colour.is_within_mesh_volume

colour.is_within_mesh_volume(points, mesh, tolerance=None)

Returns if given points are within given mesh volume using Delaunay triangulation.

Parameters

• points (array_like) – Points to check if they are within mesh volume.

• mesh (array_like) – Points of the volume used to generate the Delaunay triangulation.

• tolerance (numeric, optional) – Tolerance allowed in the inside-triangle check.

Returns

Is within mesh volume.

Return type

bool

Examples

>>> mesh = np.array(
...     [[-1.0, -1.0, 1.0],
...       [1.0, -1.0, 1.0],
...       [1.0, -1.0, -1.0],
...       [-1.0, -1.0, -1.0],
...       [0.0, 1.0, 0.0]]
... )
>>> is_within_mesh_volume(np.array([0.0005, 0.0031, 0.0010]), mesh)
array(True, dtype=bool)
>>> a = np.array([[0.0005, 0.0031, 0.0010],
...               [0.3205, 0.4131, 0.5100]])
>>> is_within_mesh_volume(a, mesh)
array([ True, False], dtype=bool)