Face Recognition

--This is a final project assignment--
We create a Tensorflow model to implement Face Recognition in the Apps Lock feature section. This feature is handy if other users try to access our data without our knowledge, so the unknown user can't access this application.

Project Structure

.gitignore
Data
   |-- GetUnzipImg.sh
   |-- __pycache__
   |   |-- data.cpython-37.pyc
   |-- data.py
Models
   |-- SiameseNeuralNetwork.png
   |-- SiameseNeuralNetwork_v2.png
   |-- __pycache__
   |   |-- model.cpython-37.pyc
   |-- embedding.png
   |-- embedding_v2.png
   |-- model.py
README.md
Train
   |-- face_train.ipynb
   |-- face_train_v2.ipynb
   |-- logs
   |   |-- gradient_tape
   |   |   |-- 20220605-104904
   |   |   |   |-- test
   |   |   |   |   |-- events.out.tfevents.1654426144.08eb34789bda.70.1.v2
   |   |   |   |-- train
   |   |   |   |   |-- events.out.tfevents.1654426144.08eb34789bda.70.0.v2
   |   |   |-- 20220612-135511
   |   |   |   |-- test
   |   |   |   |   |-- events.out.tfevents.1655042111.f20e4e3b25d3.71.5.v2
   |   |   |   |-- train
   |   |   |   |   |-- events.out.tfevents.1655042111.f20e4e3b25d3.71.4.v2
setup_remote.ipynb