----------- Configuration Arguments ----------- gpus: None heter_worker_num: None heter_workers: http_port: None ips: 127.0.0.1 log_dir: log nproc_per_node: None server_num: None servers: training_script: train.py training_script_args: ['--do_eval', '--use_vdl', '--config', 'configs/dnlnet/dnlnet_resnet50_os8_voc12aug_512x512_40.yml'] worker_num: None workers: ------------------------------------------------ launch train in GPU mode 2021-01-17 16:40:58 [INFO] ------------Environment Information------------- platform: Linux-3.10.0-1062.18.1.el7.x86_64-x86_64-with-centos-7.7.1908-Core Python: 3.6.12 |Anaconda, Inc.| (default, Sep 8 2020, 23:10:56) [GCC 7.3.0] Paddle compiled with cuda: True NVCC: Cuda compilation tools, release 10.2, V10.2.89 cudnn: 7.6 GPUs used: 4 CUDA_VISIBLE_DEVICES: 0,1,2,3 GPU: ['GPU 0: Tesla V100-SXM2-32GB', 'GPU 1: Tesla V100-SXM2-32GB', 'GPU 2: Tesla V100-SXM2-32GB', 'GPU 3: Tesla V100-SXM2-32GB', 'GPU 4: Tesla V100-SXM2-32GB', 'GPU 5: Tesla V100-SXM2-32GB', 'GPU 6: Tesla V100-SXM2-32GB', 'GPU 7: Tesla V100-SXM2-32GB'] GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39) PaddlePaddle: 2.0.0-rc1 OpenCV: 4.5.1 ------------------------------------------------ 2021-01-17 16:40:59 [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: backbone: output_stride: 8 pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz type: ResNet50_vd type: DNLNet optimizer: momentum: 0.9 type: sgd weight_decay: 4.0e-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 ------------------------------------------------ W0117 16:40:59.180322 55736 device_context.cc:320] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.2, Runtime API Version: 10.2 W0117 16:40:59.180393 55736 device_context.cc:330] device: 0, cuDNN Version: 7.6. 2021-01-17 16:41:02 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz 2021-01-17 16:41:03 [INFO] There are 275/275 variables loaded into ResNet_vd. I0117 16:41:03.809139 55736 nccl_context.cc:179] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0 2021-01-17 16:41:13 [INFO] [TRAIN] epoch=1, iter=10/40000, loss=2.8403, lr=0.009998, batch_cost=0.6084, reader_cost=0.0430 | ETA 06:45:31 2021-01-17 16:41:18 [INFO] [TRAIN] epoch=1, iter=20/40000, loss=1.7660, lr=0.009996, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:57:43 2021-01-17 16:41:23 [INFO] [TRAIN] epoch=1, iter=30/40000, loss=1.5317, lr=0.009993, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:57:40 2021-01-17 16:41:29 [INFO] [TRAIN] epoch=1, iter=40/40000, loss=1.3465, lr=0.009991, batch_cost=0.5355, reader_cost=0.0001 | ETA 05:56:39 2021-01-17 16:41:34 [INFO] [TRAIN] epoch=1, iter=50/40000, loss=1.0682, lr=0.009989, batch_cost=0.5326, reader_cost=0.0001 | ETA 05:54:35 2021-01-17 16:41:40 [INFO] [TRAIN] epoch=1, iter=60/40000, loss=1.3460, lr=0.009987, batch_cost=0.5344, reader_cost=0.0001 | ETA 05:55:42 2021-01-17 16:41:45 [INFO] [TRAIN] epoch=1, iter=70/40000, loss=1.2872, lr=0.009984, batch_cost=0.5347, reader_cost=0.0001 | ETA 05:55:50 2021-01-17 16:41:50 [INFO] [TRAIN] epoch=1, iter=80/40000, loss=1.1893, lr=0.009982, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:58:54 2021-01-17 16:41:56 [INFO] [TRAIN] epoch=1, iter=90/40000, loss=1.2872, lr=0.009980, batch_cost=0.5413, reader_cost=0.0001 | ETA 06:00:04 2021-01-17 16:42:01 [INFO] [TRAIN] epoch=1, iter=100/40000, loss=0.9931, lr=0.009978, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:57:22 2021-01-17 16:42:06 [INFO] [TRAIN] epoch=1, iter=110/40000, loss=0.8923, lr=0.009975, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:59:32 2021-01-17 16:42:12 [INFO] [TRAIN] epoch=1, iter=120/40000, loss=1.1226, lr=0.009973, batch_cost=0.5361, reader_cost=0.0001 | ETA 05:56:20 2021-01-17 16:42:17 [INFO] [TRAIN] epoch=1, iter=130/40000, loss=1.0219, lr=0.009971, batch_cost=0.5420, reader_cost=0.0001 | ETA 06:00:10 2021-01-17 16:42:23 [INFO] [TRAIN] epoch=1, iter=140/40000, loss=1.1479, lr=0.009969, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:57:24 2021-01-17 16:42:28 [INFO] [TRAIN] epoch=1, iter=150/40000, loss=1.0117, lr=0.009966, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:59:22 2021-01-17 16:42:33 [INFO] [TRAIN] epoch=1, iter=160/40000, loss=1.5503, lr=0.009964, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:55:41 2021-01-17 16:42:39 [INFO] [TRAIN] epoch=1, iter=170/40000, loss=0.8444, lr=0.009962, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:56:45 2021-01-17 16:42:44 [INFO] [TRAIN] epoch=1, iter=180/40000, loss=1.2572, lr=0.009960, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:57:49 2021-01-17 16:42:50 [INFO] [TRAIN] epoch=1, iter=190/40000, loss=1.1459, lr=0.009957, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:58:54 2021-01-17 16:42:55 [INFO] [TRAIN] epoch=1, iter=200/40000, loss=0.8660, lr=0.009955, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:57:00 2021-01-17 16:43:00 [INFO] [TRAIN] epoch=1, iter=210/40000, loss=1.0088, lr=0.009953, batch_cost=0.5415, reader_cost=0.0001 | ETA 05:59:05 2021-01-17 16:43:06 [INFO] [TRAIN] epoch=1, iter=220/40000, loss=0.9905, lr=0.009951, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:58:20 2021-01-17 16:43:11 [INFO] [TRAIN] epoch=1, iter=230/40000, loss=0.7456, lr=0.009948, batch_cost=0.5393, reader_cost=0.0001 | ETA 05:57:28 2021-01-17 16:43:17 [INFO] [TRAIN] epoch=1, iter=240/40000, loss=0.8843, lr=0.009946, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:57:19 2021-01-17 16:43:22 [INFO] [TRAIN] epoch=1, iter=250/40000, loss=1.0049, lr=0.009944, batch_cost=0.5404, reader_cost=0.0001 | ETA 05:57:59 2021-01-17 16:43:27 [INFO] [TRAIN] epoch=1, iter=260/40000, loss=0.8479, lr=0.009942, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:56:29 2021-01-17 16:43:33 [INFO] [TRAIN] epoch=1, iter=270/40000, loss=0.8307, lr=0.009939, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:58:13 2021-01-17 16:43:38 [INFO] [TRAIN] epoch=1, iter=280/40000, loss=0.8473, lr=0.009937, batch_cost=0.5378, reader_cost=0.0001 | ETA 05:56:01 2021-01-17 16:43:44 [INFO] [TRAIN] epoch=1, iter=290/40000, loss=1.0069, lr=0.009935, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:56:53 2021-01-17 16:43:49 [INFO] [TRAIN] epoch=1, iter=300/40000, loss=0.6822, lr=0.009933, batch_cost=0.5418, reader_cost=0.0001 | ETA 05:58:28 2021-01-17 16:43:54 [INFO] [TRAIN] epoch=1, iter=310/40000, loss=0.8008, lr=0.009930, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:56:01 2021-01-17 16:44:00 [INFO] [TRAIN] epoch=1, iter=320/40000, loss=1.1994, lr=0.009928, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:56:33 2021-01-17 16:44:05 [INFO] [TRAIN] epoch=1, iter=330/40000, loss=0.9376, lr=0.009926, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:55:17 2021-01-17 16:44:11 [INFO] [TRAIN] epoch=1, iter=340/40000, loss=0.8358, lr=0.009924, batch_cost=0.5457, reader_cost=0.0001 | ETA 06:00:43 2021-01-17 16:44:16 [INFO] [TRAIN] epoch=1, iter=350/40000, loss=0.9037, lr=0.009921, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:56:30 2021-01-17 16:44:21 [INFO] [TRAIN] epoch=1, iter=360/40000, loss=0.7965, lr=0.009919, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:54:53 2021-01-17 16:44:27 [INFO] [TRAIN] epoch=1, iter=370/40000, loss=0.6747, lr=0.009917, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:58:26 2021-01-17 16:44:32 [INFO] [TRAIN] epoch=1, iter=380/40000, loss=0.8830, lr=0.009915, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:54:23 2021-01-17 16:44:37 [INFO] [TRAIN] epoch=1, iter=390/40000, loss=0.8713, lr=0.009912, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:53:51 2021-01-17 16:44:43 [INFO] [TRAIN] epoch=1, iter=400/40000, loss=0.5824, lr=0.009910, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:54:26 2021-01-17 16:44:48 [INFO] [TRAIN] epoch=1, iter=410/40000, loss=1.0115, lr=0.009908, batch_cost=0.5393, reader_cost=0.0001 | ETA 05:55:51 2021-01-17 16:44:54 [INFO] [TRAIN] epoch=1, iter=420/40000, loss=0.8973, lr=0.009906, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:53:19 2021-01-17 16:44:59 [INFO] [TRAIN] epoch=1, iter=430/40000, loss=0.9443, lr=0.009903, batch_cost=0.5351, reader_cost=0.0001 | ETA 05:52:54 2021-01-17 16:45:04 [INFO] [TRAIN] epoch=1, iter=440/40000, loss=0.6881, lr=0.009901, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:53:09 2021-01-17 16:45:10 [INFO] [TRAIN] epoch=1, iter=450/40000, loss=0.7211, lr=0.009899, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:53:46 2021-01-17 16:45:15 [INFO] [TRAIN] epoch=1, iter=460/40000, loss=1.0843, lr=0.009897, batch_cost=0.5425, reader_cost=0.0001 | ETA 05:57:31 2021-01-17 16:45:20 [INFO] [TRAIN] epoch=1, iter=470/40000, loss=0.8119, lr=0.009894, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:53:20 2021-01-17 16:45:26 [INFO] [TRAIN] epoch=1, iter=480/40000, loss=0.9220, lr=0.009892, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:53:29 2021-01-17 16:45:31 [INFO] [TRAIN] epoch=1, iter=490/40000, loss=0.8881, lr=0.009890, batch_cost=0.5433, reader_cost=0.0001 | ETA 05:57:45 2021-01-17 16:45:37 [INFO] [TRAIN] epoch=1, iter=500/40000, loss=0.7285, lr=0.009888, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:54:07 2021-01-17 16:45:42 [INFO] [TRAIN] epoch=1, iter=510/40000, loss=1.0890, lr=0.009885, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:56:47 2021-01-17 16:45:48 [INFO] [TRAIN] epoch=1, iter=520/40000, loss=0.8361, lr=0.009883, batch_cost=0.5445, reader_cost=0.0001 | ETA 05:58:14 2021-01-17 16:45:53 [INFO] [TRAIN] epoch=1, iter=530/40000, loss=0.7196, lr=0.009881, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:55:55 2021-01-17 16:45:58 [INFO] [TRAIN] epoch=1, iter=540/40000, loss=0.8384, lr=0.009879, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:53:21 2021-01-17 16:46:04 [INFO] [TRAIN] epoch=1, iter=550/40000, loss=0.8144, lr=0.009876, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:52:55 2021-01-17 16:46:09 [INFO] [TRAIN] epoch=1, iter=560/40000, loss=0.9256, lr=0.009874, batch_cost=0.5351, reader_cost=0.0001 | ETA 05:51:42 2021-01-17 16:46:14 [INFO] [TRAIN] epoch=1, iter=570/40000, loss=0.8245, lr=0.009872, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:53:49 2021-01-17 16:46:20 [INFO] [TRAIN] epoch=1, iter=580/40000, loss=0.7136, lr=0.009870, batch_cost=0.5430, reader_cost=0.0001 | ETA 05:56:46 2021-01-17 16:46:25 [INFO] [TRAIN] epoch=1, iter=590/40000, loss=0.9787, lr=0.009867, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:54:18 2021-01-17 16:46:31 [INFO] [TRAIN] epoch=1, iter=600/40000, loss=1.3049, lr=0.009865, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:54:38 2021-01-17 16:46:36 [INFO] [TRAIN] epoch=1, iter=610/40000, loss=1.1827, lr=0.009863, batch_cost=0.5344, reader_cost=0.0001 | ETA 05:50:48 2021-01-17 16:46:41 [INFO] [TRAIN] epoch=1, iter=620/40000, loss=1.1447, lr=0.009861, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:52:34 2021-01-17 16:46:47 [INFO] [TRAIN] epoch=1, iter=630/40000, loss=0.6744, lr=0.009858, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:53:45 2021-01-17 16:46:52 [INFO] [TRAIN] epoch=1, iter=640/40000, loss=0.6874, lr=0.009856, batch_cost=0.5344, reader_cost=0.0001 | ETA 05:50:32 2021-01-17 16:46:57 [INFO] [TRAIN] epoch=1, iter=650/40000, loss=0.8392, lr=0.009854, batch_cost=0.5377, reader_cost=0.0001 | ETA 05:52:39 2021-01-17 16:47:03 [INFO] [TRAIN] epoch=1, iter=660/40000, loss=1.0119, lr=0.009852, batch_cost=0.5191, reader_cost=0.0001 | ETA 05:40:19 2021-01-17 16:47:08 [INFO] [TRAIN] epoch=2, iter=670/40000, loss=0.5798, lr=0.009849, batch_cost=0.5515, reader_cost=0.0169 | ETA 06:01:31 2021-01-17 16:47:14 [INFO] [TRAIN] epoch=2, iter=680/40000, loss=0.5530, lr=0.009847, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:52:19 2021-01-17 16:47:19 [INFO] [TRAIN] epoch=2, iter=690/40000, loss=0.7528, lr=0.009845, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:53:14 2021-01-17 16:47:24 [INFO] [TRAIN] epoch=2, iter=700/40000, loss=0.9382, lr=0.009843, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:51:32 2021-01-17 16:47:30 [INFO] [TRAIN] epoch=2, iter=710/40000, loss=0.6965, lr=0.009840, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:51:34 2021-01-17 16:47:35 [INFO] [TRAIN] epoch=2, iter=720/40000, loss=0.8355, lr=0.009838, batch_cost=0.5413, reader_cost=0.0001 | ETA 05:54:22 2021-01-17 16:47:40 [INFO] [TRAIN] epoch=2, iter=730/40000, loss=0.5595, lr=0.009836, batch_cost=0.5366, reader_cost=0.0001 | ETA 05:51:11 2021-01-17 16:47:46 [INFO] [TRAIN] epoch=2, iter=740/40000, loss=0.5943, lr=0.009834, batch_cost=0.5344, reader_cost=0.0001 | ETA 05:49:39 2021-01-17 16:47:51 [INFO] [TRAIN] epoch=2, iter=750/40000, loss=0.7752, lr=0.009831, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:51:05 2021-01-17 16:47:57 [INFO] [TRAIN] epoch=2, iter=760/40000, loss=1.1376, lr=0.009829, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:51:16 2021-01-17 16:48:02 [INFO] [TRAIN] epoch=2, iter=770/40000, loss=0.8765, lr=0.009827, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:51:14 2021-01-17 16:48:07 [INFO] [TRAIN] epoch=2, iter=780/40000, loss=0.5648, lr=0.009825, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:51:03 2021-01-17 16:48:13 [INFO] [TRAIN] epoch=2, iter=790/40000, loss=0.5177, lr=0.009822, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:52:33 2021-01-17 16:48:18 [INFO] [TRAIN] epoch=2, iter=800/40000, loss=0.5779, lr=0.009820, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:51:59 2021-01-17 16:48:23 [INFO] [TRAIN] epoch=2, iter=810/40000, loss=0.6525, lr=0.009818, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:53:12 2021-01-17 16:48:29 [INFO] [TRAIN] epoch=2, iter=820/40000, loss=0.7416, lr=0.009816, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:52:13 2021-01-17 16:48:34 [INFO] [TRAIN] epoch=2, iter=830/40000, loss=0.9271, lr=0.009813, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:51:58 2021-01-17 16:48:40 [INFO] [TRAIN] epoch=2, iter=840/40000, loss=0.5775, lr=0.009811, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:49:38 2021-01-17 16:48:45 [INFO] [TRAIN] epoch=2, iter=850/40000, loss=0.7910, lr=0.009809, batch_cost=0.5436, reader_cost=0.0001 | ETA 05:54:40 2021-01-17 16:48:50 [INFO] [TRAIN] epoch=2, iter=860/40000, loss=0.7260, lr=0.009807, batch_cost=0.5298, reader_cost=0.0001 | ETA 05:45:36 2021-01-17 16:48:56 [INFO] [TRAIN] epoch=2, iter=870/40000, loss=1.1108, lr=0.009804, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:52:52 2021-01-17 16:49:01 [INFO] [TRAIN] epoch=2, iter=880/40000, loss=0.9351, lr=0.009802, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:50:03 2021-01-17 16:49:07 [INFO] [TRAIN] epoch=2, iter=890/40000, loss=0.9466, lr=0.009800, batch_cost=0.5413, reader_cost=0.0001 | ETA 05:52:48 2021-01-17 16:49:12 [INFO] [TRAIN] epoch=2, iter=900/40000, loss=0.7447, lr=0.009797, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:50:42 2021-01-17 16:49:17 [INFO] [TRAIN] epoch=2, iter=910/40000, loss=0.6851, lr=0.009795, batch_cost=0.5453, reader_cost=0.0001 | ETA 05:55:14 2021-01-17 16:49:23 [INFO] [TRAIN] epoch=2, iter=920/40000, loss=0.6502, lr=0.009793, batch_cost=0.5412, reader_cost=0.0001 | ETA 05:52:28 2021-01-17 16:49:28 [INFO] [TRAIN] epoch=2, iter=930/40000, loss=0.5091, lr=0.009791, batch_cost=0.5349, reader_cost=0.0001 | ETA 05:48:18 2021-01-17 16:49:34 [INFO] [TRAIN] epoch=2, iter=940/40000, loss=0.7441, lr=0.009788, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:50:19 2021-01-17 16:49:39 [INFO] [TRAIN] epoch=2, iter=950/40000, loss=0.8183, lr=0.009786, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:48:34 2021-01-17 16:49:44 [INFO] [TRAIN] epoch=2, iter=960/40000, loss=0.7623, lr=0.009784, batch_cost=0.5412, reader_cost=0.0001 | ETA 05:52:08 2021-01-17 16:49:50 [INFO] [TRAIN] epoch=2, iter=970/40000, loss=0.7563, lr=0.009782, batch_cost=0.5403, reader_cost=0.0001 | ETA 05:51:28 2021-01-17 16:49:55 [INFO] [TRAIN] epoch=2, iter=980/40000, loss=0.7618, lr=0.009779, batch_cost=0.5393, reader_cost=0.0001 | ETA 05:50:44 2021-01-17 16:50:00 [INFO] [TRAIN] epoch=2, iter=990/40000, loss=0.8984, lr=0.009777, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:48:49 2021-01-17 16:50:06 [INFO] [TRAIN] epoch=2, iter=1000/40000, loss=0.9151, lr=0.009775, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:48:49 2021-01-17 16:50:06 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 16:50:26 [INFO] [EVAL] #Images=1449 mIoU=0.5450 Acc=0.8944 Kappa=0.7696 2021-01-17 16:50:26 [INFO] [EVAL] Class IoU: [0.9037 0.6614 0.3001 0.656 0.4153 0.6501 0.7582 0.5414 0.7926 0.221 0.5511 0.1415 0.6965 0.3884 0.2801 0.7554 0.3465 0.6341 0.4071 0.7207 0.6246] 2021-01-17 16:50:26 [INFO] [EVAL] Class Acc: [0.9513 0.763 0.3299 0.6858 0.4366 0.7819 0.8546 0.5715 0.8548 0.6794 0.5793 0.9144 0.9051 0.8939 0.929 0.8047 0.8862 0.774 0.5568 0.9088 0.8286] 2021-01-17 16:50:32 [INFO] [EVAL] The model with the best validation mIoU (0.5450) was saved at iter 1000. 2021-01-17 16:50:37 [INFO] [TRAIN] epoch=2, iter=1010/40000, loss=0.7334, lr=0.009773, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:49:50 2021-01-17 16:50:43 [INFO] [TRAIN] epoch=2, iter=1020/40000, loss=0.7804, lr=0.009770, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:49:30 2021-01-17 16:50:48 [INFO] [TRAIN] epoch=2, iter=1030/40000, loss=0.9817, lr=0.009768, batch_cost=0.5435, reader_cost=0.0001 | ETA 05:53:00 2021-01-17 16:50:54 [INFO] [TRAIN] epoch=2, iter=1040/40000, loss=0.7686, lr=0.009766, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:50:39 2021-01-17 16:50:59 [INFO] [TRAIN] epoch=2, iter=1050/40000, loss=0.9365, lr=0.009764, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:49:30 2021-01-17 16:51:04 [INFO] [TRAIN] epoch=2, iter=1060/40000, loss=0.5679, lr=0.009761, batch_cost=0.5437, reader_cost=0.0001 | ETA 05:52:52 2021-01-17 16:51:10 [INFO] [TRAIN] epoch=2, iter=1070/40000, loss=0.6624, lr=0.009759, batch_cost=0.5419, reader_cost=0.0001 | ETA 05:51:35 2021-01-17 16:51:15 [INFO] [TRAIN] epoch=2, iter=1080/40000, loss=0.7370, lr=0.009757, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:48:24 2021-01-17 16:51:21 [INFO] [TRAIN] epoch=2, iter=1090/40000, loss=0.7362, lr=0.009755, batch_cost=0.5418, reader_cost=0.0001 | ETA 05:51:23 2021-01-17 16:51:26 [INFO] [TRAIN] epoch=2, iter=1100/40000, loss=0.5237, lr=0.009752, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:49:32 2021-01-17 16:51:31 [INFO] [TRAIN] epoch=2, iter=1110/40000, loss=0.9973, lr=0.009750, batch_cost=0.5352, reader_cost=0.0001 | ETA 05:46:53 2021-01-17 16:51:37 [INFO] [TRAIN] epoch=2, iter=1120/40000, loss=0.7060, lr=0.009748, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:47:52 2021-01-17 16:51:42 [INFO] [TRAIN] epoch=2, iter=1130/40000, loss=0.9237, lr=0.009746, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:48:05 2021-01-17 16:51:48 [INFO] [TRAIN] epoch=2, iter=1140/40000, loss=1.1441, lr=0.009743, batch_cost=0.5436, reader_cost=0.0001 | ETA 05:52:05 2021-01-17 16:51:53 [INFO] [TRAIN] epoch=2, iter=1150/40000, loss=0.8490, lr=0.009741, batch_cost=0.5340, reader_cost=0.0001 | ETA 05:45:47 2021-01-17 16:51:58 [INFO] [TRAIN] epoch=2, iter=1160/40000, loss=0.6716, lr=0.009739, batch_cost=0.5454, reader_cost=0.0001 | ETA 05:53:02 2021-01-17 16:52:04 [INFO] [TRAIN] epoch=2, iter=1170/40000, loss=0.7030, lr=0.009737, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:47:27 2021-01-17 16:52:09 [INFO] [TRAIN] epoch=2, iter=1180/40000, loss=0.8119, lr=0.009734, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:47:00 2021-01-17 16:52:14 [INFO] [TRAIN] epoch=2, iter=1190/40000, loss=0.7319, lr=0.009732, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:47:22 2021-01-17 16:52:20 [INFO] [TRAIN] epoch=2, iter=1200/40000, loss=1.0199, lr=0.009730, batch_cost=0.5415, reader_cost=0.0001 | ETA 05:50:10 2021-01-17 16:52:25 [INFO] [TRAIN] epoch=2, iter=1210/40000, loss=0.7010, lr=0.009728, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:48:22 2021-01-17 16:52:31 [INFO] [TRAIN] epoch=2, iter=1220/40000, loss=0.6039, lr=0.009725, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:47:23 2021-01-17 16:52:36 [INFO] [TRAIN] epoch=2, iter=1230/40000, loss=0.6353, lr=0.009723, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:49:35 2021-01-17 16:52:41 [INFO] [TRAIN] epoch=2, iter=1240/40000, loss=0.6986, lr=0.009721, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:48:55 2021-01-17 16:52:47 [INFO] [TRAIN] epoch=2, iter=1250/40000, loss=0.7485, lr=0.009719, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:45:55 2021-01-17 16:52:52 [INFO] [TRAIN] epoch=2, iter=1260/40000, loss=0.7520, lr=0.009716, batch_cost=0.5449, reader_cost=0.0001 | ETA 05:51:50 2021-01-17 16:52:58 [INFO] [TRAIN] epoch=2, iter=1270/40000, loss=1.1011, lr=0.009714, batch_cost=0.5406, reader_cost=0.0001 | ETA 05:48:58 2021-01-17 16:53:03 [INFO] [TRAIN] epoch=2, iter=1280/40000, loss=0.8984, lr=0.009712, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:47:28 2021-01-17 16:53:08 [INFO] [TRAIN] epoch=2, iter=1290/40000, loss=0.6274, lr=0.009710, batch_cost=0.5346, reader_cost=0.0001 | ETA 05:44:54 2021-01-17 16:53:14 [INFO] [TRAIN] epoch=2, iter=1300/40000, loss=0.7919, lr=0.009707, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:46:23 2021-01-17 16:53:19 [INFO] [TRAIN] epoch=2, iter=1310/40000, loss=0.6438, lr=0.009705, batch_cost=0.5378, reader_cost=0.0001 | ETA 05:46:47 2021-01-17 16:53:24 [INFO] [TRAIN] epoch=2, iter=1320/40000, loss=0.5852, lr=0.009703, batch_cost=0.5218, reader_cost=0.0001 | ETA 05:36:21 2021-01-17 16:53:30 [INFO] [TRAIN] epoch=3, iter=1330/40000, loss=0.6216, lr=0.009700, batch_cost=0.5479, reader_cost=0.0156 | ETA 05:53:06 2021-01-17 16:53:35 [INFO] [TRAIN] epoch=3, iter=1340/40000, loss=0.7448, lr=0.009698, batch_cost=0.5428, reader_cost=0.0001 | ETA 05:49:46 2021-01-17 16:53:41 [INFO] [TRAIN] epoch=3, iter=1350/40000, loss=0.5021, lr=0.009696, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:48:10 2021-01-17 16:53:46 [INFO] [TRAIN] epoch=3, iter=1360/40000, loss=0.6524, lr=0.009694, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:45:29 2021-01-17 16:53:51 [INFO] [TRAIN] epoch=3, iter=1370/40000, loss=0.7107, lr=0.009691, batch_cost=0.5425, reader_cost=0.0001 | ETA 05:49:15 2021-01-17 16:53:57 [INFO] [TRAIN] epoch=3, iter=1380/40000, loss=0.6205, lr=0.009689, batch_cost=0.5430, reader_cost=0.0001 | ETA 05:49:30 2021-01-17 16:54:02 [INFO] [TRAIN] epoch=3, iter=1390/40000, loss=0.6306, lr=0.009687, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:46:12 2021-01-17 16:54:08 [INFO] [TRAIN] epoch=3, iter=1400/40000, loss=0.7811, lr=0.009685, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:47:55 2021-01-17 16:54:13 [INFO] [TRAIN] epoch=3, iter=1410/40000, loss=0.6636, lr=0.009682, batch_cost=0.5406, reader_cost=0.0001 | ETA 05:47:41 2021-01-17 16:54:18 [INFO] [TRAIN] epoch=3, iter=1420/40000, loss=0.8409, lr=0.009680, batch_cost=0.5425, reader_cost=0.0001 | ETA 05:48:49 2021-01-17 16:54:24 [INFO] [TRAIN] epoch=3, iter=1430/40000, loss=0.6632, lr=0.009678, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:44:53 2021-01-17 16:54:29 [INFO] [TRAIN] epoch=3, iter=1440/40000, loss=0.7024, lr=0.009676, batch_cost=0.5441, reader_cost=0.0001 | ETA 05:49:38 2021-01-17 16:54:35 [INFO] [TRAIN] epoch=3, iter=1450/40000, loss=0.6244, lr=0.009673, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:45:04 2021-01-17 16:54:40 [INFO] [TRAIN] epoch=3, iter=1460/40000, loss=0.4586, lr=0.009671, batch_cost=0.5419, reader_cost=0.0001 | ETA 05:48:03 2021-01-17 16:54:45 [INFO] [TRAIN] epoch=3, iter=1470/40000, loss=0.5825, lr=0.009669, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:45:25 2021-01-17 16:54:51 [INFO] [TRAIN] epoch=3, iter=1480/40000, loss=0.6691, lr=0.009667, batch_cost=0.5358, reader_cost=0.0001 | ETA 05:43:57 2021-01-17 16:54:56 [INFO] [TRAIN] epoch=3, iter=1490/40000, loss=0.6779, lr=0.009664, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:43:44 2021-01-17 16:55:02 [INFO] [TRAIN] epoch=3, iter=1500/40000, loss=0.9149, lr=0.009662, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:47:48 2021-01-17 16:55:07 [INFO] [TRAIN] epoch=3, iter=1510/40000, loss=0.7297, lr=0.009660, batch_cost=0.5434, reader_cost=0.0001 | ETA 05:48:34 2021-01-17 16:55:12 [INFO] [TRAIN] epoch=3, iter=1520/40000, loss=0.6946, lr=0.009658, batch_cost=0.5406, reader_cost=0.0001 | ETA 05:46:41 2021-01-17 16:55:18 [INFO] [TRAIN] epoch=3, iter=1530/40000, loss=0.7977, lr=0.009655, batch_cost=0.5440, reader_cost=0.0001 | ETA 05:48:45 2021-01-17 16:55:23 [INFO] [TRAIN] epoch=3, iter=1540/40000, loss=0.9984, lr=0.009653, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:45:19 2021-01-17 16:55:29 [INFO] [TRAIN] epoch=3, iter=1550/40000, loss=0.5581, lr=0.009651, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:43:57 2021-01-17 16:55:34 [INFO] [TRAIN] epoch=3, iter=1560/40000, loss=0.6828, lr=0.009649, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:44:59 2021-01-17 16:55:39 [INFO] [TRAIN] epoch=3, iter=1570/40000, loss=0.6973, lr=0.009646, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:45:45 2021-01-17 16:55:45 [INFO] [TRAIN] epoch=3, iter=1580/40000, loss=0.6839, lr=0.009644, batch_cost=0.5452, reader_cost=0.0001 | ETA 05:49:06 2021-01-17 16:55:50 [INFO] [TRAIN] epoch=3, iter=1590/40000, loss=0.5780, lr=0.009642, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:44:53 2021-01-17 16:55:56 [INFO] [TRAIN] epoch=3, iter=1600/40000, loss=0.5628, lr=0.009639, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:46:10 2021-01-17 16:56:01 [INFO] [TRAIN] epoch=3, iter=1610/40000, loss=0.6350, lr=0.009637, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:44:47 2021-01-17 16:56:06 [INFO] [TRAIN] epoch=3, iter=1620/40000, loss=0.9025, lr=0.009635, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:43:27 2021-01-17 16:56:12 [INFO] [TRAIN] epoch=3, iter=1630/40000, loss=0.6873, lr=0.009633, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:43:34 2021-01-17 16:56:17 [INFO] [TRAIN] epoch=3, iter=1640/40000, loss=0.9042, lr=0.009630, batch_cost=0.5433, reader_cost=0.0001 | ETA 05:47:19 2021-01-17 16:56:23 [INFO] [TRAIN] epoch=3, iter=1650/40000, loss=0.6896, lr=0.009628, batch_cost=0.5343, reader_cost=0.0001 | ETA 05:41:32 2021-01-17 16:56:28 [INFO] [TRAIN] epoch=3, iter=1660/40000, loss=0.7351, lr=0.009626, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:44:54 2021-01-17 16:56:33 [INFO] [TRAIN] epoch=3, iter=1670/40000, loss=0.7019, lr=0.009624, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:43:56 2021-01-17 16:56:39 [INFO] [TRAIN] epoch=3, iter=1680/40000, loss=0.5898, lr=0.009621, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:42:49 2021-01-17 16:56:44 [INFO] [TRAIN] epoch=3, iter=1690/40000, loss=0.4820, lr=0.009619, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:44:39 2021-01-17 16:56:50 [INFO] [TRAIN] epoch=3, iter=1700/40000, loss=0.5029, lr=0.009617, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:43:33 2021-01-17 16:56:55 [INFO] [TRAIN] epoch=3, iter=1710/40000, loss=0.5643, lr=0.009615, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:44:17 2021-01-17 16:57:00 [INFO] [TRAIN] epoch=3, iter=1720/40000, loss=0.6091, lr=0.009612, batch_cost=0.5447, reader_cost=0.0001 | ETA 05:47:29 2021-01-17 16:57:06 [INFO] [TRAIN] epoch=3, iter=1730/40000, loss=0.5675, lr=0.009610, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:42:04 2021-01-17 16:57:11 [INFO] [TRAIN] epoch=3, iter=1740/40000, loss=0.6878, lr=0.009608, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:43:30 2021-01-17 16:57:17 [INFO] [TRAIN] epoch=3, iter=1750/40000, loss=0.5326, lr=0.009606, batch_cost=0.5397, reader_cost=0.0001 | ETA 05:44:02 2021-01-17 16:57:22 [INFO] [TRAIN] epoch=3, iter=1760/40000, loss=0.8785, lr=0.009603, batch_cost=0.5406, reader_cost=0.0001 | ETA 05:44:32 2021-01-17 16:57:27 [INFO] [TRAIN] epoch=3, iter=1770/40000, loss=0.6100, lr=0.009601, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:44:33 2021-01-17 16:57:33 [INFO] [TRAIN] epoch=3, iter=1780/40000, loss=0.6972, lr=0.009599, batch_cost=0.5345, reader_cost=0.0001 | ETA 05:40:27 2021-01-17 16:57:38 [INFO] [TRAIN] epoch=3, iter=1790/40000, loss=0.5082, lr=0.009597, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:44:46 2021-01-17 16:57:44 [INFO] [TRAIN] epoch=3, iter=1800/40000, loss=0.5658, lr=0.009594, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:45:06 2021-01-17 16:57:49 [INFO] [TRAIN] epoch=3, iter=1810/40000, loss=0.6310, lr=0.009592, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:42:08 2021-01-17 16:57:54 [INFO] [TRAIN] epoch=3, iter=1820/40000, loss=0.7515, lr=0.009590, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:42:48 2021-01-17 16:58:00 [INFO] [TRAIN] epoch=3, iter=1830/40000, loss=0.7016, lr=0.009588, batch_cost=0.5431, reader_cost=0.0001 | ETA 05:45:31 2021-01-17 16:58:05 [INFO] [TRAIN] epoch=3, iter=1840/40000, loss=0.6162, lr=0.009585, batch_cost=0.5431, reader_cost=0.0001 | ETA 05:45:25 2021-01-17 16:58:11 [INFO] [TRAIN] epoch=3, iter=1850/40000, loss=0.7628, lr=0.009583, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:43:13 2021-01-17 16:58:16 [INFO] [TRAIN] epoch=3, iter=1860/40000, loss=0.6876, lr=0.009581, batch_cost=0.5366, reader_cost=0.0001 | ETA 05:41:07 2021-01-17 16:58:21 [INFO] [TRAIN] epoch=3, iter=1870/40000, loss=0.5257, lr=0.009578, batch_cost=0.5417, reader_cost=0.0001 | ETA 05:44:15 2021-01-17 16:58:27 [INFO] [TRAIN] epoch=3, iter=1880/40000, loss=0.6849, lr=0.009576, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:41:34 2021-01-17 16:58:32 [INFO] [TRAIN] epoch=3, iter=1890/40000, loss=0.4930, lr=0.009574, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:40:54 2021-01-17 16:58:37 [INFO] [TRAIN] epoch=3, iter=1900/40000, loss=0.8979, lr=0.009572, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:40:58 2021-01-17 16:58:43 [INFO] [TRAIN] epoch=3, iter=1910/40000, loss=0.5465, lr=0.009569, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:43:30 2021-01-17 16:58:48 [INFO] [TRAIN] epoch=3, iter=1920/40000, loss=0.7460, lr=0.009567, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:42:35 2021-01-17 16:58:54 [INFO] [TRAIN] epoch=3, iter=1930/40000, loss=0.5728, lr=0.009565, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:43:15 2021-01-17 16:58:59 [INFO] [TRAIN] epoch=3, iter=1940/40000, loss=0.8129, lr=0.009563, batch_cost=0.5342, reader_cost=0.0001 | ETA 05:38:53 2021-01-17 16:59:04 [INFO] [TRAIN] epoch=3, iter=1950/40000, loss=0.6208, lr=0.009560, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:40:15 2021-01-17 16:59:10 [INFO] [TRAIN] epoch=3, iter=1960/40000, loss=0.5346, lr=0.009558, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:42:50 2021-01-17 16:59:15 [INFO] [TRAIN] epoch=3, iter=1970/40000, loss=0.9712, lr=0.009556, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:41:59 2021-01-17 16:59:20 [INFO] [TRAIN] epoch=3, iter=1980/40000, loss=0.5544, lr=0.009554, batch_cost=0.5293, reader_cost=0.0001 | ETA 05:35:25 2021-01-17 16:59:26 [INFO] [TRAIN] epoch=4, iter=1990/40000, loss=0.6960, lr=0.009551, batch_cost=0.5425, reader_cost=0.0160 | ETA 05:43:40 2021-01-17 16:59:31 [INFO] [TRAIN] epoch=4, iter=2000/40000, loss=0.7154, lr=0.009549, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:42:34 2021-01-17 16:59:31 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 16:59:52 [INFO] [EVAL] #Images=1449 mIoU=0.6262 Acc=0.9106 Kappa=0.8071 2021-01-17 16:59:52 [INFO] [EVAL] Class IoU: [0.9103 0.8242 0.351 0.6372 0.5376 0.5902 0.8015 0.7686 0.8363 0.3142 0.5578 0.3938 0.7514 0.6526 0.6919 0.8074 0.4863 0.6473 0.4412 0.6799 0.4691] 2021-01-17 16:59:52 [INFO] [EVAL] Class Acc: [0.9594 0.8481 0.3677 0.6498 0.5575 0.9243 0.9521 0.9186 0.9268 0.5978 0.9392 0.7995 0.8288 0.7004 0.7476 0.8875 0.6657 0.7655 0.6279 0.7523 0.4968] 2021-01-17 16:59:58 [INFO] [EVAL] The model with the best validation mIoU (0.6262) was saved at iter 2000. 2021-01-17 17:00:03 [INFO] [TRAIN] epoch=4, iter=2010/40000, loss=0.4715, lr=0.009547, batch_cost=0.5419, reader_cost=0.0001 | ETA 05:43:06 2021-01-17 17:00:09 [INFO] [TRAIN] epoch=4, iter=2020/40000, loss=0.5365, lr=0.009545, batch_cost=0.5424, reader_cost=0.0001 | ETA 05:43:21 2021-01-17 17:00:14 [INFO] [TRAIN] epoch=4, iter=2030/40000, loss=0.3745, lr=0.009542, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:40:42 2021-01-17 17:00:20 [INFO] [TRAIN] epoch=4, iter=2040/40000, loss=0.7117, lr=0.009540, batch_cost=0.5339, reader_cost=0.0001 | ETA 05:37:46 2021-01-17 17:00:25 [INFO] [TRAIN] epoch=4, iter=2050/40000, loss=0.5833, lr=0.009538, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:38:59 2021-01-17 17:00:30 [INFO] [TRAIN] epoch=4, iter=2060/40000, loss=0.5980, lr=0.009536, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:42:19 2021-01-17 17:00:36 [INFO] [TRAIN] epoch=4, iter=2070/40000, loss=0.6010, lr=0.009533, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:42:40 2021-01-17 17:00:41 [INFO] [TRAIN] epoch=4, iter=2080/40000, loss=0.7073, lr=0.009531, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:40:44 2021-01-17 17:00:47 [INFO] [TRAIN] epoch=4, iter=2090/40000, loss=0.5042, lr=0.009529, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:41:40 2021-01-17 17:00:52 [INFO] [TRAIN] epoch=4, iter=2100/40000, loss=0.4847, lr=0.009526, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:39:48 2021-01-17 17:00:57 [INFO] [TRAIN] epoch=4, iter=2110/40000, loss=0.5983, lr=0.009524, batch_cost=0.5455, reader_cost=0.0001 | ETA 05:44:30 2021-01-17 17:01:03 [INFO] [TRAIN] epoch=4, iter=2120/40000, loss=0.7060, lr=0.009522, batch_cost=0.5393, reader_cost=0.0001 | ETA 05:40:28 2021-01-17 17:01:08 [INFO] [TRAIN] epoch=4, iter=2130/40000, loss=0.5448, lr=0.009520, batch_cost=0.5440, reader_cost=0.0001 | ETA 05:43:22 2021-01-17 17:01:14 [INFO] [TRAIN] epoch=4, iter=2140/40000, loss=0.7238, lr=0.009517, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:38:49 2021-01-17 17:01:19 [INFO] [TRAIN] epoch=4, iter=2150/40000, loss=0.4914, lr=0.009515, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:39:36 2021-01-17 17:01:24 [INFO] [TRAIN] epoch=4, iter=2160/40000, loss=0.5469, lr=0.009513, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:40:26 2021-01-17 17:01:30 [INFO] [TRAIN] epoch=4, iter=2170/40000, loss=0.4482, lr=0.009511, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:37:45 2021-01-17 17:01:35 [INFO] [TRAIN] epoch=4, iter=2180/40000, loss=0.6543, lr=0.009508, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:38:51 2021-01-17 17:01:41 [INFO] [TRAIN] epoch=4, iter=2190/40000, loss=0.9838, lr=0.009506, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:40:22 2021-01-17 17:01:46 [INFO] [TRAIN] epoch=4, iter=2200/40000, loss=0.9131, lr=0.009504, batch_cost=0.5397, reader_cost=0.0001 | ETA 05:40:02 2021-01-17 17:01:51 [INFO] [TRAIN] epoch=4, iter=2210/40000, loss=0.7509, lr=0.009502, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:39:12 2021-01-17 17:01:57 [INFO] [TRAIN] epoch=4, iter=2220/40000, loss=0.7870, lr=0.009499, batch_cost=0.5404, reader_cost=0.0001 | ETA 05:40:16 2021-01-17 17:02:02 [INFO] [TRAIN] epoch=4, iter=2230/40000, loss=0.5925, lr=0.009497, batch_cost=0.5361, reader_cost=0.0001 | ETA 05:37:27 2021-01-17 17:02:08 [INFO] [TRAIN] epoch=4, iter=2240/40000, loss=0.7884, lr=0.009495, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:39:10 2021-01-17 17:02:13 [INFO] [TRAIN] epoch=4, iter=2250/40000, loss=0.5279, lr=0.009493, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:38:55 2021-01-17 17:02:18 [INFO] [TRAIN] epoch=4, iter=2260/40000, loss=0.5010, lr=0.009490, batch_cost=0.5383, reader_cost=0.0001 | ETA 05:38:34 2021-01-17 17:02:24 [INFO] [TRAIN] epoch=4, iter=2270/40000, loss=0.5286, lr=0.009488, batch_cost=0.5362, reader_cost=0.0001 | ETA 05:37:09 2021-01-17 17:02:29 [INFO] [TRAIN] epoch=4, iter=2280/40000, loss=0.9764, lr=0.009486, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:39:13 2021-01-17 17:02:34 [INFO] [TRAIN] epoch=4, iter=2290/40000, loss=0.7965, lr=0.009483, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:41:05 2021-01-17 17:02:40 [INFO] [TRAIN] epoch=4, iter=2300/40000, loss=0.6421, lr=0.009481, batch_cost=0.5430, reader_cost=0.0001 | ETA 05:41:12 2021-01-17 17:02:45 [INFO] [TRAIN] epoch=4, iter=2310/40000, loss=0.6553, lr=0.009479, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:38:32 2021-01-17 17:02:51 [INFO] [TRAIN] epoch=4, iter=2320/40000, loss=0.8025, lr=0.009477, batch_cost=0.5412, reader_cost=0.0001 | ETA 05:39:51 2021-01-17 17:02:56 [INFO] [TRAIN] epoch=4, iter=2330/40000, loss=0.6369, lr=0.009474, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:37:05 2021-01-17 17:03:02 [INFO] [TRAIN] epoch=4, iter=2340/40000, loss=0.9603, lr=0.009472, batch_cost=0.5434, reader_cost=0.0001 | ETA 05:41:05 2021-01-17 17:03:07 [INFO] [TRAIN] epoch=4, iter=2350/40000, loss=0.7694, lr=0.009470, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:37:58 2021-01-17 17:03:12 [INFO] [TRAIN] epoch=4, iter=2360/40000, loss=0.6170, lr=0.009468, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:37:52 2021-01-17 17:03:18 [INFO] [TRAIN] epoch=4, iter=2370/40000, loss=0.5461, lr=0.009465, batch_cost=0.5437, reader_cost=0.0001 | ETA 05:40:57 2021-01-17 17:03:23 [INFO] [TRAIN] epoch=4, iter=2380/40000, loss=0.6863, lr=0.009463, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:36:47 2021-01-17 17:03:29 [INFO] [TRAIN] epoch=4, iter=2390/40000, loss=0.4689, lr=0.009461, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:39:09 2021-01-17 17:03:34 [INFO] [TRAIN] epoch=4, iter=2400/40000, loss=0.6122, lr=0.009459, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:36:50 2021-01-17 17:03:39 [INFO] [TRAIN] epoch=4, iter=2410/40000, loss=0.6106, lr=0.009456, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:38:36 2021-01-17 17:03:45 [INFO] [TRAIN] epoch=4, iter=2420/40000, loss=0.6625, lr=0.009454, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:36:15 2021-01-17 17:03:50 [INFO] [TRAIN] epoch=4, iter=2430/40000, loss=0.6580, lr=0.009452, batch_cost=0.5364, reader_cost=0.0001 | ETA 05:35:53 2021-01-17 17:03:55 [INFO] [TRAIN] epoch=4, iter=2440/40000, loss=0.5712, lr=0.009450, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:36:11 2021-01-17 17:04:01 [INFO] [TRAIN] epoch=4, iter=2450/40000, loss=0.6337, lr=0.009447, batch_cost=0.5415, reader_cost=0.0001 | ETA 05:38:52 2021-01-17 17:04:06 [INFO] [TRAIN] epoch=4, iter=2460/40000, loss=0.5003, lr=0.009445, batch_cost=0.5431, reader_cost=0.0001 | ETA 05:39:47 2021-01-17 17:04:12 [INFO] [TRAIN] epoch=4, iter=2470/40000, loss=0.8073, lr=0.009443, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:35:41 2021-01-17 17:04:17 [INFO] [TRAIN] epoch=4, iter=2480/40000, loss=0.7338, lr=0.009440, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:36:20 2021-01-17 17:04:22 [INFO] [TRAIN] epoch=4, iter=2490/40000, loss=0.8675, lr=0.009438, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:37:28 2021-01-17 17:04:28 [INFO] [TRAIN] epoch=4, iter=2500/40000, loss=0.6429, lr=0.009436, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:35:12 2021-01-17 17:04:33 [INFO] [TRAIN] epoch=4, iter=2510/40000, loss=0.5265, lr=0.009434, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:36:41 2021-01-17 17:04:39 [INFO] [TRAIN] epoch=4, iter=2520/40000, loss=0.5418, lr=0.009431, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:36:02 2021-01-17 17:04:44 [INFO] [TRAIN] epoch=4, iter=2530/40000, loss=0.4635, lr=0.009429, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:36:43 2021-01-17 17:04:49 [INFO] [TRAIN] epoch=4, iter=2540/40000, loss=0.6699, lr=0.009427, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:36:23 2021-01-17 17:04:55 [INFO] [TRAIN] epoch=4, iter=2550/40000, loss=0.5629, lr=0.009425, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:36:33 2021-01-17 17:05:00 [INFO] [TRAIN] epoch=4, iter=2560/40000, loss=0.5128, lr=0.009422, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:36:49 2021-01-17 17:05:06 [INFO] [TRAIN] epoch=4, iter=2570/40000, loss=0.8108, lr=0.009420, batch_cost=0.5453, reader_cost=0.0001 | ETA 05:40:10 2021-01-17 17:05:11 [INFO] [TRAIN] epoch=4, iter=2580/40000, loss=0.4562, lr=0.009418, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:35:46 2021-01-17 17:05:16 [INFO] [TRAIN] epoch=4, iter=2590/40000, loss=1.1992, lr=0.009416, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:35:04 2021-01-17 17:05:22 [INFO] [TRAIN] epoch=4, iter=2600/40000, loss=0.5637, lr=0.009413, batch_cost=0.5362, reader_cost=0.0001 | ETA 05:34:12 2021-01-17 17:05:27 [INFO] [TRAIN] epoch=4, iter=2610/40000, loss=0.6191, lr=0.009411, batch_cost=0.5329, reader_cost=0.0001 | ETA 05:32:06 2021-01-17 17:05:32 [INFO] [TRAIN] epoch=4, iter=2620/40000, loss=0.5603, lr=0.009409, batch_cost=0.5335, reader_cost=0.0001 | ETA 05:32:23 2021-01-17 17:05:38 [INFO] [TRAIN] epoch=4, iter=2630/40000, loss=0.5257, lr=0.009406, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:35:26 2021-01-17 17:05:43 [INFO] [TRAIN] epoch=4, iter=2640/40000, loss=0.5790, lr=0.009404, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:36:01 2021-01-17 17:05:48 [INFO] [TRAIN] epoch=5, iter=2650/40000, loss=0.5611, lr=0.009402, batch_cost=0.5356, reader_cost=0.0141 | ETA 05:33:23 2021-01-17 17:05:54 [INFO] [TRAIN] epoch=5, iter=2660/40000, loss=0.6150, lr=0.009400, batch_cost=0.5416, reader_cost=0.0001 | ETA 05:37:02 2021-01-17 17:05:59 [INFO] [TRAIN] epoch=5, iter=2670/40000, loss=0.6739, lr=0.009397, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:35:03 2021-01-17 17:06:05 [INFO] [TRAIN] epoch=5, iter=2680/40000, loss=0.4830, lr=0.009395, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:34:20 2021-01-17 17:06:10 [INFO] [TRAIN] epoch=5, iter=2690/40000, loss=0.5481, lr=0.009393, batch_cost=0.5455, reader_cost=0.0001 | ETA 05:39:12 2021-01-17 17:06:16 [INFO] [TRAIN] epoch=5, iter=2700/40000, loss=0.5671, lr=0.009391, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:35:09 2021-01-17 17:06:21 [INFO] [TRAIN] epoch=5, iter=2710/40000, loss=0.6694, lr=0.009388, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:33:59 2021-01-17 17:06:26 [INFO] [TRAIN] epoch=5, iter=2720/40000, loss=0.4973, lr=0.009386, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:35:59 2021-01-17 17:06:32 [INFO] [TRAIN] epoch=5, iter=2730/40000, loss=0.5544, lr=0.009384, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:34:07 2021-01-17 17:06:37 [INFO] [TRAIN] epoch=5, iter=2740/40000, loss=0.5089, lr=0.009382, batch_cost=0.5336, reader_cost=0.0001 | ETA 05:31:21 2021-01-17 17:06:42 [INFO] [TRAIN] epoch=5, iter=2750/40000, loss=0.4623, lr=0.009379, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:34:41 2021-01-17 17:06:48 [INFO] [TRAIN] epoch=5, iter=2760/40000, loss=0.5912, lr=0.009377, batch_cost=0.5432, reader_cost=0.0001 | ETA 05:37:06 2021-01-17 17:06:53 [INFO] [TRAIN] epoch=5, iter=2770/40000, loss=0.5566, lr=0.009375, batch_cost=0.5413, reader_cost=0.0001 | ETA 05:35:51 2021-01-17 17:06:59 [INFO] [TRAIN] epoch=5, iter=2780/40000, loss=0.4062, lr=0.009372, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:33:49 2021-01-17 17:07:04 [INFO] [TRAIN] epoch=5, iter=2790/40000, loss=0.6479, lr=0.009370, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:34:24 2021-01-17 17:07:09 [INFO] [TRAIN] epoch=5, iter=2800/40000, loss=0.5708, lr=0.009368, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:33:47 2021-01-17 17:07:15 [INFO] [TRAIN] epoch=5, iter=2810/40000, loss=0.5915, lr=0.009366, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:32:41 2021-01-17 17:07:20 [INFO] [TRAIN] epoch=5, iter=2820/40000, loss=0.5680, lr=0.009363, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:36:15 2021-01-17 17:07:26 [INFO] [TRAIN] epoch=5, iter=2830/40000, loss=0.5285, lr=0.009361, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:32:02 2021-01-17 17:07:31 [INFO] [TRAIN] epoch=5, iter=2840/40000, loss=0.5196, lr=0.009359, batch_cost=0.5416, reader_cost=0.0001 | ETA 05:35:27 2021-01-17 17:07:36 [INFO] [TRAIN] epoch=5, iter=2850/40000, loss=0.6308, lr=0.009357, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:33:38 2021-01-17 17:07:42 [INFO] [TRAIN] epoch=5, iter=2860/40000, loss=0.5286, lr=0.009354, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:33:29 2021-01-17 17:07:47 [INFO] [TRAIN] epoch=5, iter=2870/40000, loss=0.6719, lr=0.009352, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:31:31 2021-01-17 17:07:52 [INFO] [TRAIN] epoch=5, iter=2880/40000, loss=0.6222, lr=0.009350, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:32:06 2021-01-17 17:07:58 [INFO] [TRAIN] epoch=5, iter=2890/40000, loss=0.5015, lr=0.009348, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:34:40 2021-01-17 17:08:03 [INFO] [TRAIN] epoch=5, iter=2900/40000, loss=0.3912, lr=0.009345, batch_cost=0.5422, reader_cost=0.0001 | ETA 05:35:16 2021-01-17 17:08:09 [INFO] [TRAIN] epoch=5, iter=2910/40000, loss=0.4904, lr=0.009343, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:31:08 2021-01-17 17:08:14 [INFO] [TRAIN] epoch=5, iter=2920/40000, loss=0.6082, lr=0.009341, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:31:24 2021-01-17 17:08:19 [INFO] [TRAIN] epoch=5, iter=2930/40000, loss=0.4861, lr=0.009338, batch_cost=0.5399, reader_cost=0.0001 | ETA 05:33:33 2021-01-17 17:08:25 [INFO] [TRAIN] epoch=5, iter=2940/40000, loss=0.4581, lr=0.009336, batch_cost=0.5422, reader_cost=0.0001 | ETA 05:34:54 2021-01-17 17:08:30 [INFO] [TRAIN] epoch=5, iter=2950/40000, loss=0.6082, lr=0.009334, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:32:10 2021-01-17 17:08:36 [INFO] [TRAIN] epoch=5, iter=2960/40000, loss=0.7620, lr=0.009332, batch_cost=0.5366, reader_cost=0.0001 | ETA 05:31:14 2021-01-17 17:08:41 [INFO] [TRAIN] epoch=5, iter=2970/40000, loss=0.5112, lr=0.009329, batch_cost=0.5412, reader_cost=0.0001 | ETA 05:33:59 2021-01-17 17:08:46 [INFO] [TRAIN] epoch=5, iter=2980/40000, loss=0.6280, lr=0.009327, batch_cost=0.5390, reader_cost=0.0001 | ETA 05:32:32 2021-01-17 17:08:52 [INFO] [TRAIN] epoch=5, iter=2990/40000, loss=0.4958, lr=0.009325, batch_cost=0.5435, reader_cost=0.0001 | ETA 05:35:14 2021-01-17 17:08:57 [INFO] [TRAIN] epoch=5, iter=3000/40000, loss=0.5873, lr=0.009323, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:33:51 2021-01-17 17:08:57 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 17:09:18 [INFO] [EVAL] #Images=1449 mIoU=0.6884 Acc=0.9296 Kappa=0.8413 2021-01-17 17:09:18 [INFO] [EVAL] Class IoU: [0.9283 0.8778 0.3792 0.8577 0.6629 0.6974 0.8917 0.8187 0.82 0.3096 0.7444 0.3923 0.7183 0.7356 0.7765 0.8096 0.5143 0.7165 0.3536 0.822 0.631 ] 2021-01-17 17:09:18 [INFO] [EVAL] Class Acc: [0.9508 0.9282 0.4357 0.9297 0.7637 0.9089 0.9712 0.9179 0.8462 0.4896 0.8313 0.9174 0.8401 0.9309 0.8073 0.9406 0.8293 0.8118 0.8291 0.898 0.915 ] 2021-01-17 17:09:24 [INFO] [EVAL] The model with the best validation mIoU (0.6884) was saved at iter 3000. 2021-01-17 17:09:29 [INFO] [TRAIN] epoch=5, iter=3010/40000, loss=0.4372, lr=0.009320, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:30:36 2021-01-17 17:09:35 [INFO] [TRAIN] epoch=5, iter=3020/40000, loss=0.4000, lr=0.009318, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:32:03 2021-01-17 17:09:40 [INFO] [TRAIN] epoch=5, iter=3030/40000, loss=0.4603, lr=0.009316, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:33:37 2021-01-17 17:09:45 [INFO] [TRAIN] epoch=5, iter=3040/40000, loss=0.5491, lr=0.009314, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:31:44 2021-01-17 17:09:51 [INFO] [TRAIN] epoch=5, iter=3050/40000, loss=0.6222, lr=0.009311, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:29:52 2021-01-17 17:09:56 [INFO] [TRAIN] epoch=5, iter=3060/40000, loss=0.4902, lr=0.009309, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:30:58 2021-01-17 17:10:02 [INFO] [TRAIN] epoch=5, iter=3070/40000, loss=0.5592, lr=0.009307, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:30:21 2021-01-17 17:10:07 [INFO] [TRAIN] epoch=5, iter=3080/40000, loss=0.5511, lr=0.009304, batch_cost=0.5432, reader_cost=0.0001 | ETA 05:34:16 2021-01-17 17:10:12 [INFO] [TRAIN] epoch=5, iter=3090/40000, loss=0.5342, lr=0.009302, batch_cost=0.5349, reader_cost=0.0001 | ETA 05:29:04 2021-01-17 17:10:18 [INFO] [TRAIN] epoch=5, iter=3100/40000, loss=0.6020, lr=0.009300, batch_cost=0.5358, reader_cost=0.0001 | ETA 05:29:30 2021-01-17 17:10:23 [INFO] [TRAIN] epoch=5, iter=3110/40000, loss=0.4588, lr=0.009298, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:30:07 2021-01-17 17:10:28 [INFO] [TRAIN] epoch=5, iter=3120/40000, loss=0.5385, lr=0.009295, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:33:13 2021-01-17 17:10:34 [INFO] [TRAIN] epoch=5, iter=3130/40000, loss=0.5778, lr=0.009293, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:29:33 2021-01-17 17:10:39 [INFO] [TRAIN] epoch=5, iter=3140/40000, loss=0.6814, lr=0.009291, batch_cost=0.5448, reader_cost=0.0001 | ETA 05:34:42 2021-01-17 17:10:45 [INFO] [TRAIN] epoch=5, iter=3150/40000, loss=0.6340, lr=0.009289, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:31:20 2021-01-17 17:10:50 [INFO] [TRAIN] epoch=5, iter=3160/40000, loss=0.7051, lr=0.009286, batch_cost=0.5338, reader_cost=0.0001 | ETA 05:27:45 2021-01-17 17:10:55 [INFO] [TRAIN] epoch=5, iter=3170/40000, loss=0.5888, lr=0.009284, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:30:43 2021-01-17 17:11:01 [INFO] [TRAIN] epoch=5, iter=3180/40000, loss=0.5773, lr=0.009282, batch_cost=0.5403, reader_cost=0.0001 | ETA 05:31:34 2021-01-17 17:11:06 [INFO] [TRAIN] epoch=5, iter=3190/40000, loss=0.7116, lr=0.009280, batch_cost=0.5404, reader_cost=0.0001 | ETA 05:31:32 2021-01-17 17:11:12 [INFO] [TRAIN] epoch=5, iter=3200/40000, loss=0.5223, lr=0.009277, batch_cost=0.5433, reader_cost=0.0001 | ETA 05:33:12 2021-01-17 17:11:17 [INFO] [TRAIN] epoch=5, iter=3210/40000, loss=0.7782, lr=0.009275, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:30:50 2021-01-17 17:11:22 [INFO] [TRAIN] epoch=5, iter=3220/40000, loss=0.5559, lr=0.009273, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:30:31 2021-01-17 17:11:28 [INFO] [TRAIN] epoch=5, iter=3230/40000, loss=0.6116, lr=0.009270, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:31:13 2021-01-17 17:11:33 [INFO] [TRAIN] epoch=5, iter=3240/40000, loss=0.5170, lr=0.009268, batch_cost=0.5439, reader_cost=0.0001 | ETA 05:33:13 2021-01-17 17:11:39 [INFO] [TRAIN] epoch=5, iter=3250/40000, loss=0.4940, lr=0.009266, batch_cost=0.5432, reader_cost=0.0001 | ETA 05:32:41 2021-01-17 17:11:44 [INFO] [TRAIN] epoch=5, iter=3260/40000, loss=0.7709, lr=0.009264, batch_cost=0.5346, reader_cost=0.0001 | ETA 05:27:21 2021-01-17 17:11:49 [INFO] [TRAIN] epoch=5, iter=3270/40000, loss=0.5072, lr=0.009261, batch_cost=0.5366, reader_cost=0.0001 | ETA 05:28:28 2021-01-17 17:11:55 [INFO] [TRAIN] epoch=5, iter=3280/40000, loss=0.6319, lr=0.009259, batch_cost=0.5404, reader_cost=0.0001 | ETA 05:30:42 2021-01-17 17:12:00 [INFO] [TRAIN] epoch=5, iter=3290/40000, loss=0.5581, lr=0.009257, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:30:05 2021-01-17 17:12:06 [INFO] [TRAIN] epoch=5, iter=3300/40000, loss=0.4317, lr=0.009255, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:30:51 2021-01-17 17:12:11 [INFO] [TRAIN] epoch=6, iter=3310/40000, loss=0.4372, lr=0.009252, batch_cost=0.5323, reader_cost=0.0153 | ETA 05:25:30 2021-01-17 17:12:16 [INFO] [TRAIN] epoch=6, iter=3320/40000, loss=0.4980, lr=0.009250, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:29:21 2021-01-17 17:12:22 [INFO] [TRAIN] epoch=6, iter=3330/40000, loss=0.7046, lr=0.009248, batch_cost=0.5353, reader_cost=0.0001 | ETA 05:27:08 2021-01-17 17:12:27 [INFO] [TRAIN] epoch=6, iter=3340/40000, loss=0.5821, lr=0.009245, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:29:59 2021-01-17 17:12:33 [INFO] [TRAIN] epoch=6, iter=3350/40000, loss=0.5451, lr=0.009243, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:31:30 2021-01-17 17:12:38 [INFO] [TRAIN] epoch=6, iter=3360/40000, loss=0.6720, lr=0.009241, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:31:03 2021-01-17 17:12:43 [INFO] [TRAIN] epoch=6, iter=3370/40000, loss=0.4138, lr=0.009239, batch_cost=0.5362, reader_cost=0.0001 | ETA 05:27:21 2021-01-17 17:12:49 [INFO] [TRAIN] epoch=6, iter=3380/40000, loss=0.4091, lr=0.009236, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:28:40 2021-01-17 17:12:54 [INFO] [TRAIN] epoch=6, iter=3390/40000, loss=0.4019, lr=0.009234, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:27:55 2021-01-17 17:13:00 [INFO] [TRAIN] epoch=6, iter=3400/40000, loss=0.5622, lr=0.009232, batch_cost=0.5433, reader_cost=0.0001 | ETA 05:31:24 2021-01-17 17:13:05 [INFO] [TRAIN] epoch=6, iter=3410/40000, loss=0.5007, lr=0.009230, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:27:29 2021-01-17 17:13:10 [INFO] [TRAIN] epoch=6, iter=3420/40000, loss=0.5643, lr=0.009227, batch_cost=0.5415, reader_cost=0.0001 | ETA 05:30:07 2021-01-17 17:13:16 [INFO] [TRAIN] epoch=6, iter=3430/40000, loss=0.4952, lr=0.009225, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:28:33 2021-01-17 17:13:21 [INFO] [TRAIN] epoch=6, iter=3440/40000, loss=0.5710, lr=0.009223, batch_cost=0.5439, reader_cost=0.0001 | ETA 05:31:23 2021-01-17 17:13:27 [INFO] [TRAIN] epoch=6, iter=3450/40000, loss=0.6764, lr=0.009221, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:28:38 2021-01-17 17:13:32 [INFO] [TRAIN] epoch=6, iter=3460/40000, loss=0.6479, lr=0.009218, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:27:54 2021-01-17 17:13:37 [INFO] [TRAIN] epoch=6, iter=3470/40000, loss=0.6607, lr=0.009216, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:27:55 2021-01-17 17:13:43 [INFO] [TRAIN] epoch=6, iter=3480/40000, loss=0.6969, lr=0.009214, batch_cost=0.5438, reader_cost=0.0001 | ETA 05:30:59 2021-01-17 17:13:48 [INFO] [TRAIN] epoch=6, iter=3490/40000, loss=0.4551, lr=0.009211, batch_cost=0.5447, reader_cost=0.0001 | ETA 05:31:26 2021-01-17 17:13:54 [INFO] [TRAIN] epoch=6, iter=3500/40000, loss=0.5772, lr=0.009209, batch_cost=0.5359, reader_cost=0.0001 | ETA 05:26:02 2021-01-17 17:13:59 [INFO] [TRAIN] epoch=6, iter=3510/40000, loss=0.4405, lr=0.009207, batch_cost=0.5397, reader_cost=0.0001 | ETA 05:28:13 2021-01-17 17:14:04 [INFO] [TRAIN] epoch=6, iter=3520/40000, loss=0.3459, lr=0.009205, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:27:12 2021-01-17 17:14:10 [INFO] [TRAIN] epoch=6, iter=3530/40000, loss=0.3418, lr=0.009202, batch_cost=0.5429, reader_cost=0.0001 | ETA 05:29:57 2021-01-17 17:14:15 [INFO] [TRAIN] epoch=6, iter=3540/40000, loss=0.3814, lr=0.009200, batch_cost=0.5412, reader_cost=0.0001 | ETA 05:28:52 2021-01-17 17:14:21 [INFO] [TRAIN] epoch=6, iter=3550/40000, loss=0.6070, lr=0.009198, batch_cost=0.5432, reader_cost=0.0001 | ETA 05:30:00 2021-01-17 17:14:26 [INFO] [TRAIN] epoch=6, iter=3560/40000, loss=0.4453, lr=0.009196, batch_cost=0.5366, reader_cost=0.0001 | ETA 05:25:52 2021-01-17 17:14:31 [INFO] [TRAIN] epoch=6, iter=3570/40000, loss=0.4758, lr=0.009193, batch_cost=0.5393, reader_cost=0.0001 | ETA 05:27:27 2021-01-17 17:14:37 [INFO] [TRAIN] epoch=6, iter=3580/40000, loss=0.4370, lr=0.009191, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:25:45 2021-01-17 17:14:42 [INFO] [TRAIN] epoch=6, iter=3590/40000, loss=0.7319, lr=0.009189, batch_cost=0.5446, reader_cost=0.0001 | ETA 05:30:30 2021-01-17 17:14:48 [INFO] [TRAIN] epoch=6, iter=3600/40000, loss=0.4153, lr=0.009186, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:28:16 2021-01-17 17:14:53 [INFO] [TRAIN] epoch=6, iter=3610/40000, loss=0.7108, lr=0.009184, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:27:08 2021-01-17 17:14:58 [INFO] [TRAIN] epoch=6, iter=3620/40000, loss=0.4746, lr=0.009182, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:28:17 2021-01-17 17:15:04 [INFO] [TRAIN] epoch=6, iter=3630/40000, loss=0.4239, lr=0.009180, batch_cost=0.5402, reader_cost=0.0001 | ETA 05:27:26 2021-01-17 17:15:09 [INFO] [TRAIN] epoch=6, iter=3640/40000, loss=0.6019, lr=0.009177, batch_cost=0.5419, reader_cost=0.0001 | ETA 05:28:25 2021-01-17 17:15:15 [INFO] [TRAIN] epoch=6, iter=3650/40000, loss=0.4007, lr=0.009175, batch_cost=0.5402, reader_cost=0.0001 | ETA 05:27:17 2021-01-17 17:15:20 [INFO] [TRAIN] epoch=6, iter=3660/40000, loss=0.4161, lr=0.009173, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:25:07 2021-01-17 17:15:25 [INFO] [TRAIN] epoch=6, iter=3670/40000, loss=0.7141, lr=0.009171, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:25:07 2021-01-17 17:15:31 [INFO] [TRAIN] epoch=6, iter=3680/40000, loss=0.5185, lr=0.009168, batch_cost=0.5417, reader_cost=0.0001 | ETA 05:27:54 2021-01-17 17:15:36 [INFO] [TRAIN] epoch=6, iter=3690/40000, loss=0.3454, lr=0.009166, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:26:09 2021-01-17 17:15:42 [INFO] [TRAIN] epoch=6, iter=3700/40000, loss=0.4199, lr=0.009164, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:24:36 2021-01-17 17:15:47 [INFO] [TRAIN] epoch=6, iter=3710/40000, loss=0.4623, lr=0.009161, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:26:34 2021-01-17 17:15:52 [INFO] [TRAIN] epoch=6, iter=3720/40000, loss=0.6681, lr=0.009159, batch_cost=0.5347, reader_cost=0.0001 | ETA 05:23:17 2021-01-17 17:15:58 [INFO] [TRAIN] epoch=6, iter=3730/40000, loss=0.4366, lr=0.009157, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:27:17 2021-01-17 17:16:03 [INFO] [TRAIN] epoch=6, iter=3740/40000, loss=0.6715, lr=0.009155, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:26:21 2021-01-17 17:16:08 [INFO] [TRAIN] epoch=6, iter=3750/40000, loss=0.5206, lr=0.009152, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:25:17 2021-01-17 17:16:14 [INFO] [TRAIN] epoch=6, iter=3760/40000, loss=0.7031, lr=0.009150, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:25:25 2021-01-17 17:16:19 [INFO] [TRAIN] epoch=6, iter=3770/40000, loss=0.4149, lr=0.009148, batch_cost=0.5438, reader_cost=0.0001 | ETA 05:28:21 2021-01-17 17:16:25 [INFO] [TRAIN] epoch=6, iter=3780/40000, loss=0.4818, lr=0.009146, batch_cost=0.5347, reader_cost=0.0001 | ETA 05:22:45 2021-01-17 17:16:30 [INFO] [TRAIN] epoch=6, iter=3790/40000, loss=0.4137, lr=0.009143, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:24:56 2021-01-17 17:16:35 [INFO] [TRAIN] epoch=6, iter=3800/40000, loss=0.5928, lr=0.009141, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:25:15 2021-01-17 17:16:41 [INFO] [TRAIN] epoch=6, iter=3810/40000, loss=0.4666, lr=0.009139, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:23:41 2021-01-17 17:16:46 [INFO] [TRAIN] epoch=6, iter=3820/40000, loss=0.6362, lr=0.009136, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:23:59 2021-01-17 17:16:52 [INFO] [TRAIN] epoch=6, iter=3830/40000, loss=0.5081, lr=0.009134, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:25:03 2021-01-17 17:16:57 [INFO] [TRAIN] epoch=6, iter=3840/40000, loss=0.5522, lr=0.009132, batch_cost=0.5474, reader_cost=0.0001 | ETA 05:29:54 2021-01-17 17:17:02 [INFO] [TRAIN] epoch=6, iter=3850/40000, loss=0.5066, lr=0.009130, batch_cost=0.5403, reader_cost=0.0001 | ETA 05:25:33 2021-01-17 17:17:08 [INFO] [TRAIN] epoch=6, iter=3860/40000, loss=0.4116, lr=0.009127, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:24:16 2021-01-17 17:17:13 [INFO] [TRAIN] epoch=6, iter=3870/40000, loss=0.6196, lr=0.009125, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:23:13 2021-01-17 17:17:19 [INFO] [TRAIN] epoch=6, iter=3880/40000, loss=0.4388, lr=0.009123, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:24:56 2021-01-17 17:17:24 [INFO] [TRAIN] epoch=6, iter=3890/40000, loss=0.4729, lr=0.009121, batch_cost=0.5352, reader_cost=0.0001 | ETA 05:22:04 2021-01-17 17:17:29 [INFO] [TRAIN] epoch=6, iter=3900/40000, loss=0.5596, lr=0.009118, batch_cost=0.5442, reader_cost=0.0001 | ETA 05:27:26 2021-01-17 17:17:35 [INFO] [TRAIN] epoch=6, iter=3910/40000, loss=0.7035, lr=0.009116, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:23:13 2021-01-17 17:17:40 [INFO] [TRAIN] epoch=6, iter=3920/40000, loss=0.4188, lr=0.009114, batch_cost=0.5441, reader_cost=0.0001 | ETA 05:27:10 2021-01-17 17:17:46 [INFO] [TRAIN] epoch=6, iter=3930/40000, loss=0.4419, lr=0.009111, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:22:15 2021-01-17 17:17:51 [INFO] [TRAIN] epoch=6, iter=3940/40000, loss=0.5806, lr=0.009109, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:22:09 2021-01-17 17:17:56 [INFO] [TRAIN] epoch=6, iter=3950/40000, loss=0.4845, lr=0.009107, batch_cost=0.5390, reader_cost=0.0001 | ETA 05:23:50 2021-01-17 17:18:02 [INFO] [TRAIN] epoch=6, iter=3960/40000, loss=0.4572, lr=0.009105, batch_cost=0.5426, reader_cost=0.0001 | ETA 05:25:54 2021-01-17 17:18:07 [INFO] [TRAIN] epoch=7, iter=3970/40000, loss=0.4945, lr=0.009102, batch_cost=0.5305, reader_cost=0.0146 | ETA 05:18:33 2021-01-17 17:18:12 [INFO] [TRAIN] epoch=7, iter=3980/40000, loss=0.4025, lr=0.009100, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:23:31 2021-01-17 17:18:18 [INFO] [TRAIN] epoch=7, iter=3990/40000, loss=0.5641, lr=0.009098, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:24:57 2021-01-17 17:18:23 [INFO] [TRAIN] epoch=7, iter=4000/40000, loss=0.6176, lr=0.009096, batch_cost=0.5355, reader_cost=0.0001 | ETA 05:21:18 2021-01-17 17:18:23 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 17:18:43 [INFO] [EVAL] #Images=1449 mIoU=0.6834 Acc=0.9245 Kappa=0.8379 2021-01-17 17:18:44 [INFO] [EVAL] Class IoU: [0.9216 0.6681 0.3703 0.798 0.6332 0.6587 0.7881 0.7636 0.8528 0.3051 0.8175 0.6002 0.7347 0.8161 0.7515 0.8204 0.5646 0.7332 0.4351 0.6957 0.6221] 2021-01-17 17:18:44 [INFO] [EVAL] Class Acc: [0.9676 0.6769 0.3882 0.8736 0.7281 0.7558 0.9209 0.8168 0.8933 0.6055 0.9078 0.7324 0.8111 0.8948 0.874 0.8821 0.7788 0.9532 0.7951 0.711 0.6904] 2021-01-17 17:18:47 [INFO] [EVAL] The model with the best validation mIoU (0.6884) was saved at iter 3000. 2021-01-17 17:18:53 [INFO] [TRAIN] epoch=7, iter=4010/40000, loss=0.6228, lr=0.009093, batch_cost=0.5335, reader_cost=0.0001 | ETA 05:20:00 2021-01-17 17:18:58 [INFO] [TRAIN] epoch=7, iter=4020/40000, loss=0.5086, lr=0.009091, batch_cost=0.5353, reader_cost=0.0001 | ETA 05:20:58 2021-01-17 17:19:03 [INFO] [TRAIN] epoch=7, iter=4030/40000, loss=0.4273, lr=0.009089, batch_cost=0.5349, reader_cost=0.0001 | ETA 05:20:40 2021-01-17 17:19:09 [INFO] [TRAIN] epoch=7, iter=4040/40000, loss=0.5302, lr=0.009086, batch_cost=0.5383, reader_cost=0.0001 | ETA 05:22:35 2021-01-17 17:19:14 [INFO] [TRAIN] epoch=7, iter=4050/40000, loss=0.5670, lr=0.009084, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:22:17 2021-01-17 17:19:20 [INFO] [TRAIN] epoch=7, iter=4060/40000, loss=0.3346, lr=0.009082, batch_cost=0.5450, reader_cost=0.0001 | ETA 05:26:25 2021-01-17 17:19:25 [INFO] [TRAIN] epoch=7, iter=4070/40000, loss=0.5553, lr=0.009080, batch_cost=0.5370, reader_cost=0.0001 | ETA 05:21:35 2021-01-17 17:19:30 [INFO] [TRAIN] epoch=7, iter=4080/40000, loss=0.4529, lr=0.009077, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:23:02 2021-01-17 17:19:36 [INFO] [TRAIN] epoch=7, iter=4090/40000, loss=0.6553, lr=0.009075, batch_cost=0.5432, reader_cost=0.0001 | ETA 05:25:05 2021-01-17 17:19:41 [INFO] [TRAIN] epoch=7, iter=4100/40000, loss=0.3927, lr=0.009073, batch_cost=0.5422, reader_cost=0.0001 | ETA 05:24:23 2021-01-17 17:19:47 [INFO] [TRAIN] epoch=7, iter=4110/40000, loss=0.5359, lr=0.009071, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:22:38 2021-01-17 17:19:52 [INFO] [TRAIN] epoch=7, iter=4120/40000, loss=0.3883, lr=0.009068, batch_cost=0.5436, reader_cost=0.0001 | ETA 05:25:03 2021-01-17 17:19:57 [INFO] [TRAIN] epoch=7, iter=4130/40000, loss=0.5909, lr=0.009066, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:22:54 2021-01-17 17:20:03 [INFO] [TRAIN] epoch=7, iter=4140/40000, loss=0.4522, lr=0.009064, batch_cost=0.5436, reader_cost=0.0001 | ETA 05:24:54 2021-01-17 17:20:08 [INFO] [TRAIN] epoch=7, iter=4150/40000, loss=0.5518, lr=0.009061, batch_cost=0.5438, reader_cost=0.0001 | ETA 05:24:53 2021-01-17 17:20:14 [INFO] [TRAIN] epoch=7, iter=4160/40000, loss=0.4454, lr=0.009059, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:21:05 2021-01-17 17:20:19 [INFO] [TRAIN] epoch=7, iter=4170/40000, loss=0.5053, lr=0.009057, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:23:09 2021-01-17 17:20:25 [INFO] [TRAIN] epoch=7, iter=4180/40000, loss=0.4149, lr=0.009055, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:20:10 2021-01-17 17:20:30 [INFO] [TRAIN] epoch=7, iter=4190/40000, loss=0.9172, lr=0.009052, batch_cost=0.5319, reader_cost=0.0001 | ETA 05:17:28 2021-01-17 17:20:35 [INFO] [TRAIN] epoch=7, iter=4200/40000, loss=0.4698, lr=0.009050, batch_cost=0.5340, reader_cost=0.0001 | ETA 05:18:38 2021-01-17 17:20:41 [INFO] [TRAIN] epoch=7, iter=4210/40000, loss=0.6379, lr=0.009048, batch_cost=0.5416, reader_cost=0.0001 | ETA 05:23:03 2021-01-17 17:20:46 [INFO] [TRAIN] epoch=7, iter=4220/40000, loss=0.5638, lr=0.009046, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:21:39 2021-01-17 17:20:51 [INFO] [TRAIN] epoch=7, iter=4230/40000, loss=0.4987, lr=0.009043, batch_cost=0.5367, reader_cost=0.0001 | ETA 05:19:57 2021-01-17 17:20:57 [INFO] [TRAIN] epoch=7, iter=4240/40000, loss=0.4138, lr=0.009041, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:20:22 2021-01-17 17:21:02 [INFO] [TRAIN] epoch=7, iter=4250/40000, loss=0.4837, lr=0.009039, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:20:50 2021-01-17 17:21:07 [INFO] [TRAIN] epoch=7, iter=4260/40000, loss=0.5788, lr=0.009036, batch_cost=0.5317, reader_cost=0.0001 | ETA 05:16:41 2021-01-17 17:21:13 [INFO] [TRAIN] epoch=7, iter=4270/40000, loss=0.6690, lr=0.009034, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:21:19 2021-01-17 17:21:18 [INFO] [TRAIN] epoch=7, iter=4280/40000, loss=0.4704, lr=0.009032, batch_cost=0.5433, reader_cost=0.0001 | ETA 05:23:26 2021-01-17 17:21:24 [INFO] [TRAIN] epoch=7, iter=4290/40000, loss=0.3990, lr=0.009030, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:19:52 2021-01-17 17:21:29 [INFO] [TRAIN] epoch=7, iter=4300/40000, loss=0.6242, lr=0.009027, batch_cost=0.5423, reader_cost=0.0001 | ETA 05:22:40 2021-01-17 17:21:34 [INFO] [TRAIN] epoch=7, iter=4310/40000, loss=0.7205, lr=0.009025, batch_cost=0.5407, reader_cost=0.0001 | ETA 05:21:37 2021-01-17 17:21:40 [INFO] [TRAIN] epoch=7, iter=4320/40000, loss=0.6565, lr=0.009023, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:20:23 2021-01-17 17:21:45 [INFO] [TRAIN] epoch=7, iter=4330/40000, loss=0.5358, lr=0.009020, batch_cost=0.5392, reader_cost=0.0001 | ETA 05:20:32 2021-01-17 17:21:51 [INFO] [TRAIN] epoch=7, iter=4340/40000, loss=0.6457, lr=0.009018, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:19:32 2021-01-17 17:21:56 [INFO] [TRAIN] epoch=7, iter=4350/40000, loss=0.6659, lr=0.009016, batch_cost=0.5377, reader_cost=0.0001 | ETA 05:19:30 2021-01-17 17:22:01 [INFO] [TRAIN] epoch=7, iter=4360/40000, loss=0.5838, lr=0.009014, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:18:54 2021-01-17 17:22:07 [INFO] [TRAIN] epoch=7, iter=4370/40000, loss=0.5337, lr=0.009011, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:19:55 2021-01-17 17:22:12 [INFO] [TRAIN] epoch=7, iter=4380/40000, loss=0.5709, lr=0.009009, batch_cost=0.5423, reader_cost=0.0001 | ETA 05:21:56 2021-01-17 17:22:18 [INFO] [TRAIN] epoch=7, iter=4390/40000, loss=0.5517, lr=0.009007, batch_cost=0.5420, reader_cost=0.0001 | ETA 05:21:40 2021-01-17 17:22:23 [INFO] [TRAIN] epoch=7, iter=4400/40000, loss=0.3943, lr=0.009005, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:18:01 2021-01-17 17:22:28 [INFO] [TRAIN] epoch=7, iter=4410/40000, loss=0.3050, lr=0.009002, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:18:45 2021-01-17 17:22:34 [INFO] [TRAIN] epoch=7, iter=4420/40000, loss=0.6426, lr=0.009000, batch_cost=0.5450, reader_cost=0.0001 | ETA 05:23:11 2021-01-17 17:22:39 [INFO] [TRAIN] epoch=7, iter=4430/40000, loss=0.5075, lr=0.008998, batch_cost=0.5428, reader_cost=0.0001 | ETA 05:21:49 2021-01-17 17:22:45 [INFO] [TRAIN] epoch=7, iter=4440/40000, loss=0.6091, lr=0.008995, batch_cost=0.5402, reader_cost=0.0001 | ETA 05:20:08 2021-01-17 17:22:50 [INFO] [TRAIN] epoch=7, iter=4450/40000, loss=0.5962, lr=0.008993, batch_cost=0.5425, reader_cost=0.0001 | ETA 05:21:24 2021-01-17 17:22:55 [INFO] [TRAIN] epoch=7, iter=4460/40000, loss=0.4671, lr=0.008991, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:18:17 2021-01-17 17:23:01 [INFO] [TRAIN] epoch=7, iter=4470/40000, loss=0.4291, lr=0.008989, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:17:13 2021-01-17 17:23:06 [INFO] [TRAIN] epoch=7, iter=4480/40000, loss=0.3533, lr=0.008986, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:17:36 2021-01-17 17:23:12 [INFO] [TRAIN] epoch=7, iter=4490/40000, loss=0.7007, lr=0.008984, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:18:28 2021-01-17 17:23:17 [INFO] [TRAIN] epoch=7, iter=4500/40000, loss=0.4778, lr=0.008982, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:18:43 2021-01-17 17:23:22 [INFO] [TRAIN] epoch=7, iter=4510/40000, loss=0.4940, lr=0.008980, batch_cost=0.5399, reader_cost=0.0001 | ETA 05:19:22 2021-01-17 17:23:28 [INFO] [TRAIN] epoch=7, iter=4520/40000, loss=0.4021, lr=0.008977, batch_cost=0.5429, reader_cost=0.0001 | ETA 05:21:02 2021-01-17 17:23:33 [INFO] [TRAIN] epoch=7, iter=4530/40000, loss=0.5911, lr=0.008975, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:17:43 2021-01-17 17:23:39 [INFO] [TRAIN] epoch=7, iter=4540/40000, loss=0.5596, lr=0.008973, batch_cost=0.5377, reader_cost=0.0001 | ETA 05:17:46 2021-01-17 17:23:44 [INFO] [TRAIN] epoch=7, iter=4550/40000, loss=0.4623, lr=0.008970, batch_cost=0.5436, reader_cost=0.0001 | ETA 05:21:10 2021-01-17 17:23:49 [INFO] [TRAIN] epoch=7, iter=4560/40000, loss=0.4565, lr=0.008968, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:17:14 2021-01-17 17:23:55 [INFO] [TRAIN] epoch=7, iter=4570/40000, loss=0.4632, lr=0.008966, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:17:38 2021-01-17 17:24:00 [INFO] [TRAIN] epoch=7, iter=4580/40000, loss=0.3651, lr=0.008964, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:16:15 2021-01-17 17:24:05 [INFO] [TRAIN] epoch=7, iter=4590/40000, loss=0.5222, lr=0.008961, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:17:17 2021-01-17 17:24:11 [INFO] [TRAIN] epoch=7, iter=4600/40000, loss=0.5392, lr=0.008959, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:17:38 2021-01-17 17:24:16 [INFO] [TRAIN] epoch=7, iter=4610/40000, loss=0.5737, lr=0.008957, batch_cost=0.5383, reader_cost=0.0001 | ETA 05:17:28 2021-01-17 17:24:22 [INFO] [TRAIN] epoch=7, iter=4620/40000, loss=0.3807, lr=0.008954, batch_cost=0.5349, reader_cost=0.0001 | ETA 05:15:23 2021-01-17 17:24:27 [INFO] [TRAIN] epoch=8, iter=4630/40000, loss=0.6065, lr=0.008952, batch_cost=0.5313, reader_cost=0.0164 | ETA 05:13:11 2021-01-17 17:24:32 [INFO] [TRAIN] epoch=8, iter=4640/40000, loss=0.5418, lr=0.008950, batch_cost=0.5415, reader_cost=0.0001 | ETA 05:19:08 2021-01-17 17:24:38 [INFO] [TRAIN] epoch=8, iter=4650/40000, loss=0.5421, lr=0.008948, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:17:26 2021-01-17 17:24:43 [INFO] [TRAIN] epoch=8, iter=4660/40000, loss=0.6327, lr=0.008945, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:15:41 2021-01-17 17:24:48 [INFO] [TRAIN] epoch=8, iter=4670/40000, loss=0.5790, lr=0.008943, batch_cost=0.5335, reader_cost=0.0001 | ETA 05:14:09 2021-01-17 17:24:54 [INFO] [TRAIN] epoch=8, iter=4680/40000, loss=0.3870, lr=0.008941, batch_cost=0.5391, reader_cost=0.0001 | ETA 05:17:19 2021-01-17 17:24:59 [INFO] [TRAIN] epoch=8, iter=4690/40000, loss=0.5201, lr=0.008939, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:15:55 2021-01-17 17:25:05 [INFO] [TRAIN] epoch=8, iter=4700/40000, loss=0.5345, lr=0.008936, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:18:18 2021-01-17 17:25:10 [INFO] [TRAIN] epoch=8, iter=4710/40000, loss=0.4734, lr=0.008934, batch_cost=0.5343, reader_cost=0.0001 | ETA 05:14:15 2021-01-17 17:25:15 [INFO] [TRAIN] epoch=8, iter=4720/40000, loss=0.6473, lr=0.008932, batch_cost=0.5360, reader_cost=0.0001 | ETA 05:15:08 2021-01-17 17:25:21 [INFO] [TRAIN] epoch=8, iter=4730/40000, loss=0.5278, lr=0.008929, batch_cost=0.5355, reader_cost=0.0001 | ETA 05:14:48 2021-01-17 17:25:26 [INFO] [TRAIN] epoch=8, iter=4740/40000, loss=0.5859, lr=0.008927, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:16:05 2021-01-17 17:25:31 [INFO] [TRAIN] epoch=8, iter=4750/40000, loss=0.5774, lr=0.008925, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:17:47 2021-01-17 17:25:37 [INFO] [TRAIN] epoch=8, iter=4760/40000, loss=0.5277, lr=0.008923, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:16:53 2021-01-17 17:25:42 [INFO] [TRAIN] epoch=8, iter=4770/40000, loss=0.5788, lr=0.008920, batch_cost=0.5437, reader_cost=0.0001 | ETA 05:19:13 2021-01-17 17:25:48 [INFO] [TRAIN] epoch=8, iter=4780/40000, loss=0.4484, lr=0.008918, batch_cost=0.5336, reader_cost=0.0001 | ETA 05:13:13 2021-01-17 17:25:53 [INFO] [TRAIN] epoch=8, iter=4790/40000, loss=0.5589, lr=0.008916, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:15:18 2021-01-17 17:25:58 [INFO] [TRAIN] epoch=8, iter=4800/40000, loss=0.5664, lr=0.008913, batch_cost=0.5383, reader_cost=0.0001 | ETA 05:15:47 2021-01-17 17:26:04 [INFO] [TRAIN] epoch=8, iter=4810/40000, loss=0.6215, lr=0.008911, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:15:15 2021-01-17 17:26:09 [INFO] [TRAIN] epoch=8, iter=4820/40000, loss=0.4860, lr=0.008909, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:16:22 2021-01-17 17:26:14 [INFO] [TRAIN] epoch=8, iter=4830/40000, loss=0.5814, lr=0.008907, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:14:51 2021-01-17 17:26:20 [INFO] [TRAIN] epoch=8, iter=4840/40000, loss=0.5037, lr=0.008904, batch_cost=0.5342, reader_cost=0.0001 | ETA 05:13:03 2021-01-17 17:26:25 [INFO] [TRAIN] epoch=8, iter=4850/40000, loss=0.3650, lr=0.008902, batch_cost=0.5417, reader_cost=0.0001 | ETA 05:17:19 2021-01-17 17:26:31 [INFO] [TRAIN] epoch=8, iter=4860/40000, loss=0.5723, lr=0.008900, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:15:37 2021-01-17 17:26:36 [INFO] [TRAIN] epoch=8, iter=4870/40000, loss=0.6146, lr=0.008897, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:16:47 2021-01-17 17:26:41 [INFO] [TRAIN] epoch=8, iter=4880/40000, loss=0.7483, lr=0.008895, batch_cost=0.5444, reader_cost=0.0001 | ETA 05:18:37 2021-01-17 17:26:47 [INFO] [TRAIN] epoch=8, iter=4890/40000, loss=0.4208, lr=0.008893, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:16:37 2021-01-17 17:26:52 [INFO] [TRAIN] epoch=8, iter=4900/40000, loss=0.5097, lr=0.008891, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:14:46 2021-01-17 17:26:58 [INFO] [TRAIN] epoch=8, iter=4910/40000, loss=0.3644, lr=0.008888, batch_cost=0.5412, reader_cost=0.0001 | ETA 05:16:30 2021-01-17 17:27:03 [INFO] [TRAIN] epoch=8, iter=4920/40000, loss=0.3847, lr=0.008886, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:16:14 2021-01-17 17:27:08 [INFO] [TRAIN] epoch=8, iter=4930/40000, loss=0.5414, lr=0.008884, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:14:24 2021-01-17 17:27:14 [INFO] [TRAIN] epoch=8, iter=4940/40000, loss=0.5939, lr=0.008882, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:15:36 2021-01-17 17:27:19 [INFO] [TRAIN] epoch=8, iter=4950/40000, loss=0.4679, lr=0.008879, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:14:17 2021-01-17 17:27:25 [INFO] [TRAIN] epoch=8, iter=4960/40000, loss=0.5035, lr=0.008877, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:14:11 2021-01-17 17:27:30 [INFO] [TRAIN] epoch=8, iter=4970/40000, loss=0.5289, lr=0.008875, batch_cost=0.5378, reader_cost=0.0001 | ETA 05:14:00 2021-01-17 17:27:35 [INFO] [TRAIN] epoch=8, iter=4980/40000, loss=0.5645, lr=0.008872, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:13:35 2021-01-17 17:27:41 [INFO] [TRAIN] epoch=8, iter=4990/40000, loss=0.7753, lr=0.008870, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:13:58 2021-01-17 17:27:46 [INFO] [TRAIN] epoch=8, iter=5000/40000, loss=0.5190, lr=0.008868, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:16:12 2021-01-17 17:27:46 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 17:28:07 [INFO] [EVAL] #Images=1449 mIoU=0.7101 Acc=0.9328 Kappa=0.8485 2021-01-17 17:28:07 [INFO] [EVAL] Class IoU: [0.9286 0.8745 0.4113 0.8867 0.612 0.7592 0.8825 0.8106 0.8533 0.356 0.7981 0.1905 0.7559 0.8431 0.8228 0.8228 0.5182 0.8352 0.4766 0.813 0.6618] 2021-01-17 17:28:07 [INFO] [EVAL] Class Acc: [0.9512 0.9041 0.4385 0.954 0.8099 0.8621 0.9586 0.9443 0.9583 0.5419 0.9144 0.8792 0.8223 0.9047 0.9072 0.9496 0.8493 0.9464 0.6661 0.9105 0.8433] 2021-01-17 17:28:13 [INFO] [EVAL] The model with the best validation mIoU (0.7101) was saved at iter 5000. 2021-01-17 17:28:18 [INFO] [TRAIN] epoch=8, iter=5010/40000, loss=0.5526, lr=0.008866, batch_cost=0.5340, reader_cost=0.0001 | ETA 05:11:24 2021-01-17 17:28:24 [INFO] [TRAIN] epoch=8, iter=5020/40000, loss=0.5274, lr=0.008863, batch_cost=0.5337, reader_cost=0.0001 | ETA 05:11:09 2021-01-17 17:28:29 [INFO] [TRAIN] epoch=8, iter=5030/40000, loss=0.4143, lr=0.008861, batch_cost=0.5430, reader_cost=0.0001 | ETA 05:16:27 2021-01-17 17:28:35 [INFO] [TRAIN] epoch=8, iter=5040/40000, loss=0.3203, lr=0.008859, batch_cost=0.5435, reader_cost=0.0001 | ETA 05:16:40 2021-01-17 17:28:40 [INFO] [TRAIN] epoch=8, iter=5050/40000, loss=0.4907, lr=0.008856, batch_cost=0.5450, reader_cost=0.0001 | ETA 05:17:26 2021-01-17 17:28:46 [INFO] [TRAIN] epoch=8, iter=5060/40000, loss=0.3493, lr=0.008854, batch_cost=0.5467, reader_cost=0.0001 | ETA 05:18:20 2021-01-17 17:28:51 [INFO] [TRAIN] epoch=8, iter=5070/40000, loss=0.5480, lr=0.008852, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:13:12 2021-01-17 17:28:56 [INFO] [TRAIN] epoch=8, iter=5080/40000, loss=0.4542, lr=0.008850, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:15:28 2021-01-17 17:29:02 [INFO] [TRAIN] epoch=8, iter=5090/40000, loss=0.7442, lr=0.008847, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:13:25 2021-01-17 17:29:07 [INFO] [TRAIN] epoch=8, iter=5100/40000, loss=0.4606, lr=0.008845, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:14:04 2021-01-17 17:29:13 [INFO] [TRAIN] epoch=8, iter=5110/40000, loss=0.4504, lr=0.008843, batch_cost=0.5422, reader_cost=0.0001 | ETA 05:15:18 2021-01-17 17:29:18 [INFO] [TRAIN] epoch=8, iter=5120/40000, loss=0.3797, lr=0.008840, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:13:16 2021-01-17 17:29:23 [INFO] [TRAIN] epoch=8, iter=5130/40000, loss=0.6008, lr=0.008838, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:14:05 2021-01-17 17:29:29 [INFO] [TRAIN] epoch=8, iter=5140/40000, loss=0.3309, lr=0.008836, batch_cost=0.5394, reader_cost=0.0001 | ETA 05:13:23 2021-01-17 17:29:34 [INFO] [TRAIN] epoch=8, iter=5150/40000, loss=0.6271, lr=0.008834, batch_cost=0.5377, reader_cost=0.0001 | ETA 05:12:20 2021-01-17 17:29:40 [INFO] [TRAIN] epoch=8, iter=5160/40000, loss=0.5833, lr=0.008831, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:13:59 2021-01-17 17:29:45 [INFO] [TRAIN] epoch=8, iter=5170/40000, loss=0.3909, lr=0.008829, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:13:44 2021-01-17 17:29:50 [INFO] [TRAIN] epoch=8, iter=5180/40000, loss=0.4149, lr=0.008827, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:13:54 2021-01-17 17:29:56 [INFO] [TRAIN] epoch=8, iter=5190/40000, loss=0.4251, lr=0.008825, batch_cost=0.5344, reader_cost=0.0001 | ETA 05:10:01 2021-01-17 17:30:01 [INFO] [TRAIN] epoch=8, iter=5200/40000, loss=0.3818, lr=0.008822, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:11:59 2021-01-17 17:30:06 [INFO] [TRAIN] epoch=8, iter=5210/40000, loss=0.6146, lr=0.008820, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:11:30 2021-01-17 17:30:12 [INFO] [TRAIN] epoch=8, iter=5220/40000, loss=0.3524, lr=0.008818, batch_cost=0.5419, reader_cost=0.0001 | ETA 05:14:07 2021-01-17 17:30:17 [INFO] [TRAIN] epoch=8, iter=5230/40000, loss=0.4184, lr=0.008815, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:10:48 2021-01-17 17:30:23 [INFO] [TRAIN] epoch=8, iter=5240/40000, loss=0.4595, lr=0.008813, batch_cost=0.5348, reader_cost=0.0001 | ETA 05:09:50 2021-01-17 17:30:28 [INFO] [TRAIN] epoch=8, iter=5250/40000, loss=0.5546, lr=0.008811, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:11:52 2021-01-17 17:30:33 [INFO] [TRAIN] epoch=8, iter=5260/40000, loss=0.3781, lr=0.008809, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:10:31 2021-01-17 17:30:39 [INFO] [TRAIN] epoch=8, iter=5270/40000, loss=0.4601, lr=0.008806, batch_cost=0.5369, reader_cost=0.0001 | ETA 05:10:47 2021-01-17 17:30:44 [INFO] [TRAIN] epoch=8, iter=5280/40000, loss=0.5516, lr=0.008804, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:11:15 2021-01-17 17:30:49 [INFO] [TRAIN] epoch=9, iter=5290/40000, loss=0.5028, lr=0.008802, batch_cost=0.5333, reader_cost=0.0158 | ETA 05:08:31 2021-01-17 17:30:55 [INFO] [TRAIN] epoch=9, iter=5300/40000, loss=0.8847, lr=0.008799, batch_cost=0.5451, reader_cost=0.0001 | ETA 05:15:14 2021-01-17 17:31:00 [INFO] [TRAIN] epoch=9, iter=5310/40000, loss=0.4906, lr=0.008797, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:13:45 2021-01-17 17:31:06 [INFO] [TRAIN] epoch=9, iter=5320/40000, loss=0.7217, lr=0.008795, batch_cost=0.5354, reader_cost=0.0001 | ETA 05:09:26 2021-01-17 17:31:11 [INFO] [TRAIN] epoch=9, iter=5330/40000, loss=0.5775, lr=0.008793, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:10:36 2021-01-17 17:31:16 [INFO] [TRAIN] epoch=9, iter=5340/40000, loss=0.4156, lr=0.008790, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:10:51 2021-01-17 17:31:22 [INFO] [TRAIN] epoch=9, iter=5350/40000, loss=0.4883, lr=0.008788, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:09:50 2021-01-17 17:31:27 [INFO] [TRAIN] epoch=9, iter=5360/40000, loss=0.3665, lr=0.008786, batch_cost=0.5366, reader_cost=0.0001 | ETA 05:09:47 2021-01-17 17:31:33 [INFO] [TRAIN] epoch=9, iter=5370/40000, loss=0.3991, lr=0.008783, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:09:49 2021-01-17 17:31:38 [INFO] [TRAIN] epoch=9, iter=5380/40000, loss=0.4957, lr=0.008781, batch_cost=0.5434, reader_cost=0.0001 | ETA 05:13:31 2021-01-17 17:31:43 [INFO] [TRAIN] epoch=9, iter=5390/40000, loss=0.6020, lr=0.008779, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:10:02 2021-01-17 17:31:49 [INFO] [TRAIN] epoch=9, iter=5400/40000, loss=0.3727, lr=0.008777, batch_cost=0.5390, reader_cost=0.0001 | ETA 05:10:49 2021-01-17 17:31:54 [INFO] [TRAIN] epoch=9, iter=5410/40000, loss=0.4737, lr=0.008774, batch_cost=0.5377, reader_cost=0.0001 | ETA 05:10:00 2021-01-17 17:31:59 [INFO] [TRAIN] epoch=9, iter=5420/40000, loss=0.3824, lr=0.008772, batch_cost=0.5374, reader_cost=0.0001 | ETA 05:09:44 2021-01-17 17:32:05 [INFO] [TRAIN] epoch=9, iter=5430/40000, loss=0.5202, lr=0.008770, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:09:17 2021-01-17 17:32:10 [INFO] [TRAIN] epoch=9, iter=5440/40000, loss=0.5474, lr=0.008767, batch_cost=0.5440, reader_cost=0.0001 | ETA 05:13:21 2021-01-17 17:32:16 [INFO] [TRAIN] epoch=9, iter=5450/40000, loss=0.5934, lr=0.008765, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:11:46 2021-01-17 17:32:21 [INFO] [TRAIN] epoch=9, iter=5460/40000, loss=0.6308, lr=0.008763, batch_cost=0.5364, reader_cost=0.0001 | ETA 05:08:46 2021-01-17 17:32:26 [INFO] [TRAIN] epoch=9, iter=5470/40000, loss=0.4840, lr=0.008761, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:09:21 2021-01-17 17:32:32 [INFO] [TRAIN] epoch=9, iter=5480/40000, loss=0.4810, lr=0.008758, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:09:26 2021-01-17 17:32:37 [INFO] [TRAIN] epoch=9, iter=5490/40000, loss=0.4861, lr=0.008756, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:10:36 2021-01-17 17:32:43 [INFO] [TRAIN] epoch=9, iter=5500/40000, loss=0.8038, lr=0.008754, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:08:28 2021-01-17 17:32:48 [INFO] [TRAIN] epoch=9, iter=5510/40000, loss=0.5160, lr=0.008751, batch_cost=0.5353, reader_cost=0.0001 | ETA 05:07:43 2021-01-17 17:32:53 [INFO] [TRAIN] epoch=9, iter=5520/40000, loss=0.5256, lr=0.008749, batch_cost=0.5389, reader_cost=0.0001 | ETA 05:09:42 2021-01-17 17:32:59 [INFO] [TRAIN] epoch=9, iter=5530/40000, loss=0.3921, lr=0.008747, batch_cost=0.5377, reader_cost=0.0001 | ETA 05:08:54 2021-01-17 17:33:04 [INFO] [TRAIN] epoch=9, iter=5540/40000, loss=0.6401, lr=0.008745, batch_cost=0.5332, reader_cost=0.0001 | ETA 05:06:15 2021-01-17 17:33:09 [INFO] [TRAIN] epoch=9, iter=5550/40000, loss=0.3620, lr=0.008742, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:10:35 2021-01-17 17:33:15 [INFO] [TRAIN] epoch=9, iter=5560/40000, loss=0.4311, lr=0.008740, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:08:55 2021-01-17 17:33:20 [INFO] [TRAIN] epoch=9, iter=5570/40000, loss=0.3908, lr=0.008738, batch_cost=0.5341, reader_cost=0.0001 | ETA 05:06:28 2021-01-17 17:33:26 [INFO] [TRAIN] epoch=9, iter=5580/40000, loss=0.4333, lr=0.008735, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:08:55 2021-01-17 17:33:31 [INFO] [TRAIN] epoch=9, iter=5590/40000, loss=0.3859, lr=0.008733, batch_cost=0.5342, reader_cost=0.0001 | ETA 05:06:20 2021-01-17 17:33:36 [INFO] [TRAIN] epoch=9, iter=5600/40000, loss=0.3941, lr=0.008731, batch_cost=0.5423, reader_cost=0.0001 | ETA 05:10:55 2021-01-17 17:33:42 [INFO] [TRAIN] epoch=9, iter=5610/40000, loss=0.4249, lr=0.008729, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:10:06 2021-01-17 17:33:47 [INFO] [TRAIN] epoch=9, iter=5620/40000, loss=0.3628, lr=0.008726, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:09:53 2021-01-17 17:33:53 [INFO] [TRAIN] epoch=9, iter=5630/40000, loss=0.4534, lr=0.008724, batch_cost=0.5448, reader_cost=0.0001 | ETA 05:12:05 2021-01-17 17:33:58 [INFO] [TRAIN] epoch=9, iter=5640/40000, loss=0.5044, lr=0.008722, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:09:19 2021-01-17 17:34:03 [INFO] [TRAIN] epoch=9, iter=5650/40000, loss=0.4401, lr=0.008719, batch_cost=0.5420, reader_cost=0.0001 | ETA 05:10:18 2021-01-17 17:34:09 [INFO] [TRAIN] epoch=9, iter=5660/40000, loss=0.6422, lr=0.008717, batch_cost=0.5417, reader_cost=0.0001 | ETA 05:10:01 2021-01-17 17:34:14 [INFO] [TRAIN] epoch=9, iter=5670/40000, loss=0.5503, lr=0.008715, batch_cost=0.5376, reader_cost=0.0001 | ETA 05:07:34 2021-01-17 17:34:20 [INFO] [TRAIN] epoch=9, iter=5680/40000, loss=0.4395, lr=0.008713, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:07:17 2021-01-17 17:34:25 [INFO] [TRAIN] epoch=9, iter=5690/40000, loss=0.4757, lr=0.008710, batch_cost=0.5444, reader_cost=0.0001 | ETA 05:11:17 2021-01-17 17:34:30 [INFO] [TRAIN] epoch=9, iter=5700/40000, loss=0.4551, lr=0.008708, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:10:13 2021-01-17 17:34:36 [INFO] [TRAIN] epoch=9, iter=5710/40000, loss=0.4973, lr=0.008706, batch_cost=0.5379, reader_cost=0.0001 | ETA 05:07:24 2021-01-17 17:34:41 [INFO] [TRAIN] epoch=9, iter=5720/40000, loss=0.5467, lr=0.008704, batch_cost=0.5474, reader_cost=0.0001 | ETA 05:12:46 2021-01-17 17:34:47 [INFO] [TRAIN] epoch=9, iter=5730/40000, loss=0.4933, lr=0.008701, batch_cost=0.5419, reader_cost=0.0001 | ETA 05:09:29 2021-01-17 17:34:52 [INFO] [TRAIN] epoch=9, iter=5740/40000, loss=0.3461, lr=0.008699, batch_cost=0.5404, reader_cost=0.0001 | ETA 05:08:34 2021-01-17 17:34:58 [INFO] [TRAIN] epoch=9, iter=5750/40000, loss=0.4132, lr=0.008697, batch_cost=0.5365, reader_cost=0.0001 | ETA 05:06:16 2021-01-17 17:35:03 [INFO] [TRAIN] epoch=9, iter=5760/40000, loss=0.4196, lr=0.008694, batch_cost=0.5442, reader_cost=0.0001 | ETA 05:10:32 2021-01-17 17:35:08 [INFO] [TRAIN] epoch=9, iter=5770/40000, loss=0.5331, lr=0.008692, batch_cost=0.5383, reader_cost=0.0001 | ETA 05:07:05 2021-01-17 17:35:14 [INFO] [TRAIN] epoch=9, iter=5780/40000, loss=0.3645, lr=0.008690, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:08:28 2021-01-17 17:35:19 [INFO] [TRAIN] epoch=9, iter=5790/40000, loss=0.5353, lr=0.008688, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:08:41 2021-01-17 17:35:25 [INFO] [TRAIN] epoch=9, iter=5800/40000, loss=0.3651, lr=0.008685, batch_cost=0.5390, reader_cost=0.0001 | ETA 05:07:14 2021-01-17 17:35:30 [INFO] [TRAIN] epoch=9, iter=5810/40000, loss=0.5305, lr=0.008683, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:05:35 2021-01-17 17:35:35 [INFO] [TRAIN] epoch=9, iter=5820/40000, loss=0.4206, lr=0.008681, batch_cost=0.5427, reader_cost=0.0001 | ETA 05:09:08 2021-01-17 17:35:41 [INFO] [TRAIN] epoch=9, iter=5830/40000, loss=0.6257, lr=0.008678, batch_cost=0.5438, reader_cost=0.0001 | ETA 05:09:43 2021-01-17 17:35:46 [INFO] [TRAIN] epoch=9, iter=5840/40000, loss=0.3702, lr=0.008676, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:06:00 2021-01-17 17:35:52 [INFO] [TRAIN] epoch=9, iter=5850/40000, loss=0.5391, lr=0.008674, batch_cost=0.5426, reader_cost=0.0001 | ETA 05:08:48 2021-01-17 17:35:57 [INFO] [TRAIN] epoch=9, iter=5860/40000, loss=0.4089, lr=0.008672, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:07:07 2021-01-17 17:36:02 [INFO] [TRAIN] epoch=9, iter=5870/40000, loss=0.5986, lr=0.008669, batch_cost=0.5429, reader_cost=0.0001 | ETA 05:08:48 2021-01-17 17:36:08 [INFO] [TRAIN] epoch=9, iter=5880/40000, loss=0.5606, lr=0.008667, batch_cost=0.5403, reader_cost=0.0001 | ETA 05:07:16 2021-01-17 17:36:13 [INFO] [TRAIN] epoch=9, iter=5890/40000, loss=0.4401, lr=0.008665, batch_cost=0.5399, reader_cost=0.0001 | ETA 05:06:56 2021-01-17 17:36:19 [INFO] [TRAIN] epoch=9, iter=5900/40000, loss=0.4401, lr=0.008662, batch_cost=0.5409, reader_cost=0.0001 | ETA 05:07:23 2021-01-17 17:36:24 [INFO] [TRAIN] epoch=9, iter=5910/40000, loss=0.4384, lr=0.008660, batch_cost=0.5405, reader_cost=0.0001 | ETA 05:07:05 2021-01-17 17:36:29 [INFO] [TRAIN] epoch=9, iter=5920/40000, loss=0.5249, lr=0.008658, batch_cost=0.5396, reader_cost=0.0001 | ETA 05:06:28 2021-01-17 17:36:35 [INFO] [TRAIN] epoch=9, iter=5930/40000, loss=0.4894, lr=0.008656, batch_cost=0.5395, reader_cost=0.0001 | ETA 05:06:19 2021-01-17 17:36:40 [INFO] [TRAIN] epoch=9, iter=5940/40000, loss=0.5470, lr=0.008653, batch_cost=0.5416, reader_cost=0.0001 | ETA 05:07:25 2021-01-17 17:36:46 [INFO] [TRAIN] epoch=10, iter=5950/40000, loss=0.4697, lr=0.008651, batch_cost=0.5373, reader_cost=0.0205 | ETA 05:04:55 2021-01-17 17:36:51 [INFO] [TRAIN] epoch=10, iter=5960/40000, loss=0.6090, lr=0.008649, batch_cost=0.5372, reader_cost=0.0001 | ETA 05:04:46 2021-01-17 17:36:56 [INFO] [TRAIN] epoch=10, iter=5970/40000, loss=0.3680, lr=0.008646, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:04:52 2021-01-17 17:37:02 [INFO] [TRAIN] epoch=10, iter=5980/40000, loss=0.3695, lr=0.008644, batch_cost=0.5415, reader_cost=0.0001 | ETA 05:07:01 2021-01-17 17:37:07 [INFO] [TRAIN] epoch=10, iter=5990/40000, loss=0.5974, lr=0.008642, batch_cost=0.5422, reader_cost=0.0001 | ETA 05:07:20 2021-01-17 17:37:13 [INFO] [TRAIN] epoch=10, iter=6000/40000, loss=0.4350, lr=0.008639, batch_cost=0.5402, reader_cost=0.0001 | ETA 05:06:06 2021-01-17 17:37:13 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 17:37:33 [INFO] [EVAL] #Images=1449 mIoU=0.7247 Acc=0.9391 Kappa=0.8647 2021-01-17 17:37:33 [INFO] [EVAL] Class IoU: [0.9363 0.8407 0.4096 0.8806 0.6327 0.7887 0.8845 0.835 0.9025 0.3361 0.759 0.5802 0.7442 0.6689 0.8176 0.8421 0.565 0.8011 0.482 0.8381 0.6734] 2021-01-17 17:37:33 [INFO] [EVAL] Class Acc: [0.961 0.8759 0.4536 0.9256 0.7469 0.8488 0.9635 0.9368 0.9453 0.6613 0.8774 0.9109 0.7816 0.9343 0.9131 0.92 0.7634 0.9353 0.812 0.8952 0.8124] 2021-01-17 17:37:39 [INFO] [EVAL] The model with the best validation mIoU (0.7247) was saved at iter 6000. 2021-01-17 17:37:45 [INFO] [TRAIN] epoch=10, iter=6010/40000, loss=0.5110, lr=0.008637, batch_cost=0.5349, reader_cost=0.0001 | ETA 05:03:00 2021-01-17 17:37:50 [INFO] [TRAIN] epoch=10, iter=6020/40000, loss=0.6236, lr=0.008635, batch_cost=0.5429, reader_cost=0.0001 | ETA 05:07:27 2021-01-17 17:37:55 [INFO] [TRAIN] epoch=10, iter=6030/40000, loss=0.4629, lr=0.008633, batch_cost=0.5363, reader_cost=0.0001 | ETA 05:03:38 2021-01-17 17:38:01 [INFO] [TRAIN] epoch=10, iter=6040/40000, loss=0.3732, lr=0.008630, batch_cost=0.5380, reader_cost=0.0001 | ETA 05:04:32 2021-01-17 17:38:06 [INFO] [TRAIN] epoch=10, iter=6050/40000, loss=0.4745, lr=0.008628, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:05:36 2021-01-17 17:38:12 [INFO] [TRAIN] epoch=10, iter=6060/40000, loss=0.5131, lr=0.008626, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:04:27 2021-01-17 17:38:17 [INFO] [TRAIN] epoch=10, iter=6070/40000, loss=0.3416, lr=0.008623, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:04:26 2021-01-17 17:38:22 [INFO] [TRAIN] epoch=10, iter=6080/40000, loss=0.4987, lr=0.008621, batch_cost=0.5341, reader_cost=0.0001 | ETA 05:01:57 2021-01-17 17:38:28 [INFO] [TRAIN] epoch=10, iter=6090/40000, loss=0.6401, lr=0.008619, batch_cost=0.5362, reader_cost=0.0001 | ETA 05:03:02 2021-01-17 17:38:33 [INFO] [TRAIN] epoch=10, iter=6100/40000, loss=0.5504, lr=0.008617, batch_cost=0.5425, reader_cost=0.0001 | ETA 05:06:30 2021-01-17 17:38:39 [INFO] [TRAIN] epoch=10, iter=6110/40000, loss=0.4793, lr=0.008614, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:02:34 2021-01-17 17:38:44 [INFO] [TRAIN] epoch=10, iter=6120/40000, loss=0.4906, lr=0.008612, batch_cost=0.5356, reader_cost=0.0001 | ETA 05:02:25 2021-01-17 17:38:49 [INFO] [TRAIN] epoch=10, iter=6130/40000, loss=0.4190, lr=0.008610, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:04:02 2021-01-17 17:38:55 [INFO] [TRAIN] epoch=10, iter=6140/40000, loss=0.3191, lr=0.008607, batch_cost=0.5411, reader_cost=0.0001 | ETA 05:05:20 2021-01-17 17:39:00 [INFO] [TRAIN] epoch=10, iter=6150/40000, loss=0.6250, lr=0.008605, batch_cost=0.5397, reader_cost=0.0001 | ETA 05:04:28 2021-01-17 17:39:05 [INFO] [TRAIN] epoch=10, iter=6160/40000, loss=0.3374, lr=0.008603, batch_cost=0.5368, reader_cost=0.0001 | ETA 05:02:45 2021-01-17 17:39:11 [INFO] [TRAIN] epoch=10, iter=6170/40000, loss=0.5233, lr=0.008601, batch_cost=0.5421, reader_cost=0.0001 | ETA 05:05:39 2021-01-17 17:39:16 [INFO] [TRAIN] epoch=10, iter=6180/40000, loss=0.4217, lr=0.008598, batch_cost=0.5475, reader_cost=0.0001 | ETA 05:08:35 2021-01-17 17:39:22 [INFO] [TRAIN] epoch=10, iter=6190/40000, loss=0.4008, lr=0.008596, batch_cost=0.5398, reader_cost=0.0001 | ETA 05:04:10 2021-01-17 17:39:27 [INFO] [TRAIN] epoch=10, iter=6200/40000, loss=0.4472, lr=0.008594, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:03:29 2021-01-17 17:39:33 [INFO] [TRAIN] epoch=10, iter=6210/40000, loss=0.3842, lr=0.008591, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:04:11 2021-01-17 17:39:38 [INFO] [TRAIN] epoch=10, iter=6220/40000, loss=0.3796, lr=0.008589, batch_cost=0.5375, reader_cost=0.0001 | ETA 05:02:37 2021-01-17 17:39:43 [INFO] [TRAIN] epoch=10, iter=6230/40000, loss=0.4908, lr=0.008587, batch_cost=0.5362, reader_cost=0.0001 | ETA 05:01:46 2021-01-17 17:39:49 [INFO] [TRAIN] epoch=10, iter=6240/40000, loss=0.4394, lr=0.008585, batch_cost=0.5371, reader_cost=0.0001 | ETA 05:02:12 2021-01-17 17:39:54 [INFO] [TRAIN] epoch=10, iter=6250/40000, loss=0.6359, lr=0.008582, batch_cost=0.5406, reader_cost=0.0001 | ETA 05:04:06 2021-01-17 17:39:59 [INFO] [TRAIN] epoch=10, iter=6260/40000, loss=0.4916, lr=0.008580, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:02:46 2021-01-17 17:40:05 [INFO] [TRAIN] epoch=10, iter=6270/40000, loss=0.4045, lr=0.008578, batch_cost=0.5393, reader_cost=0.0001 | ETA 05:03:12 2021-01-17 17:40:10 [INFO] [TRAIN] epoch=10, iter=6280/40000, loss=0.3385, lr=0.008575, batch_cost=0.5386, reader_cost=0.0001 | ETA 05:02:41 2021-01-17 17:40:16 [INFO] [TRAIN] epoch=10, iter=6290/40000, loss=0.6797, lr=0.008573, batch_cost=0.5385, reader_cost=0.0001 | ETA 05:02:32 2021-01-17 17:40:21 [INFO] [TRAIN] epoch=10, iter=6300/40000, loss=0.5184, lr=0.008571, batch_cost=0.5355, reader_cost=0.0001 | ETA 05:00:46 2021-01-17 17:40:26 [INFO] [TRAIN] epoch=10, iter=6310/40000, loss=0.6412, lr=0.008569, batch_cost=0.5357, reader_cost=0.0001 | ETA 05:00:47 2021-01-17 17:40:32 [INFO] [TRAIN] epoch=10, iter=6320/40000, loss=0.3653, lr=0.008566, batch_cost=0.5406, reader_cost=0.0001 | ETA 05:03:26 2021-01-17 17:40:37 [INFO] [TRAIN] epoch=10, iter=6330/40000, loss=0.4642, lr=0.008564, batch_cost=0.5388, reader_cost=0.0001 | ETA 05:02:19 2021-01-17 17:40:42 [INFO] [TRAIN] epoch=10, iter=6340/40000, loss=0.4470, lr=0.008562, batch_cost=0.5382, reader_cost=0.0001 | ETA 05:01:54 2021-01-17 17:40:48 [INFO] [TRAIN] epoch=10, iter=6350/40000, loss=0.3860, lr=0.008559, batch_cost=0.5381, reader_cost=0.0001 | ETA 05:01:48 2021-01-17 17:40:53 [INFO] [TRAIN] epoch=10, iter=6360/40000, loss=0.3387, lr=0.008557, batch_cost=0.5446, reader_cost=0.0001 | ETA 05:05:20 2021-01-17 17:40:59 [INFO] [TRAIN] epoch=10, iter=6370/40000, loss=0.5242, lr=0.008555, batch_cost=0.5463, reader_cost=0.0001 | ETA 05:06:13 2021-01-17 17:41:04 [INFO] [TRAIN] epoch=10, iter=6380/40000, loss=0.4346, lr=0.008553, batch_cost=0.5401, reader_cost=0.0001 | ETA 05:02:38 2021-01-17 17:41:10 [INFO] [TRAIN] epoch=10, iter=6390/40000, loss=0.6396, lr=0.008550, batch_cost=0.5463, reader_cost=0.0001 | ETA 05:06:01 2021-01-17 17:41:15 [INFO] [TRAIN] epoch=10, iter=6400/40000, loss=0.4927, lr=0.008548, batch_cost=0.5432, reader_cost=0.0001 | ETA 05:04:12 2021-01-17 17:41:21 [INFO] [TRAIN] epoch=10, iter=6410/40000, loss=0.5987, lr=0.008546, batch_cost=0.5414, reader_cost=0.0001 | ETA 05:03:04 2021-01-17 17:41:26 [INFO] [TRAIN] epoch=10, iter=6420/40000, loss=0.4600, lr=0.008543, batch_cost=0.5431, reader_cost=0.0001 | ETA 05:03:58 2021-01-17 17:41:31 [INFO] [TRAIN] epoch=10, iter=6430/40000, loss=0.3279, lr=0.008541, batch_cost=0.5423, reader_cost=0.0001 | ETA 05:03:25 2021-01-17 17:41:37 [INFO] [TRAIN] epoch=10, iter=6440/40000, loss=0.5763, lr=0.008539, batch_cost=0.5429, reader_cost=0.0001 | ETA 05:03:38 2021-01-17 17:41:42 [INFO] [TRAIN] epoch=10, iter=6450/40000, loss=0.4032, lr=0.008537, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:02:22 2021-01-17 17:41:48 [INFO] [TRAIN] epoch=10, iter=6460/40000, loss=0.3586, lr=0.008534, batch_cost=0.5436, reader_cost=0.0001 | ETA 05:03:50 2021-01-17 17:41:53 [INFO] [TRAIN] epoch=10, iter=6470/40000, loss=0.5817, lr=0.008532, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:59:31 2021-01-17 17:41:58 [INFO] [TRAIN] epoch=10, iter=6480/40000, loss=0.3822, lr=0.008530, batch_cost=0.5387, reader_cost=0.0001 | ETA 05:00:55 2021-01-17 17:42:04 [INFO] [TRAIN] epoch=10, iter=6490/40000, loss=0.4739, lr=0.008527, batch_cost=0.5373, reader_cost=0.0001 | ETA 05:00:03 2021-01-17 17:42:09 [INFO] [TRAIN] epoch=10, iter=6500/40000, loss=0.4348, lr=0.008525, batch_cost=0.5410, reader_cost=0.0001 | ETA 05:02:02 2021-01-17 17:42:15 [INFO] [TRAIN] epoch=10, iter=6510/40000, loss=0.4999, lr=0.008523, batch_cost=0.5361, reader_cost=0.0001 | ETA 04:59:12 2021-01-17 17:42:20 [INFO] [TRAIN] epoch=10, iter=6520/40000, loss=0.4148, lr=0.008520, batch_cost=0.5384, reader_cost=0.0001 | ETA 05:00:25 2021-01-17 17:42:25 [INFO] [TRAIN] epoch=10, iter=6530/40000, loss=0.3653, lr=0.008518, batch_cost=0.5418, reader_cost=0.0001 | ETA 05:02:12 2021-01-17 17:42:31 [INFO] [TRAIN] epoch=10, iter=6540/40000, loss=0.5132, lr=0.008516, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:01:35 2021-01-17 17:42:36 [INFO] [TRAIN] epoch=10, iter=6550/40000, loss=0.3952, lr=0.008514, batch_cost=0.5407, reader_cost=0.0001 | ETA 05:01:27 2021-01-17 17:42:42 [INFO] [TRAIN] epoch=10, iter=6560/40000, loss=0.6010, lr=0.008511, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:00:58 2021-01-17 17:42:47 [INFO] [TRAIN] epoch=10, iter=6570/40000, loss=0.5775, lr=0.008509, batch_cost=0.5433, reader_cost=0.0001 | ETA 05:02:40 2021-01-17 17:42:52 [INFO] [TRAIN] epoch=10, iter=6580/40000, loss=0.4026, lr=0.008507, batch_cost=0.5399, reader_cost=0.0001 | ETA 05:00:43 2021-01-17 17:42:58 [INFO] [TRAIN] epoch=10, iter=6590/40000, loss=0.4886, lr=0.008504, batch_cost=0.5404, reader_cost=0.0001 | ETA 05:00:54 2021-01-17 17:43:03 [INFO] [TRAIN] epoch=10, iter=6600/40000, loss=0.4566, lr=0.008502, batch_cost=0.5390, reader_cost=0.0001 | ETA 05:00:03 2021-01-17 17:43:08 [INFO] [TRAIN] epoch=10, iter=6610/40000, loss=0.4204, lr=0.008500, batch_cost=0.5162, reader_cost=0.0001 | ETA 04:47:17 2021-01-17 17:43:14 [INFO] [TRAIN] epoch=11, iter=6620/40000, loss=0.3807, lr=0.008498, batch_cost=0.5565, reader_cost=0.0113 | ETA 05:09:35 2021-01-17 17:43:19 [INFO] [TRAIN] epoch=11, iter=6630/40000, loss=0.4965, lr=0.008495, batch_cost=0.5400, reader_cost=0.0001 | ETA 05:00:20 2021-01-17 17:43:25 [INFO] [TRAIN] epoch=11, iter=6640/40000, loss=0.3314, lr=0.008493, batch_cost=0.5353, reader_cost=0.0001 | ETA 04:57:37 2021-01-17 17:43:30 [INFO] [TRAIN] epoch=11, iter=6650/40000, loss=0.3743, lr=0.008491, batch_cost=0.5425, reader_cost=0.0001 | ETA 05:01:31 2021-01-17 17:43:36 [INFO] [TRAIN] epoch=11, iter=6660/40000, loss=0.4689, lr=0.008488, batch_cost=0.5470, reader_cost=0.0001 | ETA 05:03:55 2021-01-17 17:43:41 [INFO] [TRAIN] epoch=11, iter=6670/40000, loss=0.3975, lr=0.008486, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:58:53 2021-01-17 17:43:46 [INFO] [TRAIN] epoch=11, iter=6680/40000, loss=0.3726, lr=0.008484, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:59:34 2021-01-17 17:43:52 [INFO] [TRAIN] epoch=11, iter=6690/40000, loss=0.4520, lr=0.008482, batch_cost=0.5408, reader_cost=0.0001 | ETA 05:00:14 2021-01-17 17:43:57 [INFO] [TRAIN] epoch=11, iter=6700/40000, loss=0.4706, lr=0.008479, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:59:39 2021-01-17 17:44:03 [INFO] [TRAIN] epoch=11, iter=6710/40000, loss=0.4176, lr=0.008477, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:58:59 2021-01-17 17:44:08 [INFO] [TRAIN] epoch=11, iter=6720/40000, loss=0.3291, lr=0.008475, batch_cost=0.5398, reader_cost=0.0001 | ETA 04:59:25 2021-01-17 17:44:13 [INFO] [TRAIN] epoch=11, iter=6730/40000, loss=0.4109, lr=0.008472, batch_cost=0.5383, reader_cost=0.0001 | ETA 04:58:30 2021-01-17 17:44:19 [INFO] [TRAIN] epoch=11, iter=6740/40000, loss=0.4080, lr=0.008470, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:57:47 2021-01-17 17:44:24 [INFO] [TRAIN] epoch=11, iter=6750/40000, loss=0.3590, lr=0.008468, batch_cost=0.5412, reader_cost=0.0001 | ETA 04:59:53 2021-01-17 17:44:29 [INFO] [TRAIN] epoch=11, iter=6760/40000, loss=0.3590, lr=0.008466, batch_cost=0.5397, reader_cost=0.0001 | ETA 04:58:58 2021-01-17 17:44:35 [INFO] [TRAIN] epoch=11, iter=6770/40000, loss=0.5501, lr=0.008463, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:59:55 2021-01-17 17:44:40 [INFO] [TRAIN] epoch=11, iter=6780/40000, loss=0.4303, lr=0.008461, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:57:21 2021-01-17 17:44:46 [INFO] [TRAIN] epoch=11, iter=6790/40000, loss=0.3592, lr=0.008459, batch_cost=0.5329, reader_cost=0.0001 | ETA 04:54:58 2021-01-17 17:44:51 [INFO] [TRAIN] epoch=11, iter=6800/40000, loss=0.4152, lr=0.008456, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:57:15 2021-01-17 17:44:56 [INFO] [TRAIN] epoch=11, iter=6810/40000, loss=0.4023, lr=0.008454, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:58:08 2021-01-17 17:45:02 [INFO] [TRAIN] epoch=11, iter=6820/40000, loss=0.5183, lr=0.008452, batch_cost=0.5411, reader_cost=0.0001 | ETA 04:59:14 2021-01-17 17:45:07 [INFO] [TRAIN] epoch=11, iter=6830/40000, loss=0.5358, lr=0.008449, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:59:31 2021-01-17 17:45:13 [INFO] [TRAIN] epoch=11, iter=6840/40000, loss=0.4435, lr=0.008447, batch_cost=0.5355, reader_cost=0.0001 | ETA 04:55:56 2021-01-17 17:45:18 [INFO] [TRAIN] epoch=11, iter=6850/40000, loss=0.5689, lr=0.008445, batch_cost=0.5337, reader_cost=0.0001 | ETA 04:54:53 2021-01-17 17:45:23 [INFO] [TRAIN] epoch=11, iter=6860/40000, loss=0.4958, lr=0.008443, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:57:35 2021-01-17 17:45:29 [INFO] [TRAIN] epoch=11, iter=6870/40000, loss=0.4640, lr=0.008440, batch_cost=0.5392, reader_cost=0.0001 | ETA 04:57:43 2021-01-17 17:45:34 [INFO] [TRAIN] epoch=11, iter=6880/40000, loss=0.5219, lr=0.008438, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:56:04 2021-01-17 17:45:39 [INFO] [TRAIN] epoch=11, iter=6890/40000, loss=0.3642, lr=0.008436, batch_cost=0.5407, reader_cost=0.0001 | ETA 04:58:21 2021-01-17 17:45:45 [INFO] [TRAIN] epoch=11, iter=6900/40000, loss=0.5403, lr=0.008433, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:58:09 2021-01-17 17:45:50 [INFO] [TRAIN] epoch=11, iter=6910/40000, loss=0.3128, lr=0.008431, batch_cost=0.5411, reader_cost=0.0001 | ETA 04:58:26 2021-01-17 17:45:56 [INFO] [TRAIN] epoch=11, iter=6920/40000, loss=0.3500, lr=0.008429, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:55:29 2021-01-17 17:46:01 [INFO] [TRAIN] epoch=11, iter=6930/40000, loss=0.4414, lr=0.008427, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:59:18 2021-01-17 17:46:06 [INFO] [TRAIN] epoch=11, iter=6940/40000, loss=0.3642, lr=0.008424, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:55:31 2021-01-17 17:46:12 [INFO] [TRAIN] epoch=11, iter=6950/40000, loss=0.3859, lr=0.008422, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:55:19 2021-01-17 17:46:17 [INFO] [TRAIN] epoch=11, iter=6960/40000, loss=0.5185, lr=0.008420, batch_cost=0.5375, reader_cost=0.0001 | ETA 04:55:57 2021-01-17 17:46:23 [INFO] [TRAIN] epoch=11, iter=6970/40000, loss=0.4459, lr=0.008417, batch_cost=0.5423, reader_cost=0.0001 | ETA 04:58:33 2021-01-17 17:46:28 [INFO] [TRAIN] epoch=11, iter=6980/40000, loss=0.4517, lr=0.008415, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:56:36 2021-01-17 17:46:33 [INFO] [TRAIN] epoch=11, iter=6990/40000, loss=0.3757, lr=0.008413, batch_cost=0.5445, reader_cost=0.0001 | ETA 04:59:33 2021-01-17 17:46:39 [INFO] [TRAIN] epoch=11, iter=7000/40000, loss=0.2338, lr=0.008410, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:55:27 2021-01-17 17:46:39 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 17:46:59 [INFO] [EVAL] #Images=1449 mIoU=0.7412 Acc=0.9401 Kappa=0.8692 2021-01-17 17:46:59 [INFO] [EVAL] Class IoU: [0.9359 0.7626 0.3948 0.8628 0.666 0.7875 0.9137 0.832 0.87 0.3929 0.8657 0.626 0.8006 0.7959 0.8095 0.8367 0.5832 0.8154 0.4767 0.8417 0.6955] 2021-01-17 17:46:59 [INFO] [EVAL] Class Acc: [0.9681 0.7669 0.4099 0.9221 0.8324 0.8349 0.9715 0.9145 0.9266 0.531 0.9326 0.8344 0.8648 0.945 0.8939 0.9047 0.772 0.8683 0.8011 0.8837 0.9004] 2021-01-17 17:47:06 [INFO] [EVAL] The model with the best validation mIoU (0.7412) was saved at iter 7000. 2021-01-17 17:47:11 [INFO] [TRAIN] epoch=11, iter=7010/40000, loss=0.4153, lr=0.008408, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:55:01 2021-01-17 17:47:16 [INFO] [TRAIN] epoch=11, iter=7020/40000, loss=0.3830, lr=0.008406, batch_cost=0.5428, reader_cost=0.0001 | ETA 04:58:22 2021-01-17 17:47:22 [INFO] [TRAIN] epoch=11, iter=7030/40000, loss=0.4581, lr=0.008404, batch_cost=0.5435, reader_cost=0.0001 | ETA 04:58:40 2021-01-17 17:47:27 [INFO] [TRAIN] epoch=11, iter=7040/40000, loss=0.3815, lr=0.008401, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:55:24 2021-01-17 17:47:33 [INFO] [TRAIN] epoch=11, iter=7050/40000, loss=0.4094, lr=0.008399, batch_cost=0.5441, reader_cost=0.0001 | ETA 04:58:49 2021-01-17 17:47:38 [INFO] [TRAIN] epoch=11, iter=7060/40000, loss=0.5018, lr=0.008397, batch_cost=0.5417, reader_cost=0.0001 | ETA 04:57:22 2021-01-17 17:47:43 [INFO] [TRAIN] epoch=11, iter=7070/40000, loss=0.4481, lr=0.008394, batch_cost=0.5465, reader_cost=0.0001 | ETA 04:59:56 2021-01-17 17:47:49 [INFO] [TRAIN] epoch=11, iter=7080/40000, loss=0.4922, lr=0.008392, batch_cost=0.5413, reader_cost=0.0001 | ETA 04:56:58 2021-01-17 17:47:54 [INFO] [TRAIN] epoch=11, iter=7090/40000, loss=0.3575, lr=0.008390, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:54:42 2021-01-17 17:48:00 [INFO] [TRAIN] epoch=11, iter=7100/40000, loss=0.4303, lr=0.008388, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:55:51 2021-01-17 17:48:05 [INFO] [TRAIN] epoch=11, iter=7110/40000, loss=0.3609, lr=0.008385, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:55:47 2021-01-17 17:48:10 [INFO] [TRAIN] epoch=11, iter=7120/40000, loss=0.3735, lr=0.008383, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:55:24 2021-01-17 17:48:16 [INFO] [TRAIN] epoch=11, iter=7130/40000, loss=0.4390, lr=0.008381, batch_cost=0.5422, reader_cost=0.0001 | ETA 04:57:00 2021-01-17 17:48:21 [INFO] [TRAIN] epoch=11, iter=7140/40000, loss=0.3889, lr=0.008378, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:54:57 2021-01-17 17:48:27 [INFO] [TRAIN] epoch=11, iter=7150/40000, loss=0.4368, lr=0.008376, batch_cost=0.5429, reader_cost=0.0001 | ETA 04:57:14 2021-01-17 17:48:32 [INFO] [TRAIN] epoch=11, iter=7160/40000, loss=0.4772, lr=0.008374, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:55:15 2021-01-17 17:48:37 [INFO] [TRAIN] epoch=11, iter=7170/40000, loss=0.4871, lr=0.008371, batch_cost=0.5322, reader_cost=0.0001 | ETA 04:51:10 2021-01-17 17:48:43 [INFO] [TRAIN] epoch=11, iter=7180/40000, loss=0.3470, lr=0.008369, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:54:35 2021-01-17 17:48:48 [INFO] [TRAIN] epoch=11, iter=7190/40000, loss=0.3948, lr=0.008367, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:55:38 2021-01-17 17:48:54 [INFO] [TRAIN] epoch=11, iter=7200/40000, loss=0.4765, lr=0.008365, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:53:53 2021-01-17 17:48:59 [INFO] [TRAIN] epoch=11, iter=7210/40000, loss=0.3249, lr=0.008362, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:55:36 2021-01-17 17:49:04 [INFO] [TRAIN] epoch=11, iter=7220/40000, loss=0.5076, lr=0.008360, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:53:33 2021-01-17 17:49:10 [INFO] [TRAIN] epoch=11, iter=7230/40000, loss=0.4639, lr=0.008358, batch_cost=0.5446, reader_cost=0.0001 | ETA 04:57:25 2021-01-17 17:49:15 [INFO] [TRAIN] epoch=11, iter=7240/40000, loss=0.7399, lr=0.008355, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:52:53 2021-01-17 17:49:21 [INFO] [TRAIN] epoch=11, iter=7250/40000, loss=0.5278, lr=0.008353, batch_cost=0.5435, reader_cost=0.0001 | ETA 04:56:40 2021-01-17 17:49:26 [INFO] [TRAIN] epoch=11, iter=7260/40000, loss=0.4407, lr=0.008351, batch_cost=0.5425, reader_cost=0.0001 | ETA 04:56:02 2021-01-17 17:49:31 [INFO] [TRAIN] epoch=11, iter=7270/40000, loss=0.4551, lr=0.008349, batch_cost=0.5219, reader_cost=0.0001 | ETA 04:44:40 2021-01-17 17:49:37 [INFO] [TRAIN] epoch=12, iter=7280/40000, loss=0.3517, lr=0.008346, batch_cost=0.5539, reader_cost=0.0181 | ETA 05:02:03 2021-01-17 17:49:42 [INFO] [TRAIN] epoch=12, iter=7290/40000, loss=0.4115, lr=0.008344, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:52:31 2021-01-17 17:49:48 [INFO] [TRAIN] epoch=12, iter=7300/40000, loss=0.3900, lr=0.008342, batch_cost=0.5392, reader_cost=0.0001 | ETA 04:53:51 2021-01-17 17:49:53 [INFO] [TRAIN] epoch=12, iter=7310/40000, loss=0.5709, lr=0.008339, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:53:39 2021-01-17 17:49:58 [INFO] [TRAIN] epoch=12, iter=7320/40000, loss=0.3994, lr=0.008337, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:52:02 2021-01-17 17:50:04 [INFO] [TRAIN] epoch=12, iter=7330/40000, loss=0.3809, lr=0.008335, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:54:07 2021-01-17 17:50:09 [INFO] [TRAIN] epoch=12, iter=7340/40000, loss=0.3880, lr=0.008332, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:54:09 2021-01-17 17:50:15 [INFO] [TRAIN] epoch=12, iter=7350/40000, loss=0.4849, lr=0.008330, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:54:08 2021-01-17 17:50:20 [INFO] [TRAIN] epoch=12, iter=7360/40000, loss=0.4513, lr=0.008328, batch_cost=0.5358, reader_cost=0.0001 | ETA 04:51:27 2021-01-17 17:50:25 [INFO] [TRAIN] epoch=12, iter=7370/40000, loss=0.3101, lr=0.008326, batch_cost=0.5422, reader_cost=0.0001 | ETA 04:54:53 2021-01-17 17:50:31 [INFO] [TRAIN] epoch=12, iter=7380/40000, loss=0.2889, lr=0.008323, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:50:45 2021-01-17 17:50:36 [INFO] [TRAIN] epoch=12, iter=7390/40000, loss=0.3188, lr=0.008321, batch_cost=0.5431, reader_cost=0.0001 | ETA 04:55:09 2021-01-17 17:50:41 [INFO] [TRAIN] epoch=12, iter=7400/40000, loss=0.3105, lr=0.008319, batch_cost=0.5359, reader_cost=0.0001 | ETA 04:51:08 2021-01-17 17:50:47 [INFO] [TRAIN] epoch=12, iter=7410/40000, loss=0.4196, lr=0.008316, batch_cost=0.5414, reader_cost=0.0001 | ETA 04:54:04 2021-01-17 17:50:52 [INFO] [TRAIN] epoch=12, iter=7420/40000, loss=0.2940, lr=0.008314, batch_cost=0.5352, reader_cost=0.0001 | ETA 04:50:37 2021-01-17 17:50:58 [INFO] [TRAIN] epoch=12, iter=7430/40000, loss=0.4251, lr=0.008312, batch_cost=0.5395, reader_cost=0.0001 | ETA 04:52:51 2021-01-17 17:51:03 [INFO] [TRAIN] epoch=12, iter=7440/40000, loss=0.3739, lr=0.008309, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:53:01 2021-01-17 17:51:08 [INFO] [TRAIN] epoch=12, iter=7450/40000, loss=0.4909, lr=0.008307, batch_cost=0.5351, reader_cost=0.0001 | ETA 04:50:18 2021-01-17 17:51:14 [INFO] [TRAIN] epoch=12, iter=7460/40000, loss=0.6016, lr=0.008305, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:50:42 2021-01-17 17:51:19 [INFO] [TRAIN] epoch=12, iter=7470/40000, loss=0.3329, lr=0.008303, batch_cost=0.5361, reader_cost=0.0001 | ETA 04:50:40 2021-01-17 17:51:24 [INFO] [TRAIN] epoch=12, iter=7480/40000, loss=0.4344, lr=0.008300, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:51:02 2021-01-17 17:51:30 [INFO] [TRAIN] epoch=12, iter=7490/40000, loss=0.4057, lr=0.008298, batch_cost=0.5365, reader_cost=0.0001 | ETA 04:50:43 2021-01-17 17:51:35 [INFO] [TRAIN] epoch=12, iter=7500/40000, loss=0.5911, lr=0.008296, batch_cost=0.5374, reader_cost=0.0001 | ETA 04:51:04 2021-01-17 17:51:41 [INFO] [TRAIN] epoch=12, iter=7510/40000, loss=0.3425, lr=0.008293, batch_cost=0.5425, reader_cost=0.0001 | ETA 04:53:45 2021-01-17 17:51:46 [INFO] [TRAIN] epoch=12, iter=7520/40000, loss=0.3563, lr=0.008291, batch_cost=0.5436, reader_cost=0.0001 | ETA 04:54:16 2021-01-17 17:51:51 [INFO] [TRAIN] epoch=12, iter=7530/40000, loss=0.4790, lr=0.008289, batch_cost=0.5437, reader_cost=0.0001 | ETA 04:54:12 2021-01-17 17:51:57 [INFO] [TRAIN] epoch=12, iter=7540/40000, loss=0.6067, lr=0.008287, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:51:36 2021-01-17 17:52:02 [INFO] [TRAIN] epoch=12, iter=7550/40000, loss=0.4976, lr=0.008284, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:52:10 2021-01-17 17:52:08 [INFO] [TRAIN] epoch=12, iter=7560/40000, loss=0.3430, lr=0.008282, batch_cost=0.5359, reader_cost=0.0001 | ETA 04:49:44 2021-01-17 17:52:13 [INFO] [TRAIN] epoch=12, iter=7570/40000, loss=0.4214, lr=0.008280, batch_cost=0.5434, reader_cost=0.0001 | ETA 04:53:41 2021-01-17 17:52:19 [INFO] [TRAIN] epoch=12, iter=7580/40000, loss=0.4994, lr=0.008277, batch_cost=0.5422, reader_cost=0.0001 | ETA 04:52:59 2021-01-17 17:52:24 [INFO] [TRAIN] epoch=12, iter=7590/40000, loss=0.4383, lr=0.008275, batch_cost=0.5439, reader_cost=0.0001 | ETA 04:53:48 2021-01-17 17:52:29 [INFO] [TRAIN] epoch=12, iter=7600/40000, loss=0.3839, lr=0.008273, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:50:57 2021-01-17 17:52:35 [INFO] [TRAIN] epoch=12, iter=7610/40000, loss=0.4071, lr=0.008270, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:50:58 2021-01-17 17:52:40 [INFO] [TRAIN] epoch=12, iter=7620/40000, loss=0.5164, lr=0.008268, batch_cost=0.5446, reader_cost=0.0001 | ETA 04:53:55 2021-01-17 17:52:46 [INFO] [TRAIN] epoch=12, iter=7630/40000, loss=0.4243, lr=0.008266, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:51:52 2021-01-17 17:52:51 [INFO] [TRAIN] epoch=12, iter=7640/40000, loss=0.5965, lr=0.008264, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:49:43 2021-01-17 17:52:56 [INFO] [TRAIN] epoch=12, iter=7650/40000, loss=0.5599, lr=0.008261, batch_cost=0.5323, reader_cost=0.0001 | ETA 04:46:59 2021-01-17 17:53:02 [INFO] [TRAIN] epoch=12, iter=7660/40000, loss=0.3759, lr=0.008259, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:49:55 2021-01-17 17:53:07 [INFO] [TRAIN] epoch=12, iter=7670/40000, loss=0.4196, lr=0.008257, batch_cost=0.5433, reader_cost=0.0001 | ETA 04:52:44 2021-01-17 17:53:12 [INFO] [TRAIN] epoch=12, iter=7680/40000, loss=0.4483, lr=0.008254, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:49:48 2021-01-17 17:53:18 [INFO] [TRAIN] epoch=12, iter=7690/40000, loss=0.7854, lr=0.008252, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:49:35 2021-01-17 17:53:23 [INFO] [TRAIN] epoch=12, iter=7700/40000, loss=0.4805, lr=0.008250, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:50:07 2021-01-17 17:53:29 [INFO] [TRAIN] epoch=12, iter=7710/40000, loss=0.5081, lr=0.008247, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:50:36 2021-01-17 17:53:34 [INFO] [TRAIN] epoch=12, iter=7720/40000, loss=0.6907, lr=0.008245, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:50:36 2021-01-17 17:53:39 [INFO] [TRAIN] epoch=12, iter=7730/40000, loss=0.4706, lr=0.008243, batch_cost=0.5440, reader_cost=0.0001 | ETA 04:52:33 2021-01-17 17:53:45 [INFO] [TRAIN] epoch=12, iter=7740/40000, loss=0.3438, lr=0.008241, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:49:44 2021-01-17 17:53:50 [INFO] [TRAIN] epoch=12, iter=7750/40000, loss=0.3962, lr=0.008238, batch_cost=0.5435, reader_cost=0.0001 | ETA 04:52:08 2021-01-17 17:53:56 [INFO] [TRAIN] epoch=12, iter=7760/40000, loss=0.4130, lr=0.008236, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:50:12 2021-01-17 17:54:01 [INFO] [TRAIN] epoch=12, iter=7770/40000, loss=0.4093, lr=0.008234, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:48:57 2021-01-17 17:54:06 [INFO] [TRAIN] epoch=12, iter=7780/40000, loss=0.3432, lr=0.008231, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:50:17 2021-01-17 17:54:12 [INFO] [TRAIN] epoch=12, iter=7790/40000, loss=0.3807, lr=0.008229, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:49:29 2021-01-17 17:54:17 [INFO] [TRAIN] epoch=12, iter=7800/40000, loss=0.3753, lr=0.008227, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:48:31 2021-01-17 17:54:23 [INFO] [TRAIN] epoch=12, iter=7810/40000, loss=0.3019, lr=0.008224, batch_cost=0.5342, reader_cost=0.0001 | ETA 04:46:35 2021-01-17 17:54:28 [INFO] [TRAIN] epoch=12, iter=7820/40000, loss=0.5096, lr=0.008222, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:47:51 2021-01-17 17:54:33 [INFO] [TRAIN] epoch=12, iter=7830/40000, loss=0.3467, lr=0.008220, batch_cost=0.5315, reader_cost=0.0001 | ETA 04:44:58 2021-01-17 17:54:39 [INFO] [TRAIN] epoch=12, iter=7840/40000, loss=0.3360, lr=0.008218, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:48:07 2021-01-17 17:54:44 [INFO] [TRAIN] epoch=12, iter=7850/40000, loss=0.3688, lr=0.008215, batch_cost=0.5370, reader_cost=0.0002 | ETA 04:47:44 2021-01-17 17:54:49 [INFO] [TRAIN] epoch=12, iter=7860/40000, loss=0.3984, lr=0.008213, batch_cost=0.5441, reader_cost=0.0001 | ETA 04:51:26 2021-01-17 17:54:55 [INFO] [TRAIN] epoch=12, iter=7870/40000, loss=0.3974, lr=0.008211, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:48:51 2021-01-17 17:55:00 [INFO] [TRAIN] epoch=12, iter=7880/40000, loss=0.3184, lr=0.008208, batch_cost=0.5398, reader_cost=0.0001 | ETA 04:48:57 2021-01-17 17:55:06 [INFO] [TRAIN] epoch=12, iter=7890/40000, loss=0.4289, lr=0.008206, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:49:33 2021-01-17 17:55:11 [INFO] [TRAIN] epoch=12, iter=7900/40000, loss=0.5121, lr=0.008204, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:48:49 2021-01-17 17:55:16 [INFO] [TRAIN] epoch=12, iter=7910/40000, loss=0.4598, lr=0.008201, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:47:14 2021-01-17 17:55:22 [INFO] [TRAIN] epoch=12, iter=7920/40000, loss=0.5532, lr=0.008199, batch_cost=0.5392, reader_cost=0.0001 | ETA 04:48:17 2021-01-17 17:55:27 [INFO] [TRAIN] epoch=12, iter=7930/40000, loss=0.4352, lr=0.008197, batch_cost=0.5240, reader_cost=0.0001 | ETA 04:40:03 2021-01-17 17:55:33 [INFO] [TRAIN] epoch=13, iter=7940/40000, loss=0.4581, lr=0.008195, batch_cost=0.5488, reader_cost=0.0193 | ETA 04:53:15 2021-01-17 17:55:38 [INFO] [TRAIN] epoch=13, iter=7950/40000, loss=0.4641, lr=0.008192, batch_cost=0.5412, reader_cost=0.0001 | ETA 04:49:04 2021-01-17 17:55:43 [INFO] [TRAIN] epoch=13, iter=7960/40000, loss=0.4280, lr=0.008190, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:48:51 2021-01-17 17:55:49 [INFO] [TRAIN] epoch=13, iter=7970/40000, loss=0.4342, lr=0.008188, batch_cost=0.5395, reader_cost=0.0001 | ETA 04:48:01 2021-01-17 17:55:54 [INFO] [TRAIN] epoch=13, iter=7980/40000, loss=0.3413, lr=0.008185, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:48:16 2021-01-17 17:56:00 [INFO] [TRAIN] epoch=13, iter=7990/40000, loss=0.3397, lr=0.008183, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:46:40 2021-01-17 17:56:05 [INFO] [TRAIN] epoch=13, iter=8000/40000, loss=0.3300, lr=0.008181, batch_cost=0.5465, reader_cost=0.0001 | ETA 04:51:26 2021-01-17 17:56:05 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 17:56:25 [INFO] [EVAL] #Images=1449 mIoU=0.7464 Acc=0.9420 Kappa=0.8698 2021-01-17 17:56:25 [INFO] [EVAL] Class IoU: [0.9359 0.8762 0.3869 0.8884 0.6789 0.7961 0.8942 0.8049 0.9044 0.4271 0.8635 0.4384 0.8442 0.8608 0.8178 0.8408 0.5934 0.8537 0.3968 0.8502 0.7208] 2021-01-17 17:56:25 [INFO] [EVAL] Class Acc: [0.9566 0.8972 0.4183 0.9744 0.8121 0.859 0.9604 0.9703 0.9334 0.6482 0.9195 0.9583 0.9223 0.9257 0.8457 0.9495 0.8569 0.9685 0.7769 0.9279 0.8239] 2021-01-17 17:56:32 [INFO] [EVAL] The model with the best validation mIoU (0.7464) was saved at iter 8000. 2021-01-17 17:56:37 [INFO] [TRAIN] epoch=13, iter=8010/40000, loss=0.3599, lr=0.008178, batch_cost=0.5318, reader_cost=0.0001 | ETA 04:43:30 2021-01-17 17:56:43 [INFO] [TRAIN] epoch=13, iter=8020/40000, loss=0.3245, lr=0.008176, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:48:09 2021-01-17 17:56:48 [INFO] [TRAIN] epoch=13, iter=8030/40000, loss=0.4390, lr=0.008174, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:45:47 2021-01-17 17:56:53 [INFO] [TRAIN] epoch=13, iter=8040/40000, loss=0.2918, lr=0.008172, batch_cost=0.5446, reader_cost=0.0001 | ETA 04:50:06 2021-01-17 17:56:59 [INFO] [TRAIN] epoch=13, iter=8050/40000, loss=0.3752, lr=0.008169, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:46:03 2021-01-17 17:57:04 [INFO] [TRAIN] epoch=13, iter=8060/40000, loss=0.3432, lr=0.008167, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:46:22 2021-01-17 17:57:10 [INFO] [TRAIN] epoch=13, iter=8070/40000, loss=0.4269, lr=0.008165, batch_cost=0.5411, reader_cost=0.0001 | ETA 04:47:56 2021-01-17 17:57:15 [INFO] [TRAIN] epoch=13, iter=8080/40000, loss=0.3724, lr=0.008162, batch_cost=0.5453, reader_cost=0.0001 | ETA 04:50:04 2021-01-17 17:57:20 [INFO] [TRAIN] epoch=13, iter=8090/40000, loss=0.3434, lr=0.008160, batch_cost=0.5416, reader_cost=0.0001 | ETA 04:48:03 2021-01-17 17:57:26 [INFO] [TRAIN] epoch=13, iter=8100/40000, loss=0.4547, lr=0.008158, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:45:54 2021-01-17 17:57:31 [INFO] [TRAIN] epoch=13, iter=8110/40000, loss=0.3470, lr=0.008155, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:48:01 2021-01-17 17:57:37 [INFO] [TRAIN] epoch=13, iter=8120/40000, loss=0.5439, lr=0.008153, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:46:52 2021-01-17 17:57:42 [INFO] [TRAIN] epoch=13, iter=8130/40000, loss=0.3950, lr=0.008151, batch_cost=0.5342, reader_cost=0.0001 | ETA 04:43:44 2021-01-17 17:57:47 [INFO] [TRAIN] epoch=13, iter=8140/40000, loss=0.3434, lr=0.008149, batch_cost=0.5429, reader_cost=0.0001 | ETA 04:48:16 2021-01-17 17:57:53 [INFO] [TRAIN] epoch=13, iter=8150/40000, loss=0.4064, lr=0.008146, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:46:43 2021-01-17 17:57:58 [INFO] [TRAIN] epoch=13, iter=8160/40000, loss=0.5154, lr=0.008144, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:45:00 2021-01-17 17:58:04 [INFO] [TRAIN] epoch=13, iter=8170/40000, loss=0.3587, lr=0.008142, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:46:09 2021-01-17 17:58:09 [INFO] [TRAIN] epoch=13, iter=8180/40000, loss=0.2784, lr=0.008139, batch_cost=0.5442, reader_cost=0.0001 | ETA 04:48:35 2021-01-17 17:58:14 [INFO] [TRAIN] epoch=13, iter=8190/40000, loss=0.3111, lr=0.008137, batch_cost=0.5423, reader_cost=0.0001 | ETA 04:47:29 2021-01-17 17:58:20 [INFO] [TRAIN] epoch=13, iter=8200/40000, loss=0.3479, lr=0.008135, batch_cost=0.5321, reader_cost=0.0001 | ETA 04:41:59 2021-01-17 17:58:25 [INFO] [TRAIN] epoch=13, iter=8210/40000, loss=0.5508, lr=0.008132, batch_cost=0.5349, reader_cost=0.0001 | ETA 04:43:24 2021-01-17 17:58:30 [INFO] [TRAIN] epoch=13, iter=8220/40000, loss=0.3019, lr=0.008130, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:45:15 2021-01-17 17:58:36 [INFO] [TRAIN] epoch=13, iter=8230/40000, loss=0.3967, lr=0.008128, batch_cost=0.5304, reader_cost=0.0001 | ETA 04:40:50 2021-01-17 17:58:41 [INFO] [TRAIN] epoch=13, iter=8240/40000, loss=0.5539, lr=0.008126, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:45:53 2021-01-17 17:58:47 [INFO] [TRAIN] epoch=13, iter=8250/40000, loss=0.4720, lr=0.008123, batch_cost=0.5425, reader_cost=0.0001 | ETA 04:47:03 2021-01-17 17:58:52 [INFO] [TRAIN] epoch=13, iter=8260/40000, loss=0.3116, lr=0.008121, batch_cost=0.5318, reader_cost=0.0001 | ETA 04:41:18 2021-01-17 17:58:57 [INFO] [TRAIN] epoch=13, iter=8270/40000, loss=0.4005, lr=0.008119, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:45:14 2021-01-17 17:59:03 [INFO] [TRAIN] epoch=13, iter=8280/40000, loss=0.5077, lr=0.008116, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:44:38 2021-01-17 17:59:08 [INFO] [TRAIN] epoch=13, iter=8290/40000, loss=0.3042, lr=0.008114, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:44:25 2021-01-17 17:59:13 [INFO] [TRAIN] epoch=13, iter=8300/40000, loss=0.2936, lr=0.008112, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:45:05 2021-01-17 17:59:19 [INFO] [TRAIN] epoch=13, iter=8310/40000, loss=0.4455, lr=0.008109, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:45:27 2021-01-17 17:59:24 [INFO] [TRAIN] epoch=13, iter=8320/40000, loss=0.4267, lr=0.008107, batch_cost=0.5455, reader_cost=0.0001 | ETA 04:48:00 2021-01-17 17:59:30 [INFO] [TRAIN] epoch=13, iter=8330/40000, loss=0.4916, lr=0.008105, batch_cost=0.5350, reader_cost=0.0001 | ETA 04:42:23 2021-01-17 17:59:35 [INFO] [TRAIN] epoch=13, iter=8340/40000, loss=0.3406, lr=0.008102, batch_cost=0.5413, reader_cost=0.0001 | ETA 04:45:36 2021-01-17 17:59:40 [INFO] [TRAIN] epoch=13, iter=8350/40000, loss=0.4339, lr=0.008100, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:44:03 2021-01-17 17:59:46 [INFO] [TRAIN] epoch=13, iter=8360/40000, loss=0.3817, lr=0.008098, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:43:37 2021-01-17 17:59:51 [INFO] [TRAIN] epoch=13, iter=8370/40000, loss=0.3222, lr=0.008096, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:44:16 2021-01-17 17:59:57 [INFO] [TRAIN] epoch=13, iter=8380/40000, loss=0.5151, lr=0.008093, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:43:20 2021-01-17 18:00:02 [INFO] [TRAIN] epoch=13, iter=8390/40000, loss=0.5933, lr=0.008091, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:44:16 2021-01-17 18:00:07 [INFO] [TRAIN] epoch=13, iter=8400/40000, loss=0.5094, lr=0.008089, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:43:45 2021-01-17 18:00:13 [INFO] [TRAIN] epoch=13, iter=8410/40000, loss=0.2971, lr=0.008086, batch_cost=0.5359, reader_cost=0.0001 | ETA 04:42:10 2021-01-17 18:00:18 [INFO] [TRAIN] epoch=13, iter=8420/40000, loss=0.3396, lr=0.008084, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:42:56 2021-01-17 18:00:24 [INFO] [TRAIN] epoch=13, iter=8430/40000, loss=0.4568, lr=0.008082, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:43:36 2021-01-17 18:00:29 [INFO] [TRAIN] epoch=13, iter=8440/40000, loss=0.3847, lr=0.008079, batch_cost=0.5423, reader_cost=0.0001 | ETA 04:45:15 2021-01-17 18:00:34 [INFO] [TRAIN] epoch=13, iter=8450/40000, loss=0.2767, lr=0.008077, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:43:34 2021-01-17 18:00:40 [INFO] [TRAIN] epoch=13, iter=8460/40000, loss=0.2821, lr=0.008075, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:42:08 2021-01-17 18:00:45 [INFO] [TRAIN] epoch=13, iter=8470/40000, loss=0.3257, lr=0.008073, batch_cost=0.5433, reader_cost=0.0001 | ETA 04:45:29 2021-01-17 18:00:51 [INFO] [TRAIN] epoch=13, iter=8480/40000, loss=0.4512, lr=0.008070, batch_cost=0.5438, reader_cost=0.0001 | ETA 04:45:40 2021-01-17 18:00:56 [INFO] [TRAIN] epoch=13, iter=8490/40000, loss=0.4901, lr=0.008068, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:42:39 2021-01-17 18:01:01 [INFO] [TRAIN] epoch=13, iter=8500/40000, loss=0.4119, lr=0.008066, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:41:31 2021-01-17 18:01:07 [INFO] [TRAIN] epoch=13, iter=8510/40000, loss=0.4327, lr=0.008063, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:43:39 2021-01-17 18:01:12 [INFO] [TRAIN] epoch=13, iter=8520/40000, loss=0.3967, lr=0.008061, batch_cost=0.5417, reader_cost=0.0001 | ETA 04:44:12 2021-01-17 18:01:18 [INFO] [TRAIN] epoch=13, iter=8530/40000, loss=0.3126, lr=0.008059, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:42:00 2021-01-17 18:01:23 [INFO] [TRAIN] epoch=13, iter=8540/40000, loss=0.3927, lr=0.008056, batch_cost=0.5350, reader_cost=0.0001 | ETA 04:40:30 2021-01-17 18:01:28 [INFO] [TRAIN] epoch=13, iter=8550/40000, loss=0.4278, lr=0.008054, batch_cost=0.5369, reader_cost=0.0001 | ETA 04:41:25 2021-01-17 18:01:34 [INFO] [TRAIN] epoch=13, iter=8560/40000, loss=0.4052, lr=0.008052, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:43:43 2021-01-17 18:01:39 [INFO] [TRAIN] epoch=13, iter=8570/40000, loss=0.4727, lr=0.008049, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:42:13 2021-01-17 18:01:44 [INFO] [TRAIN] epoch=13, iter=8580/40000, loss=0.3915, lr=0.008047, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:41:12 2021-01-17 18:01:50 [INFO] [TRAIN] epoch=13, iter=8590/40000, loss=0.4917, lr=0.008045, batch_cost=0.5279, reader_cost=0.0001 | ETA 04:36:21 2021-01-17 18:01:55 [INFO] [TRAIN] epoch=14, iter=8600/40000, loss=0.5613, lr=0.008043, batch_cost=0.5399, reader_cost=0.0139 | ETA 04:42:32 2021-01-17 18:02:00 [INFO] [TRAIN] epoch=14, iter=8610/40000, loss=0.4910, lr=0.008040, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:41:28 2021-01-17 18:02:06 [INFO] [TRAIN] epoch=14, iter=8620/40000, loss=0.3801, lr=0.008038, batch_cost=0.5365, reader_cost=0.0001 | ETA 04:40:35 2021-01-17 18:02:11 [INFO] [TRAIN] epoch=14, iter=8630/40000, loss=0.4250, lr=0.008036, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:41:04 2021-01-17 18:02:17 [INFO] [TRAIN] epoch=14, iter=8640/40000, loss=0.4091, lr=0.008033, batch_cost=0.5375, reader_cost=0.0001 | ETA 04:40:56 2021-01-17 18:02:22 [INFO] [TRAIN] epoch=14, iter=8650/40000, loss=0.5372, lr=0.008031, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:42:09 2021-01-17 18:02:27 [INFO] [TRAIN] epoch=14, iter=8660/40000, loss=0.3675, lr=0.008029, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:40:08 2021-01-17 18:02:33 [INFO] [TRAIN] epoch=14, iter=8670/40000, loss=0.5594, lr=0.008026, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:39:51 2021-01-17 18:02:38 [INFO] [TRAIN] epoch=14, iter=8680/40000, loss=0.4602, lr=0.008024, batch_cost=0.5337, reader_cost=0.0001 | ETA 04:38:35 2021-01-17 18:02:43 [INFO] [TRAIN] epoch=14, iter=8690/40000, loss=0.4709, lr=0.008022, batch_cost=0.5336, reader_cost=0.0001 | ETA 04:38:26 2021-01-17 18:02:49 [INFO] [TRAIN] epoch=14, iter=8700/40000, loss=0.4543, lr=0.008020, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:42:29 2021-01-17 18:02:54 [INFO] [TRAIN] epoch=14, iter=8710/40000, loss=0.4791, lr=0.008017, batch_cost=0.5428, reader_cost=0.0001 | ETA 04:43:03 2021-01-17 18:03:00 [INFO] [TRAIN] epoch=14, iter=8720/40000, loss=0.3909, lr=0.008015, batch_cost=0.5408, reader_cost=0.0001 | ETA 04:41:56 2021-01-17 18:03:05 [INFO] [TRAIN] epoch=14, iter=8730/40000, loss=0.4047, lr=0.008013, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:40:37 2021-01-17 18:03:10 [INFO] [TRAIN] epoch=14, iter=8740/40000, loss=0.3776, lr=0.008010, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:39:46 2021-01-17 18:03:16 [INFO] [TRAIN] epoch=14, iter=8750/40000, loss=0.5552, lr=0.008008, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:40:46 2021-01-17 18:03:21 [INFO] [TRAIN] epoch=14, iter=8760/40000, loss=0.4910, lr=0.008006, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:41:16 2021-01-17 18:03:27 [INFO] [TRAIN] epoch=14, iter=8770/40000, loss=0.4086, lr=0.008003, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:40:14 2021-01-17 18:03:32 [INFO] [TRAIN] epoch=14, iter=8780/40000, loss=0.4341, lr=0.008001, batch_cost=0.5332, reader_cost=0.0001 | ETA 04:37:27 2021-01-17 18:03:37 [INFO] [TRAIN] epoch=14, iter=8790/40000, loss=0.2988, lr=0.007999, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:38:56 2021-01-17 18:03:43 [INFO] [TRAIN] epoch=14, iter=8800/40000, loss=0.3935, lr=0.007996, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:39:16 2021-01-17 18:03:48 [INFO] [TRAIN] epoch=14, iter=8810/40000, loss=0.4057, lr=0.007994, batch_cost=0.5349, reader_cost=0.0001 | ETA 04:38:02 2021-01-17 18:03:53 [INFO] [TRAIN] epoch=14, iter=8820/40000, loss=0.3070, lr=0.007992, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:38:45 2021-01-17 18:03:59 [INFO] [TRAIN] epoch=14, iter=8830/40000, loss=0.5763, lr=0.007990, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:39:48 2021-01-17 18:04:04 [INFO] [TRAIN] epoch=14, iter=8840/40000, loss=0.3253, lr=0.007987, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:39:31 2021-01-17 18:04:10 [INFO] [TRAIN] epoch=14, iter=8850/40000, loss=0.2808, lr=0.007985, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:38:53 2021-01-17 18:04:15 [INFO] [TRAIN] epoch=14, iter=8860/40000, loss=0.4551, lr=0.007983, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:40:17 2021-01-17 18:04:20 [INFO] [TRAIN] epoch=14, iter=8870/40000, loss=0.3454, lr=0.007980, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:41:07 2021-01-17 18:04:26 [INFO] [TRAIN] epoch=14, iter=8880/40000, loss=0.4446, lr=0.007978, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:40:32 2021-01-17 18:04:31 [INFO] [TRAIN] epoch=14, iter=8890/40000, loss=0.4089, lr=0.007976, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:40:46 2021-01-17 18:04:37 [INFO] [TRAIN] epoch=14, iter=8900/40000, loss=0.4314, lr=0.007973, batch_cost=0.5340, reader_cost=0.0001 | ETA 04:36:48 2021-01-17 18:04:42 [INFO] [TRAIN] epoch=14, iter=8910/40000, loss=0.3784, lr=0.007971, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:39:46 2021-01-17 18:04:47 [INFO] [TRAIN] epoch=14, iter=8920/40000, loss=0.4602, lr=0.007969, batch_cost=0.5454, reader_cost=0.0001 | ETA 04:42:30 2021-01-17 18:04:53 [INFO] [TRAIN] epoch=14, iter=8930/40000, loss=0.4143, lr=0.007966, batch_cost=0.5392, reader_cost=0.0001 | ETA 04:39:13 2021-01-17 18:04:58 [INFO] [TRAIN] epoch=14, iter=8940/40000, loss=0.5456, lr=0.007964, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:40:03 2021-01-17 18:05:04 [INFO] [TRAIN] epoch=14, iter=8950/40000, loss=0.4485, lr=0.007962, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:38:13 2021-01-17 18:05:09 [INFO] [TRAIN] epoch=14, iter=8960/40000, loss=0.3546, lr=0.007960, batch_cost=0.5340, reader_cost=0.0001 | ETA 04:36:15 2021-01-17 18:05:14 [INFO] [TRAIN] epoch=14, iter=8970/40000, loss=0.4698, lr=0.007957, batch_cost=0.5374, reader_cost=0.0001 | ETA 04:37:54 2021-01-17 18:05:20 [INFO] [TRAIN] epoch=14, iter=8980/40000, loss=0.5282, lr=0.007955, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:37:42 2021-01-17 18:05:25 [INFO] [TRAIN] epoch=14, iter=8990/40000, loss=0.2872, lr=0.007953, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:38:05 2021-01-17 18:05:30 [INFO] [TRAIN] epoch=14, iter=9000/40000, loss=0.4281, lr=0.007950, batch_cost=0.5353, reader_cost=0.0001 | ETA 04:36:33 2021-01-17 18:05:30 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 18:05:51 [INFO] [EVAL] #Images=1449 mIoU=0.7618 Acc=0.9448 Kappa=0.8794 2021-01-17 18:05:51 [INFO] [EVAL] Class IoU: [0.9398 0.8997 0.4183 0.8851 0.6931 0.6872 0.9307 0.8602 0.9121 0.4029 0.8675 0.5949 0.8483 0.8588 0.8749 0.8543 0.5872 0.8113 0.5072 0.8429 0.7224] 2021-01-17 18:05:51 [INFO] [EVAL] Class Acc: [0.9696 0.9338 0.4307 0.9744 0.7309 0.783 0.9736 0.9362 0.9462 0.5071 0.9128 0.8695 0.9 0.9191 0.9144 0.936 0.6831 0.8946 0.7682 0.9443 0.9231] 2021-01-17 18:05:57 [INFO] [EVAL] The model with the best validation mIoU (0.7618) was saved at iter 9000. 2021-01-17 18:06:03 [INFO] [TRAIN] epoch=14, iter=9010/40000, loss=0.3319, lr=0.007948, batch_cost=0.5359, reader_cost=0.0001 | ETA 04:36:47 2021-01-17 18:06:08 [INFO] [TRAIN] epoch=14, iter=9020/40000, loss=0.3872, lr=0.007946, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:37:46 2021-01-17 18:06:13 [INFO] [TRAIN] epoch=14, iter=9030/40000, loss=0.4491, lr=0.007943, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:37:35 2021-01-17 18:06:19 [INFO] [TRAIN] epoch=14, iter=9040/40000, loss=0.3869, lr=0.007941, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:38:58 2021-01-17 18:06:24 [INFO] [TRAIN] epoch=14, iter=9050/40000, loss=0.4226, lr=0.007939, batch_cost=0.5455, reader_cost=0.0001 | ETA 04:41:22 2021-01-17 18:06:30 [INFO] [TRAIN] epoch=14, iter=9060/40000, loss=0.4806, lr=0.007936, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:39:29 2021-01-17 18:06:35 [INFO] [TRAIN] epoch=14, iter=9070/40000, loss=0.4975, lr=0.007934, batch_cost=0.5421, reader_cost=0.0001 | ETA 04:39:27 2021-01-17 18:06:40 [INFO] [TRAIN] epoch=14, iter=9080/40000, loss=0.4560, lr=0.007932, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:37:47 2021-01-17 18:06:46 [INFO] [TRAIN] epoch=14, iter=9090/40000, loss=0.4573, lr=0.007930, batch_cost=0.5422, reader_cost=0.0001 | ETA 04:39:18 2021-01-17 18:06:51 [INFO] [TRAIN] epoch=14, iter=9100/40000, loss=0.5135, lr=0.007927, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:37:47 2021-01-17 18:06:57 [INFO] [TRAIN] epoch=14, iter=9110/40000, loss=0.3895, lr=0.007925, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:36:01 2021-01-17 18:07:02 [INFO] [TRAIN] epoch=14, iter=9120/40000, loss=0.3750, lr=0.007923, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:38:26 2021-01-17 18:07:07 [INFO] [TRAIN] epoch=14, iter=9130/40000, loss=0.4986, lr=0.007920, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:37:52 2021-01-17 18:07:13 [INFO] [TRAIN] epoch=14, iter=9140/40000, loss=0.3506, lr=0.007918, batch_cost=0.5413, reader_cost=0.0001 | ETA 04:38:25 2021-01-17 18:07:18 [INFO] [TRAIN] epoch=14, iter=9150/40000, loss=0.3639, lr=0.007916, batch_cost=0.5350, reader_cost=0.0001 | ETA 04:35:05 2021-01-17 18:07:24 [INFO] [TRAIN] epoch=14, iter=9160/40000, loss=0.3467, lr=0.007913, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:38:29 2021-01-17 18:07:29 [INFO] [TRAIN] epoch=14, iter=9170/40000, loss=0.4032, lr=0.007911, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:36:53 2021-01-17 18:07:34 [INFO] [TRAIN] epoch=14, iter=9180/40000, loss=0.3035, lr=0.007909, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:36:44 2021-01-17 18:07:40 [INFO] [TRAIN] epoch=14, iter=9190/40000, loss=0.3010, lr=0.007906, batch_cost=0.5403, reader_cost=0.0001 | ETA 04:37:25 2021-01-17 18:07:45 [INFO] [TRAIN] epoch=14, iter=9200/40000, loss=0.3880, lr=0.007904, batch_cost=0.5343, reader_cost=0.0001 | ETA 04:34:17 2021-01-17 18:07:51 [INFO] [TRAIN] epoch=14, iter=9210/40000, loss=0.4149, lr=0.007902, batch_cost=0.5424, reader_cost=0.0001 | ETA 04:38:20 2021-01-17 18:07:56 [INFO] [TRAIN] epoch=14, iter=9220/40000, loss=0.3597, lr=0.007900, batch_cost=0.5463, reader_cost=0.0001 | ETA 04:40:13 2021-01-17 18:08:01 [INFO] [TRAIN] epoch=14, iter=9230/40000, loss=0.4011, lr=0.007897, batch_cost=0.5416, reader_cost=0.0001 | ETA 04:37:46 2021-01-17 18:08:07 [INFO] [TRAIN] epoch=14, iter=9240/40000, loss=0.5124, lr=0.007895, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:36:51 2021-01-17 18:08:12 [INFO] [TRAIN] epoch=14, iter=9250/40000, loss=0.3324, lr=0.007893, batch_cost=0.5323, reader_cost=0.0001 | ETA 04:32:47 2021-01-17 18:08:18 [INFO] [TRAIN] epoch=15, iter=9260/40000, loss=0.4436, lr=0.007890, batch_cost=0.5334, reader_cost=0.0158 | ETA 04:33:17 2021-01-17 18:08:23 [INFO] [TRAIN] epoch=15, iter=9270/40000, loss=0.3390, lr=0.007888, batch_cost=0.5351, reader_cost=0.0001 | ETA 04:34:04 2021-01-17 18:08:28 [INFO] [TRAIN] epoch=15, iter=9280/40000, loss=0.4331, lr=0.007886, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:34:32 2021-01-17 18:08:34 [INFO] [TRAIN] epoch=15, iter=9290/40000, loss=0.6347, lr=0.007883, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:37:08 2021-01-17 18:08:39 [INFO] [TRAIN] epoch=15, iter=9300/40000, loss=0.4101, lr=0.007881, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:36:34 2021-01-17 18:08:44 [INFO] [TRAIN] epoch=15, iter=9310/40000, loss=0.4764, lr=0.007879, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:34:59 2021-01-17 18:08:50 [INFO] [TRAIN] epoch=15, iter=9320/40000, loss=0.3759, lr=0.007876, batch_cost=0.5353, reader_cost=0.0001 | ETA 04:33:42 2021-01-17 18:08:55 [INFO] [TRAIN] epoch=15, iter=9330/40000, loss=0.2856, lr=0.007874, batch_cost=0.5439, reader_cost=0.0001 | ETA 04:38:00 2021-01-17 18:09:01 [INFO] [TRAIN] epoch=15, iter=9340/40000, loss=0.4082, lr=0.007872, batch_cost=0.5353, reader_cost=0.0001 | ETA 04:33:31 2021-01-17 18:09:06 [INFO] [TRAIN] epoch=15, iter=9350/40000, loss=0.3237, lr=0.007869, batch_cost=0.5397, reader_cost=0.0001 | ETA 04:35:40 2021-01-17 18:09:11 [INFO] [TRAIN] epoch=15, iter=9360/40000, loss=0.3158, lr=0.007867, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:35:32 2021-01-17 18:09:17 [INFO] [TRAIN] epoch=15, iter=9370/40000, loss=0.3269, lr=0.007865, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:34:56 2021-01-17 18:09:22 [INFO] [TRAIN] epoch=15, iter=9380/40000, loss=0.3724, lr=0.007863, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:34:25 2021-01-17 18:09:28 [INFO] [TRAIN] epoch=15, iter=9390/40000, loss=0.5115, lr=0.007860, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:34:15 2021-01-17 18:09:33 [INFO] [TRAIN] epoch=15, iter=9400/40000, loss=0.4315, lr=0.007858, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:34:57 2021-01-17 18:09:38 [INFO] [TRAIN] epoch=15, iter=9410/40000, loss=0.3712, lr=0.007856, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:35:49 2021-01-17 18:09:44 [INFO] [TRAIN] epoch=15, iter=9420/40000, loss=0.4161, lr=0.007853, batch_cost=0.5375, reader_cost=0.0001 | ETA 04:33:55 2021-01-17 18:09:49 [INFO] [TRAIN] epoch=15, iter=9430/40000, loss=0.3661, lr=0.007851, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:36:03 2021-01-17 18:09:55 [INFO] [TRAIN] epoch=15, iter=9440/40000, loss=0.3801, lr=0.007849, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:33:50 2021-01-17 18:10:00 [INFO] [TRAIN] epoch=15, iter=9450/40000, loss=0.3728, lr=0.007846, batch_cost=0.5407, reader_cost=0.0001 | ETA 04:35:17 2021-01-17 18:10:05 [INFO] [TRAIN] epoch=15, iter=9460/40000, loss=0.4807, lr=0.007844, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:33:42 2021-01-17 18:10:11 [INFO] [TRAIN] epoch=15, iter=9470/40000, loss=0.4127, lr=0.007842, batch_cost=0.5427, reader_cost=0.0001 | ETA 04:36:07 2021-01-17 18:10:16 [INFO] [TRAIN] epoch=15, iter=9480/40000, loss=0.2154, lr=0.007839, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:33:58 2021-01-17 18:10:21 [INFO] [TRAIN] epoch=15, iter=9490/40000, loss=0.4930, lr=0.007837, batch_cost=0.5346, reader_cost=0.0001 | ETA 04:31:51 2021-01-17 18:10:27 [INFO] [TRAIN] epoch=15, iter=9500/40000, loss=0.2663, lr=0.007835, batch_cost=0.5423, reader_cost=0.0001 | ETA 04:35:39 2021-01-17 18:10:32 [INFO] [TRAIN] epoch=15, iter=9510/40000, loss=0.3037, lr=0.007833, batch_cost=0.5416, reader_cost=0.0001 | ETA 04:35:14 2021-01-17 18:10:38 [INFO] [TRAIN] epoch=15, iter=9520/40000, loss=0.2850, lr=0.007830, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:32:52 2021-01-17 18:10:43 [INFO] [TRAIN] epoch=15, iter=9530/40000, loss=0.3677, lr=0.007828, batch_cost=0.5433, reader_cost=0.0001 | ETA 04:35:55 2021-01-17 18:10:49 [INFO] [TRAIN] epoch=15, iter=9540/40000, loss=0.3316, lr=0.007826, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:35:10 2021-01-17 18:10:54 [INFO] [TRAIN] epoch=15, iter=9550/40000, loss=0.4507, lr=0.007823, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:33:13 2021-01-17 18:10:59 [INFO] [TRAIN] epoch=15, iter=9560/40000, loss=0.3635, lr=0.007821, batch_cost=0.5445, reader_cost=0.0001 | ETA 04:36:14 2021-01-17 18:11:05 [INFO] [TRAIN] epoch=15, iter=9570/40000, loss=0.3833, lr=0.007819, batch_cost=0.5423, reader_cost=0.0001 | ETA 04:35:02 2021-01-17 18:11:10 [INFO] [TRAIN] epoch=15, iter=9580/40000, loss=0.3308, lr=0.007816, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:34:44 2021-01-17 18:11:16 [INFO] [TRAIN] epoch=15, iter=9590/40000, loss=0.3398, lr=0.007814, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:32:39 2021-01-17 18:11:21 [INFO] [TRAIN] epoch=15, iter=9600/40000, loss=0.3592, lr=0.007812, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:33:38 2021-01-17 18:11:26 [INFO] [TRAIN] epoch=15, iter=9610/40000, loss=0.3185, lr=0.007809, batch_cost=0.5414, reader_cost=0.0001 | ETA 04:34:14 2021-01-17 18:11:32 [INFO] [TRAIN] epoch=15, iter=9620/40000, loss=0.3450, lr=0.007807, batch_cost=0.5440, reader_cost=0.0001 | ETA 04:35:25 2021-01-17 18:11:37 [INFO] [TRAIN] epoch=15, iter=9630/40000, loss=0.2358, lr=0.007805, batch_cost=0.5369, reader_cost=0.0001 | ETA 04:31:45 2021-01-17 18:11:43 [INFO] [TRAIN] epoch=15, iter=9640/40000, loss=0.3719, lr=0.007802, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:31:52 2021-01-17 18:11:48 [INFO] [TRAIN] epoch=15, iter=9650/40000, loss=0.3921, lr=0.007800, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:34:07 2021-01-17 18:11:53 [INFO] [TRAIN] epoch=15, iter=9660/40000, loss=0.3580, lr=0.007798, batch_cost=0.5383, reader_cost=0.0001 | ETA 04:32:12 2021-01-17 18:11:59 [INFO] [TRAIN] epoch=15, iter=9670/40000, loss=0.3989, lr=0.007796, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:32:31 2021-01-17 18:12:04 [INFO] [TRAIN] epoch=15, iter=9680/40000, loss=0.4450, lr=0.007793, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:31:42 2021-01-17 18:12:10 [INFO] [TRAIN] epoch=15, iter=9690/40000, loss=0.3494, lr=0.007791, batch_cost=0.5369, reader_cost=0.0001 | ETA 04:31:12 2021-01-17 18:12:15 [INFO] [TRAIN] epoch=15, iter=9700/40000, loss=0.3268, lr=0.007789, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:31:15 2021-01-17 18:12:20 [INFO] [TRAIN] epoch=15, iter=9710/40000, loss=0.4871, lr=0.007786, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:31:56 2021-01-17 18:12:26 [INFO] [TRAIN] epoch=15, iter=9720/40000, loss=0.3682, lr=0.007784, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:34:02 2021-01-17 18:12:31 [INFO] [TRAIN] epoch=15, iter=9730/40000, loss=0.4718, lr=0.007782, batch_cost=0.5358, reader_cost=0.0001 | ETA 04:30:17 2021-01-17 18:12:36 [INFO] [TRAIN] epoch=15, iter=9740/40000, loss=0.3668, lr=0.007779, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:33:06 2021-01-17 18:12:42 [INFO] [TRAIN] epoch=15, iter=9750/40000, loss=0.3351, lr=0.007777, batch_cost=0.5295, reader_cost=0.0001 | ETA 04:26:55 2021-01-17 18:12:47 [INFO] [TRAIN] epoch=15, iter=9760/40000, loss=0.2940, lr=0.007775, batch_cost=0.5340, reader_cost=0.0001 | ETA 04:29:07 2021-01-17 18:12:52 [INFO] [TRAIN] epoch=15, iter=9770/40000, loss=0.3172, lr=0.007772, batch_cost=0.5355, reader_cost=0.0001 | ETA 04:29:47 2021-01-17 18:12:58 [INFO] [TRAIN] epoch=15, iter=9780/40000, loss=0.3531, lr=0.007770, batch_cost=0.5412, reader_cost=0.0001 | ETA 04:32:35 2021-01-17 18:13:03 [INFO] [TRAIN] epoch=15, iter=9790/40000, loss=0.3301, lr=0.007768, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:30:47 2021-01-17 18:13:09 [INFO] [TRAIN] epoch=15, iter=9800/40000, loss=0.3281, lr=0.007765, batch_cost=0.5464, reader_cost=0.0001 | ETA 04:35:02 2021-01-17 18:13:14 [INFO] [TRAIN] epoch=15, iter=9810/40000, loss=0.5959, lr=0.007763, batch_cost=0.5329, reader_cost=0.0001 | ETA 04:28:07 2021-01-17 18:13:19 [INFO] [TRAIN] epoch=15, iter=9820/40000, loss=0.4802, lr=0.007761, batch_cost=0.5375, reader_cost=0.0001 | ETA 04:30:20 2021-01-17 18:13:25 [INFO] [TRAIN] epoch=15, iter=9830/40000, loss=0.3260, lr=0.007758, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:31:58 2021-01-17 18:13:30 [INFO] [TRAIN] epoch=15, iter=9840/40000, loss=0.2923, lr=0.007756, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:32:21 2021-01-17 18:13:36 [INFO] [TRAIN] epoch=15, iter=9850/40000, loss=0.4397, lr=0.007754, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:30:41 2021-01-17 18:13:41 [INFO] [TRAIN] epoch=15, iter=9860/40000, loss=0.3442, lr=0.007752, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:30:32 2021-01-17 18:13:46 [INFO] [TRAIN] epoch=15, iter=9870/40000, loss=0.3867, lr=0.007749, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:30:59 2021-01-17 18:13:52 [INFO] [TRAIN] epoch=15, iter=9880/40000, loss=0.4069, lr=0.007747, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:29:59 2021-01-17 18:13:57 [INFO] [TRAIN] epoch=15, iter=9890/40000, loss=0.6173, lr=0.007745, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:31:03 2021-01-17 18:14:03 [INFO] [TRAIN] epoch=15, iter=9900/40000, loss=0.3620, lr=0.007742, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:29:46 2021-01-17 18:14:08 [INFO] [TRAIN] epoch=15, iter=9910/40000, loss=0.4209, lr=0.007740, batch_cost=0.5392, reader_cost=0.0001 | ETA 04:30:24 2021-01-17 18:14:13 [INFO] [TRAIN] epoch=16, iter=9920/40000, loss=0.4521, lr=0.007738, batch_cost=0.5319, reader_cost=0.0151 | ETA 04:26:40 2021-01-17 18:14:19 [INFO] [TRAIN] epoch=16, iter=9930/40000, loss=0.2870, lr=0.007735, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:29:53 2021-01-17 18:14:24 [INFO] [TRAIN] epoch=16, iter=9940/40000, loss=0.3752, lr=0.007733, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:29:18 2021-01-17 18:14:29 [INFO] [TRAIN] epoch=16, iter=9950/40000, loss=0.3336, lr=0.007731, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:31:23 2021-01-17 18:14:35 [INFO] [TRAIN] epoch=16, iter=9960/40000, loss=0.3650, lr=0.007728, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:31:15 2021-01-17 18:14:40 [INFO] [TRAIN] epoch=16, iter=9970/40000, loss=0.3857, lr=0.007726, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:29:12 2021-01-17 18:14:46 [INFO] [TRAIN] epoch=16, iter=9980/40000, loss=0.3361, lr=0.007724, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:30:36 2021-01-17 18:14:51 [INFO] [TRAIN] epoch=16, iter=9990/40000, loss=0.3404, lr=0.007721, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:28:57 2021-01-17 18:14:57 [INFO] [TRAIN] epoch=16, iter=10000/40000, loss=0.3650, lr=0.007719, batch_cost=0.5432, reader_cost=0.0001 | ETA 04:31:35 2021-01-17 18:14:57 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 18:15:17 [INFO] [EVAL] #Images=1449 mIoU=0.7409 Acc=0.9413 Kappa=0.8714 2021-01-17 18:15:17 [INFO] [EVAL] Class IoU: [0.9377 0.8834 0.3928 0.8944 0.6184 0.6664 0.8903 0.8695 0.9092 0.4074 0.7297 0.6255 0.8519 0.7807 0.8104 0.8536 0.5817 0.82 0.4537 0.8368 0.7457] 2021-01-17 18:15:17 [INFO] [EVAL] Class Acc: [0.9677 0.9123 0.4048 0.9477 0.6883 0.7316 0.9485 0.9608 0.941 0.5817 0.9503 0.7749 0.9219 0.8127 0.937 0.9434 0.7611 0.8611 0.7356 0.8842 0.8999] 2021-01-17 18:15:21 [INFO] [EVAL] The model with the best validation mIoU (0.7618) was saved at iter 9000. 2021-01-17 18:15:26 [INFO] [TRAIN] epoch=16, iter=10010/40000, loss=0.3380, lr=0.007717, batch_cost=0.5319, reader_cost=0.0001 | ETA 04:25:50 2021-01-17 18:15:32 [INFO] [TRAIN] epoch=16, iter=10020/40000, loss=0.3483, lr=0.007714, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:29:15 2021-01-17 18:15:37 [INFO] [TRAIN] epoch=16, iter=10030/40000, loss=0.4355, lr=0.007712, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:28:38 2021-01-17 18:15:43 [INFO] [TRAIN] epoch=16, iter=10040/40000, loss=0.3000, lr=0.007710, batch_cost=0.5368, reader_cost=0.0001 | ETA 04:28:01 2021-01-17 18:15:48 [INFO] [TRAIN] epoch=16, iter=10050/40000, loss=0.6458, lr=0.007708, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:27:54 2021-01-17 18:15:53 [INFO] [TRAIN] epoch=16, iter=10060/40000, loss=0.4650, lr=0.007705, batch_cost=0.5407, reader_cost=0.0001 | ETA 04:29:48 2021-01-17 18:15:59 [INFO] [TRAIN] epoch=16, iter=10070/40000, loss=0.5674, lr=0.007703, batch_cost=0.5458, reader_cost=0.0001 | ETA 04:32:15 2021-01-17 18:16:04 [INFO] [TRAIN] epoch=16, iter=10080/40000, loss=0.2467, lr=0.007701, batch_cost=0.5403, reader_cost=0.0001 | ETA 04:29:25 2021-01-17 18:16:10 [INFO] [TRAIN] epoch=16, iter=10090/40000, loss=0.3428, lr=0.007698, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:29:28 2021-01-17 18:16:15 [INFO] [TRAIN] epoch=16, iter=10100/40000, loss=0.5242, lr=0.007696, batch_cost=0.5395, reader_cost=0.0001 | ETA 04:28:50 2021-01-17 18:16:20 [INFO] [TRAIN] epoch=16, iter=10110/40000, loss=0.3310, lr=0.007694, batch_cost=0.5358, reader_cost=0.0001 | ETA 04:26:56 2021-01-17 18:16:26 [INFO] [TRAIN] epoch=16, iter=10120/40000, loss=0.5065, lr=0.007691, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:28:13 2021-01-17 18:16:31 [INFO] [TRAIN] epoch=16, iter=10130/40000, loss=0.3315, lr=0.007689, batch_cost=0.5440, reader_cost=0.0001 | ETA 04:30:48 2021-01-17 18:16:37 [INFO] [TRAIN] epoch=16, iter=10140/40000, loss=0.3459, lr=0.007687, batch_cost=0.5395, reader_cost=0.0001 | ETA 04:28:29 2021-01-17 18:16:42 [INFO] [TRAIN] epoch=16, iter=10150/40000, loss=0.3744, lr=0.007684, batch_cost=0.5398, reader_cost=0.0001 | ETA 04:28:33 2021-01-17 18:16:47 [INFO] [TRAIN] epoch=16, iter=10160/40000, loss=0.3109, lr=0.007682, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:27:12 2021-01-17 18:16:53 [INFO] [TRAIN] epoch=16, iter=10170/40000, loss=0.3943, lr=0.007680, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:27:39 2021-01-17 18:16:58 [INFO] [TRAIN] epoch=16, iter=10180/40000, loss=0.4576, lr=0.007677, batch_cost=0.5383, reader_cost=0.0001 | ETA 04:27:31 2021-01-17 18:17:03 [INFO] [TRAIN] epoch=16, iter=10190/40000, loss=0.3753, lr=0.007675, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:26:57 2021-01-17 18:17:09 [INFO] [TRAIN] epoch=16, iter=10200/40000, loss=0.3381, lr=0.007673, batch_cost=0.5352, reader_cost=0.0001 | ETA 04:25:50 2021-01-17 18:17:14 [INFO] [TRAIN] epoch=16, iter=10210/40000, loss=0.5576, lr=0.007670, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:27:13 2021-01-17 18:17:20 [INFO] [TRAIN] epoch=16, iter=10220/40000, loss=0.4758, lr=0.007668, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:28:19 2021-01-17 18:17:25 [INFO] [TRAIN] epoch=16, iter=10230/40000, loss=0.4169, lr=0.007666, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:26:08 2021-01-17 18:17:30 [INFO] [TRAIN] epoch=16, iter=10240/40000, loss=0.3849, lr=0.007664, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:27:37 2021-01-17 18:17:36 [INFO] [TRAIN] epoch=16, iter=10250/40000, loss=0.3307, lr=0.007661, batch_cost=0.5343, reader_cost=0.0001 | ETA 04:24:56 2021-01-17 18:17:41 [INFO] [TRAIN] epoch=16, iter=10260/40000, loss=0.3136, lr=0.007659, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:27:21 2021-01-17 18:17:47 [INFO] [TRAIN] epoch=16, iter=10270/40000, loss=0.4065, lr=0.007657, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:27:21 2021-01-17 18:17:52 [INFO] [TRAIN] epoch=16, iter=10280/40000, loss=0.3718, lr=0.007654, batch_cost=0.5450, reader_cost=0.0001 | ETA 04:29:58 2021-01-17 18:17:57 [INFO] [TRAIN] epoch=16, iter=10290/40000, loss=0.4184, lr=0.007652, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:26:40 2021-01-17 18:18:03 [INFO] [TRAIN] epoch=16, iter=10300/40000, loss=0.3014, lr=0.007650, batch_cost=0.5427, reader_cost=0.0001 | ETA 04:28:39 2021-01-17 18:18:08 [INFO] [TRAIN] epoch=16, iter=10310/40000, loss=0.4365, lr=0.007647, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:25:45 2021-01-17 18:18:14 [INFO] [TRAIN] epoch=16, iter=10320/40000, loss=0.3644, lr=0.007645, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:25:58 2021-01-17 18:18:19 [INFO] [TRAIN] epoch=16, iter=10330/40000, loss=0.4150, lr=0.007643, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:25:14 2021-01-17 18:18:24 [INFO] [TRAIN] epoch=16, iter=10340/40000, loss=0.2932, lr=0.007640, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:25:47 2021-01-17 18:18:30 [INFO] [TRAIN] epoch=16, iter=10350/40000, loss=0.3412, lr=0.007638, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:26:52 2021-01-17 18:18:35 [INFO] [TRAIN] epoch=16, iter=10360/40000, loss=0.2597, lr=0.007636, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:26:12 2021-01-17 18:18:40 [INFO] [TRAIN] epoch=16, iter=10370/40000, loss=0.3649, lr=0.007633, batch_cost=0.5432, reader_cost=0.0001 | ETA 04:28:15 2021-01-17 18:18:46 [INFO] [TRAIN] epoch=16, iter=10380/40000, loss=0.3742, lr=0.007631, batch_cost=0.5350, reader_cost=0.0001 | ETA 04:24:05 2021-01-17 18:18:51 [INFO] [TRAIN] epoch=16, iter=10390/40000, loss=0.3149, lr=0.007629, batch_cost=0.5383, reader_cost=0.0001 | ETA 04:25:39 2021-01-17 18:18:57 [INFO] [TRAIN] epoch=16, iter=10400/40000, loss=0.3670, lr=0.007626, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:24:45 2021-01-17 18:19:02 [INFO] [TRAIN] epoch=16, iter=10410/40000, loss=0.3773, lr=0.007624, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:25:58 2021-01-17 18:19:07 [INFO] [TRAIN] epoch=16, iter=10420/40000, loss=0.3030, lr=0.007622, batch_cost=0.5356, reader_cost=0.0001 | ETA 04:24:02 2021-01-17 18:19:13 [INFO] [TRAIN] epoch=16, iter=10430/40000, loss=0.3966, lr=0.007619, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:24:47 2021-01-17 18:19:18 [INFO] [TRAIN] epoch=16, iter=10440/40000, loss=0.4207, lr=0.007617, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:26:03 2021-01-17 18:19:24 [INFO] [TRAIN] epoch=16, iter=10450/40000, loss=0.4447, lr=0.007615, batch_cost=0.5415, reader_cost=0.0001 | ETA 04:26:41 2021-01-17 18:19:29 [INFO] [TRAIN] epoch=16, iter=10460/40000, loss=0.3224, lr=0.007613, batch_cost=0.5408, reader_cost=0.0001 | ETA 04:26:15 2021-01-17 18:19:34 [INFO] [TRAIN] epoch=16, iter=10470/40000, loss=0.2444, lr=0.007610, batch_cost=0.5361, reader_cost=0.0001 | ETA 04:23:50 2021-01-17 18:19:40 [INFO] [TRAIN] epoch=16, iter=10480/40000, loss=0.3233, lr=0.007608, batch_cost=0.5444, reader_cost=0.0001 | ETA 04:27:51 2021-01-17 18:19:45 [INFO] [TRAIN] epoch=16, iter=10490/40000, loss=0.4452, lr=0.007606, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:24:23 2021-01-17 18:19:51 [INFO] [TRAIN] epoch=16, iter=10500/40000, loss=0.4071, lr=0.007603, batch_cost=0.5397, reader_cost=0.0001 | ETA 04:25:20 2021-01-17 18:19:56 [INFO] [TRAIN] epoch=16, iter=10510/40000, loss=0.3334, lr=0.007601, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:25:12 2021-01-17 18:20:01 [INFO] [TRAIN] epoch=16, iter=10520/40000, loss=0.3642, lr=0.007599, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:24:44 2021-01-17 18:20:07 [INFO] [TRAIN] epoch=16, iter=10530/40000, loss=0.3663, lr=0.007596, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:26:07 2021-01-17 18:20:12 [INFO] [TRAIN] epoch=16, iter=10540/40000, loss=0.5086, lr=0.007594, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:25:12 2021-01-17 18:20:18 [INFO] [TRAIN] epoch=16, iter=10550/40000, loss=0.4101, lr=0.007592, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:24:25 2021-01-17 18:20:23 [INFO] [TRAIN] epoch=16, iter=10560/40000, loss=0.4263, lr=0.007589, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:24:30 2021-01-17 18:20:28 [INFO] [TRAIN] epoch=16, iter=10570/40000, loss=0.2553, lr=0.007587, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:23:14 2021-01-17 18:20:34 [INFO] [TRAIN] epoch=17, iter=10580/40000, loss=0.2972, lr=0.007585, batch_cost=0.5338, reader_cost=0.0171 | ETA 04:21:44 2021-01-17 18:20:39 [INFO] [TRAIN] epoch=17, iter=10590/40000, loss=0.3383, lr=0.007582, batch_cost=0.5414, reader_cost=0.0001 | ETA 04:25:21 2021-01-17 18:20:44 [INFO] [TRAIN] epoch=17, iter=10600/40000, loss=0.4110, lr=0.007580, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:25:27 2021-01-17 18:20:50 [INFO] [TRAIN] epoch=17, iter=10610/40000, loss=0.2737, lr=0.007578, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:23:23 2021-01-17 18:20:55 [INFO] [TRAIN] epoch=17, iter=10620/40000, loss=0.3581, lr=0.007575, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:23:37 2021-01-17 18:21:01 [INFO] [TRAIN] epoch=17, iter=10630/40000, loss=0.3988, lr=0.007573, batch_cost=0.5428, reader_cost=0.0001 | ETA 04:25:42 2021-01-17 18:21:06 [INFO] [TRAIN] epoch=17, iter=10640/40000, loss=0.3995, lr=0.007571, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:24:42 2021-01-17 18:21:11 [INFO] [TRAIN] epoch=17, iter=10650/40000, loss=0.3733, lr=0.007568, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:23:37 2021-01-17 18:21:17 [INFO] [TRAIN] epoch=17, iter=10660/40000, loss=0.4125, lr=0.007566, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:24:05 2021-01-17 18:21:22 [INFO] [TRAIN] epoch=17, iter=10670/40000, loss=0.2563, lr=0.007564, batch_cost=0.5374, reader_cost=0.0001 | ETA 04:22:43 2021-01-17 18:21:28 [INFO] [TRAIN] epoch=17, iter=10680/40000, loss=0.4503, lr=0.007561, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:22:14 2021-01-17 18:21:33 [INFO] [TRAIN] epoch=17, iter=10690/40000, loss=0.4072, lr=0.007559, batch_cost=0.5301, reader_cost=0.0001 | ETA 04:18:56 2021-01-17 18:21:38 [INFO] [TRAIN] epoch=17, iter=10700/40000, loss=0.3714, lr=0.007557, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:22:01 2021-01-17 18:21:44 [INFO] [TRAIN] epoch=17, iter=10710/40000, loss=0.2876, lr=0.007555, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:23:50 2021-01-17 18:21:49 [INFO] [TRAIN] epoch=17, iter=10720/40000, loss=0.4458, lr=0.007552, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:22:36 2021-01-17 18:21:54 [INFO] [TRAIN] epoch=17, iter=10730/40000, loss=0.3240, lr=0.007550, batch_cost=0.5435, reader_cost=0.0001 | ETA 04:25:07 2021-01-17 18:22:00 [INFO] [TRAIN] epoch=17, iter=10740/40000, loss=0.3211, lr=0.007548, batch_cost=0.5338, reader_cost=0.0001 | ETA 04:20:17 2021-01-17 18:22:05 [INFO] [TRAIN] epoch=17, iter=10750/40000, loss=0.3292, lr=0.007545, batch_cost=0.5425, reader_cost=0.0001 | ETA 04:24:27 2021-01-17 18:22:11 [INFO] [TRAIN] epoch=17, iter=10760/40000, loss=0.3571, lr=0.007543, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:22:13 2021-01-17 18:22:16 [INFO] [TRAIN] epoch=17, iter=10770/40000, loss=0.4009, lr=0.007541, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:22:48 2021-01-17 18:22:21 [INFO] [TRAIN] epoch=17, iter=10780/40000, loss=0.2139, lr=0.007538, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:22:03 2021-01-17 18:22:27 [INFO] [TRAIN] epoch=17, iter=10790/40000, loss=0.3704, lr=0.007536, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:22:42 2021-01-17 18:22:32 [INFO] [TRAIN] epoch=17, iter=10800/40000, loss=0.3353, lr=0.007534, batch_cost=0.5457, reader_cost=0.0001 | ETA 04:25:35 2021-01-17 18:22:38 [INFO] [TRAIN] epoch=17, iter=10810/40000, loss=0.3469, lr=0.007531, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:23:40 2021-01-17 18:22:43 [INFO] [TRAIN] epoch=17, iter=10820/40000, loss=0.4870, lr=0.007529, batch_cost=0.5402, reader_cost=0.0001 | ETA 04:22:44 2021-01-17 18:22:48 [INFO] [TRAIN] epoch=17, iter=10830/40000, loss=0.2702, lr=0.007527, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:22:27 2021-01-17 18:22:54 [INFO] [TRAIN] epoch=17, iter=10840/40000, loss=0.2568, lr=0.007524, batch_cost=0.5368, reader_cost=0.0001 | ETA 04:20:54 2021-01-17 18:22:59 [INFO] [TRAIN] epoch=17, iter=10850/40000, loss=0.3331, lr=0.007522, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:20:57 2021-01-17 18:23:05 [INFO] [TRAIN] epoch=17, iter=10860/40000, loss=0.3530, lr=0.007520, batch_cost=0.5365, reader_cost=0.0001 | ETA 04:20:32 2021-01-17 18:23:10 [INFO] [TRAIN] epoch=17, iter=10870/40000, loss=0.2914, lr=0.007517, batch_cost=0.5462, reader_cost=0.0001 | ETA 04:25:10 2021-01-17 18:23:15 [INFO] [TRAIN] epoch=17, iter=10880/40000, loss=0.2955, lr=0.007515, batch_cost=0.5437, reader_cost=0.0001 | ETA 04:23:51 2021-01-17 18:23:21 [INFO] [TRAIN] epoch=17, iter=10890/40000, loss=0.2393, lr=0.007513, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:21:34 2021-01-17 18:23:26 [INFO] [TRAIN] epoch=17, iter=10900/40000, loss=0.2478, lr=0.007510, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:21:34 2021-01-17 18:23:32 [INFO] [TRAIN] epoch=17, iter=10910/40000, loss=0.3790, lr=0.007508, batch_cost=0.5429, reader_cost=0.0001 | ETA 04:23:12 2021-01-17 18:23:37 [INFO] [TRAIN] epoch=17, iter=10920/40000, loss=0.3059, lr=0.007506, batch_cost=0.5408, reader_cost=0.0001 | ETA 04:22:07 2021-01-17 18:23:43 [INFO] [TRAIN] epoch=17, iter=10930/40000, loss=0.3273, lr=0.007503, batch_cost=0.5421, reader_cost=0.0001 | ETA 04:22:38 2021-01-17 18:23:48 [INFO] [TRAIN] epoch=17, iter=10940/40000, loss=0.2980, lr=0.007501, batch_cost=0.5341, reader_cost=0.0001 | ETA 04:18:41 2021-01-17 18:23:53 [INFO] [TRAIN] epoch=17, iter=10950/40000, loss=0.3429, lr=0.007499, batch_cost=0.5358, reader_cost=0.0001 | ETA 04:19:24 2021-01-17 18:23:59 [INFO] [TRAIN] epoch=17, iter=10960/40000, loss=0.2919, lr=0.007496, batch_cost=0.5425, reader_cost=0.0001 | ETA 04:22:34 2021-01-17 18:24:04 [INFO] [TRAIN] epoch=17, iter=10970/40000, loss=0.3446, lr=0.007494, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:19:18 2021-01-17 18:24:09 [INFO] [TRAIN] epoch=17, iter=10980/40000, loss=0.4607, lr=0.007492, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:19:32 2021-01-17 18:24:15 [INFO] [TRAIN] epoch=17, iter=10990/40000, loss=0.3046, lr=0.007489, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:22:01 2021-01-17 18:24:20 [INFO] [TRAIN] epoch=17, iter=11000/40000, loss=0.2254, lr=0.007487, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:21:12 2021-01-17 18:24:20 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 18:24:40 [INFO] [EVAL] #Images=1449 mIoU=0.7641 Acc=0.9469 Kappa=0.8825 2021-01-17 18:24:40 [INFO] [EVAL] Class IoU: [0.94 0.8473 0.4275 0.887 0.6967 0.8127 0.9373 0.8786 0.9158 0.2961 0.8893 0.5528 0.8439 0.8617 0.8462 0.8543 0.6228 0.8861 0.4934 0.8837 0.674 ] 2021-01-17 18:24:40 [INFO] [EVAL] Class Acc: [0.9649 0.8694 0.4528 0.9383 0.7611 0.8857 0.9579 0.9272 0.9483 0.7315 0.9631 0.892 0.913 0.9048 0.8987 0.9219 0.8846 0.9359 0.7762 0.9394 0.783 ] 2021-01-17 18:24:47 [INFO] [EVAL] The model with the best validation mIoU (0.7641) was saved at iter 11000. 2021-01-17 18:24:52 [INFO] [TRAIN] epoch=17, iter=11010/40000, loss=0.3398, lr=0.007485, batch_cost=0.5334, reader_cost=0.0001 | ETA 04:17:43 2021-01-17 18:24:58 [INFO] [TRAIN] epoch=17, iter=11020/40000, loss=0.3685, lr=0.007483, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:19:48 2021-01-17 18:25:03 [INFO] [TRAIN] epoch=17, iter=11030/40000, loss=0.2558, lr=0.007480, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:20:57 2021-01-17 18:25:09 [INFO] [TRAIN] epoch=17, iter=11040/40000, loss=0.2541, lr=0.007478, batch_cost=0.5417, reader_cost=0.0001 | ETA 04:21:26 2021-01-17 18:25:14 [INFO] [TRAIN] epoch=17, iter=11050/40000, loss=0.4221, lr=0.007476, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:20:43 2021-01-17 18:25:19 [INFO] [TRAIN] epoch=17, iter=11060/40000, loss=0.3676, lr=0.007473, batch_cost=0.5338, reader_cost=0.0001 | ETA 04:17:28 2021-01-17 18:25:25 [INFO] [TRAIN] epoch=17, iter=11070/40000, loss=0.3090, lr=0.007471, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:18:35 2021-01-17 18:25:30 [INFO] [TRAIN] epoch=17, iter=11080/40000, loss=0.2801, lr=0.007469, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:19:20 2021-01-17 18:25:35 [INFO] [TRAIN] epoch=17, iter=11090/40000, loss=0.2932, lr=0.007466, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:20:36 2021-01-17 18:25:41 [INFO] [TRAIN] epoch=17, iter=11100/40000, loss=0.4131, lr=0.007464, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:19:15 2021-01-17 18:25:46 [INFO] [TRAIN] epoch=17, iter=11110/40000, loss=0.4982, lr=0.007462, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:20:02 2021-01-17 18:25:52 [INFO] [TRAIN] epoch=17, iter=11120/40000, loss=0.5487, lr=0.007459, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:19:34 2021-01-17 18:25:57 [INFO] [TRAIN] epoch=17, iter=11130/40000, loss=0.4057, lr=0.007457, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:19:20 2021-01-17 18:26:02 [INFO] [TRAIN] epoch=17, iter=11140/40000, loss=0.3093, lr=0.007455, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:20:00 2021-01-17 18:26:08 [INFO] [TRAIN] epoch=17, iter=11150/40000, loss=0.4725, lr=0.007452, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:19:43 2021-01-17 18:26:13 [INFO] [TRAIN] epoch=17, iter=11160/40000, loss=0.3720, lr=0.007450, batch_cost=0.5411, reader_cost=0.0001 | ETA 04:20:04 2021-01-17 18:26:19 [INFO] [TRAIN] epoch=17, iter=11170/40000, loss=0.3683, lr=0.007448, batch_cost=0.5368, reader_cost=0.0001 | ETA 04:17:55 2021-01-17 18:26:24 [INFO] [TRAIN] epoch=17, iter=11180/40000, loss=0.4211, lr=0.007445, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:19:02 2021-01-17 18:26:29 [INFO] [TRAIN] epoch=17, iter=11190/40000, loss=0.2423, lr=0.007443, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:17:57 2021-01-17 18:26:35 [INFO] [TRAIN] epoch=17, iter=11200/40000, loss=0.3728, lr=0.007441, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:18:04 2021-01-17 18:26:40 [INFO] [TRAIN] epoch=17, iter=11210/40000, loss=0.4081, lr=0.007438, batch_cost=0.5351, reader_cost=0.0001 | ETA 04:16:46 2021-01-17 18:26:46 [INFO] [TRAIN] epoch=17, iter=11220/40000, loss=0.5213, lr=0.007436, batch_cost=0.5427, reader_cost=0.0001 | ETA 04:20:17 2021-01-17 18:26:51 [INFO] [TRAIN] epoch=17, iter=11230/40000, loss=0.2984, lr=0.007434, batch_cost=0.5427, reader_cost=0.0001 | ETA 04:20:12 2021-01-17 18:26:56 [INFO] [TRAIN] epoch=18, iter=11240/40000, loss=0.3687, lr=0.007431, batch_cost=0.5336, reader_cost=0.0153 | ETA 04:15:47 2021-01-17 18:27:02 [INFO] [TRAIN] epoch=18, iter=11250/40000, loss=0.3728, lr=0.007429, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:18:08 2021-01-17 18:27:07 [INFO] [TRAIN] epoch=18, iter=11260/40000, loss=0.4697, lr=0.007427, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:17:03 2021-01-17 18:27:12 [INFO] [TRAIN] epoch=18, iter=11270/40000, loss=0.2657, lr=0.007424, batch_cost=0.5403, reader_cost=0.0001 | ETA 04:18:43 2021-01-17 18:27:18 [INFO] [TRAIN] epoch=18, iter=11280/40000, loss=0.3426, lr=0.007422, batch_cost=0.5332, reader_cost=0.0001 | ETA 04:15:13 2021-01-17 18:27:23 [INFO] [TRAIN] epoch=18, iter=11290/40000, loss=0.2598, lr=0.007420, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:17:17 2021-01-17 18:27:29 [INFO] [TRAIN] epoch=18, iter=11300/40000, loss=0.2687, lr=0.007417, batch_cost=0.5412, reader_cost=0.0001 | ETA 04:18:53 2021-01-17 18:27:34 [INFO] [TRAIN] epoch=18, iter=11310/40000, loss=0.3387, lr=0.007415, batch_cost=0.5434, reader_cost=0.0001 | ETA 04:19:48 2021-01-17 18:27:39 [INFO] [TRAIN] epoch=18, iter=11320/40000, loss=0.3169, lr=0.007413, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:18:07 2021-01-17 18:27:45 [INFO] [TRAIN] epoch=18, iter=11330/40000, loss=0.5129, lr=0.007410, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:16:53 2021-01-17 18:27:50 [INFO] [TRAIN] epoch=18, iter=11340/40000, loss=0.3275, lr=0.007408, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:18:00 2021-01-17 18:27:56 [INFO] [TRAIN] epoch=18, iter=11350/40000, loss=0.3649, lr=0.007406, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:18:02 2021-01-17 18:28:01 [INFO] [TRAIN] epoch=18, iter=11360/40000, loss=0.4435, lr=0.007403, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:16:19 2021-01-17 18:28:06 [INFO] [TRAIN] epoch=18, iter=11370/40000, loss=0.2985, lr=0.007401, batch_cost=0.5417, reader_cost=0.0001 | ETA 04:18:29 2021-01-17 18:28:12 [INFO] [TRAIN] epoch=18, iter=11380/40000, loss=0.3487, lr=0.007399, batch_cost=0.5358, reader_cost=0.0001 | ETA 04:15:35 2021-01-17 18:28:17 [INFO] [TRAIN] epoch=18, iter=11390/40000, loss=0.3856, lr=0.007396, batch_cost=0.5427, reader_cost=0.0001 | ETA 04:18:45 2021-01-17 18:28:22 [INFO] [TRAIN] epoch=18, iter=11400/40000, loss=0.3756, lr=0.007394, batch_cost=0.5336, reader_cost=0.0001 | ETA 04:14:20 2021-01-17 18:28:28 [INFO] [TRAIN] epoch=18, iter=11410/40000, loss=0.3315, lr=0.007392, batch_cost=0.5413, reader_cost=0.0001 | ETA 04:17:54 2021-01-17 18:28:33 [INFO] [TRAIN] epoch=18, iter=11420/40000, loss=0.3439, lr=0.007390, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:14:45 2021-01-17 18:28:39 [INFO] [TRAIN] epoch=18, iter=11430/40000, loss=0.2684, lr=0.007387, batch_cost=0.5411, reader_cost=0.0001 | ETA 04:17:39 2021-01-17 18:28:44 [INFO] [TRAIN] epoch=18, iter=11440/40000, loss=0.2945, lr=0.007385, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:16:03 2021-01-17 18:28:49 [INFO] [TRAIN] epoch=18, iter=11450/40000, loss=0.3692, lr=0.007383, batch_cost=0.5391, reader_cost=0.0001 | ETA 04:16:31 2021-01-17 18:28:55 [INFO] [TRAIN] epoch=18, iter=11460/40000, loss=0.3505, lr=0.007380, batch_cost=0.5357, reader_cost=0.0001 | ETA 04:14:50 2021-01-17 18:29:00 [INFO] [TRAIN] epoch=18, iter=11470/40000, loss=0.3840, lr=0.007378, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:14:18 2021-01-17 18:29:05 [INFO] [TRAIN] epoch=18, iter=11480/40000, loss=0.3617, lr=0.007376, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:15:03 2021-01-17 18:29:11 [INFO] [TRAIN] epoch=18, iter=11490/40000, loss=0.3488, lr=0.007373, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:15:42 2021-01-17 18:29:16 [INFO] [TRAIN] epoch=18, iter=11500/40000, loss=0.3925, lr=0.007371, batch_cost=0.5347, reader_cost=0.0001 | ETA 04:14:00 2021-01-17 18:29:22 [INFO] [TRAIN] epoch=18, iter=11510/40000, loss=0.3682, lr=0.007369, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:15:07 2021-01-17 18:29:27 [INFO] [TRAIN] epoch=18, iter=11520/40000, loss=0.3729, lr=0.007366, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:16:07 2021-01-17 18:29:32 [INFO] [TRAIN] epoch=18, iter=11530/40000, loss=0.3874, lr=0.007364, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:14:19 2021-01-17 18:29:38 [INFO] [TRAIN] epoch=18, iter=11540/40000, loss=0.3158, lr=0.007362, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:15:10 2021-01-17 18:29:43 [INFO] [TRAIN] epoch=18, iter=11550/40000, loss=0.2870, lr=0.007359, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:14:58 2021-01-17 18:29:49 [INFO] [TRAIN] epoch=18, iter=11560/40000, loss=0.3417, lr=0.007357, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:16:26 2021-01-17 18:29:54 [INFO] [TRAIN] epoch=18, iter=11570/40000, loss=0.4242, lr=0.007355, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:15:52 2021-01-17 18:29:59 [INFO] [TRAIN] epoch=18, iter=11580/40000, loss=0.3996, lr=0.007352, batch_cost=0.5319, reader_cost=0.0001 | ETA 04:11:55 2021-01-17 18:30:05 [INFO] [TRAIN] epoch=18, iter=11590/40000, loss=0.2761, lr=0.007350, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:16:36 2021-01-17 18:30:10 [INFO] [TRAIN] epoch=18, iter=11600/40000, loss=0.3563, lr=0.007348, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:14:36 2021-01-17 18:30:15 [INFO] [TRAIN] epoch=18, iter=11610/40000, loss=0.4301, lr=0.007345, batch_cost=0.5336, reader_cost=0.0001 | ETA 04:12:27 2021-01-17 18:30:21 [INFO] [TRAIN] epoch=18, iter=11620/40000, loss=0.4076, lr=0.007343, batch_cost=0.5427, reader_cost=0.0001 | ETA 04:16:41 2021-01-17 18:30:26 [INFO] [TRAIN] epoch=18, iter=11630/40000, loss=0.2812, lr=0.007341, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:14:42 2021-01-17 18:30:32 [INFO] [TRAIN] epoch=18, iter=11640/40000, loss=0.4839, lr=0.007338, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:14:28 2021-01-17 18:30:37 [INFO] [TRAIN] epoch=18, iter=11650/40000, loss=0.2705, lr=0.007336, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:16:05 2021-01-17 18:30:42 [INFO] [TRAIN] epoch=18, iter=11660/40000, loss=0.3411, lr=0.007334, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:14:00 2021-01-17 18:30:48 [INFO] [TRAIN] epoch=18, iter=11670/40000, loss=0.2799, lr=0.007331, batch_cost=0.5429, reader_cost=0.0001 | ETA 04:16:19 2021-01-17 18:30:53 [INFO] [TRAIN] epoch=18, iter=11680/40000, loss=0.3819, lr=0.007329, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:14:10 2021-01-17 18:30:59 [INFO] [TRAIN] epoch=18, iter=11690/40000, loss=0.3608, lr=0.007327, batch_cost=0.5432, reader_cost=0.0001 | ETA 04:16:17 2021-01-17 18:31:04 [INFO] [TRAIN] epoch=18, iter=11700/40000, loss=0.3659, lr=0.007324, batch_cost=0.5374, reader_cost=0.0001 | ETA 04:13:27 2021-01-17 18:31:09 [INFO] [TRAIN] epoch=18, iter=11710/40000, loss=0.2968, lr=0.007322, batch_cost=0.5412, reader_cost=0.0001 | ETA 04:15:11 2021-01-17 18:31:15 [INFO] [TRAIN] epoch=18, iter=11720/40000, loss=0.2740, lr=0.007320, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:14:14 2021-01-17 18:31:20 [INFO] [TRAIN] epoch=18, iter=11730/40000, loss=0.4317, lr=0.007317, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:12:38 2021-01-17 18:31:26 [INFO] [TRAIN] epoch=18, iter=11740/40000, loss=0.4598, lr=0.007315, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:12:54 2021-01-17 18:31:31 [INFO] [TRAIN] epoch=18, iter=11750/40000, loss=0.3446, lr=0.007313, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:13:23 2021-01-17 18:31:36 [INFO] [TRAIN] epoch=18, iter=11760/40000, loss=0.5095, lr=0.007310, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:14:33 2021-01-17 18:31:42 [INFO] [TRAIN] epoch=18, iter=11770/40000, loss=0.3742, lr=0.007308, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:14:15 2021-01-17 18:31:47 [INFO] [TRAIN] epoch=18, iter=11780/40000, loss=0.4312, lr=0.007306, batch_cost=0.5421, reader_cost=0.0001 | ETA 04:14:56 2021-01-17 18:31:53 [INFO] [TRAIN] epoch=18, iter=11790/40000, loss=0.3092, lr=0.007303, batch_cost=0.5443, reader_cost=0.0001 | ETA 04:15:53 2021-01-17 18:31:58 [INFO] [TRAIN] epoch=18, iter=11800/40000, loss=0.2932, lr=0.007301, batch_cost=0.5442, reader_cost=0.0001 | ETA 04:15:45 2021-01-17 18:32:03 [INFO] [TRAIN] epoch=18, iter=11810/40000, loss=0.2765, lr=0.007299, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:13:14 2021-01-17 18:32:09 [INFO] [TRAIN] epoch=18, iter=11820/40000, loss=0.3949, lr=0.007296, batch_cost=0.5341, reader_cost=0.0001 | ETA 04:10:51 2021-01-17 18:32:14 [INFO] [TRAIN] epoch=18, iter=11830/40000, loss=0.3890, lr=0.007294, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:13:28 2021-01-17 18:32:20 [INFO] [TRAIN] epoch=18, iter=11840/40000, loss=0.2880, lr=0.007292, batch_cost=0.5433, reader_cost=0.0001 | ETA 04:14:57 2021-01-17 18:32:25 [INFO] [TRAIN] epoch=18, iter=11850/40000, loss=0.3642, lr=0.007289, batch_cost=0.5342, reader_cost=0.0001 | ETA 04:10:37 2021-01-17 18:32:30 [INFO] [TRAIN] epoch=18, iter=11860/40000, loss=0.2719, lr=0.007287, batch_cost=0.5429, reader_cost=0.0001 | ETA 04:14:37 2021-01-17 18:32:36 [INFO] [TRAIN] epoch=18, iter=11870/40000, loss=0.3173, lr=0.007285, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:13:09 2021-01-17 18:32:41 [INFO] [TRAIN] epoch=18, iter=11880/40000, loss=0.3972, lr=0.007282, batch_cost=0.5416, reader_cost=0.0001 | ETA 04:13:50 2021-01-17 18:32:47 [INFO] [TRAIN] epoch=18, iter=11890/40000, loss=0.5021, lr=0.007280, batch_cost=0.5426, reader_cost=0.0001 | ETA 04:14:12 2021-01-17 18:32:52 [INFO] [TRAIN] epoch=19, iter=11900/40000, loss=0.3965, lr=0.007278, batch_cost=0.5352, reader_cost=0.0165 | ETA 04:10:38 2021-01-17 18:32:57 [INFO] [TRAIN] epoch=19, iter=11910/40000, loss=0.4338, lr=0.007275, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:11:12 2021-01-17 18:33:03 [INFO] [TRAIN] epoch=19, iter=11920/40000, loss=0.5265, lr=0.007273, batch_cost=0.5355, reader_cost=0.0001 | ETA 04:10:37 2021-01-17 18:33:08 [INFO] [TRAIN] epoch=19, iter=11930/40000, loss=0.5233, lr=0.007271, batch_cost=0.5393, reader_cost=0.0001 | ETA 04:12:19 2021-01-17 18:33:14 [INFO] [TRAIN] epoch=19, iter=11940/40000, loss=0.4117, lr=0.007268, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:13:55 2021-01-17 18:33:19 [INFO] [TRAIN] epoch=19, iter=11950/40000, loss=0.4216, lr=0.007266, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:12:54 2021-01-17 18:33:24 [INFO] [TRAIN] epoch=19, iter=11960/40000, loss=0.4353, lr=0.007264, batch_cost=0.5374, reader_cost=0.0001 | ETA 04:11:08 2021-01-17 18:33:30 [INFO] [TRAIN] epoch=19, iter=11970/40000, loss=0.5402, lr=0.007261, batch_cost=0.5366, reader_cost=0.0001 | ETA 04:10:39 2021-01-17 18:33:35 [INFO] [TRAIN] epoch=19, iter=11980/40000, loss=0.4769, lr=0.007259, batch_cost=0.5446, reader_cost=0.0001 | ETA 04:14:19 2021-01-17 18:33:41 [INFO] [TRAIN] epoch=19, iter=11990/40000, loss=0.3276, lr=0.007257, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:11:30 2021-01-17 18:33:46 [INFO] [TRAIN] epoch=19, iter=12000/40000, loss=0.2921, lr=0.007254, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:11:00 2021-01-17 18:33:46 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 18:34:06 [INFO] [EVAL] #Images=1449 mIoU=0.7209 Acc=0.9377 Kappa=0.8624 2021-01-17 18:34:06 [INFO] [EVAL] Class IoU: [0.9368 0.8648 0.392 0.8375 0.6543 0.8066 0.8448 0.8159 0.8939 0.3572 0.6258 0.5383 0.7762 0.7934 0.8024 0.8433 0.5808 0.767 0.4678 0.8518 0.6876] 2021-01-17 18:34:06 [INFO] [EVAL] Class Acc: [0.9641 0.8887 0.408 0.9454 0.6878 0.8747 0.8587 0.9067 0.9489 0.5388 0.9788 0.9396 0.835 0.8438 0.9186 0.9284 0.7917 0.8759 0.7463 0.9442 0.806 ] 2021-01-17 18:34:10 [INFO] [EVAL] The model with the best validation mIoU (0.7641) was saved at iter 11000. 2021-01-17 18:34:16 [INFO] [TRAIN] epoch=19, iter=12010/40000, loss=0.4012, lr=0.007252, batch_cost=0.5369, reader_cost=0.0001 | ETA 04:10:26 2021-01-17 18:34:21 [INFO] [TRAIN] epoch=19, iter=12020/40000, loss=0.5071, lr=0.007250, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:09:24 2021-01-17 18:34:26 [INFO] [TRAIN] epoch=19, iter=12030/40000, loss=0.3337, lr=0.007247, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:10:00 2021-01-17 18:34:32 [INFO] [TRAIN] epoch=19, iter=12040/40000, loss=0.4415, lr=0.007245, batch_cost=0.5360, reader_cost=0.0001 | ETA 04:09:45 2021-01-17 18:34:37 [INFO] [TRAIN] epoch=19, iter=12050/40000, loss=0.3433, lr=0.007243, batch_cost=0.5428, reader_cost=0.0001 | ETA 04:12:51 2021-01-17 18:34:43 [INFO] [TRAIN] epoch=19, iter=12060/40000, loss=0.3363, lr=0.007240, batch_cost=0.5354, reader_cost=0.0001 | ETA 04:09:17 2021-01-17 18:34:48 [INFO] [TRAIN] epoch=19, iter=12070/40000, loss=0.2608, lr=0.007238, batch_cost=0.5416, reader_cost=0.0001 | ETA 04:12:07 2021-01-17 18:34:53 [INFO] [TRAIN] epoch=19, iter=12080/40000, loss=0.4084, lr=0.007236, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:09:57 2021-01-17 18:34:59 [INFO] [TRAIN] epoch=19, iter=12090/40000, loss=0.3305, lr=0.007233, batch_cost=0.5400, reader_cost=0.0001 | ETA 04:11:11 2021-01-17 18:35:04 [INFO] [TRAIN] epoch=19, iter=12100/40000, loss=0.3193, lr=0.007231, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:10:07 2021-01-17 18:35:10 [INFO] [TRAIN] epoch=19, iter=12110/40000, loss=0.2710, lr=0.007229, batch_cost=0.5472, reader_cost=0.0001 | ETA 04:14:20 2021-01-17 18:35:15 [INFO] [TRAIN] epoch=19, iter=12120/40000, loss=0.4247, lr=0.007226, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:10:56 2021-01-17 18:35:20 [INFO] [TRAIN] epoch=19, iter=12130/40000, loss=0.5708, lr=0.007224, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:09:30 2021-01-17 18:35:26 [INFO] [TRAIN] epoch=19, iter=12140/40000, loss=0.2801, lr=0.007222, batch_cost=0.5468, reader_cost=0.0001 | ETA 04:13:52 2021-01-17 18:35:31 [INFO] [TRAIN] epoch=19, iter=12150/40000, loss=0.2874, lr=0.007219, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:12:01 2021-01-17 18:35:37 [INFO] [TRAIN] epoch=19, iter=12160/40000, loss=0.4089, lr=0.007217, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:11:26 2021-01-17 18:35:42 [INFO] [TRAIN] epoch=19, iter=12170/40000, loss=0.4441, lr=0.007215, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:09:37 2021-01-17 18:35:47 [INFO] [TRAIN] epoch=19, iter=12180/40000, loss=0.3950, lr=0.007212, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:09:41 2021-01-17 18:35:53 [INFO] [TRAIN] epoch=19, iter=12190/40000, loss=0.3482, lr=0.007210, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:09:25 2021-01-17 18:35:58 [INFO] [TRAIN] epoch=19, iter=12200/40000, loss=0.3645, lr=0.007208, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:09:56 2021-01-17 18:36:04 [INFO] [TRAIN] epoch=19, iter=12210/40000, loss=0.4210, lr=0.007205, batch_cost=0.5349, reader_cost=0.0001 | ETA 04:07:44 2021-01-17 18:36:09 [INFO] [TRAIN] epoch=19, iter=12220/40000, loss=0.2947, lr=0.007203, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:10:25 2021-01-17 18:36:14 [INFO] [TRAIN] epoch=19, iter=12230/40000, loss=0.3154, lr=0.007201, batch_cost=0.5371, reader_cost=0.0001 | ETA 04:08:36 2021-01-17 18:36:20 [INFO] [TRAIN] epoch=19, iter=12240/40000, loss=0.3810, lr=0.007198, batch_cost=0.5416, reader_cost=0.0001 | ETA 04:10:34 2021-01-17 18:36:25 [INFO] [TRAIN] epoch=19, iter=12250/40000, loss=0.4004, lr=0.007196, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:10:39 2021-01-17 18:36:31 [INFO] [TRAIN] epoch=19, iter=12260/40000, loss=0.2646, lr=0.007194, batch_cost=0.5444, reader_cost=0.0001 | ETA 04:11:42 2021-01-17 18:36:36 [INFO] [TRAIN] epoch=19, iter=12270/40000, loss=0.3849, lr=0.007191, batch_cost=0.5388, reader_cost=0.0001 | ETA 04:09:00 2021-01-17 18:36:41 [INFO] [TRAIN] epoch=19, iter=12280/40000, loss=0.2971, lr=0.007189, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:08:48 2021-01-17 18:36:47 [INFO] [TRAIN] epoch=19, iter=12290/40000, loss=0.3297, lr=0.007187, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:08:34 2021-01-17 18:36:52 [INFO] [TRAIN] epoch=19, iter=12300/40000, loss=0.3061, lr=0.007184, batch_cost=0.5329, reader_cost=0.0001 | ETA 04:06:01 2021-01-17 18:36:57 [INFO] [TRAIN] epoch=19, iter=12310/40000, loss=0.3082, lr=0.007182, batch_cost=0.5375, reader_cost=0.0001 | ETA 04:08:03 2021-01-17 18:37:03 [INFO] [TRAIN] epoch=19, iter=12320/40000, loss=0.2765, lr=0.007180, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:06:43 2021-01-17 18:37:08 [INFO] [TRAIN] epoch=19, iter=12330/40000, loss=0.5244, lr=0.007177, batch_cost=0.5359, reader_cost=0.0001 | ETA 04:07:09 2021-01-17 18:37:14 [INFO] [TRAIN] epoch=19, iter=12340/40000, loss=0.3126, lr=0.007175, batch_cost=0.5434, reader_cost=0.0001 | ETA 04:10:31 2021-01-17 18:37:19 [INFO] [TRAIN] epoch=19, iter=12350/40000, loss=0.3309, lr=0.007173, batch_cost=0.5362, reader_cost=0.0001 | ETA 04:07:05 2021-01-17 18:37:24 [INFO] [TRAIN] epoch=19, iter=12360/40000, loss=0.4575, lr=0.007170, batch_cost=0.5348, reader_cost=0.0001 | ETA 04:06:20 2021-01-17 18:37:30 [INFO] [TRAIN] epoch=19, iter=12370/40000, loss=0.3066, lr=0.007168, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:07:49 2021-01-17 18:37:35 [INFO] [TRAIN] epoch=19, iter=12380/40000, loss=0.3495, lr=0.007166, batch_cost=0.5403, reader_cost=0.0001 | ETA 04:08:42 2021-01-17 18:37:40 [INFO] [TRAIN] epoch=19, iter=12390/40000, loss=0.3087, lr=0.007163, batch_cost=0.5365, reader_cost=0.0001 | ETA 04:06:52 2021-01-17 18:37:46 [INFO] [TRAIN] epoch=19, iter=12400/40000, loss=0.3784, lr=0.007161, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:08:21 2021-01-17 18:37:51 [INFO] [TRAIN] epoch=19, iter=12410/40000, loss=0.4031, lr=0.007159, batch_cost=0.5354, reader_cost=0.0001 | ETA 04:06:11 2021-01-17 18:37:57 [INFO] [TRAIN] epoch=19, iter=12420/40000, loss=0.5287, lr=0.007156, batch_cost=0.5428, reader_cost=0.0001 | ETA 04:09:30 2021-01-17 18:38:02 [INFO] [TRAIN] epoch=19, iter=12430/40000, loss=0.3051, lr=0.007154, batch_cost=0.5351, reader_cost=0.0001 | ETA 04:05:52 2021-01-17 18:38:07 [INFO] [TRAIN] epoch=19, iter=12440/40000, loss=0.4315, lr=0.007152, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:08:30 2021-01-17 18:38:13 [INFO] [TRAIN] epoch=19, iter=12450/40000, loss=0.4674, lr=0.007149, batch_cost=0.5353, reader_cost=0.0001 | ETA 04:05:47 2021-01-17 18:38:18 [INFO] [TRAIN] epoch=19, iter=12460/40000, loss=0.2468, lr=0.007147, batch_cost=0.5319, reader_cost=0.0001 | ETA 04:04:08 2021-01-17 18:38:23 [INFO] [TRAIN] epoch=19, iter=12470/40000, loss=0.4521, lr=0.007145, batch_cost=0.5372, reader_cost=0.0001 | ETA 04:06:30 2021-01-17 18:38:29 [INFO] [TRAIN] epoch=19, iter=12480/40000, loss=0.4123, lr=0.007142, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:06:47 2021-01-17 18:38:34 [INFO] [TRAIN] epoch=19, iter=12490/40000, loss=0.4665, lr=0.007140, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:06:59 2021-01-17 18:38:40 [INFO] [TRAIN] epoch=19, iter=12500/40000, loss=0.4779, lr=0.007138, batch_cost=0.5429, reader_cost=0.0001 | ETA 04:08:49 2021-01-17 18:38:45 [INFO] [TRAIN] epoch=19, iter=12510/40000, loss=0.4026, lr=0.007135, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:06:55 2021-01-17 18:38:50 [INFO] [TRAIN] epoch=19, iter=12520/40000, loss=0.4215, lr=0.007133, batch_cost=0.5364, reader_cost=0.0001 | ETA 04:05:40 2021-01-17 18:38:56 [INFO] [TRAIN] epoch=19, iter=12530/40000, loss=0.2857, lr=0.007131, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:05:32 2021-01-17 18:39:01 [INFO] [TRAIN] epoch=19, iter=12540/40000, loss=0.3506, lr=0.007128, batch_cost=0.5344, reader_cost=0.0001 | ETA 04:04:33 2021-01-17 18:39:07 [INFO] [TRAIN] epoch=19, iter=12550/40000, loss=0.3494, lr=0.007126, batch_cost=0.5419, reader_cost=0.0001 | ETA 04:07:55 2021-01-17 18:39:12 [INFO] [TRAIN] epoch=20, iter=12560/40000, loss=0.3471, lr=0.007124, batch_cost=0.5312, reader_cost=0.0141 | ETA 04:02:56 2021-01-17 18:39:17 [INFO] [TRAIN] epoch=20, iter=12570/40000, loss=0.3735, lr=0.007121, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:05:59 2021-01-17 18:39:23 [INFO] [TRAIN] epoch=20, iter=12580/40000, loss=0.3347, lr=0.007119, batch_cost=0.5385, reader_cost=0.0001 | ETA 04:06:05 2021-01-17 18:39:28 [INFO] [TRAIN] epoch=20, iter=12590/40000, loss=0.3173, lr=0.007117, batch_cost=0.5367, reader_cost=0.0001 | ETA 04:05:11 2021-01-17 18:39:33 [INFO] [TRAIN] epoch=20, iter=12600/40000, loss=0.4140, lr=0.007114, batch_cost=0.5378, reader_cost=0.0001 | ETA 04:05:36 2021-01-17 18:39:39 [INFO] [TRAIN] epoch=20, iter=12610/40000, loss=0.3032, lr=0.007112, batch_cost=0.5370, reader_cost=0.0001 | ETA 04:05:08 2021-01-17 18:39:44 [INFO] [TRAIN] epoch=20, iter=12620/40000, loss=0.2553, lr=0.007110, batch_cost=0.5344, reader_cost=0.0001 | ETA 04:03:51 2021-01-17 18:39:49 [INFO] [TRAIN] epoch=20, iter=12630/40000, loss=0.2844, lr=0.007107, batch_cost=0.5403, reader_cost=0.0001 | ETA 04:06:27 2021-01-17 18:39:55 [INFO] [TRAIN] epoch=20, iter=12640/40000, loss=0.3089, lr=0.007105, batch_cost=0.5352, reader_cost=0.0001 | ETA 04:04:03 2021-01-17 18:40:00 [INFO] [TRAIN] epoch=20, iter=12650/40000, loss=0.3628, lr=0.007103, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:06:23 2021-01-17 18:40:06 [INFO] [TRAIN] epoch=20, iter=12660/40000, loss=0.3529, lr=0.007100, batch_cost=0.5414, reader_cost=0.0001 | ETA 04:06:42 2021-01-17 18:40:11 [INFO] [TRAIN] epoch=20, iter=12670/40000, loss=0.3524, lr=0.007098, batch_cost=0.5380, reader_cost=0.0001 | ETA 04:05:04 2021-01-17 18:40:16 [INFO] [TRAIN] epoch=20, iter=12680/40000, loss=0.3539, lr=0.007096, batch_cost=0.5392, reader_cost=0.0001 | ETA 04:05:31 2021-01-17 18:40:22 [INFO] [TRAIN] epoch=20, iter=12690/40000, loss=0.4063, lr=0.007093, batch_cost=0.5394, reader_cost=0.0001 | ETA 04:05:31 2021-01-17 18:40:27 [INFO] [TRAIN] epoch=20, iter=12700/40000, loss=0.3713, lr=0.007091, batch_cost=0.5384, reader_cost=0.0001 | ETA 04:04:57 2021-01-17 18:40:33 [INFO] [TRAIN] epoch=20, iter=12710/40000, loss=0.2332, lr=0.007089, batch_cost=0.5389, reader_cost=0.0001 | ETA 04:05:05 2021-01-17 18:40:38 [INFO] [TRAIN] epoch=20, iter=12720/40000, loss=0.2733, lr=0.007086, batch_cost=0.5383, reader_cost=0.0001 | ETA 04:04:45 2021-01-17 18:40:43 [INFO] [TRAIN] epoch=20, iter=12730/40000, loss=0.3260, lr=0.007084, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:04:24 2021-01-17 18:40:49 [INFO] [TRAIN] epoch=20, iter=12740/40000, loss=0.3304, lr=0.007082, batch_cost=0.5382, reader_cost=0.0001 | ETA 04:04:30 2021-01-17 18:40:54 [INFO] [TRAIN] epoch=20, iter=12750/40000, loss=0.2992, lr=0.007079, batch_cost=0.5368, reader_cost=0.0001 | ETA 04:03:46 2021-01-17 18:40:59 [INFO] [TRAIN] epoch=20, iter=12760/40000, loss=0.2875, lr=0.007077, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:04:42 2021-01-17 18:41:05 [INFO] [TRAIN] epoch=20, iter=12770/40000, loss=0.3408, lr=0.007075, batch_cost=0.5424, reader_cost=0.0001 | ETA 04:06:08 2021-01-17 18:41:10 [INFO] [TRAIN] epoch=20, iter=12780/40000, loss=0.3992, lr=0.007072, batch_cost=0.5387, reader_cost=0.0001 | ETA 04:04:22 2021-01-17 18:41:16 [INFO] [TRAIN] epoch=20, iter=12790/40000, loss=0.3337, lr=0.007070, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:04:26 2021-01-17 18:41:21 [INFO] [TRAIN] epoch=20, iter=12800/40000, loss=0.2983, lr=0.007068, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:05:15 2021-01-17 18:41:26 [INFO] [TRAIN] epoch=20, iter=12810/40000, loss=0.3817, lr=0.007065, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:03:37 2021-01-17 18:41:32 [INFO] [TRAIN] epoch=20, iter=12820/40000, loss=0.3542, lr=0.007063, batch_cost=0.5363, reader_cost=0.0001 | ETA 04:02:55 2021-01-17 18:41:37 [INFO] [TRAIN] epoch=20, iter=12830/40000, loss=0.2331, lr=0.007061, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:03:34 2021-01-17 18:41:43 [INFO] [TRAIN] epoch=20, iter=12840/40000, loss=0.4744, lr=0.007058, batch_cost=0.5407, reader_cost=0.0001 | ETA 04:04:45 2021-01-17 18:41:48 [INFO] [TRAIN] epoch=20, iter=12850/40000, loss=0.3786, lr=0.007056, batch_cost=0.5432, reader_cost=0.0001 | ETA 04:05:47 2021-01-17 18:41:53 [INFO] [TRAIN] epoch=20, iter=12860/40000, loss=0.4352, lr=0.007054, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:04:04 2021-01-17 18:41:59 [INFO] [TRAIN] epoch=20, iter=12870/40000, loss=0.2696, lr=0.007051, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:02:57 2021-01-17 18:42:04 [INFO] [TRAIN] epoch=20, iter=12880/40000, loss=0.3858, lr=0.007049, batch_cost=0.5398, reader_cost=0.0001 | ETA 04:03:58 2021-01-17 18:42:10 [INFO] [TRAIN] epoch=20, iter=12890/40000, loss=0.4106, lr=0.007047, batch_cost=0.5422, reader_cost=0.0001 | ETA 04:05:00 2021-01-17 18:42:15 [INFO] [TRAIN] epoch=20, iter=12900/40000, loss=0.4385, lr=0.007044, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:02:39 2021-01-17 18:42:20 [INFO] [TRAIN] epoch=20, iter=12910/40000, loss=0.3267, lr=0.007042, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:04:15 2021-01-17 18:42:26 [INFO] [TRAIN] epoch=20, iter=12920/40000, loss=0.2530, lr=0.007040, batch_cost=0.5403, reader_cost=0.0001 | ETA 04:03:50 2021-01-17 18:42:31 [INFO] [TRAIN] epoch=20, iter=12930/40000, loss=0.2987, lr=0.007037, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:04:04 2021-01-17 18:42:37 [INFO] [TRAIN] epoch=20, iter=12940/40000, loss=0.3754, lr=0.007035, batch_cost=0.5386, reader_cost=0.0001 | ETA 04:02:53 2021-01-17 18:42:42 [INFO] [TRAIN] epoch=20, iter=12950/40000, loss=0.3545, lr=0.007033, batch_cost=0.5410, reader_cost=0.0001 | ETA 04:03:55 2021-01-17 18:42:47 [INFO] [TRAIN] epoch=20, iter=12960/40000, loss=0.3328, lr=0.007030, batch_cost=0.5426, reader_cost=0.0001 | ETA 04:04:30 2021-01-17 18:42:53 [INFO] [TRAIN] epoch=20, iter=12970/40000, loss=0.4190, lr=0.007028, batch_cost=0.5430, reader_cost=0.0001 | ETA 04:04:36 2021-01-17 18:42:58 [INFO] [TRAIN] epoch=20, iter=12980/40000, loss=0.3142, lr=0.007026, batch_cost=0.5417, reader_cost=0.0001 | ETA 04:03:57 2021-01-17 18:43:04 [INFO] [TRAIN] epoch=20, iter=12990/40000, loss=0.4312, lr=0.007023, batch_cost=0.5377, reader_cost=0.0001 | ETA 04:02:03 2021-01-17 18:43:09 [INFO] [TRAIN] epoch=20, iter=13000/40000, loss=0.4605, lr=0.007021, batch_cost=0.5390, reader_cost=0.0001 | ETA 04:02:33 2021-01-17 18:43:09 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 18:43:29 [INFO] [EVAL] #Images=1449 mIoU=0.7677 Acc=0.9474 Kappa=0.8828 2021-01-17 18:43:29 [INFO] [EVAL] Class IoU: [0.941 0.8961 0.4085 0.8961 0.7003 0.8123 0.945 0.8429 0.9128 0.4185 0.8552 0.4694 0.8738 0.8682 0.8297 0.8572 0.6192 0.8787 0.473 0.8795 0.7437] 2021-01-17 18:43:29 [INFO] [EVAL] Class Acc: [0.9625 0.9244 0.4221 0.9413 0.8137 0.8856 0.9694 0.9227 0.9482 0.6604 0.9778 0.8863 0.9204 0.9029 0.9251 0.9366 0.8305 0.93 0.7948 0.9531 0.9432] 2021-01-17 18:43:36 [INFO] [EVAL] The model with the best validation mIoU (0.7677) was saved at iter 13000. 2021-01-17 18:43:41 [INFO] [TRAIN] epoch=20, iter=13010/40000, loss=0.3501, lr=0.007018, batch_cost=0.5354, reader_cost=0.0001 | ETA 04:00:49 2021-01-17 18:43:46 [INFO] [TRAIN] epoch=20, iter=13020/40000, loss=0.3801, lr=0.007016, batch_cost=0.5373, reader_cost=0.0001 | ETA 04:01:35 2021-01-17 18:43:52 [INFO] [TRAIN] epoch=20, iter=13030/40000, loss=0.3654, lr=0.007014, batch_cost=0.5398, reader_cost=0.0001 | ETA 04:02:38 2021-01-17 18:43:57 [INFO] [TRAIN] epoch=20, iter=13040/40000, loss=0.3313, lr=0.007011, batch_cost=0.5346, reader_cost=0.0001 | ETA 04:00:13 2021-01-17 18:44:03 [INFO] [TRAIN] epoch=20, iter=13050/40000, loss=0.2320, lr=0.007009, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:02:35 2021-01-17 18:44:08 [INFO] [TRAIN] epoch=20, iter=13060/40000, loss=0.3768, lr=0.007007, batch_cost=0.5404, reader_cost=0.0001 | ETA 04:02:37 2021-01-17 18:44:13 [INFO] [TRAIN] epoch=20, iter=13070/40000, loss=0.2155, lr=0.007004, batch_cost=0.5396, reader_cost=0.0001 | ETA 04:02:11 2021-01-17 18:44:19 [INFO] [TRAIN] epoch=20, iter=13080/40000, loss=0.3541, lr=0.007002, batch_cost=0.5406, reader_cost=0.0001 | ETA 04:02:34 2021-01-17 18:44:24 [INFO] [TRAIN] epoch=20, iter=13090/40000, loss=0.3358, lr=0.007000, batch_cost=0.5411, reader_cost=0.0001 | ETA 04:02:42 2021-01-17 18:44:30 [INFO] [TRAIN] epoch=20, iter=13100/40000, loss=0.4733, lr=0.006997, batch_cost=0.5381, reader_cost=0.0001 | ETA 04:01:14 2021-01-17 18:44:35 [INFO] [TRAIN] epoch=20, iter=13110/40000, loss=0.4683, lr=0.006995, batch_cost=0.5376, reader_cost=0.0001 | ETA 04:00:55 2021-01-17 18:44:40 [INFO] [TRAIN] epoch=20, iter=13120/40000, loss=0.2704, lr=0.006993, batch_cost=0.5395, reader_cost=0.0001 | ETA 04:01:40 2021-01-17 18:44:46 [INFO] [TRAIN] epoch=20, iter=13130/40000, loss=0.3121, lr=0.006990, batch_cost=0.5379, reader_cost=0.0001 | ETA 04:00:53 2021-01-17 18:44:51 [INFO] [TRAIN] epoch=20, iter=13140/40000, loss=0.3271, lr=0.006988, batch_cost=0.5417, reader_cost=0.0001 | ETA 04:02:29 2021-01-17 18:44:57 [INFO] [TRAIN] epoch=20, iter=13150/40000, loss=0.3528, lr=0.006986, batch_cost=0.5368, reader_cost=0.0001 | ETA 04:00:14 2021-01-17 18:45:02 [INFO] [TRAIN] epoch=20, iter=13160/40000, loss=0.2860, lr=0.006983, batch_cost=0.5441, reader_cost=0.0001 | ETA 04:03:23 2021-01-17 18:45:07 [INFO] [TRAIN] epoch=20, iter=13170/40000, loss=0.2635, lr=0.006981, batch_cost=0.5399, reader_cost=0.0001 | ETA 04:01:24 2021-01-17 18:45:13 [INFO] [TRAIN] epoch=20, iter=13180/40000, loss=0.2830, lr=0.006979, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:59:12 2021-01-17 18:45:18 [INFO] [TRAIN] epoch=20, iter=13190/40000, loss=0.3811, lr=0.006976, batch_cost=0.5414, reader_cost=0.0001 | ETA 04:01:54 2021-01-17 18:45:24 [INFO] [TRAIN] epoch=20, iter=13200/40000, loss=0.2589, lr=0.006974, batch_cost=0.5448, reader_cost=0.0001 | ETA 04:03:20 2021-01-17 18:45:29 [INFO] [TRAIN] epoch=20, iter=13210/40000, loss=0.2572, lr=0.006972, batch_cost=0.5409, reader_cost=0.0001 | ETA 04:01:30 2021-01-17 18:45:34 [INFO] [TRAIN] epoch=20, iter=13220/40000, loss=0.3506, lr=0.006969, batch_cost=0.5139, reader_cost=0.0001 | ETA 03:49:20 2021-01-17 18:45:40 [INFO] [TRAIN] epoch=21, iter=13230/40000, loss=0.3328, lr=0.006967, batch_cost=0.5548, reader_cost=0.0164 | ETA 04:07:32 2021-01-17 18:45:45 [INFO] [TRAIN] epoch=21, iter=13240/40000, loss=0.2980, lr=0.006965, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:59:11 2021-01-17 18:45:50 [INFO] [TRAIN] epoch=21, iter=13250/40000, loss=0.3672, lr=0.006962, batch_cost=0.5405, reader_cost=0.0001 | ETA 04:00:58 2021-01-17 18:45:56 [INFO] [TRAIN] epoch=21, iter=13260/40000, loss=0.3453, lr=0.006960, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:59:31 2021-01-17 18:46:01 [INFO] [TRAIN] epoch=21, iter=13270/40000, loss=0.3526, lr=0.006958, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:59:45 2021-01-17 18:46:07 [INFO] [TRAIN] epoch=21, iter=13280/40000, loss=0.3172, lr=0.006955, batch_cost=0.5423, reader_cost=0.0001 | ETA 04:01:30 2021-01-17 18:46:12 [INFO] [TRAIN] epoch=21, iter=13290/40000, loss=0.3088, lr=0.006953, batch_cost=0.5444, reader_cost=0.0001 | ETA 04:02:22 2021-01-17 18:46:17 [INFO] [TRAIN] epoch=21, iter=13300/40000, loss=0.3431, lr=0.006951, batch_cost=0.5349, reader_cost=0.0001 | ETA 03:58:01 2021-01-17 18:46:23 [INFO] [TRAIN] epoch=21, iter=13310/40000, loss=0.3362, lr=0.006948, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:59:15 2021-01-17 18:46:28 [INFO] [TRAIN] epoch=21, iter=13320/40000, loss=0.3697, lr=0.006946, batch_cost=0.5401, reader_cost=0.0001 | ETA 04:00:08 2021-01-17 18:46:34 [INFO] [TRAIN] epoch=21, iter=13330/40000, loss=0.2973, lr=0.006944, batch_cost=0.5445, reader_cost=0.0001 | ETA 04:02:00 2021-01-17 18:46:39 [INFO] [TRAIN] epoch=21, iter=13340/40000, loss=0.2292, lr=0.006941, batch_cost=0.5418, reader_cost=0.0001 | ETA 04:00:43 2021-01-17 18:46:45 [INFO] [TRAIN] epoch=21, iter=13350/40000, loss=0.3306, lr=0.006939, batch_cost=0.5441, reader_cost=0.0001 | ETA 04:01:40 2021-01-17 18:46:50 [INFO] [TRAIN] epoch=21, iter=13360/40000, loss=0.3546, lr=0.006937, batch_cost=0.5347, reader_cost=0.0001 | ETA 03:57:24 2021-01-17 18:46:55 [INFO] [TRAIN] epoch=21, iter=13370/40000, loss=0.4641, lr=0.006934, batch_cost=0.5420, reader_cost=0.0001 | ETA 04:00:32 2021-01-17 18:47:01 [INFO] [TRAIN] epoch=21, iter=13380/40000, loss=0.3479, lr=0.006932, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:58:51 2021-01-17 18:47:06 [INFO] [TRAIN] epoch=21, iter=13390/40000, loss=0.3470, lr=0.006929, batch_cost=0.5434, reader_cost=0.0001 | ETA 04:00:59 2021-01-17 18:47:12 [INFO] [TRAIN] epoch=21, iter=13400/40000, loss=0.3549, lr=0.006927, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:59:05 2021-01-17 18:47:17 [INFO] [TRAIN] epoch=21, iter=13410/40000, loss=0.4229, lr=0.006925, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:59:06 2021-01-17 18:47:22 [INFO] [TRAIN] epoch=21, iter=13420/40000, loss=0.3522, lr=0.006922, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:59:54 2021-01-17 18:47:28 [INFO] [TRAIN] epoch=21, iter=13430/40000, loss=0.3143, lr=0.006920, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:58:37 2021-01-17 18:47:33 [INFO] [TRAIN] epoch=21, iter=13440/40000, loss=0.2907, lr=0.006918, batch_cost=0.5445, reader_cost=0.0001 | ETA 04:01:01 2021-01-17 18:47:39 [INFO] [TRAIN] epoch=21, iter=13450/40000, loss=0.2643, lr=0.006915, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:58:48 2021-01-17 18:47:44 [INFO] [TRAIN] epoch=21, iter=13460/40000, loss=0.2052, lr=0.006913, batch_cost=0.5368, reader_cost=0.0001 | ETA 03:57:26 2021-01-17 18:47:49 [INFO] [TRAIN] epoch=21, iter=13470/40000, loss=0.3289, lr=0.006911, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:58:26 2021-01-17 18:47:55 [INFO] [TRAIN] epoch=21, iter=13480/40000, loss=0.4602, lr=0.006908, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:58:19 2021-01-17 18:48:00 [INFO] [TRAIN] epoch=21, iter=13490/40000, loss=0.3714, lr=0.006906, batch_cost=0.5430, reader_cost=0.0001 | ETA 03:59:55 2021-01-17 18:48:06 [INFO] [TRAIN] epoch=21, iter=13500/40000, loss=0.3896, lr=0.006904, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:58:59 2021-01-17 18:48:11 [INFO] [TRAIN] epoch=21, iter=13510/40000, loss=0.2619, lr=0.006901, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:58:25 2021-01-17 18:48:16 [INFO] [TRAIN] epoch=21, iter=13520/40000, loss=0.3745, lr=0.006899, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:59:41 2021-01-17 18:48:22 [INFO] [TRAIN] epoch=21, iter=13530/40000, loss=0.3182, lr=0.006897, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:57:25 2021-01-17 18:48:27 [INFO] [TRAIN] epoch=21, iter=13540/40000, loss=0.4134, lr=0.006894, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:57:50 2021-01-17 18:48:33 [INFO] [TRAIN] epoch=21, iter=13550/40000, loss=0.3244, lr=0.006892, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:59:52 2021-01-17 18:48:38 [INFO] [TRAIN] epoch=21, iter=13560/40000, loss=0.2604, lr=0.006890, batch_cost=0.5434, reader_cost=0.0001 | ETA 03:59:27 2021-01-17 18:48:43 [INFO] [TRAIN] epoch=21, iter=13570/40000, loss=0.2772, lr=0.006887, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:57:22 2021-01-17 18:48:49 [INFO] [TRAIN] epoch=21, iter=13580/40000, loss=0.3395, lr=0.006885, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:57:28 2021-01-17 18:48:54 [INFO] [TRAIN] epoch=21, iter=13590/40000, loss=0.2778, lr=0.006883, batch_cost=0.5430, reader_cost=0.0001 | ETA 03:59:01 2021-01-17 18:49:00 [INFO] [TRAIN] epoch=21, iter=13600/40000, loss=0.3430, lr=0.006880, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:58:46 2021-01-17 18:49:05 [INFO] [TRAIN] epoch=21, iter=13610/40000, loss=0.3272, lr=0.006878, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:56:19 2021-01-17 18:49:10 [INFO] [TRAIN] epoch=21, iter=13620/40000, loss=0.3033, lr=0.006876, batch_cost=0.5402, reader_cost=0.0001 | ETA 03:57:29 2021-01-17 18:49:16 [INFO] [TRAIN] epoch=21, iter=13630/40000, loss=0.2677, lr=0.006873, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:56:52 2021-01-17 18:49:21 [INFO] [TRAIN] epoch=21, iter=13640/40000, loss=0.2977, lr=0.006871, batch_cost=0.5464, reader_cost=0.0001 | ETA 04:00:03 2021-01-17 18:49:27 [INFO] [TRAIN] epoch=21, iter=13650/40000, loss=0.2705, lr=0.006869, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:58:56 2021-01-17 18:49:32 [INFO] [TRAIN] epoch=21, iter=13660/40000, loss=0.3542, lr=0.006866, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:56:18 2021-01-17 18:49:38 [INFO] [TRAIN] epoch=21, iter=13670/40000, loss=0.2856, lr=0.006864, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:56:50 2021-01-17 18:49:43 [INFO] [TRAIN] epoch=21, iter=13680/40000, loss=0.3238, lr=0.006861, batch_cost=0.5434, reader_cost=0.0001 | ETA 03:58:23 2021-01-17 18:49:48 [INFO] [TRAIN] epoch=21, iter=13690/40000, loss=0.2781, lr=0.006859, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:55:43 2021-01-17 18:49:54 [INFO] [TRAIN] epoch=21, iter=13700/40000, loss=0.5565, lr=0.006857, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:55:42 2021-01-17 18:49:59 [INFO] [TRAIN] epoch=21, iter=13710/40000, loss=0.2661, lr=0.006854, batch_cost=0.5451, reader_cost=0.0001 | ETA 03:58:51 2021-01-17 18:50:05 [INFO] [TRAIN] epoch=21, iter=13720/40000, loss=0.3361, lr=0.006852, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:55:35 2021-01-17 18:50:10 [INFO] [TRAIN] epoch=21, iter=13730/40000, loss=0.3696, lr=0.006850, batch_cost=0.5414, reader_cost=0.0001 | ETA 03:57:01 2021-01-17 18:50:15 [INFO] [TRAIN] epoch=21, iter=13740/40000, loss=0.2710, lr=0.006847, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:56:48 2021-01-17 18:50:21 [INFO] [TRAIN] epoch=21, iter=13750/40000, loss=0.2670, lr=0.006845, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:56:12 2021-01-17 18:50:26 [INFO] [TRAIN] epoch=21, iter=13760/40000, loss=0.3122, lr=0.006843, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:55:36 2021-01-17 18:50:32 [INFO] [TRAIN] epoch=21, iter=13770/40000, loss=0.2238, lr=0.006840, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:55:33 2021-01-17 18:50:37 [INFO] [TRAIN] epoch=21, iter=13780/40000, loss=0.2680, lr=0.006838, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:54:31 2021-01-17 18:50:42 [INFO] [TRAIN] epoch=21, iter=13790/40000, loss=0.3194, lr=0.006836, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:54:34 2021-01-17 18:50:48 [INFO] [TRAIN] epoch=21, iter=13800/40000, loss=0.2801, lr=0.006833, batch_cost=0.5368, reader_cost=0.0001 | ETA 03:54:24 2021-01-17 18:50:53 [INFO] [TRAIN] epoch=21, iter=13810/40000, loss=0.3689, lr=0.006831, batch_cost=0.5436, reader_cost=0.0001 | ETA 03:57:15 2021-01-17 18:50:58 [INFO] [TRAIN] epoch=21, iter=13820/40000, loss=0.3230, lr=0.006829, batch_cost=0.5365, reader_cost=0.0001 | ETA 03:54:05 2021-01-17 18:51:04 [INFO] [TRAIN] epoch=21, iter=13830/40000, loss=0.3206, lr=0.006826, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:54:03 2021-01-17 18:51:09 [INFO] [TRAIN] epoch=21, iter=13840/40000, loss=0.2137, lr=0.006824, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:54:46 2021-01-17 18:51:15 [INFO] [TRAIN] epoch=21, iter=13850/40000, loss=0.4145, lr=0.006822, batch_cost=0.5340, reader_cost=0.0001 | ETA 03:52:42 2021-01-17 18:51:20 [INFO] [TRAIN] epoch=21, iter=13860/40000, loss=0.2612, lr=0.006819, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:54:43 2021-01-17 18:51:25 [INFO] [TRAIN] epoch=21, iter=13870/40000, loss=0.3628, lr=0.006817, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:55:49 2021-01-17 18:51:31 [INFO] [TRAIN] epoch=21, iter=13880/40000, loss=0.2706, lr=0.006815, batch_cost=0.5200, reader_cost=0.0001 | ETA 03:46:21 2021-01-17 18:51:36 [INFO] [TRAIN] epoch=22, iter=13890/40000, loss=0.3284, lr=0.006812, batch_cost=0.5503, reader_cost=0.0119 | ETA 03:59:27 2021-01-17 18:51:41 [INFO] [TRAIN] epoch=22, iter=13900/40000, loss=0.4149, lr=0.006810, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:54:22 2021-01-17 18:51:47 [INFO] [TRAIN] epoch=22, iter=13910/40000, loss=0.4083, lr=0.006808, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:55:27 2021-01-17 18:51:52 [INFO] [TRAIN] epoch=22, iter=13920/40000, loss=0.2787, lr=0.006805, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:53:32 2021-01-17 18:51:58 [INFO] [TRAIN] epoch=22, iter=13930/40000, loss=0.3126, lr=0.006803, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:55:08 2021-01-17 18:52:03 [INFO] [TRAIN] epoch=22, iter=13940/40000, loss=0.3486, lr=0.006800, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:54:08 2021-01-17 18:52:08 [INFO] [TRAIN] epoch=22, iter=13950/40000, loss=0.3947, lr=0.006798, batch_cost=0.5350, reader_cost=0.0001 | ETA 03:52:16 2021-01-17 18:52:14 [INFO] [TRAIN] epoch=22, iter=13960/40000, loss=0.2840, lr=0.006796, batch_cost=0.5347, reader_cost=0.0001 | ETA 03:52:02 2021-01-17 18:52:19 [INFO] [TRAIN] epoch=22, iter=13970/40000, loss=0.3532, lr=0.006793, batch_cost=0.5432, reader_cost=0.0001 | ETA 03:55:38 2021-01-17 18:52:25 [INFO] [TRAIN] epoch=22, iter=13980/40000, loss=0.3550, lr=0.006791, batch_cost=0.5447, reader_cost=0.0001 | ETA 03:56:11 2021-01-17 18:52:30 [INFO] [TRAIN] epoch=22, iter=13990/40000, loss=0.3300, lr=0.006789, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:53:44 2021-01-17 18:52:35 [INFO] [TRAIN] epoch=22, iter=14000/40000, loss=0.4597, lr=0.006786, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:53:34 2021-01-17 18:52:35 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 18:52:56 [INFO] [EVAL] #Images=1449 mIoU=0.7482 Acc=0.9411 Kappa=0.8687 2021-01-17 18:52:56 [INFO] [EVAL] Class IoU: [0.9338 0.9046 0.4069 0.8781 0.6967 0.781 0.9486 0.8476 0.9022 0.3165 0.8688 0.3199 0.8686 0.8803 0.823 0.8416 0.5964 0.8371 0.4945 0.8827 0.6837] 2021-01-17 18:52:56 [INFO] [EVAL] Class Acc: [0.9584 0.9575 0.432 0.9561 0.7714 0.9075 0.9789 0.9028 0.9662 0.5579 0.9657 0.956 0.9251 0.9209 0.9239 0.9522 0.8577 0.8667 0.6089 0.9521 0.8948] 2021-01-17 18:52:59 [INFO] [EVAL] The model with the best validation mIoU (0.7677) was saved at iter 13000. 2021-01-17 18:53:05 [INFO] [TRAIN] epoch=22, iter=14010/40000, loss=0.4064, lr=0.006784, batch_cost=0.5359, reader_cost=0.0001 | ETA 03:52:08 2021-01-17 18:53:10 [INFO] [TRAIN] epoch=22, iter=14020/40000, loss=0.4034, lr=0.006782, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:52:49 2021-01-17 18:53:16 [INFO] [TRAIN] epoch=22, iter=14030/40000, loss=0.3503, lr=0.006779, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:53:26 2021-01-17 18:53:21 [INFO] [TRAIN] epoch=22, iter=14040/40000, loss=0.3176, lr=0.006777, batch_cost=0.5435, reader_cost=0.0001 | ETA 03:55:09 2021-01-17 18:53:26 [INFO] [TRAIN] epoch=22, iter=14050/40000, loss=0.3475, lr=0.006775, batch_cost=0.5435, reader_cost=0.0001 | ETA 03:55:03 2021-01-17 18:53:32 [INFO] [TRAIN] epoch=22, iter=14060/40000, loss=0.2827, lr=0.006772, batch_cost=0.5419, reader_cost=0.0001 | ETA 03:54:16 2021-01-17 18:53:37 [INFO] [TRAIN] epoch=22, iter=14070/40000, loss=0.3479, lr=0.006770, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:54:27 2021-01-17 18:53:43 [INFO] [TRAIN] epoch=22, iter=14080/40000, loss=0.3573, lr=0.006768, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:54:18 2021-01-17 18:53:48 [INFO] [TRAIN] epoch=22, iter=14090/40000, loss=0.2323, lr=0.006765, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:54:26 2021-01-17 18:53:53 [INFO] [TRAIN] epoch=22, iter=14100/40000, loss=0.4197, lr=0.006763, batch_cost=0.5360, reader_cost=0.0001 | ETA 03:51:21 2021-01-17 18:53:59 [INFO] [TRAIN] epoch=22, iter=14110/40000, loss=0.3561, lr=0.006761, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:53:24 2021-01-17 18:54:04 [INFO] [TRAIN] epoch=22, iter=14120/40000, loss=0.2687, lr=0.006758, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:51:59 2021-01-17 18:54:10 [INFO] [TRAIN] epoch=22, iter=14130/40000, loss=0.3830, lr=0.006756, batch_cost=0.5348, reader_cost=0.0001 | ETA 03:50:35 2021-01-17 18:54:15 [INFO] [TRAIN] epoch=22, iter=14140/40000, loss=0.2549, lr=0.006753, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:53:49 2021-01-17 18:54:20 [INFO] [TRAIN] epoch=22, iter=14150/40000, loss=0.4010, lr=0.006751, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:52:23 2021-01-17 18:54:26 [INFO] [TRAIN] epoch=22, iter=14160/40000, loss=0.4321, lr=0.006749, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:51:30 2021-01-17 18:54:31 [INFO] [TRAIN] epoch=22, iter=14170/40000, loss=0.3681, lr=0.006746, batch_cost=0.5330, reader_cost=0.0001 | ETA 03:49:26 2021-01-17 18:54:36 [INFO] [TRAIN] epoch=22, iter=14180/40000, loss=0.3647, lr=0.006744, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:51:06 2021-01-17 18:54:42 [INFO] [TRAIN] epoch=22, iter=14190/40000, loss=0.3868, lr=0.006742, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:51:07 2021-01-17 18:54:47 [INFO] [TRAIN] epoch=22, iter=14200/40000, loss=0.3794, lr=0.006739, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:51:11 2021-01-17 18:54:53 [INFO] [TRAIN] epoch=22, iter=14210/40000, loss=0.4225, lr=0.006737, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:50:38 2021-01-17 18:54:58 [INFO] [TRAIN] epoch=22, iter=14220/40000, loss=0.4466, lr=0.006735, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:51:25 2021-01-17 18:55:03 [INFO] [TRAIN] epoch=22, iter=14230/40000, loss=0.3912, lr=0.006732, batch_cost=0.5344, reader_cost=0.0001 | ETA 03:49:31 2021-01-17 18:55:09 [INFO] [TRAIN] epoch=22, iter=14240/40000, loss=0.3683, lr=0.006730, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:52:35 2021-01-17 18:55:14 [INFO] [TRAIN] epoch=22, iter=14250/40000, loss=0.2583, lr=0.006728, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:51:16 2021-01-17 18:55:20 [INFO] [TRAIN] epoch=22, iter=14260/40000, loss=0.4581, lr=0.006725, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:51:19 2021-01-17 18:55:25 [INFO] [TRAIN] epoch=22, iter=14270/40000, loss=0.2142, lr=0.006723, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:51:55 2021-01-17 18:55:30 [INFO] [TRAIN] epoch=22, iter=14280/40000, loss=0.3514, lr=0.006721, batch_cost=0.5471, reader_cost=0.0001 | ETA 03:54:30 2021-01-17 18:55:36 [INFO] [TRAIN] epoch=22, iter=14290/40000, loss=0.2548, lr=0.006718, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:50:35 2021-01-17 18:55:41 [INFO] [TRAIN] epoch=22, iter=14300/40000, loss=0.3095, lr=0.006716, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:52:11 2021-01-17 18:55:47 [INFO] [TRAIN] epoch=22, iter=14310/40000, loss=0.2294, lr=0.006713, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:51:02 2021-01-17 18:55:52 [INFO] [TRAIN] epoch=22, iter=14320/40000, loss=0.3099, lr=0.006711, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:52:26 2021-01-17 18:55:57 [INFO] [TRAIN] epoch=22, iter=14330/40000, loss=0.4567, lr=0.006709, batch_cost=0.5402, reader_cost=0.0001 | ETA 03:51:06 2021-01-17 18:56:03 [INFO] [TRAIN] epoch=22, iter=14340/40000, loss=0.3327, lr=0.006706, batch_cost=0.5414, reader_cost=0.0001 | ETA 03:51:31 2021-01-17 18:56:08 [INFO] [TRAIN] epoch=22, iter=14350/40000, loss=0.4680, lr=0.006704, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:49:42 2021-01-17 18:56:14 [INFO] [TRAIN] epoch=22, iter=14360/40000, loss=0.2689, lr=0.006702, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:50:09 2021-01-17 18:56:19 [INFO] [TRAIN] epoch=22, iter=14370/40000, loss=0.3684, lr=0.006699, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:50:47 2021-01-17 18:56:24 [INFO] [TRAIN] epoch=22, iter=14380/40000, loss=0.2874, lr=0.006697, batch_cost=0.5439, reader_cost=0.0001 | ETA 03:52:15 2021-01-17 18:56:30 [INFO] [TRAIN] epoch=22, iter=14390/40000, loss=0.3112, lr=0.006695, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:50:02 2021-01-17 18:56:35 [INFO] [TRAIN] epoch=22, iter=14400/40000, loss=0.3498, lr=0.006692, batch_cost=0.5353, reader_cost=0.0001 | ETA 03:48:23 2021-01-17 18:56:41 [INFO] [TRAIN] epoch=22, iter=14410/40000, loss=0.2555, lr=0.006690, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:49:32 2021-01-17 18:56:46 [INFO] [TRAIN] epoch=22, iter=14420/40000, loss=0.4404, lr=0.006688, batch_cost=0.5443, reader_cost=0.0001 | ETA 03:52:04 2021-01-17 18:56:51 [INFO] [TRAIN] epoch=22, iter=14430/40000, loss=0.3673, lr=0.006685, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:50:05 2021-01-17 18:56:57 [INFO] [TRAIN] epoch=22, iter=14440/40000, loss=0.3848, lr=0.006683, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:49:31 2021-01-17 18:57:02 [INFO] [TRAIN] epoch=22, iter=14450/40000, loss=0.2937, lr=0.006681, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:48:21 2021-01-17 18:57:08 [INFO] [TRAIN] epoch=22, iter=14460/40000, loss=0.2417, lr=0.006678, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:50:46 2021-01-17 18:57:13 [INFO] [TRAIN] epoch=22, iter=14470/40000, loss=0.2644, lr=0.006676, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:48:18 2021-01-17 18:57:18 [INFO] [TRAIN] epoch=22, iter=14480/40000, loss=0.2832, lr=0.006674, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:50:06 2021-01-17 18:57:24 [INFO] [TRAIN] epoch=22, iter=14490/40000, loss=0.3017, lr=0.006671, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:49:00 2021-01-17 18:57:29 [INFO] [TRAIN] epoch=22, iter=14500/40000, loss=0.3359, lr=0.006669, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:49:42 2021-01-17 18:57:35 [INFO] [TRAIN] epoch=22, iter=14510/40000, loss=0.4653, lr=0.006666, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:49:08 2021-01-17 18:57:40 [INFO] [TRAIN] epoch=22, iter=14520/40000, loss=0.2942, lr=0.006664, batch_cost=0.5414, reader_cost=0.0001 | ETA 03:49:55 2021-01-17 18:57:45 [INFO] [TRAIN] epoch=22, iter=14530/40000, loss=0.3526, lr=0.006662, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:48:35 2021-01-17 18:57:51 [INFO] [TRAIN] epoch=22, iter=14540/40000, loss=0.3388, lr=0.006659, batch_cost=0.5176, reader_cost=0.0001 | ETA 03:39:36 2021-01-17 18:57:56 [INFO] [TRAIN] epoch=23, iter=14550/40000, loss=0.4109, lr=0.006657, batch_cost=0.5433, reader_cost=0.0166 | ETA 03:50:26 2021-01-17 18:58:01 [INFO] [TRAIN] epoch=23, iter=14560/40000, loss=0.4689, lr=0.006655, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:48:00 2021-01-17 18:58:07 [INFO] [TRAIN] epoch=23, iter=14570/40000, loss=0.3085, lr=0.006652, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:49:04 2021-01-17 18:58:12 [INFO] [TRAIN] epoch=23, iter=14580/40000, loss=0.2612, lr=0.006650, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:49:26 2021-01-17 18:58:18 [INFO] [TRAIN] epoch=23, iter=14590/40000, loss=0.2163, lr=0.006648, batch_cost=0.5365, reader_cost=0.0001 | ETA 03:47:12 2021-01-17 18:58:23 [INFO] [TRAIN] epoch=23, iter=14600/40000, loss=0.2958, lr=0.006645, batch_cost=0.5360, reader_cost=0.0001 | ETA 03:46:55 2021-01-17 18:58:28 [INFO] [TRAIN] epoch=23, iter=14610/40000, loss=0.3088, lr=0.006643, batch_cost=0.5372, reader_cost=0.0001 | ETA 03:47:19 2021-01-17 18:58:34 [INFO] [TRAIN] epoch=23, iter=14620/40000, loss=0.3126, lr=0.006641, batch_cost=0.5342, reader_cost=0.0001 | ETA 03:45:58 2021-01-17 18:58:39 [INFO] [TRAIN] epoch=23, iter=14630/40000, loss=0.2941, lr=0.006638, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:46:47 2021-01-17 18:58:44 [INFO] [TRAIN] epoch=23, iter=14640/40000, loss=0.3013, lr=0.006636, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:48:37 2021-01-17 18:58:50 [INFO] [TRAIN] epoch=23, iter=14650/40000, loss=0.6044, lr=0.006633, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:49:16 2021-01-17 18:58:55 [INFO] [TRAIN] epoch=23, iter=14660/40000, loss=0.3167, lr=0.006631, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:47:22 2021-01-17 18:59:01 [INFO] [TRAIN] epoch=23, iter=14670/40000, loss=0.4139, lr=0.006629, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:47:32 2021-01-17 18:59:06 [INFO] [TRAIN] epoch=23, iter=14680/40000, loss=0.3307, lr=0.006626, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:48:49 2021-01-17 18:59:11 [INFO] [TRAIN] epoch=23, iter=14690/40000, loss=0.2519, lr=0.006624, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:46:31 2021-01-17 18:59:17 [INFO] [TRAIN] epoch=23, iter=14700/40000, loss=0.3252, lr=0.006622, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:48:42 2021-01-17 18:59:22 [INFO] [TRAIN] epoch=23, iter=14710/40000, loss=0.3589, lr=0.006619, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:47:07 2021-01-17 18:59:28 [INFO] [TRAIN] epoch=23, iter=14720/40000, loss=0.3064, lr=0.006617, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:46:15 2021-01-17 18:59:33 [INFO] [TRAIN] epoch=23, iter=14730/40000, loss=0.3525, lr=0.006615, batch_cost=0.5444, reader_cost=0.0001 | ETA 03:49:17 2021-01-17 18:59:38 [INFO] [TRAIN] epoch=23, iter=14740/40000, loss=0.3688, lr=0.006612, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:46:36 2021-01-17 18:59:44 [INFO] [TRAIN] epoch=23, iter=14750/40000, loss=0.3839, lr=0.006610, batch_cost=0.5380, reader_cost=0.0001 | ETA 03:46:23 2021-01-17 18:59:49 [INFO] [TRAIN] epoch=23, iter=14760/40000, loss=0.3602, lr=0.006608, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:46:56 2021-01-17 18:59:55 [INFO] [TRAIN] epoch=23, iter=14770/40000, loss=0.3000, lr=0.006605, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:47:27 2021-01-17 19:00:00 [INFO] [TRAIN] epoch=23, iter=14780/40000, loss=0.3077, lr=0.006603, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:46:11 2021-01-17 19:00:05 [INFO] [TRAIN] epoch=23, iter=14790/40000, loss=0.3182, lr=0.006601, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:47:20 2021-01-17 19:00:11 [INFO] [TRAIN] epoch=23, iter=14800/40000, loss=0.4769, lr=0.006598, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:46:59 2021-01-17 19:00:16 [INFO] [TRAIN] epoch=23, iter=14810/40000, loss=0.3068, lr=0.006596, batch_cost=0.5430, reader_cost=0.0001 | ETA 03:47:57 2021-01-17 19:00:22 [INFO] [TRAIN] epoch=23, iter=14820/40000, loss=0.3002, lr=0.006593, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:44:51 2021-01-17 19:00:27 [INFO] [TRAIN] epoch=23, iter=14830/40000, loss=0.3875, lr=0.006591, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:46:13 2021-01-17 19:00:32 [INFO] [TRAIN] epoch=23, iter=14840/40000, loss=0.4524, lr=0.006589, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:47:06 2021-01-17 19:00:38 [INFO] [TRAIN] epoch=23, iter=14850/40000, loss=0.2423, lr=0.006586, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:47:06 2021-01-17 19:00:43 [INFO] [TRAIN] epoch=23, iter=14860/40000, loss=0.2587, lr=0.006584, batch_cost=0.5407, reader_cost=0.0001 | ETA 03:46:34 2021-01-17 19:00:49 [INFO] [TRAIN] epoch=23, iter=14870/40000, loss=0.3164, lr=0.006582, batch_cost=0.5335, reader_cost=0.0001 | ETA 03:43:27 2021-01-17 19:00:54 [INFO] [TRAIN] epoch=23, iter=14880/40000, loss=0.3295, lr=0.006579, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:44:31 2021-01-17 19:00:59 [INFO] [TRAIN] epoch=23, iter=14890/40000, loss=0.2323, lr=0.006577, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:45:48 2021-01-17 19:01:05 [INFO] [TRAIN] epoch=23, iter=14900/40000, loss=0.2571, lr=0.006575, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:45:16 2021-01-17 19:01:10 [INFO] [TRAIN] epoch=23, iter=14910/40000, loss=0.2496, lr=0.006572, batch_cost=0.5380, reader_cost=0.0001 | ETA 03:44:58 2021-01-17 19:01:15 [INFO] [TRAIN] epoch=23, iter=14920/40000, loss=0.3007, lr=0.006570, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:45:15 2021-01-17 19:01:21 [INFO] [TRAIN] epoch=23, iter=14930/40000, loss=0.3266, lr=0.006568, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:46:10 2021-01-17 19:01:26 [INFO] [TRAIN] epoch=23, iter=14940/40000, loss=0.3091, lr=0.006565, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:44:23 2021-01-17 19:01:32 [INFO] [TRAIN] epoch=23, iter=14950/40000, loss=0.3677, lr=0.006563, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:44:52 2021-01-17 19:01:37 [INFO] [TRAIN] epoch=23, iter=14960/40000, loss=0.4683, lr=0.006560, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:45:04 2021-01-17 19:01:42 [INFO] [TRAIN] epoch=23, iter=14970/40000, loss=0.4159, lr=0.006558, batch_cost=0.5440, reader_cost=0.0001 | ETA 03:46:55 2021-01-17 19:01:48 [INFO] [TRAIN] epoch=23, iter=14980/40000, loss=0.3119, lr=0.006556, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:44:44 2021-01-17 19:01:53 [INFO] [TRAIN] epoch=23, iter=14990/40000, loss=0.4078, lr=0.006553, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:44:42 2021-01-17 19:01:59 [INFO] [TRAIN] epoch=23, iter=15000/40000, loss=0.4380, lr=0.006551, batch_cost=0.5362, reader_cost=0.0001 | ETA 03:43:24 2021-01-17 19:01:59 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:02:20 [INFO] [EVAL] #Images=1449 mIoU=0.7734 Acc=0.9488 Kappa=0.8870 2021-01-17 19:02:20 [INFO] [EVAL] Class IoU: [0.9431 0.9048 0.429 0.8856 0.6899 0.8225 0.9237 0.8683 0.9212 0.3766 0.8901 0.5679 0.8841 0.8945 0.7897 0.8611 0.6038 0.8269 0.5307 0.8796 0.7474] 2021-01-17 19:02:20 [INFO] [EVAL] Class Acc: [0.9672 0.9358 0.4399 0.9293 0.811 0.8894 0.9369 0.9363 0.9446 0.5686 0.9256 0.9281 0.9427 0.9659 0.9578 0.9378 0.8142 0.9075 0.7303 0.9399 0.93 ] 2021-01-17 19:02:26 [INFO] [EVAL] The model with the best validation mIoU (0.7734) was saved at iter 15000. 2021-01-17 19:02:31 [INFO] [TRAIN] epoch=23, iter=15010/40000, loss=0.2469, lr=0.006549, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:43:56 2021-01-17 19:02:37 [INFO] [TRAIN] epoch=23, iter=15020/40000, loss=0.4188, lr=0.006546, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:45:46 2021-01-17 19:02:42 [INFO] [TRAIN] epoch=23, iter=15030/40000, loss=0.3614, lr=0.006544, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:44:04 2021-01-17 19:02:48 [INFO] [TRAIN] epoch=23, iter=15040/40000, loss=0.3786, lr=0.006542, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:43:26 2021-01-17 19:02:53 [INFO] [TRAIN] epoch=23, iter=15050/40000, loss=0.3489, lr=0.006539, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:43:41 2021-01-17 19:02:58 [INFO] [TRAIN] epoch=23, iter=15060/40000, loss=0.3713, lr=0.006537, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:45:28 2021-01-17 19:03:04 [INFO] [TRAIN] epoch=23, iter=15070/40000, loss=0.2954, lr=0.006534, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:44:10 2021-01-17 19:03:09 [INFO] [TRAIN] epoch=23, iter=15080/40000, loss=0.3327, lr=0.006532, batch_cost=0.5343, reader_cost=0.0001 | ETA 03:41:54 2021-01-17 19:03:15 [INFO] [TRAIN] epoch=23, iter=15090/40000, loss=0.3219, lr=0.006530, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:43:54 2021-01-17 19:03:20 [INFO] [TRAIN] epoch=23, iter=15100/40000, loss=0.3230, lr=0.006527, batch_cost=0.5436, reader_cost=0.0001 | ETA 03:45:36 2021-01-17 19:03:25 [INFO] [TRAIN] epoch=23, iter=15110/40000, loss=0.3350, lr=0.006525, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:44:44 2021-01-17 19:03:31 [INFO] [TRAIN] epoch=23, iter=15120/40000, loss=0.4272, lr=0.006523, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:43:50 2021-01-17 19:03:36 [INFO] [TRAIN] epoch=23, iter=15130/40000, loss=0.2337, lr=0.006520, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:43:48 2021-01-17 19:03:42 [INFO] [TRAIN] epoch=23, iter=15140/40000, loss=0.3292, lr=0.006518, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:44:28 2021-01-17 19:03:47 [INFO] [TRAIN] epoch=23, iter=15150/40000, loss=0.2977, lr=0.006516, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:43:04 2021-01-17 19:03:52 [INFO] [TRAIN] epoch=23, iter=15160/40000, loss=0.4717, lr=0.006513, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:44:23 2021-01-17 19:03:58 [INFO] [TRAIN] epoch=23, iter=15170/40000, loss=0.3809, lr=0.006511, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:43:29 2021-01-17 19:04:03 [INFO] [TRAIN] epoch=23, iter=15180/40000, loss=0.2948, lr=0.006509, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:42:44 2021-01-17 19:04:09 [INFO] [TRAIN] epoch=23, iter=15190/40000, loss=0.3369, lr=0.006506, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:43:30 2021-01-17 19:04:14 [INFO] [TRAIN] epoch=23, iter=15200/40000, loss=0.3140, lr=0.006504, batch_cost=0.5328, reader_cost=0.0001 | ETA 03:40:13 2021-01-17 19:04:19 [INFO] [TRAIN] epoch=24, iter=15210/40000, loss=0.3213, lr=0.006501, batch_cost=0.5449, reader_cost=0.0152 | ETA 03:45:08 2021-01-17 19:04:25 [INFO] [TRAIN] epoch=24, iter=15220/40000, loss=0.2753, lr=0.006499, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:41:36 2021-01-17 19:04:30 [INFO] [TRAIN] epoch=24, iter=15230/40000, loss=0.3736, lr=0.006497, batch_cost=0.5439, reader_cost=0.0001 | ETA 03:44:31 2021-01-17 19:04:36 [INFO] [TRAIN] epoch=24, iter=15240/40000, loss=0.2933, lr=0.006494, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:41:57 2021-01-17 19:04:41 [INFO] [TRAIN] epoch=24, iter=15250/40000, loss=0.2962, lr=0.006492, batch_cost=0.5350, reader_cost=0.0001 | ETA 03:40:41 2021-01-17 19:04:46 [INFO] [TRAIN] epoch=24, iter=15260/40000, loss=0.2622, lr=0.006490, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:42:47 2021-01-17 19:04:52 [INFO] [TRAIN] epoch=24, iter=15270/40000, loss=0.2980, lr=0.006487, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:41:42 2021-01-17 19:04:57 [INFO] [TRAIN] epoch=24, iter=15280/40000, loss=0.3054, lr=0.006485, batch_cost=0.5441, reader_cost=0.0001 | ETA 03:44:09 2021-01-17 19:05:03 [INFO] [TRAIN] epoch=24, iter=15290/40000, loss=0.2487, lr=0.006483, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:42:17 2021-01-17 19:05:08 [INFO] [TRAIN] epoch=24, iter=15300/40000, loss=0.3349, lr=0.006480, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:41:59 2021-01-17 19:05:13 [INFO] [TRAIN] epoch=24, iter=15310/40000, loss=0.3834, lr=0.006478, batch_cost=0.5375, reader_cost=0.0001 | ETA 03:41:09 2021-01-17 19:05:19 [INFO] [TRAIN] epoch=24, iter=15320/40000, loss=0.3584, lr=0.006475, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:41:35 2021-01-17 19:05:24 [INFO] [TRAIN] epoch=24, iter=15330/40000, loss=0.2163, lr=0.006473, batch_cost=0.5352, reader_cost=0.0001 | ETA 03:40:03 2021-01-17 19:05:29 [INFO] [TRAIN] epoch=24, iter=15340/40000, loss=0.5150, lr=0.006471, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:42:25 2021-01-17 19:05:35 [INFO] [TRAIN] epoch=24, iter=15350/40000, loss=0.3375, lr=0.006468, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:41:58 2021-01-17 19:05:40 [INFO] [TRAIN] epoch=24, iter=15360/40000, loss=0.2734, lr=0.006466, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:42:51 2021-01-17 19:05:46 [INFO] [TRAIN] epoch=24, iter=15370/40000, loss=0.2391, lr=0.006464, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:40:56 2021-01-17 19:05:51 [INFO] [TRAIN] epoch=24, iter=15380/40000, loss=0.2271, lr=0.006461, batch_cost=0.5368, reader_cost=0.0001 | ETA 03:40:17 2021-01-17 19:05:56 [INFO] [TRAIN] epoch=24, iter=15390/40000, loss=0.3240, lr=0.006459, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:42:24 2021-01-17 19:06:02 [INFO] [TRAIN] epoch=24, iter=15400/40000, loss=0.2974, lr=0.006457, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:40:40 2021-01-17 19:06:07 [INFO] [TRAIN] epoch=24, iter=15410/40000, loss=0.3908, lr=0.006454, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:40:06 2021-01-17 19:06:13 [INFO] [TRAIN] epoch=24, iter=15420/40000, loss=0.3166, lr=0.006452, batch_cost=0.5422, reader_cost=0.0001 | ETA 03:42:06 2021-01-17 19:06:18 [INFO] [TRAIN] epoch=24, iter=15430/40000, loss=0.4129, lr=0.006450, batch_cost=0.5446, reader_cost=0.0001 | ETA 03:43:00 2021-01-17 19:06:23 [INFO] [TRAIN] epoch=24, iter=15440/40000, loss=0.3163, lr=0.006447, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:39:31 2021-01-17 19:06:29 [INFO] [TRAIN] epoch=24, iter=15450/40000, loss=0.3994, lr=0.006445, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:40:11 2021-01-17 19:06:34 [INFO] [TRAIN] epoch=24, iter=15460/40000, loss=0.3528, lr=0.006442, batch_cost=0.5372, reader_cost=0.0001 | ETA 03:39:43 2021-01-17 19:06:40 [INFO] [TRAIN] epoch=24, iter=15470/40000, loss=0.3138, lr=0.006440, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:39:51 2021-01-17 19:06:45 [INFO] [TRAIN] epoch=24, iter=15480/40000, loss=0.3134, lr=0.006438, batch_cost=0.5354, reader_cost=0.0001 | ETA 03:38:48 2021-01-17 19:06:50 [INFO] [TRAIN] epoch=24, iter=15490/40000, loss=0.4331, lr=0.006435, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:42:33 2021-01-17 19:06:56 [INFO] [TRAIN] epoch=24, iter=15500/40000, loss=0.4673, lr=0.006433, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:39:26 2021-01-17 19:07:01 [INFO] [TRAIN] epoch=24, iter=15510/40000, loss=0.3539, lr=0.006431, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:41:00 2021-01-17 19:07:07 [INFO] [TRAIN] epoch=24, iter=15520/40000, loss=0.2642, lr=0.006428, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:40:50 2021-01-17 19:07:12 [INFO] [TRAIN] epoch=24, iter=15530/40000, loss=0.3124, lr=0.006426, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:40:10 2021-01-17 19:07:17 [INFO] [TRAIN] epoch=24, iter=15540/40000, loss=0.3312, lr=0.006424, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:40:29 2021-01-17 19:07:23 [INFO] [TRAIN] epoch=24, iter=15550/40000, loss=0.2718, lr=0.006421, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:40:12 2021-01-17 19:07:28 [INFO] [TRAIN] epoch=24, iter=15560/40000, loss=0.4251, lr=0.006419, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:40:06 2021-01-17 19:07:34 [INFO] [TRAIN] epoch=24, iter=15570/40000, loss=0.3170, lr=0.006416, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:39:16 2021-01-17 19:07:39 [INFO] [TRAIN] epoch=24, iter=15580/40000, loss=0.2682, lr=0.006414, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:40:58 2021-01-17 19:07:44 [INFO] [TRAIN] epoch=24, iter=15590/40000, loss=0.2983, lr=0.006412, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:40:46 2021-01-17 19:07:50 [INFO] [TRAIN] epoch=24, iter=15600/40000, loss=0.2714, lr=0.006409, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:38:40 2021-01-17 19:07:55 [INFO] [TRAIN] epoch=24, iter=15610/40000, loss=0.2666, lr=0.006407, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:39:29 2021-01-17 19:08:01 [INFO] [TRAIN] epoch=24, iter=15620/40000, loss=0.2716, lr=0.006405, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:39:34 2021-01-17 19:08:06 [INFO] [TRAIN] epoch=24, iter=15630/40000, loss=0.2645, lr=0.006402, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:38:56 2021-01-17 19:08:11 [INFO] [TRAIN] epoch=24, iter=15640/40000, loss=0.2849, lr=0.006400, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:38:19 2021-01-17 19:08:17 [INFO] [TRAIN] epoch=24, iter=15650/40000, loss=0.2876, lr=0.006398, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:40:25 2021-01-17 19:08:22 [INFO] [TRAIN] epoch=24, iter=15660/40000, loss=0.2619, lr=0.006395, batch_cost=0.5426, reader_cost=0.0001 | ETA 03:40:07 2021-01-17 19:08:28 [INFO] [TRAIN] epoch=24, iter=15670/40000, loss=0.2599, lr=0.006393, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:38:46 2021-01-17 19:08:33 [INFO] [TRAIN] epoch=24, iter=15680/40000, loss=0.2664, lr=0.006390, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:37:56 2021-01-17 19:08:38 [INFO] [TRAIN] epoch=24, iter=15690/40000, loss=0.3205, lr=0.006388, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:38:43 2021-01-17 19:08:44 [INFO] [TRAIN] epoch=24, iter=15700/40000, loss=0.3497, lr=0.006386, batch_cost=0.5356, reader_cost=0.0001 | ETA 03:36:54 2021-01-17 19:08:49 [INFO] [TRAIN] epoch=24, iter=15710/40000, loss=0.2946, lr=0.006383, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:37:31 2021-01-17 19:08:55 [INFO] [TRAIN] epoch=24, iter=15720/40000, loss=0.2820, lr=0.006381, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:37:25 2021-01-17 19:09:00 [INFO] [TRAIN] epoch=24, iter=15730/40000, loss=0.2464, lr=0.006379, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:38:06 2021-01-17 19:09:05 [INFO] [TRAIN] epoch=24, iter=15740/40000, loss=0.2076, lr=0.006376, batch_cost=0.5428, reader_cost=0.0001 | ETA 03:39:28 2021-01-17 19:09:11 [INFO] [TRAIN] epoch=24, iter=15750/40000, loss=0.3471, lr=0.006374, batch_cost=0.5354, reader_cost=0.0001 | ETA 03:36:23 2021-01-17 19:09:16 [INFO] [TRAIN] epoch=24, iter=15760/40000, loss=0.4850, lr=0.006371, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:37:47 2021-01-17 19:09:21 [INFO] [TRAIN] epoch=24, iter=15770/40000, loss=0.3690, lr=0.006369, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:37:58 2021-01-17 19:09:27 [INFO] [TRAIN] epoch=24, iter=15780/40000, loss=0.3440, lr=0.006367, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:38:35 2021-01-17 19:09:32 [INFO] [TRAIN] epoch=24, iter=15790/40000, loss=0.3037, lr=0.006364, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:36:43 2021-01-17 19:09:38 [INFO] [TRAIN] epoch=24, iter=15800/40000, loss=0.3184, lr=0.006362, batch_cost=0.5465, reader_cost=0.0001 | ETA 03:40:24 2021-01-17 19:09:43 [INFO] [TRAIN] epoch=24, iter=15810/40000, loss=0.4580, lr=0.006360, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:38:06 2021-01-17 19:09:49 [INFO] [TRAIN] epoch=24, iter=15820/40000, loss=0.4057, lr=0.006357, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:36:51 2021-01-17 19:09:54 [INFO] [TRAIN] epoch=24, iter=15830/40000, loss=0.2891, lr=0.006355, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:37:54 2021-01-17 19:09:59 [INFO] [TRAIN] epoch=24, iter=15840/40000, loss=0.4864, lr=0.006353, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:37:09 2021-01-17 19:10:05 [INFO] [TRAIN] epoch=24, iter=15850/40000, loss=0.2968, lr=0.006350, batch_cost=0.5372, reader_cost=0.0001 | ETA 03:36:13 2021-01-17 19:10:10 [INFO] [TRAIN] epoch=24, iter=15860/40000, loss=0.3227, lr=0.006348, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:35:45 2021-01-17 19:10:15 [INFO] [TRAIN] epoch=25, iter=15870/40000, loss=0.3377, lr=0.006345, batch_cost=0.5317, reader_cost=0.0150 | ETA 03:33:50 2021-01-17 19:10:21 [INFO] [TRAIN] epoch=25, iter=15880/40000, loss=0.3288, lr=0.006343, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:37:01 2021-01-17 19:10:26 [INFO] [TRAIN] epoch=25, iter=15890/40000, loss=0.3809, lr=0.006341, batch_cost=0.5347, reader_cost=0.0001 | ETA 03:34:51 2021-01-17 19:10:31 [INFO] [TRAIN] epoch=25, iter=15900/40000, loss=0.2594, lr=0.006338, batch_cost=0.5343, reader_cost=0.0001 | ETA 03:34:36 2021-01-17 19:10:37 [INFO] [TRAIN] epoch=25, iter=15910/40000, loss=0.2292, lr=0.006336, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:36:23 2021-01-17 19:10:42 [INFO] [TRAIN] epoch=25, iter=15920/40000, loss=0.3394, lr=0.006334, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:36:43 2021-01-17 19:10:48 [INFO] [TRAIN] epoch=25, iter=15930/40000, loss=0.3274, lr=0.006331, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:35:23 2021-01-17 19:10:53 [INFO] [TRAIN] epoch=25, iter=15940/40000, loss=0.3846, lr=0.006329, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:37:21 2021-01-17 19:10:58 [INFO] [TRAIN] epoch=25, iter=15950/40000, loss=0.3226, lr=0.006327, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:36:21 2021-01-17 19:11:04 [INFO] [TRAIN] epoch=25, iter=15960/40000, loss=0.3220, lr=0.006324, batch_cost=0.5432, reader_cost=0.0001 | ETA 03:37:39 2021-01-17 19:11:09 [INFO] [TRAIN] epoch=25, iter=15970/40000, loss=0.4517, lr=0.006322, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:35:14 2021-01-17 19:11:15 [INFO] [TRAIN] epoch=25, iter=15980/40000, loss=0.3015, lr=0.006319, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:35:56 2021-01-17 19:11:20 [INFO] [TRAIN] epoch=25, iter=15990/40000, loss=0.2547, lr=0.006317, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:35:13 2021-01-17 19:11:25 [INFO] [TRAIN] epoch=25, iter=16000/40000, loss=0.2886, lr=0.006315, batch_cost=0.5314, reader_cost=0.0001 | ETA 03:32:33 2021-01-17 19:11:25 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:11:46 [INFO] [EVAL] #Images=1449 mIoU=0.7821 Acc=0.9499 Kappa=0.8893 2021-01-17 19:11:46 [INFO] [EVAL] Class IoU: [0.9435 0.8873 0.43 0.8952 0.6787 0.831 0.9395 0.9044 0.9017 0.3718 0.8855 0.572 0.8704 0.8951 0.8818 0.869 0.7164 0.8401 0.4595 0.8946 0.757 ] 2021-01-17 19:11:46 [INFO] [EVAL] Class Acc: [0.9671 0.9062 0.4432 0.9297 0.7894 0.8792 0.9694 0.9616 0.9305 0.5715 0.9312 0.8507 0.9505 0.9446 0.9293 0.9431 0.8441 0.9477 0.789 0.9432 0.9069] 2021-01-17 19:11:52 [INFO] [EVAL] The model with the best validation mIoU (0.7821) was saved at iter 16000. 2021-01-17 19:11:58 [INFO] [TRAIN] epoch=25, iter=16010/40000, loss=0.3618, lr=0.006312, batch_cost=0.5272, reader_cost=0.0001 | ETA 03:30:46 2021-01-17 19:12:03 [INFO] [TRAIN] epoch=25, iter=16020/40000, loss=0.2925, lr=0.006310, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:35:18 2021-01-17 19:12:08 [INFO] [TRAIN] epoch=25, iter=16030/40000, loss=0.2962, lr=0.006308, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:33:57 2021-01-17 19:12:14 [INFO] [TRAIN] epoch=25, iter=16040/40000, loss=0.2440, lr=0.006305, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:35:46 2021-01-17 19:12:19 [INFO] [TRAIN] epoch=25, iter=16050/40000, loss=0.3737, lr=0.006303, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:35:13 2021-01-17 19:12:24 [INFO] [TRAIN] epoch=25, iter=16060/40000, loss=0.4019, lr=0.006300, batch_cost=0.5406, reader_cost=0.0001 | ETA 03:35:40 2021-01-17 19:12:30 [INFO] [TRAIN] epoch=25, iter=16070/40000, loss=0.2283, lr=0.006298, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:36:30 2021-01-17 19:12:35 [INFO] [TRAIN] epoch=25, iter=16080/40000, loss=0.2728, lr=0.006296, batch_cost=0.5343, reader_cost=0.0001 | ETA 03:33:00 2021-01-17 19:12:41 [INFO] [TRAIN] epoch=25, iter=16090/40000, loss=0.3751, lr=0.006293, batch_cost=0.5414, reader_cost=0.0001 | ETA 03:35:43 2021-01-17 19:12:46 [INFO] [TRAIN] epoch=25, iter=16100/40000, loss=0.2201, lr=0.006291, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:34:40 2021-01-17 19:12:51 [INFO] [TRAIN] epoch=25, iter=16110/40000, loss=0.1956, lr=0.006289, batch_cost=0.5352, reader_cost=0.0001 | ETA 03:33:05 2021-01-17 19:12:57 [INFO] [TRAIN] epoch=25, iter=16120/40000, loss=0.2359, lr=0.006286, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:34:28 2021-01-17 19:13:02 [INFO] [TRAIN] epoch=25, iter=16130/40000, loss=0.2832, lr=0.006284, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:33:55 2021-01-17 19:13:08 [INFO] [TRAIN] epoch=25, iter=16140/40000, loss=0.2897, lr=0.006282, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:35:32 2021-01-17 19:13:13 [INFO] [TRAIN] epoch=25, iter=16150/40000, loss=0.2896, lr=0.006279, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:34:34 2021-01-17 19:13:18 [INFO] [TRAIN] epoch=25, iter=16160/40000, loss=0.3036, lr=0.006277, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:35:02 2021-01-17 19:13:24 [INFO] [TRAIN] epoch=25, iter=16170/40000, loss=0.4999, lr=0.006274, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:33:58 2021-01-17 19:13:29 [INFO] [TRAIN] epoch=25, iter=16180/40000, loss=0.2617, lr=0.006272, batch_cost=0.5375, reader_cost=0.0001 | ETA 03:33:23 2021-01-17 19:13:35 [INFO] [TRAIN] epoch=25, iter=16190/40000, loss=0.2650, lr=0.006270, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:34:13 2021-01-17 19:13:40 [INFO] [TRAIN] epoch=25, iter=16200/40000, loss=0.3156, lr=0.006267, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:34:22 2021-01-17 19:13:45 [INFO] [TRAIN] epoch=25, iter=16210/40000, loss=0.2836, lr=0.006265, batch_cost=0.5356, reader_cost=0.0001 | ETA 03:32:21 2021-01-17 19:13:51 [INFO] [TRAIN] epoch=25, iter=16220/40000, loss=0.2610, lr=0.006263, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:33:31 2021-01-17 19:13:56 [INFO] [TRAIN] epoch=25, iter=16230/40000, loss=0.3495, lr=0.006260, batch_cost=0.5333, reader_cost=0.0001 | ETA 03:31:16 2021-01-17 19:14:01 [INFO] [TRAIN] epoch=25, iter=16240/40000, loss=0.3184, lr=0.006258, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:34:09 2021-01-17 19:14:07 [INFO] [TRAIN] epoch=25, iter=16250/40000, loss=0.3241, lr=0.006255, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:33:44 2021-01-17 19:14:12 [INFO] [TRAIN] epoch=25, iter=16260/40000, loss=0.3616, lr=0.006253, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:33:02 2021-01-17 19:14:18 [INFO] [TRAIN] epoch=25, iter=16270/40000, loss=0.4090, lr=0.006251, batch_cost=0.5407, reader_cost=0.0001 | ETA 03:33:51 2021-01-17 19:14:23 [INFO] [TRAIN] epoch=25, iter=16280/40000, loss=0.2704, lr=0.006248, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:32:07 2021-01-17 19:14:28 [INFO] [TRAIN] epoch=25, iter=16290/40000, loss=0.4537, lr=0.006246, batch_cost=0.5456, reader_cost=0.0001 | ETA 03:35:36 2021-01-17 19:14:34 [INFO] [TRAIN] epoch=25, iter=16300/40000, loss=0.3282, lr=0.006244, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:33:17 2021-01-17 19:14:39 [INFO] [TRAIN] epoch=25, iter=16310/40000, loss=0.3905, lr=0.006241, batch_cost=0.5338, reader_cost=0.0001 | ETA 03:30:45 2021-01-17 19:14:45 [INFO] [TRAIN] epoch=25, iter=16320/40000, loss=0.2963, lr=0.006239, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:31:49 2021-01-17 19:14:50 [INFO] [TRAIN] epoch=25, iter=16330/40000, loss=0.4358, lr=0.006237, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:32:55 2021-01-17 19:14:55 [INFO] [TRAIN] epoch=25, iter=16340/40000, loss=0.3362, lr=0.006234, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:31:01 2021-01-17 19:15:01 [INFO] [TRAIN] epoch=25, iter=16350/40000, loss=0.2564, lr=0.006232, batch_cost=0.5442, reader_cost=0.0001 | ETA 03:34:30 2021-01-17 19:15:06 [INFO] [TRAIN] epoch=25, iter=16360/40000, loss=0.3194, lr=0.006229, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:31:36 2021-01-17 19:15:12 [INFO] [TRAIN] epoch=25, iter=16370/40000, loss=0.3620, lr=0.006227, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:33:37 2021-01-17 19:15:17 [INFO] [TRAIN] epoch=25, iter=16380/40000, loss=0.2645, lr=0.006225, batch_cost=0.5438, reader_cost=0.0001 | ETA 03:34:04 2021-01-17 19:15:22 [INFO] [TRAIN] epoch=25, iter=16390/40000, loss=0.3343, lr=0.006222, batch_cost=0.5438, reader_cost=0.0001 | ETA 03:33:58 2021-01-17 19:15:28 [INFO] [TRAIN] epoch=25, iter=16400/40000, loss=0.4017, lr=0.006220, batch_cost=0.5339, reader_cost=0.0001 | ETA 03:29:59 2021-01-17 19:15:33 [INFO] [TRAIN] epoch=25, iter=16410/40000, loss=0.3721, lr=0.006218, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:31:40 2021-01-17 19:15:39 [INFO] [TRAIN] epoch=25, iter=16420/40000, loss=0.2635, lr=0.006215, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:31:52 2021-01-17 19:15:44 [INFO] [TRAIN] epoch=25, iter=16430/40000, loss=0.3015, lr=0.006213, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:32:28 2021-01-17 19:15:49 [INFO] [TRAIN] epoch=25, iter=16440/40000, loss=0.2775, lr=0.006210, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:32:08 2021-01-17 19:15:55 [INFO] [TRAIN] epoch=25, iter=16450/40000, loss=0.3932, lr=0.006208, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:31:33 2021-01-17 19:16:00 [INFO] [TRAIN] epoch=25, iter=16460/40000, loss=0.2788, lr=0.006206, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:32:48 2021-01-17 19:16:06 [INFO] [TRAIN] epoch=25, iter=16470/40000, loss=0.2826, lr=0.006203, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:31:23 2021-01-17 19:16:11 [INFO] [TRAIN] epoch=25, iter=16480/40000, loss=0.2332, lr=0.006201, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:30:32 2021-01-17 19:16:16 [INFO] [TRAIN] epoch=25, iter=16490/40000, loss=0.3423, lr=0.006199, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:32:52 2021-01-17 19:16:22 [INFO] [TRAIN] epoch=25, iter=16500/40000, loss=0.2893, lr=0.006196, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:31:26 2021-01-17 19:16:27 [INFO] [TRAIN] epoch=25, iter=16510/40000, loss=0.2182, lr=0.006194, batch_cost=0.5380, reader_cost=0.0001 | ETA 03:30:38 2021-01-17 19:16:33 [INFO] [TRAIN] epoch=25, iter=16520/40000, loss=0.2789, lr=0.006191, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:29:34 2021-01-17 19:16:38 [INFO] [TRAIN] epoch=26, iter=16530/40000, loss=0.3217, lr=0.006189, batch_cost=0.5268, reader_cost=0.0139 | ETA 03:26:03 2021-01-17 19:16:43 [INFO] [TRAIN] epoch=26, iter=16540/40000, loss=0.2873, lr=0.006187, batch_cost=0.5422, reader_cost=0.0001 | ETA 03:31:59 2021-01-17 19:16:49 [INFO] [TRAIN] epoch=26, iter=16550/40000, loss=0.2096, lr=0.006184, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:31:02 2021-01-17 19:16:54 [INFO] [TRAIN] epoch=26, iter=16560/40000, loss=0.2236, lr=0.006182, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:29:37 2021-01-17 19:16:59 [INFO] [TRAIN] epoch=26, iter=16570/40000, loss=0.3294, lr=0.006180, batch_cost=0.5353, reader_cost=0.0001 | ETA 03:29:01 2021-01-17 19:17:05 [INFO] [TRAIN] epoch=26, iter=16580/40000, loss=0.3056, lr=0.006177, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:29:34 2021-01-17 19:17:10 [INFO] [TRAIN] epoch=26, iter=16590/40000, loss=0.2738, lr=0.006175, batch_cost=0.5359, reader_cost=0.0001 | ETA 03:29:06 2021-01-17 19:17:15 [INFO] [TRAIN] epoch=26, iter=16600/40000, loss=0.3278, lr=0.006172, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:29:59 2021-01-17 19:17:21 [INFO] [TRAIN] epoch=26, iter=16610/40000, loss=0.3441, lr=0.006170, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:30:58 2021-01-17 19:17:26 [INFO] [TRAIN] epoch=26, iter=16620/40000, loss=0.3004, lr=0.006168, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:29:58 2021-01-17 19:17:32 [INFO] [TRAIN] epoch=26, iter=16630/40000, loss=0.3258, lr=0.006165, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:30:42 2021-01-17 19:17:37 [INFO] [TRAIN] epoch=26, iter=16640/40000, loss=0.3989, lr=0.006163, batch_cost=0.5361, reader_cost=0.0001 | ETA 03:28:43 2021-01-17 19:17:42 [INFO] [TRAIN] epoch=26, iter=16650/40000, loss=0.3165, lr=0.006161, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:29:05 2021-01-17 19:17:48 [INFO] [TRAIN] epoch=26, iter=16660/40000, loss=0.3814, lr=0.006158, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:28:53 2021-01-17 19:17:53 [INFO] [TRAIN] epoch=26, iter=16670/40000, loss=0.1962, lr=0.006156, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:29:49 2021-01-17 19:17:59 [INFO] [TRAIN] epoch=26, iter=16680/40000, loss=0.2053, lr=0.006153, batch_cost=0.5458, reader_cost=0.0001 | ETA 03:32:06 2021-01-17 19:18:04 [INFO] [TRAIN] epoch=26, iter=16690/40000, loss=0.2815, lr=0.006151, batch_cost=0.5356, reader_cost=0.0001 | ETA 03:28:04 2021-01-17 19:18:09 [INFO] [TRAIN] epoch=26, iter=16700/40000, loss=0.2237, lr=0.006149, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:29:30 2021-01-17 19:18:15 [INFO] [TRAIN] epoch=26, iter=16710/40000, loss=0.2946, lr=0.006146, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:30:23 2021-01-17 19:18:20 [INFO] [TRAIN] epoch=26, iter=16720/40000, loss=0.2605, lr=0.006144, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:28:59 2021-01-17 19:18:26 [INFO] [TRAIN] epoch=26, iter=16730/40000, loss=0.2761, lr=0.006142, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:30:33 2021-01-17 19:18:31 [INFO] [TRAIN] epoch=26, iter=16740/40000, loss=0.3293, lr=0.006139, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:29:10 2021-01-17 19:18:36 [INFO] [TRAIN] epoch=26, iter=16750/40000, loss=0.3400, lr=0.006137, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:29:15 2021-01-17 19:18:42 [INFO] [TRAIN] epoch=26, iter=16760/40000, loss=0.3373, lr=0.006134, batch_cost=0.5350, reader_cost=0.0001 | ETA 03:27:13 2021-01-17 19:18:47 [INFO] [TRAIN] epoch=26, iter=16770/40000, loss=0.2858, lr=0.006132, batch_cost=0.5407, reader_cost=0.0001 | ETA 03:29:20 2021-01-17 19:18:53 [INFO] [TRAIN] epoch=26, iter=16780/40000, loss=0.3234, lr=0.006130, batch_cost=0.5343, reader_cost=0.0001 | ETA 03:26:45 2021-01-17 19:18:58 [INFO] [TRAIN] epoch=26, iter=16790/40000, loss=0.2524, lr=0.006127, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:28:44 2021-01-17 19:19:03 [INFO] [TRAIN] epoch=26, iter=16800/40000, loss=0.2631, lr=0.006125, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:28:55 2021-01-17 19:19:09 [INFO] [TRAIN] epoch=26, iter=16810/40000, loss=0.3208, lr=0.006123, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:28:12 2021-01-17 19:19:14 [INFO] [TRAIN] epoch=26, iter=16820/40000, loss=0.2815, lr=0.006120, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:29:33 2021-01-17 19:19:19 [INFO] [TRAIN] epoch=26, iter=16830/40000, loss=0.2921, lr=0.006118, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:27:31 2021-01-17 19:19:25 [INFO] [TRAIN] epoch=26, iter=16840/40000, loss=0.3885, lr=0.006115, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:26:31 2021-01-17 19:19:30 [INFO] [TRAIN] epoch=26, iter=16850/40000, loss=0.3104, lr=0.006113, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:28:08 2021-01-17 19:19:36 [INFO] [TRAIN] epoch=26, iter=16860/40000, loss=0.3167, lr=0.006111, batch_cost=0.5350, reader_cost=0.0001 | ETA 03:26:20 2021-01-17 19:19:41 [INFO] [TRAIN] epoch=26, iter=16870/40000, loss=0.2753, lr=0.006108, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:27:34 2021-01-17 19:19:46 [INFO] [TRAIN] epoch=26, iter=16880/40000, loss=0.3267, lr=0.006106, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:27:31 2021-01-17 19:19:52 [INFO] [TRAIN] epoch=26, iter=16890/40000, loss=0.2952, lr=0.006104, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:26:53 2021-01-17 19:19:57 [INFO] [TRAIN] epoch=26, iter=16900/40000, loss=0.3287, lr=0.006101, batch_cost=0.5340, reader_cost=0.0001 | ETA 03:25:35 2021-01-17 19:20:02 [INFO] [TRAIN] epoch=26, iter=16910/40000, loss=0.3513, lr=0.006099, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:27:11 2021-01-17 19:20:08 [INFO] [TRAIN] epoch=26, iter=16920/40000, loss=0.2873, lr=0.006096, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:26:17 2021-01-17 19:20:13 [INFO] [TRAIN] epoch=26, iter=16930/40000, loss=0.2683, lr=0.006094, batch_cost=0.5335, reader_cost=0.0001 | ETA 03:25:07 2021-01-17 19:20:19 [INFO] [TRAIN] epoch=26, iter=16940/40000, loss=0.3421, lr=0.006092, batch_cost=0.5336, reader_cost=0.0001 | ETA 03:25:05 2021-01-17 19:20:24 [INFO] [TRAIN] epoch=26, iter=16950/40000, loss=0.3858, lr=0.006089, batch_cost=0.5373, reader_cost=0.0001 | ETA 03:26:25 2021-01-17 19:20:29 [INFO] [TRAIN] epoch=26, iter=16960/40000, loss=0.3404, lr=0.006087, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:25:59 2021-01-17 19:20:35 [INFO] [TRAIN] epoch=26, iter=16970/40000, loss=0.2304, lr=0.006085, batch_cost=0.5361, reader_cost=0.0001 | ETA 03:25:47 2021-01-17 19:20:40 [INFO] [TRAIN] epoch=26, iter=16980/40000, loss=0.4179, lr=0.006082, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:27:06 2021-01-17 19:20:45 [INFO] [TRAIN] epoch=26, iter=16990/40000, loss=0.2790, lr=0.006080, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:27:05 2021-01-17 19:20:51 [INFO] [TRAIN] epoch=26, iter=17000/40000, loss=0.2011, lr=0.006077, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:26:22 2021-01-17 19:20:51 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:21:11 [INFO] [EVAL] #Images=1449 mIoU=0.7569 Acc=0.9448 Kappa=0.8779 2021-01-17 19:21:11 [INFO] [EVAL] Class IoU: [0.9424 0.9151 0.4298 0.8931 0.6684 0.8283 0.9488 0.8756 0.8851 0.4154 0.6456 0.6458 0.7323 0.8307 0.8638 0.8479 0.667 0.8443 0.4303 0.8775 0.7082] 2021-01-17 19:21:11 [INFO] [EVAL] Class Acc: [0.9665 0.9514 0.4575 0.9406 0.7445 0.8966 0.9818 0.9616 0.928 0.6013 0.9823 0.8514 0.7705 0.8995 0.9225 0.925 0.8582 0.8839 0.8552 0.9477 0.8484] 2021-01-17 19:21:15 [INFO] [EVAL] The model with the best validation mIoU (0.7821) was saved at iter 16000. 2021-01-17 19:21:20 [INFO] [TRAIN] epoch=26, iter=17010/40000, loss=0.2833, lr=0.006075, batch_cost=0.5315, reader_cost=0.0001 | ETA 03:23:39 2021-01-17 19:21:25 [INFO] [TRAIN] epoch=26, iter=17020/40000, loss=0.2531, lr=0.006073, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:27:34 2021-01-17 19:21:31 [INFO] [TRAIN] epoch=26, iter=17030/40000, loss=0.2530, lr=0.006070, batch_cost=0.5336, reader_cost=0.0001 | ETA 03:24:15 2021-01-17 19:21:36 [INFO] [TRAIN] epoch=26, iter=17040/40000, loss=0.3638, lr=0.006068, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:26:45 2021-01-17 19:21:42 [INFO] [TRAIN] epoch=26, iter=17050/40000, loss=0.2920, lr=0.006066, batch_cost=0.5406, reader_cost=0.0001 | ETA 03:26:46 2021-01-17 19:21:47 [INFO] [TRAIN] epoch=26, iter=17060/40000, loss=0.3694, lr=0.006063, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:25:04 2021-01-17 19:21:52 [INFO] [TRAIN] epoch=26, iter=17070/40000, loss=0.3199, lr=0.006061, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:26:13 2021-01-17 19:21:58 [INFO] [TRAIN] epoch=26, iter=17080/40000, loss=0.3918, lr=0.006058, batch_cost=0.5375, reader_cost=0.0001 | ETA 03:25:19 2021-01-17 19:22:03 [INFO] [TRAIN] epoch=26, iter=17090/40000, loss=0.3067, lr=0.006056, batch_cost=0.5459, reader_cost=0.0001 | ETA 03:28:25 2021-01-17 19:22:09 [INFO] [TRAIN] epoch=26, iter=17100/40000, loss=0.3130, lr=0.006054, batch_cost=0.5450, reader_cost=0.0001 | ETA 03:27:59 2021-01-17 19:22:14 [INFO] [TRAIN] epoch=26, iter=17110/40000, loss=0.3044, lr=0.006051, batch_cost=0.5444, reader_cost=0.0001 | ETA 03:27:40 2021-01-17 19:22:20 [INFO] [TRAIN] epoch=26, iter=17120/40000, loss=0.3187, lr=0.006049, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:27:11 2021-01-17 19:22:25 [INFO] [TRAIN] epoch=26, iter=17130/40000, loss=0.3728, lr=0.006046, batch_cost=0.5372, reader_cost=0.0001 | ETA 03:24:46 2021-01-17 19:22:30 [INFO] [TRAIN] epoch=26, iter=17140/40000, loss=0.4574, lr=0.006044, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:26:46 2021-01-17 19:22:36 [INFO] [TRAIN] epoch=26, iter=17150/40000, loss=0.2815, lr=0.006042, batch_cost=0.5330, reader_cost=0.0001 | ETA 03:22:59 2021-01-17 19:22:41 [INFO] [TRAIN] epoch=26, iter=17160/40000, loss=0.2538, lr=0.006039, batch_cost=0.5325, reader_cost=0.0001 | ETA 03:22:41 2021-01-17 19:22:46 [INFO] [TRAIN] epoch=26, iter=17170/40000, loss=0.3898, lr=0.006037, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:26:39 2021-01-17 19:22:52 [INFO] [TRAIN] epoch=26, iter=17180/40000, loss=0.2836, lr=0.006035, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:24:22 2021-01-17 19:22:57 [INFO] [TRAIN] epoch=27, iter=17190/40000, loss=0.3852, lr=0.006032, batch_cost=0.5290, reader_cost=0.0175 | ETA 03:21:06 2021-01-17 19:23:02 [INFO] [TRAIN] epoch=27, iter=17200/40000, loss=0.2930, lr=0.006030, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:25:11 2021-01-17 19:23:08 [INFO] [TRAIN] epoch=27, iter=17210/40000, loss=0.3017, lr=0.006027, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:24:56 2021-01-17 19:23:13 [INFO] [TRAIN] epoch=27, iter=17220/40000, loss=0.2982, lr=0.006025, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:24:34 2021-01-17 19:23:19 [INFO] [TRAIN] epoch=27, iter=17230/40000, loss=0.3104, lr=0.006023, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:25:07 2021-01-17 19:23:24 [INFO] [TRAIN] epoch=27, iter=17240/40000, loss=0.2944, lr=0.006020, batch_cost=0.5362, reader_cost=0.0001 | ETA 03:23:22 2021-01-17 19:23:29 [INFO] [TRAIN] epoch=27, iter=17250/40000, loss=0.4489, lr=0.006018, batch_cost=0.5361, reader_cost=0.0001 | ETA 03:23:15 2021-01-17 19:23:35 [INFO] [TRAIN] epoch=27, iter=17260/40000, loss=0.3631, lr=0.006016, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:24:20 2021-01-17 19:23:40 [INFO] [TRAIN] epoch=27, iter=17270/40000, loss=0.2273, lr=0.006013, batch_cost=0.5375, reader_cost=0.0001 | ETA 03:23:37 2021-01-17 19:23:46 [INFO] [TRAIN] epoch=27, iter=17280/40000, loss=0.2159, lr=0.006011, batch_cost=0.5447, reader_cost=0.0001 | ETA 03:26:14 2021-01-17 19:23:51 [INFO] [TRAIN] epoch=27, iter=17290/40000, loss=0.4156, lr=0.006008, batch_cost=0.5399, reader_cost=0.0001 | ETA 03:24:20 2021-01-17 19:23:56 [INFO] [TRAIN] epoch=27, iter=17300/40000, loss=0.3120, lr=0.006006, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:23:49 2021-01-17 19:24:02 [INFO] [TRAIN] epoch=27, iter=17310/40000, loss=0.3199, lr=0.006004, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:22:56 2021-01-17 19:24:07 [INFO] [TRAIN] epoch=27, iter=17320/40000, loss=0.3031, lr=0.006001, batch_cost=0.5437, reader_cost=0.0001 | ETA 03:25:30 2021-01-17 19:24:13 [INFO] [TRAIN] epoch=27, iter=17330/40000, loss=0.2661, lr=0.005999, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:23:45 2021-01-17 19:24:18 [INFO] [TRAIN] epoch=27, iter=17340/40000, loss=0.3065, lr=0.005996, batch_cost=0.5361, reader_cost=0.0001 | ETA 03:22:27 2021-01-17 19:24:23 [INFO] [TRAIN] epoch=27, iter=17350/40000, loss=0.4325, lr=0.005994, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:22:45 2021-01-17 19:24:29 [INFO] [TRAIN] epoch=27, iter=17360/40000, loss=0.2866, lr=0.005992, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:23:53 2021-01-17 19:24:34 [INFO] [TRAIN] epoch=27, iter=17370/40000, loss=0.3274, lr=0.005989, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:24:26 2021-01-17 19:24:40 [INFO] [TRAIN] epoch=27, iter=17380/40000, loss=0.3397, lr=0.005987, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:24:04 2021-01-17 19:24:45 [INFO] [TRAIN] epoch=27, iter=17390/40000, loss=0.2585, lr=0.005985, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:24:09 2021-01-17 19:24:50 [INFO] [TRAIN] epoch=27, iter=17400/40000, loss=0.2784, lr=0.005982, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:22:29 2021-01-17 19:24:56 [INFO] [TRAIN] epoch=27, iter=17410/40000, loss=0.3636, lr=0.005980, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:22:20 2021-01-17 19:25:01 [INFO] [TRAIN] epoch=27, iter=17420/40000, loss=0.3117, lr=0.005977, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:21:37 2021-01-17 19:25:07 [INFO] [TRAIN] epoch=27, iter=17430/40000, loss=0.3630, lr=0.005975, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:23:47 2021-01-17 19:25:12 [INFO] [TRAIN] epoch=27, iter=17440/40000, loss=0.2442, lr=0.005973, batch_cost=0.5419, reader_cost=0.0001 | ETA 03:23:44 2021-01-17 19:25:17 [INFO] [TRAIN] epoch=27, iter=17450/40000, loss=0.3062, lr=0.005970, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:22:31 2021-01-17 19:25:23 [INFO] [TRAIN] epoch=27, iter=17460/40000, loss=0.3102, lr=0.005968, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:22:07 2021-01-17 19:25:28 [INFO] [TRAIN] epoch=27, iter=17470/40000, loss=0.2177, lr=0.005966, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:23:09 2021-01-17 19:25:34 [INFO] [TRAIN] epoch=27, iter=17480/40000, loss=0.2275, lr=0.005963, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:22:26 2021-01-17 19:25:39 [INFO] [TRAIN] epoch=27, iter=17490/40000, loss=0.2976, lr=0.005961, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:22:25 2021-01-17 19:25:44 [INFO] [TRAIN] epoch=27, iter=17500/40000, loss=0.4196, lr=0.005958, batch_cost=0.5407, reader_cost=0.0001 | ETA 03:22:46 2021-01-17 19:25:50 [INFO] [TRAIN] epoch=27, iter=17510/40000, loss=0.4581, lr=0.005956, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:21:40 2021-01-17 19:25:55 [INFO] [TRAIN] epoch=27, iter=17520/40000, loss=0.2944, lr=0.005954, batch_cost=0.5432, reader_cost=0.0001 | ETA 03:23:31 2021-01-17 19:26:01 [INFO] [TRAIN] epoch=27, iter=17530/40000, loss=0.2885, lr=0.005951, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:21:56 2021-01-17 19:26:06 [INFO] [TRAIN] epoch=27, iter=17540/40000, loss=0.4023, lr=0.005949, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:20:18 2021-01-17 19:26:11 [INFO] [TRAIN] epoch=27, iter=17550/40000, loss=0.3345, lr=0.005946, batch_cost=0.5419, reader_cost=0.0001 | ETA 03:22:44 2021-01-17 19:26:17 [INFO] [TRAIN] epoch=27, iter=17560/40000, loss=0.3412, lr=0.005944, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:21:52 2021-01-17 19:26:22 [INFO] [TRAIN] epoch=27, iter=17570/40000, loss=0.2419, lr=0.005942, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:22:02 2021-01-17 19:26:28 [INFO] [TRAIN] epoch=27, iter=17580/40000, loss=0.2904, lr=0.005939, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:22:38 2021-01-17 19:26:33 [INFO] [TRAIN] epoch=27, iter=17590/40000, loss=0.2897, lr=0.005937, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:20:01 2021-01-17 19:26:38 [INFO] [TRAIN] epoch=27, iter=17600/40000, loss=0.5048, lr=0.005935, batch_cost=0.5426, reader_cost=0.0001 | ETA 03:22:34 2021-01-17 19:26:44 [INFO] [TRAIN] epoch=27, iter=17610/40000, loss=0.3268, lr=0.005932, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:21:22 2021-01-17 19:26:49 [INFO] [TRAIN] epoch=27, iter=17620/40000, loss=0.2678, lr=0.005930, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:20:17 2021-01-17 19:26:54 [INFO] [TRAIN] epoch=27, iter=17630/40000, loss=0.4173, lr=0.005927, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:20:25 2021-01-17 19:27:00 [INFO] [TRAIN] epoch=27, iter=17640/40000, loss=0.2932, lr=0.005925, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:21:06 2021-01-17 19:27:05 [INFO] [TRAIN] epoch=27, iter=17650/40000, loss=0.3766, lr=0.005923, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:19:35 2021-01-17 19:27:11 [INFO] [TRAIN] epoch=27, iter=17660/40000, loss=0.5814, lr=0.005920, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:20:26 2021-01-17 19:27:16 [INFO] [TRAIN] epoch=27, iter=17670/40000, loss=0.2694, lr=0.005918, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:20:11 2021-01-17 19:27:21 [INFO] [TRAIN] epoch=27, iter=17680/40000, loss=0.3146, lr=0.005915, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:21:13 2021-01-17 19:27:27 [INFO] [TRAIN] epoch=27, iter=17690/40000, loss=0.3123, lr=0.005913, batch_cost=0.5419, reader_cost=0.0001 | ETA 03:21:29 2021-01-17 19:27:32 [INFO] [TRAIN] epoch=27, iter=17700/40000, loss=0.3291, lr=0.005911, batch_cost=0.5420, reader_cost=0.0001 | ETA 03:21:25 2021-01-17 19:27:38 [INFO] [TRAIN] epoch=27, iter=17710/40000, loss=0.3190, lr=0.005908, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:20:55 2021-01-17 19:27:43 [INFO] [TRAIN] epoch=27, iter=17720/40000, loss=0.2766, lr=0.005906, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:20:13 2021-01-17 19:27:48 [INFO] [TRAIN] epoch=27, iter=17730/40000, loss=0.2769, lr=0.005904, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:20:48 2021-01-17 19:27:54 [INFO] [TRAIN] epoch=27, iter=17740/40000, loss=0.3549, lr=0.005901, batch_cost=0.5435, reader_cost=0.0001 | ETA 03:21:39 2021-01-17 19:27:59 [INFO] [TRAIN] epoch=27, iter=17750/40000, loss=0.4158, lr=0.005899, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:20:08 2021-01-17 19:28:05 [INFO] [TRAIN] epoch=27, iter=17760/40000, loss=0.3231, lr=0.005896, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:19:01 2021-01-17 19:28:10 [INFO] [TRAIN] epoch=27, iter=17770/40000, loss=0.2798, lr=0.005894, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:19:10 2021-01-17 19:28:15 [INFO] [TRAIN] epoch=27, iter=17780/40000, loss=0.2862, lr=0.005892, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:20:10 2021-01-17 19:28:21 [INFO] [TRAIN] epoch=27, iter=17790/40000, loss=0.4275, lr=0.005889, batch_cost=0.5336, reader_cost=0.0001 | ETA 03:17:31 2021-01-17 19:28:26 [INFO] [TRAIN] epoch=27, iter=17800/40000, loss=0.2680, lr=0.005887, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:20:13 2021-01-17 19:28:32 [INFO] [TRAIN] epoch=27, iter=17810/40000, loss=0.2555, lr=0.005884, batch_cost=0.5356, reader_cost=0.0001 | ETA 03:18:04 2021-01-17 19:28:37 [INFO] [TRAIN] epoch=27, iter=17820/40000, loss=0.4047, lr=0.005882, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:20:24 2021-01-17 19:28:42 [INFO] [TRAIN] epoch=27, iter=17830/40000, loss=0.2073, lr=0.005880, batch_cost=0.5345, reader_cost=0.0001 | ETA 03:17:30 2021-01-17 19:28:48 [INFO] [TRAIN] epoch=27, iter=17840/40000, loss=0.3012, lr=0.005877, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:18:19 2021-01-17 19:28:53 [INFO] [TRAIN] epoch=28, iter=17850/40000, loss=0.2614, lr=0.005875, batch_cost=0.5330, reader_cost=0.0135 | ETA 03:16:46 2021-01-17 19:28:58 [INFO] [TRAIN] epoch=28, iter=17860/40000, loss=0.3646, lr=0.005873, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:20:28 2021-01-17 19:29:04 [INFO] [TRAIN] epoch=28, iter=17870/40000, loss=0.3550, lr=0.005870, batch_cost=0.5333, reader_cost=0.0001 | ETA 03:16:42 2021-01-17 19:29:09 [INFO] [TRAIN] epoch=28, iter=17880/40000, loss=0.2542, lr=0.005868, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:18:46 2021-01-17 19:29:15 [INFO] [TRAIN] epoch=28, iter=17890/40000, loss=0.2312, lr=0.005865, batch_cost=0.5439, reader_cost=0.0001 | ETA 03:20:25 2021-01-17 19:29:20 [INFO] [TRAIN] epoch=28, iter=17900/40000, loss=0.2509, lr=0.005863, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:18:30 2021-01-17 19:29:25 [INFO] [TRAIN] epoch=28, iter=17910/40000, loss=0.2347, lr=0.005861, batch_cost=0.5461, reader_cost=0.0001 | ETA 03:21:03 2021-01-17 19:29:31 [INFO] [TRAIN] epoch=28, iter=17920/40000, loss=0.3414, lr=0.005858, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:19:11 2021-01-17 19:29:36 [INFO] [TRAIN] epoch=28, iter=17930/40000, loss=0.2970, lr=0.005856, batch_cost=0.5333, reader_cost=0.0001 | ETA 03:16:09 2021-01-17 19:29:42 [INFO] [TRAIN] epoch=28, iter=17940/40000, loss=0.2972, lr=0.005853, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:17:46 2021-01-17 19:29:47 [INFO] [TRAIN] epoch=28, iter=17950/40000, loss=0.3117, lr=0.005851, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:18:44 2021-01-17 19:29:52 [INFO] [TRAIN] epoch=28, iter=17960/40000, loss=0.3039, lr=0.005849, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:17:07 2021-01-17 19:29:58 [INFO] [TRAIN] epoch=28, iter=17970/40000, loss=0.1950, lr=0.005846, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:18:26 2021-01-17 19:30:03 [INFO] [TRAIN] epoch=28, iter=17980/40000, loss=0.3667, lr=0.005844, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:17:40 2021-01-17 19:30:09 [INFO] [TRAIN] epoch=28, iter=17990/40000, loss=0.2250, lr=0.005841, batch_cost=0.5405, reader_cost=0.0001 | ETA 03:18:16 2021-01-17 19:30:14 [INFO] [TRAIN] epoch=28, iter=18000/40000, loss=0.2495, lr=0.005839, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:17:10 2021-01-17 19:30:14 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:30:34 [INFO] [EVAL] #Images=1449 mIoU=0.7712 Acc=0.9491 Kappa=0.8869 2021-01-17 19:30:34 [INFO] [EVAL] Class IoU: [0.9445 0.8942 0.4317 0.8784 0.6638 0.8344 0.9332 0.8906 0.8986 0.4167 0.8386 0.5665 0.8534 0.8416 0.862 0.855 0.601 0.8531 0.5406 0.8637 0.7334] 2021-01-17 19:30:34 [INFO] [EVAL] Class Acc: [0.9651 0.9217 0.4464 0.9343 0.8236 0.9103 0.9677 0.9536 0.9346 0.6513 0.936 0.9144 0.9267 0.8884 0.9071 0.9525 0.8874 0.9347 0.7313 0.9659 0.9182] 2021-01-17 19:30:38 [INFO] [EVAL] The model with the best validation mIoU (0.7821) was saved at iter 16000. 2021-01-17 19:30:43 [INFO] [TRAIN] epoch=28, iter=18010/40000, loss=0.2381, lr=0.005837, batch_cost=0.5331, reader_cost=0.0001 | ETA 03:15:22 2021-01-17 19:30:49 [INFO] [TRAIN] epoch=28, iter=18020/40000, loss=0.2987, lr=0.005834, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:16:35 2021-01-17 19:30:54 [INFO] [TRAIN] epoch=28, iter=18030/40000, loss=0.2826, lr=0.005832, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:17:42 2021-01-17 19:31:00 [INFO] [TRAIN] epoch=28, iter=18040/40000, loss=0.2842, lr=0.005830, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:18:07 2021-01-17 19:31:05 [INFO] [TRAIN] epoch=28, iter=18050/40000, loss=0.2077, lr=0.005827, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:15:44 2021-01-17 19:31:10 [INFO] [TRAIN] epoch=28, iter=18060/40000, loss=0.2937, lr=0.005825, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:18:31 2021-01-17 19:31:16 [INFO] [TRAIN] epoch=28, iter=18070/40000, loss=0.3588, lr=0.005822, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:16:36 2021-01-17 19:31:21 [INFO] [TRAIN] epoch=28, iter=18080/40000, loss=0.3119, lr=0.005820, batch_cost=0.5359, reader_cost=0.0001 | ETA 03:15:46 2021-01-17 19:31:26 [INFO] [TRAIN] epoch=28, iter=18090/40000, loss=0.2631, lr=0.005818, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:17:28 2021-01-17 19:31:32 [INFO] [TRAIN] epoch=28, iter=18100/40000, loss=0.2981, lr=0.005815, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:15:27 2021-01-17 19:31:37 [INFO] [TRAIN] epoch=28, iter=18110/40000, loss=0.2545, lr=0.005813, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:15:41 2021-01-17 19:31:43 [INFO] [TRAIN] epoch=28, iter=18120/40000, loss=0.5840, lr=0.005810, batch_cost=0.5451, reader_cost=0.0001 | ETA 03:18:46 2021-01-17 19:31:48 [INFO] [TRAIN] epoch=28, iter=18130/40000, loss=0.3796, lr=0.005808, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:17:08 2021-01-17 19:31:53 [INFO] [TRAIN] epoch=28, iter=18140/40000, loss=0.2912, lr=0.005806, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:17:51 2021-01-17 19:31:59 [INFO] [TRAIN] epoch=28, iter=18150/40000, loss=0.2649, lr=0.005803, batch_cost=0.5350, reader_cost=0.0001 | ETA 03:14:50 2021-01-17 19:32:04 [INFO] [TRAIN] epoch=28, iter=18160/40000, loss=0.3335, lr=0.005801, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:16:22 2021-01-17 19:32:10 [INFO] [TRAIN] epoch=28, iter=18170/40000, loss=0.3610, lr=0.005798, batch_cost=0.5445, reader_cost=0.0001 | ETA 03:18:06 2021-01-17 19:32:15 [INFO] [TRAIN] epoch=28, iter=18180/40000, loss=0.2711, lr=0.005796, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:15:42 2021-01-17 19:32:20 [INFO] [TRAIN] epoch=28, iter=18190/40000, loss=0.2407, lr=0.005794, batch_cost=0.5380, reader_cost=0.0001 | ETA 03:15:34 2021-01-17 19:32:26 [INFO] [TRAIN] epoch=28, iter=18200/40000, loss=0.2469, lr=0.005791, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:16:18 2021-01-17 19:32:31 [INFO] [TRAIN] epoch=28, iter=18210/40000, loss=0.3000, lr=0.005789, batch_cost=0.5426, reader_cost=0.0001 | ETA 03:17:02 2021-01-17 19:32:37 [INFO] [TRAIN] epoch=28, iter=18220/40000, loss=0.2819, lr=0.005787, batch_cost=0.5452, reader_cost=0.0001 | ETA 03:17:54 2021-01-17 19:32:42 [INFO] [TRAIN] epoch=28, iter=18230/40000, loss=0.2856, lr=0.005784, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:16:45 2021-01-17 19:32:48 [INFO] [TRAIN] epoch=28, iter=18240/40000, loss=0.1861, lr=0.005782, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:16:10 2021-01-17 19:32:53 [INFO] [TRAIN] epoch=28, iter=18250/40000, loss=0.2233, lr=0.005779, batch_cost=0.5341, reader_cost=0.0001 | ETA 03:13:35 2021-01-17 19:32:58 [INFO] [TRAIN] epoch=28, iter=18260/40000, loss=0.2937, lr=0.005777, batch_cost=0.5362, reader_cost=0.0001 | ETA 03:14:16 2021-01-17 19:33:04 [INFO] [TRAIN] epoch=28, iter=18270/40000, loss=0.3163, lr=0.005775, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:15:36 2021-01-17 19:33:09 [INFO] [TRAIN] epoch=28, iter=18280/40000, loss=0.3170, lr=0.005772, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:14:21 2021-01-17 19:33:14 [INFO] [TRAIN] epoch=28, iter=18290/40000, loss=0.2202, lr=0.005770, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:17:07 2021-01-17 19:33:20 [INFO] [TRAIN] epoch=28, iter=18300/40000, loss=0.2230, lr=0.005767, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:13:46 2021-01-17 19:33:25 [INFO] [TRAIN] epoch=28, iter=18310/40000, loss=0.1923, lr=0.005765, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:15:52 2021-01-17 19:33:31 [INFO] [TRAIN] epoch=28, iter=18320/40000, loss=0.2380, lr=0.005763, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:13:48 2021-01-17 19:33:36 [INFO] [TRAIN] epoch=28, iter=18330/40000, loss=0.3013, lr=0.005760, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:14:55 2021-01-17 19:33:41 [INFO] [TRAIN] epoch=28, iter=18340/40000, loss=0.2629, lr=0.005758, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:14:00 2021-01-17 19:33:47 [INFO] [TRAIN] epoch=28, iter=18350/40000, loss=0.4054, lr=0.005755, batch_cost=0.5431, reader_cost=0.0001 | ETA 03:15:58 2021-01-17 19:33:52 [INFO] [TRAIN] epoch=28, iter=18360/40000, loss=0.2025, lr=0.005753, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:13:48 2021-01-17 19:33:58 [INFO] [TRAIN] epoch=28, iter=18370/40000, loss=0.3525, lr=0.005751, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:14:09 2021-01-17 19:34:03 [INFO] [TRAIN] epoch=28, iter=18380/40000, loss=0.2831, lr=0.005748, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:16:18 2021-01-17 19:34:08 [INFO] [TRAIN] epoch=28, iter=18390/40000, loss=0.2720, lr=0.005746, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:13:44 2021-01-17 19:34:14 [INFO] [TRAIN] epoch=28, iter=18400/40000, loss=0.3549, lr=0.005743, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:14:12 2021-01-17 19:34:19 [INFO] [TRAIN] epoch=28, iter=18410/40000, loss=0.2020, lr=0.005741, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:13:39 2021-01-17 19:34:25 [INFO] [TRAIN] epoch=28, iter=18420/40000, loss=0.3614, lr=0.005739, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:15:03 2021-01-17 19:34:30 [INFO] [TRAIN] epoch=28, iter=18430/40000, loss=0.3671, lr=0.005736, batch_cost=0.5351, reader_cost=0.0001 | ETA 03:12:22 2021-01-17 19:34:35 [INFO] [TRAIN] epoch=28, iter=18440/40000, loss=0.1964, lr=0.005734, batch_cost=0.5417, reader_cost=0.0001 | ETA 03:14:38 2021-01-17 19:34:41 [INFO] [TRAIN] epoch=28, iter=18450/40000, loss=0.2236, lr=0.005731, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:13:43 2021-01-17 19:34:46 [INFO] [TRAIN] epoch=28, iter=18460/40000, loss=0.3225, lr=0.005729, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:13:30 2021-01-17 19:34:52 [INFO] [TRAIN] epoch=28, iter=18470/40000, loss=0.3070, lr=0.005727, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:13:40 2021-01-17 19:34:57 [INFO] [TRAIN] epoch=28, iter=18480/40000, loss=0.3123, lr=0.005724, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:12:28 2021-01-17 19:35:02 [INFO] [TRAIN] epoch=28, iter=18490/40000, loss=0.3612, lr=0.005722, batch_cost=0.5371, reader_cost=0.0001 | ETA 03:12:33 2021-01-17 19:35:08 [INFO] [TRAIN] epoch=28, iter=18500/40000, loss=0.2806, lr=0.005720, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:14:20 2021-01-17 19:35:13 [INFO] [TRAIN] epoch=29, iter=18510/40000, loss=0.3242, lr=0.005717, batch_cost=0.5327, reader_cost=0.0171 | ETA 03:10:47 2021-01-17 19:35:18 [INFO] [TRAIN] epoch=29, iter=18520/40000, loss=0.2502, lr=0.005715, batch_cost=0.5381, reader_cost=0.0001 | ETA 03:12:37 2021-01-17 19:35:24 [INFO] [TRAIN] epoch=29, iter=18530/40000, loss=0.2154, lr=0.005712, batch_cost=0.5393, reader_cost=0.0001 | ETA 03:12:58 2021-01-17 19:35:29 [INFO] [TRAIN] epoch=29, iter=18540/40000, loss=0.2023, lr=0.005710, batch_cost=0.5406, reader_cost=0.0001 | ETA 03:13:21 2021-01-17 19:35:35 [INFO] [TRAIN] epoch=29, iter=18550/40000, loss=0.2228, lr=0.005708, batch_cost=0.5411, reader_cost=0.0001 | ETA 03:13:26 2021-01-17 19:35:40 [INFO] [TRAIN] epoch=29, iter=18560/40000, loss=0.2363, lr=0.005705, batch_cost=0.5357, reader_cost=0.0001 | ETA 03:11:25 2021-01-17 19:35:45 [INFO] [TRAIN] epoch=29, iter=18570/40000, loss=0.2363, lr=0.005703, batch_cost=0.5380, reader_cost=0.0001 | ETA 03:12:09 2021-01-17 19:35:51 [INFO] [TRAIN] epoch=29, iter=18580/40000, loss=0.3432, lr=0.005700, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:12:53 2021-01-17 19:35:56 [INFO] [TRAIN] epoch=29, iter=18590/40000, loss=0.2663, lr=0.005698, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:12:29 2021-01-17 19:36:02 [INFO] [TRAIN] epoch=29, iter=18600/40000, loss=0.2449, lr=0.005696, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:12:01 2021-01-17 19:36:07 [INFO] [TRAIN] epoch=29, iter=18610/40000, loss=0.2667, lr=0.005693, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:12:38 2021-01-17 19:36:12 [INFO] [TRAIN] epoch=29, iter=18620/40000, loss=0.1840, lr=0.005691, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:12:05 2021-01-17 19:36:18 [INFO] [TRAIN] epoch=29, iter=18630/40000, loss=0.3561, lr=0.005688, batch_cost=0.5378, reader_cost=0.0001 | ETA 03:11:31 2021-01-17 19:36:23 [INFO] [TRAIN] epoch=29, iter=18640/40000, loss=0.3024, lr=0.005686, batch_cost=0.5417, reader_cost=0.0001 | ETA 03:12:50 2021-01-17 19:36:29 [INFO] [TRAIN] epoch=29, iter=18650/40000, loss=0.2543, lr=0.005684, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:12:00 2021-01-17 19:36:34 [INFO] [TRAIN] epoch=29, iter=18660/40000, loss=0.2724, lr=0.005681, batch_cost=0.5356, reader_cost=0.0001 | ETA 03:10:30 2021-01-17 19:36:39 [INFO] [TRAIN] epoch=29, iter=18670/40000, loss=0.2541, lr=0.005679, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:11:46 2021-01-17 19:36:45 [INFO] [TRAIN] epoch=29, iter=18680/40000, loss=0.2546, lr=0.005676, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:12:20 2021-01-17 19:36:50 [INFO] [TRAIN] epoch=29, iter=18690/40000, loss=0.2651, lr=0.005674, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:11:55 2021-01-17 19:36:56 [INFO] [TRAIN] epoch=29, iter=18700/40000, loss=0.2696, lr=0.005672, batch_cost=0.5427, reader_cost=0.0001 | ETA 03:12:39 2021-01-17 19:37:01 [INFO] [TRAIN] epoch=29, iter=18710/40000, loss=0.3317, lr=0.005669, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:11:37 2021-01-17 19:37:06 [INFO] [TRAIN] epoch=29, iter=18720/40000, loss=0.2469, lr=0.005667, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:10:02 2021-01-17 19:37:12 [INFO] [TRAIN] epoch=29, iter=18730/40000, loss=0.3876, lr=0.005664, batch_cost=0.5390, reader_cost=0.0001 | ETA 03:11:05 2021-01-17 19:37:17 [INFO] [TRAIN] epoch=29, iter=18740/40000, loss=0.3398, lr=0.005662, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:09:51 2021-01-17 19:37:22 [INFO] [TRAIN] epoch=29, iter=18750/40000, loss=0.2556, lr=0.005660, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:10:46 2021-01-17 19:37:28 [INFO] [TRAIN] epoch=29, iter=18760/40000, loss=0.3213, lr=0.005657, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:11:17 2021-01-17 19:37:33 [INFO] [TRAIN] epoch=29, iter=18770/40000, loss=0.2907, lr=0.005655, batch_cost=0.5333, reader_cost=0.0001 | ETA 03:08:41 2021-01-17 19:37:39 [INFO] [TRAIN] epoch=29, iter=18780/40000, loss=0.2903, lr=0.005652, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:11:43 2021-01-17 19:37:44 [INFO] [TRAIN] epoch=29, iter=18790/40000, loss=0.2778, lr=0.005650, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:10:43 2021-01-17 19:37:49 [INFO] [TRAIN] epoch=29, iter=18800/40000, loss=0.2449, lr=0.005648, batch_cost=0.5366, reader_cost=0.0001 | ETA 03:09:36 2021-01-17 19:37:55 [INFO] [TRAIN] epoch=29, iter=18810/40000, loss=0.3460, lr=0.005645, batch_cost=0.5380, reader_cost=0.0001 | ETA 03:09:59 2021-01-17 19:38:00 [INFO] [TRAIN] epoch=29, iter=18820/40000, loss=0.2859, lr=0.005643, batch_cost=0.5395, reader_cost=0.0001 | ETA 03:10:26 2021-01-17 19:38:06 [INFO] [TRAIN] epoch=29, iter=18830/40000, loss=0.2434, lr=0.005640, batch_cost=0.5454, reader_cost=0.0001 | ETA 03:12:25 2021-01-17 19:38:11 [INFO] [TRAIN] epoch=29, iter=18840/40000, loss=0.2461, lr=0.005638, batch_cost=0.5467, reader_cost=0.0001 | ETA 03:12:47 2021-01-17 19:38:16 [INFO] [TRAIN] epoch=29, iter=18850/40000, loss=0.2549, lr=0.005636, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:10:01 2021-01-17 19:38:22 [INFO] [TRAIN] epoch=29, iter=18860/40000, loss=0.1940, lr=0.005633, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:09:38 2021-01-17 19:38:27 [INFO] [TRAIN] epoch=29, iter=18870/40000, loss=0.3413, lr=0.005631, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:09:39 2021-01-17 19:38:33 [INFO] [TRAIN] epoch=29, iter=18880/40000, loss=0.2599, lr=0.005628, batch_cost=0.5368, reader_cost=0.0001 | ETA 03:08:58 2021-01-17 19:38:38 [INFO] [TRAIN] epoch=29, iter=18890/40000, loss=0.3303, lr=0.005626, batch_cost=0.5357, reader_cost=0.0001 | ETA 03:08:27 2021-01-17 19:38:43 [INFO] [TRAIN] epoch=29, iter=18900/40000, loss=0.2521, lr=0.005624, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:08:47 2021-01-17 19:38:49 [INFO] [TRAIN] epoch=29, iter=18910/40000, loss=0.2815, lr=0.005621, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:09:41 2021-01-17 19:38:54 [INFO] [TRAIN] epoch=29, iter=18920/40000, loss=0.3007, lr=0.005619, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:09:37 2021-01-17 19:38:59 [INFO] [TRAIN] epoch=29, iter=18930/40000, loss=0.2444, lr=0.005616, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:08:10 2021-01-17 19:39:05 [INFO] [TRAIN] epoch=29, iter=18940/40000, loss=0.2495, lr=0.005614, batch_cost=0.5354, reader_cost=0.0001 | ETA 03:07:54 2021-01-17 19:39:10 [INFO] [TRAIN] epoch=29, iter=18950/40000, loss=0.2520, lr=0.005612, batch_cost=0.5409, reader_cost=0.0001 | ETA 03:09:44 2021-01-17 19:39:16 [INFO] [TRAIN] epoch=29, iter=18960/40000, loss=0.3137, lr=0.005609, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:08:59 2021-01-17 19:39:21 [INFO] [TRAIN] epoch=29, iter=18970/40000, loss=0.1910, lr=0.005607, batch_cost=0.5345, reader_cost=0.0001 | ETA 03:07:20 2021-01-17 19:39:26 [INFO] [TRAIN] epoch=29, iter=18980/40000, loss=0.3394, lr=0.005604, batch_cost=0.5448, reader_cost=0.0001 | ETA 03:10:52 2021-01-17 19:39:32 [INFO] [TRAIN] epoch=29, iter=18990/40000, loss=0.2982, lr=0.005602, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:09:26 2021-01-17 19:39:37 [INFO] [TRAIN] epoch=29, iter=19000/40000, loss=0.3842, lr=0.005600, batch_cost=0.5370, reader_cost=0.0001 | ETA 03:07:56 2021-01-17 19:39:37 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:39:58 [INFO] [EVAL] #Images=1449 mIoU=0.7773 Acc=0.9503 Kappa=0.8899 2021-01-17 19:39:58 [INFO] [EVAL] Class IoU: [0.9449 0.9061 0.4313 0.9064 0.7318 0.8309 0.9262 0.8851 0.9216 0.3643 0.8379 0.5704 0.877 0.8636 0.862 0.8639 0.6534 0.8463 0.5197 0.8663 0.7149] 2021-01-17 19:39:58 [INFO] [EVAL] Class Acc: [0.9668 0.9338 0.4586 0.956 0.7868 0.8863 0.9633 0.9601 0.9484 0.6321 0.8634 0.8782 0.9363 0.9639 0.9251 0.9304 0.886 0.9565 0.776 0.9306 0.9425] 2021-01-17 19:40:02 [INFO] [EVAL] The model with the best validation mIoU (0.7821) was saved at iter 16000. 2021-01-17 19:40:07 [INFO] [TRAIN] epoch=29, iter=19010/40000, loss=0.3280, lr=0.005597, batch_cost=0.5307, reader_cost=0.0001 | ETA 03:05:40 2021-01-17 19:40:12 [INFO] [TRAIN] epoch=29, iter=19020/40000, loss=0.3500, lr=0.005595, batch_cost=0.5385, reader_cost=0.0001 | ETA 03:08:18 2021-01-17 19:40:18 [INFO] [TRAIN] epoch=29, iter=19030/40000, loss=0.2504, lr=0.005592, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:07:26 2021-01-17 19:40:23 [INFO] [TRAIN] epoch=29, iter=19040/40000, loss=0.2307, lr=0.005590, batch_cost=0.5433, reader_cost=0.0001 | ETA 03:09:47 2021-01-17 19:40:28 [INFO] [TRAIN] epoch=29, iter=19050/40000, loss=0.3483, lr=0.005588, batch_cost=0.5384, reader_cost=0.0001 | ETA 03:07:58 2021-01-17 19:40:34 [INFO] [TRAIN] epoch=29, iter=19060/40000, loss=0.2996, lr=0.005585, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:07:12 2021-01-17 19:40:39 [INFO] [TRAIN] epoch=29, iter=19070/40000, loss=0.3056, lr=0.005583, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:07:06 2021-01-17 19:40:44 [INFO] [TRAIN] epoch=29, iter=19080/40000, loss=0.3309, lr=0.005580, batch_cost=0.5348, reader_cost=0.0001 | ETA 03:06:28 2021-01-17 19:40:50 [INFO] [TRAIN] epoch=29, iter=19090/40000, loss=0.2512, lr=0.005578, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:08:43 2021-01-17 19:40:55 [INFO] [TRAIN] epoch=29, iter=19100/40000, loss=0.2520, lr=0.005576, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:07:40 2021-01-17 19:41:01 [INFO] [TRAIN] epoch=29, iter=19110/40000, loss=0.2975, lr=0.005573, batch_cost=0.5475, reader_cost=0.0001 | ETA 03:10:37 2021-01-17 19:41:06 [INFO] [TRAIN] epoch=29, iter=19120/40000, loss=0.3181, lr=0.005571, batch_cost=0.5446, reader_cost=0.0001 | ETA 03:09:30 2021-01-17 19:41:12 [INFO] [TRAIN] epoch=29, iter=19130/40000, loss=0.3835, lr=0.005568, batch_cost=0.5368, reader_cost=0.0001 | ETA 03:06:43 2021-01-17 19:41:17 [INFO] [TRAIN] epoch=29, iter=19140/40000, loss=0.2980, lr=0.005566, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:07:26 2021-01-17 19:41:22 [INFO] [TRAIN] epoch=29, iter=19150/40000, loss=0.3579, lr=0.005564, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:08:04 2021-01-17 19:41:28 [INFO] [TRAIN] epoch=29, iter=19160/40000, loss=0.3781, lr=0.005561, batch_cost=0.5359, reader_cost=0.0001 | ETA 03:06:08 2021-01-17 19:41:33 [INFO] [TRAIN] epoch=30, iter=19170/40000, loss=0.2869, lr=0.005559, batch_cost=0.5283, reader_cost=0.0147 | ETA 03:03:24 2021-01-17 19:41:38 [INFO] [TRAIN] epoch=30, iter=19180/40000, loss=0.3350, lr=0.005556, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:07:56 2021-01-17 19:41:44 [INFO] [TRAIN] epoch=30, iter=19190/40000, loss=0.2787, lr=0.005554, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:07:51 2021-01-17 19:41:49 [INFO] [TRAIN] epoch=30, iter=19200/40000, loss=0.3137, lr=0.005552, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:06:43 2021-01-17 19:41:55 [INFO] [TRAIN] epoch=30, iter=19210/40000, loss=0.2114, lr=0.005549, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:06:16 2021-01-17 19:42:00 [INFO] [TRAIN] epoch=30, iter=19220/40000, loss=0.3101, lr=0.005547, batch_cost=0.5340, reader_cost=0.0001 | ETA 03:04:57 2021-01-17 19:42:05 [INFO] [TRAIN] epoch=30, iter=19230/40000, loss=0.2238, lr=0.005544, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:06:48 2021-01-17 19:42:11 [INFO] [TRAIN] epoch=30, iter=19240/40000, loss=0.2435, lr=0.005542, batch_cost=0.5444, reader_cost=0.0001 | ETA 03:08:22 2021-01-17 19:42:16 [INFO] [TRAIN] epoch=30, iter=19250/40000, loss=0.2569, lr=0.005540, batch_cost=0.5466, reader_cost=0.0001 | ETA 03:09:02 2021-01-17 19:42:22 [INFO] [TRAIN] epoch=30, iter=19260/40000, loss=0.3082, lr=0.005537, batch_cost=0.5369, reader_cost=0.0001 | ETA 03:05:34 2021-01-17 19:42:27 [INFO] [TRAIN] epoch=30, iter=19270/40000, loss=0.3202, lr=0.005535, batch_cost=0.5407, reader_cost=0.0001 | ETA 03:06:48 2021-01-17 19:42:32 [INFO] [TRAIN] epoch=30, iter=19280/40000, loss=0.2377, lr=0.005532, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:06:52 2021-01-17 19:42:38 [INFO] [TRAIN] epoch=30, iter=19290/40000, loss=0.2693, lr=0.005530, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:06:15 2021-01-17 19:42:43 [INFO] [TRAIN] epoch=30, iter=19300/40000, loss=0.3308, lr=0.005528, batch_cost=0.5421, reader_cost=0.0001 | ETA 03:07:02 2021-01-17 19:42:49 [INFO] [TRAIN] epoch=30, iter=19310/40000, loss=0.2294, lr=0.005525, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:05:54 2021-01-17 19:42:54 [INFO] [TRAIN] epoch=30, iter=19320/40000, loss=0.4206, lr=0.005523, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:05:40 2021-01-17 19:42:59 [INFO] [TRAIN] epoch=30, iter=19330/40000, loss=0.3084, lr=0.005520, batch_cost=0.5400, reader_cost=0.0001 | ETA 03:06:02 2021-01-17 19:43:05 [INFO] [TRAIN] epoch=30, iter=19340/40000, loss=0.3377, lr=0.005518, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:05:19 2021-01-17 19:43:10 [INFO] [TRAIN] epoch=30, iter=19350/40000, loss=0.2807, lr=0.005516, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:05:26 2021-01-17 19:43:16 [INFO] [TRAIN] epoch=30, iter=19360/40000, loss=0.3032, lr=0.005513, batch_cost=0.5450, reader_cost=0.0001 | ETA 03:07:27 2021-01-17 19:43:21 [INFO] [TRAIN] epoch=30, iter=19370/40000, loss=0.2690, lr=0.005511, batch_cost=0.5412, reader_cost=0.0001 | ETA 03:06:05 2021-01-17 19:43:27 [INFO] [TRAIN] epoch=30, iter=19380/40000, loss=0.3857, lr=0.005508, batch_cost=0.5444, reader_cost=0.0001 | ETA 03:07:05 2021-01-17 19:43:32 [INFO] [TRAIN] epoch=30, iter=19390/40000, loss=0.2613, lr=0.005506, batch_cost=0.5391, reader_cost=0.0001 | ETA 03:05:10 2021-01-17 19:43:37 [INFO] [TRAIN] epoch=30, iter=19400/40000, loss=0.2717, lr=0.005504, batch_cost=0.5374, reader_cost=0.0001 | ETA 03:04:29 2021-01-17 19:43:43 [INFO] [TRAIN] epoch=30, iter=19410/40000, loss=0.2799, lr=0.005501, batch_cost=0.5365, reader_cost=0.0001 | ETA 03:04:06 2021-01-17 19:43:48 [INFO] [TRAIN] epoch=30, iter=19420/40000, loss=0.2436, lr=0.005499, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:05:09 2021-01-17 19:43:53 [INFO] [TRAIN] epoch=30, iter=19430/40000, loss=0.2325, lr=0.005496, batch_cost=0.5340, reader_cost=0.0001 | ETA 03:03:03 2021-01-17 19:43:59 [INFO] [TRAIN] epoch=30, iter=19440/40000, loss=0.2655, lr=0.005494, batch_cost=0.5379, reader_cost=0.0001 | ETA 03:04:18 2021-01-17 19:44:04 [INFO] [TRAIN] epoch=30, iter=19450/40000, loss=0.2757, lr=0.005492, batch_cost=0.5456, reader_cost=0.0001 | ETA 03:06:51 2021-01-17 19:44:10 [INFO] [TRAIN] epoch=30, iter=19460/40000, loss=0.2598, lr=0.005489, batch_cost=0.5392, reader_cost=0.0001 | ETA 03:04:34 2021-01-17 19:44:15 [INFO] [TRAIN] epoch=30, iter=19470/40000, loss=0.2390, lr=0.005487, batch_cost=0.5389, reader_cost=0.0001 | ETA 03:04:23 2021-01-17 19:44:20 [INFO] [TRAIN] epoch=30, iter=19480/40000, loss=0.3324, lr=0.005484, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:04:03 2021-01-17 19:44:26 [INFO] [TRAIN] epoch=30, iter=19490/40000, loss=0.3542, lr=0.005482, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:04:40 2021-01-17 19:44:31 [INFO] [TRAIN] epoch=30, iter=19500/40000, loss=0.2559, lr=0.005480, batch_cost=0.5364, reader_cost=0.0001 | ETA 03:03:16 2021-01-17 19:44:37 [INFO] [TRAIN] epoch=30, iter=19510/40000, loss=0.2766, lr=0.005477, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:04:56 2021-01-17 19:44:42 [INFO] [TRAIN] epoch=30, iter=19520/40000, loss=0.3359, lr=0.005475, batch_cost=0.5352, reader_cost=0.0001 | ETA 03:02:40 2021-01-17 19:44:47 [INFO] [TRAIN] epoch=30, iter=19530/40000, loss=0.3153, lr=0.005472, batch_cost=0.5415, reader_cost=0.0001 | ETA 03:04:43 2021-01-17 19:44:53 [INFO] [TRAIN] epoch=30, iter=19540/40000, loss=0.2817, lr=0.005470, batch_cost=0.5353, reader_cost=0.0001 | ETA 03:02:32 2021-01-17 19:44:58 [INFO] [TRAIN] epoch=30, iter=19550/40000, loss=0.2664, lr=0.005468, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:02:47 2021-01-17 19:45:03 [INFO] [TRAIN] epoch=30, iter=19560/40000, loss=0.3208, lr=0.005465, batch_cost=0.5375, reader_cost=0.0001 | ETA 03:03:07 2021-01-17 19:45:09 [INFO] [TRAIN] epoch=30, iter=19570/40000, loss=0.2979, lr=0.005463, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:04:18 2021-01-17 19:45:14 [INFO] [TRAIN] epoch=30, iter=19580/40000, loss=0.2373, lr=0.005460, batch_cost=0.5368, reader_cost=0.0001 | ETA 03:02:41 2021-01-17 19:45:20 [INFO] [TRAIN] epoch=30, iter=19590/40000, loss=0.2360, lr=0.005458, batch_cost=0.5327, reader_cost=0.0001 | ETA 03:01:12 2021-01-17 19:45:25 [INFO] [TRAIN] epoch=30, iter=19600/40000, loss=0.2921, lr=0.005455, batch_cost=0.5418, reader_cost=0.0001 | ETA 03:04:12 2021-01-17 19:45:30 [INFO] [TRAIN] epoch=30, iter=19610/40000, loss=0.2929, lr=0.005453, batch_cost=0.5416, reader_cost=0.0001 | ETA 03:04:02 2021-01-17 19:45:36 [INFO] [TRAIN] epoch=30, iter=19620/40000, loss=0.3086, lr=0.005451, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:02:58 2021-01-17 19:45:41 [INFO] [TRAIN] epoch=30, iter=19630/40000, loss=0.2551, lr=0.005448, batch_cost=0.5404, reader_cost=0.0001 | ETA 03:03:27 2021-01-17 19:45:47 [INFO] [TRAIN] epoch=30, iter=19640/40000, loss=0.3070, lr=0.005446, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:02:45 2021-01-17 19:45:52 [INFO] [TRAIN] epoch=30, iter=19650/40000, loss=0.3901, lr=0.005443, batch_cost=0.5428, reader_cost=0.0001 | ETA 03:04:05 2021-01-17 19:45:57 [INFO] [TRAIN] epoch=30, iter=19660/40000, loss=0.2874, lr=0.005441, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:03:04 2021-01-17 19:46:03 [INFO] [TRAIN] epoch=30, iter=19670/40000, loss=0.1936, lr=0.005439, batch_cost=0.5382, reader_cost=0.0001 | ETA 03:02:21 2021-01-17 19:46:08 [INFO] [TRAIN] epoch=30, iter=19680/40000, loss=0.2843, lr=0.005436, batch_cost=0.5425, reader_cost=0.0001 | ETA 03:03:43 2021-01-17 19:46:14 [INFO] [TRAIN] epoch=30, iter=19690/40000, loss=0.3614, lr=0.005434, batch_cost=0.5398, reader_cost=0.0001 | ETA 03:02:43 2021-01-17 19:46:19 [INFO] [TRAIN] epoch=30, iter=19700/40000, loss=0.2325, lr=0.005431, batch_cost=0.5377, reader_cost=0.0001 | ETA 03:01:56 2021-01-17 19:46:24 [INFO] [TRAIN] epoch=30, iter=19710/40000, loss=0.2539, lr=0.005429, batch_cost=0.5446, reader_cost=0.0001 | ETA 03:04:09 2021-01-17 19:46:30 [INFO] [TRAIN] epoch=30, iter=19720/40000, loss=0.3997, lr=0.005427, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:02:24 2021-01-17 19:46:35 [INFO] [TRAIN] epoch=30, iter=19730/40000, loss=0.2131, lr=0.005424, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:01:58 2021-01-17 19:46:41 [INFO] [TRAIN] epoch=30, iter=19740/40000, loss=0.3011, lr=0.005422, batch_cost=0.5383, reader_cost=0.0001 | ETA 03:01:46 2021-01-17 19:46:46 [INFO] [TRAIN] epoch=30, iter=19750/40000, loss=0.2242, lr=0.005419, batch_cost=0.5355, reader_cost=0.0001 | ETA 03:00:44 2021-01-17 19:46:51 [INFO] [TRAIN] epoch=30, iter=19760/40000, loss=0.2991, lr=0.005417, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:02:12 2021-01-17 19:46:57 [INFO] [TRAIN] epoch=30, iter=19770/40000, loss=0.2774, lr=0.005415, batch_cost=0.5396, reader_cost=0.0001 | ETA 03:01:56 2021-01-17 19:47:02 [INFO] [TRAIN] epoch=30, iter=19780/40000, loss=0.2943, lr=0.005412, batch_cost=0.5363, reader_cost=0.0001 | ETA 03:00:44 2021-01-17 19:47:08 [INFO] [TRAIN] epoch=30, iter=19790/40000, loss=0.3369, lr=0.005410, batch_cost=0.5397, reader_cost=0.0001 | ETA 03:01:47 2021-01-17 19:47:13 [INFO] [TRAIN] epoch=30, iter=19800/40000, loss=0.3015, lr=0.005407, batch_cost=0.5358, reader_cost=0.0001 | ETA 03:00:22 2021-01-17 19:47:18 [INFO] [TRAIN] epoch=30, iter=19810/40000, loss=0.3156, lr=0.005405, batch_cost=0.5455, reader_cost=0.0001 | ETA 03:03:33 2021-01-17 19:47:24 [INFO] [TRAIN] epoch=30, iter=19820/40000, loss=0.2967, lr=0.005402, batch_cost=0.5367, reader_cost=0.0001 | ETA 03:00:29 2021-01-17 19:47:29 [INFO] [TRAIN] epoch=30, iter=19830/40000, loss=0.2822, lr=0.005400, batch_cost=0.5139, reader_cost=0.0001 | ETA 02:52:44 2021-01-17 19:47:34 [INFO] [TRAIN] epoch=31, iter=19840/40000, loss=0.2813, lr=0.005398, batch_cost=0.5615, reader_cost=0.0209 | ETA 03:08:39 2021-01-17 19:47:40 [INFO] [TRAIN] epoch=31, iter=19850/40000, loss=0.1749, lr=0.005395, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:01:09 2021-01-17 19:47:45 [INFO] [TRAIN] epoch=31, iter=19860/40000, loss=0.2436, lr=0.005393, batch_cost=0.5394, reader_cost=0.0001 | ETA 03:01:04 2021-01-17 19:47:51 [INFO] [TRAIN] epoch=31, iter=19870/40000, loss=0.3751, lr=0.005390, batch_cost=0.5423, reader_cost=0.0001 | ETA 03:01:55 2021-01-17 19:47:56 [INFO] [TRAIN] epoch=31, iter=19880/40000, loss=0.3646, lr=0.005388, batch_cost=0.5410, reader_cost=0.0001 | ETA 03:01:25 2021-01-17 19:48:01 [INFO] [TRAIN] epoch=31, iter=19890/40000, loss=0.2468, lr=0.005386, batch_cost=0.5387, reader_cost=0.0001 | ETA 03:00:33 2021-01-17 19:48:07 [INFO] [TRAIN] epoch=31, iter=19900/40000, loss=0.2780, lr=0.005383, batch_cost=0.5376, reader_cost=0.0001 | ETA 03:00:06 2021-01-17 19:48:12 [INFO] [TRAIN] epoch=31, iter=19910/40000, loss=0.2599, lr=0.005381, batch_cost=0.5424, reader_cost=0.0001 | ETA 03:01:36 2021-01-17 19:48:18 [INFO] [TRAIN] epoch=31, iter=19920/40000, loss=0.1801, lr=0.005378, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:59:34 2021-01-17 19:48:23 [INFO] [TRAIN] epoch=31, iter=19930/40000, loss=0.3094, lr=0.005376, batch_cost=0.5386, reader_cost=0.0001 | ETA 03:00:09 2021-01-17 19:48:28 [INFO] [TRAIN] epoch=31, iter=19940/40000, loss=0.3458, lr=0.005374, batch_cost=0.5388, reader_cost=0.0001 | ETA 03:00:08 2021-01-17 19:48:34 [INFO] [TRAIN] epoch=31, iter=19950/40000, loss=0.2688, lr=0.005371, batch_cost=0.5408, reader_cost=0.0001 | ETA 03:00:43 2021-01-17 19:48:39 [INFO] [TRAIN] epoch=31, iter=19960/40000, loss=0.2924, lr=0.005369, batch_cost=0.5446, reader_cost=0.0001 | ETA 03:01:54 2021-01-17 19:48:45 [INFO] [TRAIN] epoch=31, iter=19970/40000, loss=0.2917, lr=0.005366, batch_cost=0.5403, reader_cost=0.0001 | ETA 03:00:22 2021-01-17 19:48:50 [INFO] [TRAIN] epoch=31, iter=19980/40000, loss=0.3442, lr=0.005364, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:59:34 2021-01-17 19:48:55 [INFO] [TRAIN] epoch=31, iter=19990/40000, loss=0.3503, lr=0.005362, batch_cost=0.5429, reader_cost=0.0001 | ETA 03:01:02 2021-01-17 19:49:01 [INFO] [TRAIN] epoch=31, iter=20000/40000, loss=0.3752, lr=0.005359, batch_cost=0.5401, reader_cost=0.0001 | ETA 03:00:01 2021-01-17 19:49:01 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:49:21 [INFO] [EVAL] #Images=1449 mIoU=0.7711 Acc=0.9440 Kappa=0.8782 2021-01-17 19:49:21 [INFO] [EVAL] Class IoU: [0.9357 0.9047 0.4257 0.8862 0.6582 0.8179 0.9418 0.8848 0.9239 0.4073 0.8631 0.5091 0.8955 0.8689 0.8647 0.8607 0.7182 0.8464 0.5012 0.8292 0.6507] 2021-01-17 19:49:21 [INFO] [EVAL] Class Acc: [0.9696 0.9373 0.4363 0.9589 0.7432 0.8805 0.9811 0.9561 0.9494 0.5339 0.9237 0.6025 0.9326 0.9138 0.9304 0.9349 0.8194 0.9548 0.8043 0.9342 0.7638] 2021-01-17 19:49:25 [INFO] [EVAL] The model with the best validation mIoU (0.7821) was saved at iter 16000. 2021-01-17 19:49:31 [INFO] [TRAIN] epoch=31, iter=20010/40000, loss=0.3094, lr=0.005357, batch_cost=0.5360, reader_cost=0.0001 | ETA 02:58:34 2021-01-17 19:49:36 [INFO] [TRAIN] epoch=31, iter=20020/40000, loss=0.2760, lr=0.005354, batch_cost=0.5413, reader_cost=0.0001 | ETA 03:00:15 2021-01-17 19:49:42 [INFO] [TRAIN] epoch=31, iter=20030/40000, loss=0.2820, lr=0.005352, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:59:40 2021-01-17 19:49:47 [INFO] [TRAIN] epoch=31, iter=20040/40000, loss=0.2662, lr=0.005349, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:58:12 2021-01-17 19:49:52 [INFO] [TRAIN] epoch=31, iter=20050/40000, loss=0.2714, lr=0.005347, batch_cost=0.5334, reader_cost=0.0001 | ETA 02:57:20 2021-01-17 19:49:58 [INFO] [TRAIN] epoch=31, iter=20060/40000, loss=0.1992, lr=0.005345, batch_cost=0.5338, reader_cost=0.0001 | ETA 02:57:23 2021-01-17 19:50:03 [INFO] [TRAIN] epoch=31, iter=20070/40000, loss=0.2847, lr=0.005342, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:58:56 2021-01-17 19:50:08 [INFO] [TRAIN] epoch=31, iter=20080/40000, loss=0.2875, lr=0.005340, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:58:13 2021-01-17 19:50:14 [INFO] [TRAIN] epoch=31, iter=20090/40000, loss=0.2683, lr=0.005337, batch_cost=0.5320, reader_cost=0.0001 | ETA 02:56:32 2021-01-17 19:50:19 [INFO] [TRAIN] epoch=31, iter=20100/40000, loss=0.2537, lr=0.005335, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:59:41 2021-01-17 19:50:24 [INFO] [TRAIN] epoch=31, iter=20110/40000, loss=0.2617, lr=0.005333, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:59:18 2021-01-17 19:50:30 [INFO] [TRAIN] epoch=31, iter=20120/40000, loss=0.3270, lr=0.005330, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:59:31 2021-01-17 19:50:35 [INFO] [TRAIN] epoch=31, iter=20130/40000, loss=0.2648, lr=0.005328, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:57:28 2021-01-17 19:50:41 [INFO] [TRAIN] epoch=31, iter=20140/40000, loss=0.3102, lr=0.005325, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:58:03 2021-01-17 19:50:46 [INFO] [TRAIN] epoch=31, iter=20150/40000, loss=0.2684, lr=0.005323, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:58:55 2021-01-17 19:50:51 [INFO] [TRAIN] epoch=31, iter=20160/40000, loss=0.2563, lr=0.005321, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:57:04 2021-01-17 19:50:57 [INFO] [TRAIN] epoch=31, iter=20170/40000, loss=0.2593, lr=0.005318, batch_cost=0.5277, reader_cost=0.0001 | ETA 02:54:23 2021-01-17 19:51:02 [INFO] [TRAIN] epoch=31, iter=20180/40000, loss=0.3811, lr=0.005316, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:57:45 2021-01-17 19:51:07 [INFO] [TRAIN] epoch=31, iter=20190/40000, loss=0.2968, lr=0.005313, batch_cost=0.5327, reader_cost=0.0001 | ETA 02:55:52 2021-01-17 19:51:13 [INFO] [TRAIN] epoch=31, iter=20200/40000, loss=0.1972, lr=0.005311, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:57:45 2021-01-17 19:51:18 [INFO] [TRAIN] epoch=31, iter=20210/40000, loss=0.3509, lr=0.005308, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:58:12 2021-01-17 19:51:24 [INFO] [TRAIN] epoch=31, iter=20220/40000, loss=0.3194, lr=0.005306, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:57:24 2021-01-17 19:51:29 [INFO] [TRAIN] epoch=31, iter=20230/40000, loss=0.3250, lr=0.005304, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:58:16 2021-01-17 19:51:34 [INFO] [TRAIN] epoch=31, iter=20240/40000, loss=0.2389, lr=0.005301, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:57:58 2021-01-17 19:51:40 [INFO] [TRAIN] epoch=31, iter=20250/40000, loss=0.3391, lr=0.005299, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:58:09 2021-01-17 19:51:45 [INFO] [TRAIN] epoch=31, iter=20260/40000, loss=0.3102, lr=0.005296, batch_cost=0.5339, reader_cost=0.0001 | ETA 02:55:38 2021-01-17 19:51:51 [INFO] [TRAIN] epoch=31, iter=20270/40000, loss=0.3312, lr=0.005294, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:57:03 2021-01-17 19:51:56 [INFO] [TRAIN] epoch=31, iter=20280/40000, loss=0.3128, lr=0.005292, batch_cost=0.5394, reader_cost=0.0001 | ETA 02:57:16 2021-01-17 19:52:01 [INFO] [TRAIN] epoch=31, iter=20290/40000, loss=0.3100, lr=0.005289, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:58:21 2021-01-17 19:52:07 [INFO] [TRAIN] epoch=31, iter=20300/40000, loss=0.2752, lr=0.005287, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:56:12 2021-01-17 19:52:12 [INFO] [TRAIN] epoch=31, iter=20310/40000, loss=0.2637, lr=0.005284, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:57:13 2021-01-17 19:52:17 [INFO] [TRAIN] epoch=31, iter=20320/40000, loss=0.2827, lr=0.005282, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:57:02 2021-01-17 19:52:23 [INFO] [TRAIN] epoch=31, iter=20330/40000, loss=0.3033, lr=0.005279, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:57:25 2021-01-17 19:52:28 [INFO] [TRAIN] epoch=31, iter=20340/40000, loss=0.3170, lr=0.005277, batch_cost=0.5380, reader_cost=0.0001 | ETA 02:56:16 2021-01-17 19:52:34 [INFO] [TRAIN] epoch=31, iter=20350/40000, loss=0.3142, lr=0.005275, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:56:46 2021-01-17 19:52:39 [INFO] [TRAIN] epoch=31, iter=20360/40000, loss=0.4989, lr=0.005272, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:56:31 2021-01-17 19:52:44 [INFO] [TRAIN] epoch=31, iter=20370/40000, loss=0.2731, lr=0.005270, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:56:38 2021-01-17 19:52:50 [INFO] [TRAIN] epoch=31, iter=20380/40000, loss=0.3305, lr=0.005267, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:56:10 2021-01-17 19:52:55 [INFO] [TRAIN] epoch=31, iter=20390/40000, loss=0.2965, lr=0.005265, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:55:09 2021-01-17 19:53:01 [INFO] [TRAIN] epoch=31, iter=20400/40000, loss=0.3542, lr=0.005263, batch_cost=0.5360, reader_cost=0.0001 | ETA 02:55:04 2021-01-17 19:53:06 [INFO] [TRAIN] epoch=31, iter=20410/40000, loss=0.3619, lr=0.005260, batch_cost=0.5414, reader_cost=0.0001 | ETA 02:56:45 2021-01-17 19:53:11 [INFO] [TRAIN] epoch=31, iter=20420/40000, loss=0.2514, lr=0.005258, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:56:04 2021-01-17 19:53:17 [INFO] [TRAIN] epoch=31, iter=20430/40000, loss=0.1934, lr=0.005255, batch_cost=0.5455, reader_cost=0.0001 | ETA 02:57:55 2021-01-17 19:53:22 [INFO] [TRAIN] epoch=31, iter=20440/40000, loss=0.2828, lr=0.005253, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:56:43 2021-01-17 19:53:28 [INFO] [TRAIN] epoch=31, iter=20450/40000, loss=0.3835, lr=0.005250, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:55:21 2021-01-17 19:53:33 [INFO] [TRAIN] epoch=31, iter=20460/40000, loss=0.3343, lr=0.005248, batch_cost=0.5346, reader_cost=0.0001 | ETA 02:54:06 2021-01-17 19:53:38 [INFO] [TRAIN] epoch=31, iter=20470/40000, loss=0.2822, lr=0.005246, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:54:25 2021-01-17 19:53:44 [INFO] [TRAIN] epoch=31, iter=20480/40000, loss=0.3395, lr=0.005243, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:55:41 2021-01-17 19:53:49 [INFO] [TRAIN] epoch=31, iter=20490/40000, loss=0.2374, lr=0.005241, batch_cost=0.5166, reader_cost=0.0001 | ETA 02:47:59 2021-01-17 19:53:54 [INFO] [TRAIN] epoch=32, iter=20500/40000, loss=0.2321, lr=0.005238, batch_cost=0.5541, reader_cost=0.0125 | ETA 03:00:05 2021-01-17 19:54:00 [INFO] [TRAIN] epoch=32, iter=20510/40000, loss=0.2729, lr=0.005236, batch_cost=0.5370, reader_cost=0.0001 | ETA 02:54:26 2021-01-17 19:54:05 [INFO] [TRAIN] epoch=32, iter=20520/40000, loss=0.2505, lr=0.005234, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:54:14 2021-01-17 19:54:11 [INFO] [TRAIN] epoch=32, iter=20530/40000, loss=0.1859, lr=0.005231, batch_cost=0.5338, reader_cost=0.0001 | ETA 02:53:12 2021-01-17 19:54:16 [INFO] [TRAIN] epoch=32, iter=20540/40000, loss=0.2533, lr=0.005229, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:54:37 2021-01-17 19:54:21 [INFO] [TRAIN] epoch=32, iter=20550/40000, loss=0.2559, lr=0.005226, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:54:28 2021-01-17 19:54:27 [INFO] [TRAIN] epoch=32, iter=20560/40000, loss=0.2368, lr=0.005224, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:53:34 2021-01-17 19:54:32 [INFO] [TRAIN] epoch=32, iter=20570/40000, loss=0.2390, lr=0.005221, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:54:14 2021-01-17 19:54:37 [INFO] [TRAIN] epoch=32, iter=20580/40000, loss=0.2988, lr=0.005219, batch_cost=0.5349, reader_cost=0.0001 | ETA 02:53:07 2021-01-17 19:54:43 [INFO] [TRAIN] epoch=32, iter=20590/40000, loss=0.2693, lr=0.005217, batch_cost=0.5385, reader_cost=0.0001 | ETA 02:54:11 2021-01-17 19:54:48 [INFO] [TRAIN] epoch=32, iter=20600/40000, loss=0.2124, lr=0.005214, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:53:49 2021-01-17 19:54:54 [INFO] [TRAIN] epoch=32, iter=20610/40000, loss=0.2992, lr=0.005212, batch_cost=0.5414, reader_cost=0.0001 | ETA 02:54:57 2021-01-17 19:54:59 [INFO] [TRAIN] epoch=32, iter=20620/40000, loss=0.2010, lr=0.005209, batch_cost=0.5380, reader_cost=0.0001 | ETA 02:53:45 2021-01-17 19:55:04 [INFO] [TRAIN] epoch=32, iter=20630/40000, loss=0.2622, lr=0.005207, batch_cost=0.5342, reader_cost=0.0001 | ETA 02:52:27 2021-01-17 19:55:10 [INFO] [TRAIN] epoch=32, iter=20640/40000, loss=0.2951, lr=0.005205, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:53:06 2021-01-17 19:55:15 [INFO] [TRAIN] epoch=32, iter=20650/40000, loss=0.2545, lr=0.005202, batch_cost=0.5352, reader_cost=0.0001 | ETA 02:52:35 2021-01-17 19:55:20 [INFO] [TRAIN] epoch=32, iter=20660/40000, loss=0.2544, lr=0.005200, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:54:34 2021-01-17 19:55:26 [INFO] [TRAIN] epoch=32, iter=20670/40000, loss=0.2578, lr=0.005197, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:53:33 2021-01-17 19:55:31 [INFO] [TRAIN] epoch=32, iter=20680/40000, loss=0.2616, lr=0.005195, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:54:17 2021-01-17 19:55:37 [INFO] [TRAIN] epoch=32, iter=20690/40000, loss=0.2663, lr=0.005192, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:53:21 2021-01-17 19:55:42 [INFO] [TRAIN] epoch=32, iter=20700/40000, loss=0.2431, lr=0.005190, batch_cost=0.5343, reader_cost=0.0001 | ETA 02:51:52 2021-01-17 19:55:47 [INFO] [TRAIN] epoch=32, iter=20710/40000, loss=0.3404, lr=0.005188, batch_cost=0.5427, reader_cost=0.0001 | ETA 02:54:29 2021-01-17 19:55:53 [INFO] [TRAIN] epoch=32, iter=20720/40000, loss=0.2542, lr=0.005185, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:53:29 2021-01-17 19:55:58 [INFO] [TRAIN] epoch=32, iter=20730/40000, loss=0.2440, lr=0.005183, batch_cost=0.5336, reader_cost=0.0001 | ETA 02:51:23 2021-01-17 19:56:04 [INFO] [TRAIN] epoch=32, iter=20740/40000, loss=0.2868, lr=0.005180, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:53:30 2021-01-17 19:56:09 [INFO] [TRAIN] epoch=32, iter=20750/40000, loss=0.2219, lr=0.005178, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:52:02 2021-01-17 19:56:14 [INFO] [TRAIN] epoch=32, iter=20760/40000, loss=0.2728, lr=0.005175, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:51:35 2021-01-17 19:56:20 [INFO] [TRAIN] epoch=32, iter=20770/40000, loss=0.2766, lr=0.005173, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:52:58 2021-01-17 19:56:25 [INFO] [TRAIN] epoch=32, iter=20780/40000, loss=0.2664, lr=0.005171, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:51:52 2021-01-17 19:56:30 [INFO] [TRAIN] epoch=32, iter=20790/40000, loss=0.3104, lr=0.005168, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:51:40 2021-01-17 19:56:36 [INFO] [TRAIN] epoch=32, iter=20800/40000, loss=0.2852, lr=0.005166, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:54:03 2021-01-17 19:56:41 [INFO] [TRAIN] epoch=32, iter=20810/40000, loss=0.2035, lr=0.005163, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:52:02 2021-01-17 19:56:47 [INFO] [TRAIN] epoch=32, iter=20820/40000, loss=0.2468, lr=0.005161, batch_cost=0.5337, reader_cost=0.0001 | ETA 02:50:35 2021-01-17 19:56:52 [INFO] [TRAIN] epoch=32, iter=20830/40000, loss=0.3166, lr=0.005159, batch_cost=0.5426, reader_cost=0.0001 | ETA 02:53:21 2021-01-17 19:56:57 [INFO] [TRAIN] epoch=32, iter=20840/40000, loss=0.2308, lr=0.005156, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:52:19 2021-01-17 19:57:03 [INFO] [TRAIN] epoch=32, iter=20850/40000, loss=0.2758, lr=0.005154, batch_cost=0.5385, reader_cost=0.0001 | ETA 02:51:53 2021-01-17 19:57:08 [INFO] [TRAIN] epoch=32, iter=20860/40000, loss=0.2445, lr=0.005151, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:51:09 2021-01-17 19:57:14 [INFO] [TRAIN] epoch=32, iter=20870/40000, loss=0.2245, lr=0.005149, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:51:47 2021-01-17 19:57:19 [INFO] [TRAIN] epoch=32, iter=20880/40000, loss=0.2549, lr=0.005146, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:51:43 2021-01-17 19:57:24 [INFO] [TRAIN] epoch=32, iter=20890/40000, loss=0.2771, lr=0.005144, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:53:25 2021-01-17 19:57:30 [INFO] [TRAIN] epoch=32, iter=20900/40000, loss=0.2481, lr=0.005142, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:50:49 2021-01-17 19:57:35 [INFO] [TRAIN] epoch=32, iter=20910/40000, loss=0.2422, lr=0.005139, batch_cost=0.5341, reader_cost=0.0001 | ETA 02:49:55 2021-01-17 19:57:40 [INFO] [TRAIN] epoch=32, iter=20920/40000, loss=0.3250, lr=0.005137, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:50:41 2021-01-17 19:57:46 [INFO] [TRAIN] epoch=32, iter=20930/40000, loss=0.3210, lr=0.005134, batch_cost=0.5490, reader_cost=0.0001 | ETA 02:54:29 2021-01-17 19:57:51 [INFO] [TRAIN] epoch=32, iter=20940/40000, loss=0.3100, lr=0.005132, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:51:17 2021-01-17 19:57:57 [INFO] [TRAIN] epoch=32, iter=20950/40000, loss=0.3400, lr=0.005129, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:51:01 2021-01-17 19:58:02 [INFO] [TRAIN] epoch=32, iter=20960/40000, loss=0.2443, lr=0.005127, batch_cost=0.5349, reader_cost=0.0001 | ETA 02:49:44 2021-01-17 19:58:07 [INFO] [TRAIN] epoch=32, iter=20970/40000, loss=0.2901, lr=0.005125, batch_cost=0.5373, reader_cost=0.0001 | ETA 02:50:24 2021-01-17 19:58:13 [INFO] [TRAIN] epoch=32, iter=20980/40000, loss=0.2956, lr=0.005122, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:51:50 2021-01-17 19:58:18 [INFO] [TRAIN] epoch=32, iter=20990/40000, loss=0.3423, lr=0.005120, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:50:24 2021-01-17 19:58:24 [INFO] [TRAIN] epoch=32, iter=21000/40000, loss=0.2777, lr=0.005117, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:50:41 2021-01-17 19:58:24 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 19:58:44 [INFO] [EVAL] #Images=1449 mIoU=0.7814 Acc=0.9504 Kappa=0.8904 2021-01-17 19:58:44 [INFO] [EVAL] Class IoU: [0.9437 0.897 0.4326 0.8675 0.7156 0.8305 0.9515 0.8821 0.9245 0.4617 0.8968 0.5509 0.8592 0.8921 0.8685 0.862 0.6185 0.831 0.5089 0.9039 0.7107] 2021-01-17 19:58:44 [INFO] [EVAL] Class Acc: [0.9673 0.9233 0.4517 0.9434 0.7973 0.8902 0.9807 0.9579 0.9627 0.6175 0.9388 0.8741 0.8948 0.946 0.9148 0.9431 0.8342 0.9018 0.8308 0.9634 0.8384] 2021-01-17 19:58:48 [INFO] [EVAL] The model with the best validation mIoU (0.7821) was saved at iter 16000. 2021-01-17 19:58:53 [INFO] [TRAIN] epoch=32, iter=21010/40000, loss=0.2585, lr=0.005115, batch_cost=0.5334, reader_cost=0.0001 | ETA 02:48:49 2021-01-17 19:58:59 [INFO] [TRAIN] epoch=32, iter=21020/40000, loss=0.3038, lr=0.005112, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:51:19 2021-01-17 19:59:04 [INFO] [TRAIN] epoch=32, iter=21030/40000, loss=0.3902, lr=0.005110, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:50:50 2021-01-17 19:59:09 [INFO] [TRAIN] epoch=32, iter=21040/40000, loss=0.3075, lr=0.005108, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:49:32 2021-01-17 19:59:15 [INFO] [TRAIN] epoch=32, iter=21050/40000, loss=0.2517, lr=0.005105, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:50:35 2021-01-17 19:59:20 [INFO] [TRAIN] epoch=32, iter=21060/40000, loss=0.3675, lr=0.005103, batch_cost=0.5415, reader_cost=0.0001 | ETA 02:50:55 2021-01-17 19:59:26 [INFO] [TRAIN] epoch=32, iter=21070/40000, loss=0.3415, lr=0.005100, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:50:53 2021-01-17 19:59:31 [INFO] [TRAIN] epoch=32, iter=21080/40000, loss=0.3179, lr=0.005098, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:49:10 2021-01-17 19:59:36 [INFO] [TRAIN] epoch=32, iter=21090/40000, loss=0.3207, lr=0.005096, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:50:10 2021-01-17 19:59:42 [INFO] [TRAIN] epoch=32, iter=21100/40000, loss=0.2890, lr=0.005093, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:51:11 2021-01-17 19:59:47 [INFO] [TRAIN] epoch=32, iter=21110/40000, loss=0.2712, lr=0.005091, batch_cost=0.5436, reader_cost=0.0001 | ETA 02:51:08 2021-01-17 19:59:53 [INFO] [TRAIN] epoch=32, iter=21120/40000, loss=0.2568, lr=0.005088, batch_cost=0.5374, reader_cost=0.0001 | ETA 02:49:06 2021-01-17 19:59:58 [INFO] [TRAIN] epoch=32, iter=21130/40000, loss=0.2720, lr=0.005086, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:50:20 2021-01-17 20:00:03 [INFO] [TRAIN] epoch=32, iter=21140/40000, loss=0.2838, lr=0.005083, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:49:12 2021-01-17 20:00:09 [INFO] [TRAIN] epoch=32, iter=21150/40000, loss=0.2952, lr=0.005081, batch_cost=0.5278, reader_cost=0.0001 | ETA 02:45:48 2021-01-17 20:00:14 [INFO] [TRAIN] epoch=33, iter=21160/40000, loss=0.2772, lr=0.005079, batch_cost=0.5497, reader_cost=0.0156 | ETA 02:52:35 2021-01-17 20:00:20 [INFO] [TRAIN] epoch=33, iter=21170/40000, loss=0.2753, lr=0.005076, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:49:04 2021-01-17 20:00:25 [INFO] [TRAIN] epoch=33, iter=21180/40000, loss=0.2125, lr=0.005074, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:49:16 2021-01-17 20:00:30 [INFO] [TRAIN] epoch=33, iter=21190/40000, loss=0.2984, lr=0.005071, batch_cost=0.5356, reader_cost=0.0001 | ETA 02:47:55 2021-01-17 20:00:36 [INFO] [TRAIN] epoch=33, iter=21200/40000, loss=0.2433, lr=0.005069, batch_cost=0.5401, reader_cost=0.0001 | ETA 02:49:13 2021-01-17 20:00:41 [INFO] [TRAIN] epoch=33, iter=21210/40000, loss=0.2621, lr=0.005066, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:48:43 2021-01-17 20:00:47 [INFO] [TRAIN] epoch=33, iter=21220/40000, loss=0.2740, lr=0.005064, batch_cost=0.5474, reader_cost=0.0001 | ETA 02:51:20 2021-01-17 20:00:52 [INFO] [TRAIN] epoch=33, iter=21230/40000, loss=0.2780, lr=0.005062, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:48:11 2021-01-17 20:00:57 [INFO] [TRAIN] epoch=33, iter=21240/40000, loss=0.2479, lr=0.005059, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:47:58 2021-01-17 20:01:03 [INFO] [TRAIN] epoch=33, iter=21250/40000, loss=0.2334, lr=0.005057, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:48:06 2021-01-17 20:01:08 [INFO] [TRAIN] epoch=33, iter=21260/40000, loss=0.2562, lr=0.005054, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:48:57 2021-01-17 20:01:13 [INFO] [TRAIN] epoch=33, iter=21270/40000, loss=0.1941, lr=0.005052, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:48:07 2021-01-17 20:01:19 [INFO] [TRAIN] epoch=33, iter=21280/40000, loss=0.2818, lr=0.005049, batch_cost=0.5356, reader_cost=0.0001 | ETA 02:47:07 2021-01-17 20:01:24 [INFO] [TRAIN] epoch=33, iter=21290/40000, loss=0.2970, lr=0.005047, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:47:15 2021-01-17 20:01:30 [INFO] [TRAIN] epoch=33, iter=21300/40000, loss=0.2707, lr=0.005045, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:47:06 2021-01-17 20:01:35 [INFO] [TRAIN] epoch=33, iter=21310/40000, loss=0.2805, lr=0.005042, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:47:20 2021-01-17 20:01:40 [INFO] [TRAIN] epoch=33, iter=21320/40000, loss=0.2585, lr=0.005040, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:48:04 2021-01-17 20:01:46 [INFO] [TRAIN] epoch=33, iter=21330/40000, loss=0.3022, lr=0.005037, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:48:18 2021-01-17 20:01:51 [INFO] [TRAIN] epoch=33, iter=21340/40000, loss=0.2063, lr=0.005035, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:48:16 2021-01-17 20:01:57 [INFO] [TRAIN] epoch=33, iter=21350/40000, loss=0.2074, lr=0.005032, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:47:26 2021-01-17 20:02:02 [INFO] [TRAIN] epoch=33, iter=21360/40000, loss=0.2779, lr=0.005030, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:47:29 2021-01-17 20:02:07 [INFO] [TRAIN] epoch=33, iter=21370/40000, loss=0.2572, lr=0.005028, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:48:53 2021-01-17 20:02:13 [INFO] [TRAIN] epoch=33, iter=21380/40000, loss=0.2654, lr=0.005025, batch_cost=0.5446, reader_cost=0.0001 | ETA 02:48:59 2021-01-17 20:02:18 [INFO] [TRAIN] epoch=33, iter=21390/40000, loss=0.2102, lr=0.005023, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:47:20 2021-01-17 20:02:24 [INFO] [TRAIN] epoch=33, iter=21400/40000, loss=0.2598, lr=0.005020, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:47:01 2021-01-17 20:02:29 [INFO] [TRAIN] epoch=33, iter=21410/40000, loss=0.2234, lr=0.005018, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:46:27 2021-01-17 20:02:34 [INFO] [TRAIN] epoch=33, iter=21420/40000, loss=0.2666, lr=0.005015, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:48:18 2021-01-17 20:02:40 [INFO] [TRAIN] epoch=33, iter=21430/40000, loss=0.2833, lr=0.005013, batch_cost=0.5329, reader_cost=0.0001 | ETA 02:44:55 2021-01-17 20:02:45 [INFO] [TRAIN] epoch=33, iter=21440/40000, loss=0.2156, lr=0.005011, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:46:01 2021-01-17 20:02:50 [INFO] [TRAIN] epoch=33, iter=21450/40000, loss=0.2369, lr=0.005008, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:46:04 2021-01-17 20:02:56 [INFO] [TRAIN] epoch=33, iter=21460/40000, loss=0.3055, lr=0.005006, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:46:31 2021-01-17 20:03:01 [INFO] [TRAIN] epoch=33, iter=21470/40000, loss=0.3308, lr=0.005003, batch_cost=0.5431, reader_cost=0.0001 | ETA 02:47:43 2021-01-17 20:03:07 [INFO] [TRAIN] epoch=33, iter=21480/40000, loss=0.2563, lr=0.005001, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:46:48 2021-01-17 20:03:12 [INFO] [TRAIN] epoch=33, iter=21490/40000, loss=0.2174, lr=0.004998, batch_cost=0.5415, reader_cost=0.0001 | ETA 02:47:03 2021-01-17 20:03:17 [INFO] [TRAIN] epoch=33, iter=21500/40000, loss=0.3177, lr=0.004996, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:45:21 2021-01-17 20:03:23 [INFO] [TRAIN] epoch=33, iter=21510/40000, loss=0.2110, lr=0.004994, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:46:09 2021-01-17 20:03:28 [INFO] [TRAIN] epoch=33, iter=21520/40000, loss=0.2464, lr=0.004991, batch_cost=0.5394, reader_cost=0.0001 | ETA 02:46:07 2021-01-17 20:03:34 [INFO] [TRAIN] epoch=33, iter=21530/40000, loss=0.3916, lr=0.004989, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:46:59 2021-01-17 20:03:39 [INFO] [TRAIN] epoch=33, iter=21540/40000, loss=0.2683, lr=0.004986, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:46:51 2021-01-17 20:03:45 [INFO] [TRAIN] epoch=33, iter=21550/40000, loss=0.3543, lr=0.004984, batch_cost=0.5447, reader_cost=0.0001 | ETA 02:47:30 2021-01-17 20:03:50 [INFO] [TRAIN] epoch=33, iter=21560/40000, loss=0.3171, lr=0.004981, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:44:41 2021-01-17 20:03:55 [INFO] [TRAIN] epoch=33, iter=21570/40000, loss=0.2580, lr=0.004979, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:45:18 2021-01-17 20:04:01 [INFO] [TRAIN] epoch=33, iter=21580/40000, loss=0.3227, lr=0.004977, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:45:54 2021-01-17 20:04:06 [INFO] [TRAIN] epoch=33, iter=21590/40000, loss=0.2652, lr=0.004974, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:45:47 2021-01-17 20:04:11 [INFO] [TRAIN] epoch=33, iter=21600/40000, loss=0.2865, lr=0.004972, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:44:44 2021-01-17 20:04:17 [INFO] [TRAIN] epoch=33, iter=21610/40000, loss=0.2560, lr=0.004969, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:45:18 2021-01-17 20:04:22 [INFO] [TRAIN] epoch=33, iter=21620/40000, loss=0.2210, lr=0.004967, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:45:08 2021-01-17 20:04:28 [INFO] [TRAIN] epoch=33, iter=21630/40000, loss=0.2888, lr=0.004964, batch_cost=0.5354, reader_cost=0.0001 | ETA 02:43:55 2021-01-17 20:04:33 [INFO] [TRAIN] epoch=33, iter=21640/40000, loss=0.2395, lr=0.004962, batch_cost=0.5455, reader_cost=0.0001 | ETA 02:46:54 2021-01-17 20:04:38 [INFO] [TRAIN] epoch=33, iter=21650/40000, loss=0.1826, lr=0.004960, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:45:17 2021-01-17 20:04:44 [INFO] [TRAIN] epoch=33, iter=21660/40000, loss=0.1509, lr=0.004957, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:45:18 2021-01-17 20:04:49 [INFO] [TRAIN] epoch=33, iter=21670/40000, loss=0.2188, lr=0.004955, batch_cost=0.5469, reader_cost=0.0001 | ETA 02:47:03 2021-01-17 20:04:55 [INFO] [TRAIN] epoch=33, iter=21680/40000, loss=0.2646, lr=0.004952, batch_cost=0.5419, reader_cost=0.0001 | ETA 02:45:28 2021-01-17 20:05:00 [INFO] [TRAIN] epoch=33, iter=21690/40000, loss=0.3193, lr=0.004950, batch_cost=0.5436, reader_cost=0.0001 | ETA 02:45:53 2021-01-17 20:05:06 [INFO] [TRAIN] epoch=33, iter=21700/40000, loss=0.2618, lr=0.004947, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:45:01 2021-01-17 20:05:11 [INFO] [TRAIN] epoch=33, iter=21710/40000, loss=0.1451, lr=0.004945, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:44:14 2021-01-17 20:05:16 [INFO] [TRAIN] epoch=33, iter=21720/40000, loss=0.2518, lr=0.004942, batch_cost=0.5373, reader_cost=0.0001 | ETA 02:43:41 2021-01-17 20:05:22 [INFO] [TRAIN] epoch=33, iter=21730/40000, loss=0.2421, lr=0.004940, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:44:35 2021-01-17 20:05:27 [INFO] [TRAIN] epoch=33, iter=21740/40000, loss=0.2788, lr=0.004938, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:44:40 2021-01-17 20:05:33 [INFO] [TRAIN] epoch=33, iter=21750/40000, loss=0.3312, lr=0.004935, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:43:45 2021-01-17 20:05:38 [INFO] [TRAIN] epoch=33, iter=21760/40000, loss=0.3566, lr=0.004933, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:43:40 2021-01-17 20:05:43 [INFO] [TRAIN] epoch=33, iter=21770/40000, loss=0.2594, lr=0.004930, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:42:45 2021-01-17 20:05:49 [INFO] [TRAIN] epoch=33, iter=21780/40000, loss=0.4175, lr=0.004928, batch_cost=0.5377, reader_cost=0.0001 | ETA 02:43:16 2021-01-17 20:05:54 [INFO] [TRAIN] epoch=33, iter=21790/40000, loss=0.3169, lr=0.004925, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:42:38 2021-01-17 20:05:59 [INFO] [TRAIN] epoch=33, iter=21800/40000, loss=0.2558, lr=0.004923, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:43:55 2021-01-17 20:06:05 [INFO] [TRAIN] epoch=33, iter=21810/40000, loss=0.2705, lr=0.004921, batch_cost=0.5265, reader_cost=0.0001 | ETA 02:39:37 2021-01-17 20:06:10 [INFO] [TRAIN] epoch=34, iter=21820/40000, loss=0.2834, lr=0.004918, batch_cost=0.5420, reader_cost=0.0142 | ETA 02:44:13 2021-01-17 20:06:16 [INFO] [TRAIN] epoch=34, iter=21830/40000, loss=0.2317, lr=0.004916, batch_cost=0.5377, reader_cost=0.0001 | ETA 02:42:50 2021-01-17 20:06:21 [INFO] [TRAIN] epoch=34, iter=21840/40000, loss=0.1758, lr=0.004913, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:43:21 2021-01-17 20:06:26 [INFO] [TRAIN] epoch=34, iter=21850/40000, loss=0.2186, lr=0.004911, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:42:46 2021-01-17 20:06:32 [INFO] [TRAIN] epoch=34, iter=21860/40000, loss=0.2994, lr=0.004908, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:43:14 2021-01-17 20:06:37 [INFO] [TRAIN] epoch=34, iter=21870/40000, loss=0.2583, lr=0.004906, batch_cost=0.5371, reader_cost=0.0001 | ETA 02:42:18 2021-01-17 20:06:43 [INFO] [TRAIN] epoch=34, iter=21880/40000, loss=0.2769, lr=0.004904, batch_cost=0.5419, reader_cost=0.0001 | ETA 02:43:39 2021-01-17 20:06:48 [INFO] [TRAIN] epoch=34, iter=21890/40000, loss=0.1577, lr=0.004901, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:42:26 2021-01-17 20:06:53 [INFO] [TRAIN] epoch=34, iter=21900/40000, loss=0.2682, lr=0.004899, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:41:58 2021-01-17 20:06:59 [INFO] [TRAIN] epoch=34, iter=21910/40000, loss=0.1839, lr=0.004896, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:41:52 2021-01-17 20:07:04 [INFO] [TRAIN] epoch=34, iter=21920/40000, loss=0.2414, lr=0.004894, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:41:52 2021-01-17 20:07:09 [INFO] [TRAIN] epoch=34, iter=21930/40000, loss=0.2526, lr=0.004891, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:43:09 2021-01-17 20:07:15 [INFO] [TRAIN] epoch=34, iter=21940/40000, loss=0.2299, lr=0.004889, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:41:31 2021-01-17 20:07:20 [INFO] [TRAIN] epoch=34, iter=21950/40000, loss=0.2669, lr=0.004886, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:41:42 2021-01-17 20:07:25 [INFO] [TRAIN] epoch=34, iter=21960/40000, loss=0.2774, lr=0.004884, batch_cost=0.5321, reader_cost=0.0001 | ETA 02:39:59 2021-01-17 20:07:31 [INFO] [TRAIN] epoch=34, iter=21970/40000, loss=0.2728, lr=0.004882, batch_cost=0.5354, reader_cost=0.0001 | ETA 02:40:53 2021-01-17 20:07:36 [INFO] [TRAIN] epoch=34, iter=21980/40000, loss=0.3154, lr=0.004879, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:42:29 2021-01-17 20:07:42 [INFO] [TRAIN] epoch=34, iter=21990/40000, loss=0.3000, lr=0.004877, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:42:24 2021-01-17 20:07:47 [INFO] [TRAIN] epoch=34, iter=22000/40000, loss=0.1746, lr=0.004874, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:41:04 2021-01-17 20:07:47 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 20:08:07 [INFO] [EVAL] #Images=1449 mIoU=0.7846 Acc=0.9519 Kappa=0.8933 2021-01-17 20:08:07 [INFO] [EVAL] Class IoU: [0.9461 0.8884 0.4297 0.8855 0.6621 0.8336 0.956 0.9004 0.8967 0.4673 0.8592 0.5109 0.8687 0.875 0.8773 0.8691 0.6703 0.8538 0.5329 0.9088 0.7852] 2021-01-17 20:08:07 [INFO] [EVAL] Class Acc: [0.9666 0.9139 0.4499 0.946 0.761 0.8901 0.9772 0.9644 0.9687 0.6486 0.9426 0.9413 0.8982 0.9377 0.9181 0.946 0.8335 0.9528 0.8412 0.9559 0.9209] 2021-01-17 20:08:14 [INFO] [EVAL] The model with the best validation mIoU (0.7846) was saved at iter 22000. 2021-01-17 20:08:19 [INFO] [TRAIN] epoch=34, iter=22010/40000, loss=0.2214, lr=0.004872, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:41:04 2021-01-17 20:08:24 [INFO] [TRAIN] epoch=34, iter=22020/40000, loss=0.2525, lr=0.004869, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:42:40 2021-01-17 20:08:30 [INFO] [TRAIN] epoch=34, iter=22030/40000, loss=0.2381, lr=0.004867, batch_cost=0.5454, reader_cost=0.0001 | ETA 02:43:20 2021-01-17 20:08:35 [INFO] [TRAIN] epoch=34, iter=22040/40000, loss=0.1970, lr=0.004865, batch_cost=0.5422, reader_cost=0.0001 | ETA 02:42:18 2021-01-17 20:08:41 [INFO] [TRAIN] epoch=34, iter=22050/40000, loss=0.2370, lr=0.004862, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:41:47 2021-01-17 20:08:46 [INFO] [TRAIN] epoch=34, iter=22060/40000, loss=0.3123, lr=0.004860, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:41:20 2021-01-17 20:08:51 [INFO] [TRAIN] epoch=34, iter=22070/40000, loss=0.2554, lr=0.004857, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:41:53 2021-01-17 20:08:57 [INFO] [TRAIN] epoch=34, iter=22080/40000, loss=0.2590, lr=0.004855, batch_cost=0.5394, reader_cost=0.0001 | ETA 02:41:06 2021-01-17 20:09:02 [INFO] [TRAIN] epoch=34, iter=22090/40000, loss=0.2644, lr=0.004852, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:40:11 2021-01-17 20:09:08 [INFO] [TRAIN] epoch=34, iter=22100/40000, loss=0.2247, lr=0.004850, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:41:18 2021-01-17 20:09:13 [INFO] [TRAIN] epoch=34, iter=22110/40000, loss=0.2963, lr=0.004847, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:41:06 2021-01-17 20:09:18 [INFO] [TRAIN] epoch=34, iter=22120/40000, loss=0.3426, lr=0.004845, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:40:47 2021-01-17 20:09:24 [INFO] [TRAIN] epoch=34, iter=22130/40000, loss=0.2817, lr=0.004843, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:39:29 2021-01-17 20:09:29 [INFO] [TRAIN] epoch=34, iter=22140/40000, loss=0.2820, lr=0.004840, batch_cost=0.5437, reader_cost=0.0001 | ETA 02:41:49 2021-01-17 20:09:35 [INFO] [TRAIN] epoch=34, iter=22150/40000, loss=0.3604, lr=0.004838, batch_cost=0.5441, reader_cost=0.0001 | ETA 02:41:51 2021-01-17 20:09:40 [INFO] [TRAIN] epoch=34, iter=22160/40000, loss=0.2404, lr=0.004835, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:40:49 2021-01-17 20:09:45 [INFO] [TRAIN] epoch=34, iter=22170/40000, loss=0.2660, lr=0.004833, batch_cost=0.5377, reader_cost=0.0001 | ETA 02:39:46 2021-01-17 20:09:51 [INFO] [TRAIN] epoch=34, iter=22180/40000, loss=0.2464, lr=0.004830, batch_cost=0.5420, reader_cost=0.0001 | ETA 02:40:58 2021-01-17 20:09:56 [INFO] [TRAIN] epoch=34, iter=22190/40000, loss=0.1873, lr=0.004828, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:40:09 2021-01-17 20:10:02 [INFO] [TRAIN] epoch=34, iter=22200/40000, loss=0.2426, lr=0.004826, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:40:15 2021-01-17 20:10:07 [INFO] [TRAIN] epoch=34, iter=22210/40000, loss=0.2794, lr=0.004823, batch_cost=0.5394, reader_cost=0.0001 | ETA 02:39:56 2021-01-17 20:10:12 [INFO] [TRAIN] epoch=34, iter=22220/40000, loss=0.2694, lr=0.004821, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:40:17 2021-01-17 20:10:18 [INFO] [TRAIN] epoch=34, iter=22230/40000, loss=0.2320, lr=0.004818, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:39:26 2021-01-17 20:10:23 [INFO] [TRAIN] epoch=34, iter=22240/40000, loss=0.2343, lr=0.004816, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:38:54 2021-01-17 20:10:29 [INFO] [TRAIN] epoch=34, iter=22250/40000, loss=0.2717, lr=0.004813, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:39:35 2021-01-17 20:10:34 [INFO] [TRAIN] epoch=34, iter=22260/40000, loss=0.2291, lr=0.004811, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:38:42 2021-01-17 20:10:39 [INFO] [TRAIN] epoch=34, iter=22270/40000, loss=0.2008, lr=0.004808, batch_cost=0.5316, reader_cost=0.0001 | ETA 02:37:05 2021-01-17 20:10:45 [INFO] [TRAIN] epoch=34, iter=22280/40000, loss=0.3101, lr=0.004806, batch_cost=0.5450, reader_cost=0.0001 | ETA 02:40:57 2021-01-17 20:10:50 [INFO] [TRAIN] epoch=34, iter=22290/40000, loss=0.3426, lr=0.004804, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:39:53 2021-01-17 20:10:56 [INFO] [TRAIN] epoch=34, iter=22300/40000, loss=0.3082, lr=0.004801, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:39:12 2021-01-17 20:11:01 [INFO] [TRAIN] epoch=34, iter=22310/40000, loss=0.1983, lr=0.004799, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:38:15 2021-01-17 20:11:06 [INFO] [TRAIN] epoch=34, iter=22320/40000, loss=0.2593, lr=0.004796, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:38:37 2021-01-17 20:11:12 [INFO] [TRAIN] epoch=34, iter=22330/40000, loss=0.2803, lr=0.004794, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:38:18 2021-01-17 20:11:17 [INFO] [TRAIN] epoch=34, iter=22340/40000, loss=0.4328, lr=0.004791, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:38:28 2021-01-17 20:11:22 [INFO] [TRAIN] epoch=34, iter=22350/40000, loss=0.2335, lr=0.004789, batch_cost=0.5364, reader_cost=0.0001 | ETA 02:37:46 2021-01-17 20:11:28 [INFO] [TRAIN] epoch=34, iter=22360/40000, loss=0.3517, lr=0.004786, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:37:55 2021-01-17 20:11:33 [INFO] [TRAIN] epoch=34, iter=22370/40000, loss=0.2049, lr=0.004784, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:38:42 2021-01-17 20:11:39 [INFO] [TRAIN] epoch=34, iter=22380/40000, loss=0.2361, lr=0.004782, batch_cost=0.5420, reader_cost=0.0001 | ETA 02:39:10 2021-01-17 20:11:44 [INFO] [TRAIN] epoch=34, iter=22390/40000, loss=0.2084, lr=0.004779, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:38:11 2021-01-17 20:11:49 [INFO] [TRAIN] epoch=34, iter=22400/40000, loss=0.3212, lr=0.004777, batch_cost=0.5433, reader_cost=0.0001 | ETA 02:39:21 2021-01-17 20:11:55 [INFO] [TRAIN] epoch=34, iter=22410/40000, loss=0.3106, lr=0.004774, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:38:50 2021-01-17 20:12:00 [INFO] [TRAIN] epoch=34, iter=22420/40000, loss=0.2458, lr=0.004772, batch_cost=0.5414, reader_cost=0.0001 | ETA 02:38:37 2021-01-17 20:12:06 [INFO] [TRAIN] epoch=34, iter=22430/40000, loss=0.2570, lr=0.004769, batch_cost=0.5385, reader_cost=0.0001 | ETA 02:37:41 2021-01-17 20:12:11 [INFO] [TRAIN] epoch=34, iter=22440/40000, loss=0.3044, lr=0.004767, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:38:19 2021-01-17 20:12:16 [INFO] [TRAIN] epoch=34, iter=22450/40000, loss=0.2539, lr=0.004765, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:36:37 2021-01-17 20:12:22 [INFO] [TRAIN] epoch=34, iter=22460/40000, loss=0.2354, lr=0.004762, batch_cost=0.5371, reader_cost=0.0001 | ETA 02:37:00 2021-01-17 20:12:27 [INFO] [TRAIN] epoch=34, iter=22470/40000, loss=0.2185, lr=0.004760, batch_cost=0.5332, reader_cost=0.0001 | ETA 02:35:47 2021-01-17 20:12:33 [INFO] [TRAIN] epoch=35, iter=22480/40000, loss=0.2634, lr=0.004757, batch_cost=0.5396, reader_cost=0.0218 | ETA 02:37:34 2021-01-17 20:12:38 [INFO] [TRAIN] epoch=35, iter=22490/40000, loss=0.2147, lr=0.004755, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:37:14 2021-01-17 20:12:43 [INFO] [TRAIN] epoch=35, iter=22500/40000, loss=0.2217, lr=0.004752, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:36:56 2021-01-17 20:12:49 [INFO] [TRAIN] epoch=35, iter=22510/40000, loss=0.2708, lr=0.004750, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:36:23 2021-01-17 20:12:54 [INFO] [TRAIN] epoch=35, iter=22520/40000, loss=0.2526, lr=0.004747, batch_cost=0.5346, reader_cost=0.0001 | ETA 02:35:44 2021-01-17 20:12:59 [INFO] [TRAIN] epoch=35, iter=22530/40000, loss=0.2482, lr=0.004745, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:38:21 2021-01-17 20:13:05 [INFO] [TRAIN] epoch=35, iter=22540/40000, loss=0.4700, lr=0.004743, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:36:49 2021-01-17 20:13:10 [INFO] [TRAIN] epoch=35, iter=22550/40000, loss=0.2323, lr=0.004740, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:37:46 2021-01-17 20:13:16 [INFO] [TRAIN] epoch=35, iter=22560/40000, loss=0.1772, lr=0.004738, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:36:36 2021-01-17 20:13:21 [INFO] [TRAIN] epoch=35, iter=22570/40000, loss=0.2899, lr=0.004735, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:37:01 2021-01-17 20:13:27 [INFO] [TRAIN] epoch=35, iter=22580/40000, loss=0.1797, lr=0.004733, batch_cost=0.5420, reader_cost=0.0001 | ETA 02:37:21 2021-01-17 20:13:32 [INFO] [TRAIN] epoch=35, iter=22590/40000, loss=0.2952, lr=0.004730, batch_cost=0.5489, reader_cost=0.0001 | ETA 02:39:15 2021-01-17 20:13:37 [INFO] [TRAIN] epoch=35, iter=22600/40000, loss=0.1963, lr=0.004728, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:35:58 2021-01-17 20:13:43 [INFO] [TRAIN] epoch=35, iter=22610/40000, loss=0.2191, lr=0.004725, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:36:00 2021-01-17 20:13:48 [INFO] [TRAIN] epoch=35, iter=22620/40000, loss=0.2170, lr=0.004723, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:36:19 2021-01-17 20:13:54 [INFO] [TRAIN] epoch=35, iter=22630/40000, loss=0.2082, lr=0.004721, batch_cost=0.5457, reader_cost=0.0001 | ETA 02:37:59 2021-01-17 20:13:59 [INFO] [TRAIN] epoch=35, iter=22640/40000, loss=0.2446, lr=0.004718, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:36:33 2021-01-17 20:14:04 [INFO] [TRAIN] epoch=35, iter=22650/40000, loss=0.2203, lr=0.004716, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:35:47 2021-01-17 20:14:10 [INFO] [TRAIN] epoch=35, iter=22660/40000, loss=0.2176, lr=0.004713, batch_cost=0.5450, reader_cost=0.0001 | ETA 02:37:29 2021-01-17 20:14:15 [INFO] [TRAIN] epoch=35, iter=22670/40000, loss=0.1975, lr=0.004711, batch_cost=0.5419, reader_cost=0.0001 | ETA 02:36:31 2021-01-17 20:14:21 [INFO] [TRAIN] epoch=35, iter=22680/40000, loss=0.2164, lr=0.004708, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:35:22 2021-01-17 20:14:26 [INFO] [TRAIN] epoch=35, iter=22690/40000, loss=0.2933, lr=0.004706, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:35:59 2021-01-17 20:14:31 [INFO] [TRAIN] epoch=35, iter=22700/40000, loss=0.2627, lr=0.004703, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:35:50 2021-01-17 20:14:37 [INFO] [TRAIN] epoch=35, iter=22710/40000, loss=0.2331, lr=0.004701, batch_cost=0.5317, reader_cost=0.0001 | ETA 02:33:12 2021-01-17 20:14:42 [INFO] [TRAIN] epoch=35, iter=22720/40000, loss=0.2418, lr=0.004698, batch_cost=0.5460, reader_cost=0.0001 | ETA 02:37:14 2021-01-17 20:14:48 [INFO] [TRAIN] epoch=35, iter=22730/40000, loss=0.2765, lr=0.004696, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:34:36 2021-01-17 20:14:53 [INFO] [TRAIN] epoch=35, iter=22740/40000, loss=0.2551, lr=0.004694, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:34:51 2021-01-17 20:14:58 [INFO] [TRAIN] epoch=35, iter=22750/40000, loss=0.2754, lr=0.004691, batch_cost=0.5429, reader_cost=0.0001 | ETA 02:36:05 2021-01-17 20:15:04 [INFO] [TRAIN] epoch=35, iter=22760/40000, loss=0.1999, lr=0.004689, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:35:23 2021-01-17 20:15:09 [INFO] [TRAIN] epoch=35, iter=22770/40000, loss=0.2467, lr=0.004686, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:34:46 2021-01-17 20:15:15 [INFO] [TRAIN] epoch=35, iter=22780/40000, loss=0.2542, lr=0.004684, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:34:15 2021-01-17 20:15:20 [INFO] [TRAIN] epoch=35, iter=22790/40000, loss=0.2649, lr=0.004681, batch_cost=0.5328, reader_cost=0.0001 | ETA 02:32:50 2021-01-17 20:15:25 [INFO] [TRAIN] epoch=35, iter=22800/40000, loss=0.3297, lr=0.004679, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:34:34 2021-01-17 20:15:31 [INFO] [TRAIN] epoch=35, iter=22810/40000, loss=0.2923, lr=0.004676, batch_cost=0.5455, reader_cost=0.0001 | ETA 02:36:16 2021-01-17 20:15:36 [INFO] [TRAIN] epoch=35, iter=22820/40000, loss=0.2538, lr=0.004674, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:33:13 2021-01-17 20:15:42 [INFO] [TRAIN] epoch=35, iter=22830/40000, loss=0.2313, lr=0.004672, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:35:38 2021-01-17 20:15:47 [INFO] [TRAIN] epoch=35, iter=22840/40000, loss=0.2328, lr=0.004669, batch_cost=0.5325, reader_cost=0.0001 | ETA 02:32:17 2021-01-17 20:15:52 [INFO] [TRAIN] epoch=35, iter=22850/40000, loss=0.2197, lr=0.004667, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:34:43 2021-01-17 20:15:58 [INFO] [TRAIN] epoch=35, iter=22860/40000, loss=0.2293, lr=0.004664, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:33:58 2021-01-17 20:16:03 [INFO] [TRAIN] epoch=35, iter=22870/40000, loss=0.2322, lr=0.004662, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:34:40 2021-01-17 20:16:09 [INFO] [TRAIN] epoch=35, iter=22880/40000, loss=0.2229, lr=0.004659, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:35:13 2021-01-17 20:16:14 [INFO] [TRAIN] epoch=35, iter=22890/40000, loss=0.2817, lr=0.004657, batch_cost=0.5426, reader_cost=0.0001 | ETA 02:34:43 2021-01-17 20:16:19 [INFO] [TRAIN] epoch=35, iter=22900/40000, loss=0.2589, lr=0.004654, batch_cost=0.5374, reader_cost=0.0001 | ETA 02:33:09 2021-01-17 20:16:25 [INFO] [TRAIN] epoch=35, iter=22910/40000, loss=0.2665, lr=0.004652, batch_cost=0.5352, reader_cost=0.0001 | ETA 02:32:26 2021-01-17 20:16:30 [INFO] [TRAIN] epoch=35, iter=22920/40000, loss=0.2318, lr=0.004650, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:32:45 2021-01-17 20:16:36 [INFO] [TRAIN] epoch=35, iter=22930/40000, loss=0.2309, lr=0.004647, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:33:55 2021-01-17 20:16:41 [INFO] [TRAIN] epoch=35, iter=22940/40000, loss=0.3587, lr=0.004645, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:33:29 2021-01-17 20:16:46 [INFO] [TRAIN] epoch=35, iter=22950/40000, loss=0.2098, lr=0.004642, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:33:36 2021-01-17 20:16:52 [INFO] [TRAIN] epoch=35, iter=22960/40000, loss=0.3297, lr=0.004640, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:32:22 2021-01-17 20:16:57 [INFO] [TRAIN] epoch=35, iter=22970/40000, loss=0.2519, lr=0.004637, batch_cost=0.5449, reader_cost=0.0001 | ETA 02:34:39 2021-01-17 20:17:03 [INFO] [TRAIN] epoch=35, iter=22980/40000, loss=0.3122, lr=0.004635, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:32:55 2021-01-17 20:17:08 [INFO] [TRAIN] epoch=35, iter=22990/40000, loss=0.3270, lr=0.004632, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:32:50 2021-01-17 20:17:13 [INFO] [TRAIN] epoch=35, iter=23000/40000, loss=0.2699, lr=0.004630, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:33:39 2021-01-17 20:17:13 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 20:17:34 [INFO] [EVAL] #Images=1449 mIoU=0.7848 Acc=0.9510 Kappa=0.8908 2021-01-17 20:17:34 [INFO] [EVAL] Class IoU: [0.9438 0.9113 0.4276 0.8816 0.6656 0.8404 0.9455 0.8841 0.925 0.4476 0.8881 0.4919 0.8898 0.9131 0.8796 0.855 0.6406 0.8642 0.5202 0.8954 0.7703] 2021-01-17 20:17:34 [INFO] [EVAL] Class Acc: [0.9636 0.9457 0.4484 0.9409 0.7753 0.8986 0.9816 0.9426 0.9601 0.698 0.9315 0.9366 0.9305 0.9626 0.9233 0.9595 0.8631 0.9545 0.756 0.9515 0.924 ] 2021-01-17 20:17:40 [INFO] [EVAL] The model with the best validation mIoU (0.7848) was saved at iter 23000. 2021-01-17 20:17:45 [INFO] [TRAIN] epoch=35, iter=23010/40000, loss=0.2217, lr=0.004627, batch_cost=0.5328, reader_cost=0.0001 | ETA 02:30:52 2021-01-17 20:17:51 [INFO] [TRAIN] epoch=35, iter=23020/40000, loss=0.2912, lr=0.004625, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:33:09 2021-01-17 20:17:56 [INFO] [TRAIN] epoch=35, iter=23030/40000, loss=0.2089, lr=0.004623, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:32:42 2021-01-17 20:18:02 [INFO] [TRAIN] epoch=35, iter=23040/40000, loss=0.2325, lr=0.004620, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:32:38 2021-01-17 20:18:07 [INFO] [TRAIN] epoch=35, iter=23050/40000, loss=0.2304, lr=0.004618, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:32:39 2021-01-17 20:18:13 [INFO] [TRAIN] epoch=35, iter=23060/40000, loss=0.2351, lr=0.004615, batch_cost=0.5433, reader_cost=0.0001 | ETA 02:33:22 2021-01-17 20:18:18 [INFO] [TRAIN] epoch=35, iter=23070/40000, loss=0.2060, lr=0.004613, batch_cost=0.5380, reader_cost=0.0001 | ETA 02:31:49 2021-01-17 20:18:23 [INFO] [TRAIN] epoch=35, iter=23080/40000, loss=0.2444, lr=0.004610, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:32:10 2021-01-17 20:18:29 [INFO] [TRAIN] epoch=35, iter=23090/40000, loss=0.1514, lr=0.004608, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:33:17 2021-01-17 20:18:34 [INFO] [TRAIN] epoch=35, iter=23100/40000, loss=0.2526, lr=0.004605, batch_cost=0.5350, reader_cost=0.0001 | ETA 02:30:41 2021-01-17 20:18:39 [INFO] [TRAIN] epoch=35, iter=23110/40000, loss=0.2597, lr=0.004603, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:30:43 2021-01-17 20:18:45 [INFO] [TRAIN] epoch=35, iter=23120/40000, loss=0.3234, lr=0.004600, batch_cost=0.5415, reader_cost=0.0001 | ETA 02:32:19 2021-01-17 20:18:50 [INFO] [TRAIN] epoch=35, iter=23130/40000, loss=0.2977, lr=0.004598, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:31:14 2021-01-17 20:18:56 [INFO] [TRAIN] epoch=36, iter=23140/40000, loss=0.3487, lr=0.004596, batch_cost=0.5253, reader_cost=0.0133 | ETA 02:27:36 2021-01-17 20:19:01 [INFO] [TRAIN] epoch=36, iter=23150/40000, loss=0.2408, lr=0.004593, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:31:03 2021-01-17 20:19:06 [INFO] [TRAIN] epoch=36, iter=23160/40000, loss=0.2440, lr=0.004591, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:31:38 2021-01-17 20:19:12 [INFO] [TRAIN] epoch=36, iter=23170/40000, loss=0.3012, lr=0.004588, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:31:40 2021-01-17 20:19:17 [INFO] [TRAIN] epoch=36, iter=23180/40000, loss=0.2186, lr=0.004586, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:30:42 2021-01-17 20:19:22 [INFO] [TRAIN] epoch=36, iter=23190/40000, loss=0.3004, lr=0.004583, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:30:58 2021-01-17 20:19:28 [INFO] [TRAIN] epoch=36, iter=23200/40000, loss=0.2779, lr=0.004581, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:29:49 2021-01-17 20:19:33 [INFO] [TRAIN] epoch=36, iter=23210/40000, loss=0.2804, lr=0.004578, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:32:13 2021-01-17 20:19:39 [INFO] [TRAIN] epoch=36, iter=23220/40000, loss=0.3335, lr=0.004576, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:30:07 2021-01-17 20:19:44 [INFO] [TRAIN] epoch=36, iter=23230/40000, loss=0.2854, lr=0.004574, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:30:43 2021-01-17 20:19:49 [INFO] [TRAIN] epoch=36, iter=23240/40000, loss=0.2801, lr=0.004571, batch_cost=0.5445, reader_cost=0.0001 | ETA 02:32:05 2021-01-17 20:19:55 [INFO] [TRAIN] epoch=36, iter=23250/40000, loss=0.3050, lr=0.004569, batch_cost=0.5443, reader_cost=0.0001 | ETA 02:31:56 2021-01-17 20:20:00 [INFO] [TRAIN] epoch=36, iter=23260/40000, loss=0.2387, lr=0.004566, batch_cost=0.5347, reader_cost=0.0001 | ETA 02:29:10 2021-01-17 20:20:06 [INFO] [TRAIN] epoch=36, iter=23270/40000, loss=0.2297, lr=0.004564, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:30:17 2021-01-17 20:20:11 [INFO] [TRAIN] epoch=36, iter=23280/40000, loss=0.2461, lr=0.004561, batch_cost=0.5444, reader_cost=0.0001 | ETA 02:31:42 2021-01-17 20:20:16 [INFO] [TRAIN] epoch=36, iter=23290/40000, loss=0.2082, lr=0.004559, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:30:01 2021-01-17 20:20:22 [INFO] [TRAIN] epoch=36, iter=23300/40000, loss=0.1986, lr=0.004556, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:30:36 2021-01-17 20:20:27 [INFO] [TRAIN] epoch=36, iter=23310/40000, loss=0.2256, lr=0.004554, batch_cost=0.5347, reader_cost=0.0001 | ETA 02:28:43 2021-01-17 20:20:33 [INFO] [TRAIN] epoch=36, iter=23320/40000, loss=0.2430, lr=0.004551, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:29:36 2021-01-17 20:20:38 [INFO] [TRAIN] epoch=36, iter=23330/40000, loss=0.2002, lr=0.004549, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:28:57 2021-01-17 20:20:43 [INFO] [TRAIN] epoch=36, iter=23340/40000, loss=0.2094, lr=0.004546, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:30:31 2021-01-17 20:20:49 [INFO] [TRAIN] epoch=36, iter=23350/40000, loss=0.3729, lr=0.004544, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:28:43 2021-01-17 20:20:54 [INFO] [TRAIN] epoch=36, iter=23360/40000, loss=0.3176, lr=0.004542, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:29:57 2021-01-17 20:21:00 [INFO] [TRAIN] epoch=36, iter=23370/40000, loss=0.2695, lr=0.004539, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:28:37 2021-01-17 20:21:05 [INFO] [TRAIN] epoch=36, iter=23380/40000, loss=0.2056, lr=0.004537, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:29:11 2021-01-17 20:21:10 [INFO] [TRAIN] epoch=36, iter=23390/40000, loss=0.2954, lr=0.004534, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:29:21 2021-01-17 20:21:16 [INFO] [TRAIN] epoch=36, iter=23400/40000, loss=0.2277, lr=0.004532, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:29:37 2021-01-17 20:21:21 [INFO] [TRAIN] epoch=36, iter=23410/40000, loss=0.2571, lr=0.004529, batch_cost=0.5361, reader_cost=0.0001 | ETA 02:28:13 2021-01-17 20:21:26 [INFO] [TRAIN] epoch=36, iter=23420/40000, loss=0.3851, lr=0.004527, batch_cost=0.5330, reader_cost=0.0001 | ETA 02:27:16 2021-01-17 20:21:32 [INFO] [TRAIN] epoch=36, iter=23430/40000, loss=0.2862, lr=0.004524, batch_cost=0.5334, reader_cost=0.0001 | ETA 02:27:18 2021-01-17 20:21:37 [INFO] [TRAIN] epoch=36, iter=23440/40000, loss=0.2305, lr=0.004522, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:29:52 2021-01-17 20:21:43 [INFO] [TRAIN] epoch=36, iter=23450/40000, loss=0.2386, lr=0.004519, batch_cost=0.5364, reader_cost=0.0001 | ETA 02:27:57 2021-01-17 20:21:48 [INFO] [TRAIN] epoch=36, iter=23460/40000, loss=0.2099, lr=0.004517, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:27:55 2021-01-17 20:21:53 [INFO] [TRAIN] epoch=36, iter=23470/40000, loss=0.1553, lr=0.004515, batch_cost=0.5349, reader_cost=0.0001 | ETA 02:27:21 2021-01-17 20:21:59 [INFO] [TRAIN] epoch=36, iter=23480/40000, loss=0.2013, lr=0.004512, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:28:01 2021-01-17 20:22:04 [INFO] [TRAIN] epoch=36, iter=23490/40000, loss=0.2606, lr=0.004510, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:28:24 2021-01-17 20:22:09 [INFO] [TRAIN] epoch=36, iter=23500/40000, loss=0.2514, lr=0.004507, batch_cost=0.5433, reader_cost=0.0001 | ETA 02:29:24 2021-01-17 20:22:15 [INFO] [TRAIN] epoch=36, iter=23510/40000, loss=0.2064, lr=0.004505, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:28:05 2021-01-17 20:22:20 [INFO] [TRAIN] epoch=36, iter=23520/40000, loss=0.2439, lr=0.004502, batch_cost=0.5360, reader_cost=0.0001 | ETA 02:27:13 2021-01-17 20:22:26 [INFO] [TRAIN] epoch=36, iter=23530/40000, loss=0.1786, lr=0.004500, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:27:18 2021-01-17 20:22:31 [INFO] [TRAIN] epoch=36, iter=23540/40000, loss=0.2570, lr=0.004497, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:27:07 2021-01-17 20:22:36 [INFO] [TRAIN] epoch=36, iter=23550/40000, loss=0.2486, lr=0.004495, batch_cost=0.5457, reader_cost=0.0001 | ETA 02:29:37 2021-01-17 20:22:42 [INFO] [TRAIN] epoch=36, iter=23560/40000, loss=0.3124, lr=0.004492, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:28:02 2021-01-17 20:22:47 [INFO] [TRAIN] epoch=36, iter=23570/40000, loss=0.2122, lr=0.004490, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:28:21 2021-01-17 20:22:53 [INFO] [TRAIN] epoch=36, iter=23580/40000, loss=0.2323, lr=0.004488, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:28:35 2021-01-17 20:22:58 [INFO] [TRAIN] epoch=36, iter=23590/40000, loss=0.2554, lr=0.004485, batch_cost=0.5339, reader_cost=0.0001 | ETA 02:26:01 2021-01-17 20:23:03 [INFO] [TRAIN] epoch=36, iter=23600/40000, loss=0.2389, lr=0.004483, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:27:41 2021-01-17 20:23:09 [INFO] [TRAIN] epoch=36, iter=23610/40000, loss=0.2414, lr=0.004480, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:27:08 2021-01-17 20:23:14 [INFO] [TRAIN] epoch=36, iter=23620/40000, loss=0.1735, lr=0.004478, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:26:59 2021-01-17 20:23:20 [INFO] [TRAIN] epoch=36, iter=23630/40000, loss=0.2161, lr=0.004475, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:27:05 2021-01-17 20:23:25 [INFO] [TRAIN] epoch=36, iter=23640/40000, loss=0.2115, lr=0.004473, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:26:18 2021-01-17 20:23:30 [INFO] [TRAIN] epoch=36, iter=23650/40000, loss=0.3119, lr=0.004470, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:27:22 2021-01-17 20:23:36 [INFO] [TRAIN] epoch=36, iter=23660/40000, loss=0.2497, lr=0.004468, batch_cost=0.5385, reader_cost=0.0001 | ETA 02:26:38 2021-01-17 20:23:41 [INFO] [TRAIN] epoch=36, iter=23670/40000, loss=0.2199, lr=0.004465, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:26:30 2021-01-17 20:23:47 [INFO] [TRAIN] epoch=36, iter=23680/40000, loss=0.2833, lr=0.004463, batch_cost=0.5434, reader_cost=0.0001 | ETA 02:27:47 2021-01-17 20:23:52 [INFO] [TRAIN] epoch=36, iter=23690/40000, loss=0.2517, lr=0.004460, batch_cost=0.5394, reader_cost=0.0001 | ETA 02:26:37 2021-01-17 20:23:57 [INFO] [TRAIN] epoch=36, iter=23700/40000, loss=0.2594, lr=0.004458, batch_cost=0.5374, reader_cost=0.0001 | ETA 02:26:00 2021-01-17 20:24:03 [INFO] [TRAIN] epoch=36, iter=23710/40000, loss=0.2345, lr=0.004456, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:26:07 2021-01-17 20:24:08 [INFO] [TRAIN] epoch=36, iter=23720/40000, loss=0.2800, lr=0.004453, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:26:44 2021-01-17 20:24:13 [INFO] [TRAIN] epoch=36, iter=23730/40000, loss=0.2841, lr=0.004451, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:25:49 2021-01-17 20:24:19 [INFO] [TRAIN] epoch=36, iter=23740/40000, loss=0.2215, lr=0.004448, batch_cost=0.5455, reader_cost=0.0001 | ETA 02:27:49 2021-01-17 20:24:24 [INFO] [TRAIN] epoch=36, iter=23750/40000, loss=0.2815, lr=0.004446, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:26:26 2021-01-17 20:24:30 [INFO] [TRAIN] epoch=36, iter=23760/40000, loss=0.2525, lr=0.004443, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:26:25 2021-01-17 20:24:35 [INFO] [TRAIN] epoch=36, iter=23770/40000, loss=0.2852, lr=0.004441, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:25:41 2021-01-17 20:24:41 [INFO] [TRAIN] epoch=36, iter=23780/40000, loss=0.3004, lr=0.004438, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:26:07 2021-01-17 20:24:46 [INFO] [TRAIN] epoch=36, iter=23790/40000, loss=0.2544, lr=0.004436, batch_cost=0.5333, reader_cost=0.0001 | ETA 02:24:04 2021-01-17 20:24:51 [INFO] [TRAIN] epoch=37, iter=23800/40000, loss=0.2046, lr=0.004433, batch_cost=0.5366, reader_cost=0.0114 | ETA 02:24:53 2021-01-17 20:24:57 [INFO] [TRAIN] epoch=37, iter=23810/40000, loss=0.3721, lr=0.004431, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:25:53 2021-01-17 20:25:02 [INFO] [TRAIN] epoch=37, iter=23820/40000, loss=0.2404, lr=0.004428, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:24:42 2021-01-17 20:25:07 [INFO] [TRAIN] epoch=37, iter=23830/40000, loss=0.2277, lr=0.004426, batch_cost=0.5436, reader_cost=0.0001 | ETA 02:26:30 2021-01-17 20:25:13 [INFO] [TRAIN] epoch=37, iter=23840/40000, loss=0.2615, lr=0.004424, batch_cost=0.5486, reader_cost=0.0001 | ETA 02:27:45 2021-01-17 20:25:18 [INFO] [TRAIN] epoch=37, iter=23850/40000, loss=0.2104, lr=0.004421, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:24:41 2021-01-17 20:25:24 [INFO] [TRAIN] epoch=37, iter=23860/40000, loss=0.2288, lr=0.004419, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:25:00 2021-01-17 20:25:29 [INFO] [TRAIN] epoch=37, iter=23870/40000, loss=0.2846, lr=0.004416, batch_cost=0.5453, reader_cost=0.0001 | ETA 02:26:35 2021-01-17 20:25:35 [INFO] [TRAIN] epoch=37, iter=23880/40000, loss=0.2540, lr=0.004414, batch_cost=0.5385, reader_cost=0.0001 | ETA 02:24:40 2021-01-17 20:25:40 [INFO] [TRAIN] epoch=37, iter=23890/40000, loss=0.2397, lr=0.004411, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:24:28 2021-01-17 20:25:45 [INFO] [TRAIN] epoch=37, iter=23900/40000, loss=0.1987, lr=0.004409, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:25:19 2021-01-17 20:25:51 [INFO] [TRAIN] epoch=37, iter=23910/40000, loss=0.2744, lr=0.004406, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:24:27 2021-01-17 20:25:56 [INFO] [TRAIN] epoch=37, iter=23920/40000, loss=0.2267, lr=0.004404, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:23:54 2021-01-17 20:26:01 [INFO] [TRAIN] epoch=37, iter=23930/40000, loss=0.2165, lr=0.004401, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:23:46 2021-01-17 20:26:07 [INFO] [TRAIN] epoch=37, iter=23940/40000, loss=0.2416, lr=0.004399, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:24:37 2021-01-17 20:26:12 [INFO] [TRAIN] epoch=37, iter=23950/40000, loss=0.2264, lr=0.004396, batch_cost=0.5356, reader_cost=0.0001 | ETA 02:23:16 2021-01-17 20:26:18 [INFO] [TRAIN] epoch=37, iter=23960/40000, loss=0.2306, lr=0.004394, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:24:04 2021-01-17 20:26:23 [INFO] [TRAIN] epoch=37, iter=23970/40000, loss=0.2388, lr=0.004391, batch_cost=0.5371, reader_cost=0.0001 | ETA 02:23:30 2021-01-17 20:26:28 [INFO] [TRAIN] epoch=37, iter=23980/40000, loss=0.1936, lr=0.004389, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:24:26 2021-01-17 20:26:34 [INFO] [TRAIN] epoch=37, iter=23990/40000, loss=0.2474, lr=0.004387, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:24:11 2021-01-17 20:26:39 [INFO] [TRAIN] epoch=37, iter=24000/40000, loss=0.3098, lr=0.004384, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:23:04 2021-01-17 20:26:39 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 20:27:00 [INFO] [EVAL] #Images=1449 mIoU=0.7961 Acc=0.9535 Kappa=0.8967 2021-01-17 20:27:00 [INFO] [EVAL] Class IoU: [0.9462 0.9213 0.4332 0.8991 0.6997 0.837 0.934 0.8817 0.9256 0.4837 0.9036 0.6129 0.8962 0.9012 0.8783 0.8717 0.6411 0.9105 0.5085 0.8572 0.7752] 2021-01-17 20:27:00 [INFO] [EVAL] Class Acc: [0.966 0.9487 0.4545 0.9647 0.8196 0.9032 0.9859 0.9445 0.9582 0.6903 0.969 0.9271 0.9366 0.944 0.9163 0.9417 0.8218 0.959 0.82 0.9662 0.9311] 2021-01-17 20:27:06 [INFO] [EVAL] The model with the best validation mIoU (0.7961) was saved at iter 24000. 2021-01-17 20:27:11 [INFO] [TRAIN] epoch=37, iter=24010/40000, loss=0.2148, lr=0.004382, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:22:59 2021-01-17 20:27:17 [INFO] [TRAIN] epoch=37, iter=24020/40000, loss=0.2370, lr=0.004379, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:23:22 2021-01-17 20:27:22 [INFO] [TRAIN] epoch=37, iter=24030/40000, loss=0.2119, lr=0.004377, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:22:31 2021-01-17 20:27:28 [INFO] [TRAIN] epoch=37, iter=24040/40000, loss=0.2612, lr=0.004374, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:22:46 2021-01-17 20:27:33 [INFO] [TRAIN] epoch=37, iter=24050/40000, loss=0.3159, lr=0.004372, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:23:47 2021-01-17 20:27:38 [INFO] [TRAIN] epoch=37, iter=24060/40000, loss=0.1841, lr=0.004369, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:24:29 2021-01-17 20:27:44 [INFO] [TRAIN] epoch=37, iter=24070/40000, loss=0.2646, lr=0.004367, batch_cost=0.5439, reader_cost=0.0001 | ETA 02:24:23 2021-01-17 20:27:49 [INFO] [TRAIN] epoch=37, iter=24080/40000, loss=0.2074, lr=0.004364, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:23:36 2021-01-17 20:27:55 [INFO] [TRAIN] epoch=37, iter=24090/40000, loss=0.3096, lr=0.004362, batch_cost=0.5420, reader_cost=0.0001 | ETA 02:23:42 2021-01-17 20:28:00 [INFO] [TRAIN] epoch=37, iter=24100/40000, loss=0.1741, lr=0.004359, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:23:24 2021-01-17 20:28:05 [INFO] [TRAIN] epoch=37, iter=24110/40000, loss=0.1982, lr=0.004357, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:22:05 2021-01-17 20:28:11 [INFO] [TRAIN] epoch=37, iter=24120/40000, loss=0.3105, lr=0.004354, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:21:36 2021-01-17 20:28:16 [INFO] [TRAIN] epoch=37, iter=24130/40000, loss=0.3697, lr=0.004352, batch_cost=0.5415, reader_cost=0.0001 | ETA 02:23:13 2021-01-17 20:28:22 [INFO] [TRAIN] epoch=37, iter=24140/40000, loss=0.3283, lr=0.004350, batch_cost=0.5437, reader_cost=0.0001 | ETA 02:23:43 2021-01-17 20:28:27 [INFO] [TRAIN] epoch=37, iter=24150/40000, loss=0.2869, lr=0.004347, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:22:09 2021-01-17 20:28:32 [INFO] [TRAIN] epoch=37, iter=24160/40000, loss=0.1838, lr=0.004345, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:21:48 2021-01-17 20:28:38 [INFO] [TRAIN] epoch=37, iter=24170/40000, loss=0.2599, lr=0.004342, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:22:28 2021-01-17 20:28:43 [INFO] [TRAIN] epoch=37, iter=24180/40000, loss=0.2843, lr=0.004340, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:22:17 2021-01-17 20:28:49 [INFO] [TRAIN] epoch=37, iter=24190/40000, loss=0.2899, lr=0.004337, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:20:41 2021-01-17 20:28:54 [INFO] [TRAIN] epoch=37, iter=24200/40000, loss=0.3136, lr=0.004335, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:21:38 2021-01-17 20:28:59 [INFO] [TRAIN] epoch=37, iter=24210/40000, loss=0.2154, lr=0.004332, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:22:09 2021-01-17 20:29:05 [INFO] [TRAIN] epoch=37, iter=24220/40000, loss=0.3141, lr=0.004330, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:21:42 2021-01-17 20:29:10 [INFO] [TRAIN] epoch=37, iter=24230/40000, loss=0.2277, lr=0.004327, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:21:27 2021-01-17 20:29:16 [INFO] [TRAIN] epoch=37, iter=24240/40000, loss=0.2060, lr=0.004325, batch_cost=0.5431, reader_cost=0.0001 | ETA 02:22:39 2021-01-17 20:29:21 [INFO] [TRAIN] epoch=37, iter=24250/40000, loss=0.2428, lr=0.004322, batch_cost=0.5336, reader_cost=0.0001 | ETA 02:20:04 2021-01-17 20:29:26 [INFO] [TRAIN] epoch=37, iter=24260/40000, loss=0.2451, lr=0.004320, batch_cost=0.5337, reader_cost=0.0001 | ETA 02:20:00 2021-01-17 20:29:32 [INFO] [TRAIN] epoch=37, iter=24270/40000, loss=0.2011, lr=0.004317, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:21:13 2021-01-17 20:29:37 [INFO] [TRAIN] epoch=37, iter=24280/40000, loss=0.2925, lr=0.004315, batch_cost=0.5377, reader_cost=0.0001 | ETA 02:20:53 2021-01-17 20:29:42 [INFO] [TRAIN] epoch=37, iter=24290/40000, loss=0.2063, lr=0.004313, batch_cost=0.5441, reader_cost=0.0001 | ETA 02:22:27 2021-01-17 20:29:48 [INFO] [TRAIN] epoch=37, iter=24300/40000, loss=0.2532, lr=0.004310, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:21:51 2021-01-17 20:29:53 [INFO] [TRAIN] epoch=37, iter=24310/40000, loss=0.2596, lr=0.004308, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:20:47 2021-01-17 20:29:59 [INFO] [TRAIN] epoch=37, iter=24320/40000, loss=0.2206, lr=0.004305, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:19:50 2021-01-17 20:30:04 [INFO] [TRAIN] epoch=37, iter=24330/40000, loss=0.2070, lr=0.004303, batch_cost=0.5401, reader_cost=0.0001 | ETA 02:21:03 2021-01-17 20:30:09 [INFO] [TRAIN] epoch=37, iter=24340/40000, loss=0.3398, lr=0.004300, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:20:36 2021-01-17 20:30:15 [INFO] [TRAIN] epoch=37, iter=24350/40000, loss=0.1740, lr=0.004298, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:20:36 2021-01-17 20:30:20 [INFO] [TRAIN] epoch=37, iter=24360/40000, loss=0.2512, lr=0.004295, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:20:18 2021-01-17 20:30:26 [INFO] [TRAIN] epoch=37, iter=24370/40000, loss=0.2119, lr=0.004293, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:20:29 2021-01-17 20:30:31 [INFO] [TRAIN] epoch=37, iter=24380/40000, loss=0.2162, lr=0.004290, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:20:05 2021-01-17 20:30:36 [INFO] [TRAIN] epoch=37, iter=24390/40000, loss=0.3062, lr=0.004288, batch_cost=0.5453, reader_cost=0.0001 | ETA 02:21:51 2021-01-17 20:30:42 [INFO] [TRAIN] epoch=37, iter=24400/40000, loss=0.2847, lr=0.004285, batch_cost=0.5347, reader_cost=0.0001 | ETA 02:19:02 2021-01-17 20:30:47 [INFO] [TRAIN] epoch=37, iter=24410/40000, loss=0.1871, lr=0.004283, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:19:11 2021-01-17 20:30:52 [INFO] [TRAIN] epoch=37, iter=24420/40000, loss=0.2757, lr=0.004280, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:19:56 2021-01-17 20:30:58 [INFO] [TRAIN] epoch=37, iter=24430/40000, loss=0.2265, lr=0.004278, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:19:30 2021-01-17 20:31:03 [INFO] [TRAIN] epoch=37, iter=24440/40000, loss=0.2547, lr=0.004275, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:19:58 2021-01-17 20:31:09 [INFO] [TRAIN] epoch=37, iter=24450/40000, loss=0.2719, lr=0.004273, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:19:32 2021-01-17 20:31:14 [INFO] [TRAIN] epoch=38, iter=24460/40000, loss=0.2987, lr=0.004270, batch_cost=0.5257, reader_cost=0.0148 | ETA 02:16:09 2021-01-17 20:31:19 [INFO] [TRAIN] epoch=38, iter=24470/40000, loss=0.1942, lr=0.004268, batch_cost=0.5370, reader_cost=0.0001 | ETA 02:18:59 2021-01-17 20:31:25 [INFO] [TRAIN] epoch=38, iter=24480/40000, loss=0.3101, lr=0.004266, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:19:33 2021-01-17 20:31:30 [INFO] [TRAIN] epoch=38, iter=24490/40000, loss=0.3777, lr=0.004263, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:19:14 2021-01-17 20:31:35 [INFO] [TRAIN] epoch=38, iter=24500/40000, loss=0.2232, lr=0.004261, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:19:22 2021-01-17 20:31:41 [INFO] [TRAIN] epoch=38, iter=24510/40000, loss=0.2300, lr=0.004258, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:19:10 2021-01-17 20:31:46 [INFO] [TRAIN] epoch=38, iter=24520/40000, loss=0.2128, lr=0.004256, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:18:09 2021-01-17 20:31:52 [INFO] [TRAIN] epoch=38, iter=24530/40000, loss=0.2111, lr=0.004253, batch_cost=0.5431, reader_cost=0.0001 | ETA 02:20:01 2021-01-17 20:31:57 [INFO] [TRAIN] epoch=38, iter=24540/40000, loss=0.2844, lr=0.004251, batch_cost=0.5380, reader_cost=0.0001 | ETA 02:18:37 2021-01-17 20:32:02 [INFO] [TRAIN] epoch=38, iter=24550/40000, loss=0.2645, lr=0.004248, batch_cost=0.5371, reader_cost=0.0001 | ETA 02:18:18 2021-01-17 20:32:08 [INFO] [TRAIN] epoch=38, iter=24560/40000, loss=0.2868, lr=0.004246, batch_cost=0.5383, reader_cost=0.0001 | ETA 02:18:31 2021-01-17 20:32:13 [INFO] [TRAIN] epoch=38, iter=24570/40000, loss=0.2597, lr=0.004243, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:19:19 2021-01-17 20:32:19 [INFO] [TRAIN] epoch=38, iter=24580/40000, loss=0.1766, lr=0.004241, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:17:55 2021-01-17 20:32:24 [INFO] [TRAIN] epoch=38, iter=24590/40000, loss=0.2410, lr=0.004238, batch_cost=0.5374, reader_cost=0.0001 | ETA 02:18:01 2021-01-17 20:32:29 [INFO] [TRAIN] epoch=38, iter=24600/40000, loss=0.1762, lr=0.004236, batch_cost=0.5374, reader_cost=0.0001 | ETA 02:17:55 2021-01-17 20:32:35 [INFO] [TRAIN] epoch=38, iter=24610/40000, loss=0.2624, lr=0.004233, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:18:55 2021-01-17 20:32:40 [INFO] [TRAIN] epoch=38, iter=24620/40000, loss=0.2541, lr=0.004231, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:17:27 2021-01-17 20:32:45 [INFO] [TRAIN] epoch=38, iter=24630/40000, loss=0.1662, lr=0.004228, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:18:02 2021-01-17 20:32:51 [INFO] [TRAIN] epoch=38, iter=24640/40000, loss=0.2409, lr=0.004226, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:16:58 2021-01-17 20:32:56 [INFO] [TRAIN] epoch=38, iter=24650/40000, loss=0.2376, lr=0.004223, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:18:23 2021-01-17 20:33:02 [INFO] [TRAIN] epoch=38, iter=24660/40000, loss=0.2400, lr=0.004221, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:16:32 2021-01-17 20:33:07 [INFO] [TRAIN] epoch=38, iter=24670/40000, loss=0.2113, lr=0.004219, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:17:44 2021-01-17 20:33:12 [INFO] [TRAIN] epoch=38, iter=24680/40000, loss=0.2667, lr=0.004216, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:18:02 2021-01-17 20:33:18 [INFO] [TRAIN] epoch=38, iter=24690/40000, loss=0.1905, lr=0.004214, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:18:11 2021-01-17 20:33:23 [INFO] [TRAIN] epoch=38, iter=24700/40000, loss=0.2227, lr=0.004211, batch_cost=0.5340, reader_cost=0.0001 | ETA 02:16:10 2021-01-17 20:33:28 [INFO] [TRAIN] epoch=38, iter=24710/40000, loss=0.2177, lr=0.004209, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:16:46 2021-01-17 20:33:34 [INFO] [TRAIN] epoch=38, iter=24720/40000, loss=0.2433, lr=0.004206, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:17:04 2021-01-17 20:33:39 [INFO] [TRAIN] epoch=38, iter=24730/40000, loss=0.3045, lr=0.004204, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:17:07 2021-01-17 20:33:45 [INFO] [TRAIN] epoch=38, iter=24740/40000, loss=0.2184, lr=0.004201, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:17:30 2021-01-17 20:33:50 [INFO] [TRAIN] epoch=38, iter=24750/40000, loss=0.2564, lr=0.004199, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:17:17 2021-01-17 20:33:55 [INFO] [TRAIN] epoch=38, iter=24760/40000, loss=0.2549, lr=0.004196, batch_cost=0.5361, reader_cost=0.0001 | ETA 02:16:10 2021-01-17 20:34:01 [INFO] [TRAIN] epoch=38, iter=24770/40000, loss=0.3373, lr=0.004194, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:16:44 2021-01-17 20:34:06 [INFO] [TRAIN] epoch=38, iter=24780/40000, loss=0.2119, lr=0.004191, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:15:44 2021-01-17 20:34:12 [INFO] [TRAIN] epoch=38, iter=24790/40000, loss=0.2349, lr=0.004189, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:16:49 2021-01-17 20:34:17 [INFO] [TRAIN] epoch=38, iter=24800/40000, loss=0.2642, lr=0.004186, batch_cost=0.5352, reader_cost=0.0001 | ETA 02:15:35 2021-01-17 20:34:22 [INFO] [TRAIN] epoch=38, iter=24810/40000, loss=0.2813, lr=0.004184, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:16:20 2021-01-17 20:34:28 [INFO] [TRAIN] epoch=38, iter=24820/40000, loss=0.1754, lr=0.004181, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:16:16 2021-01-17 20:34:33 [INFO] [TRAIN] epoch=38, iter=24830/40000, loss=0.2381, lr=0.004179, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:15:44 2021-01-17 20:34:38 [INFO] [TRAIN] epoch=38, iter=24840/40000, loss=0.2065, lr=0.004176, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:15:58 2021-01-17 20:34:44 [INFO] [TRAIN] epoch=38, iter=24850/40000, loss=0.1762, lr=0.004174, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:15:24 2021-01-17 20:34:49 [INFO] [TRAIN] epoch=38, iter=24860/40000, loss=0.2412, lr=0.004171, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:15:24 2021-01-17 20:34:55 [INFO] [TRAIN] epoch=38, iter=24870/40000, loss=0.2184, lr=0.004169, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:15:13 2021-01-17 20:35:00 [INFO] [TRAIN] epoch=38, iter=24880/40000, loss=0.2613, lr=0.004166, batch_cost=0.5346, reader_cost=0.0001 | ETA 02:14:42 2021-01-17 20:35:05 [INFO] [TRAIN] epoch=38, iter=24890/40000, loss=0.2053, lr=0.004164, batch_cost=0.5362, reader_cost=0.0001 | ETA 02:15:02 2021-01-17 20:35:11 [INFO] [TRAIN] epoch=38, iter=24900/40000, loss=0.2157, lr=0.004162, batch_cost=0.5419, reader_cost=0.0001 | ETA 02:16:22 2021-01-17 20:35:16 [INFO] [TRAIN] epoch=38, iter=24910/40000, loss=0.2646, lr=0.004159, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:15:12 2021-01-17 20:35:21 [INFO] [TRAIN] epoch=38, iter=24920/40000, loss=0.3318, lr=0.004157, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:15:15 2021-01-17 20:35:27 [INFO] [TRAIN] epoch=38, iter=24930/40000, loss=0.1851, lr=0.004154, batch_cost=0.5311, reader_cost=0.0001 | ETA 02:13:23 2021-01-17 20:35:32 [INFO] [TRAIN] epoch=38, iter=24940/40000, loss=0.2043, lr=0.004152, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:14:24 2021-01-17 20:35:37 [INFO] [TRAIN] epoch=38, iter=24950/40000, loss=0.2263, lr=0.004149, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:15:05 2021-01-17 20:35:43 [INFO] [TRAIN] epoch=38, iter=24960/40000, loss=0.2359, lr=0.004147, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:15:17 2021-01-17 20:35:48 [INFO] [TRAIN] epoch=38, iter=24970/40000, loss=0.2734, lr=0.004144, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:15:32 2021-01-17 20:35:54 [INFO] [TRAIN] epoch=38, iter=24980/40000, loss=0.2222, lr=0.004142, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:15:10 2021-01-17 20:35:59 [INFO] [TRAIN] epoch=38, iter=24990/40000, loss=0.2930, lr=0.004139, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:14:49 2021-01-17 20:36:05 [INFO] [TRAIN] epoch=38, iter=25000/40000, loss=0.1841, lr=0.004137, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:15:45 2021-01-17 20:36:05 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 20:36:25 [INFO] [EVAL] #Images=1449 mIoU=0.7993 Acc=0.9544 Kappa=0.8996 2021-01-17 20:36:25 [INFO] [EVAL] Class IoU: [0.9472 0.9043 0.4222 0.9007 0.6948 0.8342 0.9512 0.9059 0.9373 0.4152 0.8879 0.6558 0.9065 0.8971 0.8665 0.8716 0.7108 0.8543 0.5377 0.8971 0.7867] 2021-01-17 20:36:25 [INFO] [EVAL] Class Acc: [0.9704 0.9344 0.4345 0.9402 0.7838 0.8966 0.9819 0.9586 0.9676 0.6686 0.9289 0.878 0.9437 0.9327 0.9297 0.9318 0.8323 0.9378 0.8138 0.9618 0.9377] 2021-01-17 20:36:32 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 20:36:37 [INFO] [TRAIN] epoch=38, iter=25010/40000, loss=0.2499, lr=0.004134, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:14:03 2021-01-17 20:36:42 [INFO] [TRAIN] epoch=38, iter=25020/40000, loss=0.1962, lr=0.004132, batch_cost=0.5345, reader_cost=0.0001 | ETA 02:13:26 2021-01-17 20:36:48 [INFO] [TRAIN] epoch=38, iter=25030/40000, loss=0.3001, lr=0.004129, batch_cost=0.5365, reader_cost=0.0001 | ETA 02:13:51 2021-01-17 20:36:53 [INFO] [TRAIN] epoch=38, iter=25040/40000, loss=0.1770, lr=0.004127, batch_cost=0.5419, reader_cost=0.0001 | ETA 02:15:07 2021-01-17 20:36:59 [INFO] [TRAIN] epoch=38, iter=25050/40000, loss=0.2114, lr=0.004124, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:15:18 2021-01-17 20:37:04 [INFO] [TRAIN] epoch=38, iter=25060/40000, loss=0.2367, lr=0.004122, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:13:58 2021-01-17 20:37:09 [INFO] [TRAIN] epoch=38, iter=25070/40000, loss=0.2756, lr=0.004119, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:14:14 2021-01-17 20:37:15 [INFO] [TRAIN] epoch=38, iter=25080/40000, loss=0.3057, lr=0.004117, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:13:29 2021-01-17 20:37:20 [INFO] [TRAIN] epoch=38, iter=25090/40000, loss=0.2582, lr=0.004114, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:14:22 2021-01-17 20:37:26 [INFO] [TRAIN] epoch=38, iter=25100/40000, loss=0.1924, lr=0.004112, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:14:01 2021-01-17 20:37:31 [INFO] [TRAIN] epoch=38, iter=25110/40000, loss=0.1806, lr=0.004109, batch_cost=0.5324, reader_cost=0.0001 | ETA 02:12:07 2021-01-17 20:37:36 [INFO] [TRAIN] epoch=39, iter=25120/40000, loss=0.2555, lr=0.004107, batch_cost=0.5304, reader_cost=0.0163 | ETA 02:11:32 2021-01-17 20:37:42 [INFO] [TRAIN] epoch=39, iter=25130/40000, loss=0.2740, lr=0.004104, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:13:00 2021-01-17 20:37:47 [INFO] [TRAIN] epoch=39, iter=25140/40000, loss=0.2667, lr=0.004102, batch_cost=0.5373, reader_cost=0.0001 | ETA 02:13:04 2021-01-17 20:37:52 [INFO] [TRAIN] epoch=39, iter=25150/40000, loss=0.2695, lr=0.004099, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:14:04 2021-01-17 20:37:58 [INFO] [TRAIN] epoch=39, iter=25160/40000, loss=0.2277, lr=0.004097, batch_cost=0.5301, reader_cost=0.0001 | ETA 02:11:07 2021-01-17 20:38:03 [INFO] [TRAIN] epoch=39, iter=25170/40000, loss=0.2875, lr=0.004094, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:13:34 2021-01-17 20:38:08 [INFO] [TRAIN] epoch=39, iter=25180/40000, loss=0.1986, lr=0.004092, batch_cost=0.5391, reader_cost=0.0001 | ETA 02:13:09 2021-01-17 20:38:14 [INFO] [TRAIN] epoch=39, iter=25190/40000, loss=0.2134, lr=0.004090, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:12:30 2021-01-17 20:38:19 [INFO] [TRAIN] epoch=39, iter=25200/40000, loss=0.2923, lr=0.004087, batch_cost=0.5417, reader_cost=0.0001 | ETA 02:13:37 2021-01-17 20:38:25 [INFO] [TRAIN] epoch=39, iter=25210/40000, loss=0.2325, lr=0.004085, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:12:19 2021-01-17 20:38:30 [INFO] [TRAIN] epoch=39, iter=25220/40000, loss=0.1765, lr=0.004082, batch_cost=0.5361, reader_cost=0.0001 | ETA 02:12:03 2021-01-17 20:38:35 [INFO] [TRAIN] epoch=39, iter=25230/40000, loss=0.2319, lr=0.004080, batch_cost=0.5440, reader_cost=0.0001 | ETA 02:13:54 2021-01-17 20:38:41 [INFO] [TRAIN] epoch=39, iter=25240/40000, loss=0.2322, lr=0.004077, batch_cost=0.5413, reader_cost=0.0001 | ETA 02:13:10 2021-01-17 20:38:46 [INFO] [TRAIN] epoch=39, iter=25250/40000, loss=0.1875, lr=0.004075, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:12:56 2021-01-17 20:38:52 [INFO] [TRAIN] epoch=39, iter=25260/40000, loss=0.2535, lr=0.004072, batch_cost=0.5343, reader_cost=0.0001 | ETA 02:11:15 2021-01-17 20:38:57 [INFO] [TRAIN] epoch=39, iter=25270/40000, loss=0.1718, lr=0.004070, batch_cost=0.5476, reader_cost=0.0001 | ETA 02:14:26 2021-01-17 20:39:02 [INFO] [TRAIN] epoch=39, iter=25280/40000, loss=0.2106, lr=0.004067, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:12:08 2021-01-17 20:39:08 [INFO] [TRAIN] epoch=39, iter=25290/40000, loss=0.2362, lr=0.004065, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:12:16 2021-01-17 20:39:13 [INFO] [TRAIN] epoch=39, iter=25300/40000, loss=0.2506, lr=0.004062, batch_cost=0.5345, reader_cost=0.0001 | ETA 02:10:57 2021-01-17 20:39:19 [INFO] [TRAIN] epoch=39, iter=25310/40000, loss=0.2467, lr=0.004060, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:12:43 2021-01-17 20:39:24 [INFO] [TRAIN] epoch=39, iter=25320/40000, loss=0.2171, lr=0.004057, batch_cost=0.5364, reader_cost=0.0001 | ETA 02:11:13 2021-01-17 20:39:29 [INFO] [TRAIN] epoch=39, iter=25330/40000, loss=0.2049, lr=0.004055, batch_cost=0.5369, reader_cost=0.0001 | ETA 02:11:16 2021-01-17 20:39:35 [INFO] [TRAIN] epoch=39, iter=25340/40000, loss=0.2237, lr=0.004052, batch_cost=0.5359, reader_cost=0.0001 | ETA 02:10:56 2021-01-17 20:39:40 [INFO] [TRAIN] epoch=39, iter=25350/40000, loss=0.2063, lr=0.004050, batch_cost=0.5377, reader_cost=0.0001 | ETA 02:11:16 2021-01-17 20:39:46 [INFO] [TRAIN] epoch=39, iter=25360/40000, loss=0.2505, lr=0.004047, batch_cost=0.5401, reader_cost=0.0001 | ETA 02:11:47 2021-01-17 20:39:51 [INFO] [TRAIN] epoch=39, iter=25370/40000, loss=0.2080, lr=0.004045, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:11:51 2021-01-17 20:39:56 [INFO] [TRAIN] epoch=39, iter=25380/40000, loss=0.2087, lr=0.004042, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:11:30 2021-01-17 20:40:02 [INFO] [TRAIN] epoch=39, iter=25390/40000, loss=0.3239, lr=0.004040, batch_cost=0.5438, reader_cost=0.0001 | ETA 02:12:25 2021-01-17 20:40:07 [INFO] [TRAIN] epoch=39, iter=25400/40000, loss=0.2568, lr=0.004037, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:10:35 2021-01-17 20:40:12 [INFO] [TRAIN] epoch=39, iter=25410/40000, loss=0.2573, lr=0.004035, batch_cost=0.5336, reader_cost=0.0001 | ETA 02:09:45 2021-01-17 20:40:18 [INFO] [TRAIN] epoch=39, iter=25420/40000, loss=0.2711, lr=0.004032, batch_cost=0.5432, reader_cost=0.0001 | ETA 02:11:59 2021-01-17 20:40:23 [INFO] [TRAIN] epoch=39, iter=25430/40000, loss=0.2427, lr=0.004030, batch_cost=0.5415, reader_cost=0.0001 | ETA 02:11:29 2021-01-17 20:40:29 [INFO] [TRAIN] epoch=39, iter=25440/40000, loss=0.2706, lr=0.004027, batch_cost=0.5392, reader_cost=0.0001 | ETA 02:10:50 2021-01-17 20:40:34 [INFO] [TRAIN] epoch=39, iter=25450/40000, loss=0.2994, lr=0.004025, batch_cost=0.5418, reader_cost=0.0001 | ETA 02:11:23 2021-01-17 20:40:40 [INFO] [TRAIN] epoch=39, iter=25460/40000, loss=0.2404, lr=0.004022, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:10:33 2021-01-17 20:40:45 [INFO] [TRAIN] epoch=39, iter=25470/40000, loss=0.2542, lr=0.004020, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:10:09 2021-01-17 20:40:50 [INFO] [TRAIN] epoch=39, iter=25480/40000, loss=0.3256, lr=0.004017, batch_cost=0.5437, reader_cost=0.0001 | ETA 02:11:33 2021-01-17 20:40:56 [INFO] [TRAIN] epoch=39, iter=25490/40000, loss=0.2830, lr=0.004015, batch_cost=0.5384, reader_cost=0.0001 | ETA 02:10:11 2021-01-17 20:41:01 [INFO] [TRAIN] epoch=39, iter=25500/40000, loss=0.3346, lr=0.004012, batch_cost=0.5422, reader_cost=0.0001 | ETA 02:11:02 2021-01-17 20:41:06 [INFO] [TRAIN] epoch=39, iter=25510/40000, loss=0.2307, lr=0.004010, batch_cost=0.5345, reader_cost=0.0001 | ETA 02:09:04 2021-01-17 20:41:12 [INFO] [TRAIN] epoch=39, iter=25520/40000, loss=0.2065, lr=0.004007, batch_cost=0.5355, reader_cost=0.0001 | ETA 02:09:13 2021-01-17 20:41:17 [INFO] [TRAIN] epoch=39, iter=25530/40000, loss=0.2287, lr=0.004005, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:09:54 2021-01-17 20:41:23 [INFO] [TRAIN] epoch=39, iter=25540/40000, loss=0.3148, lr=0.004002, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:10:18 2021-01-17 20:41:28 [INFO] [TRAIN] epoch=39, iter=25550/40000, loss=0.2547, lr=0.004000, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:09:55 2021-01-17 20:41:33 [INFO] [TRAIN] epoch=39, iter=25560/40000, loss=0.1910, lr=0.003997, batch_cost=0.5341, reader_cost=0.0001 | ETA 02:08:32 2021-01-17 20:41:39 [INFO] [TRAIN] epoch=39, iter=25570/40000, loss=0.2218, lr=0.003995, batch_cost=0.5430, reader_cost=0.0001 | ETA 02:10:35 2021-01-17 20:41:44 [INFO] [TRAIN] epoch=39, iter=25580/40000, loss=0.2169, lr=0.003992, batch_cost=0.5361, reader_cost=0.0001 | ETA 02:08:50 2021-01-17 20:41:50 [INFO] [TRAIN] epoch=39, iter=25590/40000, loss=0.1835, lr=0.003990, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:08:53 2021-01-17 20:41:55 [INFO] [TRAIN] epoch=39, iter=25600/40000, loss=0.2275, lr=0.003987, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:09:38 2021-01-17 20:42:00 [INFO] [TRAIN] epoch=39, iter=25610/40000, loss=0.2992, lr=0.003985, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:09:15 2021-01-17 20:42:06 [INFO] [TRAIN] epoch=39, iter=25620/40000, loss=0.2412, lr=0.003983, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:09:09 2021-01-17 20:42:11 [INFO] [TRAIN] epoch=39, iter=25630/40000, loss=0.1863, lr=0.003980, batch_cost=0.5411, reader_cost=0.0001 | ETA 02:09:35 2021-01-17 20:42:17 [INFO] [TRAIN] epoch=39, iter=25640/40000, loss=0.2257, lr=0.003978, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:09:46 2021-01-17 20:42:22 [INFO] [TRAIN] epoch=39, iter=25650/40000, loss=0.2425, lr=0.003975, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:08:38 2021-01-17 20:42:27 [INFO] [TRAIN] epoch=39, iter=25660/40000, loss=0.3353, lr=0.003973, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:09:15 2021-01-17 20:42:33 [INFO] [TRAIN] epoch=39, iter=25670/40000, loss=0.2459, lr=0.003970, batch_cost=0.5353, reader_cost=0.0001 | ETA 02:07:51 2021-01-17 20:42:38 [INFO] [TRAIN] epoch=39, iter=25680/40000, loss=0.2008, lr=0.003968, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:08:35 2021-01-17 20:42:43 [INFO] [TRAIN] epoch=39, iter=25690/40000, loss=0.2207, lr=0.003965, batch_cost=0.5372, reader_cost=0.0001 | ETA 02:08:06 2021-01-17 20:42:49 [INFO] [TRAIN] epoch=39, iter=25700/40000, loss=0.1836, lr=0.003963, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:09:22 2021-01-17 20:42:54 [INFO] [TRAIN] epoch=39, iter=25710/40000, loss=0.2234, lr=0.003960, batch_cost=0.5349, reader_cost=0.0001 | ETA 02:07:23 2021-01-17 20:43:00 [INFO] [TRAIN] epoch=39, iter=25720/40000, loss=0.2273, lr=0.003958, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:07:45 2021-01-17 20:43:05 [INFO] [TRAIN] epoch=39, iter=25730/40000, loss=0.1810, lr=0.003955, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:07:54 2021-01-17 20:43:10 [INFO] [TRAIN] epoch=39, iter=25740/40000, loss=0.1604, lr=0.003953, batch_cost=0.5366, reader_cost=0.0001 | ETA 02:07:31 2021-01-17 20:43:16 [INFO] [TRAIN] epoch=39, iter=25750/40000, loss=0.3514, lr=0.003950, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:08:05 2021-01-17 20:43:21 [INFO] [TRAIN] epoch=39, iter=25760/40000, loss=0.2126, lr=0.003948, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:08:04 2021-01-17 20:43:27 [INFO] [TRAIN] epoch=39, iter=25770/40000, loss=0.2673, lr=0.003945, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:07:34 2021-01-17 20:43:32 [INFO] [TRAIN] epoch=40, iter=25780/40000, loss=0.2446, lr=0.003943, batch_cost=0.5323, reader_cost=0.0139 | ETA 02:06:09 2021-01-17 20:43:37 [INFO] [TRAIN] epoch=40, iter=25790/40000, loss=0.2235, lr=0.003940, batch_cost=0.5438, reader_cost=0.0001 | ETA 02:08:47 2021-01-17 20:43:43 [INFO] [TRAIN] epoch=40, iter=25800/40000, loss=0.2001, lr=0.003938, batch_cost=0.5356, reader_cost=0.0001 | ETA 02:06:45 2021-01-17 20:43:48 [INFO] [TRAIN] epoch=40, iter=25810/40000, loss=0.2077, lr=0.003935, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:07:16 2021-01-17 20:43:53 [INFO] [TRAIN] epoch=40, iter=25820/40000, loss=0.1917, lr=0.003933, batch_cost=0.5367, reader_cost=0.0001 | ETA 02:06:50 2021-01-17 20:43:59 [INFO] [TRAIN] epoch=40, iter=25830/40000, loss=0.2724, lr=0.003930, batch_cost=0.5406, reader_cost=0.0001 | ETA 02:07:40 2021-01-17 20:44:04 [INFO] [TRAIN] epoch=40, iter=25840/40000, loss=0.3008, lr=0.003928, batch_cost=0.5388, reader_cost=0.0001 | ETA 02:07:09 2021-01-17 20:44:10 [INFO] [TRAIN] epoch=40, iter=25850/40000, loss=0.2776, lr=0.003925, batch_cost=0.5375, reader_cost=0.0001 | ETA 02:06:45 2021-01-17 20:44:15 [INFO] [TRAIN] epoch=40, iter=25860/40000, loss=0.2899, lr=0.003923, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:06:45 2021-01-17 20:44:20 [INFO] [TRAIN] epoch=40, iter=25870/40000, loss=0.2990, lr=0.003920, batch_cost=0.5386, reader_cost=0.0001 | ETA 02:06:50 2021-01-17 20:44:26 [INFO] [TRAIN] epoch=40, iter=25880/40000, loss=0.2824, lr=0.003918, batch_cost=0.5396, reader_cost=0.0001 | ETA 02:06:59 2021-01-17 20:44:31 [INFO] [TRAIN] epoch=40, iter=25890/40000, loss=0.2064, lr=0.003915, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:06:27 2021-01-17 20:44:37 [INFO] [TRAIN] epoch=40, iter=25900/40000, loss=0.2037, lr=0.003913, batch_cost=0.5429, reader_cost=0.0001 | ETA 02:07:34 2021-01-17 20:44:42 [INFO] [TRAIN] epoch=40, iter=25910/40000, loss=0.2123, lr=0.003910, batch_cost=0.5357, reader_cost=0.0001 | ETA 02:05:47 2021-01-17 20:44:47 [INFO] [TRAIN] epoch=40, iter=25920/40000, loss=0.2093, lr=0.003908, batch_cost=0.5408, reader_cost=0.0001 | ETA 02:06:54 2021-01-17 20:44:53 [INFO] [TRAIN] epoch=40, iter=25930/40000, loss=0.2604, lr=0.003905, batch_cost=0.5414, reader_cost=0.0001 | ETA 02:06:56 2021-01-17 20:44:58 [INFO] [TRAIN] epoch=40, iter=25940/40000, loss=0.2831, lr=0.003903, batch_cost=0.5373, reader_cost=0.0001 | ETA 02:05:54 2021-01-17 20:45:03 [INFO] [TRAIN] epoch=40, iter=25950/40000, loss=0.2777, lr=0.003900, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:06:29 2021-01-17 20:45:09 [INFO] [TRAIN] epoch=40, iter=25960/40000, loss=0.2442, lr=0.003898, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:05:37 2021-01-17 20:45:14 [INFO] [TRAIN] epoch=40, iter=25970/40000, loss=0.2212, lr=0.003895, batch_cost=0.5335, reader_cost=0.0001 | ETA 02:04:45 2021-01-17 20:45:20 [INFO] [TRAIN] epoch=40, iter=25980/40000, loss=0.2479, lr=0.003893, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:06:15 2021-01-17 20:45:25 [INFO] [TRAIN] epoch=40, iter=25990/40000, loss=0.1919, lr=0.003890, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:06:09 2021-01-17 20:45:30 [INFO] [TRAIN] epoch=40, iter=26000/40000, loss=0.2766, lr=0.003888, batch_cost=0.5443, reader_cost=0.0001 | ETA 02:06:59 2021-01-17 20:45:30 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 20:45:50 [INFO] [EVAL] #Images=1449 mIoU=0.7931 Acc=0.9536 Kappa=0.8967 2021-01-17 20:45:50 [INFO] [EVAL] Class IoU: [0.9464 0.9046 0.4345 0.8891 0.7426 0.8403 0.9511 0.9007 0.9347 0.438 0.9056 0.5437 0.911 0.8978 0.8809 0.8751 0.6402 0.8629 0.498 0.8897 0.7686] 2021-01-17 20:45:50 [INFO] [EVAL] Class Acc: [0.9654 0.9322 0.4521 0.9731 0.866 0.906 0.9859 0.9568 0.9738 0.6693 0.9573 0.8629 0.9463 0.9468 0.9316 0.9389 0.8359 0.9375 0.832 0.9703 0.9349] 2021-01-17 20:45:54 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 20:46:00 [INFO] [TRAIN] epoch=40, iter=26010/40000, loss=0.2052, lr=0.003885, batch_cost=0.5351, reader_cost=0.0001 | ETA 02:04:46 2021-01-17 20:46:05 [INFO] [TRAIN] epoch=40, iter=26020/40000, loss=0.2239, lr=0.003883, batch_cost=0.5342, reader_cost=0.0001 | ETA 02:04:27 2021-01-17 20:46:10 [INFO] [TRAIN] epoch=40, iter=26030/40000, loss=0.2936, lr=0.003880, batch_cost=0.5335, reader_cost=0.0001 | ETA 02:04:13 2021-01-17 20:46:16 [INFO] [TRAIN] epoch=40, iter=26040/40000, loss=0.2569, lr=0.003878, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:05:55 2021-01-17 20:46:21 [INFO] [TRAIN] epoch=40, iter=26050/40000, loss=0.2298, lr=0.003875, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:06:07 2021-01-17 20:46:27 [INFO] [TRAIN] epoch=40, iter=26060/40000, loss=0.1764, lr=0.003873, batch_cost=0.5428, reader_cost=0.0001 | ETA 02:06:07 2021-01-17 20:46:32 [INFO] [TRAIN] epoch=40, iter=26070/40000, loss=0.2715, lr=0.003870, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:04:51 2021-01-17 20:46:37 [INFO] [TRAIN] epoch=40, iter=26080/40000, loss=0.2224, lr=0.003868, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:05:33 2021-01-17 20:46:43 [INFO] [TRAIN] epoch=40, iter=26090/40000, loss=0.2316, lr=0.003865, batch_cost=0.5409, reader_cost=0.0001 | ETA 02:05:23 2021-01-17 20:46:48 [INFO] [TRAIN] epoch=40, iter=26100/40000, loss=0.2266, lr=0.003863, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:05:40 2021-01-17 20:46:54 [INFO] [TRAIN] epoch=40, iter=26110/40000, loss=0.2211, lr=0.003860, batch_cost=0.5405, reader_cost=0.0001 | ETA 02:05:08 2021-01-17 20:46:59 [INFO] [TRAIN] epoch=40, iter=26120/40000, loss=0.2117, lr=0.003858, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:05:44 2021-01-17 20:47:05 [INFO] [TRAIN] epoch=40, iter=26130/40000, loss=0.2369, lr=0.003855, batch_cost=0.5403, reader_cost=0.0001 | ETA 02:04:53 2021-01-17 20:47:10 [INFO] [TRAIN] epoch=40, iter=26140/40000, loss=0.2504, lr=0.003853, batch_cost=0.5378, reader_cost=0.0001 | ETA 02:04:13 2021-01-17 20:47:15 [INFO] [TRAIN] epoch=40, iter=26150/40000, loss=0.2257, lr=0.003850, batch_cost=0.5402, reader_cost=0.0001 | ETA 02:04:41 2021-01-17 20:47:21 [INFO] [TRAIN] epoch=40, iter=26160/40000, loss=0.2382, lr=0.003848, batch_cost=0.5363, reader_cost=0.0001 | ETA 02:03:42 2021-01-17 20:47:26 [INFO] [TRAIN] epoch=40, iter=26170/40000, loss=0.2453, lr=0.003845, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:04:27 2021-01-17 20:47:31 [INFO] [TRAIN] epoch=40, iter=26180/40000, loss=0.1933, lr=0.003843, batch_cost=0.5376, reader_cost=0.0001 | ETA 02:03:50 2021-01-17 20:47:37 [INFO] [TRAIN] epoch=40, iter=26190/40000, loss=0.2865, lr=0.003840, batch_cost=0.5425, reader_cost=0.0001 | ETA 02:04:52 2021-01-17 20:47:42 [INFO] [TRAIN] epoch=40, iter=26200/40000, loss=0.2014, lr=0.003838, batch_cost=0.5415, reader_cost=0.0001 | ETA 02:04:32 2021-01-17 20:47:48 [INFO] [TRAIN] epoch=40, iter=26210/40000, loss=0.3419, lr=0.003835, batch_cost=0.5399, reader_cost=0.0001 | ETA 02:04:05 2021-01-17 20:47:53 [INFO] [TRAIN] epoch=40, iter=26220/40000, loss=0.2658, lr=0.003833, batch_cost=0.5352, reader_cost=0.0001 | ETA 02:02:55 2021-01-17 20:47:58 [INFO] [TRAIN] epoch=40, iter=26230/40000, loss=0.2692, lr=0.003830, batch_cost=0.5364, reader_cost=0.0001 | ETA 02:03:06 2021-01-17 20:48:04 [INFO] [TRAIN] epoch=40, iter=26240/40000, loss=0.3101, lr=0.003828, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:03:25 2021-01-17 20:48:09 [INFO] [TRAIN] epoch=40, iter=26250/40000, loss=0.1652, lr=0.003825, batch_cost=0.5338, reader_cost=0.0001 | ETA 02:02:19 2021-01-17 20:48:15 [INFO] [TRAIN] epoch=40, iter=26260/40000, loss=0.2472, lr=0.003823, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:03:13 2021-01-17 20:48:20 [INFO] [TRAIN] epoch=40, iter=26270/40000, loss=0.1982, lr=0.003820, batch_cost=0.5412, reader_cost=0.0001 | ETA 02:03:51 2021-01-17 20:48:25 [INFO] [TRAIN] epoch=40, iter=26280/40000, loss=0.2365, lr=0.003818, batch_cost=0.5373, reader_cost=0.0001 | ETA 02:02:52 2021-01-17 20:48:31 [INFO] [TRAIN] epoch=40, iter=26290/40000, loss=0.1971, lr=0.003815, batch_cost=0.5427, reader_cost=0.0001 | ETA 02:04:00 2021-01-17 20:48:36 [INFO] [TRAIN] epoch=40, iter=26300/40000, loss=0.2188, lr=0.003813, batch_cost=0.5397, reader_cost=0.0001 | ETA 02:03:14 2021-01-17 20:48:42 [INFO] [TRAIN] epoch=40, iter=26310/40000, loss=0.2689, lr=0.003810, batch_cost=0.5368, reader_cost=0.0001 | ETA 02:02:28 2021-01-17 20:48:47 [INFO] [TRAIN] epoch=40, iter=26320/40000, loss=0.2425, lr=0.003808, batch_cost=0.5389, reader_cost=0.0001 | ETA 02:02:52 2021-01-17 20:48:52 [INFO] [TRAIN] epoch=40, iter=26330/40000, loss=0.2196, lr=0.003805, batch_cost=0.5400, reader_cost=0.0001 | ETA 02:03:01 2021-01-17 20:48:58 [INFO] [TRAIN] epoch=40, iter=26340/40000, loss=0.2220, lr=0.003803, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:02:49 2021-01-17 20:49:03 [INFO] [TRAIN] epoch=40, iter=26350/40000, loss=0.2173, lr=0.003800, batch_cost=0.5435, reader_cost=0.0001 | ETA 02:03:39 2021-01-17 20:49:09 [INFO] [TRAIN] epoch=40, iter=26360/40000, loss=0.2557, lr=0.003798, batch_cost=0.5380, reader_cost=0.0001 | ETA 02:02:18 2021-01-17 20:49:14 [INFO] [TRAIN] epoch=40, iter=26370/40000, loss=0.2374, lr=0.003795, batch_cost=0.5379, reader_cost=0.0001 | ETA 02:02:11 2021-01-17 20:49:19 [INFO] [TRAIN] epoch=40, iter=26380/40000, loss=0.1708, lr=0.003793, batch_cost=0.5317, reader_cost=0.0001 | ETA 02:00:41 2021-01-17 20:49:25 [INFO] [TRAIN] epoch=40, iter=26390/40000, loss=0.2368, lr=0.003790, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:02:34 2021-01-17 20:49:30 [INFO] [TRAIN] epoch=40, iter=26400/40000, loss=0.1859, lr=0.003788, batch_cost=0.5423, reader_cost=0.0001 | ETA 02:02:55 2021-01-17 20:49:35 [INFO] [TRAIN] epoch=40, iter=26410/40000, loss=0.1755, lr=0.003785, batch_cost=0.5387, reader_cost=0.0001 | ETA 02:02:00 2021-01-17 20:49:41 [INFO] [TRAIN] epoch=40, iter=26420/40000, loss=0.2013, lr=0.003783, batch_cost=0.5410, reader_cost=0.0001 | ETA 02:02:27 2021-01-17 20:49:46 [INFO] [TRAIN] epoch=40, iter=26430/40000, loss=0.2685, lr=0.003780, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:01:41 2021-01-17 20:49:51 [INFO] [TRAIN] epoch=40, iter=26440/40000, loss=0.1662, lr=0.003778, batch_cost=0.5141, reader_cost=0.0001 | ETA 01:56:11 2021-01-17 20:49:57 [INFO] [TRAIN] epoch=41, iter=26450/40000, loss=0.2445, lr=0.003775, batch_cost=0.5553, reader_cost=0.0164 | ETA 02:05:23 2021-01-17 20:50:02 [INFO] [TRAIN] epoch=41, iter=26460/40000, loss=0.2201, lr=0.003773, batch_cost=0.5398, reader_cost=0.0001 | ETA 02:01:49 2021-01-17 20:50:08 [INFO] [TRAIN] epoch=41, iter=26470/40000, loss=0.3066, lr=0.003770, batch_cost=0.5327, reader_cost=0.0001 | ETA 02:00:07 2021-01-17 20:50:13 [INFO] [TRAIN] epoch=41, iter=26480/40000, loss=0.3715, lr=0.003768, batch_cost=0.5416, reader_cost=0.0001 | ETA 02:02:02 2021-01-17 20:50:19 [INFO] [TRAIN] epoch=41, iter=26490/40000, loss=0.1962, lr=0.003765, batch_cost=0.5447, reader_cost=0.0001 | ETA 02:02:38 2021-01-17 20:50:24 [INFO] [TRAIN] epoch=41, iter=26500/40000, loss=0.2216, lr=0.003762, batch_cost=0.5422, reader_cost=0.0001 | ETA 02:01:59 2021-01-17 20:50:29 [INFO] [TRAIN] epoch=41, iter=26510/40000, loss=0.1197, lr=0.003760, batch_cost=0.5393, reader_cost=0.0001 | ETA 02:01:14 2021-01-17 20:50:35 [INFO] [TRAIN] epoch=41, iter=26520/40000, loss=0.2424, lr=0.003757, batch_cost=0.5360, reader_cost=0.0001 | ETA 02:00:24 2021-01-17 20:50:40 [INFO] [TRAIN] epoch=41, iter=26530/40000, loss=0.2378, lr=0.003755, batch_cost=0.5390, reader_cost=0.0001 | ETA 02:01:00 2021-01-17 20:50:45 [INFO] [TRAIN] epoch=41, iter=26540/40000, loss=0.2149, lr=0.003752, batch_cost=0.5382, reader_cost=0.0001 | ETA 02:00:43 2021-01-17 20:50:51 [INFO] [TRAIN] epoch=41, iter=26550/40000, loss=0.2684, lr=0.003750, batch_cost=0.5446, reader_cost=0.0001 | ETA 02:02:04 2021-01-17 20:50:56 [INFO] [TRAIN] epoch=41, iter=26560/40000, loss=0.2001, lr=0.003747, batch_cost=0.5404, reader_cost=0.0001 | ETA 02:01:02 2021-01-17 20:51:02 [INFO] [TRAIN] epoch=41, iter=26570/40000, loss=0.2741, lr=0.003745, batch_cost=0.5370, reader_cost=0.0001 | ETA 02:00:12 2021-01-17 20:51:07 [INFO] [TRAIN] epoch=41, iter=26580/40000, loss=0.2661, lr=0.003742, batch_cost=0.5424, reader_cost=0.0001 | ETA 02:01:19 2021-01-17 20:51:13 [INFO] [TRAIN] epoch=41, iter=26590/40000, loss=0.2500, lr=0.003740, batch_cost=0.5395, reader_cost=0.0001 | ETA 02:00:35 2021-01-17 20:51:18 [INFO] [TRAIN] epoch=41, iter=26600/40000, loss=0.1905, lr=0.003737, batch_cost=0.5421, reader_cost=0.0001 | ETA 02:01:04 2021-01-17 20:51:23 [INFO] [TRAIN] epoch=41, iter=26610/40000, loss=0.2552, lr=0.003735, batch_cost=0.5381, reader_cost=0.0001 | ETA 02:00:04 2021-01-17 20:51:29 [INFO] [TRAIN] epoch=41, iter=26620/40000, loss=0.2238, lr=0.003732, batch_cost=0.5426, reader_cost=0.0001 | ETA 02:00:59 2021-01-17 20:51:34 [INFO] [TRAIN] epoch=41, iter=26630/40000, loss=0.2039, lr=0.003730, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:59:25 2021-01-17 20:51:39 [INFO] [TRAIN] epoch=41, iter=26640/40000, loss=0.2254, lr=0.003727, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:59:02 2021-01-17 20:51:45 [INFO] [TRAIN] epoch=41, iter=26650/40000, loss=0.1876, lr=0.003725, batch_cost=0.5427, reader_cost=0.0001 | ETA 02:00:45 2021-01-17 20:51:50 [INFO] [TRAIN] epoch=41, iter=26660/40000, loss=0.2833, lr=0.003722, batch_cost=0.5407, reader_cost=0.0001 | ETA 02:00:12 2021-01-17 20:51:56 [INFO] [TRAIN] epoch=41, iter=26670/40000, loss=0.2376, lr=0.003720, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:59:22 2021-01-17 20:52:01 [INFO] [TRAIN] epoch=41, iter=26680/40000, loss=0.2057, lr=0.003717, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:59:46 2021-01-17 20:52:06 [INFO] [TRAIN] epoch=41, iter=26690/40000, loss=0.1622, lr=0.003715, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:59:00 2021-01-17 20:52:12 [INFO] [TRAIN] epoch=41, iter=26700/40000, loss=0.2395, lr=0.003712, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:59:51 2021-01-17 20:52:17 [INFO] [TRAIN] epoch=41, iter=26710/40000, loss=0.2305, lr=0.003710, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:59:03 2021-01-17 20:52:23 [INFO] [TRAIN] epoch=41, iter=26720/40000, loss=0.1573, lr=0.003707, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:59:31 2021-01-17 20:52:28 [INFO] [TRAIN] epoch=41, iter=26730/40000, loss=0.3062, lr=0.003705, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:59:06 2021-01-17 20:52:33 [INFO] [TRAIN] epoch=41, iter=26740/40000, loss=0.2695, lr=0.003702, batch_cost=0.5425, reader_cost=0.0001 | ETA 01:59:52 2021-01-17 20:52:39 [INFO] [TRAIN] epoch=41, iter=26750/40000, loss=0.2502, lr=0.003700, batch_cost=0.5380, reader_cost=0.0001 | ETA 01:58:47 2021-01-17 20:52:44 [INFO] [TRAIN] epoch=41, iter=26760/40000, loss=0.2746, lr=0.003697, batch_cost=0.5357, reader_cost=0.0001 | ETA 01:58:12 2021-01-17 20:52:50 [INFO] [TRAIN] epoch=41, iter=26770/40000, loss=0.2180, lr=0.003695, batch_cost=0.5429, reader_cost=0.0001 | ETA 01:59:42 2021-01-17 20:52:55 [INFO] [TRAIN] epoch=41, iter=26780/40000, loss=0.2399, lr=0.003692, batch_cost=0.5438, reader_cost=0.0001 | ETA 01:59:48 2021-01-17 20:53:00 [INFO] [TRAIN] epoch=41, iter=26790/40000, loss=0.2574, lr=0.003690, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:58:45 2021-01-17 20:53:06 [INFO] [TRAIN] epoch=41, iter=26800/40000, loss=0.3043, lr=0.003687, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:57:35 2021-01-17 20:53:11 [INFO] [TRAIN] epoch=41, iter=26810/40000, loss=0.2634, lr=0.003685, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:58:10 2021-01-17 20:53:17 [INFO] [TRAIN] epoch=41, iter=26820/40000, loss=0.2116, lr=0.003682, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:58:39 2021-01-17 20:53:22 [INFO] [TRAIN] epoch=41, iter=26830/40000, loss=0.2055, lr=0.003680, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:58:00 2021-01-17 20:53:27 [INFO] [TRAIN] epoch=41, iter=26840/40000, loss=0.1985, lr=0.003677, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:58:35 2021-01-17 20:53:33 [INFO] [TRAIN] epoch=41, iter=26850/40000, loss=0.2148, lr=0.003675, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:58:03 2021-01-17 20:53:38 [INFO] [TRAIN] epoch=41, iter=26860/40000, loss=0.1791, lr=0.003672, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:58:03 2021-01-17 20:53:43 [INFO] [TRAIN] epoch=41, iter=26870/40000, loss=0.2081, lr=0.003670, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:58:19 2021-01-17 20:53:49 [INFO] [TRAIN] epoch=41, iter=26880/40000, loss=0.2556, lr=0.003667, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:57:28 2021-01-17 20:53:54 [INFO] [TRAIN] epoch=41, iter=26890/40000, loss=0.2102, lr=0.003665, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:57:51 2021-01-17 20:54:00 [INFO] [TRAIN] epoch=41, iter=26900/40000, loss=0.2337, lr=0.003662, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:57:22 2021-01-17 20:54:05 [INFO] [TRAIN] epoch=41, iter=26910/40000, loss=0.1523, lr=0.003659, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:57:13 2021-01-17 20:54:10 [INFO] [TRAIN] epoch=41, iter=26920/40000, loss=0.1947, lr=0.003657, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:57:19 2021-01-17 20:54:16 [INFO] [TRAIN] epoch=41, iter=26930/40000, loss=0.2056, lr=0.003654, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:56:26 2021-01-17 20:54:21 [INFO] [TRAIN] epoch=41, iter=26940/40000, loss=0.1982, lr=0.003652, batch_cost=0.5404, reader_cost=0.0001 | ETA 01:57:37 2021-01-17 20:54:26 [INFO] [TRAIN] epoch=41, iter=26950/40000, loss=0.1832, lr=0.003649, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:56:16 2021-01-17 20:54:32 [INFO] [TRAIN] epoch=41, iter=26960/40000, loss=0.2347, lr=0.003647, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:57:37 2021-01-17 20:54:37 [INFO] [TRAIN] epoch=41, iter=26970/40000, loss=0.2692, lr=0.003644, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:57:25 2021-01-17 20:54:43 [INFO] [TRAIN] epoch=41, iter=26980/40000, loss=0.3068, lr=0.003642, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:56:21 2021-01-17 20:54:48 [INFO] [TRAIN] epoch=41, iter=26990/40000, loss=0.2346, lr=0.003639, batch_cost=0.5339, reader_cost=0.0001 | ETA 01:55:46 2021-01-17 20:54:53 [INFO] [TRAIN] epoch=41, iter=27000/40000, loss=0.2530, lr=0.003637, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:57:01 2021-01-17 20:54:53 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 20:55:14 [INFO] [EVAL] #Images=1449 mIoU=0.7990 Acc=0.9553 Kappa=0.9005 2021-01-17 20:55:14 [INFO] [EVAL] Class IoU: [0.9477 0.9061 0.4327 0.9022 0.7043 0.8506 0.9534 0.9076 0.9445 0.4525 0.9075 0.5563 0.9109 0.8873 0.8872 0.8742 0.6554 0.8869 0.557 0.9078 0.7475] 2021-01-17 20:55:14 [INFO] [EVAL] Class Acc: [0.9664 0.9369 0.4545 0.939 0.8146 0.9165 0.9796 0.9627 0.972 0.7198 0.9648 0.9188 0.9496 0.9507 0.9384 0.947 0.8465 0.9498 0.8204 0.9601 0.9347] 2021-01-17 20:55:18 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 20:55:23 [INFO] [TRAIN] epoch=41, iter=27010/40000, loss=0.1747, lr=0.003634, batch_cost=0.5337, reader_cost=0.0001 | ETA 01:55:32 2021-01-17 20:55:29 [INFO] [TRAIN] epoch=41, iter=27020/40000, loss=0.3181, lr=0.003632, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:56:18 2021-01-17 20:55:34 [INFO] [TRAIN] epoch=41, iter=27030/40000, loss=0.1996, lr=0.003629, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:56:43 2021-01-17 20:55:40 [INFO] [TRAIN] epoch=41, iter=27040/40000, loss=0.2919, lr=0.003627, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:56:49 2021-01-17 20:55:45 [INFO] [TRAIN] epoch=41, iter=27050/40000, loss=0.2575, lr=0.003624, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:56:41 2021-01-17 20:55:50 [INFO] [TRAIN] epoch=41, iter=27060/40000, loss=0.2768, lr=0.003622, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:56:43 2021-01-17 20:55:56 [INFO] [TRAIN] epoch=41, iter=27070/40000, loss=0.2458, lr=0.003619, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:56:32 2021-01-17 20:56:01 [INFO] [TRAIN] epoch=41, iter=27080/40000, loss=0.2281, lr=0.003617, batch_cost=0.5425, reader_cost=0.0001 | ETA 01:56:48 2021-01-17 20:56:07 [INFO] [TRAIN] epoch=41, iter=27090/40000, loss=0.2682, lr=0.003614, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:55:09 2021-01-17 20:56:12 [INFO] [TRAIN] epoch=41, iter=27100/40000, loss=0.2801, lr=0.003612, batch_cost=0.5233, reader_cost=0.0001 | ETA 01:52:30 2021-01-17 20:56:17 [INFO] [TRAIN] epoch=42, iter=27110/40000, loss=0.2314, lr=0.003609, batch_cost=0.5467, reader_cost=0.0172 | ETA 01:57:26 2021-01-17 20:56:23 [INFO] [TRAIN] epoch=42, iter=27120/40000, loss=0.2263, lr=0.003607, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:55:55 2021-01-17 20:56:28 [INFO] [TRAIN] epoch=42, iter=27130/40000, loss=0.1971, lr=0.003604, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:55:43 2021-01-17 20:56:33 [INFO] [TRAIN] epoch=42, iter=27140/40000, loss=0.2460, lr=0.003602, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:55:59 2021-01-17 20:56:39 [INFO] [TRAIN] epoch=42, iter=27150/40000, loss=0.1915, lr=0.003599, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:56:22 2021-01-17 20:56:44 [INFO] [TRAIN] epoch=42, iter=27160/40000, loss=0.1847, lr=0.003597, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:55:57 2021-01-17 20:56:50 [INFO] [TRAIN] epoch=42, iter=27170/40000, loss=0.2328, lr=0.003594, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:55:48 2021-01-17 20:56:55 [INFO] [TRAIN] epoch=42, iter=27180/40000, loss=0.1868, lr=0.003591, batch_cost=0.5336, reader_cost=0.0001 | ETA 01:54:00 2021-01-17 20:57:00 [INFO] [TRAIN] epoch=42, iter=27190/40000, loss=0.2653, lr=0.003589, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:54:55 2021-01-17 20:57:06 [INFO] [TRAIN] epoch=42, iter=27200/40000, loss=0.2067, lr=0.003586, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:54:55 2021-01-17 20:57:11 [INFO] [TRAIN] epoch=42, iter=27210/40000, loss=0.2454, lr=0.003584, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:55:15 2021-01-17 20:57:17 [INFO] [TRAIN] epoch=42, iter=27220/40000, loss=0.2286, lr=0.003581, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:55:05 2021-01-17 20:57:22 [INFO] [TRAIN] epoch=42, iter=27230/40000, loss=0.2038, lr=0.003579, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:55:02 2021-01-17 20:57:27 [INFO] [TRAIN] epoch=42, iter=27240/40000, loss=0.1723, lr=0.003576, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:55:03 2021-01-17 20:57:33 [INFO] [TRAIN] epoch=42, iter=27250/40000, loss=0.1541, lr=0.003574, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:54:54 2021-01-17 20:57:38 [INFO] [TRAIN] epoch=42, iter=27260/40000, loss=0.4000, lr=0.003571, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:53:52 2021-01-17 20:57:44 [INFO] [TRAIN] epoch=42, iter=27270/40000, loss=0.2055, lr=0.003569, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:54:45 2021-01-17 20:57:49 [INFO] [TRAIN] epoch=42, iter=27280/40000, loss=0.2468, lr=0.003566, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:53:41 2021-01-17 20:57:54 [INFO] [TRAIN] epoch=42, iter=27290/40000, loss=0.1709, lr=0.003564, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:54:41 2021-01-17 20:58:00 [INFO] [TRAIN] epoch=42, iter=27300/40000, loss=0.2083, lr=0.003561, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:54:08 2021-01-17 20:58:05 [INFO] [TRAIN] epoch=42, iter=27310/40000, loss=0.2090, lr=0.003559, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:54:23 2021-01-17 20:58:11 [INFO] [TRAIN] epoch=42, iter=27320/40000, loss=0.2365, lr=0.003556, batch_cost=0.5355, reader_cost=0.0001 | ETA 01:53:10 2021-01-17 20:58:16 [INFO] [TRAIN] epoch=42, iter=27330/40000, loss=0.2107, lr=0.003554, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:53:18 2021-01-17 20:58:21 [INFO] [TRAIN] epoch=42, iter=27340/40000, loss=0.1825, lr=0.003551, batch_cost=0.5419, reader_cost=0.0001 | ETA 01:54:20 2021-01-17 20:58:27 [INFO] [TRAIN] epoch=42, iter=27350/40000, loss=0.2849, lr=0.003549, batch_cost=0.5456, reader_cost=0.0001 | ETA 01:55:02 2021-01-17 20:58:32 [INFO] [TRAIN] epoch=42, iter=27360/40000, loss=0.2144, lr=0.003546, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:53:37 2021-01-17 20:58:38 [INFO] [TRAIN] epoch=42, iter=27370/40000, loss=0.2231, lr=0.003544, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:52:44 2021-01-17 20:58:43 [INFO] [TRAIN] epoch=42, iter=27380/40000, loss=0.2195, lr=0.003541, batch_cost=0.5398, reader_cost=0.0001 | ETA 01:53:32 2021-01-17 20:58:48 [INFO] [TRAIN] epoch=42, iter=27390/40000, loss=0.2645, lr=0.003539, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:53:16 2021-01-17 20:58:54 [INFO] [TRAIN] epoch=42, iter=27400/40000, loss=0.2442, lr=0.003536, batch_cost=0.5366, reader_cost=0.0001 | ETA 01:52:40 2021-01-17 20:58:59 [INFO] [TRAIN] epoch=42, iter=27410/40000, loss=0.1958, lr=0.003533, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:52:48 2021-01-17 20:59:04 [INFO] [TRAIN] epoch=42, iter=27420/40000, loss=0.2555, lr=0.003531, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:52:09 2021-01-17 20:59:10 [INFO] [TRAIN] epoch=42, iter=27430/40000, loss=0.2252, lr=0.003528, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:52:47 2021-01-17 20:59:15 [INFO] [TRAIN] epoch=42, iter=27440/40000, loss=0.1810, lr=0.003526, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:53:05 2021-01-17 20:59:21 [INFO] [TRAIN] epoch=42, iter=27450/40000, loss=0.1761, lr=0.003523, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:52:24 2021-01-17 20:59:26 [INFO] [TRAIN] epoch=42, iter=27460/40000, loss=0.1848, lr=0.003521, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:53:08 2021-01-17 20:59:31 [INFO] [TRAIN] epoch=42, iter=27470/40000, loss=0.1972, lr=0.003518, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:52:33 2021-01-17 20:59:37 [INFO] [TRAIN] epoch=42, iter=27480/40000, loss=0.2339, lr=0.003516, batch_cost=0.5370, reader_cost=0.0001 | ETA 01:52:03 2021-01-17 20:59:42 [INFO] [TRAIN] epoch=42, iter=27490/40000, loss=0.2027, lr=0.003513, batch_cost=0.5404, reader_cost=0.0001 | ETA 01:52:40 2021-01-17 20:59:48 [INFO] [TRAIN] epoch=42, iter=27500/40000, loss=0.2147, lr=0.003511, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:51:35 2021-01-17 20:59:53 [INFO] [TRAIN] epoch=42, iter=27510/40000, loss=0.3265, lr=0.003508, batch_cost=0.5342, reader_cost=0.0001 | ETA 01:51:12 2021-01-17 20:59:58 [INFO] [TRAIN] epoch=42, iter=27520/40000, loss=0.2261, lr=0.003506, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:51:51 2021-01-17 21:00:04 [INFO] [TRAIN] epoch=42, iter=27530/40000, loss=0.1687, lr=0.003503, batch_cost=0.5337, reader_cost=0.0001 | ETA 01:50:55 2021-01-17 21:00:09 [INFO] [TRAIN] epoch=42, iter=27540/40000, loss=0.1849, lr=0.003501, batch_cost=0.5460, reader_cost=0.0001 | ETA 01:53:23 2021-01-17 21:00:14 [INFO] [TRAIN] epoch=42, iter=27550/40000, loss=0.1670, lr=0.003498, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:52:17 2021-01-17 21:00:20 [INFO] [TRAIN] epoch=42, iter=27560/40000, loss=0.1949, lr=0.003496, batch_cost=0.5357, reader_cost=0.0001 | ETA 01:51:04 2021-01-17 21:00:25 [INFO] [TRAIN] epoch=42, iter=27570/40000, loss=0.2582, lr=0.003493, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:50:50 2021-01-17 21:00:31 [INFO] [TRAIN] epoch=42, iter=27580/40000, loss=0.2066, lr=0.003490, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:50:54 2021-01-17 21:00:36 [INFO] [TRAIN] epoch=42, iter=27590/40000, loss=0.2554, lr=0.003488, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:50:39 2021-01-17 21:00:41 [INFO] [TRAIN] epoch=42, iter=27600/40000, loss=0.2090, lr=0.003485, batch_cost=0.5444, reader_cost=0.0001 | ETA 01:52:30 2021-01-17 21:00:47 [INFO] [TRAIN] epoch=42, iter=27610/40000, loss=0.2440, lr=0.003483, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:52:15 2021-01-17 21:00:52 [INFO] [TRAIN] epoch=42, iter=27620/40000, loss=0.1887, lr=0.003480, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:50:23 2021-01-17 21:00:58 [INFO] [TRAIN] epoch=42, iter=27630/40000, loss=0.2518, lr=0.003478, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:52:11 2021-01-17 21:01:03 [INFO] [TRAIN] epoch=42, iter=27640/40000, loss=0.2114, lr=0.003475, batch_cost=0.5351, reader_cost=0.0001 | ETA 01:50:13 2021-01-17 21:01:08 [INFO] [TRAIN] epoch=42, iter=27650/40000, loss=0.1446, lr=0.003473, batch_cost=0.5445, reader_cost=0.0001 | ETA 01:52:04 2021-01-17 21:01:14 [INFO] [TRAIN] epoch=42, iter=27660/40000, loss=0.2095, lr=0.003470, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:50:01 2021-01-17 21:01:19 [INFO] [TRAIN] epoch=42, iter=27670/40000, loss=0.3140, lr=0.003468, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:51:32 2021-01-17 21:01:25 [INFO] [TRAIN] epoch=42, iter=27680/40000, loss=0.2089, lr=0.003465, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:51:09 2021-01-17 21:01:30 [INFO] [TRAIN] epoch=42, iter=27690/40000, loss=0.2763, lr=0.003463, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:50:36 2021-01-17 21:01:35 [INFO] [TRAIN] epoch=42, iter=27700/40000, loss=0.2478, lr=0.003460, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:50:22 2021-01-17 21:01:41 [INFO] [TRAIN] epoch=42, iter=27710/40000, loss=0.2288, lr=0.003458, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:49:58 2021-01-17 21:01:46 [INFO] [TRAIN] epoch=42, iter=27720/40000, loss=0.2702, lr=0.003455, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:49:58 2021-01-17 21:01:52 [INFO] [TRAIN] epoch=42, iter=27730/40000, loss=0.2442, lr=0.003453, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:51:08 2021-01-17 21:01:57 [INFO] [TRAIN] epoch=42, iter=27740/40000, loss=0.2091, lr=0.003450, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:49:46 2021-01-17 21:02:02 [INFO] [TRAIN] epoch=42, iter=27750/40000, loss=0.2403, lr=0.003447, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:50:57 2021-01-17 21:02:08 [INFO] [TRAIN] epoch=42, iter=27760/40000, loss=0.2258, lr=0.003445, batch_cost=0.5270, reader_cost=0.0001 | ETA 01:47:30 2021-01-17 21:02:13 [INFO] [TRAIN] epoch=43, iter=27770/40000, loss=0.2094, lr=0.003442, batch_cost=0.5431, reader_cost=0.0142 | ETA 01:50:42 2021-01-17 21:02:18 [INFO] [TRAIN] epoch=43, iter=27780/40000, loss=0.2150, lr=0.003440, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:50:01 2021-01-17 21:02:24 [INFO] [TRAIN] epoch=43, iter=27790/40000, loss=0.2190, lr=0.003437, batch_cost=0.5329, reader_cost=0.0001 | ETA 01:48:26 2021-01-17 21:02:29 [INFO] [TRAIN] epoch=43, iter=27800/40000, loss=0.2237, lr=0.003435, batch_cost=0.5347, reader_cost=0.0001 | ETA 01:48:42 2021-01-17 21:02:35 [INFO] [TRAIN] epoch=43, iter=27810/40000, loss=0.1903, lr=0.003432, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:49:58 2021-01-17 21:02:40 [INFO] [TRAIN] epoch=43, iter=27820/40000, loss=0.2449, lr=0.003430, batch_cost=0.5420, reader_cost=0.0001 | ETA 01:50:01 2021-01-17 21:02:45 [INFO] [TRAIN] epoch=43, iter=27830/40000, loss=0.2523, lr=0.003427, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:50:05 2021-01-17 21:02:51 [INFO] [TRAIN] epoch=43, iter=27840/40000, loss=0.2096, lr=0.003425, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:49:38 2021-01-17 21:02:56 [INFO] [TRAIN] epoch=43, iter=27850/40000, loss=0.2018, lr=0.003422, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:49:37 2021-01-17 21:03:02 [INFO] [TRAIN] epoch=43, iter=27860/40000, loss=0.2254, lr=0.003420, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:49:01 2021-01-17 21:03:07 [INFO] [TRAIN] epoch=43, iter=27870/40000, loss=0.2499, lr=0.003417, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:49:16 2021-01-17 21:03:12 [INFO] [TRAIN] epoch=43, iter=27880/40000, loss=0.2040, lr=0.003415, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:48:35 2021-01-17 21:03:18 [INFO] [TRAIN] epoch=43, iter=27890/40000, loss=0.2229, lr=0.003412, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:49:14 2021-01-17 21:03:23 [INFO] [TRAIN] epoch=43, iter=27900/40000, loss=0.1673, lr=0.003409, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:49:30 2021-01-17 21:03:29 [INFO] [TRAIN] epoch=43, iter=27910/40000, loss=0.2382, lr=0.003407, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:48:36 2021-01-17 21:03:34 [INFO] [TRAIN] epoch=43, iter=27920/40000, loss=0.2322, lr=0.003404, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:48:37 2021-01-17 21:03:39 [INFO] [TRAIN] epoch=43, iter=27930/40000, loss=0.1698, lr=0.003402, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:48:46 2021-01-17 21:03:45 [INFO] [TRAIN] epoch=43, iter=27940/40000, loss=0.2024, lr=0.003399, batch_cost=0.5371, reader_cost=0.0001 | ETA 01:47:57 2021-01-17 21:03:50 [INFO] [TRAIN] epoch=43, iter=27950/40000, loss=0.1940, lr=0.003397, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:48:42 2021-01-17 21:03:56 [INFO] [TRAIN] epoch=43, iter=27960/40000, loss=0.2355, lr=0.003394, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:47:40 2021-01-17 21:04:01 [INFO] [TRAIN] epoch=43, iter=27970/40000, loss=0.1372, lr=0.003392, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:47:32 2021-01-17 21:04:06 [INFO] [TRAIN] epoch=43, iter=27980/40000, loss=0.2120, lr=0.003389, batch_cost=0.5443, reader_cost=0.0001 | ETA 01:49:02 2021-01-17 21:04:12 [INFO] [TRAIN] epoch=43, iter=27990/40000, loss=0.1917, lr=0.003387, batch_cost=0.5357, reader_cost=0.0001 | ETA 01:47:14 2021-01-17 21:04:17 [INFO] [TRAIN] epoch=43, iter=28000/40000, loss=0.1896, lr=0.003384, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:47:53 2021-01-17 21:04:17 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 21:04:37 [INFO] [EVAL] #Images=1449 mIoU=0.7959 Acc=0.9541 Kappa=0.8980 2021-01-17 21:04:37 [INFO] [EVAL] Class IoU: [0.9469 0.914 0.4396 0.9025 0.7286 0.8402 0.9349 0.9056 0.9385 0.4492 0.9087 0.5053 0.9043 0.9126 0.8864 0.8725 0.6413 0.8727 0.5365 0.8888 0.7853] 2021-01-17 21:04:37 [INFO] [EVAL] Class Acc: [0.9661 0.9428 0.4556 0.9448 0.8233 0.9026 0.9825 0.9683 0.9696 0.6812 0.9539 0.9446 0.9424 0.9611 0.9449 0.9414 0.804 0.968 0.8361 0.9424 0.9119] 2021-01-17 21:04:41 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 21:04:47 [INFO] [TRAIN] epoch=43, iter=28010/40000, loss=0.2301, lr=0.003382, batch_cost=0.5337, reader_cost=0.0001 | ETA 01:46:39 2021-01-17 21:04:52 [INFO] [TRAIN] epoch=43, iter=28020/40000, loss=0.2072, lr=0.003379, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:47:47 2021-01-17 21:04:57 [INFO] [TRAIN] epoch=43, iter=28030/40000, loss=0.2238, lr=0.003376, batch_cost=0.5318, reader_cost=0.0001 | ETA 01:46:05 2021-01-17 21:05:03 [INFO] [TRAIN] epoch=43, iter=28040/40000, loss=0.2316, lr=0.003374, batch_cost=0.5388, reader_cost=0.0001 | ETA 01:47:23 2021-01-17 21:05:08 [INFO] [TRAIN] epoch=43, iter=28050/40000, loss=0.2781, lr=0.003371, batch_cost=0.5432, reader_cost=0.0001 | ETA 01:48:10 2021-01-17 21:05:13 [INFO] [TRAIN] epoch=43, iter=28060/40000, loss=0.2502, lr=0.003369, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:46:34 2021-01-17 21:05:19 [INFO] [TRAIN] epoch=43, iter=28070/40000, loss=0.2988, lr=0.003366, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:47:00 2021-01-17 21:05:24 [INFO] [TRAIN] epoch=43, iter=28080/40000, loss=0.2854, lr=0.003364, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:46:58 2021-01-17 21:05:30 [INFO] [TRAIN] epoch=43, iter=28090/40000, loss=0.2061, lr=0.003361, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:47:05 2021-01-17 21:05:35 [INFO] [TRAIN] epoch=43, iter=28100/40000, loss=0.2207, lr=0.003359, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:46:48 2021-01-17 21:05:40 [INFO] [TRAIN] epoch=43, iter=28110/40000, loss=0.2031, lr=0.003356, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:46:10 2021-01-17 21:05:46 [INFO] [TRAIN] epoch=43, iter=28120/40000, loss=0.2066, lr=0.003354, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:47:14 2021-01-17 21:05:51 [INFO] [TRAIN] epoch=43, iter=28130/40000, loss=0.2426, lr=0.003351, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:45:52 2021-01-17 21:05:57 [INFO] [TRAIN] epoch=43, iter=28140/40000, loss=0.3006, lr=0.003349, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:46:23 2021-01-17 21:06:02 [INFO] [TRAIN] epoch=43, iter=28150/40000, loss=0.2260, lr=0.003346, batch_cost=0.5404, reader_cost=0.0001 | ETA 01:46:44 2021-01-17 21:06:07 [INFO] [TRAIN] epoch=43, iter=28160/40000, loss=0.2748, lr=0.003343, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:45:28 2021-01-17 21:06:13 [INFO] [TRAIN] epoch=43, iter=28170/40000, loss=0.2718, lr=0.003341, batch_cost=0.5325, reader_cost=0.0001 | ETA 01:44:58 2021-01-17 21:06:18 [INFO] [TRAIN] epoch=43, iter=28180/40000, loss=0.1664, lr=0.003338, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:45:50 2021-01-17 21:06:23 [INFO] [TRAIN] epoch=43, iter=28190/40000, loss=0.1749, lr=0.003336, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:46:18 2021-01-17 21:06:29 [INFO] [TRAIN] epoch=43, iter=28200/40000, loss=0.2968, lr=0.003333, batch_cost=0.5334, reader_cost=0.0001 | ETA 01:44:53 2021-01-17 21:06:34 [INFO] [TRAIN] epoch=43, iter=28210/40000, loss=0.2351, lr=0.003331, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:45:30 2021-01-17 21:06:39 [INFO] [TRAIN] epoch=43, iter=28220/40000, loss=0.1852, lr=0.003328, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:45:48 2021-01-17 21:06:45 [INFO] [TRAIN] epoch=43, iter=28230/40000, loss=0.2134, lr=0.003326, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:45:48 2021-01-17 21:06:50 [INFO] [TRAIN] epoch=43, iter=28240/40000, loss=0.2863, lr=0.003323, batch_cost=0.5426, reader_cost=0.0001 | ETA 01:46:20 2021-01-17 21:06:56 [INFO] [TRAIN] epoch=43, iter=28250/40000, loss=0.2825, lr=0.003321, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:45:07 2021-01-17 21:07:01 [INFO] [TRAIN] epoch=43, iter=28260/40000, loss=0.2189, lr=0.003318, batch_cost=0.5370, reader_cost=0.0001 | ETA 01:45:04 2021-01-17 21:07:06 [INFO] [TRAIN] epoch=43, iter=28270/40000, loss=0.2202, lr=0.003315, batch_cost=0.5320, reader_cost=0.0001 | ETA 01:44:00 2021-01-17 21:07:12 [INFO] [TRAIN] epoch=43, iter=28280/40000, loss=0.3892, lr=0.003313, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:44:50 2021-01-17 21:07:17 [INFO] [TRAIN] epoch=43, iter=28290/40000, loss=0.2266, lr=0.003310, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:44:58 2021-01-17 21:07:22 [INFO] [TRAIN] epoch=43, iter=28300/40000, loss=0.2466, lr=0.003308, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:44:50 2021-01-17 21:07:28 [INFO] [TRAIN] epoch=43, iter=28310/40000, loss=0.2407, lr=0.003305, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:44:26 2021-01-17 21:07:33 [INFO] [TRAIN] epoch=43, iter=28320/40000, loss=0.2278, lr=0.003303, batch_cost=0.5336, reader_cost=0.0001 | ETA 01:43:52 2021-01-17 21:07:39 [INFO] [TRAIN] epoch=43, iter=28330/40000, loss=0.2131, lr=0.003300, batch_cost=0.5330, reader_cost=0.0001 | ETA 01:43:40 2021-01-17 21:07:44 [INFO] [TRAIN] epoch=43, iter=28340/40000, loss=0.2103, lr=0.003298, batch_cost=0.5337, reader_cost=0.0001 | ETA 01:43:42 2021-01-17 21:07:49 [INFO] [TRAIN] epoch=43, iter=28350/40000, loss=0.1922, lr=0.003295, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:44:28 2021-01-17 21:07:55 [INFO] [TRAIN] epoch=43, iter=28360/40000, loss=0.2579, lr=0.003293, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:44:17 2021-01-17 21:08:00 [INFO] [TRAIN] epoch=43, iter=28370/40000, loss=0.2500, lr=0.003290, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:44:53 2021-01-17 21:08:05 [INFO] [TRAIN] epoch=43, iter=28380/40000, loss=0.2151, lr=0.003287, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:44:29 2021-01-17 21:08:11 [INFO] [TRAIN] epoch=43, iter=28390/40000, loss=0.2908, lr=0.003285, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:44:17 2021-01-17 21:08:16 [INFO] [TRAIN] epoch=43, iter=28400/40000, loss=0.2294, lr=0.003282, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:44:31 2021-01-17 21:08:22 [INFO] [TRAIN] epoch=43, iter=28410/40000, loss=0.2523, lr=0.003280, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:43:58 2021-01-17 21:08:27 [INFO] [TRAIN] epoch=43, iter=28420/40000, loss=0.2145, lr=0.003277, batch_cost=0.5254, reader_cost=0.0001 | ETA 01:41:23 2021-01-17 21:08:32 [INFO] [TRAIN] epoch=44, iter=28430/40000, loss=0.2452, lr=0.003275, batch_cost=0.5369, reader_cost=0.0178 | ETA 01:43:32 2021-01-17 21:08:38 [INFO] [TRAIN] epoch=44, iter=28440/40000, loss=0.2797, lr=0.003272, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:43:15 2021-01-17 21:08:43 [INFO] [TRAIN] epoch=44, iter=28450/40000, loss=0.2700, lr=0.003270, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:43:29 2021-01-17 21:08:48 [INFO] [TRAIN] epoch=44, iter=28460/40000, loss=0.2332, lr=0.003267, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:43:46 2021-01-17 21:08:54 [INFO] [TRAIN] epoch=44, iter=28470/40000, loss=0.2234, lr=0.003265, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:43:29 2021-01-17 21:08:59 [INFO] [TRAIN] epoch=44, iter=28480/40000, loss=0.2392, lr=0.003262, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:44:01 2021-01-17 21:09:05 [INFO] [TRAIN] epoch=44, iter=28490/40000, loss=0.2603, lr=0.003259, batch_cost=0.5364, reader_cost=0.0001 | ETA 01:42:53 2021-01-17 21:09:10 [INFO] [TRAIN] epoch=44, iter=28500/40000, loss=0.2411, lr=0.003257, batch_cost=0.5425, reader_cost=0.0001 | ETA 01:43:59 2021-01-17 21:09:15 [INFO] [TRAIN] epoch=44, iter=28510/40000, loss=0.1677, lr=0.003254, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:42:53 2021-01-17 21:09:21 [INFO] [TRAIN] epoch=44, iter=28520/40000, loss=0.1941, lr=0.003252, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:43:06 2021-01-17 21:09:26 [INFO] [TRAIN] epoch=44, iter=28530/40000, loss=0.1897, lr=0.003249, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:43:08 2021-01-17 21:09:32 [INFO] [TRAIN] epoch=44, iter=28540/40000, loss=0.2356, lr=0.003247, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:42:46 2021-01-17 21:09:37 [INFO] [TRAIN] epoch=44, iter=28550/40000, loss=0.1641, lr=0.003244, batch_cost=0.5370, reader_cost=0.0001 | ETA 01:42:28 2021-01-17 21:09:42 [INFO] [TRAIN] epoch=44, iter=28560/40000, loss=0.2649, lr=0.003242, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:42:02 2021-01-17 21:09:48 [INFO] [TRAIN] epoch=44, iter=28570/40000, loss=0.2251, lr=0.003239, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:42:10 2021-01-17 21:09:53 [INFO] [TRAIN] epoch=44, iter=28580/40000, loss=0.2396, lr=0.003237, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:42:35 2021-01-17 21:09:58 [INFO] [TRAIN] epoch=44, iter=28590/40000, loss=0.2135, lr=0.003234, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:42:47 2021-01-17 21:10:04 [INFO] [TRAIN] epoch=44, iter=28600/40000, loss=0.1975, lr=0.003231, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:43:14 2021-01-17 21:10:09 [INFO] [TRAIN] epoch=44, iter=28610/40000, loss=0.2076, lr=0.003229, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:42:29 2021-01-17 21:10:15 [INFO] [TRAIN] epoch=44, iter=28620/40000, loss=0.2138, lr=0.003226, batch_cost=0.5422, reader_cost=0.0001 | ETA 01:42:50 2021-01-17 21:10:20 [INFO] [TRAIN] epoch=44, iter=28630/40000, loss=0.1924, lr=0.003224, batch_cost=0.5397, reader_cost=0.0001 | ETA 01:42:16 2021-01-17 21:10:25 [INFO] [TRAIN] epoch=44, iter=28640/40000, loss=0.2630, lr=0.003221, batch_cost=0.5420, reader_cost=0.0001 | ETA 01:42:36 2021-01-17 21:10:31 [INFO] [TRAIN] epoch=44, iter=28650/40000, loss=0.2043, lr=0.003219, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:41:12 2021-01-17 21:10:36 [INFO] [TRAIN] epoch=44, iter=28660/40000, loss=0.2255, lr=0.003216, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:42:09 2021-01-17 21:10:42 [INFO] [TRAIN] epoch=44, iter=28670/40000, loss=0.2744, lr=0.003214, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:41:34 2021-01-17 21:10:47 [INFO] [TRAIN] epoch=44, iter=28680/40000, loss=0.2337, lr=0.003211, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:42:12 2021-01-17 21:10:52 [INFO] [TRAIN] epoch=44, iter=28690/40000, loss=0.2051, lr=0.003208, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:41:21 2021-01-17 21:10:58 [INFO] [TRAIN] epoch=44, iter=28700/40000, loss=0.1781, lr=0.003206, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:42:01 2021-01-17 21:11:03 [INFO] [TRAIN] epoch=44, iter=28710/40000, loss=0.2677, lr=0.003203, batch_cost=0.5470, reader_cost=0.0001 | ETA 01:42:55 2021-01-17 21:11:09 [INFO] [TRAIN] epoch=44, iter=28720/40000, loss=0.1853, lr=0.003201, batch_cost=0.5361, reader_cost=0.0001 | ETA 01:40:47 2021-01-17 21:11:14 [INFO] [TRAIN] epoch=44, iter=28730/40000, loss=0.2090, lr=0.003198, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:40:57 2021-01-17 21:11:19 [INFO] [TRAIN] epoch=44, iter=28740/40000, loss=0.2087, lr=0.003196, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:40:49 2021-01-17 21:11:25 [INFO] [TRAIN] epoch=44, iter=28750/40000, loss=0.1564, lr=0.003193, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:41:18 2021-01-17 21:11:30 [INFO] [TRAIN] epoch=44, iter=28760/40000, loss=0.2326, lr=0.003191, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:41:46 2021-01-17 21:11:36 [INFO] [TRAIN] epoch=44, iter=28770/40000, loss=0.2435, lr=0.003188, batch_cost=0.5354, reader_cost=0.0001 | ETA 01:40:12 2021-01-17 21:11:41 [INFO] [TRAIN] epoch=44, iter=28780/40000, loss=0.1841, lr=0.003185, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:41:00 2021-01-17 21:11:46 [INFO] [TRAIN] epoch=44, iter=28790/40000, loss=0.2290, lr=0.003183, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:40:25 2021-01-17 21:11:52 [INFO] [TRAIN] epoch=44, iter=28800/40000, loss=0.1942, lr=0.003180, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:40:51 2021-01-17 21:11:57 [INFO] [TRAIN] epoch=44, iter=28810/40000, loss=0.2013, lr=0.003178, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:40:00 2021-01-17 21:12:03 [INFO] [TRAIN] epoch=44, iter=28820/40000, loss=0.2897, lr=0.003175, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:40:31 2021-01-17 21:12:08 [INFO] [TRAIN] epoch=44, iter=28830/40000, loss=0.2455, lr=0.003173, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:40:32 2021-01-17 21:12:13 [INFO] [TRAIN] epoch=44, iter=28840/40000, loss=0.2303, lr=0.003170, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:39:41 2021-01-17 21:12:19 [INFO] [TRAIN] epoch=44, iter=28850/40000, loss=0.2097, lr=0.003168, batch_cost=0.5370, reader_cost=0.0001 | ETA 01:39:47 2021-01-17 21:12:24 [INFO] [TRAIN] epoch=44, iter=28860/40000, loss=0.2122, lr=0.003165, batch_cost=0.5398, reader_cost=0.0001 | ETA 01:40:13 2021-01-17 21:12:29 [INFO] [TRAIN] epoch=44, iter=28870/40000, loss=0.2099, lr=0.003162, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:40:02 2021-01-17 21:12:35 [INFO] [TRAIN] epoch=44, iter=28880/40000, loss=0.2520, lr=0.003160, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:39:03 2021-01-17 21:12:40 [INFO] [TRAIN] epoch=44, iter=28890/40000, loss=0.1924, lr=0.003157, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:39:58 2021-01-17 21:12:46 [INFO] [TRAIN] epoch=44, iter=28900/40000, loss=0.2258, lr=0.003155, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:39:34 2021-01-17 21:12:51 [INFO] [TRAIN] epoch=44, iter=28910/40000, loss=0.2356, lr=0.003152, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:39:09 2021-01-17 21:12:56 [INFO] [TRAIN] epoch=44, iter=28920/40000, loss=0.2203, lr=0.003150, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:39:08 2021-01-17 21:13:02 [INFO] [TRAIN] epoch=44, iter=28930/40000, loss=0.2840, lr=0.003147, batch_cost=0.5406, reader_cost=0.0001 | ETA 01:39:44 2021-01-17 21:13:07 [INFO] [TRAIN] epoch=44, iter=28940/40000, loss=0.2329, lr=0.003145, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:39:08 2021-01-17 21:13:13 [INFO] [TRAIN] epoch=44, iter=28950/40000, loss=0.2826, lr=0.003142, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:39:44 2021-01-17 21:13:18 [INFO] [TRAIN] epoch=44, iter=28960/40000, loss=0.2115, lr=0.003139, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:39:34 2021-01-17 21:13:23 [INFO] [TRAIN] epoch=44, iter=28970/40000, loss=0.2754, lr=0.003137, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:39:01 2021-01-17 21:13:29 [INFO] [TRAIN] epoch=44, iter=28980/40000, loss=0.2031, lr=0.003134, batch_cost=0.5415, reader_cost=0.0001 | ETA 01:39:27 2021-01-17 21:13:34 [INFO] [TRAIN] epoch=44, iter=28990/40000, loss=0.1913, lr=0.003132, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:38:42 2021-01-17 21:13:40 [INFO] [TRAIN] epoch=44, iter=29000/40000, loss=0.2135, lr=0.003129, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:39:09 2021-01-17 21:13:40 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 21:14:00 [INFO] [EVAL] #Images=1449 mIoU=0.7886 Acc=0.9525 Kappa=0.8946 2021-01-17 21:14:00 [INFO] [EVAL] Class IoU: [0.945 0.9115 0.4305 0.8902 0.6593 0.8481 0.9547 0.89 0.9338 0.4656 0.9008 0.4796 0.9027 0.9126 0.8519 0.872 0.6296 0.8571 0.5836 0.8634 0.7779] 2021-01-17 21:14:00 [INFO] [EVAL] Class Acc: [0.966 0.954 0.4449 0.9541 0.7334 0.8985 0.9833 0.9479 0.9538 0.683 0.9352 0.907 0.9446 0.9484 0.9411 0.9527 0.8349 0.9407 0.8161 0.9657 0.9113] 2021-01-17 21:14:04 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 21:14:09 [INFO] [TRAIN] epoch=44, iter=29010/40000, loss=0.2644, lr=0.003127, batch_cost=0.5334, reader_cost=0.0001 | ETA 01:37:42 2021-01-17 21:14:14 [INFO] [TRAIN] epoch=44, iter=29020/40000, loss=0.2040, lr=0.003124, batch_cost=0.5357, reader_cost=0.0001 | ETA 01:38:02 2021-01-17 21:14:20 [INFO] [TRAIN] epoch=44, iter=29030/40000, loss=0.1963, lr=0.003122, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:39:30 2021-01-17 21:14:25 [INFO] [TRAIN] epoch=44, iter=29040/40000, loss=0.2167, lr=0.003119, batch_cost=0.5342, reader_cost=0.0001 | ETA 01:37:34 2021-01-17 21:14:31 [INFO] [TRAIN] epoch=44, iter=29050/40000, loss=0.3142, lr=0.003116, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:38:36 2021-01-17 21:14:36 [INFO] [TRAIN] epoch=44, iter=29060/40000, loss=0.1781, lr=0.003114, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:38:02 2021-01-17 21:14:41 [INFO] [TRAIN] epoch=44, iter=29070/40000, loss=0.2454, lr=0.003111, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:38:30 2021-01-17 21:14:47 [INFO] [TRAIN] epoch=44, iter=29080/40000, loss=0.2254, lr=0.003109, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:37:17 2021-01-17 21:14:52 [INFO] [TRAIN] epoch=45, iter=29090/40000, loss=0.2510, lr=0.003106, batch_cost=0.5346, reader_cost=0.0150 | ETA 01:37:12 2021-01-17 21:14:58 [INFO] [TRAIN] epoch=45, iter=29100/40000, loss=0.2226, lr=0.003104, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:37:52 2021-01-17 21:15:03 [INFO] [TRAIN] epoch=45, iter=29110/40000, loss=0.1730, lr=0.003101, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:37:20 2021-01-17 21:15:08 [INFO] [TRAIN] epoch=45, iter=29120/40000, loss=0.2063, lr=0.003098, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:38:03 2021-01-17 21:15:14 [INFO] [TRAIN] epoch=45, iter=29130/40000, loss=0.2039, lr=0.003096, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:37:35 2021-01-17 21:15:19 [INFO] [TRAIN] epoch=45, iter=29140/40000, loss=0.2312, lr=0.003093, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:37:29 2021-01-17 21:15:24 [INFO] [TRAIN] epoch=45, iter=29150/40000, loss=0.2865, lr=0.003091, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:37:41 2021-01-17 21:15:30 [INFO] [TRAIN] epoch=45, iter=29160/40000, loss=0.1397, lr=0.003088, batch_cost=0.5364, reader_cost=0.0001 | ETA 01:36:54 2021-01-17 21:15:35 [INFO] [TRAIN] epoch=45, iter=29170/40000, loss=0.2016, lr=0.003086, batch_cost=0.5444, reader_cost=0.0001 | ETA 01:38:15 2021-01-17 21:15:41 [INFO] [TRAIN] epoch=45, iter=29180/40000, loss=0.2534, lr=0.003083, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:37:25 2021-01-17 21:15:46 [INFO] [TRAIN] epoch=45, iter=29190/40000, loss=0.1942, lr=0.003081, batch_cost=0.5446, reader_cost=0.0001 | ETA 01:38:07 2021-01-17 21:15:52 [INFO] [TRAIN] epoch=45, iter=29200/40000, loss=0.3586, lr=0.003078, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:36:52 2021-01-17 21:15:57 [INFO] [TRAIN] epoch=45, iter=29210/40000, loss=0.1884, lr=0.003075, batch_cost=0.5397, reader_cost=0.0001 | ETA 01:37:03 2021-01-17 21:16:02 [INFO] [TRAIN] epoch=45, iter=29220/40000, loss=0.1899, lr=0.003073, batch_cost=0.5289, reader_cost=0.0001 | ETA 01:35:01 2021-01-17 21:16:08 [INFO] [TRAIN] epoch=45, iter=29230/40000, loss=0.2442, lr=0.003070, batch_cost=0.5456, reader_cost=0.0001 | ETA 01:37:55 2021-01-17 21:16:13 [INFO] [TRAIN] epoch=45, iter=29240/40000, loss=0.2090, lr=0.003068, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:36:30 2021-01-17 21:16:18 [INFO] [TRAIN] epoch=45, iter=29250/40000, loss=0.2364, lr=0.003065, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:37:20 2021-01-17 21:16:24 [INFO] [TRAIN] epoch=45, iter=29260/40000, loss=0.2486, lr=0.003063, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:36:09 2021-01-17 21:16:29 [INFO] [TRAIN] epoch=45, iter=29270/40000, loss=0.2722, lr=0.003060, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:36:34 2021-01-17 21:16:35 [INFO] [TRAIN] epoch=45, iter=29280/40000, loss=0.2306, lr=0.003057, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:36:01 2021-01-17 21:16:40 [INFO] [TRAIN] epoch=45, iter=29290/40000, loss=0.1886, lr=0.003055, batch_cost=0.5450, reader_cost=0.0001 | ETA 01:37:16 2021-01-17 21:16:45 [INFO] [TRAIN] epoch=45, iter=29300/40000, loss=0.2432, lr=0.003052, batch_cost=0.5398, reader_cost=0.0001 | ETA 01:36:15 2021-01-17 21:16:51 [INFO] [TRAIN] epoch=45, iter=29310/40000, loss=0.2310, lr=0.003050, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:35:48 2021-01-17 21:16:56 [INFO] [TRAIN] epoch=45, iter=29320/40000, loss=0.1663, lr=0.003047, batch_cost=0.5397, reader_cost=0.0001 | ETA 01:36:03 2021-01-17 21:17:02 [INFO] [TRAIN] epoch=45, iter=29330/40000, loss=0.1941, lr=0.003045, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:35:51 2021-01-17 21:17:07 [INFO] [TRAIN] epoch=45, iter=29340/40000, loss=0.1313, lr=0.003042, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:36:15 2021-01-17 21:17:13 [INFO] [TRAIN] epoch=45, iter=29350/40000, loss=0.2778, lr=0.003039, batch_cost=0.5461, reader_cost=0.0001 | ETA 01:36:55 2021-01-17 21:17:18 [INFO] [TRAIN] epoch=45, iter=29360/40000, loss=0.2320, lr=0.003037, batch_cost=0.5349, reader_cost=0.0001 | ETA 01:34:51 2021-01-17 21:17:23 [INFO] [TRAIN] epoch=45, iter=29370/40000, loss=0.2483, lr=0.003034, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:35:21 2021-01-17 21:17:29 [INFO] [TRAIN] epoch=45, iter=29380/40000, loss=0.1813, lr=0.003032, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:35:17 2021-01-17 21:17:34 [INFO] [TRAIN] epoch=45, iter=29390/40000, loss=0.1748, lr=0.003029, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:35:43 2021-01-17 21:17:39 [INFO] [TRAIN] epoch=45, iter=29400/40000, loss=0.1851, lr=0.003027, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:35:56 2021-01-17 21:17:45 [INFO] [TRAIN] epoch=45, iter=29410/40000, loss=0.1484, lr=0.003024, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:35:37 2021-01-17 21:17:50 [INFO] [TRAIN] epoch=45, iter=29420/40000, loss=0.2376, lr=0.003021, batch_cost=0.5355, reader_cost=0.0001 | ETA 01:34:25 2021-01-17 21:17:56 [INFO] [TRAIN] epoch=45, iter=29430/40000, loss=0.2188, lr=0.003019, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:35:51 2021-01-17 21:18:01 [INFO] [TRAIN] epoch=45, iter=29440/40000, loss=0.2142, lr=0.003016, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:34:53 2021-01-17 21:18:07 [INFO] [TRAIN] epoch=45, iter=29450/40000, loss=0.2720, lr=0.003014, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:35:28 2021-01-17 21:18:12 [INFO] [TRAIN] epoch=45, iter=29460/40000, loss=0.2262, lr=0.003011, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:34:51 2021-01-17 21:18:17 [INFO] [TRAIN] epoch=45, iter=29470/40000, loss=0.2359, lr=0.003009, batch_cost=0.5319, reader_cost=0.0001 | ETA 01:33:20 2021-01-17 21:18:23 [INFO] [TRAIN] epoch=45, iter=29480/40000, loss=0.2077, lr=0.003006, batch_cost=0.5371, reader_cost=0.0001 | ETA 01:34:10 2021-01-17 21:18:28 [INFO] [TRAIN] epoch=45, iter=29490/40000, loss=0.2566, lr=0.003003, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:34:00 2021-01-17 21:18:33 [INFO] [TRAIN] epoch=45, iter=29500/40000, loss=0.2039, lr=0.003001, batch_cost=0.5431, reader_cost=0.0001 | ETA 01:35:02 2021-01-17 21:18:39 [INFO] [TRAIN] epoch=45, iter=29510/40000, loss=0.2005, lr=0.002998, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:33:54 2021-01-17 21:18:44 [INFO] [TRAIN] epoch=45, iter=29520/40000, loss=0.2556, lr=0.002996, batch_cost=0.5439, reader_cost=0.0001 | ETA 01:35:00 2021-01-17 21:18:50 [INFO] [TRAIN] epoch=45, iter=29530/40000, loss=0.2361, lr=0.002993, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:34:08 2021-01-17 21:18:55 [INFO] [TRAIN] epoch=45, iter=29540/40000, loss=0.2516, lr=0.002991, batch_cost=0.5398, reader_cost=0.0001 | ETA 01:34:06 2021-01-17 21:19:00 [INFO] [TRAIN] epoch=45, iter=29550/40000, loss=0.2396, lr=0.002988, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:33:35 2021-01-17 21:19:06 [INFO] [TRAIN] epoch=45, iter=29560/40000, loss=0.1898, lr=0.002985, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:33:56 2021-01-17 21:19:11 [INFO] [TRAIN] epoch=45, iter=29570/40000, loss=0.1916, lr=0.002983, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:33:42 2021-01-17 21:19:17 [INFO] [TRAIN] epoch=45, iter=29580/40000, loss=0.2109, lr=0.002980, batch_cost=0.5423, reader_cost=0.0001 | ETA 01:34:11 2021-01-17 21:19:22 [INFO] [TRAIN] epoch=45, iter=29590/40000, loss=0.1796, lr=0.002978, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:33:01 2021-01-17 21:19:27 [INFO] [TRAIN] epoch=45, iter=29600/40000, loss=0.2187, lr=0.002975, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:33:26 2021-01-17 21:19:33 [INFO] [TRAIN] epoch=45, iter=29610/40000, loss=0.2085, lr=0.002973, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:33:22 2021-01-17 21:19:38 [INFO] [TRAIN] epoch=45, iter=29620/40000, loss=0.1971, lr=0.002970, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:33:25 2021-01-17 21:19:44 [INFO] [TRAIN] epoch=45, iter=29630/40000, loss=0.2249, lr=0.002967, batch_cost=0.5485, reader_cost=0.0001 | ETA 01:34:48 2021-01-17 21:19:49 [INFO] [TRAIN] epoch=45, iter=29640/40000, loss=0.2074, lr=0.002965, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:33:22 2021-01-17 21:19:54 [INFO] [TRAIN] epoch=45, iter=29650/40000, loss=0.1797, lr=0.002962, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:32:27 2021-01-17 21:20:00 [INFO] [TRAIN] epoch=45, iter=29660/40000, loss=0.1996, lr=0.002960, batch_cost=0.5465, reader_cost=0.0001 | ETA 01:34:10 2021-01-17 21:20:05 [INFO] [TRAIN] epoch=45, iter=29670/40000, loss=0.2125, lr=0.002957, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:32:42 2021-01-17 21:20:11 [INFO] [TRAIN] epoch=45, iter=29680/40000, loss=0.1494, lr=0.002955, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:31:57 2021-01-17 21:20:16 [INFO] [TRAIN] epoch=45, iter=29690/40000, loss=0.2197, lr=0.002952, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:32:13 2021-01-17 21:20:21 [INFO] [TRAIN] epoch=45, iter=29700/40000, loss=0.1726, lr=0.002949, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:33:16 2021-01-17 21:20:27 [INFO] [TRAIN] epoch=45, iter=29710/40000, loss=0.1965, lr=0.002947, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:32:46 2021-01-17 21:20:32 [INFO] [TRAIN] epoch=45, iter=29720/40000, loss=0.2163, lr=0.002944, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:31:48 2021-01-17 21:20:38 [INFO] [TRAIN] epoch=45, iter=29730/40000, loss=0.2399, lr=0.002942, batch_cost=0.5448, reader_cost=0.0001 | ETA 01:33:14 2021-01-17 21:20:43 [INFO] [TRAIN] epoch=45, iter=29740/40000, loss=0.1526, lr=0.002939, batch_cost=0.5316, reader_cost=0.0001 | ETA 01:30:53 2021-01-17 21:20:48 [INFO] [TRAIN] epoch=46, iter=29750/40000, loss=0.1834, lr=0.002937, batch_cost=0.5350, reader_cost=0.0149 | ETA 01:31:23 2021-01-17 21:20:54 [INFO] [TRAIN] epoch=46, iter=29760/40000, loss=0.2688, lr=0.002934, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:32:08 2021-01-17 21:20:59 [INFO] [TRAIN] epoch=46, iter=29770/40000, loss=0.1835, lr=0.002931, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:31:30 2021-01-17 21:21:04 [INFO] [TRAIN] epoch=46, iter=29780/40000, loss=0.1689, lr=0.002929, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:31:51 2021-01-17 21:21:10 [INFO] [TRAIN] epoch=46, iter=29790/40000, loss=0.1788, lr=0.002926, batch_cost=0.5425, reader_cost=0.0001 | ETA 01:32:18 2021-01-17 21:21:15 [INFO] [TRAIN] epoch=46, iter=29800/40000, loss=0.1606, lr=0.002924, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:31:16 2021-01-17 21:21:21 [INFO] [TRAIN] epoch=46, iter=29810/40000, loss=0.2239, lr=0.002921, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:32:25 2021-01-17 21:21:26 [INFO] [TRAIN] epoch=46, iter=29820/40000, loss=0.3582, lr=0.002918, batch_cost=0.5440, reader_cost=0.0001 | ETA 01:32:18 2021-01-17 21:21:31 [INFO] [TRAIN] epoch=46, iter=29830/40000, loss=0.1884, lr=0.002916, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:31:05 2021-01-17 21:21:37 [INFO] [TRAIN] epoch=46, iter=29840/40000, loss=0.2071, lr=0.002913, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:31:22 2021-01-17 21:21:42 [INFO] [TRAIN] epoch=46, iter=29850/40000, loss=0.1534, lr=0.002911, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:30:53 2021-01-17 21:21:48 [INFO] [TRAIN] epoch=46, iter=29860/40000, loss=0.2389, lr=0.002908, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:31:16 2021-01-17 21:21:53 [INFO] [TRAIN] epoch=46, iter=29870/40000, loss=0.2061, lr=0.002906, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:31:10 2021-01-17 21:21:58 [INFO] [TRAIN] epoch=46, iter=29880/40000, loss=0.2395, lr=0.002903, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:31:12 2021-01-17 21:22:04 [INFO] [TRAIN] epoch=46, iter=29890/40000, loss=0.1642, lr=0.002900, batch_cost=0.5338, reader_cost=0.0001 | ETA 01:29:56 2021-01-17 21:22:09 [INFO] [TRAIN] epoch=46, iter=29900/40000, loss=0.2282, lr=0.002898, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:31:12 2021-01-17 21:22:15 [INFO] [TRAIN] epoch=46, iter=29910/40000, loss=0.2148, lr=0.002895, batch_cost=0.5343, reader_cost=0.0001 | ETA 01:29:51 2021-01-17 21:22:20 [INFO] [TRAIN] epoch=46, iter=29920/40000, loss=0.2238, lr=0.002893, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:30:08 2021-01-17 21:22:25 [INFO] [TRAIN] epoch=46, iter=29930/40000, loss=0.1886, lr=0.002890, batch_cost=0.5388, reader_cost=0.0001 | ETA 01:30:25 2021-01-17 21:22:31 [INFO] [TRAIN] epoch=46, iter=29940/40000, loss=0.2272, lr=0.002888, batch_cost=0.5397, reader_cost=0.0001 | ETA 01:30:29 2021-01-17 21:22:36 [INFO] [TRAIN] epoch=46, iter=29950/40000, loss=0.1608, lr=0.002885, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:30:13 2021-01-17 21:22:41 [INFO] [TRAIN] epoch=46, iter=29960/40000, loss=0.2660, lr=0.002882, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:29:53 2021-01-17 21:22:47 [INFO] [TRAIN] epoch=46, iter=29970/40000, loss=0.2417, lr=0.002880, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:30:15 2021-01-17 21:22:52 [INFO] [TRAIN] epoch=46, iter=29980/40000, loss=0.3659, lr=0.002877, batch_cost=0.5444, reader_cost=0.0001 | ETA 01:30:54 2021-01-17 21:22:58 [INFO] [TRAIN] epoch=46, iter=29990/40000, loss=0.2379, lr=0.002875, batch_cost=0.5333, reader_cost=0.0001 | ETA 01:28:57 2021-01-17 21:23:03 [INFO] [TRAIN] epoch=46, iter=30000/40000, loss=0.1936, lr=0.002872, batch_cost=0.5335, reader_cost=0.0001 | ETA 01:28:54 2021-01-17 21:23:03 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 21:23:23 [INFO] [EVAL] #Images=1449 mIoU=0.7901 Acc=0.9532 Kappa=0.8955 2021-01-17 21:23:23 [INFO] [EVAL] Class IoU: [0.9459 0.9194 0.4375 0.9027 0.6663 0.8453 0.9521 0.8979 0.9374 0.4347 0.8863 0.4415 0.9148 0.9053 0.8785 0.8784 0.6396 0.877 0.5438 0.8963 0.7905] 2021-01-17 21:23:23 [INFO] [EVAL] Class Acc: [0.9643 0.9608 0.4539 0.9487 0.7554 0.9048 0.9855 0.9654 0.9681 0.6361 0.9441 0.9105 0.9566 0.9496 0.9384 0.9571 0.8458 0.9604 0.825 0.972 0.9332] 2021-01-17 21:23:27 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 21:23:32 [INFO] [TRAIN] epoch=46, iter=30010/40000, loss=0.1662, lr=0.002869, batch_cost=0.5307, reader_cost=0.0001 | ETA 01:28:21 2021-01-17 21:23:38 [INFO] [TRAIN] epoch=46, iter=30020/40000, loss=0.1738, lr=0.002867, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:29:43 2021-01-17 21:23:43 [INFO] [TRAIN] epoch=46, iter=30030/40000, loss=0.1923, lr=0.002864, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:29:30 2021-01-17 21:23:48 [INFO] [TRAIN] epoch=46, iter=30040/40000, loss=0.2788, lr=0.002862, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:28:58 2021-01-17 21:23:54 [INFO] [TRAIN] epoch=46, iter=30050/40000, loss=0.2720, lr=0.002859, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:29:27 2021-01-17 21:23:59 [INFO] [TRAIN] epoch=46, iter=30060/40000, loss=0.2098, lr=0.002856, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:28:56 2021-01-17 21:24:05 [INFO] [TRAIN] epoch=46, iter=30070/40000, loss=0.2181, lr=0.002854, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:29:16 2021-01-17 21:24:10 [INFO] [TRAIN] epoch=46, iter=30080/40000, loss=0.1462, lr=0.002851, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:29:06 2021-01-17 21:24:15 [INFO] [TRAIN] epoch=46, iter=30090/40000, loss=0.1387, lr=0.002849, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:29:19 2021-01-17 21:24:21 [INFO] [TRAIN] epoch=46, iter=30100/40000, loss=0.1709, lr=0.002846, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:28:58 2021-01-17 21:24:26 [INFO] [TRAIN] epoch=46, iter=30110/40000, loss=0.1770, lr=0.002844, batch_cost=0.5424, reader_cost=0.0001 | ETA 01:29:24 2021-01-17 21:24:32 [INFO] [TRAIN] epoch=46, iter=30120/40000, loss=0.2771, lr=0.002841, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:28:22 2021-01-17 21:24:37 [INFO] [TRAIN] epoch=46, iter=30130/40000, loss=0.2109, lr=0.002838, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:28:25 2021-01-17 21:24:42 [INFO] [TRAIN] epoch=46, iter=30140/40000, loss=0.1871, lr=0.002836, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:29:10 2021-01-17 21:24:48 [INFO] [TRAIN] epoch=46, iter=30150/40000, loss=0.1830, lr=0.002833, batch_cost=0.5456, reader_cost=0.0001 | ETA 01:29:33 2021-01-17 21:24:53 [INFO] [TRAIN] epoch=46, iter=30160/40000, loss=0.2754, lr=0.002831, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:28:43 2021-01-17 21:24:59 [INFO] [TRAIN] epoch=46, iter=30170/40000, loss=0.2373, lr=0.002828, batch_cost=0.5330, reader_cost=0.0001 | ETA 01:27:19 2021-01-17 21:25:04 [INFO] [TRAIN] epoch=46, iter=30180/40000, loss=0.1781, lr=0.002825, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:28:36 2021-01-17 21:25:09 [INFO] [TRAIN] epoch=46, iter=30190/40000, loss=0.1876, lr=0.002823, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:28:24 2021-01-17 21:25:15 [INFO] [TRAIN] epoch=46, iter=30200/40000, loss=0.1746, lr=0.002820, batch_cost=0.5420, reader_cost=0.0001 | ETA 01:28:31 2021-01-17 21:25:20 [INFO] [TRAIN] epoch=46, iter=30210/40000, loss=0.2287, lr=0.002818, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:28:18 2021-01-17 21:25:26 [INFO] [TRAIN] epoch=46, iter=30220/40000, loss=0.1968, lr=0.002815, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:27:37 2021-01-17 21:25:31 [INFO] [TRAIN] epoch=46, iter=30230/40000, loss=0.1682, lr=0.002812, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:27:51 2021-01-17 21:25:36 [INFO] [TRAIN] epoch=46, iter=30240/40000, loss=0.1496, lr=0.002810, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:27:51 2021-01-17 21:25:42 [INFO] [TRAIN] epoch=46, iter=30250/40000, loss=0.2520, lr=0.002807, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:26:58 2021-01-17 21:25:47 [INFO] [TRAIN] epoch=46, iter=30260/40000, loss=0.3094, lr=0.002805, batch_cost=0.5419, reader_cost=0.0001 | ETA 01:27:58 2021-01-17 21:25:53 [INFO] [TRAIN] epoch=46, iter=30270/40000, loss=0.2603, lr=0.002802, batch_cost=0.5404, reader_cost=0.0001 | ETA 01:27:37 2021-01-17 21:25:58 [INFO] [TRAIN] epoch=46, iter=30280/40000, loss=0.2098, lr=0.002800, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:28:08 2021-01-17 21:26:03 [INFO] [TRAIN] epoch=46, iter=30290/40000, loss=0.2597, lr=0.002797, batch_cost=0.5339, reader_cost=0.0001 | ETA 01:26:24 2021-01-17 21:26:09 [INFO] [TRAIN] epoch=46, iter=30300/40000, loss=0.1783, lr=0.002794, batch_cost=0.5394, reader_cost=0.0001 | ETA 01:27:11 2021-01-17 21:26:14 [INFO] [TRAIN] epoch=46, iter=30310/40000, loss=0.2074, lr=0.002792, batch_cost=0.5355, reader_cost=0.0001 | ETA 01:26:29 2021-01-17 21:26:20 [INFO] [TRAIN] epoch=46, iter=30320/40000, loss=0.1824, lr=0.002789, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:26:52 2021-01-17 21:26:25 [INFO] [TRAIN] epoch=46, iter=30330/40000, loss=0.1335, lr=0.002787, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:27:33 2021-01-17 21:26:30 [INFO] [TRAIN] epoch=46, iter=30340/40000, loss=0.2667, lr=0.002784, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:27:04 2021-01-17 21:26:36 [INFO] [TRAIN] epoch=46, iter=30350/40000, loss=0.1832, lr=0.002781, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:26:44 2021-01-17 21:26:41 [INFO] [TRAIN] epoch=46, iter=30360/40000, loss=0.2080, lr=0.002779, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:26:54 2021-01-17 21:26:47 [INFO] [TRAIN] epoch=46, iter=30370/40000, loss=0.2291, lr=0.002776, batch_cost=0.5443, reader_cost=0.0001 | ETA 01:27:22 2021-01-17 21:26:52 [INFO] [TRAIN] epoch=46, iter=30380/40000, loss=0.2514, lr=0.002774, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:25:55 2021-01-17 21:26:57 [INFO] [TRAIN] epoch=46, iter=30390/40000, loss=0.2281, lr=0.002771, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:26:34 2021-01-17 21:27:03 [INFO] [TRAIN] epoch=46, iter=30400/40000, loss=0.1789, lr=0.002768, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:26:22 2021-01-17 21:27:08 [INFO] [TRAIN] epoch=47, iter=30410/40000, loss=0.1743, lr=0.002766, batch_cost=0.5314, reader_cost=0.0139 | ETA 01:24:55 2021-01-17 21:27:14 [INFO] [TRAIN] epoch=47, iter=30420/40000, loss=0.2357, lr=0.002763, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:26:45 2021-01-17 21:27:19 [INFO] [TRAIN] epoch=47, iter=30430/40000, loss=0.2258, lr=0.002761, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:26:04 2021-01-17 21:27:24 [INFO] [TRAIN] epoch=47, iter=30440/40000, loss=0.2372, lr=0.002758, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:25:42 2021-01-17 21:27:30 [INFO] [TRAIN] epoch=47, iter=30450/40000, loss=0.2166, lr=0.002755, batch_cost=0.5449, reader_cost=0.0001 | ETA 01:26:43 2021-01-17 21:27:35 [INFO] [TRAIN] epoch=47, iter=30460/40000, loss=0.2118, lr=0.002753, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:25:29 2021-01-17 21:27:41 [INFO] [TRAIN] epoch=47, iter=30470/40000, loss=0.2606, lr=0.002750, batch_cost=0.5371, reader_cost=0.0001 | ETA 01:25:18 2021-01-17 21:27:46 [INFO] [TRAIN] epoch=47, iter=30480/40000, loss=0.2045, lr=0.002748, batch_cost=0.5415, reader_cost=0.0001 | ETA 01:25:55 2021-01-17 21:27:51 [INFO] [TRAIN] epoch=47, iter=30490/40000, loss=0.2324, lr=0.002745, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:26:06 2021-01-17 21:27:57 [INFO] [TRAIN] epoch=47, iter=30500/40000, loss=0.2077, lr=0.002742, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:25:11 2021-01-17 21:28:02 [INFO] [TRAIN] epoch=47, iter=30510/40000, loss=0.1789, lr=0.002740, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:25:09 2021-01-17 21:28:08 [INFO] [TRAIN] epoch=47, iter=30520/40000, loss=0.2119, lr=0.002737, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:25:15 2021-01-17 21:28:13 [INFO] [TRAIN] epoch=47, iter=30530/40000, loss=0.1355, lr=0.002735, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:24:28 2021-01-17 21:28:18 [INFO] [TRAIN] epoch=47, iter=30540/40000, loss=0.1395, lr=0.002732, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:24:43 2021-01-17 21:28:24 [INFO] [TRAIN] epoch=47, iter=30550/40000, loss=0.1892, lr=0.002729, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:24:39 2021-01-17 21:28:29 [INFO] [TRAIN] epoch=47, iter=30560/40000, loss=0.1655, lr=0.002727, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:24:58 2021-01-17 21:28:34 [INFO] [TRAIN] epoch=47, iter=30570/40000, loss=0.1355, lr=0.002724, batch_cost=0.5408, reader_cost=0.0001 | ETA 01:25:00 2021-01-17 21:28:40 [INFO] [TRAIN] epoch=47, iter=30580/40000, loss=0.1987, lr=0.002722, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:24:22 2021-01-17 21:28:45 [INFO] [TRAIN] epoch=47, iter=30590/40000, loss=0.1606, lr=0.002719, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:24:50 2021-01-17 21:28:51 [INFO] [TRAIN] epoch=47, iter=30600/40000, loss=0.1905, lr=0.002716, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:24:14 2021-01-17 21:28:56 [INFO] [TRAIN] epoch=47, iter=30610/40000, loss=0.1628, lr=0.002714, batch_cost=0.5428, reader_cost=0.0001 | ETA 01:24:56 2021-01-17 21:29:01 [INFO] [TRAIN] epoch=47, iter=30620/40000, loss=0.1668, lr=0.002711, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:24:58 2021-01-17 21:29:07 [INFO] [TRAIN] epoch=47, iter=30630/40000, loss=0.1680, lr=0.002709, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:24:24 2021-01-17 21:29:12 [INFO] [TRAIN] epoch=47, iter=30640/40000, loss=0.2076, lr=0.002706, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:24:26 2021-01-17 21:29:18 [INFO] [TRAIN] epoch=47, iter=30650/40000, loss=0.2428, lr=0.002703, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:24:05 2021-01-17 21:29:23 [INFO] [TRAIN] epoch=47, iter=30660/40000, loss=0.1933, lr=0.002701, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:23:22 2021-01-17 21:29:29 [INFO] [TRAIN] epoch=47, iter=30670/40000, loss=0.2217, lr=0.002698, batch_cost=0.5443, reader_cost=0.0001 | ETA 01:24:38 2021-01-17 21:29:34 [INFO] [TRAIN] epoch=47, iter=30680/40000, loss=0.1854, lr=0.002696, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:23:20 2021-01-17 21:29:39 [INFO] [TRAIN] epoch=47, iter=30690/40000, loss=0.1392, lr=0.002693, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:23:38 2021-01-17 21:29:45 [INFO] [TRAIN] epoch=47, iter=30700/40000, loss=0.2640, lr=0.002690, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:23:29 2021-01-17 21:29:50 [INFO] [TRAIN] epoch=47, iter=30710/40000, loss=0.1848, lr=0.002688, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:23:11 2021-01-17 21:29:55 [INFO] [TRAIN] epoch=47, iter=30720/40000, loss=0.1996, lr=0.002685, batch_cost=0.5336, reader_cost=0.0001 | ETA 01:22:31 2021-01-17 21:30:01 [INFO] [TRAIN] epoch=47, iter=30730/40000, loss=0.2544, lr=0.002683, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:22:48 2021-01-17 21:30:06 [INFO] [TRAIN] epoch=47, iter=30740/40000, loss=0.1958, lr=0.002680, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:22:39 2021-01-17 21:30:11 [INFO] [TRAIN] epoch=47, iter=30750/40000, loss=0.2014, lr=0.002677, batch_cost=0.5309, reader_cost=0.0001 | ETA 01:21:51 2021-01-17 21:30:17 [INFO] [TRAIN] epoch=47, iter=30760/40000, loss=0.2176, lr=0.002675, batch_cost=0.5423, reader_cost=0.0001 | ETA 01:23:30 2021-01-17 21:30:22 [INFO] [TRAIN] epoch=47, iter=30770/40000, loss=0.1331, lr=0.002672, batch_cost=0.5438, reader_cost=0.0001 | ETA 01:23:38 2021-01-17 21:30:28 [INFO] [TRAIN] epoch=47, iter=30780/40000, loss=0.2049, lr=0.002670, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:22:21 2021-01-17 21:30:33 [INFO] [TRAIN] epoch=47, iter=30790/40000, loss=0.2045, lr=0.002667, batch_cost=0.5433, reader_cost=0.0001 | ETA 01:23:23 2021-01-17 21:30:38 [INFO] [TRAIN] epoch=47, iter=30800/40000, loss=0.1834, lr=0.002664, batch_cost=0.5398, reader_cost=0.0001 | ETA 01:22:46 2021-01-17 21:30:44 [INFO] [TRAIN] epoch=47, iter=30810/40000, loss=0.2110, lr=0.002662, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:22:42 2021-01-17 21:30:49 [INFO] [TRAIN] epoch=47, iter=30820/40000, loss=0.2102, lr=0.002659, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:22:12 2021-01-17 21:30:55 [INFO] [TRAIN] epoch=47, iter=30830/40000, loss=0.2168, lr=0.002657, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:21:52 2021-01-17 21:31:00 [INFO] [TRAIN] epoch=47, iter=30840/40000, loss=0.2284, lr=0.002654, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:22:39 2021-01-17 21:31:05 [INFO] [TRAIN] epoch=47, iter=30850/40000, loss=0.2421, lr=0.002651, batch_cost=0.5406, reader_cost=0.0001 | ETA 01:22:26 2021-01-17 21:31:11 [INFO] [TRAIN] epoch=47, iter=30860/40000, loss=0.2102, lr=0.002649, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:22:27 2021-01-17 21:31:16 [INFO] [TRAIN] epoch=47, iter=30870/40000, loss=0.2126, lr=0.002646, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:22:25 2021-01-17 21:31:22 [INFO] [TRAIN] epoch=47, iter=30880/40000, loss=0.2384, lr=0.002644, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:21:49 2021-01-17 21:31:27 [INFO] [TRAIN] epoch=47, iter=30890/40000, loss=0.2011, lr=0.002641, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:21:51 2021-01-17 21:31:32 [INFO] [TRAIN] epoch=47, iter=30900/40000, loss=0.2165, lr=0.002638, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:22:32 2021-01-17 21:31:38 [INFO] [TRAIN] epoch=47, iter=30910/40000, loss=0.2267, lr=0.002636, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:21:42 2021-01-17 21:31:43 [INFO] [TRAIN] epoch=47, iter=30920/40000, loss=0.2138, lr=0.002633, batch_cost=0.5424, reader_cost=0.0001 | ETA 01:22:05 2021-01-17 21:31:49 [INFO] [TRAIN] epoch=47, iter=30930/40000, loss=0.2337, lr=0.002630, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:21:54 2021-01-17 21:31:54 [INFO] [TRAIN] epoch=47, iter=30940/40000, loss=0.1863, lr=0.002628, batch_cost=0.5426, reader_cost=0.0001 | ETA 01:21:55 2021-01-17 21:31:59 [INFO] [TRAIN] epoch=47, iter=30950/40000, loss=0.1809, lr=0.002625, batch_cost=0.5365, reader_cost=0.0001 | ETA 01:20:55 2021-01-17 21:32:05 [INFO] [TRAIN] epoch=47, iter=30960/40000, loss=0.2109, lr=0.002623, batch_cost=0.5388, reader_cost=0.0001 | ETA 01:21:10 2021-01-17 21:32:10 [INFO] [TRAIN] epoch=47, iter=30970/40000, loss=0.1546, lr=0.002620, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:20:52 2021-01-17 21:32:16 [INFO] [TRAIN] epoch=47, iter=30980/40000, loss=0.1973, lr=0.002617, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:21:00 2021-01-17 21:32:21 [INFO] [TRAIN] epoch=47, iter=30990/40000, loss=0.1734, lr=0.002615, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:20:53 2021-01-17 21:32:26 [INFO] [TRAIN] epoch=47, iter=31000/40000, loss=0.1942, lr=0.002612, batch_cost=0.5351, reader_cost=0.0001 | ETA 01:20:16 2021-01-17 21:32:26 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 21:32:47 [INFO] [EVAL] #Images=1449 mIoU=0.7973 Acc=0.9545 Kappa=0.8986 2021-01-17 21:32:47 [INFO] [EVAL] Class IoU: [0.9473 0.9163 0.4412 0.9008 0.6883 0.8497 0.9555 0.8988 0.9341 0.4527 0.9033 0.5105 0.9023 0.9045 0.8742 0.8769 0.7016 0.898 0.532 0.8716 0.7846] 2021-01-17 21:32:47 [INFO] [EVAL] Class Acc: [0.9656 0.952 0.4572 0.9496 0.8101 0.9044 0.982 0.9555 0.9581 0.7265 0.9628 0.9083 0.9467 0.9442 0.9358 0.9448 0.8458 0.964 0.8313 0.9674 0.94 ] 2021-01-17 21:32:51 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 21:32:56 [INFO] [TRAIN] epoch=47, iter=31010/40000, loss=0.1237, lr=0.002610, batch_cost=0.5361, reader_cost=0.0001 | ETA 01:20:19 2021-01-17 21:33:01 [INFO] [TRAIN] epoch=47, iter=31020/40000, loss=0.2144, lr=0.002607, batch_cost=0.5437, reader_cost=0.0001 | ETA 01:21:22 2021-01-17 21:33:07 [INFO] [TRAIN] epoch=47, iter=31030/40000, loss=0.1990, lr=0.002604, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:20:31 2021-01-17 21:33:12 [INFO] [TRAIN] epoch=47, iter=31040/40000, loss=0.1962, lr=0.002602, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:20:31 2021-01-17 21:33:17 [INFO] [TRAIN] epoch=47, iter=31050/40000, loss=0.1867, lr=0.002599, batch_cost=0.5351, reader_cost=0.0001 | ETA 01:19:49 2021-01-17 21:33:23 [INFO] [TRAIN] epoch=47, iter=31060/40000, loss=0.2208, lr=0.002597, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:20:38 2021-01-17 21:33:28 [INFO] [TRAIN] epoch=48, iter=31070/40000, loss=0.2299, lr=0.002594, batch_cost=0.5364, reader_cost=0.0187 | ETA 01:19:50 2021-01-17 21:33:34 [INFO] [TRAIN] epoch=48, iter=31080/40000, loss=0.1578, lr=0.002591, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:20:04 2021-01-17 21:33:39 [INFO] [TRAIN] epoch=48, iter=31090/40000, loss=0.2221, lr=0.002589, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:20:04 2021-01-17 21:33:44 [INFO] [TRAIN] epoch=48, iter=31100/40000, loss=0.2273, lr=0.002586, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:20:15 2021-01-17 21:33:50 [INFO] [TRAIN] epoch=48, iter=31110/40000, loss=0.2649, lr=0.002583, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:20:12 2021-01-17 21:33:55 [INFO] [TRAIN] epoch=48, iter=31120/40000, loss=0.1403, lr=0.002581, batch_cost=0.5396, reader_cost=0.0001 | ETA 01:19:51 2021-01-17 21:34:01 [INFO] [TRAIN] epoch=48, iter=31130/40000, loss=0.2284, lr=0.002578, batch_cost=0.5364, reader_cost=0.0001 | ETA 01:19:17 2021-01-17 21:34:06 [INFO] [TRAIN] epoch=48, iter=31140/40000, loss=0.1885, lr=0.002576, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:19:27 2021-01-17 21:34:11 [INFO] [TRAIN] epoch=48, iter=31150/40000, loss=0.1788, lr=0.002573, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:19:29 2021-01-17 21:34:17 [INFO] [TRAIN] epoch=48, iter=31160/40000, loss=0.1271, lr=0.002570, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:19:19 2021-01-17 21:34:22 [INFO] [TRAIN] epoch=48, iter=31170/40000, loss=0.2236, lr=0.002568, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:18:51 2021-01-17 21:34:28 [INFO] [TRAIN] epoch=48, iter=31180/40000, loss=0.2216, lr=0.002565, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:19:08 2021-01-17 21:34:33 [INFO] [TRAIN] epoch=48, iter=31190/40000, loss=0.2072, lr=0.002563, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:18:36 2021-01-17 21:34:38 [INFO] [TRAIN] epoch=48, iter=31200/40000, loss=0.1913, lr=0.002560, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:19:26 2021-01-17 21:34:44 [INFO] [TRAIN] epoch=48, iter=31210/40000, loss=0.1978, lr=0.002557, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:19:17 2021-01-17 21:34:49 [INFO] [TRAIN] epoch=48, iter=31220/40000, loss=0.2721, lr=0.002555, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:18:44 2021-01-17 21:34:54 [INFO] [TRAIN] epoch=48, iter=31230/40000, loss=0.1395, lr=0.002552, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:18:20 2021-01-17 21:35:00 [INFO] [TRAIN] epoch=48, iter=31240/40000, loss=0.1379, lr=0.002549, batch_cost=0.5478, reader_cost=0.0001 | ETA 01:19:58 2021-01-17 21:35:05 [INFO] [TRAIN] epoch=48, iter=31250/40000, loss=0.1941, lr=0.002547, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:18:45 2021-01-17 21:35:11 [INFO] [TRAIN] epoch=48, iter=31260/40000, loss=0.2207, lr=0.002544, batch_cost=0.5415, reader_cost=0.0001 | ETA 01:18:52 2021-01-17 21:35:16 [INFO] [TRAIN] epoch=48, iter=31270/40000, loss=0.2236, lr=0.002542, batch_cost=0.5429, reader_cost=0.0001 | ETA 01:18:59 2021-01-17 21:35:22 [INFO] [TRAIN] epoch=48, iter=31280/40000, loss=0.2252, lr=0.002539, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:18:04 2021-01-17 21:35:27 [INFO] [TRAIN] epoch=48, iter=31290/40000, loss=0.2231, lr=0.002536, batch_cost=0.5371, reader_cost=0.0001 | ETA 01:17:58 2021-01-17 21:35:32 [INFO] [TRAIN] epoch=48, iter=31300/40000, loss=0.2264, lr=0.002534, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:18:01 2021-01-17 21:35:38 [INFO] [TRAIN] epoch=48, iter=31310/40000, loss=0.2204, lr=0.002531, batch_cost=0.5417, reader_cost=0.0001 | ETA 01:18:27 2021-01-17 21:35:43 [INFO] [TRAIN] epoch=48, iter=31320/40000, loss=0.1751, lr=0.002528, batch_cost=0.5340, reader_cost=0.0001 | ETA 01:17:14 2021-01-17 21:35:48 [INFO] [TRAIN] epoch=48, iter=31330/40000, loss=0.1746, lr=0.002526, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:17:14 2021-01-17 21:35:54 [INFO] [TRAIN] epoch=48, iter=31340/40000, loss=0.2208, lr=0.002523, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:17:33 2021-01-17 21:35:59 [INFO] [TRAIN] epoch=48, iter=31350/40000, loss=0.2240, lr=0.002521, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:17:53 2021-01-17 21:36:05 [INFO] [TRAIN] epoch=48, iter=31360/40000, loss=0.2588, lr=0.002518, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:17:51 2021-01-17 21:36:10 [INFO] [TRAIN] epoch=48, iter=31370/40000, loss=0.2097, lr=0.002515, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:17:21 2021-01-17 21:36:15 [INFO] [TRAIN] epoch=48, iter=31380/40000, loss=0.2287, lr=0.002513, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:17:34 2021-01-17 21:36:21 [INFO] [TRAIN] epoch=48, iter=31390/40000, loss=0.1859, lr=0.002510, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:17:41 2021-01-17 21:36:26 [INFO] [TRAIN] epoch=48, iter=31400/40000, loss=0.2072, lr=0.002507, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:16:56 2021-01-17 21:36:32 [INFO] [TRAIN] epoch=48, iter=31410/40000, loss=0.2627, lr=0.002505, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:17:07 2021-01-17 21:36:37 [INFO] [TRAIN] epoch=48, iter=31420/40000, loss=0.1958, lr=0.002502, batch_cost=0.5348, reader_cost=0.0001 | ETA 01:16:28 2021-01-17 21:36:42 [INFO] [TRAIN] epoch=48, iter=31430/40000, loss=0.2644, lr=0.002500, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:16:55 2021-01-17 21:36:48 [INFO] [TRAIN] epoch=48, iter=31440/40000, loss=0.2474, lr=0.002497, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:16:57 2021-01-17 21:36:53 [INFO] [TRAIN] epoch=48, iter=31450/40000, loss=0.1843, lr=0.002494, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:17:04 2021-01-17 21:36:59 [INFO] [TRAIN] epoch=48, iter=31460/40000, loss=0.2303, lr=0.002492, batch_cost=0.5434, reader_cost=0.0001 | ETA 01:17:20 2021-01-17 21:37:04 [INFO] [TRAIN] epoch=48, iter=31470/40000, loss=0.1935, lr=0.002489, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:16:37 2021-01-17 21:37:09 [INFO] [TRAIN] epoch=48, iter=31480/40000, loss=0.1933, lr=0.002486, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:15:53 2021-01-17 21:37:15 [INFO] [TRAIN] epoch=48, iter=31490/40000, loss=0.2853, lr=0.002484, batch_cost=0.5426, reader_cost=0.0001 | ETA 01:16:57 2021-01-17 21:37:20 [INFO] [TRAIN] epoch=48, iter=31500/40000, loss=0.2143, lr=0.002481, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:16:38 2021-01-17 21:37:25 [INFO] [TRAIN] epoch=48, iter=31510/40000, loss=0.2900, lr=0.002479, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:16:24 2021-01-17 21:37:31 [INFO] [TRAIN] epoch=48, iter=31520/40000, loss=0.2038, lr=0.002476, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:16:42 2021-01-17 21:37:36 [INFO] [TRAIN] epoch=48, iter=31530/40000, loss=0.2120, lr=0.002473, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:15:46 2021-01-17 21:37:42 [INFO] [TRAIN] epoch=48, iter=31540/40000, loss=0.2170, lr=0.002471, batch_cost=0.5330, reader_cost=0.0001 | ETA 01:15:09 2021-01-17 21:37:47 [INFO] [TRAIN] epoch=48, iter=31550/40000, loss=0.1945, lr=0.002468, batch_cost=0.5367, reader_cost=0.0001 | ETA 01:15:34 2021-01-17 21:37:52 [INFO] [TRAIN] epoch=48, iter=31560/40000, loss=0.2140, lr=0.002465, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:15:43 2021-01-17 21:37:58 [INFO] [TRAIN] epoch=48, iter=31570/40000, loss=0.1842, lr=0.002463, batch_cost=0.5388, reader_cost=0.0001 | ETA 01:15:41 2021-01-17 21:38:03 [INFO] [TRAIN] epoch=48, iter=31580/40000, loss=0.1887, lr=0.002460, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:15:52 2021-01-17 21:38:09 [INFO] [TRAIN] epoch=48, iter=31590/40000, loss=0.2092, lr=0.002458, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:15:05 2021-01-17 21:38:14 [INFO] [TRAIN] epoch=48, iter=31600/40000, loss=0.2137, lr=0.002455, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:15:28 2021-01-17 21:38:19 [INFO] [TRAIN] epoch=48, iter=31610/40000, loss=0.2222, lr=0.002452, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:15:03 2021-01-17 21:38:25 [INFO] [TRAIN] epoch=48, iter=31620/40000, loss=0.2610, lr=0.002450, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:15:07 2021-01-17 21:38:30 [INFO] [TRAIN] epoch=48, iter=31630/40000, loss=0.2219, lr=0.002447, batch_cost=0.5370, reader_cost=0.0001 | ETA 01:14:54 2021-01-17 21:38:35 [INFO] [TRAIN] epoch=48, iter=31640/40000, loss=0.2332, lr=0.002444, batch_cost=0.5389, reader_cost=0.0001 | ETA 01:15:05 2021-01-17 21:38:41 [INFO] [TRAIN] epoch=48, iter=31650/40000, loss=0.1833, lr=0.002442, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:15:31 2021-01-17 21:38:46 [INFO] [TRAIN] epoch=48, iter=31660/40000, loss=0.1970, lr=0.002439, batch_cost=0.5423, reader_cost=0.0001 | ETA 01:15:22 2021-01-17 21:38:52 [INFO] [TRAIN] epoch=48, iter=31670/40000, loss=0.1984, lr=0.002437, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:15:20 2021-01-17 21:38:57 [INFO] [TRAIN] epoch=48, iter=31680/40000, loss=0.2135, lr=0.002434, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:14:40 2021-01-17 21:39:02 [INFO] [TRAIN] epoch=48, iter=31690/40000, loss=0.1967, lr=0.002431, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:14:21 2021-01-17 21:39:08 [INFO] [TRAIN] epoch=48, iter=31700/40000, loss=0.1923, lr=0.002429, batch_cost=0.5453, reader_cost=0.0001 | ETA 01:15:25 2021-01-17 21:39:13 [INFO] [TRAIN] epoch=48, iter=31710/40000, loss=0.2155, lr=0.002426, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:14:51 2021-01-17 21:39:19 [INFO] [TRAIN] epoch=48, iter=31720/40000, loss=0.2245, lr=0.002423, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:14:10 2021-01-17 21:39:24 [INFO] [TRAIN] epoch=49, iter=31730/40000, loss=0.1951, lr=0.002421, batch_cost=0.5322, reader_cost=0.0170 | ETA 01:13:21 2021-01-17 21:39:29 [INFO] [TRAIN] epoch=49, iter=31740/40000, loss=0.2032, lr=0.002418, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:13:46 2021-01-17 21:39:35 [INFO] [TRAIN] epoch=49, iter=31750/40000, loss=0.1737, lr=0.002415, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:14:14 2021-01-17 21:39:40 [INFO] [TRAIN] epoch=49, iter=31760/40000, loss=0.1541, lr=0.002413, batch_cost=0.5469, reader_cost=0.0001 | ETA 01:15:06 2021-01-17 21:39:46 [INFO] [TRAIN] epoch=49, iter=31770/40000, loss=0.1963, lr=0.002410, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:13:33 2021-01-17 21:39:51 [INFO] [TRAIN] epoch=49, iter=31780/40000, loss=0.2217, lr=0.002408, batch_cost=0.5416, reader_cost=0.0001 | ETA 01:14:11 2021-01-17 21:39:56 [INFO] [TRAIN] epoch=49, iter=31790/40000, loss=0.1806, lr=0.002405, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:13:38 2021-01-17 21:40:02 [INFO] [TRAIN] epoch=49, iter=31800/40000, loss=0.1776, lr=0.002402, batch_cost=0.5373, reader_cost=0.0001 | ETA 01:13:26 2021-01-17 21:40:07 [INFO] [TRAIN] epoch=49, iter=31810/40000, loss=0.1834, lr=0.002400, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:13:29 2021-01-17 21:40:13 [INFO] [TRAIN] epoch=49, iter=31820/40000, loss=0.2059, lr=0.002397, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:13:29 2021-01-17 21:40:18 [INFO] [TRAIN] epoch=49, iter=31830/40000, loss=0.1899, lr=0.002394, batch_cost=0.5409, reader_cost=0.0001 | ETA 01:13:38 2021-01-17 21:40:23 [INFO] [TRAIN] epoch=49, iter=31840/40000, loss=0.1718, lr=0.002392, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:13:16 2021-01-17 21:40:29 [INFO] [TRAIN] epoch=49, iter=31850/40000, loss=0.2044, lr=0.002389, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:13:07 2021-01-17 21:40:34 [INFO] [TRAIN] epoch=49, iter=31860/40000, loss=0.1943, lr=0.002386, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:13:23 2021-01-17 21:40:40 [INFO] [TRAIN] epoch=49, iter=31870/40000, loss=0.1931, lr=0.002384, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:12:50 2021-01-17 21:40:45 [INFO] [TRAIN] epoch=49, iter=31880/40000, loss=0.2175, lr=0.002381, batch_cost=0.5420, reader_cost=0.0001 | ETA 01:13:21 2021-01-17 21:40:50 [INFO] [TRAIN] epoch=49, iter=31890/40000, loss=0.1891, lr=0.002379, batch_cost=0.5418, reader_cost=0.0001 | ETA 01:13:13 2021-01-17 21:40:56 [INFO] [TRAIN] epoch=49, iter=31900/40000, loss=0.1629, lr=0.002376, batch_cost=0.5399, reader_cost=0.0001 | ETA 01:12:53 2021-01-17 21:41:01 [INFO] [TRAIN] epoch=49, iter=31910/40000, loss=0.1867, lr=0.002373, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:12:28 2021-01-17 21:41:07 [INFO] [TRAIN] epoch=49, iter=31920/40000, loss=0.1795, lr=0.002371, batch_cost=0.5376, reader_cost=0.0001 | ETA 01:12:23 2021-01-17 21:41:12 [INFO] [TRAIN] epoch=49, iter=31930/40000, loss=0.2287, lr=0.002368, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:12:27 2021-01-17 21:41:17 [INFO] [TRAIN] epoch=49, iter=31940/40000, loss=0.1904, lr=0.002365, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:12:14 2021-01-17 21:41:23 [INFO] [TRAIN] epoch=49, iter=31950/40000, loss=0.1192, lr=0.002363, batch_cost=0.5363, reader_cost=0.0001 | ETA 01:11:57 2021-01-17 21:41:28 [INFO] [TRAIN] epoch=49, iter=31960/40000, loss=0.1955, lr=0.002360, batch_cost=0.5422, reader_cost=0.0001 | ETA 01:12:39 2021-01-17 21:41:33 [INFO] [TRAIN] epoch=49, iter=31970/40000, loss=0.2178, lr=0.002357, batch_cost=0.5388, reader_cost=0.0001 | ETA 01:12:06 2021-01-17 21:41:39 [INFO] [TRAIN] epoch=49, iter=31980/40000, loss=0.1828, lr=0.002355, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:12:14 2021-01-17 21:41:44 [INFO] [TRAIN] epoch=49, iter=31990/40000, loss=0.2434, lr=0.002352, batch_cost=0.5436, reader_cost=0.0001 | ETA 01:12:34 2021-01-17 21:41:50 [INFO] [TRAIN] epoch=49, iter=32000/40000, loss=0.1795, lr=0.002350, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:11:53 2021-01-17 21:41:50 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 21:42:10 [INFO] [EVAL] #Images=1449 mIoU=0.7973 Acc=0.9545 Kappa=0.8988 2021-01-17 21:42:10 [INFO] [EVAL] Class IoU: [0.9474 0.9195 0.4367 0.9064 0.6959 0.8498 0.9544 0.9029 0.9338 0.4719 0.9074 0.536 0.9053 0.9167 0.8763 0.8783 0.6392 0.8847 0.5309 0.8605 0.7891] 2021-01-17 21:42:10 [INFO] [EVAL] Class Acc: [0.9661 0.951 0.4533 0.9432 0.7931 0.9042 0.9834 0.9685 0.962 0.6719 0.9537 0.933 0.9505 0.9563 0.9318 0.9511 0.8408 0.963 0.8248 0.9641 0.9366] 2021-01-17 21:42:14 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 21:42:19 [INFO] [TRAIN] epoch=49, iter=32010/40000, loss=0.2006, lr=0.002347, batch_cost=0.5333, reader_cost=0.0001 | ETA 01:11:01 2021-01-17 21:42:25 [INFO] [TRAIN] epoch=49, iter=32020/40000, loss=0.1281, lr=0.002344, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:11:36 2021-01-17 21:42:30 [INFO] [TRAIN] epoch=49, iter=32030/40000, loss=0.2218, lr=0.002342, batch_cost=0.5402, reader_cost=0.0001 | ETA 01:11:45 2021-01-17 21:42:35 [INFO] [TRAIN] epoch=49, iter=32040/40000, loss=0.2025, lr=0.002339, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:11:44 2021-01-17 21:42:41 [INFO] [TRAIN] epoch=49, iter=32050/40000, loss=0.1954, lr=0.002336, batch_cost=0.5406, reader_cost=0.0001 | ETA 01:11:37 2021-01-17 21:42:46 [INFO] [TRAIN] epoch=49, iter=32060/40000, loss=0.1959, lr=0.002334, batch_cost=0.5387, reader_cost=0.0001 | ETA 01:11:17 2021-01-17 21:42:52 [INFO] [TRAIN] epoch=49, iter=32070/40000, loss=0.1951, lr=0.002331, batch_cost=0.5411, reader_cost=0.0001 | ETA 01:11:31 2021-01-17 21:42:57 [INFO] [TRAIN] epoch=49, iter=32080/40000, loss=0.2295, lr=0.002328, batch_cost=0.5435, reader_cost=0.0001 | ETA 01:11:44 2021-01-17 21:43:02 [INFO] [TRAIN] epoch=49, iter=32090/40000, loss=0.1557, lr=0.002326, batch_cost=0.5320, reader_cost=0.0001 | ETA 01:10:07 2021-01-17 21:43:08 [INFO] [TRAIN] epoch=49, iter=32100/40000, loss=0.1712, lr=0.002323, batch_cost=0.5414, reader_cost=0.0001 | ETA 01:11:17 2021-01-17 21:43:13 [INFO] [TRAIN] epoch=49, iter=32110/40000, loss=0.2148, lr=0.002320, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:10:42 2021-01-17 21:43:18 [INFO] [TRAIN] epoch=49, iter=32120/40000, loss=0.2220, lr=0.002318, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:10:23 2021-01-17 21:43:24 [INFO] [TRAIN] epoch=49, iter=32130/40000, loss=0.2022, lr=0.002315, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:10:43 2021-01-17 21:43:29 [INFO] [TRAIN] epoch=49, iter=32140/40000, loss=0.1714, lr=0.002312, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:10:36 2021-01-17 21:43:35 [INFO] [TRAIN] epoch=49, iter=32150/40000, loss=0.2111, lr=0.002310, batch_cost=0.5366, reader_cost=0.0001 | ETA 01:10:12 2021-01-17 21:43:40 [INFO] [TRAIN] epoch=49, iter=32160/40000, loss=0.1905, lr=0.002307, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:10:21 2021-01-17 21:43:45 [INFO] [TRAIN] epoch=49, iter=32170/40000, loss=0.2260, lr=0.002305, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:10:32 2021-01-17 21:43:51 [INFO] [TRAIN] epoch=49, iter=32180/40000, loss=0.1802, lr=0.002302, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:10:02 2021-01-17 21:43:56 [INFO] [TRAIN] epoch=49, iter=32190/40000, loss=0.1668, lr=0.002299, batch_cost=0.5407, reader_cost=0.0001 | ETA 01:10:22 2021-01-17 21:44:02 [INFO] [TRAIN] epoch=49, iter=32200/40000, loss=0.1676, lr=0.002297, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:10:06 2021-01-17 21:44:07 [INFO] [TRAIN] epoch=49, iter=32210/40000, loss=0.2130, lr=0.002294, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:09:28 2021-01-17 21:44:12 [INFO] [TRAIN] epoch=49, iter=32220/40000, loss=0.2205, lr=0.002291, batch_cost=0.5425, reader_cost=0.0001 | ETA 01:10:20 2021-01-17 21:44:18 [INFO] [TRAIN] epoch=49, iter=32230/40000, loss=0.3153, lr=0.002289, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:09:38 2021-01-17 21:44:23 [INFO] [TRAIN] epoch=49, iter=32240/40000, loss=0.2115, lr=0.002286, batch_cost=0.5347, reader_cost=0.0001 | ETA 01:09:09 2021-01-17 21:44:28 [INFO] [TRAIN] epoch=49, iter=32250/40000, loss=0.1957, lr=0.002283, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:09:52 2021-01-17 21:44:34 [INFO] [TRAIN] epoch=49, iter=32260/40000, loss=0.2790, lr=0.002281, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:09:00 2021-01-17 21:44:39 [INFO] [TRAIN] epoch=49, iter=32270/40000, loss=0.2430, lr=0.002278, batch_cost=0.5430, reader_cost=0.0001 | ETA 01:09:57 2021-01-17 21:44:45 [INFO] [TRAIN] epoch=49, iter=32280/40000, loss=0.1586, lr=0.002275, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:09:11 2021-01-17 21:44:50 [INFO] [TRAIN] epoch=49, iter=32290/40000, loss=0.1894, lr=0.002273, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:08:52 2021-01-17 21:44:55 [INFO] [TRAIN] epoch=49, iter=32300/40000, loss=0.2336, lr=0.002270, batch_cost=0.5410, reader_cost=0.0001 | ETA 01:09:25 2021-01-17 21:45:01 [INFO] [TRAIN] epoch=49, iter=32310/40000, loss=0.1649, lr=0.002267, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:09:02 2021-01-17 21:45:06 [INFO] [TRAIN] epoch=49, iter=32320/40000, loss=0.1874, lr=0.002265, batch_cost=0.5341, reader_cost=0.0001 | ETA 01:08:21 2021-01-17 21:45:12 [INFO] [TRAIN] epoch=49, iter=32330/40000, loss=0.2149, lr=0.002262, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:08:48 2021-01-17 21:45:17 [INFO] [TRAIN] epoch=49, iter=32340/40000, loss=0.1793, lr=0.002259, batch_cost=0.5392, reader_cost=0.0001 | ETA 01:08:49 2021-01-17 21:45:22 [INFO] [TRAIN] epoch=49, iter=32350/40000, loss=0.2260, lr=0.002257, batch_cost=0.5305, reader_cost=0.0001 | ETA 01:07:38 2021-01-17 21:45:28 [INFO] [TRAIN] epoch=49, iter=32360/40000, loss=0.2493, lr=0.002254, batch_cost=0.5421, reader_cost=0.0001 | ETA 01:09:01 2021-01-17 21:45:33 [INFO] [TRAIN] epoch=49, iter=32370/40000, loss=0.2286, lr=0.002251, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:08:21 2021-01-17 21:45:38 [INFO] [TRAIN] epoch=49, iter=32380/40000, loss=0.2171, lr=0.002249, batch_cost=0.5424, reader_cost=0.0001 | ETA 01:08:53 2021-01-17 21:45:44 [INFO] [TRAIN] epoch=50, iter=32390/40000, loss=0.3282, lr=0.002246, batch_cost=0.5298, reader_cost=0.0197 | ETA 01:07:12 2021-01-17 21:45:49 [INFO] [TRAIN] epoch=50, iter=32400/40000, loss=0.1733, lr=0.002244, batch_cost=0.5395, reader_cost=0.0001 | ETA 01:08:20 2021-01-17 21:45:55 [INFO] [TRAIN] epoch=50, iter=32410/40000, loss=0.2412, lr=0.002241, batch_cost=0.5427, reader_cost=0.0001 | ETA 01:08:38 2021-01-17 21:46:00 [INFO] [TRAIN] epoch=50, iter=32420/40000, loss=0.2005, lr=0.002238, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:07:59 2021-01-17 21:46:05 [INFO] [TRAIN] epoch=50, iter=32430/40000, loss=0.2264, lr=0.002236, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:08:00 2021-01-17 21:46:11 [INFO] [TRAIN] epoch=50, iter=32440/40000, loss=0.2202, lr=0.002233, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:07:44 2021-01-17 21:46:16 [INFO] [TRAIN] epoch=50, iter=32450/40000, loss=0.1533, lr=0.002230, batch_cost=0.5400, reader_cost=0.0001 | ETA 01:07:56 2021-01-17 21:46:21 [INFO] [TRAIN] epoch=50, iter=32460/40000, loss=0.1800, lr=0.002228, batch_cost=0.5350, reader_cost=0.0001 | ETA 01:07:13 2021-01-17 21:46:27 [INFO] [TRAIN] epoch=50, iter=32470/40000, loss=0.1945, lr=0.002225, batch_cost=0.5358, reader_cost=0.0001 | ETA 01:07:14 2021-01-17 21:46:32 [INFO] [TRAIN] epoch=50, iter=32480/40000, loss=0.2010, lr=0.002222, batch_cost=0.5345, reader_cost=0.0001 | ETA 01:06:59 2021-01-17 21:46:38 [INFO] [TRAIN] epoch=50, iter=32490/40000, loss=0.1772, lr=0.002220, batch_cost=0.5377, reader_cost=0.0001 | ETA 01:07:18 2021-01-17 21:46:43 [INFO] [TRAIN] epoch=50, iter=32500/40000, loss=0.1452, lr=0.002217, batch_cost=0.5353, reader_cost=0.0001 | ETA 01:06:54 2021-01-17 21:46:48 [INFO] [TRAIN] epoch=50, iter=32510/40000, loss=0.1771, lr=0.002214, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:07:28 2021-01-17 21:46:54 [INFO] [TRAIN] epoch=50, iter=32520/40000, loss=0.1647, lr=0.002212, batch_cost=0.5380, reader_cost=0.0001 | ETA 01:07:04 2021-01-17 21:46:59 [INFO] [TRAIN] epoch=50, iter=32530/40000, loss=0.1672, lr=0.002209, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:07:01 2021-01-17 21:47:04 [INFO] [TRAIN] epoch=50, iter=32540/40000, loss=0.2690, lr=0.002206, batch_cost=0.5328, reader_cost=0.0001 | ETA 01:06:14 2021-01-17 21:47:10 [INFO] [TRAIN] epoch=50, iter=32550/40000, loss=0.1989, lr=0.002204, batch_cost=0.5428, reader_cost=0.0001 | ETA 01:07:23 2021-01-17 21:47:15 [INFO] [TRAIN] epoch=50, iter=32560/40000, loss=0.2222, lr=0.002201, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:06:44 2021-01-17 21:47:21 [INFO] [TRAIN] epoch=50, iter=32570/40000, loss=0.2271, lr=0.002198, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:06:22 2021-01-17 21:47:26 [INFO] [TRAIN] epoch=50, iter=32580/40000, loss=0.2440, lr=0.002196, batch_cost=0.5445, reader_cost=0.0001 | ETA 01:07:20 2021-01-17 21:47:31 [INFO] [TRAIN] epoch=50, iter=32590/40000, loss=0.2572, lr=0.002193, batch_cost=0.5424, reader_cost=0.0001 | ETA 01:06:59 2021-01-17 21:47:37 [INFO] [TRAIN] epoch=50, iter=32600/40000, loss=0.1705, lr=0.002190, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:06:25 2021-01-17 21:47:42 [INFO] [TRAIN] epoch=50, iter=32610/40000, loss=0.1980, lr=0.002188, batch_cost=0.5386, reader_cost=0.0001 | ETA 01:06:20 2021-01-17 21:47:48 [INFO] [TRAIN] epoch=50, iter=32620/40000, loss=0.2557, lr=0.002185, batch_cost=0.5381, reader_cost=0.0001 | ETA 01:06:11 2021-01-17 21:47:53 [INFO] [TRAIN] epoch=50, iter=32630/40000, loss=0.2514, lr=0.002182, batch_cost=0.5424, reader_cost=0.0001 | ETA 01:06:37 2021-01-17 21:47:58 [INFO] [TRAIN] epoch=50, iter=32640/40000, loss=0.2108, lr=0.002180, batch_cost=0.5366, reader_cost=0.0001 | ETA 01:05:49 2021-01-17 21:48:04 [INFO] [TRAIN] epoch=50, iter=32650/40000, loss=0.1735, lr=0.002177, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:06:18 2021-01-17 21:48:09 [INFO] [TRAIN] epoch=50, iter=32660/40000, loss=0.2492, lr=0.002174, batch_cost=0.5332, reader_cost=0.0001 | ETA 01:05:13 2021-01-17 21:48:15 [INFO] [TRAIN] epoch=50, iter=32670/40000, loss=0.1846, lr=0.002172, batch_cost=0.5374, reader_cost=0.0001 | ETA 01:05:39 2021-01-17 21:48:20 [INFO] [TRAIN] epoch=50, iter=32680/40000, loss=0.1930, lr=0.002169, batch_cost=0.5310, reader_cost=0.0001 | ETA 01:04:46 2021-01-17 21:48:25 [INFO] [TRAIN] epoch=50, iter=32690/40000, loss=0.1990, lr=0.002166, batch_cost=0.5359, reader_cost=0.0001 | ETA 01:05:17 2021-01-17 21:48:31 [INFO] [TRAIN] epoch=50, iter=32700/40000, loss=0.1812, lr=0.002164, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:05:10 2021-01-17 21:48:36 [INFO] [TRAIN] epoch=50, iter=32710/40000, loss=0.1944, lr=0.002161, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:05:45 2021-01-17 21:48:41 [INFO] [TRAIN] epoch=50, iter=32720/40000, loss=0.1775, lr=0.002158, batch_cost=0.5407, reader_cost=0.0002 | ETA 01:05:35 2021-01-17 21:48:47 [INFO] [TRAIN] epoch=50, iter=32730/40000, loss=0.1445, lr=0.002156, batch_cost=0.5368, reader_cost=0.0001 | ETA 01:05:02 2021-01-17 21:48:52 [INFO] [TRAIN] epoch=50, iter=32740/40000, loss=0.2025, lr=0.002153, batch_cost=0.5424, reader_cost=0.0001 | ETA 01:05:38 2021-01-17 21:48:58 [INFO] [TRAIN] epoch=50, iter=32750/40000, loss=0.2313, lr=0.002150, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:04:54 2021-01-17 21:49:03 [INFO] [TRAIN] epoch=50, iter=32760/40000, loss=0.1586, lr=0.002148, batch_cost=0.5403, reader_cost=0.0001 | ETA 01:05:11 2021-01-17 21:49:08 [INFO] [TRAIN] epoch=50, iter=32770/40000, loss=0.2397, lr=0.002145, batch_cost=0.5441, reader_cost=0.0001 | ETA 01:05:34 2021-01-17 21:49:14 [INFO] [TRAIN] epoch=50, iter=32780/40000, loss=0.2163, lr=0.002142, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:04:46 2021-01-17 21:49:19 [INFO] [TRAIN] epoch=50, iter=32790/40000, loss=0.1730, lr=0.002140, batch_cost=0.5344, reader_cost=0.0001 | ETA 01:04:13 2021-01-17 21:49:24 [INFO] [TRAIN] epoch=50, iter=32800/40000, loss=0.2263, lr=0.002137, batch_cost=0.5343, reader_cost=0.0001 | ETA 01:04:06 2021-01-17 21:49:30 [INFO] [TRAIN] epoch=50, iter=32810/40000, loss=0.1932, lr=0.002134, batch_cost=0.5404, reader_cost=0.0001 | ETA 01:04:45 2021-01-17 21:49:35 [INFO] [TRAIN] epoch=50, iter=32820/40000, loss=0.1690, lr=0.002132, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:04:30 2021-01-17 21:49:41 [INFO] [TRAIN] epoch=50, iter=32830/40000, loss=0.2652, lr=0.002129, batch_cost=0.5343, reader_cost=0.0001 | ETA 01:03:50 2021-01-17 21:49:46 [INFO] [TRAIN] epoch=50, iter=32840/40000, loss=0.1578, lr=0.002126, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:04:04 2021-01-17 21:49:51 [INFO] [TRAIN] epoch=50, iter=32850/40000, loss=0.2752, lr=0.002124, batch_cost=0.5355, reader_cost=0.0001 | ETA 01:03:48 2021-01-17 21:49:57 [INFO] [TRAIN] epoch=50, iter=32860/40000, loss=0.2485, lr=0.002121, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:04:00 2021-01-17 21:50:02 [INFO] [TRAIN] epoch=50, iter=32870/40000, loss=0.2621, lr=0.002118, batch_cost=0.5398, reader_cost=0.0001 | ETA 01:04:08 2021-01-17 21:50:08 [INFO] [TRAIN] epoch=50, iter=32880/40000, loss=0.2004, lr=0.002116, batch_cost=0.5428, reader_cost=0.0001 | ETA 01:04:24 2021-01-17 21:50:13 [INFO] [TRAIN] epoch=50, iter=32890/40000, loss=0.2166, lr=0.002113, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:03:47 2021-01-17 21:50:18 [INFO] [TRAIN] epoch=50, iter=32900/40000, loss=0.1670, lr=0.002110, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:03:26 2021-01-17 21:50:24 [INFO] [TRAIN] epoch=50, iter=32910/40000, loss=0.2071, lr=0.002108, batch_cost=0.5421, reader_cost=0.0001 | ETA 01:04:03 2021-01-17 21:50:29 [INFO] [TRAIN] epoch=50, iter=32920/40000, loss=0.2212, lr=0.002105, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:03:52 2021-01-17 21:50:34 [INFO] [TRAIN] epoch=50, iter=32930/40000, loss=0.1937, lr=0.002102, batch_cost=0.5375, reader_cost=0.0001 | ETA 01:03:20 2021-01-17 21:50:40 [INFO] [TRAIN] epoch=50, iter=32940/40000, loss=0.1560, lr=0.002100, batch_cost=0.5419, reader_cost=0.0001 | ETA 01:03:45 2021-01-17 21:50:45 [INFO] [TRAIN] epoch=50, iter=32950/40000, loss=0.2158, lr=0.002097, batch_cost=0.5431, reader_cost=0.0001 | ETA 01:03:49 2021-01-17 21:50:51 [INFO] [TRAIN] epoch=50, iter=32960/40000, loss=0.2142, lr=0.002094, batch_cost=0.5401, reader_cost=0.0001 | ETA 01:03:21 2021-01-17 21:50:56 [INFO] [TRAIN] epoch=50, iter=32970/40000, loss=0.1555, lr=0.002092, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:03:11 2021-01-17 21:51:02 [INFO] [TRAIN] epoch=50, iter=32980/40000, loss=0.1626, lr=0.002089, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:02:55 2021-01-17 21:51:07 [INFO] [TRAIN] epoch=50, iter=32990/40000, loss=0.2570, lr=0.002086, batch_cost=0.5476, reader_cost=0.0001 | ETA 01:03:58 2021-01-17 21:51:12 [INFO] [TRAIN] epoch=50, iter=33000/40000, loss=0.1752, lr=0.002083, batch_cost=0.5442, reader_cost=0.0001 | ETA 01:03:29 2021-01-17 21:51:12 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 21:51:32 [INFO] [EVAL] #Images=1449 mIoU=0.7984 Acc=0.9546 Kappa=0.8995 2021-01-17 21:51:32 [INFO] [EVAL] Class IoU: [0.9479 0.9188 0.4334 0.9021 0.6768 0.8434 0.9548 0.9072 0.9311 0.4704 0.9084 0.5155 0.9027 0.9084 0.8832 0.8763 0.6928 0.8894 0.5054 0.9148 0.784 ] 2021-01-17 21:51:32 [INFO] [EVAL] Class Acc: [0.9684 0.952 0.4469 0.946 0.7789 0.9004 0.9799 0.9626 0.9549 0.6522 0.947 0.9402 0.947 0.9556 0.9294 0.9461 0.8222 0.9556 0.8186 0.9588 0.9275] 2021-01-17 21:51:36 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 21:51:42 [INFO] [TRAIN] epoch=50, iter=33010/40000, loss=0.2119, lr=0.002081, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:02:27 2021-01-17 21:51:47 [INFO] [TRAIN] epoch=50, iter=33020/40000, loss=0.1717, lr=0.002078, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:02:38 2021-01-17 21:51:53 [INFO] [TRAIN] epoch=50, iter=33030/40000, loss=0.2074, lr=0.002075, batch_cost=0.5346, reader_cost=0.0001 | ETA 01:02:06 2021-01-17 21:51:58 [INFO] [TRAIN] epoch=50, iter=33040/40000, loss=0.1519, lr=0.002073, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:02:12 2021-01-17 21:52:03 [INFO] [TRAIN] epoch=50, iter=33050/40000, loss=0.2403, lr=0.002070, batch_cost=0.5112, reader_cost=0.0001 | ETA 00:59:12 2021-01-17 21:52:09 [INFO] [TRAIN] epoch=51, iter=33060/40000, loss=0.1821, lr=0.002067, batch_cost=0.5556, reader_cost=0.0144 | ETA 01:04:15 2021-01-17 21:52:14 [INFO] [TRAIN] epoch=51, iter=33070/40000, loss=0.2036, lr=0.002065, batch_cost=0.5360, reader_cost=0.0001 | ETA 01:01:54 2021-01-17 21:52:19 [INFO] [TRAIN] epoch=51, iter=33080/40000, loss=0.2234, lr=0.002062, batch_cost=0.5405, reader_cost=0.0001 | ETA 01:02:20 2021-01-17 21:52:25 [INFO] [TRAIN] epoch=51, iter=33090/40000, loss=0.2303, lr=0.002059, batch_cost=0.5425, reader_cost=0.0001 | ETA 01:02:28 2021-01-17 21:52:30 [INFO] [TRAIN] epoch=51, iter=33100/40000, loss=0.2597, lr=0.002057, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:01:51 2021-01-17 21:52:35 [INFO] [TRAIN] epoch=51, iter=33110/40000, loss=0.1829, lr=0.002054, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:01:27 2021-01-17 21:52:41 [INFO] [TRAIN] epoch=51, iter=33120/40000, loss=0.2119, lr=0.002051, batch_cost=0.5448, reader_cost=0.0001 | ETA 01:02:28 2021-01-17 21:52:46 [INFO] [TRAIN] epoch=51, iter=33130/40000, loss=0.2047, lr=0.002049, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:01:58 2021-01-17 21:52:52 [INFO] [TRAIN] epoch=51, iter=33140/40000, loss=0.2260, lr=0.002046, batch_cost=0.5352, reader_cost=0.0001 | ETA 01:01:11 2021-01-17 21:52:57 [INFO] [TRAIN] epoch=51, iter=33150/40000, loss=0.2176, lr=0.002043, batch_cost=0.5393, reader_cost=0.0001 | ETA 01:01:34 2021-01-17 21:53:02 [INFO] [TRAIN] epoch=51, iter=33160/40000, loss=0.2036, lr=0.002041, batch_cost=0.5384, reader_cost=0.0001 | ETA 01:01:22 2021-01-17 21:53:08 [INFO] [TRAIN] epoch=51, iter=33170/40000, loss=0.1580, lr=0.002038, batch_cost=0.5412, reader_cost=0.0001 | ETA 01:01:36 2021-01-17 21:53:13 [INFO] [TRAIN] epoch=51, iter=33180/40000, loss=0.1616, lr=0.002035, batch_cost=0.5369, reader_cost=0.0001 | ETA 01:01:01 2021-01-17 21:53:19 [INFO] [TRAIN] epoch=51, iter=33190/40000, loss=0.1921, lr=0.002033, batch_cost=0.5382, reader_cost=0.0001 | ETA 01:01:04 2021-01-17 21:53:24 [INFO] [TRAIN] epoch=51, iter=33200/40000, loss=0.2015, lr=0.002030, batch_cost=0.5362, reader_cost=0.0001 | ETA 01:00:45 2021-01-17 21:53:29 [INFO] [TRAIN] epoch=51, iter=33210/40000, loss=0.1896, lr=0.002027, batch_cost=0.5379, reader_cost=0.0001 | ETA 01:00:52 2021-01-17 21:53:35 [INFO] [TRAIN] epoch=51, iter=33220/40000, loss=0.1996, lr=0.002024, batch_cost=0.5391, reader_cost=0.0001 | ETA 01:00:55 2021-01-17 21:53:40 [INFO] [TRAIN] epoch=51, iter=33230/40000, loss=0.1982, lr=0.002022, batch_cost=0.5372, reader_cost=0.0001 | ETA 01:00:36 2021-01-17 21:53:46 [INFO] [TRAIN] epoch=51, iter=33240/40000, loss=0.1709, lr=0.002019, batch_cost=0.5390, reader_cost=0.0001 | ETA 01:00:43 2021-01-17 21:53:51 [INFO] [TRAIN] epoch=51, iter=33250/40000, loss=0.1771, lr=0.002016, batch_cost=0.5385, reader_cost=0.0001 | ETA 01:00:34 2021-01-17 21:53:56 [INFO] [TRAIN] epoch=51, iter=33260/40000, loss=0.1442, lr=0.002014, batch_cost=0.5413, reader_cost=0.0001 | ETA 01:00:48 2021-01-17 21:54:02 [INFO] [TRAIN] epoch=51, iter=33270/40000, loss=0.1885, lr=0.002011, batch_cost=0.5356, reader_cost=0.0001 | ETA 01:00:04 2021-01-17 21:54:07 [INFO] [TRAIN] epoch=51, iter=33280/40000, loss=0.1993, lr=0.002008, batch_cost=0.5356, reader_cost=0.0001 | ETA 00:59:59 2021-01-17 21:54:12 [INFO] [TRAIN] epoch=51, iter=33290/40000, loss=0.2220, lr=0.002006, batch_cost=0.5378, reader_cost=0.0001 | ETA 01:00:08 2021-01-17 21:54:18 [INFO] [TRAIN] epoch=51, iter=33300/40000, loss=0.1948, lr=0.002003, batch_cost=0.5383, reader_cost=0.0001 | ETA 01:00:06 2021-01-17 21:54:23 [INFO] [TRAIN] epoch=51, iter=33310/40000, loss=0.1820, lr=0.002000, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:59:50 2021-01-17 21:54:28 [INFO] [TRAIN] epoch=51, iter=33320/40000, loss=0.1588, lr=0.001998, batch_cost=0.5322, reader_cost=0.0001 | ETA 00:59:15 2021-01-17 21:54:34 [INFO] [TRAIN] epoch=51, iter=33330/40000, loss=0.1705, lr=0.001995, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:59:52 2021-01-17 21:54:39 [INFO] [TRAIN] epoch=51, iter=33340/40000, loss=0.1661, lr=0.001992, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:59:56 2021-01-17 21:54:45 [INFO] [TRAIN] epoch=51, iter=33350/40000, loss=0.2338, lr=0.001990, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:59:46 2021-01-17 21:54:50 [INFO] [TRAIN] epoch=51, iter=33360/40000, loss=0.1826, lr=0.001987, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:59:54 2021-01-17 21:54:56 [INFO] [TRAIN] epoch=51, iter=33370/40000, loss=0.1773, lr=0.001984, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:59:52 2021-01-17 21:55:01 [INFO] [TRAIN] epoch=51, iter=33380/40000, loss=0.1775, lr=0.001981, batch_cost=0.5444, reader_cost=0.0001 | ETA 01:00:04 2021-01-17 21:55:06 [INFO] [TRAIN] epoch=51, iter=33390/40000, loss=0.1840, lr=0.001979, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:59:07 2021-01-17 21:55:12 [INFO] [TRAIN] epoch=51, iter=33400/40000, loss=0.1978, lr=0.001976, batch_cost=0.5353, reader_cost=0.0001 | ETA 00:58:53 2021-01-17 21:55:17 [INFO] [TRAIN] epoch=51, iter=33410/40000, loss=0.1286, lr=0.001973, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:59:04 2021-01-17 21:55:22 [INFO] [TRAIN] epoch=51, iter=33420/40000, loss=0.1922, lr=0.001971, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:59:06 2021-01-17 21:55:28 [INFO] [TRAIN] epoch=51, iter=33430/40000, loss=0.1903, lr=0.001968, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:58:42 2021-01-17 21:55:33 [INFO] [TRAIN] epoch=51, iter=33440/40000, loss=0.1467, lr=0.001965, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:58:49 2021-01-17 21:55:39 [INFO] [TRAIN] epoch=51, iter=33450/40000, loss=0.1857, lr=0.001963, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:58:52 2021-01-17 21:55:44 [INFO] [TRAIN] epoch=51, iter=33460/40000, loss=0.1725, lr=0.001960, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:58:28 2021-01-17 21:55:49 [INFO] [TRAIN] epoch=51, iter=33470/40000, loss=0.1809, lr=0.001957, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:58:34 2021-01-17 21:55:55 [INFO] [TRAIN] epoch=51, iter=33480/40000, loss=0.2023, lr=0.001954, batch_cost=0.5351, reader_cost=0.0001 | ETA 00:58:08 2021-01-17 21:56:00 [INFO] [TRAIN] epoch=51, iter=33490/40000, loss=0.2069, lr=0.001952, batch_cost=0.5326, reader_cost=0.0001 | ETA 00:57:47 2021-01-17 21:56:05 [INFO] [TRAIN] epoch=51, iter=33500/40000, loss=0.2485, lr=0.001949, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:58:48 2021-01-17 21:56:11 [INFO] [TRAIN] epoch=51, iter=33510/40000, loss=0.1933, lr=0.001946, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:58:11 2021-01-17 21:56:16 [INFO] [TRAIN] epoch=51, iter=33520/40000, loss=0.2049, lr=0.001944, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:58:18 2021-01-17 21:56:22 [INFO] [TRAIN] epoch=51, iter=33530/40000, loss=0.1656, lr=0.001941, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:58:07 2021-01-17 21:56:27 [INFO] [TRAIN] epoch=51, iter=33540/40000, loss=0.2079, lr=0.001938, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:57:58 2021-01-17 21:56:32 [INFO] [TRAIN] epoch=51, iter=33550/40000, loss=0.2344, lr=0.001936, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:57:46 2021-01-17 21:56:38 [INFO] [TRAIN] epoch=51, iter=33560/40000, loss=0.2278, lr=0.001933, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:57:52 2021-01-17 21:56:43 [INFO] [TRAIN] epoch=51, iter=33570/40000, loss=0.2173, lr=0.001930, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:57:54 2021-01-17 21:56:49 [INFO] [TRAIN] epoch=51, iter=33580/40000, loss=0.2271, lr=0.001927, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:58:07 2021-01-17 21:56:54 [INFO] [TRAIN] epoch=51, iter=33590/40000, loss=0.1579, lr=0.001925, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:57:41 2021-01-17 21:56:59 [INFO] [TRAIN] epoch=51, iter=33600/40000, loss=0.1850, lr=0.001922, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:57:15 2021-01-17 21:57:05 [INFO] [TRAIN] epoch=51, iter=33610/40000, loss=0.1912, lr=0.001919, batch_cost=0.5450, reader_cost=0.0001 | ETA 00:58:02 2021-01-17 21:57:10 [INFO] [TRAIN] epoch=51, iter=33620/40000, loss=0.2033, lr=0.001917, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:57:20 2021-01-17 21:57:16 [INFO] [TRAIN] epoch=51, iter=33630/40000, loss=0.2422, lr=0.001914, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:57:24 2021-01-17 21:57:21 [INFO] [TRAIN] epoch=51, iter=33640/40000, loss=0.1531, lr=0.001911, batch_cost=0.5429, reader_cost=0.0001 | ETA 00:57:32 2021-01-17 21:57:26 [INFO] [TRAIN] epoch=51, iter=33650/40000, loss=0.1699, lr=0.001909, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:56:53 2021-01-17 21:57:32 [INFO] [TRAIN] epoch=51, iter=33660/40000, loss=0.1653, lr=0.001906, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:56:56 2021-01-17 21:57:37 [INFO] [TRAIN] epoch=51, iter=33670/40000, loss=0.2042, lr=0.001903, batch_cost=0.5352, reader_cost=0.0001 | ETA 00:56:27 2021-01-17 21:57:43 [INFO] [TRAIN] epoch=51, iter=33680/40000, loss=0.1961, lr=0.001900, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:57:10 2021-01-17 21:57:48 [INFO] [TRAIN] epoch=51, iter=33690/40000, loss=0.2120, lr=0.001898, batch_cost=0.5357, reader_cost=0.0001 | ETA 00:56:20 2021-01-17 21:57:53 [INFO] [TRAIN] epoch=51, iter=33700/40000, loss=0.1708, lr=0.001895, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:56:45 2021-01-17 21:57:59 [INFO] [TRAIN] epoch=51, iter=33710/40000, loss=0.2217, lr=0.001892, batch_cost=0.5181, reader_cost=0.0001 | ETA 00:54:19 2021-01-17 21:58:04 [INFO] [TRAIN] epoch=52, iter=33720/40000, loss=0.2315, lr=0.001890, batch_cost=0.5536, reader_cost=0.0141 | ETA 00:57:56 2021-01-17 21:58:09 [INFO] [TRAIN] epoch=52, iter=33730/40000, loss=0.2123, lr=0.001887, batch_cost=0.5407, reader_cost=0.0001 | ETA 00:56:30 2021-01-17 21:58:15 [INFO] [TRAIN] epoch=52, iter=33740/40000, loss=0.1656, lr=0.001884, batch_cost=0.5404, reader_cost=0.0001 | ETA 00:56:22 2021-01-17 21:58:20 [INFO] [TRAIN] epoch=52, iter=33750/40000, loss=0.2137, lr=0.001881, batch_cost=0.5341, reader_cost=0.0001 | ETA 00:55:38 2021-01-17 21:58:26 [INFO] [TRAIN] epoch=52, iter=33760/40000, loss=0.1783, lr=0.001879, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:56:03 2021-01-17 21:58:31 [INFO] [TRAIN] epoch=52, iter=33770/40000, loss=0.2825, lr=0.001876, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:55:56 2021-01-17 21:58:36 [INFO] [TRAIN] epoch=52, iter=33780/40000, loss=0.1858, lr=0.001873, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:56:00 2021-01-17 21:58:42 [INFO] [TRAIN] epoch=52, iter=33790/40000, loss=0.2048, lr=0.001871, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:56:05 2021-01-17 21:58:47 [INFO] [TRAIN] epoch=52, iter=33800/40000, loss=0.1724, lr=0.001868, batch_cost=0.5353, reader_cost=0.0001 | ETA 00:55:18 2021-01-17 21:58:53 [INFO] [TRAIN] epoch=52, iter=33810/40000, loss=0.1965, lr=0.001865, batch_cost=0.5343, reader_cost=0.0001 | ETA 00:55:07 2021-01-17 21:58:58 [INFO] [TRAIN] epoch=52, iter=33820/40000, loss=0.1734, lr=0.001863, batch_cost=0.5342, reader_cost=0.0001 | ETA 00:55:01 2021-01-17 21:59:03 [INFO] [TRAIN] epoch=52, iter=33830/40000, loss=0.2091, lr=0.001860, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:55:16 2021-01-17 21:59:09 [INFO] [TRAIN] epoch=52, iter=33840/40000, loss=0.2206, lr=0.001857, batch_cost=0.5329, reader_cost=0.0001 | ETA 00:54:42 2021-01-17 21:59:14 [INFO] [TRAIN] epoch=52, iter=33850/40000, loss=0.1920, lr=0.001854, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:55:17 2021-01-17 21:59:19 [INFO] [TRAIN] epoch=52, iter=33860/40000, loss=0.1886, lr=0.001852, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:55:05 2021-01-17 21:59:25 [INFO] [TRAIN] epoch=52, iter=33870/40000, loss=0.2065, lr=0.001849, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:54:55 2021-01-17 21:59:30 [INFO] [TRAIN] epoch=52, iter=33880/40000, loss=0.1923, lr=0.001846, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:55:23 2021-01-17 21:59:35 [INFO] [TRAIN] epoch=52, iter=33890/40000, loss=0.2242, lr=0.001844, batch_cost=0.5340, reader_cost=0.0001 | ETA 00:54:22 2021-01-17 21:59:41 [INFO] [TRAIN] epoch=52, iter=33900/40000, loss=0.2142, lr=0.001841, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:54:34 2021-01-17 21:59:46 [INFO] [TRAIN] epoch=52, iter=33910/40000, loss=0.1777, lr=0.001838, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:54:41 2021-01-17 21:59:52 [INFO] [TRAIN] epoch=52, iter=33920/40000, loss=0.1495, lr=0.001835, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:54:36 2021-01-17 21:59:57 [INFO] [TRAIN] epoch=52, iter=33930/40000, loss=0.1648, lr=0.001833, batch_cost=0.5443, reader_cost=0.0001 | ETA 00:55:03 2021-01-17 22:00:02 [INFO] [TRAIN] epoch=52, iter=33940/40000, loss=0.2801, lr=0.001830, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:54:08 2021-01-17 22:00:08 [INFO] [TRAIN] epoch=52, iter=33950/40000, loss=0.1414, lr=0.001827, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:54:09 2021-01-17 22:00:13 [INFO] [TRAIN] epoch=52, iter=33960/40000, loss=0.1492, lr=0.001825, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:54:10 2021-01-17 22:00:19 [INFO] [TRAIN] epoch=52, iter=33970/40000, loss=0.1870, lr=0.001822, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:54:33 2021-01-17 22:00:24 [INFO] [TRAIN] epoch=52, iter=33980/40000, loss=0.1836, lr=0.001819, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:54:22 2021-01-17 22:00:29 [INFO] [TRAIN] epoch=52, iter=33990/40000, loss=0.2047, lr=0.001816, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:53:35 2021-01-17 22:00:35 [INFO] [TRAIN] epoch=52, iter=34000/40000, loss=0.1698, lr=0.001814, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:54:06 2021-01-17 22:00:35 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:00:55 [INFO] [EVAL] #Images=1449 mIoU=0.7987 Acc=0.9550 Kappa=0.8996 2021-01-17 22:00:55 [INFO] [EVAL] Class IoU: [0.9476 0.9262 0.4346 0.9031 0.7129 0.8468 0.9475 0.8956 0.9366 0.4601 0.9017 0.542 0.9069 0.9075 0.8851 0.8779 0.6558 0.894 0.4945 0.9106 0.7857] 2021-01-17 22:00:55 [INFO] [EVAL] Class Acc: [0.9653 0.957 0.454 0.9517 0.8437 0.9036 0.9832 0.9527 0.9645 0.6934 0.9599 0.9317 0.9509 0.9523 0.9391 0.9454 0.8664 0.9655 0.8529 0.9663 0.9299] 2021-01-17 22:00:59 [INFO] [EVAL] The model with the best validation mIoU (0.7993) was saved at iter 25000. 2021-01-17 22:01:04 [INFO] [TRAIN] epoch=52, iter=34010/40000, loss=0.2041, lr=0.001811, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:54:01 2021-01-17 22:01:10 [INFO] [TRAIN] epoch=52, iter=34020/40000, loss=0.2513, lr=0.001808, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:53:54 2021-01-17 22:01:15 [INFO] [TRAIN] epoch=52, iter=34030/40000, loss=0.1723, lr=0.001805, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:53:51 2021-01-17 22:01:20 [INFO] [TRAIN] epoch=52, iter=34040/40000, loss=0.1849, lr=0.001803, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:53:08 2021-01-17 22:01:26 [INFO] [TRAIN] epoch=52, iter=34050/40000, loss=0.2016, lr=0.001800, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:53:41 2021-01-17 22:01:31 [INFO] [TRAIN] epoch=52, iter=34060/40000, loss=0.1685, lr=0.001797, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:53:27 2021-01-17 22:01:37 [INFO] [TRAIN] epoch=52, iter=34070/40000, loss=0.1639, lr=0.001795, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:53:12 2021-01-17 22:01:42 [INFO] [TRAIN] epoch=52, iter=34080/40000, loss=0.1451, lr=0.001792, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:53:04 2021-01-17 22:01:48 [INFO] [TRAIN] epoch=52, iter=34090/40000, loss=0.2199, lr=0.001789, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:53:12 2021-01-17 22:01:53 [INFO] [TRAIN] epoch=52, iter=34100/40000, loss=0.1887, lr=0.001786, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:53:13 2021-01-17 22:01:58 [INFO] [TRAIN] epoch=52, iter=34110/40000, loss=0.1584, lr=0.001784, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:52:57 2021-01-17 22:02:04 [INFO] [TRAIN] epoch=52, iter=34120/40000, loss=0.2361, lr=0.001781, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:52:53 2021-01-17 22:02:09 [INFO] [TRAIN] epoch=52, iter=34130/40000, loss=0.1802, lr=0.001778, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:52:38 2021-01-17 22:02:15 [INFO] [TRAIN] epoch=52, iter=34140/40000, loss=0.2007, lr=0.001775, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:52:29 2021-01-17 22:02:20 [INFO] [TRAIN] epoch=52, iter=34150/40000, loss=0.2285, lr=0.001773, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:52:49 2021-01-17 22:02:25 [INFO] [TRAIN] epoch=52, iter=34160/40000, loss=0.1803, lr=0.001770, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:52:45 2021-01-17 22:02:31 [INFO] [TRAIN] epoch=52, iter=34170/40000, loss=0.1475, lr=0.001767, batch_cost=0.5457, reader_cost=0.0001 | ETA 00:53:01 2021-01-17 22:02:36 [INFO] [TRAIN] epoch=52, iter=34180/40000, loss=0.1403, lr=0.001765, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:52:04 2021-01-17 22:02:42 [INFO] [TRAIN] epoch=52, iter=34190/40000, loss=0.1819, lr=0.001762, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:52:35 2021-01-17 22:02:47 [INFO] [TRAIN] epoch=52, iter=34200/40000, loss=0.1779, lr=0.001759, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:51:53 2021-01-17 22:02:52 [INFO] [TRAIN] epoch=52, iter=34210/40000, loss=0.1954, lr=0.001756, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:51:59 2021-01-17 22:02:58 [INFO] [TRAIN] epoch=52, iter=34220/40000, loss=0.1995, lr=0.001754, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:52:03 2021-01-17 22:03:03 [INFO] [TRAIN] epoch=52, iter=34230/40000, loss=0.2235, lr=0.001751, batch_cost=0.5356, reader_cost=0.0001 | ETA 00:51:30 2021-01-17 22:03:09 [INFO] [TRAIN] epoch=52, iter=34240/40000, loss=0.2550, lr=0.001748, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:51:39 2021-01-17 22:03:14 [INFO] [TRAIN] epoch=52, iter=34250/40000, loss=0.1918, lr=0.001745, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:51:31 2021-01-17 22:03:19 [INFO] [TRAIN] epoch=52, iter=34260/40000, loss=0.1468, lr=0.001743, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:51:29 2021-01-17 22:03:25 [INFO] [TRAIN] epoch=52, iter=34270/40000, loss=0.1798, lr=0.001740, batch_cost=0.5338, reader_cost=0.0001 | ETA 00:50:58 2021-01-17 22:03:30 [INFO] [TRAIN] epoch=52, iter=34280/40000, loss=0.2372, lr=0.001737, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:51:14 2021-01-17 22:03:35 [INFO] [TRAIN] epoch=52, iter=34290/40000, loss=0.2212, lr=0.001735, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:51:22 2021-01-17 22:03:41 [INFO] [TRAIN] epoch=52, iter=34300/40000, loss=0.1662, lr=0.001732, batch_cost=0.5437, reader_cost=0.0001 | ETA 00:51:39 2021-01-17 22:03:46 [INFO] [TRAIN] epoch=52, iter=34310/40000, loss=0.1615, lr=0.001729, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:50:44 2021-01-17 22:03:52 [INFO] [TRAIN] epoch=52, iter=34320/40000, loss=0.2031, lr=0.001726, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:51:04 2021-01-17 22:03:57 [INFO] [TRAIN] epoch=52, iter=34330/40000, loss=0.1319, lr=0.001724, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:50:50 2021-01-17 22:04:02 [INFO] [TRAIN] epoch=52, iter=34340/40000, loss=0.2690, lr=0.001721, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:51:09 2021-01-17 22:04:08 [INFO] [TRAIN] epoch=52, iter=34350/40000, loss=0.2503, lr=0.001718, batch_cost=0.5370, reader_cost=0.0001 | ETA 00:50:34 2021-01-17 22:04:13 [INFO] [TRAIN] epoch=52, iter=34360/40000, loss=0.1760, lr=0.001715, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:50:53 2021-01-17 22:04:18 [INFO] [TRAIN] epoch=52, iter=34370/40000, loss=0.2894, lr=0.001713, batch_cost=0.5257, reader_cost=0.0001 | ETA 00:49:19 2021-01-17 22:04:24 [INFO] [TRAIN] epoch=53, iter=34380/40000, loss=0.2344, lr=0.001710, batch_cost=0.5431, reader_cost=0.0148 | ETA 00:50:52 2021-01-17 22:04:29 [INFO] [TRAIN] epoch=53, iter=34390/40000, loss=0.2154, lr=0.001707, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:50:44 2021-01-17 22:04:35 [INFO] [TRAIN] epoch=53, iter=34400/40000, loss=0.1749, lr=0.001704, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:50:19 2021-01-17 22:04:40 [INFO] [TRAIN] epoch=53, iter=34410/40000, loss=0.2229, lr=0.001702, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:49:59 2021-01-17 22:04:45 [INFO] [TRAIN] epoch=53, iter=34420/40000, loss=0.2257, lr=0.001699, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:50:13 2021-01-17 22:04:51 [INFO] [TRAIN] epoch=53, iter=34430/40000, loss=0.1714, lr=0.001696, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:50:03 2021-01-17 22:04:56 [INFO] [TRAIN] epoch=53, iter=34440/40000, loss=0.1811, lr=0.001693, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:49:50 2021-01-17 22:05:02 [INFO] [TRAIN] epoch=53, iter=34450/40000, loss=0.2019, lr=0.001691, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:49:54 2021-01-17 22:05:07 [INFO] [TRAIN] epoch=53, iter=34460/40000, loss=0.1663, lr=0.001688, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:49:56 2021-01-17 22:05:12 [INFO] [TRAIN] epoch=53, iter=34470/40000, loss=0.2038, lr=0.001685, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:49:30 2021-01-17 22:05:18 [INFO] [TRAIN] epoch=53, iter=34480/40000, loss=0.1654, lr=0.001683, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:49:33 2021-01-17 22:05:23 [INFO] [TRAIN] epoch=53, iter=34490/40000, loss=0.1547, lr=0.001680, batch_cost=0.5326, reader_cost=0.0001 | ETA 00:48:54 2021-01-17 22:05:28 [INFO] [TRAIN] epoch=53, iter=34500/40000, loss=0.1915, lr=0.001677, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:49:11 2021-01-17 22:05:34 [INFO] [TRAIN] epoch=53, iter=34510/40000, loss=0.2694, lr=0.001674, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:49:36 2021-01-17 22:05:39 [INFO] [TRAIN] epoch=53, iter=34520/40000, loss=0.1954, lr=0.001672, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:49:09 2021-01-17 22:05:45 [INFO] [TRAIN] epoch=53, iter=34530/40000, loss=0.2229, lr=0.001669, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:49:11 2021-01-17 22:05:50 [INFO] [TRAIN] epoch=53, iter=34540/40000, loss=0.1757, lr=0.001666, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:48:53 2021-01-17 22:05:55 [INFO] [TRAIN] epoch=53, iter=34550/40000, loss=0.1830, lr=0.001663, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:49:23 2021-01-17 22:06:01 [INFO] [TRAIN] epoch=53, iter=34560/40000, loss=0.2206, lr=0.001661, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:48:41 2021-01-17 22:06:06 [INFO] [TRAIN] epoch=53, iter=34570/40000, loss=0.2349, lr=0.001658, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:48:50 2021-01-17 22:06:12 [INFO] [TRAIN] epoch=53, iter=34580/40000, loss=0.2175, lr=0.001655, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:48:29 2021-01-17 22:06:17 [INFO] [TRAIN] epoch=53, iter=34590/40000, loss=0.1607, lr=0.001652, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:48:45 2021-01-17 22:06:22 [INFO] [TRAIN] epoch=53, iter=34600/40000, loss=0.2094, lr=0.001650, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:48:35 2021-01-17 22:06:28 [INFO] [TRAIN] epoch=53, iter=34610/40000, loss=0.2149, lr=0.001647, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:48:35 2021-01-17 22:06:33 [INFO] [TRAIN] epoch=53, iter=34620/40000, loss=0.1570, lr=0.001644, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:48:15 2021-01-17 22:06:39 [INFO] [TRAIN] epoch=53, iter=34630/40000, loss=0.2528, lr=0.001641, batch_cost=0.5358, reader_cost=0.0001 | ETA 00:47:57 2021-01-17 22:06:44 [INFO] [TRAIN] epoch=53, iter=34640/40000, loss=0.2364, lr=0.001639, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:48:20 2021-01-17 22:06:49 [INFO] [TRAIN] epoch=53, iter=34650/40000, loss=0.1748, lr=0.001636, batch_cost=0.5366, reader_cost=0.0001 | ETA 00:47:50 2021-01-17 22:06:55 [INFO] [TRAIN] epoch=53, iter=34660/40000, loss=0.2761, lr=0.001633, batch_cost=0.5329, reader_cost=0.0001 | ETA 00:47:25 2021-01-17 22:07:00 [INFO] [TRAIN] epoch=53, iter=34670/40000, loss=0.2137, lr=0.001630, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:47:50 2021-01-17 22:07:05 [INFO] [TRAIN] epoch=53, iter=34680/40000, loss=0.1924, lr=0.001628, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:47:49 2021-01-17 22:07:11 [INFO] [TRAIN] epoch=53, iter=34690/40000, loss=0.2268, lr=0.001625, batch_cost=0.5476, reader_cost=0.0001 | ETA 00:48:27 2021-01-17 22:07:16 [INFO] [TRAIN] epoch=53, iter=34700/40000, loss=0.1819, lr=0.001622, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:47:35 2021-01-17 22:07:22 [INFO] [TRAIN] epoch=53, iter=34710/40000, loss=0.1869, lr=0.001619, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:47:33 2021-01-17 22:07:27 [INFO] [TRAIN] epoch=53, iter=34720/40000, loss=0.1904, lr=0.001617, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:47:22 2021-01-17 22:07:32 [INFO] [TRAIN] epoch=53, iter=34730/40000, loss=0.1713, lr=0.001614, batch_cost=0.5353, reader_cost=0.0001 | ETA 00:47:00 2021-01-17 22:07:38 [INFO] [TRAIN] epoch=53, iter=34740/40000, loss=0.1267, lr=0.001611, batch_cost=0.5319, reader_cost=0.0001 | ETA 00:46:37 2021-01-17 22:07:43 [INFO] [TRAIN] epoch=53, iter=34750/40000, loss=0.2353, lr=0.001608, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:47:11 2021-01-17 22:07:49 [INFO] [TRAIN] epoch=53, iter=34760/40000, loss=0.1611, lr=0.001606, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:47:09 2021-01-17 22:07:54 [INFO] [TRAIN] epoch=53, iter=34770/40000, loss=0.2513, lr=0.001603, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:47:11 2021-01-17 22:07:59 [INFO] [TRAIN] epoch=53, iter=34780/40000, loss=0.1472, lr=0.001600, batch_cost=0.5407, reader_cost=0.0001 | ETA 00:47:02 2021-01-17 22:08:05 [INFO] [TRAIN] epoch=53, iter=34790/40000, loss=0.3051, lr=0.001597, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:46:40 2021-01-17 22:08:10 [INFO] [TRAIN] epoch=53, iter=34800/40000, loss=0.1894, lr=0.001594, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:46:35 2021-01-17 22:08:16 [INFO] [TRAIN] epoch=53, iter=34810/40000, loss=0.1629, lr=0.001592, batch_cost=0.5354, reader_cost=0.0001 | ETA 00:46:18 2021-01-17 22:08:21 [INFO] [TRAIN] epoch=53, iter=34820/40000, loss=0.1589, lr=0.001589, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:46:08 2021-01-17 22:08:26 [INFO] [TRAIN] epoch=53, iter=34830/40000, loss=0.2102, lr=0.001586, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:46:20 2021-01-17 22:08:32 [INFO] [TRAIN] epoch=53, iter=34840/40000, loss=0.2365, lr=0.001583, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:46:21 2021-01-17 22:08:37 [INFO] [TRAIN] epoch=53, iter=34850/40000, loss=0.2014, lr=0.001581, batch_cost=0.5424, reader_cost=0.0001 | ETA 00:46:33 2021-01-17 22:08:42 [INFO] [TRAIN] epoch=53, iter=34860/40000, loss=0.1931, lr=0.001578, batch_cost=0.5442, reader_cost=0.0001 | ETA 00:46:37 2021-01-17 22:08:48 [INFO] [TRAIN] epoch=53, iter=34870/40000, loss=0.2017, lr=0.001575, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:46:01 2021-01-17 22:08:53 [INFO] [TRAIN] epoch=53, iter=34880/40000, loss=0.1508, lr=0.001572, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:45:55 2021-01-17 22:08:59 [INFO] [TRAIN] epoch=53, iter=34890/40000, loss=0.1601, lr=0.001570, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:45:56 2021-01-17 22:09:04 [INFO] [TRAIN] epoch=53, iter=34900/40000, loss=0.1860, lr=0.001567, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:45:34 2021-01-17 22:09:09 [INFO] [TRAIN] epoch=53, iter=34910/40000, loss=0.1457, lr=0.001564, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:45:40 2021-01-17 22:09:15 [INFO] [TRAIN] epoch=53, iter=34920/40000, loss=0.1497, lr=0.001561, batch_cost=0.5358, reader_cost=0.0001 | ETA 00:45:21 2021-01-17 22:09:20 [INFO] [TRAIN] epoch=53, iter=34930/40000, loss=0.1784, lr=0.001559, batch_cost=0.5407, reader_cost=0.0001 | ETA 00:45:41 2021-01-17 22:09:26 [INFO] [TRAIN] epoch=53, iter=34940/40000, loss=0.1578, lr=0.001556, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:45:26 2021-01-17 22:09:31 [INFO] [TRAIN] epoch=53, iter=34950/40000, loss=0.2529, lr=0.001553, batch_cost=0.5359, reader_cost=0.0001 | ETA 00:45:06 2021-01-17 22:09:36 [INFO] [TRAIN] epoch=53, iter=34960/40000, loss=0.1835, lr=0.001550, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:45:21 2021-01-17 22:09:42 [INFO] [TRAIN] epoch=53, iter=34970/40000, loss=0.1936, lr=0.001548, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:45:16 2021-01-17 22:09:47 [INFO] [TRAIN] epoch=53, iter=34980/40000, loss=0.1787, lr=0.001545, batch_cost=0.5444, reader_cost=0.0001 | ETA 00:45:32 2021-01-17 22:09:53 [INFO] [TRAIN] epoch=53, iter=34990/40000, loss=0.2185, lr=0.001542, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:44:50 2021-01-17 22:09:58 [INFO] [TRAIN] epoch=53, iter=35000/40000, loss=0.2308, lr=0.001539, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:44:52 2021-01-17 22:09:58 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:10:18 [INFO] [EVAL] #Images=1449 mIoU=0.8006 Acc=0.9557 Kappa=0.9016 2021-01-17 22:10:18 [INFO] [EVAL] Class IoU: [0.9489 0.9235 0.4407 0.8951 0.7001 0.8477 0.9487 0.9017 0.9379 0.4594 0.8934 0.5608 0.9108 0.9076 0.8948 0.8781 0.6613 0.8707 0.5277 0.9175 0.7859] 2021-01-17 22:10:18 [INFO] [EVAL] Class Acc: [0.9673 0.9563 0.4575 0.947 0.8077 0.9067 0.9852 0.9606 0.9646 0.6896 0.9452 0.9248 0.9519 0.9584 0.9393 0.9463 0.8152 0.9526 0.8395 0.9656 0.9474] 2021-01-17 22:10:25 [INFO] [EVAL] The model with the best validation mIoU (0.8006) was saved at iter 35000. 2021-01-17 22:10:30 [INFO] [TRAIN] epoch=53, iter=35010/40000, loss=0.1973, lr=0.001536, batch_cost=0.5354, reader_cost=0.0001 | ETA 00:44:31 2021-01-17 22:10:36 [INFO] [TRAIN] epoch=53, iter=35020/40000, loss=0.2369, lr=0.001534, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:44:47 2021-01-17 22:10:41 [INFO] [TRAIN] epoch=53, iter=35030/40000, loss=0.2144, lr=0.001531, batch_cost=0.5281, reader_cost=0.0001 | ETA 00:43:44 2021-01-17 22:10:47 [INFO] [TRAIN] epoch=54, iter=35040/40000, loss=0.1869, lr=0.001528, batch_cost=0.5449, reader_cost=0.0145 | ETA 00:45:02 2021-01-17 22:10:52 [INFO] [TRAIN] epoch=54, iter=35050/40000, loss=0.2055, lr=0.001525, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:44:44 2021-01-17 22:10:57 [INFO] [TRAIN] epoch=54, iter=35060/40000, loss=0.2415, lr=0.001523, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:44:14 2021-01-17 22:11:03 [INFO] [TRAIN] epoch=54, iter=35070/40000, loss=0.1831, lr=0.001520, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:44:26 2021-01-17 22:11:08 [INFO] [TRAIN] epoch=54, iter=35080/40000, loss=0.1795, lr=0.001517, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:44:25 2021-01-17 22:11:14 [INFO] [TRAIN] epoch=54, iter=35090/40000, loss=0.1575, lr=0.001514, batch_cost=0.5429, reader_cost=0.0001 | ETA 00:44:25 2021-01-17 22:11:19 [INFO] [TRAIN] epoch=54, iter=35100/40000, loss=0.2043, lr=0.001511, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:44:05 2021-01-17 22:11:24 [INFO] [TRAIN] epoch=54, iter=35110/40000, loss=0.1721, lr=0.001509, batch_cost=0.5446, reader_cost=0.0001 | ETA 00:44:23 2021-01-17 22:11:30 [INFO] [TRAIN] epoch=54, iter=35120/40000, loss=0.1850, lr=0.001506, batch_cost=0.5416, reader_cost=0.0001 | ETA 00:44:03 2021-01-17 22:11:35 [INFO] [TRAIN] epoch=54, iter=35130/40000, loss=0.1904, lr=0.001503, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:43:47 2021-01-17 22:11:41 [INFO] [TRAIN] epoch=54, iter=35140/40000, loss=0.2123, lr=0.001500, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:43:57 2021-01-17 22:11:46 [INFO] [TRAIN] epoch=54, iter=35150/40000, loss=0.1638, lr=0.001498, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:43:38 2021-01-17 22:11:51 [INFO] [TRAIN] epoch=54, iter=35160/40000, loss=0.1876, lr=0.001495, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:43:27 2021-01-17 22:11:57 [INFO] [TRAIN] epoch=54, iter=35170/40000, loss=0.1571, lr=0.001492, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:43:22 2021-01-17 22:12:02 [INFO] [TRAIN] epoch=54, iter=35180/40000, loss=0.1445, lr=0.001489, batch_cost=0.5346, reader_cost=0.0001 | ETA 00:42:56 2021-01-17 22:12:08 [INFO] [TRAIN] epoch=54, iter=35190/40000, loss=0.1709, lr=0.001486, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:43:03 2021-01-17 22:12:13 [INFO] [TRAIN] epoch=54, iter=35200/40000, loss=0.2226, lr=0.001484, batch_cost=0.5345, reader_cost=0.0001 | ETA 00:42:45 2021-01-17 22:12:18 [INFO] [TRAIN] epoch=54, iter=35210/40000, loss=0.2103, lr=0.001481, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:42:48 2021-01-17 22:12:24 [INFO] [TRAIN] epoch=54, iter=35220/40000, loss=0.1789, lr=0.001478, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:43:07 2021-01-17 22:12:29 [INFO] [TRAIN] epoch=54, iter=35230/40000, loss=0.1721, lr=0.001475, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:42:38 2021-01-17 22:12:34 [INFO] [TRAIN] epoch=54, iter=35240/40000, loss=0.2007, lr=0.001473, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:42:35 2021-01-17 22:12:40 [INFO] [TRAIN] epoch=54, iter=35250/40000, loss=0.1292, lr=0.001470, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:42:32 2021-01-17 22:12:45 [INFO] [TRAIN] epoch=54, iter=35260/40000, loss=0.2560, lr=0.001467, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:42:48 2021-01-17 22:12:51 [INFO] [TRAIN] epoch=54, iter=35270/40000, loss=0.2401, lr=0.001464, batch_cost=0.5366, reader_cost=0.0001 | ETA 00:42:18 2021-01-17 22:12:56 [INFO] [TRAIN] epoch=54, iter=35280/40000, loss=0.1792, lr=0.001461, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:42:37 2021-01-17 22:13:01 [INFO] [TRAIN] epoch=54, iter=35290/40000, loss=0.2020, lr=0.001459, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:42:18 2021-01-17 22:13:07 [INFO] [TRAIN] epoch=54, iter=35300/40000, loss=0.1490, lr=0.001456, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:42:12 2021-01-17 22:13:12 [INFO] [TRAIN] epoch=54, iter=35310/40000, loss=0.2080, lr=0.001453, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:42:01 2021-01-17 22:13:18 [INFO] [TRAIN] epoch=54, iter=35320/40000, loss=0.1417, lr=0.001450, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:42:22 2021-01-17 22:13:23 [INFO] [TRAIN] epoch=54, iter=35330/40000, loss=0.1825, lr=0.001447, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:41:52 2021-01-17 22:13:28 [INFO] [TRAIN] epoch=54, iter=35340/40000, loss=0.2058, lr=0.001445, batch_cost=0.5370, reader_cost=0.0001 | ETA 00:41:42 2021-01-17 22:13:34 [INFO] [TRAIN] epoch=54, iter=35350/40000, loss=0.1622, lr=0.001442, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:41:37 2021-01-17 22:13:39 [INFO] [TRAIN] epoch=54, iter=35360/40000, loss=0.2230, lr=0.001439, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:41:34 2021-01-17 22:13:44 [INFO] [TRAIN] epoch=54, iter=35370/40000, loss=0.1702, lr=0.001436, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:41:49 2021-01-17 22:13:50 [INFO] [TRAIN] epoch=54, iter=35380/40000, loss=0.1605, lr=0.001434, batch_cost=0.5453, reader_cost=0.0001 | ETA 00:41:59 2021-01-17 22:13:55 [INFO] [TRAIN] epoch=54, iter=35390/40000, loss=0.2230, lr=0.001431, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:41:21 2021-01-17 22:14:01 [INFO] [TRAIN] epoch=54, iter=35400/40000, loss=0.2019, lr=0.001428, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:41:12 2021-01-17 22:14:06 [INFO] [TRAIN] epoch=54, iter=35410/40000, loss=0.1915, lr=0.001425, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:41:19 2021-01-17 22:14:12 [INFO] [TRAIN] epoch=54, iter=35420/40000, loss=0.1859, lr=0.001422, batch_cost=0.5453, reader_cost=0.0001 | ETA 00:41:37 2021-01-17 22:14:17 [INFO] [TRAIN] epoch=54, iter=35430/40000, loss=0.1715, lr=0.001420, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:40:57 2021-01-17 22:14:22 [INFO] [TRAIN] epoch=54, iter=35440/40000, loss=0.2704, lr=0.001417, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:40:47 2021-01-17 22:14:28 [INFO] [TRAIN] epoch=54, iter=35450/40000, loss=0.2157, lr=0.001414, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:41:01 2021-01-17 22:14:33 [INFO] [TRAIN] epoch=54, iter=35460/40000, loss=0.1629, lr=0.001411, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:40:48 2021-01-17 22:14:39 [INFO] [TRAIN] epoch=54, iter=35470/40000, loss=0.1471, lr=0.001408, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:40:54 2021-01-17 22:14:44 [INFO] [TRAIN] epoch=54, iter=35480/40000, loss=0.2290, lr=0.001406, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:40:49 2021-01-17 22:14:49 [INFO] [TRAIN] epoch=54, iter=35490/40000, loss=0.1727, lr=0.001403, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:40:41 2021-01-17 22:14:55 [INFO] [TRAIN] epoch=54, iter=35500/40000, loss=0.2276, lr=0.001400, batch_cost=0.5429, reader_cost=0.0001 | ETA 00:40:43 2021-01-17 22:15:00 [INFO] [TRAIN] epoch=54, iter=35510/40000, loss=0.1924, lr=0.001397, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:40:24 2021-01-17 22:15:06 [INFO] [TRAIN] epoch=54, iter=35520/40000, loss=0.1366, lr=0.001394, batch_cost=0.5425, reader_cost=0.0001 | ETA 00:40:30 2021-01-17 22:15:11 [INFO] [TRAIN] epoch=54, iter=35530/40000, loss=0.2015, lr=0.001392, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:40:04 2021-01-17 22:15:16 [INFO] [TRAIN] epoch=54, iter=35540/40000, loss=0.1692, lr=0.001389, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:40:00 2021-01-17 22:15:22 [INFO] [TRAIN] epoch=54, iter=35550/40000, loss=0.1812, lr=0.001386, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:40:00 2021-01-17 22:15:27 [INFO] [TRAIN] epoch=54, iter=35560/40000, loss=0.1704, lr=0.001383, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:39:40 2021-01-17 22:15:33 [INFO] [TRAIN] epoch=54, iter=35570/40000, loss=0.2191, lr=0.001380, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:39:41 2021-01-17 22:15:38 [INFO] [TRAIN] epoch=54, iter=35580/40000, loss=0.1903, lr=0.001378, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:39:39 2021-01-17 22:15:43 [INFO] [TRAIN] epoch=54, iter=35590/40000, loss=0.1882, lr=0.001375, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:39:40 2021-01-17 22:15:49 [INFO] [TRAIN] epoch=54, iter=35600/40000, loss=0.1757, lr=0.001372, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:39:40 2021-01-17 22:15:54 [INFO] [TRAIN] epoch=54, iter=35610/40000, loss=0.1780, lr=0.001369, batch_cost=0.5370, reader_cost=0.0001 | ETA 00:39:17 2021-01-17 22:15:59 [INFO] [TRAIN] epoch=54, iter=35620/40000, loss=0.1880, lr=0.001366, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:39:23 2021-01-17 22:16:05 [INFO] [TRAIN] epoch=54, iter=35630/40000, loss=0.2060, lr=0.001364, batch_cost=0.5357, reader_cost=0.0001 | ETA 00:39:01 2021-01-17 22:16:10 [INFO] [TRAIN] epoch=54, iter=35640/40000, loss=0.2054, lr=0.001361, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:39:04 2021-01-17 22:16:16 [INFO] [TRAIN] epoch=54, iter=35650/40000, loss=0.1467, lr=0.001358, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:39:09 2021-01-17 22:16:21 [INFO] [TRAIN] epoch=54, iter=35660/40000, loss=0.2125, lr=0.001355, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:38:47 2021-01-17 22:16:26 [INFO] [TRAIN] epoch=54, iter=35670/40000, loss=0.2436, lr=0.001352, batch_cost=0.5338, reader_cost=0.0001 | ETA 00:38:31 2021-01-17 22:16:32 [INFO] [TRAIN] epoch=54, iter=35680/40000, loss=0.1696, lr=0.001349, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:38:46 2021-01-17 22:16:37 [INFO] [TRAIN] epoch=54, iter=35690/40000, loss=0.2022, lr=0.001347, batch_cost=0.5359, reader_cost=0.0001 | ETA 00:38:29 2021-01-17 22:16:42 [INFO] [TRAIN] epoch=55, iter=35700/40000, loss=0.1726, lr=0.001344, batch_cost=0.5414, reader_cost=0.0126 | ETA 00:38:48 2021-01-17 22:16:48 [INFO] [TRAIN] epoch=55, iter=35710/40000, loss=0.1808, lr=0.001341, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:38:40 2021-01-17 22:16:53 [INFO] [TRAIN] epoch=55, iter=35720/40000, loss=0.1430, lr=0.001338, batch_cost=0.5457, reader_cost=0.0001 | ETA 00:38:55 2021-01-17 22:16:59 [INFO] [TRAIN] epoch=55, iter=35730/40000, loss=0.1995, lr=0.001335, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:38:23 2021-01-17 22:17:04 [INFO] [TRAIN] epoch=55, iter=35740/40000, loss=0.1910, lr=0.001333, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:38:17 2021-01-17 22:17:09 [INFO] [TRAIN] epoch=55, iter=35750/40000, loss=0.2155, lr=0.001330, batch_cost=0.5339, reader_cost=0.0001 | ETA 00:37:49 2021-01-17 22:17:15 [INFO] [TRAIN] epoch=55, iter=35760/40000, loss=0.2082, lr=0.001327, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:38:09 2021-01-17 22:17:20 [INFO] [TRAIN] epoch=55, iter=35770/40000, loss=0.1761, lr=0.001324, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:38:17 2021-01-17 22:17:26 [INFO] [TRAIN] epoch=55, iter=35780/40000, loss=0.1919, lr=0.001321, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:37:43 2021-01-17 22:17:31 [INFO] [TRAIN] epoch=55, iter=35790/40000, loss=0.1805, lr=0.001319, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:37:41 2021-01-17 22:17:36 [INFO] [TRAIN] epoch=55, iter=35800/40000, loss=0.1282, lr=0.001316, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:37:42 2021-01-17 22:17:42 [INFO] [TRAIN] epoch=55, iter=35810/40000, loss=0.1839, lr=0.001313, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:37:34 2021-01-17 22:17:47 [INFO] [TRAIN] epoch=55, iter=35820/40000, loss=0.1704, lr=0.001310, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:37:20 2021-01-17 22:17:53 [INFO] [TRAIN] epoch=55, iter=35830/40000, loss=0.1712, lr=0.001307, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:37:21 2021-01-17 22:17:58 [INFO] [TRAIN] epoch=55, iter=35840/40000, loss=0.1500, lr=0.001304, batch_cost=0.5373, reader_cost=0.0001 | ETA 00:37:15 2021-01-17 22:18:03 [INFO] [TRAIN] epoch=55, iter=35850/40000, loss=0.2034, lr=0.001302, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:37:32 2021-01-17 22:18:09 [INFO] [TRAIN] epoch=55, iter=35860/40000, loss=0.1778, lr=0.001299, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:37:11 2021-01-17 22:18:14 [INFO] [TRAIN] epoch=55, iter=35870/40000, loss=0.2465, lr=0.001296, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:37:15 2021-01-17 22:18:20 [INFO] [TRAIN] epoch=55, iter=35880/40000, loss=0.1609, lr=0.001293, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:36:48 2021-01-17 22:18:25 [INFO] [TRAIN] epoch=55, iter=35890/40000, loss=0.2483, lr=0.001290, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:36:44 2021-01-17 22:18:30 [INFO] [TRAIN] epoch=55, iter=35900/40000, loss=0.2004, lr=0.001287, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:36:53 2021-01-17 22:18:36 [INFO] [TRAIN] epoch=55, iter=35910/40000, loss=0.2065, lr=0.001285, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:36:43 2021-01-17 22:18:41 [INFO] [TRAIN] epoch=55, iter=35920/40000, loss=0.1345, lr=0.001282, batch_cost=0.5358, reader_cost=0.0001 | ETA 00:36:25 2021-01-17 22:18:46 [INFO] [TRAIN] epoch=55, iter=35930/40000, loss=0.1609, lr=0.001279, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:36:41 2021-01-17 22:18:52 [INFO] [TRAIN] epoch=55, iter=35940/40000, loss=0.2416, lr=0.001276, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:36:44 2021-01-17 22:18:57 [INFO] [TRAIN] epoch=55, iter=35950/40000, loss=0.1763, lr=0.001273, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:36:17 2021-01-17 22:19:03 [INFO] [TRAIN] epoch=55, iter=35960/40000, loss=0.1671, lr=0.001271, batch_cost=0.5351, reader_cost=0.0001 | ETA 00:36:01 2021-01-17 22:19:08 [INFO] [TRAIN] epoch=55, iter=35970/40000, loss=0.1884, lr=0.001268, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:36:14 2021-01-17 22:19:13 [INFO] [TRAIN] epoch=55, iter=35980/40000, loss=0.1685, lr=0.001265, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:36:00 2021-01-17 22:19:19 [INFO] [TRAIN] epoch=55, iter=35990/40000, loss=0.1911, lr=0.001262, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:36:09 2021-01-17 22:19:24 [INFO] [TRAIN] epoch=55, iter=36000/40000, loss=0.2679, lr=0.001259, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:35:44 2021-01-17 22:19:24 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:19:44 [INFO] [EVAL] #Images=1449 mIoU=0.7996 Acc=0.9554 Kappa=0.9007 2021-01-17 22:19:44 [INFO] [EVAL] Class IoU: [0.9485 0.9167 0.4384 0.9086 0.7036 0.8498 0.9526 0.9005 0.9344 0.4601 0.8923 0.5593 0.9065 0.9143 0.8832 0.8763 0.6671 0.8569 0.5378 0.9052 0.7787] 2021-01-17 22:19:44 [INFO] [EVAL] Class Acc: [0.967 0.9466 0.4573 0.9588 0.815 0.9048 0.9838 0.9584 0.9613 0.6804 0.9379 0.922 0.9522 0.9562 0.9456 0.945 0.8232 0.9686 0.8417 0.9689 0.9463] 2021-01-17 22:19:48 [INFO] [EVAL] The model with the best validation mIoU (0.8006) was saved at iter 35000. 2021-01-17 22:19:54 [INFO] [TRAIN] epoch=55, iter=36010/40000, loss=0.1553, lr=0.001256, batch_cost=0.5290, reader_cost=0.0001 | ETA 00:35:10 2021-01-17 22:19:59 [INFO] [TRAIN] epoch=55, iter=36020/40000, loss=0.1857, lr=0.001254, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:35:50 2021-01-17 22:20:04 [INFO] [TRAIN] epoch=55, iter=36030/40000, loss=0.1818, lr=0.001251, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:35:29 2021-01-17 22:20:10 [INFO] [TRAIN] epoch=55, iter=36040/40000, loss=0.2472, lr=0.001248, batch_cost=0.5407, reader_cost=0.0001 | ETA 00:35:41 2021-01-17 22:20:15 [INFO] [TRAIN] epoch=55, iter=36050/40000, loss=0.2479, lr=0.001245, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:35:20 2021-01-17 22:20:21 [INFO] [TRAIN] epoch=55, iter=36060/40000, loss=0.1378, lr=0.001242, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:35:21 2021-01-17 22:20:26 [INFO] [TRAIN] epoch=55, iter=36070/40000, loss=0.1436, lr=0.001239, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:35:15 2021-01-17 22:20:31 [INFO] [TRAIN] epoch=55, iter=36080/40000, loss=0.1745, lr=0.001237, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:35:25 2021-01-17 22:20:37 [INFO] [TRAIN] epoch=55, iter=36090/40000, loss=0.1756, lr=0.001234, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:34:51 2021-01-17 22:20:42 [INFO] [TRAIN] epoch=55, iter=36100/40000, loss=0.1600, lr=0.001231, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:34:53 2021-01-17 22:20:47 [INFO] [TRAIN] epoch=55, iter=36110/40000, loss=0.1548, lr=0.001228, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:35:00 2021-01-17 22:20:53 [INFO] [TRAIN] epoch=55, iter=36120/40000, loss=0.1645, lr=0.001225, batch_cost=0.5426, reader_cost=0.0001 | ETA 00:35:05 2021-01-17 22:20:58 [INFO] [TRAIN] epoch=55, iter=36130/40000, loss=0.2893, lr=0.001222, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:34:41 2021-01-17 22:21:04 [INFO] [TRAIN] epoch=55, iter=36140/40000, loss=0.2134, lr=0.001219, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:34:33 2021-01-17 22:21:09 [INFO] [TRAIN] epoch=55, iter=36150/40000, loss=0.2036, lr=0.001217, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:34:17 2021-01-17 22:21:14 [INFO] [TRAIN] epoch=55, iter=36160/40000, loss=0.2287, lr=0.001214, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:34:38 2021-01-17 22:21:20 [INFO] [TRAIN] epoch=55, iter=36170/40000, loss=0.1659, lr=0.001211, batch_cost=0.5332, reader_cost=0.0001 | ETA 00:34:02 2021-01-17 22:21:25 [INFO] [TRAIN] epoch=55, iter=36180/40000, loss=0.1806, lr=0.001208, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:34:19 2021-01-17 22:21:30 [INFO] [TRAIN] epoch=55, iter=36190/40000, loss=0.2145, lr=0.001205, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:34:06 2021-01-17 22:21:36 [INFO] [TRAIN] epoch=55, iter=36200/40000, loss=0.1958, lr=0.001202, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:34:03 2021-01-17 22:21:41 [INFO] [TRAIN] epoch=55, iter=36210/40000, loss=0.2020, lr=0.001200, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:33:52 2021-01-17 22:21:47 [INFO] [TRAIN] epoch=55, iter=36220/40000, loss=0.2068, lr=0.001197, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:33:53 2021-01-17 22:21:52 [INFO] [TRAIN] epoch=55, iter=36230/40000, loss=0.1919, lr=0.001194, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:33:49 2021-01-17 22:21:57 [INFO] [TRAIN] epoch=55, iter=36240/40000, loss=0.2386, lr=0.001191, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:33:43 2021-01-17 22:22:03 [INFO] [TRAIN] epoch=55, iter=36250/40000, loss=0.2168, lr=0.001188, batch_cost=0.5404, reader_cost=0.0001 | ETA 00:33:46 2021-01-17 22:22:08 [INFO] [TRAIN] epoch=55, iter=36260/40000, loss=0.1868, lr=0.001185, batch_cost=0.5335, reader_cost=0.0001 | ETA 00:33:15 2021-01-17 22:22:13 [INFO] [TRAIN] epoch=55, iter=36270/40000, loss=0.1552, lr=0.001182, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:33:34 2021-01-17 22:22:19 [INFO] [TRAIN] epoch=55, iter=36280/40000, loss=0.2117, lr=0.001180, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:33:25 2021-01-17 22:22:24 [INFO] [TRAIN] epoch=55, iter=36290/40000, loss=0.1607, lr=0.001177, batch_cost=0.5349, reader_cost=0.0001 | ETA 00:33:04 2021-01-17 22:22:30 [INFO] [TRAIN] epoch=55, iter=36300/40000, loss=0.1707, lr=0.001174, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:33:04 2021-01-17 22:22:35 [INFO] [TRAIN] epoch=55, iter=36310/40000, loss=0.2340, lr=0.001171, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:33:21 2021-01-17 22:22:40 [INFO] [TRAIN] epoch=55, iter=36320/40000, loss=0.1276, lr=0.001168, batch_cost=0.5354, reader_cost=0.0001 | ETA 00:32:50 2021-01-17 22:22:46 [INFO] [TRAIN] epoch=55, iter=36330/40000, loss=0.1841, lr=0.001165, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:32:50 2021-01-17 22:22:51 [INFO] [TRAIN] epoch=55, iter=36340/40000, loss=0.2429, lr=0.001162, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:32:52 2021-01-17 22:22:57 [INFO] [TRAIN] epoch=55, iter=36350/40000, loss=0.1907, lr=0.001160, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:32:37 2021-01-17 22:23:02 [INFO] [TRAIN] epoch=56, iter=36360/40000, loss=0.1766, lr=0.001157, batch_cost=0.5271, reader_cost=0.0131 | ETA 00:31:58 2021-01-17 22:23:07 [INFO] [TRAIN] epoch=56, iter=36370/40000, loss=0.1838, lr=0.001154, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:32:34 2021-01-17 22:23:12 [INFO] [TRAIN] epoch=56, iter=36380/40000, loss=0.1609, lr=0.001151, batch_cost=0.5326, reader_cost=0.0001 | ETA 00:32:07 2021-01-17 22:23:18 [INFO] [TRAIN] epoch=56, iter=36390/40000, loss=0.2140, lr=0.001148, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:32:28 2021-01-17 22:23:23 [INFO] [TRAIN] epoch=56, iter=36400/40000, loss=0.2139, lr=0.001145, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:32:11 2021-01-17 22:23:29 [INFO] [TRAIN] epoch=56, iter=36410/40000, loss=0.2216, lr=0.001142, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:32:25 2021-01-17 22:23:34 [INFO] [TRAIN] epoch=56, iter=36420/40000, loss=0.1639, lr=0.001140, batch_cost=0.5433, reader_cost=0.0001 | ETA 00:32:25 2021-01-17 22:23:39 [INFO] [TRAIN] epoch=56, iter=36430/40000, loss=0.1977, lr=0.001137, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:32:06 2021-01-17 22:23:45 [INFO] [TRAIN] epoch=56, iter=36440/40000, loss=0.2217, lr=0.001134, batch_cost=0.5341, reader_cost=0.0001 | ETA 00:31:41 2021-01-17 22:23:50 [INFO] [TRAIN] epoch=56, iter=36450/40000, loss=0.1709, lr=0.001131, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:31:43 2021-01-17 22:23:56 [INFO] [TRAIN] epoch=56, iter=36460/40000, loss=0.2105, lr=0.001128, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:31:31 2021-01-17 22:24:01 [INFO] [TRAIN] epoch=56, iter=36470/40000, loss=0.1360, lr=0.001125, batch_cost=0.5348, reader_cost=0.0001 | ETA 00:31:27 2021-01-17 22:24:06 [INFO] [TRAIN] epoch=56, iter=36480/40000, loss=0.2167, lr=0.001122, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:31:35 2021-01-17 22:24:12 [INFO] [TRAIN] epoch=56, iter=36490/40000, loss=0.1734, lr=0.001120, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:31:23 2021-01-17 22:24:17 [INFO] [TRAIN] epoch=56, iter=36500/40000, loss=0.1895, lr=0.001117, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:31:21 2021-01-17 22:24:22 [INFO] [TRAIN] epoch=56, iter=36510/40000, loss=0.1627, lr=0.001114, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:31:25 2021-01-17 22:24:28 [INFO] [TRAIN] epoch=56, iter=36520/40000, loss=0.1952, lr=0.001111, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:31:22 2021-01-17 22:24:33 [INFO] [TRAIN] epoch=56, iter=36530/40000, loss=0.1868, lr=0.001108, batch_cost=0.5415, reader_cost=0.0001 | ETA 00:31:19 2021-01-17 22:24:39 [INFO] [TRAIN] epoch=56, iter=36540/40000, loss=0.1556, lr=0.001105, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:30:54 2021-01-17 22:24:44 [INFO] [TRAIN] epoch=56, iter=36550/40000, loss=0.2098, lr=0.001102, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:30:57 2021-01-17 22:24:49 [INFO] [TRAIN] epoch=56, iter=36560/40000, loss=0.2132, lr=0.001099, batch_cost=0.5446, reader_cost=0.0001 | ETA 00:31:13 2021-01-17 22:24:55 [INFO] [TRAIN] epoch=56, iter=36570/40000, loss=0.2198, lr=0.001097, batch_cost=0.5425, reader_cost=0.0001 | ETA 00:31:00 2021-01-17 22:25:00 [INFO] [TRAIN] epoch=56, iter=36580/40000, loss=0.1954, lr=0.001094, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:30:41 2021-01-17 22:25:06 [INFO] [TRAIN] epoch=56, iter=36590/40000, loss=0.2083, lr=0.001091, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:30:30 2021-01-17 22:25:11 [INFO] [TRAIN] epoch=56, iter=36600/40000, loss=0.2052, lr=0.001088, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:30:42 2021-01-17 22:25:16 [INFO] [TRAIN] epoch=56, iter=36610/40000, loss=0.1783, lr=0.001085, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:30:30 2021-01-17 22:25:22 [INFO] [TRAIN] epoch=56, iter=36620/40000, loss=0.1465, lr=0.001082, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:30:21 2021-01-17 22:25:27 [INFO] [TRAIN] epoch=56, iter=36630/40000, loss=0.1808, lr=0.001079, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:30:00 2021-01-17 22:25:33 [INFO] [TRAIN] epoch=56, iter=36640/40000, loss=0.2365, lr=0.001076, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:30:03 2021-01-17 22:25:38 [INFO] [TRAIN] epoch=56, iter=36650/40000, loss=0.1595, lr=0.001074, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:30:15 2021-01-17 22:25:43 [INFO] [TRAIN] epoch=56, iter=36660/40000, loss=0.1792, lr=0.001071, batch_cost=0.5324, reader_cost=0.0001 | ETA 00:29:38 2021-01-17 22:25:49 [INFO] [TRAIN] epoch=56, iter=36670/40000, loss=0.1838, lr=0.001068, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:29:49 2021-01-17 22:25:54 [INFO] [TRAIN] epoch=56, iter=36680/40000, loss=0.1709, lr=0.001065, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:29:51 2021-01-17 22:25:59 [INFO] [TRAIN] epoch=56, iter=36690/40000, loss=0.1616, lr=0.001062, batch_cost=0.5378, reader_cost=0.0001 | ETA 00:29:40 2021-01-17 22:26:05 [INFO] [TRAIN] epoch=56, iter=36700/40000, loss=0.1989, lr=0.001059, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:29:37 2021-01-17 22:26:10 [INFO] [TRAIN] epoch=56, iter=36710/40000, loss=0.1938, lr=0.001056, batch_cost=0.5427, reader_cost=0.0001 | ETA 00:29:45 2021-01-17 22:26:16 [INFO] [TRAIN] epoch=56, iter=36720/40000, loss=0.2034, lr=0.001053, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:29:22 2021-01-17 22:26:21 [INFO] [TRAIN] epoch=56, iter=36730/40000, loss=0.1699, lr=0.001050, batch_cost=0.5443, reader_cost=0.0001 | ETA 00:29:39 2021-01-17 22:26:26 [INFO] [TRAIN] epoch=56, iter=36740/40000, loss=0.1822, lr=0.001048, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:29:10 2021-01-17 22:26:32 [INFO] [TRAIN] epoch=56, iter=36750/40000, loss=0.2110, lr=0.001045, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:29:08 2021-01-17 22:26:37 [INFO] [TRAIN] epoch=56, iter=36760/40000, loss=0.2442, lr=0.001042, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:29:08 2021-01-17 22:26:43 [INFO] [TRAIN] epoch=56, iter=36770/40000, loss=0.1854, lr=0.001039, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:28:52 2021-01-17 22:26:48 [INFO] [TRAIN] epoch=56, iter=36780/40000, loss=0.2150, lr=0.001036, batch_cost=0.5353, reader_cost=0.0001 | ETA 00:28:43 2021-01-17 22:26:53 [INFO] [TRAIN] epoch=56, iter=36790/40000, loss=0.1880, lr=0.001033, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:28:42 2021-01-17 22:26:59 [INFO] [TRAIN] epoch=56, iter=36800/40000, loss=0.1449, lr=0.001030, batch_cost=0.5333, reader_cost=0.0001 | ETA 00:28:26 2021-01-17 22:27:04 [INFO] [TRAIN] epoch=56, iter=36810/40000, loss=0.2355, lr=0.001027, batch_cost=0.5402, reader_cost=0.0001 | ETA 00:28:43 2021-01-17 22:27:09 [INFO] [TRAIN] epoch=56, iter=36820/40000, loss=0.1757, lr=0.001024, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:28:29 2021-01-17 22:27:15 [INFO] [TRAIN] epoch=56, iter=36830/40000, loss=0.2248, lr=0.001021, batch_cost=0.5347, reader_cost=0.0001 | ETA 00:28:14 2021-01-17 22:27:20 [INFO] [TRAIN] epoch=56, iter=36840/40000, loss=0.2285, lr=0.001019, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:28:21 2021-01-17 22:27:26 [INFO] [TRAIN] epoch=56, iter=36850/40000, loss=0.1649, lr=0.001016, batch_cost=0.5373, reader_cost=0.0001 | ETA 00:28:12 2021-01-17 22:27:31 [INFO] [TRAIN] epoch=56, iter=36860/40000, loss=0.1869, lr=0.001013, batch_cost=0.5424, reader_cost=0.0001 | ETA 00:28:23 2021-01-17 22:27:36 [INFO] [TRAIN] epoch=56, iter=36870/40000, loss=0.1762, lr=0.001010, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:28:17 2021-01-17 22:27:42 [INFO] [TRAIN] epoch=56, iter=36880/40000, loss=0.1831, lr=0.001007, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:28:04 2021-01-17 22:27:47 [INFO] [TRAIN] epoch=56, iter=36890/40000, loss=0.1572, lr=0.001004, batch_cost=0.5417, reader_cost=0.0001 | ETA 00:28:04 2021-01-17 22:27:53 [INFO] [TRAIN] epoch=56, iter=36900/40000, loss=0.1834, lr=0.001001, batch_cost=0.5336, reader_cost=0.0001 | ETA 00:27:34 2021-01-17 22:27:58 [INFO] [TRAIN] epoch=56, iter=36910/40000, loss=0.1544, lr=0.000998, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:27:52 2021-01-17 22:28:03 [INFO] [TRAIN] epoch=56, iter=36920/40000, loss=0.1755, lr=0.000995, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:27:46 2021-01-17 22:28:09 [INFO] [TRAIN] epoch=56, iter=36930/40000, loss=0.1802, lr=0.000992, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:27:32 2021-01-17 22:28:14 [INFO] [TRAIN] epoch=56, iter=36940/40000, loss=0.1754, lr=0.000990, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:27:34 2021-01-17 22:28:20 [INFO] [TRAIN] epoch=56, iter=36950/40000, loss=0.1919, lr=0.000987, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:27:24 2021-01-17 22:28:25 [INFO] [TRAIN] epoch=56, iter=36960/40000, loss=0.1771, lr=0.000984, batch_cost=0.5435, reader_cost=0.0001 | ETA 00:27:32 2021-01-17 22:28:30 [INFO] [TRAIN] epoch=56, iter=36970/40000, loss=0.2426, lr=0.000981, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:27:24 2021-01-17 22:28:36 [INFO] [TRAIN] epoch=56, iter=36980/40000, loss=0.2619, lr=0.000978, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:27:07 2021-01-17 22:28:41 [INFO] [TRAIN] epoch=56, iter=36990/40000, loss=0.2031, lr=0.000975, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:26:54 2021-01-17 22:28:46 [INFO] [TRAIN] epoch=56, iter=37000/40000, loss=0.1648, lr=0.000972, batch_cost=0.5330, reader_cost=0.0001 | ETA 00:26:39 2021-01-17 22:28:47 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:29:07 [INFO] [EVAL] #Images=1449 mIoU=0.8014 Acc=0.9557 Kappa=0.9013 2021-01-17 22:29:07 [INFO] [EVAL] Class IoU: [0.9487 0.9227 0.4418 0.8972 0.7079 0.8457 0.9521 0.906 0.9381 0.4473 0.9055 0.5194 0.9151 0.9139 0.8873 0.8796 0.699 0.8866 0.5434 0.89 0.783 ] 2021-01-17 22:29:07 [INFO] [EVAL] Class Acc: [0.967 0.9606 0.4601 0.9469 0.8197 0.8994 0.9849 0.967 0.9646 0.6672 0.9504 0.9296 0.9497 0.9601 0.945 0.9432 0.8388 0.9611 0.8465 0.9661 0.9494] 2021-01-17 22:29:14 [INFO] [EVAL] The model with the best validation mIoU (0.8014) was saved at iter 37000. 2021-01-17 22:29:19 [INFO] [TRAIN] epoch=56, iter=37010/40000, loss=0.2245, lr=0.000969, batch_cost=0.5345, reader_cost=0.0001 | ETA 00:26:38 2021-01-17 22:29:24 [INFO] [TRAIN] epoch=57, iter=37020/40000, loss=0.1712, lr=0.000966, batch_cost=0.5316, reader_cost=0.0137 | ETA 00:26:24 2021-01-17 22:29:30 [INFO] [TRAIN] epoch=57, iter=37030/40000, loss=0.1925, lr=0.000963, batch_cost=0.5417, reader_cost=0.0001 | ETA 00:26:48 2021-01-17 22:29:35 [INFO] [TRAIN] epoch=57, iter=37040/40000, loss=0.1983, lr=0.000960, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:26:27 2021-01-17 22:29:40 [INFO] [TRAIN] epoch=57, iter=37050/40000, loss=0.2046, lr=0.000957, batch_cost=0.5358, reader_cost=0.0001 | ETA 00:26:20 2021-01-17 22:29:46 [INFO] [TRAIN] epoch=57, iter=37060/40000, loss=0.1655, lr=0.000955, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:26:25 2021-01-17 22:29:51 [INFO] [TRAIN] epoch=57, iter=37070/40000, loss=0.2868, lr=0.000952, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:26:11 2021-01-17 22:29:56 [INFO] [TRAIN] epoch=57, iter=37080/40000, loss=0.1981, lr=0.000949, batch_cost=0.5328, reader_cost=0.0001 | ETA 00:25:55 2021-01-17 22:30:02 [INFO] [TRAIN] epoch=57, iter=37090/40000, loss=0.1812, lr=0.000946, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:26:06 2021-01-17 22:30:07 [INFO] [TRAIN] epoch=57, iter=37100/40000, loss=0.1915, lr=0.000943, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:26:06 2021-01-17 22:30:13 [INFO] [TRAIN] epoch=57, iter=37110/40000, loss=0.1882, lr=0.000940, batch_cost=0.5404, reader_cost=0.0001 | ETA 00:26:01 2021-01-17 22:30:18 [INFO] [TRAIN] epoch=57, iter=37120/40000, loss=0.2060, lr=0.000937, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:25:47 2021-01-17 22:30:23 [INFO] [TRAIN] epoch=57, iter=37130/40000, loss=0.2013, lr=0.000934, batch_cost=0.5430, reader_cost=0.0001 | ETA 00:25:58 2021-01-17 22:30:29 [INFO] [TRAIN] epoch=57, iter=37140/40000, loss=0.1567, lr=0.000931, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:25:39 2021-01-17 22:30:34 [INFO] [TRAIN] epoch=57, iter=37150/40000, loss=0.1955, lr=0.000928, batch_cost=0.5373, reader_cost=0.0001 | ETA 00:25:31 2021-01-17 22:30:40 [INFO] [TRAIN] epoch=57, iter=37160/40000, loss=0.1186, lr=0.000925, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:25:17 2021-01-17 22:30:45 [INFO] [TRAIN] epoch=57, iter=37170/40000, loss=0.1779, lr=0.000922, batch_cost=0.5373, reader_cost=0.0001 | ETA 00:25:20 2021-01-17 22:30:50 [INFO] [TRAIN] epoch=57, iter=37180/40000, loss=0.1954, lr=0.000919, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:25:17 2021-01-17 22:30:56 [INFO] [TRAIN] epoch=57, iter=37190/40000, loss=0.2010, lr=0.000916, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:25:08 2021-01-17 22:31:01 [INFO] [TRAIN] epoch=57, iter=37200/40000, loss=0.1769, lr=0.000914, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:25:06 2021-01-17 22:31:06 [INFO] [TRAIN] epoch=57, iter=37210/40000, loss=0.1691, lr=0.000911, batch_cost=0.5416, reader_cost=0.0001 | ETA 00:25:11 2021-01-17 22:31:12 [INFO] [TRAIN] epoch=57, iter=37220/40000, loss=0.2352, lr=0.000908, batch_cost=0.5405, reader_cost=0.0001 | ETA 00:25:02 2021-01-17 22:31:17 [INFO] [TRAIN] epoch=57, iter=37230/40000, loss=0.1978, lr=0.000905, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:24:59 2021-01-17 22:31:23 [INFO] [TRAIN] epoch=57, iter=37240/40000, loss=0.2213, lr=0.000902, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:24:48 2021-01-17 22:31:28 [INFO] [TRAIN] epoch=57, iter=37250/40000, loss=0.1956, lr=0.000899, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:24:40 2021-01-17 22:31:33 [INFO] [TRAIN] epoch=57, iter=37260/40000, loss=0.1668, lr=0.000896, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:24:42 2021-01-17 22:31:39 [INFO] [TRAIN] epoch=57, iter=37270/40000, loss=0.1443, lr=0.000893, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:24:33 2021-01-17 22:31:44 [INFO] [TRAIN] epoch=57, iter=37280/40000, loss=0.2235, lr=0.000890, batch_cost=0.5337, reader_cost=0.0001 | ETA 00:24:11 2021-01-17 22:31:50 [INFO] [TRAIN] epoch=57, iter=37290/40000, loss=0.1665, lr=0.000887, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:24:20 2021-01-17 22:31:55 [INFO] [TRAIN] epoch=57, iter=37300/40000, loss=0.1559, lr=0.000884, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:24:10 2021-01-17 22:32:00 [INFO] [TRAIN] epoch=57, iter=37310/40000, loss=0.1693, lr=0.000881, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:24:05 2021-01-17 22:32:06 [INFO] [TRAIN] epoch=57, iter=37320/40000, loss=0.1710, lr=0.000878, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:24:12 2021-01-17 22:32:11 [INFO] [TRAIN] epoch=57, iter=37330/40000, loss=0.1743, lr=0.000875, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:24:10 2021-01-17 22:32:17 [INFO] [TRAIN] epoch=57, iter=37340/40000, loss=0.1706, lr=0.000872, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:23:51 2021-01-17 22:32:22 [INFO] [TRAIN] epoch=57, iter=37350/40000, loss=0.1980, lr=0.000869, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:23:43 2021-01-17 22:32:27 [INFO] [TRAIN] epoch=57, iter=37360/40000, loss=0.1658, lr=0.000866, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:23:40 2021-01-17 22:32:33 [INFO] [TRAIN] epoch=57, iter=37370/40000, loss=0.1643, lr=0.000863, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:23:44 2021-01-17 22:32:38 [INFO] [TRAIN] epoch=57, iter=37380/40000, loss=0.1473, lr=0.000861, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:23:29 2021-01-17 22:32:44 [INFO] [TRAIN] epoch=57, iter=37390/40000, loss=0.1413, lr=0.000858, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:23:22 2021-01-17 22:32:49 [INFO] [TRAIN] epoch=57, iter=37400/40000, loss=0.2005, lr=0.000855, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:23:25 2021-01-17 22:32:54 [INFO] [TRAIN] epoch=57, iter=37410/40000, loss=0.1674, lr=0.000852, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:23:03 2021-01-17 22:33:00 [INFO] [TRAIN] epoch=57, iter=37420/40000, loss=0.2072, lr=0.000849, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:23:15 2021-01-17 22:33:05 [INFO] [TRAIN] epoch=57, iter=37430/40000, loss=0.2441, lr=0.000846, batch_cost=0.5404, reader_cost=0.0001 | ETA 00:23:08 2021-01-17 22:33:10 [INFO] [TRAIN] epoch=57, iter=37440/40000, loss=0.1613, lr=0.000843, batch_cost=0.5373, reader_cost=0.0001 | ETA 00:22:55 2021-01-17 22:33:16 [INFO] [TRAIN] epoch=57, iter=37450/40000, loss=0.2041, lr=0.000840, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:22:53 2021-01-17 22:33:21 [INFO] [TRAIN] epoch=57, iter=37460/40000, loss=0.1525, lr=0.000837, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:22:49 2021-01-17 22:33:27 [INFO] [TRAIN] epoch=57, iter=37470/40000, loss=0.2387, lr=0.000834, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:22:45 2021-01-17 22:33:32 [INFO] [TRAIN] epoch=57, iter=37480/40000, loss=0.2313, lr=0.000831, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:22:37 2021-01-17 22:33:37 [INFO] [TRAIN] epoch=57, iter=37490/40000, loss=0.1850, lr=0.000828, batch_cost=0.5352, reader_cost=0.0001 | ETA 00:22:23 2021-01-17 22:33:43 [INFO] [TRAIN] epoch=57, iter=37500/40000, loss=0.1961, lr=0.000825, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:22:31 2021-01-17 22:33:48 [INFO] [TRAIN] epoch=57, iter=37510/40000, loss=0.1534, lr=0.000822, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:22:22 2021-01-17 22:33:54 [INFO] [TRAIN] epoch=57, iter=37520/40000, loss=0.1586, lr=0.000819, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:22:17 2021-01-17 22:33:59 [INFO] [TRAIN] epoch=57, iter=37530/40000, loss=0.2115, lr=0.000816, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:22:16 2021-01-17 22:34:04 [INFO] [TRAIN] epoch=57, iter=37540/40000, loss=0.1750, lr=0.000813, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:22:04 2021-01-17 22:34:10 [INFO] [TRAIN] epoch=57, iter=37550/40000, loss=0.1470, lr=0.000810, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:21:55 2021-01-17 22:34:15 [INFO] [TRAIN] epoch=57, iter=37560/40000, loss=0.2129, lr=0.000807, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:22:00 2021-01-17 22:34:21 [INFO] [TRAIN] epoch=57, iter=37570/40000, loss=0.1915, lr=0.000804, batch_cost=0.5424, reader_cost=0.0001 | ETA 00:21:58 2021-01-17 22:34:26 [INFO] [TRAIN] epoch=57, iter=37580/40000, loss=0.1896, lr=0.000801, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:21:43 2021-01-17 22:34:31 [INFO] [TRAIN] epoch=57, iter=37590/40000, loss=0.2069, lr=0.000798, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:21:41 2021-01-17 22:34:37 [INFO] [TRAIN] epoch=57, iter=37600/40000, loss=0.1410, lr=0.000795, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:21:31 2021-01-17 22:34:42 [INFO] [TRAIN] epoch=57, iter=37610/40000, loss=0.1734, lr=0.000792, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:21:22 2021-01-17 22:34:48 [INFO] [TRAIN] epoch=57, iter=37620/40000, loss=0.2051, lr=0.000789, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:21:21 2021-01-17 22:34:53 [INFO] [TRAIN] epoch=57, iter=37630/40000, loss=0.1857, lr=0.000786, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:21:18 2021-01-17 22:34:58 [INFO] [TRAIN] epoch=57, iter=37640/40000, loss=0.1686, lr=0.000783, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:21:08 2021-01-17 22:35:04 [INFO] [TRAIN] epoch=57, iter=37650/40000, loss=0.1944, lr=0.000780, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:21:11 2021-01-17 22:35:09 [INFO] [TRAIN] epoch=57, iter=37660/40000, loss=0.1432, lr=0.000777, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:20:56 2021-01-17 22:35:14 [INFO] [TRAIN] epoch=57, iter=37670/40000, loss=0.1711, lr=0.000774, batch_cost=0.5437, reader_cost=0.0001 | ETA 00:21:06 2021-01-17 22:35:20 [INFO] [TRAIN] epoch=58, iter=37680/40000, loss=0.2226, lr=0.000771, batch_cost=0.5301, reader_cost=0.0171 | ETA 00:20:29 2021-01-17 22:35:25 [INFO] [TRAIN] epoch=58, iter=37690/40000, loss=0.1983, lr=0.000768, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:20:49 2021-01-17 22:35:31 [INFO] [TRAIN] epoch=58, iter=37700/40000, loss=0.2124, lr=0.000765, batch_cost=0.5425, reader_cost=0.0001 | ETA 00:20:47 2021-01-17 22:35:36 [INFO] [TRAIN] epoch=58, iter=37710/40000, loss=0.1842, lr=0.000762, batch_cost=0.5334, reader_cost=0.0001 | ETA 00:20:21 2021-01-17 22:35:41 [INFO] [TRAIN] epoch=58, iter=37720/40000, loss=0.1241, lr=0.000759, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:20:36 2021-01-17 22:35:47 [INFO] [TRAIN] epoch=58, iter=37730/40000, loss=0.1534, lr=0.000756, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:20:21 2021-01-17 22:35:52 [INFO] [TRAIN] epoch=58, iter=37740/40000, loss=0.2139, lr=0.000753, batch_cost=0.5375, reader_cost=0.0001 | ETA 00:20:14 2021-01-17 22:35:58 [INFO] [TRAIN] epoch=58, iter=37750/40000, loss=0.2419, lr=0.000750, batch_cost=0.5352, reader_cost=0.0001 | ETA 00:20:04 2021-01-17 22:36:03 [INFO] [TRAIN] epoch=58, iter=37760/40000, loss=0.1432, lr=0.000747, batch_cost=0.5445, reader_cost=0.0001 | ETA 00:20:19 2021-01-17 22:36:08 [INFO] [TRAIN] epoch=58, iter=37770/40000, loss=0.1359, lr=0.000744, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:20:12 2021-01-17 22:36:14 [INFO] [TRAIN] epoch=58, iter=37780/40000, loss=0.1809, lr=0.000741, batch_cost=0.5370, reader_cost=0.0001 | ETA 00:19:52 2021-01-17 22:36:19 [INFO] [TRAIN] epoch=58, iter=37790/40000, loss=0.2009, lr=0.000738, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:19:51 2021-01-17 22:36:25 [INFO] [TRAIN] epoch=58, iter=37800/40000, loss=0.1700, lr=0.000735, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:19:51 2021-01-17 22:36:30 [INFO] [TRAIN] epoch=58, iter=37810/40000, loss=0.1925, lr=0.000732, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:19:46 2021-01-17 22:36:35 [INFO] [TRAIN] epoch=58, iter=37820/40000, loss=0.2324, lr=0.000729, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:19:44 2021-01-17 22:36:41 [INFO] [TRAIN] epoch=58, iter=37830/40000, loss=0.1512, lr=0.000726, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:19:36 2021-01-17 22:36:46 [INFO] [TRAIN] epoch=58, iter=37840/40000, loss=0.1919, lr=0.000723, batch_cost=0.5460, reader_cost=0.0001 | ETA 00:19:39 2021-01-17 22:36:52 [INFO] [TRAIN] epoch=58, iter=37850/40000, loss=0.1986, lr=0.000720, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:19:13 2021-01-17 22:36:57 [INFO] [TRAIN] epoch=58, iter=37860/40000, loss=0.1946, lr=0.000717, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:19:11 2021-01-17 22:37:02 [INFO] [TRAIN] epoch=58, iter=37870/40000, loss=0.1738, lr=0.000714, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:19:06 2021-01-17 22:37:08 [INFO] [TRAIN] epoch=58, iter=37880/40000, loss=0.2260, lr=0.000711, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:19:03 2021-01-17 22:37:13 [INFO] [TRAIN] epoch=58, iter=37890/40000, loss=0.1421, lr=0.000708, batch_cost=0.5424, reader_cost=0.0001 | ETA 00:19:04 2021-01-17 22:37:19 [INFO] [TRAIN] epoch=58, iter=37900/40000, loss=0.1936, lr=0.000705, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:18:58 2021-01-17 22:37:24 [INFO] [TRAIN] epoch=58, iter=37910/40000, loss=0.2161, lr=0.000702, batch_cost=0.5391, reader_cost=0.0001 | ETA 00:18:46 2021-01-17 22:37:29 [INFO] [TRAIN] epoch=58, iter=37920/40000, loss=0.2447, lr=0.000699, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:18:35 2021-01-17 22:37:35 [INFO] [TRAIN] epoch=58, iter=37930/40000, loss=0.1670, lr=0.000696, batch_cost=0.5416, reader_cost=0.0001 | ETA 00:18:41 2021-01-17 22:37:40 [INFO] [TRAIN] epoch=58, iter=37940/40000, loss=0.1365, lr=0.000693, batch_cost=0.5441, reader_cost=0.0001 | ETA 00:18:40 2021-01-17 22:37:46 [INFO] [TRAIN] epoch=58, iter=37950/40000, loss=0.1773, lr=0.000690, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:18:20 2021-01-17 22:37:51 [INFO] [TRAIN] epoch=58, iter=37960/40000, loss=0.2152, lr=0.000687, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:18:18 2021-01-17 22:37:56 [INFO] [TRAIN] epoch=58, iter=37970/40000, loss=0.1440, lr=0.000684, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:18:16 2021-01-17 22:38:02 [INFO] [TRAIN] epoch=58, iter=37980/40000, loss=0.1829, lr=0.000681, batch_cost=0.5426, reader_cost=0.0001 | ETA 00:18:16 2021-01-17 22:38:07 [INFO] [TRAIN] epoch=58, iter=37990/40000, loss=0.1799, lr=0.000678, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:18:04 2021-01-17 22:38:13 [INFO] [TRAIN] epoch=58, iter=38000/40000, loss=0.2040, lr=0.000675, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:17:56 2021-01-17 22:38:13 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:38:33 [INFO] [EVAL] #Images=1449 mIoU=0.8089 Acc=0.9573 Kappa=0.9055 2021-01-17 22:38:33 [INFO] [EVAL] Class IoU: [0.9506 0.9223 0.442 0.8963 0.7084 0.8454 0.954 0.906 0.9383 0.4652 0.9027 0.5851 0.9147 0.9164 0.8948 0.8786 0.7144 0.8852 0.5611 0.9209 0.7845] 2021-01-17 22:38:33 [INFO] [EVAL] Class Acc: [0.9708 0.9553 0.4602 0.9466 0.8107 0.8975 0.9825 0.9639 0.9612 0.6606 0.9474 0.9059 0.9524 0.9569 0.942 0.9377 0.8531 0.9613 0.8486 0.9664 0.9229] 2021-01-17 22:38:40 [INFO] [EVAL] The model with the best validation mIoU (0.8089) was saved at iter 38000. 2021-01-17 22:38:45 [INFO] [TRAIN] epoch=58, iter=38010/40000, loss=0.1512, lr=0.000672, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:17:44 2021-01-17 22:38:51 [INFO] [TRAIN] epoch=58, iter=38020/40000, loss=0.1598, lr=0.000669, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:17:49 2021-01-17 22:38:56 [INFO] [TRAIN] epoch=58, iter=38030/40000, loss=0.2112, lr=0.000666, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:17:36 2021-01-17 22:39:02 [INFO] [TRAIN] epoch=58, iter=38040/40000, loss=0.1962, lr=0.000663, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:17:30 2021-01-17 22:39:07 [INFO] [TRAIN] epoch=58, iter=38050/40000, loss=0.1579, lr=0.000660, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:17:30 2021-01-17 22:39:12 [INFO] [TRAIN] epoch=58, iter=38060/40000, loss=0.1406, lr=0.000657, batch_cost=0.5464, reader_cost=0.0001 | ETA 00:17:39 2021-01-17 22:39:18 [INFO] [TRAIN] epoch=58, iter=38070/40000, loss=0.1480, lr=0.000654, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:17:21 2021-01-17 22:39:23 [INFO] [TRAIN] epoch=58, iter=38080/40000, loss=0.2403, lr=0.000651, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:17:19 2021-01-17 22:39:29 [INFO] [TRAIN] epoch=58, iter=38090/40000, loss=0.1419, lr=0.000648, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:17:04 2021-01-17 22:39:34 [INFO] [TRAIN] epoch=58, iter=38100/40000, loss=0.1678, lr=0.000645, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:17:05 2021-01-17 22:39:40 [INFO] [TRAIN] epoch=58, iter=38110/40000, loss=0.2091, lr=0.000641, batch_cost=0.5466, reader_cost=0.0001 | ETA 00:17:13 2021-01-17 22:39:45 [INFO] [TRAIN] epoch=58, iter=38120/40000, loss=0.1691, lr=0.000638, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:16:48 2021-01-17 22:39:50 [INFO] [TRAIN] epoch=58, iter=38130/40000, loss=0.2158, lr=0.000635, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:16:48 2021-01-17 22:39:56 [INFO] [TRAIN] epoch=58, iter=38140/40000, loss=0.2372, lr=0.000632, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:16:37 2021-01-17 22:40:01 [INFO] [TRAIN] epoch=58, iter=38150/40000, loss=0.1606, lr=0.000629, batch_cost=0.5354, reader_cost=0.0001 | ETA 00:16:30 2021-01-17 22:40:06 [INFO] [TRAIN] epoch=58, iter=38160/40000, loss=0.2126, lr=0.000626, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:16:27 2021-01-17 22:40:12 [INFO] [TRAIN] epoch=58, iter=38170/40000, loss=0.1593, lr=0.000623, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:16:24 2021-01-17 22:40:17 [INFO] [TRAIN] epoch=58, iter=38180/40000, loss=0.2217, lr=0.000620, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:16:24 2021-01-17 22:40:22 [INFO] [TRAIN] epoch=58, iter=38190/40000, loss=0.2048, lr=0.000617, batch_cost=0.5355, reader_cost=0.0001 | ETA 00:16:09 2021-01-17 22:40:28 [INFO] [TRAIN] epoch=58, iter=38200/40000, loss=0.3081, lr=0.000614, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:16:04 2021-01-17 22:40:33 [INFO] [TRAIN] epoch=58, iter=38210/40000, loss=0.1622, lr=0.000611, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:16:03 2021-01-17 22:40:39 [INFO] [TRAIN] epoch=58, iter=38220/40000, loss=0.1767, lr=0.000608, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:15:59 2021-01-17 22:40:44 [INFO] [TRAIN] epoch=58, iter=38230/40000, loss=0.2142, lr=0.000605, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:15:56 2021-01-17 22:40:49 [INFO] [TRAIN] epoch=58, iter=38240/40000, loss=0.2168, lr=0.000602, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:15:51 2021-01-17 22:40:55 [INFO] [TRAIN] epoch=58, iter=38250/40000, loss=0.1888, lr=0.000599, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:15:39 2021-01-17 22:41:00 [INFO] [TRAIN] epoch=58, iter=38260/40000, loss=0.1542, lr=0.000595, batch_cost=0.5422, reader_cost=0.0001 | ETA 00:15:43 2021-01-17 22:41:06 [INFO] [TRAIN] epoch=58, iter=38270/40000, loss=0.1430, lr=0.000592, batch_cost=0.5422, reader_cost=0.0001 | ETA 00:15:37 2021-01-17 22:41:11 [INFO] [TRAIN] epoch=58, iter=38280/40000, loss=0.1515, lr=0.000589, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:15:26 2021-01-17 22:41:16 [INFO] [TRAIN] epoch=58, iter=38290/40000, loss=0.1473, lr=0.000586, batch_cost=0.5346, reader_cost=0.0001 | ETA 00:15:14 2021-01-17 22:41:22 [INFO] [TRAIN] epoch=58, iter=38300/40000, loss=0.2137, lr=0.000583, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:15:16 2021-01-17 22:41:27 [INFO] [TRAIN] epoch=58, iter=38310/40000, loss=0.2157, lr=0.000580, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:15:15 2021-01-17 22:41:33 [INFO] [TRAIN] epoch=58, iter=38320/40000, loss=0.1944, lr=0.000577, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:15:08 2021-01-17 22:41:38 [INFO] [TRAIN] epoch=58, iter=38330/40000, loss=0.2392, lr=0.000574, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:14:59 2021-01-17 22:41:43 [INFO] [TRAIN] epoch=59, iter=38340/40000, loss=0.2002, lr=0.000571, batch_cost=0.5346, reader_cost=0.0113 | ETA 00:14:47 2021-01-17 22:41:49 [INFO] [TRAIN] epoch=59, iter=38350/40000, loss=0.2041, lr=0.000568, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:14:50 2021-01-17 22:41:54 [INFO] [TRAIN] epoch=59, iter=38360/40000, loss=0.2027, lr=0.000565, batch_cost=0.5381, reader_cost=0.0001 | ETA 00:14:42 2021-01-17 22:42:00 [INFO] [TRAIN] epoch=59, iter=38370/40000, loss=0.1823, lr=0.000562, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:14:40 2021-01-17 22:42:05 [INFO] [TRAIN] epoch=59, iter=38380/40000, loss=0.2317, lr=0.000558, batch_cost=0.5386, reader_cost=0.0001 | ETA 00:14:32 2021-01-17 22:42:10 [INFO] [TRAIN] epoch=59, iter=38390/40000, loss=0.1756, lr=0.000555, batch_cost=0.5420, reader_cost=0.0001 | ETA 00:14:32 2021-01-17 22:42:16 [INFO] [TRAIN] epoch=59, iter=38400/40000, loss=0.2328, lr=0.000552, batch_cost=0.5334, reader_cost=0.0001 | ETA 00:14:13 2021-01-17 22:42:21 [INFO] [TRAIN] epoch=59, iter=38410/40000, loss=0.1903, lr=0.000549, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:14:18 2021-01-17 22:42:26 [INFO] [TRAIN] epoch=59, iter=38420/40000, loss=0.1968, lr=0.000546, batch_cost=0.5340, reader_cost=0.0001 | ETA 00:14:03 2021-01-17 22:42:32 [INFO] [TRAIN] epoch=59, iter=38430/40000, loss=0.1803, lr=0.000543, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:14:04 2021-01-17 22:42:37 [INFO] [TRAIN] epoch=59, iter=38440/40000, loss=0.2204, lr=0.000540, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:14:03 2021-01-17 22:42:43 [INFO] [TRAIN] epoch=59, iter=38450/40000, loss=0.1526, lr=0.000537, batch_cost=0.5338, reader_cost=0.0001 | ETA 00:13:47 2021-01-17 22:42:48 [INFO] [TRAIN] epoch=59, iter=38460/40000, loss=0.1962, lr=0.000534, batch_cost=0.5429, reader_cost=0.0001 | ETA 00:13:56 2021-01-17 22:42:53 [INFO] [TRAIN] epoch=59, iter=38470/40000, loss=0.2156, lr=0.000530, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:13:43 2021-01-17 22:42:59 [INFO] [TRAIN] epoch=59, iter=38480/40000, loss=0.2269, lr=0.000527, batch_cost=0.5449, reader_cost=0.0001 | ETA 00:13:48 2021-01-17 22:43:04 [INFO] [TRAIN] epoch=59, iter=38490/40000, loss=0.2122, lr=0.000524, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:13:31 2021-01-17 22:43:10 [INFO] [TRAIN] epoch=59, iter=38500/40000, loss=0.2050, lr=0.000521, batch_cost=0.5410, reader_cost=0.0001 | ETA 00:13:31 2021-01-17 22:43:15 [INFO] [TRAIN] epoch=59, iter=38510/40000, loss=0.2255, lr=0.000518, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:13:19 2021-01-17 22:43:20 [INFO] [TRAIN] epoch=59, iter=38520/40000, loss=0.1711, lr=0.000515, batch_cost=0.5434, reader_cost=0.0001 | ETA 00:13:24 2021-01-17 22:43:26 [INFO] [TRAIN] epoch=59, iter=38530/40000, loss=0.1469, lr=0.000512, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:13:13 2021-01-17 22:43:31 [INFO] [TRAIN] epoch=59, iter=38540/40000, loss=0.1670, lr=0.000509, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:13:05 2021-01-17 22:43:37 [INFO] [TRAIN] epoch=59, iter=38550/40000, loss=0.2023, lr=0.000505, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:12:57 2021-01-17 22:43:42 [INFO] [TRAIN] epoch=59, iter=38560/40000, loss=0.1549, lr=0.000502, batch_cost=0.5371, reader_cost=0.0001 | ETA 00:12:53 2021-01-17 22:43:47 [INFO] [TRAIN] epoch=59, iter=38570/40000, loss=0.2038, lr=0.000499, batch_cost=0.5404, reader_cost=0.0001 | ETA 00:12:52 2021-01-17 22:43:53 [INFO] [TRAIN] epoch=59, iter=38580/40000, loss=0.2095, lr=0.000496, batch_cost=0.5344, reader_cost=0.0001 | ETA 00:12:38 2021-01-17 22:43:58 [INFO] [TRAIN] epoch=59, iter=38590/40000, loss=0.2160, lr=0.000493, batch_cost=0.5436, reader_cost=0.0001 | ETA 00:12:46 2021-01-17 22:44:03 [INFO] [TRAIN] epoch=59, iter=38600/40000, loss=0.1604, lr=0.000490, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:12:33 2021-01-17 22:44:09 [INFO] [TRAIN] epoch=59, iter=38610/40000, loss=0.1529, lr=0.000487, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:12:32 2021-01-17 22:44:14 [INFO] [TRAIN] epoch=59, iter=38620/40000, loss=0.1769, lr=0.000483, batch_cost=0.5424, reader_cost=0.0001 | ETA 00:12:28 2021-01-17 22:44:20 [INFO] [TRAIN] epoch=59, iter=38630/40000, loss=0.2200, lr=0.000480, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:12:17 2021-01-17 22:44:25 [INFO] [TRAIN] epoch=59, iter=38640/40000, loss=0.2269, lr=0.000477, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:12:16 2021-01-17 22:44:31 [INFO] [TRAIN] epoch=59, iter=38650/40000, loss=0.1721, lr=0.000474, batch_cost=0.5440, reader_cost=0.0001 | ETA 00:12:14 2021-01-17 22:44:36 [INFO] [TRAIN] epoch=59, iter=38660/40000, loss=0.1622, lr=0.000471, batch_cost=0.5401, reader_cost=0.0001 | ETA 00:12:03 2021-01-17 22:44:41 [INFO] [TRAIN] epoch=59, iter=38670/40000, loss=0.1863, lr=0.000468, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:12:00 2021-01-17 22:44:47 [INFO] [TRAIN] epoch=59, iter=38680/40000, loss=0.1802, lr=0.000464, batch_cost=0.5356, reader_cost=0.0001 | ETA 00:11:47 2021-01-17 22:44:52 [INFO] [TRAIN] epoch=59, iter=38690/40000, loss=0.1887, lr=0.000461, batch_cost=0.5340, reader_cost=0.0001 | ETA 00:11:39 2021-01-17 22:44:57 [INFO] [TRAIN] epoch=59, iter=38700/40000, loss=0.1515, lr=0.000458, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:11:39 2021-01-17 22:45:03 [INFO] [TRAIN] epoch=59, iter=38710/40000, loss=0.1500, lr=0.000455, batch_cost=0.5439, reader_cost=0.0001 | ETA 00:11:41 2021-01-17 22:45:08 [INFO] [TRAIN] epoch=59, iter=38720/40000, loss=0.2521, lr=0.000452, batch_cost=0.5345, reader_cost=0.0001 | ETA 00:11:24 2021-01-17 22:45:14 [INFO] [TRAIN] epoch=59, iter=38730/40000, loss=0.1804, lr=0.000449, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:11:26 2021-01-17 22:45:19 [INFO] [TRAIN] epoch=59, iter=38740/40000, loss=0.1801, lr=0.000445, batch_cost=0.5396, reader_cost=0.0001 | ETA 00:11:19 2021-01-17 22:45:24 [INFO] [TRAIN] epoch=59, iter=38750/40000, loss=0.1263, lr=0.000442, batch_cost=0.5395, reader_cost=0.0001 | ETA 00:11:14 2021-01-17 22:45:30 [INFO] [TRAIN] epoch=59, iter=38760/40000, loss=0.2273, lr=0.000439, batch_cost=0.5414, reader_cost=0.0001 | ETA 00:11:11 2021-01-17 22:45:35 [INFO] [TRAIN] epoch=59, iter=38770/40000, loss=0.1574, lr=0.000436, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:11:03 2021-01-17 22:45:41 [INFO] [TRAIN] epoch=59, iter=38780/40000, loss=0.2142, lr=0.000433, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:10:57 2021-01-17 22:45:46 [INFO] [TRAIN] epoch=59, iter=38790/40000, loss=0.1836, lr=0.000430, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:10:48 2021-01-17 22:45:51 [INFO] [TRAIN] epoch=59, iter=38800/40000, loss=0.1547, lr=0.000426, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:10:48 2021-01-17 22:45:57 [INFO] [TRAIN] epoch=59, iter=38810/40000, loss=0.1850, lr=0.000423, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:10:41 2021-01-17 22:46:02 [INFO] [TRAIN] epoch=59, iter=38820/40000, loss=0.1940, lr=0.000420, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:10:39 2021-01-17 22:46:08 [INFO] [TRAIN] epoch=59, iter=38830/40000, loss=0.2115, lr=0.000417, batch_cost=0.5421, reader_cost=0.0001 | ETA 00:10:34 2021-01-17 22:46:13 [INFO] [TRAIN] epoch=59, iter=38840/40000, loss=0.2183, lr=0.000414, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:10:21 2021-01-17 22:46:18 [INFO] [TRAIN] epoch=59, iter=38850/40000, loss=0.1646, lr=0.000410, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:10:23 2021-01-17 22:46:24 [INFO] [TRAIN] epoch=59, iter=38860/40000, loss=0.1619, lr=0.000407, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:10:14 2021-01-17 22:46:29 [INFO] [TRAIN] epoch=59, iter=38870/40000, loss=0.2080, lr=0.000404, batch_cost=0.5443, reader_cost=0.0001 | ETA 00:10:15 2021-01-17 22:46:35 [INFO] [TRAIN] epoch=59, iter=38880/40000, loss=0.2027, lr=0.000401, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:10:04 2021-01-17 22:46:40 [INFO] [TRAIN] epoch=59, iter=38890/40000, loss=0.1927, lr=0.000397, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:09:58 2021-01-17 22:46:45 [INFO] [TRAIN] epoch=59, iter=38900/40000, loss=0.2620, lr=0.000394, batch_cost=0.5422, reader_cost=0.0001 | ETA 00:09:56 2021-01-17 22:46:51 [INFO] [TRAIN] epoch=59, iter=38910/40000, loss=0.1844, lr=0.000391, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:09:45 2021-01-17 22:46:56 [INFO] [TRAIN] epoch=59, iter=38920/40000, loss=0.1984, lr=0.000388, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:09:42 2021-01-17 22:47:02 [INFO] [TRAIN] epoch=59, iter=38930/40000, loss=0.1555, lr=0.000385, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:09:36 2021-01-17 22:47:07 [INFO] [TRAIN] epoch=59, iter=38940/40000, loss=0.1581, lr=0.000381, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:09:32 2021-01-17 22:47:12 [INFO] [TRAIN] epoch=59, iter=38950/40000, loss=0.1456, lr=0.000378, batch_cost=0.5369, reader_cost=0.0001 | ETA 00:09:23 2021-01-17 22:47:18 [INFO] [TRAIN] epoch=59, iter=38960/40000, loss=0.1567, lr=0.000375, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:09:20 2021-01-17 22:47:23 [INFO] [TRAIN] epoch=59, iter=38970/40000, loss=0.2065, lr=0.000372, batch_cost=0.5397, reader_cost=0.0001 | ETA 00:09:15 2021-01-17 22:47:29 [INFO] [TRAIN] epoch=59, iter=38980/40000, loss=0.1467, lr=0.000368, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:09:11 2021-01-17 22:47:34 [INFO] [TRAIN] epoch=59, iter=38990/40000, loss=0.1733, lr=0.000365, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:09:07 2021-01-17 22:47:39 [INFO] [TRAIN] epoch=60, iter=39000/40000, loss=0.1883, lr=0.000362, batch_cost=0.5307, reader_cost=0.0202 | ETA 00:08:50 2021-01-17 22:47:39 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:47:59 [INFO] [EVAL] #Images=1449 mIoU=0.8051 Acc=0.9561 Kappa=0.9023 2021-01-17 22:47:59 [INFO] [EVAL] Class IoU: [0.9487 0.9243 0.4411 0.8969 0.7039 0.8452 0.9492 0.9042 0.9376 0.4606 0.9135 0.5448 0.9143 0.9165 0.8913 0.8787 0.7039 0.8991 0.5408 0.9032 0.7892] 2021-01-17 22:47:59 [INFO] [EVAL] Class Acc: [0.9671 0.9558 0.4579 0.9518 0.8173 0.9038 0.9847 0.9655 0.962 0.6806 0.9619 0.9298 0.9585 0.9562 0.9445 0.9478 0.8436 0.9638 0.8374 0.965 0.9385] 2021-01-17 22:48:03 [INFO] [EVAL] The model with the best validation mIoU (0.8089) was saved at iter 38000. 2021-01-17 22:48:09 [INFO] [TRAIN] epoch=60, iter=39010/40000, loss=0.1967, lr=0.000359, batch_cost=0.5313, reader_cost=0.0001 | ETA 00:08:45 2021-01-17 22:48:14 [INFO] [TRAIN] epoch=60, iter=39020/40000, loss=0.1834, lr=0.000355, batch_cost=0.5413, reader_cost=0.0001 | ETA 00:08:50 2021-01-17 22:48:19 [INFO] [TRAIN] epoch=60, iter=39030/40000, loss=0.2298, lr=0.000352, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:08:42 2021-01-17 22:48:25 [INFO] [TRAIN] epoch=60, iter=39040/40000, loss=0.1810, lr=0.000349, batch_cost=0.5385, reader_cost=0.0001 | ETA 00:08:36 2021-01-17 22:48:30 [INFO] [TRAIN] epoch=60, iter=39050/40000, loss=0.2193, lr=0.000346, batch_cost=0.5456, reader_cost=0.0001 | ETA 00:08:38 2021-01-17 22:48:36 [INFO] [TRAIN] epoch=60, iter=39060/40000, loss=0.1685, lr=0.000342, batch_cost=0.5434, reader_cost=0.0001 | ETA 00:08:30 2021-01-17 22:48:41 [INFO] [TRAIN] epoch=60, iter=39070/40000, loss=0.2096, lr=0.000339, batch_cost=0.5419, reader_cost=0.0001 | ETA 00:08:23 2021-01-17 22:48:47 [INFO] [TRAIN] epoch=60, iter=39080/40000, loss=0.1611, lr=0.000336, batch_cost=0.5386, reader_cost=0.0001 | ETA 00:08:15 2021-01-17 22:48:52 [INFO] [TRAIN] epoch=60, iter=39090/40000, loss=0.1751, lr=0.000332, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:08:09 2021-01-17 22:48:57 [INFO] [TRAIN] epoch=60, iter=39100/40000, loss=0.1795, lr=0.000329, batch_cost=0.5340, reader_cost=0.0001 | ETA 00:08:00 2021-01-17 22:49:03 [INFO] [TRAIN] epoch=60, iter=39110/40000, loss=0.2261, lr=0.000326, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:08:01 2021-01-17 22:49:08 [INFO] [TRAIN] epoch=60, iter=39120/40000, loss=0.2183, lr=0.000323, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:07:55 2021-01-17 22:49:14 [INFO] [TRAIN] epoch=60, iter=39130/40000, loss=0.2252, lr=0.000319, batch_cost=0.5432, reader_cost=0.0001 | ETA 00:07:52 2021-01-17 22:49:19 [INFO] [TRAIN] epoch=60, iter=39140/40000, loss=0.1906, lr=0.000316, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:07:42 2021-01-17 22:49:24 [INFO] [TRAIN] epoch=60, iter=39150/40000, loss=0.2139, lr=0.000313, batch_cost=0.5342, reader_cost=0.0001 | ETA 00:07:34 2021-01-17 22:49:30 [INFO] [TRAIN] epoch=60, iter=39160/40000, loss=0.1578, lr=0.000309, batch_cost=0.5409, reader_cost=0.0001 | ETA 00:07:34 2021-01-17 22:49:35 [INFO] [TRAIN] epoch=60, iter=39170/40000, loss=0.1658, lr=0.000306, batch_cost=0.5417, reader_cost=0.0001 | ETA 00:07:29 2021-01-17 22:49:41 [INFO] [TRAIN] epoch=60, iter=39180/40000, loss=0.2281, lr=0.000303, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:07:23 2021-01-17 22:49:46 [INFO] [TRAIN] epoch=60, iter=39190/40000, loss=0.1937, lr=0.000299, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:07:17 2021-01-17 22:49:51 [INFO] [TRAIN] epoch=60, iter=39200/40000, loss=0.1662, lr=0.000296, batch_cost=0.5367, reader_cost=0.0001 | ETA 00:07:09 2021-01-17 22:49:57 [INFO] [TRAIN] epoch=60, iter=39210/40000, loss=0.1334, lr=0.000293, batch_cost=0.5326, reader_cost=0.0001 | ETA 00:07:00 2021-01-17 22:50:02 [INFO] [TRAIN] epoch=60, iter=39220/40000, loss=0.1506, lr=0.000289, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:07:00 2021-01-17 22:50:07 [INFO] [TRAIN] epoch=60, iter=39230/40000, loss=0.2120, lr=0.000286, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:06:52 2021-01-17 22:50:13 [INFO] [TRAIN] epoch=60, iter=39240/40000, loss=0.2017, lr=0.000283, batch_cost=0.5408, reader_cost=0.0001 | ETA 00:06:51 2021-01-17 22:50:18 [INFO] [TRAIN] epoch=60, iter=39250/40000, loss=0.1706, lr=0.000279, batch_cost=0.5423, reader_cost=0.0001 | ETA 00:06:46 2021-01-17 22:50:24 [INFO] [TRAIN] epoch=60, iter=39260/40000, loss=0.1862, lr=0.000276, batch_cost=0.5365, reader_cost=0.0001 | ETA 00:06:37 2021-01-17 22:50:29 [INFO] [TRAIN] epoch=60, iter=39270/40000, loss=0.1910, lr=0.000273, batch_cost=0.5334, reader_cost=0.0001 | ETA 00:06:29 2021-01-17 22:50:34 [INFO] [TRAIN] epoch=60, iter=39280/40000, loss=0.2155, lr=0.000269, batch_cost=0.5418, reader_cost=0.0001 | ETA 00:06:30 2021-01-17 22:50:40 [INFO] [TRAIN] epoch=60, iter=39290/40000, loss=0.2158, lr=0.000266, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:06:22 2021-01-17 22:50:45 [INFO] [TRAIN] epoch=60, iter=39300/40000, loss=0.2432, lr=0.000263, batch_cost=0.5428, reader_cost=0.0001 | ETA 00:06:19 2021-01-17 22:50:51 [INFO] [TRAIN] epoch=60, iter=39310/40000, loss=0.1632, lr=0.000259, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:06:10 2021-01-17 22:50:56 [INFO] [TRAIN] epoch=60, iter=39320/40000, loss=0.2129, lr=0.000256, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:06:07 2021-01-17 22:51:01 [INFO] [TRAIN] epoch=60, iter=39330/40000, loss=0.1661, lr=0.000252, batch_cost=0.5404, reader_cost=0.0001 | ETA 00:06:02 2021-01-17 22:51:07 [INFO] [TRAIN] epoch=60, iter=39340/40000, loss=0.1597, lr=0.000249, batch_cost=0.5405, reader_cost=0.0001 | ETA 00:05:56 2021-01-17 22:51:12 [INFO] [TRAIN] epoch=60, iter=39350/40000, loss=0.2077, lr=0.000246, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:05:50 2021-01-17 22:51:18 [INFO] [TRAIN] epoch=60, iter=39360/40000, loss=0.1564, lr=0.000242, batch_cost=0.5389, reader_cost=0.0001 | ETA 00:05:44 2021-01-17 22:51:23 [INFO] [TRAIN] epoch=60, iter=39370/40000, loss=0.1511, lr=0.000239, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:05:38 2021-01-17 22:51:28 [INFO] [TRAIN] epoch=60, iter=39380/40000, loss=0.1799, lr=0.000235, batch_cost=0.5362, reader_cost=0.0001 | ETA 00:05:32 2021-01-17 22:51:34 [INFO] [TRAIN] epoch=60, iter=39390/40000, loss=0.1209, lr=0.000232, batch_cost=0.5356, reader_cost=0.0001 | ETA 00:05:26 2021-01-17 22:51:39 [INFO] [TRAIN] epoch=60, iter=39400/40000, loss=0.1929, lr=0.000229, batch_cost=0.5462, reader_cost=0.0001 | ETA 00:05:27 2021-01-17 22:51:44 [INFO] [TRAIN] epoch=60, iter=39410/40000, loss=0.2181, lr=0.000225, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:05:17 2021-01-17 22:51:50 [INFO] [TRAIN] epoch=60, iter=39420/40000, loss=0.1529, lr=0.000222, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:05:10 2021-01-17 22:51:55 [INFO] [TRAIN] epoch=60, iter=39430/40000, loss=0.1918, lr=0.000218, batch_cost=0.5355, reader_cost=0.0001 | ETA 00:05:05 2021-01-17 22:52:01 [INFO] [TRAIN] epoch=60, iter=39440/40000, loss=0.2196, lr=0.000215, batch_cost=0.5429, reader_cost=0.0001 | ETA 00:05:04 2021-01-17 22:52:06 [INFO] [TRAIN] epoch=60, iter=39450/40000, loss=0.2092, lr=0.000211, batch_cost=0.5382, reader_cost=0.0001 | ETA 00:04:55 2021-01-17 22:52:11 [INFO] [TRAIN] epoch=60, iter=39460/40000, loss=0.1714, lr=0.000208, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:04:49 2021-01-17 22:52:17 [INFO] [TRAIN] epoch=60, iter=39470/40000, loss=0.2286, lr=0.000205, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:04:46 2021-01-17 22:52:22 [INFO] [TRAIN] epoch=60, iter=39480/40000, loss=0.1364, lr=0.000201, batch_cost=0.5368, reader_cost=0.0001 | ETA 00:04:39 2021-01-17 22:52:27 [INFO] [TRAIN] epoch=60, iter=39490/40000, loss=0.2245, lr=0.000198, batch_cost=0.5377, reader_cost=0.0001 | ETA 00:04:34 2021-01-17 22:52:33 [INFO] [TRAIN] epoch=60, iter=39500/40000, loss=0.2026, lr=0.000194, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:04:29 2021-01-17 22:52:38 [INFO] [TRAIN] epoch=60, iter=39510/40000, loss=0.2124, lr=0.000191, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:04:25 2021-01-17 22:52:44 [INFO] [TRAIN] epoch=60, iter=39520/40000, loss=0.2092, lr=0.000187, batch_cost=0.5392, reader_cost=0.0001 | ETA 00:04:18 2021-01-17 22:52:49 [INFO] [TRAIN] epoch=60, iter=39530/40000, loss=0.1391, lr=0.000184, batch_cost=0.5406, reader_cost=0.0001 | ETA 00:04:14 2021-01-17 22:52:54 [INFO] [TRAIN] epoch=60, iter=39540/40000, loss=0.1640, lr=0.000180, batch_cost=0.5360, reader_cost=0.0001 | ETA 00:04:06 2021-01-17 22:53:00 [INFO] [TRAIN] epoch=60, iter=39550/40000, loss=0.2191, lr=0.000177, batch_cost=0.5398, reader_cost=0.0001 | ETA 00:04:02 2021-01-17 22:53:05 [INFO] [TRAIN] epoch=60, iter=39560/40000, loss=0.1769, lr=0.000173, batch_cost=0.5363, reader_cost=0.0001 | ETA 00:03:55 2021-01-17 22:53:11 [INFO] [TRAIN] epoch=60, iter=39570/40000, loss=0.1578, lr=0.000170, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:03:52 2021-01-17 22:53:16 [INFO] [TRAIN] epoch=60, iter=39580/40000, loss=0.1995, lr=0.000166, batch_cost=0.5361, reader_cost=0.0001 | ETA 00:03:45 2021-01-17 22:53:21 [INFO] [TRAIN] epoch=60, iter=39590/40000, loss=0.2031, lr=0.000162, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:03:40 2021-01-17 22:53:27 [INFO] [TRAIN] epoch=60, iter=39600/40000, loss=0.2193, lr=0.000159, batch_cost=0.5329, reader_cost=0.0001 | ETA 00:03:33 2021-01-17 22:53:32 [INFO] [TRAIN] epoch=60, iter=39610/40000, loss=0.1723, lr=0.000155, batch_cost=0.5364, reader_cost=0.0001 | ETA 00:03:29 2021-01-17 22:53:37 [INFO] [TRAIN] epoch=60, iter=39620/40000, loss=0.1577, lr=0.000152, batch_cost=0.5379, reader_cost=0.0001 | ETA 00:03:24 2021-01-17 22:53:43 [INFO] [TRAIN] epoch=60, iter=39630/40000, loss=0.1567, lr=0.000148, batch_cost=0.5411, reader_cost=0.0001 | ETA 00:03:20 2021-01-17 22:53:48 [INFO] [TRAIN] epoch=60, iter=39640/40000, loss=0.1583, lr=0.000145, batch_cost=0.5447, reader_cost=0.0001 | ETA 00:03:16 2021-01-17 22:53:54 [INFO] [TRAIN] epoch=60, iter=39650/40000, loss=0.2017, lr=0.000141, batch_cost=0.5400, reader_cost=0.0001 | ETA 00:03:09 2021-01-17 22:53:59 [INFO] [TRAIN] epoch=60, iter=39660/40000, loss=0.2068, lr=0.000137, batch_cost=0.5153, reader_cost=0.0001 | ETA 00:02:55 2021-01-17 22:54:04 [INFO] [TRAIN] epoch=61, iter=39670/40000, loss=0.1531, lr=0.000134, batch_cost=0.5590, reader_cost=0.0109 | ETA 00:03:04 2021-01-17 22:54:10 [INFO] [TRAIN] epoch=61, iter=39680/40000, loss=0.2280, lr=0.000130, batch_cost=0.5412, reader_cost=0.0001 | ETA 00:02:53 2021-01-17 22:54:15 [INFO] [TRAIN] epoch=61, iter=39690/40000, loss=0.1528, lr=0.000126, batch_cost=0.5467, reader_cost=0.0001 | ETA 00:02:49 2021-01-17 22:54:21 [INFO] [TRAIN] epoch=61, iter=39700/40000, loss=0.1821, lr=0.000123, batch_cost=0.5399, reader_cost=0.0001 | ETA 00:02:41 2021-01-17 22:54:26 [INFO] [TRAIN] epoch=61, iter=39710/40000, loss=0.1716, lr=0.000119, batch_cost=0.5372, reader_cost=0.0001 | ETA 00:02:35 2021-01-17 22:54:31 [INFO] [TRAIN] epoch=61, iter=39720/40000, loss=0.1212, lr=0.000115, batch_cost=0.5384, reader_cost=0.0001 | ETA 00:02:30 2021-01-17 22:54:37 [INFO] [TRAIN] epoch=61, iter=39730/40000, loss=0.2038, lr=0.000112, batch_cost=0.5407, reader_cost=0.0001 | ETA 00:02:25 2021-01-17 22:54:42 [INFO] [TRAIN] epoch=61, iter=39740/40000, loss=0.1984, lr=0.000108, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:02:20 2021-01-17 22:54:48 [INFO] [TRAIN] epoch=61, iter=39750/40000, loss=0.1859, lr=0.000104, batch_cost=0.5376, reader_cost=0.0001 | ETA 00:02:14 2021-01-17 22:54:53 [INFO] [TRAIN] epoch=61, iter=39760/40000, loss=0.2266, lr=0.000100, batch_cost=0.5349, reader_cost=0.0001 | ETA 00:02:08 2021-01-17 22:54:58 [INFO] [TRAIN] epoch=61, iter=39770/40000, loss=0.1533, lr=0.000097, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:02:03 2021-01-17 22:55:04 [INFO] [TRAIN] epoch=61, iter=39780/40000, loss=0.1497, lr=0.000093, batch_cost=0.5339, reader_cost=0.0001 | ETA 00:01:57 2021-01-17 22:55:09 [INFO] [TRAIN] epoch=61, iter=39790/40000, loss=0.1290, lr=0.000089, batch_cost=0.5380, reader_cost=0.0001 | ETA 00:01:52 2021-01-17 22:55:15 [INFO] [TRAIN] epoch=61, iter=39800/40000, loss=0.2066, lr=0.000085, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:01:47 2021-01-17 22:55:20 [INFO] [TRAIN] epoch=61, iter=39810/40000, loss=0.1292, lr=0.000081, batch_cost=0.5354, reader_cost=0.0001 | ETA 00:01:41 2021-01-17 22:55:25 [INFO] [TRAIN] epoch=61, iter=39820/40000, loss=0.1601, lr=0.000078, batch_cost=0.5356, reader_cost=0.0001 | ETA 00:01:36 2021-01-17 22:55:31 [INFO] [TRAIN] epoch=61, iter=39830/40000, loss=0.1530, lr=0.000074, batch_cost=0.5374, reader_cost=0.0001 | ETA 00:01:31 2021-01-17 22:55:36 [INFO] [TRAIN] epoch=61, iter=39840/40000, loss=0.1709, lr=0.000070, batch_cost=0.5388, reader_cost=0.0001 | ETA 00:01:26 2021-01-17 22:55:41 [INFO] [TRAIN] epoch=61, iter=39850/40000, loss=0.1854, lr=0.000066, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:01:20 2021-01-17 22:55:47 [INFO] [TRAIN] epoch=61, iter=39860/40000, loss=0.1867, lr=0.000062, batch_cost=0.5416, reader_cost=0.0001 | ETA 00:01:15 2021-01-17 22:55:52 [INFO] [TRAIN] epoch=61, iter=39870/40000, loss=0.1742, lr=0.000058, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:01:09 2021-01-17 22:55:58 [INFO] [TRAIN] epoch=61, iter=39880/40000, loss=0.1642, lr=0.000054, batch_cost=0.5415, reader_cost=0.0001 | ETA 00:01:04 2021-01-17 22:56:03 [INFO] [TRAIN] epoch=61, iter=39890/40000, loss=0.1781, lr=0.000050, batch_cost=0.5390, reader_cost=0.0001 | ETA 00:00:59 2021-01-17 22:56:08 [INFO] [TRAIN] epoch=61, iter=39900/40000, loss=0.1532, lr=0.000046, batch_cost=0.5403, reader_cost=0.0001 | ETA 00:00:54 2021-01-17 22:56:14 [INFO] [TRAIN] epoch=61, iter=39910/40000, loss=0.2008, lr=0.000042, batch_cost=0.5359, reader_cost=0.0001 | ETA 00:00:48 2021-01-17 22:56:19 [INFO] [TRAIN] epoch=61, iter=39920/40000, loss=0.1772, lr=0.000038, batch_cost=0.5383, reader_cost=0.0001 | ETA 00:00:43 2021-01-17 22:56:24 [INFO] [TRAIN] epoch=61, iter=39930/40000, loss=0.1844, lr=0.000033, batch_cost=0.5393, reader_cost=0.0001 | ETA 00:00:37 2021-01-17 22:56:30 [INFO] [TRAIN] epoch=61, iter=39940/40000, loss=0.1933, lr=0.000029, batch_cost=0.5394, reader_cost=0.0001 | ETA 00:00:32 2021-01-17 22:56:35 [INFO] [TRAIN] epoch=61, iter=39950/40000, loss=0.2352, lr=0.000025, batch_cost=0.5447, reader_cost=0.0001 | ETA 00:00:27 2021-01-17 22:56:41 [INFO] [TRAIN] epoch=61, iter=39960/40000, loss=0.2218, lr=0.000020, batch_cost=0.5387, reader_cost=0.0001 | ETA 00:00:21 2021-01-17 22:56:46 [INFO] [TRAIN] epoch=61, iter=39970/40000, loss=0.2069, lr=0.000016, batch_cost=0.5425, reader_cost=0.0001 | ETA 00:00:16 2021-01-17 22:56:52 [INFO] [TRAIN] epoch=61, iter=39980/40000, loss=0.1351, lr=0.000011, batch_cost=0.5437, reader_cost=0.0001 | ETA 00:00:10 2021-01-17 22:56:57 [INFO] [TRAIN] epoch=61, iter=39990/40000, loss=0.1753, lr=0.000006, batch_cost=0.5370, reader_cost=0.0001 | ETA 00:00:05 2021-01-17 22:57:02 [INFO] [TRAIN] epoch=61, iter=40000/40000, loss=0.1824, lr=0.000001, batch_cost=0.5350, reader_cost=0.0001 | ETA 00:00:00 2021-01-17 22:57:02 [INFO] Start evaluating (total_samples=1449, total_iters=363)... 2021-01-17 22:57:22 [INFO] [EVAL] #Images=1449 mIoU=0.8040 Acc=0.9559 Kappa=0.9018 2021-01-17 22:57:22 [INFO] [EVAL] Class IoU: [0.9486 0.9216 0.441 0.9011 0.6979 0.8461 0.9501 0.9035 0.9372 0.4591 0.9098 0.5503 0.912 0.915 0.8921 0.8789 0.7045 0.8976 0.5337 0.8939 0.7889] 2021-01-17 22:57:22 [INFO] [EVAL] Class Acc: [0.9669 0.9541 0.458 0.9552 0.8176 0.9028 0.9841 0.964 0.9619 0.675 0.9597 0.9328 0.9547 0.9554 0.9445 0.9462 0.8479 0.9635 0.8484 0.9664 0.9367] 2021-01-17 22:57:27 [INFO] [EVAL] The model with the best validation mIoU (0.8089) was saved at iter 38000.