PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::Rekognition::StartShotDetectionFilter; use Moose; has MinSegmentConfidence => (is => 'ro', isa => 'Num'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::StartShotDetectionFilter =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::Rekognition::StartShotDetectionFilter object: $service_obj->Method(Att1 => { MinSegmentConfidence => $value, ..., MinSegmentConfidence => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Rekognition::StartShotDetectionFilter object: $result = $service_obj->Method(...); $result->Att1->MinSegmentConfidence =head1 DESCRIPTION Filters for the shot detection segments returned by C. For more information, see StartSegmentDetectionFilters. =head1 ATTRIBUTES =head2 MinSegmentConfidence => Num Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value. If you don't specify C, the C returns segments with confidence values greater than or equal to 50 percent. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut