Struct 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) -> &[RegionOfInterest]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .regions_of_interest_for_update.is_none().

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) -> &[StreamProcessorParameterToDelete]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .parameters_to_delete.is_none().

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 duplicate of the value.

const 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 for UpdateStreamProcessorInput

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

Tests for self and other values to be equal, and is used by ==.

const 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 UpdateStreamProcessorInput