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Human Face Counting

Overview

The Human Face Counting project is a Python application utilizing OpenCV and Haar cascades for accurately counting the number of human faces in images.

Features

Capture Mode: Allows capturing an image from the camera and counting faces.

Upload Mode: Enables users to upload an image file and count faces.

Real-time Face Detection: Utilizes Haar cascades for detecting and counting faces in real-time.

Running the Application

  1. Clone the Repository.

    git clone https://github.com/neildsouza32/human-face-counting.git
  2. Navigate to the project directory.

  3. Run the following command.

    python main.py
  4. Choose between Capture Mode or Upload Mode to count faces.

Contribution

Contributions are welcome! If you find any bugs or have suggestions for improvements, please open an issue or submit a pull request.