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Code for our AAAI'19 paper "Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos"
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testing_code
training_code 2 Nov 29, 2018
README.md Update README.md Jan 9, 2019

README.md

Fractional Heatmap Regression

[Paper] [Slides] [Supp][TencentYouTuResearch]

Citation

If you find this work useful in your research, please consider citing (* indicates equal contributions):

@inproceedings{tai-FHR-2019,
  title={Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos},
  author={Tai, Ying* and Liang, Yicong* and Liu, Xiaoming and Duan, Lei and Li, Jilin and Wang, Chengjie and Huang, Feiyue and Chen, Yu},
  booktitle={The AAAI Conference on Artificial Intelligence (AAAI)},
  year={2019}
}

Prerequisites

  • Torch
  • Linux
  • NVIDIA GPU + CUDA CuDNN

Getting Started

Setup

Clone the github repository:

git  clone https://github.com/tyshiwo/FHR_alignment.git
cd FHR_alignment

Data & Models

  1. Download the training and testing data include datasetsets 300W and 300VW from [Google drive]. Put it into the root path (i.e., FHR_alignment/data)
  2. Download the pretrained models for datasets 300W and 300VW from [Google drive]. Put it into the root path (i.e., FHR_alignment/models)

Training

For dataset 300W:

cd training_code
sh exec_train_300W_fhr.sh

For dataset 300VW:

sh exec_train_300VW_fhr.sh

Testing

For dataset 300W:

cd testing_code
sh test_300W_fhr.sh

For dataset 300VW:

sh test_300VW_fhr.sh
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