+++ /dev/null
-#! /usr/bin/env python
-
-print "OpenCV Python version of edge"
-
-import sys
-
-# import the necessary things for OpenCV
-from opencv import cv
-from opencv import highgui
-
-# some definitions
-win_name = "Edge"
-trackbar_name = "Threshold"
-
-# the callback on the trackbar
-def on_trackbar (position):
-
- cv.cvSmooth (gray, edge, cv.CV_BLUR, 3, 3, 0)
- cv.cvNot (gray, edge)
-
- # run the edge dector on gray scale
- cv.cvCanny (gray, edge, position, position * 3, 3)
-
- # reset
- cv.cvSetZero (col_edge)
-
- # copy edge points
- cv.cvCopy (image, col_edge, edge)
-
- # show the image
- highgui.cvShowImage (win_name, col_edge)
-
-if __name__ == '__main__':
- filename = "../c/fruits.jpg"
-
- if len(sys.argv)>1:
- filename = sys.argv[1]
-
- # load the image gived on the command line
- image = highgui.cvLoadImage (filename)
-
- if not image:
- print "Error loading image '%s'" % filename
- sys.exit(-1)
-
- # create the output image
- col_edge = cv.cvCreateImage (cv.cvSize (image.width, image.height), 8, 3)
-
- # convert to grayscale
- gray = cv.cvCreateImage (cv.cvSize (image.width, image.height), 8, 1)
- edge = cv.cvCreateImage (cv.cvSize (image.width, image.height), 8, 1)
- cv.cvCvtColor (image, gray, cv.CV_BGR2GRAY)
-
- # create the window
- highgui.cvNamedWindow (win_name, highgui.CV_WINDOW_AUTOSIZE)
-
- # create the trackbar
- highgui.cvCreateTrackbar (trackbar_name, win_name, 1, 100, on_trackbar)
-
- # show the image
- on_trackbar (0)
-
- # wait a key pressed to end
- highgui.cvWaitKey (0)