about the error recognition about arcface-multiplex-recognition HOT 3 OPEN

TL;DR follow this link

So maybe you could retrain the mlp.pkl with your own data(using train_mlp.py), or you can try to use others classifier(even the softmax), or fine-tuning.

By the way, the ArcFace Paper said they used:

• model ensemble (vote)
• threelayer fully connected network (MLP), my mlp just have one layer (lol)

from arcface-multiplex-recognition.

Hi @leavessnow26
Would you like to share your experience to run usb_camera.py file?
Please help me!
Best regards,
PeterPham

from arcface-multiplex-recognition.

have u ever try to another way to indetify face, for example: after get the 512-D feature, then compute the distance withe face database. compare with a classifer, which way is better?
I just know the distance way, is easy to expand face(number of class), but I don't know which way can get a higher acc.

from arcface-multiplex-recognition.