Deep learning for NeuroImaging in Python.

Note

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surfify.utils.sampling.icosahedron(order=3, standard_ico=False)[source]¶

Define an icosahedron mesh of any order.

Parameters:

order : int, default 3

the icosahedron order.

standard_ico : bool, default False

optionally uses a standard icosahedron tessalation.

Returns:

vertices : array (N, 3)

the icosahedron vertices.

triangles : array (M, 3)

the icosahedron triangles.

Examples

>>> from surfify.utils import icosahedron
>>> import matplotlib.pyplot as plt
>>> from surfify.plotting import plot_trisurf
>>> ico3_verts, ico3_tris = icosahedron(order=3)
>>> print(ico3_verts.shape, ico3_tris.shape)
>>> fig, ax = plt.subplots(1, 1, subplot_kw={
        "projection": "3d", "aspect": "auto"}, figsize=(10, 10))
>>> plot_trisurf(ico3_verts, triangles=ico3_tris, colorbar=False, fig=fig,
                 ax=ax)
>>> plt.show()