package Paws::Rekognition::StartSegmentDetection; use Moose; has ClientRequestToken => (is => 'ro', isa => 'Str'); has Filters => (is => 'ro', isa => 'Paws::Rekognition::StartSegmentDetectionFilters'); has JobTag => (is => 'ro', isa => 'Str'); has NotificationChannel => (is => 'ro', isa => 'Paws::Rekognition::NotificationChannel'); has SegmentTypes => (is => 'ro', isa => 'ArrayRef[Str|Undef]', required => 1); has Video => (is => 'ro', isa => 'Paws::Rekognition::Video', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'StartSegmentDetection'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::StartSegmentDetectionResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::StartSegmentDetection - Arguments for method StartSegmentDetection on L =head1 DESCRIPTION This class represents the parameters used for calling the method StartSegmentDetection on the L service. Use the attributes of this class as arguments to method StartSegmentDetection. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to StartSegmentDetection. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); my $StartSegmentDetectionResponse = $rekognition->StartSegmentDetection( SegmentTypes => [ 'TECHNICAL_CUE', ... # values: TECHNICAL_CUE, SHOT ], 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 Filters => { ShotFilter => { MinSegmentConfidence => 1.0, # min: 50, max: 100; OPTIONAL }, # OPTIONAL TechnicalCueFilter => { MinSegmentConfidence => 1.0, # min: 50, max: 100; OPTIONAL }, # OPTIONAL }, # OPTIONAL JobTag => 'MyJobTag', # OPTIONAL NotificationChannel => { RoleArn => 'MyRoleArn', SNSTopicArn => 'MySNSTopicArn', }, # OPTIONAL ); # Results: my $JobId = $StartSegmentDetectionResponse->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 Filters => L Filters for technical cue or shot detection. =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 NotificationChannel => L The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the segment detection operation. =head2 B SegmentTypes => ArrayRef[Str|Undef] An array of segment types to detect in the video. Valid values are TECHNICAL_CUE and SHOT. =head2 B Video => L =head1 SEE ALSO This class forms part of L, documenting arguments for method StartSegmentDetection in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut