vision
https://github.com/pytorch/vision
Python
Datasets, Transforms and Models specific to Computer Vision
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Help out
- Issues
- "arbitrary number of leading dimensions" only supports up to 4 dimensions
- Change number of coco classes in detection recipe
- DeformConv2d offset and mask backprop
- Document other weight meta-data fields
- install torchvision on jetson nano
- Add option to choose the loss function in `compute_loss` function.
- Use OpInfos for operator tests
- Sort Tables for docs
- Allow weight tables to be sorted and searchable
- Single channel support for optical flow
- Docs
- Python not yet supported