@haehn issue added here nipy/dipy#1936 and targeted for release 1.1 aimed in October.
Thank you so much @Garyfallidis ! I will follow the DPY issue and also try the NPZ.. then I will compare file size against the TRK and VTP formats.
Casa Mofoekeng 'Moso
Hello, I am trying to implement Python code when given the names and GPS positions of 750 people (latitude, longitude and elevation) to find the names of the 10 closest neighbors of a randomly selected individual.
This is not the right channel for this question @CasaMofoekengMo_twitter but hey you can google KNN and python I am sure they will be many solutions available. Best of luck.
I wonder if the dipy CSA implementation supports multiple b values. Many thanks!
Hi all, could someone give me an hand ?
see that: import dipy print(dipy.version) >>>> 1.0.0 It's ok but
import dipy.viz import window, actor >>>>Gives an error, I just wondering why ? File "<ipython-input-61-930dc3d62dde>", line 6 import dipy.viz import window, actor ^ SyntaxError: invalid syntax
@portokalh it will give reasonable result. Like an average ODF from the different shells. Make sure the shells are all spherical.
@romainviard from dipy.viz import window, actor
@Garyfallidis Sorry I made an mistake when I wrote on gitter..."from dipy.viz import window, actor " didn't work on dipy1.0.0 (python 3) but works on dipy 0.14.0 (python 2.7), Do you confirm that it should work with the last version of dipy ? Thanks you
Have you installed fury?
pip install fury
And yes it should work. I do confirm.
thanks much @Garyfallidis !
thanks @Garyfallidis you were right!!
what would need to be done for registration in dipy to support masked images
looks like adding properties to MutualInformationMetric
Hi dipy's folks, I'm using the great function dipy.stats.analysis.afq_profile… And I 'm wondering two things :
Is it better to compute the profile on the full track/bundle (so multiple fibers) or on only one fiber (a cluster obtained using QuickBundles for example)?
If I want to do stats on different profiles (for example mean FA on the same tract for various subjects), how would you advice to correct statistics(multiple comparison, and espacially spacial correlation,) with Random Field Theory or another one ? In pratical with python and scipy ? Thanks a lot in advance,
Anyone know does DIPY can do diffusion compartment imaging study?