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Datasets, Transforms and Models specific to Computer Vision

License: BSD 3-Clause "New" or "Revised" License

Python 16.97% Jupyter Notebook 83.03%

vision's Introduction

torchvision

image

image

image

image

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.

vision's People

Contributors

adamjstewart avatar alykhantejani avatar apaszke avatar ashok93 avatar bodokaiser avatar chsasank avatar colesbury avatar dizcza avatar ekagra-ranjan avatar fmassa avatar graingert avatar jaesuny avatar kashif avatar keon avatar kmike avatar kohr-h avatar lanpa avatar lukeyeager avatar maratyszcza avatar moskomule avatar ntomita avatar skrish13 avatar soumith avatar ssnl avatar surgan12 avatar thecodez avatar uridah avatar vfdev-5 avatar vishwakftw avatar willfrey avatar

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