几何外壳计算

该部分主要由 GeometricHullCalculator 类提供，用于计算给定点集的凸包和凹包，同时也支持随机点生成和可视化操作。

主要功能:

计算并返回点集的最小边界矩形（MBR）、凸包和凹包。
支持使用 OpenCV 和 matplotlib 分别进行结果的可视化展示。
提供生成随机点集的辅助方法，方便示例测试和验证算法。

主要方法:

generate_random_points(num_points: int = 100, scale: int = 50, offset: int = 150): 生成随机点集，用于测试或示例展示。
get_convex_hull(self): 返回点集的凸包结果。
get_concave_hull(self): 返回点集的凹包结果。
visualize_opencv(self): 使用 OpenCV 显示计算结果。
visualize_matplotlib(self): 使用 matplotlib 绘制与展示计算结果。

示例:

>>> from pywayne.cv.geometric_hull_calculator import GeometricHullCalculator
>>> hull_calculator = GeometricHullCalculator(points=GeometricHullCalculator.generate_random_points())
>>> convex_hull = hull_calculator.get_convex_hull()
>>> concave_hull = hull_calculator.get_concave_hull()
>>> hull_calculator.visualize_matplotlib()

class pywayne.cv.geometric_hull_calculator.GeometricHullCalculator(points, algorithm='concave-hull', use_filtered_pts=False)

Bases: object

A class for calculating and visualizing geometric hulls of a set of points.

This class provides methods to compute minimum bounding rectangles, convex hulls, and concave hulls for a given set of 2D points. It also offers visualization options using both OpenCV and Matplotlib.

points

The input set of 2D points.

Type:: np.ndarray

algorithm

The algorithm to use for concave hull calculation (‘concave-hull’ or ‘alphashape’).

Type:: str

use_filtered_pts

Whether to use filtered points for hull calculations.

Type:: bool

box

The minimum bounding rectangle of the points.

Type:: np.ndarray

center

The center point of the input points.

Type:: np.ndarray

filter_radius

The radius used for filtering points.

Type:: float

concave_hull_result

The resulting concave hull.

Type:: np.ndarray or list

convex_hull_points

The convex hull points.

Type:: np.ndarray

compute_concave_hull_area()

Compute the area of the concave hull.

Returns:: The area of the concave hull.
Return type:: float

static generate_random_points(num_points=100, scale=50, offset=150)

Generate a set of random 2D points.

Parameters:

num_points (int) – The number of points to generate.
scale (float) – The scale factor for the random distribution.
offset (float) – The offset to add to all points.

Returns:

An array of random 2D points.

Return type:

np.ndarray

get_concave_hull(): Get the Concave Hull result.

get_convex_hull(): Get the Convex Hull points.

get_mbr(): Get the Minimum Bounding Rectangle.

visualize_matplotlib(): Visualize the geometric shapes using Matplotlib.

visualize_opencv(): Visualize the geometric shapes using OpenCV.