mne-tools / mne-tools/mne-python
coregistration GUI icons
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 1.6k
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 100
Description
I get the following GUI when during coregistration:

If you notice carefully, the icon next to "Omit" is showing exclamation mark and the "-" and "+" sign that is expected for delta X, delta Y etc is missing. Here is my sys info:
Platform: macOS-10.15.6-x86_64-i386-64bit
Python: 3.7.4 (default, Aug 13 2019, 15:17:50) [Clang 4.0.1 (tags/RELEASE_401/final)]
Executable: /Users/mainak/anaconda3/bin/python
CPU: i386: 4 cores
Memory: 8.0 GB
mne: 0.23.dev0
numpy: 1.17.3 {blas=openblas, lapack=openblas}
scipy: 1.3.1
matplotlib: 3.3.2 {backend=MacOSX}
sklearn: 0.23.2
numba: 0.45.1
nibabel: 3.1.0
nilearn: 0.6.2
dipy: 1.1.1
cupy: Not found
pandas: 0.25.0
mayavi: 4.7.1
pyvista: 0.26.0 {pyvistaqt=0.2.0, OpenGL 4.1 INTEL-14.7.8 via Intel(R) HD Graphics 6000}
vtk: 8.1.2
PyQt5: 5.13.0
Furthermore, a couple of usability comments:
- "Guess subject from name" should be unchecked by default? The issue is if you have already checked the subject, and then you load the MEG file, it changes the subject. So it becomes annoying to replace it again.
- It might be helpful to have the fiducials below and above the surface in different color? Not sure if it's worth the effort but mne_analyze does this ...
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or code entry point is named. Start by reproducing the coregistration GUI on the reported macOS/PyQt5 setup and locate the code responsible for the Omit and delta-value icons. Done should address the missing icons and consider the reported subject-selection behavior; the fiducial color suggestion is optional.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- desktop
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100