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I am working with diffusion MRI data and I have been using Dipy package for my studies. Recently in-order to visualize the tractography of whitematter I used fury, even time I run the following command.
`from dipy.viz import window, actor, has_fury
if has_fury:
scene = window.Scene()
scene.add(actor.peak_slicer(csa_peaks.peak_dirs,
csa_peaks.peak_values,
colors=None))
window.record(scene, out_path='csa_direction_field.png', size=(900, 900))
if interactive:
window.show(scene, size=(800, 800))`
the kernel dies and it says that it will automatically restart, I tried almost all the solutions that I was able to find in the previous issues.
I thought maybe this might be issue with space and also tried with a new GPU
and I still get this error.
Using Dipy package
I am working with diffusion MRI data and I have been using Dipy package for my studies. Recently in-order to visualize the tractography of whitematter I used fury, even time I run the following command.
`from dipy.viz import window, actor, has_fury
if has_fury:
scene = window.Scene()
scene.add(actor.peak_slicer(csa_peaks.peak_dirs,
csa_peaks.peak_values,
colors=None))
the kernel dies and it says that it will automatically restart, I tried almost all the solutions that I was able to find in the previous issues.
I thought maybe this might be issue with space and also tried with a new GPU
and I still get this error.
I even tried to run only a small explample that was given in
https://fury.gl/dev/auto_tutorials/01_introductory/viz_texture.html
and I get the same issue
I tried it with even the pre-release of jupyter notebook
but nothing works.
It would be great if anyone could help me
Thanks
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