5

I have displayed the code below, but when I try to execute it, get

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

Im not exactly sure what the problem is, in the minEnclosingCircle the values have been converted to int, but i still get the same error, any ideas on what might be the problem?

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()`
1
  • Please correct your Python code format !!! Commented Oct 16, 2017 at 10:36

3 Answers 3

10

This answer is probably too late, but I found that cv2.circle only can accept centre coordinates precision up to float32. If the coordinates are in float64, it will throw this error. Simple solution is always converting centre coordinates to numpy.float32.

Sign up to request clarification or add additional context in comments.

Comments

3

I have done small changes to your code for conversion of float numbers to integers. It is running without errors now. Check this:

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()

1 Comment

I wanted exact floats as centres. Casting to int is not precise enough for me.
2

Modify your code as follows you do not need to use return value of cv2.circle.

cv2.circle(img,center, radius, (0,255, 0), 2)

1 Comment

This doesn't remove error as error is due to float input arguments which should be integers. So, I think not exact solution of your error.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.