OpenCV: realtime face detection in python

#!/usr/bin/python #----------------------------------------------------------------------------# Face Detection Test (OpenCV)## thanks to:# http://japskua.wordpress.com/2010/08/04/detecting-eyes-with-python-opencv#---------------------------------------------------------------------------- import cvimport timeimport Image def DetectFace(image, faceCascade):     min_size = (20,20)    image_scale = 2    haar_scale = 1.1    min_neighbors = 3    haar_flags = 0     # Allocate the temporary images    grayscale = cv.CreateImage((image.width, image.height), 8, 1)    smallImage = cv.CreateImage(            (                cv.Round(image.width / image_scale),                cv.Round(image.height / image_scale)            ), 8 ,1)     # Convert color input image to grayscale    cv.CvtColor(image, grayscale, cv.CV_BGR2GRAY)     # Scale input image for faster processing    cv.Resize(grayscale, smallImage, cv.CV_INTER_LINEAR)     # Equalize the histogram    cv.EqualizeHist(smallImage, smallImage)     # Detect the faces    faces = cv.HaarDetectObjects(            smallImage, faceCascade, cv.CreateMemStorage(0),            haar_scale, min_neighbors, haar_flags, min_size        )     # If faces are found    if faces:        for ((x, y, w, h), n) in faces:            # the input to cv.HaarDetectObjects was resized, so scale the            # bounding box of each face and convert it to two CvPoints            pt1 = (int(x * image_scale), int(y * image_scale))            pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))            cv.Rectangle(image, pt1, pt2, cv.RGB(255, 0, 0), 5, 8, 0)     return image #----------# M A I N#---------- capture = cv.CaptureFromCAM(0)#capture = cv.CaptureFromFile("test.avi") #faceCascade = cv.Load("haarcascades/haarcascade_frontalface_default.xml")#faceCascade = cv.Load("haarcascades/haarcascade_frontalface_alt2.xml")faceCascade = cv.Load("haarcascades/haarcascade_frontalface_alt.xml")#faceCascade = cv.Load("haarcascades/haarcascade_frontalface_alt_tree.xml") while (cv.WaitKey(15)==-1):    img = cv.QueryFrame(capture)    image = DetectFace(img, faceCascade)    cv.ShowImage("face detection test", image) cv.ReleaseCapture(capture)