/**
 * @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
 *
 * http://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 { PartWithScore } from '../types';
import { MaxHeap } from './max_heap';
/**
 * Builds a priority queue with part candidate positions for a specific image in
 * the batch. For this we find all local maxima in the score maps with score
 * values above a threshold. We create a single priority queue across all parts.
 */
export declare function buildPartWithScoreQueue(scoreThreshold: number, localMaximumRadius: number, scores: tf.TensorBuffer<tf.Rank.R3>): MaxHeap<PartWithScore>;