Milestone 4

In this milestone, you will learn how to use YOLO, a real-time object detection algorithm based on a fully Convolutional Neural Network. YOLO’s input is a camera image fed in real time from a Raspberry Pi v2 camera, and the output would be a bounding box showing which part of the image belongs to which object, with a text label.

Helpful Guides

Foxy

• Installation
• Building Packages
• Publisher/Subscriber

Ultralytics

• YOLO

Development Environment

Setup

1. Clone the repository

git clone https://github.com/CS7389K/Milestone-4.git
cd Milestone-4

2. ROS2 Foxy requires Ubuntu 20.04, so ensure it's what you're using. If you're using windows, run the following to use WSL:

install-wsl2-ros2-env.bat

3. Install Foxy

sh install-ros2-foxy-desktop.sh

Building the Project

sh build.sh
. install/setup.sh