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60 lines
1.5 KiB
Python
Executable File
60 lines
1.5 KiB
Python
Executable File
#! /usr/bin/env python
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print "OpenCV Python version of edge"
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import sys
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import urllib2
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import cv2.cv as cv
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# some definitions
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win_name = "Edge"
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trackbar_name = "Threshold"
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# the callback on the trackbar
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def on_trackbar(position):
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cv.Smooth(gray, edge, cv.CV_BLUR, 3, 3, 0)
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cv.Not(gray, edge)
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# run the edge dector on gray scale
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cv.Canny(gray, edge, position, position * 3, 3)
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# reset
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cv.SetZero(col_edge)
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# copy edge points
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cv.Copy(im, col_edge, edge)
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# show the im
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cv.ShowImage(win_name, col_edge)
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if __name__ == '__main__':
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if len(sys.argv) > 1:
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im = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
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else:
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url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
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filedata = urllib2.urlopen(url).read()
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imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
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cv.SetData(imagefiledata, filedata, len(filedata))
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im = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
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# create the output im
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col_edge = cv.CreateImage((im.width, im.height), 8, 3)
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# convert to grayscale
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gray = cv.CreateImage((im.width, im.height), 8, 1)
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edge = cv.CreateImage((im.width, im.height), 8, 1)
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cv.CvtColor(im, gray, cv.CV_BGR2GRAY)
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# create the window
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cv.NamedWindow(win_name, cv.CV_WINDOW_AUTOSIZE)
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# create the trackbar
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cv.CreateTrackbar(trackbar_name, win_name, 1, 100, on_trackbar)
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# show the im
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on_trackbar(0)
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# wait a key pressed to end
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cv.WaitKey(0)
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