mesh.Mesh.remesh#

Mesh.remesh(n_points=-1, subdivisions=3)#

Remesh a triangle Mesh.

Parameters#

npoints: int, optional: The approximat number of vertices in the output mesh. If negative (default), it is set to the number of vertices in the input Mesh.
subdivisions: int, optional: The number of subdivisions to be created in order to have a finer mesh for the clustering method. A higher number results in a more regular mesh, at the expense of a longer computation time.

Important

This operation may result in a non-manifold surface mesh. It is always recommended to visually inspect the result, and check the resulting mesh using check_triangle_mesh(). If needed, you can attempt to repair the mesh with fix_triangle_mesh().

Returns#

Mesh: Returns a resampled triangle Mesh.

Examples#

>>> cube = Mesh(eltype='hex8').border_mesh().convert('tri3')
>>> cube_remeshed = cube.remesh(n_points=100, subdivisions=10)
>>> print(cube_remeshed.n_points())
100

>>> sphere = shapes.sphere()
>>> print(sphere.n_points())
614
>>> sphere_remeshed = sphere.remesh(subdivisions=5)
>>> print(sphere_remeshed.n_points())
614