package Paws::Rekognition::CreateStreamProcessor; use Moose; has Input => (is => 'ro', isa => 'Paws::Rekognition::StreamProcessorInput', required => 1); has Name => (is => 'ro', isa => 'Str', required => 1); has Output => (is => 'ro', isa => 'Paws::Rekognition::StreamProcessorOutput', required => 1); has RoleArn => (is => 'ro', isa => 'Str', required => 1); has Settings => (is => 'ro', isa => 'Paws::Rekognition::StreamProcessorSettings', required => 1); has Tags => (is => 'ro', isa => 'Paws::Rekognition::TagMap'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateStreamProcessor'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::CreateStreamProcessorResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::CreateStreamProcessor - Arguments for method CreateStreamProcessor on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateStreamProcessor on the L service. Use the attributes of this class as arguments to method CreateStreamProcessor. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateStreamProcessor. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); my $CreateStreamProcessorResponse = $rekognition->CreateStreamProcessor( Input => { KinesisVideoStream => { Arn => 'MyKinesisVideoArn', # OPTIONAL }, # OPTIONAL }, Name => 'MyStreamProcessorName', Output => { KinesisDataStream => { Arn => 'MyKinesisDataArn', # OPTIONAL }, # OPTIONAL }, RoleArn => 'MyRoleArn', Settings => { FaceSearch => { CollectionId => 'MyCollectionId', # min: 1, max: 255; OPTIONAL FaceMatchThreshold => 1.0, # max: 100; OPTIONAL }, # OPTIONAL }, Tags => { 'MyTagKey' => 'MyTagValue', # key: min: 1, max: 128, value: max: 256 }, # OPTIONAL ); # Results: my $StreamProcessorArn = $CreateStreamProcessorResponse->StreamProcessorArn; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 B Input => L Kinesis video stream stream that provides the source streaming video. If you are using the AWS CLI, the parameter name is C. =head2 B Name => Str An identifier you assign to the stream processor. You can use C to manage the stream processor. For example, you can get the current status of the stream processor by calling DescribeStreamProcessor. C is idempotent. =head2 B Output => L Kinesis data stream stream to which Amazon Rekognition Video puts the analysis results. If you are using the AWS CLI, the parameter name is C. =head2 B RoleArn => Str ARN of the IAM role that allows access to the stream processor. =head2 B Settings => L Face recognition input parameters to be used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect. =head2 Tags => L A set of tags (key-value pairs) that you want to attach to the stream processor. =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateStreamProcessor in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut