image and video datasets and models for torch deep learning

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Reason this release was yanked:

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Project description

torchvision

https://travis-ci.org/pytorch/vision.svg?branch=master

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.

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0.20.1

0.20.0

0.19.1

0.19.0

0.18.1

0.18.0

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0.15.0 yanked

Reason this release was yanked:

Contains an incorrect torch dependency

0.14.1

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0.11.0 yanked

Reason this release was yanked:

Dependency issue, depends on a version of torch that does not exist on pypi

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0.2.2.post3 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.2.2.post2 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.2.2 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11
This version

0.2.1 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.2.0 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.1.9 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.1.8 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.1.7 yanked

Reason this release was yanked:

So that users won't accidentally install this when using python 3.11

0.1.6 yanked

Reason this release was yanked:

0.1.6 is past it's support date and confuses users on unsupported platforms

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