Class: Aws::Rekognition::Types::HumanLoopConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::Rekognition::Types::HumanLoopConfig
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-rekognition/types.rb
Overview
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.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#data_attributes ⇒ Types::HumanLoopDataAttributes
Sets attributes of the input data.
-
#flow_definition_arn ⇒ String
The Amazon Resource Name (ARN) of the flow definition.
-
#human_loop_name ⇒ String
The name of the human review used for this image.
Instance Attribute Details
#data_attributes ⇒ Types::HumanLoopDataAttributes
Sets attributes of the input data.
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# File 'lib/aws-sdk-rekognition/types.rb', line 4309 class HumanLoopConfig < Struct.new( :human_loop_name, :flow_definition_arn, :data_attributes) SENSITIVE = [] include Aws::Structure end |
#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][1
-
Operation.
[1]: docs.aws.amazon.com/sagemaker/latest/dg/API_CreateFlowDefinition.html
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# File 'lib/aws-sdk-rekognition/types.rb', line 4309 class HumanLoopConfig < Struct.new( :human_loop_name, :flow_definition_arn, :data_attributes) SENSITIVE = [] include Aws::Structure end |
#human_loop_name ⇒ String
The name of the human review used for this image. This should be kept unique within a region.
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# File 'lib/aws-sdk-rekognition/types.rb', line 4309 class HumanLoopConfig < Struct.new( :human_loop_name, :flow_definition_arn, :data_attributes) SENSITIVE = [] include Aws::Structure end |