Enum ThinningMethod 

pub enum ThinningMethod {
    Grid {
        cell_size: f64,
    },
    Random {
        target_count: usize,
        seed: u64,
    },
    PoissonDisk {
        min_distance: f64,
        seed: u64,
    },
}

Selection of thinning algorithm and its parameters.

This enum is the input to thin_with_stats; each variant carries the parameters needed by exactly one of the public thinning functions.

Variants

Grid

Voxel-bucket thinning with cubic voxels of side cell_size. Equivalent to PDAL’s filters.sample with a uniform grid.

Fields

cell_size: f64

Voxel side length in the same units as the input coordinates. Must be strictly positive; non-positive values cause the input to be returned unchanged.

Random

Random sub-sampling that keeps exactly target_count points (or fewer when the input is smaller) via a deterministic Fisher-Yates shuffle.

Fields

target_count: usize

Desired number of output points. If target_count >= points.len() the input is returned unchanged.

seed: u64

LCG seed; identical seeds produce identical outputs.

PoissonDisk

Poisson-disk thinning ensuring every pair of kept points is at least min_distance apart in 3D Euclidean distance.

Fields

min_distance: f64

Minimum Euclidean separation between any two kept points. Must be strictly positive; non-positive values cause the input to be returned unchanged.

seed: u64

LCG seed used to permute input order before greedy acceptance.

Trait Implementations

impl Clone for ThinningMethod

fn clone(&self) -> ThinningMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for ThinningMethod

impl Debug for ThinningMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.