python - ValueError:太多值无法在OpenCV项目中解压缩

Question

摘自文章A guide to finding books in images using Python and OpenCV.的ode

我在PyCharm启动该项目。它们是从图片中推导出来的，当必须有四分之一时-它消除了错误

(cnts , _) = cv2.findContours(closed.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) ValueError: too many values to unpack (expected 2)

# import the necessary packages
import numpy as np
import cv2

# load the image, convert it to grayscale, and blur it
image = cv2.imread("example.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (3, 3), 0)
cv2.imshow("Gray", gray)
cv2.waitKey(0)

# detect edges in the image
edged = cv2.Canny(gray, 10, 250)
cv2.imshow("Edged", edged)
cv2.waitKey(0)

# construct and apply a closing kernel to 'close' gaps between 'white'
# pixels
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (7, 7))
closed = cv2.morphologyEx(edged, cv2.MORPH_CLOSE, kernel)
cv2.imshow("Closed", closed)
cv2.waitKey(0)

# find contours (i.e. the 'outlines') in the image and initialize the
# total number of books found
(cnts, _) = cv2.findContours(closed.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
total = 0

# loop over the contours
for c in cnts:
    # approximate the contour
    peri = cv2.arcLength(c, True)
    approx = cv2.approxPolyDP(c, 0.02 * peri, True)

    # if the approximated contour has four points, then assume that the
    # contour is a book -- a book is a rectangle and thus has four vertices
    if len(approx) == 4:
        cv2.drawContours(image, [approx], -1, (0, 255, 0), 4)
        total += 1

# display the output
print "I found {0} books in that image".format(total)
cv2.imshow("Output", image)
cv2.waitKey(0)

Answer 1

根据cv2版本的，此函数可能返回不同数量的元素。
问题是您使用的是cv2版本3，而不是版本2。

首先，您的版本是什么？

使用:

import cv2
cv2.__version__

要解决该错误，请首先尝试以下操作:

(_, cnts, _)  = cv2.findContours(closed.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

Documentation 3.4.1