Comments (5)
Hi Walter,
Nice to hear from you :) All great points, and something that, I agree, should be added to UniRes. The starting point I guess would be to make NITorch available in pypi. I will begin looking into this asap and possibly ask your assistance - thank you for offering!
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Hi Mikael,
You could start by explicitly listing nitorch as a (github) dependency in your setup.py and pin it to a specific commit that you know works well with UniRes. Some pointers here: https://stackoverflow.com/questions/55146691
I would also add [all] at the end of the URL so that all optional dependencies to nitorch are installed (nibabel, etc).
Happy to help with this ;)
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Hi @Warvito
Sorry this took ages, but I just pushed a PR that should sort out the dependency issue:
Could you maybe try this, when you have the time, and let me know if it works for you?
I will then merge it into main. Then I will create a release tag, as requested :)
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Also @Warvito, if you are happy to help me get UniRes onto pypi, that would be great!
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Hi @Warvito,
@balbasty managed to test the changes that I made to the setup.py and it all worked on the GPU. Therefore, I created a release tag:
https://github.com/brudfors/UniRes/releases/tag/v0.1
Hope it is helps :)
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Related Issues (11)
- Deal with cross-talk?
- Boolean values are difficult to set in the command-line tool HOT 1
- Pre-conditioning CG
- nitorch.core.datasets.download_url name change HOT 2
- preprocessing with Label HOT 7
- Implement projection operator as torch layer
- Question about how to create low-resolution images from high-resolution images to run on UniRes HOT 1
- Support read/write nifti when large number of observations. HOT 1
- Check accuracy of noise estimate
- Refactor into modules instead of using a Class
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