NAME

Paws::Rekognition::IndexFaces - Arguments for method IndexFaces on Paws::Rekognition

DESCRIPTION

This class represents the parameters used for calling the method IndexFaces on the Amazon Rekognition service. Use the attributes of this class as arguments to method IndexFaces.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to IndexFaces.

SYNOPSIS

    my $rekognition = Paws->service('Rekognition');
    # To add a face to a collection
    # This operation detects faces in an image and adds them to the specified
    # Rekognition collection.
    my $IndexFacesResponse = $rekognition->IndexFaces(
      'CollectionId'        => 'myphotos',
      'DetectionAttributes' => [
      ],
      'ExternalImageId' => 'myphotoid',
      'Image'           => {
        'S3Object' => {
          'Bucket' => 'mybucket',
          'Name'   => 'myphoto'
        }
      }
    );
    # Results:
    my $FaceRecords           = $IndexFacesResponse->FaceRecords;
    my $OrientationCorrection = $IndexFacesResponse->OrientationCorrection;
    # Returns a L<Paws::Rekognition::IndexFacesResponse> 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 <https://docs.aws.amazon.com/goto/WebAPI/rekognition/IndexFaces>

ATTRIBUTES

REQUIRED CollectionId => Str

The ID of an existing collection to which you want to add the faces that are detected in the input images.

DetectionAttributes => ArrayRef[Str|Undef]

An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for "Attributes" or if you specify "["DEFAULT"]", the API returns the following subset of facial attributes: "BoundingBox", "Confidence", "Pose", "Quality", and "Landmarks". If you provide "["ALL"]", all facial attributes are returned, but the operation takes longer to complete.

If you provide both, "["ALL", "DEFAULT"]", the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).

ExternalImageId => Str

The ID you want to assign to all the faces detected in the image.

REQUIRED Image => Paws::Rekognition::Image

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 isn't supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the "Bytes" field. For more information, see Images in the Amazon Rekognition developer guide.

MaxFaces => Int

The maximum number of faces to index. The value of "MaxFaces" must be greater than or equal to 1. "IndexFaces" returns no more than 100 detected faces in an image, even if you specify a larger value for "MaxFaces".

If "IndexFaces" detects more faces than the value of "MaxFaces", the faces with the lowest quality are filtered out first. If there are still more faces than the value of "MaxFaces", the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of "MaxFaces"). Information about the unindexed faces is available in the "UnindexedFaces" array.

The faces that are returned by "IndexFaces" are sorted by the largest face bounding box size to the smallest size, in descending order.

"MaxFaces" can be used with a collection associated with any version of the face model.

QualityFilter => Str

A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify "AUTO", Amazon Rekognition chooses the quality bar. If you specify "LOW", "MEDIUM", or "HIGH", filtering removes all faces that don’t meet the chosen quality bar. The default value is "AUTO". 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 "NONE", no filtering is performed.

To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.

Valid values are: "NONE", "AUTO", "LOW", "MEDIUM", "HIGH"

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>