facenet-js/dist/types.d.ts

Face detection and recognition library using TensorFlow.js and MediaPipe along with helpful React hooks and components

import { Detection, Embedding as EmbeddingMediaPipe, FilesetResolver, ImageEmbedderResult } from '@mediapipe/tasks-vision';
export type { Detection, ImageEmbedderResult } from '@mediapipe/tasks-vision';
export type FaceDetectionDevice = 'CPU' | 'GPU';
export type FaceDetectionMode = 'IMAGE' | 'VIDEO';
export type FaceDetectorState = 'not_initialized' | 'initializing' | 'initialized' | 'error';
export type EmbeddingRequest = {
    source: HTMLImageElement | HTMLVideoElement;
    detection: Detection;
    timestamp?: number;
};
export interface FaceDetectionOptions {
    device: FaceDetectionDevice;
    mode: FaceDetectionMode;
    minDetectionConfidence: number;
    detectionModelPath?: string;
    embeddingModelPath?: string;
    wasmPath?: string;
}
export interface FaceSimilarityResult {
    similarity: number;
}
export type WasmFileset = Awaited<ReturnType<typeof FilesetResolver.forVisionTasks>>;
export type FaceDetection = Detection;
export type EmbeddingResult = ImageEmbedderResult;
export type Embedding = EmbeddingMediaPipe;
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