SimpleFaceRecognition

import cv2


def DetectFace(img, face_cascade, callback):
    image = None

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    for (x, y, w, h) in faces:

        image = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)

        callback(img, (x, y), (x + w, y + h))

    return image


def onFace(img, pt1, pt2):
    height, width = img.shape[:2]
    (center_x, center_y) = (width / 2, height / 2)

    (pic_center_x, pic_center_y) = (((pt2[0] - pt1[0]) / 2)  + pt1[0], ((pt2[1] - pt1[1]) / 2) + pt1[1])

    if pic_center_x > center_x:
        print "DESTRA"
    else:
        print "SINISTRA"

    if pic_center_y > center_y:
        print "GIU'"
    else:
        print "SU"
 


# ----------
# M A I N
# ----------
winName = "Traccia sta Faccia"
cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)

capture = cv2.VideoCapture(1)

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

while (cv2.cv.WaitKey(15) == -1):

    ret, img = capture.read()
    if ret:
       image = DetectFace(img, face_cascade, onFace)
       if image is None:
          image = img
       cv2.imshow(winName, image)

    else:
      print "Camera not detected"
      exit(0)

capture.release()