Comments (5)
yule-li
commented on August 25, 2024
In train.sh, the default network is sphere_network. So if you run train.sh with default hyper-parameters, you just need to change the MODEL_DIR to where your trained model is saved. Notice the full name of saved model file is /path/to/xxx.ckpt-yyy.data-00000-of-00001 and you should set MODEL_DIR=/path/to/xxx.ckpt-yyy.
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lina0309
commented on August 25, 2024
Oh, thank you very much, i will have a try following your reply~
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leacornelio
commented on August 25, 2024
How do you download the model from Baidu? I have an account on Baidu but it's asking me to install a software.
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DecentMakeover
commented on August 25, 2024
@leacornelio Have you downloaded the model?
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DecentMakeover
commented on August 25, 2024
Btw, the software it is asking you to download is the baiduclient disk. Once you install it, you will be able to download the model.
If you have succeeded in downloading the model, could you please upload it to google drive/dropbox? .I am using a linux machine.Thanks
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Related Issues (20)
- Where is the list_file of CASIA-WebFace-112X96 dataset HOT 5
- Possible upload the model and data to google drive/dropbox? HOT 3
- Could you tell me how to solve the error: too few arguments? HOT 6
- Could you tell me how to test the model that you ware trained? HOT 1
- 请问这个如何处理
- How to train and test my own dataset HOT 3
- Can't download trained model from Baidu.....can you please provide google drive link....Thanks for help HOT 3
- cleaned_list.txt explaination HOT 1
- Error with pre-trained HOT 1
- what is the difference between calculate cosloss using py_func and tf api in utils.py line 104-109?
- How to fix the error of the /CASIA-WebFace-112X96/0000045/001.jpg not exist?
- license of the project
- trouble when loading pre-trained model
- OOM error
- cosine similarity or euclidean distance for evaluation? HOT 1
- Some details confuses me. HOT 7
- Training code should be modified if multiple GPUs are used HOT 2
- can you provide the cleaned_list.txt ?
- There is too many versions. Can anyone tell me which is the best from the model provided until now . HOT 5
- loss cannot decrease when training and some bugs in train_multi_gpu.py HOT 4
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