2020-12-16 22:48:50 [INFO] ------------Environment Information------------- platform: Linux-3.10.0-1062.18.1.el7.x86_64-x86_64-with-centos-7.7.1908-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: 0,1,2,3 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: 4.2.0 ------------------------------------------------ 2020-12-16 22:48:50 [INFO] ---------------Config Information--------------- batch_size: 4 iters: 40000 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: align_corners: false backbone: output_stride: 8 pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz type: ResNet101_vd concat_input: true ema_channels: 512 enable_auxiliary_loss: true gc_channels: 256 momentum: 0.1 num_bases: 64 num_classes: 19 stage_num: 3 type: EMANet optimizer: momentum: 0.9 type: sgd weight_decay: 0.0005 train_dataset: dataset_root: data/VOCdevkit/ mode: trainaug transforms: - max_scale_factor: 2.0 min_scale_factor: 0.5 scale_step_size: 0.25 type: ResizeStepScaling - crop_size: - 512 - 512 type: RandomPaddingCrop - type: RandomHorizontalFlip - brightness_range: 0.4 contrast_range: 0.4 saturation_range: 0.4 type: RandomDistort - type: Normalize type: PascalVOC val_dataset: dataset_root: data/VOCdevkit/ mode: val transforms: - target_size: - 512 - 512 type: Padding - type: Normalize type: PascalVOC ------------------------------------------------ 2020-12-16 22:48:54 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz 2020-12-16 22:48:56 [INFO] There are 530/530 variables loaded into ResNet_vd. 2020-12-16 22:49:15 [INFO] [TRAIN] epoch=1, iter=10/40000, loss=2.6780, lr=0.009998, batch_cost=1.1564, reader_cost=0.1317 | ETA 12:50:44 2020-12-16 22:49:23 [INFO] [TRAIN] epoch=1, iter=20/40000, loss=1.3137, lr=0.009996, batch_cost=0.8438, reader_cost=0.0014 | ETA 09:22:16 2020-12-16 22:49:33 [INFO] [TRAIN] epoch=1, iter=30/40000, loss=1.4615, lr=0.009993, batch_cost=0.9620, reader_cost=0.0001 | ETA 10:40:53 2020-12-16 22:49:42 [INFO] [TRAIN] epoch=1, iter=40/40000, loss=1.3369, lr=0.009991, batch_cost=0.9020, reader_cost=0.0001 | ETA 10:00:43 2020-12-16 22:49:52 [INFO] [TRAIN] epoch=1, iter=50/40000, loss=1.3601, lr=0.009989, batch_cost=0.9619, reader_cost=0.0001 | ETA 10:40:28 2020-12-16 22:50:01 [INFO] [TRAIN] epoch=1, iter=60/40000, loss=1.0243, lr=0.009987, batch_cost=0.9596, reader_cost=0.0014 | ETA 10:38:46 2020-12-16 22:50:11 [INFO] [TRAIN] epoch=1, iter=70/40000, loss=1.4820, lr=0.009984, batch_cost=0.9526, reader_cost=0.0001 | ETA 10:33:59 2020-12-16 22:50:20 [INFO] [TRAIN] epoch=1, iter=80/40000, loss=1.3474, lr=0.009982, batch_cost=0.8796, reader_cost=0.0016 | ETA 09:45:11 2020-12-16 22:50:29 [INFO] [TRAIN] epoch=1, iter=90/40000, loss=1.3477, lr=0.009980, batch_cost=0.9442, reader_cost=0.0002 | ETA 10:28:03 2020-12-16 22:50:39 [INFO] [TRAIN] epoch=1, iter=100/40000, loss=0.9402, lr=0.009978, batch_cost=0.9500, reader_cost=0.0001 | ETA 10:31:45 2020-12-16 22:50:48 [INFO] [TRAIN] epoch=1, iter=110/40000, loss=0.7840, lr=0.009975, batch_cost=0.9022, reader_cost=0.0001 | ETA 09:59:47 2020-12-16 22:50:57 [INFO] [TRAIN] epoch=1, iter=120/40000, loss=1.1843, lr=0.009973, batch_cost=0.9604, reader_cost=0.0001 | ETA 10:38:19 2020-12-16 22:51:07 [INFO] [TRAIN] epoch=1, iter=130/40000, loss=0.9311, lr=0.009971, batch_cost=1.0199, reader_cost=0.0014 | ETA 11:17:41 2020-12-16 22:51:17 [INFO] [TRAIN] epoch=1, iter=140/40000, loss=1.0760, lr=0.009969, batch_cost=0.9990, reader_cost=0.0003 | ETA 11:03:39 2020-12-16 22:51:27 [INFO] [TRAIN] epoch=1, iter=150/40000, loss=1.1536, lr=0.009966, batch_cost=0.9742, reader_cost=0.0002 | ETA 10:47:02 2020-12-16 22:51:37 [INFO] [TRAIN] epoch=1, iter=160/40000, loss=1.3192, lr=0.009964, batch_cost=0.9769, reader_cost=0.0002 | ETA 10:48:37 2020-12-16 22:51:46 [INFO] [TRAIN] epoch=1, iter=170/40000, loss=0.8767, lr=0.009962, batch_cost=0.9398, reader_cost=0.0001 | ETA 10:23:51 2020-12-16 22:51:55 [INFO] [TRAIN] epoch=1, iter=180/40000, loss=1.2623, lr=0.009960, batch_cost=0.8325, reader_cost=0.0002 | ETA 09:12:31 2020-12-16 22:52:05 [INFO] [TRAIN] epoch=1, iter=190/40000, loss=0.9461, lr=0.009957, batch_cost=0.9919, reader_cost=0.0002 | ETA 10:58:08 2020-12-16 22:52:14 [INFO] [TRAIN] epoch=1, iter=200/40000, loss=1.3325, lr=0.009955, batch_cost=0.9681, reader_cost=0.0001 | ETA 10:42:10 2020-12-16 22:52:24 [INFO] [TRAIN] epoch=1, iter=210/40000, loss=1.0109, lr=0.009953, batch_cost=1.0177, reader_cost=0.0014 | ETA 11:14:53 2020-12-16 22:52:34 [INFO] [TRAIN] epoch=1, iter=220/40000, loss=0.9959, lr=0.009951, batch_cost=0.9785, reader_cost=0.0006 | ETA 10:48:45 2020-12-16 22:52:43 [INFO] [TRAIN] epoch=1, iter=230/40000, loss=1.1570, lr=0.009948, batch_cost=0.9206, reader_cost=0.0002 | ETA 10:10:12 2020-12-16 22:52:53 [INFO] [TRAIN] epoch=1, iter=240/40000, loss=1.4525, lr=0.009946, batch_cost=1.0095, reader_cost=0.0006 | ETA 11:08:56 2020-12-16 22:53:02 [INFO] [TRAIN] epoch=1, iter=250/40000, loss=1.0222, lr=0.009944, batch_cost=0.8558, reader_cost=0.0001 | ETA 09:26:56 2020-12-16 22:53:11 [INFO] [TRAIN] epoch=1, iter=260/40000, loss=0.9808, lr=0.009942, batch_cost=0.8640, reader_cost=0.0001 | ETA 09:32:16 2020-12-16 22:53:20 [INFO] [TRAIN] epoch=1, iter=270/40000, loss=0.7854, lr=0.009939, batch_cost=0.9527, reader_cost=0.0002 | ETA 10:30:51 2020-12-16 22:53:30 [INFO] [TRAIN] epoch=1, iter=280/40000, loss=1.0348, lr=0.009937, batch_cost=1.0027, reader_cost=0.0002 | ETA 11:03:46 2020-12-16 22:53:39 [INFO] [TRAIN] epoch=1, iter=290/40000, loss=0.8863, lr=0.009935, batch_cost=0.9086, reader_cost=0.0002 | ETA 10:01:19 2020-12-16 22:53:48 [INFO] [TRAIN] epoch=1, iter=300/40000, loss=0.7248, lr=0.009933, batch_cost=0.9148, reader_cost=0.0002 | ETA 10:05:18 2020-12-16 22:53:57 [INFO] [TRAIN] epoch=1, iter=310/40000, loss=1.1212, lr=0.009930, batch_cost=0.8993, reader_cost=0.0001 | ETA 09:54:52 2020-12-16 22:54:05 [INFO] [TRAIN] epoch=1, iter=320/40000, loss=1.1695, lr=0.009928, batch_cost=0.7985, reader_cost=0.0001 | ETA 08:48:04 2020-12-16 22:54:13 [INFO] [TRAIN] epoch=1, iter=330/40000, loss=1.0593, lr=0.009926, batch_cost=0.7419, reader_cost=0.0001 | ETA 08:10:30 2020-12-16 22:54:20 [INFO] [TRAIN] epoch=1, iter=340/40000, loss=1.0785, lr=0.009924, batch_cost=0.7056, reader_cost=0.0001 | ETA 07:46:22 2020-12-16 22:54:27 [INFO] [TRAIN] epoch=1, iter=350/40000, loss=1.0310, lr=0.009921, batch_cost=0.7130, reader_cost=0.0001 | ETA 07:51:09 2020-12-16 22:54:37 [INFO] [TRAIN] epoch=1, iter=360/40000, loss=0.9643, lr=0.009919, batch_cost=1.0263, reader_cost=0.0001 | ETA 11:18:04 2020-12-16 22:54:48 [INFO] [TRAIN] epoch=1, iter=370/40000, loss=0.9751, lr=0.009917, batch_cost=1.0326, reader_cost=0.0001 | ETA 11:22:00 2020-12-16 22:54:58 [INFO] [TRAIN] epoch=1, iter=380/40000, loss=0.9102, lr=0.009915, batch_cost=1.0489, reader_cost=0.0002 | ETA 11:32:37 2020-12-16 22:55:08 [INFO] [TRAIN] epoch=1, iter=390/40000, loss=1.0079, lr=0.009912, batch_cost=0.9988, reader_cost=0.0003 | ETA 10:59:22 2020-12-16 22:55:17 [INFO] [TRAIN] epoch=1, iter=400/40000, loss=1.3896, lr=0.009910, batch_cost=0.9260, reader_cost=0.0012 | ETA 10:11:09 2020-12-16 22:55:25 [INFO] [TRAIN] epoch=1, iter=410/40000, loss=1.1771, lr=0.009908, batch_cost=0.8099, reader_cost=0.0001 | ETA 08:54:23 2020-12-16 22:55:37 [INFO] [TRAIN] epoch=1, iter=420/40000, loss=1.0167, lr=0.009906, batch_cost=1.1995, reader_cost=0.0021 | ETA 13:11:15 2020-12-16 22:55:48 [INFO] [TRAIN] epoch=1, iter=430/40000, loss=1.0855, lr=0.009903, batch_cost=1.0789, reader_cost=0.0002 | ETA 11:51:33 2020-12-16 22:55:58 [INFO] [TRAIN] epoch=1, iter=440/40000, loss=0.7118, lr=0.009901, batch_cost=0.9390, reader_cost=0.0002 | ETA 10:19:08 2020-12-16 22:56:08 [INFO] [TRAIN] epoch=1, iter=450/40000, loss=0.9948, lr=0.009899, batch_cost=1.0030, reader_cost=0.0002 | ETA 11:01:07 2020-12-16 22:56:17 [INFO] [TRAIN] epoch=1, iter=460/40000, loss=0.6191, lr=0.009897, batch_cost=0.9201, reader_cost=0.0002 | ETA 10:06:22 2020-12-16 22:56:27 [INFO] [TRAIN] epoch=1, iter=470/40000, loss=0.7649, lr=0.009894, batch_cost=0.9921, reader_cost=0.0005 | ETA 10:53:37 2020-12-16 22:56:37 [INFO] [TRAIN] epoch=1, iter=480/40000, loss=1.0321, lr=0.009892, batch_cost=1.0587, reader_cost=0.0002 | ETA 11:37:20 2020-12-16 22:56:47 [INFO] [TRAIN] epoch=1, iter=490/40000, loss=0.7975, lr=0.009890, batch_cost=0.9470, reader_cost=0.0002 | ETA 10:23:35 2020-12-16 22:56:56 [INFO] [TRAIN] epoch=1, iter=500/40000, loss=0.7156, lr=0.009888, batch_cost=0.8981, reader_cost=0.0001 | ETA 09:51:14 2020-12-16 22:57:05 [INFO] [TRAIN] epoch=1, iter=510/40000, loss=0.6315, lr=0.009885, batch_cost=0.9283, reader_cost=0.0001 | ETA 10:10:58 2020-12-16 22:57:14 [INFO] [TRAIN] epoch=1, iter=520/40000, loss=0.9266, lr=0.009883, batch_cost=0.9029, reader_cost=0.0001 | ETA 09:54:07 2020-12-16 22:57:24 [INFO] [TRAIN] epoch=1, iter=530/40000, loss=1.4083, lr=0.009881, batch_cost=0.9688, reader_cost=0.0013 | ETA 10:37:16 2020-12-16 22:57:34 [INFO] [TRAIN] epoch=1, iter=540/40000, loss=1.0251, lr=0.009879, batch_cost=1.0001, reader_cost=0.0002 | ETA 10:57:45 2020-12-16 22:57:43 [INFO] [TRAIN] epoch=1, iter=550/40000, loss=0.9010, lr=0.009876, batch_cost=0.9352, reader_cost=0.0001 | ETA 10:14:51 2020-12-16 22:57:52 [INFO] [TRAIN] epoch=1, iter=560/40000, loss=0.9976, lr=0.009874, batch_cost=0.8867, reader_cost=0.0002 | ETA 09:42:51 2020-12-16 22:58:01 [INFO] [TRAIN] epoch=1, iter=570/40000, loss=0.7239, lr=0.009872, batch_cost=0.8627, reader_cost=0.0001 | ETA 09:26:57 2020-12-16 22:58:10 [INFO] [TRAIN] epoch=1, iter=580/40000, loss=0.8888, lr=0.009870, batch_cost=0.9576, reader_cost=0.0007 | ETA 10:29:08 2020-12-16 22:58:20 [INFO] [TRAIN] epoch=1, iter=590/40000, loss=0.9560, lr=0.009867, batch_cost=0.9440, reader_cost=0.0002 | ETA 10:20:04 2020-12-16 22:58:29 [INFO] [TRAIN] epoch=1, iter=600/40000, loss=0.7370, lr=0.009865, batch_cost=0.9781, reader_cost=0.0026 | ETA 10:42:18 2020-12-16 22:58:39 [INFO] [TRAIN] epoch=1, iter=610/40000, loss=0.6876, lr=0.009863, batch_cost=0.9220, reader_cost=0.0014 | ETA 10:05:16 2020-12-16 22:58:48 [INFO] [TRAIN] epoch=1, iter=620/40000, loss=0.7470, lr=0.009861, batch_cost=0.9140, reader_cost=0.0005 | ETA 09:59:51 2020-12-16 22:58:57 [INFO] [TRAIN] epoch=1, iter=630/40000, loss=0.7057, lr=0.009858, batch_cost=0.9143, reader_cost=0.0001 | ETA 09:59:56 2020-12-16 22:59:06 [INFO] [TRAIN] epoch=1, iter=640/40000, loss=0.9915, lr=0.009856, batch_cost=0.8621, reader_cost=0.0014 | ETA 09:25:30 2020-12-16 22:59:17 [INFO] [TRAIN] epoch=1, iter=650/40000, loss=0.7007, lr=0.009854, batch_cost=1.1052, reader_cost=0.0002 | ETA 12:04:51 2020-12-16 22:59:25 [INFO] [TRAIN] epoch=1, iter=660/40000, loss=0.7443, lr=0.009852, batch_cost=0.8128, reader_cost=0.0014 | ETA 08:52:55 2020-12-16 22:59:34 [INFO] [TRAIN] epoch=2, iter=670/40000, loss=0.9529, lr=0.009849, batch_cost=0.8790, reader_cost=0.0239 | ETA 09:36:10 2020-12-16 22:59:44 [INFO] [TRAIN] epoch=2, iter=680/40000, loss=0.6841, lr=0.009847, batch_cost=1.0043, reader_cost=0.0001 | ETA 10:58:09 2020-12-16 22:59:53 [INFO] [TRAIN] epoch=2, iter=690/40000, loss=0.8539, lr=0.009845, batch_cost=0.9800, reader_cost=0.0001 | ETA 10:42:05 2020-12-16 23:00:02 [INFO] [TRAIN] epoch=2, iter=700/40000, loss=0.6769, lr=0.009843, batch_cost=0.8501, reader_cost=0.0001 | ETA 09:16:50 2020-12-16 23:00:11 [INFO] [TRAIN] epoch=2, iter=710/40000, loss=0.7780, lr=0.009840, batch_cost=0.8586, reader_cost=0.0002 | ETA 09:22:12 2020-12-16 23:00:20 [INFO] [TRAIN] epoch=2, iter=720/40000, loss=0.5833, lr=0.009838, batch_cost=0.9310, reader_cost=0.0001 | ETA 10:09:31 2020-12-16 23:00:29 [INFO] [TRAIN] epoch=2, iter=730/40000, loss=0.6377, lr=0.009836, batch_cost=0.9386, reader_cost=0.0016 | ETA 10:14:17 2020-12-16 23:00:39 [INFO] [TRAIN] epoch=2, iter=740/40000, loss=0.7610, lr=0.009834, batch_cost=0.9796, reader_cost=0.0001 | ETA 10:41:00 2020-12-16 23:00:48 [INFO] [TRAIN] epoch=2, iter=750/40000, loss=0.5831, lr=0.009831, batch_cost=0.9193, reader_cost=0.0002 | ETA 10:01:22 2020-12-16 23:00:58 [INFO] [TRAIN] epoch=2, iter=760/40000, loss=0.8088, lr=0.009829, batch_cost=0.9627, reader_cost=0.0002 | ETA 10:29:34 2020-12-16 23:01:06 [INFO] [TRAIN] epoch=2, iter=770/40000, loss=0.7483, lr=0.009827, batch_cost=0.8632, reader_cost=0.0001 | ETA 09:24:24 2020-12-16 23:01:16 [INFO] [TRAIN] epoch=2, iter=780/40000, loss=0.6079, lr=0.009825, batch_cost=0.9468, reader_cost=0.0001 | ETA 10:18:53 2020-12-16 23:01:24 [INFO] [TRAIN] epoch=2, iter=790/40000, loss=0.7014, lr=0.009822, batch_cost=0.7656, reader_cost=0.0001 | ETA 08:20:21 2020-12-16 23:01:31 [INFO] [TRAIN] epoch=2, iter=800/40000, loss=0.7460, lr=0.009820, batch_cost=0.7187, reader_cost=0.0001 | ETA 07:49:31 2020-12-16 23:01:40 [INFO] [TRAIN] epoch=2, iter=810/40000, loss=0.6883, lr=0.009818, batch_cost=0.9309, reader_cost=0.0001 | ETA 10:08:01 2020-12-16 23:01:50 [INFO] [TRAIN] epoch=2, iter=820/40000, loss=0.6697, lr=0.009816, batch_cost=0.9421, reader_cost=0.0002 | ETA 10:15:10 2020-12-16 23:01:59 [INFO] [TRAIN] epoch=2, iter=830/40000, loss=0.7268, lr=0.009813, batch_cost=0.9806, reader_cost=0.0002 | ETA 10:40:10 2020-12-16 23:02:08 [INFO] [TRAIN] epoch=2, iter=840/40000, loss=0.8298, lr=0.009811, batch_cost=0.8410, reader_cost=0.0001 | ETA 09:08:51 2020-12-16 23:02:16 [INFO] [TRAIN] epoch=2, iter=850/40000, loss=0.7198, lr=0.009809, batch_cost=0.7930, reader_cost=0.0013 | ETA 08:37:25 2020-12-16 23:02:25 [INFO] [TRAIN] epoch=2, iter=860/40000, loss=0.8501, lr=0.009807, batch_cost=0.9498, reader_cost=0.0002 | ETA 10:19:33 2020-12-16 23:02:35 [INFO] [TRAIN] epoch=2, iter=870/40000, loss=0.9966, lr=0.009804, batch_cost=0.9875, reader_cost=0.0002 | ETA 10:44:00 2020-12-16 23:02:45 [INFO] [TRAIN] epoch=2, iter=880/40000, loss=0.8024, lr=0.009802, batch_cost=0.9860, reader_cost=0.0012 | ETA 10:42:50 2020-12-16 23:02:55 [INFO] [TRAIN] epoch=2, iter=890/40000, loss=0.7882, lr=0.009800, batch_cost=1.0040, reader_cost=0.0002 | ETA 10:54:26 2020-12-16 23:03:05 [INFO] [TRAIN] epoch=2, iter=900/40000, loss=0.7095, lr=0.009797, batch_cost=1.0219, reader_cost=0.0014 | ETA 11:05:54 2020-12-16 23:03:15 [INFO] [TRAIN] epoch=2, iter=910/40000, loss=0.8648, lr=0.009795, batch_cost=1.0001, reader_cost=0.0002 | ETA 10:51:32 2020-12-16 23:03:24 [INFO] [TRAIN] epoch=2, iter=920/40000, loss=0.8906, lr=0.009793, batch_cost=0.9077, reader_cost=0.0006 | ETA 09:51:13 2020-12-16 23:03:34 [INFO] [TRAIN] epoch=2, iter=930/40000, loss=0.6558, lr=0.009791, batch_cost=0.9542, reader_cost=0.0001 | ETA 10:21:20 2020-12-16 23:03:42 [INFO] [TRAIN] epoch=2, iter=940/40000, loss=0.6659, lr=0.009788, batch_cost=0.8414, reader_cost=0.0002 | ETA 09:07:45 2020-12-16 23:03:52 [INFO] [TRAIN] epoch=2, iter=950/40000, loss=0.6117, lr=0.009786, batch_cost=0.9707, reader_cost=0.0001 | ETA 10:31:47 2020-12-16 23:04:01 [INFO] [TRAIN] epoch=2, iter=960/40000, loss=0.6854, lr=0.009784, batch_cost=0.9310, reader_cost=0.0002 | ETA 10:05:45 2020-12-16 23:04:10 [INFO] [TRAIN] epoch=2, iter=970/40000, loss=0.7084, lr=0.009782, batch_cost=0.8970, reader_cost=0.0014 | ETA 09:43:31 2020-12-16 23:04:21 [INFO] [TRAIN] epoch=2, iter=980/40000, loss=0.7170, lr=0.009779, batch_cost=1.1051, reader_cost=0.0002 | ETA 11:58:39 2020-12-16 23:04:31 [INFO] [TRAIN] epoch=2, iter=990/40000, loss=0.6795, lr=0.009777, batch_cost=0.9834, reader_cost=0.0002 | ETA 10:39:23 2020-12-16 23:04:40 [INFO] [TRAIN] epoch=2, iter=1000/40000, loss=0.4540, lr=0.009775, batch_cost=0.9170, reader_cost=0.0003 | ETA 09:56:04 2020-12-16 23:04:40 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-16 23:05:29 [INFO] [EVAL] #Images=1449 mIoU=0.6006 Acc=0.9089 Kappa=0.7938 2020-12-16 23:05:29 [INFO] [EVAL] Class IoU: [0.9106 0.8175 0.3047 0.7447 0.428 0.6247 0.8077 0.8104 0.7204 0.3156 0.5309 0.0477 0.6429 0.6384 0.6486 0.7856 0.4328 0.6638 0.4041 0.6999 0.6344] 2020-12-16 23:05:29 [INFO] [EVAL] Class Acc: [0.9401 0.8787 0.3668 0.9438 0.9216 0.8171 0.9676 0.9248 0.8535 0.623 0.8974 0.9185 0.7053 0.704 0.6893 0.8747 0.7148 0.8162 0.7768 0.8109 0.7781] 2020-12-16 23:05:41 [INFO] [EVAL] The model with the best validation mIoU (0.6006) was saved at iter 1000. 2020-12-16 23:05:50 [INFO] [TRAIN] epoch=2, iter=1010/40000, loss=0.9585, lr=0.009773, batch_cost=0.8978, reader_cost=0.0005 | ETA 09:43:24 2020-12-16 23:05:59 [INFO] [TRAIN] epoch=2, iter=1020/40000, loss=0.8385, lr=0.009770, batch_cost=0.9573, reader_cost=0.0002 | ETA 10:21:54 2020-12-16 23:06:08 [INFO] [TRAIN] epoch=2, iter=1030/40000, loss=0.7624, lr=0.009768, batch_cost=0.8167, reader_cost=0.0001 | ETA 08:50:28 2020-12-16 23:06:17 [INFO] [TRAIN] epoch=2, iter=1040/40000, loss=0.7107, lr=0.009766, batch_cost=0.9315, reader_cost=0.0002 | ETA 10:04:51 2020-12-16 23:06:26 [INFO] [TRAIN] epoch=2, iter=1050/40000, loss=0.9192, lr=0.009764, batch_cost=0.9309, reader_cost=0.0002 | ETA 10:04:17 2020-12-16 23:06:37 [INFO] [TRAIN] epoch=2, iter=1060/40000, loss=0.8725, lr=0.009761, batch_cost=1.0398, reader_cost=0.0007 | ETA 11:14:50 2020-12-16 23:06:46 [INFO] [TRAIN] epoch=2, iter=1070/40000, loss=0.7575, lr=0.009759, batch_cost=0.9643, reader_cost=0.0015 | ETA 10:25:41 2020-12-16 23:06:54 [INFO] [TRAIN] epoch=2, iter=1080/40000, loss=0.6050, lr=0.009757, batch_cost=0.7589, reader_cost=0.0001 | ETA 08:12:15 2020-12-16 23:07:02 [INFO] [TRAIN] epoch=2, iter=1090/40000, loss=0.8191, lr=0.009755, batch_cost=0.7981, reader_cost=0.0001 | ETA 08:37:32 2020-12-16 23:07:09 [INFO] [TRAIN] epoch=2, iter=1100/40000, loss=0.6112, lr=0.009752, batch_cost=0.7248, reader_cost=0.0001 | ETA 07:49:55 2020-12-16 23:07:16 [INFO] [TRAIN] epoch=2, iter=1110/40000, loss=0.7197, lr=0.009750, batch_cost=0.7340, reader_cost=0.0001 | ETA 07:55:44 2020-12-16 23:07:24 [INFO] [TRAIN] epoch=2, iter=1120/40000, loss=0.6749, lr=0.009748, batch_cost=0.7994, reader_cost=0.0001 | ETA 08:38:01 2020-12-16 23:07:34 [INFO] [TRAIN] epoch=2, iter=1130/40000, loss=0.8543, lr=0.009746, batch_cost=0.9939, reader_cost=0.0002 | ETA 10:43:52 2020-12-16 23:07:43 [INFO] [TRAIN] epoch=2, iter=1140/40000, loss=0.5445, lr=0.009743, batch_cost=0.9026, reader_cost=0.0014 | ETA 09:44:36 2020-12-16 23:07:52 [INFO] [TRAIN] epoch=2, iter=1150/40000, loss=1.1927, lr=0.009741, batch_cost=0.8818, reader_cost=0.0001 | ETA 09:30:58 2020-12-16 23:08:01 [INFO] [TRAIN] epoch=2, iter=1160/40000, loss=0.7394, lr=0.009739, batch_cost=0.8706, reader_cost=0.0002 | ETA 09:23:33 2020-12-16 23:08:09 [INFO] [TRAIN] epoch=2, iter=1170/40000, loss=0.4213, lr=0.009737, batch_cost=0.8077, reader_cost=0.0013 | ETA 08:42:41 2020-12-16 23:08:18 [INFO] [TRAIN] epoch=2, iter=1180/40000, loss=0.5385, lr=0.009734, batch_cost=0.8550, reader_cost=0.0002 | ETA 09:13:12 2020-12-16 23:08:26 [INFO] [TRAIN] epoch=2, iter=1190/40000, loss=0.5202, lr=0.009732, batch_cost=0.8599, reader_cost=0.0002 | ETA 09:16:12 2020-12-16 23:08:35 [INFO] [TRAIN] epoch=2, iter=1200/40000, loss=0.5503, lr=0.009730, batch_cost=0.9278, reader_cost=0.0001 | ETA 09:59:57 2020-12-16 23:08:44 [INFO] [TRAIN] epoch=2, iter=1210/40000, loss=0.7392, lr=0.009728, batch_cost=0.8833, reader_cost=0.0002 | ETA 09:31:04 2020-12-16 23:08:54 [INFO] [TRAIN] epoch=2, iter=1220/40000, loss=0.7786, lr=0.009725, batch_cost=0.9745, reader_cost=0.0001 | ETA 10:29:52 2020-12-16 23:09:03 [INFO] [TRAIN] epoch=2, iter=1230/40000, loss=0.6151, lr=0.009723, batch_cost=0.9252, reader_cost=0.0014 | ETA 09:57:50 2020-12-16 23:09:12 [INFO] [TRAIN] epoch=2, iter=1240/40000, loss=0.5298, lr=0.009721, batch_cost=0.8884, reader_cost=0.0002 | ETA 09:33:56 2020-12-16 23:09:23 [INFO] [TRAIN] epoch=2, iter=1250/40000, loss=0.6036, lr=0.009719, batch_cost=1.0601, reader_cost=0.0002 | ETA 11:24:40 2020-12-16 23:09:33 [INFO] [TRAIN] epoch=2, iter=1260/40000, loss=0.6414, lr=0.009716, batch_cost=0.9749, reader_cost=0.0002 | ETA 10:29:26 2020-12-16 23:09:41 [INFO] [TRAIN] epoch=2, iter=1270/40000, loss=0.5655, lr=0.009714, batch_cost=0.8902, reader_cost=0.0001 | ETA 09:34:36 2020-12-16 23:09:50 [INFO] [TRAIN] epoch=2, iter=1280/40000, loss=0.9003, lr=0.009712, batch_cost=0.9026, reader_cost=0.0001 | ETA 09:42:29 2020-12-16 23:10:00 [INFO] [TRAIN] epoch=2, iter=1290/40000, loss=0.6525, lr=0.009710, batch_cost=0.9310, reader_cost=0.0002 | ETA 10:00:39 2020-12-16 23:10:09 [INFO] [TRAIN] epoch=2, iter=1300/40000, loss=0.6806, lr=0.009707, batch_cost=0.9260, reader_cost=0.0002 | ETA 09:57:17 2020-12-16 23:10:19 [INFO] [TRAIN] epoch=2, iter=1310/40000, loss=0.6937, lr=0.009705, batch_cost=0.9831, reader_cost=0.0001 | ETA 10:33:57 2020-12-16 23:10:27 [INFO] [TRAIN] epoch=2, iter=1320/40000, loss=0.7771, lr=0.009703, batch_cost=0.8572, reader_cost=0.0002 | ETA 09:12:37 2020-12-16 23:10:37 [INFO] [TRAIN] epoch=3, iter=1330/40000, loss=0.5511, lr=0.009700, batch_cost=1.0032, reader_cost=0.0268 | ETA 10:46:33 2020-12-16 23:10:47 [INFO] [TRAIN] epoch=3, iter=1340/40000, loss=0.8461, lr=0.009698, batch_cost=0.9927, reader_cost=0.0002 | ETA 10:39:38 2020-12-16 23:10:57 [INFO] [TRAIN] epoch=3, iter=1350/40000, loss=0.6095, lr=0.009696, batch_cost=0.9605, reader_cost=0.0013 | ETA 10:18:45 2020-12-16 23:11:06 [INFO] [TRAIN] epoch=3, iter=1360/40000, loss=0.4453, lr=0.009694, batch_cost=0.9349, reader_cost=0.0002 | ETA 10:02:04 2020-12-16 23:11:16 [INFO] [TRAIN] epoch=3, iter=1370/40000, loss=0.5979, lr=0.009691, batch_cost=0.9428, reader_cost=0.0001 | ETA 10:07:01 2020-12-16 23:11:25 [INFO] [TRAIN] epoch=3, iter=1380/40000, loss=0.6048, lr=0.009689, batch_cost=0.9160, reader_cost=0.0026 | ETA 09:49:34 2020-12-16 23:11:34 [INFO] [TRAIN] epoch=3, iter=1390/40000, loss=0.6939, lr=0.009687, batch_cost=0.9151, reader_cost=0.0002 | ETA 09:48:50 2020-12-16 23:11:44 [INFO] [TRAIN] epoch=3, iter=1400/40000, loss=0.7353, lr=0.009685, batch_cost=0.9438, reader_cost=0.0002 | ETA 10:07:11 2020-12-16 23:11:53 [INFO] [TRAIN] epoch=3, iter=1410/40000, loss=0.5166, lr=0.009682, batch_cost=0.9901, reader_cost=0.0002 | ETA 10:36:48 2020-12-16 23:12:02 [INFO] [TRAIN] epoch=3, iter=1420/40000, loss=0.7145, lr=0.009680, batch_cost=0.8660, reader_cost=0.0001 | ETA 09:16:49 2020-12-16 23:12:11 [INFO] [TRAIN] epoch=3, iter=1430/40000, loss=0.6311, lr=0.009678, batch_cost=0.9384, reader_cost=0.0002 | ETA 10:03:13 2020-12-16 23:12:21 [INFO] [TRAIN] epoch=3, iter=1440/40000, loss=0.6666, lr=0.009676, batch_cost=0.9492, reader_cost=0.0001 | ETA 10:10:02 2020-12-16 23:12:31 [INFO] [TRAIN] epoch=3, iter=1450/40000, loss=0.5115, lr=0.009673, batch_cost=0.9873, reader_cost=0.0022 | ETA 10:34:20 2020-12-16 23:12:39 [INFO] [TRAIN] epoch=3, iter=1460/40000, loss=0.7008, lr=0.009671, batch_cost=0.8470, reader_cost=0.0001 | ETA 09:04:04 2020-12-16 23:12:49 [INFO] [TRAIN] epoch=3, iter=1470/40000, loss=0.8482, lr=0.009669, batch_cost=0.9228, reader_cost=0.0001 | ETA 09:52:33 2020-12-16 23:12:56 [INFO] [TRAIN] epoch=3, iter=1480/40000, loss=0.8260, lr=0.009667, batch_cost=0.7921, reader_cost=0.0002 | ETA 08:28:33 2020-12-16 23:13:04 [INFO] [TRAIN] epoch=3, iter=1490/40000, loss=0.6280, lr=0.009664, batch_cost=0.7553, reader_cost=0.0001 | ETA 08:04:47 2020-12-16 23:13:13 [INFO] [TRAIN] epoch=3, iter=1500/40000, loss=0.6162, lr=0.009662, batch_cost=0.8956, reader_cost=0.0002 | ETA 09:34:42 2020-12-16 23:13:21 [INFO] [TRAIN] epoch=3, iter=1510/40000, loss=0.8426, lr=0.009660, batch_cost=0.8206, reader_cost=0.0001 | ETA 08:46:25 2020-12-16 23:13:30 [INFO] [TRAIN] epoch=3, iter=1520/40000, loss=0.6535, lr=0.009658, batch_cost=0.8520, reader_cost=0.0002 | ETA 09:06:26 2020-12-16 23:13:39 [INFO] [TRAIN] epoch=3, iter=1530/40000, loss=0.6893, lr=0.009655, batch_cost=0.9488, reader_cost=0.0003 | ETA 10:08:21 2020-12-16 23:13:50 [INFO] [TRAIN] epoch=3, iter=1540/40000, loss=0.4258, lr=0.009653, batch_cost=1.0319, reader_cost=0.0001 | ETA 11:01:26 2020-12-16 23:13:59 [INFO] [TRAIN] epoch=3, iter=1550/40000, loss=0.4155, lr=0.009651, batch_cost=0.9573, reader_cost=0.0002 | ETA 10:13:27 2020-12-16 23:14:09 [INFO] [TRAIN] epoch=3, iter=1560/40000, loss=0.6648, lr=0.009649, batch_cost=1.0057, reader_cost=0.0002 | ETA 10:44:19 2020-12-16 23:14:19 [INFO] [TRAIN] epoch=3, iter=1570/40000, loss=0.4786, lr=0.009646, batch_cost=0.9525, reader_cost=0.0002 | ETA 10:10:04 2020-12-16 23:14:29 [INFO] [TRAIN] epoch=3, iter=1580/40000, loss=0.5496, lr=0.009644, batch_cost=1.0073, reader_cost=0.0002 | ETA 10:44:58 2020-12-16 23:14:39 [INFO] [TRAIN] epoch=3, iter=1590/40000, loss=0.4330, lr=0.009642, batch_cost=1.0622, reader_cost=0.0002 | ETA 11:19:58 2020-12-16 23:14:49 [INFO] [TRAIN] epoch=3, iter=1600/40000, loss=0.5976, lr=0.009639, batch_cost=0.9733, reader_cost=0.0002 | ETA 10:22:54 2020-12-16 23:14:58 [INFO] [TRAIN] epoch=3, iter=1610/40000, loss=0.5508, lr=0.009637, batch_cost=0.9275, reader_cost=0.0002 | ETA 09:53:28 2020-12-16 23:15:08 [INFO] [TRAIN] epoch=3, iter=1620/40000, loss=0.6866, lr=0.009635, batch_cost=0.9257, reader_cost=0.0001 | ETA 09:52:09 2020-12-16 23:15:17 [INFO] [TRAIN] epoch=3, iter=1630/40000, loss=0.6033, lr=0.009633, batch_cost=0.9754, reader_cost=0.0013 | ETA 10:23:46 2020-12-16 23:15:27 [INFO] [TRAIN] epoch=3, iter=1640/40000, loss=0.4610, lr=0.009630, batch_cost=0.9509, reader_cost=0.0002 | ETA 10:07:57 2020-12-16 23:15:36 [INFO] [TRAIN] epoch=3, iter=1650/40000, loss=0.7849, lr=0.009628, batch_cost=0.9401, reader_cost=0.0001 | ETA 10:00:52 2020-12-16 23:15:47 [INFO] [TRAIN] epoch=3, iter=1660/40000, loss=0.5136, lr=0.009626, batch_cost=1.0339, reader_cost=0.0002 | ETA 11:00:40 2020-12-16 23:15:58 [INFO] [TRAIN] epoch=3, iter=1670/40000, loss=0.7474, lr=0.009624, batch_cost=1.1140, reader_cost=0.0002 | ETA 11:51:39 2020-12-16 23:16:07 [INFO] [TRAIN] epoch=3, iter=1680/40000, loss=0.5494, lr=0.009621, batch_cost=0.8793, reader_cost=0.0001 | ETA 09:21:35 2020-12-16 23:16:16 [INFO] [TRAIN] epoch=3, iter=1690/40000, loss=0.7691, lr=0.009619, batch_cost=0.9322, reader_cost=0.0003 | ETA 09:55:12 2020-12-16 23:16:26 [INFO] [TRAIN] epoch=3, iter=1700/40000, loss=0.4894, lr=0.009617, batch_cost=0.9900, reader_cost=0.0013 | ETA 10:31:58 2020-12-16 23:16:35 [INFO] [TRAIN] epoch=3, iter=1710/40000, loss=0.5933, lr=0.009615, batch_cost=0.8820, reader_cost=0.0002 | ETA 09:22:51 2020-12-16 23:16:43 [INFO] [TRAIN] epoch=3, iter=1720/40000, loss=0.6520, lr=0.009612, batch_cost=0.8684, reader_cost=0.0002 | ETA 09:14:02 2020-12-16 23:16:53 [INFO] [TRAIN] epoch=3, iter=1730/40000, loss=0.5942, lr=0.009610, batch_cost=0.9394, reader_cost=0.0001 | ETA 09:59:11 2020-12-16 23:17:01 [INFO] [TRAIN] epoch=3, iter=1740/40000, loss=0.6526, lr=0.009608, batch_cost=0.8565, reader_cost=0.0001 | ETA 09:06:10 2020-12-16 23:17:11 [INFO] [TRAIN] epoch=3, iter=1750/40000, loss=0.8391, lr=0.009606, batch_cost=0.9536, reader_cost=0.0001 | ETA 10:07:54 2020-12-16 23:17:20 [INFO] [TRAIN] epoch=3, iter=1760/40000, loss=0.5736, lr=0.009603, batch_cost=0.9204, reader_cost=0.0002 | ETA 09:46:34 2020-12-16 23:17:29 [INFO] [TRAIN] epoch=3, iter=1770/40000, loss=0.6411, lr=0.009601, batch_cost=0.8958, reader_cost=0.0002 | ETA 09:30:47 2020-12-16 23:17:38 [INFO] [TRAIN] epoch=3, iter=1780/40000, loss=0.6863, lr=0.009599, batch_cost=0.8621, reader_cost=0.0001 | ETA 09:09:10 2020-12-16 23:17:47 [INFO] [TRAIN] epoch=3, iter=1790/40000, loss=0.7166, lr=0.009597, batch_cost=0.9245, reader_cost=0.0001 | ETA 09:48:43 2020-12-16 23:17:56 [INFO] [TRAIN] epoch=3, iter=1800/40000, loss=0.7240, lr=0.009594, batch_cost=0.8829, reader_cost=0.0002 | ETA 09:22:08 2020-12-16 23:18:05 [INFO] [TRAIN] epoch=3, iter=1810/40000, loss=0.5126, lr=0.009592, batch_cost=0.8929, reader_cost=0.0014 | ETA 09:28:19 2020-12-16 23:18:13 [INFO] [TRAIN] epoch=3, iter=1820/40000, loss=0.5056, lr=0.009590, batch_cost=0.8789, reader_cost=0.0002 | ETA 09:19:17 2020-12-16 23:18:24 [INFO] [TRAIN] epoch=3, iter=1830/40000, loss=0.8439, lr=0.009588, batch_cost=1.0387, reader_cost=0.0002 | ETA 11:00:45 2020-12-16 23:18:33 [INFO] [TRAIN] epoch=3, iter=1840/40000, loss=0.5671, lr=0.009585, batch_cost=0.8962, reader_cost=0.0012 | ETA 09:29:57 2020-12-16 23:18:41 [INFO] [TRAIN] epoch=3, iter=1850/40000, loss=0.6702, lr=0.009583, batch_cost=0.8416, reader_cost=0.0001 | ETA 08:55:06 2020-12-16 23:18:48 [INFO] [TRAIN] epoch=3, iter=1860/40000, loss=0.4682, lr=0.009581, batch_cost=0.7318, reader_cost=0.0001 | ETA 07:45:10 2020-12-16 23:18:56 [INFO] [TRAIN] epoch=3, iter=1870/40000, loss=0.6898, lr=0.009578, batch_cost=0.7233, reader_cost=0.0001 | ETA 07:39:41 2020-12-16 23:19:05 [INFO] [TRAIN] epoch=3, iter=1880/40000, loss=0.5389, lr=0.009576, batch_cost=0.9643, reader_cost=0.0001 | ETA 10:12:38 2020-12-16 23:19:15 [INFO] [TRAIN] epoch=3, iter=1890/40000, loss=0.5168, lr=0.009574, batch_cost=0.9731, reader_cost=0.0014 | ETA 10:18:03 2020-12-16 23:19:24 [INFO] [TRAIN] epoch=3, iter=1900/40000, loss=0.4682, lr=0.009572, batch_cost=0.9320, reader_cost=0.0001 | ETA 09:51:48 2020-12-16 23:19:33 [INFO] [TRAIN] epoch=3, iter=1910/40000, loss=0.5864, lr=0.009569, batch_cost=0.9083, reader_cost=0.0003 | ETA 09:36:35 2020-12-16 23:19:42 [INFO] [TRAIN] epoch=3, iter=1920/40000, loss=0.6355, lr=0.009567, batch_cost=0.8391, reader_cost=0.0001 | ETA 08:52:32 2020-12-16 23:19:51 [INFO] [TRAIN] epoch=3, iter=1930/40000, loss=0.4518, lr=0.009565, batch_cost=0.9171, reader_cost=0.0001 | ETA 09:41:53 2020-12-16 23:20:00 [INFO] [TRAIN] epoch=3, iter=1940/40000, loss=0.5187, lr=0.009563, batch_cost=0.9180, reader_cost=0.0002 | ETA 09:42:18 2020-12-16 23:20:10 [INFO] [TRAIN] epoch=3, iter=1950/40000, loss=0.3585, lr=0.009560, batch_cost=0.9935, reader_cost=0.0001 | ETA 10:30:02 2020-12-16 23:20:20 [INFO] [TRAIN] epoch=3, iter=1960/40000, loss=0.5764, lr=0.009558, batch_cost=0.9784, reader_cost=0.0001 | ETA 10:20:19 2020-12-16 23:20:29 [INFO] [TRAIN] epoch=3, iter=1970/40000, loss=0.8067, lr=0.009556, batch_cost=0.9050, reader_cost=0.0003 | ETA 09:33:38 2020-12-16 23:20:38 [INFO] [TRAIN] epoch=3, iter=1980/40000, loss=0.5448, lr=0.009554, batch_cost=0.8908, reader_cost=0.0002 | ETA 09:24:29 2020-12-16 23:20:47 [INFO] [TRAIN] epoch=4, iter=1990/40000, loss=0.8852, lr=0.009551, batch_cost=0.9223, reader_cost=0.0296 | ETA 09:44:15 2020-12-16 23:20:57 [INFO] [TRAIN] epoch=4, iter=2000/40000, loss=0.5152, lr=0.009549, batch_cost=0.9742, reader_cost=0.0002 | ETA 10:16:58 2020-12-16 23:20:57 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-16 23:21:48 [INFO] [EVAL] #Images=1449 mIoU=0.6444 Acc=0.9193 Kappa=0.8187 2020-12-16 23:21:48 [INFO] [EVAL] Class IoU: [0.9207 0.8649 0.3528 0.7723 0.5709 0.7145 0.8808 0.7986 0.8428 0.2899 0.6199 0.285 0.6945 0.7204 0.6956 0.8328 0.505 0.6868 0.1752 0.7414 0.5684] 2020-12-16 23:21:48 [INFO] [EVAL] Class Acc: [0.9485 0.9181 0.4163 0.9632 0.6533 0.8266 0.9572 0.9178 0.8714 0.3747 0.8457 0.8954 0.7431 0.8882 0.8673 0.926 0.6553 0.9604 0.8971 0.9557 0.6369] 2020-12-16 23:22:07 [INFO] [EVAL] The model with the best validation mIoU (0.6444) was saved at iter 2000. 2020-12-16 23:22:16 [INFO] [TRAIN] epoch=4, iter=2010/40000, loss=0.6300, lr=0.009547, batch_cost=0.9437, reader_cost=0.0001 | ETA 09:57:32 2020-12-16 23:22:27 [INFO] [TRAIN] epoch=4, iter=2020/40000, loss=0.3921, lr=0.009545, batch_cost=1.0207, reader_cost=0.0006 | ETA 10:46:04 2020-12-16 23:22:36 [INFO] [TRAIN] epoch=4, iter=2030/40000, loss=0.8174, lr=0.009542, batch_cost=0.9524, reader_cost=0.0001 | ETA 10:02:42 2020-12-16 23:22:46 [INFO] [TRAIN] epoch=4, iter=2040/40000, loss=0.6278, lr=0.009540, batch_cost=1.0142, reader_cost=0.0001 | ETA 10:41:37 2020-12-16 23:22:56 [INFO] [TRAIN] epoch=4, iter=2050/40000, loss=0.6313, lr=0.009538, batch_cost=0.9896, reader_cost=0.0002 | ETA 10:25:55 2020-12-16 23:23:06 [INFO] [TRAIN] epoch=4, iter=2060/40000, loss=0.6261, lr=0.009536, batch_cost=0.9725, reader_cost=0.0001 | ETA 10:14:56 2020-12-16 23:23:15 [INFO] [TRAIN] epoch=4, iter=2070/40000, loss=0.8160, lr=0.009533, batch_cost=0.8896, reader_cost=0.0001 | ETA 09:22:24 2020-12-16 23:23:24 [INFO] [TRAIN] epoch=4, iter=2080/40000, loss=1.0335, lr=0.009531, batch_cost=0.8698, reader_cost=0.0002 | ETA 09:09:44 2020-12-16 23:23:33 [INFO] [TRAIN] epoch=4, iter=2090/40000, loss=0.4693, lr=0.009529, batch_cost=0.9245, reader_cost=0.0002 | ETA 09:44:08 2020-12-16 23:23:42 [INFO] [TRAIN] epoch=4, iter=2100/40000, loss=0.4770, lr=0.009526, batch_cost=0.9464, reader_cost=0.0012 | ETA 09:57:46 2020-12-16 23:23:52 [INFO] [TRAIN] epoch=4, iter=2110/40000, loss=0.8355, lr=0.009524, batch_cost=0.9893, reader_cost=0.0002 | ETA 10:24:45 2020-12-16 23:24:00 [INFO] [TRAIN] epoch=4, iter=2120/40000, loss=0.5539, lr=0.009522, batch_cost=0.8168, reader_cost=0.0001 | ETA 08:35:40 2020-12-16 23:24:10 [INFO] [TRAIN] epoch=4, iter=2130/40000, loss=0.6978, lr=0.009520, batch_cost=0.9170, reader_cost=0.0002 | ETA 09:38:45 2020-12-16 23:24:19 [INFO] [TRAIN] epoch=4, iter=2140/40000, loss=0.8936, lr=0.009517, batch_cost=0.9334, reader_cost=0.0002 | ETA 09:48:58 2020-12-16 23:24:27 [INFO] [TRAIN] epoch=4, iter=2150/40000, loss=0.4949, lr=0.009515, batch_cost=0.8491, reader_cost=0.0001 | ETA 08:55:37 2020-12-16 23:24:35 [INFO] [TRAIN] epoch=4, iter=2160/40000, loss=0.5650, lr=0.009513, batch_cost=0.7723, reader_cost=0.0001 | ETA 08:07:05 2020-12-16 23:24:42 [INFO] [TRAIN] epoch=4, iter=2170/40000, loss=0.5592, lr=0.009511, batch_cost=0.7262, reader_cost=0.0001 | ETA 07:37:53 2020-12-16 23:24:50 [INFO] [TRAIN] epoch=4, iter=2180/40000, loss=0.4928, lr=0.009508, batch_cost=0.7544, reader_cost=0.0001 | ETA 07:55:31 2020-12-16 23:25:00 [INFO] [TRAIN] epoch=4, iter=2190/40000, loss=0.5787, lr=0.009506, batch_cost=0.9820, reader_cost=0.0002 | ETA 10:18:48 2020-12-16 23:25:10 [INFO] [TRAIN] epoch=4, iter=2200/40000, loss=0.7127, lr=0.009504, batch_cost=1.0366, reader_cost=0.0012 | ETA 10:53:03 2020-12-16 23:25:20 [INFO] [TRAIN] epoch=4, iter=2210/40000, loss=0.4156, lr=0.009502, batch_cost=0.9503, reader_cost=0.0002 | ETA 09:58:31 2020-12-16 23:25:29 [INFO] [TRAIN] epoch=4, iter=2220/40000, loss=0.7704, lr=0.009499, batch_cost=0.9238, reader_cost=0.0002 | ETA 09:41:42 2020-12-16 23:25:37 [INFO] [TRAIN] epoch=4, iter=2230/40000, loss=0.5107, lr=0.009497, batch_cost=0.8495, reader_cost=0.0002 | ETA 08:54:46 2020-12-16 23:25:47 [INFO] [TRAIN] epoch=4, iter=2240/40000, loss=0.5744, lr=0.009495, batch_cost=0.9213, reader_cost=0.0002 | ETA 09:39:46 2020-12-16 23:25:56 [INFO] [TRAIN] epoch=4, iter=2250/40000, loss=0.6464, lr=0.009493, batch_cost=0.9754, reader_cost=0.0001 | ETA 10:13:42 2020-12-16 23:26:05 [INFO] [TRAIN] epoch=4, iter=2260/40000, loss=0.5235, lr=0.009490, batch_cost=0.8571, reader_cost=0.0001 | ETA 08:59:08 2020-12-16 23:26:13 [INFO] [TRAIN] epoch=4, iter=2270/40000, loss=0.5373, lr=0.009488, batch_cost=0.8247, reader_cost=0.0001 | ETA 08:38:34 2020-12-16 23:26:21 [INFO] [TRAIN] epoch=4, iter=2280/40000, loss=0.5536, lr=0.009486, batch_cost=0.8047, reader_cost=0.0001 | ETA 08:25:55 2020-12-16 23:26:29 [INFO] [TRAIN] epoch=4, iter=2290/40000, loss=0.6550, lr=0.009483, batch_cost=0.7698, reader_cost=0.0001 | ETA 08:03:48 2020-12-16 23:26:37 [INFO] [TRAIN] epoch=4, iter=2300/40000, loss=0.3565, lr=0.009481, batch_cost=0.8021, reader_cost=0.0001 | ETA 08:24:00 2020-12-16 23:26:45 [INFO] [TRAIN] epoch=4, iter=2310/40000, loss=0.8432, lr=0.009479, batch_cost=0.8065, reader_cost=0.0014 | ETA 08:26:35 2020-12-16 23:26:55 [INFO] [TRAIN] epoch=4, iter=2320/40000, loss=0.6797, lr=0.009477, batch_cost=0.9717, reader_cost=0.0001 | ETA 10:10:14 2020-12-16 23:27:04 [INFO] [TRAIN] epoch=4, iter=2330/40000, loss=0.3765, lr=0.009474, batch_cost=0.9488, reader_cost=0.0004 | ETA 09:55:41 2020-12-16 23:27:14 [INFO] [TRAIN] epoch=4, iter=2340/40000, loss=0.5431, lr=0.009472, batch_cost=0.9780, reader_cost=0.0001 | ETA 10:13:52 2020-12-16 23:27:23 [INFO] [TRAIN] epoch=4, iter=2350/40000, loss=0.5581, lr=0.009470, batch_cost=0.9072, reader_cost=0.0002 | ETA 09:29:15 2020-12-16 23:27:33 [INFO] [TRAIN] epoch=4, iter=2360/40000, loss=0.5269, lr=0.009468, batch_cost=0.9556, reader_cost=0.0002 | ETA 09:59:29 2020-12-16 23:27:42 [INFO] [TRAIN] epoch=4, iter=2370/40000, loss=0.5998, lr=0.009465, batch_cost=0.9044, reader_cost=0.0002 | ETA 09:27:13 2020-12-16 23:27:51 [INFO] [TRAIN] epoch=4, iter=2380/40000, loss=0.4672, lr=0.009463, batch_cost=0.9782, reader_cost=0.0002 | ETA 10:13:19 2020-12-16 23:28:01 [INFO] [TRAIN] epoch=4, iter=2390/40000, loss=0.4570, lr=0.009461, batch_cost=0.9684, reader_cost=0.0001 | ETA 10:07:00 2020-12-16 23:28:10 [INFO] [TRAIN] epoch=4, iter=2400/40000, loss=0.4841, lr=0.009459, batch_cost=0.9341, reader_cost=0.0002 | ETA 09:45:23 2020-12-16 23:28:20 [INFO] [TRAIN] epoch=4, iter=2410/40000, loss=0.6326, lr=0.009456, batch_cost=0.9973, reader_cost=0.0019 | ETA 10:24:48 2020-12-16 23:28:29 [INFO] [TRAIN] epoch=4, iter=2420/40000, loss=0.4788, lr=0.009454, batch_cost=0.8942, reader_cost=0.0013 | ETA 09:20:02 2020-12-16 23:28:38 [INFO] [TRAIN] epoch=4, iter=2430/40000, loss=0.6123, lr=0.009452, batch_cost=0.9045, reader_cost=0.0001 | ETA 09:26:23 2020-12-16 23:28:48 [INFO] [TRAIN] epoch=4, iter=2440/40000, loss=0.4831, lr=0.009450, batch_cost=0.9410, reader_cost=0.0001 | ETA 09:49:02 2020-12-16 23:28:57 [INFO] [TRAIN] epoch=4, iter=2450/40000, loss=0.4575, lr=0.009447, batch_cost=0.9507, reader_cost=0.0001 | ETA 09:54:56 2020-12-16 23:29:06 [INFO] [TRAIN] epoch=4, iter=2460/40000, loss=0.8017, lr=0.009445, batch_cost=0.8790, reader_cost=0.0014 | ETA 09:09:57 2020-12-16 23:29:16 [INFO] [TRAIN] epoch=4, iter=2470/40000, loss=0.5345, lr=0.009443, batch_cost=0.9816, reader_cost=0.0002 | ETA 10:13:58 2020-12-16 23:29:26 [INFO] [TRAIN] epoch=4, iter=2480/40000, loss=0.4748, lr=0.009440, batch_cost=0.9853, reader_cost=0.0005 | ETA 10:16:06 2020-12-16 23:29:36 [INFO] [TRAIN] epoch=4, iter=2490/40000, loss=0.4916, lr=0.009438, batch_cost=1.0379, reader_cost=0.0002 | ETA 10:48:50 2020-12-16 23:29:46 [INFO] [TRAIN] epoch=4, iter=2500/40000, loss=0.4598, lr=0.009436, batch_cost=1.0055, reader_cost=0.0001 | ETA 10:28:27 2020-12-16 23:29:56 [INFO] [TRAIN] epoch=4, iter=2510/40000, loss=0.4482, lr=0.009434, batch_cost=0.9543, reader_cost=0.0002 | ETA 09:56:15 2020-12-16 23:30:05 [INFO] [TRAIN] epoch=4, iter=2520/40000, loss=0.5788, lr=0.009431, batch_cost=0.8955, reader_cost=0.0002 | ETA 09:19:23 2020-12-16 23:30:14 [INFO] [TRAIN] epoch=4, iter=2530/40000, loss=0.4591, lr=0.009429, batch_cost=0.9084, reader_cost=0.0013 | ETA 09:27:16 2020-12-16 23:30:22 [INFO] [TRAIN] epoch=4, iter=2540/40000, loss=0.6868, lr=0.009427, batch_cost=0.8583, reader_cost=0.0006 | ETA 08:55:52 2020-12-16 23:30:32 [INFO] [TRAIN] epoch=4, iter=2550/40000, loss=0.6130, lr=0.009425, batch_cost=0.9382, reader_cost=0.0011 | ETA 09:45:33 2020-12-16 23:30:42 [INFO] [TRAIN] epoch=4, iter=2560/40000, loss=0.5054, lr=0.009422, batch_cost=0.9836, reader_cost=0.0002 | ETA 10:13:46 2020-12-16 23:30:50 [INFO] [TRAIN] epoch=4, iter=2570/40000, loss=0.5680, lr=0.009420, batch_cost=0.8290, reader_cost=0.0001 | ETA 08:37:08 2020-12-16 23:30:57 [INFO] [TRAIN] epoch=4, iter=2580/40000, loss=0.5276, lr=0.009418, batch_cost=0.7427, reader_cost=0.0001 | ETA 07:43:12 2020-12-16 23:31:05 [INFO] [TRAIN] epoch=4, iter=2590/40000, loss=0.6177, lr=0.009416, batch_cost=0.8141, reader_cost=0.0001 | ETA 08:27:35 2020-12-16 23:31:13 [INFO] [TRAIN] epoch=4, iter=2600/40000, loss=0.4112, lr=0.009413, batch_cost=0.7849, reader_cost=0.0001 | ETA 08:09:15 2020-12-16 23:31:22 [INFO] [TRAIN] epoch=4, iter=2610/40000, loss=0.5782, lr=0.009411, batch_cost=0.8571, reader_cost=0.0001 | ETA 08:54:08 2020-12-16 23:31:30 [INFO] [TRAIN] epoch=4, iter=2620/40000, loss=0.4554, lr=0.009409, batch_cost=0.8343, reader_cost=0.0002 | ETA 08:39:47 2020-12-16 23:31:40 [INFO] [TRAIN] epoch=4, iter=2630/40000, loss=0.5388, lr=0.009406, batch_cost=0.9774, reader_cost=0.0002 | ETA 10:08:45 2020-12-16 23:31:48 [INFO] [TRAIN] epoch=4, iter=2640/40000, loss=0.5001, lr=0.009404, batch_cost=0.8468, reader_cost=0.0001 | ETA 08:47:17 2020-12-16 23:31:57 [INFO] [TRAIN] epoch=5, iter=2650/40000, loss=0.5755, lr=0.009402, batch_cost=0.8833, reader_cost=0.0371 | ETA 09:09:52 2020-12-16 23:32:07 [INFO] [TRAIN] epoch=5, iter=2660/40000, loss=0.3832, lr=0.009400, batch_cost=0.9870, reader_cost=0.0002 | ETA 10:14:15 2020-12-16 23:32:17 [INFO] [TRAIN] epoch=5, iter=2670/40000, loss=0.6164, lr=0.009397, batch_cost=1.0151, reader_cost=0.0014 | ETA 10:31:32 2020-12-16 23:32:26 [INFO] [TRAIN] epoch=5, iter=2680/40000, loss=0.4179, lr=0.009395, batch_cost=0.8496, reader_cost=0.0001 | ETA 08:48:27 2020-12-16 23:32:35 [INFO] [TRAIN] epoch=5, iter=2690/40000, loss=0.5553, lr=0.009393, batch_cost=0.9273, reader_cost=0.0002 | ETA 09:36:35 2020-12-16 23:32:44 [INFO] [TRAIN] epoch=5, iter=2700/40000, loss=0.6341, lr=0.009391, batch_cost=0.8873, reader_cost=0.0001 | ETA 09:11:34 2020-12-16 23:32:53 [INFO] [TRAIN] epoch=5, iter=2710/40000, loss=0.4021, lr=0.009388, batch_cost=0.8897, reader_cost=0.0001 | ETA 09:12:57 2020-12-16 23:33:03 [INFO] [TRAIN] epoch=5, iter=2720/40000, loss=0.4591, lr=0.009386, batch_cost=0.9854, reader_cost=0.0002 | ETA 10:12:17 2020-12-16 23:33:13 [INFO] [TRAIN] epoch=5, iter=2730/40000, loss=0.3981, lr=0.009384, batch_cost=0.9902, reader_cost=0.0002 | ETA 10:15:03 2020-12-16 23:33:22 [INFO] [TRAIN] epoch=5, iter=2740/40000, loss=0.7146, lr=0.009382, batch_cost=0.9314, reader_cost=0.0001 | ETA 09:38:23 2020-12-16 23:33:31 [INFO] [TRAIN] epoch=5, iter=2750/40000, loss=0.7777, lr=0.009379, batch_cost=0.8978, reader_cost=0.0001 | ETA 09:17:24 2020-12-16 23:33:41 [INFO] [TRAIN] epoch=5, iter=2760/40000, loss=0.4921, lr=0.009377, batch_cost=0.9704, reader_cost=0.0001 | ETA 10:02:16 2020-12-16 23:33:50 [INFO] [TRAIN] epoch=5, iter=2770/40000, loss=0.6828, lr=0.009375, batch_cost=0.9449, reader_cost=0.0001 | ETA 09:46:20 2020-12-16 23:33:59 [INFO] [TRAIN] epoch=5, iter=2780/40000, loss=0.5469, lr=0.009372, batch_cost=0.8858, reader_cost=0.0002 | ETA 09:09:29 2020-12-16 23:34:07 [INFO] [TRAIN] epoch=5, iter=2790/40000, loss=0.3734, lr=0.009370, batch_cost=0.8467, reader_cost=0.0001 | ETA 08:45:04 2020-12-16 23:34:16 [INFO] [TRAIN] epoch=5, iter=2800/40000, loss=0.5713, lr=0.009368, batch_cost=0.8721, reader_cost=0.0002 | ETA 09:00:42 2020-12-16 23:34:25 [INFO] [TRAIN] epoch=5, iter=2810/40000, loss=0.4448, lr=0.009366, batch_cost=0.9155, reader_cost=0.0001 | ETA 09:27:26 2020-12-16 23:34:35 [INFO] [TRAIN] epoch=5, iter=2820/40000, loss=0.4139, lr=0.009363, batch_cost=0.9852, reader_cost=0.0011 | ETA 10:10:29 2020-12-16 23:34:45 [INFO] [TRAIN] epoch=5, iter=2830/40000, loss=0.4094, lr=0.009361, batch_cost=0.9405, reader_cost=0.0002 | ETA 09:42:39 2020-12-16 23:34:54 [INFO] [TRAIN] epoch=5, iter=2840/40000, loss=0.4818, lr=0.009359, batch_cost=0.9928, reader_cost=0.0002 | ETA 10:14:54 2020-12-16 23:35:03 [INFO] [TRAIN] epoch=5, iter=2850/40000, loss=0.4913, lr=0.009357, batch_cost=0.8507, reader_cost=0.0001 | ETA 08:46:44 2020-12-16 23:35:12 [INFO] [TRAIN] epoch=5, iter=2860/40000, loss=0.5183, lr=0.009354, batch_cost=0.9074, reader_cost=0.0001 | ETA 09:21:40 2020-12-16 23:35:21 [INFO] [TRAIN] epoch=5, iter=2870/40000, loss=0.4842, lr=0.009352, batch_cost=0.8923, reader_cost=0.0002 | ETA 09:12:10 2020-12-16 23:35:30 [INFO] [TRAIN] epoch=5, iter=2880/40000, loss=0.6141, lr=0.009350, batch_cost=0.9199, reader_cost=0.0010 | ETA 09:29:06 2020-12-16 23:35:40 [INFO] [TRAIN] epoch=5, iter=2890/40000, loss=0.3945, lr=0.009348, batch_cost=0.9565, reader_cost=0.0001 | ETA 09:51:34 2020-12-16 23:35:49 [INFO] [TRAIN] epoch=5, iter=2900/40000, loss=0.5027, lr=0.009345, batch_cost=0.9360, reader_cost=0.0002 | ETA 09:38:45 2020-12-16 23:35:58 [INFO] [TRAIN] epoch=5, iter=2910/40000, loss=0.3732, lr=0.009343, batch_cost=0.8753, reader_cost=0.0001 | ETA 09:01:06 2020-12-16 23:36:08 [INFO] [TRAIN] epoch=5, iter=2920/40000, loss=0.4687, lr=0.009341, batch_cost=0.9922, reader_cost=0.0003 | ETA 10:13:10 2020-12-16 23:36:17 [INFO] [TRAIN] epoch=5, iter=2930/40000, loss=0.4789, lr=0.009338, batch_cost=0.9544, reader_cost=0.0001 | ETA 09:49:38 2020-12-16 23:36:27 [INFO] [TRAIN] epoch=5, iter=2940/40000, loss=0.5711, lr=0.009336, batch_cost=0.9575, reader_cost=0.0001 | ETA 09:51:24 2020-12-16 23:36:37 [INFO] [TRAIN] epoch=5, iter=2950/40000, loss=0.3725, lr=0.009334, batch_cost=1.0465, reader_cost=0.0010 | ETA 10:46:12 2020-12-16 23:36:46 [INFO] [TRAIN] epoch=5, iter=2960/40000, loss=0.3252, lr=0.009332, batch_cost=0.8845, reader_cost=0.0002 | ETA 09:06:01 2020-12-16 23:36:55 [INFO] [TRAIN] epoch=5, iter=2970/40000, loss=0.3633, lr=0.009329, batch_cost=0.8461, reader_cost=0.0001 | ETA 08:42:10 2020-12-16 23:37:02 [INFO] [TRAIN] epoch=5, iter=2980/40000, loss=0.3773, lr=0.009327, batch_cost=0.7564, reader_cost=0.0001 | ETA 07:46:43 2020-12-16 23:37:10 [INFO] [TRAIN] epoch=5, iter=2990/40000, loss=0.5238, lr=0.009325, batch_cost=0.7784, reader_cost=0.0001 | ETA 08:00:08 2020-12-16 23:37:17 [INFO] [TRAIN] epoch=5, iter=3000/40000, loss=0.4298, lr=0.009323, batch_cost=0.7312, reader_cost=0.0001 | ETA 07:30:54 2020-12-16 23:37:17 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-16 23:38:05 [INFO] [EVAL] #Images=1449 mIoU=0.6695 Acc=0.9273 Kappa=0.8374 2020-12-16 23:38:05 [INFO] [EVAL] Class IoU: [0.9264 0.7986 0.3732 0.6271 0.6555 0.7698 0.8689 0.8414 0.8259 0.3528 0.661 0.3105 0.8051 0.6841 0.7867 0.8434 0.4677 0.6217 0.3425 0.773 0.7233] 2020-12-16 23:38:05 [INFO] [EVAL] Class Acc: [0.953 0.8246 0.3818 0.6474 0.7614 0.8929 0.9283 0.9268 0.9755 0.6602 0.9264 0.8907 0.8672 0.7415 0.9173 0.9155 0.7267 0.9112 0.8266 0.8208 0.8809] 2020-12-16 23:38:18 [INFO] [EVAL] The model with the best validation mIoU (0.6695) was saved at iter 3000. 2020-12-16 23:38:27 [INFO] [TRAIN] epoch=5, iter=3010/40000, loss=0.3221, lr=0.009320, batch_cost=0.8995, reader_cost=0.0001 | ETA 09:14:32 2020-12-16 23:38:36 [INFO] [TRAIN] epoch=5, iter=3020/40000, loss=0.4276, lr=0.009318, batch_cost=0.9078, reader_cost=0.0002 | ETA 09:19:29 2020-12-16 23:38:47 [INFO] [TRAIN] epoch=5, iter=3030/40000, loss=0.4658, lr=0.009316, batch_cost=1.0633, reader_cost=0.0002 | ETA 10:55:10 2020-12-16 23:38:56 [INFO] [TRAIN] epoch=5, iter=3040/40000, loss=0.5119, lr=0.009314, batch_cost=0.9109, reader_cost=0.0007 | ETA 09:21:07 2020-12-16 23:39:04 [INFO] [TRAIN] epoch=5, iter=3050/40000, loss=0.6854, lr=0.009311, batch_cost=0.8608, reader_cost=0.0002 | ETA 08:50:05 2020-12-16 23:39:14 [INFO] [TRAIN] epoch=5, iter=3060/40000, loss=0.5201, lr=0.009309, batch_cost=0.9456, reader_cost=0.0002 | ETA 09:42:11 2020-12-16 23:39:22 [INFO] [TRAIN] epoch=5, iter=3070/40000, loss=0.6318, lr=0.009307, batch_cost=0.8652, reader_cost=0.0001 | ETA 08:52:32 2020-12-16 23:39:32 [INFO] [TRAIN] epoch=5, iter=3080/40000, loss=0.6438, lr=0.009304, batch_cost=0.9415, reader_cost=0.0002 | ETA 09:39:20 2020-12-16 23:39:41 [INFO] [TRAIN] epoch=5, iter=3090/40000, loss=0.5162, lr=0.009302, batch_cost=0.9618, reader_cost=0.0014 | ETA 09:51:39 2020-12-16 23:39:52 [INFO] [TRAIN] epoch=5, iter=3100/40000, loss=0.4199, lr=0.009300, batch_cost=1.0558, reader_cost=0.0002 | ETA 10:49:18 2020-12-16 23:40:01 [INFO] [TRAIN] epoch=5, iter=3110/40000, loss=0.4350, lr=0.009298, batch_cost=0.9495, reader_cost=0.0012 | ETA 09:43:48 2020-12-16 23:40:10 [INFO] [TRAIN] epoch=5, iter=3120/40000, loss=0.4064, lr=0.009295, batch_cost=0.8761, reader_cost=0.0001 | ETA 08:58:32 2020-12-16 23:40:19 [INFO] [TRAIN] epoch=5, iter=3130/40000, loss=0.4377, lr=0.009293, batch_cost=0.8286, reader_cost=0.0001 | ETA 08:29:10 2020-12-16 23:40:27 [INFO] [TRAIN] epoch=5, iter=3140/40000, loss=0.4620, lr=0.009291, batch_cost=0.8628, reader_cost=0.0001 | ETA 08:50:01 2020-12-16 23:40:37 [INFO] [TRAIN] epoch=5, iter=3150/40000, loss=0.6204, lr=0.009289, batch_cost=0.9599, reader_cost=0.0002 | ETA 09:49:30 2020-12-16 23:40:47 [INFO] [TRAIN] epoch=5, iter=3160/40000, loss=0.4033, lr=0.009286, batch_cost=0.9847, reader_cost=0.0002 | ETA 10:04:36 2020-12-16 23:40:56 [INFO] [TRAIN] epoch=5, iter=3170/40000, loss=0.6407, lr=0.009284, batch_cost=0.9482, reader_cost=0.0002 | ETA 09:42:03 2020-12-16 23:41:05 [INFO] [TRAIN] epoch=5, iter=3180/40000, loss=0.6271, lr=0.009282, batch_cost=0.9395, reader_cost=0.0002 | ETA 09:36:33 2020-12-16 23:41:15 [INFO] [TRAIN] epoch=5, iter=3190/40000, loss=0.6484, lr=0.009280, batch_cost=0.9373, reader_cost=0.0002 | ETA 09:35:03 2020-12-16 23:41:24 [INFO] [TRAIN] epoch=5, iter=3200/40000, loss=0.3540, lr=0.009277, batch_cost=0.9404, reader_cost=0.0002 | ETA 09:36:45 2020-12-16 23:41:34 [INFO] [TRAIN] epoch=5, iter=3210/40000, loss=0.6384, lr=0.009275, batch_cost=0.9463, reader_cost=0.0002 | ETA 09:40:13 2020-12-16 23:41:42 [INFO] [TRAIN] epoch=5, iter=3220/40000, loss=0.6598, lr=0.009273, batch_cost=0.8773, reader_cost=0.0012 | ETA 08:57:48 2020-12-16 23:41:52 [INFO] [TRAIN] epoch=5, iter=3230/40000, loss=0.7545, lr=0.009270, batch_cost=0.9527, reader_cost=0.0009 | ETA 09:43:50 2020-12-16 23:42:02 [INFO] [TRAIN] epoch=5, iter=3240/40000, loss=0.5391, lr=0.009268, batch_cost=1.0109, reader_cost=0.0004 | ETA 10:19:21 2020-12-16 23:42:12 [INFO] [TRAIN] epoch=5, iter=3250/40000, loss=0.4324, lr=0.009266, batch_cost=0.9846, reader_cost=0.0001 | ETA 10:03:05 2020-12-16 23:42:22 [INFO] [TRAIN] epoch=5, iter=3260/40000, loss=0.7516, lr=0.009264, batch_cost=0.9645, reader_cost=0.0003 | ETA 09:50:37 2020-12-16 23:42:30 [INFO] [TRAIN] epoch=5, iter=3270/40000, loss=0.4232, lr=0.009261, batch_cost=0.8480, reader_cost=0.0001 | ETA 08:39:08 2020-12-16 23:42:39 [INFO] [TRAIN] epoch=5, iter=3280/40000, loss=0.5796, lr=0.009259, batch_cost=0.9374, reader_cost=0.0001 | ETA 09:33:41 2020-12-16 23:42:48 [INFO] [TRAIN] epoch=5, iter=3290/40000, loss=0.5039, lr=0.009257, batch_cost=0.8560, reader_cost=0.0002 | ETA 08:43:41 2020-12-16 23:42:56 [INFO] [TRAIN] epoch=5, iter=3300/40000, loss=0.5200, lr=0.009255, batch_cost=0.7991, reader_cost=0.0001 | ETA 08:08:47 2020-12-16 23:43:04 [INFO] [TRAIN] epoch=6, iter=3310/40000, loss=0.5270, lr=0.009252, batch_cost=0.7471, reader_cost=0.0221 | ETA 07:36:51 2020-12-16 23:43:11 [INFO] [TRAIN] epoch=6, iter=3320/40000, loss=0.5559, lr=0.009250, batch_cost=0.7576, reader_cost=0.0001 | ETA 07:43:07 2020-12-16 23:43:20 [INFO] [TRAIN] epoch=6, iter=3330/40000, loss=0.3386, lr=0.009248, batch_cost=0.9180, reader_cost=0.0001 | ETA 09:21:02 2020-12-16 23:43:30 [INFO] [TRAIN] epoch=6, iter=3340/40000, loss=0.5450, lr=0.009245, batch_cost=0.9297, reader_cost=0.0002 | ETA 09:28:01 2020-12-16 23:43:38 [INFO] [TRAIN] epoch=6, iter=3350/40000, loss=0.3366, lr=0.009243, batch_cost=0.8726, reader_cost=0.0002 | ETA 08:52:59 2020-12-16 23:43:47 [INFO] [TRAIN] epoch=6, iter=3360/40000, loss=0.4543, lr=0.009241, batch_cost=0.8907, reader_cost=0.0001 | ETA 09:03:53 2020-12-16 23:43:57 [INFO] [TRAIN] epoch=6, iter=3370/40000, loss=0.7528, lr=0.009239, batch_cost=0.9520, reader_cost=0.0002 | ETA 09:41:12 2020-12-16 23:44:07 [INFO] [TRAIN] epoch=6, iter=3380/40000, loss=0.4085, lr=0.009236, batch_cost=1.0035, reader_cost=0.0001 | ETA 10:12:28 2020-12-16 23:44:16 [INFO] [TRAIN] epoch=6, iter=3390/40000, loss=0.4818, lr=0.009234, batch_cost=0.9356, reader_cost=0.0014 | ETA 09:30:51 2020-12-16 23:44:26 [INFO] [TRAIN] epoch=6, iter=3400/40000, loss=0.4083, lr=0.009232, batch_cost=0.9925, reader_cost=0.0002 | ETA 10:05:25 2020-12-16 23:44:35 [INFO] [TRAIN] epoch=6, iter=3410/40000, loss=0.4129, lr=0.009230, batch_cost=0.8965, reader_cost=0.0001 | ETA 09:06:44 2020-12-16 23:44:45 [INFO] [TRAIN] epoch=6, iter=3420/40000, loss=0.2967, lr=0.009227, batch_cost=0.9523, reader_cost=0.0002 | ETA 09:40:34 2020-12-16 23:44:54 [INFO] [TRAIN] epoch=6, iter=3430/40000, loss=0.2534, lr=0.009225, batch_cost=0.9930, reader_cost=0.0001 | ETA 10:05:13 2020-12-16 23:45:04 [INFO] [TRAIN] epoch=6, iter=3440/40000, loss=0.7978, lr=0.009223, batch_cost=0.9724, reader_cost=0.0014 | ETA 09:52:29 2020-12-16 23:45:15 [INFO] [TRAIN] epoch=6, iter=3450/40000, loss=0.3478, lr=0.009221, batch_cost=1.0381, reader_cost=0.0003 | ETA 10:32:24 2020-12-16 23:45:25 [INFO] [TRAIN] epoch=6, iter=3460/40000, loss=0.4858, lr=0.009218, batch_cost=1.0355, reader_cost=0.0002 | ETA 10:30:36 2020-12-16 23:45:35 [INFO] [TRAIN] epoch=6, iter=3470/40000, loss=0.3080, lr=0.009216, batch_cost=0.9772, reader_cost=0.0002 | ETA 09:54:57 2020-12-16 23:45:44 [INFO] [TRAIN] epoch=6, iter=3480/40000, loss=0.3944, lr=0.009214, batch_cost=0.9424, reader_cost=0.0002 | ETA 09:33:36 2020-12-16 23:45:54 [INFO] [TRAIN] epoch=6, iter=3490/40000, loss=0.4731, lr=0.009211, batch_cost=1.0362, reader_cost=0.0002 | ETA 10:30:30 2020-12-16 23:46:04 [INFO] [TRAIN] epoch=6, iter=3500/40000, loss=0.5073, lr=0.009209, batch_cost=0.9100, reader_cost=0.0002 | ETA 09:13:34 2020-12-16 23:46:14 [INFO] [TRAIN] epoch=6, iter=3510/40000, loss=0.5577, lr=0.009207, batch_cost=1.0302, reader_cost=0.0004 | ETA 10:26:30 2020-12-16 23:46:24 [INFO] [TRAIN] epoch=6, iter=3520/40000, loss=0.4027, lr=0.009205, batch_cost=1.0021, reader_cost=0.0007 | ETA 10:09:15 2020-12-16 23:46:32 [INFO] [TRAIN] epoch=6, iter=3530/40000, loss=0.2620, lr=0.009202, batch_cost=0.8516, reader_cost=0.0007 | ETA 08:37:39 2020-12-16 23:46:41 [INFO] [TRAIN] epoch=6, iter=3540/40000, loss=0.6504, lr=0.009200, batch_cost=0.8689, reader_cost=0.0001 | ETA 08:48:01 2020-12-16 23:46:51 [INFO] [TRAIN] epoch=6, iter=3550/40000, loss=0.3167, lr=0.009198, batch_cost=0.9576, reader_cost=0.0001 | ETA 09:41:42 2020-12-16 23:47:00 [INFO] [TRAIN] epoch=6, iter=3560/40000, loss=0.3692, lr=0.009196, batch_cost=0.8857, reader_cost=0.0002 | ETA 08:57:54 2020-12-16 23:47:09 [INFO] [TRAIN] epoch=6, iter=3570/40000, loss=0.4478, lr=0.009193, batch_cost=0.8998, reader_cost=0.0002 | ETA 09:06:19 2020-12-16 23:47:17 [INFO] [TRAIN] epoch=6, iter=3580/40000, loss=0.5397, lr=0.009191, batch_cost=0.8418, reader_cost=0.0001 | ETA 08:30:58 2020-12-16 23:47:26 [INFO] [TRAIN] epoch=6, iter=3590/40000, loss=0.5380, lr=0.009189, batch_cost=0.9085, reader_cost=0.0002 | ETA 09:11:18 2020-12-16 23:47:36 [INFO] [TRAIN] epoch=6, iter=3600/40000, loss=0.3019, lr=0.009186, batch_cost=0.9629, reader_cost=0.0001 | ETA 09:44:09 2020-12-16 23:47:44 [INFO] [TRAIN] epoch=6, iter=3610/40000, loss=0.4388, lr=0.009184, batch_cost=0.8356, reader_cost=0.0001 | ETA 08:26:46 2020-12-16 23:47:53 [INFO] [TRAIN] epoch=6, iter=3620/40000, loss=0.5797, lr=0.009182, batch_cost=0.8912, reader_cost=0.0002 | ETA 09:00:22 2020-12-16 23:48:02 [INFO] [TRAIN] epoch=6, iter=3630/40000, loss=0.6222, lr=0.009180, batch_cost=0.9102, reader_cost=0.0001 | ETA 09:11:44 2020-12-16 23:48:12 [INFO] [TRAIN] epoch=6, iter=3640/40000, loss=0.5924, lr=0.009177, batch_cost=1.0159, reader_cost=0.0001 | ETA 10:15:39 2020-12-16 23:48:22 [INFO] [TRAIN] epoch=6, iter=3650/40000, loss=0.5414, lr=0.009175, batch_cost=1.0107, reader_cost=0.0002 | ETA 10:12:17 2020-12-16 23:48:32 [INFO] [TRAIN] epoch=6, iter=3660/40000, loss=0.4161, lr=0.009173, batch_cost=0.9468, reader_cost=0.0002 | ETA 09:33:25 2020-12-16 23:48:40 [INFO] [TRAIN] epoch=6, iter=3670/40000, loss=0.3192, lr=0.009171, batch_cost=0.8497, reader_cost=0.0018 | ETA 08:34:28 2020-12-16 23:48:48 [INFO] [TRAIN] epoch=6, iter=3680/40000, loss=0.5913, lr=0.009168, batch_cost=0.7864, reader_cost=0.0001 | ETA 07:56:02 2020-12-16 23:48:55 [INFO] [TRAIN] epoch=6, iter=3690/40000, loss=0.3444, lr=0.009166, batch_cost=0.7246, reader_cost=0.0001 | ETA 07:18:29 2020-12-16 23:49:03 [INFO] [TRAIN] epoch=6, iter=3700/40000, loss=0.5455, lr=0.009164, batch_cost=0.7864, reader_cost=0.0001 | ETA 07:55:46 2020-12-16 23:49:14 [INFO] [TRAIN] epoch=6, iter=3710/40000, loss=0.5406, lr=0.009161, batch_cost=1.0527, reader_cost=0.0001 | ETA 10:36:40 2020-12-16 23:49:23 [INFO] [TRAIN] epoch=6, iter=3720/40000, loss=0.5517, lr=0.009159, batch_cost=0.9183, reader_cost=0.0001 | ETA 09:15:14 2020-12-16 23:49:32 [INFO] [TRAIN] epoch=6, iter=3730/40000, loss=0.8109, lr=0.009157, batch_cost=0.8885, reader_cost=0.0002 | ETA 08:57:06 2020-12-16 23:49:41 [INFO] [TRAIN] epoch=6, iter=3740/40000, loss=0.4746, lr=0.009155, batch_cost=0.9047, reader_cost=0.0001 | ETA 09:06:44 2020-12-16 23:49:51 [INFO] [TRAIN] epoch=6, iter=3750/40000, loss=0.4120, lr=0.009152, batch_cost=1.0557, reader_cost=0.0002 | ETA 10:37:47 2020-12-16 23:50:01 [INFO] [TRAIN] epoch=6, iter=3760/40000, loss=0.3339, lr=0.009150, batch_cost=0.9526, reader_cost=0.0001 | ETA 09:35:20 2020-12-16 23:50:11 [INFO] [TRAIN] epoch=6, iter=3770/40000, loss=0.5672, lr=0.009148, batch_cost=0.9971, reader_cost=0.0001 | ETA 10:02:06 2020-12-16 23:50:21 [INFO] [TRAIN] epoch=6, iter=3780/40000, loss=0.6956, lr=0.009146, batch_cost=0.9752, reader_cost=0.0002 | ETA 09:48:40 2020-12-16 23:50:30 [INFO] [TRAIN] epoch=6, iter=3790/40000, loss=0.7070, lr=0.009143, batch_cost=0.9759, reader_cost=0.0002 | ETA 09:48:56 2020-12-16 23:50:40 [INFO] [TRAIN] epoch=6, iter=3800/40000, loss=0.5552, lr=0.009141, batch_cost=0.9716, reader_cost=0.0001 | ETA 09:46:12 2020-12-16 23:50:50 [INFO] [TRAIN] epoch=6, iter=3810/40000, loss=0.5188, lr=0.009139, batch_cost=0.9749, reader_cost=0.0002 | ETA 09:48:02 2020-12-16 23:51:00 [INFO] [TRAIN] epoch=6, iter=3820/40000, loss=0.5837, lr=0.009136, batch_cost=0.9573, reader_cost=0.0001 | ETA 09:37:14 2020-12-16 23:51:09 [INFO] [TRAIN] epoch=6, iter=3830/40000, loss=0.5478, lr=0.009134, batch_cost=0.9272, reader_cost=0.0014 | ETA 09:18:58 2020-12-16 23:51:19 [INFO] [TRAIN] epoch=6, iter=3840/40000, loss=0.3448, lr=0.009132, batch_cost=1.0231, reader_cost=0.0014 | ETA 10:16:37 2020-12-16 23:51:30 [INFO] [TRAIN] epoch=6, iter=3850/40000, loss=0.5085, lr=0.009130, batch_cost=1.0877, reader_cost=0.0002 | ETA 10:55:20 2020-12-16 23:51:39 [INFO] [TRAIN] epoch=6, iter=3860/40000, loss=0.4487, lr=0.009127, batch_cost=0.9182, reader_cost=0.0014 | ETA 09:13:05 2020-12-16 23:51:49 [INFO] [TRAIN] epoch=6, iter=3870/40000, loss=0.5609, lr=0.009125, batch_cost=0.9728, reader_cost=0.0001 | ETA 09:45:45 2020-12-16 23:51:59 [INFO] [TRAIN] epoch=6, iter=3880/40000, loss=0.7173, lr=0.009123, batch_cost=0.9781, reader_cost=0.0006 | ETA 09:48:49 2020-12-16 23:52:09 [INFO] [TRAIN] epoch=6, iter=3890/40000, loss=0.5251, lr=0.009121, batch_cost=1.0354, reader_cost=0.0002 | ETA 10:23:09 2020-12-16 23:52:19 [INFO] [TRAIN] epoch=6, iter=3900/40000, loss=0.5952, lr=0.009118, batch_cost=0.9652, reader_cost=0.0011 | ETA 09:40:43 2020-12-16 23:52:28 [INFO] [TRAIN] epoch=6, iter=3910/40000, loss=0.4241, lr=0.009116, batch_cost=0.8917, reader_cost=0.0002 | ETA 08:56:20 2020-12-16 23:52:37 [INFO] [TRAIN] epoch=6, iter=3920/40000, loss=0.4455, lr=0.009114, batch_cost=0.9019, reader_cost=0.0002 | ETA 09:02:20 2020-12-16 23:52:45 [INFO] [TRAIN] epoch=6, iter=3930/40000, loss=0.4624, lr=0.009111, batch_cost=0.8902, reader_cost=0.0011 | ETA 08:55:08 2020-12-16 23:52:54 [INFO] [TRAIN] epoch=6, iter=3940/40000, loss=0.5903, lr=0.009109, batch_cost=0.8858, reader_cost=0.0001 | ETA 08:52:20 2020-12-16 23:53:04 [INFO] [TRAIN] epoch=6, iter=3950/40000, loss=0.3906, lr=0.009107, batch_cost=0.9922, reader_cost=0.0002 | ETA 09:56:08 2020-12-16 23:53:13 [INFO] [TRAIN] epoch=6, iter=3960/40000, loss=0.7035, lr=0.009105, batch_cost=0.9022, reader_cost=0.0001 | ETA 09:01:54 2020-12-16 23:53:21 [INFO] [TRAIN] epoch=7, iter=3970/40000, loss=0.5595, lr=0.009102, batch_cost=0.7938, reader_cost=0.0224 | ETA 07:56:40 2020-12-16 23:53:31 [INFO] [TRAIN] epoch=7, iter=3980/40000, loss=0.5483, lr=0.009100, batch_cost=0.9394, reader_cost=0.0014 | ETA 09:23:57 2020-12-16 23:53:39 [INFO] [TRAIN] epoch=7, iter=3990/40000, loss=0.3449, lr=0.009098, batch_cost=0.8774, reader_cost=0.0002 | ETA 08:46:33 2020-12-16 23:53:50 [INFO] [TRAIN] epoch=7, iter=4000/40000, loss=0.7698, lr=0.009096, batch_cost=1.0608, reader_cost=0.0002 | ETA 10:36:29 2020-12-16 23:53:50 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-16 23:54:36 [INFO] [EVAL] #Images=1449 mIoU=0.7190 Acc=0.9312 Kappa=0.8507 2020-12-16 23:54:36 [INFO] [EVAL] Class IoU: [0.9268 0.8749 0.3812 0.7707 0.6589 0.7768 0.9152 0.8381 0.8427 0.3314 0.8353 0.5424 0.8042 0.8174 0.7441 0.8358 0.5429 0.8027 0.4996 0.818 0.5399] 2020-12-16 23:54:36 [INFO] [EVAL] Class Acc: [0.9657 0.9448 0.408 0.8207 0.7744 0.8913 0.9769 0.9161 0.9276 0.4058 0.9426 0.6475 0.9218 0.8865 0.7895 0.9473 0.7354 0.9168 0.7326 0.952 0.576 ] 2020-12-16 23:54:49 [INFO] [EVAL] The model with the best validation mIoU (0.7190) was saved at iter 4000. 2020-12-16 23:54:56 [INFO] [TRAIN] epoch=7, iter=4010/40000, loss=0.4147, lr=0.009093, batch_cost=0.7027, reader_cost=0.0001 | ETA 07:01:29 2020-12-16 23:55:05 [INFO] [TRAIN] epoch=7, iter=4020/40000, loss=0.4773, lr=0.009091, batch_cost=0.8587, reader_cost=0.0001 | ETA 08:34:55 2020-12-16 23:55:15 [INFO] [TRAIN] epoch=7, iter=4030/40000, loss=0.4670, lr=0.009089, batch_cost=0.9593, reader_cost=0.0002 | ETA 09:35:05 2020-12-16 23:55:23 [INFO] [TRAIN] epoch=7, iter=4040/40000, loss=0.3412, lr=0.009086, batch_cost=0.8798, reader_cost=0.0002 | ETA 08:47:16 2020-12-16 23:55:33 [INFO] [TRAIN] epoch=7, iter=4050/40000, loss=0.4016, lr=0.009084, batch_cost=0.9565, reader_cost=0.0002 | ETA 09:33:05 2020-12-16 23:55:42 [INFO] [TRAIN] epoch=7, iter=4060/40000, loss=0.2757, lr=0.009082, batch_cost=0.9331, reader_cost=0.0003 | ETA 09:18:54 2020-12-16 23:55:52 [INFO] [TRAIN] epoch=7, iter=4070/40000, loss=0.2817, lr=0.009080, batch_cost=0.9576, reader_cost=0.0002 | ETA 09:33:26 2020-12-16 23:56:02 [INFO] [TRAIN] epoch=7, iter=4080/40000, loss=0.4608, lr=0.009077, batch_cost=0.9631, reader_cost=0.0001 | ETA 09:36:36 2020-12-16 23:56:12 [INFO] [TRAIN] epoch=7, iter=4090/40000, loss=0.2606, lr=0.009075, batch_cost=1.0459, reader_cost=0.0013 | ETA 10:25:59 2020-12-16 23:56:21 [INFO] [TRAIN] epoch=7, iter=4100/40000, loss=0.5822, lr=0.009073, batch_cost=0.8951, reader_cost=0.0015 | ETA 08:55:35 2020-12-16 23:56:31 [INFO] [TRAIN] epoch=7, iter=4110/40000, loss=0.4295, lr=0.009071, batch_cost=0.9626, reader_cost=0.0002 | ETA 09:35:48 2020-12-16 23:56:40 [INFO] [TRAIN] epoch=7, iter=4120/40000, loss=0.7520, lr=0.009068, batch_cost=0.9096, reader_cost=0.0002 | ETA 09:03:57 2020-12-16 23:56:50 [INFO] [TRAIN] epoch=7, iter=4130/40000, loss=0.7099, lr=0.009066, batch_cost=0.9921, reader_cost=0.0012 | ETA 09:53:08 2020-12-16 23:56:59 [INFO] [TRAIN] epoch=7, iter=4140/40000, loss=0.5344, lr=0.009064, batch_cost=0.9632, reader_cost=0.0017 | ETA 09:35:40 2020-12-16 23:57:08 [INFO] [TRAIN] epoch=7, iter=4150/40000, loss=0.5327, lr=0.009061, batch_cost=0.8971, reader_cost=0.0002 | ETA 08:56:02 2020-12-16 23:57:18 [INFO] [TRAIN] epoch=7, iter=4160/40000, loss=0.4682, lr=0.009059, batch_cost=0.9962, reader_cost=0.0001 | ETA 09:55:02 2020-12-16 23:57:28 [INFO] [TRAIN] epoch=7, iter=4170/40000, loss=0.6471, lr=0.009057, batch_cost=0.9660, reader_cost=0.0002 | ETA 09:36:51 2020-12-16 23:57:38 [INFO] [TRAIN] epoch=7, iter=4180/40000, loss=0.7345, lr=0.009055, batch_cost=0.9769, reader_cost=0.0026 | ETA 09:43:13 2020-12-16 23:57:47 [INFO] [TRAIN] epoch=7, iter=4190/40000, loss=0.5476, lr=0.009052, batch_cost=0.9460, reader_cost=0.0002 | ETA 09:24:35 2020-12-16 23:57:57 [INFO] [TRAIN] epoch=7, iter=4200/40000, loss=0.3638, lr=0.009050, batch_cost=0.9754, reader_cost=0.0002 | ETA 09:42:00 2020-12-16 23:58:06 [INFO] [TRAIN] epoch=7, iter=4210/40000, loss=0.4760, lr=0.009048, batch_cost=0.9159, reader_cost=0.0001 | ETA 09:06:20 2020-12-16 23:58:15 [INFO] [TRAIN] epoch=7, iter=4220/40000, loss=0.6306, lr=0.009046, batch_cost=0.8859, reader_cost=0.0002 | ETA 08:48:16 2020-12-16 23:58:24 [INFO] [TRAIN] epoch=7, iter=4230/40000, loss=0.4461, lr=0.009043, batch_cost=0.9313, reader_cost=0.0001 | ETA 09:15:13 2020-12-16 23:58:32 [INFO] [TRAIN] epoch=7, iter=4240/40000, loss=0.4232, lr=0.009041, batch_cost=0.7809, reader_cost=0.0021 | ETA 07:45:24 2020-12-16 23:58:40 [INFO] [TRAIN] epoch=7, iter=4250/40000, loss=0.5079, lr=0.009039, batch_cost=0.8240, reader_cost=0.0001 | ETA 08:10:58 2020-12-16 23:58:48 [INFO] [TRAIN] epoch=7, iter=4260/40000, loss=0.4868, lr=0.009036, batch_cost=0.7447, reader_cost=0.0001 | ETA 07:23:35 2020-12-16 23:58:55 [INFO] [TRAIN] epoch=7, iter=4270/40000, loss=0.6101, lr=0.009034, batch_cost=0.7692, reader_cost=0.0001 | ETA 07:38:02 2020-12-16 23:59:06 [INFO] [TRAIN] epoch=7, iter=4280/40000, loss=0.3752, lr=0.009032, batch_cost=1.0238, reader_cost=0.0002 | ETA 10:09:29 2020-12-16 23:59:15 [INFO] [TRAIN] epoch=7, iter=4290/40000, loss=0.6132, lr=0.009030, batch_cost=0.9019, reader_cost=0.0014 | ETA 08:56:45 2020-12-16 23:59:24 [INFO] [TRAIN] epoch=7, iter=4300/40000, loss=0.5136, lr=0.009027, batch_cost=0.8903, reader_cost=0.0001 | ETA 08:49:44 2020-12-16 23:59:33 [INFO] [TRAIN] epoch=7, iter=4310/40000, loss=0.6663, lr=0.009025, batch_cost=0.9115, reader_cost=0.0008 | ETA 09:02:10 2020-12-16 23:59:42 [INFO] [TRAIN] epoch=7, iter=4320/40000, loss=0.4500, lr=0.009023, batch_cost=0.9488, reader_cost=0.0002 | ETA 09:24:11 2020-12-16 23:59:52 [INFO] [TRAIN] epoch=7, iter=4330/40000, loss=0.5015, lr=0.009020, batch_cost=0.9483, reader_cost=0.0001 | ETA 09:23:46 2020-12-17 00:00:01 [INFO] [TRAIN] epoch=7, iter=4340/40000, loss=0.4017, lr=0.009018, batch_cost=0.9531, reader_cost=0.0002 | ETA 09:26:25 2020-12-17 00:00:11 [INFO] [TRAIN] epoch=7, iter=4350/40000, loss=0.4368, lr=0.009016, batch_cost=1.0262, reader_cost=0.0001 | ETA 10:09:44 2020-12-17 00:00:20 [INFO] [TRAIN] epoch=7, iter=4360/40000, loss=0.4865, lr=0.009014, batch_cost=0.9086, reader_cost=0.0001 | ETA 08:59:41 2020-12-17 00:00:31 [INFO] [TRAIN] epoch=7, iter=4370/40000, loss=0.4790, lr=0.009011, batch_cost=1.0408, reader_cost=0.0002 | ETA 10:18:04 2020-12-17 00:00:41 [INFO] [TRAIN] epoch=7, iter=4380/40000, loss=0.3553, lr=0.009009, batch_cost=0.9982, reader_cost=0.0001 | ETA 09:52:34 2020-12-17 00:00:51 [INFO] [TRAIN] epoch=7, iter=4390/40000, loss=0.4212, lr=0.009007, batch_cost=0.9923, reader_cost=0.0007 | ETA 09:48:56 2020-12-17 00:00:59 [INFO] [TRAIN] epoch=7, iter=4400/40000, loss=0.6161, lr=0.009005, batch_cost=0.7976, reader_cost=0.0001 | ETA 07:53:13 2020-12-17 00:01:07 [INFO] [TRAIN] epoch=7, iter=4410/40000, loss=0.3625, lr=0.009002, batch_cost=0.7758, reader_cost=0.0001 | ETA 07:40:10 2020-12-17 00:01:14 [INFO] [TRAIN] epoch=7, iter=4420/40000, loss=0.5267, lr=0.009000, batch_cost=0.7806, reader_cost=0.0002 | ETA 07:42:53 2020-12-17 00:01:22 [INFO] [TRAIN] epoch=7, iter=4430/40000, loss=0.4192, lr=0.008998, batch_cost=0.7446, reader_cost=0.0001 | ETA 07:21:23 2020-12-17 00:01:30 [INFO] [TRAIN] epoch=7, iter=4440/40000, loss=0.4391, lr=0.008995, batch_cost=0.8527, reader_cost=0.0001 | ETA 08:25:23 2020-12-17 00:01:40 [INFO] [TRAIN] epoch=7, iter=4450/40000, loss=0.4214, lr=0.008993, batch_cost=0.9521, reader_cost=0.0002 | ETA 09:24:08 2020-12-17 00:01:50 [INFO] [TRAIN] epoch=7, iter=4460/40000, loss=0.7362, lr=0.008991, batch_cost=1.0233, reader_cost=0.0002 | ETA 10:06:09 2020-12-17 00:01:59 [INFO] [TRAIN] epoch=7, iter=4470/40000, loss=0.3495, lr=0.008989, batch_cost=0.8710, reader_cost=0.0001 | ETA 08:35:45 2020-12-17 00:02:08 [INFO] [TRAIN] epoch=7, iter=4480/40000, loss=0.5075, lr=0.008986, batch_cost=0.8959, reader_cost=0.0002 | ETA 08:50:23 2020-12-17 00:02:18 [INFO] [TRAIN] epoch=7, iter=4490/40000, loss=0.4830, lr=0.008984, batch_cost=0.9825, reader_cost=0.0002 | ETA 09:41:29 2020-12-17 00:02:27 [INFO] [TRAIN] epoch=7, iter=4500/40000, loss=0.3810, lr=0.008982, batch_cost=0.9619, reader_cost=0.0006 | ETA 09:29:07 2020-12-17 00:02:37 [INFO] [TRAIN] epoch=7, iter=4510/40000, loss=0.4725, lr=0.008980, batch_cost=1.0205, reader_cost=0.0002 | ETA 10:03:38 2020-12-17 00:02:47 [INFO] [TRAIN] epoch=7, iter=4520/40000, loss=0.4577, lr=0.008977, batch_cost=0.9255, reader_cost=0.0001 | ETA 09:07:18 2020-12-17 00:02:55 [INFO] [TRAIN] epoch=7, iter=4530/40000, loss=0.4523, lr=0.008975, batch_cost=0.8748, reader_cost=0.0001 | ETA 08:37:10 2020-12-17 00:03:04 [INFO] [TRAIN] epoch=7, iter=4540/40000, loss=0.3877, lr=0.008973, batch_cost=0.8962, reader_cost=0.0001 | ETA 08:49:39 2020-12-17 00:03:14 [INFO] [TRAIN] epoch=7, iter=4550/40000, loss=0.4244, lr=0.008970, batch_cost=0.9557, reader_cost=0.0001 | ETA 09:24:38 2020-12-17 00:03:23 [INFO] [TRAIN] epoch=7, iter=4560/40000, loss=0.2623, lr=0.008968, batch_cost=0.8631, reader_cost=0.0001 | ETA 08:29:48 2020-12-17 00:03:32 [INFO] [TRAIN] epoch=7, iter=4570/40000, loss=0.5225, lr=0.008966, batch_cost=0.9601, reader_cost=0.0002 | ETA 09:26:56 2020-12-17 00:03:42 [INFO] [TRAIN] epoch=7, iter=4580/40000, loss=0.4129, lr=0.008964, batch_cost=1.0053, reader_cost=0.0013 | ETA 09:53:26 2020-12-17 00:03:52 [INFO] [TRAIN] epoch=7, iter=4590/40000, loss=0.6410, lr=0.008961, batch_cost=0.9671, reader_cost=0.0002 | ETA 09:30:43 2020-12-17 00:04:02 [INFO] [TRAIN] epoch=7, iter=4600/40000, loss=0.3363, lr=0.008959, batch_cost=1.0482, reader_cost=0.0001 | ETA 10:18:25 2020-12-17 00:04:12 [INFO] [TRAIN] epoch=7, iter=4610/40000, loss=0.3814, lr=0.008957, batch_cost=0.9465, reader_cost=0.0011 | ETA 09:18:17 2020-12-17 00:04:21 [INFO] [TRAIN] epoch=7, iter=4620/40000, loss=0.5141, lr=0.008954, batch_cost=0.8985, reader_cost=0.0001 | ETA 08:49:47 2020-12-17 00:04:29 [INFO] [TRAIN] epoch=8, iter=4630/40000, loss=0.4080, lr=0.008952, batch_cost=0.8517, reader_cost=0.0247 | ETA 08:22:04 2020-12-17 00:04:38 [INFO] [TRAIN] epoch=8, iter=4640/40000, loss=0.5703, lr=0.008950, batch_cost=0.8759, reader_cost=0.0006 | ETA 08:36:10 2020-12-17 00:04:49 [INFO] [TRAIN] epoch=8, iter=4650/40000, loss=0.3780, lr=0.008948, batch_cost=1.0559, reader_cost=0.0002 | ETA 10:22:05 2020-12-17 00:04:58 [INFO] [TRAIN] epoch=8, iter=4660/40000, loss=0.4031, lr=0.008945, batch_cost=0.9671, reader_cost=0.0002 | ETA 09:29:37 2020-12-17 00:05:08 [INFO] [TRAIN] epoch=8, iter=4670/40000, loss=0.5248, lr=0.008943, batch_cost=1.0074, reader_cost=0.0001 | ETA 09:53:09 2020-12-17 00:05:17 [INFO] [TRAIN] epoch=8, iter=4680/40000, loss=0.4034, lr=0.008941, batch_cost=0.8650, reader_cost=0.0001 | ETA 08:29:12 2020-12-17 00:05:26 [INFO] [TRAIN] epoch=8, iter=4690/40000, loss=0.7614, lr=0.008939, batch_cost=0.8889, reader_cost=0.0002 | ETA 08:43:07 2020-12-17 00:05:35 [INFO] [TRAIN] epoch=8, iter=4700/40000, loss=0.4838, lr=0.008936, batch_cost=0.8714, reader_cost=0.0002 | ETA 08:32:39 2020-12-17 00:05:44 [INFO] [TRAIN] epoch=8, iter=4710/40000, loss=0.6324, lr=0.008934, batch_cost=0.9739, reader_cost=0.0001 | ETA 09:32:49 2020-12-17 00:05:54 [INFO] [TRAIN] epoch=8, iter=4720/40000, loss=0.4965, lr=0.008932, batch_cost=0.9202, reader_cost=0.0001 | ETA 09:01:03 2020-12-17 00:06:04 [INFO] [TRAIN] epoch=8, iter=4730/40000, loss=0.3635, lr=0.008929, batch_cost=1.0022, reader_cost=0.0002 | ETA 09:49:09 2020-12-17 00:06:13 [INFO] [TRAIN] epoch=8, iter=4740/40000, loss=0.5010, lr=0.008927, batch_cost=0.9851, reader_cost=0.0001 | ETA 09:38:56 2020-12-17 00:06:22 [INFO] [TRAIN] epoch=8, iter=4750/40000, loss=0.5088, lr=0.008925, batch_cost=0.8880, reader_cost=0.0001 | ETA 08:41:43 2020-12-17 00:06:31 [INFO] [TRAIN] epoch=8, iter=4760/40000, loss=0.4264, lr=0.008923, batch_cost=0.9115, reader_cost=0.0002 | ETA 08:55:20 2020-12-17 00:06:41 [INFO] [TRAIN] epoch=8, iter=4770/40000, loss=0.4135, lr=0.008920, batch_cost=0.9189, reader_cost=0.0002 | ETA 08:59:33 2020-12-17 00:06:50 [INFO] [TRAIN] epoch=8, iter=4780/40000, loss=0.5659, lr=0.008918, batch_cost=0.9050, reader_cost=0.0014 | ETA 08:51:12 2020-12-17 00:06:58 [INFO] [TRAIN] epoch=8, iter=4790/40000, loss=0.2983, lr=0.008916, batch_cost=0.8408, reader_cost=0.0001 | ETA 08:13:25 2020-12-17 00:07:06 [INFO] [TRAIN] epoch=8, iter=4800/40000, loss=0.3457, lr=0.008913, batch_cost=0.7549, reader_cost=0.0001 | ETA 07:22:51 2020-12-17 00:07:13 [INFO] [TRAIN] epoch=8, iter=4810/40000, loss=0.5810, lr=0.008911, batch_cost=0.7266, reader_cost=0.0001 | ETA 07:06:10 2020-12-17 00:07:22 [INFO] [TRAIN] epoch=8, iter=4820/40000, loss=0.6423, lr=0.008909, batch_cost=0.8855, reader_cost=0.0002 | ETA 08:39:12 2020-12-17 00:07:31 [INFO] [TRAIN] epoch=8, iter=4830/40000, loss=0.3198, lr=0.008907, batch_cost=0.9253, reader_cost=0.0002 | ETA 09:02:22 2020-12-17 00:07:42 [INFO] [TRAIN] epoch=8, iter=4840/40000, loss=0.3702, lr=0.008904, batch_cost=1.0471, reader_cost=0.0001 | ETA 10:13:34 2020-12-17 00:07:51 [INFO] [TRAIN] epoch=8, iter=4850/40000, loss=0.5123, lr=0.008902, batch_cost=0.9557, reader_cost=0.0014 | ETA 09:19:51 2020-12-17 00:08:01 [INFO] [TRAIN] epoch=8, iter=4860/40000, loss=0.4138, lr=0.008900, batch_cost=1.0208, reader_cost=0.0001 | ETA 09:57:49 2020-12-17 00:08:11 [INFO] [TRAIN] epoch=8, iter=4870/40000, loss=0.5696, lr=0.008897, batch_cost=0.9578, reader_cost=0.0002 | ETA 09:20:48 2020-12-17 00:08:21 [INFO] [TRAIN] epoch=8, iter=4880/40000, loss=0.3940, lr=0.008895, batch_cost=1.0523, reader_cost=0.0002 | ETA 10:15:56 2020-12-17 00:08:31 [INFO] [TRAIN] epoch=8, iter=4890/40000, loss=0.4841, lr=0.008893, batch_cost=0.9771, reader_cost=0.0001 | ETA 09:31:46 2020-12-17 00:08:40 [INFO] [TRAIN] epoch=8, iter=4900/40000, loss=0.5266, lr=0.008891, batch_cost=0.8648, reader_cost=0.0002 | ETA 08:25:55 2020-12-17 00:08:50 [INFO] [TRAIN] epoch=8, iter=4910/40000, loss=0.5047, lr=0.008888, batch_cost=1.0376, reader_cost=0.0001 | ETA 10:06:50 2020-12-17 00:09:00 [INFO] [TRAIN] epoch=8, iter=4920/40000, loss=0.5027, lr=0.008886, batch_cost=0.9882, reader_cost=0.0002 | ETA 09:37:46 2020-12-17 00:09:09 [INFO] [TRAIN] epoch=8, iter=4930/40000, loss=0.5599, lr=0.008884, batch_cost=0.9273, reader_cost=0.0001 | ETA 09:02:00 2020-12-17 00:09:18 [INFO] [TRAIN] epoch=8, iter=4940/40000, loss=0.5109, lr=0.008882, batch_cost=0.9160, reader_cost=0.0001 | ETA 08:55:16 2020-12-17 00:09:28 [INFO] [TRAIN] epoch=8, iter=4950/40000, loss=0.5489, lr=0.008879, batch_cost=0.9177, reader_cost=0.0014 | ETA 08:56:05 2020-12-17 00:09:38 [INFO] [TRAIN] epoch=8, iter=4960/40000, loss=0.7499, lr=0.008877, batch_cost=1.0743, reader_cost=0.0015 | ETA 10:27:22 2020-12-17 00:09:49 [INFO] [TRAIN] epoch=8, iter=4970/40000, loss=0.4380, lr=0.008875, batch_cost=1.0282, reader_cost=0.0002 | ETA 10:00:19 2020-12-17 00:09:59 [INFO] [TRAIN] epoch=8, iter=4980/40000, loss=0.2916, lr=0.008872, batch_cost=1.0125, reader_cost=0.0002 | ETA 09:50:59 2020-12-17 00:10:09 [INFO] [TRAIN] epoch=8, iter=4990/40000, loss=0.4270, lr=0.008870, batch_cost=0.9673, reader_cost=0.0001 | ETA 09:24:26 2020-12-17 00:10:18 [INFO] [TRAIN] epoch=8, iter=5000/40000, loss=0.4975, lr=0.008868, batch_cost=0.9948, reader_cost=0.0002 | ETA 09:40:16 2020-12-17 00:10:18 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 00:11:04 [INFO] [EVAL] #Images=1449 mIoU=0.6958 Acc=0.9295 Kappa=0.8449 2020-12-17 00:11:04 [INFO] [EVAL] Class IoU: [0.9265 0.7822 0.3958 0.8351 0.508 0.7209 0.8487 0.7556 0.8424 0.3187 0.7885 0.4556 0.7915 0.7543 0.7665 0.8479 0.5546 0.8456 0.4538 0.7122 0.7069] 2020-12-17 00:11:04 [INFO] [EVAL] Class Acc: [0.9597 0.8119 0.4269 0.9088 0.5224 0.9261 0.9722 0.7912 0.9709 0.5394 0.8898 0.9182 0.8665 0.8857 0.8948 0.9273 0.6048 0.9444 0.8348 0.7402 0.8925] 2020-12-17 00:11:12 [INFO] [EVAL] The model with the best validation mIoU (0.7190) was saved at iter 4000. 2020-12-17 00:11:22 [INFO] [TRAIN] epoch=8, iter=5010/40000, loss=0.5444, lr=0.008866, batch_cost=0.9055, reader_cost=0.0002 | ETA 08:48:03 2020-12-17 00:11:32 [INFO] [TRAIN] epoch=8, iter=5020/40000, loss=0.4362, lr=0.008863, batch_cost=1.0343, reader_cost=0.0001 | ETA 10:02:58 2020-12-17 00:11:41 [INFO] [TRAIN] epoch=8, iter=5030/40000, loss=0.5028, lr=0.008861, batch_cost=0.9408, reader_cost=0.0014 | ETA 09:08:18 2020-12-17 00:11:51 [INFO] [TRAIN] epoch=8, iter=5040/40000, loss=0.4844, lr=0.008859, batch_cost=1.0189, reader_cost=0.0001 | ETA 09:53:42 2020-12-17 00:12:01 [INFO] [TRAIN] epoch=8, iter=5050/40000, loss=0.3674, lr=0.008856, batch_cost=0.9772, reader_cost=0.0001 | ETA 09:29:13 2020-12-17 00:12:11 [INFO] [TRAIN] epoch=8, iter=5060/40000, loss=0.4536, lr=0.008854, batch_cost=0.9583, reader_cost=0.0002 | ETA 09:18:02 2020-12-17 00:12:20 [INFO] [TRAIN] epoch=8, iter=5070/40000, loss=0.6421, lr=0.008852, batch_cost=0.8729, reader_cost=0.0001 | ETA 08:28:09 2020-12-17 00:12:28 [INFO] [TRAIN] epoch=8, iter=5080/40000, loss=0.6740, lr=0.008850, batch_cost=0.8838, reader_cost=0.0002 | ETA 08:34:21 2020-12-17 00:12:38 [INFO] [TRAIN] epoch=8, iter=5090/40000, loss=0.3897, lr=0.008847, batch_cost=0.9468, reader_cost=0.0001 | ETA 09:10:53 2020-12-17 00:12:45 [INFO] [TRAIN] epoch=8, iter=5100/40000, loss=0.3254, lr=0.008845, batch_cost=0.7245, reader_cost=0.0001 | ETA 07:01:25 2020-12-17 00:12:53 [INFO] [TRAIN] epoch=8, iter=5110/40000, loss=0.3433, lr=0.008843, batch_cost=0.7842, reader_cost=0.0001 | ETA 07:35:59 2020-12-17 00:13:00 [INFO] [TRAIN] epoch=8, iter=5120/40000, loss=0.7013, lr=0.008840, batch_cost=0.7304, reader_cost=0.0001 | ETA 07:04:34 2020-12-17 00:13:07 [INFO] [TRAIN] epoch=8, iter=5130/40000, loss=0.6243, lr=0.008838, batch_cost=0.7098, reader_cost=0.0001 | ETA 06:52:29 2020-12-17 00:13:16 [INFO] [TRAIN] epoch=8, iter=5140/40000, loss=0.3796, lr=0.008836, batch_cost=0.9163, reader_cost=0.0001 | ETA 08:52:23 2020-12-17 00:13:25 [INFO] [TRAIN] epoch=8, iter=5150/40000, loss=0.4546, lr=0.008834, batch_cost=0.8234, reader_cost=0.0014 | ETA 07:58:14 2020-12-17 00:13:34 [INFO] [TRAIN] epoch=8, iter=5160/40000, loss=0.6436, lr=0.008831, batch_cost=0.9403, reader_cost=0.0001 | ETA 09:05:59 2020-12-17 00:13:43 [INFO] [TRAIN] epoch=8, iter=5170/40000, loss=0.4738, lr=0.008829, batch_cost=0.8845, reader_cost=0.0004 | ETA 08:33:25 2020-12-17 00:13:52 [INFO] [TRAIN] epoch=8, iter=5180/40000, loss=0.3417, lr=0.008827, batch_cost=0.9295, reader_cost=0.0002 | ETA 08:59:24 2020-12-17 00:14:03 [INFO] [TRAIN] epoch=8, iter=5190/40000, loss=0.5402, lr=0.008825, batch_cost=1.0224, reader_cost=0.0002 | ETA 09:53:09 2020-12-17 00:14:13 [INFO] [TRAIN] epoch=8, iter=5200/40000, loss=0.4661, lr=0.008822, batch_cost=1.0004, reader_cost=0.0001 | ETA 09:40:14 2020-12-17 00:14:22 [INFO] [TRAIN] epoch=8, iter=5210/40000, loss=0.5476, lr=0.008820, batch_cost=0.9886, reader_cost=0.0002 | ETA 09:33:14 2020-12-17 00:14:32 [INFO] [TRAIN] epoch=8, iter=5220/40000, loss=0.4567, lr=0.008818, batch_cost=0.9355, reader_cost=0.0001 | ETA 09:02:17 2020-12-17 00:14:43 [INFO] [TRAIN] epoch=8, iter=5230/40000, loss=0.8051, lr=0.008815, batch_cost=1.0776, reader_cost=0.0001 | ETA 10:24:28 2020-12-17 00:14:52 [INFO] [TRAIN] epoch=8, iter=5240/40000, loss=0.3285, lr=0.008813, batch_cost=0.9780, reader_cost=0.0002 | ETA 09:26:34 2020-12-17 00:15:02 [INFO] [TRAIN] epoch=8, iter=5250/40000, loss=0.4611, lr=0.008811, batch_cost=0.9698, reader_cost=0.0002 | ETA 09:21:41 2020-12-17 00:15:12 [INFO] [TRAIN] epoch=8, iter=5260/40000, loss=0.4791, lr=0.008809, batch_cost=1.0481, reader_cost=0.0002 | ETA 10:06:50 2020-12-17 00:15:22 [INFO] [TRAIN] epoch=8, iter=5270/40000, loss=0.3650, lr=0.008806, batch_cost=0.9924, reader_cost=0.0015 | ETA 09:34:27 2020-12-17 00:15:32 [INFO] [TRAIN] epoch=8, iter=5280/40000, loss=0.4297, lr=0.008804, batch_cost=0.9206, reader_cost=0.0013 | ETA 08:52:41 2020-12-17 00:15:41 [INFO] [TRAIN] epoch=9, iter=5290/40000, loss=0.2854, lr=0.008802, batch_cost=0.9308, reader_cost=0.0426 | ETA 08:58:29 2020-12-17 00:15:51 [INFO] [TRAIN] epoch=9, iter=5300/40000, loss=0.3669, lr=0.008799, batch_cost=1.0102, reader_cost=0.0002 | ETA 09:44:13 2020-12-17 00:16:00 [INFO] [TRAIN] epoch=9, iter=5310/40000, loss=0.9097, lr=0.008797, batch_cost=0.9267, reader_cost=0.0001 | ETA 08:55:45 2020-12-17 00:16:10 [INFO] [TRAIN] epoch=9, iter=5320/40000, loss=0.5213, lr=0.008795, batch_cost=0.9451, reader_cost=0.0007 | ETA 09:06:14 2020-12-17 00:16:19 [INFO] [TRAIN] epoch=9, iter=5330/40000, loss=0.4028, lr=0.008793, batch_cost=0.9732, reader_cost=0.0002 | ETA 09:22:20 2020-12-17 00:16:29 [INFO] [TRAIN] epoch=9, iter=5340/40000, loss=0.4352, lr=0.008790, batch_cost=0.9114, reader_cost=0.0002 | ETA 08:46:30 2020-12-17 00:16:38 [INFO] [TRAIN] epoch=9, iter=5350/40000, loss=0.4058, lr=0.008788, batch_cost=0.9700, reader_cost=0.0003 | ETA 09:20:08 2020-12-17 00:16:48 [INFO] [TRAIN] epoch=9, iter=5360/40000, loss=0.3256, lr=0.008786, batch_cost=1.0105, reader_cost=0.0014 | ETA 09:43:22 2020-12-17 00:16:57 [INFO] [TRAIN] epoch=9, iter=5370/40000, loss=0.3181, lr=0.008783, batch_cost=0.8969, reader_cost=0.0001 | ETA 08:37:40 2020-12-17 00:17:06 [INFO] [TRAIN] epoch=9, iter=5380/40000, loss=0.3920, lr=0.008781, batch_cost=0.8845, reader_cost=0.0001 | ETA 08:30:22 2020-12-17 00:17:16 [INFO] [TRAIN] epoch=9, iter=5390/40000, loss=0.3684, lr=0.008779, batch_cost=0.9755, reader_cost=0.0002 | ETA 09:22:41 2020-12-17 00:17:25 [INFO] [TRAIN] epoch=9, iter=5400/40000, loss=0.2887, lr=0.008777, batch_cost=0.9240, reader_cost=0.0001 | ETA 08:52:51 2020-12-17 00:17:34 [INFO] [TRAIN] epoch=9, iter=5410/40000, loss=0.3968, lr=0.008774, batch_cost=0.8390, reader_cost=0.0001 | ETA 08:03:40 2020-12-17 00:17:43 [INFO] [TRAIN] epoch=9, iter=5420/40000, loss=0.3273, lr=0.008772, batch_cost=0.9255, reader_cost=0.0002 | ETA 08:53:23 2020-12-17 00:17:52 [INFO] [TRAIN] epoch=9, iter=5430/40000, loss=0.4380, lr=0.008770, batch_cost=0.8956, reader_cost=0.0014 | ETA 08:36:01 2020-12-17 00:18:01 [INFO] [TRAIN] epoch=9, iter=5440/40000, loss=0.3803, lr=0.008767, batch_cost=0.9608, reader_cost=0.0002 | ETA 09:13:24 2020-12-17 00:18:12 [INFO] [TRAIN] epoch=9, iter=5450/40000, loss=0.4750, lr=0.008765, batch_cost=1.0117, reader_cost=0.0001 | ETA 09:42:33 2020-12-17 00:18:21 [INFO] [TRAIN] epoch=9, iter=5460/40000, loss=0.3430, lr=0.008763, batch_cost=0.9605, reader_cost=0.0001 | ETA 09:12:54 2020-12-17 00:18:31 [INFO] [TRAIN] epoch=9, iter=5470/40000, loss=0.6407, lr=0.008761, batch_cost=0.9419, reader_cost=0.0002 | ETA 09:02:03 2020-12-17 00:18:39 [INFO] [TRAIN] epoch=9, iter=5480/40000, loss=0.4168, lr=0.008758, batch_cost=0.7941, reader_cost=0.0001 | ETA 07:36:53 2020-12-17 00:18:46 [INFO] [TRAIN] epoch=9, iter=5490/40000, loss=0.4257, lr=0.008756, batch_cost=0.7533, reader_cost=0.0001 | ETA 07:13:16 2020-12-17 00:18:54 [INFO] [TRAIN] epoch=9, iter=5500/40000, loss=0.6593, lr=0.008754, batch_cost=0.7519, reader_cost=0.0001 | ETA 07:12:20 2020-12-17 00:19:01 [INFO] [TRAIN] epoch=9, iter=5510/40000, loss=0.5159, lr=0.008751, batch_cost=0.7090, reader_cost=0.0001 | ETA 06:47:34 2020-12-17 00:19:09 [INFO] [TRAIN] epoch=9, iter=5520/40000, loss=0.3346, lr=0.008749, batch_cost=0.8736, reader_cost=0.0001 | ETA 08:22:01 2020-12-17 00:19:19 [INFO] [TRAIN] epoch=9, iter=5530/40000, loss=0.3216, lr=0.008747, batch_cost=0.9374, reader_cost=0.0002 | ETA 08:58:30 2020-12-17 00:19:28 [INFO] [TRAIN] epoch=9, iter=5540/40000, loss=0.5376, lr=0.008745, batch_cost=0.8804, reader_cost=0.0002 | ETA 08:25:39 2020-12-17 00:19:39 [INFO] [TRAIN] epoch=9, iter=5550/40000, loss=0.4164, lr=0.008742, batch_cost=1.1247, reader_cost=0.0002 | ETA 10:45:44 2020-12-17 00:19:48 [INFO] [TRAIN] epoch=9, iter=5560/40000, loss=0.4003, lr=0.008740, batch_cost=0.9111, reader_cost=0.0002 | ETA 08:42:57 2020-12-17 00:19:57 [INFO] [TRAIN] epoch=9, iter=5570/40000, loss=0.4513, lr=0.008738, batch_cost=0.9145, reader_cost=0.0002 | ETA 08:44:46 2020-12-17 00:20:06 [INFO] [TRAIN] epoch=9, iter=5580/40000, loss=0.3734, lr=0.008735, batch_cost=0.8910, reader_cost=0.0002 | ETA 08:31:08 2020-12-17 00:20:16 [INFO] [TRAIN] epoch=9, iter=5590/40000, loss=0.6406, lr=0.008733, batch_cost=0.9505, reader_cost=0.0003 | ETA 09:05:05 2020-12-17 00:20:24 [INFO] [TRAIN] epoch=9, iter=5600/40000, loss=0.7323, lr=0.008731, batch_cost=0.8974, reader_cost=0.0002 | ETA 08:34:31 2020-12-17 00:20:34 [INFO] [TRAIN] epoch=9, iter=5610/40000, loss=0.4289, lr=0.008729, batch_cost=0.9475, reader_cost=0.0002 | ETA 09:03:04 2020-12-17 00:20:43 [INFO] [TRAIN] epoch=9, iter=5620/40000, loss=0.3854, lr=0.008726, batch_cost=0.9075, reader_cost=0.0014 | ETA 08:39:58 2020-12-17 00:20:53 [INFO] [TRAIN] epoch=9, iter=5630/40000, loss=0.4796, lr=0.008724, batch_cost=0.9893, reader_cost=0.0001 | ETA 09:26:43 2020-12-17 00:21:03 [INFO] [TRAIN] epoch=9, iter=5640/40000, loss=0.3360, lr=0.008722, batch_cost=0.9698, reader_cost=0.0002 | ETA 09:15:22 2020-12-17 00:21:12 [INFO] [TRAIN] epoch=9, iter=5650/40000, loss=0.4315, lr=0.008719, batch_cost=0.9711, reader_cost=0.0001 | ETA 09:15:56 2020-12-17 00:21:21 [INFO] [TRAIN] epoch=9, iter=5660/40000, loss=0.6892, lr=0.008717, batch_cost=0.9040, reader_cost=0.0001 | ETA 08:37:23 2020-12-17 00:21:31 [INFO] [TRAIN] epoch=9, iter=5670/40000, loss=0.4331, lr=0.008715, batch_cost=0.9902, reader_cost=0.0013 | ETA 09:26:32 2020-12-17 00:21:40 [INFO] [TRAIN] epoch=9, iter=5680/40000, loss=0.6461, lr=0.008713, batch_cost=0.9129, reader_cost=0.0002 | ETA 08:42:12 2020-12-17 00:21:50 [INFO] [TRAIN] epoch=9, iter=5690/40000, loss=0.3528, lr=0.008710, batch_cost=0.9619, reader_cost=0.0001 | ETA 09:10:02 2020-12-17 00:22:00 [INFO] [TRAIN] epoch=9, iter=5700/40000, loss=0.2920, lr=0.008708, batch_cost=0.9525, reader_cost=0.0014 | ETA 09:04:31 2020-12-17 00:22:10 [INFO] [TRAIN] epoch=9, iter=5710/40000, loss=0.3201, lr=0.008706, batch_cost=1.0086, reader_cost=0.0002 | ETA 09:36:25 2020-12-17 00:22:19 [INFO] [TRAIN] epoch=9, iter=5720/40000, loss=0.4038, lr=0.008704, batch_cost=0.9371, reader_cost=0.0003 | ETA 08:55:24 2020-12-17 00:22:28 [INFO] [TRAIN] epoch=9, iter=5730/40000, loss=0.3355, lr=0.008701, batch_cost=0.9128, reader_cost=0.0001 | ETA 08:41:19 2020-12-17 00:22:38 [INFO] [TRAIN] epoch=9, iter=5740/40000, loss=0.3543, lr=0.008699, batch_cost=0.9516, reader_cost=0.0001 | ETA 09:03:21 2020-12-17 00:22:47 [INFO] [TRAIN] epoch=9, iter=5750/40000, loss=0.4031, lr=0.008697, batch_cost=0.8930, reader_cost=0.0001 | ETA 08:29:45 2020-12-17 00:22:56 [INFO] [TRAIN] epoch=9, iter=5760/40000, loss=0.3474, lr=0.008694, batch_cost=0.9197, reader_cost=0.0001 | ETA 08:44:52 2020-12-17 00:23:05 [INFO] [TRAIN] epoch=9, iter=5770/40000, loss=0.3929, lr=0.008692, batch_cost=0.9170, reader_cost=0.0001 | ETA 08:43:10 2020-12-17 00:23:15 [INFO] [TRAIN] epoch=9, iter=5780/40000, loss=0.3552, lr=0.008690, batch_cost=0.9938, reader_cost=0.0002 | ETA 09:26:46 2020-12-17 00:23:24 [INFO] [TRAIN] epoch=9, iter=5790/40000, loss=0.4412, lr=0.008688, batch_cost=0.8961, reader_cost=0.0014 | ETA 08:30:56 2020-12-17 00:23:33 [INFO] [TRAIN] epoch=9, iter=5800/40000, loss=0.3433, lr=0.008685, batch_cost=0.9202, reader_cost=0.0002 | ETA 08:44:29 2020-12-17 00:23:42 [INFO] [TRAIN] epoch=9, iter=5810/40000, loss=0.2845, lr=0.008683, batch_cost=0.8522, reader_cost=0.0002 | ETA 08:05:36 2020-12-17 00:23:52 [INFO] [TRAIN] epoch=9, iter=5820/40000, loss=0.3762, lr=0.008681, batch_cost=1.0277, reader_cost=0.0002 | ETA 09:45:27 2020-12-17 00:24:01 [INFO] [TRAIN] epoch=9, iter=5830/40000, loss=0.2822, lr=0.008678, batch_cost=0.8937, reader_cost=0.0001 | ETA 08:28:57 2020-12-17 00:24:10 [INFO] [TRAIN] epoch=9, iter=5840/40000, loss=0.2992, lr=0.008676, batch_cost=0.8828, reader_cost=0.0002 | ETA 08:22:36 2020-12-17 00:24:19 [INFO] [TRAIN] epoch=9, iter=5850/40000, loss=0.5955, lr=0.008674, batch_cost=0.9178, reader_cost=0.0001 | ETA 08:42:23 2020-12-17 00:24:28 [INFO] [TRAIN] epoch=9, iter=5860/40000, loss=0.2872, lr=0.008672, batch_cost=0.9463, reader_cost=0.0014 | ETA 08:58:27 2020-12-17 00:24:37 [INFO] [TRAIN] epoch=9, iter=5870/40000, loss=0.4956, lr=0.008669, batch_cost=0.8298, reader_cost=0.0002 | ETA 07:52:00 2020-12-17 00:24:45 [INFO] [TRAIN] epoch=9, iter=5880/40000, loss=0.5586, lr=0.008667, batch_cost=0.8381, reader_cost=0.0014 | ETA 07:56:35 2020-12-17 00:24:54 [INFO] [TRAIN] epoch=9, iter=5890/40000, loss=0.3327, lr=0.008665, batch_cost=0.9348, reader_cost=0.0001 | ETA 08:51:24 2020-12-17 00:25:03 [INFO] [TRAIN] epoch=9, iter=5900/40000, loss=0.4304, lr=0.008662, batch_cost=0.8271, reader_cost=0.0001 | ETA 07:50:04 2020-12-17 00:25:12 [INFO] [TRAIN] epoch=9, iter=5910/40000, loss=0.4293, lr=0.008660, batch_cost=0.9072, reader_cost=0.0001 | ETA 08:35:25 2020-12-17 00:25:21 [INFO] [TRAIN] epoch=9, iter=5920/40000, loss=0.5318, lr=0.008658, batch_cost=0.9683, reader_cost=0.0007 | ETA 09:10:00 2020-12-17 00:25:30 [INFO] [TRAIN] epoch=9, iter=5930/40000, loss=0.5080, lr=0.008656, batch_cost=0.8786, reader_cost=0.0002 | ETA 08:18:53 2020-12-17 00:25:40 [INFO] [TRAIN] epoch=9, iter=5940/40000, loss=0.4083, lr=0.008653, batch_cost=0.9591, reader_cost=0.0002 | ETA 09:04:25 2020-12-17 00:25:48 [INFO] [TRAIN] epoch=10, iter=5950/40000, loss=0.5307, lr=0.008651, batch_cost=0.8485, reader_cost=0.0533 | ETA 08:01:30 2020-12-17 00:25:58 [INFO] [TRAIN] epoch=10, iter=5960/40000, loss=0.4824, lr=0.008649, batch_cost=0.9705, reader_cost=0.0001 | ETA 09:10:34 2020-12-17 00:26:08 [INFO] [TRAIN] epoch=10, iter=5970/40000, loss=0.3709, lr=0.008646, batch_cost=0.9653, reader_cost=0.0002 | ETA 09:07:30 2020-12-17 00:26:18 [INFO] [TRAIN] epoch=10, iter=5980/40000, loss=0.6132, lr=0.008644, batch_cost=1.0135, reader_cost=0.0002 | ETA 09:34:38 2020-12-17 00:26:27 [INFO] [TRAIN] epoch=10, iter=5990/40000, loss=0.5600, lr=0.008642, batch_cost=0.9615, reader_cost=0.0014 | ETA 09:05:00 2020-12-17 00:26:36 [INFO] [TRAIN] epoch=10, iter=6000/40000, loss=0.4574, lr=0.008639, batch_cost=0.9001, reader_cost=0.0014 | ETA 08:30:04 2020-12-17 00:26:36 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 00:27:28 [INFO] [EVAL] #Images=1449 mIoU=0.7089 Acc=0.9336 Kappa=0.8544 2020-12-17 00:27:28 [INFO] [EVAL] Class IoU: [0.9296 0.846 0.4208 0.7943 0.4335 0.7824 0.8785 0.8247 0.8865 0.4007 0.8087 0.5316 0.7987 0.787 0.813 0.8325 0.3586 0.8447 0.4387 0.7836 0.6935] 2020-12-17 00:27:28 [INFO] [EVAL] Class Acc: [0.963 0.8789 0.4445 0.8385 0.452 0.8678 0.9701 0.9074 0.9364 0.7023 0.9546 0.6812 0.8471 0.9168 0.9164 0.8955 0.9468 0.945 0.7711 0.8973 0.8185] 2020-12-17 00:27:39 [INFO] [EVAL] The model with the best validation mIoU (0.7190) was saved at iter 4000. 2020-12-17 00:27:48 [INFO] [TRAIN] epoch=10, iter=6010/40000, loss=0.3680, lr=0.008637, batch_cost=0.9050, reader_cost=0.0002 | ETA 08:32:41 2020-12-17 00:27:57 [INFO] [TRAIN] epoch=10, iter=6020/40000, loss=0.4529, lr=0.008635, batch_cost=0.9777, reader_cost=0.0002 | ETA 09:13:42 2020-12-17 00:28:07 [INFO] [TRAIN] epoch=10, iter=6030/40000, loss=0.2853, lr=0.008633, batch_cost=0.9644, reader_cost=0.0020 | ETA 09:06:00 2020-12-17 00:28:16 [INFO] [TRAIN] epoch=10, iter=6040/40000, loss=0.4498, lr=0.008630, batch_cost=0.9132, reader_cost=0.0001 | ETA 08:36:52 2020-12-17 00:28:25 [INFO] [TRAIN] epoch=10, iter=6050/40000, loss=0.4466, lr=0.008628, batch_cost=0.8899, reader_cost=0.0002 | ETA 08:23:31 2020-12-17 00:28:35 [INFO] [TRAIN] epoch=10, iter=6060/40000, loss=0.3915, lr=0.008626, batch_cost=0.9687, reader_cost=0.0014 | ETA 09:07:57 2020-12-17 00:28:45 [INFO] [TRAIN] epoch=10, iter=6070/40000, loss=0.2587, lr=0.008623, batch_cost=1.0355, reader_cost=0.0002 | ETA 09:45:35 2020-12-17 00:28:55 [INFO] [TRAIN] epoch=10, iter=6080/40000, loss=0.3985, lr=0.008621, batch_cost=0.9532, reader_cost=0.0025 | ETA 08:58:51 2020-12-17 00:29:05 [INFO] [TRAIN] epoch=10, iter=6090/40000, loss=0.3574, lr=0.008619, batch_cost=1.0329, reader_cost=0.0016 | ETA 09:43:45 2020-12-17 00:29:15 [INFO] [TRAIN] epoch=10, iter=6100/40000, loss=0.3328, lr=0.008617, batch_cost=0.9553, reader_cost=0.0001 | ETA 08:59:46 2020-12-17 00:29:24 [INFO] [TRAIN] epoch=10, iter=6110/40000, loss=0.5243, lr=0.008614, batch_cost=0.8997, reader_cost=0.0002 | ETA 08:28:10 2020-12-17 00:29:33 [INFO] [TRAIN] epoch=10, iter=6120/40000, loss=0.5100, lr=0.008612, batch_cost=0.9791, reader_cost=0.0002 | ETA 09:12:50 2020-12-17 00:29:42 [INFO] [TRAIN] epoch=10, iter=6130/40000, loss=0.6512, lr=0.008610, batch_cost=0.8556, reader_cost=0.0002 | ETA 08:02:58 2020-12-17 00:29:50 [INFO] [TRAIN] epoch=10, iter=6140/40000, loss=0.3936, lr=0.008607, batch_cost=0.8495, reader_cost=0.0002 | ETA 07:59:23 2020-12-17 00:29:59 [INFO] [TRAIN] epoch=10, iter=6150/40000, loss=0.3506, lr=0.008605, batch_cost=0.8753, reader_cost=0.0001 | ETA 08:13:49 2020-12-17 00:30:08 [INFO] [TRAIN] epoch=10, iter=6160/40000, loss=0.4432, lr=0.008603, batch_cost=0.8551, reader_cost=0.0001 | ETA 08:02:17 2020-12-17 00:30:17 [INFO] [TRAIN] epoch=10, iter=6170/40000, loss=0.3982, lr=0.008601, batch_cost=0.9233, reader_cost=0.0002 | ETA 08:40:33 2020-12-17 00:30:26 [INFO] [TRAIN] epoch=10, iter=6180/40000, loss=0.6368, lr=0.008598, batch_cost=0.8790, reader_cost=0.0002 | ETA 08:15:28 2020-12-17 00:30:34 [INFO] [TRAIN] epoch=10, iter=6190/40000, loss=0.4172, lr=0.008596, batch_cost=0.7699, reader_cost=0.0001 | ETA 07:13:51 2020-12-17 00:30:41 [INFO] [TRAIN] epoch=10, iter=6200/40000, loss=0.5224, lr=0.008594, batch_cost=0.7348, reader_cost=0.0001 | ETA 06:53:55 2020-12-17 00:30:48 [INFO] [TRAIN] epoch=10, iter=6210/40000, loss=0.4453, lr=0.008591, batch_cost=0.7327, reader_cost=0.0001 | ETA 06:52:38 2020-12-17 00:30:55 [INFO] [TRAIN] epoch=10, iter=6220/40000, loss=0.7106, lr=0.008589, batch_cost=0.7245, reader_cost=0.0001 | ETA 06:47:54 2020-12-17 00:31:03 [INFO] [TRAIN] epoch=10, iter=6230/40000, loss=0.4903, lr=0.008587, batch_cost=0.7434, reader_cost=0.0001 | ETA 06:58:22 2020-12-17 00:31:10 [INFO] [TRAIN] epoch=10, iter=6240/40000, loss=0.3972, lr=0.008585, batch_cost=0.7034, reader_cost=0.0001 | ETA 06:35:47 2020-12-17 00:31:18 [INFO] [TRAIN] epoch=10, iter=6250/40000, loss=0.4285, lr=0.008582, batch_cost=0.8406, reader_cost=0.0001 | ETA 07:52:51 2020-12-17 00:31:26 [INFO] [TRAIN] epoch=10, iter=6260/40000, loss=0.4523, lr=0.008580, batch_cost=0.7276, reader_cost=0.0001 | ETA 06:49:10 2020-12-17 00:31:33 [INFO] [TRAIN] epoch=10, iter=6270/40000, loss=0.6486, lr=0.008578, batch_cost=0.7010, reader_cost=0.0001 | ETA 06:34:03 2020-12-17 00:31:41 [INFO] [TRAIN] epoch=10, iter=6280/40000, loss=0.4636, lr=0.008575, batch_cost=0.8036, reader_cost=0.0001 | ETA 07:31:36 2020-12-17 00:31:49 [INFO] [TRAIN] epoch=10, iter=6290/40000, loss=0.3735, lr=0.008573, batch_cost=0.8707, reader_cost=0.0001 | ETA 08:09:11 2020-12-17 00:31:59 [INFO] [TRAIN] epoch=10, iter=6300/40000, loss=0.4675, lr=0.008571, batch_cost=0.9930, reader_cost=0.0002 | ETA 09:17:44 2020-12-17 00:32:09 [INFO] [TRAIN] epoch=10, iter=6310/40000, loss=0.4812, lr=0.008569, batch_cost=0.9513, reader_cost=0.0001 | ETA 08:54:10 2020-12-17 00:32:18 [INFO] [TRAIN] epoch=10, iter=6320/40000, loss=0.3505, lr=0.008566, batch_cost=0.9275, reader_cost=0.0002 | ETA 08:40:37 2020-12-17 00:32:28 [INFO] [TRAIN] epoch=10, iter=6330/40000, loss=0.6474, lr=0.008564, batch_cost=0.9492, reader_cost=0.0002 | ETA 08:52:38 2020-12-17 00:32:37 [INFO] [TRAIN] epoch=10, iter=6340/40000, loss=0.8145, lr=0.008562, batch_cost=0.9685, reader_cost=0.0016 | ETA 09:03:20 2020-12-17 00:32:47 [INFO] [TRAIN] epoch=10, iter=6350/40000, loss=0.4859, lr=0.008559, batch_cost=1.0016, reader_cost=0.0002 | ETA 09:21:43 2020-12-17 00:32:56 [INFO] [TRAIN] epoch=10, iter=6360/40000, loss=0.3155, lr=0.008557, batch_cost=0.9131, reader_cost=0.0002 | ETA 08:31:56 2020-12-17 00:33:06 [INFO] [TRAIN] epoch=10, iter=6370/40000, loss=0.3641, lr=0.008555, batch_cost=1.0017, reader_cost=0.0002 | ETA 09:21:25 2020-12-17 00:33:15 [INFO] [TRAIN] epoch=10, iter=6380/40000, loss=0.5265, lr=0.008553, batch_cost=0.8536, reader_cost=0.0001 | ETA 07:58:17 2020-12-17 00:33:23 [INFO] [TRAIN] epoch=10, iter=6390/40000, loss=0.4246, lr=0.008550, batch_cost=0.8302, reader_cost=0.0001 | ETA 07:45:01 2020-12-17 00:33:33 [INFO] [TRAIN] epoch=10, iter=6400/40000, loss=0.3612, lr=0.008548, batch_cost=0.9439, reader_cost=0.0002 | ETA 08:48:36 2020-12-17 00:33:43 [INFO] [TRAIN] epoch=10, iter=6410/40000, loss=0.4672, lr=0.008546, batch_cost=1.0162, reader_cost=0.0015 | ETA 09:28:52 2020-12-17 00:33:52 [INFO] [TRAIN] epoch=10, iter=6420/40000, loss=0.6748, lr=0.008543, batch_cost=0.9638, reader_cost=0.0001 | ETA 08:59:24 2020-12-17 00:34:02 [INFO] [TRAIN] epoch=10, iter=6430/40000, loss=0.4102, lr=0.008541, batch_cost=0.9760, reader_cost=0.0002 | ETA 09:06:04 2020-12-17 00:34:12 [INFO] [TRAIN] epoch=10, iter=6440/40000, loss=0.3003, lr=0.008539, batch_cost=0.9737, reader_cost=0.0002 | ETA 09:04:37 2020-12-17 00:34:22 [INFO] [TRAIN] epoch=10, iter=6450/40000, loss=0.3851, lr=0.008537, batch_cost=0.9880, reader_cost=0.0002 | ETA 09:12:26 2020-12-17 00:34:31 [INFO] [TRAIN] epoch=10, iter=6460/40000, loss=0.3734, lr=0.008534, batch_cost=0.9432, reader_cost=0.0016 | ETA 08:47:16 2020-12-17 00:34:41 [INFO] [TRAIN] epoch=10, iter=6470/40000, loss=0.3799, lr=0.008532, batch_cost=0.9877, reader_cost=0.0003 | ETA 09:11:57 2020-12-17 00:34:52 [INFO] [TRAIN] epoch=10, iter=6480/40000, loss=0.3115, lr=0.008530, batch_cost=1.0664, reader_cost=0.0014 | ETA 09:55:46 2020-12-17 00:35:00 [INFO] [TRAIN] epoch=10, iter=6490/40000, loss=0.3770, lr=0.008527, batch_cost=0.8569, reader_cost=0.0019 | ETA 07:58:33 2020-12-17 00:35:09 [INFO] [TRAIN] epoch=10, iter=6500/40000, loss=0.3337, lr=0.008525, batch_cost=0.8379, reader_cost=0.0002 | ETA 07:47:50 2020-12-17 00:35:18 [INFO] [TRAIN] epoch=10, iter=6510/40000, loss=0.3075, lr=0.008523, batch_cost=0.8918, reader_cost=0.0002 | ETA 08:17:47 2020-12-17 00:35:27 [INFO] [TRAIN] epoch=10, iter=6520/40000, loss=0.4576, lr=0.008520, batch_cost=0.9604, reader_cost=0.0002 | ETA 08:55:55 2020-12-17 00:35:37 [INFO] [TRAIN] epoch=10, iter=6530/40000, loss=0.3787, lr=0.008518, batch_cost=0.9577, reader_cost=0.0001 | ETA 08:54:13 2020-12-17 00:35:46 [INFO] [TRAIN] epoch=10, iter=6540/40000, loss=0.3952, lr=0.008516, batch_cost=0.8951, reader_cost=0.0013 | ETA 08:19:10 2020-12-17 00:35:56 [INFO] [TRAIN] epoch=10, iter=6550/40000, loss=0.4260, lr=0.008514, batch_cost=1.0292, reader_cost=0.0001 | ETA 09:33:47 2020-12-17 00:36:04 [INFO] [TRAIN] epoch=10, iter=6560/40000, loss=0.3793, lr=0.008511, batch_cost=0.8162, reader_cost=0.0007 | ETA 07:34:55 2020-12-17 00:36:13 [INFO] [TRAIN] epoch=10, iter=6570/40000, loss=0.4083, lr=0.008509, batch_cost=0.8846, reader_cost=0.0002 | ETA 08:12:50 2020-12-17 00:36:23 [INFO] [TRAIN] epoch=10, iter=6580/40000, loss=0.2934, lr=0.008507, batch_cost=0.9488, reader_cost=0.0002 | ETA 08:48:28 2020-12-17 00:36:33 [INFO] [TRAIN] epoch=10, iter=6590/40000, loss=0.2353, lr=0.008504, batch_cost=1.0307, reader_cost=0.0001 | ETA 09:33:54 2020-12-17 00:36:42 [INFO] [TRAIN] epoch=10, iter=6600/40000, loss=0.5141, lr=0.008502, batch_cost=0.8812, reader_cost=0.0001 | ETA 08:10:33 2020-12-17 00:36:51 [INFO] [TRAIN] epoch=10, iter=6610/40000, loss=0.3830, lr=0.008500, batch_cost=0.8759, reader_cost=0.0001 | ETA 08:07:25 2020-12-17 00:37:00 [INFO] [TRAIN] epoch=11, iter=6620/40000, loss=0.3201, lr=0.008498, batch_cost=0.9073, reader_cost=0.0229 | ETA 08:24:45 2020-12-17 00:37:08 [INFO] [TRAIN] epoch=11, iter=6630/40000, loss=0.4829, lr=0.008495, batch_cost=0.8250, reader_cost=0.0001 | ETA 07:38:49 2020-12-17 00:37:16 [INFO] [TRAIN] epoch=11, iter=6640/40000, loss=0.4181, lr=0.008493, batch_cost=0.8068, reader_cost=0.0001 | ETA 07:28:35 2020-12-17 00:37:24 [INFO] [TRAIN] epoch=11, iter=6650/40000, loss=0.2265, lr=0.008491, batch_cost=0.8027, reader_cost=0.0001 | ETA 07:26:09 2020-12-17 00:37:32 [INFO] [TRAIN] epoch=11, iter=6660/40000, loss=0.3597, lr=0.008488, batch_cost=0.8525, reader_cost=0.0001 | ETA 07:53:41 2020-12-17 00:37:41 [INFO] [TRAIN] epoch=11, iter=6670/40000, loss=0.2268, lr=0.008486, batch_cost=0.8833, reader_cost=0.0001 | ETA 08:10:41 2020-12-17 00:37:50 [INFO] [TRAIN] epoch=11, iter=6680/40000, loss=0.6951, lr=0.008484, batch_cost=0.9011, reader_cost=0.0001 | ETA 08:20:23 2020-12-17 00:37:59 [INFO] [TRAIN] epoch=11, iter=6690/40000, loss=0.4518, lr=0.008482, batch_cost=0.9063, reader_cost=0.0001 | ETA 08:23:08 2020-12-17 00:38:10 [INFO] [TRAIN] epoch=11, iter=6700/40000, loss=0.4209, lr=0.008479, batch_cost=1.0125, reader_cost=0.0002 | ETA 09:21:57 2020-12-17 00:38:19 [INFO] [TRAIN] epoch=11, iter=6710/40000, loss=0.3403, lr=0.008477, batch_cost=0.9331, reader_cost=0.0002 | ETA 08:37:42 2020-12-17 00:38:28 [INFO] [TRAIN] epoch=11, iter=6720/40000, loss=0.4304, lr=0.008475, batch_cost=0.8673, reader_cost=0.0002 | ETA 08:01:03 2020-12-17 00:38:37 [INFO] [TRAIN] epoch=11, iter=6730/40000, loss=0.3384, lr=0.008472, batch_cost=0.9518, reader_cost=0.0002 | ETA 08:47:47 2020-12-17 00:38:47 [INFO] [TRAIN] epoch=11, iter=6740/40000, loss=0.2183, lr=0.008470, batch_cost=0.9746, reader_cost=0.0010 | ETA 09:00:15 2020-12-17 00:38:57 [INFO] [TRAIN] epoch=11, iter=6750/40000, loss=0.4169, lr=0.008468, batch_cost=1.0356, reader_cost=0.0016 | ETA 09:33:55 2020-12-17 00:39:07 [INFO] [TRAIN] epoch=11, iter=6760/40000, loss=0.2988, lr=0.008466, batch_cost=0.9410, reader_cost=0.0017 | ETA 08:41:17 2020-12-17 00:39:16 [INFO] [TRAIN] epoch=11, iter=6770/40000, loss=0.3607, lr=0.008463, batch_cost=0.9821, reader_cost=0.0002 | ETA 09:03:54 2020-12-17 00:39:27 [INFO] [TRAIN] epoch=11, iter=6780/40000, loss=0.2592, lr=0.008461, batch_cost=1.0697, reader_cost=0.0001 | ETA 09:52:15 2020-12-17 00:39:37 [INFO] [TRAIN] epoch=11, iter=6790/40000, loss=0.5145, lr=0.008459, batch_cost=0.9921, reader_cost=0.0002 | ETA 09:09:07 2020-12-17 00:39:47 [INFO] [TRAIN] epoch=11, iter=6800/40000, loss=0.4487, lr=0.008456, batch_cost=0.9939, reader_cost=0.0009 | ETA 09:09:57 2020-12-17 00:39:57 [INFO] [TRAIN] epoch=11, iter=6810/40000, loss=0.5117, lr=0.008454, batch_cost=0.9837, reader_cost=0.0002 | ETA 09:04:07 2020-12-17 00:40:06 [INFO] [TRAIN] epoch=11, iter=6820/40000, loss=0.3438, lr=0.008452, batch_cost=0.9679, reader_cost=0.0001 | ETA 08:55:13 2020-12-17 00:40:15 [INFO] [TRAIN] epoch=11, iter=6830/40000, loss=0.4210, lr=0.008449, batch_cost=0.8753, reader_cost=0.0007 | ETA 08:03:53 2020-12-17 00:40:24 [INFO] [TRAIN] epoch=11, iter=6840/40000, loss=0.3693, lr=0.008447, batch_cost=0.8985, reader_cost=0.0002 | ETA 08:16:33 2020-12-17 00:40:35 [INFO] [TRAIN] epoch=11, iter=6850/40000, loss=0.4338, lr=0.008445, batch_cost=1.0415, reader_cost=0.0005 | ETA 09:35:26 2020-12-17 00:40:43 [INFO] [TRAIN] epoch=11, iter=6860/40000, loss=0.3274, lr=0.008443, batch_cost=0.8470, reader_cost=0.0014 | ETA 07:47:48 2020-12-17 00:40:53 [INFO] [TRAIN] epoch=11, iter=6870/40000, loss=0.3717, lr=0.008440, batch_cost=0.9615, reader_cost=0.0002 | ETA 08:50:56 2020-12-17 00:41:03 [INFO] [TRAIN] epoch=11, iter=6880/40000, loss=0.5705, lr=0.008438, batch_cost=0.9865, reader_cost=0.0002 | ETA 09:04:34 2020-12-17 00:41:12 [INFO] [TRAIN] epoch=11, iter=6890/40000, loss=0.3835, lr=0.008436, batch_cost=0.9603, reader_cost=0.0004 | ETA 08:49:55 2020-12-17 00:41:21 [INFO] [TRAIN] epoch=11, iter=6900/40000, loss=0.6484, lr=0.008433, batch_cost=0.9057, reader_cost=0.0002 | ETA 08:19:38 2020-12-17 00:41:30 [INFO] [TRAIN] epoch=11, iter=6910/40000, loss=0.4415, lr=0.008431, batch_cost=0.8873, reader_cost=0.0001 | ETA 08:09:21 2020-12-17 00:41:38 [INFO] [TRAIN] epoch=11, iter=6920/40000, loss=0.2974, lr=0.008429, batch_cost=0.8088, reader_cost=0.0002 | ETA 07:25:54 2020-12-17 00:41:47 [INFO] [TRAIN] epoch=11, iter=6930/40000, loss=0.4860, lr=0.008427, batch_cost=0.9144, reader_cost=0.0002 | ETA 08:23:57 2020-12-17 00:41:56 [INFO] [TRAIN] epoch=11, iter=6940/40000, loss=0.3672, lr=0.008424, batch_cost=0.8652, reader_cost=0.0002 | ETA 07:56:43 2020-12-17 00:42:06 [INFO] [TRAIN] epoch=11, iter=6950/40000, loss=0.4224, lr=0.008422, batch_cost=0.9643, reader_cost=0.0002 | ETA 08:51:10 2020-12-17 00:42:15 [INFO] [TRAIN] epoch=11, iter=6960/40000, loss=0.4501, lr=0.008420, batch_cost=0.8981, reader_cost=0.0014 | ETA 08:14:31 2020-12-17 00:42:24 [INFO] [TRAIN] epoch=11, iter=6970/40000, loss=0.3511, lr=0.008417, batch_cost=0.9160, reader_cost=0.0002 | ETA 08:24:16 2020-12-17 00:42:33 [INFO] [TRAIN] epoch=11, iter=6980/40000, loss=0.6922, lr=0.008415, batch_cost=0.9629, reader_cost=0.0001 | ETA 08:49:54 2020-12-17 00:42:43 [INFO] [TRAIN] epoch=11, iter=6990/40000, loss=0.4531, lr=0.008413, batch_cost=0.9101, reader_cost=0.0002 | ETA 08:20:43 2020-12-17 00:42:51 [INFO] [TRAIN] epoch=11, iter=7000/40000, loss=0.4318, lr=0.008410, batch_cost=0.8818, reader_cost=0.0001 | ETA 08:04:58 2020-12-17 00:42:51 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 00:43:36 [INFO] [EVAL] #Images=1449 mIoU=0.7112 Acc=0.9342 Kappa=0.8568 2020-12-17 00:43:36 [INFO] [EVAL] Class IoU: [0.9337 0.8431 0.4109 0.7334 0.6849 0.6025 0.8975 0.8551 0.792 0.3518 0.7661 0.539 0.7081 0.8276 0.8503 0.8496 0.5866 0.6629 0.5471 0.8569 0.6351] 2020-12-17 00:43:36 [INFO] [EVAL] Class Acc: [0.9687 0.882 0.429 0.8704 0.8768 0.9267 0.9501 0.9316 0.8491 0.5172 0.8654 0.7341 0.753 0.8934 0.907 0.9289 0.7346 0.9586 0.6967 0.9315 0.7213] 2020-12-17 00:43:43 [INFO] [EVAL] The model with the best validation mIoU (0.7190) was saved at iter 4000. 2020-12-17 00:43:52 [INFO] [TRAIN] epoch=11, iter=7010/40000, loss=0.4666, lr=0.008408, batch_cost=0.8877, reader_cost=0.0002 | ETA 08:08:05 2020-12-17 00:44:01 [INFO] [TRAIN] epoch=11, iter=7020/40000, loss=0.3899, lr=0.008406, batch_cost=0.9356, reader_cost=0.0001 | ETA 08:34:16 2020-12-17 00:44:11 [INFO] [TRAIN] epoch=11, iter=7030/40000, loss=0.6337, lr=0.008404, batch_cost=0.9521, reader_cost=0.0006 | ETA 08:43:10 2020-12-17 00:44:20 [INFO] [TRAIN] epoch=11, iter=7040/40000, loss=0.5820, lr=0.008401, batch_cost=0.9513, reader_cost=0.0002 | ETA 08:42:35 2020-12-17 00:44:30 [INFO] [TRAIN] epoch=11, iter=7050/40000, loss=0.3192, lr=0.008399, batch_cost=0.9143, reader_cost=0.0001 | ETA 08:22:06 2020-12-17 00:44:38 [INFO] [TRAIN] epoch=11, iter=7060/40000, loss=0.5382, lr=0.008397, batch_cost=0.8558, reader_cost=0.0001 | ETA 07:49:49 2020-12-17 00:44:47 [INFO] [TRAIN] epoch=11, iter=7070/40000, loss=0.3703, lr=0.008394, batch_cost=0.8890, reader_cost=0.0002 | ETA 08:07:55 2020-12-17 00:44:56 [INFO] [TRAIN] epoch=11, iter=7080/40000, loss=0.3171, lr=0.008392, batch_cost=0.8683, reader_cost=0.0001 | ETA 07:56:24 2020-12-17 00:45:05 [INFO] [TRAIN] epoch=11, iter=7090/40000, loss=0.3020, lr=0.008390, batch_cost=0.9210, reader_cost=0.0001 | ETA 08:25:10 2020-12-17 00:45:15 [INFO] [TRAIN] epoch=11, iter=7100/40000, loss=0.3488, lr=0.008388, batch_cost=1.0276, reader_cost=0.0001 | ETA 09:23:27 2020-12-17 00:45:25 [INFO] [TRAIN] epoch=11, iter=7110/40000, loss=0.4401, lr=0.008385, batch_cost=0.9737, reader_cost=0.0001 | ETA 08:53:43 2020-12-17 00:45:35 [INFO] [TRAIN] epoch=11, iter=7120/40000, loss=0.4170, lr=0.008383, batch_cost=0.9739, reader_cost=0.0002 | ETA 08:53:41 2020-12-17 00:45:43 [INFO] [TRAIN] epoch=11, iter=7130/40000, loss=0.3897, lr=0.008381, batch_cost=0.8440, reader_cost=0.0002 | ETA 07:42:20 2020-12-17 00:45:53 [INFO] [TRAIN] epoch=11, iter=7140/40000, loss=0.5885, lr=0.008378, batch_cost=0.9906, reader_cost=0.0001 | ETA 09:02:30 2020-12-17 00:46:02 [INFO] [TRAIN] epoch=11, iter=7150/40000, loss=0.3956, lr=0.008376, batch_cost=0.9233, reader_cost=0.0001 | ETA 08:25:29 2020-12-17 00:46:11 [INFO] [TRAIN] epoch=11, iter=7160/40000, loss=0.4041, lr=0.008374, batch_cost=0.9005, reader_cost=0.0002 | ETA 08:12:51 2020-12-17 00:46:22 [INFO] [TRAIN] epoch=11, iter=7170/40000, loss=0.3369, lr=0.008371, batch_cost=1.0214, reader_cost=0.0001 | ETA 09:18:51 2020-12-17 00:46:32 [INFO] [TRAIN] epoch=11, iter=7180/40000, loss=0.3616, lr=0.008369, batch_cost=1.0095, reader_cost=0.0002 | ETA 09:12:10 2020-12-17 00:46:41 [INFO] [TRAIN] epoch=11, iter=7190/40000, loss=0.5818, lr=0.008367, batch_cost=0.9366, reader_cost=0.0002 | ETA 08:32:08 2020-12-17 00:46:51 [INFO] [TRAIN] epoch=11, iter=7200/40000, loss=0.3303, lr=0.008365, batch_cost=0.9545, reader_cost=0.0002 | ETA 08:41:49 2020-12-17 00:47:00 [INFO] [TRAIN] epoch=11, iter=7210/40000, loss=0.3049, lr=0.008362, batch_cost=0.9531, reader_cost=0.0001 | ETA 08:40:50 2020-12-17 00:47:10 [INFO] [TRAIN] epoch=11, iter=7220/40000, loss=0.4523, lr=0.008360, batch_cost=0.9867, reader_cost=0.0002 | ETA 08:59:02 2020-12-17 00:47:20 [INFO] [TRAIN] epoch=11, iter=7230/40000, loss=0.3617, lr=0.008358, batch_cost=1.0168, reader_cost=0.0002 | ETA 09:15:20 2020-12-17 00:47:29 [INFO] [TRAIN] epoch=11, iter=7240/40000, loss=0.3020, lr=0.008355, batch_cost=0.9157, reader_cost=0.0001 | ETA 08:19:59 2020-12-17 00:47:37 [INFO] [TRAIN] epoch=11, iter=7250/40000, loss=0.3868, lr=0.008353, batch_cost=0.8049, reader_cost=0.0001 | ETA 07:19:22 2020-12-17 00:47:47 [INFO] [TRAIN] epoch=11, iter=7260/40000, loss=0.5982, lr=0.008351, batch_cost=0.9502, reader_cost=0.0002 | ETA 08:38:29 2020-12-17 00:47:57 [INFO] [TRAIN] epoch=11, iter=7270/40000, loss=0.3354, lr=0.008349, batch_cost=1.0033, reader_cost=0.0011 | ETA 09:07:17 2020-12-17 00:48:07 [INFO] [TRAIN] epoch=12, iter=7280/40000, loss=0.4386, lr=0.008346, batch_cost=0.9684, reader_cost=0.0247 | ETA 08:48:07 2020-12-17 00:48:16 [INFO] [TRAIN] epoch=12, iter=7290/40000, loss=0.4807, lr=0.008344, batch_cost=0.9621, reader_cost=0.0002 | ETA 08:44:30 2020-12-17 00:48:26 [INFO] [TRAIN] epoch=12, iter=7300/40000, loss=0.2841, lr=0.008342, batch_cost=0.9359, reader_cost=0.0002 | ETA 08:30:03 2020-12-17 00:48:35 [INFO] [TRAIN] epoch=12, iter=7310/40000, loss=0.3237, lr=0.008339, batch_cost=0.9285, reader_cost=0.0002 | ETA 08:25:51 2020-12-17 00:48:44 [INFO] [TRAIN] epoch=12, iter=7320/40000, loss=0.6250, lr=0.008337, batch_cost=0.9555, reader_cost=0.0001 | ETA 08:40:25 2020-12-17 00:48:57 [INFO] [TRAIN] epoch=12, iter=7330/40000, loss=0.3297, lr=0.008335, batch_cost=1.2774, reader_cost=0.0001 | ETA 11:35:32 2020-12-17 00:49:06 [INFO] [TRAIN] epoch=12, iter=7340/40000, loss=0.4821, lr=0.008332, batch_cost=0.8564, reader_cost=0.0001 | ETA 07:46:10 2020-12-17 00:49:15 [INFO] [TRAIN] epoch=12, iter=7350/40000, loss=0.3931, lr=0.008330, batch_cost=0.9275, reader_cost=0.0001 | ETA 08:24:42 2020-12-17 00:49:23 [INFO] [TRAIN] epoch=12, iter=7360/40000, loss=0.5219, lr=0.008328, batch_cost=0.8013, reader_cost=0.0001 | ETA 07:15:54 2020-12-17 00:49:31 [INFO] [TRAIN] epoch=12, iter=7370/40000, loss=0.4407, lr=0.008326, batch_cost=0.7859, reader_cost=0.0001 | ETA 07:07:22 2020-12-17 00:49:40 [INFO] [TRAIN] epoch=12, iter=7380/40000, loss=0.3677, lr=0.008323, batch_cost=0.8890, reader_cost=0.0002 | ETA 08:03:18 2020-12-17 00:49:49 [INFO] [TRAIN] epoch=12, iter=7390/40000, loss=0.3854, lr=0.008321, batch_cost=0.8834, reader_cost=0.0001 | ETA 08:00:07 2020-12-17 00:49:58 [INFO] [TRAIN] epoch=12, iter=7400/40000, loss=0.4138, lr=0.008319, batch_cost=0.9873, reader_cost=0.0002 | ETA 08:56:27 2020-12-17 00:50:08 [INFO] [TRAIN] epoch=12, iter=7410/40000, loss=0.3105, lr=0.008316, batch_cost=0.9196, reader_cost=0.0013 | ETA 08:19:30 2020-12-17 00:50:17 [INFO] [TRAIN] epoch=12, iter=7420/40000, loss=0.3119, lr=0.008314, batch_cost=0.8966, reader_cost=0.0002 | ETA 08:06:51 2020-12-17 00:50:27 [INFO] [TRAIN] epoch=12, iter=7430/40000, loss=0.3969, lr=0.008312, batch_cost=0.9917, reader_cost=0.0004 | ETA 08:58:19 2020-12-17 00:50:35 [INFO] [TRAIN] epoch=12, iter=7440/40000, loss=0.3821, lr=0.008309, batch_cost=0.8806, reader_cost=0.0001 | ETA 07:57:53 2020-12-17 00:50:44 [INFO] [TRAIN] epoch=12, iter=7450/40000, loss=0.5606, lr=0.008307, batch_cost=0.8576, reader_cost=0.0002 | ETA 07:45:13 2020-12-17 00:50:54 [INFO] [TRAIN] epoch=12, iter=7460/40000, loss=0.4541, lr=0.008305, batch_cost=1.0177, reader_cost=0.0002 | ETA 09:11:56 2020-12-17 00:51:05 [INFO] [TRAIN] epoch=12, iter=7470/40000, loss=0.5442, lr=0.008303, batch_cost=1.0610, reader_cost=0.0002 | ETA 09:35:13 2020-12-17 00:51:14 [INFO] [TRAIN] epoch=12, iter=7480/40000, loss=0.2529, lr=0.008300, batch_cost=0.9547, reader_cost=0.0002 | ETA 08:37:25 2020-12-17 00:51:25 [INFO] [TRAIN] epoch=12, iter=7490/40000, loss=0.4896, lr=0.008298, batch_cost=1.0350, reader_cost=0.0002 | ETA 09:20:47 2020-12-17 00:51:34 [INFO] [TRAIN] epoch=12, iter=7500/40000, loss=0.3634, lr=0.008296, batch_cost=0.9502, reader_cost=0.0002 | ETA 08:34:40 2020-12-17 00:51:44 [INFO] [TRAIN] epoch=12, iter=7510/40000, loss=0.4421, lr=0.008293, batch_cost=0.9791, reader_cost=0.0002 | ETA 08:50:10 2020-12-17 00:51:54 [INFO] [TRAIN] epoch=12, iter=7520/40000, loss=0.4988, lr=0.008291, batch_cost=1.0119, reader_cost=0.0001 | ETA 09:07:47 2020-12-17 00:52:03 [INFO] [TRAIN] epoch=12, iter=7530/40000, loss=0.2544, lr=0.008289, batch_cost=0.9224, reader_cost=0.0002 | ETA 08:19:10 2020-12-17 00:52:13 [INFO] [TRAIN] epoch=12, iter=7540/40000, loss=0.3440, lr=0.008287, batch_cost=0.9488, reader_cost=0.0004 | ETA 08:33:17 2020-12-17 00:52:21 [INFO] [TRAIN] epoch=12, iter=7550/40000, loss=0.3582, lr=0.008284, batch_cost=0.8587, reader_cost=0.0002 | ETA 07:44:23 2020-12-17 00:52:30 [INFO] [TRAIN] epoch=12, iter=7560/40000, loss=0.3034, lr=0.008282, batch_cost=0.9073, reader_cost=0.0006 | ETA 08:10:32 2020-12-17 00:52:40 [INFO] [TRAIN] epoch=12, iter=7570/40000, loss=0.7391, lr=0.008280, batch_cost=0.9821, reader_cost=0.0014 | ETA 08:50:49 2020-12-17 00:52:50 [INFO] [TRAIN] epoch=12, iter=7580/40000, loss=0.3604, lr=0.008277, batch_cost=1.0147, reader_cost=0.0002 | ETA 09:08:17 2020-12-17 00:53:01 [INFO] [TRAIN] epoch=12, iter=7590/40000, loss=0.3446, lr=0.008275, batch_cost=1.0424, reader_cost=0.0002 | ETA 09:23:04 2020-12-17 00:53:10 [INFO] [TRAIN] epoch=12, iter=7600/40000, loss=0.3516, lr=0.008273, batch_cost=0.9125, reader_cost=0.0002 | ETA 08:12:44 2020-12-17 00:53:20 [INFO] [TRAIN] epoch=12, iter=7610/40000, loss=0.3416, lr=0.008270, batch_cost=1.0043, reader_cost=0.0001 | ETA 09:02:08 2020-12-17 00:53:29 [INFO] [TRAIN] epoch=12, iter=7620/40000, loss=0.2889, lr=0.008268, batch_cost=0.8601, reader_cost=0.0001 | ETA 07:44:08 2020-12-17 00:53:38 [INFO] [TRAIN] epoch=12, iter=7630/40000, loss=0.3590, lr=0.008266, batch_cost=0.9197, reader_cost=0.0006 | ETA 08:16:12 2020-12-17 00:53:47 [INFO] [TRAIN] epoch=12, iter=7640/40000, loss=0.5476, lr=0.008264, batch_cost=0.9466, reader_cost=0.0002 | ETA 08:30:31 2020-12-17 00:53:57 [INFO] [TRAIN] epoch=12, iter=7650/40000, loss=0.3765, lr=0.008261, batch_cost=0.9470, reader_cost=0.0001 | ETA 08:30:34 2020-12-17 00:54:05 [INFO] [TRAIN] epoch=12, iter=7660/40000, loss=0.4838, lr=0.008259, batch_cost=0.8542, reader_cost=0.0001 | ETA 07:40:26 2020-12-17 00:54:14 [INFO] [TRAIN] epoch=12, iter=7670/40000, loss=0.3450, lr=0.008257, batch_cost=0.8444, reader_cost=0.0001 | ETA 07:34:58 2020-12-17 00:54:23 [INFO] [TRAIN] epoch=12, iter=7680/40000, loss=0.5849, lr=0.008254, batch_cost=0.9120, reader_cost=0.0001 | ETA 08:11:14 2020-12-17 00:54:31 [INFO] [TRAIN] epoch=12, iter=7690/40000, loss=0.8325, lr=0.008252, batch_cost=0.8256, reader_cost=0.0001 | ETA 07:24:36 2020-12-17 00:54:40 [INFO] [TRAIN] epoch=12, iter=7700/40000, loss=0.4281, lr=0.008250, batch_cost=0.8822, reader_cost=0.0001 | ETA 07:54:55 2020-12-17 00:54:49 [INFO] [TRAIN] epoch=12, iter=7710/40000, loss=0.4768, lr=0.008247, batch_cost=0.8808, reader_cost=0.0001 | ETA 07:54:02 2020-12-17 00:54:57 [INFO] [TRAIN] epoch=12, iter=7720/40000, loss=0.5118, lr=0.008245, batch_cost=0.8212, reader_cost=0.0001 | ETA 07:21:46 2020-12-17 00:55:05 [INFO] [TRAIN] epoch=12, iter=7730/40000, loss=0.4471, lr=0.008243, batch_cost=0.7694, reader_cost=0.0001 | ETA 06:53:50 2020-12-17 00:55:15 [INFO] [TRAIN] epoch=12, iter=7740/40000, loss=0.4810, lr=0.008241, batch_cost=1.0274, reader_cost=0.0001 | ETA 09:12:23 2020-12-17 00:55:25 [INFO] [TRAIN] epoch=12, iter=7750/40000, loss=0.3616, lr=0.008238, batch_cost=0.9936, reader_cost=0.0002 | ETA 08:54:03 2020-12-17 00:55:35 [INFO] [TRAIN] epoch=12, iter=7760/40000, loss=0.3514, lr=0.008236, batch_cost=1.0201, reader_cost=0.0002 | ETA 09:08:06 2020-12-17 00:55:44 [INFO] [TRAIN] epoch=12, iter=7770/40000, loss=0.4335, lr=0.008234, batch_cost=0.8962, reader_cost=0.0002 | ETA 08:01:25 2020-12-17 00:55:53 [INFO] [TRAIN] epoch=12, iter=7780/40000, loss=0.5763, lr=0.008231, batch_cost=0.8960, reader_cost=0.0001 | ETA 08:01:09 2020-12-17 00:56:02 [INFO] [TRAIN] epoch=12, iter=7790/40000, loss=0.4627, lr=0.008229, batch_cost=0.9253, reader_cost=0.0001 | ETA 08:16:43 2020-12-17 00:56:11 [INFO] [TRAIN] epoch=12, iter=7800/40000, loss=0.4786, lr=0.008227, batch_cost=0.9220, reader_cost=0.0001 | ETA 08:14:46 2020-12-17 00:56:22 [INFO] [TRAIN] epoch=12, iter=7810/40000, loss=0.3922, lr=0.008224, batch_cost=1.0535, reader_cost=0.0002 | ETA 09:25:11 2020-12-17 00:56:31 [INFO] [TRAIN] epoch=12, iter=7820/40000, loss=0.4265, lr=0.008222, batch_cost=0.8619, reader_cost=0.0002 | ETA 07:42:17 2020-12-17 00:56:39 [INFO] [TRAIN] epoch=12, iter=7830/40000, loss=0.3731, lr=0.008220, batch_cost=0.8272, reader_cost=0.0001 | ETA 07:23:30 2020-12-17 00:56:48 [INFO] [TRAIN] epoch=12, iter=7840/40000, loss=0.5569, lr=0.008218, batch_cost=0.9026, reader_cost=0.0002 | ETA 08:03:46 2020-12-17 00:56:58 [INFO] [TRAIN] epoch=12, iter=7850/40000, loss=0.4437, lr=0.008215, batch_cost=0.9662, reader_cost=0.0001 | ETA 08:37:43 2020-12-17 00:57:08 [INFO] [TRAIN] epoch=12, iter=7860/40000, loss=0.3526, lr=0.008213, batch_cost=1.0179, reader_cost=0.0002 | ETA 09:05:15 2020-12-17 00:57:17 [INFO] [TRAIN] epoch=12, iter=7870/40000, loss=0.2865, lr=0.008211, batch_cost=0.9650, reader_cost=0.0002 | ETA 08:36:45 2020-12-17 00:57:28 [INFO] [TRAIN] epoch=12, iter=7880/40000, loss=0.4822, lr=0.008208, batch_cost=1.0666, reader_cost=0.0001 | ETA 09:30:58 2020-12-17 00:57:38 [INFO] [TRAIN] epoch=12, iter=7890/40000, loss=0.3977, lr=0.008206, batch_cost=0.9863, reader_cost=0.0002 | ETA 08:47:49 2020-12-17 00:57:47 [INFO] [TRAIN] epoch=12, iter=7900/40000, loss=0.3122, lr=0.008204, batch_cost=0.9307, reader_cost=0.0001 | ETA 08:17:55 2020-12-17 00:57:56 [INFO] [TRAIN] epoch=12, iter=7910/40000, loss=0.7269, lr=0.008201, batch_cost=0.9208, reader_cost=0.0014 | ETA 08:12:29 2020-12-17 00:58:06 [INFO] [TRAIN] epoch=12, iter=7920/40000, loss=0.5591, lr=0.008199, batch_cost=0.9248, reader_cost=0.0001 | ETA 08:14:27 2020-12-17 00:58:14 [INFO] [TRAIN] epoch=12, iter=7930/40000, loss=0.3845, lr=0.008197, batch_cost=0.8795, reader_cost=0.0001 | ETA 07:50:04 2020-12-17 00:58:24 [INFO] [TRAIN] epoch=13, iter=7940/40000, loss=0.4830, lr=0.008195, batch_cost=0.9346, reader_cost=0.0368 | ETA 08:19:23 2020-12-17 00:58:34 [INFO] [TRAIN] epoch=13, iter=7950/40000, loss=0.3603, lr=0.008192, batch_cost=1.0259, reader_cost=0.0002 | ETA 09:07:59 2020-12-17 00:58:44 [INFO] [TRAIN] epoch=13, iter=7960/40000, loss=0.3726, lr=0.008190, batch_cost=0.9716, reader_cost=0.0001 | ETA 08:38:50 2020-12-17 00:58:54 [INFO] [TRAIN] epoch=13, iter=7970/40000, loss=0.3987, lr=0.008188, batch_cost=1.0613, reader_cost=0.0001 | ETA 09:26:33 2020-12-17 00:59:04 [INFO] [TRAIN] epoch=13, iter=7980/40000, loss=0.3341, lr=0.008185, batch_cost=0.9220, reader_cost=0.0001 | ETA 08:12:01 2020-12-17 00:59:13 [INFO] [TRAIN] epoch=13, iter=7990/40000, loss=0.3344, lr=0.008183, batch_cost=0.9576, reader_cost=0.0001 | ETA 08:30:52 2020-12-17 00:59:22 [INFO] [TRAIN] epoch=13, iter=8000/40000, loss=0.3421, lr=0.008181, batch_cost=0.8604, reader_cost=0.0002 | ETA 07:38:51 2020-12-17 00:59:22 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 01:00:09 [INFO] [EVAL] #Images=1449 mIoU=0.7515 Acc=0.9421 Kappa=0.8734 2020-12-17 01:00:09 [INFO] [EVAL] Class IoU: [0.936 0.8919 0.4108 0.8236 0.5781 0.7819 0.9287 0.8525 0.9082 0.3397 0.8399 0.5018 0.8224 0.8415 0.8231 0.8596 0.6291 0.8609 0.5321 0.8678 0.7523] 2020-12-17 01:00:09 [INFO] [EVAL] Class Acc: [0.9677 0.9378 0.4215 0.9779 0.6432 0.8658 0.9522 0.9203 0.9517 0.5903 0.9304 0.907 0.8995 0.943 0.8543 0.9363 0.7157 0.9293 0.6301 0.921 0.892 ] 2020-12-17 01:00:24 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 01:00:33 [INFO] [TRAIN] epoch=13, iter=8010/40000, loss=0.3938, lr=0.008178, batch_cost=0.9322, reader_cost=0.0002 | ETA 08:17:01 2020-12-17 01:00:41 [INFO] [TRAIN] epoch=13, iter=8020/40000, loss=0.2879, lr=0.008176, batch_cost=0.7819, reader_cost=0.0013 | ETA 06:56:46 2020-12-17 01:00:49 [INFO] [TRAIN] epoch=13, iter=8030/40000, loss=0.4899, lr=0.008174, batch_cost=0.7931, reader_cost=0.0001 | ETA 07:02:35 2020-12-17 01:00:57 [INFO] [TRAIN] epoch=13, iter=8040/40000, loss=0.4078, lr=0.008172, batch_cost=0.8405, reader_cost=0.0001 | ETA 07:27:41 2020-12-17 01:01:04 [INFO] [TRAIN] epoch=13, iter=8050/40000, loss=0.4104, lr=0.008169, batch_cost=0.7211, reader_cost=0.0001 | ETA 06:24:00 2020-12-17 01:01:13 [INFO] [TRAIN] epoch=13, iter=8060/40000, loss=0.4888, lr=0.008167, batch_cost=0.8506, reader_cost=0.0001 | ETA 07:32:49 2020-12-17 01:01:21 [INFO] [TRAIN] epoch=13, iter=8070/40000, loss=0.3633, lr=0.008165, batch_cost=0.7965, reader_cost=0.0001 | ETA 07:03:51 2020-12-17 01:01:29 [INFO] [TRAIN] epoch=13, iter=8080/40000, loss=0.5204, lr=0.008162, batch_cost=0.8493, reader_cost=0.0002 | ETA 07:31:50 2020-12-17 01:01:38 [INFO] [TRAIN] epoch=13, iter=8090/40000, loss=0.4485, lr=0.008160, batch_cost=0.8790, reader_cost=0.0001 | ETA 07:47:30 2020-12-17 01:01:47 [INFO] [TRAIN] epoch=13, iter=8100/40000, loss=0.7592, lr=0.008158, batch_cost=0.9289, reader_cost=0.0001 | ETA 08:13:52 2020-12-17 01:01:56 [INFO] [TRAIN] epoch=13, iter=8110/40000, loss=0.4409, lr=0.008155, batch_cost=0.9008, reader_cost=0.0002 | ETA 07:58:45 2020-12-17 01:02:05 [INFO] [TRAIN] epoch=13, iter=8120/40000, loss=0.3521, lr=0.008153, batch_cost=0.9025, reader_cost=0.0002 | ETA 07:59:33 2020-12-17 01:02:14 [INFO] [TRAIN] epoch=13, iter=8130/40000, loss=0.3801, lr=0.008151, batch_cost=0.9095, reader_cost=0.0001 | ETA 08:03:05 2020-12-17 01:02:23 [INFO] [TRAIN] epoch=13, iter=8140/40000, loss=0.3225, lr=0.008149, batch_cost=0.8889, reader_cost=0.0001 | ETA 07:51:59 2020-12-17 01:02:33 [INFO] [TRAIN] epoch=13, iter=8150/40000, loss=0.3867, lr=0.008146, batch_cost=0.9579, reader_cost=0.0002 | ETA 08:28:27 2020-12-17 01:02:42 [INFO] [TRAIN] epoch=13, iter=8160/40000, loss=0.3465, lr=0.008144, batch_cost=0.9127, reader_cost=0.0002 | ETA 08:04:19 2020-12-17 01:02:52 [INFO] [TRAIN] epoch=13, iter=8170/40000, loss=0.3037, lr=0.008142, batch_cost=0.9965, reader_cost=0.0002 | ETA 08:48:38 2020-12-17 01:03:01 [INFO] [TRAIN] epoch=13, iter=8180/40000, loss=0.3734, lr=0.008139, batch_cost=0.8612, reader_cost=0.0002 | ETA 07:36:41 2020-12-17 01:03:09 [INFO] [TRAIN] epoch=13, iter=8190/40000, loss=0.3400, lr=0.008137, batch_cost=0.8459, reader_cost=0.0002 | ETA 07:28:27 2020-12-17 01:03:18 [INFO] [TRAIN] epoch=13, iter=8200/40000, loss=0.5034, lr=0.008135, batch_cost=0.8541, reader_cost=0.0013 | ETA 07:32:41 2020-12-17 01:03:26 [INFO] [TRAIN] epoch=13, iter=8210/40000, loss=0.4674, lr=0.008132, batch_cost=0.8282, reader_cost=0.0001 | ETA 07:18:48 2020-12-17 01:03:36 [INFO] [TRAIN] epoch=13, iter=8220/40000, loss=0.4435, lr=0.008130, batch_cost=0.9709, reader_cost=0.0001 | ETA 08:34:15 2020-12-17 01:03:43 [INFO] [TRAIN] epoch=13, iter=8230/40000, loss=0.3196, lr=0.008128, batch_cost=0.7479, reader_cost=0.0001 | ETA 06:35:59 2020-12-17 01:03:51 [INFO] [TRAIN] epoch=13, iter=8240/40000, loss=0.5525, lr=0.008126, batch_cost=0.7917, reader_cost=0.0001 | ETA 06:59:04 2020-12-17 01:04:00 [INFO] [TRAIN] epoch=13, iter=8250/40000, loss=0.4820, lr=0.008123, batch_cost=0.9058, reader_cost=0.0001 | ETA 07:59:18 2020-12-17 01:04:10 [INFO] [TRAIN] epoch=13, iter=8260/40000, loss=0.3687, lr=0.008121, batch_cost=0.9858, reader_cost=0.0002 | ETA 08:41:28 2020-12-17 01:04:20 [INFO] [TRAIN] epoch=13, iter=8270/40000, loss=0.5189, lr=0.008119, batch_cost=0.9907, reader_cost=0.0002 | ETA 08:43:53 2020-12-17 01:04:29 [INFO] [TRAIN] epoch=13, iter=8280/40000, loss=0.3739, lr=0.008116, batch_cost=0.9534, reader_cost=0.0002 | ETA 08:24:00 2020-12-17 01:04:39 [INFO] [TRAIN] epoch=13, iter=8290/40000, loss=0.4630, lr=0.008114, batch_cost=0.9511, reader_cost=0.0011 | ETA 08:22:39 2020-12-17 01:04:48 [INFO] [TRAIN] epoch=13, iter=8300/40000, loss=0.3567, lr=0.008112, batch_cost=0.9517, reader_cost=0.0001 | ETA 08:22:47 2020-12-17 01:04:58 [INFO] [TRAIN] epoch=13, iter=8310/40000, loss=0.3988, lr=0.008109, batch_cost=0.9460, reader_cost=0.0002 | ETA 08:19:37 2020-12-17 01:05:07 [INFO] [TRAIN] epoch=13, iter=8320/40000, loss=0.4382, lr=0.008107, batch_cost=0.9504, reader_cost=0.0002 | ETA 08:21:47 2020-12-17 01:05:17 [INFO] [TRAIN] epoch=13, iter=8330/40000, loss=0.4380, lr=0.008105, batch_cost=0.9884, reader_cost=0.0002 | ETA 08:41:42 2020-12-17 01:05:26 [INFO] [TRAIN] epoch=13, iter=8340/40000, loss=0.3504, lr=0.008102, batch_cost=0.8622, reader_cost=0.0001 | ETA 07:34:57 2020-12-17 01:05:35 [INFO] [TRAIN] epoch=13, iter=8350/40000, loss=0.5196, lr=0.008100, batch_cost=0.9055, reader_cost=0.0002 | ETA 07:57:40 2020-12-17 01:05:45 [INFO] [TRAIN] epoch=13, iter=8360/40000, loss=0.5814, lr=0.008098, batch_cost=1.0274, reader_cost=0.0002 | ETA 09:01:45 2020-12-17 01:05:54 [INFO] [TRAIN] epoch=13, iter=8370/40000, loss=0.6312, lr=0.008096, batch_cost=0.8450, reader_cost=0.0001 | ETA 07:25:25 2020-12-17 01:06:02 [INFO] [TRAIN] epoch=13, iter=8380/40000, loss=0.3214, lr=0.008093, batch_cost=0.8845, reader_cost=0.0001 | ETA 07:46:08 2020-12-17 01:06:11 [INFO] [TRAIN] epoch=13, iter=8390/40000, loss=0.4494, lr=0.008091, batch_cost=0.8981, reader_cost=0.0006 | ETA 07:53:09 2020-12-17 01:06:21 [INFO] [TRAIN] epoch=13, iter=8400/40000, loss=0.4263, lr=0.008089, batch_cost=0.9166, reader_cost=0.0001 | ETA 08:02:43 2020-12-17 01:06:30 [INFO] [TRAIN] epoch=13, iter=8410/40000, loss=0.8133, lr=0.008086, batch_cost=0.8997, reader_cost=0.0002 | ETA 07:53:41 2020-12-17 01:06:38 [INFO] [TRAIN] epoch=13, iter=8420/40000, loss=0.3755, lr=0.008084, batch_cost=0.8491, reader_cost=0.0001 | ETA 07:26:54 2020-12-17 01:06:47 [INFO] [TRAIN] epoch=13, iter=8430/40000, loss=0.6670, lr=0.008082, batch_cost=0.8754, reader_cost=0.0001 | ETA 07:40:36 2020-12-17 01:06:57 [INFO] [TRAIN] epoch=13, iter=8440/40000, loss=0.4713, lr=0.008079, batch_cost=0.9973, reader_cost=0.0002 | ETA 08:44:35 2020-12-17 01:07:06 [INFO] [TRAIN] epoch=13, iter=8450/40000, loss=0.4617, lr=0.008077, batch_cost=0.9462, reader_cost=0.0002 | ETA 08:17:32 2020-12-17 01:07:14 [INFO] [TRAIN] epoch=13, iter=8460/40000, loss=0.3580, lr=0.008075, batch_cost=0.7910, reader_cost=0.0001 | ETA 06:55:47 2020-12-17 01:07:22 [INFO] [TRAIN] epoch=13, iter=8470/40000, loss=0.3472, lr=0.008073, batch_cost=0.7744, reader_cost=0.0001 | ETA 06:46:56 2020-12-17 01:07:30 [INFO] [TRAIN] epoch=13, iter=8480/40000, loss=0.3404, lr=0.008070, batch_cost=0.8355, reader_cost=0.0001 | ETA 07:18:53 2020-12-17 01:07:38 [INFO] [TRAIN] epoch=13, iter=8490/40000, loss=0.2557, lr=0.008068, batch_cost=0.7303, reader_cost=0.0001 | ETA 06:23:30 2020-12-17 01:07:46 [INFO] [TRAIN] epoch=13, iter=8500/40000, loss=0.3517, lr=0.008066, batch_cost=0.8417, reader_cost=0.0001 | ETA 07:21:55 2020-12-17 01:07:56 [INFO] [TRAIN] epoch=13, iter=8510/40000, loss=0.3859, lr=0.008063, batch_cost=1.0262, reader_cost=0.0014 | ETA 08:58:35 2020-12-17 01:08:06 [INFO] [TRAIN] epoch=13, iter=8520/40000, loss=0.4177, lr=0.008061, batch_cost=1.0035, reader_cost=0.0002 | ETA 08:46:29 2020-12-17 01:08:15 [INFO] [TRAIN] epoch=13, iter=8530/40000, loss=0.4102, lr=0.008059, batch_cost=0.8563, reader_cost=0.0004 | ETA 07:29:08 2020-12-17 01:08:24 [INFO] [TRAIN] epoch=13, iter=8540/40000, loss=0.3402, lr=0.008056, batch_cost=0.9257, reader_cost=0.0001 | ETA 08:05:23 2020-12-17 01:08:34 [INFO] [TRAIN] epoch=13, iter=8550/40000, loss=0.2860, lr=0.008054, batch_cost=1.0150, reader_cost=0.0001 | ETA 08:52:02 2020-12-17 01:08:44 [INFO] [TRAIN] epoch=13, iter=8560/40000, loss=0.4345, lr=0.008052, batch_cost=0.9713, reader_cost=0.0001 | ETA 08:28:56 2020-12-17 01:08:54 [INFO] [TRAIN] epoch=13, iter=8570/40000, loss=0.3774, lr=0.008049, batch_cost=0.9835, reader_cost=0.0002 | ETA 08:35:11 2020-12-17 01:09:03 [INFO] [TRAIN] epoch=13, iter=8580/40000, loss=0.2948, lr=0.008047, batch_cost=0.9281, reader_cost=0.0015 | ETA 08:06:00 2020-12-17 01:09:12 [INFO] [TRAIN] epoch=13, iter=8590/40000, loss=0.5048, lr=0.008045, batch_cost=0.8921, reader_cost=0.0002 | ETA 07:47:01 2020-12-17 01:09:23 [INFO] [TRAIN] epoch=14, iter=8600/40000, loss=0.5301, lr=0.008043, batch_cost=1.0956, reader_cost=0.0394 | ETA 09:33:20 2020-12-17 01:09:33 [INFO] [TRAIN] epoch=14, iter=8610/40000, loss=0.2980, lr=0.008040, batch_cost=0.9970, reader_cost=0.0002 | ETA 08:41:35 2020-12-17 01:09:42 [INFO] [TRAIN] epoch=14, iter=8620/40000, loss=0.3216, lr=0.008038, batch_cost=0.9438, reader_cost=0.0002 | ETA 08:13:35 2020-12-17 01:09:52 [INFO] [TRAIN] epoch=14, iter=8630/40000, loss=0.3133, lr=0.008036, batch_cost=0.9191, reader_cost=0.0001 | ETA 08:00:31 2020-12-17 01:10:01 [INFO] [TRAIN] epoch=14, iter=8640/40000, loss=0.3555, lr=0.008033, batch_cost=0.9422, reader_cost=0.0001 | ETA 08:12:28 2020-12-17 01:10:10 [INFO] [TRAIN] epoch=14, iter=8650/40000, loss=0.5007, lr=0.008031, batch_cost=0.9450, reader_cost=0.0002 | ETA 08:13:44 2020-12-17 01:10:20 [INFO] [TRAIN] epoch=14, iter=8660/40000, loss=0.5590, lr=0.008029, batch_cost=0.9600, reader_cost=0.0002 | ETA 08:21:27 2020-12-17 01:10:30 [INFO] [TRAIN] epoch=14, iter=8670/40000, loss=0.4490, lr=0.008026, batch_cost=0.9708, reader_cost=0.0001 | ETA 08:26:55 2020-12-17 01:10:40 [INFO] [TRAIN] epoch=14, iter=8680/40000, loss=0.6594, lr=0.008024, batch_cost=1.0668, reader_cost=0.0002 | ETA 09:16:51 2020-12-17 01:10:50 [INFO] [TRAIN] epoch=14, iter=8690/40000, loss=0.3112, lr=0.008022, batch_cost=0.9189, reader_cost=0.0002 | ETA 07:59:29 2020-12-17 01:10:59 [INFO] [TRAIN] epoch=14, iter=8700/40000, loss=0.3053, lr=0.008020, batch_cost=0.9590, reader_cost=0.0001 | ETA 08:20:16 2020-12-17 01:11:09 [INFO] [TRAIN] epoch=14, iter=8710/40000, loss=0.4171, lr=0.008017, batch_cost=0.9919, reader_cost=0.0002 | ETA 08:37:16 2020-12-17 01:11:20 [INFO] [TRAIN] epoch=14, iter=8720/40000, loss=0.2778, lr=0.008015, batch_cost=1.0843, reader_cost=0.0002 | ETA 09:25:16 2020-12-17 01:11:29 [INFO] [TRAIN] epoch=14, iter=8730/40000, loss=0.3585, lr=0.008013, batch_cost=0.9348, reader_cost=0.0001 | ETA 08:07:10 2020-12-17 01:11:38 [INFO] [TRAIN] epoch=14, iter=8740/40000, loss=0.3563, lr=0.008010, batch_cost=0.8969, reader_cost=0.0002 | ETA 07:47:16 2020-12-17 01:11:47 [INFO] [TRAIN] epoch=14, iter=8750/40000, loss=0.3134, lr=0.008008, batch_cost=0.8963, reader_cost=0.0001 | ETA 07:46:49 2020-12-17 01:11:56 [INFO] [TRAIN] epoch=14, iter=8760/40000, loss=0.4367, lr=0.008006, batch_cost=0.8989, reader_cost=0.0014 | ETA 07:48:00 2020-12-17 01:12:06 [INFO] [TRAIN] epoch=14, iter=8770/40000, loss=0.3639, lr=0.008003, batch_cost=0.9244, reader_cost=0.0001 | ETA 08:01:09 2020-12-17 01:12:15 [INFO] [TRAIN] epoch=14, iter=8780/40000, loss=0.3973, lr=0.008001, batch_cost=0.9055, reader_cost=0.0003 | ETA 07:51:08 2020-12-17 01:12:24 [INFO] [TRAIN] epoch=14, iter=8790/40000, loss=0.3757, lr=0.007999, batch_cost=0.9224, reader_cost=0.0011 | ETA 07:59:49 2020-12-17 01:12:34 [INFO] [TRAIN] epoch=14, iter=8800/40000, loss=0.3784, lr=0.007996, batch_cost=1.0036, reader_cost=0.0001 | ETA 08:41:52 2020-12-17 01:12:42 [INFO] [TRAIN] epoch=14, iter=8810/40000, loss=0.3454, lr=0.007994, batch_cost=0.8550, reader_cost=0.0001 | ETA 07:24:28 2020-12-17 01:12:52 [INFO] [TRAIN] epoch=14, iter=8820/40000, loss=0.3517, lr=0.007992, batch_cost=0.9404, reader_cost=0.0001 | ETA 08:08:40 2020-12-17 01:13:01 [INFO] [TRAIN] epoch=14, iter=8830/40000, loss=0.4417, lr=0.007990, batch_cost=0.8929, reader_cost=0.0002 | ETA 07:43:52 2020-12-17 01:13:08 [INFO] [TRAIN] epoch=14, iter=8840/40000, loss=0.3989, lr=0.007987, batch_cost=0.7682, reader_cost=0.0001 | ETA 06:38:56 2020-12-17 01:13:17 [INFO] [TRAIN] epoch=14, iter=8850/40000, loss=0.4068, lr=0.007985, batch_cost=0.8163, reader_cost=0.0001 | ETA 07:03:47 2020-12-17 01:13:24 [INFO] [TRAIN] epoch=14, iter=8860/40000, loss=0.4311, lr=0.007983, batch_cost=0.7508, reader_cost=0.0001 | ETA 06:29:39 2020-12-17 01:13:31 [INFO] [TRAIN] epoch=14, iter=8870/40000, loss=0.3945, lr=0.007980, batch_cost=0.7106, reader_cost=0.0001 | ETA 06:08:40 2020-12-17 01:13:40 [INFO] [TRAIN] epoch=14, iter=8880/40000, loss=0.3466, lr=0.007978, batch_cost=0.8865, reader_cost=0.0001 | ETA 07:39:49 2020-12-17 01:13:50 [INFO] [TRAIN] epoch=14, iter=8890/40000, loss=0.4171, lr=0.007976, batch_cost=0.9827, reader_cost=0.0014 | ETA 08:29:30 2020-12-17 01:13:59 [INFO] [TRAIN] epoch=14, iter=8900/40000, loss=0.5248, lr=0.007973, batch_cost=0.9442, reader_cost=0.0001 | ETA 08:09:25 2020-12-17 01:14:09 [INFO] [TRAIN] epoch=14, iter=8910/40000, loss=0.3925, lr=0.007971, batch_cost=0.9740, reader_cost=0.0002 | ETA 08:24:41 2020-12-17 01:14:19 [INFO] [TRAIN] epoch=14, iter=8920/40000, loss=0.3566, lr=0.007969, batch_cost=0.9952, reader_cost=0.0002 | ETA 08:35:30 2020-12-17 01:14:28 [INFO] [TRAIN] epoch=14, iter=8930/40000, loss=0.2767, lr=0.007966, batch_cost=0.8588, reader_cost=0.0001 | ETA 07:24:42 2020-12-17 01:14:39 [INFO] [TRAIN] epoch=14, iter=8940/40000, loss=0.4124, lr=0.007964, batch_cost=1.1050, reader_cost=0.0001 | ETA 09:32:01 2020-12-17 01:14:49 [INFO] [TRAIN] epoch=14, iter=8950/40000, loss=0.4872, lr=0.007962, batch_cost=1.0749, reader_cost=0.0002 | ETA 09:16:14 2020-12-17 01:14:59 [INFO] [TRAIN] epoch=14, iter=8960/40000, loss=0.4168, lr=0.007960, batch_cost=0.9126, reader_cost=0.0001 | ETA 07:52:06 2020-12-17 01:15:09 [INFO] [TRAIN] epoch=14, iter=8970/40000, loss=0.4720, lr=0.007957, batch_cost=0.9997, reader_cost=0.0001 | ETA 08:37:01 2020-12-17 01:15:19 [INFO] [TRAIN] epoch=14, iter=8980/40000, loss=0.3891, lr=0.007955, batch_cost=1.0073, reader_cost=0.0014 | ETA 08:40:47 2020-12-17 01:15:27 [INFO] [TRAIN] epoch=14, iter=8990/40000, loss=0.4199, lr=0.007953, batch_cost=0.8829, reader_cost=0.0002 | ETA 07:36:18 2020-12-17 01:15:37 [INFO] [TRAIN] epoch=14, iter=9000/40000, loss=0.6335, lr=0.007950, batch_cost=0.9242, reader_cost=0.0002 | ETA 07:57:31 2020-12-17 01:15:37 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 01:16:28 [INFO] [EVAL] #Images=1449 mIoU=0.7000 Acc=0.9302 Kappa=0.8448 2020-12-17 01:16:28 [INFO] [EVAL] Class IoU: [0.9251 0.8617 0.4225 0.8464 0.6726 0.5918 0.9444 0.8647 0.8754 0.3739 0.7572 0.3596 0.734 0.7432 0.7882 0.8052 0.4368 0.8213 0.4888 0.8697 0.5176] 2020-12-17 01:16:28 [INFO] [EVAL] Class Acc: [0.9546 0.9051 0.448 0.9371 0.7395 0.9269 0.9647 0.9413 0.9356 0.5308 0.876 0.9186 0.776 0.8766 0.8525 0.9623 0.9161 0.8796 0.7867 0.9287 0.5517] 2020-12-17 01:16:36 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 01:16:44 [INFO] [TRAIN] epoch=14, iter=9010/40000, loss=0.4572, lr=0.007948, batch_cost=0.8317, reader_cost=0.0001 | ETA 07:09:33 2020-12-17 01:16:54 [INFO] [TRAIN] epoch=14, iter=9020/40000, loss=0.5150, lr=0.007946, batch_cost=0.9163, reader_cost=0.0001 | ETA 07:53:06 2020-12-17 01:17:03 [INFO] [TRAIN] epoch=14, iter=9030/40000, loss=0.3971, lr=0.007943, batch_cost=0.9264, reader_cost=0.0001 | ETA 07:58:11 2020-12-17 01:17:13 [INFO] [TRAIN] epoch=14, iter=9040/40000, loss=0.3851, lr=0.007941, batch_cost=0.9789, reader_cost=0.0001 | ETA 08:25:06 2020-12-17 01:17:22 [INFO] [TRAIN] epoch=14, iter=9050/40000, loss=0.3955, lr=0.007939, batch_cost=0.9515, reader_cost=0.0002 | ETA 08:10:48 2020-12-17 01:17:31 [INFO] [TRAIN] epoch=14, iter=9060/40000, loss=0.4067, lr=0.007936, batch_cost=0.8378, reader_cost=0.0001 | ETA 07:12:01 2020-12-17 01:17:40 [INFO] [TRAIN] epoch=14, iter=9070/40000, loss=0.4184, lr=0.007934, batch_cost=0.9089, reader_cost=0.0002 | ETA 07:48:31 2020-12-17 01:17:49 [INFO] [TRAIN] epoch=14, iter=9080/40000, loss=0.5488, lr=0.007932, batch_cost=0.9438, reader_cost=0.0001 | ETA 08:06:22 2020-12-17 01:17:59 [INFO] [TRAIN] epoch=14, iter=9090/40000, loss=0.4362, lr=0.007930, batch_cost=1.0006, reader_cost=0.0002 | ETA 08:35:28 2020-12-17 01:18:08 [INFO] [TRAIN] epoch=14, iter=9100/40000, loss=0.5741, lr=0.007927, batch_cost=0.9406, reader_cost=0.0014 | ETA 08:04:24 2020-12-17 01:18:19 [INFO] [TRAIN] epoch=14, iter=9110/40000, loss=0.4724, lr=0.007925, batch_cost=1.0711, reader_cost=0.0002 | ETA 09:11:25 2020-12-17 01:18:29 [INFO] [TRAIN] epoch=14, iter=9120/40000, loss=0.3712, lr=0.007923, batch_cost=1.0102, reader_cost=0.0002 | ETA 08:39:54 2020-12-17 01:18:39 [INFO] [TRAIN] epoch=14, iter=9130/40000, loss=0.7305, lr=0.007920, batch_cost=0.9453, reader_cost=0.0014 | ETA 08:06:22 2020-12-17 01:18:49 [INFO] [TRAIN] epoch=14, iter=9140/40000, loss=0.3758, lr=0.007918, batch_cost=1.0562, reader_cost=0.0002 | ETA 09:03:15 2020-12-17 01:18:57 [INFO] [TRAIN] epoch=14, iter=9150/40000, loss=0.3942, lr=0.007916, batch_cost=0.7515, reader_cost=0.0013 | ETA 06:26:24 2020-12-17 01:19:05 [INFO] [TRAIN] epoch=14, iter=9160/40000, loss=0.4130, lr=0.007913, batch_cost=0.8026, reader_cost=0.0001 | ETA 06:52:31 2020-12-17 01:19:13 [INFO] [TRAIN] epoch=14, iter=9170/40000, loss=0.4816, lr=0.007911, batch_cost=0.7969, reader_cost=0.0001 | ETA 06:49:29 2020-12-17 01:19:22 [INFO] [TRAIN] epoch=14, iter=9180/40000, loss=0.5131, lr=0.007909, batch_cost=0.8958, reader_cost=0.0001 | ETA 07:40:08 2020-12-17 01:19:30 [INFO] [TRAIN] epoch=14, iter=9190/40000, loss=0.4800, lr=0.007906, batch_cost=0.8127, reader_cost=0.0005 | ETA 06:57:18 2020-12-17 01:19:37 [INFO] [TRAIN] epoch=14, iter=9200/40000, loss=0.2869, lr=0.007904, batch_cost=0.7281, reader_cost=0.0005 | ETA 06:13:45 2020-12-17 01:19:45 [INFO] [TRAIN] epoch=14, iter=9210/40000, loss=0.7232, lr=0.007902, batch_cost=0.8108, reader_cost=0.0001 | ETA 06:56:04 2020-12-17 01:19:55 [INFO] [TRAIN] epoch=14, iter=9220/40000, loss=0.4970, lr=0.007900, batch_cost=0.9249, reader_cost=0.0002 | ETA 07:54:27 2020-12-17 01:20:04 [INFO] [TRAIN] epoch=14, iter=9230/40000, loss=0.4485, lr=0.007897, batch_cost=0.9326, reader_cost=0.0014 | ETA 07:58:15 2020-12-17 01:20:13 [INFO] [TRAIN] epoch=14, iter=9240/40000, loss=0.4475, lr=0.007895, batch_cost=0.9568, reader_cost=0.0007 | ETA 08:10:32 2020-12-17 01:20:23 [INFO] [TRAIN] epoch=14, iter=9250/40000, loss=0.3928, lr=0.007893, batch_cost=0.9463, reader_cost=0.0012 | ETA 08:04:58 2020-12-17 01:20:32 [INFO] [TRAIN] epoch=15, iter=9260/40000, loss=0.4323, lr=0.007890, batch_cost=0.9435, reader_cost=0.0278 | ETA 08:03:22 2020-12-17 01:20:42 [INFO] [TRAIN] epoch=15, iter=9270/40000, loss=0.3413, lr=0.007888, batch_cost=0.9609, reader_cost=0.0014 | ETA 08:12:08 2020-12-17 01:20:52 [INFO] [TRAIN] epoch=15, iter=9280/40000, loss=0.7690, lr=0.007886, batch_cost=0.9852, reader_cost=0.0010 | ETA 08:24:24 2020-12-17 01:21:01 [INFO] [TRAIN] epoch=15, iter=9290/40000, loss=0.3135, lr=0.007883, batch_cost=0.9484, reader_cost=0.0003 | ETA 08:05:26 2020-12-17 01:21:10 [INFO] [TRAIN] epoch=15, iter=9300/40000, loss=0.2894, lr=0.007881, batch_cost=0.8977, reader_cost=0.0001 | ETA 07:39:20 2020-12-17 01:21:20 [INFO] [TRAIN] epoch=15, iter=9310/40000, loss=0.2356, lr=0.007879, batch_cost=0.9810, reader_cost=0.0014 | ETA 08:21:46 2020-12-17 01:21:30 [INFO] [TRAIN] epoch=15, iter=9320/40000, loss=0.3399, lr=0.007876, batch_cost=0.9581, reader_cost=0.0001 | ETA 08:09:54 2020-12-17 01:21:39 [INFO] [TRAIN] epoch=15, iter=9330/40000, loss=0.4084, lr=0.007874, batch_cost=0.9165, reader_cost=0.0001 | ETA 07:48:28 2020-12-17 01:21:48 [INFO] [TRAIN] epoch=15, iter=9340/40000, loss=0.4593, lr=0.007872, batch_cost=0.9528, reader_cost=0.0001 | ETA 08:06:51 2020-12-17 01:21:57 [INFO] [TRAIN] epoch=15, iter=9350/40000, loss=0.3251, lr=0.007869, batch_cost=0.8802, reader_cost=0.0001 | ETA 07:29:38 2020-12-17 01:22:07 [INFO] [TRAIN] epoch=15, iter=9360/40000, loss=0.2896, lr=0.007867, batch_cost=0.9764, reader_cost=0.0002 | ETA 08:18:38 2020-12-17 01:22:16 [INFO] [TRAIN] epoch=15, iter=9370/40000, loss=0.4007, lr=0.007865, batch_cost=0.9077, reader_cost=0.0012 | ETA 07:43:23 2020-12-17 01:22:25 [INFO] [TRAIN] epoch=15, iter=9380/40000, loss=0.5089, lr=0.007863, batch_cost=0.9079, reader_cost=0.0011 | ETA 07:43:20 2020-12-17 01:22:35 [INFO] [TRAIN] epoch=15, iter=9390/40000, loss=0.5307, lr=0.007860, batch_cost=0.9918, reader_cost=0.0002 | ETA 08:25:58 2020-12-17 01:22:44 [INFO] [TRAIN] epoch=15, iter=9400/40000, loss=0.2862, lr=0.007858, batch_cost=0.9007, reader_cost=0.0006 | ETA 07:39:20 2020-12-17 01:22:54 [INFO] [TRAIN] epoch=15, iter=9410/40000, loss=0.3928, lr=0.007856, batch_cost=0.9548, reader_cost=0.0002 | ETA 08:06:47 2020-12-17 01:23:03 [INFO] [TRAIN] epoch=15, iter=9420/40000, loss=0.4643, lr=0.007853, batch_cost=0.9670, reader_cost=0.0001 | ETA 08:12:50 2020-12-17 01:23:13 [INFO] [TRAIN] epoch=15, iter=9430/40000, loss=0.4316, lr=0.007851, batch_cost=0.9441, reader_cost=0.0019 | ETA 08:01:01 2020-12-17 01:23:23 [INFO] [TRAIN] epoch=15, iter=9440/40000, loss=0.2795, lr=0.007849, batch_cost=0.9994, reader_cost=0.0002 | ETA 08:29:01 2020-12-17 01:23:32 [INFO] [TRAIN] epoch=15, iter=9450/40000, loss=0.3404, lr=0.007846, batch_cost=0.9570, reader_cost=0.0001 | ETA 08:07:16 2020-12-17 01:23:41 [INFO] [TRAIN] epoch=15, iter=9460/40000, loss=0.3022, lr=0.007844, batch_cost=0.8467, reader_cost=0.0002 | ETA 07:10:58 2020-12-17 01:23:50 [INFO] [TRAIN] epoch=15, iter=9470/40000, loss=0.2042, lr=0.007842, batch_cost=0.9112, reader_cost=0.0001 | ETA 07:43:37 2020-12-17 01:23:59 [INFO] [TRAIN] epoch=15, iter=9480/40000, loss=0.3633, lr=0.007839, batch_cost=0.9449, reader_cost=0.0001 | ETA 08:00:37 2020-12-17 01:24:08 [INFO] [TRAIN] epoch=15, iter=9490/40000, loss=0.4690, lr=0.007837, batch_cost=0.8384, reader_cost=0.0001 | ETA 07:06:18 2020-12-17 01:24:18 [INFO] [TRAIN] epoch=15, iter=9500/40000, loss=0.3189, lr=0.007835, batch_cost=1.0458, reader_cost=0.0002 | ETA 08:51:38 2020-12-17 01:24:27 [INFO] [TRAIN] epoch=15, iter=9510/40000, loss=0.2902, lr=0.007833, batch_cost=0.9002, reader_cost=0.0006 | ETA 07:37:25 2020-12-17 01:24:36 [INFO] [TRAIN] epoch=15, iter=9520/40000, loss=0.3798, lr=0.007830, batch_cost=0.8805, reader_cost=0.0014 | ETA 07:27:16 2020-12-17 01:24:45 [INFO] [TRAIN] epoch=15, iter=9530/40000, loss=0.2892, lr=0.007828, batch_cost=0.8988, reader_cost=0.0001 | ETA 07:36:26 2020-12-17 01:24:55 [INFO] [TRAIN] epoch=15, iter=9540/40000, loss=0.7085, lr=0.007826, batch_cost=1.0163, reader_cost=0.0007 | ETA 08:35:55 2020-12-17 01:25:03 [INFO] [TRAIN] epoch=15, iter=9550/40000, loss=0.3096, lr=0.007823, batch_cost=0.7768, reader_cost=0.0001 | ETA 06:34:13 2020-12-17 01:25:10 [INFO] [TRAIN] epoch=15, iter=9560/40000, loss=0.2994, lr=0.007821, batch_cost=0.7606, reader_cost=0.0001 | ETA 06:25:53 2020-12-17 01:25:18 [INFO] [TRAIN] epoch=15, iter=9570/40000, loss=0.3309, lr=0.007819, batch_cost=0.7162, reader_cost=0.0002 | ETA 06:03:14 2020-12-17 01:25:25 [INFO] [TRAIN] epoch=15, iter=9580/40000, loss=0.2799, lr=0.007816, batch_cost=0.7760, reader_cost=0.0001 | ETA 06:33:25 2020-12-17 01:25:36 [INFO] [TRAIN] epoch=15, iter=9590/40000, loss=0.6359, lr=0.007814, batch_cost=1.0983, reader_cost=0.0002 | ETA 09:16:40 2020-12-17 01:25:46 [INFO] [TRAIN] epoch=15, iter=9600/40000, loss=0.5835, lr=0.007812, batch_cost=0.9637, reader_cost=0.0001 | ETA 08:08:17 2020-12-17 01:25:55 [INFO] [TRAIN] epoch=15, iter=9610/40000, loss=0.3121, lr=0.007809, batch_cost=0.8784, reader_cost=0.0002 | ETA 07:24:55 2020-12-17 01:26:05 [INFO] [TRAIN] epoch=15, iter=9620/40000, loss=0.4973, lr=0.007807, batch_cost=1.0539, reader_cost=0.0002 | ETA 08:53:37 2020-12-17 01:26:14 [INFO] [TRAIN] epoch=15, iter=9630/40000, loss=0.4355, lr=0.007805, batch_cost=0.9130, reader_cost=0.0001 | ETA 07:42:08 2020-12-17 01:26:24 [INFO] [TRAIN] epoch=15, iter=9640/40000, loss=0.5884, lr=0.007802, batch_cost=0.9552, reader_cost=0.0002 | ETA 08:03:19 2020-12-17 01:26:34 [INFO] [TRAIN] epoch=15, iter=9650/40000, loss=0.3601, lr=0.007800, batch_cost=0.9776, reader_cost=0.0002 | ETA 08:14:30 2020-12-17 01:26:44 [INFO] [TRAIN] epoch=15, iter=9660/40000, loss=0.3108, lr=0.007798, batch_cost=1.0256, reader_cost=0.0016 | ETA 08:38:36 2020-12-17 01:26:53 [INFO] [TRAIN] epoch=15, iter=9670/40000, loss=0.2775, lr=0.007796, batch_cost=0.8927, reader_cost=0.0002 | ETA 07:31:16 2020-12-17 01:27:03 [INFO] [TRAIN] epoch=15, iter=9680/40000, loss=0.3984, lr=0.007793, batch_cost=0.9760, reader_cost=0.0002 | ETA 08:13:11 2020-12-17 01:27:12 [INFO] [TRAIN] epoch=15, iter=9690/40000, loss=0.3473, lr=0.007791, batch_cost=0.9317, reader_cost=0.0002 | ETA 07:50:38 2020-12-17 01:27:22 [INFO] [TRAIN] epoch=15, iter=9700/40000, loss=0.3150, lr=0.007789, batch_cost=0.9697, reader_cost=0.0001 | ETA 08:09:42 2020-12-17 01:27:32 [INFO] [TRAIN] epoch=15, iter=9710/40000, loss=0.4297, lr=0.007786, batch_cost=0.9929, reader_cost=0.0001 | ETA 08:21:15 2020-12-17 01:27:42 [INFO] [TRAIN] epoch=15, iter=9720/40000, loss=0.4077, lr=0.007784, batch_cost=1.0000, reader_cost=0.0001 | ETA 08:24:38 2020-12-17 01:27:51 [INFO] [TRAIN] epoch=15, iter=9730/40000, loss=0.4338, lr=0.007782, batch_cost=0.8880, reader_cost=0.0002 | ETA 07:28:00 2020-12-17 01:28:01 [INFO] [TRAIN] epoch=15, iter=9740/40000, loss=0.5676, lr=0.007779, batch_cost=0.9989, reader_cost=0.0001 | ETA 08:23:47 2020-12-17 01:28:09 [INFO] [TRAIN] epoch=15, iter=9750/40000, loss=0.6355, lr=0.007777, batch_cost=0.8602, reader_cost=0.0001 | ETA 07:13:40 2020-12-17 01:28:18 [INFO] [TRAIN] epoch=15, iter=9760/40000, loss=0.3381, lr=0.007775, batch_cost=0.9294, reader_cost=0.0001 | ETA 07:48:25 2020-12-17 01:28:28 [INFO] [TRAIN] epoch=15, iter=9770/40000, loss=0.4234, lr=0.007772, batch_cost=0.9928, reader_cost=0.0002 | ETA 08:20:13 2020-12-17 01:28:37 [INFO] [TRAIN] epoch=15, iter=9780/40000, loss=0.4871, lr=0.007770, batch_cost=0.8535, reader_cost=0.0002 | ETA 07:09:53 2020-12-17 01:28:47 [INFO] [TRAIN] epoch=15, iter=9790/40000, loss=0.3842, lr=0.007768, batch_cost=1.0008, reader_cost=0.0002 | ETA 08:23:53 2020-12-17 01:28:57 [INFO] [TRAIN] epoch=15, iter=9800/40000, loss=0.5239, lr=0.007765, batch_cost=0.9913, reader_cost=0.0002 | ETA 08:18:58 2020-12-17 01:29:07 [INFO] [TRAIN] epoch=15, iter=9810/40000, loss=0.4680, lr=0.007763, batch_cost=1.0557, reader_cost=0.0011 | ETA 08:51:11 2020-12-17 01:29:16 [INFO] [TRAIN] epoch=15, iter=9820/40000, loss=0.3689, lr=0.007761, batch_cost=0.8422, reader_cost=0.0001 | ETA 07:03:38 2020-12-17 01:29:25 [INFO] [TRAIN] epoch=15, iter=9830/40000, loss=0.3191, lr=0.007758, batch_cost=0.9142, reader_cost=0.0001 | ETA 07:39:42 2020-12-17 01:29:34 [INFO] [TRAIN] epoch=15, iter=9840/40000, loss=0.3825, lr=0.007756, batch_cost=0.8786, reader_cost=0.0001 | ETA 07:21:38 2020-12-17 01:29:44 [INFO] [TRAIN] epoch=15, iter=9850/40000, loss=0.4146, lr=0.007754, batch_cost=1.0290, reader_cost=0.0001 | ETA 08:37:04 2020-12-17 01:29:54 [INFO] [TRAIN] epoch=15, iter=9860/40000, loss=0.3643, lr=0.007752, batch_cost=0.9553, reader_cost=0.0001 | ETA 07:59:52 2020-12-17 01:30:03 [INFO] [TRAIN] epoch=15, iter=9870/40000, loss=0.3078, lr=0.007749, batch_cost=0.9183, reader_cost=0.0002 | ETA 07:41:09 2020-12-17 01:30:11 [INFO] [TRAIN] epoch=15, iter=9880/40000, loss=0.2410, lr=0.007747, batch_cost=0.8664, reader_cost=0.0002 | ETA 07:14:56 2020-12-17 01:30:22 [INFO] [TRAIN] epoch=15, iter=9890/40000, loss=0.4578, lr=0.007745, batch_cost=1.0904, reader_cost=0.0003 | ETA 09:07:12 2020-12-17 01:30:31 [INFO] [TRAIN] epoch=15, iter=9900/40000, loss=0.2705, lr=0.007742, batch_cost=0.8801, reader_cost=0.0014 | ETA 07:21:29 2020-12-17 01:30:42 [INFO] [TRAIN] epoch=15, iter=9910/40000, loss=0.3133, lr=0.007740, batch_cost=1.1114, reader_cost=0.0002 | ETA 09:17:20 2020-12-17 01:30:50 [INFO] [TRAIN] epoch=16, iter=9920/40000, loss=0.3318, lr=0.007738, batch_cost=0.7294, reader_cost=0.0225 | ETA 06:05:39 2020-12-17 01:30:59 [INFO] [TRAIN] epoch=16, iter=9930/40000, loss=0.4345, lr=0.007735, batch_cost=0.9538, reader_cost=0.0001 | ETA 07:58:00 2020-12-17 01:31:06 [INFO] [TRAIN] epoch=16, iter=9940/40000, loss=0.2777, lr=0.007733, batch_cost=0.7302, reader_cost=0.0001 | ETA 06:05:50 2020-12-17 01:31:14 [INFO] [TRAIN] epoch=16, iter=9950/40000, loss=0.2618, lr=0.007731, batch_cost=0.7211, reader_cost=0.0001 | ETA 06:01:09 2020-12-17 01:31:23 [INFO] [TRAIN] epoch=16, iter=9960/40000, loss=0.2438, lr=0.007728, batch_cost=0.9290, reader_cost=0.0001 | ETA 07:45:06 2020-12-17 01:31:32 [INFO] [TRAIN] epoch=16, iter=9970/40000, loss=0.2416, lr=0.007726, batch_cost=0.9385, reader_cost=0.0002 | ETA 07:49:42 2020-12-17 01:31:42 [INFO] [TRAIN] epoch=16, iter=9980/40000, loss=0.3175, lr=0.007724, batch_cost=0.9313, reader_cost=0.0002 | ETA 07:45:58 2020-12-17 01:31:52 [INFO] [TRAIN] epoch=16, iter=9990/40000, loss=0.2346, lr=0.007721, batch_cost=1.0447, reader_cost=0.0002 | ETA 08:42:31 2020-12-17 01:32:01 [INFO] [TRAIN] epoch=16, iter=10000/40000, loss=0.1900, lr=0.007719, batch_cost=0.8763, reader_cost=0.0001 | ETA 07:18:07 2020-12-17 01:32:01 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 01:32:53 [INFO] [EVAL] #Images=1449 mIoU=0.7144 Acc=0.9370 Kappa=0.8560 2020-12-17 01:32:53 [INFO] [EVAL] Class IoU: [0.931 0.8961 0.3911 0.8259 0.7016 0.7175 0.907 0.8125 0.8471 0.3034 0.7764 0.392 0.7415 0.8065 0.7707 0.8522 0.472 0.8219 0.5114 0.815 0.7089] 2020-12-17 01:32:53 [INFO] [EVAL] Class Acc: [0.9475 0.9332 0.4496 0.9436 0.8323 0.8843 0.9862 0.8862 0.8754 0.7593 0.9043 0.9787 0.8871 0.9621 0.8604 0.9507 0.9436 0.978 0.8238 0.9184 0.9297] 2020-12-17 01:33:02 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 01:33:11 [INFO] [TRAIN] epoch=16, iter=10010/40000, loss=0.3047, lr=0.007717, batch_cost=0.9109, reader_cost=0.0001 | ETA 07:35:18 2020-12-17 01:33:21 [INFO] [TRAIN] epoch=16, iter=10020/40000, loss=0.1967, lr=0.007714, batch_cost=0.9850, reader_cost=0.0001 | ETA 08:12:09 2020-12-17 01:33:31 [INFO] [TRAIN] epoch=16, iter=10030/40000, loss=0.4240, lr=0.007712, batch_cost=1.0457, reader_cost=0.0001 | ETA 08:42:19 2020-12-17 01:33:40 [INFO] [TRAIN] epoch=16, iter=10040/40000, loss=0.2741, lr=0.007710, batch_cost=0.9209, reader_cost=0.0002 | ETA 07:39:49 2020-12-17 01:33:50 [INFO] [TRAIN] epoch=16, iter=10050/40000, loss=0.3328, lr=0.007708, batch_cost=0.9640, reader_cost=0.0001 | ETA 08:01:10 2020-12-17 01:34:00 [INFO] [TRAIN] epoch=16, iter=10060/40000, loss=0.5076, lr=0.007705, batch_cost=0.9724, reader_cost=0.0002 | ETA 08:05:12 2020-12-17 01:34:09 [INFO] [TRAIN] epoch=16, iter=10070/40000, loss=0.3321, lr=0.007703, batch_cost=0.9249, reader_cost=0.0001 | ETA 07:41:21 2020-12-17 01:34:18 [INFO] [TRAIN] epoch=16, iter=10080/40000, loss=0.4518, lr=0.007701, batch_cost=0.9210, reader_cost=0.0001 | ETA 07:39:15 2020-12-17 01:34:28 [INFO] [TRAIN] epoch=16, iter=10090/40000, loss=0.2875, lr=0.007698, batch_cost=0.9886, reader_cost=0.0002 | ETA 08:12:49 2020-12-17 01:34:38 [INFO] [TRAIN] epoch=16, iter=10100/40000, loss=0.4798, lr=0.007696, batch_cost=0.9452, reader_cost=0.0002 | ETA 07:51:01 2020-12-17 01:34:47 [INFO] [TRAIN] epoch=16, iter=10110/40000, loss=0.5236, lr=0.007694, batch_cost=0.9461, reader_cost=0.0001 | ETA 07:51:19 2020-12-17 01:34:57 [INFO] [TRAIN] epoch=16, iter=10120/40000, loss=0.3896, lr=0.007691, batch_cost=0.9590, reader_cost=0.0014 | ETA 07:57:34 2020-12-17 01:35:05 [INFO] [TRAIN] epoch=16, iter=10130/40000, loss=0.4936, lr=0.007689, batch_cost=0.8354, reader_cost=0.0002 | ETA 06:55:54 2020-12-17 01:35:15 [INFO] [TRAIN] epoch=16, iter=10140/40000, loss=0.4971, lr=0.007687, batch_cost=0.9934, reader_cost=0.0019 | ETA 08:14:22 2020-12-17 01:35:23 [INFO] [TRAIN] epoch=16, iter=10150/40000, loss=0.5421, lr=0.007684, batch_cost=0.8404, reader_cost=0.0001 | ETA 06:58:05 2020-12-17 01:35:31 [INFO] [TRAIN] epoch=16, iter=10160/40000, loss=0.3383, lr=0.007682, batch_cost=0.7804, reader_cost=0.0001 | ETA 06:28:07 2020-12-17 01:35:38 [INFO] [TRAIN] epoch=16, iter=10170/40000, loss=0.4579, lr=0.007680, batch_cost=0.7293, reader_cost=0.0001 | ETA 06:02:35 2020-12-17 01:35:46 [INFO] [TRAIN] epoch=16, iter=10180/40000, loss=0.4158, lr=0.007677, batch_cost=0.7217, reader_cost=0.0001 | ETA 05:58:40 2020-12-17 01:35:53 [INFO] [TRAIN] epoch=16, iter=10190/40000, loss=0.6382, lr=0.007675, batch_cost=0.7534, reader_cost=0.0001 | ETA 06:14:20 2020-12-17 01:36:01 [INFO] [TRAIN] epoch=16, iter=10200/40000, loss=0.2871, lr=0.007673, batch_cost=0.8222, reader_cost=0.0001 | ETA 06:48:21 2020-12-17 01:36:11 [INFO] [TRAIN] epoch=16, iter=10210/40000, loss=0.3625, lr=0.007670, batch_cost=0.9611, reader_cost=0.0001 | ETA 07:57:09 2020-12-17 01:36:20 [INFO] [TRAIN] epoch=16, iter=10220/40000, loss=0.3415, lr=0.007668, batch_cost=0.9174, reader_cost=0.0002 | ETA 07:35:20 2020-12-17 01:36:29 [INFO] [TRAIN] epoch=16, iter=10230/40000, loss=0.2530, lr=0.007666, batch_cost=0.8843, reader_cost=0.0002 | ETA 07:18:45 2020-12-17 01:36:38 [INFO] [TRAIN] epoch=16, iter=10240/40000, loss=0.3109, lr=0.007664, batch_cost=0.8513, reader_cost=0.0001 | ETA 07:02:15 2020-12-17 01:36:46 [INFO] [TRAIN] epoch=16, iter=10250/40000, loss=0.5835, lr=0.007661, batch_cost=0.8234, reader_cost=0.0001 | ETA 06:48:15 2020-12-17 01:36:55 [INFO] [TRAIN] epoch=16, iter=10260/40000, loss=0.5853, lr=0.007659, batch_cost=0.9556, reader_cost=0.0001 | ETA 07:53:39 2020-12-17 01:37:05 [INFO] [TRAIN] epoch=16, iter=10270/40000, loss=0.4914, lr=0.007657, batch_cost=0.9932, reader_cost=0.0002 | ETA 08:12:08 2020-12-17 01:37:15 [INFO] [TRAIN] epoch=16, iter=10280/40000, loss=0.3785, lr=0.007654, batch_cost=0.9856, reader_cost=0.0002 | ETA 08:08:11 2020-12-17 01:37:24 [INFO] [TRAIN] epoch=16, iter=10290/40000, loss=0.4070, lr=0.007652, batch_cost=0.8731, reader_cost=0.0001 | ETA 07:12:18 2020-12-17 01:37:32 [INFO] [TRAIN] epoch=16, iter=10300/40000, loss=0.4680, lr=0.007650, batch_cost=0.7953, reader_cost=0.0001 | ETA 06:33:41 2020-12-17 01:37:40 [INFO] [TRAIN] epoch=16, iter=10310/40000, loss=0.2223, lr=0.007647, batch_cost=0.7725, reader_cost=0.0001 | ETA 06:22:15 2020-12-17 01:37:47 [INFO] [TRAIN] epoch=16, iter=10320/40000, loss=0.3641, lr=0.007645, batch_cost=0.7789, reader_cost=0.0001 | ETA 06:25:17 2020-12-17 01:37:56 [INFO] [TRAIN] epoch=16, iter=10330/40000, loss=0.3320, lr=0.007643, batch_cost=0.8981, reader_cost=0.0001 | ETA 07:24:07 2020-12-17 01:38:05 [INFO] [TRAIN] epoch=16, iter=10340/40000, loss=0.4871, lr=0.007640, batch_cost=0.8562, reader_cost=0.0001 | ETA 07:03:16 2020-12-17 01:38:14 [INFO] [TRAIN] epoch=16, iter=10350/40000, loss=0.4415, lr=0.007638, batch_cost=0.9151, reader_cost=0.0001 | ETA 07:32:12 2020-12-17 01:38:23 [INFO] [TRAIN] epoch=16, iter=10360/40000, loss=0.3209, lr=0.007636, batch_cost=0.8976, reader_cost=0.0002 | ETA 07:23:24 2020-12-17 01:38:33 [INFO] [TRAIN] epoch=16, iter=10370/40000, loss=0.5550, lr=0.007633, batch_cost=0.9666, reader_cost=0.0002 | ETA 07:57:20 2020-12-17 01:38:42 [INFO] [TRAIN] epoch=16, iter=10380/40000, loss=0.3120, lr=0.007631, batch_cost=0.9745, reader_cost=0.0014 | ETA 08:01:03 2020-12-17 01:38:52 [INFO] [TRAIN] epoch=16, iter=10390/40000, loss=0.3479, lr=0.007629, batch_cost=0.9192, reader_cost=0.0002 | ETA 07:33:36 2020-12-17 01:39:03 [INFO] [TRAIN] epoch=16, iter=10400/40000, loss=0.4154, lr=0.007626, batch_cost=1.1293, reader_cost=0.0002 | ETA 09:17:07 2020-12-17 01:39:12 [INFO] [TRAIN] epoch=16, iter=10410/40000, loss=0.3419, lr=0.007624, batch_cost=0.9029, reader_cost=0.0002 | ETA 07:25:17 2020-12-17 01:39:21 [INFO] [TRAIN] epoch=16, iter=10420/40000, loss=0.5330, lr=0.007622, batch_cost=0.8847, reader_cost=0.0002 | ETA 07:16:09 2020-12-17 01:39:30 [INFO] [TRAIN] epoch=16, iter=10430/40000, loss=0.4115, lr=0.007619, batch_cost=0.9340, reader_cost=0.0002 | ETA 07:40:17 2020-12-17 01:39:40 [INFO] [TRAIN] epoch=16, iter=10440/40000, loss=0.3987, lr=0.007617, batch_cost=1.0094, reader_cost=0.0002 | ETA 08:17:19 2020-12-17 01:39:49 [INFO] [TRAIN] epoch=16, iter=10450/40000, loss=0.9022, lr=0.007615, batch_cost=0.8400, reader_cost=0.0002 | ETA 06:53:41 2020-12-17 01:39:58 [INFO] [TRAIN] epoch=16, iter=10460/40000, loss=0.3328, lr=0.007613, batch_cost=0.9169, reader_cost=0.0001 | ETA 07:31:26 2020-12-17 01:40:07 [INFO] [TRAIN] epoch=16, iter=10470/40000, loss=0.3097, lr=0.007610, batch_cost=0.9064, reader_cost=0.0001 | ETA 07:26:06 2020-12-17 01:40:17 [INFO] [TRAIN] epoch=16, iter=10480/40000, loss=0.3429, lr=0.007608, batch_cost=0.9980, reader_cost=0.0001 | ETA 08:11:02 2020-12-17 01:40:26 [INFO] [TRAIN] epoch=16, iter=10490/40000, loss=0.4278, lr=0.007606, batch_cost=0.9199, reader_cost=0.0001 | ETA 07:32:24 2020-12-17 01:40:35 [INFO] [TRAIN] epoch=16, iter=10500/40000, loss=0.2938, lr=0.007603, batch_cost=0.8934, reader_cost=0.0001 | ETA 07:19:15 2020-12-17 01:40:44 [INFO] [TRAIN] epoch=16, iter=10510/40000, loss=0.3094, lr=0.007601, batch_cost=0.8984, reader_cost=0.0001 | ETA 07:21:32 2020-12-17 01:40:52 [INFO] [TRAIN] epoch=16, iter=10520/40000, loss=0.4057, lr=0.007599, batch_cost=0.8489, reader_cost=0.0001 | ETA 06:57:06 2020-12-17 01:41:01 [INFO] [TRAIN] epoch=16, iter=10530/40000, loss=0.4209, lr=0.007596, batch_cost=0.8727, reader_cost=0.0001 | ETA 07:08:37 2020-12-17 01:41:09 [INFO] [TRAIN] epoch=16, iter=10540/40000, loss=0.2851, lr=0.007594, batch_cost=0.8220, reader_cost=0.0002 | ETA 06:43:34 2020-12-17 01:41:18 [INFO] [TRAIN] epoch=16, iter=10550/40000, loss=0.4018, lr=0.007592, batch_cost=0.9095, reader_cost=0.0002 | ETA 07:26:24 2020-12-17 01:41:27 [INFO] [TRAIN] epoch=16, iter=10560/40000, loss=0.4466, lr=0.007589, batch_cost=0.8450, reader_cost=0.0002 | ETA 06:54:37 2020-12-17 01:41:35 [INFO] [TRAIN] epoch=16, iter=10570/40000, loss=0.2875, lr=0.007587, batch_cost=0.7978, reader_cost=0.0001 | ETA 06:31:19 2020-12-17 01:41:43 [INFO] [TRAIN] epoch=17, iter=10580/40000, loss=0.4503, lr=0.007585, batch_cost=0.8051, reader_cost=0.0309 | ETA 06:34:46 2020-12-17 01:41:52 [INFO] [TRAIN] epoch=17, iter=10590/40000, loss=0.2737, lr=0.007582, batch_cost=0.8852, reader_cost=0.0002 | ETA 07:13:53 2020-12-17 01:42:01 [INFO] [TRAIN] epoch=17, iter=10600/40000, loss=0.3682, lr=0.007580, batch_cost=0.8681, reader_cost=0.0001 | ETA 07:05:21 2020-12-17 01:42:09 [INFO] [TRAIN] epoch=17, iter=10610/40000, loss=0.2503, lr=0.007578, batch_cost=0.8923, reader_cost=0.0002 | ETA 07:17:03 2020-12-17 01:42:19 [INFO] [TRAIN] epoch=17, iter=10620/40000, loss=0.3419, lr=0.007575, batch_cost=0.9682, reader_cost=0.0002 | ETA 07:54:05 2020-12-17 01:42:30 [INFO] [TRAIN] epoch=17, iter=10630/40000, loss=0.3269, lr=0.007573, batch_cost=1.0915, reader_cost=0.0001 | ETA 08:54:15 2020-12-17 01:42:39 [INFO] [TRAIN] epoch=17, iter=10640/40000, loss=0.5582, lr=0.007571, batch_cost=0.8829, reader_cost=0.0001 | ETA 07:12:03 2020-12-17 01:42:48 [INFO] [TRAIN] epoch=17, iter=10650/40000, loss=0.3574, lr=0.007568, batch_cost=0.8790, reader_cost=0.0001 | ETA 07:09:59 2020-12-17 01:42:57 [INFO] [TRAIN] epoch=17, iter=10660/40000, loss=0.3036, lr=0.007566, batch_cost=0.9134, reader_cost=0.0001 | ETA 07:26:38 2020-12-17 01:43:06 [INFO] [TRAIN] epoch=17, iter=10670/40000, loss=0.2462, lr=0.007564, batch_cost=0.9367, reader_cost=0.0002 | ETA 07:37:54 2020-12-17 01:43:15 [INFO] [TRAIN] epoch=17, iter=10680/40000, loss=0.5958, lr=0.007561, batch_cost=0.8393, reader_cost=0.0007 | ETA 06:50:07 2020-12-17 01:43:22 [INFO] [TRAIN] epoch=17, iter=10690/40000, loss=0.2751, lr=0.007559, batch_cost=0.7686, reader_cost=0.0001 | ETA 06:15:26 2020-12-17 01:43:30 [INFO] [TRAIN] epoch=17, iter=10700/40000, loss=0.2825, lr=0.007557, batch_cost=0.7908, reader_cost=0.0001 | ETA 06:26:09 2020-12-17 01:43:38 [INFO] [TRAIN] epoch=17, iter=10710/40000, loss=0.4133, lr=0.007555, batch_cost=0.7432, reader_cost=0.0001 | ETA 06:02:48 2020-12-17 01:43:45 [INFO] [TRAIN] epoch=17, iter=10720/40000, loss=0.4619, lr=0.007552, batch_cost=0.7167, reader_cost=0.0001 | ETA 05:49:43 2020-12-17 01:43:54 [INFO] [TRAIN] epoch=17, iter=10730/40000, loss=0.3163, lr=0.007550, batch_cost=0.8930, reader_cost=0.0001 | ETA 07:15:39 2020-12-17 01:44:02 [INFO] [TRAIN] epoch=17, iter=10740/40000, loss=0.3637, lr=0.007548, batch_cost=0.8498, reader_cost=0.0002 | ETA 06:54:24 2020-12-17 01:44:13 [INFO] [TRAIN] epoch=17, iter=10750/40000, loss=0.3607, lr=0.007545, batch_cost=1.0543, reader_cost=0.0029 | ETA 08:33:58 2020-12-17 01:44:22 [INFO] [TRAIN] epoch=17, iter=10760/40000, loss=0.3501, lr=0.007543, batch_cost=0.9679, reader_cost=0.0001 | ETA 07:51:40 2020-12-17 01:44:33 [INFO] [TRAIN] epoch=17, iter=10770/40000, loss=0.2973, lr=0.007541, batch_cost=1.0476, reader_cost=0.0002 | ETA 08:30:21 2020-12-17 01:44:42 [INFO] [TRAIN] epoch=17, iter=10780/40000, loss=0.4883, lr=0.007538, batch_cost=0.9060, reader_cost=0.0002 | ETA 07:21:14 2020-12-17 01:44:51 [INFO] [TRAIN] epoch=17, iter=10790/40000, loss=0.5061, lr=0.007536, batch_cost=0.8996, reader_cost=0.0002 | ETA 07:17:58 2020-12-17 01:45:01 [INFO] [TRAIN] epoch=17, iter=10800/40000, loss=0.4307, lr=0.007534, batch_cost=0.9631, reader_cost=0.0001 | ETA 07:48:42 2020-12-17 01:45:09 [INFO] [TRAIN] epoch=17, iter=10810/40000, loss=0.4296, lr=0.007531, batch_cost=0.8368, reader_cost=0.0001 | ETA 06:47:06 2020-12-17 01:45:18 [INFO] [TRAIN] epoch=17, iter=10820/40000, loss=0.3493, lr=0.007529, batch_cost=0.9458, reader_cost=0.0014 | ETA 07:39:57 2020-12-17 01:45:28 [INFO] [TRAIN] epoch=17, iter=10830/40000, loss=0.4965, lr=0.007527, batch_cost=0.9218, reader_cost=0.0002 | ETA 07:28:07 2020-12-17 01:45:37 [INFO] [TRAIN] epoch=17, iter=10840/40000, loss=0.3578, lr=0.007524, batch_cost=0.8980, reader_cost=0.0002 | ETA 07:16:25 2020-12-17 01:45:46 [INFO] [TRAIN] epoch=17, iter=10850/40000, loss=0.2759, lr=0.007522, batch_cost=0.9219, reader_cost=0.0002 | ETA 07:27:54 2020-12-17 01:45:55 [INFO] [TRAIN] epoch=17, iter=10860/40000, loss=0.3573, lr=0.007520, batch_cost=0.9142, reader_cost=0.0001 | ETA 07:23:58 2020-12-17 01:46:04 [INFO] [TRAIN] epoch=17, iter=10870/40000, loss=0.5804, lr=0.007517, batch_cost=0.8894, reader_cost=0.0011 | ETA 07:11:48 2020-12-17 01:46:13 [INFO] [TRAIN] epoch=17, iter=10880/40000, loss=0.3304, lr=0.007515, batch_cost=0.9562, reader_cost=0.0002 | ETA 07:44:05 2020-12-17 01:46:23 [INFO] [TRAIN] epoch=17, iter=10890/40000, loss=0.3244, lr=0.007513, batch_cost=0.9841, reader_cost=0.0011 | ETA 07:57:26 2020-12-17 01:46:33 [INFO] [TRAIN] epoch=17, iter=10900/40000, loss=0.3117, lr=0.007510, batch_cost=0.9322, reader_cost=0.0001 | ETA 07:32:06 2020-12-17 01:46:42 [INFO] [TRAIN] epoch=17, iter=10910/40000, loss=0.2885, lr=0.007508, batch_cost=0.9302, reader_cost=0.0013 | ETA 07:31:00 2020-12-17 01:46:51 [INFO] [TRAIN] epoch=17, iter=10920/40000, loss=0.3768, lr=0.007506, batch_cost=0.8898, reader_cost=0.0001 | ETA 07:11:14 2020-12-17 01:47:01 [INFO] [TRAIN] epoch=17, iter=10930/40000, loss=0.3992, lr=0.007503, batch_cost=1.0417, reader_cost=0.0014 | ETA 08:24:42 2020-12-17 01:47:12 [INFO] [TRAIN] epoch=17, iter=10940/40000, loss=0.3594, lr=0.007501, batch_cost=1.0977, reader_cost=0.0002 | ETA 08:51:40 2020-12-17 01:47:22 [INFO] [TRAIN] epoch=17, iter=10950/40000, loss=0.2264, lr=0.007499, batch_cost=0.9731, reader_cost=0.0002 | ETA 07:51:08 2020-12-17 01:47:31 [INFO] [TRAIN] epoch=17, iter=10960/40000, loss=0.4795, lr=0.007496, batch_cost=0.8834, reader_cost=0.0002 | ETA 07:07:33 2020-12-17 01:47:40 [INFO] [TRAIN] epoch=17, iter=10970/40000, loss=0.6595, lr=0.007494, batch_cost=0.9125, reader_cost=0.0002 | ETA 07:21:29 2020-12-17 01:47:49 [INFO] [TRAIN] epoch=17, iter=10980/40000, loss=0.2627, lr=0.007492, batch_cost=0.9068, reader_cost=0.0002 | ETA 07:18:34 2020-12-17 01:47:59 [INFO] [TRAIN] epoch=17, iter=10990/40000, loss=0.2449, lr=0.007489, batch_cost=0.9765, reader_cost=0.0013 | ETA 07:52:07 2020-12-17 01:48:07 [INFO] [TRAIN] epoch=17, iter=11000/40000, loss=0.3131, lr=0.007487, batch_cost=0.8397, reader_cost=0.0002 | ETA 06:45:52 2020-12-17 01:48:07 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 01:48:59 [INFO] [EVAL] #Images=1449 mIoU=0.7111 Acc=0.9311 Kappa=0.8496 2020-12-17 01:48:59 [INFO] [EVAL] Class IoU: [0.9266 0.868 0.3817 0.8856 0.3825 0.6864 0.8792 0.8034 0.8366 0.3894 0.8622 0.5724 0.8215 0.8234 0.7274 0.8443 0.56 0.7919 0.501 0.8026 0.5867] 2020-12-17 01:48:59 [INFO] [EVAL] Class Acc: [0.9629 0.9302 0.3892 0.9696 0.3912 0.897 0.985 0.9046 0.9235 0.6416 0.9291 0.8833 0.869 0.8832 0.9608 0.9256 0.7998 0.8623 0.5721 0.947 0.9883] 2020-12-17 01:49:07 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 01:49:14 [INFO] [TRAIN] epoch=17, iter=11010/40000, loss=0.4658, lr=0.007485, batch_cost=0.7069, reader_cost=0.0001 | ETA 05:41:34 2020-12-17 01:49:22 [INFO] [TRAIN] epoch=17, iter=11020/40000, loss=0.3366, lr=0.007483, batch_cost=0.7884, reader_cost=0.0001 | ETA 06:20:47 2020-12-17 01:49:29 [INFO] [TRAIN] epoch=17, iter=11030/40000, loss=0.3850, lr=0.007480, batch_cost=0.7167, reader_cost=0.0001 | ETA 05:46:01 2020-12-17 01:49:36 [INFO] [TRAIN] epoch=17, iter=11040/40000, loss=0.2776, lr=0.007478, batch_cost=0.7116, reader_cost=0.0001 | ETA 05:43:29 2020-12-17 01:49:45 [INFO] [TRAIN] epoch=17, iter=11050/40000, loss=0.2762, lr=0.007476, batch_cost=0.8917, reader_cost=0.0011 | ETA 07:10:15 2020-12-17 01:49:55 [INFO] [TRAIN] epoch=17, iter=11060/40000, loss=0.3141, lr=0.007473, batch_cost=0.9860, reader_cost=0.0001 | ETA 07:55:34 2020-12-17 01:50:04 [INFO] [TRAIN] epoch=17, iter=11070/40000, loss=0.2279, lr=0.007471, batch_cost=0.8547, reader_cost=0.0001 | ETA 06:52:07 2020-12-17 01:50:13 [INFO] [TRAIN] epoch=17, iter=11080/40000, loss=0.3830, lr=0.007469, batch_cost=0.9379, reader_cost=0.0002 | ETA 07:32:05 2020-12-17 01:50:24 [INFO] [TRAIN] epoch=17, iter=11090/40000, loss=0.3440, lr=0.007466, batch_cost=1.1007, reader_cost=0.0016 | ETA 08:50:22 2020-12-17 01:50:33 [INFO] [TRAIN] epoch=17, iter=11100/40000, loss=0.3152, lr=0.007464, batch_cost=0.9052, reader_cost=0.0001 | ETA 07:16:00 2020-12-17 01:50:43 [INFO] [TRAIN] epoch=17, iter=11110/40000, loss=0.3705, lr=0.007462, batch_cost=1.0049, reader_cost=0.0002 | ETA 08:03:51 2020-12-17 01:50:52 [INFO] [TRAIN] epoch=17, iter=11120/40000, loss=0.4855, lr=0.007459, batch_cost=0.8884, reader_cost=0.0002 | ETA 07:07:36 2020-12-17 01:51:01 [INFO] [TRAIN] epoch=17, iter=11130/40000, loss=0.3381, lr=0.007457, batch_cost=0.8928, reader_cost=0.0002 | ETA 07:09:33 2020-12-17 01:51:10 [INFO] [TRAIN] epoch=17, iter=11140/40000, loss=0.3204, lr=0.007455, batch_cost=0.9132, reader_cost=0.0001 | ETA 07:19:14 2020-12-17 01:51:19 [INFO] [TRAIN] epoch=17, iter=11150/40000, loss=0.3141, lr=0.007452, batch_cost=0.9125, reader_cost=0.0001 | ETA 07:18:45 2020-12-17 01:51:27 [INFO] [TRAIN] epoch=17, iter=11160/40000, loss=0.3646, lr=0.007450, batch_cost=0.8374, reader_cost=0.0001 | ETA 06:42:31 2020-12-17 01:51:37 [INFO] [TRAIN] epoch=17, iter=11170/40000, loss=0.2003, lr=0.007448, batch_cost=0.9681, reader_cost=0.0002 | ETA 07:45:11 2020-12-17 01:51:47 [INFO] [TRAIN] epoch=17, iter=11180/40000, loss=0.4507, lr=0.007445, batch_cost=0.9744, reader_cost=0.0002 | ETA 07:48:03 2020-12-17 01:51:56 [INFO] [TRAIN] epoch=17, iter=11190/40000, loss=0.5199, lr=0.007443, batch_cost=0.8750, reader_cost=0.0001 | ETA 07:00:10 2020-12-17 01:52:06 [INFO] [TRAIN] epoch=17, iter=11200/40000, loss=0.4025, lr=0.007441, batch_cost=1.0148, reader_cost=0.0002 | ETA 08:07:07 2020-12-17 01:52:15 [INFO] [TRAIN] epoch=17, iter=11210/40000, loss=0.4896, lr=0.007438, batch_cost=0.9361, reader_cost=0.0002 | ETA 07:29:10 2020-12-17 01:52:25 [INFO] [TRAIN] epoch=17, iter=11220/40000, loss=0.3655, lr=0.007436, batch_cost=0.9486, reader_cost=0.0001 | ETA 07:34:59 2020-12-17 01:52:34 [INFO] [TRAIN] epoch=17, iter=11230/40000, loss=0.3095, lr=0.007434, batch_cost=0.9677, reader_cost=0.0001 | ETA 07:44:00 2020-12-17 01:52:43 [INFO] [TRAIN] epoch=18, iter=11240/40000, loss=0.3452, lr=0.007431, batch_cost=0.8766, reader_cost=0.0355 | ETA 07:00:09 2020-12-17 01:52:53 [INFO] [TRAIN] epoch=18, iter=11250/40000, loss=0.3425, lr=0.007429, batch_cost=0.9718, reader_cost=0.0002 | ETA 07:45:40 2020-12-17 01:53:03 [INFO] [TRAIN] epoch=18, iter=11260/40000, loss=0.3597, lr=0.007427, batch_cost=1.0247, reader_cost=0.0009 | ETA 08:10:48 2020-12-17 01:53:12 [INFO] [TRAIN] epoch=18, iter=11270/40000, loss=0.3557, lr=0.007424, batch_cost=0.8973, reader_cost=0.0014 | ETA 07:09:38 2020-12-17 01:53:20 [INFO] [TRAIN] epoch=18, iter=11280/40000, loss=0.3451, lr=0.007422, batch_cost=0.8328, reader_cost=0.0001 | ETA 06:38:37 2020-12-17 01:53:30 [INFO] [TRAIN] epoch=18, iter=11290/40000, loss=0.2525, lr=0.007420, batch_cost=0.9969, reader_cost=0.0002 | ETA 07:57:02 2020-12-17 01:53:40 [INFO] [TRAIN] epoch=18, iter=11300/40000, loss=0.3093, lr=0.007417, batch_cost=0.9501, reader_cost=0.0002 | ETA 07:34:28 2020-12-17 01:53:48 [INFO] [TRAIN] epoch=18, iter=11310/40000, loss=0.3406, lr=0.007415, batch_cost=0.8334, reader_cost=0.0001 | ETA 06:38:31 2020-12-17 01:53:57 [INFO] [TRAIN] epoch=18, iter=11320/40000, loss=0.6036, lr=0.007413, batch_cost=0.8889, reader_cost=0.0001 | ETA 07:04:52 2020-12-17 01:54:06 [INFO] [TRAIN] epoch=18, iter=11330/40000, loss=0.2354, lr=0.007410, batch_cost=0.9113, reader_cost=0.0001 | ETA 07:15:28 2020-12-17 01:54:16 [INFO] [TRAIN] epoch=18, iter=11340/40000, loss=0.3412, lr=0.007408, batch_cost=0.9353, reader_cost=0.0001 | ETA 07:26:46 2020-12-17 01:54:25 [INFO] [TRAIN] epoch=18, iter=11350/40000, loss=0.2912, lr=0.007406, batch_cost=0.9232, reader_cost=0.0002 | ETA 07:20:49 2020-12-17 01:54:34 [INFO] [TRAIN] epoch=18, iter=11360/40000, loss=0.4524, lr=0.007403, batch_cost=0.9622, reader_cost=0.0001 | ETA 07:39:18 2020-12-17 01:54:44 [INFO] [TRAIN] epoch=18, iter=11370/40000, loss=0.6390, lr=0.007401, batch_cost=0.9429, reader_cost=0.0001 | ETA 07:29:53 2020-12-17 01:54:53 [INFO] [TRAIN] epoch=18, iter=11380/40000, loss=0.3735, lr=0.007399, batch_cost=0.9564, reader_cost=0.0002 | ETA 07:36:13 2020-12-17 01:55:02 [INFO] [TRAIN] epoch=18, iter=11390/40000, loss=0.2903, lr=0.007396, batch_cost=0.9096, reader_cost=0.0008 | ETA 07:13:45 2020-12-17 01:55:10 [INFO] [TRAIN] epoch=18, iter=11400/40000, loss=0.3260, lr=0.007394, batch_cost=0.7435, reader_cost=0.0001 | ETA 05:54:23 2020-12-17 01:55:18 [INFO] [TRAIN] epoch=18, iter=11410/40000, loss=0.3160, lr=0.007392, batch_cost=0.7930, reader_cost=0.0001 | ETA 06:17:51 2020-12-17 01:55:25 [INFO] [TRAIN] epoch=18, iter=11420/40000, loss=0.3119, lr=0.007390, batch_cost=0.7578, reader_cost=0.0001 | ETA 06:00:58 2020-12-17 01:55:33 [INFO] [TRAIN] epoch=18, iter=11430/40000, loss=0.4552, lr=0.007387, batch_cost=0.7634, reader_cost=0.0001 | ETA 06:03:31 2020-12-17 01:55:41 [INFO] [TRAIN] epoch=18, iter=11440/40000, loss=0.3256, lr=0.007385, batch_cost=0.8340, reader_cost=0.0001 | ETA 06:36:59 2020-12-17 01:55:50 [INFO] [TRAIN] epoch=18, iter=11450/40000, loss=0.3464, lr=0.007383, batch_cost=0.8419, reader_cost=0.0001 | ETA 06:40:36 2020-12-17 01:55:59 [INFO] [TRAIN] epoch=18, iter=11460/40000, loss=0.3954, lr=0.007380, batch_cost=0.9168, reader_cost=0.0009 | ETA 07:16:04 2020-12-17 01:56:09 [INFO] [TRAIN] epoch=18, iter=11470/40000, loss=0.3901, lr=0.007378, batch_cost=0.9855, reader_cost=0.0001 | ETA 07:48:35 2020-12-17 01:56:18 [INFO] [TRAIN] epoch=18, iter=11480/40000, loss=0.3659, lr=0.007376, batch_cost=0.9298, reader_cost=0.0002 | ETA 07:21:58 2020-12-17 01:56:28 [INFO] [TRAIN] epoch=18, iter=11490/40000, loss=0.3065, lr=0.007373, batch_cost=0.9873, reader_cost=0.0002 | ETA 07:49:07 2020-12-17 01:56:38 [INFO] [TRAIN] epoch=18, iter=11500/40000, loss=0.3834, lr=0.007371, batch_cost=0.9971, reader_cost=0.0002 | ETA 07:53:36 2020-12-17 01:56:48 [INFO] [TRAIN] epoch=18, iter=11510/40000, loss=0.3461, lr=0.007369, batch_cost=1.0056, reader_cost=0.0002 | ETA 07:57:29 2020-12-17 01:56:57 [INFO] [TRAIN] epoch=18, iter=11520/40000, loss=0.3365, lr=0.007366, batch_cost=0.9223, reader_cost=0.0002 | ETA 07:17:48 2020-12-17 01:57:06 [INFO] [TRAIN] epoch=18, iter=11530/40000, loss=0.3860, lr=0.007364, batch_cost=0.8990, reader_cost=0.0001 | ETA 07:06:34 2020-12-17 01:57:16 [INFO] [TRAIN] epoch=18, iter=11540/40000, loss=0.3578, lr=0.007362, batch_cost=0.9330, reader_cost=0.0002 | ETA 07:22:34 2020-12-17 01:57:25 [INFO] [TRAIN] epoch=18, iter=11550/40000, loss=0.2705, lr=0.007359, batch_cost=0.9049, reader_cost=0.0002 | ETA 07:09:03 2020-12-17 01:57:35 [INFO] [TRAIN] epoch=18, iter=11560/40000, loss=0.5556, lr=0.007357, batch_cost=1.0873, reader_cost=0.0008 | ETA 08:35:21 2020-12-17 01:57:46 [INFO] [TRAIN] epoch=18, iter=11570/40000, loss=0.3705, lr=0.007355, batch_cost=1.0921, reader_cost=0.0001 | ETA 08:37:27 2020-12-17 01:57:56 [INFO] [TRAIN] epoch=18, iter=11580/40000, loss=0.3362, lr=0.007352, batch_cost=0.9187, reader_cost=0.0004 | ETA 07:15:09 2020-12-17 01:58:05 [INFO] [TRAIN] epoch=18, iter=11590/40000, loss=0.3687, lr=0.007350, batch_cost=0.9824, reader_cost=0.0002 | ETA 07:45:08 2020-12-17 01:58:14 [INFO] [TRAIN] epoch=18, iter=11600/40000, loss=0.3964, lr=0.007348, batch_cost=0.9011, reader_cost=0.0002 | ETA 07:06:32 2020-12-17 01:58:25 [INFO] [TRAIN] epoch=18, iter=11610/40000, loss=0.3377, lr=0.007345, batch_cost=1.0824, reader_cost=0.0002 | ETA 08:32:10 2020-12-17 01:58:35 [INFO] [TRAIN] epoch=18, iter=11620/40000, loss=0.4881, lr=0.007343, batch_cost=0.9933, reader_cost=0.0002 | ETA 07:49:50 2020-12-17 01:58:45 [INFO] [TRAIN] epoch=18, iter=11630/40000, loss=0.3319, lr=0.007341, batch_cost=0.9936, reader_cost=0.0002 | ETA 07:49:47 2020-12-17 01:58:56 [INFO] [TRAIN] epoch=18, iter=11640/40000, loss=0.3835, lr=0.007338, batch_cost=1.0743, reader_cost=0.0001 | ETA 08:27:47 2020-12-17 01:59:05 [INFO] [TRAIN] epoch=18, iter=11650/40000, loss=0.3011, lr=0.007336, batch_cost=0.9548, reader_cost=0.0002 | ETA 07:31:07 2020-12-17 01:59:14 [INFO] [TRAIN] epoch=18, iter=11660/40000, loss=0.4415, lr=0.007334, batch_cost=0.8327, reader_cost=0.0002 | ETA 06:33:19 2020-12-17 01:59:23 [INFO] [TRAIN] epoch=18, iter=11670/40000, loss=0.3100, lr=0.007331, batch_cost=0.9392, reader_cost=0.0001 | ETA 07:23:27 2020-12-17 01:59:32 [INFO] [TRAIN] epoch=18, iter=11680/40000, loss=0.3719, lr=0.007329, batch_cost=0.8891, reader_cost=0.0001 | ETA 06:59:39 2020-12-17 01:59:42 [INFO] [TRAIN] epoch=18, iter=11690/40000, loss=0.3015, lr=0.007327, batch_cost=0.9476, reader_cost=0.0002 | ETA 07:27:07 2020-12-17 01:59:53 [INFO] [TRAIN] epoch=18, iter=11700/40000, loss=0.3720, lr=0.007324, batch_cost=1.1151, reader_cost=0.0002 | ETA 08:45:56 2020-12-17 02:00:02 [INFO] [TRAIN] epoch=18, iter=11710/40000, loss=0.3818, lr=0.007322, batch_cost=0.9705, reader_cost=0.0002 | ETA 07:37:35 2020-12-17 02:00:12 [INFO] [TRAIN] epoch=18, iter=11720/40000, loss=0.2789, lr=0.007320, batch_cost=0.9481, reader_cost=0.0013 | ETA 07:26:50 2020-12-17 02:00:21 [INFO] [TRAIN] epoch=18, iter=11730/40000, loss=0.3130, lr=0.007317, batch_cost=0.9393, reader_cost=0.0014 | ETA 07:22:34 2020-12-17 02:00:31 [INFO] [TRAIN] epoch=18, iter=11740/40000, loss=0.4633, lr=0.007315, batch_cost=0.9625, reader_cost=0.0001 | ETA 07:33:20 2020-12-17 02:00:40 [INFO] [TRAIN] epoch=18, iter=11750/40000, loss=0.3587, lr=0.007313, batch_cost=0.9307, reader_cost=0.0015 | ETA 07:18:11 2020-12-17 02:00:50 [INFO] [TRAIN] epoch=18, iter=11760/40000, loss=0.4029, lr=0.007310, batch_cost=0.9974, reader_cost=0.0002 | ETA 07:49:25 2020-12-17 02:00:59 [INFO] [TRAIN] epoch=18, iter=11770/40000, loss=0.4806, lr=0.007308, batch_cost=0.8735, reader_cost=0.0003 | ETA 06:50:59 2020-12-17 02:01:07 [INFO] [TRAIN] epoch=18, iter=11780/40000, loss=0.3088, lr=0.007306, batch_cost=0.7862, reader_cost=0.0001 | ETA 06:09:46 2020-12-17 02:01:15 [INFO] [TRAIN] epoch=18, iter=11790/40000, loss=0.5833, lr=0.007303, batch_cost=0.8550, reader_cost=0.0001 | ETA 06:41:59 2020-12-17 02:01:23 [INFO] [TRAIN] epoch=18, iter=11800/40000, loss=0.4098, lr=0.007301, batch_cost=0.7590, reader_cost=0.0002 | ETA 05:56:43 2020-12-17 02:01:30 [INFO] [TRAIN] epoch=18, iter=11810/40000, loss=0.3754, lr=0.007299, batch_cost=0.7348, reader_cost=0.0001 | ETA 05:45:14 2020-12-17 02:01:39 [INFO] [TRAIN] epoch=18, iter=11820/40000, loss=0.3853, lr=0.007296, batch_cost=0.8699, reader_cost=0.0005 | ETA 06:48:34 2020-12-17 02:01:50 [INFO] [TRAIN] epoch=18, iter=11830/40000, loss=0.4652, lr=0.007294, batch_cost=1.0694, reader_cost=0.0002 | ETA 08:22:04 2020-12-17 02:01:59 [INFO] [TRAIN] epoch=18, iter=11840/40000, loss=0.3950, lr=0.007292, batch_cost=0.9659, reader_cost=0.0002 | ETA 07:33:18 2020-12-17 02:02:09 [INFO] [TRAIN] epoch=18, iter=11850/40000, loss=0.3820, lr=0.007289, batch_cost=0.9248, reader_cost=0.0001 | ETA 07:13:52 2020-12-17 02:02:18 [INFO] [TRAIN] epoch=18, iter=11860/40000, loss=0.2485, lr=0.007287, batch_cost=0.9403, reader_cost=0.0001 | ETA 07:20:58 2020-12-17 02:02:27 [INFO] [TRAIN] epoch=18, iter=11870/40000, loss=0.4691, lr=0.007285, batch_cost=0.9128, reader_cost=0.0006 | ETA 07:07:56 2020-12-17 02:02:36 [INFO] [TRAIN] epoch=18, iter=11880/40000, loss=0.5560, lr=0.007282, batch_cost=0.9013, reader_cost=0.0002 | ETA 07:02:24 2020-12-17 02:02:46 [INFO] [TRAIN] epoch=18, iter=11890/40000, loss=0.3270, lr=0.007280, batch_cost=0.9777, reader_cost=0.0001 | ETA 07:38:01 2020-12-17 02:02:56 [INFO] [TRAIN] epoch=19, iter=11900/40000, loss=0.4052, lr=0.007278, batch_cost=0.9646, reader_cost=0.0239 | ETA 07:31:46 2020-12-17 02:03:06 [INFO] [TRAIN] epoch=19, iter=11910/40000, loss=0.4251, lr=0.007275, batch_cost=1.0403, reader_cost=0.0002 | ETA 08:07:03 2020-12-17 02:03:16 [INFO] [TRAIN] epoch=19, iter=11920/40000, loss=0.2662, lr=0.007273, batch_cost=1.0185, reader_cost=0.0001 | ETA 07:56:39 2020-12-17 02:03:25 [INFO] [TRAIN] epoch=19, iter=11930/40000, loss=0.3112, lr=0.007271, batch_cost=0.9055, reader_cost=0.0002 | ETA 07:03:36 2020-12-17 02:03:35 [INFO] [TRAIN] epoch=19, iter=11940/40000, loss=0.4929, lr=0.007268, batch_cost=0.9585, reader_cost=0.0014 | ETA 07:28:14 2020-12-17 02:03:44 [INFO] [TRAIN] epoch=19, iter=11950/40000, loss=0.4685, lr=0.007266, batch_cost=0.9586, reader_cost=0.0002 | ETA 07:28:09 2020-12-17 02:03:55 [INFO] [TRAIN] epoch=19, iter=11960/40000, loss=0.2718, lr=0.007264, batch_cost=1.0218, reader_cost=0.0002 | ETA 07:57:30 2020-12-17 02:04:04 [INFO] [TRAIN] epoch=19, iter=11970/40000, loss=0.2426, lr=0.007261, batch_cost=0.9689, reader_cost=0.0001 | ETA 07:32:37 2020-12-17 02:04:14 [INFO] [TRAIN] epoch=19, iter=11980/40000, loss=0.4517, lr=0.007259, batch_cost=0.9685, reader_cost=0.0011 | ETA 07:32:16 2020-12-17 02:04:25 [INFO] [TRAIN] epoch=19, iter=11990/40000, loss=0.3756, lr=0.007257, batch_cost=1.0622, reader_cost=0.0002 | ETA 08:15:51 2020-12-17 02:04:34 [INFO] [TRAIN] epoch=19, iter=12000/40000, loss=0.3390, lr=0.007254, batch_cost=0.9914, reader_cost=0.0002 | ETA 07:42:38 2020-12-17 02:04:35 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 02:05:23 [INFO] [EVAL] #Images=1449 mIoU=0.7204 Acc=0.9377 Kappa=0.8625 2020-12-17 02:05:23 [INFO] [EVAL] Class IoU: [0.9355 0.7843 0.4208 0.8448 0.5225 0.7185 0.9295 0.7435 0.8125 0.408 0.8377 0.5057 0.7473 0.7985 0.7514 0.8469 0.5872 0.8096 0.5471 0.8665 0.7112] 2020-12-17 02:05:23 [INFO] [EVAL] Class Acc: [0.9636 0.8027 0.4474 0.931 0.792 0.884 0.9788 0.7767 0.8315 0.5849 0.9495 0.9233 0.9038 0.8653 0.8238 0.946 0.8902 0.902 0.7796 0.9262 0.8302] 2020-12-17 02:05:31 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 02:05:41 [INFO] [TRAIN] epoch=19, iter=12010/40000, loss=0.3642, lr=0.007252, batch_cost=0.9967, reader_cost=0.0001 | ETA 07:44:58 2020-12-17 02:05:52 [INFO] [TRAIN] epoch=19, iter=12020/40000, loss=0.2485, lr=0.007250, batch_cost=1.0507, reader_cost=0.0002 | ETA 08:09:57 2020-12-17 02:06:02 [INFO] [TRAIN] epoch=19, iter=12030/40000, loss=0.2850, lr=0.007247, batch_cost=1.0453, reader_cost=0.0001 | ETA 08:07:18 2020-12-17 02:06:11 [INFO] [TRAIN] epoch=19, iter=12040/40000, loss=0.2425, lr=0.007245, batch_cost=0.8661, reader_cost=0.0014 | ETA 06:43:35 2020-12-17 02:06:21 [INFO] [TRAIN] epoch=19, iter=12050/40000, loss=0.4491, lr=0.007243, batch_cost=1.0347, reader_cost=0.0008 | ETA 08:01:59 2020-12-17 02:06:32 [INFO] [TRAIN] epoch=19, iter=12060/40000, loss=0.2870, lr=0.007240, batch_cost=1.0407, reader_cost=0.0002 | ETA 08:04:37 2020-12-17 02:06:41 [INFO] [TRAIN] epoch=19, iter=12070/40000, loss=0.2016, lr=0.007238, batch_cost=0.9041, reader_cost=0.0005 | ETA 07:00:52 2020-12-17 02:06:50 [INFO] [TRAIN] epoch=19, iter=12080/40000, loss=0.5310, lr=0.007236, batch_cost=0.9559, reader_cost=0.0002 | ETA 07:24:48 2020-12-17 02:06:58 [INFO] [TRAIN] epoch=19, iter=12090/40000, loss=0.3312, lr=0.007233, batch_cost=0.7564, reader_cost=0.0002 | ETA 05:51:50 2020-12-17 02:07:06 [INFO] [TRAIN] epoch=19, iter=12100/40000, loss=0.2683, lr=0.007231, batch_cost=0.8041, reader_cost=0.0001 | ETA 06:13:54 2020-12-17 02:07:13 [INFO] [TRAIN] epoch=19, iter=12110/40000, loss=0.3491, lr=0.007229, batch_cost=0.7537, reader_cost=0.0001 | ETA 05:50:20 2020-12-17 02:07:20 [INFO] [TRAIN] epoch=19, iter=12120/40000, loss=0.3291, lr=0.007226, batch_cost=0.7090, reader_cost=0.0001 | ETA 05:29:27 2020-12-17 02:07:30 [INFO] [TRAIN] epoch=19, iter=12130/40000, loss=0.2677, lr=0.007224, batch_cost=0.9186, reader_cost=0.0001 | ETA 07:06:40 2020-12-17 02:07:39 [INFO] [TRAIN] epoch=19, iter=12140/40000, loss=0.3697, lr=0.007222, batch_cost=0.9075, reader_cost=0.0001 | ETA 07:01:22 2020-12-17 02:07:48 [INFO] [TRAIN] epoch=19, iter=12150/40000, loss=0.2601, lr=0.007219, batch_cost=0.9148, reader_cost=0.0002 | ETA 07:04:36 2020-12-17 02:07:57 [INFO] [TRAIN] epoch=19, iter=12160/40000, loss=0.3217, lr=0.007217, batch_cost=0.9619, reader_cost=0.0002 | ETA 07:26:18 2020-12-17 02:08:05 [INFO] [TRAIN] epoch=19, iter=12170/40000, loss=0.3227, lr=0.007215, batch_cost=0.7912, reader_cost=0.0012 | ETA 06:06:58 2020-12-17 02:08:13 [INFO] [TRAIN] epoch=19, iter=12180/40000, loss=0.2416, lr=0.007212, batch_cost=0.7412, reader_cost=0.0001 | ETA 05:43:40 2020-12-17 02:08:21 [INFO] [TRAIN] epoch=19, iter=12190/40000, loss=0.4271, lr=0.007210, batch_cost=0.8251, reader_cost=0.0001 | ETA 06:22:27 2020-12-17 02:08:29 [INFO] [TRAIN] epoch=19, iter=12200/40000, loss=0.2745, lr=0.007208, batch_cost=0.7666, reader_cost=0.0001 | ETA 05:55:10 2020-12-17 02:08:36 [INFO] [TRAIN] epoch=19, iter=12210/40000, loss=0.2758, lr=0.007205, batch_cost=0.7424, reader_cost=0.0001 | ETA 05:43:51 2020-12-17 02:08:45 [INFO] [TRAIN] epoch=19, iter=12220/40000, loss=0.3110, lr=0.007203, batch_cost=0.8865, reader_cost=0.0012 | ETA 06:50:27 2020-12-17 02:08:55 [INFO] [TRAIN] epoch=19, iter=12230/40000, loss=0.3154, lr=0.007201, batch_cost=1.0072, reader_cost=0.0001 | ETA 07:46:10 2020-12-17 02:09:05 [INFO] [TRAIN] epoch=19, iter=12240/40000, loss=0.3121, lr=0.007198, batch_cost=0.9591, reader_cost=0.0002 | ETA 07:23:45 2020-12-17 02:09:13 [INFO] [TRAIN] epoch=19, iter=12250/40000, loss=0.4166, lr=0.007196, batch_cost=0.8745, reader_cost=0.0001 | ETA 06:44:27 2020-12-17 02:09:23 [INFO] [TRAIN] epoch=19, iter=12260/40000, loss=0.3109, lr=0.007194, batch_cost=0.9287, reader_cost=0.0001 | ETA 07:09:22 2020-12-17 02:09:33 [INFO] [TRAIN] epoch=19, iter=12270/40000, loss=0.3135, lr=0.007191, batch_cost=1.0565, reader_cost=0.0002 | ETA 08:08:16 2020-12-17 02:09:42 [INFO] [TRAIN] epoch=19, iter=12280/40000, loss=0.3037, lr=0.007189, batch_cost=0.9161, reader_cost=0.0014 | ETA 07:03:14 2020-12-17 02:09:51 [INFO] [TRAIN] epoch=19, iter=12290/40000, loss=0.3721, lr=0.007187, batch_cost=0.8772, reader_cost=0.0001 | ETA 06:45:07 2020-12-17 02:10:00 [INFO] [TRAIN] epoch=19, iter=12300/40000, loss=0.5140, lr=0.007184, batch_cost=0.8759, reader_cost=0.0014 | ETA 06:44:22 2020-12-17 02:10:09 [INFO] [TRAIN] epoch=19, iter=12310/40000, loss=0.3211, lr=0.007182, batch_cost=0.9160, reader_cost=0.0001 | ETA 07:02:44 2020-12-17 02:10:18 [INFO] [TRAIN] epoch=19, iter=12320/40000, loss=0.5352, lr=0.007180, batch_cost=0.9328, reader_cost=0.0001 | ETA 07:10:20 2020-12-17 02:10:28 [INFO] [TRAIN] epoch=19, iter=12330/40000, loss=0.3067, lr=0.007177, batch_cost=0.9750, reader_cost=0.0002 | ETA 07:29:38 2020-12-17 02:10:38 [INFO] [TRAIN] epoch=19, iter=12340/40000, loss=0.3183, lr=0.007175, batch_cost=0.9378, reader_cost=0.0012 | ETA 07:12:18 2020-12-17 02:10:46 [INFO] [TRAIN] epoch=19, iter=12350/40000, loss=0.2113, lr=0.007173, batch_cost=0.8721, reader_cost=0.0002 | ETA 06:41:52 2020-12-17 02:10:55 [INFO] [TRAIN] epoch=19, iter=12360/40000, loss=0.2790, lr=0.007170, batch_cost=0.8828, reader_cost=0.0001 | ETA 06:46:41 2020-12-17 02:11:04 [INFO] [TRAIN] epoch=19, iter=12370/40000, loss=0.3253, lr=0.007168, batch_cost=0.9244, reader_cost=0.0002 | ETA 07:05:41 2020-12-17 02:11:13 [INFO] [TRAIN] epoch=19, iter=12380/40000, loss=0.4532, lr=0.007166, batch_cost=0.8762, reader_cost=0.0001 | ETA 06:43:20 2020-12-17 02:11:22 [INFO] [TRAIN] epoch=19, iter=12390/40000, loss=0.4422, lr=0.007163, batch_cost=0.8782, reader_cost=0.0001 | ETA 06:44:06 2020-12-17 02:11:31 [INFO] [TRAIN] epoch=19, iter=12400/40000, loss=0.3004, lr=0.007161, batch_cost=0.8706, reader_cost=0.0001 | ETA 06:40:28 2020-12-17 02:11:40 [INFO] [TRAIN] epoch=19, iter=12410/40000, loss=0.3344, lr=0.007159, batch_cost=0.9212, reader_cost=0.0014 | ETA 07:03:36 2020-12-17 02:11:49 [INFO] [TRAIN] epoch=19, iter=12420/40000, loss=0.3924, lr=0.007156, batch_cost=0.9186, reader_cost=0.0001 | ETA 07:02:16 2020-12-17 02:11:59 [INFO] [TRAIN] epoch=19, iter=12430/40000, loss=0.3111, lr=0.007154, batch_cost=0.9989, reader_cost=0.0001 | ETA 07:39:00 2020-12-17 02:12:08 [INFO] [TRAIN] epoch=19, iter=12440/40000, loss=0.4668, lr=0.007152, batch_cost=0.9004, reader_cost=0.0001 | ETA 06:53:34 2020-12-17 02:12:17 [INFO] [TRAIN] epoch=19, iter=12450/40000, loss=0.3299, lr=0.007149, batch_cost=0.8993, reader_cost=0.0001 | ETA 06:52:56 2020-12-17 02:12:25 [INFO] [TRAIN] epoch=19, iter=12460/40000, loss=0.2983, lr=0.007147, batch_cost=0.8046, reader_cost=0.0001 | ETA 06:09:18 2020-12-17 02:12:34 [INFO] [TRAIN] epoch=19, iter=12470/40000, loss=0.5726, lr=0.007145, batch_cost=0.8800, reader_cost=0.0001 | ETA 06:43:45 2020-12-17 02:12:43 [INFO] [TRAIN] epoch=19, iter=12480/40000, loss=0.5315, lr=0.007142, batch_cost=0.9074, reader_cost=0.0006 | ETA 06:56:12 2020-12-17 02:12:52 [INFO] [TRAIN] epoch=19, iter=12490/40000, loss=0.4133, lr=0.007140, batch_cost=0.8854, reader_cost=0.0001 | ETA 06:45:57 2020-12-17 02:13:02 [INFO] [TRAIN] epoch=19, iter=12500/40000, loss=0.3705, lr=0.007138, batch_cost=0.9830, reader_cost=0.0001 | ETA 07:30:32 2020-12-17 02:13:12 [INFO] [TRAIN] epoch=19, iter=12510/40000, loss=0.2877, lr=0.007135, batch_cost=1.0008, reader_cost=0.0002 | ETA 07:38:31 2020-12-17 02:13:22 [INFO] [TRAIN] epoch=19, iter=12520/40000, loss=0.4123, lr=0.007133, batch_cost=1.0604, reader_cost=0.0001 | ETA 08:05:39 2020-12-17 02:13:30 [INFO] [TRAIN] epoch=19, iter=12530/40000, loss=0.4773, lr=0.007131, batch_cost=0.8081, reader_cost=0.0001 | ETA 06:09:59 2020-12-17 02:13:40 [INFO] [TRAIN] epoch=19, iter=12540/40000, loss=0.4677, lr=0.007128, batch_cost=0.9545, reader_cost=0.0001 | ETA 07:16:50 2020-12-17 02:13:56 [INFO] [TRAIN] epoch=19, iter=12550/40000, loss=0.6037, lr=0.007126, batch_cost=1.6060, reader_cost=0.0001 | ETA 12:14:43 2020-12-17 02:14:03 [INFO] [TRAIN] epoch=20, iter=12560/40000, loss=0.3177, lr=0.007124, batch_cost=0.7495, reader_cost=0.0210 | ETA 05:42:47 2020-12-17 02:14:12 [INFO] [TRAIN] epoch=20, iter=12570/40000, loss=0.3460, lr=0.007121, batch_cost=0.8629, reader_cost=0.0001 | ETA 06:34:30 2020-12-17 02:14:21 [INFO] [TRAIN] epoch=20, iter=12580/40000, loss=0.6175, lr=0.007119, batch_cost=0.9000, reader_cost=0.0002 | ETA 06:51:17 2020-12-17 02:14:31 [INFO] [TRAIN] epoch=20, iter=12590/40000, loss=0.2632, lr=0.007117, batch_cost=0.9782, reader_cost=0.0001 | ETA 07:26:52 2020-12-17 02:14:41 [INFO] [TRAIN] epoch=20, iter=12600/40000, loss=0.3793, lr=0.007114, batch_cost=1.0114, reader_cost=0.0002 | ETA 07:41:52 2020-12-17 02:14:50 [INFO] [TRAIN] epoch=20, iter=12610/40000, loss=0.5660, lr=0.007112, batch_cost=0.8894, reader_cost=0.0002 | ETA 06:46:00 2020-12-17 02:14:59 [INFO] [TRAIN] epoch=20, iter=12620/40000, loss=0.3934, lr=0.007110, batch_cost=0.9442, reader_cost=0.0002 | ETA 07:10:53 2020-12-17 02:15:09 [INFO] [TRAIN] epoch=20, iter=12630/40000, loss=0.2750, lr=0.007107, batch_cost=1.0075, reader_cost=0.0001 | ETA 07:39:35 2020-12-17 02:15:19 [INFO] [TRAIN] epoch=20, iter=12640/40000, loss=0.2910, lr=0.007105, batch_cost=0.9413, reader_cost=0.0002 | ETA 07:09:14 2020-12-17 02:15:29 [INFO] [TRAIN] epoch=20, iter=12650/40000, loss=0.3675, lr=0.007103, batch_cost=1.0082, reader_cost=0.0008 | ETA 07:39:34 2020-12-17 02:15:39 [INFO] [TRAIN] epoch=20, iter=12660/40000, loss=0.3783, lr=0.007100, batch_cost=0.9996, reader_cost=0.0002 | ETA 07:35:29 2020-12-17 02:15:49 [INFO] [TRAIN] epoch=20, iter=12670/40000, loss=0.2784, lr=0.007098, batch_cost=1.0245, reader_cost=0.0001 | ETA 07:46:40 2020-12-17 02:15:58 [INFO] [TRAIN] epoch=20, iter=12680/40000, loss=0.3830, lr=0.007096, batch_cost=0.9069, reader_cost=0.0002 | ETA 06:52:55 2020-12-17 02:16:08 [INFO] [TRAIN] epoch=20, iter=12690/40000, loss=0.2765, lr=0.007093, batch_cost=0.9641, reader_cost=0.0001 | ETA 07:18:50 2020-12-17 02:16:17 [INFO] [TRAIN] epoch=20, iter=12700/40000, loss=0.4654, lr=0.007091, batch_cost=0.9542, reader_cost=0.0002 | ETA 07:14:09 2020-12-17 02:16:27 [INFO] [TRAIN] epoch=20, iter=12710/40000, loss=0.4444, lr=0.007089, batch_cost=0.9531, reader_cost=0.0002 | ETA 07:13:31 2020-12-17 02:16:37 [INFO] [TRAIN] epoch=20, iter=12720/40000, loss=0.3154, lr=0.007086, batch_cost=0.9601, reader_cost=0.0002 | ETA 07:16:32 2020-12-17 02:16:46 [INFO] [TRAIN] epoch=20, iter=12730/40000, loss=0.3291, lr=0.007084, batch_cost=0.9233, reader_cost=0.0002 | ETA 06:59:37 2020-12-17 02:16:54 [INFO] [TRAIN] epoch=20, iter=12740/40000, loss=0.4606, lr=0.007082, batch_cost=0.8103, reader_cost=0.0001 | ETA 06:08:08 2020-12-17 02:17:03 [INFO] [TRAIN] epoch=20, iter=12750/40000, loss=0.3443, lr=0.007079, batch_cost=0.9549, reader_cost=0.0001 | ETA 07:13:41 2020-12-17 02:17:12 [INFO] [TRAIN] epoch=20, iter=12760/40000, loss=0.4130, lr=0.007077, batch_cost=0.8937, reader_cost=0.0001 | ETA 06:45:45 2020-12-17 02:17:23 [INFO] [TRAIN] epoch=20, iter=12770/40000, loss=0.3790, lr=0.007075, batch_cost=1.1119, reader_cost=0.0015 | ETA 08:24:38 2020-12-17 02:17:34 [INFO] [TRAIN] epoch=20, iter=12780/40000, loss=0.4715, lr=0.007072, batch_cost=1.0702, reader_cost=0.0014 | ETA 08:05:31 2020-12-17 02:17:44 [INFO] [TRAIN] epoch=20, iter=12790/40000, loss=0.2303, lr=0.007070, batch_cost=0.9475, reader_cost=0.0001 | ETA 07:09:41 2020-12-17 02:17:53 [INFO] [TRAIN] epoch=20, iter=12800/40000, loss=0.3835, lr=0.007068, batch_cost=0.9110, reader_cost=0.0014 | ETA 06:52:58 2020-12-17 02:18:03 [INFO] [TRAIN] epoch=20, iter=12810/40000, loss=0.2715, lr=0.007065, batch_cost=1.0103, reader_cost=0.0001 | ETA 07:37:48 2020-12-17 02:18:13 [INFO] [TRAIN] epoch=20, iter=12820/40000, loss=0.3043, lr=0.007063, batch_cost=1.0065, reader_cost=0.0001 | ETA 07:35:56 2020-12-17 02:18:22 [INFO] [TRAIN] epoch=20, iter=12830/40000, loss=0.4085, lr=0.007061, batch_cost=0.9151, reader_cost=0.0002 | ETA 06:54:22 2020-12-17 02:18:31 [INFO] [TRAIN] epoch=20, iter=12840/40000, loss=0.3082, lr=0.007058, batch_cost=0.9307, reader_cost=0.0001 | ETA 07:01:18 2020-12-17 02:18:40 [INFO] [TRAIN] epoch=20, iter=12850/40000, loss=0.3114, lr=0.007056, batch_cost=0.8882, reader_cost=0.0001 | ETA 06:41:54 2020-12-17 02:18:49 [INFO] [TRAIN] epoch=20, iter=12860/40000, loss=0.2495, lr=0.007054, batch_cost=0.8649, reader_cost=0.0002 | ETA 06:31:13 2020-12-17 02:18:58 [INFO] [TRAIN] epoch=20, iter=12870/40000, loss=0.3018, lr=0.007051, batch_cost=0.9174, reader_cost=0.0001 | ETA 06:54:48 2020-12-17 02:19:06 [INFO] [TRAIN] epoch=20, iter=12880/40000, loss=0.2986, lr=0.007049, batch_cost=0.8261, reader_cost=0.0001 | ETA 06:13:23 2020-12-17 02:19:15 [INFO] [TRAIN] epoch=20, iter=12890/40000, loss=0.4423, lr=0.007047, batch_cost=0.8417, reader_cost=0.0005 | ETA 06:20:18 2020-12-17 02:19:24 [INFO] [TRAIN] epoch=20, iter=12900/40000, loss=0.3817, lr=0.007044, batch_cost=0.9416, reader_cost=0.0001 | ETA 07:05:18 2020-12-17 02:19:33 [INFO] [TRAIN] epoch=20, iter=12910/40000, loss=0.4371, lr=0.007042, batch_cost=0.8753, reader_cost=0.0002 | ETA 06:35:12 2020-12-17 02:19:40 [INFO] [TRAIN] epoch=20, iter=12920/40000, loss=0.4003, lr=0.007040, batch_cost=0.7292, reader_cost=0.0017 | ETA 05:29:06 2020-12-17 02:19:48 [INFO] [TRAIN] epoch=20, iter=12930/40000, loss=0.3894, lr=0.007037, batch_cost=0.8113, reader_cost=0.0014 | ETA 06:06:01 2020-12-17 02:19:56 [INFO] [TRAIN] epoch=20, iter=12940/40000, loss=0.3645, lr=0.007035, batch_cost=0.7406, reader_cost=0.0001 | ETA 05:34:01 2020-12-17 02:20:03 [INFO] [TRAIN] epoch=20, iter=12950/40000, loss=0.3944, lr=0.007033, batch_cost=0.7302, reader_cost=0.0001 | ETA 05:29:12 2020-12-17 02:20:11 [INFO] [TRAIN] epoch=20, iter=12960/40000, loss=0.1889, lr=0.007030, batch_cost=0.8098, reader_cost=0.0001 | ETA 06:04:57 2020-12-17 02:20:20 [INFO] [TRAIN] epoch=20, iter=12970/40000, loss=0.3217, lr=0.007028, batch_cost=0.8673, reader_cost=0.0002 | ETA 06:30:41 2020-12-17 02:20:28 [INFO] [TRAIN] epoch=20, iter=12980/40000, loss=0.3125, lr=0.007026, batch_cost=0.8251, reader_cost=0.0002 | ETA 06:11:33 2020-12-17 02:20:39 [INFO] [TRAIN] epoch=20, iter=12990/40000, loss=0.4949, lr=0.007023, batch_cost=1.0925, reader_cost=0.0002 | ETA 08:11:47 2020-12-17 02:20:49 [INFO] [TRAIN] epoch=20, iter=13000/40000, loss=0.2789, lr=0.007021, batch_cost=1.0126, reader_cost=0.0015 | ETA 07:35:39 2020-12-17 02:20:49 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 02:21:38 [INFO] [EVAL] #Images=1449 mIoU=0.7148 Acc=0.9354 Kappa=0.8574 2020-12-17 02:21:38 [INFO] [EVAL] Class IoU: [0.9328 0.8083 0.3752 0.8471 0.6446 0.6962 0.9225 0.7143 0.8829 0.3489 0.7187 0.53 0.8188 0.7368 0.7849 0.8305 0.5688 0.7611 0.5541 0.8078 0.7261] 2020-12-17 02:21:38 [INFO] [EVAL] Class Acc: [0.962 0.8527 0.4248 0.9243 0.7188 0.8966 0.9821 0.743 0.9212 0.5446 0.7636 0.8785 0.8989 0.9136 0.8895 0.9526 0.6833 0.9677 0.7395 0.9522 0.8272] 2020-12-17 02:21:47 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 02:21:56 [INFO] [TRAIN] epoch=20, iter=13010/40000, loss=0.3172, lr=0.007018, batch_cost=0.9020, reader_cost=0.0002 | ETA 06:45:44 2020-12-17 02:22:06 [INFO] [TRAIN] epoch=20, iter=13020/40000, loss=0.2848, lr=0.007016, batch_cost=1.0195, reader_cost=0.0001 | ETA 07:38:26 2020-12-17 02:22:16 [INFO] [TRAIN] epoch=20, iter=13030/40000, loss=0.2879, lr=0.007014, batch_cost=0.9474, reader_cost=0.0001 | ETA 07:05:51 2020-12-17 02:22:26 [INFO] [TRAIN] epoch=20, iter=13040/40000, loss=0.3693, lr=0.007011, batch_cost=0.9935, reader_cost=0.0001 | ETA 07:26:23 2020-12-17 02:22:35 [INFO] [TRAIN] epoch=20, iter=13050/40000, loss=0.4590, lr=0.007009, batch_cost=0.9426, reader_cost=0.0001 | ETA 07:03:22 2020-12-17 02:22:45 [INFO] [TRAIN] epoch=20, iter=13060/40000, loss=0.2671, lr=0.007007, batch_cost=0.9536, reader_cost=0.0002 | ETA 07:08:10 2020-12-17 02:22:55 [INFO] [TRAIN] epoch=20, iter=13070/40000, loss=0.3819, lr=0.007004, batch_cost=1.0361, reader_cost=0.0002 | ETA 07:45:02 2020-12-17 02:23:05 [INFO] [TRAIN] epoch=20, iter=13080/40000, loss=0.4642, lr=0.007002, batch_cost=0.9684, reader_cost=0.0002 | ETA 07:14:29 2020-12-17 02:23:15 [INFO] [TRAIN] epoch=20, iter=13090/40000, loss=0.3071, lr=0.007000, batch_cost=0.9789, reader_cost=0.0002 | ETA 07:19:03 2020-12-17 02:23:25 [INFO] [TRAIN] epoch=20, iter=13100/40000, loss=0.2649, lr=0.006997, batch_cost=1.0873, reader_cost=0.0001 | ETA 08:07:28 2020-12-17 02:23:35 [INFO] [TRAIN] epoch=20, iter=13110/40000, loss=0.3136, lr=0.006995, batch_cost=0.9487, reader_cost=0.0002 | ETA 07:05:09 2020-12-17 02:23:43 [INFO] [TRAIN] epoch=20, iter=13120/40000, loss=0.3414, lr=0.006993, batch_cost=0.8222, reader_cost=0.0002 | ETA 06:08:21 2020-12-17 02:23:52 [INFO] [TRAIN] epoch=20, iter=13130/40000, loss=0.3020, lr=0.006990, batch_cost=0.8455, reader_cost=0.0002 | ETA 06:18:39 2020-12-17 02:24:01 [INFO] [TRAIN] epoch=20, iter=13140/40000, loss=0.3573, lr=0.006988, batch_cost=0.9363, reader_cost=0.0001 | ETA 06:59:09 2020-12-17 02:24:12 [INFO] [TRAIN] epoch=20, iter=13150/40000, loss=0.2917, lr=0.006986, batch_cost=1.0882, reader_cost=0.0002 | ETA 08:06:59 2020-12-17 02:24:22 [INFO] [TRAIN] epoch=20, iter=13160/40000, loss=0.3351, lr=0.006983, batch_cost=1.0172, reader_cost=0.0002 | ETA 07:35:01 2020-12-17 02:24:33 [INFO] [TRAIN] epoch=20, iter=13170/40000, loss=0.2571, lr=0.006981, batch_cost=1.1045, reader_cost=0.0002 | ETA 08:13:53 2020-12-17 02:24:42 [INFO] [TRAIN] epoch=20, iter=13180/40000, loss=0.3391, lr=0.006979, batch_cost=0.9061, reader_cost=0.0002 | ETA 06:45:01 2020-12-17 02:24:51 [INFO] [TRAIN] epoch=20, iter=13190/40000, loss=0.3424, lr=0.006976, batch_cost=0.8947, reader_cost=0.0002 | ETA 06:39:47 2020-12-17 02:25:01 [INFO] [TRAIN] epoch=20, iter=13200/40000, loss=0.6828, lr=0.006974, batch_cost=0.9710, reader_cost=0.0014 | ETA 07:13:41 2020-12-17 02:25:11 [INFO] [TRAIN] epoch=20, iter=13210/40000, loss=0.3318, lr=0.006972, batch_cost=0.9931, reader_cost=0.0002 | ETA 07:23:26 2020-12-17 02:25:20 [INFO] [TRAIN] epoch=20, iter=13220/40000, loss=0.5163, lr=0.006969, batch_cost=0.8741, reader_cost=0.0002 | ETA 06:30:07 2020-12-17 02:25:28 [INFO] [TRAIN] epoch=21, iter=13230/40000, loss=0.4075, lr=0.006967, batch_cost=0.8120, reader_cost=0.0497 | ETA 06:02:18 2020-12-17 02:25:36 [INFO] [TRAIN] epoch=21, iter=13240/40000, loss=0.2883, lr=0.006965, batch_cost=0.8674, reader_cost=0.0001 | ETA 06:26:51 2020-12-17 02:25:44 [INFO] [TRAIN] epoch=21, iter=13250/40000, loss=0.1635, lr=0.006962, batch_cost=0.7233, reader_cost=0.0001 | ETA 05:22:28 2020-12-17 02:25:52 [INFO] [TRAIN] epoch=21, iter=13260/40000, loss=0.2967, lr=0.006960, batch_cost=0.8122, reader_cost=0.0001 | ETA 06:01:58 2020-12-17 02:26:00 [INFO] [TRAIN] epoch=21, iter=13270/40000, loss=0.3697, lr=0.006958, batch_cost=0.8427, reader_cost=0.0001 | ETA 06:15:24 2020-12-17 02:26:10 [INFO] [TRAIN] epoch=21, iter=13280/40000, loss=0.1958, lr=0.006955, batch_cost=0.9590, reader_cost=0.0002 | ETA 07:07:03 2020-12-17 02:26:19 [INFO] [TRAIN] epoch=21, iter=13290/40000, loss=0.4456, lr=0.006953, batch_cost=0.9044, reader_cost=0.0002 | ETA 06:42:36 2020-12-17 02:26:28 [INFO] [TRAIN] epoch=21, iter=13300/40000, loss=0.2602, lr=0.006951, batch_cost=0.9432, reader_cost=0.0002 | ETA 06:59:43 2020-12-17 02:26:36 [INFO] [TRAIN] epoch=21, iter=13310/40000, loss=0.3425, lr=0.006948, batch_cost=0.7986, reader_cost=0.0001 | ETA 05:55:14 2020-12-17 02:26:45 [INFO] [TRAIN] epoch=21, iter=13320/40000, loss=0.4507, lr=0.006946, batch_cost=0.8806, reader_cost=0.0001 | ETA 06:31:35 2020-12-17 02:26:53 [INFO] [TRAIN] epoch=21, iter=13330/40000, loss=0.3074, lr=0.006944, batch_cost=0.8418, reader_cost=0.0001 | ETA 06:14:10 2020-12-17 02:27:02 [INFO] [TRAIN] epoch=21, iter=13340/40000, loss=0.3497, lr=0.006941, batch_cost=0.8973, reader_cost=0.0002 | ETA 06:38:42 2020-12-17 02:27:13 [INFO] [TRAIN] epoch=21, iter=13350/40000, loss=0.3559, lr=0.006939, batch_cost=1.0235, reader_cost=0.0019 | ETA 07:34:35 2020-12-17 02:27:21 [INFO] [TRAIN] epoch=21, iter=13360/40000, loss=0.4024, lr=0.006937, batch_cost=0.8547, reader_cost=0.0001 | ETA 06:19:28 2020-12-17 02:27:30 [INFO] [TRAIN] epoch=21, iter=13370/40000, loss=0.3636, lr=0.006934, batch_cost=0.9312, reader_cost=0.0002 | ETA 06:53:18 2020-12-17 02:27:39 [INFO] [TRAIN] epoch=21, iter=13380/40000, loss=0.3032, lr=0.006932, batch_cost=0.8757, reader_cost=0.0003 | ETA 06:28:31 2020-12-17 02:27:49 [INFO] [TRAIN] epoch=21, iter=13390/40000, loss=0.4181, lr=0.006929, batch_cost=0.9637, reader_cost=0.0001 | ETA 07:07:25 2020-12-17 02:27:59 [INFO] [TRAIN] epoch=21, iter=13400/40000, loss=0.4334, lr=0.006927, batch_cost=0.9881, reader_cost=0.0001 | ETA 07:18:04 2020-12-17 02:28:09 [INFO] [TRAIN] epoch=21, iter=13410/40000, loss=0.3477, lr=0.006925, batch_cost=1.0073, reader_cost=0.0002 | ETA 07:26:22 2020-12-17 02:28:18 [INFO] [TRAIN] epoch=21, iter=13420/40000, loss=0.3105, lr=0.006922, batch_cost=0.9228, reader_cost=0.0012 | ETA 06:48:48 2020-12-17 02:28:28 [INFO] [TRAIN] epoch=21, iter=13430/40000, loss=0.1995, lr=0.006920, batch_cost=0.9571, reader_cost=0.0002 | ETA 07:03:50 2020-12-17 02:28:37 [INFO] [TRAIN] epoch=21, iter=13440/40000, loss=0.3531, lr=0.006918, batch_cost=0.9433, reader_cost=0.0002 | ETA 06:57:33 2020-12-17 02:28:46 [INFO] [TRAIN] epoch=21, iter=13450/40000, loss=0.2351, lr=0.006915, batch_cost=0.8825, reader_cost=0.0001 | ETA 06:30:31 2020-12-17 02:28:55 [INFO] [TRAIN] epoch=21, iter=13460/40000, loss=0.3191, lr=0.006913, batch_cost=0.9637, reader_cost=0.0002 | ETA 07:06:16 2020-12-17 02:29:05 [INFO] [TRAIN] epoch=21, iter=13470/40000, loss=0.3501, lr=0.006911, batch_cost=0.9184, reader_cost=0.0001 | ETA 06:46:05 2020-12-17 02:29:14 [INFO] [TRAIN] epoch=21, iter=13480/40000, loss=0.2686, lr=0.006908, batch_cost=0.9537, reader_cost=0.0001 | ETA 07:01:31 2020-12-17 02:29:23 [INFO] [TRAIN] epoch=21, iter=13490/40000, loss=0.4928, lr=0.006906, batch_cost=0.8797, reader_cost=0.0014 | ETA 06:28:40 2020-12-17 02:29:32 [INFO] [TRAIN] epoch=21, iter=13500/40000, loss=0.4298, lr=0.006904, batch_cost=0.8829, reader_cost=0.0002 | ETA 06:29:55 2020-12-17 02:29:41 [INFO] [TRAIN] epoch=21, iter=13510/40000, loss=0.3387, lr=0.006901, batch_cost=0.9275, reader_cost=0.0002 | ETA 06:49:28 2020-12-17 02:29:50 [INFO] [TRAIN] epoch=21, iter=13520/40000, loss=0.2978, lr=0.006899, batch_cost=0.8988, reader_cost=0.0001 | ETA 06:36:39 2020-12-17 02:29:59 [INFO] [TRAIN] epoch=21, iter=13530/40000, loss=0.5345, lr=0.006897, batch_cost=0.9302, reader_cost=0.0002 | ETA 06:50:22 2020-12-17 02:30:08 [INFO] [TRAIN] epoch=21, iter=13540/40000, loss=0.3354, lr=0.006894, batch_cost=0.9050, reader_cost=0.0002 | ETA 06:39:06 2020-12-17 02:30:17 [INFO] [TRAIN] epoch=21, iter=13550/40000, loss=0.2317, lr=0.006892, batch_cost=0.8249, reader_cost=0.0001 | ETA 06:03:39 2020-12-17 02:30:26 [INFO] [TRAIN] epoch=21, iter=13560/40000, loss=0.2538, lr=0.006890, batch_cost=0.9608, reader_cost=0.0018 | ETA 07:03:22 2020-12-17 02:30:35 [INFO] [TRAIN] epoch=21, iter=13570/40000, loss=0.2891, lr=0.006887, batch_cost=0.9059, reader_cost=0.0002 | ETA 06:39:03 2020-12-17 02:30:45 [INFO] [TRAIN] epoch=21, iter=13580/40000, loss=0.5171, lr=0.006885, batch_cost=0.9375, reader_cost=0.0001 | ETA 06:52:49 2020-12-17 02:30:55 [INFO] [TRAIN] epoch=21, iter=13590/40000, loss=0.4219, lr=0.006883, batch_cost=1.0723, reader_cost=0.0002 | ETA 07:51:59 2020-12-17 02:31:05 [INFO] [TRAIN] epoch=21, iter=13600/40000, loss=0.3426, lr=0.006880, batch_cost=0.9533, reader_cost=0.0001 | ETA 06:59:26 2020-12-17 02:31:15 [INFO] [TRAIN] epoch=21, iter=13610/40000, loss=0.3537, lr=0.006878, batch_cost=0.9602, reader_cost=0.0001 | ETA 07:02:19 2020-12-17 02:31:23 [INFO] [TRAIN] epoch=21, iter=13620/40000, loss=0.4872, lr=0.006876, batch_cost=0.8155, reader_cost=0.0001 | ETA 05:58:33 2020-12-17 02:31:31 [INFO] [TRAIN] epoch=21, iter=13630/40000, loss=0.2827, lr=0.006873, batch_cost=0.7859, reader_cost=0.0001 | ETA 05:45:25 2020-12-17 02:31:38 [INFO] [TRAIN] epoch=21, iter=13640/40000, loss=0.3316, lr=0.006871, batch_cost=0.7035, reader_cost=0.0001 | ETA 05:09:03 2020-12-17 02:31:46 [INFO] [TRAIN] epoch=21, iter=13650/40000, loss=0.3484, lr=0.006869, batch_cost=0.8129, reader_cost=0.0001 | ETA 05:56:58 2020-12-17 02:31:55 [INFO] [TRAIN] epoch=21, iter=13660/40000, loss=0.4008, lr=0.006866, batch_cost=0.8705, reader_cost=0.0001 | ETA 06:22:09 2020-12-17 02:32:04 [INFO] [TRAIN] epoch=21, iter=13670/40000, loss=0.4162, lr=0.006864, batch_cost=0.9884, reader_cost=0.0002 | ETA 07:13:43 2020-12-17 02:32:14 [INFO] [TRAIN] epoch=21, iter=13680/40000, loss=0.2526, lr=0.006861, batch_cost=0.9385, reader_cost=0.0002 | ETA 06:51:42 2020-12-17 02:32:24 [INFO] [TRAIN] epoch=21, iter=13690/40000, loss=0.3011, lr=0.006859, batch_cost=0.9864, reader_cost=0.0007 | ETA 07:12:30 2020-12-17 02:32:33 [INFO] [TRAIN] epoch=21, iter=13700/40000, loss=0.4026, lr=0.006857, batch_cost=0.8928, reader_cost=0.0002 | ETA 06:31:21 2020-12-17 02:32:41 [INFO] [TRAIN] epoch=21, iter=13710/40000, loss=0.2916, lr=0.006854, batch_cost=0.8874, reader_cost=0.0002 | ETA 06:28:48 2020-12-17 02:32:52 [INFO] [TRAIN] epoch=21, iter=13720/40000, loss=0.2939, lr=0.006852, batch_cost=1.0343, reader_cost=0.0002 | ETA 07:33:00 2020-12-17 02:33:01 [INFO] [TRAIN] epoch=21, iter=13730/40000, loss=0.6109, lr=0.006850, batch_cost=0.9392, reader_cost=0.0014 | ETA 06:51:13 2020-12-17 02:33:10 [INFO] [TRAIN] epoch=21, iter=13740/40000, loss=0.3278, lr=0.006847, batch_cost=0.8610, reader_cost=0.0001 | ETA 06:16:51 2020-12-17 02:33:19 [INFO] [TRAIN] epoch=21, iter=13750/40000, loss=0.5041, lr=0.006845, batch_cost=0.9226, reader_cost=0.0002 | ETA 06:43:37 2020-12-17 02:33:29 [INFO] [TRAIN] epoch=21, iter=13760/40000, loss=0.3407, lr=0.006843, batch_cost=1.0264, reader_cost=0.0001 | ETA 07:28:52 2020-12-17 02:33:39 [INFO] [TRAIN] epoch=21, iter=13770/40000, loss=0.2715, lr=0.006840, batch_cost=0.9698, reader_cost=0.0002 | ETA 07:03:57 2020-12-17 02:33:50 [INFO] [TRAIN] epoch=21, iter=13780/40000, loss=0.3452, lr=0.006838, batch_cost=1.0698, reader_cost=0.0002 | ETA 07:47:30 2020-12-17 02:33:59 [INFO] [TRAIN] epoch=21, iter=13790/40000, loss=0.3098, lr=0.006836, batch_cost=0.9808, reader_cost=0.0002 | ETA 07:08:25 2020-12-17 02:34:10 [INFO] [TRAIN] epoch=21, iter=13800/40000, loss=0.3335, lr=0.006833, batch_cost=1.0310, reader_cost=0.0002 | ETA 07:30:12 2020-12-17 02:34:20 [INFO] [TRAIN] epoch=21, iter=13810/40000, loss=0.3221, lr=0.006831, batch_cost=1.0217, reader_cost=0.0001 | ETA 07:25:58 2020-12-17 02:34:29 [INFO] [TRAIN] epoch=21, iter=13820/40000, loss=0.2896, lr=0.006829, batch_cost=0.9346, reader_cost=0.0002 | ETA 06:47:48 2020-12-17 02:34:39 [INFO] [TRAIN] epoch=21, iter=13830/40000, loss=0.2302, lr=0.006826, batch_cost=0.9421, reader_cost=0.0013 | ETA 06:50:54 2020-12-17 02:34:49 [INFO] [TRAIN] epoch=21, iter=13840/40000, loss=0.4347, lr=0.006824, batch_cost=1.0219, reader_cost=0.0002 | ETA 07:25:32 2020-12-17 02:34:59 [INFO] [TRAIN] epoch=21, iter=13850/40000, loss=0.3060, lr=0.006822, batch_cost=1.0078, reader_cost=0.0002 | ETA 07:19:14 2020-12-17 02:35:09 [INFO] [TRAIN] epoch=21, iter=13860/40000, loss=0.3516, lr=0.006819, batch_cost=1.0220, reader_cost=0.0022 | ETA 07:25:14 2020-12-17 02:35:18 [INFO] [TRAIN] epoch=21, iter=13870/40000, loss=0.4852, lr=0.006817, batch_cost=0.8663, reader_cost=0.0010 | ETA 06:17:16 2020-12-17 02:35:26 [INFO] [TRAIN] epoch=21, iter=13880/40000, loss=0.2495, lr=0.006815, batch_cost=0.8196, reader_cost=0.0001 | ETA 05:56:47 2020-12-17 02:35:36 [INFO] [TRAIN] epoch=22, iter=13890/40000, loss=0.4929, lr=0.006812, batch_cost=0.9395, reader_cost=0.0546 | ETA 06:48:51 2020-12-17 02:35:44 [INFO] [TRAIN] epoch=22, iter=13900/40000, loss=0.4140, lr=0.006810, batch_cost=0.8448, reader_cost=0.0002 | ETA 06:07:29 2020-12-17 02:35:54 [INFO] [TRAIN] epoch=22, iter=13910/40000, loss=0.2421, lr=0.006808, batch_cost=0.9523, reader_cost=0.0001 | ETA 06:54:04 2020-12-17 02:36:02 [INFO] [TRAIN] epoch=22, iter=13920/40000, loss=0.3382, lr=0.006805, batch_cost=0.8688, reader_cost=0.0002 | ETA 06:17:38 2020-12-17 02:36:11 [INFO] [TRAIN] epoch=22, iter=13930/40000, loss=0.3586, lr=0.006803, batch_cost=0.8555, reader_cost=0.0001 | ETA 06:11:41 2020-12-17 02:36:21 [INFO] [TRAIN] epoch=22, iter=13940/40000, loss=0.3634, lr=0.006800, batch_cost=1.0081, reader_cost=0.0002 | ETA 07:17:52 2020-12-17 02:36:30 [INFO] [TRAIN] epoch=22, iter=13950/40000, loss=0.3433, lr=0.006798, batch_cost=0.9524, reader_cost=0.0002 | ETA 06:53:30 2020-12-17 02:36:40 [INFO] [TRAIN] epoch=22, iter=13960/40000, loss=0.4468, lr=0.006796, batch_cost=0.9851, reader_cost=0.0004 | ETA 07:07:31 2020-12-17 02:36:50 [INFO] [TRAIN] epoch=22, iter=13970/40000, loss=0.3041, lr=0.006793, batch_cost=0.9380, reader_cost=0.0002 | ETA 06:46:56 2020-12-17 02:36:58 [INFO] [TRAIN] epoch=22, iter=13980/40000, loss=0.2387, lr=0.006791, batch_cost=0.8715, reader_cost=0.0002 | ETA 06:17:56 2020-12-17 02:37:06 [INFO] [TRAIN] epoch=22, iter=13990/40000, loss=0.3664, lr=0.006789, batch_cost=0.8050, reader_cost=0.0001 | ETA 05:48:58 2020-12-17 02:37:14 [INFO] [TRAIN] epoch=22, iter=14000/40000, loss=0.3119, lr=0.006786, batch_cost=0.8102, reader_cost=0.0012 | ETA 05:51:04 2020-12-17 02:37:15 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 02:37:49 [INFO] [EVAL] #Images=1449 mIoU=0.7212 Acc=0.9321 Kappa=0.8512 2020-12-17 02:37:49 [INFO] [EVAL] Class IoU: [0.927 0.8595 0.3846 0.8335 0.6884 0.7582 0.923 0.8768 0.8678 0.372 0.7866 0.5473 0.7733 0.7234 0.8357 0.8437 0.3129 0.8136 0.4768 0.778 0.7636] 2020-12-17 02:37:49 [INFO] [EVAL] Class Acc: [0.9617 0.9198 0.4129 0.9719 0.7963 0.9373 0.9798 0.9591 0.9005 0.6544 0.9291 0.9537 0.8479 0.7726 0.8816 0.9495 0.3177 0.9279 0.6613 0.9555 0.9028] 2020-12-17 02:37:57 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 02:38:06 [INFO] [TRAIN] epoch=22, iter=14010/40000, loss=0.2174, lr=0.006784, batch_cost=0.9257, reader_cost=0.0002 | ETA 06:40:59 2020-12-17 02:38:16 [INFO] [TRAIN] epoch=22, iter=14020/40000, loss=0.3313, lr=0.006782, batch_cost=0.9198, reader_cost=0.0001 | ETA 06:38:17 2020-12-17 02:38:25 [INFO] [TRAIN] epoch=22, iter=14030/40000, loss=0.1727, lr=0.006779, batch_cost=0.9097, reader_cost=0.0001 | ETA 06:33:44 2020-12-17 02:38:34 [INFO] [TRAIN] epoch=22, iter=14040/40000, loss=0.3480, lr=0.006777, batch_cost=0.9344, reader_cost=0.0002 | ETA 06:44:17 2020-12-17 02:38:43 [INFO] [TRAIN] epoch=22, iter=14050/40000, loss=0.3289, lr=0.006775, batch_cost=0.9440, reader_cost=0.0001 | ETA 06:48:16 2020-12-17 02:38:53 [INFO] [TRAIN] epoch=22, iter=14060/40000, loss=0.3139, lr=0.006772, batch_cost=0.9236, reader_cost=0.0001 | ETA 06:39:17 2020-12-17 02:39:02 [INFO] [TRAIN] epoch=22, iter=14070/40000, loss=0.3391, lr=0.006770, batch_cost=0.9211, reader_cost=0.0002 | ETA 06:38:03 2020-12-17 02:39:11 [INFO] [TRAIN] epoch=22, iter=14080/40000, loss=0.2751, lr=0.006768, batch_cost=0.9558, reader_cost=0.0003 | ETA 06:52:55 2020-12-17 02:39:21 [INFO] [TRAIN] epoch=22, iter=14090/40000, loss=0.3309, lr=0.006765, batch_cost=0.9913, reader_cost=0.0002 | ETA 07:08:05 2020-12-17 02:39:32 [INFO] [TRAIN] epoch=22, iter=14100/40000, loss=0.3044, lr=0.006763, batch_cost=1.0659, reader_cost=0.0012 | ETA 07:40:07 2020-12-17 02:39:41 [INFO] [TRAIN] epoch=22, iter=14110/40000, loss=0.3502, lr=0.006761, batch_cost=0.9029, reader_cost=0.0001 | ETA 06:29:35 2020-12-17 02:39:50 [INFO] [TRAIN] epoch=22, iter=14120/40000, loss=0.3370, lr=0.006758, batch_cost=0.9358, reader_cost=0.0002 | ETA 06:43:39 2020-12-17 02:40:00 [INFO] [TRAIN] epoch=22, iter=14130/40000, loss=0.4020, lr=0.006756, batch_cost=0.9452, reader_cost=0.0002 | ETA 06:47:33 2020-12-17 02:40:09 [INFO] [TRAIN] epoch=22, iter=14140/40000, loss=0.4150, lr=0.006753, batch_cost=0.9164, reader_cost=0.0010 | ETA 06:34:58 2020-12-17 02:40:18 [INFO] [TRAIN] epoch=22, iter=14150/40000, loss=0.3715, lr=0.006751, batch_cost=0.8920, reader_cost=0.0001 | ETA 06:24:17 2020-12-17 02:40:26 [INFO] [TRAIN] epoch=22, iter=14160/40000, loss=0.3960, lr=0.006749, batch_cost=0.8092, reader_cost=0.0001 | ETA 05:48:30 2020-12-17 02:40:34 [INFO] [TRAIN] epoch=22, iter=14170/40000, loss=0.5268, lr=0.006746, batch_cost=0.7616, reader_cost=0.0001 | ETA 05:27:52 2020-12-17 02:40:41 [INFO] [TRAIN] epoch=22, iter=14180/40000, loss=0.4286, lr=0.006744, batch_cost=0.7311, reader_cost=0.0001 | ETA 05:14:36 2020-12-17 02:40:48 [INFO] [TRAIN] epoch=22, iter=14190/40000, loss=0.2740, lr=0.006742, batch_cost=0.7413, reader_cost=0.0001 | ETA 05:18:51 2020-12-17 02:40:56 [INFO] [TRAIN] epoch=22, iter=14200/40000, loss=0.2877, lr=0.006739, batch_cost=0.7268, reader_cost=0.0001 | ETA 05:12:31 2020-12-17 02:41:06 [INFO] [TRAIN] epoch=22, iter=14210/40000, loss=0.3601, lr=0.006737, batch_cost=0.9859, reader_cost=0.0001 | ETA 07:03:46 2020-12-17 02:41:15 [INFO] [TRAIN] epoch=22, iter=14220/40000, loss=0.3550, lr=0.006735, batch_cost=0.9853, reader_cost=0.0002 | ETA 07:03:20 2020-12-17 02:41:25 [INFO] [TRAIN] epoch=22, iter=14230/40000, loss=0.3061, lr=0.006732, batch_cost=1.0095, reader_cost=0.0002 | ETA 07:13:34 2020-12-17 02:41:36 [INFO] [TRAIN] epoch=22, iter=14240/40000, loss=0.3522, lr=0.006730, batch_cost=1.0659, reader_cost=0.0001 | ETA 07:37:38 2020-12-17 02:41:45 [INFO] [TRAIN] epoch=22, iter=14250/40000, loss=0.3810, lr=0.006728, batch_cost=0.9165, reader_cost=0.0002 | ETA 06:33:19 2020-12-17 02:41:54 [INFO] [TRAIN] epoch=22, iter=14260/40000, loss=0.2723, lr=0.006725, batch_cost=0.8431, reader_cost=0.0001 | ETA 06:01:40 2020-12-17 02:42:03 [INFO] [TRAIN] epoch=22, iter=14270/40000, loss=0.3818, lr=0.006723, batch_cost=0.9576, reader_cost=0.0014 | ETA 06:50:40 2020-12-17 02:42:12 [INFO] [TRAIN] epoch=22, iter=14280/40000, loss=0.3302, lr=0.006721, batch_cost=0.8798, reader_cost=0.0011 | ETA 06:17:08 2020-12-17 02:42:22 [INFO] [TRAIN] epoch=22, iter=14290/40000, loss=0.3140, lr=0.006718, batch_cost=1.0122, reader_cost=0.0001 | ETA 07:13:43 2020-12-17 02:42:31 [INFO] [TRAIN] epoch=22, iter=14300/40000, loss=0.5661, lr=0.006716, batch_cost=0.8279, reader_cost=0.0001 | ETA 05:54:36 2020-12-17 02:42:39 [INFO] [TRAIN] epoch=22, iter=14310/40000, loss=0.3809, lr=0.006713, batch_cost=0.8910, reader_cost=0.0001 | ETA 06:21:29 2020-12-17 02:42:49 [INFO] [TRAIN] epoch=22, iter=14320/40000, loss=0.3636, lr=0.006711, batch_cost=0.9367, reader_cost=0.0001 | ETA 06:40:53 2020-12-17 02:42:58 [INFO] [TRAIN] epoch=22, iter=14330/40000, loss=0.3478, lr=0.006709, batch_cost=0.9116, reader_cost=0.0002 | ETA 06:29:59 2020-12-17 02:43:07 [INFO] [TRAIN] epoch=22, iter=14340/40000, loss=0.2464, lr=0.006706, batch_cost=0.9566, reader_cost=0.0001 | ETA 06:49:05 2020-12-17 02:43:16 [INFO] [TRAIN] epoch=22, iter=14350/40000, loss=0.3096, lr=0.006704, batch_cost=0.8998, reader_cost=0.0006 | ETA 06:24:38 2020-12-17 02:43:24 [INFO] [TRAIN] epoch=22, iter=14360/40000, loss=0.3665, lr=0.006702, batch_cost=0.8007, reader_cost=0.0001 | ETA 05:42:10 2020-12-17 02:43:34 [INFO] [TRAIN] epoch=22, iter=14370/40000, loss=0.3722, lr=0.006699, batch_cost=0.9062, reader_cost=0.0001 | ETA 06:27:05 2020-12-17 02:43:46 [INFO] [TRAIN] epoch=22, iter=14380/40000, loss=0.3509, lr=0.006697, batch_cost=1.2950, reader_cost=0.0001 | ETA 09:12:57 2020-12-17 02:43:56 [INFO] [TRAIN] epoch=22, iter=14390/40000, loss=0.4754, lr=0.006695, batch_cost=0.9125, reader_cost=0.0001 | ETA 06:29:29 2020-12-17 02:44:04 [INFO] [TRAIN] epoch=22, iter=14400/40000, loss=0.2080, lr=0.006692, batch_cost=0.8056, reader_cost=0.0002 | ETA 05:43:44 2020-12-17 02:44:11 [INFO] [TRAIN] epoch=22, iter=14410/40000, loss=0.2804, lr=0.006690, batch_cost=0.7540, reader_cost=0.0001 | ETA 05:21:34 2020-12-17 02:44:19 [INFO] [TRAIN] epoch=22, iter=14420/40000, loss=0.3256, lr=0.006688, batch_cost=0.8240, reader_cost=0.0001 | ETA 05:51:17 2020-12-17 02:44:28 [INFO] [TRAIN] epoch=22, iter=14430/40000, loss=0.4139, lr=0.006685, batch_cost=0.8065, reader_cost=0.0001 | ETA 05:43:43 2020-12-17 02:44:38 [INFO] [TRAIN] epoch=22, iter=14440/40000, loss=0.3368, lr=0.006683, batch_cost=1.0570, reader_cost=0.0002 | ETA 07:30:15 2020-12-17 02:44:49 [INFO] [TRAIN] epoch=22, iter=14450/40000, loss=0.3209, lr=0.006681, batch_cost=1.0938, reader_cost=0.0002 | ETA 07:45:47 2020-12-17 02:44:58 [INFO] [TRAIN] epoch=22, iter=14460/40000, loss=0.3735, lr=0.006678, batch_cost=0.9314, reader_cost=0.0002 | ETA 06:36:27 2020-12-17 02:45:08 [INFO] [TRAIN] epoch=22, iter=14470/40000, loss=0.3072, lr=0.006676, batch_cost=0.9695, reader_cost=0.0001 | ETA 06:52:31 2020-12-17 02:45:19 [INFO] [TRAIN] epoch=22, iter=14480/40000, loss=0.3590, lr=0.006674, batch_cost=1.0655, reader_cost=0.0002 | ETA 07:33:11 2020-12-17 02:45:28 [INFO] [TRAIN] epoch=22, iter=14490/40000, loss=0.5096, lr=0.006671, batch_cost=0.9683, reader_cost=0.0001 | ETA 06:51:40 2020-12-17 02:45:37 [INFO] [TRAIN] epoch=22, iter=14500/40000, loss=0.4636, lr=0.006669, batch_cost=0.8850, reader_cost=0.0002 | ETA 06:16:06 2020-12-17 02:45:46 [INFO] [TRAIN] epoch=22, iter=14510/40000, loss=0.4295, lr=0.006666, batch_cost=0.8538, reader_cost=0.0001 | ETA 06:02:42 2020-12-17 02:45:56 [INFO] [TRAIN] epoch=22, iter=14520/40000, loss=0.2645, lr=0.006664, batch_cost=1.0170, reader_cost=0.0002 | ETA 07:11:53 2020-12-17 02:46:05 [INFO] [TRAIN] epoch=22, iter=14530/40000, loss=0.3197, lr=0.006662, batch_cost=0.9402, reader_cost=0.0002 | ETA 06:39:06 2020-12-17 02:46:15 [INFO] [TRAIN] epoch=22, iter=14540/40000, loss=0.3797, lr=0.006659, batch_cost=0.9749, reader_cost=0.0014 | ETA 06:53:40 2020-12-17 02:46:25 [INFO] [TRAIN] epoch=23, iter=14550/40000, loss=0.3369, lr=0.006657, batch_cost=1.0203, reader_cost=0.0285 | ETA 07:12:47 2020-12-17 02:46:35 [INFO] [TRAIN] epoch=23, iter=14560/40000, loss=0.2776, lr=0.006655, batch_cost=0.9466, reader_cost=0.0002 | ETA 06:41:21 2020-12-17 02:46:44 [INFO] [TRAIN] epoch=23, iter=14570/40000, loss=0.3210, lr=0.006652, batch_cost=0.9376, reader_cost=0.0001 | ETA 06:37:22 2020-12-17 02:46:53 [INFO] [TRAIN] epoch=23, iter=14580/40000, loss=0.3071, lr=0.006650, batch_cost=0.9116, reader_cost=0.0001 | ETA 06:26:12 2020-12-17 02:47:03 [INFO] [TRAIN] epoch=23, iter=14590/40000, loss=0.3318, lr=0.006648, batch_cost=0.9288, reader_cost=0.0002 | ETA 06:33:19 2020-12-17 02:47:12 [INFO] [TRAIN] epoch=23, iter=14600/40000, loss=0.2959, lr=0.006645, batch_cost=0.9762, reader_cost=0.0002 | ETA 06:53:14 2020-12-17 02:47:22 [INFO] [TRAIN] epoch=23, iter=14610/40000, loss=0.3305, lr=0.006643, batch_cost=0.9547, reader_cost=0.0002 | ETA 06:43:59 2020-12-17 02:47:32 [INFO] [TRAIN] epoch=23, iter=14620/40000, loss=0.5493, lr=0.006641, batch_cost=1.0101, reader_cost=0.0002 | ETA 07:07:16 2020-12-17 02:47:41 [INFO] [TRAIN] epoch=23, iter=14630/40000, loss=0.3163, lr=0.006638, batch_cost=0.9219, reader_cost=0.0001 | ETA 06:29:47 2020-12-17 02:47:50 [INFO] [TRAIN] epoch=23, iter=14640/40000, loss=0.2712, lr=0.006636, batch_cost=0.8786, reader_cost=0.0014 | ETA 06:11:21 2020-12-17 02:47:59 [INFO] [TRAIN] epoch=23, iter=14650/40000, loss=0.3469, lr=0.006633, batch_cost=0.8723, reader_cost=0.0001 | ETA 06:08:32 2020-12-17 02:48:07 [INFO] [TRAIN] epoch=23, iter=14660/40000, loss=0.3406, lr=0.006631, batch_cost=0.8684, reader_cost=0.0001 | ETA 06:06:45 2020-12-17 02:48:16 [INFO] [TRAIN] epoch=23, iter=14670/40000, loss=0.2739, lr=0.006629, batch_cost=0.8879, reader_cost=0.0002 | ETA 06:14:49 2020-12-17 02:48:26 [INFO] [TRAIN] epoch=23, iter=14680/40000, loss=0.2757, lr=0.006626, batch_cost=0.9337, reader_cost=0.0002 | ETA 06:34:00 2020-12-17 02:48:34 [INFO] [TRAIN] epoch=23, iter=14690/40000, loss=0.4469, lr=0.006624, batch_cost=0.8230, reader_cost=0.0001 | ETA 05:47:09 2020-12-17 02:48:43 [INFO] [TRAIN] epoch=23, iter=14700/40000, loss=0.2455, lr=0.006622, batch_cost=0.8769, reader_cost=0.0001 | ETA 06:09:46 2020-12-17 02:48:51 [INFO] [TRAIN] epoch=23, iter=14710/40000, loss=0.4208, lr=0.006619, batch_cost=0.8768, reader_cost=0.0001 | ETA 06:09:34 2020-12-17 02:49:02 [INFO] [TRAIN] epoch=23, iter=14720/40000, loss=0.3899, lr=0.006617, batch_cost=1.0683, reader_cost=0.0015 | ETA 07:30:07 2020-12-17 02:49:11 [INFO] [TRAIN] epoch=23, iter=14730/40000, loss=0.2507, lr=0.006615, batch_cost=0.8476, reader_cost=0.0001 | ETA 05:56:58 2020-12-17 02:49:19 [INFO] [TRAIN] epoch=23, iter=14740/40000, loss=0.3585, lr=0.006612, batch_cost=0.8555, reader_cost=0.0002 | ETA 06:00:09 2020-12-17 02:49:29 [INFO] [TRAIN] epoch=23, iter=14750/40000, loss=0.3594, lr=0.006610, batch_cost=0.9543, reader_cost=0.0001 | ETA 06:41:35 2020-12-17 02:49:38 [INFO] [TRAIN] epoch=23, iter=14760/40000, loss=0.3831, lr=0.006608, batch_cost=0.9306, reader_cost=0.0001 | ETA 06:31:27 2020-12-17 02:49:47 [INFO] [TRAIN] epoch=23, iter=14770/40000, loss=0.4066, lr=0.006605, batch_cost=0.8675, reader_cost=0.0028 | ETA 06:04:47 2020-12-17 02:49:55 [INFO] [TRAIN] epoch=23, iter=14780/40000, loss=0.5431, lr=0.006603, batch_cost=0.8521, reader_cost=0.0005 | ETA 05:58:10 2020-12-17 02:50:04 [INFO] [TRAIN] epoch=23, iter=14790/40000, loss=0.3902, lr=0.006601, batch_cost=0.8403, reader_cost=0.0001 | ETA 05:53:04 2020-12-17 02:50:12 [INFO] [TRAIN] epoch=23, iter=14800/40000, loss=0.2872, lr=0.006598, batch_cost=0.8204, reader_cost=0.0001 | ETA 05:44:33 2020-12-17 02:50:20 [INFO] [TRAIN] epoch=23, iter=14810/40000, loss=0.3435, lr=0.006596, batch_cost=0.8470, reader_cost=0.0010 | ETA 05:55:34 2020-12-17 02:50:28 [INFO] [TRAIN] epoch=23, iter=14820/40000, loss=0.1895, lr=0.006593, batch_cost=0.8037, reader_cost=0.0002 | ETA 05:37:17 2020-12-17 02:50:38 [INFO] [TRAIN] epoch=23, iter=14830/40000, loss=0.3748, lr=0.006591, batch_cost=0.9882, reader_cost=0.0004 | ETA 06:54:32 2020-12-17 02:50:47 [INFO] [TRAIN] epoch=23, iter=14840/40000, loss=0.2388, lr=0.006589, batch_cost=0.9367, reader_cost=0.0002 | ETA 06:32:46 2020-12-17 02:50:57 [INFO] [TRAIN] epoch=23, iter=14850/40000, loss=0.4113, lr=0.006586, batch_cost=0.9835, reader_cost=0.0002 | ETA 06:52:14 2020-12-17 02:51:07 [INFO] [TRAIN] epoch=23, iter=14860/40000, loss=0.3647, lr=0.006584, batch_cost=0.9995, reader_cost=0.0001 | ETA 06:58:47 2020-12-17 02:51:17 [INFO] [TRAIN] epoch=23, iter=14870/40000, loss=0.2705, lr=0.006582, batch_cost=0.9688, reader_cost=0.0002 | ETA 06:45:45 2020-12-17 02:51:27 [INFO] [TRAIN] epoch=23, iter=14880/40000, loss=0.4506, lr=0.006579, batch_cost=0.9542, reader_cost=0.0002 | ETA 06:39:29 2020-12-17 02:51:36 [INFO] [TRAIN] epoch=23, iter=14890/40000, loss=0.3529, lr=0.006577, batch_cost=0.9438, reader_cost=0.0002 | ETA 06:34:59 2020-12-17 02:51:45 [INFO] [TRAIN] epoch=23, iter=14900/40000, loss=0.3846, lr=0.006575, batch_cost=0.9009, reader_cost=0.0001 | ETA 06:16:51 2020-12-17 02:51:55 [INFO] [TRAIN] epoch=23, iter=14910/40000, loss=0.2990, lr=0.006572, batch_cost=1.0469, reader_cost=0.0001 | ETA 07:17:45 2020-12-17 02:52:05 [INFO] [TRAIN] epoch=23, iter=14920/40000, loss=0.4352, lr=0.006570, batch_cost=0.9917, reader_cost=0.0002 | ETA 06:54:31 2020-12-17 02:52:15 [INFO] [TRAIN] epoch=23, iter=14930/40000, loss=0.3926, lr=0.006568, batch_cost=0.9959, reader_cost=0.0002 | ETA 06:56:07 2020-12-17 02:52:25 [INFO] [TRAIN] epoch=23, iter=14940/40000, loss=0.4854, lr=0.006565, batch_cost=0.9592, reader_cost=0.0001 | ETA 06:40:36 2020-12-17 02:52:34 [INFO] [TRAIN] epoch=23, iter=14950/40000, loss=0.3487, lr=0.006563, batch_cost=0.8975, reader_cost=0.0001 | ETA 06:14:41 2020-12-17 02:52:42 [INFO] [TRAIN] epoch=23, iter=14960/40000, loss=0.3622, lr=0.006560, batch_cost=0.8548, reader_cost=0.0001 | ETA 05:56:45 2020-12-17 02:52:52 [INFO] [TRAIN] epoch=23, iter=14970/40000, loss=0.3633, lr=0.006558, batch_cost=0.9806, reader_cost=0.0001 | ETA 06:49:04 2020-12-17 02:53:02 [INFO] [TRAIN] epoch=23, iter=14980/40000, loss=0.3542, lr=0.006556, batch_cost=0.9658, reader_cost=0.0001 | ETA 06:42:43 2020-12-17 02:53:11 [INFO] [TRAIN] epoch=23, iter=14990/40000, loss=0.4064, lr=0.006553, batch_cost=0.9340, reader_cost=0.0014 | ETA 06:29:20 2020-12-17 02:53:20 [INFO] [TRAIN] epoch=23, iter=15000/40000, loss=0.4752, lr=0.006551, batch_cost=0.8884, reader_cost=0.0001 | ETA 06:10:10 2020-12-17 02:53:20 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 02:54:11 [INFO] [EVAL] #Images=1449 mIoU=0.7090 Acc=0.9330 Kappa=0.8512 2020-12-17 02:54:11 [INFO] [EVAL] Class IoU: [0.9291 0.8595 0.3731 0.8574 0.5196 0.6527 0.9455 0.8363 0.8547 0.3984 0.7583 0.3509 0.7991 0.7635 0.7906 0.8362 0.6346 0.7419 0.4348 0.8106 0.7428] 2020-12-17 02:54:11 [INFO] [EVAL] Class Acc: [0.9576 0.9143 0.3812 0.9307 0.5465 0.8875 0.9701 0.8858 0.9618 0.5396 0.9243 0.9599 0.854 0.8008 0.877 0.9515 0.8643 0.8897 0.7612 0.8731 0.9111] 2020-12-17 02:54:18 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 02:54:27 [INFO] [TRAIN] epoch=23, iter=15010/40000, loss=0.2673, lr=0.006549, batch_cost=0.8352, reader_cost=0.0001 | ETA 05:47:52 2020-12-17 02:54:35 [INFO] [TRAIN] epoch=23, iter=15020/40000, loss=0.4316, lr=0.006546, batch_cost=0.8654, reader_cost=0.0002 | ETA 06:00:18 2020-12-17 02:54:45 [INFO] [TRAIN] epoch=23, iter=15030/40000, loss=0.2609, lr=0.006544, batch_cost=0.9303, reader_cost=0.0001 | ETA 06:27:09 2020-12-17 02:54:53 [INFO] [TRAIN] epoch=23, iter=15040/40000, loss=0.3136, lr=0.006542, batch_cost=0.8794, reader_cost=0.0022 | ETA 06:05:49 2020-12-17 02:55:03 [INFO] [TRAIN] epoch=23, iter=15050/40000, loss=0.2459, lr=0.006539, batch_cost=0.9186, reader_cost=0.0002 | ETA 06:21:59 2020-12-17 02:55:12 [INFO] [TRAIN] epoch=23, iter=15060/40000, loss=0.3284, lr=0.006537, batch_cost=0.9545, reader_cost=0.0002 | ETA 06:36:44 2020-12-17 02:55:21 [INFO] [TRAIN] epoch=23, iter=15070/40000, loss=0.4884, lr=0.006534, batch_cost=0.8647, reader_cost=0.0011 | ETA 05:59:17 2020-12-17 02:55:30 [INFO] [TRAIN] epoch=23, iter=15080/40000, loss=0.3453, lr=0.006532, batch_cost=0.9326, reader_cost=0.0001 | ETA 06:27:19 2020-12-17 02:55:38 [INFO] [TRAIN] epoch=23, iter=15090/40000, loss=0.4142, lr=0.006530, batch_cost=0.7618, reader_cost=0.0002 | ETA 05:16:16 2020-12-17 02:55:46 [INFO] [TRAIN] epoch=23, iter=15100/40000, loss=0.3382, lr=0.006527, batch_cost=0.7917, reader_cost=0.0001 | ETA 05:28:34 2020-12-17 02:55:54 [INFO] [TRAIN] epoch=23, iter=15110/40000, loss=0.2884, lr=0.006525, batch_cost=0.8068, reader_cost=0.0001 | ETA 05:34:41 2020-12-17 02:56:01 [INFO] [TRAIN] epoch=23, iter=15120/40000, loss=0.2918, lr=0.006523, batch_cost=0.7291, reader_cost=0.0001 | ETA 05:02:20 2020-12-17 02:56:10 [INFO] [TRAIN] epoch=23, iter=15130/40000, loss=0.3951, lr=0.006520, batch_cost=0.8721, reader_cost=0.0001 | ETA 06:01:29 2020-12-17 02:56:18 [INFO] [TRAIN] epoch=23, iter=15140/40000, loss=0.4545, lr=0.006518, batch_cost=0.8442, reader_cost=0.0002 | ETA 05:49:47 2020-12-17 02:56:28 [INFO] [TRAIN] epoch=23, iter=15150/40000, loss=0.3051, lr=0.006516, batch_cost=0.9613, reader_cost=0.0002 | ETA 06:38:08 2020-12-17 02:56:38 [INFO] [TRAIN] epoch=23, iter=15160/40000, loss=0.3115, lr=0.006513, batch_cost=1.0334, reader_cost=0.0007 | ETA 07:07:50 2020-12-17 02:56:47 [INFO] [TRAIN] epoch=23, iter=15170/40000, loss=0.2452, lr=0.006511, batch_cost=0.8905, reader_cost=0.0001 | ETA 06:08:31 2020-12-17 02:56:57 [INFO] [TRAIN] epoch=23, iter=15180/40000, loss=0.2742, lr=0.006509, batch_cost=0.9669, reader_cost=0.0002 | ETA 06:39:58 2020-12-17 02:57:07 [INFO] [TRAIN] epoch=23, iter=15190/40000, loss=0.3770, lr=0.006506, batch_cost=1.0160, reader_cost=0.0002 | ETA 07:00:08 2020-12-17 02:57:17 [INFO] [TRAIN] epoch=23, iter=15200/40000, loss=0.3678, lr=0.006504, batch_cost=1.0198, reader_cost=0.0012 | ETA 07:01:31 2020-12-17 02:57:27 [INFO] [TRAIN] epoch=24, iter=15210/40000, loss=0.3849, lr=0.006501, batch_cost=0.9850, reader_cost=0.0298 | ETA 06:46:59 2020-12-17 02:57:37 [INFO] [TRAIN] epoch=24, iter=15220/40000, loss=0.2647, lr=0.006499, batch_cost=0.9760, reader_cost=0.0002 | ETA 06:43:04 2020-12-17 02:57:46 [INFO] [TRAIN] epoch=24, iter=15230/40000, loss=0.3323, lr=0.006497, batch_cost=0.9119, reader_cost=0.0001 | ETA 06:16:28 2020-12-17 02:57:56 [INFO] [TRAIN] epoch=24, iter=15240/40000, loss=0.3581, lr=0.006494, batch_cost=0.9725, reader_cost=0.0002 | ETA 06:41:18 2020-12-17 02:58:05 [INFO] [TRAIN] epoch=24, iter=15250/40000, loss=0.2853, lr=0.006492, batch_cost=0.9483, reader_cost=0.0016 | ETA 06:31:09 2020-12-17 02:58:14 [INFO] [TRAIN] epoch=24, iter=15260/40000, loss=0.1895, lr=0.006490, batch_cost=0.8896, reader_cost=0.0002 | ETA 06:06:49 2020-12-17 02:58:24 [INFO] [TRAIN] epoch=24, iter=15270/40000, loss=0.3206, lr=0.006487, batch_cost=1.0090, reader_cost=0.0002 | ETA 06:55:53 2020-12-17 02:58:33 [INFO] [TRAIN] epoch=24, iter=15280/40000, loss=0.2780, lr=0.006485, batch_cost=0.8983, reader_cost=0.0002 | ETA 06:10:06 2020-12-17 02:58:43 [INFO] [TRAIN] epoch=24, iter=15290/40000, loss=0.2066, lr=0.006483, batch_cost=0.9867, reader_cost=0.0002 | ETA 06:46:21 2020-12-17 02:58:52 [INFO] [TRAIN] epoch=24, iter=15300/40000, loss=0.2919, lr=0.006480, batch_cost=0.9095, reader_cost=0.0002 | ETA 06:14:23 2020-12-17 02:59:02 [INFO] [TRAIN] epoch=24, iter=15310/40000, loss=0.4163, lr=0.006478, batch_cost=1.0321, reader_cost=0.0002 | ETA 07:04:42 2020-12-17 02:59:11 [INFO] [TRAIN] epoch=24, iter=15320/40000, loss=0.2967, lr=0.006475, batch_cost=0.8842, reader_cost=0.0004 | ETA 06:03:41 2020-12-17 02:59:21 [INFO] [TRAIN] epoch=24, iter=15330/40000, loss=0.2748, lr=0.006473, batch_cost=0.9910, reader_cost=0.0002 | ETA 06:47:28 2020-12-17 02:59:30 [INFO] [TRAIN] epoch=24, iter=15340/40000, loss=0.3376, lr=0.006471, batch_cost=0.9013, reader_cost=0.0001 | ETA 06:10:27 2020-12-17 02:59:40 [INFO] [TRAIN] epoch=24, iter=15350/40000, loss=0.3911, lr=0.006468, batch_cost=0.9695, reader_cost=0.0011 | ETA 06:38:17 2020-12-17 02:59:48 [INFO] [TRAIN] epoch=24, iter=15360/40000, loss=0.4428, lr=0.006466, batch_cost=0.8617, reader_cost=0.0001 | ETA 05:53:52 2020-12-17 02:59:57 [INFO] [TRAIN] epoch=24, iter=15370/40000, loss=0.3979, lr=0.006464, batch_cost=0.8713, reader_cost=0.0001 | ETA 05:57:40 2020-12-17 03:00:07 [INFO] [TRAIN] epoch=24, iter=15380/40000, loss=0.3559, lr=0.006461, batch_cost=0.9627, reader_cost=0.0001 | ETA 06:35:01 2020-12-17 03:00:16 [INFO] [TRAIN] epoch=24, iter=15390/40000, loss=0.3214, lr=0.006459, batch_cost=0.9631, reader_cost=0.0001 | ETA 06:35:02 2020-12-17 03:00:25 [INFO] [TRAIN] epoch=24, iter=15400/40000, loss=0.2430, lr=0.006457, batch_cost=0.8927, reader_cost=0.0003 | ETA 06:05:59 2020-12-17 03:00:33 [INFO] [TRAIN] epoch=24, iter=15410/40000, loss=0.2403, lr=0.006454, batch_cost=0.8132, reader_cost=0.0002 | ETA 05:33:16 2020-12-17 03:00:43 [INFO] [TRAIN] epoch=24, iter=15420/40000, loss=0.3397, lr=0.006452, batch_cost=0.9505, reader_cost=0.0001 | ETA 06:29:24 2020-12-17 03:00:53 [INFO] [TRAIN] epoch=24, iter=15430/40000, loss=0.4678, lr=0.006450, batch_cost=0.9739, reader_cost=0.0002 | ETA 06:38:48 2020-12-17 03:01:02 [INFO] [TRAIN] epoch=24, iter=15440/40000, loss=0.3093, lr=0.006447, batch_cost=0.9260, reader_cost=0.0001 | ETA 06:19:02 2020-12-17 03:01:12 [INFO] [TRAIN] epoch=24, iter=15450/40000, loss=0.3680, lr=0.006445, batch_cost=1.0279, reader_cost=0.0014 | ETA 07:00:35 2020-12-17 03:01:21 [INFO] [TRAIN] epoch=24, iter=15460/40000, loss=0.1253, lr=0.006442, batch_cost=0.9034, reader_cost=0.0014 | ETA 06:09:29 2020-12-17 03:01:28 [INFO] [TRAIN] epoch=24, iter=15470/40000, loss=0.2831, lr=0.006440, batch_cost=0.7103, reader_cost=0.0001 | ETA 04:50:24 2020-12-17 03:01:36 [INFO] [TRAIN] epoch=24, iter=15480/40000, loss=0.2330, lr=0.006438, batch_cost=0.7773, reader_cost=0.0001 | ETA 05:17:39 2020-12-17 03:01:44 [INFO] [TRAIN] epoch=24, iter=15490/40000, loss=0.3141, lr=0.006435, batch_cost=0.7972, reader_cost=0.0001 | ETA 05:25:38 2020-12-17 03:01:51 [INFO] [TRAIN] epoch=24, iter=15500/40000, loss=0.3254, lr=0.006433, batch_cost=0.7040, reader_cost=0.0001 | ETA 04:47:28 2020-12-17 03:02:00 [INFO] [TRAIN] epoch=24, iter=15510/40000, loss=0.2004, lr=0.006431, batch_cost=0.8816, reader_cost=0.0002 | ETA 05:59:50 2020-12-17 03:02:09 [INFO] [TRAIN] epoch=24, iter=15520/40000, loss=0.2739, lr=0.006428, batch_cost=0.9419, reader_cost=0.0001 | ETA 06:24:18 2020-12-17 03:02:19 [INFO] [TRAIN] epoch=24, iter=15530/40000, loss=0.3103, lr=0.006426, batch_cost=0.9662, reader_cost=0.0002 | ETA 06:34:02 2020-12-17 03:02:28 [INFO] [TRAIN] epoch=24, iter=15540/40000, loss=0.3471, lr=0.006424, batch_cost=0.9077, reader_cost=0.0014 | ETA 06:10:02 2020-12-17 03:02:38 [INFO] [TRAIN] epoch=24, iter=15550/40000, loss=0.2934, lr=0.006421, batch_cost=0.9846, reader_cost=0.0002 | ETA 06:41:12 2020-12-17 03:02:47 [INFO] [TRAIN] epoch=24, iter=15560/40000, loss=0.2504, lr=0.006419, batch_cost=0.9490, reader_cost=0.0014 | ETA 06:26:32 2020-12-17 03:02:57 [INFO] [TRAIN] epoch=24, iter=15570/40000, loss=0.2862, lr=0.006416, batch_cost=0.9080, reader_cost=0.0001 | ETA 06:09:41 2020-12-17 03:03:06 [INFO] [TRAIN] epoch=24, iter=15580/40000, loss=0.3210, lr=0.006414, batch_cost=0.9249, reader_cost=0.0002 | ETA 06:16:24 2020-12-17 03:03:15 [INFO] [TRAIN] epoch=24, iter=15590/40000, loss=0.4204, lr=0.006412, batch_cost=0.8906, reader_cost=0.0002 | ETA 06:02:19 2020-12-17 03:03:24 [INFO] [TRAIN] epoch=24, iter=15600/40000, loss=0.2815, lr=0.006409, batch_cost=0.8888, reader_cost=0.0002 | ETA 06:01:26 2020-12-17 03:03:32 [INFO] [TRAIN] epoch=24, iter=15610/40000, loss=0.2617, lr=0.006407, batch_cost=0.8298, reader_cost=0.0002 | ETA 05:37:17 2020-12-17 03:03:41 [INFO] [TRAIN] epoch=24, iter=15620/40000, loss=0.3646, lr=0.006405, batch_cost=0.9225, reader_cost=0.0002 | ETA 06:14:50 2020-12-17 03:03:51 [INFO] [TRAIN] epoch=24, iter=15630/40000, loss=0.3185, lr=0.006402, batch_cost=1.0347, reader_cost=0.0011 | ETA 07:00:15 2020-12-17 03:04:01 [INFO] [TRAIN] epoch=24, iter=15640/40000, loss=0.3123, lr=0.006400, batch_cost=0.9844, reader_cost=0.0003 | ETA 06:39:40 2020-12-17 03:04:11 [INFO] [TRAIN] epoch=24, iter=15650/40000, loss=0.2922, lr=0.006398, batch_cost=0.9626, reader_cost=0.0001 | ETA 06:30:38 2020-12-17 03:04:22 [INFO] [TRAIN] epoch=24, iter=15660/40000, loss=0.3532, lr=0.006395, batch_cost=1.0860, reader_cost=0.0001 | ETA 07:20:33 2020-12-17 03:04:32 [INFO] [TRAIN] epoch=24, iter=15670/40000, loss=0.2815, lr=0.006393, batch_cost=0.9911, reader_cost=0.0002 | ETA 06:41:52 2020-12-17 03:04:42 [INFO] [TRAIN] epoch=24, iter=15680/40000, loss=0.3806, lr=0.006390, batch_cost=1.0769, reader_cost=0.0002 | ETA 07:16:30 2020-12-17 03:04:52 [INFO] [TRAIN] epoch=24, iter=15690/40000, loss=0.3037, lr=0.006388, batch_cost=0.9773, reader_cost=0.0002 | ETA 06:35:58 2020-12-17 03:05:02 [INFO] [TRAIN] epoch=24, iter=15700/40000, loss=0.4485, lr=0.006386, batch_cost=0.9586, reader_cost=0.0002 | ETA 06:28:13 2020-12-17 03:05:10 [INFO] [TRAIN] epoch=24, iter=15710/40000, loss=0.4173, lr=0.006383, batch_cost=0.8217, reader_cost=0.0014 | ETA 05:32:39 2020-12-17 03:05:20 [INFO] [TRAIN] epoch=24, iter=15720/40000, loss=0.2629, lr=0.006381, batch_cost=0.9526, reader_cost=0.0014 | ETA 06:25:29 2020-12-17 03:05:29 [INFO] [TRAIN] epoch=24, iter=15730/40000, loss=0.3186, lr=0.006379, batch_cost=0.9635, reader_cost=0.0002 | ETA 06:29:45 2020-12-17 03:05:38 [INFO] [TRAIN] epoch=24, iter=15740/40000, loss=0.2357, lr=0.006376, batch_cost=0.8778, reader_cost=0.0002 | ETA 05:54:55 2020-12-17 03:05:48 [INFO] [TRAIN] epoch=24, iter=15750/40000, loss=0.5128, lr=0.006374, batch_cost=0.9688, reader_cost=0.0002 | ETA 06:31:33 2020-12-17 03:05:58 [INFO] [TRAIN] epoch=24, iter=15760/40000, loss=0.3342, lr=0.006371, batch_cost=1.0372, reader_cost=0.0011 | ETA 06:59:00 2020-12-17 03:06:07 [INFO] [TRAIN] epoch=24, iter=15770/40000, loss=0.3774, lr=0.006369, batch_cost=0.9120, reader_cost=0.0001 | ETA 06:08:17 2020-12-17 03:06:17 [INFO] [TRAIN] epoch=24, iter=15780/40000, loss=0.3954, lr=0.006367, batch_cost=0.9473, reader_cost=0.0001 | ETA 06:22:22 2020-12-17 03:06:26 [INFO] [TRAIN] epoch=24, iter=15790/40000, loss=0.2428, lr=0.006364, batch_cost=0.9335, reader_cost=0.0007 | ETA 06:16:39 2020-12-17 03:06:35 [INFO] [TRAIN] epoch=24, iter=15800/40000, loss=0.3137, lr=0.006362, batch_cost=0.9179, reader_cost=0.0001 | ETA 06:10:12 2020-12-17 03:06:45 [INFO] [TRAIN] epoch=24, iter=15810/40000, loss=0.2140, lr=0.006360, batch_cost=1.0015, reader_cost=0.0002 | ETA 06:43:45 2020-12-17 03:06:54 [INFO] [TRAIN] epoch=24, iter=15820/40000, loss=0.2198, lr=0.006357, batch_cost=0.8625, reader_cost=0.0001 | ETA 05:47:34 2020-12-17 03:07:03 [INFO] [TRAIN] epoch=24, iter=15830/40000, loss=0.3209, lr=0.006355, batch_cost=0.9219, reader_cost=0.0002 | ETA 06:11:23 2020-12-17 03:07:13 [INFO] [TRAIN] epoch=24, iter=15840/40000, loss=0.5789, lr=0.006353, batch_cost=1.0037, reader_cost=0.0025 | ETA 06:44:09 2020-12-17 03:07:21 [INFO] [TRAIN] epoch=24, iter=15850/40000, loss=0.2973, lr=0.006350, batch_cost=0.8448, reader_cost=0.0001 | ETA 05:40:01 2020-12-17 03:07:30 [INFO] [TRAIN] epoch=24, iter=15860/40000, loss=0.3424, lr=0.006348, batch_cost=0.8178, reader_cost=0.0001 | ETA 05:29:02 2020-12-17 03:07:37 [INFO] [TRAIN] epoch=25, iter=15870/40000, loss=0.3576, lr=0.006345, batch_cost=0.7046, reader_cost=0.0215 | ETA 04:43:21 2020-12-17 03:07:44 [INFO] [TRAIN] epoch=25, iter=15880/40000, loss=0.3192, lr=0.006343, batch_cost=0.7316, reader_cost=0.0001 | ETA 04:54:05 2020-12-17 03:07:53 [INFO] [TRAIN] epoch=25, iter=15890/40000, loss=0.3599, lr=0.006341, batch_cost=0.8658, reader_cost=0.0001 | ETA 05:47:54 2020-12-17 03:08:02 [INFO] [TRAIN] epoch=25, iter=15900/40000, loss=0.3211, lr=0.006338, batch_cost=0.9256, reader_cost=0.0001 | ETA 06:11:48 2020-12-17 03:08:11 [INFO] [TRAIN] epoch=25, iter=15910/40000, loss=0.3088, lr=0.006336, batch_cost=0.8961, reader_cost=0.0003 | ETA 05:59:46 2020-12-17 03:08:20 [INFO] [TRAIN] epoch=25, iter=15920/40000, loss=0.4366, lr=0.006334, batch_cost=0.8837, reader_cost=0.0012 | ETA 05:54:40 2020-12-17 03:08:30 [INFO] [TRAIN] epoch=25, iter=15930/40000, loss=0.4219, lr=0.006331, batch_cost=0.9950, reader_cost=0.0002 | ETA 06:39:08 2020-12-17 03:08:38 [INFO] [TRAIN] epoch=25, iter=15940/40000, loss=0.5391, lr=0.006329, batch_cost=0.8808, reader_cost=0.0001 | ETA 05:53:12 2020-12-17 03:08:48 [INFO] [TRAIN] epoch=25, iter=15950/40000, loss=0.2842, lr=0.006327, batch_cost=0.9255, reader_cost=0.0002 | ETA 06:10:57 2020-12-17 03:08:57 [INFO] [TRAIN] epoch=25, iter=15960/40000, loss=0.2624, lr=0.006324, batch_cost=0.9012, reader_cost=0.0001 | ETA 06:01:05 2020-12-17 03:09:06 [INFO] [TRAIN] epoch=25, iter=15970/40000, loss=0.2845, lr=0.006322, batch_cost=0.8805, reader_cost=0.0001 | ETA 05:52:39 2020-12-17 03:09:16 [INFO] [TRAIN] epoch=25, iter=15980/40000, loss=0.2383, lr=0.006319, batch_cost=0.9956, reader_cost=0.0001 | ETA 06:38:33 2020-12-17 03:09:25 [INFO] [TRAIN] epoch=25, iter=15990/40000, loss=0.4024, lr=0.006317, batch_cost=0.9804, reader_cost=0.0001 | ETA 06:32:19 2020-12-17 03:09:35 [INFO] [TRAIN] epoch=25, iter=16000/40000, loss=0.1834, lr=0.006315, batch_cost=0.9630, reader_cost=0.0001 | ETA 06:25:12 2020-12-17 03:09:35 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 03:10:24 [INFO] [EVAL] #Images=1449 mIoU=0.7341 Acc=0.9389 Kappa=0.8645 2020-12-17 03:10:24 [INFO] [EVAL] Class IoU: [0.9367 0.9054 0.4287 0.8266 0.6744 0.7946 0.8746 0.7979 0.8228 0.3573 0.8377 0.5618 0.7339 0.7883 0.8068 0.8513 0.6079 0.8249 0.5079 0.7663 0.7102] 2020-12-17 03:10:24 [INFO] [EVAL] Class Acc: [0.9619 0.9615 0.4496 0.9093 0.7598 0.893 0.8982 0.8579 0.8795 0.6548 0.9648 0.8461 0.9334 0.8896 0.9153 0.9379 0.8438 0.8736 0.6715 0.9393 0.8189] 2020-12-17 03:10:32 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 03:10:42 [INFO] [TRAIN] epoch=25, iter=16010/40000, loss=0.3560, lr=0.006312, batch_cost=0.9650, reader_cost=0.0002 | ETA 06:25:49 2020-12-17 03:10:52 [INFO] [TRAIN] epoch=25, iter=16020/40000, loss=0.5449, lr=0.006310, batch_cost=0.9770, reader_cost=0.0014 | ETA 06:30:28 2020-12-17 03:11:01 [INFO] [TRAIN] epoch=25, iter=16030/40000, loss=0.1993, lr=0.006308, batch_cost=0.9291, reader_cost=0.0002 | ETA 06:11:09 2020-12-17 03:11:10 [INFO] [TRAIN] epoch=25, iter=16040/40000, loss=0.2210, lr=0.006305, batch_cost=0.8408, reader_cost=0.0002 | ETA 05:35:45 2020-12-17 03:11:20 [INFO] [TRAIN] epoch=25, iter=16050/40000, loss=0.2524, lr=0.006303, batch_cost=1.0304, reader_cost=0.0002 | ETA 06:51:17 2020-12-17 03:11:30 [INFO] [TRAIN] epoch=25, iter=16060/40000, loss=0.2374, lr=0.006300, batch_cost=1.0146, reader_cost=0.0001 | ETA 06:44:49 2020-12-17 03:11:40 [INFO] [TRAIN] epoch=25, iter=16070/40000, loss=0.4683, lr=0.006298, batch_cost=1.0250, reader_cost=0.0002 | ETA 06:48:49 2020-12-17 03:11:49 [INFO] [TRAIN] epoch=25, iter=16080/40000, loss=0.3024, lr=0.006296, batch_cost=0.8368, reader_cost=0.0002 | ETA 05:33:35 2020-12-17 03:11:58 [INFO] [TRAIN] epoch=25, iter=16090/40000, loss=0.4151, lr=0.006293, batch_cost=0.9426, reader_cost=0.0001 | ETA 06:15:38 2020-12-17 03:12:07 [INFO] [TRAIN] epoch=25, iter=16100/40000, loss=0.3361, lr=0.006291, batch_cost=0.8871, reader_cost=0.0001 | ETA 05:53:21 2020-12-17 03:12:17 [INFO] [TRAIN] epoch=25, iter=16110/40000, loss=0.4084, lr=0.006289, batch_cost=0.9790, reader_cost=0.0002 | ETA 06:29:47 2020-12-17 03:12:26 [INFO] [TRAIN] epoch=25, iter=16120/40000, loss=0.3658, lr=0.006286, batch_cost=0.9002, reader_cost=0.0001 | ETA 05:58:16 2020-12-17 03:12:33 [INFO] [TRAIN] epoch=25, iter=16130/40000, loss=0.2246, lr=0.006284, batch_cost=0.7556, reader_cost=0.0001 | ETA 05:00:35 2020-12-17 03:12:41 [INFO] [TRAIN] epoch=25, iter=16140/40000, loss=0.3665, lr=0.006282, batch_cost=0.7463, reader_cost=0.0001 | ETA 04:56:45 2020-12-17 03:12:48 [INFO] [TRAIN] epoch=25, iter=16150/40000, loss=0.3065, lr=0.006279, batch_cost=0.7307, reader_cost=0.0001 | ETA 04:50:27 2020-12-17 03:12:55 [INFO] [TRAIN] epoch=25, iter=16160/40000, loss=0.3337, lr=0.006277, batch_cost=0.7478, reader_cost=0.0001 | ETA 04:57:07 2020-12-17 03:13:03 [INFO] [TRAIN] epoch=25, iter=16170/40000, loss=0.2859, lr=0.006274, batch_cost=0.7860, reader_cost=0.0001 | ETA 05:12:10 2020-12-17 03:13:11 [INFO] [TRAIN] epoch=25, iter=16180/40000, loss=0.2620, lr=0.006272, batch_cost=0.7335, reader_cost=0.0001 | ETA 04:51:11 2020-12-17 03:13:21 [INFO] [TRAIN] epoch=25, iter=16190/40000, loss=0.2800, lr=0.006270, batch_cost=1.0068, reader_cost=0.0001 | ETA 06:39:30 2020-12-17 03:13:31 [INFO] [TRAIN] epoch=25, iter=16200/40000, loss=0.3326, lr=0.006267, batch_cost=0.9907, reader_cost=0.0001 | ETA 06:32:59 2020-12-17 03:13:42 [INFO] [TRAIN] epoch=25, iter=16210/40000, loss=0.2583, lr=0.006265, batch_cost=1.1552, reader_cost=0.0002 | ETA 07:38:01 2020-12-17 03:13:50 [INFO] [TRAIN] epoch=25, iter=16220/40000, loss=0.3489, lr=0.006263, batch_cost=0.7664, reader_cost=0.0002 | ETA 05:03:45 2020-12-17 03:13:59 [INFO] [TRAIN] epoch=25, iter=16230/40000, loss=0.2534, lr=0.006260, batch_cost=0.9200, reader_cost=0.0001 | ETA 06:04:27 2020-12-17 03:14:07 [INFO] [TRAIN] epoch=25, iter=16240/40000, loss=0.2251, lr=0.006258, batch_cost=0.8337, reader_cost=0.0001 | ETA 05:30:08 2020-12-17 03:14:15 [INFO] [TRAIN] epoch=25, iter=16250/40000, loss=0.4156, lr=0.006255, batch_cost=0.7602, reader_cost=0.0001 | ETA 05:00:53 2020-12-17 03:14:24 [INFO] [TRAIN] epoch=25, iter=16260/40000, loss=0.3369, lr=0.006253, batch_cost=0.9369, reader_cost=0.0001 | ETA 06:10:42 2020-12-17 03:14:34 [INFO] [TRAIN] epoch=25, iter=16270/40000, loss=0.3469, lr=0.006251, batch_cost=0.9473, reader_cost=0.0012 | ETA 06:14:38 2020-12-17 03:14:43 [INFO] [TRAIN] epoch=25, iter=16280/40000, loss=0.3618, lr=0.006248, batch_cost=0.8865, reader_cost=0.0014 | ETA 05:50:27 2020-12-17 03:14:52 [INFO] [TRAIN] epoch=25, iter=16290/40000, loss=0.3586, lr=0.006246, batch_cost=0.9334, reader_cost=0.0002 | ETA 06:08:50 2020-12-17 03:15:01 [INFO] [TRAIN] epoch=25, iter=16300/40000, loss=0.4784, lr=0.006244, batch_cost=0.9102, reader_cost=0.0002 | ETA 05:59:32 2020-12-17 03:15:12 [INFO] [TRAIN] epoch=25, iter=16310/40000, loss=0.2865, lr=0.006241, batch_cost=1.0791, reader_cost=0.0007 | ETA 07:06:03 2020-12-17 03:15:21 [INFO] [TRAIN] epoch=25, iter=16320/40000, loss=0.3064, lr=0.006239, batch_cost=0.9155, reader_cost=0.0006 | ETA 06:01:19 2020-12-17 03:15:31 [INFO] [TRAIN] epoch=25, iter=16330/40000, loss=0.3179, lr=0.006237, batch_cost=1.0089, reader_cost=0.0002 | ETA 06:38:01 2020-12-17 03:15:40 [INFO] [TRAIN] epoch=25, iter=16340/40000, loss=0.3029, lr=0.006234, batch_cost=0.8703, reader_cost=0.0002 | ETA 05:43:11 2020-12-17 03:15:49 [INFO] [TRAIN] epoch=25, iter=16350/40000, loss=0.2289, lr=0.006232, batch_cost=0.9405, reader_cost=0.0001 | ETA 06:10:43 2020-12-17 03:16:00 [INFO] [TRAIN] epoch=25, iter=16360/40000, loss=0.3990, lr=0.006229, batch_cost=1.0622, reader_cost=0.0014 | ETA 06:58:29 2020-12-17 03:16:09 [INFO] [TRAIN] epoch=25, iter=16370/40000, loss=0.3287, lr=0.006227, batch_cost=0.9336, reader_cost=0.0001 | ETA 06:07:41 2020-12-17 03:16:20 [INFO] [TRAIN] epoch=25, iter=16380/40000, loss=0.2171, lr=0.006225, batch_cost=1.0448, reader_cost=0.0002 | ETA 06:51:17 2020-12-17 03:16:29 [INFO] [TRAIN] epoch=25, iter=16390/40000, loss=0.5293, lr=0.006222, batch_cost=0.8877, reader_cost=0.0001 | ETA 05:49:19 2020-12-17 03:16:38 [INFO] [TRAIN] epoch=25, iter=16400/40000, loss=0.3323, lr=0.006220, batch_cost=0.9801, reader_cost=0.0002 | ETA 06:25:29 2020-12-17 03:16:47 [INFO] [TRAIN] epoch=25, iter=16410/40000, loss=0.3685, lr=0.006218, batch_cost=0.8931, reader_cost=0.0010 | ETA 05:51:08 2020-12-17 03:16:56 [INFO] [TRAIN] epoch=25, iter=16420/40000, loss=0.3625, lr=0.006215, batch_cost=0.8737, reader_cost=0.0002 | ETA 05:43:22 2020-12-17 03:17:06 [INFO] [TRAIN] epoch=25, iter=16430/40000, loss=0.4245, lr=0.006213, batch_cost=0.9598, reader_cost=0.0001 | ETA 06:17:01 2020-12-17 03:17:15 [INFO] [TRAIN] epoch=25, iter=16440/40000, loss=0.3246, lr=0.006210, batch_cost=0.9108, reader_cost=0.0014 | ETA 05:57:39 2020-12-17 03:17:24 [INFO] [TRAIN] epoch=25, iter=16450/40000, loss=0.1886, lr=0.006208, batch_cost=0.8716, reader_cost=0.0002 | ETA 05:42:06 2020-12-17 03:17:33 [INFO] [TRAIN] epoch=25, iter=16460/40000, loss=0.2353, lr=0.006206, batch_cost=0.9715, reader_cost=0.0001 | ETA 06:21:10 2020-12-17 03:17:43 [INFO] [TRAIN] epoch=25, iter=16470/40000, loss=0.3238, lr=0.006203, batch_cost=0.9473, reader_cost=0.0002 | ETA 06:11:30 2020-12-17 03:17:53 [INFO] [TRAIN] epoch=25, iter=16480/40000, loss=0.3674, lr=0.006201, batch_cost=1.0177, reader_cost=0.0002 | ETA 06:38:55 2020-12-17 03:18:01 [INFO] [TRAIN] epoch=25, iter=16490/40000, loss=0.3628, lr=0.006199, batch_cost=0.8619, reader_cost=0.0001 | ETA 05:37:43 2020-12-17 03:18:11 [INFO] [TRAIN] epoch=25, iter=16500/40000, loss=0.3518, lr=0.006196, batch_cost=0.9020, reader_cost=0.0001 | ETA 05:53:17 2020-12-17 03:18:19 [INFO] [TRAIN] epoch=25, iter=16510/40000, loss=0.2785, lr=0.006194, batch_cost=0.8818, reader_cost=0.0014 | ETA 05:45:12 2020-12-17 03:18:28 [INFO] [TRAIN] epoch=25, iter=16520/40000, loss=0.3732, lr=0.006191, batch_cost=0.8595, reader_cost=0.0014 | ETA 05:36:20 2020-12-17 03:18:39 [INFO] [TRAIN] epoch=26, iter=16530/40000, loss=0.3795, lr=0.006189, batch_cost=1.0750, reader_cost=0.0307 | ETA 07:00:30 2020-12-17 03:18:48 [INFO] [TRAIN] epoch=26, iter=16540/40000, loss=0.6629, lr=0.006187, batch_cost=0.9069, reader_cost=0.0002 | ETA 05:54:35 2020-12-17 03:18:56 [INFO] [TRAIN] epoch=26, iter=16550/40000, loss=0.2551, lr=0.006184, batch_cost=0.8594, reader_cost=0.0001 | ETA 05:35:52 2020-12-17 03:19:05 [INFO] [TRAIN] epoch=26, iter=16560/40000, loss=0.3378, lr=0.006182, batch_cost=0.8477, reader_cost=0.0002 | ETA 05:31:10 2020-12-17 03:19:14 [INFO] [TRAIN] epoch=26, iter=16570/40000, loss=0.2738, lr=0.006180, batch_cost=0.8790, reader_cost=0.0001 | ETA 05:43:14 2020-12-17 03:19:23 [INFO] [TRAIN] epoch=26, iter=16580/40000, loss=0.2852, lr=0.006177, batch_cost=0.9337, reader_cost=0.0001 | ETA 06:04:28 2020-12-17 03:19:33 [INFO] [TRAIN] epoch=26, iter=16590/40000, loss=0.3258, lr=0.006175, batch_cost=1.0188, reader_cost=0.0001 | ETA 06:37:29 2020-12-17 03:19:43 [INFO] [TRAIN] epoch=26, iter=16600/40000, loss=0.3878, lr=0.006172, batch_cost=0.9474, reader_cost=0.0015 | ETA 06:09:28 2020-12-17 03:19:51 [INFO] [TRAIN] epoch=26, iter=16610/40000, loss=0.2763, lr=0.006170, batch_cost=0.8386, reader_cost=0.0001 | ETA 05:26:54 2020-12-17 03:19:59 [INFO] [TRAIN] epoch=26, iter=16620/40000, loss=0.3936, lr=0.006168, batch_cost=0.8085, reader_cost=0.0001 | ETA 05:15:03 2020-12-17 03:20:06 [INFO] [TRAIN] epoch=26, iter=16630/40000, loss=0.2732, lr=0.006165, batch_cost=0.7331, reader_cost=0.0001 | ETA 04:45:31 2020-12-17 03:20:14 [INFO] [TRAIN] epoch=26, iter=16640/40000, loss=0.2851, lr=0.006163, batch_cost=0.7639, reader_cost=0.0002 | ETA 04:57:23 2020-12-17 03:20:23 [INFO] [TRAIN] epoch=26, iter=16650/40000, loss=0.2929, lr=0.006161, batch_cost=0.9216, reader_cost=0.0001 | ETA 05:58:38 2020-12-17 03:20:33 [INFO] [TRAIN] epoch=26, iter=16660/40000, loss=0.4332, lr=0.006158, batch_cost=0.9374, reader_cost=0.0001 | ETA 06:04:37 2020-12-17 03:20:42 [INFO] [TRAIN] epoch=26, iter=16670/40000, loss=0.3159, lr=0.006156, batch_cost=0.9545, reader_cost=0.0001 | ETA 06:11:08 2020-12-17 03:20:51 [INFO] [TRAIN] epoch=26, iter=16680/40000, loss=0.4148, lr=0.006153, batch_cost=0.8752, reader_cost=0.0001 | ETA 05:40:09 2020-12-17 03:20:59 [INFO] [TRAIN] epoch=26, iter=16690/40000, loss=0.5350, lr=0.006151, batch_cost=0.8324, reader_cost=0.0002 | ETA 05:23:24 2020-12-17 03:21:09 [INFO] [TRAIN] epoch=26, iter=16700/40000, loss=0.2554, lr=0.006149, batch_cost=0.9799, reader_cost=0.0002 | ETA 06:20:31 2020-12-17 03:21:18 [INFO] [TRAIN] epoch=26, iter=16710/40000, loss=0.2482, lr=0.006146, batch_cost=0.8877, reader_cost=0.0002 | ETA 05:44:34 2020-12-17 03:21:28 [INFO] [TRAIN] epoch=26, iter=16720/40000, loss=0.3063, lr=0.006144, batch_cost=0.9881, reader_cost=0.0002 | ETA 06:23:23 2020-12-17 03:21:38 [INFO] [TRAIN] epoch=26, iter=16730/40000, loss=0.2749, lr=0.006142, batch_cost=1.0059, reader_cost=0.0014 | ETA 06:30:06 2020-12-17 03:21:48 [INFO] [TRAIN] epoch=26, iter=16740/40000, loss=0.2323, lr=0.006139, batch_cost=0.9656, reader_cost=0.0001 | ETA 06:14:19 2020-12-17 03:21:57 [INFO] [TRAIN] epoch=26, iter=16750/40000, loss=0.3817, lr=0.006137, batch_cost=0.9509, reader_cost=0.0002 | ETA 06:08:28 2020-12-17 03:22:08 [INFO] [TRAIN] epoch=26, iter=16760/40000, loss=0.3899, lr=0.006134, batch_cost=1.0523, reader_cost=0.0001 | ETA 06:47:34 2020-12-17 03:22:16 [INFO] [TRAIN] epoch=26, iter=16770/40000, loss=0.3009, lr=0.006132, batch_cost=0.8860, reader_cost=0.0002 | ETA 05:43:02 2020-12-17 03:22:26 [INFO] [TRAIN] epoch=26, iter=16780/40000, loss=0.3033, lr=0.006130, batch_cost=0.9183, reader_cost=0.0002 | ETA 05:55:22 2020-12-17 03:22:35 [INFO] [TRAIN] epoch=26, iter=16790/40000, loss=0.2246, lr=0.006127, batch_cost=0.9159, reader_cost=0.0001 | ETA 05:54:16 2020-12-17 03:22:46 [INFO] [TRAIN] epoch=26, iter=16800/40000, loss=0.2508, lr=0.006125, batch_cost=1.0964, reader_cost=0.0001 | ETA 07:03:57 2020-12-17 03:22:55 [INFO] [TRAIN] epoch=26, iter=16810/40000, loss=0.2806, lr=0.006123, batch_cost=0.9613, reader_cost=0.0001 | ETA 06:11:33 2020-12-17 03:23:04 [INFO] [TRAIN] epoch=26, iter=16820/40000, loss=0.2952, lr=0.006120, batch_cost=0.9097, reader_cost=0.0002 | ETA 05:51:27 2020-12-17 03:23:13 [INFO] [TRAIN] epoch=26, iter=16830/40000, loss=0.3896, lr=0.006118, batch_cost=0.8936, reader_cost=0.0003 | ETA 05:45:05 2020-12-17 03:23:23 [INFO] [TRAIN] epoch=26, iter=16840/40000, loss=0.3443, lr=0.006115, batch_cost=0.9439, reader_cost=0.0003 | ETA 06:04:21 2020-12-17 03:23:32 [INFO] [TRAIN] epoch=26, iter=16850/40000, loss=0.3335, lr=0.006113, batch_cost=0.8678, reader_cost=0.0014 | ETA 05:34:49 2020-12-17 03:23:40 [INFO] [TRAIN] epoch=26, iter=16860/40000, loss=0.3203, lr=0.006111, batch_cost=0.8717, reader_cost=0.0002 | ETA 05:36:12 2020-12-17 03:23:50 [INFO] [TRAIN] epoch=26, iter=16870/40000, loss=0.3059, lr=0.006108, batch_cost=0.9622, reader_cost=0.0001 | ETA 06:10:54 2020-12-17 03:23:59 [INFO] [TRAIN] epoch=26, iter=16880/40000, loss=0.2407, lr=0.006106, batch_cost=0.9265, reader_cost=0.0001 | ETA 05:57:00 2020-12-17 03:24:08 [INFO] [TRAIN] epoch=26, iter=16890/40000, loss=0.2885, lr=0.006104, batch_cost=0.9322, reader_cost=0.0001 | ETA 05:59:03 2020-12-17 03:24:18 [INFO] [TRAIN] epoch=26, iter=16900/40000, loss=0.1869, lr=0.006101, batch_cost=1.0004, reader_cost=0.0002 | ETA 06:25:09 2020-12-17 03:24:27 [INFO] [TRAIN] epoch=26, iter=16910/40000, loss=0.2198, lr=0.006099, batch_cost=0.8870, reader_cost=0.0014 | ETA 05:41:21 2020-12-17 03:24:36 [INFO] [TRAIN] epoch=26, iter=16920/40000, loss=0.2620, lr=0.006096, batch_cost=0.9155, reader_cost=0.0001 | ETA 05:52:09 2020-12-17 03:24:47 [INFO] [TRAIN] epoch=26, iter=16930/40000, loss=0.3369, lr=0.006094, batch_cost=1.0155, reader_cost=0.0002 | ETA 06:30:28 2020-12-17 03:24:57 [INFO] [TRAIN] epoch=26, iter=16940/40000, loss=0.2796, lr=0.006092, batch_cost=1.0236, reader_cost=0.0002 | ETA 06:33:24 2020-12-17 03:25:05 [INFO] [TRAIN] epoch=26, iter=16950/40000, loss=0.2551, lr=0.006089, batch_cost=0.8373, reader_cost=0.0002 | ETA 05:21:39 2020-12-17 03:25:14 [INFO] [TRAIN] epoch=26, iter=16960/40000, loss=0.4550, lr=0.006087, batch_cost=0.8509, reader_cost=0.0004 | ETA 05:26:44 2020-12-17 03:25:23 [INFO] [TRAIN] epoch=26, iter=16970/40000, loss=0.2777, lr=0.006085, batch_cost=0.9305, reader_cost=0.0001 | ETA 05:57:09 2020-12-17 03:25:31 [INFO] [TRAIN] epoch=26, iter=16980/40000, loss=0.3208, lr=0.006082, batch_cost=0.8318, reader_cost=0.0001 | ETA 05:19:07 2020-12-17 03:25:40 [INFO] [TRAIN] epoch=26, iter=16990/40000, loss=0.2639, lr=0.006080, batch_cost=0.8467, reader_cost=0.0001 | ETA 05:24:41 2020-12-17 03:25:48 [INFO] [TRAIN] epoch=26, iter=17000/40000, loss=0.4077, lr=0.006077, batch_cost=0.8058, reader_cost=0.0001 | ETA 05:08:52 2020-12-17 03:25:48 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 03:26:24 [INFO] [EVAL] #Images=1449 mIoU=0.7300 Acc=0.9387 Kappa=0.8657 2020-12-17 03:26:24 [INFO] [EVAL] Class IoU: [0.9346 0.8059 0.4019 0.8651 0.6719 0.5825 0.897 0.8171 0.8736 0.3691 0.8038 0.5712 0.8396 0.7687 0.7936 0.8498 0.5387 0.8102 0.5415 0.8562 0.7387] 2020-12-17 03:26:24 [INFO] [EVAL] Class Acc: [0.966 0.8277 0.4175 0.9422 0.733 0.9654 0.9652 0.8983 0.9483 0.5741 0.9032 0.9011 0.9302 0.8098 0.8463 0.9353 0.5757 0.89 0.6786 0.9233 0.9131] 2020-12-17 03:26:33 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 03:26:41 [INFO] [TRAIN] epoch=26, iter=17010/40000, loss=0.2249, lr=0.006075, batch_cost=0.8651, reader_cost=0.0002 | ETA 05:31:29 2020-12-17 03:26:49 [INFO] [TRAIN] epoch=26, iter=17020/40000, loss=0.2043, lr=0.006073, batch_cost=0.8210, reader_cost=0.0002 | ETA 05:14:27 2020-12-17 03:26:59 [INFO] [TRAIN] epoch=26, iter=17030/40000, loss=0.2801, lr=0.006070, batch_cost=0.9249, reader_cost=0.0014 | ETA 05:54:05 2020-12-17 03:27:08 [INFO] [TRAIN] epoch=26, iter=17040/40000, loss=0.2020, lr=0.006068, batch_cost=0.9295, reader_cost=0.0001 | ETA 05:55:41 2020-12-17 03:27:18 [INFO] [TRAIN] epoch=26, iter=17050/40000, loss=0.3074, lr=0.006066, batch_cost=0.9752, reader_cost=0.0002 | ETA 06:12:59 2020-12-17 03:27:27 [INFO] [TRAIN] epoch=26, iter=17060/40000, loss=0.4745, lr=0.006063, batch_cost=0.8802, reader_cost=0.0001 | ETA 05:36:31 2020-12-17 03:27:36 [INFO] [TRAIN] epoch=26, iter=17070/40000, loss=0.2617, lr=0.006061, batch_cost=0.9186, reader_cost=0.0001 | ETA 05:51:04 2020-12-17 03:27:45 [INFO] [TRAIN] epoch=26, iter=17080/40000, loss=0.3311, lr=0.006058, batch_cost=0.9112, reader_cost=0.0001 | ETA 05:48:03 2020-12-17 03:27:55 [INFO] [TRAIN] epoch=26, iter=17090/40000, loss=0.2537, lr=0.006056, batch_cost=1.0039, reader_cost=0.0002 | ETA 06:23:18 2020-12-17 03:28:05 [INFO] [TRAIN] epoch=26, iter=17100/40000, loss=0.3419, lr=0.006054, batch_cost=0.9957, reader_cost=0.0002 | ETA 06:20:00 2020-12-17 03:28:14 [INFO] [TRAIN] epoch=26, iter=17110/40000, loss=0.2421, lr=0.006051, batch_cost=0.9219, reader_cost=0.0002 | ETA 05:51:42 2020-12-17 03:28:24 [INFO] [TRAIN] epoch=26, iter=17120/40000, loss=0.3760, lr=0.006049, batch_cost=0.9639, reader_cost=0.0002 | ETA 06:07:32 2020-12-17 03:28:33 [INFO] [TRAIN] epoch=26, iter=17130/40000, loss=0.4072, lr=0.006046, batch_cost=0.9764, reader_cost=0.0001 | ETA 06:12:10 2020-12-17 03:28:43 [INFO] [TRAIN] epoch=26, iter=17140/40000, loss=0.4194, lr=0.006044, batch_cost=0.9920, reader_cost=0.0002 | ETA 06:17:57 2020-12-17 03:28:53 [INFO] [TRAIN] epoch=26, iter=17150/40000, loss=0.2619, lr=0.006042, batch_cost=0.9563, reader_cost=0.0001 | ETA 06:04:10 2020-12-17 03:29:02 [INFO] [TRAIN] epoch=26, iter=17160/40000, loss=0.3122, lr=0.006039, batch_cost=0.9193, reader_cost=0.0002 | ETA 05:49:57 2020-12-17 03:29:12 [INFO] [TRAIN] epoch=26, iter=17170/40000, loss=0.3214, lr=0.006037, batch_cost=0.9703, reader_cost=0.0001 | ETA 06:09:11 2020-12-17 03:29:22 [INFO] [TRAIN] epoch=26, iter=17180/40000, loss=0.4600, lr=0.006035, batch_cost=1.0037, reader_cost=0.0027 | ETA 06:21:43 2020-12-17 03:29:31 [INFO] [TRAIN] epoch=27, iter=17190/40000, loss=0.2345, lr=0.006032, batch_cost=0.9042, reader_cost=0.0247 | ETA 05:43:45 2020-12-17 03:29:41 [INFO] [TRAIN] epoch=27, iter=17200/40000, loss=0.2472, lr=0.006030, batch_cost=1.0040, reader_cost=0.0002 | ETA 06:21:30 2020-12-17 03:29:50 [INFO] [TRAIN] epoch=27, iter=17210/40000, loss=0.2358, lr=0.006027, batch_cost=0.9383, reader_cost=0.0001 | ETA 05:56:23 2020-12-17 03:29:59 [INFO] [TRAIN] epoch=27, iter=17220/40000, loss=0.3628, lr=0.006025, batch_cost=0.8252, reader_cost=0.0001 | ETA 05:13:17 2020-12-17 03:30:07 [INFO] [TRAIN] epoch=27, iter=17230/40000, loss=0.4060, lr=0.006023, batch_cost=0.8648, reader_cost=0.0001 | ETA 05:28:11 2020-12-17 03:30:17 [INFO] [TRAIN] epoch=27, iter=17240/40000, loss=0.4406, lr=0.006020, batch_cost=0.9427, reader_cost=0.0001 | ETA 05:57:36 2020-12-17 03:30:26 [INFO] [TRAIN] epoch=27, iter=17250/40000, loss=0.3063, lr=0.006018, batch_cost=0.9347, reader_cost=0.0001 | ETA 05:54:24 2020-12-17 03:30:34 [INFO] [TRAIN] epoch=27, iter=17260/40000, loss=0.4331, lr=0.006016, batch_cost=0.8429, reader_cost=0.0001 | ETA 05:19:28 2020-12-17 03:30:44 [INFO] [TRAIN] epoch=27, iter=17270/40000, loss=0.4014, lr=0.006013, batch_cost=0.9339, reader_cost=0.0024 | ETA 05:53:46 2020-12-17 03:30:53 [INFO] [TRAIN] epoch=27, iter=17280/40000, loss=0.2775, lr=0.006011, batch_cost=0.9002, reader_cost=0.0008 | ETA 05:40:52 2020-12-17 03:31:01 [INFO] [TRAIN] epoch=27, iter=17290/40000, loss=0.5407, lr=0.006008, batch_cost=0.8392, reader_cost=0.0002 | ETA 05:17:38 2020-12-17 03:31:11 [INFO] [TRAIN] epoch=27, iter=17300/40000, loss=0.3526, lr=0.006006, batch_cost=0.9447, reader_cost=0.0004 | ETA 05:57:24 2020-12-17 03:31:20 [INFO] [TRAIN] epoch=27, iter=17310/40000, loss=0.3609, lr=0.006004, batch_cost=0.8988, reader_cost=0.0001 | ETA 05:39:54 2020-12-17 03:31:29 [INFO] [TRAIN] epoch=27, iter=17320/40000, loss=0.2539, lr=0.006001, batch_cost=0.9620, reader_cost=0.0002 | ETA 06:03:39 2020-12-17 03:31:38 [INFO] [TRAIN] epoch=27, iter=17330/40000, loss=0.1999, lr=0.005999, batch_cost=0.8325, reader_cost=0.0013 | ETA 05:14:32 2020-12-17 03:31:47 [INFO] [TRAIN] epoch=27, iter=17340/40000, loss=0.2970, lr=0.005996, batch_cost=0.9199, reader_cost=0.0001 | ETA 05:47:25 2020-12-17 03:31:54 [INFO] [TRAIN] epoch=27, iter=17350/40000, loss=0.2841, lr=0.005994, batch_cost=0.7345, reader_cost=0.0001 | ETA 04:37:15 2020-12-17 03:32:01 [INFO] [TRAIN] epoch=27, iter=17360/40000, loss=0.3028, lr=0.005992, batch_cost=0.7021, reader_cost=0.0001 | ETA 04:24:55 2020-12-17 03:32:09 [INFO] [TRAIN] epoch=27, iter=17370/40000, loss=0.3518, lr=0.005989, batch_cost=0.8076, reader_cost=0.0001 | ETA 05:04:35 2020-12-17 03:32:18 [INFO] [TRAIN] epoch=27, iter=17380/40000, loss=0.2703, lr=0.005987, batch_cost=0.8540, reader_cost=0.0001 | ETA 05:21:57 2020-12-17 03:32:27 [INFO] [TRAIN] epoch=27, iter=17390/40000, loss=0.2192, lr=0.005985, batch_cost=0.8919, reader_cost=0.0002 | ETA 05:36:06 2020-12-17 03:32:36 [INFO] [TRAIN] epoch=27, iter=17400/40000, loss=0.4068, lr=0.005982, batch_cost=0.9809, reader_cost=0.0014 | ETA 06:09:29 2020-12-17 03:32:47 [INFO] [TRAIN] epoch=27, iter=17410/40000, loss=0.2584, lr=0.005980, batch_cost=1.0265, reader_cost=0.0002 | ETA 06:26:29 2020-12-17 03:32:56 [INFO] [TRAIN] epoch=27, iter=17420/40000, loss=0.2333, lr=0.005977, batch_cost=0.9645, reader_cost=0.0012 | ETA 06:02:58 2020-12-17 03:33:06 [INFO] [TRAIN] epoch=27, iter=17430/40000, loss=0.2777, lr=0.005975, batch_cost=0.9960, reader_cost=0.0002 | ETA 06:14:40 2020-12-17 03:33:16 [INFO] [TRAIN] epoch=27, iter=17440/40000, loss=0.2832, lr=0.005973, batch_cost=0.9169, reader_cost=0.0011 | ETA 05:44:45 2020-12-17 03:33:25 [INFO] [TRAIN] epoch=27, iter=17450/40000, loss=0.2394, lr=0.005970, batch_cost=0.9536, reader_cost=0.0002 | ETA 05:58:23 2020-12-17 03:33:35 [INFO] [TRAIN] epoch=27, iter=17460/40000, loss=0.4438, lr=0.005968, batch_cost=0.9913, reader_cost=0.0010 | ETA 06:12:23 2020-12-17 03:33:44 [INFO] [TRAIN] epoch=27, iter=17470/40000, loss=0.2271, lr=0.005966, batch_cost=0.8718, reader_cost=0.0001 | ETA 05:27:20 2020-12-17 03:33:53 [INFO] [TRAIN] epoch=27, iter=17480/40000, loss=0.3302, lr=0.005963, batch_cost=0.9446, reader_cost=0.0014 | ETA 05:54:31 2020-12-17 03:34:03 [INFO] [TRAIN] epoch=27, iter=17490/40000, loss=0.3090, lr=0.005961, batch_cost=0.9785, reader_cost=0.0002 | ETA 06:07:06 2020-12-17 03:34:13 [INFO] [TRAIN] epoch=27, iter=17500/40000, loss=0.2750, lr=0.005958, batch_cost=1.0076, reader_cost=0.0018 | ETA 06:17:50 2020-12-17 03:34:23 [INFO] [TRAIN] epoch=27, iter=17510/40000, loss=0.3958, lr=0.005956, batch_cost=0.9619, reader_cost=0.0003 | ETA 06:00:34 2020-12-17 03:34:32 [INFO] [TRAIN] epoch=27, iter=17520/40000, loss=0.3817, lr=0.005954, batch_cost=0.9439, reader_cost=0.0001 | ETA 05:53:39 2020-12-17 03:34:42 [INFO] [TRAIN] epoch=27, iter=17530/40000, loss=0.3312, lr=0.005951, batch_cost=1.0147, reader_cost=0.0002 | ETA 06:19:59 2020-12-17 03:34:54 [INFO] [TRAIN] epoch=27, iter=17540/40000, loss=0.3070, lr=0.005949, batch_cost=1.1348, reader_cost=0.0002 | ETA 07:04:47 2020-12-17 03:35:03 [INFO] [TRAIN] epoch=27, iter=17550/40000, loss=0.2998, lr=0.005946, batch_cost=0.9366, reader_cost=0.0010 | ETA 05:50:27 2020-12-17 03:35:12 [INFO] [TRAIN] epoch=27, iter=17560/40000, loss=0.1809, lr=0.005944, batch_cost=0.8942, reader_cost=0.0002 | ETA 05:34:25 2020-12-17 03:35:20 [INFO] [TRAIN] epoch=27, iter=17570/40000, loss=0.3981, lr=0.005942, batch_cost=0.8381, reader_cost=0.0002 | ETA 05:13:18 2020-12-17 03:35:29 [INFO] [TRAIN] epoch=27, iter=17580/40000, loss=0.3529, lr=0.005939, batch_cost=0.8366, reader_cost=0.0014 | ETA 05:12:36 2020-12-17 03:35:38 [INFO] [TRAIN] epoch=27, iter=17590/40000, loss=0.3078, lr=0.005937, batch_cost=0.9504, reader_cost=0.0006 | ETA 05:54:58 2020-12-17 03:35:48 [INFO] [TRAIN] epoch=27, iter=17600/40000, loss=0.2219, lr=0.005935, batch_cost=1.0203, reader_cost=0.0002 | ETA 06:20:55 2020-12-17 03:35:58 [INFO] [TRAIN] epoch=27, iter=17610/40000, loss=0.4153, lr=0.005932, batch_cost=0.9872, reader_cost=0.0014 | ETA 06:08:24 2020-12-17 03:36:07 [INFO] [TRAIN] epoch=27, iter=17620/40000, loss=0.3431, lr=0.005930, batch_cost=0.8851, reader_cost=0.0002 | ETA 05:30:09 2020-12-17 03:36:16 [INFO] [TRAIN] epoch=27, iter=17630/40000, loss=0.4304, lr=0.005927, batch_cost=0.8777, reader_cost=0.0002 | ETA 05:27:13 2020-12-17 03:36:25 [INFO] [TRAIN] epoch=27, iter=17640/40000, loss=0.3017, lr=0.005925, batch_cost=0.9551, reader_cost=0.0001 | ETA 05:55:55 2020-12-17 03:36:35 [INFO] [TRAIN] epoch=27, iter=17650/40000, loss=0.3045, lr=0.005923, batch_cost=0.9609, reader_cost=0.0002 | ETA 05:57:56 2020-12-17 03:36:44 [INFO] [TRAIN] epoch=27, iter=17660/40000, loss=0.2255, lr=0.005920, batch_cost=0.9130, reader_cost=0.0002 | ETA 05:39:57 2020-12-17 03:36:53 [INFO] [TRAIN] epoch=27, iter=17670/40000, loss=0.4750, lr=0.005918, batch_cost=0.8925, reader_cost=0.0002 | ETA 05:32:09 2020-12-17 03:37:02 [INFO] [TRAIN] epoch=27, iter=17680/40000, loss=0.3384, lr=0.005915, batch_cost=0.8689, reader_cost=0.0007 | ETA 05:23:12 2020-12-17 03:37:11 [INFO] [TRAIN] epoch=27, iter=17690/40000, loss=0.2525, lr=0.005913, batch_cost=0.9653, reader_cost=0.0001 | ETA 05:58:55 2020-12-17 03:37:20 [INFO] [TRAIN] epoch=27, iter=17700/40000, loss=0.3745, lr=0.005911, batch_cost=0.9078, reader_cost=0.0002 | ETA 05:37:24 2020-12-17 03:37:28 [INFO] [TRAIN] epoch=27, iter=17710/40000, loss=0.3083, lr=0.005908, batch_cost=0.7629, reader_cost=0.0001 | ETA 04:43:23 2020-12-17 03:37:36 [INFO] [TRAIN] epoch=27, iter=17720/40000, loss=0.3579, lr=0.005906, batch_cost=0.8105, reader_cost=0.0001 | ETA 05:00:58 2020-12-17 03:37:43 [INFO] [TRAIN] epoch=27, iter=17730/40000, loss=0.3241, lr=0.005904, batch_cost=0.7228, reader_cost=0.0002 | ETA 04:28:17 2020-12-17 03:37:50 [INFO] [TRAIN] epoch=27, iter=17740/40000, loss=0.3821, lr=0.005901, batch_cost=0.7054, reader_cost=0.0001 | ETA 04:21:42 2020-12-17 03:38:00 [INFO] [TRAIN] epoch=27, iter=17750/40000, loss=0.3866, lr=0.005899, batch_cost=0.9067, reader_cost=0.0010 | ETA 05:36:15 2020-12-17 03:38:08 [INFO] [TRAIN] epoch=27, iter=17760/40000, loss=0.3606, lr=0.005896, batch_cost=0.8760, reader_cost=0.0002 | ETA 05:24:43 2020-12-17 03:38:17 [INFO] [TRAIN] epoch=27, iter=17770/40000, loss=0.3547, lr=0.005894, batch_cost=0.9081, reader_cost=0.0001 | ETA 05:36:27 2020-12-17 03:38:27 [INFO] [TRAIN] epoch=27, iter=17780/40000, loss=0.2412, lr=0.005892, batch_cost=0.9470, reader_cost=0.0002 | ETA 05:50:42 2020-12-17 03:38:36 [INFO] [TRAIN] epoch=27, iter=17790/40000, loss=0.4064, lr=0.005889, batch_cost=0.8885, reader_cost=0.0002 | ETA 05:28:54 2020-12-17 03:38:46 [INFO] [TRAIN] epoch=27, iter=17800/40000, loss=0.4998, lr=0.005887, batch_cost=0.9855, reader_cost=0.0002 | ETA 06:04:38 2020-12-17 03:38:55 [INFO] [TRAIN] epoch=27, iter=17810/40000, loss=0.3441, lr=0.005884, batch_cost=0.9806, reader_cost=0.0002 | ETA 06:02:39 2020-12-17 03:39:05 [INFO] [TRAIN] epoch=27, iter=17820/40000, loss=0.2717, lr=0.005882, batch_cost=0.9134, reader_cost=0.0002 | ETA 05:37:38 2020-12-17 03:39:15 [INFO] [TRAIN] epoch=27, iter=17830/40000, loss=0.4201, lr=0.005880, batch_cost=1.0573, reader_cost=0.0002 | ETA 06:30:39 2020-12-17 03:39:25 [INFO] [TRAIN] epoch=27, iter=17840/40000, loss=0.2578, lr=0.005877, batch_cost=0.9688, reader_cost=0.0002 | ETA 05:57:49 2020-12-17 03:39:35 [INFO] [TRAIN] epoch=28, iter=17850/40000, loss=0.3270, lr=0.005875, batch_cost=1.0415, reader_cost=0.0359 | ETA 06:24:29 2020-12-17 03:39:45 [INFO] [TRAIN] epoch=28, iter=17860/40000, loss=0.3729, lr=0.005873, batch_cost=0.9323, reader_cost=0.0016 | ETA 05:44:00 2020-12-17 03:39:54 [INFO] [TRAIN] epoch=28, iter=17870/40000, loss=0.2870, lr=0.005870, batch_cost=0.9463, reader_cost=0.0002 | ETA 05:49:01 2020-12-17 03:40:02 [INFO] [TRAIN] epoch=28, iter=17880/40000, loss=0.3624, lr=0.005868, batch_cost=0.8278, reader_cost=0.0001 | ETA 05:05:11 2020-12-17 03:40:12 [INFO] [TRAIN] epoch=28, iter=17890/40000, loss=0.2612, lr=0.005865, batch_cost=0.9936, reader_cost=0.0002 | ETA 06:06:09 2020-12-17 03:40:22 [INFO] [TRAIN] epoch=28, iter=17900/40000, loss=0.3275, lr=0.005863, batch_cost=0.9440, reader_cost=0.0002 | ETA 05:47:41 2020-12-17 03:40:30 [INFO] [TRAIN] epoch=28, iter=17910/40000, loss=0.2388, lr=0.005861, batch_cost=0.8825, reader_cost=0.0001 | ETA 05:24:53 2020-12-17 03:40:40 [INFO] [TRAIN] epoch=28, iter=17920/40000, loss=0.3722, lr=0.005858, batch_cost=0.9583, reader_cost=0.0001 | ETA 05:52:39 2020-12-17 03:40:49 [INFO] [TRAIN] epoch=28, iter=17930/40000, loss=0.3232, lr=0.005856, batch_cost=0.9217, reader_cost=0.0001 | ETA 05:39:01 2020-12-17 03:41:01 [INFO] [TRAIN] epoch=28, iter=17940/40000, loss=0.3905, lr=0.005853, batch_cost=1.1927, reader_cost=0.0002 | ETA 07:18:29 2020-12-17 03:41:12 [INFO] [TRAIN] epoch=28, iter=17950/40000, loss=0.2872, lr=0.005851, batch_cost=1.0464, reader_cost=0.0001 | ETA 06:24:32 2020-12-17 03:41:21 [INFO] [TRAIN] epoch=28, iter=17960/40000, loss=0.4232, lr=0.005849, batch_cost=0.9367, reader_cost=0.0008 | ETA 05:44:04 2020-12-17 03:41:30 [INFO] [TRAIN] epoch=28, iter=17970/40000, loss=0.2861, lr=0.005846, batch_cost=0.8664, reader_cost=0.0002 | ETA 05:18:06 2020-12-17 03:41:39 [INFO] [TRAIN] epoch=28, iter=17980/40000, loss=0.2989, lr=0.005844, batch_cost=0.9358, reader_cost=0.0002 | ETA 05:43:25 2020-12-17 03:41:49 [INFO] [TRAIN] epoch=28, iter=17990/40000, loss=0.4163, lr=0.005841, batch_cost=0.9566, reader_cost=0.0002 | ETA 05:50:54 2020-12-17 03:41:58 [INFO] [TRAIN] epoch=28, iter=18000/40000, loss=0.3033, lr=0.005839, batch_cost=0.9252, reader_cost=0.0001 | ETA 05:39:15 2020-12-17 03:41:58 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 03:42:47 [INFO] [EVAL] #Images=1449 mIoU=0.7287 Acc=0.9358 Kappa=0.8585 2020-12-17 03:42:47 [INFO] [EVAL] Class IoU: [0.9302 0.8838 0.3726 0.8017 0.6235 0.6077 0.9375 0.8586 0.8805 0.3932 0.8418 0.5794 0.7804 0.8326 0.856 0.8188 0.5494 0.7759 0.5072 0.7387 0.7328] 2020-12-17 03:42:47 [INFO] [EVAL] Class Acc: [0.9614 0.9272 0.3796 0.9602 0.7329 0.8654 0.9759 0.9468 0.9182 0.6033 0.9251 0.7452 0.9353 0.8923 0.8938 0.8797 0.7351 0.8882 0.6862 0.9611 0.9671] 2020-12-17 03:42:54 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 03:43:03 [INFO] [TRAIN] epoch=28, iter=18010/40000, loss=0.2622, lr=0.005837, batch_cost=0.8590, reader_cost=0.0002 | ETA 05:14:48 2020-12-17 03:43:12 [INFO] [TRAIN] epoch=28, iter=18020/40000, loss=0.2894, lr=0.005834, batch_cost=0.8817, reader_cost=0.0001 | ETA 05:22:59 2020-12-17 03:43:20 [INFO] [TRAIN] epoch=28, iter=18030/40000, loss=0.2548, lr=0.005832, batch_cost=0.8929, reader_cost=0.0001 | ETA 05:26:57 2020-12-17 03:43:28 [INFO] [TRAIN] epoch=28, iter=18040/40000, loss=0.2171, lr=0.005830, batch_cost=0.7579, reader_cost=0.0001 | ETA 04:37:24 2020-12-17 03:43:38 [INFO] [TRAIN] epoch=28, iter=18050/40000, loss=0.1989, lr=0.005827, batch_cost=0.9573, reader_cost=0.0001 | ETA 05:50:13 2020-12-17 03:43:50 [INFO] [TRAIN] epoch=28, iter=18060/40000, loss=0.2993, lr=0.005825, batch_cost=1.2752, reader_cost=0.0012 | ETA 07:46:16 2020-12-17 03:43:59 [INFO] [TRAIN] epoch=28, iter=18070/40000, loss=0.3711, lr=0.005822, batch_cost=0.8957, reader_cost=0.0002 | ETA 05:27:23 2020-12-17 03:44:10 [INFO] [TRAIN] epoch=28, iter=18080/40000, loss=0.3276, lr=0.005820, batch_cost=1.0408, reader_cost=0.0002 | ETA 06:20:14 2020-12-17 03:44:20 [INFO] [TRAIN] epoch=28, iter=18090/40000, loss=0.2882, lr=0.005818, batch_cost=0.9948, reader_cost=0.0002 | ETA 06:03:16 2020-12-17 03:44:28 [INFO] [TRAIN] epoch=28, iter=18100/40000, loss=0.2756, lr=0.005815, batch_cost=0.8610, reader_cost=0.0002 | ETA 05:14:16 2020-12-17 03:44:38 [INFO] [TRAIN] epoch=28, iter=18110/40000, loss=0.3658, lr=0.005813, batch_cost=0.9770, reader_cost=0.0001 | ETA 05:56:26 2020-12-17 03:44:47 [INFO] [TRAIN] epoch=28, iter=18120/40000, loss=0.3512, lr=0.005810, batch_cost=0.9224, reader_cost=0.0001 | ETA 05:36:22 2020-12-17 03:44:56 [INFO] [TRAIN] epoch=28, iter=18130/40000, loss=0.3728, lr=0.005808, batch_cost=0.8662, reader_cost=0.0001 | ETA 05:15:44 2020-12-17 03:45:05 [INFO] [TRAIN] epoch=28, iter=18140/40000, loss=0.3688, lr=0.005806, batch_cost=0.8923, reader_cost=0.0002 | ETA 05:25:05 2020-12-17 03:45:13 [INFO] [TRAIN] epoch=28, iter=18150/40000, loss=0.2405, lr=0.005803, batch_cost=0.8539, reader_cost=0.0001 | ETA 05:10:57 2020-12-17 03:45:21 [INFO] [TRAIN] epoch=28, iter=18160/40000, loss=0.2075, lr=0.005801, batch_cost=0.8012, reader_cost=0.0001 | ETA 04:51:39 2020-12-17 03:45:29 [INFO] [TRAIN] epoch=28, iter=18170/40000, loss=0.2437, lr=0.005798, batch_cost=0.7680, reader_cost=0.0001 | ETA 04:39:25 2020-12-17 03:45:37 [INFO] [TRAIN] epoch=28, iter=18180/40000, loss=0.2815, lr=0.005796, batch_cost=0.7674, reader_cost=0.0001 | ETA 04:39:04 2020-12-17 03:45:44 [INFO] [TRAIN] epoch=28, iter=18190/40000, loss=0.4119, lr=0.005794, batch_cost=0.7603, reader_cost=0.0011 | ETA 04:36:21 2020-12-17 03:45:52 [INFO] [TRAIN] epoch=28, iter=18200/40000, loss=0.2335, lr=0.005791, batch_cost=0.7608, reader_cost=0.0005 | ETA 04:36:25 2020-12-17 03:46:02 [INFO] [TRAIN] epoch=28, iter=18210/40000, loss=0.2389, lr=0.005789, batch_cost=0.9938, reader_cost=0.0006 | ETA 06:00:55 2020-12-17 03:46:13 [INFO] [TRAIN] epoch=28, iter=18220/40000, loss=0.3852, lr=0.005787, batch_cost=1.0776, reader_cost=0.0015 | ETA 06:31:09 2020-12-17 03:46:21 [INFO] [TRAIN] epoch=28, iter=18230/40000, loss=0.2047, lr=0.005784, batch_cost=0.8386, reader_cost=0.0002 | ETA 05:04:16 2020-12-17 03:46:31 [INFO] [TRAIN] epoch=28, iter=18240/40000, loss=0.2507, lr=0.005782, batch_cost=0.9593, reader_cost=0.0002 | ETA 05:47:54 2020-12-17 03:46:41 [INFO] [TRAIN] epoch=28, iter=18250/40000, loss=0.3111, lr=0.005779, batch_cost=1.0761, reader_cost=0.0002 | ETA 06:30:06 2020-12-17 03:46:50 [INFO] [TRAIN] epoch=28, iter=18260/40000, loss=0.2702, lr=0.005777, batch_cost=0.8809, reader_cost=0.0001 | ETA 05:19:10 2020-12-17 03:46:59 [INFO] [TRAIN] epoch=28, iter=18270/40000, loss=0.3104, lr=0.005775, batch_cost=0.8392, reader_cost=0.0002 | ETA 05:03:56 2020-12-17 03:47:08 [INFO] [TRAIN] epoch=28, iter=18280/40000, loss=0.3025, lr=0.005772, batch_cost=0.9027, reader_cost=0.0001 | ETA 05:26:46 2020-12-17 03:47:16 [INFO] [TRAIN] epoch=28, iter=18290/40000, loss=0.2994, lr=0.005770, batch_cost=0.8396, reader_cost=0.0025 | ETA 05:03:48 2020-12-17 03:47:26 [INFO] [TRAIN] epoch=28, iter=18300/40000, loss=0.2906, lr=0.005767, batch_cost=0.9736, reader_cost=0.0001 | ETA 05:52:06 2020-12-17 03:47:35 [INFO] [TRAIN] epoch=28, iter=18310/40000, loss=0.5531, lr=0.005765, batch_cost=0.8906, reader_cost=0.0002 | ETA 05:21:57 2020-12-17 03:47:44 [INFO] [TRAIN] epoch=28, iter=18320/40000, loss=0.2355, lr=0.005763, batch_cost=0.9358, reader_cost=0.0004 | ETA 05:38:07 2020-12-17 03:47:53 [INFO] [TRAIN] epoch=28, iter=18330/40000, loss=0.3089, lr=0.005760, batch_cost=0.8471, reader_cost=0.0002 | ETA 05:05:55 2020-12-17 03:48:02 [INFO] [TRAIN] epoch=28, iter=18340/40000, loss=0.3525, lr=0.005758, batch_cost=0.9773, reader_cost=0.0001 | ETA 05:52:48 2020-12-17 03:48:12 [INFO] [TRAIN] epoch=28, iter=18350/40000, loss=0.2286, lr=0.005755, batch_cost=0.9452, reader_cost=0.0014 | ETA 05:41:02 2020-12-17 03:48:20 [INFO] [TRAIN] epoch=28, iter=18360/40000, loss=0.3771, lr=0.005753, batch_cost=0.8460, reader_cost=0.0002 | ETA 05:05:08 2020-12-17 03:48:30 [INFO] [TRAIN] epoch=28, iter=18370/40000, loss=0.4474, lr=0.005751, batch_cost=0.9665, reader_cost=0.0001 | ETA 05:48:24 2020-12-17 03:48:40 [INFO] [TRAIN] epoch=28, iter=18380/40000, loss=0.2291, lr=0.005748, batch_cost=0.9771, reader_cost=0.0001 | ETA 05:52:04 2020-12-17 03:48:49 [INFO] [TRAIN] epoch=28, iter=18390/40000, loss=0.3157, lr=0.005746, batch_cost=0.9508, reader_cost=0.0002 | ETA 05:42:26 2020-12-17 03:48:58 [INFO] [TRAIN] epoch=28, iter=18400/40000, loss=0.2596, lr=0.005743, batch_cost=0.8738, reader_cost=0.0002 | ETA 05:14:34 2020-12-17 03:49:08 [INFO] [TRAIN] epoch=28, iter=18410/40000, loss=0.3699, lr=0.005741, batch_cost=0.9793, reader_cost=0.0002 | ETA 05:52:22 2020-12-17 03:49:17 [INFO] [TRAIN] epoch=28, iter=18420/40000, loss=0.4182, lr=0.005739, batch_cost=0.8937, reader_cost=0.0014 | ETA 05:21:25 2020-12-17 03:49:25 [INFO] [TRAIN] epoch=28, iter=18430/40000, loss=0.3282, lr=0.005736, batch_cost=0.8501, reader_cost=0.0001 | ETA 05:05:36 2020-12-17 03:49:34 [INFO] [TRAIN] epoch=28, iter=18440/40000, loss=0.3136, lr=0.005734, batch_cost=0.9108, reader_cost=0.0018 | ETA 05:27:16 2020-12-17 03:49:43 [INFO] [TRAIN] epoch=28, iter=18450/40000, loss=0.3150, lr=0.005731, batch_cost=0.8852, reader_cost=0.0002 | ETA 05:17:56 2020-12-17 03:49:51 [INFO] [TRAIN] epoch=28, iter=18460/40000, loss=0.2591, lr=0.005729, batch_cost=0.8197, reader_cost=0.0001 | ETA 04:54:15 2020-12-17 03:50:00 [INFO] [TRAIN] epoch=28, iter=18470/40000, loss=0.4607, lr=0.005727, batch_cost=0.8753, reader_cost=0.0001 | ETA 05:14:05 2020-12-17 03:50:08 [INFO] [TRAIN] epoch=28, iter=18480/40000, loss=0.2935, lr=0.005724, batch_cost=0.7802, reader_cost=0.0001 | ETA 04:39:49 2020-12-17 03:50:16 [INFO] [TRAIN] epoch=28, iter=18490/40000, loss=0.3841, lr=0.005722, batch_cost=0.7846, reader_cost=0.0001 | ETA 04:41:16 2020-12-17 03:50:23 [INFO] [TRAIN] epoch=28, iter=18500/40000, loss=0.2617, lr=0.005720, batch_cost=0.7674, reader_cost=0.0001 | ETA 04:34:59 2020-12-17 03:50:31 [INFO] [TRAIN] epoch=29, iter=18510/40000, loss=0.2493, lr=0.005717, batch_cost=0.7810, reader_cost=0.0337 | ETA 04:39:42 2020-12-17 03:50:40 [INFO] [TRAIN] epoch=29, iter=18520/40000, loss=0.3398, lr=0.005715, batch_cost=0.8662, reader_cost=0.0001 | ETA 05:10:06 2020-12-17 03:50:49 [INFO] [TRAIN] epoch=29, iter=18530/40000, loss=0.2499, lr=0.005712, batch_cost=0.9253, reader_cost=0.0001 | ETA 05:31:07 2020-12-17 03:50:59 [INFO] [TRAIN] epoch=29, iter=18540/40000, loss=0.3134, lr=0.005710, batch_cost=0.9841, reader_cost=0.0003 | ETA 05:51:59 2020-12-17 03:51:08 [INFO] [TRAIN] epoch=29, iter=18550/40000, loss=0.2019, lr=0.005708, batch_cost=0.9117, reader_cost=0.0001 | ETA 05:25:55 2020-12-17 03:51:17 [INFO] [TRAIN] epoch=29, iter=18560/40000, loss=0.2345, lr=0.005705, batch_cost=0.8635, reader_cost=0.0001 | ETA 05:08:32 2020-12-17 03:51:25 [INFO] [TRAIN] epoch=29, iter=18570/40000, loss=0.2415, lr=0.005703, batch_cost=0.8605, reader_cost=0.0029 | ETA 05:07:20 2020-12-17 03:51:35 [INFO] [TRAIN] epoch=29, iter=18580/40000, loss=0.3272, lr=0.005700, batch_cost=0.9776, reader_cost=0.0001 | ETA 05:49:00 2020-12-17 03:51:44 [INFO] [TRAIN] epoch=29, iter=18590/40000, loss=0.2188, lr=0.005698, batch_cost=0.9266, reader_cost=0.0001 | ETA 05:30:38 2020-12-17 03:51:53 [INFO] [TRAIN] epoch=29, iter=18600/40000, loss=0.2096, lr=0.005696, batch_cost=0.9005, reader_cost=0.0001 | ETA 05:21:11 2020-12-17 03:52:03 [INFO] [TRAIN] epoch=29, iter=18610/40000, loss=0.3379, lr=0.005693, batch_cost=0.9377, reader_cost=0.0001 | ETA 05:34:16 2020-12-17 03:52:12 [INFO] [TRAIN] epoch=29, iter=18620/40000, loss=0.3411, lr=0.005691, batch_cost=0.9427, reader_cost=0.0001 | ETA 05:35:53 2020-12-17 03:52:22 [INFO] [TRAIN] epoch=29, iter=18630/40000, loss=0.3863, lr=0.005688, batch_cost=1.0191, reader_cost=0.0002 | ETA 06:02:58 2020-12-17 03:52:32 [INFO] [TRAIN] epoch=29, iter=18640/40000, loss=0.2849, lr=0.005686, batch_cost=0.9691, reader_cost=0.0002 | ETA 05:45:00 2020-12-17 03:52:42 [INFO] [TRAIN] epoch=29, iter=18650/40000, loss=0.4062, lr=0.005684, batch_cost=1.0110, reader_cost=0.0002 | ETA 05:59:44 2020-12-17 03:52:51 [INFO] [TRAIN] epoch=29, iter=18660/40000, loss=0.2609, lr=0.005681, batch_cost=0.8958, reader_cost=0.0001 | ETA 05:18:36 2020-12-17 03:53:00 [INFO] [TRAIN] epoch=29, iter=18670/40000, loss=0.2482, lr=0.005679, batch_cost=0.9200, reader_cost=0.0012 | ETA 05:27:03 2020-12-17 03:53:09 [INFO] [TRAIN] epoch=29, iter=18680/40000, loss=0.2758, lr=0.005676, batch_cost=0.8903, reader_cost=0.0001 | ETA 05:16:20 2020-12-17 03:53:18 [INFO] [TRAIN] epoch=29, iter=18690/40000, loss=0.3588, lr=0.005674, batch_cost=0.8494, reader_cost=0.0002 | ETA 05:01:40 2020-12-17 03:53:26 [INFO] [TRAIN] epoch=29, iter=18700/40000, loss=0.2805, lr=0.005672, batch_cost=0.8301, reader_cost=0.0001 | ETA 04:54:41 2020-12-17 03:53:36 [INFO] [TRAIN] epoch=29, iter=18710/40000, loss=0.1997, lr=0.005669, batch_cost=1.0028, reader_cost=0.0002 | ETA 05:55:48 2020-12-17 03:53:45 [INFO] [TRAIN] epoch=29, iter=18720/40000, loss=0.2387, lr=0.005667, batch_cost=0.8474, reader_cost=0.0001 | ETA 05:00:33 2020-12-17 03:53:53 [INFO] [TRAIN] epoch=29, iter=18730/40000, loss=0.4489, lr=0.005664, batch_cost=0.8847, reader_cost=0.0002 | ETA 05:13:37 2020-12-17 03:54:03 [INFO] [TRAIN] epoch=29, iter=18740/40000, loss=0.5204, lr=0.005662, batch_cost=0.9572, reader_cost=0.0001 | ETA 05:39:09 2020-12-17 03:54:12 [INFO] [TRAIN] epoch=29, iter=18750/40000, loss=0.2993, lr=0.005660, batch_cost=0.8958, reader_cost=0.0002 | ETA 05:17:16 2020-12-17 03:54:21 [INFO] [TRAIN] epoch=29, iter=18760/40000, loss=0.2236, lr=0.005657, batch_cost=0.9346, reader_cost=0.0018 | ETA 05:30:51 2020-12-17 03:54:30 [INFO] [TRAIN] epoch=29, iter=18770/40000, loss=0.3240, lr=0.005655, batch_cost=0.8780, reader_cost=0.0001 | ETA 05:10:39 2020-12-17 03:54:40 [INFO] [TRAIN] epoch=29, iter=18780/40000, loss=0.3097, lr=0.005652, batch_cost=0.9891, reader_cost=0.0001 | ETA 05:49:48 2020-12-17 03:54:49 [INFO] [TRAIN] epoch=29, iter=18790/40000, loss=0.3607, lr=0.005650, batch_cost=0.9219, reader_cost=0.0002 | ETA 05:25:53 2020-12-17 03:54:59 [INFO] [TRAIN] epoch=29, iter=18800/40000, loss=0.5590, lr=0.005648, batch_cost=1.0150, reader_cost=0.0002 | ETA 05:58:37 2020-12-17 03:55:09 [INFO] [TRAIN] epoch=29, iter=18810/40000, loss=0.4808, lr=0.005645, batch_cost=0.9612, reader_cost=0.0002 | ETA 05:39:28 2020-12-17 03:55:20 [INFO] [TRAIN] epoch=29, iter=18820/40000, loss=0.2440, lr=0.005643, batch_cost=1.1089, reader_cost=0.0002 | ETA 06:31:25 2020-12-17 03:55:31 [INFO] [TRAIN] epoch=29, iter=18830/40000, loss=0.3765, lr=0.005640, batch_cost=1.0697, reader_cost=0.0002 | ETA 06:17:24 2020-12-17 03:55:40 [INFO] [TRAIN] epoch=29, iter=18840/40000, loss=0.3761, lr=0.005638, batch_cost=0.8987, reader_cost=0.0001 | ETA 05:16:56 2020-12-17 03:55:48 [INFO] [TRAIN] epoch=29, iter=18850/40000, loss=0.3144, lr=0.005636, batch_cost=0.8212, reader_cost=0.0001 | ETA 04:49:28 2020-12-17 03:55:56 [INFO] [TRAIN] epoch=29, iter=18860/40000, loss=0.2644, lr=0.005633, batch_cost=0.8402, reader_cost=0.0001 | ETA 04:56:02 2020-12-17 03:56:04 [INFO] [TRAIN] epoch=29, iter=18870/40000, loss=0.2854, lr=0.005631, batch_cost=0.7352, reader_cost=0.0001 | ETA 04:18:55 2020-12-17 03:56:11 [INFO] [TRAIN] epoch=29, iter=18880/40000, loss=0.3116, lr=0.005628, batch_cost=0.7160, reader_cost=0.0001 | ETA 04:12:01 2020-12-17 03:56:19 [INFO] [TRAIN] epoch=29, iter=18890/40000, loss=0.2438, lr=0.005626, batch_cost=0.8254, reader_cost=0.0001 | ETA 04:50:23 2020-12-17 03:56:28 [INFO] [TRAIN] epoch=29, iter=18900/40000, loss=0.3234, lr=0.005624, batch_cost=0.8545, reader_cost=0.0002 | ETA 05:00:29 2020-12-17 03:56:38 [INFO] [TRAIN] epoch=29, iter=18910/40000, loss=0.3538, lr=0.005621, batch_cost=1.0142, reader_cost=0.0006 | ETA 05:56:30 2020-12-17 03:56:47 [INFO] [TRAIN] epoch=29, iter=18920/40000, loss=0.3017, lr=0.005619, batch_cost=0.9645, reader_cost=0.0003 | ETA 05:38:52 2020-12-17 03:56:56 [INFO] [TRAIN] epoch=29, iter=18930/40000, loss=0.2322, lr=0.005616, batch_cost=0.8913, reader_cost=0.0002 | ETA 05:12:59 2020-12-17 03:57:06 [INFO] [TRAIN] epoch=29, iter=18940/40000, loss=0.2164, lr=0.005614, batch_cost=0.9367, reader_cost=0.0015 | ETA 05:28:46 2020-12-17 03:57:15 [INFO] [TRAIN] epoch=29, iter=18950/40000, loss=0.3112, lr=0.005612, batch_cost=0.8851, reader_cost=0.0006 | ETA 05:10:32 2020-12-17 03:57:24 [INFO] [TRAIN] epoch=29, iter=18960/40000, loss=0.3112, lr=0.005609, batch_cost=0.9748, reader_cost=0.0014 | ETA 05:41:49 2020-12-17 03:57:33 [INFO] [TRAIN] epoch=29, iter=18970/40000, loss=0.1877, lr=0.005607, batch_cost=0.9100, reader_cost=0.0001 | ETA 05:18:58 2020-12-17 03:57:43 [INFO] [TRAIN] epoch=29, iter=18980/40000, loss=0.1867, lr=0.005604, batch_cost=0.9176, reader_cost=0.0001 | ETA 05:21:27 2020-12-17 03:57:53 [INFO] [TRAIN] epoch=29, iter=18990/40000, loss=0.2583, lr=0.005602, batch_cost=1.0205, reader_cost=0.0001 | ETA 05:57:20 2020-12-17 03:58:02 [INFO] [TRAIN] epoch=29, iter=19000/40000, loss=0.4315, lr=0.005600, batch_cost=0.9341, reader_cost=0.0002 | ETA 05:26:56 2020-12-17 03:58:02 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 03:58:53 [INFO] [EVAL] #Images=1449 mIoU=0.7292 Acc=0.9389 Kappa=0.8646 2020-12-17 03:58:53 [INFO] [EVAL] Class IoU: [0.9336 0.7908 0.4284 0.8253 0.6301 0.7048 0.9447 0.8485 0.8846 0.3806 0.8273 0.5076 0.8047 0.8224 0.8614 0.8366 0.4574 0.7843 0.5363 0.7937 0.7105] 2020-12-17 03:58:53 [INFO] [EVAL] Class Acc: [0.9606 0.8148 0.4553 0.8591 0.714 0.9034 0.9697 0.9421 0.9252 0.6301 0.8617 0.7882 0.8967 0.8918 0.9239 0.9615 0.8541 0.9335 0.6744 0.8969 0.9772] 2020-12-17 03:59:04 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 03:59:12 [INFO] [TRAIN] epoch=29, iter=19010/40000, loss=0.3288, lr=0.005597, batch_cost=0.8597, reader_cost=0.0002 | ETA 05:00:45 2020-12-17 03:59:22 [INFO] [TRAIN] epoch=29, iter=19020/40000, loss=0.3497, lr=0.005595, batch_cost=0.9374, reader_cost=0.0002 | ETA 05:27:46 2020-12-17 03:59:30 [INFO] [TRAIN] epoch=29, iter=19030/40000, loss=0.2711, lr=0.005592, batch_cost=0.8915, reader_cost=0.0002 | ETA 05:11:35 2020-12-17 03:59:40 [INFO] [TRAIN] epoch=29, iter=19040/40000, loss=0.2589, lr=0.005590, batch_cost=0.9366, reader_cost=0.0002 | ETA 05:27:10 2020-12-17 03:59:50 [INFO] [TRAIN] epoch=29, iter=19050/40000, loss=0.2713, lr=0.005588, batch_cost=1.0357, reader_cost=0.0002 | ETA 06:01:38 2020-12-17 04:00:00 [INFO] [TRAIN] epoch=29, iter=19060/40000, loss=0.3472, lr=0.005585, batch_cost=1.0031, reader_cost=0.0001 | ETA 05:50:05 2020-12-17 04:00:09 [INFO] [TRAIN] epoch=29, iter=19070/40000, loss=0.3698, lr=0.005583, batch_cost=0.9022, reader_cost=0.0012 | ETA 05:14:42 2020-12-17 04:00:18 [INFO] [TRAIN] epoch=29, iter=19080/40000, loss=0.3333, lr=0.005580, batch_cost=0.8499, reader_cost=0.0001 | ETA 04:56:19 2020-12-17 04:00:26 [INFO] [TRAIN] epoch=29, iter=19090/40000, loss=0.2392, lr=0.005578, batch_cost=0.8687, reader_cost=0.0001 | ETA 05:02:45 2020-12-17 04:00:36 [INFO] [TRAIN] epoch=29, iter=19100/40000, loss=0.1897, lr=0.005576, batch_cost=0.9101, reader_cost=0.0001 | ETA 05:17:00 2020-12-17 04:00:44 [INFO] [TRAIN] epoch=29, iter=19110/40000, loss=0.2532, lr=0.005573, batch_cost=0.8878, reader_cost=0.0001 | ETA 05:09:06 2020-12-17 04:00:54 [INFO] [TRAIN] epoch=29, iter=19120/40000, loss=0.4807, lr=0.005571, batch_cost=1.0003, reader_cost=0.0001 | ETA 05:48:06 2020-12-17 04:01:03 [INFO] [TRAIN] epoch=29, iter=19130/40000, loss=0.5334, lr=0.005568, batch_cost=0.8951, reader_cost=0.0026 | ETA 05:11:21 2020-12-17 04:01:14 [INFO] [TRAIN] epoch=29, iter=19140/40000, loss=0.3309, lr=0.005566, batch_cost=1.0474, reader_cost=0.0002 | ETA 06:04:08 2020-12-17 04:01:23 [INFO] [TRAIN] epoch=29, iter=19150/40000, loss=0.3086, lr=0.005564, batch_cost=0.9251, reader_cost=0.0021 | ETA 05:21:28 2020-12-17 04:01:34 [INFO] [TRAIN] epoch=29, iter=19160/40000, loss=0.3354, lr=0.005561, batch_cost=1.0620, reader_cost=0.0001 | ETA 06:08:51 2020-12-17 04:01:42 [INFO] [TRAIN] epoch=30, iter=19170/40000, loss=0.3796, lr=0.005559, batch_cost=0.8560, reader_cost=0.0227 | ETA 04:57:10 2020-12-17 04:01:51 [INFO] [TRAIN] epoch=30, iter=19180/40000, loss=0.2946, lr=0.005556, batch_cost=0.8755, reader_cost=0.0001 | ETA 05:03:47 2020-12-17 04:01:59 [INFO] [TRAIN] epoch=30, iter=19190/40000, loss=0.3636, lr=0.005554, batch_cost=0.7982, reader_cost=0.0001 | ETA 04:36:51 2020-12-17 04:02:06 [INFO] [TRAIN] epoch=30, iter=19200/40000, loss=0.2728, lr=0.005552, batch_cost=0.7077, reader_cost=0.0001 | ETA 04:05:19 2020-12-17 04:02:14 [INFO] [TRAIN] epoch=30, iter=19210/40000, loss=0.2869, lr=0.005549, batch_cost=0.7822, reader_cost=0.0001 | ETA 04:31:02 2020-12-17 04:02:23 [INFO] [TRAIN] epoch=30, iter=19220/40000, loss=0.3378, lr=0.005547, batch_cost=0.8643, reader_cost=0.0001 | ETA 04:59:20 2020-12-17 04:02:31 [INFO] [TRAIN] epoch=30, iter=19230/40000, loss=0.2196, lr=0.005544, batch_cost=0.8662, reader_cost=0.0001 | ETA 04:59:50 2020-12-17 04:02:41 [INFO] [TRAIN] epoch=30, iter=19240/40000, loss=0.2785, lr=0.005542, batch_cost=0.9491, reader_cost=0.0002 | ETA 05:28:23 2020-12-17 04:02:49 [INFO] [TRAIN] epoch=30, iter=19250/40000, loss=0.3430, lr=0.005540, batch_cost=0.8604, reader_cost=0.0002 | ETA 04:57:33 2020-12-17 04:02:58 [INFO] [TRAIN] epoch=30, iter=19260/40000, loss=0.2523, lr=0.005537, batch_cost=0.8563, reader_cost=0.0002 | ETA 04:55:59 2020-12-17 04:03:08 [INFO] [TRAIN] epoch=30, iter=19270/40000, loss=0.2155, lr=0.005535, batch_cost=1.0254, reader_cost=0.0002 | ETA 05:54:17 2020-12-17 04:03:17 [INFO] [TRAIN] epoch=30, iter=19280/40000, loss=0.3540, lr=0.005532, batch_cost=0.9240, reader_cost=0.0002 | ETA 05:19:05 2020-12-17 04:03:26 [INFO] [TRAIN] epoch=30, iter=19290/40000, loss=0.2992, lr=0.005530, batch_cost=0.9084, reader_cost=0.0001 | ETA 05:13:33 2020-12-17 04:03:35 [INFO] [TRAIN] epoch=30, iter=19300/40000, loss=0.3761, lr=0.005528, batch_cost=0.8897, reader_cost=0.0003 | ETA 05:06:55 2020-12-17 04:03:45 [INFO] [TRAIN] epoch=30, iter=19310/40000, loss=0.2362, lr=0.005525, batch_cost=0.9379, reader_cost=0.0010 | ETA 05:23:25 2020-12-17 04:03:53 [INFO] [TRAIN] epoch=30, iter=19320/40000, loss=0.3238, lr=0.005523, batch_cost=0.8442, reader_cost=0.0002 | ETA 04:50:58 2020-12-17 04:04:02 [INFO] [TRAIN] epoch=30, iter=19330/40000, loss=0.2369, lr=0.005520, batch_cost=0.9266, reader_cost=0.0015 | ETA 05:19:12 2020-12-17 04:04:12 [INFO] [TRAIN] epoch=30, iter=19340/40000, loss=0.3681, lr=0.005518, batch_cost=0.9459, reader_cost=0.0013 | ETA 05:25:42 2020-12-17 04:04:22 [INFO] [TRAIN] epoch=30, iter=19350/40000, loss=0.3788, lr=0.005516, batch_cost=1.0223, reader_cost=0.0001 | ETA 05:51:49 2020-12-17 04:04:32 [INFO] [TRAIN] epoch=30, iter=19360/40000, loss=0.2127, lr=0.005513, batch_cost=1.0137, reader_cost=0.0001 | ETA 05:48:43 2020-12-17 04:04:42 [INFO] [TRAIN] epoch=30, iter=19370/40000, loss=0.3785, lr=0.005511, batch_cost=0.9408, reader_cost=0.0002 | ETA 05:23:29 2020-12-17 04:04:52 [INFO] [TRAIN] epoch=30, iter=19380/40000, loss=0.2664, lr=0.005508, batch_cost=0.9888, reader_cost=0.0002 | ETA 05:39:48 2020-12-17 04:05:01 [INFO] [TRAIN] epoch=30, iter=19390/40000, loss=0.3477, lr=0.005506, batch_cost=0.9335, reader_cost=0.0001 | ETA 05:20:40 2020-12-17 04:05:10 [INFO] [TRAIN] epoch=30, iter=19400/40000, loss=0.3258, lr=0.005504, batch_cost=0.9164, reader_cost=0.0001 | ETA 05:14:38 2020-12-17 04:05:20 [INFO] [TRAIN] epoch=30, iter=19410/40000, loss=0.3141, lr=0.005501, batch_cost=0.9742, reader_cost=0.0002 | ETA 05:34:18 2020-12-17 04:05:29 [INFO] [TRAIN] epoch=30, iter=19420/40000, loss=0.3180, lr=0.005499, batch_cost=0.9410, reader_cost=0.0001 | ETA 05:22:44 2020-12-17 04:05:40 [INFO] [TRAIN] epoch=30, iter=19430/40000, loss=0.3233, lr=0.005496, batch_cost=1.0456, reader_cost=0.0002 | ETA 05:58:28 2020-12-17 04:05:48 [INFO] [TRAIN] epoch=30, iter=19440/40000, loss=0.3907, lr=0.005494, batch_cost=0.8746, reader_cost=0.0002 | ETA 04:59:42 2020-12-17 04:05:58 [INFO] [TRAIN] epoch=30, iter=19450/40000, loss=0.2769, lr=0.005492, batch_cost=0.9633, reader_cost=0.0010 | ETA 05:29:56 2020-12-17 04:06:07 [INFO] [TRAIN] epoch=30, iter=19460/40000, loss=0.2997, lr=0.005489, batch_cost=0.8876, reader_cost=0.0002 | ETA 05:03:51 2020-12-17 04:06:15 [INFO] [TRAIN] epoch=30, iter=19470/40000, loss=0.2537, lr=0.005487, batch_cost=0.8252, reader_cost=0.0001 | ETA 04:42:21 2020-12-17 04:06:25 [INFO] [TRAIN] epoch=30, iter=19480/40000, loss=0.2530, lr=0.005484, batch_cost=0.9507, reader_cost=0.0001 | ETA 05:25:08 2020-12-17 04:06:35 [INFO] [TRAIN] epoch=30, iter=19490/40000, loss=0.2450, lr=0.005482, batch_cost=0.9851, reader_cost=0.0002 | ETA 05:36:43 2020-12-17 04:06:44 [INFO] [TRAIN] epoch=30, iter=19500/40000, loss=0.3954, lr=0.005480, batch_cost=0.9447, reader_cost=0.0002 | ETA 05:22:45 2020-12-17 04:06:53 [INFO] [TRAIN] epoch=30, iter=19510/40000, loss=0.2672, lr=0.005477, batch_cost=0.9433, reader_cost=0.0002 | ETA 05:22:09 2020-12-17 04:07:04 [INFO] [TRAIN] epoch=30, iter=19520/40000, loss=0.1940, lr=0.005475, batch_cost=1.0039, reader_cost=0.0004 | ETA 05:42:40 2020-12-17 04:07:12 [INFO] [TRAIN] epoch=30, iter=19530/40000, loss=0.2776, lr=0.005472, batch_cost=0.8673, reader_cost=0.0002 | ETA 04:55:54 2020-12-17 04:07:21 [INFO] [TRAIN] epoch=30, iter=19540/40000, loss=0.2726, lr=0.005470, batch_cost=0.9079, reader_cost=0.0001 | ETA 05:09:36 2020-12-17 04:07:32 [INFO] [TRAIN] epoch=30, iter=19550/40000, loss=0.3726, lr=0.005468, batch_cost=1.0440, reader_cost=0.0002 | ETA 05:55:50 2020-12-17 04:07:39 [INFO] [TRAIN] epoch=30, iter=19560/40000, loss=0.3396, lr=0.005465, batch_cost=0.7771, reader_cost=0.0001 | ETA 04:24:43 2020-12-17 04:07:48 [INFO] [TRAIN] epoch=30, iter=19570/40000, loss=0.2378, lr=0.005463, batch_cost=0.8764, reader_cost=0.0001 | ETA 04:58:24 2020-12-17 04:07:56 [INFO] [TRAIN] epoch=30, iter=19580/40000, loss=0.2247, lr=0.005460, batch_cost=0.8087, reader_cost=0.0001 | ETA 04:35:12 2020-12-17 04:08:03 [INFO] [TRAIN] epoch=30, iter=19590/40000, loss=0.1719, lr=0.005458, batch_cost=0.7042, reader_cost=0.0001 | ETA 03:59:31 2020-12-17 04:08:12 [INFO] [TRAIN] epoch=30, iter=19600/40000, loss=0.3196, lr=0.005455, batch_cost=0.8365, reader_cost=0.0001 | ETA 04:44:25 2020-12-17 04:08:21 [INFO] [TRAIN] epoch=30, iter=19610/40000, loss=0.2957, lr=0.005453, batch_cost=0.9453, reader_cost=0.0002 | ETA 05:21:15 2020-12-17 04:08:31 [INFO] [TRAIN] epoch=30, iter=19620/40000, loss=0.2369, lr=0.005451, batch_cost=0.9691, reader_cost=0.0001 | ETA 05:29:09 2020-12-17 04:08:41 [INFO] [TRAIN] epoch=30, iter=19630/40000, loss=0.2732, lr=0.005448, batch_cost=0.9818, reader_cost=0.0001 | ETA 05:33:19 2020-12-17 04:08:50 [INFO] [TRAIN] epoch=30, iter=19640/40000, loss=0.2553, lr=0.005446, batch_cost=0.9483, reader_cost=0.0002 | ETA 05:21:48 2020-12-17 04:09:00 [INFO] [TRAIN] epoch=30, iter=19650/40000, loss=0.2331, lr=0.005443, batch_cost=0.9420, reader_cost=0.0014 | ETA 05:19:28 2020-12-17 04:09:09 [INFO] [TRAIN] epoch=30, iter=19660/40000, loss=0.2346, lr=0.005441, batch_cost=0.9217, reader_cost=0.0002 | ETA 05:12:26 2020-12-17 04:09:18 [INFO] [TRAIN] epoch=30, iter=19670/40000, loss=0.3309, lr=0.005439, batch_cost=0.8902, reader_cost=0.0002 | ETA 05:01:38 2020-12-17 04:09:27 [INFO] [TRAIN] epoch=30, iter=19680/40000, loss=0.4180, lr=0.005436, batch_cost=0.9161, reader_cost=0.0002 | ETA 05:10:14 2020-12-17 04:09:37 [INFO] [TRAIN] epoch=30, iter=19690/40000, loss=0.3438, lr=0.005434, batch_cost=0.9883, reader_cost=0.0002 | ETA 05:34:32 2020-12-17 04:09:46 [INFO] [TRAIN] epoch=30, iter=19700/40000, loss=0.3288, lr=0.005431, batch_cost=0.9096, reader_cost=0.0001 | ETA 05:07:44 2020-12-17 04:09:55 [INFO] [TRAIN] epoch=30, iter=19710/40000, loss=0.2775, lr=0.005429, batch_cost=0.9221, reader_cost=0.0001 | ETA 05:11:49 2020-12-17 04:10:04 [INFO] [TRAIN] epoch=30, iter=19720/40000, loss=0.5176, lr=0.005427, batch_cost=0.9270, reader_cost=0.0002 | ETA 05:13:19 2020-12-17 04:10:14 [INFO] [TRAIN] epoch=30, iter=19730/40000, loss=0.2593, lr=0.005424, batch_cost=0.9258, reader_cost=0.0002 | ETA 05:12:45 2020-12-17 04:10:23 [INFO] [TRAIN] epoch=30, iter=19740/40000, loss=0.2461, lr=0.005422, batch_cost=0.9058, reader_cost=0.0002 | ETA 05:05:52 2020-12-17 04:10:33 [INFO] [TRAIN] epoch=30, iter=19750/40000, loss=0.2539, lr=0.005419, batch_cost=0.9909, reader_cost=0.0002 | ETA 05:34:26 2020-12-17 04:10:42 [INFO] [TRAIN] epoch=30, iter=19760/40000, loss=0.1889, lr=0.005417, batch_cost=0.9259, reader_cost=0.0014 | ETA 05:12:19 2020-12-17 04:10:51 [INFO] [TRAIN] epoch=30, iter=19770/40000, loss=0.3670, lr=0.005415, batch_cost=0.9119, reader_cost=0.0002 | ETA 05:07:27 2020-12-17 04:11:00 [INFO] [TRAIN] epoch=30, iter=19780/40000, loss=0.3832, lr=0.005412, batch_cost=0.9021, reader_cost=0.0002 | ETA 05:03:59 2020-12-17 04:11:10 [INFO] [TRAIN] epoch=30, iter=19790/40000, loss=0.1876, lr=0.005410, batch_cost=0.9548, reader_cost=0.0002 | ETA 05:21:36 2020-12-17 04:11:20 [INFO] [TRAIN] epoch=30, iter=19800/40000, loss=0.2219, lr=0.005407, batch_cost=1.0225, reader_cost=0.0014 | ETA 05:44:13 2020-12-17 04:11:29 [INFO] [TRAIN] epoch=30, iter=19810/40000, loss=0.4741, lr=0.005405, batch_cost=0.9418, reader_cost=0.0002 | ETA 05:16:55 2020-12-17 04:11:39 [INFO] [TRAIN] epoch=30, iter=19820/40000, loss=0.2159, lr=0.005402, batch_cost=1.0094, reader_cost=0.0002 | ETA 05:39:29 2020-12-17 04:11:49 [INFO] [TRAIN] epoch=30, iter=19830/40000, loss=0.2955, lr=0.005400, batch_cost=0.9785, reader_cost=0.0001 | ETA 05:28:56 2020-12-17 04:11:59 [INFO] [TRAIN] epoch=31, iter=19840/40000, loss=0.2776, lr=0.005398, batch_cost=1.0107, reader_cost=0.0195 | ETA 05:39:35 2020-12-17 04:12:09 [INFO] [TRAIN] epoch=31, iter=19850/40000, loss=0.2245, lr=0.005395, batch_cost=0.9330, reader_cost=0.0002 | ETA 05:13:20 2020-12-17 04:12:17 [INFO] [TRAIN] epoch=31, iter=19860/40000, loss=0.3031, lr=0.005393, batch_cost=0.8746, reader_cost=0.0001 | ETA 04:53:34 2020-12-17 04:12:26 [INFO] [TRAIN] epoch=31, iter=19870/40000, loss=0.3434, lr=0.005390, batch_cost=0.8731, reader_cost=0.0001 | ETA 04:52:54 2020-12-17 04:12:35 [INFO] [TRAIN] epoch=31, iter=19880/40000, loss=0.2400, lr=0.005388, batch_cost=0.8826, reader_cost=0.0001 | ETA 04:55:58 2020-12-17 04:12:44 [INFO] [TRAIN] epoch=31, iter=19890/40000, loss=0.3166, lr=0.005386, batch_cost=0.9380, reader_cost=0.0015 | ETA 05:14:23 2020-12-17 04:12:54 [INFO] [TRAIN] epoch=31, iter=19900/40000, loss=0.2871, lr=0.005383, batch_cost=1.0074, reader_cost=0.0001 | ETA 05:37:28 2020-12-17 04:13:04 [INFO] [TRAIN] epoch=31, iter=19910/40000, loss=0.2595, lr=0.005381, batch_cost=0.9562, reader_cost=0.0014 | ETA 05:20:10 2020-12-17 04:13:13 [INFO] [TRAIN] epoch=31, iter=19920/40000, loss=0.3252, lr=0.005378, batch_cost=0.9528, reader_cost=0.0003 | ETA 05:18:51 2020-12-17 04:13:23 [INFO] [TRAIN] epoch=31, iter=19930/40000, loss=0.3592, lr=0.005376, batch_cost=0.9252, reader_cost=0.0002 | ETA 05:09:29 2020-12-17 04:13:31 [INFO] [TRAIN] epoch=31, iter=19940/40000, loss=0.3911, lr=0.005374, batch_cost=0.7921, reader_cost=0.0002 | ETA 04:24:48 2020-12-17 04:13:42 [INFO] [TRAIN] epoch=31, iter=19950/40000, loss=0.2969, lr=0.005371, batch_cost=1.1342, reader_cost=0.0001 | ETA 06:19:00 2020-12-17 04:13:50 [INFO] [TRAIN] epoch=31, iter=19960/40000, loss=0.2707, lr=0.005369, batch_cost=0.8198, reader_cost=0.0001 | ETA 04:33:47 2020-12-17 04:13:58 [INFO] [TRAIN] epoch=31, iter=19970/40000, loss=0.4042, lr=0.005366, batch_cost=0.7412, reader_cost=0.0001 | ETA 04:07:26 2020-12-17 04:14:06 [INFO] [TRAIN] epoch=31, iter=19980/40000, loss=0.3213, lr=0.005364, batch_cost=0.8390, reader_cost=0.0001 | ETA 04:39:56 2020-12-17 04:14:15 [INFO] [TRAIN] epoch=31, iter=19990/40000, loss=0.2724, lr=0.005362, batch_cost=0.9568, reader_cost=0.0002 | ETA 05:19:05 2020-12-17 04:14:25 [INFO] [TRAIN] epoch=31, iter=20000/40000, loss=0.3182, lr=0.005359, batch_cost=0.9950, reader_cost=0.0002 | ETA 05:31:39 2020-12-17 04:14:25 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 04:15:17 [INFO] [EVAL] #Images=1449 mIoU=0.7243 Acc=0.9374 Kappa=0.8609 2020-12-17 04:15:17 [INFO] [EVAL] Class IoU: [0.9344 0.8864 0.4211 0.7697 0.6587 0.5154 0.8779 0.851 0.8647 0.3412 0.8599 0.5766 0.7881 0.8257 0.8397 0.8602 0.5753 0.7555 0.5335 0.7455 0.7296] 2020-12-17 04:15:17 [INFO] [EVAL] Class Acc: [0.9602 0.928 0.4372 0.8453 0.893 0.9031 0.9856 0.9386 0.9664 0.4592 0.9624 0.7552 0.8916 0.928 0.9475 0.9327 0.661 0.9495 0.7248 0.8954 0.8578] 2020-12-17 04:15:26 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 04:15:35 [INFO] [TRAIN] epoch=31, iter=20010/40000, loss=0.2174, lr=0.005357, batch_cost=0.9472, reader_cost=0.0002 | ETA 05:15:35 2020-12-17 04:15:45 [INFO] [TRAIN] epoch=31, iter=20020/40000, loss=0.2429, lr=0.005354, batch_cost=1.0006, reader_cost=0.0001 | ETA 05:33:11 2020-12-17 04:15:55 [INFO] [TRAIN] epoch=31, iter=20030/40000, loss=0.3126, lr=0.005352, batch_cost=1.0069, reader_cost=0.0002 | ETA 05:35:08 2020-12-17 04:16:05 [INFO] [TRAIN] epoch=31, iter=20040/40000, loss=0.3331, lr=0.005349, batch_cost=0.9275, reader_cost=0.0014 | ETA 05:08:33 2020-12-17 04:16:14 [INFO] [TRAIN] epoch=31, iter=20050/40000, loss=0.2441, lr=0.005347, batch_cost=0.9262, reader_cost=0.0001 | ETA 05:07:57 2020-12-17 04:16:23 [INFO] [TRAIN] epoch=31, iter=20060/40000, loss=0.2592, lr=0.005345, batch_cost=0.8843, reader_cost=0.0002 | ETA 04:53:52 2020-12-17 04:16:33 [INFO] [TRAIN] epoch=31, iter=20070/40000, loss=0.4327, lr=0.005342, batch_cost=1.0326, reader_cost=0.0002 | ETA 05:43:00 2020-12-17 04:16:42 [INFO] [TRAIN] epoch=31, iter=20080/40000, loss=0.3298, lr=0.005340, batch_cost=0.9190, reader_cost=0.0001 | ETA 05:05:07 2020-12-17 04:16:52 [INFO] [TRAIN] epoch=31, iter=20090/40000, loss=0.2867, lr=0.005337, batch_cost=0.9613, reader_cost=0.0002 | ETA 05:19:00 2020-12-17 04:17:01 [INFO] [TRAIN] epoch=31, iter=20100/40000, loss=0.3882, lr=0.005335, batch_cost=0.9162, reader_cost=0.0001 | ETA 05:03:52 2020-12-17 04:17:10 [INFO] [TRAIN] epoch=31, iter=20110/40000, loss=0.3481, lr=0.005333, batch_cost=0.8754, reader_cost=0.0002 | ETA 04:50:11 2020-12-17 04:17:19 [INFO] [TRAIN] epoch=31, iter=20120/40000, loss=0.3170, lr=0.005330, batch_cost=0.8937, reader_cost=0.0002 | ETA 04:56:06 2020-12-17 04:17:28 [INFO] [TRAIN] epoch=31, iter=20130/40000, loss=0.2772, lr=0.005328, batch_cost=0.8756, reader_cost=0.0001 | ETA 04:49:57 2020-12-17 04:17:36 [INFO] [TRAIN] epoch=31, iter=20140/40000, loss=0.2806, lr=0.005325, batch_cost=0.8882, reader_cost=0.0001 | ETA 04:53:59 2020-12-17 04:17:45 [INFO] [TRAIN] epoch=31, iter=20150/40000, loss=0.5005, lr=0.005323, batch_cost=0.8256, reader_cost=0.0001 | ETA 04:33:07 2020-12-17 04:17:53 [INFO] [TRAIN] epoch=31, iter=20160/40000, loss=0.2409, lr=0.005321, batch_cost=0.8378, reader_cost=0.0001 | ETA 04:37:02 2020-12-17 04:18:01 [INFO] [TRAIN] epoch=31, iter=20170/40000, loss=0.2845, lr=0.005318, batch_cost=0.8230, reader_cost=0.0001 | ETA 04:32:00 2020-12-17 04:18:09 [INFO] [TRAIN] epoch=31, iter=20180/40000, loss=0.3104, lr=0.005316, batch_cost=0.7720, reader_cost=0.0001 | ETA 04:15:01 2020-12-17 04:18:19 [INFO] [TRAIN] epoch=31, iter=20190/40000, loss=0.3507, lr=0.005313, batch_cost=0.9444, reader_cost=0.0001 | ETA 05:11:49 2020-12-17 04:18:27 [INFO] [TRAIN] epoch=31, iter=20200/40000, loss=0.3188, lr=0.005311, batch_cost=0.8764, reader_cost=0.0002 | ETA 04:49:12 2020-12-17 04:18:36 [INFO] [TRAIN] epoch=31, iter=20210/40000, loss=0.4795, lr=0.005308, batch_cost=0.8841, reader_cost=0.0002 | ETA 04:51:36 2020-12-17 04:18:44 [INFO] [TRAIN] epoch=31, iter=20220/40000, loss=0.3956, lr=0.005306, batch_cost=0.8258, reader_cost=0.0002 | ETA 04:32:15 2020-12-17 04:18:53 [INFO] [TRAIN] epoch=31, iter=20230/40000, loss=0.3669, lr=0.005304, batch_cost=0.8867, reader_cost=0.0001 | ETA 04:52:10 2020-12-17 04:19:02 [INFO] [TRAIN] epoch=31, iter=20240/40000, loss=0.3269, lr=0.005301, batch_cost=0.8290, reader_cost=0.0002 | ETA 04:33:01 2020-12-17 04:19:11 [INFO] [TRAIN] epoch=31, iter=20250/40000, loss=0.3679, lr=0.005299, batch_cost=0.9907, reader_cost=0.0002 | ETA 05:26:06 2020-12-17 04:19:20 [INFO] [TRAIN] epoch=31, iter=20260/40000, loss=0.4041, lr=0.005296, batch_cost=0.8500, reader_cost=0.0006 | ETA 04:39:38 2020-12-17 04:19:28 [INFO] [TRAIN] epoch=31, iter=20270/40000, loss=0.3354, lr=0.005294, batch_cost=0.7997, reader_cost=0.0001 | ETA 04:22:57 2020-12-17 04:19:37 [INFO] [TRAIN] epoch=31, iter=20280/40000, loss=0.3052, lr=0.005292, batch_cost=0.9157, reader_cost=0.0002 | ETA 05:00:56 2020-12-17 04:19:47 [INFO] [TRAIN] epoch=31, iter=20290/40000, loss=0.3720, lr=0.005289, batch_cost=0.9602, reader_cost=0.0002 | ETA 05:15:24 2020-12-17 04:19:56 [INFO] [TRAIN] epoch=31, iter=20300/40000, loss=0.3242, lr=0.005287, batch_cost=0.9791, reader_cost=0.0002 | ETA 05:21:29 2020-12-17 04:20:06 [INFO] [TRAIN] epoch=31, iter=20310/40000, loss=0.2354, lr=0.005284, batch_cost=0.9262, reader_cost=0.0001 | ETA 05:03:57 2020-12-17 04:20:15 [INFO] [TRAIN] epoch=31, iter=20320/40000, loss=0.3198, lr=0.005282, batch_cost=0.8947, reader_cost=0.0001 | ETA 04:53:27 2020-12-17 04:20:23 [INFO] [TRAIN] epoch=31, iter=20330/40000, loss=0.5109, lr=0.005279, batch_cost=0.8085, reader_cost=0.0001 | ETA 04:25:03 2020-12-17 04:20:30 [INFO] [TRAIN] epoch=31, iter=20340/40000, loss=0.3141, lr=0.005277, batch_cost=0.7615, reader_cost=0.0001 | ETA 04:09:30 2020-12-17 04:20:38 [INFO] [TRAIN] epoch=31, iter=20350/40000, loss=0.3807, lr=0.005275, batch_cost=0.7242, reader_cost=0.0001 | ETA 03:57:09 2020-12-17 04:20:45 [INFO] [TRAIN] epoch=31, iter=20360/40000, loss=0.2461, lr=0.005272, batch_cost=0.7733, reader_cost=0.0001 | ETA 04:13:07 2020-12-17 04:20:54 [INFO] [TRAIN] epoch=31, iter=20370/40000, loss=0.2906, lr=0.005270, batch_cost=0.8184, reader_cost=0.0001 | ETA 04:27:44 2020-12-17 04:21:02 [INFO] [TRAIN] epoch=31, iter=20380/40000, loss=0.3203, lr=0.005267, batch_cost=0.8631, reader_cost=0.0002 | ETA 04:42:14 2020-12-17 04:21:12 [INFO] [TRAIN] epoch=31, iter=20390/40000, loss=0.2792, lr=0.005265, batch_cost=0.9688, reader_cost=0.0002 | ETA 05:16:37 2020-12-17 04:21:21 [INFO] [TRAIN] epoch=31, iter=20400/40000, loss=0.4064, lr=0.005263, batch_cost=0.9318, reader_cost=0.0015 | ETA 05:04:23 2020-12-17 04:21:30 [INFO] [TRAIN] epoch=31, iter=20410/40000, loss=0.2555, lr=0.005260, batch_cost=0.8899, reader_cost=0.0002 | ETA 04:50:33 2020-12-17 04:21:40 [INFO] [TRAIN] epoch=31, iter=20420/40000, loss=0.2847, lr=0.005258, batch_cost=1.0023, reader_cost=0.0001 | ETA 05:27:05 2020-12-17 04:21:50 [INFO] [TRAIN] epoch=31, iter=20430/40000, loss=0.3899, lr=0.005255, batch_cost=0.9371, reader_cost=0.0006 | ETA 05:05:39 2020-12-17 04:22:01 [INFO] [TRAIN] epoch=31, iter=20440/40000, loss=0.4033, lr=0.005253, batch_cost=1.1733, reader_cost=0.0015 | ETA 06:22:28 2020-12-17 04:22:13 [INFO] [TRAIN] epoch=31, iter=20450/40000, loss=0.2594, lr=0.005250, batch_cost=1.1411, reader_cost=0.0012 | ETA 06:11:48 2020-12-17 04:22:23 [INFO] [TRAIN] epoch=31, iter=20460/40000, loss=0.2931, lr=0.005248, batch_cost=1.0513, reader_cost=0.0002 | ETA 05:42:22 2020-12-17 04:22:33 [INFO] [TRAIN] epoch=31, iter=20470/40000, loss=0.2467, lr=0.005246, batch_cost=0.9687, reader_cost=0.0001 | ETA 05:15:19 2020-12-17 04:22:41 [INFO] [TRAIN] epoch=31, iter=20480/40000, loss=0.2658, lr=0.005243, batch_cost=0.8547, reader_cost=0.0002 | ETA 04:38:03 2020-12-17 04:22:50 [INFO] [TRAIN] epoch=31, iter=20490/40000, loss=0.2446, lr=0.005241, batch_cost=0.9004, reader_cost=0.0002 | ETA 04:52:46 2020-12-17 04:23:00 [INFO] [TRAIN] epoch=32, iter=20500/40000, loss=0.2506, lr=0.005238, batch_cost=0.9853, reader_cost=0.0327 | ETA 05:20:14 2020-12-17 04:23:09 [INFO] [TRAIN] epoch=32, iter=20510/40000, loss=0.2468, lr=0.005236, batch_cost=0.8927, reader_cost=0.0002 | ETA 04:49:58 2020-12-17 04:23:19 [INFO] [TRAIN] epoch=32, iter=20520/40000, loss=0.4631, lr=0.005234, batch_cost=0.9488, reader_cost=0.0014 | ETA 05:08:01 2020-12-17 04:23:28 [INFO] [TRAIN] epoch=32, iter=20530/40000, loss=0.3098, lr=0.005231, batch_cost=0.9524, reader_cost=0.0002 | ETA 05:09:02 2020-12-17 04:23:37 [INFO] [TRAIN] epoch=32, iter=20540/40000, loss=0.3151, lr=0.005229, batch_cost=0.8931, reader_cost=0.0002 | ETA 04:49:40 2020-12-17 04:23:48 [INFO] [TRAIN] epoch=32, iter=20550/40000, loss=0.2394, lr=0.005226, batch_cost=1.0411, reader_cost=0.0002 | ETA 05:37:30 2020-12-17 04:23:57 [INFO] [TRAIN] epoch=32, iter=20560/40000, loss=0.2815, lr=0.005224, batch_cost=0.9307, reader_cost=0.0002 | ETA 05:01:33 2020-12-17 04:24:05 [INFO] [TRAIN] epoch=32, iter=20570/40000, loss=0.2600, lr=0.005221, batch_cost=0.8400, reader_cost=0.0002 | ETA 04:32:00 2020-12-17 04:24:16 [INFO] [TRAIN] epoch=32, iter=20580/40000, loss=0.2713, lr=0.005219, batch_cost=1.0582, reader_cost=0.0002 | ETA 05:42:30 2020-12-17 04:24:26 [INFO] [TRAIN] epoch=32, iter=20590/40000, loss=0.3479, lr=0.005217, batch_cost=1.0070, reader_cost=0.0001 | ETA 05:25:45 2020-12-17 04:24:35 [INFO] [TRAIN] epoch=32, iter=20600/40000, loss=0.2338, lr=0.005214, batch_cost=0.8695, reader_cost=0.0001 | ETA 04:41:08 2020-12-17 04:24:43 [INFO] [TRAIN] epoch=32, iter=20610/40000, loss=0.2754, lr=0.005212, batch_cost=0.7966, reader_cost=0.0002 | ETA 04:17:26 2020-12-17 04:24:51 [INFO] [TRAIN] epoch=32, iter=20620/40000, loss=0.3732, lr=0.005209, batch_cost=0.8280, reader_cost=0.0002 | ETA 04:27:26 2020-12-17 04:24:59 [INFO] [TRAIN] epoch=32, iter=20630/40000, loss=0.3170, lr=0.005207, batch_cost=0.8652, reader_cost=0.0002 | ETA 04:39:19 2020-12-17 04:25:09 [INFO] [TRAIN] epoch=32, iter=20640/40000, loss=0.3517, lr=0.005205, batch_cost=0.9109, reader_cost=0.0002 | ETA 04:53:55 2020-12-17 04:25:18 [INFO] [TRAIN] epoch=32, iter=20650/40000, loss=0.1507, lr=0.005202, batch_cost=0.9556, reader_cost=0.0002 | ETA 05:08:11 2020-12-17 04:25:28 [INFO] [TRAIN] epoch=32, iter=20660/40000, loss=0.2603, lr=0.005200, batch_cost=0.9799, reader_cost=0.0002 | ETA 05:15:51 2020-12-17 04:25:37 [INFO] [TRAIN] epoch=32, iter=20670/40000, loss=0.3449, lr=0.005197, batch_cost=0.9012, reader_cost=0.0001 | ETA 04:50:21 2020-12-17 04:25:46 [INFO] [TRAIN] epoch=32, iter=20680/40000, loss=0.3234, lr=0.005195, batch_cost=0.9433, reader_cost=0.0001 | ETA 05:03:44 2020-12-17 04:25:56 [INFO] [TRAIN] epoch=32, iter=20690/40000, loss=0.3035, lr=0.005192, batch_cost=0.9090, reader_cost=0.0002 | ETA 04:52:32 2020-12-17 04:26:06 [INFO] [TRAIN] epoch=32, iter=20700/40000, loss=0.3735, lr=0.005190, batch_cost=1.0460, reader_cost=0.0001 | ETA 05:36:28 2020-12-17 04:26:15 [INFO] [TRAIN] epoch=32, iter=20710/40000, loss=0.3458, lr=0.005188, batch_cost=0.8951, reader_cost=0.0001 | ETA 04:47:47 2020-12-17 04:26:23 [INFO] [TRAIN] epoch=32, iter=20720/40000, loss=0.2435, lr=0.005185, batch_cost=0.8133, reader_cost=0.0001 | ETA 04:21:20 2020-12-17 04:26:31 [INFO] [TRAIN] epoch=32, iter=20730/40000, loss=0.2349, lr=0.005183, batch_cost=0.7860, reader_cost=0.0001 | ETA 04:12:25 2020-12-17 04:26:38 [INFO] [TRAIN] epoch=32, iter=20740/40000, loss=0.3073, lr=0.005180, batch_cost=0.7190, reader_cost=0.0001 | ETA 03:50:48 2020-12-17 04:26:46 [INFO] [TRAIN] epoch=32, iter=20750/40000, loss=0.1832, lr=0.005178, batch_cost=0.7866, reader_cost=0.0001 | ETA 04:12:22 2020-12-17 04:26:55 [INFO] [TRAIN] epoch=32, iter=20760/40000, loss=0.2587, lr=0.005175, batch_cost=0.8555, reader_cost=0.0001 | ETA 04:34:19 2020-12-17 04:27:05 [INFO] [TRAIN] epoch=32, iter=20770/40000, loss=0.2701, lr=0.005173, batch_cost=1.0391, reader_cost=0.0002 | ETA 05:33:02 2020-12-17 04:27:16 [INFO] [TRAIN] epoch=32, iter=20780/40000, loss=0.3550, lr=0.005171, batch_cost=1.0964, reader_cost=0.0002 | ETA 05:51:13 2020-12-17 04:27:25 [INFO] [TRAIN] epoch=32, iter=20790/40000, loss=0.4039, lr=0.005168, batch_cost=0.8663, reader_cost=0.0014 | ETA 04:37:22 2020-12-17 04:27:34 [INFO] [TRAIN] epoch=32, iter=20800/40000, loss=0.3290, lr=0.005166, batch_cost=0.9427, reader_cost=0.0002 | ETA 05:01:39 2020-12-17 04:27:44 [INFO] [TRAIN] epoch=32, iter=20810/40000, loss=0.2887, lr=0.005163, batch_cost=0.9804, reader_cost=0.0002 | ETA 05:13:34 2020-12-17 04:27:54 [INFO] [TRAIN] epoch=32, iter=20820/40000, loss=0.3142, lr=0.005161, batch_cost=0.9729, reader_cost=0.0014 | ETA 05:11:00 2020-12-17 04:28:04 [INFO] [TRAIN] epoch=32, iter=20830/40000, loss=0.2725, lr=0.005159, batch_cost=1.0400, reader_cost=0.0002 | ETA 05:32:17 2020-12-17 04:28:14 [INFO] [TRAIN] epoch=32, iter=20840/40000, loss=0.2431, lr=0.005156, batch_cost=0.9799, reader_cost=0.0012 | ETA 05:12:55 2020-12-17 04:28:23 [INFO] [TRAIN] epoch=32, iter=20850/40000, loss=0.2836, lr=0.005154, batch_cost=0.9305, reader_cost=0.0002 | ETA 04:56:59 2020-12-17 04:28:32 [INFO] [TRAIN] epoch=32, iter=20860/40000, loss=0.2972, lr=0.005151, batch_cost=0.8988, reader_cost=0.0002 | ETA 04:46:43 2020-12-17 04:28:41 [INFO] [TRAIN] epoch=32, iter=20870/40000, loss=0.2390, lr=0.005149, batch_cost=0.9064, reader_cost=0.0002 | ETA 04:48:58 2020-12-17 04:28:51 [INFO] [TRAIN] epoch=32, iter=20880/40000, loss=0.2507, lr=0.005146, batch_cost=0.9972, reader_cost=0.0001 | ETA 05:17:47 2020-12-17 04:29:00 [INFO] [TRAIN] epoch=32, iter=20890/40000, loss=0.4033, lr=0.005144, batch_cost=0.8918, reader_cost=0.0001 | ETA 04:44:03 2020-12-17 04:29:10 [INFO] [TRAIN] epoch=32, iter=20900/40000, loss=0.4588, lr=0.005142, batch_cost=0.9731, reader_cost=0.0010 | ETA 05:09:46 2020-12-17 04:29:19 [INFO] [TRAIN] epoch=32, iter=20910/40000, loss=0.3941, lr=0.005139, batch_cost=0.8823, reader_cost=0.0001 | ETA 04:40:42 2020-12-17 04:29:28 [INFO] [TRAIN] epoch=32, iter=20920/40000, loss=0.3180, lr=0.005137, batch_cost=0.9327, reader_cost=0.0001 | ETA 04:56:36 2020-12-17 04:29:37 [INFO] [TRAIN] epoch=32, iter=20930/40000, loss=0.2543, lr=0.005134, batch_cost=0.8890, reader_cost=0.0002 | ETA 04:42:33 2020-12-17 04:29:46 [INFO] [TRAIN] epoch=32, iter=20940/40000, loss=0.3565, lr=0.005132, batch_cost=0.9174, reader_cost=0.0001 | ETA 04:51:26 2020-12-17 04:29:56 [INFO] [TRAIN] epoch=32, iter=20950/40000, loss=0.3876, lr=0.005129, batch_cost=1.0333, reader_cost=0.0001 | ETA 05:28:03 2020-12-17 04:30:07 [INFO] [TRAIN] epoch=32, iter=20960/40000, loss=0.3055, lr=0.005127, batch_cost=1.0491, reader_cost=0.0002 | ETA 05:32:54 2020-12-17 04:30:16 [INFO] [TRAIN] epoch=32, iter=20970/40000, loss=0.2907, lr=0.005125, batch_cost=0.9451, reader_cost=0.0002 | ETA 04:59:44 2020-12-17 04:30:25 [INFO] [TRAIN] epoch=32, iter=20980/40000, loss=0.2786, lr=0.005122, batch_cost=0.9085, reader_cost=0.0002 | ETA 04:47:58 2020-12-17 04:30:35 [INFO] [TRAIN] epoch=32, iter=20990/40000, loss=0.2111, lr=0.005120, batch_cost=0.9275, reader_cost=0.0002 | ETA 04:53:50 2020-12-17 04:30:44 [INFO] [TRAIN] epoch=32, iter=21000/40000, loss=0.2284, lr=0.005117, batch_cost=0.9595, reader_cost=0.0002 | ETA 05:03:50 2020-12-17 04:30:44 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 04:31:36 [INFO] [EVAL] #Images=1449 mIoU=0.7362 Acc=0.9412 Kappa=0.8718 2020-12-17 04:31:36 [INFO] [EVAL] Class IoU: [0.9389 0.8826 0.3881 0.8532 0.6431 0.7625 0.8759 0.8331 0.8746 0.4129 0.7755 0.5843 0.7547 0.7595 0.7996 0.8642 0.5893 0.731 0.5912 0.8262 0.7201] 2020-12-17 04:31:36 [INFO] [EVAL] Class Acc: [0.9703 0.9144 0.4251 0.9316 0.7506 0.8285 0.9779 0.8988 0.9435 0.7015 0.8643 0.8896 0.7816 0.783 0.8484 0.9464 0.8529 0.9667 0.6679 0.8848 0.9825] 2020-12-17 04:31:45 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 04:31:54 [INFO] [TRAIN] epoch=32, iter=21010/40000, loss=0.2464, lr=0.005115, batch_cost=0.9476, reader_cost=0.0002 | ETA 04:59:54 2020-12-17 04:32:03 [INFO] [TRAIN] epoch=32, iter=21020/40000, loss=0.2790, lr=0.005112, batch_cost=0.8898, reader_cost=0.0008 | ETA 04:41:28 2020-12-17 04:32:12 [INFO] [TRAIN] epoch=32, iter=21030/40000, loss=0.2264, lr=0.005110, batch_cost=0.8318, reader_cost=0.0001 | ETA 04:22:59 2020-12-17 04:32:19 [INFO] [TRAIN] epoch=32, iter=21040/40000, loss=0.2350, lr=0.005108, batch_cost=0.7295, reader_cost=0.0001 | ETA 03:50:31 2020-12-17 04:32:27 [INFO] [TRAIN] epoch=32, iter=21050/40000, loss=0.2325, lr=0.005105, batch_cost=0.7728, reader_cost=0.0005 | ETA 04:04:03 2020-12-17 04:32:35 [INFO] [TRAIN] epoch=32, iter=21060/40000, loss=0.2167, lr=0.005103, batch_cost=0.8090, reader_cost=0.0001 | ETA 04:15:22 2020-12-17 04:32:42 [INFO] [TRAIN] epoch=32, iter=21070/40000, loss=0.2902, lr=0.005100, batch_cost=0.7509, reader_cost=0.0001 | ETA 03:56:54 2020-12-17 04:32:51 [INFO] [TRAIN] epoch=32, iter=21080/40000, loss=0.2599, lr=0.005098, batch_cost=0.9018, reader_cost=0.0001 | ETA 04:44:21 2020-12-17 04:33:01 [INFO] [TRAIN] epoch=32, iter=21090/40000, loss=0.2686, lr=0.005096, batch_cost=0.9237, reader_cost=0.0001 | ETA 04:51:07 2020-12-17 04:33:09 [INFO] [TRAIN] epoch=32, iter=21100/40000, loss=0.3234, lr=0.005093, batch_cost=0.8534, reader_cost=0.0001 | ETA 04:28:49 2020-12-17 04:33:19 [INFO] [TRAIN] epoch=32, iter=21110/40000, loss=0.3801, lr=0.005091, batch_cost=0.9582, reader_cost=0.0001 | ETA 05:01:39 2020-12-17 04:33:29 [INFO] [TRAIN] epoch=32, iter=21120/40000, loss=0.4391, lr=0.005088, batch_cost=0.9853, reader_cost=0.0002 | ETA 05:10:01 2020-12-17 04:33:38 [INFO] [TRAIN] epoch=32, iter=21130/40000, loss=0.3692, lr=0.005086, batch_cost=0.9795, reader_cost=0.0008 | ETA 05:08:03 2020-12-17 04:33:48 [INFO] [TRAIN] epoch=32, iter=21140/40000, loss=0.3068, lr=0.005083, batch_cost=0.9558, reader_cost=0.0002 | ETA 05:00:27 2020-12-17 04:33:57 [INFO] [TRAIN] epoch=32, iter=21150/40000, loss=0.4001, lr=0.005081, batch_cost=0.9512, reader_cost=0.0002 | ETA 04:58:50 2020-12-17 04:34:07 [INFO] [TRAIN] epoch=33, iter=21160/40000, loss=0.3155, lr=0.005079, batch_cost=0.9561, reader_cost=0.0272 | ETA 05:00:12 2020-12-17 04:34:16 [INFO] [TRAIN] epoch=33, iter=21170/40000, loss=0.2387, lr=0.005076, batch_cost=0.8569, reader_cost=0.0002 | ETA 04:28:54 2020-12-17 04:34:25 [INFO] [TRAIN] epoch=33, iter=21180/40000, loss=0.1689, lr=0.005074, batch_cost=0.9941, reader_cost=0.0002 | ETA 05:11:48 2020-12-17 04:34:35 [INFO] [TRAIN] epoch=33, iter=21190/40000, loss=0.1893, lr=0.005071, batch_cost=0.9338, reader_cost=0.0001 | ETA 04:52:45 2020-12-17 04:34:44 [INFO] [TRAIN] epoch=33, iter=21200/40000, loss=0.4494, lr=0.005069, batch_cost=0.9550, reader_cost=0.0010 | ETA 04:59:14 2020-12-17 04:34:54 [INFO] [TRAIN] epoch=33, iter=21210/40000, loss=0.1942, lr=0.005066, batch_cost=0.9747, reader_cost=0.0002 | ETA 05:05:14 2020-12-17 04:35:03 [INFO] [TRAIN] epoch=33, iter=21220/40000, loss=0.2442, lr=0.005064, batch_cost=0.9386, reader_cost=0.0001 | ETA 04:53:47 2020-12-17 04:35:12 [INFO] [TRAIN] epoch=33, iter=21230/40000, loss=0.2008, lr=0.005062, batch_cost=0.8979, reader_cost=0.0002 | ETA 04:40:52 2020-12-17 04:35:21 [INFO] [TRAIN] epoch=33, iter=21240/40000, loss=0.3314, lr=0.005059, batch_cost=0.8125, reader_cost=0.0001 | ETA 04:14:01 2020-12-17 04:35:29 [INFO] [TRAIN] epoch=33, iter=21250/40000, loss=0.3311, lr=0.005057, batch_cost=0.8005, reader_cost=0.0002 | ETA 04:10:09 2020-12-17 04:35:39 [INFO] [TRAIN] epoch=33, iter=21260/40000, loss=0.1771, lr=0.005054, batch_cost=0.9961, reader_cost=0.0002 | ETA 05:11:06 2020-12-17 04:35:48 [INFO] [TRAIN] epoch=33, iter=21270/40000, loss=0.3040, lr=0.005052, batch_cost=0.9276, reader_cost=0.0002 | ETA 04:49:34 2020-12-17 04:35:58 [INFO] [TRAIN] epoch=33, iter=21280/40000, loss=0.2242, lr=0.005049, batch_cost=0.9728, reader_cost=0.0008 | ETA 05:03:30 2020-12-17 04:36:07 [INFO] [TRAIN] epoch=33, iter=21290/40000, loss=0.2403, lr=0.005047, batch_cost=0.9545, reader_cost=0.0011 | ETA 04:57:37 2020-12-17 04:36:17 [INFO] [TRAIN] epoch=33, iter=21300/40000, loss=0.2237, lr=0.005045, batch_cost=1.0375, reader_cost=0.0002 | ETA 05:23:21 2020-12-17 04:36:28 [INFO] [TRAIN] epoch=33, iter=21310/40000, loss=0.3765, lr=0.005042, batch_cost=1.0181, reader_cost=0.0002 | ETA 05:17:08 2020-12-17 04:36:36 [INFO] [TRAIN] epoch=33, iter=21320/40000, loss=0.1940, lr=0.005040, batch_cost=0.8474, reader_cost=0.0001 | ETA 04:23:49 2020-12-17 04:36:45 [INFO] [TRAIN] epoch=33, iter=21330/40000, loss=0.2126, lr=0.005037, batch_cost=0.8839, reader_cost=0.0002 | ETA 04:35:01 2020-12-17 04:36:54 [INFO] [TRAIN] epoch=33, iter=21340/40000, loss=0.2102, lr=0.005035, batch_cost=0.8564, reader_cost=0.0001 | ETA 04:26:20 2020-12-17 04:37:03 [INFO] [TRAIN] epoch=33, iter=21350/40000, loss=0.2918, lr=0.005032, batch_cost=0.9408, reader_cost=0.0014 | ETA 04:52:26 2020-12-17 04:37:12 [INFO] [TRAIN] epoch=33, iter=21360/40000, loss=0.1815, lr=0.005030, batch_cost=0.9343, reader_cost=0.0001 | ETA 04:50:15 2020-12-17 04:37:21 [INFO] [TRAIN] epoch=33, iter=21370/40000, loss=0.1556, lr=0.005028, batch_cost=0.8861, reader_cost=0.0001 | ETA 04:35:08 2020-12-17 04:37:30 [INFO] [TRAIN] epoch=33, iter=21380/40000, loss=0.2713, lr=0.005025, batch_cost=0.8668, reader_cost=0.0001 | ETA 04:28:58 2020-12-17 04:37:38 [INFO] [TRAIN] epoch=33, iter=21390/40000, loss=0.2132, lr=0.005023, batch_cost=0.8615, reader_cost=0.0001 | ETA 04:27:13 2020-12-17 04:37:48 [INFO] [TRAIN] epoch=33, iter=21400/40000, loss=0.2475, lr=0.005020, batch_cost=0.9113, reader_cost=0.0001 | ETA 04:42:29 2020-12-17 04:37:57 [INFO] [TRAIN] epoch=33, iter=21410/40000, loss=0.3059, lr=0.005018, batch_cost=0.9461, reader_cost=0.0001 | ETA 04:53:08 2020-12-17 04:38:06 [INFO] [TRAIN] epoch=33, iter=21420/40000, loss=0.4357, lr=0.005015, batch_cost=0.8594, reader_cost=0.0010 | ETA 04:26:08 2020-12-17 04:38:14 [INFO] [TRAIN] epoch=33, iter=21430/40000, loss=0.2954, lr=0.005013, batch_cost=0.8709, reader_cost=0.0002 | ETA 04:29:31 2020-12-17 04:38:22 [INFO] [TRAIN] epoch=33, iter=21440/40000, loss=0.2879, lr=0.005011, batch_cost=0.7870, reader_cost=0.0001 | ETA 04:03:26 2020-12-17 04:38:30 [INFO] [TRAIN] epoch=33, iter=21450/40000, loss=0.3590, lr=0.005008, batch_cost=0.8132, reader_cost=0.0001 | ETA 04:11:25 2020-12-17 04:38:38 [INFO] [TRAIN] epoch=33, iter=21460/40000, loss=0.4609, lr=0.005006, batch_cost=0.8136, reader_cost=0.0001 | ETA 04:11:23 2020-12-17 04:38:45 [INFO] [TRAIN] epoch=33, iter=21470/40000, loss=0.3781, lr=0.005003, batch_cost=0.7012, reader_cost=0.0001 | ETA 03:36:33 2020-12-17 04:38:54 [INFO] [TRAIN] epoch=33, iter=21480/40000, loss=0.1950, lr=0.005001, batch_cost=0.8060, reader_cost=0.0001 | ETA 04:08:46 2020-12-17 04:39:02 [INFO] [TRAIN] epoch=33, iter=21490/40000, loss=0.2379, lr=0.004998, batch_cost=0.8403, reader_cost=0.0001 | ETA 04:19:14 2020-12-17 04:39:11 [INFO] [TRAIN] epoch=33, iter=21500/40000, loss=0.3772, lr=0.004996, batch_cost=0.9481, reader_cost=0.0001 | ETA 04:52:19 2020-12-17 04:39:20 [INFO] [TRAIN] epoch=33, iter=21510/40000, loss=0.3527, lr=0.004994, batch_cost=0.9042, reader_cost=0.0002 | ETA 04:38:37 2020-12-17 04:39:30 [INFO] [TRAIN] epoch=33, iter=21520/40000, loss=0.2492, lr=0.004991, batch_cost=0.9265, reader_cost=0.0002 | ETA 04:45:21 2020-12-17 04:39:39 [INFO] [TRAIN] epoch=33, iter=21530/40000, loss=0.2452, lr=0.004989, batch_cost=0.8930, reader_cost=0.0002 | ETA 04:34:53 2020-12-17 04:39:48 [INFO] [TRAIN] epoch=33, iter=21540/40000, loss=0.2165, lr=0.004986, batch_cost=0.9685, reader_cost=0.0001 | ETA 04:57:58 2020-12-17 04:39:59 [INFO] [TRAIN] epoch=33, iter=21550/40000, loss=0.2951, lr=0.004984, batch_cost=1.0399, reader_cost=0.0002 | ETA 05:19:45 2020-12-17 04:40:09 [INFO] [TRAIN] epoch=33, iter=21560/40000, loss=0.2763, lr=0.004981, batch_cost=0.9760, reader_cost=0.0002 | ETA 04:59:58 2020-12-17 04:40:18 [INFO] [TRAIN] epoch=33, iter=21570/40000, loss=0.2453, lr=0.004979, batch_cost=0.9461, reader_cost=0.0001 | ETA 04:50:36 2020-12-17 04:40:28 [INFO] [TRAIN] epoch=33, iter=21580/40000, loss=0.4328, lr=0.004977, batch_cost=0.9616, reader_cost=0.0002 | ETA 04:55:12 2020-12-17 04:40:36 [INFO] [TRAIN] epoch=33, iter=21590/40000, loss=0.1791, lr=0.004974, batch_cost=0.8465, reader_cost=0.0002 | ETA 04:19:43 2020-12-17 04:40:45 [INFO] [TRAIN] epoch=33, iter=21600/40000, loss=0.2429, lr=0.004972, batch_cost=0.9243, reader_cost=0.0001 | ETA 04:43:27 2020-12-17 04:40:55 [INFO] [TRAIN] epoch=33, iter=21610/40000, loss=0.2267, lr=0.004969, batch_cost=0.9542, reader_cost=0.0002 | ETA 04:52:28 2020-12-17 04:41:04 [INFO] [TRAIN] epoch=33, iter=21620/40000, loss=0.2822, lr=0.004967, batch_cost=0.8848, reader_cost=0.0002 | ETA 04:31:01 2020-12-17 04:41:14 [INFO] [TRAIN] epoch=33, iter=21630/40000, loss=0.3065, lr=0.004964, batch_cost=0.9822, reader_cost=0.0002 | ETA 05:00:42 2020-12-17 04:41:23 [INFO] [TRAIN] epoch=33, iter=21640/40000, loss=0.3005, lr=0.004962, batch_cost=0.9530, reader_cost=0.0032 | ETA 04:51:37 2020-12-17 04:41:34 [INFO] [TRAIN] epoch=33, iter=21650/40000, loss=0.2829, lr=0.004960, batch_cost=1.1269, reader_cost=0.0002 | ETA 05:44:37 2020-12-17 04:41:44 [INFO] [TRAIN] epoch=33, iter=21660/40000, loss=0.2310, lr=0.004957, batch_cost=0.9597, reader_cost=0.0018 | ETA 04:53:20 2020-12-17 04:41:53 [INFO] [TRAIN] epoch=33, iter=21670/40000, loss=0.1693, lr=0.004955, batch_cost=0.9260, reader_cost=0.0002 | ETA 04:42:53 2020-12-17 04:42:03 [INFO] [TRAIN] epoch=33, iter=21680/40000, loss=0.2361, lr=0.004952, batch_cost=0.9412, reader_cost=0.0002 | ETA 04:47:22 2020-12-17 04:42:11 [INFO] [TRAIN] epoch=33, iter=21690/40000, loss=0.2400, lr=0.004950, batch_cost=0.8241, reader_cost=0.0014 | ETA 04:11:29 2020-12-17 04:42:20 [INFO] [TRAIN] epoch=33, iter=21700/40000, loss=0.3063, lr=0.004947, batch_cost=0.9441, reader_cost=0.0001 | ETA 04:47:56 2020-12-17 04:42:29 [INFO] [TRAIN] epoch=33, iter=21710/40000, loss=0.3940, lr=0.004945, batch_cost=0.9061, reader_cost=0.0014 | ETA 04:36:12 2020-12-17 04:42:39 [INFO] [TRAIN] epoch=33, iter=21720/40000, loss=0.3152, lr=0.004942, batch_cost=0.9176, reader_cost=0.0002 | ETA 04:39:33 2020-12-17 04:42:49 [INFO] [TRAIN] epoch=33, iter=21730/40000, loss=0.3195, lr=0.004940, batch_cost=1.0027, reader_cost=0.0002 | ETA 05:05:19 2020-12-17 04:42:58 [INFO] [TRAIN] epoch=33, iter=21740/40000, loss=0.2871, lr=0.004938, batch_cost=0.9278, reader_cost=0.0014 | ETA 04:42:21 2020-12-17 04:43:07 [INFO] [TRAIN] epoch=33, iter=21750/40000, loss=0.3138, lr=0.004935, batch_cost=0.9278, reader_cost=0.0001 | ETA 04:42:12 2020-12-17 04:43:16 [INFO] [TRAIN] epoch=33, iter=21760/40000, loss=0.3193, lr=0.004933, batch_cost=0.8784, reader_cost=0.0001 | ETA 04:27:02 2020-12-17 04:43:25 [INFO] [TRAIN] epoch=33, iter=21770/40000, loss=0.2671, lr=0.004930, batch_cost=0.8946, reader_cost=0.0014 | ETA 04:31:48 2020-12-17 04:43:33 [INFO] [TRAIN] epoch=33, iter=21780/40000, loss=0.3459, lr=0.004928, batch_cost=0.8526, reader_cost=0.0012 | ETA 04:18:53 2020-12-17 04:43:42 [INFO] [TRAIN] epoch=33, iter=21790/40000, loss=0.2597, lr=0.004925, batch_cost=0.8553, reader_cost=0.0002 | ETA 04:19:34 2020-12-17 04:43:51 [INFO] [TRAIN] epoch=33, iter=21800/40000, loss=0.3593, lr=0.004923, batch_cost=0.9131, reader_cost=0.0002 | ETA 04:36:58 2020-12-17 04:43:59 [INFO] [TRAIN] epoch=33, iter=21810/40000, loss=0.2307, lr=0.004921, batch_cost=0.8295, reader_cost=0.0001 | ETA 04:11:29 2020-12-17 04:44:10 [INFO] [TRAIN] epoch=34, iter=21820/40000, loss=0.2190, lr=0.004918, batch_cost=1.0312, reader_cost=0.0322 | ETA 05:12:26 2020-12-17 04:44:20 [INFO] [TRAIN] epoch=34, iter=21830/40000, loss=0.2658, lr=0.004916, batch_cost=1.0184, reader_cost=0.0002 | ETA 05:08:24 2020-12-17 04:44:27 [INFO] [TRAIN] epoch=34, iter=21840/40000, loss=0.2891, lr=0.004913, batch_cost=0.7113, reader_cost=0.0001 | ETA 03:35:17 2020-12-17 04:44:35 [INFO] [TRAIN] epoch=34, iter=21850/40000, loss=0.2882, lr=0.004911, batch_cost=0.7909, reader_cost=0.0001 | ETA 03:59:14 2020-12-17 04:44:43 [INFO] [TRAIN] epoch=34, iter=21860/40000, loss=0.2096, lr=0.004908, batch_cost=0.7857, reader_cost=0.0001 | ETA 03:57:32 2020-12-17 04:44:50 [INFO] [TRAIN] epoch=34, iter=21870/40000, loss=0.3128, lr=0.004906, batch_cost=0.7465, reader_cost=0.0001 | ETA 03:45:33 2020-12-17 04:44:59 [INFO] [TRAIN] epoch=34, iter=21880/40000, loss=0.3175, lr=0.004904, batch_cost=0.8520, reader_cost=0.0001 | ETA 04:17:18 2020-12-17 04:45:07 [INFO] [TRAIN] epoch=34, iter=21890/40000, loss=0.2612, lr=0.004901, batch_cost=0.8673, reader_cost=0.0003 | ETA 04:21:46 2020-12-17 04:45:17 [INFO] [TRAIN] epoch=34, iter=21900/40000, loss=0.2961, lr=0.004899, batch_cost=0.9605, reader_cost=0.0002 | ETA 04:49:44 2020-12-17 04:45:27 [INFO] [TRAIN] epoch=34, iter=21910/40000, loss=0.3974, lr=0.004896, batch_cost=1.0249, reader_cost=0.0002 | ETA 05:08:59 2020-12-17 04:45:37 [INFO] [TRAIN] epoch=34, iter=21920/40000, loss=0.2575, lr=0.004894, batch_cost=0.9579, reader_cost=0.0001 | ETA 04:48:38 2020-12-17 04:45:46 [INFO] [TRAIN] epoch=34, iter=21930/40000, loss=0.2444, lr=0.004891, batch_cost=0.8778, reader_cost=0.0001 | ETA 04:24:21 2020-12-17 04:45:56 [INFO] [TRAIN] epoch=34, iter=21940/40000, loss=0.2291, lr=0.004889, batch_cost=0.9971, reader_cost=0.0001 | ETA 05:00:07 2020-12-17 04:46:04 [INFO] [TRAIN] epoch=34, iter=21950/40000, loss=0.3839, lr=0.004886, batch_cost=0.8583, reader_cost=0.0001 | ETA 04:18:12 2020-12-17 04:46:13 [INFO] [TRAIN] epoch=34, iter=21960/40000, loss=0.2287, lr=0.004884, batch_cost=0.8764, reader_cost=0.0002 | ETA 04:23:30 2020-12-17 04:46:21 [INFO] [TRAIN] epoch=34, iter=21970/40000, loss=0.2542, lr=0.004882, batch_cost=0.8454, reader_cost=0.0001 | ETA 04:14:01 2020-12-17 04:46:31 [INFO] [TRAIN] epoch=34, iter=21980/40000, loss=0.3491, lr=0.004879, batch_cost=1.0091, reader_cost=0.0002 | ETA 05:03:03 2020-12-17 04:46:40 [INFO] [TRAIN] epoch=34, iter=21990/40000, loss=0.2010, lr=0.004877, batch_cost=0.8419, reader_cost=0.0002 | ETA 04:12:42 2020-12-17 04:46:49 [INFO] [TRAIN] epoch=34, iter=22000/40000, loss=0.2965, lr=0.004874, batch_cost=0.9120, reader_cost=0.0009 | ETA 04:33:36 2020-12-17 04:46:49 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 04:47:37 [INFO] [EVAL] #Images=1449 mIoU=0.7421 Acc=0.9414 Kappa=0.8707 2020-12-17 04:47:37 [INFO] [EVAL] Class IoU: [0.9356 0.8766 0.3905 0.8774 0.6488 0.66 0.8813 0.8901 0.8735 0.4083 0.8241 0.5791 0.8264 0.8017 0.7705 0.8553 0.6764 0.7603 0.5097 0.806 0.732 ] 2020-12-17 04:47:37 [INFO] [EVAL] Class Acc: [0.9634 0.96 0.4066 0.9312 0.6995 0.9002 0.9043 0.9625 0.9541 0.7996 0.9021 0.7958 0.8941 0.8578 0.7891 0.9387 0.8154 0.9422 0.8567 0.8479 0.8722] 2020-12-17 04:47:46 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 04:47:56 [INFO] [TRAIN] epoch=34, iter=22010/40000, loss=0.2764, lr=0.004872, batch_cost=0.9202, reader_cost=0.0002 | ETA 04:35:55 2020-12-17 04:48:05 [INFO] [TRAIN] epoch=34, iter=22020/40000, loss=0.2653, lr=0.004869, batch_cost=0.9458, reader_cost=0.0001 | ETA 04:43:24 2020-12-17 04:48:15 [INFO] [TRAIN] epoch=34, iter=22030/40000, loss=0.1557, lr=0.004867, batch_cost=0.9491, reader_cost=0.0002 | ETA 04:44:15 2020-12-17 04:48:25 [INFO] [TRAIN] epoch=34, iter=22040/40000, loss=0.2183, lr=0.004865, batch_cost=1.0020, reader_cost=0.0002 | ETA 04:59:55 2020-12-17 04:48:34 [INFO] [TRAIN] epoch=34, iter=22050/40000, loss=0.2014, lr=0.004862, batch_cost=0.9009, reader_cost=0.0001 | ETA 04:29:30 2020-12-17 04:48:43 [INFO] [TRAIN] epoch=34, iter=22060/40000, loss=0.2681, lr=0.004860, batch_cost=0.9173, reader_cost=0.0001 | ETA 04:34:17 2020-12-17 04:48:51 [INFO] [TRAIN] epoch=34, iter=22070/40000, loss=0.2481, lr=0.004857, batch_cost=0.8500, reader_cost=0.0001 | ETA 04:14:00 2020-12-17 04:49:01 [INFO] [TRAIN] epoch=34, iter=22080/40000, loss=0.2764, lr=0.004855, batch_cost=0.9984, reader_cost=0.0002 | ETA 04:58:11 2020-12-17 04:49:10 [INFO] [TRAIN] epoch=34, iter=22090/40000, loss=0.2835, lr=0.004852, batch_cost=0.9216, reader_cost=0.0002 | ETA 04:35:05 2020-12-17 04:49:20 [INFO] [TRAIN] epoch=34, iter=22100/40000, loss=0.3005, lr=0.004850, batch_cost=0.9089, reader_cost=0.0001 | ETA 04:31:09 2020-12-17 04:49:29 [INFO] [TRAIN] epoch=34, iter=22110/40000, loss=0.2372, lr=0.004847, batch_cost=0.9707, reader_cost=0.0001 | ETA 04:49:25 2020-12-17 04:49:40 [INFO] [TRAIN] epoch=34, iter=22120/40000, loss=0.3427, lr=0.004845, batch_cost=1.0609, reader_cost=0.0001 | ETA 05:16:08 2020-12-17 04:49:49 [INFO] [TRAIN] epoch=34, iter=22130/40000, loss=0.3288, lr=0.004843, batch_cost=0.8679, reader_cost=0.0001 | ETA 04:18:29 2020-12-17 04:49:59 [INFO] [TRAIN] epoch=34, iter=22140/40000, loss=0.2335, lr=0.004840, batch_cost=1.0163, reader_cost=0.0002 | ETA 05:02:30 2020-12-17 04:50:09 [INFO] [TRAIN] epoch=34, iter=22150/40000, loss=0.3887, lr=0.004838, batch_cost=1.0263, reader_cost=0.0001 | ETA 05:05:19 2020-12-17 04:50:18 [INFO] [TRAIN] epoch=34, iter=22160/40000, loss=0.2052, lr=0.004835, batch_cost=0.9179, reader_cost=0.0033 | ETA 04:32:55 2020-12-17 04:50:27 [INFO] [TRAIN] epoch=34, iter=22170/40000, loss=0.2760, lr=0.004833, batch_cost=0.9216, reader_cost=0.0002 | ETA 04:33:52 2020-12-17 04:50:35 [INFO] [TRAIN] epoch=34, iter=22180/40000, loss=0.2571, lr=0.004830, batch_cost=0.7524, reader_cost=0.0001 | ETA 03:43:28 2020-12-17 04:50:43 [INFO] [TRAIN] epoch=34, iter=22190/40000, loss=0.3034, lr=0.004828, batch_cost=0.7783, reader_cost=0.0001 | ETA 03:51:02 2020-12-17 04:50:50 [INFO] [TRAIN] epoch=34, iter=22200/40000, loss=0.3277, lr=0.004826, batch_cost=0.7654, reader_cost=0.0001 | ETA 03:47:04 2020-12-17 04:50:58 [INFO] [TRAIN] epoch=34, iter=22210/40000, loss=0.2550, lr=0.004823, batch_cost=0.7381, reader_cost=0.0001 | ETA 03:38:51 2020-12-17 04:51:05 [INFO] [TRAIN] epoch=34, iter=22220/40000, loss=0.3364, lr=0.004821, batch_cost=0.7065, reader_cost=0.0001 | ETA 03:29:21 2020-12-17 04:51:12 [INFO] [TRAIN] epoch=34, iter=22230/40000, loss=0.4225, lr=0.004818, batch_cost=0.7509, reader_cost=0.0001 | ETA 03:42:22 2020-12-17 04:51:20 [INFO] [TRAIN] epoch=34, iter=22240/40000, loss=0.1581, lr=0.004816, batch_cost=0.8104, reader_cost=0.0001 | ETA 03:59:52 2020-12-17 04:51:29 [INFO] [TRAIN] epoch=34, iter=22250/40000, loss=0.2779, lr=0.004813, batch_cost=0.8296, reader_cost=0.0001 | ETA 04:05:26 2020-12-17 04:51:36 [INFO] [TRAIN] epoch=34, iter=22260/40000, loss=0.1828, lr=0.004811, batch_cost=0.7657, reader_cost=0.0001 | ETA 03:46:24 2020-12-17 04:51:45 [INFO] [TRAIN] epoch=34, iter=22270/40000, loss=0.2357, lr=0.004808, batch_cost=0.9025, reader_cost=0.0001 | ETA 04:26:40 2020-12-17 04:51:55 [INFO] [TRAIN] epoch=34, iter=22280/40000, loss=0.2959, lr=0.004806, batch_cost=0.9883, reader_cost=0.0002 | ETA 04:51:52 2020-12-17 04:52:05 [INFO] [TRAIN] epoch=34, iter=22290/40000, loss=0.1667, lr=0.004804, batch_cost=0.9870, reader_cost=0.0003 | ETA 04:51:20 2020-12-17 04:52:15 [INFO] [TRAIN] epoch=34, iter=22300/40000, loss=0.2340, lr=0.004801, batch_cost=0.9690, reader_cost=0.0008 | ETA 04:45:51 2020-12-17 04:52:24 [INFO] [TRAIN] epoch=34, iter=22310/40000, loss=0.2040, lr=0.004799, batch_cost=0.9589, reader_cost=0.0015 | ETA 04:42:42 2020-12-17 04:52:34 [INFO] [TRAIN] epoch=34, iter=22320/40000, loss=0.3632, lr=0.004796, batch_cost=0.9707, reader_cost=0.0002 | ETA 04:46:02 2020-12-17 04:52:45 [INFO] [TRAIN] epoch=34, iter=22330/40000, loss=0.2388, lr=0.004794, batch_cost=1.0462, reader_cost=0.0002 | ETA 05:08:07 2020-12-17 04:52:55 [INFO] [TRAIN] epoch=34, iter=22340/40000, loss=0.2949, lr=0.004791, batch_cost=1.0645, reader_cost=0.0002 | ETA 05:13:19 2020-12-17 04:53:05 [INFO] [TRAIN] epoch=34, iter=22350/40000, loss=0.2123, lr=0.004789, batch_cost=1.0162, reader_cost=0.0002 | ETA 04:58:55 2020-12-17 04:53:15 [INFO] [TRAIN] epoch=34, iter=22360/40000, loss=0.2922, lr=0.004786, batch_cost=0.9662, reader_cost=0.0002 | ETA 04:44:04 2020-12-17 04:53:24 [INFO] [TRAIN] epoch=34, iter=22370/40000, loss=0.3058, lr=0.004784, batch_cost=0.8976, reader_cost=0.0007 | ETA 04:23:44 2020-12-17 04:53:34 [INFO] [TRAIN] epoch=34, iter=22380/40000, loss=0.2444, lr=0.004782, batch_cost=0.9874, reader_cost=0.0002 | ETA 04:49:57 2020-12-17 04:53:43 [INFO] [TRAIN] epoch=34, iter=22390/40000, loss=0.3139, lr=0.004779, batch_cost=0.9018, reader_cost=0.0002 | ETA 04:24:40 2020-12-17 04:53:52 [INFO] [TRAIN] epoch=34, iter=22400/40000, loss=0.2869, lr=0.004777, batch_cost=0.9180, reader_cost=0.0002 | ETA 04:29:16 2020-12-17 04:54:02 [INFO] [TRAIN] epoch=34, iter=22410/40000, loss=0.4182, lr=0.004774, batch_cost=0.9911, reader_cost=0.0002 | ETA 04:50:34 2020-12-17 04:54:11 [INFO] [TRAIN] epoch=34, iter=22420/40000, loss=0.2736, lr=0.004772, batch_cost=0.9231, reader_cost=0.0002 | ETA 04:30:27 2020-12-17 04:54:19 [INFO] [TRAIN] epoch=34, iter=22430/40000, loss=0.5363, lr=0.004769, batch_cost=0.8256, reader_cost=0.0002 | ETA 04:01:45 2020-12-17 04:54:29 [INFO] [TRAIN] epoch=34, iter=22440/40000, loss=0.2742, lr=0.004767, batch_cost=0.9052, reader_cost=0.0002 | ETA 04:24:56 2020-12-17 04:54:38 [INFO] [TRAIN] epoch=34, iter=22450/40000, loss=0.3913, lr=0.004765, batch_cost=0.9070, reader_cost=0.0002 | ETA 04:25:17 2020-12-17 04:54:46 [INFO] [TRAIN] epoch=34, iter=22460/40000, loss=0.2125, lr=0.004762, batch_cost=0.8369, reader_cost=0.0002 | ETA 04:04:39 2020-12-17 04:54:55 [INFO] [TRAIN] epoch=34, iter=22470/40000, loss=0.2715, lr=0.004760, batch_cost=0.8944, reader_cost=0.0006 | ETA 04:21:19 2020-12-17 04:55:05 [INFO] [TRAIN] epoch=35, iter=22480/40000, loss=0.2266, lr=0.004757, batch_cost=0.9979, reader_cost=0.0348 | ETA 04:51:22 2020-12-17 04:55:15 [INFO] [TRAIN] epoch=35, iter=22490/40000, loss=0.2357, lr=0.004755, batch_cost=0.9698, reader_cost=0.0005 | ETA 04:43:01 2020-12-17 04:55:25 [INFO] [TRAIN] epoch=35, iter=22500/40000, loss=0.2597, lr=0.004752, batch_cost=1.0455, reader_cost=0.0002 | ETA 05:04:56 2020-12-17 04:55:35 [INFO] [TRAIN] epoch=35, iter=22510/40000, loss=0.2997, lr=0.004750, batch_cost=0.9525, reader_cost=0.0002 | ETA 04:37:38 2020-12-17 04:55:45 [INFO] [TRAIN] epoch=35, iter=22520/40000, loss=0.2114, lr=0.004747, batch_cost=1.0348, reader_cost=0.0002 | ETA 05:01:27 2020-12-17 04:55:53 [INFO] [TRAIN] epoch=35, iter=22530/40000, loss=0.2912, lr=0.004745, batch_cost=0.8172, reader_cost=0.0001 | ETA 03:57:57 2020-12-17 04:56:02 [INFO] [TRAIN] epoch=35, iter=22540/40000, loss=0.4246, lr=0.004743, batch_cost=0.8748, reader_cost=0.0002 | ETA 04:14:34 2020-12-17 04:56:11 [INFO] [TRAIN] epoch=35, iter=22550/40000, loss=0.2691, lr=0.004740, batch_cost=0.8932, reader_cost=0.0001 | ETA 04:19:46 2020-12-17 04:56:19 [INFO] [TRAIN] epoch=35, iter=22560/40000, loss=0.4009, lr=0.004738, batch_cost=0.8067, reader_cost=0.0001 | ETA 03:54:29 2020-12-17 04:56:27 [INFO] [TRAIN] epoch=35, iter=22570/40000, loss=0.2860, lr=0.004735, batch_cost=0.8501, reader_cost=0.0002 | ETA 04:06:57 2020-12-17 04:56:37 [INFO] [TRAIN] epoch=35, iter=22580/40000, loss=0.3389, lr=0.004733, batch_cost=0.9272, reader_cost=0.0002 | ETA 04:29:11 2020-12-17 04:56:46 [INFO] [TRAIN] epoch=35, iter=22590/40000, loss=0.2504, lr=0.004730, batch_cost=0.9770, reader_cost=0.0002 | ETA 04:43:28 2020-12-17 04:56:56 [INFO] [TRAIN] epoch=35, iter=22600/40000, loss=0.2475, lr=0.004728, batch_cost=1.0000, reader_cost=0.0002 | ETA 04:50:00 2020-12-17 04:57:05 [INFO] [TRAIN] epoch=35, iter=22610/40000, loss=0.2159, lr=0.004725, batch_cost=0.8915, reader_cost=0.0001 | ETA 04:18:23 2020-12-17 04:57:14 [INFO] [TRAIN] epoch=35, iter=22620/40000, loss=0.2392, lr=0.004723, batch_cost=0.8199, reader_cost=0.0001 | ETA 03:57:30 2020-12-17 04:57:21 [INFO] [TRAIN] epoch=35, iter=22630/40000, loss=0.2484, lr=0.004721, batch_cost=0.7625, reader_cost=0.0001 | ETA 03:40:44 2020-12-17 04:57:29 [INFO] [TRAIN] epoch=35, iter=22640/40000, loss=0.2491, lr=0.004718, batch_cost=0.7433, reader_cost=0.0001 | ETA 03:35:04 2020-12-17 04:57:38 [INFO] [TRAIN] epoch=35, iter=22650/40000, loss=0.2485, lr=0.004716, batch_cost=0.9106, reader_cost=0.0001 | ETA 04:23:18 2020-12-17 04:57:47 [INFO] [TRAIN] epoch=35, iter=22660/40000, loss=0.2874, lr=0.004713, batch_cost=0.9229, reader_cost=0.0014 | ETA 04:26:42 2020-12-17 04:57:56 [INFO] [TRAIN] epoch=35, iter=22670/40000, loss=0.2726, lr=0.004711, batch_cost=0.9153, reader_cost=0.0001 | ETA 04:24:22 2020-12-17 04:58:06 [INFO] [TRAIN] epoch=35, iter=22680/40000, loss=0.3417, lr=0.004708, batch_cost=0.9833, reader_cost=0.0001 | ETA 04:43:50 2020-12-17 04:58:15 [INFO] [TRAIN] epoch=35, iter=22690/40000, loss=0.3574, lr=0.004706, batch_cost=0.9465, reader_cost=0.0014 | ETA 04:33:04 2020-12-17 04:58:25 [INFO] [TRAIN] epoch=35, iter=22700/40000, loss=0.3146, lr=0.004703, batch_cost=0.9454, reader_cost=0.0012 | ETA 04:32:34 2020-12-17 04:58:34 [INFO] [TRAIN] epoch=35, iter=22710/40000, loss=0.2247, lr=0.004701, batch_cost=0.9348, reader_cost=0.0002 | ETA 04:29:23 2020-12-17 04:58:44 [INFO] [TRAIN] epoch=35, iter=22720/40000, loss=0.3919, lr=0.004698, batch_cost=0.9746, reader_cost=0.0002 | ETA 04:40:41 2020-12-17 04:58:53 [INFO] [TRAIN] epoch=35, iter=22730/40000, loss=0.2962, lr=0.004696, batch_cost=0.9577, reader_cost=0.0002 | ETA 04:35:38 2020-12-17 04:59:02 [INFO] [TRAIN] epoch=35, iter=22740/40000, loss=0.3369, lr=0.004694, batch_cost=0.8297, reader_cost=0.0001 | ETA 03:58:41 2020-12-17 04:59:12 [INFO] [TRAIN] epoch=35, iter=22750/40000, loss=0.2969, lr=0.004691, batch_cost=1.0153, reader_cost=0.0002 | ETA 04:51:54 2020-12-17 04:59:22 [INFO] [TRAIN] epoch=35, iter=22760/40000, loss=0.2924, lr=0.004689, batch_cost=0.9957, reader_cost=0.0002 | ETA 04:46:05 2020-12-17 04:59:31 [INFO] [TRAIN] epoch=35, iter=22770/40000, loss=0.2312, lr=0.004686, batch_cost=0.9480, reader_cost=0.0015 | ETA 04:32:14 2020-12-17 04:59:41 [INFO] [TRAIN] epoch=35, iter=22780/40000, loss=0.3570, lr=0.004684, batch_cost=0.9570, reader_cost=0.0002 | ETA 04:34:39 2020-12-17 04:59:50 [INFO] [TRAIN] epoch=35, iter=22790/40000, loss=0.2038, lr=0.004681, batch_cost=0.8999, reader_cost=0.0002 | ETA 04:18:07 2020-12-17 04:59:59 [INFO] [TRAIN] epoch=35, iter=22800/40000, loss=0.2731, lr=0.004679, batch_cost=0.8865, reader_cost=0.0001 | ETA 04:14:08 2020-12-17 05:00:10 [INFO] [TRAIN] epoch=35, iter=22810/40000, loss=0.3404, lr=0.004676, batch_cost=1.1137, reader_cost=0.0002 | ETA 05:19:05 2020-12-17 05:00:20 [INFO] [TRAIN] epoch=35, iter=22820/40000, loss=0.5693, lr=0.004674, batch_cost=0.9755, reader_cost=0.0002 | ETA 04:39:19 2020-12-17 05:00:30 [INFO] [TRAIN] epoch=35, iter=22830/40000, loss=0.3304, lr=0.004672, batch_cost=0.9911, reader_cost=0.0002 | ETA 04:43:37 2020-12-17 05:00:38 [INFO] [TRAIN] epoch=35, iter=22840/40000, loss=0.2184, lr=0.004669, batch_cost=0.8800, reader_cost=0.0002 | ETA 04:11:40 2020-12-17 05:00:48 [INFO] [TRAIN] epoch=35, iter=22850/40000, loss=0.3934, lr=0.004667, batch_cost=0.9868, reader_cost=0.0015 | ETA 04:42:04 2020-12-17 05:00:58 [INFO] [TRAIN] epoch=35, iter=22860/40000, loss=0.3622, lr=0.004664, batch_cost=0.9816, reader_cost=0.0001 | ETA 04:40:24 2020-12-17 05:01:07 [INFO] [TRAIN] epoch=35, iter=22870/40000, loss=0.2850, lr=0.004662, batch_cost=0.9054, reader_cost=0.0002 | ETA 04:18:28 2020-12-17 05:01:15 [INFO] [TRAIN] epoch=35, iter=22880/40000, loss=0.2049, lr=0.004659, batch_cost=0.7740, reader_cost=0.0001 | ETA 03:40:51 2020-12-17 05:01:24 [INFO] [TRAIN] epoch=35, iter=22890/40000, loss=0.2638, lr=0.004657, batch_cost=0.8833, reader_cost=0.0001 | ETA 04:11:52 2020-12-17 05:01:32 [INFO] [TRAIN] epoch=35, iter=22900/40000, loss=0.2465, lr=0.004654, batch_cost=0.8472, reader_cost=0.0015 | ETA 04:01:27 2020-12-17 05:01:40 [INFO] [TRAIN] epoch=35, iter=22910/40000, loss=0.2019, lr=0.004652, batch_cost=0.8232, reader_cost=0.0001 | ETA 03:54:29 2020-12-17 05:01:50 [INFO] [TRAIN] epoch=35, iter=22920/40000, loss=0.2676, lr=0.004650, batch_cost=0.9116, reader_cost=0.0014 | ETA 04:19:30 2020-12-17 05:01:59 [INFO] [TRAIN] epoch=35, iter=22930/40000, loss=0.2891, lr=0.004647, batch_cost=0.8957, reader_cost=0.0002 | ETA 04:14:50 2020-12-17 05:02:08 [INFO] [TRAIN] epoch=35, iter=22940/40000, loss=0.2300, lr=0.004645, batch_cost=0.9435, reader_cost=0.0001 | ETA 04:28:16 2020-12-17 05:02:18 [INFO] [TRAIN] epoch=35, iter=22950/40000, loss=0.3326, lr=0.004642, batch_cost=0.9879, reader_cost=0.0018 | ETA 04:40:43 2020-12-17 05:02:27 [INFO] [TRAIN] epoch=35, iter=22960/40000, loss=0.2757, lr=0.004640, batch_cost=0.8767, reader_cost=0.0001 | ETA 04:08:58 2020-12-17 05:02:35 [INFO] [TRAIN] epoch=35, iter=22970/40000, loss=0.3327, lr=0.004637, batch_cost=0.8773, reader_cost=0.0002 | ETA 04:08:59 2020-12-17 05:02:46 [INFO] [TRAIN] epoch=35, iter=22980/40000, loss=0.2366, lr=0.004635, batch_cost=1.0941, reader_cost=0.0002 | ETA 05:10:21 2020-12-17 05:02:55 [INFO] [TRAIN] epoch=35, iter=22990/40000, loss=0.3411, lr=0.004632, batch_cost=0.9095, reader_cost=0.0001 | ETA 04:17:49 2020-12-17 05:03:03 [INFO] [TRAIN] epoch=35, iter=23000/40000, loss=0.3117, lr=0.004630, batch_cost=0.7880, reader_cost=0.0001 | ETA 03:43:15 2020-12-17 05:03:03 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 05:03:40 [INFO] [EVAL] #Images=1449 mIoU=0.6794 Acc=0.9216 Kappa=0.8272 2020-12-17 05:03:40 [INFO] [EVAL] Class IoU: [0.921 0.8714 0.4002 0.8109 0.5281 0.3444 0.8698 0.8368 0.8701 0.2945 0.8493 0.4879 0.7956 0.8136 0.817 0.8482 0.6234 0.7405 0.1556 0.7584 0.6312] 2020-12-17 05:03:40 [INFO] [EVAL] Class Acc: [0.9559 0.9211 0.4351 0.9323 0.5779 0.3531 0.9824 0.9149 0.9376 0.3589 0.9018 0.872 0.9473 0.9508 0.9146 0.9379 0.8544 0.8565 0.6005 0.9495 0.9925] 2020-12-17 05:03:47 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 05:03:57 [INFO] [TRAIN] epoch=35, iter=23010/40000, loss=0.3519, lr=0.004627, batch_cost=0.9728, reader_cost=0.0001 | ETA 04:35:28 2020-12-17 05:04:06 [INFO] [TRAIN] epoch=35, iter=23020/40000, loss=0.3121, lr=0.004625, batch_cost=0.9330, reader_cost=0.0014 | ETA 04:24:01 2020-12-17 05:04:15 [INFO] [TRAIN] epoch=35, iter=23030/40000, loss=0.2813, lr=0.004623, batch_cost=0.8605, reader_cost=0.0002 | ETA 04:03:22 2020-12-17 05:04:25 [INFO] [TRAIN] epoch=35, iter=23040/40000, loss=0.2445, lr=0.004620, batch_cost=1.0363, reader_cost=0.0014 | ETA 04:52:55 2020-12-17 05:04:35 [INFO] [TRAIN] epoch=35, iter=23050/40000, loss=0.3151, lr=0.004618, batch_cost=1.0473, reader_cost=0.0002 | ETA 04:55:52 2020-12-17 05:04:44 [INFO] [TRAIN] epoch=35, iter=23060/40000, loss=0.2087, lr=0.004615, batch_cost=0.8605, reader_cost=0.0002 | ETA 04:02:56 2020-12-17 05:04:53 [INFO] [TRAIN] epoch=35, iter=23070/40000, loss=0.3159, lr=0.004613, batch_cost=0.9384, reader_cost=0.0002 | ETA 04:24:46 2020-12-17 05:05:03 [INFO] [TRAIN] epoch=35, iter=23080/40000, loss=0.2054, lr=0.004610, batch_cost=0.9327, reader_cost=0.0001 | ETA 04:23:02 2020-12-17 05:05:12 [INFO] [TRAIN] epoch=35, iter=23090/40000, loss=0.2524, lr=0.004608, batch_cost=0.9509, reader_cost=0.0002 | ETA 04:27:59 2020-12-17 05:05:22 [INFO] [TRAIN] epoch=35, iter=23100/40000, loss=0.1955, lr=0.004605, batch_cost=1.0018, reader_cost=0.0014 | ETA 04:42:10 2020-12-17 05:05:33 [INFO] [TRAIN] epoch=35, iter=23110/40000, loss=0.4296, lr=0.004603, batch_cost=1.0310, reader_cost=0.0001 | ETA 04:50:12 2020-12-17 05:05:42 [INFO] [TRAIN] epoch=35, iter=23120/40000, loss=0.2375, lr=0.004600, batch_cost=0.9783, reader_cost=0.0002 | ETA 04:35:12 2020-12-17 05:05:52 [INFO] [TRAIN] epoch=35, iter=23130/40000, loss=0.2545, lr=0.004598, batch_cost=1.0028, reader_cost=0.0023 | ETA 04:41:56 2020-12-17 05:06:03 [INFO] [TRAIN] epoch=36, iter=23140/40000, loss=0.2802, lr=0.004596, batch_cost=1.0237, reader_cost=0.0420 | ETA 04:47:40 2020-12-17 05:06:12 [INFO] [TRAIN] epoch=36, iter=23150/40000, loss=0.2056, lr=0.004593, batch_cost=0.8940, reader_cost=0.0002 | ETA 04:11:04 2020-12-17 05:06:20 [INFO] [TRAIN] epoch=36, iter=23160/40000, loss=0.2395, lr=0.004591, batch_cost=0.8695, reader_cost=0.0001 | ETA 04:04:02 2020-12-17 05:06:30 [INFO] [TRAIN] epoch=36, iter=23170/40000, loss=0.2615, lr=0.004588, batch_cost=1.0125, reader_cost=0.0002 | ETA 04:44:01 2020-12-17 05:06:40 [INFO] [TRAIN] epoch=36, iter=23180/40000, loss=0.5674, lr=0.004586, batch_cost=0.9885, reader_cost=0.0002 | ETA 04:37:06 2020-12-17 05:06:50 [INFO] [TRAIN] epoch=36, iter=23190/40000, loss=0.1743, lr=0.004583, batch_cost=0.9286, reader_cost=0.0001 | ETA 04:20:09 2020-12-17 05:07:00 [INFO] [TRAIN] epoch=36, iter=23200/40000, loss=0.2408, lr=0.004581, batch_cost=1.0084, reader_cost=0.0001 | ETA 04:42:20 2020-12-17 05:07:09 [INFO] [TRAIN] epoch=36, iter=23210/40000, loss=0.3232, lr=0.004578, batch_cost=0.9414, reader_cost=0.0009 | ETA 04:23:25 2020-12-17 05:07:18 [INFO] [TRAIN] epoch=36, iter=23220/40000, loss=0.2155, lr=0.004576, batch_cost=0.8407, reader_cost=0.0002 | ETA 03:55:06 2020-12-17 05:07:27 [INFO] [TRAIN] epoch=36, iter=23230/40000, loss=0.3101, lr=0.004574, batch_cost=0.9548, reader_cost=0.0002 | ETA 04:26:51 2020-12-17 05:07:37 [INFO] [TRAIN] epoch=36, iter=23240/40000, loss=0.3700, lr=0.004571, batch_cost=0.9812, reader_cost=0.0001 | ETA 04:34:05 2020-12-17 05:07:46 [INFO] [TRAIN] epoch=36, iter=23250/40000, loss=0.2391, lr=0.004569, batch_cost=0.9138, reader_cost=0.0001 | ETA 04:15:05 2020-12-17 05:07:55 [INFO] [TRAIN] epoch=36, iter=23260/40000, loss=0.3273, lr=0.004566, batch_cost=0.9191, reader_cost=0.0002 | ETA 04:16:25 2020-12-17 05:08:05 [INFO] [TRAIN] epoch=36, iter=23270/40000, loss=0.2786, lr=0.004564, batch_cost=0.9612, reader_cost=0.0001 | ETA 04:28:00 2020-12-17 05:08:14 [INFO] [TRAIN] epoch=36, iter=23280/40000, loss=0.2800, lr=0.004561, batch_cost=0.9422, reader_cost=0.0002 | ETA 04:22:32 2020-12-17 05:08:24 [INFO] [TRAIN] epoch=36, iter=23290/40000, loss=0.2483, lr=0.004559, batch_cost=0.9378, reader_cost=0.0001 | ETA 04:21:10 2020-12-17 05:08:32 [INFO] [TRAIN] epoch=36, iter=23300/40000, loss=0.2213, lr=0.004556, batch_cost=0.8681, reader_cost=0.0001 | ETA 04:01:36 2020-12-17 05:08:43 [INFO] [TRAIN] epoch=36, iter=23310/40000, loss=0.2715, lr=0.004554, batch_cost=1.0559, reader_cost=0.0011 | ETA 04:53:42 2020-12-17 05:08:54 [INFO] [TRAIN] epoch=36, iter=23320/40000, loss=0.2727, lr=0.004551, batch_cost=1.1370, reader_cost=0.0001 | ETA 05:16:05 2020-12-17 05:09:03 [INFO] [TRAIN] epoch=36, iter=23330/40000, loss=0.1997, lr=0.004549, batch_cost=0.9127, reader_cost=0.0002 | ETA 04:13:34 2020-12-17 05:09:11 [INFO] [TRAIN] epoch=36, iter=23340/40000, loss=0.3855, lr=0.004546, batch_cost=0.7973, reader_cost=0.0001 | ETA 03:41:23 2020-12-17 05:09:20 [INFO] [TRAIN] epoch=36, iter=23350/40000, loss=0.1735, lr=0.004544, batch_cost=0.8668, reader_cost=0.0001 | ETA 04:00:31 2020-12-17 05:09:28 [INFO] [TRAIN] epoch=36, iter=23360/40000, loss=0.2555, lr=0.004542, batch_cost=0.7744, reader_cost=0.0001 | ETA 03:34:45 2020-12-17 05:09:35 [INFO] [TRAIN] epoch=36, iter=23370/40000, loss=0.3060, lr=0.004539, batch_cost=0.7707, reader_cost=0.0001 | ETA 03:33:36 2020-12-17 05:09:44 [INFO] [TRAIN] epoch=36, iter=23380/40000, loss=0.2518, lr=0.004537, batch_cost=0.8295, reader_cost=0.0002 | ETA 03:49:45 2020-12-17 05:09:52 [INFO] [TRAIN] epoch=36, iter=23390/40000, loss=0.4885, lr=0.004534, batch_cost=0.8386, reader_cost=0.0001 | ETA 03:52:09 2020-12-17 05:10:01 [INFO] [TRAIN] epoch=36, iter=23400/40000, loss=0.4082, lr=0.004532, batch_cost=0.9004, reader_cost=0.0014 | ETA 04:09:07 2020-12-17 05:10:11 [INFO] [TRAIN] epoch=36, iter=23410/40000, loss=0.3178, lr=0.004529, batch_cost=1.0141, reader_cost=0.0002 | ETA 04:40:23 2020-12-17 05:10:21 [INFO] [TRAIN] epoch=36, iter=23420/40000, loss=0.2286, lr=0.004527, batch_cost=0.9392, reader_cost=0.0002 | ETA 04:19:31 2020-12-17 05:10:31 [INFO] [TRAIN] epoch=36, iter=23430/40000, loss=0.1965, lr=0.004524, batch_cost=1.0121, reader_cost=0.0002 | ETA 04:39:30 2020-12-17 05:10:41 [INFO] [TRAIN] epoch=36, iter=23440/40000, loss=0.3530, lr=0.004522, batch_cost=1.0090, reader_cost=0.0002 | ETA 04:38:28 2020-12-17 05:10:51 [INFO] [TRAIN] epoch=36, iter=23450/40000, loss=0.2353, lr=0.004519, batch_cost=0.9628, reader_cost=0.0006 | ETA 04:25:33 2020-12-17 05:11:00 [INFO] [TRAIN] epoch=36, iter=23460/40000, loss=0.2527, lr=0.004517, batch_cost=0.9656, reader_cost=0.0002 | ETA 04:26:11 2020-12-17 05:11:10 [INFO] [TRAIN] epoch=36, iter=23470/40000, loss=0.1757, lr=0.004515, batch_cost=0.9924, reader_cost=0.0001 | ETA 04:33:24 2020-12-17 05:11:20 [INFO] [TRAIN] epoch=36, iter=23480/40000, loss=0.2437, lr=0.004512, batch_cost=1.0176, reader_cost=0.0001 | ETA 04:40:11 2020-12-17 05:11:30 [INFO] [TRAIN] epoch=36, iter=23490/40000, loss=0.2507, lr=0.004510, batch_cost=0.9935, reader_cost=0.0014 | ETA 04:33:22 2020-12-17 05:11:40 [INFO] [TRAIN] epoch=36, iter=23500/40000, loss=0.2304, lr=0.004507, batch_cost=0.9565, reader_cost=0.0005 | ETA 04:23:02 2020-12-17 05:11:49 [INFO] [TRAIN] epoch=36, iter=23510/40000, loss=0.2396, lr=0.004505, batch_cost=0.9235, reader_cost=0.0002 | ETA 04:13:48 2020-12-17 05:11:58 [INFO] [TRAIN] epoch=36, iter=23520/40000, loss=0.2119, lr=0.004502, batch_cost=0.9178, reader_cost=0.0002 | ETA 04:12:05 2020-12-17 05:12:08 [INFO] [TRAIN] epoch=36, iter=23530/40000, loss=0.2951, lr=0.004500, batch_cost=0.9409, reader_cost=0.0002 | ETA 04:18:17 2020-12-17 05:12:17 [INFO] [TRAIN] epoch=36, iter=23540/40000, loss=0.1400, lr=0.004497, batch_cost=0.9487, reader_cost=0.0001 | ETA 04:20:15 2020-12-17 05:12:26 [INFO] [TRAIN] epoch=36, iter=23550/40000, loss=0.2885, lr=0.004495, batch_cost=0.9164, reader_cost=0.0001 | ETA 04:11:15 2020-12-17 05:12:35 [INFO] [TRAIN] epoch=36, iter=23560/40000, loss=0.1963, lr=0.004492, batch_cost=0.9086, reader_cost=0.0002 | ETA 04:08:56 2020-12-17 05:12:44 [INFO] [TRAIN] epoch=36, iter=23570/40000, loss=0.2702, lr=0.004490, batch_cost=0.8808, reader_cost=0.0002 | ETA 04:01:11 2020-12-17 05:12:53 [INFO] [TRAIN] epoch=36, iter=23580/40000, loss=0.2391, lr=0.004488, batch_cost=0.8707, reader_cost=0.0001 | ETA 03:58:17 2020-12-17 05:13:02 [INFO] [TRAIN] epoch=36, iter=23590/40000, loss=0.3622, lr=0.004485, batch_cost=0.9291, reader_cost=0.0014 | ETA 04:14:07 2020-12-17 05:13:13 [INFO] [TRAIN] epoch=36, iter=23600/40000, loss=0.2276, lr=0.004483, batch_cost=1.0426, reader_cost=0.0001 | ETA 04:44:58 2020-12-17 05:13:22 [INFO] [TRAIN] epoch=36, iter=23610/40000, loss=0.2188, lr=0.004480, batch_cost=0.9483, reader_cost=0.0002 | ETA 04:19:01 2020-12-17 05:13:32 [INFO] [TRAIN] epoch=36, iter=23620/40000, loss=0.2027, lr=0.004478, batch_cost=1.0097, reader_cost=0.0002 | ETA 04:35:39 2020-12-17 05:13:42 [INFO] [TRAIN] epoch=36, iter=23630/40000, loss=0.2879, lr=0.004475, batch_cost=0.9619, reader_cost=0.0002 | ETA 04:22:25 2020-12-17 05:13:52 [INFO] [TRAIN] epoch=36, iter=23640/40000, loss=0.2003, lr=0.004473, batch_cost=0.9824, reader_cost=0.0014 | ETA 04:27:52 2020-12-17 05:14:01 [INFO] [TRAIN] epoch=36, iter=23650/40000, loss=0.3108, lr=0.004470, batch_cost=0.9568, reader_cost=0.0002 | ETA 04:20:42 2020-12-17 05:14:10 [INFO] [TRAIN] epoch=36, iter=23660/40000, loss=0.2564, lr=0.004468, batch_cost=0.8890, reader_cost=0.0001 | ETA 04:02:05 2020-12-17 05:14:20 [INFO] [TRAIN] epoch=36, iter=23670/40000, loss=0.1872, lr=0.004465, batch_cost=0.9599, reader_cost=0.0002 | ETA 04:21:15 2020-12-17 05:14:29 [INFO] [TRAIN] epoch=36, iter=23680/40000, loss=0.2335, lr=0.004463, batch_cost=0.9641, reader_cost=0.0001 | ETA 04:22:14 2020-12-17 05:14:39 [INFO] [TRAIN] epoch=36, iter=23690/40000, loss=0.3055, lr=0.004460, batch_cost=0.9352, reader_cost=0.0002 | ETA 04:14:12 2020-12-17 05:14:47 [INFO] [TRAIN] epoch=36, iter=23700/40000, loss=0.2423, lr=0.004458, batch_cost=0.8456, reader_cost=0.0001 | ETA 03:49:43 2020-12-17 05:14:55 [INFO] [TRAIN] epoch=36, iter=23710/40000, loss=0.3786, lr=0.004456, batch_cost=0.8113, reader_cost=0.0001 | ETA 03:40:15 2020-12-17 05:15:04 [INFO] [TRAIN] epoch=36, iter=23720/40000, loss=0.2742, lr=0.004453, batch_cost=0.8921, reader_cost=0.0002 | ETA 04:02:03 2020-12-17 05:15:13 [INFO] [TRAIN] epoch=36, iter=23730/40000, loss=0.2446, lr=0.004451, batch_cost=0.8462, reader_cost=0.0014 | ETA 03:49:27 2020-12-17 05:15:21 [INFO] [TRAIN] epoch=36, iter=23740/40000, loss=0.2545, lr=0.004448, batch_cost=0.8321, reader_cost=0.0001 | ETA 03:45:30 2020-12-17 05:15:28 [INFO] [TRAIN] epoch=36, iter=23750/40000, loss=0.2284, lr=0.004446, batch_cost=0.7249, reader_cost=0.0001 | ETA 03:16:19 2020-12-17 05:15:36 [INFO] [TRAIN] epoch=36, iter=23760/40000, loss=0.1953, lr=0.004443, batch_cost=0.7814, reader_cost=0.0001 | ETA 03:31:30 2020-12-17 05:15:45 [INFO] [TRAIN] epoch=36, iter=23770/40000, loss=0.3223, lr=0.004441, batch_cost=0.8957, reader_cost=0.0001 | ETA 04:02:16 2020-12-17 05:15:54 [INFO] [TRAIN] epoch=36, iter=23780/40000, loss=0.1870, lr=0.004438, batch_cost=0.8986, reader_cost=0.0002 | ETA 04:02:55 2020-12-17 05:16:03 [INFO] [TRAIN] epoch=36, iter=23790/40000, loss=0.3048, lr=0.004436, batch_cost=0.9437, reader_cost=0.0001 | ETA 04:14:57 2020-12-17 05:16:13 [INFO] [TRAIN] epoch=37, iter=23800/40000, loss=0.2470, lr=0.004433, batch_cost=0.9355, reader_cost=0.0307 | ETA 04:12:34 2020-12-17 05:16:23 [INFO] [TRAIN] epoch=37, iter=23810/40000, loss=0.2113, lr=0.004431, batch_cost=0.9812, reader_cost=0.0002 | ETA 04:24:46 2020-12-17 05:16:32 [INFO] [TRAIN] epoch=37, iter=23820/40000, loss=0.2005, lr=0.004428, batch_cost=0.9322, reader_cost=0.0001 | ETA 04:11:22 2020-12-17 05:16:41 [INFO] [TRAIN] epoch=37, iter=23830/40000, loss=0.3258, lr=0.004426, batch_cost=0.8629, reader_cost=0.0001 | ETA 03:52:32 2020-12-17 05:16:49 [INFO] [TRAIN] epoch=37, iter=23840/40000, loss=0.2084, lr=0.004424, batch_cost=0.8754, reader_cost=0.0001 | ETA 03:55:46 2020-12-17 05:16:59 [INFO] [TRAIN] epoch=37, iter=23850/40000, loss=0.1614, lr=0.004421, batch_cost=0.9732, reader_cost=0.0001 | ETA 04:21:56 2020-12-17 05:17:08 [INFO] [TRAIN] epoch=37, iter=23860/40000, loss=0.2595, lr=0.004419, batch_cost=0.9326, reader_cost=0.0002 | ETA 04:10:52 2020-12-17 05:17:17 [INFO] [TRAIN] epoch=37, iter=23870/40000, loss=0.1789, lr=0.004416, batch_cost=0.8881, reader_cost=0.0002 | ETA 03:58:45 2020-12-17 05:17:27 [INFO] [TRAIN] epoch=37, iter=23880/40000, loss=0.1909, lr=0.004414, batch_cost=0.9458, reader_cost=0.0001 | ETA 04:14:06 2020-12-17 05:17:37 [INFO] [TRAIN] epoch=37, iter=23890/40000, loss=0.2487, lr=0.004411, batch_cost=1.0039, reader_cost=0.0002 | ETA 04:29:32 2020-12-17 05:17:47 [INFO] [TRAIN] epoch=37, iter=23900/40000, loss=0.1536, lr=0.004409, batch_cost=0.9979, reader_cost=0.0007 | ETA 04:27:46 2020-12-17 05:17:56 [INFO] [TRAIN] epoch=37, iter=23910/40000, loss=0.2596, lr=0.004406, batch_cost=0.9670, reader_cost=0.0001 | ETA 04:19:18 2020-12-17 05:18:07 [INFO] [TRAIN] epoch=37, iter=23920/40000, loss=0.3310, lr=0.004404, batch_cost=1.0153, reader_cost=0.0002 | ETA 04:32:06 2020-12-17 05:18:16 [INFO] [TRAIN] epoch=37, iter=23930/40000, loss=0.2488, lr=0.004401, batch_cost=0.9803, reader_cost=0.0001 | ETA 04:22:33 2020-12-17 05:18:26 [INFO] [TRAIN] epoch=37, iter=23940/40000, loss=0.1666, lr=0.004399, batch_cost=0.9194, reader_cost=0.0001 | ETA 04:06:04 2020-12-17 05:18:35 [INFO] [TRAIN] epoch=37, iter=23950/40000, loss=0.2223, lr=0.004396, batch_cost=0.9613, reader_cost=0.0003 | ETA 04:17:08 2020-12-17 05:18:45 [INFO] [TRAIN] epoch=37, iter=23960/40000, loss=0.3226, lr=0.004394, batch_cost=0.9850, reader_cost=0.0001 | ETA 04:23:18 2020-12-17 05:18:54 [INFO] [TRAIN] epoch=37, iter=23970/40000, loss=0.2358, lr=0.004391, batch_cost=0.9365, reader_cost=0.0002 | ETA 04:10:12 2020-12-17 05:19:04 [INFO] [TRAIN] epoch=37, iter=23980/40000, loss=0.1893, lr=0.004389, batch_cost=0.9483, reader_cost=0.0002 | ETA 04:13:11 2020-12-17 05:19:14 [INFO] [TRAIN] epoch=37, iter=23990/40000, loss=0.2561, lr=0.004387, batch_cost=0.9777, reader_cost=0.0001 | ETA 04:20:52 2020-12-17 05:19:25 [INFO] [TRAIN] epoch=37, iter=24000/40000, loss=0.2133, lr=0.004384, batch_cost=1.0948, reader_cost=0.0002 | ETA 04:51:57 2020-12-17 05:19:25 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 05:20:12 [INFO] [EVAL] #Images=1449 mIoU=0.7245 Acc=0.9357 Kappa=0.8600 2020-12-17 05:20:12 [INFO] [EVAL] Class IoU: [0.9311 0.8809 0.3972 0.8627 0.5081 0.7241 0.8161 0.8186 0.8746 0.4345 0.8378 0.5716 0.8189 0.8401 0.8014 0.8387 0.5379 0.6916 0.5056 0.7567 0.767 ] 2020-12-17 05:20:12 [INFO] [EVAL] Class Acc: [0.9664 0.9407 0.4195 0.9099 0.5436 0.8944 0.9845 0.8593 0.9028 0.6162 0.9404 0.8617 0.9125 0.8877 0.8508 0.9329 0.666 0.7274 0.8328 0.7691 0.9193] 2020-12-17 05:20:24 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 05:20:33 [INFO] [TRAIN] epoch=37, iter=24010/40000, loss=0.1475, lr=0.004382, batch_cost=0.9066, reader_cost=0.0002 | ETA 04:01:36 2020-12-17 05:20:42 [INFO] [TRAIN] epoch=37, iter=24020/40000, loss=0.2379, lr=0.004379, batch_cost=0.9439, reader_cost=0.0002 | ETA 04:11:24 2020-12-17 05:20:52 [INFO] [TRAIN] epoch=37, iter=24030/40000, loss=0.1946, lr=0.004377, batch_cost=0.9656, reader_cost=0.0001 | ETA 04:17:00 2020-12-17 05:20:59 [INFO] [TRAIN] epoch=37, iter=24040/40000, loss=0.2975, lr=0.004374, batch_cost=0.7190, reader_cost=0.0001 | ETA 03:11:14 2020-12-17 05:21:07 [INFO] [TRAIN] epoch=37, iter=24050/40000, loss=0.2656, lr=0.004372, batch_cost=0.8067, reader_cost=0.0001 | ETA 03:34:26 2020-12-17 05:21:14 [INFO] [TRAIN] epoch=37, iter=24060/40000, loss=0.2055, lr=0.004369, batch_cost=0.7230, reader_cost=0.0001 | ETA 03:12:04 2020-12-17 05:21:22 [INFO] [TRAIN] epoch=37, iter=24070/40000, loss=0.1557, lr=0.004367, batch_cost=0.7281, reader_cost=0.0001 | ETA 03:13:18 2020-12-17 05:21:30 [INFO] [TRAIN] epoch=37, iter=24080/40000, loss=0.2925, lr=0.004364, batch_cost=0.8014, reader_cost=0.0001 | ETA 03:32:38 2020-12-17 05:21:38 [INFO] [TRAIN] epoch=37, iter=24090/40000, loss=0.2169, lr=0.004362, batch_cost=0.8752, reader_cost=0.0001 | ETA 03:52:04 2020-12-17 05:21:49 [INFO] [TRAIN] epoch=37, iter=24100/40000, loss=0.2040, lr=0.004359, batch_cost=1.0246, reader_cost=0.0002 | ETA 04:31:30 2020-12-17 05:21:59 [INFO] [TRAIN] epoch=37, iter=24110/40000, loss=0.3215, lr=0.004357, batch_cost=0.9852, reader_cost=0.0011 | ETA 04:20:55 2020-12-17 05:22:08 [INFO] [TRAIN] epoch=37, iter=24120/40000, loss=0.2159, lr=0.004354, batch_cost=0.9661, reader_cost=0.0002 | ETA 04:15:41 2020-12-17 05:22:19 [INFO] [TRAIN] epoch=37, iter=24130/40000, loss=0.3042, lr=0.004352, batch_cost=1.0548, reader_cost=0.0002 | ETA 04:39:00 2020-12-17 05:22:29 [INFO] [TRAIN] epoch=37, iter=24140/40000, loss=0.2143, lr=0.004350, batch_cost=1.0080, reader_cost=0.0014 | ETA 04:26:27 2020-12-17 05:22:39 [INFO] [TRAIN] epoch=37, iter=24150/40000, loss=0.2675, lr=0.004347, batch_cost=1.0300, reader_cost=0.0011 | ETA 04:32:05 2020-12-17 05:22:48 [INFO] [TRAIN] epoch=37, iter=24160/40000, loss=0.3469, lr=0.004345, batch_cost=0.9114, reader_cost=0.0001 | ETA 04:00:36 2020-12-17 05:22:58 [INFO] [TRAIN] epoch=37, iter=24170/40000, loss=0.2119, lr=0.004342, batch_cost=1.0112, reader_cost=0.0002 | ETA 04:26:46 2020-12-17 05:23:08 [INFO] [TRAIN] epoch=37, iter=24180/40000, loss=0.2102, lr=0.004340, batch_cost=0.9263, reader_cost=0.0002 | ETA 04:04:14 2020-12-17 05:23:17 [INFO] [TRAIN] epoch=37, iter=24190/40000, loss=0.2204, lr=0.004337, batch_cost=0.9180, reader_cost=0.0001 | ETA 04:01:53 2020-12-17 05:23:27 [INFO] [TRAIN] epoch=37, iter=24200/40000, loss=0.3934, lr=0.004335, batch_cost=0.9715, reader_cost=0.0002 | ETA 04:15:50 2020-12-17 05:23:35 [INFO] [TRAIN] epoch=37, iter=24210/40000, loss=0.2239, lr=0.004332, batch_cost=0.8840, reader_cost=0.0002 | ETA 03:52:39 2020-12-17 05:23:44 [INFO] [TRAIN] epoch=37, iter=24220/40000, loss=0.2918, lr=0.004330, batch_cost=0.8765, reader_cost=0.0001 | ETA 03:50:31 2020-12-17 05:23:52 [INFO] [TRAIN] epoch=37, iter=24230/40000, loss=0.2567, lr=0.004327, batch_cost=0.7974, reader_cost=0.0001 | ETA 03:29:34 2020-12-17 05:24:00 [INFO] [TRAIN] epoch=37, iter=24240/40000, loss=0.1785, lr=0.004325, batch_cost=0.7765, reader_cost=0.0001 | ETA 03:23:58 2020-12-17 05:24:07 [INFO] [TRAIN] epoch=37, iter=24250/40000, loss=0.2855, lr=0.004322, batch_cost=0.7414, reader_cost=0.0001 | ETA 03:14:36 2020-12-17 05:24:14 [INFO] [TRAIN] epoch=37, iter=24260/40000, loss=0.2580, lr=0.004320, batch_cost=0.7128, reader_cost=0.0001 | ETA 03:06:59 2020-12-17 05:24:24 [INFO] [TRAIN] epoch=37, iter=24270/40000, loss=0.2074, lr=0.004317, batch_cost=0.9603, reader_cost=0.0002 | ETA 04:11:45 2020-12-17 05:24:33 [INFO] [TRAIN] epoch=37, iter=24280/40000, loss=0.2613, lr=0.004315, batch_cost=0.9311, reader_cost=0.0002 | ETA 04:03:56 2020-12-17 05:24:43 [INFO] [TRAIN] epoch=37, iter=24290/40000, loss=0.2616, lr=0.004313, batch_cost=1.0028, reader_cost=0.0002 | ETA 04:22:34 2020-12-17 05:24:52 [INFO] [TRAIN] epoch=37, iter=24300/40000, loss=0.3186, lr=0.004310, batch_cost=0.9063, reader_cost=0.0002 | ETA 03:57:08 2020-12-17 05:25:02 [INFO] [TRAIN] epoch=37, iter=24310/40000, loss=0.1656, lr=0.004308, batch_cost=0.9234, reader_cost=0.0002 | ETA 04:01:28 2020-12-17 05:25:12 [INFO] [TRAIN] epoch=37, iter=24320/40000, loss=0.2740, lr=0.004305, batch_cost=0.9903, reader_cost=0.0005 | ETA 04:18:47 2020-12-17 05:25:22 [INFO] [TRAIN] epoch=37, iter=24330/40000, loss=0.2048, lr=0.004303, batch_cost=0.9946, reader_cost=0.0002 | ETA 04:19:46 2020-12-17 05:25:31 [INFO] [TRAIN] epoch=37, iter=24340/40000, loss=0.1966, lr=0.004300, batch_cost=0.9587, reader_cost=0.0002 | ETA 04:10:13 2020-12-17 05:25:41 [INFO] [TRAIN] epoch=37, iter=24350/40000, loss=0.2628, lr=0.004298, batch_cost=0.9634, reader_cost=0.0001 | ETA 04:11:17 2020-12-17 05:25:49 [INFO] [TRAIN] epoch=37, iter=24360/40000, loss=0.2861, lr=0.004295, batch_cost=0.8577, reader_cost=0.0002 | ETA 03:43:34 2020-12-17 05:25:59 [INFO] [TRAIN] epoch=37, iter=24370/40000, loss=0.3157, lr=0.004293, batch_cost=0.9210, reader_cost=0.0007 | ETA 03:59:55 2020-12-17 05:26:07 [INFO] [TRAIN] epoch=37, iter=24380/40000, loss=0.1770, lr=0.004290, batch_cost=0.8660, reader_cost=0.0001 | ETA 03:45:27 2020-12-17 05:26:15 [INFO] [TRAIN] epoch=37, iter=24390/40000, loss=0.2392, lr=0.004288, batch_cost=0.8227, reader_cost=0.0001 | ETA 03:34:01 2020-12-17 05:26:25 [INFO] [TRAIN] epoch=37, iter=24400/40000, loss=0.2066, lr=0.004285, batch_cost=0.9696, reader_cost=0.0001 | ETA 04:12:05 2020-12-17 05:26:34 [INFO] [TRAIN] epoch=37, iter=24410/40000, loss=0.2594, lr=0.004283, batch_cost=0.9341, reader_cost=0.0001 | ETA 04:02:42 2020-12-17 05:26:45 [INFO] [TRAIN] epoch=37, iter=24420/40000, loss=0.3765, lr=0.004280, batch_cost=1.0280, reader_cost=0.0002 | ETA 04:26:56 2020-12-17 05:26:55 [INFO] [TRAIN] epoch=37, iter=24430/40000, loss=0.1796, lr=0.004278, batch_cost=1.0578, reader_cost=0.0001 | ETA 04:34:29 2020-12-17 05:27:05 [INFO] [TRAIN] epoch=37, iter=24440/40000, loss=0.2093, lr=0.004275, batch_cost=1.0014, reader_cost=0.0002 | ETA 04:19:41 2020-12-17 05:27:16 [INFO] [TRAIN] epoch=37, iter=24450/40000, loss=0.3964, lr=0.004273, batch_cost=1.0659, reader_cost=0.0001 | ETA 04:36:15 2020-12-17 05:27:26 [INFO] [TRAIN] epoch=38, iter=24460/40000, loss=0.2097, lr=0.004270, batch_cost=1.0236, reader_cost=0.0497 | ETA 04:25:06 2020-12-17 05:27:36 [INFO] [TRAIN] epoch=38, iter=24470/40000, loss=0.2305, lr=0.004268, batch_cost=0.9310, reader_cost=0.0001 | ETA 04:00:58 2020-12-17 05:27:44 [INFO] [TRAIN] epoch=38, iter=24480/40000, loss=0.1860, lr=0.004266, batch_cost=0.8675, reader_cost=0.0005 | ETA 03:44:24 2020-12-17 05:27:56 [INFO] [TRAIN] epoch=38, iter=24490/40000, loss=0.2382, lr=0.004263, batch_cost=1.1670, reader_cost=0.0001 | ETA 05:01:39 2020-12-17 05:28:05 [INFO] [TRAIN] epoch=38, iter=24500/40000, loss=0.3354, lr=0.004261, batch_cost=0.9405, reader_cost=0.0014 | ETA 04:02:57 2020-12-17 05:28:14 [INFO] [TRAIN] epoch=38, iter=24510/40000, loss=0.2187, lr=0.004258, batch_cost=0.9040, reader_cost=0.0001 | ETA 03:53:23 2020-12-17 05:28:24 [INFO] [TRAIN] epoch=38, iter=24520/40000, loss=0.2912, lr=0.004256, batch_cost=0.9744, reader_cost=0.0002 | ETA 04:11:23 2020-12-17 05:28:35 [INFO] [TRAIN] epoch=38, iter=24530/40000, loss=0.1865, lr=0.004253, batch_cost=1.0844, reader_cost=0.0003 | ETA 04:39:36 2020-12-17 05:28:44 [INFO] [TRAIN] epoch=38, iter=24540/40000, loss=0.2403, lr=0.004251, batch_cost=0.8725, reader_cost=0.0001 | ETA 03:44:49 2020-12-17 05:28:54 [INFO] [TRAIN] epoch=38, iter=24550/40000, loss=0.2118, lr=0.004248, batch_cost=1.0308, reader_cost=0.0002 | ETA 04:25:25 2020-12-17 05:29:03 [INFO] [TRAIN] epoch=38, iter=24560/40000, loss=0.1688, lr=0.004246, batch_cost=0.9194, reader_cost=0.0015 | ETA 03:56:35 2020-12-17 05:29:12 [INFO] [TRAIN] epoch=38, iter=24570/40000, loss=0.1481, lr=0.004243, batch_cost=0.8869, reader_cost=0.0002 | ETA 03:48:05 2020-12-17 05:29:22 [INFO] [TRAIN] epoch=38, iter=24580/40000, loss=0.2833, lr=0.004241, batch_cost=0.9794, reader_cost=0.0002 | ETA 04:11:42 2020-12-17 05:29:31 [INFO] [TRAIN] epoch=38, iter=24590/40000, loss=0.2739, lr=0.004238, batch_cost=0.9211, reader_cost=0.0002 | ETA 03:56:33 2020-12-17 05:29:40 [INFO] [TRAIN] epoch=38, iter=24600/40000, loss=0.2560, lr=0.004236, batch_cost=0.9091, reader_cost=0.0002 | ETA 03:53:19 2020-12-17 05:29:50 [INFO] [TRAIN] epoch=38, iter=24610/40000, loss=0.1808, lr=0.004233, batch_cost=0.9845, reader_cost=0.0014 | ETA 04:12:30 2020-12-17 05:30:00 [INFO] [TRAIN] epoch=38, iter=24620/40000, loss=0.2746, lr=0.004231, batch_cost=0.9802, reader_cost=0.0002 | ETA 04:11:15 2020-12-17 05:30:10 [INFO] [TRAIN] epoch=38, iter=24630/40000, loss=0.2425, lr=0.004228, batch_cost=1.0346, reader_cost=0.0006 | ETA 04:25:01 2020-12-17 05:30:19 [INFO] [TRAIN] epoch=38, iter=24640/40000, loss=0.2350, lr=0.004226, batch_cost=0.9181, reader_cost=0.0011 | ETA 03:55:02 2020-12-17 05:30:29 [INFO] [TRAIN] epoch=38, iter=24650/40000, loss=0.2225, lr=0.004223, batch_cost=1.0122, reader_cost=0.0001 | ETA 04:18:57 2020-12-17 05:30:38 [INFO] [TRAIN] epoch=38, iter=24660/40000, loss=0.1807, lr=0.004221, batch_cost=0.8588, reader_cost=0.0001 | ETA 03:39:34 2020-12-17 05:30:46 [INFO] [TRAIN] epoch=38, iter=24670/40000, loss=0.1742, lr=0.004219, batch_cost=0.8402, reader_cost=0.0002 | ETA 03:34:40 2020-12-17 05:30:57 [INFO] [TRAIN] epoch=38, iter=24680/40000, loss=0.2621, lr=0.004216, batch_cost=1.0217, reader_cost=0.0001 | ETA 04:20:52 2020-12-17 05:31:07 [INFO] [TRAIN] epoch=38, iter=24690/40000, loss=0.3007, lr=0.004214, batch_cost=0.9867, reader_cost=0.0002 | ETA 04:11:46 2020-12-17 05:31:16 [INFO] [TRAIN] epoch=38, iter=24700/40000, loss=0.2227, lr=0.004211, batch_cost=0.9798, reader_cost=0.0002 | ETA 04:09:50 2020-12-17 05:31:26 [INFO] [TRAIN] epoch=38, iter=24710/40000, loss=0.4427, lr=0.004209, batch_cost=1.0020, reader_cost=0.0002 | ETA 04:15:19 2020-12-17 05:31:37 [INFO] [TRAIN] epoch=38, iter=24720/40000, loss=0.2953, lr=0.004206, batch_cost=1.0725, reader_cost=0.0002 | ETA 04:33:07 2020-12-17 05:31:46 [INFO] [TRAIN] epoch=38, iter=24730/40000, loss=0.2308, lr=0.004204, batch_cost=0.9185, reader_cost=0.0011 | ETA 03:53:45 2020-12-17 05:31:56 [INFO] [TRAIN] epoch=38, iter=24740/40000, loss=0.2544, lr=0.004201, batch_cost=0.9244, reader_cost=0.0006 | ETA 03:55:07 2020-12-17 05:32:04 [INFO] [TRAIN] epoch=38, iter=24750/40000, loss=0.3033, lr=0.004199, batch_cost=0.8829, reader_cost=0.0001 | ETA 03:44:24 2020-12-17 05:32:14 [INFO] [TRAIN] epoch=38, iter=24760/40000, loss=0.2866, lr=0.004196, batch_cost=0.9361, reader_cost=0.0001 | ETA 03:57:46 2020-12-17 05:32:23 [INFO] [TRAIN] epoch=38, iter=24770/40000, loss=0.3157, lr=0.004194, batch_cost=0.9221, reader_cost=0.0012 | ETA 03:54:03 2020-12-17 05:32:33 [INFO] [TRAIN] epoch=38, iter=24780/40000, loss=0.2982, lr=0.004191, batch_cost=0.9736, reader_cost=0.0002 | ETA 04:06:58 2020-12-17 05:32:42 [INFO] [TRAIN] epoch=38, iter=24790/40000, loss=0.2344, lr=0.004189, batch_cost=0.8981, reader_cost=0.0008 | ETA 03:47:40 2020-12-17 05:32:51 [INFO] [TRAIN] epoch=38, iter=24800/40000, loss=0.2368, lr=0.004186, batch_cost=0.9228, reader_cost=0.0002 | ETA 03:53:46 2020-12-17 05:33:01 [INFO] [TRAIN] epoch=38, iter=24810/40000, loss=0.2042, lr=0.004184, batch_cost=1.0202, reader_cost=0.0001 | ETA 04:18:16 2020-12-17 05:33:10 [INFO] [TRAIN] epoch=38, iter=24820/40000, loss=0.2464, lr=0.004181, batch_cost=0.8575, reader_cost=0.0001 | ETA 03:36:56 2020-12-17 05:33:20 [INFO] [TRAIN] epoch=38, iter=24830/40000, loss=0.2281, lr=0.004179, batch_cost=1.0226, reader_cost=0.0001 | ETA 04:18:32 2020-12-17 05:33:29 [INFO] [TRAIN] epoch=38, iter=24840/40000, loss=0.2534, lr=0.004176, batch_cost=0.9162, reader_cost=0.0005 | ETA 03:51:29 2020-12-17 05:33:37 [INFO] [TRAIN] epoch=38, iter=24850/40000, loss=0.2961, lr=0.004174, batch_cost=0.8177, reader_cost=0.0001 | ETA 03:26:27 2020-12-17 05:33:46 [INFO] [TRAIN] epoch=38, iter=24860/40000, loss=0.2470, lr=0.004171, batch_cost=0.8937, reader_cost=0.0001 | ETA 03:45:29 2020-12-17 05:33:53 [INFO] [TRAIN] epoch=38, iter=24870/40000, loss=0.2513, lr=0.004169, batch_cost=0.7036, reader_cost=0.0010 | ETA 02:57:24 2020-12-17 05:34:01 [INFO] [TRAIN] epoch=38, iter=24880/40000, loss=0.2107, lr=0.004166, batch_cost=0.8293, reader_cost=0.0001 | ETA 03:28:58 2020-12-17 05:34:09 [INFO] [TRAIN] epoch=38, iter=24890/40000, loss=0.2893, lr=0.004164, batch_cost=0.7776, reader_cost=0.0002 | ETA 03:15:50 2020-12-17 05:34:18 [INFO] [TRAIN] epoch=38, iter=24900/40000, loss=0.2961, lr=0.004162, batch_cost=0.9225, reader_cost=0.0002 | ETA 03:52:10 2020-12-17 05:34:28 [INFO] [TRAIN] epoch=38, iter=24910/40000, loss=0.1483, lr=0.004159, batch_cost=0.9299, reader_cost=0.0014 | ETA 03:53:51 2020-12-17 05:34:38 [INFO] [TRAIN] epoch=38, iter=24920/40000, loss=0.4325, lr=0.004157, batch_cost=1.0591, reader_cost=0.0007 | ETA 04:26:11 2020-12-17 05:34:48 [INFO] [TRAIN] epoch=38, iter=24930/40000, loss=0.1704, lr=0.004154, batch_cost=0.9382, reader_cost=0.0001 | ETA 03:55:39 2020-12-17 05:34:58 [INFO] [TRAIN] epoch=38, iter=24940/40000, loss=0.2675, lr=0.004152, batch_cost=1.0156, reader_cost=0.0002 | ETA 04:14:54 2020-12-17 05:35:07 [INFO] [TRAIN] epoch=38, iter=24950/40000, loss=0.2532, lr=0.004149, batch_cost=0.9471, reader_cost=0.0002 | ETA 03:57:33 2020-12-17 05:35:17 [INFO] [TRAIN] epoch=38, iter=24960/40000, loss=0.2998, lr=0.004147, batch_cost=0.9642, reader_cost=0.0001 | ETA 04:01:41 2020-12-17 05:35:26 [INFO] [TRAIN] epoch=38, iter=24970/40000, loss=0.1736, lr=0.004144, batch_cost=0.9250, reader_cost=0.0001 | ETA 03:51:42 2020-12-17 05:35:36 [INFO] [TRAIN] epoch=38, iter=24980/40000, loss=0.2610, lr=0.004142, batch_cost=0.9380, reader_cost=0.0002 | ETA 03:54:48 2020-12-17 05:35:46 [INFO] [TRAIN] epoch=38, iter=24990/40000, loss=0.3628, lr=0.004139, batch_cost=0.9971, reader_cost=0.0002 | ETA 04:09:26 2020-12-17 05:35:55 [INFO] [TRAIN] epoch=38, iter=25000/40000, loss=0.2006, lr=0.004137, batch_cost=0.8994, reader_cost=0.0002 | ETA 03:44:50 2020-12-17 05:35:55 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 05:36:47 [INFO] [EVAL] #Images=1449 mIoU=0.7193 Acc=0.9363 Kappa=0.8609 2020-12-17 05:36:47 [INFO] [EVAL] Class IoU: [0.9332 0.8738 0.4195 0.8794 0.5338 0.6746 0.904 0.8328 0.8715 0.4144 0.8538 0.5812 0.7882 0.817 0.7323 0.8555 0.375 0.8276 0.4285 0.8049 0.7053] 2020-12-17 05:36:47 [INFO] [EVAL] Class Acc: [0.9667 0.9568 0.4381 0.9332 0.5842 0.8465 0.9397 0.8929 0.929 0.5047 0.8933 0.9232 0.8692 0.8961 0.7722 0.9157 0.5283 0.9635 0.8126 0.955 0.8031] 2020-12-17 05:36:58 [INFO] [EVAL] The model with the best validation mIoU (0.7515) was saved at iter 8000. 2020-12-17 05:37:08 [INFO] [TRAIN] epoch=38, iter=25010/40000, loss=0.2546, lr=0.004134, batch_cost=0.9877, reader_cost=0.0002 | ETA 04:06:45 2020-12-17 05:37:18 [INFO] [TRAIN] epoch=38, iter=25020/40000, loss=0.2656, lr=0.004132, batch_cost=0.9467, reader_cost=0.0014 | ETA 03:56:22 2020-12-17 05:37:28 [INFO] [TRAIN] epoch=38, iter=25030/40000, loss=0.4350, lr=0.004129, batch_cost=0.9871, reader_cost=0.0002 | ETA 04:06:17 2020-12-17 05:37:39 [INFO] [TRAIN] epoch=38, iter=25040/40000, loss=0.2922, lr=0.004127, batch_cost=1.1347, reader_cost=0.0001 | ETA 04:42:54 2020-12-17 05:37:48 [INFO] [TRAIN] epoch=38, iter=25050/40000, loss=0.1818, lr=0.004124, batch_cost=0.9252, reader_cost=0.0014 | ETA 03:50:31 2020-12-17 05:37:58 [INFO] [TRAIN] epoch=38, iter=25060/40000, loss=0.3986, lr=0.004122, batch_cost=0.9575, reader_cost=0.0002 | ETA 03:58:25 2020-12-17 05:38:08 [INFO] [TRAIN] epoch=38, iter=25070/40000, loss=0.2851, lr=0.004119, batch_cost=0.9736, reader_cost=0.0014 | ETA 04:02:15 2020-12-17 05:38:17 [INFO] [TRAIN] epoch=38, iter=25080/40000, loss=0.2024, lr=0.004117, batch_cost=0.9584, reader_cost=0.0001 | ETA 03:58:19 2020-12-17 05:38:27 [INFO] [TRAIN] epoch=38, iter=25090/40000, loss=0.2154, lr=0.004114, batch_cost=0.9494, reader_cost=0.0005 | ETA 03:55:55 2020-12-17 05:38:35 [INFO] [TRAIN] epoch=38, iter=25100/40000, loss=0.2367, lr=0.004112, batch_cost=0.8739, reader_cost=0.0001 | ETA 03:37:01 2020-12-17 05:38:45 [INFO] [TRAIN] epoch=38, iter=25110/40000, loss=0.1784, lr=0.004109, batch_cost=0.9869, reader_cost=0.0002 | ETA 04:04:54 2020-12-17 05:38:55 [INFO] [TRAIN] epoch=39, iter=25120/40000, loss=0.3373, lr=0.004107, batch_cost=0.9879, reader_cost=0.0471 | ETA 04:04:59 2020-12-17 05:39:06 [INFO] [TRAIN] epoch=39, iter=25130/40000, loss=0.2846, lr=0.004104, batch_cost=1.0530, reader_cost=0.0011 | ETA 04:20:58 2020-12-17 05:39:15 [INFO] [TRAIN] epoch=39, iter=25140/40000, loss=0.1655, lr=0.004102, batch_cost=0.9636, reader_cost=0.0013 | ETA 03:58:38 2020-12-17 05:39:24 [INFO] [TRAIN] epoch=39, iter=25150/40000, loss=0.2166, lr=0.004099, batch_cost=0.8606, reader_cost=0.0002 | ETA 03:32:59 2020-12-17 05:39:32 [INFO] [TRAIN] epoch=39, iter=25160/40000, loss=0.2276, lr=0.004097, batch_cost=0.7745, reader_cost=0.0001 | ETA 03:11:33 2020-12-17 05:39:39 [INFO] [TRAIN] epoch=39, iter=25170/40000, loss=0.2329, lr=0.004094, batch_cost=0.7470, reader_cost=0.0001 | ETA 03:04:38 2020-12-17 05:39:46 [INFO] [TRAIN] epoch=39, iter=25180/40000, loss=0.2063, lr=0.004092, batch_cost=0.7026, reader_cost=0.0001 | ETA 02:53:33 2020-12-17 05:39:53 [INFO] [TRAIN] epoch=39, iter=25190/40000, loss=0.1976, lr=0.004090, batch_cost=0.7132, reader_cost=0.0001 | ETA 02:56:02 2020-12-17 05:40:01 [INFO] [TRAIN] epoch=39, iter=25200/40000, loss=0.1483, lr=0.004087, batch_cost=0.7624, reader_cost=0.0001 | ETA 03:08:03 2020-12-17 05:40:10 [INFO] [TRAIN] epoch=39, iter=25210/40000, loss=0.2248, lr=0.004085, batch_cost=0.9249, reader_cost=0.0001 | ETA 03:47:58 2020-12-17 05:40:19 [INFO] [TRAIN] epoch=39, iter=25220/40000, loss=0.2444, lr=0.004082, batch_cost=0.9178, reader_cost=0.0001 | ETA 03:46:05 2020-12-17 05:40:29 [INFO] [TRAIN] epoch=39, iter=25230/40000, loss=0.3134, lr=0.004080, batch_cost=0.9629, reader_cost=0.0001 | ETA 03:57:01 2020-12-17 05:40:39 [INFO] [TRAIN] epoch=39, iter=25240/40000, loss=0.2089, lr=0.004077, batch_cost=0.9845, reader_cost=0.0002 | ETA 04:02:10 2020-12-17 05:40:48 [INFO] [TRAIN] epoch=39, iter=25250/40000, loss=0.1398, lr=0.004075, batch_cost=0.8774, reader_cost=0.0001 | ETA 03:35:41 2020-12-17 05:40:57 [INFO] [TRAIN] epoch=39, iter=25260/40000, loss=0.2381, lr=0.004072, batch_cost=0.9261, reader_cost=0.0002 | ETA 03:47:30 2020-12-17 05:41:06 [INFO] [TRAIN] epoch=39, iter=25270/40000, loss=0.2585, lr=0.004070, batch_cost=0.8838, reader_cost=0.0001 | ETA 03:36:58 2020-12-17 05:41:16 [INFO] [TRAIN] epoch=39, iter=25280/40000, loss=0.1892, lr=0.004067, batch_cost=1.0212, reader_cost=0.0015 | ETA 04:10:32 2020-12-17 05:41:25 [INFO] [TRAIN] epoch=39, iter=25290/40000, loss=0.2346, lr=0.004065, batch_cost=0.8877, reader_cost=0.0002 | ETA 03:37:37 2020-12-17 05:41:34 [INFO] [TRAIN] epoch=39, iter=25300/40000, loss=0.2812, lr=0.004062, batch_cost=0.9269, reader_cost=0.0001 | ETA 03:47:05 2020-12-17 05:41:43 [INFO] [TRAIN] epoch=39, iter=25310/40000, loss=0.3433, lr=0.004060, batch_cost=0.8536, reader_cost=0.0001 | ETA 03:28:59 2020-12-17 05:41:52 [INFO] [TRAIN] epoch=39, iter=25320/40000, loss=0.3256, lr=0.004057, batch_cost=0.9165, reader_cost=0.0001 | ETA 03:44:13 2020-12-17 05:42:00 [INFO] [TRAIN] epoch=39, iter=25330/40000, loss=0.2331, lr=0.004055, batch_cost=0.8448, reader_cost=0.0001 | ETA 03:26:33 2020-12-17 05:42:10 [INFO] [TRAIN] epoch=39, iter=25340/40000, loss=0.1654, lr=0.004052, batch_cost=1.0224, reader_cost=0.0001 | ETA 04:09:48 2020-12-17 05:42:21 [INFO] [TRAIN] epoch=39, iter=25350/40000, loss=0.2714, lr=0.004050, batch_cost=1.1012, reader_cost=0.0014 | ETA 04:28:53 2020-12-17 05:42:31 [INFO] [TRAIN] epoch=39, iter=25360/40000, loss=0.2051, lr=0.004047, batch_cost=0.9793, reader_cost=0.0001 | ETA 03:58:57 2020-12-17 05:42:41 [INFO] [TRAIN] epoch=39, iter=25370/40000, loss=0.2257, lr=0.004045, batch_cost=0.9816, reader_cost=0.0003 | ETA 03:59:20 2020-12-17 05:42:49 [INFO] [TRAIN] epoch=39, iter=25380/40000, loss=0.1929, lr=0.004042, batch_cost=0.8351, reader_cost=0.0001 | ETA 03:23:29 2020-12-17 05:42:58 [INFO] [TRAIN] epoch=39, iter=25390/40000, loss=0.2821, lr=0.004040, batch_cost=0.8944, reader_cost=0.0001 | ETA 03:37:47 2020-12-17 05:43:09 [INFO] [TRAIN] epoch=39, iter=25400/40000, loss=0.3601, lr=0.004037, batch_cost=1.0327, reader_cost=0.0002 | ETA 04:11:17 2020-12-17 05:43:18 [INFO] [TRAIN] epoch=39, iter=25410/40000, loss=0.3239, lr=0.004035, batch_cost=0.9242, reader_cost=0.0002 | ETA 03:44:43 2020-12-17 05:43:27 [INFO] [TRAIN] epoch=39, iter=25420/40000, loss=0.2314, lr=0.004032, batch_cost=0.9500, reader_cost=0.0002 | ETA 03:50:50 2020-12-17 05:43:37 [INFO] [TRAIN] epoch=39, iter=25430/40000, loss=0.2814, lr=0.004030, batch_cost=0.9378, reader_cost=0.0002 | ETA 03:47:43 2020-12-17 05:43:46 [INFO] [TRAIN] epoch=39, iter=25440/40000, loss=0.2542, lr=0.004027, batch_cost=0.8708, reader_cost=0.0002 | ETA 03:31:18 2020-12-17 05:43:54 [INFO] [TRAIN] epoch=39, iter=25450/40000, loss=0.1459, lr=0.004025, batch_cost=0.8715, reader_cost=0.0001 | ETA 03:31:20 2020-12-17 05:44:03 [INFO] [TRAIN] epoch=39, iter=25460/40000, loss=0.2583, lr=0.004022, batch_cost=0.8941, reader_cost=0.0014 | ETA 03:36:40 2020-12-17 05:44:12 [INFO] [TRAIN] epoch=39, iter=25470/40000, loss=0.2610, lr=0.004020, batch_cost=0.8431, reader_cost=0.0001 | ETA 03:24:09 2020-12-17 05:44:21 [INFO] [TRAIN] epoch=39, iter=25480/40000, loss=0.1985, lr=0.004017, batch_cost=0.9542, reader_cost=0.0002 | ETA 03:50:54 2020-12-17 05:44:30 [INFO] [TRAIN] epoch=39, iter=25490/40000, loss=0.2528, lr=0.004015, batch_cost=0.9295, reader_cost=0.0014 | ETA 03:44:46 2020-12-17 05:44:40 [INFO] [TRAIN] epoch=39, iter=25500/40000, loss=0.3443, lr=0.004012, batch_cost=0.9104, reader_cost=0.0001 | ETA 03:40:00 2020-12-17 05:44:49 [INFO] [TRAIN] epoch=39, iter=25510/40000, loss=0.2423, lr=0.004010, batch_cost=0.9600, reader_cost=0.0002 | ETA 03:51:50 2020-12-17 05:44:58 [INFO] [TRAIN] epoch=39, iter=25520/40000, loss=0.2133, lr=0.004007, batch_cost=0.8887, reader_cost=0.0001 | ETA 03:34:29 2020-12-17 05:45:07 [INFO] [TRAIN] epoch=39, iter=25530/40000, loss=0.2212, lr=0.004005, batch_cost=0.8561, reader_cost=0.0001 | ETA 03:26:27 2020-12-17 05:45:15 [INFO] [TRAIN] epoch=39, iter=25540/40000, loss=0.1868, lr=0.004002, batch_cost=0.8387, reader_cost=0.0001 | ETA 03:22:06 2020-12-17 05:45:24 [INFO] [TRAIN] epoch=39, iter=25550/40000, loss=0.2613, lr=0.004000, batch_cost=0.9295, reader_cost=0.0001 | ETA 03:43:51 2020-12-17 05:45:33 [INFO] [TRAIN] epoch=39, iter=25560/40000, loss=0.2643, lr=0.003997, batch_cost=0.8271, reader_cost=0.0001 | ETA 03:19:02 2020-12-17 05:45:40 [INFO] [TRAIN] epoch=39, iter=25570/40000, loss=0.3580, lr=0.003995, batch_cost=0.7674, reader_cost=0.0001 | ETA 03:04:33 2020-12-17 05:45:49 [INFO] [TRAIN] epoch=39, iter=25580/40000, loss=0.1975, lr=0.003992, batch_cost=0.9191, reader_cost=0.0001 | ETA 03:40:54 2020-12-17 05:45:57 [INFO] [TRAIN] epoch=39, iter=25590/40000, loss=0.2888, lr=0.003990, batch_cost=0.7415, reader_cost=0.0001 | ETA 02:58:04 2020-12-17 05:46:04 [INFO] [TRAIN] epoch=39, iter=25600/40000, loss=0.2618, lr=0.003987, batch_cost=0.7380, reader_cost=0.0001 | ETA 02:57:06 2020-12-17 05:46:12 [INFO] [TRAIN] epoch=39, iter=25610/40000, loss=0.1913, lr=0.003985, batch_cost=0.7729, reader_cost=0.0001 | ETA 03:05:22 2020-12-17 05:46:21 [INFO] [TRAIN] epoch=39, iter=25620/40000, loss=0.2244, lr=0.003983, batch_cost=0.8916, reader_cost=0.0005 | ETA 03:33:41 2020-12-17 05:46:30 [INFO] [TRAIN] epoch=39, iter=25630/40000, loss=0.2784, lr=0.003980, batch_cost=0.8723, reader_cost=0.0001 | ETA 03:28:55 2020-12-17 05:46:38 [INFO] [TRAIN] epoch=39, iter=25640/40000, loss=0.1907, lr=0.003978, batch_cost=0.8638, reader_cost=0.0001 | ETA 03:26:43 2020-12-17 05:46:47 [INFO] [TRAIN] epoch=39, iter=25650/40000, loss=0.2136, lr=0.003975, batch_cost=0.8946, reader_cost=0.0002 | ETA 03:33:57 2020-12-17 05:46:57 [INFO] [TRAIN] epoch=39, iter=25660/40000, loss=0.1797, lr=0.003973, batch_cost=0.9451, reader_cost=0.0002 | ETA 03:45:52 2020-12-17 05:47:06 [INFO] [TRAIN] epoch=39, iter=25670/40000, loss=0.2260, lr=0.003970, batch_cost=0.8878, reader_cost=0.0001 | ETA 03:32:02 2020-12-17 05:47:15 [INFO] [TRAIN] epoch=39, iter=25680/40000, loss=0.2160, lr=0.003968, batch_cost=0.9879, reader_cost=0.0002 | ETA 03:55:47 2020-12-17 05:47:25 [INFO] [TRAIN] epoch=39, iter=25690/40000, loss=0.1923, lr=0.003965, batch_cost=0.9649, reader_cost=0.0001 | ETA 03:50:08 2020-12-17 05:47:34 [INFO] [TRAIN] epoch=39, iter=25700/40000, loss=0.1724, lr=0.003963, batch_cost=0.9445, reader_cost=0.0001 | ETA 03:45:05 2020-12-17 05:47:43 [INFO] [TRAIN] epoch=39, iter=25710/40000, loss=0.2413, lr=0.003960, batch_cost=0.8902, reader_cost=0.0002 | ETA 03:32:00 2020-12-17 05:47:53 [INFO] [TRAIN] epoch=39, iter=25720/40000, loss=0.2366, lr=0.003958, batch_cost=0.9857, reader_cost=0.0002 | ETA 03:54:35 2020-12-17 05:48:03 [INFO] [TRAIN] epoch=39, iter=25730/40000, loss=0.2024, lr=0.003955, batch_cost=0.9780, reader_cost=0.0002 | ETA 03:52:35 2020-12-17 05:48:12 [INFO] [TRAIN] epoch=39, iter=25740/40000, loss=0.2980, lr=0.003953, batch_cost=0.9407, reader_cost=0.0001 | ETA 03:43:34 2020-12-17 05:48:21 [INFO] [TRAIN] epoch=39, iter=25750/40000, loss=0.2093, lr=0.003950, batch_cost=0.8501, reader_cost=0.0001 | ETA 03:21:53 2020-12-17 05:48:31 [INFO] [TRAIN] epoch=39, iter=25760/40000, loss=0.3092, lr=0.003948, batch_cost=0.9586, reader_cost=0.0001 | ETA 03:47:30 2020-12-17 05:48:40 [INFO] [TRAIN] epoch=39, iter=25770/40000, loss=0.2013, lr=0.003945, batch_cost=0.9602, reader_cost=0.0001 | ETA 03:47:43 2020-12-17 05:48:50 [INFO] [TRAIN] epoch=40, iter=25780/40000, loss=0.3009, lr=0.003943, batch_cost=0.9693, reader_cost=0.0259 | ETA 03:49:43 2020-12-17 05:48:59 [INFO] [TRAIN] epoch=40, iter=25790/40000, loss=0.1653, lr=0.003940, batch_cost=0.9128, reader_cost=0.0001 | ETA 03:36:11 2020-12-17 05:49:08 [INFO] [TRAIN] epoch=40, iter=25800/40000, loss=0.2672, lr=0.003938, batch_cost=0.9139, reader_cost=0.0001 | ETA 03:36:16 2020-12-17 05:49:16 [INFO] [TRAIN] epoch=40, iter=25810/40000, loss=0.2308, lr=0.003935, batch_cost=0.8392, reader_cost=0.0002 | ETA 03:18:28 2020-12-17 05:49:27 [INFO] [TRAIN] epoch=40, iter=25820/40000, loss=0.1659, lr=0.003933, batch_cost=1.0275, reader_cost=0.0002 | ETA 04:02:49 2020-12-17 05:49:36 [INFO] [TRAIN] epoch=40, iter=25830/40000, loss=0.1592, lr=0.003930, batch_cost=0.9028, reader_cost=0.0001 | ETA 03:33:12 2020-12-17 05:49:45 [INFO] [TRAIN] epoch=40, iter=25840/40000, loss=0.2587, lr=0.003928, batch_cost=0.9616, reader_cost=0.0001 | ETA 03:46:56 2020-12-17 05:49:55 [INFO] [TRAIN] epoch=40, iter=25850/40000, loss=0.1565, lr=0.003925, batch_cost=0.9170, reader_cost=0.0002 | ETA 03:36:15 2020-12-17 05:50:04 [INFO] [TRAIN] epoch=40, iter=25860/40000, loss=0.1479, lr=0.003923, batch_cost=0.9083, reader_cost=0.0001 | ETA 03:34:03 2020-12-17 05:50:11 [INFO] [TRAIN] epoch=40, iter=25870/40000, loss=0.1605, lr=0.003920, batch_cost=0.7745, reader_cost=0.0001 | ETA 03:02:23 2020-12-17 05:50:21 [INFO] [TRAIN] epoch=40, iter=25880/40000, loss=0.1647, lr=0.003918, batch_cost=0.9681, reader_cost=0.0002 | ETA 03:47:48 2020-12-17 05:50:31 [INFO] [TRAIN] epoch=40, iter=25890/40000, loss=0.1735, lr=0.003915, batch_cost=0.9696, reader_cost=0.0001 | ETA 03:48:01 2020-12-17 05:50:40 [INFO] [TRAIN] epoch=40, iter=25900/40000, loss=0.1626, lr=0.003913, batch_cost=0.9580, reader_cost=0.0006 | ETA 03:45:07 2020-12-17 05:50:50 [INFO] [TRAIN] epoch=40, iter=25910/40000, loss=0.2351, lr=0.003910, batch_cost=0.9224, reader_cost=0.0001 | ETA 03:36:36 2020-12-17 05:50:59 [INFO] [TRAIN] epoch=40, iter=25920/40000, loss=0.2037, lr=0.003908, batch_cost=0.9242, reader_cost=0.0001 | ETA 03:36:52 2020-12-17 05:51:08 [INFO] [TRAIN] epoch=40, iter=25930/40000, loss=0.1605, lr=0.003905, batch_cost=0.9304, reader_cost=0.0002 | ETA 03:38:10 2020-12-17 05:51:18 [INFO] [TRAIN] epoch=40, iter=25940/40000, loss=0.2289, lr=0.003903, batch_cost=1.0099, reader_cost=0.0014 | ETA 03:56:39 2020-12-17 05:51:28 [INFO] [TRAIN] epoch=40, iter=25950/40000, loss=0.2668, lr=0.003900, batch_cost=0.9342, reader_cost=0.0001 | ETA 03:38:46 2020-12-17 05:51:38 [INFO] [TRAIN] epoch=40, iter=25960/40000, loss=0.2284, lr=0.003898, batch_cost=0.9992, reader_cost=0.0002 | ETA 03:53:48 2020-12-17 05:51:47 [INFO] [TRAIN] epoch=40, iter=25970/40000, loss=0.2418, lr=0.003895, batch_cost=0.9390, reader_cost=0.0002 | ETA 03:39:34 2020-12-17 05:51:56 [INFO] [TRAIN] epoch=40, iter=25980/40000, loss=0.1783, lr=0.003893, batch_cost=0.8806, reader_cost=0.0001 | ETA 03:25:45 2020-12-17 05:52:04 [INFO] [TRAIN] epoch=40, iter=25990/40000, loss=0.1360, lr=0.003890, batch_cost=0.7873, reader_cost=0.0001 | ETA 03:03:50 2020-12-17 05:52:12 [INFO] [TRAIN] epoch=40, iter=26000/40000, loss=0.2120, lr=0.003888, batch_cost=0.7856, reader_cost=0.0001 | ETA 03:03:18 2020-12-17 05:52:12 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 05:52:57 [INFO] [EVAL] #Images=1449 mIoU=0.7669 Acc=0.9471 Kappa=0.8833 2020-12-17 05:52:57 [INFO] [EVAL] Class IoU: [0.9417 0.8194 0.4321 0.8749 0.6316 0.7516 0.9485 0.8847 0.9056 0.4246 0.8977 0.545 0.842 0.8612 0.8027 0.8665 0.6344 0.9048 0.5104 0.8729 0.7534] 2020-12-17 05:52:57 [INFO] [EVAL] Class Acc: [0.9667 0.9781 0.4617 0.9309 0.6795 0.9249 0.9702 0.9554 0.9388 0.5079 0.9634 0.8597 0.9251 0.9517 0.8245 0.9534 0.8547 0.9532 0.86 0.9258 0.8449] 2020-12-17 05:53:11 [INFO] [EVAL] The model with the best validation mIoU (0.7669) was saved at iter 26000. 2020-12-17 05:53:20 [INFO] [TRAIN] epoch=40, iter=26010/40000, loss=0.1690, lr=0.003885, batch_cost=0.9127, reader_cost=0.0001 | ETA 03:32:48 2020-12-17 05:53:29 [INFO] [TRAIN] epoch=40, iter=26020/40000, loss=0.1723, lr=0.003883, batch_cost=0.8559, reader_cost=0.0001 | ETA 03:19:24 2020-12-17 05:53:38 [INFO] [TRAIN] epoch=40, iter=26030/40000, loss=0.2882, lr=0.003880, batch_cost=0.9528, reader_cost=0.0002 | ETA 03:41:51 2020-12-17 05:53:48 [INFO] [TRAIN] epoch=40, iter=26040/40000, loss=0.2702, lr=0.003878, batch_cost=1.0279, reader_cost=0.0001 | ETA 03:59:09 2020-12-17 05:53:57 [INFO] [TRAIN] epoch=40, iter=26050/40000, loss=0.3155, lr=0.003875, batch_cost=0.8517, reader_cost=0.0002 | ETA 03:18:01 2020-12-17 05:54:06 [INFO] [TRAIN] epoch=40, iter=26060/40000, loss=0.2298, lr=0.003873, batch_cost=0.9169, reader_cost=0.0002 | ETA 03:33:01 2020-12-17 05:54:15 [INFO] [TRAIN] epoch=40, iter=26070/40000, loss=0.2320, lr=0.003870, batch_cost=0.9079, reader_cost=0.0001 | ETA 03:30:47 2020-12-17 05:54:25 [INFO] [TRAIN] epoch=40, iter=26080/40000, loss=0.1536, lr=0.003868, batch_cost=0.9931, reader_cost=0.0001 | ETA 03:50:24 2020-12-17 05:54:36 [INFO] [TRAIN] epoch=40, iter=26090/40000, loss=0.3095, lr=0.003865, batch_cost=1.0550, reader_cost=0.0001 | ETA 04:04:35 2020-12-17 05:54:46 [INFO] [TRAIN] epoch=40, iter=26100/40000, loss=0.3129, lr=0.003863, batch_cost=0.9932, reader_cost=0.0002 | ETA 03:50:05 2020-12-17 05:54:55 [INFO] [TRAIN] epoch=40, iter=26110/40000, loss=0.1785, lr=0.003860, batch_cost=0.9885, reader_cost=0.0001 | ETA 03:48:50 2020-12-17 05:55:06 [INFO] [TRAIN] epoch=40, iter=26120/40000, loss=0.1675, lr=0.003858, batch_cost=1.0472, reader_cost=0.0002 | ETA 04:02:14 2020-12-17 05:55:16 [INFO] [TRAIN] epoch=40, iter=26130/40000, loss=0.2817, lr=0.003855, batch_cost=0.9617, reader_cost=0.0002 | ETA 03:42:18 2020-12-17 05:55:25 [INFO] [TRAIN] epoch=40, iter=26140/40000, loss=0.2081, lr=0.003853, batch_cost=0.9266, reader_cost=0.0002 | ETA 03:34:03 2020-12-17 05:55:34 [INFO] [TRAIN] epoch=40, iter=26150/40000, loss=0.1812, lr=0.003850, batch_cost=0.9270, reader_cost=0.0002 | ETA 03:33:58 2020-12-17 05:55:43 [INFO] [TRAIN] epoch=40, iter=26160/40000, loss=0.1605, lr=0.003848, batch_cost=0.9130, reader_cost=0.0001 | ETA 03:30:36 2020-12-17 05:55:53 [INFO] [TRAIN] epoch=40, iter=26170/40000, loss=0.1983, lr=0.003845, batch_cost=0.9424, reader_cost=0.0001 | ETA 03:37:13 2020-12-17 05:56:03 [INFO] [TRAIN] epoch=40, iter=26180/40000, loss=0.2076, lr=0.003843, batch_cost=0.9884, reader_cost=0.0002 | ETA 03:47:40 2020-12-17 05:56:12 [INFO] [TRAIN] epoch=40, iter=26190/40000, loss=0.3216, lr=0.003840, batch_cost=0.9065, reader_cost=0.0014 | ETA 03:28:38 2020-12-17 05:56:21 [INFO] [TRAIN] epoch=40, iter=26200/40000, loss=0.1310, lr=0.003838, batch_cost=0.9532, reader_cost=0.0002 | ETA 03:39:14 2020-12-17 05:56:31 [INFO] [TRAIN] epoch=40, iter=26210/40000, loss=0.2670, lr=0.003835, batch_cost=0.9368, reader_cost=0.0002 | ETA 03:35:18 2020-12-17 05:56:39 [INFO] [TRAIN] epoch=40, iter=26220/40000, loss=0.2497, lr=0.003833, batch_cost=0.8686, reader_cost=0.0002 | ETA 03:19:29 2020-12-17 05:56:47 [INFO] [TRAIN] epoch=40, iter=26230/40000, loss=0.2378, lr=0.003830, batch_cost=0.7730, reader_cost=0.0001 | ETA 02:57:24 2020-12-17 05:56:55 [INFO] [TRAIN] epoch=40, iter=26240/40000, loss=0.2400, lr=0.003828, batch_cost=0.7690, reader_cost=0.0001 | ETA 02:56:21 2020-12-17 05:57:02 [INFO] [TRAIN] epoch=40, iter=26250/40000, loss=0.1949, lr=0.003825, batch_cost=0.7681, reader_cost=0.0001 | ETA 02:56:01 2020-12-17 05:57:10 [INFO] [TRAIN] epoch=40, iter=26260/40000, loss=0.2624, lr=0.003823, batch_cost=0.7547, reader_cost=0.0001 | ETA 02:52:49 2020-12-17 05:57:18 [INFO] [TRAIN] epoch=40, iter=26270/40000, loss=0.2135, lr=0.003820, batch_cost=0.7961, reader_cost=0.0001 | ETA 03:02:10 2020-12-17 05:57:28 [INFO] [TRAIN] epoch=40, iter=26280/40000, loss=0.2559, lr=0.003818, batch_cost=0.9853, reader_cost=0.0027 | ETA 03:45:18 2020-12-17 05:57:37 [INFO] [TRAIN] epoch=40, iter=26290/40000, loss=0.1951, lr=0.003815, batch_cost=0.9333, reader_cost=0.0016 | ETA 03:33:15 2020-12-17 05:57:46 [INFO] [TRAIN] epoch=40, iter=26300/40000, loss=0.1532, lr=0.003813, batch_cost=0.8863, reader_cost=0.0001 | ETA 03:22:22 2020-12-17 05:57:55 [INFO] [TRAIN] epoch=40, iter=26310/40000, loss=0.2371, lr=0.003810, batch_cost=0.8845, reader_cost=0.0014 | ETA 03:21:48 2020-12-17 05:58:04 [INFO] [TRAIN] epoch=40, iter=26320/40000, loss=0.1660, lr=0.003808, batch_cost=0.9029, reader_cost=0.0001 | ETA 03:25:51 2020-12-17 05:58:13 [INFO] [TRAIN] epoch=40, iter=26330/40000, loss=0.1579, lr=0.003805, batch_cost=0.9011, reader_cost=0.0001 | ETA 03:25:17 2020-12-17 05:58:23 [INFO] [TRAIN] epoch=40, iter=26340/40000, loss=0.2335, lr=0.003803, batch_cost=1.0285, reader_cost=0.0002 | ETA 03:54:09 2020-12-17 05:58:32 [INFO] [TRAIN] epoch=40, iter=26350/40000, loss=0.2328, lr=0.003800, batch_cost=0.8822, reader_cost=0.0002 | ETA 03:20:41 2020-12-17 05:58:39 [INFO] [TRAIN] epoch=40, iter=26360/40000, loss=0.2502, lr=0.003798, batch_cost=0.7450, reader_cost=0.0001 | ETA 02:49:22 2020-12-17 05:58:47 [INFO] [TRAIN] epoch=40, iter=26370/40000, loss=0.1982, lr=0.003795, batch_cost=0.7513, reader_cost=0.0001 | ETA 02:50:40 2020-12-17 05:58:55 [INFO] [TRAIN] epoch=40, iter=26380/40000, loss=0.2678, lr=0.003793, batch_cost=0.7817, reader_cost=0.0001 | ETA 02:57:27 2020-12-17 05:59:02 [INFO] [TRAIN] epoch=40, iter=26390/40000, loss=0.1732, lr=0.003790, batch_cost=0.7232, reader_cost=0.0001 | ETA 02:44:02 2020-12-17 05:59:12 [INFO] [TRAIN] epoch=40, iter=26400/40000, loss=0.1744, lr=0.003788, batch_cost=1.0044, reader_cost=0.0001 | ETA 03:47:39 2020-12-17 05:59:22 [INFO] [TRAIN] epoch=40, iter=26410/40000, loss=0.1955, lr=0.003785, batch_cost=1.0031, reader_cost=0.0002 | ETA 03:47:11 2020-12-17 05:59:32 [INFO] [TRAIN] epoch=40, iter=26420/40000, loss=0.2337, lr=0.003783, batch_cost=0.9770, reader_cost=0.0002 | ETA 03:41:08 2020-12-17 05:59:41 [INFO] [TRAIN] epoch=40, iter=26430/40000, loss=0.2274, lr=0.003780, batch_cost=0.9604, reader_cost=0.0001 | ETA 03:37:13 2020-12-17 05:59:50 [INFO] [TRAIN] epoch=40, iter=26440/40000, loss=0.1780, lr=0.003778, batch_cost=0.8846, reader_cost=0.0002 | ETA 03:19:55 2020-12-17 06:00:01 [INFO] [TRAIN] epoch=41, iter=26450/40000, loss=0.1986, lr=0.003775, batch_cost=1.0814, reader_cost=0.0272 | ETA 04:04:13 2020-12-17 06:00:10 [INFO] [TRAIN] epoch=41, iter=26460/40000, loss=0.1840, lr=0.003773, batch_cost=0.9281, reader_cost=0.0002 | ETA 03:29:26 2020-12-17 06:00:19 [INFO] [TRAIN] epoch=41, iter=26470/40000, loss=0.2587, lr=0.003770, batch_cost=0.8932, reader_cost=0.0001 | ETA 03:21:25 2020-12-17 06:00:28 [INFO] [TRAIN] epoch=41, iter=26480/40000, loss=0.1612, lr=0.003768, batch_cost=0.8947, reader_cost=0.0002 | ETA 03:21:35 2020-12-17 06:00:37 [INFO] [TRAIN] epoch=41, iter=26490/40000, loss=0.2451, lr=0.003765, batch_cost=0.9052, reader_cost=0.0001 | ETA 03:23:49 2020-12-17 06:00:47 [INFO] [TRAIN] epoch=41, iter=26500/40000, loss=0.1980, lr=0.003762, batch_cost=0.9679, reader_cost=0.0001 | ETA 03:37:46 2020-12-17 06:00:56 [INFO] [TRAIN] epoch=41, iter=26510/40000, loss=0.2544, lr=0.003760, batch_cost=0.9345, reader_cost=0.0002 | ETA 03:30:05 2020-12-17 06:01:06 [INFO] [TRAIN] epoch=41, iter=26520/40000, loss=0.1794, lr=0.003757, batch_cost=0.9961, reader_cost=0.0014 | ETA 03:43:47 2020-12-17 06:01:15 [INFO] [TRAIN] epoch=41, iter=26530/40000, loss=0.4538, lr=0.003755, batch_cost=0.8847, reader_cost=0.0002 | ETA 03:18:36 2020-12-17 06:01:25 [INFO] [TRAIN] epoch=41, iter=26540/40000, loss=0.2312, lr=0.003752, batch_cost=0.9566, reader_cost=0.0001 | ETA 03:34:35 2020-12-17 06:01:33 [INFO] [TRAIN] epoch=41, iter=26550/40000, loss=0.1668, lr=0.003750, batch_cost=0.8638, reader_cost=0.0001 | ETA 03:13:38 2020-12-17 06:01:43 [INFO] [TRAIN] epoch=41, iter=26560/40000, loss=0.1421, lr=0.003747, batch_cost=0.9387, reader_cost=0.0002 | ETA 03:30:16 2020-12-17 06:01:52 [INFO] [TRAIN] epoch=41, iter=26570/40000, loss=0.2574, lr=0.003745, batch_cost=0.9819, reader_cost=0.0002 | ETA 03:39:46 2020-12-17 06:02:02 [INFO] [TRAIN] epoch=41, iter=26580/40000, loss=0.2379, lr=0.003742, batch_cost=0.9908, reader_cost=0.0002 | ETA 03:41:37 2020-12-17 06:02:12 [INFO] [TRAIN] epoch=41, iter=26590/40000, loss=0.2945, lr=0.003740, batch_cost=0.9133, reader_cost=0.0002 | ETA 03:24:07 2020-12-17 06:02:20 [INFO] [TRAIN] epoch=41, iter=26600/40000, loss=0.2841, lr=0.003737, batch_cost=0.8618, reader_cost=0.0014 | ETA 03:12:28 2020-12-17 06:02:29 [INFO] [TRAIN] epoch=41, iter=26610/40000, loss=0.1652, lr=0.003735, batch_cost=0.9011, reader_cost=0.0002 | ETA 03:21:06 2020-12-17 06:02:39 [INFO] [TRAIN] epoch=41, iter=26620/40000, loss=0.2124, lr=0.003732, batch_cost=1.0225, reader_cost=0.0001 | ETA 03:48:01 2020-12-17 06:02:49 [INFO] [TRAIN] epoch=41, iter=26630/40000, loss=0.3062, lr=0.003730, batch_cost=0.9461, reader_cost=0.0002 | ETA 03:30:49 2020-12-17 06:02:58 [INFO] [TRAIN] epoch=41, iter=26640/40000, loss=0.2305, lr=0.003727, batch_cost=0.9235, reader_cost=0.0002 | ETA 03:25:37 2020-12-17 06:03:08 [INFO] [TRAIN] epoch=41, iter=26650/40000, loss=0.2243, lr=0.003725, batch_cost=1.0343, reader_cost=0.0002 | ETA 03:50:08 2020-12-17 06:03:17 [INFO] [TRAIN] epoch=41, iter=26660/40000, loss=0.1347, lr=0.003722, batch_cost=0.8982, reader_cost=0.0003 | ETA 03:19:41 2020-12-17 06:03:27 [INFO] [TRAIN] epoch=41, iter=26670/40000, loss=0.1981, lr=0.003720, batch_cost=0.9123, reader_cost=0.0001 | ETA 03:22:41 2020-12-17 06:03:35 [INFO] [TRAIN] epoch=41, iter=26680/40000, loss=0.2635, lr=0.003717, batch_cost=0.8809, reader_cost=0.0002 | ETA 03:15:33 2020-12-17 06:03:45 [INFO] [TRAIN] epoch=41, iter=26690/40000, loss=0.1974, lr=0.003715, batch_cost=0.9579, reader_cost=0.0002 | ETA 03:32:29 2020-12-17 06:03:54 [INFO] [TRAIN] epoch=41, iter=26700/40000, loss=0.2497, lr=0.003712, batch_cost=0.8744, reader_cost=0.0001 | ETA 03:13:49 2020-12-17 06:04:03 [INFO] [TRAIN] epoch=41, iter=26710/40000, loss=0.1197, lr=0.003710, batch_cost=0.9025, reader_cost=0.0002 | ETA 03:19:54 2020-12-17 06:04:12 [INFO] [TRAIN] epoch=41, iter=26720/40000, loss=0.1859, lr=0.003707, batch_cost=0.9121, reader_cost=0.0001 | ETA 03:21:52 2020-12-17 06:04:21 [INFO] [TRAIN] epoch=41, iter=26730/40000, loss=0.1942, lr=0.003705, batch_cost=0.8808, reader_cost=0.0002 | ETA 03:14:48 2020-12-17 06:04:29 [INFO] [TRAIN] epoch=41, iter=26740/40000, loss=0.1842, lr=0.003702, batch_cost=0.8870, reader_cost=0.0007 | ETA 03:16:01 2020-12-17 06:04:38 [INFO] [TRAIN] epoch=41, iter=26750/40000, loss=0.2189, lr=0.003700, batch_cost=0.8535, reader_cost=0.0005 | ETA 03:08:28 2020-12-17 06:04:47 [INFO] [TRAIN] epoch=41, iter=26760/40000, loss=0.1481, lr=0.003697, batch_cost=0.8663, reader_cost=0.0015 | ETA 03:11:09 2020-12-17 06:04:55 [INFO] [TRAIN] epoch=41, iter=26770/40000, loss=0.2393, lr=0.003695, batch_cost=0.8251, reader_cost=0.0001 | ETA 03:01:56 2020-12-17 06:05:02 [INFO] [TRAIN] epoch=41, iter=26780/40000, loss=0.2399, lr=0.003692, batch_cost=0.7316, reader_cost=0.0001 | ETA 02:41:11 2020-12-17 06:05:10 [INFO] [TRAIN] epoch=41, iter=26790/40000, loss=0.2625, lr=0.003690, batch_cost=0.7739, reader_cost=0.0001 | ETA 02:50:23 2020-12-17 06:05:18 [INFO] [TRAIN] epoch=41, iter=26800/40000, loss=0.2214, lr=0.003687, batch_cost=0.7915, reader_cost=0.0002 | ETA 02:54:08 2020-12-17 06:05:27 [INFO] [TRAIN] epoch=41, iter=26810/40000, loss=0.2212, lr=0.003685, batch_cost=0.9389, reader_cost=0.0001 | ETA 03:26:23 2020-12-17 06:05:37 [INFO] [TRAIN] epoch=41, iter=26820/40000, loss=0.2298, lr=0.003682, batch_cost=0.9224, reader_cost=0.0008 | ETA 03:22:37 2020-12-17 06:05:46 [INFO] [TRAIN] epoch=41, iter=26830/40000, loss=0.1794, lr=0.003680, batch_cost=0.9503, reader_cost=0.0002 | ETA 03:28:34 2020-12-17 06:05:55 [INFO] [TRAIN] epoch=41, iter=26840/40000, loss=0.2173, lr=0.003677, batch_cost=0.9345, reader_cost=0.0001 | ETA 03:24:58 2020-12-17 06:06:04 [INFO] [TRAIN] epoch=41, iter=26850/40000, loss=0.2234, lr=0.003675, batch_cost=0.8710, reader_cost=0.0001 | ETA 03:10:54 2020-12-17 06:06:13 [INFO] [TRAIN] epoch=41, iter=26860/40000, loss=0.1617, lr=0.003672, batch_cost=0.8931, reader_cost=0.0035 | ETA 03:15:35 2020-12-17 06:06:22 [INFO] [TRAIN] epoch=41, iter=26870/40000, loss=0.1930, lr=0.003670, batch_cost=0.9139, reader_cost=0.0002 | ETA 03:19:59 2020-12-17 06:06:32 [INFO] [TRAIN] epoch=41, iter=26880/40000, loss=0.1751, lr=0.003667, batch_cost=1.0088, reader_cost=0.0002 | ETA 03:40:35 2020-12-17 06:06:42 [INFO] [TRAIN] epoch=41, iter=26890/40000, loss=0.1610, lr=0.003665, batch_cost=1.0190, reader_cost=0.0012 | ETA 03:42:38 2020-12-17 06:06:52 [INFO] [TRAIN] epoch=41, iter=26900/40000, loss=0.1641, lr=0.003662, batch_cost=0.9640, reader_cost=0.0002 | ETA 03:30:28 2020-12-17 06:07:02 [INFO] [TRAIN] epoch=41, iter=26910/40000, loss=0.2145, lr=0.003659, batch_cost=0.9499, reader_cost=0.0014 | ETA 03:27:14 2020-12-17 06:07:11 [INFO] [TRAIN] epoch=41, iter=26920/40000, loss=0.2414, lr=0.003657, batch_cost=0.9554, reader_cost=0.0002 | ETA 03:28:17 2020-12-17 06:07:21 [INFO] [TRAIN] epoch=41, iter=26930/40000, loss=0.2649, lr=0.003654, batch_cost=1.0203, reader_cost=0.0002 | ETA 03:42:15 2020-12-17 06:07:31 [INFO] [TRAIN] epoch=41, iter=26940/40000, loss=0.1356, lr=0.003652, batch_cost=0.9500, reader_cost=0.0002 | ETA 03:26:47 2020-12-17 06:07:40 [INFO] [TRAIN] epoch=41, iter=26950/40000, loss=0.3027, lr=0.003649, batch_cost=0.9506, reader_cost=0.0001 | ETA 03:26:44 2020-12-17 06:07:50 [INFO] [TRAIN] epoch=41, iter=26960/40000, loss=0.2330, lr=0.003647, batch_cost=0.9312, reader_cost=0.0001 | ETA 03:22:22 2020-12-17 06:08:00 [INFO] [TRAIN] epoch=41, iter=26970/40000, loss=0.3156, lr=0.003644, batch_cost=0.9999, reader_cost=0.0015 | ETA 03:37:08 2020-12-17 06:08:10 [INFO] [TRAIN] epoch=41, iter=26980/40000, loss=0.1449, lr=0.003642, batch_cost=1.0467, reader_cost=0.0002 | ETA 03:47:07 2020-12-17 06:08:20 [INFO] [TRAIN] epoch=41, iter=26990/40000, loss=0.1671, lr=0.003639, batch_cost=0.9883, reader_cost=0.0002 | ETA 03:34:17 2020-12-17 06:08:30 [INFO] [TRAIN] epoch=41, iter=27000/40000, loss=0.1986, lr=0.003637, batch_cost=0.9859, reader_cost=0.0001 | ETA 03:33:37 2020-12-17 06:08:30 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 06:09:20 [INFO] [EVAL] #Images=1449 mIoU=0.7636 Acc=0.9466 Kappa=0.8806 2020-12-17 06:09:20 [INFO] [EVAL] Class IoU: [0.9393 0.8833 0.4233 0.8989 0.668 0.6947 0.9454 0.8713 0.8875 0.4409 0.8632 0.483 0.8414 0.8857 0.8711 0.867 0.6421 0.8229 0.5198 0.8395 0.748 ] 2020-12-17 06:09:20 [INFO] [EVAL] Class Acc: [0.9604 0.9108 0.4407 0.9388 0.8094 0.9184 0.9718 0.9279 0.9449 0.6714 0.9214 0.9457 0.9238 0.9396 0.9435 0.9547 0.8707 0.903 0.7857 0.8983 0.947 ] 2020-12-17 06:09:28 [INFO] [EVAL] The model with the best validation mIoU (0.7669) was saved at iter 26000. 2020-12-17 06:09:37 [INFO] [TRAIN] epoch=41, iter=27010/40000, loss=0.2652, lr=0.003634, batch_cost=0.8703, reader_cost=0.0001 | ETA 03:08:24 2020-12-17 06:09:47 [INFO] [TRAIN] epoch=41, iter=27020/40000, loss=0.2081, lr=0.003632, batch_cost=0.9590, reader_cost=0.0002 | ETA 03:27:27 2020-12-17 06:09:56 [INFO] [TRAIN] epoch=41, iter=27030/40000, loss=0.1208, lr=0.003629, batch_cost=0.9062, reader_cost=0.0002 | ETA 03:15:53 2020-12-17 06:10:06 [INFO] [TRAIN] epoch=41, iter=27040/40000, loss=0.2274, lr=0.003627, batch_cost=0.9936, reader_cost=0.0001 | ETA 03:34:37 2020-12-17 06:10:15 [INFO] [TRAIN] epoch=41, iter=27050/40000, loss=0.2462, lr=0.003624, batch_cost=0.9771, reader_cost=0.0002 | ETA 03:30:53 2020-12-17 06:10:24 [INFO] [TRAIN] epoch=41, iter=27060/40000, loss=0.3554, lr=0.003622, batch_cost=0.8960, reader_cost=0.0001 | ETA 03:13:13 2020-12-17 06:10:33 [INFO] [TRAIN] epoch=41, iter=27070/40000, loss=0.2380, lr=0.003619, batch_cost=0.8600, reader_cost=0.0001 | ETA 03:05:20 2020-12-17 06:10:41 [INFO] [TRAIN] epoch=41, iter=27080/40000, loss=0.1636, lr=0.003617, batch_cost=0.8167, reader_cost=0.0001 | ETA 02:55:52 2020-12-17 06:10:49 [INFO] [TRAIN] epoch=41, iter=27090/40000, loss=0.2359, lr=0.003614, batch_cost=0.7618, reader_cost=0.0005 | ETA 02:43:54 2020-12-17 06:10:57 [INFO] [TRAIN] epoch=41, iter=27100/40000, loss=0.2314, lr=0.003612, batch_cost=0.7772, reader_cost=0.0001 | ETA 02:47:05 2020-12-17 06:11:04 [INFO] [TRAIN] epoch=42, iter=27110/40000, loss=0.2336, lr=0.003609, batch_cost=0.7368, reader_cost=0.0203 | ETA 02:38:17 2020-12-17 06:11:11 [INFO] [TRAIN] epoch=42, iter=27120/40000, loss=0.1254, lr=0.003607, batch_cost=0.7102, reader_cost=0.0001 | ETA 02:32:27 2020-12-17 06:11:20 [INFO] [TRAIN] epoch=42, iter=27130/40000, loss=0.1481, lr=0.003604, batch_cost=0.8820, reader_cost=0.0001 | ETA 03:09:10 2020-12-17 06:11:29 [INFO] [TRAIN] epoch=42, iter=27140/40000, loss=0.1827, lr=0.003602, batch_cost=0.8720, reader_cost=0.0001 | ETA 03:06:53 2020-12-17 06:11:38 [INFO] [TRAIN] epoch=42, iter=27150/40000, loss=0.1956, lr=0.003599, batch_cost=0.9325, reader_cost=0.0001 | ETA 03:19:43 2020-12-17 06:11:49 [INFO] [TRAIN] epoch=42, iter=27160/40000, loss=0.2002, lr=0.003597, batch_cost=1.0722, reader_cost=0.0002 | ETA 03:49:26 2020-12-17 06:11:58 [INFO] [TRAIN] epoch=42, iter=27170/40000, loss=0.2879, lr=0.003594, batch_cost=0.9273, reader_cost=0.0002 | ETA 03:18:17 2020-12-17 06:12:08 [INFO] [TRAIN] epoch=42, iter=27180/40000, loss=0.2036, lr=0.003591, batch_cost=1.0061, reader_cost=0.0001 | ETA 03:34:58 2020-12-17 06:12:17 [INFO] [TRAIN] epoch=42, iter=27190/40000, loss=0.2137, lr=0.003589, batch_cost=0.8736, reader_cost=0.0001 | ETA 03:06:30 2020-12-17 06:12:26 [INFO] [TRAIN] epoch=42, iter=27200/40000, loss=0.2346, lr=0.003586, batch_cost=0.9229, reader_cost=0.0002 | ETA 03:16:52 2020-12-17 06:12:36 [INFO] [TRAIN] epoch=42, iter=27210/40000, loss=0.1861, lr=0.003584, batch_cost=0.9685, reader_cost=0.0002 | ETA 03:26:27 2020-12-17 06:12:45 [INFO] [TRAIN] epoch=42, iter=27220/40000, loss=0.2180, lr=0.003581, batch_cost=0.9321, reader_cost=0.0001 | ETA 03:18:31 2020-12-17 06:12:56 [INFO] [TRAIN] epoch=42, iter=27230/40000, loss=0.2430, lr=0.003579, batch_cost=1.0752, reader_cost=0.0002 | ETA 03:48:50 2020-12-17 06:13:06 [INFO] [TRAIN] epoch=42, iter=27240/40000, loss=0.1676, lr=0.003576, batch_cost=0.9928, reader_cost=0.0001 | ETA 03:31:08 2020-12-17 06:13:16 [INFO] [TRAIN] epoch=42, iter=27250/40000, loss=0.2422, lr=0.003574, batch_cost=1.0115, reader_cost=0.0005 | ETA 03:34:56 2020-12-17 06:13:25 [INFO] [TRAIN] epoch=42, iter=27260/40000, loss=0.2548, lr=0.003571, batch_cost=0.9572, reader_cost=0.0014 | ETA 03:23:14 2020-12-17 06:13:35 [INFO] [TRAIN] epoch=42, iter=27270/40000, loss=0.1924, lr=0.003569, batch_cost=0.9878, reader_cost=0.0002 | ETA 03:29:34 2020-12-17 06:13:44 [INFO] [TRAIN] epoch=42, iter=27280/40000, loss=0.3262, lr=0.003566, batch_cost=0.9140, reader_cost=0.0002 | ETA 03:13:45 2020-12-17 06:13:53 [INFO] [TRAIN] epoch=42, iter=27290/40000, loss=0.2043, lr=0.003564, batch_cost=0.8311, reader_cost=0.0001 | ETA 02:56:03 2020-12-17 06:14:02 [INFO] [TRAIN] epoch=42, iter=27300/40000, loss=0.1272, lr=0.003561, batch_cost=0.9805, reader_cost=0.0001 | ETA 03:27:31 2020-12-17 06:14:12 [INFO] [TRAIN] epoch=42, iter=27310/40000, loss=0.1782, lr=0.003559, batch_cost=0.9906, reader_cost=0.0002 | ETA 03:29:30 2020-12-17 06:14:22 [INFO] [TRAIN] epoch=42, iter=27320/40000, loss=0.2395, lr=0.003556, batch_cost=0.9449, reader_cost=0.0010 | ETA 03:19:41 2020-12-17 06:14:31 [INFO] [TRAIN] epoch=42, iter=27330/40000, loss=0.1525, lr=0.003554, batch_cost=0.9559, reader_cost=0.0002 | ETA 03:21:51 2020-12-17 06:14:41 [INFO] [TRAIN] epoch=42, iter=27340/40000, loss=0.4076, lr=0.003551, batch_cost=0.9440, reader_cost=0.0002 | ETA 03:19:10 2020-12-17 06:14:49 [INFO] [TRAIN] epoch=42, iter=27350/40000, loss=0.1583, lr=0.003549, batch_cost=0.8545, reader_cost=0.0002 | ETA 03:00:09 2020-12-17 06:14:59 [INFO] [TRAIN] epoch=42, iter=27360/40000, loss=0.2305, lr=0.003546, batch_cost=0.9611, reader_cost=0.0002 | ETA 03:22:27 2020-12-17 06:15:08 [INFO] [TRAIN] epoch=42, iter=27370/40000, loss=0.1902, lr=0.003544, batch_cost=0.9259, reader_cost=0.0002 | ETA 03:14:53 2020-12-17 06:15:17 [INFO] [TRAIN] epoch=42, iter=27380/40000, loss=0.1829, lr=0.003541, batch_cost=0.8375, reader_cost=0.0002 | ETA 02:56:09 2020-12-17 06:15:26 [INFO] [TRAIN] epoch=42, iter=27390/40000, loss=0.2889, lr=0.003539, batch_cost=0.9153, reader_cost=0.0015 | ETA 03:12:22 2020-12-17 06:15:34 [INFO] [TRAIN] epoch=42, iter=27400/40000, loss=0.2001, lr=0.003536, batch_cost=0.8101, reader_cost=0.0001 | ETA 02:50:07 2020-12-17 06:15:43 [INFO] [TRAIN] epoch=42, iter=27410/40000, loss=0.1822, lr=0.003533, batch_cost=0.9367, reader_cost=0.0002 | ETA 03:16:33 2020-12-17 06:15:52 [INFO] [TRAIN] epoch=42, iter=27420/40000, loss=0.2226, lr=0.003531, batch_cost=0.8701, reader_cost=0.0012 | ETA 03:02:26 2020-12-17 06:16:00 [INFO] [TRAIN] epoch=42, iter=27430/40000, loss=0.2245, lr=0.003528, batch_cost=0.8454, reader_cost=0.0002 | ETA 02:57:06 2020-12-17 06:16:10 [INFO] [TRAIN] epoch=42, iter=27440/40000, loss=0.2283, lr=0.003526, batch_cost=0.9139, reader_cost=0.0001 | ETA 03:11:18 2020-12-17 06:16:19 [INFO] [TRAIN] epoch=42, iter=27450/40000, loss=0.1849, lr=0.003523, batch_cost=0.9147, reader_cost=0.0001 | ETA 03:11:18 2020-12-17 06:16:28 [INFO] [TRAIN] epoch=42, iter=27460/40000, loss=0.2212, lr=0.003521, batch_cost=0.9131, reader_cost=0.0001 | ETA 03:10:50 2020-12-17 06:16:37 [INFO] [TRAIN] epoch=42, iter=27470/40000, loss=0.2373, lr=0.003518, batch_cost=0.9460, reader_cost=0.0002 | ETA 03:17:33 2020-12-17 06:16:46 [INFO] [TRAIN] epoch=42, iter=27480/40000, loss=0.3064, lr=0.003516, batch_cost=0.8870, reader_cost=0.0001 | ETA 03:05:05 2020-12-17 06:16:55 [INFO] [TRAIN] epoch=42, iter=27490/40000, loss=0.2545, lr=0.003513, batch_cost=0.8616, reader_cost=0.0001 | ETA 02:59:39 2020-12-17 06:17:03 [INFO] [TRAIN] epoch=42, iter=27500/40000, loss=0.1947, lr=0.003511, batch_cost=0.8025, reader_cost=0.0010 | ETA 02:47:10 2020-12-17 06:17:10 [INFO] [TRAIN] epoch=42, iter=27510/40000, loss=0.2402, lr=0.003508, batch_cost=0.6950, reader_cost=0.0001 | ETA 02:24:40 2020-12-17 06:17:18 [INFO] [TRAIN] epoch=42, iter=27520/40000, loss=0.3369, lr=0.003506, batch_cost=0.8714, reader_cost=0.0001 | ETA 03:01:14 2020-12-17 06:17:26 [INFO] [TRAIN] epoch=42, iter=27530/40000, loss=0.3058, lr=0.003503, batch_cost=0.7911, reader_cost=0.0015 | ETA 02:44:24 2020-12-17 06:17:35 [INFO] [TRAIN] epoch=42, iter=27540/40000, loss=0.2010, lr=0.003501, batch_cost=0.8381, reader_cost=0.0002 | ETA 02:54:03 2020-12-17 06:17:44 [INFO] [TRAIN] epoch=42, iter=27550/40000, loss=0.1735, lr=0.003498, batch_cost=0.9203, reader_cost=0.0001 | ETA 03:10:57 2020-12-17 06:17:53 [INFO] [TRAIN] epoch=42, iter=27560/40000, loss=0.1722, lr=0.003496, batch_cost=0.9355, reader_cost=0.0002 | ETA 03:13:57 2020-12-17 06:18:02 [INFO] [TRAIN] epoch=42, iter=27570/40000, loss=0.2715, lr=0.003493, batch_cost=0.8620, reader_cost=0.0002 | ETA 02:58:34 2020-12-17 06:18:13 [INFO] [TRAIN] epoch=42, iter=27580/40000, loss=0.2371, lr=0.003490, batch_cost=1.1246, reader_cost=0.0002 | ETA 03:52:47 2020-12-17 06:18:24 [INFO] [TRAIN] epoch=42, iter=27590/40000, loss=0.1891, lr=0.003488, batch_cost=1.0921, reader_cost=0.0001 | ETA 03:45:53 2020-12-17 06:18:33 [INFO] [TRAIN] epoch=42, iter=27600/40000, loss=0.3229, lr=0.003485, batch_cost=0.9084, reader_cost=0.0002 | ETA 03:07:44 2020-12-17 06:18:42 [INFO] [TRAIN] epoch=42, iter=27610/40000, loss=0.3858, lr=0.003483, batch_cost=0.9083, reader_cost=0.0002 | ETA 03:07:33 2020-12-17 06:18:52 [INFO] [TRAIN] epoch=42, iter=27620/40000, loss=0.2389, lr=0.003480, batch_cost=0.9962, reader_cost=0.0006 | ETA 03:25:33 2020-12-17 06:19:03 [INFO] [TRAIN] epoch=42, iter=27630/40000, loss=0.1672, lr=0.003478, batch_cost=1.0553, reader_cost=0.0002 | ETA 03:37:33 2020-12-17 06:19:13 [INFO] [TRAIN] epoch=42, iter=27640/40000, loss=0.2522, lr=0.003475, batch_cost=1.0116, reader_cost=0.0002 | ETA 03:28:23 2020-12-17 06:19:23 [INFO] [TRAIN] epoch=42, iter=27650/40000, loss=0.2062, lr=0.003473, batch_cost=1.0509, reader_cost=0.0001 | ETA 03:36:18 2020-12-17 06:19:33 [INFO] [TRAIN] epoch=42, iter=27660/40000, loss=0.3047, lr=0.003470, batch_cost=0.9923, reader_cost=0.0002 | ETA 03:24:05 2020-12-17 06:19:42 [INFO] [TRAIN] epoch=42, iter=27670/40000, loss=0.3612, lr=0.003468, batch_cost=0.8956, reader_cost=0.0002 | ETA 03:04:03 2020-12-17 06:19:52 [INFO] [TRAIN] epoch=42, iter=27680/40000, loss=0.2354, lr=0.003465, batch_cost=1.0156, reader_cost=0.0005 | ETA 03:28:32 2020-12-17 06:20:02 [INFO] [TRAIN] epoch=42, iter=27690/40000, loss=0.2678, lr=0.003463, batch_cost=0.9815, reader_cost=0.0002 | ETA 03:21:21 2020-12-17 06:20:12 [INFO] [TRAIN] epoch=42, iter=27700/40000, loss=0.2075, lr=0.003460, batch_cost=0.9667, reader_cost=0.0001 | ETA 03:18:10 2020-12-17 06:20:21 [INFO] [TRAIN] epoch=42, iter=27710/40000, loss=0.2010, lr=0.003458, batch_cost=0.9512, reader_cost=0.0014 | ETA 03:14:49 2020-12-17 06:20:31 [INFO] [TRAIN] epoch=42, iter=27720/40000, loss=0.2232, lr=0.003455, batch_cost=0.9267, reader_cost=0.0002 | ETA 03:09:39 2020-12-17 06:20:40 [INFO] [TRAIN] epoch=42, iter=27730/40000, loss=0.1863, lr=0.003453, batch_cost=0.9376, reader_cost=0.0002 | ETA 03:11:44 2020-12-17 06:20:49 [INFO] [TRAIN] epoch=42, iter=27740/40000, loss=0.2299, lr=0.003450, batch_cost=0.8986, reader_cost=0.0001 | ETA 03:03:37 2020-12-17 06:20:58 [INFO] [TRAIN] epoch=42, iter=27750/40000, loss=0.2389, lr=0.003447, batch_cost=0.8991, reader_cost=0.0002 | ETA 03:03:33 2020-12-17 06:21:07 [INFO] [TRAIN] epoch=42, iter=27760/40000, loss=0.2503, lr=0.003445, batch_cost=0.9068, reader_cost=0.0002 | ETA 03:04:59 2020-12-17 06:21:17 [INFO] [TRAIN] epoch=43, iter=27770/40000, loss=0.1884, lr=0.003442, batch_cost=1.0212, reader_cost=0.0465 | ETA 03:28:09 2020-12-17 06:21:27 [INFO] [TRAIN] epoch=43, iter=27780/40000, loss=0.1585, lr=0.003440, batch_cost=0.9197, reader_cost=0.0002 | ETA 03:07:18 2020-12-17 06:21:35 [INFO] [TRAIN] epoch=43, iter=27790/40000, loss=0.1836, lr=0.003437, batch_cost=0.8920, reader_cost=0.0002 | ETA 03:01:30 2020-12-17 06:21:45 [INFO] [TRAIN] epoch=43, iter=27800/40000, loss=0.2469, lr=0.003435, batch_cost=0.9036, reader_cost=0.0014 | ETA 03:03:44 2020-12-17 06:21:55 [INFO] [TRAIN] epoch=43, iter=27810/40000, loss=0.2159, lr=0.003432, batch_cost=1.0116, reader_cost=0.0006 | ETA 03:25:30 2020-12-17 06:22:05 [INFO] [TRAIN] epoch=43, iter=27820/40000, loss=0.4053, lr=0.003430, batch_cost=1.0268, reader_cost=0.0002 | ETA 03:28:26 2020-12-17 06:22:14 [INFO] [TRAIN] epoch=43, iter=27830/40000, loss=0.1745, lr=0.003427, batch_cost=0.8965, reader_cost=0.0014 | ETA 03:01:50 2020-12-17 06:22:22 [INFO] [TRAIN] epoch=43, iter=27840/40000, loss=0.2402, lr=0.003425, batch_cost=0.8367, reader_cost=0.0001 | ETA 02:49:34 2020-12-17 06:22:32 [INFO] [TRAIN] epoch=43, iter=27850/40000, loss=0.2539, lr=0.003422, batch_cost=0.9634, reader_cost=0.0001 | ETA 03:15:05 2020-12-17 06:22:41 [INFO] [TRAIN] epoch=43, iter=27860/40000, loss=0.3551, lr=0.003420, batch_cost=0.9221, reader_cost=0.0001 | ETA 03:06:34 2020-12-17 06:22:50 [INFO] [TRAIN] epoch=43, iter=27870/40000, loss=0.1989, lr=0.003417, batch_cost=0.9388, reader_cost=0.0010 | ETA 03:09:47 2020-12-17 06:23:00 [INFO] [TRAIN] epoch=43, iter=27880/40000, loss=0.2813, lr=0.003415, batch_cost=0.9405, reader_cost=0.0002 | ETA 03:09:59 2020-12-17 06:23:09 [INFO] [TRAIN] epoch=43, iter=27890/40000, loss=0.1688, lr=0.003412, batch_cost=0.8951, reader_cost=0.0001 | ETA 03:00:39 2020-12-17 06:23:17 [INFO] [TRAIN] epoch=43, iter=27900/40000, loss=0.2612, lr=0.003409, batch_cost=0.8473, reader_cost=0.0005 | ETA 02:50:52 2020-12-17 06:23:26 [INFO] [TRAIN] epoch=43, iter=27910/40000, loss=0.1817, lr=0.003407, batch_cost=0.8289, reader_cost=0.0001 | ETA 02:47:01 2020-12-17 06:23:35 [INFO] [TRAIN] epoch=43, iter=27920/40000, loss=0.2894, lr=0.003404, batch_cost=0.9637, reader_cost=0.0001 | ETA 03:14:01 2020-12-17 06:23:44 [INFO] [TRAIN] epoch=43, iter=27930/40000, loss=0.1460, lr=0.003402, batch_cost=0.8365, reader_cost=0.0002 | ETA 02:48:16 2020-12-17 06:23:53 [INFO] [TRAIN] epoch=43, iter=27940/40000, loss=0.2361, lr=0.003399, batch_cost=0.9793, reader_cost=0.0001 | ETA 03:16:49 2020-12-17 06:24:03 [INFO] [TRAIN] epoch=43, iter=27950/40000, loss=0.1983, lr=0.003397, batch_cost=0.9275, reader_cost=0.0001 | ETA 03:06:15 2020-12-17 06:24:12 [INFO] [TRAIN] epoch=43, iter=27960/40000, loss=0.2607, lr=0.003394, batch_cost=0.9789, reader_cost=0.0002 | ETA 03:16:25 2020-12-17 06:24:22 [INFO] [TRAIN] epoch=43, iter=27970/40000, loss=0.2102, lr=0.003392, batch_cost=0.9568, reader_cost=0.0002 | ETA 03:11:50 2020-12-17 06:24:32 [INFO] [TRAIN] epoch=43, iter=27980/40000, loss=0.3166, lr=0.003389, batch_cost=0.9861, reader_cost=0.0002 | ETA 03:17:32 2020-12-17 06:24:42 [INFO] [TRAIN] epoch=43, iter=27990/40000, loss=0.3234, lr=0.003387, batch_cost=0.9676, reader_cost=0.0012 | ETA 03:13:40 2020-12-17 06:24:50 [INFO] [TRAIN] epoch=43, iter=28000/40000, loss=0.3534, lr=0.003384, batch_cost=0.8570, reader_cost=0.0001 | ETA 02:51:23 2020-12-17 06:24:50 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 06:25:43 [INFO] [EVAL] #Images=1449 mIoU=0.7324 Acc=0.9413 Kappa=0.8699 2020-12-17 06:25:43 [INFO] [EVAL] Class IoU: [0.9393 0.8787 0.4329 0.858 0.5548 0.7389 0.9413 0.8543 0.8641 0.4243 0.7877 0.6053 0.7068 0.8654 0.8275 0.8715 0.5867 0.5332 0.4809 0.8677 0.7618] 2020-12-17 06:25:43 [INFO] [EVAL] Class Acc: [0.9637 0.9624 0.4493 0.96 0.5932 0.8932 0.9733 0.9231 0.9385 0.618 0.972 0.8699 0.7513 0.9347 0.9506 0.9491 0.6367 0.9876 0.8192 0.9257 0.9543] 2020-12-17 06:25:54 [INFO] [EVAL] The model with the best validation mIoU (0.7669) was saved at iter 26000. 2020-12-17 06:26:04 [INFO] [TRAIN] epoch=43, iter=28010/40000, loss=0.2506, lr=0.003382, batch_cost=1.0657, reader_cost=0.0001 | ETA 03:32:57 2020-12-17 06:26:14 [INFO] [TRAIN] epoch=43, iter=28020/40000, loss=0.1965, lr=0.003379, batch_cost=1.0155, reader_cost=0.0002 | ETA 03:22:45 2020-12-17 06:26:24 [INFO] [TRAIN] epoch=43, iter=28030/40000, loss=0.1994, lr=0.003376, batch_cost=0.9367, reader_cost=0.0002 | ETA 03:06:52 2020-12-17 06:26:33 [INFO] [TRAIN] epoch=43, iter=28040/40000, loss=0.2013, lr=0.003374, batch_cost=0.9407, reader_cost=0.0001 | ETA 03:07:31 2020-12-17 06:26:43 [INFO] [TRAIN] epoch=43, iter=28050/40000, loss=0.2044, lr=0.003371, batch_cost=1.0013, reader_cost=0.0014 | ETA 03:19:25 2020-12-17 06:26:53 [INFO] [TRAIN] epoch=43, iter=28060/40000, loss=0.3452, lr=0.003369, batch_cost=0.9490, reader_cost=0.0002 | ETA 03:08:50 2020-12-17 06:27:02 [INFO] [TRAIN] epoch=43, iter=28070/40000, loss=0.1974, lr=0.003366, batch_cost=0.9375, reader_cost=0.0001 | ETA 03:06:24 2020-12-17 06:27:12 [INFO] [TRAIN] epoch=43, iter=28080/40000, loss=0.1876, lr=0.003364, batch_cost=0.9691, reader_cost=0.0002 | ETA 03:12:31 2020-12-17 06:27:22 [INFO] [TRAIN] epoch=43, iter=28090/40000, loss=0.2005, lr=0.003361, batch_cost=1.0601, reader_cost=0.0002 | ETA 03:30:25 2020-12-17 06:27:33 [INFO] [TRAIN] epoch=43, iter=28100/40000, loss=0.2365, lr=0.003359, batch_cost=1.0405, reader_cost=0.0002 | ETA 03:26:22 2020-12-17 06:27:43 [INFO] [TRAIN] epoch=43, iter=28110/40000, loss=0.2316, lr=0.003356, batch_cost=1.0450, reader_cost=0.0011 | ETA 03:27:05 2020-12-17 06:27:52 [INFO] [TRAIN] epoch=43, iter=28120/40000, loss=0.2929, lr=0.003354, batch_cost=0.8832, reader_cost=0.0001 | ETA 02:54:52 2020-12-17 06:28:00 [INFO] [TRAIN] epoch=43, iter=28130/40000, loss=0.2112, lr=0.003351, batch_cost=0.8330, reader_cost=0.0001 | ETA 02:44:48 2020-12-17 06:28:09 [INFO] [TRAIN] epoch=43, iter=28140/40000, loss=0.2120, lr=0.003349, batch_cost=0.8731, reader_cost=0.0002 | ETA 02:52:34 2020-12-17 06:28:18 [INFO] [TRAIN] epoch=43, iter=28150/40000, loss=0.1689, lr=0.003346, batch_cost=0.9101, reader_cost=0.0005 | ETA 02:59:44 2020-12-17 06:28:27 [INFO] [TRAIN] epoch=43, iter=28160/40000, loss=0.2983, lr=0.003343, batch_cost=0.8618, reader_cost=0.0001 | ETA 02:50:04 2020-12-17 06:28:37 [INFO] [TRAIN] epoch=43, iter=28170/40000, loss=0.2233, lr=0.003341, batch_cost=1.0397, reader_cost=0.0001 | ETA 03:25:00 2020-12-17 06:28:45 [INFO] [TRAIN] epoch=43, iter=28180/40000, loss=0.1610, lr=0.003338, batch_cost=0.7877, reader_cost=0.0001 | ETA 02:35:10 2020-12-17 06:28:53 [INFO] [TRAIN] epoch=43, iter=28190/40000, loss=0.2442, lr=0.003336, batch_cost=0.7839, reader_cost=0.0001 | ETA 02:34:17 2020-12-17 06:29:01 [INFO] [TRAIN] epoch=43, iter=28200/40000, loss=0.1386, lr=0.003333, batch_cost=0.8467, reader_cost=0.0001 | ETA 02:46:30 2020-12-17 06:29:09 [INFO] [TRAIN] epoch=43, iter=28210/40000, loss=0.1421, lr=0.003331, batch_cost=0.7098, reader_cost=0.0001 | ETA 02:19:28 2020-12-17 06:29:17 [INFO] [TRAIN] epoch=43, iter=28220/40000, loss=0.2963, lr=0.003328, batch_cost=0.8425, reader_cost=0.0001 | ETA 02:45:25 2020-12-17 06:29:26 [INFO] [TRAIN] epoch=43, iter=28230/40000, loss=0.2492, lr=0.003326, batch_cost=0.8557, reader_cost=0.0001 | ETA 02:47:51 2020-12-17 06:29:35 [INFO] [TRAIN] epoch=43, iter=28240/40000, loss=0.2310, lr=0.003323, batch_cost=0.9344, reader_cost=0.0001 | ETA 03:03:08 2020-12-17 06:29:45 [INFO] [TRAIN] epoch=43, iter=28250/40000, loss=0.1919, lr=0.003321, batch_cost=1.0213, reader_cost=0.0001 | ETA 03:20:00 2020-12-17 06:29:55 [INFO] [TRAIN] epoch=43, iter=28260/40000, loss=0.2526, lr=0.003318, batch_cost=0.9909, reader_cost=0.0002 | ETA 03:13:52 2020-12-17 06:30:03 [INFO] [TRAIN] epoch=43, iter=28270/40000, loss=0.1701, lr=0.003315, batch_cost=0.8308, reader_cost=0.0001 | ETA 02:42:25 2020-12-17 06:30:11 [INFO] [TRAIN] epoch=43, iter=28280/40000, loss=0.2049, lr=0.003313, batch_cost=0.7787, reader_cost=0.0001 | ETA 02:32:06 2020-12-17 06:30:20 [INFO] [TRAIN] epoch=43, iter=28290/40000, loss=0.2732, lr=0.003310, batch_cost=0.8485, reader_cost=0.0001 | ETA 02:45:36 2020-12-17 06:30:27 [INFO] [TRAIN] epoch=43, iter=28300/40000, loss=0.2058, lr=0.003308, batch_cost=0.7469, reader_cost=0.0001 | ETA 02:25:38 2020-12-17 06:30:35 [INFO] [TRAIN] epoch=43, iter=28310/40000, loss=0.1948, lr=0.003305, batch_cost=0.7440, reader_cost=0.0001 | ETA 02:24:56 2020-12-17 06:30:42 [INFO] [TRAIN] epoch=43, iter=28320/40000, loss=0.2485, lr=0.003303, batch_cost=0.7406, reader_cost=0.0001 | ETA 02:24:09 2020-12-17 06:30:50 [INFO] [TRAIN] epoch=43, iter=28330/40000, loss=0.2840, lr=0.003300, batch_cost=0.8319, reader_cost=0.0001 | ETA 02:41:48 2020-12-17 06:30:58 [INFO] [TRAIN] epoch=43, iter=28340/40000, loss=0.2337, lr=0.003298, batch_cost=0.7868, reader_cost=0.0001 | ETA 02:32:54 2020-12-17 06:31:06 [INFO] [TRAIN] epoch=43, iter=28350/40000, loss=0.2596, lr=0.003295, batch_cost=0.7608, reader_cost=0.0001 | ETA 02:27:42 2020-12-17 06:31:14 [INFO] [TRAIN] epoch=43, iter=28360/40000, loss=0.2336, lr=0.003293, batch_cost=0.7935, reader_cost=0.0001 | ETA 02:33:55 2020-12-17 06:31:21 [INFO] [TRAIN] epoch=43, iter=28370/40000, loss=0.2446, lr=0.003290, batch_cost=0.7664, reader_cost=0.0001 | ETA 02:28:32 2020-12-17 06:31:29 [INFO] [TRAIN] epoch=43, iter=28380/40000, loss=0.2228, lr=0.003287, batch_cost=0.7549, reader_cost=0.0001 | ETA 02:26:11 2020-12-17 06:31:38 [INFO] [TRAIN] epoch=43, iter=28390/40000, loss=0.2156, lr=0.003285, batch_cost=0.8790, reader_cost=0.0001 | ETA 02:50:05 2020-12-17 06:31:46 [INFO] [TRAIN] epoch=43, iter=28400/40000, loss=0.1501, lr=0.003282, batch_cost=0.7878, reader_cost=0.0001 | ETA 02:32:18 2020-12-17 06:31:53 [INFO] [TRAIN] epoch=43, iter=28410/40000, loss=0.2172, lr=0.003280, batch_cost=0.7612, reader_cost=0.0001 | ETA 02:27:02 2020-12-17 06:32:01 [INFO] [TRAIN] epoch=43, iter=28420/40000, loss=0.3037, lr=0.003277, batch_cost=0.7637, reader_cost=0.0001 | ETA 02:27:23 2020-12-17 06:32:08 [INFO] [TRAIN] epoch=44, iter=28430/40000, loss=0.2154, lr=0.003275, batch_cost=0.7240, reader_cost=0.0261 | ETA 02:19:36 2020-12-17 06:32:15 [INFO] [TRAIN] epoch=44, iter=28440/40000, loss=0.1811, lr=0.003272, batch_cost=0.7150, reader_cost=0.0001 | ETA 02:17:45 2020-12-17 06:32:23 [INFO] [TRAIN] epoch=44, iter=28450/40000, loss=0.1794, lr=0.003270, batch_cost=0.7595, reader_cost=0.0001 | ETA 02:26:12 2020-12-17 06:32:30 [INFO] [TRAIN] epoch=44, iter=28460/40000, loss=0.1785, lr=0.003267, batch_cost=0.7413, reader_cost=0.0001 | ETA 02:22:34 2020-12-17 06:32:38 [INFO] [TRAIN] epoch=44, iter=28470/40000, loss=0.2249, lr=0.003265, batch_cost=0.7837, reader_cost=0.0001 | ETA 02:30:36 2020-12-17 06:32:54 [INFO] [TRAIN] epoch=44, iter=28480/40000, loss=0.2246, lr=0.003262, batch_cost=1.5987, reader_cost=0.0001 | ETA 05:06:56 2020-12-17 06:33:02 [INFO] [TRAIN] epoch=44, iter=28490/40000, loss=0.2160, lr=0.003259, batch_cost=0.7666, reader_cost=0.0001 | ETA 02:27:03 2020-12-17 06:33:09 [INFO] [TRAIN] epoch=44, iter=28500/40000, loss=0.2034, lr=0.003257, batch_cost=0.7309, reader_cost=0.0001 | ETA 02:20:05 2020-12-17 06:33:16 [INFO] [TRAIN] epoch=44, iter=28510/40000, loss=0.1593, lr=0.003254, batch_cost=0.7187, reader_cost=0.0001 | ETA 02:17:37 2020-12-17 06:33:23 [INFO] [TRAIN] epoch=44, iter=28520/40000, loss=0.2536, lr=0.003252, batch_cost=0.7268, reader_cost=0.0001 | ETA 02:19:03 2020-12-17 06:33:31 [INFO] [TRAIN] epoch=44, iter=28530/40000, loss=0.2029, lr=0.003249, batch_cost=0.7966, reader_cost=0.0001 | ETA 02:32:16 2020-12-17 06:33:39 [INFO] [TRAIN] epoch=44, iter=28540/40000, loss=0.1113, lr=0.003247, batch_cost=0.7130, reader_cost=0.0001 | ETA 02:16:11 2020-12-17 06:33:46 [INFO] [TRAIN] epoch=44, iter=28550/40000, loss=0.1903, lr=0.003244, batch_cost=0.7024, reader_cost=0.0001 | ETA 02:14:02 2020-12-17 06:33:53 [INFO] [TRAIN] epoch=44, iter=28560/40000, loss=0.1278, lr=0.003242, batch_cost=0.7043, reader_cost=0.0001 | ETA 02:14:16 2020-12-17 06:34:00 [INFO] [TRAIN] epoch=44, iter=28570/40000, loss=0.2002, lr=0.003239, batch_cost=0.6942, reader_cost=0.0001 | ETA 02:12:14 2020-12-17 06:34:07 [INFO] [TRAIN] epoch=44, iter=28580/40000, loss=0.1766, lr=0.003237, batch_cost=0.7472, reader_cost=0.0001 | ETA 02:22:12 2020-12-17 06:34:14 [INFO] [TRAIN] epoch=44, iter=28590/40000, loss=0.1426, lr=0.003234, batch_cost=0.7073, reader_cost=0.0001 | ETA 02:14:30 2020-12-17 06:34:21 [INFO] [TRAIN] epoch=44, iter=28600/40000, loss=0.1603, lr=0.003231, batch_cost=0.7274, reader_cost=0.0001 | ETA 02:18:11 2020-12-17 06:34:29 [INFO] [TRAIN] epoch=44, iter=28610/40000, loss=0.1323, lr=0.003229, batch_cost=0.7268, reader_cost=0.0001 | ETA 02:17:58 2020-12-17 06:34:36 [INFO] [TRAIN] epoch=44, iter=28620/40000, loss=0.1560, lr=0.003226, batch_cost=0.7116, reader_cost=0.0001 | ETA 02:14:57 2020-12-17 06:34:43 [INFO] [TRAIN] epoch=44, iter=28630/40000, loss=0.1566, lr=0.003224, batch_cost=0.6917, reader_cost=0.0001 | ETA 02:11:04 2020-12-17 06:34:50 [INFO] [TRAIN] epoch=44, iter=28640/40000, loss=0.1517, lr=0.003221, batch_cost=0.7011, reader_cost=0.0001 | ETA 02:12:44 2020-12-17 06:34:57 [INFO] [TRAIN] epoch=44, iter=28650/40000, loss=0.1692, lr=0.003219, batch_cost=0.7017, reader_cost=0.0001 | ETA 02:12:44 2020-12-17 06:35:04 [INFO] [TRAIN] epoch=44, iter=28660/40000, loss=0.1357, lr=0.003216, batch_cost=0.6977, reader_cost=0.0001 | ETA 02:11:52 2020-12-17 06:35:11 [INFO] [TRAIN] epoch=44, iter=28670/40000, loss=0.1985, lr=0.003214, batch_cost=0.6975, reader_cost=0.0001 | ETA 02:11:42 2020-12-17 06:35:20 [INFO] [TRAIN] epoch=44, iter=28680/40000, loss=0.2687, lr=0.003211, batch_cost=0.9145, reader_cost=0.0001 | ETA 02:52:32 2020-12-17 06:35:37 [INFO] [TRAIN] epoch=44, iter=28690/40000, loss=0.2158, lr=0.003208, batch_cost=1.7267, reader_cost=0.0001 | ETA 05:25:29 2020-12-17 06:35:45 [INFO] [TRAIN] epoch=44, iter=28700/40000, loss=0.1889, lr=0.003206, batch_cost=0.7597, reader_cost=0.0001 | ETA 02:23:04 2020-12-17 06:35:52 [INFO] [TRAIN] epoch=44, iter=28710/40000, loss=0.2547, lr=0.003203, batch_cost=0.7020, reader_cost=0.0001 | ETA 02:12:05 2020-12-17 06:35:59 [INFO] [TRAIN] epoch=44, iter=28720/40000, loss=0.1752, lr=0.003201, batch_cost=0.6928, reader_cost=0.0001 | ETA 02:10:15 2020-12-17 06:36:06 [INFO] [TRAIN] epoch=44, iter=28730/40000, loss=0.2875, lr=0.003198, batch_cost=0.6994, reader_cost=0.0001 | ETA 02:11:22 2020-12-17 06:36:13 [INFO] [TRAIN] epoch=44, iter=28740/40000, loss=0.1601, lr=0.003196, batch_cost=0.6983, reader_cost=0.0001 | ETA 02:11:02 2020-12-17 06:36:23 [INFO] [TRAIN] epoch=44, iter=28750/40000, loss=0.1748, lr=0.003193, batch_cost=1.0462, reader_cost=0.0001 | ETA 03:16:09 2020-12-17 06:36:31 [INFO] [TRAIN] epoch=44, iter=28760/40000, loss=0.1909, lr=0.003191, batch_cost=0.7416, reader_cost=0.0001 | ETA 02:18:55 2020-12-17 06:36:38 [INFO] [TRAIN] epoch=44, iter=28770/40000, loss=0.1899, lr=0.003188, batch_cost=0.7257, reader_cost=0.0001 | ETA 02:15:49 2020-12-17 06:36:45 [INFO] [TRAIN] epoch=44, iter=28780/40000, loss=0.1789, lr=0.003185, batch_cost=0.7341, reader_cost=0.0001 | ETA 02:17:16 2020-12-17 06:36:52 [INFO] [TRAIN] epoch=44, iter=28790/40000, loss=0.1654, lr=0.003183, batch_cost=0.7274, reader_cost=0.0001 | ETA 02:15:53 2020-12-17 06:37:00 [INFO] [TRAIN] epoch=44, iter=28800/40000, loss=0.1907, lr=0.003180, batch_cost=0.7563, reader_cost=0.0001 | ETA 02:21:10 2020-12-17 06:37:13 [INFO] [TRAIN] epoch=44, iter=28810/40000, loss=0.1897, lr=0.003178, batch_cost=1.3338, reader_cost=0.0001 | ETA 04:08:45 2020-12-17 06:37:21 [INFO] [TRAIN] epoch=44, iter=28820/40000, loss=0.1879, lr=0.003175, batch_cost=0.7227, reader_cost=0.0007 | ETA 02:14:39 2020-12-17 06:37:28 [INFO] [TRAIN] epoch=44, iter=28830/40000, loss=0.2179, lr=0.003173, batch_cost=0.7034, reader_cost=0.0001 | ETA 02:10:57 2020-12-17 06:37:35 [INFO] [TRAIN] epoch=44, iter=28840/40000, loss=0.2616, lr=0.003170, batch_cost=0.6967, reader_cost=0.0001 | ETA 02:09:35 2020-12-17 06:37:45 [INFO] [TRAIN] epoch=44, iter=28850/40000, loss=0.2039, lr=0.003168, batch_cost=1.0142, reader_cost=0.0001 | ETA 03:08:27 2020-12-17 06:37:52 [INFO] [TRAIN] epoch=44, iter=28860/40000, loss=0.2599, lr=0.003165, batch_cost=0.7181, reader_cost=0.0001 | ETA 02:13:19 2020-12-17 06:37:59 [INFO] [TRAIN] epoch=44, iter=28870/40000, loss=0.2135, lr=0.003162, batch_cost=0.6930, reader_cost=0.0001 | ETA 02:08:32 2020-12-17 06:38:06 [INFO] [TRAIN] epoch=44, iter=28880/40000, loss=0.1837, lr=0.003160, batch_cost=0.7019, reader_cost=0.0001 | ETA 02:10:04 2020-12-17 06:38:13 [INFO] [TRAIN] epoch=44, iter=28890/40000, loss=0.1381, lr=0.003157, batch_cost=0.7168, reader_cost=0.0001 | ETA 02:12:43 2020-12-17 06:38:20 [INFO] [TRAIN] epoch=44, iter=28900/40000, loss=0.1753, lr=0.003155, batch_cost=0.6991, reader_cost=0.0001 | ETA 02:09:19 2020-12-17 06:38:27 [INFO] [TRAIN] epoch=44, iter=28910/40000, loss=0.1952, lr=0.003152, batch_cost=0.7001, reader_cost=0.0001 | ETA 02:09:24 2020-12-17 06:38:34 [INFO] [TRAIN] epoch=44, iter=28920/40000, loss=0.1717, lr=0.003150, batch_cost=0.7013, reader_cost=0.0001 | ETA 02:09:30 2020-12-17 06:38:41 [INFO] [TRAIN] epoch=44, iter=28930/40000, loss=0.1555, lr=0.003147, batch_cost=0.6995, reader_cost=0.0001 | ETA 02:09:03 2020-12-17 06:38:48 [INFO] [TRAIN] epoch=44, iter=28940/40000, loss=0.2023, lr=0.003145, batch_cost=0.6961, reader_cost=0.0001 | ETA 02:08:19 2020-12-17 06:38:55 [INFO] [TRAIN] epoch=44, iter=28950/40000, loss=0.1979, lr=0.003142, batch_cost=0.7044, reader_cost=0.0001 | ETA 02:09:43 2020-12-17 06:39:02 [INFO] [TRAIN] epoch=44, iter=28960/40000, loss=0.2353, lr=0.003139, batch_cost=0.7277, reader_cost=0.0001 | ETA 02:13:53 2020-12-17 06:39:09 [INFO] [TRAIN] epoch=44, iter=28970/40000, loss=0.1456, lr=0.003137, batch_cost=0.7175, reader_cost=0.0001 | ETA 02:11:54 2020-12-17 06:39:17 [INFO] [TRAIN] epoch=44, iter=28980/40000, loss=0.2293, lr=0.003134, batch_cost=0.7177, reader_cost=0.0001 | ETA 02:11:49 2020-12-17 06:39:24 [INFO] [TRAIN] epoch=44, iter=28990/40000, loss=0.2311, lr=0.003132, batch_cost=0.7420, reader_cost=0.0001 | ETA 02:16:09 2020-12-17 06:39:31 [INFO] [TRAIN] epoch=44, iter=29000/40000, loss=0.1761, lr=0.003129, batch_cost=0.7151, reader_cost=0.0001 | ETA 02:11:06 2020-12-17 06:39:31 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 06:40:02 [INFO] [EVAL] #Images=1449 mIoU=0.7522 Acc=0.9471 Kappa=0.8822 2020-12-17 06:40:02 [INFO] [EVAL] Class IoU: [0.944 0.9131 0.4294 0.8661 0.5816 0.6605 0.9162 0.8527 0.9012 0.4039 0.8186 0.5975 0.8343 0.8229 0.8091 0.8668 0.6192 0.8408 0.5205 0.8731 0.7244] 2020-12-17 06:40:02 [INFO] [EVAL] Class Acc: [0.9641 0.9346 0.4442 0.9149 0.6736 0.9275 0.9787 0.9108 0.9335 0.6912 0.9688 0.9002 0.913 0.8814 0.8909 0.9466 0.856 0.8926 0.8276 0.9556 0.8391] 2020-12-17 06:40:09 [INFO] [EVAL] The model with the best validation mIoU (0.7669) was saved at iter 26000. 2020-12-17 06:40:21 [INFO] [TRAIN] epoch=44, iter=29010/40000, loss=0.1886, lr=0.003127, batch_cost=1.2015, reader_cost=0.0001 | ETA 03:40:04 2020-12-17 06:40:28 [INFO] [TRAIN] epoch=44, iter=29020/40000, loss=0.1877, lr=0.003124, batch_cost=0.7163, reader_cost=0.0001 | ETA 02:11:05 2020-12-17 06:40:44 [INFO] [TRAIN] epoch=44, iter=29030/40000, loss=0.1806, lr=0.003122, batch_cost=1.5843, reader_cost=0.0001 | ETA 04:49:39 2020-12-17 06:40:57 [INFO] [TRAIN] epoch=44, iter=29040/40000, loss=0.1926, lr=0.003119, batch_cost=1.3098, reader_cost=0.0001 | ETA 03:59:15 2020-12-17 06:41:06 [INFO] [TRAIN] epoch=44, iter=29050/40000, loss=0.1667, lr=0.003116, batch_cost=0.9456, reader_cost=0.0001 | ETA 02:52:34 2020-12-17 06:41:16 [INFO] [TRAIN] epoch=44, iter=29060/40000, loss=0.1993, lr=0.003114, batch_cost=0.9364, reader_cost=0.0001 | ETA 02:50:43 2020-12-17 06:41:23 [INFO] [TRAIN] epoch=44, iter=29070/40000, loss=0.2149, lr=0.003111, batch_cost=0.7716, reader_cost=0.0001 | ETA 02:20:33 2020-12-17 06:41:30 [INFO] [TRAIN] epoch=44, iter=29080/40000, loss=0.2113, lr=0.003109, batch_cost=0.7002, reader_cost=0.0001 | ETA 02:07:26 2020-12-17 06:41:37 [INFO] [TRAIN] epoch=45, iter=29090/40000, loss=0.1665, lr=0.003106, batch_cost=0.6982, reader_cost=0.0169 | ETA 02:06:57 2020-12-17 06:41:44 [INFO] [TRAIN] epoch=45, iter=29100/40000, loss=0.1532, lr=0.003104, batch_cost=0.7053, reader_cost=0.0001 | ETA 02:08:07 2020-12-17 06:41:52 [INFO] [TRAIN] epoch=45, iter=29110/40000, loss=0.1525, lr=0.003101, batch_cost=0.7148, reader_cost=0.0001 | ETA 02:09:44 2020-12-17 06:41:59 [INFO] [TRAIN] epoch=45, iter=29120/40000, loss=0.1989, lr=0.003098, batch_cost=0.7203, reader_cost=0.0001 | ETA 02:10:36 2020-12-17 06:42:11 [INFO] [TRAIN] epoch=45, iter=29130/40000, loss=0.1432, lr=0.003096, batch_cost=1.2009, reader_cost=0.0001 | ETA 03:37:33 2020-12-17 06:42:18 [INFO] [TRAIN] epoch=45, iter=29140/40000, loss=0.1173, lr=0.003093, batch_cost=0.7058, reader_cost=0.0001 | ETA 02:07:44 2020-12-17 06:42:25 [INFO] [TRAIN] epoch=45, iter=29150/40000, loss=0.2005, lr=0.003091, batch_cost=0.7101, reader_cost=0.0001 | ETA 02:08:24 2020-12-17 06:42:32 [INFO] [TRAIN] epoch=45, iter=29160/40000, loss=0.1492, lr=0.003088, batch_cost=0.7026, reader_cost=0.0001 | ETA 02:06:56 2020-12-17 06:42:39 [INFO] [TRAIN] epoch=45, iter=29170/40000, loss=0.1635, lr=0.003086, batch_cost=0.7249, reader_cost=0.0001 | ETA 02:10:51 2020-12-17 06:42:46 [INFO] [TRAIN] epoch=45, iter=29180/40000, loss=0.1752, lr=0.003083, batch_cost=0.6998, reader_cost=0.0001 | ETA 02:06:11 2020-12-17 06:42:53 [INFO] [TRAIN] epoch=45, iter=29190/40000, loss=0.2018, lr=0.003081, batch_cost=0.7036, reader_cost=0.0001 | ETA 02:06:46 2020-12-17 06:43:00 [INFO] [TRAIN] epoch=45, iter=29200/40000, loss=0.1903, lr=0.003078, batch_cost=0.6992, reader_cost=0.0001 | ETA 02:05:51 2020-12-17 06:43:07 [INFO] [TRAIN] epoch=45, iter=29210/40000, loss=0.2342, lr=0.003075, batch_cost=0.6960, reader_cost=0.0001 | ETA 02:05:10 2020-12-17 06:43:14 [INFO] [TRAIN] epoch=45, iter=29220/40000, loss=0.1611, lr=0.003073, batch_cost=0.7075, reader_cost=0.0001 | ETA 02:07:07 2020-12-17 06:43:22 [INFO] [TRAIN] epoch=45, iter=29230/40000, loss=0.1803, lr=0.003070, batch_cost=0.7562, reader_cost=0.0041 | ETA 02:15:43 2020-12-17 06:43:29 [INFO] [TRAIN] epoch=45, iter=29240/40000, loss=0.2039, lr=0.003068, batch_cost=0.7006, reader_cost=0.0001 | ETA 02:05:38 2020-12-17 06:43:36 [INFO] [TRAIN] epoch=45, iter=29250/40000, loss=0.1197, lr=0.003065, batch_cost=0.7058, reader_cost=0.0001 | ETA 02:06:27 2020-12-17 06:43:43 [INFO] [TRAIN] epoch=45, iter=29260/40000, loss=0.1676, lr=0.003063, batch_cost=0.7102, reader_cost=0.0001 | ETA 02:07:07 2020-12-17 06:43:50 [INFO] [TRAIN] epoch=45, iter=29270/40000, loss=0.1620, lr=0.003060, batch_cost=0.7063, reader_cost=0.0001 | ETA 02:06:19 2020-12-17 06:43:57 [INFO] [TRAIN] epoch=45, iter=29280/40000, loss=0.1798, lr=0.003057, batch_cost=0.7148, reader_cost=0.0001 | ETA 02:07:43 2020-12-17 06:44:04 [INFO] [TRAIN] epoch=45, iter=29290/40000, loss=0.1690, lr=0.003055, batch_cost=0.7155, reader_cost=0.0001 | ETA 02:07:42 2020-12-17 06:44:11 [INFO] [TRAIN] epoch=45, iter=29300/40000, loss=0.2128, lr=0.003052, batch_cost=0.7021, reader_cost=0.0001 | ETA 02:05:12 2020-12-17 06:44:18 [INFO] [TRAIN] epoch=45, iter=29310/40000, loss=0.1892, lr=0.003050, batch_cost=0.7003, reader_cost=0.0001 | ETA 02:04:46 2020-12-17 06:44:25 [INFO] [TRAIN] epoch=45, iter=29320/40000, loss=0.1832, lr=0.003047, batch_cost=0.6972, reader_cost=0.0001 | ETA 02:04:06 2020-12-17 06:44:32 [INFO] [TRAIN] epoch=45, iter=29330/40000, loss=0.2058, lr=0.003045, batch_cost=0.7083, reader_cost=0.0001 | ETA 02:05:57 2020-12-17 06:44:40 [INFO] [TRAIN] epoch=45, iter=29340/40000, loss=0.1669, lr=0.003042, batch_cost=0.7197, reader_cost=0.0001 | ETA 02:07:51 2020-12-17 06:44:47 [INFO] [TRAIN] epoch=45, iter=29350/40000, loss=0.1662, lr=0.003039, batch_cost=0.6969, reader_cost=0.0001 | ETA 02:03:41 2020-12-17 06:44:54 [INFO] [TRAIN] epoch=45, iter=29360/40000, loss=0.1570, lr=0.003037, batch_cost=0.7261, reader_cost=0.0001 | ETA 02:08:45 2020-12-17 06:45:01 [INFO] [TRAIN] epoch=45, iter=29370/40000, loss=0.1418, lr=0.003034, batch_cost=0.7024, reader_cost=0.0001 | ETA 02:04:26 2020-12-17 06:45:08 [INFO] [TRAIN] epoch=45, iter=29380/40000, loss=0.1626, lr=0.003032, batch_cost=0.7017, reader_cost=0.0001 | ETA 02:04:12 2020-12-17 06:45:16 [INFO] [TRAIN] epoch=45, iter=29390/40000, loss=0.1637, lr=0.003029, batch_cost=0.8469, reader_cost=0.0001 | ETA 02:29:45 2020-12-17 06:45:24 [INFO] [TRAIN] epoch=45, iter=29400/40000, loss=0.1880, lr=0.003027, batch_cost=0.7464, reader_cost=0.0001 | ETA 02:11:51 2020-12-17 06:45:31 [INFO] [TRAIN] epoch=45, iter=29410/40000, loss=0.1437, lr=0.003024, batch_cost=0.7047, reader_cost=0.0001 | ETA 02:04:23 2020-12-17 06:45:38 [INFO] [TRAIN] epoch=45, iter=29420/40000, loss=0.2565, lr=0.003021, batch_cost=0.7140, reader_cost=0.0001 | ETA 02:05:54 2020-12-17 06:45:45 [INFO] [TRAIN] epoch=45, iter=29430/40000, loss=0.1730, lr=0.003019, batch_cost=0.7035, reader_cost=0.0001 | ETA 02:03:56 2020-12-17 06:45:52 [INFO] [TRAIN] epoch=45, iter=29440/40000, loss=0.1545, lr=0.003016, batch_cost=0.7033, reader_cost=0.0001 | ETA 02:03:46 2020-12-17 06:46:00 [INFO] [TRAIN] epoch=45, iter=29450/40000, loss=0.1430, lr=0.003014, batch_cost=0.7555, reader_cost=0.0001 | ETA 02:12:50 2020-12-17 06:46:07 [INFO] [TRAIN] epoch=45, iter=29460/40000, loss=0.2070, lr=0.003011, batch_cost=0.7041, reader_cost=0.0001 | ETA 02:03:41 2020-12-17 06:46:14 [INFO] [TRAIN] epoch=45, iter=29470/40000, loss=0.1962, lr=0.003009, batch_cost=0.7012, reader_cost=0.0001 | ETA 02:03:03 2020-12-17 06:46:21 [INFO] [TRAIN] epoch=45, iter=29480/40000, loss=0.1461, lr=0.003006, batch_cost=0.6993, reader_cost=0.0001 | ETA 02:02:36 2020-12-17 06:46:28 [INFO] [TRAIN] epoch=45, iter=29490/40000, loss=0.2254, lr=0.003003, batch_cost=0.6991, reader_cost=0.0001 | ETA 02:02:27 2020-12-17 06:46:35 [INFO] [TRAIN] epoch=45, iter=29500/40000, loss=0.1491, lr=0.003001, batch_cost=0.6985, reader_cost=0.0001 | ETA 02:02:14 2020-12-17 06:46:42 [INFO] [TRAIN] epoch=45, iter=29510/40000, loss=0.1646, lr=0.002998, batch_cost=0.7000, reader_cost=0.0001 | ETA 02:02:23 2020-12-17 06:46:49 [INFO] [TRAIN] epoch=45, iter=29520/40000, loss=0.1699, lr=0.002996, batch_cost=0.6998, reader_cost=0.0001 | ETA 02:02:13 2020-12-17 06:46:56 [INFO] [TRAIN] epoch=45, iter=29530/40000, loss=0.1262, lr=0.002993, batch_cost=0.6991, reader_cost=0.0001 | ETA 02:01:59 2020-12-17 06:47:03 [INFO] [TRAIN] epoch=45, iter=29540/40000, loss=0.1799, lr=0.002991, batch_cost=0.7047, reader_cost=0.0001 | ETA 02:02:51 2020-12-17 06:47:10 [INFO] [TRAIN] epoch=45, iter=29550/40000, loss=0.1718, lr=0.002988, batch_cost=0.6996, reader_cost=0.0001 | ETA 02:01:50 2020-12-17 06:47:17 [INFO] [TRAIN] epoch=45, iter=29560/40000, loss=0.1300, lr=0.002985, batch_cost=0.7315, reader_cost=0.0001 | ETA 02:07:16 2020-12-17 06:47:25 [INFO] [TRAIN] epoch=45, iter=29570/40000, loss=0.2268, lr=0.002983, batch_cost=0.8334, reader_cost=0.0027 | ETA 02:24:51 2020-12-17 06:47:33 [INFO] [TRAIN] epoch=45, iter=29580/40000, loss=0.1253, lr=0.002980, batch_cost=0.7924, reader_cost=0.0062 | ETA 02:17:36 2020-12-17 06:47:43 [INFO] [TRAIN] epoch=45, iter=29590/40000, loss=0.1683, lr=0.002978, batch_cost=1.0032, reader_cost=0.0001 | ETA 02:54:03 2020-12-17 06:47:50 [INFO] [TRAIN] epoch=45, iter=29600/40000, loss=0.2200, lr=0.002975, batch_cost=0.7040, reader_cost=0.0018 | ETA 02:02:01 2020-12-17 06:47:57 [INFO] [TRAIN] epoch=45, iter=29610/40000, loss=0.1840, lr=0.002973, batch_cost=0.6960, reader_cost=0.0001 | ETA 02:00:31 2020-12-17 06:48:04 [INFO] [TRAIN] epoch=45, iter=29620/40000, loss=0.1889, lr=0.002970, batch_cost=0.6909, reader_cost=0.0001 | ETA 01:59:31 2020-12-17 06:48:11 [INFO] [TRAIN] epoch=45, iter=29630/40000, loss=0.1757, lr=0.002967, batch_cost=0.6906, reader_cost=0.0001 | ETA 01:59:21 2020-12-17 06:48:18 [INFO] [TRAIN] epoch=45, iter=29640/40000, loss=0.2167, lr=0.002965, batch_cost=0.7015, reader_cost=0.0001 | ETA 02:01:07 2020-12-17 06:48:25 [INFO] [TRAIN] epoch=45, iter=29650/40000, loss=0.1930, lr=0.002962, batch_cost=0.7051, reader_cost=0.0001 | ETA 02:01:38 2020-12-17 06:48:32 [INFO] [TRAIN] epoch=45, iter=29660/40000, loss=0.1376, lr=0.002960, batch_cost=0.7231, reader_cost=0.0001 | ETA 02:04:37 2020-12-17 06:48:39 [INFO] [TRAIN] epoch=45, iter=29670/40000, loss=0.1678, lr=0.002957, batch_cost=0.6919, reader_cost=0.0001 | ETA 01:59:07 2020-12-17 06:48:46 [INFO] [TRAIN] epoch=45, iter=29680/40000, loss=0.2198, lr=0.002955, batch_cost=0.6887, reader_cost=0.0001 | ETA 01:58:27 2020-12-17 06:48:53 [INFO] [TRAIN] epoch=45, iter=29690/40000, loss=0.2359, lr=0.002952, batch_cost=0.6889, reader_cost=0.0004 | ETA 01:58:23 2020-12-17 06:49:00 [INFO] [TRAIN] epoch=45, iter=29700/40000, loss=0.2044, lr=0.002949, batch_cost=0.7024, reader_cost=0.0001 | ETA 02:00:34 2020-12-17 06:49:07 [INFO] [TRAIN] epoch=45, iter=29710/40000, loss=0.1536, lr=0.002947, batch_cost=0.7045, reader_cost=0.0001 | ETA 02:00:49 2020-12-17 06:49:14 [INFO] [TRAIN] epoch=45, iter=29720/40000, loss=0.1821, lr=0.002944, batch_cost=0.7004, reader_cost=0.0001 | ETA 01:59:59 2020-12-17 06:49:24 [INFO] [TRAIN] epoch=45, iter=29730/40000, loss=0.1748, lr=0.002942, batch_cost=0.9704, reader_cost=0.0001 | ETA 02:46:05 2020-12-17 06:49:32 [INFO] [TRAIN] epoch=45, iter=29740/40000, loss=0.1691, lr=0.002939, batch_cost=0.7917, reader_cost=0.0011 | ETA 02:15:22 2020-12-17 06:49:39 [INFO] [TRAIN] epoch=46, iter=29750/40000, loss=0.1521, lr=0.002937, batch_cost=0.7085, reader_cost=0.0215 | ETA 02:01:02 2020-12-17 06:49:47 [INFO] [TRAIN] epoch=46, iter=29760/40000, loss=0.1344, lr=0.002934, batch_cost=0.8158, reader_cost=0.0001 | ETA 02:19:13 2020-12-17 06:49:55 [INFO] [TRAIN] epoch=46, iter=29770/40000, loss=0.1929, lr=0.002931, batch_cost=0.8181, reader_cost=0.0009 | ETA 02:19:29 2020-12-17 06:50:02 [INFO] [TRAIN] epoch=46, iter=29780/40000, loss=0.1446, lr=0.002929, batch_cost=0.7056, reader_cost=0.0001 | ETA 02:00:11 2020-12-17 06:50:10 [INFO] [TRAIN] epoch=46, iter=29790/40000, loss=0.1348, lr=0.002926, batch_cost=0.7273, reader_cost=0.0001 | ETA 02:03:45 2020-12-17 06:50:17 [INFO] [TRAIN] epoch=46, iter=29800/40000, loss=0.1475, lr=0.002924, batch_cost=0.7095, reader_cost=0.0001 | ETA 02:00:37 2020-12-17 06:50:24 [INFO] [TRAIN] epoch=46, iter=29810/40000, loss=0.1806, lr=0.002921, batch_cost=0.7011, reader_cost=0.0001 | ETA 01:59:04 2020-12-17 06:50:31 [INFO] [TRAIN] epoch=46, iter=29820/40000, loss=0.1428, lr=0.002918, batch_cost=0.7040, reader_cost=0.0001 | ETA 01:59:26 2020-12-17 06:50:43 [INFO] [TRAIN] epoch=46, iter=29830/40000, loss=0.1533, lr=0.002916, batch_cost=1.2400, reader_cost=0.0001 | ETA 03:30:10 2020-12-17 06:50:50 [INFO] [TRAIN] epoch=46, iter=29840/40000, loss=0.1142, lr=0.002913, batch_cost=0.7086, reader_cost=0.0001 | ETA 01:59:58 2020-12-17 06:50:58 [INFO] [TRAIN] epoch=46, iter=29850/40000, loss=0.1048, lr=0.002911, batch_cost=0.7537, reader_cost=0.0001 | ETA 02:07:30 2020-12-17 06:51:06 [INFO] [TRAIN] epoch=46, iter=29860/40000, loss=0.1780, lr=0.002908, batch_cost=0.8187, reader_cost=0.0001 | ETA 02:18:21 2020-12-17 06:51:13 [INFO] [TRAIN] epoch=46, iter=29870/40000, loss=0.1688, lr=0.002906, batch_cost=0.7370, reader_cost=0.0001 | ETA 02:04:26 2020-12-17 06:51:20 [INFO] [TRAIN] epoch=46, iter=29880/40000, loss=0.1636, lr=0.002903, batch_cost=0.7046, reader_cost=0.0001 | ETA 01:58:50 2020-12-17 06:51:27 [INFO] [TRAIN] epoch=46, iter=29890/40000, loss=0.1671, lr=0.002900, batch_cost=0.6938, reader_cost=0.0001 | ETA 01:56:53 2020-12-17 06:51:34 [INFO] [TRAIN] epoch=46, iter=29900/40000, loss=0.1136, lr=0.002898, batch_cost=0.6945, reader_cost=0.0001 | ETA 01:56:54 2020-12-17 06:51:41 [INFO] [TRAIN] epoch=46, iter=29910/40000, loss=0.1677, lr=0.002895, batch_cost=0.7027, reader_cost=0.0001 | ETA 01:58:10 2020-12-17 06:51:48 [INFO] [TRAIN] epoch=46, iter=29920/40000, loss=0.2108, lr=0.002893, batch_cost=0.7039, reader_cost=0.0001 | ETA 01:58:15 2020-12-17 06:51:55 [INFO] [TRAIN] epoch=46, iter=29930/40000, loss=0.1449, lr=0.002890, batch_cost=0.7119, reader_cost=0.0001 | ETA 01:59:28 2020-12-17 06:52:03 [INFO] [TRAIN] epoch=46, iter=29940/40000, loss=0.1797, lr=0.002888, batch_cost=0.7304, reader_cost=0.0001 | ETA 02:02:28 2020-12-17 06:52:10 [INFO] [TRAIN] epoch=46, iter=29950/40000, loss=0.1699, lr=0.002885, batch_cost=0.7142, reader_cost=0.0001 | ETA 01:59:37 2020-12-17 06:52:17 [INFO] [TRAIN] epoch=46, iter=29960/40000, loss=0.1965, lr=0.002882, batch_cost=0.7480, reader_cost=0.0001 | ETA 02:05:10 2020-12-17 06:52:25 [INFO] [TRAIN] epoch=46, iter=29970/40000, loss=0.1255, lr=0.002880, batch_cost=0.7482, reader_cost=0.0001 | ETA 02:05:04 2020-12-17 06:52:32 [INFO] [TRAIN] epoch=46, iter=29980/40000, loss=0.2235, lr=0.002877, batch_cost=0.7121, reader_cost=0.0001 | ETA 01:58:55 2020-12-17 06:52:40 [INFO] [TRAIN] epoch=46, iter=29990/40000, loss=0.2314, lr=0.002875, batch_cost=0.7798, reader_cost=0.0001 | ETA 02:10:05 2020-12-17 06:52:47 [INFO] [TRAIN] epoch=46, iter=30000/40000, loss=0.2535, lr=0.002872, batch_cost=0.7006, reader_cost=0.0001 | ETA 01:56:46 2020-12-17 06:52:47 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 06:53:15 [INFO] [EVAL] #Images=1449 mIoU=0.7605 Acc=0.9453 Kappa=0.8797 2020-12-17 06:53:15 [INFO] [EVAL] Class IoU: [0.9423 0.8709 0.4165 0.8705 0.6199 0.7459 0.9161 0.8766 0.9051 0.4208 0.8069 0.6019 0.7602 0.828 0.8566 0.8242 0.6657 0.8645 0.5423 0.8445 0.792 ] 2020-12-17 06:53:15 [INFO] [EVAL] Class Acc: [0.9686 0.9035 0.4264 0.9694 0.6872 0.889 0.9498 0.9208 0.9449 0.786 0.9607 0.8812 0.7952 0.87 0.9054 0.9375 0.8445 0.9068 0.7795 0.8692 0.9416] 2020-12-17 06:53:22 [INFO] [EVAL] The model with the best validation mIoU (0.7669) was saved at iter 26000. 2020-12-17 06:53:29 [INFO] [TRAIN] epoch=46, iter=30010/40000, loss=0.1803, lr=0.002869, batch_cost=0.6933, reader_cost=0.0001 | ETA 01:55:26 2020-12-17 06:53:36 [INFO] [TRAIN] epoch=46, iter=30020/40000, loss=0.1726, lr=0.002867, batch_cost=0.7003, reader_cost=0.0001 | ETA 01:56:28 2020-12-17 06:53:43 [INFO] [TRAIN] epoch=46, iter=30030/40000, loss=0.2270, lr=0.002864, batch_cost=0.7018, reader_cost=0.0001 | ETA 01:56:36 2020-12-17 06:53:50 [INFO] [TRAIN] epoch=46, iter=30040/40000, loss=0.1658, lr=0.002862, batch_cost=0.7001, reader_cost=0.0001 | ETA 01:56:13 2020-12-17 06:53:57 [INFO] [TRAIN] epoch=46, iter=30050/40000, loss=0.1250, lr=0.002859, batch_cost=0.6962, reader_cost=0.0001 | ETA 01:55:27 2020-12-17 06:54:04 [INFO] [TRAIN] epoch=46, iter=30060/40000, loss=0.1029, lr=0.002856, batch_cost=0.6933, reader_cost=0.0001 | ETA 01:54:51 2020-12-17 06:54:11 [INFO] [TRAIN] epoch=46, iter=30070/40000, loss=0.1634, lr=0.002854, batch_cost=0.7162, reader_cost=0.0001 | ETA 01:58:32 2020-12-17 06:54:18 [INFO] [TRAIN] epoch=46, iter=30080/40000, loss=0.1320, lr=0.002851, batch_cost=0.6991, reader_cost=0.0001 | ETA 01:55:34 2020-12-17 06:54:25 [INFO] [TRAIN] epoch=46, iter=30090/40000, loss=0.1149, lr=0.002849, batch_cost=0.7048, reader_cost=0.0001 | ETA 01:56:24 2020-12-17 06:54:32 [INFO] [TRAIN] epoch=46, iter=30100/40000, loss=0.1669, lr=0.002846, batch_cost=0.7244, reader_cost=0.0001 | ETA 01:59:31 2020-12-17 06:54:39 [INFO] [TRAIN] epoch=46, iter=30110/40000, loss=0.1425, lr=0.002844, batch_cost=0.7145, reader_cost=0.0001 | ETA 01:57:46 2020-12-17 06:54:46 [INFO] [TRAIN] epoch=46, iter=30120/40000, loss=0.1984, lr=0.002841, batch_cost=0.7039, reader_cost=0.0001 | ETA 01:55:54 2020-12-17 06:54:53 [INFO] [TRAIN] epoch=46, iter=30130/40000, loss=0.1476, lr=0.002838, batch_cost=0.7017, reader_cost=0.0001 | ETA 01:55:25 2020-12-17 06:55:00 [INFO] [TRAIN] epoch=46, iter=30140/40000, loss=0.1348, lr=0.002836, batch_cost=0.7199, reader_cost=0.0001 | ETA 01:58:18 2020-12-17 06:55:08 [INFO] [TRAIN] epoch=46, iter=30150/40000, loss=0.1603, lr=0.002833, batch_cost=0.7088, reader_cost=0.0001 | ETA 01:56:21 2020-12-17 06:55:15 [INFO] [TRAIN] epoch=46, iter=30160/40000, loss=0.1806, lr=0.002831, batch_cost=0.7027, reader_cost=0.0001 | ETA 01:55:14 2020-12-17 06:55:22 [INFO] [TRAIN] epoch=46, iter=30170/40000, loss=0.1778, lr=0.002828, batch_cost=0.7445, reader_cost=0.0001 | ETA 02:01:58 2020-12-17 06:55:29 [INFO] [TRAIN] epoch=46, iter=30180/40000, loss=0.1779, lr=0.002825, batch_cost=0.6963, reader_cost=0.0001 | ETA 01:53:57 2020-12-17 06:55:36 [INFO] [TRAIN] epoch=46, iter=30190/40000, loss=0.2054, lr=0.002823, batch_cost=0.7173, reader_cost=0.0001 | ETA 01:57:16 2020-12-17 06:55:44 [INFO] [TRAIN] epoch=46, iter=30200/40000, loss=0.1393, lr=0.002820, batch_cost=0.7635, reader_cost=0.0001 | ETA 02:04:42 2020-12-17 06:55:53 [INFO] [TRAIN] epoch=46, iter=30210/40000, loss=0.1580, lr=0.002818, batch_cost=0.9028, reader_cost=0.0001 | ETA 02:27:18 2020-12-17 06:56:00 [INFO] [TRAIN] epoch=46, iter=30220/40000, loss=0.1353, lr=0.002815, batch_cost=0.7048, reader_cost=0.0001 | ETA 01:54:53 2020-12-17 06:56:09 [INFO] [TRAIN] epoch=46, iter=30230/40000, loss=0.1213, lr=0.002812, batch_cost=0.8898, reader_cost=0.0001 | ETA 02:24:53 2020-12-17 06:56:20 [INFO] [TRAIN] epoch=46, iter=30240/40000, loss=0.1810, lr=0.002810, batch_cost=1.1194, reader_cost=0.0013 | ETA 03:02:04 2020-12-17 06:56:27 [INFO] [TRAIN] epoch=46, iter=30250/40000, loss=0.2039, lr=0.002807, batch_cost=0.7388, reader_cost=0.0001 | ETA 02:00:03 2020-12-17 06:56:34 [INFO] [TRAIN] epoch=46, iter=30260/40000, loss=0.1620, lr=0.002805, batch_cost=0.7006, reader_cost=0.0001 | ETA 01:53:44 2020-12-17 06:56:41 [INFO] [TRAIN] epoch=46, iter=30270/40000, loss=0.1753, lr=0.002802, batch_cost=0.6937, reader_cost=0.0001 | ETA 01:52:29 2020-12-17 06:56:48 [INFO] [TRAIN] epoch=46, iter=30280/40000, loss=0.2001, lr=0.002800, batch_cost=0.7042, reader_cost=0.0001 | ETA 01:54:05 2020-12-17 06:56:55 [INFO] [TRAIN] epoch=46, iter=30290/40000, loss=0.1654, lr=0.002797, batch_cost=0.7007, reader_cost=0.0001 | ETA 01:53:23 2020-12-17 06:57:03 [INFO] [TRAIN] epoch=46, iter=30300/40000, loss=0.1637, lr=0.002794, batch_cost=0.7957, reader_cost=0.0001 | ETA 02:08:38 2020-12-17 06:57:10 [INFO] [TRAIN] epoch=46, iter=30310/40000, loss=0.1897, lr=0.002792, batch_cost=0.7051, reader_cost=0.0001 | ETA 01:53:52 2020-12-17 06:57:18 [INFO] [TRAIN] epoch=46, iter=30320/40000, loss=0.1551, lr=0.002789, batch_cost=0.7324, reader_cost=0.0001 | ETA 01:58:09 2020-12-17 06:57:25 [INFO] [TRAIN] epoch=46, iter=30330/40000, loss=0.1940, lr=0.002787, batch_cost=0.7379, reader_cost=0.0001 | ETA 01:58:55 2020-12-17 06:57:32 [INFO] [TRAIN] epoch=46, iter=30340/40000, loss=0.2270, lr=0.002784, batch_cost=0.7180, reader_cost=0.0001 | ETA 01:55:35 2020-12-17 06:57:39 [INFO] [TRAIN] epoch=46, iter=30350/40000, loss=0.2107, lr=0.002781, batch_cost=0.6981, reader_cost=0.0001 | ETA 01:52:16 2020-12-17 06:57:46 [INFO] [TRAIN] epoch=46, iter=30360/40000, loss=0.2017, lr=0.002779, batch_cost=0.7174, reader_cost=0.0001 | ETA 01:55:16 2020-12-17 06:57:54 [INFO] [TRAIN] epoch=46, iter=30370/40000, loss=0.1267, lr=0.002776, batch_cost=0.7428, reader_cost=0.0001 | ETA 01:59:13 2020-12-17 06:58:01 [INFO] [TRAIN] epoch=46, iter=30380/40000, loss=0.1832, lr=0.002774, batch_cost=0.7116, reader_cost=0.0001 | ETA 01:54:05 2020-12-17 06:58:08 [INFO] [TRAIN] epoch=46, iter=30390/40000, loss=0.1716, lr=0.002771, batch_cost=0.7004, reader_cost=0.0001 | ETA 01:52:10 2020-12-17 06:58:15 [INFO] [TRAIN] epoch=46, iter=30400/40000, loss=0.1309, lr=0.002768, batch_cost=0.7025, reader_cost=0.0001 | ETA 01:52:24 2020-12-17 06:58:22 [INFO] [TRAIN] epoch=47, iter=30410/40000, loss=0.1390, lr=0.002766, batch_cost=0.7253, reader_cost=0.0214 | ETA 01:55:56 2020-12-17 06:58:29 [INFO] [TRAIN] epoch=47, iter=30420/40000, loss=0.1597, lr=0.002763, batch_cost=0.7052, reader_cost=0.0001 | ETA 01:52:36 2020-12-17 06:58:40 [INFO] [TRAIN] epoch=47, iter=30430/40000, loss=0.1525, lr=0.002761, batch_cost=1.1100, reader_cost=0.0009 | ETA 02:57:02 2020-12-17 06:58:47 [INFO] [TRAIN] epoch=47, iter=30440/40000, loss=0.1589, lr=0.002758, batch_cost=0.7078, reader_cost=0.0001 | ETA 01:52:46 2020-12-17 06:58:55 [INFO] [TRAIN] epoch=47, iter=30450/40000, loss=0.1382, lr=0.002755, batch_cost=0.7287, reader_cost=0.0001 | ETA 01:55:59 2020-12-17 06:59:02 [INFO] [TRAIN] epoch=47, iter=30460/40000, loss=0.1759, lr=0.002753, batch_cost=0.7356, reader_cost=0.0001 | ETA 01:56:57 2020-12-17 06:59:09 [INFO] [TRAIN] epoch=47, iter=30470/40000, loss=0.1171, lr=0.002750, batch_cost=0.6990, reader_cost=0.0013 | ETA 01:51:01 2020-12-17 06:59:16 [INFO] [TRAIN] epoch=47, iter=30480/40000, loss=0.2086, lr=0.002748, batch_cost=0.7004, reader_cost=0.0001 | ETA 01:51:07 2020-12-17 06:59:25 [INFO] [TRAIN] epoch=47, iter=30490/40000, loss=0.1797, lr=0.002745, batch_cost=0.8806, reader_cost=0.0005 | ETA 02:19:34 2020-12-17 06:59:32 [INFO] [TRAIN] epoch=47, iter=30500/40000, loss=0.2441, lr=0.002742, batch_cost=0.7008, reader_cost=0.0005 | ETA 01:50:57 2020-12-17 06:59:39 [INFO] [TRAIN] epoch=47, iter=30510/40000, loss=0.1648, lr=0.002740, batch_cost=0.7183, reader_cost=0.0001 | ETA 01:53:36 2020-12-17 06:59:47 [INFO] [TRAIN] epoch=47, iter=30520/40000, loss=0.1699, lr=0.002737, batch_cost=0.7493, reader_cost=0.0001 | ETA 01:58:23 2020-12-17 06:59:54 [INFO] [TRAIN] epoch=47, iter=30530/40000, loss=0.1987, lr=0.002735, batch_cost=0.7188, reader_cost=0.0001 | ETA 01:53:27 2020-12-17 07:00:01 [INFO] [TRAIN] epoch=47, iter=30540/40000, loss=0.1824, lr=0.002732, batch_cost=0.7004, reader_cost=0.0001 | ETA 01:50:25 2020-12-17 07:00:08 [INFO] [TRAIN] epoch=47, iter=30550/40000, loss=0.1845, lr=0.002729, batch_cost=0.7051, reader_cost=0.0001 | ETA 01:51:03 2020-12-17 07:00:15 [INFO] [TRAIN] epoch=47, iter=30560/40000, loss=0.1697, lr=0.002727, batch_cost=0.7150, reader_cost=0.0001 | ETA 01:52:29 2020-12-17 07:00:22 [INFO] [TRAIN] epoch=47, iter=30570/40000, loss=0.1602, lr=0.002724, batch_cost=0.6984, reader_cost=0.0001 | ETA 01:49:45 2020-12-17 07:00:29 [INFO] [TRAIN] epoch=47, iter=30580/40000, loss=0.1779, lr=0.002722, batch_cost=0.7030, reader_cost=0.0001 | ETA 01:50:22 2020-12-17 07:00:40 [INFO] [TRAIN] epoch=47, iter=30590/40000, loss=0.1061, lr=0.002719, batch_cost=1.0735, reader_cost=0.0001 | ETA 02:48:21 2020-12-17 07:00:47 [INFO] [TRAIN] epoch=47, iter=30600/40000, loss=0.2202, lr=0.002716, batch_cost=0.7193, reader_cost=0.0001 | ETA 01:52:41 2020-12-17 07:00:55 [INFO] [TRAIN] epoch=47, iter=30610/40000, loss=0.1708, lr=0.002714, batch_cost=0.7905, reader_cost=0.0001 | ETA 02:03:42 2020-12-17 07:01:02 [INFO] [TRAIN] epoch=47, iter=30620/40000, loss=0.1689, lr=0.002711, batch_cost=0.7166, reader_cost=0.0001 | ETA 01:52:01 2020-12-17 07:01:09 [INFO] [TRAIN] epoch=47, iter=30630/40000, loss=0.1642, lr=0.002709, batch_cost=0.7121, reader_cost=0.0001 | ETA 01:51:12 2020-12-17 07:01:16 [INFO] [TRAIN] epoch=47, iter=30640/40000, loss=0.2122, lr=0.002706, batch_cost=0.7096, reader_cost=0.0001 | ETA 01:50:41 2020-12-17 07:01:23 [INFO] [TRAIN] epoch=47, iter=30650/40000, loss=0.1337, lr=0.002703, batch_cost=0.7181, reader_cost=0.0001 | ETA 01:51:54 2020-12-17 07:01:30 [INFO] [TRAIN] epoch=47, iter=30660/40000, loss=0.1665, lr=0.002701, batch_cost=0.7033, reader_cost=0.0001 | ETA 01:49:28 2020-12-17 07:01:37 [INFO] [TRAIN] epoch=47, iter=30670/40000, loss=0.2161, lr=0.002698, batch_cost=0.7008, reader_cost=0.0001 | ETA 01:48:58 2020-12-17 07:01:44 [INFO] [TRAIN] epoch=47, iter=30680/40000, loss=0.1320, lr=0.002696, batch_cost=0.7032, reader_cost=0.0001 | ETA 01:49:14 2020-12-17 07:01:52 [INFO] [TRAIN] epoch=47, iter=30690/40000, loss=0.1872, lr=0.002693, batch_cost=0.7404, reader_cost=0.0006 | ETA 01:54:53 2020-12-17 07:01:59 [INFO] [TRAIN] epoch=47, iter=30700/40000, loss=0.1410, lr=0.002690, batch_cost=0.7586, reader_cost=0.0001 | ETA 01:57:34 2020-12-17 07:02:07 [INFO] [TRAIN] epoch=47, iter=30710/40000, loss=0.2456, lr=0.002688, batch_cost=0.7058, reader_cost=0.0001 | ETA 01:49:17 2020-12-17 07:02:14 [INFO] [TRAIN] epoch=47, iter=30720/40000, loss=0.1755, lr=0.002685, batch_cost=0.7051, reader_cost=0.0001 | ETA 01:49:03 2020-12-17 07:02:21 [INFO] [TRAIN] epoch=47, iter=30730/40000, loss=0.1319, lr=0.002683, batch_cost=0.7042, reader_cost=0.0001 | ETA 01:48:48 2020-12-17 07:02:28 [INFO] [TRAIN] epoch=47, iter=30740/40000, loss=0.1447, lr=0.002680, batch_cost=0.6993, reader_cost=0.0001 | ETA 01:47:55 2020-12-17 07:02:35 [INFO] [TRAIN] epoch=47, iter=30750/40000, loss=0.1613, lr=0.002677, batch_cost=0.7172, reader_cost=0.0001 | ETA 01:50:34 2020-12-17 07:02:42 [INFO] [TRAIN] epoch=47, iter=30760/40000, loss=0.1808, lr=0.002675, batch_cost=0.7275, reader_cost=0.0001 | ETA 01:52:02 2020-12-17 07:02:49 [INFO] [TRAIN] epoch=47, iter=30770/40000, loss=0.1331, lr=0.002672, batch_cost=0.7052, reader_cost=0.0001 | ETA 01:48:28 2020-12-17 07:02:57 [INFO] [TRAIN] epoch=47, iter=30780/40000, loss=0.1474, lr=0.002670, batch_cost=0.7947, reader_cost=0.0001 | ETA 02:02:07 2020-12-17 07:03:09 [INFO] [TRAIN] epoch=47, iter=30790/40000, loss=0.1568, lr=0.002667, batch_cost=1.2012, reader_cost=0.0001 | ETA 03:04:23 2020-12-17 07:03:16 [INFO] [TRAIN] epoch=47, iter=30800/40000, loss=0.2133, lr=0.002664, batch_cost=0.6977, reader_cost=0.0001 | ETA 01:46:58 2020-12-17 07:03:26 [INFO] [TRAIN] epoch=47, iter=30810/40000, loss=0.1491, lr=0.002662, batch_cost=1.0310, reader_cost=0.0001 | ETA 02:37:54 2020-12-17 07:03:34 [INFO] [TRAIN] epoch=47, iter=30820/40000, loss=0.1200, lr=0.002659, batch_cost=0.8062, reader_cost=0.0014 | ETA 02:03:20 2020-12-17 07:03:41 [INFO] [TRAIN] epoch=47, iter=30830/40000, loss=0.2113, lr=0.002657, batch_cost=0.7029, reader_cost=0.0001 | ETA 01:47:25 2020-12-17 07:03:49 [INFO] [TRAIN] epoch=47, iter=30840/40000, loss=0.1995, lr=0.002654, batch_cost=0.7322, reader_cost=0.0001 | ETA 01:51:46 2020-12-17 07:04:05 [INFO] [TRAIN] epoch=47, iter=30850/40000, loss=0.2023, lr=0.002651, batch_cost=1.6078, reader_cost=0.0001 | ETA 04:05:11 2020-12-17 07:04:22 [INFO] [TRAIN] epoch=47, iter=30860/40000, loss=0.2417, lr=0.002649, batch_cost=1.7356, reader_cost=0.0001 | ETA 04:24:23 2020-12-17 07:04:33 [INFO] [TRAIN] epoch=47, iter=30870/40000, loss=0.1208, lr=0.002646, batch_cost=1.0345, reader_cost=0.0015 | ETA 02:37:25 2020-12-17 07:04:40 [INFO] [TRAIN] epoch=47, iter=30880/40000, loss=0.2052, lr=0.002644, batch_cost=0.6999, reader_cost=0.0001 | ETA 01:46:22 2020-12-17 07:04:47 [INFO] [TRAIN] epoch=47, iter=30890/40000, loss=0.1449, lr=0.002641, batch_cost=0.7115, reader_cost=0.0001 | ETA 01:48:01 2020-12-17 07:04:55 [INFO] [TRAIN] epoch=47, iter=30900/40000, loss=0.1427, lr=0.002638, batch_cost=0.8538, reader_cost=0.0001 | ETA 02:09:29 2020-12-17 07:05:02 [INFO] [TRAIN] epoch=47, iter=30910/40000, loss=0.2035, lr=0.002636, batch_cost=0.6945, reader_cost=0.0001 | ETA 01:45:13 2020-12-17 07:05:09 [INFO] [TRAIN] epoch=47, iter=30920/40000, loss=0.2108, lr=0.002633, batch_cost=0.6943, reader_cost=0.0001 | ETA 01:45:04 2020-12-17 07:05:16 [INFO] [TRAIN] epoch=47, iter=30930/40000, loss=0.1663, lr=0.002630, batch_cost=0.7260, reader_cost=0.0001 | ETA 01:49:44 2020-12-17 07:05:23 [INFO] [TRAIN] epoch=47, iter=30940/40000, loss=0.1533, lr=0.002628, batch_cost=0.7015, reader_cost=0.0001 | ETA 01:45:55 2020-12-17 07:05:30 [INFO] [TRAIN] epoch=47, iter=30950/40000, loss=0.2343, lr=0.002625, batch_cost=0.6934, reader_cost=0.0001 | ETA 01:44:35 2020-12-17 07:05:37 [INFO] [TRAIN] epoch=47, iter=30960/40000, loss=0.1646, lr=0.002623, batch_cost=0.6912, reader_cost=0.0001 | ETA 01:44:08 2020-12-17 07:05:45 [INFO] [TRAIN] epoch=47, iter=30970/40000, loss=0.1846, lr=0.002620, batch_cost=0.7897, reader_cost=0.0001 | ETA 01:58:50 2020-12-17 07:05:52 [INFO] [TRAIN] epoch=47, iter=30980/40000, loss=0.1454, lr=0.002617, batch_cost=0.7030, reader_cost=0.0001 | ETA 01:45:41 2020-12-17 07:05:59 [INFO] [TRAIN] epoch=47, iter=30990/40000, loss=0.1335, lr=0.002615, batch_cost=0.7028, reader_cost=0.0001 | ETA 01:45:31 2020-12-17 07:06:06 [INFO] [TRAIN] epoch=47, iter=31000/40000, loss=0.1875, lr=0.002612, batch_cost=0.7215, reader_cost=0.0001 | ETA 01:48:13 2020-12-17 07:06:06 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 07:06:35 [INFO] [EVAL] #Images=1449 mIoU=0.7672 Acc=0.9483 Kappa=0.8842 2020-12-17 07:06:35 [INFO] [EVAL] Class IoU: [0.9406 0.891 0.4216 0.8806 0.6304 0.6766 0.938 0.8653 0.911 0.4399 0.8962 0.5705 0.861 0.8798 0.815 0.8712 0.5767 0.8926 0.5414 0.853 0.7581] 2020-12-17 07:06:35 [INFO] [EVAL] Class Acc: [0.9603 0.9509 0.4506 0.9363 0.7705 0.915 0.9846 0.9421 0.9673 0.7151 0.9772 0.8405 0.9141 0.9545 0.8978 0.9483 0.7213 0.9466 0.867 0.9297 0.9644] 2020-12-17 07:06:46 [INFO] [EVAL] The model with the best validation mIoU (0.7672) was saved at iter 31000. 2020-12-17 07:06:53 [INFO] [TRAIN] epoch=47, iter=31010/40000, loss=0.1638, lr=0.002610, batch_cost=0.7153, reader_cost=0.0001 | ETA 01:47:10 2020-12-17 07:07:02 [INFO] [TRAIN] epoch=47, iter=31020/40000, loss=0.1785, lr=0.002607, batch_cost=0.8772, reader_cost=0.0001 | ETA 02:11:16 2020-12-17 07:07:09 [INFO] [TRAIN] epoch=47, iter=31030/40000, loss=0.2753, lr=0.002604, batch_cost=0.6962, reader_cost=0.0001 | ETA 01:44:04 2020-12-17 07:07:16 [INFO] [TRAIN] epoch=47, iter=31040/40000, loss=0.1474, lr=0.002602, batch_cost=0.7050, reader_cost=0.0001 | ETA 01:45:16 2020-12-17 07:07:23 [INFO] [TRAIN] epoch=47, iter=31050/40000, loss=0.1847, lr=0.002599, batch_cost=0.6948, reader_cost=0.0001 | ETA 01:43:38 2020-12-17 07:07:31 [INFO] [TRAIN] epoch=47, iter=31060/40000, loss=0.1660, lr=0.002597, batch_cost=0.7500, reader_cost=0.0001 | ETA 01:51:45 2020-12-17 07:07:38 [INFO] [TRAIN] epoch=48, iter=31070/40000, loss=0.1714, lr=0.002594, batch_cost=0.6985, reader_cost=0.0199 | ETA 01:43:57 2020-12-17 07:07:45 [INFO] [TRAIN] epoch=48, iter=31080/40000, loss=0.1177, lr=0.002591, batch_cost=0.7129, reader_cost=0.0001 | ETA 01:45:59 2020-12-17 07:07:52 [INFO] [TRAIN] epoch=48, iter=31090/40000, loss=0.1593, lr=0.002589, batch_cost=0.7321, reader_cost=0.0001 | ETA 01:48:43 2020-12-17 07:07:59 [INFO] [TRAIN] epoch=48, iter=31100/40000, loss=0.1838, lr=0.002586, batch_cost=0.7177, reader_cost=0.0001 | ETA 01:46:27 2020-12-17 07:08:06 [INFO] [TRAIN] epoch=48, iter=31110/40000, loss=0.1294, lr=0.002583, batch_cost=0.7043, reader_cost=0.0001 | ETA 01:44:21 2020-12-17 07:08:13 [INFO] [TRAIN] epoch=48, iter=31120/40000, loss=0.1494, lr=0.002581, batch_cost=0.7113, reader_cost=0.0001 | ETA 01:45:16 2020-12-17 07:08:20 [INFO] [TRAIN] epoch=48, iter=31130/40000, loss=0.1183, lr=0.002578, batch_cost=0.6956, reader_cost=0.0001 | ETA 01:42:49 2020-12-17 07:08:27 [INFO] [TRAIN] epoch=48, iter=31140/40000, loss=0.1878, lr=0.002576, batch_cost=0.7018, reader_cost=0.0001 | ETA 01:43:38 2020-12-17 07:08:35 [INFO] [TRAIN] epoch=48, iter=31150/40000, loss=0.1291, lr=0.002573, batch_cost=0.7340, reader_cost=0.0001 | ETA 01:48:15 2020-12-17 07:08:42 [INFO] [TRAIN] epoch=48, iter=31160/40000, loss=0.1828, lr=0.002570, batch_cost=0.6998, reader_cost=0.0001 | ETA 01:43:06 2020-12-17 07:08:49 [INFO] [TRAIN] epoch=48, iter=31170/40000, loss=0.0980, lr=0.002568, batch_cost=0.7054, reader_cost=0.0001 | ETA 01:43:49 2020-12-17 07:08:56 [INFO] [TRAIN] epoch=48, iter=31180/40000, loss=0.1579, lr=0.002565, batch_cost=0.7001, reader_cost=0.0001 | ETA 01:42:54 2020-12-17 07:09:04 [INFO] [TRAIN] epoch=48, iter=31190/40000, loss=0.1135, lr=0.002563, batch_cost=0.8057, reader_cost=0.0001 | ETA 01:58:17 2020-12-17 07:09:11 [INFO] [TRAIN] epoch=48, iter=31200/40000, loss=0.1351, lr=0.002560, batch_cost=0.7051, reader_cost=0.0001 | ETA 01:43:25 2020-12-17 07:09:18 [INFO] [TRAIN] epoch=48, iter=31210/40000, loss=0.1975, lr=0.002557, batch_cost=0.7065, reader_cost=0.0001 | ETA 01:43:29 2020-12-17 07:09:25 [INFO] [TRAIN] epoch=48, iter=31220/40000, loss=0.1919, lr=0.002555, batch_cost=0.6905, reader_cost=0.0001 | ETA 01:41:02 2020-12-17 07:09:32 [INFO] [TRAIN] epoch=48, iter=31230/40000, loss=0.1601, lr=0.002552, batch_cost=0.6907, reader_cost=0.0001 | ETA 01:40:57 2020-12-17 07:09:39 [INFO] [TRAIN] epoch=48, iter=31240/40000, loss=0.1475, lr=0.002549, batch_cost=0.6942, reader_cost=0.0001 | ETA 01:41:21 2020-12-17 07:09:46 [INFO] [TRAIN] epoch=48, iter=31250/40000, loss=0.1573, lr=0.002547, batch_cost=0.7154, reader_cost=0.0019 | ETA 01:44:20 2020-12-17 07:09:53 [INFO] [TRAIN] epoch=48, iter=31260/40000, loss=0.1612, lr=0.002544, batch_cost=0.7131, reader_cost=0.0001 | ETA 01:43:52 2020-12-17 07:10:03 [INFO] [TRAIN] epoch=48, iter=31270/40000, loss=0.1616, lr=0.002542, batch_cost=0.9649, reader_cost=0.0001 | ETA 02:20:23 2020-12-17 07:10:10 [INFO] [TRAIN] epoch=48, iter=31280/40000, loss=0.1873, lr=0.002539, batch_cost=0.7803, reader_cost=0.0001 | ETA 01:53:24 2020-12-17 07:10:17 [INFO] [TRAIN] epoch=48, iter=31290/40000, loss=0.1390, lr=0.002536, batch_cost=0.7020, reader_cost=0.0001 | ETA 01:41:54 2020-12-17 07:10:25 [INFO] [TRAIN] epoch=48, iter=31300/40000, loss=0.1383, lr=0.002534, batch_cost=0.7649, reader_cost=0.0001 | ETA 01:50:54 2020-12-17 07:10:32 [INFO] [TRAIN] epoch=48, iter=31310/40000, loss=0.1196, lr=0.002531, batch_cost=0.7164, reader_cost=0.0001 | ETA 01:43:45 2020-12-17 07:10:39 [INFO] [TRAIN] epoch=48, iter=31320/40000, loss=0.1746, lr=0.002528, batch_cost=0.7022, reader_cost=0.0001 | ETA 01:41:35 2020-12-17 07:10:46 [INFO] [TRAIN] epoch=48, iter=31330/40000, loss=0.1400, lr=0.002526, batch_cost=0.7014, reader_cost=0.0001 | ETA 01:41:21 2020-12-17 07:10:53 [INFO] [TRAIN] epoch=48, iter=31340/40000, loss=0.1681, lr=0.002523, batch_cost=0.7104, reader_cost=0.0001 | ETA 01:42:31 2020-12-17 07:11:00 [INFO] [TRAIN] epoch=48, iter=31350/40000, loss=0.1700, lr=0.002521, batch_cost=0.7040, reader_cost=0.0001 | ETA 01:41:29 2020-12-17 07:11:07 [INFO] [TRAIN] epoch=48, iter=31360/40000, loss=0.1542, lr=0.002518, batch_cost=0.7073, reader_cost=0.0001 | ETA 01:41:50 2020-12-17 07:11:14 [INFO] [TRAIN] epoch=48, iter=31370/40000, loss=0.1731, lr=0.002515, batch_cost=0.7003, reader_cost=0.0001 | ETA 01:40:43 2020-12-17 07:11:22 [INFO] [TRAIN] epoch=48, iter=31380/40000, loss=0.1659, lr=0.002513, batch_cost=0.7128, reader_cost=0.0001 | ETA 01:42:23 2020-12-17 07:11:29 [INFO] [TRAIN] epoch=48, iter=31390/40000, loss=0.1382, lr=0.002510, batch_cost=0.7083, reader_cost=0.0001 | ETA 01:41:38 2020-12-17 07:11:37 [INFO] [TRAIN] epoch=48, iter=31400/40000, loss=0.1352, lr=0.002507, batch_cost=0.8102, reader_cost=0.0001 | ETA 01:56:08 2020-12-17 07:11:45 [INFO] [TRAIN] epoch=48, iter=31410/40000, loss=0.1211, lr=0.002505, batch_cost=0.8057, reader_cost=0.0001 | ETA 01:55:20 2020-12-17 07:11:53 [INFO] [TRAIN] epoch=48, iter=31420/40000, loss=0.1461, lr=0.002502, batch_cost=0.8386, reader_cost=0.0001 | ETA 01:59:55 2020-12-17 07:12:01 [INFO] [TRAIN] epoch=48, iter=31430/40000, loss=0.1405, lr=0.002500, batch_cost=0.7992, reader_cost=0.0004 | ETA 01:54:08 2020-12-17 07:12:08 [INFO] [TRAIN] epoch=48, iter=31440/40000, loss=0.1645, lr=0.002497, batch_cost=0.7043, reader_cost=0.0004 | ETA 01:40:28 2020-12-17 07:12:15 [INFO] [TRAIN] epoch=48, iter=31450/40000, loss=0.1235, lr=0.002494, batch_cost=0.7014, reader_cost=0.0001 | ETA 01:39:57 2020-12-17 07:12:22 [INFO] [TRAIN] epoch=48, iter=31460/40000, loss=0.1344, lr=0.002492, batch_cost=0.7072, reader_cost=0.0001 | ETA 01:40:39 2020-12-17 07:12:29 [INFO] [TRAIN] epoch=48, iter=31470/40000, loss=0.1463, lr=0.002489, batch_cost=0.7022, reader_cost=0.0001 | ETA 01:39:50 2020-12-17 07:12:36 [INFO] [TRAIN] epoch=48, iter=31480/40000, loss=0.1260, lr=0.002486, batch_cost=0.7062, reader_cost=0.0001 | ETA 01:40:16 2020-12-17 07:12:44 [INFO] [TRAIN] epoch=48, iter=31490/40000, loss=0.1439, lr=0.002484, batch_cost=0.7209, reader_cost=0.0001 | ETA 01:42:15 2020-12-17 07:12:51 [INFO] [TRAIN] epoch=48, iter=31500/40000, loss=0.1566, lr=0.002481, batch_cost=0.7122, reader_cost=0.0001 | ETA 01:40:53 2020-12-17 07:12:58 [INFO] [TRAIN] epoch=48, iter=31510/40000, loss=0.1609, lr=0.002479, batch_cost=0.6954, reader_cost=0.0001 | ETA 01:38:24 2020-12-17 07:13:05 [INFO] [TRAIN] epoch=48, iter=31520/40000, loss=0.1810, lr=0.002476, batch_cost=0.6984, reader_cost=0.0001 | ETA 01:38:42 2020-12-17 07:13:12 [INFO] [TRAIN] epoch=48, iter=31530/40000, loss=0.1272, lr=0.002473, batch_cost=0.7061, reader_cost=0.0001 | ETA 01:39:40 2020-12-17 07:13:19 [INFO] [TRAIN] epoch=48, iter=31540/40000, loss=0.1073, lr=0.002471, batch_cost=0.7639, reader_cost=0.0001 | ETA 01:47:42 2020-12-17 07:13:27 [INFO] [TRAIN] epoch=48, iter=31550/40000, loss=0.1116, lr=0.002468, batch_cost=0.7348, reader_cost=0.0001 | ETA 01:43:28 2020-12-17 07:13:34 [INFO] [TRAIN] epoch=48, iter=31560/40000, loss=0.1778, lr=0.002465, batch_cost=0.7110, reader_cost=0.0001 | ETA 01:40:00 2020-12-17 07:13:41 [INFO] [TRAIN] epoch=48, iter=31570/40000, loss=0.1442, lr=0.002463, batch_cost=0.7070, reader_cost=0.0001 | ETA 01:39:19 2020-12-17 07:13:48 [INFO] [TRAIN] epoch=48, iter=31580/40000, loss=0.1549, lr=0.002460, batch_cost=0.7219, reader_cost=0.0001 | ETA 01:41:18 2020-12-17 07:13:56 [INFO] [TRAIN] epoch=48, iter=31590/40000, loss=0.1411, lr=0.002458, batch_cost=0.7634, reader_cost=0.0001 | ETA 01:46:59 2020-12-17 07:14:03 [INFO] [TRAIN] epoch=48, iter=31600/40000, loss=0.1237, lr=0.002455, batch_cost=0.7048, reader_cost=0.0001 | ETA 01:38:40 2020-12-17 07:14:10 [INFO] [TRAIN] epoch=48, iter=31610/40000, loss=0.1487, lr=0.002452, batch_cost=0.7058, reader_cost=0.0001 | ETA 01:38:41 2020-12-17 07:14:17 [INFO] [TRAIN] epoch=48, iter=31620/40000, loss=0.1291, lr=0.002450, batch_cost=0.7072, reader_cost=0.0001 | ETA 01:38:46 2020-12-17 07:14:24 [INFO] [TRAIN] epoch=48, iter=31630/40000, loss=0.1333, lr=0.002447, batch_cost=0.7086, reader_cost=0.0001 | ETA 01:38:51 2020-12-17 07:14:31 [INFO] [TRAIN] epoch=48, iter=31640/40000, loss=0.1276, lr=0.002444, batch_cost=0.6989, reader_cost=0.0001 | ETA 01:37:23 2020-12-17 07:14:38 [INFO] [TRAIN] epoch=48, iter=31650/40000, loss=0.1672, lr=0.002442, batch_cost=0.7020, reader_cost=0.0001 | ETA 01:37:41 2020-12-17 07:14:46 [INFO] [TRAIN] epoch=48, iter=31660/40000, loss=0.1244, lr=0.002439, batch_cost=0.7510, reader_cost=0.0001 | ETA 01:44:23 2020-12-17 07:14:53 [INFO] [TRAIN] epoch=48, iter=31670/40000, loss=0.1180, lr=0.002437, batch_cost=0.7062, reader_cost=0.0001 | ETA 01:38:02 2020-12-17 07:15:00 [INFO] [TRAIN] epoch=48, iter=31680/40000, loss=0.1467, lr=0.002434, batch_cost=0.6962, reader_cost=0.0001 | ETA 01:36:31 2020-12-17 07:15:07 [INFO] [TRAIN] epoch=48, iter=31690/40000, loss=0.1453, lr=0.002431, batch_cost=0.7051, reader_cost=0.0001 | ETA 01:37:39 2020-12-17 07:15:14 [INFO] [TRAIN] epoch=48, iter=31700/40000, loss=0.1444, lr=0.002429, batch_cost=0.7073, reader_cost=0.0001 | ETA 01:37:50 2020-12-17 07:15:21 [INFO] [TRAIN] epoch=48, iter=31710/40000, loss=0.1285, lr=0.002426, batch_cost=0.7090, reader_cost=0.0001 | ETA 01:37:57 2020-12-17 07:15:28 [INFO] [TRAIN] epoch=48, iter=31720/40000, loss=0.1311, lr=0.002423, batch_cost=0.6993, reader_cost=0.0001 | ETA 01:36:30 2020-12-17 07:15:35 [INFO] [TRAIN] epoch=49, iter=31730/40000, loss=0.1585, lr=0.002421, batch_cost=0.7209, reader_cost=0.0212 | ETA 01:39:22 2020-12-17 07:15:42 [INFO] [TRAIN] epoch=49, iter=31740/40000, loss=0.2103, lr=0.002418, batch_cost=0.7089, reader_cost=0.0001 | ETA 01:37:35 2020-12-17 07:15:49 [INFO] [TRAIN] epoch=49, iter=31750/40000, loss=0.1603, lr=0.002415, batch_cost=0.7137, reader_cost=0.0001 | ETA 01:38:07 2020-12-17 07:15:56 [INFO] [TRAIN] epoch=49, iter=31760/40000, loss=0.1373, lr=0.002413, batch_cost=0.7006, reader_cost=0.0001 | ETA 01:36:13 2020-12-17 07:16:03 [INFO] [TRAIN] epoch=49, iter=31770/40000, loss=0.1566, lr=0.002410, batch_cost=0.7036, reader_cost=0.0001 | ETA 01:36:30 2020-12-17 07:16:10 [INFO] [TRAIN] epoch=49, iter=31780/40000, loss=0.1362, lr=0.002408, batch_cost=0.7097, reader_cost=0.0001 | ETA 01:37:13 2020-12-17 07:16:18 [INFO] [TRAIN] epoch=49, iter=31790/40000, loss=0.1915, lr=0.002405, batch_cost=0.7132, reader_cost=0.0001 | ETA 01:37:35 2020-12-17 07:16:25 [INFO] [TRAIN] epoch=49, iter=31800/40000, loss=0.0704, lr=0.002402, batch_cost=0.7266, reader_cost=0.0001 | ETA 01:39:18 2020-12-17 07:16:34 [INFO] [TRAIN] epoch=49, iter=31810/40000, loss=0.1259, lr=0.002400, batch_cost=0.9257, reader_cost=0.0001 | ETA 02:06:21 2020-12-17 07:16:45 [INFO] [TRAIN] epoch=49, iter=31820/40000, loss=0.1190, lr=0.002397, batch_cost=1.1054, reader_cost=0.0001 | ETA 02:30:41 2020-12-17 07:16:52 [INFO] [TRAIN] epoch=49, iter=31830/40000, loss=0.1452, lr=0.002394, batch_cost=0.7278, reader_cost=0.0001 | ETA 01:39:06 2020-12-17 07:16:59 [INFO] [TRAIN] epoch=49, iter=31840/40000, loss=0.1045, lr=0.002392, batch_cost=0.7055, reader_cost=0.0001 | ETA 01:35:56 2020-12-17 07:17:06 [INFO] [TRAIN] epoch=49, iter=31850/40000, loss=0.1479, lr=0.002389, batch_cost=0.6985, reader_cost=0.0001 | ETA 01:34:53 2020-12-17 07:17:14 [INFO] [TRAIN] epoch=49, iter=31860/40000, loss=0.1464, lr=0.002386, batch_cost=0.7120, reader_cost=0.0001 | ETA 01:36:35 2020-12-17 07:17:21 [INFO] [TRAIN] epoch=49, iter=31870/40000, loss=0.1403, lr=0.002384, batch_cost=0.7208, reader_cost=0.0001 | ETA 01:37:40 2020-12-17 07:17:28 [INFO] [TRAIN] epoch=49, iter=31880/40000, loss=0.1254, lr=0.002381, batch_cost=0.7022, reader_cost=0.0001 | ETA 01:35:01 2020-12-17 07:17:35 [INFO] [TRAIN] epoch=49, iter=31890/40000, loss=0.1351, lr=0.002379, batch_cost=0.7185, reader_cost=0.0001 | ETA 01:37:07 2020-12-17 07:17:42 [INFO] [TRAIN] epoch=49, iter=31900/40000, loss=0.1487, lr=0.002376, batch_cost=0.7345, reader_cost=0.0001 | ETA 01:39:09 2020-12-17 07:17:50 [INFO] [TRAIN] epoch=49, iter=31910/40000, loss=0.2012, lr=0.002373, batch_cost=0.7203, reader_cost=0.0001 | ETA 01:37:07 2020-12-17 07:17:57 [INFO] [TRAIN] epoch=49, iter=31920/40000, loss=0.1972, lr=0.002371, batch_cost=0.7330, reader_cost=0.0001 | ETA 01:38:42 2020-12-17 07:18:04 [INFO] [TRAIN] epoch=49, iter=31930/40000, loss=0.1501, lr=0.002368, batch_cost=0.7033, reader_cost=0.0001 | ETA 01:34:35 2020-12-17 07:18:11 [INFO] [TRAIN] epoch=49, iter=31940/40000, loss=0.2609, lr=0.002365, batch_cost=0.7006, reader_cost=0.0001 | ETA 01:34:07 2020-12-17 07:18:18 [INFO] [TRAIN] epoch=49, iter=31950/40000, loss=0.1576, lr=0.002363, batch_cost=0.7256, reader_cost=0.0001 | ETA 01:37:21 2020-12-17 07:18:25 [INFO] [TRAIN] epoch=49, iter=31960/40000, loss=0.1621, lr=0.002360, batch_cost=0.7116, reader_cost=0.0001 | ETA 01:35:20 2020-12-17 07:18:32 [INFO] [TRAIN] epoch=49, iter=31970/40000, loss=0.2124, lr=0.002357, batch_cost=0.7004, reader_cost=0.0001 | ETA 01:33:44 2020-12-17 07:18:43 [INFO] [TRAIN] epoch=49, iter=31980/40000, loss=0.1643, lr=0.002355, batch_cost=1.0323, reader_cost=0.0008 | ETA 02:17:58 2020-12-17 07:18:51 [INFO] [TRAIN] epoch=49, iter=31990/40000, loss=0.1708, lr=0.002352, batch_cost=0.8188, reader_cost=0.0001 | ETA 01:49:18 2020-12-17 07:18:58 [INFO] [TRAIN] epoch=49, iter=32000/40000, loss=0.1555, lr=0.002350, batch_cost=0.6958, reader_cost=0.0001 | ETA 01:32:46 2020-12-17 07:18:58 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 07:19:27 [INFO] [EVAL] #Images=1449 mIoU=0.7556 Acc=0.9469 Kappa=0.8803 2020-12-17 07:19:27 [INFO] [EVAL] Class IoU: [0.9413 0.9098 0.4233 0.879 0.6232 0.728 0.9408 0.8842 0.9117 0.3642 0.7964 0.4707 0.8453 0.8524 0.8432 0.8692 0.6092 0.8237 0.5067 0.8745 0.7712] 2020-12-17 07:19:27 [INFO] [EVAL] Class Acc: [0.9582 0.9693 0.4427 0.9478 0.718 0.9296 0.9788 0.953 0.9508 0.7243 0.9356 0.9645 0.9082 0.8969 0.9501 0.9576 0.8671 0.9581 0.7443 0.9634 0.929 ] 2020-12-17 07:19:34 [INFO] [EVAL] The model with the best validation mIoU (0.7672) was saved at iter 31000. 2020-12-17 07:19:41 [INFO] [TRAIN] epoch=49, iter=32010/40000, loss=0.1135, lr=0.002347, batch_cost=0.7019, reader_cost=0.0001 | ETA 01:33:28 2020-12-17 07:19:48 [INFO] [TRAIN] epoch=49, iter=32020/40000, loss=0.1915, lr=0.002344, batch_cost=0.7111, reader_cost=0.0001 | ETA 01:34:34 2020-12-17 07:19:56 [INFO] [TRAIN] epoch=49, iter=32030/40000, loss=0.1679, lr=0.002342, batch_cost=0.7543, reader_cost=0.0001 | ETA 01:40:11 2020-12-17 07:20:06 [INFO] [TRAIN] epoch=49, iter=32040/40000, loss=0.1063, lr=0.002339, batch_cost=0.9918, reader_cost=0.0001 | ETA 02:11:34 2020-12-17 07:20:17 [INFO] [TRAIN] epoch=49, iter=32050/40000, loss=0.1544, lr=0.002336, batch_cost=1.1032, reader_cost=0.0001 | ETA 02:26:10 2020-12-17 07:20:24 [INFO] [TRAIN] epoch=49, iter=32060/40000, loss=0.1204, lr=0.002334, batch_cost=0.7193, reader_cost=0.0001 | ETA 01:35:11 2020-12-17 07:20:31 [INFO] [TRAIN] epoch=49, iter=32070/40000, loss=0.1111, lr=0.002331, batch_cost=0.6955, reader_cost=0.0001 | ETA 01:31:55 2020-12-17 07:20:38 [INFO] [TRAIN] epoch=49, iter=32080/40000, loss=0.1159, lr=0.002328, batch_cost=0.7533, reader_cost=0.0001 | ETA 01:39:26 2020-12-17 07:20:45 [INFO] [TRAIN] epoch=49, iter=32090/40000, loss=0.1262, lr=0.002326, batch_cost=0.6911, reader_cost=0.0001 | ETA 01:31:06 2020-12-17 07:20:52 [INFO] [TRAIN] epoch=49, iter=32100/40000, loss=0.1441, lr=0.002323, batch_cost=0.6943, reader_cost=0.0001 | ETA 01:31:25 2020-12-17 07:20:59 [INFO] [TRAIN] epoch=49, iter=32110/40000, loss=0.1717, lr=0.002320, batch_cost=0.7024, reader_cost=0.0001 | ETA 01:32:21 2020-12-17 07:21:07 [INFO] [TRAIN] epoch=49, iter=32120/40000, loss=0.1494, lr=0.002318, batch_cost=0.7180, reader_cost=0.0001 | ETA 01:34:18 2020-12-17 07:21:14 [INFO] [TRAIN] epoch=49, iter=32130/40000, loss=0.1543, lr=0.002315, batch_cost=0.7285, reader_cost=0.0001 | ETA 01:35:33 2020-12-17 07:21:21 [INFO] [TRAIN] epoch=49, iter=32140/40000, loss=0.1487, lr=0.002312, batch_cost=0.7091, reader_cost=0.0001 | ETA 01:32:53 2020-12-17 07:21:28 [INFO] [TRAIN] epoch=49, iter=32150/40000, loss=0.1259, lr=0.002310, batch_cost=0.7167, reader_cost=0.0001 | ETA 01:33:46 2020-12-17 07:21:36 [INFO] [TRAIN] epoch=49, iter=32160/40000, loss=0.1240, lr=0.002307, batch_cost=0.7534, reader_cost=0.0001 | ETA 01:38:26 2020-12-17 07:21:45 [INFO] [TRAIN] epoch=49, iter=32170/40000, loss=0.1651, lr=0.002305, batch_cost=0.9633, reader_cost=0.0001 | ETA 02:05:42 2020-12-17 07:21:52 [INFO] [TRAIN] epoch=49, iter=32180/40000, loss=0.1588, lr=0.002302, batch_cost=0.7087, reader_cost=0.0001 | ETA 01:32:22 2020-12-17 07:21:59 [INFO] [TRAIN] epoch=49, iter=32190/40000, loss=0.1358, lr=0.002299, batch_cost=0.7042, reader_cost=0.0001 | ETA 01:31:39 2020-12-17 07:22:06 [INFO] [TRAIN] epoch=49, iter=32200/40000, loss=0.1276, lr=0.002297, batch_cost=0.6983, reader_cost=0.0001 | ETA 01:30:46 2020-12-17 07:22:13 [INFO] [TRAIN] epoch=49, iter=32210/40000, loss=0.1466, lr=0.002294, batch_cost=0.7062, reader_cost=0.0001 | ETA 01:31:41 2020-12-17 07:22:20 [INFO] [TRAIN] epoch=49, iter=32220/40000, loss=0.1661, lr=0.002291, batch_cost=0.7006, reader_cost=0.0001 | ETA 01:30:50 2020-12-17 07:22:27 [INFO] [TRAIN] epoch=49, iter=32230/40000, loss=0.1386, lr=0.002289, batch_cost=0.7017, reader_cost=0.0001 | ETA 01:30:52 2020-12-17 07:22:34 [INFO] [TRAIN] epoch=49, iter=32240/40000, loss=0.1445, lr=0.002286, batch_cost=0.6998, reader_cost=0.0001 | ETA 01:30:30 2020-12-17 07:22:42 [INFO] [TRAIN] epoch=49, iter=32250/40000, loss=0.2217, lr=0.002283, batch_cost=0.7095, reader_cost=0.0001 | ETA 01:31:38 2020-12-17 07:22:49 [INFO] [TRAIN] epoch=49, iter=32260/40000, loss=0.1758, lr=0.002281, batch_cost=0.7654, reader_cost=0.0001 | ETA 01:38:44 2020-12-17 07:22:56 [INFO] [TRAIN] epoch=49, iter=32270/40000, loss=0.1187, lr=0.002278, batch_cost=0.6998, reader_cost=0.0001 | ETA 01:30:09 2020-12-17 07:23:03 [INFO] [TRAIN] epoch=49, iter=32280/40000, loss=0.1553, lr=0.002275, batch_cost=0.7018, reader_cost=0.0001 | ETA 01:30:17 2020-12-17 07:23:11 [INFO] [TRAIN] epoch=49, iter=32290/40000, loss=0.1115, lr=0.002273, batch_cost=0.7872, reader_cost=0.0001 | ETA 01:41:09 2020-12-17 07:23:22 [INFO] [TRAIN] epoch=49, iter=32300/40000, loss=0.1698, lr=0.002270, batch_cost=1.1325, reader_cost=0.0001 | ETA 02:25:19 2020-12-17 07:23:31 [INFO] [TRAIN] epoch=49, iter=32310/40000, loss=0.1558, lr=0.002267, batch_cost=0.8971, reader_cost=0.0013 | ETA 01:54:58 2020-12-17 07:23:39 [INFO] [TRAIN] epoch=49, iter=32320/40000, loss=0.1882, lr=0.002265, batch_cost=0.7616, reader_cost=0.0001 | ETA 01:37:28 2020-12-17 07:23:46 [INFO] [TRAIN] epoch=49, iter=32330/40000, loss=0.1996, lr=0.002262, batch_cost=0.7009, reader_cost=0.0001 | ETA 01:29:35 2020-12-17 07:23:53 [INFO] [TRAIN] epoch=49, iter=32340/40000, loss=0.2049, lr=0.002259, batch_cost=0.7021, reader_cost=0.0001 | ETA 01:29:37 2020-12-17 07:24:00 [INFO] [TRAIN] epoch=49, iter=32350/40000, loss=0.2016, lr=0.002257, batch_cost=0.6956, reader_cost=0.0001 | ETA 01:28:41 2020-12-17 07:24:07 [INFO] [TRAIN] epoch=49, iter=32360/40000, loss=0.1900, lr=0.002254, batch_cost=0.6979, reader_cost=0.0001 | ETA 01:28:52 2020-12-17 07:24:14 [INFO] [TRAIN] epoch=49, iter=32370/40000, loss=0.1867, lr=0.002251, batch_cost=0.7350, reader_cost=0.0001 | ETA 01:33:28 2020-12-17 07:24:21 [INFO] [TRAIN] epoch=49, iter=32380/40000, loss=0.1362, lr=0.002249, batch_cost=0.7081, reader_cost=0.0001 | ETA 01:29:55 2020-12-17 07:24:29 [INFO] [TRAIN] epoch=50, iter=32390/40000, loss=0.1407, lr=0.002246, batch_cost=0.7208, reader_cost=0.0204 | ETA 01:31:25 2020-12-17 07:24:36 [INFO] [TRAIN] epoch=50, iter=32400/40000, loss=0.1220, lr=0.002244, batch_cost=0.6965, reader_cost=0.0001 | ETA 01:28:13 2020-12-17 07:24:43 [INFO] [TRAIN] epoch=50, iter=32410/40000, loss=0.1989, lr=0.002241, batch_cost=0.7156, reader_cost=0.0001 | ETA 01:30:31 2020-12-17 07:24:51 [INFO] [TRAIN] epoch=50, iter=32420/40000, loss=0.1156, lr=0.002238, batch_cost=0.7920, reader_cost=0.0001 | ETA 01:40:03 2020-12-17 07:24:58 [INFO] [TRAIN] epoch=50, iter=32430/40000, loss=0.1967, lr=0.002236, batch_cost=0.7008, reader_cost=0.0001 | ETA 01:28:25 2020-12-17 07:25:05 [INFO] [TRAIN] epoch=50, iter=32440/40000, loss=0.2132, lr=0.002233, batch_cost=0.7118, reader_cost=0.0001 | ETA 01:29:40 2020-12-17 07:25:12 [INFO] [TRAIN] epoch=50, iter=32450/40000, loss=0.1600, lr=0.002230, batch_cost=0.7179, reader_cost=0.0001 | ETA 01:30:20 2020-12-17 07:25:19 [INFO] [TRAIN] epoch=50, iter=32460/40000, loss=0.1602, lr=0.002228, batch_cost=0.7075, reader_cost=0.0001 | ETA 01:28:54 2020-12-17 07:25:26 [INFO] [TRAIN] epoch=50, iter=32470/40000, loss=0.1506, lr=0.002225, batch_cost=0.7000, reader_cost=0.0001 | ETA 01:27:51 2020-12-17 07:25:33 [INFO] [TRAIN] epoch=50, iter=32480/40000, loss=0.1513, lr=0.002222, batch_cost=0.7023, reader_cost=0.0001 | ETA 01:28:01 2020-12-17 07:25:42 [INFO] [TRAIN] epoch=50, iter=32490/40000, loss=0.1099, lr=0.002220, batch_cost=0.8993, reader_cost=0.0001 | ETA 01:52:33 2020-12-17 07:25:54 [INFO] [TRAIN] epoch=50, iter=32500/40000, loss=0.1679, lr=0.002217, batch_cost=1.1784, reader_cost=0.0004 | ETA 02:27:17 2020-12-17 07:26:01 [INFO] [TRAIN] epoch=50, iter=32510/40000, loss=0.1022, lr=0.002214, batch_cost=0.7065, reader_cost=0.0001 | ETA 01:28:11 2020-12-17 07:26:08 [INFO] [TRAIN] epoch=50, iter=32520/40000, loss=0.1194, lr=0.002212, batch_cost=0.7100, reader_cost=0.0001 | ETA 01:28:30 2020-12-17 07:26:15 [INFO] [TRAIN] epoch=50, iter=32530/40000, loss=0.0866, lr=0.002209, batch_cost=0.7364, reader_cost=0.0001 | ETA 01:31:40 2020-12-17 07:26:22 [INFO] [TRAIN] epoch=50, iter=32540/40000, loss=0.1325, lr=0.002206, batch_cost=0.6992, reader_cost=0.0001 | ETA 01:26:55 2020-12-17 07:26:29 [INFO] [TRAIN] epoch=50, iter=32550/40000, loss=0.1444, lr=0.002204, batch_cost=0.7005, reader_cost=0.0001 | ETA 01:26:58 2020-12-17 07:26:36 [INFO] [TRAIN] epoch=50, iter=32560/40000, loss=0.1497, lr=0.002201, batch_cost=0.7078, reader_cost=0.0001 | ETA 01:27:45 2020-12-17 07:26:43 [INFO] [TRAIN] epoch=50, iter=32570/40000, loss=0.1262, lr=0.002198, batch_cost=0.7061, reader_cost=0.0001 | ETA 01:27:26 2020-12-17 07:26:51 [INFO] [TRAIN] epoch=50, iter=32580/40000, loss=0.1329, lr=0.002196, batch_cost=0.7556, reader_cost=0.0001 | ETA 01:33:26 2020-12-17 07:26:59 [INFO] [TRAIN] epoch=50, iter=32590/40000, loss=0.1853, lr=0.002193, batch_cost=0.7652, reader_cost=0.0001 | ETA 01:34:30 2020-12-17 07:27:11 [INFO] [TRAIN] epoch=50, iter=32600/40000, loss=0.1571, lr=0.002190, batch_cost=1.2082, reader_cost=0.0012 | ETA 02:29:00 2020-12-17 07:27:18 [INFO] [TRAIN] epoch=50, iter=32610/40000, loss=0.1503, lr=0.002188, batch_cost=0.7021, reader_cost=0.0001 | ETA 01:26:28 2020-12-17 07:27:25 [INFO] [TRAIN] epoch=50, iter=32620/40000, loss=0.1627, lr=0.002185, batch_cost=0.6971, reader_cost=0.0002 | ETA 01:25:44 2020-12-17 07:27:32 [INFO] [TRAIN] epoch=50, iter=32630/40000, loss=0.1935, lr=0.002182, batch_cost=0.7076, reader_cost=0.0001 | ETA 01:26:55 2020-12-17 07:27:39 [INFO] [TRAIN] epoch=50, iter=32640/40000, loss=0.1158, lr=0.002180, batch_cost=0.7012, reader_cost=0.0011 | ETA 01:26:01 2020-12-17 07:27:46 [INFO] [TRAIN] epoch=50, iter=32650/40000, loss=0.1537, lr=0.002177, batch_cost=0.6957, reader_cost=0.0004 | ETA 01:25:13 2020-12-17 07:27:53 [INFO] [TRAIN] epoch=50, iter=32660/40000, loss=0.2005, lr=0.002174, batch_cost=0.7009, reader_cost=0.0001 | ETA 01:25:44 2020-12-17 07:28:00 [INFO] [TRAIN] epoch=50, iter=32670/40000, loss=0.1639, lr=0.002172, batch_cost=0.7038, reader_cost=0.0001 | ETA 01:25:58 2020-12-17 07:28:07 [INFO] [TRAIN] epoch=50, iter=32680/40000, loss=0.1460, lr=0.002169, batch_cost=0.6992, reader_cost=0.0001 | ETA 01:25:18 2020-12-17 07:28:14 [INFO] [TRAIN] epoch=50, iter=32690/40000, loss=0.1276, lr=0.002166, batch_cost=0.7116, reader_cost=0.0001 | ETA 01:26:41 2020-12-17 07:28:21 [INFO] [TRAIN] epoch=50, iter=32700/40000, loss=0.1198, lr=0.002164, batch_cost=0.7108, reader_cost=0.0001 | ETA 01:26:28 2020-12-17 07:28:28 [INFO] [TRAIN] epoch=50, iter=32710/40000, loss=0.2937, lr=0.002161, batch_cost=0.7189, reader_cost=0.0001 | ETA 01:27:21 2020-12-17 07:28:41 [INFO] [TRAIN] epoch=50, iter=32720/40000, loss=0.1492, lr=0.002158, batch_cost=1.3100, reader_cost=0.0001 | ETA 02:38:57 2020-12-17 07:28:48 [INFO] [TRAIN] epoch=50, iter=32730/40000, loss=0.2042, lr=0.002156, batch_cost=0.7101, reader_cost=0.0001 | ETA 01:26:02 2020-12-17 07:28:55 [INFO] [TRAIN] epoch=50, iter=32740/40000, loss=0.1181, lr=0.002153, batch_cost=0.6988, reader_cost=0.0001 | ETA 01:24:33 2020-12-17 07:29:03 [INFO] [TRAIN] epoch=50, iter=32750/40000, loss=0.1429, lr=0.002150, batch_cost=0.7308, reader_cost=0.0001 | ETA 01:28:18 2020-12-17 07:29:10 [INFO] [TRAIN] epoch=50, iter=32760/40000, loss=0.1228, lr=0.002148, batch_cost=0.7147, reader_cost=0.0001 | ETA 01:26:14 2020-12-17 07:29:17 [INFO] [TRAIN] epoch=50, iter=32770/40000, loss=0.1552, lr=0.002145, batch_cost=0.7107, reader_cost=0.0001 | ETA 01:25:38 2020-12-17 07:29:24 [INFO] [TRAIN] epoch=50, iter=32780/40000, loss=0.1976, lr=0.002142, batch_cost=0.7048, reader_cost=0.0001 | ETA 01:24:48 2020-12-17 07:29:35 [INFO] [TRAIN] epoch=50, iter=32790/40000, loss=0.1246, lr=0.002140, batch_cost=1.1005, reader_cost=0.0001 | ETA 02:12:14 2020-12-17 07:29:42 [INFO] [TRAIN] epoch=50, iter=32800/40000, loss=0.1638, lr=0.002137, batch_cost=0.7267, reader_cost=0.0001 | ETA 01:27:12 2020-12-17 07:29:50 [INFO] [TRAIN] epoch=50, iter=32810/40000, loss=0.1173, lr=0.002134, batch_cost=0.7269, reader_cost=0.0001 | ETA 01:27:06 2020-12-17 07:29:59 [INFO] [TRAIN] epoch=50, iter=32820/40000, loss=0.1308, lr=0.002132, batch_cost=0.9162, reader_cost=0.0001 | ETA 01:49:38 2020-12-17 07:30:14 [INFO] [TRAIN] epoch=50, iter=32830/40000, loss=0.2042, lr=0.002129, batch_cost=1.4967, reader_cost=0.0004 | ETA 02:58:51 2020-12-17 07:30:21 [INFO] [TRAIN] epoch=50, iter=32840/40000, loss=0.1846, lr=0.002126, batch_cost=0.6960, reader_cost=0.0001 | ETA 01:23:03 2020-12-17 07:30:28 [INFO] [TRAIN] epoch=50, iter=32850/40000, loss=0.1067, lr=0.002124, batch_cost=0.7429, reader_cost=0.0001 | ETA 01:28:32 2020-12-17 07:30:36 [INFO] [TRAIN] epoch=50, iter=32860/40000, loss=0.1044, lr=0.002121, batch_cost=0.7989, reader_cost=0.0001 | ETA 01:35:03 2020-12-17 07:30:43 [INFO] [TRAIN] epoch=50, iter=32870/40000, loss=0.2143, lr=0.002118, batch_cost=0.7128, reader_cost=0.0001 | ETA 01:24:42 2020-12-17 07:30:51 [INFO] [TRAIN] epoch=50, iter=32880/40000, loss=0.1556, lr=0.002116, batch_cost=0.7957, reader_cost=0.0003 | ETA 01:34:25 2020-12-17 07:31:01 [INFO] [TRAIN] epoch=50, iter=32890/40000, loss=0.1812, lr=0.002113, batch_cost=0.9879, reader_cost=0.0001 | ETA 01:57:03 2020-12-17 07:31:08 [INFO] [TRAIN] epoch=50, iter=32900/40000, loss=0.1578, lr=0.002110, batch_cost=0.7131, reader_cost=0.0001 | ETA 01:24:22 2020-12-17 07:31:15 [INFO] [TRAIN] epoch=50, iter=32910/40000, loss=0.1394, lr=0.002108, batch_cost=0.6978, reader_cost=0.0001 | ETA 01:22:27 2020-12-17 07:31:22 [INFO] [TRAIN] epoch=50, iter=32920/40000, loss=0.1495, lr=0.002105, batch_cost=0.7050, reader_cost=0.0001 | ETA 01:23:11 2020-12-17 07:31:29 [INFO] [TRAIN] epoch=50, iter=32930/40000, loss=0.1629, lr=0.002102, batch_cost=0.7020, reader_cost=0.0001 | ETA 01:22:42 2020-12-17 07:31:36 [INFO] [TRAIN] epoch=50, iter=32940/40000, loss=0.1054, lr=0.002100, batch_cost=0.6936, reader_cost=0.0001 | ETA 01:21:36 2020-12-17 07:31:44 [INFO] [TRAIN] epoch=50, iter=32950/40000, loss=0.1210, lr=0.002097, batch_cost=0.7409, reader_cost=0.0001 | ETA 01:27:03 2020-12-17 07:31:51 [INFO] [TRAIN] epoch=50, iter=32960/40000, loss=0.1089, lr=0.002094, batch_cost=0.7134, reader_cost=0.0001 | ETA 01:23:42 2020-12-17 07:31:58 [INFO] [TRAIN] epoch=50, iter=32970/40000, loss=0.1323, lr=0.002092, batch_cost=0.7147, reader_cost=0.0001 | ETA 01:23:44 2020-12-17 07:32:05 [INFO] [TRAIN] epoch=50, iter=32980/40000, loss=0.1153, lr=0.002089, batch_cost=0.7174, reader_cost=0.0001 | ETA 01:23:55 2020-12-17 07:32:13 [INFO] [TRAIN] epoch=50, iter=32990/40000, loss=0.1694, lr=0.002086, batch_cost=0.7503, reader_cost=0.0001 | ETA 01:27:39 2020-12-17 07:32:20 [INFO] [TRAIN] epoch=50, iter=33000/40000, loss=0.1162, lr=0.002083, batch_cost=0.7757, reader_cost=0.0004 | ETA 01:30:29 2020-12-17 07:32:20 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 07:32:48 [INFO] [EVAL] #Images=1449 mIoU=0.7770 Acc=0.9515 Kappa=0.8924 2020-12-17 07:32:48 [INFO] [EVAL] Class IoU: [0.9475 0.913 0.424 0.8885 0.6517 0.6405 0.945 0.8914 0.8759 0.4512 0.9032 0.5647 0.8518 0.8871 0.8402 0.8779 0.6313 0.9085 0.572 0.9002 0.7519] 2020-12-17 07:32:48 [INFO] [EVAL] Class Acc: [0.9674 0.9427 0.4477 0.9627 0.7945 0.937 0.9889 0.9515 0.8969 0.5694 0.9746 0.8813 0.9456 0.9594 0.8769 0.9598 0.7949 0.9538 0.8622 0.9514 0.8876] 2020-12-17 07:32:59 [INFO] [EVAL] The model with the best validation mIoU (0.7770) was saved at iter 33000. 2020-12-17 07:33:06 [INFO] [TRAIN] epoch=50, iter=33010/40000, loss=0.1331, lr=0.002081, batch_cost=0.7009, reader_cost=0.0001 | ETA 01:21:39 2020-12-17 07:33:13 [INFO] [TRAIN] epoch=50, iter=33020/40000, loss=0.1020, lr=0.002078, batch_cost=0.6989, reader_cost=0.0001 | ETA 01:21:18 2020-12-17 07:33:20 [INFO] [TRAIN] epoch=50, iter=33030/40000, loss=0.1383, lr=0.002075, batch_cost=0.6952, reader_cost=0.0001 | ETA 01:20:45 2020-12-17 07:33:27 [INFO] [TRAIN] epoch=50, iter=33040/40000, loss=0.1686, lr=0.002073, batch_cost=0.6955, reader_cost=0.0001 | ETA 01:20:40 2020-12-17 07:33:34 [INFO] [TRAIN] epoch=50, iter=33050/40000, loss=0.2033, lr=0.002070, batch_cost=0.6903, reader_cost=0.0001 | ETA 01:19:57 2020-12-17 07:33:41 [INFO] [TRAIN] epoch=51, iter=33060/40000, loss=0.1841, lr=0.002067, batch_cost=0.7351, reader_cost=0.0205 | ETA 01:25:01 2020-12-17 07:33:48 [INFO] [TRAIN] epoch=51, iter=33070/40000, loss=0.0833, lr=0.002065, batch_cost=0.7122, reader_cost=0.0001 | ETA 01:22:15 2020-12-17 07:33:55 [INFO] [TRAIN] epoch=51, iter=33080/40000, loss=0.1445, lr=0.002062, batch_cost=0.7033, reader_cost=0.0001 | ETA 01:21:06 2020-12-17 07:34:02 [INFO] [TRAIN] epoch=51, iter=33090/40000, loss=0.1181, lr=0.002059, batch_cost=0.7010, reader_cost=0.0001 | ETA 01:20:43 2020-12-17 07:34:09 [INFO] [TRAIN] epoch=51, iter=33100/40000, loss=0.1045, lr=0.002057, batch_cost=0.6999, reader_cost=0.0001 | ETA 01:20:29 2020-12-17 07:34:16 [INFO] [TRAIN] epoch=51, iter=33110/40000, loss=0.1519, lr=0.002054, batch_cost=0.7113, reader_cost=0.0001 | ETA 01:21:40 2020-12-17 07:34:23 [INFO] [TRAIN] epoch=51, iter=33120/40000, loss=0.1071, lr=0.002051, batch_cost=0.6978, reader_cost=0.0001 | ETA 01:20:00 2020-12-17 07:34:30 [INFO] [TRAIN] epoch=51, iter=33130/40000, loss=0.1075, lr=0.002049, batch_cost=0.6981, reader_cost=0.0001 | ETA 01:19:55 2020-12-17 07:34:41 [INFO] [TRAIN] epoch=51, iter=33140/40000, loss=0.1293, lr=0.002046, batch_cost=1.0768, reader_cost=0.0010 | ETA 02:03:06 2020-12-17 07:34:50 [INFO] [TRAIN] epoch=51, iter=33150/40000, loss=0.1736, lr=0.002043, batch_cost=0.8919, reader_cost=0.0013 | ETA 01:41:49 2020-12-17 07:35:06 [INFO] [TRAIN] epoch=51, iter=33160/40000, loss=0.1692, lr=0.002041, batch_cost=1.6135, reader_cost=0.0001 | ETA 03:03:56 2020-12-17 07:35:15 [INFO] [TRAIN] epoch=51, iter=33170/40000, loss=0.1220, lr=0.002038, batch_cost=0.9106, reader_cost=0.0014 | ETA 01:43:39 2020-12-17 07:35:22 [INFO] [TRAIN] epoch=51, iter=33180/40000, loss=0.1335, lr=0.002035, batch_cost=0.7073, reader_cost=0.0001 | ETA 01:20:24 2020-12-17 07:35:30 [INFO] [TRAIN] epoch=51, iter=33190/40000, loss=0.1655, lr=0.002033, batch_cost=0.7572, reader_cost=0.0022 | ETA 01:25:56 2020-12-17 07:35:37 [INFO] [TRAIN] epoch=51, iter=33200/40000, loss=0.1239, lr=0.002030, batch_cost=0.7020, reader_cost=0.0001 | ETA 01:19:33 2020-12-17 07:35:44 [INFO] [TRAIN] epoch=51, iter=33210/40000, loss=0.1471, lr=0.002027, batch_cost=0.7362, reader_cost=0.0001 | ETA 01:23:18 2020-12-17 07:35:51 [INFO] [TRAIN] epoch=51, iter=33220/40000, loss=0.1308, lr=0.002024, batch_cost=0.7091, reader_cost=0.0001 | ETA 01:20:07 2020-12-17 07:36:01 [INFO] [TRAIN] epoch=51, iter=33230/40000, loss=0.1532, lr=0.002022, batch_cost=0.9806, reader_cost=0.0001 | ETA 01:50:38 2020-12-17 07:36:08 [INFO] [TRAIN] epoch=51, iter=33240/40000, loss=0.1464, lr=0.002019, batch_cost=0.7264, reader_cost=0.0001 | ETA 01:21:50 2020-12-17 07:36:16 [INFO] [TRAIN] epoch=51, iter=33250/40000, loss=0.1315, lr=0.002016, batch_cost=0.7079, reader_cost=0.0001 | ETA 01:19:38 2020-12-17 07:36:23 [INFO] [TRAIN] epoch=51, iter=33260/40000, loss=0.1055, lr=0.002014, batch_cost=0.7237, reader_cost=0.0001 | ETA 01:21:17 2020-12-17 07:36:30 [INFO] [TRAIN] epoch=51, iter=33270/40000, loss=0.1282, lr=0.002011, batch_cost=0.7245, reader_cost=0.0001 | ETA 01:21:15 2020-12-17 07:36:37 [INFO] [TRAIN] epoch=51, iter=33280/40000, loss=0.1225, lr=0.002008, batch_cost=0.7085, reader_cost=0.0001 | ETA 01:19:21 2020-12-17 07:36:44 [INFO] [TRAIN] epoch=51, iter=33290/40000, loss=0.1582, lr=0.002006, batch_cost=0.7067, reader_cost=0.0001 | ETA 01:19:01 2020-12-17 07:36:51 [INFO] [TRAIN] epoch=51, iter=33300/40000, loss=0.1666, lr=0.002003, batch_cost=0.7050, reader_cost=0.0001 | ETA 01:18:43 2020-12-17 07:36:58 [INFO] [TRAIN] epoch=51, iter=33310/40000, loss=0.1451, lr=0.002000, batch_cost=0.7046, reader_cost=0.0001 | ETA 01:18:33 2020-12-17 07:37:05 [INFO] [TRAIN] epoch=51, iter=33320/40000, loss=0.1047, lr=0.001998, batch_cost=0.7058, reader_cost=0.0001 | ETA 01:18:34 2020-12-17 07:37:13 [INFO] [TRAIN] epoch=51, iter=33330/40000, loss=0.1347, lr=0.001995, batch_cost=0.7371, reader_cost=0.0001 | ETA 01:21:56 2020-12-17 07:37:20 [INFO] [TRAIN] epoch=51, iter=33340/40000, loss=0.1402, lr=0.001992, batch_cost=0.7119, reader_cost=0.0001 | ETA 01:19:01 2020-12-17 07:37:27 [INFO] [TRAIN] epoch=51, iter=33350/40000, loss=0.1287, lr=0.001990, batch_cost=0.7035, reader_cost=0.0001 | ETA 01:17:58 2020-12-17 07:37:34 [INFO] [TRAIN] epoch=51, iter=33360/40000, loss=0.1695, lr=0.001987, batch_cost=0.7023, reader_cost=0.0001 | ETA 01:17:43 2020-12-17 07:37:41 [INFO] [TRAIN] epoch=51, iter=33370/40000, loss=0.1173, lr=0.001984, batch_cost=0.7074, reader_cost=0.0001 | ETA 01:18:09 2020-12-17 07:37:48 [INFO] [TRAIN] epoch=51, iter=33380/40000, loss=0.1555, lr=0.001981, batch_cost=0.7449, reader_cost=0.0001 | ETA 01:22:10 2020-12-17 07:37:56 [INFO] [TRAIN] epoch=51, iter=33390/40000, loss=0.1102, lr=0.001979, batch_cost=0.7294, reader_cost=0.0001 | ETA 01:20:21 2020-12-17 07:38:03 [INFO] [TRAIN] epoch=51, iter=33400/40000, loss=0.1913, lr=0.001976, batch_cost=0.6941, reader_cost=0.0001 | ETA 01:16:21 2020-12-17 07:38:10 [INFO] [TRAIN] epoch=51, iter=33410/40000, loss=0.1371, lr=0.001973, batch_cost=0.7263, reader_cost=0.0001 | ETA 01:19:46 2020-12-17 07:38:17 [INFO] [TRAIN] epoch=51, iter=33420/40000, loss=0.1446, lr=0.001971, batch_cost=0.6981, reader_cost=0.0001 | ETA 01:16:33 2020-12-17 07:38:24 [INFO] [TRAIN] epoch=51, iter=33430/40000, loss=0.1839, lr=0.001968, batch_cost=0.7271, reader_cost=0.0001 | ETA 01:19:37 2020-12-17 07:38:31 [INFO] [TRAIN] epoch=51, iter=33440/40000, loss=0.1392, lr=0.001965, batch_cost=0.7235, reader_cost=0.0001 | ETA 01:19:06 2020-12-17 07:38:39 [INFO] [TRAIN] epoch=51, iter=33450/40000, loss=0.1176, lr=0.001963, batch_cost=0.8026, reader_cost=0.0001 | ETA 01:27:37 2020-12-17 07:38:48 [INFO] [TRAIN] epoch=51, iter=33460/40000, loss=0.1399, lr=0.001960, batch_cost=0.8060, reader_cost=0.0001 | ETA 01:27:51 2020-12-17 07:38:54 [INFO] [TRAIN] epoch=51, iter=33470/40000, loss=0.1086, lr=0.001957, batch_cost=0.6931, reader_cost=0.0001 | ETA 01:15:25 2020-12-17 07:39:01 [INFO] [TRAIN] epoch=51, iter=33480/40000, loss=0.1235, lr=0.001954, batch_cost=0.6988, reader_cost=0.0001 | ETA 01:15:56 2020-12-17 07:39:08 [INFO] [TRAIN] epoch=51, iter=33490/40000, loss=0.1698, lr=0.001952, batch_cost=0.6990, reader_cost=0.0001 | ETA 01:15:50 2020-12-17 07:39:16 [INFO] [TRAIN] epoch=51, iter=33500/40000, loss=0.1186, lr=0.001949, batch_cost=0.7860, reader_cost=0.0001 | ETA 01:25:08 2020-12-17 07:39:23 [INFO] [TRAIN] epoch=51, iter=33510/40000, loss=0.1754, lr=0.001946, batch_cost=0.6989, reader_cost=0.0001 | ETA 01:15:35 2020-12-17 07:39:30 [INFO] [TRAIN] epoch=51, iter=33520/40000, loss=0.1278, lr=0.001944, batch_cost=0.7016, reader_cost=0.0001 | ETA 01:15:46 2020-12-17 07:39:37 [INFO] [TRAIN] epoch=51, iter=33530/40000, loss=0.1501, lr=0.001941, batch_cost=0.6903, reader_cost=0.0001 | ETA 01:14:26 2020-12-17 07:39:45 [INFO] [TRAIN] epoch=51, iter=33540/40000, loss=0.1706, lr=0.001938, batch_cost=0.7503, reader_cost=0.0001 | ETA 01:20:46 2020-12-17 07:39:53 [INFO] [TRAIN] epoch=51, iter=33550/40000, loss=0.1378, lr=0.001936, batch_cost=0.7803, reader_cost=0.0001 | ETA 01:23:52 2020-12-17 07:40:00 [INFO] [TRAIN] epoch=51, iter=33560/40000, loss=0.1041, lr=0.001933, batch_cost=0.7863, reader_cost=0.0001 | ETA 01:24:24 2020-12-17 07:40:08 [INFO] [TRAIN] epoch=51, iter=33570/40000, loss=0.1722, lr=0.001930, batch_cost=0.7457, reader_cost=0.0001 | ETA 01:19:55 2020-12-17 07:40:16 [INFO] [TRAIN] epoch=51, iter=33580/40000, loss=0.1290, lr=0.001927, batch_cost=0.7767, reader_cost=0.0020 | ETA 01:23:06 2020-12-17 07:40:23 [INFO] [TRAIN] epoch=51, iter=33590/40000, loss=0.1145, lr=0.001925, batch_cost=0.7030, reader_cost=0.0001 | ETA 01:15:06 2020-12-17 07:40:30 [INFO] [TRAIN] epoch=51, iter=33600/40000, loss=0.1694, lr=0.001922, batch_cost=0.7001, reader_cost=0.0001 | ETA 01:14:40 2020-12-17 07:40:37 [INFO] [TRAIN] epoch=51, iter=33610/40000, loss=0.1522, lr=0.001919, batch_cost=0.7017, reader_cost=0.0001 | ETA 01:14:44 2020-12-17 07:40:44 [INFO] [TRAIN] epoch=51, iter=33620/40000, loss=0.1178, lr=0.001917, batch_cost=0.7063, reader_cost=0.0001 | ETA 01:15:06 2020-12-17 07:40:52 [INFO] [TRAIN] epoch=51, iter=33630/40000, loss=0.1272, lr=0.001914, batch_cost=0.8510, reader_cost=0.0001 | ETA 01:30:21 2020-12-17 07:41:00 [INFO] [TRAIN] epoch=51, iter=33640/40000, loss=0.1637, lr=0.001911, batch_cost=0.8172, reader_cost=0.0012 | ETA 01:26:37 2020-12-17 07:41:08 [INFO] [TRAIN] epoch=51, iter=33650/40000, loss=0.1384, lr=0.001909, batch_cost=0.7693, reader_cost=0.0001 | ETA 01:21:25 2020-12-17 07:41:16 [INFO] [TRAIN] epoch=51, iter=33660/40000, loss=0.1298, lr=0.001906, batch_cost=0.7893, reader_cost=0.0001 | ETA 01:23:24 2020-12-17 07:41:24 [INFO] [TRAIN] epoch=51, iter=33670/40000, loss=0.1279, lr=0.001903, batch_cost=0.7550, reader_cost=0.0001 | ETA 01:19:39 2020-12-17 07:41:31 [INFO] [TRAIN] epoch=51, iter=33680/40000, loss=0.1308, lr=0.001900, batch_cost=0.7036, reader_cost=0.0001 | ETA 01:14:06 2020-12-17 07:41:38 [INFO] [TRAIN] epoch=51, iter=33690/40000, loss=0.1356, lr=0.001898, batch_cost=0.6910, reader_cost=0.0001 | ETA 01:12:40 2020-12-17 07:41:44 [INFO] [TRAIN] epoch=51, iter=33700/40000, loss=0.1629, lr=0.001895, batch_cost=0.6943, reader_cost=0.0001 | ETA 01:12:54 2020-12-17 07:41:51 [INFO] [TRAIN] epoch=51, iter=33710/40000, loss=0.1998, lr=0.001892, batch_cost=0.6702, reader_cost=0.0001 | ETA 01:10:15 2020-12-17 07:41:59 [INFO] [TRAIN] epoch=52, iter=33720/40000, loss=0.1207, lr=0.001890, batch_cost=0.7363, reader_cost=0.0247 | ETA 01:17:04 2020-12-17 07:42:06 [INFO] [TRAIN] epoch=52, iter=33730/40000, loss=0.1351, lr=0.001887, batch_cost=0.7031, reader_cost=0.0001 | ETA 01:13:28 2020-12-17 07:42:13 [INFO] [TRAIN] epoch=52, iter=33740/40000, loss=0.1825, lr=0.001884, batch_cost=0.7103, reader_cost=0.0001 | ETA 01:14:06 2020-12-17 07:42:20 [INFO] [TRAIN] epoch=52, iter=33750/40000, loss=0.1348, lr=0.001881, batch_cost=0.7086, reader_cost=0.0001 | ETA 01:13:48 2020-12-17 07:42:27 [INFO] [TRAIN] epoch=52, iter=33760/40000, loss=0.1155, lr=0.001879, batch_cost=0.7062, reader_cost=0.0001 | ETA 01:13:26 2020-12-17 07:42:34 [INFO] [TRAIN] epoch=52, iter=33770/40000, loss=0.1362, lr=0.001876, batch_cost=0.7053, reader_cost=0.0001 | ETA 01:13:14 2020-12-17 07:42:41 [INFO] [TRAIN] epoch=52, iter=33780/40000, loss=0.1856, lr=0.001873, batch_cost=0.7015, reader_cost=0.0001 | ETA 01:12:43 2020-12-17 07:42:48 [INFO] [TRAIN] epoch=52, iter=33790/40000, loss=0.1571, lr=0.001871, batch_cost=0.7067, reader_cost=0.0001 | ETA 01:13:08 2020-12-17 07:42:55 [INFO] [TRAIN] epoch=52, iter=33800/40000, loss=0.1238, lr=0.001868, batch_cost=0.7106, reader_cost=0.0001 | ETA 01:13:25 2020-12-17 07:43:02 [INFO] [TRAIN] epoch=52, iter=33810/40000, loss=0.1201, lr=0.001865, batch_cost=0.6965, reader_cost=0.0001 | ETA 01:11:51 2020-12-17 07:43:09 [INFO] [TRAIN] epoch=52, iter=33820/40000, loss=0.1969, lr=0.001863, batch_cost=0.7041, reader_cost=0.0001 | ETA 01:12:31 2020-12-17 07:43:16 [INFO] [TRAIN] epoch=52, iter=33830/40000, loss=0.1493, lr=0.001860, batch_cost=0.7117, reader_cost=0.0001 | ETA 01:13:11 2020-12-17 07:43:25 [INFO] [TRAIN] epoch=52, iter=33840/40000, loss=0.1876, lr=0.001857, batch_cost=0.8892, reader_cost=0.0001 | ETA 01:31:17 2020-12-17 07:43:41 [INFO] [TRAIN] epoch=52, iter=33850/40000, loss=0.1254, lr=0.001854, batch_cost=1.6427, reader_cost=0.0001 | ETA 02:48:22 2020-12-17 07:43:48 [INFO] [TRAIN] epoch=52, iter=33860/40000, loss=0.1423, lr=0.001852, batch_cost=0.6997, reader_cost=0.0001 | ETA 01:11:35 2020-12-17 07:43:56 [INFO] [TRAIN] epoch=52, iter=33870/40000, loss=0.1694, lr=0.001849, batch_cost=0.7214, reader_cost=0.0001 | ETA 01:13:42 2020-12-17 07:44:03 [INFO] [TRAIN] epoch=52, iter=33880/40000, loss=0.1234, lr=0.001846, batch_cost=0.7004, reader_cost=0.0001 | ETA 01:11:26 2020-12-17 07:44:10 [INFO] [TRAIN] epoch=52, iter=33890/40000, loss=0.1371, lr=0.001844, batch_cost=0.6976, reader_cost=0.0001 | ETA 01:11:02 2020-12-17 07:44:18 [INFO] [TRAIN] epoch=52, iter=33900/40000, loss=0.1620, lr=0.001841, batch_cost=0.7930, reader_cost=0.0001 | ETA 01:20:37 2020-12-17 07:44:26 [INFO] [TRAIN] epoch=52, iter=33910/40000, loss=0.0927, lr=0.001838, batch_cost=0.7988, reader_cost=0.0001 | ETA 01:21:04 2020-12-17 07:44:33 [INFO] [TRAIN] epoch=52, iter=33920/40000, loss=0.1138, lr=0.001835, batch_cost=0.7054, reader_cost=0.0001 | ETA 01:11:28 2020-12-17 07:44:40 [INFO] [TRAIN] epoch=52, iter=33930/40000, loss=0.0963, lr=0.001833, batch_cost=0.7064, reader_cost=0.0001 | ETA 01:11:28 2020-12-17 07:44:47 [INFO] [TRAIN] epoch=52, iter=33940/40000, loss=0.1637, lr=0.001830, batch_cost=0.7060, reader_cost=0.0001 | ETA 01:11:18 2020-12-17 07:44:54 [INFO] [TRAIN] epoch=52, iter=33950/40000, loss=0.1484, lr=0.001827, batch_cost=0.7703, reader_cost=0.0001 | ETA 01:17:40 2020-12-17 07:45:02 [INFO] [TRAIN] epoch=52, iter=33960/40000, loss=0.1129, lr=0.001825, batch_cost=0.7784, reader_cost=0.0001 | ETA 01:18:21 2020-12-17 07:45:10 [INFO] [TRAIN] epoch=52, iter=33970/40000, loss=0.1272, lr=0.001822, batch_cost=0.7263, reader_cost=0.0001 | ETA 01:12:59 2020-12-17 07:45:17 [INFO] [TRAIN] epoch=52, iter=33980/40000, loss=0.1482, lr=0.001819, batch_cost=0.7211, reader_cost=0.0011 | ETA 01:12:21 2020-12-17 07:45:24 [INFO] [TRAIN] epoch=52, iter=33990/40000, loss=0.0991, lr=0.001816, batch_cost=0.7064, reader_cost=0.0004 | ETA 01:10:45 2020-12-17 07:45:31 [INFO] [TRAIN] epoch=52, iter=34000/40000, loss=0.1338, lr=0.001814, batch_cost=0.6963, reader_cost=0.0004 | ETA 01:09:37 2020-12-17 07:45:31 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 07:46:00 [INFO] [EVAL] #Images=1449 mIoU=0.7845 Acc=0.9524 Kappa=0.8938 2020-12-17 07:46:00 [INFO] [EVAL] Class IoU: [0.9456 0.9196 0.4312 0.9076 0.6382 0.7231 0.9348 0.8761 0.9115 0.4838 0.8987 0.4689 0.8842 0.9049 0.8849 0.8808 0.6348 0.9138 0.5757 0.8977 0.7594] 2020-12-17 07:46:00 [INFO] [EVAL] Class Acc: [0.9645 0.9502 0.4455 0.9666 0.8346 0.8709 0.9894 0.9321 0.9385 0.695 0.9753 0.8998 0.9494 0.9636 0.9189 0.9534 0.8268 0.9723 0.8276 0.9685 0.8668] 2020-12-17 07:46:11 [INFO] [EVAL] The model with the best validation mIoU (0.7845) was saved at iter 34000. 2020-12-17 07:46:18 [INFO] [TRAIN] epoch=52, iter=34010/40000, loss=0.1925, lr=0.001811, batch_cost=0.7010, reader_cost=0.0001 | ETA 01:09:58 2020-12-17 07:46:25 [INFO] [TRAIN] epoch=52, iter=34020/40000, loss=0.1319, lr=0.001808, batch_cost=0.7016, reader_cost=0.0001 | ETA 01:09:55 2020-12-17 07:46:32 [INFO] [TRAIN] epoch=52, iter=34030/40000, loss=0.1222, lr=0.001805, batch_cost=0.7083, reader_cost=0.0001 | ETA 01:10:28 2020-12-17 07:46:39 [INFO] [TRAIN] epoch=52, iter=34040/40000, loss=0.1257, lr=0.001803, batch_cost=0.7011, reader_cost=0.0001 | ETA 01:09:38 2020-12-17 07:46:46 [INFO] [TRAIN] epoch=52, iter=34050/40000, loss=0.1109, lr=0.001800, batch_cost=0.7094, reader_cost=0.0001 | ETA 01:10:20 2020-12-17 07:47:04 [INFO] [TRAIN] epoch=52, iter=34060/40000, loss=0.1510, lr=0.001797, batch_cost=1.7207, reader_cost=0.0001 | ETA 02:50:20 2020-12-17 07:47:20 [INFO] [TRAIN] epoch=52, iter=34070/40000, loss=0.1382, lr=0.001795, batch_cost=1.6035, reader_cost=0.0013 | ETA 02:38:28 2020-12-17 07:47:27 [INFO] [TRAIN] epoch=52, iter=34080/40000, loss=0.1457, lr=0.001792, batch_cost=0.7753, reader_cost=0.0001 | ETA 01:16:29 2020-12-17 07:47:34 [INFO] [TRAIN] epoch=52, iter=34090/40000, loss=0.1371, lr=0.001789, batch_cost=0.6938, reader_cost=0.0001 | ETA 01:08:20 2020-12-17 07:47:41 [INFO] [TRAIN] epoch=52, iter=34100/40000, loss=0.1711, lr=0.001786, batch_cost=0.6946, reader_cost=0.0001 | ETA 01:08:17 2020-12-17 07:47:48 [INFO] [TRAIN] epoch=52, iter=34110/40000, loss=0.1490, lr=0.001784, batch_cost=0.7005, reader_cost=0.0001 | ETA 01:08:45 2020-12-17 07:47:55 [INFO] [TRAIN] epoch=52, iter=34120/40000, loss=0.1022, lr=0.001781, batch_cost=0.6886, reader_cost=0.0001 | ETA 01:07:28 2020-12-17 07:48:02 [INFO] [TRAIN] epoch=52, iter=34130/40000, loss=0.0880, lr=0.001778, batch_cost=0.6935, reader_cost=0.0001 | ETA 01:07:50 2020-12-17 07:48:11 [INFO] [TRAIN] epoch=52, iter=34140/40000, loss=0.1658, lr=0.001775, batch_cost=0.8436, reader_cost=0.0001 | ETA 01:22:23 2020-12-17 07:48:26 [INFO] [TRAIN] epoch=52, iter=34150/40000, loss=0.1374, lr=0.001773, batch_cost=1.5322, reader_cost=0.0004 | ETA 02:29:23 2020-12-17 07:48:33 [INFO] [TRAIN] epoch=52, iter=34160/40000, loss=0.1234, lr=0.001770, batch_cost=0.6989, reader_cost=0.0001 | ETA 01:08:01 2020-12-17 07:48:40 [INFO] [TRAIN] epoch=52, iter=34170/40000, loss=0.1380, lr=0.001767, batch_cost=0.7254, reader_cost=0.0001 | ETA 01:10:28 2020-12-17 07:48:47 [INFO] [TRAIN] epoch=52, iter=34180/40000, loss=0.0843, lr=0.001765, batch_cost=0.7219, reader_cost=0.0001 | ETA 01:10:01 2020-12-17 07:48:56 [INFO] [TRAIN] epoch=52, iter=34190/40000, loss=0.1021, lr=0.001762, batch_cost=0.8656, reader_cost=0.0001 | ETA 01:23:49 2020-12-17 07:49:03 [INFO] [TRAIN] epoch=52, iter=34200/40000, loss=0.1002, lr=0.001759, batch_cost=0.7062, reader_cost=0.0004 | ETA 01:08:15 2020-12-17 07:49:10 [INFO] [TRAIN] epoch=52, iter=34210/40000, loss=0.1531, lr=0.001756, batch_cost=0.7016, reader_cost=0.0001 | ETA 01:07:42 2020-12-17 07:49:17 [INFO] [TRAIN] epoch=52, iter=34220/40000, loss=0.0928, lr=0.001754, batch_cost=0.7092, reader_cost=0.0001 | ETA 01:08:19 2020-12-17 07:49:24 [INFO] [TRAIN] epoch=52, iter=34230/40000, loss=0.1644, lr=0.001751, batch_cost=0.7117, reader_cost=0.0001 | ETA 01:08:26 2020-12-17 07:49:31 [INFO] [TRAIN] epoch=52, iter=34240/40000, loss=0.1359, lr=0.001748, batch_cost=0.6990, reader_cost=0.0001 | ETA 01:07:06 2020-12-17 07:49:38 [INFO] [TRAIN] epoch=52, iter=34250/40000, loss=0.1787, lr=0.001745, batch_cost=0.6981, reader_cost=0.0001 | ETA 01:06:54 2020-12-17 07:49:45 [INFO] [TRAIN] epoch=52, iter=34260/40000, loss=0.1344, lr=0.001743, batch_cost=0.6981, reader_cost=0.0001 | ETA 01:06:46 2020-12-17 07:49:52 [INFO] [TRAIN] epoch=52, iter=34270/40000, loss=0.1425, lr=0.001740, batch_cost=0.7022, reader_cost=0.0001 | ETA 01:07:03 2020-12-17 07:49:59 [INFO] [TRAIN] epoch=52, iter=34280/40000, loss=0.1514, lr=0.001737, batch_cost=0.7122, reader_cost=0.0001 | ETA 01:07:53 2020-12-17 07:50:06 [INFO] [TRAIN] epoch=52, iter=34290/40000, loss=0.1508, lr=0.001735, batch_cost=0.6990, reader_cost=0.0001 | ETA 01:06:31 2020-12-17 07:50:13 [INFO] [TRAIN] epoch=52, iter=34300/40000, loss=0.1100, lr=0.001732, batch_cost=0.6959, reader_cost=0.0001 | ETA 01:06:06 2020-12-17 07:50:20 [INFO] [TRAIN] epoch=52, iter=34310/40000, loss=0.0972, lr=0.001729, batch_cost=0.6979, reader_cost=0.0001 | ETA 01:06:11 2020-12-17 07:50:27 [INFO] [TRAIN] epoch=52, iter=34320/40000, loss=0.1230, lr=0.001726, batch_cost=0.6950, reader_cost=0.0001 | ETA 01:05:47 2020-12-17 07:50:34 [INFO] [TRAIN] epoch=52, iter=34330/40000, loss=0.1183, lr=0.001724, batch_cost=0.7208, reader_cost=0.0001 | ETA 01:08:07 2020-12-17 07:50:41 [INFO] [TRAIN] epoch=52, iter=34340/40000, loss=0.1196, lr=0.001721, batch_cost=0.6990, reader_cost=0.0001 | ETA 01:05:56 2020-12-17 07:50:48 [INFO] [TRAIN] epoch=52, iter=34350/40000, loss=0.1263, lr=0.001718, batch_cost=0.6954, reader_cost=0.0001 | ETA 01:05:28 2020-12-17 07:50:55 [INFO] [TRAIN] epoch=52, iter=34360/40000, loss=0.1114, lr=0.001715, batch_cost=0.6976, reader_cost=0.0001 | ETA 01:05:34 2020-12-17 07:51:02 [INFO] [TRAIN] epoch=52, iter=34370/40000, loss=0.1401, lr=0.001713, batch_cost=0.6779, reader_cost=0.0001 | ETA 01:03:36 2020-12-17 07:51:09 [INFO] [TRAIN] epoch=53, iter=34380/40000, loss=0.1190, lr=0.001710, batch_cost=0.7130, reader_cost=0.0237 | ETA 01:06:47 2020-12-17 07:51:17 [INFO] [TRAIN] epoch=53, iter=34390/40000, loss=0.1503, lr=0.001707, batch_cost=0.8118, reader_cost=0.0001 | ETA 01:15:54 2020-12-17 07:51:24 [INFO] [TRAIN] epoch=53, iter=34400/40000, loss=0.1003, lr=0.001704, batch_cost=0.7051, reader_cost=0.0001 | ETA 01:05:48 2020-12-17 07:51:31 [INFO] [TRAIN] epoch=53, iter=34410/40000, loss=0.1696, lr=0.001702, batch_cost=0.6950, reader_cost=0.0001 | ETA 01:04:44 2020-12-17 07:51:38 [INFO] [TRAIN] epoch=53, iter=34420/40000, loss=0.1157, lr=0.001699, batch_cost=0.7048, reader_cost=0.0001 | ETA 01:05:33 2020-12-17 07:51:46 [INFO] [TRAIN] epoch=53, iter=34430/40000, loss=0.1081, lr=0.001696, batch_cost=0.7024, reader_cost=0.0001 | ETA 01:05:12 2020-12-17 07:51:52 [INFO] [TRAIN] epoch=53, iter=34440/40000, loss=0.1231, lr=0.001693, batch_cost=0.6968, reader_cost=0.0001 | ETA 01:04:34 2020-12-17 07:52:00 [INFO] [TRAIN] epoch=53, iter=34450/40000, loss=0.1491, lr=0.001691, batch_cost=0.7105, reader_cost=0.0001 | ETA 01:05:43 2020-12-17 07:52:07 [INFO] [TRAIN] epoch=53, iter=34460/40000, loss=0.1290, lr=0.001688, batch_cost=0.7001, reader_cost=0.0001 | ETA 01:04:38 2020-12-17 07:52:14 [INFO] [TRAIN] epoch=53, iter=34470/40000, loss=0.1060, lr=0.001685, batch_cost=0.7669, reader_cost=0.0020 | ETA 01:10:40 2020-12-17 07:52:22 [INFO] [TRAIN] epoch=53, iter=34480/40000, loss=0.1066, lr=0.001683, batch_cost=0.7663, reader_cost=0.0014 | ETA 01:10:29 2020-12-17 07:52:30 [INFO] [TRAIN] epoch=53, iter=34490/40000, loss=0.1147, lr=0.001680, batch_cost=0.7755, reader_cost=0.0001 | ETA 01:11:12 2020-12-17 07:52:38 [INFO] [TRAIN] epoch=53, iter=34500/40000, loss=0.1207, lr=0.001677, batch_cost=0.7949, reader_cost=0.0001 | ETA 01:12:52 2020-12-17 07:52:45 [INFO] [TRAIN] epoch=53, iter=34510/40000, loss=0.1000, lr=0.001674, batch_cost=0.7026, reader_cost=0.0001 | ETA 01:04:17 2020-12-17 07:52:52 [INFO] [TRAIN] epoch=53, iter=34520/40000, loss=0.1144, lr=0.001672, batch_cost=0.6981, reader_cost=0.0001 | ETA 01:03:45 2020-12-17 07:52:59 [INFO] [TRAIN] epoch=53, iter=34530/40000, loss=0.1651, lr=0.001669, batch_cost=0.6976, reader_cost=0.0001 | ETA 01:03:35 2020-12-17 07:53:06 [INFO] [TRAIN] epoch=53, iter=34540/40000, loss=0.1227, lr=0.001666, batch_cost=0.6986, reader_cost=0.0001 | ETA 01:03:34 2020-12-17 07:53:13 [INFO] [TRAIN] epoch=53, iter=34550/40000, loss=0.1438, lr=0.001663, batch_cost=0.7292, reader_cost=0.0001 | ETA 01:06:14 2020-12-17 07:53:21 [INFO] [TRAIN] epoch=53, iter=34560/40000, loss=0.1037, lr=0.001661, batch_cost=0.7967, reader_cost=0.0001 | ETA 01:12:13 2020-12-17 07:53:28 [INFO] [TRAIN] epoch=53, iter=34570/40000, loss=0.1661, lr=0.001658, batch_cost=0.7473, reader_cost=0.0001 | ETA 01:07:37 2020-12-17 07:53:36 [INFO] [TRAIN] epoch=53, iter=34580/40000, loss=0.1229, lr=0.001655, batch_cost=0.7460, reader_cost=0.0001 | ETA 01:07:23 2020-12-17 07:53:43 [INFO] [TRAIN] epoch=53, iter=34590/40000, loss=0.1331, lr=0.001652, batch_cost=0.7121, reader_cost=0.0001 | ETA 01:04:12 2020-12-17 07:53:50 [INFO] [TRAIN] epoch=53, iter=34600/40000, loss=0.1330, lr=0.001650, batch_cost=0.6957, reader_cost=0.0001 | ETA 01:02:36 2020-12-17 07:53:57 [INFO] [TRAIN] epoch=53, iter=34610/40000, loss=0.1673, lr=0.001647, batch_cost=0.7404, reader_cost=0.0001 | ETA 01:06:30 2020-12-17 07:54:05 [INFO] [TRAIN] epoch=53, iter=34620/40000, loss=0.1516, lr=0.001644, batch_cost=0.7231, reader_cost=0.0001 | ETA 01:04:50 2020-12-17 07:54:15 [INFO] [TRAIN] epoch=53, iter=34630/40000, loss=0.1939, lr=0.001641, batch_cost=1.0372, reader_cost=0.0001 | ETA 01:32:49 2020-12-17 07:54:22 [INFO] [TRAIN] epoch=53, iter=34640/40000, loss=0.0907, lr=0.001639, batch_cost=0.7169, reader_cost=0.0001 | ETA 01:04:02 2020-12-17 07:54:29 [INFO] [TRAIN] epoch=53, iter=34650/40000, loss=0.1710, lr=0.001636, batch_cost=0.7201, reader_cost=0.0001 | ETA 01:04:12 2020-12-17 07:54:36 [INFO] [TRAIN] epoch=53, iter=34660/40000, loss=0.1016, lr=0.001633, batch_cost=0.7062, reader_cost=0.0001 | ETA 01:02:50 2020-12-17 07:54:43 [INFO] [TRAIN] epoch=53, iter=34670/40000, loss=0.1592, lr=0.001630, batch_cost=0.7083, reader_cost=0.0001 | ETA 01:02:55 2020-12-17 07:54:51 [INFO] [TRAIN] epoch=53, iter=34680/40000, loss=0.1452, lr=0.001628, batch_cost=0.7220, reader_cost=0.0001 | ETA 01:04:01 2020-12-17 07:54:58 [INFO] [TRAIN] epoch=53, iter=34690/40000, loss=0.1249, lr=0.001625, batch_cost=0.7288, reader_cost=0.0001 | ETA 01:04:30 2020-12-17 07:55:05 [INFO] [TRAIN] epoch=53, iter=34700/40000, loss=0.1184, lr=0.001622, batch_cost=0.7097, reader_cost=0.0001 | ETA 01:02:41 2020-12-17 07:55:12 [INFO] [TRAIN] epoch=53, iter=34710/40000, loss=0.1234, lr=0.001619, batch_cost=0.7083, reader_cost=0.0001 | ETA 01:02:26 2020-12-17 07:55:19 [INFO] [TRAIN] epoch=53, iter=34720/40000, loss=0.1212, lr=0.001617, batch_cost=0.7133, reader_cost=0.0001 | ETA 01:02:46 2020-12-17 07:55:26 [INFO] [TRAIN] epoch=53, iter=34730/40000, loss=0.1640, lr=0.001614, batch_cost=0.6961, reader_cost=0.0001 | ETA 01:01:08 2020-12-17 07:55:33 [INFO] [TRAIN] epoch=53, iter=34740/40000, loss=0.1477, lr=0.001611, batch_cost=0.7005, reader_cost=0.0001 | ETA 01:01:24 2020-12-17 07:55:40 [INFO] [TRAIN] epoch=53, iter=34750/40000, loss=0.1262, lr=0.001608, batch_cost=0.6980, reader_cost=0.0001 | ETA 01:01:04 2020-12-17 07:55:47 [INFO] [TRAIN] epoch=53, iter=34760/40000, loss=0.1447, lr=0.001606, batch_cost=0.6982, reader_cost=0.0001 | ETA 01:00:58 2020-12-17 07:55:55 [INFO] [TRAIN] epoch=53, iter=34770/40000, loss=0.0950, lr=0.001603, batch_cost=0.7359, reader_cost=0.0001 | ETA 01:04:08 2020-12-17 07:56:02 [INFO] [TRAIN] epoch=53, iter=34780/40000, loss=0.0920, lr=0.001600, batch_cost=0.7092, reader_cost=0.0001 | ETA 01:01:41 2020-12-17 07:56:09 [INFO] [TRAIN] epoch=53, iter=34790/40000, loss=0.1619, lr=0.001597, batch_cost=0.7074, reader_cost=0.0001 | ETA 01:01:25 2020-12-17 07:56:16 [INFO] [TRAIN] epoch=53, iter=34800/40000, loss=0.1108, lr=0.001594, batch_cost=0.7380, reader_cost=0.0001 | ETA 01:03:57 2020-12-17 07:56:24 [INFO] [TRAIN] epoch=53, iter=34810/40000, loss=0.1451, lr=0.001592, batch_cost=0.7462, reader_cost=0.0001 | ETA 01:04:32 2020-12-17 07:56:31 [INFO] [TRAIN] epoch=53, iter=34820/40000, loss=0.1447, lr=0.001589, batch_cost=0.7202, reader_cost=0.0001 | ETA 01:02:10 2020-12-17 07:56:42 [INFO] [TRAIN] epoch=53, iter=34830/40000, loss=0.1300, lr=0.001586, batch_cost=1.1256, reader_cost=0.0001 | ETA 01:36:59 2020-12-17 07:56:59 [INFO] [TRAIN] epoch=53, iter=34840/40000, loss=0.1089, lr=0.001583, batch_cost=1.6997, reader_cost=0.0004 | ETA 02:26:10 2020-12-17 07:57:11 [INFO] [TRAIN] epoch=53, iter=34850/40000, loss=0.1093, lr=0.001581, batch_cost=1.1768, reader_cost=0.0013 | ETA 01:41:00 2020-12-17 07:57:21 [INFO] [TRAIN] epoch=53, iter=34860/40000, loss=0.1176, lr=0.001578, batch_cost=1.0344, reader_cost=0.0001 | ETA 01:28:36 2020-12-17 07:57:28 [INFO] [TRAIN] epoch=53, iter=34870/40000, loss=0.1428, lr=0.001575, batch_cost=0.7278, reader_cost=0.0013 | ETA 01:02:13 2020-12-17 07:57:35 [INFO] [TRAIN] epoch=53, iter=34880/40000, loss=0.1490, lr=0.001572, batch_cost=0.6968, reader_cost=0.0001 | ETA 00:59:27 2020-12-17 07:57:43 [INFO] [TRAIN] epoch=53, iter=34890/40000, loss=0.0911, lr=0.001570, batch_cost=0.7369, reader_cost=0.0001 | ETA 01:02:45 2020-12-17 07:57:50 [INFO] [TRAIN] epoch=53, iter=34900/40000, loss=0.2514, lr=0.001567, batch_cost=0.6984, reader_cost=0.0001 | ETA 00:59:22 2020-12-17 07:57:57 [INFO] [TRAIN] epoch=53, iter=34910/40000, loss=0.1432, lr=0.001564, batch_cost=0.6940, reader_cost=0.0001 | ETA 00:58:52 2020-12-17 07:58:04 [INFO] [TRAIN] epoch=53, iter=34920/40000, loss=0.1866, lr=0.001561, batch_cost=0.7053, reader_cost=0.0001 | ETA 00:59:42 2020-12-17 07:58:11 [INFO] [TRAIN] epoch=53, iter=34930/40000, loss=0.0913, lr=0.001559, batch_cost=0.7549, reader_cost=0.0001 | ETA 01:03:47 2020-12-17 07:58:18 [INFO] [TRAIN] epoch=53, iter=34940/40000, loss=0.1506, lr=0.001556, batch_cost=0.7173, reader_cost=0.0001 | ETA 01:00:29 2020-12-17 07:58:25 [INFO] [TRAIN] epoch=53, iter=34950/40000, loss=0.1307, lr=0.001553, batch_cost=0.7052, reader_cost=0.0001 | ETA 00:59:21 2020-12-17 07:58:32 [INFO] [TRAIN] epoch=53, iter=34960/40000, loss=0.1993, lr=0.001550, batch_cost=0.6959, reader_cost=0.0001 | ETA 00:58:27 2020-12-17 07:58:39 [INFO] [TRAIN] epoch=53, iter=34970/40000, loss=0.1386, lr=0.001548, batch_cost=0.6991, reader_cost=0.0001 | ETA 00:58:36 2020-12-17 07:58:47 [INFO] [TRAIN] epoch=53, iter=34980/40000, loss=0.1358, lr=0.001545, batch_cost=0.7239, reader_cost=0.0001 | ETA 01:00:34 2020-12-17 07:58:54 [INFO] [TRAIN] epoch=53, iter=34990/40000, loss=0.0993, lr=0.001542, batch_cost=0.7433, reader_cost=0.0001 | ETA 01:02:03 2020-12-17 07:59:01 [INFO] [TRAIN] epoch=53, iter=35000/40000, loss=0.1554, lr=0.001539, batch_cost=0.7122, reader_cost=0.0001 | ETA 00:59:20 2020-12-17 07:59:01 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 07:59:29 [INFO] [EVAL] #Images=1449 mIoU=0.7836 Acc=0.9526 Kappa=0.8944 2020-12-17 07:59:29 [INFO] [EVAL] Class IoU: [0.9461 0.8997 0.4136 0.9086 0.6413 0.7946 0.9486 0.899 0.9154 0.4653 0.927 0.4589 0.8734 0.9049 0.889 0.8841 0.5816 0.8926 0.5259 0.9059 0.7797] 2020-12-17 07:59:29 [INFO] [EVAL] Class Acc: [0.9648 0.9325 0.4247 0.9534 0.7773 0.8903 0.9877 0.9627 0.9491 0.6845 0.9757 0.9262 0.9317 0.9621 0.9486 0.9498 0.8263 0.9449 0.8459 0.9496 0.9363] 2020-12-17 07:59:36 [INFO] [EVAL] The model with the best validation mIoU (0.7845) was saved at iter 34000. 2020-12-17 07:59:43 [INFO] [TRAIN] epoch=53, iter=35010/40000, loss=0.1043, lr=0.001536, batch_cost=0.6986, reader_cost=0.0001 | ETA 00:58:05 2020-12-17 07:59:52 [INFO] [TRAIN] epoch=53, iter=35020/40000, loss=0.1280, lr=0.001534, batch_cost=0.8690, reader_cost=0.0001 | ETA 01:12:07 2020-12-17 08:00:09 [INFO] [TRAIN] epoch=53, iter=35030/40000, loss=0.1230, lr=0.001531, batch_cost=1.7490, reader_cost=0.0013 | ETA 02:24:52 2020-12-17 08:00:17 [INFO] [TRAIN] epoch=54, iter=35040/40000, loss=0.1441, lr=0.001528, batch_cost=0.7191, reader_cost=0.0223 | ETA 00:59:26 2020-12-17 08:00:24 [INFO] [TRAIN] epoch=54, iter=35050/40000, loss=0.1328, lr=0.001525, batch_cost=0.7102, reader_cost=0.0001 | ETA 00:58:35 2020-12-17 08:00:31 [INFO] [TRAIN] epoch=54, iter=35060/40000, loss=0.0939, lr=0.001523, batch_cost=0.7510, reader_cost=0.0001 | ETA 01:01:50 2020-12-17 08:00:39 [INFO] [TRAIN] epoch=54, iter=35070/40000, loss=0.1459, lr=0.001520, batch_cost=0.7834, reader_cost=0.0001 | ETA 01:04:22 2020-12-17 08:00:46 [INFO] [TRAIN] epoch=54, iter=35080/40000, loss=0.1452, lr=0.001517, batch_cost=0.7182, reader_cost=0.0001 | ETA 00:58:53 2020-12-17 08:00:53 [INFO] [TRAIN] epoch=54, iter=35090/40000, loss=0.1565, lr=0.001514, batch_cost=0.7174, reader_cost=0.0001 | ETA 00:58:42 2020-12-17 08:01:00 [INFO] [TRAIN] epoch=54, iter=35100/40000, loss=0.2129, lr=0.001511, batch_cost=0.7020, reader_cost=0.0001 | ETA 00:57:19 2020-12-17 08:01:07 [INFO] [TRAIN] epoch=54, iter=35110/40000, loss=0.1287, lr=0.001509, batch_cost=0.6959, reader_cost=0.0001 | ETA 00:56:42 2020-12-17 08:01:15 [INFO] [TRAIN] epoch=54, iter=35120/40000, loss=0.1390, lr=0.001506, batch_cost=0.7075, reader_cost=0.0001 | ETA 00:57:32 2020-12-17 08:01:24 [INFO] [TRAIN] epoch=54, iter=35130/40000, loss=0.2082, lr=0.001503, batch_cost=0.9088, reader_cost=0.0001 | ETA 01:13:46 2020-12-17 08:01:31 [INFO] [TRAIN] epoch=54, iter=35140/40000, loss=0.1168, lr=0.001500, batch_cost=0.7051, reader_cost=0.0001 | ETA 00:57:06 2020-12-17 08:01:38 [INFO] [TRAIN] epoch=54, iter=35150/40000, loss=0.1251, lr=0.001498, batch_cost=0.6951, reader_cost=0.0001 | ETA 00:56:11 2020-12-17 08:01:45 [INFO] [TRAIN] epoch=54, iter=35160/40000, loss=0.1364, lr=0.001495, batch_cost=0.7098, reader_cost=0.0001 | ETA 00:57:15 2020-12-17 08:01:52 [INFO] [TRAIN] epoch=54, iter=35170/40000, loss=0.0986, lr=0.001492, batch_cost=0.7001, reader_cost=0.0001 | ETA 00:56:21 2020-12-17 08:01:59 [INFO] [TRAIN] epoch=54, iter=35180/40000, loss=0.0779, lr=0.001489, batch_cost=0.7017, reader_cost=0.0001 | ETA 00:56:22 2020-12-17 08:02:06 [INFO] [TRAIN] epoch=54, iter=35190/40000, loss=0.1643, lr=0.001486, batch_cost=0.6980, reader_cost=0.0001 | ETA 00:55:57 2020-12-17 08:02:13 [INFO] [TRAIN] epoch=54, iter=35200/40000, loss=0.1089, lr=0.001484, batch_cost=0.7034, reader_cost=0.0001 | ETA 00:56:16 2020-12-17 08:02:20 [INFO] [TRAIN] epoch=54, iter=35210/40000, loss=0.1568, lr=0.001481, batch_cost=0.7004, reader_cost=0.0001 | ETA 00:55:54 2020-12-17 08:02:27 [INFO] [TRAIN] epoch=54, iter=35220/40000, loss=0.1565, lr=0.001478, batch_cost=0.7024, reader_cost=0.0001 | ETA 00:55:57 2020-12-17 08:02:34 [INFO] [TRAIN] epoch=54, iter=35230/40000, loss=0.1111, lr=0.001475, batch_cost=0.7082, reader_cost=0.0001 | ETA 00:56:17 2020-12-17 08:02:41 [INFO] [TRAIN] epoch=54, iter=35240/40000, loss=0.1148, lr=0.001473, batch_cost=0.6965, reader_cost=0.0001 | ETA 00:55:15 2020-12-17 08:02:48 [INFO] [TRAIN] epoch=54, iter=35250/40000, loss=0.0765, lr=0.001470, batch_cost=0.7377, reader_cost=0.0001 | ETA 00:58:24 2020-12-17 08:02:56 [INFO] [TRAIN] epoch=54, iter=35260/40000, loss=0.1123, lr=0.001467, batch_cost=0.7387, reader_cost=0.0001 | ETA 00:58:21 2020-12-17 08:03:03 [INFO] [TRAIN] epoch=54, iter=35270/40000, loss=0.1849, lr=0.001464, batch_cost=0.7308, reader_cost=0.0001 | ETA 00:57:36 2020-12-17 08:03:10 [INFO] [TRAIN] epoch=54, iter=35280/40000, loss=0.1200, lr=0.001461, batch_cost=0.7046, reader_cost=0.0001 | ETA 00:55:25 2020-12-17 08:03:18 [INFO] [TRAIN] epoch=54, iter=35290/40000, loss=0.1191, lr=0.001459, batch_cost=0.8423, reader_cost=0.0001 | ETA 01:06:07 2020-12-17 08:03:26 [INFO] [TRAIN] epoch=54, iter=35300/40000, loss=0.1275, lr=0.001456, batch_cost=0.7201, reader_cost=0.0001 | ETA 00:56:24 2020-12-17 08:03:33 [INFO] [TRAIN] epoch=54, iter=35310/40000, loss=0.1187, lr=0.001453, batch_cost=0.7057, reader_cost=0.0001 | ETA 00:55:09 2020-12-17 08:03:40 [INFO] [TRAIN] epoch=54, iter=35320/40000, loss=0.1178, lr=0.001450, batch_cost=0.7128, reader_cost=0.0001 | ETA 00:55:35 2020-12-17 08:03:47 [INFO] [TRAIN] epoch=54, iter=35330/40000, loss=0.1093, lr=0.001447, batch_cost=0.7028, reader_cost=0.0001 | ETA 00:54:42 2020-12-17 08:03:54 [INFO] [TRAIN] epoch=54, iter=35340/40000, loss=0.0975, lr=0.001445, batch_cost=0.7024, reader_cost=0.0001 | ETA 00:54:33 2020-12-17 08:04:01 [INFO] [TRAIN] epoch=54, iter=35350/40000, loss=0.1212, lr=0.001442, batch_cost=0.6996, reader_cost=0.0001 | ETA 00:54:13 2020-12-17 08:04:08 [INFO] [TRAIN] epoch=54, iter=35360/40000, loss=0.1918, lr=0.001439, batch_cost=0.7037, reader_cost=0.0001 | ETA 00:54:24 2020-12-17 08:04:15 [INFO] [TRAIN] epoch=54, iter=35370/40000, loss=0.1169, lr=0.001436, batch_cost=0.7062, reader_cost=0.0001 | ETA 00:54:29 2020-12-17 08:04:22 [INFO] [TRAIN] epoch=54, iter=35380/40000, loss=0.1002, lr=0.001434, batch_cost=0.7045, reader_cost=0.0001 | ETA 00:54:14 2020-12-17 08:04:29 [INFO] [TRAIN] epoch=54, iter=35390/40000, loss=0.1345, lr=0.001431, batch_cost=0.7014, reader_cost=0.0001 | ETA 00:53:53 2020-12-17 08:04:36 [INFO] [TRAIN] epoch=54, iter=35400/40000, loss=0.1316, lr=0.001428, batch_cost=0.7168, reader_cost=0.0001 | ETA 00:54:57 2020-12-17 08:04:43 [INFO] [TRAIN] epoch=54, iter=35410/40000, loss=0.0928, lr=0.001425, batch_cost=0.7001, reader_cost=0.0001 | ETA 00:53:33 2020-12-17 08:04:51 [INFO] [TRAIN] epoch=54, iter=35420/40000, loss=0.1210, lr=0.001422, batch_cost=0.7412, reader_cost=0.0001 | ETA 00:56:34 2020-12-17 08:04:58 [INFO] [TRAIN] epoch=54, iter=35430/40000, loss=0.1475, lr=0.001420, batch_cost=0.7261, reader_cost=0.0001 | ETA 00:55:18 2020-12-17 08:05:05 [INFO] [TRAIN] epoch=54, iter=35440/40000, loss=0.1354, lr=0.001417, batch_cost=0.6975, reader_cost=0.0001 | ETA 00:53:00 2020-12-17 08:05:12 [INFO] [TRAIN] epoch=54, iter=35450/40000, loss=0.1797, lr=0.001414, batch_cost=0.7385, reader_cost=0.0024 | ETA 00:56:00 2020-12-17 08:05:20 [INFO] [TRAIN] epoch=54, iter=35460/40000, loss=0.1514, lr=0.001411, batch_cost=0.7423, reader_cost=0.0001 | ETA 00:56:09 2020-12-17 08:05:27 [INFO] [TRAIN] epoch=54, iter=35470/40000, loss=0.0904, lr=0.001408, batch_cost=0.7641, reader_cost=0.0001 | ETA 00:57:41 2020-12-17 08:05:34 [INFO] [TRAIN] epoch=54, iter=35480/40000, loss=0.1147, lr=0.001406, batch_cost=0.7222, reader_cost=0.0001 | ETA 00:54:24 2020-12-17 08:05:41 [INFO] [TRAIN] epoch=54, iter=35490/40000, loss=0.1100, lr=0.001403, batch_cost=0.7021, reader_cost=0.0001 | ETA 00:52:46 2020-12-17 08:05:49 [INFO] [TRAIN] epoch=54, iter=35500/40000, loss=0.1119, lr=0.001400, batch_cost=0.7032, reader_cost=0.0001 | ETA 00:52:44 2020-12-17 08:05:55 [INFO] [TRAIN] epoch=54, iter=35510/40000, loss=0.1473, lr=0.001397, batch_cost=0.6969, reader_cost=0.0001 | ETA 00:52:08 2020-12-17 08:06:02 [INFO] [TRAIN] epoch=54, iter=35520/40000, loss=0.1221, lr=0.001394, batch_cost=0.7003, reader_cost=0.0001 | ETA 00:52:17 2020-12-17 08:06:10 [INFO] [TRAIN] epoch=54, iter=35530/40000, loss=0.1247, lr=0.001392, batch_cost=0.7044, reader_cost=0.0001 | ETA 00:52:28 2020-12-17 08:06:17 [INFO] [TRAIN] epoch=54, iter=35540/40000, loss=0.1115, lr=0.001389, batch_cost=0.6978, reader_cost=0.0001 | ETA 00:51:52 2020-12-17 08:06:23 [INFO] [TRAIN] epoch=54, iter=35550/40000, loss=0.1009, lr=0.001386, batch_cost=0.6974, reader_cost=0.0001 | ETA 00:51:43 2020-12-17 08:06:31 [INFO] [TRAIN] epoch=54, iter=35560/40000, loss=0.0804, lr=0.001383, batch_cost=0.7024, reader_cost=0.0001 | ETA 00:51:58 2020-12-17 08:06:37 [INFO] [TRAIN] epoch=54, iter=35570/40000, loss=0.1048, lr=0.001380, batch_cost=0.6931, reader_cost=0.0001 | ETA 00:51:10 2020-12-17 08:06:44 [INFO] [TRAIN] epoch=54, iter=35580/40000, loss=0.1145, lr=0.001378, batch_cost=0.7043, reader_cost=0.0001 | ETA 00:51:52 2020-12-17 08:06:51 [INFO] [TRAIN] epoch=54, iter=35590/40000, loss=0.1187, lr=0.001375, batch_cost=0.6990, reader_cost=0.0001 | ETA 00:51:22 2020-12-17 08:06:58 [INFO] [TRAIN] epoch=54, iter=35600/40000, loss=0.1113, lr=0.001372, batch_cost=0.6960, reader_cost=0.0001 | ETA 00:51:02 2020-12-17 08:07:05 [INFO] [TRAIN] epoch=54, iter=35610/40000, loss=0.1109, lr=0.001369, batch_cost=0.7015, reader_cost=0.0001 | ETA 00:51:19 2020-12-17 08:07:13 [INFO] [TRAIN] epoch=54, iter=35620/40000, loss=0.1197, lr=0.001366, batch_cost=0.7411, reader_cost=0.0001 | ETA 00:54:06 2020-12-17 08:07:20 [INFO] [TRAIN] epoch=54, iter=35630/40000, loss=0.1246, lr=0.001364, batch_cost=0.7336, reader_cost=0.0001 | ETA 00:53:25 2020-12-17 08:07:28 [INFO] [TRAIN] epoch=54, iter=35640/40000, loss=0.1174, lr=0.001361, batch_cost=0.7293, reader_cost=0.0001 | ETA 00:52:59 2020-12-17 08:07:35 [INFO] [TRAIN] epoch=54, iter=35650/40000, loss=0.1187, lr=0.001358, batch_cost=0.7028, reader_cost=0.0001 | ETA 00:50:57 2020-12-17 08:07:42 [INFO] [TRAIN] epoch=54, iter=35660/40000, loss=0.1498, lr=0.001355, batch_cost=0.7063, reader_cost=0.0001 | ETA 00:51:05 2020-12-17 08:07:49 [INFO] [TRAIN] epoch=54, iter=35670/40000, loss=0.1121, lr=0.001352, batch_cost=0.6985, reader_cost=0.0001 | ETA 00:50:24 2020-12-17 08:07:56 [INFO] [TRAIN] epoch=54, iter=35680/40000, loss=0.1130, lr=0.001349, batch_cost=0.7497, reader_cost=0.0001 | ETA 00:53:58 2020-12-17 08:08:03 [INFO] [TRAIN] epoch=54, iter=35690/40000, loss=0.1842, lr=0.001347, batch_cost=0.7168, reader_cost=0.0001 | ETA 00:51:29 2020-12-17 08:08:10 [INFO] [TRAIN] epoch=55, iter=35700/40000, loss=0.1039, lr=0.001344, batch_cost=0.7040, reader_cost=0.0187 | ETA 00:50:27 2020-12-17 08:08:19 [INFO] [TRAIN] epoch=55, iter=35710/40000, loss=0.1079, lr=0.001341, batch_cost=0.8935, reader_cost=0.0001 | ETA 01:03:53 2020-12-17 08:08:27 [INFO] [TRAIN] epoch=55, iter=35720/40000, loss=0.1101, lr=0.001338, batch_cost=0.7471, reader_cost=0.0001 | ETA 00:53:17 2020-12-17 08:08:34 [INFO] [TRAIN] epoch=55, iter=35730/40000, loss=0.1156, lr=0.001335, batch_cost=0.6968, reader_cost=0.0001 | ETA 00:49:35 2020-12-17 08:08:41 [INFO] [TRAIN] epoch=55, iter=35740/40000, loss=0.0942, lr=0.001333, batch_cost=0.6920, reader_cost=0.0001 | ETA 00:49:07 2020-12-17 08:08:48 [INFO] [TRAIN] epoch=55, iter=35750/40000, loss=0.1000, lr=0.001330, batch_cost=0.7016, reader_cost=0.0001 | ETA 00:49:41 2020-12-17 08:08:55 [INFO] [TRAIN] epoch=55, iter=35760/40000, loss=0.1124, lr=0.001327, batch_cost=0.7236, reader_cost=0.0001 | ETA 00:51:07 2020-12-17 08:09:02 [INFO] [TRAIN] epoch=55, iter=35770/40000, loss=0.1269, lr=0.001324, batch_cost=0.7320, reader_cost=0.0001 | ETA 00:51:36 2020-12-17 08:09:09 [INFO] [TRAIN] epoch=55, iter=35780/40000, loss=0.1186, lr=0.001321, batch_cost=0.7009, reader_cost=0.0001 | ETA 00:49:17 2020-12-17 08:09:17 [INFO] [TRAIN] epoch=55, iter=35790/40000, loss=0.1076, lr=0.001319, batch_cost=0.7440, reader_cost=0.0001 | ETA 00:52:12 2020-12-17 08:09:24 [INFO] [TRAIN] epoch=55, iter=35800/40000, loss=0.1091, lr=0.001316, batch_cost=0.6980, reader_cost=0.0001 | ETA 00:48:51 2020-12-17 08:09:31 [INFO] [TRAIN] epoch=55, iter=35810/40000, loss=0.1286, lr=0.001313, batch_cost=0.7003, reader_cost=0.0001 | ETA 00:48:54 2020-12-17 08:09:38 [INFO] [TRAIN] epoch=55, iter=35820/40000, loss=0.0916, lr=0.001310, batch_cost=0.7077, reader_cost=0.0001 | ETA 00:49:18 2020-12-17 08:09:45 [INFO] [TRAIN] epoch=55, iter=35830/40000, loss=0.1077, lr=0.001307, batch_cost=0.6957, reader_cost=0.0001 | ETA 00:48:21 2020-12-17 08:09:52 [INFO] [TRAIN] epoch=55, iter=35840/40000, loss=0.1127, lr=0.001304, batch_cost=0.7305, reader_cost=0.0001 | ETA 00:50:38 2020-12-17 08:09:59 [INFO] [TRAIN] epoch=55, iter=35850/40000, loss=0.1062, lr=0.001302, batch_cost=0.7014, reader_cost=0.0001 | ETA 00:48:30 2020-12-17 08:10:06 [INFO] [TRAIN] epoch=55, iter=35860/40000, loss=0.1197, lr=0.001299, batch_cost=0.7552, reader_cost=0.0001 | ETA 00:52:06 2020-12-17 08:10:14 [INFO] [TRAIN] epoch=55, iter=35870/40000, loss=0.0817, lr=0.001296, batch_cost=0.7013, reader_cost=0.0001 | ETA 00:48:16 2020-12-17 08:10:20 [INFO] [TRAIN] epoch=55, iter=35880/40000, loss=0.1269, lr=0.001293, batch_cost=0.6943, reader_cost=0.0001 | ETA 00:47:40 2020-12-17 08:10:27 [INFO] [TRAIN] epoch=55, iter=35890/40000, loss=0.0994, lr=0.001290, batch_cost=0.6974, reader_cost=0.0001 | ETA 00:47:46 2020-12-17 08:10:35 [INFO] [TRAIN] epoch=55, iter=35900/40000, loss=0.1390, lr=0.001287, batch_cost=0.7213, reader_cost=0.0001 | ETA 00:49:17 2020-12-17 08:10:42 [INFO] [TRAIN] epoch=55, iter=35910/40000, loss=0.1284, lr=0.001285, batch_cost=0.7192, reader_cost=0.0020 | ETA 00:49:01 2020-12-17 08:10:49 [INFO] [TRAIN] epoch=55, iter=35920/40000, loss=0.1129, lr=0.001282, batch_cost=0.7392, reader_cost=0.0001 | ETA 00:50:15 2020-12-17 08:10:56 [INFO] [TRAIN] epoch=55, iter=35930/40000, loss=0.1253, lr=0.001279, batch_cost=0.7204, reader_cost=0.0001 | ETA 00:48:51 2020-12-17 08:11:03 [INFO] [TRAIN] epoch=55, iter=35940/40000, loss=0.1008, lr=0.001276, batch_cost=0.7035, reader_cost=0.0001 | ETA 00:47:36 2020-12-17 08:11:17 [INFO] [TRAIN] epoch=55, iter=35950/40000, loss=0.1387, lr=0.001273, batch_cost=1.3195, reader_cost=0.0001 | ETA 01:29:04 2020-12-17 08:11:25 [INFO] [TRAIN] epoch=55, iter=35960/40000, loss=0.0991, lr=0.001271, batch_cost=0.8317, reader_cost=0.0001 | ETA 00:55:59 2020-12-17 08:11:37 [INFO] [TRAIN] epoch=55, iter=35970/40000, loss=0.1348, lr=0.001268, batch_cost=1.2370, reader_cost=0.0001 | ETA 01:23:05 2020-12-17 08:11:54 [INFO] [TRAIN] epoch=55, iter=35980/40000, loss=0.1002, lr=0.001265, batch_cost=1.6865, reader_cost=0.0001 | ETA 01:52:59 2020-12-17 08:12:09 [INFO] [TRAIN] epoch=55, iter=35990/40000, loss=0.1213, lr=0.001262, batch_cost=1.4384, reader_cost=0.0001 | ETA 01:36:07 2020-12-17 08:12:24 [INFO] [TRAIN] epoch=55, iter=36000/40000, loss=0.1120, lr=0.001259, batch_cost=1.5004, reader_cost=0.0001 | ETA 01:40:01 2020-12-17 08:12:24 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 08:12:54 [INFO] [EVAL] #Images=1449 mIoU=0.7869 Acc=0.9529 Kappa=0.8946 2020-12-17 08:12:54 [INFO] [EVAL] Class IoU: [0.9454 0.9125 0.4378 0.9058 0.6526 0.8116 0.9546 0.8849 0.9111 0.4311 0.873 0.5686 0.8757 0.8702 0.863 0.8834 0.6153 0.9213 0.5182 0.8918 0.7965] 2020-12-17 08:12:54 [INFO] [EVAL] Class Acc: [0.963 0.9476 0.4548 0.9546 0.7618 0.8918 0.9819 0.9442 0.9567 0.7766 0.974 0.921 0.9255 0.9141 0.9378 0.9541 0.8035 0.9637 0.8817 0.9616 0.9758] 2020-12-17 08:13:04 [INFO] [EVAL] The model with the best validation mIoU (0.7869) was saved at iter 36000. 2020-12-17 08:13:11 [INFO] [TRAIN] epoch=55, iter=36010/40000, loss=0.0871, lr=0.001256, batch_cost=0.7059, reader_cost=0.0001 | ETA 00:46:56 2020-12-17 08:13:19 [INFO] [TRAIN] epoch=55, iter=36020/40000, loss=0.1203, lr=0.001254, batch_cost=0.8115, reader_cost=0.0001 | ETA 00:53:49 2020-12-17 08:13:26 [INFO] [TRAIN] epoch=55, iter=36030/40000, loss=0.0924, lr=0.001251, batch_cost=0.7090, reader_cost=0.0001 | ETA 00:46:54 2020-12-17 08:13:33 [INFO] [TRAIN] epoch=55, iter=36040/40000, loss=0.0957, lr=0.001248, batch_cost=0.6993, reader_cost=0.0001 | ETA 00:46:09 2020-12-17 08:13:40 [INFO] [TRAIN] epoch=55, iter=36050/40000, loss=0.1071, lr=0.001245, batch_cost=0.6941, reader_cost=0.0001 | ETA 00:45:41 2020-12-17 08:13:48 [INFO] [TRAIN] epoch=55, iter=36060/40000, loss=0.2011, lr=0.001242, batch_cost=0.7175, reader_cost=0.0001 | ETA 00:47:06 2020-12-17 08:13:55 [INFO] [TRAIN] epoch=55, iter=36070/40000, loss=0.1153, lr=0.001239, batch_cost=0.7529, reader_cost=0.0001 | ETA 00:49:19 2020-12-17 08:14:02 [INFO] [TRAIN] epoch=55, iter=36080/40000, loss=0.0998, lr=0.001237, batch_cost=0.7257, reader_cost=0.0001 | ETA 00:47:24 2020-12-17 08:14:09 [INFO] [TRAIN] epoch=55, iter=36090/40000, loss=0.1057, lr=0.001234, batch_cost=0.7109, reader_cost=0.0001 | ETA 00:46:19 2020-12-17 08:14:17 [INFO] [TRAIN] epoch=55, iter=36100/40000, loss=0.1312, lr=0.001231, batch_cost=0.7539, reader_cost=0.0001 | ETA 00:49:00 2020-12-17 08:14:24 [INFO] [TRAIN] epoch=55, iter=36110/40000, loss=0.1030, lr=0.001228, batch_cost=0.6985, reader_cost=0.0001 | ETA 00:45:17 2020-12-17 08:14:31 [INFO] [TRAIN] epoch=55, iter=36120/40000, loss=0.1018, lr=0.001225, batch_cost=0.6955, reader_cost=0.0001 | ETA 00:44:58 2020-12-17 08:14:40 [INFO] [TRAIN] epoch=55, iter=36130/40000, loss=0.1000, lr=0.001222, batch_cost=0.8677, reader_cost=0.0001 | ETA 00:55:58 2020-12-17 08:14:53 [INFO] [TRAIN] epoch=55, iter=36140/40000, loss=0.2080, lr=0.001219, batch_cost=1.2950, reader_cost=0.0012 | ETA 01:23:18 2020-12-17 08:15:00 [INFO] [TRAIN] epoch=55, iter=36150/40000, loss=0.1031, lr=0.001217, batch_cost=0.7229, reader_cost=0.0001 | ETA 00:46:23 2020-12-17 08:15:07 [INFO] [TRAIN] epoch=55, iter=36160/40000, loss=0.1386, lr=0.001214, batch_cost=0.7172, reader_cost=0.0001 | ETA 00:45:53 2020-12-17 08:15:14 [INFO] [TRAIN] epoch=55, iter=36170/40000, loss=0.1109, lr=0.001211, batch_cost=0.7112, reader_cost=0.0001 | ETA 00:45:23 2020-12-17 08:15:21 [INFO] [TRAIN] epoch=55, iter=36180/40000, loss=0.1153, lr=0.001208, batch_cost=0.7357, reader_cost=0.0001 | ETA 00:46:50 2020-12-17 08:15:29 [INFO] [TRAIN] epoch=55, iter=36190/40000, loss=0.1409, lr=0.001205, batch_cost=0.7329, reader_cost=0.0001 | ETA 00:46:32 2020-12-17 08:15:36 [INFO] [TRAIN] epoch=55, iter=36200/40000, loss=0.0924, lr=0.001202, batch_cost=0.7282, reader_cost=0.0001 | ETA 00:46:07 2020-12-17 08:15:49 [INFO] [TRAIN] epoch=55, iter=36210/40000, loss=0.1134, lr=0.001200, batch_cost=1.3167, reader_cost=0.0001 | ETA 01:23:10 2020-12-17 08:15:56 [INFO] [TRAIN] epoch=55, iter=36220/40000, loss=0.1069, lr=0.001197, batch_cost=0.7077, reader_cost=0.0001 | ETA 00:44:35 2020-12-17 08:16:04 [INFO] [TRAIN] epoch=55, iter=36230/40000, loss=0.0976, lr=0.001194, batch_cost=0.7269, reader_cost=0.0001 | ETA 00:45:40 2020-12-17 08:16:12 [INFO] [TRAIN] epoch=55, iter=36240/40000, loss=0.1303, lr=0.001191, batch_cost=0.8075, reader_cost=0.0001 | ETA 00:50:36 2020-12-17 08:16:21 [INFO] [TRAIN] epoch=55, iter=36250/40000, loss=0.1083, lr=0.001188, batch_cost=0.9600, reader_cost=0.0001 | ETA 00:59:59 2020-12-17 08:16:33 [INFO] [TRAIN] epoch=55, iter=36260/40000, loss=0.0746, lr=0.001185, batch_cost=1.1856, reader_cost=0.0001 | ETA 01:13:54 2020-12-17 08:16:40 [INFO] [TRAIN] epoch=55, iter=36270/40000, loss=0.1027, lr=0.001182, batch_cost=0.7118, reader_cost=0.0001 | ETA 00:44:15 2020-12-17 08:16:48 [INFO] [TRAIN] epoch=55, iter=36280/40000, loss=0.1397, lr=0.001180, batch_cost=0.7401, reader_cost=0.0001 | ETA 00:45:53 2020-12-17 08:16:55 [INFO] [TRAIN] epoch=55, iter=36290/40000, loss=0.1073, lr=0.001177, batch_cost=0.7057, reader_cost=0.0001 | ETA 00:43:38 2020-12-17 08:17:02 [INFO] [TRAIN] epoch=55, iter=36300/40000, loss=0.1152, lr=0.001174, batch_cost=0.6933, reader_cost=0.0001 | ETA 00:42:45 2020-12-17 08:17:09 [INFO] [TRAIN] epoch=55, iter=36310/40000, loss=0.1382, lr=0.001171, batch_cost=0.6941, reader_cost=0.0001 | ETA 00:42:41 2020-12-17 08:17:16 [INFO] [TRAIN] epoch=55, iter=36320/40000, loss=0.1230, lr=0.001168, batch_cost=0.7181, reader_cost=0.0001 | ETA 00:44:02 2020-12-17 08:17:23 [INFO] [TRAIN] epoch=55, iter=36330/40000, loss=0.1345, lr=0.001165, batch_cost=0.7732, reader_cost=0.0001 | ETA 00:47:17 2020-12-17 08:17:31 [INFO] [TRAIN] epoch=55, iter=36340/40000, loss=0.1150, lr=0.001162, batch_cost=0.7410, reader_cost=0.0001 | ETA 00:45:12 2020-12-17 08:17:39 [INFO] [TRAIN] epoch=55, iter=36350/40000, loss=0.0879, lr=0.001160, batch_cost=0.8454, reader_cost=0.0001 | ETA 00:51:25 2020-12-17 08:17:48 [INFO] [TRAIN] epoch=56, iter=36360/40000, loss=0.1400, lr=0.001157, batch_cost=0.8363, reader_cost=0.0231 | ETA 00:50:44 2020-12-17 08:17:55 [INFO] [TRAIN] epoch=56, iter=36370/40000, loss=0.1163, lr=0.001154, batch_cost=0.7071, reader_cost=0.0001 | ETA 00:42:46 2020-12-17 08:18:02 [INFO] [TRAIN] epoch=56, iter=36380/40000, loss=0.1018, lr=0.001151, batch_cost=0.7157, reader_cost=0.0001 | ETA 00:43:10 2020-12-17 08:18:09 [INFO] [TRAIN] epoch=56, iter=36390/40000, loss=0.1451, lr=0.001148, batch_cost=0.6939, reader_cost=0.0001 | ETA 00:41:44 2020-12-17 08:18:16 [INFO] [TRAIN] epoch=56, iter=36400/40000, loss=0.0981, lr=0.001145, batch_cost=0.7070, reader_cost=0.0001 | ETA 00:42:25 2020-12-17 08:18:23 [INFO] [TRAIN] epoch=56, iter=36410/40000, loss=0.0952, lr=0.001142, batch_cost=0.6930, reader_cost=0.0001 | ETA 00:41:28 2020-12-17 08:18:30 [INFO] [TRAIN] epoch=56, iter=36420/40000, loss=0.0890, lr=0.001140, batch_cost=0.6965, reader_cost=0.0001 | ETA 00:41:33 2020-12-17 08:18:37 [INFO] [TRAIN] epoch=56, iter=36430/40000, loss=0.0933, lr=0.001137, batch_cost=0.6986, reader_cost=0.0001 | ETA 00:41:34 2020-12-17 08:18:44 [INFO] [TRAIN] epoch=56, iter=36440/40000, loss=0.1053, lr=0.001134, batch_cost=0.7022, reader_cost=0.0001 | ETA 00:41:39 2020-12-17 08:18:51 [INFO] [TRAIN] epoch=56, iter=36450/40000, loss=0.1156, lr=0.001131, batch_cost=0.7426, reader_cost=0.0001 | ETA 00:43:56 2020-12-17 08:18:58 [INFO] [TRAIN] epoch=56, iter=36460/40000, loss=0.1301, lr=0.001128, batch_cost=0.7191, reader_cost=0.0001 | ETA 00:42:25 2020-12-17 08:19:05 [INFO] [TRAIN] epoch=56, iter=36470/40000, loss=0.0922, lr=0.001125, batch_cost=0.7009, reader_cost=0.0001 | ETA 00:41:14 2020-12-17 08:19:12 [INFO] [TRAIN] epoch=56, iter=36480/40000, loss=0.0854, lr=0.001122, batch_cost=0.6985, reader_cost=0.0001 | ETA 00:40:58 2020-12-17 08:19:19 [INFO] [TRAIN] epoch=56, iter=36490/40000, loss=0.1369, lr=0.001120, batch_cost=0.6949, reader_cost=0.0001 | ETA 00:40:39 2020-12-17 08:19:26 [INFO] [TRAIN] epoch=56, iter=36500/40000, loss=0.1135, lr=0.001117, batch_cost=0.7024, reader_cost=0.0001 | ETA 00:40:58 2020-12-17 08:19:34 [INFO] [TRAIN] epoch=56, iter=36510/40000, loss=0.1070, lr=0.001114, batch_cost=0.7411, reader_cost=0.0001 | ETA 00:43:06 2020-12-17 08:19:41 [INFO] [TRAIN] epoch=56, iter=36520/40000, loss=0.1262, lr=0.001111, batch_cost=0.7002, reader_cost=0.0001 | ETA 00:40:36 2020-12-17 08:19:48 [INFO] [TRAIN] epoch=56, iter=36530/40000, loss=0.1161, lr=0.001108, batch_cost=0.7274, reader_cost=0.0001 | ETA 00:42:04 2020-12-17 08:19:56 [INFO] [TRAIN] epoch=56, iter=36540/40000, loss=0.1300, lr=0.001105, batch_cost=0.8201, reader_cost=0.0009 | ETA 00:47:17 2020-12-17 08:20:04 [INFO] [TRAIN] epoch=56, iter=36550/40000, loss=0.1075, lr=0.001102, batch_cost=0.7996, reader_cost=0.0001 | ETA 00:45:58 2020-12-17 08:20:11 [INFO] [TRAIN] epoch=56, iter=36560/40000, loss=0.1113, lr=0.001099, batch_cost=0.7011, reader_cost=0.0001 | ETA 00:40:11 2020-12-17 08:20:18 [INFO] [TRAIN] epoch=56, iter=36570/40000, loss=0.1127, lr=0.001097, batch_cost=0.6991, reader_cost=0.0001 | ETA 00:39:57 2020-12-17 08:20:25 [INFO] [TRAIN] epoch=56, iter=36580/40000, loss=0.0976, lr=0.001094, batch_cost=0.7001, reader_cost=0.0001 | ETA 00:39:54 2020-12-17 08:20:32 [INFO] [TRAIN] epoch=56, iter=36590/40000, loss=0.0968, lr=0.001091, batch_cost=0.7002, reader_cost=0.0001 | ETA 00:39:47 2020-12-17 08:20:42 [INFO] [TRAIN] epoch=56, iter=36600/40000, loss=0.1463, lr=0.001088, batch_cost=0.9912, reader_cost=0.0001 | ETA 00:56:10 2020-12-17 08:20:50 [INFO] [TRAIN] epoch=56, iter=36610/40000, loss=0.1150, lr=0.001085, batch_cost=0.7308, reader_cost=0.0001 | ETA 00:41:17 2020-12-17 08:20:56 [INFO] [TRAIN] epoch=56, iter=36620/40000, loss=0.1186, lr=0.001082, batch_cost=0.6955, reader_cost=0.0001 | ETA 00:39:10 2020-12-17 08:21:03 [INFO] [TRAIN] epoch=56, iter=36630/40000, loss=0.1453, lr=0.001079, batch_cost=0.6944, reader_cost=0.0001 | ETA 00:39:00 2020-12-17 08:21:11 [INFO] [TRAIN] epoch=56, iter=36640/40000, loss=0.1186, lr=0.001076, batch_cost=0.7838, reader_cost=0.0001 | ETA 00:43:53 2020-12-17 08:21:18 [INFO] [TRAIN] epoch=56, iter=36650/40000, loss=0.0755, lr=0.001074, batch_cost=0.7091, reader_cost=0.0001 | ETA 00:39:35 2020-12-17 08:21:25 [INFO] [TRAIN] epoch=56, iter=36660/40000, loss=0.1064, lr=0.001071, batch_cost=0.7027, reader_cost=0.0001 | ETA 00:39:07 2020-12-17 08:21:33 [INFO] [TRAIN] epoch=56, iter=36670/40000, loss=0.1479, lr=0.001068, batch_cost=0.7368, reader_cost=0.0001 | ETA 00:40:53 2020-12-17 08:21:40 [INFO] [TRAIN] epoch=56, iter=36680/40000, loss=0.1068, lr=0.001065, batch_cost=0.7042, reader_cost=0.0001 | ETA 00:38:57 2020-12-17 08:21:47 [INFO] [TRAIN] epoch=56, iter=36690/40000, loss=0.1522, lr=0.001062, batch_cost=0.7000, reader_cost=0.0001 | ETA 00:38:37 2020-12-17 08:21:54 [INFO] [TRAIN] epoch=56, iter=36700/40000, loss=0.0989, lr=0.001059, batch_cost=0.7170, reader_cost=0.0001 | ETA 00:39:26 2020-12-17 08:22:02 [INFO] [TRAIN] epoch=56, iter=36710/40000, loss=0.1058, lr=0.001056, batch_cost=0.7718, reader_cost=0.0001 | ETA 00:42:19 2020-12-17 08:22:09 [INFO] [TRAIN] epoch=56, iter=36720/40000, loss=0.1190, lr=0.001053, batch_cost=0.7008, reader_cost=0.0001 | ETA 00:38:18 2020-12-17 08:22:17 [INFO] [TRAIN] epoch=56, iter=36730/40000, loss=0.1362, lr=0.001050, batch_cost=0.7898, reader_cost=0.0001 | ETA 00:43:02 2020-12-17 08:22:24 [INFO] [TRAIN] epoch=56, iter=36740/40000, loss=0.0957, lr=0.001048, batch_cost=0.7049, reader_cost=0.0001 | ETA 00:38:17 2020-12-17 08:22:31 [INFO] [TRAIN] epoch=56, iter=36750/40000, loss=0.0886, lr=0.001045, batch_cost=0.7021, reader_cost=0.0001 | ETA 00:38:01 2020-12-17 08:22:39 [INFO] [TRAIN] epoch=56, iter=36760/40000, loss=0.1042, lr=0.001042, batch_cost=0.8192, reader_cost=0.0001 | ETA 00:44:14 2020-12-17 08:22:56 [INFO] [TRAIN] epoch=56, iter=36770/40000, loss=0.1189, lr=0.001039, batch_cost=1.7217, reader_cost=0.0013 | ETA 01:32:41 2020-12-17 08:23:04 [INFO] [TRAIN] epoch=56, iter=36780/40000, loss=0.0892, lr=0.001036, batch_cost=0.7579, reader_cost=0.0001 | ETA 00:40:40 2020-12-17 08:23:11 [INFO] [TRAIN] epoch=56, iter=36790/40000, loss=0.1086, lr=0.001033, batch_cost=0.7002, reader_cost=0.0001 | ETA 00:37:27 2020-12-17 08:23:18 [INFO] [TRAIN] epoch=56, iter=36800/40000, loss=0.0913, lr=0.001030, batch_cost=0.7027, reader_cost=0.0001 | ETA 00:37:28 2020-12-17 08:23:25 [INFO] [TRAIN] epoch=56, iter=36810/40000, loss=0.1133, lr=0.001027, batch_cost=0.7636, reader_cost=0.0001 | ETA 00:40:35 2020-12-17 08:23:32 [INFO] [TRAIN] epoch=56, iter=36820/40000, loss=0.1193, lr=0.001024, batch_cost=0.7023, reader_cost=0.0016 | ETA 00:37:13 2020-12-17 08:23:40 [INFO] [TRAIN] epoch=56, iter=36830/40000, loss=0.1138, lr=0.001021, batch_cost=0.7425, reader_cost=0.0008 | ETA 00:39:13 2020-12-17 08:23:47 [INFO] [TRAIN] epoch=56, iter=36840/40000, loss=0.1184, lr=0.001019, batch_cost=0.6971, reader_cost=0.0001 | ETA 00:36:42 2020-12-17 08:23:54 [INFO] [TRAIN] epoch=56, iter=36850/40000, loss=0.1231, lr=0.001016, batch_cost=0.7058, reader_cost=0.0001 | ETA 00:37:03 2020-12-17 08:24:01 [INFO] [TRAIN] epoch=56, iter=36860/40000, loss=0.1097, lr=0.001013, batch_cost=0.7041, reader_cost=0.0001 | ETA 00:36:51 2020-12-17 08:24:08 [INFO] [TRAIN] epoch=56, iter=36870/40000, loss=0.1187, lr=0.001010, batch_cost=0.6981, reader_cost=0.0001 | ETA 00:36:25 2020-12-17 08:24:15 [INFO] [TRAIN] epoch=56, iter=36880/40000, loss=0.1293, lr=0.001007, batch_cost=0.7138, reader_cost=0.0001 | ETA 00:37:07 2020-12-17 08:24:22 [INFO] [TRAIN] epoch=56, iter=36890/40000, loss=0.1109, lr=0.001004, batch_cost=0.6956, reader_cost=0.0001 | ETA 00:36:03 2020-12-17 08:24:29 [INFO] [TRAIN] epoch=56, iter=36900/40000, loss=0.1273, lr=0.001001, batch_cost=0.7277, reader_cost=0.0001 | ETA 00:37:35 2020-12-17 08:24:36 [INFO] [TRAIN] epoch=56, iter=36910/40000, loss=0.0940, lr=0.000998, batch_cost=0.6975, reader_cost=0.0004 | ETA 00:35:55 2020-12-17 08:24:43 [INFO] [TRAIN] epoch=56, iter=36920/40000, loss=0.1774, lr=0.000995, batch_cost=0.6997, reader_cost=0.0001 | ETA 00:35:55 2020-12-17 08:24:50 [INFO] [TRAIN] epoch=56, iter=36930/40000, loss=0.0804, lr=0.000992, batch_cost=0.7095, reader_cost=0.0005 | ETA 00:36:18 2020-12-17 08:24:57 [INFO] [TRAIN] epoch=56, iter=36940/40000, loss=0.1015, lr=0.000990, batch_cost=0.7052, reader_cost=0.0001 | ETA 00:35:57 2020-12-17 08:25:04 [INFO] [TRAIN] epoch=56, iter=36950/40000, loss=0.1373, lr=0.000987, batch_cost=0.7068, reader_cost=0.0001 | ETA 00:35:55 2020-12-17 08:25:11 [INFO] [TRAIN] epoch=56, iter=36960/40000, loss=0.1048, lr=0.000984, batch_cost=0.6954, reader_cost=0.0001 | ETA 00:35:13 2020-12-17 08:25:18 [INFO] [TRAIN] epoch=56, iter=36970/40000, loss=0.1147, lr=0.000981, batch_cost=0.7067, reader_cost=0.0001 | ETA 00:35:41 2020-12-17 08:25:26 [INFO] [TRAIN] epoch=56, iter=36980/40000, loss=0.0950, lr=0.000978, batch_cost=0.7984, reader_cost=0.0001 | ETA 00:40:11 2020-12-17 08:25:33 [INFO] [TRAIN] epoch=56, iter=36990/40000, loss=0.0851, lr=0.000975, batch_cost=0.7036, reader_cost=0.0001 | ETA 00:35:17 2020-12-17 08:25:40 [INFO] [TRAIN] epoch=56, iter=37000/40000, loss=0.1394, lr=0.000972, batch_cost=0.6981, reader_cost=0.0001 | ETA 00:34:54 2020-12-17 08:25:40 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 08:26:09 [INFO] [EVAL] #Images=1449 mIoU=0.7810 Acc=0.9534 Kappa=0.8958 2020-12-17 08:26:09 [INFO] [EVAL] Class IoU: [0.948 0.9187 0.4197 0.908 0.6429 0.7051 0.9549 0.8901 0.9183 0.4179 0.893 0.5497 0.8773 0.866 0.8515 0.8864 0.6077 0.9074 0.5615 0.9028 0.7747] 2020-12-17 08:26:09 [INFO] [EVAL] Class Acc: [0.9649 0.9543 0.4359 0.9482 0.7571 0.9097 0.9832 0.9461 0.9529 0.6922 0.9745 0.9112 0.9334 0.9165 0.9078 0.9615 0.826 0.9635 0.8416 0.9686 0.9764] 2020-12-17 08:26:16 [INFO] [EVAL] The model with the best validation mIoU (0.7869) was saved at iter 36000. 2020-12-17 08:26:23 [INFO] [TRAIN] epoch=56, iter=37010/40000, loss=0.1158, lr=0.000969, batch_cost=0.7064, reader_cost=0.0001 | ETA 00:35:12 2020-12-17 08:26:30 [INFO] [TRAIN] epoch=57, iter=37020/40000, loss=0.1134, lr=0.000966, batch_cost=0.6945, reader_cost=0.0236 | ETA 00:34:29 2020-12-17 08:26:37 [INFO] [TRAIN] epoch=57, iter=37030/40000, loss=0.0961, lr=0.000963, batch_cost=0.7051, reader_cost=0.0001 | ETA 00:34:54 2020-12-17 08:26:44 [INFO] [TRAIN] epoch=57, iter=37040/40000, loss=0.1571, lr=0.000960, batch_cost=0.7091, reader_cost=0.0001 | ETA 00:34:58 2020-12-17 08:26:51 [INFO] [TRAIN] epoch=57, iter=37050/40000, loss=0.0941, lr=0.000957, batch_cost=0.7228, reader_cost=0.0001 | ETA 00:35:32 2020-12-17 08:26:58 [INFO] [TRAIN] epoch=57, iter=37060/40000, loss=0.0891, lr=0.000955, batch_cost=0.7249, reader_cost=0.0001 | ETA 00:35:31 2020-12-17 08:27:05 [INFO] [TRAIN] epoch=57, iter=37070/40000, loss=0.1006, lr=0.000952, batch_cost=0.6911, reader_cost=0.0001 | ETA 00:33:44 2020-12-17 08:27:12 [INFO] [TRAIN] epoch=57, iter=37080/40000, loss=0.0950, lr=0.000949, batch_cost=0.6940, reader_cost=0.0001 | ETA 00:33:46 2020-12-17 08:27:19 [INFO] [TRAIN] epoch=57, iter=37090/40000, loss=0.0797, lr=0.000946, batch_cost=0.6924, reader_cost=0.0001 | ETA 00:33:34 2020-12-17 08:27:26 [INFO] [TRAIN] epoch=57, iter=37100/40000, loss=0.1271, lr=0.000943, batch_cost=0.7206, reader_cost=0.0001 | ETA 00:34:49 2020-12-17 08:27:34 [INFO] [TRAIN] epoch=57, iter=37110/40000, loss=0.0915, lr=0.000940, batch_cost=0.7268, reader_cost=0.0001 | ETA 00:35:00 2020-12-17 08:27:41 [INFO] [TRAIN] epoch=57, iter=37120/40000, loss=0.1066, lr=0.000937, batch_cost=0.7246, reader_cost=0.0001 | ETA 00:34:46 2020-12-17 08:27:48 [INFO] [TRAIN] epoch=57, iter=37130/40000, loss=0.0810, lr=0.000934, batch_cost=0.7026, reader_cost=0.0001 | ETA 00:33:36 2020-12-17 08:27:55 [INFO] [TRAIN] epoch=57, iter=37140/40000, loss=0.0947, lr=0.000931, batch_cost=0.7099, reader_cost=0.0001 | ETA 00:33:50 2020-12-17 08:28:02 [INFO] [TRAIN] epoch=57, iter=37150/40000, loss=0.1077, lr=0.000928, batch_cost=0.7063, reader_cost=0.0001 | ETA 00:33:32 2020-12-17 08:28:09 [INFO] [TRAIN] epoch=57, iter=37160/40000, loss=0.0937, lr=0.000925, batch_cost=0.6932, reader_cost=0.0001 | ETA 00:32:48 2020-12-17 08:28:16 [INFO] [TRAIN] epoch=57, iter=37170/40000, loss=0.0948, lr=0.000922, batch_cost=0.7007, reader_cost=0.0001 | ETA 00:33:03 2020-12-17 08:28:23 [INFO] [TRAIN] epoch=57, iter=37180/40000, loss=0.1238, lr=0.000919, batch_cost=0.7064, reader_cost=0.0001 | ETA 00:33:12 2020-12-17 08:28:30 [INFO] [TRAIN] epoch=57, iter=37190/40000, loss=0.1090, lr=0.000916, batch_cost=0.7117, reader_cost=0.0001 | ETA 00:33:19 2020-12-17 08:28:38 [INFO] [TRAIN] epoch=57, iter=37200/40000, loss=0.1080, lr=0.000914, batch_cost=0.7289, reader_cost=0.0001 | ETA 00:34:00 2020-12-17 08:28:45 [INFO] [TRAIN] epoch=57, iter=37210/40000, loss=0.1066, lr=0.000911, batch_cost=0.7277, reader_cost=0.0001 | ETA 00:33:50 2020-12-17 08:28:52 [INFO] [TRAIN] epoch=57, iter=37220/40000, loss=0.1134, lr=0.000908, batch_cost=0.7172, reader_cost=0.0001 | ETA 00:33:13 2020-12-17 08:28:59 [INFO] [TRAIN] epoch=57, iter=37230/40000, loss=0.0825, lr=0.000905, batch_cost=0.7006, reader_cost=0.0001 | ETA 00:32:20 2020-12-17 08:29:06 [INFO] [TRAIN] epoch=57, iter=37240/40000, loss=0.1305, lr=0.000902, batch_cost=0.6950, reader_cost=0.0001 | ETA 00:31:58 2020-12-17 08:29:13 [INFO] [TRAIN] epoch=57, iter=37250/40000, loss=0.1057, lr=0.000899, batch_cost=0.7021, reader_cost=0.0001 | ETA 00:32:10 2020-12-17 08:29:22 [INFO] [TRAIN] epoch=57, iter=37260/40000, loss=0.1100, lr=0.000896, batch_cost=0.9085, reader_cost=0.0001 | ETA 00:41:29 2020-12-17 08:29:29 [INFO] [TRAIN] epoch=57, iter=37270/40000, loss=0.0916, lr=0.000893, batch_cost=0.7045, reader_cost=0.0001 | ETA 00:32:03 2020-12-17 08:29:37 [INFO] [TRAIN] epoch=57, iter=37280/40000, loss=0.1129, lr=0.000890, batch_cost=0.7494, reader_cost=0.0001 | ETA 00:33:58 2020-12-17 08:29:45 [INFO] [TRAIN] epoch=57, iter=37290/40000, loss=0.1593, lr=0.000887, batch_cost=0.7885, reader_cost=0.0020 | ETA 00:35:36 2020-12-17 08:29:52 [INFO] [TRAIN] epoch=57, iter=37300/40000, loss=0.1641, lr=0.000884, batch_cost=0.6984, reader_cost=0.0001 | ETA 00:31:25 2020-12-17 08:29:59 [INFO] [TRAIN] epoch=57, iter=37310/40000, loss=0.1436, lr=0.000881, batch_cost=0.7386, reader_cost=0.0001 | ETA 00:33:06 2020-12-17 08:30:07 [INFO] [TRAIN] epoch=57, iter=37320/40000, loss=0.1175, lr=0.000878, batch_cost=0.7887, reader_cost=0.0001 | ETA 00:35:13 2020-12-17 08:30:18 [INFO] [TRAIN] epoch=57, iter=37330/40000, loss=0.1136, lr=0.000875, batch_cost=1.1282, reader_cost=0.0001 | ETA 00:50:12 2020-12-17 08:30:28 [INFO] [TRAIN] epoch=57, iter=37340/40000, loss=0.1117, lr=0.000872, batch_cost=0.9449, reader_cost=0.0001 | ETA 00:41:53 2020-12-17 08:30:35 [INFO] [TRAIN] epoch=57, iter=37350/40000, loss=0.1356, lr=0.000869, batch_cost=0.7456, reader_cost=0.0001 | ETA 00:32:55 2020-12-17 08:30:51 [INFO] [TRAIN] epoch=57, iter=37360/40000, loss=0.1026, lr=0.000866, batch_cost=1.5755, reader_cost=0.0001 | ETA 01:09:19 2020-12-17 08:31:08 [INFO] [TRAIN] epoch=57, iter=37370/40000, loss=0.1108, lr=0.000863, batch_cost=1.7181, reader_cost=0.0014 | ETA 01:15:18 2020-12-17 08:31:23 [INFO] [TRAIN] epoch=57, iter=37380/40000, loss=0.1059, lr=0.000861, batch_cost=1.5263, reader_cost=0.0009 | ETA 01:06:38 2020-12-17 08:31:33 [INFO] [TRAIN] epoch=57, iter=37390/40000, loss=0.1080, lr=0.000858, batch_cost=1.0017, reader_cost=0.0001 | ETA 00:43:34 2020-12-17 08:31:40 [INFO] [TRAIN] epoch=57, iter=37400/40000, loss=0.1180, lr=0.000855, batch_cost=0.6988, reader_cost=0.0001 | ETA 00:30:16 2020-12-17 08:31:47 [INFO] [TRAIN] epoch=57, iter=37410/40000, loss=0.0967, lr=0.000852, batch_cost=0.6971, reader_cost=0.0001 | ETA 00:30:05 2020-12-17 08:31:55 [INFO] [TRAIN] epoch=57, iter=37420/40000, loss=0.1479, lr=0.000849, batch_cost=0.7366, reader_cost=0.0001 | ETA 00:31:40 2020-12-17 08:32:01 [INFO] [TRAIN] epoch=57, iter=37430/40000, loss=0.1078, lr=0.000846, batch_cost=0.6961, reader_cost=0.0001 | ETA 00:29:49 2020-12-17 08:32:09 [INFO] [TRAIN] epoch=57, iter=37440/40000, loss=0.1147, lr=0.000843, batch_cost=0.7077, reader_cost=0.0001 | ETA 00:30:11 2020-12-17 08:32:16 [INFO] [TRAIN] epoch=57, iter=37450/40000, loss=0.1238, lr=0.000840, batch_cost=0.7153, reader_cost=0.0001 | ETA 00:30:24 2020-12-17 08:32:23 [INFO] [TRAIN] epoch=57, iter=37460/40000, loss=0.1402, lr=0.000837, batch_cost=0.7238, reader_cost=0.0001 | ETA 00:30:38 2020-12-17 08:32:30 [INFO] [TRAIN] epoch=57, iter=37470/40000, loss=0.1153, lr=0.000834, batch_cost=0.7022, reader_cost=0.0001 | ETA 00:29:36 2020-12-17 08:32:37 [INFO] [TRAIN] epoch=57, iter=37480/40000, loss=0.1459, lr=0.000831, batch_cost=0.7123, reader_cost=0.0001 | ETA 00:29:54 2020-12-17 08:32:44 [INFO] [TRAIN] epoch=57, iter=37490/40000, loss=0.1025, lr=0.000828, batch_cost=0.7069, reader_cost=0.0001 | ETA 00:29:34 2020-12-17 08:32:51 [INFO] [TRAIN] epoch=57, iter=37500/40000, loss=0.1029, lr=0.000825, batch_cost=0.7101, reader_cost=0.0001 | ETA 00:29:35 2020-12-17 08:32:58 [INFO] [TRAIN] epoch=57, iter=37510/40000, loss=0.0692, lr=0.000822, batch_cost=0.7032, reader_cost=0.0001 | ETA 00:29:10 2020-12-17 08:33:06 [INFO] [TRAIN] epoch=57, iter=37520/40000, loss=0.1391, lr=0.000819, batch_cost=0.7372, reader_cost=0.0001 | ETA 00:30:28 2020-12-17 08:33:13 [INFO] [TRAIN] epoch=57, iter=37530/40000, loss=0.0974, lr=0.000816, batch_cost=0.6910, reader_cost=0.0001 | ETA 00:28:26 2020-12-17 08:33:20 [INFO] [TRAIN] epoch=57, iter=37540/40000, loss=0.1039, lr=0.000813, batch_cost=0.7626, reader_cost=0.0001 | ETA 00:31:16 2020-12-17 08:33:27 [INFO] [TRAIN] epoch=57, iter=37550/40000, loss=0.0969, lr=0.000810, batch_cost=0.7211, reader_cost=0.0001 | ETA 00:29:26 2020-12-17 08:33:35 [INFO] [TRAIN] epoch=57, iter=37560/40000, loss=0.1286, lr=0.000807, batch_cost=0.8039, reader_cost=0.0001 | ETA 00:32:41 2020-12-17 08:33:43 [INFO] [TRAIN] epoch=57, iter=37570/40000, loss=0.0930, lr=0.000804, batch_cost=0.7172, reader_cost=0.0001 | ETA 00:29:02 2020-12-17 08:33:50 [INFO] [TRAIN] epoch=57, iter=37580/40000, loss=0.1136, lr=0.000801, batch_cost=0.6989, reader_cost=0.0001 | ETA 00:28:11 2020-12-17 08:33:57 [INFO] [TRAIN] epoch=57, iter=37590/40000, loss=0.1448, lr=0.000798, batch_cost=0.7432, reader_cost=0.0001 | ETA 00:29:51 2020-12-17 08:34:05 [INFO] [TRAIN] epoch=57, iter=37600/40000, loss=0.0872, lr=0.000795, batch_cost=0.7438, reader_cost=0.0001 | ETA 00:29:45 2020-12-17 08:34:12 [INFO] [TRAIN] epoch=57, iter=37610/40000, loss=0.1097, lr=0.000792, batch_cost=0.7065, reader_cost=0.0001 | ETA 00:28:08 2020-12-17 08:34:19 [INFO] [TRAIN] epoch=57, iter=37620/40000, loss=0.1165, lr=0.000789, batch_cost=0.7084, reader_cost=0.0001 | ETA 00:28:06 2020-12-17 08:34:26 [INFO] [TRAIN] epoch=57, iter=37630/40000, loss=0.1178, lr=0.000786, batch_cost=0.7078, reader_cost=0.0001 | ETA 00:27:57 2020-12-17 08:34:33 [INFO] [TRAIN] epoch=57, iter=37640/40000, loss=0.1046, lr=0.000783, batch_cost=0.6953, reader_cost=0.0001 | ETA 00:27:20 2020-12-17 08:34:40 [INFO] [TRAIN] epoch=57, iter=37650/40000, loss=0.1070, lr=0.000780, batch_cost=0.7097, reader_cost=0.0001 | ETA 00:27:47 2020-12-17 08:34:47 [INFO] [TRAIN] epoch=57, iter=37660/40000, loss=0.0776, lr=0.000777, batch_cost=0.7071, reader_cost=0.0001 | ETA 00:27:34 2020-12-17 08:34:54 [INFO] [TRAIN] epoch=57, iter=37670/40000, loss=0.1140, lr=0.000774, batch_cost=0.7038, reader_cost=0.0001 | ETA 00:27:19 2020-12-17 08:35:01 [INFO] [TRAIN] epoch=58, iter=37680/40000, loss=0.1474, lr=0.000771, batch_cost=0.7072, reader_cost=0.0173 | ETA 00:27:20 2020-12-17 08:35:09 [INFO] [TRAIN] epoch=58, iter=37690/40000, loss=0.0947, lr=0.000768, batch_cost=0.7774, reader_cost=0.0001 | ETA 00:29:55 2020-12-17 08:35:16 [INFO] [TRAIN] epoch=58, iter=37700/40000, loss=0.1125, lr=0.000765, batch_cost=0.7049, reader_cost=0.0001 | ETA 00:27:01 2020-12-17 08:35:25 [INFO] [TRAIN] epoch=58, iter=37710/40000, loss=0.0993, lr=0.000762, batch_cost=0.8860, reader_cost=0.0001 | ETA 00:33:49 2020-12-17 08:35:32 [INFO] [TRAIN] epoch=58, iter=37720/40000, loss=0.1258, lr=0.000759, batch_cost=0.6996, reader_cost=0.0001 | ETA 00:26:35 2020-12-17 08:35:39 [INFO] [TRAIN] epoch=58, iter=37730/40000, loss=0.0978, lr=0.000756, batch_cost=0.7379, reader_cost=0.0001 | ETA 00:27:55 2020-12-17 08:35:47 [INFO] [TRAIN] epoch=58, iter=37740/40000, loss=0.1197, lr=0.000753, batch_cost=0.8013, reader_cost=0.0014 | ETA 00:30:10 2020-12-17 08:35:54 [INFO] [TRAIN] epoch=58, iter=37750/40000, loss=0.0975, lr=0.000750, batch_cost=0.7046, reader_cost=0.0001 | ETA 00:26:25 2020-12-17 08:36:01 [INFO] [TRAIN] epoch=58, iter=37760/40000, loss=0.1300, lr=0.000747, batch_cost=0.7042, reader_cost=0.0001 | ETA 00:26:17 2020-12-17 08:36:11 [INFO] [TRAIN] epoch=58, iter=37770/40000, loss=0.1261, lr=0.000744, batch_cost=0.9747, reader_cost=0.0001 | ETA 00:36:13 2020-12-17 08:36:18 [INFO] [TRAIN] epoch=58, iter=37780/40000, loss=0.0967, lr=0.000741, batch_cost=0.7007, reader_cost=0.0001 | ETA 00:25:55 2020-12-17 08:36:25 [INFO] [TRAIN] epoch=58, iter=37790/40000, loss=0.1044, lr=0.000738, batch_cost=0.7078, reader_cost=0.0001 | ETA 00:26:04 2020-12-17 08:36:32 [INFO] [TRAIN] epoch=58, iter=37800/40000, loss=0.0969, lr=0.000735, batch_cost=0.7093, reader_cost=0.0001 | ETA 00:26:00 2020-12-17 08:36:39 [INFO] [TRAIN] epoch=58, iter=37810/40000, loss=0.0843, lr=0.000732, batch_cost=0.6915, reader_cost=0.0001 | ETA 00:25:14 2020-12-17 08:36:46 [INFO] [TRAIN] epoch=58, iter=37820/40000, loss=0.0765, lr=0.000729, batch_cost=0.7109, reader_cost=0.0001 | ETA 00:25:49 2020-12-17 08:36:53 [INFO] [TRAIN] epoch=58, iter=37830/40000, loss=0.0951, lr=0.000726, batch_cost=0.7402, reader_cost=0.0001 | ETA 00:26:46 2020-12-17 08:37:01 [INFO] [TRAIN] epoch=58, iter=37840/40000, loss=0.0942, lr=0.000723, batch_cost=0.7848, reader_cost=0.0010 | ETA 00:28:15 2020-12-17 08:37:12 [INFO] [TRAIN] epoch=58, iter=37850/40000, loss=0.1023, lr=0.000720, batch_cost=1.0242, reader_cost=0.0001 | ETA 00:36:41 2020-12-17 08:37:19 [INFO] [TRAIN] epoch=58, iter=37860/40000, loss=0.1102, lr=0.000717, batch_cost=0.7269, reader_cost=0.0001 | ETA 00:25:55 2020-12-17 08:37:26 [INFO] [TRAIN] epoch=58, iter=37870/40000, loss=0.0937, lr=0.000714, batch_cost=0.6993, reader_cost=0.0001 | ETA 00:24:49 2020-12-17 08:37:33 [INFO] [TRAIN] epoch=58, iter=37880/40000, loss=0.0925, lr=0.000711, batch_cost=0.7062, reader_cost=0.0001 | ETA 00:24:57 2020-12-17 08:37:40 [INFO] [TRAIN] epoch=58, iter=37890/40000, loss=0.1245, lr=0.000708, batch_cost=0.7040, reader_cost=0.0001 | ETA 00:24:45 2020-12-17 08:37:47 [INFO] [TRAIN] epoch=58, iter=37900/40000, loss=0.1180, lr=0.000705, batch_cost=0.7045, reader_cost=0.0001 | ETA 00:24:39 2020-12-17 08:37:54 [INFO] [TRAIN] epoch=58, iter=37910/40000, loss=0.1417, lr=0.000702, batch_cost=0.7009, reader_cost=0.0001 | ETA 00:24:24 2020-12-17 08:38:01 [INFO] [TRAIN] epoch=58, iter=37920/40000, loss=0.0938, lr=0.000699, batch_cost=0.7253, reader_cost=0.0001 | ETA 00:25:08 2020-12-17 08:38:08 [INFO] [TRAIN] epoch=58, iter=37930/40000, loss=0.1195, lr=0.000696, batch_cost=0.7177, reader_cost=0.0001 | ETA 00:24:45 2020-12-17 08:38:15 [INFO] [TRAIN] epoch=58, iter=37940/40000, loss=0.1131, lr=0.000693, batch_cost=0.7046, reader_cost=0.0001 | ETA 00:24:11 2020-12-17 08:38:22 [INFO] [TRAIN] epoch=58, iter=37950/40000, loss=0.1005, lr=0.000690, batch_cost=0.6996, reader_cost=0.0001 | ETA 00:23:54 2020-12-17 08:38:30 [INFO] [TRAIN] epoch=58, iter=37960/40000, loss=0.1200, lr=0.000687, batch_cost=0.7053, reader_cost=0.0001 | ETA 00:23:58 2020-12-17 08:38:38 [INFO] [TRAIN] epoch=58, iter=37970/40000, loss=0.0954, lr=0.000684, batch_cost=0.8782, reader_cost=0.0001 | ETA 00:29:42 2020-12-17 08:38:46 [INFO] [TRAIN] epoch=58, iter=37980/40000, loss=0.1241, lr=0.000681, batch_cost=0.7386, reader_cost=0.0001 | ETA 00:24:52 2020-12-17 08:38:53 [INFO] [TRAIN] epoch=58, iter=37990/40000, loss=0.1107, lr=0.000678, batch_cost=0.7566, reader_cost=0.0001 | ETA 00:25:20 2020-12-17 08:39:01 [INFO] [TRAIN] epoch=58, iter=38000/40000, loss=0.1229, lr=0.000675, batch_cost=0.7847, reader_cost=0.0001 | ETA 00:26:09 2020-12-17 08:39:01 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 08:39:30 [INFO] [EVAL] #Images=1449 mIoU=0.7973 Acc=0.9554 Kappa=0.9005 2020-12-17 08:39:30 [INFO] [EVAL] Class IoU: [0.9485 0.9219 0.428 0.9087 0.6543 0.8005 0.9546 0.8863 0.9202 0.5102 0.934 0.5367 0.8753 0.8992 0.8805 0.8834 0.6151 0.9108 0.5876 0.9018 0.786 ] 2020-12-17 08:39:30 [INFO] [EVAL] Class Acc: [0.9655 0.9511 0.4424 0.9519 0.7845 0.924 0.9828 0.943 0.9532 0.7135 0.9781 0.9411 0.9341 0.9625 0.9558 0.963 0.8386 0.9646 0.862 0.9611 0.9726] 2020-12-17 08:39:40 [INFO] [EVAL] The model with the best validation mIoU (0.7973) was saved at iter 38000. 2020-12-17 08:39:47 [INFO] [TRAIN] epoch=58, iter=38010/40000, loss=0.1145, lr=0.000672, batch_cost=0.7127, reader_cost=0.0001 | ETA 00:23:38 2020-12-17 08:39:54 [INFO] [TRAIN] epoch=58, iter=38020/40000, loss=0.0757, lr=0.000669, batch_cost=0.6915, reader_cost=0.0001 | ETA 00:22:49 2020-12-17 08:40:01 [INFO] [TRAIN] epoch=58, iter=38030/40000, loss=0.1300, lr=0.000666, batch_cost=0.6869, reader_cost=0.0001 | ETA 00:22:33 2020-12-17 08:40:08 [INFO] [TRAIN] epoch=58, iter=38040/40000, loss=0.1029, lr=0.000663, batch_cost=0.7008, reader_cost=0.0001 | ETA 00:22:53 2020-12-17 08:40:15 [INFO] [TRAIN] epoch=58, iter=38050/40000, loss=0.0917, lr=0.000660, batch_cost=0.7073, reader_cost=0.0001 | ETA 00:22:59 2020-12-17 08:40:23 [INFO] [TRAIN] epoch=58, iter=38060/40000, loss=0.0783, lr=0.000657, batch_cost=0.7862, reader_cost=0.0001 | ETA 00:25:25 2020-12-17 08:40:31 [INFO] [TRAIN] epoch=58, iter=38070/40000, loss=0.0911, lr=0.000654, batch_cost=0.8368, reader_cost=0.0001 | ETA 00:26:55 2020-12-17 08:40:42 [INFO] [TRAIN] epoch=58, iter=38080/40000, loss=0.0798, lr=0.000651, batch_cost=1.0246, reader_cost=0.0013 | ETA 00:32:47 2020-12-17 08:40:49 [INFO] [TRAIN] epoch=58, iter=38090/40000, loss=0.1124, lr=0.000648, batch_cost=0.7673, reader_cost=0.0001 | ETA 00:24:25 2020-12-17 08:40:56 [INFO] [TRAIN] epoch=58, iter=38100/40000, loss=0.1324, lr=0.000645, batch_cost=0.6987, reader_cost=0.0001 | ETA 00:22:07 2020-12-17 08:41:03 [INFO] [TRAIN] epoch=58, iter=38110/40000, loss=0.1050, lr=0.000641, batch_cost=0.6981, reader_cost=0.0001 | ETA 00:21:59 2020-12-17 08:41:10 [INFO] [TRAIN] epoch=58, iter=38120/40000, loss=0.0837, lr=0.000638, batch_cost=0.7014, reader_cost=0.0001 | ETA 00:21:58 2020-12-17 08:41:17 [INFO] [TRAIN] epoch=58, iter=38130/40000, loss=0.1129, lr=0.000635, batch_cost=0.7017, reader_cost=0.0001 | ETA 00:21:52 2020-12-17 08:41:26 [INFO] [TRAIN] epoch=58, iter=38140/40000, loss=0.1147, lr=0.000632, batch_cost=0.8649, reader_cost=0.0001 | ETA 00:26:48 2020-12-17 08:41:33 [INFO] [TRAIN] epoch=58, iter=38150/40000, loss=0.0850, lr=0.000629, batch_cost=0.7200, reader_cost=0.0001 | ETA 00:22:12 2020-12-17 08:41:40 [INFO] [TRAIN] epoch=58, iter=38160/40000, loss=0.1048, lr=0.000626, batch_cost=0.7097, reader_cost=0.0001 | ETA 00:21:45 2020-12-17 08:41:47 [INFO] [TRAIN] epoch=58, iter=38170/40000, loss=0.0801, lr=0.000623, batch_cost=0.7064, reader_cost=0.0001 | ETA 00:21:32 2020-12-17 08:41:55 [INFO] [TRAIN] epoch=58, iter=38180/40000, loss=0.1131, lr=0.000620, batch_cost=0.7493, reader_cost=0.0001 | ETA 00:22:43 2020-12-17 08:42:03 [INFO] [TRAIN] epoch=58, iter=38190/40000, loss=0.1029, lr=0.000617, batch_cost=0.8296, reader_cost=0.0001 | ETA 00:25:01 2020-12-17 08:42:10 [INFO] [TRAIN] epoch=58, iter=38200/40000, loss=0.1251, lr=0.000614, batch_cost=0.7217, reader_cost=0.0001 | ETA 00:21:38 2020-12-17 08:42:17 [INFO] [TRAIN] epoch=58, iter=38210/40000, loss=0.1050, lr=0.000611, batch_cost=0.7102, reader_cost=0.0001 | ETA 00:21:11 2020-12-17 08:42:25 [INFO] [TRAIN] epoch=58, iter=38220/40000, loss=0.1398, lr=0.000608, batch_cost=0.7102, reader_cost=0.0001 | ETA 00:21:04 2020-12-17 08:42:32 [INFO] [TRAIN] epoch=58, iter=38230/40000, loss=0.0824, lr=0.000605, batch_cost=0.7398, reader_cost=0.0001 | ETA 00:21:49 2020-12-17 08:42:39 [INFO] [TRAIN] epoch=58, iter=38240/40000, loss=0.0933, lr=0.000602, batch_cost=0.7062, reader_cost=0.0001 | ETA 00:20:42 2020-12-17 08:42:46 [INFO] [TRAIN] epoch=58, iter=38250/40000, loss=0.0766, lr=0.000599, batch_cost=0.7047, reader_cost=0.0001 | ETA 00:20:33 2020-12-17 08:42:53 [INFO] [TRAIN] epoch=58, iter=38260/40000, loss=0.1201, lr=0.000595, batch_cost=0.7336, reader_cost=0.0001 | ETA 00:21:16 2020-12-17 08:43:00 [INFO] [TRAIN] epoch=58, iter=38270/40000, loss=0.0745, lr=0.000592, batch_cost=0.6968, reader_cost=0.0001 | ETA 00:20:05 2020-12-17 08:43:07 [INFO] [TRAIN] epoch=58, iter=38280/40000, loss=0.0948, lr=0.000589, batch_cost=0.7132, reader_cost=0.0001 | ETA 00:20:26 2020-12-17 08:43:15 [INFO] [TRAIN] epoch=58, iter=38290/40000, loss=0.1085, lr=0.000586, batch_cost=0.7116, reader_cost=0.0001 | ETA 00:20:16 2020-12-17 08:43:23 [INFO] [TRAIN] epoch=58, iter=38300/40000, loss=0.1152, lr=0.000583, batch_cost=0.8097, reader_cost=0.0001 | ETA 00:22:56 2020-12-17 08:43:30 [INFO] [TRAIN] epoch=58, iter=38310/40000, loss=0.1062, lr=0.000580, batch_cost=0.7154, reader_cost=0.0001 | ETA 00:20:08 2020-12-17 08:43:37 [INFO] [TRAIN] epoch=58, iter=38320/40000, loss=0.1060, lr=0.000577, batch_cost=0.6923, reader_cost=0.0001 | ETA 00:19:23 2020-12-17 08:43:44 [INFO] [TRAIN] epoch=58, iter=38330/40000, loss=0.0999, lr=0.000574, batch_cost=0.7026, reader_cost=0.0001 | ETA 00:19:33 2020-12-17 08:43:51 [INFO] [TRAIN] epoch=59, iter=38340/40000, loss=0.1025, lr=0.000571, batch_cost=0.7564, reader_cost=0.0216 | ETA 00:20:55 2020-12-17 08:43:59 [INFO] [TRAIN] epoch=59, iter=38350/40000, loss=0.0889, lr=0.000568, batch_cost=0.7197, reader_cost=0.0001 | ETA 00:19:47 2020-12-17 08:44:06 [INFO] [TRAIN] epoch=59, iter=38360/40000, loss=0.0949, lr=0.000565, batch_cost=0.7068, reader_cost=0.0011 | ETA 00:19:19 2020-12-17 08:44:14 [INFO] [TRAIN] epoch=59, iter=38370/40000, loss=0.1317, lr=0.000562, batch_cost=0.8013, reader_cost=0.0001 | ETA 00:21:46 2020-12-17 08:44:27 [INFO] [TRAIN] epoch=59, iter=38380/40000, loss=0.1556, lr=0.000558, batch_cost=1.3259, reader_cost=0.0001 | ETA 00:35:47 2020-12-17 08:44:36 [INFO] [TRAIN] epoch=59, iter=38390/40000, loss=0.1319, lr=0.000555, batch_cost=0.9017, reader_cost=0.0015 | ETA 00:24:11 2020-12-17 08:44:44 [INFO] [TRAIN] epoch=59, iter=38400/40000, loss=0.1033, lr=0.000552, batch_cost=0.7803, reader_cost=0.0001 | ETA 00:20:48 2020-12-17 08:44:51 [INFO] [TRAIN] epoch=59, iter=38410/40000, loss=0.1044, lr=0.000549, batch_cost=0.7467, reader_cost=0.0001 | ETA 00:19:47 2020-12-17 08:44:59 [INFO] [TRAIN] epoch=59, iter=38420/40000, loss=0.0913, lr=0.000546, batch_cost=0.7703, reader_cost=0.0001 | ETA 00:20:17 2020-12-17 08:45:07 [INFO] [TRAIN] epoch=59, iter=38430/40000, loss=0.0882, lr=0.000543, batch_cost=0.7716, reader_cost=0.0001 | ETA 00:20:11 2020-12-17 08:45:14 [INFO] [TRAIN] epoch=59, iter=38440/40000, loss=0.1299, lr=0.000540, batch_cost=0.6954, reader_cost=0.0001 | ETA 00:18:04 2020-12-17 08:45:21 [INFO] [TRAIN] epoch=59, iter=38450/40000, loss=0.1417, lr=0.000537, batch_cost=0.7034, reader_cost=0.0001 | ETA 00:18:10 2020-12-17 08:45:28 [INFO] [TRAIN] epoch=59, iter=38460/40000, loss=0.1122, lr=0.000534, batch_cost=0.7006, reader_cost=0.0001 | ETA 00:17:58 2020-12-17 08:45:35 [INFO] [TRAIN] epoch=59, iter=38470/40000, loss=0.0804, lr=0.000530, batch_cost=0.6977, reader_cost=0.0001 | ETA 00:17:47 2020-12-17 08:45:45 [INFO] [TRAIN] epoch=59, iter=38480/40000, loss=0.0983, lr=0.000527, batch_cost=1.0835, reader_cost=0.0001 | ETA 00:27:26 2020-12-17 08:45:54 [INFO] [TRAIN] epoch=59, iter=38490/40000, loss=0.0867, lr=0.000524, batch_cost=0.8740, reader_cost=0.0010 | ETA 00:21:59 2020-12-17 08:46:05 [INFO] [TRAIN] epoch=59, iter=38500/40000, loss=0.1051, lr=0.000521, batch_cost=1.1273, reader_cost=0.0001 | ETA 00:28:10 2020-12-17 08:46:13 [INFO] [TRAIN] epoch=59, iter=38510/40000, loss=0.1056, lr=0.000518, batch_cost=0.7458, reader_cost=0.0001 | ETA 00:18:31 2020-12-17 08:46:20 [INFO] [TRAIN] epoch=59, iter=38520/40000, loss=0.1052, lr=0.000515, batch_cost=0.7151, reader_cost=0.0001 | ETA 00:17:38 2020-12-17 08:46:27 [INFO] [TRAIN] epoch=59, iter=38530/40000, loss=0.1041, lr=0.000512, batch_cost=0.6957, reader_cost=0.0001 | ETA 00:17:02 2020-12-17 08:46:34 [INFO] [TRAIN] epoch=59, iter=38540/40000, loss=0.0877, lr=0.000509, batch_cost=0.7005, reader_cost=0.0001 | ETA 00:17:02 2020-12-17 08:46:41 [INFO] [TRAIN] epoch=59, iter=38550/40000, loss=0.0900, lr=0.000505, batch_cost=0.6995, reader_cost=0.0001 | ETA 00:16:54 2020-12-17 08:46:48 [INFO] [TRAIN] epoch=59, iter=38560/40000, loss=0.1029, lr=0.000502, batch_cost=0.7094, reader_cost=0.0001 | ETA 00:17:01 2020-12-17 08:46:55 [INFO] [TRAIN] epoch=59, iter=38570/40000, loss=0.0876, lr=0.000499, batch_cost=0.7350, reader_cost=0.0001 | ETA 00:17:31 2020-12-17 08:47:02 [INFO] [TRAIN] epoch=59, iter=38580/40000, loss=0.0839, lr=0.000496, batch_cost=0.6968, reader_cost=0.0001 | ETA 00:16:29 2020-12-17 08:47:09 [INFO] [TRAIN] epoch=59, iter=38590/40000, loss=0.0885, lr=0.000493, batch_cost=0.7047, reader_cost=0.0001 | ETA 00:16:33 2020-12-17 08:47:16 [INFO] [TRAIN] epoch=59, iter=38600/40000, loss=0.0978, lr=0.000490, batch_cost=0.6989, reader_cost=0.0001 | ETA 00:16:18 2020-12-17 08:47:23 [INFO] [TRAIN] epoch=59, iter=38610/40000, loss=0.0806, lr=0.000487, batch_cost=0.6943, reader_cost=0.0001 | ETA 00:16:05 2020-12-17 08:47:30 [INFO] [TRAIN] epoch=59, iter=38620/40000, loss=0.0794, lr=0.000483, batch_cost=0.6999, reader_cost=0.0001 | ETA 00:16:05 2020-12-17 08:47:37 [INFO] [TRAIN] epoch=59, iter=38630/40000, loss=0.0784, lr=0.000480, batch_cost=0.6977, reader_cost=0.0001 | ETA 00:15:55 2020-12-17 08:47:45 [INFO] [TRAIN] epoch=59, iter=38640/40000, loss=0.0950, lr=0.000477, batch_cost=0.7387, reader_cost=0.0001 | ETA 00:16:44 2020-12-17 08:47:52 [INFO] [TRAIN] epoch=59, iter=38650/40000, loss=0.1158, lr=0.000474, batch_cost=0.6988, reader_cost=0.0001 | ETA 00:15:43 2020-12-17 08:48:00 [INFO] [TRAIN] epoch=59, iter=38660/40000, loss=0.0872, lr=0.000471, batch_cost=0.8121, reader_cost=0.0015 | ETA 00:18:08 2020-12-17 08:48:08 [INFO] [TRAIN] epoch=59, iter=38670/40000, loss=0.0922, lr=0.000468, batch_cost=0.8059, reader_cost=0.0009 | ETA 00:17:51 2020-12-17 08:48:15 [INFO] [TRAIN] epoch=59, iter=38680/40000, loss=0.0866, lr=0.000464, batch_cost=0.6931, reader_cost=0.0001 | ETA 00:15:14 2020-12-17 08:48:22 [INFO] [TRAIN] epoch=59, iter=38690/40000, loss=0.1191, lr=0.000461, batch_cost=0.7100, reader_cost=0.0001 | ETA 00:15:30 2020-12-17 08:48:29 [INFO] [TRAIN] epoch=59, iter=38700/40000, loss=0.0966, lr=0.000458, batch_cost=0.7113, reader_cost=0.0001 | ETA 00:15:24 2020-12-17 08:48:36 [INFO] [TRAIN] epoch=59, iter=38710/40000, loss=0.0988, lr=0.000455, batch_cost=0.6986, reader_cost=0.0001 | ETA 00:15:01 2020-12-17 08:48:43 [INFO] [TRAIN] epoch=59, iter=38720/40000, loss=0.1233, lr=0.000452, batch_cost=0.6966, reader_cost=0.0001 | ETA 00:14:51 2020-12-17 08:48:50 [INFO] [TRAIN] epoch=59, iter=38730/40000, loss=0.1582, lr=0.000449, batch_cost=0.7082, reader_cost=0.0001 | ETA 00:14:59 2020-12-17 08:48:57 [INFO] [TRAIN] epoch=59, iter=38740/40000, loss=0.0991, lr=0.000445, batch_cost=0.7007, reader_cost=0.0001 | ETA 00:14:42 2020-12-17 08:49:04 [INFO] [TRAIN] epoch=59, iter=38750/40000, loss=0.1212, lr=0.000442, batch_cost=0.7353, reader_cost=0.0001 | ETA 00:15:19 2020-12-17 08:49:12 [INFO] [TRAIN] epoch=59, iter=38760/40000, loss=0.1126, lr=0.000439, batch_cost=0.7088, reader_cost=0.0001 | ETA 00:14:38 2020-12-17 08:49:19 [INFO] [TRAIN] epoch=59, iter=38770/40000, loss=0.1041, lr=0.000436, batch_cost=0.7432, reader_cost=0.0001 | ETA 00:15:14 2020-12-17 08:49:27 [INFO] [TRAIN] epoch=59, iter=38780/40000, loss=0.1186, lr=0.000433, batch_cost=0.7519, reader_cost=0.0001 | ETA 00:15:17 2020-12-17 08:49:34 [INFO] [TRAIN] epoch=59, iter=38790/40000, loss=0.1106, lr=0.000430, batch_cost=0.7063, reader_cost=0.0001 | ETA 00:14:14 2020-12-17 08:49:41 [INFO] [TRAIN] epoch=59, iter=38800/40000, loss=0.1044, lr=0.000426, batch_cost=0.7003, reader_cost=0.0001 | ETA 00:14:00 2020-12-17 08:49:49 [INFO] [TRAIN] epoch=59, iter=38810/40000, loss=0.0895, lr=0.000423, batch_cost=0.8036, reader_cost=0.0011 | ETA 00:15:56 2020-12-17 08:49:56 [INFO] [TRAIN] epoch=59, iter=38820/40000, loss=0.1068, lr=0.000420, batch_cost=0.7485, reader_cost=0.0001 | ETA 00:14:43 2020-12-17 08:50:04 [INFO] [TRAIN] epoch=59, iter=38830/40000, loss=0.1358, lr=0.000417, batch_cost=0.8121, reader_cost=0.0019 | ETA 00:15:50 2020-12-17 08:50:13 [INFO] [TRAIN] epoch=59, iter=38840/40000, loss=0.0906, lr=0.000414, batch_cost=0.8476, reader_cost=0.0001 | ETA 00:16:23 2020-12-17 08:50:21 [INFO] [TRAIN] epoch=59, iter=38850/40000, loss=0.0701, lr=0.000410, batch_cost=0.8255, reader_cost=0.0001 | ETA 00:15:49 2020-12-17 08:50:28 [INFO] [TRAIN] epoch=59, iter=38860/40000, loss=0.0962, lr=0.000407, batch_cost=0.7186, reader_cost=0.0001 | ETA 00:13:39 2020-12-17 08:50:35 [INFO] [TRAIN] epoch=59, iter=38870/40000, loss=0.1072, lr=0.000404, batch_cost=0.7019, reader_cost=0.0001 | ETA 00:13:13 2020-12-17 08:50:42 [INFO] [TRAIN] epoch=59, iter=38880/40000, loss=0.0970, lr=0.000401, batch_cost=0.6954, reader_cost=0.0001 | ETA 00:12:58 2020-12-17 08:50:49 [INFO] [TRAIN] epoch=59, iter=38890/40000, loss=0.1250, lr=0.000397, batch_cost=0.6951, reader_cost=0.0001 | ETA 00:12:51 2020-12-17 08:50:56 [INFO] [TRAIN] epoch=59, iter=38900/40000, loss=0.0837, lr=0.000394, batch_cost=0.6969, reader_cost=0.0001 | ETA 00:12:46 2020-12-17 08:51:03 [INFO] [TRAIN] epoch=59, iter=38910/40000, loss=0.0917, lr=0.000391, batch_cost=0.7256, reader_cost=0.0001 | ETA 00:13:10 2020-12-17 08:51:12 [INFO] [TRAIN] epoch=59, iter=38920/40000, loss=0.0894, lr=0.000388, batch_cost=0.8427, reader_cost=0.0001 | ETA 00:15:10 2020-12-17 08:51:19 [INFO] [TRAIN] epoch=59, iter=38930/40000, loss=0.1032, lr=0.000385, batch_cost=0.7040, reader_cost=0.0001 | ETA 00:12:33 2020-12-17 08:51:26 [INFO] [TRAIN] epoch=59, iter=38940/40000, loss=0.0902, lr=0.000381, batch_cost=0.6955, reader_cost=0.0001 | ETA 00:12:17 2020-12-17 08:51:33 [INFO] [TRAIN] epoch=59, iter=38950/40000, loss=0.1127, lr=0.000378, batch_cost=0.7048, reader_cost=0.0001 | ETA 00:12:20 2020-12-17 08:51:40 [INFO] [TRAIN] epoch=59, iter=38960/40000, loss=0.0879, lr=0.000375, batch_cost=0.7004, reader_cost=0.0001 | ETA 00:12:08 2020-12-17 08:51:47 [INFO] [TRAIN] epoch=59, iter=38970/40000, loss=0.1322, lr=0.000372, batch_cost=0.6971, reader_cost=0.0001 | ETA 00:11:58 2020-12-17 08:51:54 [INFO] [TRAIN] epoch=59, iter=38980/40000, loss=0.0843, lr=0.000368, batch_cost=0.7244, reader_cost=0.0001 | ETA 00:12:18 2020-12-17 08:52:05 [INFO] [TRAIN] epoch=59, iter=38990/40000, loss=0.0917, lr=0.000365, batch_cost=1.0782, reader_cost=0.0001 | ETA 00:18:09 2020-12-17 08:52:12 [INFO] [TRAIN] epoch=60, iter=39000/40000, loss=0.1155, lr=0.000362, batch_cost=0.7094, reader_cost=0.0210 | ETA 00:11:49 2020-12-17 08:52:12 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 08:52:41 [INFO] [EVAL] #Images=1449 mIoU=0.7865 Acc=0.9534 Kappa=0.8957 2020-12-17 08:52:41 [INFO] [EVAL] Class IoU: [0.9461 0.9207 0.4211 0.9061 0.6734 0.6983 0.9567 0.8942 0.9213 0.4794 0.9292 0.5218 0.8834 0.8992 0.8628 0.8864 0.599 0.9157 0.5217 0.8936 0.7872] 2020-12-17 08:52:41 [INFO] [EVAL] Class Acc: [0.9627 0.9554 0.4376 0.9484 0.7901 0.9248 0.988 0.9611 0.9513 0.7383 0.9785 0.9363 0.9362 0.9624 0.9033 0.9613 0.8174 0.96 0.8714 0.9586 0.9592] 2020-12-17 08:52:48 [INFO] [EVAL] The model with the best validation mIoU (0.7973) was saved at iter 38000. 2020-12-17 08:52:55 [INFO] [TRAIN] epoch=60, iter=39010/40000, loss=0.1042, lr=0.000359, batch_cost=0.6870, reader_cost=0.0001 | ETA 00:11:20 2020-12-17 08:53:02 [INFO] [TRAIN] epoch=60, iter=39020/40000, loss=0.1320, lr=0.000355, batch_cost=0.7015, reader_cost=0.0001 | ETA 00:11:27 2020-12-17 08:53:09 [INFO] [TRAIN] epoch=60, iter=39030/40000, loss=0.1145, lr=0.000352, batch_cost=0.6936, reader_cost=0.0001 | ETA 00:11:12 2020-12-17 08:53:16 [INFO] [TRAIN] epoch=60, iter=39040/40000, loss=0.1217, lr=0.000349, batch_cost=0.7067, reader_cost=0.0001 | ETA 00:11:18 2020-12-17 08:53:23 [INFO] [TRAIN] epoch=60, iter=39050/40000, loss=0.1391, lr=0.000346, batch_cost=0.6934, reader_cost=0.0001 | ETA 00:10:58 2020-12-17 08:53:30 [INFO] [TRAIN] epoch=60, iter=39060/40000, loss=0.1195, lr=0.000342, batch_cost=0.6948, reader_cost=0.0001 | ETA 00:10:53 2020-12-17 08:53:37 [INFO] [TRAIN] epoch=60, iter=39070/40000, loss=0.1150, lr=0.000339, batch_cost=0.6899, reader_cost=0.0001 | ETA 00:10:41 2020-12-17 08:53:45 [INFO] [TRAIN] epoch=60, iter=39080/40000, loss=0.0765, lr=0.000336, batch_cost=0.7632, reader_cost=0.0001 | ETA 00:11:42 2020-12-17 08:53:52 [INFO] [TRAIN] epoch=60, iter=39090/40000, loss=0.0929, lr=0.000332, batch_cost=0.7415, reader_cost=0.0001 | ETA 00:11:14 2020-12-17 08:53:59 [INFO] [TRAIN] epoch=60, iter=39100/40000, loss=0.0870, lr=0.000329, batch_cost=0.7019, reader_cost=0.0001 | ETA 00:10:31 2020-12-17 08:54:06 [INFO] [TRAIN] epoch=60, iter=39110/40000, loss=0.1123, lr=0.000326, batch_cost=0.7266, reader_cost=0.0001 | ETA 00:10:46 2020-12-17 08:54:14 [INFO] [TRAIN] epoch=60, iter=39120/40000, loss=0.1062, lr=0.000323, batch_cost=0.7318, reader_cost=0.0001 | ETA 00:10:43 2020-12-17 08:54:21 [INFO] [TRAIN] epoch=60, iter=39130/40000, loss=0.1242, lr=0.000319, batch_cost=0.7108, reader_cost=0.0001 | ETA 00:10:18 2020-12-17 08:54:28 [INFO] [TRAIN] epoch=60, iter=39140/40000, loss=0.0943, lr=0.000316, batch_cost=0.7374, reader_cost=0.0001 | ETA 00:10:34 2020-12-17 08:54:35 [INFO] [TRAIN] epoch=60, iter=39150/40000, loss=0.0856, lr=0.000313, batch_cost=0.7046, reader_cost=0.0001 | ETA 00:09:58 2020-12-17 08:54:45 [INFO] [TRAIN] epoch=60, iter=39160/40000, loss=0.1083, lr=0.000309, batch_cost=1.0205, reader_cost=0.0001 | ETA 00:14:17 2020-12-17 08:54:53 [INFO] [TRAIN] epoch=60, iter=39170/40000, loss=0.1103, lr=0.000306, batch_cost=0.8080, reader_cost=0.0042 | ETA 00:11:10 2020-12-17 08:55:01 [INFO] [TRAIN] epoch=60, iter=39180/40000, loss=0.1233, lr=0.000303, batch_cost=0.7576, reader_cost=0.0013 | ETA 00:10:21 2020-12-17 08:55:13 [INFO] [TRAIN] epoch=60, iter=39190/40000, loss=0.0959, lr=0.000299, batch_cost=1.2312, reader_cost=0.0001 | ETA 00:16:37 2020-12-17 08:55:20 [INFO] [TRAIN] epoch=60, iter=39200/40000, loss=0.0778, lr=0.000296, batch_cost=0.6959, reader_cost=0.0001 | ETA 00:09:16 2020-12-17 08:55:27 [INFO] [TRAIN] epoch=60, iter=39210/40000, loss=0.1068, lr=0.000293, batch_cost=0.6936, reader_cost=0.0001 | ETA 00:09:07 2020-12-17 08:55:34 [INFO] [TRAIN] epoch=60, iter=39220/40000, loss=0.0819, lr=0.000289, batch_cost=0.7031, reader_cost=0.0001 | ETA 00:09:08 2020-12-17 08:55:41 [INFO] [TRAIN] epoch=60, iter=39230/40000, loss=0.0909, lr=0.000286, batch_cost=0.6992, reader_cost=0.0001 | ETA 00:08:58 2020-12-17 08:55:48 [INFO] [TRAIN] epoch=60, iter=39240/40000, loss=0.1138, lr=0.000283, batch_cost=0.7062, reader_cost=0.0004 | ETA 00:08:56 2020-12-17 08:55:56 [INFO] [TRAIN] epoch=60, iter=39250/40000, loss=0.0928, lr=0.000279, batch_cost=0.7261, reader_cost=0.0005 | ETA 00:09:04 2020-12-17 08:56:03 [INFO] [TRAIN] epoch=60, iter=39260/40000, loss=0.1054, lr=0.000276, batch_cost=0.7171, reader_cost=0.0010 | ETA 00:08:50 2020-12-17 08:56:10 [INFO] [TRAIN] epoch=60, iter=39270/40000, loss=0.0919, lr=0.000273, batch_cost=0.7226, reader_cost=0.0001 | ETA 00:08:47 2020-12-17 08:56:17 [INFO] [TRAIN] epoch=60, iter=39280/40000, loss=0.1063, lr=0.000269, batch_cost=0.7417, reader_cost=0.0001 | ETA 00:08:54 2020-12-17 08:56:25 [INFO] [TRAIN] epoch=60, iter=39290/40000, loss=0.0987, lr=0.000266, batch_cost=0.7691, reader_cost=0.0001 | ETA 00:09:06 2020-12-17 08:56:32 [INFO] [TRAIN] epoch=60, iter=39300/40000, loss=0.1007, lr=0.000263, batch_cost=0.7110, reader_cost=0.0001 | ETA 00:08:17 2020-12-17 08:56:39 [INFO] [TRAIN] epoch=60, iter=39310/40000, loss=0.0834, lr=0.000259, batch_cost=0.6946, reader_cost=0.0001 | ETA 00:07:59 2020-12-17 08:56:46 [INFO] [TRAIN] epoch=60, iter=39320/40000, loss=0.0974, lr=0.000256, batch_cost=0.7042, reader_cost=0.0001 | ETA 00:07:58 2020-12-17 08:56:53 [INFO] [TRAIN] epoch=60, iter=39330/40000, loss=0.0881, lr=0.000252, batch_cost=0.7081, reader_cost=0.0001 | ETA 00:07:54 2020-12-17 08:57:00 [INFO] [TRAIN] epoch=60, iter=39340/40000, loss=0.0935, lr=0.000249, batch_cost=0.7107, reader_cost=0.0001 | ETA 00:07:49 2020-12-17 08:57:08 [INFO] [TRAIN] epoch=60, iter=39350/40000, loss=0.1118, lr=0.000246, batch_cost=0.7134, reader_cost=0.0004 | ETA 00:07:43 2020-12-17 08:57:15 [INFO] [TRAIN] epoch=60, iter=39360/40000, loss=0.0937, lr=0.000242, batch_cost=0.7782, reader_cost=0.0001 | ETA 00:08:18 2020-12-17 08:57:23 [INFO] [TRAIN] epoch=60, iter=39370/40000, loss=0.0986, lr=0.000239, batch_cost=0.7734, reader_cost=0.0024 | ETA 00:08:07 2020-12-17 08:57:30 [INFO] [TRAIN] epoch=60, iter=39380/40000, loss=0.0793, lr=0.000235, batch_cost=0.7036, reader_cost=0.0001 | ETA 00:07:16 2020-12-17 08:57:37 [INFO] [TRAIN] epoch=60, iter=39390/40000, loss=0.1094, lr=0.000232, batch_cost=0.6985, reader_cost=0.0001 | ETA 00:07:06 2020-12-17 08:57:44 [INFO] [TRAIN] epoch=60, iter=39400/40000, loss=0.1193, lr=0.000229, batch_cost=0.6970, reader_cost=0.0001 | ETA 00:06:58 2020-12-17 08:57:51 [INFO] [TRAIN] epoch=60, iter=39410/40000, loss=0.0795, lr=0.000225, batch_cost=0.7010, reader_cost=0.0001 | ETA 00:06:53 2020-12-17 08:57:58 [INFO] [TRAIN] epoch=60, iter=39420/40000, loss=0.1005, lr=0.000222, batch_cost=0.7003, reader_cost=0.0001 | ETA 00:06:46 2020-12-17 08:58:05 [INFO] [TRAIN] epoch=60, iter=39430/40000, loss=0.1047, lr=0.000218, batch_cost=0.7014, reader_cost=0.0001 | ETA 00:06:39 2020-12-17 08:58:12 [INFO] [TRAIN] epoch=60, iter=39440/40000, loss=0.0813, lr=0.000215, batch_cost=0.6936, reader_cost=0.0001 | ETA 00:06:28 2020-12-17 08:58:19 [INFO] [TRAIN] epoch=60, iter=39450/40000, loss=0.0848, lr=0.000211, batch_cost=0.7007, reader_cost=0.0001 | ETA 00:06:25 2020-12-17 08:58:26 [INFO] [TRAIN] epoch=60, iter=39460/40000, loss=0.1035, lr=0.000208, batch_cost=0.6982, reader_cost=0.0001 | ETA 00:06:17 2020-12-17 08:58:33 [INFO] [TRAIN] epoch=60, iter=39470/40000, loss=0.0954, lr=0.000205, batch_cost=0.6983, reader_cost=0.0001 | ETA 00:06:10 2020-12-17 08:58:40 [INFO] [TRAIN] epoch=60, iter=39480/40000, loss=0.0891, lr=0.000201, batch_cost=0.7153, reader_cost=0.0001 | ETA 00:06:11 2020-12-17 08:58:47 [INFO] [TRAIN] epoch=60, iter=39490/40000, loss=0.0900, lr=0.000198, batch_cost=0.7084, reader_cost=0.0001 | ETA 00:06:01 2020-12-17 08:58:54 [INFO] [TRAIN] epoch=60, iter=39500/40000, loss=0.0984, lr=0.000194, batch_cost=0.7077, reader_cost=0.0001 | ETA 00:05:53 2020-12-17 08:59:01 [INFO] [TRAIN] epoch=60, iter=39510/40000, loss=0.1004, lr=0.000191, batch_cost=0.6944, reader_cost=0.0001 | ETA 00:05:40 2020-12-17 08:59:08 [INFO] [TRAIN] epoch=60, iter=39520/40000, loss=0.0795, lr=0.000187, batch_cost=0.6975, reader_cost=0.0001 | ETA 00:05:34 2020-12-17 08:59:15 [INFO] [TRAIN] epoch=60, iter=39530/40000, loss=0.0991, lr=0.000184, batch_cost=0.7124, reader_cost=0.0001 | ETA 00:05:34 2020-12-17 08:59:23 [INFO] [TRAIN] epoch=60, iter=39540/40000, loss=0.0841, lr=0.000180, batch_cost=0.7305, reader_cost=0.0001 | ETA 00:05:36 2020-12-17 08:59:30 [INFO] [TRAIN] epoch=60, iter=39550/40000, loss=0.0751, lr=0.000177, batch_cost=0.7291, reader_cost=0.0001 | ETA 00:05:28 2020-12-17 08:59:37 [INFO] [TRAIN] epoch=60, iter=39560/40000, loss=0.0795, lr=0.000173, batch_cost=0.7295, reader_cost=0.0001 | ETA 00:05:20 2020-12-17 08:59:50 [INFO] [TRAIN] epoch=60, iter=39570/40000, loss=0.0943, lr=0.000170, batch_cost=1.3239, reader_cost=0.0001 | ETA 00:09:29 2020-12-17 08:59:58 [INFO] [TRAIN] epoch=60, iter=39580/40000, loss=0.1117, lr=0.000166, batch_cost=0.7075, reader_cost=0.0001 | ETA 00:04:57 2020-12-17 09:00:05 [INFO] [TRAIN] epoch=60, iter=39590/40000, loss=0.1390, lr=0.000162, batch_cost=0.7160, reader_cost=0.0001 | ETA 00:04:53 2020-12-17 09:00:12 [INFO] [TRAIN] epoch=60, iter=39600/40000, loss=0.1010, lr=0.000159, batch_cost=0.6957, reader_cost=0.0001 | ETA 00:04:38 2020-12-17 09:00:19 [INFO] [TRAIN] epoch=60, iter=39610/40000, loss=0.0976, lr=0.000155, batch_cost=0.6903, reader_cost=0.0001 | ETA 00:04:29 2020-12-17 09:00:26 [INFO] [TRAIN] epoch=60, iter=39620/40000, loss=0.1020, lr=0.000152, batch_cost=0.6968, reader_cost=0.0001 | ETA 00:04:24 2020-12-17 09:00:32 [INFO] [TRAIN] epoch=60, iter=39630/40000, loss=0.0804, lr=0.000148, batch_cost=0.6950, reader_cost=0.0001 | ETA 00:04:17 2020-12-17 09:00:39 [INFO] [TRAIN] epoch=60, iter=39640/40000, loss=0.0955, lr=0.000145, batch_cost=0.6983, reader_cost=0.0001 | ETA 00:04:11 2020-12-17 09:00:46 [INFO] [TRAIN] epoch=60, iter=39650/40000, loss=0.1023, lr=0.000141, batch_cost=0.7010, reader_cost=0.0001 | ETA 00:04:05 2020-12-17 09:00:53 [INFO] [TRAIN] epoch=60, iter=39660/40000, loss=0.1043, lr=0.000137, batch_cost=0.6668, reader_cost=0.0001 | ETA 00:03:46 2020-12-17 09:01:01 [INFO] [TRAIN] epoch=61, iter=39670/40000, loss=0.0848, lr=0.000134, batch_cost=0.7398, reader_cost=0.0203 | ETA 00:04:04 2020-12-17 09:01:07 [INFO] [TRAIN] epoch=61, iter=39680/40000, loss=0.1044, lr=0.000130, batch_cost=0.6955, reader_cost=0.0001 | ETA 00:03:42 2020-12-17 09:01:15 [INFO] [TRAIN] epoch=61, iter=39690/40000, loss=0.1121, lr=0.000126, batch_cost=0.7148, reader_cost=0.0001 | ETA 00:03:41 2020-12-17 09:01:22 [INFO] [TRAIN] epoch=61, iter=39700/40000, loss=0.0716, lr=0.000123, batch_cost=0.7047, reader_cost=0.0001 | ETA 00:03:31 2020-12-17 09:01:29 [INFO] [TRAIN] epoch=61, iter=39710/40000, loss=0.0745, lr=0.000119, batch_cost=0.6997, reader_cost=0.0001 | ETA 00:03:22 2020-12-17 09:01:36 [INFO] [TRAIN] epoch=61, iter=39720/40000, loss=0.0756, lr=0.000115, batch_cost=0.6978, reader_cost=0.0001 | ETA 00:03:15 2020-12-17 09:01:43 [INFO] [TRAIN] epoch=61, iter=39730/40000, loss=0.0896, lr=0.000112, batch_cost=0.7022, reader_cost=0.0001 | ETA 00:03:09 2020-12-17 09:01:50 [INFO] [TRAIN] epoch=61, iter=39740/40000, loss=0.0852, lr=0.000108, batch_cost=0.7094, reader_cost=0.0001 | ETA 00:03:04 2020-12-17 09:01:57 [INFO] [TRAIN] epoch=61, iter=39750/40000, loss=0.1078, lr=0.000104, batch_cost=0.6989, reader_cost=0.0001 | ETA 00:02:54 2020-12-17 09:02:04 [INFO] [TRAIN] epoch=61, iter=39760/40000, loss=0.0838, lr=0.000100, batch_cost=0.6984, reader_cost=0.0005 | ETA 00:02:47 2020-12-17 09:02:11 [INFO] [TRAIN] epoch=61, iter=39770/40000, loss=0.1047, lr=0.000097, batch_cost=0.6951, reader_cost=0.0001 | ETA 00:02:39 2020-12-17 09:02:18 [INFO] [TRAIN] epoch=61, iter=39780/40000, loss=0.0865, lr=0.000093, batch_cost=0.7126, reader_cost=0.0001 | ETA 00:02:36 2020-12-17 09:02:25 [INFO] [TRAIN] epoch=61, iter=39790/40000, loss=0.0908, lr=0.000089, batch_cost=0.7114, reader_cost=0.0001 | ETA 00:02:29 2020-12-17 09:02:34 [INFO] [TRAIN] epoch=61, iter=39800/40000, loss=0.1178, lr=0.000085, batch_cost=0.9038, reader_cost=0.0001 | ETA 00:03:00 2020-12-17 09:02:42 [INFO] [TRAIN] epoch=61, iter=39810/40000, loss=0.0883, lr=0.000081, batch_cost=0.8389, reader_cost=0.0001 | ETA 00:02:39 2020-12-17 09:02:49 [INFO] [TRAIN] epoch=61, iter=39820/40000, loss=0.0913, lr=0.000078, batch_cost=0.7090, reader_cost=0.0001 | ETA 00:02:07 2020-12-17 09:03:00 [INFO] [TRAIN] epoch=61, iter=39830/40000, loss=0.0886, lr=0.000074, batch_cost=1.0341, reader_cost=0.0001 | ETA 00:02:55 2020-12-17 09:03:10 [INFO] [TRAIN] epoch=61, iter=39840/40000, loss=0.1005, lr=0.000070, batch_cost=1.0658, reader_cost=0.0001 | ETA 00:02:50 2020-12-17 09:03:18 [INFO] [TRAIN] epoch=61, iter=39850/40000, loss=0.0882, lr=0.000066, batch_cost=0.7052, reader_cost=0.0001 | ETA 00:01:45 2020-12-17 09:03:25 [INFO] [TRAIN] epoch=61, iter=39860/40000, loss=0.0863, lr=0.000062, batch_cost=0.7269, reader_cost=0.0001 | ETA 00:01:41 2020-12-17 09:03:32 [INFO] [TRAIN] epoch=61, iter=39870/40000, loss=0.1068, lr=0.000058, batch_cost=0.7070, reader_cost=0.0001 | ETA 00:01:31 2020-12-17 09:03:46 [INFO] [TRAIN] epoch=61, iter=39880/40000, loss=0.1306, lr=0.000054, batch_cost=1.4334, reader_cost=0.0001 | ETA 00:02:52 2020-12-17 09:04:00 [INFO] [TRAIN] epoch=61, iter=39890/40000, loss=0.0929, lr=0.000050, batch_cost=1.3317, reader_cost=0.0001 | ETA 00:02:26 2020-12-17 09:04:07 [INFO] [TRAIN] epoch=61, iter=39900/40000, loss=0.0729, lr=0.000046, batch_cost=0.6995, reader_cost=0.0001 | ETA 00:01:09 2020-12-17 09:04:14 [INFO] [TRAIN] epoch=61, iter=39910/40000, loss=0.1073, lr=0.000042, batch_cost=0.7074, reader_cost=0.0001 | ETA 00:01:03 2020-12-17 09:04:26 [INFO] [TRAIN] epoch=61, iter=39920/40000, loss=0.1284, lr=0.000038, batch_cost=1.2337, reader_cost=0.0001 | ETA 00:01:38 2020-12-17 09:04:33 [INFO] [TRAIN] epoch=61, iter=39930/40000, loss=0.0823, lr=0.000033, batch_cost=0.7221, reader_cost=0.0001 | ETA 00:00:50 2020-12-17 09:04:41 [INFO] [TRAIN] epoch=61, iter=39940/40000, loss=0.1040, lr=0.000029, batch_cost=0.7493, reader_cost=0.0001 | ETA 00:00:44 2020-12-17 09:04:48 [INFO] [TRAIN] epoch=61, iter=39950/40000, loss=0.1460, lr=0.000025, batch_cost=0.6999, reader_cost=0.0001 | ETA 00:00:34 2020-12-17 09:04:55 [INFO] [TRAIN] epoch=61, iter=39960/40000, loss=0.1174, lr=0.000020, batch_cost=0.7267, reader_cost=0.0001 | ETA 00:00:29 2020-12-17 09:05:02 [INFO] [TRAIN] epoch=61, iter=39970/40000, loss=0.0862, lr=0.000016, batch_cost=0.6929, reader_cost=0.0001 | ETA 00:00:20 2020-12-17 09:05:10 [INFO] [TRAIN] epoch=61, iter=39980/40000, loss=0.0902, lr=0.000011, batch_cost=0.8149, reader_cost=0.0001 | ETA 00:00:16 2020-12-17 09:05:17 [INFO] [TRAIN] epoch=61, iter=39990/40000, loss=0.0849, lr=0.000006, batch_cost=0.7288, reader_cost=0.0001 | ETA 00:00:07 2020-12-17 09:05:28 [INFO] [TRAIN] epoch=61, iter=40000/40000, loss=0.1020, lr=0.000001, batch_cost=1.0535, reader_cost=0.0001 | ETA 00:00:00 2020-12-17 09:05:28 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 09:05:58 [INFO] [EVAL] #Images=1449 mIoU=0.7831 Acc=0.9531 Kappa=0.8947 2020-12-17 09:05:58 [INFO] [EVAL] Class IoU: [0.9465 0.9232 0.4272 0.9083 0.6765 0.6761 0.9098 0.8944 0.9226 0.4583 0.9181 0.5395 0.8852 0.9008 0.8597 0.8871 0.5895 0.9152 0.5462 0.8705 0.7897] 2020-12-17 09:05:58 [INFO] [EVAL] Class Acc: [0.9627 0.9593 0.444 0.9512 0.7864 0.9363 0.9891 0.9575 0.956 0.734 0.9781 0.9342 0.9372 0.9525 0.9001 0.963 0.829 0.9705 0.8572 0.9222 0.9738] 2020-12-17 09:06:05 [INFO] [EVAL] The model with the best validation mIoU (0.7973) was saved at iter 38000. ----------- 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/emanet/emanet_voc_40k.yml'] use_paddlecloud: False ------------------------------------------------