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stage3.log
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stage3.log
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2022-03-17 12:08:55,487 INFO GTA5_loader source dataset has been created
2022-03-17 12:08:58,045 INFO Cityscapes_loader target dataset has been created
2022-03-17 12:08:58,701 INFO Cityscapes_loader target_valid dataset has been created
2022-03-17 12:09:10,556 INFO the backbone is deeplabv2
2022-03-17 12:09:10,557 INFO the temperature is 0.08
2022-03-17 12:09:10,557 INFO the epsilon is 0.05
2022-03-17 12:09:10,557 INFO the parameter for self labeling is 0.1
2022-03-17 12:09:10,557 INFO the parameter for weight regularisation is 0
2022-03-17 12:09:10,557 INFO loss weight for proto_consist is 1.0
2022-03-17 12:10:21,855 INFO Epochs [1/128] Iter [20/90000] loss_GTA: 0.0404 loss: -0.0437 Time/Image: 0.8387
2022-03-17 12:11:15,503 INFO Epochs [1/128] Iter [40/90000] loss_GTA: 0.0806 loss: -0.0412 Time/Image: 0.6659
2022-03-17 12:12:09,315 INFO Epochs [1/128] Iter [60/90000] loss_GTA: 0.6628 loss: -0.0303 Time/Image: 0.6680
2022-03-17 12:13:03,102 INFO Epochs [1/128] Iter [80/90000] loss_GTA: 0.0583 loss: -0.0320 Time/Image: 0.6677
2022-03-17 12:13:56,843 INFO Epochs [1/128] Iter [100/90000] loss_GTA: 0.1861 loss: 0.0084 Time/Image: 0.6671
2022-03-17 12:14:50,720 INFO Epochs [1/128] Iter [120/90000] loss_GTA: 0.2060 loss: 0.0266 Time/Image: 0.6688
2022-03-17 12:15:44,465 INFO Epochs [1/128] Iter [140/90000] loss_GTA: 0.1252 loss: -0.0254 Time/Image: 0.6671
2022-03-17 12:16:38,314 INFO Epochs [1/128] Iter [160/90000] loss_GTA: 0.2295 loss: 0.1345 Time/Image: 0.6685
2022-03-17 12:17:32,120 INFO Epochs [1/128] Iter [180/90000] loss_GTA: 0.1869 loss: -0.0140 Time/Image: 0.6680
2022-03-17 12:18:25,962 INFO Epochs [1/128] Iter [200/90000] loss_GTA: 0.2222 loss: 0.0186 Time/Image: 0.6684
2022-03-17 12:19:19,822 INFO Epochs [1/128] Iter [220/90000] loss_GTA: 0.1223 loss: 0.1237 Time/Image: 0.6686
2022-03-17 12:20:13,625 INFO Epochs [1/128] Iter [240/90000] loss_GTA: 0.1033 loss: 0.0161 Time/Image: 0.6679
2022-03-17 12:21:07,410 INFO Epochs [1/128] Iter [260/90000] loss_GTA: 0.3299 loss: 0.0892 Time/Image: 0.6677
2022-03-17 12:22:01,259 INFO Epochs [1/128] Iter [280/90000] loss_GTA: 0.2299 loss: -0.0035 Time/Image: 0.6685
2022-03-17 12:22:55,107 INFO Epochs [1/128] Iter [300/90000] loss_GTA: 0.4047 loss: 0.1799 Time/Image: 0.6685
2022-03-17 12:23:48,875 INFO Epochs [1/128] Iter [320/90000] loss_GTA: 0.1430 loss: -0.0350 Time/Image: 0.6675
2022-03-17 12:24:42,668 INFO Epochs [1/128] Iter [340/90000] loss_GTA: 0.1330 loss: 0.0242 Time/Image: 0.6678
2022-03-17 12:25:36,434 INFO Epochs [1/128] Iter [360/90000] loss_GTA: 0.1673 loss: -0.0048 Time/Image: 0.6674
2022-03-17 12:26:30,167 INFO Epochs [1/128] Iter [380/90000] loss_GTA: 0.0931 loss: 0.0209 Time/Image: 0.6670
2022-03-17 12:27:23,989 INFO Epochs [1/128] Iter [400/90000] loss_GTA: 0.1960 loss: 0.0320 Time/Image: 0.6681
2022-03-17 12:28:17,779 INFO Epochs [1/128] Iter [420/90000] loss_GTA: 0.1053 loss: 0.1146 Time/Image: 0.6676
2022-03-17 12:29:11,595 INFO Epochs [1/128] Iter [440/90000] loss_GTA: 0.1313 loss: -0.0316 Time/Image: 0.6681
2022-03-17 12:30:05,529 INFO Epochs [1/128] Iter [460/90000] loss_GTA: 0.2644 loss: -0.0215 Time/Image: 0.6695
2022-03-17 12:30:59,333 INFO Epochs [1/128] Iter [480/90000] loss_GTA: 0.1342 loss: 0.0287 Time/Image: 0.6679
2022-03-17 12:31:53,068 INFO Epochs [1/128] Iter [500/90000] loss_GTA: 0.1082 loss: -0.0268 Time/Image: 0.6670
2022-03-17 12:32:46,779 INFO Epochs [1/128] Iter [520/90000] loss_GTA: 0.1474 loss: 0.0581 Time/Image: 0.6668
2022-03-17 12:33:40,539 INFO Epochs [1/128] Iter [540/90000] loss_GTA: 0.1349 loss: -0.0043 Time/Image: 0.6673
2022-03-17 12:34:34,300 INFO Epochs [1/128] Iter [560/90000] loss_GTA: 0.1550 loss: -0.0270 Time/Image: 0.6674
2022-03-17 12:35:28,316 INFO Epochs [1/128] Iter [580/90000] loss_GTA: 0.1747 loss: -0.0292 Time/Image: 0.6706
2022-03-17 12:36:22,120 INFO Epochs [1/128] Iter [600/90000] loss_GTA: 0.1628 loss: 0.0901 Time/Image: 0.6679
2022-03-17 12:37:15,959 INFO Epochs [1/128] Iter [620/90000] loss_GTA: 0.1086 loss: -0.0058 Time/Image: 0.6683
2022-03-17 12:38:09,708 INFO Epochs [1/128] Iter [640/90000] loss_GTA: 0.1604 loss: 0.0146 Time/Image: 0.6672
2022-03-17 12:39:03,493 INFO Epochs [1/128] Iter [660/90000] loss_GTA: 0.5625 loss: 0.0875 Time/Image: 0.6677
2022-03-17 12:39:57,393 INFO Epochs [1/128] Iter [680/90000] loss_GTA: 0.1344 loss: -0.0373 Time/Image: 0.6691
2022-03-17 12:40:51,105 INFO Epochs [1/128] Iter [700/90000] loss_GTA: 0.2169 loss: 0.0516 Time/Image: 0.6668
2022-03-17 12:41:44,926 INFO Epochs [1/128] Iter [720/90000] loss_GTA: 0.1226 loss: -0.0103 Time/Image: 0.6681
2022-03-17 12:42:38,683 INFO Epochs [1/128] Iter [740/90000] loss_GTA: 0.0951 loss: 0.0223 Time/Image: 0.6673
2022-03-17 12:43:35,381 INFO Epochs [2/128] Iter [760/90000] loss_GTA: 0.1002 loss: -0.0066 Time/Image: 0.6705
2022-03-17 12:44:29,150 INFO Epochs [2/128] Iter [780/90000] loss_GTA: 0.1558 loss: -0.0042 Time/Image: 0.6675
2022-03-17 12:45:22,960 INFO Epochs [2/128] Iter [800/90000] loss_GTA: 0.2103 loss: 0.1021 Time/Image: 0.6680
2022-03-17 12:46:16,819 INFO Epochs [2/128] Iter [820/90000] loss_GTA: 0.1554 loss: 0.0281 Time/Image: 0.6686
2022-03-17 12:47:10,759 INFO Epochs [2/128] Iter [840/90000] loss_GTA: 0.1252 loss: 0.0183 Time/Image: 0.6695
2022-03-17 12:48:04,705 INFO Epochs [2/128] Iter [860/90000] loss_GTA: 0.2897 loss: -0.0295 Time/Image: 0.6697
2022-03-17 12:48:58,575 INFO Epochs [2/128] Iter [880/90000] loss_GTA: 0.1916 loss: 0.0820 Time/Image: 0.6687
2022-03-17 12:49:52,594 INFO Epochs [2/128] Iter [900/90000] loss_GTA: 0.3739 loss: -0.0053 Time/Image: 0.6706
2022-03-17 12:50:46,509 INFO Epochs [2/128] Iter [920/90000] loss_GTA: 0.1372 loss: -0.0474 Time/Image: 0.6693
2022-03-17 12:51:40,401 INFO Epochs [2/128] Iter [940/90000] loss_GTA: 0.1239 loss: 0.1300 Time/Image: 0.6690
2022-03-17 12:52:34,581 INFO Epochs [2/128] Iter [960/90000] loss_GTA: 0.1270 loss: 0.0990 Time/Image: 0.6726
2022-03-17 12:53:28,886 INFO Epochs [2/128] Iter [980/90000] loss_GTA: 0.2490 loss: -0.0369 Time/Image: 0.6740
2022-03-17 12:54:23,006 INFO Epochs [2/128] Iter [1000/90000] loss_GTA: 0.3307 loss: -0.0339 Time/Image: 0.6718
2022-03-17 12:54:23,006 INFO learning rate is 0.005940086664086076 for ResNet101 net
2022-03-17 12:54:23,008 INFO Successfully set the model eval mode
2022-03-17 12:56:57,681 INFO Overall Acc: : 0.9132139166716409
2022-03-17 12:56:57,681 INFO Mean Acc : : 0.6810714367973546
2022-03-17 12:56:57,681 INFO FreqW Acc : : 0.8476327654362615
2022-03-17 12:56:57,681 INFO Mean IoU : : 0.5593574894603177
2022-03-17 12:56:57,681 INFO 0: 0.9374313782541981
2022-03-17 12:56:57,681 INFO 1: 0.6134939954800852
2022-03-17 12:56:57,681 INFO 2: 0.8562562632491356
2022-03-17 12:56:57,681 INFO 3: 0.3985459107098637
2022-03-17 12:56:57,681 INFO 4: 0.19919067313312108
2022-03-17 12:56:57,682 INFO 5: 0.46436001801422744
2022-03-17 12:56:57,682 INFO 6: 0.5453961380679282
2022-03-17 12:56:57,682 INFO 7: 0.552043345157685
2022-03-17 12:56:57,682 INFO 8: 0.8740419483715879
2022-03-17 12:56:57,682 INFO 9: 0.45390249546712275
2022-03-17 12:56:57,682 INFO 10: 0.8159332520578263
2022-03-17 12:56:57,682 INFO 11: 0.7041478549467801
2022-03-17 12:56:57,682 INFO 12: 0.31889240061784163
2022-03-17 12:56:57,682 INFO 13: 0.8855361414556971
2022-03-17 12:56:57,682 INFO 14: 0.4047831212070886
2022-03-17 12:56:57,682 INFO 15: 0.6017285525852706
2022-03-17 12:56:57,682 INFO 16: 0.13569998673848932
2022-03-17 12:56:57,682 INFO 17: 0.3614955931242195
2022-03-17 12:56:57,682 INFO 18: 0.5049132311078706
2022-03-17 12:56:58,528 INFO Best iou until now is 0.5593574894603177
2022-03-17 12:57:52,800 INFO Epochs [2/128] Iter [1020/90000] loss_GTA: 0.1623 loss: 0.0499 Time/Image: 0.6737
2022-03-17 12:58:46,844 INFO Epochs [2/128] Iter [1040/90000] loss_GTA: 0.1867 loss: -0.0315 Time/Image: 0.6709
2022-03-17 12:59:40,806 INFO Epochs [2/128] Iter [1060/90000] loss_GTA: 0.3840 loss: -0.0370 Time/Image: 0.6698
2022-03-17 13:00:34,694 INFO Epochs [2/128] Iter [1080/90000] loss_GTA: 0.2974 loss: 0.1958 Time/Image: 0.6689
2022-03-17 13:01:28,647 INFO Epochs [2/128] Iter [1100/90000] loss_GTA: 0.0991 loss: 0.0115 Time/Image: 0.6697
2022-03-17 13:02:22,550 INFO Epochs [2/128] Iter [1120/90000] loss_GTA: 0.2307 loss: 0.0840 Time/Image: 0.6691
2022-03-17 13:03:16,381 INFO Epochs [2/128] Iter [1140/90000] loss_GTA: 0.1653 loss: 0.0747 Time/Image: 0.6682
2022-03-17 13:04:10,233 INFO Epochs [2/128] Iter [1160/90000] loss_GTA: 0.1047 loss: 0.1059 Time/Image: 0.6684
2022-03-17 13:05:04,112 INFO Epochs [2/128] Iter [1180/90000] loss_GTA: 0.3211 loss: -0.0030 Time/Image: 0.6688
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2022-03-17 13:07:51,067 INFO Epochs [2/128] Iter [1240/90000] loss_GTA: 0.1774 loss: -0.0081 Time/Image: 0.6685
2022-03-17 13:08:45,469 INFO Epochs [2/128] Iter [1260/90000] loss_GTA: 0.1779 loss: 0.0344 Time/Image: 0.6752
2022-03-17 13:09:40,951 INFO Epochs [2/128] Iter [1280/90000] loss_GTA: 0.1308 loss: -0.0377 Time/Image: 0.6885
2022-03-17 13:10:36,177 INFO Epochs [2/128] Iter [1300/90000] loss_GTA: 0.4310 loss: 0.0042 Time/Image: 0.6854
2022-03-17 13:11:30,244 INFO Epochs [2/128] Iter [1320/90000] loss_GTA: 0.2328 loss: 0.0606 Time/Image: 0.6708
2022-03-17 13:12:24,275 INFO Epochs [2/128] Iter [1340/90000] loss_GTA: 0.1543 loss: 0.0893 Time/Image: 0.6705
2022-03-17 13:13:18,369 INFO Epochs [2/128] Iter [1360/90000] loss_GTA: 0.1837 loss: 0.0840 Time/Image: 0.6714
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2022-03-17 13:17:49,325 INFO Epochs [2/128] Iter [1460/90000] loss_GTA: 0.1295 loss: -0.0220 Time/Image: 0.6724
2022-03-17 13:18:43,529 INFO Epochs [2/128] Iter [1480/90000] loss_GTA: 0.2648 loss: -0.0228 Time/Image: 0.6727
2022-03-17 13:19:40,637 INFO Epochs [3/128] Iter [1500/90000] loss_GTA: 0.1308 loss: -0.0357 Time/Image: 0.6718
2022-03-17 13:20:34,790 INFO Epochs [3/128] Iter [1520/90000] loss_GTA: 0.1657 loss: -0.0176 Time/Image: 0.6719
2022-03-17 13:21:29,102 INFO Epochs [3/128] Iter [1540/90000] loss_GTA: 0.2293 loss: -0.0399 Time/Image: 0.6740
2022-03-17 13:22:23,179 INFO Epochs [3/128] Iter [1560/90000] loss_GTA: 0.1879 loss: 0.0185 Time/Image: 0.6710
2022-03-17 13:23:17,560 INFO Epochs [3/128] Iter [1580/90000] loss_GTA: 0.1406 loss: -0.0363 Time/Image: 0.6750
2022-03-17 13:24:11,586 INFO Epochs [3/128] Iter [1600/90000] loss_GTA: 0.3063 loss: -0.0309 Time/Image: 0.6704
2022-03-17 13:25:05,849 INFO Epochs [3/128] Iter [1620/90000] loss_GTA: 0.1722 loss: -0.0196 Time/Image: 0.6734
2022-03-17 13:26:00,086 INFO Epochs [3/128] Iter [1640/90000] loss_GTA: 0.1500 loss: 0.0299 Time/Image: 0.6730
2022-03-17 13:26:54,239 INFO Epochs [3/128] Iter [1660/90000] loss_GTA: 0.0830 loss: 0.0452 Time/Image: 0.6719
2022-03-17 13:27:48,944 INFO Epochs [3/128] Iter [1680/90000] loss_GTA: 0.1804 loss: 0.0183 Time/Image: 0.6789
2022-03-17 13:28:42,948 INFO Epochs [3/128] Iter [1700/90000] loss_GTA: 0.2331 loss: -0.0331 Time/Image: 0.6702
2022-03-17 13:29:37,005 INFO Epochs [3/128] Iter [1720/90000] loss_GTA: 0.1686 loss: 0.0209 Time/Image: 0.6709
2022-03-17 13:30:31,209 INFO Epochs [3/128] Iter [1740/90000] loss_GTA: 0.2543 loss: -0.0323 Time/Image: 0.6725
2022-03-17 13:31:25,262 INFO Epochs [3/128] Iter [1760/90000] loss_GTA: 0.1918 loss: 0.0048 Time/Image: 0.6707
2022-03-17 13:32:19,534 INFO Epochs [3/128] Iter [1780/90000] loss_GTA: 0.2195 loss: -0.0213 Time/Image: 0.6735
2022-03-17 13:33:13,623 INFO Epochs [3/128] Iter [1800/90000] loss_GTA: 0.1071 loss: 0.0418 Time/Image: 0.6712
2022-03-17 13:34:07,693 INFO Epochs [3/128] Iter [1820/90000] loss_GTA: 0.3090 loss: -0.0261 Time/Image: 0.6709
2022-03-17 13:35:01,876 INFO Epochs [3/128] Iter [1840/90000] loss_GTA: 0.1614 loss: -0.0202 Time/Image: 0.6725
2022-03-17 13:35:56,015 INFO Epochs [3/128] Iter [1860/90000] loss_GTA: 0.1726 loss: -0.0141 Time/Image: 0.6719
2022-03-17 13:36:50,161 INFO Epochs [3/128] Iter [1880/90000] loss_GTA: 0.0903 loss: 0.0581 Time/Image: 0.6720
2022-03-17 13:37:44,310 INFO Epochs [3/128] Iter [1900/90000] loss_GTA: 0.2826 loss: -0.0049 Time/Image: 0.6721
2022-03-17 13:38:38,351 INFO Epochs [3/128] Iter [1920/90000] loss_GTA: 0.1220 loss: 0.0124 Time/Image: 0.6706
2022-03-17 13:39:32,444 INFO Epochs [3/128] Iter [1940/90000] loss_GTA: 0.2356 loss: 0.3203 Time/Image: 0.6714
2022-03-17 13:40:26,638 INFO Epochs [3/128] Iter [1960/90000] loss_GTA: 0.3075 loss: -0.0037 Time/Image: 0.6727
2022-03-17 13:41:20,869 INFO Epochs [3/128] Iter [1980/90000] loss_GTA: 0.1009 loss: -0.0207 Time/Image: 0.6728
2022-03-17 13:42:14,885 INFO Epochs [3/128] Iter [2000/90000] loss_GTA: 0.1335 loss: -0.0327 Time/Image: 0.6702
2022-03-17 13:42:14,886 INFO learning rate is 0.005879985837235534 for ResNet101 net
2022-03-17 13:42:14,887 INFO Successfully set the model eval mode
2022-03-17 13:45:03,877 INFO Overall Acc: : 0.8904247011316258
2022-03-17 13:45:03,879 INFO Mean Acc : : 0.684598494495512
2022-03-17 13:45:03,879 INFO FreqW Acc : : 0.8089010343625537
2022-03-17 13:45:03,879 INFO Mean IoU : : 0.5654737522170629
2022-03-17 13:45:03,879 INFO 0: 0.8741988026177876
2022-03-17 13:45:03,879 INFO 1: 0.5537645987702123
2022-03-17 13:45:03,879 INFO 2: 0.7875791456478485
2022-03-17 13:45:03,879 INFO 3: 0.41236658400009835
2022-03-17 13:45:03,880 INFO 4: 0.32629720310266525
2022-03-17 13:45:03,880 INFO 5: 0.47541475083639007
2022-03-17 13:45:03,880 INFO 6: 0.5626823887861192
2022-03-17 13:45:03,880 INFO 7: 0.5221916067872102
2022-03-17 13:45:03,880 INFO 8: 0.8765499405555672
2022-03-17 13:45:03,880 INFO 9: 0.4846646616661703
2022-03-17 13:45:03,880 INFO 10: 0.8435024281240454
2022-03-17 13:45:03,880 INFO 11: 0.6884309862408872
2022-03-17 13:45:03,880 INFO 12: 0.2694436816958647
2022-03-17 13:45:03,880 INFO 13: 0.8942660604455597
2022-03-17 13:45:03,880 INFO 14: 0.4876606375821373
2022-03-17 13:45:03,880 INFO 15: 0.5714043237890601
2022-03-17 13:45:03,880 INFO 16: 0.10549677435749204
2022-03-17 13:45:03,880 INFO 17: 0.4822652301579505
2022-03-17 13:45:03,880 INFO 18: 0.5258214869611256
2022-03-17 13:45:05,926 INFO Best iou until now is 0.5654737522170629
2022-03-17 13:46:00,217 INFO Epochs [3/128] Iter [2020/90000] loss_GTA: 0.1759 loss: -0.0272 Time/Image: 0.6735
2022-03-17 13:46:54,345 INFO Epochs [3/128] Iter [2040/90000] loss_GTA: 0.5370 loss: -0.0104 Time/Image: 0.6719
2022-03-17 13:47:48,395 INFO Epochs [3/128] Iter [2060/90000] loss_GTA: 0.2412 loss: -0.0296 Time/Image: 0.6708
2022-03-17 13:48:42,557 INFO Epochs [3/128] Iter [2080/90000] loss_GTA: 0.1218 loss: 0.0431 Time/Image: 0.6723
2022-03-17 13:49:36,643 INFO Epochs [3/128] Iter [2100/90000] loss_GTA: 0.1796 loss: 0.0048 Time/Image: 0.6712
2022-03-17 13:50:30,861 INFO Epochs [3/128] Iter [2120/90000] loss_GTA: 0.1676 loss: -0.0227 Time/Image: 0.6728
2022-03-17 13:51:25,112 INFO Epochs [3/128] Iter [2140/90000] loss_GTA: 0.1079 loss: -0.0300 Time/Image: 0.6732
2022-03-17 13:52:19,177 INFO Epochs [3/128] Iter [2160/90000] loss_GTA: 0.2302 loss: -0.0202 Time/Image: 0.6710
2022-03-17 13:53:13,323 INFO Epochs [3/128] Iter [2180/90000] loss_GTA: 0.1619 loss: 0.0394 Time/Image: 0.6720
2022-03-17 13:54:07,782 INFO Epochs [3/128] Iter [2200/90000] loss_GTA: 0.2457 loss: -0.0285 Time/Image: 0.6760
2022-03-17 13:55:01,903 INFO Epochs [3/128] Iter [2220/90000] loss_GTA: 0.1115 loss: -0.0101 Time/Image: 0.6716
2022-03-17 13:55:58,638 INFO Epochs [4/128] Iter [2240/90000] loss_GTA: 0.3690 loss: -0.0374 Time/Image: 0.6712
2022-03-17 13:56:52,732 INFO Epochs [4/128] Iter [2260/90000] loss_GTA: 0.1877 loss: -0.0203 Time/Image: 0.6713
2022-03-17 13:57:46,747 INFO Epochs [4/128] Iter [2280/90000] loss_GTA: 0.1576 loss: -0.0171 Time/Image: 0.6703
2022-03-17 13:58:40,934 INFO Epochs [4/128] Iter [2300/90000] loss_GTA: 0.1378 loss: -0.0009 Time/Image: 0.6724
2022-03-17 13:59:34,889 INFO Epochs [4/128] Iter [2320/90000] loss_GTA: 0.1318 loss: -0.0362 Time/Image: 0.6697
2022-03-17 14:00:28,916 INFO Epochs [4/128] Iter [2340/90000] loss_GTA: 0.1599 loss: -0.0415 Time/Image: 0.6705
2022-03-17 14:01:23,007 INFO Epochs [4/128] Iter [2360/90000] loss_GTA: 0.1532 loss: 0.0222 Time/Image: 0.6713
2022-03-17 14:02:17,117 INFO Epochs [4/128] Iter [2380/90000] loss_GTA: 0.2008 loss: -0.0031 Time/Image: 0.6716
2022-03-17 14:03:11,227 INFO Epochs [4/128] Iter [2400/90000] loss_GTA: 0.0877 loss: -0.0101 Time/Image: 0.6715
2022-03-17 14:04:05,321 INFO Epochs [4/128] Iter [2420/90000] loss_GTA: 0.2443 loss: -0.0271 Time/Image: 0.6713
2022-03-17 14:04:59,502 INFO Epochs [4/128] Iter [2440/90000] loss_GTA: 0.2027 loss: 0.0232 Time/Image: 0.6725
2022-03-17 14:05:53,726 INFO Epochs [4/128] Iter [2460/90000] loss_GTA: 0.1183 loss: 0.0201 Time/Image: 0.6727
2022-03-17 14:06:47,807 INFO Epochs [4/128] Iter [2480/90000] loss_GTA: 0.1242 loss: 0.0236 Time/Image: 0.6710
2022-03-17 14:07:41,995 INFO Epochs [4/128] Iter [2500/90000] loss_GTA: 0.6633 loss: 0.0362 Time/Image: 0.6724
2022-03-17 14:08:36,094 INFO Epochs [4/128] Iter [2520/90000] loss_GTA: 0.1006 loss: 0.0414 Time/Image: 0.6714
2022-03-17 14:09:30,122 INFO Epochs [4/128] Iter [2540/90000] loss_GTA: 0.1202 loss: -0.0289 Time/Image: 0.6704
2022-03-17 14:10:24,239 INFO Epochs [4/128] Iter [2560/90000] loss_GTA: 0.4305 loss: -0.0229 Time/Image: 0.6718
2022-03-17 14:11:18,251 INFO Epochs [4/128] Iter [2580/90000] loss_GTA: 0.1078 loss: 0.0390 Time/Image: 0.6704
2022-03-17 14:12:12,224 INFO Epochs [4/128] Iter [2600/90000] loss_GTA: 0.1786 loss: -0.0149 Time/Image: 0.6698
2022-03-17 14:13:06,323 INFO Epochs [4/128] Iter [2620/90000] loss_GTA: 0.1686 loss: -0.0206 Time/Image: 0.6714
2022-03-17 14:14:00,809 INFO Epochs [4/128] Iter [2640/90000] loss_GTA: 1.3574 loss: -0.0357 Time/Image: 0.6759
2022-03-17 14:14:54,887 INFO Epochs [4/128] Iter [2660/90000] loss_GTA: 0.2872 loss: -0.0395 Time/Image: 0.6710
2022-03-17 14:15:49,011 INFO Epochs [4/128] Iter [2680/90000] loss_GTA: 0.1774 loss: 0.0993 Time/Image: 0.6717
2022-03-17 14:16:42,980 INFO Epochs [4/128] Iter [2700/90000] loss_GTA: 0.1878 loss: -0.0282 Time/Image: 0.6697
2022-03-17 14:17:37,049 INFO Epochs [4/128] Iter [2720/90000] loss_GTA: 0.1641 loss: 0.0918 Time/Image: 0.6710
2022-03-17 14:18:31,134 INFO Epochs [4/128] Iter [2740/90000] loss_GTA: 0.1756 loss: -0.0215 Time/Image: 0.6712
2022-03-17 14:19:25,269 INFO Epochs [4/128] Iter [2760/90000] loss_GTA: 0.1754 loss: 0.0584 Time/Image: 0.6717
2022-03-17 14:20:19,460 INFO Epochs [4/128] Iter [2780/90000] loss_GTA: 0.3223 loss: -0.0320 Time/Image: 0.6724
2022-03-17 14:21:13,561 INFO Epochs [4/128] Iter [2800/90000] loss_GTA: 0.1441 loss: -0.0054 Time/Image: 0.6714
2022-03-17 14:22:07,700 INFO Epochs [4/128] Iter [2820/90000] loss_GTA: 0.3545 loss: 0.0412 Time/Image: 0.6719
2022-03-17 14:23:01,719 INFO Epochs [4/128] Iter [2840/90000] loss_GTA: 0.2044 loss: -0.0409 Time/Image: 0.6702
2022-03-17 14:23:56,012 INFO Epochs [4/128] Iter [2860/90000] loss_GTA: 0.0976 loss: -0.0255 Time/Image: 0.6737
2022-03-17 14:24:50,130 INFO Epochs [4/128] Iter [2880/90000] loss_GTA: 0.6857 loss: -0.0199 Time/Image: 0.6715
2022-03-17 14:25:44,157 INFO Epochs [4/128] Iter [2900/90000] loss_GTA: 0.2377 loss: -0.0276 Time/Image: 0.6705
2022-03-17 14:26:38,328 INFO Epochs [4/128] Iter [2920/90000] loss_GTA: 0.1035 loss: 0.0148 Time/Image: 0.6722
2022-03-17 14:27:32,333 INFO Epochs [4/128] Iter [2940/90000] loss_GTA: 0.1969 loss: -0.0170 Time/Image: 0.6701
2022-03-17 14:28:26,543 INFO Epochs [4/128] Iter [2960/90000] loss_GTA: 0.3309 loss: -0.0175 Time/Image: 0.6727
2022-03-17 14:29:23,774 INFO Epochs [5/128] Iter [2980/90000] loss_GTA: 0.1024 loss: 0.0460 Time/Image: 0.6725
2022-03-17 14:30:17,728 INFO Epochs [5/128] Iter [3000/90000] loss_GTA: 0.1986 loss: 0.0548 Time/Image: 0.6695
2022-03-17 14:30:17,731 INFO learning rate is 0.005819816675180187 for ResNet101 net
2022-03-17 14:30:17,736 INFO Successfully set the model eval mode
2022-03-17 14:33:03,665 INFO Overall Acc: : 0.9084550616950537
2022-03-17 14:33:03,668 INFO Mean Acc : : 0.696177867762113
2022-03-17 14:33:03,668 INFO FreqW Acc : : 0.8403818811256576
2022-03-17 14:33:03,668 INFO Mean IoU : : 0.5756655567440974
2022-03-17 14:33:03,668 INFO 0: 0.9234415431493753
2022-03-17 14:33:03,668 INFO 1: 0.6185296206434802
2022-03-17 14:33:03,668 INFO 2: 0.8327399940798718
2022-03-17 14:33:03,668 INFO 3: 0.42592899086372016
2022-03-17 14:33:03,668 INFO 4: 0.35482741222827935
2022-03-17 14:33:03,668 INFO 5: 0.47810290066751954
2022-03-17 14:33:03,668 INFO 6: 0.5636596723617899
2022-03-17 14:33:03,668 INFO 7: 0.5397831829104573
2022-03-17 14:33:03,668 INFO 8: 0.87622182762659
2022-03-17 14:33:03,668 INFO 9: 0.4586710603104239
2022-03-17 14:33:03,668 INFO 10: 0.8207303956695134
2022-03-17 14:33:03,668 INFO 11: 0.7048523801604529
2022-03-17 14:33:03,668 INFO 12: 0.31385659499176005
2022-03-17 14:33:03,668 INFO 13: 0.8916667515035251
2022-03-17 14:33:03,668 INFO 14: 0.4248233185177909
2022-03-17 14:33:03,668 INFO 15: 0.6398728475341204
2022-03-17 14:33:03,668 INFO 16: 0.09886331867391053
2022-03-17 14:33:03,668 INFO 17: 0.46018575324162114
2022-03-17 14:33:03,668 INFO 18: 0.5108880130036477
2022-03-17 14:33:05,783 INFO Best iou until now is 0.5756655567440974
2022-03-17 14:34:00,280 INFO Epochs [5/128] Iter [3020/90000] loss_GTA: 0.0843 loss: -0.0393 Time/Image: 0.6762
2022-03-17 14:34:54,284 INFO Epochs [5/128] Iter [3040/90000] loss_GTA: 0.1699 loss: -0.0233 Time/Image: 0.6701
2022-03-17 14:35:48,381 INFO Epochs [5/128] Iter [3060/90000] loss_GTA: 0.2076 loss: -0.0138 Time/Image: 0.6711
2022-03-17 14:36:42,396 INFO Epochs [5/128] Iter [3080/90000] loss_GTA: 0.0735 loss: 0.0532 Time/Image: 0.6704
2022-03-17 14:37:36,578 INFO Epochs [5/128] Iter [3100/90000] loss_GTA: 0.2744 loss: -0.0270 Time/Image: 0.6725
2022-03-17 14:38:30,598 INFO Epochs [5/128] Iter [3120/90000] loss_GTA: 0.1542 loss: -0.0106 Time/Image: 0.6704
2022-03-17 14:39:24,658 INFO Epochs [5/128] Iter [3140/90000] loss_GTA: 0.1918 loss: -0.0232 Time/Image: 0.6709
2022-03-17 14:40:18,918 INFO Epochs [5/128] Iter [3160/90000] loss_GTA: 0.2212 loss: -0.0410 Time/Image: 0.6735
2022-03-17 14:41:12,925 INFO Epochs [5/128] Iter [3180/90000] loss_GTA: 0.0657 loss: -0.0346 Time/Image: 0.6702
2022-03-17 14:42:07,032 INFO Epochs [5/128] Iter [3200/90000] loss_GTA: 0.1137 loss: 0.0120 Time/Image: 0.6715
2022-03-17 14:43:01,159 INFO Epochs [5/128] Iter [3220/90000] loss_GTA: 0.1175 loss: -0.0331 Time/Image: 0.6718
2022-03-17 14:43:55,255 INFO Epochs [5/128] Iter [3240/90000] loss_GTA: 0.1104 loss: -0.0119 Time/Image: 0.6714
2022-03-17 14:44:49,412 INFO Epochs [5/128] Iter [3260/90000] loss_GTA: 0.2212 loss: -0.0214 Time/Image: 0.6721
2022-03-17 14:45:43,475 INFO Epochs [5/128] Iter [3280/90000] loss_GTA: 0.2421 loss: -0.0402 Time/Image: 0.6709
2022-03-17 14:46:37,580 INFO Epochs [5/128] Iter [3300/90000] loss_GTA: 0.1727 loss: -0.0274 Time/Image: 0.6712
2022-03-17 14:47:31,595 INFO Epochs [5/128] Iter [3320/90000] loss_GTA: 0.1537 loss: -0.0042 Time/Image: 0.6704
2022-03-17 14:48:25,674 INFO Epochs [5/128] Iter [3340/90000] loss_GTA: 0.2228 loss: 0.1243 Time/Image: 0.6710
2022-03-17 14:49:19,983 INFO Epochs [5/128] Iter [3360/90000] loss_GTA: 0.2725 loss: 0.0186 Time/Image: 0.6740
2022-03-17 14:50:14,068 INFO Epochs [5/128] Iter [3380/90000] loss_GTA: 0.2331 loss: -0.0109 Time/Image: 0.6712
2022-03-17 14:51:08,355 INFO Epochs [5/128] Iter [3400/90000] loss_GTA: 0.0778 loss: -0.0447 Time/Image: 0.6738
2022-03-17 14:52:02,426 INFO Epochs [5/128] Iter [3420/90000] loss_GTA: 0.1967 loss: 0.0112 Time/Image: 0.6709
2022-03-17 14:52:56,633 INFO Epochs [5/128] Iter [3440/90000] loss_GTA: 0.0974 loss: -0.0383 Time/Image: 0.6728
2022-03-17 14:53:50,925 INFO Epochs [5/128] Iter [3460/90000] loss_GTA: 0.1480 loss: -0.0117 Time/Image: 0.6737
2022-03-17 14:54:45,062 INFO Epochs [5/128] Iter [3480/90000] loss_GTA: 0.1344 loss: 0.0376 Time/Image: 0.6715
2022-03-17 14:55:39,140 INFO Epochs [5/128] Iter [3500/90000] loss_GTA: 0.3492 loss: -0.0386 Time/Image: 0.6711
2022-03-17 14:56:33,216 INFO Epochs [5/128] Iter [3520/90000] loss_GTA: 0.1613 loss: 0.0134 Time/Image: 0.6711
2022-03-17 14:57:27,311 INFO Epochs [5/128] Iter [3540/90000] loss_GTA: 0.1142 loss: 0.0143 Time/Image: 0.6713
2022-03-17 14:58:21,484 INFO Epochs [5/128] Iter [3560/90000] loss_GTA: 0.2762 loss: -0.0257 Time/Image: 0.6723
2022-03-17 14:59:15,685 INFO Epochs [5/128] Iter [3580/90000] loss_GTA: 0.2495 loss: -0.0262 Time/Image: 0.6727
2022-03-17 15:00:09,838 INFO Epochs [5/128] Iter [3600/90000] loss_GTA: 0.1087 loss: 0.0085 Time/Image: 0.6720
2022-03-17 15:01:04,012 INFO Epochs [5/128] Iter [3620/90000] loss_GTA: 0.2348 loss: 0.1007 Time/Image: 0.6722
2022-03-17 15:01:58,199 INFO Epochs [5/128] Iter [3640/90000] loss_GTA: 0.1135 loss: -0.0221 Time/Image: 0.6724
2022-03-17 15:02:52,350 INFO Epochs [5/128] Iter [3660/90000] loss_GTA: 0.0992 loss: -0.0219 Time/Image: 0.6721
2022-03-17 15:03:46,356 INFO Epochs [5/128] Iter [3680/90000] loss_GTA: 0.1736 loss: -0.0382 Time/Image: 0.6702
2022-03-17 15:04:40,929 INFO Epochs [5/128] Iter [3700/90000] loss_GTA: 0.2029 loss: -0.0324 Time/Image: 0.6773
2022-03-17 15:05:38,388 INFO Epochs [6/128] Iter [3720/90000] loss_GTA: 0.2524 loss: -0.0173 Time/Image: 0.6728
2022-03-17 15:06:32,312 INFO Epochs [6/128] Iter [3740/90000] loss_GTA: 0.1006 loss: 0.0247 Time/Image: 0.6692
2022-03-17 15:07:26,381 INFO Epochs [6/128] Iter [3760/90000] loss_GTA: 0.1830 loss: 0.0102 Time/Image: 0.6710
2022-03-17 15:08:20,591 INFO Epochs [6/128] Iter [3780/90000] loss_GTA: 0.2930 loss: 0.0220 Time/Image: 0.6726
2022-03-17 15:09:14,634 INFO Epochs [6/128] Iter [3800/90000] loss_GTA: 0.1590 loss: 0.0175 Time/Image: 0.6707
2022-03-17 15:10:08,865 INFO Epochs [6/128] Iter [3820/90000] loss_GTA: 0.4423 loss: -0.0443 Time/Image: 0.6730
2022-03-17 15:11:03,122 INFO Epochs [6/128] Iter [3840/90000] loss_GTA: 0.1046 loss: -0.0073 Time/Image: 0.6731
2022-03-17 15:11:57,164 INFO Epochs [6/128] Iter [3860/90000] loss_GTA: 0.2618 loss: -0.0076 Time/Image: 0.6707
2022-03-17 15:12:51,315 INFO Epochs [6/128] Iter [3880/90000] loss_GTA: 0.2216 loss: 0.1066 Time/Image: 0.6721
2022-03-17 15:13:45,391 INFO Epochs [6/128] Iter [3900/90000] loss_GTA: 0.2427 loss: -0.0156 Time/Image: 0.6711
2022-03-17 15:14:39,575 INFO Epochs [6/128] Iter [3920/90000] loss_GTA: 0.1098 loss: -0.0298 Time/Image: 0.6723
2022-03-17 15:15:33,776 INFO Epochs [6/128] Iter [3940/90000] loss_GTA: 0.1599 loss: 0.0530 Time/Image: 0.6726
2022-03-17 15:16:27,894 INFO Epochs [6/128] Iter [3960/90000] loss_GTA: 0.1883 loss: -0.0286 Time/Image: 0.6715
2022-03-17 15:17:21,943 INFO Epochs [6/128] Iter [3980/90000] loss_GTA: 0.1884 loss: 0.1003 Time/Image: 0.6707
2022-03-17 15:18:16,060 INFO Epochs [6/128] Iter [4000/90000] loss_GTA: 0.1412 loss: -0.0340 Time/Image: 0.6717
2022-03-17 15:18:16,060 INFO learning rate is 0.005759578313396958 for ResNet101 net
2022-03-17 15:18:16,062 INFO Successfully set the model eval mode
2022-03-17 15:21:28,961 INFO Overall Acc: : 0.9061553196230049
2022-03-17 15:21:28,962 INFO Mean Acc : : 0.7019213301586005
2022-03-17 15:21:28,962 INFO FreqW Acc : : 0.8348448705533172
2022-03-17 15:21:28,962 INFO Mean IoU : : 0.5768915446108053
2022-03-17 15:21:28,962 INFO 0: 0.913344630607938
2022-03-17 15:21:28,962 INFO 1: 0.5954684893389875
2022-03-17 15:21:28,962 INFO 2: 0.8253936307411534
2022-03-17 15:21:28,962 INFO 3: 0.42205000370530316
2022-03-17 15:21:28,962 INFO 4: 0.28349374599641003
2022-03-17 15:21:28,962 INFO 5: 0.4612327715953998
2022-03-17 15:21:28,962 INFO 6: 0.5570600014870463
2022-03-17 15:21:28,962 INFO 7: 0.5432441607930707
2022-03-17 15:21:28,962 INFO 8: 0.8831397739676315
2022-03-17 15:21:28,962 INFO 9: 0.4854272740341803
2022-03-17 15:21:28,962 INFO 10: 0.826075036810702
2022-03-17 15:21:28,962 INFO 11: 0.7095134834771109
2022-03-17 15:21:28,962 INFO 12: 0.3374424542362449
2022-03-17 15:21:28,962 INFO 13: 0.8918543251441059
2022-03-17 15:21:28,962 INFO 14: 0.4407972356209703
2022-03-17 15:21:28,962 INFO 15: 0.6475000277209793
2022-03-17 15:21:28,962 INFO 16: 0.17697479924973783
2022-03-17 15:21:28,963 INFO 17: 0.43525852079717864
2022-03-17 15:21:28,963 INFO 18: 0.5256689822811499
2022-03-17 15:21:31,502 INFO Best iou until now is 0.5768915446108053
2022-03-17 15:22:25,786 INFO Epochs [6/128] Iter [4020/90000] loss_GTA: 0.1696 loss: -0.0015 Time/Image: 0.6732
2022-03-17 15:23:19,933 INFO Epochs [6/128] Iter [4040/90000] loss_GTA: 0.1935 loss: -0.0136 Time/Image: 0.6720
2022-03-17 15:24:14,037 INFO Epochs [6/128] Iter [4060/90000] loss_GTA: 0.1942 loss: 0.0018 Time/Image: 0.6711
2022-03-17 15:25:08,106 INFO Epochs [6/128] Iter [4080/90000] loss_GTA: 0.0795 loss: 0.0010 Time/Image: 0.6710
2022-03-17 15:26:02,180 INFO Epochs [6/128] Iter [4100/90000] loss_GTA: 0.1313 loss: -0.0311 Time/Image: 0.6710
2022-03-17 15:26:56,210 INFO Epochs [6/128] Iter [4120/90000] loss_GTA: 0.2199 loss: -0.0182 Time/Image: 0.6706
2022-03-17 15:27:50,253 INFO Epochs [6/128] Iter [4140/90000] loss_GTA: 0.0807 loss: 0.0292 Time/Image: 0.6705
2022-03-17 15:28:44,373 INFO Epochs [6/128] Iter [4160/90000] loss_GTA: 0.0649 loss: 0.0152 Time/Image: 0.6718
2022-03-17 15:29:38,442 INFO Epochs [6/128] Iter [4180/90000] loss_GTA: 0.5038 loss: -0.0250 Time/Image: 0.6709
2022-03-17 15:30:32,464 INFO Epochs [6/128] Iter [4200/90000] loss_GTA: 0.0273 loss: -0.0257 Time/Image: 0.6703
2022-03-17 15:31:26,513 INFO Epochs [6/128] Iter [4220/90000] loss_GTA: 0.1521 loss: -0.0437 Time/Image: 0.6709
2022-03-17 15:32:20,692 INFO Epochs [6/128] Iter [4240/90000] loss_GTA: 0.0585 loss: -0.0168 Time/Image: 0.6723
2022-03-17 15:33:14,767 INFO Epochs [6/128] Iter [4260/90000] loss_GTA: 0.1638 loss: -0.0138 Time/Image: 0.6711
2022-03-17 15:34:08,909 INFO Epochs [6/128] Iter [4280/90000] loss_GTA: 0.2305 loss: 0.0408 Time/Image: 0.6720
2022-03-17 15:35:02,962 INFO Epochs [6/128] Iter [4300/90000] loss_GTA: 0.1508 loss: -0.0311 Time/Image: 0.6707
2022-03-17 15:35:57,075 INFO Epochs [6/128] Iter [4320/90000] loss_GTA: 0.1018 loss: -0.0277 Time/Image: 0.6714
2022-03-17 15:36:51,318 INFO Epochs [6/128] Iter [4340/90000] loss_GTA: 0.4037 loss: 0.0018 Time/Image: 0.6732
2022-03-17 15:37:45,435 INFO Epochs [6/128] Iter [4360/90000] loss_GTA: 0.2601 loss: -0.0277 Time/Image: 0.6715
2022-03-17 15:38:39,566 INFO Epochs [6/128] Iter [4380/90000] loss_GTA: 0.1443 loss: 0.2501 Time/Image: 0.6716
2022-03-17 15:39:33,820 INFO Epochs [6/128] Iter [4400/90000] loss_GTA: 0.2226 loss: -0.0099 Time/Image: 0.6733
2022-03-17 15:40:27,878 INFO Epochs [6/128] Iter [4420/90000] loss_GTA: 0.0974 loss: -0.0304 Time/Image: 0.6706
2022-03-17 15:41:22,165 INFO Epochs [6/128] Iter [4440/90000] loss_GTA: 0.1522 loss: -0.0296 Time/Image: 0.6737
2022-03-17 15:42:20,245 INFO Epochs [7/128] Iter [4460/90000] loss_GTA: 1.2099 loss: -0.0104 Time/Image: 0.6770
2022-03-17 15:43:14,297 INFO Epochs [7/128] Iter [4480/90000] loss_GTA: 0.1053 loss: -0.0444 Time/Image: 0.6708
2022-03-17 15:44:08,330 INFO Epochs [7/128] Iter [4500/90000] loss_GTA: 0.1360 loss: -0.0080 Time/Image: 0.6705
2022-03-17 15:45:02,458 INFO Epochs [7/128] Iter [4520/90000] loss_GTA: 0.1266 loss: 0.0384 Time/Image: 0.6716
2022-03-17 15:45:56,549 INFO Epochs [7/128] Iter [4540/90000] loss_GTA: 0.2401 loss: -0.0185 Time/Image: 0.6713
2022-03-17 15:46:50,569 INFO Epochs [7/128] Iter [4560/90000] loss_GTA: 0.1257 loss: -0.0054 Time/Image: 0.6703
2022-03-17 15:47:44,606 INFO Epochs [7/128] Iter [4580/90000] loss_GTA: 0.1546 loss: -0.0068 Time/Image: 0.6706
2022-03-17 15:48:38,723 INFO Epochs [7/128] Iter [4600/90000] loss_GTA: 0.1127 loss: -0.0062 Time/Image: 0.6714
2022-03-17 15:49:32,871 INFO Epochs [7/128] Iter [4620/90000] loss_GTA: 0.1916 loss: 0.0510 Time/Image: 0.6720
2022-03-17 15:50:27,007 INFO Epochs [7/128] Iter [4640/90000] loss_GTA: 0.3339 loss: -0.0336 Time/Image: 0.6718
2022-03-17 15:51:21,076 INFO Epochs [7/128] Iter [4660/90000] loss_GTA: 0.2884 loss: -0.0250 Time/Image: 0.6710
2022-03-17 15:52:15,271 INFO Epochs [7/128] Iter [4680/90000] loss_GTA: 0.1828 loss: -0.0023 Time/Image: 0.6726
2022-03-17 15:53:09,903 INFO Epochs [7/128] Iter [4700/90000] loss_GTA: 0.1352 loss: 0.0647 Time/Image: 0.6780
2022-03-17 15:54:04,552 INFO Epochs [7/128] Iter [4720/90000] loss_GTA: 0.2169 loss: 0.0050 Time/Image: 0.6780
2022-03-17 15:54:58,983 INFO Epochs [7/128] Iter [4740/90000] loss_GTA: 0.1599 loss: -0.0454 Time/Image: 0.6755
2022-03-17 15:55:53,305 INFO Epochs [7/128] Iter [4760/90000] loss_GTA: 0.1321 loss: 0.0079 Time/Image: 0.6742
2022-03-17 15:56:48,173 INFO Epochs [7/128] Iter [4780/90000] loss_GTA: 0.2504 loss: -0.0073 Time/Image: 0.6809
2022-03-17 15:57:58,931 INFO Epochs [7/128] Iter [4800/90000] loss_GTA: 0.1177 loss: 0.0421 Time/Image: 0.8793
2022-03-17 15:59:24,552 INFO Epochs [7/128] Iter [4820/90000] loss_GTA: 0.2170 loss: -0.0011 Time/Image: 1.0377
2022-03-17 16:01:44,953 INFO Epochs [7/128] Iter [4840/90000] loss_GTA: 0.1199 loss: -0.0432 Time/Image: 1.4883
2022-03-17 16:05:14,401 INFO Epochs [7/128] Iter [4860/90000] loss_GTA: 0.1010 loss: -0.0469 Time/Image: 1.5778
2022-03-17 16:07:13,829 INFO Epochs [7/128] Iter [4880/90000] loss_GTA: 0.2768 loss: -0.0275 Time/Image: 1.0914
2022-03-17 16:08:15,155 INFO Epochs [7/128] Iter [4900/90000] loss_GTA: 0.3364 loss: -0.0445 Time/Image: 0.7615
2022-03-17 16:10:06,918 INFO Epochs [7/128] Iter [4920/90000] loss_GTA: 0.1115 loss: -0.0086 Time/Image: 1.3919
2022-03-17 16:12:30,604 INFO Epochs [7/128] Iter [4940/90000] loss_GTA: 0.1547 loss: 0.0071 Time/Image: 1.6762
2022-03-17 16:14:26,272 INFO Epochs [7/128] Iter [4960/90000] loss_GTA: 0.1294 loss: -0.0391 Time/Image: 1.2664
2022-03-17 16:17:45,317 INFO Epochs [7/128] Iter [4980/90000] loss_GTA: 0.1604 loss: 0.0247 Time/Image: 1.6759
2022-03-17 16:20:22,669 INFO Epochs [7/128] Iter [5000/90000] loss_GTA: 0.1827 loss: -0.0417 Time/Image: 1.5283
2022-03-17 16:20:22,672 INFO learning rate is 0.005699269866239147 for ResNet101 net
2022-03-17 16:20:22,674 INFO Successfully set the model eval mode
2022-03-17 16:56:17,012 INFO Overall Acc: : 0.8777818033721237
2022-03-17 16:56:17,012 INFO Mean Acc : : 0.6863791688478473
2022-03-17 16:56:17,012 INFO FreqW Acc : : 0.7894675538949475
2022-03-17 16:56:17,012 INFO Mean IoU : : 0.5617250009278497
2022-03-17 16:56:17,012 INFO 0: 0.8450416452365335
2022-03-17 16:56:17,013 INFO 1: 0.5738404164258791
2022-03-17 16:56:17,013 INFO 2: 0.7476399961271444
2022-03-17 16:56:17,013 INFO 3: 0.44369551973565863
2022-03-17 16:56:17,013 INFO 4: 0.28599192505998855
2022-03-17 16:56:17,013 INFO 5: 0.4674320283819254
2022-03-17 16:56:17,013 INFO 6: 0.5622372171268147
2022-03-17 16:56:17,013 INFO 7: 0.45846814481845666
2022-03-17 16:56:17,013 INFO 8: 0.8803397529661137
2022-03-17 16:56:17,013 INFO 9: 0.48403210355564247
2022-03-17 16:56:17,013 INFO 10: 0.8218140642466328
2022-03-17 16:56:17,013 INFO 11: 0.7065191337142113
2022-03-17 16:56:17,013 INFO 12: 0.32967118397856804
2022-03-17 16:56:17,013 INFO 13: 0.8896919802683636
2022-03-17 16:56:17,013 INFO 14: 0.4009945919902832
2022-03-17 16:56:17,013 INFO 15: 0.6071184452668406
2022-03-17 16:56:17,013 INFO 16: 0.20600362804471178
2022-03-17 16:56:17,013 INFO 17: 0.45031549186154096
2022-03-17 16:56:17,013 INFO 18: 0.5119277488238348
2022-03-17 16:56:18,231 INFO Best iou until now is 0.5768915446108053
2022-03-17 16:57:12,447 INFO Epochs [7/128] Iter [5020/90000] loss_GTA: 0.2083 loss: -0.0416 Time/Image: 0.6692
2022-03-17 16:58:06,191 INFO Epochs [7/128] Iter [5040/90000] loss_GTA: 0.1047 loss: 0.0129 Time/Image: 0.6670
2022-03-17 16:59:00,257 INFO Epochs [7/128] Iter [5060/90000] loss_GTA: 0.1243 loss: -0.0252 Time/Image: 0.6711
2022-03-17 16:59:54,367 INFO Epochs [7/128] Iter [5080/90000] loss_GTA: 0.1723 loss: 0.0010 Time/Image: 0.6716
2022-03-17 17:00:48,379 INFO Epochs [7/128] Iter [5100/90000] loss_GTA: 0.2152 loss: 0.0324 Time/Image: 0.6705
2022-03-17 17:01:43,888 INFO Epochs [7/128] Iter [5120/90000] loss_GTA: 0.5552 loss: 0.0108 Time/Image: 0.6891
2022-03-17 17:02:37,981 INFO Epochs [7/128] Iter [5140/90000] loss_GTA: 0.1128 loss: -0.0355 Time/Image: 0.6715
2022-03-17 17:03:33,261 INFO Epochs [7/128] Iter [5160/90000] loss_GTA: 0.1808 loss: -0.0131 Time/Image: 0.6863
2022-03-17 17:04:27,270 INFO Epochs [7/128] Iter [5180/90000] loss_GTA: 0.4621 loss: 0.0507 Time/Image: 0.6704
2022-03-17 17:05:23,265 INFO Epochs [7/128] Iter [5200/90000] loss_GTA: 0.1205 loss: -0.0346 Time/Image: 0.6952
2022-03-17 17:06:21,273 INFO Epochs [8/128] Iter [5220/90000] loss_GTA: 0.1621 loss: 0.0332 Time/Image: 0.6867
2022-03-17 17:07:15,231 INFO Epochs [8/128] Iter [5240/90000] loss_GTA: 0.1101 loss: 0.2743 Time/Image: 0.6698
2022-03-17 17:08:10,302 INFO Epochs [8/128] Iter [5260/90000] loss_GTA: 0.1242 loss: 0.0541 Time/Image: 0.6837
2022-03-17 17:09:04,348 INFO Epochs [8/128] Iter [5280/90000] loss_GTA: 0.1272 loss: -0.0368 Time/Image: 0.6708
2022-03-17 17:09:58,833 INFO Epochs [8/128] Iter [5300/90000] loss_GTA: 0.1726 loss: 0.0082 Time/Image: 0.6764
2022-03-17 17:10:53,548 INFO Epochs [8/128] Iter [5320/90000] loss_GTA: 0.2151 loss: -0.0158 Time/Image: 0.6792
2022-03-17 17:11:48,854 INFO Epochs [8/128] Iter [5340/90000] loss_GTA: 0.1635 loss: -0.0451 Time/Image: 0.6866
2022-03-17 17:12:42,981 INFO Epochs [8/128] Iter [5360/90000] loss_GTA: 0.1038 loss: -0.0393 Time/Image: 0.6719
2022-03-17 17:13:37,064 INFO Epochs [8/128] Iter [5380/90000] loss_GTA: 0.1403 loss: 0.1467 Time/Image: 0.6714
2022-03-17 17:14:30,984 INFO Epochs [8/128] Iter [5400/90000] loss_GTA: 0.0970 loss: -0.0417 Time/Image: 0.6693
2022-03-17 17:15:24,991 INFO Epochs [8/128] Iter [5420/90000] loss_GTA: 0.1218 loss: -0.0410 Time/Image: 0.6704
2022-03-17 17:16:19,006 INFO Epochs [8/128] Iter [5440/90000] loss_GTA: 0.1396 loss: 0.0232 Time/Image: 0.6705
2022-03-17 17:17:12,890 INFO Epochs [8/128] Iter [5460/90000] loss_GTA: 0.2065 loss: 0.0070 Time/Image: 0.6689
2022-03-17 17:18:06,866 INFO Epochs [8/128] Iter [5480/90000] loss_GTA: 0.1938 loss: -0.0211 Time/Image: 0.6700
2022-03-17 17:19:01,170 INFO Epochs [8/128] Iter [5500/90000] loss_GTA: 0.1409 loss: -0.0193 Time/Image: 0.6740
2022-03-17 17:19:55,617 INFO Epochs [8/128] Iter [5520/90000] loss_GTA: 0.1340 loss: 0.0166 Time/Image: 0.6757
2022-03-17 17:20:49,874 INFO Epochs [8/128] Iter [5540/90000] loss_GTA: 0.2427 loss: -0.0213 Time/Image: 0.6732
2022-03-17 17:21:44,006 INFO Epochs [8/128] Iter [5560/90000] loss_GTA: 0.1712 loss: -0.0375 Time/Image: 0.6718
2022-03-17 17:22:38,149 INFO Epochs [8/128] Iter [5580/90000] loss_GTA: 0.2162 loss: 0.2247 Time/Image: 0.6719
2022-03-17 17:23:32,782 INFO Epochs [8/128] Iter [5600/90000] loss_GTA: 0.1583 loss: -0.0358 Time/Image: 0.6779
2022-03-17 17:24:26,979 INFO Epochs [8/128] Iter [5620/90000] loss_GTA: 0.3061 loss: -0.0208 Time/Image: 0.6726
2022-03-17 17:25:21,248 INFO Epochs [8/128] Iter [5640/90000] loss_GTA: 0.0989 loss: 0.0367 Time/Image: 0.6736
2022-03-17 17:26:15,510 INFO Epochs [8/128] Iter [5660/90000] loss_GTA: 0.1332 loss: 0.0444 Time/Image: 0.6734
2022-03-17 17:27:09,950 INFO Epochs [8/128] Iter [5680/90000] loss_GTA: 0.1441 loss: -0.0230 Time/Image: 0.6756
2022-03-17 17:28:04,630 INFO Epochs [8/128] Iter [5700/90000] loss_GTA: 0.2290 loss: 0.0818 Time/Image: 0.6787
2022-03-17 17:28:58,828 INFO Epochs [8/128] Iter [5720/90000] loss_GTA: 0.2041 loss: -0.0126 Time/Image: 0.6727
2022-03-17 17:29:53,100 INFO Epochs [8/128] Iter [5740/90000] loss_GTA: 0.3284 loss: 0.0153 Time/Image: 0.6735
2022-03-17 17:30:47,538 INFO Epochs [8/128] Iter [5760/90000] loss_GTA: 0.2038 loss: 0.0715 Time/Image: 0.6756
2022-03-17 17:31:41,838 INFO Epochs [8/128] Iter [5780/90000] loss_GTA: 0.2734 loss: -0.0321 Time/Image: 0.6739
2022-03-17 17:32:36,264 INFO Epochs [8/128] Iter [5800/90000] loss_GTA: 0.1403 loss: -0.0347 Time/Image: 0.6752
2022-03-17 17:33:30,425 INFO Epochs [8/128] Iter [5820/90000] loss_GTA: 0.1083 loss: 0.0350 Time/Image: 0.6722
2022-03-17 17:34:24,912 INFO Epochs [8/128] Iter [5840/90000] loss_GTA: 0.6057 loss: -0.0421 Time/Image: 0.6762
2022-03-17 17:35:19,242 INFO Epochs [8/128] Iter [5860/90000] loss_GTA: 0.0754 loss: 0.0497 Time/Image: 0.6743
2022-03-17 17:36:13,546 INFO Epochs [8/128] Iter [5880/90000] loss_GTA: 0.1936 loss: -0.0268 Time/Image: 0.6740
2022-03-17 17:37:07,858 INFO Epochs [8/128] Iter [5900/90000] loss_GTA: 0.1670 loss: -0.0261 Time/Image: 0.6740
2022-03-17 17:38:02,181 INFO Epochs [8/128] Iter [5920/90000] loss_GTA: 0.0997 loss: -0.0224 Time/Image: 0.6741
2022-03-17 17:38:56,742 INFO Epochs [8/128] Iter [5940/90000] loss_GTA: 0.2099 loss: 0.0273 Time/Image: 0.6771
2022-03-17 17:39:53,967 INFO Epochs [9/128] Iter [5960/90000] loss_GTA: 0.0629 loss: -0.0245 Time/Image: 0.6724
2022-03-17 17:40:48,234 INFO Epochs [9/128] Iter [5980/90000] loss_GTA: 0.1882 loss: -0.0389 Time/Image: 0.6735
2022-03-17 17:41:42,721 INFO Epochs [9/128] Iter [6000/90000] loss_GTA: 0.1145 loss: -0.0498 Time/Image: 0.6761
2022-03-17 17:41:42,721 INFO learning rate is 0.005638890426165535 for ResNet101 net
2022-03-17 17:41:42,723 INFO Successfully set the model eval mode
2022-03-17 17:44:19,690 INFO Overall Acc: : 0.8904249704827926
2022-03-17 17:44:19,690 INFO Mean Acc : : 0.6873611479731229
2022-03-17 17:44:19,690 INFO FreqW Acc : : 0.8094055045399215
2022-03-17 17:44:19,690 INFO Mean IoU : : 0.5704221845260392
2022-03-17 17:44:19,690 INFO 0: 0.8775282388882177
2022-03-17 17:44:19,690 INFO 1: 0.5967551202748147
2022-03-17 17:44:19,691 INFO 2: 0.775337974313156
2022-03-17 17:44:19,691 INFO 3: 0.4324582251417087
2022-03-17 17:44:19,691 INFO 4: 0.28242988717104234
2022-03-17 17:44:19,691 INFO 5: 0.4689613119258399
2022-03-17 17:44:19,691 INFO 6: 0.5602658760132524
2022-03-17 17:44:19,691 INFO 7: 0.57522391054844
2022-03-17 17:44:19,691 INFO 8: 0.880231809481717
2022-03-17 17:44:19,691 INFO 9: 0.4944693760700754
2022-03-17 17:44:19,691 INFO 10: 0.8356036236584605
2022-03-17 17:44:19,691 INFO 11: 0.7186286912143156
2022-03-17 17:44:19,691 INFO 12: 0.34516153772686625
2022-03-17 17:44:19,691 INFO 13: 0.8787960797671377
2022-03-17 17:44:19,691 INFO 14: 0.3230412335325776
2022-03-17 17:44:19,691 INFO 15: 0.5504243199880762
2022-03-17 17:44:19,691 INFO 16: 0.25605780835423875
2022-03-17 17:44:19,691 INFO 17: 0.4619372785745337
2022-03-17 17:44:19,691 INFO 18: 0.5247092033502746
2022-03-17 17:44:20,704 INFO Best iou until now is 0.5768915446108053
2022-03-17 17:45:15,271 INFO Epochs [9/128] Iter [6020/90000] loss_GTA: 0.2076 loss: -0.0373 Time/Image: 0.6771
2022-03-17 17:46:09,546 INFO Epochs [9/128] Iter [6040/90000] loss_GTA: 0.2341 loss: -0.0457 Time/Image: 0.6737
2022-03-17 17:47:03,749 INFO Epochs [9/128] Iter [6060/90000] loss_GTA: 0.1341 loss: -0.0346 Time/Image: 0.6728
2022-03-17 17:47:58,073 INFO Epochs [9/128] Iter [6080/90000] loss_GTA: 0.1011 loss: -0.0354 Time/Image: 0.6742
2022-03-17 17:48:52,291 INFO Epochs [9/128] Iter [6100/90000] loss_GTA: 0.0772 loss: 0.0846 Time/Image: 0.6729
2022-03-17 17:49:46,572 INFO Epochs [9/128] Iter [6120/90000] loss_GTA: 0.1267 loss: -0.0361 Time/Image: 0.6735
2022-03-17 17:50:40,807 INFO Epochs [9/128] Iter [6140/90000] loss_GTA: 0.1068 loss: -0.0363 Time/Image: 0.6732
2022-03-17 17:51:35,038 INFO Epochs [9/128] Iter [6160/90000] loss_GTA: 0.0625 loss: -0.0247 Time/Image: 0.6730
2022-03-17 17:52:29,159 INFO Epochs [9/128] Iter [6180/90000] loss_GTA: 0.1599 loss: -0.0313 Time/Image: 0.6716
2022-03-17 17:53:23,506 INFO Epochs [9/128] Iter [6200/90000] loss_GTA: 0.2867 loss: 0.0239 Time/Image: 0.6746
2022-03-17 17:54:17,649 INFO Epochs [9/128] Iter [6220/90000] loss_GTA: 0.3782 loss: 0.0350 Time/Image: 0.6720
2022-03-17 17:55:11,863 INFO Epochs [9/128] Iter [6240/90000] loss_GTA: 0.0730 loss: -0.0152 Time/Image: 0.6729
2022-03-17 17:56:21,137 INFO Epochs [9/128] Iter [6260/90000] loss_GTA: 0.1181 loss: 0.0667 Time/Image: 0.6720
2022-03-17 17:57:15,366 INFO Epochs [9/128] Iter [6280/90000] loss_GTA: 0.1533 loss: -0.0024 Time/Image: 0.6730
2022-03-17 17:58:09,672 INFO Epochs [9/128] Iter [6300/90000] loss_GTA: 0.1673 loss: 0.0353 Time/Image: 0.6739
2022-03-17 17:59:03,883 INFO Epochs [9/128] Iter [6320/90000] loss_GTA: 0.1245 loss: -0.0023 Time/Image: 0.6727
2022-03-17 17:59:58,292 INFO Epochs [9/128] Iter [6340/90000] loss_GTA: 0.1133 loss: 0.1104 Time/Image: 0.6752
2022-03-17 18:00:52,387 INFO Epochs [9/128] Iter [6360/90000] loss_GTA: 0.0531 loss: 0.0210 Time/Image: 0.6713
2022-03-17 18:01:46,689 INFO Epochs [9/128] Iter [6380/90000] loss_GTA: 0.0918 loss: 0.0112 Time/Image: 0.6739
2022-03-17 18:02:41,107 INFO Epochs [9/128] Iter [6400/90000] loss_GTA: 0.2003 loss: -0.0195 Time/Image: 0.6755
2022-03-17 18:03:35,426 INFO Epochs [9/128] Iter [6420/90000] loss_GTA: 0.1581 loss: 0.0067 Time/Image: 0.6740
2022-03-17 18:04:29,624 INFO Epochs [9/128] Iter [6440/90000] loss_GTA: 0.5796 loss: -0.0228 Time/Image: 0.6724
2022-03-17 18:05:23,753 INFO Epochs [9/128] Iter [6460/90000] loss_GTA: 0.1184 loss: 0.0164 Time/Image: 0.6718
2022-03-17 18:06:17,813 INFO Epochs [9/128] Iter [6480/90000] loss_GTA: 0.0870 loss: -0.0203 Time/Image: 0.6708
2022-03-17 18:07:12,169 INFO Epochs [9/128] Iter [6500/90000] loss_GTA: 0.2673 loss: 0.0740 Time/Image: 0.6747
2022-03-17 18:08:06,417 INFO Epochs [9/128] Iter [6520/90000] loss_GTA: 0.1703 loss: -0.0329 Time/Image: 0.6732
2022-03-17 18:09:00,674 INFO Epochs [9/128] Iter [6540/90000] loss_GTA: 0.4234 loss: -0.0271 Time/Image: 0.6733
2022-03-17 18:09:54,858 INFO Epochs [9/128] Iter [6560/90000] loss_GTA: 0.3281 loss: -0.0343 Time/Image: 0.6725
2022-03-17 18:10:49,133 INFO Epochs [9/128] Iter [6580/90000] loss_GTA: 0.1425 loss: -0.0172 Time/Image: 0.6735
2022-03-17 18:11:43,339 INFO Epochs [9/128] Iter [6600/90000] loss_GTA: 0.3083 loss: -0.0301 Time/Image: 0.6727
2022-03-17 18:12:37,526 INFO Epochs [9/128] Iter [6620/90000] loss_GTA: 0.2227 loss: -0.0334 Time/Image: 0.6725
2022-03-17 18:13:31,825 INFO Epochs [9/128] Iter [6640/90000] loss_GTA: 0.1599 loss: -0.0166 Time/Image: 0.6739
2022-03-17 18:14:26,016 INFO Epochs [9/128] Iter [6660/90000] loss_GTA: 0.0844 loss: -0.0221 Time/Image: 0.6724
2022-03-17 18:15:20,365 INFO Epochs [9/128] Iter [6680/90000] loss_GTA: 0.2009 loss: -0.0194 Time/Image: 0.6744
2022-03-17 18:16:18,317 INFO Epochs [10/128] Iter [6700/90000] loss_GTA: 0.1815 loss: 0.0998 Time/Image: 0.6731
2022-03-17 18:17:12,344 INFO Epochs [10/128] Iter [6720/90000] loss_GTA: 0.6182 loss: -0.0202 Time/Image: 0.6705
2022-03-17 18:18:06,634 INFO Epochs [10/128] Iter [6740/90000] loss_GTA: 0.2539 loss: -0.0170 Time/Image: 0.6738
2022-03-17 18:19:00,786 INFO Epochs [10/128] Iter [6760/90000] loss_GTA: 0.2153 loss: -0.0026 Time/Image: 0.6721
2022-03-17 18:19:54,931 INFO Epochs [10/128] Iter [6780/90000] loss_GTA: 0.1927 loss: -0.0053 Time/Image: 0.6719
2022-03-17 18:20:49,236 INFO Epochs [10/128] Iter [6800/90000] loss_GTA: 0.1780 loss: -0.0344 Time/Image: 0.6740
2022-03-17 18:21:43,397 INFO Epochs [10/128] Iter [6820/90000] loss_GTA: 0.0977 loss: -0.0090 Time/Image: 0.6722
2022-03-17 18:22:37,679 INFO Epochs [10/128] Iter [6840/90000] loss_GTA: 0.1424 loss: -0.0351 Time/Image: 0.6736
2022-03-17 18:23:31,853 INFO Epochs [10/128] Iter [6860/90000] loss_GTA: 0.2321 loss: -0.0297 Time/Image: 0.6724
2022-03-17 18:24:26,090 INFO Epochs [10/128] Iter [6880/90000] loss_GTA: 0.2575 loss: -0.0331 Time/Image: 0.6731
2022-03-17 18:25:20,481 INFO Epochs [10/128] Iter [6900/90000] loss_GTA: 0.1646 loss: -0.0284 Time/Image: 0.6750
2022-03-17 18:26:14,823 INFO Epochs [10/128] Iter [6920/90000] loss_GTA: 0.1414 loss: -0.0108 Time/Image: 0.6742
2022-03-17 18:27:08,923 INFO Epochs [10/128] Iter [6940/90000] loss_GTA: 0.1212 loss: -0.0371 Time/Image: 0.6713
2022-03-17 18:28:03,499 INFO Epochs [10/128] Iter [6960/90000] loss_GTA: 0.3013 loss: -0.0123 Time/Image: 0.6772
2022-03-17 18:28:57,701 INFO Epochs [10/128] Iter [6980/90000] loss_GTA: 0.1572 loss: -0.0363 Time/Image: 0.6726
2022-03-17 18:29:52,034 INFO Epochs [10/128] Iter [7000/90000] loss_GTA: 0.1539 loss: -0.0051 Time/Image: 0.6743
2022-03-17 18:29:52,034 INFO learning rate is 0.00557843906293184 for ResNet101 net
2022-03-17 18:29:52,039 INFO Successfully set the model eval mode
2022-03-17 18:39:27,968 INFO Overall Acc: : 0.9128712354675327
2022-03-17 18:39:27,969 INFO Mean Acc : : 0.6857883550706474
2022-03-17 18:39:27,969 INFO FreqW Acc : : 0.8453019342180818
2022-03-17 18:39:27,969 INFO Mean IoU : : 0.5777413421290586
2022-03-17 18:39:27,969 INFO 0: 0.9285219020077342
2022-03-17 18:39:27,969 INFO 1: 0.5703638350431206
2022-03-17 18:39:27,969 INFO 2: 0.8480783892067144
2022-03-17 18:39:27,969 INFO 3: 0.47979550483241123
2022-03-17 18:39:27,969 INFO 4: 0.3268758552682567
2022-03-17 18:39:27,969 INFO 5: 0.4839910458654293
2022-03-17 18:39:27,969 INFO 6: 0.5354708971481729
2022-03-17 18:39:27,969 INFO 7: 0.5452950172387501
2022-03-17 18:39:27,970 INFO 8: 0.8833707690259136
2022-03-17 18:39:27,970 INFO 9: 0.5030045440120093
2022-03-17 18:39:27,970 INFO 10: 0.838395705155882
2022-03-17 18:39:27,970 INFO 11: 0.711839501690676
2022-03-17 18:39:27,970 INFO 12: 0.3024178769414029
2022-03-17 18:39:27,970 INFO 13: 0.8857047459733427
2022-03-17 18:39:27,970 INFO 14: 0.3945964511977976
2022-03-17 18:39:27,970 INFO 15: 0.652589467598188
2022-03-17 18:39:27,970 INFO 16: 0.04596274671486439
2022-03-17 18:39:27,970 INFO 17: 0.5008314831744374
2022-03-17 18:39:27,970 INFO 18: 0.5399797623570117
2022-03-17 18:39:30,648 INFO Best iou until now is 0.5777413421290586
2022-03-17 18:40:25,015 INFO Epochs [10/128] Iter [7020/90000] loss_GTA: 0.2019 loss: -0.0272 Time/Image: 0.6702
2022-03-17 18:41:19,397 INFO Epochs [10/128] Iter [7040/90000] loss_GTA: 0.1289 loss: -0.0237 Time/Image: 0.6747
2022-03-17 18:42:13,497 INFO Epochs [10/128] Iter [7060/90000] loss_GTA: 0.2028 loss: -0.0308 Time/Image: 0.6715
2022-03-17 18:43:07,769 INFO Epochs [10/128] Iter [7080/90000] loss_GTA: 0.1362 loss: -0.0272 Time/Image: 0.6735
2022-03-17 18:44:01,969 INFO Epochs [10/128] Iter [7100/90000] loss_GTA: 0.1559 loss: 0.1367 Time/Image: 0.6726
2022-03-17 18:44:56,153 INFO Epochs [10/128] Iter [7120/90000] loss_GTA: 0.0765 loss: -0.0299 Time/Image: 0.6724
2022-03-17 18:45:50,345 INFO Epochs [10/128] Iter [7140/90000] loss_GTA: 0.1739 loss: -0.0247 Time/Image: 0.6726
2022-03-17 18:46:44,566 INFO Epochs [10/128] Iter [7160/90000] loss_GTA: 0.1528 loss: -0.0086 Time/Image: 0.6727
2022-03-17 18:47:38,764 INFO Epochs [10/128] Iter [7180/90000] loss_GTA: 0.2269 loss: -0.0262 Time/Image: 0.6726
2022-03-17 18:48:32,931 INFO Epochs [10/128] Iter [7200/90000] loss_GTA: 0.3106 loss: 0.0358 Time/Image: 0.6722
2022-03-17 18:49:28,345 INFO Epochs [10/128] Iter [7220/90000] loss_GTA: 0.1888 loss: -0.0306 Time/Image: 0.6877
2022-03-17 18:50:22,947 INFO Epochs [10/128] Iter [7240/90000] loss_GTA: 0.1624 loss: -0.0442 Time/Image: 0.6777
2022-03-17 18:51:23,425 INFO Epochs [10/128] Iter [7260/90000] loss_GTA: 0.1080 loss: -0.0284 Time/Image: 0.7509
2022-03-17 18:52:17,912 INFO Epochs [10/128] Iter [7280/90000] loss_GTA: 0.0742 loss: 0.0699 Time/Image: 0.6762
2022-03-17 18:53:19,359 INFO Epochs [10/128] Iter [7300/90000] loss_GTA: 0.1342 loss: -0.0187 Time/Image: 0.7632
2022-03-17 18:54:19,274 INFO Epochs [10/128] Iter [7320/90000] loss_GTA: 0.1292 loss: 0.0474 Time/Image: 0.7441
2022-03-17 18:55:13,274 INFO Epochs [10/128] Iter [7340/90000] loss_GTA: 0.1298 loss: -0.0390 Time/Image: 0.6703
2022-03-17 18:56:07,439 INFO Epochs [10/128] Iter [7360/90000] loss_GTA: 0.1449 loss: -0.0422 Time/Image: 0.6722
2022-03-17 18:57:01,687 INFO Epochs [10/128] Iter [7380/90000] loss_GTA: 0.1415 loss: -0.0089 Time/Image: 0.6733
2022-03-17 18:57:57,798 INFO Epochs [10/128] Iter [7400/90000] loss_GTA: 0.3124 loss: -0.0143 Time/Image: 0.6965
2022-03-17 18:58:56,114 INFO Epochs [10/128] Iter [7420/90000] loss_GTA: 0.1653 loss: 0.0979 Time/Image: 0.7241
2022-03-17 18:59:54,476 INFO Epochs [11/128] Iter [7440/90000] loss_GTA: 0.4955 loss: -0.0348 Time/Image: 0.6777
2022-03-17 19:00:48,703 INFO Epochs [11/128] Iter [7460/90000] loss_GTA: 0.2248 loss: 0.0069 Time/Image: 0.6728
2022-03-17 19:01:42,948 INFO Epochs [11/128] Iter [7480/90000] loss_GTA: 0.1273 loss: -0.0115 Time/Image: 0.6732
2022-03-17 19:02:37,110 INFO Epochs [11/128] Iter [7500/90000] loss_GTA: 0.1903 loss: -0.0150 Time/Image: 0.6723
2022-03-17 19:03:31,273 INFO Epochs [11/128] Iter [7520/90000] loss_GTA: 0.1836 loss: 0.0099 Time/Image: 0.6722
2022-03-17 19:04:25,577 INFO Epochs [11/128] Iter [7540/90000] loss_GTA: 0.1631 loss: 0.1408 Time/Image: 0.6740
2022-03-17 19:05:19,832 INFO Epochs [11/128] Iter [7560/90000] loss_GTA: 0.1826 loss: -0.0032 Time/Image: 0.6732
2022-03-17 19:06:14,398 INFO Epochs [11/128] Iter [7580/90000] loss_GTA: 0.1531 loss: -0.0008 Time/Image: 0.6773
2022-03-17 19:07:08,680 INFO Epochs [11/128] Iter [7600/90000] loss_GTA: 0.1502 loss: -0.0239 Time/Image: 0.6736
2022-03-17 19:08:02,823 INFO Epochs [11/128] Iter [7620/90000] loss_GTA: 0.1797 loss: -0.0297 Time/Image: 0.6719
2022-03-17 19:08:57,145 INFO Epochs [11/128] Iter [7640/90000] loss_GTA: 0.1204 loss: -0.0011 Time/Image: 0.6742
2022-03-17 19:09:51,361 INFO Epochs [11/128] Iter [7660/90000] loss_GTA: 0.1391 loss: 0.0284 Time/Image: 0.6729
2022-03-17 19:10:45,547 INFO Epochs [11/128] Iter [7680/90000] loss_GTA: 0.1856 loss: -0.0212 Time/Image: 0.6725
2022-03-17 19:11:39,739 INFO Epochs [11/128] Iter [7700/90000] loss_GTA: 0.1587 loss: -0.0008 Time/Image: 0.6726
2022-03-17 19:12:33,976 INFO Epochs [11/128] Iter [7720/90000] loss_GTA: 0.1279 loss: -0.0220 Time/Image: 0.6731
2022-03-17 19:13:28,254 INFO Epochs [11/128] Iter [7740/90000] loss_GTA: 0.1808 loss: -0.0249 Time/Image: 0.6736
2022-03-17 19:14:22,433 INFO Epochs [11/128] Iter [7760/90000] loss_GTA: 0.0810 loss: -0.0185 Time/Image: 0.6723
2022-03-17 19:15:16,823 INFO Epochs [11/128] Iter [7780/90000] loss_GTA: 0.1014 loss: -0.0268 Time/Image: 0.6751
2022-03-17 19:16:11,175 INFO Epochs [11/128] Iter [7800/90000] loss_GTA: 0.2055 loss: -0.0208 Time/Image: 0.6746
2022-03-17 19:17:05,430 INFO Epochs [11/128] Iter [7820/90000] loss_GTA: 0.1309 loss: 0.0318 Time/Image: 0.6733
2022-03-17 19:17:59,565 INFO Epochs [11/128] Iter [7840/90000] loss_GTA: 0.2158 loss: -0.0193 Time/Image: 0.6720
2022-03-17 19:18:53,676 INFO Epochs [11/128] Iter [7860/90000] loss_GTA: 0.0902 loss: -0.0390 Time/Image: 0.6714
2022-03-17 19:19:48,032 INFO Epochs [11/128] Iter [7880/90000] loss_GTA: 0.1924 loss: -0.0258 Time/Image: 0.6747
2022-03-17 19:20:42,300 INFO Epochs [11/128] Iter [7900/90000] loss_GTA: 0.1506 loss: 0.0477 Time/Image: 0.6735
2022-03-17 19:21:36,511 INFO Epochs [11/128] Iter [7920/90000] loss_GTA: 0.1522 loss: -0.0408 Time/Image: 0.6726
2022-03-17 19:22:30,693 INFO Epochs [11/128] Iter [7940/90000] loss_GTA: 0.1684 loss: 0.0147 Time/Image: 0.6725
2022-03-17 19:23:24,955 INFO Epochs [11/128] Iter [7960/90000] loss_GTA: 0.2756 loss: 0.0226 Time/Image: 0.6734
2022-03-17 19:24:19,125 INFO Epochs [11/128] Iter [7980/90000] loss_GTA: 0.1330 loss: 0.0131 Time/Image: 0.6722
2022-03-17 19:25:15,261 INFO Epochs [11/128] Iter [8000/90000] loss_GTA: 0.1503 loss: 0.0237 Time/Image: 0.6968
2022-03-17 19:25:15,261 INFO learning rate is 0.0055179148227421995 for ResNet101 net
2022-03-17 19:25:15,263 INFO Successfully set the model eval mode
2022-03-17 19:54:36,165 INFO Overall Acc: : 0.910899788848205
2022-03-17 19:54:36,166 INFO Mean Acc : : 0.6848084597123695
2022-03-17 19:54:36,166 INFO FreqW Acc : : 0.8417336793004244
2022-03-17 19:54:36,166 INFO Mean IoU : : 0.5712420700329347
2022-03-17 19:54:36,166 INFO 0: 0.9277922883047027
2022-03-17 19:54:36,166 INFO 1: 0.5532933747882542
2022-03-17 19:54:36,166 INFO 2: 0.852378132649766
2022-03-17 19:54:36,166 INFO 3: 0.3796250927936744
2022-03-17 19:54:36,166 INFO 4: 0.273706274327646
2022-03-17 19:54:36,167 INFO 5: 0.4634399062030429
2022-03-17 19:54:36,167 INFO 6: 0.5585888136749618
2022-03-17 19:54:36,167 INFO 7: 0.5075497499528392
2022-03-17 19:54:36,167 INFO 8: 0.8793970911215038
2022-03-17 19:54:36,167 INFO 9: 0.46064485896617213
2022-03-17 19:54:36,167 INFO 10: 0.8416272781944424
2022-03-17 19:54:36,167 INFO 11: 0.6989458444923702
2022-03-17 19:54:36,167 INFO 12: 0.3198700286857669
2022-03-17 19:54:36,167 INFO 13: 0.8775364372150172
2022-03-17 19:54:36,167 INFO 14: 0.40846246319205787
2022-03-17 19:54:36,167 INFO 15: 0.6361932016913466
2022-03-17 19:54:36,167 INFO 16: 0.23155262620479494
2022-03-17 19:54:36,167 INFO 17: 0.47167958068690674
2022-03-17 19:54:36,167 INFO 18: 0.5113162874804921
2022-03-17 19:54:37,398 INFO Best iou until now is 0.5777413421290586
2022-03-17 19:55:31,590 INFO Epochs [11/128] Iter [8020/90000] loss_GTA: 0.1716 loss: 0.0015 Time/Image: 0.6688
2022-03-17 19:56:25,568 INFO Epochs [11/128] Iter [8040/90000] loss_GTA: 0.2061 loss: -0.0081 Time/Image: 0.6698
2022-03-17 19:57:19,541 INFO Epochs [11/128] Iter [8060/90000] loss_GTA: 0.1028 loss: -0.0321 Time/Image: 0.6698
2022-03-17 19:58:13,689 INFO Epochs [11/128] Iter [8080/90000] loss_GTA: 0.1558 loss: -0.0386 Time/Image: 0.6720
2022-03-17 19:59:07,808 INFO Epochs [11/128] Iter [8100/90000] loss_GTA: 0.1519 loss: -0.0418 Time/Image: 0.6716
2022-03-17 20:00:07,726 INFO Epochs [11/128] Iter [8120/90000] loss_GTA: 0.1428 loss: -0.0383 Time/Image: 0.7440
2022-03-17 20:01:05,537 INFO Epochs [11/128] Iter [8140/90000] loss_GTA: 0.1743 loss: -0.0197 Time/Image: 0.7176
2022-03-17 20:02:05,413 INFO Epochs [11/128] Iter [8160/90000] loss_GTA: 0.2731 loss: -0.0077 Time/Image: 0.7436
2022-03-17 20:03:03,250 INFO Epochs [12/128] Iter [8180/90000] loss_GTA: 0.0644 loss: -0.0066 Time/Image: 0.6716
2022-03-17 20:03:57,316 INFO Epochs [12/128] Iter [8200/90000] loss_GTA: 0.1197 loss: -0.0004 Time/Image: 0.6709
2022-03-17 20:04:51,391 INFO Epochs [12/128] Iter [8220/90000] loss_GTA: 0.0740 loss: 0.0225 Time/Image: 0.6711
2022-03-17 20:05:45,447 INFO Epochs [12/128] Iter [8240/90000] loss_GTA: 0.1167 loss: 0.0086 Time/Image: 0.6708
2022-03-17 20:06:39,596 INFO Epochs [12/128] Iter [8260/90000] loss_GTA: 0.1084 loss: -0.0306 Time/Image: 0.6721
2022-03-17 20:07:33,778 INFO Epochs [12/128] Iter [8280/90000] loss_GTA: 0.1592 loss: -0.0323 Time/Image: 0.6723
2022-03-17 20:08:27,936 INFO Epochs [12/128] Iter [8300/90000] loss_GTA: 0.2273 loss: 0.0383 Time/Image: 0.6721
2022-03-17 20:09:22,150 INFO Epochs [12/128] Iter [8320/90000] loss_GTA: 0.1961 loss: -0.0329 Time/Image: 0.6729
2022-03-17 20:10:16,386 INFO Epochs [12/128] Iter [8340/90000] loss_GTA: 0.3071 loss: -0.0164 Time/Image: 0.6731
2022-03-17 20:11:10,486 INFO Epochs [12/128] Iter [8360/90000] loss_GTA: 0.2073 loss: -0.0043 Time/Image: 0.6713
2022-03-17 20:12:04,594 INFO Epochs [12/128] Iter [8380/90000] loss_GTA: 0.4646 loss: -0.0216 Time/Image: 0.6716
2022-03-17 20:12:58,727 INFO Epochs [12/128] Iter [8400/90000] loss_GTA: 0.2244 loss: -0.0061 Time/Image: 0.6718
2022-03-17 20:13:52,744 INFO Epochs [12/128] Iter [8420/90000] loss_GTA: 0.1012 loss: -0.0317 Time/Image: 0.6704
2022-03-17 20:14:46,830 INFO Epochs [12/128] Iter [8440/90000] loss_GTA: 0.1666 loss: -0.0148 Time/Image: 0.6713
2022-03-17 20:15:40,911 INFO Epochs [12/128] Iter [8460/90000] loss_GTA: 0.1277 loss: 0.0512 Time/Image: 0.6712
2022-03-17 20:16:35,040 INFO Epochs [12/128] Iter [8480/90000] loss_GTA: 0.2121 loss: 0.0275 Time/Image: 0.6717
2022-03-17 20:17:31,544 INFO Epochs [12/128] Iter [8500/90000] loss_GTA: 0.2373 loss: -0.0012 Time/Image: 0.7014
2022-03-17 20:18:25,793 INFO Epochs [12/128] Iter [8520/90000] loss_GTA: 0.1603 loss: -0.0004 Time/Image: 0.6733
2022-03-17 20:20:08,647 INFO Epochs [12/128] Iter [8540/90000] loss_GTA: 0.1778 loss: -0.0333 Time/Image: 1.2800
2022-03-17 20:21:06,427 INFO Epochs [12/128] Iter [8560/90000] loss_GTA: 0.2105 loss: -0.0370 Time/Image: 0.7173
2022-03-17 20:22:00,440 INFO Epochs [12/128] Iter [8580/90000] loss_GTA: 0.1413 loss: 0.0105 Time/Image: 0.6705
2022-03-17 20:23:49,671 INFO Epochs [12/128] Iter [8600/90000] loss_GTA: 0.1871 loss: -0.0130 Time/Image: 1.3602
2022-03-17 20:25:30,114 INFO Epochs [12/128] Iter [8620/90000] loss_GTA: 0.1700 loss: -0.0303 Time/Image: 1.2505
2022-03-17 20:27:46,560 INFO Epochs [12/128] Iter [8640/90000] loss_GTA: 0.1411 loss: 0.0050 Time/Image: 1.5008
2022-03-17 20:29:38,671 INFO Epochs [12/128] Iter [8660/90000] loss_GTA: 0.2315 loss: -0.0197 Time/Image: 1.3964
2022-03-17 20:31:37,456 INFO Epochs [12/128] Iter [8680/90000] loss_GTA: 0.3917 loss: 0.0605 Time/Image: 1.4355
2022-03-17 20:35:51,105 INFO Epochs [12/128] Iter [8700/90000] loss_GTA: 0.1173 loss: 0.0033 Time/Image: 1.6257
2022-03-17 20:40:26,727 INFO Epochs [12/128] Iter [8720/90000] loss_GTA: 0.1801 loss: -0.0143 Time/Image: 2.2830
2022-03-17 20:44:55,391 INFO Epochs [12/128] Iter [8740/90000] loss_GTA: 0.2235 loss: -0.0153 Time/Image: 1.6079
2022-03-17 20:47:33,377 INFO Epochs [12/128] Iter [8760/90000] loss_GTA: 0.1648 loss: -0.0017 Time/Image: 1.6301
2022-03-17 20:52:16,311 INFO Epochs [12/128] Iter [8780/90000] loss_GTA: 0.1336 loss: 0.1950 Time/Image: 2.2356
2022-03-17 20:55:00,050 INFO Epochs [12/128] Iter [8800/90000] loss_GTA: 0.2033 loss: -0.0396 Time/Image: 1.5909
2022-03-17 20:56:56,928 INFO Epochs [12/128] Iter [8820/90000] loss_GTA: 0.1195 loss: -0.0204 Time/Image: 1.1027
2022-03-17 20:58:16,589 INFO Epochs [12/128] Iter [8840/90000] loss_GTA: 0.1279 loss: -0.0364 Time/Image: 0.9909
2022-03-17 20:59:46,045 INFO Epochs [12/128] Iter [8860/90000] loss_GTA: 0.1630 loss: -0.0457 Time/Image: 1.1131
2022-03-17 21:00:42,564 INFO Epochs [12/128] Iter [8880/90000] loss_GTA: 0.1735 loss: -0.0453 Time/Image: 0.7017
2022-03-17 21:04:50,974 INFO Epochs [12/128] Iter [8900/90000] loss_GTA: 0.0908 loss: 0.2202 Time/Image: 2.3946
2022-03-17 21:06:46,639 INFO Epochs [13/128] Iter [8920/90000] loss_GTA: 0.1634 loss: 0.0222 Time/Image: 1.3984
2022-03-17 21:07:40,355 INFO Epochs [13/128] Iter [8940/90000] loss_GTA: 0.1015 loss: -0.0431 Time/Image: 0.6667
2022-03-17 21:08:34,678 INFO Epochs [13/128] Iter [8960/90000] loss_GTA: 0.2283 loss: -0.0282 Time/Image: 0.6741
2022-03-17 21:09:28,918 INFO Epochs [13/128] Iter [8980/90000] loss_GTA: 0.3681 loss: -0.0284 Time/Image: 0.6731
2022-03-17 21:10:23,071 INFO Epochs [13/128] Iter [9000/90000] loss_GTA: 0.1533 loss: 0.0260 Time/Image: 0.6720
2022-03-17 21:10:23,071 INFO learning rate is 0.005457316727358201 for ResNet101 net
2022-03-17 21:10:23,076 INFO Successfully set the model eval mode
2022-03-17 21:15:28,399 INFO Overall Acc: : 0.90861535181108
2022-03-17 21:15:28,400 INFO Mean Acc : : 0.7155517642928967
2022-03-17 21:15:28,400 INFO FreqW Acc : : 0.8400240656967234
2022-03-17 21:15:28,400 INFO Mean IoU : : 0.5873661318020795
2022-03-17 21:15:28,401 INFO 0: 0.9211666772968016
2022-03-17 21:15:28,401 INFO 1: 0.5630798253683349
2022-03-17 21:15:28,401 INFO 2: 0.841906776889449
2022-03-17 21:15:28,401 INFO 3: 0.3999232409052016
2022-03-17 21:15:28,401 INFO 4: 0.3189304439591876
2022-03-17 21:15:28,401 INFO 5: 0.47746536154619773
2022-03-17 21:15:28,401 INFO 6: 0.573452089231098
2022-03-17 21:15:28,401 INFO 7: 0.5350429471313186
2022-03-17 21:15:28,401 INFO 8: 0.8825269432782958
2022-03-17 21:15:28,401 INFO 9: 0.48683870384107747
2022-03-17 21:15:28,401 INFO 10: 0.8222255372848727
2022-03-17 21:15:28,401 INFO 11: 0.7106873893932074
2022-03-17 21:15:28,401 INFO 12: 0.3380792392670229
2022-03-17 21:15:28,401 INFO 13: 0.8891370056691583
2022-03-17 21:15:28,402 INFO 14: 0.4344776995125889
2022-03-17 21:15:28,402 INFO 15: 0.6592452856489043
2022-03-17 21:15:28,402 INFO 16: 0.2467192841352756
2022-03-17 21:15:28,402 INFO 17: 0.49850736222128733
2022-03-17 21:15:28,402 INFO 18: 0.5605446916602315
2022-03-17 21:15:31,001 INFO Best iou until now is 0.5873661318020795
2022-03-17 21:16:25,177 INFO Epochs [13/128] Iter [9020/90000] loss_GTA: 0.1262 loss: -0.0120 Time/Image: 0.6708
2022-03-17 21:17:19,342 INFO Epochs [13/128] Iter [9040/90000] loss_GTA: 0.1860 loss: -0.0094 Time/Image: 0.6722
2022-03-17 21:18:13,530 INFO Epochs [13/128] Iter [9060/90000] loss_GTA: 0.1197 loss: -0.0076 Time/Image: 0.6725
2022-03-17 21:19:07,657 INFO Epochs [13/128] Iter [9080/90000] loss_GTA: 0.1225 loss: -0.0263 Time/Image: 0.6717
2022-03-17 21:20:01,846 INFO Epochs [13/128] Iter [9100/90000] loss_GTA: 0.1181 loss: 0.0245 Time/Image: 0.6726
2022-03-17 21:20:55,913 INFO Epochs [13/128] Iter [9120/90000] loss_GTA: 0.1166 loss: -0.0112 Time/Image: 0.6710
2022-03-17 21:21:50,017 INFO Epochs [13/128] Iter [9140/90000] loss_GTA: 0.0937 loss: -0.0213 Time/Image: 0.6714
2022-03-17 21:22:44,231 INFO Epochs [13/128] Iter [9160/90000] loss_GTA: 0.2214 loss: 0.0203 Time/Image: 0.6727
2022-03-17 21:23:38,395 INFO Epochs [13/128] Iter [9180/90000] loss_GTA: 0.2314 loss: -0.0209 Time/Image: 0.6722
2022-03-17 21:24:32,730 INFO Epochs [13/128] Iter [9200/90000] loss_GTA: 0.1979 loss: 0.0045 Time/Image: 0.6744
2022-03-17 21:25:26,938 INFO Epochs [13/128] Iter [9220/90000] loss_GTA: 0.1953 loss: -0.0057 Time/Image: 0.6727
2022-03-17 21:26:21,110 INFO Epochs [13/128] Iter [9240/90000] loss_GTA: 0.1965 loss: -0.0041 Time/Image: 0.6723
2022-03-17 21:27:15,258 INFO Epochs [13/128] Iter [9260/90000] loss_GTA: 0.3008 loss: -0.0254 Time/Image: 0.6719
2022-03-17 21:28:09,497 INFO Epochs [13/128] Iter [9280/90000] loss_GTA: 0.3309 loss: -0.0419 Time/Image: 0.6731
2022-03-17 21:29:03,694 INFO Epochs [13/128] Iter [9300/90000] loss_GTA: 0.1153 loss: -0.0394 Time/Image: 0.6725
2022-03-17 21:29:57,926 INFO Epochs [13/128] Iter [9320/90000] loss_GTA: 0.0899 loss: -0.0222 Time/Image: 0.6731
2022-03-17 21:30:51,951 INFO Epochs [13/128] Iter [9340/90000] loss_GTA: 0.1393 loss: 0.6486 Time/Image: 0.6704
2022-03-17 21:31:46,100 INFO Epochs [13/128] Iter [9360/90000] loss_GTA: 0.1384 loss: -0.0369 Time/Image: 0.6719
2022-03-17 21:32:40,281 INFO Epochs [13/128] Iter [9380/90000] loss_GTA: 0.3813 loss: -0.0075 Time/Image: 0.6724
2022-03-17 21:33:34,518 INFO Epochs [13/128] Iter [9400/90000] loss_GTA: 0.1367 loss: -0.0362 Time/Image: 0.6732
2022-03-17 21:34:28,809 INFO Epochs [13/128] Iter [9420/90000] loss_GTA: 0.1142 loss: -0.0358 Time/Image: 0.6737
2022-03-17 21:35:22,852 INFO Epochs [13/128] Iter [9440/90000] loss_GTA: 0.1760 loss: -0.0329 Time/Image: 0.6707
2022-03-17 21:36:16,923 INFO Epochs [13/128] Iter [9460/90000] loss_GTA: 0.0763 loss: 0.0477 Time/Image: 0.6710
2022-03-17 21:37:11,007 INFO Epochs [13/128] Iter [9480/90000] loss_GTA: 0.1937 loss: -0.0310 Time/Image: 0.6712
2022-03-17 21:38:05,148 INFO Epochs [13/128] Iter [9500/90000] loss_GTA: 0.1553 loss: 0.0245 Time/Image: 0.6719
2022-03-17 21:38:59,244 INFO Epochs [13/128] Iter [9520/90000] loss_GTA: 0.0904 loss: -0.0294 Time/Image: 0.6714
2022-03-17 21:39:53,352 INFO Epochs [13/128] Iter [9540/90000] loss_GTA: 0.1032 loss: 0.0102 Time/Image: 0.6714
2022-03-17 21:40:47,625 INFO Epochs [13/128] Iter [9560/90000] loss_GTA: 0.3280 loss: -0.0243 Time/Image: 0.6736
2022-03-17 21:41:41,734 INFO Epochs [13/128] Iter [9580/90000] loss_GTA: 0.1852 loss: -0.0362 Time/Image: 0.6715
2022-03-17 21:42:35,835 INFO Epochs [13/128] Iter [9600/90000] loss_GTA: 0.1575 loss: -0.0264 Time/Image: 0.6714
2022-03-17 21:43:29,970 INFO Epochs [13/128] Iter [9620/90000] loss_GTA: 0.1128 loss: -0.0357 Time/Image: 0.6719
2022-03-17 21:44:24,078 INFO Epochs [13/128] Iter [9640/90000] loss_GTA: 0.1186 loss: -0.0272 Time/Image: 0.6715
2022-03-17 21:45:18,188 INFO Epochs [13/128] Iter [9660/90000] loss_GTA: 0.1061 loss: 0.0021 Time/Image: 0.6716
2022-03-17 21:46:15,288 INFO Epochs [14/128] Iter [9680/90000] loss_GTA: 0.0966 loss: -0.0426 Time/Image: 0.6719
2022-03-17 21:47:09,517 INFO Epochs [14/128] Iter [9700/90000] loss_GTA: 0.1280 loss: -0.0203 Time/Image: 0.6731
2022-03-17 21:48:03,689 INFO Epochs [14/128] Iter [9720/90000] loss_GTA: 0.0740 loss: -0.0018 Time/Image: 0.6722
2022-03-17 21:48:57,802 INFO Epochs [14/128] Iter [9740/90000] loss_GTA: 0.1318 loss: 0.0110 Time/Image: 0.6716
2022-03-17 21:49:51,976 INFO Epochs [14/128] Iter [9760/90000] loss_GTA: 0.1641 loss: -0.0109 Time/Image: 0.6723
2022-03-17 21:50:46,107 INFO Epochs [14/128] Iter [9780/90000] loss_GTA: 0.1046 loss: -0.0339 Time/Image: 0.6719
2022-03-17 21:51:40,239 INFO Epochs [14/128] Iter [9800/90000] loss_GTA: 0.1443 loss: 0.3195 Time/Image: 0.6719
2022-03-17 21:52:34,361 INFO Epochs [14/128] Iter [9820/90000] loss_GTA: 0.2427 loss: -0.0402 Time/Image: 0.6718
2022-03-17 21:53:28,508 INFO Epochs [14/128] Iter [9840/90000] loss_GTA: 0.3079 loss: -0.0111 Time/Image: 0.6720
2022-03-17 21:54:22,748 INFO Epochs [14/128] Iter [9860/90000] loss_GTA: 0.1130 loss: -0.0233 Time/Image: 0.6732
2022-03-17 21:55:16,988 INFO Epochs [14/128] Iter [9880/90000] loss_GTA: 0.1210 loss: -0.0031 Time/Image: 0.6730
2022-03-17 21:56:11,256 INFO Epochs [14/128] Iter [9900/90000] loss_GTA: 0.1413 loss: -0.0187 Time/Image: 0.6733
2022-03-17 21:57:05,454 INFO Epochs [14/128] Iter [9920/90000] loss_GTA: 0.0718 loss: -0.0291 Time/Image: 0.6726
2022-03-17 21:57:59,648 INFO Epochs [14/128] Iter [9940/90000] loss_GTA: 0.1310 loss: -0.0151 Time/Image: 0.6725
2022-03-17 21:58:53,881 INFO Epochs [14/128] Iter [9960/90000] loss_GTA: 0.0934 loss: -0.0401 Time/Image: 0.6731
2022-03-17 21:59:48,024 INFO Epochs [14/128] Iter [9980/90000] loss_GTA: 0.2050 loss: -0.0148 Time/Image: 0.6719
2022-03-17 22:00:42,228 INFO Epochs [14/128] Iter [10000/90000] loss_GTA: 0.1049 loss: -0.0188 Time/Image: 0.6726
2022-03-17 22:00:42,228 INFO learning rate is 0.005396643773162781 for ResNet101 net
2022-03-17 22:00:42,230 INFO Successfully set the model eval mode
2022-03-17 22:10:40,638 INFO Overall Acc: : 0.9004995863284061
2022-03-17 22:10:40,639 INFO Mean Acc : : 0.6978486803546581
2022-03-17 22:10:40,639 INFO FreqW Acc : : 0.8253577730820518
2022-03-17 22:10:40,639 INFO Mean IoU : : 0.5735160137719407
2022-03-17 22:10:40,639 INFO 0: 0.8982074858163921
2022-03-17 22:10:40,639 INFO 1: 0.5980701991028757
2022-03-17 22:10:40,639 INFO 2: 0.8099750778218322
2022-03-17 22:10:40,639 INFO 3: 0.4487406119858161
2022-03-17 22:10:40,639 INFO 4: 0.31297786237833697
2022-03-17 22:10:40,639 INFO 5: 0.4868985402998842
2022-03-17 22:10:40,639 INFO 6: 0.5514494496691943
2022-03-17 22:10:40,639 INFO 7: 0.5414924330251591
2022-03-17 22:10:40,639 INFO 8: 0.8778167500121282
2022-03-17 22:10:40,639 INFO 9: 0.4710857222752666
2022-03-17 22:10:40,639 INFO 10: 0.8359751044031594
2022-03-17 22:10:40,639 INFO 11: 0.7043431690569167
2022-03-17 22:10:40,639 INFO 12: 0.2748658969456471
2022-03-17 22:10:40,639 INFO 13: 0.8872125158894121
2022-03-17 22:10:40,639 INFO 14: 0.4611105089300883
2022-03-17 22:10:40,639 INFO 15: 0.624364658489829
2022-03-17 22:10:40,639 INFO 16: 0.19984196849688146
2022-03-17 22:10:40,639 INFO 17: 0.40066444120645966
2022-03-17 22:10:40,639 INFO 18: 0.5117118658615958
2022-03-17 22:10:41,662 INFO Best iou until now is 0.5873661318020795
2022-03-17 22:11:36,141 INFO Epochs [14/128] Iter [10020/90000] loss_GTA: 0.0810 loss: -0.0362 Time/Image: 0.6719
2022-03-17 22:12:30,211 INFO Epochs [14/128] Iter [10040/90000] loss_GTA: 0.2747 loss: 0.0296 Time/Image: 0.6710
2022-03-17 22:13:24,348 INFO Epochs [14/128] Iter [10060/90000] loss_GTA: 0.1146 loss: 0.0101 Time/Image: 0.6717
2022-03-17 22:14:18,474 INFO Epochs [14/128] Iter [10080/90000] loss_GTA: 0.1742 loss: 0.0188 Time/Image: 0.6717
2022-03-17 22:15:12,661 INFO Epochs [14/128] Iter [10100/90000] loss_GTA: 0.1198 loss: -0.0309 Time/Image: 0.6725
2022-03-17 22:16:06,748 INFO Epochs [14/128] Iter [10120/90000] loss_GTA: 0.1210 loss: -0.0168 Time/Image: 0.6714
2022-03-17 22:17:00,835 INFO Epochs [14/128] Iter [10140/90000] loss_GTA: 0.1577 loss: -0.0349 Time/Image: 0.6713
2022-03-17 22:17:54,922 INFO Epochs [14/128] Iter [10160/90000] loss_GTA: 1.1627 loss: 0.0975 Time/Image: 0.6712
2022-03-17 22:18:49,222 INFO Epochs [14/128] Iter [10180/90000] loss_GTA: 0.2480 loss: 0.1794 Time/Image: 0.6738
2022-03-17 22:19:43,369 INFO Epochs [14/128] Iter [10200/90000] loss_GTA: 0.2054 loss: -0.0171 Time/Image: 0.6720
2022-03-17 22:20:38,229 INFO Epochs [14/128] Iter [10220/90000] loss_GTA: 0.1012 loss: -0.0258 Time/Image: 0.6809
2022-03-17 22:21:32,192 INFO Epochs [14/128] Iter [10240/90000] loss_GTA: 0.2098 loss: -0.0292 Time/Image: 0.6696
2022-03-17 22:22:29,060 INFO Epochs [14/128] Iter [10260/90000] loss_GTA: 0.1684 loss: -0.0300 Time/Image: 0.7059
2022-03-17 22:23:27,432 INFO Epochs [14/128] Iter [10280/90000] loss_GTA: 0.0932 loss: 0.4510 Time/Image: 0.7247
2022-03-17 22:24:23,303 INFO Epochs [14/128] Iter [10300/90000] loss_GTA: 0.1967 loss: -0.0218 Time/Image: 0.6935
2022-03-17 22:25:19,362 INFO Epochs [14/128] Iter [10320/90000] loss_GTA: 0.4106 loss: -0.0171 Time/Image: 0.6959
2022-03-17 22:26:35,663 INFO Epochs [14/128] Iter [10340/90000] loss_GTA: 0.1587 loss: -0.0193 Time/Image: 0.9487
2022-03-17 22:28:17,733 INFO Epochs [14/128] Iter [10360/90000] loss_GTA: 0.1330 loss: -0.0262 Time/Image: 1.2707
2022-03-17 22:29:39,196 INFO Epochs [14/128] Iter [10380/90000] loss_GTA: 0.2618 loss: -0.0266 Time/Image: 1.0131
2022-03-17 22:31:17,697 INFO Epochs [14/128] Iter [10400/90000] loss_GTA: 0.3245 loss: 0.0366 Time/Image: 1.1292
2022-03-17 22:32:30,302 INFO Epochs [15/128] Iter [10420/90000] loss_GTA: 0.1715 loss: -0.0002 Time/Image: 0.7499
2022-03-17 22:33:24,279 INFO Epochs [15/128] Iter [10440/90000] loss_GTA: 0.3406 loss: -0.0356 Time/Image: 0.6699
2022-03-17 22:34:18,248 INFO Epochs [15/128] Iter [10460/90000] loss_GTA: 0.2114 loss: 0.0947 Time/Image: 0.6698
2022-03-17 22:35:12,224 INFO Epochs [15/128] Iter [10480/90000] loss_GTA: 0.2977 loss: -0.0175 Time/Image: 0.6699
2022-03-17 22:36:06,308 INFO Epochs [15/128] Iter [10500/90000] loss_GTA: 0.1253 loss: 0.0058 Time/Image: 0.6711
2022-03-17 22:37:00,542 INFO Epochs [15/128] Iter [10520/90000] loss_GTA: 0.2243 loss: -0.0354 Time/Image: 0.6731
2022-03-17 22:37:54,674 INFO Epochs [15/128] Iter [10540/90000] loss_GTA: 0.1254 loss: -0.0376 Time/Image: 0.6718
2022-03-17 22:38:48,829 INFO Epochs [15/128] Iter [10560/90000] loss_GTA: 0.1115 loss: -0.0321 Time/Image: 0.6721
2022-03-17 22:39:42,925 INFO Epochs [15/128] Iter [10580/90000] loss_GTA: 0.0329 loss: -0.0233 Time/Image: 0.6714
2022-03-17 22:40:37,007 INFO Epochs [15/128] Iter [10600/90000] loss_GTA: 0.1309 loss: -0.0356 Time/Image: 0.6712
2022-03-17 22:41:31,081 INFO Epochs [15/128] Iter [10620/90000] loss_GTA: 0.5616 loss: 0.0236 Time/Image: 0.6711
2022-03-17 22:42:25,188 INFO Epochs [15/128] Iter [10640/90000] loss_GTA: 0.4360 loss: -0.0365 Time/Image: 0.6716
2022-03-17 22:43:19,320 INFO Epochs [15/128] Iter [10660/90000] loss_GTA: 0.1255 loss: -0.0305 Time/Image: 0.6718
2022-03-17 22:44:13,349 INFO Epochs [15/128] Iter [10680/90000] loss_GTA: 0.2263 loss: 0.0432 Time/Image: 0.6706
2022-03-17 22:45:07,537 INFO Epochs [15/128] Iter [10700/90000] loss_GTA: 0.2366 loss: 0.3183 Time/Image: 0.6725
2022-03-17 22:46:01,662 INFO Epochs [15/128] Iter [10720/90000] loss_GTA: 0.1983 loss: -0.0462 Time/Image: 0.6718
2022-03-17 22:46:55,925 INFO Epochs [15/128] Iter [10740/90000] loss_GTA: 0.0363 loss: -0.0318 Time/Image: 0.6734
2022-03-17 22:47:50,241 INFO Epochs [15/128] Iter [10760/90000] loss_GTA: 0.1339 loss: 0.0343 Time/Image: 0.6739
2022-03-17 22:48:49,156 INFO Epochs [15/128] Iter [10780/90000] loss_GTA: 0.2808 loss: -0.0400 Time/Image: 0.7314
2022-03-17 22:49:43,492 INFO Epochs [15/128] Iter [10800/90000] loss_GTA: 0.2463 loss: 0.0627 Time/Image: 0.6744
2022-03-17 22:51:02,277 INFO Epochs [15/128] Iter [10820/90000] loss_GTA: 0.1484 loss: 0.0158 Time/Image: 0.9796
2022-03-17 22:52:02,166 INFO Epochs [15/128] Iter [10840/90000] loss_GTA: 0.0687 loss: -0.0429 Time/Image: 0.7438
2022-03-17 22:52:56,257 INFO Epochs [15/128] Iter [10860/90000] loss_GTA: 0.0942 loss: -0.0282 Time/Image: 0.6712
2022-03-17 22:54:15,889 INFO Epochs [15/128] Iter [10880/90000] loss_GTA: 0.1426 loss: 0.0369 Time/Image: 0.9902
2022-03-17 22:56:11,708 INFO Epochs [15/128] Iter [10900/90000] loss_GTA: 0.1193 loss: -0.0349 Time/Image: 1.4424
2022-03-17 22:58:17,193 INFO Epochs [15/128] Iter [10920/90000] loss_GTA: 0.1051 loss: -0.0147 Time/Image: 1.3158
2022-03-17 23:00:30,139 INFO Epochs [15/128] Iter [10940/90000] loss_GTA: 0.1482 loss: -0.0404 Time/Image: 1.3169
2022-03-17 23:02:48,178 INFO Epochs [15/128] Iter [10960/90000] loss_GTA: 0.1214 loss: -0.0146 Time/Image: 1.3820
2022-03-17 23:04:31,125 INFO Epochs [15/128] Iter [10980/90000] loss_GTA: 0.1348 loss: -0.0197 Time/Image: 1.2818
2022-03-17 23:06:04,096 INFO Epochs [15/128] Iter [11000/90000] loss_GTA: 0.0982 loss: 0.0134 Time/Image: 1.1571
2022-03-17 23:06:04,096 INFO learning rate is 0.005335894930176113 for ResNet101 net
2022-03-17 23:06:04,098 INFO Successfully set the model eval mode
2022-03-17 23:44:05,855 INFO Overall Acc: : 0.9109149183141497
2022-03-17 23:44:05,856 INFO Mean Acc : : 0.7155732115184337
2022-03-17 23:44:05,856 INFO FreqW Acc : : 0.8448363239864253
2022-03-17 23:44:05,856 INFO Mean IoU : : 0.569244423126547
2022-03-17 23:44:05,856 INFO 0: 0.9258607096643705
2022-03-17 23:44:05,856 INFO 1: 0.5965635031033408
2022-03-17 23:44:05,856 INFO 2: 0.8505456234953896
2022-03-17 23:44:05,856 INFO 3: 0.3503670387451467
2022-03-17 23:44:05,856 INFO 4: 0.31015136283508427
2022-03-17 23:44:05,856 INFO 5: 0.4859523611129034
2022-03-17 23:44:05,856 INFO 6: 0.5582953436727339
2022-03-17 23:44:05,856 INFO 7: 0.532907599454401
2022-03-17 23:44:05,856 INFO 8: 0.8797522945691783
2022-03-17 23:44:05,856 INFO 9: 0.4687093351147491
2022-03-17 23:44:05,856 INFO 10: 0.8411957251954509
2022-03-17 23:44:05,856 INFO 11: 0.6891954733409368
2022-03-17 23:44:05,857 INFO 12: 0.3294195686705592
2022-03-17 23:44:05,857 INFO 13: 0.8973349433512888
2022-03-17 23:44:05,857 INFO 14: 0.43038054196861997
2022-03-17 23:44:05,857 INFO 15: 0.6046731239385627
2022-03-17 23:44:05,857 INFO 16: 0.14499419187668097
2022-03-17 23:44:05,857 INFO 17: 0.37407018934525127
2022-03-17 23:44:05,857 INFO 18: 0.5452751099497459
2022-03-17 23:44:06,989 INFO Best iou until now is 0.5873661318020795
2022-03-17 23:45:42,638 INFO Epochs [15/128] Iter [11020/90000] loss_GTA: 0.1789 loss: 0.1175 Time/Image: 1.1871
2022-03-17 23:50:26,296 INFO Epochs [15/128] Iter [11040/90000] loss_GTA: 0.1367 loss: -0.0295 Time/Image: 2.2307
2022-03-17 23:52:51,966 INFO Epochs [15/128] Iter [11060/90000] loss_GTA: 0.1727 loss: -0.0106 Time/Image: 1.7940
2022-03-17 23:56:17,098 INFO Epochs [15/128] Iter [11080/90000] loss_GTA: 0.1303 loss: -0.0330 Time/Image: 1.7021
2022-03-17 23:59:21,916 INFO Epochs [15/128] Iter [11100/90000] loss_GTA: 0.4914 loss: -0.0309 Time/Image: 1.7342
2022-03-18 00:01:32,475 INFO Epochs [15/128] Iter [11120/90000] loss_GTA: 0.0440 loss: -0.0448 Time/Image: 1.6256
2022-03-18 00:04:26,324 INFO Epochs [15/128] Iter [11140/90000] loss_GTA: 0.1913 loss: 0.0378 Time/Image: 1.3819
2022-03-18 00:05:36,627 INFO Epochs [16/128] Iter [11160/90000] loss_GTA: 0.1188 loss: 0.0067 Time/Image: 0.8099
2022-03-18 00:06:30,590 INFO Epochs [16/128] Iter [11180/90000] loss_GTA: 0.1148 loss: -0.0311 Time/Image: 0.6698
2022-03-18 00:07:24,544 INFO Epochs [16/128] Iter [11200/90000] loss_GTA: 0.0716 loss: -0.0385 Time/Image: 0.6697
2022-03-18 00:08:18,456 INFO Epochs [16/128] Iter [11220/90000] loss_GTA: 0.0919 loss: -0.0194 Time/Image: 0.6692
2022-03-18 00:09:12,287 INFO Epochs [16/128] Iter [11240/90000] loss_GTA: 0.2689 loss: -0.0318 Time/Image: 0.6682
2022-03-18 00:10:06,077 INFO Epochs [16/128] Iter [11260/90000] loss_GTA: 0.0637 loss: -0.0439 Time/Image: 0.6677
2022-03-18 00:10:59,815 INFO Epochs [16/128] Iter [11280/90000] loss_GTA: 0.0829 loss: 0.4401 Time/Image: 0.6670
2022-03-18 00:11:53,438 INFO Epochs [16/128] Iter [11300/90000] loss_GTA: 0.1765 loss: 0.1489 Time/Image: 0.6656
2022-03-18 00:12:47,174 INFO Epochs [16/128] Iter [11320/90000] loss_GTA: 0.1091 loss: 0.0626 Time/Image: 0.6669
2022-03-18 00:13:40,829 INFO Epochs [16/128] Iter [11340/90000] loss_GTA: 0.1636 loss: -0.0102 Time/Image: 0.6660
2022-03-18 00:14:34,567 INFO Epochs [16/128] Iter [11360/90000] loss_GTA: 0.0791 loss: -0.0250 Time/Image: 0.6671
2022-03-18 00:15:28,304 INFO Epochs [16/128] Iter [11380/90000] loss_GTA: 0.1927 loss: -0.0381 Time/Image: 0.6671
2022-03-18 00:16:22,010 INFO Epochs [16/128] Iter [11400/90000] loss_GTA: 0.1843 loss: 0.0897 Time/Image: 0.6667
2022-03-18 00:17:15,635 INFO Epochs [16/128] Iter [11420/90000] loss_GTA: 0.1880 loss: -0.0386 Time/Image: 0.6657
2022-03-18 00:18:09,348 INFO Epochs [16/128] Iter [11440/90000] loss_GTA: 0.1101 loss: 0.0357 Time/Image: 0.6668
2022-03-18 00:19:02,999 INFO Epochs [16/128] Iter [11460/90000] loss_GTA: 0.2976 loss: -0.0383 Time/Image: 0.6660
2022-03-18 00:19:56,702 INFO Epochs [16/128] Iter [11480/90000] loss_GTA: 0.1271 loss: -0.0248 Time/Image: 0.6666
2022-03-18 00:20:50,324 INFO Epochs [16/128] Iter [11500/90000] loss_GTA: 0.1123 loss: 0.1643 Time/Image: 0.6656
2022-03-18 00:21:44,066 INFO Epochs [16/128] Iter [11520/90000] loss_GTA: 0.1244 loss: 0.0471 Time/Image: 0.6671
2022-03-18 00:22:37,844 INFO Epochs [16/128] Iter [11540/90000] loss_GTA: 0.1779 loss: -0.0150 Time/Image: 0.6676
2022-03-18 00:23:31,694 INFO Epochs [16/128] Iter [11560/90000] loss_GTA: 0.1411 loss: -0.0000 Time/Image: 0.6684
2022-03-18 00:24:25,534 INFO Epochs [16/128] Iter [11580/90000] loss_GTA: 0.1748 loss: 0.0004 Time/Image: 0.6683
2022-03-18 00:25:19,211 INFO Epochs [16/128] Iter [11600/90000] loss_GTA: 0.3591 loss: -0.0301 Time/Image: 0.6663
2022-03-18 00:26:12,908 INFO Epochs [16/128] Iter [11620/90000] loss_GTA: 0.1249 loss: -0.0316 Time/Image: 0.6666
2022-03-18 00:27:06,639 INFO Epochs [16/128] Iter [11640/90000] loss_GTA: 0.1296 loss: -0.0212 Time/Image: 0.6670
2022-03-18 00:28:00,317 INFO Epochs [16/128] Iter [11660/90000] loss_GTA: 0.2555 loss: 0.0137 Time/Image: 0.6663
2022-03-18 00:28:54,077 INFO Epochs [16/128] Iter [11680/90000] loss_GTA: 0.1523 loss: -0.0346 Time/Image: 0.6674
2022-03-18 00:29:47,731 INFO Epochs [16/128] Iter [11700/90000] loss_GTA: 0.1546 loss: 0.0461 Time/Image: 0.6660
2022-03-18 00:30:41,393 INFO Epochs [16/128] Iter [11720/90000] loss_GTA: 0.1258 loss: 0.0015 Time/Image: 0.6661
2022-03-18 00:31:35,229 INFO Epochs [16/128] Iter [11740/90000] loss_GTA: 0.1061 loss: -0.0251 Time/Image: 0.6683
2022-03-18 00:32:28,934 INFO Epochs [16/128] Iter [11760/90000] loss_GTA: 0.1092 loss: 0.0555 Time/Image: 0.6667
2022-03-18 00:33:22,638 INFO Epochs [16/128] Iter [11780/90000] loss_GTA: 0.1576 loss: 0.0150 Time/Image: 0.6667
2022-03-18 00:34:16,303 INFO Epochs [16/128] Iter [11800/90000] loss_GTA: 0.1221 loss: -0.0271 Time/Image: 0.6662
2022-03-18 00:35:10,015 INFO Epochs [16/128] Iter [11820/90000] loss_GTA: 0.1302 loss: 0.1628 Time/Image: 0.6667
2022-03-18 00:36:03,801 INFO Epochs [16/128] Iter [11840/90000] loss_GTA: 0.2184 loss: -0.0417 Time/Image: 0.6677
2022-03-18 00:36:57,468 INFO Epochs [16/128] Iter [11860/90000] loss_GTA: 0.1538 loss: 0.0353 Time/Image: 0.6662
2022-03-18 00:37:51,182 INFO Epochs [16/128] Iter [11880/90000] loss_GTA: 0.1268 loss: 0.0266 Time/Image: 0.6668
2022-03-18 00:38:47,795 INFO Epochs [17/128] Iter [11900/90000] loss_GTA: 0.2397 loss: 0.4638 Time/Image: 0.6663
2022-03-18 00:39:41,591 INFO Epochs [17/128] Iter [11920/90000] loss_GTA: 0.2800 loss: -0.0357 Time/Image: 0.6678
2022-03-18 00:40:35,275 INFO Epochs [17/128] Iter [11940/90000] loss_GTA: 0.1091 loss: -0.0406 Time/Image: 0.6664
2022-03-18 00:41:28,961 INFO Epochs [17/128] Iter [11960/90000] loss_GTA: 0.1023 loss: -0.0363 Time/Image: 0.6664
2022-03-18 00:42:22,666 INFO Epochs [17/128] Iter [11980/90000] loss_GTA: 0.2705 loss: 0.0159 Time/Image: 0.6667
2022-03-18 00:43:16,348 INFO Epochs [17/128] Iter [12000/90000] loss_GTA: 0.1307 loss: -0.0151 Time/Image: 0.6664
2022-03-18 00:43:16,350 INFO learning rate is 0.005275069141020384 for ResNet101 net
2022-03-18 00:43:16,352 INFO Successfully set the model eval mode
2022-03-18 01:17:00,687 INFO Overall Acc: : 0.9081089977892474
2022-03-18 01:17:00,687 INFO Mean Acc : : 0.6976873086535283
2022-03-18 01:17:00,687 INFO FreqW Acc : : 0.8394711098467815
2022-03-18 01:17:00,687 INFO Mean IoU : : 0.5659559785947277
2022-03-18 01:17:00,687 INFO 0: 0.9253343735441943
2022-03-18 01:17:00,688 INFO 1: 0.564640864086094
2022-03-18 01:17:00,688 INFO 2: 0.8494151228095791
2022-03-18 01:17:00,688 INFO 3: 0.39152985180094796
2022-03-18 01:17:00,688 INFO 4: 0.3194604220949379
2022-03-18 01:17:00,688 INFO 5: 0.46434102642932645
2022-03-18 01:17:00,688 INFO 6: 0.5325725690547747
2022-03-18 01:17:00,688 INFO 7: 0.5258921938593099
2022-03-18 01:17:00,688 INFO 8: 0.8743187200569642
2022-03-18 01:17:00,688 INFO 9: 0.47001133311872434
2022-03-18 01:17:00,688 INFO 10: 0.8034000225335393
2022-03-18 01:17:00,688 INFO 11: 0.7011457558319553
2022-03-18 01:17:00,688 INFO 12: 0.33523171158967496
2022-03-18 01:17:00,688 INFO 13: 0.8821772158056992
2022-03-18 01:17:00,688 INFO 14: 0.3680383802151749
2022-03-18 01:17:00,688 INFO 15: 0.589775378493865
2022-03-18 01:17:00,688 INFO 16: 0.2186476472525032
2022-03-18 01:17:00,688 INFO 17: 0.3900530743751493
2022-03-18 01:17:00,688 INFO 18: 0.5471779303474116
2022-03-18 01:17:01,701 INFO Best iou until now is 0.5873661318020795
2022-03-18 01:17:56,265 INFO Epochs [17/128] Iter [12020/90000] loss_GTA: 0.1068 loss: 0.0029 Time/Image: 0.6749
2022-03-18 01:18:49,880 INFO Epochs [17/128] Iter [12040/90000] loss_GTA: 0.2141 loss: -0.0366 Time/Image: 0.6655
2022-03-18 01:19:43,512 INFO Epochs [17/128] Iter [12060/90000] loss_GTA: 0.0954 loss: -0.0048 Time/Image: 0.6657
2022-03-18 01:20:37,221 INFO Epochs [17/128] Iter [12080/90000] loss_GTA: 0.2191 loss: 0.0035 Time/Image: 0.6667
2022-03-18 01:21:30,952 INFO Epochs [17/128] Iter [12100/90000] loss_GTA: 0.1208 loss: -0.0050 Time/Image: 0.6670
2022-03-18 01:22:24,627 INFO Epochs [17/128] Iter [12120/90000] loss_GTA: 0.1014 loss: -0.0125 Time/Image: 0.6663
2022-03-18 01:23:18,341 INFO Epochs [17/128] Iter [12140/90000] loss_GTA: 0.1510 loss: -0.0385 Time/Image: 0.6668
2022-03-18 01:24:12,017 INFO Epochs [17/128] Iter [12160/90000] loss_GTA: 0.1309 loss: -0.0287 Time/Image: 0.6663
2022-03-18 01:25:05,799 INFO Epochs [17/128] Iter [12180/90000] loss_GTA: 0.1498 loss: 0.0966 Time/Image: 0.6675
2022-03-18 01:25:59,441 INFO Epochs [17/128] Iter [12200/90000] loss_GTA: 0.2016 loss: 0.0306 Time/Image: 0.6659
2022-03-18 01:26:53,204 INFO Epochs [17/128] Iter [12220/90000] loss_GTA: 0.3200 loss: -0.0228 Time/Image: 0.6673
2022-03-18 01:27:46,906 INFO Epochs [17/128] Iter [12240/90000] loss_GTA: 0.1047 loss: 0.0846 Time/Image: 0.6666
2022-03-18 01:28:40,535 INFO Epochs [17/128] Iter [12260/90000] loss_GTA: 0.0876 loss: 0.0056 Time/Image: 0.6657
2022-03-18 01:29:34,340 INFO Epochs [17/128] Iter [12280/90000] loss_GTA: 0.1336 loss: 0.0119 Time/Image: 0.6679
2022-03-18 01:30:28,131 INFO Epochs [17/128] Iter [12300/90000] loss_GTA: 0.2819 loss: -0.0274 Time/Image: 0.6677
2022-03-18 01:31:21,858 INFO Epochs [17/128] Iter [12320/90000] loss_GTA: 0.3333 loss: -0.0332 Time/Image: 0.6669
2022-03-18 01:32:15,547 INFO Epochs [17/128] Iter [12340/90000] loss_GTA: 0.0984 loss: 0.1289 Time/Image: 0.6664
2022-03-18 01:33:09,231 INFO Epochs [17/128] Iter [12360/90000] loss_GTA: 0.1879 loss: -0.0365 Time/Image: 0.6664
2022-03-18 01:34:02,931 INFO Epochs [17/128] Iter [12380/90000] loss_GTA: 0.1593 loss: 0.0183 Time/Image: 0.6666
2022-03-18 01:34:56,638 INFO Epochs [17/128] Iter [12400/90000] loss_GTA: 0.0892 loss: -0.0312 Time/Image: 0.6667
2022-03-18 01:35:50,285 INFO Epochs [17/128] Iter [12420/90000] loss_GTA: 0.1696 loss: -0.0408 Time/Image: 0.6659
2022-03-18 01:36:43,993 INFO Epochs [17/128] Iter [12440/90000] loss_GTA: 0.1618 loss: -0.0090 Time/Image: 0.6667
2022-03-18 01:37:37,793 INFO Epochs [17/128] Iter [12460/90000] loss_GTA: 0.1519 loss: -0.0034 Time/Image: 0.6678
2022-03-18 01:38:31,467 INFO Epochs [17/128] Iter [12480/90000] loss_GTA: 0.1131 loss: 0.1715 Time/Image: 0.6663
2022-03-18 01:39:38,486 INFO Epochs [17/128] Iter [12500/90000] loss_GTA: 0.1311 loss: -0.0254 Time/Image: 0.6754
2022-03-18 01:40:32,275 INFO Epochs [17/128] Iter [12520/90000] loss_GTA: 0.1566 loss: 0.0119 Time/Image: 0.6676
2022-03-18 01:41:26,608 INFO Epochs [17/128] Iter [12540/90000] loss_GTA: 0.3361 loss: -0.0372 Time/Image: 0.6745
2022-03-18 01:42:20,317 INFO Epochs [17/128] Iter [12560/90000] loss_GTA: 0.0919 loss: 0.0176 Time/Image: 0.6667
2022-03-18 01:43:13,937 INFO Epochs [17/128] Iter [12580/90000] loss_GTA: 0.1203 loss: -0.0222 Time/Image: 0.6656
2022-03-18 01:44:07,630 INFO Epochs [17/128] Iter [12600/90000] loss_GTA: 0.0990 loss: -0.0454 Time/Image: 0.6665
2022-03-18 01:45:01,298 INFO Epochs [17/128] Iter [12620/90000] loss_GTA: 0.1404 loss: 0.0160 Time/Image: 0.6662
2022-03-18 01:45:57,765 INFO Epochs [18/128] Iter [12640/90000] loss_GTA: 0.1507 loss: -0.0101 Time/Image: 0.6667
2022-03-18 01:46:51,494 INFO Epochs [18/128] Iter [12660/90000] loss_GTA: 0.1288 loss: -0.0385 Time/Image: 0.6669
2022-03-18 01:47:45,166 INFO Epochs [18/128] Iter [12680/90000] loss_GTA: 0.2495 loss: -0.0104 Time/Image: 0.6663
2022-03-18 01:48:38,793 INFO Epochs [18/128] Iter [12700/90000] loss_GTA: 0.1629 loss: 0.0146 Time/Image: 0.6657
2022-03-18 01:49:32,520 INFO Epochs [18/128] Iter [12720/90000] loss_GTA: 0.1445 loss: -0.0125 Time/Image: 0.6669
2022-03-18 01:50:26,316 INFO Epochs [18/128] Iter [12740/90000] loss_GTA: 0.0750 loss: -0.0211 Time/Image: 0.6678
2022-03-18 01:51:20,024 INFO Epochs [18/128] Iter [12760/90000] loss_GTA: 0.1513 loss: -0.0094 Time/Image: 0.6667
2022-03-18 01:52:13,625 INFO Epochs [18/128] Iter [12780/90000] loss_GTA: 0.2281 loss: -0.0444 Time/Image: 0.6654
2022-03-18 01:53:07,339 INFO Epochs [18/128] Iter [12800/90000] loss_GTA: 0.2149 loss: -0.0318 Time/Image: 0.6668
2022-03-18 01:54:00,976 INFO Epochs [18/128] Iter [12820/90000] loss_GTA: 0.1352 loss: -0.0324 Time/Image: 0.6658
2022-03-18 01:54:54,687 INFO Epochs [18/128] Iter [12840/90000] loss_GTA: 0.1178 loss: -0.0047 Time/Image: 0.6667
2022-03-18 01:55:48,295 INFO Epochs [18/128] Iter [12860/90000] loss_GTA: 0.1020 loss: -0.0158 Time/Image: 0.6655
2022-03-18 01:56:41,964 INFO Epochs [18/128] Iter [12880/90000] loss_GTA: 0.1847 loss: -0.0203 Time/Image: 0.6662
2022-03-18 01:57:35,702 INFO Epochs [18/128] Iter [12900/90000] loss_GTA: 0.2237 loss: 0.0629 Time/Image: 0.6671
2022-03-18 01:58:29,401 INFO Epochs [18/128] Iter [12920/90000] loss_GTA: 0.1659 loss: -0.0450 Time/Image: 0.6665
2022-03-18 01:59:23,203 INFO Epochs [18/128] Iter [12940/90000] loss_GTA: 0.1161 loss: -0.0417 Time/Image: 0.6679
2022-03-18 02:00:16,842 INFO Epochs [18/128] Iter [12960/90000] loss_GTA: 0.1104 loss: 0.1010 Time/Image: 0.6658
2022-03-18 02:01:10,519 INFO Epochs [18/128] Iter [12980/90000] loss_GTA: 0.2093 loss: -0.0088 Time/Image: 0.6663
2022-03-18 02:02:04,956 INFO Epochs [18/128] Iter [13000/90000] loss_GTA: 0.1561 loss: 0.0377 Time/Image: 0.6758
2022-03-18 02:02:04,956 INFO learning rate is 0.00521416531983012 for ResNet101 net
2022-03-18 02:02:04,959 INFO Successfully set the model eval mode
2022-03-18 02:07:35,515 INFO Overall Acc: : 0.9095092585423324
2022-03-18 02:07:35,515 INFO Mean Acc : : 0.7004361561675132
2022-03-18 02:07:35,515 INFO FreqW Acc : : 0.8406718853473515
2022-03-18 02:07:35,515 INFO Mean IoU : : 0.5835692104189033
2022-03-18 02:07:35,515 INFO 0: 0.9202396189534573
2022-03-18 02:07:35,515 INFO 1: 0.6122182879542205
2022-03-18 02:07:35,515 INFO 2: 0.83374425915279
2022-03-18 02:07:35,515 INFO 3: 0.4291255546430091
2022-03-18 02:07:35,515 INFO 4: 0.3402361048926873
2022-03-18 02:07:35,515 INFO 5: 0.47809911934017657
2022-03-18 02:07:35,515 INFO 6: 0.5781701703404195
2022-03-18 02:07:35,515 INFO 7: 0.5235066571358431
2022-03-18 02:07:35,515 INFO 8: 0.8824086723734138
2022-03-18 02:07:35,515 INFO 9: 0.4752852277073757
2022-03-18 02:07:35,515 INFO 10: 0.8357190829767216
2022-03-18 02:07:35,516 INFO 11: 0.6957974412632103
2022-03-18 02:07:35,516 INFO 12: 0.27477906251605716
2022-03-18 02:07:35,516 INFO 13: 0.8936397046214878
2022-03-18 02:07:35,516 INFO 14: 0.4423291991747492
2022-03-18 02:07:35,516 INFO 15: 0.6205798720696838
2022-03-18 02:07:35,516 INFO 16: 0.24559975240534496
2022-03-18 02:07:35,516 INFO 17: 0.4982850928559478
2022-03-18 02:07:35,516 INFO 18: 0.5080521175825647
2022-03-18 02:07:36,595 INFO Best iou until now is 0.5873661318020795
2022-03-18 02:08:30,543 INFO Epochs [18/128] Iter [13020/90000] loss_GTA: 0.1545 loss: -0.0373 Time/Image: 0.6695
2022-03-18 02:09:24,200 INFO Epochs [18/128] Iter [13040/90000] loss_GTA: 0.1366 loss: -0.0230 Time/Image: 0.6660
2022-03-18 02:10:17,819 INFO Epochs [18/128] Iter [13060/90000] loss_GTA: 0.1254 loss: -0.0271 Time/Image: 0.6656