Julien Cohen-Adad

> Just out of curiosity, though, do we have any sample VENC sequences that aren't private? (For the purposes of writing a test, etc.) I think we do have that,...

thank you for digging, yes, the images need to be scaled, this is partly dealt with by this function: https://github.com/spinalcordtoolbox/spinalcordtoolbox/blob/b85c6446e075d8b1e23ed6c2decba6799fc44a29/spinalcordtoolbox/qmri/flow.py#L70-L77 then, there are some assumptions about the phase being between...

> What did you specify for the -venc argument when you ran the command? this is how we can quantify (in physics unit) the velocity, based on the gradient amplitude...

ah! sorry, that would be venc=20 (that's the "20" in "tra_20through-plane_P")

oops tests failing..

i let you merge @joshuacwnewton

Removed priority low on this one-- it would be a very useful feature to have 😊 Eg: another thing I was trying to do, and all it did was 'thr'...

> we should be able to preserve the order of the arguments and apply them in order (should that matter). Yes, that does matter a lot indeed. Good call! Thank...

Thank you for reporting this issue @po09i. I can reproduce it on my local station. Possible cause (and solution): ~~~ Preparing metadata (setup.py): finished with status 'error' error: subprocess-exited-with-error ×...

Hum, nevermind. We already use `scikit-learn`: https://github.com/spinalcordtoolbox/spinalcordtoolbox/blob/c7a8072fd63a06a2775a74029c042833f0fce510/requirements.txt#L43 Maybe the issue comes from another library (eg ivadomed?) EDIT: it is coming from nilearn (as mentioned by @po09i )