wildmeshing/wildmeshing-python

Python bindings for TriWild.

wildmeshing-python's Issues

Control Tetrahedral Element Size

Hello,

Does wildmeshing support the ability to constrain the size of the tetrahedral elements generated? In tetgen, for example, you can do this via the "a" flag. I see the notion of sizing_fields in the C++ code, but I am unsure how those may apply here as they are, unfortunately, not documented in the python code.

My main motivation for this is to limit the volume of geometry generated to allow my simulation to run faster when I am debugging, etc.

I would greatly appreciate any guidance.

Missing module

After running the recommended install command I receive the following error:

In [1]: import wildmeshing as wm                                                          
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-8703ac452926> in <module>
----> 1 import wildmeshing as wm

~/.local/lib/python3.9/site-packages/wildmeshing/__init__.py in <module>
      4 from .wildmeshing import boolean_operation
      5 from .wildmeshing import Tetrahedralizer
----> 6 from .triangulate_svg import triangulate_svg

~/.local/lib/python3.9/site-packages/wildmeshing/triangulate_svg.py in <module>
      1 import json
      2 import math
----> 3 import wildmeshing.parse_svg.svgpathtools as svg
      4 import numpy as np
      5 

ModuleNotFoundError: No module named 'wildmeshing.parse_svg'

Tetrahedralizer segfaults on certain meshes

Here is an example mesh that causes a hard crash:

testobj.obj.zip

import wildmeshing as wm
tet = wm.Tetrahedralizer()
tet.load_mesh('testobj.obj')
tm = tet.get_tet_mesh()

The mesh is geometrically watertight, as demonstrated by using the summed projected areas:

import igl
import numpy as np

V, _, _, F, _, _ = igl.read_obj('testobj.obj')
areas = igl.doublearea(V, F)
N = igl.per_face_normals(V, F, np.array([np.inf, np.inf, np.inf], dtype=np.float64))
max([abs((areas * N[:,i]).sum()) for i in range(3)])

Gives 2.168404344971009e-19, which I assume is close enough to 0.

What preprocessing, if any, can I do to ensure that the input mesh does not cause a crash?

boolean operation between tetrahedral meshes?

Hello,
I have two tetrahedral meshes: a complex object and a box. I would like to remove half of the complex object by subtracting the box. Is it possible to do that? In the example notebook it seems that only triangular meshes can be used as input...
Thank you!

New release to trigger build for conda

Hi,
currently, the main branch of the repo is newer than the conda version since there is no release with the latest changes. Could you please publish a new release? Thank you!
Marius

How to install wildmeshing by conda on M1 mac

I tried to use the conda install wildmeshing on my M1 Mac(conda install wildmeshing), but could not succeed.
The error as following text:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

• wildmeshing

Current channels:

• https://conda.anaconda.org/conda-forge/osx-arm64
• https://conda.anaconda.org/conda-forge/noarch
• https://repo.anaconda.com/pkgs/main/osx-arm64
• https://repo.anaconda.com/pkgs/main/noarch
• https://repo.anaconda.com/pkgs/r/osx-arm64
• https://repo.anaconda.com/pkgs/r/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

sizing field support in python wrappers?

I can not quite find the background mesh functionality in the python version?

Is this functionality planned to be added?

support python 3.10 by conda

I would appreciate it if you could provide wildmeshing installer in the python 3.10 environment.