mobilefacenet-V2
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đ„improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ffă the 99.68+ in lfw,96.71+ in agedb30.đ„
how to find the peretrain models,i cannot find in this: https://github.com/aidlearning/AidLearning-FrameWork/tree/master/examples/facencnn cannot find weight files?
I used train_softmax,py in https://github.com/deepinsight/insightface/blob/master/src/train_softmax.py The parameters are set like thisïŒ CUDA_VISIBLE_DEVICES='0' python -u train_softmax.py --network y1 --ckpt 2 --loss-type 4 --lr 0.00001 --emb-size 512 --per-batch-size 80 --wd 0.0000001 --data-dir...
Thank you very much for your work. Could you give me the link to the test dataset,such as lfw,agedb_30......
Hello, you can train such a good model, what parameters do you mainly adjust, can you share your experience?
Why I use your training model with low initial accuracy? Am I wrong? cmd:CUDA_VISIBLE_DEVICES='0' python -u train_softmax.py --network y1 --ckpt 2 --loss-type 4 --lr 0.01 --lr-steps 40000,60000,70000 --wd 0.00004 --fc7-wd-mult...
emb-size
why your emb size is 512? the result is unfair compared to the orginal paper.and the model size is too large
As the title , can you tell me the difference between yours and mobilefacenet? Some detailsïŒsuch as LeakyReLU and wd extremely grateful |
I suggest you add symbol_utils.py to your code. Thank you so much.