A k-means segmentation project done for academical purposes. This project is a part of training on continuous integration, version control and C++ Programming, using CMake for the build automation and docker/gitlabCI for the CI pipelining.
The goal of the current project is to design and implement a library for multidimensional K-Means algorithm with a focus on image segmentation use cases.
Make sure you have CMake & OpenCV installed as their documentation stipulates to.
Create a build folder to build the project into it and get the final executable called 'appLauncher' under build/app folder.
mkdir build
cmake -S . -B build/ -DCMAKE_BUILD_TYPE=RELEASE
cmake --build build/Choose the --help option to get the min-manual of the CLI.
./appLauncher --help
# Example using default values for maximum iterations
# and centroids intialization while specifying the path
# to save thegenerated data in and the path to save the
# segmentation result file in
./appLauncher --generate data/togenerate/filepath --output segmentation/result/filepathPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Authors : (Team HPC-AI 2020-2021)
- BENCHARRADA Meryem
- RAMI Kader
- BENHARI Abdessalam
- BECHARA Fadi
- EL FAROUKI Ouadie
- LHEIMEUR Nezar
Date : 13/11/2020