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Face Detection using OpenCV and MediaPipe

This Python script demonstrates face detection using OpenCV and MediaPipe libraries. It can detect faces in a video feed or webcam input.

Requirements

  • Python 3.x
  • OpenCV
  • MediaPipe

Install the required dependencies using pip:

pip install opencv-python
pip install mediapipe 

Usage

  1. Clone the repository or download the Python script.

  2. Run the script using the following command:

python face_detection.py

  1. The script will use the default webcam as the video source. If you want to use a video file, uncomment the line that initializes the cap variable with the video file path.

  2. The script will display the video feed with detected faces and the frames-per-second (FPS) information.

Customization

You can modify the code to suit your needs:

  • Adjust the minDetectionCon parameter in the FaceDetector class constructor to control the minimum confidence threshold for face detection.
  • Modify the fancyDraw method in the FaceDetector class to customize the drawing of bounding boxes around the detected faces.
  • Explore other functionalities provided by OpenCV and MediaPipe for further customization.

Feel free to experiment and integrate this face detection code into your own proj

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