main.py

import threading
import cv2
from deepface import DeepFace
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
counter = 0
reference_img = cv2.imread("image.jpg")  # use your own image here
face_match = False
def check_face(frame):
    global face_match
    try:
        if DeepFace.verify(frame, reference_img.copy())['verified']:
            face_match = True
        else:
            face_match = False
    except ValueError:
        face_match = False
while True:
    ret, frame = cap.read()
    if ret:
        if counter % 30 == 0:
            try:
                threading.Thread(target=check_face, args=(frame.copy(),)).start()
            except ValueError:
                pass
        counter += 1
        if face_match:
            cv2.putText(frame, "YES IT'S A MATCH!", (20, 450), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 255, 0), 3)
        else:
            cv2.putText(frame, "NO MATCH!", (20, 450), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 0, 255), 3)

        cv2.imshow('video', frame)
    key = cv2.waitKey(1)
    if key == ord('q'):
        break
cv2.destroyAllWindows()