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11 lines
790 B
Markdown
11 lines
790 B
Markdown
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).
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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``).
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For example, by default, you can train our approach by ``train.py --network sdu`` or train hourglass network by ``train.py --network hourglass``.
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2D training/validation dataset is now available at [baiducloud](https://pan.baidu.com/s/1kdquiIGTlK7l26SPWO_cmw)
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3D training/validation dataset is now available at [baiducloud](https://pan.baidu.com/s/1VjFWm6eEtIqGKk92GE2rgw)
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