Face recognition in Raspberry Pi with OpenCV and sound with espeak

gistfile1.py

#!env python

import cv,pprint,os
from datetime import datetime

HAAR_CASCADE_PATH = "/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml"
CAMERA_INDEX = 0

def detect_faces(image, last):
    faces = []
    now = datetime.now().strftime("%k:%M:%S")
    detected = cv.HaarDetectObjects(image, cascade, storage, 1.2, 2, cv.CV_HAAR_DO_CANNY_PRUNING, (100,100))
    if detected:
        print now,"detected",last
        if last < 10:
                last = 0
        else:  
                print now, "came"
                t = datetime.now().strftime("%k %M")
                h = datetime.now().strftime("%k")
                command = "espeak -vsv -a 200 -p 30 -g 12 'Hejsan. Tiden er nu %s' 2>/dev/null > /dev/null" % t
                os.system(command)
                last = 0
    else:
        last += 1
    return last

if __name__ == "__main__":

    capture = cv.CaptureFromCAM(CAMERA_INDEX)
    cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_WIDTH, 640)
    cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_HEIGHT, 480);
    storage = cv.CreateMemStorage()
    cascade = cv.Load(HAAR_CASCADE_PATH)
    faces = []
    last = 0

    i = 0
    while True:
        image = cv.QueryFrame(capture)

        # Only run the Detection algorithm every 5 frames to improve performance
        last = detect_faces(image, last)
        k=cv.WaitKey(20)