#importing Libraries
import cv2

# loading Cascade
face_cascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade=cv2.CascadeClassifier('haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')
#defining function for Detection

def detection(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),(0,255,0),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+ew,ey+eh),(255,0,0),2)
        smiles = smile_cascade.detectMultiScale(roi_gray, 1.7, 22)
        for (sx, sy, sw, sh) in smiles:
            cv2.rectangle(roi_color, (sx, sy), (sx+sw, sy+sh), (0, 0, 255), 2)
    return frame

video_capture=cv2.VideoCapture(0)
window='Face Detection'
cv2.namedWindow('window')

while(True):
    ret,frame=video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    detect=detection(gray,frame)
    cv2.imshow(window,detect)
    if cv2.waitKey(1)==27:
        break;
video_capture.release()
cv2.destroyAllWindows()
