import cv2
import sys
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
video_capture = cv2.VideoCapture(0)
while True:
ret, img = video_capture.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
Face = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in Face:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,0,255),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey), (ex+ew,ey+eh), (0,255,0), 2)
# Display the resulting frame
cv2.imshow('Face and Eye Detected', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
#cv2.waitKey(0)
video_capture.release()
cv2.destroyAllWindows()