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tribta
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import cv2
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import numpy as np
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input_image = np.array((
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[0, 0, 0, 0, 0, 0, 0, 0],
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[0, 255, 255, 255, 0, 0, 0, 255],
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[0, 255, 255, 255, 0, 0, 0, 0],
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[0, 255, 255, 255, 0, 255, 0, 0],
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[0, 0, 255, 0, 0, 0, 0, 0],
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[0, 0, 255, 0, 0, 255, 255, 0],
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[0,255, 0, 255, 0, 0, 255, 0],
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[0, 255, 255, 255, 0, 0, 0, 0]), dtype="uint8")
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kernel = np.array((
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[0, 1, 0],
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[1, -1, 1],
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[0, 1, 0]), dtype="int")
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output_image = cv2.morphologyEx(input_image, cv2.MORPH_HITMISS, kernel)
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rate = 50
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kernel = (kernel + 1) * 127
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kernel = np.uint8(kernel)
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kernel = cv2.resize(kernel, None, fx = rate, fy = rate, interpolation = cv2.INTER_NEAREST)
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cv2.imshow("kernel", kernel)
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cv2.moveWindow("kernel", 0, 0)
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input_image = cv2.resize(input_image, None, fx = rate, fy = rate, interpolation = cv2.INTER_NEAREST)
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cv2.imshow("Original", input_image)
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cv2.moveWindow("Original", 0, 200)
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output_image = cv2.resize(output_image, None , fx = rate, fy = rate, interpolation = cv2.INTER_NEAREST)
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cv2.imshow("Hit or Miss", output_image)
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cv2.moveWindow("Hit or Miss", 500, 200)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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