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Training PRN model

Open rafaelbou opened this issue 6 years ago • 4 comments

Hi everyone, I began to train the model and I have some questions:

  1. Dataset: I downloaded 300W_LP dataset and it contains ~200K images while the author report about ~60K images at the same dataset. Someone know what is the difference between these versions?

  2. Overfitting: While training the dataset I'm getting in to overfit: image someone manage same issue too?

  3. About the loss function: Do you add L2 regularization to the loss function? Do you use the uv_weight_mask.png as it is? Do you multiply it with uv_face_mask.png to ignore the neck region? Do you use L1 or L2 for the loss calculation (uv' - uv)?

  4. Evaluation: How do you evaluate your model? meanwhile I'm using only the loss function and visualize the output uv maps.

Thanks to the answers, Rafael.

Originally posted by @rafaelbou in https://github.com/YadiraF/PRNet/issues/46#issuecomment-446916937

rafaelbou avatar Dec 13 '18 13:12 rafaelbou

@rafaelbou Hi,as a newer to this, I failed to achieve the training code, could you please provide training code to me? I hope I can get your help, thank you very much. My email: [email protected]

qiannvMao avatar Jul 18 '19 04:07 qiannvMao

@rafaelbou Can you share your training code?Looking forward to your reply.Thank you again.Email address: [email protected]

lxzkeyan avatar Oct 20 '19 07:10 lxzkeyan

@rafaelbou Can you share your training code?Looking forward to your reply.Thank you again.Email address: [email protected]

xingxingsuo33 avatar Apr 07 '20 07:04 xingxingsuo33

可以分享一下你的训练代码吗?期待你的回复。再次感谢。邮箱 [email protected]

yanghao960502 avatar Jun 24 '21 05:06 yanghao960502