FaceNet-Implementation-Tensorflow

Face Authentication with Tensorflow, Keras and OpenCV

How to Use

1. Clone the Repo.

2. python3 -m pip install --user virtualenv (In Mac or Linux)
   python -m pip install --user virtualenv (In Windows)
   

   [Make sure Python3 is installed in your system]

3. python3 -m venv env (In Mac or Linux)
   python -m venv env (In Windows) 
   

4. source env/bin/activate  (In Mac or Linux)
   .\env\Scripts\activate (In Windows) 
   

5. pip3 install -r requirements.txt (In Mac or Linux)
   pip install -r requirements.txt (In Windows)
   

6. Download the FaceNet weight from here in the folder model.

7. Place your 5 photos in the directory Faces by creating a folder with your name.

8. Run train.py file

python3 train.py [For Mac/Linux]
python train.py [For Windows]

9. Run detect.py file

python3 detect.py [For Mac/Linux]
python detect.py [For Windows]

10. Happy Coding!

Developed and Maintained By

Sayan Nath