Struct Clusterizer

pub struct Clusterizer {
    pub intersection_threshold: f32,
    pub score_threshold: f32,
}

Clustering parameters for object detection results.

Fields

intersection_threshold: f32

score_threshold: f32

Implementations

impl Clusterizer

pub fn intersection_threshold(self, value: f32) -> Self

Set the intersection threshold for clustering.

pub fn score_threshold(self, value: f32) -> Self

Set the score threshold for clustering.

pub fn clusterize( &self, data: &mut [Detection<Square>], dest: &mut Vec<Detection<Target>>, )

Run clustering on the provided detection data.

Trait Implementations

impl Clone for Clusterizer

fn clone(&self) -> Clusterizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Clusterizer

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

Formats the value using the given formatter.

impl Default for Clusterizer

fn default() -> Self

Create a default clusterizer with intersection threshold of 0.7 and score threshold of 0.0.

impl PartialEq for Clusterizer

fn eq(&self, other: &Clusterizer) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for Clusterizer

impl StructuralPartialEq for Clusterizer