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Jia Guo
2019-01-28 14:23:33 +08:00
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We provide our implementation of ``Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment`` here at [BMVC](http://bmvc2018.org/contents/papers/0051.pdf) or link at [Arxiv](https://arxiv.org/abs/1812.01936).
We also provide some popular heatmap based approaches like stacked hourglass, etc.. You can define different loss-type/network structure/dataset in ``config.py``(after copy ``sample_config.py`` to ``config.py``.
We also provide some popular heatmap based approaches like stacked hourglass, etc.. You can define different loss-type/network structure/dataset in ``config.py``(from ``sample_config.py``).
For example, by default, you can train our approach by ``train.py --network sdu`` or train hourglass network by ``train.py --network hourglass``.