import type { InferenceSession } from "onnxruntime-common";
import type { CoreCanvas, PlatformProvider } from "../core/platform.js";
import { Base } from "../global.interface.js";
/**
 * Configuration options for face recognition models
 */
export interface RecognitionModelOptions {
    /** Model input and output sizes */
    size: {
        /** Input tensor shape [batch, height, width, channels] */
        input: [number, number, number, number];
        /** Output tensor shape [batch, embedding_size] */
        output: [number, number];
    };
}
/**
 * Face recognition result containing embedding vector
 */
export interface RecognitionResult {
    /** Face embedding vector */
    embedding: Float32Array;
}
/**
 * Base class for face recognition models
 */
export declare abstract class BaseRecognition extends Base {
    /** Class name for logging */
    protected abstract className: string;
    /** Path to the model file */
    protected abstract modelPath: string;
    /** Recognition configuration options */
    protected abstract recognitionOptions: RecognitionModelOptions;
    /** ONNX inference session */
    protected abstract session: InferenceSession | null;
    constructor(platform?: PlatformProvider);
    /** Initializes the recognition model */
    abstract initialize(): Promise<void>;
    /**
     * Generates face embedding from image
     * @param image - Input image as ArrayBuffer or Canvas
     * @returns Recognition result with embedding
     */
    abstract recognize(image: ArrayBuffer | CoreCanvas): Promise<RecognitionResult>;
    /**
     * Preprocesses image for model inference
     * @param canvas - Input canvas
     * @returns Preprocessed tensor
     */
    abstract preprocess(canvas: CoreCanvas): Float32Array;
    /**
     * Runs model inference
     * @param tensor - Preprocessed input tensor
     * @returns Model outputs
     */
    abstract inference(tensor: Float32Array): Promise<InferenceSession.OnnxValueMapType>;
    /**
     * Extracts embedding from model outputs
     * @param outputs - Raw model outputs
     * @returns Face embedding vector
     */
    abstract postprocess(outputs: InferenceSession.OnnxValueMapType): Float32Array;
    /** Releases model resources */
    abstract destroy(): Promise<void>;
    /**
     * Checks if the model has been initialized
     * @returns True if initialized
     */
    protected isInitialized(): boolean;
}