Wykrywanie twarzy na zdjęciach - OpenCV w akcji

import sys, os
from opencv.cv import *
from opencv.highgui import *
import Image, ImageDraw

def tescv():
	files = os.listdir('./')
	for i in files:
		if i.endswith('jpg'):
			print i
			image = cvLoadImage(i)
			grayscale = cvCreateImage(cvSize(image.width, image.height), 8, 1)
			cvCvtColor(image, grayscale, CV_BGR2GRAY)
			
			storage = cvCreateMemStorage(0)
			cvClearMemStorage(storage)
			cvEqualizeHist(grayscale, grayscale)
			cascade = cvLoadHaarClassifierCascade('/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml', cvSize(1,1))
			faces = cvHaarDetectObjects(grayscale, cascade, storage, 1.2, 2,
						CV_HAAR_DO_CANNY_PRUNING, cvSize(50,50))
			ret = []
			if faces:
				for f in faces:
					ret = []
					im = Image.open(i)

					draw = ImageDraw.Draw(im)
					wsp = '%s, %s / %s, %s' % (str(f.x), str(f.x+f.width), str(f.y), str(f.y+f.height))
					print '%s: %s' % (i, wsp)
					draw.rectangle(((f.x, f.y), (f.x+f.width, f.y+f.height)), fill=5)
					del draw 
					
					# write to stdout
					im.save(i, "JPEG")
					ret.append([f.x, f.y, f.x+f.width, f.y+f.height])
				print ret

tescv()