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PyTorchVideo download for Windows

Free download PyTorchVideo Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named PyTorchVideo whose latest release can be downloaded as PyTorchVideoVersion0.1.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named PyTorchVideo with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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PyTorchVideo


DESCRIPTION

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

This is an application that can also be fetched from https://sourceforge.net/projects/pytorchvideo.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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