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Ya, porting weight is not that hard. Technically, it's just loading pytorch weights as list -> align weights order matching keras model -> loading weights into keras model. You can also see in my another repo keras_cv_attention_models, that most models there are ported from pytorch, also some ported from paddlepaddle and mindspore. Most porting script also kept in my notebook above.
Hi, thank you for the awesome work.
I notice that in your Ported Models (e.g. [r100 12m AdaFace]) description, you ported the original repo's weight to tensorflow version.
May I ask how did you do that? Is it possible to port different deep learning framework weight?
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