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
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