ddehueck / vision

Datasets, Transforms and Models specific to Computer Vision

torchvision

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.