OpenFaceWrapper

Wrapping OpenFace into a shared library ✨✨

The current code includes a wrapper to extract 2D/3D face landmarks, head position and rotation, and action units. Feel free to request a pull with further functionality!

Follow the instructions below to build the library for Unix or Windows environment.

Compiled library for Windows available at compiled_libraries folder.

Unix

Dependency installation

Install same dependencies as OpenFace https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation

OpenCv

Same as in OpenFace.

wget https://github.com/opencv/opencv/archive/4.1.0.zip
unzip 4.1.0.zip
cd opencv-4.1.0
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_TIFF=ON -D WITH_TBB=ON -D BUILD_SHARED_LIBS=OFF ..
cmake --build . -j 4
sudo make install
cd ..

Dlib

Compared to Openface installation, here we use an additional flag when running cmake.

wget http://dlib.net/files/dlib-19.13.tar.bz2;
tar xf dlib-19.13.tar.bz2;
cd dlib-19.13;
mkdir build;
cd build;
cmake .. -DCMAKE_CXX_FLAGS="-fPIC"
cmake --build . --config Release -j 4
sudo make install
sudo ldconfig
cd ..

OpenFace

Download Openface.

wget https://github.com/TadasBaltrusaitis/OpenFace/archive/OpenFace_2.2.0.zip
unzip OpenFace_2.2.0.zip

Compile OpenFaceWrapper

Download and build OpenFaceWrapper to generate shared library .so.

git clone https://github.com/crisie/OpenFaceWrapper.git
cd OpenFaceWrapper
mkdir build 
cd build
cmake -D OPENFACE_DIR='your-openface-path' -D CMAKE_CXX_COMPILER=g++-8 -D CMAKE_C_COMPILER=gcc-8 -D CMAKE_BUILD_TYPE=RELEASE ..
cmake --build . --target OpenFaceWrapper -j 4

Copy all the OpenFace models and AU_predictors to the folder in which you run the app importing the shared lib.

Windows

1. Install same dependencies as OpenFace https://github.com/TadasBaltrusaitis/OpenFace/wiki/Windows-Installation.

2. Open Visual Studio project and modify Include directories and Additional Library Directories items according to your paths definitions, so that they point to the 3rd party OpenFace libraries.

3. Build project. It will produce a DLL file in the Release folder.

4. Copy all the OpenFace models and AU_predictors to the folder in which you run the app importing the shared lib.