/* * 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; import com.amazonaws.AmazonWebServiceRequest; /** *

* Creates an Amazon Rekognition stream processor that you can use to detect and * recognize faces or to detect labels in a streaming video. *

*

* Amazon Rekognition Video is a consumer of live video from Amazon Kinesis * Video Streams. There are two different settings for stream processors in * Amazon Rekognition: detecting faces and detecting labels. *

* *

* Use Name to assign an identifier for the stream processor. You * use Name to manage the stream processor. For example, you can * start processing the source video by calling StartStreamProcessor with * the Name field. *

*

* This operation requires permissions to perform the * rekognition:CreateStreamProcessor action. If you want to tag * your stream processor, you also require permission to perform the * rekognition:TagResource operation. *

*/ public class CreateStreamProcessorRequest extends AmazonWebServiceRequest implements Serializable { /** *

* Kinesis video stream stream that provides the source streaming video. If * you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both face search * and label detection stream processors. *

*/ private StreamProcessorInput input; /** *

* Kinesis data stream stream or Amazon S3 bucket location to which Amazon * Rekognition Video puts the analysis results. If you are using the AWS * CLI, the parameter name is StreamProcessorOutput. This must * be a S3Destination of an Amazon S3 bucket that you own for a label * detection stream processor or a Kinesis data stream ARN for a face search * stream processor. *

*/ private StreamProcessorOutput output; /** *

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, you can * get the current status of the stream processor by calling * DescribeStreamProcessor. Name is idempotent. This is * required for both face search and label detection stream processors. *

*

* Constraints:
* Length: 1 - 128
* Pattern: [a-zA-Z0-9_.\-]+
*/ private String name; /** *

* Input parameters used in a streaming video analyzed by a stream * processor. You can use FaceSearch to recognize faces in a * streaming video, or you can use ConnectedHome to detect * labels. *

*/ private StreamProcessorSettings settings; /** *

* The Amazon Resource Number (ARN) of the IAM role that allows access to * the stream processor. The IAM role provides Rekognition read permissions * for a Kinesis stream. It also provides write permissions to an Amazon S3 * bucket and Amazon Simple Notification Service topic for a label detection * stream processor. This is required for both face search and label * detection stream processors. *

*

* Constraints:
* Pattern: arn:aws:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+
*/ private String roleArn; /** *

* A set of tags (key-value pairs) that you want to attach to the stream * processor. *

*/ private java.util.Map tags; /** *

* The Amazon Simple Notification Service topic to which Amazon Rekognition * publishes the object detection results and completion status of a video * analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an object of * interest or a person is detected in the video stream. For example, if * Amazon Rekognition detects a person at second 2, a pet at second 4, and a * person again at second 5, Amazon Rekognition sends 2 object class * detected notifications, one for a person at second 2 and one for a pet at * second 4. *

*

* Amazon Rekognition also publishes an an end-of-session notification with * a summary when the stream processing session is complete. *

*/ private StreamProcessorNotificationChannel notificationChannel; /** *

* The identifier for your AWS Key Management Service key (AWS KMS key). * This is an optional parameter for label detection stream processors and * should not be used to create a face search stream processor. You can * supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS * key, an alias for your KMS key, or an alias ARN. The key is used to * encrypt results and data published to your Amazon S3 bucket, which * includes image frames and hero images. Your source images are unaffected. *

*

*

*

* Constraints:
* Length: 1 - 2048
* Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
*/ private String kmsKeyId; /** *

* Specifies locations in the frames where Amazon Rekognition checks for * objects or people. You can specify up to 10 regions of interest, and each * region has either a polygon or a bounding box. This is an optional * parameter for label detection stream processors and should not be used to * create a face search stream processor. *

*/ private java.util.List regionsOfInterest; /** *

* Shows whether you are sharing data with Rekognition to improve model * performance. You can choose this option at the account level or on a * per-stream basis. Note that if you opt out at the account level this * setting is ignored on individual streams. *

*/ private StreamProcessorDataSharingPreference dataSharingPreference; /** *

* Kinesis video stream stream that provides the source streaming video. If * you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both face search * and label detection stream processors. *

* * @return

* Kinesis video stream stream that provides the source streaming * video. If you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both face * search and label detection stream processors. *

*/ public StreamProcessorInput getInput() { return input; } /** *

* Kinesis video stream stream that provides the source streaming video. If * you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both face search * and label detection stream processors. *

* * @param input

* Kinesis video stream stream that provides the source streaming * video. If you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both * face search and label detection stream processors. *

*/ public void setInput(StreamProcessorInput input) { this.input = input; } /** *

* Kinesis video stream stream that provides the source streaming video. If * you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both face search * and label detection stream processors. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param input

* Kinesis video stream stream that provides the source streaming * video. If you are using the AWS CLI, the parameter name is * StreamProcessorInput. This is required for both * face search and label detection stream processors. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withInput(StreamProcessorInput input) { this.input = input; return this; } /** *

* Kinesis data stream stream or Amazon S3 bucket location to which Amazon * Rekognition Video puts the analysis results. If you are using the AWS * CLI, the parameter name is StreamProcessorOutput. This must * be a S3Destination of an Amazon S3 bucket that you own for a label * detection stream processor or a Kinesis data stream ARN for a face search * stream processor. *

* * @return

* Kinesis data stream stream or Amazon S3 bucket location to which * Amazon Rekognition Video puts the analysis results. If you are * using the AWS CLI, the parameter name is * StreamProcessorOutput. This must be a * S3Destination of an Amazon S3 bucket that you own for a * label detection stream processor or a Kinesis data stream ARN for * a face search stream processor. *

*/ public StreamProcessorOutput getOutput() { return output; } /** *

* Kinesis data stream stream or Amazon S3 bucket location to which Amazon * Rekognition Video puts the analysis results. If you are using the AWS * CLI, the parameter name is StreamProcessorOutput. This must * be a S3Destination of an Amazon S3 bucket that you own for a label * detection stream processor or a Kinesis data stream ARN for a face search * stream processor. *

* * @param output

* Kinesis data stream stream or Amazon S3 bucket location to * which Amazon Rekognition Video puts the analysis results. If * you are using the AWS CLI, the parameter name is * StreamProcessorOutput. This must be a * S3Destination of an Amazon S3 bucket that you own for a * label detection stream processor or a Kinesis data stream ARN * for a face search stream processor. *

*/ public void setOutput(StreamProcessorOutput output) { this.output = output; } /** *

* Kinesis data stream stream or Amazon S3 bucket location to which Amazon * Rekognition Video puts the analysis results. If you are using the AWS * CLI, the parameter name is StreamProcessorOutput. This must * be a S3Destination of an Amazon S3 bucket that you own for a label * detection stream processor or a Kinesis data stream ARN for a face search * stream processor. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param output

* Kinesis data stream stream or Amazon S3 bucket location to * which Amazon Rekognition Video puts the analysis results. If * you are using the AWS CLI, the parameter name is * StreamProcessorOutput. This must be a * S3Destination of an Amazon S3 bucket that you own for a * label detection stream processor or a Kinesis data stream ARN * for a face search stream processor. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withOutput(StreamProcessorOutput output) { this.output = output; return this; } /** *

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, you can * get the current status of the stream processor by calling * DescribeStreamProcessor. Name is idempotent. This is * required for both face search and label detection stream processors. *

*

* Constraints:
* Length: 1 - 128
* Pattern: [a-zA-Z0-9_.\-]+
* * @return

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, * you can get the current status of the stream processor by calling * DescribeStreamProcessor. Name is idempotent. * This is required for both face search and label detection stream * processors. *

*/ public String getName() { return name; } /** *

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, you can * get the current status of the stream processor by calling * DescribeStreamProcessor. Name is idempotent. This is * required for both face search and label detection stream processors. *

*

* Constraints:
* Length: 1 - 128
* Pattern: [a-zA-Z0-9_.\-]+
* * @param name

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, * you can get the current status of the stream processor by * calling DescribeStreamProcessor. Name is * idempotent. This is required for both face search and label * detection stream processors. *

*/ public void setName(String name) { this.name = name; } /** *

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, you can * get the current status of the stream processor by calling * DescribeStreamProcessor. Name is idempotent. This is * required for both face search and label detection stream processors. *

*

* Returns a reference to this object so that method calls can be chained * together. *

* Constraints:
* Length: 1 - 128
* Pattern: [a-zA-Z0-9_.\-]+
* * @param name

* An identifier you assign to the stream processor. You can use * Name to manage the stream processor. For example, * you can get the current status of the stream processor by * calling DescribeStreamProcessor. Name is * idempotent. This is required for both face search and label * detection stream processors. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withName(String name) { this.name = name; return this; } /** *

* Input parameters used in a streaming video analyzed by a stream * processor. You can use FaceSearch to recognize faces in a * streaming video, or you can use ConnectedHome to detect * labels. *

* * @return

* Input parameters used in a streaming video analyzed by a stream * processor. You can use FaceSearch to recognize faces * in a streaming video, or you can use ConnectedHome * to detect labels. *

*/ public StreamProcessorSettings getSettings() { return settings; } /** *

* Input parameters used in a streaming video analyzed by a stream * processor. You can use FaceSearch to recognize faces in a * streaming video, or you can use ConnectedHome to detect * labels. *

* * @param settings

* Input parameters used in a streaming video analyzed by a * stream processor. You can use FaceSearch to * recognize faces in a streaming video, or you can use * ConnectedHome to detect labels. *

*/ public void setSettings(StreamProcessorSettings settings) { this.settings = settings; } /** *

* Input parameters used in a streaming video analyzed by a stream * processor. You can use FaceSearch to recognize faces in a * streaming video, or you can use ConnectedHome to detect * labels. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param settings

* Input parameters used in a streaming video analyzed by a * stream processor. You can use FaceSearch to * recognize faces in a streaming video, or you can use * ConnectedHome to detect labels. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withSettings(StreamProcessorSettings settings) { this.settings = settings; return this; } /** *

* The Amazon Resource Number (ARN) of the IAM role that allows access to * the stream processor. The IAM role provides Rekognition read permissions * for a Kinesis stream. It also provides write permissions to an Amazon S3 * bucket and Amazon Simple Notification Service topic for a label detection * stream processor. This is required for both face search and label * detection stream processors. *

*

* Constraints:
* Pattern: arn:aws:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+
* * @return

* The Amazon Resource Number (ARN) of the IAM role that allows * access to the stream processor. The IAM role provides Rekognition * read permissions for a Kinesis stream. It also provides write * permissions to an Amazon S3 bucket and Amazon Simple Notification * Service topic for a label detection stream processor. This is * required for both face search and label detection stream * processors. *

*/ public String getRoleArn() { return roleArn; } /** *

* The Amazon Resource Number (ARN) of the IAM role that allows access to * the stream processor. The IAM role provides Rekognition read permissions * for a Kinesis stream. It also provides write permissions to an Amazon S3 * bucket and Amazon Simple Notification Service topic for a label detection * stream processor. This is required for both face search and label * detection stream processors. *

*

* Constraints:
* Pattern: arn:aws:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+
* * @param roleArn

* The Amazon Resource Number (ARN) of the IAM role that allows * access to the stream processor. The IAM role provides * Rekognition read permissions for a Kinesis stream. It also * provides write permissions to an Amazon S3 bucket and Amazon * Simple Notification Service topic for a label detection stream * processor. This is required for both face search and label * detection stream processors. *

*/ public void setRoleArn(String roleArn) { this.roleArn = roleArn; } /** *

* The Amazon Resource Number (ARN) of the IAM role that allows access to * the stream processor. The IAM role provides Rekognition read permissions * for a Kinesis stream. It also provides write permissions to an Amazon S3 * bucket and Amazon Simple Notification Service topic for a label detection * stream processor. This is required for both face search and label * detection stream processors. *

*

* Returns a reference to this object so that method calls can be chained * together. *

* Constraints:
* Pattern: arn:aws:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+
* * @param roleArn

* The Amazon Resource Number (ARN) of the IAM role that allows * access to the stream processor. The IAM role provides * Rekognition read permissions for a Kinesis stream. It also * provides write permissions to an Amazon S3 bucket and Amazon * Simple Notification Service topic for a label detection stream * processor. This is required for both face search and label * detection stream processors. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withRoleArn(String roleArn) { this.roleArn = roleArn; return this; } /** *

* A set of tags (key-value pairs) that you want to attach to the stream * processor. *

* * @return

* A set of tags (key-value pairs) that you want to attach to the * stream processor. *

*/ public java.util.Map getTags() { return tags; } /** *

* A set of tags (key-value pairs) that you want to attach to the stream * processor. *

* * @param tags

* A set of tags (key-value pairs) that you want to attach to the * stream processor. *

*/ public void setTags(java.util.Map tags) { this.tags = tags; } /** *

* A set of tags (key-value pairs) that you want to attach to the stream * processor. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param tags

* A set of tags (key-value pairs) that you want to attach to the * stream processor. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withTags(java.util.Map tags) { this.tags = tags; return this; } /** *

* A set of tags (key-value pairs) that you want to attach to the stream * processor. *

*

* The method adds a new key-value pair into Tags parameter, and returns a * reference to this object so that method calls can be chained together. * * @param key The key of the entry to be added into Tags. * @param value The corresponding value of the entry to be added into Tags. * @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest addTagsEntry(String key, String value) { if (null == this.tags) { this.tags = new java.util.HashMap(); } if (this.tags.containsKey(key)) throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided."); this.tags.put(key, value); return this; } /** * Removes all the entries added into Tags. *

* Returns a reference to this object so that method calls can be chained * together. */ public CreateStreamProcessorRequest clearTagsEntries() { this.tags = null; return this; } /** *

* The Amazon Simple Notification Service topic to which Amazon Rekognition * publishes the object detection results and completion status of a video * analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an object of * interest or a person is detected in the video stream. For example, if * Amazon Rekognition detects a person at second 2, a pet at second 4, and a * person again at second 5, Amazon Rekognition sends 2 object class * detected notifications, one for a person at second 2 and one for a pet at * second 4. *

*

* Amazon Rekognition also publishes an an end-of-session notification with * a summary when the stream processing session is complete. *

* * @return

* The Amazon Simple Notification Service topic to which Amazon * Rekognition publishes the object detection results and completion * status of a video analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an * object of interest or a person is detected in the video stream. * For example, if Amazon Rekognition detects a person at second 2, * a pet at second 4, and a person again at second 5, Amazon * Rekognition sends 2 object class detected notifications, one for * a person at second 2 and one for a pet at second 4. *

*

* Amazon Rekognition also publishes an an end-of-session * notification with a summary when the stream processing session is * complete. *

*/ public StreamProcessorNotificationChannel getNotificationChannel() { return notificationChannel; } /** *

* The Amazon Simple Notification Service topic to which Amazon Rekognition * publishes the object detection results and completion status of a video * analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an object of * interest or a person is detected in the video stream. For example, if * Amazon Rekognition detects a person at second 2, a pet at second 4, and a * person again at second 5, Amazon Rekognition sends 2 object class * detected notifications, one for a person at second 2 and one for a pet at * second 4. *

*

* Amazon Rekognition also publishes an an end-of-session notification with * a summary when the stream processing session is complete. *

* * @param notificationChannel

* The Amazon Simple Notification Service topic to which Amazon * Rekognition publishes the object detection results and * completion status of a video analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an * object of interest or a person is detected in the video * stream. For example, if Amazon Rekognition detects a person at * second 2, a pet at second 4, and a person again at second 5, * Amazon Rekognition sends 2 object class detected * notifications, one for a person at second 2 and one for a pet * at second 4. *

*

* Amazon Rekognition also publishes an an end-of-session * notification with a summary when the stream processing session * is complete. *

*/ public void setNotificationChannel(StreamProcessorNotificationChannel notificationChannel) { this.notificationChannel = notificationChannel; } /** *

* The Amazon Simple Notification Service topic to which Amazon Rekognition * publishes the object detection results and completion status of a video * analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an object of * interest or a person is detected in the video stream. For example, if * Amazon Rekognition detects a person at second 2, a pet at second 4, and a * person again at second 5, Amazon Rekognition sends 2 object class * detected notifications, one for a person at second 2 and one for a pet at * second 4. *

*

* Amazon Rekognition also publishes an an end-of-session notification with * a summary when the stream processing session is complete. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param notificationChannel

* The Amazon Simple Notification Service topic to which Amazon * Rekognition publishes the object detection results and * completion status of a video analysis operation. *

*

* Amazon Rekognition publishes a notification the first time an * object of interest or a person is detected in the video * stream. For example, if Amazon Rekognition detects a person at * second 2, a pet at second 4, and a person again at second 5, * Amazon Rekognition sends 2 object class detected * notifications, one for a person at second 2 and one for a pet * at second 4. *

*

* Amazon Rekognition also publishes an an end-of-session * notification with a summary when the stream processing session * is complete. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withNotificationChannel( StreamProcessorNotificationChannel notificationChannel) { this.notificationChannel = notificationChannel; return this; } /** *

* The identifier for your AWS Key Management Service key (AWS KMS key). * This is an optional parameter for label detection stream processors and * should not be used to create a face search stream processor. You can * supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS * key, an alias for your KMS key, or an alias ARN. The key is used to * encrypt results and data published to your Amazon S3 bucket, which * includes image frames and hero images. Your source images are unaffected. *

*

*

*

* Constraints:
* Length: 1 - 2048
* Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
* * @return

* The identifier for your AWS Key Management Service key (AWS KMS * key). This is an optional parameter for label detection stream * processors and should not be used to create a face search stream * processor. You can supply the Amazon Resource Name (ARN) of your * KMS key, the ID of your KMS key, an alias for your KMS key, or an * alias ARN. The key is used to encrypt results and data published * to your Amazon S3 bucket, which includes image frames and hero * images. Your source images are unaffected. *

*

*

*/ public String getKmsKeyId() { return kmsKeyId; } /** *

* The identifier for your AWS Key Management Service key (AWS KMS key). * This is an optional parameter for label detection stream processors and * should not be used to create a face search stream processor. You can * supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS * key, an alias for your KMS key, or an alias ARN. The key is used to * encrypt results and data published to your Amazon S3 bucket, which * includes image frames and hero images. Your source images are unaffected. *

*

*

*

* Constraints:
* Length: 1 - 2048
* Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
* * @param kmsKeyId

* The identifier for your AWS Key Management Service key (AWS * KMS key). This is an optional parameter for label detection * stream processors and should not be used to create a face * search stream processor. You can supply the Amazon Resource * Name (ARN) of your KMS key, the ID of your KMS key, an alias * for your KMS key, or an alias ARN. The key is used to encrypt * results and data published to your Amazon S3 bucket, which * includes image frames and hero images. Your source images are * unaffected. *

*

*

*/ public void setKmsKeyId(String kmsKeyId) { this.kmsKeyId = kmsKeyId; } /** *

* The identifier for your AWS Key Management Service key (AWS KMS key). * This is an optional parameter for label detection stream processors and * should not be used to create a face search stream processor. You can * supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS * key, an alias for your KMS key, or an alias ARN. The key is used to * encrypt results and data published to your Amazon S3 bucket, which * includes image frames and hero images. Your source images are unaffected. *

*

*

*

* Returns a reference to this object so that method calls can be chained * together. *

* Constraints:
* Length: 1 - 2048
* Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
* * @param kmsKeyId

* The identifier for your AWS Key Management Service key (AWS * KMS key). This is an optional parameter for label detection * stream processors and should not be used to create a face * search stream processor. You can supply the Amazon Resource * Name (ARN) of your KMS key, the ID of your KMS key, an alias * for your KMS key, or an alias ARN. The key is used to encrypt * results and data published to your Amazon S3 bucket, which * includes image frames and hero images. Your source images are * unaffected. *

*

*

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withKmsKeyId(String kmsKeyId) { this.kmsKeyId = kmsKeyId; return this; } /** *

* Specifies locations in the frames where Amazon Rekognition checks for * objects or people. You can specify up to 10 regions of interest, and each * region has either a polygon or a bounding box. This is an optional * parameter for label detection stream processors and should not be used to * create a face search stream processor. *

* * @return

* Specifies locations in the frames where Amazon Rekognition checks * for objects or people. You can specify up to 10 regions of * interest, and each region has either a polygon or a bounding box. * This is an optional parameter for label detection stream * processors and should not be used to create a face search stream * processor. *

*/ public java.util.List getRegionsOfInterest() { return regionsOfInterest; } /** *

* Specifies locations in the frames where Amazon Rekognition checks for * objects or people. You can specify up to 10 regions of interest, and each * region has either a polygon or a bounding box. This is an optional * parameter for label detection stream processors and should not be used to * create a face search stream processor. *

* * @param regionsOfInterest

* Specifies locations in the frames where Amazon Rekognition * checks for objects or people. You can specify up to 10 regions * of interest, and each region has either a polygon or a * bounding box. This is an optional parameter for label * detection stream processors and should not be used to create a * face search stream processor. *

*/ public void setRegionsOfInterest(java.util.Collection regionsOfInterest) { if (regionsOfInterest == null) { this.regionsOfInterest = null; return; } this.regionsOfInterest = new java.util.ArrayList(regionsOfInterest); } /** *

* Specifies locations in the frames where Amazon Rekognition checks for * objects or people. You can specify up to 10 regions of interest, and each * region has either a polygon or a bounding box. This is an optional * parameter for label detection stream processors and should not be used to * create a face search stream processor. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param regionsOfInterest

* Specifies locations in the frames where Amazon Rekognition * checks for objects or people. You can specify up to 10 regions * of interest, and each region has either a polygon or a * bounding box. This is an optional parameter for label * detection stream processors and should not be used to create a * face search stream processor. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withRegionsOfInterest(RegionOfInterest... regionsOfInterest) { if (getRegionsOfInterest() == null) { this.regionsOfInterest = new java.util.ArrayList( regionsOfInterest.length); } for (RegionOfInterest value : regionsOfInterest) { this.regionsOfInterest.add(value); } return this; } /** *

* Specifies locations in the frames where Amazon Rekognition checks for * objects or people. You can specify up to 10 regions of interest, and each * region has either a polygon or a bounding box. This is an optional * parameter for label detection stream processors and should not be used to * create a face search stream processor. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param regionsOfInterest

* Specifies locations in the frames where Amazon Rekognition * checks for objects or people. You can specify up to 10 regions * of interest, and each region has either a polygon or a * bounding box. This is an optional parameter for label * detection stream processors and should not be used to create a * face search stream processor. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withRegionsOfInterest( java.util.Collection regionsOfInterest) { setRegionsOfInterest(regionsOfInterest); return this; } /** *

* Shows whether you are sharing data with Rekognition to improve model * performance. You can choose this option at the account level or on a * per-stream basis. Note that if you opt out at the account level this * setting is ignored on individual streams. *

* * @return

* Shows whether you are sharing data with Rekognition to improve * model performance. You can choose this option at the account * level or on a per-stream basis. Note that if you opt out at the * account level this setting is ignored on individual streams. *

*/ public StreamProcessorDataSharingPreference getDataSharingPreference() { return dataSharingPreference; } /** *

* Shows whether you are sharing data with Rekognition to improve model * performance. You can choose this option at the account level or on a * per-stream basis. Note that if you opt out at the account level this * setting is ignored on individual streams. *

* * @param dataSharingPreference

* Shows whether you are sharing data with Rekognition to improve * model performance. You can choose this option at the account * level or on a per-stream basis. Note that if you opt out at * the account level this setting is ignored on individual * streams. *

*/ public void setDataSharingPreference(StreamProcessorDataSharingPreference dataSharingPreference) { this.dataSharingPreference = dataSharingPreference; } /** *

* Shows whether you are sharing data with Rekognition to improve model * performance. You can choose this option at the account level or on a * per-stream basis. Note that if you opt out at the account level this * setting is ignored on individual streams. *

*

* Returns a reference to this object so that method calls can be chained * together. * * @param dataSharingPreference

* Shows whether you are sharing data with Rekognition to improve * model performance. You can choose this option at the account * level or on a per-stream basis. Note that if you opt out at * the account level this setting is ignored on individual * streams. *

* @return A reference to this updated object so that method calls can be * chained together. */ public CreateStreamProcessorRequest withDataSharingPreference( StreamProcessorDataSharingPreference dataSharingPreference) { this.dataSharingPreference = dataSharingPreference; return this; } /** * Returns a string representation of this object; useful for testing and * debugging. * * @return A string representation of this object. * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getInput() != null) sb.append("Input: " + getInput() + ","); if (getOutput() != null) sb.append("Output: " + getOutput() + ","); if (getName() != null) sb.append("Name: " + getName() + ","); if (getSettings() != null) sb.append("Settings: " + getSettings() + ","); if (getRoleArn() != null) sb.append("RoleArn: " + getRoleArn() + ","); if (getTags() != null) sb.append("Tags: " + getTags() + ","); if (getNotificationChannel() != null) sb.append("NotificationChannel: " + getNotificationChannel() + ","); if (getKmsKeyId() != null) sb.append("KmsKeyId: " + getKmsKeyId() + ","); if (getRegionsOfInterest() != null) sb.append("RegionsOfInterest: " + getRegionsOfInterest() + ","); if (getDataSharingPreference() != null) sb.append("DataSharingPreference: " + getDataSharingPreference()); sb.append("}"); return sb.toString(); } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getInput() == null) ? 0 : getInput().hashCode()); hashCode = prime * hashCode + ((getOutput() == null) ? 0 : getOutput().hashCode()); hashCode = prime * hashCode + ((getName() == null) ? 0 : getName().hashCode()); hashCode = prime * hashCode + ((getSettings() == null) ? 0 : getSettings().hashCode()); hashCode = prime * hashCode + ((getRoleArn() == null) ? 0 : getRoleArn().hashCode()); hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode()); hashCode = prime * hashCode + ((getNotificationChannel() == null) ? 0 : getNotificationChannel().hashCode()); hashCode = prime * hashCode + ((getKmsKeyId() == null) ? 0 : getKmsKeyId().hashCode()); hashCode = prime * hashCode + ((getRegionsOfInterest() == null) ? 0 : getRegionsOfInterest().hashCode()); hashCode = prime * hashCode + ((getDataSharingPreference() == null) ? 0 : getDataSharingPreference().hashCode()); return hashCode; } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof CreateStreamProcessorRequest == false) return false; CreateStreamProcessorRequest other = (CreateStreamProcessorRequest) obj; if (other.getInput() == null ^ this.getInput() == null) return false; if (other.getInput() != null && other.getInput().equals(this.getInput()) == false) return false; if (other.getOutput() == null ^ this.getOutput() == null) return false; if (other.getOutput() != null && other.getOutput().equals(this.getOutput()) == false) return false; if (other.getName() == null ^ this.getName() == null) return false; if (other.getName() != null && other.getName().equals(this.getName()) == false) return false; if (other.getSettings() == null ^ this.getSettings() == null) return false; if (other.getSettings() != null && other.getSettings().equals(this.getSettings()) == false) return false; if (other.getRoleArn() == null ^ this.getRoleArn() == null) return false; if (other.getRoleArn() != null && other.getRoleArn().equals(this.getRoleArn()) == false) return false; if (other.getTags() == null ^ this.getTags() == null) return false; if (other.getTags() != null && other.getTags().equals(this.getTags()) == false) return false; if (other.getNotificationChannel() == null ^ this.getNotificationChannel() == null) return false; if (other.getNotificationChannel() != null && other.getNotificationChannel().equals(this.getNotificationChannel()) == false) return false; if (other.getKmsKeyId() == null ^ this.getKmsKeyId() == null) return false; if (other.getKmsKeyId() != null && other.getKmsKeyId().equals(this.getKmsKeyId()) == false) return false; if (other.getRegionsOfInterest() == null ^ this.getRegionsOfInterest() == null) return false; if (other.getRegionsOfInterest() != null && other.getRegionsOfInterest().equals(this.getRegionsOfInterest()) == false) return false; if (other.getDataSharingPreference() == null ^ this.getDataSharingPreference() == null) return false; if (other.getDataSharingPreference() != null && other.getDataSharingPreference().equals(this.getDataSharingPreference()) == false) return false; return true; } }