- Name output nodes of models
- Add support for multiple outputs in models and in training
- Update loss output format for cli and gui
- Sort graphs tabs on training
- Fix analysis graph for new loss names
- Multi output support in convert
* Training: Add Convolutional Aware Initialization config option
* Centralize Conv2D layer for handling initializer
* Add 'is-output' to NNMeta to indicate that network is an output to the Model
Deprecation Warning: Rotation in Extract
Deprecation Warning: Multiple models within a single folder
Error Handling: Useful message for training size assertion error
Error Handling: Useful message for fewer images than batch size
Bugfix: BoundingBox object sometimes not available inside spawned process
Tool: Add tool to restore models from backup
Snapshot: Create snapshot based on total iterations rather than session iterations
Models: Move backup/snapshot functions to lib/model
Training: Output average loss since last save at each save iteration
GUI: display_page.py: minor logging update
- Add fan-amd details to Cli
- Update Extract Parallel Processing rules for plaidML
- Handle missing plaidML lib on amd flag
- Pass through correct loglevel from GPUStats to plaidml_tools
Remove FFMPEG from Conda Requirements
Fix Tensorboard logging for Tensorflow 1.13.1
Bump default Conda Tensorflow to 1.13.1
Update max python version to 3.7
Bugfix: Fully disable keypress monitor for GUI
Bugfix: Preview - Handle missing alignments file
Config changes:
- Separate plugin defaults into their own files
- Move mask_type to global training config
- Add ability to pass in custom config files
* Color Augmentation: Implement testing code
* Tweak Contrast and Lighting augmentation amounts
* Prevent color augmentation from entering timelapse
* Remove all augmentations from preview images
Convert - Force prediction batchsize to 1 when converting on CPU
Training: Move snapshot saving to outside of the save threads to avoid race condition
GUI Summary stats. Show iteration count for current training session (fixed to last save amount).
sysinfo,py: CUDNN Check fix for unsupported OSes
cli.py: More useful information
scripts/convert.py: Set processes to 1 if no images are passed in
cv2_dnn aligner: Fix bounding box for negative values
scripts/convert.py: Fix for incorrect frame ranges passed in
* Sort to vgg_face. Remove Face Recognition requirements
* Remove dlib components from setup.py
* Remove dlib from Windows Installer script
* Remove dlib and cmake from requirements.txt
* Update INSTALL.md to remove all dlib requirements
* Remove dlib and cmake from dockerfiles
* Windows installer. Output cli to details Window. Setup.py bugfix
* Skip FaceFilter if invalid paths passed in
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