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a versatile halfedge-based data structure for representing and manipulating polygon meshes

Project description

OpenMesh Python Bindings

OpenMesh is a versatile halfedge-based data structure for representing and manipulating polygon meshes. The OpenMesh Python bindings are are tightly integrated with numpy and are implemented using pybind11.

Example

import openmesh as om
import numpy as np

mesh = om.TriMesh()

# add a a couple of vertices to the mesh
vh0 = mesh.add_vertex([0, 1, 0])
vh1 = mesh.add_vertex([1, 0, 0])
vh2 = mesh.add_vertex([2, 1, 0])
vh3 = mesh.add_vertex([0,-1, 0])
vh4 = mesh.add_vertex([2,-1, 0])

# add a couple of faces to the mesh
fh0 = mesh.add_face(vh0, vh1, vh2)
fh1 = mesh.add_face(vh1, vh3, vh4)
fh2 = mesh.add_face(vh0, vh3, vh1)

# add another face to the mesh, this time using a list
vh_list = [vh2, vh1, vh4]
fh3 = mesh.add_face(vh_list)

#  0 ==== 2
#  |\  0 /|
#  | \  / |
#  |2  1 3|
#  | /  \ |
#  |/  1 \|
#  3 ==== 4

# get the point with vertex handle vh0
point = mesh.point(vh0)

# get all points of the mesh
point_array = mesh.points()

# translate the mesh along the x-axis
point_array += np.array([1, 0, 0])

# write and read meshes
om.write_mesh('test.off', mesh)
mesh_2 = om.read_trimesh('test.off')

For further examples see the documentation or refer to the unit tests.

Installation

Using pip

pip install openmesh

Using conda

Thanks to Martin Drawitsch you can also install openmesh-python via conda:

conda install -c conda-forge openmesh-python

Building from source

  1. recursively clone the repo
  2. cd to repo dir
  3. ensure the correct virtualenv is activated
  4. pip install -e .

Project details


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Files for openmesh, version 1.1.4.post18
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