/**
 * Core type definitions for face detection
 */
/**
 * 2D point
 */
export interface Point {
    x: number;
    y: number;
}
/**
 * 3D point
 */
export interface Point3D extends Point {
    z: number;
}
/**
 * Bounding box
 */
export interface Box {
    x: number;
    y: number;
    width: number;
    height: number;
}
/**
 * Supported input types
 */
export declare enum InputType {
    IMAGE = "image",
    VIDEO = "video",
    CANVAS = "canvas"
}
/**
 * Supported model types
 */
export declare enum ModelType {
    MEDIAPIPE_FACE = "mediapipe",
    SHORT = "short",
    FULL = "full"
}
/**
 * TensorFlow runtime
 */
export type TensorFlowRuntime = 'tfjs' | 'mediapipe' | 'tflite';
/**
 * Supported input elements
 */
export type MediaElement = HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | NodeCanvasElement;
/**
 * Node.js Canvas Element
 */
export interface NodeCanvasElement {
    width: number;
    height: number;
    getContext(contextId: string): CanvasRenderingContext2D | null;
    toBuffer(mime?: string, config?: unknown): Buffer;
}
/**
 * Supported environments
 */
export type Environment = 'browser' | 'node';
/**
 * Detection configuration options
 */
export interface DetectionOptions {
    /** Confidence threshold (0 to 1) */
    scoreThreshold?: number;
    /** Maximum number of faces to detect */
    maxFaces?: number;
    /** Enable tracking between frames */
    enableTracking?: boolean;
    /** Execution environment */
    environment?: Environment;
    /** Model type to use */
    modelType?: ModelType | string;
    /** TensorFlow runtime */
    runtime?: TensorFlowRuntime;
    /** Target width to downscale input images if they exceed this size. Set to 0 or undefined to disable. */
    downscaleWidthThreshold?: number;
}
/**
 * Face detection result
 */
export interface FaceDetection {
    detection: {
        box: Box;
        score: number;
    };
}
/**
 * Facial landmarks (as a full mesh)
 */
export interface FaceLandmarks {
    meshPoints: Point3D[];
    probability?: number[];
}
/**
 * Face detection with landmarks (as a mesh)
 */
export interface FaceDetectionWithLandmarks {
    detection: {
        box: Box;
        score: number;
    };
    landmarks: FaceLandmarks;
}
/**
 * Face with tracking ID
 */
export interface TrackedFace extends FaceDetection {
    trackingID: number;
}
/**
 * Face detection that may include tracking
 */
export type PossiblyTrackedFace = FaceDetection | TrackedFace;
/**
 * Check if a face has tracking ID
 */
export declare function isTrackedFace(face: PossiblyTrackedFace): face is TrackedFace;
/**
 * Face detection with landmarks and tracking
 */
export interface TrackedFaceDetectionWithLandmarks extends FaceDetectionWithLandmarks {
    trackingID: number;
}
/**
 * Face detection with landmarks that may include tracking
 */
export type PossiblyTrackedFaceDetectionWithLandmarks = FaceDetectionWithLandmarks | TrackedFaceDetectionWithLandmarks;
/**
 * Check if a face with landmarks has tracking ID
 */
export declare function isTrackedFaceWithLandmarks(face: PossiblyTrackedFaceDetectionWithLandmarks): face is TrackedFaceDetectionWithLandmarks;
/**
 * Detection results
 */
export interface DetectionResult<T> {
    faces: T[];
    timing?: {
        total: number;
        preprocessing?: number;
        inference?: number;
        postprocessing?: number;
    };
}