Metadata-Version: 1.0
Name: torchvision
Version: 0.2.1
Summary: image and video datasets and models for torch deep learning
Home-page: https://github.com/pytorch/vision
Author: PyTorch Core Team
Author-email: soumith@pytorch.org
License: BSD
Description: torchvision
        ============
        
        .. image:: https://travis-ci.org/pytorch/vision.svg?branch=master
            :target: https://travis-ci.org/pytorch/vision
        
        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.
        
Platform: UNKNOWN
