I have installed mne on wsl by installing miniconda and then following the linux installation instructions. My problem comes with visuaizations, I just don’t know how to set it up.
When I try to install the dependencies for a linux headless server:
conda install -c conda-forge "vtk>=9.2=*osmesa*" "mesalib=21.2.5"
I get this errors:
LibMambaUnsatisfiableError: Encountered problems while solving:
- package xorg-libx11-1.8.9-hb711507_1 requires libxcb >=1.16,<1.17.0a0, but none of the providers can be installed
But are they even needed?
What is the correct procedure to use mne on wsl? I could not find any information about it.
sys_info()
Platform Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
Python 3.12.5 | packaged by conda-forge | (main, Aug 8 2024, 18:36:51) [GCC 12.4.0]
Executable /home/edoardo/miniconda3/envs/mne/bin/python
CPU x86_64 (8 cores)
Memory 7.6 GB
Core
├☑ mne 1.8.0 (latest release)
├☑ numpy 1.26.4 (OpenBLAS 0.3.27 with 8 threads)
├☑ scipy 1.14.1
└☑ matplotlib 3.9.2 (backend=module://matplotlib_inline.backend_inline)
Numerical (optional)
├☑ sklearn 1.5.1
├☑ numba 0.60.0
├☑ nibabel 5.2.1
├☑ nilearn 0.10.4
├☑ dipy 1.9.0
├☑ openmeeg 2.5.12
├☑ pandas 2.2.2
├☑ h5io 0.2.4
├☑ h5py 3.11.0
└☐ unavailable cupy
Visualization (optional)
├☑ pyvista 0.44.1 (OpenGL 4.5 (Core Profile) Mesa 24.2.1 via llvmpipe (LLVM 18.1.8, 256 bits))
├☑ pyvistaqt 0.11.1
├☑ vtk 9.3.1
├☑ qtpy 2.4.1