Facial Recognition Application with DeepFace

This project is a Python-based facial recognition application utilizing the DeepFace library for facial analysis and recognition. The application provides a simple graphical user interface built with Tkinter, allowing users to capture facial images and perform real-time facial recognition. Features

Image Capture:
    Uses OpenCV to capture frames from a webcam.
    Displays frames in real-time.
    Allows users to save facial images by pressing the spacebar, prompting for the user’s name for organized storage.
    Automatically creates a local db directory to store user images.
    Images are saved with user-provided names for easy identification

Facial Recognition:
    Employs DeepFace to perform real-time facial recognition.
    Compares live video frames against stored facial images in a local database.
    Supports the VGG-Face model for facial recognition.

Multithreading Support:
    Ensures a smooth user experience by running the GUI, image capture, and recognition processes on separate threads.