/*
* Copyright 2010-2016 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;
/**
* <p>
* Describes the face properties such as the bounding box, face ID, image ID of
* the source image, and external image ID that you assigned.
* </p>
*/
public class Face implements Serializable {
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*/
private String faceId;
/**
* <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code> (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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 <code>left</code> value of 0.5 (350/700) and a
* <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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 <code>left</code> or
* <code>top</code> values.
* </p>
* </note>
*/
private BoundingBox boundingBox;
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the source image.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*/
private String imageId;
/**
* <p>
* Identifier that you assign to all the faces in the input image.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - 255<br/>
* <b>Pattern: </b>[a-zA-Z0-9_.\-:]+<br/>
*/
private String externalImageId;
/**
* <p>
* Confidence level that the bounding box contains a face (and not a
* different object such as a tree).
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>0 - 100<br/>
*/
private Float confidence;
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*
* @return <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
*/
public String getFaceId() {
return faceId;
}
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*
* @param faceId <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
*/
public void setFaceId(String faceId) {
this.faceId = faceId;
}
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*
* @param faceId <p>
* Unique identifier that Amazon Rekognition assigns to the face.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Face withFaceId(String faceId) {
this.faceId = faceId;
return this;
}
/**
* <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code> (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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 <code>left</code> value of 0.5 (350/700) and a
* <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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 <code>left</code> or
* <code>top</code> values.
* </p>
* </note>
*
* @return <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code>
* (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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 <code>left</code> value
* of 0.5 (350/700) and a <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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 <code>left</code> or
* <code>top</code> values.
* </p>
* </note>
*/
public BoundingBox getBoundingBox() {
return boundingBox;
}
/**
* <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code> (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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 <code>left</code> value of 0.5 (350/700) and a
* <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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 <code>left</code> or
* <code>top</code> values.
* </p>
* </note>
*
* @param boundingBox <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code>
* (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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
* <code>left</code> value of 0.5 (350/700) and a
* <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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
* <code>left</code> or <code>top</code> values.
* </p>
* </note>
*/
public void setBoundingBox(BoundingBox boundingBox) {
this.boundingBox = boundingBox;
}
/**
* <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code> (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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 <code>left</code> value of 0.5 (350/700) and a
* <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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 <code>left</code> or
* <code>top</code> values.
* </p>
* </note>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
*
* @param boundingBox <p>
* Identifies the bounding box around the object or face. The
* <code>left</code> (x-coordinate) and <code>top</code>
* (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).
* </p>
* <p>
* The <code>top</code> and <code>left</code> 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
* <code>left</code> value of 0.5 (350/700) and a
* <code>top</code> value of 0.25 (50/200).
* </p>
* <p>
* The <code>width</code> and <code>height</code> 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.
* </p>
* <note>
* <p>
* 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
* <code>left</code> or <code>top</code> values.
* </p>
* </note>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Face withBoundingBox(BoundingBox boundingBox) {
this.boundingBox = boundingBox;
return this;
}
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the source image.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*
* @return <p>
* Unique identifier that Amazon Rekognition assigns to the source
* image.
* </p>
*/
public String getImageId() {
return imageId;
}
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the source image.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*
* @param imageId <p>
* Unique identifier that Amazon Rekognition assigns to the
* source image.
* </p>
*/
public void setImageId(String imageId) {
this.imageId = imageId;
}
/**
* <p>
* Unique identifier that Amazon Rekognition assigns to the source image.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
* <p>
* <b>Constraints:</b><br/>
* <b>Pattern:
* </b>[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}<br/>
*
* @param imageId <p>
* Unique identifier that Amazon Rekognition assigns to the
* source image.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Face withImageId(String imageId) {
this.imageId = imageId;
return this;
}
/**
* <p>
* Identifier that you assign to all the faces in the input image.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - 255<br/>
* <b>Pattern: </b>[a-zA-Z0-9_.\-:]+<br/>
*
* @return <p>
* Identifier that you assign to all the faces in the input image.
* </p>
*/
public String getExternalImageId() {
return externalImageId;
}
/**
* <p>
* Identifier that you assign to all the faces in the input image.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - 255<br/>
* <b>Pattern: </b>[a-zA-Z0-9_.\-:]+<br/>
*
* @param externalImageId <p>
* Identifier that you assign to all the faces in the input
* image.
* </p>
*/
public void setExternalImageId(String externalImageId) {
this.externalImageId = externalImageId;
}
/**
* <p>
* Identifier that you assign to all the faces in the input image.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - 255<br/>
* <b>Pattern: </b>[a-zA-Z0-9_.\-:]+<br/>
*
* @param externalImageId <p>
* Identifier that you assign to all the faces in the input
* image.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Face withExternalImageId(String externalImageId) {
this.externalImageId = externalImageId;
return this;
}
/**
* <p>
* Confidence level that the bounding box contains a face (and not a
* different object such as a tree).
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>0 - 100<br/>
*
* @return <p>
* Confidence level that the bounding box contains a face (and not a
* different object such as a tree).
* </p>
*/
public Float getConfidence() {
return confidence;
}
/**
* <p>
* Confidence level that the bounding box contains a face (and not a
* different object such as a tree).
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>0 - 100<br/>
*
* @param confidence <p>
* Confidence level that the bounding box contains a face (and
* not a different object such as a tree).
* </p>
*/
public void setConfidence(Float confidence) {
this.confidence = confidence;
}
/**
* <p>
* Confidence level that the bounding box contains a face (and not a
* different object such as a tree).
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>0 - 100<br/>
*
* @param confidence <p>
* Confidence level that the bounding box contains a face (and
* not a different object such as a tree).
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Face withConfidence(Float confidence) {
this.confidence = confidence;
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 (getFaceId() != null)
sb.append("FaceId: " + getFaceId() + ",");
if (getBoundingBox() != null)
sb.append("BoundingBox: " + getBoundingBox() + ",");
if (getImageId() != null)
sb.append("ImageId: " + getImageId() + ",");
if (getExternalImageId() != null)
sb.append("ExternalImageId: " + getExternalImageId() + ",");
if (getConfidence() != null)
sb.append("Confidence: " + getConfidence());
sb.append("}");
return sb.toString();
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getFaceId() == null) ? 0 : getFaceId().hashCode());
hashCode = prime * hashCode
+ ((getBoundingBox() == null) ? 0 : getBoundingBox().hashCode());
hashCode = prime * hashCode + ((getImageId() == null) ? 0 : getImageId().hashCode());
hashCode = prime * hashCode
+ ((getExternalImageId() == null) ? 0 : getExternalImageId().hashCode());
hashCode = prime * hashCode + ((getConfidence() == null) ? 0 : getConfidence().hashCode());
return hashCode;
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof Face == false)
return false;
Face other = (Face) obj;
if (other.getFaceId() == null ^ this.getFaceId() == null)
return false;
if (other.getFaceId() != null && other.getFaceId().equals(this.getFaceId()) == false)
return false;
if (other.getBoundingBox() == null ^ this.getBoundingBox() == null)
return false;
if (other.getBoundingBox() != null
&& other.getBoundingBox().equals(this.getBoundingBox()) == false)
return false;
if (other.getImageId() == null ^ this.getImageId() == null)
return false;
if (other.getImageId() != null && other.getImageId().equals(this.getImageId()) == false)
return false;
if (other.getExternalImageId() == null ^ this.getExternalImageId() == null)
return false;
if (other.getExternalImageId() != null
&& other.getExternalImageId().equals(this.getExternalImageId()) == false)
return false;
if (other.getConfidence() == null ^ this.getConfidence() == null)
return false;
if (other.getConfidence() != null
&& other.getConfidence().equals(this.getConfidence()) == false)
return false;
return true;
}
}