/smart-football-table-detection

This project uses computer vision in combination with a table football table to analyze the movement of the ball.

Primary LanguagePythonGNU Lesser General Public License v2.1LGPL-2.1

Smart Football Table - Detection

Build Status BCH compliance Known Vulnerabilities GitLicense

This repository contains the detection part of the Smart Football Table project. The position of the ball gets detected and published to the mqtt broker.

detection-sample-gif

Visit the documentation at the Smart Football Table website for more information.

Arguments for the application

Argument Description Sample Input default
-v path to an (optional) video file, overwrites camera "-v path/to/video.avi" empty
-b length of lightning trace 64 200
-i index of camera 0 0
-c color values (hsvmin,hsvmax) for object you want to detect (unneccessary for yolo) 20,100,100,30,255,255 0,0,0,0,0,0
-r recording output into given file name "fileName" empty
Draft: Commands

env var = MODEL_PATH -e MODEL_PATH=...