/**
 * @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 { TensorsToDetectionsConfig } from './interfaces/config_interfaces';
import { AnchorTensor, Detection } from './interfaces/shape_interfaces';
/**
 * Convert result Tensors from object detection models into Detection boxes.
 *
 * @param detectionTensors List of Tensors of type Float32. The list of tensors
 *     can have 2 or 3 tensors. First tensor is the predicted raw
 *     boxes/keypoints. The size of the values must be
 *     (num_boxes * num_predicted_values). Second tensor is the score tensor.
 *     The size of the valuse must be (num_boxes * num_classes). It's optional
 *     to pass in a third tensor for anchors (e.g. for SSD models) depend on the
 *     outputs of the detection model. The size of anchor tensor must be
 *     (num_boxes * 4).
 * @param anchor A tensor for anchors. The size of anchor tensor must be
 *     (num_boxes * 4).
 * @param config
 */
export declare function tensorsToDetections(detectionTensors: [tf.Tensor1D, tf.Tensor2D], anchor: AnchorTensor, config: TensorsToDetectionsConfig): Promise<Detection[]>;
export declare function convertToDetections(detectionBoxes: tf.Tensor2D, detectionScore: tf.Tensor1D, config: TensorsToDetectionsConfig): Promise<Detection[]>;