meshpy | A 3-D triangular mesh package for Python | Service Mesh library

by BerkeleyAutomation Python Version: Current License: Apache-2.0

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

kandi X-RAY | meshpy Summary

meshpy is a Python library typically used in Architecture, Service Mesh applications. meshpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is a 3D mesh processing library, courtesty of the Berkeley AutoLab and Jeff Mahler. To run unit tests, from the top level directory simply run.

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License

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Support

meshpy has a low active ecosystem.

It has 29 star(s) with 15 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 4 have been closed. On average issues are closed in 40 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of meshpy is current.

Quality

meshpy has 0 bugs and 0 code smells.

Security

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

meshpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

meshpy is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

meshpy releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

meshpy saves you 1364 person hours of effort in developing the same functionality from scratch.

It has 3055 lines of code, 211 functions and 25 files.

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

Top functions reviewed by kandi - BETA

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

R Compute the rest of the rest of a pose
Compute the surface mesh
Compute the polynomial basis
Find the closest segment between two triangles
Sample the view of the view
Compute camera intrinsics
Compute vertex normals
Return the area of a triangle
Compute surface normal vector
Check if coordinates are out of bounds
The surface area of the mesh
Read data from file
Set the vertices
The inertia tensor
The mass of the molecule
The center of the world object
Finds the intersection of a ray
Compute stable pose
Read the wavefront
Convert a binary image to mesh faces
Subdivide the mesh into smaller triangles
Calculate the curvature of the given coordinates
Sample from camera
Calculate surface points
Scale principal eigenvalues
Return n random n points

Get all kandi verified functions for this library.

meshpy Key Features

No Key Features are available at this moment for meshpy.

meshpy Examples and Code Snippets

No Code Snippets are available at this moment for meshpy.

Community Discussions

Trending Discussions on meshpy

No module named 'meshpy._triangle'

QUESTION

No module named 'meshpy._triangle'

Asked 2018-Aug-13 at 19:39

I installed meshpy (using python 2.7) following the instructions here on my ubuntu 16.04 LTS and trying to run examples from here after browsing into the directory of meshpy. Part of the example that I'm trying to run is below:

...

ANSWER

Answered 2018-Aug-13 at 09:37

Likely you have created file named meshpy within your python package, which leads to the module shadowing, renaming your file shall fix the problem.

See more by next links:

Source https://stackoverflow.com/questions/51819259

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

Vulnerabilities

No vulnerabilities reported

Install meshpy

You can download it from GitHub.
You can use meshpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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