import cv2



face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
smile_cascade = cv2.CascadeClassifier('haarcascade_smile.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]
        smiles = smile_cascade.detectMultiScale(roi_gray, 1.8,20)

        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)
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()
