/**
 * @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 cocoSsd from '@tensorflow-models/coco-ssd';
import { TaskModelLoader } from '../../task_model';
import { Runtime, Task, TFJSModelCommonLoadingOption } from '../common';
import { ObjectDetectionResult, ObjectDetector } from './common';
declare type CocoSsdNS = typeof cocoSsd;
/** Loading options. */
export interface CocoSsdTFJSLoadingOptions extends TFJSModelCommonLoadingOption, cocoSsd.ModelConfig {
}
/** Inference options. */
export interface CocoSsdTFJSInferenceOptions {
    /**
     * The maximum number of bounding boxes of detected objects. There can be
     * multiple objects of the same class, but at different locations. Defaults
     * to 20.
     */
    maxNumBoxes?: number;
    /**
     * The minimum score of the returned bounding boxes of detected objects. Value
     * between 0 and 1. Defaults to 0.5.
     */
    minScore?: number;
}
/** Loader for cocossd TFJS model. */
export declare class CocoSsdTFJSLoader extends TaskModelLoader<CocoSsdNS, CocoSsdTFJSLoadingOptions, CocoSsdTFJS> {
    readonly metadata: {
        name: string;
        description: string;
        resourceUrls: {
            'github': string;
        };
        runtime: Runtime;
        version: string;
        supportedTasks: Task[];
    };
    readonly packageUrls: string[][];
    readonly sourceModelGlobalNamespace = "cocoSsd";
    protected transformSourceModel(sourceModelGlobal: CocoSsdNS, loadingOptions?: CocoSsdTFJSLoadingOptions): Promise<CocoSsdTFJS>;
}
/**
 * Pre-trained TFJS coco-ssd model.
 *
 * Usage:
 *
 * ```js
 * // Load the model with options (optional).
 * //
 * // By default, it uses lite_mobilenet_v2 as the base model with webgl
 * // backend. You can change them in the `options` parameter of the `load`
 * // function (see below for docs).
 * const model = await tfTask.ObjectDetection.CocoSsd.TFJS.load();
 *
 * // Run detection on an image with options (optional).
 * const img = document.querySelector('img');
 * const result = await model.predict(img, {numMaxBoxes: 5});
 * console.log(result.objects);
 *
 * // Clean up.
 * model.cleanUp();
 * ```
 *
 * Refer to `tfTask.ObjectDetector` for the `predict` and `cleanUp` method.
 *
 * @docextratypes [
 *   {description: 'Options for `load`', symbol: 'CocoSsdTFJSLoadingOptions'},
 *   {description: 'Options for `predict`', symbol:
 * 'CocoSsdTFJSInferenceOptions'}
 * ]
 *
 * @doc {heading: 'Object Detection', subheading: 'Models'}
 */
export declare class CocoSsdTFJS extends ObjectDetector<CocoSsdTFJSInferenceOptions> {
    private cocoSsdModel?;
    private loadingOptions?;
    constructor(cocoSsdModel?: cocoSsd.ObjectDetection, loadingOptions?: CocoSsdTFJSLoadingOptions);
    predict(img: ImageData | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement, infereceOptions?: CocoSsdTFJSInferenceOptions): Promise<ObjectDetectionResult>;
    cleanUp(): void;
}
export declare const cocoSsdTfjsLoader: CocoSsdTFJSLoader;
export {};