OpenCV断言失败:(-215:断言失败)npoints> = 0&& (深度== CV_32F ||深度== CV_32S) [英] OpenCV Assertion failed: (-215:Assertion failed) npoints >= 0 && (depth == CV_32F || depth == CV_32S)

问题描述

我在

当我尝试运行代码时，出现以下错误:

When I try to run the code I get the following error:

[INFO] processing image 1/9955
Traceback (most recent call last):
  File "extract_single_letters_from_captchas.py", line 47, in <module>
    (x, y, w, h) = cv2.boundingRect(contour)
cv2.error: OpenCV(4.0.0) /Users/travis/build/skvark/opencv-python/opencv/modules/imgproc/src/shapedescr.cpp:741: error: (-215:Assertion failed) npoints >= 0 && (depth == CV_32F || depth == CV_32S) in function 'pointSetBoundingRect'

我尝试在StackOverflow上寻找解决方案，但没有发现任何远程相似的地方.

I've tried searching for a solution on StackOverflow, but I didn't find anything remotely similar.

编辑(请参阅评论):

• type(contour[0]) = <class 'numpy.ndarray'>

len(contour) = 4

推荐答案

这是做错了事:

contours = contours[0] if imutils.is_cv2() else contours[1]

imutils.is_cv2()返回False，即使它应该返回True.如果您不希望删除此依赖项，请更改为:

imutils.is_cv2() is returning False even though it should return True. If you don't mind to remove this dependency, change to:

contours = contours[0]

---

我找到了原因.您关注的教程可能是在OpenCV 4发布之前发布的. OpenCV 3已更改 返回image, contours, hierarchy，而 OpenCV 4的cv2.findContours(...) 返回contours, hierarchy.因此，在OpenCV 4之前，可以正确地说，如果您使用OpenCV 2，则应该为contours[0]，否则为contours[1].如果您仍然希望拥有这种兼容性"，则可以更改为:

---

I found out the reason. Probably, the tutorial you are following was published before OpenCV 4 was released. OpenCV 3 changed cv2.findContours(...) to return image, contours, hierarchy, while OpenCV 2's cv2.findContours(...) and OpenCV 4's cv2.findContours(...) return contours, hierarchy. Therefore, before OpenCV 4, it was correct to say that if you use OpenCV 2 it should be contours[0] else contours[1]. If you still want to have this "compatibility", you can change to:

contours = contours[1] if imutils.is_cv3() else contours[0]

这篇关于OpenCV断言失败:(-215:断言失败)npoints> = 0&& (深度== CV_32F ||深度== CV_32S)的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！