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ssv2_tiny_1clip.log
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ssv2_tiny_1clip.log
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=> dataset: somethingv2
=> root_path: /tmp/
=> num_classes: 174
Initializing RubiksNet-Tiny variant "rubiks3d". num_frames=8
=> RubiksShift3D
=> tier: tiny
=> variant: rubiks3d
=> eval mode: 1-clip
video 0 done, total 0/24777, average 0.397 sec/video, moving Prec@1 56.250 Prec@5 85.000
video 1600 done, total 1600/24777, average 0.021 sec/video, moving Prec@1 54.940 Prec@5 82.560
video 3200 done, total 3200/24777, average 0.013 sec/video, moving Prec@1 55.122 Prec@5 82.530
video 4800 done, total 4800/24777, average 0.010 sec/video, moving Prec@1 54.611 Prec@5 82.193
video 6400 done, total 6400/24777, average 0.008 sec/video, moving Prec@1 54.522 Prec@5 82.052
video 8000 done, total 8000/24777, average 0.008 sec/video, moving Prec@1 54.394 Prec@5 81.844
video 9600 done, total 9600/24777, average 0.007 sec/video, moving Prec@1 54.473 Prec@5 82.004
video 11200 done, total 11200/24777, average 0.007 sec/video, moving Prec@1 54.637 Prec@5 81.977
video 12800 done, total 12800/24777, average 0.006 sec/video, moving Prec@1 54.666 Prec@5 82.026
video 14400 done, total 14400/24777, average 0.006 sec/video, moving Prec@1 54.599 Prec@5 82.231
video 16000 done, total 16000/24777, average 0.006 sec/video, moving Prec@1 54.459 Prec@5 82.046
video 17600 done, total 17600/24777, average 0.005 sec/video, moving Prec@1 54.163 Prec@5 81.883
video 19200 done, total 19200/24777, average 0.005 sec/video, moving Prec@1 54.232 Prec@5 81.857
video 20800 done, total 20800/24777, average 0.005 sec/video, moving Prec@1 54.286 Prec@5 81.920
video 22400 done, total 22400/24777, average 0.005 sec/video, moving Prec@1 54.426 Prec@5 82.033
video 24000 done, total 24000/24777, average 0.005 sec/video, moving Prec@1 54.539 Prec@5 82.014
====================== Evaluation Complete ======================
Class confusion matrix:
[0.89655172 0.24342105 0.23529412 0.63106796 0.53846154 0.57017544
0.74820144 0.54545455 0.57480315 0.62251656 0.5505618 0.55474453
0.28205128 0.3 0.7122807 0.40425532 0.27411168 0.36842105
0.46861925 0.43127962 0.42913386 0.5877193 0.37790698 0.5
0.47727273 0.31578947 0.45 0.55445545 0.69090909 0.70881226
0.77027027 0.67567568 0.875 0.09708738 0.18072289 0.03125
0.8156682 0.81368821 0.14814815 0.52941176 0.69945355 0.53571429
0.63380282 0.63665595 0.7027027 0.52924791 0.51506024 0.36683417
0.36645963 0.76989247 0.65822785 0. 0.0625 0.45714286
0.16666667 0.34 0.44520548 0.5754717 0.05882353 0.79136691
0.62 0.1372549 0.72151899 0.18691589 0.05405405 0.53773585
0.19811321 0.43781095 0.66666667 0.32 0.58928571 0.34782609
0.57352941 0.64102564 0.67924528 0.26315789 0.27777778 0.53846154
0.22222222 0.75862069 0.21875 0.08 0.23404255 0.29787234
0.62666667 0.3968254 0.83529412 0.848 0.16666667 0.09638554
0.46376812 0.73333333 0.38596491 0.796 0.81779661 0.15277778
0.05882353 0.25619835 0.4744898 0.65934066 0.36226415 0.60989011
0.29310345 0.54464286 0.73228346 0.75555556 0.51712329 0.67487685
0.21621622 0.48666667 0.47887324 0. 0.50359712 0.30555556
0.64930556 0.34782609 0.33333333 0.72222222 0.33898305 0.63366337
0.77165354 0.75 0.27586207 0.52307692 0.32692308 0.55963303
0.46601942 0.40869565 0.11111111 0.61764706 0.27142857 0.16438356
0.43678161 0.19298246 0.79347826 0.50613497 0. 0.33333333
0.12844037 0.55980861 0.65503876 0.3125 0.421875 0.50974026
0.56050955 0.4224924 0.71111111 0.0234375 0.52301255 0.87924528
0.66304348 0.375 0.24489796 0.7706422 0.52755906 0.09756098
0.4 0.50543478 0.59633028 0.29090909 0.26605505 0.25
0.51401869 0.25 0.79795396 0.82258065 0.93571429 0.90123457
0.84166667 0.64 0.35294118 0.73717949 0.69302326 0.69343066]
Accuracy: top 1: 54.60% top 5: 82.04%