Requirements

• Python 3.7
• C++ compiler (eg. Windows: Visual Studio 15 2017, Ubuntu: g++)
• pybind11 https://github.com/pybind/pybind11.git
• Linear Assignment Problem solver https://github.com/gatagat/lap.git

Install

Install Eigen for Windows (after the following steps, add include directory C:\eigen-3.4.0 for example.)

1. Download Eigen 3.4.0 (NOT lower than this version) from it official website https://eigen.tuxfamily.org/ or ZIP file here.
2. mkdir build_dir
3. cd build_dir
4. cmake ../
5. make install, this step does not require

Install Eigen for Linux

1. install and use eigen3 on ubuntu 16.04
2. sudo apt-get install libeigen3-dev libeigen3-dev is installed install to /usr/include/eigen3/ and /usr/lib/cmake/eigen3.
3. We must make a change in CMakeLists.txt SET( EIGEN3_INCLUDE_DIR "/usr/local/include/eigen3" ) to SET( EIGEN3_INCLUDE_DIR "/usr/include/eigen3/" ).

Include OpenCV headers

1. Install OpenCV sudo apt install libopencv-dev
2. Find where OpenCV is instsallted: pkg-config --cflags opencv4
3. Change directory in CMakeLists.txt if needed include_directories(/usr/include/opencv4/)

Build

1. Build C++ Package to call from Python: python setup.py build develop
2. Build to run directly from C++:
   you need to change path of detect files and images in main.cpp
   Comment all lines related to pybind11 in CMakeLists.txt and main.cpp, Uncomment add_executable in CMakeLists.txt
   Build: mkdir build > cd build > cmake .. > cmake --build . > and run it by ./adaptbytetrack

LICENCE

Linh Ma, Machine Learning & Vision Laboratory, GIST, South Korea