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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.

Languages

Jupyter Notebook83.0%Python17.0%
BSD 3-Clause "New" or "Revised" License
Created May 7, 2019
Updated May 7, 2019
bddppq/vision | GitHunt