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Fix documentation, handle internal variable more efficiently.
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@@ -71,7 +71,7 @@ def relabel_sequential(label_field, offset=1):
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-------
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relabeled : numpy array of int, same shape as `label_field`
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The input label field with labels mapped to
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{offset, ..., number_of_labels}.
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{offset, ..., number_of_labels + offset - 1}.
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forward_map : numpy array of int, shape ``(label_field.max() + 1,)``
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The map from the original label space to the returned label
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space. Can be used to re-apply the same mapping. See examples
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@@ -113,13 +113,12 @@ def relabel_sequential(label_field, offset=1):
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>>> relab, fw, inv = relabel_sequential(label_field, offset=5)
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>>> relab
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array([5, 5, 6, 6, 7, 9, 8])
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"""
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m = label_field.max()
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if not np.issubdtype(label_field.dtype, np.int):
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new_type = np.min_scalar_type(int(m))
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label_field = label_field.astype(new_type)
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m = label_field.max() # Ensures m is an integer
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m = np.round(m).astype(new_type) # Ensures m is an integer
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labels = np.unique(label_field)
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labels0 = labels[labels != 0]
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if m == len(labels0): # nothing to do, already 1...n labels
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