vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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#!/usr/bin/python
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'''
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This example illustrates how to use cv.ximgproc.findEllipses function.
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Usage:
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find_ellipses.py [<image_name>]
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image argument defaults to stuff.jpg
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import sys
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import math
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def main():
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try:
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fn = sys.argv[1]
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except IndexError:
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fn = 'stuff.jpg'
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src = cv.imread(cv.samples.findFile(fn))
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cv.imshow("source", src)
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ells = cv.ximgproc.findEllipses(src,scoreThreshold = 0.4, reliabilityThreshold = 0.7, centerDistanceThreshold = 0.02)
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if ells is not None:
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for i in range(len(ells)):
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center = (int(ells[i][0][0]), int(ells[i][0][1]))
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axes = (int(ells[i][0][2]),int(ells[i][0][3]))
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angle = ells[i][0][5] * 180 / math.pi
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color = (0, 0, 255)
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cv.ellipse(src, center, axes, angle,0, 360, color, 2, cv.LINE_AA)
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cv.imshow("detected ellipses", src)
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cv.waitKey(0)
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print('Done')
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if __name__ == '__main__':
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print(__doc__)
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main()
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cv.destroyAllWindows()
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