Ptlflow

Added

- Support for AutoFlow dataset
- New models:
- CRAFT
- CSFlow
- FlowFormer
- GMFlow
- GMFlowNet

Fixed

- Compatibility issues with PyTorch Lightning 1.6

Added

- FastFlowNet model

Fixed

- Check if max_steps has negative value (the new standard value in newer PyTorch Lightning versions)

Added

- GMA model
- SCV model

Added

- DICL model
- LCV with RAFT model

Fixed

- Check if an input is an array before showing as an image during validation

Added

- MaskFlownet model
- Script for generating predictions for the test split of some datasets (currently Sintel and KITTI)

Fixed

- Inference uses no_grad annotation
- Threshold values for computing outlier metric and update table of results
- Some utility functions did not pass through all the keys from the input dicts

Added

- STaRFlow model
- Interactive plots with Plotly

Fixed

- Flow values when input images were resized during validation