/* * 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; /** *

* Describes updates or additions to a dataset. A Single update or addition is * an entry (JSON Line) that provides information about a single image. To * update an existing entry, you match the source-ref field of the * update entry with the source-ref filed of the entry that you * want to update. If the source-ref field doesn't match an * existing entry, the entry is added to dataset as a new entry. *

*/ public class DatasetChanges implements Serializable { /** *

* A Base64-encoded binary data object containing one or JSON lines that * either update the dataset or are additions to the dataset. You change a * dataset by calling UpdateDatasetEntries. If you are using an AWS * SDK to call UpdateDatasetEntries, you don't need to encode * Changes as the SDK encodes the data for you. *

*

* For example JSON lines, see Image-Level labels in manifest files and and * Object localization in manifest files in the Amazon Rekognition Custom * Labels Developer Guide. *

*

* Constraints:
* Length: 1 - 5242880
*/ private java.nio.ByteBuffer groundTruth; /** *

* A Base64-encoded binary data object containing one or JSON lines that * either update the dataset or are additions to the dataset. You change a * dataset by calling UpdateDatasetEntries. If you are using an AWS * SDK to call UpdateDatasetEntries, you don't need to encode * Changes as the SDK encodes the data for you. *

*

* For example JSON lines, see Image-Level labels in manifest files and and * Object localization in manifest files in the Amazon Rekognition Custom * Labels Developer Guide. *

*

* Constraints:
* Length: 1 - 5242880
* * @return

* A Base64-encoded binary data object containing one or JSON lines * that either update the dataset or are additions to the dataset. * You change a dataset by calling UpdateDatasetEntries. If * you are using an AWS SDK to call * UpdateDatasetEntries, you don't need to encode * Changes as the SDK encodes the data for you. *

*

* For example JSON lines, see Image-Level labels in manifest files * and and Object localization in manifest files in the Amazon * Rekognition Custom Labels Developer Guide. *

*/ public java.nio.ByteBuffer getGroundTruth() { return groundTruth; } /** *

* A Base64-encoded binary data object containing one or JSON lines that * either update the dataset or are additions to the dataset. You change a * dataset by calling UpdateDatasetEntries. If you are using an AWS * SDK to call UpdateDatasetEntries, you don't need to encode * Changes as the SDK encodes the data for you. *

*

* For example JSON lines, see Image-Level labels in manifest files and and * Object localization in manifest files in the Amazon Rekognition Custom * Labels Developer Guide. *

*

* Constraints:
* Length: 1 - 5242880
* * @param groundTruth

* A Base64-encoded binary data object containing one or JSON * lines that either update the dataset or are additions to the * dataset. You change a dataset by calling * UpdateDatasetEntries. If you are using an AWS SDK to * call UpdateDatasetEntries, you don't need to * encode Changes as the SDK encodes the data for * you. *

*

* For example JSON lines, see Image-Level labels in manifest * files and and Object localization in manifest files in the * Amazon Rekognition Custom Labels Developer Guide. *

*/ public void setGroundTruth(java.nio.ByteBuffer groundTruth) { this.groundTruth = groundTruth; } /** *

* A Base64-encoded binary data object containing one or JSON lines that * either update the dataset or are additions to the dataset. You change a * dataset by calling UpdateDatasetEntries. If you are using an AWS * SDK to call UpdateDatasetEntries, you don't need to encode * Changes as the SDK encodes the data for you. *

*

* For example JSON lines, see Image-Level labels in manifest files and and * Object localization in manifest files in the Amazon Rekognition Custom * Labels Developer Guide. *

*

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

* Constraints:
* Length: 1 - 5242880
* * @param groundTruth

* A Base64-encoded binary data object containing one or JSON * lines that either update the dataset or are additions to the * dataset. You change a dataset by calling * UpdateDatasetEntries. If you are using an AWS SDK to * call UpdateDatasetEntries, you don't need to * encode Changes as the SDK encodes the data for * you. *

*

* For example JSON lines, see Image-Level labels in manifest * files and and Object localization in manifest files in the * Amazon Rekognition Custom Labels Developer Guide. *

* @return A reference to this updated object so that method calls can be * chained together. */ public DatasetChanges withGroundTruth(java.nio.ByteBuffer groundTruth) { this.groundTruth = groundTruth; 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 (getGroundTruth() != null) sb.append("GroundTruth: " + getGroundTruth()); sb.append("}"); return sb.toString(); } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getGroundTruth() == null) ? 0 : getGroundTruth().hashCode()); return hashCode; } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof DatasetChanges == false) return false; DatasetChanges other = (DatasetChanges) obj; if (other.getGroundTruth() == null ^ this.getGroundTruth() == null) return false; if (other.getGroundTruth() != null && other.getGroundTruth().equals(this.getGroundTruth()) == false) return false; return true; } }