how to run the code?
Opened this issue · 5 comments
I would like to ask how the file in the test / label is obtained, I put the downloaded image and label in the origin, and then run preprocess.py, when running, an error is reported, showing no files in my test / label. How can I solve it, can you please share the weight of your training and the final result?
I add some sample data to this repo and it can run properly. This repo is just used for an experiment and the dice is 88%, which still has room for improvement. I think the final result can be better if overlap-tiling strategy is used.
Thank you,let me try it out.
According to your updated code, I had the following problem, TypeError: fit() got an unexpected keyword argument 'tensorboard'. But I tested the tensorboard with another code and there was no problem. Since the function tl.utils.fit() reports an error, I deleted the following parameters about the tensorboard, but there is a problem with what(): std::bad_alloc has abandoned (the core has been dumped). I would like to ask if you have any problems when running train.py?
Ok, I will try to change the environment again.