Coregistration: Placing fiducials manually?

Hi Richard,

I can’t produce a screen recording right away, but I can explain it and attach a screenshot. So I would expect that when I select one of the 3 fiducials on the left and then click somewhere on the head, that the fiducial symbol would be placed there (and the x,y,z coordinates would change). But that doesn’t happen, nothing happens. If I change the entry for X or Y or Z, the fiducial symbol moves accordingly (though slowly). If I click on the head and hold the mouse button pressed and move the mouse, I can rotate the head, as in the previous versions of MNE.

I’ve tried this now on two different systems, for both I installed MNE via conda/mamba (I first tried it with the downloadable installer on system 1, but that didn’t work out).

Output of mne.sys_info() on system 1:
Platform: Windows-10-10.0.19042-SP0
Python: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 06:57:19) [MSC v.1929 64 bit (AMD64)]
Executable: C:\ProgramData\Anaconda3\envs\mne\python.exe
CPU: Intel64 Family 6 Model 63 Stepping 2, GenuineIntel: 8 cores
Memory: 31.9 GB
mne: 1.0.3
numpy: 1.22.4 {blas=NO_ATLAS_INFO, lapack=lapack}
scipy: 1.9.0
matplotlib: 3.5.2 {backend=module://matplotlib_inline.backend_inline}

sklearn: 1.1.1
numba: 0.55.2
nibabel: 4.0.1
nilearn: 0.9.1
dipy: 1.5.0
cupy: 11.0.0
pandas: 1.4.3
pyvista: 0.35.2 {OpenGL 4.5.0 NVIDIA 473.47 via Quadro K4200/PCIe/SSE2}
pyvistaqt: 0.9.0
ipyvtklink: 0.2.2
vtk: 9.1.0
PyQt5: 5.15.7
ipympl: Not found
pooch: v1.6.0
mne_bids: Not found
mne_nirs: Not found
mne_features: Not found
mne_qt_browser: 0.3.1
mne_connectivity: Not found

and system 2:
Platform: Windows-10-10.0.17763-SP0
Python: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 06:57:19) [MSC v.1929 64 bit (AMD64)]
Executable: D:\ProgramData\Anaconda3\envs\mne103\python.exe
CPU: Intel64 Family 6 Model 85 Stepping 7, GenuineIntel: 48 cores
Memory: 767.7 GB

mne: 1.0.3
numpy: 1.22.4 {blas=NO_ATLAS_INFO, lapack=lapack}
scipy: 1.9.0
matplotlib: 3.5.2 {backend=module://matplotlib_inline.backend_inline}

sklearn: 1.1.1
numba: 0.55.2
nibabel: 4.0.1
nilearn: 0.9.1
dipy: 1.5.0
cupy: 11.0.0
pandas: 1.4.3
pyvista: 0.35.2 {OpenGL 4.5.0 NVIDIA 451.22 via Quadro RTX 8000/PCIe/SSE2}
pyvistaqt: 0.9.0
ipyvtklink: 0.2.2
vtk: 9.1.0
PyQt5: 5.15.7
ipympl: Not found
pooch: v1.6.0
mne_bids: Not found
mne_nirs: Not found
mne_features: Not found
mne_qt_browser: 0.3.1
mne_connectivity: Not found

1 Like