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