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This installation section is only intended if you plan to modify the OpenPose code or integrate it with another library or project. If you just want to use the OpenPose demo in Windows, simply use the latest version of the OpenPose binaries which you can find in the Releases section.
nvidia-smi command checks the available GPU memory in Ubuntu).Note: These requirements assume the default configuration (i.e. --net_resolution "656x368" and scale_number 1). You might need more (with a greater net resolution and/or number of scales) or less resources (with smaller net resolution and/or using the MPI and MPI_4 models).
The first step is to clone the OpenPose repository.
git clone https://github.com/CMU-Perceptual-Computing-Lab/openpose
OpenPose can be easily updated by:
synchronization button at the top-right part in GitHub Desktop in Windows.git pull origin master.The instructions in this section describe the steps to build OpenPose using CMake (GUI). There are 3 main steps:
sudo apt-get install cmake-qt-gui. Note: If you prefer to use CMake through the command line, see Cmake Command Line Build.cmake-X.X.X-win64-x64.msi.sudo ubuntu/install_cuda.sh or alternatively download and install it from their website.sudo ubuntu/install_cudnn.sh or alternatively download and install it from their website./usr/local/cuda/ in Ubuntu and C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0 in Windows.sudo bash ./ubuntu/install_cmake.sh.apt-get install libopencv-dev. You can also use your own compiled OpenCV version..vcxproj file and changing the necessary paths from CUDA 8 to 9.models/pose/coco/.models/pose/mpi/.models/face/.models/hand/.3rdparty/windows/ so that CMake does not try to download them again.3rdparty/windows/caffe/.3rdparty/windows/caffe3rdparty/.3rdparty/windows/opencv/.build) where the Makefile files (Ubuntu) or Visual Studio solution (Windows) will be generated. If build does not exist, it will ask you whether to create it. Press Yes.
Configure button, keep the generator in Unix Makefile (Ubuntu) or set it to Visual Studio 14 2015 Win64 (Windows), and press Finish.
Configuring done text will appear in the bottom box in the last line. Otherwise, some red text will appear in that same bottom box.
Generate button and proceed to OpenPose Building. You can now close CMake.Note: If you prefer to use your own custom Caffe or OpenCV versions, see Custom Caffe or Custom OpenCV respectively.
Finally, build the project by running the following commands.
cd build/
make -j`nproc`
In order to build the project, open the Visual Studio solution (Windows), called build/OpenPose.sln. Then, set the configuration from Debug to Release and press the green triangle icon (alternatively press F5).
If you only intend to use the OpenPose demo, you might skip this step. This step is only recommended if you plan to use the OpenPose API from other projects.
To install the OpenPose headers and libraries into the system environment path (e.g. /usr/local/ or /usr/), run the following command.
cd build/
sudo make install
Once the installation is completed, you can use OpenPose in your other project using the find_package cmake command. Below, is a small example CMakeLists.txt. In order to use this script, you also need to copy FindGFlags.cmake and FindGlog.cmake into your <project_root_directory>/cmake/Modules/ (create the directory if necessary).
cmake_minimum_required(VERSION 2.8.7)
add_definitions(-std=c++11)
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/Modules")
find_package(GFlags)
find_package(Glog)
find_package(OpenCV)
find_package(OpenPose REQUIRED)
include_directories(${OpenPose_INCLUDE_DIRS} ${GFLAGS_INCLUDE_DIR} ${GLOG_INCLUDE_DIR} ${OpenCV_INCLUDE_DIRS})
add_executable(example.bin example.cpp)
target_link_libraries(example.bin ${OpenPose_LIBS} ${GFLAGS_LIBRARY} ${GLOG_LIBRARY} ${OpenCV_LIBS})
If Caffe was built with OpenPose, it will automatically find it. Otherwise, you will need to link Caffe again as shown below (otherwise, you might get an error like /usr/bin/ld: cannot find -lcaffe).
link_directories(<path_to_caffe_installation>/caffe/build/install/lib)
Check OpenPose was properly installed by running it on the default images, video, or webcam: doc/quick_start.md#quick-start.
In order to re-install OpenPose:
sudo make install, then run sudo make uninstall in build/.build/ folder.File --> Delete Cache.In order to uninstall OpenPose:
sudo make install, then run sudo make uninstall in build/.By default, the body MPI model is not downloaded. You can download it by turning on the DOWNLOAD_MPI_MODEL. It's slightly faster but less accurate and has less keypoints than the COCO body model.
You can include the 3D reconstruction module by:
{PointGreyParentDirectory}\Point Grey Research\Spinnaker\bin64\vs2015\ as {OpenPoseDirectory}\3rdparty\windows\spinnaker\bin\. You can remove all the *.exe files.{PointGreyParentDirectory}\Point Grey Research\Spinnaker\include\ as {OpenPoseDirectory}\3rdparty\windows\spinnaker\include\.Spinnaker_v140.lib and Spinnakerd_v140.lib from {PointGreyParentDirectory}\Point Grey Research\Spinnaker\lib64\vs2015\ into {OpenPoseDirectory}\3rdparty\windows\spinnaker\lib\.sudo apt-get update && sudo apt-get install build-essential freeglut3 freeglut3-dev libxmu-dev libxi-dev and reboot your PC.3rdparty\windows\getFreeglut.bat.{OpenPoseDirectory}\3rdparty\windows\freeglut\.MSVC Package from http://www.transmissionzero.co.uk/software/freeglut-devel/.
{freeglutParentDirectory}\freeglut\bin\x64\ as {OpenPoseDirectory}\3rdparty\windows\freeglut\bin\.{freeglutParentDirectory}\freeglut\include\ as {OpenPoseDirectory}\3rdparty\windows\freeglut\include\.{freeglutParentDirectory}\freeglut\lib\x64\ as {OpenPoseDirectory}\3rdparty\windows\freeglut\lib\.WITH_FLIR_CAMERA (only if Spinnaker was installed) and WITH_3D_RENDERER options.After installation, check the doc/3d_reconstruction_demo.md instructions.
The cuDNN library is not mandatory, but required for full keypoint detection accuracy. In case your graphics card is not compatible with cuDNN, you can disable it by unchecking USE_CUDNN in CMake.
Then, you would have to reduce the --net_resolution flag to fit the model into the GPU memory. You can try values like 640x320, 320x240, 320x160, or 160x80 to see your GPU memory capabilities. After finding the maximum approximate resolution that your GPU can handle without throwing an out-of-memory error, adjust the net_resolution ratio to your image or video to be processed (see the --net_resolution explanation from doc/demo_overview.md), or use -1 (e.g. --net_resolution -1x320).
We only modified some Caffe compilation flags and minor details. You can use your own Caffe distribution, simply specify the Caffe include path and the library as shown below. You will also need to turn off the BUILD_CAFFE variable. Note that cuDNN is required in order to get the maximum possible accuracy in OpenPose.
If you have built OpenCV from source and OpenPose cannot find it automatically, you can set the OPENCV_DIR variable to the directory where you build OpenCV.
You can generate the documentation by setting the BUILD_DOCS flag. The documentation will be generated in doc/doxygen/html/index.html. You can simply open it with double-click (your default browser should automatically display it).
Note that this step is unnecessary if you already used the CMake GUI alternative.
Create a build folder in the root OpenPose folder, where you will build the library --
cd openpose
mkdir build
cd build
The next step is to generate the Makefiles. Now there can be multiple scenarios based on what the user already has e.x. Caffe might be already installed and the user might be interested in building OpenPose against that version of Caffe instead of requiring OpenPose to build Caffe from scratch.
apt-get
In the build directory, run the below command --
cmake ..
In this example, we assume that Caffe and OpenCV are already present. The user needs to supply the paths of the libraries and the include directories to CMake. For OpenCV, specify the include directories and the libraries directory using OpenCV_INCLUDE_DIRS and OpenCV_LIBS_DIR variables respectively. Alternatively, the user can also specify the path to the OpenCVConfig.cmake file by setting the OpenCV_CONFIG_FILE variable. For Caffe, specify the include directory and library using the Caffe_INCLUDE_DIRS and Caffe_LIBS variables. This will be where you installed Caffe. Below is an example of the same.
cmake -DOpenCV_INCLUDE_DIRS=/home/"${USER}"/softwares/opencv/build/install/include \
-DOpenCV_LIBS_DIR=/home/"${USER}"/softwares/opencv/build/install/lib \
-DCaffe_INCLUDE_DIRS=/home/"${USER}"/softwares/caffe/build/install/include \
-DCaffe_LIBS=/home/"${USER}"/softwares/caffe/build/install/lib/libcaffe.so -DBUILD_CAFFE=OFF ..
cmake -DOpenCV_CONFIG_FILE=/home/"${USER}"/softwares/opencv/build/install/share/OpenCV/OpenCVConfig.cmake \
-DCaffe_INCLUDE_DIRS=/home/"${USER}"/softwares/caffe/build/install/include \
-DCaffe_LIBS=/home/"${USER}"/softwares/caffe/build/install/lib/libcaffe.so -DBUILD_CAFFE=OFF ..
If Caffe is not already present but OpenCV is, then use the below command.
cmake -DOpenCV_INCLUDE_DIRS=/home/"${USER}"/softwares/opencv/build/install/include \
-DOpenCV_LIBS_DIR=/home/"${USER}"/softwares/opencv/build/install/lib ..
cmake -DOpenCV_CONFIG_FILE=/home/"${USER}"/softwares/opencv/build/install/share/OpenCV/OpenCVConfig.cmake ..
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