OpenCV Example 2

import cv2
import datetime
import time
import numpy
from multiprocessing import shared_memory

def detect(frame):
	#Convert source image to hsv image
	hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

	#Define the range of color blue
	lower_boarder = numpy.array([110, 50, 50])
	upper_boarder = numpy.array([130, 255, 255])

	#Show the blue values in white, all others black
	mask = cv2.inRange(hsv, lower_boarder, upper_boarder)

	#Get the treshold and contours of the blue elements
	ret, threshed_img = cv2.threshold(mask, 0, 255, cv2.THRESH_BINARY)
	contours, hier = cv2.findContours(threshed_img, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

	#Bounding rect around every blue element and get coordinates
	s=''
	for c in contours:
		(x,y,w,h) = cv2.boundingRect(c)
		pt = (x, y+h)
		cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 1)
		s += str(pt) + ' '
		#Prevent to many contours in share memory sting
		if len(s) > 50:
			break
	return s

#Get the image of camera
def getVideoFrame():
	cam = cv2.VideoCapture(0)
	ret_val, frame = cam.read()
	cv2.imshow("frame", frame)
	return frame

def shareMemory(memName, memString, memSize, memTime):
	#Create new shared memory object
	shm = shared_memory.SharedMemory(name=memName, create=True, size=memSize)
	#Encode string in utf-8
	encoded=memString.encode('utf-8')
	#Convert string to bytearray
	bArr = bytearray(encoded)
	#Write every single element in shared memory buffer
	if len(bArr) < memSize:
		for i in range(len(bArr)):
			shm.buf[i] = bArr[i]
	#Delay to read the memory in other application, before close
	time.sleep(memTime)
	shm.close()

if __name__ == '__main__':
	#Get the image of an file
	frame = cv2.imread("Bubbles_640x480.jpg")
	#To get video call getVideoFrame() in a loop
	#Add a time stamp to the string
	s = detect(frame) + str(datetime.datetime.now())
	shareMemory(memName='MySharedMemory', memString=s, memSize=100, memTime=60)