QAMFace icon indicating copy to clipboard operation
QAMFace copied to clipboard

Pytorch implementation of Quadratic Additive Angular Margin Loss for Face Recognition

Results 5 QAMFace issues
Sort by recently updated
recently updated
newest added

the loss function used in the project was loss = self.focalLoss(thetas, labels)??? not Additive Angular Margin Loss?

I notice you only went to epoch 22, which is still stage 1. Are you still training this?

Ideally the input data is normalised between -1 and 1 because fp32 and fp16 have better precision in that range. Is there a reason why it is commented out in...

The batch size in config.py is not used for anything (instead it used the -b option). This confused me initially. Maybe it could change the default value.