-
Notifications
You must be signed in to change notification settings - Fork 8
Accumulator for development outlined in #5 #4
Conversation
Tested to be capable of converting the functional demo dataset.
Finish magdeburg-style script
perhaps we can use neurodocker to generate both the docker and singularity containers? or just docker and then use singularity to pull it. example for your fsl script:
replace docker with singularity to generate the singularity script. and correspondingly for heudiconv:
another reason i say this is because i will be covering neurodocker as a way to create environments in the workflow part. |
@satra sounds good. |
@mih - if datalad is setup like this, i.e. itself a container:
would the current script in this PR work? |
fixed neurodocker versions: fsl:
heudiconv:
|
@yarikoptic and @mih: should i go ahead and test this script out with the neurodocker containers? are there any changes you are envisioning? |
heudiconv with reprozip
fsl with reprozip
|
@mih - testing on system with current datalad master installed.
|
datalad installed with:
|
into matt's current virtualbox vm (if other things should be added to configuration - please add to #15) |
Sorry, the script had a typo from a hand-edit that I didn't fix yet: There cannot be NO space between -d and '.' I pushed the fix. |
@mih - next error: |
sudo pip3 install https://github.com/datalad/datalad-container/archive/master.zip and anticipating the next error ;-) sudo pip3 install https://github.com/datalad/datalad-neuroimaging/archive/master.zip |
We have a container with datalad to run datalad containers. The singularity part of it should work, but you know that time slows dramatically this many level down. |
also implants many new memories. datalad may never remember the reality! |
@mih - since all of this takes place in a |
The tempdir is just for being able to run this script repeatedly as a demo. Look for |
@mih - merging this for now so i can test a few things. |
There is no need or benefit merging this before it is done. It main purpose is to make the effort transparent.
Resources:
Images combined are sufficient to go from DICOM to GLM results for the demo functional dataset.
Script is coming.