Contents

torchvision 0.17.2

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image and video datasets and models for torch deep learning

image and video datasets and models for torch deep learning

Stars: 15332, Watchers: 15332, Forks: 6836, Open Issues: 985

The pytorch/vision repo was created 7 years ago and the last code push was 4 hours ago.
The project is extremely popular with a mindblowing 15332 github stars!

How to Install torchvision

You can install torchvision using pip

pip install torchvision

or add it to a project with poetry

poetry add torchvision

Package Details

Author
PyTorch Core Team
License
BSD
Homepage
https://github.com/pytorch/vision
PyPi:
https://pypi.org/project/torchvision/
GitHub Repo:
https://github.com/pytorch/vision
No  torchvision  pypi packages just yet.

Errors

A list of common torchvision errors.

Code Examples

Here are some torchvision code examples and snippets.

GitHub Issues

The torchvision package has 985 open issues on GitHub

  • fix bug when the target is empty
  • FCOS empty box images
  • Replace Assert statement with ValueError message.
  • changed assert to ValueError in backbone_utils
  • Add support for get_metadata() in GPU decoder
  • [WIP] Adding more ConvNeXt variants
  • video classification experiments using GPU decoder
  • video classification reference script with GPU decoder support
  • Add kinetics dataset to use new video reading API
  • Add support for get_metadata() in GPU decoder
  • Vectorize box decoding in FCOS model
  • [PoC] add test to check available feature types of prototype datasets
  • Change CPU decoder output frames to use ITU709 colour space
  • Allow more consistent degrees=None in RandomAffine constructor
  • [feature request] Derive all transforms classes from nn.Module?

See more issues on GitHub

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