regular_seeds(ar_shape, n_points, dtype=<class 'int'>)

Parameters

ar_shape : tuple of int

The shape of the desired output image.

n_points : int

The desired number of nonzero points.

dtype : numpy data type, optional

The desired data type of the output.

Returns

seed_img : array of int or bool

The desired image.

Return an image with ~`n_points` regularly-spaced nonzero pixels.

Examples

This example is valid syntax, but we were not able to check execution

>>> regular_seeds((5, 5), 4)
array([[0, 0, 0, 0, 0],
       [0, 1, 0, 2, 0],
       [0, 0, 0, 0, 0],
       [0, 3, 0, 4, 0],
       [0, 0, 0, 0, 0]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.util._regular_grid.regular_seeds skimage._shared.utils.check_random_state

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File: /skimage/util/_regular_grid.py#86
type: <class 'function'>
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