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20 changes: 3 additions & 17 deletions README.md
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# Deep Pixel-wise Binary Supervision for Face PAD in Pytorch

# Installation

```bash
virtualenv -p python3 venv
source venv/bin/activate
pip install -r requirements.txt

```

# Data preparation



# Training

# Data
You can use NUAA, Celeba. In my branch I use Celeba

# Testing


Run notebook/CELEBA-CELEBA in jupyter notebook for your database. You wil get metrics, ROC curve, confusion matrix.

# Reference
[1] Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
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