M.1 Add Mlkit

Connect your AdobeAIR app to Firebase

1. Make sure you are considering the minimum requirements for running Firebase.
2. Install the Firebase SDK.
3. In the Firebase console, add your app to your Firebase project.

Add MLKit ANE to your app

Before adding MLKit (or any of the other Firebase child ANEs) to your AdobeAIR app, you need to make sure you have setup the firebaseCore.ane correctly in your project. IMPORTANT: To add MLKit, you need to add the required ANEs and Frameworks to your project. These dependencies are explained in details in this document.

MLKIT is still in beta version. For some unknown reason, Mlkit.createVisionImageFromFile is not working!, instead you may use other methods.

Air manifest .xml file
Beside changes you need to make to your manifest .xml file when implementing the firebaseCore.ane you need to add the following changes also to make the MLKit ANE work properly:

<!--
  Optional but recommended: If you use the on-device API, configure your app to automatically
  download the ML model to the device after your app is installed from the Play Store.
-->
<meta-data
  android:name="com.google.firebase.ml.vision.DEPENDENCIES"
  android:value="ocr,face,barcode,label"/>
  <!-- To use only one model: android:value="ocr" -->


<!--
  Change "YOUR.PACKAGE.NAME" to your own applicationID but keep
  ".provider" at the end. [your-app-id].provider
-->
<provider
  android:name="com.myflashlabs.firebase.mlkit.AneMLKITProvider"
  android:authorities="YOUR.PACKAGE.NAME.provider"
  android:exported="false"
  android:grantUriPermissions="true">
  <meta-data
    android:name="android.support.FILE_PROVIDER_PATHS"
    android:resource="@xml/mlkit_ane_provider_paths"/>
</provider>






  <extensions>
	
	<!-- 
		Required ANEs for the Firebase Core ANE comes here first.
		https://github.com/myflashlab/Firebase-ANE/wiki/A.4.-Initialize-Firebase-in-your-app
	-->
	
	<!-- Firebase MLKIT -->
    <extensionID>com.myflashlab.air.extensions.firebase.mlkit</extensionID>

    <!-- Dependency ANEs for Firebase MLKIT -->
    <extensionID>com.myflashlab.air.extensions.dependency.firebase.ml</extensionID>
    <extensionID>com.myflashlab.air.extensions.dependency.googlePlayServices.auth</extensionID>
    <extensionID>com.myflashlab.air.extensions.dependency.googlePlayServices.vision</extensionID>
    <extensionID>com.myflashlab.air.extensions.dependency.googlePlayServices.clearcut</extensionID>
    <extensionID>com.myflashlab.air.extensions.dependency.googlePlayServices.flags</extensionID>
    <extensionID>com.myflashlab.air.extensions.dependency.googlePlayServices.phenotype</extensionID>
    <extensionID>com.myflashlab.air.extensions.dependency.tensorflow</extensionID>
	
  </extensions>

Add MLKit iOS Resources

In the Firebase iOS SDK you downloaded from this page, copy the following resources to your projects assets folder. These files must be accessible from File.applicationDirectory. Make sure these files are included in your app package.

• MLVisionFaceModel/Resources/GoogleMVFaceDetectorResources.bundle
• MLVisionTextModel/Resources/GoogleMVTextDetectorResources.bundle
• MLNLSmartReply/Resources/PredictOnDeviceResource.bundle

Add MLKit Android Resources

Download MLKit Android resources from here and copy all the files there to your projects assets folder. These files must be accessible from File.applicationDirectory. Make sure these files are included in your app package.

Notice: There's a folder named models, you must also include that folder and everything in it. But make sure you are actually adding the folder to your project resources and do not take out the files in it to ther locations. Firebase SDK will look for those files relatively.