Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
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...
skill openclawclawhub Free
Geometric hull calculator for 2D point sets supporting convex hull, concave hull (concave-hull, alphashape), and minimum bounding rectangle. Use when working...
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Quick setup
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Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- wangyendt
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Documentation
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
AlgorithmDescriptionconcave-hullConcave hull using concave_hull libraryalphashapeConcave hull using alphashape library
Hull Types
TypeMethodDescriptionConvex Hullget_convex_hull()Outer hull containing all pointsConcave Hullget_concave_hull()Inner concave boundary
Properties
PropertyDescriptionpointsInput 2D points (NΓ2 numpy array)algorithmAlgorithm used for concave hulluse_filtered_ptsWhether filtered points were usedboxMinimum Bounding Rectangle cornerscenterCenter point of input pointsfilter_radiusRadius used for point filteringconcave_hull_resultConcave hull points or polygons
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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md