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ssv2_tiny_2clip.log
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ssv2_tiny_2clip.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: 2-clip
video 0 done, total 0/24777, average 0.719 sec/video, moving Prec@1 57.500 Prec@5 88.750
video 1600 done, total 1600/24777, average 0.047 sec/video, moving Prec@1 57.917 Prec@5 84.583
video 3200 done, total 3200/24777, average 0.033 sec/video, moving Prec@1 57.774 Prec@5 84.604
video 4800 done, total 4800/24777, average 0.030 sec/video, moving Prec@1 56.865 Prec@5 84.078
video 6400 done, total 6400/24777, average 0.028 sec/video, moving Prec@1 56.867 Prec@5 83.951
video 8000 done, total 8000/24777, average 0.027 sec/video, moving Prec@1 56.634 Prec@5 83.812
video 9600 done, total 9600/24777, average 0.026 sec/video, moving Prec@1 56.756 Prec@5 83.905
video 11200 done, total 11200/24777, average 0.025 sec/video, moving Prec@1 56.817 Prec@5 83.936
video 12800 done, total 12800/24777, average 0.025 sec/video, moving Prec@1 56.809 Prec@5 84.014
video 14400 done, total 14400/24777, average 0.025 sec/video, moving Prec@1 56.796 Prec@5 84.227
video 16000 done, total 16000/24777, average 0.024 sec/video, moving Prec@1 56.586 Prec@5 84.111
video 17600 done, total 17600/24777, average 0.024 sec/video, moving Prec@1 56.301 Prec@5 83.954
video 19200 done, total 19200/24777, average 0.023 sec/video, moving Prec@1 56.432 Prec@5 83.859
video 20800 done, total 20800/24777, average 0.023 sec/video, moving Prec@1 56.437 Prec@5 83.970
video 22400 done, total 22400/24777, average 0.023 sec/video, moving Prec@1 56.495 Prec@5 84.115
video 24000 done, total 24000/24777, average 0.023 sec/video, moving Prec@1 56.557 Prec@5 84.086
====================== Evaluation Complete ======================
Class confusion matrix:
[0.93103448 0.27631579 0.2875817 0.63106796 0.58974359 0.59649123
0.76019185 0.54545455 0.54330709 0.66887417 0.57303371 0.56934307
0.28632479 0.3 0.74385965 0.45957447 0.26903553 0.34210526
0.48953975 0.44549763 0.40944882 0.60526316 0.43023256 0.57446809
0.47727273 0.31578947 0.5 0.53465347 0.7 0.72796935
0.7972973 0.71171171 0.92045455 0.0776699 0.1686747 0.03125
0.84331797 0.84030418 0.11111111 0.58823529 0.69945355 0.64285714
0.63849765 0.66559486 0.72972973 0.53481894 0.54518072 0.40703518
0.34782609 0.81935484 0.70464135 0. 0.09375 0.45714286
0.20833333 0.32666667 0.47260274 0.62264151 0. 0.82014388
0.54 0.19607843 0.73417722 0.11214953 0.13513514 0.61792453
0.18867925 0.46766169 0.71491228 0.31 0.625 0.30434783
0.57352941 0.61538462 0.69811321 0.31578947 0.22222222 0.46153846
0.14814815 0.75862069 0.1875 0.112 0.23404255 0.36170213
0.6 0.44444444 0.86470588 0.832 0.16666667 0.09638554
0.49275362 0.81666667 0.40350877 0.852 0.83474576 0.13888889
0.02941176 0.17355372 0.49489796 0.74725275 0.41509434 0.58241758
0.24137931 0.66964286 0.77952756 0.79259259 0.56164384 0.7044335
0.22972973 0.50666667 0.43661972 0. 0.52517986 0.30555556
0.67361111 0.34782609 0.37037037 0.70634921 0.27118644 0.59405941
0.80314961 0.69318182 0.25615764 0.56923077 0.46153846 0.59633028
0.39805825 0.39130435 0.09578544 0.62867647 0.25 0.17808219
0.43678161 0.1754386 0.78532609 0.53374233 0. 0.26666667
0.20183486 0.55502392 0.68992248 0.34375 0.5 0.56493506
0.59235669 0.40729483 0.76388889 0.0546875 0.60669456 0.89811321
0.69293478 0.39673913 0.37755102 0.79816514 0.48818898 0.12195122
0.43846154 0.57608696 0.5733945 0.29090909 0.27522936 0.23684211
0.52336449 0.225 0.83631714 0.87096774 0.94285714 0.93209877
0.86666667 0.66666667 0.35784314 0.77564103 0.70697674 0.73722628]
Accuracy: top 1: 56.65% top 5: 84.11%