It can integrate it into the executable file (static edition) or it can store a reference to the library (dynamic edition). The linker has two ways to use an external library. Finally, it generates the executable file. During this step, the linker checks that all the parts are compatible with one another and each referenced function or object is available. o files and the external libraries to form the executable file. The second step is linking, consisting in taking all the. Under Linux, headers are usually stored in the /usr/include and /usr/local/include directories, but there is an option for the compiler to add other directories to this list. cpp file, but it also needs to have access to all the. During this phase, the compiler needs the.
#INSTALL CMAKE UNIX CODE#
o object files containing the binary code that the machine is able to run. The first step consists in compiling the source files, the.
This installation is very simple thanks to cmake.įirst of all, let's have a short reminder of C++ and of the different steps of the life of a program written in C++.
#INSTALL CMAKE UNIX HOW TO#
OpenBLAS : Program will terminate because you tried to start too many threads.This week, we are going to show you how to compile our C++ programming library under Linux and to install it as a system library.
OpenFace uses OpenBLAS to accelerate numerical computations and TBB for parallelization, in some cases the threading of OpenBLAS and TBB clash.
Usr/lib/x86_64-linux-gnu/libsoxr.so.0: undefined reference to error: ld returned 1 exit status OpenBLAS This results in OpenFace giving the error: When Anaconda is installed, somehow OpenCV finds the outdated GCC 4.x instead of GCC 5.4, according to: If you experience a problem with "cannot connect to X server" when trying to execute the tracker, a solution can be found here, to resolve run: bin/FeatureExtraction -verbose -f "./samples/default.wmv" samples/multi_face.aviįor feature extraction (facial landmarks, head pose, AUs, gaze and HOG and similarity aligned faces): bin/FaceLandmarkImg -fdir "./samples/" -wild bin/FaceLandmarkVid -f "./samples/changeLighting.wmv" -f "./samples/-15-14.avi" If you already have any of the following dependencies you can skip those stepsĬmake -D CMAKE_CXX_COMPILER=g++-8 -D CMAKE_C_COMPILER=gcc-8 -D CMAKE_BUILD_TYPE=RELEASE. OpenFace requires cmake, OpenCV 4.0.0 (or newer), OpenBLAS, dlib, C++17 compiler (tbb and boost are optional additional dependencies that will be used if present). This code has been tested on Ubuntu 14.04, 16.04, and 18.04 with a C++17 GCC compiler (clang should also work, but was not tested extensively) Dependency installation install.sh, or if it fails)įor Unix based systems and different compilers, I included Cmake files for cross-platform and cross-IDE support. See below stepsįor more details on model downloads see - Advanced Ubuntu installation (if not using. However, this is not recommended if you already have a number of dependencies installed (see below) and want to link to them instead of getting another version. This is recommended if you are not as familiar with compiling C++ code or installing libraries. download_models.sh followed by sudo bash. On most systems you can install OpenFace using the bash.
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