我已经在下面显示了代码，但是当我尝试执行它时，得到
Traceback (most recent call last):
File "/home/decentmakeover2/Code/cv.py", line 22, in <module>
img = cv2.circle(img,center, radius, (0,255, 0), 2)
TypeError: integer argument expected, got float
我不确定问题出在哪里，在mineConclosingCircle中，值已转换为int，但我仍然得到相同的错误，对可能出现的问题有什么想法吗？
import numpy as np
import cv2
import os
from scipy import ndimage
img = cv2.pyrDown(cv2.imread('img.jpeg'))
ret, thresh = cv2.threshold(cv2.cvtColor(img.copy(), cv2.COLOR_BGR2GRAY), 127, 255, cv2.THRESH_BINARY)
image, contours, heir = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
x, y , w, h = cv2.boundingRect(c)
cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
rect = cv2.minAreaRect(c)
box = cv2.boxPoints(rect)
box = np.int0(box)
cv2.drawContours(img, [box], 0 , (0, 0, 255), 3)
(x,y), radius = cv2.minEnclosingCircle(c)
center = (int(x), int(y))
radius = int(radius)
img = cv2.circle(img, center, radius, (0,255, 0), 2)
cv2.drawContours(img, contours, -1, (255, 0, 0), 1)
cv2.imshow('contours',img)
cv2.waitKey(0)
cv2.destroyAllWindows()`
这个答案可能太迟了，但我发现cv2.circle只能接受中心坐标精度高达Float32。如果坐标在flat64中，它将抛出此错误。简单的解决方法是始终将中心坐标转换为numpy.float32。
我对您的代码做了一些小的修改，以将浮点数转换为整数。它现在运行没有错误。检查这个：
import numpy as np
import cv2
import os
from scipy import ndimage
img = cv2.pyrDown(cv2.imread('img.jpeg'))
ret, thresh = cv2.threshold(cv2.cvtColor(img.copy(), cv2.COLOR_BGR2GRAY), 127, 255, cv2.THRESH_BINARY)
image, contours, heir = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
x, y ,w ,h = cv2.boundingRect(c)
cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
rect = cv2.minAreaRect(c)
box = cv2.boxPoints(rect)
box = np.int0(box)
cv2.drawContours(img, [box], 0 , (0, 0, 255), 3)
(x,y), radius = cv2.minEnclosingCircle(c)
x = np.round(x).astype("int")
y = np.round(y).astype("int")
center = (x,y)
radius = np.round(radius).astype("int")
cv2.circle(img, center, radius, (0,255, 0), 2)
cv2.drawContours(img, contours, -1, (255, 0, 0), 1)
cv2.imshow('contours',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
修改你的代码如下你不需要使用返回值的cv2.circle.
cv2.circle(img,center, radius, (0,255, 0), 2)
