facebookresearch/pytorchvideo
A PyTorch deep learning library for video understanding research, providing pretrained video models and components.
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PyTorchVideo is a Facebook Research library focused on video understanding research. It provides deep learning components, pretrained models (including X3D and SlowFast architectures), and training pipelines for video-related tasks like action detection and classification. The library is optimized for efficient inference and integrates with Huggingface Spaces for model deployment.
Frequently asked
- What is facebookresearch/pytorchvideo?
- A PyTorch deep learning library for video understanding research, providing pretrained video models and components.
- Is pytorchvideo open source?
- Yes — facebookresearch/pytorchvideo is open source, released under the Apache-2.0 license.
- What language is pytorchvideo written in?
- facebookresearch/pytorchvideo is primarily written in Python.
- How popular is pytorchvideo?
- facebookresearch/pytorchvideo has 3.6k stars on GitHub.
- Where can I find pytorchvideo?
- facebookresearch/pytorchvideo is on GitHub at https://github.com/facebookresearch/pytorchvideo.