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Weird results using pretrained model

Open zhuhaozh opened this issue 6 years ago • 8 comments

Using the inference.py, got some weird results on my images.

image image

zhuhaozh avatar Jan 03 '20 03:01 zhuhaozh

I have a same problem. did you fix it?

eshuka avatar May 11 '20 08:05 eshuka

I think the loss function has some problems

Torreto666 avatar Sep 10 '20 03:09 Torreto666

Got that problem,too. Do you have some ideas? @Torreto666 @eshuka @tomguluson92

changfali avatar Dec 17 '20 09:12 changfali

@zhuhaozh @Torreto666 @changfali @eshuka @tomguluson92

How do you get the depth map, Can you please clear it Hope for a reply

Thanks in advance

punitha-valli avatar Apr 07 '21 05:04 punitha-valli

Same problem here. Any thoughts on this issue? XD

Jason0917 avatar Apr 13 '21 23:04 Jason0917

Hi, everyone, the current model here is only trained on a few faces with extreme poses, so the model is not generalizing well to the common situations.

Train this PRNET with full dataset is all you need :)

tomguluson92 avatar Apr 19 '21 07:04 tomguluson92

Hi, everyone, the current model here is only trained on a few faces with extreme poses, so the model is not generalizing well to the common situations. Train this PRNET with full dataset is all you need :)

When I train on full datasets, the results are still not good. How can i solve it.

xuncheng1997 avatar Jun 10 '21 02:06 xuncheng1997

I have the same problem, has there anyone solved this? please! i really need help :)

shiwen-cheng avatar Nov 03 '21 09:11 shiwen-cheng