* The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* The minimum level of confidence in the face matches that a match must meet to be included in the
* FaceMatches array.
*
* A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't
* compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify
* LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the
* chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur
* for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or
* a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The
* default value is NONE.
*
* To use quality filtering, the collection you are using must be associated with version 3 of the face model or * higher. *
*/ private String qualityFilter; /** ** The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes
* passed using the Bytes field. For more information, see Images in the Amazon Rekognition
* developer guide.
*/
public void setSourceImage(Image sourceImage) {
this.sourceImage = sourceImage;
}
/**
*
* The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes
* passed using the Bytes field. For more information, see Images in the Amazon Rekognition
* developer guide.
*/
public Image getSourceImage() {
return this.sourceImage;
}
/**
*
* The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes
* passed using the Bytes field. For more information, see Images in the Amazon Rekognition
* developer guide.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CompareFacesRequest withSourceImage(Image sourceImage) {
setSourceImage(sourceImage);
return this;
}
/**
*
* The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes
* passed using the Bytes field. For more information, see Images in the Amazon Rekognition
* developer guide.
*/
public void setTargetImage(Image targetImage) {
this.targetImage = targetImage;
}
/**
*
* The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes
* passed using the Bytes field. For more information, see Images in the Amazon Rekognition
* developer guide.
*/
public Image getTargetImage() {
return this.targetImage;
}
/**
*
* The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition * operations, passing base64-encoded image bytes is not supported. *
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed
* using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
*
* If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes
* passed using the Bytes field. For more information, see Images in the Amazon Rekognition
* developer guide.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CompareFacesRequest withTargetImage(Image targetImage) {
setTargetImage(targetImage);
return this;
}
/**
*
* The minimum level of confidence in the face matches that a match must meet to be included in the
* FaceMatches array.
*
FaceMatches array.
*/
public void setSimilarityThreshold(Float similarityThreshold) {
this.similarityThreshold = similarityThreshold;
}
/**
*
* The minimum level of confidence in the face matches that a match must meet to be included in the
* FaceMatches array.
*
FaceMatches array.
*/
public Float getSimilarityThreshold() {
return this.similarityThreshold;
}
/**
*
* The minimum level of confidence in the face matches that a match must meet to be included in the
* FaceMatches array.
*
FaceMatches array.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CompareFacesRequest withSimilarityThreshold(Float similarityThreshold) {
setSimilarityThreshold(similarityThreshold);
return this;
}
/**
*
* A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't
* compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify
* LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the
* chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur
* for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or
* a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The
* default value is NONE.
*
* To use quality filtering, the collection you are using must be associated with version 3 of the face model or * higher. *
* * @param qualityFilter * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces * aren't compared. If you specifyAUTO, Amazon Rekognition chooses the quality bar. If you
* specify LOW, MEDIUM, or HIGH, filtering removes all faces that
* don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality
* detections can occur for a number of reasons. Some examples are an object that's misidentified as a face,
* a face that's too blurry, or a face with a pose that's too extreme to use. If you specify
* NONE, no filtering is performed. The default value is NONE.
* * To use quality filtering, the collection you are using must be associated with version 3 of the face model * or higher. * @see QualityFilter */ public void setQualityFilter(String qualityFilter) { this.qualityFilter = qualityFilter; } /** *
* A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't
* compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify
* LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the
* chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur
* for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or
* a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The
* default value is NONE.
*
* To use quality filtering, the collection you are using must be associated with version 3 of the face model or * higher. *
* * @return A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces * aren't compared. If you specifyAUTO, Amazon Rekognition chooses the quality bar. If you
* specify LOW, MEDIUM, or HIGH, filtering removes all faces that
* don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality
* detections can occur for a number of reasons. Some examples are an object that's misidentified as a face,
* a face that's too blurry, or a face with a pose that's too extreme to use. If you specify
* NONE, no filtering is performed. The default value is NONE.
* * To use quality filtering, the collection you are using must be associated with version 3 of the face * model or higher. * @see QualityFilter */ public String getQualityFilter() { return this.qualityFilter; } /** *
* A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't
* compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify
* LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the
* chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur
* for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or
* a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The
* default value is NONE.
*
* To use quality filtering, the collection you are using must be associated with version 3 of the face model or * higher. *
* * @param qualityFilter * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces * aren't compared. If you specifyAUTO, Amazon Rekognition chooses the quality bar. If you
* specify LOW, MEDIUM, or HIGH, filtering removes all faces that
* don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality
* detections can occur for a number of reasons. Some examples are an object that's misidentified as a face,
* a face that's too blurry, or a face with a pose that's too extreme to use. If you specify
* NONE, no filtering is performed. The default value is NONE.
* * To use quality filtering, the collection you are using must be associated with version 3 of the face model * or higher. * @return Returns a reference to this object so that method calls can be chained together. * @see QualityFilter */ public CompareFacesRequest withQualityFilter(String qualityFilter) { setQualityFilter(qualityFilter); return this; } /** *
* A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't
* compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify
* LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the
* chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur
* for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or
* a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The
* default value is NONE.
*
* To use quality filtering, the collection you are using must be associated with version 3 of the face model or * higher. *
* * @param qualityFilter * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces * aren't compared. If you specifyAUTO, Amazon Rekognition chooses the quality bar. If you
* specify LOW, MEDIUM, or HIGH, filtering removes all faces that
* don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality
* detections can occur for a number of reasons. Some examples are an object that's misidentified as a face,
* a face that's too blurry, or a face with a pose that's too extreme to use. If you specify
* NONE, no filtering is performed. The default value is NONE.
* * To use quality filtering, the collection you are using must be associated with version 3 of the face model * or higher. * @return Returns a reference to this object so that method calls can be chained together. * @see QualityFilter */ public CompareFacesRequest withQualityFilter(QualityFilter qualityFilter) { this.qualityFilter = qualityFilter.toString(); 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 (getSourceImage() != null) sb.append("SourceImage: ").append(getSourceImage()).append(","); if (getTargetImage() != null) sb.append("TargetImage: ").append(getTargetImage()).append(","); if (getSimilarityThreshold() != null) sb.append("SimilarityThreshold: ").append(getSimilarityThreshold()).append(","); if (getQualityFilter() != null) sb.append("QualityFilter: ").append(getQualityFilter()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof CompareFacesRequest == false) return false; CompareFacesRequest other = (CompareFacesRequest) obj; if (other.getSourceImage() == null ^ this.getSourceImage() == null) return false; if (other.getSourceImage() != null && other.getSourceImage().equals(this.getSourceImage()) == false) return false; if (other.getTargetImage() == null ^ this.getTargetImage() == null) return false; if (other.getTargetImage() != null && other.getTargetImage().equals(this.getTargetImage()) == false) return false; if (other.getSimilarityThreshold() == null ^ this.getSimilarityThreshold() == null) return false; if (other.getSimilarityThreshold() != null && other.getSimilarityThreshold().equals(this.getSimilarityThreshold()) == false) return false; if (other.getQualityFilter() == null ^ this.getQualityFilter() == null) return false; if (other.getQualityFilter() != null && other.getQualityFilter().equals(this.getQualityFilter()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getSourceImage() == null) ? 0 : getSourceImage().hashCode()); hashCode = prime * hashCode + ((getTargetImage() == null) ? 0 : getTargetImage().hashCode()); hashCode = prime * hashCode + ((getSimilarityThreshold() == null) ? 0 : getSimilarityThreshold().hashCode()); hashCode = prime * hashCode + ((getQualityFilter() == null) ? 0 : getQualityFilter().hashCode()); return hashCode; } @Override public CompareFacesRequest clone() { return (CompareFacesRequest) super.clone(); } }