Video classification tools using 3D ResNet
Classify actions in videos using a trained model that recognizes 400 different actions.
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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.
Video classification tools using 3D ResNet
video-classification-3d-cnn-pytorch is an open-source project. It is released under the MIT license.
Yes. video-classification-3d-cnn-pytorch is free and open source — you can use, modify and self-host it.
video-classification-3d-cnn-pytorch is available under the MIT license.
video-classification-3d-cnn-pytorch is written mainly in Python.
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