facede.py

import cv2
face_cascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade=cv2.CascadeClassifier('haarcascade_eye.xml')
def detect(gray,frame):
    faces=face_cascade.detectMultiScale(gray,1.3,5)
    for(x,y,w,h) in faces:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
        roi_gray= gray[y:y+h ,x:x+w]
        roi_color=frame[y:y+h,x:x+w]
        eyes=eye_cascade.detectMultiScale(roi_gray,1.1,3)
        for(ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+w,ey+h),(0,255,0),3)
    return frame
video_capture=cv2.VideoCapture(0)
while True:
    _,frame=video_capture.read()
    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    canvas=detect(gray,frame)
    cv2.imshow('Video',canvas)
    if cv2.waitKey(1) & 0xFF==ord("q"):
        break
video_capture.release()
cv2.destroyAllWindows()