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lfz / DSB2017

The solution of team 'grt123' in DSB2017
MIT License
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Kaggle stage data is not available. Please update the repo. #90

Open nishat-sayyed opened 6 years ago

nishat-sayyed commented 6 years ago

Hello, as you might know, that Kaggle is no longer providing the stage 1 data for this competition. So this repo proves to be of no use. Please update the repo to use only LUNA16 dataset. Or alternatively give some instructions on how to run this code without Kaggle stage 1 dataset.

Thank you.

zhan-zhang commented 6 years ago

just comment out full_preprocessing() in prepare.py and you should be good to go

nishat-sayyed commented 6 years ago

@Ricardo-Zhang Thank you so much for your help. I am really grateful. You saved my day. I just want to know one more thing. As I was researching in this topic, I wanted to know how to run this whole repo? I mean I am going through the code, but I don't understand, which file to run first and so on. Can you please let me know what's the sequence of running this repo? And how does the output actually look like?

And thanks again. I appreciate it.

zhan-zhang commented 6 years ago

checkout run_training.sh

nishat-sayyed commented 6 years ago

@Ricardo-Zhang so run_training.sh is the starting point? We don't need to run any other files after that?

Thank you.

zhan-zhang commented 6 years ago

That's the only thing you need to run for training the entire model

nishat-sayyed commented 6 years ago

@Ricardo-Zhang Thank you for the help. run_training.sh is used for training the whole model. And what about testing? How does the result look like? Have you tried running this repo?