The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
Anaconda:
conda install torchvision -c pytorch
pip:
pip install torchvision
From source:
python setup.py install
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')
You can find the API documentation on the pytorch website: http://pytorch.org/docs/master/torchvision/
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.