vision
https://github.com/pytorch/vision
Python
Datasets, Transforms and Models specific to Computer Vision
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- Issues
- RandomOrder transform now accepts torch.Tensor and works well with torch.seed
- move degenerate boxes to function
- Test mode dtypes in the ToDtype tests
- TensorDict X TransformsV2
- Transforms with nested tensor
- Add softmax_focal_loss() to allow multi-class focal loss
- fix and update Caltech101 target types
- torchvision.io.read_image should take file path or image encoded as bytes
- Caltech-101 doesn't load bboxes but it should.
- Generalized IOU loss doesn't handle 0-length and -width boxes correctly, expected 0.0 but got 1.0
- Docs
- Python not yet supported