software.amazon.awssdk.services.rekognition.model

Class IndexFacesRequest

java.lang.Object

software.amazon.awssdk.core.SdkRequest

software.amazon.awssdk.awscore.AwsRequest

software.amazon.awssdk.services.rekognition.model.RekognitionRequest

software.amazon.awssdk.services.rekognition.model.IndexFacesRequest

All Implemented Interfaces:

SdkPojo, ToCopyableBuilder<IndexFacesRequest.Builder,IndexFacesRequest>

@Generated(value="software.amazon.awssdk:codegen")
public final class IndexFacesRequest
extends RekognitionRequest
implements ToCopyableBuilder<IndexFacesRequest.Builder,IndexFacesRequest>

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	IndexFacesRequest.Builder

Method Summary

Modifier and Type	Method and Description
static IndexFacesRequest.Builder	builder()
String	collectionId() The ID of an existing collection to which you want to add the faces that are detected in the input images.
List<Attribute>	detectionAttributes() An array of facial attributes that you want to be returned.
List<String>	detectionAttributesAsStrings() An array of facial attributes that you want to be returned.
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj)
String	externalImageId() The ID you want to assign to all the faces detected in the image.
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
boolean	hasDetectionAttributes() For responses, this returns true if the service returned a value for the DetectionAttributes property.
int	hashCode()
Image	image() The input image as base64-encoded bytes or an S3 object.
Integer	maxFaces() The maximum number of faces to index.
QualityFilter	qualityFilter() A filter that specifies a quality bar for how much filtering is done to identify faces.
String	qualityFilterAsString() A filter that specifies a quality bar for how much filtering is done to identify faces.
List<SdkField<?>>	sdkFields()
static Class<? extends IndexFacesRequest.Builder>	serializableBuilderClass()
IndexFacesRequest.Builder	toBuilder()
String	toString() Returns a string representation of this object.

Methods inherited from class software.amazon.awssdk.awscore.AwsRequest

overrideConfiguration

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

copy

Method Detail

collectionId

public final String collectionId()

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

Returns:

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

image

public final Image 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.

Returns:

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.

externalImageId

public final String externalImageId()

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

Returns:

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

detectionAttributes

public final List<Attribute> detectionAttributes()

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).

Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasDetectionAttributes() method.

Returns:

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).

hasDetectionAttributes

public final boolean hasDetectionAttributes()

For responses, this returns true if the service returned a value for the DetectionAttributes property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.

detectionAttributesAsStrings

public final List<String> detectionAttributesAsStrings()

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).

Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasDetectionAttributes() method.

Returns:

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).

maxFaces

public final Integer maxFaces()

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.

Returns:

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

public final QualityFilter qualityFilter()

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.

If the service returns an enum value that is not available in the current SDK version, qualityFilter will return QualityFilter.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from qualityFilterAsString().

Returns:

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.

See Also:

QualityFilter

qualityFilterAsString

public final String qualityFilterAsString()

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.

If the service returns an enum value that is not available in the current SDK version, qualityFilter will return QualityFilter.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from qualityFilterAsString().

Returns:

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.

See Also:

QualityFilter

toBuilder

public IndexFacesRequest.Builder toBuilder()

Specified by:

toBuilder in interface ToCopyableBuilder<IndexFacesRequest.Builder,IndexFacesRequest>

Specified by:

toBuilder in class RekognitionRequest

builder

public static IndexFacesRequest.Builder builder()

serializableBuilderClass

public static Class<? extends IndexFacesRequest.Builder> serializableBuilderClass()

hashCode

public final int hashCode()

Overrides:

hashCode in class AwsRequest

equals

public final boolean equals(Object obj)

Overrides:

equals in class AwsRequest

equalsBySdkFields

public final boolean equalsBySdkFields(Object obj)

Specified by:

equalsBySdkFields in interface SdkPojo

toString

public final String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

getValueForField

public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)

Overrides:

getValueForField in class SdkRequest

sdkFields

public final List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo