Comments (5)
Oh okay. Was asking because it would be great if I can wrap up the conda recipe first, so that all subsequent builds will get picked up automatically. π
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BTW, I am more than happy to add anyone else as maintainer for that recipe. conda recipes automatically update themselves with every push to pip, so there is minimal overhead.
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A conda recipe would be great! Thanks for this. Definitely happy for the contribution. Just FYI, I am in the process of a major refactor (see https://github.com/jcreinhold/intensity-normalization/tree/refactor). Let me know if you need any information/help from me.
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Sounds good. Don't think I would need anything from you at this point. Do you have a timeline on when you will be merging the refactor upstream and pushing a new pip build out?
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I just moved to a different city so the refactor was put on hold, but I should be able to get around to it by the end of the week.
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Related Issues (20)
- Support printing version information HOT 1
- Add/check Python v3.10 support HOT 3
- Add a citation file
- Improve contributing information
- Add numpy mypy plugin HOT 1
- Improve unit tests HOT 1
- Verify correctness of update to use pymedio HOT 1
- Fix mypy issues in update to use pymedio HOT 2
- Add note about scanner gain in MR pulse sequence equations
- Add pre-commit hooks HOT 1
- Add option to specify output file type
- What is the "MD" modality? And other questions. HOT 14
- Out-of-memory error in Nyul for large amounts of data HOT 4
- `intensity-normalization` not working in Google Colab HOT 1
- "TypeError: Axis must be specified when shapes of a and weights differ." in the LSQ method
- problems when importing the API HOT 1
- request for tutorial of Z score HOT 9
- Update docs in the style of DiΓ‘taxis
- Fix histogram plotting when passing in a tissue mask in FCM normalizer
- Using normalization methods -- bash HOT 1
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