import { OnlineProcessingConfig } from "./OnlineProcessingConfig"; import { Scenario } from "../info/DocReaderScenario"; import { Lights } from "../results/visual_results/Lights"; /** * Image processing configuration. */ export declare class RecognizeConfig { /** * Documents processing scenario. */ readonly scenario?: Scenario; /** * Configuration class for online processing. * * Requires network connection. */ readonly onlineProcessingConfig?: OnlineProcessingConfig; /** * Image for processing. Base64 string. */ image?: string; /** * Images for processing. Array of base64 strings. */ images?: string[]; /** * Binary for processing. Base64 string. */ data?: string; /** * Binaries for processing. Array of base64 strings. */ dataList?: string[]; /** * Images(with input data) for processing. */ imageInputData?: ImageInputData[]; /** * DTC file for processing. Base64 string. */ dtc?: string; /** * Live portrait photo. * * Requires network connection. */ livePortrait?: string; /** * Portrait photo from an external source. * * Requires network connection. */ extPortrait?: string; /** * This parameter is for processing an image that contains a person and * a document and compare the portrait photo from the document with * the person's face. It works only in the single-frame processing, * but not in the video frame processing. Requires network connection. * @default false */ oneShotIdentification: boolean; private constructor(); static withScenario( scenario: Scenario, options?: { image?: string, images?: string[], data?: string, dataList?: string[], imageInputData?: ImageInputData[], dtc?: string, livePortrait?: string, extPortrait?: string, oneShotIdentification?: boolean, } ): RecognizeConfig; static withOnlineProcessingConfig( onlineProcessingConfig: OnlineProcessingConfig, options?: { image?: string, images?: string[], data?: string, dataList?: string[], imageInputData?: ImageInputData[], dtc?: string, livePortrait?: string, extPortrait?: string, oneShotIdentification?: boolean, } ): RecognizeConfig; } export declare class ImageInputData { /** * An image. Base64 string. */ readonly image: string; /** * Light type, one of RGLGraphicFieldLight values. * @default {@link Lights.WHITE_FULL} */ light: Lights; /** * An index of the document page whence the graphic field is extracted. * @default 0 */ pageIndex: number; constructor(image: string, options?: { light?: Lights, pageIndex?: number }); }