openCV_termproject

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Face Filter Application

This project is a simple face filter application that detects faces from a webcam feed and applies various stickers to them.

Overview

The application leverages OpenCV for face detection and image manipulation. Users can cycle through different face filters in real-time, providing an entertaining and interactive experience.

Example

Usage

1. Environment Setup

   • Install Python 3.x, or a newer version.

   • Install required libraries by running the following command:

     pip install opencv-python numpy

2. Add Face Filter Images

   • Add image files for face filters to the project folder.

3. Run

   • Start the face filter application by executing the following command in the terminal:

     python face_filter_app.py

4. Key Events

   • Press '1' to change to different face filters.
   • Press 'q' to exit the application.

Notes

• Face filter images should be in PNG format with support for a transparent background.
• Face detection utilizes Haarcascades, and you can experiment with different classifiers for improved accuracy.

References

• https://dustinkim86.github.io/posts/python-opencv4/ (OpenCV filter)
• https://velog.io/@choi_4843/OpenCV-%EC%B9%B4%EB%A9%94%EB%9D%BC-%EC%8A%A4%ED%8B%B0%EC%BB%A4-%EB%A7%8C%EB%93%A4%EA%B8%B0 (Make a camera sticker)