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about the error recognition #7

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leavessnow26 opened this issue Jul 31, 2019 · 3 comments
Open

about the error recognition #7

leavessnow26 opened this issue Jul 31, 2019 · 3 comments

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@leavessnow26
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Thanks for your share, and it's a good job. However when I test the trump.mp4 with the supplied mlp.pkl, I found some error results and the prob is very high. Is there something wrong with me? or how can solve it?
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@1996scarlet
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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)

@ThanhPham1987
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Hi @leavessnow26
Would you like to share your experience to run usb_camera.py file?
Please help me!
Best regards,
PeterPham

@brealisty
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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.

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4 participants