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Tadas Baltrusaitis edited this page Apr 28, 2016 · 32 revisions

For Unix based systems and different compilers, I included Cmake files for cross-platform and cross-IDE support.

Ubuntu 14 installation

This code has been tested on Ubuntu 14.04.1

Dependency installation

This requires cmake, OpenCV 3.1.0 (or newer), tbb and boost.

To acquire all of the dependencies follow the steps:

  1. Get newest GCC, done using:

    sudo apt-get update

    sudo apt-get install build-essential

  2. Cmake:

    sudo apt-get install cmake

  3. Get BLAS (for dlib)

    sudo apt-get install libopenblas-dev liblapack-dev

  4. OpenCV 3.1.0

    4.1 Install OpenCV dependencies:

     sudo apt-get install git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

 sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev checkinstall

    4.2 Download OpenCV 3.1.0 from https://github.com/Itseez/opencv/archive/3.1.0.zip

     wget https://github.com/Itseez/opencv/archive/3.1.0.zip

    4.3 Unzip it and create a build folder:

     sudo unzip 3.1.0.zip
 cd opencv-3.1.0
 mkdir build
 cd build

    4.4 Build it using:

     cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_SHARED_LIBS=OFF ..

    make -j2

    sudo make install

  5. Get Boost:

    sudo apt-get install libboost1.55-all-dev

    alternatively: sudo apt-get install libboost-all-dev

Actual OpenFace installation

  1. Get OpenFace

    git clone https://github.com/TadasBaltrusaitis/OpenFace.git

  2. Compile it using

    cd OpenFace cmake -D CMAKE_BUILD_TYPE=RELEASE . make

  3. Test it with

    • for videos:

      ./bin/FaceLandmarkVid -f "./videos/changeLighting.wmv" -f "./videos/0188_03_021_al_pacino.avi" -f "./videos/0217_03_006_alanis_morissette.avi" -f "./videos/0244_03_004_anderson_cooper.avi"

    • for images:

      ./bin/FaceLandmarkImg -fdir "./videos/" -ofdir "./demo_img/" -oidir "./demo_img/" -wild

    • for multiple faces in videos:

      ./bin/FaceLandmarkVidMulti -f ./videos/multi_face.avi

    • for feature extraction (facial landmarks, head pose, AUs, gaze and HOG and similarity aligned faces):

      ./bin/FeatureExtraction -rigid -verbose -f "./videos/default.wmv" -of "output_features/default.txt" -simalign output_features/aligned

Troubleshooting

If you experience a problem with "cannon connect to X server" when trying to execute the tracker, a solution can be found here http://askubuntu.com/questions/64820/wkhtmltopdf-wkhtmltoimage-cannot-connect-to-x-server, to resolve run: apt-get install xvfb

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