Struct aws_sdk_rekognition::model::StartTechnicalCueDetectionFilter

#[non_exhaustive]
pub struct StartTechnicalCueDetectionFilter {
    pub min_segment_confidence: Option<f32>,
    pub black_frame: Option<BlackFrame>,
}

Filters for the technical segments returned by GetSegmentDetection. For more information, see StartSegmentDetectionFilters.

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.

min_segment_confidence: Option<f32>

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence, GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

black_frame: Option<BlackFrame>

A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame. Videos can come from multiple sources, formats, and time periods, with different standards and varying noise levels for black frames that need to be accounted for.

Implementations

impl StartTechnicalCueDetectionFilter

pub fn min_segment_confidence(&self) -> Option<f32>

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence, GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

pub fn black_frame(&self) -> Option<&BlackFrame>

A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame. Videos can come from multiple sources, formats, and time periods, with different standards and varying noise levels for black frames that need to be accounted for.

impl StartTechnicalCueDetectionFilter

pub fn builder() -> Builder

Creates a new builder-style object to manufacture StartTechnicalCueDetectionFilter

Trait Implementations

impl Clone for StartTechnicalCueDetectionFilter

fn clone(&self) -> StartTechnicalCueDetectionFilter

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for StartTechnicalCueDetectionFilter

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

Formats the value using the given formatter.

impl PartialEq<StartTechnicalCueDetectionFilter> for StartTechnicalCueDetectionFilter

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl StructuralPartialEq for StartTechnicalCueDetectionFilter