Autonomous Cat Deterrence

Welcome to the repository for the Autonomous Cat Deterrence senior design group project.

Project Overview

The project aims to autonomously detect and deter cats using the YOLOv8 object detection model.

Features

• Real-time cat detection using YOLOv8
• Displaying confidence scores and center coordinates of detected cats
• Visualizing detection results on video frames

Project Structure

/
|-- src/
|   |-- yolov8_webcam.py
|-- models/
|   |-- yolov8n.pt
|-- images/
|   |-- render.png
|   |-- kitchenrender.png
|-- README.txt

Getting Started

Prerequisites

• Python 3.x
• OpenCV (pip install opencv-python)
• Ultralytics (pip install ultralytics)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/Autonomous_Cat_Deterrence.git

2. Navigate to the project directory:

   cd Autonomous_Cat_Deterrence

3. Run the script:

   python yolov8_webcam.py

Dependencies

• YOLOv8: Ultralytics YOLO

Acknowledgments

Ultralytics YOLO for providing the YOLOv8 model

Contact Information

For any inquiries, please contact: nkr38@drexel.edu