Openface: Instalasi di Ubuntu 16.04 Server: Difference between revisions

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Sumber: https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation
Sumber: https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation


==Instalasi Aplikasi Pendukung==


sudo su
apt update
apt -y install build-essential cmake libopenblas-dev liblapack-dev \
git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev \
python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev \
libtiff-dev libdc1394-22-dev checkinstall unzip \
llvm clang libc++-dev libc++abi-dev libboost-all-dev


==Instalasi Openface==




Unix Installation
cd /usr/local/src
Tadas Baltrusaitis edited this page 10 days ago · 20 revisions
git clone https://github.com/TadasBaltrusaitis/OpenFace.git
Pages 13
cd OpenFace
chmod +x download_models.sh
./download_models.sh
./install.sh


    Home
'''NOTE:''' libjasper perlu dibuang dari install.sh di ubuntu 18.04
    Action Units
    API calls
    Code Layout
    Command line arguments
    Datasets
    Mac installation
    Model download
    Model Training
    Output Format
    Point Distribution Model
    Unix Installation
    Windows Installation


Clone this wiki locally
Jika berhasil, hasilnya
Install script


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.
..
..
[100%] Linking CXX executable ../../bin/FeatureExtraction
[100%] Built target FeatureExtraction
OpenFace successfully installed.


For more details on model downloads see - https://github.com/TadasBaltrusaitis/OpenFace/wiki/Model-acquisition
==Test==
Advanced Ubuntu installation


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


This code has been tested on Ubuntu 14.04.1 with GCC, and on 15.10 with Clang 3.7.1.
./bin/FaceLandmarkVid -f "../samples/changeLighting.wmv" -f "../samples/2015-10-15-15-14.avi"


You can also run the install.sh script for installing on Ubuntu 16.04 (it combines the following steps into one script)
for images:
Dependency installation


This requires cmake, OpenCV 3.1.0 (or newer), tbb and boost.
./bin/FaceLandmarkImg -fdir "../samples/" -wild
 
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


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"


==Referensi==
==Referensi==


* https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation
* https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation

Latest revision as of 09:55, 22 May 2018

Sumber: https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation

Instalasi Aplikasi Pendukung

sudo su
apt update
apt -y install build-essential cmake libopenblas-dev liblapack-dev \
git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev \
python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev \
libtiff-dev libdc1394-22-dev checkinstall unzip \
llvm clang libc++-dev libc++abi-dev libboost-all-dev

Instalasi Openface

cd /usr/local/src
git clone https://github.com/TadasBaltrusaitis/OpenFace.git
cd OpenFace
chmod +x download_models.sh 
./download_models.sh
./install.sh

NOTE: libjasper perlu dibuang dari install.sh di ubuntu 18.04

Jika berhasil, hasilnya 

..
..
[100%] Linking CXX executable ../../bin/FeatureExtraction
[100%] Built target FeatureExtraction
OpenFace successfully installed.

Test

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"

Referensi

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