import { FrameSource, Frame, type FrameSourceError } from "./frameSource.js";
import type { FaceLandmarkerLike } from "./mediapipeLoader.js";
/**
 * Frame source backed by MediaPipe FaceLandmarker (tasks-vision). Each frame
 * carries the face ROI + forehead/cheek sub-ROIs (for rPPG) plus the raw
 * landmarks and blendshape coefficients (for affect / valence-arousal).
 *
 * Unlike the legacy FaceMesh (async send/onResults), FaceLandmarker.detectForVideo
 * is synchronous, so detection happens inline in the capture loop.
 */
export declare class MediaPipeFaceFrameSource implements FrameSource {
    private video;
    private faceLandmarker;
    private fps;
    onFrame: ((frame: Frame) => void) | null;
    onError: ((error: FrameSourceError) => void) | null;
    private running;
    private canvas;
    private ctx;
    private vfcHandle;
    private smoothedFaceRoi;
    private lastError;
    constructor(video: HTMLVideoElement, faceLandmarker: FaceLandmarkerLike, fps?: number);
    start(): Promise<void>;
    stop(): Promise<void>;
    getLastError(): FrameSourceError | null;
    private detectAndEmit;
    private landmarksToROI;
    private smoothRoi;
    private reportError;
}
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