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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aim to improve the repository's clarity and usability by removing examples that are no longer relevant or have been superseded by more up-to-date techniques.
56 lines
1.2 KiB
Python
Executable File
56 lines
1.2 KiB
Python
Executable File
#!/usr/bin/env python
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'''
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K-means clusterization sample.
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Usage:
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kmeans.py
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Keyboard shortcuts:
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ESC - exit
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space - generate new distribution
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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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from gaussian_mix import make_gaussians
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def main():
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cluster_n = 5
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img_size = 512
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# generating bright palette
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colors = np.zeros((1, cluster_n, 3), np.uint8)
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colors[0,:] = 255
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colors[0,:,0] = np.arange(0, 180, 180.0/cluster_n)
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colors = cv.cvtColor(colors, cv.COLOR_HSV2BGR)[0]
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while True:
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print('sampling distributions...')
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points, _ = make_gaussians(cluster_n, img_size)
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term_crit = (cv.TERM_CRITERIA_EPS, 30, 0.1)
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_ret, labels, _centers = cv.kmeans(points, cluster_n, None, term_crit, 10, 0)
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img = np.zeros((img_size, img_size, 3), np.uint8)
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for (x, y), label in zip(np.int32(points), labels.ravel()):
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c = list(map(int, colors[label]))
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cv.circle(img, (x, y), 1, c, -1)
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cv.imshow('kmeans', img)
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ch = cv.waitKey(0)
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if ch == 27:
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break
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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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