/**
 * @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 * as tf from '@tensorflow/tfjs-core';
import { Keypoint } from './interfaces/common_interfaces';
import { TensorsToLandmarksConfig } from './interfaces/config_interfaces';
/**
 * A calculator for converting Tensors from regression models into landmarks.
 * Note that if the landmarks in the tensor has more than 5 dimensions, only the
 * first 5 dimensions will be converted to [x,y,z, visibility, presence]. The
 * latter two fields may also stay unset if such attributes are not supported in
 * the model.
 * @param landmarkTensor List of Tensors of type float32. Only the first tensor
 * will be used. The size of the values must be (num_dimension x num_landmarks).
 * @param flipHorizontally Optional. Whether to flip landmarks horizontally or
 * not. Overrides corresponding field in config.
 * @param flipVertically Optional. Whether to flip landmarks vertically or not.
 * Overrides corresponding field in config.
 *
 * @param config
 *
 * @returns Normalized landmarks.
 */
export declare function tensorsToLandmarks(landmarkTensor: tf.Tensor, config: TensorsToLandmarksConfig, flipHorizontally?: boolean, flipVertically?: boolean): Promise<Keypoint[]>;