markerless facial animation capture and real-time viseme detection

• Uses OpenCV and dlib in conjunction with OpenFace to use 68-point facial landmark detection to detect Action Units based on the FACS model.
• Use ZeroMQ to communicate the Action Unit (AU) intensity to Unity3D/Unreal Engine 4 project for real-time demonstration or via a PyMEL pipeline to Maya for keyframe recording (TODO)
• Use RNNNoise to denoise microphone input and feed it to VisemeNet to extract the relevant visemes. Apply it to a Daz3D Genesis 3 model in Maya via the PyMEL pipeline.

This repository is dependent upon OpenFace and VisemeNet and the licenses of both should be respected if you end up using anything from this repository.