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C++ Project directory

The directory is categorised based on the underlying libraries that are used:

  • cv: Basic OpenCV examples
  • vilib: OpenCV + vilib_fast
  • visionworks: Nvidia VisionWorks library

Note: Projects in the various directories would require relevant dependencies for it to compile, more details are available in the sections below.

Projects

cv

All the relevant OpenCV example are located here, ensure that OpenCV is installed beforehand.

If OpenCV is compiled from source, ensure that it is installed into the system via $ sudo make install. The typical OpenCV source location would be /usr/local or /usr/local/opencv.

For OpenCV python support, ensure that the OpenCV path is appeneded to the environment variable, for example adding the following line in .bashrc:

export PYTHONPATH=$PYTHONPATH:/usr/local/opencv-3.4.10/release/python_loader/

vilib

More information could be found here.

VisionWorks

Ensure that the glfw3-dev library is installed and the NVXIO library is compiled:

Install dependencies

$ sudo apt install libglfw3-dev

Build NVXIO

$ cd /usr/share/visionworks/sources/
$ sudo make

After that, proceed on to compile the projects.

Reference: https://forums.developer.nvidia.com/t/linking-nvxio-ovxio-libraries-into-own-cmake-project/82627/6

Compiling the C++ project(s)

Each project would be created in a standalone directory, and CMake would be used to compile the cpp files.

Ensure that the cpp files & CMakeLists.txt are present in the parent directory before running CMake!

Via Script

Run the script of the target directory:

$ ./compile.sh [target_dir]

For example,

$ ./compile.sh cv/cam_fps

Note: Specify the directory without the backslash behind!

Manually

Create a build directory in the parent directory & enter the directory.

$ cd parent_dir
$ mkdir build && cd build

After that, run cmake to generate the Makefiles in the current build directory:

$ cmake -G 'Unix Makefiles' ..

After that, compile the files:

$ make -j4