Struct ClassificationSignals 

pub struct ClassificationSignals {

    pub blends_with_bg_in_img1: bool,
    pub blends_with_bg_in_img2: bool,
    pub low_color_delta: bool,
    pub low_edge_change: bool,
    pub dense_fill: bool,
    pub sparse_fill: bool,
    pub tiny_region: bool,
    pub edges_correlated: bool,
    pub luminance_ncc: f32,
    pub structure_asymmetry: f32,
    pub bg_distance_img1: f32,
    pub bg_distance_img2: f32,
    pub confidence: f32,
}

Fields

blends_with_bg_in_img1: bool

blends_with_bg_in_img2: bool

low_color_delta: bool

low_edge_change: bool

dense_fill: bool

sparse_fill: bool

tiny_region: bool

edges_correlated: bool

luminance_ncc: f32

Normalized cross-correlation of luminance across the changed pixels. High values (~1.0) mean the structural pattern is preserved between img1 and img2; near-zero values mean the structure was replaced.

structure_asymmetry: f32

Signed asymmetry between img2 and img1 edge density. Positive values indicate img2 gained structure (additive), negative values indicate img1 lost structure (deletion).

bg_distance_img1: f32

Normalized RGB distance of changed pixels from the local background in img1. Low values mean the pixels blended with the background there (content was absent before the change).

bg_distance_img2: f32

Same measurement against img2.

confidence: f32

Trait Implementations

impl Clone for ClassificationSignals

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for ClassificationSignals

impl Debug for ClassificationSignals

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ClassificationSignals

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ClassificationSignals

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for ClassificationSignals

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ClassificationSignals