN] epoch=60, iter=22100/80000, loss=0.2348, lr=0.007475, batch_cost=1.2511, reader_cost=0.0010 | ETA 20:07:20 2020-12-15 16:14:30 [INFO] [TRAIN] epoch=60, iter=22110/80000, loss=0.2155, lr=0.007474, batch_cost=1.1918, reader_cost=0.0007 | ETA 19:09:55 2020-12-15 16:14:42 [INFO] [TRAIN] epoch=60, iter=22120/80000, loss=0.2091, lr=0.007473, batch_cost=1.2895, reader_cost=0.0014 | ETA 20:43:58 2020-12-15 16:14:54 [INFO] [TRAIN] epoch=60, iter=22130/80000, loss=0.1728, lr=0.007472, batch_cost=1.1553, reader_cost=0.0005 | ETA 18:34:15 2020-12-15 16:15:04 [INFO] [TRAIN] epoch=60, iter=22140/80000, loss=0.1968, lr=0.007471, batch_cost=1.0241, reader_cost=0.0001 | ETA 16:27:37 2020-12-15 16:15:14 [INFO] [TRAIN] epoch=60, iter=22150/80000, loss=0.2973, lr=0.007470, batch_cost=0.9541, reader_cost=0.0001 | ETA 15:19:55 2020-12-15 16:15:26 [INFO] [TRAIN] epoch=60, iter=22160/80000, loss=0.2513, lr=0.007468, batch_cost=1.1849, reader_cost=0.0001 | ETA 19:02:11 2020-12-15 16:15:39 [INFO] [TRAIN] epoch=60, iter=22170/80000, loss=0.2368, lr=0.007467, batch_cost=1.3139, reader_cost=0.0005 | ETA 21:06:20 2020-12-15 16:15:51 [INFO] [TRAIN] epoch=60, iter=22180/80000, loss=0.2144, lr=0.007466, batch_cost=1.2346, reader_cost=0.0015 | ETA 19:49:42 2020-12-15 16:16:04 [INFO] [TRAIN] epoch=60, iter=22190/80000, loss=0.2002, lr=0.007465, batch_cost=1.2405, reader_cost=0.0017 | ETA 19:55:16 2020-12-15 16:16:15 [INFO] [TRAIN] epoch=60, iter=22200/80000, loss=0.2135, lr=0.007464, batch_cost=1.1675, reader_cost=0.0009 | ETA 18:44:39 2020-12-15 16:16:27 [INFO] [TRAIN] epoch=60, iter=22210/80000, loss=0.2229, lr=0.007463, batch_cost=1.2017, reader_cost=0.0001 | ETA 19:17:25 2020-12-15 16:16:40 [INFO] [TRAIN] epoch=60, iter=22220/80000, loss=0.2208, lr=0.007461, batch_cost=1.2451, reader_cost=0.0013 | ETA 19:59:02 2020-12-15 16:16:52 [INFO] [TRAIN] epoch=60, iter=22230/80000, loss=0.1687, lr=0.007460, batch_cost=1.2281, reader_cost=0.0008 | ETA 19:42:24 2020-12-15 16:17:05 [INFO] [TRAIN] epoch=60, iter=22240/80000, loss=0.2400, lr=0.007459, batch_cost=1.2912, reader_cost=0.0009 | ETA 20:42:58 2020-12-15 16:17:17 [INFO] [TRAIN] epoch=60, iter=22250/80000, loss=0.2016, lr=0.007458, batch_cost=1.2285, reader_cost=0.0001 | ETA 19:42:27 2020-12-15 16:17:29 [INFO] [TRAIN] epoch=60, iter=22260/80000, loss=0.2377, lr=0.007457, batch_cost=1.2199, reader_cost=0.0001 | ETA 19:33:58 2020-12-15 16:17:41 [INFO] [TRAIN] epoch=60, iter=22270/80000, loss=0.2942, lr=0.007456, batch_cost=1.1838, reader_cost=0.0017 | ETA 18:59:01 2020-12-15 16:17:53 [INFO] [TRAIN] epoch=60, iter=22280/80000, loss=0.1841, lr=0.007455, batch_cost=1.2203, reader_cost=0.0001 | ETA 19:33:56 2020-12-15 16:18:05 [INFO] [TRAIN] epoch=60, iter=22290/80000, loss=0.2018, lr=0.007453, batch_cost=1.1690, reader_cost=0.0006 | ETA 18:44:21 2020-12-15 16:18:17 [INFO] [TRAIN] epoch=60, iter=22300/80000, loss=0.2813, lr=0.007452, batch_cost=1.2263, reader_cost=0.0001 | ETA 19:39:15 2020-12-15 16:18:29 [INFO] [TRAIN] epoch=60, iter=22310/80000, loss=0.1971, lr=0.007451, batch_cost=1.1593, reader_cost=0.0031 | ETA 18:34:40 2020-12-15 16:18:39 [INFO] [TRAIN] epoch=60, iter=22320/80000, loss=0.2266, lr=0.007450, batch_cost=1.0442, reader_cost=0.0014 | ETA 16:43:47 2020-12-15 16:18:53 [INFO] [TRAIN] epoch=61, iter=22330/80000, loss=0.2208, lr=0.007449, batch_cost=1.3105, reader_cost=0.0547 | ETA 20:59:38 2020-12-15 16:19:04 [INFO] [TRAIN] epoch=61, iter=22340/80000, loss=0.1999, lr=0.007448, batch_cost=1.1486, reader_cost=0.0005 | ETA 18:23:49 2020-12-15 16:19:16 [INFO] [TRAIN] epoch=61, iter=22350/80000, loss=0.1867, lr=0.007446, batch_cost=1.1704, reader_cost=0.0001 | ETA 18:44:32 2020-12-15 16:19:27 [INFO] [TRAIN] epoch=61, iter=22360/80000, loss=0.2012, lr=0.007445, batch_cost=1.1522, reader_cost=0.0001 | ETA 18:26:54 2020-12-15 16:19:36 [INFO] [TRAIN] epoch=61, iter=22370/80000, loss=0.1755, lr=0.007444, batch_cost=0.8893, reader_cost=0.0001 | ETA 14:14:11 2020-12-15 16:19:46 [INFO] [TRAIN] epoch=61, iter=22380/80000, loss=0.1666, lr=0.007443, batch_cost=0.9429, reader_cost=0.0001 | ETA 15:05:30 2020-12-15 16:19:57 [INFO] [TRAIN] epoch=61, iter=22390/80000, loss=0.1959, lr=0.007442, batch_cost=1.1882, reader_cost=0.0001 | ETA 19:00:54 2020-12-15 16:20:09 [INFO] [TRAIN] epoch=61, iter=22400/80000, loss=0.1787, lr=0.007441, batch_cost=1.1809, reader_cost=0.0007 | ETA 18:53:42 2020-12-15 16:20:21 [INFO] [TRAIN] epoch=61, iter=22410/80000, loss=0.1937, lr=0.007439, batch_cost=1.1918, reader_cost=0.0027 | ETA 19:03:56 2020-12-15 16:20:33 [INFO] [TRAIN] epoch=61, iter=22420/80000, loss=0.1691, lr=0.007438, batch_cost=1.1710, reader_cost=0.0001 | ETA 18:43:43 2020-12-15 16:20:44 [INFO] [TRAIN] epoch=61, iter=22430/80000, loss=0.2041, lr=0.007437, batch_cost=1.1210, reader_cost=0.0001 | ETA 17:55:34 2020-12-15 16:20:56 [INFO] [TRAIN] epoch=61, iter=22440/80000, loss=0.2037, lr=0.007436, batch_cost=1.1904, reader_cost=0.0021 | ETA 19:01:57 2020-12-15 16:21:09 [INFO] [TRAIN] epoch=61, iter=22450/80000, loss=0.2207, lr=0.007435, batch_cost=1.2519, reader_cost=0.0026 | ETA 20:00:44 2020-12-15 16:21:21 [INFO] [TRAIN] epoch=61, iter=22460/80000, loss=0.1765, lr=0.007434, batch_cost=1.2302, reader_cost=0.0022 | ETA 19:39:46 2020-12-15 16:21:33 [INFO] [TRAIN] epoch=61, iter=22470/80000, loss=0.2278, lr=0.007432, batch_cost=1.2547, reader_cost=0.0021 | ETA 20:03:02 2020-12-15 16:21:46 [INFO] [TRAIN] epoch=61, iter=22480/80000, loss=0.2193, lr=0.007431, batch_cost=1.2763, reader_cost=0.0026 | ETA 20:23:31 2020-12-15 16:21:59 [INFO] [TRAIN] epoch=61, iter=22490/80000, loss=0.3784, lr=0.007430, batch_cost=1.2653, reader_cost=0.0002 | ETA 20:12:46 2020-12-15 16:22:10 [INFO] [TRAIN] epoch=61, iter=22500/80000, loss=0.5151, lr=0.007429, batch_cost=1.1299, reader_cost=0.0030 | ETA 18:02:47 2020-12-15 16:22:23 [INFO] [TRAIN] epoch=61, iter=22510/80000, loss=0.2430, lr=0.007428, batch_cost=1.3337, reader_cost=0.0005 | ETA 21:17:56 2020-12-15 16:22:35 [INFO] [TRAIN] epoch=61, iter=22520/80000, loss=0.2704, lr=0.007427, batch_cost=1.2000, reader_cost=0.0030 | ETA 19:09:38 2020-12-15 16:22:48 [INFO] [TRAIN] epoch=61, iter=22530/80000, loss=0.2542, lr=0.007425, batch_cost=1.2580, reader_cost=0.0022 | ETA 20:04:56 2020-12-15 16:23:01 [INFO] [TRAIN] epoch=61, iter=22540/80000, loss=0.3938, lr=0.007424, batch_cost=1.2594, reader_cost=0.0001 | ETA 20:06:02 2020-12-15 16:23:14 [INFO] [TRAIN] epoch=61, iter=22550/80000, loss=0.1787, lr=0.007423, batch_cost=1.2883, reader_cost=0.0005 | ETA 20:33:30 2020-12-15 16:23:25 [INFO] [TRAIN] epoch=61, iter=22560/80000, loss=0.1591, lr=0.007422, batch_cost=1.1098, reader_cost=0.0009 | ETA 17:42:29 2020-12-15 16:23:36 [INFO] [TRAIN] epoch=61, iter=22570/80000, loss=0.2011, lr=0.007421, batch_cost=1.1695, reader_cost=0.0001 | ETA 18:39:26 2020-12-15 16:23:49 [INFO] [TRAIN] epoch=61, iter=22580/80000, loss=0.1776, lr=0.007420, batch_cost=1.2354, reader_cost=0.0001 | ETA 19:42:19 2020-12-15 16:24:00 [INFO] [TRAIN] epoch=61, iter=22590/80000, loss=0.1876, lr=0.007418, batch_cost=1.1704, reader_cost=0.0010 | ETA 18:39:51 2020-12-15 16:24:08 [INFO] [TRAIN] epoch=61, iter=22600/80000, loss=0.1516, lr=0.007417, batch_cost=0.8005, reader_cost=0.0001 | ETA 12:45:48 2020-12-15 16:24:20 [INFO] [TRAIN] epoch=61, iter=22610/80000, loss=0.1724, lr=0.007416, batch_cost=1.1508, reader_cost=0.0028 | ETA 18:20:47 2020-12-15 16:24:32 [INFO] [TRAIN] epoch=61, iter=22620/80000, loss=0.1664, lr=0.007415, batch_cost=1.1906, reader_cost=0.0001 | ETA 18:58:33 2020-12-15 16:24:45 [INFO] [TRAIN] epoch=61, iter=22630/80000, loss=0.1571, lr=0.007414, batch_cost=1.2767, reader_cost=0.0002 | ETA 20:20:43 2020-12-15 16:24:56 [INFO] [TRAIN] epoch=61, iter=22640/80000, loss=0.1815, lr=0.007413, batch_cost=1.1514, reader_cost=0.0017 | ETA 18:20:43 2020-12-15 16:25:09 [INFO] [TRAIN] epoch=61, iter=22650/80000, loss=0.1877, lr=0.007411, batch_cost=1.2768, reader_cost=0.0001 | ETA 20:20:22 2020-12-15 16:25:22 [INFO] [TRAIN] epoch=61, iter=22660/80000, loss=0.1819, lr=0.007410, batch_cost=1.2819, reader_cost=0.0001 | ETA 20:25:06 2020-12-15 16:25:35 [INFO] [TRAIN] epoch=61, iter=22670/80000, loss=0.2082, lr=0.007409, batch_cost=1.3389, reader_cost=0.0031 | ETA 21:19:19 2020-12-15 16:25:48 [INFO] [TRAIN] epoch=61, iter=22680/80000, loss=0.1890, lr=0.007408, batch_cost=1.2897, reader_cost=0.0005 | ETA 20:32:03 2020-12-15 16:25:59 [INFO] [TRAIN] epoch=61, iter=22690/80000, loss=0.2194, lr=0.007407, batch_cost=1.0931, reader_cost=0.0018 | ETA 17:24:05 2020-12-15 16:26:11 [INFO] [TRAIN] epoch=62, iter=22700/80000, loss=0.1590, lr=0.007406, batch_cost=1.2467, reader_cost=0.0603 | ETA 19:50:38 2020-12-15 16:26:23 [INFO] [TRAIN] epoch=62, iter=22710/80000, loss=0.1944, lr=0.007405, batch_cost=1.1918, reader_cost=0.0001 | ETA 18:57:58 2020-12-15 16:26:35 [INFO] [TRAIN] epoch=62, iter=22720/80000, loss=0.1629, lr=0.007403, batch_cost=1.1490, reader_cost=0.0019 | ETA 18:16:51 2020-12-15 16:26:46 [INFO] [TRAIN] epoch=62, iter=22730/80000, loss=0.1433, lr=0.007402, batch_cost=1.1128, reader_cost=0.0001 | ETA 17:42:11 2020-12-15 16:26:58 [INFO] [TRAIN] epoch=62, iter=22740/80000, loss=0.2502, lr=0.007401, batch_cost=1.2104, reader_cost=0.0010 | ETA 19:15:09 2020-12-15 16:27:10 [INFO] [TRAIN] epoch=62, iter=22750/80000, loss=0.2291, lr=0.007400, batch_cost=1.1891, reader_cost=0.0008 | ETA 18:54:35 2020-12-15 16:27:21 [INFO] [TRAIN] epoch=62, iter=22760/80000, loss=0.1817, lr=0.007399, batch_cost=1.1324, reader_cost=0.0001 | ETA 18:00:17 2020-12-15 16:27:33 [INFO] [TRAIN] epoch=62, iter=22770/80000, loss=0.2705, lr=0.007398, batch_cost=1.1525, reader_cost=0.0025 | ETA 18:19:17 2020-12-15 16:27:46 [INFO] [TRAIN] epoch=62, iter=22780/80000, loss=0.3047, lr=0.007396, batch_cost=1.2998, reader_cost=0.0029 | ETA 20:39:35 2020-12-15 16:27:58 [INFO] [TRAIN] epoch=62, iter=22790/80000, loss=0.2359, lr=0.007395, batch_cost=1.1883, reader_cost=0.0001 | ETA 18:53:05 2020-12-15 16:28:09 [INFO] [TRAIN] epoch=62, iter=22800/80000, loss=0.2420, lr=0.007394, batch_cost=1.1393, reader_cost=0.0006 | ETA 18:06:09 2020-12-15 16:28:21 [INFO] [TRAIN] epoch=62, iter=22810/80000, loss=0.1901, lr=0.007393, batch_cost=1.1518, reader_cost=0.0001 | ETA 18:17:53 2020-12-15 16:28:31 [INFO] [TRAIN] epoch=62, iter=22820/80000, loss=0.2295, lr=0.007392, batch_cost=1.0844, reader_cost=0.0013 | ETA 17:13:24 2020-12-15 16:28:39 [INFO] [TRAIN] epoch=62, iter=22830/80000, loss=0.2553, lr=0.007391, batch_cost=0.7988, reader_cost=0.0001 | ETA 12:41:07 2020-12-15 16:28:51 [INFO] [TRAIN] epoch=62, iter=22840/80000, loss=0.2290, lr=0.007389, batch_cost=1.1383, reader_cost=0.0001 | ETA 18:04:23 2020-12-15 16:29:03 [INFO] [TRAIN] epoch=62, iter=22850/80000, loss=0.1868, lr=0.007388, batch_cost=1.2676, reader_cost=0.0010 | ETA 20:07:24 2020-12-15 16:29:15 [INFO] [TRAIN] epoch=62, iter=22860/80000, loss=0.1865, lr=0.007387, batch_cost=1.1679, reader_cost=0.0007 | ETA 18:32:12 2020-12-15 16:29:26 [INFO] [TRAIN] epoch=62, iter=22870/80000, loss=0.2430, lr=0.007386, batch_cost=1.1300, reader_cost=0.0002 | ETA 17:55:58 2020-12-15 16:29:39 [INFO] [TRAIN] epoch=62, iter=22880/80000, loss=0.1358, lr=0.007385, batch_cost=1.2449, reader_cost=0.0001 | ETA 19:45:10 2020-12-15 16:29:50 [INFO] [TRAIN] epoch=62, iter=22890/80000, loss=0.1876, lr=0.007384, batch_cost=1.0932, reader_cost=0.0001 | ETA 17:20:32 2020-12-15 16:30:02 [INFO] [TRAIN] epoch=62, iter=22900/80000, loss=0.1884, lr=0.007382, batch_cost=1.1738, reader_cost=0.0002 | ETA 18:37:04 2020-12-15 16:30:14 [INFO] [TRAIN] epoch=62, iter=22910/80000, loss=0.3162, lr=0.007381, batch_cost=1.2336, reader_cost=0.0001 | ETA 19:33:47 2020-12-15 16:30:26 [INFO] [TRAIN] epoch=62, iter=22920/80000, loss=0.1902, lr=0.007380, batch_cost=1.1899, reader_cost=0.0018 | ETA 18:51:58 2020-12-15 16:30:38 [INFO] [TRAIN] epoch=62, iter=22930/80000, loss=0.2050, lr=0.007379, batch_cost=1.2180, reader_cost=0.0002 | ETA 19:18:29 2020-12-15 16:30:50 [INFO] [TRAIN] epoch=62, iter=22940/80000, loss=0.2494, lr=0.007378, batch_cost=1.2334, reader_cost=0.0016 | ETA 19:32:56 2020-12-15 16:31:02 [INFO] [TRAIN] epoch=62, iter=22950/80000, loss=0.1958, lr=0.007377, batch_cost=1.1694, reader_cost=0.0009 | ETA 18:31:54 2020-12-15 16:31:14 [INFO] [TRAIN] epoch=62, iter=22960/80000, loss=0.3086, lr=0.007375, batch_cost=1.2319, reader_cost=0.0023 | ETA 19:31:09 2020-12-15 16:31:25 [INFO] [TRAIN] epoch=62, iter=22970/80000, loss=0.1924, lr=0.007374, batch_cost=1.1189, reader_cost=0.0036 | ETA 17:43:29 2020-12-15 16:31:37 [INFO] [TRAIN] epoch=62, iter=22980/80000, loss=0.2192, lr=0.007373, batch_cost=1.1732, reader_cost=0.0028 | ETA 18:34:55 2020-12-15 16:31:50 [INFO] [TRAIN] epoch=62, iter=22990/80000, loss=0.2495, lr=0.007372, batch_cost=1.2605, reader_cost=0.0015 | ETA 19:57:39 2020-12-15 16:32:02 [INFO] [TRAIN] epoch=62, iter=23000/80000, loss=0.2072, lr=0.007371, batch_cost=1.2350, reader_cost=0.0001 | ETA 19:33:14 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 16:32:02 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 16:32:52 [INFO] [EVAL] #Images=500 mIoU=0.7235 Acc=0.9523 Kappa=0.9381 2020-12-15 16:32:52 [INFO] [EVAL] Class IoU: [0.9776 0.8264 0.9083 0.5082 0.5698 0.5604 0.6634 0.7138 0.9115 0.621 0.9326 0.7862 0.5783 0.9405 0.7273 0.7534 0.4657 0.556 0.7467] 2020-12-15 16:32:52 [INFO] [EVAL] Class Acc: [0.9888 0.9113 0.9526 0.8241 0.7736 0.7263 0.8301 0.8622 0.9449 0.7336 0.9465 0.8853 0.7069 0.9702 0.8743 0.8187 0.9629 0.8146 0.8228] 2020-12-15 16:32:59 [INFO] [EVAL] The model with the best validation mIoU (0.7571) was saved at iter 22000. 2020-12-15 16:33:07 [INFO] [TRAIN] epoch=62, iter=23010/80000, loss=0.1597, lr=0.007370, batch_cost=0.8072, reader_cost=0.0001 | ETA 12:46:44 2020-12-15 16:33:18 [INFO] [TRAIN] epoch=62, iter=23020/80000, loss=0.2003, lr=0.007368, batch_cost=1.0584, reader_cost=0.0044 | ETA 16:45:06 2020-12-15 16:33:30 [INFO] [TRAIN] epoch=62, iter=23030/80000, loss=0.2451, lr=0.007367, batch_cost=1.2390, reader_cost=0.0001 | ETA 19:36:26 2020-12-15 16:33:42 [INFO] [TRAIN] epoch=62, iter=23040/80000, loss=0.1557, lr=0.007366, batch_cost=1.1416, reader_cost=0.0001 | ETA 18:03:46 2020-12-15 16:33:53 [INFO] [TRAIN] epoch=62, iter=23050/80000, loss=0.1763, lr=0.007365, batch_cost=1.0969, reader_cost=0.0001 | ETA 17:21:08 2020-12-15 16:34:01 [INFO] [TRAIN] epoch=62, iter=23060/80000, loss=0.1824, lr=0.007364, batch_cost=0.8127, reader_cost=0.0001 | ETA 12:51:17 2020-12-15 16:34:10 [INFO] [TRAIN] epoch=63, iter=23070/80000, loss=0.2335, lr=0.007363, batch_cost=0.9017, reader_cost=0.0599 | ETA 14:15:34 2020-12-15 16:34:18 [INFO] [TRAIN] epoch=63, iter=23080/80000, loss=0.2277, lr=0.007361, batch_cost=0.8201, reader_cost=0.0001 | ETA 12:57:57 2020-12-15 16:34:26 [INFO] [TRAIN] epoch=63, iter=23090/80000, loss=0.2607, lr=0.007360, batch_cost=0.8265, reader_cost=0.0001 | ETA 13:03:57 2020-12-15 16:34:36 [INFO] [TRAIN] epoch=63, iter=23100/80000, loss=0.2861, lr=0.007359, batch_cost=0.9649, reader_cost=0.0001 | ETA 15:15:00 2020-12-15 16:34:48 [INFO] [TRAIN] epoch=63, iter=23110/80000, loss=0.1959, lr=0.007358, batch_cost=1.1716, reader_cost=0.0001 | ETA 18:30:54 2020-12-15 16:35:00 [INFO] [TRAIN] epoch=63, iter=23120/80000, loss=0.1762, lr=0.007357, batch_cost=1.2065, reader_cost=0.0006 | ETA 19:03:45 2020-12-15 16:35:11 [INFO] [TRAIN] epoch=63, iter=23130/80000, loss=0.2521, lr=0.007356, batch_cost=1.1532, reader_cost=0.0005 | ETA 18:13:04 2020-12-15 16:35:23 [INFO] [TRAIN] epoch=63, iter=23140/80000, loss=0.3311, lr=0.007354, batch_cost=1.1634, reader_cost=0.0013 | ETA 18:22:32 2020-12-15 16:35:36 [INFO] [TRAIN] epoch=63, iter=23150/80000, loss=0.2018, lr=0.007353, batch_cost=1.3031, reader_cost=0.0022 | ETA 20:34:38 2020-12-15 16:35:47 [INFO] [TRAIN] epoch=63, iter=23160/80000, loss=0.2046, lr=0.007352, batch_cost=1.1570, reader_cost=0.0001 | ETA 18:16:03 2020-12-15 16:36:00 [INFO] [TRAIN] epoch=63, iter=23170/80000, loss=0.1572, lr=0.007351, batch_cost=1.2207, reader_cost=0.0002 | ETA 19:16:11 2020-12-15 16:36:12 [INFO] [TRAIN] epoch=63, iter=23180/80000, loss=0.1728, lr=0.007350, batch_cost=1.2490, reader_cost=0.0005 | ETA 19:42:50 2020-12-15 16:36:25 [INFO] [TRAIN] epoch=63, iter=23190/80000, loss=0.2638, lr=0.007349, batch_cost=1.2728, reader_cost=0.0050 | ETA 20:05:08 2020-12-15 16:36:36 [INFO] [TRAIN] epoch=63, iter=23200/80000, loss=0.1863, lr=0.007347, batch_cost=1.1470, reader_cost=0.0001 | ETA 18:05:50 2020-12-15 16:36:49 [INFO] [TRAIN] epoch=63, iter=23210/80000, loss=0.1710, lr=0.007346, batch_cost=1.2538, reader_cost=0.0001 | ETA 19:46:41 2020-12-15 16:37:01 [INFO] [TRAIN] epoch=63, iter=23220/80000, loss=0.2339, lr=0.007345, batch_cost=1.2560, reader_cost=0.0001 | ETA 19:48:33 2020-12-15 16:37:14 [INFO] [TRAIN] epoch=63, iter=23230/80000, loss=0.2031, lr=0.007344, batch_cost=1.3144, reader_cost=0.0009 | ETA 20:43:39 2020-12-15 16:37:25 [INFO] [TRAIN] epoch=63, iter=23240/80000, loss=0.2310, lr=0.007343, batch_cost=1.0485, reader_cost=0.0001 | ETA 16:31:50 2020-12-15 16:37:36 [INFO] [TRAIN] epoch=63, iter=23250/80000, loss=0.1752, lr=0.007342, batch_cost=1.1171, reader_cost=0.0025 | ETA 17:36:33 2020-12-15 16:37:48 [INFO] [TRAIN] epoch=63, iter=23260/80000, loss=0.2653, lr=0.007341, batch_cost=1.2135, reader_cost=0.0005 | ETA 19:07:31 2020-12-15 16:38:00 [INFO] [TRAIN] epoch=63, iter=23270/80000, loss=0.2115, lr=0.007339, batch_cost=1.1714, reader_cost=0.0005 | ETA 18:27:35 2020-12-15 16:38:08 [INFO] [TRAIN] epoch=63, iter=23280/80000, loss=0.2884, lr=0.007338, batch_cost=0.8208, reader_cost=0.0004 | ETA 12:55:56 2020-12-15 16:38:18 [INFO] [TRAIN] epoch=63, iter=23290/80000, loss=0.1842, lr=0.007337, batch_cost=0.9850, reader_cost=0.0001 | ETA 15:31:01 2020-12-15 16:38:31 [INFO] [TRAIN] epoch=63, iter=23300/80000, loss=0.2448, lr=0.007336, batch_cost=1.3119, reader_cost=0.0014 | ETA 20:39:46 2020-12-15 16:38:43 [INFO] [TRAIN] epoch=63, iter=23310/80000, loss=0.1664, lr=0.007335, batch_cost=1.1787, reader_cost=0.0012 | ETA 18:33:37 2020-12-15 16:38:55 [INFO] [TRAIN] epoch=63, iter=23320/80000, loss=0.2499, lr=0.007334, batch_cost=1.2096, reader_cost=0.0016 | ETA 19:02:42 2020-12-15 16:39:08 [INFO] [TRAIN] epoch=63, iter=23330/80000, loss=0.1692, lr=0.007332, batch_cost=1.3200, reader_cost=0.0006 | ETA 20:46:43 2020-12-15 16:39:21 [INFO] [TRAIN] epoch=63, iter=23340/80000, loss=0.3317, lr=0.007331, batch_cost=1.2621, reader_cost=0.0002 | ETA 19:51:48 2020-12-15 16:39:34 [INFO] [TRAIN] epoch=63, iter=23350/80000, loss=0.2245, lr=0.007330, batch_cost=1.3054, reader_cost=0.0005 | ETA 20:32:33 2020-12-15 16:39:46 [INFO] [TRAIN] epoch=63, iter=23360/80000, loss=0.1731, lr=0.007329, batch_cost=1.2166, reader_cost=0.0020 | ETA 19:08:27 2020-12-15 16:39:58 [INFO] [TRAIN] epoch=63, iter=23370/80000, loss=0.1772, lr=0.007328, batch_cost=1.1858, reader_cost=0.0021 | ETA 18:39:10 2020-12-15 16:40:10 [INFO] [TRAIN] epoch=63, iter=23380/80000, loss=0.1844, lr=0.007327, batch_cost=1.2469, reader_cost=0.0013 | ETA 19:36:37 2020-12-15 16:40:22 [INFO] [TRAIN] epoch=63, iter=23390/80000, loss=0.2738, lr=0.007325, batch_cost=1.1233, reader_cost=0.0001 | ETA 17:39:50 2020-12-15 16:40:34 [INFO] [TRAIN] epoch=63, iter=23400/80000, loss=0.2618, lr=0.007324, batch_cost=1.1895, reader_cost=0.0014 | ETA 18:42:08 2020-12-15 16:40:45 [INFO] [TRAIN] epoch=63, iter=23410/80000, loss=0.2079, lr=0.007323, batch_cost=1.1718, reader_cost=0.0008 | ETA 18:25:11 2020-12-15 16:40:58 [INFO] [TRAIN] epoch=63, iter=23420/80000, loss=0.1936, lr=0.007322, batch_cost=1.2728, reader_cost=0.0014 | ETA 20:00:15 2020-12-15 16:41:10 [INFO] [TRAIN] epoch=63, iter=23430/80000, loss=0.2390, lr=0.007321, batch_cost=1.1739, reader_cost=0.0001 | ETA 18:26:50 2020-12-15 16:41:21 [INFO] [TRAIN] epoch=64, iter=23440/80000, loss=0.1559, lr=0.007320, batch_cost=1.1683, reader_cost=0.0670 | ETA 18:21:17 2020-12-15 16:41:33 [INFO] [TRAIN] epoch=64, iter=23450/80000, loss=0.1841, lr=0.007318, batch_cost=1.1681, reader_cost=0.0001 | ETA 18:20:55 2020-12-15 16:41:46 [INFO] [TRAIN] epoch=64, iter=23460/80000, loss=0.2163, lr=0.007317, batch_cost=1.2525, reader_cost=0.0029 | ETA 19:40:13 2020-12-15 16:41:58 [INFO] [TRAIN] epoch=64, iter=23470/80000, loss=0.2048, lr=0.007316, batch_cost=1.2219, reader_cost=0.0001 | ETA 19:11:13 2020-12-15 16:42:11 [INFO] [TRAIN] epoch=64, iter=23480/80000, loss=0.2612, lr=0.007315, batch_cost=1.2765, reader_cost=0.0006 | ETA 20:02:28 2020-12-15 16:42:23 [INFO] [TRAIN] epoch=64, iter=23490/80000, loss=0.2426, lr=0.007314, batch_cost=1.1908, reader_cost=0.0010 | ETA 18:41:30 2020-12-15 16:42:34 [INFO] [TRAIN] epoch=64, iter=23500/80000, loss=0.1565, lr=0.007313, batch_cost=1.1745, reader_cost=0.0001 | ETA 18:26:00 2020-12-15 16:42:42 [INFO] [TRAIN] epoch=64, iter=23510/80000, loss=0.1829, lr=0.007311, batch_cost=0.7913, reader_cost=0.0001 | ETA 12:25:01 2020-12-15 16:42:53 [INFO] [TRAIN] epoch=64, iter=23520/80000, loss=0.2470, lr=0.007310, batch_cost=1.0506, reader_cost=0.0001 | ETA 16:29:00 2020-12-15 16:43:05 [INFO] [TRAIN] epoch=64, iter=23530/80000, loss=0.1913, lr=0.007309, batch_cost=1.2225, reader_cost=0.0001 | ETA 19:10:32 2020-12-15 16:43:17 [INFO] [TRAIN] epoch=64, iter=23540/80000, loss=0.1771, lr=0.007308, batch_cost=1.1757, reader_cost=0.0001 | ETA 18:26:19 2020-12-15 16:43:28 [INFO] [TRAIN] epoch=64, iter=23550/80000, loss=0.2065, lr=0.007307, batch_cost=1.1388, reader_cost=0.0036 | ETA 17:51:24 2020-12-15 16:43:41 [INFO] [TRAIN] epoch=64, iter=23560/80000, loss=0.1770, lr=0.007306, batch_cost=1.2841, reader_cost=0.0024 | ETA 20:07:52 2020-12-15 16:43:54 [INFO] [TRAIN] epoch=64, iter=23570/80000, loss=0.1598, lr=0.007304, batch_cost=1.2884, reader_cost=0.0014 | ETA 20:11:45 2020-12-15 16:44:05 [INFO] [TRAIN] epoch=64, iter=23580/80000, loss=0.6338, lr=0.007303, batch_cost=1.1145, reader_cost=0.0004 | ETA 17:28:02 2020-12-15 16:44:17 [INFO] [TRAIN] epoch=64, iter=23590/80000, loss=0.4236, lr=0.007302, batch_cost=1.2266, reader_cost=0.0002 | ETA 19:13:11 2020-12-15 16:44:30 [INFO] [TRAIN] epoch=64, iter=23600/80000, loss=0.3480, lr=0.007301, batch_cost=1.2718, reader_cost=0.0001 | ETA 19:55:27 2020-12-15 16:44:42 [INFO] [TRAIN] epoch=64, iter=23610/80000, loss=0.2460, lr=0.007300, batch_cost=1.2305, reader_cost=0.0019 | ETA 19:16:27 2020-12-15 16:44:54 [INFO] [TRAIN] epoch=64, iter=23620/80000, loss=0.3440, lr=0.007299, batch_cost=1.2143, reader_cost=0.0001 | ETA 19:01:01 2020-12-15 16:45:05 [INFO] [TRAIN] epoch=64, iter=23630/80000, loss=0.2609, lr=0.007297, batch_cost=1.0296, reader_cost=0.0001 | ETA 16:07:18 2020-12-15 16:45:17 [INFO] [TRAIN] epoch=64, iter=23640/80000, loss=0.2136, lr=0.007296, batch_cost=1.1949, reader_cost=0.0001 | ETA 18:42:22 2020-12-15 16:45:29 [INFO] [TRAIN] epoch=64, iter=23650/80000, loss=0.2433, lr=0.007295, batch_cost=1.2488, reader_cost=0.0001 | ETA 19:32:52 2020-12-15 16:45:42 [INFO] [TRAIN] epoch=64, iter=23660/80000, loss=0.2196, lr=0.007294, batch_cost=1.2664, reader_cost=0.0001 | ETA 19:49:11 2020-12-15 16:45:54 [INFO] [TRAIN] epoch=64, iter=23670/80000, loss=0.2088, lr=0.007293, batch_cost=1.2536, reader_cost=0.0028 | ETA 19:36:52 2020-12-15 16:46:07 [INFO] [TRAIN] epoch=64, iter=23680/80000, loss=0.2441, lr=0.007292, batch_cost=1.3034, reader_cost=0.0024 | ETA 20:23:25 2020-12-15 16:46:20 [INFO] [TRAIN] epoch=64, iter=23690/80000, loss=0.2671, lr=0.007290, batch_cost=1.2387, reader_cost=0.0001 | ETA 19:22:30 2020-12-15 16:46:32 [INFO] [TRAIN] epoch=64, iter=23700/80000, loss=0.2020, lr=0.007289, batch_cost=1.2079, reader_cost=0.0001 | ETA 18:53:24 2020-12-15 16:46:45 [INFO] [TRAIN] epoch=64, iter=23710/80000, loss=0.2228, lr=0.007288, batch_cost=1.2997, reader_cost=0.0013 | ETA 20:19:19 2020-12-15 16:46:56 [INFO] [TRAIN] epoch=64, iter=23720/80000, loss=0.3109, lr=0.007287, batch_cost=1.0911, reader_cost=0.0007 | ETA 17:03:27 2020-12-15 16:47:07 [INFO] [TRAIN] epoch=64, iter=23730/80000, loss=0.3048, lr=0.007286, batch_cost=1.1646, reader_cost=0.0005 | ETA 18:12:12 2020-12-15 16:47:15 [INFO] [TRAIN] epoch=64, iter=23740/80000, loss=0.1779, lr=0.007285, batch_cost=0.7919, reader_cost=0.0001 | ETA 12:22:31 2020-12-15 16:47:27 [INFO] [TRAIN] epoch=64, iter=23750/80000, loss=0.1941, lr=0.007283, batch_cost=1.1935, reader_cost=0.0025 | ETA 18:38:56 2020-12-15 16:47:38 [INFO] [TRAIN] epoch=64, iter=23760/80000, loss=0.4160, lr=0.007282, batch_cost=1.1027, reader_cost=0.0003 | ETA 17:13:35 2020-12-15 16:47:51 [INFO] [TRAIN] epoch=64, iter=23770/80000, loss=0.1809, lr=0.007281, batch_cost=1.2473, reader_cost=0.0001 | ETA 19:28:56 2020-12-15 16:48:04 [INFO] [TRAIN] epoch=64, iter=23780/80000, loss=0.1555, lr=0.007280, batch_cost=1.3182, reader_cost=0.0001 | ETA 20:35:08 2020-12-15 16:48:16 [INFO] [TRAIN] epoch=64, iter=23790/80000, loss=0.2655, lr=0.007279, batch_cost=1.2575, reader_cost=0.0001 | ETA 19:38:03 2020-12-15 16:48:28 [INFO] [TRAIN] epoch=64, iter=23800/80000, loss=0.2265, lr=0.007278, batch_cost=1.1961, reader_cost=0.0003 | ETA 18:40:20 2020-12-15 16:48:40 [INFO] [TRAIN] epoch=65, iter=23810/80000, loss=0.1825, lr=0.007276, batch_cost=1.1512, reader_cost=0.0694 | ETA 17:58:06 2020-12-15 16:48:53 [INFO] [TRAIN] epoch=65, iter=23820/80000, loss=0.2420, lr=0.007275, batch_cost=1.2820, reader_cost=0.0005 | ETA 20:00:24 2020-12-15 16:49:05 [INFO] [TRAIN] epoch=65, iter=23830/80000, loss=0.2208, lr=0.007274, batch_cost=1.1845, reader_cost=0.0043 | ETA 18:28:50 2020-12-15 16:49:16 [INFO] [TRAIN] epoch=65, iter=23840/80000, loss=0.1934, lr=0.007273, batch_cost=1.0974, reader_cost=0.0002 | ETA 17:07:12 2020-12-15 16:49:27 [INFO] [TRAIN] epoch=65, iter=23850/80000, loss=0.2457, lr=0.007272, batch_cost=1.1693, reader_cost=0.0024 | ETA 18:14:13 2020-12-15 16:49:40 [INFO] [TRAIN] epoch=65, iter=23860/80000, loss=0.4097, lr=0.007271, batch_cost=1.2635, reader_cost=0.0018 | ETA 19:42:10 2020-12-15 16:49:52 [INFO] [TRAIN] epoch=65, iter=23870/80000, loss=0.3472, lr=0.007269, batch_cost=1.1715, reader_cost=0.0001 | ETA 18:15:54 2020-12-15 16:50:03 [INFO] [TRAIN] epoch=65, iter=23880/80000, loss=0.2025, lr=0.007268, batch_cost=1.1563, reader_cost=0.0014 | ETA 18:01:33 2020-12-15 16:50:16 [INFO] [TRAIN] epoch=65, iter=23890/80000, loss=0.2806, lr=0.007267, batch_cost=1.2375, reader_cost=0.0001 | ETA 19:17:15 2020-12-15 16:50:28 [INFO] [TRAIN] epoch=65, iter=23900/80000, loss=0.2380, lr=0.007266, batch_cost=1.2800, reader_cost=0.0019 | ETA 19:56:48 2020-12-15 16:50:39 [INFO] [TRAIN] epoch=65, iter=23910/80000, loss=0.2033, lr=0.007265, batch_cost=1.0729, reader_cost=0.0024 | ETA 16:42:58 2020-12-15 16:50:51 [INFO] [TRAIN] epoch=65, iter=23920/80000, loss=0.1626, lr=0.007264, batch_cost=1.1805, reader_cost=0.0001 | ETA 18:23:22 2020-12-15 16:51:02 [INFO] [TRAIN] epoch=65, iter=23930/80000, loss=0.1965, lr=0.007262, batch_cost=1.1332, reader_cost=0.0023 | ETA 17:38:59 2020-12-15 16:51:14 [INFO] [TRAIN] epoch=65, iter=23940/80000, loss=0.1420, lr=0.007261, batch_cost=1.1500, reader_cost=0.0005 | ETA 17:54:28 2020-12-15 16:51:25 [INFO] [TRAIN] epoch=65, iter=23950/80000, loss=0.1769, lr=0.007260, batch_cost=1.1314, reader_cost=0.0005 | ETA 17:36:54 2020-12-15 16:51:37 [INFO] [TRAIN] epoch=65, iter=23960/80000, loss=0.2687, lr=0.007259, batch_cost=1.1633, reader_cost=0.0042 | ETA 18:06:32 2020-12-15 16:51:45 [INFO] [TRAIN] epoch=65, iter=23970/80000, loss=0.2532, lr=0.007258, batch_cost=0.7978, reader_cost=0.0001 | ETA 12:25:01 2020-12-15 16:51:56 [INFO] [TRAIN] epoch=65, iter=23980/80000, loss=0.2230, lr=0.007257, batch_cost=1.0980, reader_cost=0.0001 | ETA 17:05:10 2020-12-15 16:52:09 [INFO] [TRAIN] epoch=65, iter=23990/80000, loss=0.1953, lr=0.007255, batch_cost=1.3697, reader_cost=0.0019 | ETA 21:18:37 2020-12-15 16:52:22 [INFO] [TRAIN] epoch=65, iter=24000/80000, loss=0.1923, lr=0.007254, batch_cost=1.3114, reader_cost=0.0001 | ETA 20:23:58 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 16:52:23 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 16:53:13 [INFO] [EVAL] #Images=500 mIoU=0.7514 Acc=0.9559 Kappa=0.9427 2020-12-15 16:53:13 [INFO] [EVAL] Class IoU: [0.9802 0.84 0.9167 0.4628 0.5525 0.5755 0.6637 0.7526 0.9157 0.6061 0.945 0.7899 0.5856 0.943 0.76 0.8712 0.7657 0.6022 0.7481] 2020-12-15 16:53:13 [INFO] [EVAL] Class Acc: [0.992 0.8992 0.9495 0.8388 0.8013 0.7527 0.7634 0.8988 0.9469 0.9015 0.9682 0.8573 0.6782 0.9699 0.8563 0.9414 0.9309 0.7894 0.8586] 2020-12-15 16:53:20 [INFO] [EVAL] The model with the best validation mIoU (0.7571) was saved at iter 22000. 2020-12-15 16:53:32 [INFO] [TRAIN] epoch=65, iter=24010/80000, loss=0.1871, lr=0.007253, batch_cost=1.2298, reader_cost=0.0004 | ETA 19:07:35 2020-12-15 16:53:44 [INFO] [TRAIN] epoch=65, iter=24020/80000, loss=0.1369, lr=0.007252, batch_cost=1.1870, reader_cost=0.0020 | ETA 18:27:29 2020-12-15 16:53:56 [INFO] [TRAIN] epoch=65, iter=24030/80000, loss=0.1683, lr=0.007251, batch_cost=1.2205, reader_cost=0.0029 | ETA 18:58:30 2020-12-15 16:54:09 [INFO] [TRAIN] epoch=65, iter=24040/80000, loss=0.2988, lr=0.007250, batch_cost=1.3168, reader_cost=0.0001 | ETA 20:28:09 2020-12-15 16:54:22 [INFO] [TRAIN] epoch=65, iter=24050/80000, loss=0.2338, lr=0.007248, batch_cost=1.2468, reader_cost=0.0001 | ETA 19:22:36 2020-12-15 16:54:34 [INFO] [TRAIN] epoch=65, iter=24060/80000, loss=0.1675, lr=0.007247, batch_cost=1.1816, reader_cost=0.0009 | ETA 18:21:37 2020-12-15 16:54:47 [INFO] [TRAIN] epoch=65, iter=24070/80000, loss=0.1721, lr=0.007246, batch_cost=1.3044, reader_cost=0.0024 | ETA 20:15:57 2020-12-15 16:55:00 [INFO] [TRAIN] epoch=65, iter=24080/80000, loss=0.1763, lr=0.007245, batch_cost=1.3014, reader_cost=0.0017 | ETA 20:12:53 2020-12-15 16:55:13 [INFO] [TRAIN] epoch=65, iter=24090/80000, loss=0.1391, lr=0.007244, batch_cost=1.3147, reader_cost=0.0005 | ETA 20:25:07 2020-12-15 16:55:24 [INFO] [TRAIN] epoch=65, iter=24100/80000, loss=0.3960, lr=0.007243, batch_cost=1.1339, reader_cost=0.0011 | ETA 17:36:25 2020-12-15 16:55:35 [INFO] [TRAIN] epoch=65, iter=24110/80000, loss=0.1722, lr=0.007241, batch_cost=1.1344, reader_cost=0.0014 | ETA 17:36:41 2020-12-15 16:55:47 [INFO] [TRAIN] epoch=65, iter=24120/80000, loss=0.1889, lr=0.007240, batch_cost=1.1785, reader_cost=0.0001 | ETA 18:17:36 2020-12-15 16:56:00 [INFO] [TRAIN] epoch=65, iter=24130/80000, loss=0.1643, lr=0.007239, batch_cost=1.2329, reader_cost=0.0001 | ETA 19:08:01 2020-12-15 16:56:10 [INFO] [TRAIN] epoch=65, iter=24140/80000, loss=0.1819, lr=0.007238, batch_cost=0.9935, reader_cost=0.0024 | ETA 15:24:58 2020-12-15 16:56:18 [INFO] [TRAIN] epoch=65, iter=24150/80000, loss=0.2472, lr=0.007237, batch_cost=0.8121, reader_cost=0.0001 | ETA 12:35:56 2020-12-15 16:56:29 [INFO] [TRAIN] epoch=65, iter=24160/80000, loss=0.1680, lr=0.007236, batch_cost=1.1471, reader_cost=0.0008 | ETA 17:47:34 2020-12-15 16:56:43 [INFO] [TRAIN] epoch=65, iter=24170/80000, loss=0.1901, lr=0.007234, batch_cost=1.3393, reader_cost=0.0017 | ETA 20:46:11 2020-12-15 16:56:52 [INFO] [TRAIN] epoch=65, iter=24180/80000, loss=0.2014, lr=0.007233, batch_cost=0.9939, reader_cost=0.0004 | ETA 15:24:37 2020-12-15 16:57:06 [INFO] [TRAIN] epoch=66, iter=24190/80000, loss=0.1944, lr=0.007232, batch_cost=1.3116, reader_cost=0.0487 | ETA 20:20:00 2020-12-15 16:57:17 [INFO] [TRAIN] epoch=66, iter=24200/80000, loss=0.2131, lr=0.007231, batch_cost=1.1618, reader_cost=0.0001 | ETA 18:00:29 2020-12-15 16:57:28 [INFO] [TRAIN] epoch=66, iter=24210/80000, loss=0.2036, lr=0.007230, batch_cost=1.1282, reader_cost=0.0001 | ETA 17:29:02 2020-12-15 16:57:41 [INFO] [TRAIN] epoch=66, iter=24220/80000, loss=0.1644, lr=0.007229, batch_cost=1.2435, reader_cost=0.0001 | ETA 19:16:04 2020-12-15 16:57:54 [INFO] [TRAIN] epoch=66, iter=24230/80000, loss=0.1974, lr=0.007227, batch_cost=1.2910, reader_cost=0.0015 | ETA 20:00:00 2020-12-15 16:58:07 [INFO] [TRAIN] epoch=66, iter=24240/80000, loss=0.1864, lr=0.007226, batch_cost=1.2690, reader_cost=0.0001 | ETA 19:39:17 2020-12-15 16:58:19 [INFO] [TRAIN] epoch=66, iter=24250/80000, loss=0.2314, lr=0.007225, batch_cost=1.2809, reader_cost=0.0001 | ETA 19:50:08 2020-12-15 16:58:32 [INFO] [TRAIN] epoch=66, iter=24260/80000, loss=0.1984, lr=0.007224, batch_cost=1.2964, reader_cost=0.0006 | ETA 20:04:18 2020-12-15 16:58:43 [INFO] [TRAIN] epoch=66, iter=24270/80000, loss=0.1951, lr=0.007223, batch_cost=1.0387, reader_cost=0.0001 | ETA 16:04:45 2020-12-15 16:58:51 [INFO] [TRAIN] epoch=66, iter=24280/80000, loss=0.1442, lr=0.007222, batch_cost=0.8082, reader_cost=0.0001 | ETA 12:30:33 2020-12-15 16:58:59 [INFO] [TRAIN] epoch=66, iter=24290/80000, loss=0.2131, lr=0.007220, batch_cost=0.8343, reader_cost=0.0001 | ETA 12:54:41 2020-12-15 16:59:07 [INFO] [TRAIN] epoch=66, iter=24300/80000, loss=0.1980, lr=0.007219, batch_cost=0.8131, reader_cost=0.0001 | ETA 12:34:49 2020-12-15 16:59:15 [INFO] [TRAIN] epoch=66, iter=24310/80000, loss=0.1520, lr=0.007218, batch_cost=0.7901, reader_cost=0.0001 | ETA 12:13:19 2020-12-15 16:59:25 [INFO] [TRAIN] epoch=66, iter=24320/80000, loss=0.1813, lr=0.007217, batch_cost=0.9830, reader_cost=0.0001 | ETA 15:12:14 2020-12-15 16:59:38 [INFO] [TRAIN] epoch=66, iter=24330/80000, loss=0.1565, lr=0.007216, batch_cost=1.2561, reader_cost=0.0013 | ETA 19:25:26 2020-12-15 16:59:49 [INFO] [TRAIN] epoch=66, iter=24340/80000, loss=0.4161, lr=0.007215, batch_cost=1.1631, reader_cost=0.0020 | ETA 17:58:56 2020-12-15 17:00:01 [INFO] [TRAIN] epoch=66, iter=24350/80000, loss=0.2665, lr=0.007213, batch_cost=1.1933, reader_cost=0.0008 | ETA 18:26:44 2020-12-15 17:00:13 [INFO] [TRAIN] epoch=66, iter=24360/80000, loss=0.2229, lr=0.007212, batch_cost=1.2075, reader_cost=0.0013 | ETA 18:39:46 2020-12-15 17:00:25 [INFO] [TRAIN] epoch=66, iter=24370/80000, loss=0.2237, lr=0.007211, batch_cost=1.1539, reader_cost=0.0004 | ETA 17:49:53 2020-12-15 17:00:38 [INFO] [TRAIN] epoch=66, iter=24380/80000, loss=0.1317, lr=0.007210, batch_cost=1.3280, reader_cost=0.0014 | ETA 20:31:05 2020-12-15 17:00:50 [INFO] [TRAIN] epoch=66, iter=24390/80000, loss=0.2321, lr=0.007209, batch_cost=1.2052, reader_cost=0.0018 | ETA 18:37:03 2020-12-15 17:01:01 [INFO] [TRAIN] epoch=66, iter=24400/80000, loss=0.1489, lr=0.007208, batch_cost=1.1394, reader_cost=0.0001 | ETA 17:35:51 2020-12-15 17:01:13 [INFO] [TRAIN] epoch=66, iter=24410/80000, loss=0.2724, lr=0.007206, batch_cost=1.1688, reader_cost=0.0020 | ETA 18:02:51 2020-12-15 17:01:21 [INFO] [TRAIN] epoch=66, iter=24420/80000, loss=0.2254, lr=0.007205, batch_cost=0.8072, reader_cost=0.0001 | ETA 12:27:42 2020-12-15 17:01:32 [INFO] [TRAIN] epoch=66, iter=24430/80000, loss=0.1609, lr=0.007204, batch_cost=1.0487, reader_cost=0.0010 | ETA 16:11:18 2020-12-15 17:01:43 [INFO] [TRAIN] epoch=66, iter=24440/80000, loss=0.2147, lr=0.007203, batch_cost=1.1474, reader_cost=0.0014 | ETA 17:42:28 2020-12-15 17:01:55 [INFO] [TRAIN] epoch=66, iter=24450/80000, loss=0.3787, lr=0.007202, batch_cost=1.1464, reader_cost=0.0017 | ETA 17:41:21 2020-12-15 17:02:06 [INFO] [TRAIN] epoch=66, iter=24460/80000, loss=0.3017, lr=0.007201, batch_cost=1.1578, reader_cost=0.0001 | ETA 17:51:45 2020-12-15 17:02:17 [INFO] [TRAIN] epoch=66, iter=24470/80000, loss=0.2080, lr=0.007199, batch_cost=1.1032, reader_cost=0.0001 | ETA 17:01:02 2020-12-15 17:02:30 [INFO] [TRAIN] epoch=66, iter=24480/80000, loss=0.3118, lr=0.007198, batch_cost=1.2422, reader_cost=0.0005 | ETA 19:09:25 2020-12-15 17:02:42 [INFO] [TRAIN] epoch=66, iter=24490/80000, loss=0.2013, lr=0.007197, batch_cost=1.2228, reader_cost=0.0008 | ETA 18:51:16 2020-12-15 17:02:55 [INFO] [TRAIN] epoch=66, iter=24500/80000, loss=0.1445, lr=0.007196, batch_cost=1.2902, reader_cost=0.0001 | ETA 19:53:23 2020-12-15 17:03:07 [INFO] [TRAIN] epoch=66, iter=24510/80000, loss=0.2740, lr=0.007195, batch_cost=1.1766, reader_cost=0.0007 | ETA 18:08:11 2020-12-15 17:03:18 [INFO] [TRAIN] epoch=66, iter=24520/80000, loss=0.1460, lr=0.007194, batch_cost=1.1811, reader_cost=0.0022 | ETA 18:12:06 2020-12-15 17:03:30 [INFO] [TRAIN] epoch=66, iter=24530/80000, loss=0.1931, lr=0.007192, batch_cost=1.1224, reader_cost=0.0007 | ETA 17:17:39 2020-12-15 17:03:42 [INFO] [TRAIN] epoch=66, iter=24540/80000, loss=0.1978, lr=0.007191, batch_cost=1.2788, reader_cost=0.0017 | ETA 19:42:01 2020-12-15 17:03:54 [INFO] [TRAIN] epoch=66, iter=24550/80000, loss=0.1751, lr=0.007190, batch_cost=1.1140, reader_cost=0.0001 | ETA 17:09:32 2020-12-15 17:04:06 [INFO] [TRAIN] epoch=67, iter=24560/80000, loss=0.2409, lr=0.007189, batch_cost=1.2284, reader_cost=0.0682 | ETA 18:55:02 2020-12-15 17:04:19 [INFO] [TRAIN] epoch=67, iter=24570/80000, loss=0.2030, lr=0.007188, batch_cost=1.3499, reader_cost=0.0006 | ETA 20:47:04 2020-12-15 17:04:32 [INFO] [TRAIN] epoch=67, iter=24580/80000, loss=0.1594, lr=0.007187, batch_cost=1.2728, reader_cost=0.0005 | ETA 19:35:39 2020-12-15 17:04:44 [INFO] [TRAIN] epoch=67, iter=24590/80000, loss=0.1838, lr=0.007185, batch_cost=1.2417, reader_cost=0.0001 | ETA 19:06:43 2020-12-15 17:04:57 [INFO] [TRAIN] epoch=67, iter=24600/80000, loss=0.3102, lr=0.007184, batch_cost=1.2409, reader_cost=0.0008 | ETA 19:05:43 2020-12-15 17:05:10 [INFO] [TRAIN] epoch=67, iter=24610/80000, loss=0.1468, lr=0.007183, batch_cost=1.3115, reader_cost=0.0016 | ETA 20:10:45 2020-12-15 17:05:21 [INFO] [TRAIN] epoch=67, iter=24620/80000, loss=0.1750, lr=0.007182, batch_cost=1.1528, reader_cost=0.0001 | ETA 17:44:02 2020-12-15 17:05:34 [INFO] [TRAIN] epoch=67, iter=24630/80000, loss=0.2785, lr=0.007181, batch_cost=1.2566, reader_cost=0.0007 | ETA 19:19:35 2020-12-15 17:05:46 [INFO] [TRAIN] epoch=67, iter=24640/80000, loss=0.1716, lr=0.007180, batch_cost=1.1683, reader_cost=0.0001 | ETA 17:57:57 2020-12-15 17:05:54 [INFO] [TRAIN] epoch=67, iter=24650/80000, loss=0.1775, lr=0.007178, batch_cost=0.8128, reader_cost=0.0001 | ETA 12:29:51 2020-12-15 17:06:04 [INFO] [TRAIN] epoch=67, iter=24660/80000, loss=0.2046, lr=0.007177, batch_cost=1.0381, reader_cost=0.0001 | ETA 15:57:27 2020-12-15 17:06:17 [INFO] [TRAIN] epoch=67, iter=24670/80000, loss=0.2258, lr=0.007176, batch_cost=1.2844, reader_cost=0.0001 | ETA 19:44:24 2020-12-15 17:06:30 [INFO] [TRAIN] epoch=67, iter=24680/80000, loss=0.1682, lr=0.007175, batch_cost=1.2694, reader_cost=0.0001 | ETA 19:30:23 2020-12-15 17:06:41 [INFO] [TRAIN] epoch=67, iter=24690/80000, loss=0.1598, lr=0.007174, batch_cost=1.1343, reader_cost=0.0001 | ETA 17:25:36 2020-12-15 17:06:53 [INFO] [TRAIN] epoch=67, iter=24700/80000, loss=0.1749, lr=0.007173, batch_cost=1.1692, reader_cost=0.0019 | ETA 17:57:39 2020-12-15 17:07:04 [INFO] [TRAIN] epoch=67, iter=24710/80000, loss=0.2077, lr=0.007171, batch_cost=1.1512, reader_cost=0.0001 | ETA 17:40:51 2020-12-15 17:07:17 [INFO] [TRAIN] epoch=67, iter=24720/80000, loss=0.2411, lr=0.007170, batch_cost=1.2629, reader_cost=0.0012 | ETA 19:23:33 2020-12-15 17:07:29 [INFO] [TRAIN] epoch=67, iter=24730/80000, loss=0.1704, lr=0.007169, batch_cost=1.1708, reader_cost=0.0033 | ETA 17:58:28 2020-12-15 17:07:41 [INFO] [TRAIN] epoch=67, iter=24740/80000, loss=0.1931, lr=0.007168, batch_cost=1.2478, reader_cost=0.0001 | ETA 19:09:14 2020-12-15 17:07:53 [INFO] [TRAIN] epoch=67, iter=24750/80000, loss=0.3241, lr=0.007167, batch_cost=1.1485, reader_cost=0.0002 | ETA 17:37:36 2020-12-15 17:08:04 [INFO] [TRAIN] epoch=67, iter=24760/80000, loss=0.1937, lr=0.007166, batch_cost=1.1120, reader_cost=0.0001 | ETA 17:03:46 2020-12-15 17:08:16 [INFO] [TRAIN] epoch=67, iter=24770/80000, loss=0.1770, lr=0.007164, batch_cost=1.2451, reader_cost=0.0028 | ETA 19:06:04 2020-12-15 17:08:29 [INFO] [TRAIN] epoch=67, iter=24780/80000, loss=0.1619, lr=0.007163, batch_cost=1.2902, reader_cost=0.0002 | ETA 19:47:24 2020-12-15 17:08:42 [INFO] [TRAIN] epoch=67, iter=24790/80000, loss=0.2135, lr=0.007162, batch_cost=1.2916, reader_cost=0.0001 | ETA 19:48:29 2020-12-15 17:08:54 [INFO] [TRAIN] epoch=67, iter=24800/80000, loss=0.1430, lr=0.007161, batch_cost=1.2356, reader_cost=0.0008 | ETA 18:56:44 2020-12-15 17:09:06 [INFO] [TRAIN] epoch=67, iter=24810/80000, loss=0.2310, lr=0.007160, batch_cost=1.1789, reader_cost=0.0018 | ETA 18:04:22 2020-12-15 17:09:18 [INFO] [TRAIN] epoch=67, iter=24820/80000, loss=0.2142, lr=0.007159, batch_cost=1.1734, reader_cost=0.0006 | ETA 17:59:10 2020-12-15 17:09:30 [INFO] [TRAIN] epoch=67, iter=24830/80000, loss=0.2220, lr=0.007157, batch_cost=1.2078, reader_cost=0.0001 | ETA 18:30:36 2020-12-15 17:09:42 [INFO] [TRAIN] epoch=67, iter=24840/80000, loss=0.3257, lr=0.007156, batch_cost=1.2052, reader_cost=0.0001 | ETA 18:28:00 2020-12-15 17:09:55 [INFO] [TRAIN] epoch=67, iter=24850/80000, loss=0.2355, lr=0.007155, batch_cost=1.2672, reader_cost=0.0001 | ETA 19:24:46 2020-12-15 17:10:07 [INFO] [TRAIN] epoch=67, iter=24860/80000, loss=0.2740, lr=0.007154, batch_cost=1.2300, reader_cost=0.0002 | ETA 18:50:23 2020-12-15 17:10:18 [INFO] [TRAIN] epoch=67, iter=24870/80000, loss=0.2109, lr=0.007153, batch_cost=1.0622, reader_cost=0.0001 | ETA 16:15:56 2020-12-15 17:10:26 [INFO] [TRAIN] epoch=67, iter=24880/80000, loss=0.1839, lr=0.007152, batch_cost=0.8719, reader_cost=0.0001 | ETA 13:21:01 2020-12-15 17:10:38 [INFO] [TRAIN] epoch=67, iter=24890/80000, loss=0.3561, lr=0.007150, batch_cost=1.2050, reader_cost=0.0013 | ETA 18:26:45 2020-12-15 17:10:51 [INFO] [TRAIN] epoch=67, iter=24900/80000, loss=0.2933, lr=0.007149, batch_cost=1.2218, reader_cost=0.0005 | ETA 18:41:59 2020-12-15 17:11:03 [INFO] [TRAIN] epoch=67, iter=24910/80000, loss=0.2574, lr=0.007148, batch_cost=1.2451, reader_cost=0.0007 | ETA 19:03:11 2020-12-15 17:11:15 [INFO] [TRAIN] epoch=67, iter=24920/80000, loss=0.2429, lr=0.007147, batch_cost=1.1426, reader_cost=0.0017 | ETA 17:28:52 2020-12-15 17:11:26 [INFO] [TRAIN] epoch=68, iter=24930/80000, loss=0.1890, lr=0.007146, batch_cost=1.1352, reader_cost=0.0693 | ETA 17:21:57 2020-12-15 17:11:39 [INFO] [TRAIN] epoch=68, iter=24940/80000, loss=0.2122, lr=0.007145, batch_cost=1.2990, reader_cost=0.0006 | ETA 19:52:03 2020-12-15 17:11:51 [INFO] [TRAIN] epoch=68, iter=24950/80000, loss=0.1840, lr=0.007143, batch_cost=1.2322, reader_cost=0.0001 | ETA 18:50:32 2020-12-15 17:12:03 [INFO] [TRAIN] epoch=68, iter=24960/80000, loss=0.2510, lr=0.007142, batch_cost=1.1672, reader_cost=0.0006 | ETA 17:50:44 2020-12-15 17:12:15 [INFO] [TRAIN] epoch=68, iter=24970/80000, loss=0.2338, lr=0.007141, batch_cost=1.1713, reader_cost=0.0049 | ETA 17:54:14 2020-12-15 17:12:27 [INFO] [TRAIN] epoch=68, iter=24980/80000, loss=0.2289, lr=0.007140, batch_cost=1.2336, reader_cost=0.0044 | ETA 18:51:15 2020-12-15 17:12:39 [INFO] [TRAIN] epoch=68, iter=24990/80000, loss=0.2575, lr=0.007139, batch_cost=1.2226, reader_cost=0.0003 | ETA 18:40:52 2020-12-15 17:12:52 [INFO] [TRAIN] epoch=68, iter=25000/80000, loss=0.1930, lr=0.007138, batch_cost=1.3208, reader_cost=0.0001 | ETA 20:10:44 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 17:12:52 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 17:13:43 [INFO] [EVAL] #Images=500 mIoU=0.7278 Acc=0.9534 Kappa=0.9395 2020-12-15 17:13:43 [INFO] [EVAL] Class IoU: [0.9776 0.8244 0.9123 0.4223 0.5264 0.5765 0.6649 0.7469 0.9161 0.6211 0.9377 0.7904 0.5664 0.9392 0.7708 0.7817 0.612 0.4988 0.7427] 2020-12-15 17:13:43 [INFO] [EVAL] Class Acc: [0.9885 0.9052 0.9467 0.8104 0.8072 0.7261 0.8336 0.8594 0.9481 0.8508 0.9673 0.8591 0.7862 0.9658 0.9364 0.9269 0.6699 0.8482 0.8459] 2020-12-15 17:13:50 [INFO] [EVAL] The model with the best validation mIoU (0.7571) was saved at iter 22000. 2020-12-15 17:14:02 [INFO] [TRAIN] epoch=68, iter=25010/80000, loss=0.1576, lr=0.007136, batch_cost=1.1926, reader_cost=0.0001 | ETA 18:12:58 2020-12-15 17:14:15 [INFO] [TRAIN] epoch=68, iter=25020/80000, loss=0.2068, lr=0.007135, batch_cost=1.2887, reader_cost=0.0035 | ETA 19:40:54 2020-12-15 17:14:28 [INFO] [TRAIN] epoch=68, iter=25030/80000, loss=0.1749, lr=0.007134, batch_cost=1.2904, reader_cost=0.0022 | ETA 19:42:13 2020-12-15 17:14:40 [INFO] [TRAIN] epoch=68, iter=25040/80000, loss=0.2022, lr=0.007133, batch_cost=1.2507, reader_cost=0.0002 | ETA 19:05:41 2020-12-15 17:14:49 [INFO] [TRAIN] epoch=68, iter=25050/80000, loss=0.1493, lr=0.007132, batch_cost=0.9033, reader_cost=0.0002 | ETA 13:47:14 2020-12-15 17:14:59 [INFO] [TRAIN] epoch=68, iter=25060/80000, loss=0.2646, lr=0.007131, batch_cost=0.9434, reader_cost=0.0001 | ETA 14:23:52 2020-12-15 17:15:10 [INFO] [TRAIN] epoch=68, iter=25070/80000, loss=0.1945, lr=0.007129, batch_cost=1.1265, reader_cost=0.0003 | ETA 17:11:19 2020-12-15 17:15:22 [INFO] [TRAIN] epoch=68, iter=25080/80000, loss=0.1768, lr=0.007128, batch_cost=1.2496, reader_cost=0.0020 | ETA 19:03:45 2020-12-15 17:15:33 [INFO] [TRAIN] epoch=68, iter=25090/80000, loss=0.2658, lr=0.007127, batch_cost=1.0858, reader_cost=0.0017 | ETA 16:33:42 2020-12-15 17:15:45 [INFO] [TRAIN] epoch=68, iter=25100/80000, loss=0.2222, lr=0.007126, batch_cost=1.1641, reader_cost=0.0009 | ETA 17:45:07 2020-12-15 17:15:57 [INFO] [TRAIN] epoch=68, iter=25110/80000, loss=0.2055, lr=0.007125, batch_cost=1.2661, reader_cost=0.0019 | ETA 19:18:16 2020-12-15 17:16:10 [INFO] [TRAIN] epoch=68, iter=25120/80000, loss=0.3184, lr=0.007124, batch_cost=1.2589, reader_cost=0.0001 | ETA 19:11:30 2020-12-15 17:16:22 [INFO] [TRAIN] epoch=68, iter=25130/80000, loss=0.2145, lr=0.007122, batch_cost=1.2309, reader_cost=0.0018 | ETA 18:45:38 2020-12-15 17:16:35 [INFO] [TRAIN] epoch=68, iter=25140/80000, loss=0.2819, lr=0.007121, batch_cost=1.2723, reader_cost=0.0046 | ETA 19:23:19 2020-12-15 17:16:48 [INFO] [TRAIN] epoch=68, iter=25150/80000, loss=0.2691, lr=0.007120, batch_cost=1.2929, reader_cost=0.0024 | ETA 19:41:55 2020-12-15 17:17:00 [INFO] [TRAIN] epoch=68, iter=25160/80000, loss=0.2118, lr=0.007119, batch_cost=1.1535, reader_cost=0.0029 | ETA 17:34:17 2020-12-15 17:17:10 [INFO] [TRAIN] epoch=68, iter=25170/80000, loss=0.2345, lr=0.007118, batch_cost=1.0659, reader_cost=0.0002 | ETA 16:14:03 2020-12-15 17:17:23 [INFO] [TRAIN] epoch=68, iter=25180/80000, loss=0.1627, lr=0.007117, batch_cost=1.2574, reader_cost=0.0001 | ETA 19:08:48 2020-12-15 17:17:35 [INFO] [TRAIN] epoch=68, iter=25190/80000, loss=0.2292, lr=0.007115, batch_cost=1.1729, reader_cost=0.0014 | ETA 17:51:28 2020-12-15 17:17:46 [INFO] [TRAIN] epoch=68, iter=25200/80000, loss=0.1745, lr=0.007114, batch_cost=1.1947, reader_cost=0.0017 | ETA 18:11:09 2020-12-15 17:17:59 [INFO] [TRAIN] epoch=68, iter=25210/80000, loss=0.1231, lr=0.007113, batch_cost=1.2804, reader_cost=0.0002 | ETA 19:29:12 2020-12-15 17:18:11 [INFO] [TRAIN] epoch=68, iter=25220/80000, loss=0.3690, lr=0.007112, batch_cost=1.2019, reader_cost=0.0021 | ETA 18:17:19 2020-12-15 17:18:23 [INFO] [TRAIN] epoch=68, iter=25230/80000, loss=0.1931, lr=0.007111, batch_cost=1.2062, reader_cost=0.0085 | ETA 18:21:06 2020-12-15 17:18:35 [INFO] [TRAIN] epoch=68, iter=25240/80000, loss=0.1995, lr=0.007110, batch_cost=1.1521, reader_cost=0.0005 | ETA 17:31:31 2020-12-15 17:18:47 [INFO] [TRAIN] epoch=68, iter=25250/80000, loss=0.1894, lr=0.007108, batch_cost=1.2183, reader_cost=0.0013 | ETA 18:31:39 2020-12-15 17:18:59 [INFO] [TRAIN] epoch=68, iter=25260/80000, loss=0.1958, lr=0.007107, batch_cost=1.1635, reader_cost=0.0001 | ETA 17:41:27 2020-12-15 17:19:11 [INFO] [TRAIN] epoch=68, iter=25270/80000, loss=0.1750, lr=0.007106, batch_cost=1.2243, reader_cost=0.0006 | ETA 18:36:44 2020-12-15 17:19:19 [INFO] [TRAIN] epoch=68, iter=25280/80000, loss=0.5162, lr=0.007105, batch_cost=0.7972, reader_cost=0.0001 | ETA 12:07:02 2020-12-15 17:19:30 [INFO] [TRAIN] epoch=68, iter=25290/80000, loss=0.2415, lr=0.007104, batch_cost=1.0691, reader_cost=0.0001 | ETA 16:14:50 2020-12-15 17:19:42 [INFO] [TRAIN] epoch=69, iter=25300/80000, loss=0.1524, lr=0.007103, batch_cost=1.1957, reader_cost=0.0606 | ETA 18:10:02 2020-12-15 17:19:52 [INFO] [TRAIN] epoch=69, iter=25310/80000, loss=0.2586, lr=0.007101, batch_cost=1.0478, reader_cost=0.0001 | ETA 15:55:03 2020-12-15 17:20:05 [INFO] [TRAIN] epoch=69, iter=25320/80000, loss=0.4327, lr=0.007100, batch_cost=1.2516, reader_cost=0.0001 | ETA 19:00:36 2020-12-15 17:20:16 [INFO] [TRAIN] epoch=69, iter=25330/80000, loss=0.2173, lr=0.007099, batch_cost=1.1911, reader_cost=0.0009 | ETA 18:05:17 2020-12-15 17:20:29 [INFO] [TRAIN] epoch=69, iter=25340/80000, loss=0.1659, lr=0.007098, batch_cost=1.2707, reader_cost=0.0032 | ETA 19:17:35 2020-12-15 17:20:42 [INFO] [TRAIN] epoch=69, iter=25350/80000, loss=0.2217, lr=0.007097, batch_cost=1.2854, reader_cost=0.0007 | ETA 19:30:48 2020-12-15 17:20:55 [INFO] [TRAIN] epoch=69, iter=25360/80000, loss=0.2190, lr=0.007096, batch_cost=1.3005, reader_cost=0.0005 | ETA 19:44:16 2020-12-15 17:21:07 [INFO] [TRAIN] epoch=69, iter=25370/80000, loss=0.1974, lr=0.007094, batch_cost=1.1487, reader_cost=0.0005 | ETA 17:25:54 2020-12-15 17:21:18 [INFO] [TRAIN] epoch=69, iter=25380/80000, loss=0.1599, lr=0.007093, batch_cost=1.1803, reader_cost=0.0008 | ETA 17:54:28 2020-12-15 17:21:30 [INFO] [TRAIN] epoch=69, iter=25390/80000, loss=0.1659, lr=0.007092, batch_cost=1.2101, reader_cost=0.0018 | ETA 18:21:24 2020-12-15 17:21:43 [INFO] [TRAIN] epoch=69, iter=25400/80000, loss=0.1546, lr=0.007091, batch_cost=1.2954, reader_cost=0.0041 | ETA 19:38:47 2020-12-15 17:21:56 [INFO] [TRAIN] epoch=69, iter=25410/80000, loss=0.2122, lr=0.007090, batch_cost=1.2734, reader_cost=0.0001 | ETA 19:18:37 2020-12-15 17:22:08 [INFO] [TRAIN] epoch=69, iter=25420/80000, loss=0.1530, lr=0.007089, batch_cost=1.1824, reader_cost=0.0005 | ETA 17:55:35 2020-12-15 17:22:20 [INFO] [TRAIN] epoch=69, iter=25430/80000, loss=0.1993, lr=0.007087, batch_cost=1.2318, reader_cost=0.0019 | ETA 18:40:20 2020-12-15 17:22:32 [INFO] [TRAIN] epoch=69, iter=25440/80000, loss=0.1499, lr=0.007086, batch_cost=1.2170, reader_cost=0.0001 | ETA 18:26:39 2020-12-15 17:22:45 [INFO] [TRAIN] epoch=69, iter=25450/80000, loss=0.1916, lr=0.007085, batch_cost=1.2255, reader_cost=0.0006 | ETA 18:34:10 2020-12-15 17:22:56 [INFO] [TRAIN] epoch=69, iter=25460/80000, loss=0.1988, lr=0.007084, batch_cost=1.1085, reader_cost=0.0001 | ETA 16:47:39 2020-12-15 17:23:07 [INFO] [TRAIN] epoch=69, iter=25470/80000, loss=0.2318, lr=0.007083, batch_cost=1.1293, reader_cost=0.0001 | ETA 17:06:21 2020-12-15 17:23:19 [INFO] [TRAIN] epoch=69, iter=25480/80000, loss=0.2351, lr=0.007082, batch_cost=1.2105, reader_cost=0.0002 | ETA 18:19:55 2020-12-15 17:23:28 [INFO] [TRAIN] epoch=69, iter=25490/80000, loss=0.1961, lr=0.007080, batch_cost=0.8645, reader_cost=0.0001 | ETA 13:05:26 2020-12-15 17:23:36 [INFO] [TRAIN] epoch=69, iter=25500/80000, loss=0.2348, lr=0.007079, batch_cost=0.8043, reader_cost=0.0001 | ETA 12:10:33 2020-12-15 17:23:44 [INFO] [TRAIN] epoch=69, iter=25510/80000, loss=0.1952, lr=0.007078, batch_cost=0.8044, reader_cost=0.0001 | ETA 12:10:32 2020-12-15 17:23:52 [INFO] [TRAIN] epoch=69, iter=25520/80000, loss=0.2272, lr=0.007077, batch_cost=0.8029, reader_cost=0.0001 | ETA 12:09:04 2020-12-15 17:24:00 [INFO] [TRAIN] epoch=69, iter=25530/80000, loss=0.2561, lr=0.007076, batch_cost=0.8074, reader_cost=0.0001 | ETA 12:12:57 2020-12-15 17:24:11 [INFO] [TRAIN] epoch=69, iter=25540/80000, loss=0.1640, lr=0.007075, batch_cost=1.1244, reader_cost=0.0024 | ETA 17:00:35 2020-12-15 17:24:20 [INFO] [TRAIN] epoch=69, iter=25550/80000, loss=0.1655, lr=0.007073, batch_cost=0.9139, reader_cost=0.0015 | ETA 13:49:24 2020-12-15 17:24:30 [INFO] [TRAIN] epoch=69, iter=25560/80000, loss=0.1633, lr=0.007072, batch_cost=0.9288, reader_cost=0.0005 | ETA 14:02:44 2020-12-15 17:24:42 [INFO] [TRAIN] epoch=69, iter=25570/80000, loss=0.1756, lr=0.007071, batch_cost=1.1809, reader_cost=0.0031 | ETA 17:51:14 2020-12-15 17:24:54 [INFO] [TRAIN] epoch=69, iter=25580/80000, loss=0.3294, lr=0.007070, batch_cost=1.2630, reader_cost=0.0021 | ETA 19:05:32 2020-12-15 17:25:06 [INFO] [TRAIN] epoch=69, iter=25590/80000, loss=0.2045, lr=0.007069, batch_cost=1.1870, reader_cost=0.0001 | ETA 17:56:22 2020-12-15 17:25:18 [INFO] [TRAIN] epoch=69, iter=25600/80000, loss=0.1308, lr=0.007067, batch_cost=1.2094, reader_cost=0.0020 | ETA 18:16:29 2020-12-15 17:25:31 [INFO] [TRAIN] epoch=69, iter=25610/80000, loss=0.2402, lr=0.007066, batch_cost=1.2487, reader_cost=0.0001 | ETA 18:51:57 2020-12-15 17:25:42 [INFO] [TRAIN] epoch=69, iter=25620/80000, loss=0.3212, lr=0.007065, batch_cost=1.1723, reader_cost=0.0024 | ETA 17:42:28 2020-12-15 17:25:55 [INFO] [TRAIN] epoch=69, iter=25630/80000, loss=0.2141, lr=0.007064, batch_cost=1.2460, reader_cost=0.0005 | ETA 18:49:03 2020-12-15 17:26:08 [INFO] [TRAIN] epoch=69, iter=25640/80000, loss=0.2251, lr=0.007063, batch_cost=1.2839, reader_cost=0.0001 | ETA 19:23:10 2020-12-15 17:26:19 [INFO] [TRAIN] epoch=69, iter=25650/80000, loss=0.1698, lr=0.007062, batch_cost=1.1471, reader_cost=0.0010 | ETA 17:19:05 2020-12-15 17:26:32 [INFO] [TRAIN] epoch=69, iter=25660/80000, loss=0.1814, lr=0.007060, batch_cost=1.2422, reader_cost=0.0046 | ETA 18:45:00 2020-12-15 17:26:43 [INFO] [TRAIN] epoch=70, iter=25670/80000, loss=0.3167, lr=0.007059, batch_cost=1.1146, reader_cost=0.0607 | ETA 16:49:13 2020-12-15 17:26:55 [INFO] [TRAIN] epoch=70, iter=25680/80000, loss=0.2252, lr=0.007058, batch_cost=1.1950, reader_cost=0.0010 | ETA 18:01:54 2020-12-15 17:27:06 [INFO] [TRAIN] epoch=70, iter=25690/80000, loss=0.2384, lr=0.007057, batch_cost=1.1832, reader_cost=0.0001 | ETA 17:50:58 2020-12-15 17:27:18 [INFO] [TRAIN] epoch=70, iter=25700/80000, loss=0.2476, lr=0.007056, batch_cost=1.1820, reader_cost=0.0001 | ETA 17:49:42 2020-12-15 17:27:32 [INFO] [TRAIN] epoch=70, iter=25710/80000, loss=0.1646, lr=0.007055, batch_cost=1.3389, reader_cost=0.0001 | ETA 20:11:30 2020-12-15 17:27:44 [INFO] [TRAIN] epoch=70, iter=25720/80000, loss=0.1756, lr=0.007053, batch_cost=1.2731, reader_cost=0.0002 | ETA 19:11:45 2020-12-15 17:27:57 [INFO] [TRAIN] epoch=70, iter=25730/80000, loss=0.1226, lr=0.007052, batch_cost=1.2689, reader_cost=0.0001 | ETA 19:07:40 2020-12-15 17:28:09 [INFO] [TRAIN] epoch=70, iter=25740/80000, loss=0.1702, lr=0.007051, batch_cost=1.2008, reader_cost=0.0024 | ETA 18:05:55 2020-12-15 17:28:21 [INFO] [TRAIN] epoch=70, iter=25750/80000, loss=0.2063, lr=0.007050, batch_cost=1.2068, reader_cost=0.0002 | ETA 18:11:07 2020-12-15 17:28:33 [INFO] [TRAIN] epoch=70, iter=25760/80000, loss=0.1652, lr=0.007049, batch_cost=1.1730, reader_cost=0.0001 | ETA 17:40:22 2020-12-15 17:28:45 [INFO] [TRAIN] epoch=70, iter=25770/80000, loss=0.1881, lr=0.007048, batch_cost=1.1729, reader_cost=0.0009 | ETA 17:40:04 2020-12-15 17:28:53 [INFO] [TRAIN] epoch=70, iter=25780/80000, loss=0.1884, lr=0.007046, batch_cost=0.8136, reader_cost=0.0001 | ETA 12:15:11 2020-12-15 17:29:03 [INFO] [TRAIN] epoch=70, iter=25790/80000, loss=0.1796, lr=0.007045, batch_cost=1.0511, reader_cost=0.0001 | ETA 15:49:41 2020-12-15 17:29:15 [INFO] [TRAIN] epoch=70, iter=25800/80000, loss=0.2326, lr=0.007044, batch_cost=1.2179, reader_cost=0.0014 | ETA 18:20:08 2020-12-15 17:29:27 [INFO] [TRAIN] epoch=70, iter=25810/80000, loss=0.1734, lr=0.007043, batch_cost=1.1540, reader_cost=0.0001 | ETA 17:22:15 2020-12-15 17:29:39 [INFO] [TRAIN] epoch=70, iter=25820/80000, loss=0.2104, lr=0.007042, batch_cost=1.1647, reader_cost=0.0022 | ETA 17:31:40 2020-12-15 17:29:51 [INFO] [TRAIN] epoch=70, iter=25830/80000, loss=0.2525, lr=0.007041, batch_cost=1.2737, reader_cost=0.0007 | ETA 19:09:54 2020-12-15 17:30:04 [INFO] [TRAIN] epoch=70, iter=25840/80000, loss=0.1621, lr=0.007039, batch_cost=1.2859, reader_cost=0.0006 | ETA 19:20:46 2020-12-15 17:30:17 [INFO] [TRAIN] epoch=70, iter=25850/80000, loss=0.1759, lr=0.007038, batch_cost=1.2517, reader_cost=0.0042 | ETA 18:49:37 2020-12-15 17:30:29 [INFO] [TRAIN] epoch=70, iter=25860/80000, loss=0.1946, lr=0.007037, batch_cost=1.2116, reader_cost=0.0007 | ETA 18:13:18 2020-12-15 17:30:42 [INFO] [TRAIN] epoch=70, iter=25870/80000, loss=0.2650, lr=0.007036, batch_cost=1.2838, reader_cost=0.0060 | ETA 19:18:09 2020-12-15 17:30:55 [INFO] [TRAIN] epoch=70, iter=25880/80000, loss=0.1824, lr=0.007035, batch_cost=1.2859, reader_cost=0.0018 | ETA 19:19:51 2020-12-15 17:31:07 [INFO] [TRAIN] epoch=70, iter=25890/80000, loss=0.2231, lr=0.007034, batch_cost=1.2602, reader_cost=0.0001 | ETA 18:56:31 2020-12-15 17:31:19 [INFO] [TRAIN] epoch=70, iter=25900/80000, loss=0.2427, lr=0.007032, batch_cost=1.1445, reader_cost=0.0009 | ETA 17:11:57 2020-12-15 17:31:31 [INFO] [TRAIN] epoch=70, iter=25910/80000, loss=0.1990, lr=0.007031, batch_cost=1.2243, reader_cost=0.0001 | ETA 18:23:44 2020-12-15 17:31:44 [INFO] [TRAIN] epoch=70, iter=25920/80000, loss=0.1797, lr=0.007030, batch_cost=1.2915, reader_cost=0.0029 | ETA 19:24:06 2020-12-15 17:31:58 [INFO] [TRAIN] epoch=70, iter=25930/80000, loss=0.2137, lr=0.007029, batch_cost=1.4133, reader_cost=0.0006 | ETA 21:13:38 2020-12-15 17:32:10 [INFO] [TRAIN] epoch=70, iter=25940/80000, loss=0.1638, lr=0.007028, batch_cost=1.2401, reader_cost=0.0012 | ETA 18:37:20 2020-12-15 17:32:23 [INFO] [TRAIN] epoch=70, iter=25950/80000, loss=0.1994, lr=0.007027, batch_cost=1.2479, reader_cost=0.0009 | ETA 18:44:09 2020-12-15 17:32:36 [INFO] [TRAIN] epoch=70, iter=25960/80000, loss=0.2573, lr=0.007025, batch_cost=1.2858, reader_cost=0.0001 | ETA 19:18:02 2020-12-15 17:32:48 [INFO] [TRAIN] epoch=70, iter=25970/80000, loss=0.1654, lr=0.007024, batch_cost=1.2334, reader_cost=0.0014 | ETA 18:30:40 2020-12-15 17:33:01 [INFO] [TRAIN] epoch=70, iter=25980/80000, loss=0.1865, lr=0.007023, batch_cost=1.2573, reader_cost=0.0001 | ETA 18:51:57 2020-12-15 17:33:13 [INFO] [TRAIN] epoch=70, iter=25990/80000, loss=0.2158, lr=0.007022, batch_cost=1.2081, reader_cost=0.0005 | ETA 18:07:28 2020-12-15 17:33:21 [INFO] [TRAIN] epoch=70, iter=26000/80000, loss=0.2302, lr=0.007021, batch_cost=0.8026, reader_cost=0.0001 | ETA 12:02:19 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 17:33:21 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 17:34:11 [INFO] [EVAL] #Images=500 mIoU=0.7348 Acc=0.9535 Kappa=0.9397 2020-12-15 17:34:11 [INFO] [EVAL] Class IoU: [0.9792 0.8329 0.916 0.4842 0.5812 0.542 0.6635 0.7464 0.9135 0.592 0.9351 0.7649 0.5829 0.9338 0.619 0.8502 0.7441 0.5383 0.7414] 2020-12-15 17:34:11 [INFO] [EVAL] Class Acc: [0.9914 0.9047 0.958 0.6321 0.716 0.8083 0.8219 0.9145 0.9396 0.8633 0.9536 0.8598 0.6921 0.9581 0.9596 0.949 0.9312 0.777 0.8187] 2020-12-15 17:34:17 [INFO] [EVAL] The model with the best validation mIoU (0.7571) was saved at iter 22000. 2020-12-15 17:34:28 [INFO] [TRAIN] epoch=70, iter=26010/80000, loss=0.2964, lr=0.007020, batch_cost=1.0799, reader_cost=0.0013 | ETA 16:11:45 2020-12-15 17:34:40 [INFO] [TRAIN] epoch=70, iter=26020/80000, loss=0.2160, lr=0.007018, batch_cost=1.2103, reader_cost=0.0011 | ETA 18:08:51 2020-12-15 17:34:53 [INFO] [TRAIN] epoch=70, iter=26030/80000, loss=0.1810, lr=0.007017, batch_cost=1.2739, reader_cost=0.0001 | ETA 19:05:51 2020-12-15 17:35:03 [INFO] [TRAIN] epoch=70, iter=26040/80000, loss=0.2381, lr=0.007016, batch_cost=1.0052, reader_cost=0.0005 | ETA 15:04:01 2020-12-15 17:35:17 [INFO] [TRAIN] epoch=71, iter=26050/80000, loss=0.2160, lr=0.007015, batch_cost=1.3822, reader_cost=0.0775 | ETA 20:42:48 2020-12-15 17:35:29 [INFO] [TRAIN] epoch=71, iter=26060/80000, loss=0.1782, lr=0.007014, batch_cost=1.1918, reader_cost=0.0043 | ETA 17:51:27 2020-12-15 17:35:40 [INFO] [TRAIN] epoch=71, iter=26070/80000, loss=0.1320, lr=0.007013, batch_cost=1.0865, reader_cost=0.0037 | ETA 16:16:33 2020-12-15 17:35:53 [INFO] [TRAIN] epoch=71, iter=26080/80000, loss=0.1949, lr=0.007011, batch_cost=1.2989, reader_cost=0.0001 | ETA 19:27:17 2020-12-15 17:36:04 [INFO] [TRAIN] epoch=71, iter=26090/80000, loss=0.2167, lr=0.007010, batch_cost=1.1726, reader_cost=0.0002 | ETA 17:33:32 2020-12-15 17:36:17 [INFO] [TRAIN] epoch=71, iter=26100/80000, loss=0.2629, lr=0.007009, batch_cost=1.2749, reader_cost=0.0018 | ETA 19:05:14 2020-12-15 17:36:29 [INFO] [TRAIN] epoch=71, iter=26110/80000, loss=0.2066, lr=0.007008, batch_cost=1.2204, reader_cost=0.0001 | ETA 18:16:05 2020-12-15 17:36:43 [INFO] [TRAIN] epoch=71, iter=26120/80000, loss=0.2296, lr=0.007007, batch_cost=1.3499, reader_cost=0.0015 | ETA 20:12:13 2020-12-15 17:36:55 [INFO] [TRAIN] epoch=71, iter=26130/80000, loss=0.1782, lr=0.007005, batch_cost=1.2340, reader_cost=0.0011 | ETA 18:27:56 2020-12-15 17:37:07 [INFO] [TRAIN] epoch=71, iter=26140/80000, loss=0.1806, lr=0.007004, batch_cost=1.1536, reader_cost=0.0030 | ETA 17:15:35 2020-12-15 17:37:18 [INFO] [TRAIN] epoch=71, iter=26150/80000, loss=0.2237, lr=0.007003, batch_cost=1.1587, reader_cost=0.0006 | ETA 17:19:55 2020-12-15 17:37:30 [INFO] [TRAIN] epoch=71, iter=26160/80000, loss=0.2551, lr=0.007002, batch_cost=1.1848, reader_cost=0.0004 | ETA 17:43:09 2020-12-15 17:37:42 [INFO] [TRAIN] epoch=71, iter=26170/80000, loss=0.2177, lr=0.007001, batch_cost=1.1816, reader_cost=0.0001 | ETA 17:40:06 2020-12-15 17:37:50 [INFO] [TRAIN] epoch=71, iter=26180/80000, loss=0.1672, lr=0.007000, batch_cost=0.8115, reader_cost=0.0001 | ETA 12:07:55 2020-12-15 17:38:00 [INFO] [TRAIN] epoch=71, iter=26190/80000, loss=0.2316, lr=0.006998, batch_cost=0.9911, reader_cost=0.0001 | ETA 14:48:53 2020-12-15 17:38:14 [INFO] [TRAIN] epoch=71, iter=26200/80000, loss=0.1589, lr=0.006997, batch_cost=1.3718, reader_cost=0.0010 | ETA 20:30:04 2020-12-15 17:38:25 [INFO] [TRAIN] epoch=71, iter=26210/80000, loss=0.1692, lr=0.006996, batch_cost=1.1475, reader_cost=0.0012 | ETA 17:08:44 2020-12-15 17:38:37 [INFO] [TRAIN] epoch=71, iter=26220/80000, loss=0.1714, lr=0.006995, batch_cost=1.2076, reader_cost=0.0001 | ETA 18:02:25 2020-12-15 17:38:50 [INFO] [TRAIN] epoch=71, iter=26230/80000, loss=0.3171, lr=0.006994, batch_cost=1.2599, reader_cost=0.0011 | ETA 18:49:02 2020-12-15 17:39:02 [INFO] [TRAIN] epoch=71, iter=26240/80000, loss=0.1755, lr=0.006993, batch_cost=1.1930, reader_cost=0.0001 | ETA 17:48:54 2020-12-15 17:39:13 [INFO] [TRAIN] epoch=71, iter=26250/80000, loss=0.1771, lr=0.006991, batch_cost=1.1567, reader_cost=0.0001 | ETA 17:16:12 2020-12-15 17:39:26 [INFO] [TRAIN] epoch=71, iter=26260/80000, loss=0.2165, lr=0.006990, batch_cost=1.2415, reader_cost=0.0001 | ETA 18:31:58 2020-12-15 17:39:38 [INFO] [TRAIN] epoch=71, iter=26270/80000, loss=0.1818, lr=0.006989, batch_cost=1.2282, reader_cost=0.0013 | ETA 18:19:52 2020-12-15 17:39:51 [INFO] [TRAIN] epoch=71, iter=26280/80000, loss=0.1529, lr=0.006988, batch_cost=1.2830, reader_cost=0.0007 | ETA 19:08:43 2020-12-15 17:40:04 [INFO] [TRAIN] epoch=71, iter=26290/80000, loss=0.1239, lr=0.006987, batch_cost=1.3281, reader_cost=0.0001 | ETA 19:48:50 2020-12-15 17:40:17 [INFO] [TRAIN] epoch=71, iter=26300/80000, loss=0.2330, lr=0.006986, batch_cost=1.3128, reader_cost=0.0001 | ETA 19:34:55 2020-12-15 17:40:31 [INFO] [TRAIN] epoch=71, iter=26310/80000, loss=0.3131, lr=0.006984, batch_cost=1.3255, reader_cost=0.0003 | ETA 19:46:06 2020-12-15 17:40:43 [INFO] [TRAIN] epoch=71, iter=26320/80000, loss=0.1327, lr=0.006983, batch_cost=1.2553, reader_cost=0.0013 | ETA 18:43:04 2020-12-15 17:40:55 [INFO] [TRAIN] epoch=71, iter=26330/80000, loss=0.1496, lr=0.006982, batch_cost=1.2114, reader_cost=0.0011 | ETA 18:03:33 2020-12-15 17:41:07 [INFO] [TRAIN] epoch=71, iter=26340/80000, loss=0.2163, lr=0.006981, batch_cost=1.1386, reader_cost=0.0037 | ETA 16:58:18 2020-12-15 17:41:19 [INFO] [TRAIN] epoch=71, iter=26350/80000, loss=0.1857, lr=0.006980, batch_cost=1.2021, reader_cost=0.0001 | ETA 17:54:53 2020-12-15 17:41:31 [INFO] [TRAIN] epoch=71, iter=26360/80000, loss=0.2219, lr=0.006979, batch_cost=1.2278, reader_cost=0.0001 | ETA 18:17:37 2020-12-15 17:41:43 [INFO] [TRAIN] epoch=71, iter=26370/80000, loss=0.4128, lr=0.006977, batch_cost=1.2466, reader_cost=0.0001 | ETA 18:34:14 2020-12-15 17:41:55 [INFO] [TRAIN] epoch=71, iter=26380/80000, loss=0.2337, lr=0.006976, batch_cost=1.1425, reader_cost=0.0013 | ETA 17:00:59 2020-12-15 17:42:08 [INFO] [TRAIN] epoch=71, iter=26390/80000, loss=0.1961, lr=0.006975, batch_cost=1.2723, reader_cost=0.0001 | ETA 18:56:47 2020-12-15 17:42:19 [INFO] [TRAIN] epoch=71, iter=26400/80000, loss=0.2048, lr=0.006974, batch_cost=1.1457, reader_cost=0.0001 | ETA 17:03:27 2020-12-15 17:42:27 [INFO] [TRAIN] epoch=71, iter=26410/80000, loss=0.2360, lr=0.006973, batch_cost=0.7732, reader_cost=0.0001 | ETA 11:30:38 2020-12-15 17:42:40 [INFO] [TRAIN] epoch=72, iter=26420/80000, loss=0.2018, lr=0.006972, batch_cost=1.3144, reader_cost=0.0461 | ETA 19:33:46 2020-12-15 17:42:53 [INFO] [TRAIN] epoch=72, iter=26430/80000, loss=0.1706, lr=0.006970, batch_cost=1.2733, reader_cost=0.0001 | ETA 18:56:49 2020-12-15 17:43:05 [INFO] [TRAIN] epoch=72, iter=26440/80000, loss=0.1776, lr=0.006969, batch_cost=1.2313, reader_cost=0.0001 | ETA 18:19:06 2020-12-15 17:43:17 [INFO] [TRAIN] epoch=72, iter=26450/80000, loss=0.1917, lr=0.006968, batch_cost=1.2391, reader_cost=0.0005 | ETA 18:25:56 2020-12-15 17:43:30 [INFO] [TRAIN] epoch=72, iter=26460/80000, loss=0.2488, lr=0.006967, batch_cost=1.2373, reader_cost=0.0011 | ETA 18:24:05 2020-12-15 17:43:43 [INFO] [TRAIN] epoch=72, iter=26470/80000, loss=0.2742, lr=0.006966, batch_cost=1.3549, reader_cost=0.0002 | ETA 20:08:49 2020-12-15 17:43:56 [INFO] [TRAIN] epoch=72, iter=26480/80000, loss=0.2664, lr=0.006965, batch_cost=1.2684, reader_cost=0.0011 | ETA 18:51:22 2020-12-15 17:44:08 [INFO] [TRAIN] epoch=72, iter=26490/80000, loss=0.2108, lr=0.006963, batch_cost=1.2112, reader_cost=0.0025 | ETA 18:00:10 2020-12-15 17:44:20 [INFO] [TRAIN] epoch=72, iter=26500/80000, loss=0.1889, lr=0.006962, batch_cost=1.2405, reader_cost=0.0005 | ETA 18:26:05 2020-12-15 17:44:34 [INFO] [TRAIN] epoch=72, iter=26510/80000, loss=0.1665, lr=0.006961, batch_cost=1.3149, reader_cost=0.0002 | ETA 19:32:11 2020-12-15 17:44:48 [INFO] [TRAIN] epoch=72, iter=26520/80000, loss=0.2091, lr=0.006960, batch_cost=1.3988, reader_cost=0.0019 | ETA 20:46:48 2020-12-15 17:45:00 [INFO] [TRAIN] epoch=72, iter=26530/80000, loss=0.2277, lr=0.006959, batch_cost=1.2635, reader_cost=0.0027 | ETA 18:46:00 2020-12-15 17:45:13 [INFO] [TRAIN] epoch=72, iter=26540/80000, loss=0.2001, lr=0.006957, batch_cost=1.2424, reader_cost=0.0001 | ETA 18:27:00 2020-12-15 17:45:24 [INFO] [TRAIN] epoch=72, iter=26550/80000, loss=0.1705, lr=0.006956, batch_cost=1.1255, reader_cost=0.0003 | ETA 16:42:37 2020-12-15 17:45:35 [INFO] [TRAIN] epoch=72, iter=26560/80000, loss=0.2620, lr=0.006955, batch_cost=1.0914, reader_cost=0.0001 | ETA 16:12:02 2020-12-15 17:45:46 [INFO] [TRAIN] epoch=72, iter=26570/80000, loss=0.1775, lr=0.006954, batch_cost=1.0921, reader_cost=0.0028 | ETA 16:12:30 2020-12-15 17:45:57 [INFO] [TRAIN] epoch=72, iter=26580/80000, loss=0.2905, lr=0.006953, batch_cost=1.1262, reader_cost=0.0001 | ETA 16:42:43 2020-12-15 17:46:10 [INFO] [TRAIN] epoch=72, iter=26590/80000, loss=0.1851, lr=0.006952, batch_cost=1.2610, reader_cost=0.0004 | ETA 18:42:28 2020-12-15 17:46:23 [INFO] [TRAIN] epoch=72, iter=26600/80000, loss=0.2615, lr=0.006950, batch_cost=1.3117, reader_cost=0.0014 | ETA 19:27:22 2020-12-15 17:46:36 [INFO] [TRAIN] epoch=72, iter=26610/80000, loss=0.2098, lr=0.006949, batch_cost=1.2927, reader_cost=0.0001 | ETA 19:10:17 2020-12-15 17:46:47 [INFO] [TRAIN] epoch=72, iter=26620/80000, loss=0.2619, lr=0.006948, batch_cost=1.1627, reader_cost=0.0001 | ETA 17:14:25 2020-12-15 17:46:57 [INFO] [TRAIN] epoch=72, iter=26630/80000, loss=0.1909, lr=0.006947, batch_cost=0.9767, reader_cost=0.0009 | ETA 14:28:45 2020-12-15 17:47:06 [INFO] [TRAIN] epoch=72, iter=26640/80000, loss=0.1948, lr=0.006946, batch_cost=0.9016, reader_cost=0.0001 | ETA 13:21:51 2020-12-15 17:47:18 [INFO] [TRAIN] epoch=72, iter=26650/80000, loss=0.1215, lr=0.006945, batch_cost=1.2202, reader_cost=0.0028 | ETA 18:04:57 2020-12-15 17:47:30 [INFO] [TRAIN] epoch=72, iter=26660/80000, loss=0.1915, lr=0.006943, batch_cost=1.1455, reader_cost=0.0001 | ETA 16:58:18 2020-12-15 17:47:42 [INFO] [TRAIN] epoch=72, iter=26670/80000, loss=0.1823, lr=0.006942, batch_cost=1.2267, reader_cost=0.0001 | ETA 18:10:22 2020-12-15 17:47:54 [INFO] [TRAIN] epoch=72, iter=26680/80000, loss=0.2006, lr=0.006941, batch_cost=1.1677, reader_cost=0.0001 | ETA 17:17:43 2020-12-15 17:48:06 [INFO] [TRAIN] epoch=72, iter=26690/80000, loss=0.2413, lr=0.006940, batch_cost=1.2189, reader_cost=0.0001 | ETA 18:03:02 2020-12-15 17:48:19 [INFO] [TRAIN] epoch=72, iter=26700/80000, loss=0.2528, lr=0.006939, batch_cost=1.2717, reader_cost=0.0020 | ETA 18:49:42 2020-12-15 17:48:28 [INFO] [TRAIN] epoch=72, iter=26710/80000, loss=0.2103, lr=0.006938, batch_cost=0.9248, reader_cost=0.0001 | ETA 13:41:20 2020-12-15 17:48:36 [INFO] [TRAIN] epoch=72, iter=26720/80000, loss=0.1628, lr=0.006936, batch_cost=0.8071, reader_cost=0.0001 | ETA 11:56:44 2020-12-15 17:48:44 [INFO] [TRAIN] epoch=72, iter=26730/80000, loss=0.1918, lr=0.006935, batch_cost=0.8092, reader_cost=0.0000 | ETA 11:58:25 2020-12-15 17:48:52 [INFO] [TRAIN] epoch=72, iter=26740/80000, loss=0.2302, lr=0.006934, batch_cost=0.8066, reader_cost=0.0001 | ETA 11:56:01 2020-12-15 17:49:02 [INFO] [TRAIN] epoch=72, iter=26750/80000, loss=0.1846, lr=0.006933, batch_cost=0.9447, reader_cost=0.0001 | ETA 13:58:25 2020-12-15 17:49:13 [INFO] [TRAIN] epoch=72, iter=26760/80000, loss=0.1957, lr=0.006932, batch_cost=1.1892, reader_cost=0.0032 | ETA 17:35:10 2020-12-15 17:49:25 [INFO] [TRAIN] epoch=72, iter=26770/80000, loss=0.1578, lr=0.006931, batch_cost=1.1316, reader_cost=0.0027 | ETA 16:43:56 2020-12-15 17:49:37 [INFO] [TRAIN] epoch=72, iter=26780/80000, loss=0.2572, lr=0.006929, batch_cost=1.2276, reader_cost=0.0018 | ETA 18:08:50 2020-12-15 17:49:49 [INFO] [TRAIN] epoch=73, iter=26790/80000, loss=0.2244, lr=0.006928, batch_cost=1.1693, reader_cost=0.0801 | ETA 17:16:59 2020-12-15 17:50:01 [INFO] [TRAIN] epoch=73, iter=26800/80000, loss=0.2063, lr=0.006927, batch_cost=1.2203, reader_cost=0.0001 | ETA 18:01:59 2020-12-15 17:50:13 [INFO] [TRAIN] epoch=73, iter=26810/80000, loss=0.1797, lr=0.006926, batch_cost=1.1871, reader_cost=0.0001 | ETA 17:32:21 2020-12-15 17:50:25 [INFO] [TRAIN] epoch=73, iter=26820/80000, loss=0.1847, lr=0.006925, batch_cost=1.1776, reader_cost=0.0073 | ETA 17:23:45 2020-12-15 17:50:37 [INFO] [TRAIN] epoch=73, iter=26830/80000, loss=0.2193, lr=0.006924, batch_cost=1.2087, reader_cost=0.0001 | ETA 17:51:06 2020-12-15 17:50:49 [INFO] [TRAIN] epoch=73, iter=26840/80000, loss=0.2245, lr=0.006922, batch_cost=1.1961, reader_cost=0.0009 | ETA 17:39:42 2020-12-15 17:51:01 [INFO] [TRAIN] epoch=73, iter=26850/80000, loss=0.1891, lr=0.006921, batch_cost=1.1997, reader_cost=0.0001 | ETA 17:42:41 2020-12-15 17:51:13 [INFO] [TRAIN] epoch=73, iter=26860/80000, loss=0.1847, lr=0.006920, batch_cost=1.2476, reader_cost=0.0005 | ETA 18:24:59 2020-12-15 17:51:26 [INFO] [TRAIN] epoch=73, iter=26870/80000, loss=0.1979, lr=0.006919, batch_cost=1.2453, reader_cost=0.0001 | ETA 18:22:42 2020-12-15 17:51:38 [INFO] [TRAIN] epoch=73, iter=26880/80000, loss=0.1565, lr=0.006918, batch_cost=1.2469, reader_cost=0.0020 | ETA 18:23:55 2020-12-15 17:51:51 [INFO] [TRAIN] epoch=73, iter=26890/80000, loss=0.1756, lr=0.006916, batch_cost=1.2775, reader_cost=0.0004 | ETA 18:50:47 2020-12-15 17:52:00 [INFO] [TRAIN] epoch=73, iter=26900/80000, loss=0.1592, lr=0.006915, batch_cost=0.8890, reader_cost=0.0006 | ETA 13:06:44 2020-12-15 17:52:09 [INFO] [TRAIN] epoch=73, iter=26910/80000, loss=0.1749, lr=0.006914, batch_cost=0.9042, reader_cost=0.0001 | ETA 13:20:03 2020-12-15 17:52:21 [INFO] [TRAIN] epoch=73, iter=26920/80000, loss=0.2094, lr=0.006913, batch_cost=1.1868, reader_cost=0.0001 | ETA 17:29:54 2020-12-15 17:52:32 [INFO] [TRAIN] epoch=73, iter=26930/80000, loss=0.1969, lr=0.006912, batch_cost=1.1263, reader_cost=0.0004 | ETA 16:36:11 2020-12-15 17:52:44 [INFO] [TRAIN] epoch=73, iter=26940/80000, loss=0.1575, lr=0.006911, batch_cost=1.2058, reader_cost=0.0010 | ETA 17:46:20 2020-12-15 17:52:56 [INFO] [TRAIN] epoch=73, iter=26950/80000, loss=0.2482, lr=0.006909, batch_cost=1.2201, reader_cost=0.0008 | ETA 17:58:45 2020-12-15 17:53:08 [INFO] [TRAIN] epoch=73, iter=26960/80000, loss=0.1765, lr=0.006908, batch_cost=1.1845, reader_cost=0.0013 | ETA 17:27:03 2020-12-15 17:53:20 [INFO] [TRAIN] epoch=73, iter=26970/80000, loss=0.1769, lr=0.006907, batch_cost=1.1955, reader_cost=0.0001 | ETA 17:36:38 2020-12-15 17:53:33 [INFO] [TRAIN] epoch=73, iter=26980/80000, loss=0.3014, lr=0.006906, batch_cost=1.3274, reader_cost=0.0004 | ETA 19:33:00 2020-12-15 17:53:47 [INFO] [TRAIN] epoch=73, iter=26990/80000, loss=0.1818, lr=0.006905, batch_cost=1.3442, reader_cost=0.0002 | ETA 19:47:36 2020-12-15 17:53:59 [INFO] [TRAIN] epoch=73, iter=27000/80000, loss=0.2090, lr=0.006904, batch_cost=1.1940, reader_cost=0.0020 | ETA 17:34:40 aug_eval False scales 1.0 2020-12-15 17:53:59 [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 2020-12-15 17:54:50 [INFO] [EVAL] #Images=500 mIoU=0.7490 Acc=0.9562 Kappa=0.9432 2020-12-15 17:54:50 [INFO] [EVAL] Class IoU: [0.9801 0.8407 0.917 0.5933 0.5679 0.5821 0.6729 0.7596 0.9173 0.5812 0.9386 0.7823 0.5755 0.9433 0.6617 0.8572 0.7309 0.5772 0.7527] 2020-12-15 17:54:50 [INFO] [EVAL] Class Acc: [0.9909 0.9129 0.9497 0.8025 0.8494 0.7653 0.7658 0.8665 0.9512 0.8808 0.9573 0.8948 0.6569 0.9699 0.7442 0.8989 0.9116 0.6906 0.8513] 2020-12-15 17:54:56 [INFO] [EVAL] The model with the best validation mIoU (0.7571) was saved at iter 22000. 2020-12-15 17:55:08 [INFO] [TRAIN] epoch=73, iter=27010/80000, loss=0.1392, lr=0.006902, batch_cost=1.1704, reader_cost=0.0018 | ETA 17:13:37 2020-12-15 17:55:19 [INFO] [TRAIN] epoch=73, iter=27020/80000, loss=0.1519, lr=0.006901, batch_cost=1.1072, reader_cost=0.0001 | ETA 16:17:38 2020-12-15 17:55:30 [INFO] [TRAIN] epoch=73, iter=27030/80000, loss=0.1834, lr=0.006900, batch_cost=1.1175, reader_cost=0.0001 | ETA 16:26:36 2020-12-15 17:55:42 [INFO] [TRAIN] epoch=73, iter=27040/80000, loss=0.1642, lr=0.006899, batch_cost=1.2034, reader_cost=0.0028 | ETA 17:42:11 2020-12-15 17:55:55 [INFO] [TRAIN] epoch=73, iter=27050/80000, loss=0.1607, lr=0.006898, batch_cost=1.2503, reader_cost=0.0001 | ETA 18:23:23 2020-12-15 17:56:08 [INFO] [TRAIN] epoch=73, iter=27060/80000, loss=0.2349, lr=0.006897, batch_cost=1.2734, reader_cost=0.0011 | ETA 18:43:35 2020-12-15 17:56:19 [INFO] [TRAIN] epoch=73, iter=27070/80000, loss=0.1531, lr=0.006895, batch_cost=1.1436, reader_cost=0.0001 | ETA 16:48:51 2020-12-15 17:56:30 [INFO] [TRAIN] epoch=73, iter=27080/80000, loss=0.2195, lr=0.006894, batch_cost=1.1162, reader_cost=0.0003 | ETA 16:24:29 2020-12-15 17:56:38 [INFO] [TRAIN] epoch=73, iter=27090/80000, loss=0.1587, lr=0.006893, batch_cost=0.8000, reader_cost=0.0001 | ETA 11:45:25 2020-12-15 17:56:49 [INFO] [TRAIN] epoch=73, iter=27100/80000, loss=0.1520, lr=0.006892, batch_cost=1.0531, reader_cost=0.0001 | ETA 15:28:31 2020-12-15 17:57:02 [INFO] [TRAIN] epoch=73, iter=27110/80000, loss=0.1343, lr=0.006891, batch_cost=1.2874, reader_cost=0.0001 | ETA 18:54:52 2020-12-15 17:57:14 [INFO] [TRAIN] epoch=73, iter=27120/80000, loss=0.1914, lr=0.006890, batch_cost=1.2060, reader_cost=0.0001 | ETA 17:42:52 2020-12-15 17:57:26 [INFO] [TRAIN] epoch=73, iter=27130/80000, loss=0.1852, lr=0.006888, batch_cost=1.2733, reader_cost=0.0001 | ETA 18:42:01 2020-12-15 17:57:37 [INFO] [TRAIN] epoch=73, iter=27140/80000, loss=0.1961, lr=0.006887, batch_cost=1.0179, reader_cost=0.0027 | ETA 14:56:43 2020-12-15 17:57:48 [INFO] [TRAIN] epoch=73, iter=27150/80000, loss=0.1419, lr=0.006886, batch_cost=1.1972, reader_cost=0.0022 | ETA 17:34:31 2020-12-15 17:58:00 [INFO] [TRAIN] epoch=74, iter=27160/80000, loss=0.1919, lr=0.006885, batch_cost=1.1516, reader_cost=0.0495 | ETA 16:54:10 2020-12-15 17:58:11 [INFO] [TRAIN] epoch=74, iter=27170/80000, loss=0.1555, lr=0.006884, batch_cost=1.1402, reader_cost=0.0001 | ETA 16:43:55 2020-12-15 17:58:24 [INFO] [TRAIN] epoch=74, iter=27180/80000, loss=0.1526, lr=0.006882, batch_cost=1.2231, reader_cost=0.0001 | ETA 17:56:45 2020-12-15 17:58:36 [INFO] [TRAIN] epoch=74, iter=27190/80000, loss=0.2363, lr=0.006881, batch_cost=1.2349, reader_cost=0.0005 | ETA 18:06:53 2020-12-15 17:58:48 [INFO] [TRAIN] epoch=74, iter=27200/80000, loss=0.1837, lr=0.006880, batch_cost=1.1502, reader_cost=0.0038 | ETA 16:52:09 2020-12-15 17:58:59 [INFO] [TRAIN] epoch=74, iter=27210/80000, loss=0.2482, lr=0.006879, batch_cost=1.1220, reader_cost=0.0001 | ETA 16:27:10 2020-12-15 17:59:11 [INFO] [TRAIN] epoch=74, iter=27220/80000, loss=0.1922, lr=0.006878, batch_cost=1.2087, reader_cost=0.0001 | ETA 17:43:15 2020-12-15 17:59:23 [INFO] [TRAIN] epoch=74, iter=27230/80000, loss=0.1683, lr=0.006877, batch_cost=1.2463, reader_cost=0.0001 | ETA 18:16:09 2020-12-15 17:59:37 [INFO] [TRAIN] epoch=74, iter=27240/80000, loss=0.2207, lr=0.006875, batch_cost=1.3222, reader_cost=0.0005 | ETA 19:22:39 2020-12-15 17:59:49 [INFO] [TRAIN] epoch=74, iter=27250/80000, loss=0.1770, lr=0.006874, batch_cost=1.2248, reader_cost=0.0020 | ETA 17:56:47 2020-12-15 18:00:02 [INFO] [TRAIN] epoch=74, iter=27260/80000, loss=0.2389, lr=0.006873, batch_cost=1.3048, reader_cost=0.0002 | ETA 19:06:54 2020-12-15 18:00:15 [INFO] [TRAIN] epoch=74, iter=27270/80000, loss=0.2142, lr=0.006872, batch_cost=1.2766, reader_cost=0.0009 | ETA 18:41:57 2020-12-15 18:00:26 [INFO] [TRAIN] epoch=74, iter=27280/80000, loss=0.1500, lr=0.006871, batch_cost=1.1537, reader_cost=0.0017 | ETA 16:53:43 2020-12-15 18:00:38 [INFO] [TRAIN] epoch=74, iter=27290/80000, loss=0.2549, lr=0.006870, batch_cost=1.1663, reader_cost=0.0009 | ETA 17:04:34 2020-12-15 18:00:49 [INFO] [TRAIN] epoch=74, iter=27300/80000, loss=0.2104, lr=0.006868, batch_cost=1.0729, reader_cost=0.0014 | ETA 15:42:20 2020-12-15 18:01:00 [INFO] [TRAIN] epoch=74, iter=27310/80000, loss=0.2107, lr=0.006867, batch_cost=1.1004, reader_cost=0.0002 | ETA 16:06:19 2020-12-15 18:01:08 [INFO] [TRAIN] epoch=74, iter=27320/80000, loss=0.1875, lr=0.006866, batch_cost=0.8396, reader_cost=0.0004 | ETA 12:17:12 2020-12-15 18:01:17 [INFO] [TRAIN] epoch=74, iter=27330/80000, loss=0.1555, lr=0.006865, batch_cost=0.9583, reader_cost=0.0001 | ETA 14:01:13 2020-12-15 18:01:30 [INFO] [TRAIN] epoch=74, iter=27340/80000, loss=0.2140, lr=0.006864, batch_cost=1.2161, reader_cost=0.0001 | ETA 17:47:21 2020-12-15 18:01:41 [INFO] [TRAIN] epoch=74, iter=27350/80000, loss=0.2554, lr=0.006863, batch_cost=1.1657, reader_cost=0.0007 | ETA 17:02:52 2020-12-15 18:01:53 [INFO] [TRAIN] epoch=74, iter=27360/80000, loss=0.1755, lr=0.006861, batch_cost=1.2167, reader_cost=0.0001 | ETA 17:47:27 2020-12-15 18:02:06 [INFO] [TRAIN] epoch=74, iter=27370/80000, loss=0.2695, lr=0.006860, batch_cost=1.2894, reader_cost=0.0001 | ETA 18:51:00 2020-12-15 18:02:18 [INFO] [TRAIN] epoch=74, iter=27380/80000, loss=0.1729, lr=0.006859, batch_cost=1.1994, reader_cost=0.0008 | ETA 17:31:54 2020-12-15 18:02:30 [INFO] [TRAIN] epoch=74, iter=27390/80000, loss=0.2443, lr=0.006858, batch_cost=1.1895, reader_cost=0.0011 | ETA 17:22:57 2020-12-15 18:02:42 [INFO] [TRAIN] epoch=74, iter=27400/80000, loss=0.2271, lr=0.006857, batch_cost=1.1678, reader_cost=0.0001 | ETA 17:03:47 2020-12-15 18:02:53 [INFO] [TRAIN] epoch=74, iter=27410/80000, loss=0.1536, lr=0.006856, batch_cost=1.1061, reader_cost=0.0001 | ETA 16:09:28 2020-12-15 18:03:05 [INFO] [TRAIN] epoch=74, iter=27420/80000, loss=0.1841, lr=0.006854, batch_cost=1.2260, reader_cost=0.0001 | ETA 17:54:25 2020-12-15 18:03:18 [INFO] [TRAIN] epoch=74, iter=27430/80000, loss=0.2223, lr=0.006853, batch_cost=1.2417, reader_cost=0.0007 | ETA 18:07:53 2020-12-15 18:03:29 [INFO] [TRAIN] epoch=74, iter=27440/80000, loss=0.1976, lr=0.006852, batch_cost=1.1523, reader_cost=0.0001 | ETA 16:49:23 2020-12-15 18:03:42 [INFO] [TRAIN] epoch=74, iter=27450/80000, loss=0.2377, lr=0.006851, batch_cost=1.2769, reader_cost=0.0028 | ETA 18:38:19 2020-12-15 18:03:55 [INFO] [TRAIN] epoch=74, iter=27460/80000, loss=0.2277, lr=0.006850, batch_cost=1.2910, reader_cost=0.0009 | ETA 18:50:29 2020-12-15 18:04:08 [INFO] [TRAIN] epoch=74, iter=27470/80000, loss=0.1410, lr=0.006848, batch_cost=1.2833, reader_cost=0.0001 | ETA 18:43:30 2020-12-15 18:04:19 [INFO] [TRAIN] epoch=74, iter=27480/80000, loss=0.1782, lr=0.006847, batch_cost=1.1761, reader_cost=0.0021 | ETA 17:09:28 2020-12-15 18:04:32 [INFO] [TRAIN] epoch=74, iter=27490/80000, loss=0.2213, lr=0.006846, batch_cost=1.2241, reader_cost=0.0001 | ETA 17:51:18 2020-12-15 18:04:44 [INFO] [TRAIN] epoch=74, iter=27500/80000, loss=0.2357, lr=0.006845, batch_cost=1.2452, reader_cost=0.0032 | ETA 18:09:34 2020-12-15 18:04:56 [INFO] [TRAIN] epoch=74, iter=27510/80000, loss=0.1881, lr=0.006844, batch_cost=1.1769, reader_cost=0.0006 | ETA 17:09:34 2020-12-15 18:05:09 [INFO] [TRAIN] epoch=74, iter=27520/80000, loss=0.2093, lr=0.006843, batch_cost=1.3167, reader_cost=0.0013 | ETA 19:11:41 2020-12-15 18:05:20 [INFO] [TRAIN] epoch=75, iter=27530/80000, loss=0.1820, lr=0.006841, batch_cost=1.0999, reader_cost=0.0623 | ETA 16:01:50 2020-12-15 18:05:33 [INFO] [TRAIN] epoch=75, iter=27540/80000, loss=0.2196, lr=0.006840, batch_cost=1.2798, reader_cost=0.0014 | ETA 18:39:00 2020-12-15 18:05:41 [INFO] [TRAIN] epoch=75, iter=27550/80000, loss=0.1839, lr=0.006839, batch_cost=0.8287, reader_cost=0.0014 | ETA 12:04:26 2020-12-15 18:05:51 [INFO] [TRAIN] epoch=75, iter=27560/80000, loss=0.1335, lr=0.006838, batch_cost=0.9891, reader_cost=0.0001 | ETA 14:24:27 2020-12-15 18:06:03 [INFO] [TRAIN] epoch=75, iter=27570/80000, loss=0.2228, lr=0.006837, batch_cost=1.2006, reader_cost=0.0001 | ETA 17:29:05 2020-12-15 18:06:15 [INFO] [TRAIN] epoch=75, iter=27580/80000, loss=0.1775, lr=0.006836, batch_cost=1.2052, reader_cost=0.0002 | ETA 17:32:58 2020-12-15 18:06:28 [INFO] [TRAIN] epoch=75, iter=27590/80000, loss=0.1351, lr=0.006834, batch_cost=1.2477, reader_cost=0.0030 | ETA 18:09:49 2020-12-15 18:06:39 [INFO] [TRAIN] epoch=75, iter=27600/80000, loss=0.1480, lr=0.006833, batch_cost=1.1509, reader_cost=0.0025 | ETA 16:45:05 2020-12-15 18:06:51 [INFO] [TRAIN] epoch=75, iter=27610/80000, loss=0.2656, lr=0.006832, batch_cost=1.2121, reader_cost=0.0031 | ETA 17:38:21 2020-12-15 18:07:03 [INFO] [TRAIN] epoch=75, iter=27620/80000, loss=0.2616, lr=0.006831, batch_cost=1.1415, reader_cost=0.0001 | ETA 16:36:32 2020-12-15 18:07:15 [INFO] [TRAIN] epoch=75, iter=27630/80000, loss=0.2181, lr=0.006830, batch_cost=1.2702, reader_cost=0.0001 | ETA 18:28:41 2020-12-15 18:07:28 [INFO] [TRAIN] epoch=75, iter=27640/80000, loss=0.2374, lr=0.006829, batch_cost=1.2197, reader_cost=0.0002 | ETA 17:44:21 2020-12-15 18:07:40 [INFO] [TRAIN] epoch=75, iter=27650/80000, loss=0.2130, lr=0.006827, batch_cost=1.1965, reader_cost=0.0006 | ETA 17:23:58 2020-12-15 18:07:51 [INFO] [TRAIN] epoch=75, iter=27660/80000, loss=0.2087, lr=0.006826, batch_cost=1.1782, reader_cost=0.0001 | ETA 17:07:48 2020-12-15 18:08:03 [INFO] [TRAIN] epoch=75, iter=27670/80000, loss=0.1666, lr=0.006825, batch_cost=1.1896, reader_cost=0.0001 | ETA 17:17:31 2020-12-15 18:08:16 [INFO] [TRAIN] epoch=75, iter=27680/80000, loss=0.2704, lr=0.006824, batch_cost=1.2495, reader_cost=0.0001 | ETA 18:09:33 2020-12-15 18:08:28 [INFO] [TRAIN] epoch=75, iter=27690/80000, loss=0.2128, lr=0.006823, batch_cost=1.1898, reader_cost=0.0030 | ETA 17:17:20 2020-12-15 18:08:40 [INFO] [TRAIN] epoch=75, iter=27700/80000, loss=0.1654, lr=0.006821, batch_cost=1.2677, reader_cost=0.0010 | ETA 18:24:59 2020-12-15 18:08:53 [INFO] [TRAIN] epoch=75, iter=27710/80000, loss=0.2727, lr=0.006820, batch_cost=1.2220, reader_cost=0.0007 | ETA 17:44:58 2020-12-15 18:09:05 [INFO] [TRAIN] epoch=75, iter=27720/80000, loss=0.1863, lr=0.006819, batch_cost=1.2909, reader_cost=0.0017 | ETA 18:44:49 2020-12-15 18:09:17 [INFO] [TRAIN] epoch=75, iter=27730/80000, loss=0.1367, lr=0.006818, batch_cost=1.1730, reader_cost=0.0004 | ETA 17:01:50 2020-12-15 18:09:30 [INFO] [TRAIN] epoch=75, iter=27740/80000, loss=0.2061, lr=0.006817, batch_cost=1.2622, reader_cost=0.0031 | ETA 18:19:22 2020-12-15 18:09:43 [INFO] [TRAIN] epoch=75, iter=27750/80000, loss=0.1784, lr=0.006816, batch_cost=1.3424, reader_cost=0.0017 | ETA 19:28:58 2020-12-15 18:09:56 [INFO] [TRAIN] epoch=75, iter=27760/80000, loss=0.1683, lr=0.006814, batch_cost=1.2779, reader_cost=0.0002 | ETA 18:32:37 2020-12-15 18:10:06 [INFO] [TRAIN] epoch=75, iter=27770/80000, loss=0.2620, lr=0.006813, batch_cost=0.9689, reader_cost=0.0016 | ETA 14:03:25 2020-12-15 18:10:14 [INFO] [TRAIN] epoch=75, iter=27780/80000, loss=0.2211, lr=0.006812, batch_cost=0.8237, reader_cost=0.0001 | ETA 11:56:54 2020-12-15 18:10:25 [INFO] [TRAIN] epoch=75, iter=27790/80000, loss=0.3811, lr=0.006811, batch_cost=1.0849, reader_cost=0.0009 | ETA 15:44:03 2020-12-15 18:10:36 [INFO] [TRAIN] epoch=75, iter=27800/80000, loss=0.3616, lr=0.006810, batch_cost=1.1634, reader_cost=0.0010 | ETA 16:52:07 2020-12-15 18:10:48 [INFO] [TRAIN] epoch=75, iter=27810/80000, loss=0.1882, lr=0.006809, batch_cost=1.1459, reader_cost=0.0001 | ETA 16:36:43 2020-12-15 18:11:00 [INFO] [TRAIN] epoch=75, iter=27820/80000, loss=0.2586, lr=0.006807, batch_cost=1.2074, reader_cost=0.0001 | ETA 17:30:00 2020-12-15 18:11:12 [INFO] [TRAIN] epoch=75, iter=27830/80000, loss=0.2377, lr=0.006806, batch_cost=1.1984, reader_cost=0.0001 | ETA 17:22:01 2020-12-15 18:11:24 [INFO] [TRAIN] epoch=75, iter=27840/80000, loss=0.1906, lr=0.006805, batch_cost=1.2152, reader_cost=0.0001 | ETA 17:36:24 2020-12-15 18:11:36 [INFO] [TRAIN] epoch=75, iter=27850/80000, loss=0.2270, lr=0.006804, batch_cost=1.2199, reader_cost=0.0001 | ETA 17:40:16 2020-12-15 18:11:49 [INFO] [TRAIN] epoch=75, iter=27860/80000, loss=0.3181, lr=0.006803, batch_cost=1.2754, reader_cost=0.0001 | ETA 18:28:20 2020-12-15 18:12:01 [INFO] [TRAIN] epoch=75, iter=27870/80000, loss=0.1970, lr=0.006802, batch_cost=1.1859, reader_cost=0.0004 | ETA 17:10:21 2020-12-15 18:12:13 [INFO] [TRAIN] epoch=75, iter=27880/80000, loss=0.1882, lr=0.006800, batch_cost=1.2528, reader_cost=0.0033 | ETA 18:08:15 2020-12-15 18:12:25 [INFO] [TRAIN] epoch=75, iter=27890/80000, loss=0.2011, lr=0.006799, batch_cost=1.1676, reader_cost=0.0002 | ETA 16:54:03 2020-12-15 18:12:35 [INFO] [TRAIN] epoch=75, iter=27900/80000, loss=0.2494, lr=0.006798, batch_cost=1.0357, reader_cost=0.0001 | ETA 14:59:20 2020-12-15 18:12:50 [INFO] [TRAIN] epoch=76, iter=27910/80000, loss=0.1685, lr=0.006797, batch_cost=1.4187, reader_cost=0.0604 | ETA 20:31:41 2020-12-15 18:13:02 [INFO] [TRAIN] epoch=76, iter=27920/80000, loss=0.1708, lr=0.006796, batch_cost=1.1962, reader_cost=0.0005 | ETA 17:18:19 2020-12-15 18:13:13 [INFO] [TRAIN] epoch=76, iter=27930/80000, loss=0.1920, lr=0.006794, batch_cost=1.0967, reader_cost=0.0001 | ETA 15:51:46 2020-12-15 18:13:21 [INFO] [TRAIN] epoch=76, iter=27940/80000, loss=0.1442, lr=0.006793, batch_cost=0.8083, reader_cost=0.0001 | ETA 11:41:17 2020-12-15 18:13:29 [INFO] [TRAIN] epoch=76, iter=27950/80000, loss=0.2397, lr=0.006792, batch_cost=0.8416, reader_cost=0.0001 | ETA 12:10:06 2020-12-15 18:13:37 [INFO] [TRAIN] epoch=76, iter=27960/80000, loss=0.2008, lr=0.006791, batch_cost=0.8127, reader_cost=0.0001 | ETA 11:44:53 2020-12-15 18:13:45 [INFO] [TRAIN] epoch=76, iter=27970/80000, loss=0.2105, lr=0.006790, batch_cost=0.8070, reader_cost=0.0001 | ETA 11:39:46 2020-12-15 18:13:57 [INFO] [TRAIN] epoch=76, iter=27980/80000, loss=0.1967, lr=0.006789, batch_cost=1.1393, reader_cost=0.0001 | ETA 16:27:45 2020-12-15 18:14:09 [INFO] [TRAIN] epoch=76, iter=27990/80000, loss=0.1689, lr=0.006787, batch_cost=1.1852, reader_cost=0.0014 | ETA 17:07:23 2020-12-15 18:14:21 [INFO] [TRAIN] epoch=76, iter=28000/80000, loss=0.1738, lr=0.006786, batch_cost=1.2685, reader_cost=0.0002 | ETA 18:19:21 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 18:14:21 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 18:15:12 [INFO] [EVAL] #Images=500 mIoU=0.7668 Acc=0.9572 Kappa=0.9444 2020-12-15 18:15:12 [INFO] [EVAL] Class IoU: [0.979 0.8313 0.9186 0.4803 0.6067 0.5895 0.684 0.7601 0.9196 0.6352 0.9456 0.8039 0.6146 0.9468 0.8178 0.885 0.7823 0.6133 0.7556] 2020-12-15 18:15:12 [INFO] [EVAL] Class Acc: [0.9868 0.9317 0.9502 0.8016 0.7993 0.7628 0.829 0.9005 0.9498 0.8585 0.9703 0.8985 0.7282 0.9691 0.9225 0.9602 0.8983 0.8436 0.851 ] 2020-12-15 18:15:22 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 18:15:34 [INFO] [TRAIN] epoch=76, iter=28010/80000, loss=0.2873, lr=0.006785, batch_cost=1.2184, reader_cost=0.0002 | ETA 17:35:43 2020-12-15 18:15:46 [INFO] [TRAIN] epoch=76, iter=28020/80000, loss=0.1904, lr=0.006784, batch_cost=1.2151, reader_cost=0.0005 | ETA 17:32:42 2020-12-15 18:15:57 [INFO] [TRAIN] epoch=76, iter=28030/80000, loss=0.1820, lr=0.006783, batch_cost=1.0491, reader_cost=0.0005 | ETA 15:08:43 2020-12-15 18:16:09 [INFO] [TRAIN] epoch=76, iter=28040/80000, loss=0.1613, lr=0.006782, batch_cost=1.1972, reader_cost=0.0010 | ETA 17:16:46 2020-12-15 18:16:21 [INFO] [TRAIN] epoch=76, iter=28050/80000, loss=0.1615, lr=0.006780, batch_cost=1.2477, reader_cost=0.0025 | ETA 18:00:16 2020-12-15 18:16:34 [INFO] [TRAIN] epoch=76, iter=28060/80000, loss=0.2027, lr=0.006779, batch_cost=1.2548, reader_cost=0.0037 | ETA 18:06:12 2020-12-15 18:16:46 [INFO] [TRAIN] epoch=76, iter=28070/80000, loss=0.2010, lr=0.006778, batch_cost=1.2244, reader_cost=0.0001 | ETA 17:39:42 2020-12-15 18:16:57 [INFO] [TRAIN] epoch=76, iter=28080/80000, loss=0.1984, lr=0.006777, batch_cost=1.1078, reader_cost=0.0032 | ETA 15:58:36 2020-12-15 18:17:09 [INFO] [TRAIN] epoch=76, iter=28090/80000, loss=0.1965, lr=0.006776, batch_cost=1.1407, reader_cost=0.0001 | ETA 16:26:51 2020-12-15 18:17:21 [INFO] [TRAIN] epoch=76, iter=28100/80000, loss=0.2447, lr=0.006774, batch_cost=1.2588, reader_cost=0.0001 | ETA 18:08:53 2020-12-15 18:17:34 [INFO] [TRAIN] epoch=76, iter=28110/80000, loss=0.1650, lr=0.006773, batch_cost=1.2556, reader_cost=0.0025 | ETA 18:05:54 2020-12-15 18:17:47 [INFO] [TRAIN] epoch=76, iter=28120/80000, loss=0.2181, lr=0.006772, batch_cost=1.2816, reader_cost=0.0001 | ETA 18:28:09 2020-12-15 18:17:58 [INFO] [TRAIN] epoch=76, iter=28130/80000, loss=0.2411, lr=0.006771, batch_cost=1.1783, reader_cost=0.0001 | ETA 16:58:40 2020-12-15 18:18:11 [INFO] [TRAIN] epoch=76, iter=28140/80000, loss=0.1645, lr=0.006770, batch_cost=1.2722, reader_cost=0.0022 | ETA 18:19:34 2020-12-15 18:18:23 [INFO] [TRAIN] epoch=76, iter=28150/80000, loss=0.2015, lr=0.006769, batch_cost=1.1720, reader_cost=0.0001 | ETA 16:52:49 2020-12-15 18:18:36 [INFO] [TRAIN] epoch=76, iter=28160/80000, loss=0.1586, lr=0.006767, batch_cost=1.2956, reader_cost=0.0013 | ETA 18:39:26 2020-12-15 18:18:48 [INFO] [TRAIN] epoch=76, iter=28170/80000, loss=0.1975, lr=0.006766, batch_cost=1.1945, reader_cost=0.0042 | ETA 17:11:50 2020-12-15 18:18:59 [INFO] [TRAIN] epoch=76, iter=28180/80000, loss=0.1556, lr=0.006765, batch_cost=1.1756, reader_cost=0.0020 | ETA 16:55:20 2020-12-15 18:19:11 [INFO] [TRAIN] epoch=76, iter=28190/80000, loss=0.1199, lr=0.006764, batch_cost=1.1990, reader_cost=0.0001 | ETA 17:15:22 2020-12-15 18:19:23 [INFO] [TRAIN] epoch=76, iter=28200/80000, loss=0.2075, lr=0.006763, batch_cost=1.1955, reader_cost=0.0028 | ETA 17:12:05 2020-12-15 18:19:36 [INFO] [TRAIN] epoch=76, iter=28210/80000, loss=0.2120, lr=0.006762, batch_cost=1.2152, reader_cost=0.0013 | ETA 17:28:53 2020-12-15 18:19:44 [INFO] [TRAIN] epoch=76, iter=28220/80000, loss=0.1452, lr=0.006760, batch_cost=0.8222, reader_cost=0.0001 | ETA 11:49:33 2020-12-15 18:19:54 [INFO] [TRAIN] epoch=76, iter=28230/80000, loss=0.1733, lr=0.006759, batch_cost=0.9825, reader_cost=0.0038 | ETA 14:07:41 2020-12-15 18:20:06 [INFO] [TRAIN] epoch=76, iter=28240/80000, loss=0.1836, lr=0.006758, batch_cost=1.2302, reader_cost=0.0024 | ETA 17:41:13 2020-12-15 18:20:19 [INFO] [TRAIN] epoch=76, iter=28250/80000, loss=0.2021, lr=0.006757, batch_cost=1.3150, reader_cost=0.0017 | ETA 18:54:13 2020-12-15 18:20:31 [INFO] [TRAIN] epoch=76, iter=28260/80000, loss=0.2044, lr=0.006756, batch_cost=1.1921, reader_cost=0.0019 | ETA 17:07:58 2020-12-15 18:20:43 [INFO] [TRAIN] epoch=76, iter=28270/80000, loss=0.1969, lr=0.006755, batch_cost=1.1746, reader_cost=0.0007 | ETA 16:52:44 2020-12-15 18:20:56 [INFO] [TRAIN] epoch=77, iter=28280/80000, loss=0.2035, lr=0.006753, batch_cost=1.3363, reader_cost=0.0711 | ETA 19:11:55 2020-12-15 18:21:07 [INFO] [TRAIN] epoch=77, iter=28290/80000, loss=0.3359, lr=0.006752, batch_cost=1.1324, reader_cost=0.0014 | ETA 16:15:58 2020-12-15 18:21:21 [INFO] [TRAIN] epoch=77, iter=28300/80000, loss=0.2838, lr=0.006751, batch_cost=1.3180, reader_cost=0.0018 | ETA 18:55:40 2020-12-15 18:21:32 [INFO] [TRAIN] epoch=77, iter=28310/80000, loss=0.1492, lr=0.006750, batch_cost=1.1787, reader_cost=0.0031 | ETA 16:55:26 2020-12-15 18:21:45 [INFO] [TRAIN] epoch=77, iter=28320/80000, loss=0.1395, lr=0.006749, batch_cost=1.2460, reader_cost=0.0001 | ETA 17:53:14 2020-12-15 18:21:56 [INFO] [TRAIN] epoch=77, iter=28330/80000, loss=0.1810, lr=0.006747, batch_cost=1.1548, reader_cost=0.0001 | ETA 16:34:30 2020-12-15 18:22:09 [INFO] [TRAIN] epoch=77, iter=28340/80000, loss=0.1583, lr=0.006746, batch_cost=1.2765, reader_cost=0.0014 | ETA 18:19:03 2020-12-15 18:22:22 [INFO] [TRAIN] epoch=77, iter=28350/80000, loss=0.1583, lr=0.006745, batch_cost=1.2639, reader_cost=0.0021 | ETA 18:08:02 2020-12-15 18:22:34 [INFO] [TRAIN] epoch=77, iter=28360/80000, loss=0.1982, lr=0.006744, batch_cost=1.1748, reader_cost=0.0001 | ETA 16:51:08 2020-12-15 18:22:46 [INFO] [TRAIN] epoch=77, iter=28370/80000, loss=0.2652, lr=0.006743, batch_cost=1.1981, reader_cost=0.0006 | ETA 17:10:57 2020-12-15 18:22:58 [INFO] [TRAIN] epoch=77, iter=28380/80000, loss=0.2129, lr=0.006742, batch_cost=1.2071, reader_cost=0.0011 | ETA 17:18:30 2020-12-15 18:23:09 [INFO] [TRAIN] epoch=77, iter=28390/80000, loss=0.2121, lr=0.006740, batch_cost=1.1649, reader_cost=0.0013 | ETA 16:42:02 2020-12-15 18:23:20 [INFO] [TRAIN] epoch=77, iter=28400/80000, loss=0.1824, lr=0.006739, batch_cost=1.0576, reader_cost=0.0003 | ETA 15:09:33 2020-12-15 18:23:31 [INFO] [TRAIN] epoch=77, iter=28410/80000, loss=0.1618, lr=0.006738, batch_cost=1.1326, reader_cost=0.0001 | ETA 16:13:51 2020-12-15 18:23:43 [INFO] [TRAIN] epoch=77, iter=28420/80000, loss=0.1595, lr=0.006737, batch_cost=1.2204, reader_cost=0.0014 | ETA 17:29:09 2020-12-15 18:23:56 [INFO] [TRAIN] epoch=77, iter=28430/80000, loss=0.1723, lr=0.006736, batch_cost=1.2386, reader_cost=0.0028 | ETA 17:44:36 2020-12-15 18:24:08 [INFO] [TRAIN] epoch=77, iter=28440/80000, loss=0.1743, lr=0.006735, batch_cost=1.2012, reader_cost=0.0002 | ETA 17:12:11 2020-12-15 18:24:16 [INFO] [TRAIN] epoch=77, iter=28450/80000, loss=0.1996, lr=0.006733, batch_cost=0.7968, reader_cost=0.0001 | ETA 11:24:34 2020-12-15 18:24:27 [INFO] [TRAIN] epoch=77, iter=28460/80000, loss=0.1791, lr=0.006732, batch_cost=1.1522, reader_cost=0.0005 | ETA 16:29:44 2020-12-15 18:24:40 [INFO] [TRAIN] epoch=77, iter=28470/80000, loss=0.1325, lr=0.006731, batch_cost=1.2377, reader_cost=0.0018 | ETA 17:42:57 2020-12-15 18:24:51 [INFO] [TRAIN] epoch=77, iter=28480/80000, loss=0.2251, lr=0.006730, batch_cost=1.1231, reader_cost=0.0002 | ETA 16:04:20 2020-12-15 18:25:03 [INFO] [TRAIN] epoch=77, iter=28490/80000, loss=0.1719, lr=0.006729, batch_cost=1.1940, reader_cost=0.0013 | ETA 17:05:04 2020-12-15 18:25:15 [INFO] [TRAIN] epoch=77, iter=28500/80000, loss=0.1798, lr=0.006727, batch_cost=1.2308, reader_cost=0.0005 | ETA 17:36:25 2020-12-15 18:25:27 [INFO] [TRAIN] epoch=77, iter=28510/80000, loss=0.2296, lr=0.006726, batch_cost=1.2162, reader_cost=0.0001 | ETA 17:23:40 2020-12-15 18:25:39 [INFO] [TRAIN] epoch=77, iter=28520/80000, loss=0.1724, lr=0.006725, batch_cost=1.1807, reader_cost=0.0004 | ETA 16:53:03 2020-12-15 18:25:50 [INFO] [TRAIN] epoch=77, iter=28530/80000, loss=0.1770, lr=0.006724, batch_cost=1.1207, reader_cost=0.0048 | ETA 16:01:22 2020-12-15 18:26:02 [INFO] [TRAIN] epoch=77, iter=28540/80000, loss=0.1792, lr=0.006723, batch_cost=1.1651, reader_cost=0.0004 | ETA 16:39:13 2020-12-15 18:26:13 [INFO] [TRAIN] epoch=77, iter=28550/80000, loss=0.1256, lr=0.006722, batch_cost=1.1333, reader_cost=0.0005 | ETA 16:11:45 2020-12-15 18:26:25 [INFO] [TRAIN] epoch=77, iter=28560/80000, loss=0.1719, lr=0.006720, batch_cost=1.1526, reader_cost=0.0001 | ETA 16:28:10 2020-12-15 18:26:37 [INFO] [TRAIN] epoch=77, iter=28570/80000, loss=0.2638, lr=0.006719, batch_cost=1.2249, reader_cost=0.0001 | ETA 17:29:54 2020-12-15 18:26:50 [INFO] [TRAIN] epoch=77, iter=28580/80000, loss=0.1766, lr=0.006718, batch_cost=1.2478, reader_cost=0.0010 | ETA 17:49:23 2020-12-15 18:27:01 [INFO] [TRAIN] epoch=77, iter=28590/80000, loss=0.2755, lr=0.006717, batch_cost=1.1249, reader_cost=0.0005 | ETA 16:03:49 2020-12-15 18:27:14 [INFO] [TRAIN] epoch=77, iter=28600/80000, loss=0.1601, lr=0.006716, batch_cost=1.2724, reader_cost=0.0003 | ETA 18:10:01 2020-12-15 18:27:25 [INFO] [TRAIN] epoch=77, iter=28610/80000, loss=0.1744, lr=0.006715, batch_cost=1.1791, reader_cost=0.0021 | ETA 16:49:53 2020-12-15 18:27:38 [INFO] [TRAIN] epoch=77, iter=28620/80000, loss=0.2083, lr=0.006713, batch_cost=1.2350, reader_cost=0.0001 | ETA 17:37:36 2020-12-15 18:27:49 [INFO] [TRAIN] epoch=77, iter=28630/80000, loss=0.2156, lr=0.006712, batch_cost=1.1373, reader_cost=0.0001 | ETA 16:13:41 2020-12-15 18:28:03 [INFO] [TRAIN] epoch=77, iter=28640/80000, loss=0.1581, lr=0.006711, batch_cost=1.3948, reader_cost=0.0004 | ETA 19:53:57 2020-12-15 18:28:16 [INFO] [TRAIN] epoch=78, iter=28650/80000, loss=0.1487, lr=0.006710, batch_cost=1.2581, reader_cost=0.0700 | ETA 17:56:41 2020-12-15 18:28:28 [INFO] [TRAIN] epoch=78, iter=28660/80000, loss=0.1808, lr=0.006709, batch_cost=1.2343, reader_cost=0.0019 | ETA 17:36:06 2020-12-15 18:28:39 [INFO] [TRAIN] epoch=78, iter=28670/80000, loss=0.2280, lr=0.006708, batch_cost=1.1196, reader_cost=0.0003 | ETA 15:57:47 2020-12-15 18:28:47 [INFO] [TRAIN] epoch=78, iter=28680/80000, loss=0.1445, lr=0.006706, batch_cost=0.8171, reader_cost=0.0001 | ETA 11:38:52 2020-12-15 18:28:58 [INFO] [TRAIN] epoch=78, iter=28690/80000, loss=0.2203, lr=0.006705, batch_cost=1.0346, reader_cost=0.0023 | ETA 14:44:43 2020-12-15 18:29:11 [INFO] [TRAIN] epoch=78, iter=28700/80000, loss=0.2150, lr=0.006704, batch_cost=1.3302, reader_cost=0.0012 | ETA 18:57:19 2020-12-15 18:29:24 [INFO] [TRAIN] epoch=78, iter=28710/80000, loss=0.2182, lr=0.006703, batch_cost=1.2811, reader_cost=0.0002 | ETA 18:15:10 2020-12-15 18:29:37 [INFO] [TRAIN] epoch=78, iter=28720/80000, loss=0.3246, lr=0.006702, batch_cost=1.3110, reader_cost=0.0014 | ETA 18:40:27 2020-12-15 18:29:49 [INFO] [TRAIN] epoch=78, iter=28730/80000, loss=0.1899, lr=0.006700, batch_cost=1.2081, reader_cost=0.0001 | ETA 17:12:21 2020-12-15 18:30:02 [INFO] [TRAIN] epoch=78, iter=28740/80000, loss=0.2203, lr=0.006699, batch_cost=1.3181, reader_cost=0.0015 | ETA 18:46:07 2020-12-15 18:30:16 [INFO] [TRAIN] epoch=78, iter=28750/80000, loss=0.1678, lr=0.006698, batch_cost=1.3623, reader_cost=0.0002 | ETA 19:23:39 2020-12-15 18:30:29 [INFO] [TRAIN] epoch=78, iter=28760/80000, loss=0.1693, lr=0.006697, batch_cost=1.3030, reader_cost=0.0009 | ETA 18:32:46 2020-12-15 18:30:41 [INFO] [TRAIN] epoch=78, iter=28770/80000, loss=0.1882, lr=0.006696, batch_cost=1.2085, reader_cost=0.0026 | ETA 17:11:50 2020-12-15 18:30:52 [INFO] [TRAIN] epoch=78, iter=28780/80000, loss=0.2252, lr=0.006695, batch_cost=1.1575, reader_cost=0.0001 | ETA 16:28:06 2020-12-15 18:31:05 [INFO] [TRAIN] epoch=78, iter=28790/80000, loss=0.1857, lr=0.006693, batch_cost=1.2321, reader_cost=0.0031 | ETA 17:31:36 2020-12-15 18:31:18 [INFO] [TRAIN] epoch=78, iter=28800/80000, loss=0.1836, lr=0.006692, batch_cost=1.2826, reader_cost=0.0024 | ETA 18:14:27 2020-12-15 18:31:30 [INFO] [TRAIN] epoch=78, iter=28810/80000, loss=0.1904, lr=0.006691, batch_cost=1.2048, reader_cost=0.0002 | ETA 17:07:53 2020-12-15 18:31:41 [INFO] [TRAIN] epoch=78, iter=28820/80000, loss=0.1691, lr=0.006690, batch_cost=1.1649, reader_cost=0.0018 | ETA 16:33:37 2020-12-15 18:31:53 [INFO] [TRAIN] epoch=78, iter=28830/80000, loss=0.2920, lr=0.006689, batch_cost=1.1913, reader_cost=0.0003 | ETA 16:55:58 2020-12-15 18:32:06 [INFO] [TRAIN] epoch=78, iter=28840/80000, loss=0.1723, lr=0.006688, batch_cost=1.3177, reader_cost=0.0014 | ETA 18:43:34 2020-12-15 18:32:19 [INFO] [TRAIN] epoch=78, iter=28850/80000, loss=0.2360, lr=0.006686, batch_cost=1.2198, reader_cost=0.0030 | ETA 17:19:54 2020-12-15 18:32:30 [INFO] [TRAIN] epoch=78, iter=28860/80000, loss=0.1321, lr=0.006685, batch_cost=1.1799, reader_cost=0.0002 | ETA 16:45:37 2020-12-15 18:32:42 [INFO] [TRAIN] epoch=78, iter=28870/80000, loss=0.1649, lr=0.006684, batch_cost=1.1287, reader_cost=0.0001 | ETA 16:01:48 2020-12-15 18:32:54 [INFO] [TRAIN] epoch=78, iter=28880/80000, loss=0.1668, lr=0.006683, batch_cost=1.2378, reader_cost=0.0019 | ETA 17:34:37 2020-12-15 18:33:07 [INFO] [TRAIN] epoch=78, iter=28890/80000, loss=0.1706, lr=0.006682, batch_cost=1.2556, reader_cost=0.0016 | ETA 17:49:35 2020-12-15 18:33:18 [INFO] [TRAIN] epoch=78, iter=28900/80000, loss=0.2532, lr=0.006680, batch_cost=1.1554, reader_cost=0.0001 | ETA 16:24:01 2020-12-15 18:33:27 [INFO] [TRAIN] epoch=78, iter=28910/80000, loss=0.2713, lr=0.006679, batch_cost=0.8400, reader_cost=0.0001 | ETA 11:55:14 2020-12-15 18:33:37 [INFO] [TRAIN] epoch=78, iter=28920/80000, loss=0.1858, lr=0.006678, batch_cost=1.0769, reader_cost=0.0001 | ETA 15:16:49 2020-12-15 18:33:50 [INFO] [TRAIN] epoch=78, iter=28930/80000, loss=0.1738, lr=0.006677, batch_cost=1.2914, reader_cost=0.0012 | ETA 18:19:12 2020-12-15 18:34:03 [INFO] [TRAIN] epoch=78, iter=28940/80000, loss=0.1772, lr=0.006676, batch_cost=1.2492, reader_cost=0.0027 | ETA 17:43:02 2020-12-15 18:34:16 [INFO] [TRAIN] epoch=78, iter=28950/80000, loss=0.1922, lr=0.006675, batch_cost=1.3059, reader_cost=0.0011 | ETA 18:31:07 2020-12-15 18:34:28 [INFO] [TRAIN] epoch=78, iter=28960/80000, loss=0.1725, lr=0.006673, batch_cost=1.2034, reader_cost=0.0001 | ETA 17:03:40 2020-12-15 18:34:40 [INFO] [TRAIN] epoch=78, iter=28970/80000, loss=0.2142, lr=0.006672, batch_cost=1.1968, reader_cost=0.0009 | ETA 16:57:54 2020-12-15 18:34:53 [INFO] [TRAIN] epoch=78, iter=28980/80000, loss=0.2055, lr=0.006671, batch_cost=1.2745, reader_cost=0.0022 | ETA 18:03:43 2020-12-15 18:35:04 [INFO] [TRAIN] epoch=78, iter=28990/80000, loss=0.2137, lr=0.006670, batch_cost=1.1897, reader_cost=0.0002 | ETA 16:51:27 2020-12-15 18:35:16 [INFO] [TRAIN] epoch=78, iter=29000/80000, loss=0.1528, lr=0.006669, batch_cost=1.1143, reader_cost=0.0009 | ETA 15:47:08 aug_eval False scales 1.0 2020-12-15 18:35:16 [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 2020-12-15 18:36:07 [INFO] [EVAL] #Images=500 mIoU=0.7493 Acc=0.9565 Kappa=0.9436 2020-12-15 18:36:07 [INFO] [EVAL] Class IoU: [0.9813 0.8469 0.9173 0.5586 0.5304 0.5773 0.6569 0.7498 0.917 0.6221 0.9433 0.7835 0.5689 0.9429 0.7455 0.8291 0.6791 0.6378 0.7496] 2020-12-15 18:36:07 [INFO] [EVAL] Class Acc: [0.9907 0.9192 0.9534 0.7593 0.816 0.7625 0.7529 0.9174 0.9477 0.8513 0.9693 0.8403 0.7719 0.9686 0.8506 0.8742 0.7567 0.7944 0.8747] 2020-12-15 18:36:14 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 18:36:27 [INFO] [TRAIN] epoch=78, iter=29010/80000, loss=0.1844, lr=0.006668, batch_cost=1.3042, reader_cost=0.0036 | ETA 18:28:19 2020-12-15 18:36:39 [INFO] [TRAIN] epoch=79, iter=29020/80000, loss=0.2783, lr=0.006666, batch_cost=1.2493, reader_cost=0.0585 | ETA 17:41:28 2020-12-15 18:36:52 [INFO] [TRAIN] epoch=79, iter=29030/80000, loss=0.2016, lr=0.006665, batch_cost=1.2711, reader_cost=0.0020 | ETA 17:59:50 2020-12-15 18:37:06 [INFO] [TRAIN] epoch=79, iter=29040/80000, loss=0.1855, lr=0.006664, batch_cost=1.3609, reader_cost=0.0001 | ETA 19:15:52 2020-12-15 18:37:18 [INFO] [TRAIN] epoch=79, iter=29050/80000, loss=0.2201, lr=0.006663, batch_cost=1.2022, reader_cost=0.0001 | ETA 17:00:49 2020-12-15 18:37:31 [INFO] [TRAIN] epoch=79, iter=29060/80000, loss=0.1825, lr=0.006662, batch_cost=1.3240, reader_cost=0.0002 | ETA 18:44:02 2020-12-15 18:37:43 [INFO] [TRAIN] epoch=79, iter=29070/80000, loss=0.2059, lr=0.006660, batch_cost=1.2332, reader_cost=0.0002 | ETA 17:26:45 2020-12-15 18:37:52 [INFO] [TRAIN] epoch=79, iter=29080/80000, loss=0.2049, lr=0.006659, batch_cost=0.8760, reader_cost=0.0001 | ETA 12:23:24 2020-12-15 18:38:02 [INFO] [TRAIN] epoch=79, iter=29090/80000, loss=0.1547, lr=0.006658, batch_cost=1.0145, reader_cost=0.0019 | ETA 14:20:49 2020-12-15 18:38:13 [INFO] [TRAIN] epoch=79, iter=29100/80000, loss=0.2135, lr=0.006657, batch_cost=1.0814, reader_cost=0.0004 | ETA 15:17:22 2020-12-15 18:38:21 [INFO] [TRAIN] epoch=79, iter=29110/80000, loss=0.2162, lr=0.006656, batch_cost=0.8092, reader_cost=0.0001 | ETA 11:26:22 2020-12-15 18:38:29 [INFO] [TRAIN] epoch=79, iter=29120/80000, loss=0.2097, lr=0.006655, batch_cost=0.7930, reader_cost=0.0001 | ETA 11:12:28 2020-12-15 18:38:37 [INFO] [TRAIN] epoch=79, iter=29130/80000, loss=0.2193, lr=0.006653, batch_cost=0.8193, reader_cost=0.0001 | ETA 11:34:37 2020-12-15 18:38:45 [INFO] [TRAIN] epoch=79, iter=29140/80000, loss=0.1564, lr=0.006652, batch_cost=0.8142, reader_cost=0.0001 | ETA 11:30:09 2020-12-15 18:38:57 [INFO] [TRAIN] epoch=79, iter=29150/80000, loss=0.2627, lr=0.006651, batch_cost=1.1992, reader_cost=0.0004 | ETA 16:56:18 2020-12-15 18:39:09 [INFO] [TRAIN] epoch=79, iter=29160/80000, loss=0.1835, lr=0.006650, batch_cost=1.1862, reader_cost=0.0024 | ETA 16:45:05 2020-12-15 18:39:21 [INFO] [TRAIN] epoch=79, iter=29170/80000, loss=0.2189, lr=0.006649, batch_cost=1.1768, reader_cost=0.0001 | ETA 16:36:56 2020-12-15 18:39:33 [INFO] [TRAIN] epoch=79, iter=29180/80000, loss=0.1462, lr=0.006647, batch_cost=1.1468, reader_cost=0.0006 | ETA 16:11:18 2020-12-15 18:39:46 [INFO] [TRAIN] epoch=79, iter=29190/80000, loss=0.2100, lr=0.006646, batch_cost=1.3349, reader_cost=0.0006 | ETA 18:50:27 2020-12-15 18:39:59 [INFO] [TRAIN] epoch=79, iter=29200/80000, loss=0.2579, lr=0.006645, batch_cost=1.3496, reader_cost=0.0002 | ETA 19:02:41 2020-12-15 18:40:12 [INFO] [TRAIN] epoch=79, iter=29210/80000, loss=0.2329, lr=0.006644, batch_cost=1.2848, reader_cost=0.0001 | ETA 18:07:36 2020-12-15 18:40:25 [INFO] [TRAIN] epoch=79, iter=29220/80000, loss=0.2392, lr=0.006643, batch_cost=1.2398, reader_cost=0.0001 | ETA 17:29:17 2020-12-15 18:40:36 [INFO] [TRAIN] epoch=79, iter=29230/80000, loss=0.2545, lr=0.006642, batch_cost=1.1597, reader_cost=0.0001 | ETA 16:21:17 2020-12-15 18:40:49 [INFO] [TRAIN] epoch=79, iter=29240/80000, loss=0.1649, lr=0.006640, batch_cost=1.2669, reader_cost=0.0011 | ETA 17:51:47 2020-12-15 18:41:02 [INFO] [TRAIN] epoch=79, iter=29250/80000, loss=0.1971, lr=0.006639, batch_cost=1.3093, reader_cost=0.0005 | ETA 18:27:28 2020-12-15 18:41:15 [INFO] [TRAIN] epoch=79, iter=29260/80000, loss=0.1601, lr=0.006638, batch_cost=1.2870, reader_cost=0.0031 | ETA 18:08:24 2020-12-15 18:41:27 [INFO] [TRAIN] epoch=79, iter=29270/80000, loss=0.1688, lr=0.006637, batch_cost=1.2004, reader_cost=0.0015 | ETA 16:54:54 2020-12-15 18:41:39 [INFO] [TRAIN] epoch=79, iter=29280/80000, loss=0.1336, lr=0.006636, batch_cost=1.2020, reader_cost=0.0001 | ETA 16:56:06 2020-12-15 18:41:51 [INFO] [TRAIN] epoch=79, iter=29290/80000, loss=0.2514, lr=0.006635, batch_cost=1.1871, reader_cost=0.0029 | ETA 16:43:20 2020-12-15 18:42:03 [INFO] [TRAIN] epoch=79, iter=29300/80000, loss=0.2745, lr=0.006633, batch_cost=1.1996, reader_cost=0.0001 | ETA 16:53:40 2020-12-15 18:42:15 [INFO] [TRAIN] epoch=79, iter=29310/80000, loss=0.3256, lr=0.006632, batch_cost=1.2008, reader_cost=0.0001 | ETA 16:54:29 2020-12-15 18:42:27 [INFO] [TRAIN] epoch=79, iter=29320/80000, loss=0.1947, lr=0.006631, batch_cost=1.1872, reader_cost=0.0001 | ETA 16:42:49 2020-12-15 18:42:39 [INFO] [TRAIN] epoch=79, iter=29330/80000, loss=0.3007, lr=0.006630, batch_cost=1.2146, reader_cost=0.0027 | ETA 17:05:41 2020-12-15 18:42:49 [INFO] [TRAIN] epoch=79, iter=29340/80000, loss=0.1747, lr=0.006629, batch_cost=1.0097, reader_cost=0.0007 | ETA 14:12:32 2020-12-15 18:42:57 [INFO] [TRAIN] epoch=79, iter=29350/80000, loss=0.2383, lr=0.006627, batch_cost=0.8450, reader_cost=0.0001 | ETA 11:53:20 2020-12-15 18:43:09 [INFO] [TRAIN] epoch=79, iter=29360/80000, loss=0.1975, lr=0.006626, batch_cost=1.1239, reader_cost=0.0001 | ETA 15:48:31 2020-12-15 18:43:22 [INFO] [TRAIN] epoch=79, iter=29370/80000, loss=0.3103, lr=0.006625, batch_cost=1.3090, reader_cost=0.0001 | ETA 18:24:36 2020-12-15 18:43:34 [INFO] [TRAIN] epoch=79, iter=29380/80000, loss=0.3521, lr=0.006624, batch_cost=1.2129, reader_cost=0.0001 | ETA 17:03:16 2020-12-15 18:43:45 [INFO] [TRAIN] epoch=80, iter=29390/80000, loss=0.2253, lr=0.006623, batch_cost=1.1005, reader_cost=0.0802 | ETA 15:28:17 2020-12-15 18:43:57 [INFO] [TRAIN] epoch=80, iter=29400/80000, loss=0.2713, lr=0.006622, batch_cost=1.1732, reader_cost=0.0003 | ETA 16:29:24 2020-12-15 18:44:08 [INFO] [TRAIN] epoch=80, iter=29410/80000, loss=0.2096, lr=0.006620, batch_cost=1.1154, reader_cost=0.0030 | ETA 15:40:28 2020-12-15 18:44:20 [INFO] [TRAIN] epoch=80, iter=29420/80000, loss=0.2657, lr=0.006619, batch_cost=1.2214, reader_cost=0.0010 | ETA 17:09:39 2020-12-15 18:44:32 [INFO] [TRAIN] epoch=80, iter=29430/80000, loss=0.1919, lr=0.006618, batch_cost=1.1930, reader_cost=0.0020 | ETA 16:45:29 2020-12-15 18:44:44 [INFO] [TRAIN] epoch=80, iter=29440/80000, loss=0.2971, lr=0.006617, batch_cost=1.2004, reader_cost=0.0041 | ETA 16:51:31 2020-12-15 18:44:56 [INFO] [TRAIN] epoch=80, iter=29450/80000, loss=0.1999, lr=0.006616, batch_cost=1.2284, reader_cost=0.0005 | ETA 17:14:54 2020-12-15 18:45:09 [INFO] [TRAIN] epoch=80, iter=29460/80000, loss=0.2190, lr=0.006615, batch_cost=1.2352, reader_cost=0.0014 | ETA 17:20:29 2020-12-15 18:45:20 [INFO] [TRAIN] epoch=80, iter=29470/80000, loss=0.2502, lr=0.006613, batch_cost=1.1807, reader_cost=0.0001 | ETA 16:34:21 2020-12-15 18:45:33 [INFO] [TRAIN] epoch=80, iter=29480/80000, loss=0.1784, lr=0.006612, batch_cost=1.2195, reader_cost=0.0021 | ETA 17:06:50 2020-12-15 18:45:45 [INFO] [TRAIN] epoch=80, iter=29490/80000, loss=0.1702, lr=0.006611, batch_cost=1.2600, reader_cost=0.0012 | ETA 17:40:44 2020-12-15 18:45:57 [INFO] [TRAIN] epoch=80, iter=29500/80000, loss=0.1973, lr=0.006610, batch_cost=1.2195, reader_cost=0.0001 | ETA 17:06:25 2020-12-15 18:46:09 [INFO] [TRAIN] epoch=80, iter=29510/80000, loss=0.1675, lr=0.006609, batch_cost=1.1230, reader_cost=0.0001 | ETA 15:45:01 2020-12-15 18:46:20 [INFO] [TRAIN] epoch=80, iter=29520/80000, loss=0.2014, lr=0.006607, batch_cost=1.1733, reader_cost=0.0019 | ETA 16:27:09 2020-12-15 18:46:32 [INFO] [TRAIN] epoch=80, iter=29530/80000, loss=0.3016, lr=0.006606, batch_cost=1.1387, reader_cost=0.0024 | ETA 15:57:50 2020-12-15 18:46:44 [INFO] [TRAIN] epoch=80, iter=29540/80000, loss=0.2321, lr=0.006605, batch_cost=1.2450, reader_cost=0.0009 | ETA 17:27:04 2020-12-15 18:46:56 [INFO] [TRAIN] epoch=80, iter=29550/80000, loss=0.2258, lr=0.006604, batch_cost=1.2187, reader_cost=0.0002 | ETA 17:04:44 2020-12-15 18:47:10 [INFO] [TRAIN] epoch=80, iter=29560/80000, loss=0.2115, lr=0.006603, batch_cost=1.3275, reader_cost=0.0006 | ETA 18:36:01 2020-12-15 18:47:20 [INFO] [TRAIN] epoch=80, iter=29570/80000, loss=0.2551, lr=0.006602, batch_cost=0.9963, reader_cost=0.0001 | ETA 13:57:24 2020-12-15 18:47:29 [INFO] [TRAIN] epoch=80, iter=29580/80000, loss=0.2118, lr=0.006600, batch_cost=0.9022, reader_cost=0.0001 | ETA 12:38:07 2020-12-15 18:47:41 [INFO] [TRAIN] epoch=80, iter=29590/80000, loss=0.1809, lr=0.006599, batch_cost=1.2371, reader_cost=0.0011 | ETA 17:19:24 2020-12-15 18:47:53 [INFO] [TRAIN] epoch=80, iter=29600/80000, loss=0.2280, lr=0.006598, batch_cost=1.2118, reader_cost=0.0001 | ETA 16:57:53 2020-12-15 18:48:04 [INFO] [TRAIN] epoch=80, iter=29610/80000, loss=0.2998, lr=0.006597, batch_cost=1.1436, reader_cost=0.0013 | ETA 16:00:26 2020-12-15 18:48:16 [INFO] [TRAIN] epoch=80, iter=29620/80000, loss=0.1631, lr=0.006596, batch_cost=1.1592, reader_cost=0.0011 | ETA 16:13:18 2020-12-15 18:48:27 [INFO] [TRAIN] epoch=80, iter=29630/80000, loss=0.2076, lr=0.006594, batch_cost=1.0855, reader_cost=0.0014 | ETA 15:11:14 2020-12-15 18:48:39 [INFO] [TRAIN] epoch=80, iter=29640/80000, loss=0.1805, lr=0.006593, batch_cost=1.2012, reader_cost=0.0009 | ETA 16:48:13 2020-12-15 18:48:51 [INFO] [TRAIN] epoch=80, iter=29650/80000, loss=0.2234, lr=0.006592, batch_cost=1.2468, reader_cost=0.0005 | ETA 17:26:17 2020-12-15 18:49:04 [INFO] [TRAIN] epoch=80, iter=29660/80000, loss=0.2046, lr=0.006591, batch_cost=1.2814, reader_cost=0.0001 | ETA 17:55:06 2020-12-15 18:49:17 [INFO] [TRAIN] epoch=80, iter=29670/80000, loss=0.1510, lr=0.006590, batch_cost=1.3197, reader_cost=0.0013 | ETA 18:27:00 2020-12-15 18:49:30 [INFO] [TRAIN] epoch=80, iter=29680/80000, loss=0.4090, lr=0.006589, batch_cost=1.2725, reader_cost=0.0009 | ETA 17:47:14 2020-12-15 18:49:42 [INFO] [TRAIN] epoch=80, iter=29690/80000, loss=0.2474, lr=0.006587, batch_cost=1.1965, reader_cost=0.0030 | ETA 16:43:13 2020-12-15 18:49:55 [INFO] [TRAIN] epoch=80, iter=29700/80000, loss=0.1931, lr=0.006586, batch_cost=1.2930, reader_cost=0.0031 | ETA 18:03:57 2020-12-15 18:50:08 [INFO] [TRAIN] epoch=80, iter=29710/80000, loss=0.1765, lr=0.006585, batch_cost=1.2524, reader_cost=0.0009 | ETA 17:29:41 2020-12-15 18:50:21 [INFO] [TRAIN] epoch=80, iter=29720/80000, loss=0.1402, lr=0.006584, batch_cost=1.3011, reader_cost=0.0001 | ETA 18:10:21 2020-12-15 18:50:32 [INFO] [TRAIN] epoch=80, iter=29730/80000, loss=0.1426, lr=0.006583, batch_cost=1.1404, reader_cost=0.0001 | ETA 15:55:29 2020-12-15 18:50:43 [INFO] [TRAIN] epoch=80, iter=29740/80000, loss=0.1701, lr=0.006582, batch_cost=1.1124, reader_cost=0.0012 | ETA 15:31:50 2020-12-15 18:50:55 [INFO] [TRAIN] epoch=80, iter=29750/80000, loss=0.2361, lr=0.006580, batch_cost=1.2375, reader_cost=0.0028 | ETA 17:16:26 2020-12-15 18:51:05 [INFO] [TRAIN] epoch=80, iter=29760/80000, loss=0.1550, lr=0.006579, batch_cost=0.9375, reader_cost=0.0016 | ETA 13:05:00 2020-12-15 18:51:19 [INFO] [TRAIN] epoch=81, iter=29770/80000, loss=0.2012, lr=0.006578, batch_cost=1.3914, reader_cost=0.0842 | ETA 19:24:52 2020-12-15 18:51:32 [INFO] [TRAIN] epoch=81, iter=29780/80000, loss=0.1403, lr=0.006577, batch_cost=1.2728, reader_cost=0.0001 | ETA 17:45:22 2020-12-15 18:51:45 [INFO] [TRAIN] epoch=81, iter=29790/80000, loss=0.3029, lr=0.006576, batch_cost=1.3148, reader_cost=0.0001 | ETA 18:20:16 2020-12-15 18:51:53 [INFO] [TRAIN] epoch=81, iter=29800/80000, loss=0.2435, lr=0.006574, batch_cost=0.7935, reader_cost=0.0001 | ETA 11:03:54 2020-12-15 18:52:03 [INFO] [TRAIN] epoch=81, iter=29810/80000, loss=0.2242, lr=0.006573, batch_cost=0.9984, reader_cost=0.0025 | ETA 13:55:07 2020-12-15 18:52:14 [INFO] [TRAIN] epoch=81, iter=29820/80000, loss=0.1661, lr=0.006572, batch_cost=1.1484, reader_cost=0.0018 | ETA 16:00:25 2020-12-15 18:52:27 [INFO] [TRAIN] epoch=81, iter=29830/80000, loss=0.2528, lr=0.006571, batch_cost=1.2632, reader_cost=0.0005 | ETA 17:36:17 2020-12-15 18:52:39 [INFO] [TRAIN] epoch=81, iter=29840/80000, loss=0.2254, lr=0.006570, batch_cost=1.2396, reader_cost=0.0046 | ETA 17:16:19 2020-12-15 18:52:52 [INFO] [TRAIN] epoch=81, iter=29850/80000, loss=0.1859, lr=0.006569, batch_cost=1.2845, reader_cost=0.0038 | ETA 17:53:36 2020-12-15 18:53:03 [INFO] [TRAIN] epoch=81, iter=29860/80000, loss=0.2200, lr=0.006567, batch_cost=1.1224, reader_cost=0.0005 | ETA 15:37:55 2020-12-15 18:53:15 [INFO] [TRAIN] epoch=81, iter=29870/80000, loss=0.1782, lr=0.006566, batch_cost=1.1629, reader_cost=0.0001 | ETA 16:11:35 2020-12-15 18:53:27 [INFO] [TRAIN] epoch=81, iter=29880/80000, loss=0.1477, lr=0.006565, batch_cost=1.2080, reader_cost=0.0045 | ETA 16:49:04 2020-12-15 18:53:39 [INFO] [TRAIN] epoch=81, iter=29890/80000, loss=0.1701, lr=0.006564, batch_cost=1.1809, reader_cost=0.0031 | ETA 16:26:14 2020-12-15 18:53:52 [INFO] [TRAIN] epoch=81, iter=29900/80000, loss=0.2199, lr=0.006563, batch_cost=1.3063, reader_cost=0.0001 | ETA 18:10:44 2020-12-15 18:54:04 [INFO] [TRAIN] epoch=81, iter=29910/80000, loss=0.1853, lr=0.006561, batch_cost=1.2099, reader_cost=0.0001 | ETA 16:50:04 2020-12-15 18:54:16 [INFO] [TRAIN] epoch=81, iter=29920/80000, loss=0.2202, lr=0.006560, batch_cost=1.2597, reader_cost=0.0019 | ETA 17:31:26 2020-12-15 18:54:29 [INFO] [TRAIN] epoch=81, iter=29930/80000, loss=0.1781, lr=0.006559, batch_cost=1.2900, reader_cost=0.0002 | ETA 17:56:28 2020-12-15 18:54:41 [INFO] [TRAIN] epoch=81, iter=29940/80000, loss=0.1722, lr=0.006558, batch_cost=1.1893, reader_cost=0.0005 | ETA 16:32:18 2020-12-15 18:54:53 [INFO] [TRAIN] epoch=81, iter=29950/80000, loss=0.1884, lr=0.006557, batch_cost=1.2078, reader_cost=0.0017 | ETA 16:47:28 2020-12-15 18:55:06 [INFO] [TRAIN] epoch=81, iter=29960/80000, loss=0.1790, lr=0.006556, batch_cost=1.2559, reader_cost=0.0025 | ETA 17:27:25 2020-12-15 18:55:18 [INFO] [TRAIN] epoch=81, iter=29970/80000, loss=0.1809, lr=0.006554, batch_cost=1.2160, reader_cost=0.0051 | ETA 16:53:54 2020-12-15 18:55:30 [INFO] [TRAIN] epoch=81, iter=29980/80000, loss=0.1698, lr=0.006553, batch_cost=1.1799, reader_cost=0.0003 | ETA 16:23:37 2020-12-15 18:55:42 [INFO] [TRAIN] epoch=81, iter=29990/80000, loss=0.1886, lr=0.006552, batch_cost=1.2399, reader_cost=0.0017 | ETA 17:13:27 2020-12-15 18:55:55 [INFO] [TRAIN] epoch=81, iter=30000/80000, loss=0.1928, lr=0.006551, batch_cost=1.2430, reader_cost=0.0007 | ETA 17:15:51 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 18:55:55 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 18:56:45 [INFO] [EVAL] #Images=500 mIoU=0.7628 Acc=0.9564 Kappa=0.9434 2020-12-15 18:56:45 [INFO] [EVAL] Class IoU: [0.977 0.819 0.923 0.5077 0.6123 0.5943 0.6927 0.77 0.916 0.6026 0.9427 0.7948 0.5571 0.9469 0.8384 0.8675 0.7796 0.5923 0.7586] 2020-12-15 18:56:45 [INFO] [EVAL] Class Acc: [0.9867 0.9073 0.9628 0.7869 0.803 0.7481 0.8128 0.8813 0.9434 0.8675 0.9697 0.8611 0.8377 0.9685 0.9461 0.9298 0.8618 0.8754 0.8375] 2020-12-15 18:56:52 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 18:57:04 [INFO] [TRAIN] epoch=81, iter=30010/80000, loss=0.1602, lr=0.006550, batch_cost=1.1664, reader_cost=0.0001 | ETA 16:11:50 2020-12-15 18:57:15 [INFO] [TRAIN] epoch=81, iter=30020/80000, loss=0.1815, lr=0.006549, batch_cost=1.1538, reader_cost=0.0027 | ETA 16:01:08 2020-12-15 18:57:27 [INFO] [TRAIN] epoch=81, iter=30030/80000, loss=0.1876, lr=0.006547, batch_cost=1.2350, reader_cost=0.0014 | ETA 17:08:32 2020-12-15 18:57:41 [INFO] [TRAIN] epoch=81, iter=30040/80000, loss=0.2588, lr=0.006546, batch_cost=1.3275, reader_cost=0.0005 | ETA 18:25:23 2020-12-15 18:57:53 [INFO] [TRAIN] epoch=81, iter=30050/80000, loss=0.2475, lr=0.006545, batch_cost=1.2566, reader_cost=0.0020 | ETA 17:26:07 2020-12-15 18:58:06 [INFO] [TRAIN] epoch=81, iter=30060/80000, loss=0.1506, lr=0.006544, batch_cost=1.2656, reader_cost=0.0001 | ETA 17:33:22 2020-12-15 18:58:18 [INFO] [TRAIN] epoch=81, iter=30070/80000, loss=0.1891, lr=0.006543, batch_cost=1.2529, reader_cost=0.0001 | ETA 17:22:38 2020-12-15 18:58:31 [INFO] [TRAIN] epoch=81, iter=30080/80000, loss=0.1909, lr=0.006541, batch_cost=1.2459, reader_cost=0.0019 | ETA 17:16:34 2020-12-15 18:58:43 [INFO] [TRAIN] epoch=81, iter=30090/80000, loss=0.1666, lr=0.006540, batch_cost=1.1790, reader_cost=0.0022 | ETA 16:20:42 2020-12-15 18:58:56 [INFO] [TRAIN] epoch=81, iter=30100/80000, loss=0.1641, lr=0.006539, batch_cost=1.3439, reader_cost=0.0004 | ETA 18:37:38 2020-12-15 18:59:08 [INFO] [TRAIN] epoch=81, iter=30110/80000, loss=0.3116, lr=0.006538, batch_cost=1.2089, reader_cost=0.0002 | ETA 16:45:13 2020-12-15 18:59:22 [INFO] [TRAIN] epoch=81, iter=30120/80000, loss=0.1825, lr=0.006537, batch_cost=1.3311, reader_cost=0.0001 | ETA 18:26:32 2020-12-15 18:59:33 [INFO] [TRAIN] epoch=81, iter=30130/80000, loss=0.3162, lr=0.006536, batch_cost=1.1346, reader_cost=0.0025 | ETA 15:43:03 2020-12-15 18:59:47 [INFO] [TRAIN] epoch=82, iter=30140/80000, loss=0.2216, lr=0.006534, batch_cost=1.3683, reader_cost=0.0561 | ETA 18:57:04 2020-12-15 18:59:59 [INFO] [TRAIN] epoch=82, iter=30150/80000, loss=0.2251, lr=0.006533, batch_cost=1.2316, reader_cost=0.0022 | ETA 17:03:16 2020-12-15 19:00:10 [INFO] [TRAIN] epoch=82, iter=30160/80000, loss=0.1793, lr=0.006532, batch_cost=1.0893, reader_cost=0.0008 | ETA 15:04:48 2020-12-15 19:00:22 [INFO] [TRAIN] epoch=82, iter=30170/80000, loss=0.2899, lr=0.006531, batch_cost=1.2603, reader_cost=0.0001 | ETA 17:26:42 2020-12-15 19:00:35 [INFO] [TRAIN] epoch=82, iter=30180/80000, loss=0.2098, lr=0.006530, batch_cost=1.2715, reader_cost=0.0005 | ETA 17:35:44 2020-12-15 19:00:45 [INFO] [TRAIN] epoch=82, iter=30190/80000, loss=0.1930, lr=0.006528, batch_cost=1.0016, reader_cost=0.0019 | ETA 13:51:31 2020-12-15 19:00:53 [INFO] [TRAIN] epoch=82, iter=30200/80000, loss=0.1665, lr=0.006527, batch_cost=0.8207, reader_cost=0.0001 | ETA 11:21:08 2020-12-15 19:01:03 [INFO] [TRAIN] epoch=82, iter=30210/80000, loss=0.1505, lr=0.006526, batch_cost=1.0094, reader_cost=0.0001 | ETA 13:57:35 2020-12-15 19:01:15 [INFO] [TRAIN] epoch=82, iter=30220/80000, loss=0.1903, lr=0.006525, batch_cost=1.1546, reader_cost=0.0001 | ETA 15:57:54 2020-12-15 19:01:28 [INFO] [TRAIN] epoch=82, iter=30230/80000, loss=0.1769, lr=0.006524, batch_cost=1.2882, reader_cost=0.0025 | ETA 17:48:34 2020-12-15 19:01:39 [INFO] [TRAIN] epoch=82, iter=30240/80000, loss=0.1858, lr=0.006523, batch_cost=1.1597, reader_cost=0.0001 | ETA 16:01:48 2020-12-15 19:01:52 [INFO] [TRAIN] epoch=82, iter=30250/80000, loss=0.1719, lr=0.006521, batch_cost=1.3046, reader_cost=0.0005 | ETA 18:01:46 2020-12-15 19:02:04 [INFO] [TRAIN] epoch=82, iter=30260/80000, loss=0.2433, lr=0.006520, batch_cost=1.1960, reader_cost=0.0032 | ETA 16:31:27 2020-12-15 19:02:18 [INFO] [TRAIN] epoch=82, iter=30270/80000, loss=0.1435, lr=0.006519, batch_cost=1.3239, reader_cost=0.0001 | ETA 18:17:18 2020-12-15 19:02:29 [INFO] [TRAIN] epoch=82, iter=30280/80000, loss=0.1821, lr=0.006518, batch_cost=1.1805, reader_cost=0.0014 | ETA 16:18:12 2020-12-15 19:02:41 [INFO] [TRAIN] epoch=82, iter=30290/80000, loss=0.1633, lr=0.006517, batch_cost=1.1190, reader_cost=0.0018 | ETA 15:27:07 2020-12-15 19:02:51 [INFO] [TRAIN] epoch=82, iter=30300/80000, loss=0.1844, lr=0.006515, batch_cost=1.0268, reader_cost=0.0007 | ETA 14:10:32 2020-12-15 19:02:59 [INFO] [TRAIN] epoch=82, iter=30310/80000, loss=0.2979, lr=0.006514, batch_cost=0.8392, reader_cost=0.0001 | ETA 11:35:01 2020-12-15 19:03:08 [INFO] [TRAIN] epoch=82, iter=30320/80000, loss=0.1526, lr=0.006513, batch_cost=0.8183, reader_cost=0.0001 | ETA 11:17:33 2020-12-15 19:03:16 [INFO] [TRAIN] epoch=82, iter=30330/80000, loss=0.1553, lr=0.006512, batch_cost=0.7997, reader_cost=0.0001 | ETA 11:02:01 2020-12-15 19:03:23 [INFO] [TRAIN] epoch=82, iter=30340/80000, loss=0.2211, lr=0.006511, batch_cost=0.7920, reader_cost=0.0001 | ETA 10:55:31 2020-12-15 19:03:34 [INFO] [TRAIN] epoch=82, iter=30350/80000, loss=0.2097, lr=0.006510, batch_cost=1.0500, reader_cost=0.0031 | ETA 14:28:52 2020-12-15 19:03:45 [INFO] [TRAIN] epoch=82, iter=30360/80000, loss=0.1128, lr=0.006508, batch_cost=1.1070, reader_cost=0.0001 | ETA 15:15:50 2020-12-15 19:03:56 [INFO] [TRAIN] epoch=82, iter=30370/80000, loss=0.1933, lr=0.006507, batch_cost=1.1336, reader_cost=0.0002 | ETA 15:37:39 2020-12-15 19:04:09 [INFO] [TRAIN] epoch=82, iter=30380/80000, loss=0.1673, lr=0.006506, batch_cost=1.2845, reader_cost=0.0014 | ETA 17:42:15 2020-12-15 19:04:22 [INFO] [TRAIN] epoch=82, iter=30390/80000, loss=0.2398, lr=0.006505, batch_cost=1.2615, reader_cost=0.0001 | ETA 17:23:04 2020-12-15 19:04:34 [INFO] [TRAIN] epoch=82, iter=30400/80000, loss=0.2431, lr=0.006504, batch_cost=1.2451, reader_cost=0.0019 | ETA 17:09:16 2020-12-15 19:04:47 [INFO] [TRAIN] epoch=82, iter=30410/80000, loss=0.2590, lr=0.006503, batch_cost=1.2294, reader_cost=0.0005 | ETA 16:56:07 2020-12-15 19:04:59 [INFO] [TRAIN] epoch=82, iter=30420/80000, loss=0.1881, lr=0.006501, batch_cost=1.2075, reader_cost=0.0009 | ETA 16:37:48 2020-12-15 19:05:11 [INFO] [TRAIN] epoch=82, iter=30430/80000, loss=0.2470, lr=0.006500, batch_cost=1.2406, reader_cost=0.0001 | ETA 17:04:58 2020-12-15 19:05:23 [INFO] [TRAIN] epoch=82, iter=30440/80000, loss=0.1701, lr=0.006499, batch_cost=1.2382, reader_cost=0.0013 | ETA 17:02:43 2020-12-15 19:05:36 [INFO] [TRAIN] epoch=82, iter=30450/80000, loss=0.2278, lr=0.006498, batch_cost=1.2362, reader_cost=0.0012 | ETA 17:00:52 2020-12-15 19:05:48 [INFO] [TRAIN] epoch=82, iter=30460/80000, loss=0.1367, lr=0.006497, batch_cost=1.2112, reader_cost=0.0001 | ETA 16:40:00 2020-12-15 19:05:56 [INFO] [TRAIN] epoch=82, iter=30470/80000, loss=0.1986, lr=0.006495, batch_cost=0.8094, reader_cost=0.0001 | ETA 11:08:10 2020-12-15 19:06:06 [INFO] [TRAIN] epoch=82, iter=30480/80000, loss=0.1889, lr=0.006494, batch_cost=0.9932, reader_cost=0.0003 | ETA 13:39:44 2020-12-15 19:06:18 [INFO] [TRAIN] epoch=82, iter=30490/80000, loss=0.1759, lr=0.006493, batch_cost=1.2121, reader_cost=0.0001 | ETA 16:40:11 2020-12-15 19:06:29 [INFO] [TRAIN] epoch=82, iter=30500/80000, loss=0.2042, lr=0.006492, batch_cost=1.1365, reader_cost=0.0031 | ETA 15:37:38 2020-12-15 19:06:41 [INFO] [TRAIN] epoch=83, iter=30510/80000, loss=0.1254, lr=0.006491, batch_cost=1.1985, reader_cost=0.0653 | ETA 16:28:35 2020-12-15 19:06:53 [INFO] [TRAIN] epoch=83, iter=30520/80000, loss=0.1558, lr=0.006490, batch_cost=1.2007, reader_cost=0.0052 | ETA 16:30:10 2020-12-15 19:07:05 [INFO] [TRAIN] epoch=83, iter=30530/80000, loss=0.1613, lr=0.006488, batch_cost=1.1642, reader_cost=0.0001 | ETA 15:59:50 2020-12-15 19:07:18 [INFO] [TRAIN] epoch=83, iter=30540/80000, loss=0.1871, lr=0.006487, batch_cost=1.3409, reader_cost=0.0013 | ETA 18:25:18 2020-12-15 19:07:32 [INFO] [TRAIN] epoch=83, iter=30550/80000, loss=0.1609, lr=0.006486, batch_cost=1.3747, reader_cost=0.0021 | ETA 18:52:59 2020-12-15 19:07:44 [INFO] [TRAIN] epoch=83, iter=30560/80000, loss=0.1123, lr=0.006485, batch_cost=1.1683, reader_cost=0.0001 | ETA 16:02:40 2020-12-15 19:07:57 [INFO] [TRAIN] epoch=83, iter=30570/80000, loss=0.1459, lr=0.006484, batch_cost=1.3035, reader_cost=0.0021 | ETA 17:53:51 2020-12-15 19:08:08 [INFO] [TRAIN] epoch=83, iter=30580/80000, loss=0.1740, lr=0.006482, batch_cost=1.0986, reader_cost=0.0006 | ETA 15:04:51 2020-12-15 19:08:19 [INFO] [TRAIN] epoch=83, iter=30590/80000, loss=0.1679, lr=0.006481, batch_cost=1.1422, reader_cost=0.0001 | ETA 15:40:36 2020-12-15 19:08:32 [INFO] [TRAIN] epoch=83, iter=30600/80000, loss=0.2298, lr=0.006480, batch_cost=1.2377, reader_cost=0.0001 | ETA 16:59:02 2020-12-15 19:08:44 [INFO] [TRAIN] epoch=83, iter=30610/80000, loss=0.1685, lr=0.006479, batch_cost=1.2262, reader_cost=0.0001 | ETA 16:49:21 2020-12-15 19:08:55 [INFO] [TRAIN] epoch=83, iter=30620/80000, loss=0.2126, lr=0.006478, batch_cost=1.1504, reader_cost=0.0001 | ETA 15:46:48 2020-12-15 19:09:08 [INFO] [TRAIN] epoch=83, iter=30630/80000, loss=0.1948, lr=0.006477, batch_cost=1.2149, reader_cost=0.0005 | ETA 16:39:39 2020-12-15 19:09:20 [INFO] [TRAIN] epoch=83, iter=30640/80000, loss=0.2008, lr=0.006475, batch_cost=1.2337, reader_cost=0.0001 | ETA 16:54:54 2020-12-15 19:09:32 [INFO] [TRAIN] epoch=83, iter=30650/80000, loss=0.1952, lr=0.006474, batch_cost=1.2524, reader_cost=0.0001 | ETA 17:10:06 2020-12-15 19:09:46 [INFO] [TRAIN] epoch=83, iter=30660/80000, loss=0.1954, lr=0.006473, batch_cost=1.3370, reader_cost=0.0009 | ETA 18:19:26 2020-12-15 19:09:57 [INFO] [TRAIN] epoch=83, iter=30670/80000, loss=0.2455, lr=0.006472, batch_cost=1.1278, reader_cost=0.0004 | ETA 15:27:12 2020-12-15 19:10:09 [INFO] [TRAIN] epoch=83, iter=30680/80000, loss=0.1942, lr=0.006471, batch_cost=1.1888, reader_cost=0.0053 | ETA 16:17:12 2020-12-15 19:10:20 [INFO] [TRAIN] epoch=83, iter=30690/80000, loss=0.2327, lr=0.006469, batch_cost=1.1314, reader_cost=0.0004 | ETA 15:29:50 2020-12-15 19:10:28 [INFO] [TRAIN] epoch=83, iter=30700/80000, loss=0.1894, lr=0.006468, batch_cost=0.7938, reader_cost=0.0001 | ETA 10:52:13 2020-12-15 19:10:39 [INFO] [TRAIN] epoch=83, iter=30710/80000, loss=0.2054, lr=0.006467, batch_cost=1.0467, reader_cost=0.0013 | ETA 14:19:52 2020-12-15 19:10:51 [INFO] [TRAIN] epoch=83, iter=30720/80000, loss=0.1351, lr=0.006466, batch_cost=1.1842, reader_cost=0.0010 | ETA 16:12:36 2020-12-15 19:11:03 [INFO] [TRAIN] epoch=83, iter=30730/80000, loss=0.1099, lr=0.006465, batch_cost=1.1954, reader_cost=0.0045 | ETA 16:21:37 2020-12-15 19:11:13 [INFO] [TRAIN] epoch=83, iter=30740/80000, loss=0.2038, lr=0.006464, batch_cost=1.0742, reader_cost=0.0006 | ETA 14:41:53 2020-12-15 19:11:26 [INFO] [TRAIN] epoch=83, iter=30750/80000, loss=0.2009, lr=0.006462, batch_cost=1.2477, reader_cost=0.0014 | ETA 17:04:10 2020-12-15 19:11:37 [INFO] [TRAIN] epoch=83, iter=30760/80000, loss=0.2078, lr=0.006461, batch_cost=1.1266, reader_cost=0.0001 | ETA 15:24:32 2020-12-15 19:11:49 [INFO] [TRAIN] epoch=83, iter=30770/80000, loss=0.1436, lr=0.006460, batch_cost=1.1484, reader_cost=0.0013 | ETA 15:42:14 2020-12-15 19:12:02 [INFO] [TRAIN] epoch=83, iter=30780/80000, loss=0.1564, lr=0.006459, batch_cost=1.3302, reader_cost=0.0003 | ETA 18:11:12 2020-12-15 19:12:14 [INFO] [TRAIN] epoch=83, iter=30790/80000, loss=0.1729, lr=0.006458, batch_cost=1.2381, reader_cost=0.0008 | ETA 16:55:28 2020-12-15 19:12:27 [INFO] [TRAIN] epoch=83, iter=30800/80000, loss=0.1820, lr=0.006456, batch_cost=1.3051, reader_cost=0.0001 | ETA 17:50:11 2020-12-15 19:12:40 [INFO] [TRAIN] epoch=83, iter=30810/80000, loss=0.2130, lr=0.006455, batch_cost=1.3024, reader_cost=0.0046 | ETA 17:47:44 2020-12-15 19:12:53 [INFO] [TRAIN] epoch=83, iter=30820/80000, loss=0.1784, lr=0.006454, batch_cost=1.2277, reader_cost=0.0005 | ETA 16:46:19 2020-12-15 19:13:05 [INFO] [TRAIN] epoch=83, iter=30830/80000, loss=0.2642, lr=0.006453, batch_cost=1.2629, reader_cost=0.0001 | ETA 17:14:57 2020-12-15 19:13:18 [INFO] [TRAIN] epoch=83, iter=30840/80000, loss=0.1923, lr=0.006452, batch_cost=1.2548, reader_cost=0.0014 | ETA 17:08:06 2020-12-15 19:13:32 [INFO] [TRAIN] epoch=83, iter=30850/80000, loss=0.1994, lr=0.006451, batch_cost=1.3926, reader_cost=0.0001 | ETA 19:00:45 2020-12-15 19:13:45 [INFO] [TRAIN] epoch=83, iter=30860/80000, loss=0.1540, lr=0.006449, batch_cost=1.3221, reader_cost=0.0025 | ETA 18:02:47 2020-12-15 19:13:58 [INFO] [TRAIN] epoch=83, iter=30870/80000, loss=0.1739, lr=0.006448, batch_cost=1.2835, reader_cost=0.0001 | ETA 17:30:58 2020-12-15 19:14:09 [INFO] [TRAIN] epoch=84, iter=30880/80000, loss=0.3466, lr=0.006447, batch_cost=1.1335, reader_cost=0.0502 | ETA 15:27:57 2020-12-15 19:14:22 [INFO] [TRAIN] epoch=84, iter=30890/80000, loss=0.1756, lr=0.006446, batch_cost=1.2746, reader_cost=0.0001 | ETA 17:23:14 2020-12-15 19:14:35 [INFO] [TRAIN] epoch=84, iter=30900/80000, loss=0.1874, lr=0.006445, batch_cost=1.2975, reader_cost=0.0010 | ETA 17:41:48 2020-12-15 19:14:47 [INFO] [TRAIN] epoch=84, iter=30910/80000, loss=0.1875, lr=0.006443, batch_cost=1.2346, reader_cost=0.0023 | ETA 16:50:05 2020-12-15 19:14:56 [INFO] [TRAIN] epoch=84, iter=30920/80000, loss=0.1860, lr=0.006442, batch_cost=0.8458, reader_cost=0.0001 | ETA 11:31:49 2020-12-15 19:15:06 [INFO] [TRAIN] epoch=84, iter=30930/80000, loss=0.1802, lr=0.006441, batch_cost=1.0574, reader_cost=0.0001 | ETA 14:24:44 2020-12-15 19:15:19 [INFO] [TRAIN] epoch=84, iter=30940/80000, loss=0.1819, lr=0.006440, batch_cost=1.2782, reader_cost=0.0058 | ETA 17:25:10 2020-12-15 19:15:31 [INFO] [TRAIN] epoch=84, iter=30950/80000, loss=0.1898, lr=0.006439, batch_cost=1.2236, reader_cost=0.0030 | ETA 16:40:19 2020-12-15 19:15:44 [INFO] [TRAIN] epoch=84, iter=30960/80000, loss=0.1727, lr=0.006438, batch_cost=1.2760, reader_cost=0.0002 | ETA 17:22:53 2020-12-15 19:15:56 [INFO] [TRAIN] epoch=84, iter=30970/80000, loss=0.2225, lr=0.006436, batch_cost=1.2152, reader_cost=0.0001 | ETA 16:32:59 2020-12-15 19:16:08 [INFO] [TRAIN] epoch=84, iter=30980/80000, loss=0.1700, lr=0.006435, batch_cost=1.1775, reader_cost=0.0035 | ETA 16:02:00 2020-12-15 19:16:19 [INFO] [TRAIN] epoch=84, iter=30990/80000, loss=0.2217, lr=0.006434, batch_cost=1.1263, reader_cost=0.0014 | ETA 15:19:58 2020-12-15 19:16:31 [INFO] [TRAIN] epoch=84, iter=31000/80000, loss=0.1788, lr=0.006433, batch_cost=1.1872, reader_cost=0.0001 | ETA 16:09:32 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 19:16:31 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 19:17:22 [INFO] [EVAL] #Images=500 mIoU=0.7569 Acc=0.9567 Kappa=0.9438 2020-12-15 19:17:22 [INFO] [EVAL] Class IoU: [0.9809 0.843 0.918 0.4754 0.583 0.5778 0.6872 0.7632 0.9136 0.633 0.9401 0.7912 0.5376 0.9452 0.7813 0.8741 0.7786 0.5969 0.7605] 2020-12-15 19:17:22 [INFO] [EVAL] Class Acc: [0.9928 0.9078 0.9498 0.8384 0.8408 0.7713 0.8315 0.9096 0.9429 0.8421 0.9584 0.8519 0.8452 0.974 0.8653 0.9393 0.9125 0.8863 0.8397] 2020-12-15 19:17:29 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 19:17:41 [INFO] [TRAIN] epoch=84, iter=31010/80000, loss=0.1496, lr=0.006432, batch_cost=1.2354, reader_cost=0.0019 | ETA 16:48:40 2020-12-15 19:17:53 [INFO] [TRAIN] epoch=84, iter=31020/80000, loss=0.1960, lr=0.006430, batch_cost=1.2495, reader_cost=0.0016 | ETA 17:00:02 2020-12-15 19:18:07 [INFO] [TRAIN] epoch=84, iter=31030/80000, loss=0.1446, lr=0.006429, batch_cost=1.3510, reader_cost=0.0001 | ETA 18:22:40 2020-12-15 19:18:19 [INFO] [TRAIN] epoch=84, iter=31040/80000, loss=0.1435, lr=0.006428, batch_cost=1.2231, reader_cost=0.0026 | ETA 16:38:02 2020-12-15 19:18:32 [INFO] [TRAIN] epoch=84, iter=31050/80000, loss=0.1279, lr=0.006427, batch_cost=1.2854, reader_cost=0.0028 | ETA 17:28:42 2020-12-15 19:18:45 [INFO] [TRAIN] epoch=84, iter=31060/80000, loss=0.1574, lr=0.006426, batch_cost=1.2722, reader_cost=0.0035 | ETA 17:17:42 2020-12-15 19:18:57 [INFO] [TRAIN] epoch=84, iter=31070/80000, loss=0.1487, lr=0.006425, batch_cost=1.2569, reader_cost=0.0047 | ETA 17:04:57 2020-12-15 19:19:09 [INFO] [TRAIN] epoch=84, iter=31080/80000, loss=0.1823, lr=0.006423, batch_cost=1.1691, reader_cost=0.0013 | ETA 15:53:14 2020-12-15 19:19:19 [INFO] [TRAIN] epoch=84, iter=31090/80000, loss=0.1360, lr=0.006422, batch_cost=1.0317, reader_cost=0.0036 | ETA 14:00:58 2020-12-15 19:19:27 [INFO] [TRAIN] epoch=84, iter=31100/80000, loss=0.3571, lr=0.006421, batch_cost=0.8120, reader_cost=0.0001 | ETA 11:01:46 2020-12-15 19:19:38 [INFO] [TRAIN] epoch=84, iter=31110/80000, loss=0.1708, lr=0.006420, batch_cost=1.0622, reader_cost=0.0001 | ETA 14:25:32 2020-12-15 19:19:51 [INFO] [TRAIN] epoch=84, iter=31120/80000, loss=0.2268, lr=0.006419, batch_cost=1.2453, reader_cost=0.0030 | ETA 16:54:30 2020-12-15 19:20:03 [INFO] [TRAIN] epoch=84, iter=31130/80000, loss=0.1578, lr=0.006417, batch_cost=1.2172, reader_cost=0.0001 | ETA 16:31:24 2020-12-15 19:20:15 [INFO] [TRAIN] epoch=84, iter=31140/80000, loss=0.1726, lr=0.006416, batch_cost=1.2782, reader_cost=0.0002 | ETA 17:20:51 2020-12-15 19:20:28 [INFO] [TRAIN] epoch=84, iter=31150/80000, loss=0.1967, lr=0.006415, batch_cost=1.2294, reader_cost=0.0044 | ETA 16:40:57 2020-12-15 19:20:40 [INFO] [TRAIN] epoch=84, iter=31160/80000, loss=0.2450, lr=0.006414, batch_cost=1.1802, reader_cost=0.0001 | ETA 16:00:38 2020-12-15 19:20:52 [INFO] [TRAIN] epoch=84, iter=31170/80000, loss=0.1349, lr=0.006413, batch_cost=1.2073, reader_cost=0.0001 | ETA 16:22:34 2020-12-15 19:21:05 [INFO] [TRAIN] epoch=84, iter=31180/80000, loss=0.1531, lr=0.006412, batch_cost=1.3552, reader_cost=0.0001 | ETA 18:22:39 2020-12-15 19:21:17 [INFO] [TRAIN] epoch=84, iter=31190/80000, loss=0.1855, lr=0.006410, batch_cost=1.2136, reader_cost=0.0001 | ETA 16:27:18 2020-12-15 19:21:30 [INFO] [TRAIN] epoch=84, iter=31200/80000, loss=0.3319, lr=0.006409, batch_cost=1.2346, reader_cost=0.0002 | ETA 16:44:07 2020-12-15 19:21:42 [INFO] [TRAIN] epoch=84, iter=31210/80000, loss=0.1778, lr=0.006408, batch_cost=1.1971, reader_cost=0.0019 | ETA 16:13:27 2020-12-15 19:21:54 [INFO] [TRAIN] epoch=84, iter=31220/80000, loss=0.1511, lr=0.006407, batch_cost=1.2790, reader_cost=0.0001 | ETA 17:19:49 2020-12-15 19:22:06 [INFO] [TRAIN] epoch=84, iter=31230/80000, loss=0.2211, lr=0.006406, batch_cost=1.1772, reader_cost=0.0011 | ETA 15:56:52 2020-12-15 19:22:19 [INFO] [TRAIN] epoch=84, iter=31240/80000, loss=0.1488, lr=0.006404, batch_cost=1.2340, reader_cost=0.0023 | ETA 16:42:51 2020-12-15 19:22:30 [INFO] [TRAIN] epoch=85, iter=31250/80000, loss=0.1916, lr=0.006403, batch_cost=1.1081, reader_cost=0.0596 | ETA 15:00:18 2020-12-15 19:22:42 [INFO] [TRAIN] epoch=85, iter=31260/80000, loss=0.1939, lr=0.006402, batch_cost=1.2177, reader_cost=0.0001 | ETA 16:29:09 2020-12-15 19:22:54 [INFO] [TRAIN] epoch=85, iter=31270/80000, loss=0.3387, lr=0.006401, batch_cost=1.2556, reader_cost=0.0003 | ETA 16:59:43 2020-12-15 19:23:07 [INFO] [TRAIN] epoch=85, iter=31280/80000, loss=0.2078, lr=0.006400, batch_cost=1.2399, reader_cost=0.0024 | ETA 16:46:45 2020-12-15 19:23:20 [INFO] [TRAIN] epoch=85, iter=31290/80000, loss=0.2154, lr=0.006399, batch_cost=1.2825, reader_cost=0.0001 | ETA 17:21:09 2020-12-15 19:23:32 [INFO] [TRAIN] epoch=85, iter=31300/80000, loss=0.1893, lr=0.006397, batch_cost=1.2363, reader_cost=0.0001 | ETA 16:43:29 2020-12-15 19:23:45 [INFO] [TRAIN] epoch=85, iter=31310/80000, loss=0.1978, lr=0.006396, batch_cost=1.2691, reader_cost=0.0001 | ETA 17:09:53 2020-12-15 19:23:54 [INFO] [TRAIN] epoch=85, iter=31320/80000, loss=0.2916, lr=0.006395, batch_cost=0.9001, reader_cost=0.0005 | ETA 12:10:16 2020-12-15 19:24:02 [INFO] [TRAIN] epoch=85, iter=31330/80000, loss=0.1795, lr=0.006394, batch_cost=0.8155, reader_cost=0.0001 | ETA 11:01:31 2020-12-15 19:24:13 [INFO] [TRAIN] epoch=85, iter=31340/80000, loss=0.2127, lr=0.006393, batch_cost=1.1655, reader_cost=0.0022 | ETA 15:45:14 2020-12-15 19:24:26 [INFO] [TRAIN] epoch=85, iter=31350/80000, loss=0.1537, lr=0.006391, batch_cost=1.2181, reader_cost=0.0013 | ETA 16:27:42 2020-12-15 19:24:38 [INFO] [TRAIN] epoch=85, iter=31360/80000, loss=0.1665, lr=0.006390, batch_cost=1.2489, reader_cost=0.0026 | ETA 16:52:25 2020-12-15 19:24:51 [INFO] [TRAIN] epoch=85, iter=31370/80000, loss=0.1409, lr=0.006389, batch_cost=1.2501, reader_cost=0.0010 | ETA 16:53:10 2020-12-15 19:25:03 [INFO] [TRAIN] epoch=85, iter=31380/80000, loss=0.1641, lr=0.006388, batch_cost=1.2389, reader_cost=0.0006 | ETA 16:43:54 2020-12-15 19:25:17 [INFO] [TRAIN] epoch=85, iter=31390/80000, loss=0.1908, lr=0.006387, batch_cost=1.3582, reader_cost=0.0022 | ETA 18:20:21 2020-12-15 19:25:29 [INFO] [TRAIN] epoch=85, iter=31400/80000, loss=0.1612, lr=0.006386, batch_cost=1.2017, reader_cost=0.0006 | ETA 16:13:23 2020-12-15 19:25:41 [INFO] [TRAIN] epoch=85, iter=31410/80000, loss=0.2266, lr=0.006384, batch_cost=1.1933, reader_cost=0.0031 | ETA 16:06:21 2020-12-15 19:25:52 [INFO] [TRAIN] epoch=85, iter=31420/80000, loss=0.1932, lr=0.006383, batch_cost=1.1645, reader_cost=0.0006 | ETA 15:42:50 2020-12-15 19:26:05 [INFO] [TRAIN] epoch=85, iter=31430/80000, loss=0.1768, lr=0.006382, batch_cost=1.2574, reader_cost=0.0002 | ETA 16:57:51 2020-12-15 19:26:17 [INFO] [TRAIN] epoch=85, iter=31440/80000, loss=0.1349, lr=0.006381, batch_cost=1.2152, reader_cost=0.0001 | ETA 16:23:29 2020-12-15 19:26:31 [INFO] [TRAIN] epoch=85, iter=31450/80000, loss=0.1793, lr=0.006380, batch_cost=1.3866, reader_cost=0.0001 | ETA 18:41:59 2020-12-15 19:26:43 [INFO] [TRAIN] epoch=85, iter=31460/80000, loss=0.1991, lr=0.006378, batch_cost=1.2307, reader_cost=0.0008 | ETA 16:35:37 2020-12-15 19:26:55 [INFO] [TRAIN] epoch=85, iter=31470/80000, loss=0.2009, lr=0.006377, batch_cost=1.2035, reader_cost=0.0001 | ETA 16:13:26 2020-12-15 19:27:06 [INFO] [TRAIN] epoch=85, iter=31480/80000, loss=0.1811, lr=0.006376, batch_cost=1.1153, reader_cost=0.0006 | ETA 15:01:55 2020-12-15 19:27:17 [INFO] [TRAIN] epoch=85, iter=31490/80000, loss=0.1874, lr=0.006375, batch_cost=1.1202, reader_cost=0.0013 | ETA 15:05:39 2020-12-15 19:27:30 [INFO] [TRAIN] epoch=85, iter=31500/80000, loss=0.1578, lr=0.006374, batch_cost=1.2183, reader_cost=0.0017 | ETA 16:24:49 2020-12-15 19:27:39 [INFO] [TRAIN] epoch=85, iter=31510/80000, loss=0.2459, lr=0.006373, batch_cost=0.9690, reader_cost=0.0001 | ETA 13:03:04 2020-12-15 19:27:47 [INFO] [TRAIN] epoch=85, iter=31520/80000, loss=0.2144, lr=0.006371, batch_cost=0.8119, reader_cost=0.0001 | ETA 10:56:02 2020-12-15 19:27:56 [INFO] [TRAIN] epoch=85, iter=31530/80000, loss=0.2636, lr=0.006370, batch_cost=0.8019, reader_cost=0.0001 | ETA 10:47:45 2020-12-15 19:28:04 [INFO] [TRAIN] epoch=85, iter=31540/80000, loss=0.2003, lr=0.006369, batch_cost=0.8277, reader_cost=0.0001 | ETA 11:08:28 2020-12-15 19:28:13 [INFO] [TRAIN] epoch=85, iter=31550/80000, loss=0.2286, lr=0.006368, batch_cost=0.8740, reader_cost=0.0006 | ETA 11:45:45 2020-12-15 19:28:25 [INFO] [TRAIN] epoch=85, iter=31560/80000, loss=0.1990, lr=0.006367, batch_cost=1.2247, reader_cost=0.0001 | ETA 16:28:43 2020-12-15 19:28:37 [INFO] [TRAIN] epoch=85, iter=31570/80000, loss=0.1842, lr=0.006365, batch_cost=1.2321, reader_cost=0.0018 | ETA 16:34:28 2020-12-15 19:28:50 [INFO] [TRAIN] epoch=85, iter=31580/80000, loss=0.2856, lr=0.006364, batch_cost=1.2434, reader_cost=0.0005 | ETA 16:43:23 2020-12-15 19:29:00 [INFO] [TRAIN] epoch=85, iter=31590/80000, loss=0.3419, lr=0.006363, batch_cost=1.0068, reader_cost=0.0001 | ETA 13:32:17 2020-12-15 19:29:09 [INFO] [TRAIN] epoch=85, iter=31600/80000, loss=0.3007, lr=0.006362, batch_cost=0.8941, reader_cost=0.0001 | ETA 12:01:12 2020-12-15 19:29:20 [INFO] [TRAIN] epoch=85, iter=31610/80000, loss=0.1703, lr=0.006361, batch_cost=1.1174, reader_cost=0.0005 | ETA 15:01:12 2020-12-15 19:29:30 [INFO] [TRAIN] epoch=85, iter=31620/80000, loss=0.1751, lr=0.006360, batch_cost=1.0076, reader_cost=0.0012 | ETA 13:32:25 2020-12-15 19:29:44 [INFO] [TRAIN] epoch=86, iter=31630/80000, loss=0.2191, lr=0.006358, batch_cost=1.4204, reader_cost=0.0723 | ETA 19:05:02 2020-12-15 19:29:57 [INFO] [TRAIN] epoch=86, iter=31640/80000, loss=0.2892, lr=0.006357, batch_cost=1.3125, reader_cost=0.0006 | ETA 17:37:50 2020-12-15 19:30:09 [INFO] [TRAIN] epoch=86, iter=31650/80000, loss=0.2164, lr=0.006356, batch_cost=1.1648, reader_cost=0.0001 | ETA 15:38:38 2020-12-15 19:30:21 [INFO] [TRAIN] epoch=86, iter=31660/80000, loss=0.1560, lr=0.006355, batch_cost=1.1734, reader_cost=0.0005 | ETA 15:45:21 2020-12-15 19:30:33 [INFO] [TRAIN] epoch=86, iter=31670/80000, loss=0.1855, lr=0.006354, batch_cost=1.2513, reader_cost=0.0010 | ETA 16:47:55 2020-12-15 19:30:44 [INFO] [TRAIN] epoch=86, iter=31680/80000, loss=0.1623, lr=0.006352, batch_cost=1.1431, reader_cost=0.0003 | ETA 15:20:32 2020-12-15 19:30:57 [INFO] [TRAIN] epoch=86, iter=31690/80000, loss=0.1845, lr=0.006351, batch_cost=1.2542, reader_cost=0.0001 | ETA 16:49:50 2020-12-15 19:31:09 [INFO] [TRAIN] epoch=86, iter=31700/80000, loss=0.2491, lr=0.006350, batch_cost=1.2108, reader_cost=0.0001 | ETA 16:14:40 2020-12-15 19:31:21 [INFO] [TRAIN] epoch=86, iter=31710/80000, loss=0.3313, lr=0.006349, batch_cost=1.1684, reader_cost=0.0011 | ETA 15:40:20 2020-12-15 19:31:33 [INFO] [TRAIN] epoch=86, iter=31720/80000, loss=0.1754, lr=0.006348, batch_cost=1.2351, reader_cost=0.0001 | ETA 16:33:51 2020-12-15 19:31:46 [INFO] [TRAIN] epoch=86, iter=31730/80000, loss=0.1697, lr=0.006347, batch_cost=1.2583, reader_cost=0.0030 | ETA 16:52:18 2020-12-15 19:31:57 [INFO] [TRAIN] epoch=86, iter=31740/80000, loss=0.1776, lr=0.006345, batch_cost=1.1697, reader_cost=0.0023 | ETA 15:40:48 2020-12-15 19:32:10 [INFO] [TRAIN] epoch=86, iter=31750/80000, loss=0.1806, lr=0.006344, batch_cost=1.2860, reader_cost=0.0001 | ETA 17:14:09 2020-12-15 19:32:23 [INFO] [TRAIN] epoch=86, iter=31760/80000, loss=0.1496, lr=0.006343, batch_cost=1.2671, reader_cost=0.0001 | ETA 16:58:43 2020-12-15 19:32:36 [INFO] [TRAIN] epoch=86, iter=31770/80000, loss=0.2593, lr=0.006342, batch_cost=1.2855, reader_cost=0.0004 | ETA 17:13:18 2020-12-15 19:32:49 [INFO] [TRAIN] epoch=86, iter=31780/80000, loss=0.3326, lr=0.006341, batch_cost=1.3142, reader_cost=0.0001 | ETA 17:36:10 2020-12-15 19:33:01 [INFO] [TRAIN] epoch=86, iter=31790/80000, loss=0.1430, lr=0.006339, batch_cost=1.2012, reader_cost=0.0001 | ETA 16:05:10 2020-12-15 19:33:13 [INFO] [TRAIN] epoch=86, iter=31800/80000, loss=0.1818, lr=0.006338, batch_cost=1.2414, reader_cost=0.0005 | ETA 16:37:14 2020-12-15 19:33:26 [INFO] [TRAIN] epoch=86, iter=31810/80000, loss=0.2456, lr=0.006337, batch_cost=1.2148, reader_cost=0.0001 | ETA 16:15:40 2020-12-15 19:33:34 [INFO] [TRAIN] epoch=86, iter=31820/80000, loss=0.2003, lr=0.006336, batch_cost=0.8140, reader_cost=0.0003 | ETA 10:53:40 2020-12-15 19:33:44 [INFO] [TRAIN] epoch=86, iter=31830/80000, loss=0.1658, lr=0.006335, batch_cost=0.9940, reader_cost=0.0001 | ETA 13:17:59 2020-12-15 19:33:55 [INFO] [TRAIN] epoch=86, iter=31840/80000, loss=0.1592, lr=0.006334, batch_cost=1.0996, reader_cost=0.0001 | ETA 14:42:34 2020-12-15 19:34:07 [INFO] [TRAIN] epoch=86, iter=31850/80000, loss=0.2443, lr=0.006332, batch_cost=1.2514, reader_cost=0.0003 | ETA 16:44:17 2020-12-15 19:34:18 [INFO] [TRAIN] epoch=86, iter=31860/80000, loss=0.2733, lr=0.006331, batch_cost=1.1186, reader_cost=0.0027 | ETA 14:57:27 2020-12-15 19:34:29 [INFO] [TRAIN] epoch=86, iter=31870/80000, loss=0.1387, lr=0.006330, batch_cost=1.1090, reader_cost=0.0021 | ETA 14:49:34 2020-12-15 19:34:41 [INFO] [TRAIN] epoch=86, iter=31880/80000, loss=0.1776, lr=0.006329, batch_cost=1.1729, reader_cost=0.0007 | ETA 15:40:40 2020-12-15 19:34:53 [INFO] [TRAIN] epoch=86, iter=31890/80000, loss=0.1608, lr=0.006328, batch_cost=1.1569, reader_cost=0.0001 | ETA 15:27:37 2020-12-15 19:35:05 [INFO] [TRAIN] epoch=86, iter=31900/80000, loss=0.1642, lr=0.006326, batch_cost=1.1941, reader_cost=0.0001 | ETA 15:57:18 2020-12-15 19:35:16 [INFO] [TRAIN] epoch=86, iter=31910/80000, loss=0.1605, lr=0.006325, batch_cost=1.1832, reader_cost=0.0001 | ETA 15:48:19 2020-12-15 19:35:29 [INFO] [TRAIN] epoch=86, iter=31920/80000, loss=0.1555, lr=0.006324, batch_cost=1.2459, reader_cost=0.0007 | ETA 16:38:24 2020-12-15 19:35:42 [INFO] [TRAIN] epoch=86, iter=31930/80000, loss=0.2077, lr=0.006323, batch_cost=1.3458, reader_cost=0.0021 | ETA 17:58:10 2020-12-15 19:35:54 [INFO] [TRAIN] epoch=86, iter=31940/80000, loss=0.1598, lr=0.006322, batch_cost=1.2070, reader_cost=0.0001 | ETA 16:06:48 2020-12-15 19:36:07 [INFO] [TRAIN] epoch=86, iter=31950/80000, loss=0.1855, lr=0.006320, batch_cost=1.2734, reader_cost=0.0014 | ETA 16:59:48 2020-12-15 19:36:20 [INFO] [TRAIN] epoch=86, iter=31960/80000, loss=0.1602, lr=0.006319, batch_cost=1.2936, reader_cost=0.0002 | ETA 17:15:45 2020-12-15 19:36:33 [INFO] [TRAIN] epoch=86, iter=31970/80000, loss=0.2398, lr=0.006318, batch_cost=1.2431, reader_cost=0.0026 | ETA 16:35:08 2020-12-15 19:36:45 [INFO] [TRAIN] epoch=86, iter=31980/80000, loss=0.2470, lr=0.006317, batch_cost=1.2716, reader_cost=0.0004 | ETA 16:57:41 2020-12-15 19:36:56 [INFO] [TRAIN] epoch=86, iter=31990/80000, loss=0.1805, lr=0.006316, batch_cost=1.0753, reader_cost=0.0008 | ETA 14:20:25 2020-12-15 19:37:10 [INFO] [TRAIN] epoch=87, iter=32000/80000, loss=0.2346, lr=0.006315, batch_cost=1.3584, reader_cost=0.0743 | ETA 18:06:41 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 19:37:10 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 19:38:00 [INFO] [EVAL] #Images=500 mIoU=0.7506 Acc=0.9568 Kappa=0.9440 2020-12-15 19:38:00 [INFO] [EVAL] Class IoU: [0.9811 0.8457 0.9213 0.5175 0.6054 0.5839 0.6844 0.7632 0.9138 0.5582 0.9436 0.8005 0.6063 0.9387 0.6736 0.8631 0.7653 0.5458 0.749 ] 2020-12-15 19:38:00 [INFO] [EVAL] Class Acc: [0.9917 0.9158 0.9568 0.7491 0.8121 0.7838 0.826 0.8971 0.9405 0.8962 0.9653 0.8769 0.7583 0.9592 0.9226 0.9296 0.8699 0.9005 0.8219] 2020-12-15 19:38:06 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 19:38:15 [INFO] [TRAIN] epoch=87, iter=32010/80000, loss=0.1636, lr=0.006313, batch_cost=0.9331, reader_cost=0.0001 | ETA 12:26:18 2020-12-15 19:38:27 [INFO] [TRAIN] epoch=87, iter=32020/80000, loss=0.2582, lr=0.006312, batch_cost=1.1368, reader_cost=0.0008 | ETA 15:09:01 2020-12-15 19:38:39 [INFO] [TRAIN] epoch=87, iter=32030/80000, loss=0.1359, lr=0.006311, batch_cost=1.2251, reader_cost=0.0055 | ETA 16:19:27 2020-12-15 19:38:51 [INFO] [TRAIN] epoch=87, iter=32040/80000, loss=0.1497, lr=0.006310, batch_cost=1.1865, reader_cost=0.0001 | ETA 15:48:26 2020-12-15 19:39:04 [INFO] [TRAIN] epoch=87, iter=32050/80000, loss=0.2136, lr=0.006309, batch_cost=1.2870, reader_cost=0.0018 | ETA 17:08:33 2020-12-15 19:39:15 [INFO] [TRAIN] epoch=87, iter=32060/80000, loss=0.1792, lr=0.006307, batch_cost=1.1809, reader_cost=0.0009 | ETA 15:43:29 2020-12-15 19:39:28 [INFO] [TRAIN] epoch=87, iter=32070/80000, loss=0.1604, lr=0.006306, batch_cost=1.2407, reader_cost=0.0001 | ETA 16:31:06 2020-12-15 19:39:40 [INFO] [TRAIN] epoch=87, iter=32080/80000, loss=0.1902, lr=0.006305, batch_cost=1.1901, reader_cost=0.0034 | ETA 15:50:28 2020-12-15 19:39:52 [INFO] [TRAIN] epoch=87, iter=32090/80000, loss=0.1630, lr=0.006304, batch_cost=1.2295, reader_cost=0.0006 | ETA 16:21:43 2020-12-15 19:40:03 [INFO] [TRAIN] epoch=87, iter=32100/80000, loss=0.1757, lr=0.006303, batch_cost=1.1009, reader_cost=0.0001 | ETA 14:38:54 2020-12-15 19:40:15 [INFO] [TRAIN] epoch=87, iter=32110/80000, loss=0.1783, lr=0.006302, batch_cost=1.1630, reader_cost=0.0003 | ETA 15:28:17 2020-12-15 19:40:27 [INFO] [TRAIN] epoch=87, iter=32120/80000, loss=0.1716, lr=0.006300, batch_cost=1.2796, reader_cost=0.0002 | ETA 17:01:08 2020-12-15 19:40:41 [INFO] [TRAIN] epoch=87, iter=32130/80000, loss=0.1699, lr=0.006299, batch_cost=1.3418, reader_cost=0.0006 | ETA 17:50:33 2020-12-15 19:40:53 [INFO] [TRAIN] epoch=87, iter=32140/80000, loss=0.1583, lr=0.006298, batch_cost=1.1701, reader_cost=0.0012 | ETA 15:33:20 2020-12-15 19:41:05 [INFO] [TRAIN] epoch=87, iter=32150/80000, loss=0.1999, lr=0.006297, batch_cost=1.1926, reader_cost=0.0018 | ETA 15:51:07 2020-12-15 19:41:17 [INFO] [TRAIN] epoch=87, iter=32160/80000, loss=0.1885, lr=0.006296, batch_cost=1.2836, reader_cost=0.0005 | ETA 17:03:29 2020-12-15 19:41:30 [INFO] [TRAIN] epoch=87, iter=32170/80000, loss=0.1390, lr=0.006294, batch_cost=1.2938, reader_cost=0.0002 | ETA 17:11:22 2020-12-15 19:41:43 [INFO] [TRAIN] epoch=87, iter=32180/80000, loss=0.1877, lr=0.006293, batch_cost=1.2677, reader_cost=0.0019 | ETA 16:50:21 2020-12-15 19:41:55 [INFO] [TRAIN] epoch=87, iter=32190/80000, loss=0.1764, lr=0.006292, batch_cost=1.1921, reader_cost=0.0001 | ETA 15:49:54 2020-12-15 19:42:07 [INFO] [TRAIN] epoch=87, iter=32200/80000, loss=0.2722, lr=0.006291, batch_cost=1.1646, reader_cost=0.0002 | ETA 15:27:47 2020-12-15 19:42:20 [INFO] [TRAIN] epoch=87, iter=32210/80000, loss=0.1566, lr=0.006290, batch_cost=1.3045, reader_cost=0.0017 | ETA 17:19:02 2020-12-15 19:42:31 [INFO] [TRAIN] epoch=87, iter=32220/80000, loss=0.2235, lr=0.006289, batch_cost=1.1016, reader_cost=0.0001 | ETA 14:37:14 2020-12-15 19:42:39 [INFO] [TRAIN] epoch=87, iter=32230/80000, loss=0.1788, lr=0.006287, batch_cost=0.8126, reader_cost=0.0001 | ETA 10:46:58 2020-12-15 19:42:48 [INFO] [TRAIN] epoch=87, iter=32240/80000, loss=0.2420, lr=0.006286, batch_cost=0.9305, reader_cost=0.0008 | ETA 12:20:39 2020-12-15 19:43:00 [INFO] [TRAIN] epoch=87, iter=32250/80000, loss=0.2906, lr=0.006285, batch_cost=1.1524, reader_cost=0.0001 | ETA 15:17:07 2020-12-15 19:43:11 [INFO] [TRAIN] epoch=87, iter=32260/80000, loss=0.2113, lr=0.006284, batch_cost=1.1315, reader_cost=0.0001 | ETA 15:00:19 2020-12-15 19:43:24 [INFO] [TRAIN] epoch=87, iter=32270/80000, loss=0.1952, lr=0.006283, batch_cost=1.2767, reader_cost=0.0017 | ETA 16:55:38 2020-12-15 19:43:36 [INFO] [TRAIN] epoch=87, iter=32280/80000, loss=0.1856, lr=0.006281, batch_cost=1.2147, reader_cost=0.0001 | ETA 16:06:03 2020-12-15 19:43:48 [INFO] [TRAIN] epoch=87, iter=32290/80000, loss=0.1827, lr=0.006280, batch_cost=1.1953, reader_cost=0.0017 | ETA 15:50:27 2020-12-15 19:43:59 [INFO] [TRAIN] epoch=87, iter=32300/80000, loss=0.1603, lr=0.006279, batch_cost=1.1488, reader_cost=0.0023 | ETA 15:13:15 2020-12-15 19:44:11 [INFO] [TRAIN] epoch=87, iter=32310/80000, loss=0.1844, lr=0.006278, batch_cost=1.1952, reader_cost=0.0001 | ETA 15:49:59 2020-12-15 19:44:24 [INFO] [TRAIN] epoch=87, iter=32320/80000, loss=0.1922, lr=0.006277, batch_cost=1.2789, reader_cost=0.0018 | ETA 16:56:16 2020-12-15 19:44:35 [INFO] [TRAIN] epoch=87, iter=32330/80000, loss=0.2145, lr=0.006275, batch_cost=1.1214, reader_cost=0.0006 | ETA 14:50:57 2020-12-15 19:44:48 [INFO] [TRAIN] epoch=87, iter=32340/80000, loss=0.1532, lr=0.006274, batch_cost=1.2683, reader_cost=0.0005 | ETA 16:47:25 2020-12-15 19:45:01 [INFO] [TRAIN] epoch=87, iter=32350/80000, loss=0.1806, lr=0.006273, batch_cost=1.2892, reader_cost=0.0004 | ETA 17:03:52 2020-12-15 19:45:10 [INFO] [TRAIN] epoch=87, iter=32360/80000, loss=0.2782, lr=0.006272, batch_cost=0.9552, reader_cost=0.0008 | ETA 12:38:24 2020-12-15 19:45:22 [INFO] [TRAIN] epoch=88, iter=32370/80000, loss=0.1842, lr=0.006271, batch_cost=1.1584, reader_cost=0.0589 | ETA 15:19:35 2020-12-15 19:45:34 [INFO] [TRAIN] epoch=88, iter=32380/80000, loss=0.1763, lr=0.006270, batch_cost=1.2404, reader_cost=0.0018 | ETA 16:24:27 2020-12-15 19:45:47 [INFO] [TRAIN] epoch=88, iter=32390/80000, loss=0.1789, lr=0.006268, batch_cost=1.2209, reader_cost=0.0006 | ETA 16:08:46 2020-12-15 19:45:58 [INFO] [TRAIN] epoch=88, iter=32400/80000, loss=0.2692, lr=0.006267, batch_cost=1.1873, reader_cost=0.0045 | ETA 15:41:56 2020-12-15 19:46:11 [INFO] [TRAIN] epoch=88, iter=32410/80000, loss=0.2105, lr=0.006266, batch_cost=1.2740, reader_cost=0.0001 | ETA 16:50:30 2020-12-15 19:46:25 [INFO] [TRAIN] epoch=88, iter=32420/80000, loss=0.1549, lr=0.006265, batch_cost=1.3353, reader_cost=0.0024 | ETA 17:38:53 2020-12-15 19:46:37 [INFO] [TRAIN] epoch=88, iter=32430/80000, loss=0.1376, lr=0.006264, batch_cost=1.2853, reader_cost=0.0001 | ETA 16:59:02 2020-12-15 19:46:50 [INFO] [TRAIN] epoch=88, iter=32440/80000, loss=0.2127, lr=0.006262, batch_cost=1.2619, reader_cost=0.0040 | ETA 16:40:15 2020-12-15 19:47:02 [INFO] [TRAIN] epoch=88, iter=32450/80000, loss=0.2296, lr=0.006261, batch_cost=1.2109, reader_cost=0.0030 | ETA 15:59:38 2020-12-15 19:47:10 [INFO] [TRAIN] epoch=88, iter=32460/80000, loss=0.2393, lr=0.006260, batch_cost=0.8174, reader_cost=0.0001 | ETA 10:47:37 2020-12-15 19:47:20 [INFO] [TRAIN] epoch=88, iter=32470/80000, loss=0.1776, lr=0.006259, batch_cost=0.9660, reader_cost=0.0001 | ETA 12:45:12 2020-12-15 19:47:31 [INFO] [TRAIN] epoch=88, iter=32480/80000, loss=0.1622, lr=0.006258, batch_cost=1.1016, reader_cost=0.0024 | ETA 14:32:26 2020-12-15 19:47:44 [INFO] [TRAIN] epoch=88, iter=32490/80000, loss=0.2862, lr=0.006257, batch_cost=1.3160, reader_cost=0.0005 | ETA 17:22:01 2020-12-15 19:47:56 [INFO] [TRAIN] epoch=88, iter=32500/80000, loss=0.1451, lr=0.006255, batch_cost=1.1566, reader_cost=0.0008 | ETA 15:15:39 2020-12-15 19:48:08 [INFO] [TRAIN] epoch=88, iter=32510/80000, loss=0.1707, lr=0.006254, batch_cost=1.2010, reader_cost=0.0004 | ETA 15:50:37 2020-12-15 19:48:20 [INFO] [TRAIN] epoch=88, iter=32520/80000, loss=0.2396, lr=0.006253, batch_cost=1.2036, reader_cost=0.0020 | ETA 15:52:27 2020-12-15 19:48:32 [INFO] [TRAIN] epoch=88, iter=32530/80000, loss=0.1524, lr=0.006252, batch_cost=1.2109, reader_cost=0.0008 | ETA 15:57:59 2020-12-15 19:48:45 [INFO] [TRAIN] epoch=88, iter=32540/80000, loss=0.1440, lr=0.006251, batch_cost=1.2915, reader_cost=0.0026 | ETA 17:01:33 2020-12-15 19:48:58 [INFO] [TRAIN] epoch=88, iter=32550/80000, loss=0.1711, lr=0.006249, batch_cost=1.3424, reader_cost=0.0001 | ETA 17:41:38 2020-12-15 19:49:09 [INFO] [TRAIN] epoch=88, iter=32560/80000, loss=0.1604, lr=0.006248, batch_cost=1.1107, reader_cost=0.0005 | ETA 14:38:12 2020-12-15 19:49:21 [INFO] [TRAIN] epoch=88, iter=32570/80000, loss=0.1877, lr=0.006247, batch_cost=1.1812, reader_cost=0.0009 | ETA 15:33:45 2020-12-15 19:49:32 [INFO] [TRAIN] epoch=88, iter=32580/80000, loss=0.1782, lr=0.006246, batch_cost=1.0577, reader_cost=0.0013 | ETA 13:55:57 2020-12-15 19:49:44 [INFO] [TRAIN] epoch=88, iter=32590/80000, loss=0.1573, lr=0.006245, batch_cost=1.2186, reader_cost=0.0016 | ETA 16:02:52 2020-12-15 19:49:56 [INFO] [TRAIN] epoch=88, iter=32600/80000, loss=0.1754, lr=0.006243, batch_cost=1.2207, reader_cost=0.0001 | ETA 16:04:21 2020-12-15 19:50:08 [INFO] [TRAIN] epoch=88, iter=32610/80000, loss=0.1561, lr=0.006242, batch_cost=1.2133, reader_cost=0.0015 | ETA 15:58:17 2020-12-15 19:50:20 [INFO] [TRAIN] epoch=88, iter=32620/80000, loss=0.1729, lr=0.006241, batch_cost=1.1610, reader_cost=0.0005 | ETA 15:16:47 2020-12-15 19:50:32 [INFO] [TRAIN] epoch=88, iter=32630/80000, loss=0.2039, lr=0.006240, batch_cost=1.2525, reader_cost=0.0021 | ETA 16:28:51 2020-12-15 19:50:45 [INFO] [TRAIN] epoch=88, iter=32640/80000, loss=0.1529, lr=0.006239, batch_cost=1.2530, reader_cost=0.0005 | ETA 16:29:03 2020-12-15 19:50:57 [INFO] [TRAIN] epoch=88, iter=32650/80000, loss=0.2013, lr=0.006238, batch_cost=1.2325, reader_cost=0.0001 | ETA 16:12:36 2020-12-15 19:51:09 [INFO] [TRAIN] epoch=88, iter=32660/80000, loss=0.1645, lr=0.006236, batch_cost=1.1798, reader_cost=0.0018 | ETA 15:30:50 2020-12-15 19:51:21 [INFO] [TRAIN] epoch=88, iter=32670/80000, loss=0.1790, lr=0.006235, batch_cost=1.1570, reader_cost=0.0005 | ETA 15:12:39 2020-12-15 19:51:33 [INFO] [TRAIN] epoch=88, iter=32680/80000, loss=0.1547, lr=0.006234, batch_cost=1.2551, reader_cost=0.0004 | ETA 16:29:50 2020-12-15 19:51:41 [INFO] [TRAIN] epoch=88, iter=32690/80000, loss=0.1548, lr=0.006233, batch_cost=0.7933, reader_cost=0.0001 | ETA 10:25:30 2020-12-15 19:51:51 [INFO] [TRAIN] epoch=88, iter=32700/80000, loss=0.3648, lr=0.006232, batch_cost=1.0157, reader_cost=0.0026 | ETA 13:20:42 2020-12-15 19:52:02 [INFO] [TRAIN] epoch=88, iter=32710/80000, loss=0.1955, lr=0.006230, batch_cost=1.0705, reader_cost=0.0001 | ETA 14:03:42 2020-12-15 19:52:14 [INFO] [TRAIN] epoch=88, iter=32720/80000, loss=0.1421, lr=0.006229, batch_cost=1.2555, reader_cost=0.0001 | ETA 16:29:18 2020-12-15 19:52:27 [INFO] [TRAIN] epoch=88, iter=32730/80000, loss=0.1254, lr=0.006228, batch_cost=1.2271, reader_cost=0.0010 | ETA 16:06:47 2020-12-15 19:52:36 [INFO] [TRAIN] epoch=89, iter=32740/80000, loss=0.1553, lr=0.006227, batch_cost=0.9343, reader_cost=0.0610 | ETA 12:15:52 2020-12-15 19:52:44 [INFO] [TRAIN] epoch=89, iter=32750/80000, loss=0.1538, lr=0.006226, batch_cost=0.7931, reader_cost=0.0001 | ETA 10:24:32 2020-12-15 19:52:52 [INFO] [TRAIN] epoch=89, iter=32760/80000, loss=0.1628, lr=0.006225, batch_cost=0.8224, reader_cost=0.0001 | ETA 10:47:28 2020-12-15 19:53:00 [INFO] [TRAIN] epoch=89, iter=32770/80000, loss=0.1302, lr=0.006223, batch_cost=0.7954, reader_cost=0.0001 | ETA 10:26:07 2020-12-15 19:53:08 [INFO] [TRAIN] epoch=89, iter=32780/80000, loss=0.2378, lr=0.006222, batch_cost=0.8045, reader_cost=0.0001 | ETA 10:33:07 2020-12-15 19:53:19 [INFO] [TRAIN] epoch=89, iter=32790/80000, loss=0.1934, lr=0.006221, batch_cost=1.1263, reader_cost=0.0001 | ETA 14:46:12 2020-12-15 19:53:31 [INFO] [TRAIN] epoch=89, iter=32800/80000, loss=0.1648, lr=0.006220, batch_cost=1.1180, reader_cost=0.0003 | ETA 14:39:27 2020-12-15 19:53:43 [INFO] [TRAIN] epoch=89, iter=32810/80000, loss=0.1807, lr=0.006219, batch_cost=1.2428, reader_cost=0.0005 | ETA 16:17:28 2020-12-15 19:53:55 [INFO] [TRAIN] epoch=89, iter=32820/80000, loss=0.1696, lr=0.006217, batch_cost=1.2171, reader_cost=0.0015 | ETA 15:57:03 2020-12-15 19:54:07 [INFO] [TRAIN] epoch=89, iter=32830/80000, loss=0.2153, lr=0.006216, batch_cost=1.2150, reader_cost=0.0005 | ETA 15:55:12 2020-12-15 19:54:19 [INFO] [TRAIN] epoch=89, iter=32840/80000, loss=0.1658, lr=0.006215, batch_cost=1.1574, reader_cost=0.0006 | ETA 15:09:42 2020-12-15 19:54:32 [INFO] [TRAIN] epoch=89, iter=32850/80000, loss=0.2182, lr=0.006214, batch_cost=1.3002, reader_cost=0.0025 | ETA 17:01:45 2020-12-15 19:54:45 [INFO] [TRAIN] epoch=89, iter=32860/80000, loss=0.2003, lr=0.006213, batch_cost=1.2545, reader_cost=0.0002 | ETA 16:25:35 2020-12-15 19:54:57 [INFO] [TRAIN] epoch=89, iter=32870/80000, loss=0.1587, lr=0.006211, batch_cost=1.2218, reader_cost=0.0019 | ETA 15:59:41 2020-12-15 19:55:10 [INFO] [TRAIN] epoch=89, iter=32880/80000, loss=0.2181, lr=0.006210, batch_cost=1.3023, reader_cost=0.0009 | ETA 17:02:43 2020-12-15 19:55:22 [INFO] [TRAIN] epoch=89, iter=32890/80000, loss=0.2001, lr=0.006209, batch_cost=1.2653, reader_cost=0.0015 | ETA 16:33:27 2020-12-15 19:55:34 [INFO] [TRAIN] epoch=89, iter=32900/80000, loss=0.2211, lr=0.006208, batch_cost=1.1361, reader_cost=0.0024 | ETA 14:51:50 2020-12-15 19:55:46 [INFO] [TRAIN] epoch=89, iter=32910/80000, loss=0.1809, lr=0.006207, batch_cost=1.2333, reader_cost=0.0005 | ETA 16:07:55 2020-12-15 19:55:59 [INFO] [TRAIN] epoch=89, iter=32920/80000, loss=0.2266, lr=0.006206, batch_cost=1.2823, reader_cost=0.0001 | ETA 16:46:09 2020-12-15 19:56:12 [INFO] [TRAIN] epoch=89, iter=32930/80000, loss=0.1654, lr=0.006204, batch_cost=1.2688, reader_cost=0.0060 | ETA 16:35:23 2020-12-15 19:56:25 [INFO] [TRAIN] epoch=89, iter=32940/80000, loss=0.2104, lr=0.006203, batch_cost=1.2992, reader_cost=0.0031 | ETA 16:59:01 2020-12-15 19:56:37 [INFO] [TRAIN] epoch=89, iter=32950/80000, loss=0.1443, lr=0.006202, batch_cost=1.2021, reader_cost=0.0001 | ETA 15:42:39 2020-12-15 19:56:45 [INFO] [TRAIN] epoch=89, iter=32960/80000, loss=0.1948, lr=0.006201, batch_cost=0.8131, reader_cost=0.0001 | ETA 10:37:27 2020-12-15 19:56:54 [INFO] [TRAIN] epoch=89, iter=32970/80000, loss=0.2433, lr=0.006200, batch_cost=0.9278, reader_cost=0.0003 | ETA 12:07:13 2020-12-15 19:57:05 [INFO] [TRAIN] epoch=89, iter=32980/80000, loss=0.1945, lr=0.006198, batch_cost=1.0865, reader_cost=0.0008 | ETA 14:11:27 2020-12-15 19:57:17 [INFO] [TRAIN] epoch=89, iter=32990/80000, loss=0.1844, lr=0.006197, batch_cost=1.2208, reader_cost=0.0001 | ETA 15:56:31 2020-12-15 19:57:28 [INFO] [TRAIN] epoch=89, iter=33000/80000, loss=0.1647, lr=0.006196, batch_cost=1.0773, reader_cost=0.0002 | ETA 14:03:54 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 19:57:28 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 19:58:19 [INFO] [EVAL] #Images=500 mIoU=0.7609 Acc=0.9575 Kappa=0.9448 2020-12-15 19:58:19 [INFO] [EVAL] Class IoU: [0.9787 0.834 0.9223 0.4923 0.5929 0.5918 0.6943 0.7713 0.9194 0.6439 0.9445 0.7974 0.5972 0.9456 0.7754 0.8912 0.7347 0.5681 0.7615] 2020-12-15 19:58:19 [INFO] [EVAL] Class Acc: [0.9881 0.9187 0.9514 0.8012 0.7926 0.78 0.793 0.8958 0.9543 0.8434 0.9662 0.8573 0.8044 0.9673 0.9162 0.9569 0.8379 0.8395 0.8785] 2020-12-15 19:58:26 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 19:58:38 [INFO] [TRAIN] epoch=89, iter=33010/80000, loss=0.2091, lr=0.006195, batch_cost=1.2799, reader_cost=0.0024 | ETA 16:42:24 2020-12-15 19:58:50 [INFO] [TRAIN] epoch=89, iter=33020/80000, loss=0.1172, lr=0.006194, batch_cost=1.1665, reader_cost=0.0004 | ETA 15:13:23 2020-12-15 19:59:02 [INFO] [TRAIN] epoch=89, iter=33030/80000, loss=0.2115, lr=0.006192, batch_cost=1.2015, reader_cost=0.0017 | ETA 15:40:32 2020-12-15 19:59:14 [INFO] [TRAIN] epoch=89, iter=33040/80000, loss=0.1851, lr=0.006191, batch_cost=1.2071, reader_cost=0.0001 | ETA 15:44:43 2020-12-15 19:59:26 [INFO] [TRAIN] epoch=89, iter=33050/80000, loss=0.1824, lr=0.006190, batch_cost=1.2213, reader_cost=0.0001 | ETA 15:55:39 2020-12-15 19:59:40 [INFO] [TRAIN] epoch=89, iter=33060/80000, loss=0.2611, lr=0.006189, batch_cost=1.3081, reader_cost=0.0003 | ETA 17:03:23 2020-12-15 19:59:53 [INFO] [TRAIN] epoch=89, iter=33070/80000, loss=0.1328, lr=0.006188, batch_cost=1.3213, reader_cost=0.0001 | ETA 17:13:27 2020-12-15 20:00:04 [INFO] [TRAIN] epoch=89, iter=33080/80000, loss=0.1899, lr=0.006187, batch_cost=1.1725, reader_cost=0.0004 | ETA 15:16:52 2020-12-15 20:00:18 [INFO] [TRAIN] epoch=89, iter=33090/80000, loss=0.2368, lr=0.006185, batch_cost=1.3187, reader_cost=0.0007 | ETA 17:11:02 2020-12-15 20:00:31 [INFO] [TRAIN] epoch=89, iter=33100/80000, loss=0.2482, lr=0.006184, batch_cost=1.3685, reader_cost=0.0045 | ETA 17:49:43 2020-12-15 20:00:43 [INFO] [TRAIN] epoch=90, iter=33110/80000, loss=0.2730, lr=0.006183, batch_cost=1.1949, reader_cost=0.0629 | ETA 15:33:49 2020-12-15 20:00:57 [INFO] [TRAIN] epoch=90, iter=33120/80000, loss=0.2500, lr=0.006182, batch_cost=1.3251, reader_cost=0.0055 | ETA 17:15:19 2020-12-15 20:01:08 [INFO] [TRAIN] epoch=90, iter=33130/80000, loss=0.1343, lr=0.006181, batch_cost=1.1860, reader_cost=0.0001 | ETA 15:26:28 2020-12-15 20:01:17 [INFO] [TRAIN] epoch=90, iter=33140/80000, loss=0.1634, lr=0.006179, batch_cost=0.8108, reader_cost=0.0001 | ETA 10:33:14 2020-12-15 20:01:27 [INFO] [TRAIN] epoch=90, iter=33150/80000, loss=0.2568, lr=0.006178, batch_cost=1.0159, reader_cost=0.0001 | ETA 13:13:14 2020-12-15 20:01:39 [INFO] [TRAIN] epoch=90, iter=33160/80000, loss=0.2356, lr=0.006177, batch_cost=1.2440, reader_cost=0.0002 | ETA 16:11:09 2020-12-15 20:01:51 [INFO] [TRAIN] epoch=90, iter=33170/80000, loss=0.1614, lr=0.006176, batch_cost=1.1975, reader_cost=0.0023 | ETA 15:34:37 2020-12-15 20:02:03 [INFO] [TRAIN] epoch=90, iter=33180/80000, loss=0.1779, lr=0.006175, batch_cost=1.1622, reader_cost=0.0001 | ETA 15:06:56 2020-12-15 20:02:14 [INFO] [TRAIN] epoch=90, iter=33190/80000, loss=0.1833, lr=0.006174, batch_cost=1.0960, reader_cost=0.0005 | ETA 14:15:05 2020-12-15 20:02:26 [INFO] [TRAIN] epoch=90, iter=33200/80000, loss=0.1713, lr=0.006172, batch_cost=1.1831, reader_cost=0.0001 | ETA 15:22:49 2020-12-15 20:02:38 [INFO] [TRAIN] epoch=90, iter=33210/80000, loss=0.1335, lr=0.006171, batch_cost=1.2297, reader_cost=0.0001 | ETA 15:58:56 2020-12-15 20:02:50 [INFO] [TRAIN] epoch=90, iter=33220/80000, loss=0.1932, lr=0.006170, batch_cost=1.2385, reader_cost=0.0037 | ETA 16:05:36 2020-12-15 20:03:02 [INFO] [TRAIN] epoch=90, iter=33230/80000, loss=0.1667, lr=0.006169, batch_cost=1.1713, reader_cost=0.0001 | ETA 15:13:03 2020-12-15 20:03:15 [INFO] [TRAIN] epoch=90, iter=33240/80000, loss=0.1929, lr=0.006168, batch_cost=1.2636, reader_cost=0.0013 | ETA 16:24:44 2020-12-15 20:03:25 [INFO] [TRAIN] epoch=90, iter=33250/80000, loss=0.1475, lr=0.006166, batch_cost=1.0756, reader_cost=0.0009 | ETA 13:58:04 2020-12-15 20:03:37 [INFO] [TRAIN] epoch=90, iter=33260/80000, loss=0.1584, lr=0.006165, batch_cost=1.1474, reader_cost=0.0005 | ETA 14:53:47 2020-12-15 20:03:49 [INFO] [TRAIN] epoch=90, iter=33270/80000, loss=0.1991, lr=0.006164, batch_cost=1.2054, reader_cost=0.0058 | ETA 15:38:48 2020-12-15 20:04:01 [INFO] [TRAIN] epoch=90, iter=33280/80000, loss=0.1795, lr=0.006163, batch_cost=1.1783, reader_cost=0.0001 | ETA 15:17:27 2020-12-15 20:04:13 [INFO] [TRAIN] epoch=90, iter=33290/80000, loss=0.1737, lr=0.006162, batch_cost=1.1895, reader_cost=0.0001 | ETA 15:26:00 2020-12-15 20:04:25 [INFO] [TRAIN] epoch=90, iter=33300/80000, loss=0.1940, lr=0.006160, batch_cost=1.2525, reader_cost=0.0009 | ETA 16:14:51 2020-12-15 20:04:37 [INFO] [TRAIN] epoch=90, iter=33310/80000, loss=0.1759, lr=0.006159, batch_cost=1.2303, reader_cost=0.0005 | ETA 15:57:21 2020-12-15 20:04:50 [INFO] [TRAIN] epoch=90, iter=33320/80000, loss=0.2110, lr=0.006158, batch_cost=1.2600, reader_cost=0.0024 | ETA 16:20:18 2020-12-15 20:05:02 [INFO] [TRAIN] epoch=90, iter=33330/80000, loss=0.1749, lr=0.006157, batch_cost=1.1934, reader_cost=0.0013 | ETA 15:28:14 2020-12-15 20:05:14 [INFO] [TRAIN] epoch=90, iter=33340/80000, loss=0.1974, lr=0.006156, batch_cost=1.2595, reader_cost=0.0005 | ETA 16:19:26 2020-12-15 20:05:26 [INFO] [TRAIN] epoch=90, iter=33350/80000, loss=0.1713, lr=0.006155, batch_cost=1.1858, reader_cost=0.0028 | ETA 15:21:56 2020-12-15 20:05:38 [INFO] [TRAIN] epoch=90, iter=33360/80000, loss=0.1896, lr=0.006153, batch_cost=1.1685, reader_cost=0.0017 | ETA 15:08:20 2020-12-15 20:05:47 [INFO] [TRAIN] epoch=90, iter=33370/80000, loss=0.1445, lr=0.006152, batch_cost=0.8796, reader_cost=0.0018 | ETA 11:23:36 2020-12-15 20:05:56 [INFO] [TRAIN] epoch=90, iter=33380/80000, loss=0.1796, lr=0.006151, batch_cost=0.8826, reader_cost=0.0009 | ETA 11:25:47 2020-12-15 20:06:07 [INFO] [TRAIN] epoch=90, iter=33390/80000, loss=0.1749, lr=0.006150, batch_cost=1.1130, reader_cost=0.0014 | ETA 14:24:38 2020-12-15 20:06:18 [INFO] [TRAIN] epoch=90, iter=33400/80000, loss=0.1581, lr=0.006149, batch_cost=1.1716, reader_cost=0.0001 | ETA 15:09:57 2020-12-15 20:06:30 [INFO] [TRAIN] epoch=90, iter=33410/80000, loss=0.2145, lr=0.006147, batch_cost=1.1934, reader_cost=0.0011 | ETA 15:26:40 2020-12-15 20:06:43 [INFO] [TRAIN] epoch=90, iter=33420/80000, loss=0.1602, lr=0.006146, batch_cost=1.2487, reader_cost=0.0037 | ETA 16:09:23 2020-12-15 20:06:54 [INFO] [TRAIN] epoch=90, iter=33430/80000, loss=0.1495, lr=0.006145, batch_cost=1.1413, reader_cost=0.0042 | ETA 14:45:49 2020-12-15 20:07:07 [INFO] [TRAIN] epoch=90, iter=33440/80000, loss=0.1665, lr=0.006144, batch_cost=1.2624, reader_cost=0.0017 | ETA 16:19:38 2020-12-15 20:07:20 [INFO] [TRAIN] epoch=90, iter=33450/80000, loss=0.2192, lr=0.006143, batch_cost=1.2568, reader_cost=0.0006 | ETA 16:15:06 2020-12-15 20:07:33 [INFO] [TRAIN] epoch=90, iter=33460/80000, loss=0.2012, lr=0.006141, batch_cost=1.3509, reader_cost=0.0001 | ETA 17:27:52 2020-12-15 20:07:45 [INFO] [TRAIN] epoch=90, iter=33470/80000, loss=0.1553, lr=0.006140, batch_cost=1.2054, reader_cost=0.0001 | ETA 15:34:49 2020-12-15 20:07:55 [INFO] [TRAIN] epoch=90, iter=33480/80000, loss=0.1688, lr=0.006139, batch_cost=1.0377, reader_cost=0.0056 | ETA 13:24:34 2020-12-15 20:08:10 [INFO] [TRAIN] epoch=91, iter=33490/80000, loss=0.1451, lr=0.006138, batch_cost=1.4065, reader_cost=0.0948 | ETA 18:10:15 2020-12-15 20:08:23 [INFO] [TRAIN] epoch=91, iter=33500/80000, loss=0.1806, lr=0.006137, batch_cost=1.3022, reader_cost=0.0024 | ETA 16:49:10 2020-12-15 20:08:35 [INFO] [TRAIN] epoch=91, iter=33510/80000, loss=0.2786, lr=0.006136, batch_cost=1.2309, reader_cost=0.0001 | ETA 15:53:45 2020-12-15 20:08:47 [INFO] [TRAIN] epoch=91, iter=33520/80000, loss=0.1793, lr=0.006134, batch_cost=1.2131, reader_cost=0.0001 | ETA 15:39:45 2020-12-15 20:08:58 [INFO] [TRAIN] epoch=91, iter=33530/80000, loss=0.1683, lr=0.006133, batch_cost=1.1422, reader_cost=0.0005 | ETA 14:44:39 2020-12-15 20:09:10 [INFO] [TRAIN] epoch=91, iter=33540/80000, loss=0.2451, lr=0.006132, batch_cost=1.1886, reader_cost=0.0029 | ETA 15:20:20 2020-12-15 20:09:22 [INFO] [TRAIN] epoch=91, iter=33550/80000, loss=0.2063, lr=0.006131, batch_cost=1.1775, reader_cost=0.0001 | ETA 15:11:32 2020-12-15 20:09:34 [INFO] [TRAIN] epoch=91, iter=33560/80000, loss=0.1779, lr=0.006130, batch_cost=1.1723, reader_cost=0.0001 | ETA 15:07:21 2020-12-15 20:09:45 [INFO] [TRAIN] epoch=91, iter=33570/80000, loss=0.1835, lr=0.006128, batch_cost=1.0686, reader_cost=0.0001 | ETA 13:46:56 2020-12-15 20:09:56 [INFO] [TRAIN] epoch=91, iter=33580/80000, loss=0.2168, lr=0.006127, batch_cost=1.1416, reader_cost=0.0006 | ETA 14:43:11 2020-12-15 20:10:07 [INFO] [TRAIN] epoch=91, iter=33590/80000, loss=0.1817, lr=0.006126, batch_cost=1.0925, reader_cost=0.0020 | ETA 14:05:04 2020-12-15 20:10:18 [INFO] [TRAIN] epoch=91, iter=33600/80000, loss=0.2161, lr=0.006125, batch_cost=1.0967, reader_cost=0.0002 | ETA 14:08:06 2020-12-15 20:10:26 [INFO] [TRAIN] epoch=91, iter=33610/80000, loss=0.1987, lr=0.006124, batch_cost=0.8070, reader_cost=0.0001 | ETA 10:23:57 2020-12-15 20:10:36 [INFO] [TRAIN] epoch=91, iter=33620/80000, loss=0.1738, lr=0.006122, batch_cost=0.9626, reader_cost=0.0041 | ETA 12:24:05 2020-12-15 20:10:46 [INFO] [TRAIN] epoch=91, iter=33630/80000, loss=0.1156, lr=0.006121, batch_cost=1.0543, reader_cost=0.0014 | ETA 13:34:49 2020-12-15 20:10:58 [INFO] [TRAIN] epoch=91, iter=33640/80000, loss=0.1857, lr=0.006120, batch_cost=1.1734, reader_cost=0.0022 | ETA 15:06:38 2020-12-15 20:11:11 [INFO] [TRAIN] epoch=91, iter=33650/80000, loss=0.1515, lr=0.006119, batch_cost=1.2860, reader_cost=0.0002 | ETA 16:33:26 2020-12-15 20:11:22 [INFO] [TRAIN] epoch=91, iter=33660/80000, loss=0.1846, lr=0.006118, batch_cost=1.1250, reader_cost=0.0006 | ETA 14:28:52 2020-12-15 20:11:33 [INFO] [TRAIN] epoch=91, iter=33670/80000, loss=0.1247, lr=0.006117, batch_cost=1.1022, reader_cost=0.0015 | ETA 14:11:05 2020-12-15 20:11:46 [INFO] [TRAIN] epoch=91, iter=33680/80000, loss=0.1538, lr=0.006115, batch_cost=1.2675, reader_cost=0.0008 | ETA 16:18:28 2020-12-15 20:11:59 [INFO] [TRAIN] epoch=91, iter=33690/80000, loss=0.1165, lr=0.006114, batch_cost=1.3327, reader_cost=0.0001 | ETA 17:08:36 2020-12-15 20:12:11 [INFO] [TRAIN] epoch=91, iter=33700/80000, loss=0.1500, lr=0.006113, batch_cost=1.1993, reader_cost=0.0026 | ETA 15:25:29 2020-12-15 20:12:23 [INFO] [TRAIN] epoch=91, iter=33710/80000, loss=0.1863, lr=0.006112, batch_cost=1.1681, reader_cost=0.0024 | ETA 15:01:12 2020-12-15 20:12:34 [INFO] [TRAIN] epoch=91, iter=33720/80000, loss=0.1439, lr=0.006111, batch_cost=1.1558, reader_cost=0.0014 | ETA 14:51:32 2020-12-15 20:12:46 [INFO] [TRAIN] epoch=91, iter=33730/80000, loss=0.1761, lr=0.006109, batch_cost=1.2230, reader_cost=0.0014 | ETA 15:43:08 2020-12-15 20:12:58 [INFO] [TRAIN] epoch=91, iter=33740/80000, loss=0.1501, lr=0.006108, batch_cost=1.1316, reader_cost=0.0001 | ETA 14:32:28 2020-12-15 20:13:09 [INFO] [TRAIN] epoch=91, iter=33750/80000, loss=0.1729, lr=0.006107, batch_cost=1.1228, reader_cost=0.0027 | ETA 14:25:30 2020-12-15 20:13:21 [INFO] [TRAIN] epoch=91, iter=33760/80000, loss=0.1873, lr=0.006106, batch_cost=1.1927, reader_cost=0.0006 | ETA 15:19:08 2020-12-15 20:13:33 [INFO] [TRAIN] epoch=91, iter=33770/80000, loss=0.3208, lr=0.006105, batch_cost=1.2383, reader_cost=0.0005 | ETA 15:54:07 2020-12-15 20:13:46 [INFO] [TRAIN] epoch=91, iter=33780/80000, loss=0.2160, lr=0.006103, batch_cost=1.2593, reader_cost=0.0001 | ETA 16:10:03 2020-12-15 20:13:58 [INFO] [TRAIN] epoch=91, iter=33790/80000, loss=0.2108, lr=0.006102, batch_cost=1.2318, reader_cost=0.0039 | ETA 15:48:39 2020-12-15 20:14:10 [INFO] [TRAIN] epoch=91, iter=33800/80000, loss=0.2121, lr=0.006101, batch_cost=1.1854, reader_cost=0.0040 | ETA 15:12:47 2020-12-15 20:14:22 [INFO] [TRAIN] epoch=91, iter=33810/80000, loss=0.1847, lr=0.006100, batch_cost=1.1836, reader_cost=0.0013 | ETA 15:11:11 2020-12-15 20:14:34 [INFO] [TRAIN] epoch=91, iter=33820/80000, loss=0.1552, lr=0.006099, batch_cost=1.1846, reader_cost=0.0027 | ETA 15:11:44 2020-12-15 20:14:46 [INFO] [TRAIN] epoch=91, iter=33830/80000, loss=0.1514, lr=0.006097, batch_cost=1.2387, reader_cost=0.0002 | ETA 15:53:11 2020-12-15 20:14:55 [INFO] [TRAIN] epoch=91, iter=33840/80000, loss=0.1972, lr=0.006096, batch_cost=0.9372, reader_cost=0.0001 | ETA 12:01:02 2020-12-15 20:15:03 [INFO] [TRAIN] epoch=91, iter=33850/80000, loss=0.1565, lr=0.006095, batch_cost=0.8035, reader_cost=0.0001 | ETA 10:18:03 2020-12-15 20:15:15 [INFO] [TRAIN] epoch=92, iter=33860/80000, loss=0.2042, lr=0.006094, batch_cost=1.1807, reader_cost=0.0608 | ETA 15:07:59 2020-12-15 20:15:28 [INFO] [TRAIN] epoch=92, iter=33870/80000, loss=0.1666, lr=0.006093, batch_cost=1.2287, reader_cost=0.0014 | ETA 15:44:41 2020-12-15 20:15:40 [INFO] [TRAIN] epoch=92, iter=33880/80000, loss=0.1739, lr=0.006092, batch_cost=1.2297, reader_cost=0.0024 | ETA 15:45:15 2020-12-15 20:15:52 [INFO] [TRAIN] epoch=92, iter=33890/80000, loss=0.1507, lr=0.006090, batch_cost=1.1832, reader_cost=0.0001 | ETA 15:09:16 2020-12-15 20:16:04 [INFO] [TRAIN] epoch=92, iter=33900/80000, loss=0.2200, lr=0.006089, batch_cost=1.2081, reader_cost=0.0002 | ETA 15:28:15 2020-12-15 20:16:16 [INFO] [TRAIN] epoch=92, iter=33910/80000, loss=0.1585, lr=0.006088, batch_cost=1.2301, reader_cost=0.0026 | ETA 15:44:57 2020-12-15 20:16:30 [INFO] [TRAIN] epoch=92, iter=33920/80000, loss=0.1912, lr=0.006087, batch_cost=1.3581, reader_cost=0.0001 | ETA 17:23:02 2020-12-15 20:16:42 [INFO] [TRAIN] epoch=92, iter=33930/80000, loss=0.1685, lr=0.006086, batch_cost=1.2164, reader_cost=0.0019 | ETA 15:33:59 2020-12-15 20:16:54 [INFO] [TRAIN] epoch=92, iter=33940/80000, loss=0.1554, lr=0.006084, batch_cost=1.2373, reader_cost=0.0007 | ETA 15:49:50 2020-12-15 20:17:07 [INFO] [TRAIN] epoch=92, iter=33950/80000, loss=0.1511, lr=0.006083, batch_cost=1.2558, reader_cost=0.0011 | ETA 16:03:49 2020-12-15 20:17:19 [INFO] [TRAIN] epoch=92, iter=33960/80000, loss=0.1576, lr=0.006082, batch_cost=1.2329, reader_cost=0.0006 | ETA 15:46:01 2020-12-15 20:17:31 [INFO] [TRAIN] epoch=92, iter=33970/80000, loss=0.1825, lr=0.006081, batch_cost=1.1395, reader_cost=0.0014 | ETA 14:34:11 2020-12-15 20:17:39 [INFO] [TRAIN] epoch=92, iter=33980/80000, loss=0.1528, lr=0.006080, batch_cost=0.8173, reader_cost=0.0001 | ETA 10:26:51 2020-12-15 20:17:47 [INFO] [TRAIN] epoch=92, iter=33990/80000, loss=0.2076, lr=0.006078, batch_cost=0.7929, reader_cost=0.0001 | ETA 10:08:02 2020-12-15 20:17:55 [INFO] [TRAIN] epoch=92, iter=34000/80000, loss=0.1669, lr=0.006077, batch_cost=0.8131, reader_cost=0.0001 | ETA 10:23:20 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-15 20:17:55 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 20:18:45 [INFO] [EVAL] #Images=500 mIoU=0.7644 Acc=0.9574 Kappa=0.9448 2020-12-15 20:18:45 [INFO] [EVAL] Class IoU: [0.9786 0.8282 0.921 0.5364 0.589 0.5841 0.673 0.7532 0.9221 0.6193 0.9437 0.8091 0.6148 0.9485 0.7585 0.8769 0.8024 0.6056 0.7592] 2020-12-15 20:18:45 [INFO] [EVAL] Class Acc: [0.9939 0.8727 0.9496 0.8525 0.7874 0.7823 0.8739 0.9251 0.9553 0.8638 0.9613 0.8901 0.7937 0.9722 0.8386 0.967 0.9208 0.8431 0.8324] 2020-12-15 20:18:53 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 20:19:06 [INFO] [TRAIN] epoch=92, iter=34010/80000, loss=0.2436, lr=0.006076, batch_cost=1.2808, reader_cost=0.0001 | ETA 16:21:42 2020-12-15 20:19:18 [INFO] [TRAIN] epoch=92, iter=34020/80000, loss=0.1451, lr=0.006075, batch_cost=1.2270, reader_cost=0.0001 | ETA 15:40:16 2020-12-15 20:19:30 [INFO] [TRAIN] epoch=92, iter=34030/80000, loss=0.1677, lr=0.006074, batch_cost=1.1844, reader_cost=0.0001 | ETA 15:07:29 2020-12-15 20:19:43 [INFO] [TRAIN] epoch=92, iter=34040/80000, loss=0.1664, lr=0.006073, batch_cost=1.2862, reader_cost=0.0001 | ETA 16:25:13 2020-12-15 20:19:54 [INFO] [TRAIN] epoch=92, iter=34050/80000, loss=0.1954, lr=0.006071, batch_cost=1.1789, reader_cost=0.0016 | ETA 15:02:49 2020-12-15 20:20:03 [INFO] [TRAIN] epoch=92, iter=34060/80000, loss=0.2478, lr=0.006070, batch_cost=0.8497, reader_cost=0.0002 | ETA 10:50:34 2020-12-15 20:20:12 [INFO] [TRAIN] epoch=92, iter=34070/80000, loss=0.1185, lr=0.006069, batch_cost=0.9408, reader_cost=0.0012 | ETA 12:00:10 2020-12-15 20:20:24 [INFO] [TRAIN] epoch=92, iter=34080/80000, loss=0.1818, lr=0.006068, batch_cost=1.1937, reader_cost=0.0019 | ETA 15:13:34 2020-12-15 20:20:37 [INFO] [TRAIN] epoch=92, iter=34090/80000, loss=0.2089, lr=0.006067, batch_cost=1.2789, reader_cost=0.0021 | ETA 16:18:33 2020-12-15 20:20:50 [INFO] [TRAIN] epoch=92, iter=34100/80000, loss=0.1563, lr=0.006065, batch_cost=1.3428, reader_cost=0.0002 | ETA 17:07:13 2020-12-15 20:21:03 [INFO] [TRAIN] epoch=92, iter=34110/80000, loss=0.1507, lr=0.006064, batch_cost=1.2487, reader_cost=0.0004 | ETA 15:55:04 2020-12-15 20:21:15 [INFO] [TRAIN] epoch=92, iter=34120/80000, loss=0.1442, lr=0.006063, batch_cost=1.1669, reader_cost=0.0007 | ETA 14:52:15 2020-12-15 20:21:26 [INFO] [TRAIN] epoch=92, iter=34130/80000, loss=0.1510, lr=0.006062, batch_cost=1.1675, reader_cost=0.0001 | ETA 14:52:35 2020-12-15 20:21:41 [INFO] [TRAIN] epoch=92, iter=34140/80000, loss=0.1775, lr=0.006061, batch_cost=1.4215, reader_cost=0.0001 | ETA 18:06:31 2020-12-15 20:21:53 [INFO] [TRAIN] epoch=92, iter=34150/80000, loss=0.1853, lr=0.006059, batch_cost=1.2807, reader_cost=0.0001 | ETA 16:18:39 2020-12-15 20:22:05 [INFO] [TRAIN] epoch=92, iter=34160/80000, loss=0.1802, lr=0.006058, batch_cost=1.1772, reader_cost=0.0062 | ETA 14:59:24 2020-12-15 20:22:18 [INFO] [TRAIN] epoch=92, iter=34170/80000, loss=0.1847, lr=0.006057, batch_cost=1.2690, reader_cost=0.0001 | ETA 16:09:18 2020-12-15 20:22:31 [INFO] [TRAIN] epoch=92, iter=34180/80000, loss=0.1552, lr=0.006056, batch_cost=1.2785, reader_cost=0.0008 | ETA 16:16:22 2020-12-15 20:22:43 [INFO] [TRAIN] epoch=92, iter=34190/80000, loss=0.1973, lr=0.006055, batch_cost=1.2875, reader_cost=0.0003 | ETA 16:23:01 2020-12-15 20:22:56 [INFO] [TRAIN] epoch=92, iter=34200/80000, loss=0.1710, lr=0.006053, batch_cost=1.2451, reader_cost=0.0007 | ETA 15:50:25 2020-12-15 20:23:10 [INFO] [TRAIN] epoch=92, iter=34210/80000, loss=0.1689, lr=0.006052, batch_cost=1.3986, reader_cost=0.0002 | ETA 17:47:20 2020-12-15 20:23:21 [INFO] [TRAIN] epoch=92, iter=34220/80000, loss=0.2139, lr=0.006051, batch_cost=1.1405, reader_cost=0.0001 | ETA 14:30:10 2020-12-15 20:23:33 [INFO] [TRAIN] epoch=93, iter=34230/80000, loss=0.1391, lr=0.006050, batch_cost=1.1864, reader_cost=0.0754 | ETA 15:05:01 2020-12-15 20:23:45 [INFO] [TRAIN] epoch=93, iter=34240/80000, loss=0.1410, lr=0.006049, batch_cost=1.1455, reader_cost=0.0015 | ETA 14:33:37 2020-12-15 20:23:57 [INFO] [TRAIN] epoch=93, iter=34250/80000, loss=0.1821, lr=0.006048, batch_cost=1.2045, reader_cost=0.0003 | ETA 15:18:24 2020-12-15 20:24:09 [INFO] [TRAIN] epoch=93, iter=34260/80000, loss=0.1554, lr=0.006046, batch_cost=1.2231, reader_cost=0.0010 | ETA 15:32:23 2020-12-15 20:24:20 [INFO] [TRAIN] epoch=93, iter=34270/80000, loss=0.1643, lr=0.006045, batch_cost=1.1305, reader_cost=0.0017 | ETA 14:21:38 2020-12-15 20:24:31 [INFO] [TRAIN] epoch=93, iter=34280/80000, loss=0.1560, lr=0.006044, batch_cost=1.0327, reader_cost=0.0001 | ETA 13:06:53 2020-12-15 20:24:39 [INFO] [TRAIN] epoch=93, iter=34290/80000, loss=0.2358, lr=0.006043, batch_cost=0.8387, reader_cost=0.0001 | ETA 10:38:56 2020-12-15 20:24:49 [INFO] [TRAIN] epoch=93, iter=34300/80000, loss=0.1502, lr=0.006042, batch_cost=0.9964, reader_cost=0.0005 | ETA 12:38:53 2020-12-15 20:25:01 [INFO] [TRAIN] epoch=93, iter=34310/80000, loss=0.1380, lr=0.006040, batch_cost=1.1740, reader_cost=0.0027 | ETA 14:53:58 2020-12-15 20:25:13 [INFO] [TRAIN] epoch=93, iter=34320/80000, loss=0.1625, lr=0.006039, batch_cost=1.2868, reader_cost=0.0025 | ETA 16:19:39 2020-12-15 20:25:26 [INFO] [TRAIN] epoch=93, iter=34330/80000, loss=0.1896, lr=0.006038, batch_cost=1.2027, reader_cost=0.0001 | ETA 15:15:25 2020-12-15 20:25:37 [INFO] [TRAIN] epoch=93, iter=34340/80000, loss=0.1690, lr=0.006037, batch_cost=1.1019, reader_cost=0.0020 | ETA 13:58:31 2020-12-15 20:25:49 [INFO] [TRAIN] epoch=93, iter=34350/80000, loss=0.1553, lr=0.006036, batch_cost=1.2405, reader_cost=0.0014 | ETA 15:43:50 2020-12-15 20:26:02 [INFO] [TRAIN] epoch=93, iter=34360/80000, loss=0.1257, lr=0.006034, batch_cost=1.2815, reader_cost=0.0028 | ETA 16:14:46 2020-12-15 20:26:13 [INFO] [TRAIN] epoch=93, iter=34370/80000, loss=0.1866, lr=0.006033, batch_cost=1.0801, reader_cost=0.0005 | ETA 13:41:26 2020-12-15 20:26:25 [INFO] [TRAIN] epoch=93, iter=34380/80000, loss=0.1640, lr=0.006032, batch_cost=1.2542, reader_cost=0.0004 | ETA 15:53:36 2020-12-15 20:26:37 [INFO] [TRAIN] epoch=93, iter=34390/80000, loss=0.1529, lr=0.006031, batch_cost=1.2238, reader_cost=0.0002 | ETA 15:30:15 2020-12-15 20:26:48 [INFO] [TRAIN] epoch=93, iter=34400/80000, loss=0.1520, lr=0.006030, batch_cost=1.1114, reader_cost=0.0001 | ETA 14:04:41 2020-12-15 20:27:02 [INFO] [TRAIN] epoch=93, iter=34410/80000, loss=0.2711, lr=0.006029, batch_cost=1.3412, reader_cost=0.0050 | ETA 16:59:05 2020-12-15 20:27:14 [INFO] [TRAIN] epoch=93, iter=34420/80000, loss=0.1791, lr=0.006027, batch_cost=1.2318, reader_cost=0.0012 | ETA 15:35:45 2020-12-15 20:27:27 [INFO] [TRAIN] epoch=93, iter=34430/80000, loss=0.2244, lr=0.006026, batch_cost=1.2493, reader_cost=0.0030 | ETA 15:48:51 2020-12-15 20:27:38 [INFO] [TRAIN] epoch=93, iter=34440/80000, loss=0.1837, lr=0.006025, batch_cost=1.1579, reader_cost=0.0014 | ETA 14:39:13 2020-12-15 20:27:50 [INFO] [TRAIN] epoch=93, iter=34450/80000, loss=0.1641, lr=0.006024, batch_cost=1.1553, reader_cost=0.0003 | ETA 14:37:05 2020-12-15 20:28:01 [INFO] [TRAIN] epoch=93, iter=34460/80000, loss=0.1786, lr=0.006023, batch_cost=1.1476, reader_cost=0.0003 | ETA 14:31:01 2020-12-15 20:28:14 [INFO] [TRAIN] epoch=93, iter=34470/80000, loss=0.1804, lr=0.006021, batch_cost=1.2862, reader_cost=0.0002 | ETA 16:16:01 2020-12-15 20:28:26 [INFO] [TRAIN] epoch=93, iter=34480/80000, loss=0.1467, lr=0.006020, batch_cost=1.1522, reader_cost=0.0015 | ETA 14:34:09 2020-12-15 20:28:38 [INFO] [TRAIN] epoch=93, iter=34490/80000, loss=0.1997, lr=0.006019, batch_cost=1.2339, reader_cost=0.0004 | ETA 15:35:55 2020-12-15 20:28:51 [INFO] [TRAIN] epoch=93, iter=34500/80000, loss=0.1365, lr=0.006018, batch_cost=1.2561, reader_cost=0.0034 | ETA 15:52:33 2020-12-15 20:29:03 [INFO] [TRAIN] epoch=93, iter=34510/80000, loss=0.1572, lr=0.006017, batch_cost=1.1916, reader_cost=0.0001 | ETA 15:03:26 2020-12-15 20:29:11 [INFO] [TRAIN] epoch=93, iter=34520/80000, loss=0.1566, lr=0.006015, batch_cost=0.7996, reader_cost=0.0001 | ETA 10:06:07 2020-12-15 20:29:21 [INFO] [TRAIN] epoch=93, iter=34530/80000, loss=0.1764, lr=0.006014, batch_cost=1.0113, reader_cost=0.0001 | ETA 12:46:21 2020-12-15 20:29:33 [INFO] [TRAIN] epoch=93, iter=34540/80000, loss=0.1917, lr=0.006013, batch_cost=1.2736, reader_cost=0.0002 | ETA 16:04:56 2020-12-15 20:29:46 [INFO] [TRAIN] epoch=93, iter=34550/80000, loss=0.3175, lr=0.006012, batch_cost=1.2549, reader_cost=0.0010 | ETA 15:50:34 2020-12-15 20:29:58 [INFO] [TRAIN] epoch=93, iter=34560/80000, loss=0.2193, lr=0.006011, batch_cost=1.2146, reader_cost=0.0014 | ETA 15:19:49 2020-12-15 20:30:11 [INFO] [TRAIN] epoch=93, iter=34570/80000, loss=0.2177, lr=0.006009, batch_cost=1.2962, reader_cost=0.0022 | ETA 16:21:24 2020-12-15 20:30:24 [INFO] [TRAIN] epoch=93, iter=34580/80000, loss=0.1682, lr=0.006008, batch_cost=1.2771, reader_cost=0.0034 | ETA 16:06:46 2020-12-15 20:30:36 [INFO] [TRAIN] epoch=93, iter=34590/80000, loss=0.1445, lr=0.006007, batch_cost=1.2134, reader_cost=0.0003 | ETA 15:18:22 2020-12-15 20:30:47 [INFO] [TRAIN] epoch=94, iter=34600/80000, loss=0.2449, lr=0.006006, batch_cost=1.1326, reader_cost=0.0716 | ETA 14:16:58 2020-12-15 20:30:59 [INFO] [TRAIN] epoch=94, iter=34610/80000, loss=0.2313, lr=0.006005, batch_cost=1.2231, reader_cost=0.0001 | ETA 15:25:15 2020-12-15 20:31:12 [INFO] [TRAIN] epoch=94, iter=34620/80000, loss=0.2303, lr=0.006004, batch_cost=1.2850, reader_cost=0.0006 | ETA 16:11:53 2020-12-15 20:31:24 [INFO] [TRAIN] epoch=94, iter=34630/80000, loss=0.1888, lr=0.006002, batch_cost=1.2084, reader_cost=0.0036 | ETA 15:13:46 2020-12-15 20:31:38 [INFO] [TRAIN] epoch=94, iter=34640/80000, loss=0.2517, lr=0.006001, batch_cost=1.3583, reader_cost=0.0014 | ETA 17:06:53 2020-12-15 20:31:51 [INFO] [TRAIN] epoch=94, iter=34650/80000, loss=0.2128, lr=0.006000, batch_cost=1.2900, reader_cost=0.0001 | ETA 16:15:01 2020-12-15 20:32:03 [INFO] [TRAIN] epoch=94, iter=34660/80000, loss=0.1495, lr=0.005999, batch_cost=1.1925, reader_cost=0.0001 | ETA 15:01:10 2020-12-15 20:32:15 [INFO] [TRAIN] epoch=94, iter=34670/80000, loss=0.1673, lr=0.005998, batch_cost=1.2314, reader_cost=0.0013 | ETA 15:30:19 2020-12-15 20:32:27 [INFO] [TRAIN] epoch=94, iter=34680/80000, loss=0.1410, lr=0.005996, batch_cost=1.1860, reader_cost=0.0001 | ETA 14:55:48 2020-12-15 20:32:39 [INFO] [TRAIN] epoch=94, iter=34690/80000, loss=0.2104, lr=0.005995, batch_cost=1.2375, reader_cost=0.0006 | ETA 15:34:32 2020-12-15 20:32:52 [INFO] [TRAIN] epoch=94, iter=34700/80000, loss=0.1813, lr=0.005994, batch_cost=1.3052, reader_cost=0.0006 | ETA 16:25:23 2020-12-15 20:33:05 [INFO] [TRAIN] epoch=94, iter=34710/80000, loss=0.2482, lr=0.005993, batch_cost=1.2074, reader_cost=0.0013 | ETA 15:11:25 2020-12-15 20:33:18 [INFO] [TRAIN] epoch=94, iter=34720/80000, loss=0.2296, lr=0.005992, batch_cost=1.3547, reader_cost=0.0001 | ETA 17:02:18 2020-12-15 20:33:32 [INFO] [TRAIN] epoch=94, iter=34730/80000, loss=0.1876, lr=0.005990, batch_cost=1.3460, reader_cost=0.0002 | ETA 16:55:35 2020-12-15 20:33:42 [INFO] [TRAIN] epoch=94, iter=34740/80000, loss=0.1525, lr=0.005989, batch_cost=1.0074, reader_cost=0.0001 | ETA 12:39:53 2020-12-15 20:33:50 [INFO] [TRAIN] epoch=94, iter=34750/80000, loss=0.1663, lr=0.005988, batch_cost=0.8061, reader_cost=0.0001 | ETA 10:07:55 2020-12-15 20:34:00 [INFO] [TRAIN] epoch=94, iter=34760/80000, loss=0.1651, lr=0.005987, batch_cost=1.0163, reader_cost=0.0001 | ETA 12:46:15 2020-12-15 20:34:13 [INFO] [TRAIN] epoch=94, iter=34770/80000, loss=0.1766, lr=0.005986, batch_cost=1.2823, reader_cost=0.0003 | ETA 16:06:36 2020-12-15 20:34:24 [INFO] [TRAIN] epoch=94, iter=34780/80000, loss=0.1731, lr=0.005984, batch_cost=1.1752, reader_cost=0.0004 | ETA 14:45:44 2020-12-15 20:34:37 [INFO] [TRAIN] epoch=94, iter=34790/80000, loss=0.1626, lr=0.005983, batch_cost=1.2351, reader_cost=0.0008 | ETA 15:30:38 2020-12-15 20:34:49 [INFO] [TRAIN] epoch=94, iter=34800/80000, loss=0.1872, lr=0.005982, batch_cost=1.2207, reader_cost=0.0001 | ETA 15:19:34 2020-12-15 20:35:02 [INFO] [TRAIN] epoch=94, iter=34810/80000, loss=0.1708, lr=0.005981, batch_cost=1.2752, reader_cost=0.0041 | ETA 16:00:27 2020-12-15 20:35:14 [INFO] [TRAIN] epoch=94, iter=34820/80000, loss=0.1820, lr=0.005980, batch_cost=1.2724, reader_cost=0.0001 | ETA 15:58:09 2020-12-15 20:35:28 [INFO] [TRAIN] epoch=94, iter=34830/80000, loss=0.1608, lr=0.005979, batch_cost=1.3162, reader_cost=0.0007 | ETA 16:30:54 2020-12-15 20:35:41 [INFO] [TRAIN] epoch=94, iter=34840/80000, loss=0.1722, lr=0.005977, batch_cost=1.3126, reader_cost=0.0018 | ETA 16:27:54 2020-12-15 20:35:53 [INFO] [TRAIN] epoch=94, iter=34850/80000, loss=0.1406, lr=0.005976, batch_cost=1.2554, reader_cost=0.0002 | ETA 15:44:40 2020-12-15 20:36:06 [INFO] [TRAIN] epoch=94, iter=34860/80000, loss=0.1526, lr=0.005975, batch_cost=1.2975, reader_cost=0.0001 | ETA 16:16:07 2020-12-15 20:36:19 [INFO] [TRAIN] epoch=94, iter=34870/80000, loss=0.2241, lr=0.005974, batch_cost=1.2874, reader_cost=0.0001 | ETA 16:08:22 2020-12-15 20:36:32 [INFO] [TRAIN] epoch=94, iter=34880/80000, loss=0.2929, lr=0.005973, batch_cost=1.2633, reader_cost=0.0024 | ETA 15:49:59 2020-12-15 20:36:44 [INFO] [TRAIN] epoch=94, iter=34890/80000, loss=0.2058, lr=0.005971, batch_cost=1.2213, reader_cost=0.0001 | ETA 15:18:11 2020-12-15 20:36:57 [INFO] [TRAIN] epoch=94, iter=34900/80000, loss=0.2120, lr=0.005970, batch_cost=1.2863, reader_cost=0.0001 | ETA 16:06:51 2020-12-15 20:37:10 [INFO] [TRAIN] epoch=94, iter=34910/80000, loss=0.1509, lr=0.005969, batch_cost=1.2857, reader_cost=0.0022 | ETA 16:06:13 2020-12-15 20:37:22 [INFO] [TRAIN] epoch=94, iter=34920/80000, loss=0.1557, lr=0.005968, batch_cost=1.1999, reader_cost=0.0030 | ETA 15:01:32 2020-12-15 20:37:34 [INFO] [TRAIN] epoch=94, iter=34930/80000, loss=0.1523, lr=0.005967, batch_cost=1.2199, reader_cost=0.0015 | ETA 15:16:22 2020-12-15 20:37:47 [INFO] [TRAIN] epoch=94, iter=34940/80000, loss=0.1810, lr=0.005965, batch_cost=1.2900, reader_cost=0.0006 | ETA 16:08:48 2020-12-15 20:38:00 [INFO] [TRAIN] epoch=94, iter=34950/80000, loss=0.1733, lr=0.005964, batch_cost=1.2943, reader_cost=0.0027 | ETA 16:11:49 2020-12-15 20:38:12 [INFO] [TRAIN] epoch=94, iter=34960/80000, loss=0.2449, lr=0.005963, batch_cost=1.2223, reader_cost=0.0028 | ETA 15:17:30 2020-12-15 20:38:22 [INFO] [TRAIN] epoch=95, iter=34970/80000, loss=0.1252, lr=0.005962, batch_cost=0.9863, reader_cost=0.0709 | ETA 12:20:13 2020-12-15 20:38:32 [INFO] [TRAIN] epoch=95, iter=34980/80000, loss=0.1873, lr=0.005961, batch_cost=1.0624, reader_cost=0.0001 | ETA 13:17:07 2020-12-15 20:38:44 [INFO] [TRAIN] epoch=95, iter=34990/80000, loss=0.2152, lr=0.005959, batch_cost=1.1232, reader_cost=0.0003 | ETA 14:02:33 2020-12-15 20:38:55 [INFO] [TRAIN] epoch=95, iter=35000/80000, loss=0.1719, lr=0.005958, batch_cost=1.0788, reader_cost=0.0020 | ETA 13:29:07 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 20:38:55 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 20:39:45 [INFO] [EVAL] #Images=500 mIoU=0.7663 Acc=0.9582 Kappa=0.9458 2020-12-15 20:39:45 [INFO] [EVAL] Class IoU: [0.9806 0.8438 0.9224 0.5025 0.6116 0.5951 0.6862 0.769 0.9192 0.6447 0.945 0.8008 0.6086 0.9453 0.7957 0.8561 0.756 0.6123 0.7641] 2020-12-15 20:39:45 [INFO] [EVAL] Class Acc: [0.9937 0.9107 0.9572 0.8795 0.757 0.7331 0.8569 0.8838 0.9476 0.8725 0.9688 0.8549 0.8168 0.9673 0.9522 0.9122 0.9136 0.87 0.8452] 2020-12-15 20:39:51 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 20:40:05 [INFO] [TRAIN] epoch=95, iter=35010/80000, loss=0.1635, lr=0.005957, batch_cost=1.3342, reader_cost=0.0018 | ETA 16:40:26 2020-12-15 20:40:17 [INFO] [TRAIN] epoch=95, iter=35020/80000, loss=0.1750, lr=0.005956, batch_cost=1.2565, reader_cost=0.0001 | ETA 15:41:55 2020-12-15 20:40:30 [INFO] [TRAIN] epoch=95, iter=35030/80000, loss=0.1326, lr=0.005955, batch_cost=1.2418, reader_cost=0.0005 | ETA 15:30:45 2020-12-15 20:40:41 [INFO] [TRAIN] epoch=95, iter=35040/80000, loss=0.1729, lr=0.005953, batch_cost=1.1074, reader_cost=0.0006 | ETA 13:49:49 2020-12-15 20:40:53 [INFO] [TRAIN] epoch=95, iter=35050/80000, loss=0.1839, lr=0.005952, batch_cost=1.1930, reader_cost=0.0009 | ETA 14:53:44 2020-12-15 20:41:05 [INFO] [TRAIN] epoch=95, iter=35060/80000, loss=0.2111, lr=0.005951, batch_cost=1.2613, reader_cost=0.0018 | ETA 15:44:44 2020-12-15 20:41:17 [INFO] [TRAIN] epoch=95, iter=35070/80000, loss=0.2115, lr=0.005950, batch_cost=1.1898, reader_cost=0.0024 | ETA 14:50:58 2020-12-15 20:41:29 [INFO] [TRAIN] epoch=95, iter=35080/80000, loss=0.2001, lr=0.005949, batch_cost=1.1491, reader_cost=0.0001 | ETA 14:20:18 2020-12-15 20:41:40 [INFO] [TRAIN] epoch=95, iter=35090/80000, loss=0.2891, lr=0.005948, batch_cost=1.1520, reader_cost=0.0001 | ETA 14:22:15 2020-12-15 20:41:53 [INFO] [TRAIN] epoch=95, iter=35100/80000, loss=0.1690, lr=0.005946, batch_cost=1.2368, reader_cost=0.0001 | ETA 15:25:33 2020-12-15 20:42:06 [INFO] [TRAIN] epoch=95, iter=35110/80000, loss=0.1449, lr=0.005945, batch_cost=1.3138, reader_cost=0.0042 | ETA 16:22:54 2020-12-15 20:42:18 [INFO] [TRAIN] epoch=95, iter=35120/80000, loss=0.1867, lr=0.005944, batch_cost=1.1926, reader_cost=0.0002 | ETA 14:52:02 2020-12-15 20:42:31 [INFO] [TRAIN] epoch=95, iter=35130/80000, loss=0.1993, lr=0.005943, batch_cost=1.3022, reader_cost=0.0001 | ETA 16:13:49 2020-12-15 20:42:39 [INFO] [TRAIN] epoch=95, iter=35140/80000, loss=0.2025, lr=0.005942, batch_cost=0.8526, reader_cost=0.0001 | ETA 10:37:27 2020-12-15 20:42:47 [INFO] [TRAIN] epoch=95, iter=35150/80000, loss=0.1339, lr=0.005940, batch_cost=0.8151, reader_cost=0.0001 | ETA 10:09:16 2020-12-15 20:42:55 [INFO] [TRAIN] epoch=95, iter=35160/80000, loss=0.1530, lr=0.005939, batch_cost=0.8088, reader_cost=0.0001 | ETA 10:04:27 2020-12-15 20:43:03 [INFO] [TRAIN] epoch=95, iter=35170/80000, loss=0.2430, lr=0.005938, batch_cost=0.8041, reader_cost=0.0001 | ETA 10:00:47 2020-12-15 20:43:13 [INFO] [TRAIN] epoch=95, iter=35180/80000, loss=0.1917, lr=0.005937, batch_cost=0.9256, reader_cost=0.0001 | ETA 11:31:24 2020-12-15 20:43:23 [INFO] [TRAIN] epoch=95, iter=35190/80000, loss=0.2209, lr=0.005936, batch_cost=1.0442, reader_cost=0.0001 | ETA 12:59:48 2020-12-15 20:43:31 [INFO] [TRAIN] epoch=95, iter=35200/80000, loss=0.1548, lr=0.005934, batch_cost=0.8205, reader_cost=0.0001 | ETA 10:12:37 2020-12-15 20:43:42 [INFO] [TRAIN] epoch=95, iter=35210/80000, loss=0.1298, lr=0.005933, batch_cost=1.0817, reader_cost=0.0001 | ETA 13:27:30 2020-12-15 20:43:54 [INFO] [TRAIN] epoch=95, iter=35220/80000, loss=0.1290, lr=0.005932, batch_cost=1.2195, reader_cost=0.0001 | ETA 15:10:10 2020-12-15 20:44:07 [INFO] [TRAIN] epoch=95, iter=35230/80000, loss=0.1959, lr=0.005931, batch_cost=1.2566, reader_cost=0.0021 | ETA 15:37:35 2020-12-15 20:44:20 [INFO] [TRAIN] epoch=95, iter=35240/80000, loss=0.1570, lr=0.005930, batch_cost=1.3262, reader_cost=0.0006 | ETA 16:29:18 2020-12-15 20:44:33 [INFO] [TRAIN] epoch=95, iter=35250/80000, loss=0.1320, lr=0.005928, batch_cost=1.2542, reader_cost=0.0001 | ETA 15:35:26 2020-12-15 20:44:45 [INFO] [TRAIN] epoch=95, iter=35260/80000, loss=0.1183, lr=0.005927, batch_cost=1.1729, reader_cost=0.0007 | ETA 14:34:34 2020-12-15 20:44:56 [INFO] [TRAIN] epoch=95, iter=35270/80000, loss=0.1903, lr=0.005926, batch_cost=1.1951, reader_cost=0.0013 | ETA 14:50:54 2020-12-15 20:45:08 [INFO] [TRAIN] epoch=95, iter=35280/80000, loss=0.1530, lr=0.005925, batch_cost=1.1412, reader_cost=0.0002 | ETA 14:10:33 2020-12-15 20:45:20 [INFO] [TRAIN] epoch=95, iter=35290/80000, loss=0.1558, lr=0.005924, batch_cost=1.1960, reader_cost=0.0028 | ETA 14:51:12 2020-12-15 20:45:32 [INFO] [TRAIN] epoch=95, iter=35300/80000, loss=0.1516, lr=0.005922, batch_cost=1.1806, reader_cost=0.0007 | ETA 14:39:31 2020-12-15 20:45:43 [INFO] [TRAIN] epoch=95, iter=35310/80000, loss=0.1826, lr=0.005921, batch_cost=1.1347, reader_cost=0.0001 | ETA 14:05:10 2020-12-15 20:45:55 [INFO] [TRAIN] epoch=95, iter=35320/80000, loss=0.1699, lr=0.005920, batch_cost=1.2009, reader_cost=0.0001 | ETA 14:54:16 2020-12-15 20:46:08 [INFO] [TRAIN] epoch=95, iter=35330/80000, loss=0.1342, lr=0.005919, batch_cost=1.2902, reader_cost=0.0005 | ETA 16:00:34 2020-12-15 20:46:18 [INFO] [TRAIN] epoch=95, iter=35340/80000, loss=0.1971, lr=0.005918, batch_cost=0.9648, reader_cost=0.0005 | ETA 11:58:10 2020-12-15 20:46:32 [INFO] [TRAIN] epoch=96, iter=35350/80000, loss=0.1407, lr=0.005917, batch_cost=1.4180, reader_cost=0.0623 | ETA 17:35:11 2020-12-15 20:46:45 [INFO] [TRAIN] epoch=96, iter=35360/80000, loss=0.2938, lr=0.005915, batch_cost=1.3247, reader_cost=0.0011 | ETA 16:25:35 2020-12-15 20:46:57 [INFO] [TRAIN] epoch=96, iter=35370/80000, loss=0.2071, lr=0.005914, batch_cost=1.2060, reader_cost=0.0003 | ETA 14:57:02 2020-12-15 20:47:09 [INFO] [TRAIN] epoch=96, iter=35380/80000, loss=0.1746, lr=0.005913, batch_cost=1.2069, reader_cost=0.0007 | ETA 14:57:32 2020-12-15 20:47:21 [INFO] [TRAIN] epoch=96, iter=35390/80000, loss=0.1512, lr=0.005912, batch_cost=1.1877, reader_cost=0.0005 | ETA 14:43:03 2020-12-15 20:47:33 [INFO] [TRAIN] epoch=96, iter=35400/80000, loss=0.1956, lr=0.005911, batch_cost=1.1938, reader_cost=0.0025 | ETA 14:47:24 2020-12-15 20:47:45 [INFO] [TRAIN] epoch=96, iter=35410/80000, loss=0.1822, lr=0.005909, batch_cost=1.2078, reader_cost=0.0002 | ETA 14:57:34 2020-12-15 20:47:54 [INFO] [TRAIN] epoch=96, iter=35420/80000, loss=0.1750, lr=0.005908, batch_cost=0.9400, reader_cost=0.0001 | ETA 11:38:23 2020-12-15 20:48:03 [INFO] [TRAIN] epoch=96, iter=35430/80000, loss=0.2339, lr=0.005907, batch_cost=0.8835, reader_cost=0.0001 | ETA 10:56:18 2020-12-15 20:48:15 [INFO] [TRAIN] epoch=96, iter=35440/80000, loss=0.1769, lr=0.005906, batch_cost=1.1526, reader_cost=0.0023 | ETA 14:16:01 2020-12-15 20:48:27 [INFO] [TRAIN] epoch=96, iter=35450/80000, loss=0.1457, lr=0.005905, batch_cost=1.2295, reader_cost=0.0001 | ETA 15:12:56 2020-12-15 20:48:39 [INFO] [TRAIN] epoch=96, iter=35460/80000, loss=0.1471, lr=0.005903, batch_cost=1.1814, reader_cost=0.0024 | ETA 14:36:58 2020-12-15 20:48:53 [INFO] [TRAIN] epoch=96, iter=35470/80000, loss=0.1485, lr=0.005902, batch_cost=1.3743, reader_cost=0.0001 | ETA 16:59:59 2020-12-15 20:49:05 [INFO] [TRAIN] epoch=96, iter=35480/80000, loss=0.1751, lr=0.005901, batch_cost=1.2689, reader_cost=0.0006 | ETA 15:41:30 2020-12-15 20:49:18 [INFO] [TRAIN] epoch=96, iter=35490/80000, loss=0.2115, lr=0.005900, batch_cost=1.2329, reader_cost=0.0012 | ETA 15:14:35 2020-12-15 20:49:30 [INFO] [TRAIN] epoch=96, iter=35500/80000, loss=0.2107, lr=0.005899, batch_cost=1.2725, reader_cost=0.0021 | ETA 15:43:48 2020-12-15 20:49:43 [INFO] [TRAIN] epoch=96, iter=35510/80000, loss=0.1921, lr=0.005897, batch_cost=1.2682, reader_cost=0.0001 | ETA 15:40:21 2020-12-15 20:49:55 [INFO] [TRAIN] epoch=96, iter=35520/80000, loss=0.1457, lr=0.005896, batch_cost=1.2056, reader_cost=0.0001 | ETA 14:53:44 2020-12-15 20:50:08 [INFO] [TRAIN] epoch=96, iter=35530/80000, loss=0.1709, lr=0.005895, batch_cost=1.2400, reader_cost=0.0001 | ETA 15:19:03 2020-12-15 20:50:20 [INFO] [TRAIN] epoch=96, iter=35540/80000, loss=0.1582, lr=0.005894, batch_cost=1.2924, reader_cost=0.0022 | ETA 15:57:39 2020-12-15 20:50:33 [INFO] [TRAIN] epoch=96, iter=35550/80000, loss=0.2488, lr=0.005893, batch_cost=1.2584, reader_cost=0.0001 | ETA 15:32:16 2020-12-15 20:50:45 [INFO] [TRAIN] epoch=96, iter=35560/80000, loss=0.2189, lr=0.005891, batch_cost=1.1843, reader_cost=0.0002 | ETA 14:37:12 2020-12-15 20:50:57 [INFO] [TRAIN] epoch=96, iter=35570/80000, loss=0.2177, lr=0.005890, batch_cost=1.2190, reader_cost=0.0005 | ETA 15:02:39 2020-12-15 20:51:09 [INFO] [TRAIN] epoch=96, iter=35580/80000, loss=0.2075, lr=0.005889, batch_cost=1.2001, reader_cost=0.0006 | ETA 14:48:29 2020-12-15 20:51:21 [INFO] [TRAIN] epoch=96, iter=35590/80000, loss=0.1475, lr=0.005888, batch_cost=1.1493, reader_cost=0.0002 | ETA 14:10:40 2020-12-15 20:51:34 [INFO] [TRAIN] epoch=96, iter=35600/80000, loss=0.2725, lr=0.005887, batch_cost=1.3086, reader_cost=0.0005 | ETA 16:08:19 2020-12-15 20:51:45 [INFO] [TRAIN] epoch=96, iter=35610/80000, loss=0.2035, lr=0.005886, batch_cost=1.1705, reader_cost=0.0001 | ETA 14:26:00 2020-12-15 20:51:57 [INFO] [TRAIN] epoch=96, iter=35620/80000, loss=0.2539, lr=0.005884, batch_cost=1.1792, reader_cost=0.0001 | ETA 14:32:12 2020-12-15 20:52:09 [INFO] [TRAIN] epoch=96, iter=35630/80000, loss=0.1658, lr=0.005883, batch_cost=1.1620, reader_cost=0.0013 | ETA 14:19:16 2020-12-15 20:52:20 [INFO] [TRAIN] epoch=96, iter=35640/80000, loss=0.1678, lr=0.005882, batch_cost=1.1446, reader_cost=0.0007 | ETA 14:06:16 2020-12-15 20:52:28 [INFO] [TRAIN] epoch=96, iter=35650/80000, loss=0.1967, lr=0.005881, batch_cost=0.7988, reader_cost=0.0001 | ETA 09:50:27 2020-12-15 20:52:37 [INFO] [TRAIN] epoch=96, iter=35660/80000, loss=0.2001, lr=0.005880, batch_cost=0.9215, reader_cost=0.0006 | ETA 11:21:00 2020-12-15 20:52:48 [INFO] [TRAIN] epoch=96, iter=35670/80000, loss=0.1719, lr=0.005878, batch_cost=1.1028, reader_cost=0.0022 | ETA 13:34:48 2020-12-15 20:53:00 [INFO] [TRAIN] epoch=96, iter=35680/80000, loss=0.1994, lr=0.005877, batch_cost=1.1204, reader_cost=0.0009 | ETA 13:47:34 2020-12-15 20:53:11 [INFO] [TRAIN] epoch=96, iter=35690/80000, loss=0.3843, lr=0.005876, batch_cost=1.1729, reader_cost=0.0001 | ETA 14:26:10 2020-12-15 20:53:22 [INFO] [TRAIN] epoch=96, iter=35700/80000, loss=0.2114, lr=0.005875, batch_cost=1.0255, reader_cost=0.0014 | ETA 12:37:09 2020-12-15 20:53:32 [INFO] [TRAIN] epoch=96, iter=35710/80000, loss=0.2380, lr=0.005874, batch_cost=1.0816, reader_cost=0.0001 | ETA 13:18:25 2020-12-15 20:53:45 [INFO] [TRAIN] epoch=97, iter=35720/80000, loss=0.2016, lr=0.005872, batch_cost=1.2797, reader_cost=0.0675 | ETA 15:44:26 2020-12-15 20:53:58 [INFO] [TRAIN] epoch=97, iter=35730/80000, loss=0.1793, lr=0.005871, batch_cost=1.2401, reader_cost=0.0032 | ETA 15:15:00 2020-12-15 20:54:11 [INFO] [TRAIN] epoch=97, iter=35740/80000, loss=0.1560, lr=0.005870, batch_cost=1.3122, reader_cost=0.0001 | ETA 16:07:57 2020-12-15 20:54:24 [INFO] [TRAIN] epoch=97, iter=35750/80000, loss=0.2806, lr=0.005869, batch_cost=1.3121, reader_cost=0.0108 | ETA 16:07:40 2020-12-15 20:54:37 [INFO] [TRAIN] epoch=97, iter=35760/80000, loss=0.2137, lr=0.005868, batch_cost=1.2816, reader_cost=0.0001 | ETA 15:44:57 2020-12-15 20:54:49 [INFO] [TRAIN] epoch=97, iter=35770/80000, loss=0.2366, lr=0.005866, batch_cost=1.2501, reader_cost=0.0001 | ETA 15:21:33 2020-12-15 20:55:01 [INFO] [TRAIN] epoch=97, iter=35780/80000, loss=0.1682, lr=0.005865, batch_cost=1.2010, reader_cost=0.0001 | ETA 14:45:08 2020-12-15 20:55:12 [INFO] [TRAIN] epoch=97, iter=35790/80000, loss=0.1556, lr=0.005864, batch_cost=1.0681, reader_cost=0.0007 | ETA 13:07:01 2020-12-15 20:55:26 [INFO] [TRAIN] epoch=97, iter=35800/80000, loss=0.1486, lr=0.005863, batch_cost=1.4132, reader_cost=0.0009 | ETA 17:21:01 2020-12-15 20:55:38 [INFO] [TRAIN] epoch=97, iter=35810/80000, loss=0.2772, lr=0.005862, batch_cost=1.1985, reader_cost=0.0020 | ETA 14:42:43 2020-12-15 20:55:50 [INFO] [TRAIN] epoch=97, iter=35820/80000, loss=0.2849, lr=0.005860, batch_cost=1.1847, reader_cost=0.0008 | ETA 14:32:19 2020-12-15 20:56:01 [INFO] [TRAIN] epoch=97, iter=35830/80000, loss=0.2831, lr=0.005859, batch_cost=1.1155, reader_cost=0.0001 | ETA 13:41:10 2020-12-15 20:56:13 [INFO] [TRAIN] epoch=97, iter=35840/80000, loss=0.1959, lr=0.005858, batch_cost=1.1472, reader_cost=0.0008 | ETA 14:04:19 2020-12-15 20:56:26 [INFO] [TRAIN] epoch=97, iter=35850/80000, loss=0.1743, lr=0.005857, batch_cost=1.3025, reader_cost=0.0001 | ETA 15:58:24 2020-12-15 20:56:39 [INFO] [TRAIN] epoch=97, iter=35860/80000, loss=0.1837, lr=0.005856, batch_cost=1.3722, reader_cost=0.0002 | ETA 16:49:30 2020-12-15 20:56:53 [INFO] [TRAIN] epoch=97, iter=35870/80000, loss=0.1361, lr=0.005854, batch_cost=1.3907, reader_cost=0.0001 | ETA 17:02:51 2020-12-15 20:57:04 [INFO] [TRAIN] epoch=97, iter=35880/80000, loss=0.1046, lr=0.005853, batch_cost=1.1158, reader_cost=0.0008 | ETA 13:40:29 2020-12-15 20:57:13 [INFO] [TRAIN] epoch=97, iter=35890/80000, loss=0.1596, lr=0.005852, batch_cost=0.8762, reader_cost=0.0001 | ETA 10:44:09 2020-12-15 20:57:27 [INFO] [TRAIN] epoch=97, iter=35900/80000, loss=0.2090, lr=0.005851, batch_cost=1.3501, reader_cost=0.0014 | ETA 16:32:20 2020-12-15 20:57:42 [INFO] [TRAIN] epoch=97, iter=35910/80000, loss=0.2380, lr=0.005850, batch_cost=1.4908, reader_cost=0.0016 | ETA 18:15:30 2020-12-15 20:57:54 [INFO] [TRAIN] epoch=97, iter=35920/80000, loss=0.2097, lr=0.005849, batch_cost=1.2908, reader_cost=0.0001 | ETA 15:48:16 2020-12-15 20:58:06 [INFO] [TRAIN] epoch=97, iter=35930/80000, loss=0.1405, lr=0.005847, batch_cost=1.1953, reader_cost=0.0026 | ETA 14:37:56 2020-12-15 20:58:20 [INFO] [TRAIN] epoch=97, iter=35940/80000, loss=0.2043, lr=0.005846, batch_cost=1.3216, reader_cost=0.0010 | ETA 16:10:31 2020-12-15 20:58:33 [INFO] [TRAIN] epoch=97, iter=35950/80000, loss=0.1390, lr=0.005845, batch_cost=1.2912, reader_cost=0.0001 | ETA 15:47:58 2020-12-15 20:58:45 [INFO] [TRAIN] epoch=97, iter=35960/80000, loss=0.2150, lr=0.005844, batch_cost=1.2710, reader_cost=0.0010 | ETA 15:32:55 2020-12-15 20:58:57 [INFO] [TRAIN] epoch=97, iter=35970/80000, loss=0.1675, lr=0.005843, batch_cost=1.1691, reader_cost=0.0012 | ETA 14:17:54 2020-12-15 20:59:09 [INFO] [TRAIN] epoch=97, iter=35980/80000, loss=0.1251, lr=0.005841, batch_cost=1.1791, reader_cost=0.0013 | ETA 14:25:04 2020-12-15 20:59:21 [INFO] [TRAIN] epoch=97, iter=35990/80000, loss=0.1492, lr=0.005840, batch_cost=1.2414, reader_cost=0.0002 | ETA 15:10:35 2020-12-15 20:59:33 [INFO] [TRAIN] epoch=97, iter=36000/80000, loss=0.1855, lr=0.005839, batch_cost=1.2076, reader_cost=0.0002 | ETA 14:45:35 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 20:59:33 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 21:00:28 [INFO] [EVAL] #Images=500 mIoU=0.7655 Acc=0.9580 Kappa=0.9454 2020-12-15 21:00:28 [INFO] [EVAL] Class IoU: [0.9803 0.8387 0.9204 0.4525 0.5813 0.5904 0.6924 0.7721 0.9198 0.6437 0.9459 0.8103 0.6229 0.9483 0.8126 0.8878 0.7796 0.5907 0.7546] 2020-12-15 21:00:28 [INFO] [EVAL] Class Acc: [0.9893 0.9153 0.9484 0.8907 0.7524 0.7926 0.8238 0.885 0.9527 0.8758 0.9704 0.8934 0.7575 0.973 0.9344 0.934 0.9169 0.859 0.8306] 2020-12-15 21:00:38 [INFO] [EVAL] The model with the best validation mIoU (0.7668) was saved at iter 28000. 2020-12-15 21:00:54 [INFO] [TRAIN] epoch=97, iter=36010/80000, loss=0.1800, lr=0.005838, batch_cost=1.5997, reader_cost=0.0004 | ETA 19:32:49 2020-12-15 21:01:17 [INFO] [TRAIN] epoch=97, iter=36020/80000, loss=0.1880, lr=0.005837, batch_cost=2.2737, reader_cost=0.0018 | ETA 27:46:38 2020-12-15 21:01:43 [INFO] [TRAIN] epoch=97, iter=36030/80000, loss=0.1578, lr=0.005835, batch_cost=2.5514, reader_cost=0.0093 | ETA 31:09:45 2020-12-15 21:02:02 [INFO] [TRAIN] epoch=97, iter=36040/80000, loss=0.2099, lr=0.005834, batch_cost=1.9119, reader_cost=0.0009 | ETA 23:20:45 2020-12-15 21:02:25 [INFO] [TRAIN] epoch=97, iter=36050/80000, loss=0.1914, lr=0.005833, batch_cost=2.3577, reader_cost=0.0077 | ETA 28:47:01 2020-12-15 21:02:42 [INFO] [TRAIN] epoch=97, iter=36060/80000, loss=0.1756, lr=0.005832, batch_cost=1.7009, reader_cost=0.0001 | ETA 20:45:38 2020-12-15 21:02:59 [INFO] [TRAIN] epoch=97, iter=36070/80000, loss=0.1311, lr=0.005831, batch_cost=1.6660, reader_cost=0.0001 | ETA 20:19:49 2020-12-15 21:03:12 [INFO] [TRAIN] epoch=97, iter=36080/80000, loss=0.2347, lr=0.005829, batch_cost=1.3165, reader_cost=0.0005 | ETA 16:03:39 2020-12-15 21:03:28 [INFO] [TRAIN] epoch=98, iter=36090/80000, loss=0.1393, lr=0.005828, batch_cost=1.5255, reader_cost=0.0905 | ETA 18:36:24 2020-12-15 21:03:40 [INFO] [TRAIN] epoch=98, iter=36100/80000, loss=0.1943, lr=0.005827, batch_cost=1.2810, reader_cost=0.0009 | ETA 15:37:17 2020-12-15 21:03:55 [INFO] [TRAIN] epoch=98, iter=36110/80000, loss=0.1697, lr=0.005826, batch_cost=1.4732, reader_cost=0.0022 | ETA 17:57:39 2020-12-15 21:04:10 [INFO] [TRAIN] epoch=98, iter=36120/80000, loss=0.1781, lr=0.005825, batch_cost=1.4444, reader_cost=0.0001 | ETA 17:36:21 2020-12-15 21:04:23 [INFO] [TRAIN] epoch=98, iter=36130/80000, loss=0.1478, lr=0.005823, batch_cost=1.3595, reader_cost=0.0010 | ETA 16:34:01 2020-12-15 21:04:42 [INFO] [TRAIN] epoch=98, iter=36140/80000, loss=0.1638, lr=0.005822, batch_cost=1.8433, reader_cost=0.0021 | ETA 22:27:27 2020-12-15 21:04:56 [INFO] [TRAIN] epoch=98, iter=36150/80000, loss=0.1428, lr=0.005821, batch_cost=1.4088, reader_cost=0.0014 | ETA 17:09:35 2020-12-15 21:05:13 [INFO] [TRAIN] epoch=98, iter=36160/80000, loss=0.1805, lr=0.005820, batch_cost=1.7520, reader_cost=0.0094 | ETA 21:20:07 2020-12-15 21:05:29 [INFO] [TRAIN] epoch=98, iter=36170/80000, loss=0.1249, lr=0.005819, batch_cost=1.5810, reader_cost=0.0011 | ETA 19:14:54 2020-12-15 21:05:45 [INFO] [TRAIN] epoch=98, iter=36180/80000, loss=0.1634, lr=0.005817, batch_cost=1.5588, reader_cost=0.0058 | ETA 18:58:24 2020-12-15 21:05:58 [INFO] [TRAIN] epoch=98, iter=36190/80000, loss=0.1357, lr=0.005816, batch_cost=1.3100, reader_cost=0.0036 | ETA 15:56:32 2020-12-15 21:06:10 [INFO] [TRAIN] epoch=98, iter=36200/80000, loss=0.1852, lr=0.005815, batch_cost=1.2458, reader_cost=0.0001 | ETA 15:09:26 2020-12-15 21:06:24 [INFO] [TRAIN] epoch=98, iter=36210/80000, loss=0.1675, lr=0.005814, batch_cost=1.3558, reader_cost=0.0001 | ETA 16:29:32 2020-12-15 21:06:36 [INFO] [TRAIN] epoch=98, iter=36220/80000, loss=0.1688, lr=0.005813, batch_cost=1.2804, reader_cost=0.0001 | ETA 15:34:15 2020-12-15 21:06:51 [INFO] [TRAIN] epoch=98, iter=36230/80000, loss=0.1443, lr=0.005811, batch_cost=1.4070, reader_cost=0.0010 | ETA 17:06:23 2020-12-15 21:07:03 [INFO] [TRAIN] epoch=98, iter=36240/80000, loss=0.1635, lr=0.005810, batch_cost=1.2298, reader_cost=0.0017 | ETA 14:56:55 2020-12-15 21:07:16 [INFO] [TRAIN] epoch=98, iter=36250/80000, loss=0.2016, lr=0.005809, batch_cost=1.2676, reader_cost=0.0001 | ETA 15:24:16 2020-12-15 21:07:29 [INFO] [TRAIN] epoch=98, iter=36260/80000, loss=0.1830, lr=0.005808, batch_cost=1.3514, reader_cost=0.0024 | ETA 16:25:10 2020-12-15 21:07:42 [INFO] [TRAIN] epoch=98, iter=36270/80000, loss=0.1810, lr=0.005807, batch_cost=1.2983, reader_cost=0.0014 | ETA 15:46:15 2020-12-15 21:07:55 [INFO] [TRAIN] epoch=98, iter=36280/80000, loss=0.1483, lr=0.005806, batch_cost=1.2899, reader_cost=0.0026 | ETA 15:39:54 2020-12-15 21:08:07 [INFO] [TRAIN] epoch=98, iter=36290/80000, loss=0.1480, lr=0.005804, batch_cost=1.2418, reader_cost=0.0001 | ETA 15:04:37 2020-12-15 21:08:16 [INFO] [TRAIN] epoch=98, iter=36300/80000, loss=0.1509, lr=0.005803, batch_cost=0.8178, reader_cost=0.0001 | ETA 09:55:38 2020-12-15 21:08:26 [INFO] [TRAIN] epoch=98, iter=36310/80000, loss=0.1559, lr=0.005802, batch_cost=1.0814, reader_cost=0.0001 | ETA 13:07:28 2020-12-15 21:08:39 [INFO] [TRAIN] epoch=98, iter=36320/80000, loss=0.1812, lr=0.005801, batch_cost=1.2593, reader_cost=0.0032 | ETA 15:16:45 2020-12-15 21:08:52 [INFO] [TRAIN] epoch=98, iter=36330/80000, loss=0.3269, lr=0.005800, batch_cost=1.2672, reader_cost=0.0005 | ETA 15:22:17 2020-12-15 21:09:03 [INFO] [TRAIN] epoch=98, iter=36340/80000, loss=0.2293, lr=0.005798, batch_cost=1.1704, reader_cost=0.0036 | ETA 14:11:39 2020-12-15 21:09:16 [INFO] [TRAIN] epoch=98, iter=36350/80000, loss=0.2281, lr=0.005797, batch_cost=1.2975, reader_cost=0.0026 | ETA 15:43:56 2020-12-15 21:09:30 [INFO] [TRAIN] epoch=98, iter=36360/80000, loss=0.2244, lr=0.005796, batch_cost=1.3239, reader_cost=0.0005 | ETA 16:02:55 2020-12-15 21:09:41 [INFO] [TRAIN] epoch=98, iter=36370/80000, loss=0.1860, lr=0.005795, batch_cost=1.1569, reader_cost=0.0004 | ETA 14:01:16 2020-12-15 21:09:49 [INFO] [TRAIN] epoch=98, iter=36380/80000, loss=0.1970, lr=0.005794, batch_cost=0.8082, reader_cost=0.0001 | ETA 09:47:32 2020-12-15 21:09:57 [INFO] [TRAIN] epoch=98, iter=36390/80000, loss=0.1866, lr=0.005792, batch_cost=0.8043, reader_cost=0.0001 | ETA 09:44:35 2020-12-15 21:10:05 [INFO] [TRAIN] epoch=98, iter=36400/80000, loss=0.1578, lr=0.005791, batch_cost=0.8102, reader_cost=0.0001 | ETA 09:48:43 2020-12-15 21:10:13 [INFO] [TRAIN] epoch=98, iter=36410/80000, loss=0.2119, lr=0.005790, batch_cost=0.7942, reader_cost=0.0001 | ETA 09:36:58 2020-12-15 21:10:23 [INFO] [TRAIN] epoch=98, iter=36420/80000, loss=0.1606, lr=0.005789, batch_cost=1.0097, reader_cost=0.0001 | ETA 12:13:20 2020-12-15 21:10:37 [INFO] [TRAIN] epoch=98, iter=36430/80000, loss=0.1459, lr=0.005788, batch_cost=1.3275, reader_cost=0.0001 | ETA 16:03:57 2020-12-15 21:10:48 [INFO] [TRAIN] epoch=98, iter=36440/80000, loss=0.2498, lr=0.005786, batch_cost=1.1429, reader_cost=0.0017 | ETA 13:49:46 2020-12-15 21:11:00 [INFO] [TRAIN] epoch=98, iter=36450/80000, loss=0.1553, lr=0.005785, batch_cost=1.1960, reader_cost=0.0034 | ETA 14:28:06 2020-12-15 21:11:12 [INFO] [TRAIN] epoch=99, iter=36460/80000, loss=0.1683, lr=0.005784, batch_cost=1.1868, reader_cost=0.0695 | ETA 14:21:14 2020-12-15 21:11:24 [INFO] [TRAIN] epoch=99, iter=36470/80000, loss=0.1843, lr=0.005783, batch_cost=1.1929, reader_cost=0.0004 | ETA 14:25:24 2020-12-15 21:11:37 [INFO] [TRAIN] epoch=99, iter=36480/80000, loss=0.1585, lr=0.005782, batch_cost=1.3130, reader_cost=0.0027 | ETA 15:52:22 2020-12-15 21:11:49 [INFO] [TRAIN] epoch=99, iter=36490/80000, loss=0.1633, lr=0.005780, batch_cost=1.2036, reader_cost=0.0009 | ETA 14:32:49 2020-12-15 21:12:01 [INFO] [TRAIN] epoch=99, iter=36500/80000, loss=0.1549, lr=0.005779, batch_cost=1.1842, reader_cost=0.0015 | ETA 14:18:34 2020-12-15 21:12:13 [INFO] [TRAIN] epoch=99, iter=36510/80000, loss=0.1989, lr=0.005778, batch_cost=1.2403, reader_cost=0.0001 | ETA 14:59:00 2020-12-15 21:12:25 [INFO] [TRAIN] epoch=99, iter=36520/80000, loss=0.1173, lr=0.005777, batch_cost=1.1929, reader_cost=0.0001 | ETA 14:24:28 2020-12-15 21:12:38 [INFO] [TRAIN] epoch=99, iter=36530/80000, loss=0.1587, lr=0.005776, batch_cost=1.2459, reader_cost=0.0001 | ETA 15:02:39 2020-12-15 21:12:51 [INFO] [TRAIN] epoch=99, iter=36540/80000, loss=0.1874, lr=0.005774, batch_cost=1.3300, reader_cost=0.0001 | ETA 16:03:23 2020-12-15 21:13:04 [INFO] [TRAIN] epoch=99, iter=36550/80000, loss=0.3055, lr=0.005773, batch_cost=1.2813, reader_cost=0.0032 | ETA 15:27:50 2020-12-15 21:13:14 [INFO] [TRAIN] epoch=99, iter=36560/80000, loss=0.1535, lr=0.005772, batch_cost=0.9779, reader_cost=0.0008 | ETA 11:47:59 2020-12-15 21:13:22 [INFO] [TRAIN] epoch=99, iter=36570/80000, loss=0.2126, lr=0.005771, batch_cost=0.8287, reader_cost=0.0001 | ETA 09:59:52 2020-12-15 21:13:32 [INFO] [TRAIN] epoch=99, iter=36580/80000, loss=0.1634, lr=0.005770, batch_cost=1.0584, reader_cost=0.0001 | ETA 12:45:55 2020-12-15 21:13:45 [INFO] [TRAIN] epoch=99, iter=36590/80000, loss=0.1634, lr=0.005768, batch_cost=1.2529, reader_cost=0.0041 | ETA 15:06:26 2020-12-15 21:13:57 [INFO] [TRAIN] epoch=99, iter=36600/80000, loss=0.1761, lr=0.005767, batch_cost=1.2434, reader_cost=0.0003 | ETA 14:59:22 2020-12-15 21:14:10 [INFO] [TRAIN] epoch=99, iter=36610/80000, loss=0.1628, lr=0.005766, batch_cost=1.2289, reader_cost=0.0001 | ETA 14:48:42 2020-12-15 21:14:23 [INFO] [TRAIN] epoch=99, iter=36620/80000, loss=0.2230, lr=0.005765, batch_cost=1.2847, reader_cost=0.0001 | ETA 15:28:52 2020-12-15 21:14:34 [INFO] [TRAIN] epoch=99, iter=36630/80000, loss=0.1539, lr=0.005764, batch_cost=1.1859, reader_cost=0.0015 | ETA 14:17:11 2020-12-15 21:14:47 [INFO] [TRAIN] epoch=99, iter=36640/80000, loss=0.1783, lr=0.005762, batch_cost=1.2877, reader_cost=0.0001 | ETA 15:30:34 2020-12-15 21:15:00 [INFO] [TRAIN] epoch=99, iter=36650/80000, loss=0.1608, lr=0.005761, batch_cost=1.2811, reader_cost=0.0006 | ETA 15:25:37 2020-12-15 21:15:13 [INFO] [TRAIN] epoch=99, iter=36660/80000, loss=0.2111, lr=0.005760, batch_cost=1.2479, reader_cost=0.0005 | ETA 15:01:24 2020-12-15 21:15:24 [INFO] [TRAIN] epoch=99, iter=36670/80000, loss=0.1421, lr=0.005759, batch_cost=1.1535, reader_cost=0.0001 | ETA 13:53:02 2020-12-15 21:15:36 [INFO] [TRAIN] epoch=99, iter=36680/80000, loss=0.1585, lr=0.005758, batch_cost=1.1743, reader_cost=0.0006 | ETA 14:07:51 2020-12-15 21:15:47 [INFO] [TRAIN] epoch=99, iter=36690/80000, loss=0.2438, lr=0.005756, batch_cost=1.1466, reader_cost=0.0002 | ETA 13:47:41 2020-12-15 21:15:59 [INFO] [TRAIN] epoch=99, iter=36700/80000, loss=0.1819, lr=0.005755, batch_cost=1.2102, reader_cost=0.0005 | ETA 14:33:19 2020-12-15 21:16:11 [INFO] [TRAIN] epoch=99, iter=36710/80000, loss=0.1389, lr=0.005754, batch_cost=1.1616, reader_cost=0.0014 | ETA 13:58:05 2020-12-15 21:16:23 [INFO] [TRAIN] epoch=99, iter=36720/80000, loss=0.1933, lr=0.005753, batch_cost=1.1818, reader_cost=0.0022 | ETA 14:12:27 2020-12-15 21:16:34 [INFO] [TRAIN] epoch=99, iter=36730/80000, loss=0.1495, lr=0.005752, batch_cost=1.1395, reader_cost=0.0029 | ETA 13:41:47 2020-12-15 21:16:46 [INFO] [TRAIN] epoch=99, iter=36740/80000, loss=0.1574, lr=0.005751, batch_cost=1.2020, reader_cost=0.0047 | ETA 14:26:38 2020-12-15 21:16:59 [INFO] [TRAIN] epoch=99, iter=36750/80000, loss=0.1842, lr=0.005749, batch_cost=1.2297, reader_cost=0.0007 | ETA 14:46:25 2020-12-15 21:17:11 [INFO] [TRAIN] epoch=99, iter=36760/80000, loss=0.2109, lr=0.005748, batch_cost=1.2877, reader_cost=0.0026 | ETA 15:27:59 2020-12-15 21:17:25 [INFO] [TRAIN] epoch=99, iter=36770/80000, loss=0.2181, lr=0.005747, batch_cost=1.3288, reader_cost=0.0019 | ETA 15:57:23 2020-12-15 21:17:36 [INFO] [TRAIN] epoch=99, iter=36780/80000, loss=0.1624, lr=0.005746, batch_cost=1.0915, reader_cost=0.0001 | ETA 13:06:13 2020-12-15 21:17:46 [INFO] [TRAIN] epoch=99, iter=36790/80000, loss=0.1250, lr=0.005745, batch_cost=1.0802, reader_cost=0.0001 | ETA 12:57:56 2020-12-15 21:17:55 [INFO] [TRAIN] epoch=99, iter=36800/80000, loss=0.1619, lr=0.005743, batch_cost=0.8188, reader_cost=0.0001 | ETA 09:49:32 2020-12-15 21:18:05 [INFO] [TRAIN] epoch=99, iter=36810/80000, loss=0.2235, lr=0.005742, batch_cost=1.0089, reader_cost=0.0010 | ETA 12:06:13 2020-12-15 21:18:17 [INFO] [TRAIN] epoch=99, iter=36820/80000, loss=0.1577, lr=0.005741, batch_cost=1.2736, reader_cost=0.0014 | ETA 15:16:34 2020-12-15 21:18:29 [INFO] [TRAIN] epoch=100, iter=36830/80000, loss=0.1688, lr=0.005740, batch_cost=1.1641, reader_cost=0.0657 | ETA 13:57:33 2020-12-15 21:18:41 [INFO] [TRAIN] epoch=100, iter=36840/80000, loss=0.1596, lr=0.005739, batch_cost=1.2232, reader_cost=0.0001 | ETA 14:39:54 2020-12-15 21:18:55 [INFO] [TRAIN] epoch=100, iter=36850/80000, loss=0.2214, lr=0.005737, batch_cost=1.3466, reader_cost=0.0013 | ETA 16:08:24 2020-12-15 21:19:07 [INFO] [TRAIN] epoch=100, iter=36860/80000, loss=0.1481, lr=0.005736, batch_cost=1.2438, reader_cost=0.0001 | ETA 14:54:19 2020-12-15 21:19:20 [INFO] [TRAIN] epoch=100, iter=36870/80000, loss=0.1837, lr=0.005735, batch_cost=1.2484, reader_cost=0.0001 | ETA 14:57:21 2020-12-15 21:19:32 [INFO] [TRAIN] epoch=100, iter=36880/80000, loss=0.1669, lr=0.005734, batch_cost=1.2751, reader_cost=0.0001 | ETA 15:16:20 2020-12-15 21:19:45 [INFO] [TRAIN] epoch=100, iter=36890/80000, loss=0.1731, lr=0.005733, batch_cost=1.2619, reader_cost=0.0001 | ETA 15:06:42 2020-12-15 21:19:58 [INFO] [TRAIN] epoch=100, iter=36900/80000, loss=0.2488, lr=0.005731, batch_cost=1.3199, reader_cost=0.0064 | ETA 15:48:07 2020-12-15 21:20:11 [INFO] [TRAIN] epoch=100, iter=36910/80000, loss=0.1619, lr=0.005730, batch_cost=1.2823, reader_cost=0.0020 | ETA 15:20:56 2020-12-15 21:20:24 [INFO] [TRAIN] epoch=100, iter=36920/80000, loss=0.1697, lr=0.005729, batch_cost=1.2580, reader_cost=0.0021 | ETA 15:03:13 2020-12-15 21:20:35 [INFO] [TRAIN] epoch=100, iter=36930/80000, loss=0.1635, lr=0.005728, batch_cost=1.1598, reader_cost=0.0006 | ETA 13:52:31 2020-12-15 21:20:47 [INFO] [TRAIN] epoch=100, iter=36940/80000, loss=0.1848, lr=0.005727, batch_cost=1.2129, reader_cost=0.0014 | ETA 14:30:26 2020-12-15 21:21:01 [INFO] [TRAIN] epoch=100, iter=36950/80000, loss=0.1551, lr=0.005725, batch_cost=1.3279, reader_cost=0.0014 | ETA 15:52:44 2020-12-15 21:21:13 [INFO] [TRAIN] epoch=100, iter=36960/80000, loss=0.1690, lr=0.005724, batch_cost=1.2696, reader_cost=0.0005 | ETA 15:10:44 2020-12-15 21:21:26 [INFO] [TRAIN] epoch=100, iter=36970/80000, loss=0.1526, lr=0.005723, batch_cost=1.2195, reader_cost=0.0022 | ETA 14:34:35 2020-12-15 21:21:39 [INFO] [TRAIN] epoch=100, iter=36980/80000, loss=0.1469, lr=0.005722, batch_cost=1.3785, reader_cost=0.0029 | ETA 16:28:22 2020-12-15 21:21:52 [INFO] [TRAIN] epoch=100, iter=36990/80000, loss=0.1443, lr=0.005721, batch_cost=1.2526, reader_cost=0.0003 | ETA 14:57:54 2020-12-15 21:22:06 [INFO] [TRAIN] epoch=100, iter=37000/80000, loss=0.1945, lr=0.005719, batch_cost=1.4076, reader_cost=0.0015 | ETA 16:48:47 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 21:22:06 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 21:22:56 [INFO] [EVAL] #Images=500 mIoU=0.7824 Acc=0.9589 Kappa=0.9468 2020-12-15 21:22:56 [INFO] [EVAL] Class IoU: [0.9798 0.8426 0.9236 0.5741 0.623 0.5955 0.6969 0.768 0.921 0.64 0.9452 0.8101 0.6228 0.9485 0.8403 0.8841 0.8257 0.6579 0.7657] 2020-12-15 21:22:56 [INFO] [EVAL] Class Acc: [0.9936 0.8973 0.9631 0.8409 0.788 0.7212 0.8141 0.9024 0.9483 0.8561 0.9696 0.8749 0.7727 0.9719 0.9327 0.936 0.9574 0.8262 0.8513] 2020-12-15 21:23:07 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 21:23:19 [INFO] [TRAIN] epoch=100, iter=37010/80000, loss=0.1537, lr=0.005718, batch_cost=1.2424, reader_cost=0.0002 | ETA 14:50:09 2020-12-15 21:23:32 [INFO] [TRAIN] epoch=100, iter=37020/80000, loss=0.1656, lr=0.005717, batch_cost=1.2591, reader_cost=0.0001 | ETA 15:01:57 2020-12-15 21:23:44 [INFO] [TRAIN] epoch=100, iter=37030/80000, loss=0.1327, lr=0.005716, batch_cost=1.2395, reader_cost=0.0024 | ETA 14:47:40 2020-12-15 21:23:57 [INFO] [TRAIN] epoch=100, iter=37040/80000, loss=0.2837, lr=0.005715, batch_cost=1.2612, reader_cost=0.0031 | ETA 15:02:59 2020-12-15 21:24:10 [INFO] [TRAIN] epoch=100, iter=37050/80000, loss=0.1714, lr=0.005713, batch_cost=1.2519, reader_cost=0.0004 | ETA 14:56:10 2020-12-15 21:24:23 [INFO] [TRAIN] epoch=100, iter=37060/80000, loss=0.1066, lr=0.005712, batch_cost=1.3096, reader_cost=0.0001 | ETA 15:37:13 2020-12-15 21:24:35 [INFO] [TRAIN] epoch=100, iter=37070/80000, loss=0.1455, lr=0.005711, batch_cost=1.1898, reader_cost=0.0029 | ETA 14:11:17 2020-12-15 21:24:46 [INFO] [TRAIN] epoch=100, iter=37080/80000, loss=0.1753, lr=0.005710, batch_cost=1.1689, reader_cost=0.0001 | ETA 13:56:08 2020-12-15 21:24:59 [INFO] [TRAIN] epoch=100, iter=37090/80000, loss=0.1674, lr=0.005709, batch_cost=1.2569, reader_cost=0.0001 | ETA 14:58:52 2020-12-15 21:25:11 [INFO] [TRAIN] epoch=100, iter=37100/80000, loss=0.1535, lr=0.005707, batch_cost=1.1874, reader_cost=0.0010 | ETA 14:09:00 2020-12-15 21:25:22 [INFO] [TRAIN] epoch=100, iter=37110/80000, loss=0.1310, lr=0.005706, batch_cost=1.1637, reader_cost=0.0021 | ETA 13:51:49 2020-12-15 21:25:34 [INFO] [TRAIN] epoch=100, iter=37120/80000, loss=0.1403, lr=0.005705, batch_cost=1.2070, reader_cost=0.0014 | ETA 14:22:37 2020-12-15 21:25:48 [INFO] [TRAIN] epoch=100, iter=37130/80000, loss=0.1558, lr=0.005704, batch_cost=1.3159, reader_cost=0.0005 | ETA 15:40:14 2020-12-15 21:26:00 [INFO] [TRAIN] epoch=100, iter=37140/80000, loss=0.1773, lr=0.005703, batch_cost=1.2192, reader_cost=0.0012 | ETA 14:30:55 2020-12-15 21:26:12 [INFO] [TRAIN] epoch=100, iter=37150/80000, loss=0.1950, lr=0.005701, batch_cost=1.2006, reader_cost=0.0011 | ETA 14:17:25 2020-12-15 21:26:23 [INFO] [TRAIN] epoch=100, iter=37160/80000, loss=0.2131, lr=0.005700, batch_cost=1.1333, reader_cost=0.0056 | ETA 13:29:11 2020-12-15 21:26:34 [INFO] [TRAIN] epoch=100, iter=37170/80000, loss=0.1570, lr=0.005699, batch_cost=1.1407, reader_cost=0.0001 | ETA 13:34:14 2020-12-15 21:26:46 [INFO] [TRAIN] epoch=100, iter=37180/80000, loss=0.1075, lr=0.005698, batch_cost=1.1376, reader_cost=0.0001 | ETA 13:31:51 2020-12-15 21:26:54 [INFO] [TRAIN] epoch=100, iter=37190/80000, loss=0.2562, lr=0.005697, batch_cost=0.7968, reader_cost=0.0001 | ETA 09:28:31 2020-12-15 21:27:02 [INFO] [TRAIN] epoch=100, iter=37200/80000, loss=0.1772, lr=0.005695, batch_cost=0.8290, reader_cost=0.0001 | ETA 09:51:20 2020-12-15 21:27:15 [INFO] [TRAIN] epoch=101, iter=37210/80000, loss=0.1908, lr=0.005694, batch_cost=1.2955, reader_cost=0.0666 | ETA 15:23:54 2020-12-15 21:27:27 [INFO] [TRAIN] epoch=101, iter=37220/80000, loss=0.1514, lr=0.005693, batch_cost=1.1675, reader_cost=0.0001 | ETA 13:52:27 2020-12-15 21:27:38 [INFO] [TRAIN] epoch=101, iter=37230/80000, loss=0.1790, lr=0.005692, batch_cost=1.1447, reader_cost=0.0008 | ETA 13:35:58 2020-12-15 21:27:50 [INFO] [TRAIN] epoch=101, iter=37240/80000, loss=0.1631, lr=0.005691, batch_cost=1.2058, reader_cost=0.0020 | ETA 14:19:22 2020-12-15 21:28:04 [INFO] [TRAIN] epoch=101, iter=37250/80000, loss=0.1716, lr=0.005689, batch_cost=1.3480, reader_cost=0.0025 | ETA 16:00:27 2020-12-15 21:28:15 [INFO] [TRAIN] epoch=101, iter=37260/80000, loss=0.1533, lr=0.005688, batch_cost=1.1483, reader_cost=0.0004 | ETA 13:37:58 2020-12-15 21:28:27 [INFO] [TRAIN] epoch=101, iter=37270/80000, loss=0.2137, lr=0.005687, batch_cost=1.1344, reader_cost=0.0014 | ETA 13:27:51 2020-12-15 21:28:38 [INFO] [TRAIN] epoch=101, iter=37280/80000, loss=0.3175, lr=0.005686, batch_cost=1.1358, reader_cost=0.0010 | ETA 13:28:39 2020-12-15 21:28:50 [INFO] [TRAIN] epoch=101, iter=37290/80000, loss=0.1583, lr=0.005685, batch_cost=1.1739, reader_cost=0.0001 | ETA 13:55:37 2020-12-15 21:29:02 [INFO] [TRAIN] epoch=101, iter=37300/80000, loss=0.1660, lr=0.005683, batch_cost=1.2840, reader_cost=0.0001 | ETA 15:13:47 2020-12-15 21:29:14 [INFO] [TRAIN] epoch=101, iter=37310/80000, loss=0.1988, lr=0.005682, batch_cost=1.1135, reader_cost=0.0001 | ETA 13:12:14 2020-12-15 21:29:26 [INFO] [TRAIN] epoch=101, iter=37320/80000, loss=0.1344, lr=0.005681, batch_cost=1.2218, reader_cost=0.0002 | ETA 14:29:07 2020-12-15 21:29:37 [INFO] [TRAIN] epoch=101, iter=37330/80000, loss=0.1196, lr=0.005680, batch_cost=1.1359, reader_cost=0.0007 | ETA 13:27:49 2020-12-15 21:29:49 [INFO] [TRAIN] epoch=101, iter=37340/80000, loss=0.1929, lr=0.005679, batch_cost=1.1674, reader_cost=0.0001 | ETA 13:50:02 2020-12-15 21:30:01 [INFO] [TRAIN] epoch=101, iter=37350/80000, loss=0.1823, lr=0.005677, batch_cost=1.2170, reader_cost=0.0014 | ETA 14:25:03 2020-12-15 21:30:14 [INFO] [TRAIN] epoch=101, iter=37360/80000, loss=0.1806, lr=0.005676, batch_cost=1.2802, reader_cost=0.0001 | ETA 15:09:46 2020-12-15 21:30:26 [INFO] [TRAIN] epoch=101, iter=37370/80000, loss=0.1563, lr=0.005675, batch_cost=1.2251, reader_cost=0.0018 | ETA 14:30:25 2020-12-15 21:30:38 [INFO] [TRAIN] epoch=101, iter=37380/80000, loss=0.1645, lr=0.005674, batch_cost=1.1913, reader_cost=0.0020 | ETA 14:06:12 2020-12-15 21:30:50 [INFO] [TRAIN] epoch=101, iter=37390/80000, loss=0.1708, lr=0.005673, batch_cost=1.1941, reader_cost=0.0001 | ETA 14:07:59 2020-12-15 21:31:02 [INFO] [TRAIN] epoch=101, iter=37400/80000, loss=0.2548, lr=0.005671, batch_cost=1.1610, reader_cost=0.0004 | ETA 13:44:17 2020-12-15 21:31:14 [INFO] [TRAIN] epoch=101, iter=37410/80000, loss=0.1720, lr=0.005670, batch_cost=1.2200, reader_cost=0.0033 | ETA 14:25:57 2020-12-15 21:31:23 [INFO] [TRAIN] epoch=101, iter=37420/80000, loss=0.2623, lr=0.005669, batch_cost=0.9543, reader_cost=0.0001 | ETA 11:17:13 2020-12-15 21:31:32 [INFO] [TRAIN] epoch=101, iter=37430/80000, loss=0.1540, lr=0.005668, batch_cost=0.8435, reader_cost=0.0001 | ETA 09:58:25 2020-12-15 21:31:42 [INFO] [TRAIN] epoch=101, iter=37440/80000, loss=0.1498, lr=0.005667, batch_cost=1.0446, reader_cost=0.0004 | ETA 12:21:00 2020-12-15 21:31:55 [INFO] [TRAIN] epoch=101, iter=37450/80000, loss=0.1584, lr=0.005665, batch_cost=1.2610, reader_cost=0.0017 | ETA 14:54:16 2020-12-15 21:32:06 [INFO] [TRAIN] epoch=101, iter=37460/80000, loss=0.2149, lr=0.005664, batch_cost=1.1534, reader_cost=0.0001 | ETA 13:37:47 2020-12-15 21:32:19 [INFO] [TRAIN] epoch=101, iter=37470/80000, loss=0.2003, lr=0.005663, batch_cost=1.2279, reader_cost=0.0002 | ETA 14:30:23 2020-12-15 21:32:31 [INFO] [TRAIN] epoch=101, iter=37480/80000, loss=0.2371, lr=0.005662, batch_cost=1.2446, reader_cost=0.0001 | ETA 14:41:59 2020-12-15 21:32:43 [INFO] [TRAIN] epoch=101, iter=37490/80000, loss=0.1983, lr=0.005661, batch_cost=1.2039, reader_cost=0.0001 | ETA 14:12:58 2020-12-15 21:32:56 [INFO] [TRAIN] epoch=101, iter=37500/80000, loss=0.1626, lr=0.005660, batch_cost=1.2727, reader_cost=0.0001 | ETA 15:01:27 2020-12-15 21:33:08 [INFO] [TRAIN] epoch=101, iter=37510/80000, loss=0.2035, lr=0.005658, batch_cost=1.2674, reader_cost=0.0001 | ETA 14:57:33 2020-12-15 21:33:21 [INFO] [TRAIN] epoch=101, iter=37520/80000, loss=0.1950, lr=0.005657, batch_cost=1.2046, reader_cost=0.0004 | ETA 14:12:52 2020-12-15 21:33:33 [INFO] [TRAIN] epoch=101, iter=37530/80000, loss=0.1433, lr=0.005656, batch_cost=1.2492, reader_cost=0.0001 | ETA 14:44:12 2020-12-15 21:33:45 [INFO] [TRAIN] epoch=101, iter=37540/80000, loss=0.2023, lr=0.005655, batch_cost=1.1879, reader_cost=0.0021 | ETA 14:00:36 2020-12-15 21:33:58 [INFO] [TRAIN] epoch=101, iter=37550/80000, loss=0.1854, lr=0.005654, batch_cost=1.2932, reader_cost=0.0001 | ETA 15:14:57 2020-12-15 21:34:11 [INFO] [TRAIN] epoch=101, iter=37560/80000, loss=0.2143, lr=0.005652, batch_cost=1.2780, reader_cost=0.0052 | ETA 15:03:59 2020-12-15 21:34:22 [INFO] [TRAIN] epoch=101, iter=37570/80000, loss=0.1620, lr=0.005651, batch_cost=1.1331, reader_cost=0.0001 | ETA 13:21:19 2020-12-15 21:34:32 [INFO] [TRAIN] epoch=102, iter=37580/80000, loss=0.1731, lr=0.005650, batch_cost=1.0482, reader_cost=0.0655 | ETA 12:21:05 2020-12-15 21:34:41 [INFO] [TRAIN] epoch=102, iter=37590/80000, loss=0.2328, lr=0.005649, batch_cost=0.8112, reader_cost=0.0001 | ETA 09:33:24 2020-12-15 21:34:49 [INFO] [TRAIN] epoch=102, iter=37600/80000, loss=0.1868, lr=0.005648, batch_cost=0.8186, reader_cost=0.0001 | ETA 09:38:28 2020-12-15 21:34:57 [INFO] [TRAIN] epoch=102, iter=37610/80000, loss=0.2196, lr=0.005646, batch_cost=0.8254, reader_cost=0.0001 | ETA 09:43:08 2020-12-15 21:35:05 [INFO] [TRAIN] epoch=102, iter=37620/80000, loss=0.3484, lr=0.005645, batch_cost=0.8332, reader_cost=0.0001 | ETA 09:48:32 2020-12-15 21:35:17 [INFO] [TRAIN] epoch=102, iter=37630/80000, loss=0.1854, lr=0.005644, batch_cost=1.2078, reader_cost=0.0022 | ETA 14:12:54 2020-12-15 21:35:30 [INFO] [TRAIN] epoch=102, iter=37640/80000, loss=0.1752, lr=0.005643, batch_cost=1.2355, reader_cost=0.0001 | ETA 14:32:16 2020-12-15 21:35:42 [INFO] [TRAIN] epoch=102, iter=37650/80000, loss=0.1926, lr=0.005642, batch_cost=1.2376, reader_cost=0.0002 | ETA 14:33:33 2020-12-15 21:35:54 [INFO] [TRAIN] epoch=102, iter=37660/80000, loss=0.1590, lr=0.005640, batch_cost=1.2103, reader_cost=0.0003 | ETA 14:14:06 2020-12-15 21:36:07 [INFO] [TRAIN] epoch=102, iter=37670/80000, loss=0.1899, lr=0.005639, batch_cost=1.3216, reader_cost=0.0026 | ETA 15:32:22 2020-12-15 21:36:20 [INFO] [TRAIN] epoch=102, iter=37680/80000, loss=0.1709, lr=0.005638, batch_cost=1.2131, reader_cost=0.0036 | ETA 14:15:37 2020-12-15 21:36:28 [INFO] [TRAIN] epoch=102, iter=37690/80000, loss=0.1576, lr=0.005637, batch_cost=0.8138, reader_cost=0.0001 | ETA 09:33:49 2020-12-15 21:36:37 [INFO] [TRAIN] epoch=102, iter=37700/80000, loss=0.1300, lr=0.005636, batch_cost=0.9752, reader_cost=0.0001 | ETA 11:27:29 2020-12-15 21:36:49 [INFO] [TRAIN] epoch=102, iter=37710/80000, loss=0.1491, lr=0.005634, batch_cost=1.1118, reader_cost=0.0001 | ETA 13:03:39 2020-12-15 21:37:01 [INFO] [TRAIN] epoch=102, iter=37720/80000, loss=0.1698, lr=0.005633, batch_cost=1.1958, reader_cost=0.0025 | ETA 14:02:39 2020-12-15 21:37:13 [INFO] [TRAIN] epoch=102, iter=37730/80000, loss=0.2033, lr=0.005632, batch_cost=1.2726, reader_cost=0.0001 | ETA 14:56:34 2020-12-15 21:37:26 [INFO] [TRAIN] epoch=102, iter=37740/80000, loss=0.1458, lr=0.005631, batch_cost=1.2744, reader_cost=0.0006 | ETA 14:57:34 2020-12-15 21:37:38 [INFO] [TRAIN] epoch=102, iter=37750/80000, loss=0.1560, lr=0.005630, batch_cost=1.1781, reader_cost=0.0004 | ETA 13:49:33 2020-12-15 21:37:50 [INFO] [TRAIN] epoch=102, iter=37760/80000, loss=0.1088, lr=0.005628, batch_cost=1.2122, reader_cost=0.0001 | ETA 14:13:24 2020-12-15 21:38:02 [INFO] [TRAIN] epoch=102, iter=37770/80000, loss=0.1812, lr=0.005627, batch_cost=1.1603, reader_cost=0.0003 | ETA 13:36:39 2020-12-15 21:38:14 [INFO] [TRAIN] epoch=102, iter=37780/80000, loss=0.2267, lr=0.005626, batch_cost=1.2083, reader_cost=0.0026 | ETA 14:10:14 2020-12-15 21:38:26 [INFO] [TRAIN] epoch=102, iter=37790/80000, loss=0.2166, lr=0.005625, batch_cost=1.2740, reader_cost=0.0001 | ETA 14:56:16 2020-12-15 21:38:38 [INFO] [TRAIN] epoch=102, iter=37800/80000, loss=0.1951, lr=0.005624, batch_cost=1.1568, reader_cost=0.0042 | ETA 13:33:35 2020-12-15 21:38:50 [INFO] [TRAIN] epoch=102, iter=37810/80000, loss=0.1188, lr=0.005622, batch_cost=1.2000, reader_cost=0.0001 | ETA 14:03:49 2020-12-15 21:39:02 [INFO] [TRAIN] epoch=102, iter=37820/80000, loss=0.1962, lr=0.005621, batch_cost=1.2075, reader_cost=0.0001 | ETA 14:08:52 2020-12-15 21:39:13 [INFO] [TRAIN] epoch=102, iter=37830/80000, loss=0.1565, lr=0.005620, batch_cost=1.1314, reader_cost=0.0005 | ETA 13:15:11 2020-12-15 21:39:25 [INFO] [TRAIN] epoch=102, iter=37840/80000, loss=0.1853, lr=0.005619, batch_cost=1.1549, reader_cost=0.0008 | ETA 13:31:28 2020-12-15 21:39:36 [INFO] [TRAIN] epoch=102, iter=37850/80000, loss=0.1513, lr=0.005618, batch_cost=1.1541, reader_cost=0.0001 | ETA 13:30:44 2020-12-15 21:39:48 [INFO] [TRAIN] epoch=102, iter=37860/80000, loss=0.1821, lr=0.005616, batch_cost=1.2058, reader_cost=0.0001 | ETA 14:06:51 2020-12-15 21:40:00 [INFO] [TRAIN] epoch=102, iter=37870/80000, loss=0.1594, lr=0.005615, batch_cost=1.1413, reader_cost=0.0001 | ETA 13:21:21 2020-12-15 21:40:12 [INFO] [TRAIN] epoch=102, iter=37880/80000, loss=0.1211, lr=0.005614, batch_cost=1.2507, reader_cost=0.0001 | ETA 14:37:57 2020-12-15 21:40:25 [INFO] [TRAIN] epoch=102, iter=37890/80000, loss=0.1519, lr=0.005613, batch_cost=1.2104, reader_cost=0.0014 | ETA 14:09:29 2020-12-15 21:40:38 [INFO] [TRAIN] epoch=102, iter=37900/80000, loss=0.1521, lr=0.005612, batch_cost=1.3319, reader_cost=0.0001 | ETA 15:34:33 2020-12-15 21:40:51 [INFO] [TRAIN] epoch=102, iter=37910/80000, loss=0.1722, lr=0.005610, batch_cost=1.2980, reader_cost=0.0002 | ETA 15:10:33 2020-12-15 21:40:59 [INFO] [TRAIN] epoch=102, iter=37920/80000, loss=0.1050, lr=0.005609, batch_cost=0.8018, reader_cost=0.0025 | ETA 09:22:21 2020-12-15 21:41:09 [INFO] [TRAIN] epoch=102, iter=37930/80000, loss=0.1939, lr=0.005608, batch_cost=0.9743, reader_cost=0.0001 | ETA 11:23:07 2020-12-15 21:41:20 [INFO] [TRAIN] epoch=102, iter=37940/80000, loss=0.1894, lr=0.005607, batch_cost=1.1081, reader_cost=0.0033 | ETA 12:56:48 2020-12-15 21:41:32 [INFO] [TRAIN] epoch=103, iter=37950/80000, loss=0.1795, lr=0.005606, batch_cost=1.2009, reader_cost=0.0612 | ETA 14:01:36 2020-12-15 21:41:44 [INFO] [TRAIN] epoch=103, iter=37960/80000, loss=0.1663, lr=0.005604, batch_cost=1.2334, reader_cost=0.0041 | ETA 14:24:10 2020-12-15 21:41:56 [INFO] [TRAIN] epoch=103, iter=37970/80000, loss=0.1759, lr=0.005603, batch_cost=1.2162, reader_cost=0.0001 | ETA 14:11:56 2020-12-15 21:42:09 [INFO] [TRAIN] epoch=103, iter=37980/80000, loss=0.1574, lr=0.005602, batch_cost=1.2486, reader_cost=0.0001 | ETA 14:34:24 2020-12-15 21:42:21 [INFO] [TRAIN] epoch=103, iter=37990/80000, loss=0.1509, lr=0.005601, batch_cost=1.2396, reader_cost=0.0052 | ETA 14:27:55 2020-12-15 21:42:34 [INFO] [TRAIN] epoch=103, iter=38000/80000, loss=0.1454, lr=0.005600, batch_cost=1.2681, reader_cost=0.0001 | ETA 14:47:40 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 21:42:34 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 21:43:25 [INFO] [EVAL] #Images=500 mIoU=0.7781 Acc=0.9592 Kappa=0.9470 2020-12-15 21:43:25 [INFO] [EVAL] Class IoU: [0.9799 0.8359 0.9242 0.601 0.6258 0.5862 0.696 0.7774 0.9207 0.5981 0.9454 0.8109 0.6346 0.9493 0.8198 0.8897 0.8139 0.6064 0.7679] 2020-12-15 21:43:25 [INFO] [EVAL] Class Acc: [0.9911 0.9041 0.9557 0.8637 0.8102 0.8025 0.8168 0.8957 0.9459 0.9006 0.9726 0.8774 0.7523 0.9727 0.8957 0.9656 0.9634 0.8393 0.8633] 2020-12-15 21:43:31 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 21:43:43 [INFO] [TRAIN] epoch=103, iter=38010/80000, loss=0.1715, lr=0.005598, batch_cost=1.1614, reader_cost=0.0012 | ETA 13:32:47 2020-12-15 21:43:56 [INFO] [TRAIN] epoch=103, iter=38020/80000, loss=0.1541, lr=0.005597, batch_cost=1.2885, reader_cost=0.0007 | ETA 15:01:32 2020-12-15 21:44:08 [INFO] [TRAIN] epoch=103, iter=38030/80000, loss=0.1653, lr=0.005596, batch_cost=1.2780, reader_cost=0.0001 | ETA 14:53:56 2020-12-15 21:44:20 [INFO] [TRAIN] epoch=103, iter=38040/80000, loss=0.1875, lr=0.005595, batch_cost=1.1291, reader_cost=0.0009 | ETA 13:09:36 2020-12-15 21:44:32 [INFO] [TRAIN] epoch=103, iter=38050/80000, loss=0.3025, lr=0.005594, batch_cost=1.2128, reader_cost=0.0001 | ETA 14:07:57 2020-12-15 21:44:44 [INFO] [TRAIN] epoch=103, iter=38060/80000, loss=0.1543, lr=0.005592, batch_cost=1.1952, reader_cost=0.0001 | ETA 13:55:26 2020-12-15 21:44:55 [INFO] [TRAIN] epoch=103, iter=38070/80000, loss=0.1435, lr=0.005591, batch_cost=1.1634, reader_cost=0.0002 | ETA 13:33:03 2020-12-15 21:45:08 [INFO] [TRAIN] epoch=103, iter=38080/80000, loss=0.1918, lr=0.005590, batch_cost=1.2916, reader_cost=0.0014 | ETA 15:02:23 2020-12-15 21:45:21 [INFO] [TRAIN] epoch=103, iter=38090/80000, loss=0.1568, lr=0.005589, batch_cost=1.2311, reader_cost=0.0005 | ETA 14:19:54 2020-12-15 21:45:30 [INFO] [TRAIN] epoch=103, iter=38100/80000, loss=0.1487, lr=0.005588, batch_cost=0.8933, reader_cost=0.0001 | ETA 10:23:49 2020-12-15 21:45:39 [INFO] [TRAIN] epoch=103, iter=38110/80000, loss=0.2159, lr=0.005586, batch_cost=0.9450, reader_cost=0.0001 | ETA 10:59:46 2020-12-15 21:45:51 [INFO] [TRAIN] epoch=103, iter=38120/80000, loss=0.1806, lr=0.005585, batch_cost=1.2051, reader_cost=0.0001 | ETA 14:01:10 2020-12-15 21:46:03 [INFO] [TRAIN] epoch=103, iter=38130/80000, loss=0.1836, lr=0.005584, batch_cost=1.2385, reader_cost=0.0001 | ETA 14:24:16 2020-12-15 21:46:16 [INFO] [TRAIN] epoch=103, iter=38140/80000, loss=0.1241, lr=0.005583, batch_cost=1.2518, reader_cost=0.0001 | ETA 14:33:21 2020-12-15 21:46:29 [INFO] [TRAIN] epoch=103, iter=38150/80000, loss=0.1775, lr=0.005582, batch_cost=1.2534, reader_cost=0.0019 | ETA 14:34:13 2020-12-15 21:46:40 [INFO] [TRAIN] epoch=103, iter=38160/80000, loss=0.2185, lr=0.005580, batch_cost=1.1012, reader_cost=0.0025 | ETA 12:47:53 2020-12-15 21:46:52 [INFO] [TRAIN] epoch=103, iter=38170/80000, loss=0.1830, lr=0.005579, batch_cost=1.2275, reader_cost=0.0025 | ETA 14:15:45 2020-12-15 21:47:05 [INFO] [TRAIN] epoch=103, iter=38180/80000, loss=0.1808, lr=0.005578, batch_cost=1.2769, reader_cost=0.0003 | ETA 14:50:00 2020-12-15 21:47:18 [INFO] [TRAIN] epoch=103, iter=38190/80000, loss=0.1780, lr=0.005577, batch_cost=1.2932, reader_cost=0.0017 | ETA 15:01:08 2020-12-15 21:47:31 [INFO] [TRAIN] epoch=103, iter=38200/80000, loss=0.1531, lr=0.005576, batch_cost=1.3665, reader_cost=0.0006 | ETA 15:52:01 2020-12-15 21:47:44 [INFO] [TRAIN] epoch=103, iter=38210/80000, loss=0.2004, lr=0.005574, batch_cost=1.2331, reader_cost=0.0017 | ETA 14:18:50 2020-12-15 21:47:57 [INFO] [TRAIN] epoch=103, iter=38220/80000, loss=0.1625, lr=0.005573, batch_cost=1.3190, reader_cost=0.0001 | ETA 15:18:29 2020-12-15 21:48:10 [INFO] [TRAIN] epoch=103, iter=38230/80000, loss=0.1937, lr=0.005572, batch_cost=1.3430, reader_cost=0.0019 | ETA 15:34:57 2020-12-15 21:48:22 [INFO] [TRAIN] epoch=103, iter=38240/80000, loss=0.1973, lr=0.005571, batch_cost=1.2110, reader_cost=0.0006 | ETA 14:02:49 2020-12-15 21:48:34 [INFO] [TRAIN] epoch=103, iter=38250/80000, loss=0.2504, lr=0.005570, batch_cost=1.2050, reader_cost=0.0001 | ETA 13:58:26 2020-12-15 21:48:45 [INFO] [TRAIN] epoch=103, iter=38260/80000, loss=0.2022, lr=0.005568, batch_cost=1.0902, reader_cost=0.0001 | ETA 12:38:26 2020-12-15 21:48:58 [INFO] [TRAIN] epoch=103, iter=38270/80000, loss=0.1400, lr=0.005567, batch_cost=1.3199, reader_cost=0.0027 | ETA 15:18:00 2020-12-15 21:49:10 [INFO] [TRAIN] epoch=103, iter=38280/80000, loss=0.1688, lr=0.005566, batch_cost=1.1992, reader_cost=0.0041 | ETA 13:53:50 2020-12-15 21:49:23 [INFO] [TRAIN] epoch=103, iter=38290/80000, loss=0.1539, lr=0.005565, batch_cost=1.2838, reader_cost=0.0001 | ETA 14:52:27 2020-12-15 21:49:37 [INFO] [TRAIN] epoch=103, iter=38300/80000, loss=0.1791, lr=0.005564, batch_cost=1.3369, reader_cost=0.0019 | ETA 15:29:07 2020-12-15 21:49:49 [INFO] [TRAIN] epoch=103, iter=38310/80000, loss=0.1546, lr=0.005562, batch_cost=1.2536, reader_cost=0.0009 | ETA 14:31:01 2020-12-15 21:49:59 [INFO] [TRAIN] epoch=104, iter=38320/80000, loss=0.1497, lr=0.005561, batch_cost=0.9948, reader_cost=0.0554 | ETA 11:31:04 2020-12-15 21:50:08 [INFO] [TRAIN] epoch=104, iter=38330/80000, loss=0.2221, lr=0.005560, batch_cost=0.9063, reader_cost=0.0001 | ETA 10:29:24 2020-12-15 21:50:19 [INFO] [TRAIN] epoch=104, iter=38340/80000, loss=0.2645, lr=0.005559, batch_cost=1.0438, reader_cost=0.0010 | ETA 12:04:42 2020-12-15 21:50:30 [INFO] [TRAIN] epoch=104, iter=38350/80000, loss=0.1466, lr=0.005558, batch_cost=1.1859, reader_cost=0.0001 | ETA 13:43:12 2020-12-15 21:50:43 [INFO] [TRAIN] epoch=104, iter=38360/80000, loss=0.1789, lr=0.005556, batch_cost=1.2382, reader_cost=0.0002 | ETA 14:19:16 2020-12-15 21:50:55 [INFO] [TRAIN] epoch=104, iter=38370/80000, loss=0.2411, lr=0.005555, batch_cost=1.1707, reader_cost=0.0014 | ETA 13:32:14 2020-12-15 21:51:07 [INFO] [TRAIN] epoch=104, iter=38380/80000, loss=0.1444, lr=0.005554, batch_cost=1.2701, reader_cost=0.0009 | ETA 14:41:02 2020-12-15 21:51:19 [INFO] [TRAIN] epoch=104, iter=38390/80000, loss=0.1825, lr=0.005553, batch_cost=1.1662, reader_cost=0.0028 | ETA 13:28:44 2020-12-15 21:51:30 [INFO] [TRAIN] epoch=104, iter=38400/80000, loss=0.1250, lr=0.005552, batch_cost=1.1261, reader_cost=0.0009 | ETA 13:00:46 2020-12-15 21:51:42 [INFO] [TRAIN] epoch=104, iter=38410/80000, loss=0.2184, lr=0.005550, batch_cost=1.1868, reader_cost=0.0001 | ETA 13:42:39 2020-12-15 21:51:53 [INFO] [TRAIN] epoch=104, iter=38420/80000, loss=0.1599, lr=0.005549, batch_cost=1.1043, reader_cost=0.0015 | ETA 12:45:17 2020-12-15 21:52:05 [INFO] [TRAIN] epoch=104, iter=38430/80000, loss=0.2111, lr=0.005548, batch_cost=1.1497, reader_cost=0.0001 | ETA 13:16:32 2020-12-15 21:52:17 [INFO] [TRAIN] epoch=104, iter=38440/80000, loss=0.1484, lr=0.005547, batch_cost=1.2008, reader_cost=0.0005 | ETA 13:51:45 2020-12-15 21:52:27 [INFO] [TRAIN] epoch=104, iter=38450/80000, loss=0.1463, lr=0.005546, batch_cost=1.0190, reader_cost=0.0001 | ETA 11:45:38 2020-12-15 21:52:38 [INFO] [TRAIN] epoch=104, iter=38460/80000, loss=0.1798, lr=0.005544, batch_cost=1.0954, reader_cost=0.0005 | ETA 12:38:22 2020-12-15 21:52:49 [INFO] [TRAIN] epoch=104, iter=38470/80000, loss=0.1748, lr=0.005543, batch_cost=1.1092, reader_cost=0.0006 | ETA 12:47:44 2020-12-15 21:53:00 [INFO] [TRAIN] epoch=104, iter=38480/80000, loss=0.2154, lr=0.005542, batch_cost=1.1142, reader_cost=0.0001 | ETA 12:51:02 2020-12-15 21:53:12 [INFO] [TRAIN] epoch=104, iter=38490/80000, loss=0.1635, lr=0.005541, batch_cost=1.2066, reader_cost=0.0028 | ETA 13:54:47 2020-12-15 21:53:24 [INFO] [TRAIN] epoch=104, iter=38500/80000, loss=0.1646, lr=0.005540, batch_cost=1.1936, reader_cost=0.0036 | ETA 13:45:35 2020-12-15 21:53:35 [INFO] [TRAIN] epoch=104, iter=38510/80000, loss=0.1785, lr=0.005538, batch_cost=1.1395, reader_cost=0.0007 | ETA 13:07:59 2020-12-15 21:53:47 [INFO] [TRAIN] epoch=104, iter=38520/80000, loss=0.1816, lr=0.005537, batch_cost=1.2023, reader_cost=0.0040 | ETA 13:51:09 2020-12-15 21:54:00 [INFO] [TRAIN] epoch=104, iter=38530/80000, loss=0.1923, lr=0.005536, batch_cost=1.2742, reader_cost=0.0009 | ETA 14:40:40 2020-12-15 21:54:14 [INFO] [TRAIN] epoch=104, iter=38540/80000, loss=0.1495, lr=0.005535, batch_cost=1.3728, reader_cost=0.0014 | ETA 15:48:34 2020-12-15 21:54:27 [INFO] [TRAIN] epoch=104, iter=38550/80000, loss=0.1586, lr=0.005534, batch_cost=1.3042, reader_cost=0.0028 | ETA 15:01:00 2020-12-15 21:54:35 [INFO] [TRAIN] epoch=104, iter=38560/80000, loss=0.2159, lr=0.005532, batch_cost=0.7963, reader_cost=0.0001 | ETA 09:09:58 2020-12-15 21:54:44 [INFO] [TRAIN] epoch=104, iter=38570/80000, loss=0.1905, lr=0.005531, batch_cost=0.9179, reader_cost=0.0001 | ETA 10:33:50 2020-12-15 21:54:55 [INFO] [TRAIN] epoch=104, iter=38580/80000, loss=0.1407, lr=0.005530, batch_cost=1.0762, reader_cost=0.0001 | ETA 12:22:56 2020-12-15 21:55:07 [INFO] [TRAIN] epoch=104, iter=38590/80000, loss=0.4274, lr=0.005529, batch_cost=1.1808, reader_cost=0.0005 | ETA 13:34:57 2020-12-15 21:55:19 [INFO] [TRAIN] epoch=104, iter=38600/80000, loss=0.1678, lr=0.005528, batch_cost=1.2439, reader_cost=0.0006 | ETA 14:18:18 2020-12-15 21:55:32 [INFO] [TRAIN] epoch=104, iter=38610/80000, loss=0.2075, lr=0.005526, batch_cost=1.2662, reader_cost=0.0001 | ETA 14:33:27 2020-12-15 21:55:45 [INFO] [TRAIN] epoch=104, iter=38620/80000, loss=0.1557, lr=0.005525, batch_cost=1.2836, reader_cost=0.0001 | ETA 14:45:14 2020-12-15 21:55:57 [INFO] [TRAIN] epoch=104, iter=38630/80000, loss=0.2127, lr=0.005524, batch_cost=1.2442, reader_cost=0.0020 | ETA 14:17:50 2020-12-15 21:56:09 [INFO] [TRAIN] epoch=104, iter=38640/80000, loss=0.1870, lr=0.005523, batch_cost=1.2024, reader_cost=0.0022 | ETA 13:48:51 2020-12-15 21:56:21 [INFO] [TRAIN] epoch=104, iter=38650/80000, loss=0.2521, lr=0.005521, batch_cost=1.1520, reader_cost=0.0001 | ETA 13:13:54 2020-12-15 21:56:34 [INFO] [TRAIN] epoch=104, iter=38660/80000, loss=0.2454, lr=0.005520, batch_cost=1.3421, reader_cost=0.0001 | ETA 15:24:41 2020-12-15 21:56:48 [INFO] [TRAIN] epoch=104, iter=38670/80000, loss=0.1538, lr=0.005519, batch_cost=1.3733, reader_cost=0.0054 | ETA 15:46:00 2020-12-15 21:56:59 [INFO] [TRAIN] epoch=104, iter=38680/80000, loss=0.1492, lr=0.005518, batch_cost=1.1776, reader_cost=0.0002 | ETA 13:30:57 2020-12-15 21:57:11 [INFO] [TRAIN] epoch=105, iter=38690/80000, loss=0.1702, lr=0.005517, batch_cost=1.1954, reader_cost=0.1001 | ETA 13:43:01 2020-12-15 21:57:25 [INFO] [TRAIN] epoch=105, iter=38700/80000, loss=0.1546, lr=0.005515, batch_cost=1.3192, reader_cost=0.0001 | ETA 15:08:02 2020-12-15 21:57:37 [INFO] [TRAIN] epoch=105, iter=38710/80000, loss=0.2041, lr=0.005514, batch_cost=1.2385, reader_cost=0.0010 | ETA 14:12:17 2020-12-15 21:57:50 [INFO] [TRAIN] epoch=105, iter=38720/80000, loss=0.1783, lr=0.005513, batch_cost=1.3152, reader_cost=0.0008 | ETA 15:04:49 2020-12-15 21:58:02 [INFO] [TRAIN] epoch=105, iter=38730/80000, loss=0.2038, lr=0.005512, batch_cost=1.1606, reader_cost=0.0004 | ETA 13:18:16 2020-12-15 21:58:14 [INFO] [TRAIN] epoch=105, iter=38740/80000, loss=0.1778, lr=0.005511, batch_cost=1.2653, reader_cost=0.0035 | ETA 14:30:04 2020-12-15 21:58:26 [INFO] [TRAIN] epoch=105, iter=38750/80000, loss=0.1315, lr=0.005509, batch_cost=1.2016, reader_cost=0.0006 | ETA 13:46:07 2020-12-15 21:58:38 [INFO] [TRAIN] epoch=105, iter=38760/80000, loss=0.1603, lr=0.005508, batch_cost=1.1887, reader_cost=0.0001 | ETA 13:37:03 2020-12-15 21:58:51 [INFO] [TRAIN] epoch=105, iter=38770/80000, loss=0.2000, lr=0.005507, batch_cost=1.2472, reader_cost=0.0029 | ETA 14:17:00 2020-12-15 21:59:01 [INFO] [TRAIN] epoch=105, iter=38780/80000, loss=0.1683, lr=0.005506, batch_cost=0.9701, reader_cost=0.0026 | ETA 11:06:28 2020-12-15 21:59:08 [INFO] [TRAIN] epoch=105, iter=38790/80000, loss=0.2439, lr=0.005505, batch_cost=0.7979, reader_cost=0.0001 | ETA 09:08:01 2020-12-15 21:59:18 [INFO] [TRAIN] epoch=105, iter=38800/80000, loss=0.1544, lr=0.005503, batch_cost=0.9212, reader_cost=0.0001 | ETA 10:32:34 2020-12-15 21:59:29 [INFO] [TRAIN] epoch=105, iter=38810/80000, loss=0.1644, lr=0.005502, batch_cost=1.1281, reader_cost=0.0001 | ETA 12:54:27 2020-12-15 21:59:37 [INFO] [TRAIN] epoch=105, iter=38820/80000, loss=0.2119, lr=0.005501, batch_cost=0.8295, reader_cost=0.0001 | ETA 09:29:17 2020-12-15 21:59:45 [INFO] [TRAIN] epoch=105, iter=38830/80000, loss=0.2131, lr=0.005500, batch_cost=0.8012, reader_cost=0.0001 | ETA 09:09:45 2020-12-15 21:59:53 [INFO] [TRAIN] epoch=105, iter=38840/80000, loss=0.1440, lr=0.005499, batch_cost=0.8071, reader_cost=0.0001 | ETA 09:13:41 2020-12-15 22:00:01 [INFO] [TRAIN] epoch=105, iter=38850/80000, loss=0.1859, lr=0.005497, batch_cost=0.8125, reader_cost=0.0001 | ETA 09:17:13 2020-12-15 22:00:11 [INFO] [TRAIN] epoch=105, iter=38860/80000, loss=0.2044, lr=0.005496, batch_cost=0.9408, reader_cost=0.0005 | ETA 10:45:04 2020-12-15 22:00:24 [INFO] [TRAIN] epoch=105, iter=38870/80000, loss=0.1966, lr=0.005495, batch_cost=1.2847, reader_cost=0.0001 | ETA 14:40:39 2020-12-15 22:00:35 [INFO] [TRAIN] epoch=105, iter=38880/80000, loss=0.2300, lr=0.005494, batch_cost=1.1449, reader_cost=0.0005 | ETA 13:04:39 2020-12-15 22:00:46 [INFO] [TRAIN] epoch=105, iter=38890/80000, loss=0.1412, lr=0.005493, batch_cost=1.0968, reader_cost=0.0013 | ETA 12:31:29 2020-12-15 22:00:57 [INFO] [TRAIN] epoch=105, iter=38900/80000, loss=0.1669, lr=0.005491, batch_cost=1.1253, reader_cost=0.0010 | ETA 12:50:48 2020-12-15 22:01:10 [INFO] [TRAIN] epoch=105, iter=38910/80000, loss=0.2133, lr=0.005490, batch_cost=1.3032, reader_cost=0.0001 | ETA 14:52:27 2020-12-15 22:01:23 [INFO] [TRAIN] epoch=105, iter=38920/80000, loss=0.1401, lr=0.005489, batch_cost=1.2725, reader_cost=0.0011 | ETA 14:31:13 2020-12-15 22:01:35 [INFO] [TRAIN] epoch=105, iter=38930/80000, loss=0.2133, lr=0.005488, batch_cost=1.2166, reader_cost=0.0006 | ETA 13:52:46 2020-12-15 22:01:47 [INFO] [TRAIN] epoch=105, iter=38940/80000, loss=0.1357, lr=0.005487, batch_cost=1.2105, reader_cost=0.0005 | ETA 13:48:23 2020-12-15 22:01:59 [INFO] [TRAIN] epoch=105, iter=38950/80000, loss=0.1969, lr=0.005485, batch_cost=1.1475, reader_cost=0.0023 | ETA 13:05:05 2020-12-15 22:02:11 [INFO] [TRAIN] epoch=105, iter=38960/80000, loss=0.2011, lr=0.005484, batch_cost=1.1814, reader_cost=0.0020 | ETA 13:28:04 2020-12-15 22:02:23 [INFO] [TRAIN] epoch=105, iter=38970/80000, loss=0.1375, lr=0.005483, batch_cost=1.2191, reader_cost=0.0006 | ETA 13:53:40 2020-12-15 22:02:37 [INFO] [TRAIN] epoch=105, iter=38980/80000, loss=0.1222, lr=0.005482, batch_cost=1.4199, reader_cost=0.0013 | ETA 16:10:42 2020-12-15 22:02:50 [INFO] [TRAIN] epoch=105, iter=38990/80000, loss=0.1611, lr=0.005481, batch_cost=1.3284, reader_cost=0.0002 | ETA 15:07:59 2020-12-15 22:03:04 [INFO] [TRAIN] epoch=105, iter=39000/80000, loss=0.1781, lr=0.005479, batch_cost=1.3438, reader_cost=0.0014 | ETA 15:18:14 aug_eval False scales 1.0 2020-12-15 22:03:04 [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 2020-12-15 22:03:55 [INFO] [EVAL] #Images=500 mIoU=0.7774 Acc=0.9595 Kappa=0.9474 2020-12-15 22:03:55 [INFO] [EVAL] Class IoU: [0.981 0.8457 0.9232 0.5579 0.6167 0.6021 0.6884 0.772 0.9223 0.6527 0.945 0.8089 0.6197 0.9486 0.8202 0.8821 0.8114 0.6114 0.761 ] 2020-12-15 22:03:55 [INFO] [EVAL] Class Acc: [0.9898 0.9274 0.9588 0.8255 0.794 0.748 0.841 0.8747 0.9517 0.8536 0.9651 0.8965 0.7582 0.973 0.9073 0.9296 0.9354 0.7629 0.8423] 2020-12-15 22:04:02 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 22:04:11 [INFO] [TRAIN] epoch=105, iter=39010/80000, loss=0.1606, lr=0.005478, batch_cost=0.9606, reader_cost=0.0001 | ETA 10:56:16 2020-12-15 22:04:19 [INFO] [TRAIN] epoch=105, iter=39020/80000, loss=0.1475, lr=0.005477, batch_cost=0.8148, reader_cost=0.0004 | ETA 09:16:28 2020-12-15 22:04:29 [INFO] [TRAIN] epoch=105, iter=39030/80000, loss=0.2222, lr=0.005476, batch_cost=0.9811, reader_cost=0.0001 | ETA 11:09:54 2020-12-15 22:04:41 [INFO] [TRAIN] epoch=105, iter=39040/80000, loss=0.2478, lr=0.005475, batch_cost=1.2116, reader_cost=0.0023 | ETA 13:47:05 2020-12-15 22:04:53 [INFO] [TRAIN] epoch=105, iter=39050/80000, loss=0.3676, lr=0.005473, batch_cost=1.2025, reader_cost=0.0020 | ETA 13:40:42 2020-12-15 22:05:03 [INFO] [TRAIN] epoch=105, iter=39060/80000, loss=0.1607, lr=0.005472, batch_cost=0.9671, reader_cost=0.0001 | ETA 10:59:51 2020-12-15 22:05:17 [INFO] [TRAIN] epoch=106, iter=39070/80000, loss=0.1886, lr=0.005471, batch_cost=1.3746, reader_cost=0.0585 | ETA 15:37:40 2020-12-15 22:05:30 [INFO] [TRAIN] epoch=106, iter=39080/80000, loss=0.1962, lr=0.005470, batch_cost=1.3242, reader_cost=0.0065 | ETA 15:03:07 2020-12-15 22:05:43 [INFO] [TRAIN] epoch=106, iter=39090/80000, loss=0.1582, lr=0.005469, batch_cost=1.2448, reader_cost=0.0014 | ETA 14:08:43 2020-12-15 22:05:55 [INFO] [TRAIN] epoch=106, iter=39100/80000, loss=0.1615, lr=0.005467, batch_cost=1.2609, reader_cost=0.0022 | ETA 14:19:31 2020-12-15 22:06:08 [INFO] [TRAIN] epoch=106, iter=39110/80000, loss=0.1933, lr=0.005466, batch_cost=1.2705, reader_cost=0.0001 | ETA 14:25:50 2020-12-15 22:06:20 [INFO] [TRAIN] epoch=106, iter=39120/80000, loss=0.1745, lr=0.005465, batch_cost=1.1842, reader_cost=0.0001 | ETA 13:26:48 2020-12-15 22:06:32 [INFO] [TRAIN] epoch=106, iter=39130/80000, loss=0.1865, lr=0.005464, batch_cost=1.2481, reader_cost=0.0025 | ETA 14:10:08 2020-12-15 22:06:44 [INFO] [TRAIN] epoch=106, iter=39140/80000, loss=0.1593, lr=0.005463, batch_cost=1.2065, reader_cost=0.0016 | ETA 13:41:35 2020-12-15 22:06:57 [INFO] [TRAIN] epoch=106, iter=39150/80000, loss=0.1723, lr=0.005461, batch_cost=1.2414, reader_cost=0.0001 | ETA 14:05:09 2020-12-15 22:07:08 [INFO] [TRAIN] epoch=106, iter=39160/80000, loss=0.1494, lr=0.005460, batch_cost=1.1626, reader_cost=0.0001 | ETA 13:11:21 2020-12-15 22:07:21 [INFO] [TRAIN] epoch=106, iter=39170/80000, loss=0.1750, lr=0.005459, batch_cost=1.3050, reader_cost=0.0021 | ETA 14:48:04 2020-12-15 22:07:34 [INFO] [TRAIN] epoch=106, iter=39180/80000, loss=0.1977, lr=0.005458, batch_cost=1.2269, reader_cost=0.0005 | ETA 13:54:42 2020-12-15 22:07:45 [INFO] [TRAIN] epoch=106, iter=39190/80000, loss=0.1777, lr=0.005457, batch_cost=1.1764, reader_cost=0.0001 | ETA 13:20:10 2020-12-15 22:07:58 [INFO] [TRAIN] epoch=106, iter=39200/80000, loss=0.2350, lr=0.005455, batch_cost=1.2309, reader_cost=0.0005 | ETA 13:57:00 2020-12-15 22:08:10 [INFO] [TRAIN] epoch=106, iter=39210/80000, loss=0.2300, lr=0.005454, batch_cost=1.2717, reader_cost=0.0001 | ETA 14:24:31 2020-12-15 22:08:23 [INFO] [TRAIN] epoch=106, iter=39220/80000, loss=0.2343, lr=0.005453, batch_cost=1.2172, reader_cost=0.0001 | ETA 13:47:15 2020-12-15 22:08:36 [INFO] [TRAIN] epoch=106, iter=39230/80000, loss=0.1727, lr=0.005452, batch_cost=1.3128, reader_cost=0.0001 | ETA 14:52:02 2020-12-15 22:08:45 [INFO] [TRAIN] epoch=106, iter=39240/80000, loss=0.1709, lr=0.005451, batch_cost=0.8999, reader_cost=0.0003 | ETA 10:11:20 2020-12-15 22:08:53 [INFO] [TRAIN] epoch=106, iter=39250/80000, loss=0.1551, lr=0.005449, batch_cost=0.8666, reader_cost=0.0017 | ETA 09:48:33 2020-12-15 22:09:05 [INFO] [TRAIN] epoch=106, iter=39260/80000, loss=0.1651, lr=0.005448, batch_cost=1.1401, reader_cost=0.0001 | ETA 12:54:07 2020-12-15 22:09:17 [INFO] [TRAIN] epoch=106, iter=39270/80000, loss=0.2249, lr=0.005447, batch_cost=1.2355, reader_cost=0.0014 | ETA 13:58:43 2020-12-15 22:09:29 [INFO] [TRAIN] epoch=106, iter=39280/80000, loss=0.1421, lr=0.005446, batch_cost=1.2268, reader_cost=0.0001 | ETA 13:52:37 2020-12-15 22:09:41 [INFO] [TRAIN] epoch=106, iter=39290/80000, loss=0.1713, lr=0.005445, batch_cost=1.1502, reader_cost=0.0001 | ETA 13:00:24 2020-12-15 22:09:53 [INFO] [TRAIN] epoch=106, iter=39300/80000, loss=0.1969, lr=0.005443, batch_cost=1.1964, reader_cost=0.0001 | ETA 13:31:32 2020-12-15 22:10:05 [INFO] [TRAIN] epoch=106, iter=39310/80000, loss=0.1909, lr=0.005442, batch_cost=1.2338, reader_cost=0.0007 | ETA 13:56:45 2020-12-15 22:10:18 [INFO] [TRAIN] epoch=106, iter=39320/80000, loss=0.1555, lr=0.005441, batch_cost=1.2803, reader_cost=0.0029 | ETA 14:28:01 2020-12-15 22:10:29 [INFO] [TRAIN] epoch=106, iter=39330/80000, loss=0.1320, lr=0.005440, batch_cost=1.1283, reader_cost=0.0008 | ETA 12:44:46 2020-12-15 22:10:41 [INFO] [TRAIN] epoch=106, iter=39340/80000, loss=0.1866, lr=0.005439, batch_cost=1.1925, reader_cost=0.0001 | ETA 13:28:08 2020-12-15 22:10:53 [INFO] [TRAIN] epoch=106, iter=39350/80000, loss=0.2188, lr=0.005437, batch_cost=1.1755, reader_cost=0.0017 | ETA 13:16:24 2020-12-15 22:11:07 [INFO] [TRAIN] epoch=106, iter=39360/80000, loss=0.1603, lr=0.005436, batch_cost=1.3619, reader_cost=0.0017 | ETA 15:22:28 2020-12-15 22:11:19 [INFO] [TRAIN] epoch=106, iter=39370/80000, loss=0.1995, lr=0.005435, batch_cost=1.2137, reader_cost=0.0043 | ETA 13:41:52 2020-12-15 22:11:31 [INFO] [TRAIN] epoch=106, iter=39380/80000, loss=0.1569, lr=0.005434, batch_cost=1.2088, reader_cost=0.0001 | ETA 13:38:22 2020-12-15 22:11:44 [INFO] [TRAIN] epoch=106, iter=39390/80000, loss=0.1592, lr=0.005432, batch_cost=1.2735, reader_cost=0.0002 | ETA 14:21:57 2020-12-15 22:11:56 [INFO] [TRAIN] epoch=106, iter=39400/80000, loss=0.1570, lr=0.005431, batch_cost=1.2269, reader_cost=0.0001 | ETA 13:50:10 2020-12-15 22:12:08 [INFO] [TRAIN] epoch=106, iter=39410/80000, loss=0.1727, lr=0.005430, batch_cost=1.1896, reader_cost=0.0001 | ETA 13:24:44 2020-12-15 22:12:19 [INFO] [TRAIN] epoch=106, iter=39420/80000, loss=0.1751, lr=0.005429, batch_cost=1.1533, reader_cost=0.0016 | ETA 12:59:59 2020-12-15 22:12:31 [INFO] [TRAIN] epoch=106, iter=39430/80000, loss=0.3334, lr=0.005428, batch_cost=1.1464, reader_cost=0.0001 | ETA 12:55:07 2020-12-15 22:12:44 [INFO] [TRAIN] epoch=107, iter=39440/80000, loss=0.1706, lr=0.005426, batch_cost=1.3117, reader_cost=0.0795 | ETA 14:46:40 2020-12-15 22:12:55 [INFO] [TRAIN] epoch=107, iter=39450/80000, loss=0.1638, lr=0.005425, batch_cost=1.1654, reader_cost=0.0034 | ETA 13:07:37 2020-12-15 22:13:08 [INFO] [TRAIN] epoch=107, iter=39460/80000, loss=0.1594, lr=0.005424, batch_cost=1.2142, reader_cost=0.0010 | ETA 13:40:22 2020-12-15 22:13:16 [INFO] [TRAIN] epoch=107, iter=39470/80000, loss=0.2101, lr=0.005423, batch_cost=0.8877, reader_cost=0.0001 | ETA 09:59:38 2020-12-15 22:13:25 [INFO] [TRAIN] epoch=107, iter=39480/80000, loss=0.1470, lr=0.005422, batch_cost=0.8086, reader_cost=0.0001 | ETA 09:06:03 2020-12-15 22:13:35 [INFO] [TRAIN] epoch=107, iter=39490/80000, loss=0.1675, lr=0.005420, batch_cost=1.0629, reader_cost=0.0001 | ETA 11:57:37 2020-12-15 22:13:48 [INFO] [TRAIN] epoch=107, iter=39500/80000, loss=0.2448, lr=0.005419, batch_cost=1.3181, reader_cost=0.0027 | ETA 14:49:41 2020-12-15 22:14:00 [INFO] [TRAIN] epoch=107, iter=39510/80000, loss=0.1636, lr=0.005418, batch_cost=1.2034, reader_cost=0.0005 | ETA 13:32:04 2020-12-15 22:14:13 [INFO] [TRAIN] epoch=107, iter=39520/80000, loss=0.1894, lr=0.005417, batch_cost=1.2097, reader_cost=0.0001 | ETA 13:36:06 2020-12-15 22:14:24 [INFO] [TRAIN] epoch=107, iter=39530/80000, loss=0.1625, lr=0.005416, batch_cost=1.1634, reader_cost=0.0013 | ETA 13:04:41 2020-12-15 22:14:35 [INFO] [TRAIN] epoch=107, iter=39540/80000, loss=0.1604, lr=0.005414, batch_cost=1.0862, reader_cost=0.0001 | ETA 12:12:28 2020-12-15 22:14:46 [INFO] [TRAIN] epoch=107, iter=39550/80000, loss=0.2013, lr=0.005413, batch_cost=1.1223, reader_cost=0.0001 | ETA 12:36:36 2020-12-15 22:14:58 [INFO] [TRAIN] epoch=107, iter=39560/80000, loss=0.2081, lr=0.005412, batch_cost=1.1847, reader_cost=0.0001 | ETA 13:18:28 2020-12-15 22:15:11 [INFO] [TRAIN] epoch=107, iter=39570/80000, loss=0.2069, lr=0.005411, batch_cost=1.2614, reader_cost=0.0007 | ETA 14:09:59 2020-12-15 22:15:24 [INFO] [TRAIN] epoch=107, iter=39580/80000, loss=0.1459, lr=0.005410, batch_cost=1.3260, reader_cost=0.0001 | ETA 14:53:18 2020-12-15 22:15:35 [INFO] [TRAIN] epoch=107, iter=39590/80000, loss=0.1275, lr=0.005408, batch_cost=1.1387, reader_cost=0.0016 | ETA 12:46:56 2020-12-15 22:15:48 [INFO] [TRAIN] epoch=107, iter=39600/80000, loss=0.2187, lr=0.005407, batch_cost=1.3119, reader_cost=0.0001 | ETA 14:43:19 2020-12-15 22:16:01 [INFO] [TRAIN] epoch=107, iter=39610/80000, loss=0.1531, lr=0.005406, batch_cost=1.2198, reader_cost=0.0009 | ETA 13:41:05 2020-12-15 22:16:13 [INFO] [TRAIN] epoch=107, iter=39620/80000, loss=0.1922, lr=0.005405, batch_cost=1.1891, reader_cost=0.0001 | ETA 13:20:13 2020-12-15 22:16:25 [INFO] [TRAIN] epoch=107, iter=39630/80000, loss=0.1538, lr=0.005404, batch_cost=1.2392, reader_cost=0.0001 | ETA 13:53:45 2020-12-15 22:16:37 [INFO] [TRAIN] epoch=107, iter=39640/80000, loss=0.1833, lr=0.005402, batch_cost=1.2399, reader_cost=0.0011 | ETA 13:54:01 2020-12-15 22:16:50 [INFO] [TRAIN] epoch=107, iter=39650/80000, loss=0.2035, lr=0.005401, batch_cost=1.2883, reader_cost=0.0014 | ETA 14:26:22 2020-12-15 22:17:01 [INFO] [TRAIN] epoch=107, iter=39660/80000, loss=0.1399, lr=0.005400, batch_cost=1.1026, reader_cost=0.0001 | ETA 12:21:18 2020-12-15 22:17:12 [INFO] [TRAIN] epoch=107, iter=39670/80000, loss=0.2234, lr=0.005399, batch_cost=1.0724, reader_cost=0.0019 | ETA 12:00:50 2020-12-15 22:17:23 [INFO] [TRAIN] epoch=107, iter=39680/80000, loss=0.1621, lr=0.005398, batch_cost=1.1192, reader_cost=0.0001 | ETA 12:32:05 2020-12-15 22:17:34 [INFO] [TRAIN] epoch=107, iter=39690/80000, loss=0.1521, lr=0.005396, batch_cost=1.1155, reader_cost=0.0036 | ETA 12:29:23 2020-12-15 22:17:45 [INFO] [TRAIN] epoch=107, iter=39700/80000, loss=0.1434, lr=0.005395, batch_cost=1.1094, reader_cost=0.0024 | ETA 12:25:06 2020-12-15 22:17:53 [INFO] [TRAIN] epoch=107, iter=39710/80000, loss=0.1309, lr=0.005394, batch_cost=0.8034, reader_cost=0.0005 | ETA 08:59:27 2020-12-15 22:18:03 [INFO] [TRAIN] epoch=107, iter=39720/80000, loss=0.1409, lr=0.005393, batch_cost=0.9635, reader_cost=0.0002 | ETA 10:46:50 2020-12-15 22:18:14 [INFO] [TRAIN] epoch=107, iter=39730/80000, loss=0.2172, lr=0.005392, batch_cost=1.1258, reader_cost=0.0016 | ETA 12:35:37 2020-12-15 22:18:27 [INFO] [TRAIN] epoch=107, iter=39740/80000, loss=0.2055, lr=0.005390, batch_cost=1.2308, reader_cost=0.0009 | ETA 13:45:50 2020-12-15 22:18:40 [INFO] [TRAIN] epoch=107, iter=39750/80000, loss=0.1545, lr=0.005389, batch_cost=1.2852, reader_cost=0.0020 | ETA 14:22:08 2020-12-15 22:18:52 [INFO] [TRAIN] epoch=107, iter=39760/80000, loss=0.1383, lr=0.005388, batch_cost=1.2284, reader_cost=0.0005 | ETA 13:43:52 2020-12-15 22:19:04 [INFO] [TRAIN] epoch=107, iter=39770/80000, loss=0.3638, lr=0.005387, batch_cost=1.2491, reader_cost=0.0001 | ETA 13:57:29 2020-12-15 22:19:16 [INFO] [TRAIN] epoch=107, iter=39780/80000, loss=0.1834, lr=0.005386, batch_cost=1.1996, reader_cost=0.0022 | ETA 13:24:08 2020-12-15 22:19:29 [INFO] [TRAIN] epoch=107, iter=39790/80000, loss=0.1633, lr=0.005384, batch_cost=1.2669, reader_cost=0.0024 | ETA 14:09:01 2020-12-15 22:19:40 [INFO] [TRAIN] epoch=107, iter=39800/80000, loss=0.1206, lr=0.005383, batch_cost=1.1364, reader_cost=0.0007 | ETA 12:41:22 2020-12-15 22:19:52 [INFO] [TRAIN] epoch=108, iter=39810/80000, loss=0.2094, lr=0.005382, batch_cost=1.1236, reader_cost=0.0628 | ETA 12:32:36 2020-12-15 22:20:02 [INFO] [TRAIN] epoch=108, iter=39820/80000, loss=0.1292, lr=0.005381, batch_cost=1.0814, reader_cost=0.0005 | ETA 12:04:11 2020-12-15 22:20:14 [INFO] [TRAIN] epoch=108, iter=39830/80000, loss=0.1794, lr=0.005379, batch_cost=1.1793, reader_cost=0.0024 | ETA 13:09:34 2020-12-15 22:20:25 [INFO] [TRAIN] epoch=108, iter=39840/80000, loss=0.2225, lr=0.005378, batch_cost=1.1011, reader_cost=0.0003 | ETA 12:16:59 2020-12-15 22:20:37 [INFO] [TRAIN] epoch=108, iter=39850/80000, loss=0.2489, lr=0.005377, batch_cost=1.2296, reader_cost=0.0001 | ETA 13:42:49 2020-12-15 22:20:51 [INFO] [TRAIN] epoch=108, iter=39860/80000, loss=0.1341, lr=0.005376, batch_cost=1.3084, reader_cost=0.0014 | ETA 14:35:20 2020-12-15 22:21:02 [INFO] [TRAIN] epoch=108, iter=39870/80000, loss=0.1856, lr=0.005375, batch_cost=1.1863, reader_cost=0.0007 | ETA 13:13:25 2020-12-15 22:21:14 [INFO] [TRAIN] epoch=108, iter=39880/80000, loss=0.1590, lr=0.005373, batch_cost=1.1561, reader_cost=0.0054 | ETA 12:53:04 2020-12-15 22:21:26 [INFO] [TRAIN] epoch=108, iter=39890/80000, loss=0.1529, lr=0.005372, batch_cost=1.2184, reader_cost=0.0009 | ETA 13:34:31 2020-12-15 22:21:39 [INFO] [TRAIN] epoch=108, iter=39900/80000, loss=0.1972, lr=0.005371, batch_cost=1.2809, reader_cost=0.0014 | ETA 14:16:04 2020-12-15 22:21:50 [INFO] [TRAIN] epoch=108, iter=39910/80000, loss=0.1623, lr=0.005370, batch_cost=1.1348, reader_cost=0.0001 | ETA 12:38:15 2020-12-15 22:22:02 [INFO] [TRAIN] epoch=108, iter=39920/80000, loss=0.2531, lr=0.005369, batch_cost=1.1979, reader_cost=0.0039 | ETA 13:20:13 2020-12-15 22:22:14 [INFO] [TRAIN] epoch=108, iter=39930/80000, loss=0.1968, lr=0.005367, batch_cost=1.1517, reader_cost=0.0001 | ETA 12:49:07 2020-12-15 22:22:23 [INFO] [TRAIN] epoch=108, iter=39940/80000, loss=0.1803, lr=0.005366, batch_cost=0.9138, reader_cost=0.0022 | ETA 10:10:07 2020-12-15 22:22:31 [INFO] [TRAIN] epoch=108, iter=39950/80000, loss=0.1652, lr=0.005365, batch_cost=0.8203, reader_cost=0.0001 | ETA 09:07:33 2020-12-15 22:22:41 [INFO] [TRAIN] epoch=108, iter=39960/80000, loss=0.1965, lr=0.005364, batch_cost=0.9809, reader_cost=0.0004 | ETA 10:54:35 2020-12-15 22:22:52 [INFO] [TRAIN] epoch=108, iter=39970/80000, loss=0.2005, lr=0.005363, batch_cost=1.1491, reader_cost=0.0011 | ETA 12:46:37 2020-12-15 22:23:05 [INFO] [TRAIN] epoch=108, iter=39980/80000, loss=0.2037, lr=0.005361, batch_cost=1.2820, reader_cost=0.0001 | ETA 14:15:05 2020-12-15 22:23:17 [INFO] [TRAIN] epoch=108, iter=39990/80000, loss=0.1291, lr=0.005360, batch_cost=1.1970, reader_cost=0.0001 | ETA 13:18:11 2020-12-15 22:23:29 [INFO] [TRAIN] epoch=108, iter=40000/80000, loss=0.1217, lr=0.005359, batch_cost=1.1837, reader_cost=0.0005 | ETA 13:09:07 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 22:23:29 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 22:24:20 [INFO] [EVAL] #Images=500 mIoU=0.7675 Acc=0.9587 Kappa=0.9464 2020-12-15 22:24:20 [INFO] [EVAL] Class IoU: [0.9813 0.8496 0.9212 0.5039 0.626 0.5779 0.696 0.7653 0.9173 0.6501 0.9459 0.806 0.5899 0.9477 0.7851 0.8892 0.7405 0.626 0.7631] 2020-12-15 22:24:20 [INFO] [EVAL] Class Acc: [0.9918 0.9158 0.954 0.831 0.8298 0.8189 0.8468 0.9125 0.9414 0.8717 0.9658 0.8694 0.8492 0.9702 0.948 0.9602 0.8264 0.8353 0.8342] 2020-12-15 22:24:26 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 22:24:34 [INFO] [TRAIN] epoch=108, iter=40010/80000, loss=0.1398, lr=0.005358, batch_cost=0.8204, reader_cost=0.0005 | ETA 09:06:45 2020-12-15 22:24:43 [INFO] [TRAIN] epoch=108, iter=40020/80000, loss=0.1943, lr=0.005357, batch_cost=0.8126, reader_cost=0.0001 | ETA 09:01:26 2020-12-15 22:24:51 [INFO] [TRAIN] epoch=108, iter=40030/80000, loss=0.1852, lr=0.005355, batch_cost=0.8269, reader_cost=0.0001 | ETA 09:10:51 2020-12-15 22:24:59 [INFO] [TRAIN] epoch=108, iter=40040/80000, loss=0.2205, lr=0.005354, batch_cost=0.8406, reader_cost=0.0001 | ETA 09:19:51 2020-12-15 22:25:09 [INFO] [TRAIN] epoch=108, iter=40050/80000, loss=0.1982, lr=0.005353, batch_cost=0.9447, reader_cost=0.0001 | ETA 10:28:59 2020-12-15 22:25:21 [INFO] [TRAIN] epoch=108, iter=40060/80000, loss=0.1696, lr=0.005352, batch_cost=1.2198, reader_cost=0.0001 | ETA 13:31:58 2020-12-15 22:25:34 [INFO] [TRAIN] epoch=108, iter=40070/80000, loss=0.1516, lr=0.005351, batch_cost=1.2838, reader_cost=0.0051 | ETA 14:14:22 2020-12-15 22:25:48 [INFO] [TRAIN] epoch=108, iter=40080/80000, loss=0.1849, lr=0.005349, batch_cost=1.4129, reader_cost=0.0026 | ETA 15:40:04 2020-12-15 22:26:01 [INFO] [TRAIN] epoch=108, iter=40090/80000, loss=0.1642, lr=0.005348, batch_cost=1.2864, reader_cost=0.0018 | ETA 14:15:39 2020-12-15 22:26:14 [INFO] [TRAIN] epoch=108, iter=40100/80000, loss=0.1707, lr=0.005347, batch_cost=1.3062, reader_cost=0.0026 | ETA 14:28:38 2020-12-15 22:26:26 [INFO] [TRAIN] epoch=108, iter=40110/80000, loss=0.1670, lr=0.005346, batch_cost=1.2680, reader_cost=0.0017 | ETA 14:02:59 2020-12-15 22:26:40 [INFO] [TRAIN] epoch=108, iter=40120/80000, loss=0.2768, lr=0.005345, batch_cost=1.3363, reader_cost=0.0001 | ETA 14:48:11 2020-12-15 22:26:53 [INFO] [TRAIN] epoch=108, iter=40130/80000, loss=0.2206, lr=0.005343, batch_cost=1.3020, reader_cost=0.0017 | ETA 14:25:10 2020-12-15 22:27:05 [INFO] [TRAIN] epoch=108, iter=40140/80000, loss=0.1532, lr=0.005342, batch_cost=1.1961, reader_cost=0.0003 | ETA 13:14:38 2020-12-15 22:27:17 [INFO] [TRAIN] epoch=108, iter=40150/80000, loss=0.2173, lr=0.005341, batch_cost=1.2112, reader_cost=0.0001 | ETA 13:24:28 2020-12-15 22:27:28 [INFO] [TRAIN] epoch=108, iter=40160/80000, loss=0.1562, lr=0.005340, batch_cost=1.0733, reader_cost=0.0006 | ETA 11:52:38 2020-12-15 22:27:36 [INFO] [TRAIN] epoch=108, iter=40170/80000, loss=0.1306, lr=0.005338, batch_cost=0.8291, reader_cost=0.0001 | ETA 09:10:24 2020-12-15 22:27:45 [INFO] [TRAIN] epoch=109, iter=40180/80000, loss=0.1129, lr=0.005337, batch_cost=0.9487, reader_cost=0.0611 | ETA 10:29:38 2020-12-15 22:27:58 [INFO] [TRAIN] epoch=109, iter=40190/80000, loss=0.1573, lr=0.005336, batch_cost=1.2422, reader_cost=0.0001 | ETA 13:44:12 2020-12-15 22:28:10 [INFO] [TRAIN] epoch=109, iter=40200/80000, loss=0.2517, lr=0.005335, batch_cost=1.2255, reader_cost=0.0001 | ETA 13:32:54 2020-12-15 22:28:22 [INFO] [TRAIN] epoch=109, iter=40210/80000, loss=0.2095, lr=0.005334, batch_cost=1.1808, reader_cost=0.0005 | ETA 13:03:03 2020-12-15 22:28:35 [INFO] [TRAIN] epoch=109, iter=40220/80000, loss=0.1423, lr=0.005332, batch_cost=1.3502, reader_cost=0.0023 | ETA 14:55:09 2020-12-15 22:28:48 [INFO] [TRAIN] epoch=109, iter=40230/80000, loss=0.1397, lr=0.005331, batch_cost=1.2187, reader_cost=0.0022 | ETA 13:27:46 2020-12-15 22:29:00 [INFO] [TRAIN] epoch=109, iter=40240/80000, loss=0.1409, lr=0.005330, batch_cost=1.2312, reader_cost=0.0001 | ETA 13:35:52 2020-12-15 22:29:12 [INFO] [TRAIN] epoch=109, iter=40250/80000, loss=0.1462, lr=0.005329, batch_cost=1.1830, reader_cost=0.0022 | ETA 13:03:43 2020-12-15 22:29:24 [INFO] [TRAIN] epoch=109, iter=40260/80000, loss=0.1541, lr=0.005328, batch_cost=1.2358, reader_cost=0.0014 | ETA 13:38:32 2020-12-15 22:29:36 [INFO] [TRAIN] epoch=109, iter=40270/80000, loss=0.2035, lr=0.005326, batch_cost=1.2201, reader_cost=0.0001 | ETA 13:27:53 2020-12-15 22:29:48 [INFO] [TRAIN] epoch=109, iter=40280/80000, loss=0.1870, lr=0.005325, batch_cost=1.1906, reader_cost=0.0001 | ETA 13:08:09 2020-12-15 22:30:00 [INFO] [TRAIN] epoch=109, iter=40290/80000, loss=0.1427, lr=0.005324, batch_cost=1.2202, reader_cost=0.0013 | ETA 13:27:36 2020-12-15 22:30:12 [INFO] [TRAIN] epoch=109, iter=40300/80000, loss=0.1537, lr=0.005323, batch_cost=1.1095, reader_cost=0.0019 | ETA 12:14:08 2020-12-15 22:30:24 [INFO] [TRAIN] epoch=109, iter=40310/80000, loss=0.2269, lr=0.005322, batch_cost=1.2424, reader_cost=0.0036 | ETA 13:41:49 2020-12-15 22:30:36 [INFO] [TRAIN] epoch=109, iter=40320/80000, loss=0.2568, lr=0.005320, batch_cost=1.1656, reader_cost=0.0025 | ETA 12:50:50 2020-12-15 22:30:49 [INFO] [TRAIN] epoch=109, iter=40330/80000, loss=0.2488, lr=0.005319, batch_cost=1.3011, reader_cost=0.0001 | ETA 14:20:12 2020-12-15 22:31:01 [INFO] [TRAIN] epoch=109, iter=40340/80000, loss=0.2012, lr=0.005318, batch_cost=1.1960, reader_cost=0.0019 | ETA 13:10:33 2020-12-15 22:31:13 [INFO] [TRAIN] epoch=109, iter=40350/80000, loss=0.1868, lr=0.005317, batch_cost=1.2603, reader_cost=0.0001 | ETA 13:52:51 2020-12-15 22:31:25 [INFO] [TRAIN] epoch=109, iter=40360/80000, loss=0.2206, lr=0.005316, batch_cost=1.1608, reader_cost=0.0016 | ETA 12:46:52 2020-12-15 22:31:36 [INFO] [TRAIN] epoch=109, iter=40370/80000, loss=0.1463, lr=0.005314, batch_cost=1.1391, reader_cost=0.0003 | ETA 12:32:21 2020-12-15 22:31:49 [INFO] [TRAIN] epoch=109, iter=40380/80000, loss=0.1312, lr=0.005313, batch_cost=1.3211, reader_cost=0.0013 | ETA 14:32:21 2020-12-15 22:32:00 [INFO] [TRAIN] epoch=109, iter=40390/80000, loss=0.2019, lr=0.005312, batch_cost=1.0289, reader_cost=0.0001 | ETA 11:19:15 2020-12-15 22:32:08 [INFO] [TRAIN] epoch=109, iter=40400/80000, loss=0.1653, lr=0.005311, batch_cost=0.7927, reader_cost=0.0001 | ETA 08:43:10 2020-12-15 22:32:18 [INFO] [TRAIN] epoch=109, iter=40410/80000, loss=0.1748, lr=0.005310, batch_cost=1.0401, reader_cost=0.0001 | ETA 11:26:16 2020-12-15 22:32:30 [INFO] [TRAIN] epoch=109, iter=40420/80000, loss=0.1737, lr=0.005308, batch_cost=1.1805, reader_cost=0.0002 | ETA 12:58:45 2020-12-15 22:32:43 [INFO] [TRAIN] epoch=109, iter=40430/80000, loss=0.2101, lr=0.005307, batch_cost=1.2937, reader_cost=0.0014 | ETA 14:13:13 2020-12-15 22:32:55 [INFO] [TRAIN] epoch=109, iter=40440/80000, loss=0.1338, lr=0.005306, batch_cost=1.2239, reader_cost=0.0005 | ETA 13:26:57 2020-12-15 22:33:06 [INFO] [TRAIN] epoch=109, iter=40450/80000, loss=0.1970, lr=0.005305, batch_cost=1.1112, reader_cost=0.0005 | ETA 12:12:27 2020-12-15 22:33:19 [INFO] [TRAIN] epoch=109, iter=40460/80000, loss=0.1832, lr=0.005303, batch_cost=1.3321, reader_cost=0.0007 | ETA 14:37:49 2020-12-15 22:33:31 [INFO] [TRAIN] epoch=109, iter=40470/80000, loss=0.1546, lr=0.005302, batch_cost=1.1164, reader_cost=0.0014 | ETA 12:15:30 2020-12-15 22:33:43 [INFO] [TRAIN] epoch=109, iter=40480/80000, loss=0.1646, lr=0.005301, batch_cost=1.2648, reader_cost=0.0001 | ETA 13:53:06 2020-12-15 22:33:56 [INFO] [TRAIN] epoch=109, iter=40490/80000, loss=0.1553, lr=0.005300, batch_cost=1.2447, reader_cost=0.0001 | ETA 13:39:39 2020-12-15 22:34:08 [INFO] [TRAIN] epoch=109, iter=40500/80000, loss=0.1547, lr=0.005299, batch_cost=1.2608, reader_cost=0.0001 | ETA 13:50:00 2020-12-15 22:34:20 [INFO] [TRAIN] epoch=109, iter=40510/80000, loss=0.1389, lr=0.005297, batch_cost=1.1822, reader_cost=0.0013 | ETA 12:58:04 2020-12-15 22:34:32 [INFO] [TRAIN] epoch=109, iter=40520/80000, loss=0.0989, lr=0.005296, batch_cost=1.1693, reader_cost=0.0005 | ETA 12:49:25 2020-12-15 22:34:44 [INFO] [TRAIN] epoch=109, iter=40530/80000, loss=0.2255, lr=0.005295, batch_cost=1.2322, reader_cost=0.0001 | ETA 13:30:33 2020-12-15 22:34:57 [INFO] [TRAIN] epoch=109, iter=40540/80000, loss=0.1638, lr=0.005294, batch_cost=1.2816, reader_cost=0.0017 | ETA 14:02:53 2020-12-15 22:35:09 [INFO] [TRAIN] epoch=110, iter=40550/80000, loss=0.1665, lr=0.005293, batch_cost=1.1804, reader_cost=0.0621 | ETA 12:56:08 2020-12-15 22:35:21 [INFO] [TRAIN] epoch=110, iter=40560/80000, loss=0.1783, lr=0.005291, batch_cost=1.2016, reader_cost=0.0001 | ETA 13:09:52 2020-12-15 22:35:33 [INFO] [TRAIN] epoch=110, iter=40570/80000, loss=0.1415, lr=0.005290, batch_cost=1.2194, reader_cost=0.0014 | ETA 13:21:22 2020-12-15 22:35:45 [INFO] [TRAIN] epoch=110, iter=40580/80000, loss=0.1007, lr=0.005289, batch_cost=1.1751, reader_cost=0.0002 | ETA 12:52:01 2020-12-15 22:35:57 [INFO] [TRAIN] epoch=110, iter=40590/80000, loss=0.1371, lr=0.005288, batch_cost=1.2559, reader_cost=0.0001 | ETA 13:44:56 2020-12-15 22:36:10 [INFO] [TRAIN] epoch=110, iter=40600/80000, loss=0.1609, lr=0.005287, batch_cost=1.2375, reader_cost=0.0001 | ETA 13:32:35 2020-12-15 22:36:22 [INFO] [TRAIN] epoch=110, iter=40610/80000, loss=0.1875, lr=0.005285, batch_cost=1.2142, reader_cost=0.0001 | ETA 13:17:05 2020-12-15 22:36:31 [INFO] [TRAIN] epoch=110, iter=40620/80000, loss=0.2163, lr=0.005284, batch_cost=0.9326, reader_cost=0.0001 | ETA 10:12:06 2020-12-15 22:36:40 [INFO] [TRAIN] epoch=110, iter=40630/80000, loss=0.1779, lr=0.005283, batch_cost=0.8611, reader_cost=0.0001 | ETA 09:25:00 2020-12-15 22:36:51 [INFO] [TRAIN] epoch=110, iter=40640/80000, loss=0.1579, lr=0.005282, batch_cost=1.1018, reader_cost=0.0002 | ETA 12:02:45 2020-12-15 22:37:03 [INFO] [TRAIN] epoch=110, iter=40650/80000, loss=0.1386, lr=0.005281, batch_cost=1.2289, reader_cost=0.0001 | ETA 13:25:58 2020-12-15 22:37:15 [INFO] [TRAIN] epoch=110, iter=40660/80000, loss=0.1974, lr=0.005279, batch_cost=1.1837, reader_cost=0.0025 | ETA 12:56:07 2020-12-15 22:37:27 [INFO] [TRAIN] epoch=110, iter=40670/80000, loss=0.1874, lr=0.005278, batch_cost=1.2413, reader_cost=0.0001 | ETA 13:33:38 2020-12-15 22:37:40 [INFO] [TRAIN] epoch=110, iter=40680/80000, loss=0.1342, lr=0.005277, batch_cost=1.2757, reader_cost=0.0007 | ETA 13:56:00 2020-12-15 22:37:51 [INFO] [TRAIN] epoch=110, iter=40690/80000, loss=0.1860, lr=0.005276, batch_cost=1.0807, reader_cost=0.0014 | ETA 11:48:04 2020-12-15 22:38:02 [INFO] [TRAIN] epoch=110, iter=40700/80000, loss=0.2228, lr=0.005275, batch_cost=1.1192, reader_cost=0.0014 | ETA 12:13:03 2020-12-15 22:38:15 [INFO] [TRAIN] epoch=110, iter=40710/80000, loss=0.1862, lr=0.005273, batch_cost=1.3428, reader_cost=0.0011 | ETA 14:39:19 2020-12-15 22:38:28 [INFO] [TRAIN] epoch=110, iter=40720/80000, loss=0.1324, lr=0.005272, batch_cost=1.2604, reader_cost=0.0001 | ETA 13:45:06 2020-12-15 22:38:41 [INFO] [TRAIN] epoch=110, iter=40730/80000, loss=0.1619, lr=0.005271, batch_cost=1.2472, reader_cost=0.0022 | ETA 13:36:17 2020-12-15 22:38:53 [INFO] [TRAIN] epoch=110, iter=40740/80000, loss=0.1664, lr=0.005270, batch_cost=1.2423, reader_cost=0.0012 | ETA 13:32:53 2020-12-15 22:39:04 [INFO] [TRAIN] epoch=110, iter=40750/80000, loss=0.1380, lr=0.005268, batch_cost=1.1470, reader_cost=0.0001 | ETA 12:30:18 2020-12-15 22:39:16 [INFO] [TRAIN] epoch=110, iter=40760/80000, loss=0.1504, lr=0.005267, batch_cost=1.1867, reader_cost=0.0001 | ETA 12:56:04 2020-12-15 22:39:28 [INFO] [TRAIN] epoch=110, iter=40770/80000, loss=0.1830, lr=0.005266, batch_cost=1.1815, reader_cost=0.0011 | ETA 12:52:28 2020-12-15 22:39:41 [INFO] [TRAIN] epoch=110, iter=40780/80000, loss=0.1647, lr=0.005265, batch_cost=1.2454, reader_cost=0.0071 | ETA 13:34:05 2020-12-15 22:39:52 [INFO] [TRAIN] epoch=110, iter=40790/80000, loss=0.1620, lr=0.005264, batch_cost=1.1755, reader_cost=0.0015 | ETA 12:48:11 2020-12-15 22:40:05 [INFO] [TRAIN] epoch=110, iter=40800/80000, loss=0.1327, lr=0.005262, batch_cost=1.2757, reader_cost=0.0002 | ETA 13:53:27 2020-12-15 22:40:17 [INFO] [TRAIN] epoch=110, iter=40810/80000, loss=0.2190, lr=0.005261, batch_cost=1.2324, reader_cost=0.0001 | ETA 13:24:56 2020-12-15 22:40:31 [INFO] [TRAIN] epoch=110, iter=40820/80000, loss=0.1362, lr=0.005260, batch_cost=1.3406, reader_cost=0.0001 | ETA 14:35:25 2020-12-15 22:40:43 [INFO] [TRAIN] epoch=110, iter=40830/80000, loss=0.1789, lr=0.005259, batch_cost=1.2267, reader_cost=0.0009 | ETA 13:20:49 2020-12-15 22:40:55 [INFO] [TRAIN] epoch=110, iter=40840/80000, loss=0.1969, lr=0.005258, batch_cost=1.1957, reader_cost=0.0001 | ETA 13:00:25 2020-12-15 22:41:03 [INFO] [TRAIN] epoch=110, iter=40850/80000, loss=0.1665, lr=0.005256, batch_cost=0.8133, reader_cost=0.0001 | ETA 08:50:42 2020-12-15 22:41:12 [INFO] [TRAIN] epoch=110, iter=40860/80000, loss=0.1920, lr=0.005255, batch_cost=0.8684, reader_cost=0.0001 | ETA 09:26:27 2020-12-15 22:41:22 [INFO] [TRAIN] epoch=110, iter=40870/80000, loss=0.1740, lr=0.005254, batch_cost=1.0570, reader_cost=0.0022 | ETA 11:29:19 2020-12-15 22:41:35 [INFO] [TRAIN] epoch=110, iter=40880/80000, loss=0.1814, lr=0.005253, batch_cost=1.2082, reader_cost=0.0001 | ETA 13:07:45 2020-12-15 22:41:46 [INFO] [TRAIN] epoch=110, iter=40890/80000, loss=0.1427, lr=0.005252, batch_cost=1.1600, reader_cost=0.0001 | ETA 12:36:08 2020-12-15 22:41:59 [INFO] [TRAIN] epoch=110, iter=40900/80000, loss=0.1311, lr=0.005250, batch_cost=1.3049, reader_cost=0.0006 | ETA 14:10:23 2020-12-15 22:42:11 [INFO] [TRAIN] epoch=110, iter=40910/80000, loss=0.1680, lr=0.005249, batch_cost=1.2252, reader_cost=0.0003 | ETA 13:18:12 2020-12-15 22:42:21 [INFO] [TRAIN] epoch=110, iter=40920/80000, loss=0.1341, lr=0.005248, batch_cost=0.9832, reader_cost=0.0008 | ETA 10:40:24 2020-12-15 22:42:34 [INFO] [TRAIN] epoch=111, iter=40930/80000, loss=0.2436, lr=0.005247, batch_cost=1.2831, reader_cost=0.0500 | ETA 13:55:30 2020-12-15 22:42:47 [INFO] [TRAIN] epoch=111, iter=40940/80000, loss=0.1951, lr=0.005246, batch_cost=1.3273, reader_cost=0.0001 | ETA 14:24:03 2020-12-15 22:43:00 [INFO] [TRAIN] epoch=111, iter=40950/80000, loss=0.1882, lr=0.005244, batch_cost=1.2870, reader_cost=0.0005 | ETA 13:57:37 2020-12-15 22:43:13 [INFO] [TRAIN] epoch=111, iter=40960/80000, loss=0.1256, lr=0.005243, batch_cost=1.2852, reader_cost=0.0001 | ETA 13:56:12 2020-12-15 22:43:26 [INFO] [TRAIN] epoch=111, iter=40970/80000, loss=0.1922, lr=0.005242, batch_cost=1.2957, reader_cost=0.0012 | ETA 14:02:50 2020-12-15 22:43:38 [INFO] [TRAIN] epoch=111, iter=40980/80000, loss=0.2270, lr=0.005241, batch_cost=1.2394, reader_cost=0.0010 | ETA 13:25:59 2020-12-15 22:43:50 [INFO] [TRAIN] epoch=111, iter=40990/80000, loss=0.1565, lr=0.005239, batch_cost=1.1951, reader_cost=0.0001 | ETA 12:56:59 2020-12-15 22:44:03 [INFO] [TRAIN] epoch=111, iter=41000/80000, loss=0.2351, lr=0.005238, batch_cost=1.2356, reader_cost=0.0001 | ETA 13:23:08 aug_eval False scales 1.0 2020-12-15 22:44:03 [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 2020-12-15 22:44:54 [INFO] [EVAL] #Images=500 mIoU=0.7593 Acc=0.9589 Kappa=0.9467 2020-12-15 22:44:54 [INFO] [EVAL] Class IoU: [0.981 0.8467 0.9238 0.5968 0.6169 0.5856 0.6916 0.7703 0.9221 0.6389 0.945 0.8086 0.631 0.9464 0.601 0.7537 0.7951 0.6111 0.7612] 2020-12-15 22:44:54 [INFO] [EVAL] Class Acc: [0.9917 0.9166 0.9535 0.8388 0.801 0.8005 0.834 0.9121 0.951 0.8502 0.9701 0.8854 0.7761 0.9679 0.8888 0.8129 0.9471 0.7189 0.8479] 2020-12-15 22:45:00 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 22:45:11 [INFO] [TRAIN] epoch=111, iter=41010/80000, loss=0.2056, lr=0.005237, batch_cost=1.1207, reader_cost=0.0001 | ETA 12:08:14 2020-12-15 22:45:24 [INFO] [TRAIN] epoch=111, iter=41020/80000, loss=0.1521, lr=0.005236, batch_cost=1.2595, reader_cost=0.0001 | ETA 13:38:16 2020-12-15 22:45:34 [INFO] [TRAIN] epoch=111, iter=41030/80000, loss=0.1655, lr=0.005235, batch_cost=1.0095, reader_cost=0.0001 | ETA 10:55:41 2020-12-15 22:45:42 [INFO] [TRAIN] epoch=111, iter=41040/80000, loss=0.2341, lr=0.005233, batch_cost=0.8177, reader_cost=0.0001 | ETA 08:50:56 2020-12-15 22:45:51 [INFO] [TRAIN] epoch=111, iter=41050/80000, loss=0.1564, lr=0.005232, batch_cost=0.9051, reader_cost=0.0004 | ETA 09:47:34 2020-12-15 22:46:02 [INFO] [TRAIN] epoch=111, iter=41060/80000, loss=0.1559, lr=0.005231, batch_cost=1.0995, reader_cost=0.0020 | ETA 11:53:36 2020-12-15 22:46:14 [INFO] [TRAIN] epoch=111, iter=41070/80000, loss=0.3937, lr=0.005230, batch_cost=1.1554, reader_cost=0.0001 | ETA 12:29:40 2020-12-15 22:46:24 [INFO] [TRAIN] epoch=111, iter=41080/80000, loss=0.1581, lr=0.005229, batch_cost=1.0825, reader_cost=0.0001 | ETA 11:42:10 2020-12-15 22:46:36 [INFO] [TRAIN] epoch=111, iter=41090/80000, loss=0.1551, lr=0.005227, batch_cost=1.1441, reader_cost=0.0020 | ETA 12:21:55 2020-12-15 22:46:48 [INFO] [TRAIN] epoch=111, iter=41100/80000, loss=0.1363, lr=0.005226, batch_cost=1.1996, reader_cost=0.0023 | ETA 12:57:45 2020-12-15 22:47:00 [INFO] [TRAIN] epoch=111, iter=41110/80000, loss=0.1953, lr=0.005225, batch_cost=1.1762, reader_cost=0.0009 | ETA 12:42:23 2020-12-15 22:47:11 [INFO] [TRAIN] epoch=111, iter=41120/80000, loss=0.1786, lr=0.005224, batch_cost=1.1805, reader_cost=0.0001 | ETA 12:44:59 2020-12-15 22:47:24 [INFO] [TRAIN] epoch=111, iter=41130/80000, loss=0.1927, lr=0.005223, batch_cost=1.2956, reader_cost=0.0008 | ETA 13:59:21 2020-12-15 22:47:36 [INFO] [TRAIN] epoch=111, iter=41140/80000, loss=0.1430, lr=0.005221, batch_cost=1.1319, reader_cost=0.0022 | ETA 12:13:07 2020-12-15 22:47:48 [INFO] [TRAIN] epoch=111, iter=41150/80000, loss=0.1516, lr=0.005220, batch_cost=1.2154, reader_cost=0.0001 | ETA 13:06:59 2020-12-15 22:48:01 [INFO] [TRAIN] epoch=111, iter=41160/80000, loss=0.1975, lr=0.005219, batch_cost=1.2801, reader_cost=0.0001 | ETA 13:48:37 2020-12-15 22:48:13 [INFO] [TRAIN] epoch=111, iter=41170/80000, loss=0.1707, lr=0.005218, batch_cost=1.2730, reader_cost=0.0015 | ETA 13:43:48 2020-12-15 22:48:26 [INFO] [TRAIN] epoch=111, iter=41180/80000, loss=0.1582, lr=0.005216, batch_cost=1.2517, reader_cost=0.0001 | ETA 13:29:52 2020-12-15 22:48:37 [INFO] [TRAIN] epoch=111, iter=41190/80000, loss=0.2445, lr=0.005215, batch_cost=1.1113, reader_cost=0.0001 | ETA 11:58:50 2020-12-15 22:48:48 [INFO] [TRAIN] epoch=111, iter=41200/80000, loss=0.1543, lr=0.005214, batch_cost=1.1197, reader_cost=0.0009 | ETA 12:04:05 2020-12-15 22:49:01 [INFO] [TRAIN] epoch=111, iter=41210/80000, loss=0.2022, lr=0.005213, batch_cost=1.3209, reader_cost=0.0001 | ETA 14:13:59 2020-12-15 22:49:13 [INFO] [TRAIN] epoch=111, iter=41220/80000, loss=0.1069, lr=0.005212, batch_cost=1.1830, reader_cost=0.0024 | ETA 12:44:37 2020-12-15 22:49:24 [INFO] [TRAIN] epoch=111, iter=41230/80000, loss=0.1949, lr=0.005210, batch_cost=1.1216, reader_cost=0.0013 | ETA 12:04:44 2020-12-15 22:49:33 [INFO] [TRAIN] epoch=111, iter=41240/80000, loss=0.1775, lr=0.005209, batch_cost=0.8286, reader_cost=0.0001 | ETA 08:55:17 2020-12-15 22:49:41 [INFO] [TRAIN] epoch=111, iter=41250/80000, loss=0.1416, lr=0.005208, batch_cost=0.8296, reader_cost=0.0003 | ETA 08:55:47 2020-12-15 22:49:49 [INFO] [TRAIN] epoch=111, iter=41260/80000, loss=0.2420, lr=0.005207, batch_cost=0.8075, reader_cost=0.0001 | ETA 08:41:21 2020-12-15 22:49:57 [INFO] [TRAIN] epoch=111, iter=41270/80000, loss=0.1240, lr=0.005206, batch_cost=0.7955, reader_cost=0.0001 | ETA 08:33:28 2020-12-15 22:50:07 [INFO] [TRAIN] epoch=111, iter=41280/80000, loss=0.1445, lr=0.005204, batch_cost=0.9967, reader_cost=0.0008 | ETA 10:43:12 2020-12-15 22:50:19 [INFO] [TRAIN] epoch=111, iter=41290/80000, loss=0.1589, lr=0.005203, batch_cost=1.1466, reader_cost=0.0005 | ETA 12:19:46 2020-12-15 22:50:31 [INFO] [TRAIN] epoch=112, iter=41300/80000, loss=0.1760, lr=0.005202, batch_cost=1.2430, reader_cost=0.0756 | ETA 13:21:45 2020-12-15 22:50:43 [INFO] [TRAIN] epoch=112, iter=41310/80000, loss=0.1655, lr=0.005201, batch_cost=1.1669, reader_cost=0.0013 | ETA 12:32:25 2020-12-15 22:50:51 [INFO] [TRAIN] epoch=112, iter=41320/80000, loss=0.1461, lr=0.005200, batch_cost=0.8009, reader_cost=0.0001 | ETA 08:36:19 2020-12-15 22:51:00 [INFO] [TRAIN] epoch=112, iter=41330/80000, loss=0.1188, lr=0.005198, batch_cost=0.9000, reader_cost=0.0001 | ETA 09:40:01 2020-12-15 22:51:10 [INFO] [TRAIN] epoch=112, iter=41340/80000, loss=0.1278, lr=0.005197, batch_cost=0.9951, reader_cost=0.0001 | ETA 10:41:09 2020-12-15 22:51:22 [INFO] [TRAIN] epoch=112, iter=41350/80000, loss=0.1376, lr=0.005196, batch_cost=1.1920, reader_cost=0.0010 | ETA 12:47:51 2020-12-15 22:51:34 [INFO] [TRAIN] epoch=112, iter=41360/80000, loss=0.1656, lr=0.005195, batch_cost=1.2070, reader_cost=0.0005 | ETA 12:57:19 2020-12-15 22:51:45 [INFO] [TRAIN] epoch=112, iter=41370/80000, loss=0.2215, lr=0.005194, batch_cost=1.1683, reader_cost=0.0038 | ETA 12:32:11 2020-12-15 22:51:57 [INFO] [TRAIN] epoch=112, iter=41380/80000, loss=0.1838, lr=0.005192, batch_cost=1.1649, reader_cost=0.0010 | ETA 12:29:48 2020-12-15 22:52:09 [INFO] [TRAIN] epoch=112, iter=41390/80000, loss=0.1822, lr=0.005191, batch_cost=1.2325, reader_cost=0.0002 | ETA 13:13:07 2020-12-15 22:52:20 [INFO] [TRAIN] epoch=112, iter=41400/80000, loss=0.1566, lr=0.005190, batch_cost=1.0476, reader_cost=0.0005 | ETA 11:13:57 2020-12-15 22:52:31 [INFO] [TRAIN] epoch=112, iter=41410/80000, loss=0.1540, lr=0.005189, batch_cost=1.1546, reader_cost=0.0009 | ETA 12:22:34 2020-12-15 22:52:43 [INFO] [TRAIN] epoch=112, iter=41420/80000, loss=0.1704, lr=0.005187, batch_cost=1.1797, reader_cost=0.0006 | ETA 12:38:33 2020-12-15 22:52:56 [INFO] [TRAIN] epoch=112, iter=41430/80000, loss=0.1232, lr=0.005186, batch_cost=1.2450, reader_cost=0.0001 | ETA 13:20:20 2020-12-15 22:53:06 [INFO] [TRAIN] epoch=112, iter=41440/80000, loss=0.1397, lr=0.005185, batch_cost=1.0864, reader_cost=0.0001 | ETA 11:38:12 2020-12-15 22:53:18 [INFO] [TRAIN] epoch=112, iter=41450/80000, loss=0.1886, lr=0.005184, batch_cost=1.1895, reader_cost=0.0001 | ETA 12:44:14 2020-12-15 22:53:30 [INFO] [TRAIN] epoch=112, iter=41460/80000, loss=0.2173, lr=0.005183, batch_cost=1.1716, reader_cost=0.0028 | ETA 12:32:33 2020-12-15 22:53:43 [INFO] [TRAIN] epoch=112, iter=41470/80000, loss=0.1841, lr=0.005181, batch_cost=1.2563, reader_cost=0.0031 | ETA 13:26:44 2020-12-15 22:53:55 [INFO] [TRAIN] epoch=112, iter=41480/80000, loss=0.1606, lr=0.005180, batch_cost=1.2194, reader_cost=0.0006 | ETA 13:02:50 2020-12-15 22:54:07 [INFO] [TRAIN] epoch=112, iter=41490/80000, loss=0.2728, lr=0.005179, batch_cost=1.1937, reader_cost=0.0023 | ETA 12:46:09 2020-12-15 22:54:19 [INFO] [TRAIN] epoch=112, iter=41500/80000, loss=0.2124, lr=0.005178, batch_cost=1.2359, reader_cost=0.0003 | ETA 13:13:00 2020-12-15 22:54:31 [INFO] [TRAIN] epoch=112, iter=41510/80000, loss=0.1190, lr=0.005177, batch_cost=1.1512, reader_cost=0.0014 | ETA 12:18:29 2020-12-15 22:54:42 [INFO] [TRAIN] epoch=112, iter=41520/80000, loss=0.1366, lr=0.005175, batch_cost=1.1378, reader_cost=0.0001 | ETA 12:09:44 2020-12-15 22:54:54 [INFO] [TRAIN] epoch=112, iter=41530/80000, loss=0.1529, lr=0.005174, batch_cost=1.1771, reader_cost=0.0001 | ETA 12:34:42 2020-12-15 22:55:08 [INFO] [TRAIN] epoch=112, iter=41540/80000, loss=0.1950, lr=0.005173, batch_cost=1.4321, reader_cost=0.0004 | ETA 15:17:58 2020-12-15 22:55:19 [INFO] [TRAIN] epoch=112, iter=41550/80000, loss=0.1443, lr=0.005172, batch_cost=1.0612, reader_cost=0.0001 | ETA 11:20:01 2020-12-15 22:55:27 [INFO] [TRAIN] epoch=112, iter=41560/80000, loss=0.1851, lr=0.005171, batch_cost=0.8321, reader_cost=0.0001 | ETA 08:53:06 2020-12-15 22:55:37 [INFO] [TRAIN] epoch=112, iter=41570/80000, loss=0.1408, lr=0.005169, batch_cost=0.9900, reader_cost=0.0028 | ETA 10:34:04 2020-12-15 22:55:49 [INFO] [TRAIN] epoch=112, iter=41580/80000, loss=0.1499, lr=0.005168, batch_cost=1.2279, reader_cost=0.0018 | ETA 13:06:17 2020-12-15 22:56:02 [INFO] [TRAIN] epoch=112, iter=41590/80000, loss=0.1417, lr=0.005167, batch_cost=1.3241, reader_cost=0.0026 | ETA 14:07:38 2020-12-15 22:56:14 [INFO] [TRAIN] epoch=112, iter=41600/80000, loss=0.2101, lr=0.005166, batch_cost=1.1854, reader_cost=0.0014 | ETA 12:38:39 2020-12-15 22:56:27 [INFO] [TRAIN] epoch=112, iter=41610/80000, loss=0.1736, lr=0.005164, batch_cost=1.2803, reader_cost=0.0005 | ETA 13:39:09 2020-12-15 22:56:39 [INFO] [TRAIN] epoch=112, iter=41620/80000, loss=0.1689, lr=0.005163, batch_cost=1.2330, reader_cost=0.0001 | ETA 13:08:43 2020-12-15 22:56:51 [INFO] [TRAIN] epoch=112, iter=41630/80000, loss=0.1846, lr=0.005162, batch_cost=1.1933, reader_cost=0.0033 | ETA 12:43:08 2020-12-15 22:57:04 [INFO] [TRAIN] epoch=112, iter=41640/80000, loss=0.1338, lr=0.005161, batch_cost=1.2654, reader_cost=0.0005 | ETA 13:28:59 2020-12-15 22:57:16 [INFO] [TRAIN] epoch=112, iter=41650/80000, loss=0.1721, lr=0.005160, batch_cost=1.1901, reader_cost=0.0005 | ETA 12:40:38 2020-12-15 22:57:27 [INFO] [TRAIN] epoch=112, iter=41660/80000, loss=0.1620, lr=0.005158, batch_cost=1.1185, reader_cost=0.0008 | ETA 11:54:42 2020-12-15 22:57:39 [INFO] [TRAIN] epoch=113, iter=41670/80000, loss=0.2062, lr=0.005157, batch_cost=1.1617, reader_cost=0.0713 | ETA 12:22:07 2020-12-15 22:57:50 [INFO] [TRAIN] epoch=113, iter=41680/80000, loss=0.1614, lr=0.005156, batch_cost=1.1182, reader_cost=0.0013 | ETA 11:54:11 2020-12-15 22:58:02 [INFO] [TRAIN] epoch=113, iter=41690/80000, loss=0.1534, lr=0.005155, batch_cost=1.2250, reader_cost=0.0003 | ETA 13:02:09 2020-12-15 22:58:14 [INFO] [TRAIN] epoch=113, iter=41700/80000, loss=0.1818, lr=0.005154, batch_cost=1.1553, reader_cost=0.0001 | ETA 12:17:29 2020-12-15 22:58:27 [INFO] [TRAIN] epoch=113, iter=41710/80000, loss=0.1450, lr=0.005152, batch_cost=1.3060, reader_cost=0.0031 | ETA 13:53:26 2020-12-15 22:58:38 [INFO] [TRAIN] epoch=113, iter=41720/80000, loss=0.1131, lr=0.005151, batch_cost=1.1513, reader_cost=0.0001 | ETA 12:14:30 2020-12-15 22:58:50 [INFO] [TRAIN] epoch=113, iter=41730/80000, loss=0.1226, lr=0.005150, batch_cost=1.2021, reader_cost=0.0017 | ETA 12:46:45 2020-12-15 22:59:03 [INFO] [TRAIN] epoch=113, iter=41740/80000, loss=0.2028, lr=0.005149, batch_cost=1.2611, reader_cost=0.0018 | ETA 13:24:09 2020-12-15 22:59:15 [INFO] [TRAIN] epoch=113, iter=41750/80000, loss=0.1710, lr=0.005148, batch_cost=1.2463, reader_cost=0.0022 | ETA 13:14:31 2020-12-15 22:59:28 [INFO] [TRAIN] epoch=113, iter=41760/80000, loss=0.1856, lr=0.005146, batch_cost=1.2863, reader_cost=0.0006 | ETA 13:39:48 2020-12-15 22:59:41 [INFO] [TRAIN] epoch=113, iter=41770/80000, loss=0.1266, lr=0.005145, batch_cost=1.2934, reader_cost=0.0001 | ETA 13:44:08 2020-12-15 22:59:51 [INFO] [TRAIN] epoch=113, iter=41780/80000, loss=0.2008, lr=0.005144, batch_cost=1.0006, reader_cost=0.0038 | ETA 10:37:24 2020-12-15 22:59:59 [INFO] [TRAIN] epoch=113, iter=41790/80000, loss=0.1355, lr=0.005143, batch_cost=0.8111, reader_cost=0.0001 | ETA 08:36:31 2020-12-15 23:00:10 [INFO] [TRAIN] epoch=113, iter=41800/80000, loss=0.1640, lr=0.005141, batch_cost=1.0347, reader_cost=0.0003 | ETA 10:58:44 2020-12-15 23:00:23 [INFO] [TRAIN] epoch=113, iter=41810/80000, loss=0.1911, lr=0.005140, batch_cost=1.3321, reader_cost=0.0011 | ETA 14:07:54 2020-12-15 23:00:35 [INFO] [TRAIN] epoch=113, iter=41820/80000, loss=0.1974, lr=0.005139, batch_cost=1.2537, reader_cost=0.0004 | ETA 13:17:44 2020-12-15 23:00:48 [INFO] [TRAIN] epoch=113, iter=41830/80000, loss=0.1291, lr=0.005138, batch_cost=1.2658, reader_cost=0.0012 | ETA 13:25:14 2020-12-15 23:01:00 [INFO] [TRAIN] epoch=113, iter=41840/80000, loss=0.1447, lr=0.005137, batch_cost=1.2118, reader_cost=0.0011 | ETA 12:50:40 2020-12-15 23:01:14 [INFO] [TRAIN] epoch=113, iter=41850/80000, loss=0.1840, lr=0.005135, batch_cost=1.3685, reader_cost=0.0023 | ETA 14:30:08 2020-12-15 23:01:27 [INFO] [TRAIN] epoch=113, iter=41860/80000, loss=0.1458, lr=0.005134, batch_cost=1.2789, reader_cost=0.0005 | ETA 13:32:57 2020-12-15 23:01:40 [INFO] [TRAIN] epoch=113, iter=41870/80000, loss=0.2242, lr=0.005133, batch_cost=1.2862, reader_cost=0.0001 | ETA 13:37:21 2020-12-15 23:01:52 [INFO] [TRAIN] epoch=113, iter=41880/80000, loss=0.1667, lr=0.005132, batch_cost=1.2252, reader_cost=0.0067 | ETA 12:58:25 2020-12-15 23:02:04 [INFO] [TRAIN] epoch=113, iter=41890/80000, loss=0.1837, lr=0.005131, batch_cost=1.2183, reader_cost=0.0004 | ETA 12:53:48 2020-12-15 23:02:17 [INFO] [TRAIN] epoch=113, iter=41900/80000, loss=0.1829, lr=0.005129, batch_cost=1.3416, reader_cost=0.0011 | ETA 14:11:54 2020-12-15 23:02:30 [INFO] [TRAIN] epoch=113, iter=41910/80000, loss=0.1291, lr=0.005128, batch_cost=1.2123, reader_cost=0.0003 | ETA 12:49:34 2020-12-15 23:02:42 [INFO] [TRAIN] epoch=113, iter=41920/80000, loss=0.1799, lr=0.005127, batch_cost=1.2623, reader_cost=0.0001 | ETA 13:21:09 2020-12-15 23:02:55 [INFO] [TRAIN] epoch=113, iter=41930/80000, loss=0.1291, lr=0.005126, batch_cost=1.2538, reader_cost=0.0002 | ETA 13:15:30 2020-12-15 23:03:07 [INFO] [TRAIN] epoch=113, iter=41940/80000, loss=0.1283, lr=0.005124, batch_cost=1.2278, reader_cost=0.0011 | ETA 12:58:51 2020-12-15 23:03:19 [INFO] [TRAIN] epoch=113, iter=41950/80000, loss=0.1577, lr=0.005123, batch_cost=1.2118, reader_cost=0.0026 | ETA 12:48:30 2020-12-15 23:03:31 [INFO] [TRAIN] epoch=113, iter=41960/80000, loss=0.1412, lr=0.005122, batch_cost=1.2277, reader_cost=0.0016 | ETA 12:58:21 2020-12-15 23:03:44 [INFO] [TRAIN] epoch=113, iter=41970/80000, loss=0.1927, lr=0.005121, batch_cost=1.2246, reader_cost=0.0010 | ETA 12:56:11 2020-12-15 23:03:55 [INFO] [TRAIN] epoch=113, iter=41980/80000, loss=0.1819, lr=0.005120, batch_cost=1.1679, reader_cost=0.0009 | ETA 12:20:04 2020-12-15 23:04:07 [INFO] [TRAIN] epoch=113, iter=41990/80000, loss=0.1252, lr=0.005118, batch_cost=1.1336, reader_cost=0.0001 | ETA 11:58:06 2020-12-15 23:04:19 [INFO] [TRAIN] epoch=113, iter=42000/80000, loss=0.2348, lr=0.005117, batch_cost=1.1827, reader_cost=0.0005 | ETA 12:29:03 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 23:04:19 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-15 23:05:09 [INFO] [EVAL] #Images=500 mIoU=0.7709 Acc=0.9596 Kappa=0.9476 2020-12-15 23:05:09 [INFO] [EVAL] Class IoU: [0.9821 0.8527 0.9233 0.5566 0.6128 0.6047 0.6975 0.7753 0.9224 0.649 0.9392 0.8038 0.6093 0.9482 0.7171 0.8712 0.7696 0.65 0.7632] 2020-12-15 23:05:09 [INFO] [EVAL] Class Acc: [0.9924 0.9147 0.9518 0.8994 0.786 0.7632 0.8017 0.8794 0.959 0.8543 0.9665 0.875 0.7557 0.9714 0.8105 0.9072 0.91 0.8282 0.8808] 2020-12-15 23:05:16 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 23:05:28 [INFO] [TRAIN] epoch=113, iter=42010/80000, loss=0.1878, lr=0.005116, batch_cost=1.2498, reader_cost=0.0011 | ETA 13:11:20 2020-12-15 23:05:41 [INFO] [TRAIN] epoch=113, iter=42020/80000, loss=0.1866, lr=0.005115, batch_cost=1.2698, reader_cost=0.0013 | ETA 13:23:47 2020-12-15 23:05:53 [INFO] [TRAIN] epoch=113, iter=42030/80000, loss=0.2188, lr=0.005114, batch_cost=1.1915, reader_cost=0.0001 | ETA 12:34:00 2020-12-15 23:06:04 [INFO] [TRAIN] epoch=114, iter=42040/80000, loss=0.2010, lr=0.005112, batch_cost=1.1418, reader_cost=0.0765 | ETA 12:02:22 2020-12-15 23:06:17 [INFO] [TRAIN] epoch=114, iter=42050/80000, loss=0.2376, lr=0.005111, batch_cost=1.2710, reader_cost=0.0001 | ETA 13:23:53 2020-12-15 23:06:29 [INFO] [TRAIN] epoch=114, iter=42060/80000, loss=0.1428, lr=0.005110, batch_cost=1.2125, reader_cost=0.0006 | ETA 12:46:43 2020-12-15 23:06:41 [INFO] [TRAIN] epoch=114, iter=42070/80000, loss=0.2149, lr=0.005109, batch_cost=1.2283, reader_cost=0.0008 | ETA 12:56:28 2020-12-15 23:06:55 [INFO] [TRAIN] epoch=114, iter=42080/80000, loss=0.1755, lr=0.005108, batch_cost=1.3374, reader_cost=0.0002 | ETA 14:05:12 2020-12-15 23:07:07 [INFO] [TRAIN] epoch=114, iter=42090/80000, loss=0.1794, lr=0.005106, batch_cost=1.2540, reader_cost=0.0006 | ETA 13:12:17 2020-12-15 23:07:20 [INFO] [TRAIN] epoch=114, iter=42100/80000, loss=0.1727, lr=0.005105, batch_cost=1.2909, reader_cost=0.0016 | ETA 13:35:23 2020-12-15 23:07:32 [INFO] [TRAIN] epoch=114, iter=42110/80000, loss=0.1587, lr=0.005104, batch_cost=1.2144, reader_cost=0.0001 | ETA 12:46:53 2020-12-15 23:07:43 [INFO] [TRAIN] epoch=114, iter=42120/80000, loss=0.1621, lr=0.005103, batch_cost=1.0756, reader_cost=0.0014 | ETA 11:19:05 2020-12-15 23:07:56 [INFO] [TRAIN] epoch=114, iter=42130/80000, loss=0.1247, lr=0.005101, batch_cost=1.2652, reader_cost=0.0001 | ETA 13:18:34 2020-12-15 23:08:08 [INFO] [TRAIN] epoch=114, iter=42140/80000, loss=0.1321, lr=0.005100, batch_cost=1.2597, reader_cost=0.0039 | ETA 13:14:51 2020-12-15 23:08:20 [INFO] [TRAIN] epoch=114, iter=42150/80000, loss=0.2604, lr=0.005099, batch_cost=1.1847, reader_cost=0.0019 | ETA 12:27:22 2020-12-15 23:08:33 [INFO] [TRAIN] epoch=114, iter=42160/80000, loss=0.1407, lr=0.005098, batch_cost=1.2608, reader_cost=0.0004 | ETA 13:15:09 2020-12-15 23:08:45 [INFO] [TRAIN] epoch=114, iter=42170/80000, loss=0.1512, lr=0.005097, batch_cost=1.2543, reader_cost=0.0002 | ETA 13:10:51 2020-12-15 23:08:56 [INFO] [TRAIN] epoch=114, iter=42180/80000, loss=0.1692, lr=0.005095, batch_cost=1.0554, reader_cost=0.0001 | ETA 11:05:17 2020-12-15 23:09:04 [INFO] [TRAIN] epoch=114, iter=42190/80000, loss=0.2167, lr=0.005094, batch_cost=0.8214, reader_cost=0.0001 | ETA 08:37:37 2020-12-15 23:09:14 [INFO] [TRAIN] epoch=114, iter=42200/80000, loss=0.1246, lr=0.005093, batch_cost=0.9483, reader_cost=0.0005 | ETA 09:57:26 2020-12-15 23:09:26 [INFO] [TRAIN] epoch=114, iter=42210/80000, loss=0.1680, lr=0.005092, batch_cost=1.2371, reader_cost=0.0001 | ETA 12:59:08 2020-12-15 23:09:37 [INFO] [TRAIN] epoch=114, iter=42220/80000, loss=0.1399, lr=0.005091, batch_cost=1.1192, reader_cost=0.0034 | ETA 11:44:43 2020-12-15 23:09:49 [INFO] [TRAIN] epoch=114, iter=42230/80000, loss=0.2071, lr=0.005089, batch_cost=1.1698, reader_cost=0.0015 | ETA 12:16:23 2020-12-15 23:10:00 [INFO] [TRAIN] epoch=114, iter=42240/80000, loss=0.1290, lr=0.005088, batch_cost=1.1473, reader_cost=0.0006 | ETA 12:02:03 2020-12-15 23:10:13 [INFO] [TRAIN] epoch=114, iter=42250/80000, loss=0.1285, lr=0.005087, batch_cost=1.2306, reader_cost=0.0009 | ETA 12:54:16 2020-12-15 23:10:24 [INFO] [TRAIN] epoch=114, iter=42260/80000, loss=0.1844, lr=0.005086, batch_cost=1.1030, reader_cost=0.0008 | ETA 11:33:45 2020-12-15 23:10:36 [INFO] [TRAIN] epoch=114, iter=42270/80000, loss=0.1722, lr=0.005084, batch_cost=1.2180, reader_cost=0.0001 | ETA 12:45:54 2020-12-15 23:10:48 [INFO] [TRAIN] epoch=114, iter=42280/80000, loss=0.1613, lr=0.005083, batch_cost=1.1674, reader_cost=0.0008 | ETA 12:13:52 2020-12-15 23:10:59 [INFO] [TRAIN] epoch=114, iter=42290/80000, loss=0.1438, lr=0.005082, batch_cost=1.1450, reader_cost=0.0001 | ETA 11:59:36 2020-12-15 23:11:12 [INFO] [TRAIN] epoch=114, iter=42300/80000, loss=0.1955, lr=0.005081, batch_cost=1.2882, reader_cost=0.0007 | ETA 13:29:24 2020-12-15 23:11:25 [INFO] [TRAIN] epoch=114, iter=42310/80000, loss=0.2211, lr=0.005080, batch_cost=1.2690, reader_cost=0.0025 | ETA 13:17:08 2020-12-15 23:11:36 [INFO] [TRAIN] epoch=114, iter=42320/80000, loss=0.2184, lr=0.005078, batch_cost=1.1667, reader_cost=0.0021 | ETA 12:12:40 2020-12-15 23:11:49 [INFO] [TRAIN] epoch=114, iter=42330/80000, loss=0.1520, lr=0.005077, batch_cost=1.2322, reader_cost=0.0017 | ETA 12:53:37 2020-12-15 23:12:01 [INFO] [TRAIN] epoch=114, iter=42340/80000, loss=0.1461, lr=0.005076, batch_cost=1.2794, reader_cost=0.0071 | ETA 13:23:02 2020-12-15 23:12:14 [INFO] [TRAIN] epoch=114, iter=42350/80000, loss=0.1433, lr=0.005075, batch_cost=1.2520, reader_cost=0.0001 | ETA 13:05:36 2020-12-15 23:12:26 [INFO] [TRAIN] epoch=114, iter=42360/80000, loss=0.1646, lr=0.005074, batch_cost=1.2621, reader_cost=0.0002 | ETA 13:11:44 2020-12-15 23:12:40 [INFO] [TRAIN] epoch=114, iter=42370/80000, loss=0.2032, lr=0.005072, batch_cost=1.3680, reader_cost=0.0001 | ETA 14:17:56 2020-12-15 23:12:52 [INFO] [TRAIN] epoch=114, iter=42380/80000, loss=0.1541, lr=0.005071, batch_cost=1.1453, reader_cost=0.0001 | ETA 11:58:05 2020-12-15 23:13:04 [INFO] [TRAIN] epoch=114, iter=42390/80000, loss=0.1894, lr=0.005070, batch_cost=1.2157, reader_cost=0.0004 | ETA 12:42:03 2020-12-15 23:13:15 [INFO] [TRAIN] epoch=114, iter=42400/80000, loss=0.1192, lr=0.005069, batch_cost=1.1264, reader_cost=0.0005 | ETA 11:45:52 2020-12-15 23:13:25 [INFO] [TRAIN] epoch=115, iter=42410/80000, loss=0.1692, lr=0.005068, batch_cost=1.0275, reader_cost=0.0666 | ETA 10:43:42 2020-12-15 23:13:34 [INFO] [TRAIN] epoch=115, iter=42420/80000, loss=0.1336, lr=0.005066, batch_cost=0.8701, reader_cost=0.0001 | ETA 09:04:57 2020-12-15 23:13:43 [INFO] [TRAIN] epoch=115, iter=42430/80000, loss=0.1918, lr=0.005065, batch_cost=0.9113, reader_cost=0.0001 | ETA 09:30:36 2020-12-15 23:13:54 [INFO] [TRAIN] epoch=115, iter=42440/80000, loss=0.1253, lr=0.005064, batch_cost=1.0544, reader_cost=0.0005 | ETA 11:00:02 2020-12-15 23:14:07 [INFO] [TRAIN] epoch=115, iter=42450/80000, loss=0.1756, lr=0.005063, batch_cost=1.3041, reader_cost=0.0015 | ETA 13:36:09 2020-12-15 23:14:19 [INFO] [TRAIN] epoch=115, iter=42460/80000, loss=0.1607, lr=0.005061, batch_cost=1.2216, reader_cost=0.0022 | ETA 12:44:20 2020-12-15 23:14:30 [INFO] [TRAIN] epoch=115, iter=42470/80000, loss=0.1667, lr=0.005060, batch_cost=1.1354, reader_cost=0.0002 | ETA 11:50:11 2020-12-15 23:14:39 [INFO] [TRAIN] epoch=115, iter=42480/80000, loss=0.1707, lr=0.005059, batch_cost=0.8337, reader_cost=0.0001 | ETA 08:41:20 2020-12-15 23:14:47 [INFO] [TRAIN] epoch=115, iter=42490/80000, loss=0.1565, lr=0.005058, batch_cost=0.8042, reader_cost=0.0001 | ETA 08:22:45 2020-12-15 23:14:55 [INFO] [TRAIN] epoch=115, iter=42500/80000, loss=0.1468, lr=0.005057, batch_cost=0.7976, reader_cost=0.0001 | ETA 08:18:28 2020-12-15 23:15:03 [INFO] [TRAIN] epoch=115, iter=42510/80000, loss=0.1899, lr=0.005055, batch_cost=0.8179, reader_cost=0.0001 | ETA 08:31:04 2020-12-15 23:15:15 [INFO] [TRAIN] epoch=115, iter=42520/80000, loss=0.1652, lr=0.005054, batch_cost=1.2536, reader_cost=0.0014 | ETA 13:03:04 2020-12-15 23:15:27 [INFO] [TRAIN] epoch=115, iter=42530/80000, loss=0.1382, lr=0.005053, batch_cost=1.1655, reader_cost=0.0010 | ETA 12:07:49 2020-12-15 23:15:39 [INFO] [TRAIN] epoch=115, iter=42540/80000, loss=0.1522, lr=0.005052, batch_cost=1.1896, reader_cost=0.0002 | ETA 12:22:42 2020-12-15 23:15:51 [INFO] [TRAIN] epoch=115, iter=42550/80000, loss=0.1438, lr=0.005051, batch_cost=1.1964, reader_cost=0.0001 | ETA 12:26:45 2020-12-15 23:16:03 [INFO] [TRAIN] epoch=115, iter=42560/80000, loss=0.1540, lr=0.005049, batch_cost=1.1777, reader_cost=0.0001 | ETA 12:14:54 2020-12-15 23:16:16 [INFO] [TRAIN] epoch=115, iter=42570/80000, loss=0.1390, lr=0.005048, batch_cost=1.3697, reader_cost=0.0031 | ETA 14:14:29 2020-12-15 23:16:28 [INFO] [TRAIN] epoch=115, iter=42580/80000, loss=0.1357, lr=0.005047, batch_cost=1.1565, reader_cost=0.0033 | ETA 12:01:15 2020-12-15 23:16:39 [INFO] [TRAIN] epoch=115, iter=42590/80000, loss=0.2371, lr=0.005046, batch_cost=1.1060, reader_cost=0.0001 | ETA 11:29:36 2020-12-15 23:16:50 [INFO] [TRAIN] epoch=115, iter=42600/80000, loss=0.1621, lr=0.005044, batch_cost=1.1397, reader_cost=0.0005 | ETA 11:50:23 2020-12-15 23:17:02 [INFO] [TRAIN] epoch=115, iter=42610/80000, loss=0.1800, lr=0.005043, batch_cost=1.1344, reader_cost=0.0001 | ETA 11:46:54 2020-12-15 23:17:15 [INFO] [TRAIN] epoch=115, iter=42620/80000, loss=0.1994, lr=0.005042, batch_cost=1.2803, reader_cost=0.0006 | ETA 13:17:37 2020-12-15 23:17:27 [INFO] [TRAIN] epoch=115, iter=42630/80000, loss=0.1371, lr=0.005041, batch_cost=1.2317, reader_cost=0.0016 | ETA 12:47:10 2020-12-15 23:17:39 [INFO] [TRAIN] epoch=115, iter=42640/80000, loss=0.1600, lr=0.005040, batch_cost=1.2163, reader_cost=0.0001 | ETA 12:37:20 2020-12-15 23:17:50 [INFO] [TRAIN] epoch=115, iter=42650/80000, loss=0.1191, lr=0.005038, batch_cost=1.1438, reader_cost=0.0008 | ETA 11:52:01 2020-12-15 23:18:02 [INFO] [TRAIN] epoch=115, iter=42660/80000, loss=0.1507, lr=0.005037, batch_cost=1.1363, reader_cost=0.0001 | ETA 11:47:08 2020-12-15 23:18:14 [INFO] [TRAIN] epoch=115, iter=42670/80000, loss=0.1311, lr=0.005036, batch_cost=1.1993, reader_cost=0.0019 | ETA 12:26:09 2020-12-15 23:18:27 [INFO] [TRAIN] epoch=115, iter=42680/80000, loss=0.1336, lr=0.005035, batch_cost=1.3153, reader_cost=0.0001 | ETA 13:38:05 2020-12-15 23:18:35 [INFO] [TRAIN] epoch=115, iter=42690/80000, loss=0.1279, lr=0.005034, batch_cost=0.8309, reader_cost=0.0001 | ETA 08:36:40 2020-12-15 23:18:44 [INFO] [TRAIN] epoch=115, iter=42700/80000, loss=0.2052, lr=0.005032, batch_cost=0.8754, reader_cost=0.0001 | ETA 09:04:10 2020-12-15 23:18:54 [INFO] [TRAIN] epoch=115, iter=42710/80000, loss=0.2070, lr=0.005031, batch_cost=0.9885, reader_cost=0.0005 | ETA 10:14:19 2020-12-15 23:19:07 [INFO] [TRAIN] epoch=115, iter=42720/80000, loss=0.1506, lr=0.005030, batch_cost=1.3514, reader_cost=0.0024 | ETA 13:59:39 2020-12-15 23:19:19 [INFO] [TRAIN] epoch=115, iter=42730/80000, loss=0.1413, lr=0.005029, batch_cost=1.1732, reader_cost=0.0001 | ETA 12:08:43 2020-12-15 23:19:30 [INFO] [TRAIN] epoch=115, iter=42740/80000, loss=0.1570, lr=0.005027, batch_cost=1.1307, reader_cost=0.0001 | ETA 11:42:09 2020-12-15 23:19:44 [INFO] [TRAIN] epoch=115, iter=42750/80000, loss=0.1909, lr=0.005026, batch_cost=1.3504, reader_cost=0.0006 | ETA 13:58:23 2020-12-15 23:19:57 [INFO] [TRAIN] epoch=115, iter=42760/80000, loss=0.1614, lr=0.005025, batch_cost=1.2724, reader_cost=0.0001 | ETA 13:09:43 2020-12-15 23:20:10 [INFO] [TRAIN] epoch=115, iter=42770/80000, loss=0.1962, lr=0.005024, batch_cost=1.3610, reader_cost=0.0013 | ETA 14:04:28 2020-12-15 23:20:21 [INFO] [TRAIN] epoch=115, iter=42780/80000, loss=0.1554, lr=0.005023, batch_cost=1.0540, reader_cost=0.0002 | ETA 10:53:48 2020-12-15 23:20:36 [INFO] [TRAIN] epoch=116, iter=42790/80000, loss=0.1410, lr=0.005021, batch_cost=1.5484, reader_cost=0.0708 | ETA 16:00:16 2020-12-15 23:20:49 [INFO] [TRAIN] epoch=116, iter=42800/80000, loss=0.1667, lr=0.005020, batch_cost=1.2515, reader_cost=0.0002 | ETA 12:55:56 2020-12-15 23:21:02 [INFO] [TRAIN] epoch=116, iter=42810/80000, loss=0.1311, lr=0.005019, batch_cost=1.3161, reader_cost=0.0001 | ETA 13:35:45 2020-12-15 23:21:14 [INFO] [TRAIN] epoch=116, iter=42820/80000, loss=0.1370, lr=0.005018, batch_cost=1.1532, reader_cost=0.0002 | ETA 11:54:36 2020-12-15 23:21:26 [INFO] [TRAIN] epoch=116, iter=42830/80000, loss=0.1832, lr=0.005017, batch_cost=1.2623, reader_cost=0.0022 | ETA 13:01:58 2020-12-15 23:21:39 [INFO] [TRAIN] epoch=116, iter=42840/80000, loss=0.1444, lr=0.005015, batch_cost=1.2739, reader_cost=0.0001 | ETA 13:08:57 2020-12-15 23:21:52 [INFO] [TRAIN] epoch=116, iter=42850/80000, loss=0.1235, lr=0.005014, batch_cost=1.2659, reader_cost=0.0033 | ETA 13:03:47 2020-12-15 23:22:04 [INFO] [TRAIN] epoch=116, iter=42860/80000, loss=0.1605, lr=0.005013, batch_cost=1.2809, reader_cost=0.0005 | ETA 13:12:53 2020-12-15 23:22:17 [INFO] [TRAIN] epoch=116, iter=42870/80000, loss=0.2079, lr=0.005012, batch_cost=1.2603, reader_cost=0.0014 | ETA 12:59:56 2020-12-15 23:22:30 [INFO] [TRAIN] epoch=116, iter=42880/80000, loss=0.2019, lr=0.005010, batch_cost=1.2986, reader_cost=0.0001 | ETA 13:23:25 2020-12-15 23:22:41 [INFO] [TRAIN] epoch=116, iter=42890/80000, loss=0.1300, lr=0.005009, batch_cost=1.0995, reader_cost=0.0001 | ETA 11:20:00 2020-12-15 23:22:53 [INFO] [TRAIN] epoch=116, iter=42900/80000, loss=0.1334, lr=0.005008, batch_cost=1.2510, reader_cost=0.0002 | ETA 12:53:32 2020-12-15 23:23:03 [INFO] [TRAIN] epoch=116, iter=42910/80000, loss=0.1591, lr=0.005007, batch_cost=0.9514, reader_cost=0.0001 | ETA 09:48:08 2020-12-15 23:23:11 [INFO] [TRAIN] epoch=116, iter=42920/80000, loss=0.1962, lr=0.005006, batch_cost=0.8278, reader_cost=0.0001 | ETA 08:31:33 2020-12-15 23:23:21 [INFO] [TRAIN] epoch=116, iter=42930/80000, loss=0.1394, lr=0.005004, batch_cost=0.9904, reader_cost=0.0001 | ETA 10:11:52 2020-12-15 23:23:34 [INFO] [TRAIN] epoch=116, iter=42940/80000, loss=0.1491, lr=0.005003, batch_cost=1.3219, reader_cost=0.0024 | ETA 13:36:28 2020-12-15 23:23:46 [INFO] [TRAIN] epoch=116, iter=42950/80000, loss=0.1385, lr=0.005002, batch_cost=1.1378, reader_cost=0.0005 | ETA 11:42:34 2020-12-15 23:23:58 [INFO] [TRAIN] epoch=116, iter=42960/80000, loss=0.1695, lr=0.005001, batch_cost=1.2666, reader_cost=0.0001 | ETA 13:01:55 2020-12-15 23:24:11 [INFO] [TRAIN] epoch=116, iter=42970/80000, loss=0.1416, lr=0.005000, batch_cost=1.2592, reader_cost=0.0002 | ETA 12:57:07 2020-12-15 23:24:24 [INFO] [TRAIN] epoch=116, iter=42980/80000, loss=0.1412, lr=0.004998, batch_cost=1.3101, reader_cost=0.0006 | ETA 13:28:20 2020-12-15 23:24:35 [INFO] [TRAIN] epoch=116, iter=42990/80000, loss=0.1973, lr=0.004997, batch_cost=1.1241, reader_cost=0.0016 | ETA 11:33:22 2020-12-15 23:24:49 [INFO] [TRAIN] epoch=116, iter=43000/80000, loss=0.1541, lr=0.004996, batch_cost=1.3168, reader_cost=0.0001 | ETA 13:32:02 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 23:24:49 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 23:25:39 [INFO] [EVAL] #Images=500 mIoU=0.7723 Acc=0.9571 Kappa=0.9444 2020-12-15 23:25:39 [INFO] [EVAL] Class IoU: [0.9763 0.8111 0.9252 0.6056 0.6484 0.5981 0.6908 0.7805 0.9202 0.5097 0.9447 0.8084 0.6073 0.9458 0.782 0.9007 0.8169 0.6395 0.7635] 2020-12-15 23:25:39 [INFO] [EVAL] Class Acc: [0.9924 0.8639 0.9633 0.8665 0.8114 0.7811 0.7784 0.883 0.9438 0.9123 0.9685 0.8799 0.7645 0.9641 0.8925 0.9529 0.9373 0.7766 0.8718] 2020-12-15 23:25:46 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 23:25:59 [INFO] [TRAIN] epoch=116, iter=43010/80000, loss=0.1629, lr=0.004995, batch_cost=1.2711, reader_cost=0.0001 | ETA 13:03:38 2020-12-15 23:26:10 [INFO] [TRAIN] epoch=116, iter=43020/80000, loss=0.1383, lr=0.004993, batch_cost=1.1590, reader_cost=0.0022 | ETA 11:54:18 2020-12-15 23:26:22 [INFO] [TRAIN] epoch=116, iter=43030/80000, loss=0.1351, lr=0.004992, batch_cost=1.1416, reader_cost=0.0010 | ETA 11:43:26 2020-12-15 23:26:35 [INFO] [TRAIN] epoch=116, iter=43040/80000, loss=0.1406, lr=0.004991, batch_cost=1.3284, reader_cost=0.0004 | ETA 13:38:16 2020-12-15 23:26:47 [INFO] [TRAIN] epoch=116, iter=43050/80000, loss=0.1359, lr=0.004990, batch_cost=1.2314, reader_cost=0.0005 | ETA 12:38:21 2020-12-15 23:27:00 [INFO] [TRAIN] epoch=116, iter=43060/80000, loss=0.1176, lr=0.004989, batch_cost=1.2978, reader_cost=0.0001 | ETA 13:18:59 2020-12-15 23:27:11 [INFO] [TRAIN] epoch=116, iter=43070/80000, loss=0.2414, lr=0.004987, batch_cost=1.1361, reader_cost=0.0001 | ETA 11:39:14 2020-12-15 23:27:24 [INFO] [TRAIN] epoch=116, iter=43080/80000, loss=0.1241, lr=0.004986, batch_cost=1.2594, reader_cost=0.0005 | ETA 12:54:55 2020-12-15 23:27:34 [INFO] [TRAIN] epoch=116, iter=43090/80000, loss=0.1282, lr=0.004985, batch_cost=0.9656, reader_cost=0.0001 | ETA 09:54:00 2020-12-15 23:27:42 [INFO] [TRAIN] epoch=116, iter=43100/80000, loss=0.1880, lr=0.004984, batch_cost=0.8167, reader_cost=0.0001 | ETA 08:22:15 2020-12-15 23:27:51 [INFO] [TRAIN] epoch=116, iter=43110/80000, loss=0.1456, lr=0.004983, batch_cost=0.9137, reader_cost=0.0001 | ETA 09:21:47 2020-12-15 23:28:02 [INFO] [TRAIN] epoch=116, iter=43120/80000, loss=0.1765, lr=0.004981, batch_cost=1.1122, reader_cost=0.0001 | ETA 11:23:39 2020-12-15 23:28:14 [INFO] [TRAIN] epoch=116, iter=43130/80000, loss=0.1655, lr=0.004980, batch_cost=1.1874, reader_cost=0.0001 | ETA 12:09:41 2020-12-15 23:28:26 [INFO] [TRAIN] epoch=116, iter=43140/80000, loss=0.1622, lr=0.004979, batch_cost=1.2064, reader_cost=0.0014 | ETA 12:21:07 2020-12-15 23:28:37 [INFO] [TRAIN] epoch=116, iter=43150/80000, loss=0.1410, lr=0.004978, batch_cost=1.0660, reader_cost=0.0001 | ETA 10:54:40 2020-12-15 23:28:50 [INFO] [TRAIN] epoch=117, iter=43160/80000, loss=0.1539, lr=0.004976, batch_cost=1.3598, reader_cost=0.0909 | ETA 13:54:54 2020-12-15 23:29:03 [INFO] [TRAIN] epoch=117, iter=43170/80000, loss=0.1434, lr=0.004975, batch_cost=1.3118, reader_cost=0.0025 | ETA 13:25:15 2020-12-15 23:29:17 [INFO] [TRAIN] epoch=117, iter=43180/80000, loss=0.1538, lr=0.004974, batch_cost=1.3959, reader_cost=0.0007 | ETA 14:16:37 2020-12-15 23:29:29 [INFO] [TRAIN] epoch=117, iter=43190/80000, loss=0.1792, lr=0.004973, batch_cost=1.2041, reader_cost=0.0020 | ETA 12:18:44 2020-12-15 23:29:43 [INFO] [TRAIN] epoch=117, iter=43200/80000, loss=0.1817, lr=0.004972, batch_cost=1.3229, reader_cost=0.0038 | ETA 13:31:22 2020-12-15 23:29:56 [INFO] [TRAIN] epoch=117, iter=43210/80000, loss=0.1481, lr=0.004970, batch_cost=1.3155, reader_cost=0.0001 | ETA 13:26:36 2020-12-15 23:30:08 [INFO] [TRAIN] epoch=117, iter=43220/80000, loss=0.2350, lr=0.004969, batch_cost=1.2125, reader_cost=0.0001 | ETA 12:23:15 2020-12-15 23:30:20 [INFO] [TRAIN] epoch=117, iter=43230/80000, loss=0.2382, lr=0.004968, batch_cost=1.1668, reader_cost=0.0006 | ETA 11:55:03 2020-12-15 23:30:30 [INFO] [TRAIN] epoch=117, iter=43240/80000, loss=0.1726, lr=0.004967, batch_cost=1.0800, reader_cost=0.0006 | ETA 11:01:40 2020-12-15 23:30:43 [INFO] [TRAIN] epoch=117, iter=43250/80000, loss=0.1387, lr=0.004965, batch_cost=1.2467, reader_cost=0.0001 | ETA 12:43:36 2020-12-15 23:30:54 [INFO] [TRAIN] epoch=117, iter=43260/80000, loss=0.1609, lr=0.004964, batch_cost=1.1381, reader_cost=0.0006 | ETA 11:36:54 2020-12-15 23:31:07 [INFO] [TRAIN] epoch=117, iter=43270/80000, loss=0.2129, lr=0.004963, batch_cost=1.2764, reader_cost=0.0002 | ETA 13:01:20 2020-12-15 23:31:19 [INFO] [TRAIN] epoch=117, iter=43280/80000, loss=0.1370, lr=0.004962, batch_cost=1.2118, reader_cost=0.0011 | ETA 12:21:38 2020-12-15 23:31:32 [INFO] [TRAIN] epoch=117, iter=43290/80000, loss=0.1708, lr=0.004961, batch_cost=1.2341, reader_cost=0.0001 | ETA 12:35:04 2020-12-15 23:31:44 [INFO] [TRAIN] epoch=117, iter=43300/80000, loss=0.1362, lr=0.004959, batch_cost=1.2200, reader_cost=0.0003 | ETA 12:26:15 2020-12-15 23:31:57 [INFO] [TRAIN] epoch=117, iter=43310/80000, loss=0.1481, lr=0.004958, batch_cost=1.2898, reader_cost=0.0035 | ETA 13:08:41 2020-12-15 23:32:07 [INFO] [TRAIN] epoch=117, iter=43320/80000, loss=0.1448, lr=0.004957, batch_cost=0.9974, reader_cost=0.0001 | ETA 10:09:46 2020-12-15 23:32:15 [INFO] [TRAIN] epoch=117, iter=43330/80000, loss=0.1704, lr=0.004956, batch_cost=0.8391, reader_cost=0.0001 | ETA 08:32:51 2020-12-15 23:32:24 [INFO] [TRAIN] epoch=117, iter=43340/80000, loss=0.1759, lr=0.004955, batch_cost=0.9308, reader_cost=0.0001 | ETA 09:28:41 2020-12-15 23:32:35 [INFO] [TRAIN] epoch=117, iter=43350/80000, loss=0.1818, lr=0.004953, batch_cost=1.1152, reader_cost=0.0002 | ETA 11:21:11 2020-12-15 23:32:49 [INFO] [TRAIN] epoch=117, iter=43360/80000, loss=0.2112, lr=0.004952, batch_cost=1.3286, reader_cost=0.0001 | ETA 13:31:19 2020-12-15 23:33:01 [INFO] [TRAIN] epoch=117, iter=43370/80000, loss=0.1260, lr=0.004951, batch_cost=1.2088, reader_cost=0.0001 | ETA 12:17:59 2020-12-15 23:33:13 [INFO] [TRAIN] epoch=117, iter=43380/80000, loss=0.2388, lr=0.004950, batch_cost=1.2590, reader_cost=0.0005 | ETA 12:48:22 2020-12-15 23:33:27 [INFO] [TRAIN] epoch=117, iter=43390/80000, loss=0.2393, lr=0.004948, batch_cost=1.3196, reader_cost=0.0002 | ETA 13:25:11 2020-12-15 23:33:39 [INFO] [TRAIN] epoch=117, iter=43400/80000, loss=0.1911, lr=0.004947, batch_cost=1.2776, reader_cost=0.0001 | ETA 12:59:21 2020-12-15 23:33:50 [INFO] [TRAIN] epoch=117, iter=43410/80000, loss=0.1988, lr=0.004946, batch_cost=1.1003, reader_cost=0.0014 | ETA 11:11:00 2020-12-15 23:34:03 [INFO] [TRAIN] epoch=117, iter=43420/80000, loss=0.2406, lr=0.004945, batch_cost=1.2449, reader_cost=0.0026 | ETA 12:38:58 2020-12-15 23:34:15 [INFO] [TRAIN] epoch=117, iter=43430/80000, loss=0.1609, lr=0.004944, batch_cost=1.2487, reader_cost=0.0017 | ETA 12:41:04 2020-12-15 23:34:26 [INFO] [TRAIN] epoch=117, iter=43440/80000, loss=0.1652, lr=0.004942, batch_cost=1.0938, reader_cost=0.0001 | ETA 11:06:30 2020-12-15 23:34:38 [INFO] [TRAIN] epoch=117, iter=43450/80000, loss=0.1661, lr=0.004941, batch_cost=1.2121, reader_cost=0.0001 | ETA 12:18:22 2020-12-15 23:34:50 [INFO] [TRAIN] epoch=117, iter=43460/80000, loss=0.1693, lr=0.004940, batch_cost=1.1775, reader_cost=0.0002 | ETA 11:57:04 2020-12-15 23:35:02 [INFO] [TRAIN] epoch=117, iter=43470/80000, loss=0.1708, lr=0.004939, batch_cost=1.2091, reader_cost=0.0014 | ETA 12:16:07 2020-12-15 23:35:15 [INFO] [TRAIN] epoch=117, iter=43480/80000, loss=0.1911, lr=0.004938, batch_cost=1.2255, reader_cost=0.0004 | ETA 12:25:56 2020-12-15 23:35:26 [INFO] [TRAIN] epoch=117, iter=43490/80000, loss=0.4781, lr=0.004936, batch_cost=1.1829, reader_cost=0.0029 | ETA 11:59:47 2020-12-15 23:35:40 [INFO] [TRAIN] epoch=117, iter=43500/80000, loss=0.2247, lr=0.004935, batch_cost=1.3602, reader_cost=0.0021 | ETA 13:47:27 2020-12-15 23:35:53 [INFO] [TRAIN] epoch=117, iter=43510/80000, loss=0.1749, lr=0.004934, batch_cost=1.2650, reader_cost=0.0001 | ETA 12:49:20 2020-12-15 23:36:05 [INFO] [TRAIN] epoch=117, iter=43520/80000, loss=0.2018, lr=0.004933, batch_cost=1.1967, reader_cost=0.0007 | ETA 12:07:36 2020-12-15 23:36:17 [INFO] [TRAIN] epoch=118, iter=43530/80000, loss=0.3359, lr=0.004931, batch_cost=1.2604, reader_cost=0.0740 | ETA 12:46:07 2020-12-15 23:36:30 [INFO] [TRAIN] epoch=118, iter=43540/80000, loss=0.2282, lr=0.004930, batch_cost=1.2847, reader_cost=0.0003 | ETA 13:00:41 2020-12-15 23:36:41 [INFO] [TRAIN] epoch=118, iter=43550/80000, loss=0.1586, lr=0.004929, batch_cost=1.0595, reader_cost=0.0006 | ETA 10:43:38 2020-12-15 23:36:49 [INFO] [TRAIN] epoch=118, iter=43560/80000, loss=0.1981, lr=0.004928, batch_cost=0.8016, reader_cost=0.0001 | ETA 08:06:48 2020-12-15 23:36:58 [INFO] [TRAIN] epoch=118, iter=43570/80000, loss=0.2061, lr=0.004927, batch_cost=0.9825, reader_cost=0.0001 | ETA 09:56:34 2020-12-15 23:37:11 [INFO] [TRAIN] epoch=118, iter=43580/80000, loss=0.1680, lr=0.004925, batch_cost=1.2432, reader_cost=0.0004 | ETA 12:34:37 2020-12-15 23:37:23 [INFO] [TRAIN] epoch=118, iter=43590/80000, loss=0.1857, lr=0.004924, batch_cost=1.2426, reader_cost=0.0001 | ETA 12:34:04 2020-12-15 23:37:35 [INFO] [TRAIN] epoch=118, iter=43600/80000, loss=0.1472, lr=0.004923, batch_cost=1.2040, reader_cost=0.0008 | ETA 12:10:26 2020-12-15 23:37:48 [INFO] [TRAIN] epoch=118, iter=43610/80000, loss=0.1364, lr=0.004922, batch_cost=1.2266, reader_cost=0.0007 | ETA 12:23:55 2020-12-15 23:37:59 [INFO] [TRAIN] epoch=118, iter=43620/80000, loss=0.1446, lr=0.004920, batch_cost=1.1820, reader_cost=0.0005 | ETA 11:56:39 2020-12-15 23:38:12 [INFO] [TRAIN] epoch=118, iter=43630/80000, loss=0.1913, lr=0.004919, batch_cost=1.2991, reader_cost=0.0026 | ETA 13:07:28 2020-12-15 23:38:25 [INFO] [TRAIN] epoch=118, iter=43640/80000, loss=0.1454, lr=0.004918, batch_cost=1.2425, reader_cost=0.0034 | ETA 12:32:55 2020-12-15 23:38:37 [INFO] [TRAIN] epoch=118, iter=43650/80000, loss=0.1378, lr=0.004917, batch_cost=1.2476, reader_cost=0.0001 | ETA 12:35:49 2020-12-15 23:38:50 [INFO] [TRAIN] epoch=118, iter=43660/80000, loss=0.1147, lr=0.004916, batch_cost=1.2851, reader_cost=0.0004 | ETA 12:58:21 2020-12-15 23:39:02 [INFO] [TRAIN] epoch=118, iter=43670/80000, loss=0.1604, lr=0.004914, batch_cost=1.2130, reader_cost=0.0079 | ETA 12:14:26 2020-12-15 23:39:15 [INFO] [TRAIN] epoch=118, iter=43680/80000, loss=0.1700, lr=0.004913, batch_cost=1.2872, reader_cost=0.0012 | ETA 12:59:09 2020-12-15 23:39:25 [INFO] [TRAIN] epoch=118, iter=43690/80000, loss=0.1841, lr=0.004912, batch_cost=0.9492, reader_cost=0.0021 | ETA 09:34:23 2020-12-15 23:39:33 [INFO] [TRAIN] epoch=118, iter=43700/80000, loss=0.1893, lr=0.004911, batch_cost=0.8013, reader_cost=0.0001 | ETA 08:04:46 2020-12-15 23:39:41 [INFO] [TRAIN] epoch=118, iter=43710/80000, loss=0.1577, lr=0.004910, batch_cost=0.8205, reader_cost=0.0000 | ETA 08:16:17 2020-12-15 23:39:49 [INFO] [TRAIN] epoch=118, iter=43720/80000, loss=0.1892, lr=0.004908, batch_cost=0.7986, reader_cost=0.0001 | ETA 08:02:51 2020-12-15 23:39:58 [INFO] [TRAIN] epoch=118, iter=43730/80000, loss=0.1496, lr=0.004907, batch_cost=0.8645, reader_cost=0.0001 | ETA 08:42:35 2020-12-15 23:40:10 [INFO] [TRAIN] epoch=118, iter=43740/80000, loss=0.1909, lr=0.004906, batch_cost=1.2377, reader_cost=0.0014 | ETA 12:28:00 2020-12-15 23:40:23 [INFO] [TRAIN] epoch=118, iter=43750/80000, loss=0.1703, lr=0.004905, batch_cost=1.2638, reader_cost=0.0006 | ETA 12:43:31 2020-12-15 23:40:36 [INFO] [TRAIN] epoch=118, iter=43760/80000, loss=0.1275, lr=0.004903, batch_cost=1.3864, reader_cost=0.0006 | ETA 13:57:24 2020-12-15 23:40:49 [INFO] [TRAIN] epoch=118, iter=43770/80000, loss=0.1287, lr=0.004902, batch_cost=1.2613, reader_cost=0.0021 | ETA 12:41:35 2020-12-15 23:41:02 [INFO] [TRAIN] epoch=118, iter=43780/80000, loss=0.1891, lr=0.004901, batch_cost=1.3471, reader_cost=0.0001 | ETA 13:33:10 2020-12-15 23:41:15 [INFO] [TRAIN] epoch=118, iter=43790/80000, loss=0.1311, lr=0.004900, batch_cost=1.2219, reader_cost=0.0022 | ETA 12:17:23 2020-12-15 23:41:27 [INFO] [TRAIN] epoch=118, iter=43800/80000, loss=0.1382, lr=0.004899, batch_cost=1.2578, reader_cost=0.0001 | ETA 12:38:51 2020-12-15 23:41:40 [INFO] [TRAIN] epoch=118, iter=43810/80000, loss=0.1596, lr=0.004897, batch_cost=1.2784, reader_cost=0.0026 | ETA 12:51:04 2020-12-15 23:41:49 [INFO] [TRAIN] epoch=118, iter=43820/80000, loss=0.1493, lr=0.004896, batch_cost=0.8743, reader_cost=0.0031 | ETA 08:47:13 2020-12-15 23:41:58 [INFO] [TRAIN] epoch=118, iter=43830/80000, loss=0.2927, lr=0.004895, batch_cost=0.9335, reader_cost=0.0001 | ETA 09:22:43 2020-12-15 23:42:09 [INFO] [TRAIN] epoch=118, iter=43840/80000, loss=0.1582, lr=0.004894, batch_cost=1.0710, reader_cost=0.0001 | ETA 10:45:27 2020-12-15 23:42:21 [INFO] [TRAIN] epoch=118, iter=43850/80000, loss=0.1901, lr=0.004892, batch_cost=1.1661, reader_cost=0.0009 | ETA 11:42:32 2020-12-15 23:42:32 [INFO] [TRAIN] epoch=118, iter=43860/80000, loss=0.2143, lr=0.004891, batch_cost=1.1555, reader_cost=0.0001 | ETA 11:35:59 2020-12-15 23:42:45 [INFO] [TRAIN] epoch=118, iter=43870/80000, loss=0.2218, lr=0.004890, batch_cost=1.2460, reader_cost=0.0010 | ETA 12:30:18 2020-12-15 23:42:58 [INFO] [TRAIN] epoch=118, iter=43880/80000, loss=0.1227, lr=0.004889, batch_cost=1.2997, reader_cost=0.0001 | ETA 13:02:26 2020-12-15 23:43:09 [INFO] [TRAIN] epoch=118, iter=43890/80000, loss=0.1537, lr=0.004888, batch_cost=1.1400, reader_cost=0.0008 | ETA 11:26:05 2020-12-15 23:43:20 [INFO] [TRAIN] epoch=119, iter=43900/80000, loss=0.1580, lr=0.004886, batch_cost=1.0622, reader_cost=0.0656 | ETA 10:39:05 2020-12-15 23:43:32 [INFO] [TRAIN] epoch=119, iter=43910/80000, loss=0.1430, lr=0.004885, batch_cost=1.1968, reader_cost=0.0001 | ETA 11:59:50 2020-12-15 23:43:44 [INFO] [TRAIN] epoch=119, iter=43920/80000, loss=0.2825, lr=0.004884, batch_cost=1.2275, reader_cost=0.0033 | ETA 12:18:08 2020-12-15 23:43:56 [INFO] [TRAIN] epoch=119, iter=43930/80000, loss=0.2018, lr=0.004883, batch_cost=1.2283, reader_cost=0.0007 | ETA 12:18:24 2020-12-15 23:44:08 [INFO] [TRAIN] epoch=119, iter=43940/80000, loss=0.2080, lr=0.004881, batch_cost=1.1955, reader_cost=0.0008 | ETA 11:58:28 2020-12-15 23:44:19 [INFO] [TRAIN] epoch=119, iter=43950/80000, loss=0.1535, lr=0.004880, batch_cost=1.1191, reader_cost=0.0006 | ETA 11:12:22 2020-12-15 23:44:31 [INFO] [TRAIN] epoch=119, iter=43960/80000, loss=0.1340, lr=0.004879, batch_cost=1.1944, reader_cost=0.0015 | ETA 11:57:27 2020-12-15 23:44:42 [INFO] [TRAIN] epoch=119, iter=43970/80000, loss=0.1363, lr=0.004878, batch_cost=1.1196, reader_cost=0.0013 | ETA 11:12:18 2020-12-15 23:44:55 [INFO] [TRAIN] epoch=119, iter=43980/80000, loss=0.1186, lr=0.004877, batch_cost=1.2455, reader_cost=0.0026 | ETA 12:27:44 2020-12-15 23:45:07 [INFO] [TRAIN] epoch=119, iter=43990/80000, loss=0.2191, lr=0.004875, batch_cost=1.1955, reader_cost=0.0004 | ETA 11:57:28 2020-12-15 23:45:20 [INFO] [TRAIN] epoch=119, iter=44000/80000, loss=0.2014, lr=0.004874, batch_cost=1.3050, reader_cost=0.0001 | ETA 13:03:01 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-15 23:45:20 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-15 23:46:11 [INFO] [EVAL] #Images=500 mIoU=0.7736 Acc=0.9594 Kappa=0.9473 2020-12-15 23:46:11 [INFO] [EVAL] Class IoU: [0.9811 0.8498 0.9226 0.548 0.6248 0.5991 0.6999 0.7766 0.9215 0.6503 0.9465 0.812 0.6235 0.946 0.8098 0.8603 0.6888 0.6666 0.7719] 2020-12-15 23:46:11 [INFO] [EVAL] Class Acc: [0.9941 0.8994 0.9572 0.8148 0.8019 0.7675 0.8336 0.9214 0.9499 0.8603 0.9673 0.8858 0.8042 0.9702 0.9359 0.9166 0.7636 0.836 0.8611] 2020-12-15 23:46:17 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-15 23:46:26 [INFO] [TRAIN] epoch=119, iter=44010/80000, loss=0.1528, lr=0.004873, batch_cost=0.8695, reader_cost=0.0029 | ETA 08:41:33 2020-12-15 23:46:35 [INFO] [TRAIN] epoch=119, iter=44020/80000, loss=0.1693, lr=0.004872, batch_cost=0.8857, reader_cost=0.0004 | ETA 08:51:08 2020-12-15 23:46:45 [INFO] [TRAIN] epoch=119, iter=44030/80000, loss=0.1803, lr=0.004871, batch_cost=1.0830, reader_cost=0.0001 | ETA 10:49:14 2020-12-15 23:46:57 [INFO] [TRAIN] epoch=119, iter=44040/80000, loss=0.1894, lr=0.004869, batch_cost=1.1418, reader_cost=0.0005 | ETA 11:24:18 2020-12-15 23:47:09 [INFO] [TRAIN] epoch=119, iter=44050/80000, loss=0.1673, lr=0.004868, batch_cost=1.2511, reader_cost=0.0004 | ETA 12:29:38 2020-12-15 23:47:20 [INFO] [TRAIN] epoch=119, iter=44060/80000, loss=0.1502, lr=0.004867, batch_cost=1.1046, reader_cost=0.0009 | ETA 11:01:39 2020-12-15 23:47:32 [INFO] [TRAIN] epoch=119, iter=44070/80000, loss=0.1397, lr=0.004866, batch_cost=1.1954, reader_cost=0.0035 | ETA 11:55:52 2020-12-15 23:47:44 [INFO] [TRAIN] epoch=119, iter=44080/80000, loss=0.1390, lr=0.004864, batch_cost=1.1183, reader_cost=0.0006 | ETA 11:09:30 2020-12-15 23:47:55 [INFO] [TRAIN] epoch=119, iter=44090/80000, loss=0.1354, lr=0.004863, batch_cost=1.1667, reader_cost=0.0055 | ETA 11:38:15 2020-12-15 23:48:08 [INFO] [TRAIN] epoch=119, iter=44100/80000, loss=0.2025, lr=0.004862, batch_cost=1.2303, reader_cost=0.0014 | ETA 12:16:07 2020-12-15 23:48:20 [INFO] [TRAIN] epoch=119, iter=44110/80000, loss=0.1824, lr=0.004861, batch_cost=1.2309, reader_cost=0.0006 | ETA 12:16:16 2020-12-15 23:48:32 [INFO] [TRAIN] epoch=119, iter=44120/80000, loss=0.1396, lr=0.004860, batch_cost=1.2283, reader_cost=0.0007 | ETA 12:14:32 2020-12-15 23:48:45 [INFO] [TRAIN] epoch=119, iter=44130/80000, loss=0.1657, lr=0.004858, batch_cost=1.3110, reader_cost=0.0002 | ETA 13:03:46 2020-12-15 23:48:57 [INFO] [TRAIN] epoch=119, iter=44140/80000, loss=0.1558, lr=0.004857, batch_cost=1.2133, reader_cost=0.0033 | ETA 12:05:10 2020-12-15 23:49:11 [INFO] [TRAIN] epoch=119, iter=44150/80000, loss=0.1954, lr=0.004856, batch_cost=1.3562, reader_cost=0.0005 | ETA 13:30:19 2020-12-15 23:49:23 [INFO] [TRAIN] epoch=119, iter=44160/80000, loss=0.1260, lr=0.004855, batch_cost=1.2231, reader_cost=0.0001 | ETA 12:10:36 2020-12-15 23:49:36 [INFO] [TRAIN] epoch=119, iter=44170/80000, loss=0.1683, lr=0.004853, batch_cost=1.2631, reader_cost=0.0014 | ETA 12:34:18 2020-12-15 23:49:49 [INFO] [TRAIN] epoch=119, iter=44180/80000, loss=0.1804, lr=0.004852, batch_cost=1.3001, reader_cost=0.0002 | ETA 12:56:08 2020-12-15 23:50:01 [INFO] [TRAIN] epoch=119, iter=44190/80000, loss=0.2058, lr=0.004851, batch_cost=1.1751, reader_cost=0.0037 | ETA 11:41:20 2020-12-15 23:50:12 [INFO] [TRAIN] epoch=119, iter=44200/80000, loss=0.1832, lr=0.004850, batch_cost=1.1671, reader_cost=0.0026 | ETA 11:36:21 2020-12-15 23:50:24 [INFO] [TRAIN] epoch=119, iter=44210/80000, loss=0.1447, lr=0.004849, batch_cost=1.1417, reader_cost=0.0006 | ETA 11:21:00 2020-12-15 23:50:37 [INFO] [TRAIN] epoch=119, iter=44220/80000, loss=0.1639, lr=0.004847, batch_cost=1.2982, reader_cost=0.0042 | ETA 12:54:10 2020-12-15 23:50:49 [INFO] [TRAIN] epoch=119, iter=44230/80000, loss=0.1846, lr=0.004846, batch_cost=1.2130, reader_cost=0.0001 | ETA 12:03:09 2020-12-15 23:50:58 [INFO] [TRAIN] epoch=119, iter=44240/80000, loss=0.1657, lr=0.004845, batch_cost=0.9302, reader_cost=0.0001 | ETA 09:14:23 2020-12-15 23:51:06 [INFO] [TRAIN] epoch=119, iter=44250/80000, loss=0.2029, lr=0.004844, batch_cost=0.8374, reader_cost=0.0001 | ETA 08:18:56 2020-12-15 23:51:16 [INFO] [TRAIN] epoch=119, iter=44260/80000, loss=0.1490, lr=0.004842, batch_cost=0.9484, reader_cost=0.0001 | ETA 09:24:54 2020-12-15 23:51:27 [INFO] [TRAIN] epoch=120, iter=44270/80000, loss=0.1775, lr=0.004841, batch_cost=1.0586, reader_cost=0.0512 | ETA 10:30:24 2020-12-15 23:51:40 [INFO] [TRAIN] epoch=120, iter=44280/80000, loss=0.1285, lr=0.004840, batch_cost=1.3287, reader_cost=0.0021 | ETA 13:11:00 2020-12-15 23:51:53 [INFO] [TRAIN] epoch=120, iter=44290/80000, loss=0.1902, lr=0.004839, batch_cost=1.2777, reader_cost=0.0052 | ETA 12:40:26 2020-12-15 23:52:04 [INFO] [TRAIN] epoch=120, iter=44300/80000, loss=0.1449, lr=0.004838, batch_cost=1.1713, reader_cost=0.0011 | ETA 11:36:54 2020-12-15 23:52:17 [INFO] [TRAIN] epoch=120, iter=44310/80000, loss=0.1644, lr=0.004836, batch_cost=1.2459, reader_cost=0.0001 | ETA 12:21:07 2020-12-15 23:52:29 [INFO] [TRAIN] epoch=120, iter=44320/80000, loss=0.1753, lr=0.004835, batch_cost=1.1975, reader_cost=0.0001 | ETA 11:52:06 2020-12-15 23:52:40 [INFO] [TRAIN] epoch=120, iter=44330/80000, loss=0.1953, lr=0.004834, batch_cost=1.1553, reader_cost=0.0002 | ETA 11:26:51 2020-12-15 23:52:52 [INFO] [TRAIN] epoch=120, iter=44340/80000, loss=0.2383, lr=0.004833, batch_cost=1.2147, reader_cost=0.0001 | ETA 12:01:54 2020-12-15 23:53:05 [INFO] [TRAIN] epoch=120, iter=44350/80000, loss=0.1574, lr=0.004832, batch_cost=1.2255, reader_cost=0.0029 | ETA 12:08:07 2020-12-15 23:53:17 [INFO] [TRAIN] epoch=120, iter=44360/80000, loss=0.1218, lr=0.004830, batch_cost=1.2012, reader_cost=0.0011 | ETA 11:53:30 2020-12-15 23:53:28 [INFO] [TRAIN] epoch=120, iter=44370/80000, loss=0.1906, lr=0.004829, batch_cost=1.1509, reader_cost=0.0001 | ETA 11:23:27 2020-12-15 23:53:41 [INFO] [TRAIN] epoch=120, iter=44380/80000, loss=0.1452, lr=0.004828, batch_cost=1.2364, reader_cost=0.0012 | ETA 12:14:01 2020-12-15 23:53:53 [INFO] [TRAIN] epoch=120, iter=44390/80000, loss=0.1297, lr=0.004827, batch_cost=1.2629, reader_cost=0.0008 | ETA 12:29:33 2020-12-15 23:54:06 [INFO] [TRAIN] epoch=120, iter=44400/80000, loss=0.1948, lr=0.004825, batch_cost=1.2433, reader_cost=0.0022 | ETA 12:17:42 2020-12-15 23:54:18 [INFO] [TRAIN] epoch=120, iter=44410/80000, loss=0.1958, lr=0.004824, batch_cost=1.2370, reader_cost=0.0005 | ETA 12:13:45 2020-12-15 23:54:31 [INFO] [TRAIN] epoch=120, iter=44420/80000, loss=0.1582, lr=0.004823, batch_cost=1.2450, reader_cost=0.0001 | ETA 12:18:16 2020-12-15 23:54:41 [INFO] [TRAIN] epoch=120, iter=44430/80000, loss=0.1043, lr=0.004822, batch_cost=1.0916, reader_cost=0.0001 | ETA 10:47:09 2020-12-15 23:54:54 [INFO] [TRAIN] epoch=120, iter=44440/80000, loss=0.2065, lr=0.004821, batch_cost=1.2267, reader_cost=0.0023 | ETA 12:07:01 2020-12-15 23:55:07 [INFO] [TRAIN] epoch=120, iter=44450/80000, loss=0.2158, lr=0.004819, batch_cost=1.2861, reader_cost=0.0015 | ETA 12:42:00 2020-12-15 23:55:18 [INFO] [TRAIN] epoch=120, iter=44460/80000, loss=0.2218, lr=0.004818, batch_cost=1.1868, reader_cost=0.0006 | ETA 11:42:58 2020-12-15 23:55:29 [INFO] [TRAIN] epoch=120, iter=44470/80000, loss=0.1563, lr=0.004817, batch_cost=1.0158, reader_cost=0.0001 | ETA 10:01:29 2020-12-15 23:55:37 [INFO] [TRAIN] epoch=120, iter=44480/80000, loss=0.1739, lr=0.004816, batch_cost=0.8376, reader_cost=0.0001 | ETA 08:15:51 2020-12-15 23:55:47 [INFO] [TRAIN] epoch=120, iter=44490/80000, loss=0.1817, lr=0.004814, batch_cost=0.9882, reader_cost=0.0001 | ETA 09:44:51 2020-12-15 23:55:58 [INFO] [TRAIN] epoch=120, iter=44500/80000, loss=0.2079, lr=0.004813, batch_cost=1.1326, reader_cost=0.0031 | ETA 11:10:08 2020-12-15 23:56:11 [INFO] [TRAIN] epoch=120, iter=44510/80000, loss=0.1475, lr=0.004812, batch_cost=1.2522, reader_cost=0.0005 | ETA 12:20:40 2020-12-15 23:56:23 [INFO] [TRAIN] epoch=120, iter=44520/80000, loss=0.1304, lr=0.004811, batch_cost=1.2036, reader_cost=0.0014 | ETA 11:51:43 2020-12-15 23:56:35 [INFO] [TRAIN] epoch=120, iter=44530/80000, loss=0.1960, lr=0.004810, batch_cost=1.2281, reader_cost=0.0001 | ETA 12:06:00 2020-12-15 23:56:48 [INFO] [TRAIN] epoch=120, iter=44540/80000, loss=0.1393, lr=0.004808, batch_cost=1.2574, reader_cost=0.0017 | ETA 12:23:08 2020-12-15 23:57:00 [INFO] [TRAIN] epoch=120, iter=44550/80000, loss=0.1493, lr=0.004807, batch_cost=1.2191, reader_cost=0.0004 | ETA 12:00:15 2020-12-15 23:57:12 [INFO] [TRAIN] epoch=120, iter=44560/80000, loss=0.1900, lr=0.004806, batch_cost=1.2687, reader_cost=0.0001 | ETA 12:29:21 2020-12-15 23:57:25 [INFO] [TRAIN] epoch=120, iter=44570/80000, loss=0.1649, lr=0.004805, batch_cost=1.2785, reader_cost=0.0036 | ETA 12:34:57 2020-12-15 23:57:38 [INFO] [TRAIN] epoch=120, iter=44580/80000, loss=0.2352, lr=0.004803, batch_cost=1.2585, reader_cost=0.0001 | ETA 12:22:56 2020-12-15 23:57:49 [INFO] [TRAIN] epoch=120, iter=44590/80000, loss=0.2017, lr=0.004802, batch_cost=1.1310, reader_cost=0.0011 | ETA 11:07:28 2020-12-15 23:58:02 [INFO] [TRAIN] epoch=120, iter=44600/80000, loss=0.2824, lr=0.004801, batch_cost=1.3022, reader_cost=0.0036 | ETA 12:48:18 2020-12-15 23:58:14 [INFO] [TRAIN] epoch=120, iter=44610/80000, loss=0.1558, lr=0.004800, batch_cost=1.1759, reader_cost=0.0024 | ETA 11:33:36 2020-12-15 23:58:26 [INFO] [TRAIN] epoch=120, iter=44620/80000, loss=0.1542, lr=0.004799, batch_cost=1.2232, reader_cost=0.0001 | ETA 12:01:15 2020-12-15 23:58:38 [INFO] [TRAIN] epoch=120, iter=44630/80000, loss=0.2133, lr=0.004797, batch_cost=1.1571, reader_cost=0.0011 | ETA 11:22:05 2020-12-15 23:58:47 [INFO] [TRAIN] epoch=120, iter=44640/80000, loss=0.1678, lr=0.004796, batch_cost=0.9312, reader_cost=0.0032 | ETA 09:08:48 2020-12-15 23:59:01 [INFO] [TRAIN] epoch=121, iter=44650/80000, loss=0.1982, lr=0.004795, batch_cost=1.3571, reader_cost=0.0695 | ETA 13:19:32 2020-12-15 23:59:14 [INFO] [TRAIN] epoch=121, iter=44660/80000, loss=0.1633, lr=0.004794, batch_cost=1.3065, reader_cost=0.0032 | ETA 12:49:30 2020-12-15 23:59:26 [INFO] [TRAIN] epoch=121, iter=44670/80000, loss=0.1331, lr=0.004792, batch_cost=1.2092, reader_cost=0.0001 | ETA 11:52:01 2020-12-15 23:59:37 [INFO] [TRAIN] epoch=121, iter=44680/80000, loss=0.1845, lr=0.004791, batch_cost=1.1250, reader_cost=0.0016 | ETA 11:02:15 2020-12-15 23:59:49 [INFO] [TRAIN] epoch=121, iter=44690/80000, loss=0.1436, lr=0.004790, batch_cost=1.1955, reader_cost=0.0005 | ETA 11:43:34 2020-12-15 23:59:59 [INFO] [TRAIN] epoch=121, iter=44700/80000, loss=0.1310, lr=0.004789, batch_cost=1.0227, reader_cost=0.0009 | ETA 10:01:40 2020-12-16 00:00:07 [INFO] [TRAIN] epoch=121, iter=44710/80000, loss=0.1718, lr=0.004788, batch_cost=0.8267, reader_cost=0.0001 | ETA 08:06:15 2020-12-16 00:00:17 [INFO] [TRAIN] epoch=121, iter=44720/80000, loss=0.1859, lr=0.004786, batch_cost=0.9089, reader_cost=0.0001 | ETA 08:54:26 2020-12-16 00:00:27 [INFO] [TRAIN] epoch=121, iter=44730/80000, loss=0.1504, lr=0.004785, batch_cost=1.0809, reader_cost=0.0001 | ETA 10:35:23 2020-12-16 00:00:40 [INFO] [TRAIN] epoch=121, iter=44740/80000, loss=0.1383, lr=0.004784, batch_cost=1.2268, reader_cost=0.0026 | ETA 12:00:56 2020-12-16 00:00:52 [INFO] [TRAIN] epoch=121, iter=44750/80000, loss=0.2068, lr=0.004783, batch_cost=1.1878, reader_cost=0.0001 | ETA 11:37:49 2020-12-16 00:01:04 [INFO] [TRAIN] epoch=121, iter=44760/80000, loss=0.2262, lr=0.004781, batch_cost=1.2803, reader_cost=0.0034 | ETA 12:31:57 2020-12-16 00:01:16 [INFO] [TRAIN] epoch=121, iter=44770/80000, loss=0.2220, lr=0.004780, batch_cost=1.1171, reader_cost=0.0004 | ETA 10:55:55 2020-12-16 00:01:29 [INFO] [TRAIN] epoch=121, iter=44780/80000, loss=0.2446, lr=0.004779, batch_cost=1.3198, reader_cost=0.0016 | ETA 12:54:41 2020-12-16 00:01:41 [INFO] [TRAIN] epoch=121, iter=44790/80000, loss=0.1935, lr=0.004778, batch_cost=1.2309, reader_cost=0.0005 | ETA 12:02:21 2020-12-16 00:01:54 [INFO] [TRAIN] epoch=121, iter=44800/80000, loss=0.2442, lr=0.004777, batch_cost=1.2992, reader_cost=0.0014 | ETA 12:42:11 2020-12-16 00:02:07 [INFO] [TRAIN] epoch=121, iter=44810/80000, loss=0.1509, lr=0.004775, batch_cost=1.2635, reader_cost=0.0001 | ETA 12:21:01 2020-12-16 00:02:19 [INFO] [TRAIN] epoch=121, iter=44820/80000, loss=0.1438, lr=0.004774, batch_cost=1.2471, reader_cost=0.0009 | ETA 12:11:12 2020-12-16 00:02:32 [INFO] [TRAIN] epoch=121, iter=44830/80000, loss=0.1198, lr=0.004773, batch_cost=1.2699, reader_cost=0.0008 | ETA 12:24:20 2020-12-16 00:02:44 [INFO] [TRAIN] epoch=121, iter=44840/80000, loss=0.1689, lr=0.004772, batch_cost=1.2321, reader_cost=0.0056 | ETA 12:01:59 2020-12-16 00:02:56 [INFO] [TRAIN] epoch=121, iter=44850/80000, loss=0.1649, lr=0.004770, batch_cost=1.1380, reader_cost=0.0002 | ETA 11:06:40 2020-12-16 00:03:07 [INFO] [TRAIN] epoch=121, iter=44860/80000, loss=0.1417, lr=0.004769, batch_cost=1.1595, reader_cost=0.0032 | ETA 11:19:05 2020-12-16 00:03:19 [INFO] [TRAIN] epoch=121, iter=44870/80000, loss=0.1384, lr=0.004768, batch_cost=1.1946, reader_cost=0.0002 | ETA 11:39:27 2020-12-16 00:03:31 [INFO] [TRAIN] epoch=121, iter=44880/80000, loss=0.1813, lr=0.004767, batch_cost=1.2232, reader_cost=0.0033 | ETA 11:55:58 2020-12-16 00:03:43 [INFO] [TRAIN] epoch=121, iter=44890/80000, loss=0.1404, lr=0.004766, batch_cost=1.1496, reader_cost=0.0001 | ETA 11:12:42 2020-12-16 00:03:54 [INFO] [TRAIN] epoch=121, iter=44900/80000, loss=0.2149, lr=0.004764, batch_cost=1.1659, reader_cost=0.0012 | ETA 11:22:01 2020-12-16 00:04:06 [INFO] [TRAIN] epoch=121, iter=44910/80000, loss=0.1415, lr=0.004763, batch_cost=1.1668, reader_cost=0.0001 | ETA 11:22:23 2020-12-16 00:04:17 [INFO] [TRAIN] epoch=121, iter=44920/80000, loss=0.1813, lr=0.004762, batch_cost=1.1349, reader_cost=0.0004 | ETA 11:03:30 2020-12-16 00:04:29 [INFO] [TRAIN] epoch=121, iter=44930/80000, loss=0.1441, lr=0.004761, batch_cost=1.1060, reader_cost=0.0002 | ETA 10:46:27 2020-12-16 00:04:37 [INFO] [TRAIN] epoch=121, iter=44940/80000, loss=0.1836, lr=0.004759, batch_cost=0.8170, reader_cost=0.0001 | ETA 07:57:24 2020-12-16 00:04:45 [INFO] [TRAIN] epoch=121, iter=44950/80000, loss=0.1394, lr=0.004758, batch_cost=0.8104, reader_cost=0.0001 | ETA 07:53:23 2020-12-16 00:04:53 [INFO] [TRAIN] epoch=121, iter=44960/80000, loss=0.1649, lr=0.004757, batch_cost=0.8195, reader_cost=0.0001 | ETA 07:58:33 2020-12-16 00:05:01 [INFO] [TRAIN] epoch=121, iter=44970/80000, loss=0.1570, lr=0.004756, batch_cost=0.8117, reader_cost=0.0001 | ETA 07:53:55 2020-12-16 00:05:11 [INFO] [TRAIN] epoch=121, iter=44980/80000, loss=0.1441, lr=0.004755, batch_cost=1.0139, reader_cost=0.0005 | ETA 09:51:47 2020-12-16 00:05:19 [INFO] [TRAIN] epoch=121, iter=44990/80000, loss=0.1623, lr=0.004753, batch_cost=0.8089, reader_cost=0.0001 | ETA 07:52:01 2020-12-16 00:05:28 [INFO] [TRAIN] epoch=121, iter=45000/80000, loss=0.1457, lr=0.004752, batch_cost=0.9002, reader_cost=0.0002 | ETA 08:45:06 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 00:05:28 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 00:06:19 [INFO] [EVAL] #Images=500 mIoU=0.7793 Acc=0.9602 Kappa=0.9484 2020-12-16 00:06:19 [INFO] [EVAL] Class IoU: [0.9819 0.8571 0.9244 0.5802 0.6077 0.6019 0.6893 0.7835 0.9217 0.6647 0.943 0.807 0.6239 0.9474 0.8075 0.868 0.7761 0.6546 0.7672] 2020-12-16 00:06:19 [INFO] [EVAL] Class Acc: [0.9924 0.9209 0.9605 0.8316 0.8505 0.7697 0.8442 0.882 0.9484 0.8397 0.965 0.8593 0.7758 0.9674 0.9557 0.9459 0.9051 0.8205 0.8627] 2020-12-16 00:06:25 [INFO] [EVAL] The model with the best validation mIoU (0.7824) was saved at iter 37000. 2020-12-16 00:06:36 [INFO] [TRAIN] epoch=121, iter=45010/80000, loss=0.1428, lr=0.004751, batch_cost=1.0697, reader_cost=0.0001 | ETA 10:23:49 2020-12-16 00:06:50 [INFO] [TRAIN] epoch=122, iter=45020/80000, loss=0.1887, lr=0.004750, batch_cost=1.3473, reader_cost=0.0636 | ETA 13:05:28 2020-12-16 00:07:01 [INFO] [TRAIN] epoch=122, iter=45030/80000, loss=0.1151, lr=0.004748, batch_cost=1.1473, reader_cost=0.0013 | ETA 11:08:41 2020-12-16 00:07:12 [INFO] [TRAIN] epoch=122, iter=45040/80000, loss=0.1304, lr=0.004747, batch_cost=1.1191, reader_cost=0.0009 | ETA 10:52:02 2020-12-16 00:07:24 [INFO] [TRAIN] epoch=122, iter=45050/80000, loss=0.1661, lr=0.004746, batch_cost=1.1713, reader_cost=0.0035 | ETA 11:22:17 2020-12-16 00:07:37 [INFO] [TRAIN] epoch=122, iter=45060/80000, loss=0.1854, lr=0.004745, batch_cost=1.2760, reader_cost=0.0001 | ETA 12:23:04 2020-12-16 00:07:49 [INFO] [TRAIN] epoch=122, iter=45070/80000, loss=0.1498, lr=0.004744, batch_cost=1.2079, reader_cost=0.0001 | ETA 11:43:10 2020-12-16 00:08:01 [INFO] [TRAIN] epoch=122, iter=45080/80000, loss=0.1932, lr=0.004742, batch_cost=1.2345, reader_cost=0.0001 | ETA 11:58:27 2020-12-16 00:08:13 [INFO] [TRAIN] epoch=122, iter=45090/80000, loss=0.1836, lr=0.004741, batch_cost=1.2014, reader_cost=0.0015 | ETA 11:39:01 2020-12-16 00:08:26 [INFO] [TRAIN] epoch=122, iter=45100/80000, loss=0.1313, lr=0.004740, batch_cost=1.2321, reader_cost=0.0002 | ETA 11:56:40 2020-12-16 00:08:38 [INFO] [TRAIN] epoch=122, iter=45110/80000, loss=0.1634, lr=0.004739, batch_cost=1.2295, reader_cost=0.0007 | ETA 11:54:55 2020-12-16 00:08:50 [INFO] [TRAIN] epoch=122, iter=45120/80000, loss=0.1500, lr=0.004737, batch_cost=1.2066, reader_cost=0.0001 | ETA 11:41:26 2020-12-16 00:09:01 [INFO] [TRAIN] epoch=122, iter=45130/80000, loss=0.1288, lr=0.004736, batch_cost=1.1216, reader_cost=0.0009 | ETA 10:51:50 2020-12-16 00:09:13 [INFO] [TRAIN] epoch=122, iter=45140/80000, loss=0.1707, lr=0.004735, batch_cost=1.2210, reader_cost=0.0011 | ETA 11:49:23 2020-12-16 00:09:25 [INFO] [TRAIN] epoch=122, iter=45150/80000, loss=0.1312, lr=0.004734, batch_cost=1.1428, reader_cost=0.0006 | ETA 11:03:46 2020-12-16 00:09:36 [INFO] [TRAIN] epoch=122, iter=45160/80000, loss=0.1822, lr=0.004733, batch_cost=1.1725, reader_cost=0.0001 | ETA 11:20:50 2020-12-16 00:09:46 [INFO] [TRAIN] epoch=122, iter=45170/80000, loss=0.1739, lr=0.004731, batch_cost=0.9414, reader_cost=0.0005 | ETA 09:06:27 2020-12-16 00:09:54 [INFO] [TRAIN] epoch=122, iter=45180/80000, loss=0.1559, lr=0.004730, batch_cost=0.8129, reader_cost=0.0001 | ETA 07:51:46 2020-12-16 00:10:03 [INFO] [TRAIN] epoch=122, iter=45190/80000, loss=0.1945, lr=0.004729, batch_cost=0.8716, reader_cost=0.0001 | ETA 08:25:39 2020-12-16 00:10:13 [INFO] [TRAIN] epoch=122, iter=45200/80000, loss=0.1659, lr=0.004728, batch_cost=1.0698, reader_cost=0.0015 | ETA 10:20:30 2020-12-16 00:10:27 [INFO] [TRAIN] epoch=122, iter=45210/80000, loss=0.1769, lr=0.004726, batch_cost=1.3636, reader_cost=0.0005 | ETA 13:10:39 2020-12-16 00:10:39 [INFO] [TRAIN] epoch=122, iter=45220/80000, loss=0.1435, lr=0.004725, batch_cost=1.1595, reader_cost=0.0001 | ETA 11:12:08 2020-12-16 00:10:51 [INFO] [TRAIN] epoch=122, iter=45230/80000, loss=0.1717, lr=0.004724, batch_cost=1.2588, reader_cost=0.0031 | ETA 12:09:28 2020-12-16 00:11:05 [INFO] [TRAIN] epoch=122, iter=45240/80000, loss=0.2509, lr=0.004723, batch_cost=1.3383, reader_cost=0.0011 | ETA 12:55:20 2020-12-16 00:11:17 [INFO] [TRAIN] epoch=122, iter=45250/80000, loss=0.1500, lr=0.004722, batch_cost=1.2010, reader_cost=0.0001 | ETA 11:35:34 2020-12-16 00:11:29 [INFO] [TRAIN] epoch=122, iter=45260/80000, loss=0.1357, lr=0.004720, batch_cost=1.2143, reader_cost=0.0013 | ETA 11:43:05 2020-12-16 00:11:41 [INFO] [TRAIN] epoch=122, iter=45270/80000, loss=0.1702, lr=0.004719, batch_cost=1.2056, reader_cost=0.0029 | ETA 11:37:50 2020-12-16 00:11:54 [INFO] [TRAIN] epoch=122, iter=45280/80000, loss=0.1338, lr=0.004718, batch_cost=1.3297, reader_cost=0.0001 | ETA 12:49:26 2020-12-16 00:12:06 [INFO] [TRAIN] epoch=122, iter=45290/80000, loss=0.1908, lr=0.004717, batch_cost=1.1811, reader_cost=0.0007 | ETA 11:23:17 2020-12-16 00:12:18 [INFO] [TRAIN] epoch=122, iter=45300/80000, loss=0.2489, lr=0.004715, batch_cost=1.1822, reader_cost=0.0020 | ETA 11:23:42 2020-12-16 00:12:30 [INFO] [TRAIN] epoch=122, iter=45310/80000, loss=0.1298, lr=0.004714, batch_cost=1.2558, reader_cost=0.0010 | ETA 12:06:04 2020-12-16 00:12:43 [INFO] [TRAIN] epoch=122, iter=45320/80000, loss=0.1402, lr=0.004713, batch_cost=1.2836, reader_cost=0.0001 | ETA 12:21:55 2020-12-16 00:12:56 [INFO] [TRAIN] epoch=122, iter=45330/80000, loss=0.1432, lr=0.004712, batch_cost=1.3146, reader_cost=0.0030 | ETA 12:39:38 2020-12-16 00:13:08 [INFO] [TRAIN] epoch=122, iter=45340/80000, loss=0.1360, lr=0.004711, batch_cost=1.2085, reader_cost=0.0017 | ETA 11:38:05 2020-12-16 00:13:21 [INFO] [TRAIN] epoch=122, iter=45350/80000, loss=0.1888, lr=0.004709, batch_cost=1.2150, reader_cost=0.0003 | ETA 11:41:38 2020-12-16 00:13:33 [INFO] [TRAIN] epoch=122, iter=45360/80000, loss=0.1644, lr=0.004708, batch_cost=1.2104, reader_cost=0.0007 | ETA 11:38:46 2020-12-16 00:13:45 [INFO] [TRAIN] epoch=122, iter=45370/80000, loss=0.1674, lr=0.004707, batch_cost=1.2381, reader_cost=0.0020 | ETA 11:54:34 2020-12-16 00:13:56 [INFO] [TRAIN] epoch=122, iter=45380/80000, loss=0.1400, lr=0.004706, batch_cost=1.1447, reader_cost=0.0001 | ETA 11:00:30 2020-12-16 00:14:10 [INFO] [TRAIN] epoch=123, iter=45390/80000, loss=0.1432, lr=0.004704, batch_cost=1.3074, reader_cost=0.0488 | ETA 12:34:10 2020-12-16 00:14:20 [INFO] [TRAIN] epoch=123, iter=45400/80000, loss=0.1425, lr=0.004703, batch_cost=0.9936, reader_cost=0.0025 | ETA 09:32:58 2020-12-16 00:14:28 [INFO] [TRAIN] epoch=123, iter=45410/80000, loss=0.1655, lr=0.004702, batch_cost=0.8127, reader_cost=0.0001 | ETA 07:48:30 2020-12-16 00:14:38 [INFO] [TRAIN] epoch=123, iter=45420/80000, loss=0.1246, lr=0.004701, batch_cost=1.0150, reader_cost=0.0017 | ETA 09:44:57 2020-12-16 00:14:50 [INFO] [TRAIN] epoch=123, iter=45430/80000, loss=0.1882, lr=0.004700, batch_cost=1.2364, reader_cost=0.0001 | ETA 11:52:23 2020-12-16 00:15:03 [INFO] [TRAIN] epoch=123, iter=45440/80000, loss=0.1766, lr=0.004698, batch_cost=1.2675, reader_cost=0.0003 | ETA 12:10:03 2020-12-16 00:15:16 [INFO] [TRAIN] epoch=123, iter=45450/80000, loss=0.1627, lr=0.004697, batch_cost=1.3145, reader_cost=0.0054 | ETA 12:36:55 2020-12-16 00:15:28 [INFO] [TRAIN] epoch=123, iter=45460/80000, loss=0.1501, lr=0.004696, batch_cost=1.2242, reader_cost=0.0032 | ETA 11:44:43 2020-12-16 00:15:41 [INFO] [TRAIN] epoch=123, iter=45470/80000, loss=0.1781, lr=0.004695, batch_cost=1.3000, reader_cost=0.0010 | ETA 12:28:07 2020-12-16 00:15:53 [INFO] [TRAIN] epoch=123, iter=45480/80000, loss=0.3904, lr=0.004693, batch_cost=1.1865, reader_cost=0.0001 | ETA 11:22:38 2020-12-16 00:16:06 [INFO] [TRAIN] epoch=123, iter=45490/80000, loss=0.2070, lr=0.004692, batch_cost=1.3105, reader_cost=0.0001 | ETA 12:33:44 2020-12-16 00:16:20 [INFO] [TRAIN] epoch=123, iter=45500/80000, loss=0.2580, lr=0.004691, batch_cost=1.3579, reader_cost=0.0001 | ETA 13:00:45 2020-12-16 00:16:32 [INFO] [TRAIN] epoch=123, iter=45510/80000, loss=0.1905, lr=0.004690, batch_cost=1.1843, reader_cost=0.0009 | ETA 11:20:47 2020-12-16 00:16:43 [INFO] [TRAIN] epoch=123, iter=45520/80000, loss=0.1587, lr=0.004689, batch_cost=1.1379, reader_cost=0.0001 | ETA 10:53:56 2020-12-16 00:16:56 [INFO] [TRAIN] epoch=123, iter=45530/80000, loss=0.2151, lr=0.004687, batch_cost=1.2717, reader_cost=0.0001 | ETA 12:10:34 2020-12-16 00:17:09 [INFO] [TRAIN] epoch=123, iter=45540/80000, loss=0.1580, lr=0.004686, batch_cost=1.2786, reader_cost=0.0001 | ETA 12:14:19 2020-12-16 00:17:21 [INFO] [TRAIN] epoch=123, iter=45550/80000, loss=0.1337, lr=0.004685, batch_cost=1.2719, reader_cost=0.0005 | ETA 12:10:17 2020-12-16 00:17:34 [INFO] [TRAIN] epoch=123, iter=45560/80000, loss=0.1452, lr=0.004684, batch_cost=1.2575, reader_cost=0.0029 | ETA 12:01:48 2020-12-16 00:17:46 [INFO] [TRAIN] epoch=123, iter=45570/80000, loss=0.3379, lr=0.004682, batch_cost=1.2646, reader_cost=0.0024 | ETA 12:05:38 2020-12-16 00:17:59 [INFO] [TRAIN] epoch=123, iter=45580/80000, loss=0.1537, lr=0.004681, batch_cost=1.2929, reader_cost=0.0001 | ETA 12:21:40 2020-12-16 00:18:12 [INFO] [TRAIN] epoch=123, iter=45590/80000, loss=0.1425, lr=0.004680, batch_cost=1.2158, reader_cost=0.0001 | ETA 11:37:14 2020-12-16 00:18:23 [INFO] [TRAIN] epoch=123, iter=45600/80000, loss=0.1821, lr=0.004679, batch_cost=1.1208, reader_cost=0.0042 | ETA 10:42:36 2020-12-16 00:18:35 [INFO] [TRAIN] epoch=123, iter=45610/80000, loss=0.1832, lr=0.004678, batch_cost=1.2041, reader_cost=0.0010 | ETA 11:30:09 2020-12-16 00:18:47 [INFO] [TRAIN] epoch=123, iter=45620/80000, loss=0.1573, lr=0.004676, batch_cost=1.1897, reader_cost=0.0004 | ETA 11:21:42 2020-12-16 00:18:55 [INFO] [TRAIN] epoch=123, iter=45630/80000, loss=0.1782, lr=0.004675, batch_cost=0.8742, reader_cost=0.0001 | ETA 08:20:45 2020-12-16 00:19:05 [INFO] [TRAIN] epoch=123, iter=45640/80000, loss=0.1566, lr=0.004674, batch_cost=0.9061, reader_cost=0.0014 | ETA 08:38:54 2020-12-16 00:19:14 [INFO] [TRAIN] epoch=123, iter=45650/80000, loss=0.1456, lr=0.004673, batch_cost=0.9532, reader_cost=0.0025 | ETA 09:05:41 2020-12-16 00:19:27 [INFO] [TRAIN] epoch=123, iter=45660/80000, loss=0.1768, lr=0.004671, batch_cost=1.2569, reader_cost=0.0026 | ETA 11:59:22 2020-12-16 00:19:39 [INFO] [TRAIN] epoch=123, iter=45670/80000, loss=0.1351, lr=0.004670, batch_cost=1.2662, reader_cost=0.0004 | ETA 12:04:28 2020-12-16 00:19:51 [INFO] [TRAIN] epoch=123, iter=45680/80000, loss=0.1452, lr=0.004669, batch_cost=1.1860, reader_cost=0.0001 | ETA 11:18:24 2020-12-16 00:20:03 [INFO] [TRAIN] epoch=123, iter=45690/80000, loss=0.1830, lr=0.004668, batch_cost=1.1845, reader_cost=0.0002 | ETA 11:17:21 2020-12-16 00:20:15 [INFO] [TRAIN] epoch=123, iter=45700/80000, loss=0.1752, lr=0.004667, batch_cost=1.1838, reader_cost=0.0010 | ETA 11:16:43 2020-12-16 00:20:27 [INFO] [TRAIN] epoch=123, iter=45710/80000, loss=0.1549, lr=0.004665, batch_cost=1.2499, reader_cost=0.0005 | ETA 11:54:19 2020-12-16 00:20:40 [INFO] [TRAIN] epoch=123, iter=45720/80000, loss=0.1687, lr=0.004664, batch_cost=1.2947, reader_cost=0.0041 | ETA 12:19:43 2020-12-16 00:20:52 [INFO] [TRAIN] epoch=123, iter=45730/80000, loss=0.1699, lr=0.004663, batch_cost=1.2193, reader_cost=0.0001 | ETA 11:36:26 2020-12-16 00:21:04 [INFO] [TRAIN] epoch=123, iter=45740/80000, loss=0.2015, lr=0.004662, batch_cost=1.1944, reader_cost=0.0024 | ETA 11:22:01 2020-12-16 00:21:17 [INFO] [TRAIN] epoch=123, iter=45750/80000, loss=0.1911, lr=0.004660, batch_cost=1.2370, reader_cost=0.0004 | ETA 11:46:05 2020-12-16 00:21:28 [INFO] [TRAIN] epoch=124, iter=45760/80000, loss=0.1814, lr=0.004659, batch_cost=1.1649, reader_cost=0.0676 | ETA 11:04:44 2020-12-16 00:21:40 [INFO] [TRAIN] epoch=124, iter=45770/80000, loss=0.1748, lr=0.004658, batch_cost=1.1436, reader_cost=0.0001 | ETA 10:52:25 2020-12-16 00:21:52 [INFO] [TRAIN] epoch=124, iter=45780/80000, loss=0.1021, lr=0.004657, batch_cost=1.2031, reader_cost=0.0001 | ETA 11:26:10 2020-12-16 00:22:03 [INFO] [TRAIN] epoch=124, iter=45790/80000, loss=0.1929, lr=0.004656, batch_cost=1.1309, reader_cost=0.0001 | ETA 10:44:48 2020-12-16 00:22:15 [INFO] [TRAIN] epoch=124, iter=45800/80000, loss=0.1474, lr=0.004654, batch_cost=1.2178, reader_cost=0.0005 | ETA 11:34:09 2020-12-16 00:22:28 [INFO] [TRAIN] epoch=124, iter=45810/80000, loss=0.1307, lr=0.004653, batch_cost=1.2749, reader_cost=0.0001 | ETA 12:06:27 2020-12-16 00:22:41 [INFO] [TRAIN] epoch=124, iter=45820/80000, loss=0.1935, lr=0.004652, batch_cost=1.2348, reader_cost=0.0004 | ETA 11:43:26 2020-12-16 00:22:53 [INFO] [TRAIN] epoch=124, iter=45830/80000, loss=0.1322, lr=0.004651, batch_cost=1.2221, reader_cost=0.0001 | ETA 11:35:57 2020-12-16 00:23:05 [INFO] [TRAIN] epoch=124, iter=45840/80000, loss=0.1900, lr=0.004649, batch_cost=1.2425, reader_cost=0.0011 | ETA 11:47:22 2020-12-16 00:23:17 [INFO] [TRAIN] epoch=124, iter=45850/80000, loss=0.1684, lr=0.004648, batch_cost=1.1637, reader_cost=0.0002 | ETA 11:02:21 2020-12-16 00:23:26 [INFO] [TRAIN] epoch=124, iter=45860/80000, loss=0.1563, lr=0.004647, batch_cost=0.8793, reader_cost=0.0001 | ETA 08:20:20 2020-12-16 00:23:35 [INFO] [TRAIN] epoch=124, iter=45870/80000, loss=0.1871, lr=0.004646, batch_cost=0.9027, reader_cost=0.0001 | ETA 08:33:30 2020-12-16 00:23:45 [INFO] [TRAIN] epoch=124, iter=45880/80000, loss=0.1335, lr=0.004644, batch_cost=1.0358, reader_cost=0.0001 | ETA 09:49:01 2020-12-16 00:23:58 [INFO] [TRAIN] epoch=124, iter=45890/80000, loss=0.1348, lr=0.004643, batch_cost=1.3013, reader_cost=0.0001 | ETA 12:19:47 2020-12-16 00:24:11 [INFO] [TRAIN] epoch=124, iter=45900/80000, loss=0.1622, lr=0.004642, batch_cost=1.2618, reader_cost=0.0015 | ETA 11:57:07 2020-12-16 00:24:22 [INFO] [TRAIN] epoch=124, iter=45910/80000, loss=0.1452, lr=0.004641, batch_cost=1.1775, reader_cost=0.0008 | ETA 11:09:02 2020-12-16 00:24:35 [INFO] [TRAIN] epoch=124, iter=45920/80000, loss=0.1559, lr=0.004640, batch_cost=1.2592, reader_cost=0.0026 | ETA 11:55:12 2020-12-16 00:24:46 [INFO] [TRAIN] epoch=124, iter=45930/80000, loss=0.1873, lr=0.004638, batch_cost=1.1338, reader_cost=0.0016 | ETA 10:43:47 2020-12-16 00:24:59 [INFO] [TRAIN] epoch=124, iter=45940/80000, loss=0.1315, lr=0.004637, batch_cost=1.2458, reader_cost=0.0014 | ETA 11:47:10 2020-12-16 00:25:10 [INFO] [TRAIN] epoch=124, iter=45950/80000, loss=0.1505, lr=0.004636, batch_cost=1.1192, reader_cost=0.0001 | ETA 10:35:09 2020-12-16 00:25:22 [INFO] [TRAIN] epoch=124, iter=45960/80000, loss=0.1672, lr=0.004635, batch_cost=1.2259, reader_cost=0.0028 | ETA 11:35:28 2020-12-16 00:25:36 [INFO] [TRAIN] epoch=124, iter=45970/80000, loss=0.1777, lr=0.004633, batch_cost=1.3523, reader_cost=0.0004 | ETA 12:46:59 2020-12-16 00:25:47 [INFO] [TRAIN] epoch=124, iter=45980/80000, loss=0.1919, lr=0.004632, batch_cost=1.1219, reader_cost=0.0001 | ETA 10:36:06 2020-12-16 00:25:59 [INFO] [TRAIN] epoch=124, iter=45990/80000, loss=0.1887, lr=0.004631, batch_cost=1.1918, reader_cost=0.0001 | ETA 11:15:33 2020-12-16 00:26:11 [INFO] [TRAIN] epoch=124, iter=46000/80000, loss=0.1497, lr=0.004630, batch_cost=1.2142, reader_cost=0.0032 | ETA 11:28:03 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 00:26:11 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 00:27:02 [INFO] [EVAL] #Images=500 mIoU=0.7868 Acc=0.9612 Kappa=0.9496 2020-12-16 00:27:02 [INFO] [EVAL] Class IoU: [0.9829 0.8557 0.925 0.6201 0.6113 0.5907 0.7037 0.7774 0.9238 0.6434 0.9457 0.814 0.624 0.9501 0.8451 0.9005 0.8102 0.6562 0.7689] 2020-12-16 00:27:02 [INFO] [EVAL] Class Acc: [0.9935 0.9106 0.953 0.8239 0.8617 0.8012 0.8482 0.8972 0.9529 0.876 0.9698 0.8797 0.7451 0.9729 0.9274 0.9621 0.9363 0.8622 0.8756] 2020-12-16 00:27:12 [INFO] [EVAL] The model with the best validation mIoU (0.7868) was saved at iter 46000. 2020-12-16 00:27:23 [INFO] [TRAIN] epoch=124, iter=46010/80000, loss=0.1864, lr=0.004629, batch_cost=1.1029, reader_cost=0.0001 | ETA 10:24:46 2020-12-16 00:27:35 [INFO] [TRAIN] epoch=124, iter=46020/80000, loss=0.1185, lr=0.004627, batch_cost=1.2080, reader_cost=0.0001 | ETA 11:24:09 2020-12-16 00:27:48 [INFO] [TRAIN] epoch=124, iter=46030/80000, loss=0.1686, lr=0.004626, batch_cost=1.2491, reader_cost=0.0013 | ETA 11:47:13 2020-12-16 00:27:57 [INFO] [TRAIN] epoch=124, iter=46040/80000, loss=0.1471, lr=0.004625, batch_cost=0.9883, reader_cost=0.0004 | ETA 09:19:22 2020-12-16 00:28:05 [INFO] [TRAIN] epoch=124, iter=46050/80000, loss=0.1829, lr=0.004624, batch_cost=0.8060, reader_cost=0.0001 | ETA 07:36:03 2020-12-16 00:28:15 [INFO] [TRAIN] epoch=124, iter=46060/80000, loss=0.1398, lr=0.004622, batch_cost=0.9614, reader_cost=0.0001 | ETA 09:03:49 2020-12-16 00:28:27 [INFO] [TRAIN] epoch=124, iter=46070/80000, loss=0.2066, lr=0.004621, batch_cost=1.1596, reader_cost=0.0007 | ETA 10:55:45 2020-12-16 00:28:38 [INFO] [TRAIN] epoch=124, iter=46080/80000, loss=0.1295, lr=0.004620, batch_cost=1.1122, reader_cost=0.0017 | ETA 10:28:44 2020-12-16 00:28:50 [INFO] [TRAIN] epoch=124, iter=46090/80000, loss=0.1589, lr=0.004619, batch_cost=1.2083, reader_cost=0.0017 | ETA 11:22:52 2020-12-16 00:29:02 [INFO] [TRAIN] epoch=124, iter=46100/80000, loss=0.1407, lr=0.004618, batch_cost=1.1846, reader_cost=0.0001 | ETA 11:09:18 2020-12-16 00:29:13 [INFO] [TRAIN] epoch=124, iter=46110/80000, loss=0.1586, lr=0.004616, batch_cost=1.1600, reader_cost=0.0001 | ETA 10:55:12 2020-12-16 00:29:25 [INFO] [TRAIN] epoch=124, iter=46120/80000, loss=0.1337, lr=0.004615, batch_cost=1.1378, reader_cost=0.0011 | ETA 10:42:28 2020-12-16 00:29:35 [INFO] [TRAIN] epoch=125, iter=46130/80000, loss=0.1774, lr=0.004614, batch_cost=1.0147, reader_cost=0.0716 | ETA 09:32:49 2020-12-16 00:29:43 [INFO] [TRAIN] epoch=125, iter=46140/80000, loss=0.1632, lr=0.004613, batch_cost=0.8335, reader_cost=0.0001 | ETA 07:50:22 2020-12-16 00:29:51 [INFO] [TRAIN] epoch=125, iter=46150/80000, loss=0.1666, lr=0.004611, batch_cost=0.8277, reader_cost=0.0001 | ETA 07:46:59 2020-12-16 00:29:59 [INFO] [TRAIN] epoch=125, iter=46160/80000, loss=0.2125, lr=0.004610, batch_cost=0.7865, reader_cost=0.0001 | ETA 07:23:34 2020-12-16 00:30:07 [INFO] [TRAIN] epoch=125, iter=46170/80000, loss=0.1768, lr=0.004609, batch_cost=0.8032, reader_cost=0.0001 | ETA 07:32:50 2020-12-16 00:30:18 [INFO] [TRAIN] epoch=125, iter=46180/80000, loss=0.1966, lr=0.004608, batch_cost=1.0764, reader_cost=0.0001 | ETA 10:06:44 2020-12-16 00:30:30 [INFO] [TRAIN] epoch=125, iter=46190/80000, loss=0.2045, lr=0.004607, batch_cost=1.2268, reader_cost=0.0002 | ETA 11:31:17 2020-12-16 00:30:43 [INFO] [TRAIN] epoch=125, iter=46200/80000, loss=0.1711, lr=0.004605, batch_cost=1.2570, reader_cost=0.0022 | ETA 11:48:06 2020-12-16 00:30:54 [INFO] [TRAIN] epoch=125, iter=46210/80000, loss=0.1425, lr=0.004604, batch_cost=1.1361, reader_cost=0.0012 | ETA 10:39:49 2020-12-16 00:31:06 [INFO] [TRAIN] epoch=125, iter=46220/80000, loss=0.1975, lr=0.004603, batch_cost=1.1711, reader_cost=0.0001 | ETA 10:59:18 2020-12-16 00:31:19 [INFO] [TRAIN] epoch=125, iter=46230/80000, loss=0.1574, lr=0.004602, batch_cost=1.2469, reader_cost=0.0001 | ETA 11:41:47 2020-12-16 00:31:31 [INFO] [TRAIN] epoch=125, iter=46240/80000, loss=0.2077, lr=0.004600, batch_cost=1.2596, reader_cost=0.0012 | ETA 11:48:42 2020-12-16 00:31:44 [INFO] [TRAIN] epoch=125, iter=46250/80000, loss=0.1510, lr=0.004599, batch_cost=1.2548, reader_cost=0.0043 | ETA 11:45:48 2020-12-16 00:31:57 [INFO] [TRAIN] epoch=125, iter=46260/80000, loss=0.2499, lr=0.004598, batch_cost=1.2913, reader_cost=0.0001 | ETA 12:06:08 2020-12-16 00:32:09 [INFO] [TRAIN] epoch=125, iter=46270/80000, loss=0.1635, lr=0.004597, batch_cost=1.2065, reader_cost=0.0028 | ETA 11:18:15 2020-12-16 00:32:21 [INFO] [TRAIN] epoch=125, iter=46280/80000, loss=0.2444, lr=0.004595, batch_cost=1.2794, reader_cost=0.0006 | ETA 11:59:00 2020-12-16 00:32:33 [INFO] [TRAIN] epoch=125, iter=46290/80000, loss=0.2384, lr=0.004594, batch_cost=1.1322, reader_cost=0.0001 | ETA 10:36:06 2020-12-16 00:32:44 [INFO] [TRAIN] epoch=125, iter=46300/80000, loss=0.2047, lr=0.004593, batch_cost=1.1481, reader_cost=0.0009 | ETA 10:44:51 2020-12-16 00:32:56 [INFO] [TRAIN] epoch=125, iter=46310/80000, loss=0.1540, lr=0.004592, batch_cost=1.2036, reader_cost=0.0002 | ETA 11:15:48 2020-12-16 00:33:05 [INFO] [TRAIN] epoch=125, iter=46320/80000, loss=0.1449, lr=0.004591, batch_cost=0.9033, reader_cost=0.0002 | ETA 08:27:03 2020-12-16 00:33:14 [INFO] [TRAIN] epoch=125, iter=46330/80000, loss=0.1286, lr=0.004589, batch_cost=0.8339, reader_cost=0.0001 | ETA 07:47:57 2020-12-16 00:33:22 [INFO] [TRAIN] epoch=125, iter=46340/80000, loss=0.1593, lr=0.004588, batch_cost=0.8773, reader_cost=0.0001 | ETA 08:12:08 2020-12-16 00:33:34 [INFO] [TRAIN] epoch=125, iter=46350/80000, loss=0.1680, lr=0.004587, batch_cost=1.1522, reader_cost=0.0046 | ETA 10:46:12 2020-12-16 00:33:46 [INFO] [TRAIN] epoch=125, iter=46360/80000, loss=0.1385, lr=0.004586, batch_cost=1.2467, reader_cost=0.0001 | ETA 11:38:59 2020-12-16 00:33:59 [INFO] [TRAIN] epoch=125, iter=46370/80000, loss=0.1291, lr=0.004584, batch_cost=1.2074, reader_cost=0.0025 | ETA 11:16:45 2020-12-16 00:34:11 [INFO] [TRAIN] epoch=125, iter=46380/80000, loss=0.1700, lr=0.004583, batch_cost=1.2190, reader_cost=0.0001 | ETA 11:23:01 2020-12-16 00:34:23 [INFO] [TRAIN] epoch=125, iter=46390/80000, loss=0.1515, lr=0.004582, batch_cost=1.2436, reader_cost=0.0003 | ETA 11:36:38 2020-12-16 00:34:35 [INFO] [TRAIN] epoch=125, iter=46400/80000, loss=0.1886, lr=0.004581, batch_cost=1.1557, reader_cost=0.0014 | ETA 10:47:10 2020-12-16 00:34:47 [INFO] [TRAIN] epoch=125, iter=46410/80000, loss=0.1552, lr=0.004580, batch_cost=1.2561, reader_cost=0.0029 | ETA 11:43:13 2020-12-16 00:35:00 [INFO] [TRAIN] epoch=125, iter=46420/80000, loss=0.2842, lr=0.004578, batch_cost=1.2439, reader_cost=0.0024 | ETA 11:36:08 2020-12-16 00:35:12 [INFO] [TRAIN] epoch=125, iter=46430/80000, loss=0.1896, lr=0.004577, batch_cost=1.2444, reader_cost=0.0035 | ETA 11:36:14 2020-12-16 00:35:24 [INFO] [TRAIN] epoch=125, iter=46440/80000, loss=0.1793, lr=0.004576, batch_cost=1.2124, reader_cost=0.0017 | ETA 11:18:07 2020-12-16 00:35:36 [INFO] [TRAIN] epoch=125, iter=46450/80000, loss=0.1414, lr=0.004575, batch_cost=1.1945, reader_cost=0.0011 | ETA 11:07:54 2020-12-16 00:35:49 [INFO] [TRAIN] epoch=125, iter=46460/80000, loss=0.1475, lr=0.004573, batch_cost=1.2315, reader_cost=0.0001 | ETA 11:28:24 2020-12-16 00:36:00 [INFO] [TRAIN] epoch=125, iter=46470/80000, loss=0.1283, lr=0.004572, batch_cost=1.1414, reader_cost=0.0001 | ETA 10:37:49 2020-12-16 00:36:13 [INFO] [TRAIN] epoch=125, iter=46480/80000, loss=0.2693, lr=0.004571, batch_cost=1.2793, reader_cost=0.0001 | ETA 11:54:41 2020-12-16 00:36:25 [INFO] [TRAIN] epoch=125, iter=46490/80000, loss=0.1926, lr=0.004570, batch_cost=1.2077, reader_cost=0.0004 | ETA 11:14:30 2020-12-16 00:36:35 [INFO] [TRAIN] epoch=125, iter=46500/80000, loss=0.1863, lr=0.004568, batch_cost=1.0077, reader_cost=0.0005 | ETA 09:22:37 2020-12-16 00:36:49 [INFO] [TRAIN] epoch=126, iter=46510/80000, loss=0.1393, lr=0.004567, batch_cost=1.4021, reader_cost=0.0636 | ETA 13:02:36 2020-12-16 00:37:00 [INFO] [TRAIN] epoch=126, iter=46520/80000, loss=0.1080, lr=0.004566, batch_cost=1.1301, reader_cost=0.0001 | ETA 10:30:35 2020-12-16 00:37:12 [INFO] [TRAIN] epoch=126, iter=46530/80000, loss=0.2341, lr=0.004565, batch_cost=1.1476, reader_cost=0.0001 | ETA 10:40:10 2020-12-16 00:37:23 [INFO] [TRAIN] epoch=126, iter=46540/80000, loss=0.1563, lr=0.004564, batch_cost=1.1425, reader_cost=0.0014 | ETA 10:37:06 2020-12-16 00:37:36 [INFO] [TRAIN] epoch=126, iter=46550/80000, loss=0.1707, lr=0.004562, batch_cost=1.2737, reader_cost=0.0002 | ETA 11:50:04 2020-12-16 00:37:44 [INFO] [TRAIN] epoch=126, iter=46560/80000, loss=0.1714, lr=0.004561, batch_cost=0.8138, reader_cost=0.0001 | ETA 07:33:33 2020-12-16 00:37:53 [INFO] [TRAIN] epoch=126, iter=46570/80000, loss=0.1291, lr=0.004560, batch_cost=0.8959, reader_cost=0.0002 | ETA 08:19:08 2020-12-16 00:38:03 [INFO] [TRAIN] epoch=126, iter=46580/80000, loss=0.1306, lr=0.004559, batch_cost=0.9739, reader_cost=0.0001 | ETA 09:02:28 2020-12-16 00:38:16 [INFO] [TRAIN] epoch=126, iter=46590/80000, loss=0.1451, lr=0.004557, batch_cost=1.2824, reader_cost=0.0053 | ETA 11:54:06 2020-12-16 00:38:28 [INFO] [TRAIN] epoch=126, iter=46600/80000, loss=0.1405, lr=0.004556, batch_cost=1.1976, reader_cost=0.0001 | ETA 11:06:38 2020-12-16 00:38:40 [INFO] [TRAIN] epoch=126, iter=46610/80000, loss=0.2269, lr=0.004555, batch_cost=1.2175, reader_cost=0.0031 | ETA 11:17:32 2020-12-16 00:38:52 [INFO] [TRAIN] epoch=126, iter=46620/80000, loss=0.1561, lr=0.004554, batch_cost=1.2145, reader_cost=0.0001 | ETA 11:15:39 2020-12-16 00:39:04 [INFO] [TRAIN] epoch=126, iter=46630/80000, loss=0.1706, lr=0.004553, batch_cost=1.2012, reader_cost=0.0001 | ETA 11:08:05 2020-12-16 00:39:15 [INFO] [TRAIN] epoch=126, iter=46640/80000, loss=0.1540, lr=0.004551, batch_cost=1.1228, reader_cost=0.0004 | ETA 10:24:15 2020-12-16 00:39:26 [INFO] [TRAIN] epoch=126, iter=46650/80000, loss=0.1982, lr=0.004550, batch_cost=1.1279, reader_cost=0.0001 | ETA 10:26:57 2020-12-16 00:39:39 [INFO] [TRAIN] epoch=126, iter=46660/80000, loss=0.1811, lr=0.004549, batch_cost=1.2559, reader_cost=0.0001 | ETA 11:37:52 2020-12-16 00:39:50 [INFO] [TRAIN] epoch=126, iter=46670/80000, loss=0.1735, lr=0.004548, batch_cost=1.1264, reader_cost=0.0023 | ETA 10:25:43 2020-12-16 00:40:02 [INFO] [TRAIN] epoch=126, iter=46680/80000, loss=0.1462, lr=0.004546, batch_cost=1.2271, reader_cost=0.0010 | ETA 11:21:26 2020-12-16 00:40:16 [INFO] [TRAIN] epoch=126, iter=46690/80000, loss=0.2665, lr=0.004545, batch_cost=1.3222, reader_cost=0.0003 | ETA 12:14:02 2020-12-16 00:40:28 [INFO] [TRAIN] epoch=126, iter=46700/80000, loss=0.1441, lr=0.004544, batch_cost=1.2487, reader_cost=0.0001 | ETA 11:33:03 2020-12-16 00:40:40 [INFO] [TRAIN] epoch=126, iter=46710/80000, loss=0.1590, lr=0.004543, batch_cost=1.1990, reader_cost=0.0003 | ETA 11:05:14 2020-12-16 00:40:53 [INFO] [TRAIN] epoch=126, iter=46720/80000, loss=0.1301, lr=0.004541, batch_cost=1.2513, reader_cost=0.0004 | ETA 11:34:02 2020-12-16 00:41:04 [INFO] [TRAIN] epoch=126, iter=46730/80000, loss=0.1429, lr=0.004540, batch_cost=1.1038, reader_cost=0.0021 | ETA 10:12:02 2020-12-16 00:41:16 [INFO] [TRAIN] epoch=126, iter=46740/80000, loss=0.1360, lr=0.004539, batch_cost=1.2422, reader_cost=0.0001 | ETA 11:28:36 2020-12-16 00:41:28 [INFO] [TRAIN] epoch=126, iter=46750/80000, loss=0.1928, lr=0.004538, batch_cost=1.1965, reader_cost=0.0005 | ETA 11:03:02 2020-12-16 00:41:40 [INFO] [TRAIN] epoch=126, iter=46760/80000, loss=0.1263, lr=0.004537, batch_cost=1.2349, reader_cost=0.0001 | ETA 11:24:08 2020-12-16 00:41:53 [INFO] [TRAIN] epoch=126, iter=46770/80000, loss=0.1956, lr=0.004535, batch_cost=1.2912, reader_cost=0.0023 | ETA 11:55:07 2020-12-16 00:42:06 [INFO] [TRAIN] epoch=126, iter=46780/80000, loss=0.1269, lr=0.004534, batch_cost=1.2895, reader_cost=0.0002 | ETA 11:53:58 2020-12-16 00:42:16 [INFO] [TRAIN] epoch=126, iter=46790/80000, loss=0.1813, lr=0.004533, batch_cost=0.9365, reader_cost=0.0002 | ETA 08:38:20 2020-12-16 00:42:24 [INFO] [TRAIN] epoch=126, iter=46800/80000, loss=0.1422, lr=0.004532, batch_cost=0.8626, reader_cost=0.0001 | ETA 07:57:19 2020-12-16 00:42:35 [INFO] [TRAIN] epoch=126, iter=46810/80000, loss=0.1833, lr=0.004530, batch_cost=1.0542, reader_cost=0.0010 | ETA 09:43:08 2020-12-16 00:42:46 [INFO] [TRAIN] epoch=126, iter=46820/80000, loss=0.1318, lr=0.004529, batch_cost=1.1626, reader_cost=0.0006 | ETA 10:42:55 2020-12-16 00:42:58 [INFO] [TRAIN] epoch=126, iter=46830/80000, loss=0.1627, lr=0.004528, batch_cost=1.1671, reader_cost=0.0030 | ETA 10:45:12 2020-12-16 00:43:12 [INFO] [TRAIN] epoch=126, iter=46840/80000, loss=0.1666, lr=0.004527, batch_cost=1.3414, reader_cost=0.0022 | ETA 12:21:21 2020-12-16 00:43:24 [INFO] [TRAIN] epoch=126, iter=46850/80000, loss=0.1898, lr=0.004525, batch_cost=1.2304, reader_cost=0.0030 | ETA 11:19:46 2020-12-16 00:43:35 [INFO] [TRAIN] epoch=126, iter=46860/80000, loss=0.2056, lr=0.004524, batch_cost=1.1238, reader_cost=0.0005 | ETA 10:20:42 2020-12-16 00:43:44 [INFO] [TRAIN] epoch=126, iter=46870/80000, loss=0.1435, lr=0.004523, batch_cost=0.9414, reader_cost=0.0001 | ETA 08:39:47 2020-12-16 00:43:57 [INFO] [TRAIN] epoch=127, iter=46880/80000, loss=0.1534, lr=0.004522, batch_cost=1.2905, reader_cost=0.0747 | ETA 11:52:20 2020-12-16 00:44:09 [INFO] [TRAIN] epoch=127, iter=46890/80000, loss=0.1426, lr=0.004521, batch_cost=1.2089, reader_cost=0.0044 | ETA 11:07:07 2020-12-16 00:44:21 [INFO] [TRAIN] epoch=127, iter=46900/80000, loss=0.1648, lr=0.004519, batch_cost=1.2005, reader_cost=0.0001 | ETA 11:02:17 2020-12-16 00:44:32 [INFO] [TRAIN] epoch=127, iter=46910/80000, loss=0.1917, lr=0.004518, batch_cost=1.0947, reader_cost=0.0001 | ETA 10:03:42 2020-12-16 00:44:44 [INFO] [TRAIN] epoch=127, iter=46920/80000, loss=0.1575, lr=0.004517, batch_cost=1.1971, reader_cost=0.0007 | ETA 10:59:59 2020-12-16 00:44:56 [INFO] [TRAIN] epoch=127, iter=46930/80000, loss=0.1858, lr=0.004516, batch_cost=1.1122, reader_cost=0.0001 | ETA 10:13:00 2020-12-16 00:45:08 [INFO] [TRAIN] epoch=127, iter=46940/80000, loss=0.1666, lr=0.004514, batch_cost=1.2217, reader_cost=0.0001 | ETA 11:13:08 2020-12-16 00:45:20 [INFO] [TRAIN] epoch=127, iter=46950/80000, loss=0.1851, lr=0.004513, batch_cost=1.2008, reader_cost=0.0020 | ETA 11:01:25 2020-12-16 00:45:32 [INFO] [TRAIN] epoch=127, iter=46960/80000, loss=0.1375, lr=0.004512, batch_cost=1.1905, reader_cost=0.0019 | ETA 10:55:32 2020-12-16 00:45:44 [INFO] [TRAIN] epoch=127, iter=46970/80000, loss=0.2027, lr=0.004511, batch_cost=1.2653, reader_cost=0.0001 | ETA 11:36:32 2020-12-16 00:45:56 [INFO] [TRAIN] epoch=127, iter=46980/80000, loss=0.1698, lr=0.004510, batch_cost=1.1532, reader_cost=0.0001 | ETA 10:34:38 2020-12-16 00:46:08 [INFO] [TRAIN] epoch=127, iter=46990/80000, loss=0.1838, lr=0.004508, batch_cost=1.1892, reader_cost=0.0030 | ETA 10:54:14 2020-12-16 00:46:20 [INFO] [TRAIN] epoch=127, iter=47000/80000, loss=0.1429, lr=0.004507, batch_cost=1.2111, reader_cost=0.0023 | ETA 11:06:06 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 00:46:20 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 00:47:10 [INFO] [EVAL] #Images=500 mIoU=0.7811 Acc=0.9596 Kappa=0.9476 2020-12-16 00:47:10 [INFO] [EVAL] Class IoU: [0.9796 0.8375 0.9271 0.5961 0.6208 0.6048 0.6957 0.7785 0.9219 0.6545 0.9468 0.8112 0.6024 0.9505 0.8463 0.8895 0.8013 0.6214 0.7551] 2020-12-16 00:47:10 [INFO] [EVAL] Class Acc: [0.9936 0.8991 0.9654 0.8155 0.7872 0.7623 0.7879 0.8905 0.9468 0.8431 0.9736 0.8825 0.7565 0.9712 0.9428 0.9581 0.9113 0.8295 0.8131] 2020-12-16 00:47:17 [INFO] [EVAL] The model with the best validation mIoU (0.7868) was saved at iter 46000. 2020-12-16 00:47:30 [INFO] [TRAIN] epoch=127, iter=47010/80000, loss=0.1111, lr=0.004506, batch_cost=1.2697, reader_cost=0.0010 | ETA 11:38:07 2020-12-16 00:47:42 [INFO] [TRAIN] epoch=127, iter=47020/80000, loss=0.2088, lr=0.004505, batch_cost=1.1934, reader_cost=0.0018 | ETA 10:55:58 2020-12-16 00:47:55 [INFO] [TRAIN] epoch=127, iter=47030/80000, loss=0.1844, lr=0.004503, batch_cost=1.2766, reader_cost=0.0024 | ETA 11:41:27 2020-12-16 00:48:07 [INFO] [TRAIN] epoch=127, iter=47040/80000, loss=0.1546, lr=0.004502, batch_cost=1.2104, reader_cost=0.0015 | ETA 11:04:53 2020-12-16 00:48:20 [INFO] [TRAIN] epoch=127, iter=47050/80000, loss=0.1474, lr=0.004501, batch_cost=1.3238, reader_cost=0.0001 | ETA 12:07:00 2020-12-16 00:48:31 [INFO] [TRAIN] epoch=127, iter=47060/80000, loss=0.1427, lr=0.004500, batch_cost=1.1351, reader_cost=0.0015 | ETA 10:23:08 2020-12-16 00:48:43 [INFO] [TRAIN] epoch=127, iter=47070/80000, loss=0.1654, lr=0.004498, batch_cost=1.2057, reader_cost=0.0001 | ETA 11:01:42 2020-12-16 00:48:56 [INFO] [TRAIN] epoch=127, iter=47080/80000, loss=0.1917, lr=0.004497, batch_cost=1.2323, reader_cost=0.0006 | ETA 11:16:07 2020-12-16 00:49:06 [INFO] [TRAIN] epoch=127, iter=47090/80000, loss=0.1803, lr=0.004496, batch_cost=1.0147, reader_cost=0.0006 | ETA 09:16:35 2020-12-16 00:49:17 [INFO] [TRAIN] epoch=127, iter=47100/80000, loss=0.1766, lr=0.004495, batch_cost=1.1443, reader_cost=0.0001 | ETA 10:27:26 2020-12-16 00:49:28 [INFO] [TRAIN] epoch=127, iter=47110/80000, loss=0.2057, lr=0.004494, batch_cost=1.0516, reader_cost=0.0001 | ETA 09:36:27 2020-12-16 00:49:38 [INFO] [TRAIN] epoch=127, iter=47120/80000, loss=0.1386, lr=0.004492, batch_cost=1.0476, reader_cost=0.0005 | ETA 09:34:05 2020-12-16 00:49:49 [INFO] [TRAIN] epoch=127, iter=47130/80000, loss=0.2003, lr=0.004491, batch_cost=1.0814, reader_cost=0.0013 | ETA 09:52:25 2020-12-16 00:50:01 [INFO] [TRAIN] epoch=127, iter=47140/80000, loss=0.1828, lr=0.004490, batch_cost=1.1456, reader_cost=0.0005 | ETA 10:27:23 2020-12-16 00:50:11 [INFO] [TRAIN] epoch=127, iter=47150/80000, loss=0.1550, lr=0.004489, batch_cost=1.0820, reader_cost=0.0023 | ETA 09:52:22 2020-12-16 00:50:23 [INFO] [TRAIN] epoch=127, iter=47160/80000, loss=0.1489, lr=0.004487, batch_cost=1.1883, reader_cost=0.0009 | ETA 10:50:22 2020-12-16 00:50:36 [INFO] [TRAIN] epoch=127, iter=47170/80000, loss=0.2156, lr=0.004486, batch_cost=1.2305, reader_cost=0.0029 | ETA 11:13:16 2020-12-16 00:50:49 [INFO] [TRAIN] epoch=127, iter=47180/80000, loss=0.1486, lr=0.004485, batch_cost=1.3109, reader_cost=0.0013 | ETA 11:57:02 2020-12-16 00:51:02 [INFO] [TRAIN] epoch=127, iter=47190/80000, loss=0.1860, lr=0.004484, batch_cost=1.3312, reader_cost=0.0014 | ETA 12:07:57 2020-12-16 00:51:15 [INFO] [TRAIN] epoch=127, iter=47200/80000, loss=0.1601, lr=0.004482, batch_cost=1.2542, reader_cost=0.0002 | ETA 11:25:39 2020-12-16 00:51:25 [INFO] [TRAIN] epoch=127, iter=47210/80000, loss=0.1395, lr=0.004481, batch_cost=1.0127, reader_cost=0.0005 | ETA 09:13:26 2020-12-16 00:51:33 [INFO] [TRAIN] epoch=127, iter=47220/80000, loss=0.1382, lr=0.004480, batch_cost=0.8311, reader_cost=0.0001 | ETA 07:34:05 2020-12-16 00:51:42 [INFO] [TRAIN] epoch=127, iter=47230/80000, loss=0.1316, lr=0.004479, batch_cost=0.9421, reader_cost=0.0006 | ETA 08:34:31 2020-12-16 00:51:53 [INFO] [TRAIN] epoch=127, iter=47240/80000, loss=0.1595, lr=0.004478, batch_cost=1.0898, reader_cost=0.0001 | ETA 09:55:02 2020-12-16 00:52:05 [INFO] [TRAIN] epoch=128, iter=47250/80000, loss=0.2565, lr=0.004476, batch_cost=1.1646, reader_cost=0.0572 | ETA 10:35:39 2020-12-16 00:52:16 [INFO] [TRAIN] epoch=128, iter=47260/80000, loss=0.1582, lr=0.004475, batch_cost=1.1106, reader_cost=0.0040 | ETA 10:06:01 2020-12-16 00:52:28 [INFO] [TRAIN] epoch=128, iter=47270/80000, loss=0.1734, lr=0.004474, batch_cost=1.2276, reader_cost=0.0053 | ETA 11:09:38 2020-12-16 00:52:40 [INFO] [TRAIN] epoch=128, iter=47280/80000, loss=0.1373, lr=0.004473, batch_cost=1.1120, reader_cost=0.0014 | ETA 10:06:25 2020-12-16 00:52:51 [INFO] [TRAIN] epoch=128, iter=47290/80000, loss=0.1843, lr=0.004471, batch_cost=1.1830, reader_cost=0.0002 | ETA 10:44:56 2020-12-16 00:53:04 [INFO] [TRAIN] epoch=128, iter=47300/80000, loss=0.1375, lr=0.004470, batch_cost=1.2479, reader_cost=0.0021 | ETA 11:20:05 2020-12-16 00:53:16 [INFO] [TRAIN] epoch=128, iter=47310/80000, loss=0.1927, lr=0.004469, batch_cost=1.1798, reader_cost=0.0005 | ETA 10:42:46 2020-12-16 00:53:27 [INFO] [TRAIN] epoch=128, iter=47320/80000, loss=0.1429, lr=0.004468, batch_cost=1.1722, reader_cost=0.0012 | ETA 10:38:28 2020-12-16 00:53:39 [INFO] [TRAIN] epoch=128, iter=47330/80000, loss=0.1234, lr=0.004466, batch_cost=1.1508, reader_cost=0.0022 | ETA 10:26:36 2020-12-16 00:53:50 [INFO] [TRAIN] epoch=128, iter=47340/80000, loss=0.1911, lr=0.004465, batch_cost=1.1255, reader_cost=0.0001 | ETA 10:12:40 2020-12-16 00:54:01 [INFO] [TRAIN] epoch=128, iter=47350/80000, loss=0.2172, lr=0.004464, batch_cost=1.0469, reader_cost=0.0009 | ETA 09:29:40 2020-12-16 00:54:11 [INFO] [TRAIN] epoch=128, iter=47360/80000, loss=0.1409, lr=0.004463, batch_cost=1.0776, reader_cost=0.0001 | ETA 09:46:11 2020-12-16 00:54:23 [INFO] [TRAIN] epoch=128, iter=47370/80000, loss=0.1441, lr=0.004462, batch_cost=1.1446, reader_cost=0.0001 | ETA 10:22:28 2020-12-16 00:54:34 [INFO] [TRAIN] epoch=128, iter=47380/80000, loss=0.1844, lr=0.004460, batch_cost=1.1385, reader_cost=0.0001 | ETA 10:18:57 2020-12-16 00:54:44 [INFO] [TRAIN] epoch=128, iter=47390/80000, loss=0.1400, lr=0.004459, batch_cost=1.0068, reader_cost=0.0001 | ETA 09:07:10 2020-12-16 00:54:52 [INFO] [TRAIN] epoch=128, iter=47400/80000, loss=0.1087, lr=0.004458, batch_cost=0.8019, reader_cost=0.0001 | ETA 07:15:41 2020-12-16 00:55:00 [INFO] [TRAIN] epoch=128, iter=47410/80000, loss=0.1772, lr=0.004457, batch_cost=0.7925, reader_cost=0.0000 | ETA 07:10:29 2020-12-16 00:55:08 [INFO] [TRAIN] epoch=128, iter=47420/80000, loss=0.1330, lr=0.004455, batch_cost=0.8165, reader_cost=0.0001 | ETA 07:23:20 2020-12-16 00:55:16 [INFO] [TRAIN] epoch=128, iter=47430/80000, loss=0.1930, lr=0.004454, batch_cost=0.8100, reader_cost=0.0001 | ETA 07:19:40 2020-12-16 00:55:27 [INFO] [TRAIN] epoch=128, iter=47440/80000, loss=0.2539, lr=0.004453, batch_cost=1.0220, reader_cost=0.0005 | ETA 09:14:34 2020-12-16 00:55:38 [INFO] [TRAIN] epoch=128, iter=47450/80000, loss=0.1227, lr=0.004452, batch_cost=1.1277, reader_cost=0.0001 | ETA 10:11:46 2020-12-16 00:55:50 [INFO] [TRAIN] epoch=128, iter=47460/80000, loss=0.1548, lr=0.004450, batch_cost=1.1982, reader_cost=0.0005 | ETA 10:49:49 2020-12-16 00:56:02 [INFO] [TRAIN] epoch=128, iter=47470/80000, loss=0.1492, lr=0.004449, batch_cost=1.2196, reader_cost=0.0022 | ETA 11:01:14 2020-12-16 00:56:15 [INFO] [TRAIN] epoch=128, iter=47480/80000, loss=0.1399, lr=0.004448, batch_cost=1.2424, reader_cost=0.0006 | ETA 11:13:22 2020-12-16 00:56:27 [INFO] [TRAIN] epoch=128, iter=47490/80000, loss=0.1452, lr=0.004447, batch_cost=1.2503, reader_cost=0.0016 | ETA 11:17:28 2020-12-16 00:56:37 [INFO] [TRAIN] epoch=128, iter=47500/80000, loss=0.1732, lr=0.004446, batch_cost=0.9870, reader_cost=0.0035 | ETA 08:54:37 2020-12-16 00:56:45 [INFO] [TRAIN] epoch=128, iter=47510/80000, loss=0.1542, lr=0.004444, batch_cost=0.8233, reader_cost=0.0001 | ETA 07:25:48 2020-12-16 00:56:55 [INFO] [TRAIN] epoch=128, iter=47520/80000, loss=0.1485, lr=0.004443, batch_cost=0.9623, reader_cost=0.0023 | ETA 08:40:56 2020-12-16 00:57:07 [INFO] [TRAIN] epoch=128, iter=47530/80000, loss=0.1283, lr=0.004442, batch_cost=1.1892, reader_cost=0.0001 | ETA 10:43:33 2020-12-16 00:57:19 [INFO] [TRAIN] epoch=128, iter=47540/80000, loss=0.2129, lr=0.004441, batch_cost=1.2460, reader_cost=0.0001 | ETA 11:14:05 2020-12-16 00:57:32 [INFO] [TRAIN] epoch=128, iter=47550/80000, loss=0.1430, lr=0.004439, batch_cost=1.2323, reader_cost=0.0001 | ETA 11:06:26 2020-12-16 00:57:44 [INFO] [TRAIN] epoch=128, iter=47560/80000, loss=0.1505, lr=0.004438, batch_cost=1.2256, reader_cost=0.0009 | ETA 11:02:36 2020-12-16 00:57:56 [INFO] [TRAIN] epoch=128, iter=47570/80000, loss=0.1425, lr=0.004437, batch_cost=1.2221, reader_cost=0.0001 | ETA 11:00:32 2020-12-16 00:58:07 [INFO] [TRAIN] epoch=128, iter=47580/80000, loss=0.1620, lr=0.004436, batch_cost=1.1276, reader_cost=0.0005 | ETA 10:09:15 2020-12-16 00:58:19 [INFO] [TRAIN] epoch=128, iter=47590/80000, loss=0.1870, lr=0.004434, batch_cost=1.1951, reader_cost=0.0013 | ETA 10:45:33 2020-12-16 00:58:31 [INFO] [TRAIN] epoch=128, iter=47600/80000, loss=0.1726, lr=0.004433, batch_cost=1.1616, reader_cost=0.0009 | ETA 10:27:15 2020-12-16 00:58:42 [INFO] [TRAIN] epoch=128, iter=47610/80000, loss=0.2051, lr=0.004432, batch_cost=1.0928, reader_cost=0.0001 | ETA 09:49:55 2020-12-16 00:58:53 [INFO] [TRAIN] epoch=129, iter=47620/80000, loss=0.1115, lr=0.004431, batch_cost=1.1597, reader_cost=0.0523 | ETA 10:25:52 2020-12-16 00:59:07 [INFO] [TRAIN] epoch=129, iter=47630/80000, loss=0.1437, lr=0.004430, batch_cost=1.3417, reader_cost=0.0018 | ETA 12:03:49 2020-12-16 00:59:19 [INFO] [TRAIN] epoch=129, iter=47640/80000, loss=0.1458, lr=0.004428, batch_cost=1.2254, reader_cost=0.0009 | ETA 11:00:54 2020-12-16 00:59:32 [INFO] [TRAIN] epoch=129, iter=47650/80000, loss=0.1433, lr=0.004427, batch_cost=1.2923, reader_cost=0.0028 | ETA 11:36:46 2020-12-16 00:59:45 [INFO] [TRAIN] epoch=129, iter=47660/80000, loss=0.1657, lr=0.004426, batch_cost=1.2578, reader_cost=0.0017 | ETA 11:17:56 2020-12-16 00:59:57 [INFO] [TRAIN] epoch=129, iter=47670/80000, loss=0.1566, lr=0.004425, batch_cost=1.2457, reader_cost=0.0005 | ETA 11:11:12 2020-12-16 01:00:09 [INFO] [TRAIN] epoch=129, iter=47680/80000, loss=0.2179, lr=0.004423, batch_cost=1.2055, reader_cost=0.0005 | ETA 10:49:22 2020-12-16 01:00:21 [INFO] [TRAIN] epoch=129, iter=47690/80000, loss=0.1477, lr=0.004422, batch_cost=1.1490, reader_cost=0.0001 | ETA 10:18:42 2020-12-16 01:00:32 [INFO] [TRAIN] epoch=129, iter=47700/80000, loss=0.1791, lr=0.004421, batch_cost=1.1562, reader_cost=0.0024 | ETA 10:22:23 2020-12-16 01:00:44 [INFO] [TRAIN] epoch=129, iter=47710/80000, loss=0.1552, lr=0.004420, batch_cost=1.1859, reader_cost=0.0031 | ETA 10:38:11 2020-12-16 01:00:56 [INFO] [TRAIN] epoch=129, iter=47720/80000, loss=0.1781, lr=0.004418, batch_cost=1.1838, reader_cost=0.0001 | ETA 10:36:54 2020-12-16 01:01:09 [INFO] [TRAIN] epoch=129, iter=47730/80000, loss=0.1447, lr=0.004417, batch_cost=1.3143, reader_cost=0.0002 | ETA 11:46:53 2020-12-16 01:01:17 [INFO] [TRAIN] epoch=129, iter=47740/80000, loss=0.1295, lr=0.004416, batch_cost=0.8172, reader_cost=0.0001 | ETA 07:19:22 2020-12-16 01:01:25 [INFO] [TRAIN] epoch=129, iter=47750/80000, loss=0.1075, lr=0.004415, batch_cost=0.8373, reader_cost=0.0010 | ETA 07:30:03 2020-12-16 01:01:35 [INFO] [TRAIN] epoch=129, iter=47760/80000, loss=0.1539, lr=0.004414, batch_cost=0.9098, reader_cost=0.0001 | ETA 08:08:51 2020-12-16 01:01:47 [INFO] [TRAIN] epoch=129, iter=47770/80000, loss=0.1571, lr=0.004412, batch_cost=1.2133, reader_cost=0.0001 | ETA 10:51:45 2020-12-16 01:01:59 [INFO] [TRAIN] epoch=129, iter=47780/80000, loss=0.1696, lr=0.004411, batch_cost=1.2212, reader_cost=0.0014 | ETA 10:55:48 2020-12-16 01:02:12 [INFO] [TRAIN] epoch=129, iter=47790/80000, loss=0.1346, lr=0.004410, batch_cost=1.2859, reader_cost=0.0024 | ETA 11:30:19 2020-12-16 01:02:24 [INFO] [TRAIN] epoch=129, iter=47800/80000, loss=0.1255, lr=0.004409, batch_cost=1.2385, reader_cost=0.0036 | ETA 11:04:39 2020-12-16 01:02:37 [INFO] [TRAIN] epoch=129, iter=47810/80000, loss=0.1406, lr=0.004407, batch_cost=1.2973, reader_cost=0.0005 | ETA 11:36:00 2020-12-16 01:02:49 [INFO] [TRAIN] epoch=129, iter=47820/80000, loss=0.1698, lr=0.004406, batch_cost=1.2034, reader_cost=0.0001 | ETA 10:45:24 2020-12-16 01:03:02 [INFO] [TRAIN] epoch=129, iter=47830/80000, loss=0.1611, lr=0.004405, batch_cost=1.2672, reader_cost=0.0022 | ETA 11:19:26 2020-12-16 01:03:14 [INFO] [TRAIN] epoch=129, iter=47840/80000, loss=0.2066, lr=0.004404, batch_cost=1.2172, reader_cost=0.0001 | ETA 10:52:24 2020-12-16 01:03:26 [INFO] [TRAIN] epoch=129, iter=47850/80000, loss=0.1216, lr=0.004402, batch_cost=1.2353, reader_cost=0.0019 | ETA 11:01:54 2020-12-16 01:03:38 [INFO] [TRAIN] epoch=129, iter=47860/80000, loss=0.2362, lr=0.004401, batch_cost=1.1724, reader_cost=0.0001 | ETA 10:28:00 2020-12-16 01:03:51 [INFO] [TRAIN] epoch=129, iter=47870/80000, loss=0.1892, lr=0.004400, batch_cost=1.2667, reader_cost=0.0009 | ETA 11:18:17 2020-12-16 01:04:03 [INFO] [TRAIN] epoch=129, iter=47880/80000, loss=0.2665, lr=0.004399, batch_cost=1.2523, reader_cost=0.0018 | ETA 11:10:24 2020-12-16 01:04:16 [INFO] [TRAIN] epoch=129, iter=47890/80000, loss=0.1471, lr=0.004398, batch_cost=1.3138, reader_cost=0.0002 | ETA 11:43:05 2020-12-16 01:04:29 [INFO] [TRAIN] epoch=129, iter=47900/80000, loss=0.1398, lr=0.004396, batch_cost=1.2513, reader_cost=0.0002 | ETA 11:09:26 2020-12-16 01:04:43 [INFO] [TRAIN] epoch=129, iter=47910/80000, loss=0.1557, lr=0.004395, batch_cost=1.3859, reader_cost=0.0001 | ETA 12:21:14 2020-12-16 01:04:55 [INFO] [TRAIN] epoch=129, iter=47920/80000, loss=0.1893, lr=0.004394, batch_cost=1.2015, reader_cost=0.0026 | ETA 10:42:24 2020-12-16 01:05:08 [INFO] [TRAIN] epoch=129, iter=47930/80000, loss=0.1625, lr=0.004393, batch_cost=1.2804, reader_cost=0.0005 | ETA 11:24:21 2020-12-16 01:05:21 [INFO] [TRAIN] epoch=129, iter=47940/80000, loss=0.1931, lr=0.004391, batch_cost=1.3144, reader_cost=0.0008 | ETA 11:42:20 2020-12-16 01:05:32 [INFO] [TRAIN] epoch=129, iter=47950/80000, loss=0.1642, lr=0.004390, batch_cost=1.1500, reader_cost=0.0024 | ETA 10:14:19 2020-12-16 01:05:43 [INFO] [TRAIN] epoch=129, iter=47960/80000, loss=0.1641, lr=0.004389, batch_cost=1.0580, reader_cost=0.0001 | ETA 09:24:57 2020-12-16 01:05:51 [INFO] [TRAIN] epoch=129, iter=47970/80000, loss=0.1987, lr=0.004388, batch_cost=0.8109, reader_cost=0.0001 | ETA 07:12:54 2020-12-16 01:06:00 [INFO] [TRAIN] epoch=129, iter=47980/80000, loss=0.1474, lr=0.004386, batch_cost=0.9396, reader_cost=0.0001 | ETA 08:21:27 2020-12-16 01:06:11 [INFO] [TRAIN] epoch=130, iter=47990/80000, loss=0.1414, lr=0.004385, batch_cost=1.0153, reader_cost=0.0718 | ETA 09:01:39 2020-12-16 01:06:23 [INFO] [TRAIN] epoch=130, iter=48000/80000, loss=0.1412, lr=0.004384, batch_cost=1.2936, reader_cost=0.0002 | ETA 11:29:55 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 01:06:24 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 01:07:14 [INFO] [EVAL] #Images=500 mIoU=0.7705 Acc=0.9591 Kappa=0.9469 2020-12-16 01:07:14 [INFO] [EVAL] Class IoU: [0.9823 0.854 0.9199 0.4772 0.5438 0.6064 0.7056 0.7773 0.9234 0.6416 0.9469 0.8083 0.6288 0.9488 0.8049 0.8901 0.7837 0.6332 0.7626] 2020-12-16 01:07:14 [INFO] [EVAL] Class Acc: [0.9906 0.9306 0.9544 0.8023 0.787 0.7611 0.8169 0.8942 0.9523 0.8754 0.9698 0.8661 0.7376 0.9679 0.9234 0.9458 0.8684 0.8277 0.848 ] 2020-12-16 01:07:20 [INFO] [EVAL] The model with the best validation mIoU (0.7868) was saved at iter 46000. 2020-12-16 01:07:32 [INFO] [TRAIN] epoch=130, iter=48010/80000, loss=0.1700, lr=0.004383, batch_cost=1.1394, reader_cost=0.0001 | ETA 10:07:28 2020-12-16 01:07:44 [INFO] [TRAIN] epoch=130, iter=48020/80000, loss=0.1848, lr=0.004381, batch_cost=1.2189, reader_cost=0.0004 | ETA 10:49:38 2020-12-16 01:07:56 [INFO] [TRAIN] epoch=130, iter=48030/80000, loss=0.1630, lr=0.004380, batch_cost=1.2061, reader_cost=0.0011 | ETA 10:42:37 2020-12-16 01:08:08 [INFO] [TRAIN] epoch=130, iter=48040/80000, loss=0.1679, lr=0.004379, batch_cost=1.2018, reader_cost=0.0021 | ETA 10:40:10 2020-12-16 01:08:20 [INFO] [TRAIN] epoch=130, iter=48050/80000, loss=0.1409, lr=0.004378, batch_cost=1.2396, reader_cost=0.0005 | ETA 11:00:04 2020-12-16 01:08:32 [INFO] [TRAIN] epoch=130, iter=48060/80000, loss=0.1700, lr=0.004377, batch_cost=1.1860, reader_cost=0.0005 | ETA 10:31:21 2020-12-16 01:08:45 [INFO] [TRAIN] epoch=130, iter=48070/80000, loss=0.1305, lr=0.004375, batch_cost=1.3081, reader_cost=0.0001 | ETA 11:36:06 2020-12-16 01:08:58 [INFO] [TRAIN] epoch=130, iter=48080/80000, loss=0.1844, lr=0.004374, batch_cost=1.3047, reader_cost=0.0013 | ETA 11:34:06 2020-12-16 01:09:11 [INFO] [TRAIN] epoch=130, iter=48090/80000, loss=0.1278, lr=0.004373, batch_cost=1.2769, reader_cost=0.0001 | ETA 11:19:05 2020-12-16 01:09:24 [INFO] [TRAIN] epoch=130, iter=48100/80000, loss=0.1079, lr=0.004372, batch_cost=1.3324, reader_cost=0.0015 | ETA 11:48:23 2020-12-16 01:09:37 [INFO] [TRAIN] epoch=130, iter=48110/80000, loss=0.1585, lr=0.004370, batch_cost=1.2160, reader_cost=0.0010 | ETA 10:46:16 2020-12-16 01:09:49 [INFO] [TRAIN] epoch=130, iter=48120/80000, loss=0.1515, lr=0.004369, batch_cost=1.2391, reader_cost=0.0001 | ETA 10:58:21 2020-12-16 01:10:01 [INFO] [TRAIN] epoch=130, iter=48130/80000, loss=0.1512, lr=0.004368, batch_cost=1.2333, reader_cost=0.0001 | ETA 10:55:05 2020-12-16 01:10:13 [INFO] [TRAIN] epoch=130, iter=48140/80000, loss=0.1161, lr=0.004367, batch_cost=1.2036, reader_cost=0.0001 | ETA 10:39:06 2020-12-16 01:10:22 [INFO] [TRAIN] epoch=130, iter=48150/80000, loss=0.1621, lr=0.004365, batch_cost=0.8209, reader_cost=0.0001 | ETA 07:15:44 2020-12-16 01:10:31 [INFO] [TRAIN] epoch=130, iter=48160/80000, loss=0.1632, lr=0.004364, batch_cost=0.9076, reader_cost=0.0001 | ETA 08:01:36 2020-12-16 01:10:40 [INFO] [TRAIN] epoch=130, iter=48170/80000, loss=0.1248, lr=0.004363, batch_cost=0.9845, reader_cost=0.0004 | ETA 08:42:17 2020-12-16 01:10:52 [INFO] [TRAIN] epoch=130, iter=48180/80000, loss=0.1781, lr=0.004362, batch_cost=1.1276, reader_cost=0.0008 | ETA 09:58:00 2020-12-16 01:11:04 [INFO] [TRAIN] epoch=130, iter=48190/80000, loss=0.3397, lr=0.004361, batch_cost=1.2057, reader_cost=0.0041 | ETA 10:39:13 2020-12-16 01:11:16 [INFO] [TRAIN] epoch=130, iter=48200/80000, loss=0.1158, lr=0.004359, batch_cost=1.2363, reader_cost=0.0014 | ETA 10:55:13 2020-12-16 01:11:29 [INFO] [TRAIN] epoch=130, iter=48210/80000, loss=0.1822, lr=0.004358, batch_cost=1.3222, reader_cost=0.0001 | ETA 11:40:31 2020-12-16 01:11:43 [INFO] [TRAIN] epoch=130, iter=48220/80000, loss=0.1245, lr=0.004357, batch_cost=1.3286, reader_cost=0.0005 | ETA 11:43:41 2020-12-16 01:11:56 [INFO] [TRAIN] epoch=130, iter=48230/80000, loss=0.1613, lr=0.004356, batch_cost=1.3149, reader_cost=0.0001 | ETA 11:36:14 2020-12-16 01:12:09 [INFO] [TRAIN] epoch=130, iter=48240/80000, loss=0.1349, lr=0.004354, batch_cost=1.3289, reader_cost=0.0004 | ETA 11:43:26 2020-12-16 01:12:22 [INFO] [TRAIN] epoch=130, iter=48250/80000, loss=0.1414, lr=0.004353, batch_cost=1.2821, reader_cost=0.0018 | ETA 11:18:27 2020-12-16 01:12:34 [INFO] [TRAIN] epoch=130, iter=48260/80000, loss=0.2045, lr=0.004352, batch_cost=1.1871, reader_cost=0.0023 | ETA 10:27:58 2020-12-16 01:12:46 [INFO] [TRAIN] epoch=130, iter=48270/80000, loss=0.1564, lr=0.004351, batch_cost=1.1909, reader_cost=0.0001 | ETA 10:29:47 2020-12-16 01:12:58 [INFO] [TRAIN] epoch=130, iter=48280/80000, loss=0.1550, lr=0.004349, batch_cost=1.2248, reader_cost=0.0023 | ETA 10:47:32 2020-12-16 01:13:10 [INFO] [TRAIN] epoch=130, iter=48290/80000, loss=0.1779, lr=0.004348, batch_cost=1.2428, reader_cost=0.0014 | ETA 10:56:50 2020-12-16 01:13:22 [INFO] [TRAIN] epoch=130, iter=48300/80000, loss=0.1622, lr=0.004347, batch_cost=1.1904, reader_cost=0.0002 | ETA 10:28:55 2020-12-16 01:13:34 [INFO] [TRAIN] epoch=130, iter=48310/80000, loss=0.1526, lr=0.004346, batch_cost=1.1614, reader_cost=0.0006 | ETA 10:13:23 2020-12-16 01:13:46 [INFO] [TRAIN] epoch=130, iter=48320/80000, loss=0.1529, lr=0.004344, batch_cost=1.2385, reader_cost=0.0006 | ETA 10:53:56 2020-12-16 01:13:58 [INFO] [TRAIN] epoch=130, iter=48330/80000, loss=0.1733, lr=0.004343, batch_cost=1.1750, reader_cost=0.0005 | ETA 10:20:12 2020-12-16 01:14:10 [INFO] [TRAIN] epoch=130, iter=48340/80000, loss=0.1601, lr=0.004342, batch_cost=1.1751, reader_cost=0.0014 | ETA 10:20:04 2020-12-16 01:14:21 [INFO] [TRAIN] epoch=130, iter=48350/80000, loss=0.1257, lr=0.004341, batch_cost=1.1383, reader_cost=0.0026 | ETA 10:00:27 2020-12-16 01:14:31 [INFO] [TRAIN] epoch=130, iter=48360/80000, loss=0.1872, lr=0.004340, batch_cost=1.0106, reader_cost=0.0001 | ETA 08:52:54 2020-12-16 01:14:44 [INFO] [TRAIN] epoch=131, iter=48370/80000, loss=0.1386, lr=0.004338, batch_cost=1.2894, reader_cost=0.0730 | ETA 11:19:45 2020-12-16 01:14:53 [INFO] [TRAIN] epoch=131, iter=48380/80000, loss=0.1422, lr=0.004337, batch_cost=0.8576, reader_cost=0.0004 | ETA 07:31:57 2020-12-16 01:15:01 [INFO] [TRAIN] epoch=131, iter=48390/80000, loss=0.1748, lr=0.004336, batch_cost=0.8292, reader_cost=0.0001 | ETA 07:16:50 2020-12-16 01:15:11 [INFO] [TRAIN] epoch=131, iter=48400/80000, loss=0.1463, lr=0.004335, batch_cost=0.9638, reader_cost=0.0001 | ETA 08:27:35 2020-12-16 01:15:24 [INFO] [TRAIN] epoch=131, iter=48410/80000, loss=0.1689, lr=0.004333, batch_cost=1.2926, reader_cost=0.0064 | ETA 11:20:34 2020-12-16 01:15:36 [INFO] [TRAIN] epoch=131, iter=48420/80000, loss=0.1363, lr=0.004332, batch_cost=1.2579, reader_cost=0.0001 | ETA 11:02:04 2020-12-16 01:15:48 [INFO] [TRAIN] epoch=131, iter=48430/80000, loss=0.2067, lr=0.004331, batch_cost=1.1991, reader_cost=0.0005 | ETA 10:30:56 2020-12-16 01:16:00 [INFO] [TRAIN] epoch=131, iter=48440/80000, loss=0.1174, lr=0.004330, batch_cost=1.1762, reader_cost=0.0001 | ETA 10:18:42 2020-12-16 01:16:11 [INFO] [TRAIN] epoch=131, iter=48450/80000, loss=0.1492, lr=0.004328, batch_cost=1.1192, reader_cost=0.0032 | ETA 09:48:31 2020-12-16 01:16:24 [INFO] [TRAIN] epoch=131, iter=48460/80000, loss=0.1549, lr=0.004327, batch_cost=1.2554, reader_cost=0.0014 | ETA 10:59:55 2020-12-16 01:16:36 [INFO] [TRAIN] epoch=131, iter=48470/80000, loss=0.1577, lr=0.004326, batch_cost=1.1949, reader_cost=0.0001 | ETA 10:27:55 2020-12-16 01:16:47 [INFO] [TRAIN] epoch=131, iter=48480/80000, loss=0.2023, lr=0.004325, batch_cost=1.1737, reader_cost=0.0015 | ETA 10:16:34 2020-12-16 01:17:00 [INFO] [TRAIN] epoch=131, iter=48490/80000, loss=0.1589, lr=0.004323, batch_cost=1.2286, reader_cost=0.0009 | ETA 10:45:13 2020-12-16 01:17:12 [INFO] [TRAIN] epoch=131, iter=48500/80000, loss=0.1129, lr=0.004322, batch_cost=1.2353, reader_cost=0.0017 | ETA 10:48:33 2020-12-16 01:17:25 [INFO] [TRAIN] epoch=131, iter=48510/80000, loss=0.1672, lr=0.004321, batch_cost=1.2823, reader_cost=0.0025 | ETA 11:13:00 2020-12-16 01:17:37 [INFO] [TRAIN] epoch=131, iter=48520/80000, loss=0.1533, lr=0.004320, batch_cost=1.2128, reader_cost=0.0008 | ETA 10:36:20 2020-12-16 01:17:50 [INFO] [TRAIN] epoch=131, iter=48530/80000, loss=0.1502, lr=0.004319, batch_cost=1.3007, reader_cost=0.0020 | ETA 11:22:11 2020-12-16 01:18:02 [INFO] [TRAIN] epoch=131, iter=48540/80000, loss=0.2218, lr=0.004317, batch_cost=1.1917, reader_cost=0.0001 | ETA 10:24:49 2020-12-16 01:18:14 [INFO] [TRAIN] epoch=131, iter=48550/80000, loss=0.2018, lr=0.004316, batch_cost=1.2123, reader_cost=0.0001 | ETA 10:35:27 2020-12-16 01:18:26 [INFO] [TRAIN] epoch=131, iter=48560/80000, loss=0.1102, lr=0.004315, batch_cost=1.1804, reader_cost=0.0001 | ETA 10:18:30 2020-12-16 01:18:39 [INFO] [TRAIN] epoch=131, iter=48570/80000, loss=0.2081, lr=0.004314, batch_cost=1.3297, reader_cost=0.0001 | ETA 11:36:31 2020-12-16 01:18:52 [INFO] [TRAIN] epoch=131, iter=48580/80000, loss=0.1191, lr=0.004312, batch_cost=1.2693, reader_cost=0.0002 | ETA 11:04:41 2020-12-16 01:19:05 [INFO] [TRAIN] epoch=131, iter=48590/80000, loss=0.1770, lr=0.004311, batch_cost=1.3131, reader_cost=0.0001 | ETA 11:27:24 2020-12-16 01:19:16 [INFO] [TRAIN] epoch=131, iter=48600/80000, loss=0.1138, lr=0.004310, batch_cost=1.0800, reader_cost=0.0004 | ETA 09:25:12 2020-12-16 01:19:24 [INFO] [TRAIN] epoch=131, iter=48610/80000, loss=0.4151, lr=0.004309, batch_cost=0.8396, reader_cost=0.0001 | ETA 07:19:13 2020-12-16 01:19:32 [INFO] [TRAIN] epoch=131, iter=48620/80000, loss=0.1520, lr=0.004307, batch_cost=0.8106, reader_cost=0.0001 | ETA 07:03:56 2020-12-16 01:19:42 [INFO] [TRAIN] epoch=131, iter=48630/80000, loss=0.1127, lr=0.004306, batch_cost=0.9462, reader_cost=0.0001 | ETA 08:14:42 2020-12-16 01:19:53 [INFO] [TRAIN] epoch=131, iter=48640/80000, loss=0.1886, lr=0.004305, batch_cost=1.1151, reader_cost=0.0061 | ETA 09:42:49 2020-12-16 01:20:01 [INFO] [TRAIN] epoch=131, iter=48650/80000, loss=0.2062, lr=0.004304, batch_cost=0.8253, reader_cost=0.0001 | ETA 07:11:12 2020-12-16 01:20:09 [INFO] [TRAIN] epoch=131, iter=48660/80000, loss=0.1661, lr=0.004302, batch_cost=0.8130, reader_cost=0.0001 | ETA 07:04:40 2020-12-16 01:20:18 [INFO] [TRAIN] epoch=131, iter=48670/80000, loss=0.1794, lr=0.004301, batch_cost=0.8267, reader_cost=0.0001 | ETA 07:11:40 2020-12-16 01:20:26 [INFO] [TRAIN] epoch=131, iter=48680/80000, loss=0.1658, lr=0.004300, batch_cost=0.8005, reader_cost=0.0001 | ETA 06:57:53 2020-12-16 01:20:36 [INFO] [TRAIN] epoch=131, iter=48690/80000, loss=0.1521, lr=0.004299, batch_cost=1.0190, reader_cost=0.0021 | ETA 08:51:45 2020-12-16 01:20:47 [INFO] [TRAIN] epoch=131, iter=48700/80000, loss=0.1348, lr=0.004298, batch_cost=1.1299, reader_cost=0.0001 | ETA 09:49:24 2020-12-16 01:20:59 [INFO] [TRAIN] epoch=131, iter=48710/80000, loss=0.1450, lr=0.004296, batch_cost=1.2413, reader_cost=0.0001 | ETA 10:47:19 2020-12-16 01:21:11 [INFO] [TRAIN] epoch=131, iter=48720/80000, loss=0.2218, lr=0.004295, batch_cost=1.1711, reader_cost=0.0013 | ETA 10:10:33 2020-12-16 01:21:22 [INFO] [TRAIN] epoch=131, iter=48730/80000, loss=0.2013, lr=0.004294, batch_cost=1.0797, reader_cost=0.0001 | ETA 09:22:43 2020-12-16 01:21:36 [INFO] [TRAIN] epoch=132, iter=48740/80000, loss=0.1362, lr=0.004293, batch_cost=1.3745, reader_cost=0.0537 | ETA 11:56:06 2020-12-16 01:21:50 [INFO] [TRAIN] epoch=132, iter=48750/80000, loss=0.1285, lr=0.004291, batch_cost=1.3989, reader_cost=0.0005 | ETA 12:08:36 2020-12-16 01:22:02 [INFO] [TRAIN] epoch=132, iter=48760/80000, loss=0.1562, lr=0.004290, batch_cost=1.1858, reader_cost=0.0001 | ETA 10:17:23 2020-12-16 01:22:15 [INFO] [TRAIN] epoch=132, iter=48770/80000, loss=0.2033, lr=0.004289, batch_cost=1.3361, reader_cost=0.0031 | ETA 11:35:26 2020-12-16 01:22:28 [INFO] [TRAIN] epoch=132, iter=48780/80000, loss=0.1507, lr=0.004288, batch_cost=1.3043, reader_cost=0.0002 | ETA 11:18:39 2020-12-16 01:22:42 [INFO] [TRAIN] epoch=132, iter=48790/80000, loss=0.1664, lr=0.004286, batch_cost=1.3553, reader_cost=0.0001 | ETA 11:44:59 2020-12-16 01:22:54 [INFO] [TRAIN] epoch=132, iter=48800/80000, loss=0.1673, lr=0.004285, batch_cost=1.2077, reader_cost=0.0001 | ETA 10:28:01 2020-12-16 01:23:07 [INFO] [TRAIN] epoch=132, iter=48810/80000, loss=0.1288, lr=0.004284, batch_cost=1.3338, reader_cost=0.0001 | ETA 11:33:19 2020-12-16 01:23:19 [INFO] [TRAIN] epoch=132, iter=48820/80000, loss=0.1495, lr=0.004283, batch_cost=1.2032, reader_cost=0.0001 | ETA 10:25:14 2020-12-16 01:23:33 [INFO] [TRAIN] epoch=132, iter=48830/80000, loss=0.1640, lr=0.004281, batch_cost=1.3566, reader_cost=0.0032 | ETA 11:44:45 2020-12-16 01:23:45 [INFO] [TRAIN] epoch=132, iter=48840/80000, loss=0.1642, lr=0.004280, batch_cost=1.2095, reader_cost=0.0001 | ETA 10:28:07 2020-12-16 01:23:57 [INFO] [TRAIN] epoch=132, iter=48850/80000, loss=0.1742, lr=0.004279, batch_cost=1.2748, reader_cost=0.0001 | ETA 11:01:48 2020-12-16 01:24:10 [INFO] [TRAIN] epoch=132, iter=48860/80000, loss=0.1293, lr=0.004278, batch_cost=1.2529, reader_cost=0.0014 | ETA 10:50:16 2020-12-16 01:24:22 [INFO] [TRAIN] epoch=132, iter=48870/80000, loss=0.1432, lr=0.004277, batch_cost=1.2521, reader_cost=0.0022 | ETA 10:49:38 2020-12-16 01:24:31 [INFO] [TRAIN] epoch=132, iter=48880/80000, loss=0.1467, lr=0.004275, batch_cost=0.8425, reader_cost=0.0008 | ETA 07:16:59 2020-12-16 01:24:39 [INFO] [TRAIN] epoch=132, iter=48890/80000, loss=0.2871, lr=0.004274, batch_cost=0.8527, reader_cost=0.0001 | ETA 07:22:08 2020-12-16 01:24:49 [INFO] [TRAIN] epoch=132, iter=48900/80000, loss=0.2131, lr=0.004273, batch_cost=0.9748, reader_cost=0.0003 | ETA 08:25:14 2020-12-16 01:25:02 [INFO] [TRAIN] epoch=132, iter=48910/80000, loss=0.1956, lr=0.004272, batch_cost=1.3227, reader_cost=0.0002 | ETA 11:25:24 2020-12-16 01:25:14 [INFO] [TRAIN] epoch=132, iter=48920/80000, loss=0.1186, lr=0.004270, batch_cost=1.2068, reader_cost=0.0016 | ETA 10:25:07 2020-12-16 01:25:26 [INFO] [TRAIN] epoch=132, iter=48930/80000, loss=0.1201, lr=0.004269, batch_cost=1.1748, reader_cost=0.0001 | ETA 10:08:22 2020-12-16 01:25:38 [INFO] [TRAIN] epoch=132, iter=48940/80000, loss=0.1780, lr=0.004268, batch_cost=1.1872, reader_cost=0.0001 | ETA 10:14:35 2020-12-16 01:25:51 [INFO] [TRAIN] epoch=132, iter=48950/80000, loss=0.1541, lr=0.004267, batch_cost=1.3127, reader_cost=0.0005 | ETA 11:19:19 2020-12-16 01:26:04 [INFO] [TRAIN] epoch=132, iter=48960/80000, loss=0.1780, lr=0.004265, batch_cost=1.2480, reader_cost=0.0001 | ETA 10:45:36 2020-12-16 01:26:15 [INFO] [TRAIN] epoch=132, iter=48970/80000, loss=0.1189, lr=0.004264, batch_cost=1.1321, reader_cost=0.0002 | ETA 09:45:30 2020-12-16 01:26:27 [INFO] [TRAIN] epoch=132, iter=48980/80000, loss=0.1840, lr=0.004263, batch_cost=1.1552, reader_cost=0.0014 | ETA 09:57:13 2020-12-16 01:26:39 [INFO] [TRAIN] epoch=132, iter=48990/80000, loss=0.1184, lr=0.004262, batch_cost=1.2601, reader_cost=0.0001 | ETA 10:51:16 2020-12-16 01:26:51 [INFO] [TRAIN] epoch=132, iter=49000/80000, loss=0.1509, lr=0.004260, batch_cost=1.1815, reader_cost=0.0007 | ETA 10:10:27 aug_eval False scales 1.0 2020-12-16 01:26:51 [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 01:27:42 [INFO] [EVAL] #Images=500 mIoU=0.7825 Acc=0.9606 Kappa=0.9489 2020-12-16 01:27:42 [INFO] [EVAL] Class IoU: [0.9824 0.8525 0.9263 0.5733 0.6206 0.6039 0.704 0.7791 0.9228 0.6531 0.9454 0.8084 0.6246 0.9493 0.8284 0.906 0.7855 0.6385 0.7639] 2020-12-16 01:27:42 [INFO] [EVAL] Class Acc: [0.994 0.9092 0.9573 0.8227 0.8338 0.7741 0.8356 0.887 0.9571 0.7975 0.9667 0.8671 0.7554 0.9707 0.9373 0.9575 0.8957 0.8259 0.8484] 2020-12-16 01:27:49 [INFO] [EVAL] The model with the best validation mIoU (0.7868) was saved at iter 46000. 2020-12-16 01:28:01 [INFO] [TRAIN] epoch=132, iter=49010/80000, loss=0.1583, lr=0.004259, batch_cost=1.2211, reader_cost=0.0014 | ETA 10:30:42 2020-12-16 01:28:14 [INFO] [TRAIN] epoch=132, iter=49020/80000, loss=0.1377, lr=0.004258, batch_cost=1.3479, reader_cost=0.0025 | ETA 11:35:57 2020-12-16 01:28:28 [INFO] [TRAIN] epoch=132, iter=49030/80000, loss=0.1424, lr=0.004257, batch_cost=1.3279, reader_cost=0.0018 | ETA 11:25:26 2020-12-16 01:28:40 [INFO] [TRAIN] epoch=132, iter=49040/80000, loss=0.1889, lr=0.004256, batch_cost=1.2597, reader_cost=0.0005 | ETA 10:50:00 2020-12-16 01:28:53 [INFO] [TRAIN] epoch=132, iter=49050/80000, loss=0.1628, lr=0.004254, batch_cost=1.2872, reader_cost=0.0001 | ETA 11:03:58 2020-12-16 01:29:02 [INFO] [TRAIN] epoch=132, iter=49060/80000, loss=0.1194, lr=0.004253, batch_cost=0.8745, reader_cost=0.0001 | ETA 07:30:57 2020-12-16 01:29:11 [INFO] [TRAIN] epoch=132, iter=49070/80000, loss=0.1582, lr=0.004252, batch_cost=0.8861, reader_cost=0.0001 | ETA 07:36:46 2020-12-16 01:29:20 [INFO] [TRAIN] epoch=132, iter=49080/80000, loss=0.1548, lr=0.004251, batch_cost=0.9508, reader_cost=0.0001 | ETA 08:10:00 2020-12-16 01:29:32 [INFO] [TRAIN] epoch=132, iter=49090/80000, loss=0.1719, lr=0.004249, batch_cost=1.2227, reader_cost=0.0001 | ETA 10:29:52 2020-12-16 01:29:44 [INFO] [TRAIN] epoch=132, iter=49100/80000, loss=0.1909, lr=0.004248, batch_cost=1.1438, reader_cost=0.0011 | ETA 09:49:03 2020-12-16 01:29:56 [INFO] [TRAIN] epoch=133, iter=49110/80000, loss=0.1874, lr=0.004247, batch_cost=1.2535, reader_cost=0.0514 | ETA 10:45:21 2020-12-16 01:30:09 [INFO] [TRAIN] epoch=133, iter=49120/80000, loss=0.1559, lr=0.004246, batch_cost=1.2569, reader_cost=0.0017 | ETA 10:46:51 2020-12-16 01:30:20 [INFO] [TRAIN] epoch=133, iter=49130/80000, loss=0.1742, lr=0.004244, batch_cost=1.1576, reader_cost=0.0005 | ETA 09:55:35 2020-12-16 01:30:32 [INFO] [TRAIN] epoch=133, iter=49140/80000, loss=0.1324, lr=0.004243, batch_cost=1.1746, reader_cost=0.0043 | ETA 10:04:08 2020-12-16 01:30:44 [INFO] [TRAIN] epoch=133, iter=49150/80000, loss=0.1564, lr=0.004242, batch_cost=1.2166, reader_cost=0.0001 | ETA 10:25:33 2020-12-16 01:30:57 [INFO] [TRAIN] epoch=133, iter=49160/80000, loss=0.1674, lr=0.004241, batch_cost=1.2212, reader_cost=0.0001 | ETA 10:27:42 2020-12-16 01:31:08 [INFO] [TRAIN] epoch=133, iter=49170/80000, loss=0.1559, lr=0.004239, batch_cost=1.1791, reader_cost=0.0010 | ETA 10:05:52 2020-12-16 01:31:21 [INFO] [TRAIN] epoch=133, iter=49180/80000, loss=0.1581, lr=0.004238, batch_cost=1.2985, reader_cost=0.0001 | ETA 11:06:58 2020-12-16 01:31:34 [INFO] [TRAIN] epoch=133, iter=49190/80000, loss=0.1754, lr=0.004237, batch_cost=1.2420, reader_cost=0.0025 | ETA 10:37:44 2020-12-16 01:31:46 [INFO] [TRAIN] epoch=133, iter=49200/80000, loss=0.1223, lr=0.004236, batch_cost=1.2468, reader_cost=0.0002 | ETA 10:40:01 2020-12-16 01:31:58 [INFO] [TRAIN] epoch=133, iter=49210/80000, loss=0.1704, lr=0.004234, batch_cost=1.1529, reader_cost=0.0001 | ETA 09:51:37 2020-12-16 01:32:10 [INFO] [TRAIN] epoch=133, iter=49220/80000, loss=0.1567, lr=0.004233, batch_cost=1.2577, reader_cost=0.0001 | ETA 10:45:11 2020-12-16 01:32:22 [INFO] [TRAIN] epoch=133, iter=49230/80000, loss=0.1145, lr=0.004232, batch_cost=1.1994, reader_cost=0.0012 | ETA 10:15:06 2020-12-16 01:32:35 [INFO] [TRAIN] epoch=133, iter=49240/80000, loss=0.1773, lr=0.004231, batch_cost=1.2140, reader_cost=0.0001 | ETA 10:22:21 2020-12-16 01:32:46 [INFO] [TRAIN] epoch=133, iter=49250/80000, loss=0.2548, lr=0.004230, batch_cost=1.1923, reader_cost=0.0006 | ETA 10:11:01 2020-12-16 01:32:59 [INFO] [TRAIN] epoch=133, iter=49260/80000, loss=0.1951, lr=0.004228, batch_cost=1.2964, reader_cost=0.0001 | ETA 11:04:12 2020-12-16 01:33:12 [INFO] [TRAIN] epoch=133, iter=49270/80000, loss=0.1732, lr=0.004227, batch_cost=1.2762, reader_cost=0.0022 | ETA 10:53:37 2020-12-16 01:33:23 [INFO] [TRAIN] epoch=133, iter=49280/80000, loss=0.0988, lr=0.004226, batch_cost=1.0924, reader_cost=0.0003 | ETA 09:19:18 2020-12-16 01:33:32 [INFO] [TRAIN] epoch=133, iter=49290/80000, loss=0.1211, lr=0.004225, batch_cost=0.9124, reader_cost=0.0009 | ETA 07:46:59 2020-12-16 01:33:40 [INFO] [TRAIN] epoch=133, iter=49300/80000, loss=0.1570, lr=0.004223, batch_cost=0.8118, reader_cost=0.0001 | ETA 06:55:23 2020-12-16 01:33:49 [INFO] [TRAIN] epoch=133, iter=49310/80000, loss=0.1442, lr=0.004222, batch_cost=0.9144, reader_cost=0.0001 | ETA 07:47:41 2020-12-16 01:34:02 [INFO] [TRAIN] epoch=133, iter=49320/80000, loss=0.1219, lr=0.004221, batch_cost=1.2582, reader_cost=0.0001 | ETA 10:43:20 2020-12-16 01:34:15 [INFO] [TRAIN] epoch=133, iter=49330/80000, loss=0.2075, lr=0.004220, batch_cost=1.2525, reader_cost=0.0011 | ETA 10:40:15 2020-12-16 01:34:26 [INFO] [TRAIN] epoch=133, iter=49340/80000, loss=0.1482, lr=0.004218, batch_cost=1.0968, reader_cost=0.0014 | ETA 09:20:28 2020-12-16 01:34:37 [INFO] [TRAIN] epoch=133, iter=49350/80000, loss=0.1384, lr=0.004217, batch_cost=1.1783, reader_cost=0.0025 | ETA 10:01:56 2020-12-16 01:34:50 [INFO] [TRAIN] epoch=133, iter=49360/80000, loss=0.1682, lr=0.004216, batch_cost=1.2319, reader_cost=0.0001 | ETA 10:29:04 2020-12-16 01:35:02 [INFO] [TRAIN] epoch=133, iter=49370/80000, loss=0.1490, lr=0.004215, batch_cost=1.2331, reader_cost=0.0011 | ETA 10:29:30 2020-12-16 01:35:14 [INFO] [TRAIN] epoch=133, iter=49380/80000, loss=0.2118, lr=0.004213, batch_cost=1.1666, reader_cost=0.0001 | ETA 09:55:22 2020-12-16 01:35:25 [INFO] [TRAIN] epoch=133, iter=49390/80000, loss=0.1420, lr=0.004212, batch_cost=1.1842, reader_cost=0.0023 | ETA 10:04:08 2020-12-16 01:35:38 [INFO] [TRAIN] epoch=133, iter=49400/80000, loss=0.1572, lr=0.004211, batch_cost=1.2783, reader_cost=0.0021 | ETA 10:51:54 2020-12-16 01:35:50 [INFO] [TRAIN] epoch=133, iter=49410/80000, loss=0.1825, lr=0.004210, batch_cost=1.1739, reader_cost=0.0005 | ETA 09:58:30 2020-12-16 01:36:03 [INFO] [TRAIN] epoch=133, iter=49420/80000, loss=0.1736, lr=0.004208, batch_cost=1.2895, reader_cost=0.0005 | ETA 10:57:11 2020-12-16 01:36:15 [INFO] [TRAIN] epoch=133, iter=49430/80000, loss=0.1803, lr=0.004207, batch_cost=1.2016, reader_cost=0.0009 | ETA 10:12:11 2020-12-16 01:36:27 [INFO] [TRAIN] epoch=133, iter=49440/80000, loss=0.1790, lr=0.004206, batch_cost=1.2342, reader_cost=0.0004 | ETA 10:28:38 2020-12-16 01:36:40 [INFO] [TRAIN] epoch=133, iter=49450/80000, loss=0.1503, lr=0.004205, batch_cost=1.2507, reader_cost=0.0009 | ETA 10:36:48 2020-12-16 01:36:53 [INFO] [TRAIN] epoch=133, iter=49460/80000, loss=0.1798, lr=0.004204, batch_cost=1.2921, reader_cost=0.0010 | ETA 10:57:41 2020-12-16 01:37:07 [INFO] [TRAIN] epoch=133, iter=49470/80000, loss=0.1370, lr=0.004202, batch_cost=1.4323, reader_cost=0.0002 | ETA 12:08:47 2020-12-16 01:37:18 [INFO] [TRAIN] epoch=134, iter=49480/80000, loss=0.1550, lr=0.004201, batch_cost=1.1370, reader_cost=0.0560 | ETA 09:38:20 2020-12-16 01:37:31 [INFO] [TRAIN] epoch=134, iter=49490/80000, loss=0.1662, lr=0.004200, batch_cost=1.2192, reader_cost=0.0001 | ETA 10:19:57 2020-12-16 01:37:44 [INFO] [TRAIN] epoch=134, iter=49500/80000, loss=0.1186, lr=0.004199, batch_cost=1.2963, reader_cost=0.0004 | ETA 10:58:56 2020-12-16 01:37:55 [INFO] [TRAIN] epoch=134, iter=49510/80000, loss=0.1856, lr=0.004197, batch_cost=1.1482, reader_cost=0.0005 | ETA 09:43:28 2020-12-16 01:38:04 [INFO] [TRAIN] epoch=134, iter=49520/80000, loss=0.1342, lr=0.004196, batch_cost=0.9420, reader_cost=0.0001 | ETA 07:58:33 2020-12-16 01:38:13 [INFO] [TRAIN] epoch=134, iter=49530/80000, loss=0.1967, lr=0.004195, batch_cost=0.8496, reader_cost=0.0001 | ETA 07:11:27 2020-12-16 01:38:21 [INFO] [TRAIN] epoch=134, iter=49540/80000, loss=0.2008, lr=0.004194, batch_cost=0.8492, reader_cost=0.0001 | ETA 07:11:07 2020-12-16 01:38:32 [INFO] [TRAIN] epoch=134, iter=49550/80000, loss=0.1684, lr=0.004192, batch_cost=1.0571, reader_cost=0.0005 | ETA 08:56:28 2020-12-16 01:38:45 [INFO] [TRAIN] epoch=134, iter=49560/80000, loss=0.1588, lr=0.004191, batch_cost=1.2513, reader_cost=0.0009 | ETA 10:34:50 2020-12-16 01:38:56 [INFO] [TRAIN] epoch=134, iter=49570/80000, loss=0.1990, lr=0.004190, batch_cost=1.1581, reader_cost=0.0013 | ETA 09:47:20 2020-12-16 01:39:08 [INFO] [TRAIN] epoch=134, iter=49580/80000, loss=0.1740, lr=0.004189, batch_cost=1.1790, reader_cost=0.0038 | ETA 09:57:44 2020-12-16 01:39:20 [INFO] [TRAIN] epoch=134, iter=49590/80000, loss=0.1291, lr=0.004187, batch_cost=1.1941, reader_cost=0.0025 | ETA 10:05:14 2020-12-16 01:39:33 [INFO] [TRAIN] epoch=134, iter=49600/80000, loss=0.1706, lr=0.004186, batch_cost=1.2942, reader_cost=0.0001 | ETA 10:55:44 2020-12-16 01:39:45 [INFO] [TRAIN] epoch=134, iter=49610/80000, loss=0.1330, lr=0.004185, batch_cost=1.2185, reader_cost=0.0001 | ETA 10:17:10 2020-12-16 01:39:59 [INFO] [TRAIN] epoch=134, iter=49620/80000, loss=0.1601, lr=0.004184, batch_cost=1.3607, reader_cost=0.0015 | ETA 11:28:56 2020-12-16 01:40:11 [INFO] [TRAIN] epoch=134, iter=49630/80000, loss=0.1543, lr=0.004182, batch_cost=1.2424, reader_cost=0.0012 | ETA 10:28:52 2020-12-16 01:40:25 [INFO] [TRAIN] epoch=134, iter=49640/80000, loss=0.1466, lr=0.004181, batch_cost=1.3872, reader_cost=0.0001 | ETA 11:41:56 2020-12-16 01:40:36 [INFO] [TRAIN] epoch=134, iter=49650/80000, loss=0.1533, lr=0.004180, batch_cost=1.1300, reader_cost=0.0017 | ETA 09:31:34 2020-12-16 01:40:48 [INFO] [TRAIN] epoch=134, iter=49660/80000, loss=0.2938, lr=0.004179, batch_cost=1.2019, reader_cost=0.0027 | ETA 10:07:44 2020-12-16 01:41:00 [INFO] [TRAIN] epoch=134, iter=49670/80000, loss=0.1135, lr=0.004178, batch_cost=1.1872, reader_cost=0.0007 | ETA 10:00:07 2020-12-16 01:41:13 [INFO] [TRAIN] epoch=134, iter=49680/80000, loss=0.1420, lr=0.004176, batch_cost=1.2888, reader_cost=0.0081 | ETA 10:51:15 2020-12-16 01:41:25 [INFO] [TRAIN] epoch=134, iter=49690/80000, loss=0.1851, lr=0.004175, batch_cost=1.2224, reader_cost=0.0003 | ETA 10:17:30 2020-12-16 01:41:37 [INFO] [TRAIN] epoch=134, iter=49700/80000, loss=0.1335, lr=0.004174, batch_cost=1.1861, reader_cost=0.0012 | ETA 09:58:58 2020-12-16 01:41:50 [INFO] [TRAIN] epoch=134, iter=49710/80000, loss=0.1239, lr=0.004173, batch_cost=1.2459, reader_cost=0.0007 | ETA 10:28:58 2020-12-16 01:42:01 [INFO] [TRAIN] epoch=134, iter=49720/80000, loss=0.1596, lr=0.004171, batch_cost=1.1743, reader_cost=0.0001 | ETA 09:52:38 2020-12-16 01:42:14 [INFO] [TRAIN] epoch=134, iter=49730/80000, loss=0.1392, lr=0.004170, batch_cost=1.2389, reader_cost=0.0005 | ETA 10:25:01 2020-12-16 01:42:27 [INFO] [TRAIN] epoch=134, iter=49740/80000, loss=0.1392, lr=0.004169, batch_cost=1.2936, reader_cost=0.0001 | ETA 10:52:23 2020-12-16 01:42:38 [INFO] [TRAIN] epoch=134, iter=49750/80000, loss=0.1508, lr=0.004168, batch_cost=1.1220, reader_cost=0.0020 | ETA 09:25:40 2020-12-16 01:42:46 [INFO] [TRAIN] epoch=134, iter=49760/80000, loss=0.1575, lr=0.004166, batch_cost=0.8130, reader_cost=0.0001 | ETA 06:49:43 2020-12-16 01:42:55 [INFO] [TRAIN] epoch=134, iter=49770/80000, loss=0.1398, lr=0.004165, batch_cost=0.8746, reader_cost=0.0008 | ETA 07:20:38 2020-12-16 01:43:06 [INFO] [TRAIN] epoch=134, iter=49780/80000, loss=0.1295, lr=0.004164, batch_cost=1.0952, reader_cost=0.0001 | ETA 09:11:37 2020-12-16 01:43:18 [INFO] [TRAIN] epoch=134, iter=49790/80000, loss=0.1404, lr=0.004163, batch_cost=1.2699, reader_cost=0.0024 | ETA 10:39:23 2020-12-16 01:43:31 [INFO] [TRAIN] epoch=134, iter=49800/80000, loss=0.1768, lr=0.004161, batch_cost=1.2678, reader_cost=0.0020 | ETA 10:38:08 2020-12-16 01:43:43 [INFO] [TRAIN] epoch=134, iter=49810/80000, loss=0.1558, lr=0.004160, batch_cost=1.2337, reader_cost=0.0001 | ETA 10:20:44 2020-12-16 01:43:55 [INFO] [TRAIN] epoch=134, iter=49820/80000, loss=0.1428, lr=0.004159, batch_cost=1.1944, reader_cost=0.0023 | ETA 10:00:46 2020-12-16 01:44:07 [INFO] [TRAIN] epoch=134, iter=49830/80000, loss=0.1483, lr=0.004158, batch_cost=1.1481, reader_cost=0.0021 | ETA 09:37:18 2020-12-16 01:44:18 [INFO] [TRAIN] epoch=134, iter=49840/80000, loss=0.1268, lr=0.004156, batch_cost=1.1565, reader_cost=0.0001 | ETA 09:41:18 2020-12-16 01:44:29 [INFO] [TRAIN] epoch=135, iter=49850/80000, loss=0.1109, lr=0.004155, batch_cost=1.0992, reader_cost=0.0596 | ETA 09:12:21 2020-12-16 01:44:42 [INFO] [TRAIN] epoch=135, iter=49860/80000, loss=0.1431, lr=0.004154, batch_cost=1.2734, reader_cost=0.0010 | ETA 10:39:40 2020-12-16 01:44:52 [INFO] [TRAIN] epoch=135, iter=49870/80000, loss=0.2123, lr=0.004153, batch_cost=0.9920, reader_cost=0.0001 | ETA 08:18:07 2020-12-16 01:45:00 [INFO] [TRAIN] epoch=135, iter=49880/80000, loss=0.1653, lr=0.004151, batch_cost=0.8385, reader_cost=0.0001 | ETA 07:00:56 2020-12-16 01:45:09 [INFO] [TRAIN] epoch=135, iter=49890/80000, loss=0.1634, lr=0.004150, batch_cost=0.8325, reader_cost=0.0001 | ETA 06:57:45 2020-12-16 01:45:17 [INFO] [TRAIN] epoch=135, iter=49900/80000, loss=0.2254, lr=0.004149, batch_cost=0.8170, reader_cost=0.0001 | ETA 06:49:51 2020-12-16 01:45:25 [INFO] [TRAIN] epoch=135, iter=49910/80000, loss=0.1759, lr=0.004148, batch_cost=0.8599, reader_cost=0.0001 | ETA 07:11:14 2020-12-16 01:45:37 [INFO] [TRAIN] epoch=135, iter=49920/80000, loss=0.1223, lr=0.004147, batch_cost=1.1484, reader_cost=0.0001 | ETA 09:35:44 2020-12-16 01:45:49 [INFO] [TRAIN] epoch=135, iter=49930/80000, loss=0.1769, lr=0.004145, batch_cost=1.1937, reader_cost=0.0001 | ETA 09:58:13 2020-12-16 01:46:01 [INFO] [TRAIN] epoch=135, iter=49940/80000, loss=0.1303, lr=0.004144, batch_cost=1.2274, reader_cost=0.0005 | ETA 10:14:54 2020-12-16 01:46:13 [INFO] [TRAIN] epoch=135, iter=49950/80000, loss=0.1527, lr=0.004143, batch_cost=1.1819, reader_cost=0.0002 | ETA 09:51:55 2020-12-16 01:46:26 [INFO] [TRAIN] epoch=135, iter=49960/80000, loss=0.1385, lr=0.004142, batch_cost=1.3169, reader_cost=0.0022 | ETA 10:59:20 2020-12-16 01:46:37 [INFO] [TRAIN] epoch=135, iter=49970/80000, loss=0.1530, lr=0.004140, batch_cost=1.1139, reader_cost=0.0027 | ETA 09:17:30 2020-12-16 01:46:49 [INFO] [TRAIN] epoch=135, iter=49980/80000, loss=0.1606, lr=0.004139, batch_cost=1.2163, reader_cost=0.0005 | ETA 10:08:34 2020-12-16 01:47:02 [INFO] [TRAIN] epoch=135, iter=49990/80000, loss=0.1180, lr=0.004138, batch_cost=1.2740, reader_cost=0.0006 | ETA 10:37:12 2020-12-16 01:47:16 [INFO] [TRAIN] epoch=135, iter=50000/80000, loss=0.0827, lr=0.004137, batch_cost=1.3426, reader_cost=0.0011 | ETA 11:11:17 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 01:47:16 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 01:48:07 [INFO] [EVAL] #Images=500 mIoU=0.7821 Acc=0.9608 Kappa=0.9492 2020-12-16 01:48:07 [INFO] [EVAL] Class IoU: [0.9824 0.8558 0.9248 0.5875 0.604 0.6053 0.7053 0.781 0.9235 0.6523 0.9419 0.814 0.629 0.9498 0.8422 0.9057 0.7882 0.6061 0.7615] 2020-12-16 01:48:07 [INFO] [EVAL] Class Acc: [0.9925 0.9214 0.9547 0.8636 0.8286 0.7822 0.8505 0.9109 0.9498 0.8789 0.9757 0.8973 0.7247 0.9702 0.9169 0.9662 0.9254 0.8645 0.8325] 2020-12-16 01:48:13 [INFO] [EVAL] The model with the best validation mIoU (0.7868) was saved at iter 46000. 2020-12-16 01:48:26 [INFO] [TRAIN] epoch=135, iter=50010/80000, loss=0.1374, lr=0.004135, batch_cost=1.2626, reader_cost=0.0001 | ETA 10:31:06 2020-12-16 01:48:37 [INFO] [TRAIN] epoch=135, iter=50020/80000, loss=0.1685, lr=0.004134, batch_cost=1.1383, reader_cost=0.0014 | ETA 09:28:47 2020-12-16 01:48:49 [INFO] [TRAIN] epoch=135, iter=50030/80000, loss=0.1139, lr=0.004133, batch_cost=1.2237, reader_cost=0.0004 | ETA 10:11:14 2020-12-16 01:49:02 [INFO] [TRAIN] epoch=135, iter=50040/80000, loss=0.1529, lr=0.004132, batch_cost=1.3089, reader_cost=0.0008 | ETA 10:53:33 2020-12-16 01:49:15 [INFO] [TRAIN] epoch=135, iter=50050/80000, loss=0.1521, lr=0.004130, batch_cost=1.2684, reader_cost=0.0014 | ETA 10:33:09 2020-12-16 01:49:26 [INFO] [TRAIN] epoch=135, iter=50060/80000, loss=0.1825, lr=0.004129, batch_cost=1.1052, reader_cost=0.0001 | ETA 09:11:30 2020-12-16 01:49:38 [INFO] [TRAIN] epoch=135, iter=50070/80000, loss=0.1426, lr=0.004128, batch_cost=1.2418, reader_cost=0.0067 | ETA 10:19:28 2020-12-16 01:49:51 [INFO] [TRAIN] epoch=135, iter=50080/80000, loss=0.1760, lr=0.004127, batch_cost=1.2294, reader_cost=0.0028 | ETA 10:13:03 2020-12-16 01:50:04 [INFO] [TRAIN] epoch=135, iter=50090/80000, loss=0.1653, lr=0.004125, batch_cost=1.2894, reader_cost=0.0001 | ETA 10:42:44 2020-12-16 01:50:15 [INFO] [TRAIN] epoch=135, iter=50100/80000, loss=0.1429, lr=0.004124, batch_cost=1.1470, reader_cost=0.0001 | ETA 09:31:36 2020-12-16 01:50:27 [INFO] [TRAIN] epoch=135, iter=50110/80000, loss=0.1927, lr=0.004123, batch_cost=1.2237, reader_cost=0.0002 | ETA 10:09:36 2020-12-16 01:50:40 [INFO] [TRAIN] epoch=135, iter=50120/80000, loss=0.1768, lr=0.004122, batch_cost=1.2298, reader_cost=0.0012 | ETA 10:12:27 2020-12-16 01:50:52 [INFO] [TRAIN] epoch=135, iter=50130/80000, loss=0.1357, lr=0.004120, batch_cost=1.2474, reader_cost=0.0001 | ETA 10:20:58 2020-12-16 01:51:04 [INFO] [TRAIN] epoch=135, iter=50140/80000, loss=0.1778, lr=0.004119, batch_cost=1.1719, reader_cost=0.0001 | ETA 09:43:14 2020-12-16 01:51:16 [INFO] [TRAIN] epoch=135, iter=50150/80000, loss=0.1679, lr=0.004118, batch_cost=1.2573, reader_cost=0.0009 | ETA 10:25:30 2020-12-16 01:51:29 [INFO] [TRAIN] epoch=135, iter=50160/80000, loss=0.1521, lr=0.004117, batch_cost=1.2461, reader_cost=0.0017 | ETA 10:19:43 2020-12-16 01:51:42 [INFO] [TRAIN] epoch=135, iter=50170/80000, loss=0.1279, lr=0.004115, batch_cost=1.2655, reader_cost=0.0002 | ETA 10:29:10 2020-12-16 01:51:54 [INFO] [TRAIN] epoch=135, iter=50180/80000, loss=0.1487, lr=0.004114, batch_cost=1.2843, reader_cost=0.0005 | ETA 10:38:19 2020-12-16 01:52:08 [INFO] [TRAIN] epoch=135, iter=50190/80000, loss=0.1843, lr=0.004113, batch_cost=1.3417, reader_cost=0.0024 | ETA 11:06:36 2020-12-16 01:52:18 [INFO] [TRAIN] epoch=135, iter=50200/80000, loss=0.1574, lr=0.004112, batch_cost=1.0076, reader_cost=0.0001 | ETA 08:20:26 2020-12-16 01:52:26 [INFO] [TRAIN] epoch=135, iter=50210/80000, loss=0.2154, lr=0.004111, batch_cost=0.8112, reader_cost=0.0001 | ETA 06:42:46 2020-12-16 01:52:34 [INFO] [TRAIN] epoch=135, iter=50220/80000, loss=0.1182, lr=0.004109, batch_cost=0.8483, reader_cost=0.0001 | ETA 07:01:03 2020-12-16 01:52:47 [INFO] [TRAIN] epoch=136, iter=50230/80000, loss=0.1240, lr=0.004108, batch_cost=1.2450, reader_cost=0.0619 | ETA 10:17:43 2020-12-16 01:52:59 [INFO] [TRAIN] epoch=136, iter=50240/80000, loss=0.1300, lr=0.004107, batch_cost=1.2433, reader_cost=0.0040 | ETA 10:16:40 2020-12-16 01:53:12 [INFO] [TRAIN] epoch=136, iter=50250/80000, loss=0.1568, lr=0.004106, batch_cost=1.2180, reader_cost=0.0001 | ETA 10:03:55 2020-12-16 01:53:24 [INFO] [TRAIN] epoch=136, iter=50260/80000, loss=0.1319, lr=0.004104, batch_cost=1.2158, reader_cost=0.0020 | ETA 10:02:39 2020-12-16 01:53:35 [INFO] [TRAIN] epoch=136, iter=50270/80000, loss=0.1341, lr=0.004103, batch_cost=1.1120, reader_cost=0.0001 | ETA 09:10:59 2020-12-16 01:53:47 [INFO] [TRAIN] epoch=136, iter=50280/80000, loss=0.1535, lr=0.004102, batch_cost=1.1679, reader_cost=0.0026 | ETA 09:38:29 2020-12-16 01:53:59 [INFO] [TRAIN] epoch=136, iter=50290/80000, loss=0.1904, lr=0.004101, batch_cost=1.2761, reader_cost=0.0014 | ETA 10:31:53 2020-12-16 01:54:11 [INFO] [TRAIN] epoch=136, iter=50300/80000, loss=0.1784, lr=0.004099, batch_cost=1.1764, reader_cost=0.0001 | ETA 09:42:18 2020-12-16 01:54:23 [INFO] [TRAIN] epoch=136, iter=50310/80000, loss=0.1578, lr=0.004098, batch_cost=1.1772, reader_cost=0.0001 | ETA 09:42:30 2020-12-16 01:54:34 [INFO] [TRAIN] epoch=136, iter=50320/80000, loss=0.1641, lr=0.004097, batch_cost=1.1176, reader_cost=0.0006 | ETA 09:12:50 2020-12-16 01:54:46 [INFO] [TRAIN] epoch=136, iter=50330/80000, loss=0.1453, lr=0.004096, batch_cost=1.1547, reader_cost=0.0001 | ETA 09:31:00 2020-12-16 01:54:58 [INFO] [TRAIN] epoch=136, iter=50340/80000, loss=0.1391, lr=0.004094, batch_cost=1.2891, reader_cost=0.0010 | ETA 10:37:15 2020-12-16 01:55:12 [INFO] [TRAIN] epoch=136, iter=50350/80000, loss=0.1378, lr=0.004093, batch_cost=1.3610, reader_cost=0.0015 | ETA 11:12:34 2020-12-16 01:55:26 [INFO] [TRAIN] epoch=136, iter=50360/80000, loss=0.1767, lr=0.004092, batch_cost=1.3629, reader_cost=0.0001 | ETA 11:13:15 2020-12-16 01:55:39 [INFO] [TRAIN] epoch=136, iter=50370/80000, loss=0.1627, lr=0.004091, batch_cost=1.3690, reader_cost=0.0020 | ETA 11:16:02 2020-12-16 01:55:51 [INFO] [TRAIN] epoch=136, iter=50380/80000, loss=0.1764, lr=0.004089, batch_cost=1.2035, reader_cost=0.0009 | ETA 09:54:06 2020-12-16 01:56:03 [INFO] [TRAIN] epoch=136, iter=50390/80000, loss=0.1576, lr=0.004088, batch_cost=1.1397, reader_cost=0.0001 | ETA 09:22:25 2020-12-16 01:56:14 [INFO] [TRAIN] epoch=136, iter=50400/80000, loss=0.1834, lr=0.004087, batch_cost=1.1233, reader_cost=0.0023 | ETA 09:14:10 2020-12-16 01:56:26 [INFO] [TRAIN] epoch=136, iter=50410/80000, loss=0.1415, lr=0.004086, batch_cost=1.1954, reader_cost=0.0031 | ETA 09:49:32 2020-12-16 01:56:38 [INFO] [TRAIN] epoch=136, iter=50420/80000, loss=0.1395, lr=0.004084, batch_cost=1.1813, reader_cost=0.0024 | ETA 09:42:22 2020-12-16 01:56:50 [INFO] [TRAIN] epoch=136, iter=50430/80000, loss=0.1627, lr=0.004083, batch_cost=1.2549, reader_cost=0.0022 | ETA 10:18:28 2020-12-16 01:56:59 [INFO] [TRAIN] epoch=136, iter=50440/80000, loss=0.1458, lr=0.004082, batch_cost=0.8341, reader_cost=0.0001 | ETA 06:50:57 2020-12-16 01:57:07 [INFO] [TRAIN] epoch=136, iter=50450/80000, loss=0.1520, lr=0.004081, batch_cost=0.8304, reader_cost=0.0001 | ETA 06:48:57 2020-12-16 01:57:16 [INFO] [TRAIN] epoch=136, iter=50460/80000, loss=0.1388, lr=0.004079, batch_cost=0.9438, reader_cost=0.0002 | ETA 07:44:39 2020-12-16 01:57:29 [INFO] [TRAIN] epoch=136, iter=50470/80000, loss=0.1577, lr=0.004078, batch_cost=1.2742, reader_cost=0.0002 | ETA 10:27:06 2020-12-16 01:57:41 [INFO] [TRAIN] epoch=136, iter=50480/80000, loss=0.1416, lr=0.004077, batch_cost=1.1514, reader_cost=0.0009 | ETA 09:26:30 2020-12-16 01:57:52 [INFO] [TRAIN] epoch=136, iter=50490/80000, loss=0.1856, lr=0.004076, batch_cost=1.1609, reader_cost=0.0005 | ETA 09:30:57 2020-12-16 01:58:04 [INFO] [TRAIN] epoch=136, iter=50500/80000, loss=0.1210, lr=0.004074, batch_cost=1.1226, reader_cost=0.0037 | ETA 09:11:56 2020-12-16 01:58:15 [INFO] [TRAIN] epoch=136, iter=50510/80000, loss=0.1502, lr=0.004073, batch_cost=1.1338, reader_cost=0.0007 | ETA 09:17:14 2020-12-16 01:58:27 [INFO] [TRAIN] epoch=136, iter=50520/80000, loss=0.1661, lr=0.004072, batch_cost=1.1961, reader_cost=0.0002 | ETA 09:47:42 2020-12-16 01:58:39 [INFO] [TRAIN] epoch=136, iter=50530/80000, loss=0.1734, lr=0.004071, batch_cost=1.1760, reader_cost=0.0001 | ETA 09:37:35 2020-12-16 01:58:50 [INFO] [TRAIN] epoch=136, iter=50540/80000, loss=0.1259, lr=0.004070, batch_cost=1.1094, reader_cost=0.0001 | ETA 09:04:43 2020-12-16 01:59:02 [INFO] [TRAIN] epoch=136, iter=50550/80000, loss=0.1819, lr=0.004068, batch_cost=1.1998, reader_cost=0.0030 | ETA 09:48:53 2020-12-16 01:59:14 [INFO] [TRAIN] epoch=136, iter=50560/80000, loss=0.1407, lr=0.004067, batch_cost=1.2360, reader_cost=0.0038 | ETA 10:06:29 2020-12-16 01:59:27 [INFO] [TRAIN] epoch=136, iter=50570/80000, loss=0.1912, lr=0.004066, batch_cost=1.2782, reader_cost=0.0005 | ETA 10:26:56 2020-12-16 01:59:39 [INFO] [TRAIN] epoch=136, iter=50580/80000, loss=0.1147, lr=0.004065, batch_cost=1.2097, reader_cost=0.0030 | ETA 09:53:09 2020-12-16 01:59:49 [INFO] [TRAIN] epoch=136, iter=50590/80000, loss=0.1266, lr=0.004063, batch_cost=1.0008, reader_cost=0.0019 | ETA 08:10:33 2020-12-16 02:00:01 [INFO] [TRAIN] epoch=137, iter=50600/80000, loss=0.1123, lr=0.004062, batch_cost=1.2316, reader_cost=0.0580 | ETA 10:03:28 2020-12-16 02:00:14 [INFO] [TRAIN] epoch=137, iter=50610/80000, loss=0.1463, lr=0.004061, batch_cost=1.2361, reader_cost=0.0007 | ETA 10:05:29 2020-12-16 02:00:26 [INFO] [TRAIN] epoch=137, iter=50620/80000, loss=0.1602, lr=0.004060, batch_cost=1.2611, reader_cost=0.0014 | ETA 10:17:32 2020-12-16 02:00:38 [INFO] [TRAIN] epoch=137, iter=50630/80000, loss=0.3170, lr=0.004058, batch_cost=1.1910, reader_cost=0.0009 | ETA 09:42:58 2020-12-16 02:00:51 [INFO] [TRAIN] epoch=137, iter=50640/80000, loss=0.2088, lr=0.004057, batch_cost=1.2874, reader_cost=0.0028 | ETA 10:29:59 2020-12-16 02:01:04 [INFO] [TRAIN] epoch=137, iter=50650/80000, loss=0.1627, lr=0.004056, batch_cost=1.3209, reader_cost=0.0012 | ETA 10:46:08 2020-12-16 02:01:16 [INFO] [TRAIN] epoch=137, iter=50660/80000, loss=0.1899, lr=0.004055, batch_cost=1.1648, reader_cost=0.0005 | ETA 09:29:35 2020-12-16 02:01:27 [INFO] [TRAIN] epoch=137, iter=50670/80000, loss=0.1419, lr=0.004053, batch_cost=1.0714, reader_cost=0.0005 | ETA 08:43:44 2020-12-16 02:01:35 [INFO] [TRAIN] epoch=137, iter=50680/80000, loss=0.2321, lr=0.004052, batch_cost=0.7969, reader_cost=0.0001 | ETA 06:29:25 2020-12-16 02:01:43 [INFO] [TRAIN] epoch=137, iter=50690/80000, loss=0.1298, lr=0.004051, batch_cost=0.8936, reader_cost=0.0001 | ETA 07:16:31 2020-12-16 02:01:53 [INFO] [TRAIN] epoch=137, iter=50700/80000, loss=0.1377, lr=0.004050, batch_cost=0.9956, reader_cost=0.0001 | ETA 08:06:09 2020-12-16 02:02:05 [INFO] [TRAIN] epoch=137, iter=50710/80000, loss=0.1326, lr=0.004048, batch_cost=1.1852, reader_cost=0.0030 | ETA 09:38:35 2020-12-16 02:02:16 [INFO] [TRAIN] epoch=137, iter=50720/80000, loss=0.1337, lr=0.004047, batch_cost=1.0989, reader_cost=0.0001 | ETA 08:56:15 2020-12-16 02:02:27 [INFO] [TRAIN] epoch=137, iter=50730/80000, loss=0.1788, lr=0.004046, batch_cost=1.0551, reader_cost=0.0001 | ETA 08:34:41 2020-12-16 02:02:39 [INFO] [TRAIN] epoch=137, iter=50740/80000, loss=0.2248, lr=0.004045, batch_cost=1.1703, reader_cost=0.0005 | ETA 09:30:43 2020-12-16 02:02:52 [INFO] [TRAIN] epoch=137, iter=50750/80000, loss=0.1439, lr=0.004043, batch_cost=1.3099, reader_cost=0.0001 | ETA 10:38:34 2020-12-16 02:03:04 [INFO] [TRAIN] epoch=137, iter=50760/80000, loss=0.1653, lr=0.004042, batch_cost=1.2540, reader_cost=0.0022 | ETA 10:11:06 2020-12-16 02:03:17 [INFO] [TRAIN] epoch=137, iter=50770/80000, loss=0.1313, lr=0.004041, batch_cost=1.3113, reader_cost=0.0024 | ETA 10:38:50 2020-12-16 02:03:31 [INFO] [TRAIN] epoch=137, iter=50780/80000, loss=0.1573, lr=0.004040, batch_cost=1.3271, reader_cost=0.0034 | ETA 10:46:18 2020-12-16 02:03:42 [INFO] [TRAIN] epoch=137, iter=50790/80000, loss=0.1461, lr=0.004038, batch_cost=1.1779, reader_cost=0.0005 | ETA 09:33:25 2020-12-16 02:03:54 [INFO] [TRAIN] epoch=137, iter=50800/80000, loss=0.1894, lr=0.004037, batch_cost=1.1833, reader_cost=0.0030 | ETA 09:35:53 2020-12-16 02:04:06 [INFO] [TRAIN] epoch=137, iter=50810/80000, loss=0.1639, lr=0.004036, batch_cost=1.2184, reader_cost=0.0017 | ETA 09:52:45 2020-12-16 02:04:19 [INFO] [TRAIN] epoch=137, iter=50820/80000, loss=0.1376, lr=0.004035, batch_cost=1.2435, reader_cost=0.0006 | ETA 10:04:44 2020-12-16 02:04:31 [INFO] [TRAIN] epoch=137, iter=50830/80000, loss=0.1614, lr=0.004033, batch_cost=1.1744, reader_cost=0.0001 | ETA 09:30:56 2020-12-16 02:04:42 [INFO] [TRAIN] epoch=137, iter=50840/80000, loss=0.2544, lr=0.004032, batch_cost=1.1787, reader_cost=0.0007 | ETA 09:32:51 2020-12-16 02:04:55 [INFO] [TRAIN] epoch=137, iter=50850/80000, loss=0.2627, lr=0.004031, batch_cost=1.2332, reader_cost=0.0001 | ETA 09:59:08 2020-12-16 02:05:07 [INFO] [TRAIN] epoch=137, iter=50860/80000, loss=0.1034, lr=0.004030, batch_cost=1.2619, reader_cost=0.0001 | ETA 10:12:53 2020-12-16 02:05:20 [INFO] [TRAIN] epoch=137, iter=50870/80000, loss=0.1211, lr=0.004028, batch_cost=1.2406, reader_cost=0.0005 | ETA 10:02:19 2020-12-16 02:05:31 [INFO] [TRAIN] epoch=137, iter=50880/80000, loss=0.1455, lr=0.004027, batch_cost=1.1424, reader_cost=0.0017 | ETA 09:14:27 2020-12-16 02:05:42 [INFO] [TRAIN] epoch=137, iter=50890/80000, loss=0.1305, lr=0.004026, batch_cost=1.1051, reader_cost=0.0029 | ETA 08:56:10 2020-12-16 02:05:54 [INFO] [TRAIN] epoch=137, iter=50900/80000, loss=0.1749, lr=0.004025, batch_cost=1.1805, reader_cost=0.0001 | ETA 09:32:32 2020-12-16 02:06:05 [INFO] [TRAIN] epoch=137, iter=50910/80000, loss=0.1476, lr=0.004023, batch_cost=1.0673, reader_cost=0.0001 | ETA 08:37:28 2020-12-16 02:06:13 [INFO] [TRAIN] epoch=137, iter=50920/80000, loss=0.1600, lr=0.004022, batch_cost=0.8168, reader_cost=0.0001 | ETA 06:35:52 2020-12-16 02:06:22 [INFO] [TRAIN] epoch=137, iter=50930/80000, loss=0.1421, lr=0.004021, batch_cost=0.9253, reader_cost=0.0001 | ETA 07:28:17 2020-12-16 02:06:34 [INFO] [TRAIN] epoch=137, iter=50940/80000, loss=0.1114, lr=0.004020, batch_cost=1.1981, reader_cost=0.0089 | ETA 09:40:15 2020-12-16 02:06:45 [INFO] [TRAIN] epoch=137, iter=50950/80000, loss=0.1276, lr=0.004019, batch_cost=1.1318, reader_cost=0.0018 | ETA 09:07:59 2020-12-16 02:06:57 [INFO] [TRAIN] epoch=137, iter=50960/80000, loss=0.1395, lr=0.004017, batch_cost=1.1192, reader_cost=0.0001 | ETA 09:01:40 2020-12-16 02:07:08 [INFO] [TRAIN] epoch=138, iter=50970/80000, loss=0.1268, lr=0.004016, batch_cost=1.1475, reader_cost=0.0782 | ETA 09:15:11 2020-12-16 02:07:21 [INFO] [TRAIN] epoch=138, iter=50980/80000, loss=0.1475, lr=0.004015, batch_cost=1.2524, reader_cost=0.0014 | ETA 10:05:44 2020-12-16 02:07:34 [INFO] [TRAIN] epoch=138, iter=50990/80000, loss=0.1459, lr=0.004014, batch_cost=1.3471, reader_cost=0.0001 | ETA 10:51:18 2020-12-16 02:07:47 [INFO] [TRAIN] epoch=138, iter=51000/80000, loss=0.1021, lr=0.004012, batch_cost=1.2836, reader_cost=0.0025 | ETA 10:20:23 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 02:07:47 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 02:08:38 [INFO] [EVAL] #Images=500 mIoU=0.7880 Acc=0.9613 Kappa=0.9498 2020-12-16 02:08:38 [INFO] [EVAL] Class IoU: [0.9822 0.8539 0.9271 0.5462 0.631 0.6011 0.7064 0.7852 0.9233 0.6733 0.9462 0.8169 0.6461 0.9502 0.8178 0.9155 0.8209 0.654 0.7751] 2020-12-16 02:08:38 [INFO] [EVAL] Class Acc: [0.9919 0.9207 0.9583 0.8631 0.8023 0.8047 0.8301 0.9149 0.9491 0.8703 0.9703 0.8842 0.8131 0.9677 0.9488 0.9694 0.9233 0.8269 0.8555] 2020-12-16 02:08:48 [INFO] [EVAL] The model with the best validation mIoU (0.7880) was saved at iter 51000. 2020-12-16 02:08:59 [INFO] [TRAIN] epoch=138, iter=51010/80000, loss=0.1061, lr=0.004011, batch_cost=1.1548, reader_cost=0.0013 | ETA 09:17:58 2020-12-16 02:09:13 [INFO] [TRAIN] epoch=138, iter=51020/80000, loss=0.1151, lr=0.004010, batch_cost=1.3317, reader_cost=0.0001 | ETA 10:43:12 2020-12-16 02:09:26 [INFO] [TRAIN] epoch=138, iter=51030/80000, loss=0.1547, lr=0.004009, batch_cost=1.3260, reader_cost=0.0006 | ETA 10:40:13 2020-12-16 02:09:39 [INFO] [TRAIN] epoch=138, iter=51040/80000, loss=0.1632, lr=0.004007, batch_cost=1.2662, reader_cost=0.0006 | ETA 10:11:09 2020-12-16 02:09:51 [INFO] [TRAIN] epoch=138, iter=51050/80000, loss=0.1742, lr=0.004006, batch_cost=1.2794, reader_cost=0.0005 | ETA 10:17:17 2020-12-16 02:10:00 [INFO] [TRAIN] epoch=138, iter=51060/80000, loss=0.1397, lr=0.004005, batch_cost=0.8400, reader_cost=0.0013 | ETA 06:45:09 2020-12-16 02:10:08 [INFO] [TRAIN] epoch=138, iter=51070/80000, loss=0.1368, lr=0.004004, batch_cost=0.8118, reader_cost=0.0001 | ETA 06:31:26 2020-12-16 02:10:16 [INFO] [TRAIN] epoch=138, iter=51080/80000, loss=0.1516, lr=0.004002, batch_cost=0.8168, reader_cost=0.0001 | ETA 06:33:41 2020-12-16 02:10:24 [INFO] [TRAIN] epoch=138, iter=51090/80000, loss=0.1840, lr=0.004001, batch_cost=0.8165, reader_cost=0.0001 | ETA 06:33:24 2020-12-16 02:10:34 [INFO] [TRAIN] epoch=138, iter=51100/80000, loss=0.1437, lr=0.004000, batch_cost=0.9802, reader_cost=0.0001 | ETA 07:52:06 2020-12-16 02:10:47 [INFO] [TRAIN] epoch=138, iter=51110/80000, loss=0.1397, lr=0.003999, batch_cost=1.2524, reader_cost=0.0002 | ETA 10:03:00 2020-12-16 02:10:59 [INFO] [TRAIN] epoch=138, iter=51120/80000, loss=0.1863, lr=0.003997, batch_cost=1.2407, reader_cost=0.0018 | ETA 09:57:11 2020-12-16 02:11:10 [INFO] [TRAIN] epoch=138, iter=51130/80000, loss=0.2032, lr=0.003996, batch_cost=1.0809, reader_cost=0.0005 | ETA 08:40:06 2020-12-16 02:11:18 [INFO] [TRAIN] epoch=138, iter=51140/80000, loss=0.1502, lr=0.003995, batch_cost=0.7955, reader_cost=0.0001 | ETA 06:22:37 2020-12-16 02:11:26 [INFO] [TRAIN] epoch=138, iter=51150/80000, loss=0.1360, lr=0.003994, batch_cost=0.8802, reader_cost=0.0005 | ETA 07:03:14 2020-12-16 02:11:37 [INFO] [TRAIN] epoch=138, iter=51160/80000, loss=0.1219, lr=0.003992, batch_cost=1.0246, reader_cost=0.0020 | ETA 08:12:29 2020-12-16 02:11:49 [INFO] [TRAIN] epoch=138, iter=51170/80000, loss=0.1840, lr=0.003991, batch_cost=1.2574, reader_cost=0.0007 | ETA 10:04:11 2020-12-16 02:12:02 [INFO] [TRAIN] epoch=138, iter=51180/80000, loss=0.2120, lr=0.003990, batch_cost=1.2869, reader_cost=0.0001 | ETA 10:18:08 2020-12-16 02:12:14 [INFO] [TRAIN] epoch=138, iter=51190/80000, loss=0.1246, lr=0.003989, batch_cost=1.1711, reader_cost=0.0001 | ETA 09:22:18 2020-12-16 02:12:24 [INFO] [TRAIN] epoch=138, iter=51200/80000, loss=0.1476, lr=0.003987, batch_cost=1.0602, reader_cost=0.0001 | ETA 08:28:53 2020-12-16 02:12:35 [INFO] [TRAIN] epoch=138, iter=51210/80000, loss=0.1315, lr=0.003986, batch_cost=1.0830, reader_cost=0.0020 | ETA 08:39:39 2020-12-16 02:12:46 [INFO] [TRAIN] epoch=138, iter=51220/80000, loss=0.2027, lr=0.003985, batch_cost=1.0923, reader_cost=0.0001 | ETA 08:43:55 2020-12-16 02:12:57 [INFO] [TRAIN] epoch=138, iter=51230/80000, loss=0.1707, lr=0.003984, batch_cost=1.0638, reader_cost=0.0003 | ETA 08:30:06 2020-12-16 02:13:10 [INFO] [TRAIN] epoch=138, iter=51240/80000, loss=0.1979, lr=0.003982, batch_cost=1.2723, reader_cost=0.0017 | ETA 10:09:49 2020-12-16 02:13:24 [INFO] [TRAIN] epoch=138, iter=51250/80000, loss=0.1612, lr=0.003981, batch_cost=1.4087, reader_cost=0.0002 | ETA 11:15:00 2020-12-16 02:13:36 [INFO] [TRAIN] epoch=138, iter=51260/80000, loss=0.1775, lr=0.003980, batch_cost=1.2190, reader_cost=0.0034 | ETA 09:43:54 2020-12-16 02:13:48 [INFO] [TRAIN] epoch=138, iter=51270/80000, loss=0.1194, lr=0.003979, batch_cost=1.1744, reader_cost=0.0046 | ETA 09:22:19 2020-12-16 02:13:59 [INFO] [TRAIN] epoch=138, iter=51280/80000, loss=0.1347, lr=0.003977, batch_cost=1.1254, reader_cost=0.0005 | ETA 08:58:40 2020-12-16 02:14:11 [INFO] [TRAIN] epoch=138, iter=51290/80000, loss=0.1964, lr=0.003976, batch_cost=1.1716, reader_cost=0.0015 | ETA 09:20:37 2020-12-16 02:14:22 [INFO] [TRAIN] epoch=138, iter=51300/80000, loss=0.1151, lr=0.003975, batch_cost=1.1535, reader_cost=0.0006 | ETA 09:11:44 2020-12-16 02:14:35 [INFO] [TRAIN] epoch=138, iter=51310/80000, loss=0.1478, lr=0.003974, batch_cost=1.2535, reader_cost=0.0024 | ETA 09:59:23 2020-12-16 02:14:47 [INFO] [TRAIN] epoch=138, iter=51320/80000, loss=0.1391, lr=0.003972, batch_cost=1.2604, reader_cost=0.0011 | ETA 10:02:27 2020-12-16 02:14:59 [INFO] [TRAIN] epoch=138, iter=51330/80000, loss=0.1822, lr=0.003971, batch_cost=1.1666, reader_cost=0.0005 | ETA 09:17:25 2020-12-16 02:15:11 [INFO] [TRAIN] epoch=139, iter=51340/80000, loss=0.1495, lr=0.003970, batch_cost=1.2312, reader_cost=0.0811 | ETA 09:48:07 2020-12-16 02:15:23 [INFO] [TRAIN] epoch=139, iter=51350/80000, loss=0.1925, lr=0.003969, batch_cost=1.1796, reader_cost=0.0001 | ETA 09:23:16 2020-12-16 02:15:35 [INFO] [TRAIN] epoch=139, iter=51360/80000, loss=0.1736, lr=0.003967, batch_cost=1.2147, reader_cost=0.0001 | ETA 09:39:50 2020-12-16 02:15:46 [INFO] [TRAIN] epoch=139, iter=51370/80000, loss=0.1270, lr=0.003966, batch_cost=1.0858, reader_cost=0.0001 | ETA 08:38:06 2020-12-16 02:15:54 [INFO] [TRAIN] epoch=139, iter=51380/80000, loss=0.1752, lr=0.003965, batch_cost=0.8313, reader_cost=0.0001 | ETA 06:36:31 2020-12-16 02:16:03 [INFO] [TRAIN] epoch=139, iter=51390/80000, loss=0.1439, lr=0.003964, batch_cost=0.8379, reader_cost=0.0001 | ETA 06:39:31 2020-12-16 02:16:13 [INFO] [TRAIN] epoch=139, iter=51400/80000, loss=0.1642, lr=0.003962, batch_cost=1.0298, reader_cost=0.0027 | ETA 08:10:52 2020-12-16 02:16:25 [INFO] [TRAIN] epoch=139, iter=51410/80000, loss=0.1668, lr=0.003961, batch_cost=1.1905, reader_cost=0.0014 | ETA 09:27:15 2020-12-16 02:16:38 [INFO] [TRAIN] epoch=139, iter=51420/80000, loss=0.1725, lr=0.003960, batch_cost=1.2720, reader_cost=0.0025 | ETA 10:05:54 2020-12-16 02:16:50 [INFO] [TRAIN] epoch=139, iter=51430/80000, loss=0.1911, lr=0.003959, batch_cost=1.2251, reader_cost=0.0002 | ETA 09:43:20 2020-12-16 02:17:02 [INFO] [TRAIN] epoch=139, iter=51440/80000, loss=0.1155, lr=0.003957, batch_cost=1.1983, reader_cost=0.0025 | ETA 09:30:22 2020-12-16 02:17:14 [INFO] [TRAIN] epoch=139, iter=51450/80000, loss=0.2315, lr=0.003956, batch_cost=1.1836, reader_cost=0.0001 | ETA 09:23:13 2020-12-16 02:17:27 [INFO] [TRAIN] epoch=139, iter=51460/80000, loss=0.1165, lr=0.003955, batch_cost=1.3131, reader_cost=0.0008 | ETA 10:24:35 2020-12-16 02:17:39 [INFO] [TRAIN] epoch=139, iter=51470/80000, loss=0.1907, lr=0.003954, batch_cost=1.1643, reader_cost=0.0033 | ETA 09:13:36 2020-12-16 02:17:51 [INFO] [TRAIN] epoch=139, iter=51480/80000, loss=0.1579, lr=0.003952, batch_cost=1.1989, reader_cost=0.0018 | ETA 09:29:52 2020-12-16 02:18:03 [INFO] [TRAIN] epoch=139, iter=51490/80000, loss=0.2494, lr=0.003951, batch_cost=1.2147, reader_cost=0.0019 | ETA 09:37:11 2020-12-16 02:18:15 [INFO] [TRAIN] epoch=139, iter=51500/80000, loss=0.1200, lr=0.003950, batch_cost=1.2704, reader_cost=0.0024 | ETA 10:03:26 2020-12-16 02:18:27 [INFO] [TRAIN] epoch=139, iter=51510/80000, loss=0.1362, lr=0.003949, batch_cost=1.1837, reader_cost=0.0005 | ETA 09:22:03 2020-12-16 02:18:40 [INFO] [TRAIN] epoch=139, iter=51520/80000, loss=0.1764, lr=0.003947, batch_cost=1.2654, reader_cost=0.0006 | ETA 10:00:37 2020-12-16 02:18:53 [INFO] [TRAIN] epoch=139, iter=51530/80000, loss=0.1658, lr=0.003946, batch_cost=1.2819, reader_cost=0.0004 | ETA 10:08:16 2020-12-16 02:19:06 [INFO] [TRAIN] epoch=139, iter=51540/80000, loss=0.1534, lr=0.003945, batch_cost=1.2926, reader_cost=0.0030 | ETA 10:13:08 2020-12-16 02:19:17 [INFO] [TRAIN] epoch=139, iter=51550/80000, loss=0.1784, lr=0.003944, batch_cost=1.1100, reader_cost=0.0001 | ETA 08:46:18 2020-12-16 02:19:30 [INFO] [TRAIN] epoch=139, iter=51560/80000, loss=0.1818, lr=0.003942, batch_cost=1.3316, reader_cost=0.0002 | ETA 10:31:10 2020-12-16 02:19:42 [INFO] [TRAIN] epoch=139, iter=51570/80000, loss=0.2103, lr=0.003941, batch_cost=1.1856, reader_cost=0.0001 | ETA 09:21:45 2020-12-16 02:19:54 [INFO] [TRAIN] epoch=139, iter=51580/80000, loss=0.1619, lr=0.003940, batch_cost=1.2253, reader_cost=0.0007 | ETA 09:40:22 2020-12-16 02:20:06 [INFO] [TRAIN] epoch=139, iter=51590/80000, loss=0.1410, lr=0.003939, batch_cost=1.2274, reader_cost=0.0001 | ETA 09:41:09 2020-12-16 02:20:18 [INFO] [TRAIN] epoch=139, iter=51600/80000, loss=0.2980, lr=0.003937, batch_cost=1.1230, reader_cost=0.0004 | ETA 08:51:32 2020-12-16 02:20:26 [INFO] [TRAIN] epoch=139, iter=51610/80000, loss=0.1396, lr=0.003936, batch_cost=0.8319, reader_cost=0.0001 | ETA 06:33:38 2020-12-16 02:20:35 [INFO] [TRAIN] epoch=139, iter=51620/80000, loss=0.1628, lr=0.003935, batch_cost=0.8924, reader_cost=0.0001 | ETA 07:02:05 2020-12-16 02:20:45 [INFO] [TRAIN] epoch=139, iter=51630/80000, loss=0.1659, lr=0.003934, batch_cost=0.9640, reader_cost=0.0001 | ETA 07:35:49 2020-12-16 02:20:57 [INFO] [TRAIN] epoch=139, iter=51640/80000, loss=0.1544, lr=0.003932, batch_cost=1.2276, reader_cost=0.0001 | ETA 09:40:14 2020-12-16 02:21:09 [INFO] [TRAIN] epoch=139, iter=51650/80000, loss=0.1689, lr=0.003931, batch_cost=1.2362, reader_cost=0.0034 | ETA 09:44:06 2020-12-16 02:21:21 [INFO] [TRAIN] epoch=139, iter=51660/80000, loss=0.4869, lr=0.003930, batch_cost=1.1986, reader_cost=0.0010 | ETA 09:26:07 2020-12-16 02:21:32 [INFO] [TRAIN] epoch=139, iter=51670/80000, loss=0.1874, lr=0.003929, batch_cost=1.1178, reader_cost=0.0031 | ETA 08:47:47 2020-12-16 02:21:43 [INFO] [TRAIN] epoch=139, iter=51680/80000, loss=0.1510, lr=0.003928, batch_cost=1.1127, reader_cost=0.0029 | ETA 08:45:10 2020-12-16 02:21:55 [INFO] [TRAIN] epoch=139, iter=51690/80000, loss=0.1979, lr=0.003926, batch_cost=1.1127, reader_cost=0.0008 | ETA 08:45:01 2020-12-16 02:22:07 [INFO] [TRAIN] epoch=139, iter=51700/80000, loss=0.1680, lr=0.003925, batch_cost=1.2016, reader_cost=0.0001 | ETA 09:26:45 2020-12-16 02:22:18 [INFO] [TRAIN] epoch=140, iter=51710/80000, loss=0.2062, lr=0.003924, batch_cost=1.1394, reader_cost=0.0505 | ETA 08:57:14 2020-12-16 02:22:31 [INFO] [TRAIN] epoch=140, iter=51720/80000, loss=0.1816, lr=0.003923, batch_cost=1.3094, reader_cost=0.0038 | ETA 10:17:09 2020-12-16 02:22:45 [INFO] [TRAIN] epoch=140, iter=51730/80000, loss=0.1289, lr=0.003921, batch_cost=1.3459, reader_cost=0.0002 | ETA 10:34:09 2020-12-16 02:22:56 [INFO] [TRAIN] epoch=140, iter=51740/80000, loss=0.1578, lr=0.003920, batch_cost=1.1916, reader_cost=0.0001 | ETA 09:21:15 2020-12-16 02:23:08 [INFO] [TRAIN] epoch=140, iter=51750/80000, loss=0.1609, lr=0.003919, batch_cost=1.1566, reader_cost=0.0001 | ETA 09:04:34 2020-12-16 02:23:21 [INFO] [TRAIN] epoch=140, iter=51760/80000, loss=0.1668, lr=0.003918, batch_cost=1.2542, reader_cost=0.0005 | ETA 09:50:18 2020-12-16 02:23:33 [INFO] [TRAIN] epoch=140, iter=51770/80000, loss=0.1171, lr=0.003916, batch_cost=1.2259, reader_cost=0.0004 | ETA 09:36:47 2020-12-16 02:23:45 [INFO] [TRAIN] epoch=140, iter=51780/80000, loss=0.1580, lr=0.003915, batch_cost=1.2019, reader_cost=0.0001 | ETA 09:25:17 2020-12-16 02:23:58 [INFO] [TRAIN] epoch=140, iter=51790/80000, loss=0.1325, lr=0.003914, batch_cost=1.2789, reader_cost=0.0021 | ETA 10:01:18 2020-12-16 02:24:09 [INFO] [TRAIN] epoch=140, iter=51800/80000, loss=0.1779, lr=0.003913, batch_cost=1.1799, reader_cost=0.0010 | ETA 09:14:34 2020-12-16 02:24:22 [INFO] [TRAIN] epoch=140, iter=51810/80000, loss=0.1497, lr=0.003911, batch_cost=1.2516, reader_cost=0.0001 | ETA 09:48:03 2020-12-16 02:24:34 [INFO] [TRAIN] epoch=140, iter=51820/80000, loss=0.1354, lr=0.003910, batch_cost=1.2376, reader_cost=0.0027 | ETA 09:41:14 2020-12-16 02:24:48 [INFO] [TRAIN] epoch=140, iter=51830/80000, loss=0.2159, lr=0.003909, batch_cost=1.3205, reader_cost=0.0017 | ETA 10:19:58 2020-12-16 02:24:57 [INFO] [TRAIN] epoch=140, iter=51840/80000, loss=0.1450, lr=0.003908, batch_cost=0.9317, reader_cost=0.0006 | ETA 07:17:16 2020-12-16 02:25:05 [INFO] [TRAIN] epoch=140, iter=51850/80000, loss=0.1345, lr=0.003906, batch_cost=0.8270, reader_cost=0.0001 | ETA 06:27:59 2020-12-16 02:25:14 [INFO] [TRAIN] epoch=140, iter=51860/80000, loss=0.1809, lr=0.003905, batch_cost=0.8973, reader_cost=0.0001 | ETA 07:00:50 2020-12-16 02:25:26 [INFO] [TRAIN] epoch=140, iter=51870/80000, loss=0.1602, lr=0.003904, batch_cost=1.1944, reader_cost=0.0007 | ETA 09:19:58 2020-12-16 02:25:39 [INFO] [TRAIN] epoch=140, iter=51880/80000, loss=0.1785, lr=0.003903, batch_cost=1.2437, reader_cost=0.0020 | ETA 09:42:52 2020-12-16 02:25:51 [INFO] [TRAIN] epoch=140, iter=51890/80000, loss=0.1360, lr=0.003901, batch_cost=1.2349, reader_cost=0.0006 | ETA 09:38:33 2020-12-16 02:26:03 [INFO] [TRAIN] epoch=140, iter=51900/80000, loss=0.1851, lr=0.003900, batch_cost=1.2211, reader_cost=0.0026 | ETA 09:31:53 2020-12-16 02:26:15 [INFO] [TRAIN] epoch=140, iter=51910/80000, loss=0.1985, lr=0.003899, batch_cost=1.2004, reader_cost=0.0007 | ETA 09:22:00 2020-12-16 02:26:28 [INFO] [TRAIN] epoch=140, iter=51920/80000, loss=0.1899, lr=0.003898, batch_cost=1.2804, reader_cost=0.0001 | ETA 09:59:14 2020-12-16 02:26:40 [INFO] [TRAIN] epoch=140, iter=51930/80000, loss=0.1932, lr=0.003896, batch_cost=1.2430, reader_cost=0.0002 | ETA 09:41:31 2020-12-16 02:26:52 [INFO] [TRAIN] epoch=140, iter=51940/80000, loss=0.1601, lr=0.003895, batch_cost=1.1629, reader_cost=0.0001 | ETA 09:03:50 2020-12-16 02:27:03 [INFO] [TRAIN] epoch=140, iter=51950/80000, loss=0.1582, lr=0.003894, batch_cost=1.1465, reader_cost=0.0025 | ETA 08:55:59 2020-12-16 02:27:16 [INFO] [TRAIN] epoch=140, iter=51960/80000, loss=0.1419, lr=0.003893, batch_cost=1.2179, reader_cost=0.0005 | ETA 09:29:10 2020-12-16 02:27:27 [INFO] [TRAIN] epoch=140, iter=51970/80000, loss=0.1456, lr=0.003891, batch_cost=1.1716, reader_cost=0.0001 | ETA 09:07:20 2020-12-16 02:27:39 [INFO] [TRAIN] epoch=140, iter=51980/80000, loss=0.1726, lr=0.003890, batch_cost=1.2059, reader_cost=0.0001 | ETA 09:23:08 2020-12-16 02:27:51 [INFO] [TRAIN] epoch=140, iter=51990/80000, loss=0.1373, lr=0.003889, batch_cost=1.1660, reader_cost=0.0006 | ETA 09:04:19 2020-12-16 02:28:04 [INFO] [TRAIN] epoch=140, iter=52000/80000, loss=0.1417, lr=0.003888, batch_cost=1.2811, reader_cost=0.0005 | ETA 09:57:49 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 02:28:04 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 02:28:55 [INFO] [EVAL] #Images=500 mIoU=0.7853 Acc=0.9605 Kappa=0.9487 2020-12-16 02:28:55 [INFO] [EVAL] Class IoU: [0.9816 0.8466 0.926 0.5747 0.6231 0.603 0.7059 0.7832 0.9231 0.6511 0.9457 0.8134 0.6314 0.9492 0.8138 0.8906 0.8362 0.6473 0.7742] 2020-12-16 02:28:55 [INFO] [EVAL] Class Acc: [0.9912 0.9141 0.9558 0.8649 0.767 0.7891 0.8218 0.8889 0.9586 0.8555 0.9661 0.8801 0.768 0.9727 0.886 0.9289 0.9379 0.8597 0.8539] 2020-12-16 02:29:01 [INFO] [EVAL] The model with the best validation mIoU (0.7880) was saved at iter 51000. 2020-12-16 02:29:12 [INFO] [TRAIN] epoch=140, iter=52010/80000, loss=0.1571, lr=0.003886, batch_cost=1.0350, reader_cost=0.0001 | ETA 08:02:49 2020-12-16 02:29:23 [INFO] [TRAIN] epoch=140, iter=52020/80000, loss=0.1385, lr=0.003885, batch_cost=1.1529, reader_cost=0.0027 | ETA 08:57:38 2020-12-16 02:29:33 [INFO] [TRAIN] epoch=140, iter=52030/80000, loss=0.1763, lr=0.003884, batch_cost=0.9301, reader_cost=0.0017 | ETA 07:13:36 2020-12-16 02:29:41 [INFO] [TRAIN] epoch=140, iter=52040/80000, loss=0.1733, lr=0.003883, batch_cost=0.8071, reader_cost=0.0001 | ETA 06:16:07 2020-12-16 02:29:50 [INFO] [TRAIN] epoch=140, iter=52050/80000, loss=0.1197, lr=0.003881, batch_cost=0.8933, reader_cost=0.0005 | ETA 06:56:08 2020-12-16 02:30:00 [INFO] [TRAIN] epoch=140, iter=52060/80000, loss=0.1373, lr=0.003880, batch_cost=1.0710, reader_cost=0.0010 | ETA 08:18:42 2020-12-16 02:30:12 [INFO] [TRAIN] epoch=140, iter=52070/80000, loss=0.1600, lr=0.003879, batch_cost=1.1810, reader_cost=0.0001 | ETA 09:09:45 2020-12-16 02:30:21 [INFO] [TRAIN] epoch=140, iter=52080/80000, loss=0.1328, lr=0.003878, batch_cost=0.9237, reader_cost=0.0001 | ETA 07:09:49 2020-12-16 02:30:35 [INFO] [TRAIN] epoch=141, iter=52090/80000, loss=0.1314, lr=0.003876, batch_cost=1.3240, reader_cost=0.0578 | ETA 10:15:53 2020-12-16 02:30:46 [INFO] [TRAIN] epoch=141, iter=52100/80000, loss=0.1544, lr=0.003875, batch_cost=1.1532, reader_cost=0.0007 | ETA 08:56:14 2020-12-16 02:30:59 [INFO] [TRAIN] epoch=141, iter=52110/80000, loss=0.1437, lr=0.003874, batch_cost=1.2605, reader_cost=0.0001 | ETA 09:45:55 2020-12-16 02:31:11 [INFO] [TRAIN] epoch=141, iter=52120/80000, loss=0.1627, lr=0.003873, batch_cost=1.1806, reader_cost=0.0004 | ETA 09:08:34 2020-12-16 02:31:23 [INFO] [TRAIN] epoch=141, iter=52130/80000, loss=0.1746, lr=0.003871, batch_cost=1.2748, reader_cost=0.0021 | ETA 09:52:09 2020-12-16 02:31:35 [INFO] [TRAIN] epoch=141, iter=52140/80000, loss=0.1298, lr=0.003870, batch_cost=1.1782, reader_cost=0.0001 | ETA 09:07:04 2020-12-16 02:31:47 [INFO] [TRAIN] epoch=141, iter=52150/80000, loss=0.1380, lr=0.003869, batch_cost=1.2136, reader_cost=0.0005 | ETA 09:23:17 2020-12-16 02:31:59 [INFO] [TRAIN] epoch=141, iter=52160/80000, loss=0.1467, lr=0.003868, batch_cost=1.2019, reader_cost=0.0001 | ETA 09:17:41 2020-12-16 02:32:12 [INFO] [TRAIN] epoch=141, iter=52170/80000, loss=0.1894, lr=0.003866, batch_cost=1.2862, reader_cost=0.0001 | ETA 09:56:35 2020-12-16 02:32:25 [INFO] [TRAIN] epoch=141, iter=52180/80000, loss=0.1735, lr=0.003865, batch_cost=1.2754, reader_cost=0.0001 | ETA 09:51:22 2020-12-16 02:32:38 [INFO] [TRAIN] epoch=141, iter=52190/80000, loss=0.1260, lr=0.003864, batch_cost=1.2721, reader_cost=0.0021 | ETA 09:49:37 2020-12-16 02:32:49 [INFO] [TRAIN] epoch=141, iter=52200/80000, loss=0.1730, lr=0.003863, batch_cost=1.1038, reader_cost=0.0009 | ETA 08:31:25 2020-12-16 02:33:01 [INFO] [TRAIN] epoch=141, iter=52210/80000, loss=0.1285, lr=0.003861, batch_cost=1.2139, reader_cost=0.0009 | ETA 09:22:13 2020-12-16 02:33:13 [INFO] [TRAIN] epoch=141, iter=52220/80000, loss=0.1683, lr=0.003860, batch_cost=1.2758, reader_cost=0.0018 | ETA 09:50:41 2020-12-16 02:33:25 [INFO] [TRAIN] epoch=141, iter=52230/80000, loss=0.1319, lr=0.003859, batch_cost=1.1594, reader_cost=0.0006 | ETA 08:56:35 2020-12-16 02:33:37 [INFO] [TRAIN] epoch=141, iter=52240/80000, loss=0.1416, lr=0.003858, batch_cost=1.1519, reader_cost=0.0001 | ETA 08:52:55 2020-12-16 02:33:49 [INFO] [TRAIN] epoch=141, iter=52250/80000, loss=0.1229, lr=0.003856, batch_cost=1.2247, reader_cost=0.0027 | ETA 09:26:26 2020-12-16 02:34:00 [INFO] [TRAIN] epoch=141, iter=52260/80000, loss=0.1367, lr=0.003855, batch_cost=1.1159, reader_cost=0.0006 | ETA 08:35:54 2020-12-16 02:34:09 [INFO] [TRAIN] epoch=141, iter=52270/80000, loss=0.1496, lr=0.003854, batch_cost=0.8932, reader_cost=0.0006 | ETA 06:52:47 2020-12-16 02:34:17 [INFO] [TRAIN] epoch=141, iter=52280/80000, loss=0.1559, lr=0.003853, batch_cost=0.8163, reader_cost=0.0001 | ETA 06:17:06 2020-12-16 02:34:26 [INFO] [TRAIN] epoch=141, iter=52290/80000, loss=0.2460, lr=0.003851, batch_cost=0.9037, reader_cost=0.0001 | ETA 06:57:20 2020-12-16 02:34:37 [INFO] [TRAIN] epoch=141, iter=52300/80000, loss=0.1343, lr=0.003850, batch_cost=1.1269, reader_cost=0.0018 | ETA 08:40:15 2020-12-16 02:34:50 [INFO] [TRAIN] epoch=141, iter=52310/80000, loss=0.1351, lr=0.003849, batch_cost=1.2759, reader_cost=0.0001 | ETA 09:48:50 2020-12-16 02:35:02 [INFO] [TRAIN] epoch=141, iter=52320/80000, loss=0.1724, lr=0.003848, batch_cost=1.2154, reader_cost=0.0006 | ETA 09:20:43 2020-12-16 02:35:14 [INFO] [TRAIN] epoch=141, iter=52330/80000, loss=0.1965, lr=0.003846, batch_cost=1.1498, reader_cost=0.0004 | ETA 08:50:16 2020-12-16 02:35:22 [INFO] [TRAIN] epoch=141, iter=52340/80000, loss=0.1338, lr=0.003845, batch_cost=0.8264, reader_cost=0.0001 | ETA 06:20:59 2020-12-16 02:35:30 [INFO] [TRAIN] epoch=141, iter=52350/80000, loss=0.1453, lr=0.003844, batch_cost=0.8140, reader_cost=0.0001 | ETA 06:15:06 2020-12-16 02:35:38 [INFO] [TRAIN] epoch=141, iter=52360/80000, loss=0.1577, lr=0.003843, batch_cost=0.8276, reader_cost=0.0001 | ETA 06:21:14 2020-12-16 02:35:47 [INFO] [TRAIN] epoch=141, iter=52370/80000, loss=0.1939, lr=0.003841, batch_cost=0.8460, reader_cost=0.0001 | ETA 06:29:35 2020-12-16 02:35:58 [INFO] [TRAIN] epoch=141, iter=52380/80000, loss=0.1970, lr=0.003840, batch_cost=1.0681, reader_cost=0.0021 | ETA 08:11:42 2020-12-16 02:36:10 [INFO] [TRAIN] epoch=141, iter=52390/80000, loss=0.2087, lr=0.003839, batch_cost=1.2206, reader_cost=0.0012 | ETA 09:21:39 2020-12-16 02:36:21 [INFO] [TRAIN] epoch=141, iter=52400/80000, loss=0.1337, lr=0.003838, batch_cost=1.1660, reader_cost=0.0022 | ETA 08:56:21 2020-12-16 02:36:34 [INFO] [TRAIN] epoch=141, iter=52410/80000, loss=0.1352, lr=0.003836, batch_cost=1.2308, reader_cost=0.0004 | ETA 09:25:57 2020-12-16 02:36:45 [INFO] [TRAIN] epoch=141, iter=52420/80000, loss=0.1688, lr=0.003835, batch_cost=1.1643, reader_cost=0.0011 | ETA 08:55:10 2020-12-16 02:36:56 [INFO] [TRAIN] epoch=141, iter=52430/80000, loss=0.1656, lr=0.003834, batch_cost=1.1050, reader_cost=0.0001 | ETA 08:27:44 2020-12-16 02:37:10 [INFO] [TRAIN] epoch=141, iter=52440/80000, loss=0.1536, lr=0.003833, batch_cost=1.3008, reader_cost=0.0029 | ETA 09:57:29 2020-12-16 02:37:21 [INFO] [TRAIN] epoch=141, iter=52450/80000, loss=0.1460, lr=0.003831, batch_cost=1.1325, reader_cost=0.0029 | ETA 08:39:59 2020-12-16 02:37:34 [INFO] [TRAIN] epoch=142, iter=52460/80000, loss=0.2227, lr=0.003830, batch_cost=1.2739, reader_cost=0.0708 | ETA 09:44:41 2020-12-16 02:37:44 [INFO] [TRAIN] epoch=142, iter=52470/80000, loss=0.1712, lr=0.003829, batch_cost=1.0748, reader_cost=0.0001 | ETA 08:13:10 2020-12-16 02:37:56 [INFO] [TRAIN] epoch=142, iter=52480/80000, loss=0.1686, lr=0.003828, batch_cost=1.2027, reader_cost=0.0014 | ETA 09:11:38 2020-12-16 02:38:09 [INFO] [TRAIN] epoch=142, iter=52490/80000, loss=0.1416, lr=0.003826, batch_cost=1.2276, reader_cost=0.0005 | ETA 09:22:51 2020-12-16 02:38:21 [INFO] [TRAIN] epoch=142, iter=52500/80000, loss=0.3361, lr=0.003825, batch_cost=1.2659, reader_cost=0.0001 | ETA 09:40:10 2020-12-16 02:38:34 [INFO] [TRAIN] epoch=142, iter=52510/80000, loss=0.1301, lr=0.003824, batch_cost=1.2445, reader_cost=0.0001 | ETA 09:30:10 2020-12-16 02:38:46 [INFO] [TRAIN] epoch=142, iter=52520/80000, loss=0.2139, lr=0.003823, batch_cost=1.2444, reader_cost=0.0001 | ETA 09:29:57 2020-12-16 02:38:59 [INFO] [TRAIN] epoch=142, iter=52530/80000, loss=0.2045, lr=0.003821, batch_cost=1.2631, reader_cost=0.0004 | ETA 09:38:16 2020-12-16 02:39:11 [INFO] [TRAIN] epoch=142, iter=52540/80000, loss=0.1248, lr=0.003820, batch_cost=1.2008, reader_cost=0.0001 | ETA 09:09:34 2020-12-16 02:39:19 [INFO] [TRAIN] epoch=142, iter=52550/80000, loss=0.1656, lr=0.003819, batch_cost=0.7948, reader_cost=0.0001 | ETA 06:03:36 2020-12-16 02:39:28 [INFO] [TRAIN] epoch=142, iter=52560/80000, loss=0.1649, lr=0.003817, batch_cost=0.8895, reader_cost=0.0027 | ETA 06:46:47 2020-12-16 02:39:38 [INFO] [TRAIN] epoch=142, iter=52570/80000, loss=0.1768, lr=0.003816, batch_cost=1.0145, reader_cost=0.0028 | ETA 07:43:47 2020-12-16 02:39:51 [INFO] [TRAIN] epoch=142, iter=52580/80000, loss=0.1669, lr=0.003815, batch_cost=1.3302, reader_cost=0.0025 | ETA 10:07:53 2020-12-16 02:40:03 [INFO] [TRAIN] epoch=142, iter=52590/80000, loss=0.2007, lr=0.003814, batch_cost=1.1878, reader_cost=0.0001 | ETA 09:02:38 2020-12-16 02:40:15 [INFO] [TRAIN] epoch=142, iter=52600/80000, loss=0.2251, lr=0.003812, batch_cost=1.1896, reader_cost=0.0015 | ETA 09:03:13 2020-12-16 02:40:26 [INFO] [TRAIN] epoch=142, iter=52610/80000, loss=0.1605, lr=0.003811, batch_cost=1.1613, reader_cost=0.0006 | ETA 08:50:07 2020-12-16 02:40:39 [INFO] [TRAIN] epoch=142, iter=52620/80000, loss=0.1916, lr=0.003810, batch_cost=1.2901, reader_cost=0.0001 | ETA 09:48:44 2020-12-16 02:40:51 [INFO] [TRAIN] epoch=142, iter=52630/80000, loss=0.1889, lr=0.003809, batch_cost=1.1705, reader_cost=0.0006 | ETA 08:53:57 2020-12-16 02:41:02 [INFO] [TRAIN] epoch=142, iter=52640/80000, loss=0.1432, lr=0.003807, batch_cost=1.1098, reader_cost=0.0001 | ETA 08:26:03 2020-12-16 02:41:14 [INFO] [TRAIN] epoch=142, iter=52650/80000, loss=0.1472, lr=0.003806, batch_cost=1.1930, reader_cost=0.0001 | ETA 09:03:47 2020-12-16 02:41:27 [INFO] [TRAIN] epoch=142, iter=52660/80000, loss=0.1650, lr=0.003805, batch_cost=1.3191, reader_cost=0.0018 | ETA 10:01:03 2020-12-16 02:41:40 [INFO] [TRAIN] epoch=142, iter=52670/80000, loss=0.1352, lr=0.003804, batch_cost=1.2174, reader_cost=0.0004 | ETA 09:14:31 2020-12-16 02:41:52 [INFO] [TRAIN] epoch=142, iter=52680/80000, loss=0.1943, lr=0.003802, batch_cost=1.2677, reader_cost=0.0024 | ETA 09:37:13 2020-12-16 02:42:04 [INFO] [TRAIN] epoch=142, iter=52690/80000, loss=0.1267, lr=0.003801, batch_cost=1.2143, reader_cost=0.0008 | ETA 09:12:43 2020-12-16 02:42:17 [INFO] [TRAIN] epoch=142, iter=52700/80000, loss=0.1868, lr=0.003800, batch_cost=1.2469, reader_cost=0.0001 | ETA 09:27:20 2020-12-16 02:42:29 [INFO] [TRAIN] epoch=142, iter=52710/80000, loss=0.1520, lr=0.003799, batch_cost=1.1704, reader_cost=0.0004 | ETA 08:52:20 2020-12-16 02:42:41 [INFO] [TRAIN] epoch=142, iter=52720/80000, loss=0.1765, lr=0.003797, batch_cost=1.2047, reader_cost=0.0052 | ETA 09:07:44 2020-12-16 02:42:52 [INFO] [TRAIN] epoch=142, iter=52730/80000, loss=0.1007, lr=0.003796, batch_cost=1.1746, reader_cost=0.0010 | ETA 08:53:50 2020-12-16 02:43:04 [INFO] [TRAIN] epoch=142, iter=52740/80000, loss=0.1479, lr=0.003795, batch_cost=1.1212, reader_cost=0.0001 | ETA 08:29:24 2020-12-16 02:43:17 [INFO] [TRAIN] epoch=142, iter=52750/80000, loss=0.1525, lr=0.003794, batch_cost=1.3139, reader_cost=0.0014 | ETA 09:56:43 2020-12-16 02:43:30 [INFO] [TRAIN] epoch=142, iter=52760/80000, loss=0.2273, lr=0.003792, batch_cost=1.3534, reader_cost=0.0001 | ETA 10:14:25 2020-12-16 02:43:43 [INFO] [TRAIN] epoch=142, iter=52770/80000, loss=0.1427, lr=0.003791, batch_cost=1.3009, reader_cost=0.0001 | ETA 09:50:22 2020-12-16 02:43:52 [INFO] [TRAIN] epoch=142, iter=52780/80000, loss=0.1584, lr=0.003790, batch_cost=0.8450, reader_cost=0.0005 | ETA 06:23:19 2020-12-16 02:44:00 [INFO] [TRAIN] epoch=142, iter=52790/80000, loss=0.1513, lr=0.003789, batch_cost=0.8509, reader_cost=0.0001 | ETA 06:25:54 2020-12-16 02:44:10 [INFO] [TRAIN] epoch=142, iter=52800/80000, loss=0.1356, lr=0.003787, batch_cost=0.9729, reader_cost=0.0001 | ETA 07:21:03 2020-12-16 02:44:23 [INFO] [TRAIN] epoch=142, iter=52810/80000, loss=0.1410, lr=0.003786, batch_cost=1.2829, reader_cost=0.0004 | ETA 09:41:22 2020-12-16 02:44:35 [INFO] [TRAIN] epoch=142, iter=52820/80000, loss=0.1744, lr=0.003785, batch_cost=1.1873, reader_cost=0.0022 | ETA 08:57:51 2020-12-16 02:44:47 [INFO] [TRAIN] epoch=143, iter=52830/80000, loss=0.1316, lr=0.003784, batch_cost=1.2353, reader_cost=0.0538 | ETA 09:19:23 2020-12-16 02:44:59 [INFO] [TRAIN] epoch=143, iter=52840/80000, loss=0.1855, lr=0.003782, batch_cost=1.2525, reader_cost=0.0006 | ETA 09:26:58 2020-12-16 02:45:11 [INFO] [TRAIN] epoch=143, iter=52850/80000, loss=0.1137, lr=0.003781, batch_cost=1.1703, reader_cost=0.0002 | ETA 08:49:34 2020-12-16 02:45:24 [INFO] [TRAIN] epoch=143, iter=52860/80000, loss=0.1516, lr=0.003780, batch_cost=1.2652, reader_cost=0.0014 | ETA 09:32:18 2020-12-16 02:45:36 [INFO] [TRAIN] epoch=143, iter=52870/80000, loss=0.1667, lr=0.003779, batch_cost=1.2357, reader_cost=0.0001 | ETA 09:18:45 2020-12-16 02:45:48 [INFO] [TRAIN] epoch=143, iter=52880/80000, loss=0.1838, lr=0.003777, batch_cost=1.1420, reader_cost=0.0014 | ETA 08:36:10 2020-12-16 02:46:00 [INFO] [TRAIN] epoch=143, iter=52890/80000, loss=0.1190, lr=0.003776, batch_cost=1.2384, reader_cost=0.0011 | ETA 09:19:31 2020-12-16 02:46:12 [INFO] [TRAIN] epoch=143, iter=52900/80000, loss=0.1445, lr=0.003775, batch_cost=1.1755, reader_cost=0.0001 | ETA 08:50:56 2020-12-16 02:46:23 [INFO] [TRAIN] epoch=143, iter=52910/80000, loss=0.1694, lr=0.003774, batch_cost=1.1001, reader_cost=0.0001 | ETA 08:16:40 2020-12-16 02:46:35 [INFO] [TRAIN] epoch=143, iter=52920/80000, loss=0.1713, lr=0.003772, batch_cost=1.2030, reader_cost=0.0001 | ETA 09:02:55 2020-12-16 02:46:48 [INFO] [TRAIN] epoch=143, iter=52930/80000, loss=0.1524, lr=0.003771, batch_cost=1.3147, reader_cost=0.0020 | ETA 09:53:09 2020-12-16 02:47:00 [INFO] [TRAIN] epoch=143, iter=52940/80000, loss=0.1362, lr=0.003770, batch_cost=1.2346, reader_cost=0.0010 | ETA 09:16:49 2020-12-16 02:47:12 [INFO] [TRAIN] epoch=143, iter=52950/80000, loss=0.1433, lr=0.003769, batch_cost=1.1307, reader_cost=0.0001 | ETA 08:29:45 2020-12-16 02:47:23 [INFO] [TRAIN] epoch=143, iter=52960/80000, loss=0.1463, lr=0.003767, batch_cost=1.1606, reader_cost=0.0007 | ETA 08:43:02 2020-12-16 02:47:36 [INFO] [TRAIN] epoch=143, iter=52970/80000, loss=0.1548, lr=0.003766, batch_cost=1.2876, reader_cost=0.0012 | ETA 09:40:04 2020-12-16 02:47:50 [INFO] [TRAIN] epoch=143, iter=52980/80000, loss=0.1329, lr=0.003765, batch_cost=1.3554, reader_cost=0.0042 | ETA 10:10:23 2020-12-16 02:48:02 [INFO] [TRAIN] epoch=143, iter=52990/80000, loss=0.1787, lr=0.003764, batch_cost=1.1980, reader_cost=0.0024 | ETA 08:59:18 2020-12-16 02:48:13 [INFO] [TRAIN] epoch=143, iter=53000/80000, loss=0.1392, lr=0.003762, batch_cost=1.1336, reader_cost=0.0001 | ETA 08:30:07 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 02:48:13 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 02:49:03 [INFO] [EVAL] #Images=500 mIoU=0.7893 Acc=0.9610 Kappa=0.9495 2020-12-16 02:49:03 [INFO] [EVAL] Class IoU: [0.9824 0.855 0.9257 0.559 0.6205 0.6089 0.7075 0.777 0.9227 0.6525 0.9468 0.8162 0.632 0.9522 0.8604 0.9052 0.8366 0.6659 0.7699] 2020-12-16 02:49:03 [INFO] [EVAL] Class Acc: [0.9931 0.9152 0.9589 0.8718 0.8101 0.7693 0.8358 0.9131 0.9501 0.8498 0.9716 0.8938 0.746 0.9714 0.9418 0.9546 0.9428 0.8423 0.8419] 2020-12-16 02:49:13 [INFO] [EVAL] The model with the best validation mIoU (0.7893) was saved at iter 53000. 2020-12-16 02:49:25 [INFO] [TRAIN] epoch=143, iter=53010/80000, loss=0.1078, lr=0.003761, batch_cost=1.1583, reader_cost=0.0031 | ETA 08:41:01 2020-12-16 02:49:37 [INFO] [TRAIN] epoch=143, iter=53020/80000, loss=0.1519, lr=0.003760, batch_cost=1.2255, reader_cost=0.0001 | ETA 09:11:04 2020-12-16 02:49:49 [INFO] [TRAIN] epoch=143, iter=53030/80000, loss=0.1507, lr=0.003759, batch_cost=1.2302, reader_cost=0.0001 | ETA 09:12:58 2020-12-16 02:50:01 [INFO] [TRAIN] epoch=143, iter=53040/80000, loss=0.1902, lr=0.003757, batch_cost=1.1805, reader_cost=0.0027 | ETA 08:50:27 2020-12-16 02:50:13 [INFO] [TRAIN] epoch=143, iter=53050/80000, loss=0.1532, lr=0.003756, batch_cost=1.2154, reader_cost=0.0004 | ETA 09:05:54 2020-12-16 02:50:27 [INFO] [TRAIN] epoch=143, iter=53060/80000, loss=0.1638, lr=0.003755, batch_cost=1.3227, reader_cost=0.0029 | ETA 09:53:52 2020-12-16 02:50:39 [INFO] [TRAIN] epoch=143, iter=53070/80000, loss=0.1814, lr=0.003754, batch_cost=1.2819, reader_cost=0.0028 | ETA 09:35:22 2020-12-16 02:50:51 [INFO] [TRAIN] epoch=143, iter=53080/80000, loss=0.1557, lr=0.003752, batch_cost=1.2017, reader_cost=0.0001 | ETA 08:59:09 2020-12-16 02:51:03 [INFO] [TRAIN] epoch=143, iter=53090/80000, loss=0.1989, lr=0.003751, batch_cost=1.1684, reader_cost=0.0027 | ETA 08:44:00 2020-12-16 02:51:15 [INFO] [TRAIN] epoch=143, iter=53100/80000, loss=0.1745, lr=0.003750, batch_cost=1.1891, reader_cost=0.0001 | ETA 08:53:05 2020-12-16 02:51:27 [INFO] [TRAIN] epoch=143, iter=53110/80000, loss=0.2417, lr=0.003749, batch_cost=1.1980, reader_cost=0.0003 | ETA 08:56:55 2020-12-16 02:51:39 [INFO] [TRAIN] epoch=143, iter=53120/80000, loss=0.1617, lr=0.003747, batch_cost=1.1895, reader_cost=0.0005 | ETA 08:52:52 2020-12-16 02:51:51 [INFO] [TRAIN] epoch=143, iter=53130/80000, loss=0.1350, lr=0.003746, batch_cost=1.2266, reader_cost=0.0001 | ETA 09:09:19 2020-12-16 02:52:03 [INFO] [TRAIN] epoch=143, iter=53140/80000, loss=0.5522, lr=0.003745, batch_cost=1.1932, reader_cost=0.0001 | ETA 08:54:08 2020-12-16 02:52:15 [INFO] [TRAIN] epoch=143, iter=53150/80000, loss=0.2061, lr=0.003744, batch_cost=1.1718, reader_cost=0.0009 | ETA 08:44:23 2020-12-16 02:52:25 [INFO] [TRAIN] epoch=143, iter=53160/80000, loss=0.1707, lr=0.003742, batch_cost=1.0424, reader_cost=0.0005 | ETA 07:46:18 2020-12-16 02:52:38 [INFO] [TRAIN] epoch=143, iter=53170/80000, loss=0.2127, lr=0.003741, batch_cost=1.2361, reader_cost=0.0003 | ETA 09:12:43 2020-12-16 02:52:51 [INFO] [TRAIN] epoch=143, iter=53180/80000, loss=0.1550, lr=0.003740, batch_cost=1.3856, reader_cost=0.0021 | ETA 10:19:21 2020-12-16 02:53:00 [INFO] [TRAIN] epoch=143, iter=53190/80000, loss=0.1661, lr=0.003739, batch_cost=0.8308, reader_cost=0.0001 | ETA 06:11:12 2020-12-16 02:53:09 [INFO] [TRAIN] epoch=144, iter=53200/80000, loss=0.1987, lr=0.003737, batch_cost=0.8906, reader_cost=0.0568 | ETA 06:37:46 2020-12-16 02:53:18 [INFO] [TRAIN] epoch=144, iter=53210/80000, loss=0.1483, lr=0.003736, batch_cost=0.9870, reader_cost=0.0001 | ETA 07:20:42 2020-12-16 02:53:30 [INFO] [TRAIN] epoch=144, iter=53220/80000, loss=0.1661, lr=0.003735, batch_cost=1.1736, reader_cost=0.0014 | ETA 08:43:49 2020-12-16 02:53:42 [INFO] [TRAIN] epoch=144, iter=53230/80000, loss=0.1306, lr=0.003734, batch_cost=1.1652, reader_cost=0.0001 | ETA 08:39:53 2020-12-16 02:53:54 [INFO] [TRAIN] epoch=144, iter=53240/80000, loss=0.1586, lr=0.003732, batch_cost=1.2515, reader_cost=0.0006 | ETA 09:18:11 2020-12-16 02:54:06 [INFO] [TRAIN] epoch=144, iter=53250/80000, loss=0.1600, lr=0.003731, batch_cost=1.2055, reader_cost=0.0001 | ETA 08:57:27 2020-12-16 02:54:19 [INFO] [TRAIN] epoch=144, iter=53260/80000, loss=0.1191, lr=0.003730, batch_cost=1.2098, reader_cost=0.0008 | ETA 08:59:09 2020-12-16 02:54:31 [INFO] [TRAIN] epoch=144, iter=53270/80000, loss=0.1536, lr=0.003728, batch_cost=1.2103, reader_cost=0.0015 | ETA 08:59:11 2020-12-16 02:54:43 [INFO] [TRAIN] epoch=144, iter=53280/80000, loss=0.1618, lr=0.003727, batch_cost=1.2521, reader_cost=0.0001 | ETA 09:17:36 2020-12-16 02:54:55 [INFO] [TRAIN] epoch=144, iter=53290/80000, loss=0.1457, lr=0.003726, batch_cost=1.2142, reader_cost=0.0017 | ETA 09:00:31 2020-12-16 02:55:08 [INFO] [TRAIN] epoch=144, iter=53300/80000, loss=0.1324, lr=0.003725, batch_cost=1.2634, reader_cost=0.0001 | ETA 09:22:13 2020-12-16 02:55:19 [INFO] [TRAIN] epoch=144, iter=53310/80000, loss=0.1429, lr=0.003723, batch_cost=1.1389, reader_cost=0.0001 | ETA 08:26:38 2020-12-16 02:55:31 [INFO] [TRAIN] epoch=144, iter=53320/80000, loss=0.1854, lr=0.003722, batch_cost=1.2036, reader_cost=0.0059 | ETA 08:55:12 2020-12-16 02:55:45 [INFO] [TRAIN] epoch=144, iter=53330/80000, loss=0.1342, lr=0.003721, batch_cost=1.3420, reader_cost=0.0009 | ETA 09:56:31 2020-12-16 02:55:57 [INFO] [TRAIN] epoch=144, iter=53340/80000, loss=0.1543, lr=0.003720, batch_cost=1.1708, reader_cost=0.0015 | ETA 08:40:13 2020-12-16 02:56:08 [INFO] [TRAIN] epoch=144, iter=53350/80000, loss=0.1143, lr=0.003718, batch_cost=1.1715, reader_cost=0.0001 | ETA 08:40:21 2020-12-16 02:56:21 [INFO] [TRAIN] epoch=144, iter=53360/80000, loss=0.1451, lr=0.003717, batch_cost=1.2841, reader_cost=0.0001 | ETA 09:30:07 2020-12-16 02:56:33 [INFO] [TRAIN] epoch=144, iter=53370/80000, loss=0.2005, lr=0.003716, batch_cost=1.2115, reader_cost=0.0024 | ETA 08:57:40 2020-12-16 02:56:46 [INFO] [TRAIN] epoch=144, iter=53380/80000, loss=0.1406, lr=0.003715, batch_cost=1.2700, reader_cost=0.0002 | ETA 09:23:27 2020-12-16 02:56:58 [INFO] [TRAIN] epoch=144, iter=53390/80000, loss=0.1591, lr=0.003713, batch_cost=1.2580, reader_cost=0.0024 | ETA 09:17:54 2020-12-16 02:57:11 [INFO] [TRAIN] epoch=144, iter=53400/80000, loss=0.1690, lr=0.003712, batch_cost=1.2684, reader_cost=0.0022 | ETA 09:22:20 2020-12-16 02:57:24 [INFO] [TRAIN] epoch=144, iter=53410/80000, loss=0.2279, lr=0.003711, batch_cost=1.3145, reader_cost=0.0058 | ETA 09:42:33 2020-12-16 02:57:33 [INFO] [TRAIN] epoch=144, iter=53420/80000, loss=0.1179, lr=0.003710, batch_cost=0.8700, reader_cost=0.0001 | ETA 06:25:24 2020-12-16 02:57:41 [INFO] [TRAIN] epoch=144, iter=53430/80000, loss=0.1570, lr=0.003708, batch_cost=0.8271, reader_cost=0.0001 | ETA 06:06:14 2020-12-16 02:57:50 [INFO] [TRAIN] epoch=144, iter=53440/80000, loss=0.1816, lr=0.003707, batch_cost=0.8354, reader_cost=0.0001 | ETA 06:09:48 2020-12-16 02:58:01 [INFO] [TRAIN] epoch=144, iter=53450/80000, loss=0.2159, lr=0.003706, batch_cost=1.1849, reader_cost=0.0019 | ETA 08:44:19 2020-12-16 02:58:14 [INFO] [TRAIN] epoch=144, iter=53460/80000, loss=0.1309, lr=0.003705, batch_cost=1.2736, reader_cost=0.0026 | ETA 09:23:22 2020-12-16 02:58:27 [INFO] [TRAIN] epoch=144, iter=53470/80000, loss=0.1251, lr=0.003703, batch_cost=1.2390, reader_cost=0.0035 | ETA 09:07:50 2020-12-16 02:58:39 [INFO] [TRAIN] epoch=144, iter=53480/80000, loss=0.1537, lr=0.003702, batch_cost=1.2281, reader_cost=0.0010 | ETA 09:02:48 2020-12-16 02:58:52 [INFO] [TRAIN] epoch=144, iter=53490/80000, loss=0.1574, lr=0.003701, batch_cost=1.3006, reader_cost=0.0034 | ETA 09:34:38 2020-12-16 02:59:03 [INFO] [TRAIN] epoch=144, iter=53500/80000, loss=0.1325, lr=0.003700, batch_cost=1.1493, reader_cost=0.0001 | ETA 08:27:36 2020-12-16 02:59:15 [INFO] [TRAIN] epoch=144, iter=53510/80000, loss=0.1735, lr=0.003698, batch_cost=1.2112, reader_cost=0.0001 | ETA 08:54:45 2020-12-16 02:59:28 [INFO] [TRAIN] epoch=144, iter=53520/80000, loss=0.1648, lr=0.003697, batch_cost=1.2620, reader_cost=0.0001 | ETA 09:16:57 2020-12-16 02:59:41 [INFO] [TRAIN] epoch=144, iter=53530/80000, loss=0.1593, lr=0.003696, batch_cost=1.3017, reader_cost=0.0012 | ETA 09:34:16 2020-12-16 02:59:52 [INFO] [TRAIN] epoch=144, iter=53540/80000, loss=0.1606, lr=0.003695, batch_cost=1.1186, reader_cost=0.0001 | ETA 08:13:17 2020-12-16 03:00:05 [INFO] [TRAIN] epoch=144, iter=53550/80000, loss=0.2100, lr=0.003693, batch_cost=1.2335, reader_cost=0.0023 | ETA 09:03:45 2020-12-16 03:00:16 [INFO] [TRAIN] epoch=144, iter=53560/80000, loss=0.1904, lr=0.003692, batch_cost=1.0952, reader_cost=0.0011 | ETA 08:02:37 2020-12-16 03:00:24 [INFO] [TRAIN] epoch=145, iter=53570/80000, loss=0.1506, lr=0.003691, batch_cost=0.8291, reader_cost=0.0509 | ETA 06:05:13 2020-12-16 03:00:33 [INFO] [TRAIN] epoch=145, iter=53580/80000, loss=0.1861, lr=0.003690, batch_cost=0.8598, reader_cost=0.0003 | ETA 06:18:37 2020-12-16 03:00:40 [INFO] [TRAIN] epoch=145, iter=53590/80000, loss=0.1459, lr=0.003688, batch_cost=0.7925, reader_cost=0.0001 | ETA 05:48:49 2020-12-16 03:00:49 [INFO] [TRAIN] epoch=145, iter=53600/80000, loss=0.1784, lr=0.003687, batch_cost=0.8139, reader_cost=0.0001 | ETA 05:58:07 2020-12-16 03:00:59 [INFO] [TRAIN] epoch=145, iter=53610/80000, loss=0.1153, lr=0.003686, batch_cost=1.0492, reader_cost=0.0001 | ETA 07:41:27 2020-12-16 03:01:10 [INFO] [TRAIN] epoch=145, iter=53620/80000, loss=0.1486, lr=0.003685, batch_cost=1.1222, reader_cost=0.0001 | ETA 08:13:22 2020-12-16 03:01:21 [INFO] [TRAIN] epoch=145, iter=53630/80000, loss=0.1206, lr=0.003683, batch_cost=1.0966, reader_cost=0.0008 | ETA 08:01:58 2020-12-16 03:01:33 [INFO] [TRAIN] epoch=145, iter=53640/80000, loss=0.1670, lr=0.003682, batch_cost=1.1846, reader_cost=0.0002 | ETA 08:40:27 2020-12-16 03:01:44 [INFO] [TRAIN] epoch=145, iter=53650/80000, loss=0.1636, lr=0.003681, batch_cost=1.0927, reader_cost=0.0002 | ETA 07:59:53 2020-12-16 03:01:56 [INFO] [TRAIN] epoch=145, iter=53660/80000, loss=0.1781, lr=0.003679, batch_cost=1.2450, reader_cost=0.0011 | ETA 09:06:34 2020-12-16 03:02:09 [INFO] [TRAIN] epoch=145, iter=53670/80000, loss=0.1791, lr=0.003678, batch_cost=1.2401, reader_cost=0.0004 | ETA 09:04:11 2020-12-16 03:02:21 [INFO] [TRAIN] epoch=145, iter=53680/80000, loss=0.1607, lr=0.003677, batch_cost=1.2580, reader_cost=0.0048 | ETA 09:11:51 2020-12-16 03:02:33 [INFO] [TRAIN] epoch=145, iter=53690/80000, loss=0.1565, lr=0.003676, batch_cost=1.1630, reader_cost=0.0027 | ETA 08:29:58 2020-12-16 03:02:42 [INFO] [TRAIN] epoch=145, iter=53700/80000, loss=0.1529, lr=0.003674, batch_cost=0.8642, reader_cost=0.0001 | ETA 06:18:49 2020-12-16 03:02:50 [INFO] [TRAIN] epoch=145, iter=53710/80000, loss=0.1585, lr=0.003673, batch_cost=0.8275, reader_cost=0.0003 | ETA 06:02:34 2020-12-16 03:02:59 [INFO] [TRAIN] epoch=145, iter=53720/80000, loss=0.1771, lr=0.003672, batch_cost=0.8961, reader_cost=0.0001 | ETA 06:32:30 2020-12-16 03:03:11 [INFO] [TRAIN] epoch=145, iter=53730/80000, loss=0.1436, lr=0.003671, batch_cost=1.2263, reader_cost=0.0013 | ETA 08:56:55 2020-12-16 03:03:23 [INFO] [TRAIN] epoch=145, iter=53740/80000, loss=0.1912, lr=0.003669, batch_cost=1.1593, reader_cost=0.0007 | ETA 08:27:23 2020-12-16 03:03:35 [INFO] [TRAIN] epoch=145, iter=53750/80000, loss=0.1591, lr=0.003668, batch_cost=1.2145, reader_cost=0.0001 | ETA 08:51:21 2020-12-16 03:03:46 [INFO] [TRAIN] epoch=145, iter=53760/80000, loss=0.1401, lr=0.003667, batch_cost=1.1290, reader_cost=0.0045 | ETA 08:13:44 2020-12-16 03:03:58 [INFO] [TRAIN] epoch=145, iter=53770/80000, loss=0.1481, lr=0.003666, batch_cost=1.1743, reader_cost=0.0005 | ETA 08:33:22 2020-12-16 03:04:10 [INFO] [TRAIN] epoch=145, iter=53780/80000, loss=0.2026, lr=0.003664, batch_cost=1.1994, reader_cost=0.0001 | ETA 08:44:08 2020-12-16 03:04:22 [INFO] [TRAIN] epoch=145, iter=53790/80000, loss=0.1674, lr=0.003663, batch_cost=1.1651, reader_cost=0.0009 | ETA 08:28:56 2020-12-16 03:04:33 [INFO] [TRAIN] epoch=145, iter=53800/80000, loss=0.1310, lr=0.003662, batch_cost=1.1774, reader_cost=0.0030 | ETA 08:34:08 2020-12-16 03:04:46 [INFO] [TRAIN] epoch=145, iter=53810/80000, loss=0.1298, lr=0.003661, batch_cost=1.2370, reader_cost=0.0031 | ETA 08:59:55 2020-12-16 03:04:57 [INFO] [TRAIN] epoch=145, iter=53820/80000, loss=0.1454, lr=0.003659, batch_cost=1.1020, reader_cost=0.0003 | ETA 08:00:49 2020-12-16 03:05:09 [INFO] [TRAIN] epoch=145, iter=53830/80000, loss=0.1380, lr=0.003658, batch_cost=1.1836, reader_cost=0.0001 | ETA 08:36:15 2020-12-16 03:05:20 [INFO] [TRAIN] epoch=145, iter=53840/80000, loss=0.1315, lr=0.003657, batch_cost=1.1516, reader_cost=0.0001 | ETA 08:22:06 2020-12-16 03:05:32 [INFO] [TRAIN] epoch=145, iter=53850/80000, loss=0.1297, lr=0.003656, batch_cost=1.2197, reader_cost=0.0001 | ETA 08:51:36 2020-12-16 03:05:44 [INFO] [TRAIN] epoch=145, iter=53860/80000, loss=0.1696, lr=0.003654, batch_cost=1.1889, reader_cost=0.0014 | ETA 08:37:57 2020-12-16 03:05:56 [INFO] [TRAIN] epoch=145, iter=53870/80000, loss=0.1591, lr=0.003653, batch_cost=1.2159, reader_cost=0.0001 | ETA 08:49:32 2020-12-16 03:06:10 [INFO] [TRAIN] epoch=145, iter=53880/80000, loss=0.1420, lr=0.003652, batch_cost=1.3214, reader_cost=0.0004 | ETA 09:35:14 2020-12-16 03:06:23 [INFO] [TRAIN] epoch=145, iter=53890/80000, loss=0.1603, lr=0.003651, batch_cost=1.3155, reader_cost=0.0001 | ETA 09:32:26 2020-12-16 03:06:35 [INFO] [TRAIN] epoch=145, iter=53900/80000, loss=0.1393, lr=0.003649, batch_cost=1.2612, reader_cost=0.0030 | ETA 09:08:37 2020-12-16 03:06:48 [INFO] [TRAIN] epoch=145, iter=53910/80000, loss=0.1797, lr=0.003648, batch_cost=1.2861, reader_cost=0.0020 | ETA 09:19:15 2020-12-16 03:07:01 [INFO] [TRAIN] epoch=145, iter=53920/80000, loss=0.1095, lr=0.003647, batch_cost=1.2320, reader_cost=0.0037 | ETA 08:55:30 2020-12-16 03:07:12 [INFO] [TRAIN] epoch=145, iter=53930/80000, loss=0.1076, lr=0.003646, batch_cost=1.1611, reader_cost=0.0033 | ETA 08:24:30 2020-12-16 03:07:20 [INFO] [TRAIN] epoch=145, iter=53940/80000, loss=0.1402, lr=0.003644, batch_cost=0.7703, reader_cost=0.0001 | ETA 05:34:32 2020-12-16 03:07:30 [INFO] [TRAIN] epoch=146, iter=53950/80000, loss=0.1320, lr=0.003643, batch_cost=0.9802, reader_cost=0.0507 | ETA 07:05:35 2020-12-16 03:07:40 [INFO] [TRAIN] epoch=146, iter=53960/80000, loss=0.1283, lr=0.003642, batch_cost=1.0593, reader_cost=0.0001 | ETA 07:39:45 2020-12-16 03:07:53 [INFO] [TRAIN] epoch=146, iter=53970/80000, loss=0.1363, lr=0.003640, batch_cost=1.2249, reader_cost=0.0017 | ETA 08:51:24 2020-12-16 03:08:05 [INFO] [TRAIN] epoch=146, iter=53980/80000, loss=0.1476, lr=0.003639, batch_cost=1.2070, reader_cost=0.0001 | ETA 08:43:25 2020-12-16 03:08:16 [INFO] [TRAIN] epoch=146, iter=53990/80000, loss=0.1602, lr=0.003638, batch_cost=1.1500, reader_cost=0.0002 | ETA 08:18:30 2020-12-16 03:08:28 [INFO] [TRAIN] epoch=146, iter=54000/80000, loss=0.1385, lr=0.003637, batch_cost=1.1747, reader_cost=0.0001 | ETA 08:29:02 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 03:08:28 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 03:09:19 [INFO] [EVAL] #Images=500 mIoU=0.7830 Acc=0.9611 Kappa=0.9496 2020-12-16 03:09:19 [INFO] [EVAL] Class IoU: [0.9827 0.8574 0.9259 0.5597 0.6101 0.6042 0.7033 0.7854 0.9233 0.665 0.9461 0.815 0.6284 0.9516 0.8284 0.8888 0.81 0.6171 0.7739] 2020-12-16 03:09:19 [INFO] [EVAL] Class Acc: [0.9921 0.9244 0.9581 0.8564 0.8059 0.7767 0.8512 0.8842 0.9519 0.8392 0.965 0.8868 0.8 0.972 0.9548 0.9307 0.8868 0.8785 0.8619] 2020-12-16 03:09:25 [INFO] [EVAL] The model with the best validation mIoU (0.7893) was saved at iter 53000. 2020-12-16 03:09:38 [INFO] [TRAIN] epoch=146, iter=54010/80000, loss=0.1270, lr=0.003635, batch_cost=1.2647, reader_cost=0.0012 | ETA 09:07:48 2020-12-16 03:09:51 [INFO] [TRAIN] epoch=146, iter=54020/80000, loss=0.1287, lr=0.003634, batch_cost=1.2679, reader_cost=0.0001 | ETA 09:09:01 2020-12-16 03:10:02 [INFO] [TRAIN] epoch=146, iter=54030/80000, loss=0.1427, lr=0.003633, batch_cost=1.1678, reader_cost=0.0002 | ETA 08:25:28 2020-12-16 03:10:15 [INFO] [TRAIN] epoch=146, iter=54040/80000, loss=0.1367, lr=0.003632, batch_cost=1.2134, reader_cost=0.0006 | ETA 08:45:01 2020-12-16 03:10:28 [INFO] [TRAIN] epoch=146, iter=54050/80000, loss=0.1715, lr=0.003630, batch_cost=1.3603, reader_cost=0.0014 | ETA 09:48:19 2020-12-16 03:10:40 [INFO] [TRAIN] epoch=146, iter=54060/80000, loss=0.1442, lr=0.003629, batch_cost=1.1717, reader_cost=0.0009 | ETA 08:26:34 2020-12-16 03:10:51 [INFO] [TRAIN] epoch=146, iter=54070/80000, loss=0.1745, lr=0.003628, batch_cost=1.1469, reader_cost=0.0009 | ETA 08:15:39 2020-12-16 03:11:04 [INFO] [TRAIN] epoch=146, iter=54080/80000, loss=0.1508, lr=0.003627, batch_cost=1.2742, reader_cost=0.0013 | ETA 09:10:28 2020-12-16 03:11:16 [INFO] [TRAIN] epoch=146, iter=54090/80000, loss=0.1438, lr=0.003625, batch_cost=1.2334, reader_cost=0.0017 | ETA 08:52:36 2020-12-16 03:11:29 [INFO] [TRAIN] epoch=146, iter=54100/80000, loss=0.1442, lr=0.003624, batch_cost=1.2565, reader_cost=0.0022 | ETA 09:02:22 2020-12-16 03:11:41 [INFO] [TRAIN] epoch=146, iter=54110/80000, loss=0.1862, lr=0.003623, batch_cost=1.1576, reader_cost=0.0001 | ETA 08:19:30 2020-12-16 03:11:50 [INFO] [TRAIN] epoch=146, iter=54120/80000, loss=0.1138, lr=0.003622, batch_cost=0.9288, reader_cost=0.0001 | ETA 06:40:37 2020-12-16 03:11:58 [INFO] [TRAIN] epoch=146, iter=54130/80000, loss=0.1555, lr=0.003620, batch_cost=0.8186, reader_cost=0.0001 | ETA 05:52:57 2020-12-16 03:12:07 [INFO] [TRAIN] epoch=146, iter=54140/80000, loss=0.1532, lr=0.003619, batch_cost=0.9265, reader_cost=0.0004 | ETA 06:39:19 2020-12-16 03:12:20 [INFO] [TRAIN] epoch=146, iter=54150/80000, loss=0.1825, lr=0.003618, batch_cost=1.2474, reader_cost=0.0006 | ETA 08:57:24 2020-12-16 03:12:33 [INFO] [TRAIN] epoch=146, iter=54160/80000, loss=0.1926, lr=0.003617, batch_cost=1.2991, reader_cost=0.0004 | ETA 09:19:27 2020-12-16 03:12:44 [INFO] [TRAIN] epoch=146, iter=54170/80000, loss=0.1287, lr=0.003615, batch_cost=1.1162, reader_cost=0.0005 | ETA 08:00:31 2020-12-16 03:12:56 [INFO] [TRAIN] epoch=146, iter=54180/80000, loss=0.1527, lr=0.003614, batch_cost=1.2020, reader_cost=0.0030 | ETA 08:37:16 2020-12-16 03:13:09 [INFO] [TRAIN] epoch=146, iter=54190/80000, loss=0.1389, lr=0.003613, batch_cost=1.3150, reader_cost=0.0001 | ETA 09:25:41 2020-12-16 03:13:21 [INFO] [TRAIN] epoch=146, iter=54200/80000, loss=0.1468, lr=0.003612, batch_cost=1.2272, reader_cost=0.0001 | ETA 08:47:41 2020-12-16 03:13:34 [INFO] [TRAIN] epoch=146, iter=54210/80000, loss=0.1898, lr=0.003610, batch_cost=1.2481, reader_cost=0.0003 | ETA 08:56:27 2020-12-16 03:13:45 [INFO] [TRAIN] epoch=146, iter=54220/80000, loss=0.1451, lr=0.003609, batch_cost=1.1372, reader_cost=0.0021 | ETA 08:08:35 2020-12-16 03:13:57 [INFO] [TRAIN] epoch=146, iter=54230/80000, loss=0.1431, lr=0.003608, batch_cost=1.2097, reader_cost=0.0027 | ETA 08:39:33 2020-12-16 03:14:10 [INFO] [TRAIN] epoch=146, iter=54240/80000, loss=0.1334, lr=0.003606, batch_cost=1.2472, reader_cost=0.0010 | ETA 08:55:28 2020-12-16 03:14:22 [INFO] [TRAIN] epoch=146, iter=54250/80000, loss=0.1138, lr=0.003605, batch_cost=1.1741, reader_cost=0.0001 | ETA 08:23:54 2020-12-16 03:14:34 [INFO] [TRAIN] epoch=146, iter=54260/80000, loss=0.1195, lr=0.003604, batch_cost=1.2650, reader_cost=0.0001 | ETA 09:02:42 2020-12-16 03:14:47 [INFO] [TRAIN] epoch=146, iter=54270/80000, loss=0.1496, lr=0.003603, batch_cost=1.2637, reader_cost=0.0001 | ETA 09:01:55 2020-12-16 03:14:58 [INFO] [TRAIN] epoch=146, iter=54280/80000, loss=0.1828, lr=0.003601, batch_cost=1.1527, reader_cost=0.0001 | ETA 08:14:06 2020-12-16 03:15:10 [INFO] [TRAIN] epoch=146, iter=54290/80000, loss=0.1680, lr=0.003600, batch_cost=1.1923, reader_cost=0.0023 | ETA 08:30:54 2020-12-16 03:15:22 [INFO] [TRAIN] epoch=146, iter=54300/80000, loss=0.2237, lr=0.003599, batch_cost=1.2074, reader_cost=0.0003 | ETA 08:37:09 2020-12-16 03:15:34 [INFO] [TRAIN] epoch=146, iter=54310/80000, loss=0.1676, lr=0.003598, batch_cost=1.1584, reader_cost=0.0001 | ETA 08:15:59 2020-12-16 03:15:47 [INFO] [TRAIN] epoch=147, iter=54320/80000, loss=0.1298, lr=0.003596, batch_cost=1.2558, reader_cost=0.0584 | ETA 08:57:30 2020-12-16 03:15:58 [INFO] [TRAIN] epoch=147, iter=54330/80000, loss=0.1768, lr=0.003595, batch_cost=1.1900, reader_cost=0.0021 | ETA 08:29:07 2020-12-16 03:16:11 [INFO] [TRAIN] epoch=147, iter=54340/80000, loss=0.1912, lr=0.003594, batch_cost=1.2965, reader_cost=0.0008 | ETA 09:14:27 2020-12-16 03:16:20 [INFO] [TRAIN] epoch=147, iter=54350/80000, loss=0.1458, lr=0.003593, batch_cost=0.9092, reader_cost=0.0008 | ETA 06:28:41 2020-12-16 03:16:29 [INFO] [TRAIN] epoch=147, iter=54360/80000, loss=0.1248, lr=0.003591, batch_cost=0.8105, reader_cost=0.0001 | ETA 05:46:20 2020-12-16 03:16:37 [INFO] [TRAIN] epoch=147, iter=54370/80000, loss=0.1043, lr=0.003590, batch_cost=0.8843, reader_cost=0.0001 | ETA 06:17:44 2020-12-16 03:16:49 [INFO] [TRAIN] epoch=147, iter=54380/80000, loss=0.1365, lr=0.003589, batch_cost=1.1672, reader_cost=0.0025 | ETA 08:18:24 2020-12-16 03:17:01 [INFO] [TRAIN] epoch=147, iter=54390/80000, loss=0.1679, lr=0.003588, batch_cost=1.1884, reader_cost=0.0008 | ETA 08:27:15 2020-12-16 03:17:14 [INFO] [TRAIN] epoch=147, iter=54400/80000, loss=0.2058, lr=0.003586, batch_cost=1.2810, reader_cost=0.0013 | ETA 09:06:34 2020-12-16 03:17:26 [INFO] [TRAIN] epoch=147, iter=54410/80000, loss=0.1687, lr=0.003585, batch_cost=1.2504, reader_cost=0.0001 | ETA 08:53:18 2020-12-16 03:17:38 [INFO] [TRAIN] epoch=147, iter=54420/80000, loss=0.1497, lr=0.003584, batch_cost=1.1559, reader_cost=0.0001 | ETA 08:12:47 2020-12-16 03:17:49 [INFO] [TRAIN] epoch=147, iter=54430/80000, loss=0.1282, lr=0.003583, batch_cost=1.1617, reader_cost=0.0001 | ETA 08:15:04 2020-12-16 03:18:01 [INFO] [TRAIN] epoch=147, iter=54440/80000, loss=0.1058, lr=0.003581, batch_cost=1.1774, reader_cost=0.0004 | ETA 08:21:34 2020-12-16 03:18:14 [INFO] [TRAIN] epoch=147, iter=54450/80000, loss=0.1268, lr=0.003580, batch_cost=1.2722, reader_cost=0.0001 | ETA 09:01:45 2020-12-16 03:18:26 [INFO] [TRAIN] epoch=147, iter=54460/80000, loss=0.1528, lr=0.003579, batch_cost=1.1725, reader_cost=0.0029 | ETA 08:19:06 2020-12-16 03:18:37 [INFO] [TRAIN] epoch=147, iter=54470/80000, loss=0.1337, lr=0.003578, batch_cost=1.1297, reader_cost=0.0045 | ETA 08:00:41 2020-12-16 03:18:48 [INFO] [TRAIN] epoch=147, iter=54480/80000, loss=0.1668, lr=0.003576, batch_cost=1.0738, reader_cost=0.0001 | ETA 07:36:44 2020-12-16 03:19:00 [INFO] [TRAIN] epoch=147, iter=54490/80000, loss=0.1486, lr=0.003575, batch_cost=1.2020, reader_cost=0.0027 | ETA 08:31:04 2020-12-16 03:19:12 [INFO] [TRAIN] epoch=147, iter=54500/80000, loss=0.1791, lr=0.003574, batch_cost=1.2562, reader_cost=0.0003 | ETA 08:53:52 2020-12-16 03:19:24 [INFO] [TRAIN] epoch=147, iter=54510/80000, loss=0.2009, lr=0.003572, batch_cost=1.1796, reader_cost=0.0004 | ETA 08:21:07 2020-12-16 03:19:36 [INFO] [TRAIN] epoch=147, iter=54520/80000, loss=0.1551, lr=0.003571, batch_cost=1.2236, reader_cost=0.0012 | ETA 08:39:37 2020-12-16 03:19:50 [INFO] [TRAIN] epoch=147, iter=54530/80000, loss=0.1678, lr=0.003570, batch_cost=1.3184, reader_cost=0.0004 | ETA 09:19:39 2020-12-16 03:20:02 [INFO] [TRAIN] epoch=147, iter=54540/80000, loss=0.1350, lr=0.003569, batch_cost=1.2676, reader_cost=0.0017 | ETA 08:57:53 2020-12-16 03:20:16 [INFO] [TRAIN] epoch=147, iter=54550/80000, loss=0.1667, lr=0.003567, batch_cost=1.3289, reader_cost=0.0001 | ETA 09:23:41 2020-12-16 03:20:27 [INFO] [TRAIN] epoch=147, iter=54560/80000, loss=0.1900, lr=0.003566, batch_cost=1.1465, reader_cost=0.0011 | ETA 08:06:06 2020-12-16 03:20:39 [INFO] [TRAIN] epoch=147, iter=54570/80000, loss=0.1828, lr=0.003565, batch_cost=1.2258, reader_cost=0.0001 | ETA 08:39:32 2020-12-16 03:20:50 [INFO] [TRAIN] epoch=147, iter=54580/80000, loss=0.1483, lr=0.003564, batch_cost=1.0928, reader_cost=0.0002 | ETA 07:42:59 2020-12-16 03:20:58 [INFO] [TRAIN] epoch=147, iter=54590/80000, loss=0.1567, lr=0.003562, batch_cost=0.8183, reader_cost=0.0001 | ETA 05:46:32 2020-12-16 03:21:07 [INFO] [TRAIN] epoch=147, iter=54600/80000, loss=0.1236, lr=0.003561, batch_cost=0.8588, reader_cost=0.0001 | ETA 06:03:33 2020-12-16 03:21:17 [INFO] [TRAIN] epoch=147, iter=54610/80000, loss=0.1340, lr=0.003560, batch_cost=1.0469, reader_cost=0.0014 | ETA 07:22:59 2020-12-16 03:21:30 [INFO] [TRAIN] epoch=147, iter=54620/80000, loss=0.1507, lr=0.003559, batch_cost=1.2351, reader_cost=0.0001 | ETA 08:42:25 2020-12-16 03:21:41 [INFO] [TRAIN] epoch=147, iter=54630/80000, loss=0.1533, lr=0.003557, batch_cost=1.1371, reader_cost=0.0005 | ETA 08:00:48 2020-12-16 03:21:53 [INFO] [TRAIN] epoch=147, iter=54640/80000, loss=0.1478, lr=0.003556, batch_cost=1.2335, reader_cost=0.0021 | ETA 08:41:22 2020-12-16 03:22:06 [INFO] [TRAIN] epoch=147, iter=54650/80000, loss=0.1747, lr=0.003555, batch_cost=1.2577, reader_cost=0.0001 | ETA 08:51:23 2020-12-16 03:22:19 [INFO] [TRAIN] epoch=147, iter=54660/80000, loss=0.1428, lr=0.003554, batch_cost=1.2927, reader_cost=0.0005 | ETA 09:05:57 2020-12-16 03:22:32 [INFO] [TRAIN] epoch=147, iter=54670/80000, loss=0.1688, lr=0.003552, batch_cost=1.2569, reader_cost=0.0008 | ETA 08:50:37 2020-12-16 03:22:44 [INFO] [TRAIN] epoch=147, iter=54680/80000, loss=0.1403, lr=0.003551, batch_cost=1.1967, reader_cost=0.0002 | ETA 08:25:00 2020-12-16 03:22:56 [INFO] [TRAIN] epoch=148, iter=54690/80000, loss=0.1368, lr=0.003550, batch_cost=1.2068, reader_cost=0.0574 | ETA 08:29:04 2020-12-16 03:23:08 [INFO] [TRAIN] epoch=148, iter=54700/80000, loss=0.1510, lr=0.003548, batch_cost=1.2682, reader_cost=0.0005 | ETA 08:54:44 2020-12-16 03:23:21 [INFO] [TRAIN] epoch=148, iter=54710/80000, loss=0.1292, lr=0.003547, batch_cost=1.2870, reader_cost=0.0001 | ETA 09:02:27 2020-12-16 03:23:33 [INFO] [TRAIN] epoch=148, iter=54720/80000, loss=0.1424, lr=0.003546, batch_cost=1.2296, reader_cost=0.0001 | ETA 08:38:03 2020-12-16 03:23:45 [INFO] [TRAIN] epoch=148, iter=54730/80000, loss=0.1334, lr=0.003545, batch_cost=1.1338, reader_cost=0.0005 | ETA 07:57:31 2020-12-16 03:23:58 [INFO] [TRAIN] epoch=148, iter=54740/80000, loss=0.1218, lr=0.003543, batch_cost=1.3103, reader_cost=0.0010 | ETA 09:11:38 2020-12-16 03:24:11 [INFO] [TRAIN] epoch=148, iter=54750/80000, loss=0.1224, lr=0.003542, batch_cost=1.2793, reader_cost=0.0001 | ETA 08:58:21 2020-12-16 03:24:23 [INFO] [TRAIN] epoch=148, iter=54760/80000, loss=0.1408, lr=0.003541, batch_cost=1.2413, reader_cost=0.0005 | ETA 08:42:10 2020-12-16 03:24:36 [INFO] [TRAIN] epoch=148, iter=54770/80000, loss=0.1499, lr=0.003540, batch_cost=1.2695, reader_cost=0.0009 | ETA 08:53:49 2020-12-16 03:24:47 [INFO] [TRAIN] epoch=148, iter=54780/80000, loss=0.1664, lr=0.003538, batch_cost=1.1378, reader_cost=0.0001 | ETA 07:58:15 2020-12-16 03:24:59 [INFO] [TRAIN] epoch=148, iter=54790/80000, loss=0.1202, lr=0.003537, batch_cost=1.1439, reader_cost=0.0002 | ETA 08:00:37 2020-12-16 03:25:11 [INFO] [TRAIN] epoch=148, iter=54800/80000, loss=0.1732, lr=0.003536, batch_cost=1.2265, reader_cost=0.0001 | ETA 08:35:07 2020-12-16 03:25:20 [INFO] [TRAIN] epoch=148, iter=54810/80000, loss=0.1645, lr=0.003535, batch_cost=0.8702, reader_cost=0.0001 | ETA 06:05:20 2020-12-16 03:25:28 [INFO] [TRAIN] epoch=148, iter=54820/80000, loss=0.1598, lr=0.003533, batch_cost=0.8265, reader_cost=0.0001 | ETA 05:46:50 2020-12-16 03:25:36 [INFO] [TRAIN] epoch=148, iter=54830/80000, loss=0.1405, lr=0.003532, batch_cost=0.8335, reader_cost=0.0001 | ETA 05:49:38 2020-12-16 03:25:45 [INFO] [TRAIN] epoch=148, iter=54840/80000, loss=0.1850, lr=0.003531, batch_cost=0.8372, reader_cost=0.0001 | ETA 05:51:03 2020-12-16 03:25:54 [INFO] [TRAIN] epoch=148, iter=54850/80000, loss=0.1679, lr=0.003530, batch_cost=0.9390, reader_cost=0.0004 | ETA 06:33:34 2020-12-16 03:26:02 [INFO] [TRAIN] epoch=148, iter=54860/80000, loss=0.1787, lr=0.003528, batch_cost=0.8490, reader_cost=0.0008 | ETA 05:55:44 2020-12-16 03:26:11 [INFO] [TRAIN] epoch=148, iter=54870/80000, loss=0.1332, lr=0.003527, batch_cost=0.8358, reader_cost=0.0001 | ETA 05:50:03 2020-12-16 03:26:20 [INFO] [TRAIN] epoch=148, iter=54880/80000, loss=0.2337, lr=0.003526, batch_cost=0.9292, reader_cost=0.0001 | ETA 06:29:01 2020-12-16 03:26:32 [INFO] [TRAIN] epoch=148, iter=54890/80000, loss=0.1354, lr=0.003524, batch_cost=1.2345, reader_cost=0.0014 | ETA 08:36:38 2020-12-16 03:26:45 [INFO] [TRAIN] epoch=148, iter=54900/80000, loss=0.1531, lr=0.003523, batch_cost=1.2315, reader_cost=0.0008 | ETA 08:35:10 2020-12-16 03:26:57 [INFO] [TRAIN] epoch=148, iter=54910/80000, loss=0.1552, lr=0.003522, batch_cost=1.2213, reader_cost=0.0014 | ETA 08:30:43 2020-12-16 03:27:09 [INFO] [TRAIN] epoch=148, iter=54920/80000, loss=0.1517, lr=0.003521, batch_cost=1.1994, reader_cost=0.0004 | ETA 08:21:20 2020-12-16 03:27:20 [INFO] [TRAIN] epoch=148, iter=54930/80000, loss=0.1503, lr=0.003519, batch_cost=1.1123, reader_cost=0.0005 | ETA 07:44:46 2020-12-16 03:27:32 [INFO] [TRAIN] epoch=148, iter=54940/80000, loss=0.1502, lr=0.003518, batch_cost=1.1638, reader_cost=0.0002 | ETA 08:06:04 2020-12-16 03:27:45 [INFO] [TRAIN] epoch=148, iter=54950/80000, loss=0.2140, lr=0.003517, batch_cost=1.2914, reader_cost=0.0001 | ETA 08:59:10 2020-12-16 03:27:56 [INFO] [TRAIN] epoch=148, iter=54960/80000, loss=0.2560, lr=0.003516, batch_cost=1.1188, reader_cost=0.0006 | ETA 07:46:53 2020-12-16 03:28:07 [INFO] [TRAIN] epoch=148, iter=54970/80000, loss=0.1283, lr=0.003514, batch_cost=1.1506, reader_cost=0.0001 | ETA 08:00:00 2020-12-16 03:28:18 [INFO] [TRAIN] epoch=148, iter=54980/80000, loss=0.1799, lr=0.003513, batch_cost=1.0893, reader_cost=0.0022 | ETA 07:34:13 2020-12-16 03:28:30 [INFO] [TRAIN] epoch=148, iter=54990/80000, loss=0.1741, lr=0.003512, batch_cost=1.1653, reader_cost=0.0001 | ETA 08:05:43 2020-12-16 03:28:42 [INFO] [TRAIN] epoch=148, iter=55000/80000, loss=0.1408, lr=0.003511, batch_cost=1.2006, reader_cost=0.0001 | ETA 08:20:15 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 03:28:42 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 03:29:33 [INFO] [EVAL] #Images=500 mIoU=0.7769 Acc=0.9599 Kappa=0.9480 2020-12-16 03:29:33 [INFO] [EVAL] Class IoU: [0.9819 0.848 0.9239 0.4926 0.5988 0.6082 0.7035 0.781 0.9234 0.6448 0.9423 0.8146 0.6394 0.9521 0.7694 0.8745 0.8334 0.6545 0.7745] 2020-12-16 03:29:33 [INFO] [EVAL] Class Acc: [0.9933 0.9015 0.9559 0.9025 0.7501 0.7871 0.8413 0.8886 0.9533 0.8828 0.9592 0.8733 0.7916 0.972 0.9411 0.9316 0.9497 0.8336 0.8718] 2020-12-16 03:29:40 [INFO] [EVAL] The model with the best validation mIoU (0.7893) was saved at iter 53000. 2020-12-16 03:29:52 [INFO] [TRAIN] epoch=148, iter=55010/80000, loss=0.1820, lr=0.003509, batch_cost=1.2651, reader_cost=0.0031 | ETA 08:46:55 2020-12-16 03:30:04 [INFO] [TRAIN] epoch=148, iter=55020/80000, loss=0.1807, lr=0.003508, batch_cost=1.1613, reader_cost=0.0001 | ETA 08:03:28 2020-12-16 03:30:16 [INFO] [TRAIN] epoch=148, iter=55030/80000, loss=0.1430, lr=0.003507, batch_cost=1.1767, reader_cost=0.0021 | ETA 08:09:41 2020-12-16 03:30:27 [INFO] [TRAIN] epoch=148, iter=55040/80000, loss=0.1412, lr=0.003506, batch_cost=1.1681, reader_cost=0.0007 | ETA 08:05:56 2020-12-16 03:30:37 [INFO] [TRAIN] epoch=148, iter=55050/80000, loss=0.1494, lr=0.003504, batch_cost=0.9387, reader_cost=0.0001 | ETA 06:30:21 2020-12-16 03:30:46 [INFO] [TRAIN] epoch=149, iter=55060/80000, loss=0.1234, lr=0.003503, batch_cost=0.8970, reader_cost=0.0527 | ETA 06:12:50 2020-12-16 03:30:55 [INFO] [TRAIN] epoch=149, iter=55070/80000, loss=0.1701, lr=0.003502, batch_cost=0.9297, reader_cost=0.0001 | ETA 06:26:16 2020-12-16 03:31:08 [INFO] [TRAIN] epoch=149, iter=55080/80000, loss=0.1359, lr=0.003500, batch_cost=1.3558, reader_cost=0.0002 | ETA 09:23:05 2020-12-16 03:31:20 [INFO] [TRAIN] epoch=149, iter=55090/80000, loss=0.1959, lr=0.003499, batch_cost=1.1724, reader_cost=0.0001 | ETA 08:06:43 2020-12-16 03:31:32 [INFO] [TRAIN] epoch=149, iter=55100/80000, loss=0.1725, lr=0.003498, batch_cost=1.1853, reader_cost=0.0018 | ETA 08:11:53 2020-12-16 03:31:44 [INFO] [TRAIN] epoch=149, iter=55110/80000, loss=0.1392, lr=0.003497, batch_cost=1.1833, reader_cost=0.0013 | ETA 08:10:52 2020-12-16 03:31:56 [INFO] [TRAIN] epoch=149, iter=55120/80000, loss=0.1254, lr=0.003495, batch_cost=1.2006, reader_cost=0.0001 | ETA 08:17:51 2020-12-16 03:32:08 [INFO] [TRAIN] epoch=149, iter=55130/80000, loss=0.1330, lr=0.003494, batch_cost=1.2015, reader_cost=0.0005 | ETA 08:18:01 2020-12-16 03:32:20 [INFO] [TRAIN] epoch=149, iter=55140/80000, loss=0.1692, lr=0.003493, batch_cost=1.2209, reader_cost=0.0039 | ETA 08:25:51 2020-12-16 03:32:32 [INFO] [TRAIN] epoch=149, iter=55150/80000, loss=0.1379, lr=0.003492, batch_cost=1.2125, reader_cost=0.0004 | ETA 08:22:11 2020-12-16 03:32:43 [INFO] [TRAIN] epoch=149, iter=55160/80000, loss=0.1543, lr=0.003490, batch_cost=1.0689, reader_cost=0.0002 | ETA 07:22:32 2020-12-16 03:32:55 [INFO] [TRAIN] epoch=149, iter=55170/80000, loss=0.1846, lr=0.003489, batch_cost=1.2336, reader_cost=0.0031 | ETA 08:30:31 2020-12-16 03:33:06 [INFO] [TRAIN] epoch=149, iter=55180/80000, loss=0.1993, lr=0.003488, batch_cost=1.0718, reader_cost=0.0026 | ETA 07:23:21 2020-12-16 03:33:19 [INFO] [TRAIN] epoch=149, iter=55190/80000, loss=0.1457, lr=0.003487, batch_cost=1.2588, reader_cost=0.0009 | ETA 08:40:30 2020-12-16 03:33:31 [INFO] [TRAIN] epoch=149, iter=55200/80000, loss=0.2088, lr=0.003485, batch_cost=1.2355, reader_cost=0.0062 | ETA 08:30:41 2020-12-16 03:33:42 [INFO] [TRAIN] epoch=149, iter=55210/80000, loss=0.1770, lr=0.003484, batch_cost=1.1030, reader_cost=0.0001 | ETA 07:35:44 2020-12-16 03:33:54 [INFO] [TRAIN] epoch=149, iter=55220/80000, loss=0.1848, lr=0.003483, batch_cost=1.1932, reader_cost=0.0002 | ETA 08:12:47 2020-12-16 03:34:07 [INFO] [TRAIN] epoch=149, iter=55230/80000, loss=0.1525, lr=0.003482, batch_cost=1.2986, reader_cost=0.0006 | ETA 08:56:06 2020-12-16 03:34:19 [INFO] [TRAIN] epoch=149, iter=55240/80000, loss=0.1968, lr=0.003480, batch_cost=1.2319, reader_cost=0.0001 | ETA 08:28:20 2020-12-16 03:34:31 [INFO] [TRAIN] epoch=149, iter=55250/80000, loss=0.1423, lr=0.003479, batch_cost=1.1838, reader_cost=0.0014 | ETA 08:08:18 2020-12-16 03:34:45 [INFO] [TRAIN] epoch=149, iter=55260/80000, loss=0.1443, lr=0.003478, batch_cost=1.3707, reader_cost=0.0027 | ETA 09:25:11 2020-12-16 03:34:57 [INFO] [TRAIN] epoch=149, iter=55270/80000, loss=0.1189, lr=0.003476, batch_cost=1.1901, reader_cost=0.0012 | ETA 08:10:30 2020-12-16 03:35:07 [INFO] [TRAIN] epoch=149, iter=55280/80000, loss=0.1573, lr=0.003475, batch_cost=1.0826, reader_cost=0.0001 | ETA 07:26:00 2020-12-16 03:35:16 [INFO] [TRAIN] epoch=149, iter=55290/80000, loss=0.1375, lr=0.003474, batch_cost=0.8133, reader_cost=0.0001 | ETA 05:34:55 2020-12-16 03:35:24 [INFO] [TRAIN] epoch=149, iter=55300/80000, loss=0.1817, lr=0.003473, batch_cost=0.8600, reader_cost=0.0001 | ETA 05:54:00 2020-12-16 03:35:34 [INFO] [TRAIN] epoch=149, iter=55310/80000, loss=0.2144, lr=0.003471, batch_cost=1.0297, reader_cost=0.0008 | ETA 07:03:44 2020-12-16 03:35:46 [INFO] [TRAIN] epoch=149, iter=55320/80000, loss=0.1441, lr=0.003470, batch_cost=1.1545, reader_cost=0.0036 | ETA 07:54:53 2020-12-16 03:35:57 [INFO] [TRAIN] epoch=149, iter=55330/80000, loss=0.1538, lr=0.003469, batch_cost=1.1323, reader_cost=0.0027 | ETA 07:45:33 2020-12-16 03:36:10 [INFO] [TRAIN] epoch=149, iter=55340/80000, loss=0.1651, lr=0.003468, batch_cost=1.2148, reader_cost=0.0006 | ETA 08:19:17 2020-12-16 03:36:22 [INFO] [TRAIN] epoch=149, iter=55350/80000, loss=0.1225, lr=0.003466, batch_cost=1.2668, reader_cost=0.0007 | ETA 08:40:27 2020-12-16 03:36:33 [INFO] [TRAIN] epoch=149, iter=55360/80000, loss=0.1579, lr=0.003465, batch_cost=1.1060, reader_cost=0.0022 | ETA 07:34:12 2020-12-16 03:36:45 [INFO] [TRAIN] epoch=149, iter=55370/80000, loss=0.1897, lr=0.003464, batch_cost=1.2243, reader_cost=0.0014 | ETA 08:22:34 2020-12-16 03:36:58 [INFO] [TRAIN] epoch=149, iter=55380/80000, loss=0.1509, lr=0.003463, batch_cost=1.2723, reader_cost=0.0014 | ETA 08:42:03 2020-12-16 03:37:09 [INFO] [TRAIN] epoch=149, iter=55390/80000, loss=0.1355, lr=0.003461, batch_cost=1.1167, reader_cost=0.0002 | ETA 07:38:01 2020-12-16 03:37:21 [INFO] [TRAIN] epoch=149, iter=55400/80000, loss=0.2062, lr=0.003460, batch_cost=1.2006, reader_cost=0.0001 | ETA 08:12:13 2020-12-16 03:37:33 [INFO] [TRAIN] epoch=149, iter=55410/80000, loss=0.1240, lr=0.003459, batch_cost=1.2033, reader_cost=0.0021 | ETA 08:13:09 2020-12-16 03:37:46 [INFO] [TRAIN] epoch=149, iter=55420/80000, loss=0.1307, lr=0.003457, batch_cost=1.2180, reader_cost=0.0002 | ETA 08:18:59 2020-12-16 03:37:56 [INFO] [TRAIN] epoch=150, iter=55430/80000, loss=0.1412, lr=0.003456, batch_cost=1.0504, reader_cost=0.0625 | ETA 07:10:07 2020-12-16 03:38:08 [INFO] [TRAIN] epoch=150, iter=55440/80000, loss=0.1221, lr=0.003455, batch_cost=1.1689, reader_cost=0.0015 | ETA 07:58:27 2020-12-16 03:38:20 [INFO] [TRAIN] epoch=150, iter=55450/80000, loss=0.1359, lr=0.003454, batch_cost=1.1934, reader_cost=0.0001 | ETA 08:08:18 2020-12-16 03:38:31 [INFO] [TRAIN] epoch=150, iter=55460/80000, loss=0.2193, lr=0.003452, batch_cost=1.1538, reader_cost=0.0009 | ETA 07:51:53 2020-12-16 03:38:44 [INFO] [TRAIN] epoch=150, iter=55470/80000, loss=0.1276, lr=0.003451, batch_cost=1.2824, reader_cost=0.0012 | ETA 08:44:16 2020-12-16 03:38:56 [INFO] [TRAIN] epoch=150, iter=55480/80000, loss=0.1377, lr=0.003450, batch_cost=1.2348, reader_cost=0.0008 | ETA 08:24:36 2020-12-16 03:39:09 [INFO] [TRAIN] epoch=150, iter=55490/80000, loss=0.1244, lr=0.003449, batch_cost=1.2886, reader_cost=0.0001 | ETA 08:46:24 2020-12-16 03:39:23 [INFO] [TRAIN] epoch=150, iter=55500/80000, loss=0.1542, lr=0.003447, batch_cost=1.3377, reader_cost=0.0014 | ETA 09:06:14 2020-12-16 03:39:37 [INFO] [TRAIN] epoch=150, iter=55510/80000, loss=0.1672, lr=0.003446, batch_cost=1.4039, reader_cost=0.0018 | ETA 09:33:00 2020-12-16 03:39:45 [INFO] [TRAIN] epoch=150, iter=55520/80000, loss=0.1505, lr=0.003445, batch_cost=0.8597, reader_cost=0.0017 | ETA 05:50:46 2020-12-16 03:39:54 [INFO] [TRAIN] epoch=150, iter=55530/80000, loss=0.1923, lr=0.003444, batch_cost=0.8180, reader_cost=0.0001 | ETA 05:33:36 2020-12-16 03:40:02 [INFO] [TRAIN] epoch=150, iter=55540/80000, loss=0.1017, lr=0.003442, batch_cost=0.8777, reader_cost=0.0003 | ETA 05:57:47 2020-12-16 03:40:14 [INFO] [TRAIN] epoch=150, iter=55550/80000, loss=0.1546, lr=0.003441, batch_cost=1.1383, reader_cost=0.0001 | ETA 07:43:51 2020-12-16 03:40:26 [INFO] [TRAIN] epoch=150, iter=55560/80000, loss=0.0989, lr=0.003440, batch_cost=1.2749, reader_cost=0.0001 | ETA 08:39:19 2020-12-16 03:40:39 [INFO] [TRAIN] epoch=150, iter=55570/80000, loss=0.1073, lr=0.003438, batch_cost=1.2655, reader_cost=0.0014 | ETA 08:35:16 2020-12-16 03:40:52 [INFO] [TRAIN] epoch=150, iter=55580/80000, loss=0.1623, lr=0.003437, batch_cost=1.3065, reader_cost=0.0027 | ETA 08:51:44 2020-12-16 03:41:05 [INFO] [TRAIN] epoch=150, iter=55590/80000, loss=0.1493, lr=0.003436, batch_cost=1.2774, reader_cost=0.0005 | ETA 08:39:41 2020-12-16 03:41:18 [INFO] [TRAIN] epoch=150, iter=55600/80000, loss=0.1273, lr=0.003435, batch_cost=1.3189, reader_cost=0.0025 | ETA 08:56:20 2020-12-16 03:41:30 [INFO] [TRAIN] epoch=150, iter=55610/80000, loss=0.1511, lr=0.003433, batch_cost=1.1594, reader_cost=0.0033 | ETA 07:51:17 2020-12-16 03:41:42 [INFO] [TRAIN] epoch=150, iter=55620/80000, loss=0.1510, lr=0.003432, batch_cost=1.2593, reader_cost=0.0002 | ETA 08:31:41 2020-12-16 03:41:55 [INFO] [TRAIN] epoch=150, iter=55630/80000, loss=0.1621, lr=0.003431, batch_cost=1.2220, reader_cost=0.0002 | ETA 08:16:21 2020-12-16 03:42:06 [INFO] [TRAIN] epoch=150, iter=55640/80000, loss=0.1417, lr=0.003430, batch_cost=1.1484, reader_cost=0.0001 | ETA 07:46:14 2020-12-16 03:42:18 [INFO] [TRAIN] epoch=150, iter=55650/80000, loss=0.1480, lr=0.003428, batch_cost=1.1999, reader_cost=0.0001 | ETA 08:06:57 2020-12-16 03:42:29 [INFO] [TRAIN] epoch=150, iter=55660/80000, loss=0.1541, lr=0.003427, batch_cost=1.1432, reader_cost=0.0022 | ETA 07:43:45 2020-12-16 03:42:42 [INFO] [TRAIN] epoch=150, iter=55670/80000, loss=0.1730, lr=0.003426, batch_cost=1.2108, reader_cost=0.0002 | ETA 08:10:57 2020-12-16 03:42:54 [INFO] [TRAIN] epoch=150, iter=55680/80000, loss=0.1429, lr=0.003425, batch_cost=1.2006, reader_cost=0.0001 | ETA 08:06:38 2020-12-16 03:43:06 [INFO] [TRAIN] epoch=150, iter=55690/80000, loss=0.1853, lr=0.003423, batch_cost=1.2370, reader_cost=0.0016 | ETA 08:21:12 2020-12-16 03:43:19 [INFO] [TRAIN] epoch=150, iter=55700/80000, loss=0.1732, lr=0.003422, batch_cost=1.2975, reader_cost=0.0021 | ETA 08:45:30 2020-12-16 03:43:31 [INFO] [TRAIN] epoch=150, iter=55710/80000, loss=0.1492, lr=0.003421, batch_cost=1.1622, reader_cost=0.0001 | ETA 07:50:29 2020-12-16 03:43:42 [INFO] [TRAIN] epoch=150, iter=55720/80000, loss=0.2255, lr=0.003419, batch_cost=1.1002, reader_cost=0.0001 | ETA 07:25:12 2020-12-16 03:43:53 [INFO] [TRAIN] epoch=150, iter=55730/80000, loss=0.1139, lr=0.003418, batch_cost=1.1263, reader_cost=0.0001 | ETA 07:35:36 2020-12-16 03:44:05 [INFO] [TRAIN] epoch=150, iter=55740/80000, loss=0.1098, lr=0.003417, batch_cost=1.2199, reader_cost=0.0001 | ETA 08:13:15 2020-12-16 03:44:16 [INFO] [TRAIN] epoch=150, iter=55750/80000, loss=0.2274, lr=0.003416, batch_cost=1.0739, reader_cost=0.0001 | ETA 07:14:01 2020-12-16 03:44:24 [INFO] [TRAIN] epoch=150, iter=55760/80000, loss=0.1525, lr=0.003414, batch_cost=0.8531, reader_cost=0.0001 | ETA 05:44:39 2020-12-16 03:44:32 [INFO] [TRAIN] epoch=150, iter=55770/80000, loss=0.1218, lr=0.003413, batch_cost=0.8203, reader_cost=0.0003 | ETA 05:31:16 2020-12-16 03:44:42 [INFO] [TRAIN] epoch=150, iter=55780/80000, loss=0.1694, lr=0.003412, batch_cost=0.9779, reader_cost=0.0001 | ETA 06:34:44 2020-12-16 03:44:54 [INFO] [TRAIN] epoch=150, iter=55790/80000, loss=0.2374, lr=0.003411, batch_cost=1.1322, reader_cost=0.0002 | ETA 07:36:49 2020-12-16 03:45:03 [INFO] [TRAIN] epoch=150, iter=55800/80000, loss=0.1240, lr=0.003409, batch_cost=0.9638, reader_cost=0.0016 | ETA 06:28:44 2020-12-16 03:45:17 [INFO] [TRAIN] epoch=151, iter=55810/80000, loss=0.1103, lr=0.003408, batch_cost=1.3602, reader_cost=0.0750 | ETA 09:08:24 2020-12-16 03:45:29 [INFO] [TRAIN] epoch=151, iter=55820/80000, loss=0.1322, lr=0.003407, batch_cost=1.2666, reader_cost=0.0001 | ETA 08:30:25 2020-12-16 03:45:41 [INFO] [TRAIN] epoch=151, iter=55830/80000, loss=0.1159, lr=0.003406, batch_cost=1.1533, reader_cost=0.0025 | ETA 07:44:35 2020-12-16 03:45:53 [INFO] [TRAIN] epoch=151, iter=55840/80000, loss=0.1421, lr=0.003404, batch_cost=1.2323, reader_cost=0.0003 | ETA 08:16:11 2020-12-16 03:46:06 [INFO] [TRAIN] epoch=151, iter=55850/80000, loss=0.1998, lr=0.003403, batch_cost=1.2386, reader_cost=0.0032 | ETA 08:18:33 2020-12-16 03:46:17 [INFO] [TRAIN] epoch=151, iter=55860/80000, loss=0.1907, lr=0.003402, batch_cost=1.1424, reader_cost=0.0014 | ETA 07:39:37 2020-12-16 03:46:30 [INFO] [TRAIN] epoch=151, iter=55870/80000, loss=0.1556, lr=0.003400, batch_cost=1.2697, reader_cost=0.0011 | ETA 08:30:39 2020-12-16 03:46:43 [INFO] [TRAIN] epoch=151, iter=55880/80000, loss=0.1878, lr=0.003399, batch_cost=1.2757, reader_cost=0.0001 | ETA 08:32:50 2020-12-16 03:46:55 [INFO] [TRAIN] epoch=151, iter=55890/80000, loss=0.1765, lr=0.003398, batch_cost=1.2880, reader_cost=0.0002 | ETA 08:37:33 2020-12-16 03:47:07 [INFO] [TRAIN] epoch=151, iter=55900/80000, loss=0.1655, lr=0.003397, batch_cost=1.1678, reader_cost=0.0006 | ETA 07:49:02 2020-12-16 03:47:19 [INFO] [TRAIN] epoch=151, iter=55910/80000, loss=0.1525, lr=0.003395, batch_cost=1.1490, reader_cost=0.0034 | ETA 07:41:19 2020-12-16 03:47:32 [INFO] [TRAIN] epoch=151, iter=55920/80000, loss=0.1178, lr=0.003394, batch_cost=1.2830, reader_cost=0.0019 | ETA 08:34:54 2020-12-16 03:47:42 [INFO] [TRAIN] epoch=151, iter=55930/80000, loss=0.1355, lr=0.003393, batch_cost=1.0997, reader_cost=0.0002 | ETA 07:21:10 2020-12-16 03:47:55 [INFO] [TRAIN] epoch=151, iter=55940/80000, loss=0.1424, lr=0.003392, batch_cost=1.2522, reader_cost=0.0001 | ETA 08:22:07 2020-12-16 03:48:07 [INFO] [TRAIN] epoch=151, iter=55950/80000, loss=0.2415, lr=0.003390, batch_cost=1.2252, reader_cost=0.0036 | ETA 08:11:05 2020-12-16 03:48:20 [INFO] [TRAIN] epoch=151, iter=55960/80000, loss=0.1464, lr=0.003389, batch_cost=1.2261, reader_cost=0.0014 | ETA 08:11:14 2020-12-16 03:48:33 [INFO] [TRAIN] epoch=151, iter=55970/80000, loss=0.7217, lr=0.003388, batch_cost=1.3403, reader_cost=0.0010 | ETA 08:56:47 2020-12-16 03:48:46 [INFO] [TRAIN] epoch=151, iter=55980/80000, loss=0.2533, lr=0.003386, batch_cost=1.2715, reader_cost=0.0028 | ETA 08:29:00 2020-12-16 03:48:55 [INFO] [TRAIN] epoch=151, iter=55990/80000, loss=0.1630, lr=0.003385, batch_cost=0.9288, reader_cost=0.0001 | ETA 06:11:39 2020-12-16 03:49:03 [INFO] [TRAIN] epoch=151, iter=56000/80000, loss=0.1536, lr=0.003384, batch_cost=0.8113, reader_cost=0.0001 | ETA 05:24:32 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 03:49:03 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 03:49:53 [INFO] [EVAL] #Images=500 mIoU=0.7842 Acc=0.9604 Kappa=0.9486 2020-12-16 03:49:53 [INFO] [EVAL] Class IoU: [0.9832 0.8587 0.9244 0.5208 0.616 0.5917 0.7051 0.7783 0.9174 0.6562 0.9465 0.8155 0.6334 0.9516 0.8246 0.9114 0.8482 0.6425 0.7738] 2020-12-16 03:49:53 [INFO] [EVAL] Class Acc: [0.9932 0.9188 0.9623 0.8235 0.835 0.7979 0.8349 0.9132 0.9395 0.813 0.9659 0.8834 0.8104 0.9713 0.9531 0.963 0.9578 0.8496 0.8494] 2020-12-16 03:50:00 [INFO] [EVAL] The model with the best validation mIoU (0.7893) was saved at iter 53000. 2020-12-16 03:50:13 [INFO] [TRAIN] epoch=151, iter=56010/80000, loss=0.1443, lr=0.003383, batch_cost=1.2769, reader_cost=0.0024 | ETA 08:30:32 2020-12-16 03:50:24 [INFO] [TRAIN] epoch=151, iter=56020/80000, loss=0.1226, lr=0.003381, batch_cost=1.1341, reader_cost=0.0001 | ETA 07:33:15 2020-12-16 03:50:35 [INFO] [TRAIN] epoch=151, iter=56030/80000, loss=0.1840, lr=0.003380, batch_cost=1.1031, reader_cost=0.0016 | ETA 07:20:40 2020-12-16 03:50:43 [INFO] [TRAIN] epoch=151, iter=56040/80000, loss=0.1699, lr=0.003379, batch_cost=0.8028, reader_cost=0.0001 | ETA 05:20:34 2020-12-16 03:50:51 [INFO] [TRAIN] epoch=151, iter=56050/80000, loss=0.1424, lr=0.003378, batch_cost=0.8104, reader_cost=0.0001 | ETA 05:23:28 2020-12-16 03:50:59 [INFO] [TRAIN] epoch=151, iter=56060/80000, loss=0.1212, lr=0.003376, batch_cost=0.8103, reader_cost=0.0000 | ETA 05:23:18 2020-12-16 03:51:07 [INFO] [TRAIN] epoch=151, iter=56070/80000, loss=0.1359, lr=0.003375, batch_cost=0.8042, reader_cost=0.0001 | ETA 05:20:45 2020-12-16 03:51:19 [INFO] [TRAIN] epoch=151, iter=56080/80000, loss=0.1340, lr=0.003374, batch_cost=1.1083, reader_cost=0.0006 | ETA 07:21:49 2020-12-16 03:51:31 [INFO] [TRAIN] epoch=151, iter=56090/80000, loss=0.1260, lr=0.003373, batch_cost=1.2193, reader_cost=0.0013 | ETA 08:05:52 2020-12-16 03:51:43 [INFO] [TRAIN] epoch=151, iter=56100/80000, loss=0.1693, lr=0.003371, batch_cost=1.2134, reader_cost=0.0004 | ETA 08:03:20 2020-12-16 03:51:56 [INFO] [TRAIN] epoch=151, iter=56110/80000, loss=0.1440, lr=0.003370, batch_cost=1.2960, reader_cost=0.0001 | ETA 08:36:02 2020-12-16 03:52:09 [INFO] [TRAIN] epoch=151, iter=56120/80000, loss=0.1255, lr=0.003369, batch_cost=1.3022, reader_cost=0.0026 | ETA 08:38:17 2020-12-16 03:52:21 [INFO] [TRAIN] epoch=151, iter=56130/80000, loss=0.1470, lr=0.003367, batch_cost=1.2644, reader_cost=0.0001 | ETA 08:23:00 2020-12-16 03:52:34 [INFO] [TRAIN] epoch=151, iter=56140/80000, loss=0.1685, lr=0.003366, batch_cost=1.2750, reader_cost=0.0004 | ETA 08:27:00 2020-12-16 03:52:46 [INFO] [TRAIN] epoch=151, iter=56150/80000, loss=0.1472, lr=0.003365, batch_cost=1.1875, reader_cost=0.0015 | ETA 07:52:01 2020-12-16 03:52:58 [INFO] [TRAIN] epoch=151, iter=56160/80000, loss=0.1268, lr=0.003364, batch_cost=1.1455, reader_cost=0.0001 | ETA 07:35:08 2020-12-16 03:53:09 [INFO] [TRAIN] epoch=151, iter=56170/80000, loss=0.1948, lr=0.003362, batch_cost=1.1540, reader_cost=0.0030 | ETA 07:38:19 2020-12-16 03:53:22 [INFO] [TRAIN] epoch=152, iter=56180/80000, loss=0.1210, lr=0.003361, batch_cost=1.2754, reader_cost=0.0657 | ETA 08:26:21 2020-12-16 03:53:34 [INFO] [TRAIN] epoch=152, iter=56190/80000, loss=0.1632, lr=0.003360, batch_cost=1.2283, reader_cost=0.0025 | ETA 08:07:25 2020-12-16 03:53:48 [INFO] [TRAIN] epoch=152, iter=56200/80000, loss=0.1576, lr=0.003359, batch_cost=1.3821, reader_cost=0.0017 | ETA 09:08:14 2020-12-16 03:53:59 [INFO] [TRAIN] epoch=152, iter=56210/80000, loss=0.1536, lr=0.003357, batch_cost=1.0825, reader_cost=0.0022 | ETA 07:09:11 2020-12-16 03:54:07 [INFO] [TRAIN] epoch=152, iter=56220/80000, loss=0.1840, lr=0.003356, batch_cost=0.8209, reader_cost=0.0001 | ETA 05:25:20 2020-12-16 03:54:16 [INFO] [TRAIN] epoch=152, iter=56230/80000, loss=0.1791, lr=0.003355, batch_cost=0.8721, reader_cost=0.0001 | ETA 05:45:30 2020-12-16 03:54:27 [INFO] [TRAIN] epoch=152, iter=56240/80000, loss=0.1523, lr=0.003353, batch_cost=1.1199, reader_cost=0.0004 | ETA 07:23:29 2020-12-16 03:54:39 [INFO] [TRAIN] epoch=152, iter=56250/80000, loss=0.2001, lr=0.003352, batch_cost=1.2235, reader_cost=0.0006 | ETA 08:04:18 2020-12-16 03:54:52 [INFO] [TRAIN] epoch=152, iter=56260/80000, loss=0.1262, lr=0.003351, batch_cost=1.2790, reader_cost=0.0003 | ETA 08:26:03 2020-12-16 03:55:04 [INFO] [TRAIN] epoch=152, iter=56270/80000, loss=0.1717, lr=0.003350, batch_cost=1.2362, reader_cost=0.0025 | ETA 08:08:55 2020-12-16 03:55:15 [INFO] [TRAIN] epoch=152, iter=56280/80000, loss=0.1279, lr=0.003348, batch_cost=1.1088, reader_cost=0.0001 | ETA 07:18:21 2020-12-16 03:55:26 [INFO] [TRAIN] epoch=152, iter=56290/80000, loss=0.1853, lr=0.003347, batch_cost=1.0889, reader_cost=0.0002 | ETA 07:10:17 2020-12-16 03:55:38 [INFO] [TRAIN] epoch=152, iter=56300/80000, loss=0.1452, lr=0.003346, batch_cost=1.1249, reader_cost=0.0001 | ETA 07:24:20 2020-12-16 03:55:48 [INFO] [TRAIN] epoch=152, iter=56310/80000, loss=0.1215, lr=0.003345, batch_cost=1.0931, reader_cost=0.0016 | ETA 07:11:34 2020-12-16 03:56:00 [INFO] [TRAIN] epoch=152, iter=56320/80000, loss=0.1469, lr=0.003343, batch_cost=1.1917, reader_cost=0.0001 | ETA 07:50:20 2020-12-16 03:56:12 [INFO] [TRAIN] epoch=152, iter=56330/80000, loss=0.1038, lr=0.003342, batch_cost=1.1764, reader_cost=0.0003 | ETA 07:44:05 2020-12-16 03:56:25 [INFO] [TRAIN] epoch=152, iter=56340/80000, loss=0.1218, lr=0.003341, batch_cost=1.2793, reader_cost=0.0001 | ETA 08:24:27 2020-12-16 03:56:38 [INFO] [TRAIN] epoch=152, iter=56350/80000, loss=0.1491, lr=0.003340, batch_cost=1.2585, reader_cost=0.0023 | ETA 08:16:04 2020-12-16 03:56:49 [INFO] [TRAIN] epoch=152, iter=56360/80000, loss=0.1349, lr=0.003338, batch_cost=1.1783, reader_cost=0.0017 | ETA 07:44:15 2020-12-16 03:57:02 [INFO] [TRAIN] epoch=152, iter=56370/80000, loss=0.1274, lr=0.003337, batch_cost=1.2580, reader_cost=0.0014 | ETA 08:15:25 2020-12-16 03:57:14 [INFO] [TRAIN] epoch=152, iter=56380/80000, loss=0.1405, lr=0.003336, batch_cost=1.1969, reader_cost=0.0005 | ETA 07:51:11 2020-12-16 03:57:25 [INFO] [TRAIN] epoch=152, iter=56390/80000, loss=0.1416, lr=0.003334, batch_cost=1.1445, reader_cost=0.0001 | ETA 07:30:21 2020-12-16 03:57:38 [INFO] [TRAIN] epoch=152, iter=56400/80000, loss=0.1259, lr=0.003333, batch_cost=1.2312, reader_cost=0.0002 | ETA 08:04:15 2020-12-16 03:57:50 [INFO] [TRAIN] epoch=152, iter=56410/80000, loss=0.1558, lr=0.003332, batch_cost=1.2019, reader_cost=0.0024 | ETA 07:52:31 2020-12-16 03:58:02 [INFO] [TRAIN] epoch=152, iter=56420/80000, loss=0.1511, lr=0.003331, batch_cost=1.2036, reader_cost=0.0021 | ETA 07:53:02 2020-12-16 03:58:14 [INFO] [TRAIN] epoch=152, iter=56430/80000, loss=0.1633, lr=0.003329, batch_cost=1.2302, reader_cost=0.0001 | ETA 08:03:15 2020-12-16 03:58:26 [INFO] [TRAIN] epoch=152, iter=56440/80000, loss=0.1171, lr=0.003328, batch_cost=1.2124, reader_cost=0.0001 | ETA 07:56:05 2020-12-16 03:58:35 [INFO] [TRAIN] epoch=152, iter=56450/80000, loss=0.1349, lr=0.003327, batch_cost=0.9361, reader_cost=0.0023 | ETA 06:07:24 2020-12-16 03:58:44 [INFO] [TRAIN] epoch=152, iter=56460/80000, loss=0.1367, lr=0.003326, batch_cost=0.8445, reader_cost=0.0001 | ETA 05:31:19 2020-12-16 03:58:52 [INFO] [TRAIN] epoch=152, iter=56470/80000, loss=0.1674, lr=0.003324, batch_cost=0.8560, reader_cost=0.0001 | ETA 05:35:41 2020-12-16 03:59:06 [INFO] [TRAIN] epoch=152, iter=56480/80000, loss=0.1423, lr=0.003323, batch_cost=1.3073, reader_cost=0.0002 | ETA 08:32:26 2020-12-16 03:59:17 [INFO] [TRAIN] epoch=152, iter=56490/80000, loss=0.1515, lr=0.003322, batch_cost=1.1723, reader_cost=0.0023 | ETA 07:39:21 2020-12-16 03:59:30 [INFO] [TRAIN] epoch=152, iter=56500/80000, loss=0.1905, lr=0.003320, batch_cost=1.2242, reader_cost=0.0002 | ETA 07:59:29 2020-12-16 03:59:42 [INFO] [TRAIN] epoch=152, iter=56510/80000, loss=0.1587, lr=0.003319, batch_cost=1.2479, reader_cost=0.0005 | ETA 08:08:32 2020-12-16 03:59:54 [INFO] [TRAIN] epoch=152, iter=56520/80000, loss=0.1567, lr=0.003318, batch_cost=1.1569, reader_cost=0.0052 | ETA 07:32:44 2020-12-16 04:00:06 [INFO] [TRAIN] epoch=152, iter=56530/80000, loss=0.1357, lr=0.003317, batch_cost=1.2309, reader_cost=0.0001 | ETA 08:01:28 2020-12-16 04:00:17 [INFO] [TRAIN] epoch=152, iter=56540/80000, loss=0.1553, lr=0.003315, batch_cost=1.1423, reader_cost=0.0004 | ETA 07:26:39 2020-12-16 04:00:29 [INFO] [TRAIN] epoch=153, iter=56550/80000, loss=0.1321, lr=0.003314, batch_cost=1.1866, reader_cost=0.0508 | ETA 07:43:45 2020-12-16 04:00:41 [INFO] [TRAIN] epoch=153, iter=56560/80000, loss=0.1719, lr=0.003313, batch_cost=1.2290, reader_cost=0.0005 | ETA 08:00:07 2020-12-16 04:00:54 [INFO] [TRAIN] epoch=153, iter=56570/80000, loss=0.1614, lr=0.003312, batch_cost=1.2382, reader_cost=0.0007 | ETA 08:03:30 2020-12-16 04:01:06 [INFO] [TRAIN] epoch=153, iter=56580/80000, loss=0.1487, lr=0.003310, batch_cost=1.2616, reader_cost=0.0021 | ETA 08:12:26 2020-12-16 04:01:19 [INFO] [TRAIN] epoch=153, iter=56590/80000, loss=0.1690, lr=0.003309, batch_cost=1.2893, reader_cost=0.0023 | ETA 08:23:02 2020-12-16 04:01:31 [INFO] [TRAIN] epoch=153, iter=56600/80000, loss=0.1834, lr=0.003308, batch_cost=1.2101, reader_cost=0.0001 | ETA 07:51:56 2020-12-16 04:01:45 [INFO] [TRAIN] epoch=153, iter=56610/80000, loss=0.1929, lr=0.003306, batch_cost=1.3656, reader_cost=0.0005 | ETA 08:52:21 2020-12-16 04:01:58 [INFO] [TRAIN] epoch=153, iter=56620/80000, loss=0.1149, lr=0.003305, batch_cost=1.3101, reader_cost=0.0001 | ETA 08:30:30 2020-12-16 04:02:11 [INFO] [TRAIN] epoch=153, iter=56630/80000, loss=0.1395, lr=0.003304, batch_cost=1.3025, reader_cost=0.0001 | ETA 08:27:18 2020-12-16 04:02:24 [INFO] [TRAIN] epoch=153, iter=56640/80000, loss=0.1823, lr=0.003303, batch_cost=1.2383, reader_cost=0.0027 | ETA 08:02:06 2020-12-16 04:02:37 [INFO] [TRAIN] epoch=153, iter=56650/80000, loss=0.1210, lr=0.003301, batch_cost=1.3023, reader_cost=0.0029 | ETA 08:26:47 2020-12-16 04:02:48 [INFO] [TRAIN] epoch=153, iter=56660/80000, loss=0.1533, lr=0.003300, batch_cost=1.1203, reader_cost=0.0005 | ETA 07:15:47 2020-12-16 04:03:01 [INFO] [TRAIN] epoch=153, iter=56670/80000, loss=0.1272, lr=0.003299, batch_cost=1.3528, reader_cost=0.0013 | ETA 08:46:00 2020-12-16 04:03:10 [INFO] [TRAIN] epoch=153, iter=56680/80000, loss=0.1668, lr=0.003298, batch_cost=0.8793, reader_cost=0.0001 | ETA 05:41:46 2020-12-16 04:03:19 [INFO] [TRAIN] epoch=153, iter=56690/80000, loss=0.1424, lr=0.003296, batch_cost=0.8385, reader_cost=0.0001 | ETA 05:25:44 2020-12-16 04:03:27 [INFO] [TRAIN] epoch=153, iter=56700/80000, loss=0.1935, lr=0.003295, batch_cost=0.8611, reader_cost=0.0001 | ETA 05:34:23 2020-12-16 04:03:39 [INFO] [TRAIN] epoch=153, iter=56710/80000, loss=0.1387, lr=0.003294, batch_cost=1.1659, reader_cost=0.0001 | ETA 07:32:33 2020-12-16 04:03:50 [INFO] [TRAIN] epoch=153, iter=56720/80000, loss=0.1531, lr=0.003292, batch_cost=1.1643, reader_cost=0.0009 | ETA 07:31:46 2020-12-16 04:04:02 [INFO] [TRAIN] epoch=153, iter=56730/80000, loss=0.1781, lr=0.003291, batch_cost=1.1644, reader_cost=0.0001 | ETA 07:31:35 2020-12-16 04:04:15 [INFO] [TRAIN] epoch=153, iter=56740/80000, loss=0.1260, lr=0.003290, batch_cost=1.3093, reader_cost=0.0001 | ETA 08:27:35 2020-12-16 04:04:28 [INFO] [TRAIN] epoch=153, iter=56750/80000, loss=0.1220, lr=0.003289, batch_cost=1.2483, reader_cost=0.0031 | ETA 08:03:41 2020-12-16 04:04:40 [INFO] [TRAIN] epoch=153, iter=56760/80000, loss=0.1371, lr=0.003287, batch_cost=1.2508, reader_cost=0.0001 | ETA 08:04:28 2020-12-16 04:04:53 [INFO] [TRAIN] epoch=153, iter=56770/80000, loss=0.1865, lr=0.003286, batch_cost=1.2412, reader_cost=0.0001 | ETA 08:00:33 2020-12-16 04:05:05 [INFO] [TRAIN] epoch=153, iter=56780/80000, loss=0.1417, lr=0.003285, batch_cost=1.2597, reader_cost=0.0001 | ETA 08:07:30 2020-12-16 04:05:16 [INFO] [TRAIN] epoch=153, iter=56790/80000, loss=0.1471, lr=0.003284, batch_cost=1.1076, reader_cost=0.0005 | ETA 07:08:26 2020-12-16 04:05:30 [INFO] [TRAIN] epoch=153, iter=56800/80000, loss=0.1904, lr=0.003282, batch_cost=1.3222, reader_cost=0.0006 | ETA 08:31:14 2020-12-16 04:05:42 [INFO] [TRAIN] epoch=153, iter=56810/80000, loss=0.1406, lr=0.003281, batch_cost=1.2600, reader_cost=0.0005 | ETA 08:06:58 2020-12-16 04:05:54 [INFO] [TRAIN] epoch=153, iter=56820/80000, loss=0.1139, lr=0.003280, batch_cost=1.1926, reader_cost=0.0015 | ETA 07:40:44 2020-12-16 04:06:07 [INFO] [TRAIN] epoch=153, iter=56830/80000, loss=0.1239, lr=0.003278, batch_cost=1.2888, reader_cost=0.0009 | ETA 08:17:41 2020-12-16 04:06:19 [INFO] [TRAIN] epoch=153, iter=56840/80000, loss=0.1694, lr=0.003277, batch_cost=1.1667, reader_cost=0.0047 | ETA 07:30:21 2020-12-16 04:06:31 [INFO] [TRAIN] epoch=153, iter=56850/80000, loss=0.1981, lr=0.003276, batch_cost=1.2063, reader_cost=0.0004 | ETA 07:45:26 2020-12-16 04:06:43 [INFO] [TRAIN] epoch=153, iter=56860/80000, loss=0.2262, lr=0.003275, batch_cost=1.2132, reader_cost=0.0001 | ETA 07:47:53 2020-12-16 04:06:55 [INFO] [TRAIN] epoch=153, iter=56870/80000, loss=0.1225, lr=0.003273, batch_cost=1.2368, reader_cost=0.0002 | ETA 07:56:46 2020-12-16 04:07:08 [INFO] [TRAIN] epoch=153, iter=56880/80000, loss=0.1403, lr=0.003272, batch_cost=1.2334, reader_cost=0.0015 | ETA 07:55:15 2020-12-16 04:07:19 [INFO] [TRAIN] epoch=153, iter=56890/80000, loss=0.1651, lr=0.003271, batch_cost=1.1345, reader_cost=0.0010 | ETA 07:16:57 2020-12-16 04:07:31 [INFO] [TRAIN] epoch=153, iter=56900/80000, loss=0.1475, lr=0.003270, batch_cost=1.2155, reader_cost=0.0001 | ETA 07:47:58 2020-12-16 04:07:41 [INFO] [TRAIN] epoch=153, iter=56910/80000, loss=0.1689, lr=0.003268, batch_cost=0.9647, reader_cost=0.0001 | ETA 06:11:14 2020-12-16 04:07:49 [INFO] [TRAIN] epoch=154, iter=56920/80000, loss=0.1386, lr=0.003267, batch_cost=0.8689, reader_cost=0.0633 | ETA 05:34:14 2020-12-16 04:07:58 [INFO] [TRAIN] epoch=154, iter=56930/80000, loss=0.1106, lr=0.003266, batch_cost=0.8859, reader_cost=0.0001 | ETA 05:40:37 2020-12-16 04:08:09 [INFO] [TRAIN] epoch=154, iter=56940/80000, loss=0.1145, lr=0.003264, batch_cost=1.0843, reader_cost=0.0001 | ETA 06:56:43 2020-12-16 04:08:21 [INFO] [TRAIN] epoch=154, iter=56950/80000, loss=0.1784, lr=0.003263, batch_cost=1.2282, reader_cost=0.0001 | ETA 07:51:49 2020-12-16 04:08:33 [INFO] [TRAIN] epoch=154, iter=56960/80000, loss=0.1700, lr=0.003262, batch_cost=1.1662, reader_cost=0.0044 | ETA 07:27:48 2020-12-16 04:08:46 [INFO] [TRAIN] epoch=154, iter=56970/80000, loss=0.2037, lr=0.003261, batch_cost=1.3085, reader_cost=0.0004 | ETA 08:22:13 2020-12-16 04:08:59 [INFO] [TRAIN] epoch=154, iter=56980/80000, loss=0.1312, lr=0.003259, batch_cost=1.2778, reader_cost=0.0004 | ETA 08:10:15 2020-12-16 04:09:12 [INFO] [TRAIN] epoch=154, iter=56990/80000, loss=0.1549, lr=0.003258, batch_cost=1.2934, reader_cost=0.0022 | ETA 08:16:00 2020-12-16 04:09:24 [INFO] [TRAIN] epoch=154, iter=57000/80000, loss=0.1231, lr=0.003257, batch_cost=1.1786, reader_cost=0.0003 | ETA 07:31:48 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 04:09:24 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 04:10:14 [INFO] [EVAL] #Images=500 mIoU=0.7852 Acc=0.9604 Kappa=0.9487 2020-12-16 04:10:14 [INFO] [EVAL] Class IoU: [0.9807 0.8477 0.9271 0.5891 0.6179 0.6139 0.7049 0.7854 0.9233 0.644 0.9459 0.8102 0.6173 0.9481 0.8296 0.8846 0.8414 0.6353 0.7717] 2020-12-16 04:10:14 [INFO] [EVAL] Class Acc: [0.9946 0.898 0.9629 0.8188 0.8194 0.7636 0.8481 0.8897 0.9503 0.8446 0.9631 0.8691 0.801 0.9713 0.9053 0.9305 0.9306 0.8445 0.8773] 2020-12-16 04:10:21 [INFO] [EVAL] The model with the best validation mIoU (0.7893) was saved at iter 53000. 2020-12-16 04:10:32 [INFO] [TRAIN] epoch=154, iter=57010/80000, loss=0.1663, lr=0.003256, batch_cost=1.0907, reader_cost=0.0001 | ETA 06:57:56 2020-12-16 04:10:43 [INFO] [TRAIN] epoch=154, iter=57020/80000, loss=0.1465, lr=0.003254, batch_cost=1.1061, reader_cost=0.0016 | ETA 07:03:37 2020-12-16 04:10:54 [INFO] [TRAIN] epoch=154, iter=57030/80000, loss=0.1613, lr=0.003253, batch_cost=1.1019, reader_cost=0.0001 | ETA 07:01:51 2020-12-16 04:11:06 [INFO] [TRAIN] epoch=154, iter=57040/80000, loss=0.1478, lr=0.003252, batch_cost=1.2140, reader_cost=0.0017 | ETA 07:44:33 2020-12-16 04:11:18 [INFO] [TRAIN] epoch=154, iter=57050/80000, loss=0.1392, lr=0.003250, batch_cost=1.1914, reader_cost=0.0004 | ETA 07:35:43 2020-12-16 04:11:30 [INFO] [TRAIN] epoch=154, iter=57060/80000, loss=0.2336, lr=0.003249, batch_cost=1.2204, reader_cost=0.0001 | ETA 07:46:36 2020-12-16 04:11:42 [INFO] [TRAIN] epoch=154, iter=57070/80000, loss=0.1495, lr=0.003248, batch_cost=1.1493, reader_cost=0.0001 | ETA 07:19:12 2020-12-16 04:11:52 [INFO] [TRAIN] epoch=154, iter=57080/80000, loss=0.2005, lr=0.003247, batch_cost=1.0726, reader_cost=0.0001 | ETA 06:49:43 2020-12-16 04:12:05 [INFO] [TRAIN] epoch=154, iter=57090/80000, loss=0.1370, lr=0.003245, batch_cost=1.2482, reader_cost=0.0011 | ETA 07:56:35 2020-12-16 04:12:14 [INFO] [TRAIN] epoch=154, iter=57100/80000, loss=0.1272, lr=0.003244, batch_cost=0.9440, reader_cost=0.0015 | ETA 06:00:18 2020-12-16 04:12:23 [INFO] [TRAIN] epoch=154, iter=57110/80000, loss=0.1201, lr=0.003243, batch_cost=0.8326, reader_cost=0.0001 | ETA 05:17:38 2020-12-16 04:12:31 [INFO] [TRAIN] epoch=154, iter=57120/80000, loss=0.1415, lr=0.003242, batch_cost=0.8394, reader_cost=0.0001 | ETA 05:20:06 2020-12-16 04:12:41 [INFO] [TRAIN] epoch=154, iter=57130/80000, loss=0.1418, lr=0.003240, batch_cost=1.0189, reader_cost=0.0001 | ETA 06:28:21 2020-12-16 04:12:55 [INFO] [TRAIN] epoch=154, iter=57140/80000, loss=0.1455, lr=0.003239, batch_cost=1.3347, reader_cost=0.0015 | ETA 08:28:32 2020-12-16 04:13:07 [INFO] [TRAIN] epoch=154, iter=57150/80000, loss=0.1427, lr=0.003238, batch_cost=1.2681, reader_cost=0.0001 | ETA 08:02:55 2020-12-16 04:13:21 [INFO] [TRAIN] epoch=154, iter=57160/80000, loss=0.1462, lr=0.003236, batch_cost=1.3483, reader_cost=0.0004 | ETA 08:33:14 2020-12-16 04:13:34 [INFO] [TRAIN] epoch=154, iter=57170/80000, loss=0.2062, lr=0.003235, batch_cost=1.3240, reader_cost=0.0005 | ETA 08:23:47 2020-12-16 04:13:46 [INFO] [TRAIN] epoch=154, iter=57180/80000, loss=0.1365, lr=0.003234, batch_cost=1.2409, reader_cost=0.0001 | ETA 07:51:57 2020-12-16 04:13:58 [INFO] [TRAIN] epoch=154, iter=57190/80000, loss=0.1715, lr=0.003233, batch_cost=1.1563, reader_cost=0.0007 | ETA 07:19:36 2020-12-16 04:14:11 [INFO] [TRAIN] epoch=154, iter=57200/80000, loss=0.1642, lr=0.003231, batch_cost=1.3140, reader_cost=0.0022 | ETA 08:19:19 2020-12-16 04:14:24 [INFO] [TRAIN] epoch=154, iter=57210/80000, loss=0.1193, lr=0.003230, batch_cost=1.2769, reader_cost=0.0013 | ETA 08:04:59 2020-12-16 04:14:35 [INFO] [TRAIN] epoch=154, iter=57220/80000, loss=0.1398, lr=0.003229, batch_cost=1.1295, reader_cost=0.0014 | ETA 07:08:50 2020-12-16 04:14:46 [INFO] [TRAIN] epoch=154, iter=57230/80000, loss=0.1265, lr=0.003227, batch_cost=1.1209, reader_cost=0.0022 | ETA 07:05:23 2020-12-16 04:14:59 [INFO] [TRAIN] epoch=154, iter=57240/80000, loss=0.1705, lr=0.003226, batch_cost=1.2532, reader_cost=0.0001 | ETA 07:55:23 2020-12-16 04:15:11 [INFO] [TRAIN] epoch=154, iter=57250/80000, loss=0.1787, lr=0.003225, batch_cost=1.2342, reader_cost=0.0027 | ETA 07:47:56 2020-12-16 04:15:23 [INFO] [TRAIN] epoch=154, iter=57260/80000, loss=0.1512, lr=0.003224, batch_cost=1.1964, reader_cost=0.0028 | ETA 07:33:25 2020-12-16 04:15:35 [INFO] [TRAIN] epoch=154, iter=57270/80000, loss=0.1640, lr=0.003222, batch_cost=1.1366, reader_cost=0.0005 | ETA 07:10:35 2020-12-16 04:15:43 [INFO] [TRAIN] epoch=154, iter=57280/80000, loss=0.1369, lr=0.003221, batch_cost=0.8225, reader_cost=0.0001 | ETA 05:11:26 2020-12-16 04:15:52 [INFO] [TRAIN] epoch=155, iter=57290/80000, loss=0.1433, lr=0.003220, batch_cost=0.8660, reader_cost=0.0735 | ETA 05:27:47 2020-12-16 04:16:00 [INFO] [TRAIN] epoch=155, iter=57300/80000, loss=0.1620, lr=0.003219, batch_cost=0.8576, reader_cost=0.0009 | ETA 05:24:28 2020-12-16 04:16:08 [INFO] [TRAIN] epoch=155, iter=57310/80000, loss=0.1397, lr=0.003217, batch_cost=0.8129, reader_cost=0.0000 | ETA 05:07:23 2020-12-16 04:16:21 [INFO] [TRAIN] epoch=155, iter=57320/80000, loss=0.1351, lr=0.003216, batch_cost=1.2412, reader_cost=0.0001 | ETA 07:49:10 2020-12-16 04:16:33 [INFO] [TRAIN] epoch=155, iter=57330/80000, loss=0.1522, lr=0.003215, batch_cost=1.1884, reader_cost=0.0015 | ETA 07:29:00 2020-12-16 04:16:44 [INFO] [TRAIN] epoch=155, iter=57340/80000, loss=0.1371, lr=0.003213, batch_cost=1.1257, reader_cost=0.0001 | ETA 07:05:07 2020-12-16 04:16:57 [INFO] [TRAIN] epoch=155, iter=57350/80000, loss=0.1444, lr=0.003212, batch_cost=1.3214, reader_cost=0.0001 | ETA 08:18:49 2020-12-16 04:17:11 [INFO] [TRAIN] epoch=155, iter=57360/80000, loss=0.1590, lr=0.003211, batch_cost=1.3511, reader_cost=0.0020 | ETA 08:29:49 2020-12-16 04:17:21 [INFO] [TRAIN] epoch=155, iter=57370/80000, loss=0.1297, lr=0.003210, batch_cost=1.0602, reader_cost=0.0001 | ETA 06:39:53 2020-12-16 04:17:30 [INFO] [TRAIN] epoch=155, iter=57380/80000, loss=0.1357, lr=0.003208, batch_cost=0.8571, reader_cost=0.0001 | ETA 05:23:07 2020-12-16 04:17:38 [INFO] [TRAIN] epoch=155, iter=57390/80000, loss=0.1290, lr=0.003207, batch_cost=0.8550, reader_cost=0.0001 | ETA 05:22:11 2020-12-16 04:17:49 [INFO] [TRAIN] epoch=155, iter=57400/80000, loss=0.1544, lr=0.003206, batch_cost=1.0304, reader_cost=0.0007 | ETA 06:28:07 2020-12-16 04:18:01 [INFO] [TRAIN] epoch=155, iter=57410/80000, loss=0.1440, lr=0.003205, batch_cost=1.2524, reader_cost=0.0024 | ETA 07:51:30 2020-12-16 04:18:13 [INFO] [TRAIN] epoch=155, iter=57420/80000, loss=0.1424, lr=0.003203, batch_cost=1.2370, reader_cost=0.0004 | ETA 07:45:31 2020-12-16 04:18:27 [INFO] [TRAIN] epoch=155, iter=57430/80000, loss=0.1660, lr=0.003202, batch_cost=1.3445, reader_cost=0.0032 | ETA 08:25:46 2020-12-16 04:18:40 [INFO] [TRAIN] epoch=155, iter=57440/80000, loss=0.1499, lr=0.003201, batch_cost=1.2836, reader_cost=0.0021 | ETA 08:02:37 2020-12-16 04:18:51 [INFO] [TRAIN] epoch=155, iter=57450/80000, loss=0.1645, lr=0.003199, batch_cost=1.1612, reader_cost=0.0018 | ETA 07:16:24 2020-12-16 04:19:04 [INFO] [TRAIN] epoch=155, iter=57460/80000, loss=0.1586, lr=0.003198, batch_cost=1.2668, reader_cost=0.0039 | ETA 07:55:53 2020-12-16 04:19:15 [INFO] [TRAIN] epoch=155, iter=57470/80000, loss=0.2113, lr=0.003197, batch_cost=1.1299, reader_cost=0.0001 | ETA 07:04:15 2020-12-16 04:19:28 [INFO] [TRAIN] epoch=155, iter=57480/80000, loss=0.1555, lr=0.003196, batch_cost=1.2632, reader_cost=0.0002 | ETA 07:54:07 2020-12-16 04:19:40 [INFO] [TRAIN] epoch=155, iter=57490/80000, loss=0.1300, lr=0.003194, batch_cost=1.1821, reader_cost=0.0001 | ETA 07:23:29 2020-12-16 04:19:53 [INFO] [TRAIN] epoch=155, iter=57500/80000, loss=0.1464, lr=0.003193, batch_cost=1.2767, reader_cost=0.0023 | ETA 07:58:46 2020-12-16 04:20:04 [INFO] [TRAIN] epoch=155, iter=57510/80000, loss=0.1372, lr=0.003192, batch_cost=1.1862, reader_cost=0.0029 | ETA 07:24:37 2020-12-16 04:20:17 [INFO] [TRAIN] epoch=155, iter=57520/80000, loss=0.1277, lr=0.003190, batch_cost=1.2514, reader_cost=0.0042 | ETA 07:48:52 2020-12-16 04:20:30 [INFO] [TRAIN] epoch=155, iter=57530/80000, loss=0.1524, lr=0.003189, batch_cost=1.2827, reader_cost=0.0001 | ETA 08:00:22 2020-12-16 04:20:42 [INFO] [TRAIN] epoch=155, iter=57540/80000, loss=0.1360, lr=0.003188, batch_cost=1.2212, reader_cost=0.0035 | ETA 07:37:07 2020-12-16 04:20:55 [INFO] [TRAIN] epoch=155, iter=57550/80000, loss=0.1436, lr=0.003187, batch_cost=1.3115, reader_cost=0.0001 | ETA 08:10:43 2020-12-16 04:21:07 [INFO] [TRAIN] epoch=155, iter=57560/80000, loss=0.1523, lr=0.003185, batch_cost=1.1763, reader_cost=0.0041 | ETA 07:19:55 2020-12-16 04:21:20 [INFO] [TRAIN] epoch=155, iter=57570/80000, loss=0.1460, lr=0.003184, batch_cost=1.3027, reader_cost=0.0022 | ETA 08:06:59 2020-12-16 04:21:33 [INFO] [TRAIN] epoch=155, iter=57580/80000, loss=0.1189, lr=0.003183, batch_cost=1.3084, reader_cost=0.0020 | ETA 08:08:54 2020-12-16 04:21:46 [INFO] [TRAIN] epoch=155, iter=57590/80000, loss=0.1594, lr=0.003182, batch_cost=1.3036, reader_cost=0.0001 | ETA 08:06:52 2020-12-16 04:21:55 [INFO] [TRAIN] epoch=155, iter=57600/80000, loss=0.1552, lr=0.003180, batch_cost=0.9465, reader_cost=0.0019 | ETA 05:53:21 2020-12-16 04:22:04 [INFO] [TRAIN] epoch=155, iter=57610/80000, loss=0.1567, lr=0.003179, batch_cost=0.8240, reader_cost=0.0001 | ETA 05:07:28 2020-12-16 04:22:12 [INFO] [TRAIN] epoch=155, iter=57620/80000, loss=0.1635, lr=0.003178, batch_cost=0.8529, reader_cost=0.0001 | ETA 05:18:07 2020-12-16 04:22:23 [INFO] [TRAIN] epoch=155, iter=57630/80000, loss=0.1327, lr=0.003176, batch_cost=1.0607, reader_cost=0.0007 | ETA 06:35:26 2020-12-16 04:22:35 [INFO] [TRAIN] epoch=155, iter=57640/80000, loss=0.1490, lr=0.003175, batch_cost=1.1751, reader_cost=0.0001 | ETA 07:17:55 2020-12-16 04:22:47 [INFO] [TRAIN] epoch=155, iter=57650/80000, loss=0.1441, lr=0.003174, batch_cost=1.2166, reader_cost=0.0018 | ETA 07:33:11 2020-12-16 04:22:57 [INFO] [TRAIN] epoch=155, iter=57660/80000, loss=0.1864, lr=0.003173, batch_cost=0.9923, reader_cost=0.0002 | ETA 06:09:28 2020-12-16 04:23:09 [INFO] [TRAIN] epoch=156, iter=57670/80000, loss=0.1681, lr=0.003171, batch_cost=1.2536, reader_cost=0.0592 | ETA 07:46:32 2020-12-16 04:23:21 [INFO] [TRAIN] epoch=156, iter=57680/80000, loss=0.1596, lr=0.003170, batch_cost=1.2161, reader_cost=0.0004 | ETA 07:32:22 2020-12-16 04:23:35 [INFO] [TRAIN] epoch=156, iter=57690/80000, loss=0.1433, lr=0.003169, batch_cost=1.3540, reader_cost=0.0024 | ETA 08:23:27 2020-12-16 04:23:48 [INFO] [TRAIN] epoch=156, iter=57700/80000, loss=0.1304, lr=0.003167, batch_cost=1.2716, reader_cost=0.0022 | ETA 07:52:36 2020-12-16 04:24:00 [INFO] [TRAIN] epoch=156, iter=57710/80000, loss=0.1462, lr=0.003166, batch_cost=1.2785, reader_cost=0.0011 | ETA 07:54:57 2020-12-16 04:24:13 [INFO] [TRAIN] epoch=156, iter=57720/80000, loss=0.1701, lr=0.003165, batch_cost=1.2329, reader_cost=0.0006 | ETA 07:37:48 2020-12-16 04:24:25 [INFO] [TRAIN] epoch=156, iter=57730/80000, loss=0.1629, lr=0.003164, batch_cost=1.2580, reader_cost=0.0001 | ETA 07:46:55 2020-12-16 04:24:38 [INFO] [TRAIN] epoch=156, iter=57740/80000, loss=0.1129, lr=0.003162, batch_cost=1.2735, reader_cost=0.0001 | ETA 07:52:28 2020-12-16 04:24:50 [INFO] [TRAIN] epoch=156, iter=57750/80000, loss=0.1435, lr=0.003161, batch_cost=1.1765, reader_cost=0.0032 | ETA 07:16:17 2020-12-16 04:25:02 [INFO] [TRAIN] epoch=156, iter=57760/80000, loss=0.1558, lr=0.003160, batch_cost=1.2043, reader_cost=0.0007 | ETA 07:26:23 2020-12-16 04:25:14 [INFO] [TRAIN] epoch=156, iter=57770/80000, loss=0.1650, lr=0.003159, batch_cost=1.1882, reader_cost=0.0014 | ETA 07:20:13 2020-12-16 04:25:25 [INFO] [TRAIN] epoch=156, iter=57780/80000, loss=0.1311, lr=0.003157, batch_cost=1.1482, reader_cost=0.0009 | ETA 07:05:12 2020-12-16 04:25:37 [INFO] [TRAIN] epoch=156, iter=57790/80000, loss=0.1077, lr=0.003156, batch_cost=1.2254, reader_cost=0.0027 | ETA 07:33:35 2020-12-16 04:25:50 [INFO] [TRAIN] epoch=156, iter=57800/80000, loss=0.2455, lr=0.003155, batch_cost=1.2656, reader_cost=0.0033 | ETA 07:48:17 2020-12-16 04:26:01 [INFO] [TRAIN] epoch=156, iter=57810/80000, loss=0.1682, lr=0.003153, batch_cost=1.1296, reader_cost=0.0013 | ETA 06:57:46 2020-12-16 04:26:15 [INFO] [TRAIN] epoch=156, iter=57820/80000, loss=0.1609, lr=0.003152, batch_cost=1.3586, reader_cost=0.0008 | ETA 08:22:13 2020-12-16 04:26:27 [INFO] [TRAIN] epoch=156, iter=57830/80000, loss=0.1486, lr=0.003151, batch_cost=1.1513, reader_cost=0.0004 | ETA 07:05:24 2020-12-16 04:26:35 [INFO] [TRAIN] epoch=156, iter=57840/80000, loss=0.1397, lr=0.003150, batch_cost=0.8015, reader_cost=0.0005 | ETA 04:56:02 2020-12-16 04:26:43 [INFO] [TRAIN] epoch=156, iter=57850/80000, loss=0.1542, lr=0.003148, batch_cost=0.8524, reader_cost=0.0007 | ETA 05:14:41 2020-12-16 04:26:53 [INFO] [TRAIN] epoch=156, iter=57860/80000, loss=0.1520, lr=0.003147, batch_cost=1.0052, reader_cost=0.0005 | ETA 06:10:54 2020-12-16 04:27:06 [INFO] [TRAIN] epoch=156, iter=57870/80000, loss=0.1110, lr=0.003146, batch_cost=1.3092, reader_cost=0.0001 | ETA 08:02:53 2020-12-16 04:27:19 [INFO] [TRAIN] epoch=156, iter=57880/80000, loss=0.1503, lr=0.003144, batch_cost=1.2323, reader_cost=0.0001 | ETA 07:34:18 2020-12-16 04:27:30 [INFO] [TRAIN] epoch=156, iter=57890/80000, loss=0.1228, lr=0.003143, batch_cost=1.1799, reader_cost=0.0035 | ETA 07:14:46 2020-12-16 04:27:42 [INFO] [TRAIN] epoch=156, iter=57900/80000, loss=0.1422, lr=0.003142, batch_cost=1.1697, reader_cost=0.0020 | ETA 07:10:49 2020-12-16 04:27:54 [INFO] [TRAIN] epoch=156, iter=57910/80000, loss=0.1295, lr=0.003141, batch_cost=1.1825, reader_cost=0.0011 | ETA 07:15:21 2020-12-16 04:28:06 [INFO] [TRAIN] epoch=156, iter=57920/80000, loss=0.1250, lr=0.003139, batch_cost=1.2103, reader_cost=0.0018 | ETA 07:25:24 2020-12-16 04:28:19 [INFO] [TRAIN] epoch=156, iter=57930/80000, loss=0.1214, lr=0.003138, batch_cost=1.2531, reader_cost=0.0001 | ETA 07:40:55 2020-12-16 04:28:30 [INFO] [TRAIN] epoch=156, iter=57940/80000, loss=0.1234, lr=0.003137, batch_cost=1.1960, reader_cost=0.0005 | ETA 07:19:44 2020-12-16 04:28:42 [INFO] [TRAIN] epoch=156, iter=57950/80000, loss=0.1303, lr=0.003135, batch_cost=1.2009, reader_cost=0.0019 | ETA 07:21:19 2020-12-16 04:28:55 [INFO] [TRAIN] epoch=156, iter=57960/80000, loss=0.1402, lr=0.003134, batch_cost=1.2664, reader_cost=0.0019 | ETA 07:45:12 2020-12-16 04:29:08 [INFO] [TRAIN] epoch=156, iter=57970/80000, loss=0.1336, lr=0.003133, batch_cost=1.2831, reader_cost=0.0006 | ETA 07:51:06 2020-12-16 04:29:20 [INFO] [TRAIN] epoch=156, iter=57980/80000, loss=0.1333, lr=0.003132, batch_cost=1.2307, reader_cost=0.0016 | ETA 07:31:39 2020-12-16 04:29:33 [INFO] [TRAIN] epoch=156, iter=57990/80000, loss=0.1386, lr=0.003130, batch_cost=1.2820, reader_cost=0.0001 | ETA 07:50:17 2020-12-16 04:29:45 [INFO] [TRAIN] epoch=156, iter=58000/80000, loss=0.1284, lr=0.003129, batch_cost=1.2307, reader_cost=0.0001 | ETA 07:31:16 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 04:29:45 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 04:30:36 [INFO] [EVAL] #Images=500 mIoU=0.7911 Acc=0.9616 Kappa=0.9502 2020-12-16 04:30:36 [INFO] [EVAL] Class IoU: [0.9828 0.8571 0.927 0.5713 0.6346 0.6124 0.7097 0.7881 0.924 0.6458 0.9465 0.8124 0.6231 0.9512 0.8411 0.9151 0.8363 0.6755 0.7778] 2020-12-16 04:30:36 [INFO] [EVAL] Class Acc: [0.9932 0.915 0.9594 0.8448 0.8551 0.7728 0.8338 0.8869 0.954 0.8272 0.9659 0.868 0.7928 0.9724 0.9105 0.9688 0.9491 0.8534 0.8662] 2020-12-16 04:30:47 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 58000. 2020-12-16 04:30:59 [INFO] [TRAIN] epoch=156, iter=58010/80000, loss=0.1364, lr=0.003128, batch_cost=1.2136, reader_cost=0.0014 | ETA 07:24:47 2020-12-16 04:31:07 [INFO] [TRAIN] epoch=156, iter=58020/80000, loss=0.1426, lr=0.003127, batch_cost=0.8638, reader_cost=0.0003 | ETA 05:16:26 2020-12-16 04:31:15 [INFO] [TRAIN] epoch=156, iter=58030/80000, loss=0.0997, lr=0.003125, batch_cost=0.8119, reader_cost=0.0001 | ETA 04:57:16 2020-12-16 04:31:25 [INFO] [TRAIN] epoch=157, iter=58040/80000, loss=0.1021, lr=0.003124, batch_cost=0.9377, reader_cost=0.0539 | ETA 05:43:10 2020-12-16 04:31:36 [INFO] [TRAIN] epoch=157, iter=58050/80000, loss=0.1606, lr=0.003123, batch_cost=1.0983, reader_cost=0.0010 | ETA 06:41:46 2020-12-16 04:31:48 [INFO] [TRAIN] epoch=157, iter=58060/80000, loss=0.1637, lr=0.003121, batch_cost=1.1799, reader_cost=0.0002 | ETA 07:11:27 2020-12-16 04:31:59 [INFO] [TRAIN] epoch=157, iter=58070/80000, loss=0.1279, lr=0.003120, batch_cost=1.1646, reader_cost=0.0001 | ETA 07:05:39 2020-12-16 04:32:12 [INFO] [TRAIN] epoch=157, iter=58080/80000, loss=0.1651, lr=0.003119, batch_cost=1.2505, reader_cost=0.0024 | ETA 07:36:51 2020-12-16 04:32:24 [INFO] [TRAIN] epoch=157, iter=58090/80000, loss=0.1118, lr=0.003118, batch_cost=1.2056, reader_cost=0.0002 | ETA 07:20:14 2020-12-16 04:32:36 [INFO] [TRAIN] epoch=157, iter=58100/80000, loss=0.1457, lr=0.003116, batch_cost=1.2146, reader_cost=0.0001 | ETA 07:23:19 2020-12-16 04:32:48 [INFO] [TRAIN] epoch=157, iter=58110/80000, loss=0.1683, lr=0.003115, batch_cost=1.2199, reader_cost=0.0013 | ETA 07:25:04 2020-12-16 04:33:00 [INFO] [TRAIN] epoch=157, iter=58120/80000, loss=0.1415, lr=0.003114, batch_cost=1.1573, reader_cost=0.0004 | ETA 07:02:01 2020-12-16 04:33:12 [INFO] [TRAIN] epoch=157, iter=58130/80000, loss=0.1993, lr=0.003112, batch_cost=1.2058, reader_cost=0.0035 | ETA 07:19:30 2020-12-16 04:33:24 [INFO] [TRAIN] epoch=157, iter=58140/80000, loss=0.1557, lr=0.003111, batch_cost=1.2272, reader_cost=0.0001 | ETA 07:27:07 2020-12-16 04:33:36 [INFO] [TRAIN] epoch=157, iter=58150/80000, loss=0.1597, lr=0.003110, batch_cost=1.2427, reader_cost=0.0001 | ETA 07:32:33 2020-12-16 04:33:48 [INFO] [TRAIN] epoch=157, iter=58160/80000, loss=0.1404, lr=0.003109, batch_cost=1.1748, reader_cost=0.0001 | ETA 07:07:37 2020-12-16 04:34:01 [INFO] [TRAIN] epoch=157, iter=58170/80000, loss=0.1452, lr=0.003107, batch_cost=1.2593, reader_cost=0.0011 | ETA 07:38:11 2020-12-16 04:34:13 [INFO] [TRAIN] epoch=157, iter=58180/80000, loss=0.1613, lr=0.003106, batch_cost=1.1709, reader_cost=0.0001 | ETA 07:05:49 2020-12-16 04:34:24 [INFO] [TRAIN] epoch=157, iter=58190/80000, loss=0.1125, lr=0.003105, batch_cost=1.1471, reader_cost=0.0002 | ETA 06:56:59 2020-12-16 04:34:35 [INFO] [TRAIN] epoch=157, iter=58200/80000, loss=0.1529, lr=0.003103, batch_cost=1.0927, reader_cost=0.0018 | ETA 06:37:00 2020-12-16 04:34:46 [INFO] [TRAIN] epoch=157, iter=58210/80000, loss=0.1153, lr=0.003102, batch_cost=1.0701, reader_cost=0.0001 | ETA 06:28:36 2020-12-16 04:34:56 [INFO] [TRAIN] epoch=157, iter=58220/80000, loss=0.1521, lr=0.003101, batch_cost=1.0601, reader_cost=0.0001 | ETA 06:24:49 2020-12-16 04:35:09 [INFO] [TRAIN] epoch=157, iter=58230/80000, loss=0.1888, lr=0.003100, batch_cost=1.2599, reader_cost=0.0014 | ETA 07:37:08 2020-12-16 04:35:19 [INFO] [TRAIN] epoch=157, iter=58240/80000, loss=0.1512, lr=0.003098, batch_cost=1.0627, reader_cost=0.0001 | ETA 06:25:24 2020-12-16 04:35:31 [INFO] [TRAIN] epoch=157, iter=58250/80000, loss=0.1822, lr=0.003097, batch_cost=1.1834, reader_cost=0.0001 | ETA 07:08:59 2020-12-16 04:35:40 [INFO] [TRAIN] epoch=157, iter=58260/80000, loss=0.1624, lr=0.003096, batch_cost=0.8991, reader_cost=0.0003 | ETA 05:25:46 2020-12-16 04:35:48 [INFO] [TRAIN] epoch=157, iter=58270/80000, loss=0.1569, lr=0.003095, batch_cost=0.8226, reader_cost=0.0001 | ETA 04:57:54 2020-12-16 04:35:57 [INFO] [TRAIN] epoch=157, iter=58280/80000, loss=0.1688, lr=0.003093, batch_cost=0.8067, reader_cost=0.0001 | ETA 04:52:00 2020-12-16 04:36:07 [INFO] [TRAIN] epoch=157, iter=58290/80000, loss=0.1533, lr=0.003092, batch_cost=1.0685, reader_cost=0.0001 | ETA 06:26:36 2020-12-16 04:36:19 [INFO] [TRAIN] epoch=157, iter=58300/80000, loss=0.1476, lr=0.003091, batch_cost=1.1850, reader_cost=0.0001 | ETA 07:08:34 2020-12-16 04:36:30 [INFO] [TRAIN] epoch=157, iter=58310/80000, loss=0.1506, lr=0.003089, batch_cost=1.1275, reader_cost=0.0001 | ETA 06:47:34 2020-12-16 04:36:41 [INFO] [TRAIN] epoch=157, iter=58320/80000, loss=0.1287, lr=0.003088, batch_cost=1.0870, reader_cost=0.0007 | ETA 06:32:45 2020-12-16 04:36:53 [INFO] [TRAIN] epoch=157, iter=58330/80000, loss=0.1362, lr=0.003087, batch_cost=1.2156, reader_cost=0.0023 | ETA 07:19:01 2020-12-16 04:37:04 [INFO] [TRAIN] epoch=157, iter=58340/80000, loss=0.1536, lr=0.003086, batch_cost=1.0996, reader_cost=0.0028 | ETA 06:36:56 2020-12-16 04:37:15 [INFO] [TRAIN] epoch=157, iter=58350/80000, loss=0.1357, lr=0.003084, batch_cost=1.1079, reader_cost=0.0016 | ETA 06:39:45 2020-12-16 04:37:27 [INFO] [TRAIN] epoch=157, iter=58360/80000, loss=0.1028, lr=0.003083, batch_cost=1.1289, reader_cost=0.0018 | ETA 06:47:10 2020-12-16 04:37:39 [INFO] [TRAIN] epoch=157, iter=58370/80000, loss=0.1579, lr=0.003082, batch_cost=1.1901, reader_cost=0.0006 | ETA 07:09:02 2020-12-16 04:37:51 [INFO] [TRAIN] epoch=157, iter=58380/80000, loss=0.1809, lr=0.003080, batch_cost=1.2453, reader_cost=0.0006 | ETA 07:28:42 2020-12-16 04:38:05 [INFO] [TRAIN] epoch=157, iter=58390/80000, loss=0.1531, lr=0.003079, batch_cost=1.4330, reader_cost=0.0025 | ETA 08:36:07 2020-12-16 04:38:17 [INFO] [TRAIN] epoch=157, iter=58400/80000, loss=0.1818, lr=0.003078, batch_cost=1.1797, reader_cost=0.0008 | ETA 07:04:42 2020-12-16 04:38:30 [INFO] [TRAIN] epoch=158, iter=58410/80000, loss=0.1519, lr=0.003077, batch_cost=1.2630, reader_cost=0.0576 | ETA 07:34:28 2020-12-16 04:38:42 [INFO] [TRAIN] epoch=158, iter=58420/80000, loss=0.1876, lr=0.003075, batch_cost=1.2390, reader_cost=0.0001 | ETA 07:25:37 2020-12-16 04:38:55 [INFO] [TRAIN] epoch=158, iter=58430/80000, loss=0.1290, lr=0.003074, batch_cost=1.2671, reader_cost=0.0001 | ETA 07:35:31 2020-12-16 04:39:07 [INFO] [TRAIN] epoch=158, iter=58440/80000, loss=0.1138, lr=0.003073, batch_cost=1.2097, reader_cost=0.0001 | ETA 07:14:40 2020-12-16 04:39:20 [INFO] [TRAIN] epoch=158, iter=58450/80000, loss=0.1563, lr=0.003071, batch_cost=1.2911, reader_cost=0.0001 | ETA 07:43:44 2020-12-16 04:39:32 [INFO] [TRAIN] epoch=158, iter=58460/80000, loss=0.1659, lr=0.003070, batch_cost=1.2282, reader_cost=0.0001 | ETA 07:20:54 2020-12-16 04:39:45 [INFO] [TRAIN] epoch=158, iter=58470/80000, loss=0.1422, lr=0.003069, batch_cost=1.2500, reader_cost=0.0014 | ETA 07:28:31 2020-12-16 04:39:57 [INFO] [TRAIN] epoch=158, iter=58480/80000, loss=0.1505, lr=0.003068, batch_cost=1.2093, reader_cost=0.0004 | ETA 07:13:44 2020-12-16 04:40:09 [INFO] [TRAIN] epoch=158, iter=58490/80000, loss=0.1264, lr=0.003066, batch_cost=1.1899, reader_cost=0.0001 | ETA 07:06:33 2020-12-16 04:40:18 [INFO] [TRAIN] epoch=158, iter=58500/80000, loss=0.0955, lr=0.003065, batch_cost=0.8878, reader_cost=0.0001 | ETA 05:18:07 2020-12-16 04:40:26 [INFO] [TRAIN] epoch=158, iter=58510/80000, loss=0.1489, lr=0.003064, batch_cost=0.8168, reader_cost=0.0001 | ETA 04:52:32 2020-12-16 04:40:35 [INFO] [TRAIN] epoch=158, iter=58520/80000, loss=0.1158, lr=0.003062, batch_cost=0.8755, reader_cost=0.0001 | ETA 05:13:25 2020-12-16 04:40:47 [INFO] [TRAIN] epoch=158, iter=58530/80000, loss=0.1385, lr=0.003061, batch_cost=1.2037, reader_cost=0.0001 | ETA 07:10:42 2020-12-16 04:40:56 [INFO] [TRAIN] epoch=158, iter=58540/80000, loss=0.1190, lr=0.003060, batch_cost=0.8991, reader_cost=0.0005 | ETA 05:21:34 2020-12-16 04:41:04 [INFO] [TRAIN] epoch=158, iter=58550/80000, loss=0.1524, lr=0.003059, batch_cost=0.8364, reader_cost=0.0001 | ETA 04:59:00 2020-12-16 04:41:12 [INFO] [TRAIN] epoch=158, iter=58560/80000, loss=0.1633, lr=0.003057, batch_cost=0.8204, reader_cost=0.0001 | ETA 04:53:09 2020-12-16 04:41:20 [INFO] [TRAIN] epoch=158, iter=58570/80000, loss=0.1694, lr=0.003056, batch_cost=0.8219, reader_cost=0.0001 | ETA 04:53:34 2020-12-16 04:41:30 [INFO] [TRAIN] epoch=158, iter=58580/80000, loss=0.1128, lr=0.003055, batch_cost=0.9247, reader_cost=0.0005 | ETA 05:30:07 2020-12-16 04:41:41 [INFO] [TRAIN] epoch=158, iter=58590/80000, loss=0.1190, lr=0.003053, batch_cost=1.1868, reader_cost=0.0002 | ETA 07:03:30 2020-12-16 04:41:52 [INFO] [TRAIN] epoch=158, iter=58600/80000, loss=0.1271, lr=0.003052, batch_cost=1.0770, reader_cost=0.0001 | ETA 06:24:07 2020-12-16 04:42:04 [INFO] [TRAIN] epoch=158, iter=58610/80000, loss=0.1403, lr=0.003051, batch_cost=1.2173, reader_cost=0.0012 | ETA 07:13:57 2020-12-16 04:42:17 [INFO] [TRAIN] epoch=158, iter=58620/80000, loss=0.1191, lr=0.003050, batch_cost=1.2173, reader_cost=0.0001 | ETA 07:13:45 2020-12-16 04:42:29 [INFO] [TRAIN] epoch=158, iter=58630/80000, loss=0.1436, lr=0.003048, batch_cost=1.2363, reader_cost=0.0003 | ETA 07:20:19 2020-12-16 04:42:42 [INFO] [TRAIN] epoch=158, iter=58640/80000, loss=0.1524, lr=0.003047, batch_cost=1.3024, reader_cost=0.0001 | ETA 07:43:40 2020-12-16 04:42:54 [INFO] [TRAIN] epoch=158, iter=58650/80000, loss=0.1426, lr=0.003046, batch_cost=1.1873, reader_cost=0.0020 | ETA 07:02:29 2020-12-16 04:43:05 [INFO] [TRAIN] epoch=158, iter=58660/80000, loss=0.1291, lr=0.003044, batch_cost=1.1553, reader_cost=0.0006 | ETA 06:50:53 2020-12-16 04:43:18 [INFO] [TRAIN] epoch=158, iter=58670/80000, loss=0.1459, lr=0.003043, batch_cost=1.2207, reader_cost=0.0008 | ETA 07:13:57 2020-12-16 04:43:30 [INFO] [TRAIN] epoch=158, iter=58680/80000, loss=0.2050, lr=0.003042, batch_cost=1.2522, reader_cost=0.0003 | ETA 07:24:56 2020-12-16 04:43:43 [INFO] [TRAIN] epoch=158, iter=58690/80000, loss=0.1622, lr=0.003041, batch_cost=1.2544, reader_cost=0.0008 | ETA 07:25:31 2020-12-16 04:43:55 [INFO] [TRAIN] epoch=158, iter=58700/80000, loss=0.2038, lr=0.003039, batch_cost=1.2599, reader_cost=0.0024 | ETA 07:27:15 2020-12-16 04:44:06 [INFO] [TRAIN] epoch=158, iter=58710/80000, loss=0.1657, lr=0.003038, batch_cost=1.1007, reader_cost=0.0003 | ETA 06:30:34 2020-12-16 04:44:18 [INFO] [TRAIN] epoch=158, iter=58720/80000, loss=0.1253, lr=0.003037, batch_cost=1.1377, reader_cost=0.0001 | ETA 06:43:30 2020-12-16 04:44:29 [INFO] [TRAIN] epoch=158, iter=58730/80000, loss=0.1431, lr=0.003035, batch_cost=1.1738, reader_cost=0.0001 | ETA 06:56:05 2020-12-16 04:44:41 [INFO] [TRAIN] epoch=158, iter=58740/80000, loss=0.0927, lr=0.003034, batch_cost=1.1520, reader_cost=0.0004 | ETA 06:48:11 2020-12-16 04:44:52 [INFO] [TRAIN] epoch=158, iter=58750/80000, loss=0.1195, lr=0.003033, batch_cost=1.1269, reader_cost=0.0011 | ETA 06:39:07 2020-12-16 04:45:04 [INFO] [TRAIN] epoch=158, iter=58760/80000, loss=0.1764, lr=0.003032, batch_cost=1.1689, reader_cost=0.0001 | ETA 06:53:47 2020-12-16 04:45:16 [INFO] [TRAIN] epoch=158, iter=58770/80000, loss=0.1259, lr=0.003030, batch_cost=1.1762, reader_cost=0.0020 | ETA 06:56:10 2020-12-16 04:45:26 [INFO] [TRAIN] epoch=159, iter=58780/80000, loss=0.1271, lr=0.003029, batch_cost=1.0489, reader_cost=0.0734 | ETA 06:10:58 2020-12-16 04:45:35 [INFO] [TRAIN] epoch=159, iter=58790/80000, loss=0.1279, lr=0.003028, batch_cost=0.8877, reader_cost=0.0012 | ETA 05:13:47 2020-12-16 04:45:43 [INFO] [TRAIN] epoch=159, iter=58800/80000, loss=0.1727, lr=0.003026, batch_cost=0.8235, reader_cost=0.0001 | ETA 04:50:57 2020-12-16 04:45:53 [INFO] [TRAIN] epoch=159, iter=58810/80000, loss=0.1748, lr=0.003025, batch_cost=0.9649, reader_cost=0.0001 | ETA 05:40:46 2020-12-16 04:46:05 [INFO] [TRAIN] epoch=159, iter=58820/80000, loss=0.1504, lr=0.003024, batch_cost=1.1830, reader_cost=0.0005 | ETA 06:57:36 2020-12-16 04:46:17 [INFO] [TRAIN] epoch=159, iter=58830/80000, loss=0.1469, lr=0.003023, batch_cost=1.2049, reader_cost=0.0031 | ETA 07:05:07 2020-12-16 04:46:29 [INFO] [TRAIN] epoch=159, iter=58840/80000, loss=0.1677, lr=0.003021, batch_cost=1.2030, reader_cost=0.0001 | ETA 07:04:15 2020-12-16 04:46:41 [INFO] [TRAIN] epoch=159, iter=58850/80000, loss=0.1351, lr=0.003020, batch_cost=1.2108, reader_cost=0.0033 | ETA 07:06:48 2020-12-16 04:46:53 [INFO] [TRAIN] epoch=159, iter=58860/80000, loss=0.1232, lr=0.003019, batch_cost=1.1851, reader_cost=0.0001 | ETA 06:57:33 2020-12-16 04:47:05 [INFO] [TRAIN] epoch=159, iter=58870/80000, loss=0.1448, lr=0.003017, batch_cost=1.1793, reader_cost=0.0001 | ETA 06:55:18 2020-12-16 04:47:16 [INFO] [TRAIN] epoch=159, iter=58880/80000, loss=0.1879, lr=0.003016, batch_cost=1.1934, reader_cost=0.0001 | ETA 07:00:04 2020-12-16 04:47:27 [INFO] [TRAIN] epoch=159, iter=58890/80000, loss=0.1149, lr=0.003015, batch_cost=1.0817, reader_cost=0.0001 | ETA 06:20:34 2020-12-16 04:47:39 [INFO] [TRAIN] epoch=159, iter=58900/80000, loss=0.1309, lr=0.003014, batch_cost=1.1585, reader_cost=0.0001 | ETA 06:47:25 2020-12-16 04:47:51 [INFO] [TRAIN] epoch=159, iter=58910/80000, loss=0.1433, lr=0.003012, batch_cost=1.1755, reader_cost=0.0001 | ETA 06:53:10 2020-12-16 04:48:01 [INFO] [TRAIN] epoch=159, iter=58920/80000, loss=0.1635, lr=0.003011, batch_cost=1.0799, reader_cost=0.0017 | ETA 06:19:23 2020-12-16 04:48:12 [INFO] [TRAIN] epoch=159, iter=58930/80000, loss=0.1834, lr=0.003010, batch_cost=1.0201, reader_cost=0.0001 | ETA 05:58:13 2020-12-16 04:48:23 [INFO] [TRAIN] epoch=159, iter=58940/80000, loss=0.1334, lr=0.003009, batch_cost=1.1303, reader_cost=0.0001 | ETA 06:36:44 2020-12-16 04:48:34 [INFO] [TRAIN] epoch=159, iter=58950/80000, loss=0.1608, lr=0.003007, batch_cost=1.1257, reader_cost=0.0005 | ETA 06:34:55 2020-12-16 04:48:46 [INFO] [TRAIN] epoch=159, iter=58960/80000, loss=0.1268, lr=0.003006, batch_cost=1.2149, reader_cost=0.0001 | ETA 07:06:02 2020-12-16 04:48:58 [INFO] [TRAIN] epoch=159, iter=58970/80000, loss=0.1208, lr=0.003005, batch_cost=1.1803, reader_cost=0.0001 | ETA 06:53:41 2020-12-16 04:49:10 [INFO] [TRAIN] epoch=159, iter=58980/80000, loss=0.1236, lr=0.003003, batch_cost=1.1927, reader_cost=0.0024 | ETA 06:57:49 2020-12-16 04:49:22 [INFO] [TRAIN] epoch=159, iter=58990/80000, loss=0.1782, lr=0.003002, batch_cost=1.2209, reader_cost=0.0001 | ETA 07:07:31 2020-12-16 04:49:35 [INFO] [TRAIN] epoch=159, iter=59000/80000, loss=0.1112, lr=0.003001, batch_cost=1.2445, reader_cost=0.0001 | ETA 07:15:33 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 04:49:35 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 04:50:25 [INFO] [EVAL] #Images=500 mIoU=0.7937 Acc=0.9613 Kappa=0.9498 2020-12-16 04:50:25 [INFO] [EVAL] Class IoU: [0.9812 0.8469 0.9273 0.5815 0.6381 0.6132 0.7112 0.7878 0.9244 0.6378 0.9474 0.814 0.6407 0.9524 0.8484 0.9177 0.8602 0.6716 0.7776] 2020-12-16 04:50:25 [INFO] [EVAL] Class Acc: [0.9922 0.9109 0.9594 0.8339 0.8444 0.7924 0.8285 0.8958 0.9495 0.8827 0.9705 0.8781 0.7841 0.9738 0.9193 0.9643 0.9625 0.8569 0.8686] 2020-12-16 04:50:34 [INFO] [EVAL] The model with the best validation mIoU (0.7937) was saved at iter 59000. 2020-12-16 04:50:46 [INFO] [TRAIN] epoch=159, iter=59010/80000, loss=0.1333, lr=0.002999, batch_cost=1.1527, reader_cost=0.0014 | ETA 06:43:15 2020-12-16 04:50:56 [INFO] [TRAIN] epoch=159, iter=59020/80000, loss=0.2560, lr=0.002998, batch_cost=1.0374, reader_cost=0.0001 | ETA 06:02:45 2020-12-16 04:51:09 [INFO] [TRAIN] epoch=159, iter=59030/80000, loss=0.1619, lr=0.002997, batch_cost=1.2233, reader_cost=0.0003 | ETA 07:07:32 2020-12-16 04:51:21 [INFO] [TRAIN] epoch=159, iter=59040/80000, loss=0.1175, lr=0.002996, batch_cost=1.2568, reader_cost=0.0005 | ETA 07:19:02 2020-12-16 04:51:33 [INFO] [TRAIN] epoch=159, iter=59050/80000, loss=0.1587, lr=0.002994, batch_cost=1.2360, reader_cost=0.0029 | ETA 07:11:33 2020-12-16 04:51:46 [INFO] [TRAIN] epoch=159, iter=59060/80000, loss=0.1231, lr=0.002993, batch_cost=1.2288, reader_cost=0.0030 | ETA 07:08:51 2020-12-16 04:51:58 [INFO] [TRAIN] epoch=159, iter=59070/80000, loss=0.1310, lr=0.002992, batch_cost=1.1860, reader_cost=0.0001 | ETA 06:53:42 2020-12-16 04:52:10 [INFO] [TRAIN] epoch=159, iter=59080/80000, loss=0.1802, lr=0.002990, batch_cost=1.1994, reader_cost=0.0008 | ETA 06:58:12 2020-12-16 04:52:22 [INFO] [TRAIN] epoch=159, iter=59090/80000, loss=0.1878, lr=0.002989, batch_cost=1.2467, reader_cost=0.0003 | ETA 07:14:28 2020-12-16 04:52:35 [INFO] [TRAIN] epoch=159, iter=59100/80000, loss=0.1417, lr=0.002988, batch_cost=1.2618, reader_cost=0.0025 | ETA 07:19:31 2020-12-16 04:52:47 [INFO] [TRAIN] epoch=159, iter=59110/80000, loss=0.1386, lr=0.002987, batch_cost=1.2470, reader_cost=0.0006 | ETA 07:14:08 2020-12-16 04:53:01 [INFO] [TRAIN] epoch=159, iter=59120/80000, loss=0.1338, lr=0.002985, batch_cost=1.3654, reader_cost=0.0030 | ETA 07:55:10 2020-12-16 04:53:14 [INFO] [TRAIN] epoch=159, iter=59130/80000, loss=0.1575, lr=0.002984, batch_cost=1.2939, reader_cost=0.0013 | ETA 07:30:02 2020-12-16 04:53:26 [INFO] [TRAIN] epoch=159, iter=59140/80000, loss=0.0944, lr=0.002983, batch_cost=1.2083, reader_cost=0.0021 | ETA 07:00:05 2020-12-16 04:53:37 [INFO] [TRAIN] epoch=160, iter=59150/80000, loss=0.1678, lr=0.002981, batch_cost=1.1150, reader_cost=0.0669 | ETA 06:27:27 2020-12-16 04:53:50 [INFO] [TRAIN] epoch=160, iter=59160/80000, loss=0.1278, lr=0.002980, batch_cost=1.2799, reader_cost=0.0006 | ETA 07:24:33 2020-12-16 04:54:02 [INFO] [TRAIN] epoch=160, iter=59170/80000, loss=0.1850, lr=0.002979, batch_cost=1.1924, reader_cost=0.0055 | ETA 06:53:58 2020-12-16 04:54:14 [INFO] [TRAIN] epoch=160, iter=59180/80000, loss=0.1472, lr=0.002978, batch_cost=1.2042, reader_cost=0.0001 | ETA 06:57:51 2020-12-16 04:54:26 [INFO] [TRAIN] epoch=160, iter=59190/80000, loss=0.1670, lr=0.002976, batch_cost=1.1987, reader_cost=0.0013 | ETA 06:55:44 2020-12-16 04:54:38 [INFO] [TRAIN] epoch=160, iter=59200/80000, loss=0.1319, lr=0.002975, batch_cost=1.2228, reader_cost=0.0001 | ETA 07:03:53 2020-12-16 04:54:46 [INFO] [TRAIN] epoch=160, iter=59210/80000, loss=0.1389, lr=0.002974, batch_cost=0.8299, reader_cost=0.0001 | ETA 04:47:33 2020-12-16 04:54:54 [INFO] [TRAIN] epoch=160, iter=59220/80000, loss=0.1372, lr=0.002972, batch_cost=0.8141, reader_cost=0.0001 | ETA 04:41:56 2020-12-16 04:55:03 [INFO] [TRAIN] epoch=160, iter=59230/80000, loss=0.1112, lr=0.002971, batch_cost=0.8861, reader_cost=0.0001 | ETA 05:06:45 2020-12-16 04:55:15 [INFO] [TRAIN] epoch=160, iter=59240/80000, loss=0.2095, lr=0.002970, batch_cost=1.1642, reader_cost=0.0016 | ETA 06:42:48 2020-12-16 04:55:27 [INFO] [TRAIN] epoch=160, iter=59250/80000, loss=0.1280, lr=0.002969, batch_cost=1.2098, reader_cost=0.0010 | ETA 06:58:22 2020-12-16 04:55:39 [INFO] [TRAIN] epoch=160, iter=59260/80000, loss=0.1430, lr=0.002967, batch_cost=1.1787, reader_cost=0.0005 | ETA 06:47:26 2020-12-16 04:55:51 [INFO] [TRAIN] epoch=160, iter=59270/80000, loss=0.1230, lr=0.002966, batch_cost=1.1750, reader_cost=0.0001 | ETA 06:45:58 2020-12-16 04:56:02 [INFO] [TRAIN] epoch=160, iter=59280/80000, loss=0.1459, lr=0.002965, batch_cost=1.1636, reader_cost=0.0001 | ETA 06:41:49 2020-12-16 04:56:15 [INFO] [TRAIN] epoch=160, iter=59290/80000, loss=0.1078, lr=0.002963, batch_cost=1.2875, reader_cost=0.0009 | ETA 07:24:24 2020-12-16 04:56:26 [INFO] [TRAIN] epoch=160, iter=59300/80000, loss=0.1463, lr=0.002962, batch_cost=1.1347, reader_cost=0.0013 | ETA 06:31:27 2020-12-16 04:56:39 [INFO] [TRAIN] epoch=160, iter=59310/80000, loss=0.1708, lr=0.002961, batch_cost=1.2953, reader_cost=0.0026 | ETA 07:26:40 2020-12-16 04:56:52 [INFO] [TRAIN] epoch=160, iter=59320/80000, loss=0.1877, lr=0.002960, batch_cost=1.2434, reader_cost=0.0023 | ETA 07:08:33 2020-12-16 04:57:04 [INFO] [TRAIN] epoch=160, iter=59330/80000, loss=0.1370, lr=0.002958, batch_cost=1.2163, reader_cost=0.0001 | ETA 06:58:59 2020-12-16 04:57:16 [INFO] [TRAIN] epoch=160, iter=59340/80000, loss=0.1505, lr=0.002957, batch_cost=1.2360, reader_cost=0.0008 | ETA 07:05:36 2020-12-16 04:57:30 [INFO] [TRAIN] epoch=160, iter=59350/80000, loss=0.1469, lr=0.002956, batch_cost=1.3359, reader_cost=0.0001 | ETA 07:39:46 2020-12-16 04:57:43 [INFO] [TRAIN] epoch=160, iter=59360/80000, loss=0.1280, lr=0.002954, batch_cost=1.2992, reader_cost=0.0068 | ETA 07:26:56 2020-12-16 04:57:54 [INFO] [TRAIN] epoch=160, iter=59370/80000, loss=0.1680, lr=0.002953, batch_cost=1.1347, reader_cost=0.0028 | ETA 06:30:09 2020-12-16 04:58:07 [INFO] [TRAIN] epoch=160, iter=59380/80000, loss=0.1064, lr=0.002952, batch_cost=1.2791, reader_cost=0.0001 | ETA 07:19:34 2020-12-16 04:58:20 [INFO] [TRAIN] epoch=160, iter=59390/80000, loss=0.1649, lr=0.002951, batch_cost=1.3167, reader_cost=0.0001 | ETA 07:32:16 2020-12-16 04:58:32 [INFO] [TRAIN] epoch=160, iter=59400/80000, loss=0.1738, lr=0.002949, batch_cost=1.1558, reader_cost=0.0019 | ETA 06:36:48 2020-12-16 04:58:45 [INFO] [TRAIN] epoch=160, iter=59410/80000, loss=0.1133, lr=0.002948, batch_cost=1.3391, reader_cost=0.0001 | ETA 07:39:31 2020-12-16 04:58:58 [INFO] [TRAIN] epoch=160, iter=59420/80000, loss=0.1825, lr=0.002947, batch_cost=1.2935, reader_cost=0.0005 | ETA 07:23:40 2020-12-16 04:59:09 [INFO] [TRAIN] epoch=160, iter=59430/80000, loss=0.1741, lr=0.002945, batch_cost=1.1388, reader_cost=0.0001 | ETA 06:30:25 2020-12-16 04:59:18 [INFO] [TRAIN] epoch=160, iter=59440/80000, loss=0.1235, lr=0.002944, batch_cost=0.9064, reader_cost=0.0001 | ETA 05:10:35 2020-12-16 04:59:27 [INFO] [TRAIN] epoch=160, iter=59450/80000, loss=0.1572, lr=0.002943, batch_cost=0.8387, reader_cost=0.0001 | ETA 04:47:15 2020-12-16 04:59:35 [INFO] [TRAIN] epoch=160, iter=59460/80000, loss=0.1557, lr=0.002942, batch_cost=0.8136, reader_cost=0.0001 | ETA 04:38:31 2020-12-16 04:59:45 [INFO] [TRAIN] epoch=160, iter=59470/80000, loss=0.2036, lr=0.002940, batch_cost=1.0260, reader_cost=0.0001 | ETA 05:51:04 2020-12-16 04:59:58 [INFO] [TRAIN] epoch=160, iter=59480/80000, loss=0.1496, lr=0.002939, batch_cost=1.2670, reader_cost=0.0004 | ETA 07:13:18 2020-12-16 05:00:10 [INFO] [TRAIN] epoch=160, iter=59490/80000, loss=0.1439, lr=0.002938, batch_cost=1.1881, reader_cost=0.0001 | ETA 06:46:08 2020-12-16 05:00:22 [INFO] [TRAIN] epoch=160, iter=59500/80000, loss=0.1246, lr=0.002936, batch_cost=1.1939, reader_cost=0.0010 | ETA 06:47:55 2020-12-16 05:00:34 [INFO] [TRAIN] epoch=160, iter=59510/80000, loss=0.1354, lr=0.002935, batch_cost=1.2547, reader_cost=0.0001 | ETA 07:08:28 2020-12-16 05:00:45 [INFO] [TRAIN] epoch=160, iter=59520/80000, loss=0.1250, lr=0.002934, batch_cost=1.0372, reader_cost=0.0012 | ETA 05:54:01 2020-12-16 05:00:58 [INFO] [TRAIN] epoch=161, iter=59530/80000, loss=0.1233, lr=0.002933, batch_cost=1.3591, reader_cost=0.0624 | ETA 07:43:40 2020-12-16 05:01:10 [INFO] [TRAIN] epoch=161, iter=59540/80000, loss=0.1615, lr=0.002931, batch_cost=1.2143, reader_cost=0.0001 | ETA 06:54:03 2020-12-16 05:01:23 [INFO] [TRAIN] epoch=161, iter=59550/80000, loss=0.1341, lr=0.002930, batch_cost=1.2997, reader_cost=0.0002 | ETA 07:22:57 2020-12-16 05:01:34 [INFO] [TRAIN] epoch=161, iter=59560/80000, loss=0.1412, lr=0.002929, batch_cost=1.1066, reader_cost=0.0002 | ETA 06:16:59 2020-12-16 05:01:45 [INFO] [TRAIN] epoch=161, iter=59570/80000, loss=0.1214, lr=0.002927, batch_cost=1.0908, reader_cost=0.0022 | ETA 06:11:24 2020-12-16 05:01:57 [INFO] [TRAIN] epoch=161, iter=59580/80000, loss=0.1410, lr=0.002926, batch_cost=1.1442, reader_cost=0.0006 | ETA 06:29:24 2020-12-16 05:02:08 [INFO] [TRAIN] epoch=161, iter=59590/80000, loss=0.1505, lr=0.002925, batch_cost=1.1530, reader_cost=0.0001 | ETA 06:32:13 2020-12-16 05:02:21 [INFO] [TRAIN] epoch=161, iter=59600/80000, loss=0.1430, lr=0.002924, batch_cost=1.2744, reader_cost=0.0004 | ETA 07:13:18 2020-12-16 05:02:34 [INFO] [TRAIN] epoch=161, iter=59610/80000, loss=0.1583, lr=0.002922, batch_cost=1.2681, reader_cost=0.0007 | ETA 07:10:57 2020-12-16 05:02:45 [INFO] [TRAIN] epoch=161, iter=59620/80000, loss=0.1482, lr=0.002921, batch_cost=1.1768, reader_cost=0.0001 | ETA 06:39:43 2020-12-16 05:02:59 [INFO] [TRAIN] epoch=161, iter=59630/80000, loss=0.1435, lr=0.002920, batch_cost=1.3522, reader_cost=0.0035 | ETA 07:39:04 2020-12-16 05:03:12 [INFO] [TRAIN] epoch=161, iter=59640/80000, loss=0.1538, lr=0.002918, batch_cost=1.3109, reader_cost=0.0001 | ETA 07:24:50 2020-12-16 05:03:25 [INFO] [TRAIN] epoch=161, iter=59650/80000, loss=0.1370, lr=0.002917, batch_cost=1.2774, reader_cost=0.0036 | ETA 07:13:15 2020-12-16 05:03:37 [INFO] [TRAIN] epoch=161, iter=59660/80000, loss=0.1660, lr=0.002916, batch_cost=1.2292, reader_cost=0.0005 | ETA 06:56:41 2020-12-16 05:03:48 [INFO] [TRAIN] epoch=161, iter=59670/80000, loss=0.1514, lr=0.002914, batch_cost=1.1349, reader_cost=0.0031 | ETA 06:24:31 2020-12-16 05:03:57 [INFO] [TRAIN] epoch=161, iter=59680/80000, loss=0.1721, lr=0.002913, batch_cost=0.8658, reader_cost=0.0001 | ETA 04:53:13 2020-12-16 05:04:05 [INFO] [TRAIN] epoch=161, iter=59690/80000, loss=0.1467, lr=0.002912, batch_cost=0.8225, reader_cost=0.0001 | ETA 04:38:25 2020-12-16 05:04:15 [INFO] [TRAIN] epoch=161, iter=59700/80000, loss=0.1108, lr=0.002911, batch_cost=0.9595, reader_cost=0.0015 | ETA 05:24:37 2020-12-16 05:04:28 [INFO] [TRAIN] epoch=161, iter=59710/80000, loss=0.1490, lr=0.002909, batch_cost=1.2718, reader_cost=0.0026 | ETA 07:10:05 2020-12-16 05:04:40 [INFO] [TRAIN] epoch=161, iter=59720/80000, loss=0.1483, lr=0.002908, batch_cost=1.2183, reader_cost=0.0015 | ETA 06:51:47 2020-12-16 05:04:53 [INFO] [TRAIN] epoch=161, iter=59730/80000, loss=0.0866, lr=0.002907, batch_cost=1.2625, reader_cost=0.0001 | ETA 07:06:30 2020-12-16 05:05:05 [INFO] [TRAIN] epoch=161, iter=59740/80000, loss=0.1822, lr=0.002905, batch_cost=1.2100, reader_cost=0.0017 | ETA 06:48:35 2020-12-16 05:05:17 [INFO] [TRAIN] epoch=161, iter=59750/80000, loss=0.2127, lr=0.002904, batch_cost=1.2155, reader_cost=0.0001 | ETA 06:50:13 2020-12-16 05:05:29 [INFO] [TRAIN] epoch=161, iter=59760/80000, loss=0.1481, lr=0.002903, batch_cost=1.1898, reader_cost=0.0027 | ETA 06:41:21 2020-12-16 05:05:42 [INFO] [TRAIN] epoch=161, iter=59770/80000, loss=0.1392, lr=0.002902, batch_cost=1.3647, reader_cost=0.0001 | ETA 07:40:06 2020-12-16 05:05:54 [INFO] [TRAIN] epoch=161, iter=59780/80000, loss=0.2180, lr=0.002900, batch_cost=1.2008, reader_cost=0.0001 | ETA 06:44:39 2020-12-16 05:06:05 [INFO] [TRAIN] epoch=161, iter=59790/80000, loss=0.1295, lr=0.002899, batch_cost=1.0967, reader_cost=0.0001 | ETA 06:09:23 2020-12-16 05:06:13 [INFO] [TRAIN] epoch=161, iter=59800/80000, loss=0.1800, lr=0.002898, batch_cost=0.8017, reader_cost=0.0001 | ETA 04:29:54 2020-12-16 05:06:21 [INFO] [TRAIN] epoch=161, iter=59810/80000, loss=0.1546, lr=0.002896, batch_cost=0.8168, reader_cost=0.0001 | ETA 04:34:52 2020-12-16 05:06:30 [INFO] [TRAIN] epoch=161, iter=59820/80000, loss=0.1437, lr=0.002895, batch_cost=0.8080, reader_cost=0.0001 | ETA 04:31:44 2020-12-16 05:06:37 [INFO] [TRAIN] epoch=161, iter=59830/80000, loss=0.1567, lr=0.002894, batch_cost=0.7925, reader_cost=0.0001 | ETA 04:26:24 2020-12-16 05:06:48 [INFO] [TRAIN] epoch=161, iter=59840/80000, loss=0.1135, lr=0.002893, batch_cost=1.0250, reader_cost=0.0033 | ETA 05:44:23 2020-12-16 05:07:00 [INFO] [TRAIN] epoch=161, iter=59850/80000, loss=0.0991, lr=0.002891, batch_cost=1.2205, reader_cost=0.0009 | ETA 06:49:53 2020-12-16 05:07:11 [INFO] [TRAIN] epoch=161, iter=59860/80000, loss=0.1467, lr=0.002890, batch_cost=1.0848, reader_cost=0.0031 | ETA 06:04:07 2020-12-16 05:07:24 [INFO] [TRAIN] epoch=161, iter=59870/80000, loss=0.1217, lr=0.002889, batch_cost=1.3524, reader_cost=0.0045 | ETA 07:33:43 2020-12-16 05:07:37 [INFO] [TRAIN] epoch=161, iter=59880/80000, loss=0.1271, lr=0.002887, batch_cost=1.2868, reader_cost=0.0021 | ETA 07:11:31 2020-12-16 05:07:49 [INFO] [TRAIN] epoch=161, iter=59890/80000, loss=0.1772, lr=0.002886, batch_cost=1.1341, reader_cost=0.0015 | ETA 06:20:07 2020-12-16 05:08:02 [INFO] [TRAIN] epoch=162, iter=59900/80000, loss=0.1125, lr=0.002885, batch_cost=1.3505, reader_cost=0.0497 | ETA 07:32:24 2020-12-16 05:08:14 [INFO] [TRAIN] epoch=162, iter=59910/80000, loss=0.1040, lr=0.002884, batch_cost=1.1789, reader_cost=0.0007 | ETA 06:34:44 2020-12-16 05:08:27 [INFO] [TRAIN] epoch=162, iter=59920/80000, loss=0.1255, lr=0.002882, batch_cost=1.2806, reader_cost=0.0008 | ETA 07:08:35 2020-12-16 05:08:38 [INFO] [TRAIN] epoch=162, iter=59930/80000, loss=0.1161, lr=0.002881, batch_cost=1.1717, reader_cost=0.0040 | ETA 06:31:55 2020-12-16 05:08:50 [INFO] [TRAIN] epoch=162, iter=59940/80000, loss=0.1276, lr=0.002880, batch_cost=1.2044, reader_cost=0.0009 | ETA 06:42:39 2020-12-16 05:09:00 [INFO] [TRAIN] epoch=162, iter=59950/80000, loss=0.1331, lr=0.002878, batch_cost=0.9218, reader_cost=0.0005 | ETA 05:08:02 2020-12-16 05:09:08 [INFO] [TRAIN] epoch=162, iter=59960/80000, loss=0.1797, lr=0.002877, batch_cost=0.8356, reader_cost=0.0001 | ETA 04:39:06 2020-12-16 05:09:16 [INFO] [TRAIN] epoch=162, iter=59970/80000, loss=0.1149, lr=0.002876, batch_cost=0.8441, reader_cost=0.0001 | ETA 04:41:46 2020-12-16 05:09:27 [INFO] [TRAIN] epoch=162, iter=59980/80000, loss=0.1474, lr=0.002874, batch_cost=1.0872, reader_cost=0.0005 | ETA 06:02:45 2020-12-16 05:09:39 [INFO] [TRAIN] epoch=162, iter=59990/80000, loss=0.1595, lr=0.002873, batch_cost=1.1846, reader_cost=0.0074 | ETA 06:35:03 2020-12-16 05:09:49 [INFO] [TRAIN] epoch=162, iter=60000/80000, loss=0.1432, lr=0.002872, batch_cost=1.0351, reader_cost=0.0021 | ETA 05:45:02 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 05:09:50 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 05:10:40 [INFO] [EVAL] #Images=500 mIoU=0.7923 Acc=0.9617 Kappa=0.9503 2020-12-16 05:10:40 [INFO] [EVAL] Class IoU: [0.9826 0.8535 0.9274 0.5933 0.6388 0.6206 0.7111 0.7859 0.9242 0.6249 0.9479 0.8195 0.6507 0.952 0.8418 0.92 0.85 0.6359 0.7736] 2020-12-16 05:10:40 [INFO] [EVAL] Class Acc: [0.9927 0.9133 0.9608 0.8654 0.8327 0.7599 0.8357 0.8949 0.9514 0.8858 0.9723 0.8875 0.7768 0.9724 0.9233 0.9659 0.9518 0.7451 0.8709] 2020-12-16 05:10:46 [INFO] [EVAL] The model with the best validation mIoU (0.7937) was saved at iter 59000. 2020-12-16 05:10:58 [INFO] [TRAIN] epoch=162, iter=60010/80000, loss=0.1250, lr=0.002871, batch_cost=1.1445, reader_cost=0.0001 | ETA 06:21:17 2020-12-16 05:11:10 [INFO] [TRAIN] epoch=162, iter=60020/80000, loss=0.0975, lr=0.002869, batch_cost=1.2524, reader_cost=0.0001 | ETA 06:57:02 2020-12-16 05:11:25 [INFO] [TRAIN] epoch=162, iter=60030/80000, loss=0.1338, lr=0.002868, batch_cost=1.4523, reader_cost=0.0031 | ETA 08:03:21 2020-12-16 05:11:38 [INFO] [TRAIN] epoch=162, iter=60040/80000, loss=0.1547, lr=0.002867, batch_cost=1.2688, reader_cost=0.0001 | ETA 07:02:05 2020-12-16 05:11:50 [INFO] [TRAIN] epoch=162, iter=60050/80000, loss=0.1260, lr=0.002865, batch_cost=1.2430, reader_cost=0.0001 | ETA 06:53:18 2020-12-16 05:12:02 [INFO] [TRAIN] epoch=162, iter=60060/80000, loss=0.1381, lr=0.002864, batch_cost=1.1624, reader_cost=0.0001 | ETA 06:26:18 2020-12-16 05:12:15 [INFO] [TRAIN] epoch=162, iter=60070/80000, loss=0.1633, lr=0.002863, batch_cost=1.3211, reader_cost=0.0037 | ETA 07:18:49 2020-12-16 05:12:27 [INFO] [TRAIN] epoch=162, iter=60080/80000, loss=0.1218, lr=0.002862, batch_cost=1.2371, reader_cost=0.0001 | ETA 06:50:43 2020-12-16 05:12:39 [INFO] [TRAIN] epoch=162, iter=60090/80000, loss=0.1493, lr=0.002860, batch_cost=1.2072, reader_cost=0.0006 | ETA 06:40:34 2020-12-16 05:12:52 [INFO] [TRAIN] epoch=162, iter=60100/80000, loss=0.1131, lr=0.002859, batch_cost=1.2684, reader_cost=0.0033 | ETA 07:00:40 2020-12-16 05:13:04 [INFO] [TRAIN] epoch=162, iter=60110/80000, loss=0.1403, lr=0.002858, batch_cost=1.2421, reader_cost=0.0002 | ETA 06:51:44 2020-12-16 05:13:16 [INFO] [TRAIN] epoch=162, iter=60120/80000, loss=0.1356, lr=0.002856, batch_cost=1.1816, reader_cost=0.0041 | ETA 06:31:29 2020-12-16 05:13:29 [INFO] [TRAIN] epoch=162, iter=60130/80000, loss=0.1333, lr=0.002855, batch_cost=1.2280, reader_cost=0.0022 | ETA 06:46:40 2020-12-16 05:13:37 [INFO] [TRAIN] epoch=162, iter=60140/80000, loss=0.1948, lr=0.002854, batch_cost=0.8329, reader_cost=0.0001 | ETA 04:35:41 2020-12-16 05:13:46 [INFO] [TRAIN] epoch=162, iter=60150/80000, loss=0.1324, lr=0.002852, batch_cost=0.8687, reader_cost=0.0001 | ETA 04:47:23 2020-12-16 05:13:55 [INFO] [TRAIN] epoch=162, iter=60160/80000, loss=0.1751, lr=0.002851, batch_cost=0.8948, reader_cost=0.0001 | ETA 04:55:53 2020-12-16 05:14:06 [INFO] [TRAIN] epoch=162, iter=60170/80000, loss=0.1309, lr=0.002850, batch_cost=1.1522, reader_cost=0.0023 | ETA 06:20:47 2020-12-16 05:14:19 [INFO] [TRAIN] epoch=162, iter=60180/80000, loss=0.2030, lr=0.002849, batch_cost=1.2835, reader_cost=0.0021 | ETA 07:03:58 2020-12-16 05:14:31 [INFO] [TRAIN] epoch=162, iter=60190/80000, loss=0.1457, lr=0.002847, batch_cost=1.1992, reader_cost=0.0009 | ETA 06:35:56 2020-12-16 05:14:44 [INFO] [TRAIN] epoch=162, iter=60200/80000, loss=0.1383, lr=0.002846, batch_cost=1.3124, reader_cost=0.0040 | ETA 07:13:05 2020-12-16 05:14:56 [INFO] [TRAIN] epoch=162, iter=60210/80000, loss=0.1370, lr=0.002845, batch_cost=1.2064, reader_cost=0.0001 | ETA 06:37:53 2020-12-16 05:15:08 [INFO] [TRAIN] epoch=162, iter=60220/80000, loss=0.1483, lr=0.002843, batch_cost=1.1910, reader_cost=0.0013 | ETA 06:32:37 2020-12-16 05:15:20 [INFO] [TRAIN] epoch=162, iter=60230/80000, loss=0.0926, lr=0.002842, batch_cost=1.2095, reader_cost=0.0001 | ETA 06:38:32 2020-12-16 05:15:34 [INFO] [TRAIN] epoch=162, iter=60240/80000, loss=0.2019, lr=0.002841, batch_cost=1.3558, reader_cost=0.0027 | ETA 07:26:31 2020-12-16 05:15:45 [INFO] [TRAIN] epoch=162, iter=60250/80000, loss=0.1289, lr=0.002840, batch_cost=1.1624, reader_cost=0.0030 | ETA 06:22:37 2020-12-16 05:15:57 [INFO] [TRAIN] epoch=162, iter=60260/80000, loss=0.1789, lr=0.002838, batch_cost=1.1946, reader_cost=0.0004 | ETA 06:33:01 2020-12-16 05:16:09 [INFO] [TRAIN] epoch=163, iter=60270/80000, loss=0.1292, lr=0.002837, batch_cost=1.2144, reader_cost=0.0420 | ETA 06:39:20 2020-12-16 05:16:21 [INFO] [TRAIN] epoch=163, iter=60280/80000, loss=0.1316, lr=0.002836, batch_cost=1.2082, reader_cost=0.0032 | ETA 06:37:05 2020-12-16 05:16:34 [INFO] [TRAIN] epoch=163, iter=60290/80000, loss=0.1219, lr=0.002834, batch_cost=1.2921, reader_cost=0.0007 | ETA 07:04:28 2020-12-16 05:16:47 [INFO] [TRAIN] epoch=163, iter=60300/80000, loss=0.2203, lr=0.002833, batch_cost=1.2328, reader_cost=0.0014 | ETA 06:44:45 2020-12-16 05:16:59 [INFO] [TRAIN] epoch=163, iter=60310/80000, loss=0.1134, lr=0.002832, batch_cost=1.2607, reader_cost=0.0001 | ETA 06:53:43 2020-12-16 05:17:11 [INFO] [TRAIN] epoch=163, iter=60320/80000, loss=0.1399, lr=0.002830, batch_cost=1.2168, reader_cost=0.0001 | ETA 06:39:06 2020-12-16 05:17:24 [INFO] [TRAIN] epoch=163, iter=60330/80000, loss=0.1459, lr=0.002829, batch_cost=1.2406, reader_cost=0.0014 | ETA 06:46:42 2020-12-16 05:17:37 [INFO] [TRAIN] epoch=163, iter=60340/80000, loss=0.1439, lr=0.002828, batch_cost=1.2696, reader_cost=0.0035 | ETA 06:56:00 2020-12-16 05:17:48 [INFO] [TRAIN] epoch=163, iter=60350/80000, loss=0.1630, lr=0.002827, batch_cost=1.1877, reader_cost=0.0023 | ETA 06:28:58 2020-12-16 05:18:00 [INFO] [TRAIN] epoch=163, iter=60360/80000, loss=0.1879, lr=0.002825, batch_cost=1.1168, reader_cost=0.0005 | ETA 06:05:33 2020-12-16 05:18:08 [INFO] [TRAIN] epoch=163, iter=60370/80000, loss=0.1837, lr=0.002824, batch_cost=0.8476, reader_cost=0.0001 | ETA 04:37:17 2020-12-16 05:18:16 [INFO] [TRAIN] epoch=163, iter=60380/80000, loss=0.1492, lr=0.002823, batch_cost=0.8129, reader_cost=0.0001 | ETA 04:25:49 2020-12-16 05:18:25 [INFO] [TRAIN] epoch=163, iter=60390/80000, loss=0.1257, lr=0.002821, batch_cost=0.8471, reader_cost=0.0001 | ETA 04:36:51 2020-12-16 05:18:36 [INFO] [TRAIN] epoch=163, iter=60400/80000, loss=0.1452, lr=0.002820, batch_cost=1.1199, reader_cost=0.0024 | ETA 06:05:50 2020-12-16 05:18:48 [INFO] [TRAIN] epoch=163, iter=60410/80000, loss=0.1973, lr=0.002819, batch_cost=1.2508, reader_cost=0.0005 | ETA 06:48:23 2020-12-16 05:19:01 [INFO] [TRAIN] epoch=163, iter=60420/80000, loss=0.1661, lr=0.002818, batch_cost=1.2655, reader_cost=0.0001 | ETA 06:52:58 2020-12-16 05:19:13 [INFO] [TRAIN] epoch=163, iter=60430/80000, loss=0.1182, lr=0.002816, batch_cost=1.2029, reader_cost=0.0043 | ETA 06:32:20 2020-12-16 05:19:24 [INFO] [TRAIN] epoch=163, iter=60440/80000, loss=0.2052, lr=0.002815, batch_cost=1.1093, reader_cost=0.0004 | ETA 06:01:38 2020-12-16 05:19:36 [INFO] [TRAIN] epoch=163, iter=60450/80000, loss=0.2053, lr=0.002814, batch_cost=1.2205, reader_cost=0.0023 | ETA 06:37:40 2020-12-16 05:19:49 [INFO] [TRAIN] epoch=163, iter=60460/80000, loss=0.2227, lr=0.002812, batch_cost=1.2214, reader_cost=0.0001 | ETA 06:37:46 2020-12-16 05:20:00 [INFO] [TRAIN] epoch=163, iter=60470/80000, loss=0.1801, lr=0.002811, batch_cost=1.1208, reader_cost=0.0003 | ETA 06:04:49 2020-12-16 05:20:12 [INFO] [TRAIN] epoch=163, iter=60480/80000, loss=0.1099, lr=0.002810, batch_cost=1.2228, reader_cost=0.0001 | ETA 06:37:49 2020-12-16 05:20:24 [INFO] [TRAIN] epoch=163, iter=60490/80000, loss=0.1221, lr=0.002808, batch_cost=1.1853, reader_cost=0.0001 | ETA 06:25:25 2020-12-16 05:20:36 [INFO] [TRAIN] epoch=163, iter=60500/80000, loss=0.1332, lr=0.002807, batch_cost=1.2430, reader_cost=0.0002 | ETA 06:43:58 2020-12-16 05:20:48 [INFO] [TRAIN] epoch=163, iter=60510/80000, loss=0.1595, lr=0.002806, batch_cost=1.2092, reader_cost=0.0002 | ETA 06:32:46 2020-12-16 05:21:00 [INFO] [TRAIN] epoch=163, iter=60520/80000, loss=0.1747, lr=0.002805, batch_cost=1.1689, reader_cost=0.0006 | ETA 06:19:29 2020-12-16 05:21:13 [INFO] [TRAIN] epoch=163, iter=60530/80000, loss=0.1431, lr=0.002803, batch_cost=1.3223, reader_cost=0.0002 | ETA 07:09:05 2020-12-16 05:21:25 [INFO] [TRAIN] epoch=163, iter=60540/80000, loss=0.1593, lr=0.002802, batch_cost=1.1694, reader_cost=0.0001 | ETA 06:19:15 2020-12-16 05:21:37 [INFO] [TRAIN] epoch=163, iter=60550/80000, loss=0.1097, lr=0.002801, batch_cost=1.1877, reader_cost=0.0018 | ETA 06:25:01 2020-12-16 05:21:48 [INFO] [TRAIN] epoch=163, iter=60560/80000, loss=0.2294, lr=0.002799, batch_cost=1.1552, reader_cost=0.0010 | ETA 06:14:16 2020-12-16 05:22:01 [INFO] [TRAIN] epoch=163, iter=60570/80000, loss=0.2018, lr=0.002798, batch_cost=1.2265, reader_cost=0.0001 | ETA 06:37:10 2020-12-16 05:22:13 [INFO] [TRAIN] epoch=163, iter=60580/80000, loss=0.1089, lr=0.002797, batch_cost=1.2156, reader_cost=0.0016 | ETA 06:33:26 2020-12-16 05:22:24 [INFO] [TRAIN] epoch=163, iter=60590/80000, loss=0.1602, lr=0.002796, batch_cost=1.0815, reader_cost=0.0014 | ETA 05:49:51 2020-12-16 05:22:36 [INFO] [TRAIN] epoch=163, iter=60600/80000, loss=0.1276, lr=0.002794, batch_cost=1.2146, reader_cost=0.0002 | ETA 06:32:43 2020-12-16 05:22:44 [INFO] [TRAIN] epoch=163, iter=60610/80000, loss=0.1653, lr=0.002793, batch_cost=0.8415, reader_cost=0.0001 | ETA 04:31:55 2020-12-16 05:22:53 [INFO] [TRAIN] epoch=163, iter=60620/80000, loss=0.1934, lr=0.002792, batch_cost=0.8473, reader_cost=0.0001 | ETA 04:33:41 2020-12-16 05:23:01 [INFO] [TRAIN] epoch=163, iter=60630/80000, loss=0.1436, lr=0.002790, batch_cost=0.8712, reader_cost=0.0001 | ETA 04:41:15 2020-12-16 05:23:12 [INFO] [TRAIN] epoch=164, iter=60640/80000, loss=0.1225, lr=0.002789, batch_cost=1.0928, reader_cost=0.0649 | ETA 05:52:37 2020-12-16 05:23:24 [INFO] [TRAIN] epoch=164, iter=60650/80000, loss=0.1200, lr=0.002788, batch_cost=1.1367, reader_cost=0.0013 | ETA 06:06:35 2020-12-16 05:23:34 [INFO] [TRAIN] epoch=164, iter=60660/80000, loss=0.1508, lr=0.002786, batch_cost=1.0215, reader_cost=0.0005 | ETA 05:29:15 2020-12-16 05:23:44 [INFO] [TRAIN] epoch=164, iter=60670/80000, loss=0.1576, lr=0.002785, batch_cost=1.0347, reader_cost=0.0011 | ETA 05:33:21 2020-12-16 05:23:55 [INFO] [TRAIN] epoch=164, iter=60680/80000, loss=0.1298, lr=0.002784, batch_cost=1.1069, reader_cost=0.0002 | ETA 05:56:25 2020-12-16 05:24:08 [INFO] [TRAIN] epoch=164, iter=60690/80000, loss=0.0946, lr=0.002783, batch_cost=1.2540, reader_cost=0.0003 | ETA 06:43:35 2020-12-16 05:24:20 [INFO] [TRAIN] epoch=164, iter=60700/80000, loss=0.1926, lr=0.002781, batch_cost=1.2562, reader_cost=0.0001 | ETA 06:44:04 2020-12-16 05:24:32 [INFO] [TRAIN] epoch=164, iter=60710/80000, loss=0.1725, lr=0.002780, batch_cost=1.1765, reader_cost=0.0021 | ETA 06:18:15 2020-12-16 05:24:45 [INFO] [TRAIN] epoch=164, iter=60720/80000, loss=0.1704, lr=0.002779, batch_cost=1.2271, reader_cost=0.0026 | ETA 06:34:17 2020-12-16 05:24:57 [INFO] [TRAIN] epoch=164, iter=60730/80000, loss=0.2150, lr=0.002777, batch_cost=1.2503, reader_cost=0.0014 | ETA 06:41:33 2020-12-16 05:25:10 [INFO] [TRAIN] epoch=164, iter=60740/80000, loss=0.1135, lr=0.002776, batch_cost=1.3087, reader_cost=0.0001 | ETA 07:00:05 2020-12-16 05:25:22 [INFO] [TRAIN] epoch=164, iter=60750/80000, loss=0.1141, lr=0.002775, batch_cost=1.2165, reader_cost=0.0001 | ETA 06:30:18 2020-12-16 05:25:33 [INFO] [TRAIN] epoch=164, iter=60760/80000, loss=0.1432, lr=0.002773, batch_cost=1.0882, reader_cost=0.0012 | ETA 05:48:56 2020-12-16 05:25:44 [INFO] [TRAIN] epoch=164, iter=60770/80000, loss=0.1500, lr=0.002772, batch_cost=1.1307, reader_cost=0.0009 | ETA 06:02:23 2020-12-16 05:25:55 [INFO] [TRAIN] epoch=164, iter=60780/80000, loss=0.1506, lr=0.002771, batch_cost=1.0248, reader_cost=0.0010 | ETA 05:28:17 2020-12-16 05:26:06 [INFO] [TRAIN] epoch=164, iter=60790/80000, loss=0.1356, lr=0.002770, batch_cost=1.1378, reader_cost=0.0001 | ETA 06:04:16 2020-12-16 05:26:18 [INFO] [TRAIN] epoch=164, iter=60800/80000, loss=0.3222, lr=0.002768, batch_cost=1.2387, reader_cost=0.0005 | ETA 06:36:23 2020-12-16 05:26:32 [INFO] [TRAIN] epoch=164, iter=60810/80000, loss=0.1107, lr=0.002767, batch_cost=1.3300, reader_cost=0.0007 | ETA 07:05:22 2020-12-16 05:26:44 [INFO] [TRAIN] epoch=164, iter=60820/80000, loss=0.1716, lr=0.002766, batch_cost=1.2196, reader_cost=0.0002 | ETA 06:29:52 2020-12-16 05:26:56 [INFO] [TRAIN] epoch=164, iter=60830/80000, loss=0.1373, lr=0.002764, batch_cost=1.1899, reader_cost=0.0001 | ETA 06:20:10 2020-12-16 05:27:09 [INFO] [TRAIN] epoch=164, iter=60840/80000, loss=0.1283, lr=0.002763, batch_cost=1.3129, reader_cost=0.0071 | ETA 06:59:14 2020-12-16 05:27:19 [INFO] [TRAIN] epoch=164, iter=60850/80000, loss=0.1284, lr=0.002762, batch_cost=1.0022, reader_cost=0.0007 | ETA 05:19:51 2020-12-16 05:27:27 [INFO] [TRAIN] epoch=164, iter=60860/80000, loss=0.1268, lr=0.002760, batch_cost=0.8199, reader_cost=0.0001 | ETA 04:21:33 2020-12-16 05:27:36 [INFO] [TRAIN] epoch=164, iter=60870/80000, loss=0.1028, lr=0.002759, batch_cost=0.8356, reader_cost=0.0008 | ETA 04:26:25 2020-12-16 05:27:46 [INFO] [TRAIN] epoch=164, iter=60880/80000, loss=0.1359, lr=0.002758, batch_cost=1.0893, reader_cost=0.0001 | ETA 05:47:07 2020-12-16 05:27:58 [INFO] [TRAIN] epoch=164, iter=60890/80000, loss=0.1393, lr=0.002757, batch_cost=1.1995, reader_cost=0.0005 | ETA 06:22:03 2020-12-16 05:28:11 [INFO] [TRAIN] epoch=164, iter=60900/80000, loss=0.1412, lr=0.002755, batch_cost=1.2250, reader_cost=0.0001 | ETA 06:29:57 2020-12-16 05:28:23 [INFO] [TRAIN] epoch=164, iter=60910/80000, loss=0.1714, lr=0.002754, batch_cost=1.1894, reader_cost=0.0002 | ETA 06:18:25 2020-12-16 05:28:34 [INFO] [TRAIN] epoch=164, iter=60920/80000, loss=0.1248, lr=0.002753, batch_cost=1.0911, reader_cost=0.0008 | ETA 05:46:57 2020-12-16 05:28:46 [INFO] [TRAIN] epoch=164, iter=60930/80000, loss=0.1327, lr=0.002751, batch_cost=1.2856, reader_cost=0.0001 | ETA 06:48:35 2020-12-16 05:28:58 [INFO] [TRAIN] epoch=164, iter=60940/80000, loss=0.1292, lr=0.002750, batch_cost=1.1193, reader_cost=0.0007 | ETA 05:55:33 2020-12-16 05:29:09 [INFO] [TRAIN] epoch=164, iter=60950/80000, loss=0.1486, lr=0.002749, batch_cost=1.1748, reader_cost=0.0025 | ETA 06:13:00 2020-12-16 05:29:22 [INFO] [TRAIN] epoch=164, iter=60960/80000, loss=0.1259, lr=0.002748, batch_cost=1.2766, reader_cost=0.0031 | ETA 06:45:06 2020-12-16 05:29:35 [INFO] [TRAIN] epoch=164, iter=60970/80000, loss=0.1937, lr=0.002746, batch_cost=1.2635, reader_cost=0.0001 | ETA 06:40:43 2020-12-16 05:29:48 [INFO] [TRAIN] epoch=164, iter=60980/80000, loss=0.1238, lr=0.002745, batch_cost=1.2794, reader_cost=0.0008 | ETA 06:45:34 2020-12-16 05:30:00 [INFO] [TRAIN] epoch=164, iter=60990/80000, loss=0.1717, lr=0.002744, batch_cost=1.2185, reader_cost=0.0001 | ETA 06:26:03 2020-12-16 05:30:13 [INFO] [TRAIN] epoch=164, iter=61000/80000, loss=0.1763, lr=0.002742, batch_cost=1.2809, reader_cost=0.0004 | ETA 06:45:37 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 05:30:13 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 05:31:03 [INFO] [EVAL] #Images=500 mIoU=0.7918 Acc=0.9611 Kappa=0.9496 2020-12-16 05:31:03 [INFO] [EVAL] Class IoU: [0.9814 0.8522 0.9277 0.5685 0.6374 0.6158 0.7093 0.7851 0.9226 0.6567 0.9475 0.8187 0.647 0.9506 0.8308 0.9122 0.8307 0.678 0.7717] 2020-12-16 05:31:03 [INFO] [EVAL] Class Acc: [0.9946 0.9084 0.9594 0.8478 0.8156 0.7747 0.8307 0.9031 0.9521 0.8263 0.9674 0.8975 0.7556 0.9714 0.8911 0.9535 0.9562 0.8035 0.8554] 2020-12-16 05:31:10 [INFO] [EVAL] The model with the best validation mIoU (0.7937) was saved at iter 59000. 2020-12-16 05:31:19 [INFO] [TRAIN] epoch=165, iter=61010/80000, loss=0.1252, lr=0.002741, batch_cost=0.8702, reader_cost=0.0475 | ETA 04:35:25 2020-12-16 05:31:27 [INFO] [TRAIN] epoch=165, iter=61020/80000, loss=0.1286, lr=0.002740, batch_cost=0.8248, reader_cost=0.0001 | ETA 04:20:53 2020-12-16 05:31:35 [INFO] [TRAIN] epoch=165, iter=61030/80000, loss=0.1539, lr=0.002738, batch_cost=0.8215, reader_cost=0.0001 | ETA 04:19:43 2020-12-16 05:31:43 [INFO] [TRAIN] epoch=165, iter=61040/80000, loss=0.1793, lr=0.002737, batch_cost=0.8178, reader_cost=0.0000 | ETA 04:18:25 2020-12-16 05:31:54 [INFO] [TRAIN] epoch=165, iter=61050/80000, loss=0.1314, lr=0.002736, batch_cost=1.0911, reader_cost=0.0001 | ETA 05:44:36 2020-12-16 05:32:06 [INFO] [TRAIN] epoch=165, iter=61060/80000, loss=0.1765, lr=0.002735, batch_cost=1.1926, reader_cost=0.0014 | ETA 06:16:27 2020-12-16 05:32:18 [INFO] [TRAIN] epoch=165, iter=61070/80000, loss=0.1054, lr=0.002733, batch_cost=1.2112, reader_cost=0.0011 | ETA 06:22:08 2020-12-16 05:32:28 [INFO] [TRAIN] epoch=165, iter=61080/80000, loss=0.1332, lr=0.002732, batch_cost=0.9285, reader_cost=0.0008 | ETA 04:52:47 2020-12-16 05:32:36 [INFO] [TRAIN] epoch=165, iter=61090/80000, loss=0.1190, lr=0.002731, batch_cost=0.8229, reader_cost=0.0001 | ETA 04:19:21 2020-12-16 05:32:44 [INFO] [TRAIN] epoch=165, iter=61100/80000, loss=0.1492, lr=0.002729, batch_cost=0.8500, reader_cost=0.0001 | ETA 04:27:44 2020-12-16 05:32:56 [INFO] [TRAIN] epoch=165, iter=61110/80000, loss=0.1318, lr=0.002728, batch_cost=1.1071, reader_cost=0.0003 | ETA 05:48:33 2020-12-16 05:33:07 [INFO] [TRAIN] epoch=165, iter=61120/80000, loss=0.1338, lr=0.002727, batch_cost=1.1743, reader_cost=0.0030 | ETA 06:09:30 2020-12-16 05:33:19 [INFO] [TRAIN] epoch=165, iter=61130/80000, loss=0.1324, lr=0.002725, batch_cost=1.1647, reader_cost=0.0001 | ETA 06:06:18 2020-12-16 05:33:32 [INFO] [TRAIN] epoch=165, iter=61140/80000, loss=0.1219, lr=0.002724, batch_cost=1.2988, reader_cost=0.0001 | ETA 06:48:14 2020-12-16 05:33:44 [INFO] [TRAIN] epoch=165, iter=61150/80000, loss=0.1228, lr=0.002723, batch_cost=1.2438, reader_cost=0.0016 | ETA 06:30:45 2020-12-16 05:33:56 [INFO] [TRAIN] epoch=165, iter=61160/80000, loss=0.1758, lr=0.002722, batch_cost=1.1528, reader_cost=0.0012 | ETA 06:01:59 2020-12-16 05:34:09 [INFO] [TRAIN] epoch=165, iter=61170/80000, loss=0.1286, lr=0.002720, batch_cost=1.3237, reader_cost=0.0016 | ETA 06:55:25 2020-12-16 05:34:22 [INFO] [TRAIN] epoch=165, iter=61180/80000, loss=0.1315, lr=0.002719, batch_cost=1.2354, reader_cost=0.0009 | ETA 06:27:29 2020-12-16 05:34:33 [INFO] [TRAIN] epoch=165, iter=61190/80000, loss=0.1334, lr=0.002718, batch_cost=1.1362, reader_cost=0.0001 | ETA 05:56:11 2020-12-16 05:34:45 [INFO] [TRAIN] epoch=165, iter=61200/80000, loss=0.1470, lr=0.002716, batch_cost=1.1706, reader_cost=0.0052 | ETA 06:06:46 2020-12-16 05:34:57 [INFO] [TRAIN] epoch=165, iter=61210/80000, loss=0.0950, lr=0.002715, batch_cost=1.2732, reader_cost=0.0007 | ETA 06:38:42 2020-12-16 05:35:09 [INFO] [TRAIN] epoch=165, iter=61220/80000, loss=0.1226, lr=0.002714, batch_cost=1.1819, reader_cost=0.0005 | ETA 06:09:55 2020-12-16 05:35:22 [INFO] [TRAIN] epoch=165, iter=61230/80000, loss=0.1205, lr=0.002712, batch_cost=1.2596, reader_cost=0.0010 | ETA 06:34:03 2020-12-16 05:35:35 [INFO] [TRAIN] epoch=165, iter=61240/80000, loss=0.2039, lr=0.002711, batch_cost=1.3574, reader_cost=0.0022 | ETA 07:04:24 2020-12-16 05:35:48 [INFO] [TRAIN] epoch=165, iter=61250/80000, loss=0.1904, lr=0.002710, batch_cost=1.3039, reader_cost=0.0029 | ETA 06:47:28 2020-12-16 05:36:02 [INFO] [TRAIN] epoch=165, iter=61260/80000, loss=0.1331, lr=0.002709, batch_cost=1.4040, reader_cost=0.0035 | ETA 07:18:30 2020-12-16 05:36:14 [INFO] [TRAIN] epoch=165, iter=61270/80000, loss=0.2034, lr=0.002707, batch_cost=1.1718, reader_cost=0.0013 | ETA 06:05:47 2020-12-16 05:36:27 [INFO] [TRAIN] epoch=165, iter=61280/80000, loss=0.1381, lr=0.002706, batch_cost=1.2895, reader_cost=0.0059 | ETA 06:42:19 2020-12-16 05:36:39 [INFO] [TRAIN] epoch=165, iter=61290/80000, loss=0.1640, lr=0.002705, batch_cost=1.2094, reader_cost=0.0001 | ETA 06:17:07 2020-12-16 05:36:51 [INFO] [TRAIN] epoch=165, iter=61300/80000, loss=0.1714, lr=0.002703, batch_cost=1.2328, reader_cost=0.0015 | ETA 06:24:13 2020-12-16 05:37:01 [INFO] [TRAIN] epoch=165, iter=61310/80000, loss=0.1494, lr=0.002702, batch_cost=0.9462, reader_cost=0.0005 | ETA 04:54:44 2020-12-16 05:37:09 [INFO] [TRAIN] epoch=165, iter=61320/80000, loss=0.1641, lr=0.002701, batch_cost=0.8148, reader_cost=0.0001 | ETA 04:13:39 2020-12-16 05:37:18 [INFO] [TRAIN] epoch=165, iter=61330/80000, loss=0.1000, lr=0.002699, batch_cost=0.8566, reader_cost=0.0002 | ETA 04:26:32 2020-12-16 05:37:29 [INFO] [TRAIN] epoch=165, iter=61340/80000, loss=0.1474, lr=0.002698, batch_cost=1.1116, reader_cost=0.0001 | ETA 05:45:41 2020-12-16 05:37:42 [INFO] [TRAIN] epoch=165, iter=61350/80000, loss=0.1865, lr=0.002697, batch_cost=1.2817, reader_cost=0.0002 | ETA 06:38:24 2020-12-16 05:37:53 [INFO] [TRAIN] epoch=165, iter=61360/80000, loss=0.1144, lr=0.002696, batch_cost=1.1202, reader_cost=0.0001 | ETA 05:48:01 2020-12-16 05:38:04 [INFO] [TRAIN] epoch=165, iter=61370/80000, loss=0.1516, lr=0.002694, batch_cost=1.1448, reader_cost=0.0013 | ETA 05:55:27 2020-12-16 05:38:14 [INFO] [TRAIN] epoch=165, iter=61380/80000, loss=0.1369, lr=0.002693, batch_cost=0.9725, reader_cost=0.0002 | ETA 05:01:48 2020-12-16 05:38:27 [INFO] [TRAIN] epoch=166, iter=61390/80000, loss=0.1663, lr=0.002692, batch_cost=1.2964, reader_cost=0.0665 | ETA 06:42:06 2020-12-16 05:38:38 [INFO] [TRAIN] epoch=166, iter=61400/80000, loss=0.1686, lr=0.002690, batch_cost=1.1361, reader_cost=0.0001 | ETA 05:52:11 2020-12-16 05:38:50 [INFO] [TRAIN] epoch=166, iter=61410/80000, loss=0.1919, lr=0.002689, batch_cost=1.1347, reader_cost=0.0001 | ETA 05:51:33 2020-12-16 05:39:03 [INFO] [TRAIN] epoch=166, iter=61420/80000, loss=0.1933, lr=0.002688, batch_cost=1.3002, reader_cost=0.0001 | ETA 06:42:37 2020-12-16 05:39:15 [INFO] [TRAIN] epoch=166, iter=61430/80000, loss=0.1620, lr=0.002686, batch_cost=1.2183, reader_cost=0.0007 | ETA 06:17:04 2020-12-16 05:39:27 [INFO] [TRAIN] epoch=166, iter=61440/80000, loss=0.1227, lr=0.002685, batch_cost=1.1953, reader_cost=0.0026 | ETA 06:09:43 2020-12-16 05:39:40 [INFO] [TRAIN] epoch=166, iter=61450/80000, loss=0.1894, lr=0.002684, batch_cost=1.3072, reader_cost=0.0009 | ETA 06:44:07 2020-12-16 05:39:53 [INFO] [TRAIN] epoch=166, iter=61460/80000, loss=0.1392, lr=0.002682, batch_cost=1.2752, reader_cost=0.0018 | ETA 06:34:02 2020-12-16 05:40:05 [INFO] [TRAIN] epoch=166, iter=61470/80000, loss=0.1245, lr=0.002681, batch_cost=1.1958, reader_cost=0.0001 | ETA 06:09:18 2020-12-16 05:40:16 [INFO] [TRAIN] epoch=166, iter=61480/80000, loss=0.1208, lr=0.002680, batch_cost=1.1746, reader_cost=0.0003 | ETA 06:02:34 2020-12-16 05:40:29 [INFO] [TRAIN] epoch=166, iter=61490/80000, loss=0.2055, lr=0.002679, batch_cost=1.2651, reader_cost=0.0019 | ETA 06:30:16 2020-12-16 05:40:41 [INFO] [TRAIN] epoch=166, iter=61500/80000, loss=0.1484, lr=0.002677, batch_cost=1.1992, reader_cost=0.0001 | ETA 06:09:46 2020-12-16 05:40:54 [INFO] [TRAIN] epoch=166, iter=61510/80000, loss=0.1878, lr=0.002676, batch_cost=1.2665, reader_cost=0.0001 | ETA 06:30:17 2020-12-16 05:41:06 [INFO] [TRAIN] epoch=166, iter=61520/80000, loss=0.1189, lr=0.002675, batch_cost=1.2193, reader_cost=0.0007 | ETA 06:15:32 2020-12-16 05:41:19 [INFO] [TRAIN] epoch=166, iter=61530/80000, loss=0.1583, lr=0.002673, batch_cost=1.3476, reader_cost=0.0014 | ETA 06:54:50 2020-12-16 05:41:32 [INFO] [TRAIN] epoch=166, iter=61540/80000, loss=0.1279, lr=0.002672, batch_cost=1.2636, reader_cost=0.0008 | ETA 06:28:45 2020-12-16 05:41:42 [INFO] [TRAIN] epoch=166, iter=61550/80000, loss=0.1823, lr=0.002671, batch_cost=1.0262, reader_cost=0.0005 | ETA 05:15:33 2020-12-16 05:41:51 [INFO] [TRAIN] epoch=166, iter=61560/80000, loss=0.1593, lr=0.002669, batch_cost=0.8863, reader_cost=0.0001 | ETA 04:32:23 2020-12-16 05:41:59 [INFO] [TRAIN] epoch=166, iter=61570/80000, loss=0.1164, lr=0.002668, batch_cost=0.8262, reader_cost=0.0004 | ETA 04:13:47 2020-12-16 05:42:08 [INFO] [TRAIN] epoch=166, iter=61580/80000, loss=0.1660, lr=0.002667, batch_cost=0.8768, reader_cost=0.0001 | ETA 04:29:11 2020-12-16 05:42:20 [INFO] [TRAIN] epoch=166, iter=61590/80000, loss=0.1083, lr=0.002666, batch_cost=1.2063, reader_cost=0.0010 | ETA 06:10:07 2020-12-16 05:42:32 [INFO] [TRAIN] epoch=166, iter=61600/80000, loss=0.1726, lr=0.002664, batch_cost=1.2395, reader_cost=0.0014 | ETA 06:20:07 2020-12-16 05:42:45 [INFO] [TRAIN] epoch=166, iter=61610/80000, loss=0.1202, lr=0.002663, batch_cost=1.2583, reader_cost=0.0005 | ETA 06:25:40 2020-12-16 05:42:57 [INFO] [TRAIN] epoch=166, iter=61620/80000, loss=0.1650, lr=0.002662, batch_cost=1.2262, reader_cost=0.0001 | ETA 06:15:38 2020-12-16 05:43:09 [INFO] [TRAIN] epoch=166, iter=61630/80000, loss=0.1371, lr=0.002660, batch_cost=1.1980, reader_cost=0.0014 | ETA 06:06:46 2020-12-16 05:43:22 [INFO] [TRAIN] epoch=166, iter=61640/80000, loss=0.1329, lr=0.002659, batch_cost=1.2444, reader_cost=0.0026 | ETA 06:20:47 2020-12-16 05:43:36 [INFO] [TRAIN] epoch=166, iter=61650/80000, loss=0.1228, lr=0.002658, batch_cost=1.3816, reader_cost=0.0002 | ETA 07:02:31 2020-12-16 05:43:49 [INFO] [TRAIN] epoch=166, iter=61660/80000, loss=0.1636, lr=0.002656, batch_cost=1.3194, reader_cost=0.0002 | ETA 06:43:17 2020-12-16 05:44:00 [INFO] [TRAIN] epoch=166, iter=61670/80000, loss=0.1412, lr=0.002655, batch_cost=1.1484, reader_cost=0.0035 | ETA 05:50:50 2020-12-16 05:44:12 [INFO] [TRAIN] epoch=166, iter=61680/80000, loss=0.1352, lr=0.002654, batch_cost=1.2125, reader_cost=0.0016 | ETA 06:10:13 2020-12-16 05:44:24 [INFO] [TRAIN] epoch=166, iter=61690/80000, loss=0.1518, lr=0.002653, batch_cost=1.1619, reader_cost=0.0001 | ETA 05:54:34 2020-12-16 05:44:37 [INFO] [TRAIN] epoch=166, iter=61700/80000, loss=0.1368, lr=0.002651, batch_cost=1.2509, reader_cost=0.0001 | ETA 06:21:32 2020-12-16 05:44:49 [INFO] [TRAIN] epoch=166, iter=61710/80000, loss=0.1252, lr=0.002650, batch_cost=1.2286, reader_cost=0.0036 | ETA 06:14:31 2020-12-16 05:45:01 [INFO] [TRAIN] epoch=166, iter=61720/80000, loss=0.1270, lr=0.002649, batch_cost=1.2358, reader_cost=0.0021 | ETA 06:16:29 2020-12-16 05:45:13 [INFO] [TRAIN] epoch=166, iter=61730/80000, loss=0.1504, lr=0.002647, batch_cost=1.2169, reader_cost=0.0001 | ETA 06:10:33 2020-12-16 05:45:27 [INFO] [TRAIN] epoch=166, iter=61740/80000, loss=0.1723, lr=0.002646, batch_cost=1.3613, reader_cost=0.0006 | ETA 06:54:16 2020-12-16 05:45:38 [INFO] [TRAIN] epoch=166, iter=61750/80000, loss=0.1374, lr=0.002645, batch_cost=1.0657, reader_cost=0.0011 | ETA 05:24:09 2020-12-16 05:45:51 [INFO] [TRAIN] epoch=167, iter=61760/80000, loss=0.1182, lr=0.002643, batch_cost=1.3369, reader_cost=0.0723 | ETA 06:46:24 2020-12-16 05:46:03 [INFO] [TRAIN] epoch=167, iter=61770/80000, loss=0.1454, lr=0.002642, batch_cost=1.1938, reader_cost=0.0011 | ETA 06:02:43 2020-12-16 05:46:15 [INFO] [TRAIN] epoch=167, iter=61780/80000, loss=0.1191, lr=0.002641, batch_cost=1.2463, reader_cost=0.0008 | ETA 06:18:28 2020-12-16 05:46:28 [INFO] [TRAIN] epoch=167, iter=61790/80000, loss=0.1808, lr=0.002639, batch_cost=1.2716, reader_cost=0.0003 | ETA 06:25:55 2020-12-16 05:46:37 [INFO] [TRAIN] epoch=167, iter=61800/80000, loss=0.1658, lr=0.002638, batch_cost=0.8533, reader_cost=0.0001 | ETA 04:18:49 2020-12-16 05:46:45 [INFO] [TRAIN] epoch=167, iter=61810/80000, loss=0.1263, lr=0.002637, batch_cost=0.8191, reader_cost=0.0001 | ETA 04:08:19 2020-12-16 05:46:53 [INFO] [TRAIN] epoch=167, iter=61820/80000, loss=0.1145, lr=0.002636, batch_cost=0.8590, reader_cost=0.0001 | ETA 04:20:15 2020-12-16 05:47:05 [INFO] [TRAIN] epoch=167, iter=61830/80000, loss=0.1282, lr=0.002634, batch_cost=1.1570, reader_cost=0.0001 | ETA 05:50:22 2020-12-16 05:47:18 [INFO] [TRAIN] epoch=167, iter=61840/80000, loss=0.1348, lr=0.002633, batch_cost=1.3501, reader_cost=0.0014 | ETA 06:48:38 2020-12-16 05:47:31 [INFO] [TRAIN] epoch=167, iter=61850/80000, loss=0.1616, lr=0.002632, batch_cost=1.2331, reader_cost=0.0011 | ETA 06:13:00 2020-12-16 05:47:43 [INFO] [TRAIN] epoch=167, iter=61860/80000, loss=0.1183, lr=0.002630, batch_cost=1.2279, reader_cost=0.0002 | ETA 06:11:14 2020-12-16 05:47:55 [INFO] [TRAIN] epoch=167, iter=61870/80000, loss=0.1249, lr=0.002629, batch_cost=1.1449, reader_cost=0.0026 | ETA 05:45:56 2020-12-16 05:48:06 [INFO] [TRAIN] epoch=167, iter=61880/80000, loss=0.1544, lr=0.002628, batch_cost=1.1729, reader_cost=0.0010 | ETA 05:54:13 2020-12-16 05:48:19 [INFO] [TRAIN] epoch=167, iter=61890/80000, loss=0.1414, lr=0.002626, batch_cost=1.2748, reader_cost=0.0023 | ETA 06:24:46 2020-12-16 05:48:32 [INFO] [TRAIN] epoch=167, iter=61900/80000, loss=0.1427, lr=0.002625, batch_cost=1.2493, reader_cost=0.0014 | ETA 06:16:52 2020-12-16 05:48:43 [INFO] [TRAIN] epoch=167, iter=61910/80000, loss=0.1620, lr=0.002624, batch_cost=1.1838, reader_cost=0.0015 | ETA 05:56:54 2020-12-16 05:48:56 [INFO] [TRAIN] epoch=167, iter=61920/80000, loss=0.1492, lr=0.002623, batch_cost=1.2979, reader_cost=0.0067 | ETA 06:31:06 2020-12-16 05:49:08 [INFO] [TRAIN] epoch=167, iter=61930/80000, loss=0.1386, lr=0.002621, batch_cost=1.2041, reader_cost=0.0025 | ETA 06:02:38 2020-12-16 05:49:19 [INFO] [TRAIN] epoch=167, iter=61940/80000, loss=0.1554, lr=0.002620, batch_cost=1.0831, reader_cost=0.0007 | ETA 05:26:00 2020-12-16 05:49:32 [INFO] [TRAIN] epoch=167, iter=61950/80000, loss=0.1399, lr=0.002619, batch_cost=1.2513, reader_cost=0.0005 | ETA 06:16:25 2020-12-16 05:49:44 [INFO] [TRAIN] epoch=167, iter=61960/80000, loss=0.1360, lr=0.002617, batch_cost=1.2273, reader_cost=0.0023 | ETA 06:08:59 2020-12-16 05:49:55 [INFO] [TRAIN] epoch=167, iter=61970/80000, loss=0.2743, lr=0.002616, batch_cost=1.1048, reader_cost=0.0019 | ETA 05:31:59 2020-12-16 05:50:07 [INFO] [TRAIN] epoch=167, iter=61980/80000, loss=0.1514, lr=0.002615, batch_cost=1.2254, reader_cost=0.0020 | ETA 06:08:01 2020-12-16 05:50:19 [INFO] [TRAIN] epoch=167, iter=61990/80000, loss=0.1750, lr=0.002613, batch_cost=1.1191, reader_cost=0.0027 | ETA 05:35:55 2020-12-16 05:50:31 [INFO] [TRAIN] epoch=167, iter=62000/80000, loss=0.1572, lr=0.002612, batch_cost=1.2831, reader_cost=0.0010 | ETA 06:24:56 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 05:50:31 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 05:51:22 [INFO] [EVAL] #Images=500 mIoU=0.7944 Acc=0.9619 Kappa=0.9506 2020-12-16 05:51:22 [INFO] [EVAL] Class IoU: [0.9824 0.855 0.9273 0.5808 0.6321 0.6104 0.7101 0.7841 0.9254 0.662 0.9481 0.8199 0.6394 0.9527 0.8599 0.918 0.8446 0.6626 0.7782] 2020-12-16 05:51:22 [INFO] [EVAL] Class Acc: [0.9922 0.9144 0.9591 0.8702 0.8198 0.7821 0.8327 0.897 0.9533 0.8516 0.9719 0.8893 0.79 0.9742 0.9456 0.9668 0.931 0.8741 0.854 ] 2020-12-16 05:51:32 [INFO] [EVAL] The model with the best validation mIoU (0.7944) was saved at iter 62000. 2020-12-16 05:51:42 [INFO] [TRAIN] epoch=167, iter=62010/80000, loss=0.1321, lr=0.002611, batch_cost=1.0366, reader_cost=0.0003 | ETA 05:10:47 2020-12-16 05:51:52 [INFO] [TRAIN] epoch=167, iter=62020/80000, loss=0.1461, lr=0.002609, batch_cost=0.9991, reader_cost=0.0001 | ETA 04:59:23 2020-12-16 05:52:04 [INFO] [TRAIN] epoch=167, iter=62030/80000, loss=0.1898, lr=0.002608, batch_cost=1.1926, reader_cost=0.0018 | ETA 05:57:11 2020-12-16 05:52:15 [INFO] [TRAIN] epoch=167, iter=62040/80000, loss=0.1573, lr=0.002607, batch_cost=1.0570, reader_cost=0.0007 | ETA 05:16:24 2020-12-16 05:52:27 [INFO] [TRAIN] epoch=167, iter=62050/80000, loss=0.1656, lr=0.002606, batch_cost=1.2255, reader_cost=0.0034 | ETA 06:06:37 2020-12-16 05:52:39 [INFO] [TRAIN] epoch=167, iter=62060/80000, loss=0.1397, lr=0.002604, batch_cost=1.1929, reader_cost=0.0016 | ETA 05:56:40 2020-12-16 05:52:50 [INFO] [TRAIN] epoch=167, iter=62070/80000, loss=0.1184, lr=0.002603, batch_cost=1.1096, reader_cost=0.0001 | ETA 05:31:34 2020-12-16 05:53:01 [INFO] [TRAIN] epoch=167, iter=62080/80000, loss=0.1403, lr=0.002602, batch_cost=1.0791, reader_cost=0.0008 | ETA 05:22:16 2020-12-16 05:53:13 [INFO] [TRAIN] epoch=167, iter=62090/80000, loss=0.1121, lr=0.002600, batch_cost=1.2466, reader_cost=0.0037 | ETA 06:12:05 2020-12-16 05:53:26 [INFO] [TRAIN] epoch=167, iter=62100/80000, loss=0.1403, lr=0.002599, batch_cost=1.2890, reader_cost=0.0014 | ETA 06:24:33 2020-12-16 05:53:39 [INFO] [TRAIN] epoch=167, iter=62110/80000, loss=0.1456, lr=0.002598, batch_cost=1.2900, reader_cost=0.0035 | ETA 06:24:37 2020-12-16 05:53:51 [INFO] [TRAIN] epoch=167, iter=62120/80000, loss=0.1405, lr=0.002596, batch_cost=1.1993, reader_cost=0.0001 | ETA 05:57:24 2020-12-16 05:54:03 [INFO] [TRAIN] epoch=168, iter=62130/80000, loss=0.1285, lr=0.002595, batch_cost=1.2127, reader_cost=0.0712 | ETA 06:01:11 2020-12-16 05:54:16 [INFO] [TRAIN] epoch=168, iter=62140/80000, loss=0.1167, lr=0.002594, batch_cost=1.2802, reader_cost=0.0002 | ETA 06:21:04 2020-12-16 05:54:28 [INFO] [TRAIN] epoch=168, iter=62150/80000, loss=0.1621, lr=0.002592, batch_cost=1.2472, reader_cost=0.0003 | ETA 06:11:01 2020-12-16 05:54:40 [INFO] [TRAIN] epoch=168, iter=62160/80000, loss=0.1372, lr=0.002591, batch_cost=1.1669, reader_cost=0.0002 | ETA 05:46:57 2020-12-16 05:54:53 [INFO] [TRAIN] epoch=168, iter=62170/80000, loss=0.1187, lr=0.002590, batch_cost=1.3084, reader_cost=0.0002 | ETA 06:28:49 2020-12-16 05:55:05 [INFO] [TRAIN] epoch=168, iter=62180/80000, loss=0.1450, lr=0.002589, batch_cost=1.1550, reader_cost=0.0023 | ETA 05:43:02 2020-12-16 05:55:18 [INFO] [TRAIN] epoch=168, iter=62190/80000, loss=0.1581, lr=0.002587, batch_cost=1.3102, reader_cost=0.0010 | ETA 06:28:53 2020-12-16 05:55:30 [INFO] [TRAIN] epoch=168, iter=62200/80000, loss=0.1407, lr=0.002586, batch_cost=1.1751, reader_cost=0.0001 | ETA 05:48:36 2020-12-16 05:55:42 [INFO] [TRAIN] epoch=168, iter=62210/80000, loss=0.1513, lr=0.002585, batch_cost=1.2513, reader_cost=0.0001 | ETA 06:10:59 2020-12-16 05:55:55 [INFO] [TRAIN] epoch=168, iter=62220/80000, loss=0.1229, lr=0.002583, batch_cost=1.2480, reader_cost=0.0002 | ETA 06:09:49 2020-12-16 05:56:05 [INFO] [TRAIN] epoch=168, iter=62230/80000, loss=0.1029, lr=0.002582, batch_cost=1.0599, reader_cost=0.0001 | ETA 05:13:54 2020-12-16 05:56:14 [INFO] [TRAIN] epoch=168, iter=62240/80000, loss=0.1260, lr=0.002581, batch_cost=0.8506, reader_cost=0.0001 | ETA 04:11:47 2020-12-16 05:56:22 [INFO] [TRAIN] epoch=168, iter=62250/80000, loss=0.1198, lr=0.002579, batch_cost=0.8501, reader_cost=0.0001 | ETA 04:11:29 2020-12-16 05:56:32 [INFO] [TRAIN] epoch=168, iter=62260/80000, loss=0.1502, lr=0.002578, batch_cost=0.9400, reader_cost=0.0001 | ETA 04:37:54 2020-12-16 05:56:45 [INFO] [TRAIN] epoch=168, iter=62270/80000, loss=0.1668, lr=0.002577, batch_cost=1.3819, reader_cost=0.0002 | ETA 06:48:21 2020-12-16 05:56:57 [INFO] [TRAIN] epoch=168, iter=62280/80000, loss=0.1907, lr=0.002575, batch_cost=1.2013, reader_cost=0.0028 | ETA 05:54:46 2020-12-16 05:57:11 [INFO] [TRAIN] epoch=168, iter=62290/80000, loss=0.1114, lr=0.002574, batch_cost=1.3054, reader_cost=0.0034 | ETA 06:25:18 2020-12-16 05:57:22 [INFO] [TRAIN] epoch=168, iter=62300/80000, loss=0.1237, lr=0.002573, batch_cost=1.1144, reader_cost=0.0001 | ETA 05:28:44 2020-12-16 05:57:30 [INFO] [TRAIN] epoch=168, iter=62310/80000, loss=0.1436, lr=0.002572, batch_cost=0.8177, reader_cost=0.0001 | ETA 04:01:05 2020-12-16 05:57:38 [INFO] [TRAIN] epoch=168, iter=62320/80000, loss=0.1199, lr=0.002570, batch_cost=0.8246, reader_cost=0.0001 | ETA 04:02:59 2020-12-16 05:57:46 [INFO] [TRAIN] epoch=168, iter=62330/80000, loss=0.1645, lr=0.002569, batch_cost=0.8342, reader_cost=0.0001 | ETA 04:05:40 2020-12-16 05:57:55 [INFO] [TRAIN] epoch=168, iter=62340/80000, loss=0.2056, lr=0.002568, batch_cost=0.8169, reader_cost=0.0001 | ETA 04:00:25 2020-12-16 05:58:05 [INFO] [TRAIN] epoch=168, iter=62350/80000, loss=0.1290, lr=0.002566, batch_cost=1.0157, reader_cost=0.0001 | ETA 04:58:47 2020-12-16 05:58:18 [INFO] [TRAIN] epoch=168, iter=62360/80000, loss=0.1632, lr=0.002565, batch_cost=1.3474, reader_cost=0.0002 | ETA 06:36:07 2020-12-16 05:58:32 [INFO] [TRAIN] epoch=168, iter=62370/80000, loss=0.1728, lr=0.002564, batch_cost=1.3724, reader_cost=0.0009 | ETA 06:43:16 2020-12-16 05:58:45 [INFO] [TRAIN] epoch=168, iter=62380/80000, loss=0.1418, lr=0.002562, batch_cost=1.3101, reader_cost=0.0018 | ETA 06:24:44 2020-12-16 05:58:58 [INFO] [TRAIN] epoch=168, iter=62390/80000, loss=0.1954, lr=0.002561, batch_cost=1.3099, reader_cost=0.0035 | ETA 06:24:26 2020-12-16 05:59:11 [INFO] [TRAIN] epoch=168, iter=62400/80000, loss=0.1456, lr=0.002560, batch_cost=1.2819, reader_cost=0.0009 | ETA 06:16:00 2020-12-16 05:59:23 [INFO] [TRAIN] epoch=168, iter=62410/80000, loss=0.1625, lr=0.002558, batch_cost=1.2343, reader_cost=0.0001 | ETA 06:01:51 2020-12-16 05:59:36 [INFO] [TRAIN] epoch=168, iter=62420/80000, loss=0.1389, lr=0.002557, batch_cost=1.2631, reader_cost=0.0001 | ETA 06:10:04 2020-12-16 05:59:48 [INFO] [TRAIN] epoch=168, iter=62430/80000, loss=0.1536, lr=0.002556, batch_cost=1.2527, reader_cost=0.0001 | ETA 06:06:49 2020-12-16 06:00:02 [INFO] [TRAIN] epoch=168, iter=62440/80000, loss=0.1176, lr=0.002555, batch_cost=1.3266, reader_cost=0.0002 | ETA 06:28:15 2020-12-16 06:00:14 [INFO] [TRAIN] epoch=168, iter=62450/80000, loss=0.1833, lr=0.002553, batch_cost=1.1770, reader_cost=0.0001 | ETA 05:44:16 2020-12-16 06:00:26 [INFO] [TRAIN] epoch=168, iter=62460/80000, loss=0.1199, lr=0.002552, batch_cost=1.2004, reader_cost=0.0002 | ETA 05:50:55 2020-12-16 06:00:38 [INFO] [TRAIN] epoch=168, iter=62470/80000, loss=0.1520, lr=0.002551, batch_cost=1.2959, reader_cost=0.0037 | ETA 06:18:37 2020-12-16 06:00:51 [INFO] [TRAIN] epoch=168, iter=62480/80000, loss=0.1101, lr=0.002549, batch_cost=1.2680, reader_cost=0.0002 | ETA 06:10:15 2020-12-16 06:01:03 [INFO] [TRAIN] epoch=168, iter=62490/80000, loss=0.1292, lr=0.002548, batch_cost=1.1836, reader_cost=0.0023 | ETA 05:45:24 2020-12-16 06:01:14 [INFO] [TRAIN] epoch=169, iter=62500/80000, loss=0.1498, lr=0.002547, batch_cost=1.0515, reader_cost=0.0609 | ETA 05:06:42 2020-12-16 06:01:24 [INFO] [TRAIN] epoch=169, iter=62510/80000, loss=0.1269, lr=0.002545, batch_cost=1.0836, reader_cost=0.0007 | ETA 05:15:51 2020-12-16 06:01:35 [INFO] [TRAIN] epoch=169, iter=62520/80000, loss=0.1179, lr=0.002544, batch_cost=1.0275, reader_cost=0.0001 | ETA 04:59:20 2020-12-16 06:01:43 [INFO] [TRAIN] epoch=169, iter=62530/80000, loss=0.1592, lr=0.002543, batch_cost=0.8422, reader_cost=0.0001 | ETA 04:05:12 2020-12-16 06:01:52 [INFO] [TRAIN] epoch=169, iter=62540/80000, loss=0.1695, lr=0.002541, batch_cost=0.8733, reader_cost=0.0001 | ETA 04:14:08 2020-12-16 06:02:03 [INFO] [TRAIN] epoch=169, iter=62550/80000, loss=0.1823, lr=0.002540, batch_cost=1.1059, reader_cost=0.0001 | ETA 05:21:37 2020-12-16 06:02:16 [INFO] [TRAIN] epoch=169, iter=62560/80000, loss=0.1291, lr=0.002539, batch_cost=1.2949, reader_cost=0.0032 | ETA 06:16:23 2020-12-16 06:02:29 [INFO] [TRAIN] epoch=169, iter=62570/80000, loss=0.1319, lr=0.002538, batch_cost=1.2945, reader_cost=0.0028 | ETA 06:16:02 2020-12-16 06:02:41 [INFO] [TRAIN] epoch=169, iter=62580/80000, loss=0.1995, lr=0.002536, batch_cost=1.2541, reader_cost=0.0023 | ETA 06:04:07 2020-12-16 06:02:54 [INFO] [TRAIN] epoch=169, iter=62590/80000, loss=0.1149, lr=0.002535, batch_cost=1.2713, reader_cost=0.0026 | ETA 06:08:53 2020-12-16 06:03:07 [INFO] [TRAIN] epoch=169, iter=62600/80000, loss=0.1524, lr=0.002534, batch_cost=1.2582, reader_cost=0.0025 | ETA 06:04:51 2020-12-16 06:03:19 [INFO] [TRAIN] epoch=169, iter=62610/80000, loss=0.1380, lr=0.002532, batch_cost=1.1942, reader_cost=0.0021 | ETA 05:46:06 2020-12-16 06:03:31 [INFO] [TRAIN] epoch=169, iter=62620/80000, loss=0.1607, lr=0.002531, batch_cost=1.2435, reader_cost=0.0001 | ETA 06:00:11 2020-12-16 06:03:44 [INFO] [TRAIN] epoch=169, iter=62630/80000, loss=0.1639, lr=0.002530, batch_cost=1.3503, reader_cost=0.0002 | ETA 06:30:54 2020-12-16 06:03:56 [INFO] [TRAIN] epoch=169, iter=62640/80000, loss=0.1495, lr=0.002528, batch_cost=1.1958, reader_cost=0.0002 | ETA 05:45:58 2020-12-16 06:04:08 [INFO] [TRAIN] epoch=169, iter=62650/80000, loss=0.1469, lr=0.002527, batch_cost=1.1899, reader_cost=0.0005 | ETA 05:44:05 2020-12-16 06:04:21 [INFO] [TRAIN] epoch=169, iter=62660/80000, loss=0.1187, lr=0.002526, batch_cost=1.2520, reader_cost=0.0006 | ETA 06:01:49 2020-12-16 06:04:32 [INFO] [TRAIN] epoch=169, iter=62670/80000, loss=0.1957, lr=0.002524, batch_cost=1.1568, reader_cost=0.0009 | ETA 05:34:07 2020-12-16 06:04:46 [INFO] [TRAIN] epoch=169, iter=62680/80000, loss=0.1494, lr=0.002523, batch_cost=1.3633, reader_cost=0.0001 | ETA 06:33:32 2020-12-16 06:04:58 [INFO] [TRAIN] epoch=169, iter=62690/80000, loss=0.1524, lr=0.002522, batch_cost=1.1523, reader_cost=0.0009 | ETA 05:32:26 2020-12-16 06:05:10 [INFO] [TRAIN] epoch=169, iter=62700/80000, loss=0.1310, lr=0.002520, batch_cost=1.2694, reader_cost=0.0001 | ETA 06:05:59 2020-12-16 06:05:23 [INFO] [TRAIN] epoch=169, iter=62710/80000, loss=0.1401, lr=0.002519, batch_cost=1.2230, reader_cost=0.0030 | ETA 05:52:25 2020-12-16 06:05:35 [INFO] [TRAIN] epoch=169, iter=62720/80000, loss=0.1309, lr=0.002518, batch_cost=1.2302, reader_cost=0.0001 | ETA 05:54:17 2020-12-16 06:05:46 [INFO] [TRAIN] epoch=169, iter=62730/80000, loss=0.1233, lr=0.002517, batch_cost=1.1622, reader_cost=0.0018 | ETA 05:34:31 2020-12-16 06:05:59 [INFO] [TRAIN] epoch=169, iter=62740/80000, loss=0.1402, lr=0.002515, batch_cost=1.2360, reader_cost=0.0010 | ETA 05:55:33 2020-12-16 06:06:11 [INFO] [TRAIN] epoch=169, iter=62750/80000, loss=0.1229, lr=0.002514, batch_cost=1.1972, reader_cost=0.0002 | ETA 05:44:12 2020-12-16 06:06:24 [INFO] [TRAIN] epoch=169, iter=62760/80000, loss=0.1578, lr=0.002513, batch_cost=1.3088, reader_cost=0.0001 | ETA 06:16:03 2020-12-16 06:06:32 [INFO] [TRAIN] epoch=169, iter=62770/80000, loss=0.1406, lr=0.002511, batch_cost=0.8329, reader_cost=0.0001 | ETA 03:59:10 2020-12-16 06:06:41 [INFO] [TRAIN] epoch=169, iter=62780/80000, loss=0.1420, lr=0.002510, batch_cost=0.8504, reader_cost=0.0001 | ETA 04:04:03 2020-12-16 06:06:50 [INFO] [TRAIN] epoch=169, iter=62790/80000, loss=0.1665, lr=0.002509, batch_cost=0.8927, reader_cost=0.0001 | ETA 04:16:03 2020-12-16 06:07:01 [INFO] [TRAIN] epoch=169, iter=62800/80000, loss=0.2333, lr=0.002507, batch_cost=1.1117, reader_cost=0.0001 | ETA 05:18:40 2020-12-16 06:07:14 [INFO] [TRAIN] epoch=169, iter=62810/80000, loss=0.1290, lr=0.002506, batch_cost=1.2827, reader_cost=0.0002 | ETA 06:07:30 2020-12-16 06:07:25 [INFO] [TRAIN] epoch=169, iter=62820/80000, loss=0.1295, lr=0.002505, batch_cost=1.1257, reader_cost=0.0029 | ETA 05:22:18 2020-12-16 06:07:38 [INFO] [TRAIN] epoch=169, iter=62830/80000, loss=0.1364, lr=0.002503, batch_cost=1.2940, reader_cost=0.0002 | ETA 06:10:18 2020-12-16 06:07:51 [INFO] [TRAIN] epoch=169, iter=62840/80000, loss=0.1611, lr=0.002502, batch_cost=1.3320, reader_cost=0.0011 | ETA 06:20:56 2020-12-16 06:08:03 [INFO] [TRAIN] epoch=169, iter=62850/80000, loss=0.1554, lr=0.002501, batch_cost=1.2037, reader_cost=0.0016 | ETA 05:44:04 2020-12-16 06:08:15 [INFO] [TRAIN] epoch=169, iter=62860/80000, loss=0.1391, lr=0.002499, batch_cost=1.2139, reader_cost=0.0002 | ETA 05:46:45 2020-12-16 06:08:27 [INFO] [TRAIN] epoch=170, iter=62870/80000, loss=0.1432, lr=0.002498, batch_cost=1.2116, reader_cost=0.0795 | ETA 05:45:55 2020-12-16 06:08:40 [INFO] [TRAIN] epoch=170, iter=62880/80000, loss=0.1257, lr=0.002497, batch_cost=1.2659, reader_cost=0.0001 | ETA 06:01:11 2020-12-16 06:08:52 [INFO] [TRAIN] epoch=170, iter=62890/80000, loss=0.1393, lr=0.002496, batch_cost=1.1787, reader_cost=0.0040 | ETA 05:36:08 2020-12-16 06:09:05 [INFO] [TRAIN] epoch=170, iter=62900/80000, loss=0.1335, lr=0.002494, batch_cost=1.2998, reader_cost=0.0009 | ETA 06:10:25 2020-12-16 06:09:17 [INFO] [TRAIN] epoch=170, iter=62910/80000, loss=0.1993, lr=0.002493, batch_cost=1.2175, reader_cost=0.0001 | ETA 05:46:46 2020-12-16 06:09:29 [INFO] [TRAIN] epoch=170, iter=62920/80000, loss=0.1354, lr=0.002492, batch_cost=1.1847, reader_cost=0.0001 | ETA 05:37:14 2020-12-16 06:09:42 [INFO] [TRAIN] epoch=170, iter=62930/80000, loss=0.1669, lr=0.002490, batch_cost=1.2771, reader_cost=0.0001 | ETA 06:03:20 2020-12-16 06:09:54 [INFO] [TRAIN] epoch=170, iter=62940/80000, loss=0.1547, lr=0.002489, batch_cost=1.2211, reader_cost=0.0001 | ETA 05:47:11 2020-12-16 06:10:06 [INFO] [TRAIN] epoch=170, iter=62950/80000, loss=0.1359, lr=0.002488, batch_cost=1.2319, reader_cost=0.0023 | ETA 05:50:03 2020-12-16 06:10:18 [INFO] [TRAIN] epoch=170, iter=62960/80000, loss=0.1802, lr=0.002486, batch_cost=1.2222, reader_cost=0.0014 | ETA 05:47:06 2020-12-16 06:10:31 [INFO] [TRAIN] epoch=170, iter=62970/80000, loss=0.1244, lr=0.002485, batch_cost=1.2851, reader_cost=0.0002 | ETA 06:04:44 2020-12-16 06:10:44 [INFO] [TRAIN] epoch=170, iter=62980/80000, loss=0.1501, lr=0.002484, batch_cost=1.2662, reader_cost=0.0038 | ETA 05:59:10 2020-12-16 06:10:56 [INFO] [TRAIN] epoch=170, iter=62990/80000, loss=0.1449, lr=0.002482, batch_cost=1.1942, reader_cost=0.0022 | ETA 05:38:32 2020-12-16 06:11:07 [INFO] [TRAIN] epoch=170, iter=63000/80000, loss=0.1270, lr=0.002481, batch_cost=1.1619, reader_cost=0.0020 | ETA 05:29:12 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 06:11:08 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 06:11:59 [INFO] [EVAL] #Images=500 mIoU=0.7925 Acc=0.9616 Kappa=0.9502 2020-12-16 06:11:59 [INFO] [EVAL] Class IoU: [0.982 0.8535 0.9284 0.5754 0.6253 0.6099 0.7115 0.7815 0.9239 0.6532 0.9484 0.8171 0.6324 0.9526 0.8468 0.9148 0.845 0.6786 0.7763] 2020-12-16 06:11:59 [INFO] [EVAL] Class Acc: [0.9927 0.9142 0.9604 0.8356 0.8024 0.7973 0.8234 0.897 0.9517 0.8619 0.9692 0.8777 0.7549 0.9737 0.9088 0.9525 0.926 0.859 0.8696] 2020-12-16 06:12:05 [INFO] [EVAL] The model with the best validation mIoU (0.7944) was saved at iter 62000. 2020-12-16 06:12:16 [INFO] [TRAIN] epoch=170, iter=63010/80000, loss=0.1451, lr=0.002480, batch_cost=1.0856, reader_cost=0.0006 | ETA 05:07:24 2020-12-16 06:12:28 [INFO] [TRAIN] epoch=170, iter=63020/80000, loss=0.1987, lr=0.002478, batch_cost=1.2568, reader_cost=0.0037 | ETA 05:55:40 2020-12-16 06:12:41 [INFO] [TRAIN] epoch=170, iter=63030/80000, loss=0.1349, lr=0.002477, batch_cost=1.2320, reader_cost=0.0003 | ETA 05:48:26 2020-12-16 06:12:53 [INFO] [TRAIN] epoch=170, iter=63040/80000, loss=0.0963, lr=0.002476, batch_cost=1.1853, reader_cost=0.0035 | ETA 05:35:01 2020-12-16 06:13:05 [INFO] [TRAIN] epoch=170, iter=63050/80000, loss=0.1543, lr=0.002475, batch_cost=1.1928, reader_cost=0.0022 | ETA 05:36:58 2020-12-16 06:13:17 [INFO] [TRAIN] epoch=170, iter=63060/80000, loss=0.1470, lr=0.002473, batch_cost=1.1995, reader_cost=0.0002 | ETA 05:38:40 2020-12-16 06:13:28 [INFO] [TRAIN] epoch=170, iter=63070/80000, loss=0.1454, lr=0.002472, batch_cost=1.1688, reader_cost=0.0001 | ETA 05:29:47 2020-12-16 06:13:41 [INFO] [TRAIN] epoch=170, iter=63080/80000, loss=0.1208, lr=0.002471, batch_cost=1.3282, reader_cost=0.0009 | ETA 06:14:33 2020-12-16 06:13:54 [INFO] [TRAIN] epoch=170, iter=63090/80000, loss=0.1397, lr=0.002469, batch_cost=1.2129, reader_cost=0.0008 | ETA 05:41:50 2020-12-16 06:14:07 [INFO] [TRAIN] epoch=170, iter=63100/80000, loss=0.1602, lr=0.002468, batch_cost=1.2984, reader_cost=0.0005 | ETA 06:05:42 2020-12-16 06:14:19 [INFO] [TRAIN] epoch=170, iter=63110/80000, loss=0.1435, lr=0.002467, batch_cost=1.2499, reader_cost=0.0005 | ETA 05:51:51 2020-12-16 06:14:31 [INFO] [TRAIN] epoch=170, iter=63120/80000, loss=0.1400, lr=0.002465, batch_cost=1.2347, reader_cost=0.0001 | ETA 05:47:21 2020-12-16 06:14:44 [INFO] [TRAIN] epoch=170, iter=63130/80000, loss=0.1068, lr=0.002464, batch_cost=1.2363, reader_cost=0.0003 | ETA 05:47:36 2020-12-16 06:14:55 [INFO] [TRAIN] epoch=170, iter=63140/80000, loss=0.1318, lr=0.002463, batch_cost=1.1210, reader_cost=0.0001 | ETA 05:15:00 2020-12-16 06:15:09 [INFO] [TRAIN] epoch=170, iter=63150/80000, loss=0.1598, lr=0.002461, batch_cost=1.3587, reader_cost=0.0002 | ETA 06:21:34 2020-12-16 06:15:20 [INFO] [TRAIN] epoch=170, iter=63160/80000, loss=0.1768, lr=0.002460, batch_cost=1.1515, reader_cost=0.0025 | ETA 05:23:11 2020-12-16 06:15:32 [INFO] [TRAIN] epoch=170, iter=63170/80000, loss=0.1263, lr=0.002459, batch_cost=1.2297, reader_cost=0.0017 | ETA 05:44:56 2020-12-16 06:15:44 [INFO] [TRAIN] epoch=170, iter=63180/80000, loss=0.1356, lr=0.002457, batch_cost=1.1798, reader_cost=0.0002 | ETA 05:30:44 2020-12-16 06:15:58 [INFO] [TRAIN] epoch=170, iter=63190/80000, loss=0.1444, lr=0.002456, batch_cost=1.3797, reader_cost=0.0001 | ETA 06:26:32 2020-12-16 06:16:11 [INFO] [TRAIN] epoch=170, iter=63200/80000, loss=0.1437, lr=0.002455, batch_cost=1.2671, reader_cost=0.0014 | ETA 05:54:47 2020-12-16 06:16:21 [INFO] [TRAIN] epoch=170, iter=63210/80000, loss=0.1522, lr=0.002454, batch_cost=1.0657, reader_cost=0.0029 | ETA 04:58:13 2020-12-16 06:16:34 [INFO] [TRAIN] epoch=170, iter=63220/80000, loss=0.1192, lr=0.002452, batch_cost=1.2474, reader_cost=0.0057 | ETA 05:48:51 2020-12-16 06:16:44 [INFO] [TRAIN] epoch=170, iter=63230/80000, loss=0.1155, lr=0.002451, batch_cost=1.0186, reader_cost=0.0002 | ETA 04:44:42 2020-12-16 06:16:52 [INFO] [TRAIN] epoch=170, iter=63240/80000, loss=0.1365, lr=0.002450, batch_cost=0.7784, reader_cost=0.0001 | ETA 03:37:26 2020-12-16 06:17:02 [INFO] [TRAIN] epoch=171, iter=63250/80000, loss=0.1685, lr=0.002448, batch_cost=0.9752, reader_cost=0.0439 | ETA 04:32:13 2020-12-16 06:17:11 [INFO] [TRAIN] epoch=171, iter=63260/80000, loss=0.1098, lr=0.002447, batch_cost=0.9926, reader_cost=0.0006 | ETA 04:36:55 2020-12-16 06:17:24 [INFO] [TRAIN] epoch=171, iter=63270/80000, loss=0.1219, lr=0.002446, batch_cost=1.2484, reader_cost=0.0001 | ETA 05:48:05 2020-12-16 06:17:35 [INFO] [TRAIN] epoch=171, iter=63280/80000, loss=0.1424, lr=0.002444, batch_cost=1.1355, reader_cost=0.0048 | ETA 05:16:25 2020-12-16 06:17:48 [INFO] [TRAIN] epoch=171, iter=63290/80000, loss=0.1683, lr=0.002443, batch_cost=1.2375, reader_cost=0.0025 | ETA 05:44:39 2020-12-16 06:18:00 [INFO] [TRAIN] epoch=171, iter=63300/80000, loss=0.1246, lr=0.002442, batch_cost=1.2083, reader_cost=0.0028 | ETA 05:36:19 2020-12-16 06:18:12 [INFO] [TRAIN] epoch=171, iter=63310/80000, loss=0.1449, lr=0.002440, batch_cost=1.2153, reader_cost=0.0006 | ETA 05:38:03 2020-12-16 06:18:25 [INFO] [TRAIN] epoch=171, iter=63320/80000, loss=0.1230, lr=0.002439, batch_cost=1.3225, reader_cost=0.0018 | ETA 06:07:39 2020-12-16 06:18:38 [INFO] [TRAIN] epoch=171, iter=63330/80000, loss=0.1463, lr=0.002438, batch_cost=1.2355, reader_cost=0.0002 | ETA 05:43:15 2020-12-16 06:18:50 [INFO] [TRAIN] epoch=171, iter=63340/80000, loss=0.2123, lr=0.002436, batch_cost=1.2793, reader_cost=0.0017 | ETA 05:55:13 2020-12-16 06:19:03 [INFO] [TRAIN] epoch=171, iter=63350/80000, loss=0.1438, lr=0.002435, batch_cost=1.2512, reader_cost=0.0026 | ETA 05:47:12 2020-12-16 06:19:16 [INFO] [TRAIN] epoch=171, iter=63360/80000, loss=0.1607, lr=0.002434, batch_cost=1.2817, reader_cost=0.0001 | ETA 05:55:27 2020-12-16 06:19:28 [INFO] [TRAIN] epoch=171, iter=63370/80000, loss=0.1993, lr=0.002432, batch_cost=1.2360, reader_cost=0.0023 | ETA 05:42:35 2020-12-16 06:19:39 [INFO] [TRAIN] epoch=171, iter=63380/80000, loss=0.1653, lr=0.002431, batch_cost=1.1381, reader_cost=0.0002 | ETA 05:15:14 2020-12-16 06:19:51 [INFO] [TRAIN] epoch=171, iter=63390/80000, loss=0.1388, lr=0.002430, batch_cost=1.1976, reader_cost=0.0002 | ETA 05:31:32 2020-12-16 06:20:04 [INFO] [TRAIN] epoch=171, iter=63400/80000, loss=0.1494, lr=0.002429, batch_cost=1.2742, reader_cost=0.0014 | ETA 05:52:31 2020-12-16 06:20:18 [INFO] [TRAIN] epoch=171, iter=63410/80000, loss=0.1315, lr=0.002427, batch_cost=1.3487, reader_cost=0.0001 | ETA 06:12:55 2020-12-16 06:20:29 [INFO] [TRAIN] epoch=171, iter=63420/80000, loss=0.1434, lr=0.002426, batch_cost=1.1870, reader_cost=0.0001 | ETA 05:28:00 2020-12-16 06:20:42 [INFO] [TRAIN] epoch=171, iter=63430/80000, loss=0.1100, lr=0.002425, batch_cost=1.2683, reader_cost=0.0052 | ETA 05:50:16 2020-12-16 06:20:54 [INFO] [TRAIN] epoch=171, iter=63440/80000, loss=0.1072, lr=0.002423, batch_cost=1.1692, reader_cost=0.0002 | ETA 05:22:42 2020-12-16 06:21:05 [INFO] [TRAIN] epoch=171, iter=63450/80000, loss=0.1223, lr=0.002422, batch_cost=1.1578, reader_cost=0.0023 | ETA 05:19:21 2020-12-16 06:21:16 [INFO] [TRAIN] epoch=171, iter=63460/80000, loss=0.1414, lr=0.002421, batch_cost=1.1039, reader_cost=0.0028 | ETA 05:04:19 2020-12-16 06:21:29 [INFO] [TRAIN] epoch=171, iter=63470/80000, loss=0.1270, lr=0.002419, batch_cost=1.2434, reader_cost=0.0011 | ETA 05:42:33 2020-12-16 06:21:41 [INFO] [TRAIN] epoch=171, iter=63480/80000, loss=0.1422, lr=0.002418, batch_cost=1.1785, reader_cost=0.0010 | ETA 05:24:28 2020-12-16 06:21:51 [INFO] [TRAIN] epoch=171, iter=63490/80000, loss=0.1311, lr=0.002417, batch_cost=1.0369, reader_cost=0.0023 | ETA 04:45:19 2020-12-16 06:21:59 [INFO] [TRAIN] epoch=171, iter=63500/80000, loss=0.1327, lr=0.002415, batch_cost=0.8133, reader_cost=0.0001 | ETA 03:43:39 2020-12-16 06:22:08 [INFO] [TRAIN] epoch=171, iter=63510/80000, loss=0.1596, lr=0.002414, batch_cost=0.8343, reader_cost=0.0001 | ETA 03:49:18 2020-12-16 06:22:18 [INFO] [TRAIN] epoch=171, iter=63520/80000, loss=0.1240, lr=0.002413, batch_cost=1.0299, reader_cost=0.0002 | ETA 04:42:52 2020-12-16 06:22:31 [INFO] [TRAIN] epoch=171, iter=63530/80000, loss=0.1115, lr=0.002411, batch_cost=1.2715, reader_cost=0.0029 | ETA 05:49:01 2020-12-16 06:22:44 [INFO] [TRAIN] epoch=171, iter=63540/80000, loss=0.0927, lr=0.002410, batch_cost=1.3106, reader_cost=0.0033 | ETA 05:59:32 2020-12-16 06:22:57 [INFO] [TRAIN] epoch=171, iter=63550/80000, loss=0.1161, lr=0.002409, batch_cost=1.3516, reader_cost=0.0044 | ETA 06:10:33 2020-12-16 06:23:10 [INFO] [TRAIN] epoch=171, iter=63560/80000, loss=0.1248, lr=0.002407, batch_cost=1.2616, reader_cost=0.0004 | ETA 05:45:41 2020-12-16 06:23:22 [INFO] [TRAIN] epoch=171, iter=63570/80000, loss=0.1045, lr=0.002406, batch_cost=1.1799, reader_cost=0.0002 | ETA 05:23:06 2020-12-16 06:23:34 [INFO] [TRAIN] epoch=171, iter=63580/80000, loss=0.1294, lr=0.002405, batch_cost=1.2834, reader_cost=0.0009 | ETA 05:51:13 2020-12-16 06:23:46 [INFO] [TRAIN] epoch=171, iter=63590/80000, loss=0.1607, lr=0.002403, batch_cost=1.1222, reader_cost=0.0010 | ETA 05:06:55 2020-12-16 06:23:57 [INFO] [TRAIN] epoch=171, iter=63600/80000, loss=0.1401, lr=0.002402, batch_cost=1.1521, reader_cost=0.0006 | ETA 05:14:55 2020-12-16 06:24:08 [INFO] [TRAIN] epoch=171, iter=63610/80000, loss=0.1315, lr=0.002401, batch_cost=1.1167, reader_cost=0.0016 | ETA 05:05:03 2020-12-16 06:24:22 [INFO] [TRAIN] epoch=172, iter=63620/80000, loss=0.1187, lr=0.002400, batch_cost=1.3510, reader_cost=0.0654 | ETA 06:08:49 2020-12-16 06:24:35 [INFO] [TRAIN] epoch=172, iter=63630/80000, loss=0.2023, lr=0.002398, batch_cost=1.2996, reader_cost=0.0010 | ETA 05:54:34 2020-12-16 06:24:47 [INFO] [TRAIN] epoch=172, iter=63640/80000, loss=0.1869, lr=0.002397, batch_cost=1.2264, reader_cost=0.0002 | ETA 05:34:23 2020-12-16 06:24:59 [INFO] [TRAIN] epoch=172, iter=63650/80000, loss=0.1053, lr=0.002396, batch_cost=1.2245, reader_cost=0.0006 | ETA 05:33:40 2020-12-16 06:25:12 [INFO] [TRAIN] epoch=172, iter=63660/80000, loss=0.1243, lr=0.002394, batch_cost=1.2627, reader_cost=0.0048 | ETA 05:43:53 2020-12-16 06:25:24 [INFO] [TRAIN] epoch=172, iter=63670/80000, loss=0.1528, lr=0.002393, batch_cost=1.2253, reader_cost=0.0002 | ETA 05:33:28 2020-12-16 06:25:33 [INFO] [TRAIN] epoch=172, iter=63680/80000, loss=0.1429, lr=0.002392, batch_cost=0.8268, reader_cost=0.0001 | ETA 03:44:53 2020-12-16 06:25:41 [INFO] [TRAIN] epoch=172, iter=63690/80000, loss=0.1274, lr=0.002390, batch_cost=0.8227, reader_cost=0.0001 | ETA 03:43:38 2020-12-16 06:25:49 [INFO] [TRAIN] epoch=172, iter=63700/80000, loss=0.1505, lr=0.002389, batch_cost=0.8316, reader_cost=0.0001 | ETA 03:45:55 2020-12-16 06:25:57 [INFO] [TRAIN] epoch=172, iter=63710/80000, loss=0.1490, lr=0.002388, batch_cost=0.8220, reader_cost=0.0001 | ETA 03:43:10 2020-12-16 06:26:07 [INFO] [TRAIN] epoch=172, iter=63720/80000, loss=0.1440, lr=0.002386, batch_cost=0.9616, reader_cost=0.0013 | ETA 04:20:55 2020-12-16 06:26:21 [INFO] [TRAIN] epoch=172, iter=63730/80000, loss=0.1890, lr=0.002385, batch_cost=1.4429, reader_cost=0.0014 | ETA 06:31:15 2020-12-16 06:26:36 [INFO] [TRAIN] epoch=172, iter=63740/80000, loss=0.1198, lr=0.002384, batch_cost=1.4309, reader_cost=0.0001 | ETA 06:27:47 2020-12-16 06:26:49 [INFO] [TRAIN] epoch=172, iter=63750/80000, loss=0.1545, lr=0.002382, batch_cost=1.3719, reader_cost=0.0001 | ETA 06:11:33 2020-12-16 06:27:02 [INFO] [TRAIN] epoch=172, iter=63760/80000, loss=0.1882, lr=0.002381, batch_cost=1.2258, reader_cost=0.0013 | ETA 05:31:46 2020-12-16 06:27:14 [INFO] [TRAIN] epoch=172, iter=63770/80000, loss=0.1410, lr=0.002380, batch_cost=1.2338, reader_cost=0.0002 | ETA 05:33:43 2020-12-16 06:27:26 [INFO] [TRAIN] epoch=172, iter=63780/80000, loss=0.1334, lr=0.002378, batch_cost=1.2239, reader_cost=0.0002 | ETA 05:30:51 2020-12-16 06:27:39 [INFO] [TRAIN] epoch=172, iter=63790/80000, loss=0.1224, lr=0.002377, batch_cost=1.2704, reader_cost=0.0001 | ETA 05:43:12 2020-12-16 06:27:50 [INFO] [TRAIN] epoch=172, iter=63800/80000, loss=0.1469, lr=0.002376, batch_cost=1.1553, reader_cost=0.0023 | ETA 05:11:56 2020-12-16 06:28:03 [INFO] [TRAIN] epoch=172, iter=63810/80000, loss=0.1157, lr=0.002374, batch_cost=1.2201, reader_cost=0.0002 | ETA 05:29:12 2020-12-16 06:28:12 [INFO] [TRAIN] epoch=172, iter=63820/80000, loss=0.1774, lr=0.002373, batch_cost=0.9363, reader_cost=0.0003 | ETA 04:12:29 2020-12-16 06:28:20 [INFO] [TRAIN] epoch=172, iter=63830/80000, loss=0.1684, lr=0.002372, batch_cost=0.8382, reader_cost=0.0001 | ETA 03:45:53 2020-12-16 06:28:29 [INFO] [TRAIN] epoch=172, iter=63840/80000, loss=0.1469, lr=0.002371, batch_cost=0.8602, reader_cost=0.0002 | ETA 03:51:40 2020-12-16 06:28:39 [INFO] [TRAIN] epoch=172, iter=63850/80000, loss=0.1636, lr=0.002369, batch_cost=1.0406, reader_cost=0.0001 | ETA 04:40:06 2020-12-16 06:28:52 [INFO] [TRAIN] epoch=172, iter=63860/80000, loss=0.1558, lr=0.002368, batch_cost=1.2337, reader_cost=0.0045 | ETA 05:31:52 2020-12-16 06:29:06 [INFO] [TRAIN] epoch=172, iter=63870/80000, loss=0.1328, lr=0.002367, batch_cost=1.3984, reader_cost=0.0002 | ETA 06:15:55 2020-12-16 06:29:18 [INFO] [TRAIN] epoch=172, iter=63880/80000, loss=0.1152, lr=0.002365, batch_cost=1.2718, reader_cost=0.0031 | ETA 05:41:42 2020-12-16 06:29:31 [INFO] [TRAIN] epoch=172, iter=63890/80000, loss=0.1499, lr=0.002364, batch_cost=1.2981, reader_cost=0.0016 | ETA 05:48:32 2020-12-16 06:29:43 [INFO] [TRAIN] epoch=172, iter=63900/80000, loss=0.1451, lr=0.002363, batch_cost=1.1858, reader_cost=0.0013 | ETA 05:18:12 2020-12-16 06:29:56 [INFO] [TRAIN] epoch=172, iter=63910/80000, loss=0.1313, lr=0.002361, batch_cost=1.2796, reader_cost=0.0016 | ETA 05:43:08 2020-12-16 06:30:09 [INFO] [TRAIN] epoch=172, iter=63920/80000, loss=0.1916, lr=0.002360, batch_cost=1.2730, reader_cost=0.0017 | ETA 05:41:09 2020-12-16 06:30:21 [INFO] [TRAIN] epoch=172, iter=63930/80000, loss=0.1437, lr=0.002359, batch_cost=1.2325, reader_cost=0.0002 | ETA 05:30:06 2020-12-16 06:30:32 [INFO] [TRAIN] epoch=172, iter=63940/80000, loss=0.1525, lr=0.002357, batch_cost=1.1213, reader_cost=0.0002 | ETA 05:00:07 2020-12-16 06:30:44 [INFO] [TRAIN] epoch=172, iter=63950/80000, loss=0.1549, lr=0.002356, batch_cost=1.1550, reader_cost=0.0042 | ETA 05:08:57 2020-12-16 06:30:57 [INFO] [TRAIN] epoch=172, iter=63960/80000, loss=0.1440, lr=0.002355, batch_cost=1.3010, reader_cost=0.0001 | ETA 05:47:47 2020-12-16 06:31:10 [INFO] [TRAIN] epoch=172, iter=63970/80000, loss=0.1515, lr=0.002353, batch_cost=1.3322, reader_cost=0.0005 | ETA 05:55:54 2020-12-16 06:31:23 [INFO] [TRAIN] epoch=172, iter=63980/80000, loss=0.1504, lr=0.002352, batch_cost=1.2728, reader_cost=0.0021 | ETA 05:39:49 2020-12-16 06:31:35 [INFO] [TRAIN] epoch=173, iter=63990/80000, loss=0.1332, lr=0.002351, batch_cost=1.1783, reader_cost=0.0637 | ETA 05:14:24 2020-12-16 06:31:47 [INFO] [TRAIN] epoch=173, iter=64000/80000, loss=0.1556, lr=0.002349, batch_cost=1.2628, reader_cost=0.0010 | ETA 05:36:45 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 06:31:47 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 06:32:41 [INFO] [EVAL] #Images=500 mIoU=0.7960 Acc=0.9622 Kappa=0.9509 2020-12-16 06:32:41 [INFO] [EVAL] Class IoU: [0.9825 0.8583 0.9273 0.5968 0.6294 0.6169 0.7125 0.7835 0.9248 0.6747 0.9483 0.8219 0.6445 0.9526 0.8539 0.9081 0.8274 0.6844 0.7756] 2020-12-16 06:32:41 [INFO] [EVAL] Class Acc: [0.9925 0.9236 0.9588 0.8617 0.8182 0.7846 0.8395 0.9132 0.9527 0.849 0.973 0.8959 0.7634 0.9711 0.9382 0.9474 0.9521 0.837 0.855 ] 2020-12-16 06:32:53 [INFO] [EVAL] The model with the best validation mIoU (0.7960) was saved at iter 64000. 2020-12-16 06:33:06 [INFO] [TRAIN] epoch=173, iter=64010/80000, loss=0.1204, lr=0.002348, batch_cost=1.2533, reader_cost=0.0005 | ETA 05:33:59 2020-12-16 06:33:18 [INFO] [TRAIN] epoch=173, iter=64020/80000, loss=0.1250, lr=0.002347, batch_cost=1.1839, reader_cost=0.0038 | ETA 05:15:18 2020-12-16 06:33:30 [INFO] [TRAIN] epoch=173, iter=64030/80000, loss=0.1467, lr=0.002345, batch_cost=1.2027, reader_cost=0.0013 | ETA 05:20:07 2020-12-16 06:33:42 [INFO] [TRAIN] epoch=173, iter=64040/80000, loss=0.1545, lr=0.002344, batch_cost=1.1942, reader_cost=0.0009 | ETA 05:17:39 2020-12-16 06:33:54 [INFO] [TRAIN] epoch=173, iter=64050/80000, loss=0.1515, lr=0.002343, batch_cost=1.2390, reader_cost=0.0017 | ETA 05:29:21 2020-12-16 06:34:05 [INFO] [TRAIN] epoch=173, iter=64060/80000, loss=0.1536, lr=0.002341, batch_cost=1.0656, reader_cost=0.0001 | ETA 04:43:05 2020-12-16 06:34:13 [INFO] [TRAIN] epoch=173, iter=64070/80000, loss=0.1453, lr=0.002340, batch_cost=0.8512, reader_cost=0.0001 | ETA 03:45:59 2020-12-16 06:34:22 [INFO] [TRAIN] epoch=173, iter=64080/80000, loss=0.1759, lr=0.002339, batch_cost=0.8492, reader_cost=0.0001 | ETA 03:45:19 2020-12-16 06:34:32 [INFO] [TRAIN] epoch=173, iter=64090/80000, loss=0.1299, lr=0.002337, batch_cost=1.0505, reader_cost=0.0011 | ETA 04:38:32 2020-12-16 06:34:46 [INFO] [TRAIN] epoch=173, iter=64100/80000, loss=0.1387, lr=0.002336, batch_cost=1.4155, reader_cost=0.0030 | ETA 06:15:06 2020-12-16 06:35:00 [INFO] [TRAIN] epoch=173, iter=64110/80000, loss=0.1356, lr=0.002335, batch_cost=1.3022, reader_cost=0.0008 | ETA 05:44:52 2020-12-16 06:35:12 [INFO] [TRAIN] epoch=173, iter=64120/80000, loss=0.1381, lr=0.002334, batch_cost=1.2679, reader_cost=0.0002 | ETA 05:35:34 2020-12-16 06:35:24 [INFO] [TRAIN] epoch=173, iter=64130/80000, loss=0.1047, lr=0.002332, batch_cost=1.2210, reader_cost=0.0018 | ETA 05:22:56 2020-12-16 06:35:37 [INFO] [TRAIN] epoch=173, iter=64140/80000, loss=0.1473, lr=0.002331, batch_cost=1.2177, reader_cost=0.0033 | ETA 05:21:53 2020-12-16 06:35:48 [INFO] [TRAIN] epoch=173, iter=64150/80000, loss=0.1537, lr=0.002330, batch_cost=1.1814, reader_cost=0.0025 | ETA 05:12:05 2020-12-16 06:36:01 [INFO] [TRAIN] epoch=173, iter=64160/80000, loss=0.1181, lr=0.002328, batch_cost=1.2139, reader_cost=0.0014 | ETA 05:20:28 2020-12-16 06:36:12 [INFO] [TRAIN] epoch=173, iter=64170/80000, loss=0.1218, lr=0.002327, batch_cost=1.1678, reader_cost=0.0001 | ETA 05:08:05 2020-12-16 06:36:25 [INFO] [TRAIN] epoch=173, iter=64180/80000, loss=0.1431, lr=0.002326, batch_cost=1.2602, reader_cost=0.0008 | ETA 05:32:16 2020-12-16 06:36:37 [INFO] [TRAIN] epoch=173, iter=64190/80000, loss=0.1147, lr=0.002324, batch_cost=1.2473, reader_cost=0.0002 | ETA 05:28:39 2020-12-16 06:36:50 [INFO] [TRAIN] epoch=173, iter=64200/80000, loss=0.1209, lr=0.002323, batch_cost=1.2816, reader_cost=0.0007 | ETA 05:37:28 2020-12-16 06:37:03 [INFO] [TRAIN] epoch=173, iter=64210/80000, loss=0.1345, lr=0.002322, batch_cost=1.2416, reader_cost=0.0003 | ETA 05:26:44 2020-12-16 06:37:15 [INFO] [TRAIN] epoch=173, iter=64220/80000, loss=0.1288, lr=0.002320, batch_cost=1.2273, reader_cost=0.0003 | ETA 05:22:46 2020-12-16 06:37:27 [INFO] [TRAIN] epoch=173, iter=64230/80000, loss=0.1362, lr=0.002319, batch_cost=1.2052, reader_cost=0.0028 | ETA 05:16:45 2020-12-16 06:37:39 [INFO] [TRAIN] epoch=173, iter=64240/80000, loss=0.1487, lr=0.002318, batch_cost=1.2248, reader_cost=0.0035 | ETA 05:21:42 2020-12-16 06:37:52 [INFO] [TRAIN] epoch=173, iter=64250/80000, loss=0.1259, lr=0.002316, batch_cost=1.3070, reader_cost=0.0002 | ETA 05:43:04 2020-12-16 06:38:05 [INFO] [TRAIN] epoch=173, iter=64260/80000, loss=0.1525, lr=0.002315, batch_cost=1.2987, reader_cost=0.0025 | ETA 05:40:41 2020-12-16 06:38:17 [INFO] [TRAIN] epoch=173, iter=64270/80000, loss=0.1411, lr=0.002314, batch_cost=1.1351, reader_cost=0.0017 | ETA 04:57:35 2020-12-16 06:38:28 [INFO] [TRAIN] epoch=173, iter=64280/80000, loss=0.1522, lr=0.002312, batch_cost=1.1845, reader_cost=0.0009 | ETA 05:10:20 2020-12-16 06:38:40 [INFO] [TRAIN] epoch=173, iter=64290/80000, loss=0.1459, lr=0.002311, batch_cost=1.2008, reader_cost=0.0002 | ETA 05:14:25 2020-12-16 06:38:52 [INFO] [TRAIN] epoch=173, iter=64300/80000, loss=0.1261, lr=0.002310, batch_cost=1.2075, reader_cost=0.0001 | ETA 05:15:57 2020-12-16 06:39:05 [INFO] [TRAIN] epoch=173, iter=64310/80000, loss=0.1090, lr=0.002308, batch_cost=1.2511, reader_cost=0.0020 | ETA 05:27:09 2020-12-16 06:39:17 [INFO] [TRAIN] epoch=173, iter=64320/80000, loss=0.1437, lr=0.002307, batch_cost=1.2239, reader_cost=0.0001 | ETA 05:19:50 2020-12-16 06:39:28 [INFO] [TRAIN] epoch=173, iter=64330/80000, loss=0.1540, lr=0.002306, batch_cost=1.1126, reader_cost=0.0001 | ETA 04:50:35 2020-12-16 06:39:41 [INFO] [TRAIN] epoch=173, iter=64340/80000, loss=0.1470, lr=0.002304, batch_cost=1.2384, reader_cost=0.0002 | ETA 05:23:13 2020-12-16 06:39:51 [INFO] [TRAIN] epoch=173, iter=64350/80000, loss=0.1133, lr=0.002303, batch_cost=1.0601, reader_cost=0.0001 | ETA 04:36:30 2020-12-16 06:40:00 [INFO] [TRAIN] epoch=174, iter=64360/80000, loss=0.1513, lr=0.002302, batch_cost=0.9046, reader_cost=0.0631 | ETA 03:55:48 2020-12-16 06:40:09 [INFO] [TRAIN] epoch=174, iter=64370/80000, loss=0.1534, lr=0.002300, batch_cost=0.8662, reader_cost=0.0008 | ETA 03:45:38 2020-12-16 06:40:20 [INFO] [TRAIN] epoch=174, iter=64380/80000, loss=0.1248, lr=0.002299, batch_cost=1.0812, reader_cost=0.0002 | ETA 04:41:28 2020-12-16 06:40:33 [INFO] [TRAIN] epoch=174, iter=64390/80000, loss=0.1305, lr=0.002298, batch_cost=1.3188, reader_cost=0.0002 | ETA 05:43:06 2020-12-16 06:40:47 [INFO] [TRAIN] epoch=174, iter=64400/80000, loss=0.1292, lr=0.002296, batch_cost=1.3809, reader_cost=0.0018 | ETA 05:59:01 2020-12-16 06:41:00 [INFO] [TRAIN] epoch=174, iter=64410/80000, loss=0.1554, lr=0.002295, batch_cost=1.3596, reader_cost=0.0020 | ETA 05:53:15 2020-12-16 06:41:14 [INFO] [TRAIN] epoch=174, iter=64420/80000, loss=0.1292, lr=0.002294, batch_cost=1.3710, reader_cost=0.0025 | ETA 05:55:59 2020-12-16 06:41:26 [INFO] [TRAIN] epoch=174, iter=64430/80000, loss=0.1320, lr=0.002292, batch_cost=1.2022, reader_cost=0.0003 | ETA 05:11:57 2020-12-16 06:41:39 [INFO] [TRAIN] epoch=174, iter=64440/80000, loss=0.1346, lr=0.002291, batch_cost=1.2709, reader_cost=0.0002 | ETA 05:29:35 2020-12-16 06:41:51 [INFO] [TRAIN] epoch=174, iter=64450/80000, loss=0.1133, lr=0.002290, batch_cost=1.1951, reader_cost=0.0042 | ETA 05:09:44 2020-12-16 06:42:04 [INFO] [TRAIN] epoch=174, iter=64460/80000, loss=0.1377, lr=0.002288, batch_cost=1.3144, reader_cost=0.0001 | ETA 05:40:26 2020-12-16 06:42:17 [INFO] [TRAIN] epoch=174, iter=64470/80000, loss=0.1432, lr=0.002287, batch_cost=1.2714, reader_cost=0.0005 | ETA 05:29:05 2020-12-16 06:42:30 [INFO] [TRAIN] epoch=174, iter=64480/80000, loss=0.1250, lr=0.002286, batch_cost=1.3676, reader_cost=0.0006 | ETA 05:53:44 2020-12-16 06:42:43 [INFO] [TRAIN] epoch=174, iter=64490/80000, loss=0.1286, lr=0.002285, batch_cost=1.2886, reader_cost=0.0002 | ETA 05:33:05 2020-12-16 06:42:56 [INFO] [TRAIN] epoch=174, iter=64500/80000, loss=0.1285, lr=0.002283, batch_cost=1.2508, reader_cost=0.0002 | ETA 05:23:07 2020-12-16 06:43:08 [INFO] [TRAIN] epoch=174, iter=64510/80000, loss=0.1612, lr=0.002282, batch_cost=1.2031, reader_cost=0.0048 | ETA 05:10:36 2020-12-16 06:43:19 [INFO] [TRAIN] epoch=174, iter=64520/80000, loss=0.1488, lr=0.002281, batch_cost=1.1623, reader_cost=0.0001 | ETA 04:59:51 2020-12-16 06:43:32 [INFO] [TRAIN] epoch=174, iter=64530/80000, loss=0.1415, lr=0.002279, batch_cost=1.2585, reader_cost=0.0004 | ETA 05:24:28 2020-12-16 06:43:45 [INFO] [TRAIN] epoch=174, iter=64540/80000, loss=0.1415, lr=0.002278, batch_cost=1.2937, reader_cost=0.0012 | ETA 05:33:20 2020-12-16 06:43:58 [INFO] [TRAIN] epoch=174, iter=64550/80000, loss=0.1431, lr=0.002277, batch_cost=1.3467, reader_cost=0.0009 | ETA 05:46:46 2020-12-16 06:44:11 [INFO] [TRAIN] epoch=174, iter=64560/80000, loss=0.1417, lr=0.002275, batch_cost=1.2370, reader_cost=0.0023 | ETA 05:18:18 2020-12-16 06:44:23 [INFO] [TRAIN] epoch=174, iter=64570/80000, loss=0.0965, lr=0.002274, batch_cost=1.2318, reader_cost=0.0034 | ETA 05:16:47 2020-12-16 06:44:36 [INFO] [TRAIN] epoch=174, iter=64580/80000, loss=0.1192, lr=0.002273, batch_cost=1.3057, reader_cost=0.0020 | ETA 05:35:34 2020-12-16 06:44:48 [INFO] [TRAIN] epoch=174, iter=64590/80000, loss=0.1458, lr=0.002271, batch_cost=1.1439, reader_cost=0.0001 | ETA 04:53:47 2020-12-16 06:45:01 [INFO] [TRAIN] epoch=174, iter=64600/80000, loss=0.1315, lr=0.002270, batch_cost=1.3684, reader_cost=0.0028 | ETA 05:51:13 2020-12-16 06:45:15 [INFO] [TRAIN] epoch=174, iter=64610/80000, loss=0.1499, lr=0.002269, batch_cost=1.3891, reader_cost=0.0001 | ETA 05:56:18 2020-12-16 06:45:28 [INFO] [TRAIN] epoch=174, iter=64620/80000, loss=0.1357, lr=0.002267, batch_cost=1.3204, reader_cost=0.0018 | ETA 05:38:27 2020-12-16 06:45:40 [INFO] [TRAIN] epoch=174, iter=64630/80000, loss=0.1317, lr=0.002266, batch_cost=1.1227, reader_cost=0.0003 | ETA 04:47:36 2020-12-16 06:45:48 [INFO] [TRAIN] epoch=174, iter=64640/80000, loss=0.1154, lr=0.002265, batch_cost=0.8410, reader_cost=0.0001 | ETA 03:35:17 2020-12-16 06:45:56 [INFO] [TRAIN] epoch=174, iter=64650/80000, loss=0.1206, lr=0.002263, batch_cost=0.8098, reader_cost=0.0001 | ETA 03:27:10 2020-12-16 06:46:05 [INFO] [TRAIN] epoch=174, iter=64660/80000, loss=0.1287, lr=0.002262, batch_cost=0.9206, reader_cost=0.0003 | ETA 03:55:22 2020-12-16 06:46:18 [INFO] [TRAIN] epoch=174, iter=64670/80000, loss=0.1285, lr=0.002261, batch_cost=1.2597, reader_cost=0.0008 | ETA 05:21:51 2020-12-16 06:46:30 [INFO] [TRAIN] epoch=174, iter=64680/80000, loss=0.1442, lr=0.002259, batch_cost=1.2233, reader_cost=0.0011 | ETA 05:12:21 2020-12-16 06:46:44 [INFO] [TRAIN] epoch=174, iter=64690/80000, loss=0.1821, lr=0.002258, batch_cost=1.3606, reader_cost=0.0025 | ETA 05:47:10 2020-12-16 06:46:55 [INFO] [TRAIN] epoch=174, iter=64700/80000, loss=0.1383, lr=0.002257, batch_cost=1.1195, reader_cost=0.0001 | ETA 04:45:28 2020-12-16 06:47:07 [INFO] [TRAIN] epoch=174, iter=64710/80000, loss=0.1139, lr=0.002255, batch_cost=1.2182, reader_cost=0.0010 | ETA 05:10:26 2020-12-16 06:47:19 [INFO] [TRAIN] epoch=174, iter=64720/80000, loss=0.1169, lr=0.002254, batch_cost=1.2038, reader_cost=0.0020 | ETA 05:06:34 2020-12-16 06:47:30 [INFO] [TRAIN] epoch=175, iter=64730/80000, loss=0.1345, lr=0.002253, batch_cost=1.1251, reader_cost=0.0683 | ETA 04:46:19 2020-12-16 06:47:42 [INFO] [TRAIN] epoch=175, iter=64740/80000, loss=0.1356, lr=0.002251, batch_cost=1.1484, reader_cost=0.0004 | ETA 04:52:04 2020-12-16 06:47:54 [INFO] [TRAIN] epoch=175, iter=64750/80000, loss=0.1012, lr=0.002250, batch_cost=1.2513, reader_cost=0.0014 | ETA 05:18:02 2020-12-16 06:48:05 [INFO] [TRAIN] epoch=175, iter=64760/80000, loss=0.1214, lr=0.002249, batch_cost=1.0866, reader_cost=0.0015 | ETA 04:35:59 2020-12-16 06:48:19 [INFO] [TRAIN] epoch=175, iter=64770/80000, loss=0.1400, lr=0.002247, batch_cost=1.3365, reader_cost=0.0011 | ETA 05:39:14 2020-12-16 06:48:31 [INFO] [TRAIN] epoch=175, iter=64780/80000, loss=0.1428, lr=0.002246, batch_cost=1.2074, reader_cost=0.0044 | ETA 05:06:17 2020-12-16 06:48:44 [INFO] [TRAIN] epoch=175, iter=64790/80000, loss=0.1992, lr=0.002245, batch_cost=1.3010, reader_cost=0.0013 | ETA 05:29:48 2020-12-16 06:48:56 [INFO] [TRAIN] epoch=175, iter=64800/80000, loss=0.1703, lr=0.002243, batch_cost=1.2199, reader_cost=0.0007 | ETA 05:09:02 2020-12-16 06:49:10 [INFO] [TRAIN] epoch=175, iter=64810/80000, loss=0.1425, lr=0.002242, batch_cost=1.3617, reader_cost=0.0001 | ETA 05:44:43 2020-12-16 06:49:22 [INFO] [TRAIN] epoch=175, iter=64820/80000, loss=0.1314, lr=0.002241, batch_cost=1.2075, reader_cost=0.0029 | ETA 05:05:29 2020-12-16 06:49:34 [INFO] [TRAIN] epoch=175, iter=64830/80000, loss=0.2180, lr=0.002239, batch_cost=1.2517, reader_cost=0.0002 | ETA 05:16:28 2020-12-16 06:49:47 [INFO] [TRAIN] epoch=175, iter=64840/80000, loss=0.2481, lr=0.002238, batch_cost=1.2556, reader_cost=0.0025 | ETA 05:17:15 2020-12-16 06:50:00 [INFO] [TRAIN] epoch=175, iter=64850/80000, loss=0.1120, lr=0.002237, batch_cost=1.3515, reader_cost=0.0007 | ETA 05:41:15 2020-12-16 06:50:14 [INFO] [TRAIN] epoch=175, iter=64860/80000, loss=0.1545, lr=0.002235, batch_cost=1.3934, reader_cost=0.0011 | ETA 05:51:35 2020-12-16 06:50:28 [INFO] [TRAIN] epoch=175, iter=64870/80000, loss=0.1411, lr=0.002234, batch_cost=1.3623, reader_cost=0.0030 | ETA 05:43:31 2020-12-16 06:50:42 [INFO] [TRAIN] epoch=175, iter=64880/80000, loss=0.1526, lr=0.002233, batch_cost=1.3706, reader_cost=0.0010 | ETA 05:45:23 2020-12-16 06:50:54 [INFO] [TRAIN] epoch=175, iter=64890/80000, loss=0.1381, lr=0.002231, batch_cost=1.2869, reader_cost=0.0023 | ETA 05:24:05 2020-12-16 06:51:06 [INFO] [TRAIN] epoch=175, iter=64900/80000, loss=0.1542, lr=0.002230, batch_cost=1.1374, reader_cost=0.0030 | ETA 04:46:14 2020-12-16 06:51:18 [INFO] [TRAIN] epoch=175, iter=64910/80000, loss=0.1265, lr=0.002229, batch_cost=1.2254, reader_cost=0.0011 | ETA 05:08:10 2020-12-16 06:51:31 [INFO] [TRAIN] epoch=175, iter=64920/80000, loss=0.0999, lr=0.002227, batch_cost=1.3139, reader_cost=0.0009 | ETA 05:30:14 2020-12-16 06:51:41 [INFO] [TRAIN] epoch=175, iter=64930/80000, loss=0.1648, lr=0.002226, batch_cost=0.9650, reader_cost=0.0001 | ETA 04:02:22 2020-12-16 06:51:49 [INFO] [TRAIN] epoch=175, iter=64940/80000, loss=0.1049, lr=0.002225, batch_cost=0.8490, reader_cost=0.0001 | ETA 03:33:05 2020-12-16 06:51:58 [INFO] [TRAIN] epoch=175, iter=64950/80000, loss=0.1842, lr=0.002223, batch_cost=0.8640, reader_cost=0.0001 | ETA 03:36:43 2020-12-16 06:52:09 [INFO] [TRAIN] epoch=175, iter=64960/80000, loss=0.1009, lr=0.002222, batch_cost=1.0679, reader_cost=0.0003 | ETA 04:27:40 2020-12-16 06:52:21 [INFO] [TRAIN] epoch=175, iter=64970/80000, loss=0.1009, lr=0.002221, batch_cost=1.2447, reader_cost=0.0010 | ETA 05:11:47 2020-12-16 06:52:34 [INFO] [TRAIN] epoch=175, iter=64980/80000, loss=0.1462, lr=0.002219, batch_cost=1.3198, reader_cost=0.0048 | ETA 05:30:23 2020-12-16 06:52:48 [INFO] [TRAIN] epoch=175, iter=64990/80000, loss=0.2040, lr=0.002218, batch_cost=1.3220, reader_cost=0.0020 | ETA 05:30:42 2020-12-16 06:53:01 [INFO] [TRAIN] epoch=175, iter=65000/80000, loss=0.1310, lr=0.002217, batch_cost=1.3699, reader_cost=0.0041 | ETA 05:42:28 aug_eval False scales 1.0 2020-12-16 06:53:01 [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 06:53:53 [INFO] [EVAL] #Images=500 mIoU=0.7916 Acc=0.9615 Kappa=0.9500 2020-12-16 06:53:53 [INFO] [EVAL] Class IoU: [0.9822 0.8562 0.9258 0.6019 0.597 0.6175 0.7121 0.788 0.9229 0.6543 0.9473 0.818 0.646 0.952 0.8533 0.9133 0.8304 0.6493 0.7728] 2020-12-16 06:53:53 [INFO] [EVAL] Class Acc: [0.9913 0.9272 0.9595 0.8736 0.8338 0.7862 0.8247 0.8987 0.9495 0.8502 0.9677 0.8804 0.8029 0.9718 0.9219 0.9691 0.9066 0.8551 0.8488] 2020-12-16 06:54:01 [INFO] [EVAL] The model with the best validation mIoU (0.7960) was saved at iter 64000. 2020-12-16 06:54:13 [INFO] [TRAIN] epoch=175, iter=65010/80000, loss=0.1580, lr=0.002215, batch_cost=1.2283, reader_cost=0.0007 | ETA 05:06:52 2020-12-16 06:54:26 [INFO] [TRAIN] epoch=175, iter=65020/80000, loss=0.1561, lr=0.002214, batch_cost=1.2998, reader_cost=0.0002 | ETA 05:24:30 2020-12-16 06:54:39 [INFO] [TRAIN] epoch=175, iter=65030/80000, loss=0.1366, lr=0.002213, batch_cost=1.2971, reader_cost=0.0002 | ETA 05:23:36 2020-12-16 06:54:52 [INFO] [TRAIN] epoch=175, iter=65040/80000, loss=0.1312, lr=0.002211, batch_cost=1.3108, reader_cost=0.0001 | ETA 05:26:49 2020-12-16 06:55:06 [INFO] [TRAIN] epoch=175, iter=65050/80000, loss=0.1728, lr=0.002210, batch_cost=1.3626, reader_cost=0.0013 | ETA 05:39:30 2020-12-16 06:55:19 [INFO] [TRAIN] epoch=175, iter=65060/80000, loss=0.1030, lr=0.002209, batch_cost=1.3450, reader_cost=0.0014 | ETA 05:34:54 2020-12-16 06:55:32 [INFO] [TRAIN] epoch=175, iter=65070/80000, loss=0.1348, lr=0.002207, batch_cost=1.2840, reader_cost=0.0001 | ETA 05:19:29 2020-12-16 06:55:45 [INFO] [TRAIN] epoch=175, iter=65080/80000, loss=0.1277, lr=0.002206, batch_cost=1.2704, reader_cost=0.0005 | ETA 05:15:54 2020-12-16 06:55:58 [INFO] [TRAIN] epoch=175, iter=65090/80000, loss=0.1455, lr=0.002205, batch_cost=1.3117, reader_cost=0.0002 | ETA 05:25:57 2020-12-16 06:56:08 [INFO] [TRAIN] epoch=175, iter=65100/80000, loss=0.1499, lr=0.002203, batch_cost=1.0313, reader_cost=0.0006 | ETA 04:16:06 2020-12-16 06:56:23 [INFO] [TRAIN] epoch=176, iter=65110/80000, loss=0.1467, lr=0.002202, batch_cost=1.4703, reader_cost=0.1030 | ETA 06:04:52 2020-12-16 06:56:36 [INFO] [TRAIN] epoch=176, iter=65120/80000, loss=0.1131, lr=0.002201, batch_cost=1.2567, reader_cost=0.0001 | ETA 05:11:39 2020-12-16 06:56:48 [INFO] [TRAIN] epoch=176, iter=65130/80000, loss=0.1246, lr=0.002200, batch_cost=1.2790, reader_cost=0.0014 | ETA 05:16:58 2020-12-16 06:57:02 [INFO] [TRAIN] epoch=176, iter=65140/80000, loss=0.1488, lr=0.002198, batch_cost=1.3771, reader_cost=0.0002 | ETA 05:41:02 2020-12-16 06:57:16 [INFO] [TRAIN] epoch=176, iter=65150/80000, loss=0.1595, lr=0.002197, batch_cost=1.3392, reader_cost=0.0050 | ETA 05:31:26 2020-12-16 06:57:30 [INFO] [TRAIN] epoch=176, iter=65160/80000, loss=0.1470, lr=0.002196, batch_cost=1.3954, reader_cost=0.0002 | ETA 05:45:07 2020-12-16 06:57:39 [INFO] [TRAIN] epoch=176, iter=65170/80000, loss=0.1452, lr=0.002194, batch_cost=0.9510, reader_cost=0.0016 | ETA 03:55:02 2020-12-16 06:57:47 [INFO] [TRAIN] epoch=176, iter=65180/80000, loss=0.1051, lr=0.002193, batch_cost=0.8121, reader_cost=0.0001 | ETA 03:20:35 2020-12-16 06:57:56 [INFO] [TRAIN] epoch=176, iter=65190/80000, loss=0.2098, lr=0.002192, batch_cost=0.8459, reader_cost=0.0001 | ETA 03:28:47 2020-12-16 06:58:04 [INFO] [TRAIN] epoch=176, iter=65200/80000, loss=0.1391, lr=0.002190, batch_cost=0.8357, reader_cost=0.0001 | ETA 03:26:07 2020-12-16 06:58:12 [INFO] [TRAIN] epoch=176, iter=65210/80000, loss=0.1887, lr=0.002189, batch_cost=0.8475, reader_cost=0.0001 | ETA 03:28:54 2020-12-16 06:58:21 [INFO] [TRAIN] epoch=176, iter=65220/80000, loss=0.1565, lr=0.002188, batch_cost=0.8876, reader_cost=0.0001 | ETA 03:38:38 2020-12-16 06:58:30 [INFO] [TRAIN] epoch=176, iter=65230/80000, loss=0.1375, lr=0.002186, batch_cost=0.8488, reader_cost=0.0001 | ETA 03:28:57 2020-12-16 06:58:39 [INFO] [TRAIN] epoch=176, iter=65240/80000, loss=0.0983, lr=0.002185, batch_cost=0.9274, reader_cost=0.0009 | ETA 03:48:08 2020-12-16 06:58:52 [INFO] [TRAIN] epoch=176, iter=65250/80000, loss=0.1281, lr=0.002184, batch_cost=1.2810, reader_cost=0.0048 | ETA 05:14:55 2020-12-16 06:59:06 [INFO] [TRAIN] epoch=176, iter=65260/80000, loss=0.1246, lr=0.002182, batch_cost=1.3780, reader_cost=0.0024 | ETA 05:38:31 2020-12-16 06:59:19 [INFO] [TRAIN] epoch=176, iter=65270/80000, loss=0.1286, lr=0.002181, batch_cost=1.2911, reader_cost=0.0002 | ETA 05:16:58 2020-12-16 06:59:33 [INFO] [TRAIN] epoch=176, iter=65280/80000, loss=0.0982, lr=0.002180, batch_cost=1.4748, reader_cost=0.0001 | ETA 06:01:49 2020-12-16 06:59:47 [INFO] [TRAIN] epoch=176, iter=65290/80000, loss=0.1055, lr=0.002178, batch_cost=1.3155, reader_cost=0.0001 | ETA 05:22:30 2020-12-16 07:00:00 [INFO] [TRAIN] epoch=176, iter=65300/80000, loss=0.1356, lr=0.002177, batch_cost=1.3311, reader_cost=0.0008 | ETA 05:26:06 2020-12-16 07:00:14 [INFO] [TRAIN] epoch=176, iter=65310/80000, loss=0.1291, lr=0.002176, batch_cost=1.3929, reader_cost=0.0002 | ETA 05:41:01 2020-12-16 07:00:26 [INFO] [TRAIN] epoch=176, iter=65320/80000, loss=0.1380, lr=0.002174, batch_cost=1.2255, reader_cost=0.0002 | ETA 04:59:49 2020-12-16 07:00:40 [INFO] [TRAIN] epoch=176, iter=65330/80000, loss=0.1341, lr=0.002173, batch_cost=1.3605, reader_cost=0.0007 | ETA 05:32:37 2020-12-16 07:00:53 [INFO] [TRAIN] epoch=176, iter=65340/80000, loss=0.1299, lr=0.002172, batch_cost=1.3077, reader_cost=0.0002 | ETA 05:19:30 2020-12-16 07:01:05 [INFO] [TRAIN] epoch=176, iter=65350/80000, loss=0.1093, lr=0.002170, batch_cost=1.2773, reader_cost=0.0001 | ETA 05:11:51 2020-12-16 07:01:18 [INFO] [TRAIN] epoch=176, iter=65360/80000, loss=0.1575, lr=0.002169, batch_cost=1.2942, reader_cost=0.0002 | ETA 05:15:46 2020-12-16 07:01:31 [INFO] [TRAIN] epoch=176, iter=65370/80000, loss=0.1832, lr=0.002168, batch_cost=1.2374, reader_cost=0.0001 | ETA 05:01:43 2020-12-16 07:01:44 [INFO] [TRAIN] epoch=176, iter=65380/80000, loss=0.1310, lr=0.002166, batch_cost=1.3530, reader_cost=0.0016 | ETA 05:29:40 2020-12-16 07:01:58 [INFO] [TRAIN] epoch=176, iter=65390/80000, loss=0.1380, lr=0.002165, batch_cost=1.4063, reader_cost=0.0001 | ETA 05:42:26 2020-12-16 07:02:12 [INFO] [TRAIN] epoch=176, iter=65400/80000, loss=0.1713, lr=0.002164, batch_cost=1.3956, reader_cost=0.0006 | ETA 05:39:35 2020-12-16 07:02:26 [INFO] [TRAIN] epoch=176, iter=65410/80000, loss=0.0973, lr=0.002162, batch_cost=1.3420, reader_cost=0.0001 | ETA 05:26:20 2020-12-16 07:02:39 [INFO] [TRAIN] epoch=176, iter=65420/80000, loss=0.1424, lr=0.002161, batch_cost=1.3362, reader_cost=0.0009 | ETA 05:24:41 2020-12-16 07:02:52 [INFO] [TRAIN] epoch=176, iter=65430/80000, loss=0.1389, lr=0.002160, batch_cost=1.2931, reader_cost=0.0002 | ETA 05:14:00 2020-12-16 07:03:05 [INFO] [TRAIN] epoch=176, iter=65440/80000, loss=0.0972, lr=0.002158, batch_cost=1.3011, reader_cost=0.0002 | ETA 05:15:43 2020-12-16 07:03:18 [INFO] [TRAIN] epoch=176, iter=65450/80000, loss=0.1511, lr=0.002157, batch_cost=1.2662, reader_cost=0.0011 | ETA 05:07:03 2020-12-16 07:03:31 [INFO] [TRAIN] epoch=176, iter=65460/80000, loss=0.1383, lr=0.002156, batch_cost=1.3244, reader_cost=0.0012 | ETA 05:20:57 2020-12-16 07:03:42 [INFO] [TRAIN] epoch=176, iter=65470/80000, loss=0.1263, lr=0.002154, batch_cost=1.1121, reader_cost=0.0009 | ETA 04:29:18 2020-12-16 07:03:56 [INFO] [TRAIN] epoch=177, iter=65480/80000, loss=0.1187, lr=0.002153, batch_cost=1.3717, reader_cost=0.0909 | ETA 05:31:56 2020-12-16 07:04:08 [INFO] [TRAIN] epoch=177, iter=65490/80000, loss=0.1341, lr=0.002152, batch_cost=1.2114, reader_cost=0.0002 | ETA 04:52:56 2020-12-16 07:04:21 [INFO] [TRAIN] epoch=177, iter=65500/80000, loss=0.1152, lr=0.002150, batch_cost=1.2988, reader_cost=0.0014 | ETA 05:13:53 2020-12-16 07:04:35 [INFO] [TRAIN] epoch=177, iter=65510/80000, loss=0.1181, lr=0.002149, batch_cost=1.3731, reader_cost=0.0014 | ETA 05:31:35 2020-12-16 07:04:43 [INFO] [TRAIN] epoch=177, iter=65520/80000, loss=0.1419, lr=0.002148, batch_cost=0.8375, reader_cost=0.0001 | ETA 03:22:07 2020-12-16 07:04:51 [INFO] [TRAIN] epoch=177, iter=65530/80000, loss=0.1691, lr=0.002146, batch_cost=0.8458, reader_cost=0.0001 | ETA 03:23:58 2020-12-16 07:05:00 [INFO] [TRAIN] epoch=177, iter=65540/80000, loss=0.1666, lr=0.002145, batch_cost=0.9015, reader_cost=0.0001 | ETA 03:37:15 2020-12-16 07:05:12 [INFO] [TRAIN] epoch=177, iter=65550/80000, loss=0.1066, lr=0.002144, batch_cost=1.1469, reader_cost=0.0002 | ETA 04:36:12 2020-12-16 07:05:25 [INFO] [TRAIN] epoch=177, iter=65560/80000, loss=0.1110, lr=0.002142, batch_cost=1.3443, reader_cost=0.0040 | ETA 05:23:32 2020-12-16 07:05:39 [INFO] [TRAIN] epoch=177, iter=65570/80000, loss=0.1662, lr=0.002141, batch_cost=1.3882, reader_cost=0.0002 | ETA 05:33:51 2020-12-16 07:05:52 [INFO] [TRAIN] epoch=177, iter=65580/80000, loss=0.1746, lr=0.002140, batch_cost=1.2927, reader_cost=0.0028 | ETA 05:10:40 2020-12-16 07:06:06 [INFO] [TRAIN] epoch=177, iter=65590/80000, loss=0.1408, lr=0.002138, batch_cost=1.3810, reader_cost=0.0008 | ETA 05:31:40 2020-12-16 07:06:20 [INFO] [TRAIN] epoch=177, iter=65600/80000, loss=0.1268, lr=0.002137, batch_cost=1.3612, reader_cost=0.0011 | ETA 05:26:41 2020-12-16 07:06:33 [INFO] [TRAIN] epoch=177, iter=65610/80000, loss=0.1379, lr=0.002136, batch_cost=1.3350, reader_cost=0.0030 | ETA 05:20:10 2020-12-16 07:06:45 [INFO] [TRAIN] epoch=177, iter=65620/80000, loss=0.1256, lr=0.002134, batch_cost=1.2388, reader_cost=0.0002 | ETA 04:56:54 2020-12-16 07:07:00 [INFO] [TRAIN] epoch=177, iter=65630/80000, loss=0.1427, lr=0.002133, batch_cost=1.4350, reader_cost=0.0002 | ETA 05:43:40 2020-12-16 07:07:15 [INFO] [TRAIN] epoch=177, iter=65640/80000, loss=0.1053, lr=0.002131, batch_cost=1.5136, reader_cost=0.0002 | ETA 06:02:15 2020-12-16 07:07:28 [INFO] [TRAIN] epoch=177, iter=65650/80000, loss=0.1036, lr=0.002130, batch_cost=1.2826, reader_cost=0.0026 | ETA 05:06:45 2020-12-16 07:07:42 [INFO] [TRAIN] epoch=177, iter=65660/80000, loss=0.1249, lr=0.002129, batch_cost=1.3990, reader_cost=0.0056 | ETA 05:34:21 2020-12-16 07:07:55 [INFO] [TRAIN] epoch=177, iter=65670/80000, loss=0.1223, lr=0.002127, batch_cost=1.3323, reader_cost=0.0021 | ETA 05:18:11 2020-12-16 07:08:08 [INFO] [TRAIN] epoch=177, iter=65680/80000, loss=0.1330, lr=0.002126, batch_cost=1.3045, reader_cost=0.0013 | ETA 05:11:20 2020-12-16 07:08:22 [INFO] [TRAIN] epoch=177, iter=65690/80000, loss=0.1485, lr=0.002125, batch_cost=1.3558, reader_cost=0.0024 | ETA 05:23:21 2020-12-16 07:08:33 [INFO] [TRAIN] epoch=177, iter=65700/80000, loss=0.1485, lr=0.002123, batch_cost=1.1790, reader_cost=0.0002 | ETA 04:41:00 2020-12-16 07:08:47 [INFO] [TRAIN] epoch=177, iter=65710/80000, loss=0.1672, lr=0.002122, batch_cost=1.3797, reader_cost=0.0011 | ETA 05:28:35 2020-12-16 07:09:00 [INFO] [TRAIN] epoch=177, iter=65720/80000, loss=0.1614, lr=0.002121, batch_cost=1.2546, reader_cost=0.0032 | ETA 04:58:35 2020-12-16 07:09:12 [INFO] [TRAIN] epoch=177, iter=65730/80000, loss=0.1150, lr=0.002119, batch_cost=1.2308, reader_cost=0.0025 | ETA 04:52:43 2020-12-16 07:09:24 [INFO] [TRAIN] epoch=177, iter=65740/80000, loss=0.1429, lr=0.002118, batch_cost=1.2394, reader_cost=0.0002 | ETA 04:54:34 2020-12-16 07:09:37 [INFO] [TRAIN] epoch=177, iter=65750/80000, loss=0.1591, lr=0.002117, batch_cost=1.2592, reader_cost=0.0030 | ETA 04:59:03 2020-12-16 07:09:50 [INFO] [TRAIN] epoch=177, iter=65760/80000, loss=0.1498, lr=0.002115, batch_cost=1.3113, reader_cost=0.0014 | ETA 05:11:12 2020-12-16 07:10:03 [INFO] [TRAIN] epoch=177, iter=65770/80000, loss=0.1806, lr=0.002114, batch_cost=1.2536, reader_cost=0.0023 | ETA 04:57:18 2020-12-16 07:10:17 [INFO] [TRAIN] epoch=177, iter=65780/80000, loss=0.1165, lr=0.002113, batch_cost=1.4023, reader_cost=0.0035 | ETA 05:32:20 2020-12-16 07:10:31 [INFO] [TRAIN] epoch=177, iter=65790/80000, loss=0.1317, lr=0.002111, batch_cost=1.3771, reader_cost=0.0002 | ETA 05:26:08 2020-12-16 07:10:45 [INFO] [TRAIN] epoch=177, iter=65800/80000, loss=0.1738, lr=0.002110, batch_cost=1.4454, reader_cost=0.0023 | ETA 05:42:05 2020-12-16 07:10:58 [INFO] [TRAIN] epoch=177, iter=65810/80000, loss=0.1641, lr=0.002109, batch_cost=1.3275, reader_cost=0.0026 | ETA 05:13:56 2020-12-16 07:11:10 [INFO] [TRAIN] epoch=177, iter=65820/80000, loss=0.1295, lr=0.002107, batch_cost=1.1871, reader_cost=0.0002 | ETA 04:40:33 2020-12-16 07:11:18 [INFO] [TRAIN] epoch=177, iter=65830/80000, loss=0.1462, lr=0.002106, batch_cost=0.8078, reader_cost=0.0001 | ETA 03:10:47 2020-12-16 07:11:26 [INFO] [TRAIN] epoch=177, iter=65840/80000, loss=0.1843, lr=0.002105, batch_cost=0.8267, reader_cost=0.0001 | ETA 03:15:06 2020-12-16 07:11:37 [INFO] [TRAIN] epoch=178, iter=65850/80000, loss=0.1424, lr=0.002103, batch_cost=1.0330, reader_cost=0.0683 | ETA 04:03:37 2020-12-16 07:11:50 [INFO] [TRAIN] epoch=178, iter=65860/80000, loss=0.1386, lr=0.002102, batch_cost=1.3554, reader_cost=0.0020 | ETA 05:19:25 2020-12-16 07:12:04 [INFO] [TRAIN] epoch=178, iter=65870/80000, loss=0.1479, lr=0.002101, batch_cost=1.3307, reader_cost=0.0006 | ETA 05:13:22 2020-12-16 07:12:18 [INFO] [TRAIN] epoch=178, iter=65880/80000, loss=0.1104, lr=0.002099, batch_cost=1.4005, reader_cost=0.0002 | ETA 05:29:35 2020-12-16 07:12:32 [INFO] [TRAIN] epoch=178, iter=65890/80000, loss=0.1297, lr=0.002098, batch_cost=1.4276, reader_cost=0.0027 | ETA 05:35:43 2020-12-16 07:12:46 [INFO] [TRAIN] epoch=178, iter=65900/80000, loss=0.1437, lr=0.002097, batch_cost=1.3957, reader_cost=0.0044 | ETA 05:27:59 2020-12-16 07:12:59 [INFO] [TRAIN] epoch=178, iter=65910/80000, loss=0.1262, lr=0.002095, batch_cost=1.3261, reader_cost=0.0017 | ETA 05:11:25 2020-12-16 07:13:12 [INFO] [TRAIN] epoch=178, iter=65920/80000, loss=0.1406, lr=0.002094, batch_cost=1.3037, reader_cost=0.0016 | ETA 05:05:56 2020-12-16 07:13:25 [INFO] [TRAIN] epoch=178, iter=65930/80000, loss=0.1550, lr=0.002093, batch_cost=1.3193, reader_cost=0.0030 | ETA 05:09:22 2020-12-16 07:13:39 [INFO] [TRAIN] epoch=178, iter=65940/80000, loss=0.1334, lr=0.002091, batch_cost=1.3648, reader_cost=0.0006 | ETA 05:19:48 2020-12-16 07:13:54 [INFO] [TRAIN] epoch=178, iter=65950/80000, loss=0.1453, lr=0.002090, batch_cost=1.4643, reader_cost=0.0015 | ETA 05:42:53 2020-12-16 07:14:08 [INFO] [TRAIN] epoch=178, iter=65960/80000, loss=0.1429, lr=0.002089, batch_cost=1.4426, reader_cost=0.0002 | ETA 05:37:34 2020-12-16 07:14:23 [INFO] [TRAIN] epoch=178, iter=65970/80000, loss=0.1467, lr=0.002087, batch_cost=1.4853, reader_cost=0.0017 | ETA 05:47:18 2020-12-16 07:14:37 [INFO] [TRAIN] epoch=178, iter=65980/80000, loss=0.1651, lr=0.002086, batch_cost=1.4293, reader_cost=0.0002 | ETA 05:33:58 2020-12-16 07:14:52 [INFO] [TRAIN] epoch=178, iter=65990/80000, loss=0.1569, lr=0.002085, batch_cost=1.4529, reader_cost=0.0001 | ETA 05:39:15 2020-12-16 07:15:04 [INFO] [TRAIN] epoch=178, iter=66000/80000, loss=0.1559, lr=0.002083, batch_cost=1.2674, reader_cost=0.0016 | ETA 04:55:44 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 07:15:05 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 07:16:00 [INFO] [EVAL] #Images=500 mIoU=0.7932 Acc=0.9608 Kappa=0.9491 2020-12-16 07:16:00 [INFO] [EVAL] Class IoU: [0.9791 0.8389 0.9278 0.5975 0.6285 0.6227 0.7109 0.7858 0.9248 0.658 0.9477 0.8183 0.6479 0.9523 0.8279 0.9143 0.8419 0.6695 0.7761] 2020-12-16 07:16:00 [INFO] [EVAL] Class Acc: [0.9938 0.8931 0.9589 0.8294 0.8378 0.7809 0.839 0.9084 0.953 0.8719 0.9678 0.8835 0.8072 0.9745 0.8875 0.9664 0.9299 0.8417 0.8566] 2020-12-16 07:16:12 [INFO] [EVAL] The model with the best validation mIoU (0.7960) was saved at iter 64000. 2020-12-16 07:16:25 [INFO] [TRAIN] epoch=178, iter=66010/80000, loss=0.1420, lr=0.002082, batch_cost=1.2933, reader_cost=0.0002 | ETA 05:01:32 2020-12-16 07:16:39 [INFO] [TRAIN] epoch=178, iter=66020/80000, loss=0.1433, lr=0.002081, batch_cost=1.3909, reader_cost=0.0002 | ETA 05:24:04 2020-12-16 07:16:52 [INFO] [TRAIN] epoch=178, iter=66030/80000, loss=0.1779, lr=0.002079, batch_cost=1.3226, reader_cost=0.0002 | ETA 05:07:57 2020-12-16 07:17:07 [INFO] [TRAIN] epoch=178, iter=66040/80000, loss=0.1489, lr=0.002078, batch_cost=1.4816, reader_cost=0.0002 | ETA 05:44:43 2020-12-16 07:17:21 [INFO] [TRAIN] epoch=178, iter=66050/80000, loss=0.1415, lr=0.002077, batch_cost=1.3662, reader_cost=0.0024 | ETA 05:17:37 2020-12-16 07:17:34 [INFO] [TRAIN] epoch=178, iter=66060/80000, loss=0.1348, lr=0.002075, batch_cost=1.3079, reader_cost=0.0017 | ETA 05:03:52 2020-12-16 07:17:48 [INFO] [TRAIN] epoch=178, iter=66070/80000, loss=0.1177, lr=0.002074, batch_cost=1.3933, reader_cost=0.0048 | ETA 05:23:28 2020-12-16 07:18:01 [INFO] [TRAIN] epoch=178, iter=66080/80000, loss=0.1268, lr=0.002073, batch_cost=1.3703, reader_cost=0.0002 | ETA 05:17:54 2020-12-16 07:18:14 [INFO] [TRAIN] epoch=178, iter=66090/80000, loss=0.1814, lr=0.002071, batch_cost=1.2931, reader_cost=0.0023 | ETA 04:59:46 2020-12-16 07:18:24 [INFO] [TRAIN] epoch=178, iter=66100/80000, loss=0.1192, lr=0.002070, batch_cost=0.9216, reader_cost=0.0001 | ETA 03:33:30 2020-12-16 07:18:32 [INFO] [TRAIN] epoch=178, iter=66110/80000, loss=0.1217, lr=0.002069, batch_cost=0.8337, reader_cost=0.0001 | ETA 03:13:00 2020-12-16 07:18:40 [INFO] [TRAIN] epoch=178, iter=66120/80000, loss=0.1489, lr=0.002067, batch_cost=0.8538, reader_cost=0.0001 | ETA 03:17:30 2020-12-16 07:18:51 [INFO] [TRAIN] epoch=178, iter=66130/80000, loss=0.1188, lr=0.002066, batch_cost=1.0157, reader_cost=0.0002 | ETA 03:54:47 2020-12-16 07:19:04 [INFO] [TRAIN] epoch=178, iter=66140/80000, loss=0.1512, lr=0.002065, batch_cost=1.2957, reader_cost=0.0002 | ETA 04:59:18 2020-12-16 07:19:17 [INFO] [TRAIN] epoch=178, iter=66150/80000, loss=0.2015, lr=0.002063, batch_cost=1.3652, reader_cost=0.0018 | ETA 05:15:08 2020-12-16 07:19:31 [INFO] [TRAIN] epoch=178, iter=66160/80000, loss=0.1394, lr=0.002062, batch_cost=1.3982, reader_cost=0.0002 | ETA 05:22:31 2020-12-16 07:19:45 [INFO] [TRAIN] epoch=178, iter=66170/80000, loss=0.1369, lr=0.002061, batch_cost=1.4166, reader_cost=0.0033 | ETA 05:26:32 2020-12-16 07:19:59 [INFO] [TRAIN] epoch=178, iter=66180/80000, loss=0.1215, lr=0.002059, batch_cost=1.3972, reader_cost=0.0003 | ETA 05:21:48 2020-12-16 07:20:14 [INFO] [TRAIN] epoch=178, iter=66190/80000, loss=0.1737, lr=0.002058, batch_cost=1.4413, reader_cost=0.0054 | ETA 05:31:44 2020-12-16 07:20:27 [INFO] [TRAIN] epoch=178, iter=66200/80000, loss=0.1414, lr=0.002057, batch_cost=1.3504, reader_cost=0.0002 | ETA 05:10:35 2020-12-16 07:20:42 [INFO] [TRAIN] epoch=178, iter=66210/80000, loss=0.1321, lr=0.002055, batch_cost=1.4274, reader_cost=0.0019 | ETA 05:28:03 2020-12-16 07:20:56 [INFO] [TRAIN] epoch=179, iter=66220/80000, loss=0.1414, lr=0.002054, batch_cost=1.4050, reader_cost=0.0898 | ETA 05:22:40 2020-12-16 07:21:09 [INFO] [TRAIN] epoch=179, iter=66230/80000, loss=0.1282, lr=0.002053, batch_cost=1.3134, reader_cost=0.0003 | ETA 05:01:25 2020-12-16 07:21:23 [INFO] [TRAIN] epoch=179, iter=66240/80000, loss=0.1493, lr=0.002051, batch_cost=1.3995, reader_cost=0.0002 | ETA 05:20:56 2020-12-16 07:21:36 [INFO] [TRAIN] epoch=179, iter=66250/80000, loss=0.1215, lr=0.002050, batch_cost=1.3565, reader_cost=0.0002 | ETA 05:10:51 2020-12-16 07:21:50 [INFO] [TRAIN] epoch=179, iter=66260/80000, loss=0.1411, lr=0.002048, batch_cost=1.3642, reader_cost=0.0002 | ETA 05:12:24 2020-12-16 07:22:04 [INFO] [TRAIN] epoch=179, iter=66270/80000, loss=0.2222, lr=0.002047, batch_cost=1.3869, reader_cost=0.0002 | ETA 05:17:21 2020-12-16 07:22:17 [INFO] [TRAIN] epoch=179, iter=66280/80000, loss=0.1285, lr=0.002046, batch_cost=1.3221, reader_cost=0.0014 | ETA 05:02:19 2020-12-16 07:22:32 [INFO] [TRAIN] epoch=179, iter=66290/80000, loss=0.1590, lr=0.002044, batch_cost=1.4523, reader_cost=0.0038 | ETA 05:31:50 2020-12-16 07:22:45 [INFO] [TRAIN] epoch=179, iter=66300/80000, loss=0.1505, lr=0.002043, batch_cost=1.3657, reader_cost=0.0006 | ETA 05:11:50 2020-12-16 07:23:00 [INFO] [TRAIN] epoch=179, iter=66310/80000, loss=0.1733, lr=0.002042, batch_cost=1.4542, reader_cost=0.0021 | ETA 05:31:47 2020-12-16 07:23:14 [INFO] [TRAIN] epoch=179, iter=66320/80000, loss=0.1329, lr=0.002040, batch_cost=1.3739, reader_cost=0.0006 | ETA 05:13:14 2020-12-16 07:23:27 [INFO] [TRAIN] epoch=179, iter=66330/80000, loss=0.1652, lr=0.002039, batch_cost=1.3955, reader_cost=0.0002 | ETA 05:17:55 2020-12-16 07:23:42 [INFO] [TRAIN] epoch=179, iter=66340/80000, loss=0.1439, lr=0.002038, batch_cost=1.4733, reader_cost=0.0008 | ETA 05:35:25 2020-12-16 07:23:58 [INFO] [TRAIN] epoch=179, iter=66350/80000, loss=0.1903, lr=0.002036, batch_cost=1.5885, reader_cost=0.0017 | ETA 06:01:22 2020-12-16 07:24:13 [INFO] [TRAIN] epoch=179, iter=66360/80000, loss=0.1654, lr=0.002035, batch_cost=1.4905, reader_cost=0.0011 | ETA 05:38:51 2020-12-16 07:24:28 [INFO] [TRAIN] epoch=179, iter=66370/80000, loss=0.1309, lr=0.002034, batch_cost=1.4800, reader_cost=0.0002 | ETA 05:36:12 2020-12-16 07:24:43 [INFO] [TRAIN] epoch=179, iter=66380/80000, loss=0.1243, lr=0.002032, batch_cost=1.5153, reader_cost=0.0002 | ETA 05:43:58 2020-12-16 07:24:56 [INFO] [TRAIN] epoch=179, iter=66390/80000, loss=0.1418, lr=0.002031, batch_cost=1.2920, reader_cost=0.0002 | ETA 04:53:04 2020-12-16 07:25:09 [INFO] [TRAIN] epoch=179, iter=66400/80000, loss=0.1706, lr=0.002030, batch_cost=1.3438, reader_cost=0.0051 | ETA 05:04:35 2020-12-16 07:25:23 [INFO] [TRAIN] epoch=179, iter=66410/80000, loss=0.1183, lr=0.002028, batch_cost=1.3499, reader_cost=0.0011 | ETA 05:05:44 2020-12-16 07:25:34 [INFO] [TRAIN] epoch=179, iter=66420/80000, loss=0.1270, lr=0.002027, batch_cost=1.0784, reader_cost=0.0003 | ETA 04:04:04 2020-12-16 07:25:42 [INFO] [TRAIN] epoch=179, iter=66430/80000, loss=0.1252, lr=0.002026, batch_cost=0.8407, reader_cost=0.0001 | ETA 03:10:08 2020-12-16 07:25:51 [INFO] [TRAIN] epoch=179, iter=66440/80000, loss=0.1088, lr=0.002024, batch_cost=0.8702, reader_cost=0.0001 | ETA 03:16:39 2020-12-16 07:26:01 [INFO] [TRAIN] epoch=179, iter=66450/80000, loss=0.1392, lr=0.002023, batch_cost=0.9942, reader_cost=0.0002 | ETA 03:44:30 2020-12-16 07:26:14 [INFO] [TRAIN] epoch=179, iter=66460/80000, loss=0.1405, lr=0.002022, batch_cost=1.3062, reader_cost=0.0010 | ETA 04:54:45 2020-12-16 07:26:27 [INFO] [TRAIN] epoch=179, iter=66470/80000, loss=0.1486, lr=0.002020, batch_cost=1.3659, reader_cost=0.0002 | ETA 05:08:00 2020-12-16 07:26:41 [INFO] [TRAIN] epoch=179, iter=66480/80000, loss=0.1333, lr=0.002019, batch_cost=1.3570, reader_cost=0.0021 | ETA 05:05:46 2020-12-16 07:26:55 [INFO] [TRAIN] epoch=179, iter=66490/80000, loss=0.1421, lr=0.002018, batch_cost=1.4497, reader_cost=0.0002 | ETA 05:26:25 2020-12-16 07:27:08 [INFO] [TRAIN] epoch=179, iter=66500/80000, loss=0.1346, lr=0.002016, batch_cost=1.2904, reader_cost=0.0040 | ETA 04:50:19 2020-12-16 07:27:22 [INFO] [TRAIN] epoch=179, iter=66510/80000, loss=0.1447, lr=0.002015, batch_cost=1.3862, reader_cost=0.0062 | ETA 05:11:40 2020-12-16 07:27:36 [INFO] [TRAIN] epoch=179, iter=66520/80000, loss=0.1384, lr=0.002014, batch_cost=1.3680, reader_cost=0.0002 | ETA 05:07:20 2020-12-16 07:27:48 [INFO] [TRAIN] epoch=179, iter=66530/80000, loss=0.1843, lr=0.002012, batch_cost=1.2250, reader_cost=0.0030 | ETA 04:35:00 2020-12-16 07:28:02 [INFO] [TRAIN] epoch=179, iter=66540/80000, loss=0.1379, lr=0.002011, batch_cost=1.3565, reader_cost=0.0002 | ETA 05:04:18 2020-12-16 07:28:15 [INFO] [TRAIN] epoch=179, iter=66550/80000, loss=0.1209, lr=0.002010, batch_cost=1.2919, reader_cost=0.0002 | ETA 04:49:36 2020-12-16 07:28:29 [INFO] [TRAIN] epoch=179, iter=66560/80000, loss=0.1606, lr=0.002008, batch_cost=1.4645, reader_cost=0.0016 | ETA 05:28:03 2020-12-16 07:28:42 [INFO] [TRAIN] epoch=179, iter=66570/80000, loss=0.1417, lr=0.002007, batch_cost=1.3139, reader_cost=0.0003 | ETA 04:54:05 2020-12-16 07:28:56 [INFO] [TRAIN] epoch=179, iter=66580/80000, loss=0.1279, lr=0.002006, batch_cost=1.3755, reader_cost=0.0015 | ETA 05:07:38 2020-12-16 07:29:08 [INFO] [TRAIN] epoch=180, iter=66590/80000, loss=0.1303, lr=0.002004, batch_cost=1.1583, reader_cost=0.0948 | ETA 04:18:52 2020-12-16 07:29:22 [INFO] [TRAIN] epoch=180, iter=66600/80000, loss=0.1393, lr=0.002003, batch_cost=1.4153, reader_cost=0.0021 | ETA 05:16:05 2020-12-16 07:29:35 [INFO] [TRAIN] epoch=180, iter=66610/80000, loss=0.1526, lr=0.002001, batch_cost=1.3451, reader_cost=0.0002 | ETA 05:00:11 2020-12-16 07:29:49 [INFO] [TRAIN] epoch=180, iter=66620/80000, loss=0.1221, lr=0.002000, batch_cost=1.4082, reader_cost=0.0013 | ETA 05:14:01 2020-12-16 07:30:03 [INFO] [TRAIN] epoch=180, iter=66630/80000, loss=0.1933, lr=0.001999, batch_cost=1.3413, reader_cost=0.0011 | ETA 04:58:53 2020-12-16 07:30:16 [INFO] [TRAIN] epoch=180, iter=66640/80000, loss=0.1895, lr=0.001997, batch_cost=1.3296, reader_cost=0.0019 | ETA 04:56:03 2020-12-16 07:30:30 [INFO] [TRAIN] epoch=180, iter=66650/80000, loss=0.1391, lr=0.001996, batch_cost=1.3637, reader_cost=0.0032 | ETA 05:03:25 2020-12-16 07:30:44 [INFO] [TRAIN] epoch=180, iter=66660/80000, loss=0.1273, lr=0.001995, batch_cost=1.4165, reader_cost=0.0011 | ETA 05:14:56 2020-12-16 07:30:58 [INFO] [TRAIN] epoch=180, iter=66670/80000, loss=0.1673, lr=0.001993, batch_cost=1.3596, reader_cost=0.0005 | ETA 05:02:03 2020-12-16 07:31:11 [INFO] [TRAIN] epoch=180, iter=66680/80000, loss=0.2713, lr=0.001992, batch_cost=1.3103, reader_cost=0.0019 | ETA 04:50:52 2020-12-16 07:31:24 [INFO] [TRAIN] epoch=180, iter=66690/80000, loss=0.1310, lr=0.001991, batch_cost=1.3477, reader_cost=0.0007 | ETA 04:58:58 2020-12-16 07:31:39 [INFO] [TRAIN] epoch=180, iter=66700/80000, loss=0.1608, lr=0.001989, batch_cost=1.4939, reader_cost=0.0002 | ETA 05:31:09 2020-12-16 07:31:55 [INFO] [TRAIN] epoch=180, iter=66710/80000, loss=0.0959, lr=0.001988, batch_cost=1.5395, reader_cost=0.0015 | ETA 05:41:00 2020-12-16 07:32:10 [INFO] [TRAIN] epoch=180, iter=66720/80000, loss=0.1981, lr=0.001987, batch_cost=1.5388, reader_cost=0.0029 | ETA 05:40:35 2020-12-16 07:32:22 [INFO] [TRAIN] epoch=180, iter=66730/80000, loss=0.1573, lr=0.001985, batch_cost=1.2254, reader_cost=0.0036 | ETA 04:31:01 2020-12-16 07:32:31 [INFO] [TRAIN] epoch=180, iter=66740/80000, loss=0.1529, lr=0.001984, batch_cost=0.8481, reader_cost=0.0001 | ETA 03:07:25 2020-12-16 07:32:39 [INFO] [TRAIN] epoch=180, iter=66750/80000, loss=0.1499, lr=0.001983, batch_cost=0.8625, reader_cost=0.0001 | ETA 03:10:28 2020-12-16 07:32:49 [INFO] [TRAIN] epoch=180, iter=66760/80000, loss=0.1754, lr=0.001981, batch_cost=0.9277, reader_cost=0.0002 | ETA 03:24:42 2020-12-16 07:33:03 [INFO] [TRAIN] epoch=180, iter=66770/80000, loss=0.1559, lr=0.001980, batch_cost=1.4075, reader_cost=0.0040 | ETA 05:10:21 2020-12-16 07:33:16 [INFO] [TRAIN] epoch=180, iter=66780/80000, loss=0.1408, lr=0.001979, batch_cost=1.3062, reader_cost=0.0003 | ETA 04:47:47 2020-12-16 07:33:30 [INFO] [TRAIN] epoch=180, iter=66790/80000, loss=0.2951, lr=0.001977, batch_cost=1.3866, reader_cost=0.0002 | ETA 05:05:17 2020-12-16 07:33:43 [INFO] [TRAIN] epoch=180, iter=66800/80000, loss=0.1385, lr=0.001976, batch_cost=1.3451, reader_cost=0.0011 | ETA 04:55:54 2020-12-16 07:33:56 [INFO] [TRAIN] epoch=180, iter=66810/80000, loss=0.1393, lr=0.001975, batch_cost=1.3368, reader_cost=0.0004 | ETA 04:53:52 2020-12-16 07:34:10 [INFO] [TRAIN] epoch=180, iter=66820/80000, loss=0.1439, lr=0.001973, batch_cost=1.3595, reader_cost=0.0002 | ETA 04:58:37 2020-12-16 07:34:24 [INFO] [TRAIN] epoch=180, iter=66830/80000, loss=0.1672, lr=0.001972, batch_cost=1.4127, reader_cost=0.0021 | ETA 05:10:04 2020-12-16 07:34:38 [INFO] [TRAIN] epoch=180, iter=66840/80000, loss=0.1181, lr=0.001971, batch_cost=1.4188, reader_cost=0.0045 | ETA 05:11:11 2020-12-16 07:34:53 [INFO] [TRAIN] epoch=180, iter=66850/80000, loss=0.2797, lr=0.001969, batch_cost=1.4489, reader_cost=0.0026 | ETA 05:17:33 2020-12-16 07:35:06 [INFO] [TRAIN] epoch=180, iter=66860/80000, loss=0.1662, lr=0.001968, batch_cost=1.3036, reader_cost=0.0002 | ETA 04:45:28 2020-12-16 07:35:14 [INFO] [TRAIN] epoch=180, iter=66870/80000, loss=0.1282, lr=0.001966, batch_cost=0.8515, reader_cost=0.0001 | ETA 03:06:19 2020-12-16 07:35:23 [INFO] [TRAIN] epoch=180, iter=66880/80000, loss=0.1675, lr=0.001965, batch_cost=0.8316, reader_cost=0.0001 | ETA 03:01:51 2020-12-16 07:35:31 [INFO] [TRAIN] epoch=180, iter=66890/80000, loss=0.1457, lr=0.001964, batch_cost=0.8443, reader_cost=0.0001 | ETA 03:04:29 2020-12-16 07:35:39 [INFO] [TRAIN] epoch=180, iter=66900/80000, loss=0.1266, lr=0.001962, batch_cost=0.8171, reader_cost=0.0004 | ETA 02:58:24 2020-12-16 07:35:52 [INFO] [TRAIN] epoch=180, iter=66910/80000, loss=0.1235, lr=0.001961, batch_cost=1.2345, reader_cost=0.0001 | ETA 04:29:19 2020-12-16 07:36:07 [INFO] [TRAIN] epoch=180, iter=66920/80000, loss=0.1261, lr=0.001960, batch_cost=1.4930, reader_cost=0.0002 | ETA 05:25:28 2020-12-16 07:36:22 [INFO] [TRAIN] epoch=180, iter=66930/80000, loss=0.1998, lr=0.001958, batch_cost=1.5807, reader_cost=0.0002 | ETA 05:44:20 2020-12-16 07:36:38 [INFO] [TRAIN] epoch=180, iter=66940/80000, loss=0.1590, lr=0.001957, batch_cost=1.5218, reader_cost=0.0002 | ETA 05:31:15 2020-12-16 07:36:53 [INFO] [TRAIN] epoch=180, iter=66950/80000, loss=0.1339, lr=0.001956, batch_cost=1.5104, reader_cost=0.0002 | ETA 05:28:30 2020-12-16 07:37:04 [INFO] [TRAIN] epoch=180, iter=66960/80000, loss=0.1520, lr=0.001954, batch_cost=1.1125, reader_cost=0.0002 | ETA 04:01:47 2020-12-16 07:37:21 [INFO] [TRAIN] epoch=181, iter=66970/80000, loss=0.1319, lr=0.001953, batch_cost=1.7239, reader_cost=0.0880 | ETA 06:14:22 2020-12-16 07:37:37 [INFO] [TRAIN] epoch=181, iter=66980/80000, loss=0.1910, lr=0.001952, batch_cost=1.5460, reader_cost=0.0002 | ETA 05:35:29 2020-12-16 07:37:52 [INFO] [TRAIN] epoch=181, iter=66990/80000, loss=0.1185, lr=0.001950, batch_cost=1.5264, reader_cost=0.0003 | ETA 05:30:58 2020-12-16 07:38:06 [INFO] [TRAIN] epoch=181, iter=67000/80000, loss=0.1568, lr=0.001949, batch_cost=1.4297, reader_cost=0.0002 | ETA 05:09:46 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 07:38:06 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 07:39:08 [INFO] [EVAL] #Images=500 mIoU=0.7915 Acc=0.9620 Kappa=0.9507 2020-12-16 07:39:08 [INFO] [EVAL] Class IoU: [0.9841 0.8644 0.9276 0.5807 0.6231 0.6195 0.7132 0.7848 0.9226 0.6224 0.9485 0.8163 0.6452 0.9525 0.8321 0.9153 0.8419 0.6716 0.7735] 2020-12-16 07:39:08 [INFO] [EVAL] Class Acc: [0.9936 0.9197 0.958 0.8391 0.8363 0.7767 0.8304 0.9137 0.9556 0.8049 0.9699 0.8798 0.7816 0.9721 0.9153 0.9659 0.9587 0.8389 0.8565] 2020-12-16 07:39:20 [INFO] [EVAL] The model with the best validation mIoU (0.7960) was saved at iter 64000. 2020-12-16 07:39:34 [INFO] [TRAIN] epoch=181, iter=67010/80000, loss=0.1354, lr=0.001948, batch_cost=1.4054, reader_cost=0.0025 | ETA 05:04:15 2020-12-16 07:39:49 [INFO] [TRAIN] epoch=181, iter=67020/80000, loss=0.1336, lr=0.001946, batch_cost=1.4505, reader_cost=0.0034 | ETA 05:13:47 2020-12-16 07:40:04 [INFO] [TRAIN] epoch=181, iter=67030/80000, loss=0.1668, lr=0.001945, batch_cost=1.4770, reader_cost=0.0015 | ETA 05:19:16 2020-12-16 07:40:16 [INFO] [TRAIN] epoch=181, iter=67040/80000, loss=0.1349, lr=0.001944, batch_cost=1.2753, reader_cost=0.0066 | ETA 04:35:27 2020-12-16 07:40:25 [INFO] [TRAIN] epoch=181, iter=67050/80000, loss=0.1309, lr=0.001942, batch_cost=0.8405, reader_cost=0.0001 | ETA 03:01:23 2020-12-16 07:40:33 [INFO] [TRAIN] epoch=181, iter=67060/80000, loss=0.1219, lr=0.001941, batch_cost=0.8632, reader_cost=0.0001 | ETA 03:06:09 2020-12-16 07:40:43 [INFO] [TRAIN] epoch=181, iter=67070/80000, loss=0.1474, lr=0.001939, batch_cost=0.9341, reader_cost=0.0001 | ETA 03:21:17 2020-12-16 07:40:55 [INFO] [TRAIN] epoch=181, iter=67080/80000, loss=0.1107, lr=0.001938, batch_cost=1.2481, reader_cost=0.0002 | ETA 04:28:45 2020-12-16 07:41:10 [INFO] [TRAIN] epoch=181, iter=67090/80000, loss=0.1421, lr=0.001937, batch_cost=1.4235, reader_cost=0.0002 | ETA 05:06:17 2020-12-16 07:41:23 [INFO] [TRAIN] epoch=181, iter=67100/80000, loss=0.1345, lr=0.001935, batch_cost=1.3687, reader_cost=0.0012 | ETA 04:54:16 2020-12-16 07:41:36 [INFO] [TRAIN] epoch=181, iter=67110/80000, loss=0.1700, lr=0.001934, batch_cost=1.3140, reader_cost=0.0026 | ETA 04:42:17 2020-12-16 07:41:51 [INFO] [TRAIN] epoch=181, iter=67120/80000, loss=0.1842, lr=0.001933, batch_cost=1.4882, reader_cost=0.0010 | ETA 05:19:27 2020-12-16 07:42:04 [INFO] [TRAIN] epoch=181, iter=67130/80000, loss=0.1317, lr=0.001931, batch_cost=1.3047, reader_cost=0.0015 | ETA 04:39:50 2020-12-16 07:42:19 [INFO] [TRAIN] epoch=181, iter=67140/80000, loss=0.1325, lr=0.001930, batch_cost=1.4896, reader_cost=0.0046 | ETA 05:19:16 2020-12-16 07:42:34 [INFO] [TRAIN] epoch=181, iter=67150/80000, loss=0.1036, lr=0.001929, batch_cost=1.4723, reader_cost=0.0002 | ETA 05:15:18 2020-12-16 07:42:48 [INFO] [TRAIN] epoch=181, iter=67160/80000, loss=0.1452, lr=0.001927, batch_cost=1.4505, reader_cost=0.0002 | ETA 05:10:24 2020-12-16 07:43:03 [INFO] [TRAIN] epoch=181, iter=67170/80000, loss=0.1026, lr=0.001926, batch_cost=1.4341, reader_cost=0.0026 | ETA 05:06:39 2020-12-16 07:43:18 [INFO] [TRAIN] epoch=181, iter=67180/80000, loss=0.1256, lr=0.001925, batch_cost=1.5473, reader_cost=0.0003 | ETA 05:30:36 2020-12-16 07:43:32 [INFO] [TRAIN] epoch=181, iter=67190/80000, loss=0.1217, lr=0.001923, batch_cost=1.4088, reader_cost=0.0012 | ETA 05:00:46 2020-12-16 07:43:46 [INFO] [TRAIN] epoch=181, iter=67200/80000, loss=0.1724, lr=0.001922, batch_cost=1.3935, reader_cost=0.0002 | ETA 04:57:16 2020-12-16 07:44:01 [INFO] [TRAIN] epoch=181, iter=67210/80000, loss=0.1276, lr=0.001921, batch_cost=1.4641, reader_cost=0.0002 | ETA 05:12:05 2020-12-16 07:44:15 [INFO] [TRAIN] epoch=181, iter=67220/80000, loss=0.1266, lr=0.001919, batch_cost=1.4503, reader_cost=0.0023 | ETA 05:08:55 2020-12-16 07:44:29 [INFO] [TRAIN] epoch=181, iter=67230/80000, loss=0.0866, lr=0.001918, batch_cost=1.3467, reader_cost=0.0021 | ETA 04:46:37 2020-12-16 07:44:42 [INFO] [TRAIN] epoch=181, iter=67240/80000, loss=0.1090, lr=0.001917, batch_cost=1.3218, reader_cost=0.0012 | ETA 04:41:05 2020-12-16 07:44:57 [INFO] [TRAIN] epoch=181, iter=67250/80000, loss=0.1612, lr=0.001915, batch_cost=1.4782, reader_cost=0.0019 | ETA 05:14:07 2020-12-16 07:45:11 [INFO] [TRAIN] epoch=181, iter=67260/80000, loss=0.1217, lr=0.001914, batch_cost=1.4406, reader_cost=0.0005 | ETA 05:05:52 2020-12-16 07:45:25 [INFO] [TRAIN] epoch=181, iter=67270/80000, loss=0.1748, lr=0.001912, batch_cost=1.4113, reader_cost=0.0002 | ETA 04:59:25 2020-12-16 07:45:39 [INFO] [TRAIN] epoch=181, iter=67280/80000, loss=0.1217, lr=0.001911, batch_cost=1.3651, reader_cost=0.0002 | ETA 04:49:23 2020-12-16 07:45:53 [INFO] [TRAIN] epoch=181, iter=67290/80000, loss=0.1100, lr=0.001910, batch_cost=1.4239, reader_cost=0.0010 | ETA 05:01:38 2020-12-16 07:46:08 [INFO] [TRAIN] epoch=181, iter=67300/80000, loss=0.1623, lr=0.001908, batch_cost=1.4373, reader_cost=0.0016 | ETA 05:04:13 2020-12-16 07:46:21 [INFO] [TRAIN] epoch=181, iter=67310/80000, loss=0.0993, lr=0.001907, batch_cost=1.3646, reader_cost=0.0002 | ETA 04:48:37 2020-12-16 07:46:35 [INFO] [TRAIN] epoch=181, iter=67320/80000, loss=0.1224, lr=0.001906, batch_cost=1.3929, reader_cost=0.0012 | ETA 04:54:22 2020-12-16 07:46:49 [INFO] [TRAIN] epoch=181, iter=67330/80000, loss=0.1634, lr=0.001904, batch_cost=1.3471, reader_cost=0.0002 | ETA 04:44:27 2020-12-16 07:47:04 [INFO] [TRAIN] epoch=182, iter=67340/80000, loss=0.1877, lr=0.001903, batch_cost=1.4973, reader_cost=0.1153 | ETA 05:15:55 2020-12-16 07:47:18 [INFO] [TRAIN] epoch=182, iter=67350/80000, loss=0.1598, lr=0.001902, batch_cost=1.3835, reader_cost=0.0003 | ETA 04:51:40 2020-12-16 07:47:32 [INFO] [TRAIN] epoch=182, iter=67360/80000, loss=0.1925, lr=0.001900, batch_cost=1.4307, reader_cost=0.0023 | ETA 05:01:23 2020-12-16 07:47:40 [INFO] [TRAIN] epoch=182, iter=67370/80000, loss=0.1937, lr=0.001899, batch_cost=0.8192, reader_cost=0.0001 | ETA 02:52:26 2020-12-16 07:47:49 [INFO] [TRAIN] epoch=182, iter=67380/80000, loss=0.1526, lr=0.001898, batch_cost=0.8515, reader_cost=0.0001 | ETA 02:59:06 2020-12-16 07:47:57 [INFO] [TRAIN] epoch=182, iter=67390/80000, loss=0.1335, lr=0.001896, batch_cost=0.8945, reader_cost=0.0001 | ETA 03:07:59 2020-12-16 07:48:09 [INFO] [TRAIN] epoch=182, iter=67400/80000, loss=0.1571, lr=0.001895, batch_cost=1.2007, reader_cost=0.0005 | ETA 04:12:09 2020-12-16 07:48:22 [INFO] [TRAIN] epoch=182, iter=67410/80000, loss=0.1439, lr=0.001894, batch_cost=1.2784, reader_cost=0.0003 | ETA 04:28:14 2020-12-16 07:48:36 [INFO] [TRAIN] epoch=182, iter=67420/80000, loss=0.1626, lr=0.001892, batch_cost=1.3455, reader_cost=0.0018 | ETA 04:42:05 2020-12-16 07:48:50 [INFO] [TRAIN] epoch=182, iter=67430/80000, loss=0.1267, lr=0.001891, batch_cost=1.4019, reader_cost=0.0005 | ETA 04:53:42 2020-12-16 07:49:04 [INFO] [TRAIN] epoch=182, iter=67440/80000, loss=0.1254, lr=0.001889, batch_cost=1.4074, reader_cost=0.0023 | ETA 04:54:37 2020-12-16 07:49:18 [INFO] [TRAIN] epoch=182, iter=67450/80000, loss=0.1452, lr=0.001888, batch_cost=1.4302, reader_cost=0.0002 | ETA 04:59:09 2020-12-16 07:49:32 [INFO] [TRAIN] epoch=182, iter=67460/80000, loss=0.1691, lr=0.001887, batch_cost=1.3930, reader_cost=0.0017 | ETA 04:51:07 2020-12-16 07:49:47 [INFO] [TRAIN] epoch=182, iter=67470/80000, loss=0.1269, lr=0.001885, batch_cost=1.4651, reader_cost=0.0012 | ETA 05:05:57 2020-12-16 07:50:01 [INFO] [TRAIN] epoch=182, iter=67480/80000, loss=0.1503, lr=0.001884, batch_cost=1.4145, reader_cost=0.0015 | ETA 04:55:09 2020-12-16 07:50:15 [INFO] [TRAIN] epoch=182, iter=67490/80000, loss=0.1314, lr=0.001883, batch_cost=1.4007, reader_cost=0.0027 | ETA 04:52:02 2020-12-16 07:50:30 [INFO] [TRAIN] epoch=182, iter=67500/80000, loss=0.1141, lr=0.001881, batch_cost=1.5147, reader_cost=0.0037 | ETA 05:15:33 2020-12-16 07:50:45 [INFO] [TRAIN] epoch=182, iter=67510/80000, loss=0.1806, lr=0.001880, batch_cost=1.5274, reader_cost=0.0010 | ETA 05:17:57 2020-12-16 07:51:00 [INFO] [TRAIN] epoch=182, iter=67520/80000, loss=0.1783, lr=0.001879, batch_cost=1.4809, reader_cost=0.0023 | ETA 05:08:01 2020-12-16 07:51:15 [INFO] [TRAIN] epoch=182, iter=67530/80000, loss=0.1348, lr=0.001877, batch_cost=1.4525, reader_cost=0.0015 | ETA 05:01:52 2020-12-16 07:51:30 [INFO] [TRAIN] epoch=182, iter=67540/80000, loss=0.1497, lr=0.001876, batch_cost=1.5037, reader_cost=0.0004 | ETA 05:12:15 2020-12-16 07:51:43 [INFO] [TRAIN] epoch=182, iter=67550/80000, loss=0.1053, lr=0.001875, batch_cost=1.3499, reader_cost=0.0009 | ETA 04:40:06 2020-12-16 07:51:57 [INFO] [TRAIN] epoch=182, iter=67560/80000, loss=0.0976, lr=0.001873, batch_cost=1.3564, reader_cost=0.0046 | ETA 04:41:13 2020-12-16 07:52:10 [INFO] [TRAIN] epoch=182, iter=67570/80000, loss=0.1373, lr=0.001872, batch_cost=1.3635, reader_cost=0.0019 | ETA 04:42:28 2020-12-16 07:52:24 [INFO] [TRAIN] epoch=182, iter=67580/80000, loss=0.1256, lr=0.001871, batch_cost=1.3879, reader_cost=0.0002 | ETA 04:47:18 2020-12-16 07:52:39 [INFO] [TRAIN] epoch=182, iter=67590/80000, loss=0.1557, lr=0.001869, batch_cost=1.4621, reader_cost=0.0028 | ETA 05:02:25 2020-12-16 07:52:53 [INFO] [TRAIN] epoch=182, iter=67600/80000, loss=0.1343, lr=0.001868, batch_cost=1.4585, reader_cost=0.0002 | ETA 05:01:25 2020-12-16 07:53:08 [INFO] [TRAIN] epoch=182, iter=67610/80000, loss=0.1593, lr=0.001866, batch_cost=1.4833, reader_cost=0.0003 | ETA 05:06:18 2020-12-16 07:53:23 [INFO] [TRAIN] epoch=182, iter=67620/80000, loss=0.0909, lr=0.001865, batch_cost=1.4271, reader_cost=0.0014 | ETA 04:54:27 2020-12-16 07:53:36 [INFO] [TRAIN] epoch=182, iter=67630/80000, loss=0.1168, lr=0.001864, batch_cost=1.3568, reader_cost=0.0025 | ETA 04:39:43 2020-12-16 07:53:52 [INFO] [TRAIN] epoch=182, iter=67640/80000, loss=0.1733, lr=0.001862, batch_cost=1.5830, reader_cost=0.0014 | ETA 05:26:06 2020-12-16 07:54:06 [INFO] [TRAIN] epoch=182, iter=67650/80000, loss=0.1203, lr=0.001861, batch_cost=1.4341, reader_cost=0.0002 | ETA 04:55:11 2020-12-16 07:54:22 [INFO] [TRAIN] epoch=182, iter=67660/80000, loss=0.1246, lr=0.001860, batch_cost=1.5184, reader_cost=0.0032 | ETA 05:12:16 2020-12-16 07:54:36 [INFO] [TRAIN] epoch=182, iter=67670/80000, loss=0.1238, lr=0.001858, batch_cost=1.4854, reader_cost=0.0006 | ETA 05:05:14 2020-12-16 07:54:50 [INFO] [TRAIN] epoch=182, iter=67680/80000, loss=0.1224, lr=0.001857, batch_cost=1.3427, reader_cost=0.0026 | ETA 04:35:42 2020-12-16 07:54:58 [INFO] [TRAIN] epoch=182, iter=67690/80000, loss=0.1338, lr=0.001856, batch_cost=0.8165, reader_cost=0.0009 | ETA 02:47:30 2020-12-16 07:55:06 [INFO] [TRAIN] epoch=182, iter=67700/80000, loss=0.1901, lr=0.001854, batch_cost=0.8531, reader_cost=0.0001 | ETA 02:54:52 2020-12-16 07:55:17 [INFO] [TRAIN] epoch=183, iter=67710/80000, loss=0.1499, lr=0.001853, batch_cost=1.0745, reader_cost=0.0776 | ETA 03:40:06 2020-12-16 07:55:30 [INFO] [TRAIN] epoch=183, iter=67720/80000, loss=0.1538, lr=0.001852, batch_cost=1.3142, reader_cost=0.0014 | ETA 04:28:58 2020-12-16 07:55:45 [INFO] [TRAIN] epoch=183, iter=67730/80000, loss=0.1623, lr=0.001850, batch_cost=1.4305, reader_cost=0.0026 | ETA 04:52:32 2020-12-16 07:55:59 [INFO] [TRAIN] epoch=183, iter=67740/80000, loss=0.1438, lr=0.001849, batch_cost=1.4136, reader_cost=0.0013 | ETA 04:48:50 2020-12-16 07:56:13 [INFO] [TRAIN] epoch=183, iter=67750/80000, loss=0.1178, lr=0.001847, batch_cost=1.4092, reader_cost=0.0017 | ETA 04:47:42 2020-12-16 07:56:27 [INFO] [TRAIN] epoch=183, iter=67760/80000, loss=0.0956, lr=0.001846, batch_cost=1.4011, reader_cost=0.0003 | ETA 04:45:49 2020-12-16 07:56:41 [INFO] [TRAIN] epoch=183, iter=67770/80000, loss=0.1393, lr=0.001845, batch_cost=1.3970, reader_cost=0.0002 | ETA 04:44:45 2020-12-16 07:56:57 [INFO] [TRAIN] epoch=183, iter=67780/80000, loss=0.1636, lr=0.001843, batch_cost=1.5930, reader_cost=0.0008 | ETA 05:24:25 2020-12-16 07:57:11 [INFO] [TRAIN] epoch=183, iter=67790/80000, loss=0.1455, lr=0.001842, batch_cost=1.4241, reader_cost=0.0002 | ETA 04:49:48 2020-12-16 07:57:25 [INFO] [TRAIN] epoch=183, iter=67800/80000, loss=0.1475, lr=0.001841, batch_cost=1.4103, reader_cost=0.0006 | ETA 04:46:45 2020-12-16 07:57:41 [INFO] [TRAIN] epoch=183, iter=67810/80000, loss=0.1260, lr=0.001839, batch_cost=1.5513, reader_cost=0.0006 | ETA 05:15:09 2020-12-16 07:57:55 [INFO] [TRAIN] epoch=183, iter=67820/80000, loss=0.1888, lr=0.001838, batch_cost=1.4699, reader_cost=0.0045 | ETA 04:58:23 2020-12-16 07:58:09 [INFO] [TRAIN] epoch=183, iter=67830/80000, loss=0.1591, lr=0.001837, batch_cost=1.4082, reader_cost=0.0002 | ETA 04:45:38 2020-12-16 07:58:24 [INFO] [TRAIN] epoch=183, iter=67840/80000, loss=0.1328, lr=0.001835, batch_cost=1.4365, reader_cost=0.0014 | ETA 04:51:07 2020-12-16 07:58:38 [INFO] [TRAIN] epoch=183, iter=67850/80000, loss=0.1332, lr=0.001834, batch_cost=1.4258, reader_cost=0.0002 | ETA 04:48:43 2020-12-16 07:58:53 [INFO] [TRAIN] epoch=183, iter=67860/80000, loss=0.1283, lr=0.001833, batch_cost=1.4959, reader_cost=0.0009 | ETA 05:02:40 2020-12-16 07:59:08 [INFO] [TRAIN] epoch=183, iter=67870/80000, loss=0.1642, lr=0.001831, batch_cost=1.5044, reader_cost=0.0026 | ETA 05:04:08 2020-12-16 07:59:22 [INFO] [TRAIN] epoch=183, iter=67880/80000, loss=0.1544, lr=0.001830, batch_cost=1.3919, reader_cost=0.0002 | ETA 04:41:09 2020-12-16 07:59:36 [INFO] [TRAIN] epoch=183, iter=67890/80000, loss=0.1642, lr=0.001828, batch_cost=1.4339, reader_cost=0.0017 | ETA 04:49:24 2020-12-16 07:59:51 [INFO] [TRAIN] epoch=183, iter=67900/80000, loss=0.1437, lr=0.001827, batch_cost=1.4398, reader_cost=0.0049 | ETA 04:50:21 2020-12-16 08:00:04 [INFO] [TRAIN] epoch=183, iter=67910/80000, loss=0.1264, lr=0.001826, batch_cost=1.2915, reader_cost=0.0031 | ETA 04:20:13 2020-12-16 08:00:18 [INFO] [TRAIN] epoch=183, iter=67920/80000, loss=0.1351, lr=0.001824, batch_cost=1.4191, reader_cost=0.0106 | ETA 04:45:42 2020-12-16 08:00:32 [INFO] [TRAIN] epoch=183, iter=67930/80000, loss=0.1519, lr=0.001823, batch_cost=1.4582, reader_cost=0.0022 | ETA 04:53:20 2020-12-16 08:00:47 [INFO] [TRAIN] epoch=183, iter=67940/80000, loss=0.1526, lr=0.001822, batch_cost=1.4247, reader_cost=0.0026 | ETA 04:46:21 2020-12-16 08:01:02 [INFO] [TRAIN] epoch=183, iter=67950/80000, loss=0.1270, lr=0.001820, batch_cost=1.5168, reader_cost=0.0016 | ETA 05:04:37 2020-12-16 08:01:15 [INFO] [TRAIN] epoch=183, iter=67960/80000, loss=0.1440, lr=0.001819, batch_cost=1.3428, reader_cost=0.0002 | ETA 04:29:27 2020-12-16 08:01:29 [INFO] [TRAIN] epoch=183, iter=67970/80000, loss=0.1447, lr=0.001818, batch_cost=1.3501, reader_cost=0.0028 | ETA 04:30:42 2020-12-16 08:01:43 [INFO] [TRAIN] epoch=183, iter=67980/80000, loss=0.1429, lr=0.001816, batch_cost=1.4193, reader_cost=0.0019 | ETA 04:44:19 2020-12-16 08:01:58 [INFO] [TRAIN] epoch=183, iter=67990/80000, loss=0.1406, lr=0.001815, batch_cost=1.5003, reader_cost=0.0002 | ETA 05:00:18 2020-12-16 08:02:12 [INFO] [TRAIN] epoch=183, iter=68000/80000, loss=0.1635, lr=0.001813, batch_cost=1.3924, reader_cost=0.0022 | ETA 04:38:28 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 08:02:12 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 08:03:05 [INFO] [EVAL] #Images=500 mIoU=0.7946 Acc=0.9627 Kappa=0.9515 2020-12-16 08:03:05 [INFO] [EVAL] Class IoU: [0.9836 0.8639 0.9288 0.5974 0.6433 0.6179 0.7157 0.786 0.9254 0.6578 0.948 0.8221 0.6551 0.9494 0.7997 0.9171 0.8509 0.6608 0.7738] 2020-12-16 08:03:05 [INFO] [EVAL] Class Acc: [0.9934 0.923 0.9578 0.8524 0.8389 0.7977 0.8398 0.9137 0.9549 0.8443 0.9687 0.8924 0.7986 0.9688 0.9103 0.9642 0.9544 0.8419 0.8512] 2020-12-16 08:03:14 [INFO] [EVAL] The model with the best validation mIoU (0.7960) was saved at iter 64000. 2020-12-16 08:03:28 [INFO] [TRAIN] epoch=183, iter=68010/80000, loss=0.1247, lr=0.001812, batch_cost=1.3628, reader_cost=0.0038 | ETA 04:32:19 2020-12-16 08:03:42 [INFO] [TRAIN] epoch=183, iter=68020/80000, loss=0.1333, lr=0.001811, batch_cost=1.4084, reader_cost=0.0051 | ETA 04:41:12 2020-12-16 08:03:57 [INFO] [TRAIN] epoch=183, iter=68030/80000, loss=0.1270, lr=0.001809, batch_cost=1.4662, reader_cost=0.0002 | ETA 04:52:30 2020-12-16 08:04:12 [INFO] [TRAIN] epoch=183, iter=68040/80000, loss=0.1093, lr=0.001808, batch_cost=1.4942, reader_cost=0.0014 | ETA 04:57:50 2020-12-16 08:04:27 [INFO] [TRAIN] epoch=183, iter=68050/80000, loss=0.1141, lr=0.001807, batch_cost=1.5050, reader_cost=0.0024 | ETA 04:59:45 2020-12-16 08:04:43 [INFO] [TRAIN] epoch=183, iter=68060/80000, loss=0.1164, lr=0.001805, batch_cost=1.6344, reader_cost=0.0003 | ETA 05:25:14 2020-12-16 08:04:57 [INFO] [TRAIN] epoch=183, iter=68070/80000, loss=0.1091, lr=0.001804, batch_cost=1.4005, reader_cost=0.0002 | ETA 04:38:28 2020-12-16 08:05:10 [INFO] [TRAIN] epoch=184, iter=68080/80000, loss=0.1131, lr=0.001803, batch_cost=1.3264, reader_cost=0.0769 | ETA 04:23:31 2020-12-16 08:05:26 [INFO] [TRAIN] epoch=184, iter=68090/80000, loss=0.1502, lr=0.001801, batch_cost=1.5431, reader_cost=0.0002 | ETA 05:06:18 2020-12-16 08:05:40 [INFO] [TRAIN] epoch=184, iter=68100/80000, loss=0.1112, lr=0.001800, batch_cost=1.4462, reader_cost=0.0042 | ETA 04:46:49 2020-12-16 08:05:55 [INFO] [TRAIN] epoch=184, iter=68110/80000, loss=0.1091, lr=0.001799, batch_cost=1.4771, reader_cost=0.0032 | ETA 04:52:42 2020-12-16 08:06:09 [INFO] [TRAIN] epoch=184, iter=68120/80000, loss=0.0844, lr=0.001797, batch_cost=1.3437, reader_cost=0.0008 | ETA 04:26:03 2020-12-16 08:06:24 [INFO] [TRAIN] epoch=184, iter=68130/80000, loss=0.1366, lr=0.001796, batch_cost=1.5637, reader_cost=0.0002 | ETA 05:09:20 2020-12-16 08:06:39 [INFO] [TRAIN] epoch=184, iter=68140/80000, loss=0.1349, lr=0.001794, batch_cost=1.4512, reader_cost=0.0012 | ETA 04:46:51 2020-12-16 08:06:54 [INFO] [TRAIN] epoch=184, iter=68150/80000, loss=0.1152, lr=0.001793, batch_cost=1.5313, reader_cost=0.0029 | ETA 05:02:25 2020-12-16 08:07:09 [INFO] [TRAIN] epoch=184, iter=68160/80000, loss=0.1381, lr=0.001792, batch_cost=1.5089, reader_cost=0.0006 | ETA 04:57:44 2020-12-16 08:07:22 [INFO] [TRAIN] epoch=184, iter=68170/80000, loss=0.1340, lr=0.001790, batch_cost=1.3299, reader_cost=0.0013 | ETA 04:22:12 2020-12-16 08:07:36 [INFO] [TRAIN] epoch=184, iter=68180/80000, loss=0.1504, lr=0.001789, batch_cost=1.4000, reader_cost=0.0002 | ETA 04:35:48 2020-12-16 08:07:50 [INFO] [TRAIN] epoch=184, iter=68190/80000, loss=0.1459, lr=0.001788, batch_cost=1.3884, reader_cost=0.0002 | ETA 04:33:17 2020-12-16 08:08:04 [INFO] [TRAIN] epoch=184, iter=68200/80000, loss=0.1021, lr=0.001786, batch_cost=1.4100, reader_cost=0.0003 | ETA 04:37:18 2020-12-16 08:08:19 [INFO] [TRAIN] epoch=184, iter=68210/80000, loss=0.1371, lr=0.001785, batch_cost=1.4727, reader_cost=0.0050 | ETA 04:49:23 2020-12-16 08:08:33 [INFO] [TRAIN] epoch=184, iter=68220/80000, loss=0.1409, lr=0.001784, batch_cost=1.4336, reader_cost=0.0046 | ETA 04:41:28 2020-12-16 08:08:49 [INFO] [TRAIN] epoch=184, iter=68230/80000, loss=0.1100, lr=0.001782, batch_cost=1.5602, reader_cost=0.0002 | ETA 05:06:03 2020-12-16 08:09:03 [INFO] [TRAIN] epoch=184, iter=68240/80000, loss=0.1094, lr=0.001781, batch_cost=1.3624, reader_cost=0.0006 | ETA 04:27:01 2020-12-16 08:09:15 [INFO] [TRAIN] epoch=184, iter=68250/80000, loss=0.1261, lr=0.001779, batch_cost=1.2757, reader_cost=0.0071 | ETA 04:09:49 2020-12-16 08:09:28 [INFO] [TRAIN] epoch=184, iter=68260/80000, loss=0.1542, lr=0.001778, batch_cost=1.2289, reader_cost=0.0011 | ETA 04:00:26 2020-12-16 08:09:36 [INFO] [TRAIN] epoch=184, iter=68270/80000, loss=0.1176, lr=0.001777, batch_cost=0.8291, reader_cost=0.0001 | ETA 02:42:05 2020-12-16 08:09:44 [INFO] [TRAIN] epoch=184, iter=68280/80000, loss=0.2801, lr=0.001775, batch_cost=0.8038, reader_cost=0.0001 | ETA 02:37:01 2020-12-16 08:09:53 [INFO] [TRAIN] epoch=184, iter=68290/80000, loss=0.1228, lr=0.001774, batch_cost=0.9323, reader_cost=0.0001 | ETA 03:01:56 2020-12-16 08:10:07 [INFO] [TRAIN] epoch=184, iter=68300/80000, loss=0.1397, lr=0.001773, batch_cost=1.3080, reader_cost=0.0010 | ETA 04:15:04 2020-12-16 08:10:19 [INFO] [TRAIN] epoch=184, iter=68310/80000, loss=0.1699, lr=0.001771, batch_cost=1.2884, reader_cost=0.0002 | ETA 04:11:01 2020-12-16 08:10:35 [INFO] [TRAIN] epoch=184, iter=68320/80000, loss=0.1221, lr=0.001770, batch_cost=1.5270, reader_cost=0.0017 | ETA 04:57:15 2020-12-16 08:10:49 [INFO] [TRAIN] epoch=184, iter=68330/80000, loss=0.1140, lr=0.001769, batch_cost=1.4816, reader_cost=0.0009 | ETA 04:48:10 2020-12-16 08:11:04 [INFO] [TRAIN] epoch=184, iter=68340/80000, loss=0.1528, lr=0.001767, batch_cost=1.4731, reader_cost=0.0022 | ETA 04:46:15 2020-12-16 08:11:19 [INFO] [TRAIN] epoch=184, iter=68350/80000, loss=0.1823, lr=0.001766, batch_cost=1.4637, reader_cost=0.0092 | ETA 04:44:12 2020-12-16 08:11:34 [INFO] [TRAIN] epoch=184, iter=68360/80000, loss=0.1396, lr=0.001764, batch_cost=1.4683, reader_cost=0.0025 | ETA 04:44:50 2020-12-16 08:11:48 [INFO] [TRAIN] epoch=184, iter=68370/80000, loss=0.1787, lr=0.001763, batch_cost=1.4271, reader_cost=0.0011 | ETA 04:36:37 2020-12-16 08:12:02 [INFO] [TRAIN] epoch=184, iter=68380/80000, loss=0.1402, lr=0.001762, batch_cost=1.4054, reader_cost=0.0013 | ETA 04:32:10 2020-12-16 08:12:16 [INFO] [TRAIN] epoch=184, iter=68390/80000, loss=0.1853, lr=0.001760, batch_cost=1.4001, reader_cost=0.0011 | ETA 04:30:54 2020-12-16 08:12:31 [INFO] [TRAIN] epoch=184, iter=68400/80000, loss=0.1140, lr=0.001759, batch_cost=1.5558, reader_cost=0.0020 | ETA 05:00:47 2020-12-16 08:12:46 [INFO] [TRAIN] epoch=184, iter=68410/80000, loss=0.1662, lr=0.001758, batch_cost=1.4463, reader_cost=0.0016 | ETA 04:39:22 2020-12-16 08:12:59 [INFO] [TRAIN] epoch=184, iter=68420/80000, loss=0.1559, lr=0.001756, batch_cost=1.3350, reader_cost=0.0014 | ETA 04:17:39 2020-12-16 08:13:13 [INFO] [TRAIN] epoch=184, iter=68430/80000, loss=0.1339, lr=0.001755, batch_cost=1.3442, reader_cost=0.0034 | ETA 04:19:12 2020-12-16 08:13:28 [INFO] [TRAIN] epoch=184, iter=68440/80000, loss=0.1465, lr=0.001754, batch_cost=1.4915, reader_cost=0.0002 | ETA 04:47:21 2020-12-16 08:13:40 [INFO] [TRAIN] epoch=185, iter=68450/80000, loss=0.1399, lr=0.001752, batch_cost=1.2594, reader_cost=0.0658 | ETA 04:02:25 2020-12-16 08:13:56 [INFO] [TRAIN] epoch=185, iter=68460/80000, loss=0.1463, lr=0.001751, batch_cost=1.5778, reader_cost=0.0002 | ETA 05:03:28 2020-12-16 08:14:11 [INFO] [TRAIN] epoch=185, iter=68470/80000, loss=0.1353, lr=0.001749, batch_cost=1.5020, reader_cost=0.0012 | ETA 04:48:38 2020-12-16 08:14:25 [INFO] [TRAIN] epoch=185, iter=68480/80000, loss=0.1675, lr=0.001748, batch_cost=1.3796, reader_cost=0.0013 | ETA 04:24:53 2020-12-16 08:14:39 [INFO] [TRAIN] epoch=185, iter=68490/80000, loss=0.1280, lr=0.001747, batch_cost=1.4596, reader_cost=0.0028 | ETA 04:39:59 2020-12-16 08:14:54 [INFO] [TRAIN] epoch=185, iter=68500/80000, loss=0.0947, lr=0.001745, batch_cost=1.5010, reader_cost=0.0002 | ETA 04:47:40 2020-12-16 08:15:05 [INFO] [TRAIN] epoch=185, iter=68510/80000, loss=0.1376, lr=0.001744, batch_cost=1.0382, reader_cost=0.0018 | ETA 03:18:49 2020-12-16 08:15:13 [INFO] [TRAIN] epoch=185, iter=68520/80000, loss=0.1430, lr=0.001743, batch_cost=0.8106, reader_cost=0.0001 | ETA 02:35:05 2020-12-16 08:15:21 [INFO] [TRAIN] epoch=185, iter=68530/80000, loss=0.1108, lr=0.001741, batch_cost=0.8162, reader_cost=0.0001 | ETA 02:36:01 2020-12-16 08:15:29 [INFO] [TRAIN] epoch=185, iter=68540/80000, loss=0.1617, lr=0.001740, batch_cost=0.8228, reader_cost=0.0001 | ETA 02:37:09 2020-12-16 08:15:40 [INFO] [TRAIN] epoch=185, iter=68550/80000, loss=0.1067, lr=0.001739, batch_cost=1.0335, reader_cost=0.0001 | ETA 03:17:13 2020-12-16 08:15:54 [INFO] [TRAIN] epoch=185, iter=68560/80000, loss=0.1174, lr=0.001737, batch_cost=1.4433, reader_cost=0.0022 | ETA 04:35:11 2020-12-16 08:16:10 [INFO] [TRAIN] epoch=185, iter=68570/80000, loss=0.1326, lr=0.001736, batch_cost=1.5515, reader_cost=0.0007 | ETA 04:55:33 2020-12-16 08:16:25 [INFO] [TRAIN] epoch=185, iter=68580/80000, loss=0.1275, lr=0.001734, batch_cost=1.5913, reader_cost=0.0014 | ETA 05:02:52 2020-12-16 08:16:41 [INFO] [TRAIN] epoch=185, iter=68590/80000, loss=0.1304, lr=0.001733, batch_cost=1.5051, reader_cost=0.0012 | ETA 04:46:12 2020-12-16 08:16:54 [INFO] [TRAIN] epoch=185, iter=68600/80000, loss=0.1583, lr=0.001732, batch_cost=1.3832, reader_cost=0.0014 | ETA 04:22:48 2020-12-16 08:17:09 [INFO] [TRAIN] epoch=185, iter=68610/80000, loss=0.1287, lr=0.001730, batch_cost=1.4713, reader_cost=0.0002 | ETA 04:39:17 2020-12-16 08:17:23 [INFO] [TRAIN] epoch=185, iter=68620/80000, loss=0.1529, lr=0.001729, batch_cost=1.4023, reader_cost=0.0039 | ETA 04:25:57 2020-12-16 08:17:32 [INFO] [TRAIN] epoch=185, iter=68630/80000, loss=0.1343, lr=0.001728, batch_cost=0.8937, reader_cost=0.0001 | ETA 02:49:21 2020-12-16 08:17:41 [INFO] [TRAIN] epoch=185, iter=68640/80000, loss=0.1314, lr=0.001726, batch_cost=0.8724, reader_cost=0.0001 | ETA 02:45:10 2020-12-16 08:17:50 [INFO] [TRAIN] epoch=185, iter=68650/80000, loss=0.1670, lr=0.001725, batch_cost=0.9063, reader_cost=0.0001 | ETA 02:51:26 2020-12-16 08:18:02 [INFO] [TRAIN] epoch=185, iter=68660/80000, loss=0.1283, lr=0.001723, batch_cost=1.2571, reader_cost=0.0002 | ETA 03:57:35 2020-12-16 08:18:16 [INFO] [TRAIN] epoch=185, iter=68670/80000, loss=0.1245, lr=0.001722, batch_cost=1.3800, reader_cost=0.0002 | ETA 04:20:35 2020-12-16 08:18:31 [INFO] [TRAIN] epoch=185, iter=68680/80000, loss=0.1570, lr=0.001721, batch_cost=1.4503, reader_cost=0.0014 | ETA 04:33:36 2020-12-16 08:18:45 [INFO] [TRAIN] epoch=185, iter=68690/80000, loss=0.1367, lr=0.001719, batch_cost=1.3833, reader_cost=0.0007 | ETA 04:20:45 2020-12-16 08:18:59 [INFO] [TRAIN] epoch=185, iter=68700/80000, loss=0.1097, lr=0.001718, batch_cost=1.4389, reader_cost=0.0016 | ETA 04:30:59 2020-12-16 08:19:14 [INFO] [TRAIN] epoch=185, iter=68710/80000, loss=0.1412, lr=0.001717, batch_cost=1.5336, reader_cost=0.0002 | ETA 04:48:33 2020-12-16 08:19:29 [INFO] [TRAIN] epoch=185, iter=68720/80000, loss=0.1134, lr=0.001715, batch_cost=1.4553, reader_cost=0.0023 | ETA 04:33:35 2020-12-16 08:19:43 [INFO] [TRAIN] epoch=185, iter=68730/80000, loss=0.1535, lr=0.001714, batch_cost=1.4112, reader_cost=0.0003 | ETA 04:25:03 2020-12-16 08:19:56 [INFO] [TRAIN] epoch=185, iter=68740/80000, loss=0.1660, lr=0.001713, batch_cost=1.3305, reader_cost=0.0024 | ETA 04:09:41 2020-12-16 08:20:12 [INFO] [TRAIN] epoch=185, iter=68750/80000, loss=0.1474, lr=0.001711, batch_cost=1.5519, reader_cost=0.0010 | ETA 04:50:58 2020-12-16 08:20:27 [INFO] [TRAIN] epoch=185, iter=68760/80000, loss=0.1364, lr=0.001710, batch_cost=1.4914, reader_cost=0.0031 | ETA 04:39:22 2020-12-16 08:20:42 [INFO] [TRAIN] epoch=185, iter=68770/80000, loss=0.1365, lr=0.001708, batch_cost=1.5244, reader_cost=0.0006 | ETA 04:45:18 2020-12-16 08:20:58 [INFO] [TRAIN] epoch=185, iter=68780/80000, loss=0.1304, lr=0.001707, batch_cost=1.5992, reader_cost=0.0028 | ETA 04:59:02 2020-12-16 08:21:14 [INFO] [TRAIN] epoch=185, iter=68790/80000, loss=0.1240, lr=0.001706, batch_cost=1.6023, reader_cost=0.0002 | ETA 04:59:21 2020-12-16 08:21:30 [INFO] [TRAIN] epoch=185, iter=68800/80000, loss=0.1562, lr=0.001704, batch_cost=1.6023, reader_cost=0.0002 | ETA 04:59:05 2020-12-16 08:21:44 [INFO] [TRAIN] epoch=185, iter=68810/80000, loss=0.1273, lr=0.001703, batch_cost=1.4389, reader_cost=0.0012 | ETA 04:28:20 2020-12-16 08:21:56 [INFO] [TRAIN] epoch=185, iter=68820/80000, loss=0.1086, lr=0.001702, batch_cost=1.1406, reader_cost=0.0002 | ETA 03:32:32 2020-12-16 08:22:12 [INFO] [TRAIN] epoch=186, iter=68830/80000, loss=0.1329, lr=0.001700, batch_cost=1.6655, reader_cost=0.0931 | ETA 05:10:03 2020-12-16 08:22:27 [INFO] [TRAIN] epoch=186, iter=68840/80000, loss=0.1286, lr=0.001699, batch_cost=1.4622, reader_cost=0.0002 | ETA 04:31:57 2020-12-16 08:22:43 [INFO] [TRAIN] epoch=186, iter=68850/80000, loss=0.2240, lr=0.001697, batch_cost=1.5494, reader_cost=0.0002 | ETA 04:47:55 2020-12-16 08:22:58 [INFO] [TRAIN] epoch=186, iter=68860/80000, loss=0.1428, lr=0.001696, batch_cost=1.5602, reader_cost=0.0051 | ETA 04:49:40 2020-12-16 08:23:13 [INFO] [TRAIN] epoch=186, iter=68870/80000, loss=0.1144, lr=0.001695, batch_cost=1.4351, reader_cost=0.0002 | ETA 04:26:12 2020-12-16 08:23:28 [INFO] [TRAIN] epoch=186, iter=68880/80000, loss=0.1737, lr=0.001693, batch_cost=1.5015, reader_cost=0.0002 | ETA 04:38:16 2020-12-16 08:23:43 [INFO] [TRAIN] epoch=186, iter=68890/80000, loss=0.1137, lr=0.001692, batch_cost=1.5849, reader_cost=0.0015 | ETA 04:53:28 2020-12-16 08:23:59 [INFO] [TRAIN] epoch=186, iter=68900/80000, loss=0.1945, lr=0.001691, batch_cost=1.5296, reader_cost=0.0046 | ETA 04:42:58 2020-12-16 08:24:14 [INFO] [TRAIN] epoch=186, iter=68910/80000, loss=0.1434, lr=0.001689, batch_cost=1.4818, reader_cost=0.0003 | ETA 04:33:52 2020-12-16 08:24:28 [INFO] [TRAIN] epoch=186, iter=68920/80000, loss=0.1277, lr=0.001688, batch_cost=1.4480, reader_cost=0.0002 | ETA 04:27:23 2020-12-16 08:24:42 [INFO] [TRAIN] epoch=186, iter=68930/80000, loss=0.1737, lr=0.001687, batch_cost=1.4119, reader_cost=0.0013 | ETA 04:20:29 2020-12-16 08:24:58 [INFO] [TRAIN] epoch=186, iter=68940/80000, loss=0.1274, lr=0.001685, batch_cost=1.5913, reader_cost=0.0027 | ETA 04:53:20 2020-12-16 08:25:09 [INFO] [TRAIN] epoch=186, iter=68950/80000, loss=0.1500, lr=0.001684, batch_cost=1.0843, reader_cost=0.0007 | ETA 03:19:41 2020-12-16 08:25:17 [INFO] [TRAIN] epoch=186, iter=68960/80000, loss=0.2037, lr=0.001682, batch_cost=0.8400, reader_cost=0.0001 | ETA 02:34:33 2020-12-16 08:25:25 [INFO] [TRAIN] epoch=186, iter=68970/80000, loss=0.1346, lr=0.001681, batch_cost=0.8106, reader_cost=0.0001 | ETA 02:29:01 2020-12-16 08:25:35 [INFO] [TRAIN] epoch=186, iter=68980/80000, loss=0.1457, lr=0.001680, batch_cost=0.9600, reader_cost=0.0002 | ETA 02:56:19 2020-12-16 08:25:49 [INFO] [TRAIN] epoch=186, iter=68990/80000, loss=0.1370, lr=0.001678, batch_cost=1.4087, reader_cost=0.0024 | ETA 04:18:29 2020-12-16 08:26:03 [INFO] [TRAIN] epoch=186, iter=69000/80000, loss=0.1223, lr=0.001677, batch_cost=1.3917, reader_cost=0.0029 | ETA 04:15:08 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 08:26:03 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 08:27:09 [INFO] [EVAL] #Images=500 mIoU=0.7937 Acc=0.9623 Kappa=0.9510 2020-12-16 08:27:09 [INFO] [EVAL] Class IoU: [0.9827 0.86 0.9286 0.5803 0.6275 0.6143 0.7142 0.7888 0.925 0.6609 0.9484 0.8226 0.651 0.952 0.8208 0.9122 0.8376 0.6742 0.7798] 2020-12-16 08:27:09 [INFO] [EVAL] Class Acc: [0.9925 0.9242 0.9559 0.8579 0.815 0.7931 0.8382 0.9018 0.9574 0.8296 0.9682 0.8889 0.8246 0.9734 0.8894 0.9531 0.9577 0.8411 0.8599] 2020-12-16 08:27:19 [INFO] [EVAL] The model with the best validation mIoU (0.7960) was saved at iter 64000. 2020-12-16 08:27:32 [INFO] [TRAIN] epoch=186, iter=69010/80000, loss=0.1517, lr=0.001676, batch_cost=1.3105, reader_cost=0.0002 | ETA 04:00:02 2020-12-16 08:27:48 [INFO] [TRAIN] epoch=186, iter=69020/80000, loss=0.1500, lr=0.001674, batch_cost=1.6093, reader_cost=0.0011 | ETA 04:54:30 2020-12-16 08:28:03 [INFO] [TRAIN] epoch=186, iter=69030/80000, loss=0.1085, lr=0.001673, batch_cost=1.4991, reader_cost=0.0002 | ETA 04:34:05 2020-12-16 08:28:19 [INFO] [TRAIN] epoch=186, iter=69040/80000, loss=0.1578, lr=0.001671, batch_cost=1.5361, reader_cost=0.0036 | ETA 04:40:35 2020-12-16 08:28:32 [INFO] [TRAIN] epoch=186, iter=69050/80000, loss=0.1405, lr=0.001670, batch_cost=1.3666, reader_cost=0.0037 | ETA 04:09:24 2020-12-16 08:28:48 [INFO] [TRAIN] epoch=186, iter=69060/80000, loss=0.1111, lr=0.001669, batch_cost=1.5277, reader_cost=0.0002 | ETA 04:38:33 2020-12-16 08:29:03 [INFO] [TRAIN] epoch=186, iter=69070/80000, loss=0.0866, lr=0.001667, batch_cost=1.5105, reader_cost=0.0023 | ETA 04:35:09 2020-12-16 08:29:16 [INFO] [TRAIN] epoch=186, iter=69080/80000, loss=0.1755, lr=0.001666, batch_cost=1.3262, reader_cost=0.0043 | ETA 04:01:21 2020-12-16 08:29:30 [INFO] [TRAIN] epoch=186, iter=69090/80000, loss=0.1068, lr=0.001665, batch_cost=1.4080, reader_cost=0.0014 | ETA 04:16:00 2020-12-16 08:29:45 [INFO] [TRAIN] epoch=186, iter=69100/80000, loss=0.2413, lr=0.001663, batch_cost=1.4530, reader_cost=0.0007 | ETA 04:23:57 2020-12-16 08:29:59 [INFO] [TRAIN] epoch=186, iter=69110/80000, loss=0.1184, lr=0.001662, batch_cost=1.4574, reader_cost=0.0019 | ETA 04:24:30 2020-12-16 08:30:15 [INFO] [TRAIN] epoch=186, iter=69120/80000, loss=0.1374, lr=0.001660, batch_cost=1.5678, reader_cost=0.0002 | ETA 04:44:18 2020-12-16 08:30:29 [INFO] [TRAIN] epoch=186, iter=69130/80000, loss=0.1541, lr=0.001659, batch_cost=1.4558, reader_cost=0.0002 | ETA 04:23:44 2020-12-16 08:30:44 [INFO] [TRAIN] epoch=186, iter=69140/80000, loss=0.1058, lr=0.001658, batch_cost=1.4282, reader_cost=0.0024 | ETA 04:18:30 2020-12-16 08:30:58 [INFO] [TRAIN] epoch=186, iter=69150/80000, loss=0.2053, lr=0.001656, batch_cost=1.4633, reader_cost=0.0023 | ETA 04:24:36 2020-12-16 08:31:13 [INFO] [TRAIN] epoch=186, iter=69160/80000, loss=0.1417, lr=0.001655, batch_cost=1.4328, reader_cost=0.0003 | ETA 04:18:51 2020-12-16 08:31:27 [INFO] [TRAIN] epoch=186, iter=69170/80000, loss=0.1290, lr=0.001654, batch_cost=1.4607, reader_cost=0.0003 | ETA 04:23:39 2020-12-16 08:31:43 [INFO] [TRAIN] epoch=186, iter=69180/80000, loss=0.1441, lr=0.001652, batch_cost=1.5783, reader_cost=0.0002 | ETA 04:44:36 2020-12-16 08:31:56 [INFO] [TRAIN] epoch=186, iter=69190/80000, loss=0.1225, lr=0.001651, batch_cost=1.2713, reader_cost=0.0018 | ETA 03:49:02 2020-12-16 08:32:11 [INFO] [TRAIN] epoch=187, iter=69200/80000, loss=0.1484, lr=0.001649, batch_cost=1.5177, reader_cost=0.0661 | ETA 04:33:11 2020-12-16 08:32:26 [INFO] [TRAIN] epoch=187, iter=69210/80000, loss=0.1106, lr=0.001648, batch_cost=1.5062, reader_cost=0.0002 | ETA 04:30:51 2020-12-16 08:32:43 [INFO] [TRAIN] epoch=187, iter=69220/80000, loss=0.1458, lr=0.001647, batch_cost=1.6757, reader_cost=0.0063 | ETA 05:01:04 2020-12-16 08:32:58 [INFO] [TRAIN] epoch=187, iter=69230/80000, loss=0.1277, lr=0.001645, batch_cost=1.4710, reader_cost=0.0032 | ETA 04:24:02 2020-12-16 08:33:08 [INFO] [TRAIN] epoch=187, iter=69240/80000, loss=0.1492, lr=0.001644, batch_cost=1.0711, reader_cost=0.0014 | ETA 03:12:05 2020-12-16 08:33:17 [INFO] [TRAIN] epoch=187, iter=69250/80000, loss=0.1831, lr=0.001643, batch_cost=0.8841, reader_cost=0.0001 | ETA 02:38:23 2020-12-16 08:33:26 [INFO] [TRAIN] epoch=187, iter=69260/80000, loss=0.1072, lr=0.001641, batch_cost=0.8776, reader_cost=0.0001 | ETA 02:37:05 2020-12-16 08:33:36 [INFO] [TRAIN] epoch=187, iter=69270/80000, loss=0.1665, lr=0.001640, batch_cost=0.9912, reader_cost=0.0002 | ETA 02:57:15 2020-12-16 08:33:51 [INFO] [TRAIN] epoch=187, iter=69280/80000, loss=0.1796, lr=0.001638, batch_cost=1.4719, reader_cost=0.0003 | ETA 04:22:58 2020-12-16 08:34:05 [INFO] [TRAIN] epoch=187, iter=69290/80000, loss=0.1442, lr=0.001637, batch_cost=1.4671, reader_cost=0.0012 | ETA 04:21:53 2020-12-16 08:34:19 [INFO] [TRAIN] epoch=187, iter=69300/80000, loss=0.1457, lr=0.001636, batch_cost=1.3877, reader_cost=0.0002 | ETA 04:07:27 2020-12-16 08:34:34 [INFO] [TRAIN] epoch=187, iter=69310/80000, loss=0.1362, lr=0.001634, batch_cost=1.5263, reader_cost=0.0015 | ETA 04:31:55 2020-12-16 08:34:49 [INFO] [TRAIN] epoch=187, iter=69320/80000, loss=0.1652, lr=0.001633, batch_cost=1.4184, reader_cost=0.0010 | ETA 04:12:28 2020-12-16 08:35:03 [INFO] [TRAIN] epoch=187, iter=69330/80000, loss=0.1059, lr=0.001632, batch_cost=1.4224, reader_cost=0.0033 | ETA 04:12:56 2020-12-16 08:35:19 [INFO] [TRAIN] epoch=187, iter=69340/80000, loss=0.1681, lr=0.001630, batch_cost=1.6051, reader_cost=0.0034 | ETA 04:45:09 2020-12-16 08:35:34 [INFO] [TRAIN] epoch=187, iter=69350/80000, loss=0.1509, lr=0.001629, batch_cost=1.5243, reader_cost=0.0016 | ETA 04:30:33 2020-12-16 08:35:50 [INFO] [TRAIN] epoch=187, iter=69360/80000, loss=0.1418, lr=0.001627, batch_cost=1.5480, reader_cost=0.0007 | ETA 04:34:30 2020-12-16 08:36:05 [INFO] [TRAIN] epoch=187, iter=69370/80000, loss=0.1628, lr=0.001626, batch_cost=1.5861, reader_cost=0.0002 | ETA 04:40:59 2020-12-16 08:36:21 [INFO] [TRAIN] epoch=187, iter=69380/80000, loss=0.1387, lr=0.001625, batch_cost=1.5529, reader_cost=0.0020 | ETA 04:34:51 2020-12-16 08:36:35 [INFO] [TRAIN] epoch=187, iter=69390/80000, loss=0.2130, lr=0.001623, batch_cost=1.4124, reader_cost=0.0100 | ETA 04:09:45 2020-12-16 08:36:50 [INFO] [TRAIN] epoch=187, iter=69400/80000, loss=0.1450, lr=0.001622, batch_cost=1.4837, reader_cost=0.0002 | ETA 04:22:07 2020-12-16 08:37:04 [INFO] [TRAIN] epoch=187, iter=69410/80000, loss=0.1339, lr=0.001621, batch_cost=1.4508, reader_cost=0.0033 | ETA 04:16:03 2020-12-16 08:37:19 [INFO] [TRAIN] epoch=187, iter=69420/80000, loss=0.1719, lr=0.001619, batch_cost=1.4820, reader_cost=0.0027 | ETA 04:21:19 2020-12-16 08:37:34 [INFO] [TRAIN] epoch=187, iter=69430/80000, loss=0.1106, lr=0.001618, batch_cost=1.4618, reader_cost=0.0013 | ETA 04:17:31 2020-12-16 08:37:48 [INFO] [TRAIN] epoch=187, iter=69440/80000, loss=0.1344, lr=0.001616, batch_cost=1.4661, reader_cost=0.0018 | ETA 04:18:02 2020-12-16 08:38:03 [INFO] [TRAIN] epoch=187, iter=69450/80000, loss=0.1441, lr=0.001615, batch_cost=1.4251, reader_cost=0.0018 | ETA 04:10:34 2020-12-16 08:38:17 [INFO] [TRAIN] epoch=187, iter=69460/80000, loss=0.1269, lr=0.001614, batch_cost=1.4489, reader_cost=0.0003 | ETA 04:14:30 2020-12-16 08:38:32 [INFO] [TRAIN] epoch=187, iter=69470/80000, loss=0.1547, lr=0.001612, batch_cost=1.4290, reader_cost=0.0014 | ETA 04:10:47 2020-12-16 08:38:46 [INFO] [TRAIN] epoch=187, iter=69480/80000, loss=0.1348, lr=0.001611, batch_cost=1.4404, reader_cost=0.0002 | ETA 04:12:32 2020-12-16 08:39:00 [INFO] [TRAIN] epoch=187, iter=69490/80000, loss=0.1332, lr=0.001610, batch_cost=1.4474, reader_cost=0.0017 | ETA 04:13:31 2020-12-16 08:39:16 [INFO] [TRAIN] epoch=187, iter=69500/80000, loss=0.1181, lr=0.001608, batch_cost=1.5360, reader_cost=0.0002 | ETA 04:28:47 2020-12-16 08:39:29 [INFO] [TRAIN] epoch=187, iter=69510/80000, loss=0.1409, lr=0.001607, batch_cost=1.3484, reader_cost=0.0009 | ETA 03:55:45 2020-12-16 08:39:42 [INFO] [TRAIN] epoch=187, iter=69520/80000, loss=0.1040, lr=0.001605, batch_cost=1.3052, reader_cost=0.0013 | ETA 03:47:58 2020-12-16 08:39:57 [INFO] [TRAIN] epoch=187, iter=69530/80000, loss=0.1251, lr=0.001604, batch_cost=1.4628, reader_cost=0.0002 | ETA 04:15:15 2020-12-16 08:40:12 [INFO] [TRAIN] epoch=187, iter=69540/80000, loss=0.1023, lr=0.001603, batch_cost=1.5380, reader_cost=0.0002 | ETA 04:28:07 2020-12-16 08:40:27 [INFO] [TRAIN] epoch=187, iter=69550/80000, loss=0.1269, lr=0.001601, batch_cost=1.5123, reader_cost=0.0015 | ETA 04:23:23 2020-12-16 08:40:39 [INFO] [TRAIN] epoch=187, iter=69560/80000, loss=0.1677, lr=0.001600, batch_cost=1.1715, reader_cost=0.0003 | ETA 03:23:50 2020-12-16 08:40:53 [INFO] [TRAIN] epoch=188, iter=69570/80000, loss=0.1452, lr=0.001598, batch_cost=1.4003, reader_cost=0.0560 | ETA 04:03:25 2020-12-16 08:41:07 [INFO] [TRAIN] epoch=188, iter=69580/80000, loss=0.1215, lr=0.001597, batch_cost=1.3864, reader_cost=0.0011 | ETA 04:00:45 2020-12-16 08:41:18 [INFO] [TRAIN] epoch=188, iter=69590/80000, loss=0.1369, lr=0.001596, batch_cost=1.0672, reader_cost=0.0019 | ETA 03:05:10 2020-12-16 08:41:26 [INFO] [TRAIN] epoch=188, iter=69600/80000, loss=0.1366, lr=0.001594, batch_cost=0.8233, reader_cost=0.0001 | ETA 02:22:41 2020-12-16 08:41:34 [INFO] [TRAIN] epoch=188, iter=69610/80000, loss=0.1501, lr=0.001593, batch_cost=0.8349, reader_cost=0.0001 | ETA 02:24:34 2020-12-16 08:41:43 [INFO] [TRAIN] epoch=188, iter=69620/80000, loss=0.1037, lr=0.001592, batch_cost=0.9123, reader_cost=0.0001 | ETA 02:37:49 2020-12-16 08:41:56 [INFO] [TRAIN] epoch=188, iter=69630/80000, loss=0.1557, lr=0.001590, batch_cost=1.2379, reader_cost=0.0016 | ETA 03:33:56 2020-12-16 08:42:11 [INFO] [TRAIN] epoch=188, iter=69640/80000, loss=0.1519, lr=0.001589, batch_cost=1.5034, reader_cost=0.0023 | ETA 04:19:34 2020-12-16 08:42:25 [INFO] [TRAIN] epoch=188, iter=69650/80000, loss=0.1242, lr=0.001587, batch_cost=1.4499, reader_cost=0.0017 | ETA 04:10:06 2020-12-16 08:42:40 [INFO] [TRAIN] epoch=188, iter=69660/80000, loss=0.1164, lr=0.001586, batch_cost=1.4179, reader_cost=0.0002 | ETA 04:04:21 2020-12-16 08:42:55 [INFO] [TRAIN] epoch=188, iter=69670/80000, loss=0.1567, lr=0.001585, batch_cost=1.5319, reader_cost=0.0002 | ETA 04:23:44 2020-12-16 08:43:10 [INFO] [TRAIN] epoch=188, iter=69680/80000, loss=0.1462, lr=0.001583, batch_cost=1.4980, reader_cost=0.0002 | ETA 04:17:39 2020-12-16 08:43:25 [INFO] [TRAIN] epoch=188, iter=69690/80000, loss=0.1259, lr=0.001582, batch_cost=1.4996, reader_cost=0.0094 | ETA 04:17:40 2020-12-16 08:43:39 [INFO] [TRAIN] epoch=188, iter=69700/80000, loss=0.2009, lr=0.001581, batch_cost=1.4415, reader_cost=0.0027 | ETA 04:07:27 2020-12-16 08:43:54 [INFO] [TRAIN] epoch=188, iter=69710/80000, loss=0.1412, lr=0.001579, batch_cost=1.4532, reader_cost=0.0072 | ETA 04:09:13 2020-12-16 08:44:10 [INFO] [TRAIN] epoch=188, iter=69720/80000, loss=0.1175, lr=0.001578, batch_cost=1.6082, reader_cost=0.0014 | ETA 04:35:32 2020-12-16 08:44:25 [INFO] [TRAIN] epoch=188, iter=69730/80000, loss=0.1857, lr=0.001576, batch_cost=1.5125, reader_cost=0.0002 | ETA 04:18:53 2020-12-16 08:44:40 [INFO] [TRAIN] epoch=188, iter=69740/80000, loss=0.1226, lr=0.001575, batch_cost=1.4828, reader_cost=0.0007 | ETA 04:13:33 2020-12-16 08:44:56 [INFO] [TRAIN] epoch=188, iter=69750/80000, loss=0.1356, lr=0.001574, batch_cost=1.5718, reader_cost=0.0002 | ETA 04:28:31 2020-12-16 08:45:10 [INFO] [TRAIN] epoch=188, iter=69760/80000, loss=0.1440, lr=0.001572, batch_cost=1.4020, reader_cost=0.0002 | ETA 03:59:16 2020-12-16 08:45:25 [INFO] [TRAIN] epoch=188, iter=69770/80000, loss=0.1429, lr=0.001571, batch_cost=1.5034, reader_cost=0.0038 | ETA 04:16:19 2020-12-16 08:45:39 [INFO] [TRAIN] epoch=188, iter=69780/80000, loss=0.1155, lr=0.001570, batch_cost=1.3956, reader_cost=0.0015 | ETA 03:57:42 2020-12-16 08:45:53 [INFO] [TRAIN] epoch=188, iter=69790/80000, loss=0.1391, lr=0.001568, batch_cost=1.4639, reader_cost=0.0015 | ETA 04:09:06 2020-12-16 08:46:08 [INFO] [TRAIN] epoch=188, iter=69800/80000, loss=0.1118, lr=0.001567, batch_cost=1.5160, reader_cost=0.0014 | ETA 04:17:42 2020-12-16 08:46:23 [INFO] [TRAIN] epoch=188, iter=69810/80000, loss=0.1172, lr=0.001565, batch_cost=1.5082, reader_cost=0.0042 | ETA 04:16:08 2020-12-16 08:46:37 [INFO] [TRAIN] epoch=188, iter=69820/80000, loss=0.1398, lr=0.001564, batch_cost=1.3427, reader_cost=0.0010 | ETA 03:47:48 2020-12-16 08:46:51 [INFO] [TRAIN] epoch=188, iter=69830/80000, loss=0.1714, lr=0.001563, batch_cost=1.4312, reader_cost=0.0002 | ETA 04:02:34 2020-12-16 08:47:05 [INFO] [TRAIN] epoch=188, iter=69840/80000, loss=0.1071, lr=0.001561, batch_cost=1.4016, reader_cost=0.0024 | ETA 03:57:20 2020-12-16 08:47:20 [INFO] [TRAIN] epoch=188, iter=69850/80000, loss=0.1315, lr=0.001560, batch_cost=1.4588, reader_cost=0.0007 | ETA 04:06:47 2020-12-16 08:47:34 [INFO] [TRAIN] epoch=188, iter=69860/80000, loss=0.1408, lr=0.001558, batch_cost=1.4332, reader_cost=0.0018 | ETA 04:02:12 2020-12-16 08:47:48 [INFO] [TRAIN] epoch=188, iter=69870/80000, loss=0.1437, lr=0.001557, batch_cost=1.3702, reader_cost=0.0034 | ETA 03:51:19 2020-12-16 08:48:02 [INFO] [TRAIN] epoch=188, iter=69880/80000, loss=0.1075, lr=0.001556, batch_cost=1.4681, reader_cost=0.0015 | ETA 04:07:37 2020-12-16 08:48:19 [INFO] [TRAIN] epoch=188, iter=69890/80000, loss=0.1425, lr=0.001554, batch_cost=1.6272, reader_cost=0.0006 | ETA 04:34:10 2020-12-16 08:48:33 [INFO] [TRAIN] epoch=188, iter=69900/80000, loss=0.1297, lr=0.001553, batch_cost=1.3973, reader_cost=0.0002 | ETA 03:55:13 2020-12-16 08:48:47 [INFO] [TRAIN] epoch=188, iter=69910/80000, loss=0.1829, lr=0.001552, batch_cost=1.4722, reader_cost=0.0031 | ETA 04:07:34 2020-12-16 08:49:03 [INFO] [TRAIN] epoch=188, iter=69920/80000, loss=0.1552, lr=0.001550, batch_cost=1.5226, reader_cost=0.0022 | ETA 04:15:47 2020-12-16 08:49:17 [INFO] [TRAIN] epoch=188, iter=69930/80000, loss=0.1121, lr=0.001549, batch_cost=1.4303, reader_cost=0.0003 | ETA 04:00:03 2020-12-16 08:49:26 [INFO] [TRAIN] epoch=189, iter=69940/80000, loss=0.1332, lr=0.001547, batch_cost=0.9277, reader_cost=0.0734 | ETA 02:35:32 2020-12-16 08:49:35 [INFO] [TRAIN] epoch=189, iter=69950/80000, loss=0.1525, lr=0.001546, batch_cost=0.8403, reader_cost=0.0001 | ETA 02:20:45 2020-12-16 08:49:44 [INFO] [TRAIN] epoch=189, iter=69960/80000, loss=0.1211, lr=0.001545, batch_cost=0.8958, reader_cost=0.0001 | ETA 02:29:53 2020-12-16 08:49:55 [INFO] [TRAIN] epoch=189, iter=69970/80000, loss=0.1349, lr=0.001543, batch_cost=1.0949, reader_cost=0.0002 | ETA 03:03:01 2020-12-16 08:50:09 [INFO] [TRAIN] epoch=189, iter=69980/80000, loss=0.1718, lr=0.001542, batch_cost=1.4399, reader_cost=0.0003 | ETA 04:00:27 2020-12-16 08:50:24 [INFO] [TRAIN] epoch=189, iter=69990/80000, loss=0.1269, lr=0.001540, batch_cost=1.4569, reader_cost=0.0018 | ETA 04:03:04 2020-12-16 08:50:38 [INFO] [TRAIN] epoch=189, iter=70000/80000, loss=0.1455, lr=0.001539, batch_cost=1.4150, reader_cost=0.0038 | ETA 03:55:49 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 08:50:38 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 08:51:47 [INFO] [EVAL] #Images=500 mIoU=0.7961 Acc=0.9629 Kappa=0.9518 2020-12-16 08:51:47 [INFO] [EVAL] Class IoU: [0.9836 0.8635 0.9289 0.5991 0.6353 0.6217 0.7155 0.7886 0.9261 0.6733 0.9494 0.8156 0.6153 0.9527 0.8353 0.9203 0.8527 0.6717 0.7767] 2020-12-16 08:51:47 [INFO] [EVAL] Class Acc: [0.9932 0.9241 0.9586 0.8621 0.8357 0.7829 0.8282 0.903 0.9557 0.8402 0.9709 0.8767 0.7984 0.9736 0.9131 0.9602 0.9513 0.8001 0.8713] 2020-12-16 08:52:06 [INFO] [EVAL] The model with the best validation mIoU (0.7961) was saved at iter 70000. 2020-12-16 08:52:20 [INFO] [TRAIN] epoch=189, iter=70010/80000, loss=0.1066, lr=0.001538, batch_cost=1.3270, reader_cost=0.0018 | ETA 03:40:56 2020-12-16 08:52:35 [INFO] [TRAIN] epoch=189, iter=70020/80000, loss=0.1330, lr=0.001536, batch_cost=1.4911, reader_cost=0.0024 | ETA 04:08:01 2020-12-16 08:52:49 [INFO] [TRAIN] epoch=189, iter=70030/80000, loss=0.1382, lr=0.001535, batch_cost=1.4202, reader_cost=0.0002 | ETA 03:55:59 2020-12-16 08:53:03 [INFO] [TRAIN] epoch=189, iter=70040/80000, loss=0.1506, lr=0.001534, batch_cost=1.4273, reader_cost=0.0003 | ETA 03:56:55 2020-12-16 08:53:19 [INFO] [TRAIN] epoch=189, iter=70050/80000, loss=0.1690, lr=0.001532, batch_cost=1.5764, reader_cost=0.0015 | ETA 04:21:25 2020-12-16 08:53:34 [INFO] [TRAIN] epoch=189, iter=70060/80000, loss=0.1105, lr=0.001531, batch_cost=1.4815, reader_cost=0.0002 | ETA 04:05:26 2020-12-16 08:53:48 [INFO] [TRAIN] epoch=189, iter=70070/80000, loss=0.1273, lr=0.001529, batch_cost=1.4907, reader_cost=0.0008 | ETA 04:06:42 2020-12-16 08:54:03 [INFO] [TRAIN] epoch=189, iter=70080/80000, loss=0.1337, lr=0.001528, batch_cost=1.4331, reader_cost=0.0022 | ETA 03:56:56 2020-12-16 08:54:17 [INFO] [TRAIN] epoch=189, iter=70090/80000, loss=0.1016, lr=0.001527, batch_cost=1.4647, reader_cost=0.0015 | ETA 04:01:54 2020-12-16 08:54:32 [INFO] [TRAIN] epoch=189, iter=70100/80000, loss=0.1628, lr=0.001525, batch_cost=1.4226, reader_cost=0.0028 | ETA 03:54:44 2020-12-16 08:54:46 [INFO] [TRAIN] epoch=189, iter=70110/80000, loss=0.1206, lr=0.001524, batch_cost=1.4545, reader_cost=0.0002 | ETA 03:59:45 2020-12-16 08:55:00 [INFO] [TRAIN] epoch=189, iter=70120/80000, loss=0.1408, lr=0.001522, batch_cost=1.4202, reader_cost=0.0038 | ETA 03:53:51 2020-12-16 08:55:15 [INFO] [TRAIN] epoch=189, iter=70130/80000, loss=0.1648, lr=0.001521, batch_cost=1.4879, reader_cost=0.0002 | ETA 04:04:45 2020-12-16 08:55:31 [INFO] [TRAIN] epoch=189, iter=70140/80000, loss=0.2246, lr=0.001520, batch_cost=1.5900, reader_cost=0.0016 | ETA 04:21:17 2020-12-16 08:55:46 [INFO] [TRAIN] epoch=189, iter=70150/80000, loss=0.2195, lr=0.001518, batch_cost=1.5046, reader_cost=0.0002 | ETA 04:06:59 2020-12-16 08:56:01 [INFO] [TRAIN] epoch=189, iter=70160/80000, loss=0.1212, lr=0.001517, batch_cost=1.5048, reader_cost=0.0055 | ETA 04:06:47 2020-12-16 08:56:17 [INFO] [TRAIN] epoch=189, iter=70170/80000, loss=0.1322, lr=0.001516, batch_cost=1.5377, reader_cost=0.0012 | ETA 04:11:55 2020-12-16 08:56:32 [INFO] [TRAIN] epoch=189, iter=70180/80000, loss=0.1494, lr=0.001514, batch_cost=1.5331, reader_cost=0.0023 | ETA 04:10:55 2020-12-16 08:56:47 [INFO] [TRAIN] epoch=189, iter=70190/80000, loss=0.1457, lr=0.001513, batch_cost=1.5046, reader_cost=0.0018 | ETA 04:06:00 2020-12-16 08:57:02 [INFO] [TRAIN] epoch=189, iter=70200/80000, loss=0.1426, lr=0.001511, batch_cost=1.4581, reader_cost=0.0004 | ETA 03:58:09 2020-12-16 08:57:17 [INFO] [TRAIN] epoch=189, iter=70210/80000, loss=0.1477, lr=0.001510, batch_cost=1.5072, reader_cost=0.0012 | ETA 04:05:55 2020-12-16 08:57:31 [INFO] [TRAIN] epoch=189, iter=70220/80000, loss=0.1302, lr=0.001509, batch_cost=1.4166, reader_cost=0.0002 | ETA 03:50:54 2020-12-16 08:57:39 [INFO] [TRAIN] epoch=189, iter=70230/80000, loss=0.1218, lr=0.001507, batch_cost=0.8162, reader_cost=0.0001 | ETA 02:12:54 2020-12-16 08:57:48 [INFO] [TRAIN] epoch=189, iter=70240/80000, loss=0.1185, lr=0.001506, batch_cost=0.8939, reader_cost=0.0001 | ETA 02:25:24 2020-12-16 08:57:57 [INFO] [TRAIN] epoch=189, iter=70250/80000, loss=0.1187, lr=0.001504, batch_cost=0.8769, reader_cost=0.0001 | ETA 02:22:29 2020-12-16 08:58:08 [INFO] [TRAIN] epoch=189, iter=70260/80000, loss=0.1091, lr=0.001503, batch_cost=1.1121, reader_cost=0.0003 | ETA 03:00:32 2020-12-16 08:58:23 [INFO] [TRAIN] epoch=189, iter=70270/80000, loss=0.1337, lr=0.001502, batch_cost=1.4850, reader_cost=0.0009 | ETA 04:00:49 2020-12-16 08:58:37 [INFO] [TRAIN] epoch=189, iter=70280/80000, loss=0.1435, lr=0.001500, batch_cost=1.4692, reader_cost=0.0035 | ETA 03:58:00 2020-12-16 08:58:46 [INFO] [TRAIN] epoch=189, iter=70290/80000, loss=0.1476, lr=0.001499, batch_cost=0.8071, reader_cost=0.0001 | ETA 02:10:37 2020-12-16 08:58:54 [INFO] [TRAIN] epoch=189, iter=70300/80000, loss=0.1167, lr=0.001497, batch_cost=0.8030, reader_cost=0.0001 | ETA 02:09:49 2020-12-16 08:59:02 [INFO] [TRAIN] epoch=190, iter=70310/80000, loss=0.1200, lr=0.001496, batch_cost=0.8728, reader_cost=0.0592 | ETA 02:20:57 2020-12-16 08:59:11 [INFO] [TRAIN] epoch=190, iter=70320/80000, loss=0.1745, lr=0.001495, batch_cost=0.8652, reader_cost=0.0001 | ETA 02:19:35 2020-12-16 08:59:25 [INFO] [TRAIN] epoch=190, iter=70330/80000, loss=0.1128, lr=0.001493, batch_cost=1.4506, reader_cost=0.0063 | ETA 03:53:47 2020-12-16 08:59:40 [INFO] [TRAIN] epoch=190, iter=70340/80000, loss=0.1392, lr=0.001492, batch_cost=1.4513, reader_cost=0.0011 | ETA 03:53:39 2020-12-16 08:59:55 [INFO] [TRAIN] epoch=190, iter=70350/80000, loss=0.1390, lr=0.001491, batch_cost=1.4828, reader_cost=0.0003 | ETA 03:58:28 2020-12-16 09:00:10 [INFO] [TRAIN] epoch=190, iter=70360/80000, loss=0.1192, lr=0.001489, batch_cost=1.5451, reader_cost=0.0034 | ETA 04:08:14 2020-12-16 09:00:26 [INFO] [TRAIN] epoch=190, iter=70370/80000, loss=0.1312, lr=0.001488, batch_cost=1.5384, reader_cost=0.0002 | ETA 04:06:54 2020-12-16 09:00:40 [INFO] [TRAIN] epoch=190, iter=70380/80000, loss=0.1155, lr=0.001486, batch_cost=1.4672, reader_cost=0.0012 | ETA 03:55:14 2020-12-16 09:00:56 [INFO] [TRAIN] epoch=190, iter=70390/80000, loss=0.1018, lr=0.001485, batch_cost=1.5246, reader_cost=0.0042 | ETA 04:04:11 2020-12-16 09:01:11 [INFO] [TRAIN] epoch=190, iter=70400/80000, loss=0.1081, lr=0.001484, batch_cost=1.5849, reader_cost=0.0025 | ETA 04:13:35 2020-12-16 09:01:27 [INFO] [TRAIN] epoch=190, iter=70410/80000, loss=0.1456, lr=0.001482, batch_cost=1.5652, reader_cost=0.0002 | ETA 04:10:09 2020-12-16 09:01:43 [INFO] [TRAIN] epoch=190, iter=70420/80000, loss=0.1575, lr=0.001481, batch_cost=1.5691, reader_cost=0.0002 | ETA 04:10:31 2020-12-16 09:01:58 [INFO] [TRAIN] epoch=190, iter=70430/80000, loss=0.1532, lr=0.001479, batch_cost=1.4876, reader_cost=0.0008 | ETA 03:57:16 2020-12-16 09:02:14 [INFO] [TRAIN] epoch=190, iter=70440/80000, loss=0.1304, lr=0.001478, batch_cost=1.5963, reader_cost=0.0007 | ETA 04:14:20 2020-12-16 09:02:31 [INFO] [TRAIN] epoch=190, iter=70450/80000, loss=0.1165, lr=0.001477, batch_cost=1.6991, reader_cost=0.0044 | ETA 04:30:26 2020-12-16 09:02:46 [INFO] [TRAIN] epoch=190, iter=70460/80000, loss=0.1277, lr=0.001475, batch_cost=1.5328, reader_cost=0.0003 | ETA 04:03:43 2020-12-16 09:03:01 [INFO] [TRAIN] epoch=190, iter=70470/80000, loss=0.1548, lr=0.001474, batch_cost=1.4983, reader_cost=0.0002 | ETA 03:57:59 2020-12-16 09:03:16 [INFO] [TRAIN] epoch=190, iter=70480/80000, loss=0.1218, lr=0.001472, batch_cost=1.5151, reader_cost=0.0008 | ETA 04:00:23 2020-12-16 09:03:31 [INFO] [TRAIN] epoch=190, iter=70490/80000, loss=0.1629, lr=0.001471, batch_cost=1.4922, reader_cost=0.0002 | ETA 03:56:30 2020-12-16 09:03:46 [INFO] [TRAIN] epoch=190, iter=70500/80000, loss=0.1218, lr=0.001470, batch_cost=1.5095, reader_cost=0.0002 | ETA 03:59:00 2020-12-16 09:04:00 [INFO] [TRAIN] epoch=190, iter=70510/80000, loss=0.1223, lr=0.001468, batch_cost=1.4213, reader_cost=0.0002 | ETA 03:44:48 2020-12-16 09:04:14 [INFO] [TRAIN] epoch=190, iter=70520/80000, loss=0.1351, lr=0.001467, batch_cost=1.4010, reader_cost=0.0058 | ETA 03:41:21 2020-12-16 09:04:30 [INFO] [TRAIN] epoch=190, iter=70530/80000, loss=0.1826, lr=0.001465, batch_cost=1.5254, reader_cost=0.0030 | ETA 04:00:45 2020-12-16 09:04:44 [INFO] [TRAIN] epoch=190, iter=70540/80000, loss=0.0973, lr=0.001464, batch_cost=1.4901, reader_cost=0.0014 | ETA 03:54:55 2020-12-16 09:04:59 [INFO] [TRAIN] epoch=190, iter=70550/80000, loss=0.1356, lr=0.001463, batch_cost=1.4635, reader_cost=0.0028 | ETA 03:50:30 2020-12-16 09:05:13 [INFO] [TRAIN] epoch=190, iter=70560/80000, loss=0.1258, lr=0.001461, batch_cost=1.4368, reader_cost=0.0002 | ETA 03:46:03 2020-12-16 09:05:27 [INFO] [TRAIN] epoch=190, iter=70570/80000, loss=0.1436, lr=0.001460, batch_cost=1.3777, reader_cost=0.0002 | ETA 03:36:32 2020-12-16 09:05:42 [INFO] [TRAIN] epoch=190, iter=70580/80000, loss=0.1307, lr=0.001458, batch_cost=1.5053, reader_cost=0.0061 | ETA 03:56:20 2020-12-16 09:05:58 [INFO] [TRAIN] epoch=190, iter=70590/80000, loss=0.1149, lr=0.001457, batch_cost=1.5490, reader_cost=0.0002 | ETA 04:02:55 2020-12-16 09:06:09 [INFO] [TRAIN] epoch=190, iter=70600/80000, loss=0.1114, lr=0.001456, batch_cost=1.1635, reader_cost=0.0018 | ETA 03:02:16 2020-12-16 09:06:18 [INFO] [TRAIN] epoch=190, iter=70610/80000, loss=0.1321, lr=0.001454, batch_cost=0.8247, reader_cost=0.0000 | ETA 02:09:03 2020-12-16 09:06:26 [INFO] [TRAIN] epoch=190, iter=70620/80000, loss=0.0931, lr=0.001453, batch_cost=0.8381, reader_cost=0.0002 | ETA 02:11:01 2020-12-16 09:06:35 [INFO] [TRAIN] epoch=190, iter=70630/80000, loss=0.0955, lr=0.001452, batch_cost=0.9071, reader_cost=0.0001 | ETA 02:21:39 2020-12-16 09:06:48 [INFO] [TRAIN] epoch=190, iter=70640/80000, loss=0.1514, lr=0.001450, batch_cost=1.2665, reader_cost=0.0002 | ETA 03:17:34 2020-12-16 09:07:02 [INFO] [TRAIN] epoch=190, iter=70650/80000, loss=0.1948, lr=0.001449, batch_cost=1.4629, reader_cost=0.0004 | ETA 03:47:58 2020-12-16 09:07:16 [INFO] [TRAIN] epoch=190, iter=70660/80000, loss=0.1143, lr=0.001447, batch_cost=1.3620, reader_cost=0.0025 | ETA 03:32:00 2020-12-16 09:07:30 [INFO] [TRAIN] epoch=190, iter=70670/80000, loss=0.1235, lr=0.001446, batch_cost=1.3639, reader_cost=0.0002 | ETA 03:32:04 2020-12-16 09:07:41 [INFO] [TRAIN] epoch=190, iter=70680/80000, loss=0.1202, lr=0.001445, batch_cost=1.1528, reader_cost=0.0003 | ETA 02:59:04 2020-12-16 09:07:59 [INFO] [TRAIN] epoch=191, iter=70690/80000, loss=0.1410, lr=0.001443, batch_cost=1.7679, reader_cost=0.1319 | ETA 04:34:19 2020-12-16 09:08:14 [INFO] [TRAIN] epoch=191, iter=70700/80000, loss=0.1131, lr=0.001442, batch_cost=1.5333, reader_cost=0.0002 | ETA 03:57:39 2020-12-16 09:08:28 [INFO] [TRAIN] epoch=191, iter=70710/80000, loss=0.1262, lr=0.001440, batch_cost=1.3445, reader_cost=0.0002 | ETA 03:28:10 2020-12-16 09:08:42 [INFO] [TRAIN] epoch=191, iter=70720/80000, loss=0.1305, lr=0.001439, batch_cost=1.4333, reader_cost=0.0003 | ETA 03:41:40 2020-12-16 09:08:57 [INFO] [TRAIN] epoch=191, iter=70730/80000, loss=0.1297, lr=0.001438, batch_cost=1.5098, reader_cost=0.0034 | ETA 03:53:15 2020-12-16 09:09:13 [INFO] [TRAIN] epoch=191, iter=70740/80000, loss=0.1274, lr=0.001436, batch_cost=1.5648, reader_cost=0.0010 | ETA 04:01:29 2020-12-16 09:09:28 [INFO] [TRAIN] epoch=191, iter=70750/80000, loss=0.1422, lr=0.001435, batch_cost=1.4934, reader_cost=0.0017 | ETA 03:50:14 2020-12-16 09:09:42 [INFO] [TRAIN] epoch=191, iter=70760/80000, loss=0.1217, lr=0.001433, batch_cost=1.4728, reader_cost=0.0002 | ETA 03:46:48 2020-12-16 09:09:58 [INFO] [TRAIN] epoch=191, iter=70770/80000, loss=0.1440, lr=0.001432, batch_cost=1.5553, reader_cost=0.0002 | ETA 03:59:15 2020-12-16 09:10:14 [INFO] [TRAIN] epoch=191, iter=70780/80000, loss=0.1580, lr=0.001431, batch_cost=1.5951, reader_cost=0.0017 | ETA 04:05:06 2020-12-16 09:10:28 [INFO] [TRAIN] epoch=191, iter=70790/80000, loss=0.1198, lr=0.001429, batch_cost=1.4378, reader_cost=0.0031 | ETA 03:40:42 2020-12-16 09:10:42 [INFO] [TRAIN] epoch=191, iter=70800/80000, loss=0.1408, lr=0.001428, batch_cost=1.4154, reader_cost=0.0002 | ETA 03:37:01 2020-12-16 09:10:57 [INFO] [TRAIN] epoch=191, iter=70810/80000, loss=0.1040, lr=0.001426, batch_cost=1.4461, reader_cost=0.0012 | ETA 03:41:29 2020-12-16 09:11:11 [INFO] [TRAIN] epoch=191, iter=70820/80000, loss=0.2089, lr=0.001425, batch_cost=1.4098, reader_cost=0.0025 | ETA 03:35:41 2020-12-16 09:11:26 [INFO] [TRAIN] epoch=191, iter=70830/80000, loss=0.1485, lr=0.001424, batch_cost=1.5337, reader_cost=0.0003 | ETA 03:54:23 2020-12-16 09:11:42 [INFO] [TRAIN] epoch=191, iter=70840/80000, loss=0.1196, lr=0.001422, batch_cost=1.6064, reader_cost=0.0042 | ETA 04:05:14 2020-12-16 09:11:59 [INFO] [TRAIN] epoch=191, iter=70850/80000, loss=0.1358, lr=0.001421, batch_cost=1.6351, reader_cost=0.0050 | ETA 04:09:21 2020-12-16 09:12:15 [INFO] [TRAIN] epoch=191, iter=70860/80000, loss=0.1735, lr=0.001419, batch_cost=1.5754, reader_cost=0.0015 | ETA 03:59:59 2020-12-16 09:12:30 [INFO] [TRAIN] epoch=191, iter=70870/80000, loss=0.0912, lr=0.001418, batch_cost=1.5196, reader_cost=0.0027 | ETA 03:51:13 2020-12-16 09:12:47 [INFO] [TRAIN] epoch=191, iter=70880/80000, loss=0.1536, lr=0.001417, batch_cost=1.6953, reader_cost=0.0003 | ETA 04:17:40 2020-12-16 09:13:01 [INFO] [TRAIN] epoch=191, iter=70890/80000, loss=0.1046, lr=0.001415, batch_cost=1.4645, reader_cost=0.0002 | ETA 03:42:21 2020-12-16 09:13:16 [INFO] [TRAIN] epoch=191, iter=70900/80000, loss=0.1070, lr=0.001414, batch_cost=1.4978, reader_cost=0.0026 | ETA 03:47:10 2020-12-16 09:13:31 [INFO] [TRAIN] epoch=191, iter=70910/80000, loss=0.1404, lr=0.001412, batch_cost=1.4807, reader_cost=0.0007 | ETA 03:44:19 2020-12-16 09:13:45 [INFO] [TRAIN] epoch=191, iter=70920/80000, loss=0.1441, lr=0.001411, batch_cost=1.4125, reader_cost=0.0013 | ETA 03:33:45 2020-12-16 09:14:00 [INFO] [TRAIN] epoch=191, iter=70930/80000, loss=0.0986, lr=0.001410, batch_cost=1.4478, reader_cost=0.0002 | ETA 03:38:51 2020-12-16 09:14:14 [INFO] [TRAIN] epoch=191, iter=70940/80000, loss=0.1392, lr=0.001408, batch_cost=1.4351, reader_cost=0.0033 | ETA 03:36:41 2020-12-16 09:14:25 [INFO] [TRAIN] epoch=191, iter=70950/80000, loss=0.1445, lr=0.001407, batch_cost=1.0783, reader_cost=0.0002 | ETA 02:42:38 2020-12-16 09:14:34 [INFO] [TRAIN] epoch=191, iter=70960/80000, loss=0.1298, lr=0.001405, batch_cost=0.8757, reader_cost=0.0001 | ETA 02:11:56 2020-12-16 09:14:42 [INFO] [TRAIN] epoch=191, iter=70970/80000, loss=0.1667, lr=0.001404, batch_cost=0.8378, reader_cost=0.0001 | ETA 02:06:05 2020-12-16 09:14:51 [INFO] [TRAIN] epoch=191, iter=70980/80000, loss=0.1179, lr=0.001403, batch_cost=0.9001, reader_cost=0.0009 | ETA 02:15:19 2020-12-16 09:15:05 [INFO] [TRAIN] epoch=191, iter=70990/80000, loss=0.1309, lr=0.001401, batch_cost=1.3478, reader_cost=0.0002 | ETA 03:22:23 2020-12-16 09:15:17 [INFO] [TRAIN] epoch=191, iter=71000/80000, loss=0.2052, lr=0.001400, batch_cost=1.2968, reader_cost=0.0002 | ETA 03:14:30 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 09:15:18 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 09:16:29 [INFO] [EVAL] #Images=500 mIoU=0.7930 Acc=0.9609 Kappa=0.9493 2020-12-16 09:16:29 [INFO] [EVAL] Class IoU: [0.9802 0.8426 0.9282 0.5814 0.6267 0.6223 0.7136 0.7849 0.9235 0.6544 0.949 0.8212 0.6515 0.9517 0.8207 0.915 0.8449 0.6762 0.7796] 2020-12-16 09:16:29 [INFO] [EVAL] Class Acc: [0.9931 0.9021 0.9607 0.8383 0.8417 0.769 0.8498 0.91 0.9529 0.8263 0.9701 0.889 0.8092 0.9715 0.8968 0.9585 0.9253 0.8542 0.8514] 2020-12-16 09:16:40 [INFO] [EVAL] The model with the best validation mIoU (0.7961) was saved at iter 70000. 2020-12-16 09:16:55 [INFO] [TRAIN] epoch=191, iter=71010/80000, loss=0.1665, lr=0.001398, batch_cost=1.4867, reader_cost=0.0002 | ETA 03:42:45 2020-12-16 09:17:09 [INFO] [TRAIN] epoch=191, iter=71020/80000, loss=0.1117, lr=0.001397, batch_cost=1.4371, reader_cost=0.0004 | ETA 03:35:04 2020-12-16 09:17:23 [INFO] [TRAIN] epoch=191, iter=71030/80000, loss=0.1238, lr=0.001396, batch_cost=1.3802, reader_cost=0.0025 | ETA 03:26:20 2020-12-16 09:17:38 [INFO] [TRAIN] epoch=191, iter=71040/80000, loss=0.1303, lr=0.001394, batch_cost=1.4579, reader_cost=0.0035 | ETA 03:37:42 2020-12-16 09:17:51 [INFO] [TRAIN] epoch=191, iter=71050/80000, loss=0.1169, lr=0.001393, batch_cost=1.3088, reader_cost=0.0003 | ETA 03:15:13 2020-12-16 09:18:07 [INFO] [TRAIN] epoch=192, iter=71060/80000, loss=0.1472, lr=0.001391, batch_cost=1.5712, reader_cost=0.0819 | ETA 03:54:06 2020-12-16 09:18:21 [INFO] [TRAIN] epoch=192, iter=71070/80000, loss=0.1609, lr=0.001390, batch_cost=1.4387, reader_cost=0.0015 | ETA 03:34:07 2020-12-16 09:18:35 [INFO] [TRAIN] epoch=192, iter=71080/80000, loss=0.1183, lr=0.001389, batch_cost=1.4513, reader_cost=0.0032 | ETA 03:35:45 2020-12-16 09:18:50 [INFO] [TRAIN] epoch=192, iter=71090/80000, loss=0.1371, lr=0.001387, batch_cost=1.4550, reader_cost=0.0007 | ETA 03:36:04 2020-12-16 09:19:04 [INFO] [TRAIN] epoch=192, iter=71100/80000, loss=0.1965, lr=0.001386, batch_cost=1.3778, reader_cost=0.0002 | ETA 03:24:22 2020-12-16 09:19:18 [INFO] [TRAIN] epoch=192, iter=71110/80000, loss=0.1066, lr=0.001384, batch_cost=1.3857, reader_cost=0.0010 | ETA 03:25:18 2020-12-16 09:19:32 [INFO] [TRAIN] epoch=192, iter=71120/80000, loss=0.1153, lr=0.001383, batch_cost=1.4050, reader_cost=0.0027 | ETA 03:27:56 2020-12-16 09:19:46 [INFO] [TRAIN] epoch=192, iter=71130/80000, loss=0.1881, lr=0.001382, batch_cost=1.3860, reader_cost=0.0007 | ETA 03:24:53 2020-12-16 09:20:01 [INFO] [TRAIN] epoch=192, iter=71140/80000, loss=0.1121, lr=0.001380, batch_cost=1.5349, reader_cost=0.0002 | ETA 03:46:38 2020-12-16 09:20:17 [INFO] [TRAIN] epoch=192, iter=71150/80000, loss=0.1372, lr=0.001379, batch_cost=1.5832, reader_cost=0.0003 | ETA 03:53:30 2020-12-16 09:20:32 [INFO] [TRAIN] epoch=192, iter=71160/80000, loss=0.1350, lr=0.001377, batch_cost=1.5324, reader_cost=0.0027 | ETA 03:45:46 2020-12-16 09:20:47 [INFO] [TRAIN] epoch=192, iter=71170/80000, loss=0.1517, lr=0.001376, batch_cost=1.5334, reader_cost=0.0008 | ETA 03:45:40 2020-12-16 09:21:03 [INFO] [TRAIN] epoch=192, iter=71180/80000, loss=0.0904, lr=0.001375, batch_cost=1.5351, reader_cost=0.0025 | ETA 03:45:39 2020-12-16 09:21:17 [INFO] [TRAIN] epoch=192, iter=71190/80000, loss=0.1248, lr=0.001373, batch_cost=1.4046, reader_cost=0.0002 | ETA 03:26:14 2020-12-16 09:21:32 [INFO] [TRAIN] epoch=192, iter=71200/80000, loss=0.1351, lr=0.001372, batch_cost=1.5677, reader_cost=0.0014 | ETA 03:49:55 2020-12-16 09:21:47 [INFO] [TRAIN] epoch=192, iter=71210/80000, loss=0.1197, lr=0.001370, batch_cost=1.4709, reader_cost=0.0027 | ETA 03:35:29 2020-12-16 09:22:02 [INFO] [TRAIN] epoch=192, iter=71220/80000, loss=0.1050, lr=0.001369, batch_cost=1.5236, reader_cost=0.0009 | ETA 03:42:57 2020-12-16 09:22:17 [INFO] [TRAIN] epoch=192, iter=71230/80000, loss=0.1386, lr=0.001368, batch_cost=1.4616, reader_cost=0.0026 | ETA 03:33:38 2020-12-16 09:22:31 [INFO] [TRAIN] epoch=192, iter=71240/80000, loss=0.1130, lr=0.001366, batch_cost=1.4110, reader_cost=0.0034 | ETA 03:26:00 2020-12-16 09:22:44 [INFO] [TRAIN] epoch=192, iter=71250/80000, loss=0.1079, lr=0.001365, batch_cost=1.2588, reader_cost=0.0029 | ETA 03:03:34 2020-12-16 09:22:52 [INFO] [TRAIN] epoch=192, iter=71260/80000, loss=0.1637, lr=0.001363, batch_cost=0.8521, reader_cost=0.0001 | ETA 02:04:07 2020-12-16 09:23:01 [INFO] [TRAIN] epoch=192, iter=71270/80000, loss=0.1096, lr=0.001362, batch_cost=0.8530, reader_cost=0.0001 | ETA 02:04:06 2020-12-16 09:23:10 [INFO] [TRAIN] epoch=192, iter=71280/80000, loss=0.1264, lr=0.001361, batch_cost=0.9311, reader_cost=0.0009 | ETA 02:15:19 2020-12-16 09:23:23 [INFO] [TRAIN] epoch=192, iter=71290/80000, loss=0.1422, lr=0.001359, batch_cost=1.2999, reader_cost=0.0003 | ETA 03:08:41 2020-12-16 09:23:38 [INFO] [TRAIN] epoch=192, iter=71300/80000, loss=0.1443, lr=0.001358, batch_cost=1.4571, reader_cost=0.0014 | ETA 03:31:16 2020-12-16 09:23:52 [INFO] [TRAIN] epoch=192, iter=71310/80000, loss=0.1291, lr=0.001356, batch_cost=1.4211, reader_cost=0.0009 | ETA 03:25:49 2020-12-16 09:24:06 [INFO] [TRAIN] epoch=192, iter=71320/80000, loss=0.1340, lr=0.001355, batch_cost=1.4182, reader_cost=0.0002 | ETA 03:25:09 2020-12-16 09:24:21 [INFO] [TRAIN] epoch=192, iter=71330/80000, loss=0.1268, lr=0.001354, batch_cost=1.4527, reader_cost=0.0002 | ETA 03:29:54 2020-12-16 09:24:35 [INFO] [TRAIN] epoch=192, iter=71340/80000, loss=0.1348, lr=0.001352, batch_cost=1.4679, reader_cost=0.0018 | ETA 03:31:52 2020-12-16 09:24:50 [INFO] [TRAIN] epoch=192, iter=71350/80000, loss=0.1564, lr=0.001351, batch_cost=1.4591, reader_cost=0.0015 | ETA 03:30:21 2020-12-16 09:25:03 [INFO] [TRAIN] epoch=192, iter=71360/80000, loss=0.1212, lr=0.001349, batch_cost=1.3271, reader_cost=0.0002 | ETA 03:11:05 2020-12-16 09:25:19 [INFO] [TRAIN] epoch=192, iter=71370/80000, loss=0.1103, lr=0.001348, batch_cost=1.5358, reader_cost=0.0002 | ETA 03:40:53 2020-12-16 09:25:34 [INFO] [TRAIN] epoch=192, iter=71380/80000, loss=0.1412, lr=0.001347, batch_cost=1.5231, reader_cost=0.0024 | ETA 03:38:49 2020-12-16 09:25:50 [INFO] [TRAIN] epoch=192, iter=71390/80000, loss=0.1595, lr=0.001345, batch_cost=1.6376, reader_cost=0.0007 | ETA 03:54:59 2020-12-16 09:26:06 [INFO] [TRAIN] epoch=192, iter=71400/80000, loss=0.1491, lr=0.001344, batch_cost=1.5444, reader_cost=0.0059 | ETA 03:41:22 2020-12-16 09:26:21 [INFO] [TRAIN] epoch=192, iter=71410/80000, loss=0.1296, lr=0.001342, batch_cost=1.5531, reader_cost=0.0021 | ETA 03:42:20 2020-12-16 09:26:36 [INFO] [TRAIN] epoch=192, iter=71420/80000, loss=0.1414, lr=0.001341, batch_cost=1.4527, reader_cost=0.0012 | ETA 03:27:44 2020-12-16 09:26:50 [INFO] [TRAIN] epoch=193, iter=71430/80000, loss=0.1156, lr=0.001340, batch_cost=1.4226, reader_cost=0.0828 | ETA 03:23:11 2020-12-16 09:27:05 [INFO] [TRAIN] epoch=193, iter=71440/80000, loss=0.1336, lr=0.001338, batch_cost=1.5094, reader_cost=0.0027 | ETA 03:35:20 2020-12-16 09:27:20 [INFO] [TRAIN] epoch=193, iter=71450/80000, loss=0.1441, lr=0.001337, batch_cost=1.5227, reader_cost=0.0034 | ETA 03:36:59 2020-12-16 09:27:35 [INFO] [TRAIN] epoch=193, iter=71460/80000, loss=0.1189, lr=0.001335, batch_cost=1.5004, reader_cost=0.0006 | ETA 03:33:33 2020-12-16 09:27:48 [INFO] [TRAIN] epoch=193, iter=71470/80000, loss=0.1368, lr=0.001334, batch_cost=1.3065, reader_cost=0.0045 | ETA 03:05:44 2020-12-16 09:28:03 [INFO] [TRAIN] epoch=193, iter=71480/80000, loss=0.1366, lr=0.001332, batch_cost=1.4265, reader_cost=0.0015 | ETA 03:22:33 2020-12-16 09:28:17 [INFO] [TRAIN] epoch=193, iter=71490/80000, loss=0.1300, lr=0.001331, batch_cost=1.4922, reader_cost=0.0002 | ETA 03:31:38 2020-12-16 09:28:32 [INFO] [TRAIN] epoch=193, iter=71500/80000, loss=0.1374, lr=0.001330, batch_cost=1.4460, reader_cost=0.0002 | ETA 03:24:50 2020-12-16 09:28:47 [INFO] [TRAIN] epoch=193, iter=71510/80000, loss=0.1308, lr=0.001328, batch_cost=1.5569, reader_cost=0.0018 | ETA 03:40:17 2020-12-16 09:29:02 [INFO] [TRAIN] epoch=193, iter=71520/80000, loss=0.2244, lr=0.001327, batch_cost=1.4556, reader_cost=0.0015 | ETA 03:25:43 2020-12-16 09:29:17 [INFO] [TRAIN] epoch=193, iter=71530/80000, loss=0.0946, lr=0.001325, batch_cost=1.4494, reader_cost=0.0014 | ETA 03:24:36 2020-12-16 09:29:30 [INFO] [TRAIN] epoch=193, iter=71540/80000, loss=0.1458, lr=0.001324, batch_cost=1.3959, reader_cost=0.0021 | ETA 03:16:49 2020-12-16 09:29:46 [INFO] [TRAIN] epoch=193, iter=71550/80000, loss=0.1394, lr=0.001323, batch_cost=1.5444, reader_cost=0.0013 | ETA 03:37:29 2020-12-16 09:30:01 [INFO] [TRAIN] epoch=193, iter=71560/80000, loss=0.1605, lr=0.001321, batch_cost=1.5515, reader_cost=0.0002 | ETA 03:38:14 2020-12-16 09:30:16 [INFO] [TRAIN] epoch=193, iter=71570/80000, loss=0.3496, lr=0.001320, batch_cost=1.4970, reader_cost=0.0014 | ETA 03:30:19 2020-12-16 09:30:30 [INFO] [TRAIN] epoch=193, iter=71580/80000, loss=0.1337, lr=0.001318, batch_cost=1.3282, reader_cost=0.0002 | ETA 03:06:23 2020-12-16 09:30:44 [INFO] [TRAIN] epoch=193, iter=71590/80000, loss=0.1120, lr=0.001317, batch_cost=1.3819, reader_cost=0.0011 | ETA 03:13:41 2020-12-16 09:30:58 [INFO] [TRAIN] epoch=193, iter=71600/80000, loss=0.1073, lr=0.001316, batch_cost=1.4062, reader_cost=0.0017 | ETA 03:16:51 2020-12-16 09:31:06 [INFO] [TRAIN] epoch=193, iter=71610/80000, loss=0.1419, lr=0.001314, batch_cost=0.8319, reader_cost=0.0001 | ETA 01:56:19 2020-12-16 09:31:14 [INFO] [TRAIN] epoch=193, iter=71620/80000, loss=0.1620, lr=0.001313, batch_cost=0.8460, reader_cost=0.0001 | ETA 01:58:09 2020-12-16 09:31:23 [INFO] [TRAIN] epoch=193, iter=71630/80000, loss=0.1343, lr=0.001311, batch_cost=0.8685, reader_cost=0.0004 | ETA 02:01:09 2020-12-16 09:31:34 [INFO] [TRAIN] epoch=193, iter=71640/80000, loss=0.1832, lr=0.001310, batch_cost=1.0840, reader_cost=0.0007 | ETA 02:31:02 2020-12-16 09:31:48 [INFO] [TRAIN] epoch=193, iter=71650/80000, loss=0.1285, lr=0.001309, batch_cost=1.3709, reader_cost=0.0015 | ETA 03:10:46 2020-12-16 09:32:02 [INFO] [TRAIN] epoch=193, iter=71660/80000, loss=0.1333, lr=0.001307, batch_cost=1.4819, reader_cost=0.0043 | ETA 03:25:59 2020-12-16 09:32:17 [INFO] [TRAIN] epoch=193, iter=71670/80000, loss=0.1254, lr=0.001306, batch_cost=1.4526, reader_cost=0.0025 | ETA 03:21:40 2020-12-16 09:32:32 [INFO] [TRAIN] epoch=193, iter=71680/80000, loss=0.1852, lr=0.001304, batch_cost=1.5147, reader_cost=0.0012 | ETA 03:30:02 2020-12-16 09:32:46 [INFO] [TRAIN] epoch=193, iter=71690/80000, loss=0.1107, lr=0.001303, batch_cost=1.4335, reader_cost=0.0002 | ETA 03:18:32 2020-12-16 09:33:02 [INFO] [TRAIN] epoch=193, iter=71700/80000, loss=0.1672, lr=0.001301, batch_cost=1.5268, reader_cost=0.0002 | ETA 03:31:12 2020-12-16 09:33:17 [INFO] [TRAIN] epoch=193, iter=71710/80000, loss=0.1465, lr=0.001300, batch_cost=1.5601, reader_cost=0.0002 | ETA 03:35:33 2020-12-16 09:33:32 [INFO] [TRAIN] epoch=193, iter=71720/80000, loss=0.1160, lr=0.001299, batch_cost=1.5055, reader_cost=0.0002 | ETA 03:27:45 2020-12-16 09:33:48 [INFO] [TRAIN] epoch=193, iter=71730/80000, loss=0.1398, lr=0.001297, batch_cost=1.5424, reader_cost=0.0038 | ETA 03:32:35 2020-12-16 09:34:02 [INFO] [TRAIN] epoch=193, iter=71740/80000, loss=0.1244, lr=0.001296, batch_cost=1.4030, reader_cost=0.0022 | ETA 03:13:08 2020-12-16 09:34:16 [INFO] [TRAIN] epoch=193, iter=71750/80000, loss=0.1219, lr=0.001294, batch_cost=1.4041, reader_cost=0.0026 | ETA 03:13:03 2020-12-16 09:34:30 [INFO] [TRAIN] epoch=193, iter=71760/80000, loss=0.1381, lr=0.001293, batch_cost=1.4569, reader_cost=0.0002 | ETA 03:20:04 2020-12-16 09:34:45 [INFO] [TRAIN] epoch=193, iter=71770/80000, loss=0.0918, lr=0.001292, batch_cost=1.4698, reader_cost=0.0015 | ETA 03:21:36 2020-12-16 09:34:59 [INFO] [TRAIN] epoch=193, iter=71780/80000, loss=0.1327, lr=0.001290, batch_cost=1.4283, reader_cost=0.0018 | ETA 03:15:40 2020-12-16 09:35:13 [INFO] [TRAIN] epoch=193, iter=71790/80000, loss=0.1685, lr=0.001289, batch_cost=1.3516, reader_cost=0.0040 | ETA 03:04:56 2020-12-16 09:35:26 [INFO] [TRAIN] epoch=194, iter=71800/80000, loss=0.1644, lr=0.001287, batch_cost=1.3492, reader_cost=0.0897 | ETA 03:04:23 2020-12-16 09:35:42 [INFO] [TRAIN] epoch=194, iter=71810/80000, loss=0.1465, lr=0.001286, batch_cost=1.6013, reader_cost=0.0020 | ETA 03:38:34 2020-12-16 09:35:58 [INFO] [TRAIN] epoch=194, iter=71820/80000, loss=0.2229, lr=0.001285, batch_cost=1.5954, reader_cost=0.0018 | ETA 03:37:30 2020-12-16 09:36:13 [INFO] [TRAIN] epoch=194, iter=71830/80000, loss=0.1200, lr=0.001283, batch_cost=1.4992, reader_cost=0.0024 | ETA 03:24:08 2020-12-16 09:36:27 [INFO] [TRAIN] epoch=194, iter=71840/80000, loss=0.1632, lr=0.001282, batch_cost=1.3875, reader_cost=0.0002 | ETA 03:08:41 2020-12-16 09:36:42 [INFO] [TRAIN] epoch=194, iter=71850/80000, loss=0.1535, lr=0.001280, batch_cost=1.4723, reader_cost=0.0022 | ETA 03:19:59 2020-12-16 09:36:57 [INFO] [TRAIN] epoch=194, iter=71860/80000, loss=0.1720, lr=0.001279, batch_cost=1.4987, reader_cost=0.0002 | ETA 03:23:19 2020-12-16 09:37:12 [INFO] [TRAIN] epoch=194, iter=71870/80000, loss=0.1426, lr=0.001277, batch_cost=1.4979, reader_cost=0.0045 | ETA 03:22:57 2020-12-16 09:37:27 [INFO] [TRAIN] epoch=194, iter=71880/80000, loss=0.1074, lr=0.001276, batch_cost=1.5066, reader_cost=0.0026 | ETA 03:23:53 2020-12-16 09:37:42 [INFO] [TRAIN] epoch=194, iter=71890/80000, loss=0.1224, lr=0.001275, batch_cost=1.4748, reader_cost=0.0006 | ETA 03:19:20 2020-12-16 09:37:56 [INFO] [TRAIN] epoch=194, iter=71900/80000, loss=0.1346, lr=0.001273, batch_cost=1.4336, reader_cost=0.0006 | ETA 03:13:31 2020-12-16 09:38:12 [INFO] [TRAIN] epoch=194, iter=71910/80000, loss=0.2287, lr=0.001272, batch_cost=1.5543, reader_cost=0.0003 | ETA 03:29:33 2020-12-16 09:38:25 [INFO] [TRAIN] epoch=194, iter=71920/80000, loss=0.1325, lr=0.001270, batch_cost=1.3371, reader_cost=0.0018 | ETA 03:00:03 2020-12-16 09:38:39 [INFO] [TRAIN] epoch=194, iter=71930/80000, loss=0.1158, lr=0.001269, batch_cost=1.4108, reader_cost=0.0015 | ETA 03:09:45 2020-12-16 09:38:54 [INFO] [TRAIN] epoch=194, iter=71940/80000, loss=0.1498, lr=0.001268, batch_cost=1.5011, reader_cost=0.0036 | ETA 03:21:38 2020-12-16 09:39:09 [INFO] [TRAIN] epoch=194, iter=71950/80000, loss=0.1255, lr=0.001266, batch_cost=1.4773, reader_cost=0.0054 | ETA 03:18:12 2020-12-16 09:39:22 [INFO] [TRAIN] epoch=194, iter=71960/80000, loss=0.0971, lr=0.001265, batch_cost=1.2850, reader_cost=0.0014 | ETA 02:52:11 2020-12-16 09:39:30 [INFO] [TRAIN] epoch=194, iter=71970/80000, loss=0.1234, lr=0.001263, batch_cost=0.8115, reader_cost=0.0001 | ETA 01:48:36 2020-12-16 09:39:38 [INFO] [TRAIN] epoch=194, iter=71980/80000, loss=0.1567, lr=0.001262, batch_cost=0.8465, reader_cost=0.0001 | ETA 01:53:08 2020-12-16 09:39:47 [INFO] [TRAIN] epoch=194, iter=71990/80000, loss=0.1235, lr=0.001260, batch_cost=0.8719, reader_cost=0.0001 | ETA 01:56:23 2020-12-16 09:39:57 [INFO] [TRAIN] epoch=194, iter=72000/80000, loss=0.1215, lr=0.001259, batch_cost=1.0328, reader_cost=0.0002 | ETA 02:17:42 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 09:39:57 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 09:41:05 [INFO] [EVAL] #Images=500 mIoU=0.8001 Acc=0.9623 Kappa=0.9511 2020-12-16 09:41:05 [INFO] [EVAL] Class IoU: [0.982 0.8553 0.9279 0.6077 0.634 0.6179 0.7148 0.7909 0.9251 0.6641 0.9489 0.8228 0.6632 0.9539 0.8675 0.9213 0.8489 0.6762 0.7791] 2020-12-16 09:41:05 [INFO] [EVAL] Class Acc: [0.9944 0.9072 0.9577 0.8487 0.8577 0.7945 0.832 0.9077 0.9526 0.8517 0.9729 0.8878 0.793 0.9738 0.9502 0.9712 0.9591 0.8499 0.8562] 2020-12-16 09:41:21 [INFO] [EVAL] The model with the best validation mIoU (0.8001) was saved at iter 72000. 2020-12-16 09:41:35 [INFO] [TRAIN] epoch=194, iter=72010/80000, loss=0.1373, lr=0.001258, batch_cost=1.3132, reader_cost=0.0032 | ETA 02:54:52 2020-12-16 09:41:49 [INFO] [TRAIN] epoch=194, iter=72020/80000, loss=0.1267, lr=0.001256, batch_cost=1.4171, reader_cost=0.0023 | ETA 03:08:28 2020-12-16 09:42:02 [INFO] [TRAIN] epoch=194, iter=72030/80000, loss=0.1314, lr=0.001255, batch_cost=1.3559, reader_cost=0.0026 | ETA 03:00:06 2020-12-16 09:42:17 [INFO] [TRAIN] epoch=194, iter=72040/80000, loss=0.1540, lr=0.001253, batch_cost=1.4499, reader_cost=0.0021 | ETA 03:12:20 2020-12-16 09:42:31 [INFO] [TRAIN] epoch=194, iter=72050/80000, loss=0.1174, lr=0.001252, batch_cost=1.4523, reader_cost=0.0022 | ETA 03:12:25 2020-12-16 09:42:46 [INFO] [TRAIN] epoch=194, iter=72060/80000, loss=0.1595, lr=0.001251, batch_cost=1.5151, reader_cost=0.0028 | ETA 03:20:29 2020-12-16 09:43:01 [INFO] [TRAIN] epoch=194, iter=72070/80000, loss=0.0891, lr=0.001249, batch_cost=1.4522, reader_cost=0.0044 | ETA 03:11:56 2020-12-16 09:43:16 [INFO] [TRAIN] epoch=194, iter=72080/80000, loss=0.1338, lr=0.001248, batch_cost=1.5429, reader_cost=0.0012 | ETA 03:23:40 2020-12-16 09:43:31 [INFO] [TRAIN] epoch=194, iter=72090/80000, loss=0.1208, lr=0.001246, batch_cost=1.4552, reader_cost=0.0003 | ETA 03:11:50 2020-12-16 09:43:40 [INFO] [TRAIN] epoch=194, iter=72100/80000, loss=0.1425, lr=0.001245, batch_cost=0.9230, reader_cost=0.0003 | ETA 02:01:31 2020-12-16 09:43:49 [INFO] [TRAIN] epoch=194, iter=72110/80000, loss=0.1158, lr=0.001243, batch_cost=0.8416, reader_cost=0.0001 | ETA 01:50:40 2020-12-16 09:43:57 [INFO] [TRAIN] epoch=194, iter=72120/80000, loss=0.1408, lr=0.001242, batch_cost=0.8170, reader_cost=0.0001 | ETA 01:47:17 2020-12-16 09:44:05 [INFO] [TRAIN] epoch=194, iter=72130/80000, loss=0.1301, lr=0.001241, batch_cost=0.8178, reader_cost=0.0003 | ETA 01:47:15 2020-12-16 09:44:14 [INFO] [TRAIN] epoch=194, iter=72140/80000, loss=0.1558, lr=0.001239, batch_cost=0.9355, reader_cost=0.0001 | ETA 02:02:32 2020-12-16 09:44:29 [INFO] [TRAIN] epoch=194, iter=72150/80000, loss=0.1291, lr=0.001238, batch_cost=1.5046, reader_cost=0.0002 | ETA 03:16:51 2020-12-16 09:44:45 [INFO] [TRAIN] epoch=194, iter=72160/80000, loss=0.1171, lr=0.001236, batch_cost=1.5310, reader_cost=0.0014 | ETA 03:20:02 2020-12-16 09:44:59 [INFO] [TRAIN] epoch=195, iter=72170/80000, loss=0.1164, lr=0.001235, batch_cost=1.3974, reader_cost=0.1131 | ETA 03:02:21 2020-12-16 09:45:15 [INFO] [TRAIN] epoch=195, iter=72180/80000, loss=0.1386, lr=0.001234, batch_cost=1.5859, reader_cost=0.0002 | ETA 03:26:41 2020-12-16 09:45:30 [INFO] [TRAIN] epoch=195, iter=72190/80000, loss=0.2087, lr=0.001232, batch_cost=1.5167, reader_cost=0.0019 | ETA 03:17:25 2020-12-16 09:45:46 [INFO] [TRAIN] epoch=195, iter=72200/80000, loss=0.1180, lr=0.001231, batch_cost=1.6158, reader_cost=0.0004 | ETA 03:30:03 2020-12-16 09:46:01 [INFO] [TRAIN] epoch=195, iter=72210/80000, loss=0.1111, lr=0.001229, batch_cost=1.4818, reader_cost=0.0002 | ETA 03:12:22 2020-12-16 09:46:16 [INFO] [TRAIN] epoch=195, iter=72220/80000, loss=0.1224, lr=0.001228, batch_cost=1.5765, reader_cost=0.0053 | ETA 03:24:24 2020-12-16 09:46:31 [INFO] [TRAIN] epoch=195, iter=72230/80000, loss=0.1187, lr=0.001226, batch_cost=1.4342, reader_cost=0.0020 | ETA 03:05:44 2020-12-16 09:46:46 [INFO] [TRAIN] epoch=195, iter=72240/80000, loss=0.1237, lr=0.001225, batch_cost=1.5150, reader_cost=0.0017 | ETA 03:15:56 2020-12-16 09:47:01 [INFO] [TRAIN] epoch=195, iter=72250/80000, loss=0.1145, lr=0.001224, batch_cost=1.5031, reader_cost=0.0024 | ETA 03:14:08 2020-12-16 09:47:16 [INFO] [TRAIN] epoch=195, iter=72260/80000, loss=0.1479, lr=0.001222, batch_cost=1.5090, reader_cost=0.0015 | ETA 03:14:39 2020-12-16 09:47:31 [INFO] [TRAIN] epoch=195, iter=72270/80000, loss=0.1506, lr=0.001221, batch_cost=1.5130, reader_cost=0.0028 | ETA 03:14:55 2020-12-16 09:47:46 [INFO] [TRAIN] epoch=195, iter=72280/80000, loss=0.1522, lr=0.001219, batch_cost=1.4627, reader_cost=0.0055 | ETA 03:08:12 2020-12-16 09:48:01 [INFO] [TRAIN] epoch=195, iter=72290/80000, loss=0.1670, lr=0.001218, batch_cost=1.5054, reader_cost=0.0009 | ETA 03:13:26 2020-12-16 09:48:16 [INFO] [TRAIN] epoch=195, iter=72300/80000, loss=0.3201, lr=0.001216, batch_cost=1.4962, reader_cost=0.0015 | ETA 03:12:00 2020-12-16 09:48:25 [INFO] [TRAIN] epoch=195, iter=72310/80000, loss=0.1313, lr=0.001215, batch_cost=0.8887, reader_cost=0.0002 | ETA 01:53:54 2020-12-16 09:48:33 [INFO] [TRAIN] epoch=195, iter=72320/80000, loss=0.1577, lr=0.001214, batch_cost=0.8630, reader_cost=0.0002 | ETA 01:50:27 2020-12-16 09:48:42 [INFO] [TRAIN] epoch=195, iter=72330/80000, loss=0.1480, lr=0.001212, batch_cost=0.8621, reader_cost=0.0001 | ETA 01:50:12 2020-12-16 09:48:52 [INFO] [TRAIN] epoch=195, iter=72340/80000, loss=0.1290, lr=0.001211, batch_cost=1.0291, reader_cost=0.0002 | ETA 02:11:22 2020-12-16 09:49:07 [INFO] [TRAIN] epoch=195, iter=72350/80000, loss=0.1597, lr=0.001209, batch_cost=1.4484, reader_cost=0.0003 | ETA 03:04:39 2020-12-16 09:49:22 [INFO] [TRAIN] epoch=195, iter=72360/80000, loss=0.1061, lr=0.001208, batch_cost=1.5146, reader_cost=0.0002 | ETA 03:12:51 2020-12-16 09:49:36 [INFO] [TRAIN] epoch=195, iter=72370/80000, loss=0.1239, lr=0.001207, batch_cost=1.4476, reader_cost=0.0002 | ETA 03:04:05 2020-12-16 09:49:51 [INFO] [TRAIN] epoch=195, iter=72380/80000, loss=0.1175, lr=0.001205, batch_cost=1.4508, reader_cost=0.0003 | ETA 03:04:15 2020-12-16 09:50:06 [INFO] [TRAIN] epoch=195, iter=72390/80000, loss=0.1342, lr=0.001204, batch_cost=1.4748, reader_cost=0.0015 | ETA 03:07:03 2020-12-16 09:50:21 [INFO] [TRAIN] epoch=195, iter=72400/80000, loss=0.1523, lr=0.001202, batch_cost=1.4885, reader_cost=0.0002 | ETA 03:08:32 2020-12-16 09:50:36 [INFO] [TRAIN] epoch=195, iter=72410/80000, loss=0.1169, lr=0.001201, batch_cost=1.5168, reader_cost=0.0010 | ETA 03:11:52 2020-12-16 09:50:51 [INFO] [TRAIN] epoch=195, iter=72420/80000, loss=0.1429, lr=0.001199, batch_cost=1.4773, reader_cost=0.0002 | ETA 03:06:38 2020-12-16 09:51:05 [INFO] [TRAIN] epoch=195, iter=72430/80000, loss=0.1230, lr=0.001198, batch_cost=1.4305, reader_cost=0.0027 | ETA 03:00:29 2020-12-16 09:51:20 [INFO] [TRAIN] epoch=195, iter=72440/80000, loss=0.1389, lr=0.001197, batch_cost=1.4855, reader_cost=0.0002 | ETA 03:07:10 2020-12-16 09:51:35 [INFO] [TRAIN] epoch=195, iter=72450/80000, loss=0.0992, lr=0.001195, batch_cost=1.5338, reader_cost=0.0040 | ETA 03:13:00 2020-12-16 09:51:50 [INFO] [TRAIN] epoch=195, iter=72460/80000, loss=0.1225, lr=0.001194, batch_cost=1.5234, reader_cost=0.0026 | ETA 03:11:26 2020-12-16 09:52:04 [INFO] [TRAIN] epoch=195, iter=72470/80000, loss=0.1456, lr=0.001192, batch_cost=1.4152, reader_cost=0.0003 | ETA 02:57:36 2020-12-16 09:52:20 [INFO] [TRAIN] epoch=195, iter=72480/80000, loss=0.1431, lr=0.001191, batch_cost=1.5213, reader_cost=0.0012 | ETA 03:10:40 2020-12-16 09:52:33 [INFO] [TRAIN] epoch=195, iter=72490/80000, loss=0.1005, lr=0.001189, batch_cost=1.3362, reader_cost=0.0003 | ETA 02:47:14 2020-12-16 09:52:47 [INFO] [TRAIN] epoch=195, iter=72500/80000, loss=0.1956, lr=0.001188, batch_cost=1.3980, reader_cost=0.0018 | ETA 02:54:44 2020-12-16 09:53:02 [INFO] [TRAIN] epoch=195, iter=72510/80000, loss=0.1283, lr=0.001187, batch_cost=1.4582, reader_cost=0.0024 | ETA 03:02:02 2020-12-16 09:53:16 [INFO] [TRAIN] epoch=195, iter=72520/80000, loss=0.1279, lr=0.001185, batch_cost=1.4019, reader_cost=0.0027 | ETA 02:54:46 2020-12-16 09:53:29 [INFO] [TRAIN] epoch=195, iter=72530/80000, loss=0.1135, lr=0.001184, batch_cost=1.3482, reader_cost=0.0002 | ETA 02:47:50 2020-12-16 09:53:41 [INFO] [TRAIN] epoch=195, iter=72540/80000, loss=0.1255, lr=0.001182, batch_cost=1.2070, reader_cost=0.0002 | ETA 02:30:04 2020-12-16 09:54:00 [INFO] [TRAIN] epoch=196, iter=72550/80000, loss=0.1069, lr=0.001181, batch_cost=1.8490, reader_cost=0.0876 | ETA 03:49:35 2020-12-16 09:54:14 [INFO] [TRAIN] epoch=196, iter=72560/80000, loss=0.1762, lr=0.001179, batch_cost=1.4629, reader_cost=0.0002 | ETA 03:01:23 2020-12-16 09:54:29 [INFO] [TRAIN] epoch=196, iter=72570/80000, loss=0.1749, lr=0.001178, batch_cost=1.4843, reader_cost=0.0012 | ETA 03:03:48 2020-12-16 09:54:44 [INFO] [TRAIN] epoch=196, iter=72580/80000, loss=0.0982, lr=0.001177, batch_cost=1.4700, reader_cost=0.0002 | ETA 03:01:47 2020-12-16 09:54:57 [INFO] [TRAIN] epoch=196, iter=72590/80000, loss=0.1449, lr=0.001175, batch_cost=1.3524, reader_cost=0.0019 | ETA 02:47:01 2020-12-16 09:55:13 [INFO] [TRAIN] epoch=196, iter=72600/80000, loss=0.1352, lr=0.001174, batch_cost=1.5221, reader_cost=0.0002 | ETA 03:07:43 2020-12-16 09:55:28 [INFO] [TRAIN] epoch=196, iter=72610/80000, loss=0.1156, lr=0.001172, batch_cost=1.5266, reader_cost=0.0015 | ETA 03:08:01 2020-12-16 09:55:42 [INFO] [TRAIN] epoch=196, iter=72620/80000, loss=0.1248, lr=0.001171, batch_cost=1.4423, reader_cost=0.0002 | ETA 02:57:24 2020-12-16 09:55:57 [INFO] [TRAIN] epoch=196, iter=72630/80000, loss=0.1443, lr=0.001169, batch_cost=1.4955, reader_cost=0.0035 | ETA 03:03:41 2020-12-16 09:56:11 [INFO] [TRAIN] epoch=196, iter=72640/80000, loss=0.1176, lr=0.001168, batch_cost=1.3756, reader_cost=0.0004 | ETA 02:48:44 2020-12-16 09:56:26 [INFO] [TRAIN] epoch=196, iter=72650/80000, loss=0.1441, lr=0.001167, batch_cost=1.5289, reader_cost=0.0002 | ETA 03:07:17 2020-12-16 09:56:41 [INFO] [TRAIN] epoch=196, iter=72660/80000, loss=0.1234, lr=0.001165, batch_cost=1.5110, reader_cost=0.0002 | ETA 03:04:50 2020-12-16 09:56:50 [INFO] [TRAIN] epoch=196, iter=72670/80000, loss=0.1204, lr=0.001164, batch_cost=0.8317, reader_cost=0.0001 | ETA 01:41:36 2020-12-16 09:56:58 [INFO] [TRAIN] epoch=196, iter=72680/80000, loss=0.2244, lr=0.001162, batch_cost=0.8619, reader_cost=0.0001 | ETA 01:45:09 2020-12-16 09:57:07 [INFO] [TRAIN] epoch=196, iter=72690/80000, loss=0.1413, lr=0.001161, batch_cost=0.8777, reader_cost=0.0001 | ETA 01:46:55 2020-12-16 09:57:18 [INFO] [TRAIN] epoch=196, iter=72700/80000, loss=0.1567, lr=0.001159, batch_cost=1.1010, reader_cost=0.0010 | ETA 02:13:57 2020-12-16 09:57:33 [INFO] [TRAIN] epoch=196, iter=72710/80000, loss=0.1457, lr=0.001158, batch_cost=1.4612, reader_cost=0.0013 | ETA 02:57:31 2020-12-16 09:57:47 [INFO] [TRAIN] epoch=196, iter=72720/80000, loss=0.1462, lr=0.001157, batch_cost=1.4303, reader_cost=0.0019 | ETA 02:53:32 2020-12-16 09:58:02 [INFO] [TRAIN] epoch=196, iter=72730/80000, loss=0.1063, lr=0.001155, batch_cost=1.4719, reader_cost=0.0002 | ETA 02:58:21 2020-12-16 09:58:16 [INFO] [TRAIN] epoch=196, iter=72740/80000, loss=0.1468, lr=0.001154, batch_cost=1.4475, reader_cost=0.0002 | ETA 02:55:09 2020-12-16 09:58:30 [INFO] [TRAIN] epoch=196, iter=72750/80000, loss=0.0958, lr=0.001152, batch_cost=1.3763, reader_cost=0.0002 | ETA 02:46:18 2020-12-16 09:58:45 [INFO] [TRAIN] epoch=196, iter=72760/80000, loss=0.1472, lr=0.001151, batch_cost=1.5031, reader_cost=0.0002 | ETA 03:01:22 2020-12-16 09:58:59 [INFO] [TRAIN] epoch=196, iter=72770/80000, loss=0.1171, lr=0.001149, batch_cost=1.4107, reader_cost=0.0008 | ETA 02:49:59 2020-12-16 09:59:14 [INFO] [TRAIN] epoch=196, iter=72780/80000, loss=0.2229, lr=0.001148, batch_cost=1.4400, reader_cost=0.0002 | ETA 02:53:16 2020-12-16 09:59:28 [INFO] [TRAIN] epoch=196, iter=72790/80000, loss=0.1473, lr=0.001147, batch_cost=1.4956, reader_cost=0.0002 | ETA 02:59:43 2020-12-16 09:59:43 [INFO] [TRAIN] epoch=196, iter=72800/80000, loss=0.1708, lr=0.001145, batch_cost=1.4296, reader_cost=0.0002 | ETA 02:51:32 2020-12-16 09:59:59 [INFO] [TRAIN] epoch=196, iter=72810/80000, loss=0.1310, lr=0.001144, batch_cost=1.6056, reader_cost=0.0020 | ETA 03:12:24 2020-12-16 10:00:14 [INFO] [TRAIN] epoch=196, iter=72820/80000, loss=0.1483, lr=0.001142, batch_cost=1.5210, reader_cost=0.0023 | ETA 03:02:00 2020-12-16 10:00:30 [INFO] [TRAIN] epoch=196, iter=72830/80000, loss=0.1364, lr=0.001141, batch_cost=1.5943, reader_cost=0.0039 | ETA 03:10:31 2020-12-16 10:00:45 [INFO] [TRAIN] epoch=196, iter=72840/80000, loss=0.1132, lr=0.001139, batch_cost=1.5035, reader_cost=0.0011 | ETA 02:59:24 2020-12-16 10:01:00 [INFO] [TRAIN] epoch=196, iter=72850/80000, loss=0.1019, lr=0.001138, batch_cost=1.4573, reader_cost=0.0002 | ETA 02:53:39 2020-12-16 10:01:15 [INFO] [TRAIN] epoch=196, iter=72860/80000, loss=0.1213, lr=0.001137, batch_cost=1.5796, reader_cost=0.0019 | ETA 03:07:58 2020-12-16 10:01:31 [INFO] [TRAIN] epoch=196, iter=72870/80000, loss=0.2246, lr=0.001135, batch_cost=1.5252, reader_cost=0.0024 | ETA 03:01:14 2020-12-16 10:01:45 [INFO] [TRAIN] epoch=196, iter=72880/80000, loss=0.1802, lr=0.001134, batch_cost=1.4620, reader_cost=0.0002 | ETA 02:53:29 2020-12-16 10:02:01 [INFO] [TRAIN] epoch=196, iter=72890/80000, loss=0.1385, lr=0.001132, batch_cost=1.5709, reader_cost=0.0003 | ETA 03:06:09 2020-12-16 10:02:15 [INFO] [TRAIN] epoch=196, iter=72900/80000, loss=0.1080, lr=0.001131, batch_cost=1.3667, reader_cost=0.0042 | ETA 02:41:43 2020-12-16 10:02:27 [INFO] [TRAIN] epoch=196, iter=72910/80000, loss=0.1345, lr=0.001129, batch_cost=1.2250, reader_cost=0.0026 | ETA 02:24:45 2020-12-16 10:02:44 [INFO] [TRAIN] epoch=197, iter=72920/80000, loss=0.1385, lr=0.001128, batch_cost=1.6937, reader_cost=0.0902 | ETA 03:19:51 2020-12-16 10:02:59 [INFO] [TRAIN] epoch=197, iter=72930/80000, loss=0.1469, lr=0.001127, batch_cost=1.5536, reader_cost=0.0034 | ETA 03:03:03 2020-12-16 10:03:14 [INFO] [TRAIN] epoch=197, iter=72940/80000, loss=0.1556, lr=0.001125, batch_cost=1.4817, reader_cost=0.0002 | ETA 02:54:21 2020-12-16 10:03:29 [INFO] [TRAIN] epoch=197, iter=72950/80000, loss=0.1266, lr=0.001124, batch_cost=1.4350, reader_cost=0.0010 | ETA 02:48:36 2020-12-16 10:03:44 [INFO] [TRAIN] epoch=197, iter=72960/80000, loss=0.0959, lr=0.001122, batch_cost=1.4985, reader_cost=0.0002 | ETA 02:55:49 2020-12-16 10:03:57 [INFO] [TRAIN] epoch=197, iter=72970/80000, loss=0.1962, lr=0.001121, batch_cost=1.3640, reader_cost=0.0002 | ETA 02:39:48 2020-12-16 10:04:11 [INFO] [TRAIN] epoch=197, iter=72980/80000, loss=0.1437, lr=0.001119, batch_cost=1.3549, reader_cost=0.0002 | ETA 02:38:31 2020-12-16 10:04:25 [INFO] [TRAIN] epoch=197, iter=72990/80000, loss=0.0984, lr=0.001118, batch_cost=1.4603, reader_cost=0.0002 | ETA 02:50:36 2020-12-16 10:04:40 [INFO] [TRAIN] epoch=197, iter=73000/80000, loss=0.1366, lr=0.001117, batch_cost=1.5169, reader_cost=0.0007 | ETA 02:56:58 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 10:04:41 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 10:05:35 [INFO] [EVAL] #Images=500 mIoU=0.7994 Acc=0.9629 Kappa=0.9518 2020-12-16 10:05:35 [INFO] [EVAL] Class IoU: [0.9833 0.8613 0.9289 0.6033 0.6428 0.6201 0.717 0.7883 0.9256 0.6642 0.9496 0.8201 0.6475 0.9531 0.8552 0.92 0.8473 0.6803 0.78 ] 2020-12-16 10:05:35 [INFO] [EVAL] Class Acc: [0.9933 0.9222 0.9586 0.85 0.8254 0.7948 0.8189 0.9013 0.9555 0.8449 0.9699 0.8876 0.7997 0.9739 0.9216 0.9616 0.9561 0.8381 0.8547] 2020-12-16 10:05:46 [INFO] [EVAL] The model with the best validation mIoU (0.8001) was saved at iter 72000. 2020-12-16 10:06:00 [INFO] [TRAIN] epoch=197, iter=73010/80000, loss=0.1698, lr=0.001115, batch_cost=1.3995, reader_cost=0.0003 | ETA 02:43:02 2020-12-16 10:06:15 [INFO] [TRAIN] epoch=197, iter=73020/80000, loss=0.1388, lr=0.001114, batch_cost=1.4712, reader_cost=0.0005 | ETA 02:51:09 2020-12-16 10:06:30 [INFO] [TRAIN] epoch=197, iter=73030/80000, loss=0.1330, lr=0.001112, batch_cost=1.4828, reader_cost=0.0025 | ETA 02:52:14 2020-12-16 10:06:45 [INFO] [TRAIN] epoch=197, iter=73040/80000, loss=0.1492, lr=0.001111, batch_cost=1.5503, reader_cost=0.0014 | ETA 02:59:50 2020-12-16 10:06:59 [INFO] [TRAIN] epoch=197, iter=73050/80000, loss=0.1621, lr=0.001109, batch_cost=1.3724, reader_cost=0.0032 | ETA 02:38:58 2020-12-16 10:07:14 [INFO] [TRAIN] epoch=197, iter=73060/80000, loss=0.2456, lr=0.001108, batch_cost=1.5578, reader_cost=0.0007 | ETA 03:00:11 2020-12-16 10:07:29 [INFO] [TRAIN] epoch=197, iter=73070/80000, loss=0.1122, lr=0.001106, batch_cost=1.4071, reader_cost=0.0018 | ETA 02:42:31 2020-12-16 10:07:44 [INFO] [TRAIN] epoch=197, iter=73080/80000, loss=0.1477, lr=0.001105, batch_cost=1.5018, reader_cost=0.0002 | ETA 02:53:12 2020-12-16 10:07:58 [INFO] [TRAIN] epoch=197, iter=73090/80000, loss=0.1316, lr=0.001104, batch_cost=1.4040, reader_cost=0.0003 | ETA 02:41:41 2020-12-16 10:08:12 [INFO] [TRAIN] epoch=197, iter=73100/80000, loss=0.1938, lr=0.001102, batch_cost=1.4334, reader_cost=0.0021 | ETA 02:44:50 2020-12-16 10:08:27 [INFO] [TRAIN] epoch=197, iter=73110/80000, loss=0.1612, lr=0.001101, batch_cost=1.4603, reader_cost=0.0009 | ETA 02:47:41 2020-12-16 10:08:42 [INFO] [TRAIN] epoch=197, iter=73120/80000, loss=0.1103, lr=0.001099, batch_cost=1.5069, reader_cost=0.0027 | ETA 02:52:47 2020-12-16 10:08:58 [INFO] [TRAIN] epoch=197, iter=73130/80000, loss=0.1421, lr=0.001098, batch_cost=1.5985, reader_cost=0.0003 | ETA 03:03:01 2020-12-16 10:09:13 [INFO] [TRAIN] epoch=197, iter=73140/80000, loss=0.0981, lr=0.001096, batch_cost=1.5451, reader_cost=0.0002 | ETA 02:56:39 2020-12-16 10:09:29 [INFO] [TRAIN] epoch=197, iter=73150/80000, loss=0.1124, lr=0.001095, batch_cost=1.5507, reader_cost=0.0002 | ETA 02:57:01 2020-12-16 10:09:44 [INFO] [TRAIN] epoch=197, iter=73160/80000, loss=0.1184, lr=0.001094, batch_cost=1.5221, reader_cost=0.0016 | ETA 02:53:31 2020-12-16 10:09:59 [INFO] [TRAIN] epoch=197, iter=73170/80000, loss=0.1158, lr=0.001092, batch_cost=1.5174, reader_cost=0.0038 | ETA 02:52:43 2020-12-16 10:10:15 [INFO] [TRAIN] epoch=197, iter=73180/80000, loss=0.1130, lr=0.001091, batch_cost=1.6375, reader_cost=0.0052 | ETA 03:06:07 2020-12-16 10:10:31 [INFO] [TRAIN] epoch=197, iter=73190/80000, loss=0.1262, lr=0.001089, batch_cost=1.5867, reader_cost=0.0015 | ETA 03:00:05 2020-12-16 10:10:48 [INFO] [TRAIN] epoch=197, iter=73200/80000, loss=0.1433, lr=0.001088, batch_cost=1.6656, reader_cost=0.0003 | ETA 03:08:45 2020-12-16 10:11:03 [INFO] [TRAIN] epoch=197, iter=73210/80000, loss=0.1443, lr=0.001086, batch_cost=1.5463, reader_cost=0.0015 | ETA 02:54:59 2020-12-16 10:11:20 [INFO] [TRAIN] epoch=197, iter=73220/80000, loss=0.0997, lr=0.001085, batch_cost=1.6409, reader_cost=0.0008 | ETA 03:05:24 2020-12-16 10:11:35 [INFO] [TRAIN] epoch=197, iter=73230/80000, loss=0.1409, lr=0.001083, batch_cost=1.5539, reader_cost=0.0002 | ETA 02:55:19 2020-12-16 10:11:51 [INFO] [TRAIN] epoch=197, iter=73240/80000, loss=0.1216, lr=0.001082, batch_cost=1.5900, reader_cost=0.0059 | ETA 02:59:08 2020-12-16 10:12:06 [INFO] [TRAIN] epoch=197, iter=73250/80000, loss=0.1375, lr=0.001081, batch_cost=1.4913, reader_cost=0.0005 | ETA 02:47:46 2020-12-16 10:12:22 [INFO] [TRAIN] epoch=197, iter=73260/80000, loss=0.1128, lr=0.001079, batch_cost=1.5955, reader_cost=0.0015 | ETA 02:59:13 2020-12-16 10:12:37 [INFO] [TRAIN] epoch=197, iter=73270/80000, loss=0.1115, lr=0.001078, batch_cost=1.4613, reader_cost=0.0002 | ETA 02:43:54 2020-12-16 10:12:51 [INFO] [TRAIN] epoch=197, iter=73280/80000, loss=0.1302, lr=0.001076, batch_cost=1.4129, reader_cost=0.0002 | ETA 02:38:14 2020-12-16 10:13:05 [INFO] [TRAIN] epoch=198, iter=73290/80000, loss=0.1130, lr=0.001075, batch_cost=1.4570, reader_cost=0.0940 | ETA 02:42:56 2020-12-16 10:13:20 [INFO] [TRAIN] epoch=198, iter=73300/80000, loss=0.1242, lr=0.001073, batch_cost=1.4833, reader_cost=0.0006 | ETA 02:45:37 2020-12-16 10:13:29 [INFO] [TRAIN] epoch=198, iter=73310/80000, loss=0.1453, lr=0.001072, batch_cost=0.8366, reader_cost=0.0001 | ETA 01:33:17 2020-12-16 10:13:37 [INFO] [TRAIN] epoch=198, iter=73320/80000, loss=0.0857, lr=0.001070, batch_cost=0.8867, reader_cost=0.0001 | ETA 01:38:43 2020-12-16 10:13:46 [INFO] [TRAIN] epoch=198, iter=73330/80000, loss=0.1098, lr=0.001069, batch_cost=0.8904, reader_cost=0.0001 | ETA 01:38:58 2020-12-16 10:13:57 [INFO] [TRAIN] epoch=198, iter=73340/80000, loss=0.1072, lr=0.001068, batch_cost=1.1034, reader_cost=0.0001 | ETA 02:02:28 2020-12-16 10:14:13 [INFO] [TRAIN] epoch=198, iter=73350/80000, loss=0.1353, lr=0.001066, batch_cost=1.5548, reader_cost=0.0044 | ETA 02:52:19 2020-12-16 10:14:28 [INFO] [TRAIN] epoch=198, iter=73360/80000, loss=0.1380, lr=0.001065, batch_cost=1.4846, reader_cost=0.0026 | ETA 02:44:17 2020-12-16 10:14:43 [INFO] [TRAIN] epoch=198, iter=73370/80000, loss=0.1230, lr=0.001063, batch_cost=1.5339, reader_cost=0.0003 | ETA 02:49:30 2020-12-16 10:14:59 [INFO] [TRAIN] epoch=198, iter=73380/80000, loss=0.1114, lr=0.001062, batch_cost=1.5491, reader_cost=0.0014 | ETA 02:50:54 2020-12-16 10:15:14 [INFO] [TRAIN] epoch=198, iter=73390/80000, loss=0.1276, lr=0.001060, batch_cost=1.5726, reader_cost=0.0002 | ETA 02:53:15 2020-12-16 10:15:29 [INFO] [TRAIN] epoch=198, iter=73400/80000, loss=0.1359, lr=0.001059, batch_cost=1.4940, reader_cost=0.0003 | ETA 02:44:20 2020-12-16 10:15:44 [INFO] [TRAIN] epoch=198, iter=73410/80000, loss=0.1319, lr=0.001057, batch_cost=1.4563, reader_cost=0.0012 | ETA 02:39:56 2020-12-16 10:15:59 [INFO] [TRAIN] epoch=198, iter=73420/80000, loss=0.1193, lr=0.001056, batch_cost=1.4852, reader_cost=0.0054 | ETA 02:42:52 2020-12-16 10:16:15 [INFO] [TRAIN] epoch=198, iter=73430/80000, loss=0.1039, lr=0.001055, batch_cost=1.6105, reader_cost=0.0015 | ETA 02:56:21 2020-12-16 10:16:30 [INFO] [TRAIN] epoch=198, iter=73440/80000, loss=0.1716, lr=0.001053, batch_cost=1.5482, reader_cost=0.0002 | ETA 02:49:16 2020-12-16 10:16:45 [INFO] [TRAIN] epoch=198, iter=73450/80000, loss=0.1497, lr=0.001052, batch_cost=1.4274, reader_cost=0.0002 | ETA 02:35:49 2020-12-16 10:17:00 [INFO] [TRAIN] epoch=198, iter=73460/80000, loss=0.1138, lr=0.001050, batch_cost=1.5392, reader_cost=0.0064 | ETA 02:47:46 2020-12-16 10:17:14 [INFO] [TRAIN] epoch=198, iter=73470/80000, loss=0.1417, lr=0.001049, batch_cost=1.3988, reader_cost=0.0011 | ETA 02:32:14 2020-12-16 10:17:28 [INFO] [TRAIN] epoch=198, iter=73480/80000, loss=0.1344, lr=0.001047, batch_cost=1.4219, reader_cost=0.0002 | ETA 02:34:30 2020-12-16 10:17:44 [INFO] [TRAIN] epoch=198, iter=73490/80000, loss=0.1390, lr=0.001046, batch_cost=1.6005, reader_cost=0.0025 | ETA 02:53:38 2020-12-16 10:18:00 [INFO] [TRAIN] epoch=198, iter=73500/80000, loss=0.1039, lr=0.001044, batch_cost=1.5431, reader_cost=0.0002 | ETA 02:47:09 2020-12-16 10:18:14 [INFO] [TRAIN] epoch=198, iter=73510/80000, loss=0.0952, lr=0.001043, batch_cost=1.4804, reader_cost=0.0010 | ETA 02:40:07 2020-12-16 10:18:30 [INFO] [TRAIN] epoch=198, iter=73520/80000, loss=0.1141, lr=0.001042, batch_cost=1.5216, reader_cost=0.0002 | ETA 02:44:19 2020-12-16 10:18:44 [INFO] [TRAIN] epoch=198, iter=73530/80000, loss=0.1360, lr=0.001040, batch_cost=1.4643, reader_cost=0.0056 | ETA 02:37:53 2020-12-16 10:19:02 [INFO] [TRAIN] epoch=198, iter=73540/80000, loss=0.1357, lr=0.001039, batch_cost=1.7229, reader_cost=0.0045 | ETA 03:05:29 2020-12-16 10:19:17 [INFO] [TRAIN] epoch=198, iter=73550/80000, loss=0.1031, lr=0.001037, batch_cost=1.5149, reader_cost=0.0041 | ETA 02:42:51 2020-12-16 10:19:32 [INFO] [TRAIN] epoch=198, iter=73560/80000, loss=0.1387, lr=0.001036, batch_cost=1.5234, reader_cost=0.0029 | ETA 02:43:30 2020-12-16 10:19:47 [INFO] [TRAIN] epoch=198, iter=73570/80000, loss=0.1409, lr=0.001034, batch_cost=1.5339, reader_cost=0.0013 | ETA 02:44:22 2020-12-16 10:20:02 [INFO] [TRAIN] epoch=198, iter=73580/80000, loss=0.1073, lr=0.001033, batch_cost=1.4826, reader_cost=0.0037 | ETA 02:38:38 2020-12-16 10:20:18 [INFO] [TRAIN] epoch=198, iter=73590/80000, loss=0.1146, lr=0.001031, batch_cost=1.6245, reader_cost=0.0025 | ETA 02:53:33 2020-12-16 10:20:33 [INFO] [TRAIN] epoch=198, iter=73600/80000, loss=0.1595, lr=0.001030, batch_cost=1.5077, reader_cost=0.0027 | ETA 02:40:49 2020-12-16 10:20:48 [INFO] [TRAIN] epoch=198, iter=73610/80000, loss=0.1631, lr=0.001029, batch_cost=1.4632, reader_cost=0.0002 | ETA 02:35:49 2020-12-16 10:21:03 [INFO] [TRAIN] epoch=198, iter=73620/80000, loss=0.1605, lr=0.001027, batch_cost=1.4646, reader_cost=0.0017 | ETA 02:35:44 2020-12-16 10:21:17 [INFO] [TRAIN] epoch=198, iter=73630/80000, loss=0.1708, lr=0.001026, batch_cost=1.4651, reader_cost=0.0013 | ETA 02:35:32 2020-12-16 10:21:31 [INFO] [TRAIN] epoch=198, iter=73640/80000, loss=0.1497, lr=0.001024, batch_cost=1.4108, reader_cost=0.0013 | ETA 02:29:32 2020-12-16 10:21:41 [INFO] [TRAIN] epoch=198, iter=73650/80000, loss=0.1384, lr=0.001023, batch_cost=0.9201, reader_cost=0.0001 | ETA 01:37:22 2020-12-16 10:21:50 [INFO] [TRAIN] epoch=199, iter=73660/80000, loss=0.1523, lr=0.001021, batch_cost=0.8884, reader_cost=0.0624 | ETA 01:33:52 2020-12-16 10:21:58 [INFO] [TRAIN] epoch=199, iter=73670/80000, loss=0.1200, lr=0.001020, batch_cost=0.8724, reader_cost=0.0001 | ETA 01:32:02 2020-12-16 10:22:09 [INFO] [TRAIN] epoch=199, iter=73680/80000, loss=0.0975, lr=0.001018, batch_cost=1.1203, reader_cost=0.0001 | ETA 01:58:00 2020-12-16 10:22:23 [INFO] [TRAIN] epoch=199, iter=73690/80000, loss=0.1250, lr=0.001017, batch_cost=1.3776, reader_cost=0.0002 | ETA 02:24:52 2020-12-16 10:22:38 [INFO] [TRAIN] epoch=199, iter=73700/80000, loss=0.1201, lr=0.001016, batch_cost=1.4408, reader_cost=0.0017 | ETA 02:31:16 2020-12-16 10:22:52 [INFO] [TRAIN] epoch=199, iter=73710/80000, loss=0.1420, lr=0.001014, batch_cost=1.3866, reader_cost=0.0033 | ETA 02:25:21 2020-12-16 10:23:05 [INFO] [TRAIN] epoch=199, iter=73720/80000, loss=0.1037, lr=0.001013, batch_cost=1.3905, reader_cost=0.0015 | ETA 02:25:32 2020-12-16 10:23:21 [INFO] [TRAIN] epoch=199, iter=73730/80000, loss=0.1218, lr=0.001011, batch_cost=1.5401, reader_cost=0.0012 | ETA 02:40:56 2020-12-16 10:23:36 [INFO] [TRAIN] epoch=199, iter=73740/80000, loss=0.1751, lr=0.001010, batch_cost=1.5106, reader_cost=0.0002 | ETA 02:37:36 2020-12-16 10:23:51 [INFO] [TRAIN] epoch=199, iter=73750/80000, loss=0.1066, lr=0.001008, batch_cost=1.4575, reader_cost=0.0008 | ETA 02:31:49 2020-12-16 10:24:04 [INFO] [TRAIN] epoch=199, iter=73760/80000, loss=0.1230, lr=0.001007, batch_cost=1.3878, reader_cost=0.0009 | ETA 02:24:20 2020-12-16 10:24:20 [INFO] [TRAIN] epoch=199, iter=73770/80000, loss=0.1087, lr=0.001005, batch_cost=1.5205, reader_cost=0.0024 | ETA 02:37:52 2020-12-16 10:24:34 [INFO] [TRAIN] epoch=199, iter=73780/80000, loss=0.0889, lr=0.001004, batch_cost=1.4076, reader_cost=0.0002 | ETA 02:25:55 2020-12-16 10:24:48 [INFO] [TRAIN] epoch=199, iter=73790/80000, loss=0.1192, lr=0.001002, batch_cost=1.4668, reader_cost=0.0001 | ETA 02:31:49 2020-12-16 10:25:03 [INFO] [TRAIN] epoch=199, iter=73800/80000, loss=0.1229, lr=0.001001, batch_cost=1.4960, reader_cost=0.0047 | ETA 02:34:35 2020-12-16 10:25:18 [INFO] [TRAIN] epoch=199, iter=73810/80000, loss=0.1066, lr=0.001000, batch_cost=1.4456, reader_cost=0.0002 | ETA 02:29:08 2020-12-16 10:25:33 [INFO] [TRAIN] epoch=199, iter=73820/80000, loss=0.1489, lr=0.000998, batch_cost=1.5385, reader_cost=0.0028 | ETA 02:38:27 2020-12-16 10:25:49 [INFO] [TRAIN] epoch=199, iter=73830/80000, loss=0.2073, lr=0.000997, batch_cost=1.5380, reader_cost=0.0080 | ETA 02:38:09 2020-12-16 10:26:05 [INFO] [TRAIN] epoch=199, iter=73840/80000, loss=0.1499, lr=0.000995, batch_cost=1.6113, reader_cost=0.0012 | ETA 02:45:25 2020-12-16 10:26:20 [INFO] [TRAIN] epoch=199, iter=73850/80000, loss=0.1272, lr=0.000994, batch_cost=1.4876, reader_cost=0.0023 | ETA 02:32:28 2020-12-16 10:26:34 [INFO] [TRAIN] epoch=199, iter=73860/80000, loss=0.1053, lr=0.000992, batch_cost=1.4599, reader_cost=0.0049 | ETA 02:29:24 2020-12-16 10:26:49 [INFO] [TRAIN] epoch=199, iter=73870/80000, loss=0.1028, lr=0.000991, batch_cost=1.5211, reader_cost=0.0007 | ETA 02:35:24 2020-12-16 10:27:03 [INFO] [TRAIN] epoch=199, iter=73880/80000, loss=0.1019, lr=0.000989, batch_cost=1.3967, reader_cost=0.0007 | ETA 02:22:28 2020-12-16 10:27:18 [INFO] [TRAIN] epoch=199, iter=73890/80000, loss=0.1162, lr=0.000988, batch_cost=1.5144, reader_cost=0.0044 | ETA 02:34:12 2020-12-16 10:27:33 [INFO] [TRAIN] epoch=199, iter=73900/80000, loss=0.0930, lr=0.000986, batch_cost=1.4158, reader_cost=0.0041 | ETA 02:23:56 2020-12-16 10:27:47 [INFO] [TRAIN] epoch=199, iter=73910/80000, loss=0.1005, lr=0.000985, batch_cost=1.4730, reader_cost=0.0011 | ETA 02:29:30 2020-12-16 10:28:01 [INFO] [TRAIN] epoch=199, iter=73920/80000, loss=0.1099, lr=0.000984, batch_cost=1.4030, reader_cost=0.0019 | ETA 02:22:10 2020-12-16 10:28:12 [INFO] [TRAIN] epoch=199, iter=73930/80000, loss=0.1083, lr=0.000982, batch_cost=1.0505, reader_cost=0.0026 | ETA 01:46:16 2020-12-16 10:28:20 [INFO] [TRAIN] epoch=199, iter=73940/80000, loss=0.1223, lr=0.000981, batch_cost=0.8133, reader_cost=0.0000 | ETA 01:22:08 2020-12-16 10:28:28 [INFO] [TRAIN] epoch=199, iter=73950/80000, loss=0.1476, lr=0.000979, batch_cost=0.8161, reader_cost=0.0001 | ETA 01:22:17 2020-12-16 10:28:36 [INFO] [TRAIN] epoch=199, iter=73960/80000, loss=0.1250, lr=0.000978, batch_cost=0.8212, reader_cost=0.0001 | ETA 01:22:40 2020-12-16 10:28:46 [INFO] [TRAIN] epoch=199, iter=73970/80000, loss=0.1087, lr=0.000976, batch_cost=0.9875, reader_cost=0.0001 | ETA 01:39:14 2020-12-16 10:29:01 [INFO] [TRAIN] epoch=199, iter=73980/80000, loss=0.1267, lr=0.000975, batch_cost=1.4865, reader_cost=0.0027 | ETA 02:29:08 2020-12-16 10:29:16 [INFO] [TRAIN] epoch=199, iter=73990/80000, loss=0.0951, lr=0.000973, batch_cost=1.4861, reader_cost=0.0052 | ETA 02:28:51 2020-12-16 10:29:32 [INFO] [TRAIN] epoch=199, iter=74000/80000, loss=0.1591, lr=0.000972, batch_cost=1.5658, reader_cost=0.0021 | ETA 02:36:34 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-16 10:29:32 [INFO] Start evaluating (total_samples=500, total_iters=125)... aug_eval False scales 1.0 2020-12-16 10:30:25 [INFO] [EVAL] #Images=500 mIoU=0.7980 Acc=0.9620 Kappa=0.9507 2020-12-16 10:30:25 [INFO] [EVAL] Class IoU: [0.9816 0.8492 0.9284 0.5908 0.6327 0.6185 0.7156 0.7948 0.9257 0.6416 0.9493 0.8212 0.6487 0.9542 0.8707 0.9175 0.8539 0.6868 0.78 ] 2020-12-16 10:30:25 [INFO] [EVAL] Class Acc: [0.9938 0.9016 0.9575 0.8719 0.8378 0.7912 0.8521 0.8969 0.9558 0.8346 0.9681 0.8884 0.7921 0.9747 0.952 0.96 0.9598 0.8596 0.8601] 2020-12-16 10:30:36 [INFO] [EVAL] The model with the best validation mIoU (0.8001) was saved at iter 72000. 2020-12-16 10:30:49 [INFO] [TRAIN] epoch=199, iter=74010/80000, loss=0.1293, lr=0.000970, batch_cost=1.3119, reader_cost=0.0009 | ETA 02:10:58 2020-12-16 10:31:04 [INFO] [TRAIN] epoch=199, iter=74020/80000, loss=0.1370, lr=0.000969, batch_cost=1.4619, reader_cost=0.0025 | ETA 02:25:42 2020-12-16 10:31:16 [INFO] [TRAIN] epoch=200, iter=74030/80000, loss=0.1257, lr=0.000968, batch_cost=1.1914, reader_cost=0.0804 | ETA 01:58:32 2020-12-16 10:31:32 [INFO] [TRAIN] epoch=200, iter=74040/80000, loss=0.1068, lr=0.000966, batch_cost=1.5811, reader_cost=0.0011 | ETA 02:37:03 2020-12-16 10:31:46 [INFO] [TRAIN] epoch=200, iter=74050/80000, loss=0.1055, lr=0.000965, batch_cost=1.4541, reader_cost=0.0027 | ETA 02:24:11 2020-12-16 10:32:02 [INFO] [TRAIN] epoch=200, iter=74060/80000, loss=0.1465, lr=0.000963, batch_cost=1.5770, reader_cost=0.0014 | ETA 02:36:07 2020-12-16 10:32:17 [INFO] [TRAIN] epoch=200, iter=74070/80000, loss=0.1465, lr=0.000962, batch_cost=1.5160, reader_cost=0.0002 | ETA 02:29:49 2020-12-16 10:32:31 [INFO] [TRAIN] epoch=200, iter=74080/80000, loss=0.1211, lr=0.000960, batch_cost=1.3870, reader_cost=0.0037 | ETA 02:16:50 2020-12-16 10:32:45 [INFO] [TRAIN] epoch=200, iter=74090/80000, loss=0.1204, lr=0.000959, batch_cost=1.4518, reader_cost=0.0036 | ETA 02:23:00 2020-12-16 10:33:01 [INFO] [TRAIN] epoch=200, iter=74100/80000, loss=0.1550, lr=0.000957, batch_cost=1.5135, reader_cost=0.0018 | ETA 02:28:49 2020-12-16 10:33:15 [INFO] [TRAIN] epoch=200, iter=74110/80000, loss=0.1192, lr=0.000956, batch_cost=1.4374, reader_cost=0.0014 | ETA 02:21:06 2020-12-16 10:33:31 [INFO] [TRAIN] epoch=200, iter=74120/80000, loss=0.1322, lr=0.000954, batch_cost=1.5893, reader_cost=0.0002 | ETA 02:35:45 2020-12-16 10:33:47 [INFO] [TRAIN] epoch=200, iter=74130/80000, loss=0.1423, lr=0.000953, batch_cost=1.6073, reader_cost=0.0038 | ETA 02:37:14 2020-12-16 10:34:01 [INFO] [TRAIN] epoch=200, iter=74140/80000, loss=0.1539, lr=0.000951, batch_cost=1.4290, reader_cost=0.0005 | ETA 02:19:34 2020-12-16 10:34:16 [INFO] [TRAIN] epoch=200, iter=74150/80000, loss=0.1228, lr=0.000950, batch_cost=1.5039, reader_cost=0.0027 | ETA 02:26:37 2020-12-16 10:34:31 [INFO] [TRAIN] epoch=200, iter=74160/80000, loss=0.1536, lr=0.000949, batch_cost=1.5201, reader_cost=0.0038 | ETA 02:27:57 2020-12-16 10:34:47 [INFO] [TRAIN] epoch=200, iter=74170/80000, loss=0.1388, lr=0.000947, batch_cost=1.5623, reader_cost=0.0002 | ETA 02:31:48 2020-12-16 10:35:01 [INFO] [TRAIN] epoch=200, iter=74180/80000, loss=0.1036, lr=0.000946, batch_cost=1.3744, reader_cost=0.0031 | ETA 02:13:19 2020-12-16 10:35:16 [INFO] [TRAIN] epoch=200, iter=74190/80000, loss=0.1126, lr=0.000944, batch_cost=1.5650, reader_cost=0.0018 | ETA 02:31:32 2020-12-16 10:35:30 [INFO] [TRAIN] epoch=200, iter=74200/80000, loss=0.0882, lr=0.000943, batch_cost=1.3958, reader_cost=0.0025 | ETA 02:14:55 2020-12-16 10:35:46 [INFO] [TRAIN] epoch=200, iter=74210/80000, loss=0.1409, lr=0.000941, batch_cost=1.5333, reader_cost=0.0002 | ETA 02:27:57 2020-12-16 10:36:00 [INFO] [TRAIN] epoch=200, iter=74220/80000, loss=0.1240, lr=0.000940, batch_cost=1.4601, reader_cost=0.0002 | ETA 02:20:39 2020-12-16 10:36:15 [INFO] [TRAIN] epoch=200, iter=74230/80000, loss=0.1162, lr=0.000938, batch_cost=1.4736, reader_cost=0.0002 | ETA 02:21:42 2020-12-16 10:36:30 [INFO] [TRAIN] epoch=200, iter=74240/80000, loss=0.1165, lr=0.000937, batch_cost=1.4444, reader_cost=0.0013 | ETA 02:18:39 2020-12-16 10:36:44 [INFO] [TRAIN] epoch=200, iter=74250/80000, loss=0.1479, lr=0.000935, batch_cost=1.4806, reader_cost=0.0018 | ETA 02:21:53 2020-12-16 10:37:01 [INFO] [TRAIN] epoch=200, iter=74260/80000, loss=0.1025, lr=0.000934, batch_cost=1.6175, reader_cost=0.0022 | ETA 02:34:44 2020-12-16 10:37:16 [INFO] [TRAIN] epoch=200, iter=74270/80000, loss=0.1237, lr=0.000932, batch_cost=1.5540, reader_cost=0.0002 | ETA 02:28:24 2020-12-16 10:37:31 [INFO] [TRAIN] epoch=200, iter=74280/80000, loss=0.1335, lr=0.000931, batch_cost=1.4453, reader_cost=0.0015 | ETA 02:17:47 2020-12-16 10:37:41 [INFO] [TRAIN] epoch=200, iter=74290/80000, loss=0.1387, lr=0.000930, batch_cost=1.0853, reader_cost=0.0002 | ETA 01:43:17 2020-12-16 10:37:50 [INFO] [TRAIN] epoch=200, iter=74300/80000, loss=0.1261, lr=0.000928, batch_cost=0.8328, reader_cost=0.0001 | ETA 01:19:07 2020-12-16 10:37:58 [INFO] [TRAIN] epoch=200, iter=74310/80000, loss=0.1131, lr=0.000927, batch_cost=0.8039, reader_cost=0.0002 | ETA 01:16:14 2020-12-16 10:38:07 [INFO] [TRAIN] epoch=200, iter=74320/80000, loss=0.1193, lr=0.000925, batch_cost=0.9714, reader_cost=0.0001 | ETA 01:31:57 2020-12-16 10:38:21 [INFO] [TRAIN] epoch=200, iter=74330/80000, loss=0.1467, lr=0.000924, batch_cost=1.3961, reader_cost=0.0002 | ETA 02:11:56 2020-12-16 10:38:37 [INFO] [TRAIN] epoch=200, iter=74340/80000, loss=0.1575, lr=0.000922, batch_cost=1.5844, reader_cost=0.0002 | ETA 02:29:27 2020-12-16 10:38:53 [INFO] [TRAIN] epoch=200, iter=74350/80000, loss=0.1365, lr=0.000921, batch_cost=1.5484, reader_cost=0.0031 | ETA 02:25:48 2020-12-16 10:39:08 [INFO] [TRAIN] epoch=200, iter=74360/80000, loss=0.1027, lr=0.000919, batch_cost=1.5066, reader_cost=0.0012 | ETA 02:21:37 2020-12-16 10:39:23 [INFO] [TRAIN] epoch=200, iter=74370/80000, loss=0.1139, lr=0.000918, batch_cost=1.5250, reader_cost=0.0002 | ETA 02:23:05 2020-12-16 10:39:39 [INFO] [TRAIN] epoch=200, iter=74380/80000, loss=0.1354, lr=0.000916, batch_cost=1.6012, reader_cost=0.0010 | ETA 02:29:58 2020-12-16 10:39:53 [INFO] [TRAIN] epoch=200, iter=74390/80000, loss=0.1594, lr=0.000915, batch_cost=1.4152, reader_cost=0.0002 | ETA 02:12:19 2020-12-16 10:40:05 [INFO] [TRAIN] epoch=200, iter=74400/80000, loss=0.1455, lr=0.000913, batch_cost=1.2018, reader_cost=0.0007 | ETA 01:52:10 2020-12-16 10:40:22 [INFO] [TRAIN] epoch=201, iter=74410/80000, loss=0.1089, lr=0.000912, batch_cost=1.6426, reader_cost=0.0761 | ETA 02:33:01 2020-12-16 10:40:37 [INFO] [TRAIN] epoch=201, iter=74420/80000, loss=0.1263, lr=0.000910, batch_cost=1.5113, reader_cost=0.0027 | ETA 02:20:32 2020-12-16 10:40:51 [INFO] [TRAIN] epoch=201, iter=74430/80000, loss=0.1420, lr=0.000909, batch_cost=1.4640, reader_cost=0.0017 | ETA 02:15:54 2020-12-16 10:41:06 [INFO] [TRAIN] epoch=201, iter=74440/80000, loss=0.1865, lr=0.000908, batch_cost=1.4140, reader_cost=0.0010 | ETA 02:11:02 2020-12-16 10:41:20 [INFO] [TRAIN] epoch=201, iter=74450/80000, loss=0.1923, lr=0.000906, batch_cost=1.4220, reader_cost=0.0027 | ETA 02:11:32 2020-12-16 10:41:34 [INFO] [TRAIN] epoch=201, iter=74460/80000, loss=0.1584, lr=0.000905, batch_cost=1.4531, reader_cost=0.0014 | ETA 02:14:10 2020-12-16 10:41:50 [INFO] [TRAIN] epoch=201, iter=74470/80000, loss=0.1536, lr=0.000903, batch_cost=1.5685, reader_cost=0.0047 | ETA 02:24:34 2020-12-16 10:42:05 [INFO] [TRAIN] epoch=201, iter=74480/80000, loss=0.1256, lr=0.000902, batch_cost=1.4685, reader_cost=0.0003 | ETA 02:15:06 2020-12-16 10:42:21 [INFO] [TRAIN] epoch=201, iter=74490/80000, loss=0.1325, lr=0.000900, batch_cost=1.6023, reader_cost=0.0002 | ETA 02:27:08 2020-12-16 10:42:35 [INFO] [TRAIN] epoch=201, iter=74500/80000, loss=0.1088, lr=0.000899, batch_cost=1.4699, reader_cost=0.0002 | ETA 02:14:44 2020-12-16 10:42:51 [INFO] [TRAIN] epoch=201, iter=74510/80000, loss=0.1159, lr=0.000897, batch_cost=1.5339, reader_cost=0.0002 | ETA 02:20:21 2020-12-16 10:43:05 [INFO] [TRAIN] epoch=201, iter=74520/80000, loss=0.1966, lr=0.000896, batch_cost=1.4320, reader_cost=0.0002 | ETA 02:10:47 2020-12-16 10:43:20 [INFO] [TRAIN] epoch=201, iter=74530/80000, loss=0.1485, lr=0.000894, batch_cost=1.4514, reader_cost=0.0015 | ETA 02:12:19 2020-12-16 10:43:34 [INFO] [TRAIN] epoch=201, iter=74540/80000, loss=0.1320, lr=0.000893, batch_cost=1.4114, reader_cost=0.0003 | ETA 02:08:26 2020-12-16 10:43:49 [INFO] [TRAIN] epoch=201, iter=74550/80000, loss=0.1169, lr=0.000891, batch_cost=1.5744, reader_cost=0.0011 | ETA 02:23:00 2020-12-16 10:44:04 [INFO] [TRAIN] epoch=201, iter=74560/80000, loss=0.1650, lr=0.000890, batch_cost=1.4140, reader_cost=0.0019 | ETA 02:08:11 2020-12-16 10:44:18 [INFO] [TRAIN] epoch=201, iter=74570/80000, loss=0.1292, lr=0.000888, batch_cost=1.4840, reader_cost=0.0017 | ETA 02:14:17 2020-12-16 10:44:34 [INFO] [TRAIN] epoch=201, iter=74580/80000, loss=0.1197, lr=0.000887, batch_cost=1.5391, reader_cost=0.0004 | ETA 02:19:01 2020-12-16 10:44:48 [INFO] [TRAIN] epoch=201, iter=74590/80000, loss=0.1292, lr=0.000885, batch_cost=1.4551, reader_cost=0.0023 | ETA 02:11:12 2020-12-16 10:45:05 [INFO] [TRAIN] epoch=201, iter=74600/80000, loss=0.1684, lr=0.000884, batch_cost=1.6259, reader_cost=0.0002 | ETA 02:26:19 2020-12-16 10:45:19 [INFO] [TRAIN] epoch=201, iter=74610/80000, loss=0.1770, lr=0.000883, batch_cost=1.4331, reader_cost=0.0058 | ETA 02:08:44 2020-12-16 10:45:30 [INFO] [TRAIN] epoch=201, iter=74620/80000, loss=0.1938, lr=0.000881, batch_cost=1.1473, reader_cost=0.0002 | ETA 01:42:52 2020-12-16 10:45:39 [INFO] [TRAIN] epoch=201, iter=74630/80000, loss=0.1045, lr=0.000880, batch_cost=0.8513, reader_cost=0.0001 | ETA 01:16:11 2020-12-16 10:45:47 [INFO] [TRAIN] epoch=201, iter=74640/80000, loss=0.1600, lr=0.000878, batch_cost=0.8365, reader_cost=0.0001 | ETA 01:14:43 2020-12-16 10:45:57 [INFO] [TRAIN] epoch=201, iter=74650/80000, loss=0.1354, lr=0.000877, batch_cost=0.9491, reader_cost=0.0011 | ETA 01:24:37 2020-12-16 10:46:11 [INFO] [TRAIN] epoch=201, iter=74660/80000, loss=0.1653, lr=0.000875, batch_cost=1.4127, reader_cost=0.0002 | ETA 02:05:43 2020-12-16 10:46:26 [INFO] [TRAIN] epoch=201, iter=74670/80000, loss=0.1022, lr=0.000874, batch_cost=1.5123, reader_cost=0.0010 | ETA 02:14:20 2020-12-16 10:46:41 [INFO] [TRAIN] epoch=201, iter=74680/80000, loss=0.1709, lr=0.000872, batch_cost=1.4727, reader_cost=0.0002 | ETA 02:10:34 2020-12-16 10:46:55 [INFO] [TRAIN] epoch=201, iter=74690/80000, loss=0.1192, lr=0.000871, batch_cost=1.4394, reader_cost=0.0035 | ETA 02:07:23 2020-12-16 10:47:10 [INFO] [TRAIN] epoch=201, iter=74700/80000, loss=0.1263, lr=0.000869, batch_cost=1.4375, reader_cost=0.0003 | ETA 02:06:58 2020-12-16 10:47:23 [INFO] [TRAIN] epoch=201, iter=74710/80000, loss=0.1297, lr=0.000868, batch_cost=1.3100, reader_cost=0.0003 | ETA 01:55:30 2020-12-16 10:47:36 [INFO] [TRAIN] epoch=201, iter=74720/80000, loss=0.1312, lr=0.000866, batch_cost=1.3572, reader_cost=0.0017 | ETA 01:59:26 2020-12-16 10:47:51 [INFO] [TRAIN] epoch=201, iter=74730/80000, loss=0.1452, lr=0.000865, batch_cost=1.4322, reader_cost=0.0013 | ETA 02:05:47 2020-12-16 10:48:05 [INFO] [TRAIN] epoch=201, iter=74740/80000, loss=0.1385, lr=0.000863, batch_cost=1.4479, reader_cost=0.0043 | ETA 02:06:55 2020-12-16 10:48:20 [INFO] [TRAIN] epoch=201, iter=74750/80000, loss=0.1560, lr=0.000862, batch_cost=1.5355, reader_cost=0.0005 | ETA 02:14:21 2020-12-16 10:48:37 [INFO] [TRAIN] epoch=201, iter=74760/80000, loss=0.1363, lr=0.000860, batch_cost=1.6091, reader_cost=0.0024 | ETA 02:20:31 2020-12-16 10:48:49 [INFO] [TRAIN] epoch=201, iter=74770/80000, loss=0.1041, lr=0.000859, batch_cost=1.2580, reader_cost=0.0027 | ETA 01:49:39 2020-12-16 10:49:05 [INFO] [TRAIN] epoch=202, iter=74780/80000, loss=0.1337, lr=0.000857, batch_cost=1.6324, reader_cost=0.1011 | ETA 02:22:01 2020-12-16 10:49:21 [INFO] [TRAIN] epoch=202, iter=74790/80000, loss=0.1325, lr=0.000856, batch_cost=1.5353, reader_cost=0.0002 | ETA 02:13:18 2020-12-16 10:49:36 [INFO] [TRAIN] epoch=202, iter=74800/80000, loss=0.1244, lr=0.000854, batch_cost=1.5015, reader_cost=0.0040 | ETA 02:10:07 2020-12-16 10:49:51 [INFO] [TRAIN] epoch=202, iter=74810/80000, loss=0.0941, lr=0.000853, batch_cost=1.5047, reader_cost=0.0017 | ETA 02:10:09 2020-12-16 10:50:05 [INFO] [TRAIN] epoch=202, iter=74820/80000, loss=0.1434, lr=0.000852, batch_cost=1.4046, reader_cost=0.0017 | ETA 02:01:16 2020-12-16 10:50:19 [INFO] [TRAIN] epoch=202, iter=74830/80000, loss=0.1113, lr=0.000850, batch_cost=1.3902, reader_cost=0.0002 | ETA 01:59:47 2020-12-16 10:50:34 [INFO] [TRAIN] epoch=202, iter=74840/80000, loss=0.1199, lr=0.000849, batch_cost=1.4753, reader_cost=0.0030 | ETA 02:06:52 2020-12-16 10:50:48 [INFO] [TRAIN] epoch=202, iter=74850/80000, loss=0.1390, lr=0.000847, batch_cost=1.4712, reader_cost=0.0062 | ETA 02:06:16 2020-12-16 10:51:03 [INFO] [TRAIN] epoch=202, iter=74860/80000, loss=0.1502, lr=0.000846, batch_cost=1.4901, reader_cost=0.0026 | ETA 02:07:39 2020-12-16 10:51:19 [INFO] [TRAIN] epoch=202, iter=74870/80000, loss=0.1483, lr=0.000844, batch_cost=1.5430, reader_cost=0.0016 | ETA 02:11:55 2020-12-16 10:51:33 [INFO] [TRAIN] epoch=202, iter=74880/80000, loss=0.1348, lr=0.000843, batch_cost=1.4839, reader_cost=0.0002 | ETA 02:06:37 2020-12-16 10:51:48 [INFO] [TRAIN] epoch=202, iter=74890/80000, loss=0.0963, lr=0.000841, batch_cost=1.4816, reader_cost=0.0019 | ETA 02:06:11 2020-12-16 10:52:02 [INFO] [TRAIN] epoch=202, iter=74900/80000, loss=0.1090, lr=0.000840, batch_cost=1.3576, reader_cost=0.0021 | ETA 01:55:23 2020-12-16 10:52:15 [INFO] [TRAIN] epoch=202, iter=74910/80000, loss=0.1332, lr=0.000838, batch_cost=1.3320, reader_cost=0.0002 | ETA 01:52:59 2020-12-16 10:52:29 [INFO] [TRAIN] epoch=202, iter=74920/80000, loss=0.3439, lr=0.000837, batch_cost=1.3477, reader_cost=0.0024 | ETA 01:54:06 2020-12-16 10:52:42 [INFO] [TRAIN] epoch=202, iter=74930/80000, loss=0.1304, lr=0.000835, batch_cost=1.3180, reader_cost=0.0025 | ETA 01:51:22 2020-12-16 10:52:54 [INFO] [TRAIN] epoch=202, iter=74940/80000, loss=0.1248, lr=0.000834, batch_cost=1.2118, reader_cost=0.0024 | ETA 01:42:11 2020-12-16 10:53:03 [INFO] [TRAIN] epoch=202, iter=74950/80000, loss=0.1099, lr=0.000832, batch_cost=0.8699, reader_cost=0.0001 | ETA 01:13:12 2020-12-16 10:53:11 [INFO] [TRAIN] epoch=202, iter=74960/80000, loss=0.1557, lr=0.000831, batch_cost=0.8258, reader_cost=0.0001 | ETA 01:09:22 2020-12-16 10:53:20 [INFO] [TRAIN] epoch=202, iter=74970/80000, loss=0.1458, lr=0.000829, batch_cost=0.9365, reader_cost=0.0001 | ETA 01:18:30 2020-12-16 10:53:33 [INFO] [TRAIN] epoch=202, iter=74980/80000, loss=0.1050, lr=0.000828, batch_cost=1.3191, reader_cost=0.0002 | ETA 01:50:21 2020-12-16 10:53:48 [INFO] [TRAIN] epoch=202, iter=74990/80000, loss=0.1396, lr=0.000826, batch_cost=1.4321, reader_cost=0.0002 | ETA 01:59:34 2020-12-16 10:54:02 [INFO] [TRAIN] epoch=202, iter=75000/80000, loss=0.1083, lr=0.000825, batch_cost=1.4389, reader_cost=0.0011 | ETA 01:59:54 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 10:54:02 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 10:54:59 [INFO] [EVAL] #Images=500 mIoU=0.7993 Acc=0.9620 Kappa=0.9507 2020-12-16 10:54:59 [INFO] [EVAL] Class IoU: [0.9808 0.8458 0.929 0.6034 0.6458 0.6184 0.7146 0.7924 0.926 0.6441 0.9497 0.8222 0.6569 0.9545 0.8676 0.9206 0.8482 0.6855 0.7806] 2020-12-16 10:54:59 [INFO] [EVAL] Class Acc: [0.9931 0.9036 0.9584 0.8583 0.8366 0.7977 0.8387 0.9099 0.9542 0.8642 0.9687 0.8851 0.8058 0.9747 0.9372 0.9656 0.9452 0.8419 0.8598] 2020-12-16 10:55:10 [INFO] [EVAL] The model with the best validation mIoU (0.8001) was saved at iter 72000. 2020-12-16 10:55:24 [INFO] [TRAIN] epoch=202, iter=75010/80000, loss=0.1107, lr=0.000823, batch_cost=1.4103, reader_cost=0.0024 | ETA 01:57:17 2020-12-16 10:55:39 [INFO] [TRAIN] epoch=202, iter=75020/80000, loss=0.1258, lr=0.000822, batch_cost=1.5167, reader_cost=0.0022 | ETA 02:05:53 2020-12-16 10:55:54 [INFO] [TRAIN] epoch=202, iter=75030/80000, loss=0.1756, lr=0.000820, batch_cost=1.4988, reader_cost=0.0037 | ETA 02:04:08 2020-12-16 10:56:08 [INFO] [TRAIN] epoch=202, iter=75040/80000, loss=0.1362, lr=0.000819, batch_cost=1.4349, reader_cost=0.0015 | ETA 01:58:37 2020-12-16 10:56:22 [INFO] [TRAIN] epoch=202, iter=75050/80000, loss=0.1496, lr=0.000817, batch_cost=1.3925, reader_cost=0.0011 | ETA 01:54:53 2020-12-16 10:56:37 [INFO] [TRAIN] epoch=202, iter=75060/80000, loss=0.1724, lr=0.000816, batch_cost=1.4509, reader_cost=0.0002 | ETA 01:59:27 2020-12-16 10:56:50 [INFO] [TRAIN] epoch=202, iter=75070/80000, loss=0.1282, lr=0.000814, batch_cost=1.2884, reader_cost=0.0048 | ETA 01:45:52 2020-12-16 10:57:03 [INFO] [TRAIN] epoch=202, iter=75080/80000, loss=0.1525, lr=0.000813, batch_cost=1.2972, reader_cost=0.0002 | ETA 01:46:22 2020-12-16 10:57:15 [INFO] [TRAIN] epoch=202, iter=75090/80000, loss=0.1416, lr=0.000811, batch_cost=1.1937, reader_cost=0.0002 | ETA 01:37:41 2020-12-16 10:57:26 [INFO] [TRAIN] epoch=202, iter=75100/80000, loss=0.1182, lr=0.000810, batch_cost=1.1398, reader_cost=0.0002 | ETA 01:33:04 2020-12-16 10:57:40 [INFO] [TRAIN] epoch=202, iter=75110/80000, loss=0.1209, lr=0.000808, batch_cost=1.3935, reader_cost=0.0001 | ETA 01:53:34 2020-12-16 10:57:53 [INFO] [TRAIN] epoch=202, iter=75120/80000, loss=0.1590, lr=0.000807, batch_cost=1.2544, reader_cost=0.0052 | ETA 01:42:01 2020-12-16 10:58:06 [INFO] [TRAIN] epoch=202, iter=75130/80000, loss=0.1000, lr=0.000806, batch_cost=1.3095, reader_cost=0.0001 | ETA 01:46:17 2020-12-16 10:58:18 [INFO] [TRAIN] epoch=202, iter=75140/80000, loss=0.1439, lr=0.000804, batch_cost=1.2008, reader_cost=0.0001 | ETA 01:37:15 2020-12-16 10:58:30 [INFO] [TRAIN] epoch=203, iter=75150/80000, loss=0.1450, lr=0.000803, batch_cost=1.2486, reader_cost=0.0646 | ETA 01:40:55 2020-12-16 10:58:42 [INFO] [TRAIN] epoch=203, iter=75160/80000, loss=0.2415, lr=0.000801, batch_cost=1.1794, reader_cost=0.0003 | ETA 01:35:08 2020-12-16 10:58:56 [INFO] [TRAIN] epoch=203, iter=75170/80000, loss=0.1269, lr=0.000800, batch_cost=1.3689, reader_cost=0.0018 | ETA 01:50:11 2020-12-16 10:59:09 [INFO] [TRAIN] epoch=203, iter=75180/80000, loss=0.1436, lr=0.000798, batch_cost=1.3010, reader_cost=0.0010 | ETA 01:44:30 2020-12-16 10:59:23 [INFO] [TRAIN] epoch=203, iter=75190/80000, loss=0.1388, lr=0.000797, batch_cost=1.4741, reader_cost=0.0001 | ETA 01:58:10 2020-12-16 10:59:32 [INFO] [TRAIN] epoch=203, iter=75200/80000, loss=0.1244, lr=0.000795, batch_cost=0.8587, reader_cost=0.0001 | ETA 01:08:41 2020-12-16 10:59:40 [INFO] [TRAIN] epoch=203, iter=75210/80000, loss=0.0924, lr=0.000794, batch_cost=0.8354, reader_cost=0.0001 | ETA 01:06:41 2020-12-16 10:59:49 [INFO] [TRAIN] epoch=203, iter=75220/80000, loss=0.1361, lr=0.000792, batch_cost=0.8797, reader_cost=0.0001 | ETA 01:10:04 2020-12-16 11:00:00 [INFO] [TRAIN] epoch=203, iter=75230/80000, loss=0.1520, lr=0.000791, batch_cost=1.1234, reader_cost=0.0001 | ETA 01:29:18 2020-12-16 11:00:13 [INFO] [TRAIN] epoch=203, iter=75240/80000, loss=0.1333, lr=0.000789, batch_cost=1.3075, reader_cost=0.0008 | ETA 01:43:43 2020-12-16 11:00:26 [INFO] [TRAIN] epoch=203, iter=75250/80000, loss=0.1501, lr=0.000788, batch_cost=1.2809, reader_cost=0.0031 | ETA 01:41:24 2020-12-16 11:00:40 [INFO] [TRAIN] epoch=203, iter=75260/80000, loss=0.1381, lr=0.000786, batch_cost=1.4014, reader_cost=0.0002 | ETA 01:50:42 2020-12-16 11:00:53 [INFO] [TRAIN] epoch=203, iter=75270/80000, loss=0.1876, lr=0.000785, batch_cost=1.2819, reader_cost=0.0056 | ETA 01:41:03 2020-12-16 11:01:07 [INFO] [TRAIN] epoch=203, iter=75280/80000, loss=0.1216, lr=0.000783, batch_cost=1.3893, reader_cost=0.0001 | ETA 01:49:17 2020-12-16 11:01:20 [INFO] [TRAIN] epoch=203, iter=75290/80000, loss=0.1342, lr=0.000782, batch_cost=1.3419, reader_cost=0.0036 | ETA 01:45:20 2020-12-16 11:01:32 [INFO] [TRAIN] epoch=203, iter=75300/80000, loss=0.1244, lr=0.000780, batch_cost=1.2022, reader_cost=0.0002 | ETA 01:34:10 2020-12-16 11:01:45 [INFO] [TRAIN] epoch=203, iter=75310/80000, loss=0.1618, lr=0.000779, batch_cost=1.2322, reader_cost=0.0001 | ETA 01:36:18 2020-12-16 11:01:57 [INFO] [TRAIN] epoch=203, iter=75320/80000, loss=0.1224, lr=0.000777, batch_cost=1.1892, reader_cost=0.0001 | ETA 01:32:45 2020-12-16 11:02:09 [INFO] [TRAIN] epoch=203, iter=75330/80000, loss=0.1496, lr=0.000776, batch_cost=1.2193, reader_cost=0.0001 | ETA 01:34:54 2020-12-16 11:02:22 [INFO] [TRAIN] epoch=203, iter=75340/80000, loss=0.1196, lr=0.000774, batch_cost=1.3088, reader_cost=0.0001 | ETA 01:41:39 2020-12-16 11:02:34 [INFO] [TRAIN] epoch=203, iter=75350/80000, loss=0.1431, lr=0.000773, batch_cost=1.1890, reader_cost=0.0001 | ETA 01:32:08 2020-12-16 11:02:46 [INFO] [TRAIN] epoch=203, iter=75360/80000, loss=0.0920, lr=0.000771, batch_cost=1.2373, reader_cost=0.0035 | ETA 01:35:41 2020-12-16 11:02:59 [INFO] [TRAIN] epoch=203, iter=75370/80000, loss=0.1169, lr=0.000770, batch_cost=1.2568, reader_cost=0.0011 | ETA 01:36:59 2020-12-16 11:03:11 [INFO] [TRAIN] epoch=203, iter=75380/80000, loss=0.1528, lr=0.000768, batch_cost=1.2380, reader_cost=0.0001 | ETA 01:35:19 2020-12-16 11:03:24 [INFO] [TRAIN] epoch=203, iter=75390/80000, loss=0.1156, lr=0.000767, batch_cost=1.2416, reader_cost=0.0038 | ETA 01:35:23 2020-12-16 11:03:36 [INFO] [TRAIN] epoch=203, iter=75400/80000, loss=0.2173, lr=0.000765, batch_cost=1.2399, reader_cost=0.0001 | ETA 01:35:03 2020-12-16 11:03:48 [INFO] [TRAIN] epoch=203, iter=75410/80000, loss=0.1665, lr=0.000764, batch_cost=1.1807, reader_cost=0.0021 | ETA 01:30:19 2020-12-16 11:04:01 [INFO] [TRAIN] epoch=203, iter=75420/80000, loss=0.1424, lr=0.000762, batch_cost=1.3210, reader_cost=0.0002 | ETA 01:40:50 2020-12-16 11:04:14 [INFO] [TRAIN] epoch=203, iter=75430/80000, loss=0.1035, lr=0.000761, batch_cost=1.2724, reader_cost=0.0007 | ETA 01:36:54 2020-12-16 11:04:25 [INFO] [TRAIN] epoch=203, iter=75440/80000, loss=0.1024, lr=0.000759, batch_cost=1.1296, reader_cost=0.0001 | ETA 01:25:50 2020-12-16 11:04:38 [INFO] [TRAIN] epoch=203, iter=75450/80000, loss=0.1395, lr=0.000758, batch_cost=1.3161, reader_cost=0.0032 | ETA 01:39:48 2020-12-16 11:04:52 [INFO] [TRAIN] epoch=203, iter=75460/80000, loss=0.1121, lr=0.000756, batch_cost=1.3561, reader_cost=0.0001 | ETA 01:42:36 2020-12-16 11:05:03 [INFO] [TRAIN] epoch=203, iter=75470/80000, loss=0.1038, lr=0.000755, batch_cost=1.1701, reader_cost=0.0001 | ETA 01:28:20 2020-12-16 11:05:14 [INFO] [TRAIN] epoch=203, iter=75480/80000, loss=0.1007, lr=0.000753, batch_cost=1.0334, reader_cost=0.0001 | ETA 01:17:50 2020-12-16 11:05:22 [INFO] [TRAIN] epoch=203, iter=75490/80000, loss=0.1225, lr=0.000752, batch_cost=0.8456, reader_cost=0.0001 | ETA 01:03:33 2020-12-16 11:05:30 [INFO] [TRAIN] epoch=203, iter=75500/80000, loss=0.1429, lr=0.000750, batch_cost=0.8261, reader_cost=0.0001 | ETA 01:01:57 2020-12-16 11:05:41 [INFO] [TRAIN] epoch=203, iter=75510/80000, loss=0.1094, lr=0.000749, batch_cost=1.0450, reader_cost=0.0001 | ETA 01:18:11 2020-12-16 11:05:53 [INFO] [TRAIN] epoch=204, iter=75520/80000, loss=0.1765, lr=0.000747, batch_cost=1.1720, reader_cost=0.0674 | ETA 01:27:30 2020-12-16 11:06:06 [INFO] [TRAIN] epoch=204, iter=75530/80000, loss=0.1211, lr=0.000746, batch_cost=1.2918, reader_cost=0.0035 | ETA 01:36:14 2020-12-16 11:06:18 [INFO] [TRAIN] epoch=204, iter=75540/80000, loss=0.1265, lr=0.000744, batch_cost=1.2160, reader_cost=0.0030 | ETA 01:30:23 2020-12-16 11:06:30 [INFO] [TRAIN] epoch=204, iter=75550/80000, loss=0.1385, lr=0.000743, batch_cost=1.1890, reader_cost=0.0001 | ETA 01:28:11 2020-12-16 11:06:39 [INFO] [TRAIN] epoch=204, iter=75560/80000, loss=0.1236, lr=0.000741, batch_cost=0.9671, reader_cost=0.0023 | ETA 01:11:33 2020-12-16 11:06:48 [INFO] [TRAIN] epoch=204, iter=75570/80000, loss=0.1478, lr=0.000740, batch_cost=0.8430, reader_cost=0.0001 | ETA 01:02:14 2020-12-16 11:06:56 [INFO] [TRAIN] epoch=204, iter=75580/80000, loss=0.0926, lr=0.000738, batch_cost=0.8207, reader_cost=0.0001 | ETA 01:00:27 2020-12-16 11:07:04 [INFO] [TRAIN] epoch=204, iter=75590/80000, loss=0.1355, lr=0.000737, batch_cost=0.8261, reader_cost=0.0001 | ETA 01:00:43 2020-12-16 11:07:13 [INFO] [TRAIN] epoch=204, iter=75600/80000, loss=0.1146, lr=0.000735, batch_cost=0.8867, reader_cost=0.0009 | ETA 01:05:01 2020-12-16 11:07:25 [INFO] [TRAIN] epoch=204, iter=75610/80000, loss=0.1237, lr=0.000734, batch_cost=1.1857, reader_cost=0.0002 | ETA 01:26:45 2020-12-16 11:07:38 [INFO] [TRAIN] epoch=204, iter=75620/80000, loss=0.1541, lr=0.000732, batch_cost=1.2833, reader_cost=0.0025 | ETA 01:33:40 2020-12-16 11:07:51 [INFO] [TRAIN] epoch=204, iter=75630/80000, loss=0.1419, lr=0.000731, batch_cost=1.2870, reader_cost=0.0010 | ETA 01:33:44 2020-12-16 11:08:04 [INFO] [TRAIN] epoch=204, iter=75640/80000, loss=0.1155, lr=0.000729, batch_cost=1.3671, reader_cost=0.0008 | ETA 01:39:20 2020-12-16 11:08:18 [INFO] [TRAIN] epoch=204, iter=75650/80000, loss=0.1217, lr=0.000728, batch_cost=1.3227, reader_cost=0.0009 | ETA 01:35:53 2020-12-16 11:08:29 [INFO] [TRAIN] epoch=204, iter=75660/80000, loss=0.1238, lr=0.000726, batch_cost=1.1174, reader_cost=0.0001 | ETA 01:20:49 2020-12-16 11:08:41 [INFO] [TRAIN] epoch=204, iter=75670/80000, loss=0.1762, lr=0.000725, batch_cost=1.2014, reader_cost=0.0001 | ETA 01:26:42 2020-12-16 11:08:52 [INFO] [TRAIN] epoch=204, iter=75680/80000, loss=0.1373, lr=0.000723, batch_cost=1.1122, reader_cost=0.0029 | ETA 01:20:04 2020-12-16 11:09:04 [INFO] [TRAIN] epoch=204, iter=75690/80000, loss=0.1376, lr=0.000722, batch_cost=1.1838, reader_cost=0.0001 | ETA 01:25:02 2020-12-16 11:09:16 [INFO] [TRAIN] epoch=204, iter=75700/80000, loss=0.1273, lr=0.000720, batch_cost=1.2352, reader_cost=0.0003 | ETA 01:28:31 2020-12-16 11:09:29 [INFO] [TRAIN] epoch=204, iter=75710/80000, loss=0.1373, lr=0.000719, batch_cost=1.2620, reader_cost=0.0004 | ETA 01:30:14 2020-12-16 11:09:42 [INFO] [TRAIN] epoch=204, iter=75720/80000, loss=0.1127, lr=0.000717, batch_cost=1.3065, reader_cost=0.0009 | ETA 01:33:11 2020-12-16 11:09:55 [INFO] [TRAIN] epoch=204, iter=75730/80000, loss=0.1181, lr=0.000716, batch_cost=1.3267, reader_cost=0.0001 | ETA 01:34:24 2020-12-16 11:10:07 [INFO] [TRAIN] epoch=204, iter=75740/80000, loss=0.1443, lr=0.000714, batch_cost=1.2303, reader_cost=0.0011 | ETA 01:27:21 2020-12-16 11:10:18 [INFO] [TRAIN] epoch=204, iter=75750/80000, loss=0.1151, lr=0.000713, batch_cost=1.1167, reader_cost=0.0001 | ETA 01:19:06 2020-12-16 11:10:31 [INFO] [TRAIN] epoch=204, iter=75760/80000, loss=0.1265, lr=0.000711, batch_cost=1.2816, reader_cost=0.0008 | ETA 01:30:33 2020-12-16 11:10:40 [INFO] [TRAIN] epoch=204, iter=75770/80000, loss=0.0924, lr=0.000710, batch_cost=0.8429, reader_cost=0.0019 | ETA 00:59:25 2020-12-16 11:10:48 [INFO] [TRAIN] epoch=204, iter=75780/80000, loss=0.1345, lr=0.000708, batch_cost=0.8230, reader_cost=0.0001 | ETA 00:57:53 2020-12-16 11:10:57 [INFO] [TRAIN] epoch=204, iter=75790/80000, loss=0.1333, lr=0.000707, batch_cost=0.8698, reader_cost=0.0001 | ETA 01:01:02 2020-12-16 11:11:09 [INFO] [TRAIN] epoch=204, iter=75800/80000, loss=0.1295, lr=0.000705, batch_cost=1.1950, reader_cost=0.0001 | ETA 01:23:38 2020-12-16 11:11:22 [INFO] [TRAIN] epoch=204, iter=75810/80000, loss=0.1227, lr=0.000704, batch_cost=1.3453, reader_cost=0.0022 | ETA 01:33:56 2020-12-16 11:11:35 [INFO] [TRAIN] epoch=204, iter=75820/80000, loss=0.2144, lr=0.000702, batch_cost=1.3403, reader_cost=0.0029 | ETA 01:33:22 2020-12-16 11:11:48 [INFO] [TRAIN] epoch=204, iter=75830/80000, loss=0.1121, lr=0.000701, batch_cost=1.2420, reader_cost=0.0076 | ETA 01:26:18 2020-12-16 11:11:59 [INFO] [TRAIN] epoch=204, iter=75840/80000, loss=0.1366, lr=0.000699, batch_cost=1.1566, reader_cost=0.0007 | ETA 01:20:11 2020-12-16 11:12:12 [INFO] [TRAIN] epoch=204, iter=75850/80000, loss=0.1092, lr=0.000698, batch_cost=1.2662, reader_cost=0.0023 | ETA 01:27:34 2020-12-16 11:12:24 [INFO] [TRAIN] epoch=204, iter=75860/80000, loss=0.1636, lr=0.000696, batch_cost=1.2347, reader_cost=0.0001 | ETA 01:25:11 2020-12-16 11:12:38 [INFO] [TRAIN] epoch=204, iter=75870/80000, loss=0.1052, lr=0.000694, batch_cost=1.3143, reader_cost=0.0009 | ETA 01:30:27 2020-12-16 11:12:50 [INFO] [TRAIN] epoch=204, iter=75880/80000, loss=0.1103, lr=0.000693, batch_cost=1.2298, reader_cost=0.0001 | ETA 01:24:26 2020-12-16 11:13:01 [INFO] [TRAIN] epoch=205, iter=75890/80000, loss=0.1194, lr=0.000691, batch_cost=1.1364, reader_cost=0.0661 | ETA 01:17:50 2020-12-16 11:13:15 [INFO] [TRAIN] epoch=205, iter=75900/80000, loss=0.1308, lr=0.000690, batch_cost=1.3282, reader_cost=0.0013 | ETA 01:30:45 2020-12-16 11:13:26 [INFO] [TRAIN] epoch=205, iter=75910/80000, loss=0.1612, lr=0.000688, batch_cost=1.1496, reader_cost=0.0009 | ETA 01:18:21 2020-12-16 11:13:37 [INFO] [TRAIN] epoch=205, iter=75920/80000, loss=0.1362, lr=0.000687, batch_cost=1.1389, reader_cost=0.0007 | ETA 01:17:26 2020-12-16 11:13:49 [INFO] [TRAIN] epoch=205, iter=75930/80000, loss=0.0990, lr=0.000685, batch_cost=1.1379, reader_cost=0.0048 | ETA 01:17:11 2020-12-16 11:14:01 [INFO] [TRAIN] epoch=205, iter=75940/80000, loss=0.1314, lr=0.000684, batch_cost=1.2279, reader_cost=0.0008 | ETA 01:23:05 2020-12-16 11:14:14 [INFO] [TRAIN] epoch=205, iter=75950/80000, loss=0.1301, lr=0.000682, batch_cost=1.2879, reader_cost=0.0022 | ETA 01:26:55 2020-12-16 11:14:26 [INFO] [TRAIN] epoch=205, iter=75960/80000, loss=0.1219, lr=0.000681, batch_cost=1.2494, reader_cost=0.0007 | ETA 01:24:07 2020-12-16 11:14:39 [INFO] [TRAIN] epoch=205, iter=75970/80000, loss=0.1245, lr=0.000679, batch_cost=1.2834, reader_cost=0.0003 | ETA 01:26:11 2020-12-16 11:14:52 [INFO] [TRAIN] epoch=205, iter=75980/80000, loss=0.1139, lr=0.000678, batch_cost=1.3019, reader_cost=0.0042 | ETA 01:27:13 2020-12-16 11:15:05 [INFO] [TRAIN] epoch=205, iter=75990/80000, loss=0.1575, lr=0.000676, batch_cost=1.2322, reader_cost=0.0009 | ETA 01:22:21 2020-12-16 11:15:17 [INFO] [TRAIN] epoch=205, iter=76000/80000, loss=0.1373, lr=0.000675, batch_cost=1.2327, reader_cost=0.0011 | ETA 01:22:10 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 11:15:17 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 11:16:07 [INFO] [EVAL] #Images=500 mIoU=0.8003 Acc=0.9629 Kappa=0.9518 2020-12-16 11:16:07 [INFO] [EVAL] Class IoU: [0.9831 0.8616 0.9292 0.6092 0.6264 0.6205 0.7178 0.7937 0.9255 0.6655 0.9493 0.8225 0.6647 0.9529 0.8414 0.924 0.8537 0.6833 0.7813] 2020-12-16 11:16:07 [INFO] [EVAL] Class Acc: [0.9928 0.9268 0.9589 0.8545 0.8394 0.7939 0.833 0.9041 0.9542 0.8302 0.9698 0.8827 0.803 0.974 0.9123 0.9708 0.9532 0.8495 0.8642] 2020-12-16 11:16:18 [INFO] [EVAL] The model with the best validation mIoU (0.8003) was saved at iter 76000. 2020-12-16 11:16:30 [INFO] [TRAIN] epoch=205, iter=76010/80000, loss=0.1055, lr=0.000673, batch_cost=1.2374, reader_cost=0.0008 | ETA 01:22:17 2020-12-16 11:16:43 [INFO] [TRAIN] epoch=205, iter=76020/80000, loss=0.1718, lr=0.000672, batch_cost=1.2632, reader_cost=0.0001 | ETA 01:23:47 2020-12-16 11:16:55 [INFO] [TRAIN] epoch=205, iter=76030/80000, loss=0.1492, lr=0.000670, batch_cost=1.2157, reader_cost=0.0001 | ETA 01:20:26 2020-12-16 11:17:08 [INFO] [TRAIN] epoch=205, iter=76040/80000, loss=0.1322, lr=0.000669, batch_cost=1.3054, reader_cost=0.0005 | ETA 01:26:09 2020-12-16 11:17:20 [INFO] [TRAIN] epoch=205, iter=76050/80000, loss=0.0937, lr=0.000667, batch_cost=1.2373, reader_cost=0.0002 | ETA 01:21:27 2020-12-16 11:17:33 [INFO] [TRAIN] epoch=205, iter=76060/80000, loss=0.1289, lr=0.000666, batch_cost=1.2927, reader_cost=0.0001 | ETA 01:24:53 2020-12-16 11:17:46 [INFO] [TRAIN] epoch=205, iter=76070/80000, loss=0.1539, lr=0.000664, batch_cost=1.2610, reader_cost=0.0001 | ETA 01:22:35 2020-12-16 11:17:57 [INFO] [TRAIN] epoch=205, iter=76080/80000, loss=0.1950, lr=0.000663, batch_cost=1.1442, reader_cost=0.0001 | ETA 01:14:45 2020-12-16 11:18:10 [INFO] [TRAIN] epoch=205, iter=76090/80000, loss=0.1330, lr=0.000661, batch_cost=1.3012, reader_cost=0.0011 | ETA 01:24:47 2020-12-16 11:18:23 [INFO] [TRAIN] epoch=205, iter=76100/80000, loss=0.1638, lr=0.000660, batch_cost=1.2960, reader_cost=0.0008 | ETA 01:24:14 2020-12-16 11:18:36 [INFO] [TRAIN] epoch=205, iter=76110/80000, loss=0.1561, lr=0.000658, batch_cost=1.2927, reader_cost=0.0001 | ETA 01:23:48 2020-12-16 11:18:48 [INFO] [TRAIN] epoch=205, iter=76120/80000, loss=0.1171, lr=0.000657, batch_cost=1.2382, reader_cost=0.0026 | ETA 01:20:04 2020-12-16 11:19:01 [INFO] [TRAIN] epoch=205, iter=76130/80000, loss=0.1445, lr=0.000655, batch_cost=1.2453, reader_cost=0.0001 | ETA 01:20:19 2020-12-16 11:19:13 [INFO] [TRAIN] epoch=205, iter=76140/80000, loss=0.1168, lr=0.000654, batch_cost=1.1635, reader_cost=0.0001 | ETA 01:14:51 2020-12-16 11:19:25 [INFO] [TRAIN] epoch=205, iter=76150/80000, loss=0.1260, lr=0.000652, batch_cost=1.2694, reader_cost=0.0001 | ETA 01:21:27 2020-12-16 11:19:38 [INFO] [TRAIN] epoch=205, iter=76160/80000, loss=0.1296, lr=0.000650, batch_cost=1.2958, reader_cost=0.0029 | ETA 01:22:55 2020-12-16 11:19:52 [INFO] [TRAIN] epoch=205, iter=76170/80000, loss=0.1173, lr=0.000649, batch_cost=1.3524, reader_cost=0.0018 | ETA 01:26:19 2020-12-16 11:20:04 [INFO] [TRAIN] epoch=205, iter=76180/80000, loss=0.1215, lr=0.000647, batch_cost=1.2402, reader_cost=0.0001 | ETA 01:18:57 2020-12-16 11:20:14 [INFO] [TRAIN] epoch=205, iter=76190/80000, loss=0.1457, lr=0.000646, batch_cost=1.0208, reader_cost=0.0001 | ETA 01:04:49 2020-12-16 11:20:23 [INFO] [TRAIN] epoch=205, iter=76200/80000, loss=0.1222, lr=0.000644, batch_cost=0.8333, reader_cost=0.0001 | ETA 00:52:46 2020-12-16 11:20:31 [INFO] [TRAIN] epoch=205, iter=76210/80000, loss=0.1294, lr=0.000643, batch_cost=0.8444, reader_cost=0.0001 | ETA 00:53:20 2020-12-16 11:20:40 [INFO] [TRAIN] epoch=205, iter=76220/80000, loss=0.1365, lr=0.000641, batch_cost=0.9171, reader_cost=0.0002 | ETA 00:57:46 2020-12-16 11:20:54 [INFO] [TRAIN] epoch=205, iter=76230/80000, loss=0.1372, lr=0.000640, batch_cost=1.3348, reader_cost=0.0016 | ETA 01:23:52 2020-12-16 11:21:08 [INFO] [TRAIN] epoch=205, iter=76240/80000, loss=0.1162, lr=0.000638, batch_cost=1.4081, reader_cost=0.0002 | ETA 01:28:14 2020-12-16 11:21:22 [INFO] [TRAIN] epoch=205, iter=76250/80000, loss=0.1464, lr=0.000637, batch_cost=1.4461, reader_cost=0.0028 | ETA 01:30:22 2020-12-16 11:21:34 [INFO] [TRAIN] epoch=205, iter=76260/80000, loss=0.1723, lr=0.000635, batch_cost=1.1327, reader_cost=0.0002 | ETA 01:10:36 2020-12-16 11:21:50 [INFO] [TRAIN] epoch=206, iter=76270/80000, loss=0.1288, lr=0.000634, batch_cost=1.6176, reader_cost=0.1094 | ETA 01:40:33 2020-12-16 11:22:05 [INFO] [TRAIN] epoch=206, iter=76280/80000, loss=0.1020, lr=0.000632, batch_cost=1.5419, reader_cost=0.0009 | ETA 01:35:35 2020-12-16 11:22:19 [INFO] [TRAIN] epoch=206, iter=76290/80000, loss=0.1037, lr=0.000631, batch_cost=1.4067, reader_cost=0.0022 | ETA 01:26:58 2020-12-16 11:22:33 [INFO] [TRAIN] epoch=206, iter=76300/80000, loss=0.0928, lr=0.000629, batch_cost=1.3792, reader_cost=0.0073 | ETA 01:25:03 2020-12-16 11:22:47 [INFO] [TRAIN] epoch=206, iter=76310/80000, loss=0.1837, lr=0.000628, batch_cost=1.3590, reader_cost=0.0036 | ETA 01:23:34 2020-12-16 11:23:00 [INFO] [TRAIN] epoch=206, iter=76320/80000, loss=0.1086, lr=0.000626, batch_cost=1.3898, reader_cost=0.0048 | ETA 01:25:14 2020-12-16 11:23:16 [INFO] [TRAIN] epoch=206, iter=76330/80000, loss=0.1506, lr=0.000624, batch_cost=1.5166, reader_cost=0.0026 | ETA 01:32:45 2020-12-16 11:23:29 [INFO] [TRAIN] epoch=206, iter=76340/80000, loss=0.1502, lr=0.000623, batch_cost=1.3602, reader_cost=0.0052 | ETA 01:22:58 2020-12-16 11:23:44 [INFO] [TRAIN] epoch=206, iter=76350/80000, loss=0.1094, lr=0.000621, batch_cost=1.4419, reader_cost=0.0019 | ETA 01:27:42 2020-12-16 11:23:59 [INFO] [TRAIN] epoch=206, iter=76360/80000, loss=0.1194, lr=0.000620, batch_cost=1.5095, reader_cost=0.0030 | ETA 01:31:34 2020-12-16 11:24:12 [INFO] [TRAIN] epoch=206, iter=76370/80000, loss=0.1353, lr=0.000618, batch_cost=1.3516, reader_cost=0.0053 | ETA 01:21:46 2020-12-16 11:24:26 [INFO] [TRAIN] epoch=206, iter=76380/80000, loss=0.1226, lr=0.000617, batch_cost=1.3738, reader_cost=0.0017 | ETA 01:22:53 2020-12-16 11:24:40 [INFO] [TRAIN] epoch=206, iter=76390/80000, loss=0.1406, lr=0.000615, batch_cost=1.4127, reader_cost=0.0012 | ETA 01:24:59 2020-12-16 11:24:54 [INFO] [TRAIN] epoch=206, iter=76400/80000, loss=0.1186, lr=0.000614, batch_cost=1.3443, reader_cost=0.0023 | ETA 01:20:39 2020-12-16 11:25:08 [INFO] [TRAIN] epoch=206, iter=76410/80000, loss=0.1300, lr=0.000612, batch_cost=1.3912, reader_cost=0.0002 | ETA 01:23:14 2020-12-16 11:25:23 [INFO] [TRAIN] epoch=206, iter=76420/80000, loss=0.1492, lr=0.000611, batch_cost=1.5192, reader_cost=0.0002 | ETA 01:30:38 2020-12-16 11:25:39 [INFO] [TRAIN] epoch=206, iter=76430/80000, loss=0.1396, lr=0.000609, batch_cost=1.5872, reader_cost=0.0050 | ETA 01:34:26 2020-12-16 11:25:53 [INFO] [TRAIN] epoch=206, iter=76440/80000, loss=0.1432, lr=0.000608, batch_cost=1.4567, reader_cost=0.0026 | ETA 01:26:25 2020-12-16 11:26:09 [INFO] [TRAIN] epoch=206, iter=76450/80000, loss=0.1232, lr=0.000606, batch_cost=1.5720, reader_cost=0.0011 | ETA 01:33:00 2020-12-16 11:26:23 [INFO] [TRAIN] epoch=206, iter=76460/80000, loss=0.1155, lr=0.000605, batch_cost=1.3991, reader_cost=0.0002 | ETA 01:22:32 2020-12-16 11:26:37 [INFO] [TRAIN] epoch=206, iter=76470/80000, loss=0.1112, lr=0.000603, batch_cost=1.3804, reader_cost=0.0020 | ETA 01:21:12 2020-12-16 11:26:52 [INFO] [TRAIN] epoch=206, iter=76480/80000, loss=0.0977, lr=0.000601, batch_cost=1.5265, reader_cost=0.0063 | ETA 01:29:33 2020-12-16 11:27:06 [INFO] [TRAIN] epoch=206, iter=76490/80000, loss=0.1300, lr=0.000600, batch_cost=1.4000, reader_cost=0.0011 | ETA 01:21:53 2020-12-16 11:27:20 [INFO] [TRAIN] epoch=206, iter=76500/80000, loss=0.0907, lr=0.000598, batch_cost=1.3706, reader_cost=0.0043 | ETA 01:19:57 2020-12-16 11:27:34 [INFO] [TRAIN] epoch=206, iter=76510/80000, loss=0.0833, lr=0.000597, batch_cost=1.3865, reader_cost=0.0002 | ETA 01:20:38 2020-12-16 11:27:48 [INFO] [TRAIN] epoch=206, iter=76520/80000, loss=0.1163, lr=0.000595, batch_cost=1.4052, reader_cost=0.0016 | ETA 01:21:29 2020-12-16 11:27:56 [INFO] [TRAIN] epoch=206, iter=76530/80000, loss=0.1205, lr=0.000594, batch_cost=0.8441, reader_cost=0.0001 | ETA 00:48:49 2020-12-16 11:28:05 [INFO] [TRAIN] epoch=206, iter=76540/80000, loss=0.1803, lr=0.000592, batch_cost=0.8523, reader_cost=0.0001 | ETA 00:49:09 2020-12-16 11:28:13 [INFO] [TRAIN] epoch=206, iter=76550/80000, loss=0.1407, lr=0.000591, batch_cost=0.8722, reader_cost=0.0006 | ETA 00:50:09 2020-12-16 11:28:26 [INFO] [TRAIN] epoch=206, iter=76560/80000, loss=0.1305, lr=0.000589, batch_cost=1.2758, reader_cost=0.0030 | ETA 01:13:08 2020-12-16 11:28:39 [INFO] [TRAIN] epoch=206, iter=76570/80000, loss=0.1308, lr=0.000588, batch_cost=1.2566, reader_cost=0.0001 | ETA 01:11:50 2020-12-16 11:28:51 [INFO] [TRAIN] epoch=206, iter=76580/80000, loss=0.1233, lr=0.000586, batch_cost=1.2822, reader_cost=0.0018 | ETA 01:13:05 2020-12-16 11:29:03 [INFO] [TRAIN] epoch=206, iter=76590/80000, loss=0.1232, lr=0.000585, batch_cost=1.2021, reader_cost=0.0001 | ETA 01:08:19 2020-12-16 11:29:16 [INFO] [TRAIN] epoch=206, iter=76600/80000, loss=0.1242, lr=0.000583, batch_cost=1.2826, reader_cost=0.0028 | ETA 01:12:40 2020-12-16 11:29:29 [INFO] [TRAIN] epoch=206, iter=76610/80000, loss=0.1249, lr=0.000581, batch_cost=1.2439, reader_cost=0.0002 | ETA 01:10:16 2020-12-16 11:29:41 [INFO] [TRAIN] epoch=206, iter=76620/80000, loss=0.1391, lr=0.000580, batch_cost=1.2285, reader_cost=0.0005 | ETA 01:09:12 2020-12-16 11:29:52 [INFO] [TRAIN] epoch=206, iter=76630/80000, loss=0.1264, lr=0.000578, batch_cost=1.1046, reader_cost=0.0024 | ETA 01:02:02 2020-12-16 11:30:05 [INFO] [TRAIN] epoch=207, iter=76640/80000, loss=0.1296, lr=0.000577, batch_cost=1.3104, reader_cost=0.0596 | ETA 01:13:23 2020-12-16 11:30:18 [INFO] [TRAIN] epoch=207, iter=76650/80000, loss=0.1320, lr=0.000575, batch_cost=1.2433, reader_cost=0.0014 | ETA 01:09:25 2020-12-16 11:30:30 [INFO] [TRAIN] epoch=207, iter=76660/80000, loss=0.1395, lr=0.000574, batch_cost=1.2534, reader_cost=0.0030 | ETA 01:09:46 2020-12-16 11:30:42 [INFO] [TRAIN] epoch=207, iter=76670/80000, loss=0.1146, lr=0.000572, batch_cost=1.2085, reader_cost=0.0005 | ETA 01:07:04 2020-12-16 11:30:55 [INFO] [TRAIN] epoch=207, iter=76680/80000, loss=0.1197, lr=0.000571, batch_cost=1.2441, reader_cost=0.0039 | ETA 01:08:50 2020-12-16 11:31:06 [INFO] [TRAIN] epoch=207, iter=76690/80000, loss=0.1137, lr=0.000569, batch_cost=1.1082, reader_cost=0.0006 | ETA 01:01:08 2020-12-16 11:31:18 [INFO] [TRAIN] epoch=207, iter=76700/80000, loss=0.1339, lr=0.000568, batch_cost=1.2373, reader_cost=0.0008 | ETA 01:08:03 2020-12-16 11:31:31 [INFO] [TRAIN] epoch=207, iter=76710/80000, loss=0.1385, lr=0.000566, batch_cost=1.3156, reader_cost=0.0035 | ETA 01:12:08 2020-12-16 11:31:45 [INFO] [TRAIN] epoch=207, iter=76720/80000, loss=0.1323, lr=0.000564, batch_cost=1.3858, reader_cost=0.0005 | ETA 01:15:45 2020-12-16 11:31:57 [INFO] [TRAIN] epoch=207, iter=76730/80000, loss=0.1501, lr=0.000563, batch_cost=1.1892, reader_cost=0.0035 | ETA 01:04:48 2020-12-16 11:32:09 [INFO] [TRAIN] epoch=207, iter=76740/80000, loss=0.1733, lr=0.000561, batch_cost=1.2452, reader_cost=0.0001 | ETA 01:07:39 2020-12-16 11:32:22 [INFO] [TRAIN] epoch=207, iter=76750/80000, loss=0.1444, lr=0.000560, batch_cost=1.2616, reader_cost=0.0015 | ETA 01:08:20 2020-12-16 11:32:31 [INFO] [TRAIN] epoch=207, iter=76760/80000, loss=0.1343, lr=0.000558, batch_cost=0.8841, reader_cost=0.0014 | ETA 00:47:44 2020-12-16 11:32:39 [INFO] [TRAIN] epoch=207, iter=76770/80000, loss=0.1030, lr=0.000557, batch_cost=0.8100, reader_cost=0.0001 | ETA 00:43:36 2020-12-16 11:32:48 [INFO] [TRAIN] epoch=207, iter=76780/80000, loss=0.1331, lr=0.000555, batch_cost=0.8610, reader_cost=0.0005 | ETA 00:46:12 2020-12-16 11:33:00 [INFO] [TRAIN] epoch=207, iter=76790/80000, loss=0.1500, lr=0.000554, batch_cost=1.2505, reader_cost=0.0030 | ETA 01:06:54 2020-12-16 11:33:11 [INFO] [TRAIN] epoch=207, iter=76800/80000, loss=0.1452, lr=0.000552, batch_cost=1.1296, reader_cost=0.0001 | ETA 01:00:14 2020-12-16 11:33:23 [INFO] [TRAIN] epoch=207, iter=76810/80000, loss=0.1679, lr=0.000550, batch_cost=1.1452, reader_cost=0.0015 | ETA 01:00:53 2020-12-16 11:33:35 [INFO] [TRAIN] epoch=207, iter=76820/80000, loss=0.1379, lr=0.000549, batch_cost=1.2274, reader_cost=0.0036 | ETA 01:05:03 2020-12-16 11:33:48 [INFO] [TRAIN] epoch=207, iter=76830/80000, loss=0.1501, lr=0.000547, batch_cost=1.3235, reader_cost=0.0022 | ETA 01:09:55 2020-12-16 11:34:01 [INFO] [TRAIN] epoch=207, iter=76840/80000, loss=0.1247, lr=0.000546, batch_cost=1.2423, reader_cost=0.0001 | ETA 01:05:25 2020-12-16 11:34:13 [INFO] [TRAIN] epoch=207, iter=76850/80000, loss=0.1049, lr=0.000544, batch_cost=1.2540, reader_cost=0.0001 | ETA 01:05:50 2020-12-16 11:34:26 [INFO] [TRAIN] epoch=207, iter=76860/80000, loss=0.1198, lr=0.000543, batch_cost=1.3124, reader_cost=0.0034 | ETA 01:08:40 2020-12-16 11:34:38 [INFO] [TRAIN] epoch=207, iter=76870/80000, loss=0.1143, lr=0.000541, batch_cost=1.1859, reader_cost=0.0050 | ETA 01:01:51 2020-12-16 11:34:52 [INFO] [TRAIN] epoch=207, iter=76880/80000, loss=0.1147, lr=0.000540, batch_cost=1.3344, reader_cost=0.0023 | ETA 01:09:23 2020-12-16 11:35:03 [INFO] [TRAIN] epoch=207, iter=76890/80000, loss=0.1288, lr=0.000538, batch_cost=1.1509, reader_cost=0.0001 | ETA 00:59:39 2020-12-16 11:35:17 [INFO] [TRAIN] epoch=207, iter=76900/80000, loss=0.1179, lr=0.000537, batch_cost=1.3510, reader_cost=0.0001 | ETA 01:09:48 2020-12-16 11:35:25 [INFO] [TRAIN] epoch=207, iter=76910/80000, loss=0.1291, lr=0.000535, batch_cost=0.8593, reader_cost=0.0009 | ETA 00:44:15 2020-12-16 11:35:33 [INFO] [TRAIN] epoch=207, iter=76920/80000, loss=0.0991, lr=0.000533, batch_cost=0.8053, reader_cost=0.0001 | ETA 00:41:20 2020-12-16 11:35:41 [INFO] [TRAIN] epoch=207, iter=76930/80000, loss=0.1176, lr=0.000532, batch_cost=0.8089, reader_cost=0.0001 | ETA 00:41:23 2020-12-16 11:35:50 [INFO] [TRAIN] epoch=207, iter=76940/80000, loss=0.1326, lr=0.000530, batch_cost=0.8126, reader_cost=0.0001 | ETA 00:41:26 2020-12-16 11:35:58 [INFO] [TRAIN] epoch=207, iter=76950/80000, loss=0.1511, lr=0.000529, batch_cost=0.8631, reader_cost=0.0001 | ETA 00:43:52 2020-12-16 11:36:11 [INFO] [TRAIN] epoch=207, iter=76960/80000, loss=0.1166, lr=0.000527, batch_cost=1.2879, reader_cost=0.0014 | ETA 01:05:15 2020-12-16 11:36:24 [INFO] [TRAIN] epoch=207, iter=76970/80000, loss=0.1333, lr=0.000526, batch_cost=1.2699, reader_cost=0.0001 | ETA 01:04:07 2020-12-16 11:36:36 [INFO] [TRAIN] epoch=207, iter=76980/80000, loss=0.1219, lr=0.000524, batch_cost=1.2657, reader_cost=0.0017 | ETA 01:03:42 2020-12-16 11:36:49 [INFO] [TRAIN] epoch=207, iter=76990/80000, loss=0.1335, lr=0.000522, batch_cost=1.2498, reader_cost=0.0001 | ETA 01:02:41 2020-12-16 11:37:01 [INFO] [TRAIN] epoch=207, iter=77000/80000, loss=0.1120, lr=0.000521, batch_cost=1.1816, reader_cost=0.0020 | ETA 00:59:04 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 11:37:01 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 11:37:51 [INFO] [EVAL] #Images=500 mIoU=0.8000 Acc=0.9627 Kappa=0.9517 2020-12-16 11:37:51 [INFO] [EVAL] Class IoU: [0.9829 0.8607 0.9292 0.5996 0.629 0.6227 0.7177 0.7894 0.9256 0.6695 0.9498 0.8237 0.6626 0.9531 0.8477 0.9241 0.8486 0.6844 0.7804] 2020-12-16 11:37:51 [INFO] [EVAL] Class Acc: [0.994 0.9167 0.9597 0.846 0.8214 0.7865 0.8291 0.9092 0.9549 0.8307 0.9705 0.8919 0.7953 0.9738 0.9195 0.9736 0.953 0.8451 0.857 ] 2020-12-16 11:37:57 [INFO] [EVAL] The model with the best validation mIoU (0.8003) was saved at iter 76000. 2020-12-16 11:38:09 [INFO] [TRAIN] epoch=208, iter=77010/80000, loss=0.1256, lr=0.000519, batch_cost=1.1730, reader_cost=0.0620 | ETA 00:58:27 2020-12-16 11:38:23 [INFO] [TRAIN] epoch=208, iter=77020/80000, loss=0.1369, lr=0.000518, batch_cost=1.3507, reader_cost=0.0005 | ETA 01:07:05 2020-12-16 11:38:35 [INFO] [TRAIN] epoch=208, iter=77030/80000, loss=0.1213, lr=0.000516, batch_cost=1.2345, reader_cost=0.0004 | ETA 01:01:06 2020-12-16 11:38:47 [INFO] [TRAIN] epoch=208, iter=77040/80000, loss=0.1239, lr=0.000515, batch_cost=1.2200, reader_cost=0.0005 | ETA 01:00:11 2020-12-16 11:38:59 [INFO] [TRAIN] epoch=208, iter=77050/80000, loss=0.1231, lr=0.000513, batch_cost=1.1971, reader_cost=0.0017 | ETA 00:58:51 2020-12-16 11:39:12 [INFO] [TRAIN] epoch=208, iter=77060/80000, loss=0.1580, lr=0.000512, batch_cost=1.3176, reader_cost=0.0005 | ETA 01:04:33 2020-12-16 11:39:26 [INFO] [TRAIN] epoch=208, iter=77070/80000, loss=0.1167, lr=0.000510, batch_cost=1.3404, reader_cost=0.0009 | ETA 01:05:27 2020-12-16 11:39:39 [INFO] [TRAIN] epoch=208, iter=77080/80000, loss=0.1160, lr=0.000508, batch_cost=1.3030, reader_cost=0.0006 | ETA 01:03:24 2020-12-16 11:39:52 [INFO] [TRAIN] epoch=208, iter=77090/80000, loss=0.1477, lr=0.000507, batch_cost=1.3146, reader_cost=0.0001 | ETA 01:03:45 2020-12-16 11:40:04 [INFO] [TRAIN] epoch=208, iter=77100/80000, loss=0.0999, lr=0.000505, batch_cost=1.2475, reader_cost=0.0001 | ETA 01:00:17 2020-12-16 11:40:17 [INFO] [TRAIN] epoch=208, iter=77110/80000, loss=0.1453, lr=0.000504, batch_cost=1.2811, reader_cost=0.0013 | ETA 01:01:42 2020-12-16 11:40:29 [INFO] [TRAIN] epoch=208, iter=77120/80000, loss=0.1137, lr=0.000502, batch_cost=1.2069, reader_cost=0.0039 | ETA 00:57:55 2020-12-16 11:40:42 [INFO] [TRAIN] epoch=208, iter=77130/80000, loss=0.1801, lr=0.000501, batch_cost=1.3089, reader_cost=0.0032 | ETA 01:02:36 2020-12-16 11:40:56 [INFO] [TRAIN] epoch=208, iter=77140/80000, loss=0.1216, lr=0.000499, batch_cost=1.3576, reader_cost=0.0001 | ETA 01:04:42 2020-12-16 11:41:09 [INFO] [TRAIN] epoch=208, iter=77150/80000, loss=0.1033, lr=0.000497, batch_cost=1.3213, reader_cost=0.0008 | ETA 01:02:45 2020-12-16 11:41:22 [INFO] [TRAIN] epoch=208, iter=77160/80000, loss=0.0949, lr=0.000496, batch_cost=1.2587, reader_cost=0.0009 | ETA 00:59:34 2020-12-16 11:41:35 [INFO] [TRAIN] epoch=208, iter=77170/80000, loss=0.1179, lr=0.000494, batch_cost=1.2942, reader_cost=0.0028 | ETA 01:01:02 2020-12-16 11:41:47 [INFO] [TRAIN] epoch=208, iter=77180/80000, loss=0.1105, lr=0.000493, batch_cost=1.1975, reader_cost=0.0025 | ETA 00:56:16 2020-12-16 11:41:59 [INFO] [TRAIN] epoch=208, iter=77190/80000, loss=0.1015, lr=0.000491, batch_cost=1.2623, reader_cost=0.0001 | ETA 00:59:07 2020-12-16 11:42:10 [INFO] [TRAIN] epoch=208, iter=77200/80000, loss=0.1300, lr=0.000490, batch_cost=1.0673, reader_cost=0.0001 | ETA 00:49:48 2020-12-16 11:42:18 [INFO] [TRAIN] epoch=208, iter=77210/80000, loss=0.1739, lr=0.000488, batch_cost=0.8136, reader_cost=0.0001 | ETA 00:37:49 2020-12-16 11:42:26 [INFO] [TRAIN] epoch=208, iter=77220/80000, loss=0.1152, lr=0.000486, batch_cost=0.8278, reader_cost=0.0001 | ETA 00:38:21 2020-12-16 11:42:35 [INFO] [TRAIN] epoch=208, iter=77230/80000, loss=0.1144, lr=0.000485, batch_cost=0.8642, reader_cost=0.0001 | ETA 00:39:53 2020-12-16 11:42:47 [INFO] [TRAIN] epoch=208, iter=77240/80000, loss=0.1661, lr=0.000483, batch_cost=1.2213, reader_cost=0.0002 | ETA 00:56:10 2020-12-16 11:43:00 [INFO] [TRAIN] epoch=208, iter=77250/80000, loss=0.1095, lr=0.000482, batch_cost=1.2645, reader_cost=0.0002 | ETA 00:57:57 2020-12-16 11:43:13 [INFO] [TRAIN] epoch=208, iter=77260/80000, loss=0.1205, lr=0.000480, batch_cost=1.2689, reader_cost=0.0020 | ETA 00:57:56 2020-12-16 11:43:25 [INFO] [TRAIN] epoch=208, iter=77270/80000, loss=0.1203, lr=0.000479, batch_cost=1.2053, reader_cost=0.0001 | ETA 00:54:50 2020-12-16 11:43:37 [INFO] [TRAIN] epoch=208, iter=77280/80000, loss=0.1152, lr=0.000477, batch_cost=1.2785, reader_cost=0.0001 | ETA 00:57:57 2020-12-16 11:43:50 [INFO] [TRAIN] epoch=208, iter=77290/80000, loss=0.1366, lr=0.000475, batch_cost=1.2259, reader_cost=0.0056 | ETA 00:55:22 2020-12-16 11:44:01 [INFO] [TRAIN] epoch=208, iter=77300/80000, loss=0.1711, lr=0.000474, batch_cost=1.1605, reader_cost=0.0001 | ETA 00:52:13 2020-12-16 11:44:14 [INFO] [TRAIN] epoch=208, iter=77310/80000, loss=0.1365, lr=0.000472, batch_cost=1.2630, reader_cost=0.0012 | ETA 00:56:37 2020-12-16 11:44:28 [INFO] [TRAIN] epoch=208, iter=77320/80000, loss=0.1961, lr=0.000471, batch_cost=1.3616, reader_cost=0.0001 | ETA 01:00:49 2020-12-16 11:44:41 [INFO] [TRAIN] epoch=208, iter=77330/80000, loss=0.1228, lr=0.000469, batch_cost=1.3545, reader_cost=0.0019 | ETA 01:00:16 2020-12-16 11:44:54 [INFO] [TRAIN] epoch=208, iter=77340/80000, loss=0.1344, lr=0.000467, batch_cost=1.2506, reader_cost=0.0001 | ETA 00:55:26 2020-12-16 11:45:06 [INFO] [TRAIN] epoch=208, iter=77350/80000, loss=0.1056, lr=0.000466, batch_cost=1.1960, reader_cost=0.0030 | ETA 00:52:49 2020-12-16 11:45:18 [INFO] [TRAIN] epoch=208, iter=77360/80000, loss=0.1564, lr=0.000464, batch_cost=1.2040, reader_cost=0.0011 | ETA 00:52:58 2020-12-16 11:45:29 [INFO] [TRAIN] epoch=208, iter=77370/80000, loss=0.1095, lr=0.000463, batch_cost=1.1398, reader_cost=0.0001 | ETA 00:49:57 2020-12-16 11:45:42 [INFO] [TRAIN] epoch=209, iter=77380/80000, loss=0.1679, lr=0.000461, batch_cost=1.2574, reader_cost=0.0470 | ETA 00:54:54 2020-12-16 11:45:54 [INFO] [TRAIN] epoch=209, iter=77390/80000, loss=0.1140, lr=0.000460, batch_cost=1.2888, reader_cost=0.0035 | ETA 00:56:03 2020-12-16 11:46:07 [INFO] [TRAIN] epoch=209, iter=77400/80000, loss=0.1505, lr=0.000458, batch_cost=1.2616, reader_cost=0.0031 | ETA 00:54:40 2020-12-16 11:46:20 [INFO] [TRAIN] epoch=209, iter=77410/80000, loss=0.1618, lr=0.000456, batch_cost=1.2718, reader_cost=0.0002 | ETA 00:54:53 2020-12-16 11:46:33 [INFO] [TRAIN] epoch=209, iter=77420/80000, loss=0.1245, lr=0.000455, batch_cost=1.3205, reader_cost=0.0007 | ETA 00:56:46 2020-12-16 11:46:45 [INFO] [TRAIN] epoch=209, iter=77430/80000, loss=0.1448, lr=0.000453, batch_cost=1.2374, reader_cost=0.0023 | ETA 00:53:00 2020-12-16 11:46:54 [INFO] [TRAIN] epoch=209, iter=77440/80000, loss=0.1056, lr=0.000452, batch_cost=0.8137, reader_cost=0.0001 | ETA 00:34:43 2020-12-16 11:47:02 [INFO] [TRAIN] epoch=209, iter=77450/80000, loss=0.1308, lr=0.000450, batch_cost=0.8301, reader_cost=0.0013 | ETA 00:35:16 2020-12-16 11:47:10 [INFO] [TRAIN] epoch=209, iter=77460/80000, loss=0.1054, lr=0.000448, batch_cost=0.8128, reader_cost=0.0001 | ETA 00:34:24 2020-12-16 11:47:20 [INFO] [TRAIN] epoch=209, iter=77470/80000, loss=0.1414, lr=0.000447, batch_cost=1.0399, reader_cost=0.0010 | ETA 00:43:50 2020-12-16 11:47:32 [INFO] [TRAIN] epoch=209, iter=77480/80000, loss=0.1307, lr=0.000445, batch_cost=1.1942, reader_cost=0.0022 | ETA 00:50:09 2020-12-16 11:47:45 [INFO] [TRAIN] epoch=209, iter=77490/80000, loss=0.1229, lr=0.000444, batch_cost=1.2682, reader_cost=0.0028 | ETA 00:53:03 2020-12-16 11:47:56 [INFO] [TRAIN] epoch=209, iter=77500/80000, loss=0.1504, lr=0.000442, batch_cost=1.1170, reader_cost=0.0002 | ETA 00:46:32 2020-12-16 11:48:09 [INFO] [TRAIN] epoch=209, iter=77510/80000, loss=0.1490, lr=0.000441, batch_cost=1.2712, reader_cost=0.0005 | ETA 00:52:45 2020-12-16 11:48:21 [INFO] [TRAIN] epoch=209, iter=77520/80000, loss=0.1517, lr=0.000439, batch_cost=1.1906, reader_cost=0.0038 | ETA 00:49:12 2020-12-16 11:48:33 [INFO] [TRAIN] epoch=209, iter=77530/80000, loss=0.1518, lr=0.000437, batch_cost=1.2171, reader_cost=0.0002 | ETA 00:50:06 2020-12-16 11:48:45 [INFO] [TRAIN] epoch=209, iter=77540/80000, loss=0.1786, lr=0.000436, batch_cost=1.1649, reader_cost=0.0010 | ETA 00:47:45 2020-12-16 11:48:56 [INFO] [TRAIN] epoch=209, iter=77550/80000, loss=0.1020, lr=0.000434, batch_cost=1.1688, reader_cost=0.0027 | ETA 00:47:43 2020-12-16 11:49:08 [INFO] [TRAIN] epoch=209, iter=77560/80000, loss=0.1283, lr=0.000433, batch_cost=1.1635, reader_cost=0.0001 | ETA 00:47:18 2020-12-16 11:49:21 [INFO] [TRAIN] epoch=209, iter=77570/80000, loss=0.1232, lr=0.000431, batch_cost=1.2743, reader_cost=0.0001 | ETA 00:51:36 2020-12-16 11:49:31 [INFO] [TRAIN] epoch=209, iter=77580/80000, loss=0.1434, lr=0.000429, batch_cost=1.0624, reader_cost=0.0013 | ETA 00:42:51 2020-12-16 11:49:43 [INFO] [TRAIN] epoch=209, iter=77590/80000, loss=0.1259, lr=0.000428, batch_cost=1.1901, reader_cost=0.0008 | ETA 00:47:48 2020-12-16 11:49:55 [INFO] [TRAIN] epoch=209, iter=77600/80000, loss=0.1078, lr=0.000426, batch_cost=1.2114, reader_cost=0.0001 | ETA 00:48:27 2020-12-16 11:50:08 [INFO] [TRAIN] epoch=209, iter=77610/80000, loss=0.1361, lr=0.000425, batch_cost=1.2686, reader_cost=0.0004 | ETA 00:50:31 2020-12-16 11:50:21 [INFO] [TRAIN] epoch=209, iter=77620/80000, loss=0.1321, lr=0.000423, batch_cost=1.3028, reader_cost=0.0001 | ETA 00:51:40 2020-12-16 11:50:34 [INFO] [TRAIN] epoch=209, iter=77630/80000, loss=0.1332, lr=0.000421, batch_cost=1.2514, reader_cost=0.0002 | ETA 00:49:25 2020-12-16 11:50:47 [INFO] [TRAIN] epoch=209, iter=77640/80000, loss=0.1179, lr=0.000420, batch_cost=1.3026, reader_cost=0.0020 | ETA 00:51:14 2020-12-16 11:51:00 [INFO] [TRAIN] epoch=209, iter=77650/80000, loss=0.1061, lr=0.000418, batch_cost=1.3426, reader_cost=0.0014 | ETA 00:52:35 2020-12-16 11:51:13 [INFO] [TRAIN] epoch=209, iter=77660/80000, loss=0.0883, lr=0.000417, batch_cost=1.3398, reader_cost=0.0011 | ETA 00:52:15 2020-12-16 11:51:24 [INFO] [TRAIN] epoch=209, iter=77670/80000, loss=0.1135, lr=0.000415, batch_cost=1.0757, reader_cost=0.0018 | ETA 00:41:46 2020-12-16 11:51:32 [INFO] [TRAIN] epoch=209, iter=77680/80000, loss=0.1313, lr=0.000413, batch_cost=0.8275, reader_cost=0.0001 | ETA 00:31:59 2020-12-16 11:51:40 [INFO] [TRAIN] epoch=209, iter=77690/80000, loss=0.1079, lr=0.000412, batch_cost=0.8032, reader_cost=0.0001 | ETA 00:30:55 2020-12-16 11:51:49 [INFO] [TRAIN] epoch=209, iter=77700/80000, loss=0.1328, lr=0.000410, batch_cost=0.8327, reader_cost=0.0001 | ETA 00:31:55 2020-12-16 11:51:59 [INFO] [TRAIN] epoch=209, iter=77710/80000, loss=0.1344, lr=0.000409, batch_cost=1.0292, reader_cost=0.0002 | ETA 00:39:16 2020-12-16 11:52:10 [INFO] [TRAIN] epoch=209, iter=77720/80000, loss=0.1267, lr=0.000407, batch_cost=1.0939, reader_cost=0.0001 | ETA 00:41:34 2020-12-16 11:52:23 [INFO] [TRAIN] epoch=209, iter=77730/80000, loss=0.1299, lr=0.000405, batch_cost=1.2884, reader_cost=0.0005 | ETA 00:48:44 2020-12-16 11:52:35 [INFO] [TRAIN] epoch=209, iter=77740/80000, loss=0.1354, lr=0.000404, batch_cost=1.2014, reader_cost=0.0010 | ETA 00:45:15 2020-12-16 11:52:46 [INFO] [TRAIN] epoch=210, iter=77750/80000, loss=0.1204, lr=0.000402, batch_cost=1.0714, reader_cost=0.0634 | ETA 00:40:10 2020-12-16 11:52:58 [INFO] [TRAIN] epoch=210, iter=77760/80000, loss=0.0983, lr=0.000401, batch_cost=1.2787, reader_cost=0.0012 | ETA 00:47:44 2020-12-16 11:53:10 [INFO] [TRAIN] epoch=210, iter=77770/80000, loss=0.1310, lr=0.000399, batch_cost=1.1920, reader_cost=0.0024 | ETA 00:44:18 2020-12-16 11:53:23 [INFO] [TRAIN] epoch=210, iter=77780/80000, loss=0.1249, lr=0.000397, batch_cost=1.3139, reader_cost=0.0007 | ETA 00:48:36 2020-12-16 11:53:36 [INFO] [TRAIN] epoch=210, iter=77790/80000, loss=0.1373, lr=0.000396, batch_cost=1.2642, reader_cost=0.0031 | ETA 00:46:33 2020-12-16 11:53:49 [INFO] [TRAIN] epoch=210, iter=77800/80000, loss=0.1370, lr=0.000394, batch_cost=1.3202, reader_cost=0.0002 | ETA 00:48:24 2020-12-16 11:54:01 [INFO] [TRAIN] epoch=210, iter=77810/80000, loss=0.1631, lr=0.000392, batch_cost=1.1783, reader_cost=0.0001 | ETA 00:43:00 2020-12-16 11:54:13 [INFO] [TRAIN] epoch=210, iter=77820/80000, loss=0.1367, lr=0.000391, batch_cost=1.1834, reader_cost=0.0001 | ETA 00:42:59 2020-12-16 11:54:26 [INFO] [TRAIN] epoch=210, iter=77830/80000, loss=0.1257, lr=0.000389, batch_cost=1.2583, reader_cost=0.0047 | ETA 00:45:30 2020-12-16 11:54:38 [INFO] [TRAIN] epoch=210, iter=77840/80000, loss=0.1430, lr=0.000388, batch_cost=1.2133, reader_cost=0.0001 | ETA 00:43:40 2020-12-16 11:54:50 [INFO] [TRAIN] epoch=210, iter=77850/80000, loss=0.1219, lr=0.000386, batch_cost=1.2436, reader_cost=0.0001 | ETA 00:44:33 2020-12-16 11:55:03 [INFO] [TRAIN] epoch=210, iter=77860/80000, loss=0.1534, lr=0.000384, batch_cost=1.2754, reader_cost=0.0001 | ETA 00:45:29 2020-12-16 11:55:15 [INFO] [TRAIN] epoch=210, iter=77870/80000, loss=0.1151, lr=0.000383, batch_cost=1.2197, reader_cost=0.0030 | ETA 00:43:18 2020-12-16 11:55:28 [INFO] [TRAIN] epoch=210, iter=77880/80000, loss=0.1048, lr=0.000381, batch_cost=1.3024, reader_cost=0.0028 | ETA 00:46:01 2020-12-16 11:55:40 [INFO] [TRAIN] epoch=210, iter=77890/80000, loss=0.1067, lr=0.000380, batch_cost=1.1746, reader_cost=0.0001 | ETA 00:41:18 2020-12-16 11:55:52 [INFO] [TRAIN] epoch=210, iter=77900/80000, loss=0.1544, lr=0.000378, batch_cost=1.2129, reader_cost=0.0011 | ETA 00:42:27 2020-12-16 11:56:03 [INFO] [TRAIN] epoch=210, iter=77910/80000, loss=0.1400, lr=0.000376, batch_cost=1.1394, reader_cost=0.0001 | ETA 00:39:41 2020-12-16 11:56:12 [INFO] [TRAIN] epoch=210, iter=77920/80000, loss=0.1269, lr=0.000375, batch_cost=0.8150, reader_cost=0.0001 | ETA 00:28:15 2020-12-16 11:56:20 [INFO] [TRAIN] epoch=210, iter=77930/80000, loss=0.1169, lr=0.000373, batch_cost=0.8295, reader_cost=0.0001 | ETA 00:28:37 2020-12-16 11:56:28 [INFO] [TRAIN] epoch=210, iter=77940/80000, loss=0.1352, lr=0.000371, batch_cost=0.8182, reader_cost=0.0001 | ETA 00:28:05 2020-12-16 11:56:38 [INFO] [TRAIN] epoch=210, iter=77950/80000, loss=0.1462, lr=0.000370, batch_cost=1.0086, reader_cost=0.0006 | ETA 00:34:27 2020-12-16 11:56:50 [INFO] [TRAIN] epoch=210, iter=77960/80000, loss=0.1271, lr=0.000368, batch_cost=1.1528, reader_cost=0.0001 | ETA 00:39:11 2020-12-16 11:57:02 [INFO] [TRAIN] epoch=210, iter=77970/80000, loss=0.1293, lr=0.000367, batch_cost=1.2284, reader_cost=0.0001 | ETA 00:41:33 2020-12-16 11:57:14 [INFO] [TRAIN] epoch=210, iter=77980/80000, loss=0.2208, lr=0.000365, batch_cost=1.2202, reader_cost=0.0001 | ETA 00:41:04 2020-12-16 11:57:27 [INFO] [TRAIN] epoch=210, iter=77990/80000, loss=0.1278, lr=0.000363, batch_cost=1.2647, reader_cost=0.0014 | ETA 00:42:21 2020-12-16 11:57:38 [INFO] [TRAIN] epoch=210, iter=78000/80000, loss=0.1167, lr=0.000362, batch_cost=1.1718, reader_cost=0.0005 | ETA 00:39:03 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 11:57:39 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 11:58:29 [INFO] [EVAL] #Images=500 mIoU=0.8010 Acc=0.9632 Kappa=0.9523 2020-12-16 11:58:29 [INFO] [EVAL] Class IoU: [0.9836 0.8639 0.9296 0.6003 0.643 0.6222 0.717 0.7884 0.9262 0.6613 0.9501 0.8242 0.6614 0.9536 0.8567 0.9224 0.8544 0.6811 0.7799] 2020-12-16 11:58:29 [INFO] [EVAL] Class Acc: [0.9937 0.9213 0.9588 0.8524 0.8374 0.7875 0.8334 0.9084 0.9556 0.8431 0.9725 0.8883 0.7822 0.9739 0.9328 0.9675 0.9618 0.8423 0.8603] 2020-12-16 11:58:41 [INFO] [EVAL] The model with the best validation mIoU (0.8010) was saved at iter 78000. 2020-12-16 11:58:53 [INFO] [TRAIN] epoch=210, iter=78010/80000, loss=0.1197, lr=0.000360, batch_cost=1.2548, reader_cost=0.0001 | ETA 00:41:37 2020-12-16 11:59:06 [INFO] [TRAIN] epoch=210, iter=78020/80000, loss=0.1200, lr=0.000358, batch_cost=1.2568, reader_cost=0.0059 | ETA 00:41:28 2020-12-16 11:59:18 [INFO] [TRAIN] epoch=210, iter=78030/80000, loss=0.1119, lr=0.000357, batch_cost=1.2639, reader_cost=0.0014 | ETA 00:41:29 2020-12-16 11:59:30 [INFO] [TRAIN] epoch=210, iter=78040/80000, loss=0.1201, lr=0.000355, batch_cost=1.1218, reader_cost=0.0001 | ETA 00:36:38 2020-12-16 11:59:42 [INFO] [TRAIN] epoch=210, iter=78050/80000, loss=0.1302, lr=0.000354, batch_cost=1.1913, reader_cost=0.0001 | ETA 00:38:43 2020-12-16 11:59:54 [INFO] [TRAIN] epoch=210, iter=78060/80000, loss=0.1050, lr=0.000352, batch_cost=1.2381, reader_cost=0.0014 | ETA 00:40:01 2020-12-16 12:00:07 [INFO] [TRAIN] epoch=210, iter=78070/80000, loss=0.1237, lr=0.000350, batch_cost=1.2612, reader_cost=0.0008 | ETA 00:40:34 2020-12-16 12:00:19 [INFO] [TRAIN] epoch=210, iter=78080/80000, loss=0.1433, lr=0.000349, batch_cost=1.2144, reader_cost=0.0001 | ETA 00:38:51 2020-12-16 12:00:31 [INFO] [TRAIN] epoch=210, iter=78090/80000, loss=0.0896, lr=0.000347, batch_cost=1.2579, reader_cost=0.0001 | ETA 00:40:02 2020-12-16 12:00:42 [INFO] [TRAIN] epoch=210, iter=78100/80000, loss=0.1022, lr=0.000345, batch_cost=1.1061, reader_cost=0.0001 | ETA 00:35:01 2020-12-16 12:00:51 [INFO] [TRAIN] epoch=210, iter=78110/80000, loss=0.1161, lr=0.000344, batch_cost=0.8246, reader_cost=0.0001 | ETA 00:25:58 2020-12-16 12:00:58 [INFO] [TRAIN] epoch=210, iter=78120/80000, loss=0.1273, lr=0.000342, batch_cost=0.7852, reader_cost=0.0001 | ETA 00:24:36 2020-12-16 12:01:08 [INFO] [TRAIN] epoch=211, iter=78130/80000, loss=0.1184, lr=0.000340, batch_cost=0.9417, reader_cost=0.0524 | ETA 00:29:21 2020-12-16 12:01:16 [INFO] [TRAIN] epoch=211, iter=78140/80000, loss=0.1294, lr=0.000339, batch_cost=0.8105, reader_cost=0.0001 | ETA 00:25:07 2020-12-16 12:01:24 [INFO] [TRAIN] epoch=211, iter=78150/80000, loss=0.1115, lr=0.000337, batch_cost=0.8089, reader_cost=0.0001 | ETA 00:24:56 2020-12-16 12:01:33 [INFO] [TRAIN] epoch=211, iter=78160/80000, loss=0.1071, lr=0.000336, batch_cost=0.8621, reader_cost=0.0004 | ETA 00:26:26 2020-12-16 12:01:41 [INFO] [TRAIN] epoch=211, iter=78170/80000, loss=0.1153, lr=0.000334, batch_cost=0.8425, reader_cost=0.0001 | ETA 00:25:41 2020-12-16 12:01:53 [INFO] [TRAIN] epoch=211, iter=78180/80000, loss=0.1369, lr=0.000332, batch_cost=1.1816, reader_cost=0.0022 | ETA 00:35:50 2020-12-16 12:02:08 [INFO] [TRAIN] epoch=211, iter=78190/80000, loss=0.1297, lr=0.000331, batch_cost=1.5513, reader_cost=0.0015 | ETA 00:46:47 2020-12-16 12:02:23 [INFO] [TRAIN] epoch=211, iter=78200/80000, loss=0.1282, lr=0.000329, batch_cost=1.4361, reader_cost=0.0023 | ETA 00:43:05 2020-12-16 12:02:36 [INFO] [TRAIN] epoch=211, iter=78210/80000, loss=0.1342, lr=0.000327, batch_cost=1.3286, reader_cost=0.0031 | ETA 00:39:38 2020-12-16 12:02:47 [INFO] [TRAIN] epoch=211, iter=78220/80000, loss=0.1445, lr=0.000326, batch_cost=1.1088, reader_cost=0.0014 | ETA 00:32:53 2020-12-16 12:03:00 [INFO] [TRAIN] epoch=211, iter=78230/80000, loss=0.1096, lr=0.000324, batch_cost=1.2441, reader_cost=0.0017 | ETA 00:36:42 2020-12-16 12:03:12 [INFO] [TRAIN] epoch=211, iter=78240/80000, loss=0.1498, lr=0.000322, batch_cost=1.2019, reader_cost=0.0029 | ETA 00:35:15 2020-12-16 12:03:25 [INFO] [TRAIN] epoch=211, iter=78250/80000, loss=0.1817, lr=0.000321, batch_cost=1.3751, reader_cost=0.0001 | ETA 00:40:06 2020-12-16 12:03:38 [INFO] [TRAIN] epoch=211, iter=78260/80000, loss=0.1282, lr=0.000319, batch_cost=1.3040, reader_cost=0.0005 | ETA 00:37:48 2020-12-16 12:03:53 [INFO] [TRAIN] epoch=211, iter=78270/80000, loss=0.1099, lr=0.000317, batch_cost=1.4811, reader_cost=0.0017 | ETA 00:42:42 2020-12-16 12:04:07 [INFO] [TRAIN] epoch=211, iter=78280/80000, loss=0.1143, lr=0.000316, batch_cost=1.3962, reader_cost=0.0001 | ETA 00:40:01 2020-12-16 12:04:20 [INFO] [TRAIN] epoch=211, iter=78290/80000, loss=0.1206, lr=0.000314, batch_cost=1.2901, reader_cost=0.0001 | ETA 00:36:46 2020-12-16 12:04:34 [INFO] [TRAIN] epoch=211, iter=78300/80000, loss=0.1595, lr=0.000313, batch_cost=1.3678, reader_cost=0.0006 | ETA 00:38:45 2020-12-16 12:04:46 [INFO] [TRAIN] epoch=211, iter=78310/80000, loss=0.1194, lr=0.000311, batch_cost=1.1950, reader_cost=0.0001 | ETA 00:33:39 2020-12-16 12:04:58 [INFO] [TRAIN] epoch=211, iter=78320/80000, loss=0.0929, lr=0.000309, batch_cost=1.2780, reader_cost=0.0026 | ETA 00:35:47 2020-12-16 12:05:12 [INFO] [TRAIN] epoch=211, iter=78330/80000, loss=0.1171, lr=0.000308, batch_cost=1.3945, reader_cost=0.0063 | ETA 00:38:48 2020-12-16 12:05:26 [INFO] [TRAIN] epoch=211, iter=78340/80000, loss=0.1147, lr=0.000306, batch_cost=1.3414, reader_cost=0.0013 | ETA 00:37:06 2020-12-16 12:05:40 [INFO] [TRAIN] epoch=211, iter=78350/80000, loss=0.1071, lr=0.000304, batch_cost=1.4487, reader_cost=0.0023 | ETA 00:39:50 2020-12-16 12:05:53 [INFO] [TRAIN] epoch=211, iter=78360/80000, loss=0.1165, lr=0.000303, batch_cost=1.2678, reader_cost=0.0001 | ETA 00:34:39 2020-12-16 12:06:05 [INFO] [TRAIN] epoch=211, iter=78370/80000, loss=0.1332, lr=0.000301, batch_cost=1.2106, reader_cost=0.0024 | ETA 00:32:53 2020-12-16 12:06:18 [INFO] [TRAIN] epoch=211, iter=78380/80000, loss=0.1212, lr=0.000299, batch_cost=1.3247, reader_cost=0.0029 | ETA 00:35:45 2020-12-16 12:06:31 [INFO] [TRAIN] epoch=211, iter=78390/80000, loss=0.1130, lr=0.000298, batch_cost=1.2194, reader_cost=0.0002 | ETA 00:32:43 2020-12-16 12:06:39 [INFO] [TRAIN] epoch=211, iter=78400/80000, loss=0.1310, lr=0.000296, batch_cost=0.8349, reader_cost=0.0001 | ETA 00:22:15 2020-12-16 12:06:47 [INFO] [TRAIN] epoch=211, iter=78410/80000, loss=0.1165, lr=0.000294, batch_cost=0.8115, reader_cost=0.0001 | ETA 00:21:30 2020-12-16 12:06:57 [INFO] [TRAIN] epoch=211, iter=78420/80000, loss=0.1138, lr=0.000293, batch_cost=0.9833, reader_cost=0.0009 | ETA 00:25:53 2020-12-16 12:07:10 [INFO] [TRAIN] epoch=211, iter=78430/80000, loss=0.1293, lr=0.000291, batch_cost=1.3071, reader_cost=0.0033 | ETA 00:34:12 2020-12-16 12:07:22 [INFO] [TRAIN] epoch=211, iter=78440/80000, loss=0.1297, lr=0.000289, batch_cost=1.2514, reader_cost=0.0003 | ETA 00:32:32 2020-12-16 12:07:35 [INFO] [TRAIN] epoch=211, iter=78450/80000, loss=0.1203, lr=0.000288, batch_cost=1.2138, reader_cost=0.0001 | ETA 00:31:21 2020-12-16 12:07:48 [INFO] [TRAIN] epoch=211, iter=78460/80000, loss=0.1260, lr=0.000286, batch_cost=1.3466, reader_cost=0.0019 | ETA 00:34:33 2020-12-16 12:08:00 [INFO] [TRAIN] epoch=211, iter=78470/80000, loss=0.1080, lr=0.000284, batch_cost=1.1491, reader_cost=0.0013 | ETA 00:29:18 2020-12-16 12:08:13 [INFO] [TRAIN] epoch=211, iter=78480/80000, loss=0.1363, lr=0.000283, batch_cost=1.3872, reader_cost=0.0012 | ETA 00:35:08 2020-12-16 12:08:25 [INFO] [TRAIN] epoch=211, iter=78490/80000, loss=0.1946, lr=0.000281, batch_cost=1.2005, reader_cost=0.0005 | ETA 00:30:12 2020-12-16 12:08:39 [INFO] [TRAIN] epoch=212, iter=78500/80000, loss=0.1013, lr=0.000279, batch_cost=1.3589, reader_cost=0.0796 | ETA 00:33:58 2020-12-16 12:08:52 [INFO] [TRAIN] epoch=212, iter=78510/80000, loss=0.1300, lr=0.000278, batch_cost=1.2644, reader_cost=0.0001 | ETA 00:31:24 2020-12-16 12:09:04 [INFO] [TRAIN] epoch=212, iter=78520/80000, loss=0.1463, lr=0.000276, batch_cost=1.2797, reader_cost=0.0019 | ETA 00:31:33 2020-12-16 12:09:17 [INFO] [TRAIN] epoch=212, iter=78530/80000, loss=0.1053, lr=0.000274, batch_cost=1.2381, reader_cost=0.0008 | ETA 00:30:19 2020-12-16 12:09:30 [INFO] [TRAIN] epoch=212, iter=78540/80000, loss=0.1241, lr=0.000273, batch_cost=1.3123, reader_cost=0.0027 | ETA 00:31:55 2020-12-16 12:09:44 [INFO] [TRAIN] epoch=212, iter=78550/80000, loss=0.1333, lr=0.000271, batch_cost=1.3698, reader_cost=0.0017 | ETA 00:33:06 2020-12-16 12:09:57 [INFO] [TRAIN] epoch=212, iter=78560/80000, loss=0.1269, lr=0.000269, batch_cost=1.3066, reader_cost=0.0005 | ETA 00:31:21 2020-12-16 12:10:12 [INFO] [TRAIN] epoch=212, iter=78570/80000, loss=0.1418, lr=0.000267, batch_cost=1.5118, reader_cost=0.0011 | ETA 00:36:01 2020-12-16 12:10:25 [INFO] [TRAIN] epoch=212, iter=78580/80000, loss=0.1487, lr=0.000266, batch_cost=1.2683, reader_cost=0.0001 | ETA 00:30:00 2020-12-16 12:10:36 [INFO] [TRAIN] epoch=212, iter=78590/80000, loss=0.1313, lr=0.000264, batch_cost=1.1134, reader_cost=0.0010 | ETA 00:26:09 2020-12-16 12:10:48 [INFO] [TRAIN] epoch=212, iter=78600/80000, loss=0.1174, lr=0.000262, batch_cost=1.2230, reader_cost=0.0011 | ETA 00:28:32 2020-12-16 12:11:01 [INFO] [TRAIN] epoch=212, iter=78610/80000, loss=0.1407, lr=0.000261, batch_cost=1.2658, reader_cost=0.0001 | ETA 00:29:19 2020-12-16 12:11:13 [INFO] [TRAIN] epoch=212, iter=78620/80000, loss=0.1325, lr=0.000259, batch_cost=1.2646, reader_cost=0.0001 | ETA 00:29:05 2020-12-16 12:11:24 [INFO] [TRAIN] epoch=212, iter=78630/80000, loss=0.1254, lr=0.000257, batch_cost=1.0892, reader_cost=0.0001 | ETA 00:24:52 2020-12-16 12:11:33 [INFO] [TRAIN] epoch=212, iter=78640/80000, loss=0.0979, lr=0.000256, batch_cost=0.8835, reader_cost=0.0002 | ETA 00:20:01 2020-12-16 12:11:41 [INFO] [TRAIN] epoch=212, iter=78650/80000, loss=0.1457, lr=0.000254, batch_cost=0.8462, reader_cost=0.0008 | ETA 00:19:02 2020-12-16 12:11:51 [INFO] [TRAIN] epoch=212, iter=78660/80000, loss=0.1364, lr=0.000252, batch_cost=0.9992, reader_cost=0.0001 | ETA 00:22:18 2020-12-16 12:12:04 [INFO] [TRAIN] epoch=212, iter=78670/80000, loss=0.1170, lr=0.000251, batch_cost=1.2858, reader_cost=0.0001 | ETA 00:28:30 2020-12-16 12:12:16 [INFO] [TRAIN] epoch=212, iter=78680/80000, loss=0.1143, lr=0.000249, batch_cost=1.1999, reader_cost=0.0005 | ETA 00:26:23 2020-12-16 12:12:29 [INFO] [TRAIN] epoch=212, iter=78690/80000, loss=0.1348, lr=0.000247, batch_cost=1.2273, reader_cost=0.0016 | ETA 00:26:47 2020-12-16 12:12:41 [INFO] [TRAIN] epoch=212, iter=78700/80000, loss=0.1187, lr=0.000246, batch_cost=1.2274, reader_cost=0.0019 | ETA 00:26:35 2020-12-16 12:12:53 [INFO] [TRAIN] epoch=212, iter=78710/80000, loss=0.1172, lr=0.000244, batch_cost=1.2478, reader_cost=0.0062 | ETA 00:26:49 2020-12-16 12:13:06 [INFO] [TRAIN] epoch=212, iter=78720/80000, loss=0.1358, lr=0.000242, batch_cost=1.2701, reader_cost=0.0002 | ETA 00:27:05 2020-12-16 12:13:18 [INFO] [TRAIN] epoch=212, iter=78730/80000, loss=0.1017, lr=0.000240, batch_cost=1.1826, reader_cost=0.0010 | ETA 00:25:01 2020-12-16 12:13:31 [INFO] [TRAIN] epoch=212, iter=78740/80000, loss=0.1509, lr=0.000239, batch_cost=1.2728, reader_cost=0.0060 | ETA 00:26:43 2020-12-16 12:13:44 [INFO] [TRAIN] epoch=212, iter=78750/80000, loss=0.1308, lr=0.000237, batch_cost=1.3126, reader_cost=0.0012 | ETA 00:27:20 2020-12-16 12:13:57 [INFO] [TRAIN] epoch=212, iter=78760/80000, loss=0.1231, lr=0.000235, batch_cost=1.3387, reader_cost=0.0001 | ETA 00:27:39 2020-12-16 12:14:09 [INFO] [TRAIN] epoch=212, iter=78770/80000, loss=0.1150, lr=0.000234, batch_cost=1.2415, reader_cost=0.0002 | ETA 00:25:27 2020-12-16 12:14:22 [INFO] [TRAIN] epoch=212, iter=78780/80000, loss=0.1127, lr=0.000232, batch_cost=1.2323, reader_cost=0.0020 | ETA 00:25:03 2020-12-16 12:14:34 [INFO] [TRAIN] epoch=212, iter=78790/80000, loss=0.1158, lr=0.000230, batch_cost=1.2141, reader_cost=0.0001 | ETA 00:24:29 2020-12-16 12:14:47 [INFO] [TRAIN] epoch=212, iter=78800/80000, loss=0.1294, lr=0.000228, batch_cost=1.3163, reader_cost=0.0002 | ETA 00:26:19 2020-12-16 12:15:01 [INFO] [TRAIN] epoch=212, iter=78810/80000, loss=0.1271, lr=0.000227, batch_cost=1.3569, reader_cost=0.0005 | ETA 00:26:54 2020-12-16 12:15:12 [INFO] [TRAIN] epoch=212, iter=78820/80000, loss=0.1554, lr=0.000225, batch_cost=1.1574, reader_cost=0.0019 | ETA 00:22:45 2020-12-16 12:15:25 [INFO] [TRAIN] epoch=212, iter=78830/80000, loss=0.1639, lr=0.000223, batch_cost=1.2962, reader_cost=0.0002 | ETA 00:25:16 2020-12-16 12:15:37 [INFO] [TRAIN] epoch=212, iter=78840/80000, loss=0.1139, lr=0.000222, batch_cost=1.1952, reader_cost=0.0061 | ETA 00:23:06 2020-12-16 12:15:50 [INFO] [TRAIN] epoch=212, iter=78850/80000, loss=0.1328, lr=0.000220, batch_cost=1.2637, reader_cost=0.0018 | ETA 00:24:13 2020-12-16 12:16:00 [INFO] [TRAIN] epoch=212, iter=78860/80000, loss=0.1242, lr=0.000218, batch_cost=1.0391, reader_cost=0.0001 | ETA 00:19:44 2020-12-16 12:16:09 [INFO] [TRAIN] epoch=213, iter=78870/80000, loss=0.1175, lr=0.000216, batch_cost=0.9207, reader_cost=0.0519 | ETA 00:17:20 2020-12-16 12:16:18 [INFO] [TRAIN] epoch=213, iter=78880/80000, loss=0.1210, lr=0.000215, batch_cost=0.8221, reader_cost=0.0001 | ETA 00:15:20 2020-12-16 12:16:27 [INFO] [TRAIN] epoch=213, iter=78890/80000, loss=0.1065, lr=0.000213, batch_cost=0.8998, reader_cost=0.0027 | ETA 00:16:38 2020-12-16 12:16:39 [INFO] [TRAIN] epoch=213, iter=78900/80000, loss=0.1670, lr=0.000211, batch_cost=1.2537, reader_cost=0.0027 | ETA 00:22:59 2020-12-16 12:16:52 [INFO] [TRAIN] epoch=213, iter=78910/80000, loss=0.1495, lr=0.000210, batch_cost=1.2532, reader_cost=0.0001 | ETA 00:22:45 2020-12-16 12:17:04 [INFO] [TRAIN] epoch=213, iter=78920/80000, loss=0.1480, lr=0.000208, batch_cost=1.2522, reader_cost=0.0013 | ETA 00:22:32 2020-12-16 12:17:16 [INFO] [TRAIN] epoch=213, iter=78930/80000, loss=0.1326, lr=0.000206, batch_cost=1.1542, reader_cost=0.0005 | ETA 00:20:34 2020-12-16 12:17:27 [INFO] [TRAIN] epoch=213, iter=78940/80000, loss=0.1176, lr=0.000204, batch_cost=1.0803, reader_cost=0.0008 | ETA 00:19:05 2020-12-16 12:17:37 [INFO] [TRAIN] epoch=213, iter=78950/80000, loss=0.1321, lr=0.000203, batch_cost=1.0704, reader_cost=0.0005 | ETA 00:18:43 2020-12-16 12:17:49 [INFO] [TRAIN] epoch=213, iter=78960/80000, loss=0.1341, lr=0.000201, batch_cost=1.2105, reader_cost=0.0015 | ETA 00:20:58 2020-12-16 12:18:01 [INFO] [TRAIN] epoch=213, iter=78970/80000, loss=0.1453, lr=0.000199, batch_cost=1.1707, reader_cost=0.0001 | ETA 00:20:05 2020-12-16 12:18:13 [INFO] [TRAIN] epoch=213, iter=78980/80000, loss=0.1225, lr=0.000197, batch_cost=1.2076, reader_cost=0.0010 | ETA 00:20:31 2020-12-16 12:18:26 [INFO] [TRAIN] epoch=213, iter=78990/80000, loss=0.1367, lr=0.000196, batch_cost=1.2940, reader_cost=0.0010 | ETA 00:21:46 2020-12-16 12:18:38 [INFO] [TRAIN] epoch=213, iter=79000/80000, loss=0.1047, lr=0.000194, batch_cost=1.2308, reader_cost=0.0001 | ETA 00:20:30 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 12:18:38 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 12:19:29 [INFO] [EVAL] #Images=500 mIoU=0.8004 Acc=0.9631 Kappa=0.9522 2020-12-16 12:19:29 [INFO] [EVAL] Class IoU: [0.9834 0.8633 0.9299 0.6085 0.6458 0.6228 0.717 0.7906 0.926 0.6657 0.9501 0.8231 0.6539 0.9531 0.8387 0.9224 0.8505 0.6823 0.7813] 2020-12-16 12:19:29 [INFO] [EVAL] Class Acc: [0.9936 0.9217 0.9605 0.8502 0.8293 0.7852 0.835 0.9038 0.9555 0.8239 0.9704 0.8903 0.8015 0.974 0.9101 0.9653 0.9663 0.8417 0.8604] 2020-12-16 12:19:36 [INFO] [EVAL] The model with the best validation mIoU (0.8010) was saved at iter 78000. 2020-12-16 12:19:49 [INFO] [TRAIN] epoch=213, iter=79010/80000, loss=0.1353, lr=0.000192, batch_cost=1.2735, reader_cost=0.0001 | ETA 00:21:00 2020-12-16 12:20:01 [INFO] [TRAIN] epoch=213, iter=79020/80000, loss=0.1329, lr=0.000190, batch_cost=1.2003, reader_cost=0.0001 | ETA 00:19:36 2020-12-16 12:20:14 [INFO] [TRAIN] epoch=213, iter=79030/80000, loss=0.1345, lr=0.000189, batch_cost=1.2953, reader_cost=0.0021 | ETA 00:20:56 2020-12-16 12:20:26 [INFO] [TRAIN] epoch=213, iter=79040/80000, loss=0.1004, lr=0.000187, batch_cost=1.2020, reader_cost=0.0012 | ETA 00:19:13 2020-12-16 12:20:38 [INFO] [TRAIN] epoch=213, iter=79050/80000, loss=0.1242, lr=0.000185, batch_cost=1.2436, reader_cost=0.0001 | ETA 00:19:41 2020-12-16 12:20:46 [INFO] [TRAIN] epoch=213, iter=79060/80000, loss=0.1807, lr=0.000183, batch_cost=0.8182, reader_cost=0.0001 | ETA 00:12:49 2020-12-16 12:20:55 [INFO] [TRAIN] epoch=213, iter=79070/80000, loss=0.1439, lr=0.000182, batch_cost=0.8277, reader_cost=0.0001 | ETA 00:12:49 2020-12-16 12:21:03 [INFO] [TRAIN] epoch=213, iter=79080/80000, loss=0.1580, lr=0.000180, batch_cost=0.8426, reader_cost=0.0001 | ETA 00:12:55 2020-12-16 12:21:15 [INFO] [TRAIN] epoch=213, iter=79090/80000, loss=0.1256, lr=0.000178, batch_cost=1.1619, reader_cost=0.0006 | ETA 00:17:37 2020-12-16 12:21:27 [INFO] [TRAIN] epoch=213, iter=79100/80000, loss=0.1235, lr=0.000176, batch_cost=1.2111, reader_cost=0.0024 | ETA 00:18:10 2020-12-16 12:21:38 [INFO] [TRAIN] epoch=213, iter=79110/80000, loss=0.1277, lr=0.000175, batch_cost=1.1372, reader_cost=0.0004 | ETA 00:16:52 2020-12-16 12:21:50 [INFO] [TRAIN] epoch=213, iter=79120/80000, loss=0.1356, lr=0.000173, batch_cost=1.1858, reader_cost=0.0002 | ETA 00:17:23 2020-12-16 12:22:03 [INFO] [TRAIN] epoch=213, iter=79130/80000, loss=0.1189, lr=0.000171, batch_cost=1.2991, reader_cost=0.0015 | ETA 00:18:50 2020-12-16 12:22:15 [INFO] [TRAIN] epoch=213, iter=79140/80000, loss=0.1129, lr=0.000169, batch_cost=1.2333, reader_cost=0.0047 | ETA 00:17:40 2020-12-16 12:22:29 [INFO] [TRAIN] epoch=213, iter=79150/80000, loss=0.1111, lr=0.000168, batch_cost=1.3548, reader_cost=0.0002 | ETA 00:19:11 2020-12-16 12:22:42 [INFO] [TRAIN] epoch=213, iter=79160/80000, loss=0.1495, lr=0.000166, batch_cost=1.2793, reader_cost=0.0021 | ETA 00:17:54 2020-12-16 12:22:53 [INFO] [TRAIN] epoch=213, iter=79170/80000, loss=0.1119, lr=0.000164, batch_cost=1.1623, reader_cost=0.0016 | ETA 00:16:04 2020-12-16 12:23:05 [INFO] [TRAIN] epoch=213, iter=79180/80000, loss=0.1387, lr=0.000162, batch_cost=1.1194, reader_cost=0.0005 | ETA 00:15:17 2020-12-16 12:23:17 [INFO] [TRAIN] epoch=213, iter=79190/80000, loss=0.1445, lr=0.000160, batch_cost=1.2696, reader_cost=0.0021 | ETA 00:17:08 2020-12-16 12:23:30 [INFO] [TRAIN] epoch=213, iter=79200/80000, loss=0.1256, lr=0.000159, batch_cost=1.2523, reader_cost=0.0001 | ETA 00:16:41 2020-12-16 12:23:42 [INFO] [TRAIN] epoch=213, iter=79210/80000, loss=0.1452, lr=0.000157, batch_cost=1.2447, reader_cost=0.0005 | ETA 00:16:23 2020-12-16 12:23:54 [INFO] [TRAIN] epoch=213, iter=79220/80000, loss=0.1084, lr=0.000155, batch_cost=1.1351, reader_cost=0.0001 | ETA 00:14:45 2020-12-16 12:24:06 [INFO] [TRAIN] epoch=213, iter=79230/80000, loss=0.1323, lr=0.000153, batch_cost=1.2719, reader_cost=0.0010 | ETA 00:16:19 2020-12-16 12:24:18 [INFO] [TRAIN] epoch=214, iter=79240/80000, loss=0.0873, lr=0.000152, batch_cost=1.1485, reader_cost=0.0601 | ETA 00:14:32 2020-12-16 12:24:30 [INFO] [TRAIN] epoch=214, iter=79250/80000, loss=0.1281, lr=0.000150, batch_cost=1.2429, reader_cost=0.0019 | ETA 00:15:32 2020-12-16 12:24:42 [INFO] [TRAIN] epoch=214, iter=79260/80000, loss=0.1169, lr=0.000148, batch_cost=1.1985, reader_cost=0.0010 | ETA 00:14:46 2020-12-16 12:24:56 [INFO] [TRAIN] epoch=214, iter=79270/80000, loss=0.1283, lr=0.000146, batch_cost=1.3847, reader_cost=0.0004 | ETA 00:16:50 2020-12-16 12:25:08 [INFO] [TRAIN] epoch=214, iter=79280/80000, loss=0.1354, lr=0.000144, batch_cost=1.1588, reader_cost=0.0032 | ETA 00:13:54 2020-12-16 12:25:18 [INFO] [TRAIN] epoch=214, iter=79290/80000, loss=0.1455, lr=0.000143, batch_cost=1.0364, reader_cost=0.0001 | ETA 00:12:15 2020-12-16 12:25:26 [INFO] [TRAIN] epoch=214, iter=79300/80000, loss=0.1279, lr=0.000141, batch_cost=0.8255, reader_cost=0.0001 | ETA 00:09:37 2020-12-16 12:25:35 [INFO] [TRAIN] epoch=214, iter=79310/80000, loss=0.1517, lr=0.000139, batch_cost=0.8232, reader_cost=0.0001 | ETA 00:09:28 2020-12-16 12:25:44 [INFO] [TRAIN] epoch=214, iter=79320/80000, loss=0.1135, lr=0.000137, batch_cost=0.9358, reader_cost=0.0005 | ETA 00:10:36 2020-12-16 12:25:56 [INFO] [TRAIN] epoch=214, iter=79330/80000, loss=0.1087, lr=0.000135, batch_cost=1.2006, reader_cost=0.0020 | ETA 00:13:24 2020-12-16 12:26:08 [INFO] [TRAIN] epoch=214, iter=79340/80000, loss=0.1247, lr=0.000133, batch_cost=1.2372, reader_cost=0.0032 | ETA 00:13:36 2020-12-16 12:26:22 [INFO] [TRAIN] epoch=214, iter=79350/80000, loss=0.0966, lr=0.000132, batch_cost=1.3340, reader_cost=0.0005 | ETA 00:14:27 2020-12-16 12:26:34 [INFO] [TRAIN] epoch=214, iter=79360/80000, loss=0.1629, lr=0.000130, batch_cost=1.2532, reader_cost=0.0017 | ETA 00:13:22 2020-12-16 12:26:46 [INFO] [TRAIN] epoch=214, iter=79370/80000, loss=0.1182, lr=0.000128, batch_cost=1.2111, reader_cost=0.0022 | ETA 00:12:42 2020-12-16 12:26:58 [INFO] [TRAIN] epoch=214, iter=79380/80000, loss=0.1293, lr=0.000126, batch_cost=1.2178, reader_cost=0.0017 | ETA 00:12:35 2020-12-16 12:27:09 [INFO] [TRAIN] epoch=214, iter=79390/80000, loss=0.1130, lr=0.000124, batch_cost=1.0849, reader_cost=0.0001 | ETA 00:11:01 2020-12-16 12:27:18 [INFO] [TRAIN] epoch=214, iter=79400/80000, loss=0.1363, lr=0.000123, batch_cost=0.8289, reader_cost=0.0001 | ETA 00:08:17 2020-12-16 12:27:26 [INFO] [TRAIN] epoch=214, iter=79410/80000, loss=0.1607, lr=0.000121, batch_cost=0.8318, reader_cost=0.0001 | ETA 00:08:10 2020-12-16 12:27:34 [INFO] [TRAIN] epoch=214, iter=79420/80000, loss=0.1518, lr=0.000119, batch_cost=0.8070, reader_cost=0.0001 | ETA 00:07:48 2020-12-16 12:27:42 [INFO] [TRAIN] epoch=214, iter=79430/80000, loss=0.1179, lr=0.000117, batch_cost=0.8113, reader_cost=0.0001 | ETA 00:07:42 2020-12-16 12:27:52 [INFO] [TRAIN] epoch=214, iter=79440/80000, loss=0.1457, lr=0.000115, batch_cost=1.0357, reader_cost=0.0007 | ETA 00:09:40 2020-12-16 12:28:05 [INFO] [TRAIN] epoch=214, iter=79450/80000, loss=0.1429, lr=0.000113, batch_cost=1.2212, reader_cost=0.0007 | ETA 00:11:11 2020-12-16 12:28:17 [INFO] [TRAIN] epoch=214, iter=79460/80000, loss=0.0966, lr=0.000111, batch_cost=1.2490, reader_cost=0.0001 | ETA 00:11:14 2020-12-16 12:28:29 [INFO] [TRAIN] epoch=214, iter=79470/80000, loss=0.1057, lr=0.000110, batch_cost=1.2280, reader_cost=0.0009 | ETA 00:10:50 2020-12-16 12:28:43 [INFO] [TRAIN] epoch=214, iter=79480/80000, loss=0.1695, lr=0.000108, batch_cost=1.3486, reader_cost=0.0002 | ETA 00:11:41 2020-12-16 12:28:55 [INFO] [TRAIN] epoch=214, iter=79490/80000, loss=0.1500, lr=0.000106, batch_cost=1.2029, reader_cost=0.0004 | ETA 00:10:13 2020-12-16 12:29:06 [INFO] [TRAIN] epoch=214, iter=79500/80000, loss=0.1312, lr=0.000104, batch_cost=1.1262, reader_cost=0.0005 | ETA 00:09:23 2020-12-16 12:29:18 [INFO] [TRAIN] epoch=214, iter=79510/80000, loss=0.0969, lr=0.000102, batch_cost=1.2222, reader_cost=0.0001 | ETA 00:09:58 2020-12-16 12:29:32 [INFO] [TRAIN] epoch=214, iter=79520/80000, loss=0.1333, lr=0.000100, batch_cost=1.3347, reader_cost=0.0001 | ETA 00:10:40 2020-12-16 12:29:45 [INFO] [TRAIN] epoch=214, iter=79530/80000, loss=0.1214, lr=0.000098, batch_cost=1.3274, reader_cost=0.0001 | ETA 00:10:23 2020-12-16 12:29:57 [INFO] [TRAIN] epoch=214, iter=79540/80000, loss=0.1252, lr=0.000097, batch_cost=1.2179, reader_cost=0.0007 | ETA 00:09:20 2020-12-16 12:30:09 [INFO] [TRAIN] epoch=214, iter=79550/80000, loss=0.1371, lr=0.000095, batch_cost=1.2052, reader_cost=0.0005 | ETA 00:09:02 2020-12-16 12:30:22 [INFO] [TRAIN] epoch=214, iter=79560/80000, loss=0.1062, lr=0.000093, batch_cost=1.2266, reader_cost=0.0005 | ETA 00:08:59 2020-12-16 12:30:32 [INFO] [TRAIN] epoch=214, iter=79570/80000, loss=0.1376, lr=0.000091, batch_cost=1.0766, reader_cost=0.0005 | ETA 00:07:42 2020-12-16 12:30:41 [INFO] [TRAIN] epoch=214, iter=79580/80000, loss=0.0987, lr=0.000089, batch_cost=0.8463, reader_cost=0.0001 | ETA 00:05:55 2020-12-16 12:30:49 [INFO] [TRAIN] epoch=214, iter=79590/80000, loss=0.1604, lr=0.000087, batch_cost=0.8139, reader_cost=0.0001 | ETA 00:05:33 2020-12-16 12:30:59 [INFO] [TRAIN] epoch=214, iter=79600/80000, loss=0.1129, lr=0.000085, batch_cost=0.9660, reader_cost=0.0001 | ETA 00:06:26 2020-12-16 12:31:10 [INFO] [TRAIN] epoch=215, iter=79610/80000, loss=0.1388, lr=0.000083, batch_cost=1.1547, reader_cost=0.0723 | ETA 00:07:30 2020-12-16 12:31:22 [INFO] [TRAIN] epoch=215, iter=79620/80000, loss=0.1059, lr=0.000081, batch_cost=1.2197, reader_cost=0.0007 | ETA 00:07:43 2020-12-16 12:31:36 [INFO] [TRAIN] epoch=215, iter=79630/80000, loss=0.1343, lr=0.000079, batch_cost=1.3135, reader_cost=0.0024 | ETA 00:08:06 2020-12-16 12:31:48 [INFO] [TRAIN] epoch=215, iter=79640/80000, loss=0.1536, lr=0.000077, batch_cost=1.2824, reader_cost=0.0001 | ETA 00:07:41 2020-12-16 12:32:01 [INFO] [TRAIN] epoch=215, iter=79650/80000, loss=0.1149, lr=0.000076, batch_cost=1.2701, reader_cost=0.0001 | ETA 00:07:24 2020-12-16 12:32:14 [INFO] [TRAIN] epoch=215, iter=79660/80000, loss=0.1286, lr=0.000074, batch_cost=1.2484, reader_cost=0.0001 | ETA 00:07:04 2020-12-16 12:32:26 [INFO] [TRAIN] epoch=215, iter=79670/80000, loss=0.1060, lr=0.000072, batch_cost=1.2863, reader_cost=0.0005 | ETA 00:07:04 2020-12-16 12:32:40 [INFO] [TRAIN] epoch=215, iter=79680/80000, loss=0.1025, lr=0.000070, batch_cost=1.3644, reader_cost=0.0014 | ETA 00:07:16 2020-12-16 12:32:53 [INFO] [TRAIN] epoch=215, iter=79690/80000, loss=0.1131, lr=0.000068, batch_cost=1.2885, reader_cost=0.0031 | ETA 00:06:39 2020-12-16 12:33:04 [INFO] [TRAIN] epoch=215, iter=79700/80000, loss=0.1181, lr=0.000066, batch_cost=1.1143, reader_cost=0.0010 | ETA 00:05:34 2020-12-16 12:33:16 [INFO] [TRAIN] epoch=215, iter=79710/80000, loss=0.1475, lr=0.000064, batch_cost=1.2371, reader_cost=0.0012 | ETA 00:05:58 2020-12-16 12:33:29 [INFO] [TRAIN] epoch=215, iter=79720/80000, loss=0.1298, lr=0.000062, batch_cost=1.2076, reader_cost=0.0004 | ETA 00:05:38 2020-12-16 12:33:41 [INFO] [TRAIN] epoch=215, iter=79730/80000, loss=0.1342, lr=0.000060, batch_cost=1.2038, reader_cost=0.0004 | ETA 00:05:25 2020-12-16 12:33:52 [INFO] [TRAIN] epoch=215, iter=79740/80000, loss=0.1404, lr=0.000058, batch_cost=1.1426, reader_cost=0.0001 | ETA 00:04:57 2020-12-16 12:34:04 [INFO] [TRAIN] epoch=215, iter=79750/80000, loss=0.1462, lr=0.000056, batch_cost=1.2317, reader_cost=0.0001 | ETA 00:05:07 2020-12-16 12:34:17 [INFO] [TRAIN] epoch=215, iter=79760/80000, loss=0.1013, lr=0.000054, batch_cost=1.3012, reader_cost=0.0038 | ETA 00:05:12 2020-12-16 12:34:29 [INFO] [TRAIN] epoch=215, iter=79770/80000, loss=0.1170, lr=0.000052, batch_cost=1.2012, reader_cost=0.0033 | ETA 00:04:36 2020-12-16 12:34:41 [INFO] [TRAIN] epoch=215, iter=79780/80000, loss=0.1451, lr=0.000050, batch_cost=1.1453, reader_cost=0.0001 | ETA 00:04:11 2020-12-16 12:34:53 [INFO] [TRAIN] epoch=215, iter=79790/80000, loss=0.1434, lr=0.000048, batch_cost=1.2168, reader_cost=0.0025 | ETA 00:04:15 2020-12-16 12:35:05 [INFO] [TRAIN] epoch=215, iter=79800/80000, loss=0.1242, lr=0.000046, batch_cost=1.1956, reader_cost=0.0017 | ETA 00:03:59 2020-12-16 12:35:14 [INFO] [TRAIN] epoch=215, iter=79810/80000, loss=0.1432, lr=0.000044, batch_cost=0.9081, reader_cost=0.0004 | ETA 00:02:52 2020-12-16 12:35:22 [INFO] [TRAIN] epoch=215, iter=79820/80000, loss=0.1031, lr=0.000042, batch_cost=0.8443, reader_cost=0.0001 | ETA 00:02:31 2020-12-16 12:35:31 [INFO] [TRAIN] epoch=215, iter=79830/80000, loss=0.1090, lr=0.000040, batch_cost=0.8566, reader_cost=0.0001 | ETA 00:02:25 2020-12-16 12:35:41 [INFO] [TRAIN] epoch=215, iter=79840/80000, loss=0.0943, lr=0.000037, batch_cost=1.0362, reader_cost=0.0001 | ETA 00:02:45 2020-12-16 12:35:53 [INFO] [TRAIN] epoch=215, iter=79850/80000, loss=0.1225, lr=0.000035, batch_cost=1.1918, reader_cost=0.0049 | ETA 00:02:58 2020-12-16 12:36:05 [INFO] [TRAIN] epoch=215, iter=79860/80000, loss=0.1150, lr=0.000033, batch_cost=1.1728, reader_cost=0.0002 | ETA 00:02:44 2020-12-16 12:36:16 [INFO] [TRAIN] epoch=215, iter=79870/80000, loss=0.1576, lr=0.000031, batch_cost=1.1367, reader_cost=0.0001 | ETA 00:02:27 2020-12-16 12:36:27 [INFO] [TRAIN] epoch=215, iter=79880/80000, loss=0.1387, lr=0.000029, batch_cost=1.0986, reader_cost=0.0009 | ETA 00:02:11 2020-12-16 12:36:40 [INFO] [TRAIN] epoch=215, iter=79890/80000, loss=0.1164, lr=0.000027, batch_cost=1.2614, reader_cost=0.0001 | ETA 00:02:18 2020-12-16 12:36:52 [INFO] [TRAIN] epoch=215, iter=79900/80000, loss=0.1255, lr=0.000025, batch_cost=1.1789, reader_cost=0.0005 | ETA 00:01:57 2020-12-16 12:37:04 [INFO] [TRAIN] epoch=215, iter=79910/80000, loss=0.1217, lr=0.000022, batch_cost=1.1952, reader_cost=0.0006 | ETA 00:01:47 2020-12-16 12:37:15 [INFO] [TRAIN] epoch=215, iter=79920/80000, loss=0.1101, lr=0.000020, batch_cost=1.1583, reader_cost=0.0009 | ETA 00:01:32 2020-12-16 12:37:28 [INFO] [TRAIN] epoch=215, iter=79930/80000, loss=0.1418, lr=0.000018, batch_cost=1.3019, reader_cost=0.0002 | ETA 00:01:31 2020-12-16 12:37:41 [INFO] [TRAIN] epoch=215, iter=79940/80000, loss=0.1109, lr=0.000016, batch_cost=1.2367, reader_cost=0.0009 | ETA 00:01:14 2020-12-16 12:37:53 [INFO] [TRAIN] epoch=215, iter=79950/80000, loss=0.1132, lr=0.000013, batch_cost=1.2649, reader_cost=0.0009 | ETA 00:01:03 2020-12-16 12:38:05 [INFO] [TRAIN] epoch=215, iter=79960/80000, loss=0.1511, lr=0.000011, batch_cost=1.1770, reader_cost=0.0001 | ETA 00:00:47 2020-12-16 12:38:17 [INFO] [TRAIN] epoch=215, iter=79970/80000, loss=0.1164, lr=0.000009, batch_cost=1.1700, reader_cost=0.0001 | ETA 00:00:35 2020-12-16 12:38:27 [INFO] [TRAIN] epoch=215, iter=79980/80000, loss=0.1049, lr=0.000006, batch_cost=0.9677, reader_cost=0.0001 | ETA 00:00:19 2020-12-16 12:38:39 [INFO] [TRAIN] epoch=216, iter=79990/80000, loss=0.1287, lr=0.000003, batch_cost=1.2327, reader_cost=0.0585 | ETA 00:00:12 2020-12-16 12:38:51 [INFO] [TRAIN] epoch=216, iter=80000/80000, loss=0.1279, lr=0.000000, batch_cost=1.1681, reader_cost=0.0013 | 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 2020-12-16 12:38:51 [INFO] Start evaluating (total_samples=500, total_iters=125)... 2020-12-16 12:39:41 [INFO] [EVAL] #Images=500 mIoU=0.8009 Acc=0.9632 Kappa=0.9522 2020-12-16 12:39:41 [INFO] [EVAL] Class IoU: [0.9834 0.8621 0.9298 0.6148 0.644 0.6221 0.718 0.7892 0.9264 0.6626 0.9501 0.8226 0.6528 0.9529 0.8409 0.925 0.854 0.6855 0.7812] 2020-12-16 12:39:41 [INFO] [EVAL] Class Acc: [0.9934 0.9203 0.9597 0.8486 0.835 0.7929 0.8338 0.9066 0.9548 0.8546 0.971 0.888 0.7925 0.9735 0.9153 0.9726 0.9602 0.8415 0.8604] 2020-12-16 12:39:42 [INFO] [EVAL] The model with the best validation mIoU (0.8010) was saved at iter 78000. ----------- 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_resnet101_cityscapes_769x769_80k.yml'] use_paddlecloud: False ------------------------------------------------