Train and test models to recognize actions in videos using 3D ResNets on your own computer.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime3D ResNets for Action Recognition (CVPR 2018)
3D-ResNets-PyTorch has 4k stars on GitHub. It has been forked 926 times. 3D-ResNets-PyTorch is written mainly in Python. It has been in active development since 2017. 3D-ResNets-PyTorch is available under the MIT license. Its main topics are action-recognition, computer-vision, deep-learning, python.
3D ResNets for Action Recognition (CVPR 2018)
3D-ResNets-PyTorch is an open-source project. It is released under the MIT license.
Yes. 3D-ResNets-PyTorch is free and open source — you can use, modify and self-host it.
3D-ResNets-PyTorch is available under the MIT license.
3D-ResNets-PyTorch is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/kenshohara-3d-resnets-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.