face_recognition for Android

• face_recognition version: latest
• Python version: 3
• Operating System: mac OSX, Android, Linux

Description

I'd like to add face recognition to an android application. I'm particularly interested in the face_encoding 128 floating points that this api provides. I have Android apps running OpenCV. I'm trying to decide the best approach and if anyone has experience with this?

• Can I take the "Training Data" from this api used to generate 128 floating points encoding to get same face_encodings in Android natively, (I did something like this with OpenALPR License Plate Classifiers .xml)
• or has someone else had better experience with compiling python code as an .apk (with all of the requirements included in this api) (grabbing camera, sensors, internet from android device)

I would want to send face_encodings to a backend server (spatial database) to have a more distributed face recognition platform.

Thanks!

The issue names no files, tests, or entry points. Start by reviewing the face_recognition API's face encodings and its Android compatibility, then determine whether native Android support or Python packaging is the intended direction. Done would require an agreed implementation path and documented support for generating compatible encodings on Android.