[2024-02-05 17:02:00,913 INFO test.py line 41 42795] => Loading config ...
[2024-02-05 17:02:00,913 INFO test.py line 48 42795] => Building model ...
[2024-02-05 17:02:07,028 INFO test.py line 61 42795] Num params: 97447088
[2024-02-05 17:02:08,774 INFO test.py line 68 42795] Loading weight at: exp/scannet/semseg-pt-v3m1-1-ppt-extreme/model/model_best.pth
[2024-02-05 17:02:12,412 INFO test.py line 80 42795] => Loaded weight 'exp/scannet/semseg-pt-v3m1-1-ppt-extreme/model/model_best.pth' (epoch 94)
[2024-02-05 17:02:12,417 INFO test.py line 53 42795] => Building test dataset & dataloader ...
[2024-02-05 17:02:12,423 INFO scannet.py line 72 42795] Totally 312 x 1 samples in val set.
[2024-02-05 17:02:12,424 INFO test.py line 119 42795] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>>
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[2024-02-05 17:03:11,970 INFO test.py line 230 42795] Test: scene0598_02 [1/78]-176139 Batch 22.255 (22.255) Accuracy 0.9617 (0.1453) mIoU 0.7039 (0.1408)
[2024-02-05 17:03:12,207 INFO test.py line 168 42795] 2/78: scene0494_00, loaded pred and label.
[2024-02-05 17:03:12,216 INFO test.py line 230 42795] Test: scene0494_00 [2/78]-62048 Batch 0.011 (11.133) Accuracy 0.9799 (0.3808) mIoU 0.8921 (0.3499)
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[2024-02-05 17:03:31,427 INFO test.py line 230 42795] Test: scene0474_00 [3/78]-182281 Batch 19.126 (13.797) Accuracy 0.9480 (0.4788) mIoU 0.7451 (0.4590)
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[2024-02-05 17:03:51,586 INFO test.py line 196 42795] Test: 4/78-scene0608_02, Batch: 122/125
[2024-02-05 17:03:51,745 INFO test.py line 196 42795] Test: 4/78-scene0608_02, Batch: 123/125
[2024-02-05 17:03:51,905 INFO test.py line 196 42795] Test: 4/78-scene0608_02, Batch: 124/125
[2024-02-05 17:03:51,932 INFO test.py line 230 42795] Test: scene0608_02 [4/78]-235030 Batch 20.262 (15.413) Accuracy 0.8190 (0.4746) mIoU 0.5482 (0.4405)
[2024-02-05 17:03:52,417 INFO test.py line 196 42795] Test: 5/78-scene0568_00, Batch: 0/138
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[2024-02-05 17:04:13,798 INFO test.py line 196 42795] Test: 5/78-scene0568_00, Batch: 135/138
[2024-02-05 17:04:13,955 INFO test.py line 196 42795] Test: 5/78-scene0568_00, Batch: 136/138
[2024-02-05 17:04:14,112 INFO test.py line 196 42795] Test: 5/78-scene0568_00, Batch: 137/138
[2024-02-05 17:04:14,140 INFO test.py line 230 42795] Test: scene0568_00 [5/78]-232453 Batch 21.890 (16.709) Accuracy 0.9678 (0.5308) mIoU 0.8967 (0.4773)
[2024-02-05 17:04:14,546 INFO test.py line 196 42795] Test: 6/78-scene0690_01, Batch: 0/134
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[2024-02-05 17:04:27,623 INFO test.py line 230 42795] Test: scene0690_01 [6/78]-109935 Batch 13.178 (16.120) Accuracy 0.8695 (0.5626) mIoU 0.6440 (0.5081)
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[2024-02-05 17:04:45,241 INFO test.py line 196 42795] Test: 7/78-scene0050_01, Batch: 126/129
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[2024-02-05 17:04:45,535 INFO test.py line 230 42795] Test: scene0050_01 [7/78]-199034 Batch 17.755 (16.354) Accuracy 0.9454 (0.5724) mIoU 0.7233 (0.5159)
[2024-02-05 17:04:45,963 INFO test.py line 196 42795] Test: 8/78-scene0629_02, Batch: 0/143
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[2024-02-05 17:05:07,895 INFO test.py line 196 42795] Test: 8/78-scene0629_02, Batch: 142/143
[2024-02-05 17:05:07,921 INFO test.py line 230 42795] Test: scene0629_02 [8/78]-225983 Batch 22.118 (17.074) Accuracy 0.8567 (0.5785) mIoU 0.5137 (0.5123)
[2024-02-05 17:05:08,317 INFO test.py line 196 42795] Test: 9/78-scene0338_00, Batch: 0/113
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[2024-02-05 17:05:18,807 INFO test.py line 196 42795] Test: 9/78-scene0338_00, Batch: 110/113
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[2024-02-05 17:05:19,011 INFO test.py line 230 42795] Test: scene0338_00 [9/78]-106339 Batch 10.792 (16.376) Accuracy 0.9823 (0.6280) mIoU 0.8179 (0.5613)
[2024-02-05 17:05:19,291 INFO test.py line 196 42795] Test: 10/78-scene0088_02, Batch: 0/135
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[2024-02-05 17:05:40,649 INFO test.py line 230 42795] Test: scene0088_02 [10/78]-170685 Batch 21.493 (16.888) Accuracy 0.9561 (0.6295) mIoU 0.7799 (0.5630)
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[2024-02-05 17:05:52,945 INFO test.py line 230 42795] Test: scene0558_00 [11/78]-92953 Batch 11.936 (16.438) Accuracy 0.9578 (0.6299) mIoU 0.7485 (0.5631)
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[2024-02-05 17:06:25,807 INFO test.py line 230 42795] Test: scene0645_01 [12/78]-330321 Batch 32.736 (17.796) Accuracy 0.9610 (0.8602) mIoU 0.8710 (0.7884)
[2024-02-05 17:06:26,376 INFO test.py line 196 42795] Test: 13/78-scene0648_01, Batch: 0/108
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[2024-02-05 17:06:40,139 INFO test.py line 230 42795] Test: scene0648_01 [13/78]-172602 Batch 13.896 (17.496) Accuracy 0.8224 (0.8527) mIoU 0.5249 (0.7825)
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[2024-02-05 17:06:55,182 INFO test.py line 230 42795] Test: scene0578_00 [14/78]-147607 Batch 14.814 (17.304) Accuracy 0.9600 (0.8522) mIoU 0.7795 (0.7809)
[2024-02-05 17:06:55,538 INFO test.py line 196 42795] Test: 15/78-scene0575_02, Batch: 0/143
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[2024-02-05 17:07:15,693 INFO test.py line 230 42795] Test: scene0575_02 [15/78]-202882 Batch 20.306 (17.505) Accuracy 0.9766 (0.8537) mIoU 0.9443 (0.7844)
[2024-02-05 17:07:16,031 INFO test.py line 196 42795] Test: 16/78-scene0702_01, Batch: 0/130
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[2024-02-05 17:07:24,612 INFO test.py line 230 42795] Test: scene0702_01 [16/78]-56603 Batch 8.649 (16.951) Accuracy 0.9161 (0.8546) mIoU 0.7623 (0.7867)
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[2024-02-05 17:07:46,210 INFO test.py line 230 42795] Test: scene0015_00 [17/78]-217086 Batch 21.518 (17.220) Accuracy 0.9444 (0.8549) mIoU 0.7329 (0.7863)
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[2024-02-05 17:07:58,818 INFO test.py line 196 42795] Test: 18/78-scene0412_01, Batch: 111/117
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[2024-02-05 17:07:59,036 INFO test.py line 196 42795] Test: 18/78-scene0412_01, Batch: 113/117
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[2024-02-05 17:07:59,381 INFO test.py line 230 42795] Test: scene0412_01 [18/78]-133337 Batch 12.885 (16.979) Accuracy 0.8223 (0.8140) mIoU 0.4269 (0.7495)
[2024-02-05 17:07:59,664 INFO test.py line 196 42795] Test: 19/78-scene0086_02, Batch: 0/142
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[2024-02-05 17:08:13,682 INFO test.py line 196 42795] Test: 19/78-scene0086_02, Batch: 135/142
[2024-02-05 17:08:13,790 INFO test.py line 196 42795] Test: 19/78-scene0086_02, Batch: 136/142
[2024-02-05 17:08:13,898 INFO test.py line 196 42795] Test: 19/78-scene0086_02, Batch: 137/142
[2024-02-05 17:08:14,006 INFO test.py line 196 42795] Test: 19/78-scene0086_02, Batch: 138/142
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[2024-02-05 17:08:14,350 INFO test.py line 230 42795] Test: scene0086_02 [19/78]-124091 Batch 14.792 (16.864) Accuracy 0.9759 (0.8360) mIoU 0.9544 (0.7714)
[2024-02-05 17:08:14,629 INFO test.py line 196 42795] Test: 20/78-scene0695_01, Batch: 0/112
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[2024-02-05 17:08:26,699 INFO test.py line 230 42795] Test: scene0695_01 [20/78]-143776 Batch 12.184 (16.630) Accuracy 0.9407 (0.8360) mIoU 0.6878 (0.7759)
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[2024-02-05 17:08:42,779 INFO test.py line 196 42795] Test: 21/78-scene0558_02, Batch: 122/125
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[2024-02-05 17:08:43,039 INFO test.py line 196 42795] Test: 21/78-scene0558_02, Batch: 124/125
[2024-02-05 17:08:43,062 INFO test.py line 230 42795] Test: scene0558_02 [21/78]-173904 Batch 16.169 (16.608) Accuracy 0.9725 (0.8365) mIoU 0.9259 (0.7770)
[2024-02-05 17:08:43,383 INFO test.py line 196 42795] Test: 22/78-scene0553_02, Batch: 0/138
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[2024-02-05 17:08:53,408 INFO test.py line 196 42795] Test: 22/78-scene0553_02, Batch: 134/138
[2024-02-05 17:08:53,482 INFO test.py line 196 42795] Test: 22/78-scene0553_02, Batch: 135/138
[2024-02-05 17:08:53,556 INFO test.py line 196 42795] Test: 22/78-scene0553_02, Batch: 136/138
[2024-02-05 17:08:53,630 INFO test.py line 196 42795] Test: 22/78-scene0553_02, Batch: 137/138
[2024-02-05 17:08:53,642 INFO test.py line 230 42795] Test: scene0553_02 [22/78]-67632 Batch 10.349 (16.323) Accuracy 0.9827 (0.8412) mIoU 0.7626 (0.7815)
[2024-02-05 17:08:53,851 INFO test.py line 196 42795] Test: 23/78-scene0598_00, Batch: 0/126
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[2024-02-05 17:09:07,856 INFO test.py line 230 42795] Test: scene0598_00 [23/78]-145562 Batch 14.122 (16.228) Accuracy 0.7489 (0.8339) mIoU 0.4963 (0.7696)
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[2024-02-05 17:09:28,096 INFO test.py line 196 42795] Test: 24/78-scene0435_02, Batch: 135/139
[2024-02-05 17:09:28,242 INFO test.py line 196 42795] Test: 24/78-scene0435_02, Batch: 136/139
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[2024-02-05 17:09:28,564 INFO test.py line 230 42795] Test: scene0435_02 [24/78]-210308 Batch 20.514 (16.406) Accuracy 0.9324 (0.8866) mIoU 0.7064 (0.8198)
[2024-02-05 17:09:28,910 INFO test.py line 196 42795] Test: 25/78-scene0684_00, Batch: 0/113
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[2024-02-05 17:09:35,409 INFO test.py line 196 42795] Test: 25/78-scene0684_00, Batch: 110/113
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[2024-02-05 17:09:35,534 INFO test.py line 230 42795] Test: scene0684_00 [25/78]-41364 Batch 6.688 (16.018) Accuracy 0.9836 (0.8869) mIoU 0.8074 (0.8203)
[2024-02-05 17:09:35,663 INFO test.py line 196 42795] Test: 26/78-scene0574_02, Batch: 0/108
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[2024-02-05 17:09:43,050 INFO test.py line 196 42795] Test: 26/78-scene0574_02, Batch: 104/108
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[2024-02-05 17:09:43,266 INFO test.py line 230 42795] Test: scene0574_02 [26/78]-62475 Batch 7.674 (15.697) Accuracy 0.9430 (0.8881) mIoU 0.8731 (0.8216)
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[2024-02-05 17:10:09,039 INFO test.py line 230 42795] Test: scene0616_00 [27/78]-310248 Batch 25.686 (16.067) Accuracy 0.8619 (0.8727) mIoU 0.7951 (0.8131)
[2024-02-05 17:10:09,613 INFO test.py line 196 42795] Test: 28/78-scene0169_00, Batch: 0/139
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[2024-02-05 17:10:31,647 INFO test.py line 230 42795] Test: scene0169_00 [28/78]-239354 Batch 22.199 (16.286) Accuracy 0.9410 (0.8741) mIoU 0.8209 (0.8152)
[2024-02-05 17:10:32,141 INFO test.py line 196 42795] Test: 29/78-scene0046_02, Batch: 0/146
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[2024-02-05 17:10:53,150 INFO test.py line 230 42795] Test: scene0046_02 [29/78]-199774 Batch 21.159 (16.454) Accuracy 0.8915 (0.8720) mIoU 0.5789 (0.7930)
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[2024-02-05 17:11:12,910 INFO test.py line 230 42795] Test: scene0334_01 [30/78]-226580 Batch 19.493 (16.555) Accuracy 0.9476 (0.8700) mIoU 0.6209 (0.7906)
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[2024-02-05 17:11:32,758 INFO test.py line 230 42795] Test: scene0221_00 [31/78]-185828 Batch 19.546 (16.651) Accuracy 0.9478 (0.8740) mIoU 0.7390 (0.7890)
[2024-02-05 17:11:33,133 INFO test.py line 196 42795] Test: 32/78-scene0221_01, Batch: 0/118
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[2024-02-05 17:11:48,044 INFO test.py line 230 42795] Test: scene0221_01 [32/78]-170654 Batch 15.041 (16.601) Accuracy 0.9479 (0.8762) mIoU 0.7095 (0.7880)
[2024-02-05 17:11:48,334 INFO test.py line 196 42795] Test: 33/78-scene0684_01, Batch: 0/136
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[2024-02-05 17:11:56,402 INFO test.py line 230 42795] Test: scene0684_01 [33/78]-39474 Batch 8.132 (16.345) Accuracy 0.9851 (0.8763) mIoU 0.9432 (0.7882)
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[2024-02-05 17:12:06,419 INFO test.py line 230 42795] Test: scene0338_01 [34/78]-85459 Batch 9.961 (16.157) Accuracy 0.9712 (0.8805) mIoU 0.8001 (0.7938)
[2024-02-05 17:12:06,619 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 0/138
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[2024-02-05 17:12:14,671 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 101/138
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[2024-02-05 17:12:17,085 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 130/138
[2024-02-05 17:12:17,165 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 131/138
[2024-02-05 17:12:17,245 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 132/138
[2024-02-05 17:12:17,326 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 133/138
[2024-02-05 17:12:17,406 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 134/138
[2024-02-05 17:12:17,486 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 135/138
[2024-02-05 17:12:17,566 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 136/138
[2024-02-05 17:12:17,646 INFO test.py line 196 42795] Test: 35/78-scene0278_01, Batch: 137/138
[2024-02-05 17:12:17,660 INFO test.py line 230 42795] Test: scene0278_01 [35/78]-83269 Batch 11.124 (16.013) Accuracy 0.8960 (0.8803) mIoU 0.6374 (0.7869)
[2024-02-05 17:12:17,919 INFO test.py line 196 42795] Test: 36/78-scene0414_00, Batch: 0/138
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[2024-02-05 17:12:37,137 INFO test.py line 230 42795] Test: scene0414_00 [36/78]-192685 Batch 19.364 (16.106) Accuracy 0.9398 (0.8813) mIoU 0.7469 (0.7855)
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[2024-02-05 17:13:03,080 INFO test.py line 230 42795] Test: scene0207_00 [37/78]-304396 Batch 25.690 (16.365) Accuracy 0.8807 (0.8776) mIoU 0.7409 (0.7917)
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[2024-02-05 17:13:26,009 INFO test.py line 196 42795] Test: 38/78-scene0621_00, Batch: 131/135
[2024-02-05 17:13:26,176 INFO test.py line 196 42795] Test: 38/78-scene0621_00, Batch: 132/135
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[2024-02-05 17:13:26,530 INFO test.py line 230 42795] Test: scene0621_00 [38/78]-250821 Batch 23.054 (16.541) Accuracy 0.9404 (0.8764) mIoU 0.7557 (0.7912)
[2024-02-05 17:13:26,966 INFO test.py line 196 42795] Test: 39/78-scene0377_01, Batch: 0/122
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[2024-02-05 17:13:39,792 INFO test.py line 230 42795] Test: scene0377_01 [39/78]-131297 Batch 12.935 (16.449) Accuracy 0.9204 (0.8761) mIoU 0.4688 (0.7905)
[2024-02-05 17:13:40,205 INFO test.py line 196 42795] Test: 40/78-scene0207_02, Batch: 0/148
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[2024-02-05 17:14:13,264 INFO test.py line 230 42795] Test: scene0207_02 [40/78]-347322 Batch 33.297 (16.870) Accuracy 0.9419 (0.8772) mIoU 0.8697 (0.7962)
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[2024-02-05 17:14:21,912 INFO test.py line 230 42795] Test: scene0423_02 [41/78]-60071 Batch 8.179 (16.658) Accuracy 0.9979 (0.8774) mIoU 0.7421 (0.7965)
[2024-02-05 17:14:22,084 INFO test.py line 196 42795] Test: 42/78-scene0686_01, Batch: 0/122
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[2024-02-05 17:14:32,432 INFO test.py line 230 42795] Test: scene0686_01 [42/78]-91616 Batch 10.438 (16.510) Accuracy 0.9900 (0.8787) mIoU 0.9760 (0.7983)
[2024-02-05 17:14:32,752 INFO test.py line 196 42795] Test: 43/78-scene0030_00, Batch: 0/130
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[2024-02-05 17:14:57,330 INFO test.py line 230 42795] Test: scene0030_00 [43/78]-293811 Batch 24.774 (16.702) Accuracy 0.9766 (0.8798) mIoU 0.8449 (0.7998)
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[2024-02-05 17:15:15,884 INFO test.py line 196 42795] Test: 44/78-scene0580_01, Batch: 147/151
[2024-02-05 17:15:16,010 INFO test.py line 196 42795] Test: 44/78-scene0580_01, Batch: 148/151
[2024-02-05 17:15:16,135 INFO test.py line 196 42795] Test: 44/78-scene0580_01, Batch: 149/151
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[2024-02-05 17:15:16,279 INFO test.py line 230 42795] Test: scene0580_01 [44/78]-165009 Batch 18.558 (16.744) Accuracy 0.8089 (0.8767) mIoU 0.4523 (0.7945)
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[2024-02-05 17:15:35,920 INFO test.py line 230 42795] Test: scene0697_03 [45/78]-165912 Batch 19.422 (16.804) Accuracy 0.7292 (0.8730) mIoU 0.3391 (0.7906)
[2024-02-05 17:15:36,202 INFO test.py line 196 42795] Test: 46/78-scene0574_01, Batch: 0/116
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[2024-02-05 17:15:43,485 INFO test.py line 230 42795] Test: scene0574_01 [46/78]-53641 Batch 7.348 (16.598) Accuracy 0.9303 (0.8735) mIoU 0.8609 (0.7913)
[2024-02-05 17:15:43,795 INFO test.py line 196 42795] Test: 47/78-scene0500_01, Batch: 0/173
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[2024-02-05 17:16:23,384 INFO test.py line 230 42795] Test: scene0500_01 [47/78]-352674 Batch 39.825 (17.092) Accuracy 0.9573 (0.8744) mIoU 0.6998 (0.7925)
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[2024-02-05 17:16:34,809 INFO test.py line 230 42795] Test: scene0552_01 [48/78]-91978 Batch 10.963 (16.965) Accuracy 0.9593 (0.8744) mIoU 0.8292 (0.7935)
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[2024-02-05 17:16:44,500 INFO test.py line 230 42795] Test: scene0609_00 [49/78]-78836 Batch 9.564 (16.814) Accuracy 0.8214 (0.8728) mIoU 0.5672 (0.7900)
[2024-02-05 17:16:44,689 INFO test.py line 196 42795] Test: 50/78-scene0277_02, Batch: 0/140
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[2024-02-05 17:16:55,828 INFO test.py line 230 42795] Test: scene0277_02 [50/78]-82251 Batch 11.221 (16.702) Accuracy 0.8909 (0.8725) mIoU 0.7404 (0.7894)
[2024-02-05 17:16:56,054 INFO test.py line 196 42795] Test: 51/78-scene0685_01, Batch: 0/117
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[2024-02-05 17:17:09,631 INFO test.py line 230 42795] Test: scene0685_01 [51/78]-138130 Batch 13.691 (16.643) Accuracy 0.9615 (0.8722) mIoU 0.6690 (0.7896)
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[2024-02-05 17:17:28,412 INFO test.py line 230 42795] Test: scene0203_02 [52/78]-238392 Batch 18.597 (16.680) Accuracy 0.8108 (0.8639) mIoU 0.5393 (0.7819)
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[2024-02-05 17:18:05,849 INFO test.py line 230 42795] Test: scene0678_01 [53/78]-377683 Batch 37.113 (17.066) Accuracy 0.9244 (0.8676) mIoU 0.5969 (0.7861)
[2024-02-05 17:18:06,445 INFO test.py line 196 42795] Test: 54/78-scene0356_00, Batch: 0/152
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[2024-02-05 17:18:18,646 INFO test.py line 230 42795] Test: scene0356_00 [54/78]-81172 Batch 12.286 (16.977) Accuracy 0.9526 (0.8680) mIoU 0.6566 (0.7868)
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[2024-02-05 17:18:29,362 INFO test.py line 230 42795] Test: scene0535_00 [55/78]-90268 Batch 10.606 (16.861) Accuracy 0.6695 (0.8593) mIoU 0.4217 (0.7774)
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[2024-02-05 17:18:48,978 INFO test.py line 230 42795] Test: scene0131_00 [56/78]-177091 Batch 19.493 (16.908) Accuracy 0.9414 (0.8531) mIoU 0.3900 (0.7714)
[2024-02-05 17:18:49,308 INFO test.py line 196 42795] Test: 57/78-scene0084_02, Batch: 0/139
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[2024-02-05 17:19:00,919 INFO test.py line 196 42795] Test: 57/78-scene0084_02, Batch: 134/139
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[2024-02-05 17:19:01,090 INFO test.py line 196 42795] Test: 57/78-scene0084_02, Batch: 136/139
[2024-02-05 17:19:01,175 INFO test.py line 196 42795] Test: 57/78-scene0084_02, Batch: 137/139
[2024-02-05 17:19:01,261 INFO test.py line 196 42795] Test: 57/78-scene0084_02, Batch: 138/139
[2024-02-05 17:19:01,276 INFO test.py line 230 42795] Test: scene0084_02 [57/78]-98346 Batch 12.058 (16.823) Accuracy 0.9575 (0.8522) mIoU 0.7441 (0.7733)
[2024-02-05 17:19:01,532 INFO test.py line 196 42795] Test: 58/78-scene0651_02, Batch: 0/121
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[2024-02-05 17:19:13,701 INFO test.py line 230 42795] Test: scene0651_02 [58/78]-124048 Batch 12.277 (16.745) Accuracy 0.9589 (0.8558) mIoU 0.8255 (0.7778)
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[2024-02-05 17:19:24,529 INFO test.py line 230 42795] Test: scene0583_02 [59/78]-89810 Batch 10.664 (16.642) Accuracy 0.8085 (0.8380) mIoU 0.4923 (0.7642)
[2024-02-05 17:19:24,738 INFO test.py line 196 42795] Test: 60/78-scene0598_01, Batch: 0/121
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[2024-02-05 17:19:34,937 INFO test.py line 230 42795] Test: scene0598_01 [60/78]-91924 Batch 10.285 (16.536) Accuracy 0.9012 (0.8375) mIoU 0.7724 (0.7628)
[2024-02-05 17:19:35,210 INFO test.py line 196 42795] Test: 61/78-scene0435_03, Batch: 0/125
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[2024-02-05 17:19:52,878 INFO test.py line 230 42795] Test: scene0435_03 [61/78]-203722 Batch 17.818 (16.557) Accuracy 0.9391 (0.8401) mIoU 0.7107 (0.7654)
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[2024-02-05 17:20:12,578 INFO test.py line 230 42795] Test: scene0378_01 [62/78]-196608 Batch 19.434 (16.603) Accuracy 0.9519 (0.8418) mIoU 0.9174 (0.7674)
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[2024-02-05 17:20:29,619 INFO test.py line 230 42795] Test: scene0704_00 [63/78]-183029 Batch 16.783 (16.606) Accuracy 0.9565 (0.8430) mIoU 0.6926 (0.7698)
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[2024-02-05 17:20:46,046 INFO test.py line 230 42795] Test: scene0131_02 [64/78]-140599 Batch 16.182 (16.600) Accuracy 0.9432 (0.8418) mIoU 0.5011 (0.7687)
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[2024-02-05 17:20:56,642 INFO test.py line 230 42795] Test: scene0382_01 [65/78]-96933 Batch 10.405 (16.504) Accuracy 0.8331 (0.8407) mIoU 0.5044 (0.7671)
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[2024-02-05 17:21:12,025 INFO test.py line 230 42795] Test: scene0351_01 [66/78]-170840 Batch 15.253 (16.485) Accuracy 0.9637 (0.8417) mIoU 0.9347 (0.7687)
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[2024-02-05 17:21:43,178 INFO test.py line 230 42795] Test: scene0251_00 [67/78]-226765 Batch 30.927 (16.701) Accuracy 0.9115 (0.8410) mIoU 0.7857 (0.7682)
[2024-02-05 17:21:43,542 INFO test.py line 196 42795] Test: 68/78-scene0423_01, Batch: 0/116
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[2024-02-05 17:21:50,644 INFO test.py line 230 42795] Test: scene0423_01 [68/78]-41518 Batch 7.166 (16.561) Accuracy 0.9994 (0.8410) mIoU 0.9947 (0.7684)
[2024-02-05 17:21:50,834 INFO test.py line 196 42795] Test: 69/78-scene0187_00, Batch: 0/148
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[2024-02-05 17:22:09,627 INFO test.py line 230 42795] Test: scene0187_00 [69/78]-173752 Batch 18.925 (16.595) Accuracy 0.9691 (0.8412) mIoU 0.6927 (0.7685)
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[2024-02-05 17:22:16,959 INFO test.py line 196 42795] Test: 70/78-scene0423_00, Batch: 110/112
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[2024-02-05 17:22:17,032 INFO test.py line 230 42795] Test: scene0423_00 [70/78]-53074 Batch 7.176 (16.460) Accuracy 0.9964 (0.8413) mIoU 0.9921 (0.7687)
[2024-02-05 17:22:17,239 INFO test.py line 196 42795] Test: 71/78-scene0131_01, Batch: 0/134
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[2024-02-05 17:22:34,625 INFO test.py line 230 42795] Test: scene0131_01 [71/78]-172221 Batch 17.518 (16.475) Accuracy 0.9123 (0.8384) mIoU 0.4342 (0.7652)
[2024-02-05 17:22:35,000 INFO test.py line 196 42795] Test: 72/78-scene0046_00, Batch: 0/138
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[2024-02-05 17:22:54,328 INFO test.py line 230 42795] Test: scene0046_00 [72/78]-186857 Batch 19.474 (16.517) Accuracy 0.9190 (0.8426) mIoU 0.7413 (0.7697)
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[2024-02-05 17:23:00,611 INFO test.py line 196 42795] Test: 73/78-scene0432_01, Batch: 97/100
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[2024-02-05 17:23:00,743 INFO test.py line 230 42795] Test: scene0432_01 [73/78]-37547 Batch 5.959 (16.372) Accuracy 0.9431 (0.8426) mIoU 0.7605 (0.7696)
[2024-02-05 17:23:00,863 INFO test.py line 196 42795] Test: 74/78-scene0664_02, Batch: 0/127
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[2024-02-05 17:23:08,891 INFO test.py line 230 42795] Test: scene0664_02 [74/78]-46804 Batch 8.094 (16.260) Accuracy 0.9330 (0.8424) mIoU 0.7983 (0.7710)
[2024-02-05 17:23:09,145 INFO test.py line 196 42795] Test: 75/78-scene0207_01, Batch: 0/138
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[2024-02-05 17:23:34,038 INFO test.py line 230 42795] Test: scene0207_01 [75/78]-269274 Batch 25.080 (16.378) Accuracy 0.9091 (0.8440) mIoU 0.7767 (0.7723)
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[2024-02-05 17:23:59,797 INFO test.py line 230 42795] Test: scene0011_00 [76/78]-237360 Batch 25.397 (16.497) Accuracy 0.9147 (0.8419) mIoU 0.8109 (0.7699)
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[2024-02-05 17:24:10,522 INFO test.py line 230 42795] Test: scene0193_00 [77/78]-101783 Batch 10.409 (16.418) Accuracy 0.9142 (0.8414) mIoU 0.7845 (0.7693)
[2024-02-05 17:24:10,917 INFO test.py line 196 42795] Test: 78/78-scene0307_01, Batch: 0/144
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[2024-02-05 17:24:58,046 INFO test.py line 230 42795] Test: scene0307_01 [78/78]-412511 Batch 47.387 (16.815) Accuracy 0.8759 (0.8435) mIoU 0.4949 (0.7691)
[2024-02-05 17:24:59,598 INFO test.py line 289 42795] Syncing ...
[2024-02-05 17:24:59,621 INFO test.py line 317 42795] Val result: mIoU/mAcc/allAcc 0.7853/0.8597/0.9246
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_0 - wall Result: iou/accuracy 0.8831/0.9585
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_1 - floor Result: iou/accuracy 0.9560/0.9823
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_2 - cabinet Result: iou/accuracy 0.7327/0.8239
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_3 - bed Result: iou/accuracy 0.8269/0.8706
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_4 - chair Result: iou/accuracy 0.9337/0.9695
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_5 - sofa Result: iou/accuracy 0.8750/0.9367
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_6 - table Result: iou/accuracy 0.7938/0.8581
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_7 - door Result: iou/accuracy 0.7497/0.8376
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_8 - window Result: iou/accuracy 0.7407/0.8557
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_9 - bookshelf Result: iou/accuracy 0.8513/0.9393
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_10 - picture Result: iou/accuracy 0.4063/0.5029
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_11 - counter Result: iou/accuracy 0.6991/0.8280
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_12 - desk Result: iou/accuracy 0.7347/0.8987
[2024-02-05 17:24:59,621 INFO test.py line 323 42795] Class_13 - curtain Result: iou/accuracy 0.7850/0.8640
[2024-02-05 17:24:59,622 INFO test.py line 323 42795] Class_14 - refridgerator Result: iou/accuracy 0.7697/0.8274
[2024-02-05 17:24:59,622 INFO test.py line 323 42795] Class_15 - shower curtain Result: iou/accuracy 0.7459/0.7947
[2024-02-05 17:24:59,622 INFO test.py line 323 42795] Class_16 - toilet Result: iou/accuracy 0.9560/0.9803
[2024-02-05 17:24:59,622 INFO test.py line 323 42795] Class_17 - sink Result: iou/accuracy 0.7029/0.8178
[2024-02-05 17:24:59,622 INFO test.py line 323 42795] Class_18 - bathtub Result: iou/accuracy 0.8877/0.9190
[2024-02-05 17:24:59,622 INFO test.py line 323 42795] Class_19 - otherfurniture Result: iou/accuracy 0.6751/0.7294
[2024-02-05 17:24:59,622 INFO test.py line 331 42795] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<<