calculateMess.py

import numpy as np
import cv2
import urllib
import ssl
import time

maxWidth = 320
maxHeight = 240
maxClean = 71000.0
minClean = maxClean/2
tableCorners = np.array([[867, 629], [1137, 533], [1254, 627], [1013, 780] ], dtype = np.float32)

dstCorners = np.array([[0,0], [maxWidth-1,0], [maxWidth-1,maxHeight-1], [0,maxHeight-1]], dtype=np.float32)
M = cv2.getPerspectiveTransform(tableCorners, dstCorners)

while True:
    timestamp = time.strftime("%Y%m%d%H%M%S")
    image_file, _ = urllib.urlretrieve("https://10.0.1.100:8848/camera/49424/image.jpg?height=720&width=1280",  "frames/" + timestamp + ".jpg", context=ssl.SSLContext(ssl.PROTOCOL_SSLv23))

    image = cv2.imread(image_file)
    warped = cv2.warpPerspective(image, M, (maxWidth, maxHeight))
    cv2.imwrite("warped/" + timestamp + ".jpg", warped)

    grey = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    lighting = np.mean(grey)

    grey = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY)
    ret, thresh = cv2.threshold(grey, 220, 1, cv2.THRESH_BINARY)
    clean_raw = thresh.sum()
    clean_pc = ((clean_raw-minClean) / (maxClean-minClean)) * 100
    if clean_pc<0:
        clean_pc = 0
    if clean_pc>100:
        clean_pc = 100

    print timestamp+":", lighting, np.median(grey), np.std(grey), clean_pc, np.median(warped), np.std(warped)

    urllib.urlretrieve("https://api.thingspeak.com/update.json?api_key=PRIVATEKEY&field2={:.2f}&field1={:.2f}&field3={:.2f}".format(lighting, clean_pc, clean_raw))

    time.sleep(10*60)