Welcome to FACSvatar’s documentation!

FACSvatar is a combination of the terms FACS and Avatar.

Code on GitHub: https://github.com/NumesSanguis/FACSvatar

See also

Don’t know where to start? Check out How to use FACSvatar (overview).

Getting Started:

• How to use FACSvatar (overview)
  • Trackers
  • Modules
  • Visualization and Avatars
  • Have fun! & disclaimers
• What is FACSvatar? (v0.4.0-Alpha)
  • Full documentation
  • Paper
  • New in v0.4.0-alpha (2020-07-??) TODO UNFINISHED
• Quickstart
  • Dockerized modules
  • Visualization engines
  • Quickstart video
• Find out more
  • Full documentation
  • 2017 promotion poster (English & 日本語)

FACSvatar modules:

• Module Overview
  • Core modules
  • Additional modules
• First run (non-Docker)
  • Prepare Python environment
  • Start modules
  • Data-drive your avatar
  • Next
• Programmable GUI (Jupyter Notebook)
  • Usage
• Module messaging standard
• Multi-machines setup
  • Modules
  • Visualization
• Docker
  • Port mapping
  • Advanced Docker commands
• Contributed modules
• Tutorial: Create your own module
  • Python

Trackers (framework input):

• OpenFace
  • Download OpenFace tracker models
  • Real-time GUI
  • Offline
  • Use your own videos
  • Build OpenFace with ZeroMQ

Visualization Engines (framework output):

• Blender
  • FACSvatar-Blender add-on
• Unity3D
• FACSHuman

Avatars:

• FACS Explained
  • Data format
• MB-Lab (Manuel Bastioni LAB)
  • Import MB-Lab into Unity3D
• Your own avatar

Advanced:

• Multi-machines setup
  • Modules
  • Visualization
• Multi-avatars setup

Miscellaneous:

• How to contribute
• Changelog
  • New v0.3.4-alpha - 2019-01
  • New v0.3.3-alpha
  • New/changes v0.3.2-alpha
  • New v0.3.1-alpha
• License info

miscellaneous

Indices and tables

• Index

• Module Index

• Search Page