org.pytorch:torchvision_ops
Datasets, Transforms and Models specific to Computer Vision
Science Score: 54.0%
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24 of 626 committers (3.8%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (9.8%) to scientific vocabulary
Keywords
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Repository
Datasets, Transforms and Models specific to Computer Vision
Basic Info
- Host: GitHub
- Owner: pytorch
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: https://pytorch.org/vision
- Size: 1.17 GB
Statistics
- Stars: 17,111
- Watchers: 470
- Forks: 7,145
- Open Issues: 1,135
- Releases: 49
Topics
Metadata Files
README.md
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, <=3.13 |
| 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.
Using the models on C++
Refer to example/cpp.
DISCLAIMER: the libtorchvision library includes the torchvision
custom ops as well as most of the C++ torchvision APIs. Those APIs do not come
with any backward-compatibility guarantees and may change from one version to
the next. Only the Python APIs are stable and with backward-compatibility
guarantees. So, if you need stability within a C++ environment, your best bet is
to export the Python APIs via torchscript.
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:
bibtex
@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}}
}
Owner
- Name: pytorch
- Login: pytorch
- Kind: organization
- Location: where the eigens are valued
- Website: https://pytorch.org
- Repositories: 83
- Profile: https://github.com/pytorch
Citation (CITATION.cff)
cff-version: 1.2.0 title: "TorchVision: PyTorch's Computer Vision library" message: >- If you find TorchVision useful in your work, please consider citing the following BibTeX entry. type: software authors: - given-names: TorchVision maintainers and contributors url: "https://github.com/pytorch/vision" license: "BSD-3-Clause" date-released: "2016-11-06" journal: "GitHub repository" publisher: "GitHub" key: "torchvision2016"
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Philip Meier | g****r@p****e | 655 |
| Nicolas Hug | n****g@g****m | 533 |
| Vasilis Vryniotis | d****x | 389 |
| Francisco Massa | f****a@g****m | 232 |
| vfdev | v****5@g****m | 214 |
| Andrey Talman | a****n@f****m | 76 |
| Prabhat Roy | p****y@f****m | 74 |
| Soumith Chintala | s****h@g****m | 72 |
| Aditya Oke | 4****a | 64 |
| F-G Fernandez | f****3@h****r | 53 |
| Joao Gomes | j****s@f****m | 45 |
| Nikita Shulga | n****a@f****m | 44 |
| Alykhan Tejani | a****i@g****m | 42 |
| YosuaMichael | y****m@g****m | 41 |
| peterjc123 | p****6@g****m | 35 |
| Bruno Korbar | b****k@g****m | 29 |
| ekka | e****n@g****m | 28 |
| Omkar Salpekar | o****r@g****m | 28 |
| Surgan Jandial | c****8@i****n | 27 |
| Philip Meier | g****e@o****e | 25 |
| Eli Uriegas | 1****e | 24 |
| Edward Z. Yang | e****g@f****m | 23 |
| Zhiqiang Wang | z****g@o****m | 22 |
| Edgar Andrés Margffoy Tuay | a****y@g****m | 22 |
| Sasank Chilamkurthy | s****y@g****m | 20 |
| Adam J. Stewart | a****6@g****m | 18 |
| eellison | e****n@b****u | 17 |
| Ponku | t****u@g****m | 15 |
| GdoongMathew | g****w@g****m | 15 |
| Hu Ye | x****c@g****m | 15 |
| and 596 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 827
- Total pull requests: 1,304
- Average time to close issues: 3 months
- Average time to close pull requests: 26 days
- Total issue authors: 495
- Total pull request authors: 230
- Average comments per issue: 3.0
- Average comments per pull request: 2.13
- Merged pull requests: 830
- Bot issues: 25
- Bot pull requests: 0
Past Year
- Issues: 278
- Pull requests: 455
- Average time to close issues: 13 days
- Average time to close pull requests: 8 days
- Issue authors: 146
- Pull request authors: 88
- Average comments per issue: 0.79
- Average comments per pull request: 1.72
- Merged pull requests: 278
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- hyperkai (108)
- NicolasHug (90)
- github-actions[bot] (25)
- pmeier (21)
- atalman (13)
- yurivict (7)
- adamjstewart (6)
- talcs (5)
- Egorundel (4)
- datumbox (4)
- tchaton (4)
- gau-nernst (4)
- david-csnmedia (3)
- Tomsen1410 (3)
- vadimkantorov (3)
Pull Request Authors
- NicolasHug (475)
- pmeier (125)
- atalman (94)
- GdoongMathew (32)
- vfdev-5 (26)
- AntoineSimoulin (26)
- ahmadsharif1 (22)
- deekay42 (18)
- kit1980 (16)
- malfet (14)
- venkatram-dev (12)
- ezyang (9)
- huydhn (9)
- scotts (8)
- adamjstewart (7)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 13
-
Total downloads:
- pypi 24,573,233 last-month
- Total docker downloads: 44,031,681
-
Total dependent packages: 2,112
(may contain duplicates) -
Total dependent repositories: 57,764
(may contain duplicates) - Total versions: 296
- Total maintainers: 12
pypi.org: torchvision
image and video datasets and models for torch deep learning
- Homepage: https://github.com/pytorch/vision
- Documentation: https://torchvision.readthedocs.io/
- License: BSD
-
Latest release: 0.23.0
published 7 months ago
Rankings
conda-forge.org: torchvision
- Homepage: http://pytorch.org/
- License: BSD-3-Clause
-
Latest release: 0.13.0
published over 3 years ago
Rankings
spack.io: py-torchvision
Image and video datasets and models for torch deep learning.
- Homepage: https://github.com/pytorch/vision
- License: []
-
Latest release: 0.12.0
published almost 4 years ago
Rankings
Maintainers (1)
pypi.org: torch-vision
image and video datasets and models for torch deep learning
- Homepage: https://github.com/pytorch/vision
- Documentation: https://torch-vision.readthedocs.io/
- License: BSD
-
Latest release: 0.1.6.dev0
published about 9 years ago
Rankings
Maintainers (1)
proxy.golang.org: github.com/pytorch/vision
- Documentation: https://pkg.go.dev/github.com/pytorch/vision#section-documentation
- License: bsd-3-clause
-
Latest release: v0.23.0
published 7 months ago
Rankings
anaconda.org: torchvision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
- Homepage: https://pytorch.org/
- License: BSD-3-Clause
-
Latest release: 0.20.1
published 10 months ago
Rankings
repo1.maven.org: org.pytorch:torchvision_ops
torchvision ops
- Homepage: https://github.com/pytorch/vision/
- Documentation: https://appdoc.app/artifact/org.pytorch/torchvision_ops/
- License: bsd-3-clause
-
Latest release: 0.14.0
published about 3 years ago
Rankings
pypi.org: torchvision-raspi
Torchvision for Raspberry Pi 3B armv7l
- Homepage: https://github.com/pytorch/vision
- Documentation: https://torchvision-raspi.readthedocs.io/
- License: BSD
-
Latest release: 0.2.1.1
published over 7 years ago
Rankings
Maintainers (1)
conda-forge.org: torchvision-cpu
- Homepage: http://pytorch.org/
- License: BSD-3-Clause
-
Latest release: 0.9.1
published over 4 years ago
Rankings
pypi.org: rpi-torchvision
image and video datasets and models for torch deep learning
- Homepage: https://github.com/pytorch/vision
- Documentation: https://rpi-torchvision.readthedocs.io/
- License: BSD
-
Latest release: 0.7.0
published almost 5 years ago
Rankings
Maintainers (1)
pypi.org: torchvisions390x
image and video datasets and models for torch deep learning
- Homepage: https://github.com/pytorch/vision
- Documentation: https://torchvisions390x.readthedocs.io/
- License: BSD
-
Latest release: 0.23.0a0
published 6 months ago
Rankings
Maintainers (1)
pypi.org: torchvision-abi
image and video datasets and models for torch deep learning
- Homepage: https://github.com/pytorch/vision
- Documentation: https://torchvision-abi.readthedocs.io/
- License: BSD
-
Latest release: 0.14.0a0
published almost 2 years ago
Rankings
Maintainers (1)
anaconda.org: torchvision-tests
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
- Homepage: https://pytorch.org/
- License: BSD-3-Clause
-
Latest release: 0.20.1
published 10 months ago
Rankings
Dependencies
- pytorch/test-infra/.github/actions/bc-lint main composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- mshick/add-pr-comment v1 composite
- JasonEtco/create-an-issue v2.4.0 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- com.facebook.fbjni:fbjni-java-only 0.0.3 implementation
- androidx.camera:camera-camera2 $camerax_version implementation
- androidx.camera:camera-core $camerax_version implementation
- com.android.support:appcompat-v7 28.0.0 implementation
- com.facebook.soloader:nativeloader 0.8.0 implementation
- com.google.android.material:material 1.0.0-beta01 implementation
- org.pytorch:pytorch_android $pytorchAndroidVersion implementation
- org.pytorch:pytorch_android_torchvision $pytorchAndroidVersion implementation
- matplotlib *
- numpy *
- pycocotools *
- sphinx ==5.0.0
- sphinx-copybutton >=0.3.1
- sphinx-gallery >=0.11.1
- tabulate *