This project demonstrates the implementation of a simple Augmented Reality (AR) application using Python and OpenCV. The application detects a predefined marker in a real-time video stream and overlays a custom image onto the detected marker using perspective transformations.
- Real-Time Marker Detection: Utilizes the SIFT feature detector to find and track a custom marker in the video stream.
- Image Projection: Projects a predefined image onto the detected marker using homography.
- Robust Matching: Employs FLANN-based matcher for efficient and robust matching of features.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
What you need to install the software:
pip install opencv-python
pip install numpyTo use this application, you need to provide an image of the marker and the image you want to overlay. Place these images in the project directory and specify their paths in the script. When you run the script, point your webcam at the marker to see the AR effect.
- Python - The programming language used.
- OpenCV - The computer vision library used.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us. Authors
Your Name - Initial work - YourUsername
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details. Acknowledgments
Hat tip to anyone whose code was used
Inspiration
etc