用打开的简历解决索引超出范围的错误

时间:2019-01-23 08:00:00

标签: python-2.7

我正在使用开放式cv进行图像分析,但索引超出了范围错误。有没有办法使轮廓的长度等于x和y的mass_centres。任何帮助将不胜感激。谢谢

frame = cv2.imread('mes.jpg')

if frame is None:
    print('Error loading image')
    exit()

frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
ret, frame = cv2.threshold(frame, 127, 255, cv2.THRESH_BINARY)

frame, contours, hierarchy = cv2.findContours(frame, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

areas = []

for i in range(0, len(contours)):
    areas.append(cv2.contourArea(contours[i]))

mass_centres_x = []
mass_centres_y = []

for i in range(0, len(contours)):
  if M["m00"] != 0:
    M = cv2.moments(contours[i], 0)
    mass_centres_x.append(int(M['m10']/M['m00']))
    mass_centres_y.append(int(M['m01']/M['m00']))

print('Num particles: ', len(contours))



for i in range(0, len(contours)):
    print ('Area', (i + 1), ':', areas[i])


for i in range(0, len(contours)):
    print ('Centre',(i + 1),':', mass_centres_x[i], mass_centres_y[i]) 


cv2.imshow("Frame", frame)

cv2.waitKey(0)

0 个答案:

没有答案