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TorchVision 0.25 Release

TorchVision 0.25 is out! It is compatible with torch 2.10. It's a small release that comes with the following improvements:

Enhancement

[transforms] KeyPoints aren't clamped by default anymore after a transform. This is a bug-fix that comes with a change of behavior. We also added the SanitizeKeyPoints transform to remove keypoints outside of the image area (#9236, #9235) [utils] draw_bounding_boxes now supports a label_background_colors parameter (#9204) [io] Fixed an issue in the GIF decoder (decode_gif, decode_image) which affected some (not all) animated GIFs. (#9241) [misc] Various code-quality and docs improvements (#9218, #9270, #9250, #9247)

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:

Andrei Moraru, Andrey Talman, Antoine Simoulin , Arun Prakash A, Björn Barz, Huy Do, Nicolas Hug, Sean Gilligan, Wes Castro, Zhitao Yu

TorchVision 0.24.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

Torchvision 0.24 release

Improving KeyPoints and Rotated boxes support!

We are releasing a tutorial on how to use KeyPoint transformations in our Transforms on KeyPoints with a preview below!

[!NOTE] These features are still in BETA status. The API are unlikely to change, but we may have some rough edges and we may make some slight bug fixes in future releases. Please let us know if you encounter any issue!

Detailed changes

Improvements

[ops] Improve efficiency of the box_area and box_iou functions by eliminating the intermediate to "xyxy" conversion (#8992) [ops] Update box operations to support arbitrary batch dimensions (#9058) [utils] Add control for the background color of label text boxes (#9204) [transforms] Add support for uint8 image format to the GaussianNoise transform (#9169) [transforms] Accelerate the resize transform on machines with AVX512 (#9190) [transforms] Better error handling in RandomApply for empty list of transforms (#9130) [documentation] New tutorial for KeyPoints transforms (#9209) [documentation] Various documentation improvements (#9186, #9180, #9172) [code quality] Various code quality improvements (#9193, #9161, #9201, #9218, #9160)

Bug Fixes and deprecations

[transforms] Fix output of some geometric transforms for rotated boxes (#9181, #9175) [transforms] Fix clamping for key points and add sanitization feature (#9236, #9235) [datasets] Update download links to official repo for the Caltech-101 & 256 datasets (#9205)

... (truncated)

• 8ac84ee [Cherry-pick for release/0.25] Fix the dataset test failures (#9327) (#9329)
• 82df5f5 [Release 0.25] Update test-infra refs (#9312)
• 8886375 [Release 0.25] Remove CVCUDA stuff - it'll be released in 0.26 (#9313)
• 5e40fe8 [Release 0.25] Remove prototype stuff (#9310)
• 85b9027 [Release 0.25] update version number (#9311)
• 96e7797 Remove r2 upload for wheels (#9303)
• 6b56de1 Implement Flip transforms with CVCUDA backend (#9277)
• dccf466 Add CI testing job with CV-CUDA support (#9285)
• 617079d Restore the workflow to update vision repo viable/strict (#9274)
• 2d82dc5 Introducing CVCUDA Backend (#9259)
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