test_tracking.py

# import the necessary packages
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
import numpy as np
from matplotlib.pyplot import *
import math

# initialize the camera and grab a reference to the raw camera capture
camera = PiCamera()
camera.resolution = (640, 480)
camera.framerate = 50
camera.hflip = True

rawCapture = PiRGBArray(camera, size=(640, 480))
 
# allow the camera to warmup
time.sleep(0.1)
 
# capture frames from the camera
for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
	# grab the raw NumPy array representing the image, then initialize the timestamp
	# and occupied/unoccupied text
        img1 = frame.array
        img2 = cv2.cvtColor(img1, cv2.COLOR_BGR2RGB)
        cv2.imshow("img1",img2)
        
        red,green,blue = cv2.split(img2)
        cv2.imshow("red",red)
        cv2.imshow("green",green)
        cv2.imshow("blue",blue)
        
        seuil=110.0
        ret,seg_red = cv2.threshold(red,seuil,255.0,cv2.THRESH_BINARY_INV)
        cv2.imshow("seg_red", seg_red)
        
        #cv2.imshow('thresh',thresh2)
        key = cv2.waitKey(1) & 0xFF
 
	# clear the stream in preparation for the next frame
        rawCapture.truncate(0)
 
	# if the `q` key was pressed, break from the loop
        if key == ord("q"):
        	break