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This repository contains a Python script for real-time object tracking using YOLOv10 and OpenCV. It allows you to select an object in a video frame, track it, and display its coordinates in real-time.
easydict==1.13
gdown==5.2.0
ipdb==0.13.13
motmetrics==1.4.0
numpy==1.26.4
opencv_python==4.8.1.78
pandas==1.5.3
PyYAML==6.0.1
scipy==1.11.4
torch==2.3.0
torchvision==0.18.0
torchreid==0.2.5
scikit-learn==1.5.2
scikit-image==0.24.0
ultralytics==8.3.15
tensorboard==2.18.0
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 YOLOv10 model weights (yolov10e.pt
) and place them in the root directory of this repository.
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.
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!
This project is licensed under the MIT License - see the LICENSE file for details.