mirror of
https://github.com/opencv/opencv.git
synced 2024-12-01 23:30:06 +08:00
40 lines
1.0 KiB
Python
Executable File
40 lines
1.0 KiB
Python
Executable File
#!/usr/bin/python
|
|
|
|
'''
|
|
This example illustrates how to use cv2.HoughCircles() function.
|
|
|
|
Usage:
|
|
houghcircles.py [<image_name>]
|
|
image argument defaults to ../data/board.jpg
|
|
'''
|
|
|
|
# Python 2/3 compatibility
|
|
from __future__ import print_function
|
|
|
|
import cv2
|
|
import numpy as np
|
|
import sys
|
|
|
|
if __name__ == '__main__':
|
|
print(__doc__)
|
|
|
|
try:
|
|
fn = sys.argv[1]
|
|
except IndexError:
|
|
fn = "../data/board.jpg"
|
|
|
|
src = cv2.imread(fn, 1)
|
|
img = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
|
|
img = cv2.medianBlur(img, 5)
|
|
cimg = src.copy() # numpy function
|
|
|
|
circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT, 1, 10, np.array([]), 100, 30, 1, 30)
|
|
a, b, c = circles.shape
|
|
for i in range(b):
|
|
cv2.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv2.LINE_AA)
|
|
cv2.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv2.LINE_AA) # draw center of circle
|
|
|
|
cv2.imshow("source", src)
|
|
cv2.imshow("detected circles", cimg)
|
|
cv2.waitKey(0)
|