Meshiki

A collection of unusual mesh processing algorithms.

Install

# from pypi, will build extension at first time
pip install meshiki

# locally
cd meshiki
pip install .

Usage

Trigs-to-Quads

          Triangulate       We want this!
    Quads ----------> Trigs ------------> Quads
(obj, blender)   (glb, fbx, ...)

This algorithm is aimed for converting a triangulated quad-dominant mesh back to a mixed tri/quad mesh, with as many as possible reasonable quad faces. Our implementation is based on maximum weighted graph matching, and is usually better compared to the built-in tool (Edit Mode -> Face -> Tris to Quads) of blender.

from meshiki import Mesh

mesh = Mesh.load('mesh.glb', verbose=False)
mesh.quadrangulate()
mesh.export('mesh.obj') # must use obj for quad faces

Salient point sampling

This algorithm samples salient points from mesh surface as proposed in Dora.

from meshiki import Mesh, fps, load_mesh, triangulate

# load mesh
vertices, faces = load_mesh(mesh_path, clean=True)
# make sure it's pure-trig
faces = triangulate(faces)
mesh = Mesh(vertices, faces)
# sample 64K salient points
salient_points = mesh.salient_point_sample(64000, thresh_bihedral=30) # np.ndarray, [64000, 3]

We also implement uniform sampling and furthest point sampling:

# sample 128K uniform points
uniform_points = mesh.uniform_point_sample(128000) # np.ndarray, [128000, 3]
# use FPS to subsample 8K points from uniform points
fps_points = fps(uniform_points, N_FPS, backend='kdline') # np.ndarray, [8000, 3]

Acknowledgement

QuickFPS and fpsample for fast furthest point sampling.
PCG32.
nanoflann.

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- Sigstore integration time: Jun 17, 2025
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- Permalink: ashawkey/meshiki@a318af1ea79c0fee613ec6635b912ba8bc79924f
- Branch / Tag: refs/heads/main
- Owner: https://github.com/ashawkey
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: pypi-publish.yml@a318af1ea79c0fee613ec6635b912ba8bc79924f
- Trigger Event: workflow_dispatch

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0.0.7 This release

Jun 17, 2025 10 files

Jun 17, 2025 7 files

Apr 9, 2025 1 file

Feb 12, 2025 1 file

Feb 12, 2025 1 file

Feb 12, 2025 1 file

meshiki 0.0.7

Meshiki

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