Difference between revisions of "Openface: Instalasi di Ubuntu 16.04 Server"

Latest revision as of 16:55, 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

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

Difference between revisions of "Openface: Instalasi di Ubuntu 16.04 Server"

Latest revision as of 16:55, 22 May 2018

Contents

Instalasi Aplikasi Pendukung

Instalasi Openface

Test

Referensi

Navigation menu

Search

@@ Line 1: / Line 1: @@
 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
-.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
-.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
-.3 Unzip it and create a build folder:
-     sudo unzip 3.4.0.zip
-     cd opencv-3.4.0
-     mkdir build
-     cd build
-.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 Install LLVM and Clang dependencies:
-    sudo apt-get update
-    sudo apt-get install build-essential
-.2 Install LLVM:
-    sudo apt-get install llvm
-.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
-.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
-.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
-.3 Unzip it and create a build folder:
-     sudo unzip 3.4.0.zip
-     cd opencv-3.4.0
-     mkdir build
-     cd build
-.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:
-.1 Install boost dependency:
-    sudo apt-get install libbz2-dev
-.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
-.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==
 * https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation