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Changelog
Datasets, Transforms and Models specific to Computer Vision
Last updated about 1 month ago
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!
[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)
[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)
[ops] Raise error in drop_block[2,3]d by enforcing odd-sized block sizes (#9157)
[io] Removed deprecated video_reader video decoding backend. (#9208)
š 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: @alperenunlu, @AndreiMoraru123, @atalman, @AntoineSimoulin, @5had3z, @dcasbol, @GdoongMathew, @hrsvrn, @JonasKlotz, @zklaus, @NicolasHug, @rdong8, @scotts, @get9, @diaz-esparza, @ZainRizvi, @Callidior, and @pytorch/xla-devs
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