I am trying to detect circles in OpenCV using the method Houghcircles but when I am trying to run my code I get the following error:
Traceback (most recent call last):
File "detect_circles.py", line 19, in <module>
circles = cv2.cv.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 100)
AttributeError: 'module' object has no attribute 'cv'
I am currently following the tutorial from this website: http://www.pyimagesearch.com/2014/07/21/detecting-circles-images-using-opencv-hough-circles/
I was wondering what was causing this error and what I could do to fix it.
I am running the code like this:
python detect_circles.py --image images/simple.png
And this is my code:
# import the necessary packages
import numpy as np
import argparse
import cv2
import copy
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
args = vars(ap.parse_args())
# load the image, clone it for output, and then convert it to grayscale
image = cv2.imread(args["image"])
original_img = cv2.imread(args["image"])
clone_img = copy.copy(original_img)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# detect circles in the image
circles = cv2.cv.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 100)
# ensure at least some circles were found
if circles is not None:
# convert the (x, y) coordinates and radius of the circles to integers
circles = np.round(circles[0, :]).astype("int")
# loop over the (x, y) coordinates and radius of the circles
for (x, y, r) in circles:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
cv2.circle(output, (x, y), r, (0, 255, 0), 4)
cv2.rectangle(output, (x - 5, y - 5), (x + 5, y + 5), (0, 128, 255), -1)
# show the output image
cv2.imshow("output", np.hstack([image, output]))
cv2.waitKey(0)
cv2.cv.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 100)
The error message says it all. You have a typo in your code, the method should be called without the second cv module specifier.
cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1.2, 100)
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