@idscan/idvc2/dist/types/neural models/generalTypeDetectionYoloModel.d.ts

component for the capturing documents

/// <reference types="onnxruntime-web" />
import NeuralModel from './neuralModel';
import { Provider } from './Provider';
import type { ISize } from '../helpers/ts/common';
import type { GeneralTypeExitYolo } from './generalTypeYolo/exits';
import type { Bbox } from '../types/geometry';
declare const modelConfig: {
    confidence: number;
    predictConfidence: number;
    classes: string[];
    inputImageWidth: number;
    inputImageHeight: number;
    inputTensorSize: number[];
    inputTensorName: string;
    outputTensorSize: number[];
    outputTensorName: string;
    predictLength: number;
    padding: number;
    documentFramePadding: number;
};
export type InterpretYoloDetectionResult = {
    side: GeneralTypeExitYolo;
    bbox: Bbox;
    perimeterInPercents: ISize;
    isDocumentInsideFrame: boolean;
    isHasFaceOnDocument: boolean;
};
export declare class GeneralTypeDetectionYoloModel extends NeuralModel {
    private canvasSize;
    private documentPredictLabelIndex;
    private documentPredictConfidenceIndex;
    constructor(url?: string, provider?: Provider, wasmPaths?: string);
    private setSizes;
    private findHighestConfidencePredict;
    predictFromImage(input: HTMLCanvasElement | HTMLImageElement | ImageData, dstCanvas?: HTMLCanvasElement, modelConfigParam?: typeof modelConfig): Promise<Record<string, unknown> | InterpretYoloDetectionResult>;
    private interpret;
    predict(rgb: Uint8Array, modelConfigParam: typeof modelConfig): Promise<import("onnxruntime-web").InferenceSession.OnnxValueMapType>;
}
export {};