pyPolyMesher: Polygonal mesh generator

Last updated on Dec 11, 2023
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Polygonal mesh on Cook’s membrane

Introduction

PyPolyMesher is a powerful Python library designed for polygon mesh generation, drawing inspiration from the renowned MATLAB PolyMesher program. Leveraging the flexibility and efficiency of Python, this library empowers users to effortlessly create polygonal meshes using signed distance functions of different domains.

Features

  • Seamlessly generate structured quadrilateral elements from specified points.
  • Effortlessly create unstructured polygon elements using randomly generated points.
  • Comprehensive SDF support for all example domains featured in the original program.
  • Easily generate the SDF for new domains with user-friendly functionality.
  • Import polygon-shaped domains directly from dxf files.

Explore the example file for detailed insights into features and usage.

License

Distributed under the GPLv3 License. Refer to LICENSE for mdetailed licensing information.

Contact

Project Link: https://github.com/Sad-Abd/pyPolymesher

Computational Geometry Python Open Source
Seyed Sadjad Abedi-Shahri
Seyed Sadjad Abedi-Shahri
PhD in Biomechanics | Adjunct Lecturer

My research interests include Numerical Methods in Biomechanics, Scientific Computation, and Computational Geometry.

Posts

Constructing Complex Shapes with Signed Distance Functions: The Heart Example
In this notebook, we’ll implement a signed distance function for a heart shape using Python and visualize it using matplotlib. Function Definitions The following functions are defined: line_sdf: Calculates the signed distance from a point to a line segment.
Seyed Sadjad Abedi-Shahri
Last updated on Apr 8, 2024 5 min read Mathematics, Computational Geometry
Project
Constructing Complex Shapes with Signed Distance Functions: The Heart Example
Exploring Boolean Operations in SDFs: Union, Difference, and Intersection
In our previous explorations of Signed Distance Functions (SDFs), we unveiled their power in representing and manipulating geometric shapes. We also delved into the intricacies of SDFs for lines and rectangles.
Seyed Sadjad Abedi-Shahri
Last updated on Mar 19, 2024 4 min read Mathematics, Computational Geometry
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Exploring Boolean Operations in SDFs: Union, Difference, and Intersection
Mathematics of 2D Shapes: Line and Rectangle SDFs Unveiled
In our previous exploration of Signed Distance Functions (SDFs), we demystified their role in representing and manipulating geometric shapes. Now, let’s delve deeper into the mathematical intricacies of SDFs, focusing specifically on lines and rectangles in 2D geometry.
Seyed Sadjad Abedi-Shahri
Last updated on Mar 19, 2024 3 min read Mathematics, Computational Geometry
Project
Demystifying Signed Distance Functions
Demystifying Signed Distance Functions In the realm of mathematics and computer graphics, signed distance functions (SDFs) play a pivotal role in representing and manipulating geometric shapes. Unlike traditional polygonal meshes, which store vertices and connectivity information, SDFs define shapes implicitly, offering a powerful and flexible approach to 3D modeling and simulation.
Seyed Sadjad Abedi-Shahri
Last updated on Mar 19, 2024 4 min read Mathematics, Computational Geometry
Project
Demystifying Signed Distance Functions