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cpp-lln-lab / CPP_ROI

Set of Octave and Matlab functions, demos and scripts to help manage ROIs and to play nice with BIDS datasets. Mostly volume-based and SPM centric.
https://cpp-roi.readthedocs.io/en/latest/index.html
GNU General Public License v3.0
5 stars 6 forks source link

[ENH] Transfer all atlases to spm atlas #100

Closed Remi-Gau closed 1 year ago

Remi-Gau commented 1 year ago

closes https://github.com/cpp-lln-lab/bidspm/issues/925

codecov[bot] commented 1 year ago

Codecov Report

Attention: Patch coverage is 96.66667% with 1 line in your changes missing coverage. Please review.

Project coverage is 89.48%. Comparing base (582e49a) to head (f071c64). Report is 72 commits behind head on main.

Files with missing lines Patch % Lines
src/atlas/copyAtlasToSpmDir.m 96.55% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #100 +/- ## ========================================== + Coverage 84.50% 89.48% +4.98% ========================================== Files 25 25 Lines 600 618 +18 ========================================== + Hits 507 553 +46 + Misses 93 65 -28 ``` | [Flag](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | Coverage Δ | | |---|---|---| | [macos-latest_matlab-R2021a](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [macos-latest_matlab-R2021b](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [macos-latest_matlab-R2022a](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [macos-latest_matlab-R2022b](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [ubuntu-latest_matlab-R2021a](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [ubuntu-latest_matlab-R2021b](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [ubuntu-latest_matlab-R2022a](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [ubuntu-latest_matlab-R2022b](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [windows-latest_matlab-R2021a](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [windows-latest_matlab-R2021b](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [windows-latest_matlab-R2022a](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | | [windows-latest_matlab-R2022b](https://app.codecov.io/gh/cpp-lln-lab/CPP_ROI/pull/100/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `89.48% <96.66%> (+4.98%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab#carryforward-flags-in-the-pull-request-comment) to find out more.

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