LipNet-PyTorch
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The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)
Hi I am unable to download the data using the code provided, can you please check if it still works?? Thanks
https://github.com/VIPL-Audio-Visual-Speech-Understanding/LipNet-PyTorch/blob/40209e09c49553c00c25c7d41faa3706aea3c625/scripts/extract_lip.py#L91 Why set the standard face by this way (including the parameters of affine transformation)? Could you give more specific insights?
Please provide other data sharing option. I can't create account from outside the china.
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VIPL-Audio-Visual-Speech-Understanding
Metadata
The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)