Added cv.DestroyAllWindows() to file close
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@ -10,3 +10,4 @@ while True:
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cv.ShowImage("camera", img)
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if cv.WaitKey(10) == 27:
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break
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cv.DestroyAllWindows()
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@ -113,3 +113,4 @@ class CamShiftDemo:
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if __name__=="__main__":
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demo = CamShiftDemo()
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demo.run()
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cv.DestroyAllWindows()
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@ -31,3 +31,4 @@ if __name__ == "__main__":
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cv.ShowImage("win", im3);
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cv.WaitKey()
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cv.DestroyAllWindows()
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@ -133,3 +133,4 @@ if __name__ == '__main__':
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# wait a key pressed to end
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cv.WaitKey (0)
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cv.DestroyAllWindows()
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@ -62,3 +62,4 @@ if __name__ == '__main__':
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if k == 27:
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# user has press the ESC key, so exit
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break
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cv.DestroyAllWindows()
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@ -164,3 +164,4 @@ def main():
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if __name__ == "__main__":
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main()
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cv.DestroyAllWindows()
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@ -77,3 +77,4 @@ if __name__ == "__main__":
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dh = DemHist(src_image)
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cv.WaitKey(0)
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cv.DestroyAllWindows()
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@ -111,3 +111,4 @@ if __name__ == "__main__":
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cv.ShowImage("magnitude", image_Re)
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cv.WaitKey(0)
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cv.DestroyAllWindows()
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@ -69,3 +69,4 @@ if __name__ == "__main__":
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# Wait for a key stroke; the same function arranges events processing
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cv.WaitKey(0)
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cv.DestroyAllWindows()
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@ -5,6 +5,10 @@ import numpy
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import sys
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import math
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'''
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Find 2 D barcode based on up to 3 channel datamatrix
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'''
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def absnorm8(im, im8):
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""" im may be any single-channel image type. Return an 8-bit version, absolute value, normalized so that max is 255 """
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(minVal, maxVal, _, _) = cv.MinMaxLoc(im)
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@ -166,6 +170,7 @@ for (sym, coords) in df.find(bg).items():
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cv.ShowImage("results", scribble)
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cv.WaitKey()
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cv.DestroyAllWindows()
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sys.exit(0)
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@ -159,3 +159,4 @@ if __name__ == '__main__':
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# wait some key to end
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cv.WaitKey(0)
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cv.DestroyAllWindows()
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