shreg: Python Library for Shape Regularization Algorithms in Computational Geometry
By
nickponline
Master baker tier. Every paragraph earns its place on the tray.
Summary
shreg is a Python library implementing various shape regularization algorithms for computational geometry. It provides tools to clean up noisy geometric data by aligning line segments and closed contours to common orientations, adjusting positions to create cleaner, more regular shapes. The package includes features for segment regularization, contour regularization, and offers installation via pip, uv, or from source with quick start examples for working with line segments and contours.
Key quotes
· 4 pulledShape regularization is a technique used in computational geometry to clean up noisy or imprecise geometric data by aligning segments to common orientations and adjusting their positions to create cleaner, more regular shapes.
A Python implementation of various shape regularization algorithms for regularizing line segments and closed contours.
Regularize a set of line segments by aligning their angles and offsets:
Various shape regularization algorithms. Contribute to nickponline/shreg development by creating an account on GitHub.
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