YOLOv9 Object Tracking

This repository contains a Python script for real-time object tracking using YOLOv8 and OpenCV. It allows you to select an object in a video frame, track it, and display its coordinates in real-time.

Requirements

numpy==1.24.3
opencv_python==4.8.1.78
ultralytics

Installation

Clone this repository to your local machine:

git clone https://github.com/MAVERICK-VF142/Object_tracking_in_360_video.git

Install the required dependencies:
```
pip install -r requirements.txt
```
Download the YOLOv9 model weights (yolov9e.pt) and place them in the root directory of this repository.

Usage

Run the script app.py:
```
python app.py
```
Select an object in the video frame by clicking on it. The script will track the selected object and display its coordinates in real-time.
Press 'q' to quit the application.

Contributing

Contributions are welcome! Here's how you can contribute:

Fork the repository to your GitHub account.

Clone the forked repository to your local machine:

git clone https://github.com/your-username/Object_tracking_in_360_video.git

Create a new branch for your feature or bug fix:
```
git checkout -b feature-name
```
Replace feature-name with a descriptive name for your feature or bug fix.

Make your changes and commit them:

git add .
git commit -m "Description of your changes"

Push your changes to your forked repository:
```
git push origin feature-name
```
Create a pull request from your forked repository to the main repository's master branch.

Note: Please ensure your pull request adheres to the repository's contribution guidelines.

Thank you for contributing to this project!

License

This project is licensed under the MIT License - see the LICENSE file for details.