Various shape regularization algorithms

In plain words

This Python library provides shape regularization algorithms for cleaning up geometric data from computer vision and photogrammetry applications. It solves the common problem of real-world geometry being messy by offering multiple methods to smooth and regularize shapes, implemented as optimization problems that balance geometric fidelity against desired constraints. The library serves developers and researchers working with computational geometry who need a pure Python alternative to existing solutions for making noisy geometric data cleaner and more regular.

written from the facts on this page · September 2026

From the sources

Various shape regularization algorithms. Contribute to nickponline/shreg development by creating an account on GitHub.

In the maker’s words, at launch

I deal with a lot of geometry stuff at work with computer vision and photogrammetry, which usually comes from the real world. It's seldom clean and neat, and I'm often trying to find a way to "make it nice" or "make it pretty". I've always struggled with what that really means formally. That led me to shape…

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