CODEWITHSUNDEEP
pythonopencv
Ryan
Ryan

Reputation: 10109

Integer argument expected int got float in opencv

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()`

Upvotes: 5

Views: 15113

Answers (3)

Chengsi Zhang
Chengsi Zhang

Reputation: 146

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.

Upvotes: 10

Jazz
Jazz

Reputation: 946

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()

Upvotes: 3

onur aslan
onur aslan

Reputation: 292

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)

Upvotes: 2

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