Deep learning for NeuroImaging in Python.
Note
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- surfify.utils.sampling.min_depth_to_get_n_neighbors(n_neighs)[source]ΒΆ
Get the minimal depth of neighborhood to get a desired number of neighbors.
- Parameters:
n_vertices : int
the number of vertices of an icosahedron.
- Returns:
order : int
the order of the icosahedron.
See also
Examples
>>> from surfify.utils import min_depth_to_get_n_neighbors, icosahedron >>> ico3_verts, ico3_tris = icosahedron(order=3) >>> depth = min_depth_to_get_n_neighbors(len(ico3_verts) / 2) >>> print(depth)
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