M.6 Recognize Landmarks

Landmark Recognition

With ML Kit's landmark recognition API, you can recognize well-known landmarks in an image.

When you pass an image to this API, you get the landmarks that were recognized in it, along with each landmark's geographic coordinates and the region of the image the landmark was found. You can use this information to automatically generate image metadata, create individualized experiences for users based on the content they share, and more.

NOTICE: This is a beta release of ML Kit for Firebase. This API might be changed in backward-incompatible ways and is not subject to any SLA or deprecation policy.

Create a VisionImage first:

import com.myflashlab.air.extensions.firebase.mlkit.*;

// initialize ML Kit AFTER FirebaseCore is successfully started
Mlkit.init();

/*
    You can create VisionImage instance from BitmapData, File or ByteArray

    Mlkit.createVisionImageFromBitmapData
    Mlkit.createVisionImageFromFile
    Mlkit.createVisionImageFromBytes
*/

var image:File = File.applicationDirectory.resolvePath("img.jpg");

// This is beta version and for some reason, creating vision 
// images from file is not working! instead you may use 
// BitmapData for now!

var loader:Loader = new Loader();
loader.load(new URLRequest(image.url));
loader.contentLoaderInfo.addEventListener(Event.COMPLETE, function loaderComplete(e:Event):void
{
	var bm:Bitmap = e.target.content as Bitmap;

	// create a VisionImage
	var visionImg:VisionImage = Mlkit.createVisionImageFromBitmapData(bm.bitmapData);
				
	trace("visionImg.id = " + visionImg.id);
});

Extract information from the image

// (Optional) initialize an instance of LandmarkDetectorOptions
//var options:LandmarkDetectorOptions = new LandmarkDetectorOptions();
//options.maxResults = 
//options.modelType = 
//...

var detector:LandmarkDetector = Mlkit.initLandmarkDetector(options);
detector.process(visionImg_landmark,function ($landmarks:Vector.<VisionLandmark>, $error:Error):void
{
	if($error) trace($error.message);
				
	if($landmarks)
	{
		trace("--------- VisionLandmark ------");
		for(var i:int=0; i < $landmarks.length; i++)
		{
			var landmark:VisionLandmark = $landmarks[i];
			trace("\t" + landmark.toString());
		}
		trace("-------------------------------");
	}
				
	detector.close();
});