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How to use pretrained model on wflw for 300w

Open John1231983 opened this issue 5 years ago • 2 comments

The paper mentioned that the method first trains on wflw dataset and use the weights as pretrain model and train on 300w

However, 300w just has 68 points without angle. How the method work with the 300w dataset. Does the method ignore the angle loss when training on 300w dataset?

John1231983 avatar Dec 23 '19 16:12 John1231983

The paper mentioned that the method first trains on wflw dataset and use the weights as pretrain model and train on 300w

However, 300w just has 68 points without angle. How the method work with the 300w dataset. Does the method ignore the angle loss when training on 300w dataset?

I have the same question here. Have you figured how to transfer learning the pre-trained model with the 300w dataset?

ZhenyuYangGithub avatar Apr 15 '20 04:04 ZhenyuYangGithub

The paper mentioned that the method first trains on wflw dataset and use the weights as pretrain model and train on 300w

However, 300w just has 68 points without angle. How the method work with the 300w dataset. Does the method ignore the angle loss when training on 300w dataset?

You can try PFLD_68points_Pytorch or PFLD-68points-tensorflow

github-luffy avatar Jul 30 '20 07:07 github-luffy