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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()
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