Update dependency torchvision to v0.20.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
torchvision	0.19.1 -> 0.20.0

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Release Notes

pytorch/vision (torchvision)

v0.20.0: Torchvision 0.20 release

Compare Source

Highlights

Encoding / Decoding images

Torchvision is further extending its encoding/decoding capabilities. For this version, we added a WEBP decoder, and a batch JPEG decoder on CUDA GPUs, which can lead to 10X speed-ups over CPU decoding.

We have also improved the UX of our decoding APIs to be more user-friendly. The main entry point is now torchvision.io.decode_image(), and it can take as input either a path (as str or pathlib.Path), or a tensor containing the raw encoded data.

Read more on the docs!

We also added support for HEIC and AVIF decoding, but these are currently only available when building from source. We are working on making those available directly in the upcoming releases. Stay tuned!

Detailed changes

Bug Fixes

[datasets] Update URL of SBDataset train_noval (#​8551)
[datasets] EuroSAT: fix SSL certificate issues (#​8563)
[io] Check average_rate availability in video reader (#​8548)

New Features

[io] Add batch JPEG GPU decoding (decode_jpeg()) (#​8496)
[io] Add WEBP image decoder: decode_image(), decode_webp() (#​8527, #​8612, #​8610)
[io] Add HEIC and AVIF decoders, only available when building from source (#​8597, #​8596, #​8647, #​8613, #​8621)

Improvements

[io] Add support for decoding 16bits png (#​8524)
[io] Allow decoding functions to accept the mode parameter as a string (#​8627)
[io] Allow decode_image() to support paths (#​8624)
[io] Automatically send video to CPU in io.write_video (#​8537)
[datasets] Better progress bar for file downloading (#​8556)
[datasets] Add Path type annotation for ImageFolder (#​8526)
[ops] Register nms and roi_align Autocast policy for PyTorch Intel GPU backend (#​8541)
[transforms] Use Sequence for parameters type checking in transforms.RandomErase (#​8615)
[transforms] Support v2.functional.gaussian_blur backprop (#​8486)
[transforms] Expose transforms.v2 utils for writing custom transforms. (#​8670)
[utils] Fix f-string in color error message (#​8639)
[packaging] Revamped and improved debuggability of setup.py build (#​8535, #​8581, #​8581, #​8582, #​8590, #​8533, #​8528, #​8659)
[Documentation] Various documentation improvements (#​8605, #​8611, #​8506, #​8507, #​8539, #​8512, #​8513, #​8583, #​8633)
[tests] Various tests improvements (#​8580, #​8553, #​8523, #​8617, #​8518, #​8579, #​8558, #​8617, #​8641)
[code quality] Various code quality improvements (#​8552, #​8555, #​8516, #​8526, #​8602, #​8615, #​8639, #​8532)
[ci] #​8562, #​8644, #​8592, #​8542, #​8594, #​8530, #​8656

Contributors

We're grateful for our community, which helps us improve torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

Adam J. Stewart, AJS Payne, Andreas Floros, Andrey Talman, Bhavay Malhotra, Brizar, deekay42, Ehsan, Feng Yuan, Joseph Macaranas, Martin, Masahiro Hiramori, Nicolas Hug, Nikita Shulga , Sergii Dymchenko, Stefan Baumann, venkatram-dev, Wang, Chuanqi

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[renovate]

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

• any of the package files in this branch needs updating, or
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The artifact failure details are included below:

File name: poetry.lock

Updating dependencies
Resolving dependencies...

Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package
Directory /tmp/renovate/repos/github/IQTLabs/rfml/torchsig for torchsig does not seem to be a Python package

Because torchvision (0.20.0) depends on torch (2.5.0)
 and rfml depends on torch (2.4.1), torchvision is forbidden.
So, because rfml depends on torchvision (0.20.0), version solving failed.