tphankr

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Thank you @TheoEst, Although your code made difficultly for me a lot, for example: I don't see where is the "save" folder. But I can, now. Please help me step...

Thank you @TheoEst, Four days, I tried downloadly and run your code. Only passed the first step is "python3 -m abdominal_registration.main...", as following: ![image](https://user-images.githubusercontent.com/37217354/132243476-3a661630-6d35-4ac4-86be-668f40beb0f1.png) 1) **Can I skip the "Pretrain"...

Thank you very much @TheoEst, Now I will continous from your advises. Thank you @TheoEst .

> 2. You can do directly the **Prediction** step without doing the **Pretrain** step. The pretrain step increase the results as detailed here : https://github.com/TheoEst/abdominal_registration#performances . But it is not...

Yes, thank you @TheoEst, I just have to write --val and --train with no equal but had the error "predict_reg.py: error: ambiguous option: --val could match --val-batch-size, --val-crop-size, --val-cohorts" I...

Thank you for your reply, My issue is to **do not run yet "the Pretrain" step to predict.** It notificate the error, as above (about "-- val could match --val-batch-size,...

Thank you @TheoEst, Allow me give you the results when ran the comment line (python -m abdominal_registration.predict_reg -h): ![image](https://user-images.githubusercontent.com/37217354/148874376-090bba29-1452-4f37-9cb2-535934d84100.png). Thank you @TheoEst .

Thank you, @TheoEst. I did not modify anything and my python version is 3.8.3. ------------ My processing, as following:--------- When I trained complely without the pretrain step, I had the...

> It just stops at > 2. Run the training on GPU with nohup > without running any epoches @boba1234 It means, we had like this, it is okies: ![image](https://user-images.githubusercontent.com/37217354/128612017-cfa03bcd-dcbc-402f-88cd-da03fcadf865.png)...

Please help, I face the error: No module named 'kits21'. ![image](https://user-images.githubusercontent.com/37217354/146984000-aa7e0e6f-9123-45d5-bffb-57e9368277e5.png) I also tried to do but at the third step ( pip install -e in the setup.py is localed...