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be63ce723f
updated links in cheatsheet renamed directory for Mat tutorial changed links from willow docs to opencv.itseez.com, from Trac to current Redmine
53 lines
2.0 KiB
Python
Executable File
53 lines
2.0 KiB
Python
Executable File
#!/usr/bin/python
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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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src = 0
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image = 0
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dest = 0
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element_shape = cv.CV_SHAPE_RECT
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def Opening(pos):
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element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
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cv.Erode(src, image, element, 1)
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cv.Dilate(image, dest, element, 1)
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cv.ShowImage("Opening & Closing", dest)
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def Closing(pos):
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element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
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cv.Dilate(src, image, element, 1)
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cv.Erode(image, dest, element, 1)
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cv.ShowImage("Opening & Closing", dest)
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def Erosion(pos):
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element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
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cv.Erode(src, dest, element, 1)
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cv.ShowImage("Erosion & Dilation", dest)
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def Dilation(pos):
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element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
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cv.Dilate(src, dest, element, 1)
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cv.ShowImage("Erosion & Dilation", dest)
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if __name__ == "__main__":
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if len(sys.argv) > 1:
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src = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
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else:
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url = 'http://code.opencv.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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src = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
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image = cv.CloneImage(src)
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dest = cv.CloneImage(src)
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cv.NamedWindow("Opening & Closing", 1)
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cv.NamedWindow("Erosion & Dilation", 1)
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cv.ShowImage("Opening & Closing", src)
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cv.ShowImage("Erosion & Dilation", src)
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cv.CreateTrackbar("Open", "Opening & Closing", 0, 10, Opening)
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cv.CreateTrackbar("Close", "Opening & Closing", 0, 10, Closing)
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cv.CreateTrackbar("Dilate", "Erosion & Dilation", 0, 10, Dilation)
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cv.CreateTrackbar("Erode", "Erosion & Dilation", 0, 10, Erosion)
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cv.WaitKey(0)
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cv.DestroyWindow("Opening & Closing")
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cv.DestroyWindow("Erosion & Dilation")
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