如何修复Pi Camera没有读取错误的属性

Question

from picamera.array import PiRGBArray
from picamera import PiCamera
import numpy as np
import time
import datetime
import cv2

初始化摄像机并获取对原始摄像机捕获的引用

camera = PiCamera()
camera.resolution = (640, 480)
camera.framerate = 32
rawCapture = PiRGBArray(camera, size=(640, 480))
# allow the camera to warmup
time.sleep(0.1)
# capture frames from the camera
def nothing(x):
    pass

cv2.namedWindow("Parameters")
cv2.resizeWindow("Parameters",640,150)
cv2.createTrackbar("Threshold1","Parameters",102,255,nothing)
cv2.createTrackbar("Threshold2","Parameters",135,255,nothing)
cv2.createTrackbar("Area","Parameters",3913,30000,nothing)

用于物体检测

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] == imgArray[0][0].shape [:2]:
                    imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
                else:
                    imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
                if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
        imageBlank = np.zeros((height, width, 3), np.uint8)
        hor = [imageBlank]*rows
        hor_con = [imageBlank]*rows
        for x in range(0, rows):
            hor[x] = np.hstack(imgArray[x])
        ver = np.vstack(hor)
    else:
        for x in range(0, rows):
            if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
                imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
            else:
                imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale)
            if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
        hor= np.hstack(imgArray)
        ver = hor
    return ver

//用于获取轮廓 对于camera.capture_continuous（rawCapture，format =“ bgr”，use_video_port = True）中的帧： def getContours（img，imgContour）： _，轮廓，层次结构= cv2.findContours（img，cv2.RETR_EXTERNAL，cv2.CHAIN_APPROX_NONE） 对于轮廓的cnt： 面积= cv2.contourArea（cnt） areaMin = cv2.getTrackbarPos（“ Area”，“ Parameters”） 如果area> areaMin： cv2.drawContours（imgContour，cnt，-1，（0，255，0），7） 围= cv2.arcLength（cnt，True） 大约= cv2.approxPolyDP（cnt，0.02 * peri，True） x，y，w，h = cv2.boundingRect（大约） 文字=“已占用” cv2.putText（imgContour，“状态：{}”。format（文本），（10，20）， cv2.FONT_HERSHEY_SIMPLEX，0.5，（0，0，255），2）

显示框架

    success, img = camera.read()
    cv2.putText(img, "Status : ", (10, 20),cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
    cv2.putText(img, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S %p"),(10, img.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
    imgContour = img.copy()
    imgBlur = cv2.GaussianBlur(img, (7, 7), 1)
    imgGray = cv2.cvtColor(imgBlur, cv2.COLOR_BGR2GRAY)
    threshold1 = cv2.getTrackbarPos("Threshold1", "Parameters")
    threshold2 = cv2.getTrackbarPos("Threshold2", "Parameters")
    imgCanny = cv2.Canny(imgGray,threshold1,threshold2)
    kernel = np.ones((5, 5))
    imgDil = cv2.dilate(imgCanny, kernel, iterations=1)
    getContours(imgDil,imgContour)
    imgStack = stackImages(0.8,([imgContour]))
    cv2.imshow("Result", imgStack)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break