package Paws::Rekognition::SearchFacesByImage; use Moose; has CollectionId => (is => 'ro', isa => 'Str', required => 1); has FaceMatchThreshold => (is => 'ro', isa => 'Num'); has Image => (is => 'ro', isa => 'Paws::Rekognition::Image', required => 1); has MaxFaces => (is => 'ro', isa => 'Int'); has QualityFilter => (is => 'ro', isa => 'Str'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'SearchFacesByImage'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::SearchFacesByImageResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::SearchFacesByImage - Arguments for method SearchFacesByImage on L =head1 DESCRIPTION This class represents the parameters used for calling the method SearchFacesByImage on the L service. Use the attributes of this class as arguments to method SearchFacesByImage. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to SearchFacesByImage. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); # To search for faces matching a supplied image # This operation searches for faces in a Rekognition collection that match the # largest face in an S3 bucket stored image. my $SearchFacesByImageResponse = $rekognition->SearchFacesByImage( 'CollectionId' => 'myphotos', 'FaceMatchThreshold' => 95, 'Image' => { 'S3Object' => { 'Bucket' => 'mybucket', 'Name' => 'myphoto' } }, 'MaxFaces' => 5 ); # Results: my $FaceMatches = $SearchFacesByImageResponse->FaceMatches; my $SearchedFaceBoundingBox = $SearchFacesByImageResponse->SearchedFaceBoundingBox; my $SearchedFaceConfidence = $SearchFacesByImageResponse->SearchedFaceConfidence; # 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 CollectionId => Str ID of the collection to search. =head2 FaceMatchThreshold => Num (Optional) Specifies the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%. =head2 B Image => 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 MaxFaces => Int Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match. =head2 QualityFilter => Str A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. 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"> =head1 SEE ALSO This class forms part of L, documenting arguments for method SearchFacesByImage in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut