topoGenesis is an open-source python package providing topological data structures and functions for working with voxel data in Generative Systems and Sciences. The envisaged application areas are:
- generative design in architecture and built environment
- generative spatial simulations
- 3D image processing
- topological data analysis
- machine learning
topoGenesis aims to utilize the vast functionalities of fields (mathematical objects) in generative systems and sciences. Therefore it seeks to:
- offer basic mathematical functionalities on field data models
- offer functionalities of computational topology on top of the field structures
- facilitate the conversion between mesh-based data models and field data models.
- facilitate field simulations, whether governed by differential equations, spectral models or based on computational models (ABM)
- construct a bridge between spatial data models and tensor data structures to facilitate the utilization of the latest artificial intelligence models
- Mesh to Field: Rasterization
- Point Cloud Voxelation
- Line Network Voxelation
- Mesh Surface Voxelation
- Signed Distance Field
- Field to Mesh: Isosurface
- Boolean Marching Cubes
- Marching Cubes
- Surface Nets
- Local Computation
- Stencil / Kernels
- von Neumann neighbourhood
- Moore neighbourhood
- Cube neighbourhood
- Custom neighbourhoods
- Universal Functions & Mathematical Operators (Numerical)
- Stencil / Kernels
- Field Simulations (Vectorized)
- Dynamic Systems (based on Differential Equations)
- Agent-Based Modeling
- Cellular Automata
for installation check this tutorial
This project is currently being developed by Shervin Azadi and Pirouz Nourian at Genesis Lab
Check out our latest publication on Voxel Graph Operators: Pirouz Nourian, Shervin Azadi, Voxel graph operators: Topological voxelization, graph generation, and derivation of discrete differential operators from voxel complexes, Advances in Engineering Software, Volume 196, 2024, 103722, ISSN 0965-9978, https://doi.org/10.1016/j.advengsoft.2024.103722