# meshcut **Repository Path**: mirrors_lepy/meshcut ## Basic Information - **Project Name**: meshcut - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-06-16 - **Last Updated**: 2023-08-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ======================================================== 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