meshcut - Python utilities to slice 3D triangular meshes

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],

Thanks

Thanks to @superzanti for the STL use case and the sphere model.

Authors

Julien Rebetez