/**
 * @license
 * Copyright 2021 Google LLC. 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.
 * You may obtain a copy of the License at
 *
 * https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License 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.
 * =============================================================================
 */
import { BlazePoseMediaPipeEstimationConfig } from './blazepose_mediapipe/types';
import { BlazePoseTfjsEstimationConfig } from './blazepose_tfjs/types';
import { MoveNetEstimationConfig } from './movenet/types';
import { PoseNetEstimationConfig } from './posenet/types';
import { Pose, PoseDetectorInput } from './types';
/**
 * User-facing interface for all pose detectors.
 */
export interface PoseDetector {
    /**
     * Estimate poses for an image or video frame.
     * @param image An image or video frame.
     * @param config Optional. See `EstimationConfig` for available options.
     * @param timestamp Optional. In milliseconds. This is useful when image is
     *     a tensor, which doesn't have timestamp info. Or to override timestamp
     *     in a video.
     * @returns An array of poses, each pose contains an array of `Keypoint`s.
     */
    estimatePoses(image: PoseDetectorInput, config?: PoseNetEstimationConfig | BlazePoseTfjsEstimationConfig | BlazePoseMediaPipeEstimationConfig | MoveNetEstimationConfig, timestamp?: number): Promise<Pose[]>;
    /**
     * Dispose the underlying models from memory.
     */
    dispose(): void;
    /**
     * Reset global states in the model.
     */
    reset(): void;
}