* tools.alignments - add export job
* plugins.extract: Update __repr__ for ExtractorBatch dataclass
* plugins.extract: Initial implementation of external import plugins
* plugins.extract: Disable lm masks on ROI alignment data import
* lib.align: Add `landmark_type` property to AlignedFace and return dummy data for ROI Landmarks pose estimate
* plugins.extract: Add centering config item for align import and fix filename mapping for images
* plugins.extract: Log warning on downstream plugins on limited alignment data
* tools: Fix plugins for 4 point ROI landmarks (alignments, sort, mask)
* tools.manual: Fix for 2D-4 ROI landmarks
* training: Fix for 4 point ROI landmarks
* lib.convert: Average color plugin. Avoid divide by zero errors
* extract - external:
- Default detector to 'external' when importing alignments
- Handle different frame origin co-ordinates
* alignments: Store video extension in alignments file
* plugins.extract.external: Handle video file keys
* plugins.extract.external: Output warning if missing data
* locales + docs
* plugins.extract.align.external: Roll the corner points to top-left for different origins
* Clean up
* linting fix
* Add LR Finder support structure
* Move trainer.Feeder to lib.training.generator
* Expose model.io
* Add lr_finder
* Update docs and locales
* Pre-PR fixups
- Fix training graph not displaying
- CI fixes
- Switch lr finder progress to tqdm
- Exit lr finder early on NaN
- Display lr finder progress in GUI
- implement configurable re-align function in extract
- update locales + documentation
- re-factor align._base and split to separate modules
- move normalization method to plugin parent
- bugfix: FAN use zeros for pre-processing crop
- lint AlignedFilter
- Standardize image data reading and writing
- Optimize loading (just one pass required)
- Make all sort groups binnable (to greater or lesser results)
- Add sort by pitch
- Deprecate multiple options
- linting, docs + locales
- lib.detected_face
- Subclass Masks for Landmark based masks
- Add training mask propery + methods to DetectedFace
- lib.training_training
- subclass TrainingDataGenerator for training and preview data
- Split cache into own module
- Reduce thread count to 1 to prevent image corruption + data re-use
- Process on largest model input/output size rather than stored image size
- Size and crop masks during caching stage
- Implement ring buffer for data flow
- Fix preview reload bug
- augmentation
- typing
- switch color aug order
- better initialization
- Fix warp + landmark warp to correctly apply at different image scales
- Slightly improved warp caching
- Don't store whether image is_preview. Handle all data as training images implicitly
- plugins.trainer: Typing and fixes to work with trainingdata refactor
- Add Flip for AMD and TF
- Split Perceptual Loss functions to own modules
- Fix allowed input shape for models
- Allow GUI tooltip to display at higher width
