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3dcc8c38b4
Removed obsolete python samples #25268 Clean Samples #25006 This PR removes 36 obsolete python samples from the project, as part of an effort to keep the codebase clean and focused on current best practices. Some of these samples will be updated with latest algorithms or will be combined with other existing samples. Removed Samples: > browse.py camshift.py coherence.py color_histogram.py contours.py deconvolution.py dft.py dis_opt_flow.py distrans.py edge.py feature_homography.py find_obj.py fitline.py gabor_threads.py hist.py houghcircles.py houghlines.py inpaint.py kalman.py kmeans.py laplace.py lk_homography.py lk_track.py logpolar.py mosse.py mser.py opt_flow.py plane_ar.py squares.py stitching.py text_skewness_correction.py texture_flow.py turing.py video_threaded.py video_v4l2.py watershed.py These changes aim to improve the repository's clarity and usability by removing examples that are no longer relevant or have been superseded by more up-to-date techniques.
61 lines
1.5 KiB
Python
Executable File
61 lines
1.5 KiB
Python
Executable File
#!/usr/bin/python
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'''
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This example illustrates how to use Hough Transform to find lines
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Usage:
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houghlines.py [<image_name>]
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image argument defaults to pic1.png
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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 cv2 as cv
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import numpy as np
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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 = 'pic1.png'
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src = cv.imread(cv.samples.findFile(fn))
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dst = cv.Canny(src, 50, 200)
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cdst = cv.cvtColor(dst, cv.COLOR_GRAY2BGR)
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if True: # HoughLinesP
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lines = cv.HoughLinesP(dst, 1, math.pi/180.0, 40, np.array([]), 50, 10)
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a, b, _c = lines.shape
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for i in range(a):
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cv.line(cdst, (lines[i][0][0], lines[i][0][1]), (lines[i][0][2], lines[i][0][3]), (0, 0, 255), 3, cv.LINE_AA)
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else: # HoughLines
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lines = cv.HoughLines(dst, 1, math.pi/180.0, 50, np.array([]), 0, 0)
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if lines is not None:
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a, b, _c = lines.shape
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for i in range(a):
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rho = lines[i][0][0]
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theta = lines[i][0][1]
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a = math.cos(theta)
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b = math.sin(theta)
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x0, y0 = a*rho, b*rho
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pt1 = ( int(x0+1000*(-b)), int(y0+1000*(a)) )
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pt2 = ( int(x0-1000*(-b)), int(y0-1000*(a)) )
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cv.line(cdst, pt1, pt2, (0, 0, 255), 3, cv.LINE_AA)
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cv.imshow("detected lines", cdst)
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cv.imshow("source", 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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