pymesh | Currently , this library supports STL | Image Editing library

by taxpon Python Version: 1.0.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | pymesh Summary

pymesh is a Python library typically used in Media, Image Editing, Numpy applications. pymesh has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install pymesh' or download it from GitHub, PyPI.

Library for manipulating (Translate, Rotate and Scale) 3D data using numpy. Currently, this library supports STL & OBJ.

Support

Quality

Security

License

Reuse

Support

pymesh has a highly active ecosystem.

It has 34 star(s) with 10 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 896 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pymesh is 1.0.2

Quality

pymesh has 0 bugs and 0 code smells.

Security

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

pymesh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pymesh is licensed under the MIT License. This license is Permissive.

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

Reuse

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

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

pymesh saves you 189 person hours of effort in developing the same functionality from scratch.

It has 465 lines of code, 34 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Saves the mesh
Join two meshes
Update the normals
Saves the STL file
Join two meshes together
Scale the mesh
Rotate the mesh
Translate x - axis coordinates
Calculates the total volume
Calculates the signed volume

Get all kandi verified functions for this library.

pymesh Key Features

No Key Features are available at this moment for pymesh.

pymesh Examples and Code Snippets

No Code Snippets are available at this moment for pymesh.

Community Discussions

Trending Discussions on pymesh

Flask api hosted as a docker container works with localhost:5000 but not with 172.17.0.2:5000

Meshlab Laplacian Smooth introduces spikes

Sklearn and Pymesh import causes conflicts

Python Implementation for creating a triangular mesh from an array of closed loop planar contours

QUESTION

Flask api hosted as a docker container works with localhost:5000 but not with 172.17.0.2:5000

Asked 2021-Oct-20 at 10:39

I have created a flask api and hosted it as a docker image. The dockerfile of the image looks like this:

...

ANSWER

Answered 2021-Oct-20 at 10:39

The 'trick' with using the bridge network IP address doesn't work on Windows, due to how it runs Docker.

The recommended way is to map the port and use localhost.

Source https://stackoverflow.com/questions/69644254

QUESTION

Meshlab Laplacian Smooth introduces spikes

Asked 2021-Apr-06 at 17:31

I am using MeshLab to smooth a mesh obtained from a 3d numpy array through marching_cubes and pymesh. I am processing a few similar meshes and only one of them is giving me this problem. The filter used is Laplacian Smooth with parameters:

smoothing steps = 1
1D boundary smoothing = True
cotangent weighting = True

Attached are the images of the mesh before and after the Laplacian smoothing. Unfortunately the images have to be cropped in the interested areas due to privacy concerns.
Any help in tracking down the issue or any debugging suggestions would be really helpful.
Thank you!

mesh before laplacian smooth in first region

first spike

mesh before laplacian smooth in second region

second spike

...

ANSWER

Answered 2021-Apr-06 at 17:31

Can you provide a mesh sample? it could be a numerical issue due to degenerate zero area triangles that can happen as a result of MarchingCubes. The reason is that Laplacian smoothing tries to move vertices along the tangent planes of the surface that results undefined for zero area triangles. Eventually you could also try to remove those degenerate triangles by running a merge close vertices filter. This issues can came up also because desktop meshlab runs on float while its python counterpart pymeshlab runs on double. Eventually just try the mesh from numpy arrays directly using pymeshlab

Source https://stackoverflow.com/questions/66966490

QUESTION

Sklearn and Pymesh import causes conflicts

Asked 2021-Feb-03 at 11:53

I am working on processing 3D meshes using PyMesh. pip install pymesh2 has build error. Hence I installed from another release from the official github page. I am using pymesh2-0.3-cp36-cp36m-linux_x86_64.whl. I installed scikit-learn using pip install. Both installed successfully in my system. While importing them, I observed something strange. While importing Pymesh and Sklearn. Pymesh imported correctly. Sklearn is not While importing Sklearn and Pymesh. Sklearn imported correctly. Pymesh is not Seems like these two packages are conflicting each other! Can someone help me what is the issue and any possible resolution?

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ANSWER

Answered 2021-Feb-03 at 11:53

As suggested in the comments, I used conda instead of virtual env and pip installed the pymesh using the wheel file from the github. That worked well for me!

Source https://stackoverflow.com/questions/66023482

QUESTION

Python Implementation for creating a triangular mesh from an array of closed loop planar contours

Asked 2020-Dec-13 at 11:52

I'm a wee bit stuck.

I have a 3D point cloud (an array of (n,3) vertices), in which I am trying to generate a 3D triangular mesh from. So far I have had no luck.

The format my data comes in:

(x,y) values in regularly spaced (z) intervals. Think of the data as closed loop planar contours stored slice by slice in the z direction.
The vertices in my data must be absolute positions for the mesh triangles (i.e. I don't want them to be smoothed out such that the volume begins to change shape, but linear interpolation between the layers is fine).

Illustration:

...

ANSWER

Answered 2020-Sep-04 at 06:49

Actually there are two ways of having meshlab functionality in python:

The first is MeshLabXML (https://github.com/3DLIRIOUS/MeshLabXML ) a third party, is a Python scripting interface to meshlab scripting interface
the second is PyMeshLab (https://github.com/cnr-isti-vclab/PyMeshLab ) an ongoing effort done by the MeshLab authors, (currently in alpha stage) to have a direct Python bindings to all the meshlab filters

Source https://stackoverflow.com/questions/63734323

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

Vulnerabilities

No vulnerabilities reported

Install pymesh

You can install using 'pip install pymesh' or download it from GitHub, PyPI.
You can use pymesh 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.