Fork of PythonCDT by Leica Geosystems, maintained by Artem Amirkhanov.
Motivation for the fork
This fork distributes PythonCDT as ConDelTri through PyPI and conda-forge while the pull request in the parent repository remains unmerged.
ConDelTri: Constrained Delaunay Triangulation
Python bindings for CDT: C++ library for constrained Delaunay triangulation implemented with pybind11
Installation
pip install condeltri
Or:
conda install --channel=conda-forge condeltri
CDT versions
ConDelTri and CDT use separate version numbers. Each ConDelTri build fetches a fixed CDT commit through CMake.
| condeltri version | CDT version | CDT commit |
|---|---|---|
| 0.1.0 | 2.0.0 | c888b30 |
| 0.0.5–0.0.6 | 1.4.5 | 2068d01 |
| 0.0.3–0.0.4 | 1.4.4 | 5a1d702 |
| 0.0.2 | 1.4.1 + fixes | 4b41817 |
Usage examples
Constrained triangulation
import numpy as np
import condeltri as cdt
vertices = np.array([[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0], [0.4, 0.4]])
edges = np.array([[0, 1], [1, 2], [2, 3], [3, 0]], dtype=np.uintc)
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(vertices)
t.insert_edges(edges)
t.erase_outer_triangles_and_holes()
vv = t.vertices_array() # numpy array with fields 'x' and 'y'
tt = t.triangles_array() # numpy array with fields 'vertices' and 'neighbors'
tt["vertices"] # (T, 3) vertex indices into vv
Notes
vertices_array()andtriangles_array()return copies. Withcopy=Falsethey return read-only views of the triangulation's memory instead; a view is invalidated by any call that modifies the triangulation.
Vertex and edge input arrays must be C-contiguous with shape (N, 2) or (2N,).
Conforming triangulation
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(vertices)
t.conform_to_edges(edges)
t.erase_outer_triangles_and_holes()
Notes
conform_to_edges()splits the constraint edges as needed, instead of keeping them as they are.
Refined triangulation
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(vertices)
t.insert_edges(edges)
to_erase = t.collect_outer_triangles_and_holes()
unrefined = t.refine_triangles(1000, cdt.RefinementCriterion.SMALLEST_ANGLE, cdt.deg_to_rad(20.0), to_erase)
t.finalize_triangulation(to_erase)
Notes
refine_triangles()improves the shape of the triangles by inserting new points (Steiner points). It must be called before the triangulation is finalized: collect the triangles to remove first so that they are not refined, then remove them withfinalize_triangulation()(the set is updated in place).- Some places can not be refined: e.g., a sharp angle between two constraint edges comes from the input and can not be
made any larger.
refine_triangles()returns the counts of such refinements;find_unrefined_triangles()andfind_encroached_fixed_edges()locate them in the resulting triangulation.
Threads
Triangulation work releases Python's GIL, so separate triangulations can run in parallel on Python threads. Calls on one triangulation wait for each other. Iterators (*_iter()) and copy=False views are not protected while another thread changes the triangulation.
License
Mozilla Public License, v. 2.0
Contributors
- SioulisChris: fixing the tests on Windows
- sccolbert: reading the triangulation back as numpy arrays, releasing the GIL
1 maintainer
Metadata
1 maintainer
Release files for condeltri 0.1.0
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