after training by all 300WLP datasets. when i evaluate the model. the NME is much lower than the paper. what is the problem?
after training by all 300WLP datasets. when i evaluate the model. the NME is much lower than the paper. what is the problem?

when you are training the model. Do you use the AFLW2000 dataset(test dataset) ? hope your replay
Hello, ReverseSystem001, Where are you find the evaluate code? I am running the code currently, but did not find !
write it by myself. you can look at the 3ddfa evaluation code. 892379162 邮箱:[email protected] 签名由 网易邮箱大师 定制 On 03/13/2020 14:31, YUFENGZHANG wrote: Hello, ReverseSystem001, Where are you find the evaluate code? I am running the code currently, but did not find ! — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
when I train by all 300WLP datasets, There is an error :TypeError: cannot unpack non-iterable NoneType object. Do you know how can i solve this error?
when I train by all 300WLP datasets, There is an error :TypeError: cannot unpack non-iterable NoneType object. Do you know how can i solve this error?
have you solved this problems? and how? thx.