YOLOv8 Aerial Sheep Detection and Counting

YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.

Introduction

This repository contains a Sheep Detector and Counter trained by YOLOv8 algorithm with Sheep Dataset from Roboflow.

Train Results

Train results on YOLOv8n. Weights are provided in resources/weights direcotry.

Installation

Create a virtual environment

# create
python -m venv yolov8-sheep

# activate
source yolov8-sheep/bin/activate

Clone repository

git clone https://github.com/monemati/YOLOv8-Sheep-Detection-Counting.git
cd YOLOv8-Sheep-Detection-Counting

Install packages

pip install -e '.[dev]'

Run

# On image
python count.py

# On Video
python track.py

• Change file_path to your desired files. Sample files are provided in resources/images and resources/videos direcotries.

Simulate in Gazebo

• You need to follow this tutorial to setup test environment.
• You can use Models and Worlds provided in resources/models and resources/worlds direcotries.
• Open a terminal and use the command below to launch your world (this will launch gazebo):

roslaunch gazebo_ros agriculture.launch

• Open a new terminal and run a UAV:

cd ~/ardupilot/Tools/autotest && ./sim_vehicle.py -v ArduCopter -f gazebo-iris -I0

• After seeing "APM: EKF2 IMU0 is using GPS" message in console, you can use the commands below to takeoff:

mode guided
arm throttle
takeoff 40

• Now in a new terminal use the command below:

python sheep.py

• You can watch the demo from this file

Results

Acknowledgement

• https://github.com/ultralytics/ultralytics
• https://www.ros.org/
• https://gazebosim.org/
• https://github.com/ArduPilot/ardupilot