65 lines
1.5 KiB
Python
Executable File
65 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 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 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.cvSmooth (gray, edge, cv.CV_BLUR, 3, 3, 0)
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cv.cvNot (gray, edge)
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# run the edge dector on gray scale
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cv.cvCanny (gray, edge, position, position * 3, 3)
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# reset
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cv.cvSetZero (col_edge)
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# copy edge points
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cv.cvCopy (image, col_edge, edge)
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# show the image
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highgui.cvShowImage (win_name, col_edge)
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if __name__ == '__main__':
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filename = "../c/fruits.jpg"
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if len(sys.argv)>1:
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filename = sys.argv[1]
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# load the image gived on the command line
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image = highgui.cvLoadImage (filename)
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if not image:
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print "Error loading image '%s'" % filename
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sys.exit(-1)
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# create the output image
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col_edge = cv.cvCreateImage (cv.cvSize (image.width, image.height), 8, 3)
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# convert to grayscale
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gray = cv.cvCreateImage (cv.cvSize (image.width, image.height), 8, 1)
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edge = cv.cvCreateImage (cv.cvSize (image.width, image.height), 8, 1)
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cv.cvCvtColor (image, gray, cv.CV_BGR2GRAY)
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# create the window
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highgui.cvNamedWindow (win_name, highgui.CV_WINDOW_AUTOSIZE)
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# create the trackbar
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highgui.cvCreateTrackbar (trackbar_name, win_name, 1, 100, on_trackbar)
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# show the image
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on_trackbar (0)
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# wait a key pressed to end
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highgui.cvWaitKey (0)
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