vision
https://github.com/pytorch/vision
Python
Datasets, Transforms and Models specific to Computer Vision
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- Issues
- Models input/output conventions (shape, preproc/postproc, etc.)
- Fix ONNX export of RAFT optical flow model
- MaxViT number of channel (input_channels) as a parameter
- remove fill blending for bilinear affine
- add grid transform zero fill shortcut
- Enable custom samplers for imbalanced datasets
- [Tests] Added torch compile checks for functional ops tests
- Discrepancy in output of torchvision.io.read_image vs PIL.Image
- Support for print_freq in evaluate method of engine.py
- `affine` creates artefacts on the edges of the image
- Docs
- Python not yet supported