CAFR dataset release about high-performance-face-recognition HOT 6 OPEN

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?

from high-performance-face-recognition.

Which version do you use when traning the codes?

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@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:

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.

from high-performance-face-recognition.

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?

from high-performance-face-recognition.

@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:

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.

from high-performance-face-recognition.

@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.

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