generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Fix houghcircles.py when no circles found

Browse Source 
In the C++ equivalent of this example a check is made whether the vector (here in Python we have a list) actually has any circles in it that is whether the Hough circles function has managed to find any in the given image. This check is missing for the Python example and if no circles are found the application breaks.
This commit is contained in:
Aleksandar Atanasov 2016-06-02 10:58:46 +02:00
parent 5d4f22e096
commit cf0df733da
1 changed files with 6 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
samples/python/houghcircles.py
View File

@ -29,6 +29,8 @@ if __name__ == '__main__':
cimg = src.copy() # numpy function
circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT, 1, 10, np.array([]), 100, 30, 1, 30)
if circles != 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)