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acostapazo authored May 2, 2021
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# The GRAD-GPAD framework 🗿 [![version](https://img.shields.io/github/release/acostapazo/gradgpad/all.svg)](https://github.com/acostapazo/gradgpad/releases) [![ci](https://github.com/acostapazo/gradgpad/workflows/ci/badge.svg)](https://github.com/acostapazo/gradgpad/actions) [![pypi](https://img.shields.io/pypi/dm/gradgpad)](https://pypi.org/project/gradgpad/)


👉 The GRAD-GPAD framework is a comprehensive and modular framework to evaluate the performance of face-PAD (face Presentation Attack Detection) approaches in realistic settings, enabling accountability and fair comparison of most face-PAD approaches in the literature.
👉 The GRAD-GPAD framework is a comprehensive and modular framework to evaluate the performance of face-PAD (face Presentation Attack Detection) approaches in realistic settings, enabling accountability and fair comparison of most face-PAD approaches in the literature.

🙋 GRAD-GPAD stand for Generalization Representation over Aggregated Datasets for Generalized Presentation Attack Detection
🙋 GRAD-GPAD stand for Generalization Representation over Aggregated Datasets for Generalized Presentation Attack Detection


## 💻 Installation
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## 🚀 Getting Started

The best way to learn how to use the GRAD-GPAD framework is through the Notebook 📔 examples available in [gradgpad-notebooks](https://github.com/acostapazo/gradgpad-notebooks).
The best way to learn how to use the GRAD-GPAD framework is through the Notebook examples available in:

* [gradgpad-notebooks](https://github.com/acostapazo/gradgpad-notebooks) 📔

An example video using the framework will be available soon.

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