vision
https://github.com/pytorch/vision
Python
Datasets, Transforms and Models specific to Computer Vision
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- Issues
- Fix CPU segfault in roi_align when a ROI is non-finite (NaN or ±inf)
- Guard dataset tar extraction against path traversal (TarSlip)
- Round gaussian_blur outputs before OpenCV reference compare.
- Remove broken phototour dataset
- `ElasticTransform` is slow for larger images and/or sigma
- Faster ElasticTransform using separable Gaussian filters
- `transforms.v2.Normalize` caused small `H2D` and cpu waits gpu if process image on gpu
- [BE] Use mtl_setArgs for ROI ops
- Fix DTD partition validation using `and` instead of `or`
- `torchvision.transforms.v2.functional.pad` should have maintained the `channels_last` format of the input
- Docs
- Python not yet supported