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
1 maintainer
Metadata
1 maintainer
Release files for meshiki 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| meshiki-0.0.7.tar.gz | 62.5 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| meshiki-0.0.7-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| meshiki-0.0.7-cp312-cp312-win32.whl | CPython 3.12 | CPython 3.12 | Windows x86-32 | Details |
| meshiki-0.0.7-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| meshiki-0.0.7-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
| meshiki-0.0.7-cp311-cp311-win32.whl | CPython 3.11 | CPython 3.11 | Windows x86-32 | Details |
| meshiki-0.0.7-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| meshiki-0.0.7-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
| meshiki-0.0.7-cp310-cp310-win32.whl | CPython 3.10 | CPython 3.10 | Windows x86-32 | Details |
| meshiki-0.0.7-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
Total release size: 1.9 MB
Release files / meshiki-0.0.7.tar.gz
| Download URL | meshiki-0.0.7.tar.gz |
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| Size | 62.5 kB |
| Tags | Source |
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