========================================================
meshcut - Python utilities to slice 3D triangular meshes
========================================================
.. image:: https://github.com/julienr/meshcut/actions/workflows/checks.yml/badge.svg?branch=master
:target: https://github.com/julienr/meshcut/actions
A python library to compute the planar cross-section of a 3D mesh.
Given a 3D mesh and a cut plane, this computes a (set of) polyline(s) that
results from cutting the mesh with the plane.
Requires python and numpy. Mayavi is used for visualisation in the examples.
Usage
=====
Run the examples with ::
python3 examples/0_cross_section.py
Given ::
In [17]: verts
Out[17]:
array([[ 1.6315 , -0.1505 , 0. ],
[ 1.6376 , -0.1516 , 0. ],
[ 1.6493 , -0.1518 , 0. ],
...,
[ 1.62088 , -0.0263264, -0.0716966],
[ 1.63381 , -0.0500889, 0.0726852],
[ 1.63381 , -0.0500889, -0.0726852]])
In [20]: faces
Out[20]:
array([[1530, 1337, 1338],
[4549, 4725, 4548],
[2940, 2950, 3787],
...,
[3107, 3438, 3439],
[2263, 2281, 2262],
[3116, 3119, 4171]])
In [21]: meshcut.cross_section(verts, faces, plane_orig=(1.2, -0.125, 0),
....: plane_normal=(1, 0, 0))
Out[21]:
[array([[ 1.20000000e+00, -1.28957692e-01, -1.02180769e-01],
[ 1.20000000e+00, -1.37182869e-01, -8.06541833e-02],
[ 1.20000000e+00, -1.36863816e-01, -6.95125000e-02],
.. image:: screenshot.png
:width: 50%
Thanks
======
Thanks to @superzanti for the STL use case and the sphere model.
Authors
=======
Julien Rebetez
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"description": "========================================================\nmeshcut - Python utilities to slice 3D triangular meshes\n========================================================\n\n.. image:: https://github.com/julienr/meshcut/actions/workflows/checks.yml/badge.svg?branch=master\n :target: https://github.com/julienr/meshcut/actions\n\nA python library to compute the planar cross-section of a 3D mesh.\n\nGiven a 3D mesh and a cut plane, this computes a (set of) polyline(s) that\nresults from cutting the mesh with the plane.\n\nRequires python and numpy. Mayavi is used for visualisation in the examples.\n\nUsage\n=====\nRun the examples with ::\n\n python3 examples/0_cross_section.py\n\nGiven ::\n\n In [17]: verts\n Out[17]:\n array([[ 1.6315 , -0.1505 , 0. ],\n [ 1.6376 , -0.1516 , 0. ],\n [ 1.6493 , -0.1518 , 0. ],\n ...,\n [ 1.62088 , -0.0263264, -0.0716966],\n [ 1.63381 , -0.0500889, 0.0726852],\n [ 1.63381 , -0.0500889, -0.0726852]])\n\n In [20]: faces\n Out[20]:\n array([[1530, 1337, 1338],\n [4549, 4725, 4548],\n [2940, 2950, 3787],\n ...,\n [3107, 3438, 3439],\n [2263, 2281, 2262],\n [3116, 3119, 4171]])\n\n In [21]: meshcut.cross_section(verts, faces, plane_orig=(1.2, -0.125, 0),\n ....: plane_normal=(1, 0, 0))\n Out[21]:\n [array([[ 1.20000000e+00, -1.28957692e-01, -1.02180769e-01],\n [ 1.20000000e+00, -1.37182869e-01, -8.06541833e-02],\n [ 1.20000000e+00, -1.36863816e-01, -6.95125000e-02],\n\n\n.. image:: screenshot.png\n :width: 50%\n\n\nThanks\n======\nThanks to @superzanti for the STL use case and the sphere model.\n\nAuthors\n=======\nJulien Rebetez\n\n\n",
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