Opencv HoughCircles Insufficient memory) Failed to allocate memory in function 'cv::OutOfMemoryError' for large image

Question

I am getting this error when running openCV HoughCircle on large image

Exception has occurred: error OpenCV(4.3.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:73: error: (-4:Insufficient memory) Failed to allocate 278963136 bytes in function 'cv::OutOfMemoryError' File "C:\Users", line 17, in main circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, rows / 8, param1=200, param2=100, minRadius=0, maxRadius=0) File "C:\Users", line 36, in main(sys.argv[1:]) Blockquote

import sys
import cv2
import numpy as np
def main(argv):
    
    default_file = 'image.png'
    filename = argv[0] if len(argv) > 0 else default_file
    # Loads an image
    src = cv2.imread(cv2.samples.findFile(filename), cv2.IMREAD_COLOR)
   
    gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
    
    gray = cv2.medianBlur(gray, 5)

    rows = gray.shape[0]
    circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, rows / 8, param1=200, param2=100, minRadius=0, maxRadius=0)
    
    # if circles is not None:
    #     circles = np.uint16(np.around(circles))
    #     for i in circles[0, :]:
    #         center = (i[0], i[1])
    #         # circle center
    #         cv2.circle(src, center, 1, (0, 100, 100), 3)
    #         # circle outline
    #         radius = i[2]
    #         cv2.circle(src, center, radius, (255, 0, 255), 3)
    
    
    cv2.imshow("detected circles", src)
    cv2.waitKey(0)

    
    return 0
if __name__ == "__main__":
    main(sys.argv[1:])

Muhammed Yücel Muhammed Yücel · Accepted Answer · 2020-07-27T07:29:09

Maybe you could try downsizing your image first.

scale = 0.5 // 50% of original image
width = int(gray.shape[1] * scale)
height = int(gray.shape[0] * scale)
dim = (width, height)    
cv2.resize(gray, dim, interpolation = cv2.INTER_AREA)

Opencv HoughCircles Insufficient memory) Failed to allocate memory in function 'cv::OutOfMemoryError' for large image

1 Answers