import '@tensorflow/tfjs-core';
import '@tensorflow/tfjs-backend-webgl';
import { BaseDetector } from './base-detector';
import { MediaElement, DetectionOptions, Point3D } from '../types/types';
/**
 * Configuration for MediaPipe Face Mesh landmark detection model
 */
export interface LandmarkDetectorConfig {
    runtime: 'mediapipe' | 'tfjs';
    refineLandmarks: boolean;
    maxFaces: number;
    staticImageMode?: boolean;
    flipHorizontal?: boolean;
}
/**
 * Face detection result with full mesh
 */
export interface FaceLandmarkResult {
    meshPoints: Point3D[];
}
/**
 * Responsible for detecting facial landmarks using the MediaPipe Face Mesh model
 */
export declare class LandmarkDetector extends BaseDetector {
    private detector;
    private config;
    /**
     * Creates a new landmark detector
     */
    constructor(options?: DetectionOptions);
    /**
     * Ensures the detector is loaded before use
     */
    private ensureDetectorLoaded;
    /**
     * Maps TensorFlow.js model keypoints to our standard Point3D format
     */
    private processTensorflowKeypoints;
    /**
     * Detects the full facial mesh in an image or video
     */
    detectLandmarks(input: MediaElement): Promise<Array<FaceLandmarkResult>>;
    /**
     * Called when options are updated
     */
    protected onOptionsUpdated(): void;
    /**
     * Called for model preloading/warmup
     */
    protected onWarmup(): Promise<void>;
    /**
     * Called when the detector is disposed
     */
    protected onDispose(): void;
}