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FYP-localization-robots\n\nPython repository for address the Localization problem of Swarm Robotics\n\n### Requirements\n\nPlease install following pip packages if they aren't pre-installed\n\n```\npip install numpy\n\npip install aruco\npip install paho-mqtt\npip3 install opencv-python\npip3 install opencv-contrib-python\npip3 install pyyaml\n```\n\nor use following command\n\n```\npip install -r requirement.txt\n```\n\nYou need to copy and rename the following files in _scripts_ directory and fill the necessary configuration details before run the scripts.\n\n- config-mapping_sample.yaml INTO config-mapping.yaml\n- config-mqtt_sample.yaml INTO config-mqtt.yaml\n\n### Run the scripts\n\nYou can try scripts on the ./scripts/ directory\n\n### Build a executable file (not working so far)\n\nInstall PyInstaller from PyPI:\n\n```\npip install pyinstaller\n```\n\nGo to your program’s directory and run:\n\n```\npyinstaller --onefile script.py\n```\n\nAfter, please make sure to copy the './board' folder into the directory which executes the exe file.\n\n### Read More\n\n- [ar-markers 0.5.0](https://pypi.org/project/ar-markers/)\n- [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)\n- [OpenCV: Detection of ArUco Markers](https://docs.opencv.org/trunk/d5/dae/tutorial_aruco_detection.html)\n- [OpenCV: Detection of ArUco Boards](https://docs.opencv.org/master/db/da9/tutorial_aruco_board_detection.html)\n- [Calibrating the board](https://mecaruco2.readthedocs.io/en/latest/notebooks_rst/Aruco/sandbox/ludovic/aruco_calibration_rotation.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpera-swarm%2Flocalization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpera-swarm%2Flocalization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpera-swarm%2Flocalization/lists"}