Pssr

- Predicted images are saved when initially processed rather than simultaneously at the end
- Can now use increasing n_frames (e.g. n_frames=[5,10])
- Fixes

**Full Changelog**: https://github.com/ucsdmanorlab/PSSR2/compare/v2.1.0...v2.1.1

- Added reassemble_sheet function
- Moved normalize_preds to util
- predict_collage works with LR mode
- Fixes

**Full Changelog**: https://github.com/ucsdmanorlab/PSSR2/compare/v2.0.2...v2.1.0

Updated package metadata for PSSR2 consistency

**Full Changelog**: https://github.com/ucsdmanorlab/PSSR2/compare/v2.0.1...v2.0.2

- LR mode is set with lr_scale = -1 instead of None
- SaltPepper applies gain before crappification
- Better dataset repr
- Fixes

**Postfix**
- Fixed CLI arguments bug

**Full Changelog**: https://github.com/ucsdmanorlab/PSSR/compare/v2.0.0...v2.0.1

- Added PSSR Napari plugin (training, prediction, runtime monitoring, etc.)
- Renamed loss module to util
- Refactored/removed previous color handling system
- Auto n_frames value changed from None to -1
- Added callbacks on training batch steps
- Lowered required Python version from 3.10 to 3.9
- Model QOL improvements
- CLI properly works with nested objects
- Fixes

**Full Changelog**: https://github.com/ucsdmanorlab/PSSR/compare/v1.2.2...v2.0.0

- Added SwinIR model
- Altered LR mode functionality
- CLI improvements
- Fixes

**Full Changelog**: https://github.com/ucsdmanorlab/PSSR/compare/v1.2.1...v1.2.2