vision
https://github.com/pytorch/vision
Python
Datasets, Transforms and Models specific to Computer Vision
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- Issues
- [build] Linux aarch64 wheels are build with manylinux_2_34_aarch64 tag according to auditwheel check
- Setting a single negative value or a couple of negative values to `sigma` argument of `ElasticTransform()` doesn't get error against the error message
- `sigma` argument of `ElasticTransform()` should completely avoid negative values, giving error and the doc should have the explanation.
- `alpha` argument of `ElasticTransform()` should completely avoid negative values, giving error and the doc should have the explanation.
- Celeba dataset can not be downloaded
- Setting a 2D tensor to `RandomAffine()` after instantiation got other error message against error message
- torchvision.transforms.v2.JPEG does not work on ROCm
- Soft Non-Maximum Suppression (Soft-NMS) for Object Detection in torchvision.ops
- `CocoDetection()` doesn't work using some train and validation images with some annotations
- Add BoundingBoxes class information
- Docs
- Python not yet supported