torchvision

image and video datasets and models for torch deep learning

These details have been verified by PyPI

Maintainers

atalman ezyang facebook malfet seemethere soumith

Project description

torchvision

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

The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.

Installation

TorchVision requires PyTorch 1.1 or newer.

Anaconda:

conda install torchvision -c pytorch

pip:

pip install torchvision

From source:

python setup.py install
# or, for OSX
# MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py install

By default, GPU support is built if CUDA is found and torch.cuda.is_available() is true. It’s possible to force building GPU support by setting FORCE_CUDA=1 environment variable, which is useful when building a docker image.

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')

C++ API

TorchVision also offers a C++ API that contains C++ equivalent of python models.

Installation From source:

mkdir build
cd build
cmake ..
make
make install

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.

Project details

These details have been verified by PyPI

Maintainers

atalman ezyang facebook malfet seemethere soumith

Release history Release notifications | RSS feed

0.20.1

Oct 29, 2024

0.20.0

Oct 17, 2024

0.19.1

Sep 4, 2024

0.19.0

Jul 24, 2024

0.18.1

Jun 5, 2024

0.18.0

Apr 24, 2024

0.17.2

Mar 27, 2024

0.17.1

Feb 22, 2024

0.17.0

Jan 30, 2024

0.16.2

Dec 14, 2023

0.16.1

Nov 15, 2023

0.16.0

Oct 4, 2023

0.15.2

May 8, 2023

0.15.1

Mar 15, 2023

0.15.0 yanked

Mar 15, 2023

Reason this release was yanked:

Contains an incorrect torch dependency

0.14.1

Dec 15, 2022

0.14.0

Oct 28, 2022

0.13.1

Aug 5, 2022

0.13.0

Jun 28, 2022

0.12.0

Mar 10, 2022

0.11.3

Jan 27, 2022

0.11.2

Dec 15, 2021

0.11.1

Oct 21, 2021

0.11.0 yanked

Oct 21, 2021

Reason this release was yanked:

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

0.10.1

Sep 20, 2021

0.10.0

Jun 15, 2021

0.9.1

Mar 25, 2021

0.9.0

Mar 4, 2021

0.8.2

Dec 10, 2020

0.8.1

Oct 27, 2020

0.8.0

Oct 27, 2020

0.7.0

Jul 28, 2020

0.6.1

Jun 18, 2020

0.6.0

Apr 21, 2020

0.5.0

Jan 15, 2020

This version

0.4.2

Nov 7, 2019

0.4.1.post2

Oct 22, 2019

0.4.1

Oct 10, 2019

0.4.0

Aug 8, 2019

0.3.0

May 22, 2019

0.2.2.post3 yanked

Mar 1, 2019

Reason this release was yanked:

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

0.2.2.post2 yanked

Feb 28, 2019

Reason this release was yanked:

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

0.2.2 yanked

Feb 27, 2019

Reason this release was yanked:

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

0.2.1 yanked

Apr 24, 2018

Reason this release was yanked:

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

0.2.0 yanked

Dec 5, 2017

Reason this release was yanked:

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

0.1.9 yanked

Aug 6, 2017

Reason this release was yanked:

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

0.1.8 yanked

Mar 29, 2017

Reason this release was yanked:

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

0.1.7 yanked

Jan 19, 2017

Reason this release was yanked:

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

0.1.6 yanked

Jan 18, 2017

Reason this release was yanked:

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

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torchvision 0.4.2

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