OpenBLAS : Program will terminate because you tried to start too many threads. 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 One of the options will give you access to the command line. That's when you should repeatedly press F8 until you see the advanced GRUB boot options. This results in OpenFace giving the error: During your computer boot, it'll list its hardware. When Anaconda is installed, somehow OpenCV finds the outdated GCC 4.x instead of GCC 5.4, according to: If you experience a problem with "cannot connect to X server" when trying to execute the tracker, a solution can be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). Installing Anaconda At the time of writing this article, the latest stable version of Anaconda is version 2020.02. This tutorial will walk you through the installation of Anaconda Python Distribution on Ubuntu 20.04. 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 It also includes the conda command-line tool and a desktop graphical user interface called Anaconda Navigator. 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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