138 lines
		
	
	
		
			4.7 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			138 lines
		
	
	
		
			4.7 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
#! /usr/bin/env python
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print "OpenCV Python version of contours"
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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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# some default constants
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_SIZE = 500
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_DEFAULT_LEVEL = 3
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# definition of some colors
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_red = cv.cvScalar (0, 0, 255, 0);
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_green = cv.cvScalar (0, 255, 0, 0);
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_white = cv.cvRealScalar (255)
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_black = cv.cvRealScalar (0)
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# the callback on the trackbar, to set the level of contours we want
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# to display
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def on_trackbar (position):
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    # create the image for putting in it the founded contours
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    contours_image = cv.cvCreateImage (cv.cvSize (_SIZE, _SIZE), 8, 3)
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    # compute the real level of display, given the current position
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    levels = position - 3
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    # initialisation
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    _contours = contours
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    if levels <= 0:
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        # zero or negative value
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        # => get to the nearest face to make it look more funny
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        _contours = contours.h_next.h_next.h_next
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    # first, clear the image where we will draw contours
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    cv.cvSetZero (contours_image)
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    # draw contours in red and green
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    cv.cvDrawContours (contours_image, _contours,
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                       _red, _green,
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                       levels, 3, cv.CV_AA,
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                       cv.cvPoint (0, 0))
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    # finally, show the image
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    highgui.cvShowImage ("contours", contours_image)
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if __name__ == '__main__':
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    # create the image where we want to display results
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    image = cv.cvCreateImage (cv.cvSize (_SIZE, _SIZE), 8, 1)
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    # start with an empty image
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    cv.cvSetZero (image)
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    # draw the original picture
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    for i in range (6):
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        dx = (i % 2) * 250 - 30
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        dy = (i / 2) * 150
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 150, dy + 100),
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                      cv.cvSize (100, 70),
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                      0, 0, 360, _white, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 115, dy + 70),
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                      cv.cvSize (30, 20),
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                      0, 0, 360, _black, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 185, dy + 70),
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                      cv.cvSize (30, 20),
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                      0, 0, 360, _black, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 115, dy + 70),
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                      cv.cvSize (15, 15),
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                      0, 0, 360, _white, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 185, dy + 70),
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                      cv.cvSize (15, 15),
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                      0, 0, 360, _white, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 115, dy + 70),
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                      cv.cvSize (5, 5),
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                      0, 0, 360, _black, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 185, dy + 70),
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                      cv.cvSize (5, 5),
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                      0, 0, 360, _black, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 150, dy + 100),
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                      cv.cvSize (10, 5),
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                      0, 0, 360, _black, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 150, dy + 150),
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                      cv.cvSize (40, 10),
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                      0, 0, 360, _black, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 27, dy + 100),
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                      cv.cvSize (20, 35),
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                      0, 0, 360, _white, -1, 8, 0)
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        cv.cvEllipse (image,
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                      cv.cvPoint (dx + 273, dy + 100),
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                      cv.cvSize (20, 35),
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                      0, 0, 360, _white, -1, 8, 0)
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    # create window and display the original picture in it
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    highgui.cvNamedWindow ("image", 1)
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    highgui.cvShowImage ("image", image)
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    # create the storage area
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    storage = cv.cvCreateMemStorage (0)
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    # find the contours
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    nb_contours, contours = cv.cvFindContours (image,
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                                               storage,
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                                               cv.sizeof_CvContour,
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                                               cv.CV_RETR_TREE,
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                                               cv.CV_CHAIN_APPROX_SIMPLE,
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                                               cv.cvPoint (0,0))
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    # comment this out if you do not want approximation
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    contours = cv.cvApproxPoly (contours, cv.sizeof_CvContour,
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                                storage,
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                                cv.CV_POLY_APPROX_DP, 3, 1)
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    # create the window for the contours
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    highgui.cvNamedWindow ("contours", 1)
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    # create the trackbar, to enable the change of the displayed level
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    highgui.cvCreateTrackbar ("levels+3", "contours", 3, 7, on_trackbar)
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    # call one time the callback, so we will have the 1st display done
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    on_trackbar (_DEFAULT_LEVEL)
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    # wait a key pressed to end
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    highgui.cvWaitKey (0)
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