import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { GetFaceDetectionRequest, GetFaceDetectionResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link GetFaceDetectionCommand}.
 */
export interface GetFaceDetectionCommandInput extends GetFaceDetectionRequest {
}
/**
 * @public
 *
 * The output of {@link GetFaceDetectionCommand}.
 */
export interface GetFaceDetectionCommandOutput extends GetFaceDetectionResponse, __MetadataBearer {
}
declare const GetFaceDetectionCommand_base: {
    new (input: GetFaceDetectionCommandInput): import("@smithy/core/client").CommandImpl<GetFaceDetectionCommandInput, GetFaceDetectionCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: GetFaceDetectionCommandInput): import("@smithy/core/client").CommandImpl<GetFaceDetectionCommandInput, GetFaceDetectionCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Gets face detection results for a Amazon Rekognition Video analysis started by <a>StartFaceDetection</a>.</p>
 *          <p>Face detection with Amazon Rekognition Video is an asynchronous operation. You start face detection by calling <a>StartFaceDetection</a>
 *      which returns a job identifier (<code>JobId</code>). When the face detection operation finishes, Amazon Rekognition Video publishes a completion status to
 *      the Amazon Simple Notification Service topic registered in the initial call to <code>StartFaceDetection</code>. To get the results
 *      of the face detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>.
 *      If so, call  <a>GetFaceDetection</a> and pass the job identifier
 *      (<code>JobId</code>) from the initial call to <code>StartFaceDetection</code>.</p>
 *          <p>
 *             <code>GetFaceDetection</code> returns an array of detected faces (<code>Faces</code>) sorted by the time the faces were detected. </p>
 *          <p>Use MaxResults parameter to limit the number of labels returned. If there are more results than
 *    specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set
 *    of results. To get the next page of results, call <code>GetFaceDetection</code> and populate the <code>NextToken</code> request parameter with the token
 *     value returned from the previous call to <code>GetFaceDetection</code>.</p>
 *          <p>Note that for the <code>GetFaceDetection</code> operation, the returned values for
 *         <code>FaceOccluded</code> and <code>EyeDirection</code> will always be "null".</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { RekognitionClient, GetFaceDetectionCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, GetFaceDetectionCommand } = require("@aws-sdk/client-rekognition"); // CommonJS import
 * // import type { RekognitionClientConfig } from "@aws-sdk/client-rekognition";
 * const config = {}; // type is RekognitionClientConfig
 * const client = new RekognitionClient(config);
 * const input = { // GetFaceDetectionRequest
 *   JobId: "STRING_VALUE", // required
 *   MaxResults: Number("int"),
 *   NextToken: "STRING_VALUE",
 * };
 * const command = new GetFaceDetectionCommand(input);
 * const response = await client.send(command);
 * // { // GetFaceDetectionResponse
 * //   JobStatus: "IN_PROGRESS" || "SUCCEEDED" || "FAILED",
 * //   StatusMessage: "STRING_VALUE",
 * //   VideoMetadata: { // VideoMetadata
 * //     Codec: "STRING_VALUE",
 * //     DurationMillis: Number("long"),
 * //     Format: "STRING_VALUE",
 * //     FrameRate: Number("float"),
 * //     FrameHeight: Number("long"),
 * //     FrameWidth: Number("long"),
 * //     ColorRange: "FULL" || "LIMITED",
 * //   },
 * //   NextToken: "STRING_VALUE",
 * //   Faces: [ // FaceDetections
 * //     { // FaceDetection
 * //       Timestamp: Number("long"),
 * //       Face: { // FaceDetail
 * //         BoundingBox: { // BoundingBox
 * //           Width: Number("float"),
 * //           Height: Number("float"),
 * //           Left: Number("float"),
 * //           Top: Number("float"),
 * //         },
 * //         AgeRange: { // AgeRange
 * //           Low: Number("int"),
 * //           High: Number("int"),
 * //         },
 * //         Smile: { // Smile
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         Eyeglasses: { // Eyeglasses
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         Sunglasses: { // Sunglasses
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         Gender: { // Gender
 * //           Value: "Male" || "Female",
 * //           Confidence: Number("float"),
 * //         },
 * //         Beard: { // Beard
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         Mustache: { // Mustache
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         EyesOpen: { // EyeOpen
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         MouthOpen: { // MouthOpen
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         Emotions: [ // Emotions
 * //           { // Emotion
 * //             Type: "HAPPY" || "SAD" || "ANGRY" || "CONFUSED" || "DISGUSTED" || "SURPRISED" || "CALM" || "UNKNOWN" || "FEAR",
 * //             Confidence: Number("float"),
 * //           },
 * //         ],
 * //         Landmarks: [ // Landmarks
 * //           { // Landmark
 * //             Type: "eyeLeft" || "eyeRight" || "nose" || "mouthLeft" || "mouthRight" || "leftEyeBrowLeft" || "leftEyeBrowRight" || "leftEyeBrowUp" || "rightEyeBrowLeft" || "rightEyeBrowRight" || "rightEyeBrowUp" || "leftEyeLeft" || "leftEyeRight" || "leftEyeUp" || "leftEyeDown" || "rightEyeLeft" || "rightEyeRight" || "rightEyeUp" || "rightEyeDown" || "noseLeft" || "noseRight" || "mouthUp" || "mouthDown" || "leftPupil" || "rightPupil" || "upperJawlineLeft" || "midJawlineLeft" || "chinBottom" || "midJawlineRight" || "upperJawlineRight",
 * //             X: Number("float"),
 * //             Y: Number("float"),
 * //           },
 * //         ],
 * //         Pose: { // Pose
 * //           Roll: Number("float"),
 * //           Yaw: Number("float"),
 * //           Pitch: Number("float"),
 * //         },
 * //         Quality: { // ImageQuality
 * //           Brightness: Number("float"),
 * //           Sharpness: Number("float"),
 * //         },
 * //         Confidence: Number("float"),
 * //         FaceOccluded: { // FaceOccluded
 * //           Value: true || false,
 * //           Confidence: Number("float"),
 * //         },
 * //         EyeDirection: { // EyeDirection
 * //           Yaw: Number("float"),
 * //           Pitch: Number("float"),
 * //           Confidence: Number("float"),
 * //         },
 * //       },
 * //     },
 * //   ],
 * //   JobId: "STRING_VALUE",
 * //   Video: { // Video
 * //     S3Object: { // S3Object
 * //       Bucket: "STRING_VALUE",
 * //       Name: "STRING_VALUE",
 * //       Version: "STRING_VALUE",
 * //     },
 * //   },
 * //   JobTag: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param GetFaceDetectionCommandInput - {@link GetFaceDetectionCommandInput}
 * @returns {@link GetFaceDetectionCommandOutput}
 * @see {@link GetFaceDetectionCommandInput} for command's `input` shape.
 * @see {@link GetFaceDetectionCommandOutput} for command's `response` shape.
 * @see {@link RekognitionClientResolvedConfig | config} for RekognitionClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>You are not authorized to perform the action.</p>
 *
 * @throws {@link InternalServerError} (server fault)
 *  <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
 *
 * @throws {@link InvalidPaginationTokenException} (client fault)
 *  <p>Pagination token in the request is not valid.</p>
 *
 * @throws {@link InvalidParameterException} (client fault)
 *  <p>Input parameter violated a constraint. Validate your parameter before calling the API
 *       operation again.</p>
 *
 * @throws {@link ProvisionedThroughputExceededException} (client fault)
 *  <p>The number of requests exceeded your throughput limit. If you want to increase this
 *       limit, contact Amazon Rekognition.</p>
 *
 * @throws {@link ResourceNotFoundException} (client fault)
 *  <p>The resource specified in the request cannot be found.</p>
 *
 * @throws {@link ThrottlingException} (server fault)
 *  <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
 *
 * @throws {@link RekognitionServiceException}
 * <p>Base exception class for all service exceptions from Rekognition service.</p>
 *
 *
 * @public
 */
export declare class GetFaceDetectionCommand extends GetFaceDetectionCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: GetFaceDetectionRequest;
            output: GetFaceDetectionResponse;
        };
        sdk: {
            input: GetFaceDetectionCommandInput;
            output: GetFaceDetectionCommandOutput;
        };
    };
}