[python, openCV] base64 Face recognition with images

!/usr/bin/python
 -*- coding: utf-8 -*-

import sys
import cv2, os
import numpy as np
from PIL import Image
import base64
from StringIO import StringIO

import scipy.misc

# Haar-like feature classifier
cascadePath = "/path/to/haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath)

def readb64(base64_string):
    sbuf = StringIO()
    sbuf.write(base64.b64decode(base64_string))
    pimg = Image.open(sbuf)
    return pimg
    #cv2.cvtColor(np.array(pimg), cv2.COLOR_RGB2BGR)

def detect():
 # Load base64 in grayscale
    image_pil = readb64(sys.argv[1].replace("\\", "\\\\")).convert('L')
 Stored in an array of # NumPy
    image = np.array(image_pil, 'uint8')
 # Haar-like Feature classifier detects face (parameters are appropriate)
    faces = faceCascade.detectMultiScale(image,1.1,9,0)

    scipy.misc.imsave('outfile.jpg', image)

 # Display the coordinates of the detected face image
    for (x, y, w, h) in faces:
        print x,y,w,h

detect()

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