import cv2
face_cascade = cv2.CascadeClassifier(r'C:\Users\mknod\AppData\Local\Programs\Python\Python37-32\Lib\site-packages\cv2\data\haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)
for x, y, w, h in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
face = img[y: y + h, x: x + w]
face_gray = gray[y: y + h, x: x + w]
cv2.putText(img, 'Face Detect', (20,50), cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0,0,200), 2, cv2.LINE_AA)
cv2.imshow('video image', img)
key = cv2.waitKey(10)
if key == 27:
break
cap.release()
cv2.destroyAllWindows()