README.md

react-native-firebase-mlkit

React Native wrapper for functionality of https://developers.google.com/ml-kit/

Getting started

$ npm install react-native-firebase-mlkit --save

Compatibility

As of the moment, this wrapper of firebase Ml Kit supports Android and iOS.

Mostly automatic installation

$ react-native link react-native-firebase-mlkit

Don't forget to ...

• add google-services.json to the appropriate folder (/android/app/) (Android only)
• add GoogleService-Info.plist to the appropriate folder (/ios/) (iOS only)
• install CocoaPods in your react-native project and add the following line to your Podfile then run pod install (iOS only)

   pod 'Firebase/Core'
   pod 'Firebase/MLVision'
   pod 'Firebase/MLVisionTextModel'
  

Manual installation

iOS

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

Error: MLVisionTextModel duplicate symbols with React Native

    Solved enabling the dead code stripping in xcode for debug. 
    You can enable it in Target > Build Settings > search for "Dead code stripping". 

Android

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

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

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

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

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

   ...
   dependencies {
       implementation 'com.google.firebase:firebase-core:16.0.1'
       implementation 'com.google.firebase:firebase-ml-vision:17.0.0'
   
       implementation (project(':react-native-firebase-mlkit')) {
           exclude group: 'com.google.firebase'
       }
   }
   
   // Place this line at the end of file
   
   apply plugin: 'com.google.gms.google-services'
   
   // Work around for onesignal-gradle-plugin compatibility
   com.google.gms.googleservices.GoogleServicesPlugin.config.disableVersionCheck = true
   

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

   buildscript {
       repositories {
           google()
           ...
       }
       dependencies {
           classpath 'com.android.tools.build:gradle:3.0.1'
           classpath 'com.google.gms:google-services:4.0.2' // google-services plugin
       }
   }
   

Usage (Example using react-native-camera)

import RNMlKit from 'react-native-firebase-mlkit';

export class textRecognition extends Component {
  ...

  async takePicture() {
    if (this.camera) {
      const options = { quality: 0.5, base64: true, skipProcessing: true, forceUpOrientation: true };
      const data = await this.camera.takePictureAsync(options);
      // for on-device (Supports Android and iOS)
      const deviceTextRecognition = await RNMlKit.deviceTextRecognition(data.uri); 
      console.log('Text Recognition On-Device', deviceTextRecognition);
      // for cloud (At the moment supports only Android)
      const cloudTextRecognition = await RNMlKit.cloudTextRecognition(data.uri);
      console.log('Text Recognition Cloud', cloudTextRecognition);
    }
  };

  ...
}