Struct aws_sdk_rekognition::input::update_stream_processor_input::Builder

pub struct Builder { /* private fields */ }

A builder for UpdateStreamProcessorInput.

Implementations

impl Builder

pub fn name(self, input: impl Into<String>) -> Self

Name of the stream processor that you want to update.

pub fn set_name(self, input: Option<String>) -> Self

Name of the stream processor that you want to update.

pub fn settings_for_update(self, input: StreamProcessorSettingsForUpdate) -> Self

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 set_settings_for_update(
    self,
    input: Option<StreamProcessorSettingsForUpdate>
) -> Self

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, input: RegionOfInterest) -> Self

Appends an item to regions_of_interest_for_update.

To override the contents of this collection use set_regions_of_interest_for_update.

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 set_regions_of_interest_for_update(
    self,
    input: Option<Vec<RegionOfInterest>>
) -> Self

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,
    input: StreamProcessorDataSharingPreference
) -> Self

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 set_data_sharing_preference_for_update(
    self,
    input: Option<StreamProcessorDataSharingPreference>
) -> Self

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,
    input: StreamProcessorParameterToDelete
) -> Self

Appends an item to parameters_to_delete.

To override the contents of this collection use set_parameters_to_delete.

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

pub fn set_parameters_to_delete(
    self,
    input: Option<Vec<StreamProcessorParameterToDelete>>
) -> Self

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

pub fn build(self) -> Result<UpdateStreamProcessorInput, BuildError>

Consumes the builder and constructs a UpdateStreamProcessorInput.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

fn eq(&self, other: &Builder) -> 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 Builder