This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.29.0 instead.
Reason given by maintainers: So that users won't accidentally install this when using python 3.11
torchvision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
Installation
Anaconda:
conda install torchvision -c pytorchpip:
pip install torchvisionFrom source:
python setup.py installImage 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.
5 maintainers
Release files for torchvision 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torchvision-0.2.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / torchvision-0.2.2-py2.py3-none-any.whl
| Download URL | torchvision-0.2.2-py2.py3-none-any.whl |
|---|---|
| Size | 64.3 kB |
| Tags | Python 2 Python 3 |
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