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[my-result] description #4

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tanfy929 opened this issue Aug 25, 2022 · 13 comments
Closed

[my-result] description #4

tanfy929 opened this issue Aug 25, 2022 · 13 comments

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@tanfy929
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tanfy929 commented Aug 25, 2022

Dear Author:
I have tried to reproduce your work, and the parameter settings are consistent.However,the performance of the metrics on the test set is poor.I wonder if the code you uploaded to Github has been modified in the future?Or could you please tell me any details I might have overlooked?
In addition,I ran the original code from the website and found that the HRNet_M2MRF_C seemed to perform worse than HRNet,and the results were quite different from those reported in the paper.The results of the two types of networks are shown in figures.Could you please tell me what the problem is?Am I missing something?
Looking forward to your reply.Thank you!
HRNet
HRNet_M2MRF_C

@haotianll
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Hi, are these results from IDRiD testing set?
Do you use the pretrained model to get the results? Or do you train from the begining following the provided config file?

@tanfy929
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tanfy929 commented Aug 25, 2022

Yes,the results are from the IDRID dataset and I have used the pretrained model,with no modifications to the configuration files in the source code.
Perhaps you could send the log file of the code running?I can check the details.Thank you!

@haotianll
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How about the testing performance of model here?
Do you run the offline augmentation in "tools/augment.py"?

@tanfy929
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tanfy929 commented Aug 25, 2022

I ran the code on GitHub directly according to the 'Read Me' document, including the augmentation part, and the results are attached to the figures in the issue I raised.The results in the figures are the metrics from the IDRID test.

@haotianll
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Could you provide the testing performance of this given model?

@tanfy929
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OK!
M2MRF_C
model

@haotianll
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This result looks correct.
Could you please provide the full training log of your previous result?

@tanfy929
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Ok! I have uploaded both log files of HRNet_M2MRF_C and HRNet.Thank you very much!

HRNet_M2MRF_C-log.log
HRNet-log.log

@haotianll
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haotianll commented Aug 25, 2022

Thank you!
How many gpus do you use for the training? The reported results are trained on 4 gpus with a total batch size of 4.

@tanfy929
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I used single GPU and the batch size is 1.Does batch will have such a big impact on the metrics?
I am not sure if there is something wrong with the parameter settings that I am not aware of.Would it be convenient for you to send me your running log?Or is it convenient for you to provide your email address?We can communicate further.Thank you!

@haotianll
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The batch size will affect layers like batch normalization. And I think your other settings are okay.
If batch size is 1, one alternative solution is to train the model with a smaller learning rate and more iterations, but I'm not sure whether it can achieve similar results as reported.
For more questions, please contact me by haotianliu001@hotmail.com

@tanfy929
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All right! I'll try again
Thank you very much!

@haotianll
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You are welcome~

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