Struct aws_sdk_rekognition::operation::update_stream_processor::UpdateStreamProcessorInput

#[non_exhaustive]
pub struct UpdateStreamProcessorInput {
    pub name: Option<String>,
    pub settings_for_update: Option<StreamProcessorSettingsForUpdate>,
    pub regions_of_interest_for_update: Option<Vec<RegionOfInterest>>,
    pub data_sharing_preference_for_update: Option<StreamProcessorDataSharingPreference>,
    pub parameters_to_delete: Option<Vec<StreamProcessorParameterToDelete>>,
}

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>

Name of the stream processor that you want to update.

settings_for_update: Option<StreamProcessorSettingsForUpdate>

The stream processor settings that you want to update. Label detection settings can be updated to detect different labels with a different minimum confidence.

regions_of_interest_for_update: Option<Vec<RegionOfInterest>>

Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors.

data_sharing_preference_for_update: Option<StreamProcessorDataSharingPreference>

Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

parameters_to_delete: Option<Vec<StreamProcessorParameterToDelete>>

A list of parameters you want to delete from the stream processor.

Implementations

impl UpdateStreamProcessorInput

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

Name of the stream processor that you want to update.

pub fn settings_for_update(&self) -> Option<&StreamProcessorSettingsForUpdate>

The stream processor settings that you want to update. Label detection settings can be updated to detect different labels with a different minimum confidence.

pub fn regions_of_interest_for_update(&self) -> Option<&[RegionOfInterest]>

Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors.

pub fn data_sharing_preference_for_update( &self ) -> Option<&StreamProcessorDataSharingPreference>

Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

pub fn parameters_to_delete( &self ) -> Option<&[StreamProcessorParameterToDelete]>

A list of parameters you want to delete from the stream processor.

impl UpdateStreamProcessorInput

pub fn builder() -> UpdateStreamProcessorInputBuilder

Creates a new builder-style object to manufacture UpdateStreamProcessorInput.

Trait Implementations

impl Clone for UpdateStreamProcessorInput

fn clone(&self) -> UpdateStreamProcessorInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateStreamProcessorInput

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

Formats the value using the given formatter.

impl PartialEq<UpdateStreamProcessorInput> for UpdateStreamProcessorInput

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

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

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

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

impl StructuralPartialEq for UpdateStreamProcessorInput