mlkit VS FaceMatchSample

I used ML Kit pos estimation API. I followed New features in ML Kit video and building use cases playlist. I tried to understand googlesamples/mlkit and tensorflow/examples but I barely understand, where the define the processor, and I loos it when it comes to the cameraSource file. eventually I created a runnable application.

To understand the implementation of getBitmap(), please refer to BitmapUtils.java.

Next, we draw an overlay above the camera preview. There is an excellent GraphicOverlay class provided by Android ML Kit demo project. We don't need to reinvent the wheel:

Download the sample code of ML Kit vision.

MLKit is distributed by CocoaPods, no Carthage or SMP support, but at least we ask Google to add such options...

Both frameworks have plenty of samples. Great sample of Vision is Sport Analysis. Simple example detecting face similarity with Azure and using CoreImage can be found at my GitHub. I will add branch for sample MLKit usage (don't what to anchor on Cocoapods in master branch).