FaceRecPy

FaceRecPy is a simple facial detection project using Python, OpenCV, Mediapipe, and the CVZone library. This project captures real-time images using the webcam and detects faces in the video, displaying the results in a window.

Technologies Used

• Python 3.9
• OpenCV (opencv-python)
• Mediapipe
• CVZone

Prerequisites

Before running the project, you will need to install the dependencies. It is recommended to use a virtual environment (such as venv or virtualenv).

1. Clone this repository:

   git clone https://github.com/yourusername/FaceRecPy.git

2. Create and activate a virtual environment (optional, but recommended):

   python -m venv venv
   source venv/bin/activate  # For Linux/Mac
   .\venv\Scripts\activate  # For Windows

3. Install the project dependencies:

   pip install opencv-python mediapipe cvzone

How to Run the Project

After installing the dependencies, you can run the main script to start facial detection:

python main.py

The script will open the webcam and start detecting faces in real-time. To stop the program, just press the Esc key.

Project Features

• Real-Time Facial Detection: The project captures the webcam feed and uses CVZone's face detector to identify and highlight faces in the video.
• Simple Interaction: The video with face detection is displayed in a window, and the program can be closed by pressing the Esc key.

You can use this code as a foundation to expand your idea, if you need to implement features like facial recognition, emotion detection, or other computer vision-related applications.