import cv2
# Loading the cascades
face_cascade = cv2.CascadeClassifier("/Data/haarcascade_frontalcatface.xml")
eye_cascade = cv2.CascadeClassifier("/Data/haarcascade_eye.xml")
smile_cascade = cv2.CascadeClassifier("/Data/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]
        eyes = eye_cascade.detectMultiScale(roi_gray,1.1,22)
        for(ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
        smile = smile_cascade.detectMultiScale(roi_gray, 1.7, 22)
        for (sx, sy, sw, sh) in smile:
            cv2.rectangle(roi_color, (sx, sy),(sx+sw,sy+sh), (0, 0, 255), 2)

    return frame


# Doing some Face Recognition with the Web Cam
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)
    k = cv2.waitKey(1) & 0xff
    if k == 27:
        break

cv2.destroyAllWindows()
video_capture.release()

