pyacvd

.. image:: https://img.shields.io/pypi/v/pyacvd.svg :target: https://pypi.org/project/pyacvd/

This module takes a surface mesh and returns a uniformly meshed surface using voronoi clustering. This approach is loosely based on research by S. Valette, and J. M. Chassery in ACVD <https://github.com/valette/ACVD>_.

Installation

Installation is straightforward using pip::

$ pip install pyacvd

Example

This example remeshes a non-uniform quad mesh into a uniform triangular mesh.

.. code:: python

from pyvista import examples
import pyacvd

# download cow mesh
cow = examples.download_cow()

# plot original mesh
cow.plot(show_edges=True, color='w')

.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow.png :alt: original cow mesh

.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow_zoom.png :alt: zoomed cow mesh

.. code:: python

clus = pyacvd.Clustering(cow)
# mesh is not dense enough for uniform remeshing
clus.subdivide(3)
clus.cluster(20000)

# plot clustered cow mesh
clus.plot()

.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow_clus.png :alt: zoomed cow mesh

.. code:: python

# remesh
remesh = clus.create_mesh()

# plot uniformly remeshed cow
remesh.plot(color='w', show_edges=True)

.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow_remesh.png :alt: zoomed cow mesh