opencv识别物体

import cv2
import numpy as np

frameWidth = 640
frameHeight = 480
cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)
cap.set(4, frameHeight)

def empty(a):
    pass

cv2.namedWindow("Parameters")
cv2.resizeWindow("Parameters",640,240)
cv2.createTrackbar("Threshold1","Parameters",23,255,empty)
cv2.createTrackbar("Threshold2","Parameters",20,255,empty)
cv2.createTrackbar("Area","Parameters",5000,30000,empty)

def stackImages(scale,imgArray):
    rows = len(imgArray)
    cols = len(imgArray[0])
    rowsAvailable = isinstance(imgArray[0], list)
    width = imgArray[0][0].shape[1]
    height = imgArray[0][0].shape[0]
    if rowsAvailable:
        for x in range ( 0, rows):
            for y in range(0, cols):
                if imgArray[x][y].shape[:2]