⬆️ Bump torchvision from 0.19.1 to 0.28.0

[dependabot]

Bumps torchvision from 0.19.1 to 0.28.0.

Release notes

Sourced from torchvision's releases.

TorchVision 0.28.0 Release

TorchVision 0.28 is out! This is a small release whose main change is the removal of the deprecated video decoding and encoding APIs (read_video, write_video, read_video_timestamps, VideoReader) from torchvision.io. Video decoding and encoding has fully migrated to TorchCodec as a part of our efforts to re-focus TorchVision. On the transforms side, v2.Resize now accepts string interpolation modes (e.g. "bilinear") and correctly honors NEAREST_EXACT on masks.

Backwards Incompatible Changes

• Video decoding/encoding removed from torchvision.io; migrated to TorchCodec (#9451)

  read_video, write_video, read_video_timestamps, and VideoReader are no longer available in OSS torchvision, and the video-backed datasets now require TorchCodec. These APIs were deprecated (with warnings) in prior releases and are now gone.

  Symptoms you may hit:

  • ImportError: cannot import name 'read_video' from 'torchvision.io'
  • import torchvision.io.video raising ModuleNotFoundError/ImportError
  • From video datasets: ImportError: Video decoding capabilities were removed from torchvision and migrated to TorchCodec. Please install TorchCodec following instructions at https://github.com/pytorch/torchcodec#installing-torchcodec

  As an example, if you performed the following on TorchVision 0.27:

  from torchvision.io import read_video
  frames, audio, info = read_video("video.mp4")

  You would now achieve that with:

  # pip install torchcodec
  from torchcodec.decoders import VideoDecoder
  decoder = VideoDecoder("video.mp4")
  frames = decoder[:]  # or decoder.get_frames_in_range(...), etc.

  See the TorchCodec documentation for tutorials and API references.

Improvements

• Allow passing interpolation as a string (e.g. "bilinear", "nearest") in resize transforms, in addition to the InterpolationMode enum (#9461)
• tv_tensors.wrap() now preserves metadata for custom TVTensor subclasses — a subclass can define its own .wrap() method to control how it is re-wrapped (#9490)

Bug fixes

• Fix F.resize on tv_tensors.Mask to honor NEAREST_EXACT interpolation. Previously the interpolation argument was ignored for mask inputs (resize_mask hardcoded NEAREST), so NEAREST_EXACT silently produced plain NEAREST output (#9497)
• Fix a GIF decoder bug on malformed GIFs that could write outside the allocated tensor's memory (#9520)

TorchVision 0.27.1 Release

This is a patch release, which is compatible with PyTorch 2.12.1. There are no new features added.

TorchVision 0.27 Release

TorchVision 0.27 is out! This is a small release where the main improvement is the addition of the popular lanczos interpolation mode for the v2.Resize transform on CPU. Results are equivalent to PIL's, but you can expect TorchVision to be faster as it leverages AVX2 (on x86) and NEON paths (on ARM).

Improvements

[transforms] Add support for lanczos interpolation mode (#9459) [transforms] Drastically speed-up Resize on NEON ARM (#9439) [ops] Vectorize masks_to_boxes for performance (#9358) [ops, transforms] Add direct XYWH-CXCYWH conversion for better performance (#9326) [datasets] torchvision.datasets.voc: update dataset and project site URLs (#9216)

... (truncated)

Commits

• 8fb8771 [Cherry-pick for 0.28] Fix gif decoder bug (#9520) (#9521)
• 5a5dd12 Release 0.28 (#9511)
• 85a1dcc Remove prototype folder (#9505)
• 4252acb Move lint CI job to 3.10 (#9507)
• 8b6ba92 [torchvision] Move video utilities to internal fb/io location (#9433) (#9451)
• bd94a05 Remove use of deprecated quantized APIs in C++ code (#9500)
• 45eb6dd Fix resize_mask to honor NEAREST_EXACT interpolation (#9497)
• 87fb856 Remove obsolete FIXME in autoaugment.py (#9496)
• 7bba561 Allow strings for interpolation param in resize transforms (#9461)
• 4d4e406 Let wrap() preserve metadata for custom TVTensor subclasses (#9490)
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