2020-12-17 15:02:10 [INFO] ------------Environment Information------------- platform: Linux-3.10.0_3-0-0-34-x86_64-with-centos-7.5.1804-Core Python: 3.6.12 |Anaconda, Inc.| (default, Sep 8 2020, 23:10:56) [GCC 7.3.0] Paddle compiled with cuda: True NVCC: Cuda compilation tools, release 10.2, V10.2.89 cudnn: 7.6 GPUs used: 4 CUDA_VISIBLE_DEVICES: 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: 4.4.0 ------------------------------------------------ 2020-12-17 15:02:10 [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: true backbone: output_stride: 8 pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz type: ResNet50_vd isa_channels: 256 num_classes: 19 type: ISANet optimizer: momentum: 0.9 type: sgd weight_decay: 1.0e-05 train_dataset: dataset_root: data/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 ------------------------------------------------ 2020-12-17 15:02:14 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz 2020-12-17 15:02:15 [INFO] There are 275/275 variables loaded into ResNet_vd. 2020-12-17 15:02:30 [INFO] [TRAIN] epoch=1, iter=10/40000, loss=3.3804, lr=0.009998, batch_cost=0.8290, reader_cost=0.0879 | ETA 09:12:32 2020-12-17 15:02:35 [INFO] [TRAIN] epoch=1, iter=20/40000, loss=2.5690, lr=0.009996, batch_cost=0.4896, reader_cost=0.0001 | ETA 05:26:13 2020-12-17 15:02:40 [INFO] [TRAIN] epoch=1, iter=30/40000, loss=1.6387, lr=0.009993, batch_cost=0.4989, reader_cost=0.0001 | ETA 05:32:20 2020-12-17 15:02:45 [INFO] [TRAIN] epoch=1, iter=40/40000, loss=1.7082, lr=0.009991, batch_cost=0.4948, reader_cost=0.0003 | ETA 05:29:30 2020-12-17 15:02:49 [INFO] [TRAIN] epoch=1, iter=50/40000, loss=1.7860, lr=0.009989, batch_cost=0.4863, reader_cost=0.0001 | ETA 05:23:46 2020-12-17 15:02:54 [INFO] [TRAIN] epoch=1, iter=60/40000, loss=1.5478, lr=0.009987, batch_cost=0.4790, reader_cost=0.0001 | ETA 05:18:51 2020-12-17 15:02:59 [INFO] [TRAIN] epoch=1, iter=70/40000, loss=1.7650, lr=0.009984, batch_cost=0.4811, reader_cost=0.0001 | ETA 05:20:12 2020-12-17 15:03:04 [INFO] [TRAIN] epoch=1, iter=80/40000, loss=1.7464, lr=0.009982, batch_cost=0.4860, reader_cost=0.0001 | ETA 05:23:19 2020-12-17 15:03:09 [INFO] [TRAIN] epoch=1, iter=90/40000, loss=1.5004, lr=0.009980, batch_cost=0.4809, reader_cost=0.0001 | ETA 05:19:51 2020-12-17 15:03:14 [INFO] [TRAIN] epoch=1, iter=100/40000, loss=1.5400, lr=0.009978, batch_cost=0.4933, reader_cost=0.0001 | ETA 05:28:03 2020-12-17 15:03:18 [INFO] [TRAIN] epoch=1, iter=110/40000, loss=1.2361, lr=0.009975, batch_cost=0.4768, reader_cost=0.0001 | ETA 05:16:58 2020-12-17 15:03:23 [INFO] [TRAIN] epoch=1, iter=120/40000, loss=1.2707, lr=0.009973, batch_cost=0.5027, reader_cost=0.0001 | ETA 05:34:06 2020-12-17 15:03:28 [INFO] [TRAIN] epoch=1, iter=130/40000, loss=1.1964, lr=0.009971, batch_cost=0.4921, reader_cost=0.0001 | ETA 05:27:00 2020-12-17 15:03:33 [INFO] [TRAIN] epoch=1, iter=140/40000, loss=1.0112, lr=0.009969, batch_cost=0.4811, reader_cost=0.0001 | ETA 05:19:35 2020-12-17 15:03:38 [INFO] [TRAIN] epoch=1, iter=150/40000, loss=1.0622, lr=0.009966, batch_cost=0.4822, reader_cost=0.0001 | ETA 05:20:16 2020-12-17 15:03:43 [INFO] [TRAIN] epoch=1, iter=160/40000, loss=1.1623, lr=0.009964, batch_cost=0.4824, reader_cost=0.0001 | ETA 05:20:20 2020-12-17 15:03:48 [INFO] [TRAIN] epoch=1, iter=170/40000, loss=1.4116, lr=0.009962, batch_cost=0.4881, reader_cost=0.0001 | ETA 05:23:59 2020-12-17 15:03:52 [INFO] [TRAIN] epoch=1, iter=180/40000, loss=1.2881, lr=0.009960, batch_cost=0.4856, reader_cost=0.0001 | ETA 05:22:16 2020-12-17 15:03:57 [INFO] [TRAIN] epoch=1, iter=190/40000, loss=1.3614, lr=0.009957, batch_cost=0.4870, reader_cost=0.0001 | ETA 05:23:07 2020-12-17 15:04:03 [INFO] [TRAIN] epoch=1, iter=200/40000, loss=1.1515, lr=0.009955, batch_cost=0.5345, reader_cost=0.0001 | ETA 05:54:33 2020-12-17 15:04:08 [INFO] [TRAIN] epoch=1, iter=210/40000, loss=1.1912, lr=0.009953, batch_cost=0.4987, reader_cost=0.0001 | ETA 05:30:43 2020-12-17 15:04:13 [INFO] [TRAIN] epoch=1, iter=220/40000, loss=0.8971, lr=0.009951, batch_cost=0.5045, reader_cost=0.0001 | ETA 05:34:29 2020-12-17 15:04:18 [INFO] [TRAIN] epoch=1, iter=230/40000, loss=1.1114, lr=0.009948, batch_cost=0.4918, reader_cost=0.0001 | ETA 05:25:57 2020-12-17 15:04:23 [INFO] [TRAIN] epoch=1, iter=240/40000, loss=1.0981, lr=0.009946, batch_cost=0.4859, reader_cost=0.0001 | ETA 05:22:00 2020-12-17 15:04:27 [INFO] [TRAIN] epoch=1, iter=250/40000, loss=1.3365, lr=0.009944, batch_cost=0.4819, reader_cost=0.0001 | ETA 05:19:16 2020-12-17 15:04:32 [INFO] [TRAIN] epoch=1, iter=260/40000, loss=0.9293, lr=0.009942, batch_cost=0.4780, reader_cost=0.0001 | ETA 05:16:37 2020-12-17 15:04:37 [INFO] [TRAIN] epoch=1, iter=270/40000, loss=0.7685, lr=0.009939, batch_cost=0.4880, reader_cost=0.0001 | ETA 05:23:07 2020-12-17 15:04:42 [INFO] [TRAIN] epoch=1, iter=280/40000, loss=1.2503, lr=0.009937, batch_cost=0.4862, reader_cost=0.0001 | ETA 05:21:53 2020-12-17 15:04:47 [INFO] [TRAIN] epoch=1, iter=290/40000, loss=1.0441, lr=0.009935, batch_cost=0.4795, reader_cost=0.0001 | ETA 05:17:20 2020-12-17 15:04:52 [INFO] [TRAIN] epoch=1, iter=300/40000, loss=1.2111, lr=0.009933, batch_cost=0.4971, reader_cost=0.0001 | ETA 05:28:55 2020-12-17 15:04:57 [INFO] [TRAIN] epoch=1, iter=310/40000, loss=0.9643, lr=0.009930, batch_cost=0.4865, reader_cost=0.0001 | ETA 05:21:50 2020-12-17 15:05:01 [INFO] [TRAIN] epoch=1, iter=320/40000, loss=0.8166, lr=0.009928, batch_cost=0.4885, reader_cost=0.0001 | ETA 05:23:02 2020-12-17 15:05:06 [INFO] [TRAIN] epoch=1, iter=330/40000, loss=0.9889, lr=0.009926, batch_cost=0.4824, reader_cost=0.0001 | ETA 05:18:58 2020-12-17 15:05:11 [INFO] [TRAIN] epoch=1, iter=340/40000, loss=0.8552, lr=0.009924, batch_cost=0.4737, reader_cost=0.0001 | ETA 05:13:08 2020-12-17 15:05:16 [INFO] [TRAIN] epoch=1, iter=350/40000, loss=1.0334, lr=0.009921, batch_cost=0.4763, reader_cost=0.0001 | ETA 05:14:44 2020-12-17 15:05:21 [INFO] [TRAIN] epoch=1, iter=360/40000, loss=0.9071, lr=0.009919, batch_cost=0.4852, reader_cost=0.0001 | ETA 05:20:32 2020-12-17 15:05:25 [INFO] [TRAIN] epoch=1, iter=370/40000, loss=0.8091, lr=0.009917, batch_cost=0.4824, reader_cost=0.0001 | ETA 05:18:38 2020-12-17 15:05:30 [INFO] [TRAIN] epoch=1, iter=380/40000, loss=0.9725, lr=0.009915, batch_cost=0.5019, reader_cost=0.0001 | ETA 05:31:26 2020-12-17 15:05:36 [INFO] [TRAIN] epoch=1, iter=390/40000, loss=0.8674, lr=0.009912, batch_cost=0.5137, reader_cost=0.0001 | ETA 05:39:08 2020-12-17 15:05:40 [INFO] [TRAIN] epoch=1, iter=400/40000, loss=0.9783, lr=0.009910, batch_cost=0.4925, reader_cost=0.0001 | ETA 05:25:03 2020-12-17 15:05:45 [INFO] [TRAIN] epoch=1, iter=410/40000, loss=1.1257, lr=0.009908, batch_cost=0.4872, reader_cost=0.0001 | ETA 05:21:30 2020-12-17 15:05:50 [INFO] [TRAIN] epoch=1, iter=420/40000, loss=0.7093, lr=0.009906, batch_cost=0.4867, reader_cost=0.0001 | ETA 05:21:01 2020-12-17 15:05:55 [INFO] [TRAIN] epoch=1, iter=430/40000, loss=0.7681, lr=0.009903, batch_cost=0.4754, reader_cost=0.0001 | ETA 05:13:31 2020-12-17 15:06:00 [INFO] [TRAIN] epoch=1, iter=440/40000, loss=0.8137, lr=0.009901, batch_cost=0.4807, reader_cost=0.0001 | ETA 05:16:55 2020-12-17 15:06:05 [INFO] [TRAIN] epoch=1, iter=450/40000, loss=0.7492, lr=0.009899, batch_cost=0.4875, reader_cost=0.0001 | ETA 05:21:20 2020-12-17 15:06:09 [INFO] [TRAIN] epoch=1, iter=460/40000, loss=0.8711, lr=0.009897, batch_cost=0.4777, reader_cost=0.0001 | ETA 05:14:49 2020-12-17 15:06:15 [INFO] [TRAIN] epoch=1, iter=470/40000, loss=1.1182, lr=0.009894, batch_cost=0.5082, reader_cost=0.0001 | ETA 05:34:47 2020-12-17 15:06:19 [INFO] [TRAIN] epoch=1, iter=480/40000, loss=0.9173, lr=0.009892, batch_cost=0.4951, reader_cost=0.0001 | ETA 05:26:07 2020-12-17 15:06:24 [INFO] [TRAIN] epoch=1, iter=490/40000, loss=1.0135, lr=0.009890, batch_cost=0.4853, reader_cost=0.0001 | ETA 05:19:33 2020-12-17 15:06:29 [INFO] [TRAIN] epoch=1, iter=500/40000, loss=0.8168, lr=0.009888, batch_cost=0.4726, reader_cost=0.0001 | ETA 05:11:06 2020-12-17 15:06:34 [INFO] [TRAIN] epoch=1, iter=510/40000, loss=0.9084, lr=0.009885, batch_cost=0.4848, reader_cost=0.0001 | ETA 05:19:05 2020-12-17 15:06:39 [INFO] [TRAIN] epoch=1, iter=520/40000, loss=0.7498, lr=0.009883, batch_cost=0.4875, reader_cost=0.0001 | ETA 05:20:48 2020-12-17 15:06:44 [INFO] [TRAIN] epoch=1, iter=530/40000, loss=0.9744, lr=0.009881, batch_cost=0.4849, reader_cost=0.0001 | ETA 05:19:00 2020-12-17 15:06:48 [INFO] [TRAIN] epoch=1, iter=540/40000, loss=0.8872, lr=0.009879, batch_cost=0.4822, reader_cost=0.0003 | ETA 05:17:07 2020-12-17 15:06:54 [INFO] [TRAIN] epoch=1, iter=550/40000, loss=0.7717, lr=0.009876, batch_cost=0.5311, reader_cost=0.0001 | ETA 05:49:10 2020-12-17 15:06:59 [INFO] [TRAIN] epoch=1, iter=560/40000, loss=1.0008, lr=0.009874, batch_cost=0.5079, reader_cost=0.0001 | ETA 05:33:50 2020-12-17 15:07:04 [INFO] [TRAIN] epoch=1, iter=570/40000, loss=0.7682, lr=0.009872, batch_cost=0.4983, reader_cost=0.0001 | ETA 05:27:29 2020-12-17 15:07:09 [INFO] [TRAIN] epoch=1, iter=580/40000, loss=0.9810, lr=0.009870, batch_cost=0.4998, reader_cost=0.0001 | ETA 05:28:23 2020-12-17 15:07:14 [INFO] [TRAIN] epoch=1, iter=590/40000, loss=0.9530, lr=0.009867, batch_cost=0.5035, reader_cost=0.0001 | ETA 05:30:43 2020-12-17 15:07:19 [INFO] [TRAIN] epoch=1, iter=600/40000, loss=0.9934, lr=0.009865, batch_cost=0.4947, reader_cost=0.0001 | ETA 05:24:49 2020-12-17 15:07:24 [INFO] [TRAIN] epoch=1, iter=610/40000, loss=0.9830, lr=0.009863, batch_cost=0.4919, reader_cost=0.0001 | ETA 05:22:55 2020-12-17 15:07:29 [INFO] [TRAIN] epoch=1, iter=620/40000, loss=0.9378, lr=0.009861, batch_cost=0.4784, reader_cost=0.0001 | ETA 05:13:58 2020-12-17 15:07:33 [INFO] [TRAIN] epoch=1, iter=630/40000, loss=1.2538, lr=0.009858, batch_cost=0.4776, reader_cost=0.0001 | ETA 05:13:22 2020-12-17 15:07:38 [INFO] [TRAIN] epoch=1, iter=640/40000, loss=1.0379, lr=0.009856, batch_cost=0.5002, reader_cost=0.0001 | ETA 05:28:09 2020-12-17 15:07:43 [INFO] [TRAIN] epoch=1, iter=650/40000, loss=0.7676, lr=0.009854, batch_cost=0.4792, reader_cost=0.0001 | ETA 05:14:17 2020-12-17 15:07:48 [INFO] [TRAIN] epoch=1, iter=660/40000, loss=1.0575, lr=0.009852, batch_cost=0.4496, reader_cost=0.0001 | ETA 04:54:46 2020-12-17 15:07:53 [INFO] [TRAIN] epoch=2, iter=670/40000, loss=0.9254, lr=0.009849, batch_cost=0.5090, reader_cost=0.0324 | ETA 05:33:39 2020-12-17 15:07:57 [INFO] [TRAIN] epoch=2, iter=680/40000, loss=0.7755, lr=0.009847, batch_cost=0.4807, reader_cost=0.0001 | ETA 05:15:01 2020-12-17 15:08:02 [INFO] [TRAIN] epoch=2, iter=690/40000, loss=0.9677, lr=0.009845, batch_cost=0.4913, reader_cost=0.0001 | ETA 05:21:54 2020-12-17 15:08:07 [INFO] [TRAIN] epoch=2, iter=700/40000, loss=0.7314, lr=0.009843, batch_cost=0.4936, reader_cost=0.0001 | ETA 05:23:17 2020-12-17 15:08:12 [INFO] [TRAIN] epoch=2, iter=710/40000, loss=0.8595, lr=0.009840, batch_cost=0.4919, reader_cost=0.0001 | ETA 05:22:06 2020-12-17 15:08:17 [INFO] [TRAIN] epoch=2, iter=720/40000, loss=0.7287, lr=0.009838, batch_cost=0.4864, reader_cost=0.0001 | ETA 05:18:26 2020-12-17 15:08:22 [INFO] [TRAIN] epoch=2, iter=730/40000, loss=0.6370, lr=0.009836, batch_cost=0.4892, reader_cost=0.0001 | ETA 05:20:11 2020-12-17 15:08:27 [INFO] [TRAIN] epoch=2, iter=740/40000, loss=0.7972, lr=0.009834, batch_cost=0.4764, reader_cost=0.0001 | ETA 05:11:41 2020-12-17 15:08:32 [INFO] [TRAIN] epoch=2, iter=750/40000, loss=0.9387, lr=0.009831, batch_cost=0.5214, reader_cost=0.0001 | ETA 05:41:03 2020-12-17 15:08:37 [INFO] [TRAIN] epoch=2, iter=760/40000, loss=0.6511, lr=0.009829, batch_cost=0.4751, reader_cost=0.0001 | ETA 05:10:41 2020-12-17 15:08:42 [INFO] [TRAIN] epoch=2, iter=770/40000, loss=1.1733, lr=0.009827, batch_cost=0.4812, reader_cost=0.0001 | ETA 05:14:37 2020-12-17 15:08:46 [INFO] [TRAIN] epoch=2, iter=780/40000, loss=0.8785, lr=0.009825, batch_cost=0.4891, reader_cost=0.0001 | ETA 05:19:42 2020-12-17 15:08:51 [INFO] [TRAIN] epoch=2, iter=790/40000, loss=0.8078, lr=0.009822, batch_cost=0.4972, reader_cost=0.0001 | ETA 05:24:53 2020-12-17 15:08:56 [INFO] [TRAIN] epoch=2, iter=800/40000, loss=0.6861, lr=0.009820, batch_cost=0.4925, reader_cost=0.0001 | ETA 05:21:47 2020-12-17 15:09:01 [INFO] [TRAIN] epoch=2, iter=810/40000, loss=0.8373, lr=0.009818, batch_cost=0.4828, reader_cost=0.0001 | ETA 05:15:19 2020-12-17 15:09:06 [INFO] [TRAIN] epoch=2, iter=820/40000, loss=0.8326, lr=0.009816, batch_cost=0.4884, reader_cost=0.0001 | ETA 05:18:56 2020-12-17 15:09:11 [INFO] [TRAIN] epoch=2, iter=830/40000, loss=0.5568, lr=0.009813, batch_cost=0.4704, reader_cost=0.0001 | ETA 05:07:03 2020-12-17 15:09:16 [INFO] [TRAIN] epoch=2, iter=840/40000, loss=0.6300, lr=0.009811, batch_cost=0.5087, reader_cost=0.0001 | ETA 05:32:01 2020-12-17 15:09:21 [INFO] [TRAIN] epoch=2, iter=850/40000, loss=0.7190, lr=0.009809, batch_cost=0.4849, reader_cost=0.0001 | ETA 05:16:24 2020-12-17 15:09:26 [INFO] [TRAIN] epoch=2, iter=860/40000, loss=0.6435, lr=0.009807, batch_cost=0.4874, reader_cost=0.0001 | ETA 05:17:58 2020-12-17 15:09:30 [INFO] [TRAIN] epoch=2, iter=870/40000, loss=0.6671, lr=0.009804, batch_cost=0.4766, reader_cost=0.0001 | ETA 05:10:49 2020-12-17 15:09:35 [INFO] [TRAIN] epoch=2, iter=880/40000, loss=0.7839, lr=0.009802, batch_cost=0.4847, reader_cost=0.0001 | ETA 05:15:59 2020-12-17 15:09:40 [INFO] [TRAIN] epoch=2, iter=890/40000, loss=0.7816, lr=0.009800, batch_cost=0.4768, reader_cost=0.0001 | ETA 05:10:45 2020-12-17 15:09:45 [INFO] [TRAIN] epoch=2, iter=900/40000, loss=0.6647, lr=0.009797, batch_cost=0.4920, reader_cost=0.0001 | ETA 05:20:36 2020-12-17 15:09:50 [INFO] [TRAIN] epoch=2, iter=910/40000, loss=0.6277, lr=0.009795, batch_cost=0.4792, reader_cost=0.0001 | ETA 05:12:10 2020-12-17 15:09:55 [INFO] [TRAIN] epoch=2, iter=920/40000, loss=0.6755, lr=0.009793, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:50:07 2020-12-17 15:10:00 [INFO] [TRAIN] epoch=2, iter=930/40000, loss=0.6677, lr=0.009791, batch_cost=0.4877, reader_cost=0.0001 | ETA 05:17:33 2020-12-17 15:10:05 [INFO] [TRAIN] epoch=2, iter=940/40000, loss=0.8218, lr=0.009788, batch_cost=0.4910, reader_cost=0.0001 | ETA 05:19:36 2020-12-17 15:10:10 [INFO] [TRAIN] epoch=2, iter=950/40000, loss=0.6464, lr=0.009786, batch_cost=0.4773, reader_cost=0.0001 | ETA 05:10:38 2020-12-17 15:10:15 [INFO] [TRAIN] epoch=2, iter=960/40000, loss=0.7046, lr=0.009784, batch_cost=0.4914, reader_cost=0.0001 | ETA 05:19:43 2020-12-17 15:10:19 [INFO] [TRAIN] epoch=2, iter=970/40000, loss=0.5455, lr=0.009782, batch_cost=0.4837, reader_cost=0.0001 | ETA 05:14:36 2020-12-17 15:10:24 [INFO] [TRAIN] epoch=2, iter=980/40000, loss=0.9148, lr=0.009779, batch_cost=0.4954, reader_cost=0.0001 | ETA 05:22:11 2020-12-17 15:10:29 [INFO] [TRAIN] epoch=2, iter=990/40000, loss=0.8219, lr=0.009777, batch_cost=0.4877, reader_cost=0.0001 | ETA 05:17:06 2020-12-17 15:10:34 [INFO] [TRAIN] epoch=2, iter=1000/40000, loss=0.7241, lr=0.009775, batch_cost=0.4817, reader_cost=0.0001 | ETA 05:13:06 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:10:34 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 15:10:53 [INFO] [EVAL] #Images=1449 mIoU=0.5789 Acc=0.9009 Kappa=0.7813 2020-12-17 15:10:53 [INFO] [EVAL] Class IoU: [0.9123 0.7934 0.3374 0.7542 0.5913 0.5263 0.7709 0.6012 0.6072 0.3045 0.4388 0.3285 0.5589 0.5462 0.6586 0.785 0.3847 0.5565 0.4099 0.6695 0.6216] 2020-12-17 15:10:53 [INFO] [EVAL] Class Acc: [0.9512 0.8643 0.3745 0.8502 0.6979 0.9195 0.9012 0.6343 0.6206 0.4862 0.9082 0.8319 0.9286 0.5882 0.7519 0.8759 0.7468 0.8813 0.6204 0.9122 0.8436] 2020-12-17 15:10:58 [INFO] [EVAL] The model with the best validation mIoU (0.5789) was saved at iter 1000. 2020-12-17 15:11:03 [INFO] [TRAIN] epoch=2, iter=1010/40000, loss=0.5663, lr=0.009773, batch_cost=0.4826, reader_cost=0.0001 | ETA 05:13:37 2020-12-17 15:11:08 [INFO] [TRAIN] epoch=2, iter=1020/40000, loss=0.7877, lr=0.009770, batch_cost=0.4803, reader_cost=0.0001 | ETA 05:12:00 2020-12-17 15:11:13 [INFO] [TRAIN] epoch=2, iter=1030/40000, loss=0.9778, lr=0.009768, batch_cost=0.4801, reader_cost=0.0001 | ETA 05:11:47 2020-12-17 15:11:17 [INFO] [TRAIN] epoch=2, iter=1040/40000, loss=0.5874, lr=0.009766, batch_cost=0.4841, reader_cost=0.0001 | ETA 05:14:21 2020-12-17 15:11:23 [INFO] [TRAIN] epoch=2, iter=1050/40000, loss=0.8484, lr=0.009764, batch_cost=0.5022, reader_cost=0.0001 | ETA 05:26:02 2020-12-17 15:11:28 [INFO] [TRAIN] epoch=2, iter=1060/40000, loss=0.7719, lr=0.009761, batch_cost=0.5063, reader_cost=0.0001 | ETA 05:28:35 2020-12-17 15:11:32 [INFO] [TRAIN] epoch=2, iter=1070/40000, loss=1.2434, lr=0.009759, batch_cost=0.4853, reader_cost=0.0001 | ETA 05:14:51 2020-12-17 15:11:37 [INFO] [TRAIN] epoch=2, iter=1080/40000, loss=0.6070, lr=0.009757, batch_cost=0.4783, reader_cost=0.0001 | ETA 05:10:15 2020-12-17 15:11:42 [INFO] [TRAIN] epoch=2, iter=1090/40000, loss=0.6985, lr=0.009755, batch_cost=0.4954, reader_cost=0.0001 | ETA 05:21:15 2020-12-17 15:11:47 [INFO] [TRAIN] epoch=2, iter=1100/40000, loss=0.7211, lr=0.009752, batch_cost=0.4841, reader_cost=0.0001 | ETA 05:13:49 2020-12-17 15:11:52 [INFO] [TRAIN] epoch=2, iter=1110/40000, loss=0.7169, lr=0.009750, batch_cost=0.4807, reader_cost=0.0001 | ETA 05:11:34 2020-12-17 15:11:57 [INFO] [TRAIN] epoch=2, iter=1120/40000, loss=0.7759, lr=0.009748, batch_cost=0.4888, reader_cost=0.0001 | ETA 05:16:46 2020-12-17 15:12:02 [INFO] [TRAIN] epoch=2, iter=1130/40000, loss=0.9811, lr=0.009746, batch_cost=0.4800, reader_cost=0.0001 | ETA 05:10:56 2020-12-17 15:12:07 [INFO] [TRAIN] epoch=2, iter=1140/40000, loss=0.7435, lr=0.009743, batch_cost=0.5035, reader_cost=0.0001 | ETA 05:26:07 2020-12-17 15:12:11 [INFO] [TRAIN] epoch=2, iter=1150/40000, loss=0.6814, lr=0.009741, batch_cost=0.4844, reader_cost=0.0001 | ETA 05:13:38 2020-12-17 15:12:16 [INFO] [TRAIN] epoch=2, iter=1160/40000, loss=0.5742, lr=0.009739, batch_cost=0.4818, reader_cost=0.0001 | ETA 05:11:52 2020-12-17 15:12:21 [INFO] [TRAIN] epoch=2, iter=1170/40000, loss=0.5888, lr=0.009737, batch_cost=0.4803, reader_cost=0.0001 | ETA 05:10:49 2020-12-17 15:12:26 [INFO] [TRAIN] epoch=2, iter=1180/40000, loss=0.7272, lr=0.009734, batch_cost=0.4840, reader_cost=0.0001 | ETA 05:13:07 2020-12-17 15:12:31 [INFO] [TRAIN] epoch=2, iter=1190/40000, loss=0.9724, lr=0.009732, batch_cost=0.4911, reader_cost=0.0001 | ETA 05:17:39 2020-12-17 15:12:36 [INFO] [TRAIN] epoch=2, iter=1200/40000, loss=0.5365, lr=0.009730, batch_cost=0.4844, reader_cost=0.0001 | ETA 05:13:16 2020-12-17 15:12:40 [INFO] [TRAIN] epoch=2, iter=1210/40000, loss=0.8224, lr=0.009728, batch_cost=0.4847, reader_cost=0.0001 | ETA 05:13:22 2020-12-17 15:12:45 [INFO] [TRAIN] epoch=2, iter=1220/40000, loss=0.6329, lr=0.009725, batch_cost=0.4980, reader_cost=0.0001 | ETA 05:21:54 2020-12-17 15:12:51 [INFO] [TRAIN] epoch=2, iter=1230/40000, loss=1.0051, lr=0.009723, batch_cost=0.5212, reader_cost=0.0028 | ETA 05:36:48 2020-12-17 15:12:56 [INFO] [TRAIN] epoch=2, iter=1240/40000, loss=0.6324, lr=0.009721, batch_cost=0.5147, reader_cost=0.0001 | ETA 05:32:29 2020-12-17 15:13:01 [INFO] [TRAIN] epoch=2, iter=1250/40000, loss=0.7751, lr=0.009719, batch_cost=0.5069, reader_cost=0.0001 | ETA 05:27:21 2020-12-17 15:13:06 [INFO] [TRAIN] epoch=2, iter=1260/40000, loss=0.6206, lr=0.009716, batch_cost=0.4944, reader_cost=0.0001 | ETA 05:19:11 2020-12-17 15:13:11 [INFO] [TRAIN] epoch=2, iter=1270/40000, loss=0.8793, lr=0.009714, batch_cost=0.4984, reader_cost=0.0001 | ETA 05:21:44 2020-12-17 15:13:16 [INFO] [TRAIN] epoch=2, iter=1280/40000, loss=0.8603, lr=0.009712, batch_cost=0.5020, reader_cost=0.0001 | ETA 05:23:57 2020-12-17 15:13:21 [INFO] [TRAIN] epoch=2, iter=1290/40000, loss=0.4537, lr=0.009710, batch_cost=0.5071, reader_cost=0.0001 | ETA 05:27:09 2020-12-17 15:13:26 [INFO] [TRAIN] epoch=2, iter=1300/40000, loss=0.7581, lr=0.009707, batch_cost=0.4917, reader_cost=0.0001 | ETA 05:17:06 2020-12-17 15:13:31 [INFO] [TRAIN] epoch=2, iter=1310/40000, loss=0.7359, lr=0.009705, batch_cost=0.4863, reader_cost=0.0001 | ETA 05:13:34 2020-12-17 15:13:35 [INFO] [TRAIN] epoch=2, iter=1320/40000, loss=0.8302, lr=0.009703, batch_cost=0.4636, reader_cost=0.0001 | ETA 04:58:53 2020-12-17 15:13:40 [INFO] [TRAIN] epoch=3, iter=1330/40000, loss=0.7288, lr=0.009700, batch_cost=0.5015, reader_cost=0.0353 | ETA 05:23:11 2020-12-17 15:13:45 [INFO] [TRAIN] epoch=3, iter=1340/40000, loss=0.8103, lr=0.009698, batch_cost=0.4905, reader_cost=0.0001 | ETA 05:16:03 2020-12-17 15:13:50 [INFO] [TRAIN] epoch=3, iter=1350/40000, loss=0.6478, lr=0.009696, batch_cost=0.4904, reader_cost=0.0001 | ETA 05:15:52 2020-12-17 15:13:55 [INFO] [TRAIN] epoch=3, iter=1360/40000, loss=0.9898, lr=0.009694, batch_cost=0.4889, reader_cost=0.0001 | ETA 05:14:52 2020-12-17 15:14:00 [INFO] [TRAIN] epoch=3, iter=1370/40000, loss=0.8026, lr=0.009691, batch_cost=0.4826, reader_cost=0.0001 | ETA 05:10:40 2020-12-17 15:14:05 [INFO] [TRAIN] epoch=3, iter=1380/40000, loss=0.6093, lr=0.009689, batch_cost=0.4921, reader_cost=0.0001 | ETA 05:16:44 2020-12-17 15:14:10 [INFO] [TRAIN] epoch=3, iter=1390/40000, loss=1.3070, lr=0.009687, batch_cost=0.4745, reader_cost=0.0001 | ETA 05:05:20 2020-12-17 15:14:14 [INFO] [TRAIN] epoch=3, iter=1400/40000, loss=0.9363, lr=0.009685, batch_cost=0.4803, reader_cost=0.0001 | ETA 05:09:01 2020-12-17 15:14:19 [INFO] [TRAIN] epoch=3, iter=1410/40000, loss=0.8079, lr=0.009682, batch_cost=0.4792, reader_cost=0.0001 | ETA 05:08:12 2020-12-17 15:14:24 [INFO] [TRAIN] epoch=3, iter=1420/40000, loss=0.7295, lr=0.009680, batch_cost=0.5126, reader_cost=0.0001 | ETA 05:29:37 2020-12-17 15:14:29 [INFO] [TRAIN] epoch=3, iter=1430/40000, loss=0.6350, lr=0.009678, batch_cost=0.4866, reader_cost=0.0001 | ETA 05:12:46 2020-12-17 15:14:34 [INFO] [TRAIN] epoch=3, iter=1440/40000, loss=0.5950, lr=0.009676, batch_cost=0.4848, reader_cost=0.0001 | ETA 05:11:32 2020-12-17 15:14:39 [INFO] [TRAIN] epoch=3, iter=1450/40000, loss=0.8256, lr=0.009673, batch_cost=0.4928, reader_cost=0.0001 | ETA 05:16:38 2020-12-17 15:14:44 [INFO] [TRAIN] epoch=3, iter=1460/40000, loss=0.8708, lr=0.009671, batch_cost=0.5005, reader_cost=0.0014 | ETA 05:21:29 2020-12-17 15:14:49 [INFO] [TRAIN] epoch=3, iter=1470/40000, loss=1.0765, lr=0.009669, batch_cost=0.4997, reader_cost=0.0001 | ETA 05:20:53 2020-12-17 15:14:54 [INFO] [TRAIN] epoch=3, iter=1480/40000, loss=0.6568, lr=0.009667, batch_cost=0.5023, reader_cost=0.0001 | ETA 05:22:26 2020-12-17 15:14:59 [INFO] [TRAIN] epoch=3, iter=1490/40000, loss=0.6371, lr=0.009664, batch_cost=0.5020, reader_cost=0.0001 | ETA 05:22:10 2020-12-17 15:15:04 [INFO] [TRAIN] epoch=3, iter=1500/40000, loss=0.6489, lr=0.009662, batch_cost=0.4911, reader_cost=0.0003 | ETA 05:15:07 2020-12-17 15:15:09 [INFO] [TRAIN] epoch=3, iter=1510/40000, loss=0.9461, lr=0.009660, batch_cost=0.5326, reader_cost=0.0001 | ETA 05:41:39 2020-12-17 15:15:14 [INFO] [TRAIN] epoch=3, iter=1520/40000, loss=0.7943, lr=0.009658, batch_cost=0.5055, reader_cost=0.0005 | ETA 05:24:10 2020-12-17 15:15:19 [INFO] [TRAIN] epoch=3, iter=1530/40000, loss=0.6118, lr=0.009655, batch_cost=0.4889, reader_cost=0.0001 | ETA 05:13:27 2020-12-17 15:15:24 [INFO] [TRAIN] epoch=3, iter=1540/40000, loss=0.6738, lr=0.009653, batch_cost=0.4827, reader_cost=0.0014 | ETA 05:09:23 2020-12-17 15:15:29 [INFO] [TRAIN] epoch=3, iter=1550/40000, loss=0.8875, lr=0.009651, batch_cost=0.4840, reader_cost=0.0001 | ETA 05:10:10 2020-12-17 15:15:34 [INFO] [TRAIN] epoch=3, iter=1560/40000, loss=0.5946, lr=0.009649, batch_cost=0.4812, reader_cost=0.0001 | ETA 05:08:19 2020-12-17 15:15:39 [INFO] [TRAIN] epoch=3, iter=1570/40000, loss=0.6723, lr=0.009646, batch_cost=0.4945, reader_cost=0.0001 | ETA 05:16:44 2020-12-17 15:15:43 [INFO] [TRAIN] epoch=3, iter=1580/40000, loss=0.5912, lr=0.009644, batch_cost=0.4858, reader_cost=0.0001 | ETA 05:11:02 2020-12-17 15:15:49 [INFO] [TRAIN] epoch=3, iter=1590/40000, loss=0.8992, lr=0.009642, batch_cost=0.5316, reader_cost=0.0001 | ETA 05:40:17 2020-12-17 15:15:54 [INFO] [TRAIN] epoch=3, iter=1600/40000, loss=0.5870, lr=0.009639, batch_cost=0.5017, reader_cost=0.0001 | ETA 05:21:06 2020-12-17 15:15:58 [INFO] [TRAIN] epoch=3, iter=1610/40000, loss=0.6535, lr=0.009637, batch_cost=0.4713, reader_cost=0.0001 | ETA 05:01:32 2020-12-17 15:16:03 [INFO] [TRAIN] epoch=3, iter=1620/40000, loss=0.9807, lr=0.009635, batch_cost=0.5011, reader_cost=0.0001 | ETA 05:20:31 2020-12-17 15:16:08 [INFO] [TRAIN] epoch=3, iter=1630/40000, loss=0.7863, lr=0.009633, batch_cost=0.4930, reader_cost=0.0001 | ETA 05:15:15 2020-12-17 15:16:13 [INFO] [TRAIN] epoch=3, iter=1640/40000, loss=0.6836, lr=0.009630, batch_cost=0.4884, reader_cost=0.0001 | ETA 05:12:15 2020-12-17 15:16:18 [INFO] [TRAIN] epoch=3, iter=1650/40000, loss=0.5807, lr=0.009628, batch_cost=0.4749, reader_cost=0.0001 | ETA 05:03:31 2020-12-17 15:16:23 [INFO] [TRAIN] epoch=3, iter=1660/40000, loss=0.5265, lr=0.009626, batch_cost=0.5022, reader_cost=0.0001 | ETA 05:20:55 2020-12-17 15:16:28 [INFO] [TRAIN] epoch=3, iter=1670/40000, loss=0.5884, lr=0.009624, batch_cost=0.4843, reader_cost=0.0001 | ETA 05:09:24 2020-12-17 15:16:33 [INFO] [TRAIN] epoch=3, iter=1680/40000, loss=0.4695, lr=0.009621, batch_cost=0.5051, reader_cost=0.0001 | ETA 05:22:35 2020-12-17 15:16:38 [INFO] [TRAIN] epoch=3, iter=1690/40000, loss=0.7351, lr=0.009619, batch_cost=0.4780, reader_cost=0.0001 | ETA 05:05:10 2020-12-17 15:16:42 [INFO] [TRAIN] epoch=3, iter=1700/40000, loss=0.6325, lr=0.009617, batch_cost=0.4750, reader_cost=0.0001 | ETA 05:03:11 2020-12-17 15:16:47 [INFO] [TRAIN] epoch=3, iter=1710/40000, loss=0.7064, lr=0.009615, batch_cost=0.4942, reader_cost=0.0001 | ETA 05:15:21 2020-12-17 15:16:52 [INFO] [TRAIN] epoch=3, iter=1720/40000, loss=0.6148, lr=0.009612, batch_cost=0.4847, reader_cost=0.0001 | ETA 05:09:13 2020-12-17 15:16:57 [INFO] [TRAIN] epoch=3, iter=1730/40000, loss=0.5566, lr=0.009610, batch_cost=0.4867, reader_cost=0.0001 | ETA 05:10:26 2020-12-17 15:17:02 [INFO] [TRAIN] epoch=3, iter=1740/40000, loss=0.8088, lr=0.009608, batch_cost=0.4835, reader_cost=0.0001 | ETA 05:08:18 2020-12-17 15:17:07 [INFO] [TRAIN] epoch=3, iter=1750/40000, loss=0.7515, lr=0.009606, batch_cost=0.4902, reader_cost=0.0001 | ETA 05:12:31 2020-12-17 15:17:12 [INFO] [TRAIN] epoch=3, iter=1760/40000, loss=0.7296, lr=0.009603, batch_cost=0.4846, reader_cost=0.0001 | ETA 05:08:52 2020-12-17 15:17:17 [INFO] [TRAIN] epoch=3, iter=1770/40000, loss=0.4880, lr=0.009601, batch_cost=0.4992, reader_cost=0.0001 | ETA 05:18:04 2020-12-17 15:17:22 [INFO] [TRAIN] epoch=3, iter=1780/40000, loss=0.7243, lr=0.009599, batch_cost=0.4905, reader_cost=0.0001 | ETA 05:12:28 2020-12-17 15:17:26 [INFO] [TRAIN] epoch=3, iter=1790/40000, loss=0.7187, lr=0.009597, batch_cost=0.4804, reader_cost=0.0001 | ETA 05:05:55 2020-12-17 15:17:31 [INFO] [TRAIN] epoch=3, iter=1800/40000, loss=0.9390, lr=0.009594, batch_cost=0.4769, reader_cost=0.0001 | ETA 05:03:36 2020-12-17 15:17:36 [INFO] [TRAIN] epoch=3, iter=1810/40000, loss=0.9126, lr=0.009592, batch_cost=0.4806, reader_cost=0.0001 | ETA 05:05:52 2020-12-17 15:17:41 [INFO] [TRAIN] epoch=3, iter=1820/40000, loss=0.9296, lr=0.009590, batch_cost=0.4830, reader_cost=0.0001 | ETA 05:07:22 2020-12-17 15:17:46 [INFO] [TRAIN] epoch=3, iter=1830/40000, loss=0.6362, lr=0.009588, batch_cost=0.4824, reader_cost=0.0001 | ETA 05:06:51 2020-12-17 15:17:51 [INFO] [TRAIN] epoch=3, iter=1840/40000, loss=0.8813, lr=0.009585, batch_cost=0.4865, reader_cost=0.0001 | ETA 05:09:26 2020-12-17 15:17:55 [INFO] [TRAIN] epoch=3, iter=1850/40000, loss=0.5983, lr=0.009583, batch_cost=0.4743, reader_cost=0.0001 | ETA 05:01:35 2020-12-17 15:18:00 [INFO] [TRAIN] epoch=3, iter=1860/40000, loss=0.5494, lr=0.009581, batch_cost=0.5012, reader_cost=0.0001 | ETA 05:18:35 2020-12-17 15:18:05 [INFO] [TRAIN] epoch=3, iter=1870/40000, loss=0.7075, lr=0.009578, batch_cost=0.4809, reader_cost=0.0001 | ETA 05:05:36 2020-12-17 15:18:10 [INFO] [TRAIN] epoch=3, iter=1880/40000, loss=0.6386, lr=0.009576, batch_cost=0.4936, reader_cost=0.0001 | ETA 05:13:35 2020-12-17 15:18:15 [INFO] [TRAIN] epoch=3, iter=1890/40000, loss=0.6716, lr=0.009574, batch_cost=0.4928, reader_cost=0.0001 | ETA 05:13:00 2020-12-17 15:18:20 [INFO] [TRAIN] epoch=3, iter=1900/40000, loss=0.7639, lr=0.009572, batch_cost=0.5182, reader_cost=0.0001 | ETA 05:29:03 2020-12-17 15:18:25 [INFO] [TRAIN] epoch=3, iter=1910/40000, loss=0.7159, lr=0.009569, batch_cost=0.5239, reader_cost=0.0001 | ETA 05:32:37 2020-12-17 15:18:30 [INFO] [TRAIN] epoch=3, iter=1920/40000, loss=0.6012, lr=0.009567, batch_cost=0.4987, reader_cost=0.0001 | ETA 05:16:29 2020-12-17 15:18:36 [INFO] [TRAIN] epoch=3, iter=1930/40000, loss=0.5983, lr=0.009565, batch_cost=0.5187, reader_cost=0.0004 | ETA 05:29:05 2020-12-17 15:18:41 [INFO] [TRAIN] epoch=3, iter=1940/40000, loss=0.5265, lr=0.009563, batch_cost=0.5542, reader_cost=0.0001 | ETA 05:51:33 2020-12-17 15:18:46 [INFO] [TRAIN] epoch=3, iter=1950/40000, loss=0.6425, lr=0.009560, batch_cost=0.5063, reader_cost=0.0001 | ETA 05:21:06 2020-12-17 15:18:51 [INFO] [TRAIN] epoch=3, iter=1960/40000, loss=1.0323, lr=0.009558, batch_cost=0.5358, reader_cost=0.0002 | ETA 05:39:43 2020-12-17 15:18:56 [INFO] [TRAIN] epoch=3, iter=1970/40000, loss=0.8078, lr=0.009556, batch_cost=0.4949, reader_cost=0.0003 | ETA 05:13:41 2020-12-17 15:19:01 [INFO] [TRAIN] epoch=3, iter=1980/40000, loss=0.6291, lr=0.009554, batch_cost=0.4791, reader_cost=0.0001 | ETA 05:03:34 2020-12-17 15:19:06 [INFO] [TRAIN] epoch=4, iter=1990/40000, loss=0.6907, lr=0.009551, batch_cost=0.5127, reader_cost=0.0266 | ETA 05:24:47 2020-12-17 15:19:11 [INFO] [TRAIN] epoch=4, iter=2000/40000, loss=0.6016, lr=0.009549, batch_cost=0.5063, reader_cost=0.0001 | ETA 05:20:38 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-17 15:19:11 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 15:19:33 [INFO] [EVAL] #Images=1449 mIoU=0.6324 Acc=0.9121 Kappa=0.8081 2020-12-17 15:19:33 [INFO] [EVAL] Class IoU: [0.9195 0.804 0.3567 0.852 0.6173 0.5768 0.7675 0.7632 0.8528 0.2475 0.5449 0.4808 0.7522 0.6664 0.6882 0.7903 0.467 0.4946 0.2864 0.736 0.6156] 2020-12-17 15:19:33 [INFO] [EVAL] Class Acc: [0.9592 0.8484 0.3742 0.9195 0.7233 0.8788 0.9785 0.8695 0.8904 0.2735 0.5971 0.6853 0.8152 0.8478 0.8041 0.9341 0.7976 0.9214 0.8382 0.8352 0.7938] 2020-12-17 15:19:39 [INFO] [EVAL] The model with the best validation mIoU (0.6324) was saved at iter 2000. 2020-12-17 15:19:44 [INFO] [TRAIN] epoch=4, iter=2010/40000, loss=0.4836, lr=0.009547, batch_cost=0.4944, reader_cost=0.0001 | ETA 05:13:00 2020-12-17 15:19:48 [INFO] [TRAIN] epoch=4, iter=2020/40000, loss=0.4831, lr=0.009545, batch_cost=0.4917, reader_cost=0.0001 | ETA 05:11:13 2020-12-17 15:19:53 [INFO] [TRAIN] epoch=4, iter=2030/40000, loss=0.6783, lr=0.009542, batch_cost=0.4892, reader_cost=0.0001 | ETA 05:09:33 2020-12-17 15:19:58 [INFO] [TRAIN] epoch=4, iter=2040/40000, loss=0.9336, lr=0.009540, batch_cost=0.5070, reader_cost=0.0001 | ETA 05:20:45 2020-12-17 15:20:03 [INFO] [TRAIN] epoch=4, iter=2050/40000, loss=0.8833, lr=0.009538, batch_cost=0.4734, reader_cost=0.0001 | ETA 04:59:25 2020-12-17 15:20:08 [INFO] [TRAIN] epoch=4, iter=2060/40000, loss=0.8094, lr=0.009536, batch_cost=0.4826, reader_cost=0.0001 | ETA 05:05:11 2020-12-17 15:20:13 [INFO] [TRAIN] epoch=4, iter=2070/40000, loss=0.9596, lr=0.009533, batch_cost=0.4813, reader_cost=0.0001 | ETA 05:04:14 2020-12-17 15:20:18 [INFO] [TRAIN] epoch=4, iter=2080/40000, loss=0.5031, lr=0.009531, batch_cost=0.5036, reader_cost=0.0001 | ETA 05:18:14 2020-12-17 15:20:23 [INFO] [TRAIN] epoch=4, iter=2090/40000, loss=0.7881, lr=0.009529, batch_cost=0.4807, reader_cost=0.0001 | ETA 05:03:42 2020-12-17 15:20:28 [INFO] [TRAIN] epoch=4, iter=2100/40000, loss=0.8831, lr=0.009526, batch_cost=0.4912, reader_cost=0.0001 | ETA 05:10:15 2020-12-17 15:20:32 [INFO] [TRAIN] epoch=4, iter=2110/40000, loss=0.7046, lr=0.009524, batch_cost=0.4813, reader_cost=0.0001 | ETA 05:03:56 2020-12-17 15:20:37 [INFO] [TRAIN] epoch=4, iter=2120/40000, loss=0.6242, lr=0.009522, batch_cost=0.4832, reader_cost=0.0001 | ETA 05:05:04 2020-12-17 15:20:42 [INFO] [TRAIN] epoch=4, iter=2130/40000, loss=0.9033, lr=0.009520, batch_cost=0.4821, reader_cost=0.0001 | ETA 05:04:17 2020-12-17 15:20:47 [INFO] [TRAIN] epoch=4, iter=2140/40000, loss=0.7889, lr=0.009517, batch_cost=0.4882, reader_cost=0.0001 | ETA 05:08:05 2020-12-17 15:20:52 [INFO] [TRAIN] epoch=4, iter=2150/40000, loss=0.5527, lr=0.009515, batch_cost=0.4839, reader_cost=0.0001 | ETA 05:05:14 2020-12-17 15:20:57 [INFO] [TRAIN] epoch=4, iter=2160/40000, loss=0.6712, lr=0.009513, batch_cost=0.4815, reader_cost=0.0001 | ETA 05:03:38 2020-12-17 15:21:01 [INFO] [TRAIN] epoch=4, iter=2170/40000, loss=0.8153, lr=0.009511, batch_cost=0.4775, reader_cost=0.0001 | ETA 05:01:02 2020-12-17 15:21:06 [INFO] [TRAIN] epoch=4, iter=2180/40000, loss=0.8332, lr=0.009508, batch_cost=0.5024, reader_cost=0.0001 | ETA 05:16:41 2020-12-17 15:21:11 [INFO] [TRAIN] epoch=4, iter=2190/40000, loss=0.6618, lr=0.009506, batch_cost=0.4817, reader_cost=0.0001 | ETA 05:03:34 2020-12-17 15:21:16 [INFO] [TRAIN] epoch=4, iter=2200/40000, loss=0.6871, lr=0.009504, batch_cost=0.4806, reader_cost=0.0001 | ETA 05:02:48 2020-12-17 15:21:21 [INFO] [TRAIN] epoch=4, iter=2210/40000, loss=0.6805, lr=0.009502, batch_cost=0.4876, reader_cost=0.0001 | ETA 05:07:07 2020-12-17 15:21:26 [INFO] [TRAIN] epoch=4, iter=2220/40000, loss=0.5973, lr=0.009499, batch_cost=0.4750, reader_cost=0.0001 | ETA 04:59:05 2020-12-17 15:21:30 [INFO] [TRAIN] epoch=4, iter=2230/40000, loss=0.7616, lr=0.009497, batch_cost=0.4843, reader_cost=0.0001 | ETA 05:04:51 2020-12-17 15:21:35 [INFO] [TRAIN] epoch=4, iter=2240/40000, loss=0.6727, lr=0.009495, batch_cost=0.4986, reader_cost=0.0001 | ETA 05:13:45 2020-12-17 15:21:40 [INFO] [TRAIN] epoch=4, iter=2250/40000, loss=0.5986, lr=0.009493, batch_cost=0.4955, reader_cost=0.0001 | ETA 05:11:46 2020-12-17 15:21:46 [INFO] [TRAIN] epoch=4, iter=2260/40000, loss=0.5342, lr=0.009490, batch_cost=0.5432, reader_cost=0.0003 | ETA 05:41:39 2020-12-17 15:21:51 [INFO] [TRAIN] epoch=4, iter=2270/40000, loss=0.5994, lr=0.009488, batch_cost=0.4879, reader_cost=0.0001 | ETA 05:06:50 2020-12-17 15:21:56 [INFO] [TRAIN] epoch=4, iter=2280/40000, loss=0.5525, lr=0.009486, batch_cost=0.4812, reader_cost=0.0001 | ETA 05:02:31 2020-12-17 15:22:00 [INFO] [TRAIN] epoch=4, iter=2290/40000, loss=0.5205, lr=0.009483, batch_cost=0.4918, reader_cost=0.0001 | ETA 05:09:04 2020-12-17 15:22:05 [INFO] [TRAIN] epoch=4, iter=2300/40000, loss=0.6294, lr=0.009481, batch_cost=0.4957, reader_cost=0.0001 | ETA 05:11:28 2020-12-17 15:22:10 [INFO] [TRAIN] epoch=4, iter=2310/40000, loss=0.6753, lr=0.009479, batch_cost=0.4761, reader_cost=0.0001 | ETA 04:59:06 2020-12-17 15:22:15 [INFO] [TRAIN] epoch=4, iter=2320/40000, loss=0.7245, lr=0.009477, batch_cost=0.4931, reader_cost=0.0001 | ETA 05:09:40 2020-12-17 15:22:20 [INFO] [TRAIN] epoch=4, iter=2330/40000, loss=0.8112, lr=0.009474, batch_cost=0.4935, reader_cost=0.0001 | ETA 05:09:51 2020-12-17 15:22:25 [INFO] [TRAIN] epoch=4, iter=2340/40000, loss=0.8277, lr=0.009472, batch_cost=0.4863, reader_cost=0.0001 | ETA 05:05:13 2020-12-17 15:22:30 [INFO] [TRAIN] epoch=4, iter=2350/40000, loss=0.6611, lr=0.009470, batch_cost=0.5057, reader_cost=0.0001 | ETA 05:17:19 2020-12-17 15:22:35 [INFO] [TRAIN] epoch=4, iter=2360/40000, loss=0.7076, lr=0.009468, batch_cost=0.5063, reader_cost=0.0001 | ETA 05:17:38 2020-12-17 15:22:40 [INFO] [TRAIN] epoch=4, iter=2370/40000, loss=0.6892, lr=0.009465, batch_cost=0.5303, reader_cost=0.0001 | ETA 05:32:34 2020-12-17 15:22:45 [INFO] [TRAIN] epoch=4, iter=2380/40000, loss=0.6580, lr=0.009463, batch_cost=0.4793, reader_cost=0.0001 | ETA 05:00:29 2020-12-17 15:22:50 [INFO] [TRAIN] epoch=4, iter=2390/40000, loss=0.8933, lr=0.009461, batch_cost=0.4952, reader_cost=0.0001 | ETA 05:10:26 2020-12-17 15:22:55 [INFO] [TRAIN] epoch=4, iter=2400/40000, loss=0.5193, lr=0.009459, batch_cost=0.5182, reader_cost=0.0001 | ETA 05:24:43 2020-12-17 15:23:00 [INFO] [TRAIN] epoch=4, iter=2410/40000, loss=0.5990, lr=0.009456, batch_cost=0.4840, reader_cost=0.0001 | ETA 05:03:12 2020-12-17 15:23:05 [INFO] [TRAIN] epoch=4, iter=2420/40000, loss=0.8509, lr=0.009454, batch_cost=0.4918, reader_cost=0.0001 | ETA 05:08:00 2020-12-17 15:23:10 [INFO] [TRAIN] epoch=4, iter=2430/40000, loss=0.5796, lr=0.009452, batch_cost=0.4971, reader_cost=0.0003 | ETA 05:11:16 2020-12-17 15:23:15 [INFO] [TRAIN] epoch=4, iter=2440/40000, loss=0.6586, lr=0.009450, batch_cost=0.5215, reader_cost=0.0016 | ETA 05:26:25 2020-12-17 15:23:20 [INFO] [TRAIN] epoch=4, iter=2450/40000, loss=0.6923, lr=0.009447, batch_cost=0.4913, reader_cost=0.0001 | ETA 05:07:26 2020-12-17 15:23:25 [INFO] [TRAIN] epoch=4, iter=2460/40000, loss=0.6704, lr=0.009445, batch_cost=0.4900, reader_cost=0.0001 | ETA 05:06:36 2020-12-17 15:23:30 [INFO] [TRAIN] epoch=4, iter=2470/40000, loss=0.7254, lr=0.009443, batch_cost=0.4898, reader_cost=0.0001 | ETA 05:06:23 2020-12-17 15:23:35 [INFO] [TRAIN] epoch=4, iter=2480/40000, loss=0.7857, lr=0.009440, batch_cost=0.4775, reader_cost=0.0001 | ETA 04:58:37 2020-12-17 15:23:40 [INFO] [TRAIN] epoch=4, iter=2490/40000, loss=0.7815, lr=0.009438, batch_cost=0.4878, reader_cost=0.0001 | ETA 05:04:56 2020-12-17 15:23:45 [INFO] [TRAIN] epoch=4, iter=2500/40000, loss=0.5566, lr=0.009436, batch_cost=0.5014, reader_cost=0.0001 | ETA 05:13:24 2020-12-17 15:23:50 [INFO] [TRAIN] epoch=4, iter=2510/40000, loss=0.6003, lr=0.009434, batch_cost=0.4998, reader_cost=0.0005 | ETA 05:12:16 2020-12-17 15:23:54 [INFO] [TRAIN] epoch=4, iter=2520/40000, loss=0.8645, lr=0.009431, batch_cost=0.4852, reader_cost=0.0001 | ETA 05:03:05 2020-12-17 15:24:00 [INFO] [TRAIN] epoch=4, iter=2530/40000, loss=0.8315, lr=0.009429, batch_cost=0.5217, reader_cost=0.0008 | ETA 05:25:48 2020-12-17 15:24:04 [INFO] [TRAIN] epoch=4, iter=2540/40000, loss=0.6480, lr=0.009427, batch_cost=0.4844, reader_cost=0.0001 | ETA 05:02:24 2020-12-17 15:24:09 [INFO] [TRAIN] epoch=4, iter=2550/40000, loss=0.7475, lr=0.009425, batch_cost=0.4818, reader_cost=0.0001 | ETA 05:00:42 2020-12-17 15:24:14 [INFO] [TRAIN] epoch=4, iter=2560/40000, loss=0.5019, lr=0.009422, batch_cost=0.4960, reader_cost=0.0001 | ETA 05:09:29 2020-12-17 15:24:19 [INFO] [TRAIN] epoch=4, iter=2570/40000, loss=0.6365, lr=0.009420, batch_cost=0.4893, reader_cost=0.0004 | ETA 05:05:14 2020-12-17 15:24:24 [INFO] [TRAIN] epoch=4, iter=2580/40000, loss=0.9695, lr=0.009418, batch_cost=0.4835, reader_cost=0.0001 | ETA 05:01:31 2020-12-17 15:24:29 [INFO] [TRAIN] epoch=4, iter=2590/40000, loss=0.6829, lr=0.009416, batch_cost=0.4818, reader_cost=0.0001 | ETA 05:00:23 2020-12-17 15:24:34 [INFO] [TRAIN] epoch=4, iter=2600/40000, loss=0.5436, lr=0.009413, batch_cost=0.4851, reader_cost=0.0001 | ETA 05:02:22 2020-12-17 15:24:39 [INFO] [TRAIN] epoch=4, iter=2610/40000, loss=0.6049, lr=0.009411, batch_cost=0.5517, reader_cost=0.0001 | ETA 05:43:46 2020-12-17 15:24:44 [INFO] [TRAIN] epoch=4, iter=2620/40000, loss=0.7295, lr=0.009409, batch_cost=0.4863, reader_cost=0.0001 | ETA 05:02:57 2020-12-17 15:24:49 [INFO] [TRAIN] epoch=4, iter=2630/40000, loss=0.7714, lr=0.009406, batch_cost=0.4665, reader_cost=0.0001 | ETA 04:50:31 2020-12-17 15:24:53 [INFO] [TRAIN] epoch=4, iter=2640/40000, loss=0.5857, lr=0.009404, batch_cost=0.4754, reader_cost=0.0001 | ETA 04:56:01 2020-12-17 15:24:58 [INFO] [TRAIN] epoch=5, iter=2650/40000, loss=0.6937, lr=0.009402, batch_cost=0.4692, reader_cost=0.0235 | ETA 04:52:03 2020-12-17 15:25:03 [INFO] [TRAIN] epoch=5, iter=2660/40000, loss=0.5466, lr=0.009400, batch_cost=0.4827, reader_cost=0.0001 | ETA 05:00:24 2020-12-17 15:25:08 [INFO] [TRAIN] epoch=5, iter=2670/40000, loss=0.5620, lr=0.009397, batch_cost=0.4849, reader_cost=0.0001 | ETA 05:01:42 2020-12-17 15:25:13 [INFO] [TRAIN] epoch=5, iter=2680/40000, loss=0.7000, lr=0.009395, batch_cost=0.5047, reader_cost=0.0001 | ETA 05:13:54 2020-12-17 15:25:18 [INFO] [TRAIN] epoch=5, iter=2690/40000, loss=0.6611, lr=0.009393, batch_cost=0.5212, reader_cost=0.0001 | ETA 05:24:06 2020-12-17 15:25:23 [INFO] [TRAIN] epoch=5, iter=2700/40000, loss=0.6262, lr=0.009391, batch_cost=0.5083, reader_cost=0.0001 | ETA 05:15:58 2020-12-17 15:25:28 [INFO] [TRAIN] epoch=5, iter=2710/40000, loss=0.7049, lr=0.009388, batch_cost=0.4777, reader_cost=0.0001 | ETA 04:56:54 2020-12-17 15:25:33 [INFO] [TRAIN] epoch=5, iter=2720/40000, loss=0.6268, lr=0.009386, batch_cost=0.5009, reader_cost=0.0001 | ETA 05:11:13 2020-12-17 15:25:38 [INFO] [TRAIN] epoch=5, iter=2730/40000, loss=0.4958, lr=0.009384, batch_cost=0.4953, reader_cost=0.0001 | ETA 05:07:38 2020-12-17 15:25:43 [INFO] [TRAIN] epoch=5, iter=2740/40000, loss=0.6195, lr=0.009382, batch_cost=0.5189, reader_cost=0.0001 | ETA 05:22:14 2020-12-17 15:25:48 [INFO] [TRAIN] epoch=5, iter=2750/40000, loss=0.6126, lr=0.009379, batch_cost=0.5003, reader_cost=0.0001 | ETA 05:10:36 2020-12-17 15:25:53 [INFO] [TRAIN] epoch=5, iter=2760/40000, loss=0.5811, lr=0.009377, batch_cost=0.4802, reader_cost=0.0001 | ETA 04:58:04 2020-12-17 15:25:58 [INFO] [TRAIN] epoch=5, iter=2770/40000, loss=0.6860, lr=0.009375, batch_cost=0.4828, reader_cost=0.0001 | ETA 04:59:33 2020-12-17 15:26:03 [INFO] [TRAIN] epoch=5, iter=2780/40000, loss=0.6063, lr=0.009372, batch_cost=0.4984, reader_cost=0.0001 | ETA 05:09:10 2020-12-17 15:26:08 [INFO] [TRAIN] epoch=5, iter=2790/40000, loss=0.5342, lr=0.009370, batch_cost=0.5121, reader_cost=0.0003 | ETA 05:17:33 2020-12-17 15:26:13 [INFO] [TRAIN] epoch=5, iter=2800/40000, loss=0.5716, lr=0.009368, batch_cost=0.5108, reader_cost=0.0001 | ETA 05:16:40 2020-12-17 15:26:18 [INFO] [TRAIN] epoch=5, iter=2810/40000, loss=0.7818, lr=0.009366, batch_cost=0.5046, reader_cost=0.0001 | ETA 05:12:44 2020-12-17 15:26:23 [INFO] [TRAIN] epoch=5, iter=2820/40000, loss=0.5540, lr=0.009363, batch_cost=0.4802, reader_cost=0.0001 | ETA 04:57:35 2020-12-17 15:26:28 [INFO] [TRAIN] epoch=5, iter=2830/40000, loss=0.5509, lr=0.009361, batch_cost=0.4844, reader_cost=0.0001 | ETA 05:00:06 2020-12-17 15:26:33 [INFO] [TRAIN] epoch=5, iter=2840/40000, loss=0.6685, lr=0.009359, batch_cost=0.4946, reader_cost=0.0005 | ETA 05:06:18 2020-12-17 15:26:37 [INFO] [TRAIN] epoch=5, iter=2850/40000, loss=0.4960, lr=0.009357, batch_cost=0.4865, reader_cost=0.0001 | ETA 05:01:14 2020-12-17 15:26:42 [INFO] [TRAIN] epoch=5, iter=2860/40000, loss=0.6235, lr=0.009354, batch_cost=0.4886, reader_cost=0.0001 | ETA 05:02:25 2020-12-17 15:26:47 [INFO] [TRAIN] epoch=5, iter=2870/40000, loss=0.5519, lr=0.009352, batch_cost=0.4937, reader_cost=0.0001 | ETA 05:05:29 2020-12-17 15:26:53 [INFO] [TRAIN] epoch=5, iter=2880/40000, loss=0.8647, lr=0.009350, batch_cost=0.5261, reader_cost=0.0001 | ETA 05:25:30 2020-12-17 15:26:57 [INFO] [TRAIN] epoch=5, iter=2890/40000, loss=0.6240, lr=0.009348, batch_cost=0.4923, reader_cost=0.0001 | ETA 05:04:30 2020-12-17 15:27:02 [INFO] [TRAIN] epoch=5, iter=2900/40000, loss=0.6414, lr=0.009345, batch_cost=0.4845, reader_cost=0.0001 | ETA 04:59:35 2020-12-17 15:27:07 [INFO] [TRAIN] epoch=5, iter=2910/40000, loss=0.4425, lr=0.009343, batch_cost=0.5025, reader_cost=0.0004 | ETA 05:10:36 2020-12-17 15:27:12 [INFO] [TRAIN] epoch=5, iter=2920/40000, loss=0.5744, lr=0.009341, batch_cost=0.4888, reader_cost=0.0001 | ETA 05:02:05 2020-12-17 15:27:17 [INFO] [TRAIN] epoch=5, iter=2930/40000, loss=0.6730, lr=0.009338, batch_cost=0.4787, reader_cost=0.0001 | ETA 04:55:45 2020-12-17 15:27:22 [INFO] [TRAIN] epoch=5, iter=2940/40000, loss=0.4758, lr=0.009336, batch_cost=0.4870, reader_cost=0.0001 | ETA 05:00:47 2020-12-17 15:27:27 [INFO] [TRAIN] epoch=5, iter=2950/40000, loss=0.6397, lr=0.009334, batch_cost=0.4805, reader_cost=0.0001 | ETA 04:56:42 2020-12-17 15:27:32 [INFO] [TRAIN] epoch=5, iter=2960/40000, loss=0.4653, lr=0.009332, batch_cost=0.5464, reader_cost=0.0001 | ETA 05:37:19 2020-12-17 15:27:37 [INFO] [TRAIN] epoch=5, iter=2970/40000, loss=0.6177, lr=0.009329, batch_cost=0.4847, reader_cost=0.0001 | ETA 04:59:10 2020-12-17 15:27:42 [INFO] [TRAIN] epoch=5, iter=2980/40000, loss=0.5974, lr=0.009327, batch_cost=0.4959, reader_cost=0.0003 | ETA 05:05:57 2020-12-17 15:27:47 [INFO] [TRAIN] epoch=5, iter=2990/40000, loss=0.3978, lr=0.009325, batch_cost=0.4729, reader_cost=0.0001 | ETA 04:51:40 2020-12-17 15:27:51 [INFO] [TRAIN] epoch=5, iter=3000/40000, loss=0.4917, lr=0.009323, batch_cost=0.4809, reader_cost=0.0001 | ETA 04:56:32 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:27:52 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 15:28:10 [INFO] [EVAL] #Images=1449 mIoU=0.6927 Acc=0.9265 Kappa=0.8363 2020-12-17 15:28:10 [INFO] [EVAL] Class IoU: [0.9239 0.8633 0.3671 0.8008 0.6671 0.7391 0.83 0.7968 0.8174 0.3032 0.7432 0.5799 0.7733 0.7591 0.7449 0.7976 0.5033 0.6963 0.4459 0.7983 0.5957] 2020-12-17 15:28:10 [INFO] [EVAL] Class Acc: [0.9536 0.9271 0.3832 0.9073 0.8337 0.8168 0.8823 0.951 0.9689 0.5116 0.8818 0.9113 0.8337 0.8568 0.9209 0.9484 0.7593 0.8403 0.533 0.9362 0.8501] 2020-12-17 15:28:16 [INFO] [EVAL] The model with the best validation mIoU (0.6927) was saved at iter 3000. 2020-12-17 15:28:21 [INFO] [TRAIN] epoch=5, iter=3010/40000, loss=0.5532, lr=0.009320, batch_cost=0.4833, reader_cost=0.0001 | ETA 04:57:58 2020-12-17 15:28:26 [INFO] [TRAIN] epoch=5, iter=3020/40000, loss=0.4380, lr=0.009318, batch_cost=0.4893, reader_cost=0.0001 | ETA 05:01:34 2020-12-17 15:28:31 [INFO] [TRAIN] epoch=5, iter=3030/40000, loss=0.5601, lr=0.009316, batch_cost=0.4739, reader_cost=0.0001 | ETA 04:52:00 2020-12-17 15:28:35 [INFO] [TRAIN] epoch=5, iter=3040/40000, loss=0.7057, lr=0.009314, batch_cost=0.4894, reader_cost=0.0001 | ETA 05:01:29 2020-12-17 15:28:40 [INFO] [TRAIN] epoch=5, iter=3050/40000, loss=0.9000, lr=0.009311, batch_cost=0.4930, reader_cost=0.0001 | ETA 05:03:37 2020-12-17 15:28:45 [INFO] [TRAIN] epoch=5, iter=3060/40000, loss=0.6923, lr=0.009309, batch_cost=0.5061, reader_cost=0.0001 | ETA 05:11:34 2020-12-17 15:28:50 [INFO] [TRAIN] epoch=5, iter=3070/40000, loss=0.9197, lr=0.009307, batch_cost=0.5006, reader_cost=0.0001 | ETA 05:08:06 2020-12-17 15:28:55 [INFO] [TRAIN] epoch=5, iter=3080/40000, loss=0.8646, lr=0.009304, batch_cost=0.4777, reader_cost=0.0001 | ETA 04:53:57 2020-12-17 15:29:00 [INFO] [TRAIN] epoch=5, iter=3090/40000, loss=0.6077, lr=0.009302, batch_cost=0.5072, reader_cost=0.0001 | ETA 05:12:01 2020-12-17 15:29:05 [INFO] [TRAIN] epoch=5, iter=3100/40000, loss=0.5342, lr=0.009300, batch_cost=0.4990, reader_cost=0.0001 | ETA 05:06:53 2020-12-17 15:29:10 [INFO] [TRAIN] epoch=5, iter=3110/40000, loss=0.6226, lr=0.009298, batch_cost=0.4881, reader_cost=0.0001 | ETA 05:00:05 2020-12-17 15:29:15 [INFO] [TRAIN] epoch=5, iter=3120/40000, loss=0.8734, lr=0.009295, batch_cost=0.4979, reader_cost=0.0004 | ETA 05:06:01 2020-12-17 15:29:20 [INFO] [TRAIN] epoch=5, iter=3130/40000, loss=0.8065, lr=0.009293, batch_cost=0.4754, reader_cost=0.0001 | ETA 04:52:06 2020-12-17 15:29:25 [INFO] [TRAIN] epoch=5, iter=3140/40000, loss=0.7231, lr=0.009291, batch_cost=0.4852, reader_cost=0.0001 | ETA 04:58:04 2020-12-17 15:29:30 [INFO] [TRAIN] epoch=5, iter=3150/40000, loss=0.7609, lr=0.009289, batch_cost=0.4845, reader_cost=0.0001 | ETA 04:57:33 2020-12-17 15:29:34 [INFO] [TRAIN] epoch=5, iter=3160/40000, loss=0.7775, lr=0.009286, batch_cost=0.4838, reader_cost=0.0001 | ETA 04:57:02 2020-12-17 15:29:39 [INFO] [TRAIN] epoch=5, iter=3170/40000, loss=0.8013, lr=0.009284, batch_cost=0.4922, reader_cost=0.0001 | ETA 05:02:07 2020-12-17 15:29:45 [INFO] [TRAIN] epoch=5, iter=3180/40000, loss=0.4561, lr=0.009282, batch_cost=0.5247, reader_cost=0.0001 | ETA 05:22:00 2020-12-17 15:29:50 [INFO] [TRAIN] epoch=5, iter=3190/40000, loss=0.7488, lr=0.009280, batch_cost=0.4891, reader_cost=0.0001 | ETA 05:00:04 2020-12-17 15:29:54 [INFO] [TRAIN] epoch=5, iter=3200/40000, loss=0.6838, lr=0.009277, batch_cost=0.4789, reader_cost=0.0001 | ETA 04:53:43 2020-12-17 15:29:59 [INFO] [TRAIN] epoch=5, iter=3210/40000, loss=0.7141, lr=0.009275, batch_cost=0.4885, reader_cost=0.0001 | ETA 04:59:30 2020-12-17 15:30:04 [INFO] [TRAIN] epoch=5, iter=3220/40000, loss=0.9579, lr=0.009273, batch_cost=0.4879, reader_cost=0.0001 | ETA 04:59:05 2020-12-17 15:30:09 [INFO] [TRAIN] epoch=5, iter=3230/40000, loss=0.4695, lr=0.009270, batch_cost=0.4915, reader_cost=0.0001 | ETA 05:01:12 2020-12-17 15:30:14 [INFO] [TRAIN] epoch=5, iter=3240/40000, loss=0.6858, lr=0.009268, batch_cost=0.4857, reader_cost=0.0001 | ETA 04:57:35 2020-12-17 15:30:19 [INFO] [TRAIN] epoch=5, iter=3250/40000, loss=0.5612, lr=0.009266, batch_cost=0.5032, reader_cost=0.0001 | ETA 05:08:12 2020-12-17 15:30:25 [INFO] [TRAIN] epoch=5, iter=3260/40000, loss=0.5441, lr=0.009264, batch_cost=0.5839, reader_cost=0.0001 | ETA 05:57:31 2020-12-17 15:30:30 [INFO] [TRAIN] epoch=5, iter=3270/40000, loss=0.6019, lr=0.009261, batch_cost=0.4885, reader_cost=0.0001 | ETA 04:59:02 2020-12-17 15:30:35 [INFO] [TRAIN] epoch=5, iter=3280/40000, loss=0.9960, lr=0.009259, batch_cost=0.4933, reader_cost=0.0001 | ETA 05:01:53 2020-12-17 15:30:39 [INFO] [TRAIN] epoch=5, iter=3290/40000, loss=0.8882, lr=0.009257, batch_cost=0.4892, reader_cost=0.0001 | ETA 04:59:18 2020-12-17 15:30:44 [INFO] [TRAIN] epoch=5, iter=3300/40000, loss=0.5211, lr=0.009255, batch_cost=0.4974, reader_cost=0.0001 | ETA 05:04:16 2020-12-17 15:30:49 [INFO] [TRAIN] epoch=6, iter=3310/40000, loss=0.5708, lr=0.009252, batch_cost=0.4786, reader_cost=0.0297 | ETA 04:52:41 2020-12-17 15:30:54 [INFO] [TRAIN] epoch=6, iter=3320/40000, loss=0.7185, lr=0.009250, batch_cost=0.4923, reader_cost=0.0001 | ETA 05:00:55 2020-12-17 15:30:59 [INFO] [TRAIN] epoch=6, iter=3330/40000, loss=0.5565, lr=0.009248, batch_cost=0.4860, reader_cost=0.0001 | ETA 04:57:00 2020-12-17 15:31:04 [INFO] [TRAIN] epoch=6, iter=3340/40000, loss=0.4467, lr=0.009245, batch_cost=0.4772, reader_cost=0.0001 | ETA 04:51:32 2020-12-17 15:31:09 [INFO] [TRAIN] epoch=6, iter=3350/40000, loss=0.6774, lr=0.009243, batch_cost=0.4813, reader_cost=0.0001 | ETA 04:53:57 2020-12-17 15:31:14 [INFO] [TRAIN] epoch=6, iter=3360/40000, loss=0.4959, lr=0.009241, batch_cost=0.5007, reader_cost=0.0003 | ETA 05:05:45 2020-12-17 15:31:18 [INFO] [TRAIN] epoch=6, iter=3370/40000, loss=0.7474, lr=0.009239, batch_cost=0.4776, reader_cost=0.0001 | ETA 04:51:34 2020-12-17 15:31:23 [INFO] [TRAIN] epoch=6, iter=3380/40000, loss=0.6103, lr=0.009236, batch_cost=0.4852, reader_cost=0.0001 | ETA 04:56:08 2020-12-17 15:31:28 [INFO] [TRAIN] epoch=6, iter=3390/40000, loss=0.7336, lr=0.009234, batch_cost=0.5176, reader_cost=0.0001 | ETA 05:15:49 2020-12-17 15:31:33 [INFO] [TRAIN] epoch=6, iter=3400/40000, loss=0.3896, lr=0.009232, batch_cost=0.5071, reader_cost=0.0001 | ETA 05:09:20 2020-12-17 15:31:38 [INFO] [TRAIN] epoch=6, iter=3410/40000, loss=0.4589, lr=0.009230, batch_cost=0.5031, reader_cost=0.0001 | ETA 05:06:47 2020-12-17 15:31:43 [INFO] [TRAIN] epoch=6, iter=3420/40000, loss=0.6811, lr=0.009227, batch_cost=0.5007, reader_cost=0.0001 | ETA 05:05:15 2020-12-17 15:31:48 [INFO] [TRAIN] epoch=6, iter=3430/40000, loss=0.4716, lr=0.009225, batch_cost=0.4858, reader_cost=0.0001 | ETA 04:56:06 2020-12-17 15:31:53 [INFO] [TRAIN] epoch=6, iter=3440/40000, loss=0.7452, lr=0.009223, batch_cost=0.5031, reader_cost=0.0001 | ETA 05:06:31 2020-12-17 15:31:59 [INFO] [TRAIN] epoch=6, iter=3450/40000, loss=0.5066, lr=0.009221, batch_cost=0.5178, reader_cost=0.0001 | ETA 05:15:26 2020-12-17 15:32:03 [INFO] [TRAIN] epoch=6, iter=3460/40000, loss=0.7247, lr=0.009218, batch_cost=0.4857, reader_cost=0.0001 | ETA 04:55:47 2020-12-17 15:32:08 [INFO] [TRAIN] epoch=6, iter=3470/40000, loss=0.6431, lr=0.009216, batch_cost=0.4797, reader_cost=0.0001 | ETA 04:52:04 2020-12-17 15:32:13 [INFO] [TRAIN] epoch=6, iter=3480/40000, loss=0.4877, lr=0.009214, batch_cost=0.4821, reader_cost=0.0001 | ETA 04:53:28 2020-12-17 15:32:18 [INFO] [TRAIN] epoch=6, iter=3490/40000, loss=0.5166, lr=0.009211, batch_cost=0.5112, reader_cost=0.0001 | ETA 05:11:03 2020-12-17 15:32:23 [INFO] [TRAIN] epoch=6, iter=3500/40000, loss=0.6966, lr=0.009209, batch_cost=0.5163, reader_cost=0.0001 | ETA 05:14:05 2020-12-17 15:32:28 [INFO] [TRAIN] epoch=6, iter=3510/40000, loss=0.5314, lr=0.009207, batch_cost=0.5175, reader_cost=0.0001 | ETA 05:14:43 2020-12-17 15:32:33 [INFO] [TRAIN] epoch=6, iter=3520/40000, loss=0.3880, lr=0.009205, batch_cost=0.5018, reader_cost=0.0001 | ETA 05:05:05 2020-12-17 15:32:38 [INFO] [TRAIN] epoch=6, iter=3530/40000, loss=0.4114, lr=0.009202, batch_cost=0.4773, reader_cost=0.0001 | ETA 04:50:05 2020-12-17 15:32:43 [INFO] [TRAIN] epoch=6, iter=3540/40000, loss=0.4787, lr=0.009200, batch_cost=0.5228, reader_cost=0.0001 | ETA 05:17:40 2020-12-17 15:32:49 [INFO] [TRAIN] epoch=6, iter=3550/40000, loss=0.5979, lr=0.009198, batch_cost=0.5019, reader_cost=0.0001 | ETA 05:04:55 2020-12-17 15:32:53 [INFO] [TRAIN] epoch=6, iter=3560/40000, loss=0.7613, lr=0.009196, batch_cost=0.4847, reader_cost=0.0001 | ETA 04:54:22 2020-12-17 15:32:58 [INFO] [TRAIN] epoch=6, iter=3570/40000, loss=0.5000, lr=0.009193, batch_cost=0.4947, reader_cost=0.0001 | ETA 05:00:23 2020-12-17 15:33:03 [INFO] [TRAIN] epoch=6, iter=3580/40000, loss=0.6670, lr=0.009191, batch_cost=0.4826, reader_cost=0.0001 | ETA 04:52:56 2020-12-17 15:33:08 [INFO] [TRAIN] epoch=6, iter=3590/40000, loss=0.5499, lr=0.009189, batch_cost=0.4710, reader_cost=0.0001 | ETA 04:45:47 2020-12-17 15:33:13 [INFO] [TRAIN] epoch=6, iter=3600/40000, loss=0.7019, lr=0.009186, batch_cost=0.4810, reader_cost=0.0001 | ETA 04:51:47 2020-12-17 15:33:18 [INFO] [TRAIN] epoch=6, iter=3610/40000, loss=0.7458, lr=0.009184, batch_cost=0.5208, reader_cost=0.0001 | ETA 05:15:51 2020-12-17 15:33:24 [INFO] [TRAIN] epoch=6, iter=3620/40000, loss=0.8731, lr=0.009182, batch_cost=0.5797, reader_cost=0.0001 | ETA 05:51:28 2020-12-17 15:33:29 [INFO] [TRAIN] epoch=6, iter=3630/40000, loss=0.5544, lr=0.009180, batch_cost=0.4991, reader_cost=0.0001 | ETA 05:02:30 2020-12-17 15:33:34 [INFO] [TRAIN] epoch=6, iter=3640/40000, loss=1.0842, lr=0.009177, batch_cost=0.4978, reader_cost=0.0001 | ETA 05:01:39 2020-12-17 15:33:39 [INFO] [TRAIN] epoch=6, iter=3650/40000, loss=0.4744, lr=0.009175, batch_cost=0.4897, reader_cost=0.0001 | ETA 04:56:41 2020-12-17 15:33:43 [INFO] [TRAIN] epoch=6, iter=3660/40000, loss=0.8250, lr=0.009173, batch_cost=0.4817, reader_cost=0.0001 | ETA 04:51:46 2020-12-17 15:33:52 [INFO] [TRAIN] epoch=6, iter=3670/40000, loss=0.4884, lr=0.009171, batch_cost=0.8535, reader_cost=0.0104 | ETA 08:36:49 2020-12-17 15:33:57 [INFO] [TRAIN] epoch=6, iter=3680/40000, loss=0.5401, lr=0.009168, batch_cost=0.4947, reader_cost=0.0001 | ETA 04:59:26 2020-12-17 15:34:02 [INFO] [TRAIN] epoch=6, iter=3690/40000, loss=0.6083, lr=0.009166, batch_cost=0.4825, reader_cost=0.0001 | ETA 04:51:59 2020-12-17 15:34:10 [INFO] [TRAIN] epoch=6, iter=3700/40000, loss=0.6743, lr=0.009164, batch_cost=0.7956, reader_cost=0.0097 | ETA 08:01:21 2020-12-17 15:34:14 [INFO] [TRAIN] epoch=6, iter=3710/40000, loss=0.6204, lr=0.009161, batch_cost=0.4797, reader_cost=0.0001 | ETA 04:50:10 2020-12-17 15:34:19 [INFO] [TRAIN] epoch=6, iter=3720/40000, loss=0.5943, lr=0.009159, batch_cost=0.4829, reader_cost=0.0001 | ETA 04:51:59 2020-12-17 15:34:27 [INFO] [TRAIN] epoch=6, iter=3730/40000, loss=0.4696, lr=0.009157, batch_cost=0.7594, reader_cost=0.0001 | ETA 07:39:02 2020-12-17 15:34:32 [INFO] [TRAIN] epoch=6, iter=3740/40000, loss=0.8085, lr=0.009155, batch_cost=0.5318, reader_cost=0.0001 | ETA 05:21:23 2020-12-17 15:34:37 [INFO] [TRAIN] epoch=6, iter=3750/40000, loss=0.6424, lr=0.009152, batch_cost=0.4932, reader_cost=0.0001 | ETA 04:57:57 2020-12-17 15:34:42 [INFO] [TRAIN] epoch=6, iter=3760/40000, loss=0.5320, lr=0.009150, batch_cost=0.4945, reader_cost=0.0001 | ETA 04:58:41 2020-12-17 15:34:51 [INFO] [TRAIN] epoch=6, iter=3770/40000, loss=0.8606, lr=0.009148, batch_cost=0.9386, reader_cost=0.0073 | ETA 09:26:45 2020-12-17 15:35:03 [INFO] [TRAIN] epoch=6, iter=3780/40000, loss=0.7340, lr=0.009146, batch_cost=1.1633, reader_cost=0.0043 | ETA 11:42:15 2020-12-17 15:35:14 [INFO] [TRAIN] epoch=6, iter=3790/40000, loss=0.8306, lr=0.009143, batch_cost=1.0732, reader_cost=0.0110 | ETA 10:47:39 2020-12-17 15:35:20 [INFO] [TRAIN] epoch=6, iter=3800/40000, loss=0.4777, lr=0.009141, batch_cost=0.6002, reader_cost=0.0001 | ETA 06:02:05 2020-12-17 15:35:27 [INFO] [TRAIN] epoch=6, iter=3810/40000, loss=0.5666, lr=0.009139, batch_cost=0.6923, reader_cost=0.0001 | ETA 06:57:32 2020-12-17 15:35:36 [INFO] [TRAIN] epoch=6, iter=3820/40000, loss=0.8149, lr=0.009136, batch_cost=0.9295, reader_cost=0.0025 | ETA 09:20:29 2020-12-17 15:35:47 [INFO] [TRAIN] epoch=6, iter=3830/40000, loss=0.5850, lr=0.009134, batch_cost=1.1363, reader_cost=0.0069 | ETA 11:24:59 2020-12-17 15:35:54 [INFO] [TRAIN] epoch=6, iter=3840/40000, loss=0.6179, lr=0.009132, batch_cost=0.6880, reader_cost=0.0047 | ETA 06:54:37 2020-12-17 15:36:00 [INFO] [TRAIN] epoch=6, iter=3850/40000, loss=0.6016, lr=0.009130, batch_cost=0.5886, reader_cost=0.0004 | ETA 05:54:36 2020-12-17 15:36:12 [INFO] [TRAIN] epoch=6, iter=3860/40000, loss=0.5507, lr=0.009127, batch_cost=1.1780, reader_cost=0.0080 | ETA 11:49:33 2020-12-17 15:36:21 [INFO] [TRAIN] epoch=6, iter=3870/40000, loss=0.6701, lr=0.009125, batch_cost=0.8791, reader_cost=0.0006 | ETA 08:49:22 2020-12-17 15:36:29 [INFO] [TRAIN] epoch=6, iter=3880/40000, loss=0.5100, lr=0.009123, batch_cost=0.8043, reader_cost=0.0021 | ETA 08:04:10 2020-12-17 15:36:37 [INFO] [TRAIN] epoch=6, iter=3890/40000, loss=0.7138, lr=0.009121, batch_cost=0.7918, reader_cost=0.0004 | ETA 07:56:31 2020-12-17 15:36:42 [INFO] [TRAIN] epoch=6, iter=3900/40000, loss=0.6271, lr=0.009118, batch_cost=0.4934, reader_cost=0.0001 | ETA 04:56:50 2020-12-17 15:36:47 [INFO] [TRAIN] epoch=6, iter=3910/40000, loss=0.7424, lr=0.009116, batch_cost=0.4937, reader_cost=0.0001 | ETA 04:56:57 2020-12-17 15:36:55 [INFO] [TRAIN] epoch=6, iter=3920/40000, loss=0.5860, lr=0.009114, batch_cost=0.8378, reader_cost=0.0001 | ETA 08:23:48 2020-12-17 15:37:01 [INFO] [TRAIN] epoch=6, iter=3930/40000, loss=0.8374, lr=0.009111, batch_cost=0.5556, reader_cost=0.0083 | ETA 05:34:00 2020-12-17 15:37:06 [INFO] [TRAIN] epoch=6, iter=3940/40000, loss=0.6213, lr=0.009109, batch_cost=0.5359, reader_cost=0.0001 | ETA 05:22:04 2020-12-17 15:37:12 [INFO] [TRAIN] epoch=6, iter=3950/40000, loss=0.5089, lr=0.009107, batch_cost=0.5806, reader_cost=0.0001 | ETA 05:48:49 2020-12-17 15:37:16 [INFO] [TRAIN] epoch=6, iter=3960/40000, loss=0.4452, lr=0.009105, batch_cost=0.4732, reader_cost=0.0001 | ETA 04:44:12 2020-12-17 15:37:21 [INFO] [TRAIN] epoch=7, iter=3970/40000, loss=0.6929, lr=0.009102, batch_cost=0.4932, reader_cost=0.0278 | ETA 04:56:09 2020-12-17 15:37:26 [INFO] [TRAIN] epoch=7, iter=3980/40000, loss=0.5705, lr=0.009100, batch_cost=0.4722, reader_cost=0.0001 | ETA 04:43:28 2020-12-17 15:37:31 [INFO] [TRAIN] epoch=7, iter=3990/40000, loss=0.6249, lr=0.009098, batch_cost=0.4804, reader_cost=0.0001 | ETA 04:48:19 2020-12-17 15:37:36 [INFO] [TRAIN] epoch=7, iter=4000/40000, loss=0.5732, lr=0.009096, batch_cost=0.4791, reader_cost=0.0001 | ETA 04:47:28 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:37:36 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:38:00 [INFO] [EVAL] #Images=1449 mIoU=0.6683 Acc=0.9183 Kappa=0.8245 2020-12-17 15:38:00 [INFO] [EVAL] Class IoU: [0.9173 0.7473 0.3471 0.7437 0.6217 0.5965 0.7202 0.7947 0.8532 0.3133 0.7153 0.5606 0.7185 0.8048 0.6769 0.7674 0.5171 0.72 0.5021 0.7672 0.6298] 2020-12-17 15:38:00 [INFO] [EVAL] Class Acc: [0.9651 0.7616 0.3586 0.7722 0.683 0.949 0.9853 0.8941 0.907 0.4443 0.9288 0.782 0.7986 0.8795 0.9196 0.8103 0.6442 0.7876 0.6431 0.9231 0.7014] 2020-12-17 15:38:04 [INFO] [EVAL] The model with the best validation mIoU (0.6927) was saved at iter 3000. 2020-12-17 15:38:09 [INFO] [TRAIN] epoch=7, iter=4010/40000, loss=0.6391, lr=0.009093, batch_cost=0.4953, reader_cost=0.0004 | ETA 04:57:04 2020-12-17 15:38:14 [INFO] [TRAIN] epoch=7, iter=4020/40000, loss=0.4097, lr=0.009091, batch_cost=0.4921, reader_cost=0.0009 | ETA 04:55:04 2020-12-17 15:38:19 [INFO] [TRAIN] epoch=7, iter=4030/40000, loss=0.5163, lr=0.009089, batch_cost=0.4910, reader_cost=0.0001 | ETA 04:54:21 2020-12-17 15:38:23 [INFO] [TRAIN] epoch=7, iter=4040/40000, loss=0.5864, lr=0.009086, batch_cost=0.4702, reader_cost=0.0001 | ETA 04:41:47 2020-12-17 15:38:28 [INFO] [TRAIN] epoch=7, iter=4050/40000, loss=0.4612, lr=0.009084, batch_cost=0.4720, reader_cost=0.0001 | ETA 04:42:49 2020-12-17 15:38:33 [INFO] [TRAIN] epoch=7, iter=4060/40000, loss=0.5818, lr=0.009082, batch_cost=0.4761, reader_cost=0.0001 | ETA 04:45:11 2020-12-17 15:38:38 [INFO] [TRAIN] epoch=7, iter=4070/40000, loss=0.5633, lr=0.009080, batch_cost=0.4795, reader_cost=0.0001 | ETA 04:47:10 2020-12-17 15:38:43 [INFO] [TRAIN] epoch=7, iter=4080/40000, loss=0.5888, lr=0.009077, batch_cost=0.4926, reader_cost=0.0001 | ETA 04:54:55 2020-12-17 15:38:48 [INFO] [TRAIN] epoch=7, iter=4090/40000, loss=0.7290, lr=0.009075, batch_cost=0.5030, reader_cost=0.0007 | ETA 05:01:03 2020-12-17 15:38:53 [INFO] [TRAIN] epoch=7, iter=4100/40000, loss=0.5482, lr=0.009073, batch_cost=0.5462, reader_cost=0.0004 | ETA 05:26:47 2020-12-17 15:38:58 [INFO] [TRAIN] epoch=7, iter=4110/40000, loss=0.6852, lr=0.009071, batch_cost=0.5017, reader_cost=0.0032 | ETA 05:00:04 2020-12-17 15:39:03 [INFO] [TRAIN] epoch=7, iter=4120/40000, loss=0.5269, lr=0.009068, batch_cost=0.4887, reader_cost=0.0001 | ETA 04:52:13 2020-12-17 15:39:08 [INFO] [TRAIN] epoch=7, iter=4130/40000, loss=0.5650, lr=0.009066, batch_cost=0.4935, reader_cost=0.0001 | ETA 04:55:01 2020-12-17 15:39:13 [INFO] [TRAIN] epoch=7, iter=4140/40000, loss=0.7878, lr=0.009064, batch_cost=0.4952, reader_cost=0.0001 | ETA 04:55:59 2020-12-17 15:39:18 [INFO] [TRAIN] epoch=7, iter=4150/40000, loss=0.6694, lr=0.009061, batch_cost=0.4785, reader_cost=0.0001 | ETA 04:45:52 2020-12-17 15:39:22 [INFO] [TRAIN] epoch=7, iter=4160/40000, loss=0.6325, lr=0.009059, batch_cost=0.4742, reader_cost=0.0001 | ETA 04:43:14 2020-12-17 15:39:27 [INFO] [TRAIN] epoch=7, iter=4170/40000, loss=0.7478, lr=0.009057, batch_cost=0.4758, reader_cost=0.0001 | ETA 04:44:06 2020-12-17 15:39:32 [INFO] [TRAIN] epoch=7, iter=4180/40000, loss=0.5029, lr=0.009055, batch_cost=0.5211, reader_cost=0.0004 | ETA 05:11:06 2020-12-17 15:39:37 [INFO] [TRAIN] epoch=7, iter=4190/40000, loss=0.7204, lr=0.009052, batch_cost=0.4995, reader_cost=0.0001 | ETA 04:58:07 2020-12-17 15:39:43 [INFO] [TRAIN] epoch=7, iter=4200/40000, loss=0.5173, lr=0.009050, batch_cost=0.5619, reader_cost=0.0006 | ETA 05:35:14 2020-12-17 15:39:49 [INFO] [TRAIN] epoch=7, iter=4210/40000, loss=0.6005, lr=0.009048, batch_cost=0.5990, reader_cost=0.0003 | ETA 05:57:19 2020-12-17 15:39:54 [INFO] [TRAIN] epoch=7, iter=4220/40000, loss=0.5502, lr=0.009046, batch_cost=0.4692, reader_cost=0.0001 | ETA 04:39:46 2020-12-17 15:39:58 [INFO] [TRAIN] epoch=7, iter=4230/40000, loss=0.8957, lr=0.009043, batch_cost=0.4826, reader_cost=0.0001 | ETA 04:47:43 2020-12-17 15:40:03 [INFO] [TRAIN] epoch=7, iter=4240/40000, loss=0.5888, lr=0.009041, batch_cost=0.4775, reader_cost=0.0001 | ETA 04:44:35 2020-12-17 15:40:08 [INFO] [TRAIN] epoch=7, iter=4250/40000, loss=0.6744, lr=0.009039, batch_cost=0.4793, reader_cost=0.0001 | ETA 04:45:35 2020-12-17 15:40:13 [INFO] [TRAIN] epoch=7, iter=4260/40000, loss=0.4668, lr=0.009036, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:21:34 2020-12-17 15:40:18 [INFO] [TRAIN] epoch=7, iter=4270/40000, loss=0.6053, lr=0.009034, batch_cost=0.4774, reader_cost=0.0001 | ETA 04:44:16 2020-12-17 15:40:23 [INFO] [TRAIN] epoch=7, iter=4280/40000, loss=0.4446, lr=0.009032, batch_cost=0.4810, reader_cost=0.0001 | ETA 04:46:21 2020-12-17 15:40:28 [INFO] [TRAIN] epoch=7, iter=4290/40000, loss=0.6562, lr=0.009030, batch_cost=0.4893, reader_cost=0.0001 | ETA 04:51:11 2020-12-17 15:40:33 [INFO] [TRAIN] epoch=7, iter=4300/40000, loss=0.7432, lr=0.009027, batch_cost=0.5630, reader_cost=0.0058 | ETA 05:34:57 2020-12-17 15:40:40 [INFO] [TRAIN] epoch=7, iter=4310/40000, loss=0.6490, lr=0.009025, batch_cost=0.6065, reader_cost=0.0009 | ETA 06:00:46 2020-12-17 15:40:44 [INFO] [TRAIN] epoch=7, iter=4320/40000, loss=0.6768, lr=0.009023, batch_cost=0.4697, reader_cost=0.0001 | ETA 04:39:18 2020-12-17 15:40:49 [INFO] [TRAIN] epoch=7, iter=4330/40000, loss=0.6048, lr=0.009020, batch_cost=0.4777, reader_cost=0.0001 | ETA 04:44:00 2020-12-17 15:40:54 [INFO] [TRAIN] epoch=7, iter=4340/40000, loss=0.4310, lr=0.009018, batch_cost=0.4850, reader_cost=0.0001 | ETA 04:48:16 2020-12-17 15:40:59 [INFO] [TRAIN] epoch=7, iter=4350/40000, loss=0.5683, lr=0.009016, batch_cost=0.4814, reader_cost=0.0001 | ETA 04:46:03 2020-12-17 15:41:04 [INFO] [TRAIN] epoch=7, iter=4360/40000, loss=0.5446, lr=0.009014, batch_cost=0.5697, reader_cost=0.0001 | ETA 05:38:24 2020-12-17 15:41:09 [INFO] [TRAIN] epoch=7, iter=4370/40000, loss=0.4900, lr=0.009011, batch_cost=0.4809, reader_cost=0.0001 | ETA 04:45:34 2020-12-17 15:41:14 [INFO] [TRAIN] epoch=7, iter=4380/40000, loss=0.6432, lr=0.009009, batch_cost=0.4879, reader_cost=0.0001 | ETA 04:49:37 2020-12-17 15:41:19 [INFO] [TRAIN] epoch=7, iter=4390/40000, loss=0.4840, lr=0.009007, batch_cost=0.4800, reader_cost=0.0001 | ETA 04:44:51 2020-12-17 15:41:24 [INFO] [TRAIN] epoch=7, iter=4400/40000, loss=0.6270, lr=0.009005, batch_cost=0.4875, reader_cost=0.0001 | ETA 04:49:15 2020-12-17 15:41:29 [INFO] [TRAIN] epoch=7, iter=4410/40000, loss=0.6227, lr=0.009002, batch_cost=0.5621, reader_cost=0.0003 | ETA 05:33:25 2020-12-17 15:41:34 [INFO] [TRAIN] epoch=7, iter=4420/40000, loss=0.6686, lr=0.009000, batch_cost=0.4900, reader_cost=0.0001 | ETA 04:50:33 2020-12-17 15:41:39 [INFO] [TRAIN] epoch=7, iter=4430/40000, loss=0.4588, lr=0.008998, batch_cost=0.4749, reader_cost=0.0001 | ETA 04:41:33 2020-12-17 15:41:44 [INFO] [TRAIN] epoch=7, iter=4440/40000, loss=0.6374, lr=0.008995, batch_cost=0.5173, reader_cost=0.0001 | ETA 05:06:36 2020-12-17 15:41:55 [INFO] [TRAIN] epoch=7, iter=4450/40000, loss=0.6441, lr=0.008993, batch_cost=1.0494, reader_cost=0.0075 | ETA 10:21:45 2020-12-17 15:42:00 [INFO] [TRAIN] epoch=7, iter=4460/40000, loss=0.7155, lr=0.008991, batch_cost=0.5455, reader_cost=0.0002 | ETA 05:23:06 2020-12-17 15:42:05 [INFO] [TRAIN] epoch=7, iter=4470/40000, loss=0.5851, lr=0.008989, batch_cost=0.4695, reader_cost=0.0001 | ETA 04:38:00 2020-12-17 15:42:10 [INFO] [TRAIN] epoch=7, iter=4480/40000, loss=0.5030, lr=0.008986, batch_cost=0.4799, reader_cost=0.0001 | ETA 04:44:06 2020-12-17 15:42:15 [INFO] [TRAIN] epoch=7, iter=4490/40000, loss=0.5975, lr=0.008984, batch_cost=0.4856, reader_cost=0.0001 | ETA 04:47:24 2020-12-17 15:42:19 [INFO] [TRAIN] epoch=7, iter=4500/40000, loss=0.4869, lr=0.008982, batch_cost=0.4861, reader_cost=0.0001 | ETA 04:47:37 2020-12-17 15:42:24 [INFO] [TRAIN] epoch=7, iter=4510/40000, loss=0.5941, lr=0.008980, batch_cost=0.4909, reader_cost=0.0001 | ETA 04:50:20 2020-12-17 15:42:29 [INFO] [TRAIN] epoch=7, iter=4520/40000, loss=0.4349, lr=0.008977, batch_cost=0.4959, reader_cost=0.0001 | ETA 04:53:13 2020-12-17 15:42:34 [INFO] [TRAIN] epoch=7, iter=4530/40000, loss=0.5958, lr=0.008975, batch_cost=0.4963, reader_cost=0.0001 | ETA 04:53:25 2020-12-17 15:42:39 [INFO] [TRAIN] epoch=7, iter=4540/40000, loss=0.5681, lr=0.008973, batch_cost=0.4829, reader_cost=0.0001 | ETA 04:45:23 2020-12-17 15:42:48 [INFO] [TRAIN] epoch=7, iter=4550/40000, loss=0.4399, lr=0.008970, batch_cost=0.9295, reader_cost=0.0064 | ETA 09:09:10 2020-12-17 15:42:55 [INFO] [TRAIN] epoch=7, iter=4560/40000, loss=0.5128, lr=0.008968, batch_cost=0.6312, reader_cost=0.0011 | ETA 06:12:49 2020-12-17 15:43:00 [INFO] [TRAIN] epoch=7, iter=4570/40000, loss=0.6251, lr=0.008966, batch_cost=0.4839, reader_cost=0.0002 | ETA 04:45:44 2020-12-17 15:43:05 [INFO] [TRAIN] epoch=7, iter=4580/40000, loss=0.7224, lr=0.008964, batch_cost=0.5046, reader_cost=0.0001 | ETA 04:57:52 2020-12-17 15:43:09 [INFO] [TRAIN] epoch=7, iter=4590/40000, loss=0.6481, lr=0.008961, batch_cost=0.4804, reader_cost=0.0003 | ETA 04:43:31 2020-12-17 15:43:14 [INFO] [TRAIN] epoch=7, iter=4600/40000, loss=0.5688, lr=0.008959, batch_cost=0.4819, reader_cost=0.0001 | ETA 04:44:18 2020-12-17 15:43:20 [INFO] [TRAIN] epoch=7, iter=4610/40000, loss=0.8711, lr=0.008957, batch_cost=0.6125, reader_cost=0.0001 | ETA 06:01:16 2020-12-17 15:43:26 [INFO] [TRAIN] epoch=7, iter=4620/40000, loss=0.5034, lr=0.008954, batch_cost=0.5513, reader_cost=0.0001 | ETA 05:25:04 2020-12-17 15:43:31 [INFO] [TRAIN] epoch=8, iter=4630/40000, loss=0.6112, lr=0.008952, batch_cost=0.4888, reader_cost=0.0384 | ETA 04:48:09 2020-12-17 15:43:39 [INFO] [TRAIN] epoch=8, iter=4640/40000, loss=0.4788, lr=0.008950, batch_cost=0.8303, reader_cost=0.0279 | ETA 08:09:19 2020-12-17 15:43:44 [INFO] [TRAIN] epoch=8, iter=4650/40000, loss=0.4799, lr=0.008948, batch_cost=0.4869, reader_cost=0.0001 | ETA 04:46:53 2020-12-17 15:43:49 [INFO] [TRAIN] epoch=8, iter=4660/40000, loss=0.5577, lr=0.008945, batch_cost=0.4821, reader_cost=0.0001 | ETA 04:43:58 2020-12-17 15:43:54 [INFO] [TRAIN] epoch=8, iter=4670/40000, loss=0.5541, lr=0.008943, batch_cost=0.5681, reader_cost=0.0012 | ETA 05:34:32 2020-12-17 15:43:59 [INFO] [TRAIN] epoch=8, iter=4680/40000, loss=0.4726, lr=0.008941, batch_cost=0.4743, reader_cost=0.0001 | ETA 04:39:10 2020-12-17 15:44:04 [INFO] [TRAIN] epoch=8, iter=4690/40000, loss=0.5028, lr=0.008939, batch_cost=0.4834, reader_cost=0.0001 | ETA 04:44:30 2020-12-17 15:44:12 [INFO] [TRAIN] epoch=8, iter=4700/40000, loss=0.5456, lr=0.008936, batch_cost=0.7768, reader_cost=0.0235 | ETA 07:37:01 2020-12-17 15:44:17 [INFO] [TRAIN] epoch=8, iter=4710/40000, loss=0.6489, lr=0.008934, batch_cost=0.4776, reader_cost=0.0001 | ETA 04:40:55 2020-12-17 15:44:21 [INFO] [TRAIN] epoch=8, iter=4720/40000, loss=0.5397, lr=0.008932, batch_cost=0.4860, reader_cost=0.0001 | ETA 04:45:46 2020-12-17 15:44:27 [INFO] [TRAIN] epoch=8, iter=4730/40000, loss=0.4052, lr=0.008929, batch_cost=0.6045, reader_cost=0.0001 | ETA 05:55:19 2020-12-17 15:44:34 [INFO] [TRAIN] epoch=8, iter=4740/40000, loss=0.6334, lr=0.008927, batch_cost=0.6106, reader_cost=0.0001 | ETA 05:58:49 2020-12-17 15:44:40 [INFO] [TRAIN] epoch=8, iter=4750/40000, loss=0.5625, lr=0.008925, batch_cost=0.6941, reader_cost=0.0001 | ETA 06:47:46 2020-12-17 15:44:46 [INFO] [TRAIN] epoch=8, iter=4760/40000, loss=0.5083, lr=0.008923, batch_cost=0.5410, reader_cost=0.0005 | ETA 05:17:43 2020-12-17 15:44:51 [INFO] [TRAIN] epoch=8, iter=4770/40000, loss=0.4839, lr=0.008920, batch_cost=0.4856, reader_cost=0.0001 | ETA 04:45:09 2020-12-17 15:44:56 [INFO] [TRAIN] epoch=8, iter=4780/40000, loss=0.6187, lr=0.008918, batch_cost=0.4957, reader_cost=0.0001 | ETA 04:50:57 2020-12-17 15:45:01 [INFO] [TRAIN] epoch=8, iter=4790/40000, loss=0.4624, lr=0.008916, batch_cost=0.4889, reader_cost=0.0001 | ETA 04:46:54 2020-12-17 15:45:07 [INFO] [TRAIN] epoch=8, iter=4800/40000, loss=0.4041, lr=0.008913, batch_cost=0.5951, reader_cost=0.0079 | ETA 05:49:06 2020-12-17 15:45:11 [INFO] [TRAIN] epoch=8, iter=4810/40000, loss=0.5039, lr=0.008911, batch_cost=0.4733, reader_cost=0.0001 | ETA 04:37:33 2020-12-17 15:45:16 [INFO] [TRAIN] epoch=8, iter=4820/40000, loss=0.5923, lr=0.008909, batch_cost=0.4735, reader_cost=0.0001 | ETA 04:37:38 2020-12-17 15:45:21 [INFO] [TRAIN] epoch=8, iter=4830/40000, loss=0.5933, lr=0.008907, batch_cost=0.4773, reader_cost=0.0001 | ETA 04:39:45 2020-12-17 15:45:26 [INFO] [TRAIN] epoch=8, iter=4840/40000, loss=0.6222, lr=0.008904, batch_cost=0.4948, reader_cost=0.0001 | ETA 04:49:57 2020-12-17 15:45:31 [INFO] [TRAIN] epoch=8, iter=4850/40000, loss=0.5454, lr=0.008902, batch_cost=0.4923, reader_cost=0.0001 | ETA 04:48:25 2020-12-17 15:45:36 [INFO] [TRAIN] epoch=8, iter=4860/40000, loss=0.5114, lr=0.008900, batch_cost=0.4867, reader_cost=0.0001 | ETA 04:45:01 2020-12-17 15:45:41 [INFO] [TRAIN] epoch=8, iter=4870/40000, loss=0.5513, lr=0.008897, batch_cost=0.5019, reader_cost=0.0001 | ETA 04:53:51 2020-12-17 15:45:46 [INFO] [TRAIN] epoch=8, iter=4880/40000, loss=0.4408, lr=0.008895, batch_cost=0.5482, reader_cost=0.0002 | ETA 05:20:51 2020-12-17 15:45:51 [INFO] [TRAIN] epoch=8, iter=4890/40000, loss=0.5169, lr=0.008893, batch_cost=0.4972, reader_cost=0.0001 | ETA 04:50:57 2020-12-17 15:45:56 [INFO] [TRAIN] epoch=8, iter=4900/40000, loss=0.7370, lr=0.008891, batch_cost=0.4756, reader_cost=0.0001 | ETA 04:38:14 2020-12-17 15:46:01 [INFO] [TRAIN] epoch=8, iter=4910/40000, loss=0.4620, lr=0.008888, batch_cost=0.4836, reader_cost=0.0001 | ETA 04:42:47 2020-12-17 15:46:05 [INFO] [TRAIN] epoch=8, iter=4920/40000, loss=0.4083, lr=0.008886, batch_cost=0.4775, reader_cost=0.0001 | ETA 04:39:11 2020-12-17 15:46:10 [INFO] [TRAIN] epoch=8, iter=4930/40000, loss=0.6151, lr=0.008884, batch_cost=0.4803, reader_cost=0.0001 | ETA 04:40:44 2020-12-17 15:46:15 [INFO] [TRAIN] epoch=8, iter=4940/40000, loss=0.5086, lr=0.008882, batch_cost=0.4817, reader_cost=0.0001 | ETA 04:41:28 2020-12-17 15:46:20 [INFO] [TRAIN] epoch=8, iter=4950/40000, loss=0.5109, lr=0.008879, batch_cost=0.4672, reader_cost=0.0001 | ETA 04:32:56 2020-12-17 15:46:26 [INFO] [TRAIN] epoch=8, iter=4960/40000, loss=0.6721, lr=0.008877, batch_cost=0.6162, reader_cost=0.0010 | ETA 05:59:50 2020-12-17 15:46:31 [INFO] [TRAIN] epoch=8, iter=4970/40000, loss=0.5538, lr=0.008875, batch_cost=0.4980, reader_cost=0.0001 | ETA 04:50:45 2020-12-17 15:46:36 [INFO] [TRAIN] epoch=8, iter=4980/40000, loss=0.6064, lr=0.008872, batch_cost=0.4725, reader_cost=0.0001 | ETA 04:35:48 2020-12-17 15:46:41 [INFO] [TRAIN] epoch=8, iter=4990/40000, loss=0.4994, lr=0.008870, batch_cost=0.5301, reader_cost=0.0001 | ETA 05:09:17 2020-12-17 15:46:46 [INFO] [TRAIN] epoch=8, iter=5000/40000, loss=0.5989, lr=0.008868, batch_cost=0.4770, reader_cost=0.0001 | ETA 04:38:15 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:46:46 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:47:08 [INFO] [EVAL] #Images=1449 mIoU=0.6914 Acc=0.9260 Kappa=0.8424 2020-12-17 15:47:08 [INFO] [EVAL] Class IoU: [0.9257 0.8405 0.3815 0.7341 0.6396 0.7132 0.9188 0.8057 0.8214 0.308 0.6431 0.5469 0.7623 0.6809 0.7329 0.8271 0.5474 0.699 0.442 0.8722 0.6769] 2020-12-17 15:47:08 [INFO] [EVAL] Class Acc: [0.9735 0.8668 0.4068 0.8439 0.7598 0.7985 0.958 0.8943 0.8536 0.5027 0.9493 0.6399 0.8436 0.7008 0.7682 0.9069 0.7165 0.9576 0.5239 0.9341 0.7785] 2020-12-17 15:47:12 [INFO] [EVAL] The model with the best validation mIoU (0.6927) was saved at iter 3000. 2020-12-17 15:47:17 [INFO] [TRAIN] epoch=8, iter=5010/40000, loss=0.5690, lr=0.008866, batch_cost=0.5308, reader_cost=0.0080 | ETA 05:09:31 2020-12-17 15:47:22 [INFO] [TRAIN] epoch=8, iter=5020/40000, loss=0.5553, lr=0.008863, batch_cost=0.4739, reader_cost=0.0001 | ETA 04:36:18 2020-12-17 15:47:28 [INFO] [TRAIN] epoch=8, iter=5030/40000, loss=0.5128, lr=0.008861, batch_cost=0.6332, reader_cost=0.0001 | ETA 06:09:02 2020-12-17 15:47:33 [INFO] [TRAIN] epoch=8, iter=5040/40000, loss=0.4893, lr=0.008859, batch_cost=0.4823, reader_cost=0.0001 | ETA 04:41:00 2020-12-17 15:47:38 [INFO] [TRAIN] epoch=8, iter=5050/40000, loss=0.4451, lr=0.008856, batch_cost=0.4811, reader_cost=0.0001 | ETA 04:40:15 2020-12-17 15:47:43 [INFO] [TRAIN] epoch=8, iter=5060/40000, loss=0.3829, lr=0.008854, batch_cost=0.4783, reader_cost=0.0001 | ETA 04:38:33 2020-12-17 15:47:47 [INFO] [TRAIN] epoch=8, iter=5070/40000, loss=0.6347, lr=0.008852, batch_cost=0.4849, reader_cost=0.0001 | ETA 04:42:18 2020-12-17 15:47:53 [INFO] [TRAIN] epoch=8, iter=5080/40000, loss=0.6706, lr=0.008850, batch_cost=0.5086, reader_cost=0.0001 | ETA 04:55:59 2020-12-17 15:48:01 [INFO] [TRAIN] epoch=8, iter=5090/40000, loss=0.4692, lr=0.008847, batch_cost=0.8333, reader_cost=0.0001 | ETA 08:04:50 2020-12-17 15:48:06 [INFO] [TRAIN] epoch=8, iter=5100/40000, loss=0.5061, lr=0.008845, batch_cost=0.4840, reader_cost=0.0001 | ETA 04:41:30 2020-12-17 15:48:11 [INFO] [TRAIN] epoch=8, iter=5110/40000, loss=0.7923, lr=0.008843, batch_cost=0.4788, reader_cost=0.0001 | ETA 04:38:25 2020-12-17 15:48:15 [INFO] [TRAIN] epoch=8, iter=5120/40000, loss=0.3552, lr=0.008840, batch_cost=0.4710, reader_cost=0.0001 | ETA 04:33:49 2020-12-17 15:48:20 [INFO] [TRAIN] epoch=8, iter=5130/40000, loss=0.4965, lr=0.008838, batch_cost=0.4827, reader_cost=0.0001 | ETA 04:40:32 2020-12-17 15:48:25 [INFO] [TRAIN] epoch=8, iter=5140/40000, loss=0.4969, lr=0.008836, batch_cost=0.4803, reader_cost=0.0001 | ETA 04:39:04 2020-12-17 15:48:30 [INFO] [TRAIN] epoch=8, iter=5150/40000, loss=0.5854, lr=0.008834, batch_cost=0.4835, reader_cost=0.0001 | ETA 04:40:51 2020-12-17 15:48:35 [INFO] [TRAIN] epoch=8, iter=5160/40000, loss=0.5401, lr=0.008831, batch_cost=0.4816, reader_cost=0.0001 | ETA 04:39:38 2020-12-17 15:48:39 [INFO] [TRAIN] epoch=8, iter=5170/40000, loss=0.5059, lr=0.008829, batch_cost=0.4803, reader_cost=0.0001 | ETA 04:38:50 2020-12-17 15:48:46 [INFO] [TRAIN] epoch=8, iter=5180/40000, loss=0.5218, lr=0.008827, batch_cost=0.7028, reader_cost=0.0001 | ETA 06:47:52 2020-12-17 15:48:51 [INFO] [TRAIN] epoch=8, iter=5190/40000, loss=0.8073, lr=0.008825, batch_cost=0.4918, reader_cost=0.0001 | ETA 04:45:18 2020-12-17 15:48:56 [INFO] [TRAIN] epoch=8, iter=5200/40000, loss=0.5134, lr=0.008822, batch_cost=0.4738, reader_cost=0.0001 | ETA 04:34:47 2020-12-17 15:49:01 [INFO] [TRAIN] epoch=8, iter=5210/40000, loss=0.4195, lr=0.008820, batch_cost=0.4967, reader_cost=0.0001 | ETA 04:48:01 2020-12-17 15:49:06 [INFO] [TRAIN] epoch=8, iter=5220/40000, loss=0.4900, lr=0.008818, batch_cost=0.4899, reader_cost=0.0001 | ETA 04:43:58 2020-12-17 15:49:11 [INFO] [TRAIN] epoch=8, iter=5230/40000, loss=0.6071, lr=0.008815, batch_cost=0.4718, reader_cost=0.0001 | ETA 04:33:23 2020-12-17 15:49:15 [INFO] [TRAIN] epoch=8, iter=5240/40000, loss=0.8933, lr=0.008813, batch_cost=0.4766, reader_cost=0.0001 | ETA 04:36:05 2020-12-17 15:49:20 [INFO] [TRAIN] epoch=8, iter=5250/40000, loss=0.5471, lr=0.008811, batch_cost=0.4792, reader_cost=0.0001 | ETA 04:37:30 2020-12-17 15:49:25 [INFO] [TRAIN] epoch=8, iter=5260/40000, loss=0.4556, lr=0.008809, batch_cost=0.5147, reader_cost=0.0001 | ETA 04:58:01 2020-12-17 15:49:30 [INFO] [TRAIN] epoch=8, iter=5270/40000, loss=0.3832, lr=0.008806, batch_cost=0.4961, reader_cost=0.0001 | ETA 04:47:09 2020-12-17 15:49:35 [INFO] [TRAIN] epoch=8, iter=5280/40000, loss=0.5404, lr=0.008804, batch_cost=0.4930, reader_cost=0.0001 | ETA 04:45:18 2020-12-17 15:49:40 [INFO] [TRAIN] epoch=9, iter=5290/40000, loss=0.4106, lr=0.008802, batch_cost=0.4795, reader_cost=0.0317 | ETA 04:37:21 2020-12-17 15:49:45 [INFO] [TRAIN] epoch=9, iter=5300/40000, loss=0.7988, lr=0.008799, batch_cost=0.4681, reader_cost=0.0001 | ETA 04:30:42 2020-12-17 15:49:50 [INFO] [TRAIN] epoch=9, iter=5310/40000, loss=0.5112, lr=0.008797, batch_cost=0.4892, reader_cost=0.0001 | ETA 04:42:51 2020-12-17 15:49:55 [INFO] [TRAIN] epoch=9, iter=5320/40000, loss=0.6188, lr=0.008795, batch_cost=0.5207, reader_cost=0.0001 | ETA 05:00:57 2020-12-17 15:50:02 [INFO] [TRAIN] epoch=9, iter=5330/40000, loss=0.6282, lr=0.008793, batch_cost=0.7653, reader_cost=0.0044 | ETA 07:22:14 2020-12-17 15:50:09 [INFO] [TRAIN] epoch=9, iter=5340/40000, loss=0.3151, lr=0.008790, batch_cost=0.6702, reader_cost=0.0026 | ETA 06:27:10 2020-12-17 15:50:14 [INFO] [TRAIN] epoch=9, iter=5350/40000, loss=0.5021, lr=0.008788, batch_cost=0.4802, reader_cost=0.0001 | ETA 04:37:20 2020-12-17 15:50:19 [INFO] [TRAIN] epoch=9, iter=5360/40000, loss=0.3286, lr=0.008786, batch_cost=0.4758, reader_cost=0.0001 | ETA 04:34:41 2020-12-17 15:50:23 [INFO] [TRAIN] epoch=9, iter=5370/40000, loss=0.5473, lr=0.008783, batch_cost=0.4663, reader_cost=0.0001 | ETA 04:29:07 2020-12-17 15:50:28 [INFO] [TRAIN] epoch=9, iter=5380/40000, loss=0.4908, lr=0.008781, batch_cost=0.4842, reader_cost=0.0001 | ETA 04:39:23 2020-12-17 15:50:33 [INFO] [TRAIN] epoch=9, iter=5390/40000, loss=0.5304, lr=0.008779, batch_cost=0.4766, reader_cost=0.0001 | ETA 04:34:56 2020-12-17 15:50:38 [INFO] [TRAIN] epoch=9, iter=5400/40000, loss=0.5878, lr=0.008777, batch_cost=0.4947, reader_cost=0.0001 | ETA 04:45:16 2020-12-17 15:50:43 [INFO] [TRAIN] epoch=9, iter=5410/40000, loss=0.6100, lr=0.008774, batch_cost=0.4894, reader_cost=0.0001 | ETA 04:42:08 2020-12-17 15:50:48 [INFO] [TRAIN] epoch=9, iter=5420/40000, loss=0.4427, lr=0.008772, batch_cost=0.4830, reader_cost=0.0001 | ETA 04:38:23 2020-12-17 15:50:53 [INFO] [TRAIN] epoch=9, iter=5430/40000, loss=0.5244, lr=0.008770, batch_cost=0.4975, reader_cost=0.0001 | ETA 04:46:39 2020-12-17 15:50:57 [INFO] [TRAIN] epoch=9, iter=5440/40000, loss=0.4770, lr=0.008767, batch_cost=0.4774, reader_cost=0.0001 | ETA 04:34:58 2020-12-17 15:51:02 [INFO] [TRAIN] epoch=9, iter=5450/40000, loss=0.5926, lr=0.008765, batch_cost=0.5039, reader_cost=0.0001 | ETA 04:50:10 2020-12-17 15:51:07 [INFO] [TRAIN] epoch=9, iter=5460/40000, loss=0.4515, lr=0.008763, batch_cost=0.5017, reader_cost=0.0001 | ETA 04:48:48 2020-12-17 15:51:12 [INFO] [TRAIN] epoch=9, iter=5470/40000, loss=0.4578, lr=0.008761, batch_cost=0.4805, reader_cost=0.0001 | ETA 04:36:31 2020-12-17 15:51:17 [INFO] [TRAIN] epoch=9, iter=5480/40000, loss=0.5065, lr=0.008758, batch_cost=0.4730, reader_cost=0.0001 | ETA 04:32:08 2020-12-17 15:51:22 [INFO] [TRAIN] epoch=9, iter=5490/40000, loss=0.5645, lr=0.008756, batch_cost=0.4726, reader_cost=0.0001 | ETA 04:31:48 2020-12-17 15:51:27 [INFO] [TRAIN] epoch=9, iter=5500/40000, loss=0.6257, lr=0.008754, batch_cost=0.4776, reader_cost=0.0001 | ETA 04:34:37 2020-12-17 15:51:31 [INFO] [TRAIN] epoch=9, iter=5510/40000, loss=0.4340, lr=0.008751, batch_cost=0.4805, reader_cost=0.0001 | ETA 04:36:11 2020-12-17 15:51:36 [INFO] [TRAIN] epoch=9, iter=5520/40000, loss=0.4242, lr=0.008749, batch_cost=0.4849, reader_cost=0.0001 | ETA 04:38:37 2020-12-17 15:51:41 [INFO] [TRAIN] epoch=9, iter=5530/40000, loss=0.6050, lr=0.008747, batch_cost=0.4727, reader_cost=0.0001 | ETA 04:31:34 2020-12-17 15:51:46 [INFO] [TRAIN] epoch=9, iter=5540/40000, loss=0.5711, lr=0.008745, batch_cost=0.5141, reader_cost=0.0001 | ETA 04:55:17 2020-12-17 15:51:51 [INFO] [TRAIN] epoch=9, iter=5550/40000, loss=0.4695, lr=0.008742, batch_cost=0.4999, reader_cost=0.0001 | ETA 04:47:01 2020-12-17 15:51:56 [INFO] [TRAIN] epoch=9, iter=5560/40000, loss=0.5310, lr=0.008740, batch_cost=0.5091, reader_cost=0.0001 | ETA 04:52:14 2020-12-17 15:52:01 [INFO] [TRAIN] epoch=9, iter=5570/40000, loss=0.3935, lr=0.008738, batch_cost=0.4971, reader_cost=0.0001 | ETA 04:45:15 2020-12-17 15:52:06 [INFO] [TRAIN] epoch=9, iter=5580/40000, loss=0.3887, lr=0.008735, batch_cost=0.5029, reader_cost=0.0001 | ETA 04:48:29 2020-12-17 15:52:11 [INFO] [TRAIN] epoch=9, iter=5590/40000, loss=0.7329, lr=0.008733, batch_cost=0.5052, reader_cost=0.0001 | ETA 04:49:42 2020-12-17 15:52:16 [INFO] [TRAIN] epoch=9, iter=5600/40000, loss=0.6051, lr=0.008731, batch_cost=0.5153, reader_cost=0.0001 | ETA 04:55:26 2020-12-17 15:52:21 [INFO] [TRAIN] epoch=9, iter=5610/40000, loss=0.5158, lr=0.008729, batch_cost=0.5054, reader_cost=0.0001 | ETA 04:49:41 2020-12-17 15:52:27 [INFO] [TRAIN] epoch=9, iter=5620/40000, loss=0.4255, lr=0.008726, batch_cost=0.5155, reader_cost=0.0001 | ETA 04:55:23 2020-12-17 15:52:32 [INFO] [TRAIN] epoch=9, iter=5630/40000, loss=0.5213, lr=0.008724, batch_cost=0.5074, reader_cost=0.0001 | ETA 04:50:38 2020-12-17 15:52:37 [INFO] [TRAIN] epoch=9, iter=5640/40000, loss=0.6807, lr=0.008722, batch_cost=0.5148, reader_cost=0.0001 | ETA 04:54:49 2020-12-17 15:52:42 [INFO] [TRAIN] epoch=9, iter=5650/40000, loss=0.6544, lr=0.008719, batch_cost=0.5207, reader_cost=0.0001 | ETA 04:58:06 2020-12-17 15:52:47 [INFO] [TRAIN] epoch=9, iter=5660/40000, loss=0.4534, lr=0.008717, batch_cost=0.5116, reader_cost=0.0001 | ETA 04:52:47 2020-12-17 15:52:52 [INFO] [TRAIN] epoch=9, iter=5670/40000, loss=0.6337, lr=0.008715, batch_cost=0.5145, reader_cost=0.0001 | ETA 04:54:23 2020-12-17 15:52:57 [INFO] [TRAIN] epoch=9, iter=5680/40000, loss=0.4936, lr=0.008713, batch_cost=0.5109, reader_cost=0.0001 | ETA 04:52:13 2020-12-17 15:53:02 [INFO] [TRAIN] epoch=9, iter=5690/40000, loss=0.3749, lr=0.008710, batch_cost=0.5132, reader_cost=0.0001 | ETA 04:53:26 2020-12-17 15:53:08 [INFO] [TRAIN] epoch=9, iter=5700/40000, loss=0.4501, lr=0.008708, batch_cost=0.5119, reader_cost=0.0001 | ETA 04:52:39 2020-12-17 15:53:13 [INFO] [TRAIN] epoch=9, iter=5710/40000, loss=0.5560, lr=0.008706, batch_cost=0.5061, reader_cost=0.0001 | ETA 04:49:13 2020-12-17 15:53:18 [INFO] [TRAIN] epoch=9, iter=5720/40000, loss=0.4006, lr=0.008704, batch_cost=0.5079, reader_cost=0.0001 | ETA 04:50:10 2020-12-17 15:53:23 [INFO] [TRAIN] epoch=9, iter=5730/40000, loss=0.4131, lr=0.008701, batch_cost=0.4996, reader_cost=0.0001 | ETA 04:45:19 2020-12-17 15:53:28 [INFO] [TRAIN] epoch=9, iter=5740/40000, loss=0.5095, lr=0.008699, batch_cost=0.5025, reader_cost=0.0001 | ETA 04:46:55 2020-12-17 15:53:33 [INFO] [TRAIN] epoch=9, iter=5750/40000, loss=0.5149, lr=0.008697, batch_cost=0.5031, reader_cost=0.0001 | ETA 04:47:11 2020-12-17 15:53:38 [INFO] [TRAIN] epoch=9, iter=5760/40000, loss=0.4307, lr=0.008694, batch_cost=0.5125, reader_cost=0.0001 | ETA 04:52:27 2020-12-17 15:53:43 [INFO] [TRAIN] epoch=9, iter=5770/40000, loss=0.4548, lr=0.008692, batch_cost=0.4991, reader_cost=0.0001 | ETA 04:44:44 2020-12-17 15:53:48 [INFO] [TRAIN] epoch=9, iter=5780/40000, loss=0.5245, lr=0.008690, batch_cost=0.5194, reader_cost=0.0001 | ETA 04:56:12 2020-12-17 15:53:53 [INFO] [TRAIN] epoch=9, iter=5790/40000, loss=0.5403, lr=0.008688, batch_cost=0.4946, reader_cost=0.0001 | ETA 04:42:00 2020-12-17 15:53:58 [INFO] [TRAIN] epoch=9, iter=5800/40000, loss=0.4666, lr=0.008685, batch_cost=0.4988, reader_cost=0.0001 | ETA 04:44:19 2020-12-17 15:54:03 [INFO] [TRAIN] epoch=9, iter=5810/40000, loss=0.3413, lr=0.008683, batch_cost=0.5121, reader_cost=0.0001 | ETA 04:51:49 2020-12-17 15:54:08 [INFO] [TRAIN] epoch=9, iter=5820/40000, loss=0.5497, lr=0.008681, batch_cost=0.5116, reader_cost=0.0001 | ETA 04:51:24 2020-12-17 15:54:13 [INFO] [TRAIN] epoch=9, iter=5830/40000, loss=0.6377, lr=0.008678, batch_cost=0.5058, reader_cost=0.0001 | ETA 04:48:04 2020-12-17 15:54:18 [INFO] [TRAIN] epoch=9, iter=5840/40000, loss=0.4731, lr=0.008676, batch_cost=0.5011, reader_cost=0.0001 | ETA 04:45:18 2020-12-17 15:54:23 [INFO] [TRAIN] epoch=9, iter=5850/40000, loss=0.2903, lr=0.008674, batch_cost=0.5036, reader_cost=0.0001 | ETA 04:46:38 2020-12-17 15:54:29 [INFO] [TRAIN] epoch=9, iter=5860/40000, loss=0.3414, lr=0.008672, batch_cost=0.5195, reader_cost=0.0001 | ETA 04:55:37 2020-12-17 15:54:34 [INFO] [TRAIN] epoch=9, iter=5870/40000, loss=0.5098, lr=0.008669, batch_cost=0.5086, reader_cost=0.0001 | ETA 04:49:16 2020-12-17 15:54:39 [INFO] [TRAIN] epoch=9, iter=5880/40000, loss=0.4716, lr=0.008667, batch_cost=0.5064, reader_cost=0.0001 | ETA 04:47:56 2020-12-17 15:54:44 [INFO] [TRAIN] epoch=9, iter=5890/40000, loss=0.3832, lr=0.008665, batch_cost=0.5021, reader_cost=0.0001 | ETA 04:45:25 2020-12-17 15:54:49 [INFO] [TRAIN] epoch=9, iter=5900/40000, loss=0.5779, lr=0.008662, batch_cost=0.5118, reader_cost=0.0001 | ETA 04:50:53 2020-12-17 15:54:54 [INFO] [TRAIN] epoch=9, iter=5910/40000, loss=0.5092, lr=0.008660, batch_cost=0.5084, reader_cost=0.0001 | ETA 04:48:49 2020-12-17 15:54:59 [INFO] [TRAIN] epoch=9, iter=5920/40000, loss=0.6233, lr=0.008658, batch_cost=0.5146, reader_cost=0.0001 | ETA 04:52:18 2020-12-17 15:55:04 [INFO] [TRAIN] epoch=9, iter=5930/40000, loss=0.4629, lr=0.008656, batch_cost=0.4965, reader_cost=0.0001 | ETA 04:41:54 2020-12-17 15:55:09 [INFO] [TRAIN] epoch=9, iter=5940/40000, loss=0.6654, lr=0.008653, batch_cost=0.4940, reader_cost=0.0001 | ETA 04:40:26 2020-12-17 15:55:14 [INFO] [TRAIN] epoch=10, iter=5950/40000, loss=0.5037, lr=0.008651, batch_cost=0.4810, reader_cost=0.0301 | ETA 04:32:58 2020-12-17 15:55:19 [INFO] [TRAIN] epoch=10, iter=5960/40000, loss=0.4106, lr=0.008649, batch_cost=0.4859, reader_cost=0.0001 | ETA 04:35:40 2020-12-17 15:55:24 [INFO] [TRAIN] epoch=10, iter=5970/40000, loss=0.4554, lr=0.008646, batch_cost=0.4932, reader_cost=0.0001 | ETA 04:39:45 2020-12-17 15:55:29 [INFO] [TRAIN] epoch=10, iter=5980/40000, loss=0.4152, lr=0.008644, batch_cost=0.5033, reader_cost=0.0001 | ETA 04:45:20 2020-12-17 15:55:34 [INFO] [TRAIN] epoch=10, iter=5990/40000, loss=0.5577, lr=0.008642, batch_cost=0.5042, reader_cost=0.0001 | ETA 04:45:46 2020-12-17 15:55:39 [INFO] [TRAIN] epoch=10, iter=6000/40000, loss=0.3438, lr=0.008639, batch_cost=0.5138, reader_cost=0.0001 | ETA 04:51:09 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:55:39 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 15:55:59 [INFO] [EVAL] #Images=1449 mIoU=0.7160 Acc=0.9345 Kappa=0.8572 2020-12-17 15:55:59 [INFO] [EVAL] Class IoU: [0.9309 0.742 0.3452 0.8259 0.5992 0.7746 0.8828 0.8073 0.876 0.3303 0.8143 0.5951 0.8152 0.8243 0.6667 0.8177 0.5545 0.7981 0.5146 0.8357 0.6845] 2020-12-17 15:55:59 [INFO] [EVAL] Class Acc: [0.9659 0.7527 0.3955 0.8665 0.6646 0.862 0.9417 0.872 0.9038 0.5212 0.8924 0.9145 0.877 0.9561 0.6872 0.9571 0.8742 0.8554 0.7202 0.8979 0.7767] 2020-12-17 15:56:06 [INFO] [EVAL] The model with the best validation mIoU (0.7160) was saved at iter 6000. 2020-12-17 15:56:11 [INFO] [TRAIN] epoch=10, iter=6010/40000, loss=0.5352, lr=0.008637, batch_cost=0.5048, reader_cost=0.0001 | ETA 04:45:58 2020-12-17 15:56:16 [INFO] [TRAIN] epoch=10, iter=6020/40000, loss=0.4939, lr=0.008635, batch_cost=0.4905, reader_cost=0.0001 | ETA 04:37:46 2020-12-17 15:56:22 [INFO] [TRAIN] epoch=10, iter=6030/40000, loss=0.4895, lr=0.008633, batch_cost=0.5225, reader_cost=0.0001 | ETA 04:55:49 2020-12-17 15:56:27 [INFO] [TRAIN] epoch=10, iter=6040/40000, loss=0.4659, lr=0.008630, batch_cost=0.5104, reader_cost=0.0001 | ETA 04:48:52 2020-12-17 15:56:32 [INFO] [TRAIN] epoch=10, iter=6050/40000, loss=0.4665, lr=0.008628, batch_cost=0.5115, reader_cost=0.0001 | ETA 04:49:24 2020-12-17 15:56:37 [INFO] [TRAIN] epoch=10, iter=6060/40000, loss=0.4138, lr=0.008626, batch_cost=0.5133, reader_cost=0.0001 | ETA 04:50:22 2020-12-17 15:56:42 [INFO] [TRAIN] epoch=10, iter=6070/40000, loss=0.3305, lr=0.008623, batch_cost=0.5142, reader_cost=0.0001 | ETA 04:50:48 2020-12-17 15:56:47 [INFO] [TRAIN] epoch=10, iter=6080/40000, loss=0.8062, lr=0.008621, batch_cost=0.5139, reader_cost=0.0001 | ETA 04:50:32 2020-12-17 15:56:52 [INFO] [TRAIN] epoch=10, iter=6090/40000, loss=0.5504, lr=0.008619, batch_cost=0.5088, reader_cost=0.0001 | ETA 04:47:35 2020-12-17 15:56:57 [INFO] [TRAIN] epoch=10, iter=6100/40000, loss=0.4655, lr=0.008617, batch_cost=0.5077, reader_cost=0.0001 | ETA 04:46:49 2020-12-17 15:57:02 [INFO] [TRAIN] epoch=10, iter=6110/40000, loss=0.4419, lr=0.008614, batch_cost=0.5053, reader_cost=0.0001 | ETA 04:45:25 2020-12-17 15:57:08 [INFO] [TRAIN] epoch=10, iter=6120/40000, loss=0.5397, lr=0.008612, batch_cost=0.5137, reader_cost=0.0001 | ETA 04:50:03 2020-12-17 15:57:13 [INFO] [TRAIN] epoch=10, iter=6130/40000, loss=0.4502, lr=0.008610, batch_cost=0.5037, reader_cost=0.0001 | ETA 04:44:19 2020-12-17 15:57:18 [INFO] [TRAIN] epoch=10, iter=6140/40000, loss=0.5038, lr=0.008607, batch_cost=0.5051, reader_cost=0.0001 | ETA 04:45:03 2020-12-17 15:57:23 [INFO] [TRAIN] epoch=10, iter=6150/40000, loss=0.4509, lr=0.008605, batch_cost=0.5249, reader_cost=0.0001 | ETA 04:56:09 2020-12-17 15:57:28 [INFO] [TRAIN] epoch=10, iter=6160/40000, loss=0.5295, lr=0.008603, batch_cost=0.4973, reader_cost=0.0001 | ETA 04:40:28 2020-12-17 15:57:33 [INFO] [TRAIN] epoch=10, iter=6170/40000, loss=0.3940, lr=0.008601, batch_cost=0.4905, reader_cost=0.0001 | ETA 04:36:32 2020-12-17 15:57:38 [INFO] [TRAIN] epoch=10, iter=6180/40000, loss=0.7359, lr=0.008598, batch_cost=0.5151, reader_cost=0.0001 | ETA 04:50:20 2020-12-17 15:57:43 [INFO] [TRAIN] epoch=10, iter=6190/40000, loss=0.5840, lr=0.008596, batch_cost=0.5137, reader_cost=0.0001 | ETA 04:49:28 2020-12-17 15:57:48 [INFO] [TRAIN] epoch=10, iter=6200/40000, loss=0.6201, lr=0.008594, batch_cost=0.5004, reader_cost=0.0001 | ETA 04:41:52 2020-12-17 15:57:53 [INFO] [TRAIN] epoch=10, iter=6210/40000, loss=0.4757, lr=0.008591, batch_cost=0.5091, reader_cost=0.0001 | ETA 04:46:44 2020-12-17 15:57:58 [INFO] [TRAIN] epoch=10, iter=6220/40000, loss=0.4153, lr=0.008589, batch_cost=0.5012, reader_cost=0.0001 | ETA 04:42:10 2020-12-17 15:58:03 [INFO] [TRAIN] epoch=10, iter=6230/40000, loss=0.4831, lr=0.008587, batch_cost=0.5003, reader_cost=0.0001 | ETA 04:41:34 2020-12-17 15:58:08 [INFO] [TRAIN] epoch=10, iter=6240/40000, loss=0.3581, lr=0.008585, batch_cost=0.5046, reader_cost=0.0001 | ETA 04:43:54 2020-12-17 15:58:13 [INFO] [TRAIN] epoch=10, iter=6250/40000, loss=0.5922, lr=0.008582, batch_cost=0.5059, reader_cost=0.0001 | ETA 04:44:33 2020-12-17 15:58:18 [INFO] [TRAIN] epoch=10, iter=6260/40000, loss=0.4621, lr=0.008580, batch_cost=0.5031, reader_cost=0.0001 | ETA 04:42:55 2020-12-17 15:58:23 [INFO] [TRAIN] epoch=10, iter=6270/40000, loss=0.6507, lr=0.008578, batch_cost=0.5120, reader_cost=0.0001 | ETA 04:47:50 2020-12-17 15:58:28 [INFO] [TRAIN] epoch=10, iter=6280/40000, loss=0.4748, lr=0.008575, batch_cost=0.4971, reader_cost=0.0001 | ETA 04:39:23 2020-12-17 15:58:33 [INFO] [TRAIN] epoch=10, iter=6290/40000, loss=0.5135, lr=0.008573, batch_cost=0.4924, reader_cost=0.0001 | ETA 04:36:39 2020-12-17 15:58:38 [INFO] [TRAIN] epoch=10, iter=6300/40000, loss=0.8071, lr=0.008571, batch_cost=0.4975, reader_cost=0.0001 | ETA 04:39:26 2020-12-17 15:58:43 [INFO] [TRAIN] epoch=10, iter=6310/40000, loss=0.5013, lr=0.008569, batch_cost=0.4997, reader_cost=0.0001 | ETA 04:40:35 2020-12-17 15:58:48 [INFO] [TRAIN] epoch=10, iter=6320/40000, loss=0.4663, lr=0.008566, batch_cost=0.5031, reader_cost=0.0001 | ETA 04:42:25 2020-12-17 15:58:53 [INFO] [TRAIN] epoch=10, iter=6330/40000, loss=0.6436, lr=0.008564, batch_cost=0.5081, reader_cost=0.0001 | ETA 04:45:08 2020-12-17 15:58:59 [INFO] [TRAIN] epoch=10, iter=6340/40000, loss=0.5340, lr=0.008562, batch_cost=0.5223, reader_cost=0.0001 | ETA 04:53:00 2020-12-17 15:59:04 [INFO] [TRAIN] epoch=10, iter=6350/40000, loss=0.3074, lr=0.008559, batch_cost=0.5233, reader_cost=0.0001 | ETA 04:53:29 2020-12-17 15:59:09 [INFO] [TRAIN] epoch=10, iter=6360/40000, loss=0.6603, lr=0.008557, batch_cost=0.5048, reader_cost=0.0001 | ETA 04:43:02 2020-12-17 15:59:14 [INFO] [TRAIN] epoch=10, iter=6370/40000, loss=0.3448, lr=0.008555, batch_cost=0.4913, reader_cost=0.0001 | ETA 04:35:23 2020-12-17 15:59:19 [INFO] [TRAIN] epoch=10, iter=6380/40000, loss=0.4834, lr=0.008553, batch_cost=0.5073, reader_cost=0.0001 | ETA 04:44:16 2020-12-17 15:59:24 [INFO] [TRAIN] epoch=10, iter=6390/40000, loss=0.4501, lr=0.008550, batch_cost=0.5100, reader_cost=0.0001 | ETA 04:45:39 2020-12-17 15:59:29 [INFO] [TRAIN] epoch=10, iter=6400/40000, loss=0.4541, lr=0.008548, batch_cost=0.5074, reader_cost=0.0008 | ETA 04:44:09 2020-12-17 15:59:34 [INFO] [TRAIN] epoch=10, iter=6410/40000, loss=0.4651, lr=0.008546, batch_cost=0.5000, reader_cost=0.0001 | ETA 04:39:56 2020-12-17 15:59:39 [INFO] [TRAIN] epoch=10, iter=6420/40000, loss=0.3486, lr=0.008543, batch_cost=0.4923, reader_cost=0.0002 | ETA 04:35:32 2020-12-17 15:59:44 [INFO] [TRAIN] epoch=10, iter=6430/40000, loss=0.5387, lr=0.008541, batch_cost=0.5115, reader_cost=0.0001 | ETA 04:46:10 2020-12-17 15:59:49 [INFO] [TRAIN] epoch=10, iter=6440/40000, loss=0.5998, lr=0.008539, batch_cost=0.5215, reader_cost=0.0001 | ETA 04:51:41 2020-12-17 15:59:54 [INFO] [TRAIN] epoch=10, iter=6450/40000, loss=0.3840, lr=0.008537, batch_cost=0.5036, reader_cost=0.0001 | ETA 04:41:37 2020-12-17 15:59:59 [INFO] [TRAIN] epoch=10, iter=6460/40000, loss=0.4670, lr=0.008534, batch_cost=0.5014, reader_cost=0.0001 | ETA 04:40:16 2020-12-17 16:00:04 [INFO] [TRAIN] epoch=10, iter=6470/40000, loss=0.4573, lr=0.008532, batch_cost=0.5020, reader_cost=0.0001 | ETA 04:40:31 2020-12-17 16:00:09 [INFO] [TRAIN] epoch=10, iter=6480/40000, loss=0.3903, lr=0.008530, batch_cost=0.4943, reader_cost=0.0001 | ETA 04:36:09 2020-12-17 16:00:14 [INFO] [TRAIN] epoch=10, iter=6490/40000, loss=0.3742, lr=0.008527, batch_cost=0.5068, reader_cost=0.0001 | ETA 04:43:03 2020-12-17 16:00:20 [INFO] [TRAIN] epoch=10, iter=6500/40000, loss=0.4405, lr=0.008525, batch_cost=0.5120, reader_cost=0.0001 | ETA 04:45:51 2020-12-17 16:00:25 [INFO] [TRAIN] epoch=10, iter=6510/40000, loss=0.7051, lr=0.008523, batch_cost=0.5060, reader_cost=0.0001 | ETA 04:42:25 2020-12-17 16:00:30 [INFO] [TRAIN] epoch=10, iter=6520/40000, loss=0.5628, lr=0.008520, batch_cost=0.5125, reader_cost=0.0001 | ETA 04:45:58 2020-12-17 16:00:35 [INFO] [TRAIN] epoch=10, iter=6530/40000, loss=0.4553, lr=0.008518, batch_cost=0.5104, reader_cost=0.0001 | ETA 04:44:43 2020-12-17 16:00:40 [INFO] [TRAIN] epoch=10, iter=6540/40000, loss=0.6297, lr=0.008516, batch_cost=0.5006, reader_cost=0.0002 | ETA 04:39:11 2020-12-17 16:00:45 [INFO] [TRAIN] epoch=10, iter=6550/40000, loss=0.4852, lr=0.008514, batch_cost=0.4996, reader_cost=0.0001 | ETA 04:38:31 2020-12-17 16:00:50 [INFO] [TRAIN] epoch=10, iter=6560/40000, loss=0.4499, lr=0.008511, batch_cost=0.5034, reader_cost=0.0001 | ETA 04:40:33 2020-12-17 16:00:55 [INFO] [TRAIN] epoch=10, iter=6570/40000, loss=0.4920, lr=0.008509, batch_cost=0.4916, reader_cost=0.0001 | ETA 04:33:52 2020-12-17 16:01:00 [INFO] [TRAIN] epoch=10, iter=6580/40000, loss=0.3237, lr=0.008507, batch_cost=0.5024, reader_cost=0.0001 | ETA 04:39:49 2020-12-17 16:01:05 [INFO] [TRAIN] epoch=10, iter=6590/40000, loss=0.3357, lr=0.008504, batch_cost=0.5030, reader_cost=0.0001 | ETA 04:40:05 2020-12-17 16:01:10 [INFO] [TRAIN] epoch=10, iter=6600/40000, loss=0.4879, lr=0.008502, batch_cost=0.5126, reader_cost=0.0001 | ETA 04:45:20 2020-12-17 16:01:14 [INFO] [TRAIN] epoch=10, iter=6610/40000, loss=0.6247, lr=0.008500, batch_cost=0.4429, reader_cost=0.0001 | ETA 04:06:27 2020-12-17 16:01:20 [INFO] [TRAIN] epoch=11, iter=6620/40000, loss=0.6168, lr=0.008498, batch_cost=0.5426, reader_cost=0.0190 | ETA 05:01:51 2020-12-17 16:01:25 [INFO] [TRAIN] epoch=11, iter=6630/40000, loss=0.6263, lr=0.008495, batch_cost=0.5013, reader_cost=0.0001 | ETA 04:38:47 2020-12-17 16:01:30 [INFO] [TRAIN] epoch=11, iter=6640/40000, loss=0.4636, lr=0.008493, batch_cost=0.4962, reader_cost=0.0001 | ETA 04:35:51 2020-12-17 16:01:35 [INFO] [TRAIN] epoch=11, iter=6650/40000, loss=0.3960, lr=0.008491, batch_cost=0.5046, reader_cost=0.0001 | ETA 04:40:27 2020-12-17 16:01:40 [INFO] [TRAIN] epoch=11, iter=6660/40000, loss=0.4198, lr=0.008488, batch_cost=0.5048, reader_cost=0.0001 | ETA 04:40:31 2020-12-17 16:01:45 [INFO] [TRAIN] epoch=11, iter=6670/40000, loss=0.5110, lr=0.008486, batch_cost=0.5048, reader_cost=0.0001 | ETA 04:40:24 2020-12-17 16:01:50 [INFO] [TRAIN] epoch=11, iter=6680/40000, loss=0.6947, lr=0.008484, batch_cost=0.5158, reader_cost=0.0001 | ETA 04:46:27 2020-12-17 16:01:55 [INFO] [TRAIN] epoch=11, iter=6690/40000, loss=0.4363, lr=0.008482, batch_cost=0.5211, reader_cost=0.0001 | ETA 04:49:16 2020-12-17 16:02:00 [INFO] [TRAIN] epoch=11, iter=6700/40000, loss=0.4453, lr=0.008479, batch_cost=0.5117, reader_cost=0.0001 | ETA 04:44:00 2020-12-17 16:02:06 [INFO] [TRAIN] epoch=11, iter=6710/40000, loss=0.4365, lr=0.008477, batch_cost=0.5124, reader_cost=0.0001 | ETA 04:44:17 2020-12-17 16:02:11 [INFO] [TRAIN] epoch=11, iter=6720/40000, loss=0.5441, lr=0.008475, batch_cost=0.5235, reader_cost=0.0002 | ETA 04:50:23 2020-12-17 16:02:16 [INFO] [TRAIN] epoch=11, iter=6730/40000, loss=0.4770, lr=0.008472, batch_cost=0.5054, reader_cost=0.0001 | ETA 04:40:13 2020-12-17 16:02:21 [INFO] [TRAIN] epoch=11, iter=6740/40000, loss=0.4133, lr=0.008470, batch_cost=0.5143, reader_cost=0.0001 | ETA 04:45:06 2020-12-17 16:02:26 [INFO] [TRAIN] epoch=11, iter=6750/40000, loss=0.4067, lr=0.008468, batch_cost=0.4976, reader_cost=0.0001 | ETA 04:35:44 2020-12-17 16:02:31 [INFO] [TRAIN] epoch=11, iter=6760/40000, loss=0.4059, lr=0.008466, batch_cost=0.5259, reader_cost=0.0001 | ETA 04:51:20 2020-12-17 16:02:36 [INFO] [TRAIN] epoch=11, iter=6770/40000, loss=0.4134, lr=0.008463, batch_cost=0.4965, reader_cost=0.0003 | ETA 04:34:58 2020-12-17 16:02:41 [INFO] [TRAIN] epoch=11, iter=6780/40000, loss=0.4068, lr=0.008461, batch_cost=0.5170, reader_cost=0.0001 | ETA 04:46:14 2020-12-17 16:02:46 [INFO] [TRAIN] epoch=11, iter=6790/40000, loss=0.5006, lr=0.008459, batch_cost=0.4987, reader_cost=0.0001 | ETA 04:36:00 2020-12-17 16:02:51 [INFO] [TRAIN] epoch=11, iter=6800/40000, loss=0.7015, lr=0.008456, batch_cost=0.5051, reader_cost=0.0001 | ETA 04:39:30 2020-12-17 16:02:56 [INFO] [TRAIN] epoch=11, iter=6810/40000, loss=0.5762, lr=0.008454, batch_cost=0.5047, reader_cost=0.0001 | ETA 04:39:10 2020-12-17 16:03:02 [INFO] [TRAIN] epoch=11, iter=6820/40000, loss=0.6410, lr=0.008452, batch_cost=0.5163, reader_cost=0.0001 | ETA 04:45:30 2020-12-17 16:03:07 [INFO] [TRAIN] epoch=11, iter=6830/40000, loss=0.4403, lr=0.008449, batch_cost=0.5060, reader_cost=0.0001 | ETA 04:39:44 2020-12-17 16:03:12 [INFO] [TRAIN] epoch=11, iter=6840/40000, loss=0.4103, lr=0.008447, batch_cost=0.4904, reader_cost=0.0001 | ETA 04:31:01 2020-12-17 16:03:17 [INFO] [TRAIN] epoch=11, iter=6850/40000, loss=0.3759, lr=0.008445, batch_cost=0.4979, reader_cost=0.0001 | ETA 04:35:05 2020-12-17 16:03:22 [INFO] [TRAIN] epoch=11, iter=6860/40000, loss=0.6914, lr=0.008443, batch_cost=0.5185, reader_cost=0.0001 | ETA 04:46:22 2020-12-17 16:03:27 [INFO] [TRAIN] epoch=11, iter=6870/40000, loss=0.5091, lr=0.008440, batch_cost=0.5075, reader_cost=0.0001 | ETA 04:40:13 2020-12-17 16:03:32 [INFO] [TRAIN] epoch=11, iter=6880/40000, loss=0.6236, lr=0.008438, batch_cost=0.5059, reader_cost=0.0001 | ETA 04:39:14 2020-12-17 16:03:37 [INFO] [TRAIN] epoch=11, iter=6890/40000, loss=0.5521, lr=0.008436, batch_cost=0.5048, reader_cost=0.0001 | ETA 04:38:34 2020-12-17 16:03:42 [INFO] [TRAIN] epoch=11, iter=6900/40000, loss=0.6787, lr=0.008433, batch_cost=0.4974, reader_cost=0.0001 | ETA 04:34:23 2020-12-17 16:03:47 [INFO] [TRAIN] epoch=11, iter=6910/40000, loss=0.3336, lr=0.008431, batch_cost=0.5023, reader_cost=0.0001 | ETA 04:37:01 2020-12-17 16:03:52 [INFO] [TRAIN] epoch=11, iter=6920/40000, loss=0.4983, lr=0.008429, batch_cost=0.5015, reader_cost=0.0001 | ETA 04:36:29 2020-12-17 16:03:57 [INFO] [TRAIN] epoch=11, iter=6930/40000, loss=0.3667, lr=0.008427, batch_cost=0.4900, reader_cost=0.0001 | ETA 04:30:04 2020-12-17 16:04:02 [INFO] [TRAIN] epoch=11, iter=6940/40000, loss=0.5235, lr=0.008424, batch_cost=0.5060, reader_cost=0.0001 | ETA 04:38:47 2020-12-17 16:04:07 [INFO] [TRAIN] epoch=11, iter=6950/40000, loss=0.5268, lr=0.008422, batch_cost=0.4856, reader_cost=0.0001 | ETA 04:27:28 2020-12-17 16:04:12 [INFO] [TRAIN] epoch=11, iter=6960/40000, loss=0.6401, lr=0.008420, batch_cost=0.4830, reader_cost=0.0001 | ETA 04:25:58 2020-12-17 16:04:16 [INFO] [TRAIN] epoch=11, iter=6970/40000, loss=0.7165, lr=0.008417, batch_cost=0.4904, reader_cost=0.0001 | ETA 04:29:57 2020-12-17 16:04:21 [INFO] [TRAIN] epoch=11, iter=6980/40000, loss=0.5994, lr=0.008415, batch_cost=0.4982, reader_cost=0.0001 | ETA 04:34:10 2020-12-17 16:04:27 [INFO] [TRAIN] epoch=11, iter=6990/40000, loss=0.4862, lr=0.008413, batch_cost=0.5113, reader_cost=0.0001 | ETA 04:41:18 2020-12-17 16:04:32 [INFO] [TRAIN] epoch=11, iter=7000/40000, loss=0.5652, lr=0.008410, batch_cost=0.4984, reader_cost=0.0001 | ETA 04:34:06 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:04:32 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 16:04:52 [INFO] [EVAL] #Images=1449 mIoU=0.6462 Acc=0.9140 Kappa=0.8146 2020-12-17 16:04:52 [INFO] [EVAL] Class IoU: [0.9126 0.7735 0.3082 0.8149 0.3386 0.7057 0.7649 0.725 0.8968 0.2972 0.7526 0.4486 0.7229 0.7094 0.6329 0.8141 0.5601 0.7834 0.3703 0.672 0.5675] 2020-12-17 16:04:52 [INFO] [EVAL] Class Acc: [0.9609 0.8048 0.3904 0.8526 0.3431 0.846 0.8562 0.7834 0.9609 0.46 0.9607 0.9734 0.7525 0.9138 0.6808 0.8903 0.7444 0.8288 0.8099 0.8596 0.6105] 2020-12-17 16:04:56 [INFO] [EVAL] The model with the best validation mIoU (0.7160) was saved at iter 6000. 2020-12-17 16:05:01 [INFO] [TRAIN] epoch=11, iter=7010/40000, loss=0.5521, lr=0.008408, batch_cost=0.5034, reader_cost=0.0001 | ETA 04:36:45 2020-12-17 16:05:07 [INFO] [TRAIN] epoch=11, iter=7020/40000, loss=0.3435, lr=0.008406, batch_cost=0.5117, reader_cost=0.0001 | ETA 04:41:14 2020-12-17 16:05:12 [INFO] [TRAIN] epoch=11, iter=7030/40000, loss=0.7328, lr=0.008404, batch_cost=0.5183, reader_cost=0.0001 | ETA 04:44:48 2020-12-17 16:05:17 [INFO] [TRAIN] epoch=11, iter=7040/40000, loss=0.4300, lr=0.008401, batch_cost=0.5003, reader_cost=0.0001 | ETA 04:34:50 2020-12-17 16:05:22 [INFO] [TRAIN] epoch=11, iter=7050/40000, loss=0.4853, lr=0.008399, batch_cost=0.5074, reader_cost=0.0001 | ETA 04:38:39 2020-12-17 16:05:27 [INFO] [TRAIN] epoch=11, iter=7060/40000, loss=0.5010, lr=0.008397, batch_cost=0.5027, reader_cost=0.0001 | ETA 04:36:00 2020-12-17 16:05:32 [INFO] [TRAIN] epoch=11, iter=7070/40000, loss=0.3682, lr=0.008394, batch_cost=0.5070, reader_cost=0.0001 | ETA 04:38:16 2020-12-17 16:05:37 [INFO] [TRAIN] epoch=11, iter=7080/40000, loss=0.5526, lr=0.008392, batch_cost=0.5043, reader_cost=0.0001 | ETA 04:36:42 2020-12-17 16:05:42 [INFO] [TRAIN] epoch=11, iter=7090/40000, loss=0.4541, lr=0.008390, batch_cost=0.4985, reader_cost=0.0001 | ETA 04:33:26 2020-12-17 16:05:47 [INFO] [TRAIN] epoch=11, iter=7100/40000, loss=0.5395, lr=0.008388, batch_cost=0.4958, reader_cost=0.0001 | ETA 04:31:50 2020-12-17 16:05:52 [INFO] [TRAIN] epoch=11, iter=7110/40000, loss=0.4289, lr=0.008385, batch_cost=0.4991, reader_cost=0.0001 | ETA 04:33:33 2020-12-17 16:05:57 [INFO] [TRAIN] epoch=11, iter=7120/40000, loss=0.4629, lr=0.008383, batch_cost=0.5064, reader_cost=0.0001 | ETA 04:37:30 2020-12-17 16:06:02 [INFO] [TRAIN] epoch=11, iter=7130/40000, loss=0.5208, lr=0.008381, batch_cost=0.5089, reader_cost=0.0001 | ETA 04:38:47 2020-12-17 16:06:07 [INFO] [TRAIN] epoch=11, iter=7140/40000, loss=0.4898, lr=0.008378, batch_cost=0.4960, reader_cost=0.0001 | ETA 04:31:37 2020-12-17 16:06:12 [INFO] [TRAIN] epoch=11, iter=7150/40000, loss=0.4841, lr=0.008376, batch_cost=0.5124, reader_cost=0.0001 | ETA 04:40:31 2020-12-17 16:06:17 [INFO] [TRAIN] epoch=11, iter=7160/40000, loss=0.4835, lr=0.008374, batch_cost=0.5097, reader_cost=0.0001 | ETA 04:38:57 2020-12-17 16:06:22 [INFO] [TRAIN] epoch=11, iter=7170/40000, loss=0.4844, lr=0.008371, batch_cost=0.5136, reader_cost=0.0001 | ETA 04:41:02 2020-12-17 16:06:28 [INFO] [TRAIN] epoch=11, iter=7180/40000, loss=0.5898, lr=0.008369, batch_cost=0.5133, reader_cost=0.0001 | ETA 04:40:47 2020-12-17 16:06:32 [INFO] [TRAIN] epoch=11, iter=7190/40000, loss=0.3917, lr=0.008367, batch_cost=0.4924, reader_cost=0.0001 | ETA 04:29:14 2020-12-17 16:06:37 [INFO] [TRAIN] epoch=11, iter=7200/40000, loss=0.4027, lr=0.008365, batch_cost=0.4868, reader_cost=0.0001 | ETA 04:26:07 2020-12-17 16:06:42 [INFO] [TRAIN] epoch=11, iter=7210/40000, loss=0.5418, lr=0.008362, batch_cost=0.4952, reader_cost=0.0011 | ETA 04:30:37 2020-12-17 16:06:47 [INFO] [TRAIN] epoch=11, iter=7220/40000, loss=0.6559, lr=0.008360, batch_cost=0.5111, reader_cost=0.0001 | ETA 04:39:14 2020-12-17 16:06:52 [INFO] [TRAIN] epoch=11, iter=7230/40000, loss=0.3506, lr=0.008358, batch_cost=0.5072, reader_cost=0.0001 | ETA 04:37:01 2020-12-17 16:06:57 [INFO] [TRAIN] epoch=11, iter=7240/40000, loss=0.4365, lr=0.008355, batch_cost=0.4914, reader_cost=0.0001 | ETA 04:28:16 2020-12-17 16:07:02 [INFO] [TRAIN] epoch=11, iter=7250/40000, loss=0.4556, lr=0.008353, batch_cost=0.5096, reader_cost=0.0001 | ETA 04:38:09 2020-12-17 16:07:07 [INFO] [TRAIN] epoch=11, iter=7260/40000, loss=0.4742, lr=0.008351, batch_cost=0.4997, reader_cost=0.0001 | ETA 04:32:39 2020-12-17 16:07:12 [INFO] [TRAIN] epoch=11, iter=7270/40000, loss=0.4944, lr=0.008349, batch_cost=0.4608, reader_cost=0.0001 | ETA 04:11:22 2020-12-17 16:07:17 [INFO] [TRAIN] epoch=12, iter=7280/40000, loss=0.7668, lr=0.008346, batch_cost=0.5163, reader_cost=0.0371 | ETA 04:41:33 2020-12-17 16:07:22 [INFO] [TRAIN] epoch=12, iter=7290/40000, loss=0.4906, lr=0.008344, batch_cost=0.4826, reader_cost=0.0001 | ETA 04:23:06 2020-12-17 16:07:27 [INFO] [TRAIN] epoch=12, iter=7300/40000, loss=0.3928, lr=0.008342, batch_cost=0.4996, reader_cost=0.0001 | ETA 04:32:15 2020-12-17 16:07:32 [INFO] [TRAIN] epoch=12, iter=7310/40000, loss=0.3852, lr=0.008339, batch_cost=0.4977, reader_cost=0.0001 | ETA 04:31:11 2020-12-17 16:07:37 [INFO] [TRAIN] epoch=12, iter=7320/40000, loss=0.4973, lr=0.008337, batch_cost=0.5100, reader_cost=0.0001 | ETA 04:37:46 2020-12-17 16:07:42 [INFO] [TRAIN] epoch=12, iter=7330/40000, loss=0.4917, lr=0.008335, batch_cost=0.4941, reader_cost=0.0001 | ETA 04:29:01 2020-12-17 16:07:47 [INFO] [TRAIN] epoch=12, iter=7340/40000, loss=0.4855, lr=0.008332, batch_cost=0.4849, reader_cost=0.0001 | ETA 04:23:56 2020-12-17 16:07:52 [INFO] [TRAIN] epoch=12, iter=7350/40000, loss=0.4588, lr=0.008330, batch_cost=0.5134, reader_cost=0.0001 | ETA 04:39:22 2020-12-17 16:07:57 [INFO] [TRAIN] epoch=12, iter=7360/40000, loss=0.5268, lr=0.008328, batch_cost=0.4913, reader_cost=0.0001 | ETA 04:27:16 2020-12-17 16:08:02 [INFO] [TRAIN] epoch=12, iter=7370/40000, loss=0.3481, lr=0.008326, batch_cost=0.4995, reader_cost=0.0001 | ETA 04:31:37 2020-12-17 16:08:07 [INFO] [TRAIN] epoch=12, iter=7380/40000, loss=0.4374, lr=0.008323, batch_cost=0.5048, reader_cost=0.0001 | ETA 04:34:25 2020-12-17 16:08:12 [INFO] [TRAIN] epoch=12, iter=7390/40000, loss=0.5277, lr=0.008321, batch_cost=0.4858, reader_cost=0.0001 | ETA 04:24:01 2020-12-17 16:08:17 [INFO] [TRAIN] epoch=12, iter=7400/40000, loss=0.3898, lr=0.008319, batch_cost=0.5037, reader_cost=0.0001 | ETA 04:33:39 2020-12-17 16:08:22 [INFO] [TRAIN] epoch=12, iter=7410/40000, loss=0.5540, lr=0.008316, batch_cost=0.5083, reader_cost=0.0001 | ETA 04:36:04 2020-12-17 16:08:27 [INFO] [TRAIN] epoch=12, iter=7420/40000, loss=0.3718, lr=0.008314, batch_cost=0.5099, reader_cost=0.0001 | ETA 04:36:51 2020-12-17 16:08:32 [INFO] [TRAIN] epoch=12, iter=7430/40000, loss=0.4811, lr=0.008312, batch_cost=0.5069, reader_cost=0.0001 | ETA 04:35:08 2020-12-17 16:08:37 [INFO] [TRAIN] epoch=12, iter=7440/40000, loss=0.3701, lr=0.008309, batch_cost=0.5053, reader_cost=0.0001 | ETA 04:34:13 2020-12-17 16:08:42 [INFO] [TRAIN] epoch=12, iter=7450/40000, loss=0.6138, lr=0.008307, batch_cost=0.4946, reader_cost=0.0001 | ETA 04:28:20 2020-12-17 16:08:47 [INFO] [TRAIN] epoch=12, iter=7460/40000, loss=0.4749, lr=0.008305, batch_cost=0.5025, reader_cost=0.0001 | ETA 04:32:32 2020-12-17 16:08:52 [INFO] [TRAIN] epoch=12, iter=7470/40000, loss=0.5239, lr=0.008303, batch_cost=0.5094, reader_cost=0.0001 | ETA 04:36:11 2020-12-17 16:08:57 [INFO] [TRAIN] epoch=12, iter=7480/40000, loss=0.4062, lr=0.008300, batch_cost=0.5166, reader_cost=0.0001 | ETA 04:40:00 2020-12-17 16:09:02 [INFO] [TRAIN] epoch=12, iter=7490/40000, loss=0.5867, lr=0.008298, batch_cost=0.4994, reader_cost=0.0001 | ETA 04:30:34 2020-12-17 16:09:08 [INFO] [TRAIN] epoch=12, iter=7500/40000, loss=0.5335, lr=0.008296, batch_cost=0.5143, reader_cost=0.0001 | ETA 04:38:33 2020-12-17 16:09:13 [INFO] [TRAIN] epoch=12, iter=7510/40000, loss=0.5357, lr=0.008293, batch_cost=0.5161, reader_cost=0.0001 | ETA 04:39:27 2020-12-17 16:09:18 [INFO] [TRAIN] epoch=12, iter=7520/40000, loss=0.8442, lr=0.008291, batch_cost=0.4858, reader_cost=0.0001 | ETA 04:22:59 2020-12-17 16:09:23 [INFO] [TRAIN] epoch=12, iter=7530/40000, loss=0.5400, lr=0.008289, batch_cost=0.5013, reader_cost=0.0001 | ETA 04:31:16 2020-12-17 16:09:28 [INFO] [TRAIN] epoch=12, iter=7540/40000, loss=0.4887, lr=0.008287, batch_cost=0.5090, reader_cost=0.0001 | ETA 04:35:21 2020-12-17 16:09:33 [INFO] [TRAIN] epoch=12, iter=7550/40000, loss=0.5848, lr=0.008284, batch_cost=0.5030, reader_cost=0.0001 | ETA 04:32:02 2020-12-17 16:09:38 [INFO] [TRAIN] epoch=12, iter=7560/40000, loss=0.5511, lr=0.008282, batch_cost=0.5025, reader_cost=0.0001 | ETA 04:31:41 2020-12-17 16:09:43 [INFO] [TRAIN] epoch=12, iter=7570/40000, loss=0.5674, lr=0.008280, batch_cost=0.5126, reader_cost=0.0001 | ETA 04:37:02 2020-12-17 16:09:48 [INFO] [TRAIN] epoch=12, iter=7580/40000, loss=0.6195, lr=0.008277, batch_cost=0.5140, reader_cost=0.0001 | ETA 04:37:44 2020-12-17 16:09:53 [INFO] [TRAIN] epoch=12, iter=7590/40000, loss=0.5763, lr=0.008275, batch_cost=0.5014, reader_cost=0.0001 | ETA 04:30:50 2020-12-17 16:09:58 [INFO] [TRAIN] epoch=12, iter=7600/40000, loss=0.4204, lr=0.008273, batch_cost=0.4996, reader_cost=0.0001 | ETA 04:29:48 2020-12-17 16:10:03 [INFO] [TRAIN] epoch=12, iter=7610/40000, loss=0.4448, lr=0.008270, batch_cost=0.5007, reader_cost=0.0001 | ETA 04:30:17 2020-12-17 16:10:08 [INFO] [TRAIN] epoch=12, iter=7620/40000, loss=0.5211, lr=0.008268, batch_cost=0.5042, reader_cost=0.0001 | ETA 04:32:05 2020-12-17 16:10:13 [INFO] [TRAIN] epoch=12, iter=7630/40000, loss=0.6000, lr=0.008266, batch_cost=0.5000, reader_cost=0.0001 | ETA 04:29:45 2020-12-17 16:10:18 [INFO] [TRAIN] epoch=12, iter=7640/40000, loss=0.5140, lr=0.008264, batch_cost=0.5104, reader_cost=0.0001 | ETA 04:35:16 2020-12-17 16:10:23 [INFO] [TRAIN] epoch=12, iter=7650/40000, loss=0.6659, lr=0.008261, batch_cost=0.4978, reader_cost=0.0001 | ETA 04:28:22 2020-12-17 16:10:28 [INFO] [TRAIN] epoch=12, iter=7660/40000, loss=0.4471, lr=0.008259, batch_cost=0.4903, reader_cost=0.0001 | ETA 04:24:17 2020-12-17 16:10:33 [INFO] [TRAIN] epoch=12, iter=7670/40000, loss=0.3852, lr=0.008257, batch_cost=0.5085, reader_cost=0.0001 | ETA 04:33:58 2020-12-17 16:10:38 [INFO] [TRAIN] epoch=12, iter=7680/40000, loss=0.3667, lr=0.008254, batch_cost=0.5081, reader_cost=0.0001 | ETA 04:33:41 2020-12-17 16:10:43 [INFO] [TRAIN] epoch=12, iter=7690/40000, loss=0.3554, lr=0.008252, batch_cost=0.5047, reader_cost=0.0001 | ETA 04:31:46 2020-12-17 16:10:48 [INFO] [TRAIN] epoch=12, iter=7700/40000, loss=0.4858, lr=0.008250, batch_cost=0.4989, reader_cost=0.0001 | ETA 04:28:34 2020-12-17 16:10:53 [INFO] [TRAIN] epoch=12, iter=7710/40000, loss=0.3162, lr=0.008247, batch_cost=0.4955, reader_cost=0.0001 | ETA 04:26:39 2020-12-17 16:10:58 [INFO] [TRAIN] epoch=12, iter=7720/40000, loss=0.5877, lr=0.008245, batch_cost=0.4989, reader_cost=0.0001 | ETA 04:28:25 2020-12-17 16:11:03 [INFO] [TRAIN] epoch=12, iter=7730/40000, loss=0.3565, lr=0.008243, batch_cost=0.4910, reader_cost=0.0001 | ETA 04:24:04 2020-12-17 16:11:08 [INFO] [TRAIN] epoch=12, iter=7740/40000, loss=0.7138, lr=0.008241, batch_cost=0.5011, reader_cost=0.0001 | ETA 04:29:24 2020-12-17 16:11:13 [INFO] [TRAIN] epoch=12, iter=7750/40000, loss=0.4530, lr=0.008238, batch_cost=0.5126, reader_cost=0.0001 | ETA 04:35:30 2020-12-17 16:11:18 [INFO] [TRAIN] epoch=12, iter=7760/40000, loss=0.4645, lr=0.008236, batch_cost=0.5085, reader_cost=0.0001 | ETA 04:33:15 2020-12-17 16:11:24 [INFO] [TRAIN] epoch=12, iter=7770/40000, loss=0.3868, lr=0.008234, batch_cost=0.5184, reader_cost=0.0001 | ETA 04:38:27 2020-12-17 16:11:29 [INFO] [TRAIN] epoch=12, iter=7780/40000, loss=0.3506, lr=0.008231, batch_cost=0.5051, reader_cost=0.0001 | ETA 04:31:15 2020-12-17 16:11:33 [INFO] [TRAIN] epoch=12, iter=7790/40000, loss=0.5231, lr=0.008229, batch_cost=0.4886, reader_cost=0.0001 | ETA 04:22:19 2020-12-17 16:11:39 [INFO] [TRAIN] epoch=12, iter=7800/40000, loss=0.4662, lr=0.008227, batch_cost=0.5029, reader_cost=0.0001 | ETA 04:29:54 2020-12-17 16:11:44 [INFO] [TRAIN] epoch=12, iter=7810/40000, loss=0.5302, lr=0.008224, batch_cost=0.5145, reader_cost=0.0001 | ETA 04:36:00 2020-12-17 16:11:49 [INFO] [TRAIN] epoch=12, iter=7820/40000, loss=0.4015, lr=0.008222, batch_cost=0.5076, reader_cost=0.0001 | ETA 04:32:14 2020-12-17 16:11:54 [INFO] [TRAIN] epoch=12, iter=7830/40000, loss=0.3208, lr=0.008220, batch_cost=0.5061, reader_cost=0.0001 | ETA 04:31:22 2020-12-17 16:11:59 [INFO] [TRAIN] epoch=12, iter=7840/40000, loss=0.6105, lr=0.008218, batch_cost=0.5080, reader_cost=0.0001 | ETA 04:32:16 2020-12-17 16:12:04 [INFO] [TRAIN] epoch=12, iter=7850/40000, loss=0.5083, lr=0.008215, batch_cost=0.4892, reader_cost=0.0001 | ETA 04:22:06 2020-12-17 16:12:09 [INFO] [TRAIN] epoch=12, iter=7860/40000, loss=0.4448, lr=0.008213, batch_cost=0.4923, reader_cost=0.0001 | ETA 04:23:43 2020-12-17 16:12:14 [INFO] [TRAIN] epoch=12, iter=7870/40000, loss=0.5703, lr=0.008211, batch_cost=0.5051, reader_cost=0.0001 | ETA 04:30:29 2020-12-17 16:12:19 [INFO] [TRAIN] epoch=12, iter=7880/40000, loss=0.4452, lr=0.008208, batch_cost=0.5037, reader_cost=0.0001 | ETA 04:29:38 2020-12-17 16:12:24 [INFO] [TRAIN] epoch=12, iter=7890/40000, loss=0.3885, lr=0.008206, batch_cost=0.5088, reader_cost=0.0001 | ETA 04:32:17 2020-12-17 16:12:29 [INFO] [TRAIN] epoch=12, iter=7900/40000, loss=0.6371, lr=0.008204, batch_cost=0.5146, reader_cost=0.0032 | ETA 04:35:18 2020-12-17 16:12:34 [INFO] [TRAIN] epoch=12, iter=7910/40000, loss=0.5188, lr=0.008201, batch_cost=0.4905, reader_cost=0.0001 | ETA 04:22:21 2020-12-17 16:12:39 [INFO] [TRAIN] epoch=12, iter=7920/40000, loss=0.4221, lr=0.008199, batch_cost=0.5079, reader_cost=0.0001 | ETA 04:31:33 2020-12-17 16:12:44 [INFO] [TRAIN] epoch=12, iter=7930/40000, loss=0.4520, lr=0.008197, batch_cost=0.4563, reader_cost=0.0001 | ETA 04:03:52 2020-12-17 16:12:49 [INFO] [TRAIN] epoch=13, iter=7940/40000, loss=0.4113, lr=0.008195, batch_cost=0.5141, reader_cost=0.0253 | ETA 04:34:41 2020-12-17 16:12:54 [INFO] [TRAIN] epoch=13, iter=7950/40000, loss=0.3272, lr=0.008192, batch_cost=0.4995, reader_cost=0.0001 | ETA 04:26:47 2020-12-17 16:12:59 [INFO] [TRAIN] epoch=13, iter=7960/40000, loss=0.3712, lr=0.008190, batch_cost=0.4928, reader_cost=0.0001 | ETA 04:23:08 2020-12-17 16:13:04 [INFO] [TRAIN] epoch=13, iter=7970/40000, loss=0.4362, lr=0.008188, batch_cost=0.5009, reader_cost=0.0001 | ETA 04:27:22 2020-12-17 16:13:09 [INFO] [TRAIN] epoch=13, iter=7980/40000, loss=0.4012, lr=0.008185, batch_cost=0.5016, reader_cost=0.0001 | ETA 04:27:42 2020-12-17 16:13:14 [INFO] [TRAIN] epoch=13, iter=7990/40000, loss=0.3996, lr=0.008183, batch_cost=0.4935, reader_cost=0.0001 | ETA 04:23:17 2020-12-17 16:13:19 [INFO] [TRAIN] epoch=13, iter=8000/40000, loss=0.4014, lr=0.008181, batch_cost=0.4929, reader_cost=0.0001 | ETA 04:22:53 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:13:19 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 16:13:39 [INFO] [EVAL] #Images=1449 mIoU=0.7391 Acc=0.9411 Kappa=0.8692 2020-12-17 16:13:39 [INFO] [EVAL] Class IoU: [0.9354 0.8789 0.4019 0.8888 0.6692 0.786 0.9303 0.856 0.9061 0.306 0.8321 0.6086 0.8672 0.8509 0.8018 0.8493 0.4925 0.805 0.2869 0.8764 0.691 ] 2020-12-17 16:13:39 [INFO] [EVAL] Class Acc: [0.9612 0.9133 0.4301 0.9492 0.7707 0.878 0.9813 0.9384 0.9539 0.48 0.9031 0.7703 0.9187 0.917 0.8506 0.9259 0.9128 0.9236 0.8546 0.9453 0.7654] 2020-12-17 16:13:45 [INFO] [EVAL] The model with the best validation mIoU (0.7391) was saved at iter 8000. 2020-12-17 16:13:50 [INFO] [TRAIN] epoch=13, iter=8010/40000, loss=0.4884, lr=0.008178, batch_cost=0.4835, reader_cost=0.0001 | ETA 04:17:48 2020-12-17 16:13:56 [INFO] [TRAIN] epoch=13, iter=8020/40000, loss=0.3404, lr=0.008176, batch_cost=0.5215, reader_cost=0.0001 | ETA 04:37:57 2020-12-17 16:14:00 [INFO] [TRAIN] epoch=13, iter=8030/40000, loss=0.3635, lr=0.008174, batch_cost=0.4978, reader_cost=0.0001 | ETA 04:25:14 2020-12-17 16:14:05 [INFO] [TRAIN] epoch=13, iter=8040/40000, loss=0.3723, lr=0.008172, batch_cost=0.4876, reader_cost=0.0001 | ETA 04:19:42 2020-12-17 16:14:10 [INFO] [TRAIN] epoch=13, iter=8050/40000, loss=0.3779, lr=0.008169, batch_cost=0.4883, reader_cost=0.0004 | ETA 04:20:02 2020-12-17 16:14:15 [INFO] [TRAIN] epoch=13, iter=8060/40000, loss=0.2934, lr=0.008167, batch_cost=0.4976, reader_cost=0.0001 | ETA 04:24:54 2020-12-17 16:14:20 [INFO] [TRAIN] epoch=13, iter=8070/40000, loss=0.3513, lr=0.008165, batch_cost=0.4917, reader_cost=0.0001 | ETA 04:21:38 2020-12-17 16:14:25 [INFO] [TRAIN] epoch=13, iter=8080/40000, loss=0.3606, lr=0.008162, batch_cost=0.5028, reader_cost=0.0001 | ETA 04:27:29 2020-12-17 16:14:30 [INFO] [TRAIN] epoch=13, iter=8090/40000, loss=0.3910, lr=0.008160, batch_cost=0.4910, reader_cost=0.0001 | ETA 04:21:08 2020-12-17 16:14:35 [INFO] [TRAIN] epoch=13, iter=8100/40000, loss=0.4145, lr=0.008158, batch_cost=0.5188, reader_cost=0.0001 | ETA 04:35:49 2020-12-17 16:14:40 [INFO] [TRAIN] epoch=13, iter=8110/40000, loss=0.5429, lr=0.008155, batch_cost=0.5022, reader_cost=0.0001 | ETA 04:26:56 2020-12-17 16:14:45 [INFO] [TRAIN] epoch=13, iter=8120/40000, loss=0.3408, lr=0.008153, batch_cost=0.4991, reader_cost=0.0001 | ETA 04:25:12 2020-12-17 16:14:50 [INFO] [TRAIN] epoch=13, iter=8130/40000, loss=0.4248, lr=0.008151, batch_cost=0.4956, reader_cost=0.0001 | ETA 04:23:16 2020-12-17 16:14:55 [INFO] [TRAIN] epoch=13, iter=8140/40000, loss=0.4165, lr=0.008149, batch_cost=0.4956, reader_cost=0.0001 | ETA 04:23:08 2020-12-17 16:15:00 [INFO] [TRAIN] epoch=13, iter=8150/40000, loss=0.4091, lr=0.008146, batch_cost=0.4872, reader_cost=0.0001 | ETA 04:18:36 2020-12-17 16:15:05 [INFO] [TRAIN] epoch=13, iter=8160/40000, loss=0.4925, lr=0.008144, batch_cost=0.4913, reader_cost=0.0001 | ETA 04:20:43 2020-12-17 16:15:10 [INFO] [TRAIN] epoch=13, iter=8170/40000, loss=0.4421, lr=0.008142, batch_cost=0.4974, reader_cost=0.0001 | ETA 04:23:52 2020-12-17 16:15:15 [INFO] [TRAIN] epoch=13, iter=8180/40000, loss=0.5251, lr=0.008139, batch_cost=0.4953, reader_cost=0.0001 | ETA 04:22:39 2020-12-17 16:15:20 [INFO] [TRAIN] epoch=13, iter=8190/40000, loss=0.5840, lr=0.008137, batch_cost=0.4941, reader_cost=0.0001 | ETA 04:21:58 2020-12-17 16:15:25 [INFO] [TRAIN] epoch=13, iter=8200/40000, loss=0.4085, lr=0.008135, batch_cost=0.5000, reader_cost=0.0001 | ETA 04:24:58 2020-12-17 16:15:30 [INFO] [TRAIN] epoch=13, iter=8210/40000, loss=0.3318, lr=0.008132, batch_cost=0.5026, reader_cost=0.0001 | ETA 04:26:16 2020-12-17 16:15:35 [INFO] [TRAIN] epoch=13, iter=8220/40000, loss=0.4479, lr=0.008130, batch_cost=0.4971, reader_cost=0.0001 | ETA 04:23:16 2020-12-17 16:15:40 [INFO] [TRAIN] epoch=13, iter=8230/40000, loss=0.3443, lr=0.008128, batch_cost=0.5083, reader_cost=0.0000 | ETA 04:29:07 2020-12-17 16:15:45 [INFO] [TRAIN] epoch=13, iter=8240/40000, loss=0.3417, lr=0.008126, batch_cost=0.4993, reader_cost=0.0001 | ETA 04:24:18 2020-12-17 16:15:50 [INFO] [TRAIN] epoch=13, iter=8250/40000, loss=0.3159, lr=0.008123, batch_cost=0.4865, reader_cost=0.0001 | ETA 04:17:25 2020-12-17 16:15:55 [INFO] [TRAIN] epoch=13, iter=8260/40000, loss=0.3873, lr=0.008121, batch_cost=0.5053, reader_cost=0.0001 | ETA 04:27:17 2020-12-17 16:16:00 [INFO] [TRAIN] epoch=13, iter=8270/40000, loss=0.3452, lr=0.008119, batch_cost=0.5081, reader_cost=0.0001 | ETA 04:28:43 2020-12-17 16:16:05 [INFO] [TRAIN] epoch=13, iter=8280/40000, loss=0.5153, lr=0.008116, batch_cost=0.5015, reader_cost=0.0001 | ETA 04:25:08 2020-12-17 16:16:10 [INFO] [TRAIN] epoch=13, iter=8290/40000, loss=0.6024, lr=0.008114, batch_cost=0.5150, reader_cost=0.0001 | ETA 04:32:12 2020-12-17 16:16:15 [INFO] [TRAIN] epoch=13, iter=8300/40000, loss=0.4891, lr=0.008112, batch_cost=0.5055, reader_cost=0.0001 | ETA 04:27:02 2020-12-17 16:16:20 [INFO] [TRAIN] epoch=13, iter=8310/40000, loss=0.4117, lr=0.008109, batch_cost=0.4948, reader_cost=0.0001 | ETA 04:21:20 2020-12-17 16:16:25 [INFO] [TRAIN] epoch=13, iter=8320/40000, loss=0.5054, lr=0.008107, batch_cost=0.4960, reader_cost=0.0001 | ETA 04:21:53 2020-12-17 16:16:30 [INFO] [TRAIN] epoch=13, iter=8330/40000, loss=0.3494, lr=0.008105, batch_cost=0.5118, reader_cost=0.0001 | ETA 04:30:08 2020-12-17 16:16:35 [INFO] [TRAIN] epoch=13, iter=8340/40000, loss=0.5281, lr=0.008102, batch_cost=0.5073, reader_cost=0.0001 | ETA 04:27:41 2020-12-17 16:16:40 [INFO] [TRAIN] epoch=13, iter=8350/40000, loss=0.4689, lr=0.008100, batch_cost=0.4999, reader_cost=0.0001 | ETA 04:23:40 2020-12-17 16:16:45 [INFO] [TRAIN] epoch=13, iter=8360/40000, loss=0.7422, lr=0.008098, batch_cost=0.4958, reader_cost=0.0001 | ETA 04:21:25 2020-12-17 16:16:50 [INFO] [TRAIN] epoch=13, iter=8370/40000, loss=0.5215, lr=0.008096, batch_cost=0.5050, reader_cost=0.0001 | ETA 04:26:13 2020-12-17 16:16:55 [INFO] [TRAIN] epoch=13, iter=8380/40000, loss=0.4606, lr=0.008093, batch_cost=0.4941, reader_cost=0.0001 | ETA 04:20:22 2020-12-17 16:17:00 [INFO] [TRAIN] epoch=13, iter=8390/40000, loss=0.5907, lr=0.008091, batch_cost=0.5116, reader_cost=0.0001 | ETA 04:29:32 2020-12-17 16:17:05 [INFO] [TRAIN] epoch=13, iter=8400/40000, loss=0.4294, lr=0.008089, batch_cost=0.4924, reader_cost=0.0001 | ETA 04:19:20 2020-12-17 16:17:10 [INFO] [TRAIN] epoch=13, iter=8410/40000, loss=0.3543, lr=0.008086, batch_cost=0.5033, reader_cost=0.0001 | ETA 04:24:59 2020-12-17 16:17:15 [INFO] [TRAIN] epoch=13, iter=8420/40000, loss=0.6066, lr=0.008084, batch_cost=0.4963, reader_cost=0.0001 | ETA 04:21:12 2020-12-17 16:17:20 [INFO] [TRAIN] epoch=13, iter=8430/40000, loss=0.4749, lr=0.008082, batch_cost=0.5062, reader_cost=0.0001 | ETA 04:26:21 2020-12-17 16:17:25 [INFO] [TRAIN] epoch=13, iter=8440/40000, loss=0.5463, lr=0.008079, batch_cost=0.4799, reader_cost=0.0001 | ETA 04:12:27 2020-12-17 16:17:30 [INFO] [TRAIN] epoch=13, iter=8450/40000, loss=0.8328, lr=0.008077, batch_cost=0.4901, reader_cost=0.0001 | ETA 04:17:42 2020-12-17 16:17:35 [INFO] [TRAIN] epoch=13, iter=8460/40000, loss=0.5946, lr=0.008075, batch_cost=0.5323, reader_cost=0.0001 | ETA 04:39:47 2020-12-17 16:17:42 [INFO] [TRAIN] epoch=13, iter=8470/40000, loss=0.4833, lr=0.008073, batch_cost=0.6656, reader_cost=0.0022 | ETA 05:49:47 2020-12-17 16:17:47 [INFO] [TRAIN] epoch=13, iter=8480/40000, loss=0.4295, lr=0.008070, batch_cost=0.5093, reader_cost=0.0001 | ETA 04:27:34 2020-12-17 16:17:52 [INFO] [TRAIN] epoch=13, iter=8490/40000, loss=0.4092, lr=0.008068, batch_cost=0.5190, reader_cost=0.0001 | ETA 04:32:34 2020-12-17 16:17:58 [INFO] [TRAIN] epoch=13, iter=8500/40000, loss=0.4759, lr=0.008066, batch_cost=0.5819, reader_cost=0.0001 | ETA 05:05:28 2020-12-17 16:18:03 [INFO] [TRAIN] epoch=13, iter=8510/40000, loss=0.5132, lr=0.008063, batch_cost=0.4880, reader_cost=0.0001 | ETA 04:16:07 2020-12-17 16:18:08 [INFO] [TRAIN] epoch=13, iter=8520/40000, loss=0.3196, lr=0.008061, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:40:34 2020-12-17 16:18:14 [INFO] [TRAIN] epoch=13, iter=8530/40000, loss=0.6453, lr=0.008059, batch_cost=0.5923, reader_cost=0.0001 | ETA 05:10:40 2020-12-17 16:18:19 [INFO] [TRAIN] epoch=13, iter=8540/40000, loss=0.4170, lr=0.008056, batch_cost=0.5011, reader_cost=0.0001 | ETA 04:22:45 2020-12-17 16:18:25 [INFO] [TRAIN] epoch=13, iter=8550/40000, loss=0.4419, lr=0.008054, batch_cost=0.5287, reader_cost=0.0001 | ETA 04:37:07 2020-12-17 16:18:30 [INFO] [TRAIN] epoch=13, iter=8560/40000, loss=0.7727, lr=0.008052, batch_cost=0.5683, reader_cost=0.0001 | ETA 04:57:46 2020-12-17 16:18:37 [INFO] [TRAIN] epoch=13, iter=8570/40000, loss=0.3054, lr=0.008049, batch_cost=0.6522, reader_cost=0.0001 | ETA 05:41:39 2020-12-17 16:18:47 [INFO] [TRAIN] epoch=13, iter=8580/40000, loss=0.3475, lr=0.008047, batch_cost=0.9860, reader_cost=0.0045 | ETA 08:36:20 2020-12-17 16:18:53 [INFO] [TRAIN] epoch=13, iter=8590/40000, loss=0.3743, lr=0.008045, batch_cost=0.6224, reader_cost=0.0024 | ETA 05:25:48 2020-12-17 16:18:59 [INFO] [TRAIN] epoch=14, iter=8600/40000, loss=0.8682, lr=0.008043, batch_cost=0.6269, reader_cost=0.0343 | ETA 05:28:04 2020-12-17 16:19:05 [INFO] [TRAIN] epoch=14, iter=8610/40000, loss=0.4332, lr=0.008040, batch_cost=0.5822, reader_cost=0.0001 | ETA 05:04:35 2020-12-17 16:19:11 [INFO] [TRAIN] epoch=14, iter=8620/40000, loss=0.5015, lr=0.008038, batch_cost=0.6474, reader_cost=0.0007 | ETA 05:38:35 2020-12-17 16:19:19 [INFO] [TRAIN] epoch=14, iter=8630/40000, loss=0.5195, lr=0.008036, batch_cost=0.7719, reader_cost=0.0001 | ETA 06:43:35 2020-12-17 16:19:26 [INFO] [TRAIN] epoch=14, iter=8640/40000, loss=0.4689, lr=0.008033, batch_cost=0.6674, reader_cost=0.0060 | ETA 05:48:50 2020-12-17 16:19:31 [INFO] [TRAIN] epoch=14, iter=8650/40000, loss=0.5937, lr=0.008031, batch_cost=0.5061, reader_cost=0.0001 | ETA 04:24:26 2020-12-17 16:19:41 [INFO] [TRAIN] epoch=14, iter=8660/40000, loss=0.4438, lr=0.008029, batch_cost=0.9868, reader_cost=0.0051 | ETA 08:35:26 2020-12-17 16:19:49 [INFO] [TRAIN] epoch=14, iter=8670/40000, loss=0.5447, lr=0.008026, batch_cost=0.7787, reader_cost=0.0021 | ETA 06:46:35 2020-12-17 16:19:54 [INFO] [TRAIN] epoch=14, iter=8680/40000, loss=0.4086, lr=0.008024, batch_cost=0.5544, reader_cost=0.0006 | ETA 04:49:25 2020-12-17 16:20:00 [INFO] [TRAIN] epoch=14, iter=8690/40000, loss=0.3888, lr=0.008022, batch_cost=0.5973, reader_cost=0.0001 | ETA 05:11:40 2020-12-17 16:20:06 [INFO] [TRAIN] epoch=14, iter=8700/40000, loss=0.5211, lr=0.008020, batch_cost=0.6297, reader_cost=0.0007 | ETA 05:28:29 2020-12-17 16:20:11 [INFO] [TRAIN] epoch=14, iter=8710/40000, loss=0.4713, lr=0.008017, batch_cost=0.4926, reader_cost=0.0001 | ETA 04:16:55 2020-12-17 16:20:16 [INFO] [TRAIN] epoch=14, iter=8720/40000, loss=0.4768, lr=0.008015, batch_cost=0.4831, reader_cost=0.0001 | ETA 04:11:50 2020-12-17 16:20:23 [INFO] [TRAIN] epoch=14, iter=8730/40000, loss=0.4324, lr=0.008013, batch_cost=0.6629, reader_cost=0.0001 | ETA 05:45:28 2020-12-17 16:20:28 [INFO] [TRAIN] epoch=14, iter=8740/40000, loss=0.6449, lr=0.008010, batch_cost=0.5382, reader_cost=0.0033 | ETA 04:40:23 2020-12-17 16:20:33 [INFO] [TRAIN] epoch=14, iter=8750/40000, loss=0.4040, lr=0.008008, batch_cost=0.5368, reader_cost=0.0001 | ETA 04:39:34 2020-12-17 16:20:39 [INFO] [TRAIN] epoch=14, iter=8760/40000, loss=0.5457, lr=0.008006, batch_cost=0.5041, reader_cost=0.0001 | ETA 04:22:27 2020-12-17 16:20:44 [INFO] [TRAIN] epoch=14, iter=8770/40000, loss=0.3322, lr=0.008003, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:40:34 2020-12-17 16:20:49 [INFO] [TRAIN] epoch=14, iter=8780/40000, loss=0.4293, lr=0.008001, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:39:56 2020-12-17 16:20:54 [INFO] [TRAIN] epoch=14, iter=8790/40000, loss=0.4372, lr=0.007999, batch_cost=0.4791, reader_cost=0.0001 | ETA 04:09:12 2020-12-17 16:20:59 [INFO] [TRAIN] epoch=14, iter=8800/40000, loss=0.4961, lr=0.007996, batch_cost=0.4853, reader_cost=0.0001 | ETA 04:12:21 2020-12-17 16:21:04 [INFO] [TRAIN] epoch=14, iter=8810/40000, loss=0.5875, lr=0.007994, batch_cost=0.4968, reader_cost=0.0001 | ETA 04:18:15 2020-12-17 16:21:09 [INFO] [TRAIN] epoch=14, iter=8820/40000, loss=0.6155, lr=0.007992, batch_cost=0.5104, reader_cost=0.0001 | ETA 04:25:12 2020-12-17 16:21:14 [INFO] [TRAIN] epoch=14, iter=8830/40000, loss=0.4170, lr=0.007990, batch_cost=0.4850, reader_cost=0.0001 | ETA 04:11:56 2020-12-17 16:21:20 [INFO] [TRAIN] epoch=14, iter=8840/40000, loss=0.3135, lr=0.007987, batch_cost=0.6352, reader_cost=0.0001 | ETA 05:29:51 2020-12-17 16:21:27 [INFO] [TRAIN] epoch=14, iter=8850/40000, loss=0.6628, lr=0.007985, batch_cost=0.6392, reader_cost=0.0001 | ETA 05:31:51 2020-12-17 16:21:32 [INFO] [TRAIN] epoch=14, iter=8860/40000, loss=0.4033, lr=0.007983, batch_cost=0.4951, reader_cost=0.0001 | ETA 04:16:57 2020-12-17 16:21:36 [INFO] [TRAIN] epoch=14, iter=8870/40000, loss=0.3119, lr=0.007980, batch_cost=0.4847, reader_cost=0.0001 | ETA 04:11:27 2020-12-17 16:21:41 [INFO] [TRAIN] epoch=14, iter=8880/40000, loss=0.4275, lr=0.007978, batch_cost=0.4864, reader_cost=0.0001 | ETA 04:12:15 2020-12-17 16:21:46 [INFO] [TRAIN] epoch=14, iter=8890/40000, loss=0.4589, lr=0.007976, batch_cost=0.4857, reader_cost=0.0001 | ETA 04:11:51 2020-12-17 16:21:51 [INFO] [TRAIN] epoch=14, iter=8900/40000, loss=0.4666, lr=0.007973, batch_cost=0.4845, reader_cost=0.0001 | ETA 04:11:07 2020-12-17 16:21:56 [INFO] [TRAIN] epoch=14, iter=8910/40000, loss=0.3619, lr=0.007971, batch_cost=0.4800, reader_cost=0.0001 | ETA 04:08:42 2020-12-17 16:22:01 [INFO] [TRAIN] epoch=14, iter=8920/40000, loss=0.4433, lr=0.007969, batch_cost=0.4813, reader_cost=0.0001 | ETA 04:09:17 2020-12-17 16:22:05 [INFO] [TRAIN] epoch=14, iter=8930/40000, loss=0.3687, lr=0.007966, batch_cost=0.4867, reader_cost=0.0001 | ETA 04:12:01 2020-12-17 16:22:10 [INFO] [TRAIN] epoch=14, iter=8940/40000, loss=0.2990, lr=0.007964, batch_cost=0.4947, reader_cost=0.0001 | ETA 04:16:04 2020-12-17 16:22:15 [INFO] [TRAIN] epoch=14, iter=8950/40000, loss=0.3232, lr=0.007962, batch_cost=0.4891, reader_cost=0.0001 | ETA 04:13:05 2020-12-17 16:22:21 [INFO] [TRAIN] epoch=14, iter=8960/40000, loss=0.3797, lr=0.007960, batch_cost=0.5487, reader_cost=0.0001 | ETA 04:43:52 2020-12-17 16:22:27 [INFO] [TRAIN] epoch=14, iter=8970/40000, loss=0.4615, lr=0.007957, batch_cost=0.6041, reader_cost=0.0001 | ETA 05:12:25 2020-12-17 16:22:32 [INFO] [TRAIN] epoch=14, iter=8980/40000, loss=0.4448, lr=0.007955, batch_cost=0.4842, reader_cost=0.0001 | ETA 04:10:20 2020-12-17 16:22:37 [INFO] [TRAIN] epoch=14, iter=8990/40000, loss=0.3703, lr=0.007953, batch_cost=0.4926, reader_cost=0.0001 | ETA 04:14:36 2020-12-17 16:22:42 [INFO] [TRAIN] epoch=14, iter=9000/40000, loss=0.3807, lr=0.007950, batch_cost=0.5220, reader_cost=0.0001 | ETA 04:29:40 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:22:42 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 16:23:00 [INFO] [EVAL] #Images=1449 mIoU=0.7307 Acc=0.9387 Kappa=0.8633 2020-12-17 16:23:00 [INFO] [EVAL] Class IoU: [0.9313 0.888 0.3913 0.8717 0.6828 0.7658 0.9299 0.8353 0.8931 0.3699 0.8241 0.3929 0.8507 0.8446 0.7276 0.8458 0.5527 0.7789 0.3818 0.8736 0.713 ] 2020-12-17 16:23:00 [INFO] [EVAL] Class Acc: [0.9567 0.9289 0.4238 0.9248 0.7217 0.864 0.9827 0.889 0.9553 0.647 0.8781 0.9521 0.896 0.9335 0.7712 0.9299 0.7908 0.951 0.8388 0.9072 0.9057] 2020-12-17 16:23:05 [INFO] [EVAL] The model with the best validation mIoU (0.7391) was saved at iter 8000. 2020-12-17 16:23:10 [INFO] [TRAIN] epoch=14, iter=9010/40000, loss=0.3168, lr=0.007948, batch_cost=0.4720, reader_cost=0.0001 | ETA 04:03:46 2020-12-17 16:23:15 [INFO] [TRAIN] epoch=14, iter=9020/40000, loss=0.4303, lr=0.007946, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:37:17 2020-12-17 16:23:21 [INFO] [TRAIN] epoch=14, iter=9030/40000, loss=0.3810, lr=0.007943, batch_cost=0.6196, reader_cost=0.0008 | ETA 05:19:49 2020-12-17 16:23:26 [INFO] [TRAIN] epoch=14, iter=9040/40000, loss=0.4128, lr=0.007941, batch_cost=0.4758, reader_cost=0.0001 | ETA 04:05:31 2020-12-17 16:23:31 [INFO] [TRAIN] epoch=14, iter=9050/40000, loss=0.4573, lr=0.007939, batch_cost=0.4967, reader_cost=0.0080 | ETA 04:16:11 2020-12-17 16:23:36 [INFO] [TRAIN] epoch=14, iter=9060/40000, loss=0.4087, lr=0.007936, batch_cost=0.4832, reader_cost=0.0001 | ETA 04:09:08 2020-12-17 16:23:41 [INFO] [TRAIN] epoch=14, iter=9070/40000, loss=0.4505, lr=0.007934, batch_cost=0.4811, reader_cost=0.0002 | ETA 04:08:00 2020-12-17 16:23:45 [INFO] [TRAIN] epoch=14, iter=9080/40000, loss=0.3808, lr=0.007932, batch_cost=0.4818, reader_cost=0.0001 | ETA 04:08:18 2020-12-17 16:23:50 [INFO] [TRAIN] epoch=14, iter=9090/40000, loss=0.5143, lr=0.007930, batch_cost=0.4874, reader_cost=0.0001 | ETA 04:11:06 2020-12-17 16:23:55 [INFO] [TRAIN] epoch=14, iter=9100/40000, loss=0.4128, lr=0.007927, batch_cost=0.4776, reader_cost=0.0001 | ETA 04:05:57 2020-12-17 16:24:00 [INFO] [TRAIN] epoch=14, iter=9110/40000, loss=0.6416, lr=0.007925, batch_cost=0.4726, reader_cost=0.0001 | ETA 04:03:19 2020-12-17 16:24:05 [INFO] [TRAIN] epoch=14, iter=9120/40000, loss=0.3793, lr=0.007923, batch_cost=0.4803, reader_cost=0.0001 | ETA 04:07:11 2020-12-17 16:24:11 [INFO] [TRAIN] epoch=14, iter=9130/40000, loss=0.5250, lr=0.007920, batch_cost=0.6093, reader_cost=0.0001 | ETA 05:13:28 2020-12-17 16:24:17 [INFO] [TRAIN] epoch=14, iter=9140/40000, loss=0.4184, lr=0.007918, batch_cost=0.6058, reader_cost=0.0156 | ETA 05:11:35 2020-12-17 16:24:22 [INFO] [TRAIN] epoch=14, iter=9150/40000, loss=0.4454, lr=0.007916, batch_cost=0.4864, reader_cost=0.0001 | ETA 04:10:04 2020-12-17 16:24:26 [INFO] [TRAIN] epoch=14, iter=9160/40000, loss=0.3510, lr=0.007913, batch_cost=0.4910, reader_cost=0.0001 | ETA 04:12:23 2020-12-17 16:24:31 [INFO] [TRAIN] epoch=14, iter=9170/40000, loss=0.4284, lr=0.007911, batch_cost=0.4900, reader_cost=0.0004 | ETA 04:11:48 2020-12-17 16:24:36 [INFO] [TRAIN] epoch=14, iter=9180/40000, loss=0.5373, lr=0.007909, batch_cost=0.4875, reader_cost=0.0001 | ETA 04:10:23 2020-12-17 16:24:42 [INFO] [TRAIN] epoch=14, iter=9190/40000, loss=0.3545, lr=0.007906, batch_cost=0.5751, reader_cost=0.0001 | ETA 04:55:18 2020-12-17 16:24:47 [INFO] [TRAIN] epoch=14, iter=9200/40000, loss=0.2946, lr=0.007904, batch_cost=0.4858, reader_cost=0.0001 | ETA 04:09:23 2020-12-17 16:24:52 [INFO] [TRAIN] epoch=14, iter=9210/40000, loss=0.5196, lr=0.007902, batch_cost=0.4879, reader_cost=0.0002 | ETA 04:10:22 2020-12-17 16:24:57 [INFO] [TRAIN] epoch=14, iter=9220/40000, loss=0.4869, lr=0.007900, batch_cost=0.4767, reader_cost=0.0001 | ETA 04:04:32 2020-12-17 16:25:01 [INFO] [TRAIN] epoch=14, iter=9230/40000, loss=0.4456, lr=0.007897, batch_cost=0.4788, reader_cost=0.0001 | ETA 04:05:31 2020-12-17 16:25:06 [INFO] [TRAIN] epoch=14, iter=9240/40000, loss=0.3647, lr=0.007895, batch_cost=0.4812, reader_cost=0.0001 | ETA 04:06:42 2020-12-17 16:25:12 [INFO] [TRAIN] epoch=14, iter=9250/40000, loss=0.5004, lr=0.007893, batch_cost=0.5632, reader_cost=0.0013 | ETA 04:48:38 2020-12-17 16:25:17 [INFO] [TRAIN] epoch=15, iter=9260/40000, loss=0.5601, lr=0.007890, batch_cost=0.4805, reader_cost=0.0312 | ETA 04:06:11 2020-12-17 16:25:21 [INFO] [TRAIN] epoch=15, iter=9270/40000, loss=0.4341, lr=0.007888, batch_cost=0.4743, reader_cost=0.0001 | ETA 04:02:56 2020-12-17 16:25:26 [INFO] [TRAIN] epoch=15, iter=9280/40000, loss=0.4075, lr=0.007886, batch_cost=0.4886, reader_cost=0.0001 | ETA 04:10:09 2020-12-17 16:25:37 [INFO] [TRAIN] epoch=15, iter=9290/40000, loss=0.4471, lr=0.007883, batch_cost=1.0746, reader_cost=0.0214 | ETA 09:10:02 2020-12-17 16:25:42 [INFO] [TRAIN] epoch=15, iter=9300/40000, loss=0.3795, lr=0.007881, batch_cost=0.5493, reader_cost=0.0001 | ETA 04:41:04 2020-12-17 16:25:48 [INFO] [TRAIN] epoch=15, iter=9310/40000, loss=0.3815, lr=0.007879, batch_cost=0.5349, reader_cost=0.0003 | ETA 04:33:36 2020-12-17 16:25:53 [INFO] [TRAIN] epoch=15, iter=9320/40000, loss=0.2807, lr=0.007876, batch_cost=0.4950, reader_cost=0.0001 | ETA 04:13:06 2020-12-17 16:25:58 [INFO] [TRAIN] epoch=15, iter=9330/40000, loss=0.4255, lr=0.007874, batch_cost=0.5177, reader_cost=0.0001 | ETA 04:24:38 2020-12-17 16:26:03 [INFO] [TRAIN] epoch=15, iter=9340/40000, loss=0.4246, lr=0.007872, batch_cost=0.4884, reader_cost=0.0001 | ETA 04:09:33 2020-12-17 16:26:08 [INFO] [TRAIN] epoch=15, iter=9350/40000, loss=0.4503, lr=0.007869, batch_cost=0.4904, reader_cost=0.0001 | ETA 04:10:31 2020-12-17 16:26:13 [INFO] [TRAIN] epoch=15, iter=9360/40000, loss=0.4959, lr=0.007867, batch_cost=0.4807, reader_cost=0.0001 | ETA 04:05:29 2020-12-17 16:26:17 [INFO] [TRAIN] epoch=15, iter=9370/40000, loss=0.6142, lr=0.007865, batch_cost=0.4819, reader_cost=0.0001 | ETA 04:06:01 2020-12-17 16:26:22 [INFO] [TRAIN] epoch=15, iter=9380/40000, loss=0.5118, lr=0.007863, batch_cost=0.4897, reader_cost=0.0001 | ETA 04:09:55 2020-12-17 16:26:28 [INFO] [TRAIN] epoch=15, iter=9390/40000, loss=0.4314, lr=0.007860, batch_cost=0.5494, reader_cost=0.0001 | ETA 04:40:15 2020-12-17 16:26:38 [INFO] [TRAIN] epoch=15, iter=9400/40000, loss=0.3324, lr=0.007858, batch_cost=0.9872, reader_cost=0.0242 | ETA 08:23:29 2020-12-17 16:26:42 [INFO] [TRAIN] epoch=15, iter=9410/40000, loss=0.3154, lr=0.007856, batch_cost=0.4750, reader_cost=0.0001 | ETA 04:02:09 2020-12-17 16:26:47 [INFO] [TRAIN] epoch=15, iter=9420/40000, loss=0.3551, lr=0.007853, batch_cost=0.5043, reader_cost=0.0001 | ETA 04:17:01 2020-12-17 16:26:52 [INFO] [TRAIN] epoch=15, iter=9430/40000, loss=0.3413, lr=0.007851, batch_cost=0.4972, reader_cost=0.0001 | ETA 04:13:19 2020-12-17 16:26:57 [INFO] [TRAIN] epoch=15, iter=9440/40000, loss=0.4274, lr=0.007849, batch_cost=0.4758, reader_cost=0.0001 | ETA 04:02:19 2020-12-17 16:27:02 [INFO] [TRAIN] epoch=15, iter=9450/40000, loss=0.4538, lr=0.007846, batch_cost=0.4778, reader_cost=0.0001 | ETA 04:03:16 2020-12-17 16:27:08 [INFO] [TRAIN] epoch=15, iter=9460/40000, loss=0.2989, lr=0.007844, batch_cost=0.5628, reader_cost=0.0001 | ETA 04:46:29 2020-12-17 16:27:13 [INFO] [TRAIN] epoch=15, iter=9470/40000, loss=0.4008, lr=0.007842, batch_cost=0.5121, reader_cost=0.0001 | ETA 04:20:33 2020-12-17 16:27:17 [INFO] [TRAIN] epoch=15, iter=9480/40000, loss=0.3702, lr=0.007839, batch_cost=0.4770, reader_cost=0.0001 | ETA 04:02:38 2020-12-17 16:27:24 [INFO] [TRAIN] epoch=15, iter=9490/40000, loss=0.4097, lr=0.007837, batch_cost=0.7041, reader_cost=0.0086 | ETA 05:58:02 2020-12-17 16:27:31 [INFO] [TRAIN] epoch=15, iter=9500/40000, loss=0.2964, lr=0.007835, batch_cost=0.6928, reader_cost=0.0001 | ETA 05:52:09 2020-12-17 16:27:36 [INFO] [TRAIN] epoch=15, iter=9510/40000, loss=0.3400, lr=0.007833, batch_cost=0.4979, reader_cost=0.0001 | ETA 04:12:59 2020-12-17 16:27:42 [INFO] [TRAIN] epoch=15, iter=9520/40000, loss=0.4224, lr=0.007830, batch_cost=0.5682, reader_cost=0.0001 | ETA 04:48:37 2020-12-17 16:27:47 [INFO] [TRAIN] epoch=15, iter=9530/40000, loss=0.3700, lr=0.007828, batch_cost=0.4986, reader_cost=0.0001 | ETA 04:13:12 2020-12-17 16:27:52 [INFO] [TRAIN] epoch=15, iter=9540/40000, loss=0.4561, lr=0.007826, batch_cost=0.4990, reader_cost=0.0001 | ETA 04:13:19 2020-12-17 16:27:58 [INFO] [TRAIN] epoch=15, iter=9550/40000, loss=0.3324, lr=0.007823, batch_cost=0.5804, reader_cost=0.0001 | ETA 04:54:32 2020-12-17 16:28:04 [INFO] [TRAIN] epoch=15, iter=9560/40000, loss=0.4871, lr=0.007821, batch_cost=0.6650, reader_cost=0.0001 | ETA 05:37:22 2020-12-17 16:28:09 [INFO] [TRAIN] epoch=15, iter=9570/40000, loss=0.3120, lr=0.007819, batch_cost=0.4860, reader_cost=0.0001 | ETA 04:06:29 2020-12-17 16:28:16 [INFO] [TRAIN] epoch=15, iter=9580/40000, loss=0.4605, lr=0.007816, batch_cost=0.6331, reader_cost=0.0086 | ETA 05:21:00 2020-12-17 16:28:23 [INFO] [TRAIN] epoch=15, iter=9590/40000, loss=0.3341, lr=0.007814, batch_cost=0.7088, reader_cost=0.0030 | ETA 05:59:13 2020-12-17 16:28:29 [INFO] [TRAIN] epoch=15, iter=9600/40000, loss=0.4498, lr=0.007812, batch_cost=0.5866, reader_cost=0.0001 | ETA 04:57:13 2020-12-17 16:28:33 [INFO] [TRAIN] epoch=15, iter=9610/40000, loss=0.4540, lr=0.007809, batch_cost=0.4755, reader_cost=0.0001 | ETA 04:00:50 2020-12-17 16:28:38 [INFO] [TRAIN] epoch=15, iter=9620/40000, loss=0.3816, lr=0.007807, batch_cost=0.4702, reader_cost=0.0001 | ETA 03:58:06 2020-12-17 16:28:43 [INFO] [TRAIN] epoch=15, iter=9630/40000, loss=0.3224, lr=0.007805, batch_cost=0.4823, reader_cost=0.0001 | ETA 04:04:06 2020-12-17 16:28:48 [INFO] [TRAIN] epoch=15, iter=9640/40000, loss=0.4007, lr=0.007802, batch_cost=0.4804, reader_cost=0.0001 | ETA 04:03:04 2020-12-17 16:28:53 [INFO] [TRAIN] epoch=15, iter=9650/40000, loss=0.5645, lr=0.007800, batch_cost=0.5465, reader_cost=0.0009 | ETA 04:36:25 2020-12-17 16:28:58 [INFO] [TRAIN] epoch=15, iter=9660/40000, loss=0.3779, lr=0.007798, batch_cost=0.4783, reader_cost=0.0001 | ETA 04:01:50 2020-12-17 16:29:03 [INFO] [TRAIN] epoch=15, iter=9670/40000, loss=0.3959, lr=0.007796, batch_cost=0.4763, reader_cost=0.0001 | ETA 04:00:46 2020-12-17 16:29:08 [INFO] [TRAIN] epoch=15, iter=9680/40000, loss=0.3533, lr=0.007793, batch_cost=0.4867, reader_cost=0.0001 | ETA 04:05:56 2020-12-17 16:29:13 [INFO] [TRAIN] epoch=15, iter=9690/40000, loss=0.4336, lr=0.007791, batch_cost=0.4943, reader_cost=0.0004 | ETA 04:09:42 2020-12-17 16:29:17 [INFO] [TRAIN] epoch=15, iter=9700/40000, loss=0.3396, lr=0.007789, batch_cost=0.4884, reader_cost=0.0001 | ETA 04:06:38 2020-12-17 16:29:22 [INFO] [TRAIN] epoch=15, iter=9710/40000, loss=0.3829, lr=0.007786, batch_cost=0.4831, reader_cost=0.0001 | ETA 04:03:52 2020-12-17 16:29:27 [INFO] [TRAIN] epoch=15, iter=9720/40000, loss=0.3854, lr=0.007784, batch_cost=0.4737, reader_cost=0.0001 | ETA 03:59:04 2020-12-17 16:29:33 [INFO] [TRAIN] epoch=15, iter=9730/40000, loss=0.3580, lr=0.007782, batch_cost=0.5705, reader_cost=0.0032 | ETA 04:47:49 2020-12-17 16:29:38 [INFO] [TRAIN] epoch=15, iter=9740/40000, loss=0.4483, lr=0.007779, batch_cost=0.4803, reader_cost=0.0001 | ETA 04:02:14 2020-12-17 16:29:42 [INFO] [TRAIN] epoch=15, iter=9750/40000, loss=0.3944, lr=0.007777, batch_cost=0.4702, reader_cost=0.0001 | ETA 03:57:04 2020-12-17 16:29:47 [INFO] [TRAIN] epoch=15, iter=9760/40000, loss=0.5174, lr=0.007775, batch_cost=0.4891, reader_cost=0.0001 | ETA 04:06:29 2020-12-17 16:29:52 [INFO] [TRAIN] epoch=15, iter=9770/40000, loss=0.2401, lr=0.007772, batch_cost=0.4722, reader_cost=0.0001 | ETA 03:57:53 2020-12-17 16:29:57 [INFO] [TRAIN] epoch=15, iter=9780/40000, loss=0.4490, lr=0.007770, batch_cost=0.5017, reader_cost=0.0001 | ETA 04:12:40 2020-12-17 16:30:02 [INFO] [TRAIN] epoch=15, iter=9790/40000, loss=0.3612, lr=0.007768, batch_cost=0.4774, reader_cost=0.0001 | ETA 04:00:21 2020-12-17 16:30:07 [INFO] [TRAIN] epoch=15, iter=9800/40000, loss=0.4011, lr=0.007765, batch_cost=0.5772, reader_cost=0.0001 | ETA 04:50:31 2020-12-17 16:30:12 [INFO] [TRAIN] epoch=15, iter=9810/40000, loss=0.5222, lr=0.007763, batch_cost=0.4854, reader_cost=0.0004 | ETA 04:04:15 2020-12-17 16:30:17 [INFO] [TRAIN] epoch=15, iter=9820/40000, loss=0.3441, lr=0.007761, batch_cost=0.4735, reader_cost=0.0001 | ETA 03:58:10 2020-12-17 16:30:22 [INFO] [TRAIN] epoch=15, iter=9830/40000, loss=0.3558, lr=0.007758, batch_cost=0.4929, reader_cost=0.0001 | ETA 04:07:50 2020-12-17 16:30:27 [INFO] [TRAIN] epoch=15, iter=9840/40000, loss=0.4310, lr=0.007756, batch_cost=0.5342, reader_cost=0.0001 | ETA 04:28:32 2020-12-17 16:30:32 [INFO] [TRAIN] epoch=15, iter=9850/40000, loss=0.5491, lr=0.007754, batch_cost=0.4827, reader_cost=0.0001 | ETA 04:02:34 2020-12-17 16:30:38 [INFO] [TRAIN] epoch=15, iter=9860/40000, loss=0.4774, lr=0.007752, batch_cost=0.5492, reader_cost=0.0001 | ETA 04:35:53 2020-12-17 16:30:44 [INFO] [TRAIN] epoch=15, iter=9870/40000, loss=0.3572, lr=0.007749, batch_cost=0.6470, reader_cost=0.0043 | ETA 05:24:53 2020-12-17 16:30:49 [INFO] [TRAIN] epoch=15, iter=9880/40000, loss=0.3322, lr=0.007747, batch_cost=0.4714, reader_cost=0.0001 | ETA 03:56:38 2020-12-17 16:30:53 [INFO] [TRAIN] epoch=15, iter=9890/40000, loss=0.2953, lr=0.007745, batch_cost=0.4702, reader_cost=0.0004 | ETA 03:55:58 2020-12-17 16:31:01 [INFO] [TRAIN] epoch=15, iter=9900/40000, loss=0.2519, lr=0.007742, batch_cost=0.7636, reader_cost=0.0007 | ETA 06:23:05 2020-12-17 16:31:06 [INFO] [TRAIN] epoch=15, iter=9910/40000, loss=0.3515, lr=0.007740, batch_cost=0.4903, reader_cost=0.0067 | ETA 04:05:51 2020-12-17 16:31:11 [INFO] [TRAIN] epoch=16, iter=9920/40000, loss=0.3994, lr=0.007738, batch_cost=0.4777, reader_cost=0.0242 | ETA 03:59:28 2020-12-17 16:31:16 [INFO] [TRAIN] epoch=16, iter=9930/40000, loss=0.3179, lr=0.007735, batch_cost=0.5589, reader_cost=0.0001 | ETA 04:40:07 2020-12-17 16:31:21 [INFO] [TRAIN] epoch=16, iter=9940/40000, loss=0.3782, lr=0.007733, batch_cost=0.4732, reader_cost=0.0001 | ETA 03:57:04 2020-12-17 16:31:26 [INFO] [TRAIN] epoch=16, iter=9950/40000, loss=0.4613, lr=0.007731, batch_cost=0.4732, reader_cost=0.0001 | ETA 03:56:58 2020-12-17 16:31:31 [INFO] [TRAIN] epoch=16, iter=9960/40000, loss=0.5436, lr=0.007728, batch_cost=0.4708, reader_cost=0.0001 | ETA 03:55:41 2020-12-17 16:31:35 [INFO] [TRAIN] epoch=16, iter=9970/40000, loss=0.4861, lr=0.007726, batch_cost=0.4816, reader_cost=0.0001 | ETA 04:01:03 2020-12-17 16:31:40 [INFO] [TRAIN] epoch=16, iter=9980/40000, loss=0.3259, lr=0.007724, batch_cost=0.4804, reader_cost=0.0001 | ETA 04:00:21 2020-12-17 16:31:46 [INFO] [TRAIN] epoch=16, iter=9990/40000, loss=0.4459, lr=0.007721, batch_cost=0.5580, reader_cost=0.0001 | ETA 04:39:04 2020-12-17 16:31:53 [INFO] [TRAIN] epoch=16, iter=10000/40000, loss=0.3183, lr=0.007719, batch_cost=0.7407, reader_cost=0.0077 | ETA 06:10:21 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-17 16:31:53 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 16:32:12 [INFO] [EVAL] #Images=1449 mIoU=0.7249 Acc=0.9353 Kappa=0.8596 2020-12-17 16:32:12 [INFO] [EVAL] Class IoU: [0.9316 0.8627 0.3828 0.8453 0.667 0.7532 0.9311 0.8772 0.8285 0.3185 0.8278 0.4768 0.7254 0.863 0.7581 0.8351 0.5776 0.7729 0.4986 0.8457 0.6435] 2020-12-17 16:32:12 [INFO] [EVAL] Class Acc: [0.9684 0.8855 0.3959 0.9435 0.7211 0.8328 0.9568 0.9438 0.9462 0.6015 0.9257 0.8391 0.7455 0.9195 0.7796 0.9019 0.7356 0.9117 0.7267 0.8967 0.7207] 2020-12-17 16:32:16 [INFO] [EVAL] The model with the best validation mIoU (0.7391) was saved at iter 8000. 2020-12-17 16:32:21 [INFO] [TRAIN] epoch=16, iter=10010/40000, loss=0.4517, lr=0.007717, batch_cost=0.4749, reader_cost=0.0001 | ETA 03:57:21 2020-12-17 16:32:25 [INFO] [TRAIN] epoch=16, iter=10020/40000, loss=0.4174, lr=0.007714, batch_cost=0.4781, reader_cost=0.0001 | ETA 03:58:53 2020-12-17 16:32:30 [INFO] [TRAIN] epoch=16, iter=10030/40000, loss=0.5321, lr=0.007712, batch_cost=0.4749, reader_cost=0.0001 | ETA 03:57:12 2020-12-17 16:32:35 [INFO] [TRAIN] epoch=16, iter=10040/40000, loss=0.4034, lr=0.007710, batch_cost=0.4905, reader_cost=0.0001 | ETA 04:04:56 2020-12-17 16:32:42 [INFO] [TRAIN] epoch=16, iter=10050/40000, loss=0.5391, lr=0.007708, batch_cost=0.7032, reader_cost=0.0001 | ETA 05:51:01 2020-12-17 16:32:47 [INFO] [TRAIN] epoch=16, iter=10060/40000, loss=0.3558, lr=0.007705, batch_cost=0.4878, reader_cost=0.0001 | ETA 04:03:24 2020-12-17 16:32:52 [INFO] [TRAIN] epoch=16, iter=10070/40000, loss=0.4492, lr=0.007703, batch_cost=0.4887, reader_cost=0.0001 | ETA 04:03:46 2020-12-17 16:32:57 [INFO] [TRAIN] epoch=16, iter=10080/40000, loss=0.4253, lr=0.007701, batch_cost=0.5011, reader_cost=0.0001 | ETA 04:09:52 2020-12-17 16:33:02 [INFO] [TRAIN] epoch=16, iter=10090/40000, loss=0.3342, lr=0.007698, batch_cost=0.4826, reader_cost=0.0001 | ETA 04:00:35 2020-12-17 16:33:07 [INFO] [TRAIN] epoch=16, iter=10100/40000, loss=0.6088, lr=0.007696, batch_cost=0.4948, reader_cost=0.0001 | ETA 04:06:34 2020-12-17 16:33:11 [INFO] [TRAIN] epoch=16, iter=10110/40000, loss=0.4636, lr=0.007694, batch_cost=0.4796, reader_cost=0.0001 | ETA 03:58:53 2020-12-17 16:33:16 [INFO] [TRAIN] epoch=16, iter=10120/40000, loss=0.5182, lr=0.007691, batch_cost=0.4716, reader_cost=0.0001 | ETA 03:54:50 2020-12-17 16:33:21 [INFO] [TRAIN] epoch=16, iter=10130/40000, loss=0.3781, lr=0.007689, batch_cost=0.4723, reader_cost=0.0001 | ETA 03:55:07 2020-12-17 16:33:26 [INFO] [TRAIN] epoch=16, iter=10140/40000, loss=0.3690, lr=0.007687, batch_cost=0.4792, reader_cost=0.0001 | ETA 03:58:27 2020-12-17 16:33:30 [INFO] [TRAIN] epoch=16, iter=10150/40000, loss=0.4257, lr=0.007684, batch_cost=0.4647, reader_cost=0.0002 | ETA 03:51:12 2020-12-17 16:33:36 [INFO] [TRAIN] epoch=16, iter=10160/40000, loss=0.3355, lr=0.007682, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:26:51 2020-12-17 16:33:41 [INFO] [TRAIN] epoch=16, iter=10170/40000, loss=0.3355, lr=0.007680, batch_cost=0.4952, reader_cost=0.0001 | ETA 04:06:11 2020-12-17 16:33:45 [INFO] [TRAIN] epoch=16, iter=10180/40000, loss=0.4646, lr=0.007677, batch_cost=0.4745, reader_cost=0.0001 | ETA 03:55:48 2020-12-17 16:33:51 [INFO] [TRAIN] epoch=16, iter=10190/40000, loss=0.3651, lr=0.007675, batch_cost=0.5556, reader_cost=0.0001 | ETA 04:36:02 2020-12-17 16:33:59 [INFO] [TRAIN] epoch=16, iter=10200/40000, loss=0.3806, lr=0.007673, batch_cost=0.7523, reader_cost=0.0006 | ETA 06:13:39 2020-12-17 16:34:05 [INFO] [TRAIN] epoch=16, iter=10210/40000, loss=0.4659, lr=0.007670, batch_cost=0.6312, reader_cost=0.0047 | ETA 05:13:24 2020-12-17 16:34:10 [INFO] [TRAIN] epoch=16, iter=10220/40000, loss=0.3181, lr=0.007668, batch_cost=0.5155, reader_cost=0.0001 | ETA 04:15:50 2020-12-17 16:34:15 [INFO] [TRAIN] epoch=16, iter=10230/40000, loss=0.3666, lr=0.007666, batch_cost=0.4887, reader_cost=0.0001 | ETA 04:02:28 2020-12-17 16:34:20 [INFO] [TRAIN] epoch=16, iter=10240/40000, loss=0.4737, lr=0.007664, batch_cost=0.4958, reader_cost=0.0001 | ETA 04:05:55 2020-12-17 16:34:25 [INFO] [TRAIN] epoch=16, iter=10250/40000, loss=0.3727, lr=0.007661, batch_cost=0.4943, reader_cost=0.0001 | ETA 04:05:04 2020-12-17 16:34:30 [INFO] [TRAIN] epoch=16, iter=10260/40000, loss=0.3727, lr=0.007659, batch_cost=0.5027, reader_cost=0.0001 | ETA 04:09:09 2020-12-17 16:34:35 [INFO] [TRAIN] epoch=16, iter=10270/40000, loss=0.3520, lr=0.007657, batch_cost=0.4818, reader_cost=0.0001 | ETA 03:58:42 2020-12-17 16:34:40 [INFO] [TRAIN] epoch=16, iter=10280/40000, loss=0.2761, lr=0.007654, batch_cost=0.4920, reader_cost=0.0001 | ETA 04:03:43 2020-12-17 16:34:44 [INFO] [TRAIN] epoch=16, iter=10290/40000, loss=0.5877, lr=0.007652, batch_cost=0.4839, reader_cost=0.0001 | ETA 03:59:37 2020-12-17 16:34:49 [INFO] [TRAIN] epoch=16, iter=10300/40000, loss=0.3165, lr=0.007650, batch_cost=0.4750, reader_cost=0.0001 | ETA 03:55:07 2020-12-17 16:34:54 [INFO] [TRAIN] epoch=16, iter=10310/40000, loss=0.3513, lr=0.007647, batch_cost=0.4907, reader_cost=0.0001 | ETA 04:02:48 2020-12-17 16:34:59 [INFO] [TRAIN] epoch=16, iter=10320/40000, loss=0.3105, lr=0.007645, batch_cost=0.4792, reader_cost=0.0001 | ETA 03:57:03 2020-12-17 16:35:04 [INFO] [TRAIN] epoch=16, iter=10330/40000, loss=0.3182, lr=0.007643, batch_cost=0.4818, reader_cost=0.0001 | ETA 03:58:13 2020-12-17 16:35:08 [INFO] [TRAIN] epoch=16, iter=10340/40000, loss=0.2724, lr=0.007640, batch_cost=0.4800, reader_cost=0.0001 | ETA 03:57:17 2020-12-17 16:35:13 [INFO] [TRAIN] epoch=16, iter=10350/40000, loss=0.4140, lr=0.007638, batch_cost=0.4960, reader_cost=0.0001 | ETA 04:05:07 2020-12-17 16:35:18 [INFO] [TRAIN] epoch=16, iter=10360/40000, loss=0.3509, lr=0.007636, batch_cost=0.4853, reader_cost=0.0004 | ETA 03:59:44 2020-12-17 16:35:23 [INFO] [TRAIN] epoch=16, iter=10370/40000, loss=0.4914, lr=0.007633, batch_cost=0.4761, reader_cost=0.0001 | ETA 03:55:07 2020-12-17 16:35:28 [INFO] [TRAIN] epoch=16, iter=10380/40000, loss=0.5291, lr=0.007631, batch_cost=0.4787, reader_cost=0.0001 | ETA 03:56:19 2020-12-17 16:35:33 [INFO] [TRAIN] epoch=16, iter=10390/40000, loss=0.2911, lr=0.007629, batch_cost=0.4769, reader_cost=0.0001 | ETA 03:55:21 2020-12-17 16:35:37 [INFO] [TRAIN] epoch=16, iter=10400/40000, loss=0.4996, lr=0.007626, batch_cost=0.4765, reader_cost=0.0001 | ETA 03:55:04 2020-12-17 16:35:42 [INFO] [TRAIN] epoch=16, iter=10410/40000, loss=0.3463, lr=0.007624, batch_cost=0.4895, reader_cost=0.0001 | ETA 04:01:25 2020-12-17 16:35:47 [INFO] [TRAIN] epoch=16, iter=10420/40000, loss=0.2844, lr=0.007622, batch_cost=0.4798, reader_cost=0.0001 | ETA 03:56:32 2020-12-17 16:35:52 [INFO] [TRAIN] epoch=16, iter=10430/40000, loss=0.4495, lr=0.007619, batch_cost=0.4693, reader_cost=0.0003 | ETA 03:51:17 2020-12-17 16:35:57 [INFO] [TRAIN] epoch=16, iter=10440/40000, loss=0.3665, lr=0.007617, batch_cost=0.5089, reader_cost=0.0002 | ETA 04:10:44 2020-12-17 16:36:02 [INFO] [TRAIN] epoch=16, iter=10450/40000, loss=0.3844, lr=0.007615, batch_cost=0.4913, reader_cost=0.0001 | ETA 04:01:57 2020-12-17 16:36:07 [INFO] [TRAIN] epoch=16, iter=10460/40000, loss=0.3267, lr=0.007613, batch_cost=0.4825, reader_cost=0.0001 | ETA 03:57:33 2020-12-17 16:36:11 [INFO] [TRAIN] epoch=16, iter=10470/40000, loss=0.4946, lr=0.007610, batch_cost=0.4730, reader_cost=0.0001 | ETA 03:52:47 2020-12-17 16:36:16 [INFO] [TRAIN] epoch=16, iter=10480/40000, loss=0.3969, lr=0.007608, batch_cost=0.4768, reader_cost=0.0001 | ETA 03:54:35 2020-12-17 16:36:21 [INFO] [TRAIN] epoch=16, iter=10490/40000, loss=0.5313, lr=0.007606, batch_cost=0.4822, reader_cost=0.0001 | ETA 03:57:10 2020-12-17 16:36:26 [INFO] [TRAIN] epoch=16, iter=10500/40000, loss=0.4205, lr=0.007603, batch_cost=0.4910, reader_cost=0.0001 | ETA 04:01:24 2020-12-17 16:36:31 [INFO] [TRAIN] epoch=16, iter=10510/40000, loss=0.3927, lr=0.007601, batch_cost=0.4851, reader_cost=0.0001 | ETA 03:58:24 2020-12-17 16:36:36 [INFO] [TRAIN] epoch=16, iter=10520/40000, loss=0.4285, lr=0.007599, batch_cost=0.5123, reader_cost=0.0001 | ETA 04:11:41 2020-12-17 16:36:41 [INFO] [TRAIN] epoch=16, iter=10530/40000, loss=0.4442, lr=0.007596, batch_cost=0.5118, reader_cost=0.0001 | ETA 04:11:21 2020-12-17 16:36:46 [INFO] [TRAIN] epoch=16, iter=10540/40000, loss=0.3393, lr=0.007594, batch_cost=0.4941, reader_cost=0.0001 | ETA 04:02:35 2020-12-17 16:36:51 [INFO] [TRAIN] epoch=16, iter=10550/40000, loss=0.5243, lr=0.007592, batch_cost=0.4853, reader_cost=0.0001 | ETA 03:58:13 2020-12-17 16:36:55 [INFO] [TRAIN] epoch=16, iter=10560/40000, loss=0.3331, lr=0.007589, batch_cost=0.4796, reader_cost=0.0001 | ETA 03:55:19 2020-12-17 16:37:00 [INFO] [TRAIN] epoch=16, iter=10570/40000, loss=0.4559, lr=0.007587, batch_cost=0.4710, reader_cost=0.0001 | ETA 03:51:00 2020-12-17 16:37:05 [INFO] [TRAIN] epoch=17, iter=10580/40000, loss=0.3574, lr=0.007585, batch_cost=0.4756, reader_cost=0.0339 | ETA 03:53:12 2020-12-17 16:37:10 [INFO] [TRAIN] epoch=17, iter=10590/40000, loss=0.4839, lr=0.007582, batch_cost=0.4835, reader_cost=0.0001 | ETA 03:57:00 2020-12-17 16:37:15 [INFO] [TRAIN] epoch=17, iter=10600/40000, loss=0.3883, lr=0.007580, batch_cost=0.4951, reader_cost=0.0001 | ETA 04:02:36 2020-12-17 16:37:20 [INFO] [TRAIN] epoch=17, iter=10610/40000, loss=0.3514, lr=0.007578, batch_cost=0.4818, reader_cost=0.0001 | ETA 03:56:01 2020-12-17 16:37:24 [INFO] [TRAIN] epoch=17, iter=10620/40000, loss=0.3799, lr=0.007575, batch_cost=0.4871, reader_cost=0.0001 | ETA 03:58:29 2020-12-17 16:37:29 [INFO] [TRAIN] epoch=17, iter=10630/40000, loss=0.3201, lr=0.007573, batch_cost=0.4917, reader_cost=0.0001 | ETA 04:00:42 2020-12-17 16:37:34 [INFO] [TRAIN] epoch=17, iter=10640/40000, loss=0.3992, lr=0.007571, batch_cost=0.4905, reader_cost=0.0001 | ETA 03:59:59 2020-12-17 16:37:39 [INFO] [TRAIN] epoch=17, iter=10650/40000, loss=0.3334, lr=0.007568, batch_cost=0.4890, reader_cost=0.0001 | ETA 03:59:12 2020-12-17 16:37:44 [INFO] [TRAIN] epoch=17, iter=10660/40000, loss=0.3739, lr=0.007566, batch_cost=0.4943, reader_cost=0.0001 | ETA 04:01:43 2020-12-17 16:37:49 [INFO] [TRAIN] epoch=17, iter=10670/40000, loss=0.3073, lr=0.007564, batch_cost=0.5023, reader_cost=0.0001 | ETA 04:05:31 2020-12-17 16:37:54 [INFO] [TRAIN] epoch=17, iter=10680/40000, loss=0.4379, lr=0.007561, batch_cost=0.4802, reader_cost=0.0001 | ETA 03:54:39 2020-12-17 16:37:59 [INFO] [TRAIN] epoch=17, iter=10690/40000, loss=0.3509, lr=0.007559, batch_cost=0.4893, reader_cost=0.0001 | ETA 03:59:01 2020-12-17 16:38:04 [INFO] [TRAIN] epoch=17, iter=10700/40000, loss=0.4776, lr=0.007557, batch_cost=0.4879, reader_cost=0.0001 | ETA 03:58:15 2020-12-17 16:38:09 [INFO] [TRAIN] epoch=17, iter=10710/40000, loss=0.3825, lr=0.007555, batch_cost=0.4973, reader_cost=0.0001 | ETA 04:02:47 2020-12-17 16:38:13 [INFO] [TRAIN] epoch=17, iter=10720/40000, loss=0.3247, lr=0.007552, batch_cost=0.4820, reader_cost=0.0001 | ETA 03:55:12 2020-12-17 16:38:18 [INFO] [TRAIN] epoch=17, iter=10730/40000, loss=0.3151, lr=0.007550, batch_cost=0.4790, reader_cost=0.0001 | ETA 03:53:40 2020-12-17 16:38:23 [INFO] [TRAIN] epoch=17, iter=10740/40000, loss=0.3415, lr=0.007548, batch_cost=0.4904, reader_cost=0.0001 | ETA 03:59:10 2020-12-17 16:38:28 [INFO] [TRAIN] epoch=17, iter=10750/40000, loss=0.2929, lr=0.007545, batch_cost=0.4780, reader_cost=0.0001 | ETA 03:53:02 2020-12-17 16:38:33 [INFO] [TRAIN] epoch=17, iter=10760/40000, loss=0.3416, lr=0.007543, batch_cost=0.4920, reader_cost=0.0001 | ETA 03:59:45 2020-12-17 16:38:38 [INFO] [TRAIN] epoch=17, iter=10770/40000, loss=0.3380, lr=0.007541, batch_cost=0.4782, reader_cost=0.0001 | ETA 03:52:57 2020-12-17 16:38:42 [INFO] [TRAIN] epoch=17, iter=10780/40000, loss=0.5177, lr=0.007538, batch_cost=0.4792, reader_cost=0.0001 | ETA 03:53:22 2020-12-17 16:38:47 [INFO] [TRAIN] epoch=17, iter=10790/40000, loss=0.2951, lr=0.007536, batch_cost=0.4762, reader_cost=0.0001 | ETA 03:51:50 2020-12-17 16:38:52 [INFO] [TRAIN] epoch=17, iter=10800/40000, loss=0.3465, lr=0.007534, batch_cost=0.4950, reader_cost=0.0001 | ETA 04:00:53 2020-12-17 16:38:57 [INFO] [TRAIN] epoch=17, iter=10810/40000, loss=0.3582, lr=0.007531, batch_cost=0.4791, reader_cost=0.0001 | ETA 03:53:05 2020-12-17 16:39:02 [INFO] [TRAIN] epoch=17, iter=10820/40000, loss=0.4304, lr=0.007529, batch_cost=0.4800, reader_cost=0.0001 | ETA 03:53:25 2020-12-17 16:39:07 [INFO] [TRAIN] epoch=17, iter=10830/40000, loss=0.3046, lr=0.007527, batch_cost=0.4940, reader_cost=0.0001 | ETA 04:00:08 2020-12-17 16:39:12 [INFO] [TRAIN] epoch=17, iter=10840/40000, loss=0.4649, lr=0.007524, batch_cost=0.4871, reader_cost=0.0001 | ETA 03:56:43 2020-12-17 16:39:16 [INFO] [TRAIN] epoch=17, iter=10850/40000, loss=0.4344, lr=0.007522, batch_cost=0.4922, reader_cost=0.0001 | ETA 03:59:08 2020-12-17 16:39:21 [INFO] [TRAIN] epoch=17, iter=10860/40000, loss=0.4092, lr=0.007520, batch_cost=0.4939, reader_cost=0.0001 | ETA 03:59:50 2020-12-17 16:39:26 [INFO] [TRAIN] epoch=17, iter=10870/40000, loss=0.3374, lr=0.007517, batch_cost=0.5007, reader_cost=0.0001 | ETA 04:03:04 2020-12-17 16:39:32 [INFO] [TRAIN] epoch=17, iter=10880/40000, loss=0.3302, lr=0.007515, batch_cost=0.5657, reader_cost=0.0001 | ETA 04:34:33 2020-12-17 16:39:37 [INFO] [TRAIN] epoch=17, iter=10890/40000, loss=0.4534, lr=0.007513, batch_cost=0.4869, reader_cost=0.0001 | ETA 03:56:13 2020-12-17 16:39:42 [INFO] [TRAIN] epoch=17, iter=10900/40000, loss=0.3151, lr=0.007510, batch_cost=0.4831, reader_cost=0.0001 | ETA 03:54:18 2020-12-17 16:39:47 [INFO] [TRAIN] epoch=17, iter=10910/40000, loss=0.3100, lr=0.007508, batch_cost=0.4811, reader_cost=0.0001 | ETA 03:53:14 2020-12-17 16:39:52 [INFO] [TRAIN] epoch=17, iter=10920/40000, loss=0.3320, lr=0.007506, batch_cost=0.4988, reader_cost=0.0001 | ETA 04:01:46 2020-12-17 16:39:57 [INFO] [TRAIN] epoch=17, iter=10930/40000, loss=0.4764, lr=0.007503, batch_cost=0.5070, reader_cost=0.0001 | ETA 04:05:39 2020-12-17 16:40:02 [INFO] [TRAIN] epoch=17, iter=10940/40000, loss=0.4300, lr=0.007501, batch_cost=0.4865, reader_cost=0.0001 | ETA 03:55:37 2020-12-17 16:40:06 [INFO] [TRAIN] epoch=17, iter=10950/40000, loss=0.4078, lr=0.007499, batch_cost=0.4834, reader_cost=0.0001 | ETA 03:54:01 2020-12-17 16:40:11 [INFO] [TRAIN] epoch=17, iter=10960/40000, loss=0.3625, lr=0.007496, batch_cost=0.5120, reader_cost=0.0001 | ETA 04:07:49 2020-12-17 16:40:17 [INFO] [TRAIN] epoch=17, iter=10970/40000, loss=0.3476, lr=0.007494, batch_cost=0.5078, reader_cost=0.0001 | ETA 04:05:42 2020-12-17 16:40:22 [INFO] [TRAIN] epoch=17, iter=10980/40000, loss=0.2616, lr=0.007492, batch_cost=0.5082, reader_cost=0.0001 | ETA 04:05:46 2020-12-17 16:40:27 [INFO] [TRAIN] epoch=17, iter=10990/40000, loss=0.4156, lr=0.007489, batch_cost=0.5018, reader_cost=0.0001 | ETA 04:02:38 2020-12-17 16:40:32 [INFO] [TRAIN] epoch=17, iter=11000/40000, loss=0.3652, lr=0.007487, batch_cost=0.5026, reader_cost=0.0001 | ETA 04:02:56 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:40:32 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:40:52 [INFO] [EVAL] #Images=1449 mIoU=0.7529 Acc=0.9435 Kappa=0.8770 2020-12-17 16:40:52 [INFO] [EVAL] Class IoU: [0.9391 0.8854 0.4046 0.8624 0.684 0.7637 0.897 0.855 0.8703 0.3551 0.8354 0.627 0.8513 0.8574 0.8348 0.8519 0.5963 0.772 0.5402 0.8169 0.711 ] 2020-12-17 16:40:52 [INFO] [EVAL] Class Acc: [0.9709 0.9126 0.4309 0.9033 0.7322 0.8286 0.9282 0.9337 0.8924 0.609 0.8683 0.8662 0.9306 0.9398 0.9339 0.9112 0.8429 0.8909 0.6644 0.9498 0.859 ] 2020-12-17 16:40:58 [INFO] [EVAL] The model with the best validation mIoU (0.7529) was saved at iter 11000. 2020-12-17 16:41:03 [INFO] [TRAIN] epoch=17, iter=11010/40000, loss=0.3520, lr=0.007485, batch_cost=0.4887, reader_cost=0.0001 | ETA 03:56:06 2020-12-17 16:41:08 [INFO] [TRAIN] epoch=17, iter=11020/40000, loss=0.3716, lr=0.007483, batch_cost=0.5069, reader_cost=0.0001 | ETA 04:04:50 2020-12-17 16:41:13 [INFO] [TRAIN] epoch=17, iter=11030/40000, loss=0.3816, lr=0.007480, batch_cost=0.5015, reader_cost=0.0001 | ETA 04:02:09 2020-12-17 16:41:18 [INFO] [TRAIN] epoch=17, iter=11040/40000, loss=0.4240, lr=0.007478, batch_cost=0.5054, reader_cost=0.0001 | ETA 04:03:57 2020-12-17 16:41:23 [INFO] [TRAIN] epoch=17, iter=11050/40000, loss=0.4059, lr=0.007476, batch_cost=0.4865, reader_cost=0.0001 | ETA 03:54:42 2020-12-17 16:41:27 [INFO] [TRAIN] epoch=17, iter=11060/40000, loss=0.3088, lr=0.007473, batch_cost=0.4763, reader_cost=0.0001 | ETA 03:49:45 2020-12-17 16:41:32 [INFO] [TRAIN] epoch=17, iter=11070/40000, loss=0.6027, lr=0.007471, batch_cost=0.4864, reader_cost=0.0001 | ETA 03:54:31 2020-12-17 16:41:37 [INFO] [TRAIN] epoch=17, iter=11080/40000, loss=0.3827, lr=0.007469, batch_cost=0.4965, reader_cost=0.0001 | ETA 03:59:17 2020-12-17 16:41:42 [INFO] [TRAIN] epoch=17, iter=11090/40000, loss=0.3639, lr=0.007466, batch_cost=0.4917, reader_cost=0.0001 | ETA 03:56:56 2020-12-17 16:41:47 [INFO] [TRAIN] epoch=17, iter=11100/40000, loss=0.3305, lr=0.007464, batch_cost=0.5044, reader_cost=0.0001 | ETA 04:02:56 2020-12-17 16:41:52 [INFO] [TRAIN] epoch=17, iter=11110/40000, loss=0.4106, lr=0.007462, batch_cost=0.5129, reader_cost=0.0001 | ETA 04:06:58 2020-12-17 16:41:57 [INFO] [TRAIN] epoch=17, iter=11120/40000, loss=0.5399, lr=0.007459, batch_cost=0.5024, reader_cost=0.0001 | ETA 04:01:49 2020-12-17 16:42:02 [INFO] [TRAIN] epoch=17, iter=11130/40000, loss=0.4055, lr=0.007457, batch_cost=0.4953, reader_cost=0.0001 | ETA 03:58:18 2020-12-17 16:42:07 [INFO] [TRAIN] epoch=17, iter=11140/40000, loss=0.5417, lr=0.007455, batch_cost=0.4917, reader_cost=0.0001 | ETA 03:56:31 2020-12-17 16:42:12 [INFO] [TRAIN] epoch=17, iter=11150/40000, loss=0.3877, lr=0.007452, batch_cost=0.4915, reader_cost=0.0001 | ETA 03:56:20 2020-12-17 16:42:17 [INFO] [TRAIN] epoch=17, iter=11160/40000, loss=0.2965, lr=0.007450, batch_cost=0.4898, reader_cost=0.0001 | ETA 03:55:26 2020-12-17 16:42:22 [INFO] [TRAIN] epoch=17, iter=11170/40000, loss=0.4014, lr=0.007448, batch_cost=0.4854, reader_cost=0.0001 | ETA 03:53:14 2020-12-17 16:42:27 [INFO] [TRAIN] epoch=17, iter=11180/40000, loss=0.3521, lr=0.007445, batch_cost=0.4846, reader_cost=0.0001 | ETA 03:52:46 2020-12-17 16:42:32 [INFO] [TRAIN] epoch=17, iter=11190/40000, loss=0.4577, lr=0.007443, batch_cost=0.4870, reader_cost=0.0001 | ETA 03:53:51 2020-12-17 16:42:37 [INFO] [TRAIN] epoch=17, iter=11200/40000, loss=0.4323, lr=0.007441, batch_cost=0.5584, reader_cost=0.0001 | ETA 04:28:01 2020-12-17 16:42:42 [INFO] [TRAIN] epoch=17, iter=11210/40000, loss=0.4038, lr=0.007438, batch_cost=0.4983, reader_cost=0.0001 | ETA 03:59:06 2020-12-17 16:42:47 [INFO] [TRAIN] epoch=17, iter=11220/40000, loss=0.2826, lr=0.007436, batch_cost=0.4992, reader_cost=0.0001 | ETA 03:59:26 2020-12-17 16:42:52 [INFO] [TRAIN] epoch=17, iter=11230/40000, loss=0.4064, lr=0.007434, batch_cost=0.4867, reader_cost=0.0001 | ETA 03:53:22 2020-12-17 16:42:57 [INFO] [TRAIN] epoch=18, iter=11240/40000, loss=0.3243, lr=0.007431, batch_cost=0.4668, reader_cost=0.0336 | ETA 03:43:44 2020-12-17 16:43:02 [INFO] [TRAIN] epoch=18, iter=11250/40000, loss=0.3698, lr=0.007429, batch_cost=0.4879, reader_cost=0.0001 | ETA 03:53:47 2020-12-17 16:43:06 [INFO] [TRAIN] epoch=18, iter=11260/40000, loss=0.3912, lr=0.007427, batch_cost=0.4843, reader_cost=0.0001 | ETA 03:51:58 2020-12-17 16:43:11 [INFO] [TRAIN] epoch=18, iter=11270/40000, loss=0.3028, lr=0.007424, batch_cost=0.4748, reader_cost=0.0001 | ETA 03:47:20 2020-12-17 16:43:16 [INFO] [TRAIN] epoch=18, iter=11280/40000, loss=0.3938, lr=0.007422, batch_cost=0.4860, reader_cost=0.0001 | ETA 03:52:37 2020-12-17 16:43:21 [INFO] [TRAIN] epoch=18, iter=11290/40000, loss=0.3897, lr=0.007420, batch_cost=0.5050, reader_cost=0.0001 | ETA 04:01:39 2020-12-17 16:43:26 [INFO] [TRAIN] epoch=18, iter=11300/40000, loss=0.4441, lr=0.007417, batch_cost=0.4904, reader_cost=0.0001 | ETA 03:54:34 2020-12-17 16:43:31 [INFO] [TRAIN] epoch=18, iter=11310/40000, loss=0.2883, lr=0.007415, batch_cost=0.4821, reader_cost=0.0001 | ETA 03:50:31 2020-12-17 16:43:36 [INFO] [TRAIN] epoch=18, iter=11320/40000, loss=0.4230, lr=0.007413, batch_cost=0.5129, reader_cost=0.0001 | ETA 04:05:11 2020-12-17 16:43:41 [INFO] [TRAIN] epoch=18, iter=11330/40000, loss=0.3520, lr=0.007410, batch_cost=0.4948, reader_cost=0.0001 | ETA 03:56:26 2020-12-17 16:43:46 [INFO] [TRAIN] epoch=18, iter=11340/40000, loss=0.3819, lr=0.007408, batch_cost=0.4970, reader_cost=0.0001 | ETA 03:57:22 2020-12-17 16:43:51 [INFO] [TRAIN] epoch=18, iter=11350/40000, loss=0.3426, lr=0.007406, batch_cost=0.4974, reader_cost=0.0001 | ETA 03:57:31 2020-12-17 16:43:56 [INFO] [TRAIN] epoch=18, iter=11360/40000, loss=0.4470, lr=0.007403, batch_cost=0.4975, reader_cost=0.0001 | ETA 03:57:28 2020-12-17 16:44:01 [INFO] [TRAIN] epoch=18, iter=11370/40000, loss=0.4939, lr=0.007401, batch_cost=0.4961, reader_cost=0.0001 | ETA 03:56:43 2020-12-17 16:44:06 [INFO] [TRAIN] epoch=18, iter=11380/40000, loss=0.3664, lr=0.007399, batch_cost=0.4938, reader_cost=0.0001 | ETA 03:55:31 2020-12-17 16:44:11 [INFO] [TRAIN] epoch=18, iter=11390/40000, loss=0.2905, lr=0.007396, batch_cost=0.5010, reader_cost=0.0001 | ETA 03:58:54 2020-12-17 16:44:16 [INFO] [TRAIN] epoch=18, iter=11400/40000, loss=0.3412, lr=0.007394, batch_cost=0.4953, reader_cost=0.0001 | ETA 03:56:04 2020-12-17 16:44:21 [INFO] [TRAIN] epoch=18, iter=11410/40000, loss=0.3368, lr=0.007392, batch_cost=0.4926, reader_cost=0.0001 | ETA 03:54:43 2020-12-17 16:44:25 [INFO] [TRAIN] epoch=18, iter=11420/40000, loss=0.3807, lr=0.007390, batch_cost=0.4888, reader_cost=0.0001 | ETA 03:52:50 2020-12-17 16:44:30 [INFO] [TRAIN] epoch=18, iter=11430/40000, loss=0.2978, lr=0.007387, batch_cost=0.4824, reader_cost=0.0001 | ETA 03:49:42 2020-12-17 16:44:35 [INFO] [TRAIN] epoch=18, iter=11440/40000, loss=0.3471, lr=0.007385, batch_cost=0.4885, reader_cost=0.0001 | ETA 03:52:31 2020-12-17 16:44:40 [INFO] [TRAIN] epoch=18, iter=11450/40000, loss=0.2942, lr=0.007383, batch_cost=0.4815, reader_cost=0.0001 | ETA 03:49:07 2020-12-17 16:44:45 [INFO] [TRAIN] epoch=18, iter=11460/40000, loss=0.4144, lr=0.007380, batch_cost=0.4990, reader_cost=0.0001 | ETA 03:57:20 2020-12-17 16:44:50 [INFO] [TRAIN] epoch=18, iter=11470/40000, loss=0.3580, lr=0.007378, batch_cost=0.4898, reader_cost=0.0001 | ETA 03:52:54 2020-12-17 16:44:55 [INFO] [TRAIN] epoch=18, iter=11480/40000, loss=0.4143, lr=0.007376, batch_cost=0.5232, reader_cost=0.0001 | ETA 04:08:40 2020-12-17 16:45:00 [INFO] [TRAIN] epoch=18, iter=11490/40000, loss=0.2985, lr=0.007373, batch_cost=0.4851, reader_cost=0.0001 | ETA 03:50:30 2020-12-17 16:45:05 [INFO] [TRAIN] epoch=18, iter=11500/40000, loss=0.3466, lr=0.007371, batch_cost=0.4897, reader_cost=0.0001 | ETA 03:52:35 2020-12-17 16:45:10 [INFO] [TRAIN] epoch=18, iter=11510/40000, loss=0.4008, lr=0.007369, batch_cost=0.4943, reader_cost=0.0001 | ETA 03:54:41 2020-12-17 16:45:15 [INFO] [TRAIN] epoch=18, iter=11520/40000, loss=0.5192, lr=0.007366, batch_cost=0.4927, reader_cost=0.0001 | ETA 03:53:51 2020-12-17 16:45:20 [INFO] [TRAIN] epoch=18, iter=11530/40000, loss=0.3910, lr=0.007364, batch_cost=0.4900, reader_cost=0.0001 | ETA 03:52:31 2020-12-17 16:45:24 [INFO] [TRAIN] epoch=18, iter=11540/40000, loss=0.3606, lr=0.007362, batch_cost=0.4839, reader_cost=0.0001 | ETA 03:49:32 2020-12-17 16:45:29 [INFO] [TRAIN] epoch=18, iter=11550/40000, loss=0.4607, lr=0.007359, batch_cost=0.4974, reader_cost=0.0001 | ETA 03:55:50 2020-12-17 16:45:34 [INFO] [TRAIN] epoch=18, iter=11560/40000, loss=0.4012, lr=0.007357, batch_cost=0.4871, reader_cost=0.0001 | ETA 03:50:51 2020-12-17 16:45:40 [INFO] [TRAIN] epoch=18, iter=11570/40000, loss=0.4325, lr=0.007355, batch_cost=0.5257, reader_cost=0.0001 | ETA 04:09:05 2020-12-17 16:45:44 [INFO] [TRAIN] epoch=18, iter=11580/40000, loss=0.7071, lr=0.007352, batch_cost=0.4883, reader_cost=0.0001 | ETA 03:51:16 2020-12-17 16:45:49 [INFO] [TRAIN] epoch=18, iter=11590/40000, loss=0.6600, lr=0.007350, batch_cost=0.4930, reader_cost=0.0001 | ETA 03:53:25 2020-12-17 16:45:54 [INFO] [TRAIN] epoch=18, iter=11600/40000, loss=0.5551, lr=0.007348, batch_cost=0.4941, reader_cost=0.0001 | ETA 03:53:52 2020-12-17 16:45:59 [INFO] [TRAIN] epoch=18, iter=11610/40000, loss=0.3665, lr=0.007345, batch_cost=0.4851, reader_cost=0.0001 | ETA 03:49:31 2020-12-17 16:46:04 [INFO] [TRAIN] epoch=18, iter=11620/40000, loss=0.2889, lr=0.007343, batch_cost=0.4902, reader_cost=0.0001 | ETA 03:51:51 2020-12-17 16:46:09 [INFO] [TRAIN] epoch=18, iter=11630/40000, loss=0.4025, lr=0.007341, batch_cost=0.4841, reader_cost=0.0001 | ETA 03:48:52 2020-12-17 16:46:14 [INFO] [TRAIN] epoch=18, iter=11640/40000, loss=0.3723, lr=0.007338, batch_cost=0.4955, reader_cost=0.0001 | ETA 03:54:13 2020-12-17 16:46:19 [INFO] [TRAIN] epoch=18, iter=11650/40000, loss=0.3824, lr=0.007336, batch_cost=0.4998, reader_cost=0.0001 | ETA 03:56:07 2020-12-17 16:46:24 [INFO] [TRAIN] epoch=18, iter=11660/40000, loss=0.3231, lr=0.007334, batch_cost=0.4994, reader_cost=0.0001 | ETA 03:55:53 2020-12-17 16:46:29 [INFO] [TRAIN] epoch=18, iter=11670/40000, loss=0.4425, lr=0.007331, batch_cost=0.5014, reader_cost=0.0000 | ETA 03:56:43 2020-12-17 16:46:34 [INFO] [TRAIN] epoch=18, iter=11680/40000, loss=0.4113, lr=0.007329, batch_cost=0.5026, reader_cost=0.0001 | ETA 03:57:13 2020-12-17 16:46:39 [INFO] [TRAIN] epoch=18, iter=11690/40000, loss=0.2854, lr=0.007327, batch_cost=0.4946, reader_cost=0.0001 | ETA 03:53:20 2020-12-17 16:46:44 [INFO] [TRAIN] epoch=18, iter=11700/40000, loss=0.2529, lr=0.007324, batch_cost=0.5035, reader_cost=0.0001 | ETA 03:57:28 2020-12-17 16:46:49 [INFO] [TRAIN] epoch=18, iter=11710/40000, loss=0.3009, lr=0.007322, batch_cost=0.4848, reader_cost=0.0001 | ETA 03:48:34 2020-12-17 16:46:54 [INFO] [TRAIN] epoch=18, iter=11720/40000, loss=0.4558, lr=0.007320, batch_cost=0.4889, reader_cost=0.0001 | ETA 03:50:26 2020-12-17 16:46:59 [INFO] [TRAIN] epoch=18, iter=11730/40000, loss=0.3122, lr=0.007317, batch_cost=0.4873, reader_cost=0.0001 | ETA 03:49:35 2020-12-17 16:47:04 [INFO] [TRAIN] epoch=18, iter=11740/40000, loss=0.4702, lr=0.007315, batch_cost=0.5001, reader_cost=0.0001 | ETA 03:55:31 2020-12-17 16:47:09 [INFO] [TRAIN] epoch=18, iter=11750/40000, loss=0.2958, lr=0.007313, batch_cost=0.4994, reader_cost=0.0001 | ETA 03:55:06 2020-12-17 16:47:14 [INFO] [TRAIN] epoch=18, iter=11760/40000, loss=0.3497, lr=0.007310, batch_cost=0.5008, reader_cost=0.0001 | ETA 03:55:42 2020-12-17 16:47:18 [INFO] [TRAIN] epoch=18, iter=11770/40000, loss=0.3362, lr=0.007308, batch_cost=0.4789, reader_cost=0.0001 | ETA 03:45:18 2020-12-17 16:47:23 [INFO] [TRAIN] epoch=18, iter=11780/40000, loss=0.2811, lr=0.007306, batch_cost=0.5003, reader_cost=0.0001 | ETA 03:55:19 2020-12-17 16:47:28 [INFO] [TRAIN] epoch=18, iter=11790/40000, loss=0.3779, lr=0.007303, batch_cost=0.4922, reader_cost=0.0001 | ETA 03:51:24 2020-12-17 16:47:33 [INFO] [TRAIN] epoch=18, iter=11800/40000, loss=0.3736, lr=0.007301, batch_cost=0.4755, reader_cost=0.0001 | ETA 03:43:29 2020-12-17 16:47:38 [INFO] [TRAIN] epoch=18, iter=11810/40000, loss=0.4934, lr=0.007299, batch_cost=0.4816, reader_cost=0.0001 | ETA 03:46:15 2020-12-17 16:47:43 [INFO] [TRAIN] epoch=18, iter=11820/40000, loss=0.3457, lr=0.007296, batch_cost=0.4888, reader_cost=0.0001 | ETA 03:49:34 2020-12-17 16:47:48 [INFO] [TRAIN] epoch=18, iter=11830/40000, loss=0.3549, lr=0.007294, batch_cost=0.4983, reader_cost=0.0001 | ETA 03:53:56 2020-12-17 16:47:52 [INFO] [TRAIN] epoch=18, iter=11840/40000, loss=0.4422, lr=0.007292, batch_cost=0.4786, reader_cost=0.0001 | ETA 03:44:37 2020-12-17 16:47:58 [INFO] [TRAIN] epoch=18, iter=11850/40000, loss=0.4221, lr=0.007289, batch_cost=0.5221, reader_cost=0.0001 | ETA 04:04:58 2020-12-17 16:48:03 [INFO] [TRAIN] epoch=18, iter=11860/40000, loss=0.4570, lr=0.007287, batch_cost=0.4866, reader_cost=0.0001 | ETA 03:48:12 2020-12-17 16:48:07 [INFO] [TRAIN] epoch=18, iter=11870/40000, loss=0.3568, lr=0.007285, batch_cost=0.4877, reader_cost=0.0001 | ETA 03:48:38 2020-12-17 16:48:12 [INFO] [TRAIN] epoch=18, iter=11880/40000, loss=0.3945, lr=0.007282, batch_cost=0.4854, reader_cost=0.0001 | ETA 03:47:30 2020-12-17 16:48:17 [INFO] [TRAIN] epoch=18, iter=11890/40000, loss=0.3223, lr=0.007280, batch_cost=0.4894, reader_cost=0.0001 | ETA 03:49:16 2020-12-17 16:48:22 [INFO] [TRAIN] epoch=19, iter=11900/40000, loss=0.4611, lr=0.007278, batch_cost=0.4845, reader_cost=0.0311 | ETA 03:46:54 2020-12-17 16:48:27 [INFO] [TRAIN] epoch=19, iter=11910/40000, loss=0.5674, lr=0.007275, batch_cost=0.4729, reader_cost=0.0001 | ETA 03:41:24 2020-12-17 16:48:32 [INFO] [TRAIN] epoch=19, iter=11920/40000, loss=0.3386, lr=0.007273, batch_cost=0.4860, reader_cost=0.0001 | ETA 03:47:25 2020-12-17 16:48:37 [INFO] [TRAIN] epoch=19, iter=11930/40000, loss=0.3539, lr=0.007271, batch_cost=0.4936, reader_cost=0.0001 | ETA 03:50:55 2020-12-17 16:48:42 [INFO] [TRAIN] epoch=19, iter=11940/40000, loss=0.3131, lr=0.007268, batch_cost=0.5228, reader_cost=0.0001 | ETA 04:04:30 2020-12-17 16:48:47 [INFO] [TRAIN] epoch=19, iter=11950/40000, loss=0.4264, lr=0.007266, batch_cost=0.4950, reader_cost=0.0001 | ETA 03:51:23 2020-12-17 16:48:52 [INFO] [TRAIN] epoch=19, iter=11960/40000, loss=0.3076, lr=0.007264, batch_cost=0.4981, reader_cost=0.0001 | ETA 03:52:45 2020-12-17 16:48:57 [INFO] [TRAIN] epoch=19, iter=11970/40000, loss=0.4296, lr=0.007261, batch_cost=0.4825, reader_cost=0.0001 | ETA 03:45:23 2020-12-17 16:49:01 [INFO] [TRAIN] epoch=19, iter=11980/40000, loss=0.4108, lr=0.007259, batch_cost=0.4793, reader_cost=0.0001 | ETA 03:43:49 2020-12-17 16:49:06 [INFO] [TRAIN] epoch=19, iter=11990/40000, loss=0.2761, lr=0.007257, batch_cost=0.4912, reader_cost=0.0001 | ETA 03:49:18 2020-12-17 16:49:11 [INFO] [TRAIN] epoch=19, iter=12000/40000, loss=0.4968, lr=0.007254, batch_cost=0.4917, reader_cost=0.0001 | ETA 03:49:27 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:49:11 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 16:49:31 [INFO] [EVAL] #Images=1449 mIoU=0.7469 Acc=0.9412 Kappa=0.8709 2020-12-17 16:49:31 [INFO] [EVAL] Class IoU: [0.9393 0.8894 0.4089 0.8593 0.6727 0.8127 0.9021 0.8333 0.8406 0.3747 0.856 0.6438 0.7973 0.8694 0.7834 0.8234 0.5993 0.79 0.3858 0.8687 0.7357] 2020-12-17 16:49:31 [INFO] [EVAL] Class Acc: [0.968 0.9153 0.4283 0.953 0.7705 0.8803 0.9815 0.8877 0.8528 0.478 0.9177 0.918 0.9262 0.9141 0.9547 0.8738 0.8039 0.8999 0.8291 0.952 0.897 ] 2020-12-17 16:49:35 [INFO] [EVAL] The model with the best validation mIoU (0.7529) was saved at iter 11000. 2020-12-17 16:49:40 [INFO] [TRAIN] epoch=19, iter=12010/40000, loss=0.3298, lr=0.007252, batch_cost=0.4931, reader_cost=0.0001 | ETA 03:50:01 2020-12-17 16:49:45 [INFO] [TRAIN] epoch=19, iter=12020/40000, loss=0.3427, lr=0.007250, batch_cost=0.4851, reader_cost=0.0001 | ETA 03:46:11 2020-12-17 16:49:50 [INFO] [TRAIN] epoch=19, iter=12030/40000, loss=0.4230, lr=0.007247, batch_cost=0.4892, reader_cost=0.0001 | ETA 03:48:03 2020-12-17 16:49:55 [INFO] [TRAIN] epoch=19, iter=12040/40000, loss=0.4119, lr=0.007245, batch_cost=0.4971, reader_cost=0.0001 | ETA 03:51:39 2020-12-17 16:49:59 [INFO] [TRAIN] epoch=19, iter=12050/40000, loss=0.3832, lr=0.007243, batch_cost=0.4835, reader_cost=0.0001 | ETA 03:45:13 2020-12-17 16:50:04 [INFO] [TRAIN] epoch=19, iter=12060/40000, loss=0.4764, lr=0.007240, batch_cost=0.4898, reader_cost=0.0001 | ETA 03:48:03 2020-12-17 16:50:09 [INFO] [TRAIN] epoch=19, iter=12070/40000, loss=0.3953, lr=0.007238, batch_cost=0.4991, reader_cost=0.0001 | ETA 03:52:19 2020-12-17 16:50:14 [INFO] [TRAIN] epoch=19, iter=12080/40000, loss=0.4875, lr=0.007236, batch_cost=0.5077, reader_cost=0.0003 | ETA 03:56:15 2020-12-17 16:50:19 [INFO] [TRAIN] epoch=19, iter=12090/40000, loss=0.4761, lr=0.007233, batch_cost=0.4972, reader_cost=0.0001 | ETA 03:51:15 2020-12-17 16:50:24 [INFO] [TRAIN] epoch=19, iter=12100/40000, loss=0.3280, lr=0.007231, batch_cost=0.4875, reader_cost=0.0001 | ETA 03:46:40 2020-12-17 16:50:29 [INFO] [TRAIN] epoch=19, iter=12110/40000, loss=0.4156, lr=0.007229, batch_cost=0.4738, reader_cost=0.0001 | ETA 03:40:14 2020-12-17 16:50:34 [INFO] [TRAIN] epoch=19, iter=12120/40000, loss=0.3737, lr=0.007226, batch_cost=0.4901, reader_cost=0.0001 | ETA 03:47:44 2020-12-17 16:50:39 [INFO] [TRAIN] epoch=19, iter=12130/40000, loss=0.2750, lr=0.007224, batch_cost=0.4968, reader_cost=0.0001 | ETA 03:50:45 2020-12-17 16:50:44 [INFO] [TRAIN] epoch=19, iter=12140/40000, loss=0.4638, lr=0.007222, batch_cost=0.4803, reader_cost=0.0001 | ETA 03:43:00 2020-12-17 16:50:48 [INFO] [TRAIN] epoch=19, iter=12150/40000, loss=0.3344, lr=0.007219, batch_cost=0.4928, reader_cost=0.0001 | ETA 03:48:43 2020-12-17 16:50:53 [INFO] [TRAIN] epoch=19, iter=12160/40000, loss=0.3294, lr=0.007217, batch_cost=0.4930, reader_cost=0.0001 | ETA 03:48:45 2020-12-17 16:50:58 [INFO] [TRAIN] epoch=19, iter=12170/40000, loss=0.3671, lr=0.007215, batch_cost=0.4960, reader_cost=0.0001 | ETA 03:50:04 2020-12-17 16:51:03 [INFO] [TRAIN] epoch=19, iter=12180/40000, loss=0.3089, lr=0.007212, batch_cost=0.5094, reader_cost=0.0001 | ETA 03:56:11 2020-12-17 16:51:08 [INFO] [TRAIN] epoch=19, iter=12190/40000, loss=0.3978, lr=0.007210, batch_cost=0.4937, reader_cost=0.0001 | ETA 03:48:49 2020-12-17 16:51:13 [INFO] [TRAIN] epoch=19, iter=12200/40000, loss=0.3461, lr=0.007208, batch_cost=0.4867, reader_cost=0.0001 | ETA 03:45:29 2020-12-17 16:51:18 [INFO] [TRAIN] epoch=19, iter=12210/40000, loss=0.3283, lr=0.007205, batch_cost=0.4889, reader_cost=0.0001 | ETA 03:46:25 2020-12-17 16:51:23 [INFO] [TRAIN] epoch=19, iter=12220/40000, loss=0.3675, lr=0.007203, batch_cost=0.4852, reader_cost=0.0001 | ETA 03:44:38 2020-12-17 16:51:28 [INFO] [TRAIN] epoch=19, iter=12230/40000, loss=0.2857, lr=0.007201, batch_cost=0.4805, reader_cost=0.0001 | ETA 03:42:24 2020-12-17 16:51:33 [INFO] [TRAIN] epoch=19, iter=12240/40000, loss=0.4028, lr=0.007198, batch_cost=0.4774, reader_cost=0.0001 | ETA 03:40:52 2020-12-17 16:51:37 [INFO] [TRAIN] epoch=19, iter=12250/40000, loss=0.3578, lr=0.007196, batch_cost=0.4879, reader_cost=0.0001 | ETA 03:45:39 2020-12-17 16:51:42 [INFO] [TRAIN] epoch=19, iter=12260/40000, loss=0.3206, lr=0.007194, batch_cost=0.4832, reader_cost=0.0001 | ETA 03:43:25 2020-12-17 16:51:48 [INFO] [TRAIN] epoch=19, iter=12270/40000, loss=0.4161, lr=0.007191, batch_cost=0.5613, reader_cost=0.0001 | ETA 04:19:25 2020-12-17 16:51:53 [INFO] [TRAIN] epoch=19, iter=12280/40000, loss=0.3529, lr=0.007189, batch_cost=0.4966, reader_cost=0.0001 | ETA 03:49:24 2020-12-17 16:51:58 [INFO] [TRAIN] epoch=19, iter=12290/40000, loss=0.3459, lr=0.007187, batch_cost=0.4963, reader_cost=0.0001 | ETA 03:49:12 2020-12-17 16:52:03 [INFO] [TRAIN] epoch=19, iter=12300/40000, loss=0.3634, lr=0.007184, batch_cost=0.4749, reader_cost=0.0001 | ETA 03:39:14 2020-12-17 16:52:07 [INFO] [TRAIN] epoch=19, iter=12310/40000, loss=0.3772, lr=0.007182, batch_cost=0.4823, reader_cost=0.0001 | ETA 03:42:35 2020-12-17 16:52:12 [INFO] [TRAIN] epoch=19, iter=12320/40000, loss=0.4820, lr=0.007180, batch_cost=0.4865, reader_cost=0.0001 | ETA 03:44:26 2020-12-17 16:52:17 [INFO] [TRAIN] epoch=19, iter=12330/40000, loss=0.5421, lr=0.007177, batch_cost=0.4801, reader_cost=0.0001 | ETA 03:41:24 2020-12-17 16:52:22 [INFO] [TRAIN] epoch=19, iter=12340/40000, loss=0.3668, lr=0.007175, batch_cost=0.5131, reader_cost=0.0001 | ETA 03:56:31 2020-12-17 16:52:27 [INFO] [TRAIN] epoch=19, iter=12350/40000, loss=0.4466, lr=0.007173, batch_cost=0.4968, reader_cost=0.0001 | ETA 03:48:55 2020-12-17 16:52:32 [INFO] [TRAIN] epoch=19, iter=12360/40000, loss=0.3554, lr=0.007170, batch_cost=0.5039, reader_cost=0.0001 | ETA 03:52:07 2020-12-17 16:52:37 [INFO] [TRAIN] epoch=19, iter=12370/40000, loss=0.4221, lr=0.007168, batch_cost=0.5099, reader_cost=0.0000 | ETA 03:54:49 2020-12-17 16:52:43 [INFO] [TRAIN] epoch=19, iter=12380/40000, loss=0.3946, lr=0.007166, batch_cost=0.5206, reader_cost=0.0001 | ETA 03:59:37 2020-12-17 16:52:47 [INFO] [TRAIN] epoch=19, iter=12390/40000, loss=0.3852, lr=0.007163, batch_cost=0.4803, reader_cost=0.0001 | ETA 03:41:01 2020-12-17 16:52:52 [INFO] [TRAIN] epoch=19, iter=12400/40000, loss=0.5702, lr=0.007161, batch_cost=0.4801, reader_cost=0.0001 | ETA 03:40:51 2020-12-17 16:52:57 [INFO] [TRAIN] epoch=19, iter=12410/40000, loss=0.3838, lr=0.007159, batch_cost=0.4903, reader_cost=0.0001 | ETA 03:45:28 2020-12-17 16:53:02 [INFO] [TRAIN] epoch=19, iter=12420/40000, loss=0.3678, lr=0.007156, batch_cost=0.4810, reader_cost=0.0001 | ETA 03:41:07 2020-12-17 16:53:07 [INFO] [TRAIN] epoch=19, iter=12430/40000, loss=0.2983, lr=0.007154, batch_cost=0.4841, reader_cost=0.0001 | ETA 03:42:26 2020-12-17 16:53:11 [INFO] [TRAIN] epoch=19, iter=12440/40000, loss=0.5172, lr=0.007152, batch_cost=0.4763, reader_cost=0.0001 | ETA 03:38:46 2020-12-17 16:53:16 [INFO] [TRAIN] epoch=19, iter=12450/40000, loss=0.2585, lr=0.007149, batch_cost=0.4799, reader_cost=0.0001 | ETA 03:40:21 2020-12-17 16:53:22 [INFO] [TRAIN] epoch=19, iter=12460/40000, loss=0.3419, lr=0.007147, batch_cost=0.5231, reader_cost=0.0001 | ETA 04:00:06 2020-12-17 16:53:26 [INFO] [TRAIN] epoch=19, iter=12470/40000, loss=0.2628, lr=0.007145, batch_cost=0.4891, reader_cost=0.0001 | ETA 03:44:24 2020-12-17 16:53:31 [INFO] [TRAIN] epoch=19, iter=12480/40000, loss=0.4030, lr=0.007142, batch_cost=0.4956, reader_cost=0.0001 | ETA 03:47:17 2020-12-17 16:53:36 [INFO] [TRAIN] epoch=19, iter=12490/40000, loss=0.4767, lr=0.007140, batch_cost=0.4933, reader_cost=0.0001 | ETA 03:46:11 2020-12-17 16:53:41 [INFO] [TRAIN] epoch=19, iter=12500/40000, loss=0.3741, lr=0.007138, batch_cost=0.5120, reader_cost=0.0001 | ETA 03:54:39 2020-12-17 16:53:46 [INFO] [TRAIN] epoch=19, iter=12510/40000, loss=0.3679, lr=0.007135, batch_cost=0.4858, reader_cost=0.0001 | ETA 03:42:35 2020-12-17 16:53:51 [INFO] [TRAIN] epoch=19, iter=12520/40000, loss=0.3148, lr=0.007133, batch_cost=0.4782, reader_cost=0.0001 | ETA 03:39:00 2020-12-17 16:53:56 [INFO] [TRAIN] epoch=19, iter=12530/40000, loss=0.3548, lr=0.007131, batch_cost=0.4817, reader_cost=0.0001 | ETA 03:40:31 2020-12-17 16:54:01 [INFO] [TRAIN] epoch=19, iter=12540/40000, loss=0.3668, lr=0.007128, batch_cost=0.4997, reader_cost=0.0001 | ETA 03:48:42 2020-12-17 16:54:06 [INFO] [TRAIN] epoch=19, iter=12550/40000, loss=0.3108, lr=0.007126, batch_cost=0.4849, reader_cost=0.0001 | ETA 03:41:50 2020-12-17 16:54:11 [INFO] [TRAIN] epoch=20, iter=12560/40000, loss=0.4610, lr=0.007124, batch_cost=0.4975, reader_cost=0.0379 | ETA 03:47:32 2020-12-17 16:54:16 [INFO] [TRAIN] epoch=20, iter=12570/40000, loss=0.4081, lr=0.007121, batch_cost=0.4948, reader_cost=0.0001 | ETA 03:46:11 2020-12-17 16:54:21 [INFO] [TRAIN] epoch=20, iter=12580/40000, loss=0.3403, lr=0.007119, batch_cost=0.4998, reader_cost=0.0001 | ETA 03:48:23 2020-12-17 16:54:26 [INFO] [TRAIN] epoch=20, iter=12590/40000, loss=0.3704, lr=0.007117, batch_cost=0.5000, reader_cost=0.0001 | ETA 03:48:24 2020-12-17 16:54:31 [INFO] [TRAIN] epoch=20, iter=12600/40000, loss=0.2676, lr=0.007114, batch_cost=0.5028, reader_cost=0.0001 | ETA 03:49:37 2020-12-17 16:54:36 [INFO] [TRAIN] epoch=20, iter=12610/40000, loss=0.2958, lr=0.007112, batch_cost=0.5155, reader_cost=0.0001 | ETA 03:55:18 2020-12-17 16:54:41 [INFO] [TRAIN] epoch=20, iter=12620/40000, loss=0.4835, lr=0.007110, batch_cost=0.5113, reader_cost=0.0001 | ETA 03:53:18 2020-12-17 16:54:46 [INFO] [TRAIN] epoch=20, iter=12630/40000, loss=0.2966, lr=0.007107, batch_cost=0.4896, reader_cost=0.0001 | ETA 03:43:19 2020-12-17 16:54:51 [INFO] [TRAIN] epoch=20, iter=12640/40000, loss=0.4593, lr=0.007105, batch_cost=0.5093, reader_cost=0.0001 | ETA 03:52:13 2020-12-17 16:54:56 [INFO] [TRAIN] epoch=20, iter=12650/40000, loss=0.4205, lr=0.007103, batch_cost=0.5271, reader_cost=0.0001 | ETA 04:00:14 2020-12-17 16:55:01 [INFO] [TRAIN] epoch=20, iter=12660/40000, loss=0.2671, lr=0.007100, batch_cost=0.5186, reader_cost=0.0001 | ETA 03:56:19 2020-12-17 16:55:06 [INFO] [TRAIN] epoch=20, iter=12670/40000, loss=0.3678, lr=0.007098, batch_cost=0.5073, reader_cost=0.0001 | ETA 03:51:04 2020-12-17 16:55:11 [INFO] [TRAIN] epoch=20, iter=12680/40000, loss=0.3863, lr=0.007096, batch_cost=0.5008, reader_cost=0.0005 | ETA 03:48:02 2020-12-17 16:55:17 [INFO] [TRAIN] epoch=20, iter=12690/40000, loss=0.3527, lr=0.007093, batch_cost=0.5287, reader_cost=0.0004 | ETA 04:00:38 2020-12-17 16:55:22 [INFO] [TRAIN] epoch=20, iter=12700/40000, loss=0.3259, lr=0.007091, batch_cost=0.5187, reader_cost=0.0001 | ETA 03:56:00 2020-12-17 16:55:27 [INFO] [TRAIN] epoch=20, iter=12710/40000, loss=0.3694, lr=0.007089, batch_cost=0.5168, reader_cost=0.0009 | ETA 03:55:02 2020-12-17 16:55:32 [INFO] [TRAIN] epoch=20, iter=12720/40000, loss=0.3231, lr=0.007086, batch_cost=0.5308, reader_cost=0.0004 | ETA 04:01:20 2020-12-17 16:55:37 [INFO] [TRAIN] epoch=20, iter=12730/40000, loss=0.2843, lr=0.007084, batch_cost=0.4869, reader_cost=0.0001 | ETA 03:41:18 2020-12-17 16:55:43 [INFO] [TRAIN] epoch=20, iter=12740/40000, loss=0.3860, lr=0.007082, batch_cost=0.5464, reader_cost=0.0019 | ETA 04:08:14 2020-12-17 16:55:48 [INFO] [TRAIN] epoch=20, iter=12750/40000, loss=0.3530, lr=0.007079, batch_cost=0.4911, reader_cost=0.0001 | ETA 03:43:03 2020-12-17 16:55:53 [INFO] [TRAIN] epoch=20, iter=12760/40000, loss=0.5506, lr=0.007077, batch_cost=0.5158, reader_cost=0.0001 | ETA 03:54:10 2020-12-17 16:55:58 [INFO] [TRAIN] epoch=20, iter=12770/40000, loss=0.2872, lr=0.007075, batch_cost=0.5049, reader_cost=0.0004 | ETA 03:49:08 2020-12-17 16:56:03 [INFO] [TRAIN] epoch=20, iter=12780/40000, loss=0.3232, lr=0.007072, batch_cost=0.5037, reader_cost=0.0001 | ETA 03:48:29 2020-12-17 16:56:08 [INFO] [TRAIN] epoch=20, iter=12790/40000, loss=0.3590, lr=0.007070, batch_cost=0.4992, reader_cost=0.0001 | ETA 03:46:22 2020-12-17 16:56:13 [INFO] [TRAIN] epoch=20, iter=12800/40000, loss=0.2676, lr=0.007068, batch_cost=0.5095, reader_cost=0.0001 | ETA 03:50:59 2020-12-17 16:56:18 [INFO] [TRAIN] epoch=20, iter=12810/40000, loss=0.2822, lr=0.007065, batch_cost=0.5149, reader_cost=0.0001 | ETA 03:53:21 2020-12-17 16:56:23 [INFO] [TRAIN] epoch=20, iter=12820/40000, loss=0.4552, lr=0.007063, batch_cost=0.5271, reader_cost=0.0001 | ETA 03:58:46 2020-12-17 16:56:28 [INFO] [TRAIN] epoch=20, iter=12830/40000, loss=0.4018, lr=0.007061, batch_cost=0.4996, reader_cost=0.0001 | ETA 03:46:13 2020-12-17 16:56:34 [INFO] [TRAIN] epoch=20, iter=12840/40000, loss=0.3805, lr=0.007058, batch_cost=0.5123, reader_cost=0.0005 | ETA 03:51:54 2020-12-17 16:56:38 [INFO] [TRAIN] epoch=20, iter=12850/40000, loss=0.5074, lr=0.007056, batch_cost=0.4903, reader_cost=0.0007 | ETA 03:41:50 2020-12-17 16:56:44 [INFO] [TRAIN] epoch=20, iter=12860/40000, loss=0.3559, lr=0.007054, batch_cost=0.5090, reader_cost=0.0001 | ETA 03:50:14 2020-12-17 16:56:49 [INFO] [TRAIN] epoch=20, iter=12870/40000, loss=0.3462, lr=0.007051, batch_cost=0.4982, reader_cost=0.0001 | ETA 03:45:17 2020-12-17 16:56:53 [INFO] [TRAIN] epoch=20, iter=12880/40000, loss=0.2645, lr=0.007049, batch_cost=0.4785, reader_cost=0.0001 | ETA 03:36:16 2020-12-17 16:56:58 [INFO] [TRAIN] epoch=20, iter=12890/40000, loss=0.2896, lr=0.007047, batch_cost=0.4888, reader_cost=0.0000 | ETA 03:40:50 2020-12-17 16:57:03 [INFO] [TRAIN] epoch=20, iter=12900/40000, loss=0.3468, lr=0.007044, batch_cost=0.4996, reader_cost=0.0004 | ETA 03:45:40 2020-12-17 16:57:08 [INFO] [TRAIN] epoch=20, iter=12910/40000, loss=0.2609, lr=0.007042, batch_cost=0.5000, reader_cost=0.0001 | ETA 03:45:45 2020-12-17 16:57:13 [INFO] [TRAIN] epoch=20, iter=12920/40000, loss=0.3403, lr=0.007040, batch_cost=0.5126, reader_cost=0.0003 | ETA 03:51:19 2020-12-17 16:57:19 [INFO] [TRAIN] epoch=20, iter=12930/40000, loss=0.3822, lr=0.007037, batch_cost=0.5345, reader_cost=0.0003 | ETA 04:01:10 2020-12-17 16:57:24 [INFO] [TRAIN] epoch=20, iter=12940/40000, loss=0.2752, lr=0.007035, batch_cost=0.4928, reader_cost=0.0001 | ETA 03:42:15 2020-12-17 16:57:28 [INFO] [TRAIN] epoch=20, iter=12950/40000, loss=0.2769, lr=0.007033, batch_cost=0.4844, reader_cost=0.0001 | ETA 03:38:21 2020-12-17 16:57:33 [INFO] [TRAIN] epoch=20, iter=12960/40000, loss=0.2608, lr=0.007030, batch_cost=0.4967, reader_cost=0.0001 | ETA 03:43:51 2020-12-17 16:57:39 [INFO] [TRAIN] epoch=20, iter=12970/40000, loss=0.3013, lr=0.007028, batch_cost=0.5150, reader_cost=0.0001 | ETA 03:52:00 2020-12-17 16:57:44 [INFO] [TRAIN] epoch=20, iter=12980/40000, loss=0.4059, lr=0.007026, batch_cost=0.5036, reader_cost=0.0001 | ETA 03:46:47 2020-12-17 16:57:49 [INFO] [TRAIN] epoch=20, iter=12990/40000, loss=0.3938, lr=0.007023, batch_cost=0.5305, reader_cost=0.0001 | ETA 03:58:48 2020-12-17 16:57:55 [INFO] [TRAIN] epoch=20, iter=13000/40000, loss=0.3507, lr=0.007021, batch_cost=0.6426, reader_cost=0.0004 | ETA 04:49:09 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 16:57:55 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 16:58:18 [INFO] [EVAL] #Images=1449 mIoU=0.7573 Acc=0.9455 Kappa=0.8791 2020-12-17 16:58:18 [INFO] [EVAL] Class IoU: [0.9405 0.8765 0.4221 0.9058 0.6711 0.8293 0.9411 0.8543 0.9098 0.3907 0.7921 0.6613 0.8572 0.8134 0.841 0.8439 0.5826 0.7798 0.4639 0.848 0.6796] 2020-12-17 16:58:18 [INFO] [EVAL] Class Acc: [0.964 0.9088 0.4491 0.9605 0.7794 0.903 0.9704 0.8945 0.9419 0.5933 0.8156 0.8956 0.9307 0.9505 0.906 0.9554 0.8101 0.895 0.8183 0.9538 0.7696] 2020-12-17 16:58:23 [INFO] [EVAL] The model with the best validation mIoU (0.7573) was saved at iter 13000. 2020-12-17 16:58:29 [INFO] [TRAIN] epoch=20, iter=13010/40000, loss=0.2966, lr=0.007018, batch_cost=0.5519, reader_cost=0.0001 | ETA 04:08:16 2020-12-17 16:58:34 [INFO] [TRAIN] epoch=20, iter=13020/40000, loss=0.3007, lr=0.007016, batch_cost=0.4985, reader_cost=0.0001 | ETA 03:44:08 2020-12-17 16:58:39 [INFO] [TRAIN] epoch=20, iter=13030/40000, loss=0.2957, lr=0.007014, batch_cost=0.5026, reader_cost=0.0001 | ETA 03:45:56 2020-12-17 16:58:45 [INFO] [TRAIN] epoch=20, iter=13040/40000, loss=0.3321, lr=0.007011, batch_cost=0.5866, reader_cost=0.0001 | ETA 04:23:35 2020-12-17 16:58:52 [INFO] [TRAIN] epoch=20, iter=13050/40000, loss=0.3271, lr=0.007009, batch_cost=0.6894, reader_cost=0.0004 | ETA 05:09:38 2020-12-17 16:59:01 [INFO] [TRAIN] epoch=20, iter=13060/40000, loss=0.3760, lr=0.007007, batch_cost=0.9657, reader_cost=0.0083 | ETA 07:13:36 2020-12-17 16:59:08 [INFO] [TRAIN] epoch=20, iter=13070/40000, loss=0.2518, lr=0.007004, batch_cost=0.6946, reader_cost=0.0001 | ETA 05:11:45 2020-12-17 16:59:14 [INFO] [TRAIN] epoch=20, iter=13080/40000, loss=0.4327, lr=0.007002, batch_cost=0.5841, reader_cost=0.0002 | ETA 04:22:02 2020-12-17 16:59:21 [INFO] [TRAIN] epoch=20, iter=13090/40000, loss=0.3587, lr=0.007000, batch_cost=0.6295, reader_cost=0.0002 | ETA 04:42:18 2020-12-17 16:59:27 [INFO] [TRAIN] epoch=20, iter=13100/40000, loss=0.3619, lr=0.006997, batch_cost=0.6211, reader_cost=0.0008 | ETA 04:38:28 2020-12-17 16:59:34 [INFO] [TRAIN] epoch=20, iter=13110/40000, loss=0.2582, lr=0.006995, batch_cost=0.7563, reader_cost=0.0005 | ETA 05:38:55 2020-12-17 16:59:40 [INFO] [TRAIN] epoch=20, iter=13120/40000, loss=0.3361, lr=0.006993, batch_cost=0.5952, reader_cost=0.0001 | ETA 04:26:39 2020-12-17 16:59:46 [INFO] [TRAIN] epoch=20, iter=13130/40000, loss=0.2913, lr=0.006990, batch_cost=0.6183, reader_cost=0.0017 | ETA 04:36:53 2020-12-17 16:59:57 [INFO] [TRAIN] epoch=20, iter=13140/40000, loss=0.3415, lr=0.006988, batch_cost=1.0569, reader_cost=0.0093 | ETA 07:53:08 2020-12-17 17:00:03 [INFO] [TRAIN] epoch=20, iter=13150/40000, loss=0.3434, lr=0.006986, batch_cost=0.6390, reader_cost=0.0042 | ETA 04:45:58 2020-12-17 17:00:08 [INFO] [TRAIN] epoch=20, iter=13160/40000, loss=0.3531, lr=0.006983, batch_cost=0.5066, reader_cost=0.0001 | ETA 03:46:35 2020-12-17 17:00:15 [INFO] [TRAIN] epoch=20, iter=13170/40000, loss=0.2893, lr=0.006981, batch_cost=0.6194, reader_cost=0.0001 | ETA 04:36:58 2020-12-17 17:00:20 [INFO] [TRAIN] epoch=20, iter=13180/40000, loss=0.4034, lr=0.006979, batch_cost=0.5632, reader_cost=0.0001 | ETA 04:11:44 2020-12-17 17:00:25 [INFO] [TRAIN] epoch=20, iter=13190/40000, loss=0.3266, lr=0.006976, batch_cost=0.4951, reader_cost=0.0001 | ETA 03:41:13 2020-12-17 17:00:30 [INFO] [TRAIN] epoch=20, iter=13200/40000, loss=0.3933, lr=0.006974, batch_cost=0.5069, reader_cost=0.0001 | ETA 03:46:23 2020-12-17 17:00:37 [INFO] [TRAIN] epoch=20, iter=13210/40000, loss=0.3702, lr=0.006972, batch_cost=0.6392, reader_cost=0.0012 | ETA 04:45:23 2020-12-17 17:00:41 [INFO] [TRAIN] epoch=20, iter=13220/40000, loss=0.3008, lr=0.006969, batch_cost=0.4569, reader_cost=0.0061 | ETA 03:23:56 2020-12-17 17:00:47 [INFO] [TRAIN] epoch=21, iter=13230/40000, loss=0.3684, lr=0.006967, batch_cost=0.5504, reader_cost=0.0217 | ETA 04:05:35 2020-12-17 17:00:52 [INFO] [TRAIN] epoch=21, iter=13240/40000, loss=0.3085, lr=0.006965, batch_cost=0.5056, reader_cost=0.0001 | ETA 03:45:29 2020-12-17 17:00:57 [INFO] [TRAIN] epoch=21, iter=13250/40000, loss=0.3664, lr=0.006962, batch_cost=0.5204, reader_cost=0.0001 | ETA 03:51:59 2020-12-17 17:01:02 [INFO] [TRAIN] epoch=21, iter=13260/40000, loss=0.2898, lr=0.006960, batch_cost=0.5126, reader_cost=0.0001 | ETA 03:48:26 2020-12-17 17:01:07 [INFO] [TRAIN] epoch=21, iter=13270/40000, loss=0.2514, lr=0.006958, batch_cost=0.4971, reader_cost=0.0001 | ETA 03:41:26 2020-12-17 17:01:12 [INFO] [TRAIN] epoch=21, iter=13280/40000, loss=0.2925, lr=0.006955, batch_cost=0.4990, reader_cost=0.0001 | ETA 03:42:14 2020-12-17 17:01:17 [INFO] [TRAIN] epoch=21, iter=13290/40000, loss=0.2978, lr=0.006953, batch_cost=0.5002, reader_cost=0.0001 | ETA 03:42:39 2020-12-17 17:01:22 [INFO] [TRAIN] epoch=21, iter=13300/40000, loss=0.2735, lr=0.006951, batch_cost=0.5151, reader_cost=0.0001 | ETA 03:49:13 2020-12-17 17:01:27 [INFO] [TRAIN] epoch=21, iter=13310/40000, loss=0.2856, lr=0.006948, batch_cost=0.5065, reader_cost=0.0001 | ETA 03:45:17 2020-12-17 17:01:34 [INFO] [TRAIN] epoch=21, iter=13320/40000, loss=0.2888, lr=0.006946, batch_cost=0.6482, reader_cost=0.0003 | ETA 04:48:13 2020-12-17 17:01:40 [INFO] [TRAIN] epoch=21, iter=13330/40000, loss=0.3293, lr=0.006944, batch_cost=0.5898, reader_cost=0.0003 | ETA 04:22:08 2020-12-17 17:01:45 [INFO] [TRAIN] epoch=21, iter=13340/40000, loss=0.2922, lr=0.006941, batch_cost=0.5034, reader_cost=0.0001 | ETA 03:43:41 2020-12-17 17:01:50 [INFO] [TRAIN] epoch=21, iter=13350/40000, loss=0.4010, lr=0.006939, batch_cost=0.5112, reader_cost=0.0001 | ETA 03:47:02 2020-12-17 17:01:55 [INFO] [TRAIN] epoch=21, iter=13360/40000, loss=0.3293, lr=0.006937, batch_cost=0.4970, reader_cost=0.0001 | ETA 03:40:39 2020-12-17 17:02:00 [INFO] [TRAIN] epoch=21, iter=13370/40000, loss=0.2642, lr=0.006934, batch_cost=0.4951, reader_cost=0.0001 | ETA 03:39:44 2020-12-17 17:02:05 [INFO] [TRAIN] epoch=21, iter=13380/40000, loss=0.3679, lr=0.006932, batch_cost=0.5111, reader_cost=0.0001 | ETA 03:46:46 2020-12-17 17:02:10 [INFO] [TRAIN] epoch=21, iter=13390/40000, loss=0.3567, lr=0.006929, batch_cost=0.5009, reader_cost=0.0001 | ETA 03:42:10 2020-12-17 17:02:15 [INFO] [TRAIN] epoch=21, iter=13400/40000, loss=0.2648, lr=0.006927, batch_cost=0.4954, reader_cost=0.0001 | ETA 03:39:38 2020-12-17 17:02:20 [INFO] [TRAIN] epoch=21, iter=13410/40000, loss=0.2782, lr=0.006925, batch_cost=0.5042, reader_cost=0.0001 | ETA 03:43:27 2020-12-17 17:02:25 [INFO] [TRAIN] epoch=21, iter=13420/40000, loss=0.3332, lr=0.006922, batch_cost=0.4893, reader_cost=0.0001 | ETA 03:36:46 2020-12-17 17:02:31 [INFO] [TRAIN] epoch=21, iter=13430/40000, loss=0.2571, lr=0.006920, batch_cost=0.6421, reader_cost=0.0001 | ETA 04:44:20 2020-12-17 17:02:36 [INFO] [TRAIN] epoch=21, iter=13440/40000, loss=0.2982, lr=0.006918, batch_cost=0.4899, reader_cost=0.0001 | ETA 03:36:51 2020-12-17 17:02:41 [INFO] [TRAIN] epoch=21, iter=13450/40000, loss=0.3292, lr=0.006915, batch_cost=0.4837, reader_cost=0.0001 | ETA 03:34:01 2020-12-17 17:02:46 [INFO] [TRAIN] epoch=21, iter=13460/40000, loss=0.3249, lr=0.006913, batch_cost=0.4709, reader_cost=0.0001 | ETA 03:28:17 2020-12-17 17:02:51 [INFO] [TRAIN] epoch=21, iter=13470/40000, loss=0.3468, lr=0.006911, batch_cost=0.4868, reader_cost=0.0001 | ETA 03:35:13 2020-12-17 17:02:55 [INFO] [TRAIN] epoch=21, iter=13480/40000, loss=0.3184, lr=0.006908, batch_cost=0.4811, reader_cost=0.0001 | ETA 03:32:37 2020-12-17 17:03:00 [INFO] [TRAIN] epoch=21, iter=13490/40000, loss=0.4233, lr=0.006906, batch_cost=0.4791, reader_cost=0.0001 | ETA 03:31:41 2020-12-17 17:03:05 [INFO] [TRAIN] epoch=21, iter=13500/40000, loss=0.3143, lr=0.006904, batch_cost=0.4766, reader_cost=0.0001 | ETA 03:30:30 2020-12-17 17:03:10 [INFO] [TRAIN] epoch=21, iter=13510/40000, loss=0.3196, lr=0.006901, batch_cost=0.4950, reader_cost=0.0001 | ETA 03:38:33 2020-12-17 17:03:15 [INFO] [TRAIN] epoch=21, iter=13520/40000, loss=0.3488, lr=0.006899, batch_cost=0.4848, reader_cost=0.0001 | ETA 03:33:58 2020-12-17 17:03:22 [INFO] [TRAIN] epoch=21, iter=13530/40000, loss=0.2647, lr=0.006897, batch_cost=0.6913, reader_cost=0.0001 | ETA 05:04:57 2020-12-17 17:03:27 [INFO] [TRAIN] epoch=21, iter=13540/40000, loss=0.3087, lr=0.006894, batch_cost=0.4906, reader_cost=0.0001 | ETA 03:36:20 2020-12-17 17:03:31 [INFO] [TRAIN] epoch=21, iter=13550/40000, loss=0.3676, lr=0.006892, batch_cost=0.4806, reader_cost=0.0001 | ETA 03:31:51 2020-12-17 17:03:36 [INFO] [TRAIN] epoch=21, iter=13560/40000, loss=0.3129, lr=0.006890, batch_cost=0.4916, reader_cost=0.0001 | ETA 03:36:38 2020-12-17 17:03:41 [INFO] [TRAIN] epoch=21, iter=13570/40000, loss=0.2744, lr=0.006887, batch_cost=0.4729, reader_cost=0.0001 | ETA 03:28:19 2020-12-17 17:03:46 [INFO] [TRAIN] epoch=21, iter=13580/40000, loss=0.2676, lr=0.006885, batch_cost=0.4760, reader_cost=0.0001 | ETA 03:29:36 2020-12-17 17:03:51 [INFO] [TRAIN] epoch=21, iter=13590/40000, loss=0.2314, lr=0.006883, batch_cost=0.4761, reader_cost=0.0001 | ETA 03:29:32 2020-12-17 17:03:55 [INFO] [TRAIN] epoch=21, iter=13600/40000, loss=0.2956, lr=0.006880, batch_cost=0.4786, reader_cost=0.0001 | ETA 03:30:33 2020-12-17 17:04:00 [INFO] [TRAIN] epoch=21, iter=13610/40000, loss=0.2917, lr=0.006878, batch_cost=0.4925, reader_cost=0.0001 | ETA 03:36:36 2020-12-17 17:04:05 [INFO] [TRAIN] epoch=21, iter=13620/40000, loss=0.3683, lr=0.006876, batch_cost=0.4745, reader_cost=0.0001 | ETA 03:28:37 2020-12-17 17:04:11 [INFO] [TRAIN] epoch=21, iter=13630/40000, loss=0.3466, lr=0.006873, batch_cost=0.5612, reader_cost=0.0001 | ETA 04:06:38 2020-12-17 17:04:17 [INFO] [TRAIN] epoch=21, iter=13640/40000, loss=0.3986, lr=0.006871, batch_cost=0.6112, reader_cost=0.0065 | ETA 04:28:30 2020-12-17 17:04:22 [INFO] [TRAIN] epoch=21, iter=13650/40000, loss=0.3751, lr=0.006869, batch_cost=0.4853, reader_cost=0.0001 | ETA 03:33:07 2020-12-17 17:04:26 [INFO] [TRAIN] epoch=21, iter=13660/40000, loss=0.3719, lr=0.006866, batch_cost=0.4833, reader_cost=0.0001 | ETA 03:32:10 2020-12-17 17:04:31 [INFO] [TRAIN] epoch=21, iter=13670/40000, loss=0.3641, lr=0.006864, batch_cost=0.4884, reader_cost=0.0001 | ETA 03:34:18 2020-12-17 17:04:36 [INFO] [TRAIN] epoch=21, iter=13680/40000, loss=0.2508, lr=0.006861, batch_cost=0.4854, reader_cost=0.0001 | ETA 03:32:55 2020-12-17 17:04:42 [INFO] [TRAIN] epoch=21, iter=13690/40000, loss=0.2586, lr=0.006859, batch_cost=0.5816, reader_cost=0.0001 | ETA 04:15:01 2020-12-17 17:04:47 [INFO] [TRAIN] epoch=21, iter=13700/40000, loss=0.4423, lr=0.006857, batch_cost=0.4818, reader_cost=0.0001 | ETA 03:31:10 2020-12-17 17:04:52 [INFO] [TRAIN] epoch=21, iter=13710/40000, loss=0.2592, lr=0.006854, batch_cost=0.4859, reader_cost=0.0001 | ETA 03:32:53 2020-12-17 17:04:56 [INFO] [TRAIN] epoch=21, iter=13720/40000, loss=0.4481, lr=0.006852, batch_cost=0.4782, reader_cost=0.0001 | ETA 03:29:27 2020-12-17 17:05:01 [INFO] [TRAIN] epoch=21, iter=13730/40000, loss=0.5976, lr=0.006850, batch_cost=0.4767, reader_cost=0.0001 | ETA 03:28:42 2020-12-17 17:05:07 [INFO] [TRAIN] epoch=21, iter=13740/40000, loss=0.3459, lr=0.006847, batch_cost=0.6064, reader_cost=0.0001 | ETA 04:25:23 2020-12-17 17:05:12 [INFO] [TRAIN] epoch=21, iter=13750/40000, loss=0.6588, lr=0.006845, batch_cost=0.4974, reader_cost=0.0001 | ETA 03:37:36 2020-12-17 17:05:17 [INFO] [TRAIN] epoch=21, iter=13760/40000, loss=0.4629, lr=0.006843, batch_cost=0.4877, reader_cost=0.0001 | ETA 03:33:18 2020-12-17 17:05:22 [INFO] [TRAIN] epoch=21, iter=13770/40000, loss=0.4240, lr=0.006840, batch_cost=0.4824, reader_cost=0.0001 | ETA 03:30:54 2020-12-17 17:05:31 [INFO] [TRAIN] epoch=21, iter=13780/40000, loss=0.5719, lr=0.006838, batch_cost=0.8803, reader_cost=0.0067 | ETA 06:24:41 2020-12-17 17:05:38 [INFO] [TRAIN] epoch=21, iter=13790/40000, loss=0.4194, lr=0.006836, batch_cost=0.7038, reader_cost=0.0011 | ETA 05:07:27 2020-12-17 17:05:43 [INFO] [TRAIN] epoch=21, iter=13800/40000, loss=0.4969, lr=0.006833, batch_cost=0.4763, reader_cost=0.0001 | ETA 03:27:59 2020-12-17 17:05:47 [INFO] [TRAIN] epoch=21, iter=13810/40000, loss=0.5738, lr=0.006831, batch_cost=0.4847, reader_cost=0.0001 | ETA 03:31:34 2020-12-17 17:05:52 [INFO] [TRAIN] epoch=21, iter=13820/40000, loss=0.5436, lr=0.006829, batch_cost=0.4876, reader_cost=0.0001 | ETA 03:32:44 2020-12-17 17:05:57 [INFO] [TRAIN] epoch=21, iter=13830/40000, loss=0.3585, lr=0.006826, batch_cost=0.4975, reader_cost=0.0001 | ETA 03:37:00 2020-12-17 17:06:02 [INFO] [TRAIN] epoch=21, iter=13840/40000, loss=0.2738, lr=0.006824, batch_cost=0.4802, reader_cost=0.0001 | ETA 03:29:21 2020-12-17 17:06:07 [INFO] [TRAIN] epoch=21, iter=13850/40000, loss=0.2628, lr=0.006822, batch_cost=0.4687, reader_cost=0.0001 | ETA 03:24:16 2020-12-17 17:06:11 [INFO] [TRAIN] epoch=21, iter=13860/40000, loss=0.3289, lr=0.006819, batch_cost=0.4653, reader_cost=0.0001 | ETA 03:22:43 2020-12-17 17:06:16 [INFO] [TRAIN] epoch=21, iter=13870/40000, loss=0.3565, lr=0.006817, batch_cost=0.4771, reader_cost=0.0001 | ETA 03:27:45 2020-12-17 17:06:21 [INFO] [TRAIN] epoch=21, iter=13880/40000, loss=0.2860, lr=0.006815, batch_cost=0.4554, reader_cost=0.0001 | ETA 03:18:16 2020-12-17 17:06:32 [INFO] [TRAIN] epoch=22, iter=13890/40000, loss=0.4747, lr=0.006812, batch_cost=1.1153, reader_cost=0.0632 | ETA 08:05:21 2020-12-17 17:06:37 [INFO] [TRAIN] epoch=22, iter=13900/40000, loss=0.3534, lr=0.006810, batch_cost=0.4713, reader_cost=0.0001 | ETA 03:25:00 2020-12-17 17:06:41 [INFO] [TRAIN] epoch=22, iter=13910/40000, loss=0.2490, lr=0.006808, batch_cost=0.4753, reader_cost=0.0001 | ETA 03:26:41 2020-12-17 17:06:46 [INFO] [TRAIN] epoch=22, iter=13920/40000, loss=0.2745, lr=0.006805, batch_cost=0.4922, reader_cost=0.0001 | ETA 03:33:55 2020-12-17 17:06:51 [INFO] [TRAIN] epoch=22, iter=13930/40000, loss=0.3751, lr=0.006803, batch_cost=0.4854, reader_cost=0.0001 | ETA 03:30:55 2020-12-17 17:06:56 [INFO] [TRAIN] epoch=22, iter=13940/40000, loss=0.2952, lr=0.006800, batch_cost=0.4747, reader_cost=0.0001 | ETA 03:26:10 2020-12-17 17:07:02 [INFO] [TRAIN] epoch=22, iter=13950/40000, loss=0.4790, lr=0.006798, batch_cost=0.5750, reader_cost=0.0003 | ETA 04:09:39 2020-12-17 17:07:07 [INFO] [TRAIN] epoch=22, iter=13960/40000, loss=0.3639, lr=0.006796, batch_cost=0.5039, reader_cost=0.0001 | ETA 03:38:42 2020-12-17 17:07:12 [INFO] [TRAIN] epoch=22, iter=13970/40000, loss=0.3993, lr=0.006793, batch_cost=0.4877, reader_cost=0.0001 | ETA 03:31:35 2020-12-17 17:07:19 [INFO] [TRAIN] epoch=22, iter=13980/40000, loss=0.3071, lr=0.006791, batch_cost=0.7846, reader_cost=0.0056 | ETA 05:40:14 2020-12-17 17:07:24 [INFO] [TRAIN] epoch=22, iter=13990/40000, loss=0.3958, lr=0.006789, batch_cost=0.4768, reader_cost=0.0001 | ETA 03:26:41 2020-12-17 17:07:29 [INFO] [TRAIN] epoch=22, iter=14000/40000, loss=0.4690, lr=0.006786, batch_cost=0.4720, reader_cost=0.0001 | ETA 03:24:32 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 17:07:29 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 17:07:51 [INFO] [EVAL] #Images=1449 mIoU=0.7472 Acc=0.9418 Kappa=0.8714 2020-12-17 17:07:51 [INFO] [EVAL] Class IoU: [0.9361 0.886 0.405 0.8575 0.6789 0.8043 0.9318 0.8751 0.9162 0.3786 0.8035 0.4976 0.8617 0.8391 0.8516 0.8521 0.5786 0.7716 0.4502 0.8006 0.7151] 2020-12-17 17:07:51 [INFO] [EVAL] Class Acc: [0.9632 0.9223 0.4175 0.9715 0.7744 0.8771 0.9598 0.9375 0.9601 0.5285 0.8943 0.9522 0.9054 0.8792 0.9296 0.9185 0.7428 0.9253 0.6976 0.9561 0.9048] 2020-12-17 17:07:55 [INFO] [EVAL] The model with the best validation mIoU (0.7573) was saved at iter 13000. 2020-12-17 17:08:00 [INFO] [TRAIN] epoch=22, iter=14010/40000, loss=0.2970, lr=0.006784, batch_cost=0.4658, reader_cost=0.0001 | ETA 03:21:46 2020-12-17 17:08:05 [INFO] [TRAIN] epoch=22, iter=14020/40000, loss=0.4066, lr=0.006782, batch_cost=0.5437, reader_cost=0.0004 | ETA 03:55:24 2020-12-17 17:08:12 [INFO] [TRAIN] epoch=22, iter=14030/40000, loss=0.5044, lr=0.006779, batch_cost=0.6543, reader_cost=0.0003 | ETA 04:43:11 2020-12-17 17:08:18 [INFO] [TRAIN] epoch=22, iter=14040/40000, loss=0.2827, lr=0.006777, batch_cost=0.6010, reader_cost=0.0001 | ETA 04:20:01 2020-12-17 17:08:23 [INFO] [TRAIN] epoch=22, iter=14050/40000, loss=0.3966, lr=0.006775, batch_cost=0.5713, reader_cost=0.0001 | ETA 04:07:04 2020-12-17 17:08:28 [INFO] [TRAIN] epoch=22, iter=14060/40000, loss=0.3246, lr=0.006772, batch_cost=0.4858, reader_cost=0.0001 | ETA 03:30:02 2020-12-17 17:08:33 [INFO] [TRAIN] epoch=22, iter=14070/40000, loss=0.4068, lr=0.006770, batch_cost=0.4772, reader_cost=0.0001 | ETA 03:26:13 2020-12-17 17:08:38 [INFO] [TRAIN] epoch=22, iter=14080/40000, loss=0.2683, lr=0.006768, batch_cost=0.4783, reader_cost=0.0001 | ETA 03:26:38 2020-12-17 17:08:43 [INFO] [TRAIN] epoch=22, iter=14090/40000, loss=0.2112, lr=0.006765, batch_cost=0.4950, reader_cost=0.0001 | ETA 03:33:44 2020-12-17 17:08:48 [INFO] [TRAIN] epoch=22, iter=14100/40000, loss=0.3511, lr=0.006763, batch_cost=0.5613, reader_cost=0.0001 | ETA 04:02:18 2020-12-17 17:08:53 [INFO] [TRAIN] epoch=22, iter=14110/40000, loss=0.3533, lr=0.006761, batch_cost=0.4813, reader_cost=0.0001 | ETA 03:27:41 2020-12-17 17:08:59 [INFO] [TRAIN] epoch=22, iter=14120/40000, loss=0.3589, lr=0.006758, batch_cost=0.5426, reader_cost=0.0001 | ETA 03:54:03 2020-12-17 17:09:03 [INFO] [TRAIN] epoch=22, iter=14130/40000, loss=0.3412, lr=0.006756, batch_cost=0.4918, reader_cost=0.0001 | ETA 03:32:02 2020-12-17 17:09:09 [INFO] [TRAIN] epoch=22, iter=14140/40000, loss=0.3651, lr=0.006753, batch_cost=0.5234, reader_cost=0.0001 | ETA 03:45:36 2020-12-17 17:09:14 [INFO] [TRAIN] epoch=22, iter=14150/40000, loss=0.2924, lr=0.006751, batch_cost=0.5011, reader_cost=0.0001 | ETA 03:35:53 2020-12-17 17:09:19 [INFO] [TRAIN] epoch=22, iter=14160/40000, loss=0.3181, lr=0.006749, batch_cost=0.4819, reader_cost=0.0001 | ETA 03:27:32 2020-12-17 17:09:24 [INFO] [TRAIN] epoch=22, iter=14170/40000, loss=0.3252, lr=0.006746, batch_cost=0.5233, reader_cost=0.0001 | ETA 03:45:17 2020-12-17 17:09:29 [INFO] [TRAIN] epoch=22, iter=14180/40000, loss=0.4196, lr=0.006744, batch_cost=0.4979, reader_cost=0.0001 | ETA 03:34:16 2020-12-17 17:09:34 [INFO] [TRAIN] epoch=22, iter=14190/40000, loss=0.4892, lr=0.006742, batch_cost=0.4888, reader_cost=0.0001 | ETA 03:30:15 2020-12-17 17:09:39 [INFO] [TRAIN] epoch=22, iter=14200/40000, loss=0.4401, lr=0.006739, batch_cost=0.5015, reader_cost=0.0001 | ETA 03:35:39 2020-12-17 17:09:44 [INFO] [TRAIN] epoch=22, iter=14210/40000, loss=0.3561, lr=0.006737, batch_cost=0.5194, reader_cost=0.0001 | ETA 03:43:14 2020-12-17 17:09:49 [INFO] [TRAIN] epoch=22, iter=14220/40000, loss=0.2613, lr=0.006735, batch_cost=0.4814, reader_cost=0.0001 | ETA 03:26:50 2020-12-17 17:09:54 [INFO] [TRAIN] epoch=22, iter=14230/40000, loss=0.3791, lr=0.006732, batch_cost=0.5020, reader_cost=0.0001 | ETA 03:35:36 2020-12-17 17:09:59 [INFO] [TRAIN] epoch=22, iter=14240/40000, loss=0.3887, lr=0.006730, batch_cost=0.5435, reader_cost=0.0013 | ETA 03:53:20 2020-12-17 17:10:04 [INFO] [TRAIN] epoch=22, iter=14250/40000, loss=0.3671, lr=0.006728, batch_cost=0.5063, reader_cost=0.0001 | ETA 03:37:17 2020-12-17 17:10:09 [INFO] [TRAIN] epoch=22, iter=14260/40000, loss=0.5787, lr=0.006725, batch_cost=0.4865, reader_cost=0.0001 | ETA 03:28:41 2020-12-17 17:10:14 [INFO] [TRAIN] epoch=22, iter=14270/40000, loss=0.4000, lr=0.006723, batch_cost=0.4813, reader_cost=0.0001 | ETA 03:26:23 2020-12-17 17:10:19 [INFO] [TRAIN] epoch=22, iter=14280/40000, loss=0.3369, lr=0.006721, batch_cost=0.5223, reader_cost=0.0003 | ETA 03:43:54 2020-12-17 17:10:24 [INFO] [TRAIN] epoch=22, iter=14290/40000, loss=0.3990, lr=0.006718, batch_cost=0.4825, reader_cost=0.0001 | ETA 03:26:46 2020-12-17 17:10:29 [INFO] [TRAIN] epoch=22, iter=14300/40000, loss=0.3352, lr=0.006716, batch_cost=0.4883, reader_cost=0.0001 | ETA 03:29:10 2020-12-17 17:10:36 [INFO] [TRAIN] epoch=22, iter=14310/40000, loss=0.4340, lr=0.006713, batch_cost=0.6770, reader_cost=0.0025 | ETA 04:49:51 2020-12-17 17:10:40 [INFO] [TRAIN] epoch=22, iter=14320/40000, loss=0.3287, lr=0.006711, batch_cost=0.4791, reader_cost=0.0001 | ETA 03:25:02 2020-12-17 17:10:47 [INFO] [TRAIN] epoch=22, iter=14330/40000, loss=0.3303, lr=0.006709, batch_cost=0.6344, reader_cost=0.0013 | ETA 04:31:25 2020-12-17 17:10:53 [INFO] [TRAIN] epoch=22, iter=14340/40000, loss=0.2915, lr=0.006706, batch_cost=0.6032, reader_cost=0.0028 | ETA 04:17:59 2020-12-17 17:10:58 [INFO] [TRAIN] epoch=22, iter=14350/40000, loss=0.3217, lr=0.006704, batch_cost=0.5115, reader_cost=0.0001 | ETA 03:38:41 2020-12-17 17:11:03 [INFO] [TRAIN] epoch=22, iter=14360/40000, loss=0.3409, lr=0.006702, batch_cost=0.4843, reader_cost=0.0001 | ETA 03:26:56 2020-12-17 17:11:09 [INFO] [TRAIN] epoch=22, iter=14370/40000, loss=0.3173, lr=0.006699, batch_cost=0.6235, reader_cost=0.0056 | ETA 04:26:19 2020-12-17 17:11:14 [INFO] [TRAIN] epoch=22, iter=14380/40000, loss=0.4055, lr=0.006697, batch_cost=0.4688, reader_cost=0.0001 | ETA 03:20:11 2020-12-17 17:11:19 [INFO] [TRAIN] epoch=22, iter=14390/40000, loss=0.3333, lr=0.006695, batch_cost=0.4877, reader_cost=0.0001 | ETA 03:28:10 2020-12-17 17:11:23 [INFO] [TRAIN] epoch=22, iter=14400/40000, loss=0.1991, lr=0.006692, batch_cost=0.4786, reader_cost=0.0003 | ETA 03:24:11 2020-12-17 17:11:28 [INFO] [TRAIN] epoch=22, iter=14410/40000, loss=0.3485, lr=0.006690, batch_cost=0.4808, reader_cost=0.0001 | ETA 03:25:02 2020-12-17 17:11:33 [INFO] [TRAIN] epoch=22, iter=14420/40000, loss=0.4168, lr=0.006688, batch_cost=0.4831, reader_cost=0.0003 | ETA 03:25:58 2020-12-17 17:11:41 [INFO] [TRAIN] epoch=22, iter=14430/40000, loss=0.4136, lr=0.006685, batch_cost=0.7978, reader_cost=0.0006 | ETA 05:40:00 2020-12-17 17:11:46 [INFO] [TRAIN] epoch=22, iter=14440/40000, loss=0.4201, lr=0.006683, batch_cost=0.5234, reader_cost=0.0001 | ETA 03:42:58 2020-12-17 17:11:51 [INFO] [TRAIN] epoch=22, iter=14450/40000, loss=0.4232, lr=0.006681, batch_cost=0.4886, reader_cost=0.0001 | ETA 03:28:02 2020-12-17 17:11:56 [INFO] [TRAIN] epoch=22, iter=14460/40000, loss=0.2948, lr=0.006678, batch_cost=0.4910, reader_cost=0.0001 | ETA 03:28:59 2020-12-17 17:12:01 [INFO] [TRAIN] epoch=22, iter=14470/40000, loss=0.2343, lr=0.006676, batch_cost=0.4769, reader_cost=0.0001 | ETA 03:22:56 2020-12-17 17:12:06 [INFO] [TRAIN] epoch=22, iter=14480/40000, loss=0.3675, lr=0.006674, batch_cost=0.4907, reader_cost=0.0001 | ETA 03:28:43 2020-12-17 17:12:11 [INFO] [TRAIN] epoch=22, iter=14490/40000, loss=0.3842, lr=0.006671, batch_cost=0.4933, reader_cost=0.0001 | ETA 03:29:44 2020-12-17 17:12:15 [INFO] [TRAIN] epoch=22, iter=14500/40000, loss=0.2808, lr=0.006669, batch_cost=0.4767, reader_cost=0.0001 | ETA 03:22:35 2020-12-17 17:12:20 [INFO] [TRAIN] epoch=22, iter=14510/40000, loss=0.3822, lr=0.006666, batch_cost=0.5007, reader_cost=0.0001 | ETA 03:32:42 2020-12-17 17:12:27 [INFO] [TRAIN] epoch=22, iter=14520/40000, loss=0.3215, lr=0.006664, batch_cost=0.6485, reader_cost=0.0001 | ETA 04:35:23 2020-12-17 17:12:34 [INFO] [TRAIN] epoch=22, iter=14530/40000, loss=0.4025, lr=0.006662, batch_cost=0.6998, reader_cost=0.0086 | ETA 04:57:03 2020-12-17 17:12:39 [INFO] [TRAIN] epoch=22, iter=14540/40000, loss=0.2569, lr=0.006659, batch_cost=0.5189, reader_cost=0.0002 | ETA 03:40:11 2020-12-17 17:12:45 [INFO] [TRAIN] epoch=23, iter=14550/40000, loss=0.3639, lr=0.006657, batch_cost=0.5594, reader_cost=0.0353 | ETA 03:57:16 2020-12-17 17:12:50 [INFO] [TRAIN] epoch=23, iter=14560/40000, loss=0.4050, lr=0.006655, batch_cost=0.5361, reader_cost=0.0002 | ETA 03:47:17 2020-12-17 17:12:56 [INFO] [TRAIN] epoch=23, iter=14570/40000, loss=0.3437, lr=0.006652, batch_cost=0.5774, reader_cost=0.0001 | ETA 04:04:43 2020-12-17 17:13:01 [INFO] [TRAIN] epoch=23, iter=14580/40000, loss=0.3464, lr=0.006650, batch_cost=0.5743, reader_cost=0.0003 | ETA 04:03:18 2020-12-17 17:13:07 [INFO] [TRAIN] epoch=23, iter=14590/40000, loss=0.3560, lr=0.006648, batch_cost=0.5495, reader_cost=0.0001 | ETA 03:52:41 2020-12-17 17:13:14 [INFO] [TRAIN] epoch=23, iter=14600/40000, loss=0.2929, lr=0.006645, batch_cost=0.6646, reader_cost=0.0028 | ETA 04:41:21 2020-12-17 17:13:19 [INFO] [TRAIN] epoch=23, iter=14610/40000, loss=0.4093, lr=0.006643, batch_cost=0.5501, reader_cost=0.0003 | ETA 03:52:47 2020-12-17 17:13:25 [INFO] [TRAIN] epoch=23, iter=14620/40000, loss=0.4939, lr=0.006641, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:48:52 2020-12-17 17:13:30 [INFO] [TRAIN] epoch=23, iter=14630/40000, loss=0.2147, lr=0.006638, batch_cost=0.5417, reader_cost=0.0001 | ETA 03:49:02 2020-12-17 17:13:35 [INFO] [TRAIN] epoch=23, iter=14640/40000, loss=0.2766, lr=0.006636, batch_cost=0.5300, reader_cost=0.0001 | ETA 03:44:01 2020-12-17 17:13:41 [INFO] [TRAIN] epoch=23, iter=14650/40000, loss=0.4836, lr=0.006633, batch_cost=0.5821, reader_cost=0.0102 | ETA 04:05:55 2020-12-17 17:13:47 [INFO] [TRAIN] epoch=23, iter=14660/40000, loss=0.3156, lr=0.006631, batch_cost=0.5537, reader_cost=0.0001 | ETA 03:53:50 2020-12-17 17:13:55 [INFO] [TRAIN] epoch=23, iter=14670/40000, loss=0.3086, lr=0.006629, batch_cost=0.8420, reader_cost=0.0004 | ETA 05:55:26 2020-12-17 17:14:04 [INFO] [TRAIN] epoch=23, iter=14680/40000, loss=0.4121, lr=0.006626, batch_cost=0.9259, reader_cost=0.0009 | ETA 06:30:42 2020-12-17 17:14:10 [INFO] [TRAIN] epoch=23, iter=14690/40000, loss=0.2732, lr=0.006624, batch_cost=0.6029, reader_cost=0.0013 | ETA 04:14:18 2020-12-17 17:14:16 [INFO] [TRAIN] epoch=23, iter=14700/40000, loss=0.3542, lr=0.006622, batch_cost=0.5298, reader_cost=0.0001 | ETA 03:43:22 2020-12-17 17:14:21 [INFO] [TRAIN] epoch=23, iter=14710/40000, loss=0.2978, lr=0.006619, batch_cost=0.5626, reader_cost=0.0001 | ETA 03:57:07 2020-12-17 17:14:27 [INFO] [TRAIN] epoch=23, iter=14720/40000, loss=0.3447, lr=0.006617, batch_cost=0.5695, reader_cost=0.0001 | ETA 03:59:57 2020-12-17 17:14:33 [INFO] [TRAIN] epoch=23, iter=14730/40000, loss=0.3803, lr=0.006615, batch_cost=0.5642, reader_cost=0.0009 | ETA 03:57:36 2020-12-17 17:14:38 [INFO] [TRAIN] epoch=23, iter=14740/40000, loss=0.3659, lr=0.006612, batch_cost=0.5742, reader_cost=0.0001 | ETA 04:01:45 2020-12-17 17:14:44 [INFO] [TRAIN] epoch=23, iter=14750/40000, loss=0.2880, lr=0.006610, batch_cost=0.5282, reader_cost=0.0003 | ETA 03:42:17 2020-12-17 17:14:49 [INFO] [TRAIN] epoch=23, iter=14760/40000, loss=0.3339, lr=0.006608, batch_cost=0.5156, reader_cost=0.0001 | ETA 03:36:52 2020-12-17 17:14:54 [INFO] [TRAIN] epoch=23, iter=14770/40000, loss=0.4723, lr=0.006605, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:46:24 2020-12-17 17:14:59 [INFO] [TRAIN] epoch=23, iter=14780/40000, loss=0.2999, lr=0.006603, batch_cost=0.5127, reader_cost=0.0001 | ETA 03:35:31 2020-12-17 17:15:05 [INFO] [TRAIN] epoch=23, iter=14790/40000, loss=0.4935, lr=0.006601, batch_cost=0.5299, reader_cost=0.0004 | ETA 03:42:39 2020-12-17 17:15:10 [INFO] [TRAIN] epoch=23, iter=14800/40000, loss=0.2717, lr=0.006598, batch_cost=0.5221, reader_cost=0.0001 | ETA 03:39:15 2020-12-17 17:15:15 [INFO] [TRAIN] epoch=23, iter=14810/40000, loss=0.2331, lr=0.006596, batch_cost=0.5041, reader_cost=0.0003 | ETA 03:31:38 2020-12-17 17:15:20 [INFO] [TRAIN] epoch=23, iter=14820/40000, loss=0.2466, lr=0.006593, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:46:13 2020-12-17 17:15:25 [INFO] [TRAIN] epoch=23, iter=14830/40000, loss=0.4228, lr=0.006591, batch_cost=0.5203, reader_cost=0.0003 | ETA 03:38:16 2020-12-17 17:15:31 [INFO] [TRAIN] epoch=23, iter=14840/40000, loss=0.3539, lr=0.006589, batch_cost=0.5439, reader_cost=0.0031 | ETA 03:48:04 2020-12-17 17:15:36 [INFO] [TRAIN] epoch=23, iter=14850/40000, loss=0.2813, lr=0.006586, batch_cost=0.5136, reader_cost=0.0003 | ETA 03:35:16 2020-12-17 17:15:41 [INFO] [TRAIN] epoch=23, iter=14860/40000, loss=0.4059, lr=0.006584, batch_cost=0.5235, reader_cost=0.0001 | ETA 03:39:21 2020-12-17 17:15:47 [INFO] [TRAIN] epoch=23, iter=14870/40000, loss=0.3470, lr=0.006582, batch_cost=0.5283, reader_cost=0.0008 | ETA 03:41:15 2020-12-17 17:15:52 [INFO] [TRAIN] epoch=23, iter=14880/40000, loss=0.3265, lr=0.006579, batch_cost=0.5500, reader_cost=0.0121 | ETA 03:50:16 2020-12-17 17:15:57 [INFO] [TRAIN] epoch=23, iter=14890/40000, loss=0.3627, lr=0.006577, batch_cost=0.5302, reader_cost=0.0001 | ETA 03:41:53 2020-12-17 17:16:03 [INFO] [TRAIN] epoch=23, iter=14900/40000, loss=0.2640, lr=0.006575, batch_cost=0.5348, reader_cost=0.0001 | ETA 03:43:44 2020-12-17 17:16:08 [INFO] [TRAIN] epoch=23, iter=14910/40000, loss=0.4300, lr=0.006572, batch_cost=0.5485, reader_cost=0.0001 | ETA 03:49:22 2020-12-17 17:16:14 [INFO] [TRAIN] epoch=23, iter=14920/40000, loss=0.2898, lr=0.006570, batch_cost=0.5330, reader_cost=0.0007 | ETA 03:42:46 2020-12-17 17:16:19 [INFO] [TRAIN] epoch=23, iter=14930/40000, loss=0.2785, lr=0.006568, batch_cost=0.5352, reader_cost=0.0006 | ETA 03:43:36 2020-12-17 17:16:24 [INFO] [TRAIN] epoch=23, iter=14940/40000, loss=0.3027, lr=0.006565, batch_cost=0.5110, reader_cost=0.0004 | ETA 03:33:24 2020-12-17 17:16:29 [INFO] [TRAIN] epoch=23, iter=14950/40000, loss=0.4090, lr=0.006563, batch_cost=0.4969, reader_cost=0.0004 | ETA 03:27:26 2020-12-17 17:16:35 [INFO] [TRAIN] epoch=23, iter=14960/40000, loss=0.3142, lr=0.006560, batch_cost=0.5720, reader_cost=0.0001 | ETA 03:58:43 2020-12-17 17:16:40 [INFO] [TRAIN] epoch=23, iter=14970/40000, loss=0.4181, lr=0.006558, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:44:31 2020-12-17 17:16:45 [INFO] [TRAIN] epoch=23, iter=14980/40000, loss=0.2754, lr=0.006556, batch_cost=0.5331, reader_cost=0.0008 | ETA 03:42:18 2020-12-17 17:16:51 [INFO] [TRAIN] epoch=23, iter=14990/40000, loss=0.4332, lr=0.006553, batch_cost=0.5212, reader_cost=0.0009 | ETA 03:37:14 2020-12-17 17:16:56 [INFO] [TRAIN] epoch=23, iter=15000/40000, loss=0.3783, lr=0.006551, batch_cost=0.5538, reader_cost=0.0001 | ETA 03:50:45 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-17 17:16:56 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 17:17:16 [INFO] [EVAL] #Images=1449 mIoU=0.7730 Acc=0.9486 Kappa=0.8869 2020-12-17 17:17:16 [INFO] [EVAL] Class IoU: [0.9429 0.8856 0.427 0.8776 0.7007 0.838 0.9478 0.862 0.9285 0.3475 0.8451 0.5595 0.8899 0.8586 0.8611 0.8597 0.6458 0.807 0.511 0.8787 0.7595] 2020-12-17 17:17:16 [INFO] [EVAL] Class Acc: [0.9682 0.9205 0.4425 0.9446 0.7757 0.9084 0.9735 0.9395 0.9565 0.6396 0.879 0.9247 0.9356 0.9263 0.9398 0.9282 0.7955 0.9231 0.6765 0.9482 0.901 ] 2020-12-17 17:17:22 [INFO] [EVAL] The model with the best validation mIoU (0.7730) was saved at iter 15000. 2020-12-17 17:17:27 [INFO] [TRAIN] epoch=23, iter=15010/40000, loss=0.3894, lr=0.006549, batch_cost=0.4838, reader_cost=0.0001 | ETA 03:21:30 2020-12-17 17:17:32 [INFO] [TRAIN] epoch=23, iter=15020/40000, loss=0.3619, lr=0.006546, batch_cost=0.4817, reader_cost=0.0001 | ETA 03:20:34 2020-12-17 17:17:37 [INFO] [TRAIN] epoch=23, iter=15030/40000, loss=0.4249, lr=0.006544, batch_cost=0.4753, reader_cost=0.0001 | ETA 03:17:49 2020-12-17 17:17:42 [INFO] [TRAIN] epoch=23, iter=15040/40000, loss=0.3256, lr=0.006542, batch_cost=0.4847, reader_cost=0.0001 | ETA 03:21:39 2020-12-17 17:17:47 [INFO] [TRAIN] epoch=23, iter=15050/40000, loss=0.3240, lr=0.006539, batch_cost=0.5122, reader_cost=0.0001 | ETA 03:32:58 2020-12-17 17:17:52 [INFO] [TRAIN] epoch=23, iter=15060/40000, loss=0.2971, lr=0.006537, batch_cost=0.5488, reader_cost=0.0001 | ETA 03:48:07 2020-12-17 17:17:58 [INFO] [TRAIN] epoch=23, iter=15070/40000, loss=0.4310, lr=0.006534, batch_cost=0.5330, reader_cost=0.0003 | ETA 03:41:26 2020-12-17 17:18:03 [INFO] [TRAIN] epoch=23, iter=15080/40000, loss=0.3091, lr=0.006532, batch_cost=0.5480, reader_cost=0.0008 | ETA 03:47:35 2020-12-17 17:18:08 [INFO] [TRAIN] epoch=23, iter=15090/40000, loss=0.2974, lr=0.006530, batch_cost=0.5445, reader_cost=0.0003 | ETA 03:46:03 2020-12-17 17:18:14 [INFO] [TRAIN] epoch=23, iter=15100/40000, loss=0.2684, lr=0.006527, batch_cost=0.5511, reader_cost=0.0001 | ETA 03:48:42 2020-12-17 17:18:20 [INFO] [TRAIN] epoch=23, iter=15110/40000, loss=0.3483, lr=0.006525, batch_cost=0.5938, reader_cost=0.0001 | ETA 04:06:20 2020-12-17 17:18:25 [INFO] [TRAIN] epoch=23, iter=15120/40000, loss=0.3198, lr=0.006523, batch_cost=0.5428, reader_cost=0.0001 | ETA 03:45:05 2020-12-17 17:18:31 [INFO] [TRAIN] epoch=23, iter=15130/40000, loss=0.3245, lr=0.006520, batch_cost=0.5447, reader_cost=0.0001 | ETA 03:45:46 2020-12-17 17:18:36 [INFO] [TRAIN] epoch=23, iter=15140/40000, loss=0.2963, lr=0.006518, batch_cost=0.5190, reader_cost=0.0001 | ETA 03:35:02 2020-12-17 17:18:41 [INFO] [TRAIN] epoch=23, iter=15150/40000, loss=0.3428, lr=0.006516, batch_cost=0.5232, reader_cost=0.0001 | ETA 03:36:42 2020-12-17 17:18:47 [INFO] [TRAIN] epoch=23, iter=15160/40000, loss=0.3364, lr=0.006513, batch_cost=0.5280, reader_cost=0.0003 | ETA 03:38:35 2020-12-17 17:18:52 [INFO] [TRAIN] epoch=23, iter=15170/40000, loss=0.3402, lr=0.006511, batch_cost=0.5132, reader_cost=0.0001 | ETA 03:32:23 2020-12-17 17:18:57 [INFO] [TRAIN] epoch=23, iter=15180/40000, loss=0.3321, lr=0.006509, batch_cost=0.5195, reader_cost=0.0003 | ETA 03:34:54 2020-12-17 17:19:02 [INFO] [TRAIN] epoch=23, iter=15190/40000, loss=0.5616, lr=0.006506, batch_cost=0.5257, reader_cost=0.0001 | ETA 03:37:23 2020-12-17 17:19:07 [INFO] [TRAIN] epoch=23, iter=15200/40000, loss=0.4234, lr=0.006504, batch_cost=0.5145, reader_cost=0.0003 | ETA 03:32:39 2020-12-17 17:19:12 [INFO] [TRAIN] epoch=24, iter=15210/40000, loss=0.2967, lr=0.006501, batch_cost=0.5147, reader_cost=0.0314 | ETA 03:32:39 2020-12-17 17:19:18 [INFO] [TRAIN] epoch=24, iter=15220/40000, loss=0.2711, lr=0.006499, batch_cost=0.5441, reader_cost=0.0004 | ETA 03:44:43 2020-12-17 17:19:23 [INFO] [TRAIN] epoch=24, iter=15230/40000, loss=0.3468, lr=0.006497, batch_cost=0.5277, reader_cost=0.0001 | ETA 03:37:51 2020-12-17 17:19:28 [INFO] [TRAIN] epoch=24, iter=15240/40000, loss=0.2607, lr=0.006494, batch_cost=0.5237, reader_cost=0.0001 | ETA 03:36:07 2020-12-17 17:19:34 [INFO] [TRAIN] epoch=24, iter=15250/40000, loss=0.3270, lr=0.006492, batch_cost=0.5264, reader_cost=0.0003 | ETA 03:37:08 2020-12-17 17:19:39 [INFO] [TRAIN] epoch=24, iter=15260/40000, loss=0.2831, lr=0.006490, batch_cost=0.5275, reader_cost=0.0003 | ETA 03:37:29 2020-12-17 17:19:44 [INFO] [TRAIN] epoch=24, iter=15270/40000, loss=0.3523, lr=0.006487, batch_cost=0.5299, reader_cost=0.0002 | ETA 03:38:24 2020-12-17 17:19:49 [INFO] [TRAIN] epoch=24, iter=15280/40000, loss=0.3392, lr=0.006485, batch_cost=0.5092, reader_cost=0.0001 | ETA 03:29:46 2020-12-17 17:19:54 [INFO] [TRAIN] epoch=24, iter=15290/40000, loss=0.3252, lr=0.006483, batch_cost=0.5112, reader_cost=0.0004 | ETA 03:30:30 2020-12-17 17:20:00 [INFO] [TRAIN] epoch=24, iter=15300/40000, loss=0.2610, lr=0.006480, batch_cost=0.5186, reader_cost=0.0003 | ETA 03:33:30 2020-12-17 17:20:05 [INFO] [TRAIN] epoch=24, iter=15310/40000, loss=0.2380, lr=0.006478, batch_cost=0.4925, reader_cost=0.0001 | ETA 03:22:39 2020-12-17 17:20:09 [INFO] [TRAIN] epoch=24, iter=15320/40000, loss=0.2564, lr=0.006475, batch_cost=0.4891, reader_cost=0.0001 | ETA 03:21:11 2020-12-17 17:20:14 [INFO] [TRAIN] epoch=24, iter=15330/40000, loss=0.2438, lr=0.006473, batch_cost=0.4864, reader_cost=0.0001 | ETA 03:19:58 2020-12-17 17:20:19 [INFO] [TRAIN] epoch=24, iter=15340/40000, loss=0.4506, lr=0.006471, batch_cost=0.4755, reader_cost=0.0001 | ETA 03:15:25 2020-12-17 17:20:24 [INFO] [TRAIN] epoch=24, iter=15350/40000, loss=0.3735, lr=0.006468, batch_cost=0.4937, reader_cost=0.0001 | ETA 03:22:50 2020-12-17 17:20:29 [INFO] [TRAIN] epoch=24, iter=15360/40000, loss=0.3168, lr=0.006466, batch_cost=0.4851, reader_cost=0.0001 | ETA 03:19:13 2020-12-17 17:20:34 [INFO] [TRAIN] epoch=24, iter=15370/40000, loss=0.2903, lr=0.006464, batch_cost=0.4949, reader_cost=0.0001 | ETA 03:23:10 2020-12-17 17:20:39 [INFO] [TRAIN] epoch=24, iter=15380/40000, loss=0.2666, lr=0.006461, batch_cost=0.4896, reader_cost=0.0001 | ETA 03:20:54 2020-12-17 17:20:44 [INFO] [TRAIN] epoch=24, iter=15390/40000, loss=0.3519, lr=0.006459, batch_cost=0.5217, reader_cost=0.0003 | ETA 03:33:59 2020-12-17 17:20:49 [INFO] [TRAIN] epoch=24, iter=15400/40000, loss=0.3414, lr=0.006457, batch_cost=0.5154, reader_cost=0.0004 | ETA 03:31:18 2020-12-17 17:20:54 [INFO] [TRAIN] epoch=24, iter=15410/40000, loss=0.3409, lr=0.006454, batch_cost=0.5391, reader_cost=0.0003 | ETA 03:40:56 2020-12-17 17:21:00 [INFO] [TRAIN] epoch=24, iter=15420/40000, loss=0.3856, lr=0.006452, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:40:15 2020-12-17 17:21:05 [INFO] [TRAIN] epoch=24, iter=15430/40000, loss=0.2680, lr=0.006450, batch_cost=0.5183, reader_cost=0.0005 | ETA 03:32:14 2020-12-17 17:21:10 [INFO] [TRAIN] epoch=24, iter=15440/40000, loss=0.3335, lr=0.006447, batch_cost=0.5224, reader_cost=0.0002 | ETA 03:33:49 2020-12-17 17:21:16 [INFO] [TRAIN] epoch=24, iter=15450/40000, loss=0.3051, lr=0.006445, batch_cost=0.5553, reader_cost=0.0001 | ETA 03:47:12 2020-12-17 17:21:21 [INFO] [TRAIN] epoch=24, iter=15460/40000, loss=0.4101, lr=0.006442, batch_cost=0.5505, reader_cost=0.0001 | ETA 03:45:08 2020-12-17 17:21:26 [INFO] [TRAIN] epoch=24, iter=15470/40000, loss=0.3318, lr=0.006440, batch_cost=0.5036, reader_cost=0.0002 | ETA 03:25:53 2020-12-17 17:21:32 [INFO] [TRAIN] epoch=24, iter=15480/40000, loss=0.4130, lr=0.006438, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:39:46 2020-12-17 17:21:37 [INFO] [TRAIN] epoch=24, iter=15490/40000, loss=0.2539, lr=0.006435, batch_cost=0.5639, reader_cost=0.0001 | ETA 03:50:20 2020-12-17 17:21:43 [INFO] [TRAIN] epoch=24, iter=15500/40000, loss=0.3300, lr=0.006433, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:39:35 2020-12-17 17:21:48 [INFO] [TRAIN] epoch=24, iter=15510/40000, loss=0.3115, lr=0.006431, batch_cost=0.5360, reader_cost=0.0002 | ETA 03:38:47 2020-12-17 17:21:54 [INFO] [TRAIN] epoch=24, iter=15520/40000, loss=0.2697, lr=0.006428, batch_cost=0.5430, reader_cost=0.0001 | ETA 03:41:32 2020-12-17 17:21:59 [INFO] [TRAIN] epoch=24, iter=15530/40000, loss=0.4016, lr=0.006426, batch_cost=0.5507, reader_cost=0.0005 | ETA 03:44:35 2020-12-17 17:22:05 [INFO] [TRAIN] epoch=24, iter=15540/40000, loss=0.3547, lr=0.006424, batch_cost=0.5674, reader_cost=0.0001 | ETA 03:51:18 2020-12-17 17:22:10 [INFO] [TRAIN] epoch=24, iter=15550/40000, loss=0.3645, lr=0.006421, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:41:43 2020-12-17 17:22:16 [INFO] [TRAIN] epoch=24, iter=15560/40000, loss=0.2998, lr=0.006419, batch_cost=0.5720, reader_cost=0.0001 | ETA 03:52:58 2020-12-17 17:22:22 [INFO] [TRAIN] epoch=24, iter=15570/40000, loss=0.3790, lr=0.006416, batch_cost=0.6082, reader_cost=0.0001 | ETA 04:07:37 2020-12-17 17:22:28 [INFO] [TRAIN] epoch=24, iter=15580/40000, loss=0.3021, lr=0.006414, batch_cost=0.5543, reader_cost=0.0001 | ETA 03:45:36 2020-12-17 17:22:33 [INFO] [TRAIN] epoch=24, iter=15590/40000, loss=0.4016, lr=0.006412, batch_cost=0.5635, reader_cost=0.0001 | ETA 03:49:13 2020-12-17 17:22:39 [INFO] [TRAIN] epoch=24, iter=15600/40000, loss=0.4360, lr=0.006409, batch_cost=0.5496, reader_cost=0.0001 | ETA 03:43:31 2020-12-17 17:22:44 [INFO] [TRAIN] epoch=24, iter=15610/40000, loss=0.4082, lr=0.006407, batch_cost=0.5497, reader_cost=0.0001 | ETA 03:43:27 2020-12-17 17:22:49 [INFO] [TRAIN] epoch=24, iter=15620/40000, loss=0.2276, lr=0.006405, batch_cost=0.5310, reader_cost=0.0001 | ETA 03:35:46 2020-12-17 17:22:55 [INFO] [TRAIN] epoch=24, iter=15630/40000, loss=0.3515, lr=0.006402, batch_cost=0.5368, reader_cost=0.0003 | ETA 03:38:01 2020-12-17 17:23:00 [INFO] [TRAIN] epoch=24, iter=15640/40000, loss=0.2981, lr=0.006400, batch_cost=0.5236, reader_cost=0.0005 | ETA 03:32:35 2020-12-17 17:23:05 [INFO] [TRAIN] epoch=24, iter=15650/40000, loss=0.4404, lr=0.006398, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:38:47 2020-12-17 17:23:11 [INFO] [TRAIN] epoch=24, iter=15660/40000, loss=0.2280, lr=0.006395, batch_cost=0.5449, reader_cost=0.0004 | ETA 03:41:02 2020-12-17 17:23:16 [INFO] [TRAIN] epoch=24, iter=15670/40000, loss=0.3109, lr=0.006393, batch_cost=0.5408, reader_cost=0.0003 | ETA 03:39:18 2020-12-17 17:23:22 [INFO] [TRAIN] epoch=24, iter=15680/40000, loss=0.2960, lr=0.006390, batch_cost=0.5257, reader_cost=0.0001 | ETA 03:33:05 2020-12-17 17:23:27 [INFO] [TRAIN] epoch=24, iter=15690/40000, loss=0.2689, lr=0.006388, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:38:59 2020-12-17 17:23:33 [INFO] [TRAIN] epoch=24, iter=15700/40000, loss=0.2408, lr=0.006386, batch_cost=0.5856, reader_cost=0.0005 | ETA 03:57:09 2020-12-17 17:23:38 [INFO] [TRAIN] epoch=24, iter=15710/40000, loss=0.3272, lr=0.006383, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:37:08 2020-12-17 17:23:44 [INFO] [TRAIN] epoch=24, iter=15720/40000, loss=0.3370, lr=0.006381, batch_cost=0.5403, reader_cost=0.0033 | ETA 03:38:38 2020-12-17 17:23:49 [INFO] [TRAIN] epoch=24, iter=15730/40000, loss=0.3340, lr=0.006379, batch_cost=0.5184, reader_cost=0.0003 | ETA 03:29:41 2020-12-17 17:23:54 [INFO] [TRAIN] epoch=24, iter=15740/40000, loss=0.3157, lr=0.006376, batch_cost=0.5470, reader_cost=0.0004 | ETA 03:41:11 2020-12-17 17:24:00 [INFO] [TRAIN] epoch=24, iter=15750/40000, loss=0.2383, lr=0.006374, batch_cost=0.5333, reader_cost=0.0006 | ETA 03:35:31 2020-12-17 17:24:05 [INFO] [TRAIN] epoch=24, iter=15760/40000, loss=0.3494, lr=0.006371, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:39:06 2020-12-17 17:24:10 [INFO] [TRAIN] epoch=24, iter=15770/40000, loss=0.3149, lr=0.006369, batch_cost=0.5284, reader_cost=0.0001 | ETA 03:33:23 2020-12-17 17:24:16 [INFO] [TRAIN] epoch=24, iter=15780/40000, loss=0.2484, lr=0.006367, batch_cost=0.5515, reader_cost=0.0001 | ETA 03:42:37 2020-12-17 17:24:21 [INFO] [TRAIN] epoch=24, iter=15790/40000, loss=0.2389, lr=0.006364, batch_cost=0.5227, reader_cost=0.0001 | ETA 03:30:55 2020-12-17 17:24:26 [INFO] [TRAIN] epoch=24, iter=15800/40000, loss=0.3236, lr=0.006362, batch_cost=0.4776, reader_cost=0.0001 | ETA 03:12:38 2020-12-17 17:24:31 [INFO] [TRAIN] epoch=24, iter=15810/40000, loss=0.2225, lr=0.006360, batch_cost=0.5463, reader_cost=0.0001 | ETA 03:40:14 2020-12-17 17:24:37 [INFO] [TRAIN] epoch=24, iter=15820/40000, loss=0.4561, lr=0.006357, batch_cost=0.5222, reader_cost=0.0001 | ETA 03:30:26 2020-12-17 17:24:42 [INFO] [TRAIN] epoch=24, iter=15830/40000, loss=0.2169, lr=0.006355, batch_cost=0.5306, reader_cost=0.0001 | ETA 03:33:44 2020-12-17 17:24:47 [INFO] [TRAIN] epoch=24, iter=15840/40000, loss=0.4692, lr=0.006353, batch_cost=0.5312, reader_cost=0.0003 | ETA 03:33:52 2020-12-17 17:24:52 [INFO] [TRAIN] epoch=24, iter=15850/40000, loss=0.5678, lr=0.006350, batch_cost=0.4808, reader_cost=0.0001 | ETA 03:13:32 2020-12-17 17:24:57 [INFO] [TRAIN] epoch=24, iter=15860/40000, loss=0.2666, lr=0.006348, batch_cost=0.4656, reader_cost=0.0001 | ETA 03:07:18 2020-12-17 17:25:01 [INFO] [TRAIN] epoch=25, iter=15870/40000, loss=0.3709, lr=0.006345, batch_cost=0.4808, reader_cost=0.0257 | ETA 03:13:22 2020-12-17 17:25:06 [INFO] [TRAIN] epoch=25, iter=15880/40000, loss=0.2514, lr=0.006343, batch_cost=0.4854, reader_cost=0.0001 | ETA 03:15:07 2020-12-17 17:25:11 [INFO] [TRAIN] epoch=25, iter=15890/40000, loss=0.2739, lr=0.006341, batch_cost=0.4817, reader_cost=0.0001 | ETA 03:13:34 2020-12-17 17:25:16 [INFO] [TRAIN] epoch=25, iter=15900/40000, loss=0.3009, lr=0.006338, batch_cost=0.4725, reader_cost=0.0001 | ETA 03:09:47 2020-12-17 17:25:21 [INFO] [TRAIN] epoch=25, iter=15910/40000, loss=0.2887, lr=0.006336, batch_cost=0.4892, reader_cost=0.0001 | ETA 03:16:23 2020-12-17 17:25:26 [INFO] [TRAIN] epoch=25, iter=15920/40000, loss=0.3346, lr=0.006334, batch_cost=0.5291, reader_cost=0.0001 | ETA 03:32:19 2020-12-17 17:25:31 [INFO] [TRAIN] epoch=25, iter=15930/40000, loss=0.3666, lr=0.006331, batch_cost=0.5307, reader_cost=0.0004 | ETA 03:32:54 2020-12-17 17:25:37 [INFO] [TRAIN] epoch=25, iter=15940/40000, loss=0.2712, lr=0.006329, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:35:26 2020-12-17 17:25:42 [INFO] [TRAIN] epoch=25, iter=15950/40000, loss=0.3455, lr=0.006327, batch_cost=0.5516, reader_cost=0.0002 | ETA 03:41:06 2020-12-17 17:25:48 [INFO] [TRAIN] epoch=25, iter=15960/40000, loss=0.2881, lr=0.006324, batch_cost=0.5583, reader_cost=0.0005 | ETA 03:43:41 2020-12-17 17:25:53 [INFO] [TRAIN] epoch=25, iter=15970/40000, loss=0.4028, lr=0.006322, batch_cost=0.5230, reader_cost=0.0001 | ETA 03:29:27 2020-12-17 17:25:58 [INFO] [TRAIN] epoch=25, iter=15980/40000, loss=0.3485, lr=0.006319, batch_cost=0.5368, reader_cost=0.0005 | ETA 03:34:53 2020-12-17 17:26:04 [INFO] [TRAIN] epoch=25, iter=15990/40000, loss=0.4360, lr=0.006317, batch_cost=0.5220, reader_cost=0.0001 | ETA 03:28:54 2020-12-17 17:26:10 [INFO] [TRAIN] epoch=25, iter=16000/40000, loss=0.2811, lr=0.006315, batch_cost=0.5954, reader_cost=0.0005 | ETA 03:58:10 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 17:26:10 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 17:26:31 [INFO] [EVAL] #Images=1449 mIoU=0.7655 Acc=0.9465 Kappa=0.8822 2020-12-17 17:26:31 [INFO] [EVAL] Class IoU: [0.9422 0.8522 0.4231 0.8941 0.6611 0.8363 0.9135 0.8645 0.9046 0.3693 0.8601 0.5457 0.869 0.8493 0.8545 0.8588 0.6619 0.8623 0.5053 0.8157 0.7318] 2020-12-17 17:26:31 [INFO] [EVAL] Class Acc: [0.9678 0.8752 0.4443 0.9519 0.7905 0.9233 0.939 0.936 0.9265 0.5649 0.9377 0.9271 0.9455 0.899 0.933 0.928 0.846 0.9637 0.6665 0.9642 0.8292] 2020-12-17 17:26:36 [INFO] [EVAL] The model with the best validation mIoU (0.7730) was saved at iter 15000. 2020-12-17 17:26:41 [INFO] [TRAIN] epoch=25, iter=16010/40000, loss=0.2231, lr=0.006312, batch_cost=0.5345, reader_cost=0.0008 | ETA 03:33:42 2020-12-17 17:26:46 [INFO] [TRAIN] epoch=25, iter=16020/40000, loss=0.2835, lr=0.006310, batch_cost=0.5209, reader_cost=0.0070 | ETA 03:28:11 2020-12-17 17:26:51 [INFO] [TRAIN] epoch=25, iter=16030/40000, loss=0.2901, lr=0.006308, batch_cost=0.5195, reader_cost=0.0001 | ETA 03:27:32 2020-12-17 17:26:57 [INFO] [TRAIN] epoch=25, iter=16040/40000, loss=0.3268, lr=0.006305, batch_cost=0.5684, reader_cost=0.0007 | ETA 03:46:58 2020-12-17 17:27:03 [INFO] [TRAIN] epoch=25, iter=16050/40000, loss=0.3873, lr=0.006303, batch_cost=0.5694, reader_cost=0.0001 | ETA 03:47:17 2020-12-17 17:27:08 [INFO] [TRAIN] epoch=25, iter=16060/40000, loss=0.3632, lr=0.006300, batch_cost=0.5099, reader_cost=0.0001 | ETA 03:23:27 2020-12-17 17:27:13 [INFO] [TRAIN] epoch=25, iter=16070/40000, loss=0.2248, lr=0.006298, batch_cost=0.5392, reader_cost=0.0003 | ETA 03:35:03 2020-12-17 17:27:18 [INFO] [TRAIN] epoch=25, iter=16080/40000, loss=0.2971, lr=0.006296, batch_cost=0.5308, reader_cost=0.0001 | ETA 03:31:37 2020-12-17 17:27:24 [INFO] [TRAIN] epoch=25, iter=16090/40000, loss=0.2712, lr=0.006293, batch_cost=0.5535, reader_cost=0.0001 | ETA 03:40:33 2020-12-17 17:27:30 [INFO] [TRAIN] epoch=25, iter=16100/40000, loss=0.4245, lr=0.006291, batch_cost=0.5782, reader_cost=0.0003 | ETA 03:50:19 2020-12-17 17:27:35 [INFO] [TRAIN] epoch=25, iter=16110/40000, loss=0.3421, lr=0.006289, batch_cost=0.5326, reader_cost=0.0001 | ETA 03:32:04 2020-12-17 17:27:41 [INFO] [TRAIN] epoch=25, iter=16120/40000, loss=0.2693, lr=0.006286, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:35:06 2020-12-17 17:27:46 [INFO] [TRAIN] epoch=25, iter=16130/40000, loss=0.2210, lr=0.006284, batch_cost=0.5145, reader_cost=0.0001 | ETA 03:24:41 2020-12-17 17:27:51 [INFO] [TRAIN] epoch=25, iter=16140/40000, loss=0.3063, lr=0.006282, batch_cost=0.5448, reader_cost=0.0003 | ETA 03:36:38 2020-12-17 17:27:56 [INFO] [TRAIN] epoch=25, iter=16150/40000, loss=0.3245, lr=0.006279, batch_cost=0.5318, reader_cost=0.0001 | ETA 03:31:22 2020-12-17 17:28:01 [INFO] [TRAIN] epoch=25, iter=16160/40000, loss=0.2945, lr=0.006277, batch_cost=0.4843, reader_cost=0.0001 | ETA 03:12:25 2020-12-17 17:28:06 [INFO] [TRAIN] epoch=25, iter=16170/40000, loss=0.3010, lr=0.006274, batch_cost=0.4915, reader_cost=0.0001 | ETA 03:15:12 2020-12-17 17:28:11 [INFO] [TRAIN] epoch=25, iter=16180/40000, loss=0.3053, lr=0.006272, batch_cost=0.4828, reader_cost=0.0001 | ETA 03:11:40 2020-12-17 17:28:16 [INFO] [TRAIN] epoch=25, iter=16190/40000, loss=0.3125, lr=0.006270, batch_cost=0.4906, reader_cost=0.0001 | ETA 03:14:42 2020-12-17 17:28:21 [INFO] [TRAIN] epoch=25, iter=16200/40000, loss=0.4193, lr=0.006267, batch_cost=0.5047, reader_cost=0.0001 | ETA 03:20:10 2020-12-17 17:28:26 [INFO] [TRAIN] epoch=25, iter=16210/40000, loss=0.2881, lr=0.006265, batch_cost=0.4828, reader_cost=0.0001 | ETA 03:11:26 2020-12-17 17:28:31 [INFO] [TRAIN] epoch=25, iter=16220/40000, loss=0.3185, lr=0.006263, batch_cost=0.4928, reader_cost=0.0001 | ETA 03:15:18 2020-12-17 17:28:37 [INFO] [TRAIN] epoch=25, iter=16230/40000, loss=0.2429, lr=0.006260, batch_cost=0.5751, reader_cost=0.0006 | ETA 03:47:51 2020-12-17 17:28:42 [INFO] [TRAIN] epoch=25, iter=16240/40000, loss=0.2769, lr=0.006258, batch_cost=0.5405, reader_cost=0.0003 | ETA 03:34:02 2020-12-17 17:28:47 [INFO] [TRAIN] epoch=25, iter=16250/40000, loss=0.2631, lr=0.006255, batch_cost=0.5398, reader_cost=0.0003 | ETA 03:33:39 2020-12-17 17:28:52 [INFO] [TRAIN] epoch=25, iter=16260/40000, loss=0.2600, lr=0.006253, batch_cost=0.4992, reader_cost=0.0003 | ETA 03:17:31 2020-12-17 17:28:57 [INFO] [TRAIN] epoch=25, iter=16270/40000, loss=0.3039, lr=0.006251, batch_cost=0.5186, reader_cost=0.0003 | ETA 03:25:07 2020-12-17 17:29:03 [INFO] [TRAIN] epoch=25, iter=16280/40000, loss=0.3384, lr=0.006248, batch_cost=0.5030, reader_cost=0.0001 | ETA 03:18:50 2020-12-17 17:29:08 [INFO] [TRAIN] epoch=25, iter=16290/40000, loss=0.2225, lr=0.006246, batch_cost=0.5402, reader_cost=0.0001 | ETA 03:33:27 2020-12-17 17:29:13 [INFO] [TRAIN] epoch=25, iter=16300/40000, loss=0.3906, lr=0.006244, batch_cost=0.5312, reader_cost=0.0001 | ETA 03:29:50 2020-12-17 17:29:19 [INFO] [TRAIN] epoch=25, iter=16310/40000, loss=0.3249, lr=0.006241, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:34:30 2020-12-17 17:29:24 [INFO] [TRAIN] epoch=25, iter=16320/40000, loss=0.2541, lr=0.006239, batch_cost=0.5484, reader_cost=0.0041 | ETA 03:36:25 2020-12-17 17:29:30 [INFO] [TRAIN] epoch=25, iter=16330/40000, loss=0.2872, lr=0.006237, batch_cost=0.5704, reader_cost=0.0001 | ETA 03:45:01 2020-12-17 17:29:35 [INFO] [TRAIN] epoch=25, iter=16340/40000, loss=0.2901, lr=0.006234, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:33:50 2020-12-17 17:29:41 [INFO] [TRAIN] epoch=25, iter=16350/40000, loss=0.3407, lr=0.006232, batch_cost=0.5615, reader_cost=0.0006 | ETA 03:41:19 2020-12-17 17:29:46 [INFO] [TRAIN] epoch=25, iter=16360/40000, loss=0.3278, lr=0.006229, batch_cost=0.5426, reader_cost=0.0001 | ETA 03:33:47 2020-12-17 17:29:52 [INFO] [TRAIN] epoch=25, iter=16370/40000, loss=0.4244, lr=0.006227, batch_cost=0.5282, reader_cost=0.0002 | ETA 03:28:01 2020-12-17 17:29:57 [INFO] [TRAIN] epoch=25, iter=16380/40000, loss=0.3725, lr=0.006225, batch_cost=0.5543, reader_cost=0.0001 | ETA 03:38:13 2020-12-17 17:30:03 [INFO] [TRAIN] epoch=25, iter=16390/40000, loss=0.2832, lr=0.006222, batch_cost=0.5414, reader_cost=0.0005 | ETA 03:33:03 2020-12-17 17:30:08 [INFO] [TRAIN] epoch=25, iter=16400/40000, loss=0.3479, lr=0.006220, batch_cost=0.5524, reader_cost=0.0001 | ETA 03:37:16 2020-12-17 17:30:14 [INFO] [TRAIN] epoch=25, iter=16410/40000, loss=0.3304, lr=0.006218, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:33:12 2020-12-17 17:30:19 [INFO] [TRAIN] epoch=25, iter=16420/40000, loss=0.4014, lr=0.006215, batch_cost=0.5591, reader_cost=0.0001 | ETA 03:39:44 2020-12-17 17:30:25 [INFO] [TRAIN] epoch=25, iter=16430/40000, loss=0.3465, lr=0.006213, batch_cost=0.5507, reader_cost=0.0001 | ETA 03:36:20 2020-12-17 17:30:30 [INFO] [TRAIN] epoch=25, iter=16440/40000, loss=0.3624, lr=0.006210, batch_cost=0.5323, reader_cost=0.0005 | ETA 03:29:00 2020-12-17 17:30:36 [INFO] [TRAIN] epoch=25, iter=16450/40000, loss=0.3229, lr=0.006208, batch_cost=0.5606, reader_cost=0.0001 | ETA 03:40:01 2020-12-17 17:30:41 [INFO] [TRAIN] epoch=25, iter=16460/40000, loss=0.3090, lr=0.006206, batch_cost=0.5284, reader_cost=0.0001 | ETA 03:27:17 2020-12-17 17:30:46 [INFO] [TRAIN] epoch=25, iter=16470/40000, loss=0.2739, lr=0.006203, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:31:47 2020-12-17 17:30:52 [INFO] [TRAIN] epoch=25, iter=16480/40000, loss=0.3286, lr=0.006201, batch_cost=0.5331, reader_cost=0.0004 | ETA 03:28:58 2020-12-17 17:30:58 [INFO] [TRAIN] epoch=25, iter=16490/40000, loss=0.2752, lr=0.006199, batch_cost=0.6499, reader_cost=0.0048 | ETA 04:14:39 2020-12-17 17:31:03 [INFO] [TRAIN] epoch=25, iter=16500/40000, loss=0.2610, lr=0.006196, batch_cost=0.5249, reader_cost=0.0001 | ETA 03:25:36 2020-12-17 17:31:09 [INFO] [TRAIN] epoch=25, iter=16510/40000, loss=0.2743, lr=0.006194, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:31:23 2020-12-17 17:31:14 [INFO] [TRAIN] epoch=25, iter=16520/40000, loss=0.3151, lr=0.006191, batch_cost=0.5587, reader_cost=0.0036 | ETA 03:38:38 2020-12-17 17:31:20 [INFO] [TRAIN] epoch=26, iter=16530/40000, loss=0.3462, lr=0.006189, batch_cost=0.5416, reader_cost=0.0291 | ETA 03:31:51 2020-12-17 17:31:25 [INFO] [TRAIN] epoch=26, iter=16540/40000, loss=0.3719, lr=0.006187, batch_cost=0.5536, reader_cost=0.0001 | ETA 03:36:26 2020-12-17 17:31:31 [INFO] [TRAIN] epoch=26, iter=16550/40000, loss=0.2608, lr=0.006184, batch_cost=0.5738, reader_cost=0.0011 | ETA 03:44:14 2020-12-17 17:31:37 [INFO] [TRAIN] epoch=26, iter=16560/40000, loss=0.2633, lr=0.006182, batch_cost=0.5509, reader_cost=0.0001 | ETA 03:35:13 2020-12-17 17:31:42 [INFO] [TRAIN] epoch=26, iter=16570/40000, loss=0.4134, lr=0.006180, batch_cost=0.5324, reader_cost=0.0002 | ETA 03:27:55 2020-12-17 17:31:48 [INFO] [TRAIN] epoch=26, iter=16580/40000, loss=0.2046, lr=0.006177, batch_cost=0.5645, reader_cost=0.0001 | ETA 03:40:19 2020-12-17 17:31:53 [INFO] [TRAIN] epoch=26, iter=16590/40000, loss=0.2920, lr=0.006175, batch_cost=0.5645, reader_cost=0.0001 | ETA 03:40:13 2020-12-17 17:31:59 [INFO] [TRAIN] epoch=26, iter=16600/40000, loss=0.2008, lr=0.006172, batch_cost=0.5439, reader_cost=0.0001 | ETA 03:32:08 2020-12-17 17:32:04 [INFO] [TRAIN] epoch=26, iter=16610/40000, loss=0.2698, lr=0.006170, batch_cost=0.5109, reader_cost=0.0001 | ETA 03:19:09 2020-12-17 17:32:09 [INFO] [TRAIN] epoch=26, iter=16620/40000, loss=0.2583, lr=0.006168, batch_cost=0.5302, reader_cost=0.0001 | ETA 03:26:36 2020-12-17 17:32:15 [INFO] [TRAIN] epoch=26, iter=16630/40000, loss=0.3393, lr=0.006165, batch_cost=0.5542, reader_cost=0.0004 | ETA 03:35:52 2020-12-17 17:32:20 [INFO] [TRAIN] epoch=26, iter=16640/40000, loss=0.3195, lr=0.006163, batch_cost=0.5168, reader_cost=0.0003 | ETA 03:21:12 2020-12-17 17:32:25 [INFO] [TRAIN] epoch=26, iter=16650/40000, loss=0.3474, lr=0.006161, batch_cost=0.5252, reader_cost=0.0001 | ETA 03:24:24 2020-12-17 17:32:30 [INFO] [TRAIN] epoch=26, iter=16660/40000, loss=0.3188, lr=0.006158, batch_cost=0.4845, reader_cost=0.0001 | ETA 03:08:27 2020-12-17 17:32:35 [INFO] [TRAIN] epoch=26, iter=16670/40000, loss=0.2422, lr=0.006156, batch_cost=0.4944, reader_cost=0.0001 | ETA 03:12:14 2020-12-17 17:32:40 [INFO] [TRAIN] epoch=26, iter=16680/40000, loss=0.2650, lr=0.006153, batch_cost=0.4836, reader_cost=0.0001 | ETA 03:07:58 2020-12-17 17:32:44 [INFO] [TRAIN] epoch=26, iter=16690/40000, loss=0.3710, lr=0.006151, batch_cost=0.4761, reader_cost=0.0001 | ETA 03:04:57 2020-12-17 17:32:49 [INFO] [TRAIN] epoch=26, iter=16700/40000, loss=0.3284, lr=0.006149, batch_cost=0.4808, reader_cost=0.0001 | ETA 03:06:43 2020-12-17 17:32:54 [INFO] [TRAIN] epoch=26, iter=16710/40000, loss=0.2660, lr=0.006146, batch_cost=0.4751, reader_cost=0.0001 | ETA 03:04:25 2020-12-17 17:32:59 [INFO] [TRAIN] epoch=26, iter=16720/40000, loss=0.3067, lr=0.006144, batch_cost=0.4837, reader_cost=0.0001 | ETA 03:07:40 2020-12-17 17:33:04 [INFO] [TRAIN] epoch=26, iter=16730/40000, loss=0.2245, lr=0.006142, batch_cost=0.5106, reader_cost=0.0001 | ETA 03:18:01 2020-12-17 17:33:09 [INFO] [TRAIN] epoch=26, iter=16740/40000, loss=0.2566, lr=0.006139, batch_cost=0.5480, reader_cost=0.0001 | ETA 03:32:26 2020-12-17 17:33:15 [INFO] [TRAIN] epoch=26, iter=16750/40000, loss=0.2941, lr=0.006137, batch_cost=0.5170, reader_cost=0.0001 | ETA 03:20:20 2020-12-17 17:33:20 [INFO] [TRAIN] epoch=26, iter=16760/40000, loss=0.3007, lr=0.006134, batch_cost=0.5749, reader_cost=0.0006 | ETA 03:42:39 2020-12-17 17:33:27 [INFO] [TRAIN] epoch=26, iter=16770/40000, loss=0.2661, lr=0.006132, batch_cost=0.6744, reader_cost=0.0004 | ETA 04:21:05 2020-12-17 17:33:33 [INFO] [TRAIN] epoch=26, iter=16780/40000, loss=0.3159, lr=0.006130, batch_cost=0.5929, reader_cost=0.0001 | ETA 03:49:27 2020-12-17 17:33:38 [INFO] [TRAIN] epoch=26, iter=16790/40000, loss=0.2975, lr=0.006127, batch_cost=0.5501, reader_cost=0.0030 | ETA 03:32:47 2020-12-17 17:33:45 [INFO] [TRAIN] epoch=26, iter=16800/40000, loss=0.5387, lr=0.006125, batch_cost=0.6540, reader_cost=0.0001 | ETA 04:12:53 2020-12-17 17:33:51 [INFO] [TRAIN] epoch=26, iter=16810/40000, loss=0.3462, lr=0.006123, batch_cost=0.5892, reader_cost=0.0005 | ETA 03:47:43 2020-12-17 17:33:57 [INFO] [TRAIN] epoch=26, iter=16820/40000, loss=0.2732, lr=0.006120, batch_cost=0.5642, reader_cost=0.0004 | ETA 03:37:58 2020-12-17 17:34:02 [INFO] [TRAIN] epoch=26, iter=16830/40000, loss=0.3429, lr=0.006118, batch_cost=0.5791, reader_cost=0.0004 | ETA 03:43:36 2020-12-17 17:34:08 [INFO] [TRAIN] epoch=26, iter=16840/40000, loss=0.3191, lr=0.006115, batch_cost=0.5275, reader_cost=0.0003 | ETA 03:23:37 2020-12-17 17:34:13 [INFO] [TRAIN] epoch=26, iter=16850/40000, loss=0.3236, lr=0.006113, batch_cost=0.5390, reader_cost=0.0003 | ETA 03:27:58 2020-12-17 17:34:18 [INFO] [TRAIN] epoch=26, iter=16860/40000, loss=0.3895, lr=0.006111, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:29:04 2020-12-17 17:34:24 [INFO] [TRAIN] epoch=26, iter=16870/40000, loss=0.4438, lr=0.006108, batch_cost=0.5393, reader_cost=0.0007 | ETA 03:27:53 2020-12-17 17:34:29 [INFO] [TRAIN] epoch=26, iter=16880/40000, loss=0.4331, lr=0.006106, batch_cost=0.5499, reader_cost=0.0001 | ETA 03:31:53 2020-12-17 17:34:35 [INFO] [TRAIN] epoch=26, iter=16890/40000, loss=0.2342, lr=0.006104, batch_cost=0.5434, reader_cost=0.0001 | ETA 03:29:18 2020-12-17 17:34:40 [INFO] [TRAIN] epoch=26, iter=16900/40000, loss=0.3297, lr=0.006101, batch_cost=0.5234, reader_cost=0.0004 | ETA 03:21:30 2020-12-17 17:34:45 [INFO] [TRAIN] epoch=26, iter=16910/40000, loss=0.2287, lr=0.006099, batch_cost=0.5257, reader_cost=0.0001 | ETA 03:22:17 2020-12-17 17:34:50 [INFO] [TRAIN] epoch=26, iter=16920/40000, loss=0.4043, lr=0.006096, batch_cost=0.5098, reader_cost=0.0001 | ETA 03:16:06 2020-12-17 17:34:56 [INFO] [TRAIN] epoch=26, iter=16930/40000, loss=0.3130, lr=0.006094, batch_cost=0.5219, reader_cost=0.0001 | ETA 03:20:40 2020-12-17 17:35:01 [INFO] [TRAIN] epoch=26, iter=16940/40000, loss=0.3537, lr=0.006092, batch_cost=0.5267, reader_cost=0.0003 | ETA 03:22:26 2020-12-17 17:35:06 [INFO] [TRAIN] epoch=26, iter=16950/40000, loss=0.2676, lr=0.006089, batch_cost=0.5040, reader_cost=0.0001 | ETA 03:13:36 2020-12-17 17:35:11 [INFO] [TRAIN] epoch=26, iter=16960/40000, loss=0.3461, lr=0.006087, batch_cost=0.4966, reader_cost=0.0003 | ETA 03:10:41 2020-12-17 17:35:16 [INFO] [TRAIN] epoch=26, iter=16970/40000, loss=0.1936, lr=0.006085, batch_cost=0.5231, reader_cost=0.0001 | ETA 03:20:45 2020-12-17 17:35:21 [INFO] [TRAIN] epoch=26, iter=16980/40000, loss=0.2577, lr=0.006082, batch_cost=0.5250, reader_cost=0.0001 | ETA 03:21:25 2020-12-17 17:35:26 [INFO] [TRAIN] epoch=26, iter=16990/40000, loss=0.3489, lr=0.006080, batch_cost=0.5150, reader_cost=0.0001 | ETA 03:17:29 2020-12-17 17:35:32 [INFO] [TRAIN] epoch=26, iter=17000/40000, loss=0.4882, lr=0.006077, batch_cost=0.5357, reader_cost=0.0003 | ETA 03:25:21 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 17:35:32 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 17:35:53 [INFO] [EVAL] #Images=1449 mIoU=0.7681 Acc=0.9479 Kappa=0.8838 2020-12-17 17:35:53 [INFO] [EVAL] Class IoU: [0.9406 0.905 0.4282 0.8921 0.6821 0.8233 0.9455 0.8702 0.9169 0.3881 0.8736 0.4479 0.8744 0.8645 0.852 0.8563 0.5936 0.8595 0.4776 0.8882 0.7505] 2020-12-17 17:35:53 [INFO] [EVAL] Class Acc: [0.9615 0.932 0.4504 0.9393 0.7986 0.8999 0.9693 0.947 0.9464 0.714 0.9236 0.9612 0.9277 0.9369 0.9287 0.9269 0.8944 0.9049 0.7798 0.9459 0.9274] 2020-12-17 17:35:57 [INFO] [EVAL] The model with the best validation mIoU (0.7730) was saved at iter 15000. 2020-12-17 17:36:02 [INFO] [TRAIN] epoch=26, iter=17010/40000, loss=0.2529, lr=0.006075, batch_cost=0.4825, reader_cost=0.0001 | ETA 03:04:52 2020-12-17 17:36:07 [INFO] [TRAIN] epoch=26, iter=17020/40000, loss=0.3879, lr=0.006073, batch_cost=0.4987, reader_cost=0.0001 | ETA 03:10:59 2020-12-17 17:36:11 [INFO] [TRAIN] epoch=26, iter=17030/40000, loss=0.2935, lr=0.006070, batch_cost=0.4843, reader_cost=0.0001 | ETA 03:05:25 2020-12-17 17:36:16 [INFO] [TRAIN] epoch=26, iter=17040/40000, loss=0.3911, lr=0.006068, batch_cost=0.4723, reader_cost=0.0001 | ETA 03:00:43 2020-12-17 17:36:21 [INFO] [TRAIN] epoch=26, iter=17050/40000, loss=0.2831, lr=0.006066, batch_cost=0.4916, reader_cost=0.0001 | ETA 03:08:03 2020-12-17 17:36:26 [INFO] [TRAIN] epoch=26, iter=17060/40000, loss=0.4299, lr=0.006063, batch_cost=0.4732, reader_cost=0.0001 | ETA 03:00:55 2020-12-17 17:36:31 [INFO] [TRAIN] epoch=26, iter=17070/40000, loss=0.4925, lr=0.006061, batch_cost=0.4922, reader_cost=0.0001 | ETA 03:08:06 2020-12-17 17:36:36 [INFO] [TRAIN] epoch=26, iter=17080/40000, loss=0.2825, lr=0.006058, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:26:59 2020-12-17 17:36:41 [INFO] [TRAIN] epoch=26, iter=17090/40000, loss=0.2955, lr=0.006056, batch_cost=0.5203, reader_cost=0.0001 | ETA 03:18:40 2020-12-17 17:36:47 [INFO] [TRAIN] epoch=26, iter=17100/40000, loss=0.2176, lr=0.006054, batch_cost=0.5380, reader_cost=0.0005 | ETA 03:25:19 2020-12-17 17:36:52 [INFO] [TRAIN] epoch=26, iter=17110/40000, loss=0.2364, lr=0.006051, batch_cost=0.5648, reader_cost=0.0001 | ETA 03:35:27 2020-12-17 17:36:58 [INFO] [TRAIN] epoch=26, iter=17120/40000, loss=0.3477, lr=0.006049, batch_cost=0.5274, reader_cost=0.0001 | ETA 03:21:07 2020-12-17 17:37:03 [INFO] [TRAIN] epoch=26, iter=17130/40000, loss=0.3604, lr=0.006046, batch_cost=0.5489, reader_cost=0.0003 | ETA 03:29:12 2020-12-17 17:37:09 [INFO] [TRAIN] epoch=26, iter=17140/40000, loss=0.3065, lr=0.006044, batch_cost=0.5594, reader_cost=0.0001 | ETA 03:33:08 2020-12-17 17:37:15 [INFO] [TRAIN] epoch=26, iter=17150/40000, loss=0.2702, lr=0.006042, batch_cost=0.6215, reader_cost=0.0001 | ETA 03:56:40 2020-12-17 17:37:21 [INFO] [TRAIN] epoch=26, iter=17160/40000, loss=0.3270, lr=0.006039, batch_cost=0.6026, reader_cost=0.0001 | ETA 03:49:23 2020-12-17 17:37:27 [INFO] [TRAIN] epoch=26, iter=17170/40000, loss=0.2899, lr=0.006037, batch_cost=0.5507, reader_cost=0.0004 | ETA 03:29:33 2020-12-17 17:37:32 [INFO] [TRAIN] epoch=26, iter=17180/40000, loss=0.2802, lr=0.006035, batch_cost=0.5870, reader_cost=0.0018 | ETA 03:43:14 2020-12-17 17:37:38 [INFO] [TRAIN] epoch=27, iter=17190/40000, loss=0.2876, lr=0.006032, batch_cost=0.5159, reader_cost=0.0293 | ETA 03:16:08 2020-12-17 17:37:43 [INFO] [TRAIN] epoch=27, iter=17200/40000, loss=0.3154, lr=0.006030, batch_cost=0.5663, reader_cost=0.0002 | ETA 03:35:11 2020-12-17 17:37:49 [INFO] [TRAIN] epoch=27, iter=17210/40000, loss=0.2586, lr=0.006027, batch_cost=0.5877, reader_cost=0.0005 | ETA 03:43:13 2020-12-17 17:37:55 [INFO] [TRAIN] epoch=27, iter=17220/40000, loss=0.2820, lr=0.006025, batch_cost=0.5747, reader_cost=0.0083 | ETA 03:38:10 2020-12-17 17:38:01 [INFO] [TRAIN] epoch=27, iter=17230/40000, loss=0.2752, lr=0.006023, batch_cost=0.6026, reader_cost=0.0001 | ETA 03:48:42 2020-12-17 17:38:07 [INFO] [TRAIN] epoch=27, iter=17240/40000, loss=0.2708, lr=0.006020, batch_cost=0.5637, reader_cost=0.0001 | ETA 03:33:50 2020-12-17 17:38:12 [INFO] [TRAIN] epoch=27, iter=17250/40000, loss=0.3875, lr=0.006018, batch_cost=0.5773, reader_cost=0.0001 | ETA 03:38:52 2020-12-17 17:38:18 [INFO] [TRAIN] epoch=27, iter=17260/40000, loss=0.2870, lr=0.006016, batch_cost=0.5590, reader_cost=0.0003 | ETA 03:31:50 2020-12-17 17:38:24 [INFO] [TRAIN] epoch=27, iter=17270/40000, loss=0.2734, lr=0.006013, batch_cost=0.5687, reader_cost=0.0001 | ETA 03:35:27 2020-12-17 17:38:29 [INFO] [TRAIN] epoch=27, iter=17280/40000, loss=0.2664, lr=0.006011, batch_cost=0.5809, reader_cost=0.0001 | ETA 03:39:57 2020-12-17 17:38:35 [INFO] [TRAIN] epoch=27, iter=17290/40000, loss=0.3197, lr=0.006008, batch_cost=0.6042, reader_cost=0.0004 | ETA 03:48:40 2020-12-17 17:38:41 [INFO] [TRAIN] epoch=27, iter=17300/40000, loss=0.3495, lr=0.006006, batch_cost=0.5990, reader_cost=0.0008 | ETA 03:46:37 2020-12-17 17:38:47 [INFO] [TRAIN] epoch=27, iter=17310/40000, loss=0.2473, lr=0.006004, batch_cost=0.5945, reader_cost=0.0001 | ETA 03:44:48 2020-12-17 17:38:54 [INFO] [TRAIN] epoch=27, iter=17320/40000, loss=0.3722, lr=0.006001, batch_cost=0.6103, reader_cost=0.0008 | ETA 03:50:42 2020-12-17 17:39:00 [INFO] [TRAIN] epoch=27, iter=17330/40000, loss=0.2918, lr=0.005999, batch_cost=0.6633, reader_cost=0.0073 | ETA 04:10:35 2020-12-17 17:39:06 [INFO] [TRAIN] epoch=27, iter=17340/40000, loss=0.3229, lr=0.005996, batch_cost=0.5448, reader_cost=0.0004 | ETA 03:25:45 2020-12-17 17:39:11 [INFO] [TRAIN] epoch=27, iter=17350/40000, loss=0.3065, lr=0.005994, batch_cost=0.5367, reader_cost=0.0008 | ETA 03:22:36 2020-12-17 17:39:16 [INFO] [TRAIN] epoch=27, iter=17360/40000, loss=0.3148, lr=0.005992, batch_cost=0.4741, reader_cost=0.0001 | ETA 02:58:53 2020-12-17 17:39:21 [INFO] [TRAIN] epoch=27, iter=17370/40000, loss=0.4109, lr=0.005989, batch_cost=0.4805, reader_cost=0.0001 | ETA 03:01:12 2020-12-17 17:39:25 [INFO] [TRAIN] epoch=27, iter=17380/40000, loss=0.2878, lr=0.005987, batch_cost=0.4938, reader_cost=0.0001 | ETA 03:06:09 2020-12-17 17:39:30 [INFO] [TRAIN] epoch=27, iter=17390/40000, loss=0.3691, lr=0.005985, batch_cost=0.4720, reader_cost=0.0001 | ETA 02:57:51 2020-12-17 17:39:35 [INFO] [TRAIN] epoch=27, iter=17400/40000, loss=0.3369, lr=0.005982, batch_cost=0.4819, reader_cost=0.0001 | ETA 03:01:29 2020-12-17 17:39:40 [INFO] [TRAIN] epoch=27, iter=17410/40000, loss=0.2509, lr=0.005980, batch_cost=0.4733, reader_cost=0.0001 | ETA 02:58:11 2020-12-17 17:39:45 [INFO] [TRAIN] epoch=27, iter=17420/40000, loss=0.2207, lr=0.005977, batch_cost=0.4779, reader_cost=0.0001 | ETA 02:59:51 2020-12-17 17:39:49 [INFO] [TRAIN] epoch=27, iter=17430/40000, loss=0.2575, lr=0.005975, batch_cost=0.4858, reader_cost=0.0001 | ETA 03:02:45 2020-12-17 17:39:54 [INFO] [TRAIN] epoch=27, iter=17440/40000, loss=0.3591, lr=0.005973, batch_cost=0.4737, reader_cost=0.0001 | ETA 02:58:06 2020-12-17 17:39:59 [INFO] [TRAIN] epoch=27, iter=17450/40000, loss=0.3289, lr=0.005970, batch_cost=0.4716, reader_cost=0.0001 | ETA 02:57:14 2020-12-17 17:40:04 [INFO] [TRAIN] epoch=27, iter=17460/40000, loss=0.3649, lr=0.005968, batch_cost=0.5116, reader_cost=0.0001 | ETA 03:12:11 2020-12-17 17:40:09 [INFO] [TRAIN] epoch=27, iter=17470/40000, loss=0.2591, lr=0.005966, batch_cost=0.5109, reader_cost=0.0001 | ETA 03:11:51 2020-12-17 17:40:14 [INFO] [TRAIN] epoch=27, iter=17480/40000, loss=0.2639, lr=0.005963, batch_cost=0.4837, reader_cost=0.0001 | ETA 03:01:32 2020-12-17 17:40:19 [INFO] [TRAIN] epoch=27, iter=17490/40000, loss=0.2639, lr=0.005961, batch_cost=0.4970, reader_cost=0.0001 | ETA 03:06:27 2020-12-17 17:40:24 [INFO] [TRAIN] epoch=27, iter=17500/40000, loss=0.3378, lr=0.005958, batch_cost=0.4873, reader_cost=0.0001 | ETA 03:02:43 2020-12-17 17:40:29 [INFO] [TRAIN] epoch=27, iter=17510/40000, loss=0.2843, lr=0.005956, batch_cost=0.4995, reader_cost=0.0001 | ETA 03:07:13 2020-12-17 17:40:34 [INFO] [TRAIN] epoch=27, iter=17520/40000, loss=0.2616, lr=0.005954, batch_cost=0.4914, reader_cost=0.0001 | ETA 03:04:06 2020-12-17 17:40:38 [INFO] [TRAIN] epoch=27, iter=17530/40000, loss=0.2316, lr=0.005951, batch_cost=0.4718, reader_cost=0.0001 | ETA 02:56:42 2020-12-17 17:40:43 [INFO] [TRAIN] epoch=27, iter=17540/40000, loss=0.3791, lr=0.005949, batch_cost=0.4776, reader_cost=0.0001 | ETA 02:58:46 2020-12-17 17:40:48 [INFO] [TRAIN] epoch=27, iter=17550/40000, loss=0.3218, lr=0.005946, batch_cost=0.5216, reader_cost=0.0001 | ETA 03:15:09 2020-12-17 17:40:53 [INFO] [TRAIN] epoch=27, iter=17560/40000, loss=0.4286, lr=0.005944, batch_cost=0.5080, reader_cost=0.0001 | ETA 03:09:58 2020-12-17 17:40:58 [INFO] [TRAIN] epoch=27, iter=17570/40000, loss=0.2737, lr=0.005942, batch_cost=0.5019, reader_cost=0.0001 | ETA 03:07:37 2020-12-17 17:41:04 [INFO] [TRAIN] epoch=27, iter=17580/40000, loss=0.2768, lr=0.005939, batch_cost=0.5094, reader_cost=0.0001 | ETA 03:10:20 2020-12-17 17:41:08 [INFO] [TRAIN] epoch=27, iter=17590/40000, loss=0.3170, lr=0.005937, batch_cost=0.4732, reader_cost=0.0001 | ETA 02:56:43 2020-12-17 17:41:13 [INFO] [TRAIN] epoch=27, iter=17600/40000, loss=0.3944, lr=0.005935, batch_cost=0.4864, reader_cost=0.0001 | ETA 03:01:35 2020-12-17 17:41:18 [INFO] [TRAIN] epoch=27, iter=17610/40000, loss=0.2234, lr=0.005932, batch_cost=0.4677, reader_cost=0.0003 | ETA 02:54:32 2020-12-17 17:41:23 [INFO] [TRAIN] epoch=27, iter=17620/40000, loss=0.2714, lr=0.005930, batch_cost=0.4759, reader_cost=0.0001 | ETA 02:57:30 2020-12-17 17:41:27 [INFO] [TRAIN] epoch=27, iter=17630/40000, loss=0.2750, lr=0.005927, batch_cost=0.4640, reader_cost=0.0001 | ETA 02:52:58 2020-12-17 17:41:32 [INFO] [TRAIN] epoch=27, iter=17640/40000, loss=0.3236, lr=0.005925, batch_cost=0.4732, reader_cost=0.0001 | ETA 02:56:21 2020-12-17 17:41:37 [INFO] [TRAIN] epoch=27, iter=17650/40000, loss=0.3175, lr=0.005923, batch_cost=0.4851, reader_cost=0.0001 | ETA 03:00:41 2020-12-17 17:41:43 [INFO] [TRAIN] epoch=27, iter=17660/40000, loss=0.2868, lr=0.005920, batch_cost=0.6518, reader_cost=0.0006 | ETA 04:02:40 2020-12-17 17:41:50 [INFO] [TRAIN] epoch=27, iter=17670/40000, loss=0.2191, lr=0.005918, batch_cost=0.6366, reader_cost=0.0002 | ETA 03:56:55 2020-12-17 17:41:56 [INFO] [TRAIN] epoch=27, iter=17680/40000, loss=0.2279, lr=0.005915, batch_cost=0.5998, reader_cost=0.0009 | ETA 03:43:06 2020-12-17 17:42:02 [INFO] [TRAIN] epoch=27, iter=17690/40000, loss=0.2592, lr=0.005913, batch_cost=0.6464, reader_cost=0.0001 | ETA 04:00:21 2020-12-17 17:42:09 [INFO] [TRAIN] epoch=27, iter=17700/40000, loss=0.2220, lr=0.005911, batch_cost=0.6593, reader_cost=0.0001 | ETA 04:05:02 2020-12-17 17:42:15 [INFO] [TRAIN] epoch=27, iter=17710/40000, loss=0.2537, lr=0.005908, batch_cost=0.6538, reader_cost=0.0015 | ETA 04:02:53 2020-12-17 17:42:21 [INFO] [TRAIN] epoch=27, iter=17720/40000, loss=0.2938, lr=0.005906, batch_cost=0.6167, reader_cost=0.0001 | ETA 03:48:59 2020-12-17 17:42:28 [INFO] [TRAIN] epoch=27, iter=17730/40000, loss=0.3311, lr=0.005904, batch_cost=0.6072, reader_cost=0.0001 | ETA 03:45:23 2020-12-17 17:42:34 [INFO] [TRAIN] epoch=27, iter=17740/40000, loss=0.3740, lr=0.005901, batch_cost=0.6525, reader_cost=0.0002 | ETA 04:02:05 2020-12-17 17:42:40 [INFO] [TRAIN] epoch=27, iter=17750/40000, loss=0.2913, lr=0.005899, batch_cost=0.5930, reader_cost=0.0001 | ETA 03:39:53 2020-12-17 17:42:47 [INFO] [TRAIN] epoch=27, iter=17760/40000, loss=0.2974, lr=0.005896, batch_cost=0.6632, reader_cost=0.0001 | ETA 04:05:48 2020-12-17 17:42:53 [INFO] [TRAIN] epoch=27, iter=17770/40000, loss=0.2217, lr=0.005894, batch_cost=0.6421, reader_cost=0.0013 | ETA 03:57:54 2020-12-17 17:42:58 [INFO] [TRAIN] epoch=27, iter=17780/40000, loss=0.3352, lr=0.005892, batch_cost=0.4847, reader_cost=0.0001 | ETA 02:59:30 2020-12-17 17:43:03 [INFO] [TRAIN] epoch=27, iter=17790/40000, loss=0.3296, lr=0.005889, batch_cost=0.5340, reader_cost=0.0002 | ETA 03:17:39 2020-12-17 17:43:08 [INFO] [TRAIN] epoch=27, iter=17800/40000, loss=0.2516, lr=0.005887, batch_cost=0.4696, reader_cost=0.0001 | ETA 02:53:45 2020-12-17 17:43:13 [INFO] [TRAIN] epoch=27, iter=17810/40000, loss=0.3253, lr=0.005884, batch_cost=0.4830, reader_cost=0.0001 | ETA 02:58:38 2020-12-17 17:43:18 [INFO] [TRAIN] epoch=27, iter=17820/40000, loss=0.2940, lr=0.005882, batch_cost=0.4794, reader_cost=0.0003 | ETA 02:57:14 2020-12-17 17:43:22 [INFO] [TRAIN] epoch=27, iter=17830/40000, loss=0.3720, lr=0.005880, batch_cost=0.4709, reader_cost=0.0001 | ETA 02:53:59 2020-12-17 17:43:27 [INFO] [TRAIN] epoch=27, iter=17840/40000, loss=0.3267, lr=0.005877, batch_cost=0.5122, reader_cost=0.0001 | ETA 03:09:10 2020-12-17 17:43:32 [INFO] [TRAIN] epoch=28, iter=17850/40000, loss=0.2827, lr=0.005875, batch_cost=0.4702, reader_cost=0.0274 | ETA 02:53:35 2020-12-17 17:43:37 [INFO] [TRAIN] epoch=28, iter=17860/40000, loss=0.1863, lr=0.005873, batch_cost=0.4884, reader_cost=0.0001 | ETA 03:00:12 2020-12-17 17:43:42 [INFO] [TRAIN] epoch=28, iter=17870/40000, loss=0.3049, lr=0.005870, batch_cost=0.4847, reader_cost=0.0001 | ETA 02:58:46 2020-12-17 17:43:47 [INFO] [TRAIN] epoch=28, iter=17880/40000, loss=0.3070, lr=0.005868, batch_cost=0.4804, reader_cost=0.0001 | ETA 02:57:06 2020-12-17 17:43:51 [INFO] [TRAIN] epoch=28, iter=17890/40000, loss=0.2991, lr=0.005865, batch_cost=0.4835, reader_cost=0.0001 | ETA 02:58:09 2020-12-17 17:43:56 [INFO] [TRAIN] epoch=28, iter=17900/40000, loss=0.2748, lr=0.005863, batch_cost=0.4753, reader_cost=0.0001 | ETA 02:55:05 2020-12-17 17:44:01 [INFO] [TRAIN] epoch=28, iter=17910/40000, loss=0.3408, lr=0.005861, batch_cost=0.4730, reader_cost=0.0001 | ETA 02:54:08 2020-12-17 17:44:06 [INFO] [TRAIN] epoch=28, iter=17920/40000, loss=0.2356, lr=0.005858, batch_cost=0.5196, reader_cost=0.0001 | ETA 03:11:13 2020-12-17 17:44:11 [INFO] [TRAIN] epoch=28, iter=17930/40000, loss=0.2881, lr=0.005856, batch_cost=0.4830, reader_cost=0.0001 | ETA 02:57:39 2020-12-17 17:44:16 [INFO] [TRAIN] epoch=28, iter=17940/40000, loss=0.2189, lr=0.005853, batch_cost=0.4842, reader_cost=0.0001 | ETA 02:58:00 2020-12-17 17:44:20 [INFO] [TRAIN] epoch=28, iter=17950/40000, loss=0.2603, lr=0.005851, batch_cost=0.4641, reader_cost=0.0001 | ETA 02:50:32 2020-12-17 17:44:25 [INFO] [TRAIN] epoch=28, iter=17960/40000, loss=0.1964, lr=0.005849, batch_cost=0.4979, reader_cost=0.0001 | ETA 03:02:54 2020-12-17 17:44:30 [INFO] [TRAIN] epoch=28, iter=17970/40000, loss=0.3455, lr=0.005846, batch_cost=0.4778, reader_cost=0.0001 | ETA 02:55:25 2020-12-17 17:44:35 [INFO] [TRAIN] epoch=28, iter=17980/40000, loss=0.2946, lr=0.005844, batch_cost=0.4955, reader_cost=0.0004 | ETA 03:01:51 2020-12-17 17:44:40 [INFO] [TRAIN] epoch=28, iter=17990/40000, loss=0.2380, lr=0.005841, batch_cost=0.4929, reader_cost=0.0001 | ETA 03:00:49 2020-12-17 17:44:45 [INFO] [TRAIN] epoch=28, iter=18000/40000, loss=0.2583, lr=0.005839, batch_cost=0.4750, reader_cost=0.0003 | ETA 02:54:08 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 17:44:45 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 17:45:04 [INFO] [EVAL] #Images=1449 mIoU=0.7649 Acc=0.9469 Kappa=0.8817 2020-12-17 17:45:04 [INFO] [EVAL] Class IoU: [0.9401 0.9031 0.4274 0.9022 0.6437 0.8423 0.933 0.8721 0.9275 0.392 0.8478 0.4862 0.8807 0.8836 0.8539 0.8623 0.6112 0.8003 0.4877 0.796 0.7705] 2020-12-17 17:45:04 [INFO] [EVAL] Class Acc: [0.9624 0.947 0.445 0.9448 0.7003 0.9244 0.9645 0.9392 0.9542 0.6886 0.935 0.9158 0.936 0.9352 0.9315 0.9236 0.821 0.8918 0.7573 0.9711 0.91 ] 2020-12-17 17:45:08 [INFO] [EVAL] The model with the best validation mIoU (0.7730) was saved at iter 15000. 2020-12-17 17:45:13 [INFO] [TRAIN] epoch=28, iter=18010/40000, loss=0.4704, lr=0.005837, batch_cost=0.4767, reader_cost=0.0001 | ETA 02:54:41 2020-12-17 17:45:18 [INFO] [TRAIN] epoch=28, iter=18020/40000, loss=0.2594, lr=0.005834, batch_cost=0.4765, reader_cost=0.0001 | ETA 02:54:32 2020-12-17 17:45:23 [INFO] [TRAIN] epoch=28, iter=18030/40000, loss=0.2351, lr=0.005832, batch_cost=0.4878, reader_cost=0.0001 | ETA 02:58:37 2020-12-17 17:45:28 [INFO] [TRAIN] epoch=28, iter=18040/40000, loss=0.3127, lr=0.005830, batch_cost=0.5521, reader_cost=0.0001 | ETA 03:22:05 2020-12-17 17:45:35 [INFO] [TRAIN] epoch=28, iter=18050/40000, loss=0.2130, lr=0.005827, batch_cost=0.6647, reader_cost=0.0003 | ETA 04:03:10 2020-12-17 17:45:42 [INFO] [TRAIN] epoch=28, iter=18060/40000, loss=0.3281, lr=0.005825, batch_cost=0.6958, reader_cost=0.0001 | ETA 04:14:26 2020-12-17 17:45:49 [INFO] [TRAIN] epoch=28, iter=18070/40000, loss=0.3266, lr=0.005822, batch_cost=0.7200, reader_cost=0.0004 | ETA 04:23:09 2020-12-17 17:45:56 [INFO] [TRAIN] epoch=28, iter=18080/40000, loss=0.2252, lr=0.005820, batch_cost=0.6970, reader_cost=0.0001 | ETA 04:14:37 2020-12-17 17:46:04 [INFO] [TRAIN] epoch=28, iter=18090/40000, loss=0.2692, lr=0.005818, batch_cost=0.7469, reader_cost=0.0041 | ETA 04:32:43 2020-12-17 17:46:11 [INFO] [TRAIN] epoch=28, iter=18100/40000, loss=0.2710, lr=0.005815, batch_cost=0.7350, reader_cost=0.0045 | ETA 04:28:16 2020-12-17 17:46:18 [INFO] [TRAIN] epoch=28, iter=18110/40000, loss=0.2259, lr=0.005813, batch_cost=0.6655, reader_cost=0.0001 | ETA 04:02:47 2020-12-17 17:46:25 [INFO] [TRAIN] epoch=28, iter=18120/40000, loss=0.3119, lr=0.005810, batch_cost=0.7021, reader_cost=0.0046 | ETA 04:16:02 2020-12-17 17:46:32 [INFO] [TRAIN] epoch=28, iter=18130/40000, loss=0.2979, lr=0.005808, batch_cost=0.7325, reader_cost=0.0004 | ETA 04:26:59 2020-12-17 17:46:39 [INFO] [TRAIN] epoch=28, iter=18140/40000, loss=0.2465, lr=0.005806, batch_cost=0.6859, reader_cost=0.0094 | ETA 04:09:52 2020-12-17 17:46:46 [INFO] [TRAIN] epoch=28, iter=18150/40000, loss=0.3023, lr=0.005803, batch_cost=0.6826, reader_cost=0.0004 | ETA 04:08:35 2020-12-17 17:46:53 [INFO] [TRAIN] epoch=28, iter=18160/40000, loss=0.2654, lr=0.005801, batch_cost=0.7073, reader_cost=0.0055 | ETA 04:17:27 2020-12-17 17:46:59 [INFO] [TRAIN] epoch=28, iter=18170/40000, loss=0.2855, lr=0.005798, batch_cost=0.6095, reader_cost=0.0004 | ETA 03:41:45 2020-12-17 17:47:06 [INFO] [TRAIN] epoch=28, iter=18180/40000, loss=0.5166, lr=0.005796, batch_cost=0.6732, reader_cost=0.0007 | ETA 04:04:49 2020-12-17 17:47:13 [INFO] [TRAIN] epoch=28, iter=18190/40000, loss=0.3468, lr=0.005794, batch_cost=0.6948, reader_cost=0.0001 | ETA 04:12:32 2020-12-17 17:47:19 [INFO] [TRAIN] epoch=28, iter=18200/40000, loss=0.2599, lr=0.005791, batch_cost=0.6509, reader_cost=0.0004 | ETA 03:56:29 2020-12-17 17:47:26 [INFO] [TRAIN] epoch=28, iter=18210/40000, loss=0.3595, lr=0.005789, batch_cost=0.6818, reader_cost=0.0002 | ETA 04:07:37 2020-12-17 17:47:33 [INFO] [TRAIN] epoch=28, iter=18220/40000, loss=0.1962, lr=0.005787, batch_cost=0.6744, reader_cost=0.0001 | ETA 04:04:49 2020-12-17 17:47:39 [INFO] [TRAIN] epoch=28, iter=18230/40000, loss=0.3443, lr=0.005784, batch_cost=0.6495, reader_cost=0.0004 | ETA 03:55:39 2020-12-17 17:47:46 [INFO] [TRAIN] epoch=28, iter=18240/40000, loss=0.3345, lr=0.005782, batch_cost=0.6844, reader_cost=0.0001 | ETA 04:08:11 2020-12-17 17:47:53 [INFO] [TRAIN] epoch=28, iter=18250/40000, loss=0.2507, lr=0.005779, batch_cost=0.6680, reader_cost=0.0021 | ETA 04:02:08 2020-12-17 17:47:59 [INFO] [TRAIN] epoch=28, iter=18260/40000, loss=0.4090, lr=0.005777, batch_cost=0.6423, reader_cost=0.0008 | ETA 03:52:42 2020-12-17 17:48:06 [INFO] [TRAIN] epoch=28, iter=18270/40000, loss=0.3215, lr=0.005775, batch_cost=0.6533, reader_cost=0.0001 | ETA 03:56:37 2020-12-17 17:48:12 [INFO] [TRAIN] epoch=28, iter=18280/40000, loss=0.2416, lr=0.005772, batch_cost=0.6361, reader_cost=0.0001 | ETA 03:50:17 2020-12-17 17:48:18 [INFO] [TRAIN] epoch=28, iter=18290/40000, loss=0.2965, lr=0.005770, batch_cost=0.6192, reader_cost=0.0005 | ETA 03:44:02 2020-12-17 17:48:25 [INFO] [TRAIN] epoch=28, iter=18300/40000, loss=0.3431, lr=0.005767, batch_cost=0.6275, reader_cost=0.0001 | ETA 03:46:56 2020-12-17 17:48:29 [INFO] [TRAIN] epoch=28, iter=18310/40000, loss=0.3629, lr=0.005765, batch_cost=0.4875, reader_cost=0.0001 | ETA 02:56:14 2020-12-17 17:48:35 [INFO] [TRAIN] epoch=28, iter=18320/40000, loss=0.2563, lr=0.005763, batch_cost=0.5195, reader_cost=0.0001 | ETA 03:07:43 2020-12-17 17:48:40 [INFO] [TRAIN] epoch=28, iter=18330/40000, loss=0.3479, lr=0.005760, batch_cost=0.4993, reader_cost=0.0001 | ETA 03:00:20 2020-12-17 17:48:45 [INFO] [TRAIN] epoch=28, iter=18340/40000, loss=0.2654, lr=0.005758, batch_cost=0.5010, reader_cost=0.0001 | ETA 03:00:51 2020-12-17 17:48:50 [INFO] [TRAIN] epoch=28, iter=18350/40000, loss=0.3129, lr=0.005755, batch_cost=0.5574, reader_cost=0.0001 | ETA 03:21:07 2020-12-17 17:48:57 [INFO] [TRAIN] epoch=28, iter=18360/40000, loss=0.3644, lr=0.005753, batch_cost=0.6490, reader_cost=0.0004 | ETA 03:54:05 2020-12-17 17:49:03 [INFO] [TRAIN] epoch=28, iter=18370/40000, loss=0.3591, lr=0.005751, batch_cost=0.6563, reader_cost=0.0004 | ETA 03:56:35 2020-12-17 17:49:10 [INFO] [TRAIN] epoch=28, iter=18380/40000, loss=0.3413, lr=0.005748, batch_cost=0.6442, reader_cost=0.0001 | ETA 03:52:08 2020-12-17 17:49:15 [INFO] [TRAIN] epoch=28, iter=18390/40000, loss=0.2718, lr=0.005746, batch_cost=0.4982, reader_cost=0.0001 | ETA 02:59:25 2020-12-17 17:49:21 [INFO] [TRAIN] epoch=28, iter=18400/40000, loss=0.3137, lr=0.005743, batch_cost=0.6173, reader_cost=0.0004 | ETA 03:42:13 2020-12-17 17:49:27 [INFO] [TRAIN] epoch=28, iter=18410/40000, loss=0.3096, lr=0.005741, batch_cost=0.6450, reader_cost=0.0001 | ETA 03:52:05 2020-12-17 17:49:34 [INFO] [TRAIN] epoch=28, iter=18420/40000, loss=0.3073, lr=0.005739, batch_cost=0.7093, reader_cost=0.0001 | ETA 04:15:07 2020-12-17 17:49:41 [INFO] [TRAIN] epoch=28, iter=18430/40000, loss=0.2735, lr=0.005736, batch_cost=0.6752, reader_cost=0.0002 | ETA 04:02:44 2020-12-17 17:49:48 [INFO] [TRAIN] epoch=28, iter=18440/40000, loss=0.3343, lr=0.005734, batch_cost=0.6591, reader_cost=0.0004 | ETA 03:56:50 2020-12-17 17:49:54 [INFO] [TRAIN] epoch=28, iter=18450/40000, loss=0.3291, lr=0.005731, batch_cost=0.6508, reader_cost=0.0001 | ETA 03:53:44 2020-12-17 17:50:01 [INFO] [TRAIN] epoch=28, iter=18460/40000, loss=0.2211, lr=0.005729, batch_cost=0.7005, reader_cost=0.0005 | ETA 04:11:28 2020-12-17 17:50:08 [INFO] [TRAIN] epoch=28, iter=18470/40000, loss=0.2762, lr=0.005727, batch_cost=0.7038, reader_cost=0.0001 | ETA 04:12:33 2020-12-17 17:50:15 [INFO] [TRAIN] epoch=28, iter=18480/40000, loss=0.2556, lr=0.005724, batch_cost=0.7027, reader_cost=0.0013 | ETA 04:12:02 2020-12-17 17:50:22 [INFO] [TRAIN] epoch=28, iter=18490/40000, loss=0.3853, lr=0.005722, batch_cost=0.6862, reader_cost=0.0001 | ETA 04:06:00 2020-12-17 17:50:29 [INFO] [TRAIN] epoch=28, iter=18500/40000, loss=0.2249, lr=0.005720, batch_cost=0.6533, reader_cost=0.0001 | ETA 03:54:05 2020-12-17 17:50:35 [INFO] [TRAIN] epoch=29, iter=18510/40000, loss=0.3620, lr=0.005717, batch_cost=0.5894, reader_cost=0.0356 | ETA 03:31:06 2020-12-17 17:50:42 [INFO] [TRAIN] epoch=29, iter=18520/40000, loss=0.2557, lr=0.005715, batch_cost=0.7635, reader_cost=0.0004 | ETA 04:33:19 2020-12-17 17:50:48 [INFO] [TRAIN] epoch=29, iter=18530/40000, loss=0.2885, lr=0.005712, batch_cost=0.6074, reader_cost=0.0001 | ETA 03:37:21 2020-12-17 17:50:55 [INFO] [TRAIN] epoch=29, iter=18540/40000, loss=0.2723, lr=0.005710, batch_cost=0.6412, reader_cost=0.0054 | ETA 03:49:20 2020-12-17 17:51:01 [INFO] [TRAIN] epoch=29, iter=18550/40000, loss=0.3880, lr=0.005708, batch_cost=0.6572, reader_cost=0.0001 | ETA 03:54:56 2020-12-17 17:51:08 [INFO] [TRAIN] epoch=29, iter=18560/40000, loss=0.2904, lr=0.005705, batch_cost=0.6364, reader_cost=0.0001 | ETA 03:47:25 2020-12-17 17:51:14 [INFO] [TRAIN] epoch=29, iter=18570/40000, loss=0.3484, lr=0.005703, batch_cost=0.6423, reader_cost=0.0001 | ETA 03:49:23 2020-12-17 17:51:21 [INFO] [TRAIN] epoch=29, iter=18580/40000, loss=0.2785, lr=0.005700, batch_cost=0.6703, reader_cost=0.0001 | ETA 03:59:18 2020-12-17 17:51:27 [INFO] [TRAIN] epoch=29, iter=18590/40000, loss=0.2753, lr=0.005698, batch_cost=0.6496, reader_cost=0.0006 | ETA 03:51:47 2020-12-17 17:51:34 [INFO] [TRAIN] epoch=29, iter=18600/40000, loss=0.3011, lr=0.005696, batch_cost=0.6388, reader_cost=0.0057 | ETA 03:47:49 2020-12-17 17:51:41 [INFO] [TRAIN] epoch=29, iter=18610/40000, loss=0.3032, lr=0.005693, batch_cost=0.6702, reader_cost=0.0034 | ETA 03:58:54 2020-12-17 17:51:47 [INFO] [TRAIN] epoch=29, iter=18620/40000, loss=0.3279, lr=0.005691, batch_cost=0.6200, reader_cost=0.0004 | ETA 03:40:56 2020-12-17 17:51:53 [INFO] [TRAIN] epoch=29, iter=18630/40000, loss=0.2383, lr=0.005688, batch_cost=0.6026, reader_cost=0.0001 | ETA 03:34:38 2020-12-17 17:51:59 [INFO] [TRAIN] epoch=29, iter=18640/40000, loss=0.2335, lr=0.005686, batch_cost=0.6201, reader_cost=0.0001 | ETA 03:40:44 2020-12-17 17:52:05 [INFO] [TRAIN] epoch=29, iter=18650/40000, loss=0.3733, lr=0.005684, batch_cost=0.6055, reader_cost=0.0003 | ETA 03:35:27 2020-12-17 17:52:11 [INFO] [TRAIN] epoch=29, iter=18660/40000, loss=0.3544, lr=0.005681, batch_cost=0.6225, reader_cost=0.0004 | ETA 03:41:23 2020-12-17 17:52:17 [INFO] [TRAIN] epoch=29, iter=18670/40000, loss=0.2310, lr=0.005679, batch_cost=0.6219, reader_cost=0.0001 | ETA 03:41:05 2020-12-17 17:52:24 [INFO] [TRAIN] epoch=29, iter=18680/40000, loss=0.2572, lr=0.005676, batch_cost=0.6479, reader_cost=0.0007 | ETA 03:50:13 2020-12-17 17:52:29 [INFO] [TRAIN] epoch=29, iter=18690/40000, loss=0.2615, lr=0.005674, batch_cost=0.5406, reader_cost=0.0001 | ETA 03:11:59 2020-12-17 17:52:35 [INFO] [TRAIN] epoch=29, iter=18700/40000, loss=0.3624, lr=0.005672, batch_cost=0.5604, reader_cost=0.0005 | ETA 03:18:55 2020-12-17 17:52:41 [INFO] [TRAIN] epoch=29, iter=18710/40000, loss=0.3055, lr=0.005669, batch_cost=0.5911, reader_cost=0.0001 | ETA 03:29:45 2020-12-17 17:52:46 [INFO] [TRAIN] epoch=29, iter=18720/40000, loss=0.2916, lr=0.005667, batch_cost=0.4832, reader_cost=0.0001 | ETA 02:51:21 2020-12-17 17:52:50 [INFO] [TRAIN] epoch=29, iter=18730/40000, loss=0.3218, lr=0.005664, batch_cost=0.4715, reader_cost=0.0001 | ETA 02:47:08 2020-12-17 17:52:55 [INFO] [TRAIN] epoch=29, iter=18740/40000, loss=0.2609, lr=0.005662, batch_cost=0.4793, reader_cost=0.0001 | ETA 02:49:49 2020-12-17 17:53:00 [INFO] [TRAIN] epoch=29, iter=18750/40000, loss=0.2490, lr=0.005660, batch_cost=0.4832, reader_cost=0.0001 | ETA 02:51:08 2020-12-17 17:53:05 [INFO] [TRAIN] epoch=29, iter=18760/40000, loss=0.2867, lr=0.005657, batch_cost=0.4856, reader_cost=0.0001 | ETA 02:51:55 2020-12-17 17:53:11 [INFO] [TRAIN] epoch=29, iter=18770/40000, loss=0.2780, lr=0.005655, batch_cost=0.5748, reader_cost=0.0001 | ETA 03:23:21 2020-12-17 17:53:17 [INFO] [TRAIN] epoch=29, iter=18780/40000, loss=0.3003, lr=0.005652, batch_cost=0.6306, reader_cost=0.0014 | ETA 03:43:01 2020-12-17 17:53:23 [INFO] [TRAIN] epoch=29, iter=18790/40000, loss=0.1973, lr=0.005650, batch_cost=0.6282, reader_cost=0.0001 | ETA 03:42:04 2020-12-17 17:53:29 [INFO] [TRAIN] epoch=29, iter=18800/40000, loss=0.3513, lr=0.005648, batch_cost=0.6262, reader_cost=0.0011 | ETA 03:41:15 2020-12-17 17:53:36 [INFO] [TRAIN] epoch=29, iter=18810/40000, loss=0.3221, lr=0.005645, batch_cost=0.6156, reader_cost=0.0018 | ETA 03:37:25 2020-12-17 17:53:42 [INFO] [TRAIN] epoch=29, iter=18820/40000, loss=0.3000, lr=0.005643, batch_cost=0.5979, reader_cost=0.0070 | ETA 03:31:02 2020-12-17 17:53:48 [INFO] [TRAIN] epoch=29, iter=18830/40000, loss=0.3268, lr=0.005640, batch_cost=0.6616, reader_cost=0.0001 | ETA 03:53:26 2020-12-17 17:53:55 [INFO] [TRAIN] epoch=29, iter=18840/40000, loss=0.3334, lr=0.005638, batch_cost=0.6373, reader_cost=0.0001 | ETA 03:44:46 2020-12-17 17:54:01 [INFO] [TRAIN] epoch=29, iter=18850/40000, loss=0.3386, lr=0.005636, batch_cost=0.6170, reader_cost=0.0083 | ETA 03:37:30 2020-12-17 17:54:07 [INFO] [TRAIN] epoch=29, iter=18860/40000, loss=0.2977, lr=0.005633, batch_cost=0.6607, reader_cost=0.0005 | ETA 03:52:47 2020-12-17 17:54:14 [INFO] [TRAIN] epoch=29, iter=18870/40000, loss=0.2776, lr=0.005631, batch_cost=0.6666, reader_cost=0.0003 | ETA 03:54:44 2020-12-17 17:54:21 [INFO] [TRAIN] epoch=29, iter=18880/40000, loss=0.2883, lr=0.005628, batch_cost=0.7030, reader_cost=0.0068 | ETA 04:07:26 2020-12-17 17:54:27 [INFO] [TRAIN] epoch=29, iter=18890/40000, loss=0.2371, lr=0.005626, batch_cost=0.6267, reader_cost=0.0001 | ETA 03:40:29 2020-12-17 17:54:34 [INFO] [TRAIN] epoch=29, iter=18900/40000, loss=0.3328, lr=0.005624, batch_cost=0.6151, reader_cost=0.0001 | ETA 03:36:19 2020-12-17 17:54:40 [INFO] [TRAIN] epoch=29, iter=18910/40000, loss=0.2828, lr=0.005621, batch_cost=0.6239, reader_cost=0.0001 | ETA 03:39:18 2020-12-17 17:54:46 [INFO] [TRAIN] epoch=29, iter=18920/40000, loss=0.2678, lr=0.005619, batch_cost=0.6314, reader_cost=0.0001 | ETA 03:41:50 2020-12-17 17:54:52 [INFO] [TRAIN] epoch=29, iter=18930/40000, loss=0.2645, lr=0.005616, batch_cost=0.6403, reader_cost=0.0001 | ETA 03:44:50 2020-12-17 17:54:59 [INFO] [TRAIN] epoch=29, iter=18940/40000, loss=0.2314, lr=0.005614, batch_cost=0.6238, reader_cost=0.0004 | ETA 03:38:58 2020-12-17 17:55:05 [INFO] [TRAIN] epoch=29, iter=18950/40000, loss=0.3022, lr=0.005612, batch_cost=0.6549, reader_cost=0.0004 | ETA 03:49:44 2020-12-17 17:55:12 [INFO] [TRAIN] epoch=29, iter=18960/40000, loss=0.2843, lr=0.005609, batch_cost=0.6966, reader_cost=0.0005 | ETA 04:04:16 2020-12-17 17:55:19 [INFO] [TRAIN] epoch=29, iter=18970/40000, loss=0.2645, lr=0.005607, batch_cost=0.6931, reader_cost=0.0001 | ETA 04:02:54 2020-12-17 17:55:26 [INFO] [TRAIN] epoch=29, iter=18980/40000, loss=0.2722, lr=0.005604, batch_cost=0.6739, reader_cost=0.0002 | ETA 03:56:04 2020-12-17 17:55:32 [INFO] [TRAIN] epoch=29, iter=18990/40000, loss=0.3554, lr=0.005602, batch_cost=0.6289, reader_cost=0.0005 | ETA 03:40:13 2020-12-17 17:55:39 [INFO] [TRAIN] epoch=29, iter=19000/40000, loss=0.3760, lr=0.005600, batch_cost=0.6483, reader_cost=0.0001 | ETA 03:46:53 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False 2020-12-17 17:55:39 [INFO] Start evaluating (total_samples=1449, total_iters=363)... scales 1.0 2020-12-17 17:55:58 [INFO] [EVAL] #Images=1449 mIoU=0.7704 Acc=0.9476 Kappa=0.8834 2020-12-17 17:55:58 [INFO] [EVAL] Class IoU: [0.9417 0.8797 0.4209 0.8855 0.7331 0.8186 0.9368 0.8594 0.9383 0.4058 0.8304 0.6215 0.8811 0.887 0.8459 0.8524 0.6281 0.7904 0.4192 0.856 0.7467] 2020-12-17 17:55:58 [INFO] [EVAL] Class Acc: [0.9632 0.9135 0.4362 0.9454 0.8362 0.907 0.9739 0.9068 0.9646 0.5482 0.9226 0.9298 0.9221 0.9318 0.9275 0.9531 0.852 0.8857 0.797 0.9697 0.9098] 2020-12-17 17:56:02 [INFO] [EVAL] The model with the best validation mIoU (0.7730) was saved at iter 15000. 2020-12-17 17:56:07 [INFO] [TRAIN] epoch=29, iter=19010/40000, loss=0.3491, lr=0.005597, batch_cost=0.4977, reader_cost=0.0001 | ETA 02:54:06 2020-12-17 17:56:14 [INFO] [TRAIN] epoch=29, iter=19020/40000, loss=0.2888, lr=0.005595, batch_cost=0.6435, reader_cost=0.0004 | ETA 03:44:59 2020-12-17 17:56:20 [INFO] [TRAIN] epoch=29, iter=19030/40000, loss=0.2824, lr=0.005592, batch_cost=0.6288, reader_cost=0.0038 | ETA 03:39:46 2020-12-17 17:56:26 [INFO] [TRAIN] epoch=29, iter=19040/40000, loss=0.2681, lr=0.005590, batch_cost=0.6110, reader_cost=0.0004 | ETA 03:33:25 2020-12-17 17:56:33 [INFO] [TRAIN] epoch=29, iter=19050/40000, loss=0.2171, lr=0.005588, batch_cost=0.6527, reader_cost=0.0004 | ETA 03:47:54 2020-12-17 17:56:38 [INFO] [TRAIN] epoch=29, iter=19060/40000, loss=0.3275, lr=0.005585, batch_cost=0.5842, reader_cost=0.0001 | ETA 03:23:54 2020-12-17 17:56:43 [INFO] [TRAIN] epoch=29, iter=19070/40000, loss=0.2591, lr=0.005583, batch_cost=0.4992, reader_cost=0.0001 | ETA 02:54:07 2020-12-17 17:56:50 [INFO] [TRAIN] epoch=29, iter=19080/40000, loss=0.3783, lr=0.005580, batch_cost=0.6553, reader_cost=0.0001 | ETA 03:48:29 2020-12-17 17:56:56 [INFO] [TRAIN] epoch=29, iter=19090/40000, loss=0.3714, lr=0.005578, batch_cost=0.5797, reader_cost=0.0001 | ETA 03:22:02 2020-12-17 17:57:02 [INFO] [TRAIN] epoch=29, iter=19100/40000, loss=0.3005, lr=0.005576, batch_cost=0.5994, reader_cost=0.0041 | ETA 03:28:48 2020-12-17 17:57:08 [INFO] [TRAIN] epoch=29, iter=19110/40000, loss=0.2719, lr=0.005573, batch_cost=0.6547, reader_cost=0.0001 | ETA 03:47:56 2020-12-17 17:57:15 [INFO] [TRAIN] epoch=29, iter=19120/40000, loss=0.3072, lr=0.005571, batch_cost=0.6676, reader_cost=0.0011 | ETA 03:52:20 2020-12-17 17:57:22 [INFO] [TRAIN] epoch=29, iter=19130/40000, loss=0.3449, lr=0.005568, batch_cost=0.7028, reader_cost=0.0004 | ETA 04:04:27 2020-12-17 17:57:29 [INFO] [TRAIN] epoch=29, iter=19140/40000, loss=0.2996, lr=0.005566, batch_cost=0.6712, reader_cost=0.0001 | ETA 03:53:20 2020-12-17 17:57:36 [INFO] [TRAIN] epoch=29, iter=19150/40000, loss=0.4250, lr=0.005564, batch_cost=0.6980, reader_cost=0.0022 | ETA 04:02:34 2020-12-17 17:57:42 [INFO] [TRAIN] epoch=29, iter=19160/40000, loss=0.2382, lr=0.005561, batch_cost=0.6542, reader_cost=0.0005 | ETA 03:47:13 2020-12-17 17:57:48 [INFO] [TRAIN] epoch=30, iter=19170/40000, loss=0.3440, lr=0.005559, batch_cost=0.5752, reader_cost=0.0343 | ETA 03:19:41 2020-12-17 17:57:55 [INFO] [TRAIN] epoch=30, iter=19180/40000, loss=0.3318, lr=0.005556, batch_cost=0.6702, reader_cost=0.0009 | ETA 03:52:33 2020-12-17 17:58:02 [INFO] [TRAIN] epoch=30, iter=19190/40000, loss=0.2497, lr=0.005554, batch_cost=0.6691, reader_cost=0.0001 | ETA 03:52:04 2020-12-17 17:58:08 [INFO] [TRAIN] epoch=30, iter=19200/40000, loss=0.2040, lr=0.005552, batch_cost=0.6371, reader_cost=0.0001 | ETA 03:40:51 2020-12-17 17:58:14 [INFO] [TRAIN] epoch=30, iter=19210/40000, loss=0.2192, lr=0.005549, batch_cost=0.6554, reader_cost=0.0001 | ETA 03:47:05 2020-12-17 17:58:21 [INFO] [TRAIN] epoch=30, iter=19220/40000, loss=0.2458, lr=0.005547, batch_cost=0.6476, reader_cost=0.0005 | ETA 03:44:16 2020-12-17 17:58:27 [INFO] [TRAIN] epoch=30, iter=19230/40000, loss=0.3513, lr=0.005544, batch_cost=0.6388, reader_cost=0.0005 | ETA 03:41:08 2020-12-17 17:58:34 [INFO] [TRAIN] epoch=30, iter=19240/40000, loss=0.3063, lr=0.005542, batch_cost=0.6568, reader_cost=0.0086 | ETA 03:47:14 2020-12-17 17:58:40 [INFO] [TRAIN] epoch=30, iter=19250/40000, loss=0.2743, lr=0.005540, batch_cost=0.6279, reader_cost=0.0012 | ETA 03:37:08 2020-12-17 17:58:47 [INFO] [TRAIN] epoch=30, iter=19260/40000, loss=0.3006, lr=0.005537, batch_cost=0.6495, reader_cost=0.0001 | ETA 03:44:31 2020-12-17 17:58:54 [INFO] [TRAIN] epoch=30, iter=19270/40000, loss=0.3955, lr=0.005535, batch_cost=0.7572, reader_cost=0.0001 | ETA 04:21:36 2020-12-17 17:59:00 [INFO] [TRAIN] epoch=30, iter=19280/40000, loss=0.2127, lr=0.005532, batch_cost=0.5916, reader_cost=0.0001 | ETA 03:24:17 2020-12-17 17:59:06 [INFO] [TRAIN] epoch=30, iter=19290/40000, loss=0.2105, lr=0.005530, batch_cost=0.6312, reader_cost=0.0001 | ETA 03:37:51 2020-12-17 17:59:13 [INFO] [TRAIN] epoch=30, iter=19300/40000, loss=0.2529, lr=0.005528, batch_cost=0.6342, reader_cost=0.0059 | ETA 03:38:47 2020-12-17 17:59:19 [INFO] [TRAIN] epoch=30, iter=19310/40000, loss=0.2837, lr=0.005525, batch_cost=0.5875, reader_cost=0.0001 | ETA 03:22:35 2020-12-17 17:59:25 [INFO] [TRAIN] epoch=30, iter=19320/40000, loss=0.3411, lr=0.005523, batch_cost=0.6177, reader_cost=0.0001 | ETA 03:32:54 2020-12-17 17:59:31 [INFO] [TRAIN] epoch=30, iter=19330/40000, loss=0.2548, lr=0.005520, batch_cost=0.6306, reader_cost=0.0004 | ETA 03:37:13 2020-12-17 17:59:37 [INFO] [TRAIN] epoch=30, iter=19340/40000, loss=0.2807, lr=0.005518, batch_cost=0.6320, reader_cost=0.0004 | ETA 03:37:36 2020-12-17 17:59:42 [INFO] [TRAIN] epoch=30, iter=19350/40000, loss=0.2639, lr=0.005516, batch_cost=0.4898, reader_cost=0.0001 | ETA 02:48:34 2020-12-17 17:59:48 [INFO] [TRAIN] epoch=30, iter=19360/40000, loss=0.2652, lr=0.005513, batch_cost=0.6051, reader_cost=0.0001 | ETA 03:28:08 2020-12-17 17:59:55 [INFO] [TRAIN] epoch=30, iter=19370/40000, loss=0.2548, lr=0.005511, batch_cost=0.6287, reader_cost=0.0013 | ETA 03:36:10 2020-12-17 18:00:01 [INFO] [TRAIN] epoch=30, iter=19380/40000, loss=0.2456, lr=0.005508, batch_cost=0.6438, reader_cost=0.0056 | ETA 03:41:15 2020-12-17 18:00:06 [INFO] [TRAIN] epoch=30, iter=19390/40000, loss=0.2455, lr=0.005506, batch_cost=0.4773, reader_cost=0.0001 | ETA 02:43:56 2020-12-17 18:00:11 [INFO] [TRAIN] epoch=30, iter=19400/40000, loss=0.3196, lr=0.005504, batch_cost=0.4825, reader_cost=0.0001 | ETA 02:45:40 2020-12-17 18:00:15 [INFO] [TRAIN] epoch=30, iter=19410/40000, loss=0.2593, lr=0.005501, batch_cost=0.4564, reader_cost=0.0001 | ETA 02:36:37 2020-12-17 18:00:20 [INFO] [TRAIN] epoch=30, iter=19420/40000, loss=0.2621, lr=0.005499, batch_cost=0.4769, reader_cost=0.0001 | ETA 02:43:34 2020-12-17 18:00:25 [INFO] [TRAIN] epoch=30, iter=19430/40000, loss=0.3021, lr=0.005496, batch_cost=0.4809, reader_cost=0.0001 | ETA 02:44:53 2020-12-17 18:00:30 [INFO] [TRAIN] epoch=30, iter=19440/40000, loss=0.2942, lr=0.005494, batch_cost=0.4841, reader_cost=0.0001 | ETA 02:45:52 2020-12-17 18:00:36 [INFO] [TRAIN] epoch=30, iter=19450/40000, loss=0.2845, lr=0.005492, batch_cost=0.6351, reader_cost=0.0001 | ETA 03:37:30 2020-12-17 18:00:42 [INFO] [TRAIN] epoch=30, iter=19460/40000, loss=0.3069, lr=0.005489, batch_cost=0.5838, reader_cost=0.0001 | ETA 03:19:52 2020-12-17 18:00:49 [INFO] [TRAIN] epoch=30, iter=19470/40000, loss=0.2433, lr=0.005487, batch_cost=0.6850, reader_cost=0.0001 | ETA 03:54:23 2020-12-17 18:00:55 [INFO] [TRAIN] epoch=30, iter=19480/40000, loss=0.2134, lr=0.005484, batch_cost=0.5986, reader_cost=0.0001 | ETA 03:24:43 2020-12-17 18:01:01 [INFO] [TRAIN] epoch=30, iter=19490/40000, loss=0.2708, lr=0.005482, batch_cost=0.6329, reader_cost=0.0005 | ETA 03:36:21 2020-12-17 18:01:08 [INFO] [TRAIN] epoch=30, iter=19500/40000, loss=0.2837, lr=0.005480, batch_cost=0.6518, reader_cost=0.0001 | ETA 03:42:41 2020-12-17 18:01:14 [INFO] [TRAIN] epoch=30, iter=19510/40000, loss=0.3760, lr=0.005477, batch_cost=0.6385, reader_cost=0.0001 | ETA 03:38:03 2020-12-17 18:01:20 [INFO] [TRAIN] epoch=30, iter=19520/40000, loss=0.2506, lr=0.005475, batch_cost=0.6193, reader_cost=0.0001 | ETA 03:31:23 2020-12-17 18:01:27 [INFO] [TRAIN] epoch=30, iter=19530/40000, loss=0.2780, lr=0.005472, batch_cost=0.6579, reader_cost=0.0001 | ETA 03:44:27 2020-12-17 18:01:33 [INFO] [TRAIN] epoch=30, iter=19540/40000, loss=0.3093, lr=0.005470, batch_cost=0.6195, reader_cost=0.0001 | ETA 03:31:15 2020-12-17 18:01:40 [INFO] [TRAIN] epoch=30, iter=19550/40000, loss=0.2711, lr=0.005468, batch_cost=0.6754, reader_cost=0.0001 | ETA 03:50:12 2020-12-17 18:01:46 [INFO] [TRAIN] epoch=30, iter=19560/40000, loss=0.3272, lr=0.005465, batch_cost=0.5959, reader_cost=0.0009 | ETA 03:23:00 2020-12-17 18:01:52 [INFO] [TRAIN] epoch=30, iter=19570/40000, loss=0.2980, lr=0.005463, batch_cost=0.6182, reader_cost=0.0001 | ETA 03:30:29 2020-12-17 18:01:58 [INFO] [TRAIN] epoch=30, iter=19580/40000, loss=0.2275, lr=0.005460, batch_cost=0.6150, reader_cost=0.0001 | ETA 03:29:17 2020-12-17 18:02:04 [INFO] [TRAIN] epoch=30, iter=19590/40000, loss=0.2335, lr=0.005458, batch_cost=0.5999, reader_cost=0.0001 | ETA 03:24:03 2020-12-17 18:02:11 [INFO] [TRAIN] epoch=30, iter=19600/40000, loss=0.2803, lr=0.005455, batch_cost=0.6620, reader_cost=0.0063 | ETA 03:45:04 2020-12-17 18:02:17 [INFO] [TRAIN] epoch=30, iter=19610/40000, loss=0.3171, lr=0.005453, batch_cost=0.5943, reader_cost=0.0009 | ETA 03:21:58 2020-12-17 18:02:23 [INFO] [TRAIN] epoch=30, iter=19620/40000, loss=0.4538, lr=0.005451, batch_cost=0.6763, reader_cost=0.0001 | ETA 03:49:42 2020-12-17 18:02:30 [INFO] [TRAIN] epoch=30, iter=19630/40000, loss=0.4583, lr=0.005448, batch_cost=0.6393, reader_cost=0.0001 | ETA 03:37:02 2020-12-17 18:02:37 [INFO] [TRAIN] epoch=30, iter=19640/40000, loss=0.2644, lr=0.005446, batch_cost=0.7258, reader_cost=0.0001 | ETA 04:06:17 2020-12-17 18:02:43 [INFO] [TRAIN] epoch=30, iter=19650/40000, loss=0.2226, lr=0.005443, batch_cost=0.6079, reader_cost=0.0064 | ETA 03:26:11 2020-12-17 18:02:50 [INFO] [TRAIN] epoch=30, iter=19660/40000, loss=0.3352, lr=0.005441, batch_cost=0.6624, reader_cost=0.0026 | ETA 03:44:32 2020-12-17 18:02:56 [INFO] [TRAIN] epoch=30, iter=19670/40000, loss=0.2525, lr=0.005439, batch_cost=0.5897, reader_cost=0.0001 | ETA 03:19:47 2020-12-17 18:03:01 [INFO] [TRAIN] epoch=30, iter=19680/40000, loss=0.2689, lr=0.005436, batch_cost=0.5618, reader_cost=0.0001 | ETA 03:10:14 2020-12-17 18:03:06 [INFO] [TRAIN] epoch=30, iter=19690/40000, loss=0.3539, lr=0.005434, batch_cost=0.4739, reader_cost=0.0001 | ETA 02:40:25 2020-12-17 18:03:11 [INFO] [TRAIN] epoch=30, iter=19700/40000, loss=0.2881, lr=0.005431, batch_cost=0.4676, reader_cost=0.0001 | ETA 02:38:11 2020-12-17 18:03:15 [INFO] [TRAIN] epoch=30, iter=19710/40000, loss=0.3231, lr=0.005429, batch_cost=0.4842, reader_cost=0.0001 | ETA 02:43:43 2020-12-17 18:03:20 [INFO] [TRAIN] epoch=30, iter=19720/40000, loss=0.3424, lr=0.005427, batch_cost=0.4669, reader_cost=0.0001 | ETA 02:37:49 2020-12-17 18:03:25 [INFO] [TRAIN] epoch=30, iter=19730/40000, loss=0.3270, lr=0.005424, batch_cost=0.4881, reader_cost=0.0001 | ETA 02:44:53 2020-12-17 18:03:31 [INFO] [TRAIN] epoch=30, iter=19740/40000, loss=0.3466, lr=0.005422, batch_cost=0.6050, reader_cost=0.0001 | ETA 03:24:18 2020-12-17 18:03:37 [INFO] [TRAIN] epoch=30, iter=19750/40000, loss=0.3423, lr=0.005419, batch_cost=0.6158, reader_cost=0.0001 | ETA 03:27:50 2020-12-17 18:03:44 [INFO] [TRAIN] epoch=30, iter=19760/40000, loss=0.2555, lr=0.005417, batch_cost=0.6780, reader_cost=0.0006 | ETA 03:48:42 2020-12-17 18:03:50 [INFO] [TRAIN] epoch=30, iter=19770/40000, loss=0.2610, lr=0.005415, batch_cost=0.6139, reader_cost=0.0001 | ETA 03:26:59 2020-12-17 18:03:56 [INFO] [TRAIN] epoch=30, iter=19780/40000, loss=0.2471, lr=0.005412, batch_cost=0.6267, reader_cost=0.0005 | ETA 03:31:10 2020-12-17 18:04:03 [INFO] [TRAIN] epoch=30, iter=19790/40000, loss=0.2818, lr=0.005410, batch_cost=0.6154, reader_cost=0.0001 | ETA 03:27:17 2020-12-17 18:04:08 [INFO] [TRAIN] epoch=30, iter=19800/40000, loss=0.2069, lr=0.005407, batch_cost=0.5173, reader_cost=0.0001 | ETA 02:54:09 2020-12-17 18:04:14 [INFO] [TRAIN] epoch=30, iter=19810/40000, loss=0.3616, lr=0.005405, batch_cost=0.6171, reader_cost=0.0007 | ETA 03:27:38 2020-12-17 18:04:20 [INFO] [TRAIN] epoch=30, iter=19820/40000, loss=0.3381, lr=0.005402, batch_cost=0.6269, reader_cost=0.0003 | ETA 03:30:50 2020-12-17 18:04:26 [INFO] [TRAIN] epoch=30, iter=19830/40000, loss=0.2232, lr=0.005400, batch_cost=0.5350, reader_cost=0.0001 | ETA 02:59:50 2020-12-17 18:04:32 [INFO] [TRAIN] epoch=31, iter=19840/40000, loss=0.3484, lr=0.005398, batch_cost=0.6564, reader_cost=0.0318 | ETA 03:40:33 2020-12-17 18:04:39 [INFO] [TRAIN] epoch=31, iter=19850/40000, loss=0.2526, lr=0.005395, batch_cost=0.6567, reader_cost=0.0001 | ETA 03:40:32 2020-12-17 18:04:46 [INFO] [TRAIN] epoch=31, iter=19860/40000, loss=0.2897, lr=0.005393, batch_cost=0.6961, reader_cost=0.0001 | ETA 03:53:39 2020-12-17 18:04:53 [INFO] [TRAIN] epoch=31, iter=19870/40000, loss=0.2570, lr=0.005390, batch_cost=0.6878, reader_cost=0.0005 | ETA 03:50:46 2020-12-17 18:04:59 [INFO] [TRAIN] epoch=31, iter=19880/40000, loss=0.3632, lr=0.005388, batch_cost=0.6375, reader_cost=0.0004 | ETA 03:33:45 2020-12-17 18:05:05 [INFO] [TRAIN] epoch=31, iter=19890/40000, loss=0.2430, lr=0.005386, batch_cost=0.6250, reader_cost=0.0033 | ETA 03:29:29 2020-12-17 18:05:11 [INFO] [TRAIN] epoch=31, iter=19900/40000, loss=0.3230, lr=0.005383, batch_cost=0.6192, reader_cost=0.0001 | ETA 03:27:26 2020-12-17 18:05:18 [INFO] [TRAIN] epoch=31, iter=19910/40000, loss=0.2031, lr=0.005381, batch_cost=0.6256, reader_cost=0.0072 | ETA 03:29:28 2020-12-17 18:05:24 [INFO] [TRAIN] epoch=31, iter=19920/40000, loss=0.2941, lr=0.005378, batch_cost=0.6604, reader_cost=0.0004 | ETA 03:41:01 2020-12-17 18:05:31 [INFO] [TRAIN] epoch=31, iter=19930/40000, loss=0.3949, lr=0.005376, batch_cost=0.7114, reader_cost=0.0001 | ETA 03:57:58 2020-12-17 18:05:38 [INFO] [TRAIN] epoch=31, iter=19940/40000, loss=0.2856, lr=0.005374, batch_cost=0.6793, reader_cost=0.0001 | ETA 03:47:06 2020-12-17 18:05:45 [INFO] [TRAIN] epoch=31, iter=19950/40000, loss=0.2617, lr=0.005371, batch_cost=0.6814, reader_cost=0.0088 | ETA 03:47:41 2020-12-17 18:05:52 [INFO] [TRAIN] epoch=31, iter=19960/40000, loss=0.2586, lr=0.005369, batch_cost=0.6619, reader_cost=0.0013 | ETA 03:41:03 2020-12-17 18:05:58 [INFO] [TRAIN] epoch=31, iter=19970/40000, loss=0.2875, lr=0.005366, batch_cost=0.6639, reader_cost=0.0001 | ETA 03:41:37 2020-12-17 18:06:05 [INFO] [TRAIN] epoch=31, iter=19980/40000, loss=0.3799, lr=0.005364, batch_cost=0.6585, reader_cost=0.0057 | ETA 03:39:42 2020-12-17 18:06:11 [INFO] [TRAIN] epoch=31, iter=19990/40000, loss=0.2063, lr=0.005362, batch_cost=0.6419, reader_cost=0.0001 | ETA 03:34:04 2020-12-17 18:06:18 [INFO] [TRAIN] epoch=31, iter=20000/40000, loss=0.3201, lr=0.005359, batch_cost=0.6371, reader_cost=0.0001 | ETA 03:32:21 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 18:06:18 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 18:06:44 [INFO] [EVAL] #Images=1449 mIoU=0.7747 Acc=0.9491 Kappa=0.8864 2020-12-17 18:06:44 [INFO] [EVAL] Class IoU: [0.9436 0.8755 0.429 0.8863 0.6887 0.8278 0.9487 0.8859 0.9326 0.3933 0.8966 0.5448 0.8907 0.8935 0.8571 0.8554 0.5629 0.8736 0.405 0.907 0.7707] 2020-12-17 18:06:44 [INFO] [EVAL] Class Acc: [0.9627 0.9219 0.4417 0.9561 0.7801 0.9392 0.9778 0.9437 0.9734 0.5048 0.9574 0.9404 0.9358 0.9522 0.9464 0.9547 0.8955 0.932 0.8035 0.9599 0.9267] 2020-12-17 18:06:50 [INFO] [EVAL] The model with the best validation mIoU (0.7747) was saved at iter 20000. 2020-12-17 18:06:56 [INFO] [TRAIN] epoch=31, iter=20010/40000, loss=0.2922, lr=0.005357, batch_cost=0.6226, reader_cost=0.0004 | ETA 03:27:26 2020-12-17 18:07:02 [INFO] [TRAIN] epoch=31, iter=20020/40000, loss=0.3964, lr=0.005354, batch_cost=0.6163, reader_cost=0.0004 | ETA 03:25:14 2020-12-17 18:07:08 [INFO] [TRAIN] epoch=31, iter=20030/40000, loss=0.2694, lr=0.005352, batch_cost=0.5091, reader_cost=0.0001 | ETA 02:49:27 2020-12-17 18:07:14 [INFO] [TRAIN] epoch=31, iter=20040/40000, loss=0.2130, lr=0.005349, batch_cost=0.6252, reader_cost=0.0007 | ETA 03:27:59 2020-12-17 18:07:20 [INFO] [TRAIN] epoch=31, iter=20050/40000, loss=0.3510, lr=0.005347, batch_cost=0.6396, reader_cost=0.0004 | ETA 03:32:39 2020-12-17 18:07:27 [INFO] [TRAIN] epoch=31, iter=20060/40000, loss=0.3348, lr=0.005345, batch_cost=0.6432, reader_cost=0.0001 | ETA 03:33:44 2020-12-17 18:07:33 [INFO] [TRAIN] epoch=31, iter=20070/40000, loss=0.2131, lr=0.005342, batch_cost=0.5938, reader_cost=0.0007 | ETA 03:17:15 2020-12-17 18:07:37 [INFO] [TRAIN] epoch=31, iter=20080/40000, loss=0.3128, lr=0.005340, batch_cost=0.4836, reader_cost=0.0001 | ETA 02:40:32 2020-12-17 18:07:42 [INFO] [TRAIN] epoch=31, iter=20090/40000, loss=0.2403, lr=0.005337, batch_cost=0.4886, reader_cost=0.0001 | ETA 02:42:07 2020-12-17 18:07:47 [INFO] [TRAIN] epoch=31, iter=20100/40000, loss=0.4243, lr=0.005335, batch_cost=0.4764, reader_cost=0.0001 | ETA 02:37:59 2020-12-17 18:07:52 [INFO] [TRAIN] epoch=31, iter=20110/40000, loss=0.4395, lr=0.005333, batch_cost=0.4888, reader_cost=0.0001 | ETA 02:42:01 2020-12-17 18:07:57 [INFO] [TRAIN] epoch=31, iter=20120/40000, loss=0.2573, lr=0.005330, batch_cost=0.4852, reader_cost=0.0001 | ETA 02:40:45 2020-12-17 18:08:03 [INFO] [TRAIN] epoch=31, iter=20130/40000, loss=0.2675, lr=0.005328, batch_cost=0.6082, reader_cost=0.0001 | ETA 03:21:25 2020-12-17 18:08:09 [INFO] [TRAIN] epoch=31, iter=20140/40000, loss=0.1711, lr=0.005325, batch_cost=0.6622, reader_cost=0.0016 | ETA 03:39:12 2020-12-17 18:08:16 [INFO] [TRAIN] epoch=31, iter=20150/40000, loss=0.3350, lr=0.005323, batch_cost=0.6406, reader_cost=0.0121 | ETA 03:31:55 2020-12-17 18:08:23 [INFO] [TRAIN] epoch=31, iter=20160/40000, loss=0.2975, lr=0.005321, batch_cost=0.6667, reader_cost=0.0001 | ETA 03:40:26 2020-12-17 18:08:29 [INFO] [TRAIN] epoch=31, iter=20170/40000, loss=0.3078, lr=0.005318, batch_cost=0.6489, reader_cost=0.0004 | ETA 03:34:27 2020-12-17 18:08:35 [INFO] [TRAIN] epoch=31, iter=20180/40000, loss=0.2636, lr=0.005316, batch_cost=0.6366, reader_cost=0.0009 | ETA 03:30:16 2020-12-17 18:08:42 [INFO] [TRAIN] epoch=31, iter=20190/40000, loss=0.2451, lr=0.005313, batch_cost=0.6872, reader_cost=0.0114 | ETA 03:46:53 2020-12-17 18:08:49 [INFO] [TRAIN] epoch=31, iter=20200/40000, loss=0.2132, lr=0.005311, batch_cost=0.7060, reader_cost=0.0031 | ETA 03:52:59 2020-12-17 18:08:56 [INFO] [TRAIN] epoch=31, iter=20210/40000, loss=0.3937, lr=0.005308, batch_cost=0.7129, reader_cost=0.0001 | ETA 03:55:08 2020-12-17 18:09:03 [INFO] [TRAIN] epoch=31, iter=20220/40000, loss=0.2549, lr=0.005306, batch_cost=0.6391, reader_cost=0.0001 | ETA 03:30:40 2020-12-17 18:09:10 [INFO] [TRAIN] epoch=31, iter=20230/40000, loss=0.3095, lr=0.005304, batch_cost=0.7199, reader_cost=0.0081 | ETA 03:57:13 2020-12-17 18:09:17 [INFO] [TRAIN] epoch=31, iter=20240/40000, loss=0.2229, lr=0.005301, batch_cost=0.6582, reader_cost=0.0001 | ETA 03:36:45 2020-12-17 18:09:23 [INFO] [TRAIN] epoch=31, iter=20250/40000, loss=0.2681, lr=0.005299, batch_cost=0.6206, reader_cost=0.0001 | ETA 03:24:17 2020-12-17 18:09:30 [INFO] [TRAIN] epoch=31, iter=20260/40000, loss=0.2533, lr=0.005296, batch_cost=0.6703, reader_cost=0.0014 | ETA 03:40:30 2020-12-17 18:09:36 [INFO] [TRAIN] epoch=31, iter=20270/40000, loss=0.3168, lr=0.005294, batch_cost=0.6283, reader_cost=0.0004 | ETA 03:26:35 2020-12-17 18:09:42 [INFO] [TRAIN] epoch=31, iter=20280/40000, loss=0.2083, lr=0.005292, batch_cost=0.6451, reader_cost=0.0005 | ETA 03:32:00 2020-12-17 18:09:49 [INFO] [TRAIN] epoch=31, iter=20290/40000, loss=0.2028, lr=0.005289, batch_cost=0.6469, reader_cost=0.0001 | ETA 03:32:30 2020-12-17 18:09:56 [INFO] [TRAIN] epoch=31, iter=20300/40000, loss=0.3068, lr=0.005287, batch_cost=0.6803, reader_cost=0.0001 | ETA 03:43:22 2020-12-17 18:10:02 [INFO] [TRAIN] epoch=31, iter=20310/40000, loss=0.2797, lr=0.005284, batch_cost=0.6427, reader_cost=0.0002 | ETA 03:30:55 2020-12-17 18:10:09 [INFO] [TRAIN] epoch=31, iter=20320/40000, loss=0.2711, lr=0.005282, batch_cost=0.7370, reader_cost=0.0008 | ETA 04:01:43 2020-12-17 18:10:17 [INFO] [TRAIN] epoch=31, iter=20330/40000, loss=0.2674, lr=0.005279, batch_cost=0.7407, reader_cost=0.0001 | ETA 04:02:49 2020-12-17 18:10:23 [INFO] [TRAIN] epoch=31, iter=20340/40000, loss=0.3435, lr=0.005277, batch_cost=0.6390, reader_cost=0.0001 | ETA 03:29:21 2020-12-17 18:10:28 [INFO] [TRAIN] epoch=31, iter=20350/40000, loss=0.2777, lr=0.005275, batch_cost=0.5161, reader_cost=0.0004 | ETA 02:49:00 2020-12-17 18:10:33 [INFO] [TRAIN] epoch=31, iter=20360/40000, loss=0.2122, lr=0.005272, batch_cost=0.4749, reader_cost=0.0001 | ETA 02:35:26 2020-12-17 18:10:38 [INFO] [TRAIN] epoch=31, iter=20370/40000, loss=0.2538, lr=0.005270, batch_cost=0.4721, reader_cost=0.0001 | ETA 02:34:26 2020-12-17 18:10:43 [INFO] [TRAIN] epoch=31, iter=20380/40000, loss=0.2502, lr=0.005267, batch_cost=0.4788, reader_cost=0.0001 | ETA 02:36:33 2020-12-17 18:10:47 [INFO] [TRAIN] epoch=31, iter=20390/40000, loss=0.2212, lr=0.005265, batch_cost=0.4800, reader_cost=0.0001 | ETA 02:36:53 2020-12-17 18:10:53 [INFO] [TRAIN] epoch=31, iter=20400/40000, loss=0.3137, lr=0.005263, batch_cost=0.5822, reader_cost=0.0091 | ETA 03:10:11 2020-12-17 18:11:00 [INFO] [TRAIN] epoch=31, iter=20410/40000, loss=0.4528, lr=0.005260, batch_cost=0.6731, reader_cost=0.0001 | ETA 03:39:46 2020-12-17 18:11:07 [INFO] [TRAIN] epoch=31, iter=20420/40000, loss=0.1988, lr=0.005258, batch_cost=0.6819, reader_cost=0.0001 | ETA 03:42:32 2020-12-17 18:11:13 [INFO] [TRAIN] epoch=31, iter=20430/40000, loss=0.2937, lr=0.005255, batch_cost=0.6108, reader_cost=0.0005 | ETA 03:19:12 2020-12-17 18:11:19 [INFO] [TRAIN] epoch=31, iter=20440/40000, loss=0.3013, lr=0.005253, batch_cost=0.6527, reader_cost=0.0016 | ETA 03:32:46 2020-12-17 18:11:26 [INFO] [TRAIN] epoch=31, iter=20450/40000, loss=0.3065, lr=0.005250, batch_cost=0.6295, reader_cost=0.0004 | ETA 03:25:07 2020-12-17 18:11:32 [INFO] [TRAIN] epoch=31, iter=20460/40000, loss=0.2332, lr=0.005248, batch_cost=0.6695, reader_cost=0.0054 | ETA 03:38:01 2020-12-17 18:11:39 [INFO] [TRAIN] epoch=31, iter=20470/40000, loss=0.2594, lr=0.005246, batch_cost=0.6195, reader_cost=0.0001 | ETA 03:21:39 2020-12-17 18:11:44 [INFO] [TRAIN] epoch=31, iter=20480/40000, loss=0.2757, lr=0.005243, batch_cost=0.5223, reader_cost=0.0001 | ETA 02:49:55 2020-12-17 18:11:49 [INFO] [TRAIN] epoch=31, iter=20490/40000, loss=0.3044, lr=0.005241, batch_cost=0.5206, reader_cost=0.0001 | ETA 02:49:16 2020-12-17 18:11:56 [INFO] [TRAIN] epoch=32, iter=20500/40000, loss=0.2877, lr=0.005238, batch_cost=0.6735, reader_cost=0.0370 | ETA 03:38:53 2020-12-17 18:12:02 [INFO] [TRAIN] epoch=32, iter=20510/40000, loss=0.2247, lr=0.005236, batch_cost=0.6328, reader_cost=0.0001 | ETA 03:25:33 2020-12-17 18:12:09 [INFO] [TRAIN] epoch=32, iter=20520/40000, loss=0.2070, lr=0.005234, batch_cost=0.6653, reader_cost=0.0001 | ETA 03:35:59 2020-12-17 18:12:16 [INFO] [TRAIN] epoch=32, iter=20530/40000, loss=0.2669, lr=0.005231, batch_cost=0.6891, reader_cost=0.0001 | ETA 03:43:37 2020-12-17 18:12:23 [INFO] [TRAIN] epoch=32, iter=20540/40000, loss=0.3068, lr=0.005229, batch_cost=0.7007, reader_cost=0.0083 | ETA 03:47:16 2020-12-17 18:12:30 [INFO] [TRAIN] epoch=32, iter=20550/40000, loss=0.2211, lr=0.005226, batch_cost=0.7559, reader_cost=0.0162 | ETA 04:05:01 2020-12-17 18:12:38 [INFO] [TRAIN] epoch=32, iter=20560/40000, loss=0.2463, lr=0.005224, batch_cost=0.7739, reader_cost=0.0020 | ETA 04:10:45 2020-12-17 18:12:46 [INFO] [TRAIN] epoch=32, iter=20570/40000, loss=0.2970, lr=0.005221, batch_cost=0.7879, reader_cost=0.0064 | ETA 04:15:08 2020-12-17 18:12:54 [INFO] [TRAIN] epoch=32, iter=20580/40000, loss=0.3161, lr=0.005219, batch_cost=0.8081, reader_cost=0.0006 | ETA 04:21:32 2020-12-17 18:13:02 [INFO] [TRAIN] epoch=32, iter=20590/40000, loss=0.2934, lr=0.005217, batch_cost=0.7828, reader_cost=0.0042 | ETA 04:13:13 2020-12-17 18:13:09 [INFO] [TRAIN] epoch=32, iter=20600/40000, loss=0.2605, lr=0.005214, batch_cost=0.6921, reader_cost=0.0001 | ETA 03:43:45 2020-12-17 18:13:16 [INFO] [TRAIN] epoch=32, iter=20610/40000, loss=0.2002, lr=0.005212, batch_cost=0.6906, reader_cost=0.0001 | ETA 03:43:10 2020-12-17 18:13:22 [INFO] [TRAIN] epoch=32, iter=20620/40000, loss=0.3059, lr=0.005209, batch_cost=0.6925, reader_cost=0.0063 | ETA 03:43:41 2020-12-17 18:13:29 [INFO] [TRAIN] epoch=32, iter=20630/40000, loss=0.2581, lr=0.005207, batch_cost=0.6813, reader_cost=0.0001 | ETA 03:39:56 2020-12-17 18:13:36 [INFO] [TRAIN] epoch=32, iter=20640/40000, loss=0.3621, lr=0.005205, batch_cost=0.6935, reader_cost=0.0005 | ETA 03:43:45 2020-12-17 18:13:43 [INFO] [TRAIN] epoch=32, iter=20650/40000, loss=0.2681, lr=0.005202, batch_cost=0.7188, reader_cost=0.0001 | ETA 03:51:48 2020-12-17 18:13:51 [INFO] [TRAIN] epoch=32, iter=20660/40000, loss=0.2249, lr=0.005200, batch_cost=0.7087, reader_cost=0.0077 | ETA 03:48:26 2020-12-17 18:13:57 [INFO] [TRAIN] epoch=32, iter=20670/40000, loss=0.2580, lr=0.005197, batch_cost=0.6930, reader_cost=0.0004 | ETA 03:43:15 2020-12-17 18:14:04 [INFO] [TRAIN] epoch=32, iter=20680/40000, loss=0.3324, lr=0.005195, batch_cost=0.6324, reader_cost=0.0005 | ETA 03:23:38 2020-12-17 18:14:11 [INFO] [TRAIN] epoch=32, iter=20690/40000, loss=0.2446, lr=0.005192, batch_cost=0.7260, reader_cost=0.0005 | ETA 03:53:39 2020-12-17 18:14:18 [INFO] [TRAIN] epoch=32, iter=20700/40000, loss=0.3600, lr=0.005190, batch_cost=0.6655, reader_cost=0.0001 | ETA 03:34:04 2020-12-17 18:14:25 [INFO] [TRAIN] epoch=32, iter=20710/40000, loss=0.2674, lr=0.005188, batch_cost=0.6899, reader_cost=0.0044 | ETA 03:41:48 2020-12-17 18:14:32 [INFO] [TRAIN] epoch=32, iter=20720/40000, loss=0.2006, lr=0.005185, batch_cost=0.7086, reader_cost=0.0004 | ETA 03:47:42 2020-12-17 18:14:39 [INFO] [TRAIN] epoch=32, iter=20730/40000, loss=0.2966, lr=0.005183, batch_cost=0.6928, reader_cost=0.0008 | ETA 03:42:30 2020-12-17 18:14:44 [INFO] [TRAIN] epoch=32, iter=20740/40000, loss=0.2229, lr=0.005180, batch_cost=0.5611, reader_cost=0.0001 | ETA 03:00:07 2020-12-17 18:14:50 [INFO] [TRAIN] epoch=32, iter=20750/40000, loss=0.2808, lr=0.005178, batch_cost=0.5656, reader_cost=0.0001 | ETA 03:01:28 2020-12-17 18:14:57 [INFO] [TRAIN] epoch=32, iter=20760/40000, loss=0.2321, lr=0.005175, batch_cost=0.6929, reader_cost=0.0001 | ETA 03:42:11 2020-12-17 18:15:05 [INFO] [TRAIN] epoch=32, iter=20770/40000, loss=0.2746, lr=0.005173, batch_cost=0.7946, reader_cost=0.0001 | ETA 04:14:39 2020-12-17 18:15:12 [INFO] [TRAIN] epoch=32, iter=20780/40000, loss=0.3432, lr=0.005171, batch_cost=0.6770, reader_cost=0.0001 | ETA 03:36:52 2020-12-17 18:15:19 [INFO] [TRAIN] epoch=32, iter=20790/40000, loss=0.2565, lr=0.005168, batch_cost=0.7029, reader_cost=0.0001 | ETA 03:45:02 2020-12-17 18:15:24 [INFO] [TRAIN] epoch=32, iter=20800/40000, loss=0.3033, lr=0.005166, batch_cost=0.5653, reader_cost=0.0001 | ETA 03:00:53 2020-12-17 18:15:29 [INFO] [TRAIN] epoch=32, iter=20810/40000, loss=0.2521, lr=0.005163, batch_cost=0.4920, reader_cost=0.0001 | ETA 02:37:20 2020-12-17 18:15:34 [INFO] [TRAIN] epoch=32, iter=20820/40000, loss=0.2537, lr=0.005161, batch_cost=0.4869, reader_cost=0.0004 | ETA 02:35:39 2020-12-17 18:15:39 [INFO] [TRAIN] epoch=32, iter=20830/40000, loss=0.3011, lr=0.005159, batch_cost=0.4903, reader_cost=0.0001 | ETA 02:36:38 2020-12-17 18:15:44 [INFO] [TRAIN] epoch=32, iter=20840/40000, loss=0.3228, lr=0.005156, batch_cost=0.4766, reader_cost=0.0001 | ETA 02:32:10 2020-12-17 18:15:49 [INFO] [TRAIN] epoch=32, iter=20850/40000, loss=0.2936, lr=0.005154, batch_cost=0.5050, reader_cost=0.0004 | ETA 02:41:09 2020-12-17 18:15:54 [INFO] [TRAIN] epoch=32, iter=20860/40000, loss=0.2460, lr=0.005151, batch_cost=0.5593, reader_cost=0.0001 | ETA 02:58:25 2020-12-17 18:16:01 [INFO] [TRAIN] epoch=32, iter=20870/40000, loss=0.3071, lr=0.005149, batch_cost=0.6382, reader_cost=0.0006 | ETA 03:23:28 2020-12-17 18:16:07 [INFO] [TRAIN] epoch=32, iter=20880/40000, loss=0.3153, lr=0.005146, batch_cost=0.6417, reader_cost=0.0001 | ETA 03:24:28 2020-12-17 18:16:13 [INFO] [TRAIN] epoch=32, iter=20890/40000, loss=0.3208, lr=0.005144, batch_cost=0.6041, reader_cost=0.0001 | ETA 03:12:24 2020-12-17 18:16:20 [INFO] [TRAIN] epoch=32, iter=20900/40000, loss=0.3370, lr=0.005142, batch_cost=0.7091, reader_cost=0.0082 | ETA 03:45:44 2020-12-17 18:16:28 [INFO] [TRAIN] epoch=32, iter=20910/40000, loss=0.3657, lr=0.005139, batch_cost=0.7249, reader_cost=0.0001 | ETA 03:50:39 2020-12-17 18:16:35 [INFO] [TRAIN] epoch=32, iter=20920/40000, loss=0.3358, lr=0.005137, batch_cost=0.7315, reader_cost=0.0001 | ETA 03:52:37 2020-12-17 18:16:42 [INFO] [TRAIN] epoch=32, iter=20930/40000, loss=0.3445, lr=0.005134, batch_cost=0.7528, reader_cost=0.0056 | ETA 03:59:16 2020-12-17 18:16:50 [INFO] [TRAIN] epoch=32, iter=20940/40000, loss=0.4472, lr=0.005132, batch_cost=0.7740, reader_cost=0.0011 | ETA 04:05:51 2020-12-17 18:16:57 [INFO] [TRAIN] epoch=32, iter=20950/40000, loss=0.3750, lr=0.005129, batch_cost=0.7156, reader_cost=0.0079 | ETA 03:47:12 2020-12-17 18:17:04 [INFO] [TRAIN] epoch=32, iter=20960/40000, loss=0.2832, lr=0.005127, batch_cost=0.6529, reader_cost=0.0001 | ETA 03:27:11 2020-12-17 18:17:11 [INFO] [TRAIN] epoch=32, iter=20970/40000, loss=0.2628, lr=0.005125, batch_cost=0.7359, reader_cost=0.0001 | ETA 03:53:24 2020-12-17 18:17:18 [INFO] [TRAIN] epoch=32, iter=20980/40000, loss=0.2530, lr=0.005122, batch_cost=0.6531, reader_cost=0.0004 | ETA 03:27:02 2020-12-17 18:17:25 [INFO] [TRAIN] epoch=32, iter=20990/40000, loss=0.2450, lr=0.005120, batch_cost=0.7229, reader_cost=0.0085 | ETA 03:49:02 2020-12-17 18:17:32 [INFO] [TRAIN] epoch=32, iter=21000/40000, loss=0.2976, lr=0.005117, batch_cost=0.6997, reader_cost=0.0019 | ETA 03:41:34 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 18:17:32 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 18:18:03 [INFO] [EVAL] #Images=1449 mIoU=0.7709 Acc=0.9484 Kappa=0.8849 2020-12-17 18:18:03 [INFO] [EVAL] Class IoU: [0.9413 0.8975 0.4373 0.8683 0.6765 0.8303 0.9435 0.881 0.9185 0.3815 0.8796 0.5454 0.8648 0.888 0.8508 0.8649 0.579 0.8471 0.4821 0.8662 0.7462] 2020-12-17 18:18:03 [INFO] [EVAL] Class Acc: [0.9618 0.937 0.463 0.9565 0.7752 0.9073 0.9772 0.9442 0.9538 0.6345 0.9562 0.9292 0.9229 0.9315 0.9208 0.9441 0.9037 0.9337 0.7485 0.9535 0.9005] 2020-12-17 18:18:08 [INFO] [EVAL] The model with the best validation mIoU (0.7747) was saved at iter 20000. 2020-12-17 18:18:15 [INFO] [TRAIN] epoch=32, iter=21010/40000, loss=0.2611, lr=0.005115, batch_cost=0.7399, reader_cost=0.0001 | ETA 03:54:10 2020-12-17 18:18:20 [INFO] [TRAIN] epoch=32, iter=21020/40000, loss=0.4248, lr=0.005112, batch_cost=0.5329, reader_cost=0.0001 | ETA 02:48:34 2020-12-17 18:18:25 [INFO] [TRAIN] epoch=32, iter=21030/40000, loss=0.2888, lr=0.005110, batch_cost=0.4940, reader_cost=0.0001 | ETA 02:36:11 2020-12-17 18:18:30 [INFO] [TRAIN] epoch=32, iter=21040/40000, loss=0.2821, lr=0.005108, batch_cost=0.4863, reader_cost=0.0001 | ETA 02:33:39 2020-12-17 18:18:35 [INFO] [TRAIN] epoch=32, iter=21050/40000, loss=0.3336, lr=0.005105, batch_cost=0.5124, reader_cost=0.0001 | ETA 02:41:50 2020-12-17 18:18:40 [INFO] [TRAIN] epoch=32, iter=21060/40000, loss=0.2450, lr=0.005103, batch_cost=0.5046, reader_cost=0.0002 | ETA 02:39:16 2020-12-17 18:18:45 [INFO] [TRAIN] epoch=32, iter=21070/40000, loss=0.2733, lr=0.005100, batch_cost=0.4923, reader_cost=0.0001 | ETA 02:35:19 2020-12-17 18:18:52 [INFO] [TRAIN] epoch=32, iter=21080/40000, loss=0.2163, lr=0.005098, batch_cost=0.7288, reader_cost=0.0004 | ETA 03:49:49 2020-12-17 18:18:59 [INFO] [TRAIN] epoch=32, iter=21090/40000, loss=0.2263, lr=0.005096, batch_cost=0.6876, reader_cost=0.0001 | ETA 03:36:42 2020-12-17 18:19:07 [INFO] [TRAIN] epoch=32, iter=21100/40000, loss=0.3529, lr=0.005093, batch_cost=0.7396, reader_cost=0.0001 | ETA 03:52:58 2020-12-17 18:19:14 [INFO] [TRAIN] epoch=32, iter=21110/40000, loss=0.2967, lr=0.005091, batch_cost=0.6952, reader_cost=0.0015 | ETA 03:38:52 2020-12-17 18:19:21 [INFO] [TRAIN] epoch=32, iter=21120/40000, loss=0.2540, lr=0.005088, batch_cost=0.7424, reader_cost=0.0120 | ETA 03:53:37 2020-12-17 18:19:28 [INFO] [TRAIN] epoch=32, iter=21130/40000, loss=0.2844, lr=0.005086, batch_cost=0.7185, reader_cost=0.0001 | ETA 03:45:57 2020-12-17 18:19:37 [INFO] [TRAIN] epoch=32, iter=21140/40000, loss=0.2378, lr=0.005083, batch_cost=0.8308, reader_cost=0.0014 | ETA 04:21:08 2020-12-17 18:19:43 [INFO] [TRAIN] epoch=32, iter=21150/40000, loss=0.2784, lr=0.005081, batch_cost=0.6250, reader_cost=0.0086 | ETA 03:16:21 2020-12-17 18:19:49 [INFO] [TRAIN] epoch=33, iter=21160/40000, loss=0.3210, lr=0.005079, batch_cost=0.6158, reader_cost=0.0597 | ETA 03:13:21 2020-12-17 18:19:55 [INFO] [TRAIN] epoch=33, iter=21170/40000, loss=0.2247, lr=0.005076, batch_cost=0.5778, reader_cost=0.0001 | ETA 03:01:19 2020-12-17 18:20:02 [INFO] [TRAIN] epoch=33, iter=21180/40000, loss=0.2629, lr=0.005074, batch_cost=0.7066, reader_cost=0.0011 | ETA 03:41:38 2020-12-17 18:20:09 [INFO] [TRAIN] epoch=33, iter=21190/40000, loss=0.2416, lr=0.005071, batch_cost=0.7151, reader_cost=0.0001 | ETA 03:44:10 2020-12-17 18:20:17 [INFO] [TRAIN] epoch=33, iter=21200/40000, loss=0.2565, lr=0.005069, batch_cost=0.7698, reader_cost=0.0001 | ETA 04:01:12 2020-12-17 18:20:24 [INFO] [TRAIN] epoch=33, iter=21210/40000, loss=0.1722, lr=0.005066, batch_cost=0.7167, reader_cost=0.0004 | ETA 03:44:26 2020-12-17 18:20:31 [INFO] [TRAIN] epoch=33, iter=21220/40000, loss=0.2453, lr=0.005064, batch_cost=0.6827, reader_cost=0.0084 | ETA 03:33:41 2020-12-17 18:20:38 [INFO] [TRAIN] epoch=33, iter=21230/40000, loss=0.2061, lr=0.005062, batch_cost=0.6971, reader_cost=0.0004 | ETA 03:38:05 2020-12-17 18:20:45 [INFO] [TRAIN] epoch=33, iter=21240/40000, loss=0.2230, lr=0.005059, batch_cost=0.6893, reader_cost=0.0067 | ETA 03:35:31 2020-12-17 18:20:52 [INFO] [TRAIN] epoch=33, iter=21250/40000, loss=0.1981, lr=0.005057, batch_cost=0.7562, reader_cost=0.0001 | ETA 03:56:18 2020-12-17 18:21:00 [INFO] [TRAIN] epoch=33, iter=21260/40000, loss=0.2519, lr=0.005054, batch_cost=0.7771, reader_cost=0.0013 | ETA 04:02:42 2020-12-17 18:21:07 [INFO] [TRAIN] epoch=33, iter=21270/40000, loss=0.2203, lr=0.005052, batch_cost=0.6931, reader_cost=0.0018 | ETA 03:36:20 2020-12-17 18:21:14 [INFO] [TRAIN] epoch=33, iter=21280/40000, loss=0.2761, lr=0.005049, batch_cost=0.7002, reader_cost=0.0005 | ETA 03:38:27 2020-12-17 18:21:21 [INFO] [TRAIN] epoch=33, iter=21290/40000, loss=0.2313, lr=0.005047, batch_cost=0.6891, reader_cost=0.0078 | ETA 03:34:52 2020-12-17 18:21:27 [INFO] [TRAIN] epoch=33, iter=21300/40000, loss=0.3165, lr=0.005045, batch_cost=0.6345, reader_cost=0.0004 | ETA 03:17:45 2020-12-17 18:21:34 [INFO] [TRAIN] epoch=33, iter=21310/40000, loss=0.1991, lr=0.005042, batch_cost=0.6541, reader_cost=0.0008 | ETA 03:23:44 2020-12-17 18:21:40 [INFO] [TRAIN] epoch=33, iter=21320/40000, loss=0.2929, lr=0.005040, batch_cost=0.6843, reader_cost=0.0008 | ETA 03:33:03 2020-12-17 18:21:48 [INFO] [TRAIN] epoch=33, iter=21330/40000, loss=0.2284, lr=0.005037, batch_cost=0.7342, reader_cost=0.0070 | ETA 03:48:27 2020-12-17 18:21:55 [INFO] [TRAIN] epoch=33, iter=21340/40000, loss=0.2426, lr=0.005035, batch_cost=0.6995, reader_cost=0.0004 | ETA 03:37:33 2020-12-17 18:22:02 [INFO] [TRAIN] epoch=33, iter=21350/40000, loss=0.2869, lr=0.005032, batch_cost=0.7265, reader_cost=0.0008 | ETA 03:45:49 2020-12-17 18:22:09 [INFO] [TRAIN] epoch=33, iter=21360/40000, loss=0.3056, lr=0.005030, batch_cost=0.6917, reader_cost=0.0001 | ETA 03:34:52 2020-12-17 18:22:16 [INFO] [TRAIN] epoch=33, iter=21370/40000, loss=0.2823, lr=0.005028, batch_cost=0.6885, reader_cost=0.0046 | ETA 03:33:46 2020-12-17 18:22:22 [INFO] [TRAIN] epoch=33, iter=21380/40000, loss=0.2303, lr=0.005025, batch_cost=0.6533, reader_cost=0.0001 | ETA 03:22:44 2020-12-17 18:22:29 [INFO] [TRAIN] epoch=33, iter=21390/40000, loss=0.2115, lr=0.005023, batch_cost=0.7040, reader_cost=0.0001 | ETA 03:38:21 2020-12-17 18:22:36 [INFO] [TRAIN] epoch=33, iter=21400/40000, loss=0.3471, lr=0.005020, batch_cost=0.6485, reader_cost=0.0001 | ETA 03:21:02 2020-12-17 18:22:41 [INFO] [TRAIN] epoch=33, iter=21410/40000, loss=0.3055, lr=0.005018, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:46:34 2020-12-17 18:22:48 [INFO] [TRAIN] epoch=33, iter=21420/40000, loss=0.2747, lr=0.005015, batch_cost=0.6663, reader_cost=0.0005 | ETA 03:26:19 2020-12-17 18:22:55 [INFO] [TRAIN] epoch=33, iter=21430/40000, loss=0.2905, lr=0.005013, batch_cost=0.7293, reader_cost=0.0004 | ETA 03:45:42 2020-12-17 18:23:03 [INFO] [TRAIN] epoch=33, iter=21440/40000, loss=0.2879, lr=0.005011, batch_cost=0.7319, reader_cost=0.0001 | ETA 03:46:24 2020-12-17 18:23:10 [INFO] [TRAIN] epoch=33, iter=21450/40000, loss=0.2106, lr=0.005008, batch_cost=0.7396, reader_cost=0.0015 | ETA 03:48:40 2020-12-17 18:23:17 [INFO] [TRAIN] epoch=33, iter=21460/40000, loss=0.2288, lr=0.005006, batch_cost=0.7008, reader_cost=0.0001 | ETA 03:36:33 2020-12-17 18:23:24 [INFO] [TRAIN] epoch=33, iter=21470/40000, loss=0.2323, lr=0.005003, batch_cost=0.7219, reader_cost=0.0001 | ETA 03:42:56 2020-12-17 18:23:30 [INFO] [TRAIN] epoch=33, iter=21480/40000, loss=0.2469, lr=0.005001, batch_cost=0.6127, reader_cost=0.0001 | ETA 03:09:07 2020-12-17 18:23:36 [INFO] [TRAIN] epoch=33, iter=21490/40000, loss=0.2588, lr=0.004998, batch_cost=0.5194, reader_cost=0.0001 | ETA 02:40:14 2020-12-17 18:23:41 [INFO] [TRAIN] epoch=33, iter=21500/40000, loss=0.2504, lr=0.004996, batch_cost=0.5309, reader_cost=0.0001 | ETA 02:43:40 2020-12-17 18:23:46 [INFO] [TRAIN] epoch=33, iter=21510/40000, loss=0.2408, lr=0.004994, batch_cost=0.5007, reader_cost=0.0001 | ETA 02:34:17 2020-12-17 18:23:51 [INFO] [TRAIN] epoch=33, iter=21520/40000, loss=0.2363, lr=0.004991, batch_cost=0.4961, reader_cost=0.0001 | ETA 02:32:47 2020-12-17 18:23:56 [INFO] [TRAIN] epoch=33, iter=21530/40000, loss=0.3280, lr=0.004989, batch_cost=0.4843, reader_cost=0.0001 | ETA 02:29:04 2020-12-17 18:24:01 [INFO] [TRAIN] epoch=33, iter=21540/40000, loss=0.3827, lr=0.004986, batch_cost=0.5696, reader_cost=0.0001 | ETA 02:55:14 2020-12-17 18:24:09 [INFO] [TRAIN] epoch=33, iter=21550/40000, loss=0.3182, lr=0.004984, batch_cost=0.7438, reader_cost=0.0104 | ETA 03:48:42 2020-12-17 18:24:16 [INFO] [TRAIN] epoch=33, iter=21560/40000, loss=0.3029, lr=0.004981, batch_cost=0.7396, reader_cost=0.0049 | ETA 03:47:18 2020-12-17 18:24:23 [INFO] [TRAIN] epoch=33, iter=21570/40000, loss=0.2599, lr=0.004979, batch_cost=0.7256, reader_cost=0.0007 | ETA 03:42:52 2020-12-17 18:24:30 [INFO] [TRAIN] epoch=33, iter=21580/40000, loss=0.2468, lr=0.004977, batch_cost=0.6820, reader_cost=0.0011 | ETA 03:29:21 2020-12-17 18:24:37 [INFO] [TRAIN] epoch=33, iter=21590/40000, loss=0.2122, lr=0.004974, batch_cost=0.7036, reader_cost=0.0005 | ETA 03:35:54 2020-12-17 18:24:44 [INFO] [TRAIN] epoch=33, iter=21600/40000, loss=0.2363, lr=0.004972, batch_cost=0.6923, reader_cost=0.0001 | ETA 03:32:19 2020-12-17 18:24:51 [INFO] [TRAIN] epoch=33, iter=21610/40000, loss=0.2484, lr=0.004969, batch_cost=0.6776, reader_cost=0.0001 | ETA 03:27:41 2020-12-17 18:24:58 [INFO] [TRAIN] epoch=33, iter=21620/40000, loss=0.2275, lr=0.004967, batch_cost=0.7390, reader_cost=0.0004 | ETA 03:46:23 2020-12-17 18:25:05 [INFO] [TRAIN] epoch=33, iter=21630/40000, loss=0.3262, lr=0.004964, batch_cost=0.6778, reader_cost=0.0004 | ETA 03:27:30 2020-12-17 18:25:13 [INFO] [TRAIN] epoch=33, iter=21640/40000, loss=0.2920, lr=0.004962, batch_cost=0.7453, reader_cost=0.0062 | ETA 03:48:04 2020-12-17 18:25:19 [INFO] [TRAIN] epoch=33, iter=21650/40000, loss=0.2739, lr=0.004960, batch_cost=0.6838, reader_cost=0.0004 | ETA 03:29:07 2020-12-17 18:25:27 [INFO] [TRAIN] epoch=33, iter=21660/40000, loss=0.3082, lr=0.004957, batch_cost=0.7344, reader_cost=0.0008 | ETA 03:44:28 2020-12-17 18:25:34 [INFO] [TRAIN] epoch=33, iter=21670/40000, loss=0.3419, lr=0.004955, batch_cost=0.7264, reader_cost=0.0009 | ETA 03:41:55 2020-12-17 18:25:41 [INFO] [TRAIN] epoch=33, iter=21680/40000, loss=0.2555, lr=0.004952, batch_cost=0.6830, reader_cost=0.0017 | ETA 03:28:32 2020-12-17 18:25:48 [INFO] [TRAIN] epoch=33, iter=21690/40000, loss=0.2676, lr=0.004950, batch_cost=0.6981, reader_cost=0.0038 | ETA 03:33:01 2020-12-17 18:25:55 [INFO] [TRAIN] epoch=33, iter=21700/40000, loss=0.2012, lr=0.004947, batch_cost=0.6673, reader_cost=0.0001 | ETA 03:23:30 2020-12-17 18:26:01 [INFO] [TRAIN] epoch=33, iter=21710/40000, loss=0.3669, lr=0.004945, batch_cost=0.6708, reader_cost=0.0078 | ETA 03:24:28 2020-12-17 18:26:09 [INFO] [TRAIN] epoch=33, iter=21720/40000, loss=0.2399, lr=0.004942, batch_cost=0.7503, reader_cost=0.0068 | ETA 03:48:35 2020-12-17 18:26:15 [INFO] [TRAIN] epoch=33, iter=21730/40000, loss=0.3172, lr=0.004940, batch_cost=0.6652, reader_cost=0.0083 | ETA 03:22:33 2020-12-17 18:26:20 [INFO] [TRAIN] epoch=33, iter=21740/40000, loss=0.3685, lr=0.004938, batch_cost=0.4972, reader_cost=0.0001 | ETA 02:31:18 2020-12-17 18:26:25 [INFO] [TRAIN] epoch=33, iter=21750/40000, loss=0.3245, lr=0.004935, batch_cost=0.4986, reader_cost=0.0001 | ETA 02:31:39 2020-12-17 18:26:30 [INFO] [TRAIN] epoch=33, iter=21760/40000, loss=0.2502, lr=0.004933, batch_cost=0.5065, reader_cost=0.0002 | ETA 02:33:59 2020-12-17 18:26:35 [INFO] [TRAIN] epoch=33, iter=21770/40000, loss=0.2700, lr=0.004930, batch_cost=0.4815, reader_cost=0.0001 | ETA 02:26:18 2020-12-17 18:26:41 [INFO] [TRAIN] epoch=33, iter=21780/40000, loss=0.2731, lr=0.004928, batch_cost=0.5364, reader_cost=0.0001 | ETA 02:42:53 2020-12-17 18:26:47 [INFO] [TRAIN] epoch=33, iter=21790/40000, loss=0.3458, lr=0.004925, batch_cost=0.6050, reader_cost=0.0001 | ETA 03:03:37 2020-12-17 18:26:53 [INFO] [TRAIN] epoch=33, iter=21800/40000, loss=0.2525, lr=0.004923, batch_cost=0.6576, reader_cost=0.0002 | ETA 03:19:28 2020-12-17 18:27:00 [INFO] [TRAIN] epoch=33, iter=21810/40000, loss=0.2954, lr=0.004921, batch_cost=0.6257, reader_cost=0.0001 | ETA 03:09:40 2020-12-17 18:27:06 [INFO] [TRAIN] epoch=34, iter=21820/40000, loss=0.2538, lr=0.004918, batch_cost=0.6963, reader_cost=0.0476 | ETA 03:30:57 2020-12-17 18:27:13 [INFO] [TRAIN] epoch=34, iter=21830/40000, loss=0.2009, lr=0.004916, batch_cost=0.6762, reader_cost=0.0054 | ETA 03:24:47 2020-12-17 18:27:21 [INFO] [TRAIN] epoch=34, iter=21840/40000, loss=0.1754, lr=0.004913, batch_cost=0.7302, reader_cost=0.0001 | ETA 03:41:00 2020-12-17 18:27:27 [INFO] [TRAIN] epoch=34, iter=21850/40000, loss=0.2060, lr=0.004911, batch_cost=0.6874, reader_cost=0.0001 | ETA 03:27:55 2020-12-17 18:27:35 [INFO] [TRAIN] epoch=34, iter=21860/40000, loss=0.2756, lr=0.004908, batch_cost=0.7340, reader_cost=0.0006 | ETA 03:41:54 2020-12-17 18:27:41 [INFO] [TRAIN] epoch=34, iter=21870/40000, loss=0.2653, lr=0.004906, batch_cost=0.6511, reader_cost=0.0001 | ETA 03:16:44 2020-12-17 18:27:48 [INFO] [TRAIN] epoch=34, iter=21880/40000, loss=0.3063, lr=0.004904, batch_cost=0.7224, reader_cost=0.0009 | ETA 03:38:09 2020-12-17 18:27:55 [INFO] [TRAIN] epoch=34, iter=21890/40000, loss=0.3230, lr=0.004901, batch_cost=0.6907, reader_cost=0.0005 | ETA 03:28:28 2020-12-17 18:28:01 [INFO] [TRAIN] epoch=34, iter=21900/40000, loss=0.4186, lr=0.004899, batch_cost=0.5116, reader_cost=0.0001 | ETA 02:34:19 2020-12-17 18:28:07 [INFO] [TRAIN] epoch=34, iter=21910/40000, loss=0.1589, lr=0.004896, batch_cost=0.6804, reader_cost=0.0004 | ETA 03:25:07 2020-12-17 18:28:14 [INFO] [TRAIN] epoch=34, iter=21920/40000, loss=0.2726, lr=0.004894, batch_cost=0.6721, reader_cost=0.0001 | ETA 03:22:31 2020-12-17 18:28:21 [INFO] [TRAIN] epoch=34, iter=21930/40000, loss=0.2777, lr=0.004891, batch_cost=0.7025, reader_cost=0.0141 | ETA 03:31:33 2020-12-17 18:28:28 [INFO] [TRAIN] epoch=34, iter=21940/40000, loss=0.2280, lr=0.004889, batch_cost=0.7230, reader_cost=0.0004 | ETA 03:37:37 2020-12-17 18:28:36 [INFO] [TRAIN] epoch=34, iter=21950/40000, loss=0.2826, lr=0.004886, batch_cost=0.7428, reader_cost=0.0006 | ETA 03:43:28 2020-12-17 18:28:43 [INFO] [TRAIN] epoch=34, iter=21960/40000, loss=0.3160, lr=0.004884, batch_cost=0.7163, reader_cost=0.0005 | ETA 03:35:22 2020-12-17 18:28:50 [INFO] [TRAIN] epoch=34, iter=21970/40000, loss=0.2463, lr=0.004882, batch_cost=0.7516, reader_cost=0.0005 | ETA 03:45:51 2020-12-17 18:28:58 [INFO] [TRAIN] epoch=34, iter=21980/40000, loss=0.3556, lr=0.004879, batch_cost=0.7284, reader_cost=0.0005 | ETA 03:38:46 2020-12-17 18:29:06 [INFO] [TRAIN] epoch=34, iter=21990/40000, loss=0.3524, lr=0.004877, batch_cost=0.8246, reader_cost=0.0013 | ETA 04:07:31 2020-12-17 18:29:14 [INFO] [TRAIN] epoch=34, iter=22000/40000, loss=0.2267, lr=0.004874, batch_cost=0.7782, reader_cost=0.0148 | ETA 03:53:27 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 18:29:14 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 18:29:44 [INFO] [EVAL] #Images=1449 mIoU=0.7815 Acc=0.9504 Kappa=0.8908 2020-12-17 18:29:44 [INFO] [EVAL] Class IoU: [0.9453 0.854 0.4305 0.8853 0.6827 0.8302 0.9363 0.8896 0.9217 0.3955 0.9006 0.5893 0.8571 0.8998 0.871 0.8646 0.6206 0.8611 0.4894 0.9032 0.7829] 2020-12-17 18:29:44 [INFO] [EVAL] Class Acc: [0.9697 0.88 0.4453 0.931 0.7742 0.8808 0.9561 0.9484 0.9555 0.5207 0.9609 0.8566 0.9171 0.9511 0.9305 0.9466 0.859 0.9128 0.7965 0.9476 0.9475] 2020-12-17 18:29:50 [INFO] [EVAL] The model with the best validation mIoU (0.7815) was saved at iter 22000. 2020-12-17 18:29:57 [INFO] [TRAIN] epoch=34, iter=22010/40000, loss=0.2737, lr=0.004872, batch_cost=0.7161, reader_cost=0.0001 | ETA 03:34:43 2020-12-17 18:30:05 [INFO] [TRAIN] epoch=34, iter=22020/40000, loss=0.3014, lr=0.004869, batch_cost=0.7669, reader_cost=0.0004 | ETA 03:49:48 2020-12-17 18:30:12 [INFO] [TRAIN] epoch=34, iter=22030/40000, loss=0.2501, lr=0.004867, batch_cost=0.7490, reader_cost=0.0077 | ETA 03:44:19 2020-12-17 18:30:20 [INFO] [TRAIN] epoch=34, iter=22040/40000, loss=0.2357, lr=0.004865, batch_cost=0.7544, reader_cost=0.0082 | ETA 03:45:48 2020-12-17 18:30:27 [INFO] [TRAIN] epoch=34, iter=22050/40000, loss=0.2460, lr=0.004862, batch_cost=0.6684, reader_cost=0.0045 | ETA 03:19:57 2020-12-17 18:30:33 [INFO] [TRAIN] epoch=34, iter=22060/40000, loss=0.2581, lr=0.004860, batch_cost=0.6336, reader_cost=0.0001 | ETA 03:09:26 2020-12-17 18:30:40 [INFO] [TRAIN] epoch=34, iter=22070/40000, loss=0.2690, lr=0.004857, batch_cost=0.6751, reader_cost=0.0005 | ETA 03:21:44 2020-12-17 18:30:45 [INFO] [TRAIN] epoch=34, iter=22080/40000, loss=0.2208, lr=0.004855, batch_cost=0.5647, reader_cost=0.0001 | ETA 02:48:40 2020-12-17 18:30:51 [INFO] [TRAIN] epoch=34, iter=22090/40000, loss=0.2883, lr=0.004852, batch_cost=0.6015, reader_cost=0.0036 | ETA 02:59:32 2020-12-17 18:30:58 [INFO] [TRAIN] epoch=34, iter=22100/40000, loss=0.3333, lr=0.004850, batch_cost=0.6747, reader_cost=0.0004 | ETA 03:21:17 2020-12-17 18:31:05 [INFO] [TRAIN] epoch=34, iter=22110/40000, loss=0.3246, lr=0.004847, batch_cost=0.6632, reader_cost=0.0001 | ETA 03:17:45 2020-12-17 18:31:12 [INFO] [TRAIN] epoch=34, iter=22120/40000, loss=0.3062, lr=0.004845, batch_cost=0.7070, reader_cost=0.0001 | ETA 03:30:40 2020-12-17 18:31:19 [INFO] [TRAIN] epoch=34, iter=22130/40000, loss=0.3076, lr=0.004843, batch_cost=0.7034, reader_cost=0.0091 | ETA 03:29:29 2020-12-17 18:31:26 [INFO] [TRAIN] epoch=34, iter=22140/40000, loss=0.3814, lr=0.004840, batch_cost=0.6901, reader_cost=0.0001 | ETA 03:25:24 2020-12-17 18:31:33 [INFO] [TRAIN] epoch=34, iter=22150/40000, loss=0.2341, lr=0.004838, batch_cost=0.6945, reader_cost=0.0004 | ETA 03:26:37 2020-12-17 18:31:40 [INFO] [TRAIN] epoch=34, iter=22160/40000, loss=0.3142, lr=0.004835, batch_cost=0.6937, reader_cost=0.0078 | ETA 03:26:15 2020-12-17 18:31:46 [INFO] [TRAIN] epoch=34, iter=22170/40000, loss=0.2844, lr=0.004833, batch_cost=0.6605, reader_cost=0.0004 | ETA 03:16:17 2020-12-17 18:31:51 [INFO] [TRAIN] epoch=34, iter=22180/40000, loss=0.3122, lr=0.004830, batch_cost=0.4994, reader_cost=0.0078 | ETA 02:28:19 2020-12-17 18:31:56 [INFO] [TRAIN] epoch=34, iter=22190/40000, loss=0.2995, lr=0.004828, batch_cost=0.5090, reader_cost=0.0001 | ETA 02:31:05 2020-12-17 18:32:01 [INFO] [TRAIN] epoch=34, iter=22200/40000, loss=0.1874, lr=0.004826, batch_cost=0.4903, reader_cost=0.0001 | ETA 02:25:27 2020-12-17 18:32:07 [INFO] [TRAIN] epoch=34, iter=22210/40000, loss=0.2250, lr=0.004823, batch_cost=0.5298, reader_cost=0.0001 | ETA 02:37:05 2020-12-17 18:32:11 [INFO] [TRAIN] epoch=34, iter=22220/40000, loss=0.3547, lr=0.004821, batch_cost=0.4814, reader_cost=0.0001 | ETA 02:22:39 2020-12-17 18:32:17 [INFO] [TRAIN] epoch=34, iter=22230/40000, loss=0.2999, lr=0.004818, batch_cost=0.5828, reader_cost=0.0001 | ETA 02:52:36 2020-12-17 18:32:24 [INFO] [TRAIN] epoch=34, iter=22240/40000, loss=0.2969, lr=0.004816, batch_cost=0.7193, reader_cost=0.0018 | ETA 03:32:53 2020-12-17 18:32:30 [INFO] [TRAIN] epoch=34, iter=22250/40000, loss=0.2089, lr=0.004813, batch_cost=0.6086, reader_cost=0.0001 | ETA 03:00:02 2020-12-17 18:32:37 [INFO] [TRAIN] epoch=34, iter=22260/40000, loss=0.2965, lr=0.004811, batch_cost=0.6930, reader_cost=0.0112 | ETA 03:24:54 2020-12-17 18:32:44 [INFO] [TRAIN] epoch=34, iter=22270/40000, loss=0.3140, lr=0.004808, batch_cost=0.6914, reader_cost=0.0001 | ETA 03:24:18 2020-12-17 18:32:51 [INFO] [TRAIN] epoch=34, iter=22280/40000, loss=0.2729, lr=0.004806, batch_cost=0.6653, reader_cost=0.0006 | ETA 03:16:29 2020-12-17 18:32:58 [INFO] [TRAIN] epoch=34, iter=22290/40000, loss=0.2679, lr=0.004804, batch_cost=0.7283, reader_cost=0.0001 | ETA 03:34:58 2020-12-17 18:33:06 [INFO] [TRAIN] epoch=34, iter=22300/40000, loss=0.2814, lr=0.004801, batch_cost=0.8041, reader_cost=0.0108 | ETA 03:57:13 2020-12-17 18:33:14 [INFO] [TRAIN] epoch=34, iter=22310/40000, loss=0.2759, lr=0.004799, batch_cost=0.7503, reader_cost=0.0100 | ETA 03:41:12 2020-12-17 18:33:22 [INFO] [TRAIN] epoch=34, iter=22320/40000, loss=0.2917, lr=0.004796, batch_cost=0.7939, reader_cost=0.0001 | ETA 03:53:56 2020-12-17 18:33:29 [INFO] [TRAIN] epoch=34, iter=22330/40000, loss=0.2431, lr=0.004794, batch_cost=0.7396, reader_cost=0.0001 | ETA 03:37:49 2020-12-17 18:33:36 [INFO] [TRAIN] epoch=34, iter=22340/40000, loss=0.2440, lr=0.004791, batch_cost=0.7348, reader_cost=0.0001 | ETA 03:36:15 2020-12-17 18:33:43 [INFO] [TRAIN] epoch=34, iter=22350/40000, loss=0.2342, lr=0.004789, batch_cost=0.6792, reader_cost=0.0001 | ETA 03:19:48 2020-12-17 18:33:51 [INFO] [TRAIN] epoch=34, iter=22360/40000, loss=0.2031, lr=0.004786, batch_cost=0.7946, reader_cost=0.0001 | ETA 03:53:36 2020-12-17 18:33:58 [INFO] [TRAIN] epoch=34, iter=22370/40000, loss=0.3485, lr=0.004784, batch_cost=0.6909, reader_cost=0.0001 | ETA 03:22:59 2020-12-17 18:34:06 [INFO] [TRAIN] epoch=34, iter=22380/40000, loss=0.3071, lr=0.004782, batch_cost=0.7348, reader_cost=0.0004 | ETA 03:35:47 2020-12-17 18:34:13 [INFO] [TRAIN] epoch=34, iter=22390/40000, loss=0.2351, lr=0.004779, batch_cost=0.7500, reader_cost=0.0042 | ETA 03:40:07 2020-12-17 18:34:19 [INFO] [TRAIN] epoch=34, iter=22400/40000, loss=0.3488, lr=0.004777, batch_cost=0.6334, reader_cost=0.0001 | ETA 03:05:46 2020-12-17 18:34:24 [INFO] [TRAIN] epoch=34, iter=22410/40000, loss=0.2931, lr=0.004774, batch_cost=0.5063, reader_cost=0.0001 | ETA 02:28:25 2020-12-17 18:34:29 [INFO] [TRAIN] epoch=34, iter=22420/40000, loss=0.3157, lr=0.004772, batch_cost=0.4905, reader_cost=0.0001 | ETA 02:23:42 2020-12-17 18:34:34 [INFO] [TRAIN] epoch=34, iter=22430/40000, loss=0.2894, lr=0.004769, batch_cost=0.4914, reader_cost=0.0044 | ETA 02:23:53 2020-12-17 18:34:39 [INFO] [TRAIN] epoch=34, iter=22440/40000, loss=0.2471, lr=0.004767, batch_cost=0.4748, reader_cost=0.0001 | ETA 02:18:57 2020-12-17 18:34:44 [INFO] [TRAIN] epoch=34, iter=22450/40000, loss=0.3686, lr=0.004765, batch_cost=0.4955, reader_cost=0.0001 | ETA 02:24:56 2020-12-17 18:34:51 [INFO] [TRAIN] epoch=34, iter=22460/40000, loss=0.1737, lr=0.004762, batch_cost=0.6538, reader_cost=0.0001 | ETA 03:11:07 2020-12-17 18:34:57 [INFO] [TRAIN] epoch=34, iter=22470/40000, loss=0.3468, lr=0.004760, batch_cost=0.6620, reader_cost=0.0006 | ETA 03:13:25 2020-12-17 18:35:03 [INFO] [TRAIN] epoch=35, iter=22480/40000, loss=0.2662, lr=0.004757, batch_cost=0.6361, reader_cost=0.0335 | ETA 03:05:44 2020-12-17 18:35:10 [INFO] [TRAIN] epoch=35, iter=22490/40000, loss=0.2968, lr=0.004755, batch_cost=0.7004, reader_cost=0.0014 | ETA 03:24:24 2020-12-17 18:35:17 [INFO] [TRAIN] epoch=35, iter=22500/40000, loss=0.2710, lr=0.004752, batch_cost=0.6182, reader_cost=0.0101 | ETA 03:00:19 2020-12-17 18:35:24 [INFO] [TRAIN] epoch=35, iter=22510/40000, loss=0.3052, lr=0.004750, batch_cost=0.7178, reader_cost=0.0027 | ETA 03:29:14 2020-12-17 18:35:31 [INFO] [TRAIN] epoch=35, iter=22520/40000, loss=0.3068, lr=0.004747, batch_cost=0.6864, reader_cost=0.0004 | ETA 03:19:58 2020-12-17 18:35:37 [INFO] [TRAIN] epoch=35, iter=22530/40000, loss=0.2953, lr=0.004745, batch_cost=0.6584, reader_cost=0.0001 | ETA 03:11:41 2020-12-17 18:35:45 [INFO] [TRAIN] epoch=35, iter=22540/40000, loss=0.2289, lr=0.004743, batch_cost=0.7319, reader_cost=0.0086 | ETA 03:32:58 2020-12-17 18:35:51 [INFO] [TRAIN] epoch=35, iter=22550/40000, loss=0.2231, lr=0.004740, batch_cost=0.6847, reader_cost=0.0009 | ETA 03:19:07 2020-12-17 18:35:59 [INFO] [TRAIN] epoch=35, iter=22560/40000, loss=0.2038, lr=0.004738, batch_cost=0.7288, reader_cost=0.0001 | ETA 03:31:49 2020-12-17 18:36:06 [INFO] [TRAIN] epoch=35, iter=22570/40000, loss=0.2681, lr=0.004735, batch_cost=0.7255, reader_cost=0.0005 | ETA 03:30:45 2020-12-17 18:36:12 [INFO] [TRAIN] epoch=35, iter=22580/40000, loss=0.2602, lr=0.004733, batch_cost=0.6443, reader_cost=0.0001 | ETA 03:07:03 2020-12-17 18:36:17 [INFO] [TRAIN] epoch=35, iter=22590/40000, loss=0.2454, lr=0.004730, batch_cost=0.4849, reader_cost=0.0001 | ETA 02:20:42 2020-12-17 18:36:24 [INFO] [TRAIN] epoch=35, iter=22600/40000, loss=0.2537, lr=0.004728, batch_cost=0.6690, reader_cost=0.0001 | ETA 03:14:00 2020-12-17 18:36:31 [INFO] [TRAIN] epoch=35, iter=22610/40000, loss=0.2640, lr=0.004725, batch_cost=0.7043, reader_cost=0.0170 | ETA 03:24:08 2020-12-17 18:36:38 [INFO] [TRAIN] epoch=35, iter=22620/40000, loss=0.1822, lr=0.004723, batch_cost=0.6896, reader_cost=0.0016 | ETA 03:19:44 2020-12-17 18:36:45 [INFO] [TRAIN] epoch=35, iter=22630/40000, loss=0.2472, lr=0.004721, batch_cost=0.7220, reader_cost=0.0012 | ETA 03:29:01 2020-12-17 18:36:52 [INFO] [TRAIN] epoch=35, iter=22640/40000, loss=0.2137, lr=0.004718, batch_cost=0.7151, reader_cost=0.0005 | ETA 03:26:54 2020-12-17 18:36:59 [INFO] [TRAIN] epoch=35, iter=22650/40000, loss=0.2362, lr=0.004716, batch_cost=0.6747, reader_cost=0.0004 | ETA 03:15:06 2020-12-17 18:37:06 [INFO] [TRAIN] epoch=35, iter=22660/40000, loss=0.2419, lr=0.004713, batch_cost=0.7151, reader_cost=0.0030 | ETA 03:26:39 2020-12-17 18:37:14 [INFO] [TRAIN] epoch=35, iter=22670/40000, loss=0.2817, lr=0.004711, batch_cost=0.7388, reader_cost=0.0032 | ETA 03:33:22 2020-12-17 18:37:21 [INFO] [TRAIN] epoch=35, iter=22680/40000, loss=0.2432, lr=0.004708, batch_cost=0.7332, reader_cost=0.0002 | ETA 03:31:38 2020-12-17 18:37:28 [INFO] [TRAIN] epoch=35, iter=22690/40000, loss=0.1984, lr=0.004706, batch_cost=0.7264, reader_cost=0.0004 | ETA 03:29:34 2020-12-17 18:37:37 [INFO] [TRAIN] epoch=35, iter=22700/40000, loss=0.2359, lr=0.004703, batch_cost=0.8803, reader_cost=0.0093 | ETA 04:13:48 2020-12-17 18:37:50 [INFO] [TRAIN] epoch=35, iter=22710/40000, loss=0.3007, lr=0.004701, batch_cost=1.2660, reader_cost=0.0348 | ETA 06:04:49 2020-12-17 18:37:57 [INFO] [TRAIN] epoch=35, iter=22720/40000, loss=0.2012, lr=0.004698, batch_cost=0.7507, reader_cost=0.0013 | ETA 03:36:11 2020-12-17 18:38:07 [INFO] [TRAIN] epoch=35, iter=22730/40000, loss=0.2821, lr=0.004696, batch_cost=0.9559, reader_cost=0.0074 | ETA 04:35:07 2020-12-17 18:38:15 [INFO] [TRAIN] epoch=35, iter=22740/40000, loss=0.3155, lr=0.004694, batch_cost=0.8105, reader_cost=0.0095 | ETA 03:53:09 2020-12-17 18:38:23 [INFO] [TRAIN] epoch=35, iter=22750/40000, loss=0.3092, lr=0.004691, batch_cost=0.8617, reader_cost=0.0174 | ETA 04:07:44 2020-12-17 18:38:34 [INFO] [TRAIN] epoch=35, iter=22760/40000, loss=0.1715, lr=0.004689, batch_cost=1.0225, reader_cost=0.0001 | ETA 04:53:47 2020-12-17 18:38:40 [INFO] [TRAIN] epoch=35, iter=22770/40000, loss=0.2998, lr=0.004686, batch_cost=0.6725, reader_cost=0.0095 | ETA 03:13:07 2020-12-17 18:38:49 [INFO] [TRAIN] epoch=35, iter=22780/40000, loss=0.2650, lr=0.004684, batch_cost=0.8993, reader_cost=0.0133 | ETA 04:18:06 2020-12-17 18:39:03 [INFO] [TRAIN] epoch=35, iter=22790/40000, loss=0.1964, lr=0.004681, batch_cost=1.3393, reader_cost=0.0081 | ETA 06:24:09 2020-12-17 18:39:15 [INFO] [TRAIN] epoch=35, iter=22800/40000, loss=0.2618, lr=0.004679, batch_cost=1.1674, reader_cost=0.0009 | ETA 05:34:38 2020-12-17 18:39:26 [INFO] [TRAIN] epoch=35, iter=22810/40000, loss=0.2400, lr=0.004676, batch_cost=1.1976, reader_cost=0.0178 | ETA 05:43:06 2020-12-17 18:39:40 [INFO] [TRAIN] epoch=35, iter=22820/40000, loss=0.3303, lr=0.004674, batch_cost=1.3207, reader_cost=0.0212 | ETA 06:18:09 2020-12-17 18:39:52 [INFO] [TRAIN] epoch=35, iter=22830/40000, loss=0.2005, lr=0.004672, batch_cost=1.2426, reader_cost=0.0397 | ETA 05:55:36 2020-12-17 18:40:02 [INFO] [TRAIN] epoch=35, iter=22840/40000, loss=0.2517, lr=0.004669, batch_cost=1.0001, reader_cost=0.0111 | ETA 04:46:01 2020-12-17 18:40:13 [INFO] [TRAIN] epoch=35, iter=22850/40000, loss=0.2280, lr=0.004667, batch_cost=1.1262, reader_cost=0.0275 | ETA 05:21:54 2020-12-17 18:40:26 [INFO] [TRAIN] epoch=35, iter=22860/40000, loss=0.2994, lr=0.004664, batch_cost=1.2449, reader_cost=0.0144 | ETA 05:55:37 2020-12-17 18:40:39 [INFO] [TRAIN] epoch=35, iter=22870/40000, loss=0.2976, lr=0.004662, batch_cost=1.3351, reader_cost=0.0301 | ETA 06:21:10 2020-12-17 18:40:49 [INFO] [TRAIN] epoch=35, iter=22880/40000, loss=0.2824, lr=0.004659, batch_cost=0.9816, reader_cost=0.0001 | ETA 04:40:05 2020-12-17 18:41:01 [INFO] [TRAIN] epoch=35, iter=22890/40000, loss=0.2812, lr=0.004657, batch_cost=1.1765, reader_cost=0.0049 | ETA 05:35:29 2020-12-17 18:41:07 [INFO] [TRAIN] epoch=35, iter=22900/40000, loss=0.2451, lr=0.004654, batch_cost=0.6687, reader_cost=0.0009 | ETA 03:10:35 2020-12-17 18:41:13 [INFO] [TRAIN] epoch=35, iter=22910/40000, loss=0.2277, lr=0.004652, batch_cost=0.5242, reader_cost=0.0001 | ETA 02:29:18 2020-12-17 18:41:18 [INFO] [TRAIN] epoch=35, iter=22920/40000, loss=0.2474, lr=0.004650, batch_cost=0.4851, reader_cost=0.0002 | ETA 02:18:04 2020-12-17 18:41:22 [INFO] [TRAIN] epoch=35, iter=22930/40000, loss=0.2914, lr=0.004647, batch_cost=0.4804, reader_cost=0.0001 | ETA 02:16:40 2020-12-17 18:41:29 [INFO] [TRAIN] epoch=35, iter=22940/40000, loss=0.2804, lr=0.004645, batch_cost=0.6570, reader_cost=0.0001 | ETA 03:06:49 2020-12-17 18:41:38 [INFO] [TRAIN] epoch=35, iter=22950/40000, loss=0.3062, lr=0.004642, batch_cost=0.9497, reader_cost=0.0085 | ETA 04:29:51 2020-12-17 18:41:47 [INFO] [TRAIN] epoch=35, iter=22960/40000, loss=0.2274, lr=0.004640, batch_cost=0.9046, reader_cost=0.0084 | ETA 04:16:53 2020-12-17 18:41:56 [INFO] [TRAIN] epoch=35, iter=22970/40000, loss=0.3663, lr=0.004637, batch_cost=0.8406, reader_cost=0.0121 | ETA 03:58:35 2020-12-17 18:42:04 [INFO] [TRAIN] epoch=35, iter=22980/40000, loss=0.3122, lr=0.004635, batch_cost=0.8186, reader_cost=0.0001 | ETA 03:52:13 2020-12-17 18:42:11 [INFO] [TRAIN] epoch=35, iter=22990/40000, loss=0.1896, lr=0.004632, batch_cost=0.7275, reader_cost=0.0009 | ETA 03:26:14 2020-12-17 18:42:18 [INFO] [TRAIN] epoch=35, iter=23000/40000, loss=0.2456, lr=0.004630, batch_cost=0.7077, reader_cost=0.0005 | ETA 03:20:30 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 2020-12-17 18:42:18 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 18:42:50 [INFO] [EVAL] #Images=1449 mIoU=0.7911 Acc=0.9527 Kappa=0.8957 2020-12-17 18:42:50 [INFO] [EVAL] Class IoU: [0.9467 0.8968 0.4279 0.8858 0.7239 0.842 0.9472 0.8912 0.9302 0.4011 0.9076 0.5613 0.9063 0.8977 0.8679 0.8657 0.6367 0.8754 0.5503 0.8881 0.7621] 2020-12-17 18:42:50 [INFO] [EVAL] Class Acc: [0.9693 0.9316 0.4383 0.9442 0.8344 0.9126 0.9751 0.9472 0.9671 0.6006 0.952 0.9116 0.9413 0.947 0.9289 0.9478 0.7369 0.9206 0.7604 0.9402 0.956 ] 2020-12-17 18:42:58 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 23000. 2020-12-17 18:43:08 [INFO] [TRAIN] epoch=35, iter=23010/40000, loss=0.2802, lr=0.004627, batch_cost=0.9344, reader_cost=0.0287 | ETA 04:24:35 2020-12-17 18:43:18 [INFO] [TRAIN] epoch=35, iter=23020/40000, loss=0.2627, lr=0.004625, batch_cost=1.0040, reader_cost=0.0346 | ETA 04:44:07 2020-12-17 18:43:28 [INFO] [TRAIN] epoch=35, iter=23030/40000, loss=0.2416, lr=0.004623, batch_cost=1.0032, reader_cost=0.0172 | ETA 04:43:44 2020-12-17 18:43:36 [INFO] [TRAIN] epoch=35, iter=23040/40000, loss=0.2801, lr=0.004620, batch_cost=0.8434, reader_cost=0.0011 | ETA 03:58:24 2020-12-17 18:43:45 [INFO] [TRAIN] epoch=35, iter=23050/40000, loss=0.2561, lr=0.004618, batch_cost=0.8541, reader_cost=0.0011 | ETA 04:01:17 2020-12-17 18:43:51 [INFO] [TRAIN] epoch=35, iter=23060/40000, loss=0.2721, lr=0.004615, batch_cost=0.6150, reader_cost=0.0001 | ETA 02:53:37 2020-12-17 18:43:56 [INFO] [TRAIN] epoch=35, iter=23070/40000, loss=0.1812, lr=0.004613, batch_cost=0.5301, reader_cost=0.0017 | ETA 02:29:34 2020-12-17 18:44:03 [INFO] [TRAIN] epoch=35, iter=23080/40000, loss=0.2164, lr=0.004610, batch_cost=0.6503, reader_cost=0.0076 | ETA 03:03:22 2020-12-17 18:44:08 [INFO] [TRAIN] epoch=35, iter=23090/40000, loss=0.2985, lr=0.004608, batch_cost=0.4854, reader_cost=0.0001 | ETA 02:16:48 2020-12-17 18:44:12 [INFO] [TRAIN] epoch=35, iter=23100/40000, loss=0.3074, lr=0.004605, batch_cost=0.4919, reader_cost=0.0004 | ETA 02:18:33 2020-12-17 18:44:18 [INFO] [TRAIN] epoch=35, iter=23110/40000, loss=0.2702, lr=0.004603, batch_cost=0.5558, reader_cost=0.0001 | ETA 02:36:27 2020-12-17 18:44:25 [INFO] [TRAIN] epoch=35, iter=23120/40000, loss=0.2378, lr=0.004600, batch_cost=0.6821, reader_cost=0.0001 | ETA 03:11:54 2020-12-17 18:44:32 [INFO] [TRAIN] epoch=35, iter=23130/40000, loss=0.2501, lr=0.004598, batch_cost=0.6943, reader_cost=0.0129 | ETA 03:15:12 2020-12-17 18:44:38 [INFO] [TRAIN] epoch=36, iter=23140/40000, loss=0.2522, lr=0.004596, batch_cost=0.6031, reader_cost=0.0422 | ETA 02:49:28 2020-12-17 18:44:44 [INFO] [TRAIN] epoch=36, iter=23150/40000, loss=0.3018, lr=0.004593, batch_cost=0.6396, reader_cost=0.0029 | ETA 02:59:37 2020-12-17 18:44:53 [INFO] [TRAIN] epoch=36, iter=23160/40000, loss=0.2600, lr=0.004591, batch_cost=0.8560, reader_cost=0.0049 | ETA 04:00:14 2020-12-17 18:45:00 [INFO] [TRAIN] epoch=36, iter=23170/40000, loss=0.2365, lr=0.004588, batch_cost=0.7239, reader_cost=0.0036 | ETA 03:23:03 2020-12-17 18:45:07 [INFO] [TRAIN] epoch=36, iter=23180/40000, loss=0.2574, lr=0.004586, batch_cost=0.6584, reader_cost=0.0098 | ETA 03:04:34 2020-12-17 18:45:13 [INFO] [TRAIN] epoch=36, iter=23190/40000, loss=0.2682, lr=0.004583, batch_cost=0.6624, reader_cost=0.0001 | ETA 03:05:35 2020-12-17 18:45:20 [INFO] [TRAIN] epoch=36, iter=23200/40000, loss=0.2149, lr=0.004581, batch_cost=0.6938, reader_cost=0.0067 | ETA 03:14:16 2020-12-17 18:45:27 [INFO] [TRAIN] epoch=36, iter=23210/40000, loss=0.2554, lr=0.004578, batch_cost=0.6491, reader_cost=0.0001 | ETA 03:01:39 2020-12-17 18:45:33 [INFO] [TRAIN] epoch=36, iter=23220/40000, loss=0.2113, lr=0.004576, batch_cost=0.6350, reader_cost=0.0005 | ETA 02:57:34 2020-12-17 18:45:40 [INFO] [TRAIN] epoch=36, iter=23230/40000, loss=0.2822, lr=0.004574, batch_cost=0.7172, reader_cost=0.0103 | ETA 03:20:28 2020-12-17 18:45:47 [INFO] [TRAIN] epoch=36, iter=23240/40000, loss=0.2476, lr=0.004571, batch_cost=0.6381, reader_cost=0.0001 | ETA 02:58:14 2020-12-17 18:45:55 [INFO] [TRAIN] epoch=36, iter=23250/40000, loss=0.2844, lr=0.004569, batch_cost=0.8290, reader_cost=0.0016 | ETA 03:51:25 2020-12-17 18:46:00 [INFO] [TRAIN] epoch=36, iter=23260/40000, loss=0.2405, lr=0.004566, batch_cost=0.5210, reader_cost=0.0004 | ETA 02:25:20 2020-12-17 18:46:07 [INFO] [TRAIN] epoch=36, iter=23270/40000, loss=0.2617, lr=0.004564, batch_cost=0.7192, reader_cost=0.0001 | ETA 03:20:31 2020-12-17 18:46:15 [INFO] [TRAIN] epoch=36, iter=23280/40000, loss=0.1896, lr=0.004561, batch_cost=0.7467, reader_cost=0.0001 | ETA 03:28:05 2020-12-17 18:46:22 [INFO] [TRAIN] epoch=36, iter=23290/40000, loss=0.3122, lr=0.004559, batch_cost=0.7188, reader_cost=0.0001 | ETA 03:20:11 2020-12-17 18:46:30 [INFO] [TRAIN] epoch=36, iter=23300/40000, loss=0.3142, lr=0.004556, batch_cost=0.8138, reader_cost=0.0047 | ETA 03:46:29 2020-12-17 18:46:37 [INFO] [TRAIN] epoch=36, iter=23310/40000, loss=0.2677, lr=0.004554, batch_cost=0.7190, reader_cost=0.0005 | ETA 03:19:59 2020-12-17 18:46:45 [INFO] [TRAIN] epoch=36, iter=23320/40000, loss=0.1997, lr=0.004551, batch_cost=0.7510, reader_cost=0.0042 | ETA 03:28:46 2020-12-17 18:46:53 [INFO] [TRAIN] epoch=36, iter=23330/40000, loss=0.1859, lr=0.004549, batch_cost=0.7729, reader_cost=0.0006 | ETA 03:34:44 2020-12-17 18:47:00 [INFO] [TRAIN] epoch=36, iter=23340/40000, loss=0.2744, lr=0.004546, batch_cost=0.7621, reader_cost=0.0001 | ETA 03:31:35 2020-12-17 18:47:07 [INFO] [TRAIN] epoch=36, iter=23350/40000, loss=0.2553, lr=0.004544, batch_cost=0.7153, reader_cost=0.0004 | ETA 03:18:29 2020-12-17 18:47:15 [INFO] [TRAIN] epoch=36, iter=23360/40000, loss=0.2308, lr=0.004542, batch_cost=0.7233, reader_cost=0.0050 | ETA 03:20:36 2020-12-17 18:47:27 [INFO] [TRAIN] epoch=36, iter=23370/40000, loss=0.2108, lr=0.004539, batch_cost=1.2723, reader_cost=0.0035 | ETA 05:52:38 2020-12-17 18:47:36 [INFO] [TRAIN] epoch=36, iter=23380/40000, loss=0.2863, lr=0.004537, batch_cost=0.8543, reader_cost=0.0015 | ETA 03:56:39 2020-12-17 18:47:43 [INFO] [TRAIN] epoch=36, iter=23390/40000, loss=0.2350, lr=0.004534, batch_cost=0.7101, reader_cost=0.0001 | ETA 03:16:35 2020-12-17 18:47:50 [INFO] [TRAIN] epoch=36, iter=23400/40000, loss=0.3062, lr=0.004532, batch_cost=0.7246, reader_cost=0.0001 | ETA 03:20:28 2020-12-17 18:47:57 [INFO] [TRAIN] epoch=36, iter=23410/40000, loss=0.2850, lr=0.004529, batch_cost=0.7028, reader_cost=0.0001 | ETA 03:14:19 2020-12-17 18:48:05 [INFO] [TRAIN] epoch=36, iter=23420/40000, loss=0.2995, lr=0.004527, batch_cost=0.7946, reader_cost=0.0004 | ETA 03:39:34 2020-12-17 18:48:12 [INFO] [TRAIN] epoch=36, iter=23430/40000, loss=0.2337, lr=0.004524, batch_cost=0.7333, reader_cost=0.0106 | ETA 03:22:30 2020-12-17 18:48:19 [INFO] [TRAIN] epoch=36, iter=23440/40000, loss=0.2309, lr=0.004522, batch_cost=0.7019, reader_cost=0.0008 | ETA 03:13:43 2020-12-17 18:48:32 [INFO] [TRAIN] epoch=36, iter=23450/40000, loss=0.1563, lr=0.004519, batch_cost=1.2731, reader_cost=0.0592 | ETA 05:51:10 2020-12-17 18:48:38 [INFO] [TRAIN] epoch=36, iter=23460/40000, loss=0.3418, lr=0.004517, batch_cost=0.6282, reader_cost=0.0007 | ETA 02:53:11 2020-12-17 18:48:44 [INFO] [TRAIN] epoch=36, iter=23470/40000, loss=0.2078, lr=0.004515, batch_cost=0.5329, reader_cost=0.0001 | ETA 02:26:49 2020-12-17 18:48:51 [INFO] [TRAIN] epoch=36, iter=23480/40000, loss=0.2875, lr=0.004512, batch_cost=0.6777, reader_cost=0.0001 | ETA 03:06:35 2020-12-17 18:48:58 [INFO] [TRAIN] epoch=36, iter=23490/40000, loss=0.2496, lr=0.004510, batch_cost=0.6927, reader_cost=0.0085 | ETA 03:10:36 2020-12-17 18:49:05 [INFO] [TRAIN] epoch=36, iter=23500/40000, loss=0.2048, lr=0.004507, batch_cost=0.7627, reader_cost=0.0130 | ETA 03:29:45 2020-12-17 18:49:13 [INFO] [TRAIN] epoch=36, iter=23510/40000, loss=0.2519, lr=0.004505, batch_cost=0.7697, reader_cost=0.0144 | ETA 03:31:31 2020-12-17 18:49:20 [INFO] [TRAIN] epoch=36, iter=23520/40000, loss=0.3224, lr=0.004502, batch_cost=0.7609, reader_cost=0.0001 | ETA 03:28:59 2020-12-17 18:49:30 [INFO] [TRAIN] epoch=36, iter=23530/40000, loss=0.1924, lr=0.004500, batch_cost=0.9847, reader_cost=0.0317 | ETA 04:30:18 2020-12-17 18:49:37 [INFO] [TRAIN] epoch=36, iter=23540/40000, loss=0.3254, lr=0.004497, batch_cost=0.6864, reader_cost=0.0045 | ETA 03:08:18 2020-12-17 18:49:46 [INFO] [TRAIN] epoch=36, iter=23550/40000, loss=0.2704, lr=0.004495, batch_cost=0.8332, reader_cost=0.0001 | ETA 03:48:25 2020-12-17 18:49:53 [INFO] [TRAIN] epoch=36, iter=23560/40000, loss=0.2807, lr=0.004492, batch_cost=0.7550, reader_cost=0.0009 | ETA 03:26:52 2020-12-17 18:50:03 [INFO] [TRAIN] epoch=36, iter=23570/40000, loss=0.2756, lr=0.004490, batch_cost=0.9460, reader_cost=0.0005 | ETA 04:19:02 2020-12-17 18:50:08 [INFO] [TRAIN] epoch=36, iter=23580/40000, loss=0.2560, lr=0.004488, batch_cost=0.5449, reader_cost=0.0001 | ETA 02:29:07 2020-12-17 18:50:13 [INFO] [TRAIN] epoch=36, iter=23590/40000, loss=0.3106, lr=0.004485, batch_cost=0.4986, reader_cost=0.0001 | ETA 02:16:22 2020-12-17 18:50:19 [INFO] [TRAIN] epoch=36, iter=23600/40000, loss=0.2106, lr=0.004483, batch_cost=0.5859, reader_cost=0.0001 | ETA 02:40:09 2020-12-17 18:50:25 [INFO] [TRAIN] epoch=36, iter=23610/40000, loss=0.2335, lr=0.004480, batch_cost=0.6477, reader_cost=0.0001 | ETA 02:56:56 2020-12-17 18:50:32 [INFO] [TRAIN] epoch=36, iter=23620/40000, loss=0.1899, lr=0.004478, batch_cost=0.6280, reader_cost=0.0001 | ETA 02:51:26 2020-12-17 18:50:38 [INFO] [TRAIN] epoch=36, iter=23630/40000, loss=0.3184, lr=0.004475, batch_cost=0.6336, reader_cost=0.0001 | ETA 02:52:51 2020-12-17 18:50:44 [INFO] [TRAIN] epoch=36, iter=23640/40000, loss=0.2966, lr=0.004473, batch_cost=0.6334, reader_cost=0.0001 | ETA 02:52:42 2020-12-17 18:50:51 [INFO] [TRAIN] epoch=36, iter=23650/40000, loss=0.1904, lr=0.004470, batch_cost=0.6803, reader_cost=0.0001 | ETA 03:05:23 2020-12-17 18:50:58 [INFO] [TRAIN] epoch=36, iter=23660/40000, loss=0.2561, lr=0.004468, batch_cost=0.6798, reader_cost=0.0001 | ETA 03:05:08 2020-12-17 18:51:06 [INFO] [TRAIN] epoch=36, iter=23670/40000, loss=0.4201, lr=0.004465, batch_cost=0.8556, reader_cost=0.0165 | ETA 03:52:51 2020-12-17 18:51:14 [INFO] [TRAIN] epoch=36, iter=23680/40000, loss=0.2949, lr=0.004463, batch_cost=0.7724, reader_cost=0.0031 | ETA 03:30:06 2020-12-17 18:51:21 [INFO] [TRAIN] epoch=36, iter=23690/40000, loss=0.3169, lr=0.004460, batch_cost=0.6859, reader_cost=0.0022 | ETA 03:06:27 2020-12-17 18:51:28 [INFO] [TRAIN] epoch=36, iter=23700/40000, loss=0.3154, lr=0.004458, batch_cost=0.6537, reader_cost=0.0001 | ETA 02:57:35 2020-12-17 18:51:34 [INFO] [TRAIN] epoch=36, iter=23710/40000, loss=0.2075, lr=0.004456, batch_cost=0.6679, reader_cost=0.0008 | ETA 03:01:20 2020-12-17 18:51:41 [INFO] [TRAIN] epoch=36, iter=23720/40000, loss=0.2511, lr=0.004453, batch_cost=0.7212, reader_cost=0.0067 | ETA 03:15:41 2020-12-17 18:51:49 [INFO] [TRAIN] epoch=36, iter=23730/40000, loss=0.2817, lr=0.004451, batch_cost=0.7861, reader_cost=0.0005 | ETA 03:33:09 2020-12-17 18:51:56 [INFO] [TRAIN] epoch=36, iter=23740/40000, loss=0.3305, lr=0.004448, batch_cost=0.6519, reader_cost=0.0001 | ETA 02:56:40 2020-12-17 18:52:02 [INFO] [TRAIN] epoch=36, iter=23750/40000, loss=0.3124, lr=0.004446, batch_cost=0.6560, reader_cost=0.0004 | ETA 02:57:40 2020-12-17 18:52:09 [INFO] [TRAIN] epoch=36, iter=23760/40000, loss=0.3639, lr=0.004443, batch_cost=0.6766, reader_cost=0.0004 | ETA 03:03:07 2020-12-17 18:52:16 [INFO] [TRAIN] epoch=36, iter=23770/40000, loss=0.2827, lr=0.004441, batch_cost=0.7215, reader_cost=0.0012 | ETA 03:15:10 2020-12-17 18:52:23 [INFO] [TRAIN] epoch=36, iter=23780/40000, loss=0.1996, lr=0.004438, batch_cost=0.6899, reader_cost=0.0004 | ETA 03:06:30 2020-12-17 18:52:30 [INFO] [TRAIN] epoch=36, iter=23790/40000, loss=0.2578, lr=0.004436, batch_cost=0.7130, reader_cost=0.0001 | ETA 03:12:37 2020-12-17 18:52:35 [INFO] [TRAIN] epoch=37, iter=23800/40000, loss=0.3532, lr=0.004433, batch_cost=0.4947, reader_cost=0.0320 | ETA 02:13:33 2020-12-17 18:52:40 [INFO] [TRAIN] epoch=37, iter=23810/40000, loss=0.2529, lr=0.004431, batch_cost=0.4901, reader_cost=0.0005 | ETA 02:12:15 2020-12-17 18:52:45 [INFO] [TRAIN] epoch=37, iter=23820/40000, loss=0.2535, lr=0.004428, batch_cost=0.4789, reader_cost=0.0001 | ETA 02:09:08 2020-12-17 18:52:51 [INFO] [TRAIN] epoch=37, iter=23830/40000, loss=0.2660, lr=0.004426, batch_cost=0.5706, reader_cost=0.0001 | ETA 02:33:46 2020-12-17 18:52:56 [INFO] [TRAIN] epoch=37, iter=23840/40000, loss=0.2473, lr=0.004424, batch_cost=0.5036, reader_cost=0.0001 | ETA 02:15:38 2020-12-17 18:53:03 [INFO] [TRAIN] epoch=37, iter=23850/40000, loss=0.2658, lr=0.004421, batch_cost=0.7065, reader_cost=0.0001 | ETA 03:10:09 2020-12-17 18:53:12 [INFO] [TRAIN] epoch=37, iter=23860/40000, loss=0.2506, lr=0.004419, batch_cost=0.9206, reader_cost=0.0088 | ETA 04:07:38 2020-12-17 18:53:19 [INFO] [TRAIN] epoch=37, iter=23870/40000, loss=0.3062, lr=0.004416, batch_cost=0.6555, reader_cost=0.0009 | ETA 02:56:13 2020-12-17 18:53:28 [INFO] [TRAIN] epoch=37, iter=23880/40000, loss=0.2997, lr=0.004414, batch_cost=0.9046, reader_cost=0.0223 | ETA 04:03:02 2020-12-17 18:53:35 [INFO] [TRAIN] epoch=37, iter=23890/40000, loss=0.2997, lr=0.004411, batch_cost=0.7484, reader_cost=0.0046 | ETA 03:20:56 2020-12-17 18:53:42 [INFO] [TRAIN] epoch=37, iter=23900/40000, loss=0.2423, lr=0.004409, batch_cost=0.6439, reader_cost=0.0004 | ETA 02:52:47 2020-12-17 18:53:50 [INFO] [TRAIN] epoch=37, iter=23910/40000, loss=0.2554, lr=0.004406, batch_cost=0.8801, reader_cost=0.0001 | ETA 03:56:00 2020-12-17 18:53:57 [INFO] [TRAIN] epoch=37, iter=23920/40000, loss=0.3122, lr=0.004404, batch_cost=0.6915, reader_cost=0.0001 | ETA 03:05:18 2020-12-17 18:54:05 [INFO] [TRAIN] epoch=37, iter=23930/40000, loss=0.1876, lr=0.004401, batch_cost=0.7238, reader_cost=0.0001 | ETA 03:13:51 2020-12-17 18:54:12 [INFO] [TRAIN] epoch=37, iter=23940/40000, loss=0.2420, lr=0.004399, batch_cost=0.6929, reader_cost=0.0007 | ETA 03:05:28 2020-12-17 18:54:21 [INFO] [TRAIN] epoch=37, iter=23950/40000, loss=0.2405, lr=0.004396, batch_cost=0.9566, reader_cost=0.0048 | ETA 04:15:52 2020-12-17 18:54:30 [INFO] [TRAIN] epoch=37, iter=23960/40000, loss=0.2197, lr=0.004394, batch_cost=0.8511, reader_cost=0.0033 | ETA 03:47:31 2020-12-17 18:54:36 [INFO] [TRAIN] epoch=37, iter=23970/40000, loss=0.2225, lr=0.004391, batch_cost=0.6762, reader_cost=0.0005 | ETA 03:00:39 2020-12-17 18:54:43 [INFO] [TRAIN] epoch=37, iter=23980/40000, loss=0.2245, lr=0.004389, batch_cost=0.6730, reader_cost=0.0032 | ETA 02:59:42 2020-12-17 18:54:49 [INFO] [TRAIN] epoch=37, iter=23990/40000, loss=0.2783, lr=0.004387, batch_cost=0.5913, reader_cost=0.0034 | ETA 02:37:46 2020-12-17 18:54:55 [INFO] [TRAIN] epoch=37, iter=24000/40000, loss=0.3331, lr=0.004384, batch_cost=0.6148, reader_cost=0.0001 | ETA 02:43:57 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 18:54:55 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 18:55:26 [INFO] [EVAL] #Images=1449 mIoU=0.7783 Acc=0.9506 Kappa=0.8905 2020-12-17 18:55:26 [INFO] [EVAL] Class IoU: [0.9447 0.8997 0.4267 0.8722 0.723 0.8368 0.9276 0.8922 0.9218 0.4056 0.8742 0.5878 0.9011 0.86 0.8671 0.868 0.5667 0.8354 0.4862 0.8668 0.7808] 2020-12-17 18:55:26 [INFO] [EVAL] Class Acc: [0.9663 0.9371 0.4395 0.9043 0.7999 0.8907 0.9774 0.9543 0.9738 0.6216 0.9331 0.9152 0.9394 0.8941 0.9318 0.9356 0.8386 0.9481 0.7893 0.9431 0.9322] 2020-12-17 18:55:31 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 23000. 2020-12-17 18:55:37 [INFO] [TRAIN] epoch=37, iter=24010/40000, loss=0.2690, lr=0.004382, batch_cost=0.6675, reader_cost=0.0005 | ETA 02:57:53 2020-12-17 18:55:44 [INFO] [TRAIN] epoch=37, iter=24020/40000, loss=0.2560, lr=0.004379, batch_cost=0.6987, reader_cost=0.0003 | ETA 03:06:05 2020-12-17 18:55:51 [INFO] [TRAIN] epoch=37, iter=24030/40000, loss=0.2208, lr=0.004377, batch_cost=0.6540, reader_cost=0.0001 | ETA 02:54:04 2020-12-17 18:55:58 [INFO] [TRAIN] epoch=37, iter=24040/40000, loss=0.2464, lr=0.004374, batch_cost=0.7007, reader_cost=0.0084 | ETA 03:06:22 2020-12-17 18:56:05 [INFO] [TRAIN] epoch=37, iter=24050/40000, loss=0.3556, lr=0.004372, batch_cost=0.7481, reader_cost=0.0001 | ETA 03:18:51 2020-12-17 18:56:12 [INFO] [TRAIN] epoch=37, iter=24060/40000, loss=0.2060, lr=0.004369, batch_cost=0.6494, reader_cost=0.0001 | ETA 02:52:32 2020-12-17 18:56:19 [INFO] [TRAIN] epoch=37, iter=24070/40000, loss=0.2785, lr=0.004367, batch_cost=0.6816, reader_cost=0.0001 | ETA 03:00:57 2020-12-17 18:56:26 [INFO] [TRAIN] epoch=37, iter=24080/40000, loss=0.2549, lr=0.004364, batch_cost=0.6837, reader_cost=0.0001 | ETA 03:01:24 2020-12-17 18:56:35 [INFO] [TRAIN] epoch=37, iter=24090/40000, loss=0.2114, lr=0.004362, batch_cost=0.9698, reader_cost=0.0024 | ETA 04:17:10 2020-12-17 18:56:46 [INFO] [TRAIN] epoch=37, iter=24100/40000, loss=0.2472, lr=0.004359, batch_cost=1.1077, reader_cost=0.0035 | ETA 04:53:31 2020-12-17 18:56:54 [INFO] [TRAIN] epoch=37, iter=24110/40000, loss=0.2265, lr=0.004357, batch_cost=0.7385, reader_cost=0.0080 | ETA 03:15:35 2020-12-17 18:57:00 [INFO] [TRAIN] epoch=37, iter=24120/40000, loss=0.2544, lr=0.004354, batch_cost=0.6526, reader_cost=0.0001 | ETA 02:52:43 2020-12-17 18:57:08 [INFO] [TRAIN] epoch=37, iter=24130/40000, loss=0.3151, lr=0.004352, batch_cost=0.7459, reader_cost=0.0001 | ETA 03:17:16 2020-12-17 18:57:14 [INFO] [TRAIN] epoch=37, iter=24140/40000, loss=0.1978, lr=0.004350, batch_cost=0.5907, reader_cost=0.0001 | ETA 02:36:08 2020-12-17 18:57:19 [INFO] [TRAIN] epoch=37, iter=24150/40000, loss=0.1904, lr=0.004347, batch_cost=0.5671, reader_cost=0.0001 | ETA 02:29:47 2020-12-17 18:57:26 [INFO] [TRAIN] epoch=37, iter=24160/40000, loss=0.1685, lr=0.004345, batch_cost=0.7034, reader_cost=0.0012 | ETA 03:05:41 2020-12-17 18:57:33 [INFO] [TRAIN] epoch=37, iter=24170/40000, loss=0.2845, lr=0.004342, batch_cost=0.6448, reader_cost=0.0001 | ETA 02:50:07 2020-12-17 18:57:39 [INFO] [TRAIN] epoch=37, iter=24180/40000, loss=0.1979, lr=0.004340, batch_cost=0.6116, reader_cost=0.0009 | ETA 02:41:16 2020-12-17 18:57:46 [INFO] [TRAIN] epoch=37, iter=24190/40000, loss=0.2899, lr=0.004337, batch_cost=0.6551, reader_cost=0.0001 | ETA 02:52:36 2020-12-17 18:57:53 [INFO] [TRAIN] epoch=37, iter=24200/40000, loss=0.2849, lr=0.004335, batch_cost=0.7063, reader_cost=0.0001 | ETA 03:05:59 2020-12-17 18:57:59 [INFO] [TRAIN] epoch=37, iter=24210/40000, loss=0.2863, lr=0.004332, batch_cost=0.6879, reader_cost=0.0005 | ETA 03:01:01 2020-12-17 18:58:06 [INFO] [TRAIN] epoch=37, iter=24220/40000, loss=0.2796, lr=0.004330, batch_cost=0.6950, reader_cost=0.0043 | ETA 03:02:46 2020-12-17 18:58:13 [INFO] [TRAIN] epoch=37, iter=24230/40000, loss=0.3133, lr=0.004327, batch_cost=0.6339, reader_cost=0.0001 | ETA 02:46:36 2020-12-17 18:58:20 [INFO] [TRAIN] epoch=37, iter=24240/40000, loss=0.2561, lr=0.004325, batch_cost=0.6722, reader_cost=0.0011 | ETA 02:56:33 2020-12-17 18:58:26 [INFO] [TRAIN] epoch=37, iter=24250/40000, loss=0.3059, lr=0.004322, batch_cost=0.6845, reader_cost=0.0001 | ETA 02:59:41 2020-12-17 18:58:32 [INFO] [TRAIN] epoch=37, iter=24260/40000, loss=0.2396, lr=0.004320, batch_cost=0.5948, reader_cost=0.0001 | ETA 02:36:02 2020-12-17 18:58:37 [INFO] [TRAIN] epoch=37, iter=24270/40000, loss=0.3143, lr=0.004317, batch_cost=0.5131, reader_cost=0.0001 | ETA 02:14:30 2020-12-17 18:58:42 [INFO] [TRAIN] epoch=37, iter=24280/40000, loss=0.3111, lr=0.004315, batch_cost=0.4792, reader_cost=0.0001 | ETA 02:05:32 2020-12-17 18:58:47 [INFO] [TRAIN] epoch=37, iter=24290/40000, loss=0.2797, lr=0.004313, batch_cost=0.4902, reader_cost=0.0001 | ETA 02:08:20 2020-12-17 18:58:52 [INFO] [TRAIN] epoch=37, iter=24300/40000, loss=0.1984, lr=0.004310, batch_cost=0.4713, reader_cost=0.0001 | ETA 02:03:20 2020-12-17 18:58:57 [INFO] [TRAIN] epoch=37, iter=24310/40000, loss=0.2904, lr=0.004308, batch_cost=0.4964, reader_cost=0.0001 | ETA 02:09:48 2020-12-17 18:59:02 [INFO] [TRAIN] epoch=37, iter=24320/40000, loss=0.2983, lr=0.004305, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:21:34 2020-12-17 18:59:09 [INFO] [TRAIN] epoch=37, iter=24330/40000, loss=0.2832, lr=0.004303, batch_cost=0.6381, reader_cost=0.0038 | ETA 02:46:39 2020-12-17 18:59:16 [INFO] [TRAIN] epoch=37, iter=24340/40000, loss=0.2308, lr=0.004300, batch_cost=0.7008, reader_cost=0.0001 | ETA 03:02:54 2020-12-17 18:59:22 [INFO] [TRAIN] epoch=37, iter=24350/40000, loss=0.2488, lr=0.004298, batch_cost=0.6750, reader_cost=0.0005 | ETA 02:56:03 2020-12-17 18:59:29 [INFO] [TRAIN] epoch=37, iter=24360/40000, loss=0.3150, lr=0.004295, batch_cost=0.6326, reader_cost=0.0004 | ETA 02:44:53 2020-12-17 18:59:35 [INFO] [TRAIN] epoch=37, iter=24370/40000, loss=0.2503, lr=0.004293, batch_cost=0.6352, reader_cost=0.0001 | ETA 02:45:28 2020-12-17 18:59:42 [INFO] [TRAIN] epoch=37, iter=24380/40000, loss=0.2364, lr=0.004290, batch_cost=0.6492, reader_cost=0.0003 | ETA 02:49:00 2020-12-17 18:59:48 [INFO] [TRAIN] epoch=37, iter=24390/40000, loss=0.2693, lr=0.004288, batch_cost=0.6676, reader_cost=0.0001 | ETA 02:53:41 2020-12-17 18:59:55 [INFO] [TRAIN] epoch=37, iter=24400/40000, loss=0.2497, lr=0.004285, batch_cost=0.6483, reader_cost=0.0010 | ETA 02:48:33 2020-12-17 19:00:01 [INFO] [TRAIN] epoch=37, iter=24410/40000, loss=0.3069, lr=0.004283, batch_cost=0.6557, reader_cost=0.0001 | ETA 02:50:21 2020-12-17 19:00:08 [INFO] [TRAIN] epoch=37, iter=24420/40000, loss=0.3009, lr=0.004280, batch_cost=0.6763, reader_cost=0.0004 | ETA 02:55:36 2020-12-17 19:00:15 [INFO] [TRAIN] epoch=37, iter=24430/40000, loss=0.1628, lr=0.004278, batch_cost=0.6702, reader_cost=0.0001 | ETA 02:53:54 2020-12-17 19:00:21 [INFO] [TRAIN] epoch=37, iter=24440/40000, loss=0.2432, lr=0.004275, batch_cost=0.6455, reader_cost=0.0059 | ETA 02:47:24 2020-12-17 19:00:29 [INFO] [TRAIN] epoch=37, iter=24450/40000, loss=0.2966, lr=0.004273, batch_cost=0.7706, reader_cost=0.0005 | ETA 03:19:43 2020-12-17 19:00:35 [INFO] [TRAIN] epoch=38, iter=24460/40000, loss=0.2703, lr=0.004270, batch_cost=0.5647, reader_cost=0.0370 | ETA 02:26:14 2020-12-17 19:00:40 [INFO] [TRAIN] epoch=38, iter=24470/40000, loss=0.2579, lr=0.004268, batch_cost=0.5782, reader_cost=0.0004 | ETA 02:29:39 2020-12-17 19:00:45 [INFO] [TRAIN] epoch=38, iter=24480/40000, loss=0.2627, lr=0.004266, batch_cost=0.4680, reader_cost=0.0001 | ETA 02:01:03 2020-12-17 19:00:50 [INFO] [TRAIN] epoch=38, iter=24490/40000, loss=0.1840, lr=0.004263, batch_cost=0.4841, reader_cost=0.0001 | ETA 02:05:08 2020-12-17 19:00:55 [INFO] [TRAIN] epoch=38, iter=24500/40000, loss=0.2502, lr=0.004261, batch_cost=0.4773, reader_cost=0.0001 | ETA 02:03:17 2020-12-17 19:01:00 [INFO] [TRAIN] epoch=38, iter=24510/40000, loss=0.2929, lr=0.004258, batch_cost=0.4761, reader_cost=0.0002 | ETA 02:02:55 2020-12-17 19:01:04 [INFO] [TRAIN] epoch=38, iter=24520/40000, loss=0.2795, lr=0.004256, batch_cost=0.4949, reader_cost=0.0001 | ETA 02:07:41 2020-12-17 19:01:09 [INFO] [TRAIN] epoch=38, iter=24530/40000, loss=0.2313, lr=0.004253, batch_cost=0.4742, reader_cost=0.0001 | ETA 02:02:16 2020-12-17 19:01:14 [INFO] [TRAIN] epoch=38, iter=24540/40000, loss=0.2726, lr=0.004251, batch_cost=0.5010, reader_cost=0.0001 | ETA 02:09:05 2020-12-17 19:01:19 [INFO] [TRAIN] epoch=38, iter=24550/40000, loss=0.1888, lr=0.004248, batch_cost=0.4803, reader_cost=0.0001 | ETA 02:03:40 2020-12-17 19:01:24 [INFO] [TRAIN] epoch=38, iter=24560/40000, loss=0.2278, lr=0.004246, batch_cost=0.4705, reader_cost=0.0001 | ETA 02:01:04 2020-12-17 19:01:28 [INFO] [TRAIN] epoch=38, iter=24570/40000, loss=0.2763, lr=0.004243, batch_cost=0.4671, reader_cost=0.0001 | ETA 02:00:07 2020-12-17 19:01:33 [INFO] [TRAIN] epoch=38, iter=24580/40000, loss=0.2631, lr=0.004241, batch_cost=0.4734, reader_cost=0.0001 | ETA 02:01:40 2020-12-17 19:01:38 [INFO] [TRAIN] epoch=38, iter=24590/40000, loss=0.2966, lr=0.004238, batch_cost=0.4665, reader_cost=0.0001 | ETA 01:59:48 2020-12-17 19:01:43 [INFO] [TRAIN] epoch=38, iter=24600/40000, loss=0.2844, lr=0.004236, batch_cost=0.4775, reader_cost=0.0001 | ETA 02:02:34 2020-12-17 19:01:47 [INFO] [TRAIN] epoch=38, iter=24610/40000, loss=0.2162, lr=0.004233, batch_cost=0.4811, reader_cost=0.0001 | ETA 02:03:24 2020-12-17 19:01:52 [INFO] [TRAIN] epoch=38, iter=24620/40000, loss=0.2978, lr=0.004231, batch_cost=0.4715, reader_cost=0.0001 | ETA 02:00:51 2020-12-17 19:01:57 [INFO] [TRAIN] epoch=38, iter=24630/40000, loss=0.2502, lr=0.004228, batch_cost=0.4814, reader_cost=0.0001 | ETA 02:03:19 2020-12-17 19:02:02 [INFO] [TRAIN] epoch=38, iter=24640/40000, loss=0.2176, lr=0.004226, batch_cost=0.4815, reader_cost=0.0001 | ETA 02:03:16 2020-12-17 19:02:07 [INFO] [TRAIN] epoch=38, iter=24650/40000, loss=0.2927, lr=0.004223, batch_cost=0.4915, reader_cost=0.0001 | ETA 02:05:43 2020-12-17 19:02:11 [INFO] [TRAIN] epoch=38, iter=24660/40000, loss=0.2971, lr=0.004221, batch_cost=0.4730, reader_cost=0.0001 | ETA 02:00:56 2020-12-17 19:02:16 [INFO] [TRAIN] epoch=38, iter=24670/40000, loss=0.2656, lr=0.004219, batch_cost=0.4645, reader_cost=0.0001 | ETA 01:58:40 2020-12-17 19:02:21 [INFO] [TRAIN] epoch=38, iter=24680/40000, loss=0.2322, lr=0.004216, batch_cost=0.4815, reader_cost=0.0001 | ETA 02:02:56 2020-12-17 19:02:26 [INFO] [TRAIN] epoch=38, iter=24690/40000, loss=0.2050, lr=0.004214, batch_cost=0.4822, reader_cost=0.0001 | ETA 02:03:03 2020-12-17 19:02:30 [INFO] [TRAIN] epoch=38, iter=24700/40000, loss=0.2519, lr=0.004211, batch_cost=0.4801, reader_cost=0.0001 | ETA 02:02:25 2020-12-17 19:02:35 [INFO] [TRAIN] epoch=38, iter=24710/40000, loss=0.2855, lr=0.004209, batch_cost=0.4942, reader_cost=0.0001 | ETA 02:05:55 2020-12-17 19:02:40 [INFO] [TRAIN] epoch=38, iter=24720/40000, loss=0.1964, lr=0.004206, batch_cost=0.4677, reader_cost=0.0001 | ETA 01:59:06 2020-12-17 19:02:45 [INFO] [TRAIN] epoch=38, iter=24730/40000, loss=0.2482, lr=0.004204, batch_cost=0.4945, reader_cost=0.0001 | ETA 02:05:50 2020-12-17 19:02:50 [INFO] [TRAIN] epoch=38, iter=24740/40000, loss=0.2133, lr=0.004201, batch_cost=0.4740, reader_cost=0.0001 | ETA 02:00:33 2020-12-17 19:02:55 [INFO] [TRAIN] epoch=38, iter=24750/40000, loss=0.2169, lr=0.004199, batch_cost=0.5448, reader_cost=0.0001 | ETA 02:18:28 2020-12-17 19:03:00 [INFO] [TRAIN] epoch=38, iter=24760/40000, loss=0.2346, lr=0.004196, batch_cost=0.4804, reader_cost=0.0001 | ETA 02:02:00 2020-12-17 19:03:05 [INFO] [TRAIN] epoch=38, iter=24770/40000, loss=0.2596, lr=0.004194, batch_cost=0.4984, reader_cost=0.0001 | ETA 02:06:29 2020-12-17 19:03:10 [INFO] [TRAIN] epoch=38, iter=24780/40000, loss=0.2502, lr=0.004191, batch_cost=0.4758, reader_cost=0.0001 | ETA 02:00:41 2020-12-17 19:03:15 [INFO] [TRAIN] epoch=38, iter=24790/40000, loss=0.2665, lr=0.004189, batch_cost=0.4782, reader_cost=0.0001 | ETA 02:01:13 2020-12-17 19:03:19 [INFO] [TRAIN] epoch=38, iter=24800/40000, loss=0.2445, lr=0.004186, batch_cost=0.4779, reader_cost=0.0001 | ETA 02:01:04 2020-12-17 19:03:25 [INFO] [TRAIN] epoch=38, iter=24810/40000, loss=0.2473, lr=0.004184, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:17:24 2020-12-17 19:03:30 [INFO] [TRAIN] epoch=38, iter=24820/40000, loss=0.2792, lr=0.004181, batch_cost=0.4790, reader_cost=0.0001 | ETA 02:01:10 2020-12-17 19:03:34 [INFO] [TRAIN] epoch=38, iter=24830/40000, loss=0.2568, lr=0.004179, batch_cost=0.4813, reader_cost=0.0001 | ETA 02:01:41 2020-12-17 19:03:39 [INFO] [TRAIN] epoch=38, iter=24840/40000, loss=0.1822, lr=0.004176, batch_cost=0.4820, reader_cost=0.0001 | ETA 02:01:46 2020-12-17 19:03:44 [INFO] [TRAIN] epoch=38, iter=24850/40000, loss=0.5040, lr=0.004174, batch_cost=0.4956, reader_cost=0.0001 | ETA 02:05:07 2020-12-17 19:03:49 [INFO] [TRAIN] epoch=38, iter=24860/40000, loss=0.2962, lr=0.004171, batch_cost=0.4750, reader_cost=0.0001 | ETA 01:59:50 2020-12-17 19:03:54 [INFO] [TRAIN] epoch=38, iter=24870/40000, loss=0.3221, lr=0.004169, batch_cost=0.4719, reader_cost=0.0001 | ETA 01:58:59 2020-12-17 19:03:58 [INFO] [TRAIN] epoch=38, iter=24880/40000, loss=0.2642, lr=0.004166, batch_cost=0.4748, reader_cost=0.0001 | ETA 01:59:39 2020-12-17 19:04:03 [INFO] [TRAIN] epoch=38, iter=24890/40000, loss=0.2459, lr=0.004164, batch_cost=0.4709, reader_cost=0.0001 | ETA 01:58:34 2020-12-17 19:04:08 [INFO] [TRAIN] epoch=38, iter=24900/40000, loss=0.2674, lr=0.004162, batch_cost=0.4823, reader_cost=0.0001 | ETA 02:01:22 2020-12-17 19:04:13 [INFO] [TRAIN] epoch=38, iter=24910/40000, loss=0.2165, lr=0.004159, batch_cost=0.4672, reader_cost=0.0001 | ETA 01:57:29 2020-12-17 19:04:17 [INFO] [TRAIN] epoch=38, iter=24920/40000, loss=0.2830, lr=0.004157, batch_cost=0.4773, reader_cost=0.0001 | ETA 01:59:56 2020-12-17 19:04:22 [INFO] [TRAIN] epoch=38, iter=24930/40000, loss=0.2287, lr=0.004154, batch_cost=0.4740, reader_cost=0.0001 | ETA 01:59:03 2020-12-17 19:04:27 [INFO] [TRAIN] epoch=38, iter=24940/40000, loss=0.2058, lr=0.004152, batch_cost=0.4652, reader_cost=0.0001 | ETA 01:56:46 2020-12-17 19:04:31 [INFO] [TRAIN] epoch=38, iter=24950/40000, loss=0.2767, lr=0.004149, batch_cost=0.4744, reader_cost=0.0001 | ETA 01:58:59 2020-12-17 19:04:36 [INFO] [TRAIN] epoch=38, iter=24960/40000, loss=0.2521, lr=0.004147, batch_cost=0.4737, reader_cost=0.0001 | ETA 01:58:44 2020-12-17 19:04:41 [INFO] [TRAIN] epoch=38, iter=24970/40000, loss=0.3007, lr=0.004144, batch_cost=0.4868, reader_cost=0.0001 | ETA 02:01:56 2020-12-17 19:04:46 [INFO] [TRAIN] epoch=38, iter=24980/40000, loss=0.2461, lr=0.004142, batch_cost=0.4848, reader_cost=0.0001 | ETA 02:01:21 2020-12-17 19:04:51 [INFO] [TRAIN] epoch=38, iter=24990/40000, loss=0.2609, lr=0.004139, batch_cost=0.4819, reader_cost=0.0001 | ETA 02:00:33 2020-12-17 19:04:56 [INFO] [TRAIN] epoch=38, iter=25000/40000, loss=0.1769, lr=0.004137, batch_cost=0.4830, reader_cost=0.0001 | ETA 02:00:44 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:04:56 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 19:05:14 [INFO] [EVAL] #Images=1449 mIoU=0.7876 Acc=0.9513 Kappa=0.8921 2020-12-17 19:05:14 [INFO] [EVAL] Class IoU: [0.9443 0.861 0.4299 0.898 0.6913 0.8411 0.9493 0.881 0.9347 0.4107 0.9078 0.6168 0.88 0.9053 0.8703 0.8677 0.6542 0.8735 0.4811 0.8636 0.778 ] 2020-12-17 19:05:14 [INFO] [EVAL] Class Acc: [0.966 0.9031 0.4418 0.9424 0.8174 0.8997 0.9786 0.9545 0.9559 0.613 0.9672 0.9214 0.9334 0.9561 0.9367 0.9512 0.8328 0.9086 0.7549 0.9441 0.9526] 2020-12-17 19:05:18 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 23000. 2020-12-17 19:05:23 [INFO] [TRAIN] epoch=38, iter=25010/40000, loss=0.2433, lr=0.004134, batch_cost=0.5126, reader_cost=0.0001 | ETA 02:08:03 2020-12-17 19:05:28 [INFO] [TRAIN] epoch=38, iter=25020/40000, loss=0.2230, lr=0.004132, batch_cost=0.4910, reader_cost=0.0001 | ETA 02:02:35 2020-12-17 19:05:33 [INFO] [TRAIN] epoch=38, iter=25030/40000, loss=0.2609, lr=0.004129, batch_cost=0.4934, reader_cost=0.0001 | ETA 02:03:06 2020-12-17 19:05:38 [INFO] [TRAIN] epoch=38, iter=25040/40000, loss=0.1851, lr=0.004127, batch_cost=0.4822, reader_cost=0.0001 | ETA 02:00:13 2020-12-17 19:05:43 [INFO] [TRAIN] epoch=38, iter=25050/40000, loss=0.2731, lr=0.004124, batch_cost=0.5078, reader_cost=0.0001 | ETA 02:06:31 2020-12-17 19:05:48 [INFO] [TRAIN] epoch=38, iter=25060/40000, loss=0.3232, lr=0.004122, batch_cost=0.5015, reader_cost=0.0001 | ETA 02:04:52 2020-12-17 19:05:53 [INFO] [TRAIN] epoch=38, iter=25070/40000, loss=0.2132, lr=0.004119, batch_cost=0.4908, reader_cost=0.0001 | ETA 02:02:07 2020-12-17 19:05:58 [INFO] [TRAIN] epoch=38, iter=25080/40000, loss=0.1725, lr=0.004117, batch_cost=0.4901, reader_cost=0.0001 | ETA 02:01:52 2020-12-17 19:06:03 [INFO] [TRAIN] epoch=38, iter=25090/40000, loss=0.3018, lr=0.004114, batch_cost=0.4945, reader_cost=0.0001 | ETA 02:02:52 2020-12-17 19:06:08 [INFO] [TRAIN] epoch=38, iter=25100/40000, loss=0.2403, lr=0.004112, batch_cost=0.4899, reader_cost=0.0001 | ETA 02:01:39 2020-12-17 19:06:13 [INFO] [TRAIN] epoch=38, iter=25110/40000, loss=0.2437, lr=0.004109, batch_cost=0.4852, reader_cost=0.0001 | ETA 02:00:25 2020-12-17 19:06:18 [INFO] [TRAIN] epoch=39, iter=25120/40000, loss=0.3510, lr=0.004107, batch_cost=0.4842, reader_cost=0.0316 | ETA 02:00:04 2020-12-17 19:06:22 [INFO] [TRAIN] epoch=39, iter=25130/40000, loss=0.2246, lr=0.004104, batch_cost=0.4850, reader_cost=0.0001 | ETA 02:00:11 2020-12-17 19:06:28 [INFO] [TRAIN] epoch=39, iter=25140/40000, loss=0.2452, lr=0.004102, batch_cost=0.5121, reader_cost=0.0001 | ETA 02:06:50 2020-12-17 19:06:33 [INFO] [TRAIN] epoch=39, iter=25150/40000, loss=0.1961, lr=0.004099, batch_cost=0.5233, reader_cost=0.0001 | ETA 02:09:30 2020-12-17 19:06:38 [INFO] [TRAIN] epoch=39, iter=25160/40000, loss=0.2220, lr=0.004097, batch_cost=0.4996, reader_cost=0.0001 | ETA 02:03:34 2020-12-17 19:06:43 [INFO] [TRAIN] epoch=39, iter=25170/40000, loss=0.2389, lr=0.004094, batch_cost=0.4889, reader_cost=0.0001 | ETA 02:00:50 2020-12-17 19:06:48 [INFO] [TRAIN] epoch=39, iter=25180/40000, loss=0.2485, lr=0.004092, batch_cost=0.5098, reader_cost=0.0001 | ETA 02:05:54 2020-12-17 19:06:53 [INFO] [TRAIN] epoch=39, iter=25190/40000, loss=0.2443, lr=0.004090, batch_cost=0.5017, reader_cost=0.0001 | ETA 02:03:50 2020-12-17 19:06:58 [INFO] [TRAIN] epoch=39, iter=25200/40000, loss=0.1837, lr=0.004087, batch_cost=0.5106, reader_cost=0.0001 | ETA 02:05:56 2020-12-17 19:07:03 [INFO] [TRAIN] epoch=39, iter=25210/40000, loss=0.1909, lr=0.004085, batch_cost=0.4873, reader_cost=0.0001 | ETA 02:00:07 2020-12-17 19:07:08 [INFO] [TRAIN] epoch=39, iter=25220/40000, loss=0.2531, lr=0.004082, batch_cost=0.5031, reader_cost=0.0001 | ETA 02:03:55 2020-12-17 19:07:13 [INFO] [TRAIN] epoch=39, iter=25230/40000, loss=0.2261, lr=0.004080, batch_cost=0.4958, reader_cost=0.0001 | ETA 02:02:02 2020-12-17 19:07:18 [INFO] [TRAIN] epoch=39, iter=25240/40000, loss=0.1870, lr=0.004077, batch_cost=0.4965, reader_cost=0.0001 | ETA 02:02:08 2020-12-17 19:07:23 [INFO] [TRAIN] epoch=39, iter=25250/40000, loss=0.3104, lr=0.004075, batch_cost=0.4963, reader_cost=0.0001 | ETA 02:02:00 2020-12-17 19:07:28 [INFO] [TRAIN] epoch=39, iter=25260/40000, loss=0.2246, lr=0.004072, batch_cost=0.4955, reader_cost=0.0001 | ETA 02:01:44 2020-12-17 19:07:32 [INFO] [TRAIN] epoch=39, iter=25270/40000, loss=0.1906, lr=0.004070, batch_cost=0.4843, reader_cost=0.0001 | ETA 01:58:53 2020-12-17 19:07:37 [INFO] [TRAIN] epoch=39, iter=25280/40000, loss=0.2383, lr=0.004067, batch_cost=0.4893, reader_cost=0.0001 | ETA 02:00:02 2020-12-17 19:07:42 [INFO] [TRAIN] epoch=39, iter=25290/40000, loss=0.2632, lr=0.004065, batch_cost=0.5131, reader_cost=0.0001 | ETA 02:05:48 2020-12-17 19:07:47 [INFO] [TRAIN] epoch=39, iter=25300/40000, loss=0.2067, lr=0.004062, batch_cost=0.5001, reader_cost=0.0001 | ETA 02:02:30 2020-12-17 19:07:52 [INFO] [TRAIN] epoch=39, iter=25310/40000, loss=0.2006, lr=0.004060, batch_cost=0.5018, reader_cost=0.0001 | ETA 02:02:51 2020-12-17 19:07:57 [INFO] [TRAIN] epoch=39, iter=25320/40000, loss=0.2629, lr=0.004057, batch_cost=0.4982, reader_cost=0.0001 | ETA 02:01:53 2020-12-17 19:08:02 [INFO] [TRAIN] epoch=39, iter=25330/40000, loss=0.2215, lr=0.004055, batch_cost=0.4999, reader_cost=0.0001 | ETA 02:02:13 2020-12-17 19:08:08 [INFO] [TRAIN] epoch=39, iter=25340/40000, loss=0.2397, lr=0.004052, batch_cost=0.5104, reader_cost=0.0001 | ETA 02:04:42 2020-12-17 19:08:13 [INFO] [TRAIN] epoch=39, iter=25350/40000, loss=0.1781, lr=0.004050, batch_cost=0.5003, reader_cost=0.0001 | ETA 02:02:08 2020-12-17 19:08:18 [INFO] [TRAIN] epoch=39, iter=25360/40000, loss=0.2100, lr=0.004047, batch_cost=0.5059, reader_cost=0.0001 | ETA 02:03:26 2020-12-17 19:08:23 [INFO] [TRAIN] epoch=39, iter=25370/40000, loss=0.2417, lr=0.004045, batch_cost=0.5226, reader_cost=0.0001 | ETA 02:07:26 2020-12-17 19:08:28 [INFO] [TRAIN] epoch=39, iter=25380/40000, loss=0.2147, lr=0.004042, batch_cost=0.5022, reader_cost=0.0001 | ETA 02:02:22 2020-12-17 19:08:33 [INFO] [TRAIN] epoch=39, iter=25390/40000, loss=0.2760, lr=0.004040, batch_cost=0.4978, reader_cost=0.0001 | ETA 02:01:12 2020-12-17 19:08:38 [INFO] [TRAIN] epoch=39, iter=25400/40000, loss=0.3356, lr=0.004037, batch_cost=0.4799, reader_cost=0.0001 | ETA 01:56:47 2020-12-17 19:08:43 [INFO] [TRAIN] epoch=39, iter=25410/40000, loss=0.2542, lr=0.004035, batch_cost=0.5040, reader_cost=0.0001 | ETA 02:02:33 2020-12-17 19:08:48 [INFO] [TRAIN] epoch=39, iter=25420/40000, loss=0.2286, lr=0.004032, batch_cost=0.5084, reader_cost=0.0001 | ETA 02:03:32 2020-12-17 19:08:53 [INFO] [TRAIN] epoch=39, iter=25430/40000, loss=0.2860, lr=0.004030, batch_cost=0.5005, reader_cost=0.0001 | ETA 02:01:32 2020-12-17 19:08:58 [INFO] [TRAIN] epoch=39, iter=25440/40000, loss=0.2268, lr=0.004027, batch_cost=0.5004, reader_cost=0.0001 | ETA 02:01:25 2020-12-17 19:09:03 [INFO] [TRAIN] epoch=39, iter=25450/40000, loss=0.2579, lr=0.004025, batch_cost=0.4900, reader_cost=0.0001 | ETA 01:58:49 2020-12-17 19:09:08 [INFO] [TRAIN] epoch=39, iter=25460/40000, loss=0.2489, lr=0.004022, batch_cost=0.4925, reader_cost=0.0001 | ETA 01:59:21 2020-12-17 19:09:13 [INFO] [TRAIN] epoch=39, iter=25470/40000, loss=0.2164, lr=0.004020, batch_cost=0.5180, reader_cost=0.0001 | ETA 02:05:27 2020-12-17 19:09:18 [INFO] [TRAIN] epoch=39, iter=25480/40000, loss=0.2769, lr=0.004017, batch_cost=0.4965, reader_cost=0.0001 | ETA 02:00:08 2020-12-17 19:09:23 [INFO] [TRAIN] epoch=39, iter=25490/40000, loss=0.2519, lr=0.004015, batch_cost=0.5112, reader_cost=0.0001 | ETA 02:03:37 2020-12-17 19:09:28 [INFO] [TRAIN] epoch=39, iter=25500/40000, loss=0.3453, lr=0.004012, batch_cost=0.5013, reader_cost=0.0001 | ETA 02:01:09 2020-12-17 19:09:33 [INFO] [TRAIN] epoch=39, iter=25510/40000, loss=0.2603, lr=0.004010, batch_cost=0.4905, reader_cost=0.0001 | ETA 01:58:27 2020-12-17 19:09:38 [INFO] [TRAIN] epoch=39, iter=25520/40000, loss=0.2836, lr=0.004007, batch_cost=0.4829, reader_cost=0.0001 | ETA 01:56:32 2020-12-17 19:09:43 [INFO] [TRAIN] epoch=39, iter=25530/40000, loss=0.2298, lr=0.004005, batch_cost=0.4976, reader_cost=0.0001 | ETA 01:59:59 2020-12-17 19:09:48 [INFO] [TRAIN] epoch=39, iter=25540/40000, loss=0.3172, lr=0.004002, batch_cost=0.5001, reader_cost=0.0001 | ETA 02:00:31 2020-12-17 19:09:53 [INFO] [TRAIN] epoch=39, iter=25550/40000, loss=0.2419, lr=0.004000, batch_cost=0.4962, reader_cost=0.0001 | ETA 01:59:29 2020-12-17 19:09:58 [INFO] [TRAIN] epoch=39, iter=25560/40000, loss=0.3166, lr=0.003997, batch_cost=0.5020, reader_cost=0.0001 | ETA 02:00:48 2020-12-17 19:10:03 [INFO] [TRAIN] epoch=39, iter=25570/40000, loss=0.2499, lr=0.003995, batch_cost=0.4910, reader_cost=0.0001 | ETA 01:58:05 2020-12-17 19:10:08 [INFO] [TRAIN] epoch=39, iter=25580/40000, loss=0.2467, lr=0.003992, batch_cost=0.5028, reader_cost=0.0001 | ETA 02:00:50 2020-12-17 19:10:13 [INFO] [TRAIN] epoch=39, iter=25590/40000, loss=0.2392, lr=0.003990, batch_cost=0.5184, reader_cost=0.0001 | ETA 02:04:29 2020-12-17 19:10:18 [INFO] [TRAIN] epoch=39, iter=25600/40000, loss=0.3330, lr=0.003987, batch_cost=0.4963, reader_cost=0.0001 | ETA 01:59:06 2020-12-17 19:10:23 [INFO] [TRAIN] epoch=39, iter=25610/40000, loss=0.2249, lr=0.003985, batch_cost=0.5046, reader_cost=0.0001 | ETA 02:01:01 2020-12-17 19:10:28 [INFO] [TRAIN] epoch=39, iter=25620/40000, loss=0.2649, lr=0.003983, batch_cost=0.5117, reader_cost=0.0001 | ETA 02:02:37 2020-12-17 19:10:33 [INFO] [TRAIN] epoch=39, iter=25630/40000, loss=0.2651, lr=0.003980, batch_cost=0.5090, reader_cost=0.0001 | ETA 02:01:54 2020-12-17 19:10:38 [INFO] [TRAIN] epoch=39, iter=25640/40000, loss=0.2714, lr=0.003978, batch_cost=0.4867, reader_cost=0.0001 | ETA 01:56:28 2020-12-17 19:10:43 [INFO] [TRAIN] epoch=39, iter=25650/40000, loss=0.3035, lr=0.003975, batch_cost=0.5004, reader_cost=0.0001 | ETA 01:59:40 2020-12-17 19:10:48 [INFO] [TRAIN] epoch=39, iter=25660/40000, loss=0.3360, lr=0.003973, batch_cost=0.5067, reader_cost=0.0001 | ETA 02:01:06 2020-12-17 19:10:53 [INFO] [TRAIN] epoch=39, iter=25670/40000, loss=0.2688, lr=0.003970, batch_cost=0.4890, reader_cost=0.0001 | ETA 01:56:47 2020-12-17 19:10:58 [INFO] [TRAIN] epoch=39, iter=25680/40000, loss=0.2959, lr=0.003968, batch_cost=0.4873, reader_cost=0.0001 | ETA 01:56:18 2020-12-17 19:11:03 [INFO] [TRAIN] epoch=39, iter=25690/40000, loss=0.2847, lr=0.003965, batch_cost=0.5001, reader_cost=0.0001 | ETA 01:59:16 2020-12-17 19:11:08 [INFO] [TRAIN] epoch=39, iter=25700/40000, loss=0.3167, lr=0.003963, batch_cost=0.4877, reader_cost=0.0001 | ETA 01:56:14 2020-12-17 19:11:13 [INFO] [TRAIN] epoch=39, iter=25710/40000, loss=0.2407, lr=0.003960, batch_cost=0.4996, reader_cost=0.0001 | ETA 01:58:59 2020-12-17 19:11:18 [INFO] [TRAIN] epoch=39, iter=25720/40000, loss=0.2175, lr=0.003958, batch_cost=0.5021, reader_cost=0.0001 | ETA 01:59:29 2020-12-17 19:11:23 [INFO] [TRAIN] epoch=39, iter=25730/40000, loss=0.2329, lr=0.003955, batch_cost=0.4972, reader_cost=0.0001 | ETA 01:58:14 2020-12-17 19:11:28 [INFO] [TRAIN] epoch=39, iter=25740/40000, loss=0.2301, lr=0.003953, batch_cost=0.4991, reader_cost=0.0001 | ETA 01:58:36 2020-12-17 19:11:33 [INFO] [TRAIN] epoch=39, iter=25750/40000, loss=0.3413, lr=0.003950, batch_cost=0.5005, reader_cost=0.0001 | ETA 01:58:52 2020-12-17 19:11:37 [INFO] [TRAIN] epoch=39, iter=25760/40000, loss=0.3054, lr=0.003948, batch_cost=0.4958, reader_cost=0.0001 | ETA 01:57:40 2020-12-17 19:11:43 [INFO] [TRAIN] epoch=39, iter=25770/40000, loss=0.2378, lr=0.003945, batch_cost=0.5049, reader_cost=0.0001 | ETA 01:59:45 2020-12-17 19:11:47 [INFO] [TRAIN] epoch=40, iter=25780/40000, loss=0.2732, lr=0.003943, batch_cost=0.4794, reader_cost=0.0315 | ETA 01:53:37 2020-12-17 19:11:52 [INFO] [TRAIN] epoch=40, iter=25790/40000, loss=0.2300, lr=0.003940, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:58:20 2020-12-17 19:11:57 [INFO] [TRAIN] epoch=40, iter=25800/40000, loss=0.2482, lr=0.003938, batch_cost=0.5034, reader_cost=0.0001 | ETA 01:59:07 2020-12-17 19:12:02 [INFO] [TRAIN] epoch=40, iter=25810/40000, loss=0.1402, lr=0.003935, batch_cost=0.4932, reader_cost=0.0001 | ETA 01:56:38 2020-12-17 19:12:07 [INFO] [TRAIN] epoch=40, iter=25820/40000, loss=0.2781, lr=0.003933, batch_cost=0.5036, reader_cost=0.0001 | ETA 01:59:00 2020-12-17 19:12:12 [INFO] [TRAIN] epoch=40, iter=25830/40000, loss=0.2723, lr=0.003930, batch_cost=0.4955, reader_cost=0.0001 | ETA 01:57:01 2020-12-17 19:12:17 [INFO] [TRAIN] epoch=40, iter=25840/40000, loss=0.2713, lr=0.003928, batch_cost=0.5032, reader_cost=0.0001 | ETA 01:58:45 2020-12-17 19:12:22 [INFO] [TRAIN] epoch=40, iter=25850/40000, loss=0.2526, lr=0.003925, batch_cost=0.4943, reader_cost=0.0001 | ETA 01:56:34 2020-12-17 19:12:27 [INFO] [TRAIN] epoch=40, iter=25860/40000, loss=0.2216, lr=0.003923, batch_cost=0.5010, reader_cost=0.0001 | ETA 01:58:03 2020-12-17 19:12:32 [INFO] [TRAIN] epoch=40, iter=25870/40000, loss=0.1932, lr=0.003920, batch_cost=0.4941, reader_cost=0.0001 | ETA 01:56:21 2020-12-17 19:12:37 [INFO] [TRAIN] epoch=40, iter=25880/40000, loss=0.2265, lr=0.003918, batch_cost=0.4896, reader_cost=0.0001 | ETA 01:55:12 2020-12-17 19:12:42 [INFO] [TRAIN] epoch=40, iter=25890/40000, loss=0.1855, lr=0.003915, batch_cost=0.4820, reader_cost=0.0001 | ETA 01:53:21 2020-12-17 19:12:47 [INFO] [TRAIN] epoch=40, iter=25900/40000, loss=0.2014, lr=0.003913, batch_cost=0.4817, reader_cost=0.0001 | ETA 01:53:12 2020-12-17 19:12:52 [INFO] [TRAIN] epoch=40, iter=25910/40000, loss=0.2631, lr=0.003910, batch_cost=0.5066, reader_cost=0.0001 | ETA 01:58:58 2020-12-17 19:12:57 [INFO] [TRAIN] epoch=40, iter=25920/40000, loss=0.2739, lr=0.003908, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:56:38 2020-12-17 19:13:02 [INFO] [TRAIN] epoch=40, iter=25930/40000, loss=0.2257, lr=0.003905, batch_cost=0.4906, reader_cost=0.0001 | ETA 01:55:02 2020-12-17 19:13:07 [INFO] [TRAIN] epoch=40, iter=25940/40000, loss=0.2176, lr=0.003903, batch_cost=0.5049, reader_cost=0.0001 | ETA 01:58:19 2020-12-17 19:13:12 [INFO] [TRAIN] epoch=40, iter=25950/40000, loss=0.2238, lr=0.003900, batch_cost=0.5026, reader_cost=0.0001 | ETA 01:57:41 2020-12-17 19:13:17 [INFO] [TRAIN] epoch=40, iter=25960/40000, loss=0.2775, lr=0.003898, batch_cost=0.4856, reader_cost=0.0001 | ETA 01:53:38 2020-12-17 19:13:22 [INFO] [TRAIN] epoch=40, iter=25970/40000, loss=0.2473, lr=0.003895, batch_cost=0.5129, reader_cost=0.0001 | ETA 01:59:56 2020-12-17 19:13:27 [INFO] [TRAIN] epoch=40, iter=25980/40000, loss=0.2124, lr=0.003893, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:56:58 2020-12-17 19:13:32 [INFO] [TRAIN] epoch=40, iter=25990/40000, loss=0.2037, lr=0.003890, batch_cost=0.4923, reader_cost=0.0001 | ETA 01:54:57 2020-12-17 19:13:37 [INFO] [TRAIN] epoch=40, iter=26000/40000, loss=0.2141, lr=0.003888, batch_cost=0.5215, reader_cost=0.0029 | ETA 02:01:41 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:13:37 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 19:13:58 [INFO] [EVAL] #Images=1449 mIoU=0.7860 Acc=0.9525 Kappa=0.8941 2020-12-17 19:13:58 [INFO] [EVAL] Class IoU: [0.9453 0.8674 0.4572 0.8981 0.7113 0.8258 0.9372 0.8773 0.9367 0.4126 0.8925 0.5499 0.896 0.9086 0.8681 0.8686 0.6035 0.8623 0.5187 0.8936 0.7747] 2020-12-17 19:13:58 [INFO] [EVAL] Class Acc: [0.9647 0.9083 0.4819 0.9433 0.8184 0.9088 0.9828 0.9313 0.9591 0.6962 0.9459 0.8756 0.9395 0.9581 0.9227 0.9453 0.8316 0.9489 0.8279 0.9449 0.9607] 2020-12-17 19:14:02 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 23000. 2020-12-17 19:14:07 [INFO] [TRAIN] epoch=40, iter=26010/40000, loss=0.2175, lr=0.003885, batch_cost=0.4994, reader_cost=0.0001 | ETA 01:56:25 2020-12-17 19:14:12 [INFO] [TRAIN] epoch=40, iter=26020/40000, loss=0.2451, lr=0.003883, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:55:49 2020-12-17 19:14:17 [INFO] [TRAIN] epoch=40, iter=26030/40000, loss=0.2494, lr=0.003880, batch_cost=0.5068, reader_cost=0.0001 | ETA 01:58:00 2020-12-17 19:14:22 [INFO] [TRAIN] epoch=40, iter=26040/40000, loss=0.3128, lr=0.003878, batch_cost=0.5147, reader_cost=0.0001 | ETA 01:59:44 2020-12-17 19:14:27 [INFO] [TRAIN] epoch=40, iter=26050/40000, loss=0.2374, lr=0.003875, batch_cost=0.4963, reader_cost=0.0001 | ETA 01:55:23 2020-12-17 19:14:32 [INFO] [TRAIN] epoch=40, iter=26060/40000, loss=0.2424, lr=0.003873, batch_cost=0.5053, reader_cost=0.0001 | ETA 01:57:23 2020-12-17 19:14:37 [INFO] [TRAIN] epoch=40, iter=26070/40000, loss=0.2847, lr=0.003870, batch_cost=0.5033, reader_cost=0.0001 | ETA 01:56:51 2020-12-17 19:14:42 [INFO] [TRAIN] epoch=40, iter=26080/40000, loss=0.1543, lr=0.003868, batch_cost=0.4959, reader_cost=0.0001 | ETA 01:55:02 2020-12-17 19:14:47 [INFO] [TRAIN] epoch=40, iter=26090/40000, loss=0.1896, lr=0.003865, batch_cost=0.4887, reader_cost=0.0001 | ETA 01:53:17 2020-12-17 19:14:52 [INFO] [TRAIN] epoch=40, iter=26100/40000, loss=0.2097, lr=0.003863, batch_cost=0.4974, reader_cost=0.0001 | ETA 01:55:13 2020-12-17 19:14:57 [INFO] [TRAIN] epoch=40, iter=26110/40000, loss=0.1988, lr=0.003860, batch_cost=0.5174, reader_cost=0.0001 | ETA 01:59:46 2020-12-17 19:15:02 [INFO] [TRAIN] epoch=40, iter=26120/40000, loss=0.2048, lr=0.003858, batch_cost=0.5040, reader_cost=0.0001 | ETA 01:56:35 2020-12-17 19:15:07 [INFO] [TRAIN] epoch=40, iter=26130/40000, loss=0.2260, lr=0.003855, batch_cost=0.4965, reader_cost=0.0001 | ETA 01:54:46 2020-12-17 19:15:12 [INFO] [TRAIN] epoch=40, iter=26140/40000, loss=0.2105, lr=0.003853, batch_cost=0.5044, reader_cost=0.0001 | ETA 01:56:31 2020-12-17 19:15:17 [INFO] [TRAIN] epoch=40, iter=26150/40000, loss=0.2400, lr=0.003850, batch_cost=0.5052, reader_cost=0.0001 | ETA 01:56:37 2020-12-17 19:15:22 [INFO] [TRAIN] epoch=40, iter=26160/40000, loss=0.2031, lr=0.003848, batch_cost=0.4907, reader_cost=0.0001 | ETA 01:53:11 2020-12-17 19:15:27 [INFO] [TRAIN] epoch=40, iter=26170/40000, loss=0.2718, lr=0.003845, batch_cost=0.5027, reader_cost=0.0001 | ETA 01:55:52 2020-12-17 19:15:32 [INFO] [TRAIN] epoch=40, iter=26180/40000, loss=0.1831, lr=0.003843, batch_cost=0.5009, reader_cost=0.0001 | ETA 01:55:23 2020-12-17 19:15:37 [INFO] [TRAIN] epoch=40, iter=26190/40000, loss=0.2956, lr=0.003840, batch_cost=0.5024, reader_cost=0.0001 | ETA 01:55:37 2020-12-17 19:15:42 [INFO] [TRAIN] epoch=40, iter=26200/40000, loss=0.1688, lr=0.003838, batch_cost=0.5110, reader_cost=0.0001 | ETA 01:57:31 2020-12-17 19:15:47 [INFO] [TRAIN] epoch=40, iter=26210/40000, loss=0.2024, lr=0.003835, batch_cost=0.4989, reader_cost=0.0001 | ETA 01:54:40 2020-12-17 19:15:52 [INFO] [TRAIN] epoch=40, iter=26220/40000, loss=0.2226, lr=0.003833, batch_cost=0.4925, reader_cost=0.0001 | ETA 01:53:06 2020-12-17 19:15:57 [INFO] [TRAIN] epoch=40, iter=26230/40000, loss=0.1985, lr=0.003830, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:54:04 2020-12-17 19:16:02 [INFO] [TRAIN] epoch=40, iter=26240/40000, loss=0.2557, lr=0.003828, batch_cost=0.5128, reader_cost=0.0001 | ETA 01:57:36 2020-12-17 19:16:07 [INFO] [TRAIN] epoch=40, iter=26250/40000, loss=0.2280, lr=0.003825, batch_cost=0.4987, reader_cost=0.0001 | ETA 01:54:16 2020-12-17 19:16:12 [INFO] [TRAIN] epoch=40, iter=26260/40000, loss=0.2378, lr=0.003823, batch_cost=0.5120, reader_cost=0.0001 | ETA 01:57:14 2020-12-17 19:16:17 [INFO] [TRAIN] epoch=40, iter=26270/40000, loss=0.2287, lr=0.003820, batch_cost=0.5012, reader_cost=0.0001 | ETA 01:54:40 2020-12-17 19:16:22 [INFO] [TRAIN] epoch=40, iter=26280/40000, loss=0.2274, lr=0.003818, batch_cost=0.4947, reader_cost=0.0001 | ETA 01:53:06 2020-12-17 19:16:27 [INFO] [TRAIN] epoch=40, iter=26290/40000, loss=0.2010, lr=0.003815, batch_cost=0.4952, reader_cost=0.0001 | ETA 01:53:08 2020-12-17 19:16:32 [INFO] [TRAIN] epoch=40, iter=26300/40000, loss=0.3148, lr=0.003813, batch_cost=0.4950, reader_cost=0.0001 | ETA 01:53:01 2020-12-17 19:16:37 [INFO] [TRAIN] epoch=40, iter=26310/40000, loss=0.2084, lr=0.003810, batch_cost=0.4956, reader_cost=0.0001 | ETA 01:53:05 2020-12-17 19:16:42 [INFO] [TRAIN] epoch=40, iter=26320/40000, loss=0.2114, lr=0.003808, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:51:24 2020-12-17 19:16:47 [INFO] [TRAIN] epoch=40, iter=26330/40000, loss=0.2168, lr=0.003805, batch_cost=0.4930, reader_cost=0.0001 | ETA 01:52:19 2020-12-17 19:16:52 [INFO] [TRAIN] epoch=40, iter=26340/40000, loss=0.2146, lr=0.003803, batch_cost=0.4975, reader_cost=0.0001 | ETA 01:53:16 2020-12-17 19:16:57 [INFO] [TRAIN] epoch=40, iter=26350/40000, loss=0.2432, lr=0.003800, batch_cost=0.4929, reader_cost=0.0001 | ETA 01:52:08 2020-12-17 19:17:02 [INFO] [TRAIN] epoch=40, iter=26360/40000, loss=0.2905, lr=0.003798, batch_cost=0.5067, reader_cost=0.0001 | ETA 01:55:11 2020-12-17 19:17:07 [INFO] [TRAIN] epoch=40, iter=26370/40000, loss=0.2270, lr=0.003795, batch_cost=0.5319, reader_cost=0.0004 | ETA 02:00:50 2020-12-17 19:17:12 [INFO] [TRAIN] epoch=40, iter=26380/40000, loss=0.1773, lr=0.003793, batch_cost=0.5005, reader_cost=0.0001 | ETA 01:53:36 2020-12-17 19:17:17 [INFO] [TRAIN] epoch=40, iter=26390/40000, loss=0.2078, lr=0.003790, batch_cost=0.4941, reader_cost=0.0001 | ETA 01:52:05 2020-12-17 19:17:22 [INFO] [TRAIN] epoch=40, iter=26400/40000, loss=0.2140, lr=0.003788, batch_cost=0.4930, reader_cost=0.0001 | ETA 01:51:45 2020-12-17 19:17:27 [INFO] [TRAIN] epoch=40, iter=26410/40000, loss=0.2332, lr=0.003785, batch_cost=0.4945, reader_cost=0.0001 | ETA 01:52:00 2020-12-17 19:17:32 [INFO] [TRAIN] epoch=40, iter=26420/40000, loss=0.2044, lr=0.003783, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:52:30 2020-12-17 19:17:37 [INFO] [TRAIN] epoch=40, iter=26430/40000, loss=0.1596, lr=0.003780, batch_cost=0.4922, reader_cost=0.0001 | ETA 01:51:19 2020-12-17 19:17:41 [INFO] [TRAIN] epoch=40, iter=26440/40000, loss=0.2561, lr=0.003778, batch_cost=0.4486, reader_cost=0.0001 | ETA 01:41:22 2020-12-17 19:17:47 [INFO] [TRAIN] epoch=41, iter=26450/40000, loss=0.3089, lr=0.003775, batch_cost=0.5309, reader_cost=0.0329 | ETA 01:59:53 2020-12-17 19:17:52 [INFO] [TRAIN] epoch=41, iter=26460/40000, loss=0.1893, lr=0.003773, batch_cost=0.5127, reader_cost=0.0001 | ETA 01:55:41 2020-12-17 19:17:57 [INFO] [TRAIN] epoch=41, iter=26470/40000, loss=0.2313, lr=0.003770, batch_cost=0.4772, reader_cost=0.0001 | ETA 01:47:36 2020-12-17 19:18:02 [INFO] [TRAIN] epoch=41, iter=26480/40000, loss=0.1828, lr=0.003768, batch_cost=0.4888, reader_cost=0.0001 | ETA 01:50:08 2020-12-17 19:18:07 [INFO] [TRAIN] epoch=41, iter=26490/40000, loss=0.2347, lr=0.003765, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:52:43 2020-12-17 19:18:11 [INFO] [TRAIN] epoch=41, iter=26500/40000, loss=0.2376, lr=0.003762, batch_cost=0.4884, reader_cost=0.0001 | ETA 01:49:53 2020-12-17 19:18:16 [INFO] [TRAIN] epoch=41, iter=26510/40000, loss=0.2568, lr=0.003760, batch_cost=0.4862, reader_cost=0.0001 | ETA 01:49:19 2020-12-17 19:18:21 [INFO] [TRAIN] epoch=41, iter=26520/40000, loss=0.1881, lr=0.003757, batch_cost=0.4937, reader_cost=0.0001 | ETA 01:50:55 2020-12-17 19:18:26 [INFO] [TRAIN] epoch=41, iter=26530/40000, loss=0.3568, lr=0.003755, batch_cost=0.4952, reader_cost=0.0001 | ETA 01:51:10 2020-12-17 19:18:31 [INFO] [TRAIN] epoch=41, iter=26540/40000, loss=0.2140, lr=0.003752, batch_cost=0.5002, reader_cost=0.0001 | ETA 01:52:12 2020-12-17 19:18:36 [INFO] [TRAIN] epoch=41, iter=26550/40000, loss=0.1810, lr=0.003750, batch_cost=0.5038, reader_cost=0.0001 | ETA 01:52:56 2020-12-17 19:18:41 [INFO] [TRAIN] epoch=41, iter=26560/40000, loss=0.2141, lr=0.003747, batch_cost=0.4910, reader_cost=0.0001 | ETA 01:49:58 2020-12-17 19:18:46 [INFO] [TRAIN] epoch=41, iter=26570/40000, loss=0.2319, lr=0.003745, batch_cost=0.4907, reader_cost=0.0001 | ETA 01:49:50 2020-12-17 19:18:51 [INFO] [TRAIN] epoch=41, iter=26580/40000, loss=0.2172, lr=0.003742, batch_cost=0.5082, reader_cost=0.0001 | ETA 01:53:40 2020-12-17 19:18:56 [INFO] [TRAIN] epoch=41, iter=26590/40000, loss=0.2860, lr=0.003740, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:51:40 2020-12-17 19:19:01 [INFO] [TRAIN] epoch=41, iter=26600/40000, loss=0.2099, lr=0.003737, batch_cost=0.5079, reader_cost=0.0001 | ETA 01:53:26 2020-12-17 19:19:06 [INFO] [TRAIN] epoch=41, iter=26610/40000, loss=0.2144, lr=0.003735, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:51:30 2020-12-17 19:19:11 [INFO] [TRAIN] epoch=41, iter=26620/40000, loss=0.1789, lr=0.003732, batch_cost=0.5047, reader_cost=0.0001 | ETA 01:52:32 2020-12-17 19:19:16 [INFO] [TRAIN] epoch=41, iter=26630/40000, loss=0.2119, lr=0.003730, batch_cost=0.4876, reader_cost=0.0001 | ETA 01:48:38 2020-12-17 19:19:21 [INFO] [TRAIN] epoch=41, iter=26640/40000, loss=0.2497, lr=0.003727, batch_cost=0.4928, reader_cost=0.0001 | ETA 01:49:43 2020-12-17 19:19:26 [INFO] [TRAIN] epoch=41, iter=26650/40000, loss=0.2363, lr=0.003725, batch_cost=0.4884, reader_cost=0.0001 | ETA 01:48:40 2020-12-17 19:19:31 [INFO] [TRAIN] epoch=41, iter=26660/40000, loss=0.1772, lr=0.003722, batch_cost=0.4989, reader_cost=0.0001 | ETA 01:50:54 2020-12-17 19:19:36 [INFO] [TRAIN] epoch=41, iter=26670/40000, loss=0.2714, lr=0.003720, batch_cost=0.4800, reader_cost=0.0001 | ETA 01:46:38 2020-12-17 19:19:41 [INFO] [TRAIN] epoch=41, iter=26680/40000, loss=0.3479, lr=0.003717, batch_cost=0.5043, reader_cost=0.0001 | ETA 01:51:57 2020-12-17 19:19:46 [INFO] [TRAIN] epoch=41, iter=26690/40000, loss=0.2026, lr=0.003715, batch_cost=0.5030, reader_cost=0.0001 | ETA 01:51:34 2020-12-17 19:19:51 [INFO] [TRAIN] epoch=41, iter=26700/40000, loss=0.2129, lr=0.003712, batch_cost=0.4918, reader_cost=0.0001 | ETA 01:49:01 2020-12-17 19:19:56 [INFO] [TRAIN] epoch=41, iter=26710/40000, loss=0.2195, lr=0.003710, batch_cost=0.4872, reader_cost=0.0001 | ETA 01:47:55 2020-12-17 19:20:01 [INFO] [TRAIN] epoch=41, iter=26720/40000, loss=0.1972, lr=0.003707, batch_cost=0.5041, reader_cost=0.0001 | ETA 01:51:34 2020-12-17 19:20:06 [INFO] [TRAIN] epoch=41, iter=26730/40000, loss=0.2993, lr=0.003705, batch_cost=0.4894, reader_cost=0.0001 | ETA 01:48:14 2020-12-17 19:20:10 [INFO] [TRAIN] epoch=41, iter=26740/40000, loss=0.2573, lr=0.003702, batch_cost=0.4956, reader_cost=0.0001 | ETA 01:49:31 2020-12-17 19:20:15 [INFO] [TRAIN] epoch=41, iter=26750/40000, loss=0.2148, lr=0.003700, batch_cost=0.4875, reader_cost=0.0001 | ETA 01:47:39 2020-12-17 19:20:20 [INFO] [TRAIN] epoch=41, iter=26760/40000, loss=0.2808, lr=0.003697, batch_cost=0.4931, reader_cost=0.0001 | ETA 01:48:49 2020-12-17 19:20:25 [INFO] [TRAIN] epoch=41, iter=26770/40000, loss=0.2746, lr=0.003695, batch_cost=0.4953, reader_cost=0.0001 | ETA 01:49:12 2020-12-17 19:20:30 [INFO] [TRAIN] epoch=41, iter=26780/40000, loss=0.2979, lr=0.003692, batch_cost=0.5050, reader_cost=0.0001 | ETA 01:51:15 2020-12-17 19:20:35 [INFO] [TRAIN] epoch=41, iter=26790/40000, loss=0.2294, lr=0.003690, batch_cost=0.5000, reader_cost=0.0001 | ETA 01:50:05 2020-12-17 19:20:40 [INFO] [TRAIN] epoch=41, iter=26800/40000, loss=0.3289, lr=0.003687, batch_cost=0.5134, reader_cost=0.0001 | ETA 01:52:56 2020-12-17 19:20:45 [INFO] [TRAIN] epoch=41, iter=26810/40000, loss=0.2430, lr=0.003685, batch_cost=0.5076, reader_cost=0.0001 | ETA 01:51:35 2020-12-17 19:20:51 [INFO] [TRAIN] epoch=41, iter=26820/40000, loss=0.2653, lr=0.003682, batch_cost=0.5047, reader_cost=0.0001 | ETA 01:50:51 2020-12-17 19:20:56 [INFO] [TRAIN] epoch=41, iter=26830/40000, loss=0.1938, lr=0.003680, batch_cost=0.4995, reader_cost=0.0001 | ETA 01:49:37 2020-12-17 19:21:00 [INFO] [TRAIN] epoch=41, iter=26840/40000, loss=0.2043, lr=0.003677, batch_cost=0.4803, reader_cost=0.0001 | ETA 01:45:21 2020-12-17 19:21:05 [INFO] [TRAIN] epoch=41, iter=26850/40000, loss=0.2725, lr=0.003675, batch_cost=0.4987, reader_cost=0.0001 | ETA 01:49:18 2020-12-17 19:21:10 [INFO] [TRAIN] epoch=41, iter=26860/40000, loss=0.2077, lr=0.003672, batch_cost=0.5087, reader_cost=0.0001 | ETA 01:51:24 2020-12-17 19:21:15 [INFO] [TRAIN] epoch=41, iter=26870/40000, loss=0.3113, lr=0.003670, batch_cost=0.4927, reader_cost=0.0001 | ETA 01:47:49 2020-12-17 19:21:20 [INFO] [TRAIN] epoch=41, iter=26880/40000, loss=0.2670, lr=0.003667, batch_cost=0.4932, reader_cost=0.0001 | ETA 01:47:50 2020-12-17 19:21:25 [INFO] [TRAIN] epoch=41, iter=26890/40000, loss=0.2846, lr=0.003665, batch_cost=0.5161, reader_cost=0.0001 | ETA 01:52:46 2020-12-17 19:21:30 [INFO] [TRAIN] epoch=41, iter=26900/40000, loss=0.2759, lr=0.003662, batch_cost=0.4993, reader_cost=0.0001 | ETA 01:49:01 2020-12-17 19:21:35 [INFO] [TRAIN] epoch=41, iter=26910/40000, loss=0.2275, lr=0.003659, batch_cost=0.4875, reader_cost=0.0001 | ETA 01:46:21 2020-12-17 19:21:40 [INFO] [TRAIN] epoch=41, iter=26920/40000, loss=0.2477, lr=0.003657, batch_cost=0.4955, reader_cost=0.0001 | ETA 01:48:00 2020-12-17 19:21:45 [INFO] [TRAIN] epoch=41, iter=26930/40000, loss=0.2803, lr=0.003654, batch_cost=0.4917, reader_cost=0.0001 | ETA 01:47:06 2020-12-17 19:21:50 [INFO] [TRAIN] epoch=41, iter=26940/40000, loss=0.1882, lr=0.003652, batch_cost=0.4943, reader_cost=0.0001 | ETA 01:47:35 2020-12-17 19:21:55 [INFO] [TRAIN] epoch=41, iter=26950/40000, loss=0.1826, lr=0.003649, batch_cost=0.4992, reader_cost=0.0001 | ETA 01:48:34 2020-12-17 19:22:00 [INFO] [TRAIN] epoch=41, iter=26960/40000, loss=0.2030, lr=0.003647, batch_cost=0.4778, reader_cost=0.0001 | ETA 01:43:50 2020-12-17 19:22:05 [INFO] [TRAIN] epoch=41, iter=26970/40000, loss=0.2057, lr=0.003644, batch_cost=0.4852, reader_cost=0.0001 | ETA 01:45:21 2020-12-17 19:22:10 [INFO] [TRAIN] epoch=41, iter=26980/40000, loss=0.1892, lr=0.003642, batch_cost=0.4992, reader_cost=0.0001 | ETA 01:48:18 2020-12-17 19:22:15 [INFO] [TRAIN] epoch=41, iter=26990/40000, loss=0.2277, lr=0.003639, batch_cost=0.4820, reader_cost=0.0001 | ETA 01:44:31 2020-12-17 19:22:20 [INFO] [TRAIN] epoch=41, iter=27000/40000, loss=0.1974, lr=0.003637, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:48:15 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:22:20 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 19:22:40 [INFO] [EVAL] #Images=1449 mIoU=0.7810 Acc=0.9508 Kappa=0.8903 2020-12-17 19:22:40 [INFO] [EVAL] Class IoU: [0.9438 0.8916 0.4312 0.9135 0.6847 0.8424 0.9534 0.8891 0.9358 0.4422 0.8872 0.4591 0.8915 0.9092 0.8698 0.8705 0.6188 0.8528 0.4432 0.8994 0.7725] 2020-12-17 19:22:40 [INFO] [EVAL] Class Acc: [0.9635 0.9401 0.448 0.9592 0.8235 0.8985 0.9788 0.9527 0.9614 0.6001 0.9474 0.9624 0.9339 0.9503 0.9341 0.9433 0.8456 0.9334 0.8126 0.9579 0.9531] 2020-12-17 19:22:44 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 23000. 2020-12-17 19:22:49 [INFO] [TRAIN] epoch=41, iter=27010/40000, loss=0.2181, lr=0.003634, batch_cost=0.4875, reader_cost=0.0001 | ETA 01:45:32 2020-12-17 19:22:54 [INFO] [TRAIN] epoch=41, iter=27020/40000, loss=0.2592, lr=0.003632, batch_cost=0.4936, reader_cost=0.0001 | ETA 01:46:46 2020-12-17 19:22:59 [INFO] [TRAIN] epoch=41, iter=27030/40000, loss=0.3158, lr=0.003629, batch_cost=0.4973, reader_cost=0.0001 | ETA 01:47:30 2020-12-17 19:23:04 [INFO] [TRAIN] epoch=41, iter=27040/40000, loss=0.2014, lr=0.003627, batch_cost=0.4851, reader_cost=0.0001 | ETA 01:44:47 2020-12-17 19:23:09 [INFO] [TRAIN] epoch=41, iter=27050/40000, loss=0.2212, lr=0.003624, batch_cost=0.4709, reader_cost=0.0001 | ETA 01:41:38 2020-12-17 19:23:14 [INFO] [TRAIN] epoch=41, iter=27060/40000, loss=0.2722, lr=0.003622, batch_cost=0.4930, reader_cost=0.0001 | ETA 01:46:19 2020-12-17 19:23:18 [INFO] [TRAIN] epoch=41, iter=27070/40000, loss=0.1971, lr=0.003619, batch_cost=0.4891, reader_cost=0.0001 | ETA 01:45:24 2020-12-17 19:23:23 [INFO] [TRAIN] epoch=41, iter=27080/40000, loss=0.2528, lr=0.003617, batch_cost=0.5032, reader_cost=0.0001 | ETA 01:48:20 2020-12-17 19:23:28 [INFO] [TRAIN] epoch=41, iter=27090/40000, loss=0.2663, lr=0.003614, batch_cost=0.4892, reader_cost=0.0001 | ETA 01:45:15 2020-12-17 19:23:33 [INFO] [TRAIN] epoch=41, iter=27100/40000, loss=0.2250, lr=0.003612, batch_cost=0.4515, reader_cost=0.0001 | ETA 01:37:03 2020-12-17 19:23:38 [INFO] [TRAIN] epoch=42, iter=27110/40000, loss=0.2228, lr=0.003609, batch_cost=0.5077, reader_cost=0.0324 | ETA 01:49:04 2020-12-17 19:23:43 [INFO] [TRAIN] epoch=42, iter=27120/40000, loss=0.1846, lr=0.003607, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:47:16 2020-12-17 19:23:48 [INFO] [TRAIN] epoch=42, iter=27130/40000, loss=0.2092, lr=0.003604, batch_cost=0.4770, reader_cost=0.0001 | ETA 01:42:19 2020-12-17 19:23:53 [INFO] [TRAIN] epoch=42, iter=27140/40000, loss=0.2136, lr=0.003602, batch_cost=0.4867, reader_cost=0.0001 | ETA 01:44:18 2020-12-17 19:23:58 [INFO] [TRAIN] epoch=42, iter=27150/40000, loss=0.2090, lr=0.003599, batch_cost=0.4977, reader_cost=0.0001 | ETA 01:46:35 2020-12-17 19:24:02 [INFO] [TRAIN] epoch=42, iter=27160/40000, loss=0.2333, lr=0.003597, batch_cost=0.4936, reader_cost=0.0001 | ETA 01:45:37 2020-12-17 19:24:08 [INFO] [TRAIN] epoch=42, iter=27170/40000, loss=0.3278, lr=0.003594, batch_cost=0.5241, reader_cost=0.0001 | ETA 01:52:03 2020-12-17 19:24:13 [INFO] [TRAIN] epoch=42, iter=27180/40000, loss=0.2651, lr=0.003591, batch_cost=0.5071, reader_cost=0.0001 | ETA 01:48:20 2020-12-17 19:24:18 [INFO] [TRAIN] epoch=42, iter=27190/40000, loss=0.2102, lr=0.003589, batch_cost=0.4812, reader_cost=0.0001 | ETA 01:42:44 2020-12-17 19:24:23 [INFO] [TRAIN] epoch=42, iter=27200/40000, loss=0.2130, lr=0.003586, batch_cost=0.5024, reader_cost=0.0001 | ETA 01:47:10 2020-12-17 19:24:28 [INFO] [TRAIN] epoch=42, iter=27210/40000, loss=0.2701, lr=0.003584, batch_cost=0.4979, reader_cost=0.0001 | ETA 01:46:07 2020-12-17 19:24:33 [INFO] [TRAIN] epoch=42, iter=27220/40000, loss=0.2538, lr=0.003581, batch_cost=0.4942, reader_cost=0.0001 | ETA 01:45:16 2020-12-17 19:24:38 [INFO] [TRAIN] epoch=42, iter=27230/40000, loss=0.1983, lr=0.003579, batch_cost=0.5030, reader_cost=0.0001 | ETA 01:47:02 2020-12-17 19:24:43 [INFO] [TRAIN] epoch=42, iter=27240/40000, loss=0.2668, lr=0.003576, batch_cost=0.4993, reader_cost=0.0001 | ETA 01:46:11 2020-12-17 19:24:48 [INFO] [TRAIN] epoch=42, iter=27250/40000, loss=0.2237, lr=0.003574, batch_cost=0.5119, reader_cost=0.0001 | ETA 01:48:46 2020-12-17 19:24:53 [INFO] [TRAIN] epoch=42, iter=27260/40000, loss=0.2346, lr=0.003571, batch_cost=0.5164, reader_cost=0.0001 | ETA 01:49:38 2020-12-17 19:24:58 [INFO] [TRAIN] epoch=42, iter=27270/40000, loss=0.3016, lr=0.003569, batch_cost=0.5023, reader_cost=0.0005 | ETA 01:46:34 2020-12-17 19:25:03 [INFO] [TRAIN] epoch=42, iter=27280/40000, loss=0.2392, lr=0.003566, batch_cost=0.4887, reader_cost=0.0001 | ETA 01:43:36 2020-12-17 19:25:08 [INFO] [TRAIN] epoch=42, iter=27290/40000, loss=0.2625, lr=0.003564, batch_cost=0.4982, reader_cost=0.0001 | ETA 01:45:32 2020-12-17 19:25:13 [INFO] [TRAIN] epoch=42, iter=27300/40000, loss=0.2260, lr=0.003561, batch_cost=0.4975, reader_cost=0.0001 | ETA 01:45:17 2020-12-17 19:25:18 [INFO] [TRAIN] epoch=42, iter=27310/40000, loss=0.2664, lr=0.003559, batch_cost=0.4942, reader_cost=0.0001 | ETA 01:44:31 2020-12-17 19:25:22 [INFO] [TRAIN] epoch=42, iter=27320/40000, loss=0.2375, lr=0.003556, batch_cost=0.4806, reader_cost=0.0001 | ETA 01:41:34 2020-12-17 19:25:27 [INFO] [TRAIN] epoch=42, iter=27330/40000, loss=0.2478, lr=0.003554, batch_cost=0.4916, reader_cost=0.0001 | ETA 01:43:48 2020-12-17 19:25:32 [INFO] [TRAIN] epoch=42, iter=27340/40000, loss=0.1881, lr=0.003551, batch_cost=0.4863, reader_cost=0.0001 | ETA 01:42:37 2020-12-17 19:25:37 [INFO] [TRAIN] epoch=42, iter=27350/40000, loss=0.2463, lr=0.003549, batch_cost=0.4910, reader_cost=0.0001 | ETA 01:43:31 2020-12-17 19:25:42 [INFO] [TRAIN] epoch=42, iter=27360/40000, loss=0.2093, lr=0.003546, batch_cost=0.4942, reader_cost=0.0001 | ETA 01:44:06 2020-12-17 19:25:47 [INFO] [TRAIN] epoch=42, iter=27370/40000, loss=0.1943, lr=0.003544, batch_cost=0.4888, reader_cost=0.0001 | ETA 01:42:53 2020-12-17 19:25:52 [INFO] [TRAIN] epoch=42, iter=27380/40000, loss=0.2655, lr=0.003541, batch_cost=0.4951, reader_cost=0.0004 | ETA 01:44:08 2020-12-17 19:25:57 [INFO] [TRAIN] epoch=42, iter=27390/40000, loss=0.1672, lr=0.003539, batch_cost=0.4801, reader_cost=0.0001 | ETA 01:40:54 2020-12-17 19:26:02 [INFO] [TRAIN] epoch=42, iter=27400/40000, loss=0.2145, lr=0.003536, batch_cost=0.4990, reader_cost=0.0001 | ETA 01:44:47 2020-12-17 19:26:07 [INFO] [TRAIN] epoch=42, iter=27410/40000, loss=0.2134, lr=0.003533, batch_cost=0.4910, reader_cost=0.0004 | ETA 01:43:02 2020-12-17 19:26:12 [INFO] [TRAIN] epoch=42, iter=27420/40000, loss=0.1918, lr=0.003531, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:42:26 2020-12-17 19:26:16 [INFO] [TRAIN] epoch=42, iter=27430/40000, loss=0.3125, lr=0.003528, batch_cost=0.4885, reader_cost=0.0080 | ETA 01:42:20 2020-12-17 19:26:21 [INFO] [TRAIN] epoch=42, iter=27440/40000, loss=0.1799, lr=0.003526, batch_cost=0.4861, reader_cost=0.0001 | ETA 01:41:45 2020-12-17 19:26:26 [INFO] [TRAIN] epoch=42, iter=27450/40000, loss=0.2754, lr=0.003523, batch_cost=0.4832, reader_cost=0.0001 | ETA 01:41:04 2020-12-17 19:26:31 [INFO] [TRAIN] epoch=42, iter=27460/40000, loss=0.2531, lr=0.003521, batch_cost=0.4887, reader_cost=0.0001 | ETA 01:42:07 2020-12-17 19:26:36 [INFO] [TRAIN] epoch=42, iter=27470/40000, loss=0.1796, lr=0.003518, batch_cost=0.4998, reader_cost=0.0004 | ETA 01:44:22 2020-12-17 19:26:41 [INFO] [TRAIN] epoch=42, iter=27480/40000, loss=0.2376, lr=0.003516, batch_cost=0.5035, reader_cost=0.0001 | ETA 01:45:03 2020-12-17 19:26:46 [INFO] [TRAIN] epoch=42, iter=27490/40000, loss=0.2541, lr=0.003513, batch_cost=0.4959, reader_cost=0.0001 | ETA 01:43:23 2020-12-17 19:26:51 [INFO] [TRAIN] epoch=42, iter=27500/40000, loss=0.3359, lr=0.003511, batch_cost=0.4993, reader_cost=0.0001 | ETA 01:44:00 2020-12-17 19:26:56 [INFO] [TRAIN] epoch=42, iter=27510/40000, loss=0.2097, lr=0.003508, batch_cost=0.4885, reader_cost=0.0001 | ETA 01:41:41 2020-12-17 19:27:01 [INFO] [TRAIN] epoch=42, iter=27520/40000, loss=0.1950, lr=0.003506, batch_cost=0.5003, reader_cost=0.0001 | ETA 01:44:04 2020-12-17 19:27:06 [INFO] [TRAIN] epoch=42, iter=27530/40000, loss=0.2271, lr=0.003503, batch_cost=0.4950, reader_cost=0.0001 | ETA 01:42:52 2020-12-17 19:27:11 [INFO] [TRAIN] epoch=42, iter=27540/40000, loss=0.2417, lr=0.003501, batch_cost=0.4888, reader_cost=0.0001 | ETA 01:41:30 2020-12-17 19:27:16 [INFO] [TRAIN] epoch=42, iter=27550/40000, loss=0.1990, lr=0.003498, batch_cost=0.4895, reader_cost=0.0001 | ETA 01:41:34 2020-12-17 19:27:21 [INFO] [TRAIN] epoch=42, iter=27560/40000, loss=0.1806, lr=0.003496, batch_cost=0.4868, reader_cost=0.0001 | ETA 01:40:56 2020-12-17 19:27:26 [INFO] [TRAIN] epoch=42, iter=27570/40000, loss=0.2517, lr=0.003493, batch_cost=0.5042, reader_cost=0.0001 | ETA 01:44:27 2020-12-17 19:27:31 [INFO] [TRAIN] epoch=42, iter=27580/40000, loss=0.2296, lr=0.003490, batch_cost=0.4953, reader_cost=0.0001 | ETA 01:42:31 2020-12-17 19:27:36 [INFO] [TRAIN] epoch=42, iter=27590/40000, loss=0.2060, lr=0.003488, batch_cost=0.5047, reader_cost=0.0001 | ETA 01:44:23 2020-12-17 19:27:41 [INFO] [TRAIN] epoch=42, iter=27600/40000, loss=0.2536, lr=0.003485, batch_cost=0.5065, reader_cost=0.0001 | ETA 01:44:40 2020-12-17 19:27:46 [INFO] [TRAIN] epoch=42, iter=27610/40000, loss=0.2280, lr=0.003483, batch_cost=0.4970, reader_cost=0.0001 | ETA 01:42:38 2020-12-17 19:27:51 [INFO] [TRAIN] epoch=42, iter=27620/40000, loss=0.1908, lr=0.003480, batch_cost=0.4945, reader_cost=0.0001 | ETA 01:42:01 2020-12-17 19:27:55 [INFO] [TRAIN] epoch=42, iter=27630/40000, loss=0.2985, lr=0.003478, batch_cost=0.4837, reader_cost=0.0001 | ETA 01:39:43 2020-12-17 19:28:00 [INFO] [TRAIN] epoch=42, iter=27640/40000, loss=0.2152, lr=0.003475, batch_cost=0.4990, reader_cost=0.0001 | ETA 01:42:48 2020-12-17 19:28:05 [INFO] [TRAIN] epoch=42, iter=27650/40000, loss=0.2195, lr=0.003473, batch_cost=0.4894, reader_cost=0.0001 | ETA 01:40:43 2020-12-17 19:28:10 [INFO] [TRAIN] epoch=42, iter=27660/40000, loss=0.2728, lr=0.003470, batch_cost=0.4916, reader_cost=0.0001 | ETA 01:41:06 2020-12-17 19:28:15 [INFO] [TRAIN] epoch=42, iter=27670/40000, loss=0.2858, lr=0.003468, batch_cost=0.4973, reader_cost=0.0001 | ETA 01:42:11 2020-12-17 19:28:20 [INFO] [TRAIN] epoch=42, iter=27680/40000, loss=0.2285, lr=0.003465, batch_cost=0.5092, reader_cost=0.0001 | ETA 01:44:33 2020-12-17 19:28:25 [INFO] [TRAIN] epoch=42, iter=27690/40000, loss=0.2627, lr=0.003463, batch_cost=0.5139, reader_cost=0.0001 | ETA 01:45:26 2020-12-17 19:28:30 [INFO] [TRAIN] epoch=42, iter=27700/40000, loss=0.2274, lr=0.003460, batch_cost=0.5105, reader_cost=0.0001 | ETA 01:44:38 2020-12-17 19:28:35 [INFO] [TRAIN] epoch=42, iter=27710/40000, loss=0.2102, lr=0.003458, batch_cost=0.4950, reader_cost=0.0001 | ETA 01:41:23 2020-12-17 19:28:40 [INFO] [TRAIN] epoch=42, iter=27720/40000, loss=0.2292, lr=0.003455, batch_cost=0.4888, reader_cost=0.0001 | ETA 01:40:01 2020-12-17 19:28:45 [INFO] [TRAIN] epoch=42, iter=27730/40000, loss=0.2316, lr=0.003453, batch_cost=0.4777, reader_cost=0.0001 | ETA 01:37:41 2020-12-17 19:28:50 [INFO] [TRAIN] epoch=42, iter=27740/40000, loss=0.2527, lr=0.003450, batch_cost=0.4879, reader_cost=0.0001 | ETA 01:39:41 2020-12-17 19:28:55 [INFO] [TRAIN] epoch=42, iter=27750/40000, loss=0.2498, lr=0.003447, batch_cost=0.4898, reader_cost=0.0001 | ETA 01:39:59 2020-12-17 19:29:00 [INFO] [TRAIN] epoch=42, iter=27760/40000, loss=0.2763, lr=0.003445, batch_cost=0.4630, reader_cost=0.0001 | ETA 01:34:27 2020-12-17 19:29:04 [INFO] [TRAIN] epoch=43, iter=27770/40000, loss=0.2146, lr=0.003442, batch_cost=0.4939, reader_cost=0.0273 | ETA 01:40:40 2020-12-17 19:29:09 [INFO] [TRAIN] epoch=43, iter=27780/40000, loss=0.2710, lr=0.003440, batch_cost=0.4922, reader_cost=0.0001 | ETA 01:40:14 2020-12-17 19:29:14 [INFO] [TRAIN] epoch=43, iter=27790/40000, loss=0.1982, lr=0.003437, batch_cost=0.4963, reader_cost=0.0001 | ETA 01:40:59 2020-12-17 19:29:19 [INFO] [TRAIN] epoch=43, iter=27800/40000, loss=0.2350, lr=0.003435, batch_cost=0.5160, reader_cost=0.0001 | ETA 01:44:54 2020-12-17 19:29:24 [INFO] [TRAIN] epoch=43, iter=27810/40000, loss=0.2276, lr=0.003432, batch_cost=0.4928, reader_cost=0.0001 | ETA 01:40:06 2020-12-17 19:29:29 [INFO] [TRAIN] epoch=43, iter=27820/40000, loss=0.2150, lr=0.003430, batch_cost=0.4973, reader_cost=0.0001 | ETA 01:40:57 2020-12-17 19:29:34 [INFO] [TRAIN] epoch=43, iter=27830/40000, loss=0.1965, lr=0.003427, batch_cost=0.5013, reader_cost=0.0001 | ETA 01:41:41 2020-12-17 19:29:39 [INFO] [TRAIN] epoch=43, iter=27840/40000, loss=0.1835, lr=0.003425, batch_cost=0.4932, reader_cost=0.0001 | ETA 01:39:57 2020-12-17 19:29:44 [INFO] [TRAIN] epoch=43, iter=27850/40000, loss=0.1989, lr=0.003422, batch_cost=0.4990, reader_cost=0.0001 | ETA 01:41:02 2020-12-17 19:29:49 [INFO] [TRAIN] epoch=43, iter=27860/40000, loss=0.2508, lr=0.003420, batch_cost=0.4948, reader_cost=0.0001 | ETA 01:40:06 2020-12-17 19:29:54 [INFO] [TRAIN] epoch=43, iter=27870/40000, loss=0.2534, lr=0.003417, batch_cost=0.4739, reader_cost=0.0001 | ETA 01:35:48 2020-12-17 19:29:59 [INFO] [TRAIN] epoch=43, iter=27880/40000, loss=0.2157, lr=0.003415, batch_cost=0.4985, reader_cost=0.0001 | ETA 01:40:41 2020-12-17 19:30:04 [INFO] [TRAIN] epoch=43, iter=27890/40000, loss=0.2200, lr=0.003412, batch_cost=0.4871, reader_cost=0.0001 | ETA 01:38:18 2020-12-17 19:30:09 [INFO] [TRAIN] epoch=43, iter=27900/40000, loss=0.2374, lr=0.003409, batch_cost=0.4895, reader_cost=0.0001 | ETA 01:38:43 2020-12-17 19:30:14 [INFO] [TRAIN] epoch=43, iter=27910/40000, loss=0.2542, lr=0.003407, batch_cost=0.5105, reader_cost=0.0001 | ETA 01:42:51 2020-12-17 19:30:19 [INFO] [TRAIN] epoch=43, iter=27920/40000, loss=0.2475, lr=0.003404, batch_cost=0.4972, reader_cost=0.0001 | ETA 01:40:06 2020-12-17 19:30:24 [INFO] [TRAIN] epoch=43, iter=27930/40000, loss=0.2425, lr=0.003402, batch_cost=0.4934, reader_cost=0.0001 | ETA 01:39:15 2020-12-17 19:30:29 [INFO] [TRAIN] epoch=43, iter=27940/40000, loss=0.2270, lr=0.003399, batch_cost=0.5017, reader_cost=0.0001 | ETA 01:40:50 2020-12-17 19:30:34 [INFO] [TRAIN] epoch=43, iter=27950/40000, loss=0.1840, lr=0.003397, batch_cost=0.4858, reader_cost=0.0001 | ETA 01:37:34 2020-12-17 19:30:38 [INFO] [TRAIN] epoch=43, iter=27960/40000, loss=0.2498, lr=0.003394, batch_cost=0.4815, reader_cost=0.0001 | ETA 01:36:37 2020-12-17 19:30:43 [INFO] [TRAIN] epoch=43, iter=27970/40000, loss=0.2204, lr=0.003392, batch_cost=0.4775, reader_cost=0.0001 | ETA 01:35:44 2020-12-17 19:30:48 [INFO] [TRAIN] epoch=43, iter=27980/40000, loss=0.2203, lr=0.003389, batch_cost=0.4887, reader_cost=0.0001 | ETA 01:37:53 2020-12-17 19:30:53 [INFO] [TRAIN] epoch=43, iter=27990/40000, loss=0.2864, lr=0.003387, batch_cost=0.4834, reader_cost=0.0001 | ETA 01:36:45 2020-12-17 19:30:58 [INFO] [TRAIN] epoch=43, iter=28000/40000, loss=0.2592, lr=0.003384, batch_cost=0.5104, reader_cost=0.0001 | ETA 01:42:04 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:30:58 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 19:31:18 [INFO] [EVAL] #Images=1449 mIoU=0.7860 Acc=0.9516 Kappa=0.8922 2020-12-17 19:31:18 [INFO] [EVAL] Class IoU: [0.9442 0.886 0.4342 0.8875 0.7066 0.8389 0.9504 0.8888 0.9411 0.3933 0.9095 0.51 0.9001 0.9056 0.8638 0.8675 0.6399 0.8859 0.4624 0.907 0.7829] 2020-12-17 19:31:18 [INFO] [EVAL] Class Acc: [0.9642 0.9152 0.4523 0.9279 0.8156 0.8972 0.9825 0.9458 0.9641 0.629 0.972 0.9659 0.9374 0.9587 0.9301 0.9501 0.7848 0.934 0.7835 0.9566 0.9402] 2020-12-17 19:31:22 [INFO] [EVAL] The model with the best validation mIoU (0.7911) was saved at iter 23000. 2020-12-17 19:31:27 [INFO] [TRAIN] epoch=43, iter=28010/40000, loss=0.2415, lr=0.003382, batch_cost=0.4905, reader_cost=0.0001 | ETA 01:38:00 2020-12-17 19:31:32 [INFO] [TRAIN] epoch=43, iter=28020/40000, loss=0.2101, lr=0.003379, batch_cost=0.5043, reader_cost=0.0001 | ETA 01:40:41 2020-12-17 19:31:37 [INFO] [TRAIN] epoch=43, iter=28030/40000, loss=0.2130, lr=0.003376, batch_cost=0.5035, reader_cost=0.0001 | ETA 01:40:26 2020-12-17 19:31:42 [INFO] [TRAIN] epoch=43, iter=28040/40000, loss=0.2261, lr=0.003374, batch_cost=0.4857, reader_cost=0.0001 | ETA 01:36:48 2020-12-17 19:31:47 [INFO] [TRAIN] epoch=43, iter=28050/40000, loss=0.2169, lr=0.003371, batch_cost=0.4891, reader_cost=0.0001 | ETA 01:37:25 2020-12-17 19:31:52 [INFO] [TRAIN] epoch=43, iter=28060/40000, loss=0.2774, lr=0.003369, batch_cost=0.4968, reader_cost=0.0001 | ETA 01:38:51 2020-12-17 19:31:57 [INFO] [TRAIN] epoch=43, iter=28070/40000, loss=0.1748, lr=0.003366, batch_cost=0.4974, reader_cost=0.0001 | ETA 01:38:54 2020-12-17 19:32:01 [INFO] [TRAIN] epoch=43, iter=28080/40000, loss=0.1813, lr=0.003364, batch_cost=0.4807, reader_cost=0.0001 | ETA 01:35:30 2020-12-17 19:32:07 [INFO] [TRAIN] epoch=43, iter=28090/40000, loss=0.2325, lr=0.003361, batch_cost=0.5270, reader_cost=0.0002 | ETA 01:44:36 2020-12-17 19:32:12 [INFO] [TRAIN] epoch=43, iter=28100/40000, loss=0.2888, lr=0.003359, batch_cost=0.4951, reader_cost=0.0001 | ETA 01:38:11 2020-12-17 19:32:17 [INFO] [TRAIN] epoch=43, iter=28110/40000, loss=0.2781, lr=0.003356, batch_cost=0.5069, reader_cost=0.0001 | ETA 01:40:26 2020-12-17 19:32:22 [INFO] [TRAIN] epoch=43, iter=28120/40000, loss=0.3085, lr=0.003354, batch_cost=0.4896, reader_cost=0.0001 | ETA 01:36:56 2020-12-17 19:32:27 [INFO] [TRAIN] epoch=43, iter=28130/40000, loss=0.2080, lr=0.003351, batch_cost=0.5144, reader_cost=0.0019 | ETA 01:41:46 2020-12-17 19:32:32 [INFO] [TRAIN] epoch=43, iter=28140/40000, loss=0.2204, lr=0.003349, batch_cost=0.5025, reader_cost=0.0001 | ETA 01:39:20 2020-12-17 19:32:37 [INFO] [TRAIN] epoch=43, iter=28150/40000, loss=0.2712, lr=0.003346, batch_cost=0.4821, reader_cost=0.0001 | ETA 01:35:13 2020-12-17 19:32:42 [INFO] [TRAIN] epoch=43, iter=28160/40000, loss=0.2424, lr=0.003343, batch_cost=0.4948, reader_cost=0.0001 | ETA 01:37:38 2020-12-17 19:32:46 [INFO] [TRAIN] epoch=43, iter=28170/40000, loss=0.3130, lr=0.003341, batch_cost=0.4935, reader_cost=0.0001 | ETA 01:37:18 2020-12-17 19:32:51 [INFO] [TRAIN] epoch=43, iter=28180/40000, loss=0.1912, lr=0.003338, batch_cost=0.5023, reader_cost=0.0001 | ETA 01:38:57 2020-12-17 19:32:56 [INFO] [TRAIN] epoch=43, iter=28190/40000, loss=0.2513, lr=0.003336, batch_cost=0.4967, reader_cost=0.0001 | ETA 01:37:45 2020-12-17 19:33:01 [INFO] [TRAIN] epoch=43, iter=28200/40000, loss=0.1930, lr=0.003333, batch_cost=0.4954, reader_cost=0.0001 | ETA 01:37:26 2020-12-17 19:33:06 [INFO] [TRAIN] epoch=43, iter=28210/40000, loss=0.1928, lr=0.003331, batch_cost=0.4845, reader_cost=0.0001 | ETA 01:35:12 2020-12-17 19:33:11 [INFO] [TRAIN] epoch=43, iter=28220/40000, loss=0.2222, lr=0.003328, batch_cost=0.4890, reader_cost=0.0001 | ETA 01:36:00 2020-12-17 19:33:16 [INFO] [TRAIN] epoch=43, iter=28230/40000, loss=0.2244, lr=0.003326, batch_cost=0.4825, reader_cost=0.0001 | ETA 01:34:38 2020-12-17 19:33:21 [INFO] [TRAIN] epoch=43, iter=28240/40000, loss=0.1932, lr=0.003323, batch_cost=0.5009, reader_cost=0.0001 | ETA 01:38:10 2020-12-17 19:33:26 [INFO] [TRAIN] epoch=43, iter=28250/40000, loss=0.1795, lr=0.003321, batch_cost=0.4726, reader_cost=0.0001 | ETA 01:32:32 2020-12-17 19:33:31 [INFO] [TRAIN] epoch=43, iter=28260/40000, loss=0.2287, lr=0.003318, batch_cost=0.5046, reader_cost=0.0001 | ETA 01:38:44 2020-12-17 19:33:36 [INFO] [TRAIN] epoch=43, iter=28270/40000, loss=0.2067, lr=0.003315, batch_cost=0.5015, reader_cost=0.0001 | ETA 01:38:02 2020-12-17 19:33:41 [INFO] [TRAIN] epoch=43, iter=28280/40000, loss=0.2146, lr=0.003313, batch_cost=0.4893, reader_cost=0.0001 | ETA 01:35:34 2020-12-17 19:33:46 [INFO] [TRAIN] epoch=43, iter=28290/40000, loss=0.2350, lr=0.003310, batch_cost=0.4881, reader_cost=0.0001 | ETA 01:35:15 2020-12-17 19:33:51 [INFO] [TRAIN] epoch=43, iter=28300/40000, loss=0.2268, lr=0.003308, batch_cost=0.5002, reader_cost=0.0001 | ETA 01:37:32 2020-12-17 19:33:55 [INFO] [TRAIN] epoch=43, iter=28310/40000, loss=0.2787, lr=0.003305, batch_cost=0.4926, reader_cost=0.0001 | ETA 01:35:58 2020-12-17 19:34:00 [INFO] [TRAIN] epoch=43, iter=28320/40000, loss=0.1844, lr=0.003303, batch_cost=0.5022, reader_cost=0.0001 | ETA 01:37:45 2020-12-17 19:34:05 [INFO] [TRAIN] epoch=43, iter=28330/40000, loss=0.2477, lr=0.003300, batch_cost=0.4936, reader_cost=0.0001 | ETA 01:36:00 2020-12-17 19:34:10 [INFO] [TRAIN] epoch=43, iter=28340/40000, loss=0.3133, lr=0.003298, batch_cost=0.4916, reader_cost=0.0001 | ETA 01:35:32 2020-12-17 19:34:15 [INFO] [TRAIN] epoch=43, iter=28350/40000, loss=0.3127, lr=0.003295, batch_cost=0.4912, reader_cost=0.0001 | ETA 01:35:22 2020-12-17 19:34:20 [INFO] [TRAIN] epoch=43, iter=28360/40000, loss=0.1836, lr=0.003293, batch_cost=0.5071, reader_cost=0.0001 | ETA 01:38:22 2020-12-17 19:34:25 [INFO] [TRAIN] epoch=43, iter=28370/40000, loss=0.2643, lr=0.003290, batch_cost=0.5023, reader_cost=0.0001 | ETA 01:37:21 2020-12-17 19:34:30 [INFO] [TRAIN] epoch=43, iter=28380/40000, loss=0.2148, lr=0.003287, batch_cost=0.5041, reader_cost=0.0001 | ETA 01:37:37 2020-12-17 19:34:35 [INFO] [TRAIN] epoch=43, iter=28390/40000, loss=0.2303, lr=0.003285, batch_cost=0.5008, reader_cost=0.0001 | ETA 01:36:54 2020-12-17 19:34:40 [INFO] [TRAIN] epoch=43, iter=28400/40000, loss=0.2599, lr=0.003282, batch_cost=0.5051, reader_cost=0.0001 | ETA 01:37:39 2020-12-17 19:34:45 [INFO] [TRAIN] epoch=43, iter=28410/40000, loss=0.1759, lr=0.003280, batch_cost=0.4925, reader_cost=0.0001 | ETA 01:35:07 2020-12-17 19:34:50 [INFO] [TRAIN] epoch=43, iter=28420/40000, loss=0.2440, lr=0.003277, batch_cost=0.4788, reader_cost=0.0001 | ETA 01:32:25 2020-12-17 19:34:55 [INFO] [TRAIN] epoch=44, iter=28430/40000, loss=0.2515, lr=0.003275, batch_cost=0.4941, reader_cost=0.0287 | ETA 01:35:17 2020-12-17 19:35:00 [INFO] [TRAIN] epoch=44, iter=28440/40000, loss=0.2143, lr=0.003272, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:36:27 2020-12-17 19:35:05 [INFO] [TRAIN] epoch=44, iter=28450/40000, loss=0.1807, lr=0.003270, batch_cost=0.5011, reader_cost=0.0001 | ETA 01:36:28 2020-12-17 19:35:10 [INFO] [TRAIN] epoch=44, iter=28460/40000, loss=0.2702, lr=0.003267, batch_cost=0.4864, reader_cost=0.0001 | ETA 01:33:33 2020-12-17 19:35:15 [INFO] [TRAIN] epoch=44, iter=28470/40000, loss=0.1745, lr=0.003265, batch_cost=0.4870, reader_cost=0.0001 | ETA 01:33:34 2020-12-17 19:35:20 [INFO] [TRAIN] epoch=44, iter=28480/40000, loss=0.2007, lr=0.003262, batch_cost=0.4896, reader_cost=0.0001 | ETA 01:34:00 2020-12-17 19:35:25 [INFO] [TRAIN] epoch=44, iter=28490/40000, loss=0.1795, lr=0.003259, batch_cost=0.4968, reader_cost=0.0001 | ETA 01:35:17 2020-12-17 19:35:30 [INFO] [TRAIN] epoch=44, iter=28500/40000, loss=0.2502, lr=0.003257, batch_cost=0.5198, reader_cost=0.0001 | ETA 01:39:37 2020-12-17 19:35:35 [INFO] [TRAIN] epoch=44, iter=28510/40000, loss=0.2390, lr=0.003254, batch_cost=0.5033, reader_cost=0.0001 | ETA 01:36:22 2020-12-17 19:35:40 [INFO] [TRAIN] epoch=44, iter=28520/40000, loss=0.2029, lr=0.003252, batch_cost=0.4822, reader_cost=0.0001 | ETA 01:32:15 2020-12-17 19:35:45 [INFO] [TRAIN] epoch=44, iter=28530/40000, loss=0.2318, lr=0.003249, batch_cost=0.5018, reader_cost=0.0001 | ETA 01:35:55 2020-12-17 19:35:50 [INFO] [TRAIN] epoch=44, iter=28540/40000, loss=0.1840, lr=0.003247, batch_cost=0.4975, reader_cost=0.0001 | ETA 01:35:01 2020-12-17 19:35:55 [INFO] [TRAIN] epoch=44, iter=28550/40000, loss=0.2160, lr=0.003244, batch_cost=0.4907, reader_cost=0.0001 | ETA 01:33:38 2020-12-17 19:36:00 [INFO] [TRAIN] epoch=44, iter=28560/40000, loss=0.1990, lr=0.003242, batch_cost=0.4991, reader_cost=0.0001 | ETA 01:35:10 2020-12-17 19:36:04 [INFO] [TRAIN] epoch=44, iter=28570/40000, loss=0.2765, lr=0.003239, batch_cost=0.4808, reader_cost=0.0001 | ETA 01:31:35 2020-12-17 19:36:10 [INFO] [TRAIN] epoch=44, iter=28580/40000, loss=0.2192, lr=0.003237, batch_cost=0.5057, reader_cost=0.0001 | ETA 01:36:15 2020-12-17 19:36:14 [INFO] [TRAIN] epoch=44, iter=28590/40000, loss=0.2804, lr=0.003234, batch_cost=0.4933, reader_cost=0.0001 | ETA 01:33:48 2020-12-17 19:36:19 [INFO] [TRAIN] epoch=44, iter=28600/40000, loss=0.1847, lr=0.003231, batch_cost=0.4941, reader_cost=0.0001 | ETA 01:33:52 2020-12-17 19:36:24 [INFO] [TRAIN] epoch=44, iter=28610/40000, loss=0.2523, lr=0.003229, batch_cost=0.4971, reader_cost=0.0002 | ETA 01:34:22 2020-12-17 19:36:29 [INFO] [TRAIN] epoch=44, iter=28620/40000, loss=0.1405, lr=0.003226, batch_cost=0.4947, reader_cost=0.0001 | ETA 01:33:49 2020-12-17 19:36:34 [INFO] [TRAIN] epoch=44, iter=28630/40000, loss=0.2132, lr=0.003224, batch_cost=0.4884, reader_cost=0.0001 | ETA 01:32:32 2020-12-17 19:36:39 [INFO] [TRAIN] epoch=44, iter=28640/40000, loss=0.2100, lr=0.003221, batch_cost=0.4918, reader_cost=0.0001 | ETA 01:33:06 2020-12-17 19:36:44 [INFO] [TRAIN] epoch=44, iter=28650/40000, loss=0.2247, lr=0.003219, batch_cost=0.4868, reader_cost=0.0004 | ETA 01:32:04 2020-12-17 19:36:49 [INFO] [TRAIN] epoch=44, iter=28660/40000, loss=0.2113, lr=0.003216, batch_cost=0.5051, reader_cost=0.0001 | ETA 01:35:27 2020-12-17 19:36:54 [INFO] [TRAIN] epoch=44, iter=28670/40000, loss=0.2474, lr=0.003214, batch_cost=0.4817, reader_cost=0.0001 | ETA 01:30:57 2020-12-17 19:36:59 [INFO] [TRAIN] epoch=44, iter=28680/40000, loss=0.2216, lr=0.003211, batch_cost=0.4936, reader_cost=0.0001 | ETA 01:33:07 2020-12-17 19:37:04 [INFO] [TRAIN] epoch=44, iter=28690/40000, loss=0.1814, lr=0.003208, batch_cost=0.5029, reader_cost=0.0001 | ETA 01:34:47 2020-12-17 19:37:09 [INFO] [TRAIN] epoch=44, iter=28700/40000, loss=0.2901, lr=0.003206, batch_cost=0.4978, reader_cost=0.0001 | ETA 01:33:45 2020-12-17 19:37:14 [INFO] [TRAIN] epoch=44, iter=28710/40000, loss=0.2195, lr=0.003203, batch_cost=0.4742, reader_cost=0.0001 | ETA 01:29:13 2020-12-17 19:37:18 [INFO] [TRAIN] epoch=44, iter=28720/40000, loss=0.2171, lr=0.003201, batch_cost=0.4863, reader_cost=0.0001 | ETA 01:31:25 2020-12-17 19:37:23 [INFO] [TRAIN] epoch=44, iter=28730/40000, loss=0.2173, lr=0.003198, batch_cost=0.4990, reader_cost=0.0003 | ETA 01:33:43 2020-12-17 19:37:28 [INFO] [TRAIN] epoch=44, iter=28740/40000, loss=0.1651, lr=0.003196, batch_cost=0.4832, reader_cost=0.0001 | ETA 01:30:40 2020-12-17 19:37:33 [INFO] [TRAIN] epoch=44, iter=28750/40000, loss=0.2184, lr=0.003193, batch_cost=0.4935, reader_cost=0.0001 | ETA 01:32:32 2020-12-17 19:37:38 [INFO] [TRAIN] epoch=44, iter=28760/40000, loss=0.2191, lr=0.003191, batch_cost=0.4958, reader_cost=0.0001 | ETA 01:32:52 2020-12-17 19:37:43 [INFO] [TRAIN] epoch=44, iter=28770/40000, loss=0.2398, lr=0.003188, batch_cost=0.5069, reader_cost=0.0001 | ETA 01:34:52 2020-12-17 19:37:48 [INFO] [TRAIN] epoch=44, iter=28780/40000, loss=0.2027, lr=0.003185, batch_cost=0.5155, reader_cost=0.0004 | ETA 01:36:24 2020-12-17 19:37:53 [INFO] [TRAIN] epoch=44, iter=28790/40000, loss=0.2283, lr=0.003183, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:31:17 2020-12-17 19:37:58 [INFO] [TRAIN] epoch=44, iter=28800/40000, loss=0.2270, lr=0.003180, batch_cost=0.4920, reader_cost=0.0001 | ETA 01:31:50 2020-12-17 19:38:03 [INFO] [TRAIN] epoch=44, iter=28810/40000, loss=0.2644, lr=0.003178, batch_cost=0.4961, reader_cost=0.0001 | ETA 01:32:31 2020-12-17 19:38:08 [INFO] [TRAIN] epoch=44, iter=28820/40000, loss=0.2663, lr=0.003175, batch_cost=0.4921, reader_cost=0.0001 | ETA 01:31:42 2020-12-17 19:38:13 [INFO] [TRAIN] epoch=44, iter=28830/40000, loss=0.2105, lr=0.003173, batch_cost=0.5071, reader_cost=0.0001 | ETA 01:34:24 2020-12-17 19:38:18 [INFO] [TRAIN] epoch=44, iter=28840/40000, loss=0.2412, lr=0.003170, batch_cost=0.5093, reader_cost=0.0004 | ETA 01:34:44 2020-12-17 19:38:23 [INFO] [TRAIN] epoch=44, iter=28850/40000, loss=0.1668, lr=0.003168, batch_cost=0.4849, reader_cost=0.0001 | ETA 01:30:06 2020-12-17 19:38:28 [INFO] [TRAIN] epoch=44, iter=28860/40000, loss=0.1848, lr=0.003165, batch_cost=0.4882, reader_cost=0.0001 | ETA 01:30:38 2020-12-17 19:38:33 [INFO] [TRAIN] epoch=44, iter=28870/40000, loss=0.2784, lr=0.003162, batch_cost=0.4817, reader_cost=0.0001 | ETA 01:29:20 2020-12-17 19:38:38 [INFO] [TRAIN] epoch=44, iter=28880/40000, loss=0.3228, lr=0.003160, batch_cost=0.4974, reader_cost=0.0001 | ETA 01:32:11 2020-12-17 19:38:43 [INFO] [TRAIN] epoch=44, iter=28890/40000, loss=0.2077, lr=0.003157, batch_cost=0.4868, reader_cost=0.0001 | ETA 01:30:08 2020-12-17 19:38:48 [INFO] [TRAIN] epoch=44, iter=28900/40000, loss=0.2387, lr=0.003155, batch_cost=0.4959, reader_cost=0.0001 | ETA 01:31:43 2020-12-17 19:38:53 [INFO] [TRAIN] epoch=44, iter=28910/40000, loss=0.2188, lr=0.003152, batch_cost=0.4994, reader_cost=0.0001 | ETA 01:32:18 2020-12-17 19:38:58 [INFO] [TRAIN] epoch=44, iter=28920/40000, loss=0.2017, lr=0.003150, batch_cost=0.5171, reader_cost=0.0001 | ETA 01:35:29 2020-12-17 19:39:03 [INFO] [TRAIN] epoch=44, iter=28930/40000, loss=0.2629, lr=0.003147, batch_cost=0.5054, reader_cost=0.0001 | ETA 01:33:14 2020-12-17 19:39:08 [INFO] [TRAIN] epoch=44, iter=28940/40000, loss=0.2189, lr=0.003145, batch_cost=0.5129, reader_cost=0.0001 | ETA 01:34:32 2020-12-17 19:39:13 [INFO] [TRAIN] epoch=44, iter=28950/40000, loss=0.2131, lr=0.003142, batch_cost=0.5074, reader_cost=0.0001 | ETA 01:33:26 2020-12-17 19:39:18 [INFO] [TRAIN] epoch=44, iter=28960/40000, loss=0.1893, lr=0.003139, batch_cost=0.4960, reader_cost=0.0001 | ETA 01:31:15 2020-12-17 19:39:23 [INFO] [TRAIN] epoch=44, iter=28970/40000, loss=0.2240, lr=0.003137, batch_cost=0.5012, reader_cost=0.0001 | ETA 01:32:08 2020-12-17 19:39:28 [INFO] [TRAIN] epoch=44, iter=28980/40000, loss=0.2560, lr=0.003134, batch_cost=0.4887, reader_cost=0.0001 | ETA 01:29:45 2020-12-17 19:39:33 [INFO] [TRAIN] epoch=44, iter=28990/40000, loss=0.2514, lr=0.003132, batch_cost=0.5053, reader_cost=0.0001 | ETA 01:32:42 2020-12-17 19:39:38 [INFO] [TRAIN] epoch=44, iter=29000/40000, loss=0.2145, lr=0.003129, batch_cost=0.5036, reader_cost=0.0001 | ETA 01:32:19 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:39:38 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 19:39:59 [INFO] [EVAL] #Images=1449 mIoU=0.7934 Acc=0.9534 Kappa=0.8972 2020-12-17 19:39:59 [INFO] [EVAL] Class IoU: [0.9481 0.8751 0.4325 0.8923 0.7088 0.8392 0.9475 0.8872 0.931 0.4249 0.9109 0.636 0.8943 0.9037 0.8671 0.8693 0.6317 0.8893 0.5002 0.8815 0.7913] 2020-12-17 19:39:59 [INFO] [EVAL] Class Acc: [0.9699 0.9063 0.4484 0.9272 0.809 0.9077 0.9815 0.9449 0.9562 0.5693 0.9642 0.8793 0.9429 0.9539 0.9307 0.9451 0.818 0.9442 0.7939 0.9628 0.9517] 2020-12-17 19:40:06 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 19:40:11 [INFO] [TRAIN] epoch=44, iter=29010/40000, loss=0.1988, lr=0.003127, batch_cost=0.5007, reader_cost=0.0001 | ETA 01:31:42 2020-12-17 19:40:16 [INFO] [TRAIN] epoch=44, iter=29020/40000, loss=0.1840, lr=0.003124, batch_cost=0.4891, reader_cost=0.0001 | ETA 01:29:30 2020-12-17 19:40:21 [INFO] [TRAIN] epoch=44, iter=29030/40000, loss=0.2290, lr=0.003122, batch_cost=0.4992, reader_cost=0.0001 | ETA 01:31:15 2020-12-17 19:40:26 [INFO] [TRAIN] epoch=44, iter=29040/40000, loss=0.2181, lr=0.003119, batch_cost=0.4958, reader_cost=0.0001 | ETA 01:30:34 2020-12-17 19:40:31 [INFO] [TRAIN] epoch=44, iter=29050/40000, loss=0.1799, lr=0.003116, batch_cost=0.5035, reader_cost=0.0001 | ETA 01:31:53 2020-12-17 19:40:36 [INFO] [TRAIN] epoch=44, iter=29060/40000, loss=0.1781, lr=0.003114, batch_cost=0.4968, reader_cost=0.0001 | ETA 01:30:35 2020-12-17 19:40:41 [INFO] [TRAIN] epoch=44, iter=29070/40000, loss=0.2771, lr=0.003111, batch_cost=0.4925, reader_cost=0.0001 | ETA 01:29:43 2020-12-17 19:40:45 [INFO] [TRAIN] epoch=44, iter=29080/40000, loss=0.2685, lr=0.003109, batch_cost=0.4841, reader_cost=0.0001 | ETA 01:28:06 2020-12-17 19:40:50 [INFO] [TRAIN] epoch=45, iter=29090/40000, loss=0.2130, lr=0.003106, batch_cost=0.4854, reader_cost=0.0333 | ETA 01:28:15 2020-12-17 19:40:55 [INFO] [TRAIN] epoch=45, iter=29100/40000, loss=0.1550, lr=0.003104, batch_cost=0.5064, reader_cost=0.0001 | ETA 01:31:59 2020-12-17 19:41:00 [INFO] [TRAIN] epoch=45, iter=29110/40000, loss=0.1684, lr=0.003101, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:30:51 2020-12-17 19:41:05 [INFO] [TRAIN] epoch=45, iter=29120/40000, loss=0.2509, lr=0.003098, batch_cost=0.4871, reader_cost=0.0001 | ETA 01:28:20 2020-12-17 19:41:10 [INFO] [TRAIN] epoch=45, iter=29130/40000, loss=0.2226, lr=0.003096, batch_cost=0.4931, reader_cost=0.0001 | ETA 01:29:20 2020-12-17 19:41:16 [INFO] [TRAIN] epoch=45, iter=29140/40000, loss=0.2794, lr=0.003093, batch_cost=0.5333, reader_cost=0.0001 | ETA 01:36:31 2020-12-17 19:41:20 [INFO] [TRAIN] epoch=45, iter=29150/40000, loss=0.2300, lr=0.003091, batch_cost=0.4859, reader_cost=0.0001 | ETA 01:27:52 2020-12-17 19:41:25 [INFO] [TRAIN] epoch=45, iter=29160/40000, loss=0.2187, lr=0.003088, batch_cost=0.5075, reader_cost=0.0001 | ETA 01:31:41 2020-12-17 19:41:30 [INFO] [TRAIN] epoch=45, iter=29170/40000, loss=0.1829, lr=0.003086, batch_cost=0.5048, reader_cost=0.0001 | ETA 01:31:06 2020-12-17 19:41:35 [INFO] [TRAIN] epoch=45, iter=29180/40000, loss=0.2038, lr=0.003083, batch_cost=0.4970, reader_cost=0.0001 | ETA 01:29:37 2020-12-17 19:41:40 [INFO] [TRAIN] epoch=45, iter=29190/40000, loss=0.2245, lr=0.003081, batch_cost=0.4885, reader_cost=0.0001 | ETA 01:28:00 2020-12-17 19:41:45 [INFO] [TRAIN] epoch=45, iter=29200/40000, loss=0.1999, lr=0.003078, batch_cost=0.4911, reader_cost=0.0001 | ETA 01:28:23 2020-12-17 19:41:50 [INFO] [TRAIN] epoch=45, iter=29210/40000, loss=0.3247, lr=0.003075, batch_cost=0.5125, reader_cost=0.0001 | ETA 01:32:09 2020-12-17 19:41:55 [INFO] [TRAIN] epoch=45, iter=29220/40000, loss=0.2328, lr=0.003073, batch_cost=0.5015, reader_cost=0.0001 | ETA 01:30:05 2020-12-17 19:42:00 [INFO] [TRAIN] epoch=45, iter=29230/40000, loss=0.1991, lr=0.003070, batch_cost=0.5070, reader_cost=0.0001 | ETA 01:31:00 2020-12-17 19:42:05 [INFO] [TRAIN] epoch=45, iter=29240/40000, loss=0.2226, lr=0.003068, batch_cost=0.4825, reader_cost=0.0001 | ETA 01:26:32 2020-12-17 19:42:10 [INFO] [TRAIN] epoch=45, iter=29250/40000, loss=0.2349, lr=0.003065, batch_cost=0.4956, reader_cost=0.0008 | ETA 01:28:47 2020-12-17 19:42:15 [INFO] [TRAIN] epoch=45, iter=29260/40000, loss=0.2425, lr=0.003063, batch_cost=0.4926, reader_cost=0.0001 | ETA 01:28:11 2020-12-17 19:42:20 [INFO] [TRAIN] epoch=45, iter=29270/40000, loss=0.1912, lr=0.003060, batch_cost=0.4934, reader_cost=0.0001 | ETA 01:28:13 2020-12-17 19:42:25 [INFO] [TRAIN] epoch=45, iter=29280/40000, loss=0.2414, lr=0.003057, batch_cost=0.5008, reader_cost=0.0001 | ETA 01:29:28 2020-12-17 19:42:30 [INFO] [TRAIN] epoch=45, iter=29290/40000, loss=0.2366, lr=0.003055, batch_cost=0.5130, reader_cost=0.0001 | ETA 01:31:33 2020-12-17 19:42:35 [INFO] [TRAIN] epoch=45, iter=29300/40000, loss=0.2097, lr=0.003052, batch_cost=0.5054, reader_cost=0.0001 | ETA 01:30:07 2020-12-17 19:42:40 [INFO] [TRAIN] epoch=45, iter=29310/40000, loss=0.2205, lr=0.003050, batch_cost=0.4935, reader_cost=0.0001 | ETA 01:27:55 2020-12-17 19:42:45 [INFO] [TRAIN] epoch=45, iter=29320/40000, loss=0.1861, lr=0.003047, batch_cost=0.5107, reader_cost=0.0001 | ETA 01:30:54 2020-12-17 19:42:50 [INFO] [TRAIN] epoch=45, iter=29330/40000, loss=0.2893, lr=0.003045, batch_cost=0.5012, reader_cost=0.0001 | ETA 01:29:08 2020-12-17 19:42:55 [INFO] [TRAIN] epoch=45, iter=29340/40000, loss=0.1652, lr=0.003042, batch_cost=0.4909, reader_cost=0.0001 | ETA 01:27:12 2020-12-17 19:43:00 [INFO] [TRAIN] epoch=45, iter=29350/40000, loss=0.2025, lr=0.003039, batch_cost=0.4862, reader_cost=0.0001 | ETA 01:26:18 2020-12-17 19:43:05 [INFO] [TRAIN] epoch=45, iter=29360/40000, loss=0.2187, lr=0.003037, batch_cost=0.5141, reader_cost=0.0001 | ETA 01:31:10 2020-12-17 19:43:10 [INFO] [TRAIN] epoch=45, iter=29370/40000, loss=0.1929, lr=0.003034, batch_cost=0.5092, reader_cost=0.0001 | ETA 01:30:13 2020-12-17 19:43:15 [INFO] [TRAIN] epoch=45, iter=29380/40000, loss=0.2221, lr=0.003032, batch_cost=0.4893, reader_cost=0.0001 | ETA 01:26:36 2020-12-17 19:43:20 [INFO] [TRAIN] epoch=45, iter=29390/40000, loss=0.1826, lr=0.003029, batch_cost=0.5025, reader_cost=0.0001 | ETA 01:28:51 2020-12-17 19:43:25 [INFO] [TRAIN] epoch=45, iter=29400/40000, loss=0.2187, lr=0.003027, batch_cost=0.5005, reader_cost=0.0001 | ETA 01:28:25 2020-12-17 19:43:30 [INFO] [TRAIN] epoch=45, iter=29410/40000, loss=0.3156, lr=0.003024, batch_cost=0.4915, reader_cost=0.0001 | ETA 01:26:44 2020-12-17 19:43:35 [INFO] [TRAIN] epoch=45, iter=29420/40000, loss=0.2078, lr=0.003021, batch_cost=0.4895, reader_cost=0.0002 | ETA 01:26:18 2020-12-17 19:43:40 [INFO] [TRAIN] epoch=45, iter=29430/40000, loss=0.2013, lr=0.003019, batch_cost=0.5000, reader_cost=0.0001 | ETA 01:28:04 2020-12-17 19:43:45 [INFO] [TRAIN] epoch=45, iter=29440/40000, loss=0.2332, lr=0.003016, batch_cost=0.4914, reader_cost=0.0001 | ETA 01:26:29 2020-12-17 19:43:50 [INFO] [TRAIN] epoch=45, iter=29450/40000, loss=0.2013, lr=0.003014, batch_cost=0.4930, reader_cost=0.0001 | ETA 01:26:40 2020-12-17 19:43:55 [INFO] [TRAIN] epoch=45, iter=29460/40000, loss=0.2157, lr=0.003011, batch_cost=0.5007, reader_cost=0.0001 | ETA 01:27:57 2020-12-17 19:44:00 [INFO] [TRAIN] epoch=45, iter=29470/40000, loss=0.1807, lr=0.003009, batch_cost=0.5000, reader_cost=0.0001 | ETA 01:27:44 2020-12-17 19:44:05 [INFO] [TRAIN] epoch=45, iter=29480/40000, loss=0.2546, lr=0.003006, batch_cost=0.5022, reader_cost=0.0001 | ETA 01:28:03 2020-12-17 19:44:10 [INFO] [TRAIN] epoch=45, iter=29490/40000, loss=0.2535, lr=0.003003, batch_cost=0.4917, reader_cost=0.0001 | ETA 01:26:07 2020-12-17 19:44:15 [INFO] [TRAIN] epoch=45, iter=29500/40000, loss=0.2756, lr=0.003001, batch_cost=0.4917, reader_cost=0.0001 | ETA 01:26:02 2020-12-17 19:44:20 [INFO] [TRAIN] epoch=45, iter=29510/40000, loss=0.2671, lr=0.002998, batch_cost=0.4949, reader_cost=0.0001 | ETA 01:26:31 2020-12-17 19:44:25 [INFO] [TRAIN] epoch=45, iter=29520/40000, loss=0.2002, lr=0.002996, batch_cost=0.4891, reader_cost=0.0001 | ETA 01:25:26 2020-12-17 19:44:30 [INFO] [TRAIN] epoch=45, iter=29530/40000, loss=0.1984, lr=0.002993, batch_cost=0.5030, reader_cost=0.0001 | ETA 01:27:46 2020-12-17 19:44:35 [INFO] [TRAIN] epoch=45, iter=29540/40000, loss=0.1857, lr=0.002991, batch_cost=0.5152, reader_cost=0.0001 | ETA 01:29:48 2020-12-17 19:44:40 [INFO] [TRAIN] epoch=45, iter=29550/40000, loss=0.2257, lr=0.002988, batch_cost=0.4991, reader_cost=0.0001 | ETA 01:26:55 2020-12-17 19:44:45 [INFO] [TRAIN] epoch=45, iter=29560/40000, loss=0.1847, lr=0.002985, batch_cost=0.4930, reader_cost=0.0001 | ETA 01:25:47 2020-12-17 19:44:50 [INFO] [TRAIN] epoch=45, iter=29570/40000, loss=0.2029, lr=0.002983, batch_cost=0.4841, reader_cost=0.0001 | ETA 01:24:08 2020-12-17 19:44:55 [INFO] [TRAIN] epoch=45, iter=29580/40000, loss=0.2894, lr=0.002980, batch_cost=0.4951, reader_cost=0.0001 | ETA 01:25:59 2020-12-17 19:45:00 [INFO] [TRAIN] epoch=45, iter=29590/40000, loss=0.1953, lr=0.002978, batch_cost=0.5065, reader_cost=0.0001 | ETA 01:27:52 2020-12-17 19:45:05 [INFO] [TRAIN] epoch=45, iter=29600/40000, loss=0.2271, lr=0.002975, batch_cost=0.5132, reader_cost=0.0001 | ETA 01:28:57 2020-12-17 19:45:10 [INFO] [TRAIN] epoch=45, iter=29610/40000, loss=0.2031, lr=0.002973, batch_cost=0.4954, reader_cost=0.0001 | ETA 01:25:47 2020-12-17 19:45:15 [INFO] [TRAIN] epoch=45, iter=29620/40000, loss=0.2321, lr=0.002970, batch_cost=0.4908, reader_cost=0.0001 | ETA 01:24:54 2020-12-17 19:45:20 [INFO] [TRAIN] epoch=45, iter=29630/40000, loss=0.2238, lr=0.002967, batch_cost=0.5020, reader_cost=0.0001 | ETA 01:26:45 2020-12-17 19:45:25 [INFO] [TRAIN] epoch=45, iter=29640/40000, loss=0.2107, lr=0.002965, batch_cost=0.4933, reader_cost=0.0001 | ETA 01:25:10 2020-12-17 19:45:30 [INFO] [TRAIN] epoch=45, iter=29650/40000, loss=0.2302, lr=0.002962, batch_cost=0.4974, reader_cost=0.0001 | ETA 01:25:48 2020-12-17 19:45:34 [INFO] [TRAIN] epoch=45, iter=29660/40000, loss=0.2264, lr=0.002960, batch_cost=0.4878, reader_cost=0.0001 | ETA 01:24:03 2020-12-17 19:45:40 [INFO] [TRAIN] epoch=45, iter=29670/40000, loss=0.2051, lr=0.002957, batch_cost=0.5108, reader_cost=0.0001 | ETA 01:27:56 2020-12-17 19:45:44 [INFO] [TRAIN] epoch=45, iter=29680/40000, loss=0.2562, lr=0.002955, batch_cost=0.4925, reader_cost=0.0001 | ETA 01:24:42 2020-12-17 19:45:50 [INFO] [TRAIN] epoch=45, iter=29690/40000, loss=0.2195, lr=0.002952, batch_cost=0.5057, reader_cost=0.0001 | ETA 01:26:53 2020-12-17 19:45:55 [INFO] [TRAIN] epoch=45, iter=29700/40000, loss=0.3288, lr=0.002949, batch_cost=0.5113, reader_cost=0.0001 | ETA 01:27:46 2020-12-17 19:46:00 [INFO] [TRAIN] epoch=45, iter=29710/40000, loss=0.2027, lr=0.002947, batch_cost=0.5097, reader_cost=0.0001 | ETA 01:27:25 2020-12-17 19:46:05 [INFO] [TRAIN] epoch=45, iter=29720/40000, loss=0.2234, lr=0.002944, batch_cost=0.5062, reader_cost=0.0004 | ETA 01:26:43 2020-12-17 19:46:10 [INFO] [TRAIN] epoch=45, iter=29730/40000, loss=0.1829, lr=0.002942, batch_cost=0.5108, reader_cost=0.0001 | ETA 01:27:26 2020-12-17 19:46:15 [INFO] [TRAIN] epoch=45, iter=29740/40000, loss=0.2022, lr=0.002939, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:25:36 2020-12-17 19:46:20 [INFO] [TRAIN] epoch=46, iter=29750/40000, loss=0.2627, lr=0.002937, batch_cost=0.4806, reader_cost=0.0285 | ETA 01:22:06 2020-12-17 19:46:25 [INFO] [TRAIN] epoch=46, iter=29760/40000, loss=0.1983, lr=0.002934, batch_cost=0.4918, reader_cost=0.0001 | ETA 01:23:56 2020-12-17 19:46:30 [INFO] [TRAIN] epoch=46, iter=29770/40000, loss=0.2121, lr=0.002931, batch_cost=0.5318, reader_cost=0.0001 | ETA 01:30:40 2020-12-17 19:46:38 [INFO] [TRAIN] epoch=46, iter=29780/40000, loss=0.2947, lr=0.002929, batch_cost=0.7716, reader_cost=0.0001 | ETA 02:11:25 2020-12-17 19:46:43 [INFO] [TRAIN] epoch=46, iter=29790/40000, loss=0.1671, lr=0.002926, batch_cost=0.5496, reader_cost=0.0001 | ETA 01:33:31 2020-12-17 19:46:48 [INFO] [TRAIN] epoch=46, iter=29800/40000, loss=0.2426, lr=0.002924, batch_cost=0.5179, reader_cost=0.0010 | ETA 01:28:03 2020-12-17 19:46:55 [INFO] [TRAIN] epoch=46, iter=29810/40000, loss=0.2226, lr=0.002921, batch_cost=0.6688, reader_cost=0.0001 | ETA 01:53:35 2020-12-17 19:47:00 [INFO] [TRAIN] epoch=46, iter=29820/40000, loss=0.2082, lr=0.002918, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:22:53 2020-12-17 19:47:05 [INFO] [TRAIN] epoch=46, iter=29830/40000, loss=0.2092, lr=0.002916, batch_cost=0.4953, reader_cost=0.0001 | ETA 01:23:57 2020-12-17 19:47:11 [INFO] [TRAIN] epoch=46, iter=29840/40000, loss=0.1696, lr=0.002913, batch_cost=0.5870, reader_cost=0.0025 | ETA 01:39:23 2020-12-17 19:47:16 [INFO] [TRAIN] epoch=46, iter=29850/40000, loss=0.1740, lr=0.002911, batch_cost=0.5176, reader_cost=0.0001 | ETA 01:27:33 2020-12-17 19:47:21 [INFO] [TRAIN] epoch=46, iter=29860/40000, loss=0.2245, lr=0.002908, batch_cost=0.4995, reader_cost=0.0001 | ETA 01:24:24 2020-12-17 19:47:26 [INFO] [TRAIN] epoch=46, iter=29870/40000, loss=0.2391, lr=0.002906, batch_cost=0.4870, reader_cost=0.0001 | ETA 01:22:13 2020-12-17 19:47:32 [INFO] [TRAIN] epoch=46, iter=29880/40000, loss=0.2154, lr=0.002903, batch_cost=0.6648, reader_cost=0.0001 | ETA 01:52:07 2020-12-17 19:47:42 [INFO] [TRAIN] epoch=46, iter=29890/40000, loss=0.2289, lr=0.002900, batch_cost=0.9465, reader_cost=0.0021 | ETA 02:39:28 2020-12-17 19:47:49 [INFO] [TRAIN] epoch=46, iter=29900/40000, loss=0.2418, lr=0.002898, batch_cost=0.7587, reader_cost=0.0039 | ETA 02:07:42 2020-12-17 19:47:57 [INFO] [TRAIN] epoch=46, iter=29910/40000, loss=0.2172, lr=0.002895, batch_cost=0.7084, reader_cost=0.0001 | ETA 01:59:08 2020-12-17 19:48:03 [INFO] [TRAIN] epoch=46, iter=29920/40000, loss=0.1939, lr=0.002893, batch_cost=0.6359, reader_cost=0.0001 | ETA 01:46:49 2020-12-17 19:48:10 [INFO] [TRAIN] epoch=46, iter=29930/40000, loss=0.1923, lr=0.002890, batch_cost=0.6788, reader_cost=0.0085 | ETA 01:53:55 2020-12-17 19:48:19 [INFO] [TRAIN] epoch=46, iter=29940/40000, loss=0.1935, lr=0.002888, batch_cost=0.9633, reader_cost=0.0064 | ETA 02:41:31 2020-12-17 19:48:26 [INFO] [TRAIN] epoch=46, iter=29950/40000, loss=0.2536, lr=0.002885, batch_cost=0.6339, reader_cost=0.0007 | ETA 01:46:11 2020-12-17 19:48:31 [INFO] [TRAIN] epoch=46, iter=29960/40000, loss=0.1951, lr=0.002882, batch_cost=0.4874, reader_cost=0.0001 | ETA 01:21:33 2020-12-17 19:48:37 [INFO] [TRAIN] epoch=46, iter=29970/40000, loss=0.1932, lr=0.002880, batch_cost=0.6379, reader_cost=0.0001 | ETA 01:46:38 2020-12-17 19:48:48 [INFO] [TRAIN] epoch=46, iter=29980/40000, loss=0.1822, lr=0.002877, batch_cost=1.0973, reader_cost=0.0059 | ETA 03:03:14 2020-12-17 19:48:54 [INFO] [TRAIN] epoch=46, iter=29990/40000, loss=0.2276, lr=0.002875, batch_cost=0.6167, reader_cost=0.0001 | ETA 01:42:53 2020-12-17 19:49:01 [INFO] [TRAIN] epoch=46, iter=30000/40000, loss=0.1737, lr=0.002872, batch_cost=0.6733, reader_cost=0.0001 | ETA 01:52:13 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:49:01 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 19:49:22 [INFO] [EVAL] #Images=1449 mIoU=0.7882 Acc=0.9529 Kappa=0.8953 2020-12-17 19:49:22 [INFO] [EVAL] Class IoU: [0.9469 0.9032 0.4402 0.9072 0.7281 0.8327 0.9494 0.8922 0.9328 0.3908 0.8665 0.6044 0.893 0.8791 0.8705 0.8722 0.6166 0.8476 0.4965 0.8888 0.7927] 2020-12-17 19:49:22 [INFO] [EVAL] Class Acc: [0.9665 0.9561 0.4586 0.9474 0.7992 0.8973 0.9783 0.9489 0.9598 0.5952 0.9119 0.9565 0.9407 0.9558 0.9354 0.9462 0.806 0.9523 0.819 0.9611 0.936 ] 2020-12-17 19:49:26 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 19:49:31 [INFO] [TRAIN] epoch=46, iter=30010/40000, loss=0.2210, lr=0.002869, batch_cost=0.5453, reader_cost=0.0051 | ETA 01:30:47 2020-12-17 19:49:38 [INFO] [TRAIN] epoch=46, iter=30020/40000, loss=0.2124, lr=0.002867, batch_cost=0.6140, reader_cost=0.0001 | ETA 01:42:07 2020-12-17 19:49:43 [INFO] [TRAIN] epoch=46, iter=30030/40000, loss=0.2168, lr=0.002864, batch_cost=0.5113, reader_cost=0.0001 | ETA 01:24:57 2020-12-17 19:49:49 [INFO] [TRAIN] epoch=46, iter=30040/40000, loss=0.2128, lr=0.002862, batch_cost=0.6250, reader_cost=0.0001 | ETA 01:43:45 2020-12-17 19:49:55 [INFO] [TRAIN] epoch=46, iter=30050/40000, loss=0.1981, lr=0.002859, batch_cost=0.6224, reader_cost=0.0006 | ETA 01:43:12 2020-12-17 19:50:01 [INFO] [TRAIN] epoch=46, iter=30060/40000, loss=0.2034, lr=0.002856, batch_cost=0.5573, reader_cost=0.0028 | ETA 01:32:19 2020-12-17 19:50:07 [INFO] [TRAIN] epoch=46, iter=30070/40000, loss=0.1844, lr=0.002854, batch_cost=0.6491, reader_cost=0.0013 | ETA 01:47:25 2020-12-17 19:50:13 [INFO] [TRAIN] epoch=46, iter=30080/40000, loss=0.2528, lr=0.002851, batch_cost=0.5561, reader_cost=0.0001 | ETA 01:31:56 2020-12-17 19:50:19 [INFO] [TRAIN] epoch=46, iter=30090/40000, loss=0.2100, lr=0.002849, batch_cost=0.6399, reader_cost=0.0001 | ETA 01:45:40 2020-12-17 19:50:25 [INFO] [TRAIN] epoch=46, iter=30100/40000, loss=0.1944, lr=0.002846, batch_cost=0.5329, reader_cost=0.0010 | ETA 01:27:55 2020-12-17 19:50:31 [INFO] [TRAIN] epoch=46, iter=30110/40000, loss=0.1705, lr=0.002844, batch_cost=0.6570, reader_cost=0.0073 | ETA 01:48:17 2020-12-17 19:50:36 [INFO] [TRAIN] epoch=46, iter=30120/40000, loss=0.1923, lr=0.002841, batch_cost=0.4907, reader_cost=0.0026 | ETA 01:20:48 2020-12-17 19:50:41 [INFO] [TRAIN] epoch=46, iter=30130/40000, loss=0.2678, lr=0.002838, batch_cost=0.5343, reader_cost=0.0001 | ETA 01:27:54 2020-12-17 19:50:47 [INFO] [TRAIN] epoch=46, iter=30140/40000, loss=0.2878, lr=0.002836, batch_cost=0.5196, reader_cost=0.0006 | ETA 01:25:23 2020-12-17 19:50:52 [INFO] [TRAIN] epoch=46, iter=30150/40000, loss=0.1768, lr=0.002833, batch_cost=0.5022, reader_cost=0.0001 | ETA 01:22:26 2020-12-17 19:50:57 [INFO] [TRAIN] epoch=46, iter=30160/40000, loss=0.2287, lr=0.002831, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:21:31 2020-12-17 19:51:03 [INFO] [TRAIN] epoch=46, iter=30170/40000, loss=0.2528, lr=0.002828, batch_cost=0.6146, reader_cost=0.0001 | ETA 01:40:41 2020-12-17 19:51:08 [INFO] [TRAIN] epoch=46, iter=30180/40000, loss=0.1805, lr=0.002825, batch_cost=0.5066, reader_cost=0.0001 | ETA 01:22:54 2020-12-17 19:51:13 [INFO] [TRAIN] epoch=46, iter=30190/40000, loss=0.1983, lr=0.002823, batch_cost=0.5025, reader_cost=0.0001 | ETA 01:22:09 2020-12-17 19:51:18 [INFO] [TRAIN] epoch=46, iter=30200/40000, loss=0.2803, lr=0.002820, batch_cost=0.4926, reader_cost=0.0001 | ETA 01:20:27 2020-12-17 19:51:23 [INFO] [TRAIN] epoch=46, iter=30210/40000, loss=0.2433, lr=0.002818, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:21:31 2020-12-17 19:51:28 [INFO] [TRAIN] epoch=46, iter=30220/40000, loss=0.1932, lr=0.002815, batch_cost=0.4917, reader_cost=0.0001 | ETA 01:20:08 2020-12-17 19:51:33 [INFO] [TRAIN] epoch=46, iter=30230/40000, loss=0.2405, lr=0.002812, batch_cost=0.5023, reader_cost=0.0001 | ETA 01:21:47 2020-12-17 19:51:38 [INFO] [TRAIN] epoch=46, iter=30240/40000, loss=0.2066, lr=0.002810, batch_cost=0.5200, reader_cost=0.0001 | ETA 01:24:34 2020-12-17 19:51:43 [INFO] [TRAIN] epoch=46, iter=30250/40000, loss=0.2447, lr=0.002807, batch_cost=0.4956, reader_cost=0.0001 | ETA 01:20:32 2020-12-17 19:51:48 [INFO] [TRAIN] epoch=46, iter=30260/40000, loss=0.2414, lr=0.002805, batch_cost=0.5524, reader_cost=0.0001 | ETA 01:29:40 2020-12-17 19:51:54 [INFO] [TRAIN] epoch=46, iter=30270/40000, loss=0.2118, lr=0.002802, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:27:12 2020-12-17 19:51:59 [INFO] [TRAIN] epoch=46, iter=30280/40000, loss=0.2713, lr=0.002800, batch_cost=0.4949, reader_cost=0.0001 | ETA 01:20:10 2020-12-17 19:52:04 [INFO] [TRAIN] epoch=46, iter=30290/40000, loss=0.2234, lr=0.002797, batch_cost=0.5131, reader_cost=0.0001 | ETA 01:23:02 2020-12-17 19:52:09 [INFO] [TRAIN] epoch=46, iter=30300/40000, loss=0.1715, lr=0.002794, batch_cost=0.5074, reader_cost=0.0001 | ETA 01:22:01 2020-12-17 19:52:14 [INFO] [TRAIN] epoch=46, iter=30310/40000, loss=0.1816, lr=0.002792, batch_cost=0.5005, reader_cost=0.0001 | ETA 01:20:49 2020-12-17 19:52:19 [INFO] [TRAIN] epoch=46, iter=30320/40000, loss=0.2366, lr=0.002789, batch_cost=0.4824, reader_cost=0.0001 | ETA 01:17:49 2020-12-17 19:52:24 [INFO] [TRAIN] epoch=46, iter=30330/40000, loss=0.2944, lr=0.002787, batch_cost=0.4820, reader_cost=0.0001 | ETA 01:17:41 2020-12-17 19:52:29 [INFO] [TRAIN] epoch=46, iter=30340/40000, loss=0.2665, lr=0.002784, batch_cost=0.5058, reader_cost=0.0001 | ETA 01:21:26 2020-12-17 19:52:34 [INFO] [TRAIN] epoch=46, iter=30350/40000, loss=0.2517, lr=0.002781, batch_cost=0.4911, reader_cost=0.0001 | ETA 01:18:59 2020-12-17 19:52:39 [INFO] [TRAIN] epoch=46, iter=30360/40000, loss=0.1980, lr=0.002779, batch_cost=0.5476, reader_cost=0.0001 | ETA 01:27:58 2020-12-17 19:52:44 [INFO] [TRAIN] epoch=46, iter=30370/40000, loss=0.2600, lr=0.002776, batch_cost=0.5286, reader_cost=0.0001 | ETA 01:24:50 2020-12-17 19:52:49 [INFO] [TRAIN] epoch=46, iter=30380/40000, loss=0.2287, lr=0.002774, batch_cost=0.4784, reader_cost=0.0001 | ETA 01:16:42 2020-12-17 19:52:54 [INFO] [TRAIN] epoch=46, iter=30390/40000, loss=0.2754, lr=0.002771, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:19:36 2020-12-17 19:52:59 [INFO] [TRAIN] epoch=46, iter=30400/40000, loss=0.2379, lr=0.002768, batch_cost=0.4876, reader_cost=0.0001 | ETA 01:18:00 2020-12-17 19:53:04 [INFO] [TRAIN] epoch=47, iter=30410/40000, loss=0.2587, lr=0.002766, batch_cost=0.4781, reader_cost=0.0324 | ETA 01:16:24 2020-12-17 19:53:10 [INFO] [TRAIN] epoch=47, iter=30420/40000, loss=0.2406, lr=0.002763, batch_cost=0.6172, reader_cost=0.0004 | ETA 01:38:33 2020-12-17 19:53:15 [INFO] [TRAIN] epoch=47, iter=30430/40000, loss=0.1663, lr=0.002761, batch_cost=0.4939, reader_cost=0.0001 | ETA 01:18:46 2020-12-17 19:53:20 [INFO] [TRAIN] epoch=47, iter=30440/40000, loss=0.2619, lr=0.002758, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:19:45 2020-12-17 19:53:25 [INFO] [TRAIN] epoch=47, iter=30450/40000, loss=0.1804, lr=0.002755, batch_cost=0.4971, reader_cost=0.0001 | ETA 01:19:07 2020-12-17 19:53:30 [INFO] [TRAIN] epoch=47, iter=30460/40000, loss=0.2130, lr=0.002753, batch_cost=0.5509, reader_cost=0.0001 | ETA 01:27:35 2020-12-17 19:53:37 [INFO] [TRAIN] epoch=47, iter=30470/40000, loss=0.2128, lr=0.002750, batch_cost=0.6353, reader_cost=0.0047 | ETA 01:40:54 2020-12-17 19:53:42 [INFO] [TRAIN] epoch=47, iter=30480/40000, loss=0.2063, lr=0.002748, batch_cost=0.5679, reader_cost=0.0001 | ETA 01:30:06 2020-12-17 19:53:47 [INFO] [TRAIN] epoch=47, iter=30490/40000, loss=0.2554, lr=0.002745, batch_cost=0.4965, reader_cost=0.0001 | ETA 01:18:41 2020-12-17 19:53:52 [INFO] [TRAIN] epoch=47, iter=30500/40000, loss=0.2326, lr=0.002742, batch_cost=0.4968, reader_cost=0.0001 | ETA 01:18:39 2020-12-17 19:53:57 [INFO] [TRAIN] epoch=47, iter=30510/40000, loss=0.2140, lr=0.002740, batch_cost=0.5195, reader_cost=0.0001 | ETA 01:22:10 2020-12-17 19:54:03 [INFO] [TRAIN] epoch=47, iter=30520/40000, loss=0.2888, lr=0.002737, batch_cost=0.5002, reader_cost=0.0001 | ETA 01:19:02 2020-12-17 19:54:08 [INFO] [TRAIN] epoch=47, iter=30530/40000, loss=0.1535, lr=0.002735, batch_cost=0.5175, reader_cost=0.0001 | ETA 01:21:40 2020-12-17 19:54:13 [INFO] [TRAIN] epoch=47, iter=30540/40000, loss=0.2142, lr=0.002732, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:25:09 2020-12-17 19:54:18 [INFO] [TRAIN] epoch=47, iter=30550/40000, loss=0.2368, lr=0.002729, batch_cost=0.5034, reader_cost=0.0001 | ETA 01:19:17 2020-12-17 19:54:24 [INFO] [TRAIN] epoch=47, iter=30560/40000, loss=0.1849, lr=0.002727, batch_cost=0.5759, reader_cost=0.0001 | ETA 01:30:36 2020-12-17 19:54:29 [INFO] [TRAIN] epoch=47, iter=30570/40000, loss=0.1697, lr=0.002724, batch_cost=0.5536, reader_cost=0.0001 | ETA 01:27:00 2020-12-17 19:54:34 [INFO] [TRAIN] epoch=47, iter=30580/40000, loss=0.2274, lr=0.002722, batch_cost=0.4910, reader_cost=0.0001 | ETA 01:17:05 2020-12-17 19:54:39 [INFO] [TRAIN] epoch=47, iter=30590/40000, loss=0.1960, lr=0.002719, batch_cost=0.4893, reader_cost=0.0001 | ETA 01:16:43 2020-12-17 19:54:44 [INFO] [TRAIN] epoch=47, iter=30600/40000, loss=0.1770, lr=0.002716, batch_cost=0.4899, reader_cost=0.0001 | ETA 01:16:44 2020-12-17 19:54:49 [INFO] [TRAIN] epoch=47, iter=30610/40000, loss=0.1647, lr=0.002714, batch_cost=0.4857, reader_cost=0.0001 | ETA 01:16:00 2020-12-17 19:54:54 [INFO] [TRAIN] epoch=47, iter=30620/40000, loss=0.1982, lr=0.002711, batch_cost=0.4934, reader_cost=0.0001 | ETA 01:17:07 2020-12-17 19:55:00 [INFO] [TRAIN] epoch=47, iter=30630/40000, loss=0.1874, lr=0.002709, batch_cost=0.6038, reader_cost=0.0001 | ETA 01:34:17 2020-12-17 19:55:05 [INFO] [TRAIN] epoch=47, iter=30640/40000, loss=0.2024, lr=0.002706, batch_cost=0.5305, reader_cost=0.0001 | ETA 01:22:45 2020-12-17 19:55:11 [INFO] [TRAIN] epoch=47, iter=30650/40000, loss=0.2390, lr=0.002703, batch_cost=0.6156, reader_cost=0.0001 | ETA 01:35:55 2020-12-17 19:55:16 [INFO] [TRAIN] epoch=47, iter=30660/40000, loss=0.2551, lr=0.002701, batch_cost=0.4891, reader_cost=0.0001 | ETA 01:16:08 2020-12-17 19:55:21 [INFO] [TRAIN] epoch=47, iter=30670/40000, loss=0.2660, lr=0.002698, batch_cost=0.4761, reader_cost=0.0001 | ETA 01:14:02 2020-12-17 19:55:26 [INFO] [TRAIN] epoch=47, iter=30680/40000, loss=0.1997, lr=0.002696, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:24:09 2020-12-17 19:55:32 [INFO] [TRAIN] epoch=47, iter=30690/40000, loss=0.1998, lr=0.002693, batch_cost=0.5497, reader_cost=0.0001 | ETA 01:25:17 2020-12-17 19:55:37 [INFO] [TRAIN] epoch=47, iter=30700/40000, loss=0.2132, lr=0.002690, batch_cost=0.4820, reader_cost=0.0001 | ETA 01:14:42 2020-12-17 19:55:43 [INFO] [TRAIN] epoch=47, iter=30710/40000, loss=0.3143, lr=0.002688, batch_cost=0.5862, reader_cost=0.0007 | ETA 01:30:45 2020-12-17 19:55:48 [INFO] [TRAIN] epoch=47, iter=30720/40000, loss=0.2163, lr=0.002685, batch_cost=0.5389, reader_cost=0.0004 | ETA 01:23:20 2020-12-17 19:55:53 [INFO] [TRAIN] epoch=47, iter=30730/40000, loss=0.1963, lr=0.002683, batch_cost=0.4992, reader_cost=0.0001 | ETA 01:17:07 2020-12-17 19:55:58 [INFO] [TRAIN] epoch=47, iter=30740/40000, loss=0.2332, lr=0.002680, batch_cost=0.4925, reader_cost=0.0001 | ETA 01:16:00 2020-12-17 19:56:03 [INFO] [TRAIN] epoch=47, iter=30750/40000, loss=0.1628, lr=0.002677, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:15:19 2020-12-17 19:56:08 [INFO] [TRAIN] epoch=47, iter=30760/40000, loss=0.1787, lr=0.002675, batch_cost=0.4972, reader_cost=0.0001 | ETA 01:16:33 2020-12-17 19:56:13 [INFO] [TRAIN] epoch=47, iter=30770/40000, loss=0.2123, lr=0.002672, batch_cost=0.4984, reader_cost=0.0001 | ETA 01:16:39 2020-12-17 19:56:18 [INFO] [TRAIN] epoch=47, iter=30780/40000, loss=0.2383, lr=0.002670, batch_cost=0.4950, reader_cost=0.0001 | ETA 01:16:03 2020-12-17 19:56:24 [INFO] [TRAIN] epoch=47, iter=30790/40000, loss=0.2329, lr=0.002667, batch_cost=0.5895, reader_cost=0.0001 | ETA 01:30:28 2020-12-17 19:56:31 [INFO] [TRAIN] epoch=47, iter=30800/40000, loss=0.2263, lr=0.002664, batch_cost=0.6929, reader_cost=0.0001 | ETA 01:46:14 2020-12-17 19:56:37 [INFO] [TRAIN] epoch=47, iter=30810/40000, loss=0.2200, lr=0.002662, batch_cost=0.5941, reader_cost=0.0004 | ETA 01:31:00 2020-12-17 19:56:42 [INFO] [TRAIN] epoch=47, iter=30820/40000, loss=0.2115, lr=0.002659, batch_cost=0.5718, reader_cost=0.0001 | ETA 01:27:28 2020-12-17 19:56:47 [INFO] [TRAIN] epoch=47, iter=30830/40000, loss=0.2556, lr=0.002657, batch_cost=0.4996, reader_cost=0.0001 | ETA 01:16:21 2020-12-17 19:56:52 [INFO] [TRAIN] epoch=47, iter=30840/40000, loss=0.1863, lr=0.002654, batch_cost=0.4822, reader_cost=0.0001 | ETA 01:13:36 2020-12-17 19:56:57 [INFO] [TRAIN] epoch=47, iter=30850/40000, loss=0.1888, lr=0.002651, batch_cost=0.5194, reader_cost=0.0001 | ETA 01:19:12 2020-12-17 19:57:02 [INFO] [TRAIN] epoch=47, iter=30860/40000, loss=0.1889, lr=0.002649, batch_cost=0.4954, reader_cost=0.0002 | ETA 01:15:27 2020-12-17 19:57:07 [INFO] [TRAIN] epoch=47, iter=30870/40000, loss=0.2333, lr=0.002646, batch_cost=0.4926, reader_cost=0.0001 | ETA 01:14:57 2020-12-17 19:57:12 [INFO] [TRAIN] epoch=47, iter=30880/40000, loss=0.2015, lr=0.002644, batch_cost=0.5100, reader_cost=0.0004 | ETA 01:17:31 2020-12-17 19:57:17 [INFO] [TRAIN] epoch=47, iter=30890/40000, loss=0.1925, lr=0.002641, batch_cost=0.4928, reader_cost=0.0001 | ETA 01:14:49 2020-12-17 19:57:22 [INFO] [TRAIN] epoch=47, iter=30900/40000, loss=0.2857, lr=0.002638, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:15:47 2020-12-17 19:57:27 [INFO] [TRAIN] epoch=47, iter=30910/40000, loss=0.2132, lr=0.002636, batch_cost=0.5089, reader_cost=0.0001 | ETA 01:17:05 2020-12-17 19:57:32 [INFO] [TRAIN] epoch=47, iter=30920/40000, loss=0.2312, lr=0.002633, batch_cost=0.5100, reader_cost=0.0001 | ETA 01:17:10 2020-12-17 19:57:37 [INFO] [TRAIN] epoch=47, iter=30930/40000, loss=0.2952, lr=0.002630, batch_cost=0.4852, reader_cost=0.0001 | ETA 01:13:20 2020-12-17 19:57:43 [INFO] [TRAIN] epoch=47, iter=30940/40000, loss=0.2285, lr=0.002628, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:21:28 2020-12-17 19:57:48 [INFO] [TRAIN] epoch=47, iter=30950/40000, loss=0.2207, lr=0.002625, batch_cost=0.5175, reader_cost=0.0001 | ETA 01:18:03 2020-12-17 19:57:53 [INFO] [TRAIN] epoch=47, iter=30960/40000, loss=0.3339, lr=0.002623, batch_cost=0.4894, reader_cost=0.0001 | ETA 01:13:43 2020-12-17 19:57:59 [INFO] [TRAIN] epoch=47, iter=30970/40000, loss=0.2343, lr=0.002620, batch_cost=0.6025, reader_cost=0.0001 | ETA 01:30:40 2020-12-17 19:58:04 [INFO] [TRAIN] epoch=47, iter=30980/40000, loss=0.1913, lr=0.002617, batch_cost=0.5095, reader_cost=0.0001 | ETA 01:16:35 2020-12-17 19:58:09 [INFO] [TRAIN] epoch=47, iter=30990/40000, loss=0.2191, lr=0.002615, batch_cost=0.5270, reader_cost=0.0001 | ETA 01:19:08 2020-12-17 19:58:15 [INFO] [TRAIN] epoch=47, iter=31000/40000, loss=0.1863, lr=0.002612, batch_cost=0.5562, reader_cost=0.0001 | ETA 01:23:25 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 19:58:15 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 19:58:37 [INFO] [EVAL] #Images=1449 mIoU=0.7822 Acc=0.9518 Kappa=0.8926 2020-12-17 19:58:37 [INFO] [EVAL] Class IoU: [0.9462 0.9031 0.4301 0.8991 0.7146 0.8216 0.9545 0.892 0.9362 0.4147 0.8973 0.515 0.8915 0.9029 0.8624 0.8721 0.5994 0.8797 0.4443 0.8767 0.7729] 2020-12-17 19:58:37 [INFO] [EVAL] Class Acc: [0.9651 0.9608 0.4514 0.9449 0.8221 0.9106 0.9802 0.9486 0.9609 0.5601 0.958 0.9615 0.9467 0.9468 0.944 0.9433 0.8503 0.935 0.8527 0.9268 0.9161] 2020-12-17 19:58:41 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 19:58:47 [INFO] [TRAIN] epoch=47, iter=31010/40000, loss=0.2155, lr=0.002610, batch_cost=0.6592, reader_cost=0.0104 | ETA 01:38:46 2020-12-17 19:58:52 [INFO] [TRAIN] epoch=47, iter=31020/40000, loss=0.2229, lr=0.002607, batch_cost=0.5063, reader_cost=0.0001 | ETA 01:15:46 2020-12-17 19:58:57 [INFO] [TRAIN] epoch=47, iter=31030/40000, loss=0.2595, lr=0.002604, batch_cost=0.4930, reader_cost=0.0001 | ETA 01:13:42 2020-12-17 19:59:02 [INFO] [TRAIN] epoch=47, iter=31040/40000, loss=0.1789, lr=0.002602, batch_cost=0.5096, reader_cost=0.0001 | ETA 01:16:06 2020-12-17 19:59:07 [INFO] [TRAIN] epoch=47, iter=31050/40000, loss=0.2460, lr=0.002599, batch_cost=0.4984, reader_cost=0.0001 | ETA 01:14:20 2020-12-17 19:59:12 [INFO] [TRAIN] epoch=47, iter=31060/40000, loss=0.2845, lr=0.002597, batch_cost=0.4924, reader_cost=0.0001 | ETA 01:13:22 2020-12-17 19:59:17 [INFO] [TRAIN] epoch=48, iter=31070/40000, loss=0.2514, lr=0.002594, batch_cost=0.4851, reader_cost=0.0265 | ETA 01:12:12 2020-12-17 19:59:22 [INFO] [TRAIN] epoch=48, iter=31080/40000, loss=0.1738, lr=0.002591, batch_cost=0.4902, reader_cost=0.0001 | ETA 01:12:52 2020-12-17 19:59:28 [INFO] [TRAIN] epoch=48, iter=31090/40000, loss=0.2156, lr=0.002589, batch_cost=0.5708, reader_cost=0.0043 | ETA 01:24:45 2020-12-17 19:59:33 [INFO] [TRAIN] epoch=48, iter=31100/40000, loss=0.2720, lr=0.002586, batch_cost=0.5100, reader_cost=0.0009 | ETA 01:15:39 2020-12-17 19:59:38 [INFO] [TRAIN] epoch=48, iter=31110/40000, loss=0.2823, lr=0.002583, batch_cost=0.4944, reader_cost=0.0001 | ETA 01:13:15 2020-12-17 19:59:43 [INFO] [TRAIN] epoch=48, iter=31120/40000, loss=0.1668, lr=0.002581, batch_cost=0.5007, reader_cost=0.0001 | ETA 01:14:06 2020-12-17 19:59:48 [INFO] [TRAIN] epoch=48, iter=31130/40000, loss=0.2091, lr=0.002578, batch_cost=0.5130, reader_cost=0.0001 | ETA 01:15:50 2020-12-17 19:59:53 [INFO] [TRAIN] epoch=48, iter=31140/40000, loss=0.1803, lr=0.002576, batch_cost=0.5052, reader_cost=0.0013 | ETA 01:14:35 2020-12-17 19:59:58 [INFO] [TRAIN] epoch=48, iter=31150/40000, loss=0.2567, lr=0.002573, batch_cost=0.4977, reader_cost=0.0001 | ETA 01:13:24 2020-12-17 20:00:03 [INFO] [TRAIN] epoch=48, iter=31160/40000, loss=0.1964, lr=0.002570, batch_cost=0.5022, reader_cost=0.0001 | ETA 01:13:59 2020-12-17 20:00:08 [INFO] [TRAIN] epoch=48, iter=31170/40000, loss=0.2383, lr=0.002568, batch_cost=0.5069, reader_cost=0.0001 | ETA 01:14:35 2020-12-17 20:00:13 [INFO] [TRAIN] epoch=48, iter=31180/40000, loss=0.2489, lr=0.002565, batch_cost=0.4934, reader_cost=0.0001 | ETA 01:12:32 2020-12-17 20:00:18 [INFO] [TRAIN] epoch=48, iter=31190/40000, loss=0.2209, lr=0.002563, batch_cost=0.4980, reader_cost=0.0001 | ETA 01:13:07 2020-12-17 20:00:23 [INFO] [TRAIN] epoch=48, iter=31200/40000, loss=0.1964, lr=0.002560, batch_cost=0.4861, reader_cost=0.0001 | ETA 01:11:17 2020-12-17 20:00:28 [INFO] [TRAIN] epoch=48, iter=31210/40000, loss=0.1847, lr=0.002557, batch_cost=0.4963, reader_cost=0.0001 | ETA 01:12:42 2020-12-17 20:00:33 [INFO] [TRAIN] epoch=48, iter=31220/40000, loss=0.1972, lr=0.002555, batch_cost=0.4828, reader_cost=0.0001 | ETA 01:10:39 2020-12-17 20:00:38 [INFO] [TRAIN] epoch=48, iter=31230/40000, loss=0.1941, lr=0.002552, batch_cost=0.5070, reader_cost=0.0001 | ETA 01:14:06 2020-12-17 20:00:43 [INFO] [TRAIN] epoch=48, iter=31240/40000, loss=0.1904, lr=0.002549, batch_cost=0.4885, reader_cost=0.0001 | ETA 01:11:19 2020-12-17 20:00:47 [INFO] [TRAIN] epoch=48, iter=31250/40000, loss=0.1894, lr=0.002547, batch_cost=0.4908, reader_cost=0.0001 | ETA 01:11:34 2020-12-17 20:00:53 [INFO] [TRAIN] epoch=48, iter=31260/40000, loss=0.2681, lr=0.002544, batch_cost=0.5051, reader_cost=0.0001 | ETA 01:13:34 2020-12-17 20:00:57 [INFO] [TRAIN] epoch=48, iter=31270/40000, loss=0.2174, lr=0.002542, batch_cost=0.4892, reader_cost=0.0001 | ETA 01:11:10 2020-12-17 20:01:02 [INFO] [TRAIN] epoch=48, iter=31280/40000, loss=0.2312, lr=0.002539, batch_cost=0.5012, reader_cost=0.0001 | ETA 01:12:50 2020-12-17 20:01:07 [INFO] [TRAIN] epoch=48, iter=31290/40000, loss=0.2427, lr=0.002536, batch_cost=0.5080, reader_cost=0.0001 | ETA 01:13:44 2020-12-17 20:01:13 [INFO] [TRAIN] epoch=48, iter=31300/40000, loss=0.1751, lr=0.002534, batch_cost=0.5040, reader_cost=0.0001 | ETA 01:13:04 2020-12-17 20:01:18 [INFO] [TRAIN] epoch=48, iter=31310/40000, loss=0.2229, lr=0.002531, batch_cost=0.5057, reader_cost=0.0001 | ETA 01:13:14 2020-12-17 20:01:23 [INFO] [TRAIN] epoch=48, iter=31320/40000, loss=0.1899, lr=0.002528, batch_cost=0.5027, reader_cost=0.0001 | ETA 01:12:43 2020-12-17 20:01:28 [INFO] [TRAIN] epoch=48, iter=31330/40000, loss=0.2359, lr=0.002526, batch_cost=0.4953, reader_cost=0.0001 | ETA 01:11:34 2020-12-17 20:01:33 [INFO] [TRAIN] epoch=48, iter=31340/40000, loss=0.2205, lr=0.002523, batch_cost=0.5104, reader_cost=0.0001 | ETA 01:13:40 2020-12-17 20:01:38 [INFO] [TRAIN] epoch=48, iter=31350/40000, loss=0.1870, lr=0.002521, batch_cost=0.4983, reader_cost=0.0001 | ETA 01:11:49 2020-12-17 20:01:43 [INFO] [TRAIN] epoch=48, iter=31360/40000, loss=0.1909, lr=0.002518, batch_cost=0.4871, reader_cost=0.0001 | ETA 01:10:08 2020-12-17 20:01:47 [INFO] [TRAIN] epoch=48, iter=31370/40000, loss=0.2103, lr=0.002515, batch_cost=0.4860, reader_cost=0.0001 | ETA 01:09:54 2020-12-17 20:01:52 [INFO] [TRAIN] epoch=48, iter=31380/40000, loss=0.2305, lr=0.002513, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:10:11 2020-12-17 20:01:57 [INFO] [TRAIN] epoch=48, iter=31390/40000, loss=0.2590, lr=0.002510, batch_cost=0.4947, reader_cost=0.0001 | ETA 01:10:59 2020-12-17 20:02:02 [INFO] [TRAIN] epoch=48, iter=31400/40000, loss=0.2981, lr=0.002507, batch_cost=0.5032, reader_cost=0.0001 | ETA 01:12:07 2020-12-17 20:02:07 [INFO] [TRAIN] epoch=48, iter=31410/40000, loss=0.1650, lr=0.002505, batch_cost=0.4950, reader_cost=0.0001 | ETA 01:10:51 2020-12-17 20:02:12 [INFO] [TRAIN] epoch=48, iter=31420/40000, loss=0.2633, lr=0.002502, batch_cost=0.5021, reader_cost=0.0001 | ETA 01:11:48 2020-12-17 20:02:17 [INFO] [TRAIN] epoch=48, iter=31430/40000, loss=0.1681, lr=0.002500, batch_cost=0.4876, reader_cost=0.0001 | ETA 01:09:38 2020-12-17 20:02:22 [INFO] [TRAIN] epoch=48, iter=31440/40000, loss=0.2434, lr=0.002497, batch_cost=0.5162, reader_cost=0.0001 | ETA 01:13:38 2020-12-17 20:02:27 [INFO] [TRAIN] epoch=48, iter=31450/40000, loss=0.2213, lr=0.002494, batch_cost=0.5100, reader_cost=0.0001 | ETA 01:12:40 2020-12-17 20:02:32 [INFO] [TRAIN] epoch=48, iter=31460/40000, loss=0.1889, lr=0.002492, batch_cost=0.4837, reader_cost=0.0001 | ETA 01:08:50 2020-12-17 20:02:37 [INFO] [TRAIN] epoch=48, iter=31470/40000, loss=0.1616, lr=0.002489, batch_cost=0.4954, reader_cost=0.0001 | ETA 01:10:25 2020-12-17 20:02:42 [INFO] [TRAIN] epoch=48, iter=31480/40000, loss=0.1725, lr=0.002486, batch_cost=0.5056, reader_cost=0.0001 | ETA 01:11:48 2020-12-17 20:02:47 [INFO] [TRAIN] epoch=48, iter=31490/40000, loss=0.2272, lr=0.002484, batch_cost=0.4926, reader_cost=0.0001 | ETA 01:09:52 2020-12-17 20:02:52 [INFO] [TRAIN] epoch=48, iter=31500/40000, loss=0.1723, lr=0.002481, batch_cost=0.5078, reader_cost=0.0001 | ETA 01:11:56 2020-12-17 20:02:57 [INFO] [TRAIN] epoch=48, iter=31510/40000, loss=0.1716, lr=0.002479, batch_cost=0.4986, reader_cost=0.0001 | ETA 01:10:33 2020-12-17 20:03:02 [INFO] [TRAIN] epoch=48, iter=31520/40000, loss=0.2213, lr=0.002476, batch_cost=0.5113, reader_cost=0.0001 | ETA 01:12:15 2020-12-17 20:03:07 [INFO] [TRAIN] epoch=48, iter=31530/40000, loss=0.1978, lr=0.002473, batch_cost=0.5026, reader_cost=0.0001 | ETA 01:10:56 2020-12-17 20:03:12 [INFO] [TRAIN] epoch=48, iter=31540/40000, loss=0.2155, lr=0.002471, batch_cost=0.4959, reader_cost=0.0001 | ETA 01:09:55 2020-12-17 20:03:17 [INFO] [TRAIN] epoch=48, iter=31550/40000, loss=0.2083, lr=0.002468, batch_cost=0.4822, reader_cost=0.0001 | ETA 01:07:54 2020-12-17 20:03:22 [INFO] [TRAIN] epoch=48, iter=31560/40000, loss=0.2410, lr=0.002465, batch_cost=0.4932, reader_cost=0.0001 | ETA 01:09:22 2020-12-17 20:03:27 [INFO] [TRAIN] epoch=48, iter=31570/40000, loss=0.2189, lr=0.002463, batch_cost=0.4898, reader_cost=0.0001 | ETA 01:08:49 2020-12-17 20:03:32 [INFO] [TRAIN] epoch=48, iter=31580/40000, loss=0.1892, lr=0.002460, batch_cost=0.4956, reader_cost=0.0001 | ETA 01:09:32 2020-12-17 20:03:37 [INFO] [TRAIN] epoch=48, iter=31590/40000, loss=0.2477, lr=0.002458, batch_cost=0.4993, reader_cost=0.0001 | ETA 01:09:58 2020-12-17 20:03:42 [INFO] [TRAIN] epoch=48, iter=31600/40000, loss=0.2046, lr=0.002455, batch_cost=0.4868, reader_cost=0.0001 | ETA 01:08:08 2020-12-17 20:03:47 [INFO] [TRAIN] epoch=48, iter=31610/40000, loss=0.3003, lr=0.002452, batch_cost=0.5063, reader_cost=0.0001 | ETA 01:10:48 2020-12-17 20:03:52 [INFO] [TRAIN] epoch=48, iter=31620/40000, loss=0.2028, lr=0.002450, batch_cost=0.5069, reader_cost=0.0001 | ETA 01:10:47 2020-12-17 20:03:57 [INFO] [TRAIN] epoch=48, iter=31630/40000, loss=0.2186, lr=0.002447, batch_cost=0.4959, reader_cost=0.0001 | ETA 01:09:10 2020-12-17 20:04:02 [INFO] [TRAIN] epoch=48, iter=31640/40000, loss=0.2441, lr=0.002444, batch_cost=0.4955, reader_cost=0.0001 | ETA 01:09:02 2020-12-17 20:04:07 [INFO] [TRAIN] epoch=48, iter=31650/40000, loss=0.2474, lr=0.002442, batch_cost=0.4954, reader_cost=0.0001 | ETA 01:08:56 2020-12-17 20:04:12 [INFO] [TRAIN] epoch=48, iter=31660/40000, loss=0.2385, lr=0.002439, batch_cost=0.5031, reader_cost=0.0001 | ETA 01:09:56 2020-12-17 20:04:17 [INFO] [TRAIN] epoch=48, iter=31670/40000, loss=0.2144, lr=0.002437, batch_cost=0.4927, reader_cost=0.0001 | ETA 01:08:23 2020-12-17 20:04:22 [INFO] [TRAIN] epoch=48, iter=31680/40000, loss=0.2634, lr=0.002434, batch_cost=0.4970, reader_cost=0.0001 | ETA 01:08:55 2020-12-17 20:04:27 [INFO] [TRAIN] epoch=48, iter=31690/40000, loss=0.1703, lr=0.002431, batch_cost=0.4879, reader_cost=0.0001 | ETA 01:07:34 2020-12-17 20:04:32 [INFO] [TRAIN] epoch=48, iter=31700/40000, loss=0.2431, lr=0.002429, batch_cost=0.5201, reader_cost=0.0001 | ETA 01:11:56 2020-12-17 20:04:37 [INFO] [TRAIN] epoch=48, iter=31710/40000, loss=0.2360, lr=0.002426, batch_cost=0.5124, reader_cost=0.0001 | ETA 01:10:47 2020-12-17 20:04:42 [INFO] [TRAIN] epoch=48, iter=31720/40000, loss=0.2669, lr=0.002423, batch_cost=0.5051, reader_cost=0.0001 | ETA 01:09:42 2020-12-17 20:04:47 [INFO] [TRAIN] epoch=49, iter=31730/40000, loss=0.2337, lr=0.002421, batch_cost=0.4764, reader_cost=0.0325 | ETA 01:05:39 2020-12-17 20:04:52 [INFO] [TRAIN] epoch=49, iter=31740/40000, loss=0.1342, lr=0.002418, batch_cost=0.4903, reader_cost=0.0001 | ETA 01:07:29 2020-12-17 20:04:57 [INFO] [TRAIN] epoch=49, iter=31750/40000, loss=0.2402, lr=0.002415, batch_cost=0.5088, reader_cost=0.0001 | ETA 01:09:57 2020-12-17 20:05:02 [INFO] [TRAIN] epoch=49, iter=31760/40000, loss=0.1884, lr=0.002413, batch_cost=0.5010, reader_cost=0.0001 | ETA 01:08:47 2020-12-17 20:05:07 [INFO] [TRAIN] epoch=49, iter=31770/40000, loss=0.2157, lr=0.002410, batch_cost=0.5004, reader_cost=0.0001 | ETA 01:08:38 2020-12-17 20:05:12 [INFO] [TRAIN] epoch=49, iter=31780/40000, loss=0.1785, lr=0.002408, batch_cost=0.5039, reader_cost=0.0001 | ETA 01:09:02 2020-12-17 20:05:17 [INFO] [TRAIN] epoch=49, iter=31790/40000, loss=0.2375, lr=0.002405, batch_cost=0.4929, reader_cost=0.0001 | ETA 01:07:26 2020-12-17 20:05:22 [INFO] [TRAIN] epoch=49, iter=31800/40000, loss=0.2254, lr=0.002402, batch_cost=0.5123, reader_cost=0.0001 | ETA 01:10:01 2020-12-17 20:05:27 [INFO] [TRAIN] epoch=49, iter=31810/40000, loss=0.1720, lr=0.002400, batch_cost=0.5072, reader_cost=0.0001 | ETA 01:09:13 2020-12-17 20:05:32 [INFO] [TRAIN] epoch=49, iter=31820/40000, loss=0.2090, lr=0.002397, batch_cost=0.5001, reader_cost=0.0001 | ETA 01:08:10 2020-12-17 20:05:37 [INFO] [TRAIN] epoch=49, iter=31830/40000, loss=0.1498, lr=0.002394, batch_cost=0.5014, reader_cost=0.0001 | ETA 01:08:16 2020-12-17 20:05:42 [INFO] [TRAIN] epoch=49, iter=31840/40000, loss=0.2610, lr=0.002392, batch_cost=0.5079, reader_cost=0.0001 | ETA 01:09:04 2020-12-17 20:05:47 [INFO] [TRAIN] epoch=49, iter=31850/40000, loss=0.1656, lr=0.002389, batch_cost=0.5016, reader_cost=0.0001 | ETA 01:08:08 2020-12-17 20:05:52 [INFO] [TRAIN] epoch=49, iter=31860/40000, loss=0.2446, lr=0.002386, batch_cost=0.4992, reader_cost=0.0001 | ETA 01:07:43 2020-12-17 20:05:57 [INFO] [TRAIN] epoch=49, iter=31870/40000, loss=0.2357, lr=0.002384, batch_cost=0.5017, reader_cost=0.0001 | ETA 01:07:58 2020-12-17 20:06:02 [INFO] [TRAIN] epoch=49, iter=31880/40000, loss=0.1890, lr=0.002381, batch_cost=0.4983, reader_cost=0.0001 | ETA 01:07:26 2020-12-17 20:06:07 [INFO] [TRAIN] epoch=49, iter=31890/40000, loss=0.1852, lr=0.002379, batch_cost=0.4968, reader_cost=0.0001 | ETA 01:07:09 2020-12-17 20:06:12 [INFO] [TRAIN] epoch=49, iter=31900/40000, loss=0.2266, lr=0.002376, batch_cost=0.5074, reader_cost=0.0001 | ETA 01:08:29 2020-12-17 20:06:17 [INFO] [TRAIN] epoch=49, iter=31910/40000, loss=0.1703, lr=0.002373, batch_cost=0.4907, reader_cost=0.0001 | ETA 01:06:09 2020-12-17 20:06:22 [INFO] [TRAIN] epoch=49, iter=31920/40000, loss=0.1701, lr=0.002371, batch_cost=0.4822, reader_cost=0.0001 | ETA 01:04:55 2020-12-17 20:06:27 [INFO] [TRAIN] epoch=49, iter=31930/40000, loss=0.1475, lr=0.002368, batch_cost=0.5240, reader_cost=0.0001 | ETA 01:10:28 2020-12-17 20:06:32 [INFO] [TRAIN] epoch=49, iter=31940/40000, loss=0.1969, lr=0.002365, batch_cost=0.4977, reader_cost=0.0001 | ETA 01:06:51 2020-12-17 20:06:37 [INFO] [TRAIN] epoch=49, iter=31950/40000, loss=0.1929, lr=0.002363, batch_cost=0.4989, reader_cost=0.0001 | ETA 01:06:56 2020-12-17 20:06:42 [INFO] [TRAIN] epoch=49, iter=31960/40000, loss=0.1801, lr=0.002360, batch_cost=0.5104, reader_cost=0.0001 | ETA 01:08:23 2020-12-17 20:06:47 [INFO] [TRAIN] epoch=49, iter=31970/40000, loss=0.2118, lr=0.002357, batch_cost=0.5012, reader_cost=0.0001 | ETA 01:07:04 2020-12-17 20:06:52 [INFO] [TRAIN] epoch=49, iter=31980/40000, loss=0.2323, lr=0.002355, batch_cost=0.4942, reader_cost=0.0001 | ETA 01:06:03 2020-12-17 20:06:57 [INFO] [TRAIN] epoch=49, iter=31990/40000, loss=0.2940, lr=0.002352, batch_cost=0.5023, reader_cost=0.0001 | ETA 01:07:03 2020-12-17 20:07:02 [INFO] [TRAIN] epoch=49, iter=32000/40000, loss=0.2545, lr=0.002350, batch_cost=0.4876, reader_cost=0.0001 | ETA 01:05:00 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:07:02 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 20:07:23 [INFO] [EVAL] #Images=1449 mIoU=0.7818 Acc=0.9514 Kappa=0.8913 2020-12-17 20:07:23 [INFO] [EVAL] Class IoU: [0.9444 0.8901 0.4382 0.8993 0.6845 0.8482 0.9533 0.8949 0.9338 0.412 0.8893 0.515 0.8911 0.8978 0.8728 0.8705 0.5955 0.8808 0.4096 0.9055 0.7903] 2020-12-17 20:07:23 [INFO] [EVAL] Class Acc: [0.9629 0.9342 0.4539 0.9481 0.8288 0.9141 0.9796 0.95 0.9593 0.6262 0.9566 0.9516 0.9388 0.937 0.9349 0.9436 0.8389 0.9439 0.824 0.9555 0.9543] 2020-12-17 20:07:27 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 20:07:32 [INFO] [TRAIN] epoch=49, iter=32010/40000, loss=0.2077, lr=0.002347, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:06:32 2020-12-17 20:07:37 [INFO] [TRAIN] epoch=49, iter=32020/40000, loss=0.2279, lr=0.002344, batch_cost=0.4970, reader_cost=0.0001 | ETA 01:06:06 2020-12-17 20:07:42 [INFO] [TRAIN] epoch=49, iter=32030/40000, loss=0.2188, lr=0.002342, batch_cost=0.5052, reader_cost=0.0001 | ETA 01:07:06 2020-12-17 20:07:47 [INFO] [TRAIN] epoch=49, iter=32040/40000, loss=0.2046, lr=0.002339, batch_cost=0.5031, reader_cost=0.0001 | ETA 01:06:44 2020-12-17 20:07:52 [INFO] [TRAIN] epoch=49, iter=32050/40000, loss=0.2193, lr=0.002336, batch_cost=0.4820, reader_cost=0.0001 | ETA 01:03:52 2020-12-17 20:07:57 [INFO] [TRAIN] epoch=49, iter=32060/40000, loss=0.1709, lr=0.002334, batch_cost=0.5074, reader_cost=0.0001 | ETA 01:07:08 2020-12-17 20:08:02 [INFO] [TRAIN] epoch=49, iter=32070/40000, loss=0.1907, lr=0.002331, batch_cost=0.4993, reader_cost=0.0001 | ETA 01:05:59 2020-12-17 20:08:07 [INFO] [TRAIN] epoch=49, iter=32080/40000, loss=0.2567, lr=0.002328, batch_cost=0.5233, reader_cost=0.0001 | ETA 01:09:04 2020-12-17 20:08:12 [INFO] [TRAIN] epoch=49, iter=32090/40000, loss=0.1906, lr=0.002326, batch_cost=0.4980, reader_cost=0.0001 | ETA 01:05:39 2020-12-17 20:08:17 [INFO] [TRAIN] epoch=49, iter=32100/40000, loss=0.1785, lr=0.002323, batch_cost=0.4872, reader_cost=0.0001 | ETA 01:04:09 2020-12-17 20:08:22 [INFO] [TRAIN] epoch=49, iter=32110/40000, loss=0.2558, lr=0.002320, batch_cost=0.5078, reader_cost=0.0001 | ETA 01:06:46 2020-12-17 20:08:27 [INFO] [TRAIN] epoch=49, iter=32120/40000, loss=0.2320, lr=0.002318, batch_cost=0.4965, reader_cost=0.0001 | ETA 01:05:12 2020-12-17 20:08:32 [INFO] [TRAIN] epoch=49, iter=32130/40000, loss=0.1681, lr=0.002315, batch_cost=0.4886, reader_cost=0.0001 | ETA 01:04:05 2020-12-17 20:08:37 [INFO] [TRAIN] epoch=49, iter=32140/40000, loss=0.2564, lr=0.002312, batch_cost=0.5107, reader_cost=0.0001 | ETA 01:06:54 2020-12-17 20:08:42 [INFO] [TRAIN] epoch=49, iter=32150/40000, loss=0.2359, lr=0.002310, batch_cost=0.4902, reader_cost=0.0001 | ETA 01:04:08 2020-12-17 20:08:47 [INFO] [TRAIN] epoch=49, iter=32160/40000, loss=0.2645, lr=0.002307, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:05:17 2020-12-17 20:08:52 [INFO] [TRAIN] epoch=49, iter=32170/40000, loss=0.2555, lr=0.002305, batch_cost=0.4897, reader_cost=0.0001 | ETA 01:03:54 2020-12-17 20:08:57 [INFO] [TRAIN] epoch=49, iter=32180/40000, loss=0.2284, lr=0.002302, batch_cost=0.5011, reader_cost=0.0001 | ETA 01:05:18 2020-12-17 20:09:02 [INFO] [TRAIN] epoch=49, iter=32190/40000, loss=0.2124, lr=0.002299, batch_cost=0.4988, reader_cost=0.0001 | ETA 01:04:55 2020-12-17 20:09:07 [INFO] [TRAIN] epoch=49, iter=32200/40000, loss=0.1928, lr=0.002297, batch_cost=0.5182, reader_cost=0.0001 | ETA 01:07:21 2020-12-17 20:09:12 [INFO] [TRAIN] epoch=49, iter=32210/40000, loss=0.2144, lr=0.002294, batch_cost=0.5010, reader_cost=0.0001 | ETA 01:05:02 2020-12-17 20:09:17 [INFO] [TRAIN] epoch=49, iter=32220/40000, loss=0.1797, lr=0.002291, batch_cost=0.5001, reader_cost=0.0001 | ETA 01:04:50 2020-12-17 20:09:22 [INFO] [TRAIN] epoch=49, iter=32230/40000, loss=0.2520, lr=0.002289, batch_cost=0.4990, reader_cost=0.0001 | ETA 01:04:37 2020-12-17 20:09:27 [INFO] [TRAIN] epoch=49, iter=32240/40000, loss=0.2385, lr=0.002286, batch_cost=0.5161, reader_cost=0.0001 | ETA 01:06:44 2020-12-17 20:09:32 [INFO] [TRAIN] epoch=49, iter=32250/40000, loss=0.1746, lr=0.002283, batch_cost=0.4997, reader_cost=0.0001 | ETA 01:04:32 2020-12-17 20:09:37 [INFO] [TRAIN] epoch=49, iter=32260/40000, loss=0.2067, lr=0.002281, batch_cost=0.4923, reader_cost=0.0001 | ETA 01:03:30 2020-12-17 20:09:42 [INFO] [TRAIN] epoch=49, iter=32270/40000, loss=0.1911, lr=0.002278, batch_cost=0.4825, reader_cost=0.0001 | ETA 01:02:09 2020-12-17 20:09:47 [INFO] [TRAIN] epoch=49, iter=32280/40000, loss=0.1930, lr=0.002275, batch_cost=0.5139, reader_cost=0.0001 | ETA 01:06:07 2020-12-17 20:09:52 [INFO] [TRAIN] epoch=49, iter=32290/40000, loss=0.2631, lr=0.002273, batch_cost=0.4989, reader_cost=0.0001 | ETA 01:04:06 2020-12-17 20:09:57 [INFO] [TRAIN] epoch=49, iter=32300/40000, loss=0.2128, lr=0.002270, batch_cost=0.4943, reader_cost=0.0001 | ETA 01:03:25 2020-12-17 20:10:02 [INFO] [TRAIN] epoch=49, iter=32310/40000, loss=0.2384, lr=0.002267, batch_cost=0.4942, reader_cost=0.0001 | ETA 01:03:20 2020-12-17 20:10:07 [INFO] [TRAIN] epoch=49, iter=32320/40000, loss=0.2760, lr=0.002265, batch_cost=0.5032, reader_cost=0.0001 | ETA 01:04:24 2020-12-17 20:10:12 [INFO] [TRAIN] epoch=49, iter=32330/40000, loss=0.1631, lr=0.002262, batch_cost=0.4914, reader_cost=0.0001 | ETA 01:02:48 2020-12-17 20:10:17 [INFO] [TRAIN] epoch=49, iter=32340/40000, loss=0.2749, lr=0.002259, batch_cost=0.5030, reader_cost=0.0001 | ETA 01:04:13 2020-12-17 20:10:22 [INFO] [TRAIN] epoch=49, iter=32350/40000, loss=0.2021, lr=0.002257, batch_cost=0.5008, reader_cost=0.0001 | ETA 01:03:51 2020-12-17 20:10:27 [INFO] [TRAIN] epoch=49, iter=32360/40000, loss=0.1834, lr=0.002254, batch_cost=0.5109, reader_cost=0.0001 | ETA 01:05:03 2020-12-17 20:10:32 [INFO] [TRAIN] epoch=49, iter=32370/40000, loss=0.2416, lr=0.002251, batch_cost=0.4890, reader_cost=0.0001 | ETA 01:02:11 2020-12-17 20:10:37 [INFO] [TRAIN] epoch=49, iter=32380/40000, loss=0.1931, lr=0.002249, batch_cost=0.4966, reader_cost=0.0001 | ETA 01:03:04 2020-12-17 20:10:42 [INFO] [TRAIN] epoch=50, iter=32390/40000, loss=0.2020, lr=0.002246, batch_cost=0.4926, reader_cost=0.0302 | ETA 01:02:28 2020-12-17 20:10:47 [INFO] [TRAIN] epoch=50, iter=32400/40000, loss=0.2164, lr=0.002244, batch_cost=0.4792, reader_cost=0.0001 | ETA 01:00:41 2020-12-17 20:10:52 [INFO] [TRAIN] epoch=50, iter=32410/40000, loss=0.1670, lr=0.002241, batch_cost=0.5192, reader_cost=0.0004 | ETA 01:05:41 2020-12-17 20:10:57 [INFO] [TRAIN] epoch=50, iter=32420/40000, loss=0.1813, lr=0.002238, batch_cost=0.5117, reader_cost=0.0001 | ETA 01:04:38 2020-12-17 20:11:02 [INFO] [TRAIN] epoch=50, iter=32430/40000, loss=0.1868, lr=0.002236, batch_cost=0.5075, reader_cost=0.0001 | ETA 01:04:01 2020-12-17 20:11:07 [INFO] [TRAIN] epoch=50, iter=32440/40000, loss=0.2083, lr=0.002233, batch_cost=0.5030, reader_cost=0.0001 | ETA 01:03:22 2020-12-17 20:11:12 [INFO] [TRAIN] epoch=50, iter=32450/40000, loss=0.2280, lr=0.002230, batch_cost=0.5033, reader_cost=0.0001 | ETA 01:03:19 2020-12-17 20:11:17 [INFO] [TRAIN] epoch=50, iter=32460/40000, loss=0.2130, lr=0.002228, batch_cost=0.5091, reader_cost=0.0001 | ETA 01:03:58 2020-12-17 20:11:22 [INFO] [TRAIN] epoch=50, iter=32470/40000, loss=0.1469, lr=0.002225, batch_cost=0.4922, reader_cost=0.0001 | ETA 01:01:46 2020-12-17 20:11:27 [INFO] [TRAIN] epoch=50, iter=32480/40000, loss=0.1758, lr=0.002222, batch_cost=0.5076, reader_cost=0.0001 | ETA 01:03:37 2020-12-17 20:11:32 [INFO] [TRAIN] epoch=50, iter=32490/40000, loss=0.2496, lr=0.002220, batch_cost=0.5056, reader_cost=0.0001 | ETA 01:03:16 2020-12-17 20:11:38 [INFO] [TRAIN] epoch=50, iter=32500/40000, loss=0.1989, lr=0.002217, batch_cost=0.5025, reader_cost=0.0001 | ETA 01:02:48 2020-12-17 20:11:42 [INFO] [TRAIN] epoch=50, iter=32510/40000, loss=0.1643, lr=0.002214, batch_cost=0.4951, reader_cost=0.0001 | ETA 01:01:47 2020-12-17 20:11:47 [INFO] [TRAIN] epoch=50, iter=32520/40000, loss=0.1992, lr=0.002212, batch_cost=0.4983, reader_cost=0.0001 | ETA 01:02:06 2020-12-17 20:11:52 [INFO] [TRAIN] epoch=50, iter=32530/40000, loss=0.2171, lr=0.002209, batch_cost=0.5006, reader_cost=0.0001 | ETA 01:02:19 2020-12-17 20:11:57 [INFO] [TRAIN] epoch=50, iter=32540/40000, loss=0.1734, lr=0.002206, batch_cost=0.5008, reader_cost=0.0001 | ETA 01:02:16 2020-12-17 20:12:02 [INFO] [TRAIN] epoch=50, iter=32550/40000, loss=0.2150, lr=0.002204, batch_cost=0.4909, reader_cost=0.0004 | ETA 01:00:56 2020-12-17 20:12:07 [INFO] [TRAIN] epoch=50, iter=32560/40000, loss=0.1950, lr=0.002201, batch_cost=0.4959, reader_cost=0.0001 | ETA 01:01:29 2020-12-17 20:12:12 [INFO] [TRAIN] epoch=50, iter=32570/40000, loss=0.2031, lr=0.002198, batch_cost=0.5025, reader_cost=0.0001 | ETA 01:02:13 2020-12-17 20:12:17 [INFO] [TRAIN] epoch=50, iter=32580/40000, loss=0.2308, lr=0.002196, batch_cost=0.4964, reader_cost=0.0001 | ETA 01:01:23 2020-12-17 20:12:22 [INFO] [TRAIN] epoch=50, iter=32590/40000, loss=0.2326, lr=0.002193, batch_cost=0.4952, reader_cost=0.0001 | ETA 01:01:09 2020-12-17 20:12:27 [INFO] [TRAIN] epoch=50, iter=32600/40000, loss=0.2680, lr=0.002190, batch_cost=0.5068, reader_cost=0.0001 | ETA 01:02:30 2020-12-17 20:12:32 [INFO] [TRAIN] epoch=50, iter=32610/40000, loss=0.1933, lr=0.002188, batch_cost=0.5092, reader_cost=0.0001 | ETA 01:02:42 2020-12-17 20:12:37 [INFO] [TRAIN] epoch=50, iter=32620/40000, loss=0.1974, lr=0.002185, batch_cost=0.5031, reader_cost=0.0001 | ETA 01:01:52 2020-12-17 20:12:42 [INFO] [TRAIN] epoch=50, iter=32630/40000, loss=0.2101, lr=0.002182, batch_cost=0.4970, reader_cost=0.0001 | ETA 01:01:02 2020-12-17 20:12:47 [INFO] [TRAIN] epoch=50, iter=32640/40000, loss=0.1721, lr=0.002180, batch_cost=0.4923, reader_cost=0.0001 | ETA 01:00:23 2020-12-17 20:12:52 [INFO] [TRAIN] epoch=50, iter=32650/40000, loss=0.1936, lr=0.002177, batch_cost=0.4906, reader_cost=0.0001 | ETA 01:00:06 2020-12-17 20:12:57 [INFO] [TRAIN] epoch=50, iter=32660/40000, loss=0.2257, lr=0.002174, batch_cost=0.4859, reader_cost=0.0001 | ETA 00:59:26 2020-12-17 20:13:02 [INFO] [TRAIN] epoch=50, iter=32670/40000, loss=0.1248, lr=0.002172, batch_cost=0.4968, reader_cost=0.0001 | ETA 01:00:41 2020-12-17 20:13:07 [INFO] [TRAIN] epoch=50, iter=32680/40000, loss=0.2373, lr=0.002169, batch_cost=0.5259, reader_cost=0.0001 | ETA 01:04:09 2020-12-17 20:13:12 [INFO] [TRAIN] epoch=50, iter=32690/40000, loss=0.3133, lr=0.002166, batch_cost=0.5001, reader_cost=0.0001 | ETA 01:00:55 2020-12-17 20:13:17 [INFO] [TRAIN] epoch=50, iter=32700/40000, loss=0.1975, lr=0.002164, batch_cost=0.4850, reader_cost=0.0001 | ETA 00:59:00 2020-12-17 20:13:22 [INFO] [TRAIN] epoch=50, iter=32710/40000, loss=0.1777, lr=0.002161, batch_cost=0.5076, reader_cost=0.0001 | ETA 01:01:40 2020-12-17 20:13:27 [INFO] [TRAIN] epoch=50, iter=32720/40000, loss=0.2104, lr=0.002158, batch_cost=0.4932, reader_cost=0.0001 | ETA 00:59:50 2020-12-17 20:13:32 [INFO] [TRAIN] epoch=50, iter=32730/40000, loss=0.2450, lr=0.002156, batch_cost=0.4981, reader_cost=0.0001 | ETA 01:00:21 2020-12-17 20:13:37 [INFO] [TRAIN] epoch=50, iter=32740/40000, loss=0.2405, lr=0.002153, batch_cost=0.4945, reader_cost=0.0001 | ETA 00:59:50 2020-12-17 20:13:42 [INFO] [TRAIN] epoch=50, iter=32750/40000, loss=0.2066, lr=0.002150, batch_cost=0.4912, reader_cost=0.0001 | ETA 00:59:21 2020-12-17 20:13:47 [INFO] [TRAIN] epoch=50, iter=32760/40000, loss=0.1961, lr=0.002148, batch_cost=0.4867, reader_cost=0.0001 | ETA 00:58:43 2020-12-17 20:13:52 [INFO] [TRAIN] epoch=50, iter=32770/40000, loss=0.2329, lr=0.002145, batch_cost=0.4954, reader_cost=0.0001 | ETA 00:59:41 2020-12-17 20:13:57 [INFO] [TRAIN] epoch=50, iter=32780/40000, loss=0.3087, lr=0.002142, batch_cost=0.5048, reader_cost=0.0001 | ETA 01:00:44 2020-12-17 20:14:02 [INFO] [TRAIN] epoch=50, iter=32790/40000, loss=0.1810, lr=0.002140, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:05:19 2020-12-17 20:14:07 [INFO] [TRAIN] epoch=50, iter=32800/40000, loss=0.1850, lr=0.002137, batch_cost=0.5103, reader_cost=0.0001 | ETA 01:01:14 2020-12-17 20:14:12 [INFO] [TRAIN] epoch=50, iter=32810/40000, loss=0.1820, lr=0.002134, batch_cost=0.4962, reader_cost=0.0001 | ETA 00:59:27 2020-12-17 20:14:17 [INFO] [TRAIN] epoch=50, iter=32820/40000, loss=0.2496, lr=0.002132, batch_cost=0.4926, reader_cost=0.0001 | ETA 00:58:56 2020-12-17 20:14:22 [INFO] [TRAIN] epoch=50, iter=32830/40000, loss=0.1704, lr=0.002129, batch_cost=0.4992, reader_cost=0.0001 | ETA 00:59:39 2020-12-17 20:14:27 [INFO] [TRAIN] epoch=50, iter=32840/40000, loss=0.2272, lr=0.002126, batch_cost=0.4928, reader_cost=0.0001 | ETA 00:58:48 2020-12-17 20:14:32 [INFO] [TRAIN] epoch=50, iter=32850/40000, loss=0.1981, lr=0.002124, batch_cost=0.4930, reader_cost=0.0001 | ETA 00:58:44 2020-12-17 20:14:37 [INFO] [TRAIN] epoch=50, iter=32860/40000, loss=0.2192, lr=0.002121, batch_cost=0.5013, reader_cost=0.0001 | ETA 00:59:39 2020-12-17 20:14:42 [INFO] [TRAIN] epoch=50, iter=32870/40000, loss=0.2222, lr=0.002118, batch_cost=0.5154, reader_cost=0.0001 | ETA 01:01:14 2020-12-17 20:14:47 [INFO] [TRAIN] epoch=50, iter=32880/40000, loss=0.2217, lr=0.002116, batch_cost=0.5052, reader_cost=0.0001 | ETA 00:59:56 2020-12-17 20:14:52 [INFO] [TRAIN] epoch=50, iter=32890/40000, loss=0.2170, lr=0.002113, batch_cost=0.5030, reader_cost=0.0001 | ETA 00:59:36 2020-12-17 20:14:57 [INFO] [TRAIN] epoch=50, iter=32900/40000, loss=0.1472, lr=0.002110, batch_cost=0.5021, reader_cost=0.0001 | ETA 00:59:25 2020-12-17 20:15:02 [INFO] [TRAIN] epoch=50, iter=32910/40000, loss=0.2754, lr=0.002108, batch_cost=0.4914, reader_cost=0.0001 | ETA 00:58:03 2020-12-17 20:15:07 [INFO] [TRAIN] epoch=50, iter=32920/40000, loss=0.1741, lr=0.002105, batch_cost=0.4929, reader_cost=0.0001 | ETA 00:58:09 2020-12-17 20:15:12 [INFO] [TRAIN] epoch=50, iter=32930/40000, loss=0.2284, lr=0.002102, batch_cost=0.4903, reader_cost=0.0001 | ETA 00:57:46 2020-12-17 20:15:17 [INFO] [TRAIN] epoch=50, iter=32940/40000, loss=0.1996, lr=0.002100, batch_cost=0.4941, reader_cost=0.0001 | ETA 00:58:08 2020-12-17 20:15:22 [INFO] [TRAIN] epoch=50, iter=32950/40000, loss=0.1917, lr=0.002097, batch_cost=0.4943, reader_cost=0.0001 | ETA 00:58:05 2020-12-17 20:15:27 [INFO] [TRAIN] epoch=50, iter=32960/40000, loss=0.2225, lr=0.002094, batch_cost=0.4946, reader_cost=0.0001 | ETA 00:58:02 2020-12-17 20:15:32 [INFO] [TRAIN] epoch=50, iter=32970/40000, loss=0.2044, lr=0.002092, batch_cost=0.5048, reader_cost=0.0001 | ETA 00:59:08 2020-12-17 20:15:37 [INFO] [TRAIN] epoch=50, iter=32980/40000, loss=0.1919, lr=0.002089, batch_cost=0.5039, reader_cost=0.0001 | ETA 00:58:57 2020-12-17 20:15:42 [INFO] [TRAIN] epoch=50, iter=32990/40000, loss=0.1812, lr=0.002086, batch_cost=0.4973, reader_cost=0.0001 | ETA 00:58:05 2020-12-17 20:15:47 [INFO] [TRAIN] epoch=50, iter=33000/40000, loss=0.1747, lr=0.002083, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:58:46 aug_eval False scales 1.0 aug_eval False aug_eval False scales 1.0 scales 1.0 aug_eval False scales 1.0 2020-12-17 20:15:47 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 20:16:07 [INFO] [EVAL] #Images=1449 mIoU=0.7897 Acc=0.9526 Kappa=0.8951 2020-12-17 20:16:07 [INFO] [EVAL] Class IoU: [0.9462 0.896 0.4297 0.8962 0.7022 0.8432 0.9514 0.8928 0.9312 0.4061 0.8991 0.6258 0.8909 0.9081 0.8711 0.8731 0.6373 0.88 0.4121 0.9035 0.7871] 2020-12-17 20:16:07 [INFO] [EVAL] Class Acc: [0.9674 0.9259 0.4469 0.9359 0.816 0.8991 0.9765 0.9418 0.954 0.5934 0.9444 0.9418 0.9412 0.9519 0.9435 0.9418 0.8064 0.9426 0.8173 0.9455 0.9232] 2020-12-17 20:16:10 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 20:16:15 [INFO] [TRAIN] epoch=50, iter=33010/40000, loss=0.2214, lr=0.002081, batch_cost=0.4908, reader_cost=0.0001 | ETA 00:57:10 2020-12-17 20:16:20 [INFO] [TRAIN] epoch=50, iter=33020/40000, loss=0.2402, lr=0.002078, batch_cost=0.4937, reader_cost=0.0001 | ETA 00:57:26 2020-12-17 20:16:25 [INFO] [TRAIN] epoch=50, iter=33030/40000, loss=0.1615, lr=0.002075, batch_cost=0.4917, reader_cost=0.0001 | ETA 00:57:07 2020-12-17 20:16:30 [INFO] [TRAIN] epoch=50, iter=33040/40000, loss=0.1575, lr=0.002073, batch_cost=0.5199, reader_cost=0.0001 | ETA 01:00:18 2020-12-17 20:16:35 [INFO] [TRAIN] epoch=50, iter=33050/40000, loss=0.1788, lr=0.002070, batch_cost=0.4560, reader_cost=0.0001 | ETA 00:52:49 2020-12-17 20:16:40 [INFO] [TRAIN] epoch=51, iter=33060/40000, loss=0.1798, lr=0.002067, batch_cost=0.5130, reader_cost=0.0292 | ETA 00:59:20 2020-12-17 20:16:45 [INFO] [TRAIN] epoch=51, iter=33070/40000, loss=0.1883, lr=0.002065, batch_cost=0.5012, reader_cost=0.0001 | ETA 00:57:53 2020-12-17 20:16:50 [INFO] [TRAIN] epoch=51, iter=33080/40000, loss=0.1877, lr=0.002062, batch_cost=0.4982, reader_cost=0.0001 | ETA 00:57:27 2020-12-17 20:16:55 [INFO] [TRAIN] epoch=51, iter=33090/40000, loss=0.2212, lr=0.002059, batch_cost=0.5027, reader_cost=0.0001 | ETA 00:57:53 2020-12-17 20:17:00 [INFO] [TRAIN] epoch=51, iter=33100/40000, loss=0.2514, lr=0.002057, batch_cost=0.4978, reader_cost=0.0001 | ETA 00:57:14 2020-12-17 20:17:05 [INFO] [TRAIN] epoch=51, iter=33110/40000, loss=0.2389, lr=0.002054, batch_cost=0.4986, reader_cost=0.0001 | ETA 00:57:15 2020-12-17 20:17:10 [INFO] [TRAIN] epoch=51, iter=33120/40000, loss=0.2004, lr=0.002051, batch_cost=0.5092, reader_cost=0.0001 | ETA 00:58:23 2020-12-17 20:17:15 [INFO] [TRAIN] epoch=51, iter=33130/40000, loss=0.1767, lr=0.002049, batch_cost=0.5129, reader_cost=0.0001 | ETA 00:58:43 2020-12-17 20:17:20 [INFO] [TRAIN] epoch=51, iter=33140/40000, loss=0.2119, lr=0.002046, batch_cost=0.4922, reader_cost=0.0001 | ETA 00:56:16 2020-12-17 20:17:25 [INFO] [TRAIN] epoch=51, iter=33150/40000, loss=0.1935, lr=0.002043, batch_cost=0.4962, reader_cost=0.0001 | ETA 00:56:39 2020-12-17 20:17:30 [INFO] [TRAIN] epoch=51, iter=33160/40000, loss=0.2105, lr=0.002041, batch_cost=0.5074, reader_cost=0.0001 | ETA 00:57:50 2020-12-17 20:17:35 [INFO] [TRAIN] epoch=51, iter=33170/40000, loss=0.1979, lr=0.002038, batch_cost=0.4934, reader_cost=0.0001 | ETA 00:56:09 2020-12-17 20:17:40 [INFO] [TRAIN] epoch=51, iter=33180/40000, loss=0.2703, lr=0.002035, batch_cost=0.4981, reader_cost=0.0001 | ETA 00:56:36 2020-12-17 20:17:45 [INFO] [TRAIN] epoch=51, iter=33190/40000, loss=0.2001, lr=0.002033, batch_cost=0.5120, reader_cost=0.0001 | ETA 00:58:06 2020-12-17 20:17:50 [INFO] [TRAIN] epoch=51, iter=33200/40000, loss=0.2042, lr=0.002030, batch_cost=0.4961, reader_cost=0.0001 | ETA 00:56:13 2020-12-17 20:17:55 [INFO] [TRAIN] epoch=51, iter=33210/40000, loss=0.2491, lr=0.002027, batch_cost=0.4978, reader_cost=0.0001 | ETA 00:56:19 2020-12-17 20:18:00 [INFO] [TRAIN] epoch=51, iter=33220/40000, loss=0.1593, lr=0.002024, batch_cost=0.4954, reader_cost=0.0001 | ETA 00:55:58 2020-12-17 20:18:05 [INFO] [TRAIN] epoch=51, iter=33230/40000, loss=0.2799, lr=0.002022, batch_cost=0.5172, reader_cost=0.0001 | ETA 00:58:21 2020-12-17 20:18:10 [INFO] [TRAIN] epoch=51, iter=33240/40000, loss=0.2162, lr=0.002019, batch_cost=0.5035, reader_cost=0.0001 | ETA 00:56:43 2020-12-17 20:18:15 [INFO] [TRAIN] epoch=51, iter=33250/40000, loss=0.2796, lr=0.002016, batch_cost=0.5007, reader_cost=0.0001 | ETA 00:56:20 2020-12-17 20:18:20 [INFO] [TRAIN] epoch=51, iter=33260/40000, loss=0.1574, lr=0.002014, batch_cost=0.4972, reader_cost=0.0001 | ETA 00:55:51 2020-12-17 20:18:25 [INFO] [TRAIN] epoch=51, iter=33270/40000, loss=0.1979, lr=0.002011, batch_cost=0.4895, reader_cost=0.0001 | ETA 00:54:54 2020-12-17 20:18:30 [INFO] [TRAIN] epoch=51, iter=33280/40000, loss=0.2039, lr=0.002008, batch_cost=0.4922, reader_cost=0.0001 | ETA 00:55:07 2020-12-17 20:18:35 [INFO] [TRAIN] epoch=51, iter=33290/40000, loss=0.2153, lr=0.002006, batch_cost=0.4970, reader_cost=0.0001 | ETA 00:55:34 2020-12-17 20:18:40 [INFO] [TRAIN] epoch=51, iter=33300/40000, loss=0.2057, lr=0.002003, batch_cost=0.4964, reader_cost=0.0001 | ETA 00:55:25 2020-12-17 20:18:45 [INFO] [TRAIN] epoch=51, iter=33310/40000, loss=0.2255, lr=0.002000, batch_cost=0.4919, reader_cost=0.0001 | ETA 00:54:50 2020-12-17 20:18:50 [INFO] [TRAIN] epoch=51, iter=33320/40000, loss=0.1791, lr=0.001998, batch_cost=0.4922, reader_cost=0.0001 | ETA 00:54:47 2020-12-17 20:18:55 [INFO] [TRAIN] epoch=51, iter=33330/40000, loss=0.2225, lr=0.001995, batch_cost=0.5033, reader_cost=0.0001 | ETA 00:55:56 2020-12-17 20:19:00 [INFO] [TRAIN] epoch=51, iter=33340/40000, loss=0.1560, lr=0.001992, batch_cost=0.4986, reader_cost=0.0001 | ETA 00:55:20 2020-12-17 20:19:05 [INFO] [TRAIN] epoch=51, iter=33350/40000, loss=0.1836, lr=0.001990, batch_cost=0.5068, reader_cost=0.0001 | ETA 00:56:10 2020-12-17 20:19:10 [INFO] [TRAIN] epoch=51, iter=33360/40000, loss=0.2066, lr=0.001987, batch_cost=0.4937, reader_cost=0.0001 | ETA 00:54:37 2020-12-17 20:19:15 [INFO] [TRAIN] epoch=51, iter=33370/40000, loss=0.1828, lr=0.001984, batch_cost=0.4926, reader_cost=0.0001 | ETA 00:54:26 2020-12-17 20:19:20 [INFO] [TRAIN] epoch=51, iter=33380/40000, loss=0.1887, lr=0.001981, batch_cost=0.4967, reader_cost=0.0001 | ETA 00:54:47 2020-12-17 20:19:25 [INFO] [TRAIN] epoch=51, iter=33390/40000, loss=0.2547, lr=0.001979, batch_cost=0.4894, reader_cost=0.0001 | ETA 00:53:54 2020-12-17 20:19:30 [INFO] [TRAIN] epoch=51, iter=33400/40000, loss=0.2280, lr=0.001976, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:54:19 2020-12-17 20:19:35 [INFO] [TRAIN] epoch=51, iter=33410/40000, loss=0.2317, lr=0.001973, batch_cost=0.4972, reader_cost=0.0001 | ETA 00:54:36 2020-12-17 20:19:40 [INFO] [TRAIN] epoch=51, iter=33420/40000, loss=0.2507, lr=0.001971, batch_cost=0.5019, reader_cost=0.0001 | ETA 00:55:02 2020-12-17 20:19:45 [INFO] [TRAIN] epoch=51, iter=33430/40000, loss=0.1905, lr=0.001968, batch_cost=0.4904, reader_cost=0.0001 | ETA 00:53:42 2020-12-17 20:19:50 [INFO] [TRAIN] epoch=51, iter=33440/40000, loss=0.2587, lr=0.001965, batch_cost=0.5052, reader_cost=0.0001 | ETA 00:55:14 2020-12-17 20:19:55 [INFO] [TRAIN] epoch=51, iter=33450/40000, loss=0.2447, lr=0.001963, batch_cost=0.4853, reader_cost=0.0001 | ETA 00:52:58 2020-12-17 20:19:59 [INFO] [TRAIN] epoch=51, iter=33460/40000, loss=0.2202, lr=0.001960, batch_cost=0.4951, reader_cost=0.0001 | ETA 00:53:57 2020-12-17 20:20:05 [INFO] [TRAIN] epoch=51, iter=33470/40000, loss=0.1700, lr=0.001957, batch_cost=0.5064, reader_cost=0.0001 | ETA 00:55:06 2020-12-17 20:20:10 [INFO] [TRAIN] epoch=51, iter=33480/40000, loss=0.2079, lr=0.001954, batch_cost=0.4975, reader_cost=0.0001 | ETA 00:54:03 2020-12-17 20:20:15 [INFO] [TRAIN] epoch=51, iter=33490/40000, loss=0.1978, lr=0.001952, batch_cost=0.5007, reader_cost=0.0001 | ETA 00:54:19 2020-12-17 20:20:20 [INFO] [TRAIN] epoch=51, iter=33500/40000, loss=0.2181, lr=0.001949, batch_cost=0.5032, reader_cost=0.0001 | ETA 00:54:30 2020-12-17 20:20:25 [INFO] [TRAIN] epoch=51, iter=33510/40000, loss=0.2500, lr=0.001946, batch_cost=0.5060, reader_cost=0.0001 | ETA 00:54:43 2020-12-17 20:20:30 [INFO] [TRAIN] epoch=51, iter=33520/40000, loss=0.2236, lr=0.001944, batch_cost=0.5063, reader_cost=0.0001 | ETA 00:54:41 2020-12-17 20:20:35 [INFO] [TRAIN] epoch=51, iter=33530/40000, loss=0.2718, lr=0.001941, batch_cost=0.4945, reader_cost=0.0001 | ETA 00:53:19 2020-12-17 20:20:40 [INFO] [TRAIN] epoch=51, iter=33540/40000, loss=0.1870, lr=0.001938, batch_cost=0.5015, reader_cost=0.0001 | ETA 00:53:59 2020-12-17 20:20:45 [INFO] [TRAIN] epoch=51, iter=33550/40000, loss=0.2307, lr=0.001936, batch_cost=0.5024, reader_cost=0.0001 | ETA 00:54:00 2020-12-17 20:20:50 [INFO] [TRAIN] epoch=51, iter=33560/40000, loss=0.1940, lr=0.001933, batch_cost=0.5099, reader_cost=0.0001 | ETA 00:54:43 2020-12-17 20:20:55 [INFO] [TRAIN] epoch=51, iter=33570/40000, loss=0.1702, lr=0.001930, batch_cost=0.5011, reader_cost=0.0001 | ETA 00:53:41 2020-12-17 20:21:00 [INFO] [TRAIN] epoch=51, iter=33580/40000, loss=0.2089, lr=0.001927, batch_cost=0.4936, reader_cost=0.0001 | ETA 00:52:49 2020-12-17 20:21:05 [INFO] [TRAIN] epoch=51, iter=33590/40000, loss=0.1966, lr=0.001925, batch_cost=0.4942, reader_cost=0.0001 | ETA 00:52:47 2020-12-17 20:21:10 [INFO] [TRAIN] epoch=51, iter=33600/40000, loss=0.1962, lr=0.001922, batch_cost=0.4992, reader_cost=0.0001 | ETA 00:53:14 2020-12-17 20:21:15 [INFO] [TRAIN] epoch=51, iter=33610/40000, loss=0.1715, lr=0.001919, batch_cost=0.5022, reader_cost=0.0001 | ETA 00:53:28 2020-12-17 20:21:20 [INFO] [TRAIN] epoch=51, iter=33620/40000, loss=0.1866, lr=0.001917, batch_cost=0.4873, reader_cost=0.0001 | ETA 00:51:49 2020-12-17 20:21:25 [INFO] [TRAIN] epoch=51, iter=33630/40000, loss=0.1539, lr=0.001914, batch_cost=0.4981, reader_cost=0.0001 | ETA 00:52:53 2020-12-17 20:21:30 [INFO] [TRAIN] epoch=51, iter=33640/40000, loss=0.2270, lr=0.001911, batch_cost=0.5094, reader_cost=0.0001 | ETA 00:53:59 2020-12-17 20:21:35 [INFO] [TRAIN] epoch=51, iter=33650/40000, loss=0.2168, lr=0.001909, batch_cost=0.4983, reader_cost=0.0001 | ETA 00:52:44 2020-12-17 20:21:39 [INFO] [TRAIN] epoch=51, iter=33660/40000, loss=0.1262, lr=0.001906, batch_cost=0.4801, reader_cost=0.0001 | ETA 00:50:43 2020-12-17 20:21:44 [INFO] [TRAIN] epoch=51, iter=33670/40000, loss=0.2688, lr=0.001903, batch_cost=0.4888, reader_cost=0.0001 | ETA 00:51:33 2020-12-17 20:21:49 [INFO] [TRAIN] epoch=51, iter=33680/40000, loss=0.1858, lr=0.001900, batch_cost=0.5083, reader_cost=0.0001 | ETA 00:53:32 2020-12-17 20:21:54 [INFO] [TRAIN] epoch=51, iter=33690/40000, loss=0.2294, lr=0.001898, batch_cost=0.4830, reader_cost=0.0001 | ETA 00:50:47 2020-12-17 20:21:59 [INFO] [TRAIN] epoch=51, iter=33700/40000, loss=0.2140, lr=0.001895, batch_cost=0.4902, reader_cost=0.0001 | ETA 00:51:28 2020-12-17 20:22:04 [INFO] [TRAIN] epoch=51, iter=33710/40000, loss=0.2683, lr=0.001892, batch_cost=0.4595, reader_cost=0.0001 | ETA 00:48:10 2020-12-17 20:22:09 [INFO] [TRAIN] epoch=52, iter=33720/40000, loss=0.2013, lr=0.001890, batch_cost=0.5297, reader_cost=0.0254 | ETA 00:55:26 2020-12-17 20:22:14 [INFO] [TRAIN] epoch=52, iter=33730/40000, loss=0.1979, lr=0.001887, batch_cost=0.5058, reader_cost=0.0001 | ETA 00:52:51 2020-12-17 20:22:19 [INFO] [TRAIN] epoch=52, iter=33740/40000, loss=0.2382, lr=0.001884, batch_cost=0.5028, reader_cost=0.0001 | ETA 00:52:27 2020-12-17 20:22:24 [INFO] [TRAIN] epoch=52, iter=33750/40000, loss=0.2436, lr=0.001881, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:51:52 2020-12-17 20:22:29 [INFO] [TRAIN] epoch=52, iter=33760/40000, loss=0.1735, lr=0.001879, batch_cost=0.4960, reader_cost=0.0001 | ETA 00:51:35 2020-12-17 20:22:34 [INFO] [TRAIN] epoch=52, iter=33770/40000, loss=0.1600, lr=0.001876, batch_cost=0.4981, reader_cost=0.0001 | ETA 00:51:43 2020-12-17 20:22:39 [INFO] [TRAIN] epoch=52, iter=33780/40000, loss=0.2256, lr=0.001873, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:51:11 2020-12-17 20:22:44 [INFO] [TRAIN] epoch=52, iter=33790/40000, loss=0.1897, lr=0.001871, batch_cost=0.4917, reader_cost=0.0001 | ETA 00:50:53 2020-12-17 20:22:49 [INFO] [TRAIN] epoch=52, iter=33800/40000, loss=0.1951, lr=0.001868, batch_cost=0.4977, reader_cost=0.0001 | ETA 00:51:25 2020-12-17 20:22:54 [INFO] [TRAIN] epoch=52, iter=33810/40000, loss=0.2570, lr=0.001865, batch_cost=0.5003, reader_cost=0.0001 | ETA 00:51:36 2020-12-17 20:22:59 [INFO] [TRAIN] epoch=52, iter=33820/40000, loss=0.1651, lr=0.001863, batch_cost=0.4967, reader_cost=0.0001 | ETA 00:51:09 2020-12-17 20:23:04 [INFO] [TRAIN] epoch=52, iter=33830/40000, loss=0.1927, lr=0.001860, batch_cost=0.4973, reader_cost=0.0001 | ETA 00:51:08 2020-12-17 20:23:09 [INFO] [TRAIN] epoch=52, iter=33840/40000, loss=0.1690, lr=0.001857, batch_cost=0.4891, reader_cost=0.0001 | ETA 00:50:12 2020-12-17 20:23:14 [INFO] [TRAIN] epoch=52, iter=33850/40000, loss=0.2346, lr=0.001854, batch_cost=0.4987, reader_cost=0.0001 | ETA 00:51:07 2020-12-17 20:23:19 [INFO] [TRAIN] epoch=52, iter=33860/40000, loss=0.2318, lr=0.001852, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:54:53 2020-12-17 20:23:24 [INFO] [TRAIN] epoch=52, iter=33870/40000, loss=0.2604, lr=0.001849, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:50:58 2020-12-17 20:23:29 [INFO] [TRAIN] epoch=52, iter=33880/40000, loss=0.2233, lr=0.001846, batch_cost=0.4977, reader_cost=0.0001 | ETA 00:50:45 2020-12-17 20:23:34 [INFO] [TRAIN] epoch=52, iter=33890/40000, loss=0.2016, lr=0.001844, batch_cost=0.5063, reader_cost=0.0001 | ETA 00:51:33 2020-12-17 20:23:39 [INFO] [TRAIN] epoch=52, iter=33900/40000, loss=0.1629, lr=0.001841, batch_cost=0.4965, reader_cost=0.0001 | ETA 00:50:28 2020-12-17 20:23:44 [INFO] [TRAIN] epoch=52, iter=33910/40000, loss=0.1684, lr=0.001838, batch_cost=0.5069, reader_cost=0.0001 | ETA 00:51:27 2020-12-17 20:23:49 [INFO] [TRAIN] epoch=52, iter=33920/40000, loss=0.2531, lr=0.001835, batch_cost=0.5148, reader_cost=0.0001 | ETA 00:52:09 2020-12-17 20:23:54 [INFO] [TRAIN] epoch=52, iter=33930/40000, loss=0.2217, lr=0.001833, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:50:34 2020-12-17 20:23:59 [INFO] [TRAIN] epoch=52, iter=33940/40000, loss=0.2312, lr=0.001830, batch_cost=0.4978, reader_cost=0.0001 | ETA 00:50:16 2020-12-17 20:24:04 [INFO] [TRAIN] epoch=52, iter=33950/40000, loss=0.3106, lr=0.001827, batch_cost=0.5030, reader_cost=0.0001 | ETA 00:50:42 2020-12-17 20:24:09 [INFO] [TRAIN] epoch=52, iter=33960/40000, loss=0.2209, lr=0.001825, batch_cost=0.5009, reader_cost=0.0001 | ETA 00:50:25 2020-12-17 20:24:14 [INFO] [TRAIN] epoch=52, iter=33970/40000, loss=0.1872, lr=0.001822, batch_cost=0.4966, reader_cost=0.0001 | ETA 00:49:54 2020-12-17 20:24:19 [INFO] [TRAIN] epoch=52, iter=33980/40000, loss=0.2473, lr=0.001819, batch_cost=0.5039, reader_cost=0.0001 | ETA 00:50:33 2020-12-17 20:24:24 [INFO] [TRAIN] epoch=52, iter=33990/40000, loss=0.1994, lr=0.001816, batch_cost=0.4941, reader_cost=0.0001 | ETA 00:49:29 2020-12-17 20:24:29 [INFO] [TRAIN] epoch=52, iter=34000/40000, loss=0.1647, lr=0.001814, batch_cost=0.5019, reader_cost=0.0001 | ETA 00:50:11 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:24:29 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 20:24:50 [INFO] [EVAL] #Images=1449 mIoU=0.7904 Acc=0.9535 Kappa=0.8964 2020-12-17 20:24:50 [INFO] [EVAL] Class IoU: [0.9465 0.8899 0.4356 0.9029 0.6858 0.8392 0.9521 0.8952 0.9476 0.4013 0.8949 0.5898 0.9086 0.9041 0.8685 0.8711 0.6245 0.8708 0.4852 0.8966 0.789 ] 2020-12-17 20:24:50 [INFO] [EVAL] Class Acc: [0.9655 0.9276 0.4504 0.9406 0.8023 0.9094 0.981 0.9459 0.9743 0.6698 0.9532 0.9338 0.9472 0.9641 0.9438 0.941 0.8384 0.938 0.806 0.9537 0.9453] 2020-12-17 20:24:54 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 20:24:59 [INFO] [TRAIN] epoch=52, iter=34010/40000, loss=0.2504, lr=0.001811, batch_cost=0.4923, reader_cost=0.0001 | ETA 00:49:08 2020-12-17 20:25:04 [INFO] [TRAIN] epoch=52, iter=34020/40000, loss=0.1666, lr=0.001808, batch_cost=0.5024, reader_cost=0.0001 | ETA 00:50:04 2020-12-17 20:25:09 [INFO] [TRAIN] epoch=52, iter=34030/40000, loss=0.2350, lr=0.001805, batch_cost=0.4932, reader_cost=0.0001 | ETA 00:49:04 2020-12-17 20:25:14 [INFO] [TRAIN] epoch=52, iter=34040/40000, loss=0.2334, lr=0.001803, batch_cost=0.5034, reader_cost=0.0001 | ETA 00:50:00 2020-12-17 20:25:19 [INFO] [TRAIN] epoch=52, iter=34050/40000, loss=0.2404, lr=0.001800, batch_cost=0.5035, reader_cost=0.0001 | ETA 00:49:55 2020-12-17 20:25:24 [INFO] [TRAIN] epoch=52, iter=34060/40000, loss=0.1883, lr=0.001797, batch_cost=0.5015, reader_cost=0.0001 | ETA 00:49:38 2020-12-17 20:25:29 [INFO] [TRAIN] epoch=52, iter=34070/40000, loss=0.1591, lr=0.001795, batch_cost=0.5035, reader_cost=0.0002 | ETA 00:49:45 2020-12-17 20:25:34 [INFO] [TRAIN] epoch=52, iter=34080/40000, loss=0.2292, lr=0.001792, batch_cost=0.4909, reader_cost=0.0001 | ETA 00:48:26 2020-12-17 20:25:39 [INFO] [TRAIN] epoch=52, iter=34090/40000, loss=0.2203, lr=0.001789, batch_cost=0.4978, reader_cost=0.0001 | ETA 00:49:01 2020-12-17 20:25:43 [INFO] [TRAIN] epoch=52, iter=34100/40000, loss=0.2232, lr=0.001786, batch_cost=0.4946, reader_cost=0.0001 | ETA 00:48:38 2020-12-17 20:25:48 [INFO] [TRAIN] epoch=52, iter=34110/40000, loss=0.1909, lr=0.001784, batch_cost=0.4845, reader_cost=0.0001 | ETA 00:47:33 2020-12-17 20:25:53 [INFO] [TRAIN] epoch=52, iter=34120/40000, loss=0.1670, lr=0.001781, batch_cost=0.5039, reader_cost=0.0001 | ETA 00:49:23 2020-12-17 20:25:58 [INFO] [TRAIN] epoch=52, iter=34130/40000, loss=0.1711, lr=0.001778, batch_cost=0.4944, reader_cost=0.0001 | ETA 00:48:22 2020-12-17 20:26:03 [INFO] [TRAIN] epoch=52, iter=34140/40000, loss=0.1890, lr=0.001775, batch_cost=0.4914, reader_cost=0.0001 | ETA 00:47:59 2020-12-17 20:26:08 [INFO] [TRAIN] epoch=52, iter=34150/40000, loss=0.1993, lr=0.001773, batch_cost=0.5004, reader_cost=0.0001 | ETA 00:48:47 2020-12-17 20:26:13 [INFO] [TRAIN] epoch=52, iter=34160/40000, loss=0.1434, lr=0.001770, batch_cost=0.5074, reader_cost=0.0001 | ETA 00:49:23 2020-12-17 20:26:18 [INFO] [TRAIN] epoch=52, iter=34170/40000, loss=0.1795, lr=0.001767, batch_cost=0.4994, reader_cost=0.0001 | ETA 00:48:31 2020-12-17 20:26:23 [INFO] [TRAIN] epoch=52, iter=34180/40000, loss=0.1843, lr=0.001765, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:48:26 2020-12-17 20:26:28 [INFO] [TRAIN] epoch=52, iter=34190/40000, loss=0.1894, lr=0.001762, batch_cost=0.4898, reader_cost=0.0001 | ETA 00:47:25 2020-12-17 20:26:33 [INFO] [TRAIN] epoch=52, iter=34200/40000, loss=0.2615, lr=0.001759, batch_cost=0.5064, reader_cost=0.0001 | ETA 00:48:56 2020-12-17 20:26:38 [INFO] [TRAIN] epoch=52, iter=34210/40000, loss=0.1577, lr=0.001756, batch_cost=0.5206, reader_cost=0.0001 | ETA 00:50:14 2020-12-17 20:26:43 [INFO] [TRAIN] epoch=52, iter=34220/40000, loss=0.1695, lr=0.001754, batch_cost=0.4962, reader_cost=0.0001 | ETA 00:47:48 2020-12-17 20:26:48 [INFO] [TRAIN] epoch=52, iter=34230/40000, loss=0.2241, lr=0.001751, batch_cost=0.4958, reader_cost=0.0001 | ETA 00:47:40 2020-12-17 20:26:53 [INFO] [TRAIN] epoch=52, iter=34240/40000, loss=0.1826, lr=0.001748, batch_cost=0.4877, reader_cost=0.0001 | ETA 00:46:49 2020-12-17 20:26:58 [INFO] [TRAIN] epoch=52, iter=34250/40000, loss=0.2684, lr=0.001745, batch_cost=0.5221, reader_cost=0.0001 | ETA 00:50:01 2020-12-17 20:27:04 [INFO] [TRAIN] epoch=52, iter=34260/40000, loss=0.2076, lr=0.001743, batch_cost=0.5079, reader_cost=0.0001 | ETA 00:48:35 2020-12-17 20:27:08 [INFO] [TRAIN] epoch=52, iter=34270/40000, loss=0.3258, lr=0.001740, batch_cost=0.4904, reader_cost=0.0001 | ETA 00:46:50 2020-12-17 20:27:13 [INFO] [TRAIN] epoch=52, iter=34280/40000, loss=0.1981, lr=0.001737, batch_cost=0.4996, reader_cost=0.0001 | ETA 00:47:37 2020-12-17 20:27:18 [INFO] [TRAIN] epoch=52, iter=34290/40000, loss=0.1583, lr=0.001735, batch_cost=0.4878, reader_cost=0.0001 | ETA 00:46:25 2020-12-17 20:27:23 [INFO] [TRAIN] epoch=52, iter=34300/40000, loss=0.2209, lr=0.001732, batch_cost=0.5029, reader_cost=0.0001 | ETA 00:47:46 2020-12-17 20:27:28 [INFO] [TRAIN] epoch=52, iter=34310/40000, loss=0.2393, lr=0.001729, batch_cost=0.4962, reader_cost=0.0001 | ETA 00:47:03 2020-12-17 20:27:33 [INFO] [TRAIN] epoch=52, iter=34320/40000, loss=0.1955, lr=0.001726, batch_cost=0.4967, reader_cost=0.0001 | ETA 00:47:01 2020-12-17 20:27:38 [INFO] [TRAIN] epoch=52, iter=34330/40000, loss=0.1878, lr=0.001724, batch_cost=0.4977, reader_cost=0.0001 | ETA 00:47:01 2020-12-17 20:27:43 [INFO] [TRAIN] epoch=52, iter=34340/40000, loss=0.2522, lr=0.001721, batch_cost=0.5158, reader_cost=0.0001 | ETA 00:48:39 2020-12-17 20:27:49 [INFO] [TRAIN] epoch=52, iter=34350/40000, loss=0.2723, lr=0.001718, batch_cost=0.5086, reader_cost=0.0001 | ETA 00:47:53 2020-12-17 20:27:54 [INFO] [TRAIN] epoch=52, iter=34360/40000, loss=0.2126, lr=0.001715, batch_cost=0.4994, reader_cost=0.0001 | ETA 00:46:56 2020-12-17 20:27:58 [INFO] [TRAIN] epoch=52, iter=34370/40000, loss=0.2274, lr=0.001713, batch_cost=0.4734, reader_cost=0.0001 | ETA 00:44:25 2020-12-17 20:28:03 [INFO] [TRAIN] epoch=53, iter=34380/40000, loss=0.1800, lr=0.001710, batch_cost=0.5143, reader_cost=0.0366 | ETA 00:48:10 2020-12-17 20:28:08 [INFO] [TRAIN] epoch=53, iter=34390/40000, loss=0.2030, lr=0.001707, batch_cost=0.4943, reader_cost=0.0001 | ETA 00:46:12 2020-12-17 20:28:13 [INFO] [TRAIN] epoch=53, iter=34400/40000, loss=0.1595, lr=0.001704, batch_cost=0.5136, reader_cost=0.0001 | ETA 00:47:56 2020-12-17 20:28:18 [INFO] [TRAIN] epoch=53, iter=34410/40000, loss=0.2429, lr=0.001702, batch_cost=0.4867, reader_cost=0.0001 | ETA 00:45:20 2020-12-17 20:28:23 [INFO] [TRAIN] epoch=53, iter=34420/40000, loss=0.2746, lr=0.001699, batch_cost=0.4963, reader_cost=0.0001 | ETA 00:46:09 2020-12-17 20:28:28 [INFO] [TRAIN] epoch=53, iter=34430/40000, loss=0.2346, lr=0.001696, batch_cost=0.5044, reader_cost=0.0001 | ETA 00:46:49 2020-12-17 20:28:33 [INFO] [TRAIN] epoch=53, iter=34440/40000, loss=0.2260, lr=0.001693, batch_cost=0.4961, reader_cost=0.0001 | ETA 00:45:58 2020-12-17 20:28:38 [INFO] [TRAIN] epoch=53, iter=34450/40000, loss=0.2379, lr=0.001691, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:46:08 2020-12-17 20:28:43 [INFO] [TRAIN] epoch=53, iter=34460/40000, loss=0.2617, lr=0.001688, batch_cost=0.5009, reader_cost=0.0001 | ETA 00:46:15 2020-12-17 20:28:48 [INFO] [TRAIN] epoch=53, iter=34470/40000, loss=0.1616, lr=0.001685, batch_cost=0.5032, reader_cost=0.0001 | ETA 00:46:22 2020-12-17 20:28:53 [INFO] [TRAIN] epoch=53, iter=34480/40000, loss=0.2062, lr=0.001683, batch_cost=0.4985, reader_cost=0.0001 | ETA 00:45:51 2020-12-17 20:28:58 [INFO] [TRAIN] epoch=53, iter=34490/40000, loss=0.1529, lr=0.001680, batch_cost=0.4961, reader_cost=0.0001 | ETA 00:45:33 2020-12-17 20:29:03 [INFO] [TRAIN] epoch=53, iter=34500/40000, loss=0.2228, lr=0.001677, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:45:38 2020-12-17 20:29:08 [INFO] [TRAIN] epoch=53, iter=34510/40000, loss=0.1993, lr=0.001674, batch_cost=0.5011, reader_cost=0.0001 | ETA 00:45:50 2020-12-17 20:29:13 [INFO] [TRAIN] epoch=53, iter=34520/40000, loss=0.2291, lr=0.001672, batch_cost=0.4856, reader_cost=0.0001 | ETA 00:44:21 2020-12-17 20:29:18 [INFO] [TRAIN] epoch=53, iter=34530/40000, loss=0.1545, lr=0.001669, batch_cost=0.5011, reader_cost=0.0001 | ETA 00:45:41 2020-12-17 20:29:23 [INFO] [TRAIN] epoch=53, iter=34540/40000, loss=0.1821, lr=0.001666, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:45:27 2020-12-17 20:29:28 [INFO] [TRAIN] epoch=53, iter=34550/40000, loss=0.2904, lr=0.001663, batch_cost=0.4981, reader_cost=0.0001 | ETA 00:45:14 2020-12-17 20:29:33 [INFO] [TRAIN] epoch=53, iter=34560/40000, loss=0.1702, lr=0.001661, batch_cost=0.4956, reader_cost=0.0001 | ETA 00:44:55 2020-12-17 20:29:38 [INFO] [TRAIN] epoch=53, iter=34570/40000, loss=0.1820, lr=0.001658, batch_cost=0.4917, reader_cost=0.0001 | ETA 00:44:29 2020-12-17 20:29:43 [INFO] [TRAIN] epoch=53, iter=34580/40000, loss=0.2502, lr=0.001655, batch_cost=0.4916, reader_cost=0.0001 | ETA 00:44:24 2020-12-17 20:29:48 [INFO] [TRAIN] epoch=53, iter=34590/40000, loss=0.2148, lr=0.001652, batch_cost=0.4962, reader_cost=0.0001 | ETA 00:44:44 2020-12-17 20:29:53 [INFO] [TRAIN] epoch=53, iter=34600/40000, loss=0.2519, lr=0.001650, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:45:20 2020-12-17 20:29:58 [INFO] [TRAIN] epoch=53, iter=34610/40000, loss=0.2024, lr=0.001647, batch_cost=0.4943, reader_cost=0.0001 | ETA 00:44:24 2020-12-17 20:30:03 [INFO] [TRAIN] epoch=53, iter=34620/40000, loss=0.1910, lr=0.001644, batch_cost=0.5077, reader_cost=0.0001 | ETA 00:45:31 2020-12-17 20:30:08 [INFO] [TRAIN] epoch=53, iter=34630/40000, loss=0.2156, lr=0.001641, batch_cost=0.5035, reader_cost=0.0001 | ETA 00:45:03 2020-12-17 20:30:13 [INFO] [TRAIN] epoch=53, iter=34640/40000, loss=0.2247, lr=0.001639, batch_cost=0.4975, reader_cost=0.0001 | ETA 00:44:26 2020-12-17 20:30:18 [INFO] [TRAIN] epoch=53, iter=34650/40000, loss=0.1831, lr=0.001636, batch_cost=0.5029, reader_cost=0.0001 | ETA 00:44:50 2020-12-17 20:30:23 [INFO] [TRAIN] epoch=53, iter=34660/40000, loss=0.2412, lr=0.001633, batch_cost=0.5090, reader_cost=0.0001 | ETA 00:45:18 2020-12-17 20:30:28 [INFO] [TRAIN] epoch=53, iter=34670/40000, loss=0.2012, lr=0.001630, batch_cost=0.5034, reader_cost=0.0001 | ETA 00:44:43 2020-12-17 20:30:33 [INFO] [TRAIN] epoch=53, iter=34680/40000, loss=0.2103, lr=0.001628, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:44:40 2020-12-17 20:30:38 [INFO] [TRAIN] epoch=53, iter=34690/40000, loss=0.2259, lr=0.001625, batch_cost=0.5105, reader_cost=0.0001 | ETA 00:45:10 2020-12-17 20:30:43 [INFO] [TRAIN] epoch=53, iter=34700/40000, loss=0.2047, lr=0.001622, batch_cost=0.4953, reader_cost=0.0001 | ETA 00:43:44 2020-12-17 20:30:48 [INFO] [TRAIN] epoch=53, iter=34710/40000, loss=0.1976, lr=0.001619, batch_cost=0.4957, reader_cost=0.0001 | ETA 00:43:42 2020-12-17 20:30:53 [INFO] [TRAIN] epoch=53, iter=34720/40000, loss=0.2078, lr=0.001617, batch_cost=0.4953, reader_cost=0.0001 | ETA 00:43:35 2020-12-17 20:30:58 [INFO] [TRAIN] epoch=53, iter=34730/40000, loss=0.1931, lr=0.001614, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:43:22 2020-12-17 20:31:03 [INFO] [TRAIN] epoch=53, iter=34740/40000, loss=0.2479, lr=0.001611, batch_cost=0.4951, reader_cost=0.0001 | ETA 00:43:24 2020-12-17 20:31:08 [INFO] [TRAIN] epoch=53, iter=34750/40000, loss=0.2735, lr=0.001608, batch_cost=0.4839, reader_cost=0.0001 | ETA 00:42:20 2020-12-17 20:31:13 [INFO] [TRAIN] epoch=53, iter=34760/40000, loss=0.2143, lr=0.001606, batch_cost=0.5034, reader_cost=0.0001 | ETA 00:43:57 2020-12-17 20:31:18 [INFO] [TRAIN] epoch=53, iter=34770/40000, loss=0.1489, lr=0.001603, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:43:24 2020-12-17 20:31:23 [INFO] [TRAIN] epoch=53, iter=34780/40000, loss=0.2029, lr=0.001600, batch_cost=0.5019, reader_cost=0.0001 | ETA 00:43:39 2020-12-17 20:31:28 [INFO] [TRAIN] epoch=53, iter=34790/40000, loss=0.2012, lr=0.001597, batch_cost=0.5041, reader_cost=0.0001 | ETA 00:43:46 2020-12-17 20:31:33 [INFO] [TRAIN] epoch=53, iter=34800/40000, loss=0.1810, lr=0.001594, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:42:48 2020-12-17 20:31:38 [INFO] [TRAIN] epoch=53, iter=34810/40000, loss=0.1813, lr=0.001592, batch_cost=0.4903, reader_cost=0.0001 | ETA 00:42:24 2020-12-17 20:31:43 [INFO] [TRAIN] epoch=53, iter=34820/40000, loss=0.2212, lr=0.001589, batch_cost=0.5019, reader_cost=0.0001 | ETA 00:43:19 2020-12-17 20:31:48 [INFO] [TRAIN] epoch=53, iter=34830/40000, loss=0.1747, lr=0.001586, batch_cost=0.5042, reader_cost=0.0001 | ETA 00:43:26 2020-12-17 20:31:53 [INFO] [TRAIN] epoch=53, iter=34840/40000, loss=0.2017, lr=0.001583, batch_cost=0.4930, reader_cost=0.0001 | ETA 00:42:23 2020-12-17 20:31:58 [INFO] [TRAIN] epoch=53, iter=34850/40000, loss=0.1783, lr=0.001581, batch_cost=0.5113, reader_cost=0.0001 | ETA 00:43:53 2020-12-17 20:32:03 [INFO] [TRAIN] epoch=53, iter=34860/40000, loss=0.1650, lr=0.001578, batch_cost=0.4871, reader_cost=0.0001 | ETA 00:41:43 2020-12-17 20:32:08 [INFO] [TRAIN] epoch=53, iter=34870/40000, loss=0.2624, lr=0.001575, batch_cost=0.5080, reader_cost=0.0001 | ETA 00:43:25 2020-12-17 20:32:13 [INFO] [TRAIN] epoch=53, iter=34880/40000, loss=0.2648, lr=0.001572, batch_cost=0.4983, reader_cost=0.0001 | ETA 00:42:31 2020-12-17 20:32:18 [INFO] [TRAIN] epoch=53, iter=34890/40000, loss=0.2048, lr=0.001570, batch_cost=0.4816, reader_cost=0.0001 | ETA 00:41:00 2020-12-17 20:32:23 [INFO] [TRAIN] epoch=53, iter=34900/40000, loss=0.2345, lr=0.001567, batch_cost=0.4953, reader_cost=0.0001 | ETA 00:42:06 2020-12-17 20:32:27 [INFO] [TRAIN] epoch=53, iter=34910/40000, loss=0.1943, lr=0.001564, batch_cost=0.4849, reader_cost=0.0001 | ETA 00:41:08 2020-12-17 20:32:32 [INFO] [TRAIN] epoch=53, iter=34920/40000, loss=0.1560, lr=0.001561, batch_cost=0.4952, reader_cost=0.0001 | ETA 00:41:55 2020-12-17 20:32:37 [INFO] [TRAIN] epoch=53, iter=34930/40000, loss=0.2032, lr=0.001559, batch_cost=0.4867, reader_cost=0.0001 | ETA 00:41:07 2020-12-17 20:32:42 [INFO] [TRAIN] epoch=53, iter=34940/40000, loss=0.2124, lr=0.001556, batch_cost=0.5094, reader_cost=0.0001 | ETA 00:42:57 2020-12-17 20:32:47 [INFO] [TRAIN] epoch=53, iter=34950/40000, loss=0.2252, lr=0.001553, batch_cost=0.5027, reader_cost=0.0001 | ETA 00:42:18 2020-12-17 20:32:52 [INFO] [TRAIN] epoch=53, iter=34960/40000, loss=0.2312, lr=0.001550, batch_cost=0.5039, reader_cost=0.0001 | ETA 00:42:19 2020-12-17 20:32:57 [INFO] [TRAIN] epoch=53, iter=34970/40000, loss=0.1921, lr=0.001548, batch_cost=0.4946, reader_cost=0.0001 | ETA 00:41:27 2020-12-17 20:33:02 [INFO] [TRAIN] epoch=53, iter=34980/40000, loss=0.2247, lr=0.001545, batch_cost=0.4949, reader_cost=0.0001 | ETA 00:41:24 2020-12-17 20:33:07 [INFO] [TRAIN] epoch=53, iter=34990/40000, loss=0.1767, lr=0.001542, batch_cost=0.4873, reader_cost=0.0001 | ETA 00:40:41 2020-12-17 20:33:12 [INFO] [TRAIN] epoch=53, iter=35000/40000, loss=0.2182, lr=0.001539, batch_cost=0.4861, reader_cost=0.0001 | ETA 00:40:30 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:33:12 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 20:33:32 [INFO] [EVAL] #Images=1449 mIoU=0.7882 Acc=0.9532 Kappa=0.8954 2020-12-17 20:33:32 [INFO] [EVAL] Class IoU: [0.9464 0.8991 0.4406 0.9033 0.6908 0.8426 0.9429 0.8821 0.9491 0.3957 0.8794 0.5947 0.9086 0.9038 0.8727 0.8717 0.6389 0.8441 0.4524 0.9082 0.7858] 2020-12-17 20:33:32 [INFO] [EVAL] Class Acc: [0.964 0.9494 0.4582 0.9567 0.8191 0.9108 0.9834 0.939 0.9753 0.6593 0.9372 0.9485 0.9424 0.9572 0.9348 0.9477 0.84 0.9461 0.8051 0.9602 0.9549] 2020-12-17 20:33:36 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 20:33:41 [INFO] [TRAIN] epoch=53, iter=35010/40000, loss=0.1773, lr=0.001536, batch_cost=0.4903, reader_cost=0.0001 | ETA 00:40:46 2020-12-17 20:33:46 [INFO] [TRAIN] epoch=53, iter=35020/40000, loss=0.2498, lr=0.001534, batch_cost=0.4912, reader_cost=0.0001 | ETA 00:40:46 2020-12-17 20:33:51 [INFO] [TRAIN] epoch=53, iter=35030/40000, loss=0.1828, lr=0.001531, batch_cost=0.4771, reader_cost=0.0001 | ETA 00:39:30 2020-12-17 20:33:56 [INFO] [TRAIN] epoch=54, iter=35040/40000, loss=0.1721, lr=0.001528, batch_cost=0.5056, reader_cost=0.0388 | ETA 00:41:47 2020-12-17 20:34:01 [INFO] [TRAIN] epoch=54, iter=35050/40000, loss=0.1753, lr=0.001525, batch_cost=0.4986, reader_cost=0.0001 | ETA 00:41:08 2020-12-17 20:34:06 [INFO] [TRAIN] epoch=54, iter=35060/40000, loss=0.1840, lr=0.001523, batch_cost=0.5037, reader_cost=0.0001 | ETA 00:41:28 2020-12-17 20:34:11 [INFO] [TRAIN] epoch=54, iter=35070/40000, loss=0.1922, lr=0.001520, batch_cost=0.5125, reader_cost=0.0001 | ETA 00:42:06 2020-12-17 20:34:16 [INFO] [TRAIN] epoch=54, iter=35080/40000, loss=0.2440, lr=0.001517, batch_cost=0.5039, reader_cost=0.0001 | ETA 00:41:19 2020-12-17 20:34:21 [INFO] [TRAIN] epoch=54, iter=35090/40000, loss=0.1834, lr=0.001514, batch_cost=0.5084, reader_cost=0.0001 | ETA 00:41:36 2020-12-17 20:34:26 [INFO] [TRAIN] epoch=54, iter=35100/40000, loss=0.1416, lr=0.001511, batch_cost=0.4850, reader_cost=0.0001 | ETA 00:39:36 2020-12-17 20:34:31 [INFO] [TRAIN] epoch=54, iter=35110/40000, loss=0.1615, lr=0.001509, batch_cost=0.4929, reader_cost=0.0001 | ETA 00:40:10 2020-12-17 20:34:36 [INFO] [TRAIN] epoch=54, iter=35120/40000, loss=0.2156, lr=0.001506, batch_cost=0.4855, reader_cost=0.0001 | ETA 00:39:29 2020-12-17 20:34:41 [INFO] [TRAIN] epoch=54, iter=35130/40000, loss=0.2440, lr=0.001503, batch_cost=0.5010, reader_cost=0.0001 | ETA 00:40:39 2020-12-17 20:34:46 [INFO] [TRAIN] epoch=54, iter=35140/40000, loss=0.2602, lr=0.001500, batch_cost=0.5072, reader_cost=0.0001 | ETA 00:41:05 2020-12-17 20:34:51 [INFO] [TRAIN] epoch=54, iter=35150/40000, loss=0.2091, lr=0.001498, batch_cost=0.5074, reader_cost=0.0001 | ETA 00:41:01 2020-12-17 20:34:56 [INFO] [TRAIN] epoch=54, iter=35160/40000, loss=0.2197, lr=0.001495, batch_cost=0.5006, reader_cost=0.0001 | ETA 00:40:22 2020-12-17 20:35:01 [INFO] [TRAIN] epoch=54, iter=35170/40000, loss=0.1825, lr=0.001492, batch_cost=0.4862, reader_cost=0.0001 | ETA 00:39:08 2020-12-17 20:35:06 [INFO] [TRAIN] epoch=54, iter=35180/40000, loss=0.1949, lr=0.001489, batch_cost=0.5102, reader_cost=0.0001 | ETA 00:40:58 2020-12-17 20:35:11 [INFO] [TRAIN] epoch=54, iter=35190/40000, loss=0.1980, lr=0.001486, batch_cost=0.4985, reader_cost=0.0001 | ETA 00:39:57 2020-12-17 20:35:16 [INFO] [TRAIN] epoch=54, iter=35200/40000, loss=0.1819, lr=0.001484, batch_cost=0.5021, reader_cost=0.0004 | ETA 00:40:09 2020-12-17 20:35:21 [INFO] [TRAIN] epoch=54, iter=35210/40000, loss=0.1750, lr=0.001481, batch_cost=0.5068, reader_cost=0.0001 | ETA 00:40:27 2020-12-17 20:35:26 [INFO] [TRAIN] epoch=54, iter=35220/40000, loss=0.1996, lr=0.001478, batch_cost=0.4920, reader_cost=0.0001 | ETA 00:39:11 2020-12-17 20:35:31 [INFO] [TRAIN] epoch=54, iter=35230/40000, loss=0.1599, lr=0.001475, batch_cost=0.4931, reader_cost=0.0001 | ETA 00:39:11 2020-12-17 20:35:36 [INFO] [TRAIN] epoch=54, iter=35240/40000, loss=0.1857, lr=0.001473, batch_cost=0.4847, reader_cost=0.0001 | ETA 00:38:27 2020-12-17 20:35:41 [INFO] [TRAIN] epoch=54, iter=35250/40000, loss=0.1501, lr=0.001470, batch_cost=0.4913, reader_cost=0.0001 | ETA 00:38:53 2020-12-17 20:35:46 [INFO] [TRAIN] epoch=54, iter=35260/40000, loss=0.1498, lr=0.001467, batch_cost=0.4975, reader_cost=0.0001 | ETA 00:39:17 2020-12-17 20:35:51 [INFO] [TRAIN] epoch=54, iter=35270/40000, loss=0.2245, lr=0.001464, batch_cost=0.4966, reader_cost=0.0001 | ETA 00:39:08 2020-12-17 20:35:55 [INFO] [TRAIN] epoch=54, iter=35280/40000, loss=0.1996, lr=0.001461, batch_cost=0.4912, reader_cost=0.0001 | ETA 00:38:38 2020-12-17 20:36:01 [INFO] [TRAIN] epoch=54, iter=35290/40000, loss=0.1924, lr=0.001459, batch_cost=0.5262, reader_cost=0.0001 | ETA 00:41:18 2020-12-17 20:36:06 [INFO] [TRAIN] epoch=54, iter=35300/40000, loss=0.1529, lr=0.001456, batch_cost=0.5213, reader_cost=0.0001 | ETA 00:40:49 2020-12-17 20:36:11 [INFO] [TRAIN] epoch=54, iter=35310/40000, loss=0.1866, lr=0.001453, batch_cost=0.4972, reader_cost=0.0001 | ETA 00:38:51 2020-12-17 20:36:16 [INFO] [TRAIN] epoch=54, iter=35320/40000, loss=0.1965, lr=0.001450, batch_cost=0.4682, reader_cost=0.0001 | ETA 00:36:31 2020-12-17 20:36:21 [INFO] [TRAIN] epoch=54, iter=35330/40000, loss=0.2313, lr=0.001447, batch_cost=0.4927, reader_cost=0.0001 | ETA 00:38:21 2020-12-17 20:36:25 [INFO] [TRAIN] epoch=54, iter=35340/40000, loss=0.1786, lr=0.001445, batch_cost=0.4946, reader_cost=0.0001 | ETA 00:38:24 2020-12-17 20:36:30 [INFO] [TRAIN] epoch=54, iter=35350/40000, loss=0.1821, lr=0.001442, batch_cost=0.4985, reader_cost=0.0001 | ETA 00:38:38 2020-12-17 20:36:35 [INFO] [TRAIN] epoch=54, iter=35360/40000, loss=0.1869, lr=0.001439, batch_cost=0.4968, reader_cost=0.0001 | ETA 00:38:25 2020-12-17 20:36:41 [INFO] [TRAIN] epoch=54, iter=35370/40000, loss=0.2316, lr=0.001436, batch_cost=0.5216, reader_cost=0.0001 | ETA 00:40:15 2020-12-17 20:36:46 [INFO] [TRAIN] epoch=54, iter=35380/40000, loss=0.2229, lr=0.001434, batch_cost=0.5053, reader_cost=0.0001 | ETA 00:38:54 2020-12-17 20:36:51 [INFO] [TRAIN] epoch=54, iter=35390/40000, loss=0.2072, lr=0.001431, batch_cost=0.5027, reader_cost=0.0001 | ETA 00:38:37 2020-12-17 20:36:56 [INFO] [TRAIN] epoch=54, iter=35400/40000, loss=0.2109, lr=0.001428, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:38:15 2020-12-17 20:37:01 [INFO] [TRAIN] epoch=54, iter=35410/40000, loss=0.1677, lr=0.001425, batch_cost=0.5027, reader_cost=0.0001 | ETA 00:38:27 2020-12-17 20:37:06 [INFO] [TRAIN] epoch=54, iter=35420/40000, loss=0.2431, lr=0.001422, batch_cost=0.5072, reader_cost=0.0001 | ETA 00:38:42 2020-12-17 20:37:11 [INFO] [TRAIN] epoch=54, iter=35430/40000, loss=0.1921, lr=0.001420, batch_cost=0.4981, reader_cost=0.0001 | ETA 00:37:56 2020-12-17 20:37:16 [INFO] [TRAIN] epoch=54, iter=35440/40000, loss=0.1351, lr=0.001417, batch_cost=0.4938, reader_cost=0.0001 | ETA 00:37:31 2020-12-17 20:37:21 [INFO] [TRAIN] epoch=54, iter=35450/40000, loss=0.2057, lr=0.001414, batch_cost=0.5097, reader_cost=0.0001 | ETA 00:38:39 2020-12-17 20:37:26 [INFO] [TRAIN] epoch=54, iter=35460/40000, loss=0.1648, lr=0.001411, batch_cost=0.5023, reader_cost=0.0001 | ETA 00:38:00 2020-12-17 20:37:31 [INFO] [TRAIN] epoch=54, iter=35470/40000, loss=0.1629, lr=0.001408, batch_cost=0.5089, reader_cost=0.0001 | ETA 00:38:25 2020-12-17 20:37:36 [INFO] [TRAIN] epoch=54, iter=35480/40000, loss=0.2183, lr=0.001406, batch_cost=0.4983, reader_cost=0.0001 | ETA 00:37:32 2020-12-17 20:37:41 [INFO] [TRAIN] epoch=54, iter=35490/40000, loss=0.2532, lr=0.001403, batch_cost=0.5117, reader_cost=0.0001 | ETA 00:38:27 2020-12-17 20:37:46 [INFO] [TRAIN] epoch=54, iter=35500/40000, loss=0.2108, lr=0.001400, batch_cost=0.5071, reader_cost=0.0001 | ETA 00:38:01 2020-12-17 20:37:51 [INFO] [TRAIN] epoch=54, iter=35510/40000, loss=0.2731, lr=0.001397, batch_cost=0.4968, reader_cost=0.0001 | ETA 00:37:10 2020-12-17 20:37:56 [INFO] [TRAIN] epoch=54, iter=35520/40000, loss=0.2058, lr=0.001394, batch_cost=0.4919, reader_cost=0.0001 | ETA 00:36:43 2020-12-17 20:38:01 [INFO] [TRAIN] epoch=54, iter=35530/40000, loss=0.2154, lr=0.001392, batch_cost=0.5091, reader_cost=0.0001 | ETA 00:37:55 2020-12-17 20:38:06 [INFO] [TRAIN] epoch=54, iter=35540/40000, loss=0.2099, lr=0.001389, batch_cost=0.5158, reader_cost=0.0001 | ETA 00:38:20 2020-12-17 20:38:11 [INFO] [TRAIN] epoch=54, iter=35550/40000, loss=0.2003, lr=0.001386, batch_cost=0.4940, reader_cost=0.0001 | ETA 00:36:38 2020-12-17 20:38:16 [INFO] [TRAIN] epoch=54, iter=35560/40000, loss=0.1720, lr=0.001383, batch_cost=0.5105, reader_cost=0.0001 | ETA 00:37:46 2020-12-17 20:38:21 [INFO] [TRAIN] epoch=54, iter=35570/40000, loss=0.1869, lr=0.001380, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:36:50 2020-12-17 20:38:26 [INFO] [TRAIN] epoch=54, iter=35580/40000, loss=0.1925, lr=0.001378, batch_cost=0.5074, reader_cost=0.0001 | ETA 00:37:22 2020-12-17 20:38:31 [INFO] [TRAIN] epoch=54, iter=35590/40000, loss=0.2251, lr=0.001375, batch_cost=0.4954, reader_cost=0.0001 | ETA 00:36:24 2020-12-17 20:38:36 [INFO] [TRAIN] epoch=54, iter=35600/40000, loss=0.2411, lr=0.001372, batch_cost=0.4960, reader_cost=0.0001 | ETA 00:36:22 2020-12-17 20:38:41 [INFO] [TRAIN] epoch=54, iter=35610/40000, loss=0.1788, lr=0.001369, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:36:34 2020-12-17 20:38:46 [INFO] [TRAIN] epoch=54, iter=35620/40000, loss=0.2410, lr=0.001366, batch_cost=0.5011, reader_cost=0.0001 | ETA 00:36:34 2020-12-17 20:38:51 [INFO] [TRAIN] epoch=54, iter=35630/40000, loss=0.1874, lr=0.001364, batch_cost=0.5085, reader_cost=0.0001 | ETA 00:37:01 2020-12-17 20:38:56 [INFO] [TRAIN] epoch=54, iter=35640/40000, loss=0.2116, lr=0.001361, batch_cost=0.4958, reader_cost=0.0001 | ETA 00:36:01 2020-12-17 20:39:01 [INFO] [TRAIN] epoch=54, iter=35650/40000, loss=0.2154, lr=0.001358, batch_cost=0.4994, reader_cost=0.0001 | ETA 00:36:12 2020-12-17 20:39:06 [INFO] [TRAIN] epoch=54, iter=35660/40000, loss=0.2297, lr=0.001355, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:36:01 2020-12-17 20:39:11 [INFO] [TRAIN] epoch=54, iter=35670/40000, loss=0.2633, lr=0.001352, batch_cost=0.5017, reader_cost=0.0001 | ETA 00:36:12 2020-12-17 20:39:16 [INFO] [TRAIN] epoch=54, iter=35680/40000, loss=0.1954, lr=0.001349, batch_cost=0.5035, reader_cost=0.0001 | ETA 00:36:14 2020-12-17 20:39:21 [INFO] [TRAIN] epoch=54, iter=35690/40000, loss=0.1639, lr=0.001347, batch_cost=0.4974, reader_cost=0.0001 | ETA 00:35:43 2020-12-17 20:39:26 [INFO] [TRAIN] epoch=55, iter=35700/40000, loss=0.1807, lr=0.001344, batch_cost=0.4972, reader_cost=0.0388 | ETA 00:35:37 2020-12-17 20:39:31 [INFO] [TRAIN] epoch=55, iter=35710/40000, loss=0.2026, lr=0.001341, batch_cost=0.5068, reader_cost=0.0001 | ETA 00:36:14 2020-12-17 20:39:36 [INFO] [TRAIN] epoch=55, iter=35720/40000, loss=0.1421, lr=0.001338, batch_cost=0.4998, reader_cost=0.0001 | ETA 00:35:39 2020-12-17 20:39:41 [INFO] [TRAIN] epoch=55, iter=35730/40000, loss=0.2147, lr=0.001335, batch_cost=0.5054, reader_cost=0.0001 | ETA 00:35:58 2020-12-17 20:39:46 [INFO] [TRAIN] epoch=55, iter=35740/40000, loss=0.1999, lr=0.001333, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:35:27 2020-12-17 20:39:52 [INFO] [TRAIN] epoch=55, iter=35750/40000, loss=0.2369, lr=0.001330, batch_cost=0.5061, reader_cost=0.0001 | ETA 00:35:50 2020-12-17 20:39:57 [INFO] [TRAIN] epoch=55, iter=35760/40000, loss=0.1991, lr=0.001327, batch_cost=0.5110, reader_cost=0.0001 | ETA 00:36:06 2020-12-17 20:40:02 [INFO] [TRAIN] epoch=55, iter=35770/40000, loss=0.1749, lr=0.001324, batch_cost=0.4963, reader_cost=0.0001 | ETA 00:34:59 2020-12-17 20:40:07 [INFO] [TRAIN] epoch=55, iter=35780/40000, loss=0.1387, lr=0.001321, batch_cost=0.4943, reader_cost=0.0001 | ETA 00:34:45 2020-12-17 20:40:12 [INFO] [TRAIN] epoch=55, iter=35790/40000, loss=0.1852, lr=0.001319, batch_cost=0.4986, reader_cost=0.0001 | ETA 00:34:59 2020-12-17 20:40:16 [INFO] [TRAIN] epoch=55, iter=35800/40000, loss=0.1975, lr=0.001316, batch_cost=0.4942, reader_cost=0.0001 | ETA 00:34:35 2020-12-17 20:40:21 [INFO] [TRAIN] epoch=55, iter=35810/40000, loss=0.1889, lr=0.001313, batch_cost=0.5018, reader_cost=0.0001 | ETA 00:35:02 2020-12-17 20:40:27 [INFO] [TRAIN] epoch=55, iter=35820/40000, loss=0.1885, lr=0.001310, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:37:32 2020-12-17 20:40:32 [INFO] [TRAIN] epoch=55, iter=35830/40000, loss=0.2280, lr=0.001307, batch_cost=0.5025, reader_cost=0.0001 | ETA 00:34:55 2020-12-17 20:40:37 [INFO] [TRAIN] epoch=55, iter=35840/40000, loss=0.1681, lr=0.001304, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:34:35 2020-12-17 20:40:42 [INFO] [TRAIN] epoch=55, iter=35850/40000, loss=0.2332, lr=0.001302, batch_cost=0.5016, reader_cost=0.0001 | ETA 00:34:41 2020-12-17 20:40:47 [INFO] [TRAIN] epoch=55, iter=35860/40000, loss=0.2631, lr=0.001299, batch_cost=0.5140, reader_cost=0.0001 | ETA 00:35:27 2020-12-17 20:40:52 [INFO] [TRAIN] epoch=55, iter=35870/40000, loss=0.2045, lr=0.001296, batch_cost=0.4839, reader_cost=0.0001 | ETA 00:33:18 2020-12-17 20:40:57 [INFO] [TRAIN] epoch=55, iter=35880/40000, loss=0.1684, lr=0.001293, batch_cost=0.5122, reader_cost=0.0001 | ETA 00:35:10 2020-12-17 20:41:02 [INFO] [TRAIN] epoch=55, iter=35890/40000, loss=0.2105, lr=0.001290, batch_cost=0.5045, reader_cost=0.0001 | ETA 00:34:33 2020-12-17 20:41:07 [INFO] [TRAIN] epoch=55, iter=35900/40000, loss=0.1900, lr=0.001287, batch_cost=0.5062, reader_cost=0.0001 | ETA 00:34:35 2020-12-17 20:41:12 [INFO] [TRAIN] epoch=55, iter=35910/40000, loss=0.2349, lr=0.001285, batch_cost=0.4992, reader_cost=0.0001 | ETA 00:34:01 2020-12-17 20:41:17 [INFO] [TRAIN] epoch=55, iter=35920/40000, loss=0.2082, lr=0.001282, batch_cost=0.5020, reader_cost=0.0001 | ETA 00:34:08 2020-12-17 20:41:22 [INFO] [TRAIN] epoch=55, iter=35930/40000, loss=0.1712, lr=0.001279, batch_cost=0.5011, reader_cost=0.0001 | ETA 00:33:59 2020-12-17 20:41:27 [INFO] [TRAIN] epoch=55, iter=35940/40000, loss=0.1716, lr=0.001276, batch_cost=0.5070, reader_cost=0.0001 | ETA 00:34:18 2020-12-17 20:41:32 [INFO] [TRAIN] epoch=55, iter=35950/40000, loss=0.1941, lr=0.001273, batch_cost=0.5041, reader_cost=0.0001 | ETA 00:34:01 2020-12-17 20:41:37 [INFO] [TRAIN] epoch=55, iter=35960/40000, loss=0.1814, lr=0.001271, batch_cost=0.5128, reader_cost=0.0001 | ETA 00:34:31 2020-12-17 20:41:42 [INFO] [TRAIN] epoch=55, iter=35970/40000, loss=0.2306, lr=0.001268, batch_cost=0.5127, reader_cost=0.0001 | ETA 00:34:26 2020-12-17 20:41:48 [INFO] [TRAIN] epoch=55, iter=35980/40000, loss=0.1732, lr=0.001265, batch_cost=0.5049, reader_cost=0.0001 | ETA 00:33:49 2020-12-17 20:41:53 [INFO] [TRAIN] epoch=55, iter=35990/40000, loss=0.1703, lr=0.001262, batch_cost=0.5046, reader_cost=0.0001 | ETA 00:33:43 2020-12-17 20:41:58 [INFO] [TRAIN] epoch=55, iter=36000/40000, loss=0.2188, lr=0.001259, batch_cost=0.5009, reader_cost=0.0001 | ETA 00:33:23 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:41:58 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 20:42:19 [INFO] [EVAL] #Images=1449 mIoU=0.7924 Acc=0.9539 Kappa=0.8974 2020-12-17 20:42:19 [INFO] [EVAL] Class IoU: [0.9473 0.9071 0.4316 0.9012 0.6907 0.8432 0.9555 0.8969 0.9395 0.4396 0.8904 0.5825 0.9057 0.9072 0.8715 0.8733 0.6349 0.8634 0.4737 0.9024 0.7835] 2020-12-17 20:42:19 [INFO] [EVAL] Class Acc: [0.9663 0.9522 0.4483 0.9484 0.826 0.9044 0.984 0.9524 0.9612 0.6482 0.9522 0.9485 0.9489 0.9541 0.9405 0.9412 0.8555 0.9399 0.8022 0.9535 0.9578] 2020-12-17 20:42:23 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 20:42:28 [INFO] [TRAIN] epoch=55, iter=36010/40000, loss=0.1758, lr=0.001256, batch_cost=0.5137, reader_cost=0.0001 | ETA 00:34:09 2020-12-17 20:42:33 [INFO] [TRAIN] epoch=55, iter=36020/40000, loss=0.1803, lr=0.001254, batch_cost=0.5084, reader_cost=0.0001 | ETA 00:33:43 2020-12-17 20:42:38 [INFO] [TRAIN] epoch=55, iter=36030/40000, loss=0.1734, lr=0.001251, batch_cost=0.4846, reader_cost=0.0001 | ETA 00:32:03 2020-12-17 20:42:43 [INFO] [TRAIN] epoch=55, iter=36040/40000, loss=0.1959, lr=0.001248, batch_cost=0.4930, reader_cost=0.0001 | ETA 00:32:32 2020-12-17 20:42:48 [INFO] [TRAIN] epoch=55, iter=36050/40000, loss=0.1789, lr=0.001245, batch_cost=0.4964, reader_cost=0.0001 | ETA 00:32:40 2020-12-17 20:42:53 [INFO] [TRAIN] epoch=55, iter=36060/40000, loss=0.2324, lr=0.001242, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:32:45 2020-12-17 20:42:58 [INFO] [TRAIN] epoch=55, iter=36070/40000, loss=0.1996, lr=0.001239, batch_cost=0.5108, reader_cost=0.0001 | ETA 00:33:27 2020-12-17 20:43:03 [INFO] [TRAIN] epoch=55, iter=36080/40000, loss=0.2106, lr=0.001237, batch_cost=0.5095, reader_cost=0.0001 | ETA 00:33:17 2020-12-17 20:43:08 [INFO] [TRAIN] epoch=55, iter=36090/40000, loss=0.1943, lr=0.001234, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:32:50 2020-12-17 20:43:13 [INFO] [TRAIN] epoch=55, iter=36100/40000, loss=0.2373, lr=0.001231, batch_cost=0.5010, reader_cost=0.0001 | ETA 00:32:33 2020-12-17 20:43:18 [INFO] [TRAIN] epoch=55, iter=36110/40000, loss=0.1600, lr=0.001228, batch_cost=0.5067, reader_cost=0.0001 | ETA 00:32:50 2020-12-17 20:43:23 [INFO] [TRAIN] epoch=55, iter=36120/40000, loss=0.1982, lr=0.001225, batch_cost=0.5083, reader_cost=0.0001 | ETA 00:32:52 2020-12-17 20:43:28 [INFO] [TRAIN] epoch=55, iter=36130/40000, loss=0.1724, lr=0.001222, batch_cost=0.5031, reader_cost=0.0001 | ETA 00:32:27 2020-12-17 20:43:33 [INFO] [TRAIN] epoch=55, iter=36140/40000, loss=0.2040, lr=0.001219, batch_cost=0.5005, reader_cost=0.0001 | ETA 00:32:11 2020-12-17 20:43:38 [INFO] [TRAIN] epoch=55, iter=36150/40000, loss=0.2010, lr=0.001217, batch_cost=0.5112, reader_cost=0.0001 | ETA 00:32:48 2020-12-17 20:43:43 [INFO] [TRAIN] epoch=55, iter=36160/40000, loss=0.2085, lr=0.001214, batch_cost=0.4963, reader_cost=0.0001 | ETA 00:31:45 2020-12-17 20:43:48 [INFO] [TRAIN] epoch=55, iter=36170/40000, loss=0.2054, lr=0.001211, batch_cost=0.5009, reader_cost=0.0001 | ETA 00:31:58 2020-12-17 20:43:53 [INFO] [TRAIN] epoch=55, iter=36180/40000, loss=0.1713, lr=0.001208, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:31:45 2020-12-17 20:43:59 [INFO] [TRAIN] epoch=55, iter=36190/40000, loss=0.2302, lr=0.001205, batch_cost=0.5137, reader_cost=0.0001 | ETA 00:32:37 2020-12-17 20:44:04 [INFO] [TRAIN] epoch=55, iter=36200/40000, loss=0.1610, lr=0.001202, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:31:36 2020-12-17 20:44:09 [INFO] [TRAIN] epoch=55, iter=36210/40000, loss=0.2315, lr=0.001200, batch_cost=0.5143, reader_cost=0.0001 | ETA 00:32:29 2020-12-17 20:44:14 [INFO] [TRAIN] epoch=55, iter=36220/40000, loss=0.1888, lr=0.001197, batch_cost=0.5111, reader_cost=0.0001 | ETA 00:32:11 2020-12-17 20:44:19 [INFO] [TRAIN] epoch=55, iter=36230/40000, loss=0.1752, lr=0.001194, batch_cost=0.5307, reader_cost=0.0001 | ETA 00:33:20 2020-12-17 20:44:24 [INFO] [TRAIN] epoch=55, iter=36240/40000, loss=0.1991, lr=0.001191, batch_cost=0.4971, reader_cost=0.0001 | ETA 00:31:08 2020-12-17 20:44:29 [INFO] [TRAIN] epoch=55, iter=36250/40000, loss=0.2029, lr=0.001188, batch_cost=0.5043, reader_cost=0.0001 | ETA 00:31:31 2020-12-17 20:44:34 [INFO] [TRAIN] epoch=55, iter=36260/40000, loss=0.1508, lr=0.001185, batch_cost=0.4881, reader_cost=0.0001 | ETA 00:30:25 2020-12-17 20:44:39 [INFO] [TRAIN] epoch=55, iter=36270/40000, loss=0.2489, lr=0.001182, batch_cost=0.5045, reader_cost=0.0001 | ETA 00:31:21 2020-12-17 20:44:44 [INFO] [TRAIN] epoch=55, iter=36280/40000, loss=0.2264, lr=0.001180, batch_cost=0.4972, reader_cost=0.0001 | ETA 00:30:49 2020-12-17 20:44:49 [INFO] [TRAIN] epoch=55, iter=36290/40000, loss=0.1601, lr=0.001177, batch_cost=0.5012, reader_cost=0.0001 | ETA 00:30:59 2020-12-17 20:44:54 [INFO] [TRAIN] epoch=55, iter=36300/40000, loss=0.2238, lr=0.001174, batch_cost=0.5021, reader_cost=0.0001 | ETA 00:30:57 2020-12-17 20:44:59 [INFO] [TRAIN] epoch=55, iter=36310/40000, loss=0.2144, lr=0.001171, batch_cost=0.5122, reader_cost=0.0001 | ETA 00:31:30 2020-12-17 20:45:04 [INFO] [TRAIN] epoch=55, iter=36320/40000, loss=0.2500, lr=0.001168, batch_cost=0.4941, reader_cost=0.0001 | ETA 00:30:18 2020-12-17 20:45:09 [INFO] [TRAIN] epoch=55, iter=36330/40000, loss=0.1963, lr=0.001165, batch_cost=0.5109, reader_cost=0.0001 | ETA 00:31:14 2020-12-17 20:45:14 [INFO] [TRAIN] epoch=55, iter=36340/40000, loss=0.1999, lr=0.001162, batch_cost=0.5145, reader_cost=0.0001 | ETA 00:31:23 2020-12-17 20:45:19 [INFO] [TRAIN] epoch=55, iter=36350/40000, loss=0.1660, lr=0.001160, batch_cost=0.5036, reader_cost=0.0001 | ETA 00:30:38 2020-12-17 20:45:24 [INFO] [TRAIN] epoch=56, iter=36360/40000, loss=0.1991, lr=0.001157, batch_cost=0.4921, reader_cost=0.0271 | ETA 00:29:51 2020-12-17 20:45:29 [INFO] [TRAIN] epoch=56, iter=36370/40000, loss=0.2051, lr=0.001154, batch_cost=0.4904, reader_cost=0.0001 | ETA 00:29:40 2020-12-17 20:45:34 [INFO] [TRAIN] epoch=56, iter=36380/40000, loss=0.2213, lr=0.001151, batch_cost=0.4974, reader_cost=0.0001 | ETA 00:30:00 2020-12-17 20:45:39 [INFO] [TRAIN] epoch=56, iter=36390/40000, loss=0.2278, lr=0.001148, batch_cost=0.5208, reader_cost=0.0001 | ETA 00:31:20 2020-12-17 20:45:44 [INFO] [TRAIN] epoch=56, iter=36400/40000, loss=0.2388, lr=0.001145, batch_cost=0.5058, reader_cost=0.0001 | ETA 00:30:20 2020-12-17 20:45:49 [INFO] [TRAIN] epoch=56, iter=36410/40000, loss=0.1210, lr=0.001142, batch_cost=0.4914, reader_cost=0.0001 | ETA 00:29:24 2020-12-17 20:45:54 [INFO] [TRAIN] epoch=56, iter=36420/40000, loss=0.1843, lr=0.001140, batch_cost=0.5049, reader_cost=0.0001 | ETA 00:30:07 2020-12-17 20:45:59 [INFO] [TRAIN] epoch=56, iter=36430/40000, loss=0.2196, lr=0.001137, batch_cost=0.5033, reader_cost=0.0001 | ETA 00:29:56 2020-12-17 20:46:04 [INFO] [TRAIN] epoch=56, iter=36440/40000, loss=0.1581, lr=0.001134, batch_cost=0.4959, reader_cost=0.0001 | ETA 00:29:25 2020-12-17 20:46:10 [INFO] [TRAIN] epoch=56, iter=36450/40000, loss=0.1934, lr=0.001131, batch_cost=0.5152, reader_cost=0.0001 | ETA 00:30:28 2020-12-17 20:46:15 [INFO] [TRAIN] epoch=56, iter=36460/40000, loss=0.1673, lr=0.001128, batch_cost=0.5198, reader_cost=0.0001 | ETA 00:30:40 2020-12-17 20:46:20 [INFO] [TRAIN] epoch=56, iter=36470/40000, loss=0.2425, lr=0.001125, batch_cost=0.5162, reader_cost=0.0001 | ETA 00:30:22 2020-12-17 20:46:25 [INFO] [TRAIN] epoch=56, iter=36480/40000, loss=0.1998, lr=0.001122, batch_cost=0.5192, reader_cost=0.0001 | ETA 00:30:27 2020-12-17 20:46:30 [INFO] [TRAIN] epoch=56, iter=36490/40000, loss=0.2045, lr=0.001120, batch_cost=0.4984, reader_cost=0.0001 | ETA 00:29:09 2020-12-17 20:46:35 [INFO] [TRAIN] epoch=56, iter=36500/40000, loss=0.1841, lr=0.001117, batch_cost=0.4927, reader_cost=0.0001 | ETA 00:28:44 2020-12-17 20:46:40 [INFO] [TRAIN] epoch=56, iter=36510/40000, loss=0.2075, lr=0.001114, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:29:03 2020-12-17 20:46:45 [INFO] [TRAIN] epoch=56, iter=36520/40000, loss=0.2005, lr=0.001111, batch_cost=0.4975, reader_cost=0.0001 | ETA 00:28:51 2020-12-17 20:46:50 [INFO] [TRAIN] epoch=56, iter=36530/40000, loss=0.2551, lr=0.001108, batch_cost=0.4966, reader_cost=0.0001 | ETA 00:28:43 2020-12-17 20:46:55 [INFO] [TRAIN] epoch=56, iter=36540/40000, loss=0.1961, lr=0.001105, batch_cost=0.4904, reader_cost=0.0001 | ETA 00:28:16 2020-12-17 20:47:00 [INFO] [TRAIN] epoch=56, iter=36550/40000, loss=0.1440, lr=0.001102, batch_cost=0.5062, reader_cost=0.0001 | ETA 00:29:06 2020-12-17 20:47:05 [INFO] [TRAIN] epoch=56, iter=36560/40000, loss=0.2715, lr=0.001099, batch_cost=0.5061, reader_cost=0.0001 | ETA 00:29:00 2020-12-17 20:47:10 [INFO] [TRAIN] epoch=56, iter=36570/40000, loss=0.1711, lr=0.001097, batch_cost=0.5000, reader_cost=0.0001 | ETA 00:28:35 2020-12-17 20:47:15 [INFO] [TRAIN] epoch=56, iter=36580/40000, loss=0.2016, lr=0.001094, batch_cost=0.4897, reader_cost=0.0001 | ETA 00:27:54 2020-12-17 20:47:20 [INFO] [TRAIN] epoch=56, iter=36590/40000, loss=0.2079, lr=0.001091, batch_cost=0.5044, reader_cost=0.0001 | ETA 00:28:40 2020-12-17 20:47:25 [INFO] [TRAIN] epoch=56, iter=36600/40000, loss=0.2180, lr=0.001088, batch_cost=0.4882, reader_cost=0.0001 | ETA 00:27:39 2020-12-17 20:47:30 [INFO] [TRAIN] epoch=56, iter=36610/40000, loss=0.1648, lr=0.001085, batch_cost=0.5032, reader_cost=0.0001 | ETA 00:28:25 2020-12-17 20:47:35 [INFO] [TRAIN] epoch=56, iter=36620/40000, loss=0.2111, lr=0.001082, batch_cost=0.5082, reader_cost=0.0001 | ETA 00:28:37 2020-12-17 20:47:40 [INFO] [TRAIN] epoch=56, iter=36630/40000, loss=0.1796, lr=0.001079, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:27:44 2020-12-17 20:47:45 [INFO] [TRAIN] epoch=56, iter=36640/40000, loss=0.1765, lr=0.001076, batch_cost=0.4996, reader_cost=0.0001 | ETA 00:27:58 2020-12-17 20:47:50 [INFO] [TRAIN] epoch=56, iter=36650/40000, loss=0.1862, lr=0.001074, batch_cost=0.5073, reader_cost=0.0001 | ETA 00:28:19 2020-12-17 20:47:55 [INFO] [TRAIN] epoch=56, iter=36660/40000, loss=0.2351, lr=0.001071, batch_cost=0.4868, reader_cost=0.0001 | ETA 00:27:06 2020-12-17 20:48:00 [INFO] [TRAIN] epoch=56, iter=36670/40000, loss=0.2803, lr=0.001068, batch_cost=0.4986, reader_cost=0.0001 | ETA 00:27:40 2020-12-17 20:48:05 [INFO] [TRAIN] epoch=56, iter=36680/40000, loss=0.1969, lr=0.001065, batch_cost=0.5113, reader_cost=0.0001 | ETA 00:28:17 2020-12-17 20:48:10 [INFO] [TRAIN] epoch=56, iter=36690/40000, loss=0.1709, lr=0.001062, batch_cost=0.4933, reader_cost=0.0001 | ETA 00:27:12 2020-12-17 20:48:15 [INFO] [TRAIN] epoch=56, iter=36700/40000, loss=0.1822, lr=0.001059, batch_cost=0.4978, reader_cost=0.0001 | ETA 00:27:22 2020-12-17 20:48:20 [INFO] [TRAIN] epoch=56, iter=36710/40000, loss=0.1742, lr=0.001056, batch_cost=0.5001, reader_cost=0.0001 | ETA 00:27:25 2020-12-17 20:48:25 [INFO] [TRAIN] epoch=56, iter=36720/40000, loss=0.2193, lr=0.001053, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:27:16 2020-12-17 20:48:30 [INFO] [TRAIN] epoch=56, iter=36730/40000, loss=0.2214, lr=0.001050, batch_cost=0.5064, reader_cost=0.0001 | ETA 00:27:35 2020-12-17 20:48:35 [INFO] [TRAIN] epoch=56, iter=36740/40000, loss=0.1964, lr=0.001048, batch_cost=0.4945, reader_cost=0.0001 | ETA 00:26:52 2020-12-17 20:48:40 [INFO] [TRAIN] epoch=56, iter=36750/40000, loss=0.1967, lr=0.001045, batch_cost=0.5053, reader_cost=0.0001 | ETA 00:27:22 2020-12-17 20:48:45 [INFO] [TRAIN] epoch=56, iter=36760/40000, loss=0.2157, lr=0.001042, batch_cost=0.5060, reader_cost=0.0001 | ETA 00:27:19 2020-12-17 20:48:50 [INFO] [TRAIN] epoch=56, iter=36770/40000, loss=0.1455, lr=0.001039, batch_cost=0.4950, reader_cost=0.0001 | ETA 00:26:38 2020-12-17 20:48:55 [INFO] [TRAIN] epoch=56, iter=36780/40000, loss=0.2534, lr=0.001036, batch_cost=0.5173, reader_cost=0.0001 | ETA 00:27:45 2020-12-17 20:49:00 [INFO] [TRAIN] epoch=56, iter=36790/40000, loss=0.1747, lr=0.001033, batch_cost=0.5034, reader_cost=0.0001 | ETA 00:26:55 2020-12-17 20:49:05 [INFO] [TRAIN] epoch=56, iter=36800/40000, loss=0.1750, lr=0.001030, batch_cost=0.5102, reader_cost=0.0001 | ETA 00:27:12 2020-12-17 20:49:10 [INFO] [TRAIN] epoch=56, iter=36810/40000, loss=0.2057, lr=0.001027, batch_cost=0.5058, reader_cost=0.0001 | ETA 00:26:53 2020-12-17 20:49:15 [INFO] [TRAIN] epoch=56, iter=36820/40000, loss=0.2197, lr=0.001024, batch_cost=0.5029, reader_cost=0.0001 | ETA 00:26:39 2020-12-17 20:49:20 [INFO] [TRAIN] epoch=56, iter=36830/40000, loss=0.1968, lr=0.001021, batch_cost=0.4895, reader_cost=0.0001 | ETA 00:25:51 2020-12-17 20:49:25 [INFO] [TRAIN] epoch=56, iter=36840/40000, loss=0.2391, lr=0.001019, batch_cost=0.4848, reader_cost=0.0001 | ETA 00:25:31 2020-12-17 20:49:30 [INFO] [TRAIN] epoch=56, iter=36850/40000, loss=0.2449, lr=0.001016, batch_cost=0.5014, reader_cost=0.0001 | ETA 00:26:19 2020-12-17 20:49:35 [INFO] [TRAIN] epoch=56, iter=36860/40000, loss=0.2657, lr=0.001013, batch_cost=0.4951, reader_cost=0.0001 | ETA 00:25:54 2020-12-17 20:49:40 [INFO] [TRAIN] epoch=56, iter=36870/40000, loss=0.2273, lr=0.001010, batch_cost=0.5050, reader_cost=0.0001 | ETA 00:26:20 2020-12-17 20:49:45 [INFO] [TRAIN] epoch=56, iter=36880/40000, loss=0.1772, lr=0.001007, batch_cost=0.5012, reader_cost=0.0001 | ETA 00:26:03 2020-12-17 20:49:50 [INFO] [TRAIN] epoch=56, iter=36890/40000, loss=0.2225, lr=0.001004, batch_cost=0.5120, reader_cost=0.0001 | ETA 00:26:32 2020-12-17 20:49:55 [INFO] [TRAIN] epoch=56, iter=36900/40000, loss=0.2261, lr=0.001001, batch_cost=0.5002, reader_cost=0.0001 | ETA 00:25:50 2020-12-17 20:50:00 [INFO] [TRAIN] epoch=56, iter=36910/40000, loss=0.2485, lr=0.000998, batch_cost=0.5083, reader_cost=0.0001 | ETA 00:26:10 2020-12-17 20:50:05 [INFO] [TRAIN] epoch=56, iter=36920/40000, loss=0.1804, lr=0.000995, batch_cost=0.5171, reader_cost=0.0001 | ETA 00:26:32 2020-12-17 20:50:11 [INFO] [TRAIN] epoch=56, iter=36930/40000, loss=0.1599, lr=0.000992, batch_cost=0.5151, reader_cost=0.0001 | ETA 00:26:21 2020-12-17 20:50:16 [INFO] [TRAIN] epoch=56, iter=36940/40000, loss=0.1818, lr=0.000990, batch_cost=0.5002, reader_cost=0.0001 | ETA 00:25:30 2020-12-17 20:50:21 [INFO] [TRAIN] epoch=56, iter=36950/40000, loss=0.2203, lr=0.000987, batch_cost=0.5041, reader_cost=0.0001 | ETA 00:25:37 2020-12-17 20:50:26 [INFO] [TRAIN] epoch=56, iter=36960/40000, loss=0.1589, lr=0.000984, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:25:01 2020-12-17 20:50:31 [INFO] [TRAIN] epoch=56, iter=36970/40000, loss=0.1706, lr=0.000981, batch_cost=0.5057, reader_cost=0.0001 | ETA 00:25:32 2020-12-17 20:50:36 [INFO] [TRAIN] epoch=56, iter=36980/40000, loss=0.2404, lr=0.000978, batch_cost=0.4936, reader_cost=0.0001 | ETA 00:24:50 2020-12-17 20:50:41 [INFO] [TRAIN] epoch=56, iter=36990/40000, loss=0.1572, lr=0.000975, batch_cost=0.4993, reader_cost=0.0001 | ETA 00:25:03 2020-12-17 20:50:46 [INFO] [TRAIN] epoch=56, iter=37000/40000, loss=0.2164, lr=0.000972, batch_cost=0.5017, reader_cost=0.0001 | ETA 00:25:05 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:50:46 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 2020-12-17 20:51:06 [INFO] [EVAL] #Images=1449 mIoU=0.7901 Acc=0.9534 Kappa=0.8962 2020-12-17 20:51:06 [INFO] [EVAL] Class IoU: [0.9463 0.9034 0.4314 0.8988 0.6963 0.8452 0.957 0.8973 0.9473 0.4117 0.8863 0.576 0.91 0.9078 0.8716 0.8744 0.6323 0.8443 0.4609 0.9102 0.7843] 2020-12-17 20:51:06 [INFO] [EVAL] Class Acc: [0.9655 0.9462 0.4484 0.9443 0.7962 0.9082 0.9812 0.9551 0.9704 0.6515 0.9347 0.9466 0.9448 0.9539 0.9421 0.9456 0.823 0.9412 0.8038 0.9563 0.96 ] 2020-12-17 20:51:10 [INFO] [EVAL] The model with the best validation mIoU (0.7934) was saved at iter 29000. 2020-12-17 20:51:15 [INFO] [TRAIN] epoch=56, iter=37010/40000, loss=0.1710, lr=0.000969, batch_cost=0.4867, reader_cost=0.0001 | ETA 00:24:15 2020-12-17 20:51:20 [INFO] [TRAIN] epoch=57, iter=37020/40000, loss=0.2174, lr=0.000966, batch_cost=0.4888, reader_cost=0.0309 | ETA 00:24:16 2020-12-17 20:51:25 [INFO] [TRAIN] epoch=57, iter=37030/40000, loss=0.1994, lr=0.000963, batch_cost=0.5112, reader_cost=0.0001 | ETA 00:25:18 2020-12-17 20:51:30 [INFO] [TRAIN] epoch=57, iter=37040/40000, loss=0.1905, lr=0.000960, batch_cost=0.5102, reader_cost=0.0001 | ETA 00:25:10 2020-12-17 20:51:35 [INFO] [TRAIN] epoch=57, iter=37050/40000, loss=0.2335, lr=0.000957, batch_cost=0.4954, reader_cost=0.0001 | ETA 00:24:21 2020-12-17 20:51:40 [INFO] [TRAIN] epoch=57, iter=37060/40000, loss=0.2148, lr=0.000955, batch_cost=0.5046, reader_cost=0.0001 | ETA 00:24:43 2020-12-17 20:51:45 [INFO] [TRAIN] epoch=57, iter=37070/40000, loss=0.2010, lr=0.000952, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:24:21 2020-12-17 20:51:50 [INFO] [TRAIN] epoch=57, iter=37080/40000, loss=0.2252, lr=0.000949, batch_cost=0.5337, reader_cost=0.0001 | ETA 00:25:58 2020-12-17 20:51:55 [INFO] [TRAIN] epoch=57, iter=37090/40000, loss=0.2247, lr=0.000946, batch_cost=0.5034, reader_cost=0.0001 | ETA 00:24:24 2020-12-17 20:52:00 [INFO] [TRAIN] epoch=57, iter=37100/40000, loss=0.1771, lr=0.000943, batch_cost=0.5144, reader_cost=0.0001 | ETA 00:24:51 2020-12-17 20:52:05 [INFO] [TRAIN] epoch=57, iter=37110/40000, loss=0.2200, lr=0.000940, batch_cost=0.5048, reader_cost=0.0001 | ETA 00:24:19 2020-12-17 20:52:10 [INFO] [TRAIN] epoch=57, iter=37120/40000, loss=0.1951, lr=0.000937, batch_cost=0.5006, reader_cost=0.0001 | ETA 00:24:01 2020-12-17 20:52:16 [INFO] [TRAIN] epoch=57, iter=37130/40000, loss=0.2011, lr=0.000934, batch_cost=0.5101, reader_cost=0.0001 | ETA 00:24:23 2020-12-17 20:52:20 [INFO] [TRAIN] epoch=57, iter=37140/40000, loss=0.2395, lr=0.000931, batch_cost=0.4859, reader_cost=0.0001 | ETA 00:23:09 2020-12-17 20:52:26 [INFO] [TRAIN] epoch=57, iter=37150/40000, loss=0.2945, lr=0.000928, batch_cost=0.5154, reader_cost=0.0001 | ETA 00:24:29 2020-12-17 20:52:30 [INFO] [TRAIN] epoch=57, iter=37160/40000, loss=0.2070, lr=0.000925, batch_cost=0.4881, reader_cost=0.0001 | ETA 00:23:06 2020-12-17 20:52:35 [INFO] [TRAIN] epoch=57, iter=37170/40000, loss=0.2244, lr=0.000922, batch_cost=0.4957, reader_cost=0.0001 | ETA 00:23:22 2020-12-17 20:52:41 [INFO] [TRAIN] epoch=57, iter=37180/40000, loss=0.2611, lr=0.000919, batch_cost=0.5086, reader_cost=0.0001 | ETA 00:23:54 2020-12-17 20:52:46 [INFO] [TRAIN] epoch=57, iter=37190/40000, loss=0.2047, lr=0.000916, batch_cost=0.5082, reader_cost=0.0001 | ETA 00:23:48 2020-12-17 20:52:51 [INFO] [TRAIN] epoch=57, iter=37200/40000, loss=0.2525, lr=0.000914, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:23:16 2020-12-17 20:52:56 [INFO] [TRAIN] epoch=57, iter=37210/40000, loss=0.2020, lr=0.000911, batch_cost=0.5102, reader_cost=0.0001 | ETA 00:23:43 2020-12-17 20:53:01 [INFO] [TRAIN] epoch=57, iter=37220/40000, loss=0.1683, lr=0.000908, batch_cost=0.5164, reader_cost=0.0001 | ETA 00:23:55 2020-12-17 20:53:06 [INFO] [TRAIN] epoch=57, iter=37230/40000, loss=0.1865, lr=0.000905, batch_cost=0.5019, reader_cost=0.0001 | ETA 00:23:10 2020-12-17 20:53:11 [INFO] [TRAIN] epoch=57, iter=37240/40000, loss=0.1754, lr=0.000902, batch_cost=0.5007, reader_cost=0.0001 | ETA 00:23:01 2020-12-17 20:53:16 [INFO] [TRAIN] epoch=57, iter=37250/40000, loss=0.2199, lr=0.000899, batch_cost=0.4971, reader_cost=0.0001 | ETA 00:22:47 2020-12-17 20:53:21 [INFO] [TRAIN] epoch=57, iter=37260/40000, loss=0.2098, lr=0.000896, batch_cost=0.5007, reader_cost=0.0001 | ETA 00:22:52 2020-12-17 20:53:26 [INFO] [TRAIN] epoch=57, iter=37270/40000, loss=0.1623, lr=0.000893, batch_cost=0.4979, reader_cost=0.0001 | ETA 00:22:39 2020-12-17 20:53:31 [INFO] [TRAIN] epoch=57, iter=37280/40000, loss=0.2048, lr=0.000890, batch_cost=0.5058, reader_cost=0.0001 | ETA 00:22:55 2020-12-17 20:53:36 [INFO] [TRAIN] epoch=57, iter=37290/40000, loss=0.2376, lr=0.000887, batch_cost=0.5073, reader_cost=0.0001 | ETA 00:22:54 2020-12-17 20:53:41 [INFO] [TRAIN] epoch=57, iter=37300/40000, loss=0.2084, lr=0.000884, batch_cost=0.4966, reader_cost=0.0001 | ETA 00:22:20 2020-12-17 20:53:46 [INFO] [TRAIN] epoch=57, iter=37310/40000, loss=0.1457, lr=0.000881, batch_cost=0.4969, reader_cost=0.0001 | ETA 00:22:16 2020-12-17 20:53:51 [INFO] [TRAIN] epoch=57, iter=37320/40000, loss=0.1833, lr=0.000878, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:22:30 2020-12-17 20:53:56 [INFO] [TRAIN] epoch=57, iter=37330/40000, loss=0.2108, lr=0.000875, batch_cost=0.4911, reader_cost=0.0001 | ETA 00:21:51 2020-12-17 20:54:01 [INFO] [TRAIN] epoch=57, iter=37340/40000, loss=0.1890, lr=0.000872, batch_cost=0.5007, reader_cost=0.0001 | ETA 00:22:11 2020-12-17 20:54:06 [INFO] [TRAIN] epoch=57, iter=37350/40000, loss=0.1962, lr=0.000869, batch_cost=0.4932, reader_cost=0.0001 | ETA 00:21:47 2020-12-17 20:54:11 [INFO] [TRAIN] epoch=57, iter=37360/40000, loss=0.1701, lr=0.000866, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:21:57 2020-12-17 20:54:16 [INFO] [TRAIN] epoch=57, iter=37370/40000, loss=0.1679, lr=0.000863, batch_cost=0.5001, reader_cost=0.0001 | ETA 00:21:55 2020-12-17 20:54:21 [INFO] [TRAIN] epoch=57, iter=37380/40000, loss=0.1953, lr=0.000861, batch_cost=0.5130, reader_cost=0.0001 | ETA 00:22:23 2020-12-17 20:54:26 [INFO] [TRAIN] epoch=57, iter=37390/40000, loss=0.2352, lr=0.000858, batch_cost=0.5144, reader_cost=0.0001 | ETA 00:22:22 2020-12-17 20:54:31 [INFO] [TRAIN] epoch=57, iter=37400/40000, loss=0.2400, lr=0.000855, batch_cost=0.5123, reader_cost=0.0001 | ETA 00:22:12 2020-12-17 20:54:36 [INFO] [TRAIN] epoch=57, iter=37410/40000, loss=0.1875, lr=0.000852, batch_cost=0.5050, reader_cost=0.0001 | ETA 00:21:47 2020-12-17 20:54:41 [INFO] [TRAIN] epoch=57, iter=37420/40000, loss=0.2198, lr=0.000849, batch_cost=0.5070, reader_cost=0.0001 | ETA 00:21:48 2020-12-17 20:54:46 [INFO] [TRAIN] epoch=57, iter=37430/40000, loss=0.1878, lr=0.000846, batch_cost=0.5012, reader_cost=0.0001 | ETA 00:21:28 2020-12-17 20:54:51 [INFO] [TRAIN] epoch=57, iter=37440/40000, loss=0.1947, lr=0.000843, batch_cost=0.5050, reader_cost=0.0001 | ETA 00:21:32 2020-12-17 20:54:57 [INFO] [TRAIN] epoch=57, iter=37450/40000, loss=0.2163, lr=0.000840, batch_cost=0.5135, reader_cost=0.0001 | ETA 00:21:49 2020-12-17 20:55:02 [INFO] [TRAIN] epoch=57, iter=37460/40000, loss=0.1829, lr=0.000837, batch_cost=0.5048, reader_cost=0.0001 | ETA 00:21:22 2020-12-17 20:55:07 [INFO] [TRAIN] epoch=57, iter=37470/40000, loss=0.2201, lr=0.000834, batch_cost=0.4986, reader_cost=0.0001 | ETA 00:21:01 2020-12-17 20:55:12 [INFO] [TRAIN] epoch=57, iter=37480/40000, loss=0.2991, lr=0.000831, batch_cost=0.5028, reader_cost=0.0001 | ETA 00:21:07 2020-12-17 20:55:17 [INFO] [TRAIN] epoch=57, iter=37490/40000, loss=0.2622, lr=0.000828, batch_cost=0.4942, reader_cost=0.0001 | ETA 00:20:40 2020-12-17 20:55:22 [INFO] [TRAIN] epoch=57, iter=37500/40000, loss=0.1775, lr=0.000825, batch_cost=0.4979, reader_cost=0.0001 | ETA 00:20:44 2020-12-17 20:55:26 [INFO] [TRAIN] epoch=57, iter=37510/40000, loss=0.1928, lr=0.000822, batch_cost=0.4929, reader_cost=0.0001 | ETA 00:20:27 2020-12-17 20:55:31 [INFO] [TRAIN] epoch=57, iter=37520/40000, loss=0.1857, lr=0.000819, batch_cost=0.4974, reader_cost=0.0001 | ETA 00:20:33 2020-12-17 20:55:36 [INFO] [TRAIN] epoch=57, iter=37530/40000, loss=0.2412, lr=0.000816, batch_cost=0.5014, reader_cost=0.0001 | ETA 00:20:38 2020-12-17 20:55:41 [INFO] [TRAIN] epoch=57, iter=37540/40000, loss=0.1969, lr=0.000813, batch_cost=0.5019, reader_cost=0.0001 | ETA 00:20:34 2020-12-17 20:55:47 [INFO] [TRAIN] epoch=57, iter=37550/40000, loss=0.2062, lr=0.000810, batch_cost=0.5201, reader_cost=0.0001 | ETA 00:21:14 2020-12-17 20:55:52 [INFO] [TRAIN] epoch=57, iter=37560/40000, loss=0.1930, lr=0.000807, batch_cost=0.5156, reader_cost=0.0001 | ETA 00:20:58 2020-12-17 20:55:57 [INFO] [TRAIN] epoch=57, iter=37570/40000, loss=0.1819, lr=0.000804, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:20:10 2020-12-17 20:56:02 [INFO] [TRAIN] epoch=57, iter=37580/40000, loss=0.1546, lr=0.000801, batch_cost=0.4972, reader_cost=0.0001 | ETA 00:20:03 2020-12-17 20:56:07 [INFO] [TRAIN] epoch=57, iter=37590/40000, loss=0.1858, lr=0.000798, batch_cost=0.4890, reader_cost=0.0001 | ETA 00:19:38 2020-12-17 20:56:12 [INFO] [TRAIN] epoch=57, iter=37600/40000, loss=0.2124, lr=0.000795, batch_cost=0.4898, reader_cost=0.0001 | ETA 00:19:35 2020-12-17 20:56:17 [INFO] [TRAIN] epoch=57, iter=37610/40000, loss=0.2101, lr=0.000792, batch_cost=0.5098, reader_cost=0.0001 | ETA 00:20:18 2020-12-17 20:56:22 [INFO] [TRAIN] epoch=57, iter=37620/40000, loss=0.2175, lr=0.000789, batch_cost=0.5100, reader_cost=0.0001 | ETA 00:20:13 2020-12-17 20:56:27 [INFO] [TRAIN] epoch=57, iter=37630/40000, loss=0.2193, lr=0.000786, batch_cost=0.5082, reader_cost=0.0001 | ETA 00:20:04 2020-12-17 20:56:32 [INFO] [TRAIN] epoch=57, iter=37640/40000, loss=0.2194, lr=0.000783, batch_cost=0.4935, reader_cost=0.0001 | ETA 00:19:24 2020-12-17 20:56:37 [INFO] [TRAIN] epoch=57, iter=37650/40000, loss=0.1935, lr=0.000780, batch_cost=0.5063, reader_cost=0.0001 | ETA 00:19:49 2020-12-17 20:56:42 [INFO] [TRAIN] epoch=57, iter=37660/40000, loss=0.2333, lr=0.000777, batch_cost=0.5037, reader_cost=0.0001 | ETA 00:19:38 2020-12-17 20:56:47 [INFO] [TRAIN] epoch=57, iter=37670/40000, loss=0.2435, lr=0.000774, batch_cost=0.4979, reader_cost=0.0001 | ETA 00:19:20 2020-12-17 20:56:52 [INFO] [TRAIN] epoch=58, iter=37680/40000, loss=0.1728, lr=0.000771, batch_cost=0.4979, reader_cost=0.0338 | ETA 00:19:15 2020-12-17 20:56:57 [INFO] [TRAIN] epoch=58, iter=37690/40000, loss=0.3280, lr=0.000768, batch_cost=0.4864, reader_cost=0.0001 | ETA 00:18:43 2020-12-17 20:57:02 [INFO] [TRAIN] epoch=58, iter=37700/40000, loss=0.2462, lr=0.000765, batch_cost=0.5049, reader_cost=0.0001 | ETA 00:19:21 2020-12-17 20:57:07 [INFO] [TRAIN] epoch=58, iter=37710/40000, loss=0.2388, lr=0.000762, batch_cost=0.5262, reader_cost=0.0001 | ETA 00:20:04 2020-12-17 20:57:12 [INFO] [TRAIN] epoch=58, iter=37720/40000, loss=0.1885, lr=0.000759, batch_cost=0.5055, reader_cost=0.0001 | ETA 00:19:12 2020-12-17 20:57:17 [INFO] [TRAIN] epoch=58, iter=37730/40000, loss=0.1939, lr=0.000756, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:18:53 2020-12-17 20:57:22 [INFO] [TRAIN] epoch=58, iter=37740/40000, loss=0.2109, lr=0.000753, batch_cost=0.5033, reader_cost=0.0001 | ETA 00:18:57 2020-12-17 20:57:27 [INFO] [TRAIN] epoch=58, iter=37750/40000, loss=0.2154, lr=0.000750, batch_cost=0.4974, reader_cost=0.0001 | ETA 00:18:39 2020-12-17 20:57:32 [INFO] [TRAIN] epoch=58, iter=37760/40000, loss=0.1646, lr=0.000747, batch_cost=0.5085, reader_cost=0.0001 | ETA 00:18:59 2020-12-17 20:57:37 [INFO] [TRAIN] epoch=58, iter=37770/40000, loss=0.1883, lr=0.000744, batch_cost=0.5040, reader_cost=0.0001 | ETA 00:18:43 2020-12-17 20:57:42 [INFO] [TRAIN] epoch=58, iter=37780/40000, loss=0.2400, lr=0.000741, batch_cost=0.4981, reader_cost=0.0001 | ETA 00:18:25 2020-12-17 20:57:47 [INFO] [TRAIN] epoch=58, iter=37790/40000, loss=0.2752, lr=0.000738, batch_cost=0.4971, reader_cost=0.0001 | ETA 00:18:18 2020-12-17 20:57:52 [INFO] [TRAIN] epoch=58, iter=37800/40000, loss=0.1617, lr=0.000735, batch_cost=0.4931, reader_cost=0.0001 | ETA 00:18:04 2020-12-17 20:57:57 [INFO] [TRAIN] epoch=58, iter=37810/40000, loss=0.1842, lr=0.000732, batch_cost=0.5004, reader_cost=0.0001 | ETA 00:18:15 2020-12-17 20:58:02 [INFO] [TRAIN] epoch=58, iter=37820/40000, loss=0.2186, lr=0.000729, batch_cost=0.5106, reader_cost=0.0001 | ETA 00:18:33 2020-12-17 20:58:07 [INFO] [TRAIN] epoch=58, iter=37830/40000, loss=0.1578, lr=0.000726, batch_cost=0.4943, reader_cost=0.0001 | ETA 00:17:52 2020-12-17 20:58:12 [INFO] [TRAIN] epoch=58, iter=37840/40000, loss=0.1914, lr=0.000723, batch_cost=0.4978, reader_cost=0.0001 | ETA 00:17:55 2020-12-17 20:58:17 [INFO] [TRAIN] epoch=58, iter=37850/40000, loss=0.1817, lr=0.000720, batch_cost=0.4867, reader_cost=0.0001 | ETA 00:17:26 2020-12-17 20:58:22 [INFO] [TRAIN] epoch=58, iter=37860/40000, loss=0.1457, lr=0.000717, batch_cost=0.4966, reader_cost=0.0001 | ETA 00:17:42 2020-12-17 20:58:27 [INFO] [TRAIN] epoch=58, iter=37870/40000, loss=0.1552, lr=0.000714, batch_cost=0.5041, reader_cost=0.0001 | ETA 00:17:53 2020-12-17 20:58:32 [INFO] [TRAIN] epoch=58, iter=37880/40000, loss=0.1726, lr=0.000711, batch_cost=0.4968, reader_cost=0.0001 | ETA 00:17:33 2020-12-17 20:58:37 [INFO] [TRAIN] epoch=58, iter=37890/40000, loss=0.1651, lr=0.000708, batch_cost=0.4938, reader_cost=0.0001 | ETA 00:17:21 2020-12-17 20:58:42 [INFO] [TRAIN] epoch=58, iter=37900/40000, loss=0.2141, lr=0.000705, batch_cost=0.5040, reader_cost=0.0001 | ETA 00:17:38 2020-12-17 20:58:47 [INFO] [TRAIN] epoch=58, iter=37910/40000, loss=0.1986, lr=0.000702, batch_cost=0.5095, reader_cost=0.0001 | ETA 00:17:44 2020-12-17 20:58:52 [INFO] [TRAIN] epoch=58, iter=37920/40000, loss=0.1805, lr=0.000699, batch_cost=0.5029, reader_cost=0.0001 | ETA 00:17:26 2020-12-17 20:58:57 [INFO] [TRAIN] epoch=58, iter=37930/40000, loss=0.1804, lr=0.000696, batch_cost=0.5097, reader_cost=0.0001 | ETA 00:17:35 2020-12-17 20:59:02 [INFO] [TRAIN] epoch=58, iter=37940/40000, loss=0.1956, lr=0.000693, batch_cost=0.5063, reader_cost=0.0001 | ETA 00:17:22 2020-12-17 20:59:07 [INFO] [TRAIN] epoch=58, iter=37950/40000, loss=0.1782, lr=0.000690, batch_cost=0.5031, reader_cost=0.0001 | ETA 00:17:11 2020-12-17 20:59:12 [INFO] [TRAIN] epoch=58, iter=37960/40000, loss=0.2021, lr=0.000687, batch_cost=0.5011, reader_cost=0.0001 | ETA 00:17:02 2020-12-17 20:59:17 [INFO] [TRAIN] epoch=58, iter=37970/40000, loss=0.1607, lr=0.000684, batch_cost=0.4944, reader_cost=0.0001 | ETA 00:16:43 2020-12-17 20:59:22 [INFO] [TRAIN] epoch=58, iter=37980/40000, loss=0.1752, lr=0.000681, batch_cost=0.4958, reader_cost=0.0001 | ETA 00:16:41 2020-12-17 20:59:27 [INFO] [TRAIN] epoch=58, iter=37990/40000, loss=0.1949, lr=0.000678, batch_cost=0.4973, reader_cost=0.0001 | ETA 00:16:39 2020-12-17 20:59:32 [INFO] [TRAIN] epoch=58, iter=38000/40000, loss=0.1942, lr=0.000675, batch_cost=0.4965, reader_cost=0.0001 | ETA 00:16:33 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:59:32 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 20:59:53 [INFO] [EVAL] #Images=1449 mIoU=0.7969 Acc=0.9547 Kappa=0.8993 2020-12-17 20:59:53 [INFO] [EVAL] Class IoU: [0.9481 0.9052 0.4369 0.9045 0.6934 0.8479 0.9547 0.8966 0.948 0.4371 0.8959 0.6213 0.9118 0.9084 0.874 0.8743 0.6414 0.8693 0.4677 0.9016 0.7962] 2020-12-17 20:59:53 [INFO] [EVAL] Class Acc: [0.9669 0.9518 0.4547 0.9506 0.8115 0.9095 0.9825 0.9529 0.9739 0.6292 0.9512 0.9372 0.9461 0.9571 0.9408 0.9476 0.8322 0.9445 0.8101 0.9616 0.9513] 2020-12-17 21:00:00 [INFO] [EVAL] The model with the best validation mIoU (0.7969) was saved at iter 38000. 2020-12-17 21:00:05 [INFO] [TRAIN] epoch=58, iter=38010/40000, loss=0.2168, lr=0.000672, batch_cost=0.4982, reader_cost=0.0001 | ETA 00:16:31 2020-12-17 21:00:10 [INFO] [TRAIN] epoch=58, iter=38020/40000, loss=0.2262, lr=0.000669, batch_cost=0.5126, reader_cost=0.0001 | ETA 00:16:54 2020-12-17 21:00:15 [INFO] [TRAIN] epoch=58, iter=38030/40000, loss=0.1829, lr=0.000666, batch_cost=0.4994, reader_cost=0.0001 | ETA 00:16:23 2020-12-17 21:00:20 [INFO] [TRAIN] epoch=58, iter=38040/40000, loss=0.1458, lr=0.000663, batch_cost=0.4964, reader_cost=0.0001 | ETA 00:16:12 2020-12-17 21:00:25 [INFO] [TRAIN] epoch=58, iter=38050/40000, loss=0.2069, lr=0.000660, batch_cost=0.5059, reader_cost=0.0001 | ETA 00:16:26 2020-12-17 21:00:30 [INFO] [TRAIN] epoch=58, iter=38060/40000, loss=0.2031, lr=0.000657, batch_cost=0.4961, reader_cost=0.0001 | ETA 00:16:02 2020-12-17 21:00:35 [INFO] [TRAIN] epoch=58, iter=38070/40000, loss=0.1981, lr=0.000654, batch_cost=0.5064, reader_cost=0.0001 | ETA 00:16:17 2020-12-17 21:00:40 [INFO] [TRAIN] epoch=58, iter=38080/40000, loss=0.2103, lr=0.000651, batch_cost=0.4997, reader_cost=0.0001 | ETA 00:15:59 2020-12-17 21:00:45 [INFO] [TRAIN] epoch=58, iter=38090/40000, loss=0.1697, lr=0.000648, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:15:52 2020-12-17 21:00:50 [INFO] [TRAIN] epoch=58, iter=38100/40000, loss=0.2668, lr=0.000645, batch_cost=0.5039, reader_cost=0.0001 | ETA 00:15:57 2020-12-17 21:00:55 [INFO] [TRAIN] epoch=58, iter=38110/40000, loss=0.2112, lr=0.000641, batch_cost=0.5078, reader_cost=0.0001 | ETA 00:15:59 2020-12-17 21:01:00 [INFO] [TRAIN] epoch=58, iter=38120/40000, loss=0.2192, lr=0.000638, batch_cost=0.4897, reader_cost=0.0001 | ETA 00:15:20 2020-12-17 21:01:05 [INFO] [TRAIN] epoch=58, iter=38130/40000, loss=0.1618, lr=0.000635, batch_cost=0.5114, reader_cost=0.0001 | ETA 00:15:56 2020-12-17 21:01:10 [INFO] [TRAIN] epoch=58, iter=38140/40000, loss=0.1832, lr=0.000632, batch_cost=0.5023, reader_cost=0.0001 | ETA 00:15:34 2020-12-17 21:01:15 [INFO] [TRAIN] epoch=58, iter=38150/40000, loss=0.2018, lr=0.000629, batch_cost=0.4969, reader_cost=0.0001 | ETA 00:15:19 2020-12-17 21:01:20 [INFO] [TRAIN] epoch=58, iter=38160/40000, loss=0.2011, lr=0.000626, batch_cost=0.5064, reader_cost=0.0001 | ETA 00:15:31 2020-12-17 21:01:25 [INFO] [TRAIN] epoch=58, iter=38170/40000, loss=0.2201, lr=0.000623, batch_cost=0.4959, reader_cost=0.0001 | ETA 00:15:07 2020-12-17 21:01:30 [INFO] [TRAIN] epoch=58, iter=38180/40000, loss=0.1716, lr=0.000620, batch_cost=0.4936, reader_cost=0.0001 | ETA 00:14:58 2020-12-17 21:01:35 [INFO] [TRAIN] epoch=58, iter=38190/40000, loss=0.2047, lr=0.000617, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:15:04 2020-12-17 21:01:40 [INFO] [TRAIN] epoch=58, iter=38200/40000, loss=0.1695, lr=0.000614, batch_cost=0.5095, reader_cost=0.0001 | ETA 00:15:17 2020-12-17 21:01:45 [INFO] [TRAIN] epoch=58, iter=38210/40000, loss=0.1966, lr=0.000611, batch_cost=0.5042, reader_cost=0.0001 | ETA 00:15:02 2020-12-17 21:01:50 [INFO] [TRAIN] epoch=58, iter=38220/40000, loss=0.2360, lr=0.000608, batch_cost=0.5009, reader_cost=0.0001 | ETA 00:14:51 2020-12-17 21:01:55 [INFO] [TRAIN] epoch=58, iter=38230/40000, loss=0.2137, lr=0.000605, batch_cost=0.5067, reader_cost=0.0001 | ETA 00:14:56 2020-12-17 21:02:00 [INFO] [TRAIN] epoch=58, iter=38240/40000, loss=0.1722, lr=0.000602, batch_cost=0.5015, reader_cost=0.0001 | ETA 00:14:42 2020-12-17 21:02:05 [INFO] [TRAIN] epoch=58, iter=38250/40000, loss=0.1979, lr=0.000599, batch_cost=0.5036, reader_cost=0.0001 | ETA 00:14:41 2020-12-17 21:02:10 [INFO] [TRAIN] epoch=58, iter=38260/40000, loss=0.1647, lr=0.000595, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:14:28 2020-12-17 21:02:15 [INFO] [TRAIN] epoch=58, iter=38270/40000, loss=0.1907, lr=0.000592, batch_cost=0.4972, reader_cost=0.0001 | ETA 00:14:20 2020-12-17 21:02:20 [INFO] [TRAIN] epoch=58, iter=38280/40000, loss=0.2330, lr=0.000589, batch_cost=0.5043, reader_cost=0.0001 | ETA 00:14:27 2020-12-17 21:02:25 [INFO] [TRAIN] epoch=58, iter=38290/40000, loss=0.1555, lr=0.000586, batch_cost=0.5092, reader_cost=0.0001 | ETA 00:14:30 2020-12-17 21:02:30 [INFO] [TRAIN] epoch=58, iter=38300/40000, loss=0.1714, lr=0.000583, batch_cost=0.5026, reader_cost=0.0001 | ETA 00:14:14 2020-12-17 21:02:35 [INFO] [TRAIN] epoch=58, iter=38310/40000, loss=0.1952, lr=0.000580, batch_cost=0.4929, reader_cost=0.0001 | ETA 00:13:53 2020-12-17 21:02:40 [INFO] [TRAIN] epoch=58, iter=38320/40000, loss=0.2303, lr=0.000577, batch_cost=0.4944, reader_cost=0.0001 | ETA 00:13:50 2020-12-17 21:02:45 [INFO] [TRAIN] epoch=58, iter=38330/40000, loss=0.1840, lr=0.000574, batch_cost=0.4931, reader_cost=0.0001 | ETA 00:13:43 2020-12-17 21:02:50 [INFO] [TRAIN] epoch=59, iter=38340/40000, loss=0.1740, lr=0.000571, batch_cost=0.4840, reader_cost=0.0284 | ETA 00:13:23 2020-12-17 21:02:55 [INFO] [TRAIN] epoch=59, iter=38350/40000, loss=0.1833, lr=0.000568, batch_cost=0.4977, reader_cost=0.0000 | ETA 00:13:41 2020-12-17 21:03:00 [INFO] [TRAIN] epoch=59, iter=38360/40000, loss=0.1656, lr=0.000565, batch_cost=0.5137, reader_cost=0.0001 | ETA 00:14:02 2020-12-17 21:03:05 [INFO] [TRAIN] epoch=59, iter=38370/40000, loss=0.2199, lr=0.000562, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:13:41 2020-12-17 21:03:10 [INFO] [TRAIN] epoch=59, iter=38380/40000, loss=0.1543, lr=0.000558, batch_cost=0.5073, reader_cost=0.0001 | ETA 00:13:41 2020-12-17 21:03:15 [INFO] [TRAIN] epoch=59, iter=38390/40000, loss=0.2168, lr=0.000555, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:13:24 2020-12-17 21:03:20 [INFO] [TRAIN] epoch=59, iter=38400/40000, loss=0.2741, lr=0.000552, batch_cost=0.5066, reader_cost=0.0001 | ETA 00:13:30 2020-12-17 21:03:26 [INFO] [TRAIN] epoch=59, iter=38410/40000, loss=0.1882, lr=0.000549, batch_cost=0.5135, reader_cost=0.0001 | ETA 00:13:36 2020-12-17 21:03:31 [INFO] [TRAIN] epoch=59, iter=38420/40000, loss=0.1812, lr=0.000546, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:13:06 2020-12-17 21:03:36 [INFO] [TRAIN] epoch=59, iter=38430/40000, loss=0.1927, lr=0.000543, batch_cost=0.5125, reader_cost=0.0001 | ETA 00:13:24 2020-12-17 21:03:41 [INFO] [TRAIN] epoch=59, iter=38440/40000, loss=0.1895, lr=0.000540, batch_cost=0.5098, reader_cost=0.0001 | ETA 00:13:15 2020-12-17 21:03:46 [INFO] [TRAIN] epoch=59, iter=38450/40000, loss=0.1719, lr=0.000537, batch_cost=0.5147, reader_cost=0.0001 | ETA 00:13:17 2020-12-17 21:03:51 [INFO] [TRAIN] epoch=59, iter=38460/40000, loss=0.1468, lr=0.000534, batch_cost=0.5065, reader_cost=0.0001 | ETA 00:12:59 2020-12-17 21:03:56 [INFO] [TRAIN] epoch=59, iter=38470/40000, loss=0.1834, lr=0.000530, batch_cost=0.5035, reader_cost=0.0001 | ETA 00:12:50 2020-12-17 21:04:01 [INFO] [TRAIN] epoch=59, iter=38480/40000, loss=0.1948, lr=0.000527, batch_cost=0.5164, reader_cost=0.0001 | ETA 00:13:04 2020-12-17 21:04:06 [INFO] [TRAIN] epoch=59, iter=38490/40000, loss=0.1909, lr=0.000524, batch_cost=0.5020, reader_cost=0.0001 | ETA 00:12:38 2020-12-17 21:04:11 [INFO] [TRAIN] epoch=59, iter=38500/40000, loss=0.1954, lr=0.000521, batch_cost=0.4971, reader_cost=0.0001 | ETA 00:12:25 2020-12-17 21:04:16 [INFO] [TRAIN] epoch=59, iter=38510/40000, loss=0.2372, lr=0.000518, batch_cost=0.5060, reader_cost=0.0001 | ETA 00:12:33 2020-12-17 21:04:21 [INFO] [TRAIN] epoch=59, iter=38520/40000, loss=0.2743, lr=0.000515, batch_cost=0.4930, reader_cost=0.0001 | ETA 00:12:09 2020-12-17 21:04:26 [INFO] [TRAIN] epoch=59, iter=38530/40000, loss=0.1757, lr=0.000512, batch_cost=0.5038, reader_cost=0.0001 | ETA 00:12:20 2020-12-17 21:04:31 [INFO] [TRAIN] epoch=59, iter=38540/40000, loss=0.1569, lr=0.000509, batch_cost=0.4897, reader_cost=0.0001 | ETA 00:11:54 2020-12-17 21:04:36 [INFO] [TRAIN] epoch=59, iter=38550/40000, loss=0.1960, lr=0.000505, batch_cost=0.5040, reader_cost=0.0001 | ETA 00:12:10 2020-12-17 21:04:41 [INFO] [TRAIN] epoch=59, iter=38560/40000, loss=0.1635, lr=0.000502, batch_cost=0.4928, reader_cost=0.0001 | ETA 00:11:49 2020-12-17 21:04:46 [INFO] [TRAIN] epoch=59, iter=38570/40000, loss=0.1765, lr=0.000499, batch_cost=0.5162, reader_cost=0.0001 | ETA 00:12:18 2020-12-17 21:04:51 [INFO] [TRAIN] epoch=59, iter=38580/40000, loss=0.1544, lr=0.000496, batch_cost=0.5142, reader_cost=0.0001 | ETA 00:12:10 2020-12-17 21:04:56 [INFO] [TRAIN] epoch=59, iter=38590/40000, loss=0.1603, lr=0.000493, batch_cost=0.4990, reader_cost=0.0001 | ETA 00:11:43 2020-12-17 21:05:01 [INFO] [TRAIN] epoch=59, iter=38600/40000, loss=0.1639, lr=0.000490, batch_cost=0.5049, reader_cost=0.0001 | ETA 00:11:46 2020-12-17 21:05:06 [INFO] [TRAIN] epoch=59, iter=38610/40000, loss=0.1832, lr=0.000487, batch_cost=0.4946, reader_cost=0.0001 | ETA 00:11:27 2020-12-17 21:05:11 [INFO] [TRAIN] epoch=59, iter=38620/40000, loss=0.1616, lr=0.000483, batch_cost=0.5134, reader_cost=0.0001 | ETA 00:11:48 2020-12-17 21:05:17 [INFO] [TRAIN] epoch=59, iter=38630/40000, loss=0.2271, lr=0.000480, batch_cost=0.5034, reader_cost=0.0001 | ETA 00:11:29 2020-12-17 21:05:22 [INFO] [TRAIN] epoch=59, iter=38640/40000, loss=0.1718, lr=0.000477, batch_cost=0.5018, reader_cost=0.0001 | ETA 00:11:22 2020-12-17 21:05:26 [INFO] [TRAIN] epoch=59, iter=38650/40000, loss=0.1898, lr=0.000474, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:11:06 2020-12-17 21:05:31 [INFO] [TRAIN] epoch=59, iter=38660/40000, loss=0.1710, lr=0.000471, batch_cost=0.4973, reader_cost=0.0001 | ETA 00:11:06 2020-12-17 21:05:36 [INFO] [TRAIN] epoch=59, iter=38670/40000, loss=0.1834, lr=0.000468, batch_cost=0.5013, reader_cost=0.0001 | ETA 00:11:06 2020-12-17 21:05:41 [INFO] [TRAIN] epoch=59, iter=38680/40000, loss=0.1987, lr=0.000464, batch_cost=0.4938, reader_cost=0.0001 | ETA 00:10:51 2020-12-17 21:05:46 [INFO] [TRAIN] epoch=59, iter=38690/40000, loss=0.1930, lr=0.000461, batch_cost=0.4860, reader_cost=0.0001 | ETA 00:10:36 2020-12-17 21:05:51 [INFO] [TRAIN] epoch=59, iter=38700/40000, loss=0.2155, lr=0.000458, batch_cost=0.4920, reader_cost=0.0001 | ETA 00:10:39 2020-12-17 21:05:56 [INFO] [TRAIN] epoch=59, iter=38710/40000, loss=0.2467, lr=0.000455, batch_cost=0.5025, reader_cost=0.0001 | ETA 00:10:48 2020-12-17 21:06:01 [INFO] [TRAIN] epoch=59, iter=38720/40000, loss=0.2052, lr=0.000452, batch_cost=0.4950, reader_cost=0.0001 | ETA 00:10:33 2020-12-17 21:06:06 [INFO] [TRAIN] epoch=59, iter=38730/40000, loss=0.2201, lr=0.000449, batch_cost=0.4960, reader_cost=0.0001 | ETA 00:10:29 2020-12-17 21:06:11 [INFO] [TRAIN] epoch=59, iter=38740/40000, loss=0.1897, lr=0.000445, batch_cost=0.4983, reader_cost=0.0001 | ETA 00:10:27 2020-12-17 21:06:16 [INFO] [TRAIN] epoch=59, iter=38750/40000, loss=0.2170, lr=0.000442, batch_cost=0.4980, reader_cost=0.0001 | ETA 00:10:22 2020-12-17 21:06:21 [INFO] [TRAIN] epoch=59, iter=38760/40000, loss=0.1903, lr=0.000439, batch_cost=0.5119, reader_cost=0.0001 | ETA 00:10:34 2020-12-17 21:06:26 [INFO] [TRAIN] epoch=59, iter=38770/40000, loss=0.1987, lr=0.000436, batch_cost=0.4853, reader_cost=0.0001 | ETA 00:09:56 2020-12-17 21:06:31 [INFO] [TRAIN] epoch=59, iter=38780/40000, loss=0.1706, lr=0.000433, batch_cost=0.5040, reader_cost=0.0001 | ETA 00:10:14 2020-12-17 21:06:36 [INFO] [TRAIN] epoch=59, iter=38790/40000, loss=0.2363, lr=0.000430, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:10:04 2020-12-17 21:06:41 [INFO] [TRAIN] epoch=59, iter=38800/40000, loss=0.2123, lr=0.000426, batch_cost=0.5054, reader_cost=0.0001 | ETA 00:10:06 2020-12-17 21:06:46 [INFO] [TRAIN] epoch=59, iter=38810/40000, loss=0.2070, lr=0.000423, batch_cost=0.5087, reader_cost=0.0001 | ETA 00:10:05 2020-12-17 21:06:51 [INFO] [TRAIN] epoch=59, iter=38820/40000, loss=0.1669, lr=0.000420, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:09:49 2020-12-17 21:06:56 [INFO] [TRAIN] epoch=59, iter=38830/40000, loss=0.2134, lr=0.000417, batch_cost=0.4938, reader_cost=0.0001 | ETA 00:09:37 2020-12-17 21:07:01 [INFO] [TRAIN] epoch=59, iter=38840/40000, loss=0.1572, lr=0.000414, batch_cost=0.4937, reader_cost=0.0001 | ETA 00:09:32 2020-12-17 21:07:06 [INFO] [TRAIN] epoch=59, iter=38850/40000, loss=0.1767, lr=0.000410, batch_cost=0.5120, reader_cost=0.0001 | ETA 00:09:48 2020-12-17 21:07:11 [INFO] [TRAIN] epoch=59, iter=38860/40000, loss=0.2315, lr=0.000407, batch_cost=0.5006, reader_cost=0.0001 | ETA 00:09:30 2020-12-17 21:07:16 [INFO] [TRAIN] epoch=59, iter=38870/40000, loss=0.1692, lr=0.000404, batch_cost=0.4955, reader_cost=0.0001 | ETA 00:09:19 2020-12-17 21:07:21 [INFO] [TRAIN] epoch=59, iter=38880/40000, loss=0.2095, lr=0.000401, batch_cost=0.4955, reader_cost=0.0001 | ETA 00:09:14 2020-12-17 21:07:26 [INFO] [TRAIN] epoch=59, iter=38890/40000, loss=0.1795, lr=0.000397, batch_cost=0.5095, reader_cost=0.0001 | ETA 00:09:25 2020-12-17 21:07:31 [INFO] [TRAIN] epoch=59, iter=38900/40000, loss=0.1758, lr=0.000394, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:09:09 2020-12-17 21:07:36 [INFO] [TRAIN] epoch=59, iter=38910/40000, loss=0.2142, lr=0.000391, batch_cost=0.4978, reader_cost=0.0000 | ETA 00:09:02 2020-12-17 21:07:41 [INFO] [TRAIN] epoch=59, iter=38920/40000, loss=0.2635, lr=0.000388, batch_cost=0.5076, reader_cost=0.0001 | ETA 00:09:08 2020-12-17 21:07:46 [INFO] [TRAIN] epoch=59, iter=38930/40000, loss=0.2187, lr=0.000385, batch_cost=0.4945, reader_cost=0.0001 | ETA 00:08:49 2020-12-17 21:07:51 [INFO] [TRAIN] epoch=59, iter=38940/40000, loss=0.1637, lr=0.000381, batch_cost=0.4935, reader_cost=0.0001 | ETA 00:08:43 2020-12-17 21:07:56 [INFO] [TRAIN] epoch=59, iter=38950/40000, loss=0.1266, lr=0.000378, batch_cost=0.4920, reader_cost=0.0001 | ETA 00:08:36 2020-12-17 21:08:01 [INFO] [TRAIN] epoch=59, iter=38960/40000, loss=0.1744, lr=0.000375, batch_cost=0.5048, reader_cost=0.0001 | ETA 00:08:45 2020-12-17 21:08:06 [INFO] [TRAIN] epoch=59, iter=38970/40000, loss=0.1924, lr=0.000372, batch_cost=0.5064, reader_cost=0.0001 | ETA 00:08:41 2020-12-17 21:08:11 [INFO] [TRAIN] epoch=59, iter=38980/40000, loss=0.1488, lr=0.000368, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:08:23 2020-12-17 21:08:16 [INFO] [TRAIN] epoch=59, iter=38990/40000, loss=0.2486, lr=0.000365, batch_cost=0.4888, reader_cost=0.0001 | ETA 00:08:13 2020-12-17 21:08:21 [INFO] [TRAIN] epoch=60, iter=39000/40000, loss=0.2075, lr=0.000362, batch_cost=0.4640, reader_cost=0.0287 | ETA 00:07:43 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 21:08:21 [INFO] Start evaluating (total_samples=1449, total_iters=363)... aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 21:08:40 [INFO] [EVAL] #Images=1449 mIoU=0.7905 Acc=0.9536 Kappa=0.8965 2020-12-17 21:08:40 [INFO] [EVAL] Class IoU: [0.9464 0.9051 0.4332 0.9027 0.6983 0.8471 0.9556 0.8977 0.9464 0.4161 0.8894 0.5967 0.9067 0.908 0.8723 0.8734 0.6093 0.849 0.4667 0.8999 0.7813] 2020-12-17 21:08:40 [INFO] [EVAL] Class Acc: [0.9647 0.9491 0.452 0.9462 0.8184 0.9082 0.9812 0.9546 0.9705 0.6634 0.9457 0.9626 0.9423 0.9525 0.9428 0.9469 0.8455 0.9404 0.8081 0.9538 0.9655] 2020-12-17 21:08:45 [INFO] [EVAL] The model with the best validation mIoU (0.7969) was saved at iter 38000. 2020-12-17 21:08:50 [INFO] [TRAIN] epoch=60, iter=39010/40000, loss=0.2525, lr=0.000359, batch_cost=0.4998, reader_cost=0.0001 | ETA 00:08:14 2020-12-17 21:08:54 [INFO] [TRAIN] epoch=60, iter=39020/40000, loss=0.1763, lr=0.000355, batch_cost=0.4816, reader_cost=0.0001 | ETA 00:07:51 2020-12-17 21:08:59 [INFO] [TRAIN] epoch=60, iter=39030/40000, loss=0.2349, lr=0.000352, batch_cost=0.5026, reader_cost=0.0001 | ETA 00:08:07 2020-12-17 21:09:04 [INFO] [TRAIN] epoch=60, iter=39040/40000, loss=0.1353, lr=0.000349, batch_cost=0.5072, reader_cost=0.0001 | ETA 00:08:06 2020-12-17 21:09:09 [INFO] [TRAIN] epoch=60, iter=39050/40000, loss=0.1944, lr=0.000346, batch_cost=0.4835, reader_cost=0.0001 | ETA 00:07:39 2020-12-17 21:09:14 [INFO] [TRAIN] epoch=60, iter=39060/40000, loss=0.2341, lr=0.000342, batch_cost=0.4772, reader_cost=0.0001 | ETA 00:07:28 2020-12-17 21:09:19 [INFO] [TRAIN] epoch=60, iter=39070/40000, loss=0.1955, lr=0.000339, batch_cost=0.4788, reader_cost=0.0001 | ETA 00:07:25 2020-12-17 21:09:24 [INFO] [TRAIN] epoch=60, iter=39080/40000, loss=0.1928, lr=0.000336, batch_cost=0.4758, reader_cost=0.0001 | ETA 00:07:17 2020-12-17 21:09:28 [INFO] [TRAIN] epoch=60, iter=39090/40000, loss=0.2078, lr=0.000332, batch_cost=0.4842, reader_cost=0.0001 | ETA 00:07:20 2020-12-17 21:09:33 [INFO] [TRAIN] epoch=60, iter=39100/40000, loss=0.2348, lr=0.000329, batch_cost=0.4899, reader_cost=0.0001 | ETA 00:07:20 2020-12-17 21:09:38 [INFO] [TRAIN] epoch=60, iter=39110/40000, loss=0.1584, lr=0.000326, batch_cost=0.4953, reader_cost=0.0001 | ETA 00:07:20 2020-12-17 21:09:43 [INFO] [TRAIN] epoch=60, iter=39120/40000, loss=0.2016, lr=0.000323, batch_cost=0.4970, reader_cost=0.0001 | ETA 00:07:17 2020-12-17 21:09:48 [INFO] [TRAIN] epoch=60, iter=39130/40000, loss=0.1805, lr=0.000319, batch_cost=0.4953, reader_cost=0.0001 | ETA 00:07:10 2020-12-17 21:09:53 [INFO] [TRAIN] epoch=60, iter=39140/40000, loss=0.1952, lr=0.000316, batch_cost=0.4950, reader_cost=0.0001 | ETA 00:07:05 2020-12-17 21:09:58 [INFO] [TRAIN] epoch=60, iter=39150/40000, loss=0.1355, lr=0.000313, batch_cost=0.4744, reader_cost=0.0001 | ETA 00:06:43 2020-12-17 21:10:03 [INFO] [TRAIN] epoch=60, iter=39160/40000, loss=0.1823, lr=0.000309, batch_cost=0.4863, reader_cost=0.0001 | ETA 00:06:48 2020-12-17 21:10:08 [INFO] [TRAIN] epoch=60, iter=39170/40000, loss=0.1835, lr=0.000306, batch_cost=0.4873, reader_cost=0.0001 | ETA 00:06:44 2020-12-17 21:10:12 [INFO] [TRAIN] epoch=60, iter=39180/40000, loss=0.1869, lr=0.000303, batch_cost=0.4744, reader_cost=0.0001 | ETA 00:06:28 2020-12-17 21:10:17 [INFO] [TRAIN] epoch=60, iter=39190/40000, loss=0.1846, lr=0.000299, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:06:44 2020-12-17 21:10:23 [INFO] [TRAIN] epoch=60, iter=39200/40000, loss=0.1867, lr=0.000296, batch_cost=0.5087, reader_cost=0.0001 | ETA 00:06:46 2020-12-17 21:10:27 [INFO] [TRAIN] epoch=60, iter=39210/40000, loss=0.2439, lr=0.000293, batch_cost=0.4886, reader_cost=0.0001 | ETA 00:06:25 2020-12-17 21:10:32 [INFO] [TRAIN] epoch=60, iter=39220/40000, loss=0.2208, lr=0.000289, batch_cost=0.4890, reader_cost=0.0001 | ETA 00:06:21 2020-12-17 21:10:37 [INFO] [TRAIN] epoch=60, iter=39230/40000, loss=0.2162, lr=0.000286, batch_cost=0.4989, reader_cost=0.0001 | ETA 00:06:24 2020-12-17 21:10:42 [INFO] [TRAIN] epoch=60, iter=39240/40000, loss=0.1498, lr=0.000283, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:06:19 2020-12-17 21:10:47 [INFO] [TRAIN] epoch=60, iter=39250/40000, loss=0.1813, lr=0.000279, batch_cost=0.4928, reader_cost=0.0001 | ETA 00:06:09 2020-12-17 21:10:52 [INFO] [TRAIN] epoch=60, iter=39260/40000, loss=0.2000, lr=0.000276, batch_cost=0.5057, reader_cost=0.0001 | ETA 00:06:14 2020-12-17 21:10:57 [INFO] [TRAIN] epoch=60, iter=39270/40000, loss=0.1894, lr=0.000273, batch_cost=0.4957, reader_cost=0.0001 | ETA 00:06:01 2020-12-17 21:11:03 [INFO] [TRAIN] epoch=60, iter=39280/40000, loss=0.1757, lr=0.000269, batch_cost=0.5281, reader_cost=0.0001 | ETA 00:06:20 2020-12-17 21:11:08 [INFO] [TRAIN] epoch=60, iter=39290/40000, loss=0.2118, lr=0.000266, batch_cost=0.5093, reader_cost=0.0001 | ETA 00:06:01 2020-12-17 21:11:13 [INFO] [TRAIN] epoch=60, iter=39300/40000, loss=0.2277, lr=0.000263, batch_cost=0.4914, reader_cost=0.0001 | ETA 00:05:44 2020-12-17 21:11:17 [INFO] [TRAIN] epoch=60, iter=39310/40000, loss=0.1855, lr=0.000259, batch_cost=0.4878, reader_cost=0.0001 | ETA 00:05:36 2020-12-17 21:11:22 [INFO] [TRAIN] epoch=60, iter=39320/40000, loss=0.2039, lr=0.000256, batch_cost=0.5052, reader_cost=0.0001 | ETA 00:05:43 2020-12-17 21:11:27 [INFO] [TRAIN] epoch=60, iter=39330/40000, loss=0.1868, lr=0.000252, batch_cost=0.5006, reader_cost=0.0000 | ETA 00:05:35 2020-12-17 21:11:32 [INFO] [TRAIN] epoch=60, iter=39340/40000, loss=0.1655, lr=0.000249, batch_cost=0.4993, reader_cost=0.0001 | ETA 00:05:29 2020-12-17 21:11:37 [INFO] [TRAIN] epoch=60, iter=39350/40000, loss=0.1489, lr=0.000246, batch_cost=0.4948, reader_cost=0.0001 | ETA 00:05:21 2020-12-17 21:11:42 [INFO] [TRAIN] epoch=60, iter=39360/40000, loss=0.2458, lr=0.000242, batch_cost=0.5027, reader_cost=0.0001 | ETA 00:05:21 2020-12-17 21:11:47 [INFO] [TRAIN] epoch=60, iter=39370/40000, loss=0.1873, lr=0.000239, batch_cost=0.4916, reader_cost=0.0001 | ETA 00:05:09 2020-12-17 21:11:52 [INFO] [TRAIN] epoch=60, iter=39380/40000, loss=0.1957, lr=0.000235, batch_cost=0.4919, reader_cost=0.0001 | ETA 00:05:04 2020-12-17 21:11:57 [INFO] [TRAIN] epoch=60, iter=39390/40000, loss=0.1948, lr=0.000232, batch_cost=0.4740, reader_cost=0.0001 | ETA 00:04:49 2020-12-17 21:12:02 [INFO] [TRAIN] epoch=60, iter=39400/40000, loss=0.2132, lr=0.000229, batch_cost=0.4987, reader_cost=0.0001 | ETA 00:04:59 2020-12-17 21:12:07 [INFO] [TRAIN] epoch=60, iter=39410/40000, loss=0.2412, lr=0.000225, batch_cost=0.4918, reader_cost=0.0001 | ETA 00:04:50 2020-12-17 21:12:12 [INFO] [TRAIN] epoch=60, iter=39420/40000, loss=0.2159, lr=0.000222, batch_cost=0.4970, reader_cost=0.0001 | ETA 00:04:48 2020-12-17 21:12:17 [INFO] [TRAIN] epoch=60, iter=39430/40000, loss=0.1768, lr=0.000218, batch_cost=0.4962, reader_cost=0.0001 | ETA 00:04:42 2020-12-17 21:12:22 [INFO] [TRAIN] epoch=60, iter=39440/40000, loss=0.1888, lr=0.000215, batch_cost=0.5029, reader_cost=0.0001 | ETA 00:04:41 2020-12-17 21:12:27 [INFO] [TRAIN] epoch=60, iter=39450/40000, loss=0.1916, lr=0.000211, batch_cost=0.5128, reader_cost=0.0001 | ETA 00:04:42 2020-12-17 21:12:32 [INFO] [TRAIN] epoch=60, iter=39460/40000, loss=0.2020, lr=0.000208, batch_cost=0.5082, reader_cost=0.0001 | ETA 00:04:34 2020-12-17 21:12:37 [INFO] [TRAIN] epoch=60, iter=39470/40000, loss=0.2160, lr=0.000205, batch_cost=0.5025, reader_cost=0.0001 | ETA 00:04:26 2020-12-17 21:12:42 [INFO] [TRAIN] epoch=60, iter=39480/40000, loss=0.1893, lr=0.000201, batch_cost=0.4901, reader_cost=0.0001 | ETA 00:04:14 2020-12-17 21:12:47 [INFO] [TRAIN] epoch=60, iter=39490/40000, loss=0.2288, lr=0.000198, batch_cost=0.5092, reader_cost=0.0001 | ETA 00:04:19 2020-12-17 21:12:52 [INFO] [TRAIN] epoch=60, iter=39500/40000, loss=0.2192, lr=0.000194, batch_cost=0.4844, reader_cost=0.0001 | ETA 00:04:02 2020-12-17 21:12:57 [INFO] [TRAIN] epoch=60, iter=39510/40000, loss=0.1703, lr=0.000191, batch_cost=0.4987, reader_cost=0.0001 | ETA 00:04:04 2020-12-17 21:13:02 [INFO] [TRAIN] epoch=60, iter=39520/40000, loss=0.1996, lr=0.000187, batch_cost=0.4945, reader_cost=0.0001 | ETA 00:03:57 2020-12-17 21:13:07 [INFO] [TRAIN] epoch=60, iter=39530/40000, loss=0.1790, lr=0.000184, batch_cost=0.4961, reader_cost=0.0001 | ETA 00:03:53 2020-12-17 21:13:12 [INFO] [TRAIN] epoch=60, iter=39540/40000, loss=0.1624, lr=0.000180, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:03:47 2020-12-17 21:13:17 [INFO] [TRAIN] epoch=60, iter=39550/40000, loss=0.1573, lr=0.000177, batch_cost=0.4860, reader_cost=0.0001 | ETA 00:03:38 2020-12-17 21:13:22 [INFO] [TRAIN] epoch=60, iter=39560/40000, loss=0.1412, lr=0.000173, batch_cost=0.4883, reader_cost=0.0001 | ETA 00:03:34 2020-12-17 21:13:26 [INFO] [TRAIN] epoch=60, iter=39570/40000, loss=0.1682, lr=0.000170, batch_cost=0.4838, reader_cost=0.0001 | ETA 00:03:28 2020-12-17 21:13:31 [INFO] [TRAIN] epoch=60, iter=39580/40000, loss=0.2852, lr=0.000166, batch_cost=0.5022, reader_cost=0.0001 | ETA 00:03:30 2020-12-17 21:13:36 [INFO] [TRAIN] epoch=60, iter=39590/40000, loss=0.2104, lr=0.000162, batch_cost=0.5083, reader_cost=0.0001 | ETA 00:03:28 2020-12-17 21:13:41 [INFO] [TRAIN] epoch=60, iter=39600/40000, loss=0.1668, lr=0.000159, batch_cost=0.5028, reader_cost=0.0001 | ETA 00:03:21 2020-12-17 21:13:46 [INFO] [TRAIN] epoch=60, iter=39610/40000, loss=0.1984, lr=0.000155, batch_cost=0.4873, reader_cost=0.0001 | ETA 00:03:10 2020-12-17 21:13:51 [INFO] [TRAIN] epoch=60, iter=39620/40000, loss=0.1872, lr=0.000152, batch_cost=0.4957, reader_cost=0.0001 | ETA 00:03:08 2020-12-17 21:13:56 [INFO] [TRAIN] epoch=60, iter=39630/40000, loss=0.1809, lr=0.000148, batch_cost=0.5026, reader_cost=0.0001 | ETA 00:03:05 2020-12-17 21:14:02 [INFO] [TRAIN] epoch=60, iter=39640/40000, loss=0.1914, lr=0.000145, batch_cost=0.5209, reader_cost=0.0001 | ETA 00:03:07 2020-12-17 21:14:06 [INFO] [TRAIN] epoch=60, iter=39650/40000, loss=0.1619, lr=0.000141, batch_cost=0.4937, reader_cost=0.0001 | ETA 00:02:52 2020-12-17 21:14:11 [INFO] [TRAIN] epoch=60, iter=39660/40000, loss=0.1466, lr=0.000137, batch_cost=0.4511, reader_cost=0.0001 | ETA 00:02:33 2020-12-17 21:14:16 [INFO] [TRAIN] epoch=61, iter=39670/40000, loss=0.1736, lr=0.000134, batch_cost=0.5242, reader_cost=0.0271 | ETA 00:02:52 2020-12-17 21:14:21 [INFO] [TRAIN] epoch=61, iter=39680/40000, loss=0.1985, lr=0.000130, batch_cost=0.4982, reader_cost=0.0001 | ETA 00:02:39 2020-12-17 21:14:26 [INFO] [TRAIN] epoch=61, iter=39690/40000, loss=0.2180, lr=0.000126, batch_cost=0.5139, reader_cost=0.0001 | ETA 00:02:39 2020-12-17 21:14:31 [INFO] [TRAIN] epoch=61, iter=39700/40000, loss=0.1417, lr=0.000123, batch_cost=0.5073, reader_cost=0.0001 | ETA 00:02:32 2020-12-17 21:14:37 [INFO] [TRAIN] epoch=61, iter=39710/40000, loss=0.1912, lr=0.000119, batch_cost=0.5092, reader_cost=0.0001 | ETA 00:02:27 2020-12-17 21:14:42 [INFO] [TRAIN] epoch=61, iter=39720/40000, loss=0.1688, lr=0.000115, batch_cost=0.5066, reader_cost=0.0001 | ETA 00:02:21 2020-12-17 21:14:47 [INFO] [TRAIN] epoch=61, iter=39730/40000, loss=0.1627, lr=0.000112, batch_cost=0.4941, reader_cost=0.0006 | ETA 00:02:13 2020-12-17 21:14:52 [INFO] [TRAIN] epoch=61, iter=39740/40000, loss=0.2108, lr=0.000108, batch_cost=0.5098, reader_cost=0.0001 | ETA 00:02:12 2020-12-17 21:14:57 [INFO] [TRAIN] epoch=61, iter=39750/40000, loss=0.2042, lr=0.000104, batch_cost=0.4959, reader_cost=0.0001 | ETA 00:02:03 2020-12-17 21:15:02 [INFO] [TRAIN] epoch=61, iter=39760/40000, loss=0.2068, lr=0.000100, batch_cost=0.4946, reader_cost=0.0001 | ETA 00:01:58 2020-12-17 21:15:06 [INFO] [TRAIN] epoch=61, iter=39770/40000, loss=0.1715, lr=0.000097, batch_cost=0.4925, reader_cost=0.0001 | ETA 00:01:53 2020-12-17 21:15:12 [INFO] [TRAIN] epoch=61, iter=39780/40000, loss=0.1849, lr=0.000093, batch_cost=0.5029, reader_cost=0.0001 | ETA 00:01:50 2020-12-17 21:15:17 [INFO] [TRAIN] epoch=61, iter=39790/40000, loss=0.1582, lr=0.000089, batch_cost=0.5022, reader_cost=0.0001 | ETA 00:01:45 2020-12-17 21:15:22 [INFO] [TRAIN] epoch=61, iter=39800/40000, loss=0.1950, lr=0.000085, batch_cost=0.5044, reader_cost=0.0001 | ETA 00:01:40 2020-12-17 21:15:27 [INFO] [TRAIN] epoch=61, iter=39810/40000, loss=0.2334, lr=0.000081, batch_cost=0.5048, reader_cost=0.0001 | ETA 00:01:35 2020-12-17 21:15:32 [INFO] [TRAIN] epoch=61, iter=39820/40000, loss=0.2969, lr=0.000078, batch_cost=0.5090, reader_cost=0.0001 | ETA 00:01:31 2020-12-17 21:15:37 [INFO] [TRAIN] epoch=61, iter=39830/40000, loss=0.2206, lr=0.000074, batch_cost=0.5075, reader_cost=0.0001 | ETA 00:01:26 2020-12-17 21:15:42 [INFO] [TRAIN] epoch=61, iter=39840/40000, loss=0.1840, lr=0.000070, batch_cost=0.5160, reader_cost=0.0001 | ETA 00:01:22 2020-12-17 21:15:47 [INFO] [TRAIN] epoch=61, iter=39850/40000, loss=0.2289, lr=0.000066, batch_cost=0.5058, reader_cost=0.0001 | ETA 00:01:15 2020-12-17 21:15:52 [INFO] [TRAIN] epoch=61, iter=39860/40000, loss=0.1937, lr=0.000062, batch_cost=0.5061, reader_cost=0.0001 | ETA 00:01:10 2020-12-17 21:15:57 [INFO] [TRAIN] epoch=61, iter=39870/40000, loss=0.1916, lr=0.000058, batch_cost=0.4946, reader_cost=0.0000 | ETA 00:01:04 2020-12-17 21:16:02 [INFO] [TRAIN] epoch=61, iter=39880/40000, loss=0.1859, lr=0.000054, batch_cost=0.5010, reader_cost=0.0001 | ETA 00:01:00 2020-12-17 21:16:07 [INFO] [TRAIN] epoch=61, iter=39890/40000, loss=0.1616, lr=0.000050, batch_cost=0.4939, reader_cost=0.0001 | ETA 00:00:54 2020-12-17 21:16:12 [INFO] [TRAIN] epoch=61, iter=39900/40000, loss=0.1877, lr=0.000046, batch_cost=0.4999, reader_cost=0.0001 | ETA 00:00:49 2020-12-17 21:16:17 [INFO] [TRAIN] epoch=61, iter=39910/40000, loss=0.1657, lr=0.000042, batch_cost=0.5048, reader_cost=0.0001 | ETA 00:00:45 2020-12-17 21:16:22 [INFO] [TRAIN] epoch=61, iter=39920/40000, loss=0.1622, lr=0.000038, batch_cost=0.4995, reader_cost=0.0001 | ETA 00:00:39 2020-12-17 21:16:27 [INFO] [TRAIN] epoch=61, iter=39930/40000, loss=0.1843, lr=0.000033, batch_cost=0.4903, reader_cost=0.0001 | ETA 00:00:34 2020-12-17 21:16:32 [INFO] [TRAIN] epoch=61, iter=39940/40000, loss=0.1823, lr=0.000029, batch_cost=0.5149, reader_cost=0.0001 | ETA 00:00:30 2020-12-17 21:16:37 [INFO] [TRAIN] epoch=61, iter=39950/40000, loss=0.1772, lr=0.000025, batch_cost=0.4895, reader_cost=0.0001 | ETA 00:00:24 2020-12-17 21:16:42 [INFO] [TRAIN] epoch=61, iter=39960/40000, loss=0.2293, lr=0.000020, batch_cost=0.5081, reader_cost=0.0001 | ETA 00:00:20 2020-12-17 21:16:47 [INFO] [TRAIN] epoch=61, iter=39970/40000, loss=0.2725, lr=0.000016, batch_cost=0.5017, reader_cost=0.0001 | ETA 00:00:15 2020-12-17 21:16:52 [INFO] [TRAIN] epoch=61, iter=39980/40000, loss=0.2112, lr=0.000011, batch_cost=0.5043, reader_cost=0.0001 | ETA 00:00:10 2020-12-17 21:16:57 [INFO] [TRAIN] epoch=61, iter=39990/40000, loss=0.1698, lr=0.000006, batch_cost=0.5011, reader_cost=0.0000 | ETA 00:00:05 2020-12-17 21:17:02 [INFO] [TRAIN] epoch=61, iter=40000/40000, loss=0.2054, lr=0.000001, batch_cost=0.5139, reader_cost=0.0001 | ETA 00:00:00 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 aug_eval False scales 1.0 2020-12-17 21:17:02 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2020-12-17 21:17:23 [INFO] [EVAL] #Images=1449 mIoU=0.7950 Acc=0.9546 Kappa=0.8989 2020-12-17 21:17:23 [INFO] [EVAL] Class IoU: [0.9477 0.9032 0.435 0.9035 0.7057 0.8452 0.9549 0.8974 0.9477 0.4351 0.8903 0.6019 0.9094 0.908 0.8713 0.8736 0.6232 0.8627 0.4899 0.9036 0.7861] 2020-12-17 21:17:23 [INFO] [EVAL] Class Acc: [0.9663 0.9463 0.4524 0.9472 0.8219 0.912 0.9814 0.9539 0.9728 0.6755 0.9463 0.9461 0.9429 0.9536 0.937 0.9454 0.8402 0.94 0.8037 0.9596 0.9573] 2020-12-17 21:17:27 [INFO] [EVAL] The model with the best validation mIoU (0.7969) 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/isanet/isanet_resnet50_voc_512x512_40k.yml'] use_paddlecloud: False ------------------------------------------------