#[non_exhaustive]
pub struct UpdateStreamProcessorInputBuilder { /* private fields */ }
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impl UpdateStreamProcessorInputBuilder

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

Name of the stream processor that you want to update.

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

Name of the stream processor that you want to update.

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pub fn get_name(&self) -> &Option<String>

Name of the stream processor that you want to update.

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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.

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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.

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pub fn get_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.

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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.

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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.

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pub fn get_regions_of_interest_for_update( &self ) -> &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.

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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.

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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.

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pub fn get_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.

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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.

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

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

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pub fn get_parameters_to_delete( &self ) -> &Option<Vec<StreamProcessorParameterToDelete>>

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

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

Consumes the builder and constructs a UpdateStreamProcessorInput.

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impl UpdateStreamProcessorInputBuilder

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pub async fn send_with( self, client: &Client ) -> Result<UpdateStreamProcessorOutput, SdkError<UpdateStreamProcessorError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for UpdateStreamProcessorInputBuilder

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fn clone(&self) -> UpdateStreamProcessorInputBuilder

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for UpdateStreamProcessorInputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for UpdateStreamProcessorInputBuilder

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fn default() -> UpdateStreamProcessorInputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq<UpdateStreamProcessorInputBuilder> for UpdateStreamProcessorInputBuilder

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

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

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Gets the TypeId of self. Read more
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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

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fn instrument(self, span: Span) -> Instrumented<Self>

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impl<T, U> TryFrom<U> for Twhere U: Into<T>,

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type Error = Infallible

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impl<T, U> TryInto<U> for Twhere U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

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