Highlights

Detailed changes

Image decoding

Torchvision continues to improve its image decoding capabilities. For this version, we added support for HEIC and AVIF image formats. Things are a bit different this time: to enable it, you'll need to pip install torchvision-extra-decoders, and the decoders are available in torchvision as torchvision.io.decode_heic() and torchvision.io.decode_avif(). This is still experimental / BETA, so let us know if you encounter any issue.

Read more in our docs!

New Features

[io] Add support for decoding AVIF and HEIC image formats (#8671)

Improvements

[datasets] Don't error when dataset is already downloaded (#8691)
[datasets] Don't print when dataset is already downloaded (#8681)
[datasets] remove printing info in datasets (#8683)
[utils] Add label_colors argument to draw_bounding_boxes (#8578)
[models] Add __deepcopy__ support for DualGraphModule (#8708)
[Docs] Various documentation improvements (#8798, #8709, #8576, #8620, #8846, #8758)
[Code quality] Various code quality improvements (#8757, #8755, #8754, #8689, #8719, #8772, #8774, #8791, #8705)

Bug Fixes

[io] Fix memory leak in decode_webp (#8712)
[io] Fix pyav 14 compatibility error (#8776)
[models] Fix order of auxiliary networks in googlenet.py (#8743)
[transforms] Fix adjust_hue on ARM (#8618)
[reference scripts] Fix error when loading the cached dataset in video classification reference(#8727)
[build] fix CUDA build with NVCC_FLAGS in env (#8692)

Tracked Regressions

[build] aarch64 builds are build with manylinux_2_34_aarch64 tag according to auditwheel check (#8883)

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:

amdfaa Andreas Floros, Andrey Talman , Beh Chuen Yang, David Miguel Susano Pinto, GdoongMathew, Jason Chou, Li-Huai (Allan) Lin, Maohua Li, Nicolas Hug , pblwk, R. Yao, sclarkson, vfdev, Ștefan Talpalaru