YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.

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

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

# create python -m venv yolov8-sheep # activate source yolov8-sheep/bin/activate 

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

pip install -e '.[dev]' 

# 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.

• 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

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