我已经显示了下面的代码,但是当我尝试执行它时,请
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
我不确定问题是什么,在minEnclosingCircle中,值已经转换为int,但我仍然得到相同的错误,关于可能出现什么问题的任何想法?
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))
raduis = 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()`
答案 0 :(得分:2)
我对您的代码进行了一些小改动,以便将浮点数转换为整数。它现在运行没有错误。检查一下:
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()
答案 1 :(得分:1)
按如下所示修改代码,不需要使用cv2.circle的返回值。
readdir()
答案 2 :(得分:1)
这个答案可能为时已晚,但是我发现cv2.circle只能接受中心精度为float32的坐标。如果坐标在float64中,它将抛出此错误。简单的解决方案是始终将中心坐标转换为numpy.float32。