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.

Installation

Installation is straightforward using pip:

$ pip install pyacvd

Examples

PyVista accessor (recommended, pyvista >= 0.48)

Installing pyacvd registers an acvd namespace on every pyvista.PolyData, so uniform remeshing slots straight into a PyVista pipeline. Once pyacvd is imported (or auto-discovered via PyVista's entry-point system) you can call mesh.acvd.<method>(...) directly:

import pyacvd  # registers ``mesh.acvd``
from pyvista import examples

cow = examples.download_cow().triangulate()

# one-shot uniform remesh: subdivide → cluster → rebuild
remesh = cow.acvd.remesh(20000, subdivide=3)
remesh.plot(color='w', show_edges=True)

The accessor never mutates the source mesh and always returns a fresh pv.PolyData. Available methods:

• mesh.acvd.remesh(n_clusters, subdivide=0, fast=False, ...) — one-shot uniform remesh.
• mesh.acvd.clustering(weights=None, subdivide=0) — return a configured pyacvd.Clustering for fine-grained control (plotting clusters, mixing fast/uniform clustering, etc.).
• mesh.acvd.cluster_ids(n_clusters, ...) — per-point cluster id array, useful for visualization.
• mesh.acvd.subdivide(n) — linearly subdivide the surface.

Classic Clustering API

This example remeshes a non-uniform quad mesh into a uniform triangular mesh. The classic API works on every supported PyVista version; the accessor above is a thin convenience layer on top.

from pyvista import examples
import pyacvd

# download cow mesh
cow = examples.download_cow()

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

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

# plot clustered cow mesh
clus.plot()

# remesh
remesh = clus.create_mesh()

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