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Code for AutoRate(FG2019) and Face Analysis for Driver Inattention(IEEE Biometrics)

Shell 2.15% Python 12.23% Jupyter Notebook 85.62%

autorate's Introduction

Note: Features and codes will be released soon

Updates: THis code will be released by end of March 2020. Appologies for the same. If you need this urgently please contact me/..

AutoRate

This is the README file for the official code, features and model release associated with the 2019 FG paper, "AutoRate: How attentive is the driver?".

Features

Features has two parts: Specific facial features and VGG Face features For specific Facial Features: click here Specific features include face area, headpose, eyegaze, MAR, EAR and phone & seatbelt. All these features are required to rate driver attention in the range of 1 to 5.

For deep features: click here Deep features per frame was extracted using VGG Face model Oxford. The features are 4096 dimensional.

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