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clustering. This approach is loosely based on research by\nS. Valette, and J. M. Chassery in `ACVD\n\u003chttps://github.com/valette/ACVD\u003e`_.\n\n**************\n Installation\n**************\n\nInstallation is straightforward using pip:\n\n.. code::\n\n   $ pip install pyacvd\n\n**********\n Examples\n**********\n\nPyVista accessor (recommended, ``pyvista \u003e= 0.48``)\n===================================================\n\nInstalling ``pyacvd`` registers an ``acvd`` namespace on every\n``pyvista.PolyData``, so uniform remeshing slots straight into a PyVista\npipeline. Once ``pyacvd`` is imported (or auto-discovered via PyVista's\nentry-point system) you can call ``mesh.acvd.\u003cmethod\u003e(...)`` directly:\n\n.. code:: python\n\n   import pyacvd  # registers ``mesh.acvd``\n   from pyvista import examples\n\n   cow = examples.download_cow().triangulate()\n\n   # one-shot uniform remesh: subdivide → cluster → rebuild\n   remesh = cow.acvd.remesh(20000, subdivide=3)\n   remesh.plot(color='w', show_edges=True)\n\nThe accessor never mutates the source mesh and always returns a fresh\n``pv.PolyData``. Available methods:\n\n-  ``mesh.acvd.remesh(n_clusters, subdivide=0, fast=False, ...)`` —\n   one-shot uniform remesh.\n\n-  ``mesh.acvd.clustering(weights=None, subdivide=0)`` — return a\n   configured ``pyacvd.Clustering`` for fine-grained control (plotting\n   clusters, mixing fast/uniform clustering, etc.).\n\n-  ``mesh.acvd.cluster_ids(n_clusters, ...)`` — per-point cluster id\n   array, useful for visualization.\n\n-  ``mesh.acvd.subdivide(n)`` — linearly subdivide the surface.\n\nClassic ``Clustering`` API\n==========================\n\nThis example remeshes a non-uniform quad mesh into a uniform triangular\nmesh. The classic API works on every supported PyVista version; the\naccessor above is a thin convenience layer on top.\n\n.. code:: python\n\n   from pyvista import examples\n   import pyacvd\n\n   # download cow mesh\n   cow = examples.download_cow()\n\n   # plot original mesh\n   cow.plot(show_edges=True, color='w')\n\n.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow.png\n   :alt: original cow mesh\n\n.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow_zoom.png\n   :alt: zoomed cow mesh\n\n.. code:: python\n\n   clus = pyacvd.Clustering(cow)\n   # mesh is not dense enough for uniform remeshing\n   clus.subdivide(3)\n   clus.cluster(20000)\n\n   # plot clustered cow mesh\n   clus.plot()\n\n.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow_clus.png\n   :alt: zoomed cow mesh\n\n.. code:: python\n\n   # remesh\n   remesh = clus.create_mesh()\n\n   # plot uniformly remeshed cow\n   remesh.plot(color='w', show_edges=True)\n\n.. image:: https://github.com/pyvista/pyacvd/raw/main/docs/images/cow_remesh.png\n   :alt: zoomed cow mesh\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpyvista%2Fpyacvd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpyvista%2Fpyacvd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpyvista%2Fpyacvd/lists"}