added Intel's plaidML backend to use OpenCL engine. Check new requirements.
smart choosing of backend in device.py
env var 'force_plaidML' can be choosed to forced using plaidML
all tf functions transferred to pure keras
MTCNN transferred to pure keras, but it works slow on plaidML (forced to CPU in this case)
default batch size for all models and VRAMs now 4, feel free to adjust it on your own
SAE: default style options now ZERO, because there are no best values for all scenes, set them on your own.
SAE: return back option pixel_loss, feel free to enable it on your own.
SAE: added option multiscale_decoder default is true, but you can disable it to get 100% same as H,DF,LIAEF model behaviour.
fix converter output to .png
added linux fork reference to doc/doc_build_and_repository_info.md
- fixed nose missing one point
- made AA lines instead of regular ones
- made closed polylines for eyes and mouth
- reduced radius of circles for eyes, nose, and mouth as they obscure lines for small images
It could be difficult to tell if the point cloud was 'correct' or not
when manually fixing a face detection. For 68-point face landmarks, the
facial landmarks are now drawn to make it easier to tell if the face
is correctly detected.
