import * as tf from '@tensorflow/tfjs';
import { IndicatorService } from './indicator.service';
import { ModalService } from './modal.service';
import * as i0 from "@angular/core";
export interface ImageDetectionData {
    boxes_data: Array<number>;
    scores_data: Array<number>;
    classes_data: Array<number>;
    ratios: Array<number>;
}
export interface ImageSimpleDetData {
    tag: number;
    minX: number;
    minY: number;
    width: number;
    height: number;
    score: number;
}
export declare class ImagedetectionService {
    private indicatorSrv;
    private modalSrv;
    modelMaps: {
        [key: string]: any;
    };
    constructor(indicatorSrv: IndicatorService, modalSrv: ModalService);
    detect(modelId: string, source: any, numClass: number, showBussy?: boolean, showErrors?: boolean): Promise<Array<ImageSimpleDetData> | null>;
    processInputSource(source: any, localModel: any, numClass: any): Promise<Array<ImageSimpleDetData> | null>;
    processDetectedData(data: ImageDetectionData, widthP: number, heightP: number, callback: Function): void;
    mapToArray(mapa: any): any[];
    preprocess(source: any, modelWidth: any, modelHeight: any): any[];
    prepareModel(model: string): Promise<tf.GraphModel<string | tf.io.IOHandler>>;
    completeImagePath(path: string, suffix?: string): string;
    static ɵfac: i0.ɵɵFactoryDeclaration<ImagedetectionService, never>;
    static ɵprov: i0.ɵɵInjectableDeclaration<ImagedetectionService>;
}