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License: GNU General Public License v3.0
Local termination pattern analysis in python
License: GNU General Public License v3.0
"Underlying c++ object has been deleted"
We should have something that works with pip or easy_install to install dsi2 as a library
Should there be a collection for each parcellation scheme?
Should each subject have a single document containing the voxel mapping?
Should authentication be built into the DB? Or do we assume that users will be accessing data locally?
What should we do about the actual streamlines? Use GridFS? What about PyTables?
Currently TrackDataSource only works with TrackDatasets that have been load into memory. This is a big limitation as the database grows.
A preliminary version of a MongoDB backend is in dsi2.database.tables
and dsi2.database.parallel
.
These settings are currently ignored
The gui loops all have print statements that should be converted to logging commands.
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