github.com/pytorch/vision @v0.27.1 sqlite
README
torchvision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
Installation
Please refer to the official
instructions to install the stable
versions of torch and torchvision on your system.
To build source, refer to our contributing page.
The following is the corresponding torchvision versions and supported Python
versions.
torch |
torchvision |
Python |
|---|---|---|
main / nightly |
main / nightly |
>=3.10, <=3.14 |
2.10 |
0.25 |
>=3.10, <=3.14 |
2.9 |
0.24 |
>=3.10, <=3.14 |
2.8 |
0.23 |
>=3.9, <=3.13 |
2.7 |
0.22 |
>=3.9, <=3.13 |
2.6 |
0.21 |
>=3.9, <=3.12 |
older versions
torch |
torchvision |
Python |
|---|---|---|
2.5 |
0.20 |
>=3.9, <=3.12 |
2.4 |
0.19 |
>=3.8, <=3.12 |
2.3 |
0.18 |
>=3.8, <=3.12 |
2.2 |
0.17 |
>=3.8, <=3.11 |
2.1 |
0.16 |
>=3.8, <=3.11 |
2.0 |
0.15 |
>=3.8, <=3.11 |
1.13 |
0.14 |
>=3.7.2, <=3.10 |
1.12 |
0.13 |
>=3.7, <=3.10 |
1.11 |
0.12 |
>=3.7, <=3.10 |
1.10 |
0.11 |
>=3.6, <=3.9 |
1.9 |
0.10 |
>=3.6, <=3.9 |
1.8 |
0.9 |
>=3.6, <=3.9 |
1.7 |
0.8 |
>=3.6, <=3.9 |
1.6 |
0.7 |
>=3.6, <=3.8 |
1.5 |
0.6 |
>=3.5, <=3.8 |
1.4 |
0.5 |
==2.7, >=3.5, <=3.8 |
1.3 |
0.4.2 / 0.4.3 |
==2.7, >=3.5, <=3.7 |
1.2 |
0.4.1 |
==2.7, >=3.5, <=3.7 |
1.1 |
0.3 |
==2.7, >=3.5, <=3.7 |
<=1.0 |
0.2 |
==2.7, >=3.5, <=3.7 |
Image Backends
Torchvision currently supports the following image backends:
- torch tensors
- PIL images:
- Pillow
- Pillow-SIMD - a much faster drop-in replacement for Pillow with SIMD.
Read more in in our docs.
Documentation
You can find the API documentation on the pytorch website: https://pytorch.org/vision/stable/index.html
Contributing
See the CONTRIBUTING file for how to help out.
Disclaimer on Datasets
This is a utility library that downloads and prepares public datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have license to use the dataset. It is your responsibility to determine whether you have permission to use the dataset under the dataset's license.
If you're a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML community!
Pre-trained Model License
The pre-trained models provided in this library may have their own licenses or terms and conditions derived from the dataset used for training. It is your responsibility to determine whether you have permission to use the models for your use case.
More specifically, SWAG models are released under the CC-BY-NC 4.0 license. See SWAG LICENSE for additional details.
Citing TorchVision
If you find TorchVision useful in your work, please consider citing the following BibTeX entry:
@software{torchvision2016,
title = {TorchVision: PyTorch's Computer Vision library},
author = {TorchVision maintainers and contributors},
year = 2016,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/pytorch/vision}}
}
Core symbols most depended-on inside this repo
toShape
Languages
Modules by API surface
Used by 4 indexed graphs manifest dependencies, hub-wide
Dependencies from manifests, versioned
For agents
$ claude mcp add vision \
-- python -m otcore.mcp_server <graph>