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ssv2_large_1clip.log
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ssv2_large_1clip.log
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=> dataset: somethingv2
=> root_path: /tmp/
=> num_classes: 174
Initializing RubiksNet-Large variant "rubiks3d". num_frames=8
=> RubiksShift3D
=> tier: large
=> variant: rubiks3d
=> eval mode: 1-clip
video 0 done, total 0/24777, average 0.442 sec/video, moving Prec@1 63.750 Prec@5 87.500
video 1600 done, total 1600/24777, average 0.027 sec/video, moving Prec@1 58.333 Prec@5 83.452
video 3200 done, total 3200/24777, average 0.017 sec/video, moving Prec@1 59.299 Prec@5 85.000
video 4800 done, total 4800/24777, average 0.013 sec/video, moving Prec@1 58.443 Prec@5 84.344
video 6400 done, total 6400/24777, average 0.011 sec/video, moving Prec@1 58.657 Prec@5 84.552
video 8000 done, total 8000/24777, average 0.010 sec/video, moving Prec@1 58.775 Prec@5 84.728
video 9600 done, total 9600/24777, average 0.010 sec/video, moving Prec@1 58.853 Prec@5 84.959
video 11200 done, total 11200/24777, average 0.009 sec/video, moving Prec@1 58.918 Prec@5 84.929
video 12800 done, total 12800/24777, average 0.009 sec/video, moving Prec@1 58.983 Prec@5 85.008
video 14400 done, total 14400/24777, average 0.008 sec/video, moving Prec@1 58.909 Prec@5 85.138
video 16000 done, total 16000/24777, average 0.008 sec/video, moving Prec@1 58.781 Prec@5 85.019
video 17600 done, total 17600/24777, average 0.008 sec/video, moving Prec@1 58.818 Prec@5 85.074
video 19200 done, total 19200/24777, average 0.008 sec/video, moving Prec@1 58.766 Prec@5 85.052
video 20800 done, total 20800/24777, average 0.008 sec/video, moving Prec@1 58.760 Prec@5 85.105
video 22400 done, total 22400/24777, average 0.008 sec/video, moving Prec@1 58.794 Prec@5 85.147
video 24000 done, total 24000/24777, average 0.008 sec/video, moving Prec@1 58.837 Prec@5 85.158
====================== Evaluation Complete ======================
Class confusion matrix:
[0.89655172 0.39473684 0.35294118 0.6407767 0.48717949 0.6622807
0.77458034 0.57575758 0.5511811 0.60264901 0.65168539 0.69343066
0.33333333 0.375 0.8 0.45957447 0.30964467 0.38815789
0.46861925 0.57345972 0.52362205 0.64035088 0.4127907 0.58510638
0.52272727 0.47368421 0.5 0.48514851 0.71818182 0.69731801
0.75675676 0.77477477 0.88636364 0.11650485 0.19277108 0.234375
0.83410138 0.76806084 0.16666667 0.70588235 0.72131148 0.69642857
0.67605634 0.61736334 0.7027027 0.52367688 0.56927711 0.44221106
0.44099379 0.83225806 0.72151899 0.13333333 0.40625 0.54285714
0.29166667 0.4 0.39041096 0.6509434 0.17647059 0.78776978
0.8 0.21568627 0.70886076 0.18691589 0.16216216 0.6509434
0.28301887 0.45273632 0.67105263 0.36 0.57142857 0.43478261
0.57352941 0.66666667 0.67924528 0.23684211 0.27777778 0.53846154
0.25925926 0.75862069 0.28125 0.104 0.36170213 0.42553191
0.65333333 0.44444444 0.81764706 0.816 0.20833333 0.09638554
0.42028986 0.8 0.59649123 0.744 0.75847458 0.19444444
0.14705882 0.25619835 0.60714286 0.7032967 0.40754717 0.67032967
0.30172414 0.71428571 0.75590551 0.76296296 0.52739726 0.69950739
0.45945946 0.47333333 0.63380282 0.11111111 0.54676259 0.44444444
0.6875 0.52173913 0.44444444 0.76190476 0.50847458 0.67326733
0.7480315 0.75 0.31527094 0.56923077 0.38461538 0.61009174
0.46601942 0.47826087 0.14942529 0.66911765 0.35714286 0.16438356
0.48275862 0.31578947 0.80163043 0.57055215 0.35294118 0.55
0.16513761 0.65550239 0.65503876 0.5 0.484375 0.57142857
0.59235669 0.45592705 0.75 0.0625 0.65690377 0.91320755
0.75815217 0.44565217 0.32653061 0.79816514 0.5511811 0.17073171
0.5 0.55434783 0.6146789 0.30909091 0.32110092 0.35526316
0.44859813 0.525 0.81329923 0.77419355 0.92857143 0.91358025
0.81666667 0.81333333 0.46078431 0.76602564 0.71627907 0.75182482]
Accuracy: top 1: 58.95% top 5: 85.19%