Shubham Panchal

Face liveness detection will be soon added, check this issue and the [other](https://github.com/shubham0204/OnDevice-Face-Recognition-Android/issues/1) for updates.

@poldz123 I was trying to reproduce the issue on an Android 15 device and the same ObjectBox version. Here's the entity that I am using, ```kotlin @Entity class SampleEntity {...

Yes @kuaashish I am using the same notebook. Here are the additional blocks of code I added to download Gemma 2 and convert it to TFLite, ```python from huggingface_hub import...

Thanks @Woody0414. I modified the Mediapipe source file, but then received the following error, ``` --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) [](https://localhost:8080/#) in () 12 output_tflite_file="/content/converted_models/gemma-2-2b-it-cpu" 13 ) --->...

@kuaashish would I get an update on this issue when the support to convert Gemma2 models is available?

TFLite and Mediapipe APIs are compiled for four ABI platforms, `armeabi-v7a`, `arm64-v8a`, `x86` and `x86-64` which cover most Android devices. Could you tell specifically, on which ABIs is the app...

MLKit and TFLite docs do not suggest adding `abiFilters` to `build.gradle`, but there's no harm in adding them. Without adding them, Android / PlayStore assumes that the app is built...

Can you share the entire log trace here (of the native-code not found error)?

I am still not able to understand the cause of the issue The best we can try is to update the TensorFlow dependencies if they're not the latest ones

@VishV-Android Which Mediapipe Task library are you using for object detection? Do let me know its version and artifact ID.