image and video datasets and models for torch deep learning

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Reason this release was yanked:

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

Project description

torch-vision

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 soumith

pip:

pip install torchvision

>From source:

python setup.py install

Documentation

You can find the API doucmentation 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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0.22.0

0.21.0

0.20.1

0.20.0

0.19.1

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0.15.0 yanked

Reason this release was yanked:

Contains an incorrect torch dependency

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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

0.2.1 yanked

Reason this release was yanked:

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

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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