We have hosted the application pytorchvideo in order to run this application in our online workstations with Wine or directly.


Quick description about pytorchvideo:

PyTorchVideo is a deep learning library for Video understanding, providing modular components and pretrained models for tasks like action recognition, Video classification, detection, and self-supervised learning. It is tightly integrated with PyTorch and PyTorch Lightning, offering flexible APIs for building and training spatiotemporal networks. The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research prototyping and production inference. It supports Video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal Video analysis. Designed to accelerate research and deployment, it serves as a unified framework for reproducible, high-performance Video AI development.

Features:
  • Modular library for Video understanding with PyTorch integration
  • Pretrained models for action recognition, detection, and classification
  • Efficient data loaders and augmentation pipelines for large datasets
  • Optimized implementations of SlowFast, X3D, and MViT architectures
  • Distributed training, mixed precision, and production-ready inference tools
  • Compatibility with Detectron2 and PyTorch3D for multimodal workflows


Programming Language: Python.
Categories:
Libraries

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