mlkit VS ZXing

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...

The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google.

This is using Excel, but it is still VBA, https://www.youtube.com/watch?v=NIFjw8z__dI they're utilizing a third-party library called ZXing which is available on GitHub https://github.com/zxing/zxing

I'm sure it works, but thezxing github project appears in maintenance mode, so I'm not sure i should use it in a new project

PyXing (website here) is supposedly a Python port of the popular Java ZXing library, but the initial and only commit is 6 years old and the project has no readme or documentation whatsoever.