mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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78 lines
2.1 KiB
78 lines
2.1 KiB
#! /usr/bin/env python |
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print "OpenCV Python version of convexhull" |
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# import the necessary things for OpenCV |
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from opencv import cv |
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from opencv import highgui |
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# to generate random values |
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import random |
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# how many points we want at max |
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_MAX_POINTS = 100 |
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if __name__ == '__main__': |
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# main object to get random values from |
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my_random = random.Random () |
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# create the image where we want to display results |
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image = cv.cvCreateImage (cv.cvSize (500, 500), 8, 3) |
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# create the window to put the image in |
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highgui.cvNamedWindow ('hull', highgui.CV_WINDOW_AUTOSIZE) |
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while True: |
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# do forever |
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# get a random number of points |
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count = my_random.randrange (0, _MAX_POINTS) + 1 |
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# initialisations |
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points = [] |
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for i in range (count): |
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# generate a random point |
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points.append (cv.cvPoint ( |
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my_random.randrange (0, image.width / 2) + image.width / 4, |
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my_random.randrange (0, image.width / 2) + image.width / 4 |
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)) |
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# compute the convex hull |
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hull = cv.cvConvexHull2 (points, cv.CV_CLOCKWISE, 0) |
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# start with an empty image |
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cv.cvSetZero (image) |
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for i in range (count): |
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# draw all the points |
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cv.cvCircle (image, points [i], 2, |
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cv.cvScalar (0, 0, 255, 0), |
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cv.CV_FILLED, cv.CV_AA, 0) |
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# start the line from the last point |
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pt0 = points [hull [-1]] |
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for point_index in hull: |
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# connect the previous point to the current one |
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# get the current one |
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pt1 = points [point_index] |
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# draw |
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cv.cvLine (image, pt0, pt1, |
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cv.cvScalar (0, 255, 0, 0), |
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1, cv.CV_AA, 0) |
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# now, current one will be the previous one for the next iteration |
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pt0 = pt1 |
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# display the final image |
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highgui.cvShowImage ('hull', image) |
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# handle events, and wait a key pressed |
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k = highgui.cvWaitKey (0) |
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if k == '\x1b': |
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# user has press the ESC key, so exit |
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break
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