npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

react-native-vision-camera-facekit

v1.1.2

Published

VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector and Apple Vision Camera for React Native Vision Camera v4

Readme

react-native-vision-camera-facekit

GitHub license npm version

Description

react-native-vision-camera-facekit is a React Native Frame Processor Plugin for Vision Camera v4 that provides cross-platform face detection functionality. It supports:

  • Android via MLKit Vision Face Detector
  • iOS via Apple Vision Framework
  • Real-time face detection using the device camera
  • Configurable detection options (performance, landmarks, contours, classification, minimum face size, tracking)

Features

  • High-performance, native JSI-based frame processors
  • Flexible options for speed vs. accuracy
  • Contour and landmark extraction
  • Face tracking (optional)

Installation

# yarn
yarn add react-native-vision-camera-facekit

# or npm
npm install react-native-vision-camera-facekit --save

Then install pods (iOS):

cd ios && pod install && cd ..

Usage

import React from 'react';
import { StyleSheet, View, Text } from 'react-native';
import {
  Camera,
  useCameraDevice,
  useFrameProcessor,
} from 'react-native-vision-camera';
import { scanFaces } from 'react-native-vision-camera-facekit';
import { runOnJS } from 'react-native-reanimated';

export default function App() {
  const device = useCameraDevice('front');
  const [faces, setFaces] = React.useState([]);

  React.useEffect(() => {
    (async () => {
      const status = await Camera.requestCameraPermission();
      console.log('Camera permission:', status);
    })();
  }, []);

  const frameProcessor = useFrameProcessor((frame) => {
    'worklet';
    try {
      const detected = scanFaces(frame, {
        performanceMode: 'fast',
        classificationMode: 'all',
        contourMode: 'all',
        landmarkMode: 'all',
        minFaceSize: 0.1,
        trackingEnabled: false,
      });
      runOnJS(setFaces)(detected);
    } catch (e) {
      console.error('scanFaces error', e);
    }
  }, []);

  if (!device) {
    return <Text>Loading camera...</Text>;
  }

  return (
    <View style={{ flex: 1 }}>
      <Camera
        style={StyleSheet.absoluteFill}
        device={device}
        isActive={true}
        frameProcessor={frameProcessor}
        frameProcessorFps={5}
        photo={false}
      />
    </View>
  );
}

API

scanFaces(frame: Frame, options?: FaceDetectionOptions): Face[]

  • frame: Frame from Vision Camera

  • options (all optional):

    • performanceMode: 'fast' | 'accurate' (default 'fast')
    • landmarkMode: 'none' | 'all' (default 'none')
    • contourMode: 'none' | 'all' (default 'none')
    • classificationMode: 'none' | 'all' (default 'none')
    • minFaceSize: number (default 0.1)
    • trackingEnabled: boolean (default false)

Returns: Array of Face objects with bounds, angles, probabilities, contours, and landmarks.

License

MIT © Cristofer Feliz