mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
42 lines
1.2 KiB
42 lines
1.2 KiB
#!/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) |
|
|
|
if circles is not None: # Check if circles have been found and only then iterate over these and add them to the image |
|
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("detected circles", cimg) |
|
|
|
cv2.imshow("source", src) |
|
cv2.waitKey(0)
|
|
|