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ssv2_medium_2clip.log
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ssv2_medium_2clip.log
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=> dataset: somethingv2
=> root_path: /tmp/
=> num_classes: 174
Initializing RubiksNet-Medium variant "rubiks3d". num_frames=8
=> RubiksShift3D
=> tier: medium
=> variant: rubiks3d
=> eval mode: 2-clip
video 0 done, total 0/24777, average 0.757 sec/video, moving Prec@1 66.250 Prec@5 90.000
video 1600 done, total 1600/24777, average 0.049 sec/video, moving Prec@1 61.726 Prec@5 86.845
video 3200 done, total 3200/24777, average 0.035 sec/video, moving Prec@1 62.530 Prec@5 87.622
video 4800 done, total 4800/24777, average 0.031 sec/video, moving Prec@1 61.516 Prec@5 86.701
video 6400 done, total 6400/24777, average 0.029 sec/video, moving Prec@1 61.281 Prec@5 86.574
video 8000 done, total 8000/24777, average 0.028 sec/video, moving Prec@1 61.064 Prec@5 86.584
video 9600 done, total 9600/24777, average 0.027 sec/video, moving Prec@1 61.219 Prec@5 86.488
video 11200 done, total 11200/24777, average 0.027 sec/video, moving Prec@1 61.321 Prec@5 86.605
video 12800 done, total 12800/24777, average 0.026 sec/video, moving Prec@1 61.320 Prec@5 86.592
video 14400 done, total 14400/24777, average 0.026 sec/video, moving Prec@1 61.174 Prec@5 86.844
video 16000 done, total 16000/24777, average 0.025 sec/video, moving Prec@1 61.020 Prec@5 86.835
video 17600 done, total 17600/24777, average 0.025 sec/video, moving Prec@1 60.826 Prec@5 86.821
video 19200 done, total 19200/24777, average 0.025 sec/video, moving Prec@1 60.773 Prec@5 86.727
video 20800 done, total 20800/24777, average 0.025 sec/video, moving Prec@1 60.709 Prec@5 86.767
video 22400 done, total 22400/24777, average 0.025 sec/video, moving Prec@1 60.730 Prec@5 86.877
video 24000 done, total 24000/24777, average 0.025 sec/video, moving Prec@1 60.714 Prec@5 86.840
====================== Evaluation Complete ======================
Class confusion matrix:
[0.90517241 0.42763158 0.38562092 0.72815534 0.53846154 0.62280702
0.82494005 0.60606061 0.61417323 0.64900662 0.61797753 0.62043796
0.35470085 0.375 0.79649123 0.5106383 0.40609137 0.38157895
0.48535565 0.58767773 0.55511811 0.64035088 0.34883721 0.61702128
0.59090909 0.36842105 0.525 0.51485149 0.77272727 0.74329502
0.78378378 0.75675676 0.90909091 0.12621359 0.21686747 0.109375
0.85253456 0.80228137 0.12962963 0.64705882 0.76502732 0.64285714
0.64788732 0.62700965 0.71621622 0.59331476 0.57228916 0.41708543
0.37267081 0.85591398 0.70042194 0.06666667 0.375 0.62857143
0.375 0.36666667 0.47945205 0.6509434 0.17647059 0.85251799
0.56 0.31372549 0.73417722 0.14018692 0.16216216 0.66509434
0.23584906 0.45273632 0.71491228 0.37 0.51785714 0.47826087
0.51470588 0.64102564 0.67924528 0.36842105 0.16666667 0.42307692
0.18518519 0.79310345 0.1875 0.152 0.27659574 0.40425532
0.65333333 0.44444444 0.85882353 0.856 0.20833333 0.04819277
0.49275362 0.88333333 0.56140351 0.832 0.83050847 0.23611111
0.14705882 0.25619835 0.60204082 0.74358974 0.53207547 0.63736264
0.29310345 0.71428571 0.81889764 0.80740741 0.55821918 0.75369458
0.37837838 0.50333333 0.52112676 0. 0.56115108 0.30555556
0.69791667 0.45652174 0.55555556 0.76190476 0.38983051 0.62376238
0.76377953 0.79545455 0.37438424 0.69230769 0.51923077 0.67431193
0.36893204 0.47826087 0.14942529 0.69852941 0.3 0.17808219
0.54022989 0.24561404 0.78804348 0.57361963 0.17647059 0.35
0.26605505 0.68899522 0.69379845 0.46875 0.53125 0.6038961
0.70700637 0.47720365 0.79166667 0.0546875 0.71966527 0.9245283
0.74456522 0.48913043 0.39795918 0.82568807 0.52755906 0.17073171
0.45384615 0.6576087 0.62385321 0.34545455 0.31192661 0.38157895
0.46728972 0.375 0.86445013 0.85483871 0.96428571 0.89506173
0.83333333 0.76 0.50490196 0.78846154 0.77209302 0.79562044]
Accuracy: top 1: 60.78% top 5: 86.90%