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The AWS Java SDK for Amazon Lookout for Vision module holds the client classes that are used for communicating with Amazon Lookout for Vision Service
/*
* Copyright 2018-2023 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.lookoutforvision.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Statistics about the images in a dataset.
*
*
* @see AWS
* API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class DatasetImageStats implements Serializable, Cloneable, StructuredPojo {
/**
*
* The total number of images in the dataset.
*
*/
private Integer total;
/**
*
* The total number of labeled images.
*
*/
private Integer labeled;
/**
*
* The total number of images labeled as normal.
*
*/
private Integer normal;
/**
*
* the total number of images labeled as an anomaly.
*
*/
private Integer anomaly;
/**
*
* The total number of images in the dataset.
*
*
* @param total
* The total number of images in the dataset.
*/
public void setTotal(Integer total) {
this.total = total;
}
/**
*
* The total number of images in the dataset.
*
*
* @return The total number of images in the dataset.
*/
public Integer getTotal() {
return this.total;
}
/**
*
* The total number of images in the dataset.
*
*
* @param total
* The total number of images in the dataset.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DatasetImageStats withTotal(Integer total) {
setTotal(total);
return this;
}
/**
*
* The total number of labeled images.
*
*
* @param labeled
* The total number of labeled images.
*/
public void setLabeled(Integer labeled) {
this.labeled = labeled;
}
/**
*
* The total number of labeled images.
*
*
* @return The total number of labeled images.
*/
public Integer getLabeled() {
return this.labeled;
}
/**
*
* The total number of labeled images.
*
*
* @param labeled
* The total number of labeled images.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DatasetImageStats withLabeled(Integer labeled) {
setLabeled(labeled);
return this;
}
/**
*
* The total number of images labeled as normal.
*
*
* @param normal
* The total number of images labeled as normal.
*/
public void setNormal(Integer normal) {
this.normal = normal;
}
/**
*
* The total number of images labeled as normal.
*
*
* @return The total number of images labeled as normal.
*/
public Integer getNormal() {
return this.normal;
}
/**
*
* The total number of images labeled as normal.
*
*
* @param normal
* The total number of images labeled as normal.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DatasetImageStats withNormal(Integer normal) {
setNormal(normal);
return this;
}
/**
*
* the total number of images labeled as an anomaly.
*
*
* @param anomaly
* the total number of images labeled as an anomaly.
*/
public void setAnomaly(Integer anomaly) {
this.anomaly = anomaly;
}
/**
*
* the total number of images labeled as an anomaly.
*
*
* @return the total number of images labeled as an anomaly.
*/
public Integer getAnomaly() {
return this.anomaly;
}
/**
*
* the total number of images labeled as an anomaly.
*
*
* @param anomaly
* the total number of images labeled as an anomaly.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DatasetImageStats withAnomaly(Integer anomaly) {
setAnomaly(anomaly);
return this;
}
/**
* 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.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getTotal() != null)
sb.append("Total: ").append(getTotal()).append(",");
if (getLabeled() != null)
sb.append("Labeled: ").append(getLabeled()).append(",");
if (getNormal() != null)
sb.append("Normal: ").append(getNormal()).append(",");
if (getAnomaly() != null)
sb.append("Anomaly: ").append(getAnomaly());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof DatasetImageStats == false)
return false;
DatasetImageStats other = (DatasetImageStats) obj;
if (other.getTotal() == null ^ this.getTotal() == null)
return false;
if (other.getTotal() != null && other.getTotal().equals(this.getTotal()) == false)
return false;
if (other.getLabeled() == null ^ this.getLabeled() == null)
return false;
if (other.getLabeled() != null && other.getLabeled().equals(this.getLabeled()) == false)
return false;
if (other.getNormal() == null ^ this.getNormal() == null)
return false;
if (other.getNormal() != null && other.getNormal().equals(this.getNormal()) == false)
return false;
if (other.getAnomaly() == null ^ this.getAnomaly() == null)
return false;
if (other.getAnomaly() != null && other.getAnomaly().equals(this.getAnomaly()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getTotal() == null) ? 0 : getTotal().hashCode());
hashCode = prime * hashCode + ((getLabeled() == null) ? 0 : getLabeled().hashCode());
hashCode = prime * hashCode + ((getNormal() == null) ? 0 : getNormal().hashCode());
hashCode = prime * hashCode + ((getAnomaly() == null) ? 0 : getAnomaly().hashCode());
return hashCode;
}
@Override
public DatasetImageStats clone() {
try {
return (DatasetImageStats) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.lookoutforvision.model.transform.DatasetImageStatsMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}
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