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stage2.log
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stage2.log
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2022-03-15 12:43:26,704 INFO GTA5_loader source dataset has been created
2022-03-15 12:43:29,298 INFO Cityscapes_loader target dataset has been created
2022-03-15 12:43:29,741 INFO Cityscapes_loader target_valid dataset has been created
2022-03-15 12:43:31,008 INFO the backbone is deeplabv2
2022-03-15 12:43:31,009 INFO the temperature is 0.08
2022-03-15 12:43:31,009 INFO the epsilon is 0.05
2022-03-15 12:43:31,009 INFO the parameter for self labeling is 0.1
2022-03-15 12:43:31,009 INFO the parameter for weight regularisation is 0
2022-03-15 12:43:31,009 INFO loss weight for proto_consist is 1.0
2022-03-15 12:44:26,817 INFO Epochs [1/128] Iter [20/90000] loss_GTA: 1.2080 loss: 1.5744 Time/Image: 0.5843
2022-03-15 12:45:03,285 INFO Epochs [1/128] Iter [40/90000] loss_GTA: 0.8311 loss: 1.1257 Time/Image: 0.4509
2022-03-15 12:45:41,446 INFO Epochs [1/128] Iter [60/90000] loss_GTA: 2.2119 loss: 0.6389 Time/Image: 0.4545
2022-03-15 12:46:23,427 INFO Epochs [1/128] Iter [80/90000] loss_GTA: 1.4131 loss: 0.5850 Time/Image: 0.4536
2022-03-15 12:47:06,180 INFO Epochs [1/128] Iter [100/90000] loss_GTA: 0.8121 loss: 0.8059 Time/Image: 0.4576
2022-03-15 12:47:47,526 INFO Epochs [1/128] Iter [120/90000] loss_GTA: 0.6502 loss: 1.0043 Time/Image: 0.4550
2022-03-15 12:48:27,085 INFO Epochs [1/128] Iter [140/90000] loss_GTA: 0.5664 loss: 0.6985 Time/Image: 0.4567
2022-03-15 12:49:07,490 INFO Epochs [1/128] Iter [160/90000] loss_GTA: 1.0276 loss: 1.6403 Time/Image: 0.4522
2022-03-15 12:49:47,069 INFO Epochs [1/128] Iter [180/90000] loss_GTA: 0.5502 loss: 0.3270 Time/Image: 0.4561
2022-03-15 12:50:29,583 INFO Epochs [1/128] Iter [200/90000] loss_GTA: 1.7564 loss: 1.3827 Time/Image: 0.4570
2022-03-15 12:51:12,702 INFO Epochs [1/128] Iter [220/90000] loss_GTA: 0.5436 loss: 2.4477 Time/Image: 0.4545
2022-03-15 12:51:52,372 INFO Epochs [1/128] Iter [240/90000] loss_GTA: 0.5716 loss: 0.4972 Time/Image: 0.4599
2022-03-15 12:52:31,151 INFO Epochs [1/128] Iter [260/90000] loss_GTA: 0.7821 loss: 0.6227 Time/Image: 0.4573
2022-03-15 12:53:13,545 INFO Epochs [1/128] Iter [280/90000] loss_GTA: 0.9182 loss: 0.7207 Time/Image: 0.4545
2022-03-15 12:53:54,199 INFO Epochs [1/128] Iter [300/90000] loss_GTA: 0.7866 loss: 0.6888 Time/Image: 0.4555
2022-03-15 12:54:35,514 INFO Epochs [1/128] Iter [320/90000] loss_GTA: 0.3860 loss: 0.1931 Time/Image: 0.4529
2022-03-15 12:55:18,925 INFO Epochs [1/128] Iter [340/90000] loss_GTA: 1.5253 loss: 0.3043 Time/Image: 0.4571
2022-03-15 12:56:00,213 INFO Epochs [1/128] Iter [360/90000] loss_GTA: 1.0577 loss: 0.7174 Time/Image: 0.4534
2022-03-15 12:56:41,446 INFO Epochs [1/128] Iter [380/90000] loss_GTA: 0.5294 loss: 0.5499 Time/Image: 0.4565
2022-03-15 12:57:25,035 INFO Epochs [1/128] Iter [400/90000] loss_GTA: 0.5767 loss: 0.7710 Time/Image: 0.4607
2022-03-15 12:58:05,511 INFO Epochs [1/128] Iter [420/90000] loss_GTA: 0.3605 loss: 0.8587 Time/Image: 0.4541
2022-03-15 12:58:45,326 INFO Epochs [1/128] Iter [440/90000] loss_GTA: 0.4963 loss: 0.1892 Time/Image: 0.4558
2022-03-15 12:59:25,126 INFO Epochs [1/128] Iter [460/90000] loss_GTA: 1.5486 loss: 0.1291 Time/Image: 0.4572
2022-03-15 13:00:03,288 INFO Epochs [1/128] Iter [480/90000] loss_GTA: 0.3891 loss: 0.2883 Time/Image: 0.4546
2022-03-15 13:00:42,509 INFO Epochs [1/128] Iter [500/90000] loss_GTA: 0.2444 loss: 0.1414 Time/Image: 0.4594
2022-03-15 13:01:25,945 INFO Epochs [1/128] Iter [520/90000] loss_GTA: 0.5014 loss: 0.3665 Time/Image: 0.4581
2022-03-15 13:02:06,687 INFO Epochs [1/128] Iter [540/90000] loss_GTA: 0.4602 loss: 0.3986 Time/Image: 0.4558
2022-03-15 13:02:48,835 INFO Epochs [1/128] Iter [560/90000] loss_GTA: 0.5542 loss: 0.1710 Time/Image: 0.4557
2022-03-15 13:03:31,402 INFO Epochs [1/128] Iter [580/90000] loss_GTA: 0.5486 loss: 0.2150 Time/Image: 0.4569
2022-03-15 13:04:11,620 INFO Epochs [1/128] Iter [600/90000] loss_GTA: 0.3728 loss: 0.4865 Time/Image: 0.4579
2022-03-15 13:04:50,689 INFO Epochs [1/128] Iter [620/90000] loss_GTA: 1.0360 loss: 0.1861 Time/Image: 0.4592
2022-03-15 13:05:29,469 INFO Epochs [1/128] Iter [640/90000] loss_GTA: 0.4504 loss: 0.6790 Time/Image: 0.4532
2022-03-15 13:06:10,779 INFO Epochs [1/128] Iter [660/90000] loss_GTA: 0.5313 loss: 0.4240 Time/Image: 0.4546
2022-03-15 13:06:50,985 INFO Epochs [1/128] Iter [680/90000] loss_GTA: 0.7425 loss: 0.1114 Time/Image: 0.4584
2022-03-15 13:07:33,204 INFO Epochs [1/128] Iter [700/90000] loss_GTA: 0.5145 loss: 0.2583 Time/Image: 0.4544
2022-03-15 13:08:13,080 INFO Epochs [1/128] Iter [720/90000] loss_GTA: 0.3167 loss: 0.2445 Time/Image: 0.4582
2022-03-15 13:08:53,631 INFO Epochs [1/128] Iter [740/90000] loss_GTA: 0.6437 loss: 0.3361 Time/Image: 0.4518
2022-03-15 13:09:37,052 INFO Epochs [2/128] Iter [760/90000] loss_GTA: 0.3510 loss: 0.1564 Time/Image: 0.4585
2022-03-15 13:10:17,289 INFO Epochs [2/128] Iter [780/90000] loss_GTA: 0.6615 loss: 0.5348 Time/Image: 0.4560
2022-03-15 13:10:59,368 INFO Epochs [2/128] Iter [800/90000] loss_GTA: 1.3220 loss: 0.2091 Time/Image: 0.4542
2022-03-15 13:11:42,585 INFO Epochs [2/128] Iter [820/90000] loss_GTA: 0.4147 loss: 0.2644 Time/Image: 0.4574
2022-03-15 13:12:23,569 INFO Epochs [2/128] Iter [840/90000] loss_GTA: 0.2790 loss: 0.1368 Time/Image: 0.4547
2022-03-15 13:13:02,670 INFO Epochs [2/128] Iter [860/90000] loss_GTA: 0.2993 loss: 0.1260 Time/Image: 0.4555
2022-03-15 13:13:46,266 INFO Epochs [2/128] Iter [880/90000] loss_GTA: 0.6820 loss: 0.2150 Time/Image: 0.4549
2022-03-15 13:14:26,963 INFO Epochs [2/128] Iter [900/90000] loss_GTA: 0.5975 loss: 0.2673 Time/Image: 0.4554
2022-03-15 13:15:05,089 INFO Epochs [2/128] Iter [920/90000] loss_GTA: 0.3810 loss: 0.0800 Time/Image: 0.4559
2022-03-15 13:15:44,312 INFO Epochs [2/128] Iter [940/90000] loss_GTA: 0.5256 loss: 0.2958 Time/Image: 0.4553
2022-03-15 13:16:21,040 INFO Epochs [2/128] Iter [960/90000] loss_GTA: 0.2671 loss: 0.2390 Time/Image: 0.4544
2022-03-15 13:16:59,630 INFO Epochs [2/128] Iter [980/90000] loss_GTA: 0.5868 loss: 0.0918 Time/Image: 0.4547
2022-03-15 13:17:40,488 INFO Epochs [2/128] Iter [1000/90000] loss_GTA: 0.9187 loss: 0.0702 Time/Image: 0.4549
2022-03-15 13:17:40,489 INFO learning rate is 0.005940086664086076 for ResNet101 net
2022-03-15 13:17:40,491 INFO Successfully set the model eval mode
2022-03-15 13:19:18,644 INFO Overall Acc: : 0.8586838372895663
2022-03-15 13:19:18,644 INFO Mean Acc : : 0.455490451187778
2022-03-15 13:19:18,644 INFO FreqW Acc : : 0.7658821210492159
2022-03-15 13:19:18,644 INFO Mean IoU : : 0.36131686032079513
2022-03-15 13:19:18,644 INFO 0: 0.8789705377209047
2022-03-15 13:19:18,644 INFO 1: 0.5465703613137721
2022-03-15 13:19:18,644 INFO 2: 0.7512074031662715
2022-03-15 13:19:18,644 INFO 3: 0.21777244798425424
2022-03-15 13:19:18,644 INFO 4: 0.03283660751847873
2022-03-15 13:19:18,644 INFO 5: 0.2976418989072508
2022-03-15 13:19:18,644 INFO 6: 0.0064543315658250515
2022-03-15 13:19:18,644 INFO 7: 0.25633083478767943
2022-03-15 13:19:18,644 INFO 8: 0.8189942192055105
2022-03-15 13:19:18,644 INFO 9: 0.42107998752945636
2022-03-15 13:19:18,644 INFO 10: 0.7363297461500944
2022-03-15 13:19:18,644 INFO 11: 0.5533005392674637
2022-03-15 13:19:18,644 INFO 12: 1.3159446432701832e-05
2022-03-15 13:19:18,645 INFO 13: 0.8004815730187956
2022-03-15 13:19:18,645 INFO 14: 0.13385359781138315
2022-03-15 13:19:18,645 INFO 15: 0.0
2022-03-15 13:19:18,645 INFO 16: 0.0
2022-03-15 13:19:18,645 INFO 17: 0.0
2022-03-15 13:19:18,645 INFO 18: 0.41318310070153424
2022-03-15 13:19:20,297 INFO Best iou until now is 0.36131686032079513
2022-03-15 13:19:58,392 INFO Epochs [2/128] Iter [1020/90000] loss_GTA: 0.4796 loss: 0.4660 Time/Image: 0.4706
2022-03-15 13:20:36,196 INFO Epochs [2/128] Iter [1040/90000] loss_GTA: 0.4698 loss: 0.1978 Time/Image: 0.4670
2022-03-15 13:21:14,135 INFO Epochs [2/128] Iter [1060/90000] loss_GTA: 0.9501 loss: 0.1276 Time/Image: 0.4683
2022-03-15 13:21:54,552 INFO Epochs [2/128] Iter [1080/90000] loss_GTA: 0.4180 loss: 0.3356 Time/Image: 0.4714
2022-03-15 13:22:33,978 INFO Epochs [2/128] Iter [1100/90000] loss_GTA: 0.4202 loss: 0.4425 Time/Image: 0.4647
2022-03-15 13:23:13,668 INFO Epochs [2/128] Iter [1120/90000] loss_GTA: 0.4809 loss: 0.6783 Time/Image: 0.4627
2022-03-15 13:23:52,287 INFO Epochs [2/128] Iter [1140/90000] loss_GTA: 0.2919 loss: 0.7809 Time/Image: 0.4674
2022-03-15 13:24:31,458 INFO Epochs [2/128] Iter [1160/90000] loss_GTA: 0.3330 loss: 0.6069 Time/Image: 0.4662
2022-03-15 13:25:12,251 INFO Epochs [2/128] Iter [1180/90000] loss_GTA: 1.0921 loss: 0.2891 Time/Image: 0.4715
2022-03-15 13:25:50,680 INFO Epochs [2/128] Iter [1200/90000] loss_GTA: 0.5180 loss: 0.4785 Time/Image: 0.4688
2022-03-15 13:26:30,432 INFO Epochs [2/128] Iter [1220/90000] loss_GTA: 0.4980 loss: 0.4577 Time/Image: 0.4658
2022-03-15 13:27:11,416 INFO Epochs [2/128] Iter [1240/90000] loss_GTA: 0.4517 loss: 0.1129 Time/Image: 0.4638
2022-03-15 13:27:51,561 INFO Epochs [2/128] Iter [1260/90000] loss_GTA: 0.4515 loss: 0.2821 Time/Image: 0.4648
2022-03-15 13:28:33,397 INFO Epochs [2/128] Iter [1280/90000] loss_GTA: 0.2919 loss: 0.0765 Time/Image: 0.4665
2022-03-15 13:29:15,240 INFO Epochs [2/128] Iter [1300/90000] loss_GTA: 0.5390 loss: 0.0887 Time/Image: 0.4674
2022-03-15 13:29:54,957 INFO Epochs [2/128] Iter [1320/90000] loss_GTA: 0.5479 loss: 0.5054 Time/Image: 0.4701
2022-03-15 13:30:34,731 INFO Epochs [2/128] Iter [1340/90000] loss_GTA: 0.4015 loss: 0.1533 Time/Image: 0.4639
2022-03-15 13:31:16,322 INFO Epochs [2/128] Iter [1360/90000] loss_GTA: 0.3501 loss: 0.3568 Time/Image: 0.4638
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2022-03-15 13:32:40,124 INFO Epochs [2/128] Iter [1400/90000] loss_GTA: 0.4050 loss: 0.0942 Time/Image: 0.4626
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2022-03-15 13:35:13,891 INFO Epochs [2/128] Iter [1480/90000] loss_GTA: 0.3393 loss: 0.2152 Time/Image: 0.4658
2022-03-15 13:35:56,186 INFO Epochs [3/128] Iter [1500/90000] loss_GTA: 0.2215 loss: 0.1594 Time/Image: 0.4683
2022-03-15 13:36:33,913 INFO Epochs [3/128] Iter [1520/90000] loss_GTA: 0.3233 loss: 0.0617 Time/Image: 0.4652
2022-03-15 13:37:13,343 INFO Epochs [3/128] Iter [1540/90000] loss_GTA: 0.4101 loss: 0.2460 Time/Image: 0.4709
2022-03-15 13:37:53,019 INFO Epochs [3/128] Iter [1560/90000] loss_GTA: 0.4002 loss: 0.2403 Time/Image: 0.4669
2022-03-15 13:38:32,420 INFO Epochs [3/128] Iter [1580/90000] loss_GTA: 0.3336 loss: 0.1117 Time/Image: 0.4645
2022-03-15 13:39:13,550 INFO Epochs [3/128] Iter [1600/90000] loss_GTA: 0.4074 loss: 0.1033 Time/Image: 0.4640
2022-03-15 13:39:53,836 INFO Epochs [3/128] Iter [1620/90000] loss_GTA: 0.2626 loss: 0.1935 Time/Image: 0.4679
2022-03-15 13:40:35,678 INFO Epochs [3/128] Iter [1640/90000] loss_GTA: 0.2590 loss: 0.3170 Time/Image: 0.4690
2022-03-15 13:41:16,677 INFO Epochs [3/128] Iter [1660/90000] loss_GTA: 0.2118 loss: 0.1160 Time/Image: 0.4674
2022-03-15 13:41:54,442 INFO Epochs [3/128] Iter [1680/90000] loss_GTA: 0.2805 loss: 0.1991 Time/Image: 0.4672
2022-03-15 13:42:32,726 INFO Epochs [3/128] Iter [1700/90000] loss_GTA: 0.5714 loss: 0.1176 Time/Image: 0.4652
2022-03-15 13:43:11,716 INFO Epochs [3/128] Iter [1720/90000] loss_GTA: 0.4270 loss: 0.4949 Time/Image: 0.4662
2022-03-15 13:43:51,743 INFO Epochs [3/128] Iter [1740/90000] loss_GTA: 0.5829 loss: 0.0213 Time/Image: 0.4642
2022-03-15 13:44:32,372 INFO Epochs [3/128] Iter [1760/90000] loss_GTA: 0.4455 loss: 0.1699 Time/Image: 0.4626
2022-03-15 13:45:12,514 INFO Epochs [3/128] Iter [1780/90000] loss_GTA: 0.7909 loss: 0.1710 Time/Image: 0.4624
2022-03-15 13:45:53,435 INFO Epochs [3/128] Iter [1800/90000] loss_GTA: 0.2781 loss: 0.5155 Time/Image: 0.4652
2022-03-15 13:46:32,602 INFO Epochs [3/128] Iter [1820/90000] loss_GTA: 0.5091 loss: 0.1215 Time/Image: 0.4607
2022-03-15 13:47:13,306 INFO Epochs [3/128] Iter [1840/90000] loss_GTA: 0.4465 loss: 0.1645 Time/Image: 0.4606
2022-03-15 13:47:55,279 INFO Epochs [3/128] Iter [1860/90000] loss_GTA: 0.3091 loss: 0.1204 Time/Image: 0.4684
2022-03-15 13:48:36,411 INFO Epochs [3/128] Iter [1880/90000] loss_GTA: 0.2262 loss: 0.2872 Time/Image: 0.4640
2022-03-15 13:49:17,152 INFO Epochs [3/128] Iter [1900/90000] loss_GTA: 0.5526 loss: 0.2306 Time/Image: 0.4632
2022-03-15 13:49:58,071 INFO Epochs [3/128] Iter [1920/90000] loss_GTA: 0.2378 loss: 0.2873 Time/Image: 0.4623
2022-03-15 13:50:37,534 INFO Epochs [3/128] Iter [1940/90000] loss_GTA: 0.4516 loss: 0.6065 Time/Image: 0.4676
2022-03-15 13:51:17,564 INFO Epochs [3/128] Iter [1960/90000] loss_GTA: 0.5939 loss: 0.0632 Time/Image: 0.4643
2022-03-15 13:51:58,607 INFO Epochs [3/128] Iter [1980/90000] loss_GTA: 0.5308 loss: 0.1027 Time/Image: 0.4644
2022-03-15 13:52:39,604 INFO Epochs [3/128] Iter [2000/90000] loss_GTA: 0.4900 loss: 0.0601 Time/Image: 0.4635
2022-03-15 13:52:39,604 INFO learning rate is 0.005879985837235534 for ResNet101 net
2022-03-15 13:52:39,606 INFO Successfully set the model eval mode
2022-03-15 13:54:13,747 INFO Overall Acc: : 0.8836401127349571
2022-03-15 13:54:13,748 INFO Mean Acc : : 0.5614468016387058
2022-03-15 13:54:13,748 INFO FreqW Acc : : 0.8085144697009157
2022-03-15 13:54:13,748 INFO Mean IoU : : 0.4407408223415545
2022-03-15 13:54:13,748 INFO 0: 0.9045460549286675
2022-03-15 13:54:13,748 INFO 1: 0.5144327995761775
2022-03-15 13:54:13,748 INFO 2: 0.8327235355752592
2022-03-15 13:54:13,748 INFO 3: 0.33160696483098934
2022-03-15 13:54:13,748 INFO 4: 0.2655400312763228
2022-03-15 13:54:13,748 INFO 5: 0.40287601999283684
2022-03-15 13:54:13,748 INFO 6: 0.2777398168805475
2022-03-15 13:54:13,748 INFO 7: 0.3512238719083466
2022-03-15 13:54:13,748 INFO 8: 0.8471497955959825
2022-03-15 13:54:13,748 INFO 9: 0.401259465727358
2022-03-15 13:54:13,749 INFO 10: 0.7600218185084467
2022-03-15 13:54:13,749 INFO 11: 0.6086421566658652
2022-03-15 13:54:13,749 INFO 12: 0.018061264362699274
2022-03-15 13:54:13,749 INFO 13: 0.8550642842381281
2022-03-15 13:54:13,749 INFO 14: 0.23005123308324055
2022-03-15 13:54:13,749 INFO 15: 0.09838366238298697
2022-03-15 13:54:13,749 INFO 16: 0.14178250349226168
2022-03-15 13:54:13,749 INFO 17: 0.01512355354441249
2022-03-15 13:54:13,749 INFO 18: 0.5178467919190065
2022-03-15 13:54:16,725 INFO Best iou until now is 0.4407408223415545
2022-03-15 13:54:54,723 INFO Epochs [3/128] Iter [2020/90000] loss_GTA: 0.2694 loss: 0.0716 Time/Image: 0.4702
2022-03-15 13:55:32,326 INFO Epochs [3/128] Iter [2040/90000] loss_GTA: 0.7409 loss: 0.0689 Time/Image: 0.4645
2022-03-15 13:56:09,592 INFO Epochs [3/128] Iter [2060/90000] loss_GTA: 0.4704 loss: 0.0674 Time/Image: 0.4604
2022-03-15 13:56:47,179 INFO Epochs [3/128] Iter [2080/90000] loss_GTA: 0.2837 loss: 0.1666 Time/Image: 0.4642
2022-03-15 13:57:27,111 INFO Epochs [3/128] Iter [2100/90000] loss_GTA: 0.4830 loss: 0.1089 Time/Image: 0.4659
2022-03-15 13:58:08,540 INFO Epochs [3/128] Iter [2120/90000] loss_GTA: 0.4010 loss: 0.1005 Time/Image: 0.4636
2022-03-15 13:58:49,496 INFO Epochs [3/128] Iter [2140/90000] loss_GTA: 0.2647 loss: 0.1675 Time/Image: 0.4658
2022-03-15 13:59:31,503 INFO Epochs [3/128] Iter [2160/90000] loss_GTA: 0.4821 loss: 0.0809 Time/Image: 0.4631
2022-03-15 14:00:11,782 INFO Epochs [3/128] Iter [2180/90000] loss_GTA: 0.7204 loss: 0.2655 Time/Image: 0.4663
2022-03-15 14:00:52,578 INFO Epochs [3/128] Iter [2200/90000] loss_GTA: 0.4151 loss: 0.0218 Time/Image: 0.4671
2022-03-15 14:01:33,681 INFO Epochs [3/128] Iter [2220/90000] loss_GTA: 0.3366 loss: 0.0815 Time/Image: 0.4644
2022-03-15 14:02:15,833 INFO Epochs [4/128] Iter [2240/90000] loss_GTA: 0.6136 loss: 0.0722 Time/Image: 0.4695
2022-03-15 14:02:56,831 INFO Epochs [4/128] Iter [2260/90000] loss_GTA: 0.3909 loss: 0.1582 Time/Image: 0.4655
2022-03-15 14:03:37,055 INFO Epochs [4/128] Iter [2280/90000] loss_GTA: 0.3961 loss: 0.2114 Time/Image: 0.4671
2022-03-15 14:04:14,851 INFO Epochs [4/128] Iter [2300/90000] loss_GTA: 0.1981 loss: 0.1572 Time/Image: 0.4675
2022-03-15 14:04:52,679 INFO Epochs [4/128] Iter [2320/90000] loss_GTA: 0.2945 loss: 0.0393 Time/Image: 0.4671
2022-03-15 14:05:31,262 INFO Epochs [4/128] Iter [2340/90000] loss_GTA: 1.3472 loss: 0.0486 Time/Image: 0.4666
2022-03-15 14:06:12,434 INFO Epochs [4/128] Iter [2360/90000] loss_GTA: 0.3670 loss: 0.3869 Time/Image: 0.4663
2022-03-15 14:06:55,385 INFO Epochs [4/128] Iter [2380/90000] loss_GTA: 0.4280 loss: 0.3301 Time/Image: 0.4672
2022-03-15 14:07:36,397 INFO Epochs [4/128] Iter [2400/90000] loss_GTA: 0.2516 loss: 0.1521 Time/Image: 0.4665
2022-03-15 14:08:17,728 INFO Epochs [4/128] Iter [2420/90000] loss_GTA: 0.5230 loss: 0.1221 Time/Image: 0.4650
2022-03-15 14:09:00,676 INFO Epochs [4/128] Iter [2440/90000] loss_GTA: 0.4633 loss: 0.2210 Time/Image: 0.4653
2022-03-15 14:09:42,639 INFO Epochs [4/128] Iter [2460/90000] loss_GTA: 0.3028 loss: 0.1489 Time/Image: 0.4656
2022-03-15 14:10:24,531 INFO Epochs [4/128] Iter [2480/90000] loss_GTA: 0.3618 loss: 0.2603 Time/Image: 0.4645
2022-03-15 14:11:06,934 INFO Epochs [4/128] Iter [2500/90000] loss_GTA: 1.5352 loss: 0.1986 Time/Image: 0.4621
2022-03-15 14:11:45,557 INFO Epochs [4/128] Iter [2520/90000] loss_GTA: 0.3233 loss: 0.3134 Time/Image: 0.4677
2022-03-15 14:12:24,718 INFO Epochs [4/128] Iter [2540/90000] loss_GTA: 0.4892 loss: 0.0398 Time/Image: 0.4660
2022-03-15 14:13:05,884 INFO Epochs [4/128] Iter [2560/90000] loss_GTA: 0.7057 loss: 0.1811 Time/Image: 0.4675
2022-03-15 14:13:46,164 INFO Epochs [4/128] Iter [2580/90000] loss_GTA: 0.2086 loss: 0.3268 Time/Image: 0.4657
2022-03-15 14:14:27,195 INFO Epochs [4/128] Iter [2600/90000] loss_GTA: 0.3594 loss: 0.0870 Time/Image: 0.4684
2022-03-15 14:15:08,869 INFO Epochs [4/128] Iter [2620/90000] loss_GTA: 0.2646 loss: 0.1260 Time/Image: 0.4675
2022-03-15 14:15:47,334 INFO Epochs [4/128] Iter [2640/90000] loss_GTA: 2.1738 loss: 0.0824 Time/Image: 0.4649
2022-03-15 14:16:26,953 INFO Epochs [4/128] Iter [2660/90000] loss_GTA: 0.7350 loss: 0.0768 Time/Image: 0.4627
2022-03-15 14:17:08,816 INFO Epochs [4/128] Iter [2680/90000] loss_GTA: 0.5148 loss: 0.1483 Time/Image: 0.4625
2022-03-15 14:17:50,880 INFO Epochs [4/128] Iter [2700/90000] loss_GTA: 0.5473 loss: 0.1334 Time/Image: 0.4659
2022-03-15 14:18:32,550 INFO Epochs [4/128] Iter [2720/90000] loss_GTA: 0.3134 loss: 0.2733 Time/Image: 0.4667
2022-03-15 14:19:13,701 INFO Epochs [4/128] Iter [2740/90000] loss_GTA: 0.2560 loss: 0.1172 Time/Image: 0.4688
2022-03-15 14:19:52,728 INFO Epochs [4/128] Iter [2760/90000] loss_GTA: 0.5181 loss: 0.3020 Time/Image: 0.4650
2022-03-15 14:20:33,551 INFO Epochs [4/128] Iter [2780/90000] loss_GTA: 0.5519 loss: 0.0774 Time/Image: 0.4695
2022-03-15 14:21:16,381 INFO Epochs [4/128] Iter [2800/90000] loss_GTA: 0.7193 loss: 0.1587 Time/Image: 0.4677
2022-03-15 14:21:59,050 INFO Epochs [4/128] Iter [2820/90000] loss_GTA: 0.5291 loss: 0.1948 Time/Image: 0.4663
2022-03-15 14:22:41,950 INFO Epochs [4/128] Iter [2840/90000] loss_GTA: 0.3668 loss: 0.0309 Time/Image: 0.4647
2022-03-15 14:23:22,919 INFO Epochs [4/128] Iter [2860/90000] loss_GTA: 0.2095 loss: 0.1384 Time/Image: 0.4705
2022-03-15 14:24:02,289 INFO Epochs [4/128] Iter [2880/90000] loss_GTA: 1.5060 loss: 0.1377 Time/Image: 0.4643
2022-03-15 14:24:42,458 INFO Epochs [4/128] Iter [2900/90000] loss_GTA: 1.2889 loss: 0.0720 Time/Image: 0.4640
2022-03-15 14:25:25,380 INFO Epochs [4/128] Iter [2920/90000] loss_GTA: 0.2638 loss: 0.0839 Time/Image: 0.4654
2022-03-15 14:26:06,645 INFO Epochs [4/128] Iter [2940/90000] loss_GTA: 0.3759 loss: 0.2133 Time/Image: 0.4636
2022-03-15 14:26:48,065 INFO Epochs [4/128] Iter [2960/90000] loss_GTA: 0.5371 loss: 0.0665 Time/Image: 0.4708
2022-03-15 14:27:30,868 INFO Epochs [5/128] Iter [2980/90000] loss_GTA: 0.1927 loss: 0.5012 Time/Image: 0.4670
2022-03-15 14:28:09,557 INFO Epochs [5/128] Iter [3000/90000] loss_GTA: 0.3653 loss: 0.4052 Time/Image: 0.4682
2022-03-15 14:28:09,558 INFO learning rate is 0.005819816675180187 for ResNet101 net
2022-03-15 14:28:09,559 INFO Successfully set the model eval mode
2022-03-15 14:29:41,708 INFO Overall Acc: : 0.8864790696711896
2022-03-15 14:29:41,708 INFO Mean Acc : : 0.6052594592016083
2022-03-15 14:29:41,708 INFO FreqW Acc : : 0.8130234688932643
2022-03-15 14:29:41,708 INFO Mean IoU : : 0.47589985956054165
2022-03-15 14:29:41,708 INFO 0: 0.9096555891557287
2022-03-15 14:29:41,708 INFO 1: 0.5417075008024028
2022-03-15 14:29:41,708 INFO 2: 0.8144178683568515
2022-03-15 14:29:41,708 INFO 3: 0.2861305620747298
2022-03-15 14:29:41,708 INFO 4: 0.2962179690124381
2022-03-15 14:29:41,708 INFO 5: 0.40574985617984155
2022-03-15 14:29:41,708 INFO 6: 0.37885527622601844
2022-03-15 14:29:41,709 INFO 7: 0.42076570007420006
2022-03-15 14:29:41,709 INFO 8: 0.8542909067310144
2022-03-15 14:29:41,709 INFO 9: 0.42735790927901807
2022-03-15 14:29:41,709 INFO 10: 0.7831134015323262
2022-03-15 14:29:41,709 INFO 11: 0.6372527137891701
2022-03-15 14:29:41,709 INFO 12: 0.1502507755274617
2022-03-15 14:29:41,709 INFO 13: 0.8671220107443196
2022-03-15 14:29:41,709 INFO 14: 0.2571655541861066
2022-03-15 14:29:41,709 INFO 15: 0.285283734691808
2022-03-15 14:29:41,709 INFO 16: 0.15332341258873206
2022-03-15 14:29:41,709 INFO 17: 0.05926943712261418
2022-03-15 14:29:41,709 INFO 18: 0.5141671535755101
2022-03-15 14:29:43,935 INFO Best iou until now is 0.47589985956054165
2022-03-15 14:30:22,303 INFO Epochs [5/128] Iter [3020/90000] loss_GTA: 0.1517 loss: 0.0706 Time/Image: 0.4740
2022-03-15 14:31:00,178 INFO Epochs [5/128] Iter [3040/90000] loss_GTA: 0.2152 loss: 0.0837 Time/Image: 0.4678
2022-03-15 14:31:37,974 INFO Epochs [5/128] Iter [3060/90000] loss_GTA: 0.3684 loss: 0.0900 Time/Image: 0.4662
2022-03-15 14:32:15,643 INFO Epochs [5/128] Iter [3080/90000] loss_GTA: 0.1561 loss: 0.2181 Time/Image: 0.4657
2022-03-15 14:32:53,686 INFO Epochs [5/128] Iter [3100/90000] loss_GTA: 0.5457 loss: 0.0647 Time/Image: 0.4635
2022-03-15 14:33:32,139 INFO Epochs [5/128] Iter [3120/90000] loss_GTA: 0.4008 loss: 0.1029 Time/Image: 0.4705
2022-03-15 14:34:13,350 INFO Epochs [5/128] Iter [3140/90000] loss_GTA: 0.2720 loss: 0.0709 Time/Image: 0.4650
2022-03-15 14:34:53,570 INFO Epochs [5/128] Iter [3160/90000] loss_GTA: 0.3456 loss: 0.0323 Time/Image: 0.4660
2022-03-15 14:35:32,625 INFO Epochs [5/128] Iter [3180/90000] loss_GTA: 0.1510 loss: 0.1790 Time/Image: 0.4633
2022-03-15 14:36:14,770 INFO Epochs [5/128] Iter [3200/90000] loss_GTA: 0.2486 loss: 0.1340 Time/Image: 0.4664
2022-03-15 14:36:57,832 INFO Epochs [5/128] Iter [3220/90000] loss_GTA: 0.4156 loss: 0.0126 Time/Image: 0.4673
2022-03-15 14:37:39,533 INFO Epochs [5/128] Iter [3240/90000] loss_GTA: 0.2046 loss: 0.0660 Time/Image: 0.4690
2022-03-15 14:38:21,333 INFO Epochs [5/128] Iter [3260/90000] loss_GTA: 0.3448 loss: 0.0595 Time/Image: 0.4653
2022-03-15 14:39:05,097 INFO Epochs [5/128] Iter [3280/90000] loss_GTA: 0.3867 loss: 0.0021 Time/Image: 0.4657
2022-03-15 14:39:48,006 INFO Epochs [5/128] Iter [3300/90000] loss_GTA: 0.2933 loss: 0.2602 Time/Image: 0.4643
2022-03-15 14:40:31,071 INFO Epochs [5/128] Iter [3320/90000] loss_GTA: 0.2941 loss: 0.1630 Time/Image: 0.4651
2022-03-15 14:41:15,805 INFO Epochs [5/128] Iter [3340/90000] loss_GTA: 0.5561 loss: 0.4084 Time/Image: 0.4663
2022-03-15 14:41:56,082 INFO Epochs [5/128] Iter [3360/90000] loss_GTA: 0.6497 loss: 0.3706 Time/Image: 0.4624
2022-03-15 14:42:36,663 INFO Epochs [5/128] Iter [3380/90000] loss_GTA: 0.6309 loss: 0.1347 Time/Image: 0.4629
2022-03-15 14:43:18,295 INFO Epochs [5/128] Iter [3400/90000] loss_GTA: 0.1834 loss: 0.0559 Time/Image: 0.4624
2022-03-15 14:43:59,353 INFO Epochs [5/128] Iter [3420/90000] loss_GTA: 0.4814 loss: 0.1620 Time/Image: 0.4669
2022-03-15 14:44:39,886 INFO Epochs [5/128] Iter [3440/90000] loss_GTA: 0.1830 loss: 0.0496 Time/Image: 0.4644
2022-03-15 14:45:20,633 INFO Epochs [5/128] Iter [3460/90000] loss_GTA: 0.2943 loss: 0.2239 Time/Image: 0.4653
2022-03-15 14:45:59,717 INFO Epochs [5/128] Iter [3480/90000] loss_GTA: 0.1992 loss: 0.3899 Time/Image: 0.4631
2022-03-15 14:46:40,586 INFO Epochs [5/128] Iter [3500/90000] loss_GTA: 0.6622 loss: 0.0010 Time/Image: 0.4647
2022-03-15 14:47:21,325 INFO Epochs [5/128] Iter [3520/90000] loss_GTA: 0.2609 loss: 0.2430 Time/Image: 0.4608
2022-03-15 14:48:01,677 INFO Epochs [5/128] Iter [3540/90000] loss_GTA: 0.2391 loss: 0.2612 Time/Image: 0.4682
2022-03-15 14:48:42,716 INFO Epochs [5/128] Iter [3560/90000] loss_GTA: 0.6014 loss: 0.0972 Time/Image: 0.4675
2022-03-15 14:49:25,073 INFO Epochs [5/128] Iter [3580/90000] loss_GTA: 0.3916 loss: 0.0554 Time/Image: 0.4653
2022-03-15 14:50:04,138 INFO Epochs [5/128] Iter [3600/90000] loss_GTA: 0.2105 loss: 0.0423 Time/Image: 0.4644
2022-03-15 14:50:43,963 INFO Epochs [5/128] Iter [3620/90000] loss_GTA: 0.3868 loss: 0.3576 Time/Image: 0.4669
2022-03-15 14:51:24,867 INFO Epochs [5/128] Iter [3640/90000] loss_GTA: 0.1639 loss: 0.1177 Time/Image: 0.4662
2022-03-15 14:52:06,622 INFO Epochs [5/128] Iter [3660/90000] loss_GTA: 0.2175 loss: 0.0788 Time/Image: 0.4667
2022-03-15 14:52:48,108 INFO Epochs [5/128] Iter [3680/90000] loss_GTA: 0.7902 loss: -0.0197 Time/Image: 0.4664
2022-03-15 14:53:30,882 INFO Epochs [5/128] Iter [3700/90000] loss_GTA: 0.3956 loss: 0.0407 Time/Image: 0.4688
2022-03-15 14:54:13,192 INFO Epochs [6/128] Iter [3720/90000] loss_GTA: 0.4819 loss: 0.1913 Time/Image: 0.4690
2022-03-15 14:54:52,386 INFO Epochs [6/128] Iter [3740/90000] loss_GTA: 0.2102 loss: 0.2610 Time/Image: 0.4663
2022-03-15 14:55:33,983 INFO Epochs [6/128] Iter [3760/90000] loss_GTA: 0.4462 loss: 0.2272 Time/Image: 0.4656
2022-03-15 14:56:15,261 INFO Epochs [6/128] Iter [3780/90000] loss_GTA: 0.6168 loss: 0.1177 Time/Image: 0.4637
2022-03-15 14:56:57,168 INFO Epochs [6/128] Iter [3800/90000] loss_GTA: 0.2773 loss: 0.1949 Time/Image: 0.4668
2022-03-15 14:57:38,726 INFO Epochs [6/128] Iter [3820/90000] loss_GTA: 0.4377 loss: 0.0262 Time/Image: 0.4671
2022-03-15 14:58:16,982 INFO Epochs [6/128] Iter [3840/90000] loss_GTA: 0.1653 loss: 0.1491 Time/Image: 0.4681
2022-03-15 14:58:58,293 INFO Epochs [6/128] Iter [3860/90000] loss_GTA: 0.3736 loss: 0.0364 Time/Image: 0.4756
2022-03-15 14:59:39,948 INFO Epochs [6/128] Iter [3880/90000] loss_GTA: 0.4007 loss: 0.3655 Time/Image: 0.4673
2022-03-15 15:00:20,294 INFO Epochs [6/128] Iter [3900/90000] loss_GTA: 0.3423 loss: 0.2731 Time/Image: 0.4683
2022-03-15 15:01:01,999 INFO Epochs [6/128] Iter [3920/90000] loss_GTA: 0.1634 loss: 0.0948 Time/Image: 0.4688
2022-03-15 15:01:44,321 INFO Epochs [6/128] Iter [3940/90000] loss_GTA: 0.2892 loss: 0.2270 Time/Image: 0.4661
2022-03-15 15:02:24,963 INFO Epochs [6/128] Iter [3960/90000] loss_GTA: 0.6552 loss: 0.2840 Time/Image: 0.4685
2022-03-15 15:03:05,178 INFO Epochs [6/128] Iter [3980/90000] loss_GTA: 0.4404 loss: 0.5619 Time/Image: 0.4668
2022-03-15 15:03:46,265 INFO Epochs [6/128] Iter [4000/90000] loss_GTA: 0.2219 loss: 0.1684 Time/Image: 0.4646
2022-03-15 15:03:46,265 INFO learning rate is 0.005759578313396958 for ResNet101 net
2022-03-15 15:03:46,267 INFO Successfully set the model eval mode
2022-03-15 15:05:20,898 INFO Overall Acc: : 0.8950363038972489
2022-03-15 15:05:20,898 INFO Mean Acc : : 0.6071558249146222
2022-03-15 15:05:20,898 INFO FreqW Acc : : 0.8204135261278181
2022-03-15 15:05:20,898 INFO Mean IoU : : 0.4916937170535409
2022-03-15 15:05:20,898 INFO 0: 0.9230980621086315
2022-03-15 15:05:20,898 INFO 1: 0.5812712741199728
2022-03-15 15:05:20,898 INFO 2: 0.8198273962954824
2022-03-15 15:05:20,898 INFO 3: 0.3432006243319167
2022-03-15 15:05:20,898 INFO 4: 0.2757747127936617
2022-03-15 15:05:20,898 INFO 5: 0.3696738840263751
2022-03-15 15:05:20,898 INFO 6: 0.42283931829207777
2022-03-15 15:05:20,898 INFO 7: 0.3744113131143789
2022-03-15 15:05:20,898 INFO 8: 0.8573194537701156
2022-03-15 15:05:20,898 INFO 9: 0.4269119606937806
2022-03-15 15:05:20,898 INFO 10: 0.7428100599892897
2022-03-15 15:05:20,899 INFO 11: 0.6381321097826448
2022-03-15 15:05:20,899 INFO 12: 0.21407366835235186
2022-03-15 15:05:20,899 INFO 13: 0.8659886722473324
2022-03-15 15:05:20,899 INFO 14: 0.26397873171873887
2022-03-15 15:05:20,899 INFO 15: 0.30993234550726056
2022-03-15 15:05:20,899 INFO 16: 0.19458912725178437
2022-03-15 15:05:20,899 INFO 17: 0.20617683392088335
2022-03-15 15:05:20,899 INFO 18: 0.5121710757005975
2022-03-15 15:05:23,266 INFO Best iou until now is 0.4916937170535409
2022-03-15 15:06:01,475 INFO Epochs [6/128] Iter [4020/90000] loss_GTA: 0.2515 loss: 0.3259 Time/Image: 0.4725
2022-03-15 15:06:39,082 INFO Epochs [6/128] Iter [4040/90000] loss_GTA: 0.4635 loss: 0.0775 Time/Image: 0.4646
2022-03-15 15:07:16,865 INFO Epochs [6/128] Iter [4060/90000] loss_GTA: 0.3141 loss: 0.1922 Time/Image: 0.4667
2022-03-15 15:07:54,670 INFO Epochs [6/128] Iter [4080/90000] loss_GTA: 0.1441 loss: 0.1859 Time/Image: 0.4672
2022-03-15 15:08:35,227 INFO Epochs [6/128] Iter [4100/90000] loss_GTA: 0.3204 loss: 0.0659 Time/Image: 0.4666
2022-03-15 15:09:14,501 INFO Epochs [6/128] Iter [4120/90000] loss_GTA: 0.6048 loss: 0.1147 Time/Image: 0.4638
2022-03-15 15:09:54,907 INFO Epochs [6/128] Iter [4140/90000] loss_GTA: 0.1259 loss: 0.1006 Time/Image: 0.4667
2022-03-15 15:10:36,875 INFO Epochs [6/128] Iter [4160/90000] loss_GTA: 0.2670 loss: 0.1243 Time/Image: 0.4672
2022-03-15 15:11:14,501 INFO Epochs [6/128] Iter [4180/90000] loss_GTA: 1.0202 loss: 0.1767 Time/Image: 0.4636
2022-03-15 15:11:54,168 INFO Epochs [6/128] Iter [4200/90000] loss_GTA: 0.0684 loss: 0.0679 Time/Image: 0.4668
2022-03-15 15:12:33,666 INFO Epochs [6/128] Iter [4220/90000] loss_GTA: 0.2439 loss: 0.1167 Time/Image: 0.4631
2022-03-15 15:13:14,902 INFO Epochs [6/128] Iter [4240/90000] loss_GTA: 0.1598 loss: 0.0874 Time/Image: 0.4639
2022-03-15 15:13:55,720 INFO Epochs [6/128] Iter [4260/90000] loss_GTA: 0.3440 loss: 0.0811 Time/Image: 0.4634
2022-03-15 15:14:36,493 INFO Epochs [6/128] Iter [4280/90000] loss_GTA: 0.6960 loss: 0.2612 Time/Image: 0.4650
2022-03-15 15:15:18,228 INFO Epochs [6/128] Iter [4300/90000] loss_GTA: 0.1981 loss: 0.0274 Time/Image: 0.4648
2022-03-15 15:15:58,359 INFO Epochs [6/128] Iter [4320/90000] loss_GTA: 0.2322 loss: 0.2345 Time/Image: 0.4764
2022-03-15 15:16:38,099 INFO Epochs [6/128] Iter [4340/90000] loss_GTA: 0.6001 loss: 0.0498 Time/Image: 0.4627
2022-03-15 15:17:18,188 INFO Epochs [6/128] Iter [4360/90000] loss_GTA: 0.5402 loss: 0.0249 Time/Image: 0.4647
2022-03-15 15:17:57,804 INFO Epochs [6/128] Iter [4380/90000] loss_GTA: 0.2464 loss: 0.4350 Time/Image: 0.4676
2022-03-15 15:18:37,936 INFO Epochs [6/128] Iter [4400/90000] loss_GTA: 0.5582 loss: 0.0841 Time/Image: 0.4652
2022-03-15 15:19:18,264 INFO Epochs [6/128] Iter [4420/90000] loss_GTA: 0.2350 loss: 0.0132 Time/Image: 0.4647
2022-03-15 15:19:57,163 INFO Epochs [6/128] Iter [4440/90000] loss_GTA: 0.3307 loss: -0.0020 Time/Image: 0.4641
2022-03-15 15:20:40,588 INFO Epochs [7/128] Iter [4460/90000] loss_GTA: 1.7875 loss: 0.1630 Time/Image: 0.4714
2022-03-15 15:21:18,604 INFO Epochs [7/128] Iter [4480/90000] loss_GTA: 0.1835 loss: 0.0132 Time/Image: 0.4690
2022-03-15 15:21:59,127 INFO Epochs [7/128] Iter [4500/90000] loss_GTA: 0.2106 loss: 0.0454 Time/Image: 0.4646
2022-03-15 15:22:40,962 INFO Epochs [7/128] Iter [4520/90000] loss_GTA: 0.3225 loss: 0.2413 Time/Image: 0.4665
2022-03-15 15:23:22,913 INFO Epochs [7/128] Iter [4540/90000] loss_GTA: 0.5014 loss: 0.0786 Time/Image: 0.4686
2022-03-15 15:24:02,736 INFO Epochs [7/128] Iter [4560/90000] loss_GTA: 0.2061 loss: 0.1422 Time/Image: 0.4701
2022-03-15 15:24:42,677 INFO Epochs [7/128] Iter [4580/90000] loss_GTA: 0.2691 loss: 0.1376 Time/Image: 0.4663
2022-03-15 15:25:22,647 INFO Epochs [7/128] Iter [4600/90000] loss_GTA: 0.1633 loss: 0.1925 Time/Image: 0.4687
2022-03-15 15:26:04,571 INFO Epochs [7/128] Iter [4620/90000] loss_GTA: 0.3387 loss: 0.0362 Time/Image: 0.4676
2022-03-15 15:26:45,476 INFO Epochs [7/128] Iter [4640/90000] loss_GTA: 0.4552 loss: 0.0532 Time/Image: 0.4713
2022-03-15 15:27:27,810 INFO Epochs [7/128] Iter [4660/90000] loss_GTA: 0.3883 loss: 0.2429 Time/Image: 0.4666
2022-03-15 15:28:09,234 INFO Epochs [7/128] Iter [4680/90000] loss_GTA: 0.2268 loss: 0.2858 Time/Image: 0.4669
2022-03-15 15:28:50,427 INFO Epochs [7/128] Iter [4700/90000] loss_GTA: 0.2673 loss: 0.1204 Time/Image: 0.4681
2022-03-15 15:29:34,068 INFO Epochs [7/128] Iter [4720/90000] loss_GTA: 0.2988 loss: 0.1647 Time/Image: 0.4672
2022-03-15 15:30:16,598 INFO Epochs [7/128] Iter [4740/90000] loss_GTA: 0.2727 loss: -0.0146 Time/Image: 0.4697
2022-03-15 15:30:58,480 INFO Epochs [7/128] Iter [4760/90000] loss_GTA: 0.2288 loss: 0.1474 Time/Image: 0.4655
2022-03-15 15:31:39,252 INFO Epochs [7/128] Iter [4780/90000] loss_GTA: 0.4758 loss: 0.1935 Time/Image: 0.4701
2022-03-15 15:32:20,484 INFO Epochs [7/128] Iter [4800/90000] loss_GTA: 0.1671 loss: 1.1865 Time/Image: 0.4853
2022-03-15 15:33:01,134 INFO Epochs [7/128] Iter [4820/90000] loss_GTA: 0.4158 loss: 0.2865 Time/Image: 0.4706
2022-03-15 15:33:43,700 INFO Epochs [7/128] Iter [4840/90000] loss_GTA: 0.2070 loss: 0.0367 Time/Image: 0.4640
2022-03-15 15:34:25,136 INFO Epochs [7/128] Iter [4860/90000] loss_GTA: 0.1920 loss: 0.0017 Time/Image: 0.4692
2022-03-15 15:35:07,119 INFO Epochs [7/128] Iter [4880/90000] loss_GTA: 0.3048 loss: 0.0489 Time/Image: 0.4676
2022-03-15 15:35:49,963 INFO Epochs [7/128] Iter [4900/90000] loss_GTA: 0.7166 loss: 0.1104 Time/Image: 0.4715
2022-03-15 15:36:29,446 INFO Epochs [7/128] Iter [4920/90000] loss_GTA: 0.1697 loss: 0.1425 Time/Image: 0.4685
2022-03-15 15:37:10,396 INFO Epochs [7/128] Iter [4940/90000] loss_GTA: 0.4983 loss: 0.2868 Time/Image: 0.4680
2022-03-15 15:37:52,634 INFO Epochs [7/128] Iter [4960/90000] loss_GTA: 0.1726 loss: 0.0765 Time/Image: 0.4676
2022-03-15 15:38:34,488 INFO Epochs [7/128] Iter [4980/90000] loss_GTA: 0.2459 loss: 0.2331 Time/Image: 0.4668
2022-03-15 15:39:16,259 INFO Epochs [7/128] Iter [5000/90000] loss_GTA: 0.2776 loss: 0.0025 Time/Image: 0.4730
2022-03-15 15:39:16,259 INFO learning rate is 0.005699269866239147 for ResNet101 net
2022-03-15 15:39:16,261 INFO Successfully set the model eval mode
2022-03-15 15:40:49,628 INFO Overall Acc: : 0.8954225567419285
2022-03-15 15:40:49,629 INFO Mean Acc : : 0.6379682756971591
2022-03-15 15:40:49,629 INFO FreqW Acc : : 0.8224128413849537
2022-03-15 15:40:49,629 INFO Mean IoU : : 0.5125877808168321
2022-03-15 15:40:49,629 INFO 0: 0.9165108300329519
2022-03-15 15:40:49,629 INFO 1: 0.536948651389516
2022-03-15 15:40:49,629 INFO 2: 0.8363112688542146
2022-03-15 15:40:49,629 INFO 3: 0.39226150157547585
2022-03-15 15:40:49,629 INFO 4: 0.29534459102594646
2022-03-15 15:40:49,629 INFO 5: 0.4001278828465133
2022-03-15 15:40:49,629 INFO 6: 0.4450178411458819
2022-03-15 15:40:49,629 INFO 7: 0.4460183064476749
2022-03-15 15:40:49,629 INFO 8: 0.8506672802273065
2022-03-15 15:40:49,629 INFO 9: 0.4121818824711903
2022-03-15 15:40:49,629 INFO 10: 0.8021144232576205
2022-03-15 15:40:49,629 INFO 11: 0.661194102237466
2022-03-15 15:40:49,629 INFO 12: 0.23698084580368406
2022-03-15 15:40:49,629 INFO 13: 0.8680408179574536
2022-03-15 15:40:49,629 INFO 14: 0.31794308128283694
2022-03-15 15:40:49,629 INFO 15: 0.4067648378331
2022-03-15 15:40:49,629 INFO 16: 0.1808960334573599
2022-03-15 15:40:49,629 INFO 17: 0.21551450883208945
2022-03-15 15:40:49,629 INFO 18: 0.5183291488415277
2022-03-15 15:40:51,868 INFO Best iou until now is 0.5125877808168321
2022-03-15 15:41:30,236 INFO Epochs [7/128] Iter [5020/90000] loss_GTA: 0.2905 loss: 0.0075 Time/Image: 0.4742
2022-03-15 15:42:07,961 INFO Epochs [7/128] Iter [5040/90000] loss_GTA: 0.3038 loss: 0.1183 Time/Image: 0.4657
2022-03-15 15:42:46,008 INFO Epochs [7/128] Iter [5060/90000] loss_GTA: 0.1901 loss: 0.0599 Time/Image: 0.4702
2022-03-15 15:43:25,346 INFO Epochs [7/128] Iter [5080/90000] loss_GTA: 0.2635 loss: 0.0620 Time/Image: 0.4648
2022-03-15 15:44:06,942 INFO Epochs [7/128] Iter [5100/90000] loss_GTA: 0.4121 loss: 0.2351 Time/Image: 0.4687
2022-03-15 15:44:46,318 INFO Epochs [7/128] Iter [5120/90000] loss_GTA: 0.8439 loss: 0.0876 Time/Image: 0.4682
2022-03-15 15:45:27,716 INFO Epochs [7/128] Iter [5140/90000] loss_GTA: 0.1593 loss: 0.0491 Time/Image: 0.4683
2022-03-15 15:46:07,517 INFO Epochs [7/128] Iter [5160/90000] loss_GTA: 0.3971 loss: 0.1135 Time/Image: 0.4682
2022-03-15 15:46:48,368 INFO Epochs [7/128] Iter [5180/90000] loss_GTA: 0.7544 loss: 0.1929 Time/Image: 0.4643
2022-03-15 15:47:30,325 INFO Epochs [7/128] Iter [5200/90000] loss_GTA: 0.2236 loss: 0.0229 Time/Image: 0.4596
2022-03-15 15:48:12,337 INFO Epochs [8/128] Iter [5220/90000] loss_GTA: 0.3952 loss: 0.2438 Time/Image: 0.4694
2022-03-15 15:48:55,346 INFO Epochs [8/128] Iter [5240/90000] loss_GTA: 0.2190 loss: 0.3090 Time/Image: 0.4652
2022-03-15 15:49:37,098 INFO Epochs [8/128] Iter [5260/90000] loss_GTA: 0.1961 loss: 0.1618 Time/Image: 0.4639
2022-03-15 15:50:17,428 INFO Epochs [8/128] Iter [5280/90000] loss_GTA: 0.1994 loss: 0.0527 Time/Image: 0.4695
2022-03-15 15:50:58,555 INFO Epochs [8/128] Iter [5300/90000] loss_GTA: 0.4278 loss: 0.1245 Time/Image: 0.4659
2022-03-15 15:51:40,938 INFO Epochs [8/128] Iter [5320/90000] loss_GTA: 0.3253 loss: -0.0108 Time/Image: 0.4649
2022-03-15 15:52:22,735 INFO Epochs [8/128] Iter [5340/90000] loss_GTA: 0.3190 loss: 0.0989 Time/Image: 0.4662
2022-03-15 15:53:05,290 INFO Epochs [8/128] Iter [5360/90000] loss_GTA: 0.1775 loss: 0.0083 Time/Image: 0.4650
2022-03-15 15:53:49,238 INFO Epochs [8/128] Iter [5380/90000] loss_GTA: 0.1849 loss: 0.4036 Time/Image: 0.4661
2022-03-15 15:54:30,753 INFO Epochs [8/128] Iter [5400/90000] loss_GTA: 0.1920 loss: 0.0591 Time/Image: 0.4654
2022-03-15 15:55:12,489 INFO Epochs [8/128] Iter [5420/90000] loss_GTA: 0.1765 loss: -0.0003 Time/Image: 0.4675
2022-03-15 15:55:55,599 INFO Epochs [8/128] Iter [5440/90000] loss_GTA: 0.2686 loss: 0.1592 Time/Image: 0.4669
2022-03-15 15:56:37,338 INFO Epochs [8/128] Iter [5460/90000] loss_GTA: 0.2901 loss: 0.1542 Time/Image: 0.4667
2022-03-15 15:57:18,579 INFO Epochs [8/128] Iter [5480/90000] loss_GTA: 0.2833 loss: 0.0884 Time/Image: 0.4625
2022-03-15 15:58:01,110 INFO Epochs [8/128] Iter [5500/90000] loss_GTA: 0.2143 loss: 0.0631 Time/Image: 0.4652
2022-03-15 15:58:42,138 INFO Epochs [8/128] Iter [5520/90000] loss_GTA: 0.2229 loss: 0.1868 Time/Image: 0.4654
2022-03-15 15:59:23,186 INFO Epochs [8/128] Iter [5540/90000] loss_GTA: 0.3457 loss: 0.0796 Time/Image: 0.4662
2022-03-15 16:00:06,623 INFO Epochs [8/128] Iter [5560/90000] loss_GTA: 0.2456 loss: 0.0261 Time/Image: 0.4670
2022-03-15 16:00:48,678 INFO Epochs [8/128] Iter [5580/90000] loss_GTA: 0.4216 loss: 0.3332 Time/Image: 0.4598
2022-03-15 16:01:30,979 INFO Epochs [8/128] Iter [5600/90000] loss_GTA: 0.0951 loss: 0.0438 Time/Image: 0.4658
2022-03-15 16:02:14,497 INFO Epochs [8/128] Iter [5620/90000] loss_GTA: 0.5704 loss: 0.1916 Time/Image: 0.4649
2022-03-15 16:02:56,208 INFO Epochs [8/128] Iter [5640/90000] loss_GTA: 0.1425 loss: 0.0419 Time/Image: 0.4665
2022-03-15 16:03:37,895 INFO Epochs [8/128] Iter [5660/90000] loss_GTA: 0.2494 loss: 0.1313 Time/Image: 0.4657
2022-03-15 16:04:21,247 INFO Epochs [8/128] Iter [5680/90000] loss_GTA: 0.2398 loss: 0.0565 Time/Image: 0.4685
2022-03-15 16:05:02,687 INFO Epochs [8/128] Iter [5700/90000] loss_GTA: 0.3072 loss: 0.1789 Time/Image: 0.4675
2022-03-15 16:05:45,386 INFO Epochs [8/128] Iter [5720/90000] loss_GTA: 0.3157 loss: 0.1480 Time/Image: 0.4659
2022-03-15 16:06:27,494 INFO Epochs [8/128] Iter [5740/90000] loss_GTA: 0.2941 loss: 0.2955 Time/Image: 0.4713
2022-03-15 16:07:07,983 INFO Epochs [8/128] Iter [5760/90000] loss_GTA: 0.2788 loss: 0.5787 Time/Image: 0.4705
2022-03-15 16:07:48,324 INFO Epochs [8/128] Iter [5780/90000] loss_GTA: 0.3701 loss: 0.0252 Time/Image: 0.4692
2022-03-15 16:08:29,891 INFO Epochs [8/128] Iter [5800/90000] loss_GTA: 0.2307 loss: 0.0244 Time/Image: 0.4683
2022-03-15 16:09:10,615 INFO Epochs [8/128] Iter [5820/90000] loss_GTA: 0.1986 loss: 0.2584 Time/Image: 0.4657
2022-03-15 16:09:51,710 INFO Epochs [8/128] Iter [5840/90000] loss_GTA: 0.8362 loss: -0.0028 Time/Image: 0.4649
2022-03-15 16:10:32,754 INFO Epochs [8/128] Iter [5860/90000] loss_GTA: 0.1469 loss: 0.1675 Time/Image: 0.4801
2022-03-15 16:11:12,940 INFO Epochs [8/128] Iter [5880/90000] loss_GTA: 0.2886 loss: 0.1513 Time/Image: 0.4697
2022-03-15 16:11:51,504 INFO Epochs [8/128] Iter [5900/90000] loss_GTA: 0.2192 loss: 0.0631 Time/Image: 0.4673
2022-03-15 16:12:33,291 INFO Epochs [8/128] Iter [5920/90000] loss_GTA: 0.1944 loss: 0.0387 Time/Image: 0.4670
2022-03-15 16:13:15,929 INFO Epochs [8/128] Iter [5940/90000] loss_GTA: 0.2652 loss: 0.0899 Time/Image: 0.4678
2022-03-15 16:13:58,667 INFO Epochs [9/128] Iter [5960/90000] loss_GTA: 0.2529 loss: 0.0554 Time/Image: 0.4720
2022-03-15 16:14:39,358 INFO Epochs [9/128] Iter [5980/90000] loss_GTA: 0.3753 loss: 0.0757 Time/Image: 0.4711
2022-03-15 16:15:23,205 INFO Epochs [9/128] Iter [6000/90000] loss_GTA: 0.1704 loss: -0.0160 Time/Image: 0.4712
2022-03-15 16:15:23,205 INFO learning rate is 0.005638890426165535 for ResNet101 net
2022-03-15 16:15:23,207 INFO Successfully set the model eval mode
2022-03-15 16:16:59,727 INFO Overall Acc: : 0.900983113111474
2022-03-15 16:16:59,727 INFO Mean Acc : : 0.6147765996475789
2022-03-15 16:16:59,727 INFO FreqW Acc : : 0.8306485296754124
2022-03-15 16:16:59,727 INFO Mean IoU : : 0.5014021744045025
2022-03-15 16:16:59,727 INFO 0: 0.9254945175887054
2022-03-15 16:16:59,727 INFO 1: 0.5828044156684998
2022-03-15 16:16:59,727 INFO 2: 0.8445544625738931
2022-03-15 16:16:59,727 INFO 3: 0.2734760484054755
2022-03-15 16:16:59,727 INFO 4: 0.2867136680223988
2022-03-15 16:16:59,727 INFO 5: 0.393548356286124
2022-03-15 16:16:59,727 INFO 6: 0.4836644820747469
2022-03-15 16:16:59,727 INFO 7: 0.4339876016996022
2022-03-15 16:16:59,727 INFO 8: 0.861173803099198
2022-03-15 16:16:59,727 INFO 9: 0.44057145849379964
2022-03-15 16:16:59,727 INFO 10: 0.822485408489195
2022-03-15 16:16:59,727 INFO 11: 0.6756312647651259
2022-03-15 16:16:59,727 INFO 12: 0.27133334541914905
2022-03-15 16:16:59,727 INFO 13: 0.861210698396511
2022-03-15 16:16:59,727 INFO 14: 0.25850587145439047
2022-03-15 16:16:59,727 INFO 15: 0.19719783155829543
2022-03-15 16:16:59,727 INFO 16: 0.1720143798317189
2022-03-15 16:16:59,727 INFO 17: 0.21600695095822514
2022-03-15 16:16:59,727 INFO 18: 0.5262667489004944
2022-03-15 16:17:00,901 INFO Best iou until now is 0.5125877808168321
2022-03-15 16:17:39,515 INFO Epochs [9/128] Iter [6020/90000] loss_GTA: 0.2704 loss: 0.0053 Time/Image: 0.4772
2022-03-15 16:18:17,758 INFO Epochs [9/128] Iter [6040/90000] loss_GTA: 0.3357 loss: -0.0094 Time/Image: 0.4726
2022-03-15 16:18:56,353 INFO Epochs [9/128] Iter [6060/90000] loss_GTA: 0.3266 loss: 0.1081 Time/Image: 0.4684
2022-03-15 16:19:38,085 INFO Epochs [9/128] Iter [6080/90000] loss_GTA: 0.2257 loss: 0.0609 Time/Image: 0.4696
2022-03-15 16:20:20,273 INFO Epochs [9/128] Iter [6100/90000] loss_GTA: 0.1833 loss: 0.3461 Time/Image: 0.4699
2022-03-15 16:21:02,192 INFO Epochs [9/128] Iter [6120/90000] loss_GTA: 0.2351 loss: 0.0098 Time/Image: 0.4679
2022-03-15 16:21:42,275 INFO Epochs [9/128] Iter [6140/90000] loss_GTA: 0.1716 loss: 0.0294 Time/Image: 0.4677
2022-03-15 16:22:22,445 INFO Epochs [9/128] Iter [6160/90000] loss_GTA: 0.1635 loss: 0.0469 Time/Image: 0.4640
2022-03-15 16:23:03,880 INFO Epochs [9/128] Iter [6180/90000] loss_GTA: 0.3631 loss: 0.0531 Time/Image: 0.4654
2022-03-15 16:23:44,914 INFO Epochs [9/128] Iter [6200/90000] loss_GTA: 0.3380 loss: 0.1846 Time/Image: 0.4669
2022-03-15 16:24:27,450 INFO Epochs [9/128] Iter [6220/90000] loss_GTA: 0.6520 loss: 0.0727 Time/Image: 0.4660
2022-03-15 16:25:07,302 INFO Epochs [9/128] Iter [6240/90000] loss_GTA: 0.0914 loss: 0.0553 Time/Image: 0.4613
2022-03-15 16:26:01,669 INFO Epochs [9/128] Iter [6260/90000] loss_GTA: 0.2360 loss: 0.3124 Time/Image: 0.4606
2022-03-15 16:26:46,035 INFO Epochs [9/128] Iter [6280/90000] loss_GTA: 0.4944 loss: 0.1440 Time/Image: 0.4626
2022-03-15 16:27:28,305 INFO Epochs [9/128] Iter [6300/90000] loss_GTA: 0.2574 loss: 0.2051 Time/Image: 0.4644
2022-03-15 16:28:10,398 INFO Epochs [9/128] Iter [6320/90000] loss_GTA: 0.1573 loss: 0.0098 Time/Image: 0.4614
2022-03-15 16:28:52,709 INFO Epochs [9/128] Iter [6340/90000] loss_GTA: 0.2015 loss: 0.2304 Time/Image: 0.4620
2022-03-15 16:29:33,081 INFO Epochs [9/128] Iter [6360/90000] loss_GTA: 0.1356 loss: 0.3203 Time/Image: 0.4624
2022-03-15 16:30:16,344 INFO Epochs [9/128] Iter [6380/90000] loss_GTA: 0.1726 loss: 0.1454 Time/Image: 0.4597
2022-03-15 16:30:59,972 INFO Epochs [9/128] Iter [6400/90000] loss_GTA: 0.3411 loss: 0.0378 Time/Image: 0.4629
2022-03-15 16:31:42,859 INFO Epochs [9/128] Iter [6420/90000] loss_GTA: 0.4274 loss: 0.0754 Time/Image: 0.4682
2022-03-15 16:32:26,356 INFO Epochs [9/128] Iter [6440/90000] loss_GTA: 0.5242 loss: 0.0671 Time/Image: 0.4639
2022-03-15 16:33:09,514 INFO Epochs [9/128] Iter [6460/90000] loss_GTA: 0.2101 loss: 0.1457 Time/Image: 0.4632
2022-03-15 16:33:53,293 INFO Epochs [9/128] Iter [6480/90000] loss_GTA: 0.1886 loss: 0.0781 Time/Image: 0.4642
2022-03-15 16:34:35,194 INFO Epochs [9/128] Iter [6500/90000] loss_GTA: 0.6184 loss: 0.1109 Time/Image: 0.4615
2022-03-15 16:35:16,919 INFO Epochs [9/128] Iter [6520/90000] loss_GTA: 0.2432 loss: 0.0360 Time/Image: 0.4627
2022-03-15 16:36:00,440 INFO Epochs [9/128] Iter [6540/90000] loss_GTA: 0.5638 loss: 0.0590 Time/Image: 0.4638
2022-03-15 16:36:43,659 INFO Epochs [9/128] Iter [6560/90000] loss_GTA: 0.5083 loss: 0.0089 Time/Image: 0.4724
2022-03-15 16:37:25,319 INFO Epochs [9/128] Iter [6580/90000] loss_GTA: 0.2344 loss: 0.0485 Time/Image: 0.4663
2022-03-15 16:38:06,242 INFO Epochs [9/128] Iter [6600/90000] loss_GTA: 0.5824 loss: 0.0285 Time/Image: 0.4632
2022-03-15 16:38:46,927 INFO Epochs [9/128] Iter [6620/90000] loss_GTA: 0.3495 loss: 0.0526 Time/Image: 0.4709
2022-03-15 16:39:26,665 INFO Epochs [9/128] Iter [6640/90000] loss_GTA: 0.2242 loss: 0.0141 Time/Image: 0.4603
2022-03-15 16:40:07,798 INFO Epochs [9/128] Iter [6660/90000] loss_GTA: 0.2015 loss: 0.0377 Time/Image: 0.4680
2022-03-15 16:40:46,740 INFO Epochs [9/128] Iter [6680/90000] loss_GTA: 0.2934 loss: 0.1197 Time/Image: 0.4637
2022-03-15 16:41:30,397 INFO Epochs [10/128] Iter [6700/90000] loss_GTA: 0.2763 loss: 0.4256 Time/Image: 0.4728
2022-03-15 16:42:08,428 INFO Epochs [10/128] Iter [6720/90000] loss_GTA: 0.7850 loss: 0.0541 Time/Image: 0.4671
2022-03-15 16:42:49,976 INFO Epochs [10/128] Iter [6740/90000] loss_GTA: 0.6977 loss: 0.0054 Time/Image: 0.4686
2022-03-15 16:43:31,291 INFO Epochs [10/128] Iter [6760/90000] loss_GTA: 0.3179 loss: 0.0875 Time/Image: 0.4658
2022-03-15 16:44:12,736 INFO Epochs [10/128] Iter [6780/90000] loss_GTA: 0.3264 loss: 0.0518 Time/Image: 0.4655
2022-03-15 16:44:53,912 INFO Epochs [10/128] Iter [6800/90000] loss_GTA: 0.2211 loss: 0.0067 Time/Image: 0.4634
2022-03-15 16:45:34,315 INFO Epochs [10/128] Iter [6820/90000] loss_GTA: 0.1970 loss: 0.0640 Time/Image: 0.4611
2022-03-15 16:46:12,930 INFO Epochs [10/128] Iter [6840/90000] loss_GTA: 0.5836 loss: 0.0065 Time/Image: 0.4613
2022-03-15 16:46:54,197 INFO Epochs [10/128] Iter [6860/90000] loss_GTA: 0.3158 loss: 0.1415 Time/Image: 0.4630
2022-03-15 16:47:37,983 INFO Epochs [10/128] Iter [6880/90000] loss_GTA: 0.2374 loss: 0.0258 Time/Image: 0.4653
2022-03-15 16:48:20,501 INFO Epochs [10/128] Iter [6900/90000] loss_GTA: 0.3684 loss: 0.0870 Time/Image: 0.4650
2022-03-15 16:49:01,916 INFO Epochs [10/128] Iter [6920/90000] loss_GTA: 0.2793 loss: 0.0064 Time/Image: 0.4653
2022-03-15 16:49:39,966 INFO Epochs [10/128] Iter [6940/90000] loss_GTA: 0.2555 loss: 0.0316 Time/Image: 0.4600
2022-03-15 16:50:18,127 INFO Epochs [10/128] Iter [6960/90000] loss_GTA: 0.5439 loss: 0.0666 Time/Image: 0.4635
2022-03-15 16:50:56,786 INFO Epochs [10/128] Iter [6980/90000] loss_GTA: 0.2686 loss: -0.0124 Time/Image: 0.4661
2022-03-15 16:51:40,545 INFO Epochs [10/128] Iter [7000/90000] loss_GTA: 0.2335 loss: 0.1144 Time/Image: 0.4670
2022-03-15 16:51:40,545 INFO learning rate is 0.00557843906293184 for ResNet101 net
2022-03-15 16:51:40,547 INFO Successfully set the model eval mode
2022-03-15 16:53:14,527 INFO Overall Acc: : 0.9074369382752979
2022-03-15 16:53:14,528 INFO Mean Acc : : 0.638043824679951
2022-03-15 16:53:14,528 INFO FreqW Acc : : 0.8396407778327665
2022-03-15 16:53:14,528 INFO Mean IoU : : 0.5245123086223331
2022-03-15 16:53:14,528 INFO 0: 0.9332477052977964
2022-03-15 16:53:14,528 INFO 1: 0.6020286445601624
2022-03-15 16:53:14,528 INFO 2: 0.850855598049141
2022-03-15 16:53:14,528 INFO 3: 0.3823979004946849
2022-03-15 16:53:14,528 INFO 4: 0.33265158409434414
2022-03-15 16:53:14,528 INFO 5: 0.43487484933922477
2022-03-15 16:53:14,528 INFO 6: 0.4882972357650042
2022-03-15 16:53:14,528 INFO 7: 0.41399184518263016
2022-03-15 16:53:14,528 INFO 8: 0.8669304498642693
2022-03-15 16:53:14,528 INFO 9: 0.4594498259696009
2022-03-15 16:53:14,529 INFO 10: 0.8027606209403669
2022-03-15 16:53:14,529 INFO 11: 0.6602900143175418
2022-03-15 16:53:14,529 INFO 12: 0.17397092143477277
2022-03-15 16:53:14,529 INFO 13: 0.870400941638897
2022-03-15 16:53:14,529 INFO 14: 0.30242124705440837
2022-03-15 16:53:14,529 INFO 15: 0.4954425379145691
2022-03-15 16:53:14,529 INFO 16: 0.1126316279739348
2022-03-15 16:53:14,529 INFO 17: 0.24861186301490762
2022-03-15 16:53:14,529 INFO 18: 0.5344784509180732
2022-03-15 16:53:16,807 INFO Best iou until now is 0.5245123086223331
2022-03-15 16:53:54,983 INFO Epochs [10/128] Iter [7020/90000] loss_GTA: 0.3292 loss: 0.2620 Time/Image: 0.4721
2022-03-15 16:54:32,943 INFO Epochs [10/128] Iter [7040/90000] loss_GTA: 0.7824 loss: 0.0557 Time/Image: 0.4691
2022-03-15 16:55:10,897 INFO Epochs [10/128] Iter [7060/90000] loss_GTA: 0.2726 loss: 0.0034 Time/Image: 0.4690
2022-03-15 16:55:48,868 INFO Epochs [10/128] Iter [7080/90000] loss_GTA: 0.2673 loss: 0.5767 Time/Image: 0.4684
2022-03-15 16:56:27,034 INFO Epochs [10/128] Iter [7100/90000] loss_GTA: 0.2090 loss: 0.2358 Time/Image: 0.4647
2022-03-15 16:57:07,745 INFO Epochs [10/128] Iter [7120/90000] loss_GTA: 0.1019 loss: 0.0494 Time/Image: 0.4663
2022-03-15 16:57:48,967 INFO Epochs [10/128] Iter [7140/90000] loss_GTA: 0.3067 loss: 0.0111 Time/Image: 0.4668
2022-03-15 16:58:27,939 INFO Epochs [10/128] Iter [7160/90000] loss_GTA: 0.2278 loss: 0.1287 Time/Image: 0.4699
2022-03-15 16:59:11,353 INFO Epochs [10/128] Iter [7180/90000] loss_GTA: 0.3075 loss: 0.1054 Time/Image: 0.4614
2022-03-15 16:59:51,014 INFO Epochs [10/128] Iter [7200/90000] loss_GTA: 0.5095 loss: 0.1089 Time/Image: 0.4679
2022-03-15 17:00:32,847 INFO Epochs [10/128] Iter [7220/90000] loss_GTA: 0.5071 loss: 0.0960 Time/Image: 0.4633
2022-03-15 17:01:13,951 INFO Epochs [10/128] Iter [7240/90000] loss_GTA: 0.2086 loss: -0.0115 Time/Image: 0.4696
2022-03-15 17:01:56,189 INFO Epochs [10/128] Iter [7260/90000] loss_GTA: 0.1966 loss: 0.0991 Time/Image: 0.4661
2022-03-15 17:02:37,020 INFO Epochs [10/128] Iter [7280/90000] loss_GTA: 0.1273 loss: 0.1928 Time/Image: 0.4646
2022-03-15 17:03:19,503 INFO Epochs [10/128] Iter [7300/90000] loss_GTA: 0.2056 loss: 0.1935 Time/Image: 0.4649
2022-03-15 17:03:59,506 INFO Epochs [10/128] Iter [7320/90000] loss_GTA: 0.1791 loss: 0.2071 Time/Image: 0.4684
2022-03-15 17:04:41,033 INFO Epochs [10/128] Iter [7340/90000] loss_GTA: 0.2349 loss: 0.0127 Time/Image: 0.4667
2022-03-15 17:05:23,573 INFO Epochs [10/128] Iter [7360/90000] loss_GTA: 0.2885 loss: -0.0076 Time/Image: 0.4646
2022-03-15 17:06:06,366 INFO Epochs [10/128] Iter [7380/90000] loss_GTA: 0.2835 loss: 0.0287 Time/Image: 0.4651
2022-03-15 17:06:47,179 INFO Epochs [10/128] Iter [7400/90000] loss_GTA: 0.7283 loss: 0.1483 Time/Image: 0.4681
2022-03-15 17:07:28,016 INFO Epochs [10/128] Iter [7420/90000] loss_GTA: 0.2414 loss: 0.1148 Time/Image: 0.4629
2022-03-15 17:08:11,041 INFO Epochs [11/128] Iter [7440/90000] loss_GTA: 0.5969 loss: 0.0935 Time/Image: 0.4687
2022-03-15 17:08:52,268 INFO Epochs [11/128] Iter [7460/90000] loss_GTA: 0.3275 loss: 0.0320 Time/Image: 0.4653
2022-03-15 17:09:34,844 INFO Epochs [11/128] Iter [7480/90000] loss_GTA: 0.2126 loss: 0.0988 Time/Image: 0.4673
2022-03-15 17:10:16,852 INFO Epochs [11/128] Iter [7500/90000] loss_GTA: 0.2725 loss: 0.1307 Time/Image: 0.4699
2022-03-15 17:10:57,222 INFO Epochs [11/128] Iter [7520/90000] loss_GTA: 0.2924 loss: 0.0875 Time/Image: 0.4640
2022-03-15 17:11:38,618 INFO Epochs [11/128] Iter [7540/90000] loss_GTA: 0.3114 loss: 0.1602 Time/Image: 0.4698
2022-03-15 17:12:19,570 INFO Epochs [11/128] Iter [7560/90000] loss_GTA: 0.2750 loss: 0.1188 Time/Image: 0.4638
2022-03-15 17:13:01,001 INFO Epochs [11/128] Iter [7580/90000] loss_GTA: 0.2498 loss: 0.0942 Time/Image: 0.4654
2022-03-15 17:13:42,732 INFO Epochs [11/128] Iter [7600/90000] loss_GTA: 0.3820 loss: 0.1695 Time/Image: 0.4649
2022-03-15 17:14:24,251 INFO Epochs [11/128] Iter [7620/90000] loss_GTA: 0.2992 loss: 0.1211 Time/Image: 0.4667
2022-03-15 17:15:05,238 INFO Epochs [11/128] Iter [7640/90000] loss_GTA: 0.1582 loss: 0.0894 Time/Image: 0.4628
2022-03-15 17:15:47,090 INFO Epochs [11/128] Iter [7660/90000] loss_GTA: 0.2289 loss: -0.0084 Time/Image: 0.4637
2022-03-15 17:16:27,649 INFO Epochs [11/128] Iter [7680/90000] loss_GTA: 0.2255 loss: 0.0591 Time/Image: 0.4636
2022-03-15 17:17:07,788 INFO Epochs [11/128] Iter [7700/90000] loss_GTA: 0.2684 loss: 0.0120 Time/Image: 0.4641
2022-03-15 17:17:50,253 INFO Epochs [11/128] Iter [7720/90000] loss_GTA: 0.1906 loss: 0.0402 Time/Image: 0.4673
2022-03-15 17:18:31,781 INFO Epochs [11/128] Iter [7740/90000] loss_GTA: 0.3024 loss: 0.0399 Time/Image: 0.4654
2022-03-15 17:19:11,987 INFO Epochs [11/128] Iter [7760/90000] loss_GTA: 0.1586 loss: 0.0527 Time/Image: 0.4626
2022-03-15 17:19:54,094 INFO Epochs [11/128] Iter [7780/90000] loss_GTA: 0.1466 loss: 0.0285 Time/Image: 0.4630
2022-03-15 17:20:35,053 INFO Epochs [11/128] Iter [7800/90000] loss_GTA: 0.3068 loss: 0.0752 Time/Image: 0.4635
2022-03-15 17:21:15,991 INFO Epochs [11/128] Iter [7820/90000] loss_GTA: 0.1634 loss: 0.2105 Time/Image: 0.4661
2022-03-15 17:21:58,027 INFO Epochs [11/128] Iter [7840/90000] loss_GTA: 0.2756 loss: 0.0833 Time/Image: 0.4633
2022-03-15 17:22:37,867 INFO Epochs [11/128] Iter [7860/90000] loss_GTA: 0.1278 loss: 0.1394 Time/Image: 0.4682
2022-03-15 17:23:17,086 INFO Epochs [11/128] Iter [7880/90000] loss_GTA: 0.3679 loss: 0.0312 Time/Image: 0.4607
2022-03-15 17:23:56,359 INFO Epochs [11/128] Iter [7900/90000] loss_GTA: 0.2771 loss: 0.2583 Time/Image: 0.4606
2022-03-15 17:24:34,575 INFO Epochs [11/128] Iter [7920/90000] loss_GTA: 0.4984 loss: 0.0413 Time/Image: 0.4689
2022-03-15 17:25:14,163 INFO Epochs [11/128] Iter [7940/90000] loss_GTA: 0.3145 loss: 0.3104 Time/Image: 0.4640
2022-03-15 17:25:55,389 INFO Epochs [11/128] Iter [7960/90000] loss_GTA: 0.2759 loss: 0.1765 Time/Image: 0.4605
2022-03-15 17:26:37,491 INFO Epochs [11/128] Iter [7980/90000] loss_GTA: 0.1990 loss: 0.2107 Time/Image: 0.4630
2022-03-15 17:27:17,633 INFO Epochs [11/128] Iter [8000/90000] loss_GTA: 0.1979 loss: 0.2261 Time/Image: 0.4637
2022-03-15 17:27:17,633 INFO learning rate is 0.0055179148227421995 for ResNet101 net
2022-03-15 17:27:17,638 INFO Successfully set the model eval mode
2022-03-15 17:28:51,952 INFO Overall Acc: : 0.902055669457718
2022-03-15 17:28:51,952 INFO Mean Acc : : 0.6264974190716451
2022-03-15 17:28:51,952 INFO FreqW Acc : : 0.8310395079729923
2022-03-15 17:28:51,952 INFO Mean IoU : : 0.5148701405358967
2022-03-15 17:28:51,952 INFO 0: 0.9263875169326643
2022-03-15 17:28:51,952 INFO 1: 0.571536461860698
2022-03-15 17:28:51,952 INFO 2: 0.8431617910752139
2022-03-15 17:28:51,952 INFO 3: 0.3357874238006205
2022-03-15 17:28:51,952 INFO 4: 0.29838042940096976
2022-03-15 17:28:51,952 INFO 5: 0.41210940123220235
2022-03-15 17:28:51,952 INFO 6: 0.4776612403278764
2022-03-15 17:28:51,952 INFO 7: 0.43863443915389394
2022-03-15 17:28:51,952 INFO 8: 0.8656578825483363
2022-03-15 17:28:51,952 INFO 9: 0.4636139107156136
2022-03-15 17:28:51,952 INFO 10: 0.7856747682254998
2022-03-15 17:28:51,952 INFO 11: 0.6387696539000698
2022-03-15 17:28:51,952 INFO 12: 0.186150336376558
2022-03-15 17:28:51,952 INFO 13: 0.8645552660258944
2022-03-15 17:28:51,952 INFO 14: 0.35820216898424184
2022-03-15 17:28:51,952 INFO 15: 0.4635922410618612
2022-03-15 17:28:51,952 INFO 16: 0.17322704092396757
2022-03-15 17:28:51,952 INFO 17: 0.22497023432034008
2022-03-15 17:28:51,953 INFO 18: 0.45446046331551637
2022-03-15 17:28:53,135 INFO Best iou until now is 0.5245123086223331
2022-03-15 17:29:31,444 INFO Epochs [11/128] Iter [8020/90000] loss_GTA: 0.2106 loss: 0.1188 Time/Image: 0.4737
2022-03-15 17:30:09,275 INFO Epochs [11/128] Iter [8040/90000] loss_GTA: 0.2618 loss: 0.0284 Time/Image: 0.4667
2022-03-15 17:30:46,945 INFO Epochs [11/128] Iter [8060/90000] loss_GTA: 0.1438 loss: 0.0325 Time/Image: 0.4655
2022-03-15 17:31:27,372 INFO Epochs [11/128] Iter [8080/90000] loss_GTA: 0.2657 loss: 0.0167 Time/Image: 0.4669
2022-03-15 17:32:09,474 INFO Epochs [11/128] Iter [8100/90000] loss_GTA: 0.2516 loss: 0.0498 Time/Image: 0.4693
2022-03-15 17:32:48,435 INFO Epochs [11/128] Iter [8120/90000] loss_GTA: 0.2293 loss: 0.0211 Time/Image: 0.4659
2022-03-15 17:33:29,667 INFO Epochs [11/128] Iter [8140/90000] loss_GTA: 0.2740 loss: 0.0634 Time/Image: 0.4663
2022-03-15 17:34:09,751 INFO Epochs [11/128] Iter [8160/90000] loss_GTA: 0.3938 loss: 0.0568 Time/Image: 0.4666
2022-03-15 17:34:54,027 INFO Epochs [12/128] Iter [8180/90000] loss_GTA: 0.1106 loss: 0.1402 Time/Image: 0.4708
2022-03-15 17:35:33,055 INFO Epochs [12/128] Iter [8200/90000] loss_GTA: 0.1682 loss: 0.0900 Time/Image: 0.4698
2022-03-15 17:36:13,988 INFO Epochs [12/128] Iter [8220/90000] loss_GTA: 0.1231 loss: 0.0468 Time/Image: 0.4728
2022-03-15 17:36:53,807 INFO Epochs [12/128] Iter [8240/90000] loss_GTA: 0.2236 loss: 0.0854 Time/Image: 0.4701
2022-03-15 17:37:35,204 INFO Epochs [12/128] Iter [8260/90000] loss_GTA: 0.1573 loss: 0.0676 Time/Image: 0.4682
2022-03-15 17:38:14,904 INFO Epochs [12/128] Iter [8280/90000] loss_GTA: 0.2525 loss: 0.0028 Time/Image: 0.4679
2022-03-15 17:38:56,049 INFO Epochs [12/128] Iter [8300/90000] loss_GTA: 0.4161 loss: 0.1937 Time/Image: 0.4712
2022-03-15 17:39:36,828 INFO Epochs [12/128] Iter [8320/90000] loss_GTA: 0.4493 loss: 0.1467 Time/Image: 0.4693
2022-03-15 17:40:18,237 INFO Epochs [12/128] Iter [8340/90000] loss_GTA: 0.4536 loss: 0.1421 Time/Image: 0.4718
2022-03-15 17:40:57,427 INFO Epochs [12/128] Iter [8360/90000] loss_GTA: 0.3514 loss: 0.0537 Time/Image: 0.4687
2022-03-15 17:41:38,598 INFO Epochs [12/128] Iter [8380/90000] loss_GTA: 0.4801 loss: 0.0458 Time/Image: 0.4665
2022-03-15 17:42:18,621 INFO Epochs [12/128] Iter [8400/90000] loss_GTA: 0.3104 loss: 0.0269 Time/Image: 0.4667
2022-03-15 17:42:59,208 INFO Epochs [12/128] Iter [8420/90000] loss_GTA: 0.1560 loss: 0.0506 Time/Image: 0.4654
2022-03-15 17:43:40,781 INFO Epochs [12/128] Iter [8440/90000] loss_GTA: 0.2236 loss: 0.1140 Time/Image: 0.4684
2022-03-15 17:44:22,013 INFO Epochs [12/128] Iter [8460/90000] loss_GTA: 0.3052 loss: 0.1156 Time/Image: 0.4652
2022-03-15 17:45:01,592 INFO Epochs [12/128] Iter [8480/90000] loss_GTA: 0.3619 loss: 0.1485 Time/Image: 0.4665
2022-03-15 17:45:43,452 INFO Epochs [12/128] Iter [8500/90000] loss_GTA: 0.2347 loss: 0.2474 Time/Image: 0.4667
2022-03-15 17:46:23,506 INFO Epochs [12/128] Iter [8520/90000] loss_GTA: 0.2485 loss: 0.1458 Time/Image: 0.4662
2022-03-15 17:47:04,823 INFO Epochs [12/128] Iter [8540/90000] loss_GTA: 0.2498 loss: 0.0027 Time/Image: 0.4667
2022-03-15 17:47:46,337 INFO Epochs [12/128] Iter [8560/90000] loss_GTA: 0.2852 loss: 0.0131 Time/Image: 0.4650
2022-03-15 17:48:28,289 INFO Epochs [12/128] Iter [8580/90000] loss_GTA: 0.2159 loss: 0.1569 Time/Image: 0.4661
2022-03-15 17:49:07,239 INFO Epochs [12/128] Iter [8600/90000] loss_GTA: 0.2129 loss: 0.1088 Time/Image: 0.4693
2022-03-15 17:49:48,905 INFO Epochs [12/128] Iter [8620/90000] loss_GTA: 0.2131 loss: 0.0418 Time/Image: 0.4692
2022-03-15 17:50:29,262 INFO Epochs [12/128] Iter [8640/90000] loss_GTA: 0.3229 loss: 0.1665 Time/Image: 0.4676
2022-03-15 17:51:10,983 INFO Epochs [12/128] Iter [8660/90000] loss_GTA: 0.3574 loss: 0.0698 Time/Image: 0.4644
2022-03-15 17:51:53,761 INFO Epochs [12/128] Iter [8680/90000] loss_GTA: 1.1196 loss: 0.3089 Time/Image: 0.4668
2022-03-15 17:52:35,580 INFO Epochs [12/128] Iter [8700/90000] loss_GTA: 0.1835 loss: 0.1367 Time/Image: 0.4657
2022-03-15 17:53:16,648 INFO Epochs [12/128] Iter [8720/90000] loss_GTA: 0.2704 loss: 0.0839 Time/Image: 0.4642
2022-03-15 17:53:58,742 INFO Epochs [12/128] Iter [8740/90000] loss_GTA: 0.3383 loss: 0.0603 Time/Image: 0.4616
2022-03-15 17:54:40,647 INFO Epochs [12/128] Iter [8760/90000] loss_GTA: 0.2362 loss: 0.0464 Time/Image: 0.4638
2022-03-15 17:55:22,102 INFO Epochs [12/128] Iter [8780/90000] loss_GTA: 0.2299 loss: 0.5230 Time/Image: 0.4611
2022-03-15 17:56:03,584 INFO Epochs [12/128] Iter [8800/90000] loss_GTA: 0.3008 loss: 0.0020 Time/Image: 0.4643
2022-03-15 17:56:44,114 INFO Epochs [12/128] Iter [8820/90000] loss_GTA: 0.1809 loss: 0.0099 Time/Image: 0.4684
2022-03-15 17:57:24,244 INFO Epochs [12/128] Iter [8840/90000] loss_GTA: 0.4136 loss: 0.0647 Time/Image: 0.4652
2022-03-15 17:58:05,837 INFO Epochs [12/128] Iter [8860/90000] loss_GTA: 0.1965 loss: -0.0218 Time/Image: 0.4633
2022-03-15 17:58:46,958 INFO Epochs [12/128] Iter [8880/90000] loss_GTA: 0.2083 loss: -0.0288 Time/Image: 0.4744
2022-03-15 17:59:27,612 INFO Epochs [12/128] Iter [8900/90000] loss_GTA: 0.1213 loss: 0.3290 Time/Image: 0.4623
2022-03-15 18:00:12,001 INFO Epochs [13/128] Iter [8920/90000] loss_GTA: 0.2217 loss: 0.0247 Time/Image: 0.4705
2022-03-15 18:00:49,978 INFO Epochs [13/128] Iter [8940/90000] loss_GTA: 0.1223 loss: -0.0172 Time/Image: 0.4697
2022-03-15 18:01:28,787 INFO Epochs [13/128] Iter [8960/90000] loss_GTA: 0.3301 loss: 0.0064 Time/Image: 0.4661
2022-03-15 18:02:10,065 INFO Epochs [13/128] Iter [8980/90000] loss_GTA: 0.7624 loss: 0.0551 Time/Image: 0.4675
2022-03-15 18:02:49,953 INFO Epochs [13/128] Iter [9000/90000] loss_GTA: 0.2096 loss: 0.1375 Time/Image: 0.4635
2022-03-15 18:02:49,953 INFO learning rate is 0.005457316727358201 for ResNet101 net
2022-03-15 18:02:49,955 INFO Successfully set the model eval mode
2022-03-15 18:04:23,682 INFO Overall Acc: : 0.9036479394255703
2022-03-15 18:04:23,682 INFO Mean Acc : : 0.6694351334094305
2022-03-15 18:04:23,682 INFO FreqW Acc : : 0.8337706518669586
2022-03-15 18:04:23,682 INFO Mean IoU : : 0.5419713986238224
2022-03-15 18:04:23,682 INFO 0: 0.9250633495839381
2022-03-15 18:04:23,682 INFO 1: 0.5703711543314346
2022-03-15 18:04:23,682 INFO 2: 0.8454846852270725
2022-03-15 18:04:23,683 INFO 3: 0.3645470594146699
2022-03-15 18:04:23,683 INFO 4: 0.26473864080704096
2022-03-15 18:04:23,683 INFO 5: 0.4564422955971612
2022-03-15 18:04:23,683 INFO 6: 0.49966141311298096
2022-03-15 18:04:23,683 INFO 7: 0.47378116433238604
2022-03-15 18:04:23,683 INFO 8: 0.8642597257273077
2022-03-15 18:04:23,683 INFO 9: 0.4380269877763488
2022-03-15 18:04:23,683 INFO 10: 0.7781020360112519
2022-03-15 18:04:23,683 INFO 11: 0.6788595031397079
2022-03-15 18:04:23,683 INFO 12: 0.3062001145909711
2022-03-15 18:04:23,683 INFO 13: 0.877246208291963
2022-03-15 18:04:23,683 INFO 14: 0.34079984572588246
2022-03-15 18:04:23,683 INFO 15: 0.5442926850141946
2022-03-15 18:04:23,683 INFO 16: 0.179429967241796
2022-03-15 18:04:23,683 INFO 17: 0.343116581957163
2022-03-15 18:04:23,683 INFO 18: 0.5470331559693514
2022-03-15 18:04:25,126 INFO Best iou until now is 0.5419713986238224
2022-03-15 18:05:03,409 INFO Epochs [13/128] Iter [9020/90000] loss_GTA: 0.1821 loss: 0.0955 Time/Image: 0.4720
2022-03-15 18:05:41,133 INFO Epochs [13/128] Iter [9040/90000] loss_GTA: 0.3475 loss: 0.1016 Time/Image: 0.4661
2022-03-15 18:06:19,135 INFO Epochs [13/128] Iter [9060/90000] loss_GTA: 0.1468 loss: 0.0989 Time/Image: 0.4699
2022-03-15 18:06:56,983 INFO Epochs [13/128] Iter [9080/90000] loss_GTA: 0.2210 loss: 0.0041 Time/Image: 0.4677
2022-03-15 18:07:34,787 INFO Epochs [13/128] Iter [9100/90000] loss_GTA: 0.2969 loss: 0.1382 Time/Image: 0.4661
2022-03-15 18:08:14,919 INFO Epochs [13/128] Iter [9120/90000] loss_GTA: 0.2156 loss: 0.0820 Time/Image: 0.4674
2022-03-15 18:08:56,513 INFO Epochs [13/128] Iter [9140/90000] loss_GTA: 0.1451 loss: 0.0783 Time/Image: 0.4647
2022-03-15 18:09:37,504 INFO Epochs [13/128] Iter [9160/90000] loss_GTA: 0.3456 loss: 0.1103 Time/Image: 0.4620
2022-03-15 18:10:18,116 INFO Epochs [13/128] Iter [9180/90000] loss_GTA: 0.4467 loss: 0.0859 Time/Image: 0.4654
2022-03-15 18:10:57,695 INFO Epochs [13/128] Iter [9200/90000] loss_GTA: 0.4409 loss: 0.1816 Time/Image: 0.4684
2022-03-15 18:11:37,860 INFO Epochs [13/128] Iter [9220/90000] loss_GTA: 0.5142 loss: 0.1090 Time/Image: 0.4667
2022-03-15 18:12:17,806 INFO Epochs [13/128] Iter [9240/90000] loss_GTA: 0.2289 loss: 0.3561 Time/Image: 0.4631
2022-03-15 18:12:59,111 INFO Epochs [13/128] Iter [9260/90000] loss_GTA: 0.4113 loss: 0.0547 Time/Image: 0.4721
2022-03-15 18:13:41,258 INFO Epochs [13/128] Iter [9280/90000] loss_GTA: 0.9062 loss: 0.0119 Time/Image: 0.4682
2022-03-15 18:14:23,203 INFO Epochs [13/128] Iter [9300/90000] loss_GTA: 0.1766 loss: 0.0464 Time/Image: 0.4694
2022-03-15 18:15:03,967 INFO Epochs [13/128] Iter [9320/90000] loss_GTA: 0.1437 loss: 0.1034 Time/Image: 0.4680
2022-03-15 18:15:46,022 INFO Epochs [13/128] Iter [9340/90000] loss_GTA: 0.2200 loss: 0.6674 Time/Image: 0.4645
2022-03-15 18:16:27,459 INFO Epochs [13/128] Iter [9360/90000] loss_GTA: 0.2747 loss: 0.0343 Time/Image: 0.4631
2022-03-15 18:17:08,597 INFO Epochs [13/128] Iter [9380/90000] loss_GTA: 0.3639 loss: 0.0860 Time/Image: 0.4626
2022-03-15 18:17:50,708 INFO Epochs [13/128] Iter [9400/90000] loss_GTA: 0.2390 loss: 0.0054 Time/Image: 0.4666
2022-03-15 18:18:32,153 INFO Epochs [13/128] Iter [9420/90000] loss_GTA: 0.2035 loss: 0.0227 Time/Image: 0.4661
2022-03-15 18:19:14,344 INFO Epochs [13/128] Iter [9440/90000] loss_GTA: 0.2194 loss: 0.0301 Time/Image: 0.4656
2022-03-15 18:19:57,516 INFO Epochs [13/128] Iter [9460/90000] loss_GTA: 0.1435 loss: 0.1721 Time/Image: 0.4604
2022-03-15 18:20:39,601 INFO Epochs [13/128] Iter [9480/90000] loss_GTA: 0.4523 loss: 0.0744 Time/Image: 0.4731
2022-03-15 18:21:21,054 INFO Epochs [13/128] Iter [9500/90000] loss_GTA: 0.3863 loss: 0.0218 Time/Image: 0.4673
2022-03-15 18:22:01,347 INFO Epochs [13/128] Iter [9520/90000] loss_GTA: 0.1336 loss: 0.0501 Time/Image: 0.4663
2022-03-15 18:22:42,064 INFO Epochs [13/128] Iter [9540/90000] loss_GTA: 0.1739 loss: 0.1714 Time/Image: 0.4629
2022-03-15 18:23:22,778 INFO Epochs [13/128] Iter [9560/90000] loss_GTA: 0.3714 loss: 0.0316 Time/Image: 0.4647
2022-03-15 18:24:04,018 INFO Epochs [13/128] Iter [9580/90000] loss_GTA: 0.2619 loss: 0.0295 Time/Image: 0.4683
2022-03-15 18:24:45,713 INFO Epochs [13/128] Iter [9600/90000] loss_GTA: 0.2534 loss: 0.0491 Time/Image: 0.4654
2022-03-15 18:25:25,862 INFO Epochs [13/128] Iter [9620/90000] loss_GTA: 0.1440 loss: 0.0478 Time/Image: 0.4663
2022-03-15 18:26:06,438 INFO Epochs [13/128] Iter [9640/90000] loss_GTA: 0.1838 loss: 0.0503 Time/Image: 0.4642
2022-03-15 18:26:46,940 INFO Epochs [13/128] Iter [9660/90000] loss_GTA: 0.1803 loss: 0.0522 Time/Image: 0.4600
2022-03-15 18:27:29,008 INFO Epochs [14/128] Iter [9680/90000] loss_GTA: 0.1599 loss: 0.0353 Time/Image: 0.4720
2022-03-15 18:28:11,668 INFO Epochs [14/128] Iter [9700/90000] loss_GTA: 0.1873 loss: 0.0534 Time/Image: 0.4632
2022-03-15 18:28:52,926 INFO Epochs [14/128] Iter [9720/90000] loss_GTA: 0.1306 loss: 0.1135 Time/Image: 0.4672
2022-03-15 18:29:34,049 INFO Epochs [14/128] Iter [9740/90000] loss_GTA: 0.1737 loss: 0.0303 Time/Image: 0.4651
2022-03-15 18:30:16,548 INFO Epochs [14/128] Iter [9760/90000] loss_GTA: 0.2382 loss: 0.0559 Time/Image: 0.4631
2022-03-15 18:30:58,494 INFO Epochs [14/128] Iter [9780/90000] loss_GTA: 0.2975 loss: 0.0117 Time/Image: 0.4638
2022-03-15 18:31:39,628 INFO Epochs [14/128] Iter [9800/90000] loss_GTA: 0.2228 loss: 0.3936 Time/Image: 0.4637
2022-03-15 18:32:21,764 INFO Epochs [14/128] Iter [9820/90000] loss_GTA: 0.3751 loss: -0.0238 Time/Image: 0.4615
2022-03-15 18:33:02,505 INFO Epochs [14/128] Iter [9840/90000] loss_GTA: 0.7298 loss: 0.0413 Time/Image: 0.4643
2022-03-15 18:33:43,491 INFO Epochs [14/128] Iter [9860/90000] loss_GTA: 0.1539 loss: 0.1192 Time/Image: 0.4629
2022-03-15 18:34:26,423 INFO Epochs [14/128] Iter [9880/90000] loss_GTA: 0.1743 loss: 0.1257 Time/Image: 0.4650
2022-03-15 18:35:07,006 INFO Epochs [14/128] Iter [9900/90000] loss_GTA: 0.2146 loss: 0.0227 Time/Image: 0.4675
2022-03-15 18:35:46,477 INFO Epochs [14/128] Iter [9920/90000] loss_GTA: 0.0923 loss: 0.0897 Time/Image: 0.4648
2022-03-15 18:36:26,375 INFO Epochs [14/128] Iter [9940/90000] loss_GTA: 0.1890 loss: -0.0011 Time/Image: 0.4646
2022-03-15 18:37:04,667 INFO Epochs [14/128] Iter [9960/90000] loss_GTA: 0.1306 loss: 0.0103 Time/Image: 0.4661
2022-03-15 18:37:49,171 INFO Epochs [14/128] Iter [9980/90000] loss_GTA: 0.3522 loss: 0.0724 Time/Image: 0.4693
2022-03-15 18:38:31,486 INFO Epochs [14/128] Iter [10000/90000] loss_GTA: 0.4313 loss: 0.0160 Time/Image: 0.4653
2022-03-15 18:38:31,486 INFO learning rate is 0.005396643773162781 for ResNet101 net
2022-03-15 18:38:31,488 INFO Successfully set the model eval mode
2022-03-15 18:40:05,625 INFO Overall Acc: : 0.9059255183676018
2022-03-15 18:40:05,626 INFO Mean Acc : : 0.6846834647476173
2022-03-15 18:40:05,626 INFO FreqW Acc : : 0.8382289327929291
2022-03-15 18:40:05,626 INFO Mean IoU : : 0.547987953391354
2022-03-15 18:40:05,626 INFO 0: 0.9301994352417388
2022-03-15 18:40:05,626 INFO 1: 0.5684031960541996
2022-03-15 18:40:05,626 INFO 2: 0.8545500467489121
2022-03-15 18:40:05,626 INFO 3: 0.40936346420177067
2022-03-15 18:40:05,626 INFO 4: 0.31154586317213007
2022-03-15 18:40:05,626 INFO 5: 0.4497704225931249
2022-03-15 18:40:05,626 INFO 6: 0.49773377353675435
2022-03-15 18:40:05,626 INFO 7: 0.5085238084334343
2022-03-15 18:40:05,626 INFO 8: 0.8627576786449768
2022-03-15 18:40:05,626 INFO 9: 0.45084666235460497
2022-03-15 18:40:05,626 INFO 10: 0.8006733043324267
2022-03-15 18:40:05,627 INFO 11: 0.6681436872191772
2022-03-15 18:40:05,627 INFO 12: 0.27750891045401305
2022-03-15 18:40:05,627 INFO 13: 0.8692818203440744
2022-03-15 18:40:05,627 INFO 14: 0.3662820679005388
2022-03-15 18:40:05,627 INFO 15: 0.5532207504412558
2022-03-15 18:40:05,627 INFO 16: 0.24781122781750856
2022-03-15 18:40:05,627 INFO 17: 0.2676001960914591
2022-03-15 18:40:05,627 INFO 18: 0.5175547988536218
2022-03-15 18:40:07,072 INFO Best iou until now is 0.547987953391354
2022-03-15 18:40:45,468 INFO Epochs [14/128] Iter [10020/90000] loss_GTA: 0.0877 loss: 0.0051 Time/Image: 0.4747
2022-03-15 18:41:22,988 INFO Epochs [14/128] Iter [10040/90000] loss_GTA: 0.5071 loss: 0.1761 Time/Image: 0.4631
2022-03-15 18:42:00,740 INFO Epochs [14/128] Iter [10060/90000] loss_GTA: 0.1702 loss: 0.1663 Time/Image: 0.4625
2022-03-15 18:42:42,500 INFO Epochs [14/128] Iter [10080/90000] loss_GTA: 0.3185 loss: 0.2015 Time/Image: 0.4650
2022-03-15 18:43:25,716 INFO Epochs [14/128] Iter [10100/90000] loss_GTA: 0.1573 loss: 0.0423 Time/Image: 0.4642
2022-03-15 18:44:07,662 INFO Epochs [14/128] Iter [10120/90000] loss_GTA: 0.1564 loss: 0.0272 Time/Image: 0.4633
2022-03-15 18:44:50,585 INFO Epochs [14/128] Iter [10140/90000] loss_GTA: 0.2314 loss: 0.0101 Time/Image: 0.4666
2022-03-15 18:45:32,129 INFO Epochs [14/128] Iter [10160/90000] loss_GTA: 0.6650 loss: 0.4088 Time/Image: 0.4656
2022-03-15 18:46:12,943 INFO Epochs [14/128] Iter [10180/90000] loss_GTA: 0.3619 loss: 0.1128 Time/Image: 0.4636
2022-03-15 18:46:53,392 INFO Epochs [14/128] Iter [10200/90000] loss_GTA: 0.2715 loss: 0.0339 Time/Image: 0.4659
2022-03-15 18:47:35,376 INFO Epochs [14/128] Iter [10220/90000] loss_GTA: 0.1513 loss: 0.0225 Time/Image: 0.4640
2022-03-15 18:48:17,058 INFO Epochs [14/128] Iter [10240/90000] loss_GTA: 0.2526 loss: -0.0090 Time/Image: 0.4630
2022-03-15 18:48:59,459 INFO Epochs [14/128] Iter [10260/90000] loss_GTA: 0.2249 loss: 0.0193 Time/Image: 0.4644
2022-03-15 18:49:42,015 INFO Epochs [14/128] Iter [10280/90000] loss_GTA: 0.2665 loss: 0.9584 Time/Image: 0.4639
2022-03-15 18:50:23,500 INFO Epochs [14/128] Iter [10300/90000] loss_GTA: 0.2169 loss: 0.0738 Time/Image: 0.4651
2022-03-15 18:51:05,242 INFO Epochs [14/128] Iter [10320/90000] loss_GTA: 1.1943 loss: 0.1183 Time/Image: 0.4650
2022-03-15 18:51:47,439 INFO Epochs [14/128] Iter [10340/90000] loss_GTA: 0.2316 loss: 0.0572 Time/Image: 0.4666
2022-03-15 18:52:30,395 INFO Epochs [14/128] Iter [10360/90000] loss_GTA: 0.1771 loss: 0.0162 Time/Image: 0.4661
2022-03-15 18:53:13,758 INFO Epochs [14/128] Iter [10380/90000] loss_GTA: 0.3818 loss: 0.0270 Time/Image: 0.4670
2022-03-15 18:53:57,530 INFO Epochs [14/128] Iter [10400/90000] loss_GTA: 0.4147 loss: 0.1094 Time/Image: 0.4671
2022-03-15 18:54:39,529 INFO Epochs [15/128] Iter [10420/90000] loss_GTA: 0.2328 loss: 0.1224 Time/Image: 0.4704
2022-03-15 18:55:20,687 INFO Epochs [15/128] Iter [10440/90000] loss_GTA: 0.5151 loss: 0.0365 Time/Image: 0.4650
2022-03-15 18:56:00,949 INFO Epochs [15/128] Iter [10460/90000] loss_GTA: 0.2671 loss: 0.3475 Time/Image: 0.4657
2022-03-15 18:56:40,017 INFO Epochs [15/128] Iter [10480/90000] loss_GTA: 0.3884 loss: 0.0070 Time/Image: 0.4687
2022-03-15 18:57:18,631 INFO Epochs [15/128] Iter [10500/90000] loss_GTA: 0.2679 loss: 0.1116 Time/Image: 0.4648
2022-03-15 18:57:59,678 INFO Epochs [15/128] Iter [10520/90000] loss_GTA: 0.2238 loss: 0.0538 Time/Image: 0.4720
2022-03-15 18:58:38,063 INFO Epochs [15/128] Iter [10540/90000] loss_GTA: 0.1806 loss: 0.0025 Time/Image: 0.4674
2022-03-15 18:59:18,199 INFO Epochs [15/128] Iter [10560/90000] loss_GTA: 0.1996 loss: 0.0984 Time/Image: 0.4716
2022-03-15 19:00:00,094 INFO Epochs [15/128] Iter [10580/90000] loss_GTA: 0.0692 loss: 0.0023 Time/Image: 0.4624
2022-03-15 19:00:41,802 INFO Epochs [15/128] Iter [10600/90000] loss_GTA: 0.2044 loss: 0.0005 Time/Image: 0.4670
2022-03-15 19:01:22,645 INFO Epochs [15/128] Iter [10620/90000] loss_GTA: 1.3166 loss: 0.1644 Time/Image: 0.4660
2022-03-15 19:02:01,932 INFO Epochs [15/128] Iter [10640/90000] loss_GTA: 0.5243 loss: -0.0085 Time/Image: 0.4688
2022-03-15 19:02:42,145 INFO Epochs [15/128] Iter [10660/90000] loss_GTA: 0.1610 loss: -0.0051 Time/Image: 0.4716
2022-03-15 19:03:22,899 INFO Epochs [15/128] Iter [10680/90000] loss_GTA: 0.3277 loss: 0.1590 Time/Image: 0.4687
2022-03-15 19:04:01,723 INFO Epochs [15/128] Iter [10700/90000] loss_GTA: 0.2347 loss: 0.3521 Time/Image: 0.4682
2022-03-15 19:04:42,548 INFO Epochs [15/128] Iter [10720/90000] loss_GTA: 0.2283 loss: -0.0212 Time/Image: 0.4688
2022-03-15 19:05:23,773 INFO Epochs [15/128] Iter [10740/90000] loss_GTA: 0.0752 loss: 0.0240 Time/Image: 0.4690
2022-03-15 19:06:01,638 INFO Epochs [15/128] Iter [10760/90000] loss_GTA: 0.4038 loss: 0.1455 Time/Image: 0.4685
2022-03-15 19:06:39,665 INFO Epochs [15/128] Iter [10780/90000] loss_GTA: 0.3550 loss: -0.0213 Time/Image: 0.4699
2022-03-15 19:07:19,156 INFO Epochs [15/128] Iter [10800/90000] loss_GTA: 0.3709 loss: 0.1357 Time/Image: 0.4660
2022-03-15 19:07:59,629 INFO Epochs [15/128] Iter [10820/90000] loss_GTA: 0.2121 loss: 0.0940 Time/Image: 0.4682
2022-03-15 19:08:40,894 INFO Epochs [15/128] Iter [10840/90000] loss_GTA: 0.1839 loss: -0.0136 Time/Image: 0.4680
2022-03-15 19:09:21,870 INFO Epochs [15/128] Iter [10860/90000] loss_GTA: 0.3895 loss: 0.0956 Time/Image: 0.4672
2022-03-15 19:09:59,564 INFO Epochs [15/128] Iter [10880/90000] loss_GTA: 0.9527 loss: 0.7349 Time/Image: 0.4653
2022-03-15 19:10:39,167 INFO Epochs [15/128] Iter [10900/90000] loss_GTA: 0.1829 loss: 0.0101 Time/Image: 0.4658
2022-03-15 19:11:20,612 INFO Epochs [15/128] Iter [10920/90000] loss_GTA: 0.1339 loss: 0.1185 Time/Image: 0.4673
2022-03-15 19:12:01,705 INFO Epochs [15/128] Iter [10940/90000] loss_GTA: 0.2580 loss: 0.0166 Time/Image: 0.4640
2022-03-15 19:12:43,578 INFO Epochs [15/128] Iter [10960/90000] loss_GTA: 0.1702 loss: 0.0573 Time/Image: 0.4656
2022-03-15 19:13:26,069 INFO Epochs [15/128] Iter [10980/90000] loss_GTA: 0.2405 loss: 0.0859 Time/Image: 0.4695
2022-03-15 19:14:07,120 INFO Epochs [15/128] Iter [11000/90000] loss_GTA: 0.1267 loss: 0.0662 Time/Image: 0.4653
2022-03-15 19:14:07,120 INFO learning rate is 0.005335894930176113 for ResNet101 net
2022-03-15 19:14:07,122 INFO Successfully set the model eval mode
2022-03-15 19:15:40,291 INFO Overall Acc: : 0.9016289059794519
2022-03-15 19:15:40,292 INFO Mean Acc : : 0.689723386712998
2022-03-15 19:15:40,292 INFO FreqW Acc : : 0.8340086532958072
2022-03-15 19:15:40,292 INFO Mean IoU : : 0.5380116837504024
2022-03-15 19:15:40,292 INFO 0: 0.9289505599379909
2022-03-15 19:15:40,292 INFO 1: 0.5557218462575588
2022-03-15 19:15:40,292 INFO 2: 0.851988588540497
2022-03-15 19:15:40,292 INFO 3: 0.40041369463277093
2022-03-15 19:15:40,292 INFO 4: 0.281715037304646
2022-03-15 19:15:40,292 INFO 5: 0.4448516024253464
2022-03-15 19:15:40,292 INFO 6: 0.5060968595904529
2022-03-15 19:15:40,292 INFO 7: 0.49429183156739254
2022-03-15 19:15:40,292 INFO 8: 0.8575495839502983
2022-03-15 19:15:40,292 INFO 9: 0.4267663647641629
2022-03-15 19:15:40,292 INFO 10: 0.7873105461167427
2022-03-15 19:15:40,292 INFO 11: 0.673585478010304
2022-03-15 19:15:40,292 INFO 12: 0.3249226216575723
2022-03-15 19:15:40,292 INFO 13: 0.8612168059551202
2022-03-15 19:15:40,292 INFO 14: 0.35285053850636305
2022-03-15 19:15:40,292 INFO 15: 0.5341983801657233
2022-03-15 19:15:40,293 INFO 16: 0.12594705208050808
2022-03-15 19:15:40,293 INFO 17: 0.2820065512478493
2022-03-15 19:15:40,293 INFO 18: 0.5318380485463436
2022-03-15 19:15:41,087 INFO Best iou until now is 0.547987953391354
2022-03-15 19:16:19,140 INFO Epochs [15/128] Iter [11020/90000] loss_GTA: 0.2238 loss: 0.4391 Time/Image: 0.4704
2022-03-15 19:16:56,647 INFO Epochs [15/128] Iter [11040/90000] loss_GTA: 0.2062 loss: 0.0061 Time/Image: 0.4631
2022-03-15 19:17:35,538 INFO Epochs [15/128] Iter [11060/90000] loss_GTA: 0.2166 loss: 0.0524 Time/Image: 0.4642
2022-03-15 19:18:18,204 INFO Epochs [15/128] Iter [11080/90000] loss_GTA: 0.1920 loss: 0.0655 Time/Image: 0.4634
2022-03-15 19:19:00,114 INFO Epochs [15/128] Iter [11100/90000] loss_GTA: 0.8219 loss: 0.0126 Time/Image: 0.4646
2022-03-15 19:19:39,788 INFO Epochs [15/128] Iter [11120/90000] loss_GTA: 0.0578 loss: 0.0416 Time/Image: 0.4671
2022-03-15 19:20:22,408 INFO Epochs [15/128] Iter [11140/90000] loss_GTA: 0.2564 loss: 0.0715 Time/Image: 0.4664
2022-03-15 19:21:04,865 INFO Epochs [16/128] Iter [11160/90000] loss_GTA: 0.5159 loss: 0.0611 Time/Image: 0.4684
2022-03-15 19:21:44,511 INFO Epochs [16/128] Iter [11180/90000] loss_GTA: 0.2000 loss: 0.0408 Time/Image: 0.4667
2022-03-15 19:22:26,610 INFO Epochs [16/128] Iter [11200/90000] loss_GTA: 0.1684 loss: 0.0009 Time/Image: 0.4634
2022-03-15 19:23:08,542 INFO Epochs [16/128] Iter [11220/90000] loss_GTA: 0.1364 loss: 0.0655 Time/Image: 0.4634
2022-03-15 19:23:49,343 INFO Epochs [16/128] Iter [11240/90000] loss_GTA: 0.4120 loss: 0.1965 Time/Image: 0.4624
2022-03-15 19:24:29,899 INFO Epochs [16/128] Iter [11260/90000] loss_GTA: 0.1017 loss: -0.0256 Time/Image: 0.4605
2022-03-15 19:25:08,453 INFO Epochs [16/128] Iter [11280/90000] loss_GTA: 0.1088 loss: 0.6067 Time/Image: 0.4617
2022-03-15 19:25:46,879 INFO Epochs [16/128] Iter [11300/90000] loss_GTA: 0.2596 loss: 0.2894 Time/Image: 0.4669
2022-03-15 19:26:24,657 INFO Epochs [16/128] Iter [11320/90000] loss_GTA: 0.2341 loss: 0.1819 Time/Image: 0.4654
2022-03-15 19:27:04,111 INFO Epochs [16/128] Iter [11340/90000] loss_GTA: 0.2020 loss: 0.0333 Time/Image: 0.4646
2022-03-15 19:27:44,959 INFO Epochs [16/128] Iter [11360/90000] loss_GTA: 0.1133 loss: 0.0085 Time/Image: 0.4676
2022-03-15 19:28:24,035 INFO Epochs [16/128] Iter [11380/90000] loss_GTA: 0.3104 loss: 0.0064 Time/Image: 0.4673
2022-03-15 19:29:02,809 INFO Epochs [16/128] Iter [11400/90000] loss_GTA: 0.2592 loss: 0.4062 Time/Image: 0.4677
2022-03-15 19:29:43,633 INFO Epochs [16/128] Iter [11420/90000] loss_GTA: 0.2820 loss: 0.0088 Time/Image: 0.4660
2022-03-15 19:30:23,271 INFO Epochs [16/128] Iter [11440/90000] loss_GTA: 0.1583 loss: 0.0684 Time/Image: 0.4645
2022-03-15 19:31:04,999 INFO Epochs [16/128] Iter [11460/90000] loss_GTA: 0.3304 loss: 0.0190 Time/Image: 0.4703
2022-03-15 19:31:43,107 INFO Epochs [16/128] Iter [11480/90000] loss_GTA: 0.2308 loss: 0.0378 Time/Image: 0.4708
2022-03-15 19:32:23,487 INFO Epochs [16/128] Iter [11500/90000] loss_GTA: 0.5313 loss: 0.3303 Time/Image: 0.4682
2022-03-15 19:33:04,741 INFO Epochs [16/128] Iter [11520/90000] loss_GTA: 0.1848 loss: 0.2025 Time/Image: 0.4682
2022-03-15 19:33:46,380 INFO Epochs [16/128] Iter [11540/90000] loss_GTA: 0.2264 loss: 0.0779 Time/Image: 0.4688
2022-03-15 19:34:28,069 INFO Epochs [16/128] Iter [11560/90000] loss_GTA: 0.1782 loss: 0.1991 Time/Image: 0.4732
2022-03-15 19:35:09,476 INFO Epochs [16/128] Iter [11580/90000] loss_GTA: 0.2275 loss: 0.0288 Time/Image: 0.4725
2022-03-15 19:35:47,145 INFO Epochs [16/128] Iter [11600/90000] loss_GTA: 0.3854 loss: 0.0245 Time/Image: 0.4655
2022-03-15 19:36:25,401 INFO Epochs [16/128] Iter [11620/90000] loss_GTA: 0.1714 loss: 0.0671 Time/Image: 0.4710
2022-03-15 19:37:04,183 INFO Epochs [16/128] Iter [11640/90000] loss_GTA: 0.1825 loss: 0.0850 Time/Image: 0.4698
2022-03-15 19:37:46,698 INFO Epochs [16/128] Iter [11660/90000] loss_GTA: 0.1450 loss: 0.1263 Time/Image: 0.4688
2022-03-15 19:38:28,072 INFO Epochs [16/128] Iter [11680/90000] loss_GTA: 0.3296 loss: 0.0255 Time/Image: 0.4655
2022-03-15 19:39:08,186 INFO Epochs [16/128] Iter [11700/90000] loss_GTA: 0.1992 loss: 0.2138 Time/Image: 0.4658
2022-03-15 19:39:48,087 INFO Epochs [16/128] Iter [11720/90000] loss_GTA: 0.1576 loss: 0.1109 Time/Image: 0.4713
2022-03-15 19:40:26,332 INFO Epochs [16/128] Iter [11740/90000] loss_GTA: 0.1444 loss: 0.0560 Time/Image: 0.4725
2022-03-15 19:41:04,446 INFO Epochs [16/128] Iter [11760/90000] loss_GTA: 0.3608 loss: 0.3483 Time/Image: 0.4661
2022-03-15 19:41:42,664 INFO Epochs [16/128] Iter [11780/90000] loss_GTA: 0.2075 loss: 0.1120 Time/Image: 0.4685
2022-03-15 19:42:23,640 INFO Epochs [16/128] Iter [11800/90000] loss_GTA: 0.2359 loss: 0.0587 Time/Image: 0.4685
2022-03-15 19:43:02,263 INFO Epochs [16/128] Iter [11820/90000] loss_GTA: 0.1724 loss: 0.2326 Time/Image: 0.4663
2022-03-15 19:43:41,297 INFO Epochs [16/128] Iter [11840/90000] loss_GTA: 0.3000 loss: 0.0388 Time/Image: 0.4724
2022-03-15 19:44:23,472 INFO Epochs [16/128] Iter [11860/90000] loss_GTA: 0.2779 loss: 0.1686 Time/Image: 0.4673
2022-03-15 19:45:05,375 INFO Epochs [16/128] Iter [11880/90000] loss_GTA: 0.1677 loss: 0.1113 Time/Image: 0.4692
2022-03-15 19:45:51,103 INFO Epochs [17/128] Iter [11900/90000] loss_GTA: 0.3548 loss: 0.6698 Time/Image: 0.4735
2022-03-15 19:46:31,406 INFO Epochs [17/128] Iter [11920/90000] loss_GTA: 0.4676 loss: -0.0151 Time/Image: 0.4727
2022-03-15 19:47:14,272 INFO Epochs [17/128] Iter [11940/90000] loss_GTA: 0.1399 loss: -0.0041 Time/Image: 0.4686
2022-03-15 19:47:57,919 INFO Epochs [17/128] Iter [11960/90000] loss_GTA: 0.1680 loss: -0.0066 Time/Image: 0.4652
2022-03-15 19:48:40,183 INFO Epochs [17/128] Iter [11980/90000] loss_GTA: 0.3367 loss: 0.0142 Time/Image: 0.4670
2022-03-15 19:49:21,931 INFO Epochs [17/128] Iter [12000/90000] loss_GTA: 0.1712 loss: 0.0093 Time/Image: 0.4669
2022-03-15 19:49:21,932 INFO learning rate is 0.005275069141020384 for ResNet101 net
2022-03-15 19:49:21,934 INFO Successfully set the model eval mode
2022-03-15 19:51:16,483 INFO Overall Acc: : 0.9056846911622084
2022-03-15 19:51:16,483 INFO Mean Acc : : 0.6991031338412212
2022-03-15 19:51:16,483 INFO FreqW Acc : : 0.8403655642018727
2022-03-15 19:51:16,483 INFO Mean IoU : : 0.5387754275795026
2022-03-15 19:51:16,483 INFO 0: 0.9342909837363965
2022-03-15 19:51:16,483 INFO 1: 0.5878002442734033
2022-03-15 19:51:16,483 INFO 2: 0.8616241445442037
2022-03-15 19:51:16,483 INFO 3: 0.4215628827105265
2022-03-15 19:51:16,483 INFO 4: 0.3370411989551689
2022-03-15 19:51:16,484 INFO 5: 0.45290316577537415
2022-03-15 19:51:16,484 INFO 6: 0.5025970253939955
2022-03-15 19:51:16,484 INFO 7: 0.49432897806008375
2022-03-15 19:51:16,484 INFO 8: 0.8609091724607928
2022-03-15 19:51:16,484 INFO 9: 0.4529635338686503
2022-03-15 19:51:16,484 INFO 10: 0.7825920151974679
2022-03-15 19:51:16,484 INFO 11: 0.6695296098635297
2022-03-15 19:51:16,484 INFO 12: 0.27256441961241556
2022-03-15 19:51:16,484 INFO 13: 0.8515629018430777
2022-03-15 19:51:16,484 INFO 14: 0.31803871297606945
2022-03-15 19:51:16,484 INFO 15: 0.5291662998023218
2022-03-15 19:51:16,484 INFO 16: 0.18343262151182846
2022-03-15 19:51:16,484 INFO 17: 0.18198552019048347
2022-03-15 19:51:16,484 INFO 18: 0.5418396932347591
2022-03-15 19:51:17,284 INFO Best iou until now is 0.547987953391354
2022-03-15 19:51:55,375 INFO Epochs [17/128] Iter [12020/90000] loss_GTA: 0.1229 loss: 0.0798 Time/Image: 0.4714
2022-03-15 19:52:33,039 INFO Epochs [17/128] Iter [12040/90000] loss_GTA: 0.2191 loss: -0.0095 Time/Image: 0.4654
2022-03-15 19:53:10,400 INFO Epochs [17/128] Iter [12060/90000] loss_GTA: 0.1624 loss: 0.0424 Time/Image: 0.4620
2022-03-15 19:53:54,400 INFO Epochs [17/128] Iter [12080/90000] loss_GTA: 0.2445 loss: 0.1453 Time/Image: 0.4641
2022-03-15 19:54:35,828 INFO Epochs [17/128] Iter [12100/90000] loss_GTA: 0.1507 loss: 0.0777 Time/Image: 0.4659
2022-03-15 19:55:17,630 INFO Epochs [17/128] Iter [12120/90000] loss_GTA: 0.1283 loss: 0.0449 Time/Image: 0.4635
2022-03-15 19:56:01,140 INFO Epochs [17/128] Iter [12140/90000] loss_GTA: 0.2029 loss: -0.0165 Time/Image: 0.4630
2022-03-15 19:56:42,825 INFO Epochs [17/128] Iter [12160/90000] loss_GTA: 0.1886 loss: 0.0395 Time/Image: 0.4627
2022-03-15 19:57:25,089 INFO Epochs [17/128] Iter [12180/90000] loss_GTA: 0.2829 loss: 0.1973 Time/Image: 0.4665
2022-03-15 19:58:05,239 INFO Epochs [17/128] Iter [12200/90000] loss_GTA: 0.2261 loss: 0.2003 Time/Image: 0.4658
2022-03-15 19:58:42,724 INFO Epochs [17/128] Iter [12220/90000] loss_GTA: 0.4038 loss: 0.0064 Time/Image: 0.4622
2022-03-15 19:59:22,251 INFO Epochs [17/128] Iter [12240/90000] loss_GTA: 0.1370 loss: 0.2426 Time/Image: 0.4682
2022-03-15 20:00:04,873 INFO Epochs [17/128] Iter [12260/90000] loss_GTA: 0.1109 loss: 0.1955 Time/Image: 0.4670
2022-03-15 20:00:46,253 INFO Epochs [17/128] Iter [12280/90000] loss_GTA: 0.2247 loss: 0.1484 Time/Image: 0.4631
2022-03-15 20:01:28,734 INFO Epochs [17/128] Iter [12300/90000] loss_GTA: 0.4813 loss: 0.0450 Time/Image: 0.4610
2022-03-15 20:02:11,240 INFO Epochs [17/128] Iter [12320/90000] loss_GTA: 0.3538 loss: -0.0096 Time/Image: 0.4635
2022-03-15 20:02:52,500 INFO Epochs [17/128] Iter [12340/90000] loss_GTA: 0.1450 loss: 0.2863 Time/Image: 0.4603
2022-03-15 20:03:33,822 INFO Epochs [17/128] Iter [12360/90000] loss_GTA: 0.2698 loss: 0.0045 Time/Image: 0.4636
2022-03-15 20:04:16,636 INFO Epochs [17/128] Iter [12380/90000] loss_GTA: 0.2098 loss: 0.0802 Time/Image: 0.4656
2022-03-15 20:04:58,749 INFO Epochs [17/128] Iter [12400/90000] loss_GTA: 0.0973 loss: 0.0045 Time/Image: 0.4641
2022-03-15 20:05:42,955 INFO Epochs [17/128] Iter [12420/90000] loss_GTA: 0.3478 loss: -0.0273 Time/Image: 0.4903
2022-03-15 20:06:24,757 INFO Epochs [17/128] Iter [12440/90000] loss_GTA: 0.2955 loss: 0.0179 Time/Image: 0.4644
2022-03-15 20:07:05,148 INFO Epochs [17/128] Iter [12460/90000] loss_GTA: 0.1760 loss: 0.1487 Time/Image: 0.4681
2022-03-15 20:07:45,992 INFO Epochs [17/128] Iter [12480/90000] loss_GTA: 0.1587 loss: 0.3154 Time/Image: 0.4595
2022-03-15 20:08:42,433 INFO Epochs [17/128] Iter [12500/90000] loss_GTA: 0.1623 loss: 0.0199 Time/Image: 0.4592
2022-03-15 20:09:26,867 INFO Epochs [17/128] Iter [12520/90000] loss_GTA: 0.2212 loss: 0.3555 Time/Image: 0.4635
2022-03-15 20:10:07,071 INFO Epochs [17/128] Iter [12540/90000] loss_GTA: 0.4441 loss: 0.0443 Time/Image: 0.4680
2022-03-15 20:10:48,071 INFO Epochs [17/128] Iter [12560/90000] loss_GTA: 0.1200 loss: 0.1497 Time/Image: 0.4660
2022-03-15 20:11:29,500 INFO Epochs [17/128] Iter [12580/90000] loss_GTA: 0.2173 loss: 0.1136 Time/Image: 0.4654
2022-03-15 20:12:10,420 INFO Epochs [17/128] Iter [12600/90000] loss_GTA: 0.2977 loss: -0.0254 Time/Image: 0.4674
2022-03-15 20:12:53,486 INFO Epochs [17/128] Iter [12620/90000] loss_GTA: 0.3008 loss: 0.0941 Time/Image: 0.4652
2022-03-15 20:13:37,128 INFO Epochs [18/128] Iter [12640/90000] loss_GTA: 0.2031 loss: 0.1152 Time/Image: 0.4695
2022-03-15 20:14:18,102 INFO Epochs [18/128] Iter [12660/90000] loss_GTA: 0.1792 loss: -0.0227 Time/Image: 0.4645
2022-03-15 20:14:59,263 INFO Epochs [18/128] Iter [12680/90000] loss_GTA: 0.2721 loss: 0.0621 Time/Image: 0.4644
2022-03-15 20:15:42,194 INFO Epochs [18/128] Iter [12700/90000] loss_GTA: 0.2739 loss: 0.0832 Time/Image: 0.4666
2022-03-15 20:16:23,343 INFO Epochs [18/128] Iter [12720/90000] loss_GTA: 0.1890 loss: 0.0386 Time/Image: 0.4653
2022-03-15 20:17:05,859 INFO Epochs [18/128] Iter [12740/90000] loss_GTA: 0.1870 loss: 0.0085 Time/Image: 0.4683
2022-03-15 20:17:47,533 INFO Epochs [18/128] Iter [12760/90000] loss_GTA: 0.3110 loss: 0.0054 Time/Image: 0.4655
2022-03-15 20:18:28,776 INFO Epochs [18/128] Iter [12780/90000] loss_GTA: 0.5010 loss: -0.0138 Time/Image: 0.4676
2022-03-15 20:19:08,621 INFO Epochs [18/128] Iter [12800/90000] loss_GTA: 0.3055 loss: 0.0576 Time/Image: 0.4690
2022-03-15 20:19:51,376 INFO Epochs [18/128] Iter [12820/90000] loss_GTA: 0.1832 loss: 0.0103 Time/Image: 0.4689
2022-03-15 20:20:32,420 INFO Epochs [18/128] Iter [12840/90000] loss_GTA: 0.1429 loss: 0.1105 Time/Image: 0.4665
2022-03-15 20:21:14,427 INFO Epochs [18/128] Iter [12860/90000] loss_GTA: 0.1923 loss: 0.0621 Time/Image: 0.4656
2022-03-15 20:21:55,172 INFO Epochs [18/128] Iter [12880/90000] loss_GTA: 0.2102 loss: 0.0158 Time/Image: 0.4685
2022-03-15 20:22:35,683 INFO Epochs [18/128] Iter [12900/90000] loss_GTA: 0.2642 loss: 0.2495 Time/Image: 0.4648
2022-03-15 20:23:16,487 INFO Epochs [18/128] Iter [12920/90000] loss_GTA: 0.2166 loss: -0.0016 Time/Image: 0.4645
2022-03-15 20:23:57,847 INFO Epochs [18/128] Iter [12940/90000] loss_GTA: 0.1499 loss: -0.0277 Time/Image: 0.4668
2022-03-15 20:24:38,670 INFO Epochs [18/128] Iter [12960/90000] loss_GTA: 0.1743 loss: 0.2987 Time/Image: 0.4639
2022-03-15 20:25:16,762 INFO Epochs [18/128] Iter [12980/90000] loss_GTA: 0.2985 loss: 0.1054 Time/Image: 0.4682
2022-03-15 20:25:55,614 INFO Epochs [18/128] Iter [13000/90000] loss_GTA: 0.2001 loss: 0.1723 Time/Image: 0.4676
2022-03-15 20:25:55,614 INFO learning rate is 0.00521416531983012 for ResNet101 net
2022-03-15 20:25:55,616 INFO Successfully set the model eval mode
2022-03-15 20:27:30,527 INFO Overall Acc: : 0.9035029576159396
2022-03-15 20:27:30,527 INFO Mean Acc : : 0.6771972842168139
2022-03-15 20:27:30,528 INFO FreqW Acc : : 0.8347146034951355
2022-03-15 20:27:30,528 INFO Mean IoU : : 0.5434101480459674
2022-03-15 20:27:30,528 INFO 0: 0.9216577152100149
2022-03-15 20:27:30,528 INFO 1: 0.5590447404292415
2022-03-15 20:27:30,528 INFO 2: 0.8541592583533945
2022-03-15 20:27:30,528 INFO 3: 0.39556814134445883
2022-03-15 20:27:30,528 INFO 4: 0.33489085124139933
2022-03-15 20:27:30,528 INFO 5: 0.4269596893560158
2022-03-15 20:27:30,528 INFO 6: 0.5188654579626392
2022-03-15 20:27:30,528 INFO 7: 0.48118248424762344
2022-03-15 20:27:30,528 INFO 8: 0.8651474034771915
2022-03-15 20:27:30,528 INFO 9: 0.4588945665719519
2022-03-15 20:27:30,528 INFO 10: 0.8045100742577413
2022-03-15 20:27:30,528 INFO 11: 0.6511339721921106
2022-03-15 20:27:30,528 INFO 12: 0.20966646341143103
2022-03-15 20:27:30,528 INFO 13: 0.8758536359339459
2022-03-15 20:27:30,528 INFO 14: 0.3656348839573538
2022-03-15 20:27:30,528 INFO 15: 0.5448750662017059
2022-03-15 20:27:30,528 INFO 16: 0.16363242563633218
2022-03-15 20:27:30,528 INFO 17: 0.36714076366900844
2022-03-15 20:27:30,528 INFO 18: 0.5259752194198227
2022-03-15 20:27:31,324 INFO Best iou until now is 0.547987953391354
2022-03-15 20:28:09,482 INFO Epochs [18/128] Iter [13020/90000] loss_GTA: 0.2489 loss: -0.0122 Time/Image: 0.4716
2022-03-15 20:28:46,671 INFO Epochs [18/128] Iter [13040/90000] loss_GTA: 0.4287 loss: 0.0343 Time/Image: 0.4582
2022-03-15 20:29:23,592 INFO Epochs [18/128] Iter [13060/90000] loss_GTA: 0.2020 loss: 0.0456 Time/Image: 0.4559