Openface: Instalasi di Ubuntu 18.04 Desktop
Sumber: https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation
On most systems you can install OpenFace using the download_models.sh followed by ./install.sh script, if that does not work, use the following steps.
For more details on model downloads see - https://github.com/TadasBaltrusaitis/OpenFace/wiki/Model-acquisition Advanced Ubuntu installation
For Unix based systems and different compilers, I included Cmake files for cross-platform and cross-IDE support.
This code has been tested on Ubuntu 14.04.1 with GCC, and on 15.10 with Clang 3.7.1.
You can also run the install.sh script for installing on Ubuntu 16.04 (it combines the following steps into one script) Dependency installation
This requires cmake, OpenCV 3.1.0 (or newer), tbb and boost.
To acquire all of the dependencies follow the instructions pertaining to your Operating System: Ubuntu gcc compiler instructions
Get newest GCC, done using:
sudo apt-get update
sudo apt-get install build-essential
Cmake:
sudo apt-get install cmake
Get BLAS (for dlib)
sudo apt-get install libopenblas-dev liblapack-dev
OpenCV 3.4.0
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 3.4.0 from https://github.com/opencv/opencv/archive/3.4.0.zip
wget https://github.com/opencv/opencv/archive/3.4.0.zip
4.3 Unzip it and create a build folder:
sudo unzip 3.4.0.zip
cd opencv-3.4.0
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
Get Boost:
sudo apt-get install libboost1.55-all-dev
alternatively: sudo apt-get install libboost-all-dev
Ubuntu clang compiler instructions
Get LLVM, Clang and libc++:
1.1 Install LLVM and Clang dependencies:
sudo apt-get update
sudo apt-get install build-essential
1.2 Install LLVM:
sudo apt-get install llvm
1.3 Install Clang along with relevant packages:
Check that the correct repository is enabled by inspecting '/etc/apt/sources.list':
sudo gedit /etc/apt/sources.list
If 'universe' is not included, modify the file so that it is:
deb http://us.archive.ubuntu.com/ubuntu wily main universe
After any such changes, update the system with:
sudo apt-get update
Get Clang and libc++:
sudo apt-get install clang libc++-dev libc++abi-dev
Get Cmake:
sudo apt-get install cmake
Get BLAS (for dlib)
sudo apt-get install libopenblas-dev liblapack-dev
OpenCV 3.4.0
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 3.4.0 from https://github.com/opencv/opencv/archive/3.4.0.zip
wget https://github.com/opencv/opencv/archive/3.4.0.zip
4.3 Unzip it and create a build folder:
sudo unzip 3.4.0.zip
cd opencv-3.4.0
mkdir build
cd build
4.4 Build it using:
cmake -D CMAKE_CXX_COMPILER=clang++ -D CMAKE_CXX_FLAGS="-std=c++11 -stdlib=libc++ -I/usr/include/libcxxabi" -D CMAKE_EXE_LINKER_FLAGS="-std=c++11 -stdlib=libc++ -lc++abi" -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=<path to opencv_contrib modules> -D BUILD_TIFF=ON -D WITH_V4L=ON -D WITH_GTK=ON -D BUILD_opencv_dnn=OFF -D WITH_TBB=ON ..
make -j2
sudo make install
Get Boost 1.61.0:
5.1 Install boost dependency:
sudo apt-get install libbz2-dev
5.2 Get the boost source:
Download boost_1_61_0.tar.bz2.
In the directory where you want to put the boost installation, execute:
tar --bzip2 -xf /path/to/boost_1_61_0.tar.bz2
5.3 Build and install:
cd path/to/boost_1_61_0
./bootstrap.sh --with-toolset=clang --prefix=/usr/local
./b2 toolset=clang cxxflags="-std=c++11 -stdlib=libc++ -I/usr/include/libcxxabi" linkflags="-stdlib=libc++" --prefix=/usr/local -j 10 define=BOOST_SYSTEM_NO_DEPRECATED stage release
sudo ./b2 install toolset=clang cxxflags="-std=c++11 -stdlib=libc++" linkflags="-stdlib=libc++" --prefix=/usr/local
Actual OpenFace installation
Get OpenFace
git clone https://github.com/TadasBaltrusaitis/OpenFace.git
Create an out-of-source build directory to store the compiled artifacts:
cd OpenFace
mkdir build
cd build
Compile the code using instructions pertaining to your operating system:
Ubuntu 14.04
cmake -D CMAKE_BUILD_TYPE=RELEASE ..
make
Ubuntu 15.10
cmake -D CMAKE_CXX_COMPILER=clang++ -D CMAKE_CXX_FLAGS="-std=c++11 -stdlib=libc++ -I/usr/include/libcxxabi" -D CMAKE_EXE_LINKER_FLAGS="-std=c++11 -stdlib=libc++ -lc++abi" -D CMAKE_BUILD_TYPE=RELEASE ..
make
Test it with
for videos:
./bin/FaceLandmarkVid -f "../samples/changeLighting.wmv" -f "../samples/2015-10-15-15-14.avi"
for images:
./bin/FaceLandmarkImg -fdir "../samples/" -wild
for multiple faces in videos:
./bin/FaceLandmarkVidMulti -f ../samples/multi_face.avi
for feature extraction (facial landmarks, head pose, AUs, gaze and HOG and similarity aligned faces):
./bin/FeatureExtraction -verbose -f "../samples/default.wmv"
Troubleshooting X server
If you experience a problem with "cannot 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 Anaconda
When Anaconda is installed, somehow OpenCV finds the outdated GCC 4.x instead of GCC 5.4, according to: https://stackoverflow.com/questions/40322301/compile-opencv-3-on-ubuntu-16-04-linking-error-usr-lib-x86-64-linux-gnu-libsox
This results in OpenFace giving the error: usr/lib/x86_64-linux-gnu/libsoxr.so.0: undefined reference to `GOMP_parallel@GOMP_4.0' collect2: error: ld returned 1 exit status