colour.volume.mesh Module¶
Mesh Volume Computations Helpers¶
Defines helpers objects related to volume computations.
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colour.volume.mesh.
is_within_mesh_volume
(points, mesh, tolerance=None)[source]¶ 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: Notes
- This definition requires scipy to be installed.
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)