colour.is_within_mesh_volume¶
- colour.is_within_mesh_volume(points: ArrayLike, mesh: ArrayLike, tolerance: Optional[Floating] = None) NDArray [source]¶
Return whether given points are within given mesh volume using Delaunay triangulation.
- Parameters
points (ArrayLike) – Points to check if they are within
mesh
volume.mesh (ArrayLike) – Points of the volume used to generate the Delaunay triangulation.
tolerance (Optional[Floating]) – Tolerance allowed in the inside-triangle check.
- Returns
Whether given points are within given mesh volume.
- Return type
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)