optimesh | : spider_web : Mesh optimization , mesh smoothing | Service Mesh library

by nschloe Python Version: v0.8.7 License: GPL-3.0

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | optimesh Summary

optimesh is a Python library typically used in Architecture, Service Mesh applications. optimesh has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However optimesh build file is not available. You can install using 'pip install optimesh' or download it from GitHub, PyPI.

You can also use optimesh in a Python program. Try. If you only want to do one optimization step, do.

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Quality

Security

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Support

optimesh has a low active ecosystem.

It has 383 star(s) with 35 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 28 have been closed. On average issues are closed in 48 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of optimesh is v0.8.7

Quality

optimesh has 0 bugs and 0 code smells.

Security

optimesh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

optimesh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

optimesh is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

optimesh releases are available to install and integrate.

Deployable package is available in PyPI.

optimesh has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

optimesh saves you 715 person hours of effort in developing the same functionality from scratch.

It has 1519 lines of code, 83 functions and 35 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed optimesh and discovered the below as its top functions. This is intended to give you an instant insight into optimesh implemented functionality, and help decide if they suit your requirements.

Optimizes a mesh .
Perform nonlinear optimization on a mesh .
Update the Hessian matrix .
Solve the Hessian of the Hessian .
Get new points from a mesh .
Construct a poisson condition .
Generate a random circle .
Main entry point .
Calculate the energy of a mesh .
Calculate new points averaged over the reference points .

Get all kandi verified functions for this library.

optimesh Key Features

No Key Features are available at this moment for optimesh.

optimesh Examples and Code Snippets

Generating a 2d mesh file from points

Python

Lines of Code : 11

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import numpy as np
from scipy.spatial import Delaunay, delaunay_plot_2d
import optimesh

points = np.random.random((100, 2))
delaun = Delaunay(points)

points, cells = optimesh.cvt.quasi_newton_uniform_blocks(
    delaun.points, delaun.sim

Delaunay triangulation using MeshPy

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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pip install optimesh --user

optimesh in.vtk out.e

Community Discussions

Trending Discussions on optimesh

Generating a 2d mesh file from points

QUESTION

Generating a 2d mesh file from points

Asked 2020-Mar-24 at 11:39

I have to generate a 2d mesh in a format compatible with optimesh, in order to refine it with the algorithms included in that library, (in particular Centroidal Voronoi tesselation smoothing). I'm starting from a set of unordered points, so I'm trying to understand which is the easiest chain of tools to do the job.I have no familiarity at all with geometry processing, so forgive me if my questions are stupid.

I found a lot of libraries to process a mesh from a file in a huge variety of format, but I'm missing how to generate it from points. I've seen that with scipy I can get a triangulation, but the object returning from scipy, can't be fed directly to optimesh.

So, my problem now is basically something like this:

...

ANSWER

Answered 2020-Mar-24 at 11:39

optimesh author here. Your delaun object has delaun.points and delaun.simplices. Those can be fed into optimesh:

Source https://stackoverflow.com/questions/60820455

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install optimesh

optimesh is available from the Python Package Index, so simply do.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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