Struct Anomaly 

#[non_exhaustive]
pub struct Anomaly {
    pub name: Option<String>,
    pub pixel_anomaly: Option<PixelAnomaly>,
}

Information about an anomaly type found on an image by an image segmentation model. For more information, see DetectAnomalies.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

name: Option<String>

The name of an anomaly type found in an image. Name maps to an anomaly type in the training dataset, apart from the anomaly type background. The service automatically inserts the background anomaly type into the response from DetectAnomalies.

pixel_anomaly: Option<PixelAnomaly>

Information about the pixel mask that covers an anomaly type.

Implementations

impl Anomaly

pub fn name(&self) -> Option<&str>

The name of an anomaly type found in an image. Name maps to an anomaly type in the training dataset, apart from the anomaly type background. The service automatically inserts the background anomaly type into the response from DetectAnomalies.

pub fn pixel_anomaly(&self) -> Option<&PixelAnomaly>

Information about the pixel mask that covers an anomaly type.

impl Anomaly

pub fn builder() -> AnomalyBuilder

Creates a new builder-style object to manufacture Anomaly.

Trait Implementations

impl Clone for Anomaly

fn clone(&self) -> Anomaly

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Anomaly

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

Formats the value using the given formatter.

impl PartialEq for Anomaly

fn eq(&self, other: &Anomaly) -> 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 StructuralPartialEq for Anomaly