Struct rusoto_rekognition::HumanLoopConfig

pub struct HumanLoopConfig {
    pub data_attributes: Option<HumanLoopDataAttributes>,
    pub flow_definition_arn: String,
    pub human_loop_name: String,
}

Sets up the flow definition the image will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.

Fields

data_attributes: Option<HumanLoopDataAttributes>

Sets attributes of the input data.

flow_definition_arn: String

The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker CreateFlowDefinition Operation.

human_loop_name: String

The name of the human review used for this image. This should be kept unique within a region.

Trait Implementations

impl Clone for HumanLoopConfig

fn clone(&self) -> HumanLoopConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HumanLoopConfig

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

Formats the value using the given formatter.

impl Default for HumanLoopConfig

fn default() -> HumanLoopConfig

Returns the “default value” for a type.

impl PartialEq<HumanLoopConfig> for HumanLoopConfig

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

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

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

This method tests for !=.

impl Serialize for HumanLoopConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for HumanLoopConfig