- Remove lib.utils.keras_backend_quiet and replace with get_backend() where relevant
- Document lib.gpu_stats and lib.sys_info
- Remove call to GPUStats.is_plaidml from convert and replace with get_backend()
- lib.gui.menu - typofix
* Clarification of Phases
When multi-processing, the status bar description lists the phase as only Detect. This is misleading and there likely should be a reference to the multiple simutaneous phases being run.
* Simplify Communication
* 1st Round update for Python 3.7, TF1.15, Keras2.3
Move Tensorflow logging verbosity prior to first tensorflow import
Keras Optimizers and nn_block update
lib.logger - Change tf deprecation messages from WARNING to DEBUG
Raise Tensorflow Max version check to 1.15
Update requirements and conda check for python 3.7+
Update install scripts, travis and documentation to Python 3.7
* Revert Keras to 2.2.4
* Smart Masks - Training
- Reinstate smart mask training code
- Reinstate mask_type back to model.config
- change 'replicate_input_mask to 'learn_mask'
- Add learn mask option
- Add mask loading from alignments to plugins.train.trainer
- Add mask_blur and mask threshold options
- _base.py - Pass mask options through training_opts dict
- plugins.train.model - check for mask_type not None for learn_mask and penalized_mask_loss
- Limit alignments loading to just those faces that appear in the training folder
- Raise error if not all training images have an alignment, and alignment file is required
- lib.training_data - Mask generation code
- lib.faces_detect - cv2 dimension stripping bugfix
- Remove cv2 linting code
* Update mask helptext in cli.py
* Fix Warp to Landmarks
Remove SHA1 hashing from training data
* Update mask training config
* Capture missing masks at training init
* lib.image.read_image_batch - Return filenames with batch for ordering
* scripts.train - Documentation
* plugins.train.trainer - documentation
* Ensure backward compatibility.
Fix convert for new predicted masks
* Update removed masks to components for legacy models.
* lib.gui: Update icons
* tools.cli: Add video filetype flag to mask input
* lib.gui.popup_configure: Refresh GUI on config save
* lib.gui._config: Add Icon size and load last session options
* lib.gui.control_helper - Add control modification tracking
* lib.gui - Add Projects and Last Session
- Main root title handled by projects
- Add Hotkeys
- Create projects module
- split fsw and fst filetypes
- Add last_session saving
* lib.project
- Documentation
- Ask confirm on closing unsaved project
-Fixups
* Track model folder changes
- Shuffle some globals
- Activate System Verbosity for GUI
* lib.gui.utils - Documentation and clean up
- lib.gui.custom_widgets - Create and document
* Add GUI config option to disable auto loading model stats
Limit queue sizes to reduce RAM usage
Rename lib.image.BackgroundIO to ImageIO
Create separate ImagesLoader and ImagesSaver classes
Load/Save images from centralized lib.image.ImageIO
scripts.extract documentation
- Lint simple_tests.py
- Only reformat alignments file if it exists otherwise change filename
- Update legacy alignments to new format at all stages
- faces_detect.Mask.from_dict - logging format fix
- convert.py fix otf for new pipeline
- cli.py - Add note that masks not used. Revert convert masks
- faces_detect.py - Revert non-extract code
- Add .p and .pickle extensions for serializer
- plugins/extract revert some changes
- scripts/fsmedia - Revert code changes
- Pipeline - cleanup
- Consistant alpha channel stripping (fixes single-process)
- Store landmarks as numpy array
- Code attribution
- Normalize feed face and reference face to 0.0 - 1.0 in convert
- Lock in mask VRAM sized
- Add documentation to plugin_loader
- Update alignments tool to work with new format
- Remove legacy update hashes
- Remove legacy job from alignment-tools
- Remove legacy landmark rotation
- Add rotate face method to plugins/extract/detect
- Update travis test for new alignments extension
- Alignments format to .fsa
- Remove serializer option from alignments-tool
- Auto update legacy format alignment files to new format
- Add new serializers (npy + compressed)
- Remove Serializer option from cli
- Revert get_aligned call in scripts/extract
- Default alignments to compressed
- Size masks to 128px and compress
- Remove mask thresholding/blur from generation code
- Add Mask class to lib/faces_detect
- Revert debug landmarks to aligned face
- Revert non-extraction code to staging version
* Standardize serialization
- Linting
- Standardize serializer use throughout code
- Extend serializer to load and save files
- Always load and save in utf-8
- Create documentation
* Move image utils to lib.image
* Add .pylintrc file
* Remove some cv2 pylint ignores
* TrainingData: Load images from disk in batches
* TrainingData: get_landmarks to batch
* TrainingData: transform and flip to batches
* TrainingData: Optimize color augmentation
* TrainingData: Optimize target and random_warp
* TrainingData - Convert _get_closest_match for batching
* TrainingData: Warp To Landmarks optimized
* Save models to threadpoolexecutor
* Move stack_images, Rename ImageManipulation. ImageAugmentation Docstrings
* Masks: Set dtype and threshold for lib.masks based on input face
* Docstrings and Documentation
* requirements.txt: - Pin opencv to 4.1.1 (fixes cv2-dnn error)
* lib.face_detect.DetectedFace: change LandmarksXY to landmarks_xy. Add left, right, top, bottom attributes
* lib.model.session: Session manager for loading models into different graphs (for Nvidia + CPU)
* plugins.extract._base: New parent class for all extract plugins
* plugins.extract.pipeline. Remove MultiProcessing. Dynamically limit batchsize for Nvidia cards. Remove loglevel input
* S3FD + FAN plugins. Standardise to Keras version for all backends
* Standardize all extract plugins to new threaded codebase
* Documentation. Start implementing Numpy style docstrings for Sphinx Documentation
* Remove s3fd_amd. Change convert OTF to expect DetectedFace object
* faces_detect - clean up and documentation
* Remove PoolProcess
* Migrate manual tool to new extract workflow
* Remove AMD specific extractor code from cli and plugins
* Sort tool to new extract workflow
* Remove multiprocessing from project
* Remove multiprocessing queues from QueueManager
* Remove multiprocessing support from logger
* Move face_filter to new extraction pipeline
* Alignments landmarksXY > landmarks_xy and legacy handling
* Intercept get_backend for sphinx doc build
# Add Sphinx documentation
* GUI Improvements
- Add basic GUI Config options (available in settings menu)
- Dynamically add/remove columns on settings panel resize
- Wrap text properly on info headers
- Fix helptext formatting for configs
- Standardize Tooltip widths
- [code] Apply some widget naming
- [code] Rename radio_columns to option_columns
- [code] fix column count checking
- Add Starting Tab config item
- Add info boxes to main pages
- Global font settings
- Add resources to help menu
- Fix tootlp formatting
- Revert to single column view
- Fix borders on ungrouped items
- Add individual tooltips for Radio options
- Add more groups
- Remove forced fullscreen
torzdf