This codebase demonstrates how to load and play with FLAME, a lightweight and expressive generic face model to be presented in:
Tianye Li*, Timo Bolkart*, Michael J. Black, Hao Li, and Javier Romero, Learning a model of facial shape and expression from 4D scans, ACM Transactions on Graphics (Proc. SIGGRAPH Asia) 2017
With this code, you can:
- Load and evaluate FLAME model
- Fit FLAME model to 3D landmarks
To request for FLAME model and registrations, please see the project page
This repo is maintained by Tianye Li. The codes in smpl_webuser are directly from SMPL Python code.
This code uses Python 2.7 and need the following dependencies:
Clone the git project:
$ git clone https://github.com/Rubikplayer/flame-fitting.git
Set up virtual environment:
$ mkdir <your_home_dir>/.virtualenvs
$ virtualenv --system-site-packages <your_home_dir>/.virtualenvs/flame
Activate virtual environment:
$ cd flame-fitting
$ source <your_home_dir>/.virtualenvs/flame/bin/activate
Update the PYTHONPATH environment variable so that the system knows how to find the SMPL code. Add the following lines to your ~/.bash_profile file (create it if it doesn't exist; Linux users might have ~/.bashrc file instead), set the location to where you clone the project to.
FLAME_LOCATION=<flame_project_dir>
export PYTHONPATH=$PYTHONPATH:$FLAME_LOCATION
and run:
$ source ~/.bash_profile
To install numpy, scipy and chumpy:
$ pip install numpy
$ pip install scipy
$ pip install chumpy
To deactivate the virtual environment:
$ deactivate
See hello_world.py and facefit_lmk3d.py for the demos.
Tianye Li*, Timo Bolkart*, Michael J. Black, Hao Li, and Javier Romero. 2017. Learning a model of facial shape and expression from 4D scans. ACM Trans. Graph. 36, 6, Article 194 (November 2017), 17 pages. https://doi.org/10.1145/3130800.3130813
Free for non-commercial and scientific research purposes. By using this code, you acknowledge that you have read the terms and conditions (http://flame.is.tue.mpg.de/data_license), understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not use the code. You further agree to cite the FLAME paper when reporting results with this model.