Datasets, Transforms and Models specific to Computer Vision
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README.rst

torchvision

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The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.

Installation

Anaconda:

conda install torchvision -c pytorch

pip:

pip install torchvision

From source:

python setup.py install

Image Backend

Torchvision currently supports the following image backends:

  • Pillow (default)
  • Pillow-SIMD - a much faster drop-in replacement for Pillow with SIMD. If installed will be used as the default.
  • accimage - if installed can be activated by calling torchvision.set_image_backend('accimage')

Documentation

You can find the API documentation on the pytorch website: http://pytorch.org/docs/master/torchvision/

Contributing

We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.