Expand description
§qhull-rs
Safe Rust Qhull bindings
Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furthest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. It handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.
Qhull does not support triangulation of non-convex surfaces, mesh generation of non-convex objects, medium-sized inputs in 9-D and higher, alpha shapes, weighted Voronoi diagrams, Voronoi volumes, or constrained Delaunay triangulations.
- Qhull main page (retrieved 2024-09-02)
§Quick start
cargo run --example hull
§Binaries
qhull-rs
provides some binary targets from the original Qhull source code:
qconvex
qdelaunay
qhalf
qhull
qvoronoi
rbox
To get them:
cargo install qhull
qhull
§Usage
Add this to your Cargo.toml
:
qhull = "0.3"
For the current development version:
[dependencies]
qhull = { git = "https://github.com/LucaCiucci/qhull-rs" }
§Example
A 2D convex hull:
use qhull::Qh;
let qh = Qh::builder()
.compute(true)
.build_from_iter([
[0.0, 0.0],
[1.0, 0.0],
[0.0, 1.0],
[0.25, 0.25],
]).unwrap();
for simplex in qh.simplices() {
let vertices = simplex
.vertices().unwrap()
.iter()
.map(|v| v.id())
.collect::<Vec<_>>();
println!("{:?}", vertices);
}
See the examples
module/folder for more examples.
§License
This crate uses Qhull, please refer to the Qhull license for more information when using this crate.
Re-exports§
pub use qhull_sys as sys;
Modules§
- Some examples from the
examples
folder
Macros§
Structs§
- A Qhull instance
- Builder for a Qhull instance