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Face Recognition with OpenCV and Face_Recognition Library

This project implements real-time face recognition using OpenCV for capturing video frames and the face_recognition library for face detection and recognition.

Features

  • Real-time Face Recognition: Captures frames from the camera and checks if the face matches a predefined reference image.
  • Multithreading: Uses a separate thread for face recognition to ensure smooth and non-blocking video capture.
  • Visual Feedback: Displays "Face Match" or "Face Not Match" on the video feed based on whether a face matches the reference image.

Prerequisites

  • Python 3.x
  • OpenCV
  • face_recognition
  • numpy

Installation

  1. Install required libraries:

    pip freeze > requirements.txt
    pip install -r requirements.txt
    
    
  2. Install tenserflow cc and framework :

    cd scripts
    chmod +x largefile_download.sh
    ./largefile_download.sh
    
    
    
    
    

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face recognization using opencv face_recognization and numpy libraries

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