package Paws::Rekognition::StartContentModeration; use Moose; has ClientRequestToken => (is => 'ro', isa => 'Str'); has JobTag => (is => 'ro', isa => 'Str'); has MinConfidence => (is => 'ro', isa => 'Num'); has NotificationChannel => (is => 'ro', isa => 'Paws::Rekognition::NotificationChannel'); has Video => (is => 'ro', isa => 'Paws::Rekognition::Video', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'StartContentModeration'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::StartContentModerationResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::StartContentModeration - Arguments for method StartContentModeration on L =head1 DESCRIPTION This class represents the parameters used for calling the method StartContentModeration on the L service. Use the attributes of this class as arguments to method StartContentModeration. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to StartContentModeration. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); my $StartContentModerationResponse = $rekognition->StartContentModeration( Video => { S3Object => { Bucket => 'MyS3Bucket', # min: 3, max: 255; OPTIONAL Name => 'MyS3ObjectName', # min: 1, max: 1024; OPTIONAL Version => 'MyS3ObjectVersion', # min: 1, max: 1024; OPTIONAL }, # OPTIONAL }, ClientRequestToken => 'MyClientRequestToken', # OPTIONAL JobTag => 'MyJobTag', # OPTIONAL MinConfidence => 1.0, # OPTIONAL NotificationChannel => { RoleArn => 'MyRoleArn', SNSTopicArn => 'MySNSTopicArn', }, # OPTIONAL ); # Results: my $JobId = $StartContentModerationResponse->JobId; # 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 ClientRequestToken => Str Idempotent token used to identify the start request. If you use the same token with multiple C requests, the same C is returned. Use C to prevent the same job from being accidently started more than once. =head2 JobTag => Str An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use C to group related jobs and identify them in the completion notification. =head2 MinConfidence => Num Specifies the minimum confidence that Amazon Rekognition must have in order to return a moderated content label. Confidence represents how certain Amazon Rekognition is that the moderated content is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't return any moderated content labels with a confidence level lower than this specified value. If you don't specify C, C returns labels with confidence values greater than or equal to 50 percent. =head2 NotificationChannel => L The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the unsafe content analysis to. =head2 B Video => L The video in which you want to detect unsafe content. The video must be stored in an Amazon S3 bucket. =head1 SEE ALSO This class forms part of L, documenting arguments for method StartContentModeration in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut