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A TensorFlow implementation of the paper: HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

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HyperFace

A TensorFlow implementation of the following paper by Rajeev Ranjan, Vishal M. Patel and Rama Chellappa published in TPAMI:
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

Dependencies:

  • Tensorflow
  • dlib
  • scikit-learn
  • OpenCV

Steps to install dependencies:

sudo apt-get install build-essential cmake
sudo apt-get install libgtk-3-dev
sudo apt-get install libboost-all-dev
pip install -r requirements.txt

Data:

Download the sample data and save it at data/hyf_data.npy

Execution:

  1. cd src
  2. python train.py

About

A TensorFlow implementation of the paper: HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

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