adaptive thresholding ---ValueError: too many values to unpack

Question

我在图像处理方面相当业余。我可以成功地进行正常的阈值处理，但是我在自适应阈值处理中遇到了错误。这是我的代码：

import cv2

import numpy as np

img = cv2.imread("vehicle004.jpg")

img = cv2.medianBlur(img,5)

gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

_,th2=cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)

cv2.imshow("window2",th2)

cv2.waitKey(0)

cv2.destroyAllWindows()

错误信息：

line 7, in <module>
    _,th2 = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)
ValueError: too many values to unpack

感谢任何帮助。

Answer 1

根据 documentation，cv2.adaptiveThreshold() returns 只有 1 个值是 阈值图像 ，在这种情况下，您正在尝试从该方法接收 2 个值，这就是引发 ValueError: too many values to unpack 错误的原因。

解决问题后，代码可能如下所示：

import cv2

import numpy as np

img = cv2.imread("vehicle004.jpg")

img = cv2.medianBlur(img,5)

gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

th2=cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)

cv2.imshow("window2",th2)

cv2.waitKey(0)

cv2.destroyAllWindows()

adaptive thresholding ---ValueError: too many values to unpack

adaptive thresholding ---ValueError: too many values to unpack

python

opencv

image-processing

adaptive-threshold