How do I install the Pywayne Cv Geometric Hull Calculator skill?

Run npx skillmds@latest add dvcrn/pywayne-cv-geometric-hull-calculator in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Pywayne Cv Geometric Hull Calculator safe to use?

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Which AI agents work with Pywayne Cv Geometric Hull Calculator?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Pywayne Cv Geometric Hull Calculator free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Pywayne Cv Geometric Hull Calculator?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pywayne Cv Geometric Hull Calculator by dvcrn

Name: Pywayne Cv Geometric Hull Calculator
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

Pywayne Cv Geometric Hull Calculator

Geometric hull calculator for 2D point sets supporting convex hull, concave hull (concave-hull, alphashape), and minimum bounding rectangle. Use when working with pywayne.cv.geometric_hull_calculator module to compute geometric hulls, visualize results with OpenCV or matplotlib, and generate random test point sets.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Pywayne Geometric Hull Calculator

This module computes geometric hulls (convex and concave) for 2D point sets.

Quick Start

from pywayne.cv.geometric_hull_calculator import GeometricHullCalculator
import numpy as np

# Create calculator with random points
points = GeometricHullCalculator.generate_random_points(num_points=50)
calculator = GeometricHullCalculator(points, algorithm='concave-hull')

# Get results
print(f"MBR: {calculator.get_mbr()}")
print(f"Convex Hull: {calculator.get_convex_hull()}")
print(f"Concave Hull: {calculator.get_concave_hull()}")

# Visualize with matplotlib
calculator.visualize_matplotlib()

Initialization

# algorithm options: 'concave-hull' or 'alphashape'
# use_filtered_pts: Enable point filtering based on radius
calculator = GeometricHullCalculator(
    points=your_points,
    algorithm='alphashape',
    use_filtered_pts=True
)

Supported Algorithms

Algorithm	Description
`concave-hull`	Concave hull using concave_hull library
`alphashape`	Concave hull using alphashape library

Hull Types

Type	Method	Description
Convex Hull	`get_convex_hull()`	Outer hull containing all points
Concave Hull	`get_concave_hull()`	Inner concave boundary

Properties

Property	Description
`points`	Input 2D points (N×2 numpy array)
`algorithm`	Algorithm used for concave hull
`use_filtered_pts`	Whether filtered points were used
`box`	Minimum Bounding Rectangle corners
`center`	Center point of input points
`filter_radius`	Radius used for point filtering
`concave_hull_result`	Concave hull points or polygons

Visualization

OpenCV Visualization

calculator.visualize_opencv()

Displays: All input points, MBR, center, filter circle (if enabled), concave hull (green), convex hull (red).

Matplotlib Visualization

calculator.visualize_matplotlib()

Displays: All input points (red), MBR (blue), center, filter radius circle (if enabled), concave hull (orange), convex hull (purple).

Requirements

numpy - Array operations
cv2 (OpenCV) - For OpenCV visualization and MBR computation
matplotlib - For matplotlib visualization
scipy - For convex hull computation
concave_hull - Concave hull algorithm
alphashape - Alphashape algorithm
shapely - Polygon operations for area calculation

Notes

Point filtering uses radius = 30% of shorter MBR edge length
MBR computed using OpenCV's minAreaRect
Convex hull uses scipy's ConvexHull
Supports both single Polygon and MultiPolygon from alphashape results

---name: pywayne-cv-geometric-hull-calculatordescription: Geometric hull calculator for 2D point sets supporting convex hull, concave hull (concave-hull, alphashape), and minimum bounding rectangle. Use when working with pywayne.cv.geometric_hull_calculator module to compute geometric hulls, visualize results with OpenCV or matplotlib, and generate random test point sets.---# Pywayne Geometric Hull CalculatorThis module computes geometric hulls (convex and concave) for 2D point sets.## Quick Start```pythonfrom pywayne.cv.geometric_hull_calculator import GeometricHullCalculatorimport numpy as np# Create calculator with random pointspoints = GeometricHullCalculator.generate_random_points(num_points=50)calculator = GeometricHullCalculator(points, algorithm='concave-hull')# Get resultsprint(f"MBR: {calculator.get_mbr()}")print(f"Convex Hull: {calculator.get_convex_hull()}")print(f"Concave Hull: {calculator.get_concave_hull()}")# Visualize with matplotlibcalculator.visualize_matplotlib()```## Initialization```python# algorithm options: 'concave-hull' or 'alphashape'# use_filtered_pts: Enable point filtering based on radiuscalculator = GeometricHullCalculator( points=your_points, algorithm='alphashape', use_filtered_pts=True)```## Supported Algorithms| Algorithm | Description ||-----------|-------------|| `concave-hull` | Concave hull using concave_hull library || `alphashape` | Concave hull using alphashape library |## Hull Types| Type | Method | Description ||------|---------|-------------|| Convex Hull | `get_convex_hull()` | Outer hull containing all points || Concave Hull | `get_concave_hull()` | Inner concave boundary |## Properties| Property | Description ||---------|-------------|| `points` | Input 2D points (N×2 numpy array) || `algorithm` | Algorithm used for concave hull || `use_filtered_pts` | Whether filtered points were used || `box` | Minimum Bounding Rectangle corners || `center` | Center point of input points || `filter_radius` | Radius used for point filtering || `concave_hull_result` | Concave hull points or polygons |## Visualization### OpenCV Visualization```pythoncalculator.visualize_opencv()```Displays: All input points, MBR, center, filter circle (if enabled), concave hull (green), convex hull (red).### Matplotlib Visualization```pythoncalculator.visualize_matplotlib()```Displays: All input points (red), MBR (blue), center, filter radius circle (if enabled), concave hull (orange), convex hull (purple).## Requirements- `numpy` - Array operations- `cv2` (OpenCV) - For OpenCV visualization and MBR computation- `matplotlib` - For matplotlib visualization- `scipy` - For convex hull computation- `concave_hull` - Concave hull algorithm- `alphashape` - Alphashape algorithm- `shapely` - Polygon operations for area calculation## Notes- Point filtering uses radius = 30% of shorter MBR edge length- MBR computed using OpenCV's minAreaRect- Convex hull uses scipy's ConvexHull- Supports both single Polygon and MultiPolygon from alphashape results

Frequently asked questions