Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CAFR dataset release #3

Open
crystal0516 opened this issue Jan 8, 2019 · 6 comments
Open

CAFR dataset release #3

crystal0516 opened this issue Jan 8, 2019 · 6 comments

Comments

@crystal0516
Copy link

Hello, Dr. Zhao.
Thank you for awesome work and sharing AIM codes.
I have trained and tested on some public (e.g. FGNet) database with your codes.
However, as desribed in your paper, training on the CAFR dataset is very important for best recognition performance.
Will the CAFR database be released?
Thank you!

@dyk-ml
Copy link

dyk-ml commented May 13, 2019

How to test on other databases for face recognition? i just generated some pictures in different ages through this code.can you share some points?

@chengxiqiao
Copy link

Which version do you use when traning the codes?

@ccl-private
Copy link

ccl-private commented Sep 11, 2019

@dyk-ml In my opinion, self.encoder(x) can extract a face coder for face recognition. we only need to compare this vector to recognize a person.
But I think the trained result of mine was not that good. I don't know do you have the same problem.
This is one example:
Screenshot from 2019-09-11 16-58-38
0_0.jpg to 0_9.jpg is not that like 0_r.jpg, they are more like an average of the whole data set.

@ReverseSystem001
Copy link

Hello, Dr. Zhao.
Thank you for awesome work and sharing AIM codes.
I have trained and tested on some public (e.g. FGNet) database with your codes.
However, as desribed in your paper, training on the CAFR dataset is very important for best recognition performance.
Will the CAFR database be released?
Thank you!

SO, Does the CAFR database released?

@ReverseSystem001
Copy link

@dyk-ml In my opinion, self.encoder(x) can extract a face coder for face recognition. we only need to compare this vector to recognize a person.
But I think the trained result of mine was not that good. I don't know do you have the same problem.
This is one example:
Screenshot from 2019-09-11 16-58-38
0_0.jpg to 0_9.jpg is not that like 0_r.jpg, they are more like an average of the whole data set.

have you been solved the problem??? hope your replay.

@EddyRonald
Copy link

@crystal0516 I am trying to run AIM with the FGNET dataset but I have a problem like this:
ValueError: not enough values to unpack (expected 3, got 0)
Could you tell me how I get to compile the code with FGNET please.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

6 participants