Comments (6)
The author use 100 layer network. Please compare with the LResNet50E-IR
.
Another reason is the author using a large batchsize
which I can't use because of the memory limit.
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very strange problem? i cannot train well using this project, my best accuracy 96% on lfw, so i changed my training method which based on amloss ,as follows: 1. use the model which had trained well by others. 2. keep inference logit as set trainable=false 2. only train param 'w' in arcface loss part. but get bad result, the inference loss is alway about 25. And i have trained "Additive-Margin-Softmax", i get accuracy 99.3% very easy. so i doubt the 'arc face loss' really wok?
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@siahewei
I can achieve 99.6% on LFW at 400K iters by simply using this project's original code. I am still waiting for better result with more iters. You may double check your train data and consider increasing batch size a little bit.
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@ruobop let us know when you get better results. Thanks.
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@auroua In the TF document, It says that using NCHW is better than using NHWC in training mode with CUDA, and NHWC in inference mode.
Is there any way to achieve this?
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I come into the same problem with @siahewei . I use 96x96 images to train a model, but it seems to up to the bottleneck 0.96 in lfw test.
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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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