#circle #geometry #shapes

bin+lib shapers

A library for fitting shapes and operations on geometrical objects

3 releases (breaking)

0.3.0 Sep 12, 2024
0.2.0 Sep 6, 2024
0.1.0 Sep 5, 2024

#659 in Math

Download history 210/week @ 2024-09-01 121/week @ 2024-09-08 80/week @ 2024-09-15 20/week @ 2024-09-22 68/week @ 2024-09-29

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Crates.io Version PyPI - Version PyPI - Downloads

Shapers

Fitting shapes with Rust in python

Currently, only TaubinSVD and geometrical fitting are implemented.

This package is based on circle-fit. We are incorporating functions from the original work by Nikolai Chernov.

How to install

The software is available on crates.io or in PyPi.

Python

To install in python run

pip install shapers

Rust

To install in Rust, add the following to your Cargo.toml file

[dependencies]
shapers = "0.3.0"

Circle fitting

How to use

Currently, the exposed functions are:

Function Description
fit_geometrical(x_values: Vec<f64>, y_values: Vec<f64>) Calculate the geometrical mean
taubin_svd(x_values: Vec<f64>, y_values: Vec<f64>) Fit a circle using Taubin SVD
fit_lsq(x_values: Vec<f64>, y_values: Vec<f64>) Fit a circle using least squares

Python example:

import shapers as shs

# create example circle
circle_center = [5, 5]
circle_radius = 5
n_points = 50
theta = np.linspace(0, 2 * np.pi, n_points)
arrx = circle_center[0] + (circle_radius * np.random.normal(1, 0.1)) * np.cos(theta)
arry = circle_center[1] + (circle_radius * np.random.normal(1, 0.1)) * np.sin(theta)

# fit circle
x_center, y_center = shs.taubin_svd(arrx, arry)
# x_center, y_center = shs.fit_geometrical(arrx, arry)  # alternatively
# x_center, y_center = shs.fit_lsq(arrx, arry)  # alternatively

It is possible to modify the parameters of the algorithm through the FitCircleParams class in the following wway:

# fit circle
parameters = shs.FitCircleParams()
parameters.method = "lbfgs"
parameters.precision = 1e-4
parameters.max_iterations = 1000
x_center, y_center = shs.fit_lsq(arrx, arry, parameters)

Each method might have specific parameters. For more information, please refer to the documentation of the method.

Ellipsoid superposition

To determine if two ellipsoids are superimposed, you can use check_ellipsoid_intersection(ellipse_a: Ellipsoid, ellipse_b: Ellipsoid, parameters: Option<EllipsoidIntersectionParameters>.

Python example

import shapers as shs

# create example Ellipsoids
eli1 = shs.Ellipsoid(0, 0, 2, 1, 0)
eli2 = shs.Ellipsoid(4, 0, 2, 1, 0)

# check intersection
intersection = shs.check_ellipsoid_intersection(eli1, eli2)

If the value of intersection is positive, the ellipsoids are superimposed. If it is zero, they are only touching at one point. If it is negative, they are not touching at all.

To modify the parameters, you can use the EllipsoidIntersectionParameters class. For example:

# check intersection
parameters = shs.EllipsoidIntersectionParameters()
parameters.tolerance = 1e-4
parameters.max_iters = 1000
intersection = shs.check_ellipsoid_intersection(eli1, eli2, parameters)

Rust example

// create example Ellipsoids
let ellipse1 = Ellipsoid::new(0.0, 0.0, 2.0, 1.0, 0.0);
let ellipse2 = Ellipsoid::new(4.0, 0.0, 2.0, 1.0, 0.0);

// check intersection
let parameters = ellipsoids::EllipsoidIntersectionParameters::new()
    .with_tolerance(1e-6)
    .with_max_iters(100);
let intersection = ellipsoids::check_ellipsoid_intersection(ellipse1, ellipse2, Some(parameters));

Dependencies

~69MB
~1M SLoC