package Paws::Rekognition::CompareFaces; use Moose; has QualityFilter => (is => 'ro', isa => 'Str'); has SimilarityThreshold => (is => 'ro', isa => 'Num'); has SourceImage => (is => 'ro', isa => 'Paws::Rekognition::Image', required => 1); has TargetImage => (is => 'ro', isa => 'Paws::Rekognition::Image', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CompareFaces'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::CompareFacesResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::CompareFaces - Arguments for method CompareFaces on L =head1 DESCRIPTION This class represents the parameters used for calling the method CompareFaces on the L service. Use the attributes of this class as arguments to method CompareFaces. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CompareFaces. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); # To compare two images # This operation compares the largest face detected in the source image with # each face detected in the target image. my $CompareFacesResponse = $rekognition->CompareFaces( 'SimilarityThreshold' => 90, 'SourceImage' => { 'S3Object' => { 'Bucket' => 'mybucket', 'Name' => 'mysourceimage' } }, 'TargetImage' => { 'S3Object' => { 'Bucket' => 'mybucket', 'Name' => 'mytargetimage' } } ); # Results: my $FaceMatches = $CompareFacesResponse->FaceMatches; my $SourceImageFace = $CompareFacesResponse->SourceImageFace; # 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 QualityFilter => Str A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify C, Amazon Rekognition chooses the quality bar. If you specify C, C, or C, filtering removes all faces that donEt meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify C, no filtering is performed. The default value is C. To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher. Valid values are: C<"NONE">, C<"AUTO">, C<"LOW">, C<"MEDIUM">, C<"HIGH"> =head2 SimilarityThreshold => Num The minimum level of confidence in the face matches that a match must meet to be included in the C array. =head2 B SourceImage => L The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported. If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the C field. For more information, see Images in the Amazon Rekognition developer guide. =head2 B TargetImage => L The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported. If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the C field. For more information, see Images in the Amazon Rekognition developer guide. =head1 SEE ALSO This class forms part of L, documenting arguments for method CompareFaces in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut