This repository contains the codes that uses ML (Machine Learning) techniques to detect the buoy. This is a combination of 3 parts -
(1) Pixel-trainer : A ML-trainer module.
(2) vw_detect (vw = vowpal wabbit) : This module detects the buoy boundary with the help of ML, by taking the training data output of Pixel-trainer.
(3) Region-blower : This module blows / colors the region within the buoy boundary detected by vw_detect.
// include the steps with further commits. // doubt : steps for working with ROS or without ROS?
The work flow is the same as that of any other repository.
(1) Fork / clone the repository.
(2) Create a new branch , say my-changes and make your changes in this branch.
(3) Commit your changes and send a Pull request (PR) to this repository.
The MIT License - Team AUV , IIT Kharagpur - All Rights Reserved.