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::SageMaker::UiConfig; use Moose; has HumanTaskUiArn => (is => 'ro', isa => 'Str'); has UiTemplateS3Uri => (is => 'ro', isa => 'Str'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::UiConfig =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::SageMaker::UiConfig object: $service_obj->Method(Att1 => { HumanTaskUiArn => $value, ..., UiTemplateS3Uri => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::UiConfig object: $result = $service_obj->Method(...); $result->Att1->HumanTaskUiArn =head1 DESCRIPTION Provided configuration information for the worker UI for a labeling job. =head1 ATTRIBUTES =head2 HumanTaskUiArn => Str The ARN of the worker task template used to render the worker UI and tools for labeling job tasks. Use this parameter when you are creating a labeling job for 3D point cloud and video fram labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace C with the Amazon Web Services region you are creating your labeling job in. B<3D Point Cloud HumanTaskUiArns> Use this C for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs. =over =item * C =back Use this C for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs. =over =item * C =back Use this C for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs. =over =item * C =back B