/**
 * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * SPDX-License-Identifier: Apache-2.0.
 */

#pragma once
#include <aws/rekognition/Rekognition_EXPORTS.h>
#include <aws/core/utils/memory/stl/AWSVector.h>
#include <aws/rekognition/model/OrientationCorrection.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/rekognition/model/FaceRecord.h>
#include <aws/rekognition/model/UnindexedFace.h>
#include <utility>

namespace Aws
{
template<typename RESULT_TYPE>
class AmazonWebServiceResult;

namespace Utils
{
namespace Json
{
  class JsonValue;
} // namespace Json
} // namespace Utils
namespace Rekognition
{
namespace Model
{
  class IndexFacesResult
  {
  public:
    AWS_REKOGNITION_API IndexFacesResult();
    AWS_REKOGNITION_API IndexFacesResult(const Aws::AmazonWebServiceResult<Aws::Utils::Json::JsonValue>& result);
    AWS_REKOGNITION_API IndexFacesResult& operator=(const Aws::AmazonWebServiceResult<Aws::Utils::Json::JsonValue>& result);


    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline const Aws::Vector<FaceRecord>& GetFaceRecords() const{ return m_faceRecords; }

    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline void SetFaceRecords(const Aws::Vector<FaceRecord>& value) { m_faceRecords = value; }

    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline void SetFaceRecords(Aws::Vector<FaceRecord>&& value) { m_faceRecords = std::move(value); }

    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline IndexFacesResult& WithFaceRecords(const Aws::Vector<FaceRecord>& value) { SetFaceRecords(value); return *this;}

    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline IndexFacesResult& WithFaceRecords(Aws::Vector<FaceRecord>&& value) { SetFaceRecords(std::move(value)); return *this;}

    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline IndexFacesResult& AddFaceRecords(const FaceRecord& value) { m_faceRecords.push_back(value); return *this; }

    /**
     * <p>An array of faces detected and added to the collection. For more information,
     * see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
     * </p>
     */
    inline IndexFacesResult& AddFaceRecords(FaceRecord&& value) { m_faceRecords.push_back(std::move(value)); return *this; }


    /**
     * <p>If your collection is associated with a face detection model that's later
     * than version 3.0, the value of <code>OrientationCorrection</code> is always null
     * and no orientation information is returned.</p> <p>If your collection is
     * associated with a face detection model that's version 3.0 or earlier, the
     * following applies:</p> <ul> <li> <p>If the input image is in .jpeg format, it
     * might contain exchangeable image file format (Exif) metadata that includes the
     * image's orientation. Amazon Rekognition uses this orientation information to
     * perform image correction - the bounding box coordinates are translated to
     * represent object locations after the orientation information in the Exif
     * metadata is used to correct the image orientation. Images in .png format don't
     * contain Exif metadata. The value of <code>OrientationCorrection</code> is
     * null.</p> </li> <li> <p>If the image doesn't contain orientation information in
     * its Exif metadata, Amazon Rekognition returns an estimated orientation
     * (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t
     * perform image correction for images. The bounding box coordinates aren't
     * translated and represent the object locations before the image is rotated.</p>
     * </li> </ul> <p>Bounding box information is returned in the
     * <code>FaceRecords</code> array. You can get the version of the face detection
     * model by calling <a>DescribeCollection</a>. </p>
     */
    inline const OrientationCorrection& GetOrientationCorrection() const{ return m_orientationCorrection; }

    /**
     * <p>If your collection is associated with a face detection model that's later
     * than version 3.0, the value of <code>OrientationCorrection</code> is always null
     * and no orientation information is returned.</p> <p>If your collection is
     * associated with a face detection model that's version 3.0 or earlier, the
     * following applies:</p> <ul> <li> <p>If the input image is in .jpeg format, it
     * might contain exchangeable image file format (Exif) metadata that includes the
     * image's orientation. Amazon Rekognition uses this orientation information to
     * perform image correction - the bounding box coordinates are translated to
     * represent object locations after the orientation information in the Exif
     * metadata is used to correct the image orientation. Images in .png format don't
     * contain Exif metadata. The value of <code>OrientationCorrection</code> is
     * null.</p> </li> <li> <p>If the image doesn't contain orientation information in
     * its Exif metadata, Amazon Rekognition returns an estimated orientation
     * (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t
     * perform image correction for images. The bounding box coordinates aren't
     * translated and represent the object locations before the image is rotated.</p>
     * </li> </ul> <p>Bounding box information is returned in the
     * <code>FaceRecords</code> array. You can get the version of the face detection
     * model by calling <a>DescribeCollection</a>. </p>
     */
    inline void SetOrientationCorrection(const OrientationCorrection& value) { m_orientationCorrection = value; }

    /**
     * <p>If your collection is associated with a face detection model that's later
     * than version 3.0, the value of <code>OrientationCorrection</code> is always null
     * and no orientation information is returned.</p> <p>If your collection is
     * associated with a face detection model that's version 3.0 or earlier, the
     * following applies:</p> <ul> <li> <p>If the input image is in .jpeg format, it
     * might contain exchangeable image file format (Exif) metadata that includes the
     * image's orientation. Amazon Rekognition uses this orientation information to
     * perform image correction - the bounding box coordinates are translated to
     * represent object locations after the orientation information in the Exif
     * metadata is used to correct the image orientation. Images in .png format don't
     * contain Exif metadata. The value of <code>OrientationCorrection</code> is
     * null.</p> </li> <li> <p>If the image doesn't contain orientation information in
     * its Exif metadata, Amazon Rekognition returns an estimated orientation
     * (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t
     * perform image correction for images. The bounding box coordinates aren't
     * translated and represent the object locations before the image is rotated.</p>
     * </li> </ul> <p>Bounding box information is returned in the
     * <code>FaceRecords</code> array. You can get the version of the face detection
     * model by calling <a>DescribeCollection</a>. </p>
     */
    inline void SetOrientationCorrection(OrientationCorrection&& value) { m_orientationCorrection = std::move(value); }

    /**
     * <p>If your collection is associated with a face detection model that's later
     * than version 3.0, the value of <code>OrientationCorrection</code> is always null
     * and no orientation information is returned.</p> <p>If your collection is
     * associated with a face detection model that's version 3.0 or earlier, the
     * following applies:</p> <ul> <li> <p>If the input image is in .jpeg format, it
     * might contain exchangeable image file format (Exif) metadata that includes the
     * image's orientation. Amazon Rekognition uses this orientation information to
     * perform image correction - the bounding box coordinates are translated to
     * represent object locations after the orientation information in the Exif
     * metadata is used to correct the image orientation. Images in .png format don't
     * contain Exif metadata. The value of <code>OrientationCorrection</code> is
     * null.</p> </li> <li> <p>If the image doesn't contain orientation information in
     * its Exif metadata, Amazon Rekognition returns an estimated orientation
     * (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t
     * perform image correction for images. The bounding box coordinates aren't
     * translated and represent the object locations before the image is rotated.</p>
     * </li> </ul> <p>Bounding box information is returned in the
     * <code>FaceRecords</code> array. You can get the version of the face detection
     * model by calling <a>DescribeCollection</a>. </p>
     */
    inline IndexFacesResult& WithOrientationCorrection(const OrientationCorrection& value) { SetOrientationCorrection(value); return *this;}

    /**
     * <p>If your collection is associated with a face detection model that's later
     * than version 3.0, the value of <code>OrientationCorrection</code> is always null
     * and no orientation information is returned.</p> <p>If your collection is
     * associated with a face detection model that's version 3.0 or earlier, the
     * following applies:</p> <ul> <li> <p>If the input image is in .jpeg format, it
     * might contain exchangeable image file format (Exif) metadata that includes the
     * image's orientation. Amazon Rekognition uses this orientation information to
     * perform image correction - the bounding box coordinates are translated to
     * represent object locations after the orientation information in the Exif
     * metadata is used to correct the image orientation. Images in .png format don't
     * contain Exif metadata. The value of <code>OrientationCorrection</code> is
     * null.</p> </li> <li> <p>If the image doesn't contain orientation information in
     * its Exif metadata, Amazon Rekognition returns an estimated orientation
     * (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t
     * perform image correction for images. The bounding box coordinates aren't
     * translated and represent the object locations before the image is rotated.</p>
     * </li> </ul> <p>Bounding box information is returned in the
     * <code>FaceRecords</code> array. You can get the version of the face detection
     * model by calling <a>DescribeCollection</a>. </p>
     */
    inline IndexFacesResult& WithOrientationCorrection(OrientationCorrection&& value) { SetOrientationCorrection(std::move(value)); return *this;}


    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline const Aws::String& GetFaceModelVersion() const{ return m_faceModelVersion; }

    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline void SetFaceModelVersion(const Aws::String& value) { m_faceModelVersion = value; }

    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline void SetFaceModelVersion(Aws::String&& value) { m_faceModelVersion = std::move(value); }

    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline void SetFaceModelVersion(const char* value) { m_faceModelVersion.assign(value); }

    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline IndexFacesResult& WithFaceModelVersion(const Aws::String& value) { SetFaceModelVersion(value); return *this;}

    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline IndexFacesResult& WithFaceModelVersion(Aws::String&& value) { SetFaceModelVersion(std::move(value)); return *this;}

    /**
     * <p>The version number of the face detection model that's associated with the
     * input collection (<code>CollectionId</code>).</p>
     */
    inline IndexFacesResult& WithFaceModelVersion(const char* value) { SetFaceModelVersion(value); return *this;}


    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline const Aws::Vector<UnindexedFace>& GetUnindexedFaces() const{ return m_unindexedFaces; }

    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline void SetUnindexedFaces(const Aws::Vector<UnindexedFace>& value) { m_unindexedFaces = value; }

    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline void SetUnindexedFaces(Aws::Vector<UnindexedFace>&& value) { m_unindexedFaces = std::move(value); }

    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline IndexFacesResult& WithUnindexedFaces(const Aws::Vector<UnindexedFace>& value) { SetUnindexedFaces(value); return *this;}

    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline IndexFacesResult& WithUnindexedFaces(Aws::Vector<UnindexedFace>&& value) { SetUnindexedFaces(std::move(value)); return *this;}

    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline IndexFacesResult& AddUnindexedFaces(const UnindexedFace& value) { m_unindexedFaces.push_back(value); return *this; }

    /**
     * <p>An array of faces that were detected in the image but weren't indexed. They
     * weren't indexed because the quality filter identified them as low quality, or
     * the <code>MaxFaces</code> request parameter filtered them out. To use the
     * quality filter, you specify the <code>QualityFilter</code> request
     * parameter.</p>
     */
    inline IndexFacesResult& AddUnindexedFaces(UnindexedFace&& value) { m_unindexedFaces.push_back(std::move(value)); return *this; }


    
    inline const Aws::String& GetRequestId() const{ return m_requestId; }

    
    inline void SetRequestId(const Aws::String& value) { m_requestId = value; }

    
    inline void SetRequestId(Aws::String&& value) { m_requestId = std::move(value); }

    
    inline void SetRequestId(const char* value) { m_requestId.assign(value); }

    
    inline IndexFacesResult& WithRequestId(const Aws::String& value) { SetRequestId(value); return *this;}

    
    inline IndexFacesResult& WithRequestId(Aws::String&& value) { SetRequestId(std::move(value)); return *this;}

    
    inline IndexFacesResult& WithRequestId(const char* value) { SetRequestId(value); return *this;}

  private:

    Aws::Vector<FaceRecord> m_faceRecords;

    OrientationCorrection m_orientationCorrection;

    Aws::String m_faceModelVersion;

    Aws::Vector<UnindexedFace> m_unindexedFaces;

    Aws::String m_requestId;
  };

} // namespace Model
} // namespace Rekognition
} // namespace Aws