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nvidia-smi
command checks the available GPU memory in Ubuntu).Note: These requirements assume the default configuration (i.e. --net_resolution "656x368"
and num_scales 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).
Highly important: This script only works with CUDA 8 and Ubuntu 14 or 16. Otherwise, check Manual Compilation.
apt-get install libopencv-dev
. If you have compiled OpenCV 3 by your own, follow Manual Compilation. After both Makefile.config files have been generated, edit them and uncomment the line # OPENCV_VERSION := 3
. You might alternatively modify all Makefile.config.UbuntuXX
files and then run the scripts in step 2.opencv_contrib
module by default. Assuming you have OpenCV 3 compiled with the contrib module and you want to use it, append opencv_contrib
at the end of the line LIBRARIES += opencv_core opencv_highgui opencv_imgproc
in the Makefile
file.sudo apt-get install libatlas-base-dev
. Instead of Atlas, you can use OpenBLAS or Intel MKL by modifying the line BLAS := atlas
in the same way as previosuly mentioned for the OpenCV version selection.chmod u+x install_caffe_and_openpose.sh
./install_caffe_and_openpose.sh
Alternatively to the script installation, if you want to use CUDA 7, avoid using sh scripts, change some configuration labels (e.g. OpenCV version), etc., then:
Install the Caffe prerequisites.
Compile Caffe and OpenPose by running these lines:
### Install Caffe ###
cd 3rdparty/caffe/
# Select your desired Makefile file (run only one of the next 4 commands)
cp Makefile.config.Ubuntu14_cuda_7.example Makefile.config # Ubuntu 14, cuda 7
cp Makefile.config.Ubuntu14.example Makefile.config # Ubuntu 14, cuda 8
cp Makefile.config.Ubuntu16_cuda_7.example Makefile.config # Ubuntu 16, cuda 7
cp Makefile.config.Ubuntu16.example Makefile.config # Ubuntu 16, cuda 8
# Change any custom flag from the resulting Makefile.config (e.g. OpenCV 3, Atlas/OpenBLAS/MKL, etc.)
# Compile Caffe
make all -j${number_of_cpus} && make distribute -j${number_of_cpus}
### Install OpenPose ###
cd ../../models/
./getModels.sh # It just downloads the Caffe trained models
cd ..
# Same file cp command as the one used for Caffe
cp Makefile.config.Ubuntu14_cuda_7.example Makefile.config
# Change any custom flag from the resulting Makefile.config (e.g. OpenCV 3, Atlas/OpenBLAS/MKL, etc.)
make all -j${number_of_cpus}
NOTE: If you want to use your own Caffe distribution, follow the steps on Custom Caffe
section and later re-compile the OpenPose library:
chmod u+x install_openpose.sh
./install_openpose.sh
Note: These steps only need to be performed once. If you are interested in making changes to the OpenPose library, you can simply recompile it with:
make clean
make all -j$(NUM_CORES)
Highly important: There are 2 Makefile.config.Ubuntu##.example
analogous files, one in the main folder and one in 3rdparty/caffe/, corresponding to OpenPose and Caffe configuration files respectively. Any change must be done to both files (e.g. OpenCV 3 flag, Atlab/OpenBLAS/MKL flag, etc.). E.g. for CUDA 8 and Ubuntu16: 3rdparty/caffe/Makefile.config.Ubuntu16.example and Makefile.config.Ubuntu16.example.
If you updated some software that our library or 3rdparty use, or you simply want to reinstall it:
make clean && cd 3rdparty/caffe && make clean
You just need to remove the OpenPose folder, by default called openpose/
. E.g. rm -rf openpose/
.
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