/* * Copyright 2010-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either * express or implied. See the License for the specific language governing * permissions and limitations under the License. */ package com.amazonaws.services.rekognition.model; import java.io.Serializable; /** *
* An image that is picked from the Face Liveness video and returned for audit * trail purposes, returned as Base64-encoded bytes. *
*/ public class AuditImage implements Serializable { /** ** The Base64-encoded bytes representing an image selected from the Face * Liveness video and returned for audit purposes. *
*
* Constraints:
* Length: 1 - 204800
*/
private java.nio.ByteBuffer bytes;
/**
*
* Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must match the * region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must have * permission to access the S3 object. For more information, see How Amazon * Rekognition works with IAM in the Amazon Rekognition Developer Guide. *
*/ private S3Object s3Object; /** *
* Identifies the bounding box around the label, face, text, object of
* interest, or personal protective equipment. The left
* (x-coordinate) and top
(y-coordinate) are coordinates
* representing the top and left sides of the bounding box. Note that the
* upper-left corner of the image is the origin (0,0).
*
* The top
and left
values returned are ratios of
* the overall image size. For example, if the input image is 700x200
* pixels, and the top-left coordinate of the bounding box is 350x50 pixels,
* the API returns a left
value of 0.5 (350/700) and a
* top
value of 0.25 (50/200).
*
* The width
and height
values represent the
* dimensions of the bounding box as a ratio of the overall image dimension.
* For example, if the input image is 700x200 pixels, and the bounding box
* width is 70 pixels, the width returned is 0.1.
*
* The bounding box coordinates can have negative values. For example, if
* Amazon Rekognition is able to detect a face that is at the image edge and
* is only partially visible, the service can return coordinates that are
* outside the image bounds and, depending on the image edge, you might get
* negative values or values greater than 1 for the left
or
* top
values.
*
* The Base64-encoded bytes representing an image selected from the Face * Liveness video and returned for audit purposes. *
*
* Constraints:
* Length: 1 - 204800
*
* @return
* The Base64-encoded bytes representing an image selected from the * Face Liveness video and returned for audit purposes. *
*/ public java.nio.ByteBuffer getBytes() { return bytes; } /** ** The Base64-encoded bytes representing an image selected from the Face * Liveness video and returned for audit purposes. *
*
* Constraints:
* Length: 1 - 204800
*
* @param bytes
* The Base64-encoded bytes representing an image selected from * the Face Liveness video and returned for audit purposes. *
*/ public void setBytes(java.nio.ByteBuffer bytes) { this.bytes = bytes; } /** ** The Base64-encoded bytes representing an image selected from the Face * Liveness video and returned for audit purposes. *
** Returns a reference to this object so that method calls can be chained * together. *
* Constraints:
* Length: 1 - 204800
*
* @param bytes
* The Base64-encoded bytes representing an image selected from * the Face Liveness video and returned for audit purposes. *
* @return A reference to this updated object so that method calls can be * chained together. */ public AuditImage withBytes(java.nio.ByteBuffer bytes) { this.bytes = bytes; return this; } /** ** Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must match the * region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must have * permission to access the S3 object. For more information, see How Amazon * Rekognition works with IAM in the Amazon Rekognition Developer Guide. *
* * @return* Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must match * the region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must * have permission to access the S3 object. For more information, * see How Amazon Rekognition works with IAM in the Amazon * Rekognition Developer Guide. *
*/ public S3Object getS3Object() { return s3Object; } /** ** Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must match the * region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must have * permission to access the S3 object. For more information, see How Amazon * Rekognition works with IAM in the Amazon Rekognition Developer Guide. *
* * @param s3Object* Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must * match the region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must * have permission to access the S3 object. For more information, * see How Amazon Rekognition works with IAM in the Amazon * Rekognition Developer Guide. *
*/ public void setS3Object(S3Object s3Object) { this.s3Object = s3Object; } /** ** Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must match the * region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must have * permission to access the S3 object. For more information, see How Amazon * Rekognition works with IAM in the Amazon Rekognition Developer Guide. *
** Returns a reference to this object so that method calls can be chained * together. * * @param s3Object
* Provides the S3 bucket name and object name. *
** The region for the S3 bucket containing the S3 object must * match the region you use for Amazon Rekognition operations. *
** For Amazon Rekognition to process an S3 object, the user must * have permission to access the S3 object. For more information, * see How Amazon Rekognition works with IAM in the Amazon * Rekognition Developer Guide. *
* @return A reference to this updated object so that method calls can be * chained together. */ public AuditImage withS3Object(S3Object s3Object) { this.s3Object = s3Object; return this; } /** *
* Identifies the bounding box around the label, face, text, object of
* interest, or personal protective equipment. The left
* (x-coordinate) and top
(y-coordinate) are coordinates
* representing the top and left sides of the bounding box. Note that the
* upper-left corner of the image is the origin (0,0).
*
* The top
and left
values returned are ratios of
* the overall image size. For example, if the input image is 700x200
* pixels, and the top-left coordinate of the bounding box is 350x50 pixels,
* the API returns a left
value of 0.5 (350/700) and a
* top
value of 0.25 (50/200).
*
* The width
and height
values represent the
* dimensions of the bounding box as a ratio of the overall image dimension.
* For example, if the input image is 700x200 pixels, and the bounding box
* width is 70 pixels, the width returned is 0.1.
*
* The bounding box coordinates can have negative values. For example, if
* Amazon Rekognition is able to detect a face that is at the image edge and
* is only partially visible, the service can return coordinates that are
* outside the image bounds and, depending on the image edge, you might get
* negative values or values greater than 1 for the left
or
* top
values.
*
* Identifies the bounding box around the label, face, text, object
* of interest, or personal protective equipment. The
* left
(x-coordinate) and top
* (y-coordinate) are coordinates representing the top and left
* sides of the bounding box. Note that the upper-left corner of the
* image is the origin (0,0).
*
* The top
and left
values returned are
* ratios of the overall image size. For example, if the input image
* is 700x200 pixels, and the top-left coordinate of the bounding
* box is 350x50 pixels, the API returns a left
value
* of 0.5 (350/700) and a top
value of 0.25 (50/200).
*
* The width
and height
values represent
* the dimensions of the bounding box as a ratio of the overall
* image dimension. For example, if the input image is 700x200
* pixels, and the bounding box width is 70 pixels, the width
* returned is 0.1.
*
* The bounding box coordinates can have negative values. For
* example, if Amazon Rekognition is able to detect a face that is
* at the image edge and is only partially visible, the service can
* return coordinates that are outside the image bounds and,
* depending on the image edge, you might get negative values or
* values greater than 1 for the left
or
* top
values.
*
* Identifies the bounding box around the label, face, text, object of
* interest, or personal protective equipment. The left
* (x-coordinate) and top
(y-coordinate) are coordinates
* representing the top and left sides of the bounding box. Note that the
* upper-left corner of the image is the origin (0,0).
*
* The top
and left
values returned are ratios of
* the overall image size. For example, if the input image is 700x200
* pixels, and the top-left coordinate of the bounding box is 350x50 pixels,
* the API returns a left
value of 0.5 (350/700) and a
* top
value of 0.25 (50/200).
*
* The width
and height
values represent the
* dimensions of the bounding box as a ratio of the overall image dimension.
* For example, if the input image is 700x200 pixels, and the bounding box
* width is 70 pixels, the width returned is 0.1.
*
* The bounding box coordinates can have negative values. For example, if
* Amazon Rekognition is able to detect a face that is at the image edge and
* is only partially visible, the service can return coordinates that are
* outside the image bounds and, depending on the image edge, you might get
* negative values or values greater than 1 for the left
or
* top
values.
*
* Identifies the bounding box around the label, face, text,
* object of interest, or personal protective equipment. The
* left
(x-coordinate) and top
* (y-coordinate) are coordinates representing the top and left
* sides of the bounding box. Note that the upper-left corner of
* the image is the origin (0,0).
*
* The top
and left
values returned are
* ratios of the overall image size. For example, if the input
* image is 700x200 pixels, and the top-left coordinate of the
* bounding box is 350x50 pixels, the API returns a
* left
value of 0.5 (350/700) and a
* top
value of 0.25 (50/200).
*
* The width
and height
values
* represent the dimensions of the bounding box as a ratio of the
* overall image dimension. For example, if the input image is
* 700x200 pixels, and the bounding box width is 70 pixels, the
* width returned is 0.1.
*
* The bounding box coordinates can have negative values. For
* example, if Amazon Rekognition is able to detect a face that
* is at the image edge and is only partially visible, the
* service can return coordinates that are outside the image
* bounds and, depending on the image edge, you might get
* negative values or values greater than 1 for the
* left
or top
values.
*
* Identifies the bounding box around the label, face, text, object of
* interest, or personal protective equipment. The left
* (x-coordinate) and top
(y-coordinate) are coordinates
* representing the top and left sides of the bounding box. Note that the
* upper-left corner of the image is the origin (0,0).
*
* The top
and left
values returned are ratios of
* the overall image size. For example, if the input image is 700x200
* pixels, and the top-left coordinate of the bounding box is 350x50 pixels,
* the API returns a left
value of 0.5 (350/700) and a
* top
value of 0.25 (50/200).
*
* The width
and height
values represent the
* dimensions of the bounding box as a ratio of the overall image dimension.
* For example, if the input image is 700x200 pixels, and the bounding box
* width is 70 pixels, the width returned is 0.1.
*
* The bounding box coordinates can have negative values. For example, if
* Amazon Rekognition is able to detect a face that is at the image edge and
* is only partially visible, the service can return coordinates that are
* outside the image bounds and, depending on the image edge, you might get
* negative values or values greater than 1 for the left
or
* top
values.
*
* Returns a reference to this object so that method calls can be chained * together. * * @param boundingBox
* Identifies the bounding box around the label, face, text,
* object of interest, or personal protective equipment. The
* left
(x-coordinate) and top
* (y-coordinate) are coordinates representing the top and left
* sides of the bounding box. Note that the upper-left corner of
* the image is the origin (0,0).
*
* The top
and left
values returned are
* ratios of the overall image size. For example, if the input
* image is 700x200 pixels, and the top-left coordinate of the
* bounding box is 350x50 pixels, the API returns a
* left
value of 0.5 (350/700) and a
* top
value of 0.25 (50/200).
*
* The width
and height
values
* represent the dimensions of the bounding box as a ratio of the
* overall image dimension. For example, if the input image is
* 700x200 pixels, and the bounding box width is 70 pixels, the
* width returned is 0.1.
*
* The bounding box coordinates can have negative values. For
* example, if Amazon Rekognition is able to detect a face that
* is at the image edge and is only partially visible, the
* service can return coordinates that are outside the image
* bounds and, depending on the image edge, you might get
* negative values or values greater than 1 for the
* left
or top
values.
*