face_fan_hello light.py

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

import io
import picamera
import cv2
import numpy
import time
import RPi.GPIO as GPIO
import RobotApi as api

#init robot api
api.ubtRobotInitialize()
ret = api.ubtRobotConnect("SDK", "1", "127.0.0.1")

#GPIO setting for fan control
GPIO.setwarnings(False) # Ignore warning for now
GPIO.setmode(GPIO.BOARD) # Use physical pin numbering
# Set pin 16 to be an output pin and set initial value to high
GPIO.setup(16, GPIO.OUT, initial=GPIO.LOW)

#get the pictures and found face
while True :
        #Create a memory stream so photos doesn't need to be saved in a file
        stream = io.BytesIO()
	
        with picamera.PiCamera() as camera:
		camera.resolution = (320, 240)
		camera.capture(stream, format='jpeg')
	#Convert the picture into a numpy array
	buff = numpy.fromstring(stream.getvalue(), dtype=numpy.uint8)
	#Now creates an OpenCV image
	image = cv2.imdecode(buff, 1)
	#Load a cascade file for detecting faces
	face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml')
	#Convert to grayscale
	gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
	#Look for faces in the image using the loaded cascade file
	faces = face_cascade.detectMultiScale(gray, 1.1, 5)
	print "Found "+str(len(faces))+" face(s)"
        #Draw a rectangle around every found face
        for (x,y,w,h) in faces:
            cv2.rectangle(image,(x,y),(x+w,y+h),(255,255,0),2)
        #Save the result image
        cv2.imwrite('result.jpg',image)
        isInterrputed = 1
	# if found face turn on the fan
	if len(faces) > 0 :
            GPIO.output(16, GPIO.HIGH) # Turn on
            
            
            api.ubtStartRobotAction("reset", 1)
	else :
	    GPIO.output(16, GPIO.LOW) # Turn off
	time.sleep(2)

#---------------------------Disconnect--------------------------------------
api.ubtRobotDisconnect("SDK","1","127.0.0.1")
api.ubtRobotDeinitialize()