Face Verification Bypass

Evaluate data on baseline using Generate_Profile_Images_baseline. Select appropriate results and evaluate on Face_Verification.

About The Project

Generating fake profile images that can be verified with your own face but look as different as possible.

Getting Started

All files can be run locally using jupyter.

Usage

1. Preprocess images from your personal dataset by running Data_Preprocessing.ipynb.
2. Set up the face verification system by running Face_Verification.ipynb. Save the generated database.pkl file for later use.
3. To test baseline use Generate_Profile_Images_baseline.ipynb. This is based on FreezeD.
4. To test on starGAN v2 use starGAN_v2.ipynb.
5. Evaluate selected generated images in Face_Verification.ipynb under Experiments by loading the previously downloaded database.pkl file.
6. To experiment with a naive Freeze-D implementation for starGAN, replace the solver.py file in the core folder (after downloading the repository) with the solver.py file in this repository.