vision
https://github.com/pytorch/vision
Python
Datasets, Transforms and Models specific to Computer Vision
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- Issues
- Torchvision Faster R-CNN onnx export with dynamic batch size fails during inference
- `ConvertBoundingBoxFormat` should support `inplace`
- [codemod] facebook-unused-include-check in fbcode/pytorch
- [free threading] Support for free threading Python in torchvision
- Setting `-5` and `5` to `sharpness_factor` argument of `RandomAdjustSharpness()` sharpens and blurs images respectively
- Setting `0` and `1` to `p` argument of `RandomAutocontrast()` gets the same results
- For `kernel_size` parameter, the doc of `GaussianBlur()` doesn't explain which is width or height
- Add compatibility for custom font sizes on bounding boxes
- torchvision_extra_decoders fails
- Torchvision 0.20.1 looks for jpeg9 on MacOS, while depending on libjpeg-turbo which only provides jpeg8
- Docs
- Python not yet supported