pywayne-cv-geometric-hull-calculator

Compute convex hulls, concave hulls, and minimum bounding rectangles for 2D point sets.

8|Updated Feb 2, 2026

Search Tags:#geometry #hull #convex-hull #concave-hull #alphashape #minimum-bounding-rectangle #2d-points

Ready to run

npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-cv-geometric-hull-calculator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pywayne-cv-geometric-hull-calculator
Source: https://github.com/wangyendt/wayne-skills/tree/main/pywayne/cv/geometric-hull-calculator
Command: npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-cv-geometric-hull-calculator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Geometric hull calculator for 2D point sets, providing convex hull, concave hull, alphashape-based concave hull, and minimum bounding rectangle to support analysis, visualization, and feature extraction.

Core Features & Use Cases

Compute convex hulls for 2D point clouds to obtain outer boundaries
Compute concave hulls using concave_hull and alphashape approaches for tighter boundaries
Compute minimum bounding rectangle for orientation-aware bounding boxes
Visualize hulls and MBR with OpenCV or matplotlib, and validate results on synthetic data
Suitable for computer vision, robotics, GIS, and data analytics workflows

Quick Start

Initialize GeometricHullCalculator with your 2D points and request convex hull, concave hull, and MBR results.

Frequently Asked Questions about pywayne-cv-geometric-hull-calculator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I compute a convex hull and minimum bounding rectangle for 2D points in Python?▼

To compute a convex hull and minimum bounding rectangle for 2D points, initialize a geometric hull calculator with your coordinates to extract outer boundaries and orientation-aware bounding boxes. It outputs hull vertices and bounding box coordinates directly.

What is the difference between convex hull and alphashape concave hull for point clouds?▼

A convex hull computes the outermost boundary enclosing all 2D points, while an alphashape concave hull tightens that boundary to better fit the point distribution. Concave hulls are useful for complex shapes where convex boundaries include excessive empty space.

Do I need OpenCV and shapely to calculate 2D geometric hulls?▼

Yes, calculating geometric hulls and minimum bounding rectangles requires numpy, OpenCV (cv2), shapely, scipy, and alphashape libraries. These dependencies handle spatial operations, geometric computations, and visualization for 2D point distributions and noisy data.

Can I visualize hulls and minimum bounding rectangles using matplotlib or OpenCV?▼

Yes, you can visualize computed hulls and minimum bounding rectangles using OpenCV or matplotlib. The geometric hull calculator supports rendering convex hulls, concave hulls, and MBRs to validate results on synthetic data or integrate into computer vision workflows.

Does concave hull calculation work with noisy 2D point distributions?▼

Yes, concave hull calculation using alphashape approaches works with noisy 2D point distributions. The geometric hull calculator is designed to handle varying point distributions and noisy data across computational geometry, robotics, and spatial analytics tasks.

When should I use a minimum bounding rectangle instead of a convex hull?▼

You should use a minimum bounding rectangle instead of a convex hull when you need an orientation-aware bounding box rather than just the outer boundary. MBRs provide the smallest rotated rectangle enclosing the points, useful for feature extraction and robotics.