Comments (4)
I have not test the code on mnist. I think you can try the following method to make arcface
work probably on mnist
.
- Try to use small network.
- The 50-layer network use lots of
batch norm
layer, but themnist
dataset only contain 10 category and the variance in each category is not large enough to fit so manybatch norm
layers, so it will cause thenan
. You should to reduce the number ofbatch norm
layers.
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i am using small neural network, but loss error? nan
https://github.com/damvantai/tensorflow-sphereface-asoftmax/blob/master/test_mnist.py
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i use sphereface loss is right but arcface loss ? error
from insightface_tf.
i meet same problem on mnist(resnet 50, arcface loss), have you solved this problem?
@damvantai
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Related Issues (20)
- About the accuracy computation(关于计算准确率的问题) HOT 1
- the number of samples is not 5.8M
- resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut_bn/BatchNorm/beta
- stom
- could I get the 512-D face embedding features ?
- pre trained models HOT 2
- How can I directly test the LFW data set with an existing model to get accuracy?Which folder is the model in?
- Embeddings model d
- In what format does the labels should be
- How to download pretrain ?
- Thank you for your code,could you tell why I feed input with shape(n,112,112,3),but just get the embedding with shape(1,512) HOT 1
- Performance issues in your project (by P3) HOT 1
- Performance issues in train_nets.py(P2)
- from models import base_server NOT IMPORTING
- center parallel strategy
- any instruction how to start?
- Share model please,,..
- Did you try a lighter base such as MobileFaceNet?
- compared with facenet HOT 2
- How to solve the problem of "summary" errors during training?
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