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Face Detector Application 🎉

Overview

This project is my first step into the world of Computer Vision and Artificial Intelligence! It’s a Face Detector application developed using PySide6, OpenCV, and YOLOv8, with additional emotion detection powered by DeepFace. The application captures live video, detects faces in real-time, and displays personalized greetings based on detected emotions.

Features

  • Real-Time Face Detection: Utilizes YOLOv8 for detecting faces in real-time from the live camera feed.
  • Emotion-Based Greetings: Displays a message depending on the detected emotion:
    • 😊 Happy: Displays “Happy Laxmi Pujan!”
    • 😔 Sad/Other: Encourages the user with "Smile, it's Laxmi Pujan!"
  • User-Friendly Interface: Built with PySide6 for a clean and interactive GUI.
  • Dynamic Status Updates: Users can easily start and stop the camera feed, with status messages reflecting the application's state.

Technical Stack

  • Programming Language: Python
  • Libraries:
    • PySide6: For building a responsive GUI
    • OpenCV: For video capture and image processing
    • YOLOv8: Used for face detection
    • DeepFace: Used for emotion detection

Setup and Installation

To run this project, make sure you have Python installed. Follow the steps below to set up your environment:

  1. Clone the repository:

    git clone https://github.com/prajwal2431/face-Detection-using-YOLO.git
cd face-Detection-using-YOLO

  2. Install the required packages:

    pip install -r requirements.txt

  3. Run the application:

    python faceDetectorApp.py

How It Works

  1. Start the Camera: When the "Start" button is pressed, the application captures video from the camera.
  2. Face Detection: YOLOv8 detects faces in the frame, and each face is highlighted with a bounding box.
  3. Emotion Detection: Using DeepFace, each detected face is analyzed to determine the dominant emotion.
  4. Personalized Message: A greeting message is displayed based on the emotion detected:
    • Happy: “Happy Laxmi Pujan!”
    • Other Emotions: “Smile, it’s Laxmi Pujan!”

Future Enhancements

  • Facial Recognition: Identify and greet known individuals by name.
  • Enhanced Emotion Analysis: Support additional emotions and customize greetings.
  • Additional Camera Options: Allow for video file input or multiple camera sources.

Example Usage

  1. Start the Application: Launch the app and press "Start" to begin face detection.
  2. View Greetings: Smile to receive a festive greeting, or make a neutral face to get a prompt to smile!
  3. Stop the Application: Press "Stop" to end the camera feed and close the app.

Requirements

The application requires the following Python libraries (provided in requirements.txt):

  • PySide6
  • opencv-python
  • ultralytics
  • numpy
  • deepface

Contributing

Feel free to fork the repository and submit pull requests for any enhancements or bug fixes!

Happy Coding and Happy Laxmi Pujan! 🪔