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ZhaoJ9014 / face.evoLVe

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
MIT License
3.41k stars 759 forks source link

How to implement the triple loss? #186

Open GeorgeCarpenter opened 2 years ago

GeorgeCarpenter commented 2 years ago

The README.md wrote:

This repo provides a comprehensive face recognition library for face related analytics \& applications, including face alignment (detection, landmark localization, affine transformation, etc.), data processing (e.g., augmentation, data balancing, normalization, etc.), various backbones (e.g., ResNet, IR, IR-SE, ResNeXt, SE-ResNeXt, DenseNet, LightCNN, MobileNet, ShuffleNet, DPN, etc.), various losses (e.g., Softmax, Focal, Center, SphereFace, CosFace, AmSoftmax, ArcFace, Triplet, etc.)

However, we found no triple loss in the repo. Could you tell us how to implement the triple loss?

Thanks.

harshraj22 commented 2 years ago

Same issue @ZhaoJ9014 Any comments ?