react-native-mlkit-face-detector

Getting started

$ npm install react-native-mlkit-face-detector --save

Installation

iOS

Via Pods

1. Append the following lines to your Podfile

    pod 'React', :path => '../node_modules/react-native', :modular_headers => true #important!!!

  pod 'Firebase/Core'
  pod 'Firebase/MLVision'
  pod 'Firebase/MLVisionFaceModel'

    pod 'RNFaceDetector', :path=> '../node_modules/react-native-mlkit-face-detector/ios'

1. Add $(TOOLCHAIN_DIR)/usr/lib/swift/$(PLATFORM_NAME) to your project Build Settings -> Library Search Paths

Manualy (not tested)

1. In XCode, in the project navigator, right click Libraries ➜ Add Files to [your project's name]
2. Go to node_modules ➜ react-native-mlkit-face-detector and add RNFaceDetector.xcodeproj
3. In XCode, in the project navigator, select your project. Add libRNFaceDetector.a to your project's Build Phases ➜ Link Binary With Libraries
4. Run your project (Cmd+R)

Android (not supported yet, WIP)

1. Open up android/app/src/main/java/[...]/MainActivity.java

• Add import com.reactlibrary.RNFaceDetectorPackage; to the imports at the top of the file
• Add new RNFaceDetectorPackage() to the list returned by the getPackages() method

1. Append the following lines to android/settings.gradle:

   include ':react-native-mlkit-face-detector'
   project(':react-native-mlkit-face-detector').projectDir = new File(rootProject.projectDir, 	'../node_modules/react-native-mlkit-face-detector/android')
   

2. Insert the following lines inside the dependencies block in android/app/build.gradle:

     compile project(':react-native-mlkit-face-detector')
   

Both platforms

Don't forget to setup Firebase:

1. iOS [https://firebase.google.com/docs/ios/setup]
2. Android [https://firebase.google.com/docs/android/setup]

Usage

import { FaceDetector, FaceDetectorCameraView, } from 'react-native-mlkit-face-detector';
 
class Screen extends React.Component {
 
  cameraRef = React.createRef()
 
  render() {
    return (
      <FaceDetectorCameraView
        ref={this.cameraRef}
        style={styles.container}
        cameraType={this.state.camera}
        options={this.options}
        onFacesDetected={this.handleFacesDetection}
      />
    )
  }
 
  handleFacesDetection = ({ faces, width, height, recordingTime, }) => {
    // do whatever you want
  }
 
  handleStartPress = () => {
    if (this.cameraRef) {
      this.cameraRef.current.startRecording()
        .then(({ path, }) => {})
        .catch((e) => {
          console.warn(e, 'Something whent wrong');
        });
    }
  }
 
  handleStopPress = () => {
    if (this.cameraRef) {
      this.cameraRef.current.stopRecording(); // will resolve startRecording call
    }
  }
 
}

API

Configuration constants

FaceDetector contain setup options constants FaceDetector.OPTIONS

Name	Type	Example	Description
PERFOMANCE_MODE	String	performanceMode: FaceDetector.OPTIONS.PERFOMANCE_MODE.FAST	Face detection performance mode. Values: FAST, ACCURATE
LANDMARK_MODE	String	landmarkMode: FaceDetector.OPTIONS.LANDMARK_MODE.NONE	Face detection landmark mode, declare that model must detect landmarks. Values: ALL, NONE
CONTOUR_MODE	String	contourMode: FaceDetector.OPTIONS.CONTOUR_MODE.NONE	Face detection contour mode, declare that model must detect contours. Values: ALL, NONE
LANDMARK_MODE	String	classificationMode: FaceDetector.OPTIONS.LANDMARK_MODE.NONE	Face detection classification mode, declare that model must detect opened eyes and smile. Values: ALL, NONE

... (WIP)