Repository files navigation

This short documentation describes steps necessary to compile and run the code that implementsDeepCut andDeeperCut papers:

Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, and Bernt Schiele
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
InIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
InEuropean Conference on Computer Vision (ECCV), 2016For more information visithttp://pose.mpi-inf.mpg.de

• This code was developed under Linux (Debian wheezy, 64 bit) and was tested only in this environment.
• HDF5 1.8
• CMake
• C++ 11
• CUDA >=7.5
• Caffe building instructions
• Gurobi optimizer 6.0.x

1. Clone repository

   $ git clone https://github.com/eldar/deepcut --recursive

2. Build Caffe and its MATLAB interface after configuringMakefile.config

   $ cd external/caffe$ make -j 4 all matcaffe

3. Buildliblinear, specify the path to the MATLAB installation

   $ cd external/liblinear-1.94/matlab$ CC=gcc CXX=g++ MATLABDIR=/usr/lib/matlab-8.6/ make

4. Build solver

   $ cd external/solver$ cmake . -DGUROBI_ROOT_DIR=/path/to/gurobi603/linux64 -DGUROBI_VERSION=60$ make solver-callback

5. Obtain Gurobi license fromhttp://www.gurobi.com/downloads/licenses/license-centerand place the license file license.lic in data/gurobi or modify parameterp.gurobi_license_file in lib/pose/exp_params.m to point to the license file location

$ cd data$ ./download_models.sh

$ cd <root_dir>$ ./start_matlab.sh% in MATLAB>> demo_multiperson

AccessDeeperCut Part Detectors to download stand-alone part detectors that produce dense scoremaps.

@inproceedings{insafutdinov2016deepercut,author = {Eldar Insafutdinov and Leonid Pishchulin and Bjoern Andres and Mykhaylo Andriluka and Bernt Schieke},title = {DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model},booktitle = {European Conference on Computer Vision (ECCV)},year = {2016},url = {http://arxiv.org/abs/1605.03170}    }@inproceedings{pishchulin16cvpr,author = {Leonid Pishchulin and Eldar Insafutdinov and Siyu Tang and Bjoern Andres and Mykhaylo Andriluka and Peter Gehler and Bernt Schiele},title = {DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation},booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},year = {2016},url = {http://arxiv.org/abs/1511.06645}}