52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""
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Author: Lukas Heiligenbrunner
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Matr.Nr.: K12104785
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Exercise 4
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"""
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import numpy as np
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def ex4(image_array: np.array, offset: (int, int), spacing: (int, int)) -> (np.array, np.array, np.array):
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if not isinstance(image_array, np.ndarray):
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raise TypeError
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if len(image_array.shape) != 3 or image_array.shape[2] != 3:
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raise NotImplementedError
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if not all([str(x).isnumeric() for x in offset + spacing]):
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raise ValueError
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if not all([0 <= x <= 32 for x in offset]) or not all([2 <= x <= 8 for x in spacing]):
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raise ValueError
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src = np.transpose(image_array, (2, 0, 1))
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mask = np.zeros_like(src)
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for x in range(offset[0], mask.shape[2], spacing[0]):
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for y in range(offset[1], mask.shape[1], spacing[1]):
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mask[:, y, x] = 1
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# masking the input
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masked = src * mask
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# calculate the remaining pixels
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rest = src * (1 - mask)
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rest = rest[1 - mask > 0]
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# raise error if known pixels are less than 144
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if (src.shape[1] * src.shape[2] - rest.size / 3) < 144:
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raise ValueError
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return masked, mask, rest
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if __name__ == '__main__':
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f, d, g = ex4(np.array([[(255, 255, 255), (255, 255, 255), (255, 255, 255), (255, 255, 255)],
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[(255, 255, 255), (255, 255, 255), (255, 255, 255), (255, 255, 255)],
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[(255, 255, 255), (255, 255, 255), (255, 255, 255), (255, 255, 255)],
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[(255, 255, 255), (255, 255, 255), (255, 255, 255), (255, 255, 255)],
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[(255, 255, 255), (255, 255, 255), (255, 255, 255), (255, 255, 255)]
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]), offset=(1, 1), spacing=(2, 2))
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print(g)
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