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#! /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)