Face and Eye Detection using Raspberry pi and OpenCv

Face and Eye  Detection using Raspberry pi and OpenCv:

import io

import picamera

import cv2

import numpy

stream = io.BytesIO()

with picamera.PiCamera() as camera:

    camera.resolution = (320, 240)

    camera.capture(stream, format='jpeg')

buff = numpy.fromstring(stream.getvalue(), dtype=numpy.uint8)

img = cv2.imdecode(buff, 1)

face_cascade = cv2.CascadeClassifier('/home/pi/opencvfolder/haarcascade_frontalface_alt.xml')

eye_cascade = cv2.CascadeClassifier('/home/pi/opencvfolder/haarcascade_eye.xml')

#Convert to grayscale

gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.3, 5)

print "Found "+str(len(faces))+" face(s)"

#Draw a rectangle around every found face

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

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

        roi_gray = gray[y:y+h, x:x+w]

        roi_color = img[y:y+h, x:x+w]

        eyes = eye_cascade.detectMultiScale(roi_gray)

        for (ex,ey,ew,eh) in eyes:

            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)

cv2.imwrite('picture.jpg',img)