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tensorflow2.-c3d-sport1m's Introduction

Tensorflow2.-C3D-sport1m

C3Dnet Action pre-trained weights in Sport1M dataset in Tensorflow2.*

Pre-tained weight file

Google drive https://drive.google.com/file/d/1rlZ-xTkTMjgWKiQFUedRnHlDgQwx6yTm/view

Baidu cloud 链接:https://pan.baidu.com/s/133hQhKjRbPlOn4Dk_OKV9w 提取码:nxuz

Test Video

''' python test_video.py '''

Predict results

Top 5 probabilities and labels: basketball: 0.71757 streetball: 0.10378 volleyball: 0.05549 greco-roman wrestling: 0.02388 freestyle wrestling: 0.02178

Reference

https://github.com/Forrest-Gan/awesome-action-recognition https://github.com/axon-research/c3d-keras https://github.com/aslucki/C3D_Sport1M_keras https://gist.github.com/albertomontesg/d8b21a179c1e6cca0480ebdf292c34d2

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