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 = 8

face_match = False
reference_img = cv2.imread("reference.jpeg")

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, "Face Match!", (20, 450), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 255, 0), 3)
        else:
            cv2.putText(frame, "Face Not 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()