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Jostein Bø Fløystad
36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
import numpy as np
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def unwrap(wrapped_array,
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wrap_around_axis_0 = False,
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wrap_around_axis_1 = False,
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wrap_around_axis_2 = False):
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wrapped_array = np.require(wrapped_array, np.float32, ['C'])
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if wrapped_array.ndim not in [2,3]:
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raise ValueError('input array needs to have 2 or 3 dimensions')
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wrapped_array_masked = np.ma.asarray(wrapped_array)
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unwrapped_array = np.empty_like(wrapped_array_masked.data)
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if wrapped_array.ndim == 2:
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import _unwrap_2d
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_unwrap_2d._unwrap2D(wrapped_array_masked.data,
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np.ma.getmaskarray(wrapped_array_masked).astype(np.uint8),
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unwrapped_array,
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bool(wrap_around_axis_0), bool(wrap_around_axis_1))
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elif wrapped_array.ndim == 3:
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import _unwrap_3d
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_unwrap_3d._unwrap3D(wrapped_array_masked.data,
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np.ma.getmaskarray(wrapped_array_masked).astype(np.uint8),
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unwrapped_array,
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bool(wrap_around_axis_0), bool(wrap_around_axis_1), bool(wrap_around_axis_2))
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if np.ma.isMaskedArray(wrapped_array):
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return np.ma.array(unwrapped_array, mask = wrapped_array_masked.mask)
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else:
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return unwrapped_array
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#TODO: set_fill to minimum value
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#TODO: check for empty mask, not a single contiguous pixel
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