JanderHungrige / Celeb_Demo_tflite

This demo will create and compare your face embedding to face embeddings you created beforehand.

Celeb_Demo_tflite

This demo will create and compare your face embedding to face embeddings you created beforehand.

Files:

aidemo.py       : contains the GUI of the Demo

ai.py           : contains the Neural Network creating the Embeddings. It Returns Euclidian Distance and index of the minimal euclidain distance.

cameraimx8mp.py : contains the gstreamer pipeline to read in the camera image when used on the ARM device

camerapc.py     : contains the opencv pipeline to read in the camera image when used on the x86 device

v4l2_2.py       : contains the video for Linux settings

Prerequisite:
After cloning the git repository please add the model file which you can find here (13), here (15), here (15 all int), and here (220 all int) to the demo-data/ models/tflite/ folder

And add the Embeddingsfiles, which you can find here (220) and here (115), to the demo-data/ folder.