build(deps): update torchvision requirement from <=0.15.2,>=0.8 to >=0.8,<0.17 in /requirements

[dependabot]

Updates the requirements on torchvision to permit the latest version.

Release notes

Sourced from torchvision's releases.

TorchVision 0.16 - Transforms speedups, CutMix/MixUp, and MPS support!

Highlights

[BETA] Transforms and augmentations

Major speedups

The new transforms in torchvision.transforms.v2 support image classification, segmentation, detection, and video tasks. They are now 10%-40% faster than before! This is mostly achieved thanks to 2X-4X improvements made to v2.Resize(), which now supports native uint8 tensors for Bilinear and Bicubic mode. Output results are also now closer to PIL's! Check out our performance recommendations to learn more.

Additionally, torchvision now ships with libjpeg-turbo instead of libjpeg, which should significantly speed-up the jpeg decoding utilities (read_image, decode_jpeg), and avoid compatibility issues with PIL.

CutMix and MixUp

Long-awaited support for the CutMix and MixUp augmentations is now here! Check our tutorial to learn how to use them.

Towards stable V2 transforms

In the previous release 0.15 we BETA-released a new set of transforms in torchvision.transforms.v2 with native support for tasks like segmentation, detection, or videos. We have now stabilized the design decisions of these transforms and made further improvements in terms of speedups, usability, new transforms support, etc.

We're keeping the torchvision.transforms.v2 and torchvision.tv_tensors namespaces as BETA until 0.17 out of precaution, but we do not expect disruptive API changes in the future.

Whether you’re new to Torchvision transforms, or you’re already experienced with them, we encourage you to start with Getting started with transforms v2 in order to learn more about what can be done with the new v2 transforms.

Browse our main docs for general information and performance tips. The available transforms and functionals are listed in the API reference. Additional information and tutorials can also be found in our example gallery, e.g. Transforms v2: End-to-end object detection/segmentation example or How to write your own v2 transforms.

[BETA] MPS support

The nms and roi-align kernels (roi_align, roi_pool, ps_roi_align, ps_roi_pool) now support MPS. Thanks to Li-Huai (Allan) Lin for this contribution!

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Detailed Changes

Deprecations / Breaking changes

All changes below happened in the transforms.v2 and datapoints namespaces, which were BETA and protected with a warning. We do not expect other disruptive changes to these APIs moving forward!

[transforms.v2] to_grayscale() is not deprecated anymore (#7707) [transforms.v2] Renaming: torchvision.datapoints.Datapoint -> torchvision.tv_tensors.TVTensor (#7904, #7894) [transforms.v2] Renaming: BoundingBox -> BoundingBoxes (#7778) [transforms.v2] Renaming: BoundingBoxes.spatial_size -> BoundingBoxes.canvas_size (#7734) [transforms.v2] All public method on TVTensor classes (previously: Datapoint classes) were removed [transforms.v2] transforms.v2.utils is now private. (#7863) [transforms.v2] Remove wrap_like class method and add tv_tensors.wrap() function (#7832)

... (truncated)

Commits

• fbb4cc5 remove torchvision.prototype module and related tests / CI from release branc...
• a90e584 [CHERRYPICK] PIL fill len 1 seq / float fill for int images (#7951)
• eab7cfb Update versions in readme.md (#7941)
• 704f831 Use regular env setup (#7924)
• 1044d0f [CHERRYPICK] downgrade warnign for F.rotate with center and expand=True (#7921)
• d60d5e7 [CHERRYPICK] allow sequence fill for v2 AA scripted (#7920)
• f588fd1 [Cherry pick] rename BoundingBoxes module to match class name (#7910) (#7918)
• 6fa2469 Try to turn off DEBUG mode when building for release (#7914)
• ab6f1ed [Release-Only] Branch Cut - Bump vision Version 0.16.0 (#7913)
• f1b4c7a Fixed sigma input type for v2.GaussianBlur (#7887)
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📚 Documentation preview 📚: https://torchmetrics--2157.org.readthedocs.build/en/2157/

[codecov]

Codecov Report

Merging #2157 (01ca0d8) into master (f236a44) will not change coverage.
The diff coverage is n/a.

Additional details and impacted files

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