Intel Edison code

For the Intel Edison, let's find out what is actually possible. We don't have a display, so we can rely only on console messages and LED, perhaps, for visual signals. Next, we may need to optimize the code to run on the Intel Edison. But first let's edit the code discussed previously to include an LED and some kind of messages to the picture:

import cv2 
import numpy as np 
import sys 
import os 

faceCascade = cv2.CascadeClassifier('C:/opencv/build/haarcascade_frontalface_default.xml') 
video_capture = cv2.VideoCapture(0) 
led = mraa.Gpio(13)   
led.dir(mraa.DIR_OUT) 
while (1): 
led.write(0) 
    # Capture frame-by-frame 
    ret, frame = video_capture.read() 

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) 
    faces = faceCascade.detectMultiScale(gray, 2, 4) 
    iflen(faces) > 0: 
      print("Detected") 
        led.write(1) 
    else: 
      print("You are clear to proceed") 
        led.write(0) 
    if cv2.waitKey(25) == 27: 
      video_capture.release(...