Face Detection using Raspberry pi and OpenCv

Face 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)

image = cv2.imdecode(buff, 1)

face_cascade = cv2.CascadeClassifier('/usr/share/opencvfolder/haarcascade_frontalface_alt.xml')

#Convert to grayscale
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.1, 5)

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

for (x,y,w,h) in faces:
    cv2.rectangle(image,(x,y),(x+w,y+h),(255,255,0),2)

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