pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.
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.
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
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Updates the requirements on torchvision to permit the latest version.
Release notes
Sourced from torchvision's releases.
... (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)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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