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66
5_Bildanalyse/ü8/l_a.py
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66
5_Bildanalyse/ü8/l_a.py
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import numpy as np
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import cv2
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obj1 = np.asarray([
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[0, 0, 0, 0, 0, 0, 0, 0],
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[0, 1, 1, 1, 1, 1, 0, 0],
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[0, 1, 1, 0, 1, 1, 0, 0],
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[0, 1, 1, 1, 1, 1, 0, 0],
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[0, 0, 1, 1, 1, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0],
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])
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obj2 = np.asarray([
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[0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 1, 0, 0, 0],
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[0, 0, 0, 1, 1, 0, 0, 0],
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[0, 0, 0, 1, 1, 0, 0, 0],
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[0, 0, 0, 1, 1, 1, 0, 0],
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[0, 0, 0, 0, 1, 1, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0],
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])
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# obj1 = np.ones((5, 5))
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# obj2 = np.ones((5, 5))
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union = np.maximum(obj1, obj2)
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# Visualize images
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# Resize image
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obj1 = np.repeat(obj1, 50, axis=1)
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obj1 = np.repeat(obj1, 50, axis=0)
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obj2 = np.repeat(obj2, 50, axis=1)
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obj2 = np.repeat(obj2, 50, axis=0)
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union = np.repeat(union, 50, axis=1)
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union = np.repeat(union, 50, axis=0)
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# Add seperators
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obj1[0::2, ::50] = 1
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obj1[1::2, ::50] = 0
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obj1[::50, 0::2] = 1
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obj1[::50, 1::2] = 0
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obj2[0::2, ::50] = 1
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obj2[1::2, ::50] = 0
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obj2[::50, 0::2] = 1
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obj2[::50, 1::2] = 0
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union[0::2, ::50] = 1
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union[1::2, ::50] = 0
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union[::50, 0::2] = 1
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union[::50, 1::2] = 0
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# Show image
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obj1 = obj1.astype(np.float64)
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obj2 = obj2.astype(np.float64)
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union = union.astype(np.float64)
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cv2.imshow("obj1", obj1)
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cv2.imshow("obj2", obj2)
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cv2.imshow("union", union)
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cv2.imwrite("data/white.png", obj1 * 255)
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cv2.waitKey(0)
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