bddppq/vision
Datasets, Transforms and Models specific to Computer Vision
torchvision
.. image:: https://travis-ci.org/pytorch/vision.svg?branch=master
:target: https://travis-ci.org/pytorch/vision
.. image:: https://codecov.io/gh/pytorch/vision/branch/master/graph/badge.svg
:target: https://codecov.io/gh/pytorch/vision
.. image:: https://pepy.tech/badge/torchvision
:target: https://pepy.tech/project/torchvision
.. image:: https://img.shields.io/badge/dynamic/json.svg?label=docs&url=https%3A%2F%2Fpypi.org%2Fpypi%2Ftorchvision%2Fjson&query=%24.info.version&colorB=brightgreen&prefix=v
:target: https://pytorch.org/docs/stable/torchvision/index.html
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
Installation
Anaconda:
.. code:: bash
conda install torchvision -c pytorch
pip:
.. code:: bash
pip install torchvision
From source:
.. code:: bash
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 :code:torchvision.set_image_backend('accimage')
.. _Pillow : https://python-pillow.org/
.. _Pillow-SIMD : https://github.com/uploadcare/pillow-simd
.. _accimage: https://github.com/pytorch/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.