29 lines
887 B
Python
29 lines
887 B
Python
# import the necessary packages
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import numpy as np
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import argparse
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import cv2
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import cv2.cv as cv
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circles = cv2.HoughCircles(gray,cv.CV_HOUGH_GRADIENT)
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img = cv2.imread("numeriser.png")
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gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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circles = cv2.HoughCircles(gray,cv2.HOUGH_GRADIENT)
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# ensure at least some circles were found
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if circles is not None:
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# convert the (x, y) coordinates and radius of the circles to integers
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circles = np.round(circles[0, :]).astype("int")
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# loop over the (x, y) coordinates and radius of the circles
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for (x, y, r) in circles:
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# draw the circle in the output image, then draw a rectangle
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# corresponding to the center of the circle
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cv2.circle(output, (x, y), r, (0, 255, 0), 4)
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cv2.rectangle(output, (x - 5, y - 5), (x + 5, y + 5), (0, 128, 255), -1)
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# show the output image
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cv2.imshow("output", np.hstack([image, output]))
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cv2.waitKey(0)
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