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video-classification-3d-cnn-pytorch
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video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

by kenshohara · GitHub
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action-recognitioncomputer-visioncomputer-vision-toolsMITPython
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In plain words

Classify actions in videos using a trained model that recognizes 400 different actions.

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2026-07-202026-08-31
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Video classification tools using 3D ResNet

video-classification-3d-cnn-pytorch has 1.1k stars on GitHub. It has been forked 254 times. video-classification-3d-cnn-pytorch is written mainly in Python. It has been in active development since 2017. video-classification-3d-cnn-pytorch is available under the MIT license. Its main topics are action-recognition, computer-vision, computer-vision-tools, deep-learning.

Frequently asked questions

What is video-classification-3d-cnn-pytorch?

Video classification tools using 3D ResNet

Is video-classification-3d-cnn-pytorch open source?

video-classification-3d-cnn-pytorch is an open-source project. It is released under the MIT license.

Is video-classification-3d-cnn-pytorch free?

Yes. video-classification-3d-cnn-pytorch is free and open source — you can use, modify and self-host it.

What license does video-classification-3d-cnn-pytorch use?

video-classification-3d-cnn-pytorch is available under the MIT license.

What language is video-classification-3d-cnn-pytorch written in?

video-classification-3d-cnn-pytorch is written mainly in Python.

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