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Hzzone / MTLFace

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral & TPAMI 2022)
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regarding evaluation of the trained model #1

Closed ctsrkrk closed 3 years ago

ctsrkrk commented 3 years ago

Hi, Just wanted to ask that could you provide the code to run, test and evaluate the trained model and get the age progressions. The code to train the model is present but where can I find the code to test it?

Thanks

Hzzone commented 3 years ago

I am sorry for that now I have no time to rewrite the code you have requested... You could get the images from the following code, it is very simple to adjust for your own need https://github.com/Hzzone/MTLFace/blob/4ed43c77a5b671fb609f3e010845a2a423be3865/models/fas.py#L75

I am preparing for my journal version, and maybe I would public them together in the future.