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#! /usr/bin/env python
print "OpenCV Python version of convexhull"
# import the necessary things for OpenCV
import cv2.cv as cv
# 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.CreateImage ( (500, 500), 8, 3)
# create the window to put the image in
cv.NamedWindow ('hull', cv.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 ( (
my_random.randrange (0, image.width / 2) + image.width / 4,
my_random.randrange (0, image.width / 2) + image.width / 4
))
# compute the convex hull
storage = cv.CreateMemStorage(0)
hull = cv.ConvexHull2 (points, storage, cv.CV_CLOCKWISE, 1)
# start with an empty image
cv.SetZero (image)
# draw all the points as circles in red
for i in range (count):
cv.Circle (image, points [i], 2,
(0, 0, 255, 0),
cv.CV_FILLED, cv.CV_AA, 0)
# Draw the convex hull as a closed polyline in green
cv.PolyLine(image, [hull], 1, cv.RGB(0,255,0), 1, cv.CV_AA)
# display the final image
cv.ShowImage ('hull', image)
# handle events, and wait a key pressed
k = cv.WaitKey (0) % 0x100
if k == 27:
# user has press the ESC key, so exit
break
cv.DestroyAllWindows()
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