Integer argument expected int got float in opencv

Question

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()`

Answer 1

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.

Answer 2

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()