Update torchvision requirement from ~=0.19 to ~=0.20

[dependabot]

Updates the requirements on torchvision to permit the latest version.

Release notes

Sourced from torchvision's releases.

Torchvision 0.20 release

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

... (truncated)

Commits

• afc54f7 Remove lint job for release 0.20 (#8674)
• 8e8a208 [Cherry-pick for 0.20] Expose transforms.v2 utils for writing custom transfor...
• 2d8a288 [Cherry-Pick for 0.20] Revamp decoding docs (#8633) (#8666)
• 7f4d561 Remove prototype from release/0.20 branch (#8657)
• 4a94962 Use @​release/2.5 instead of @​main for CI jobs (#8646)
• db5f8a0 Fix compile with nvjpeg on Windows CUDA 12 (#8641)
• 00e7fa1 Fix f-string in color error message (#8639)
• 838ad6c Allow decoding functions to accept the mode parameter as a string (#8627)
• d0ebeb5 Allow decode_image to support paths (#8624)
• c36025a Remove unwanted printf in avif decoder (#8621)
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