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Currently all extracted and separated data are stored as .npy files. A more common storage format would be HDF5, and for some user cases it might also be useful to not store anything at all.
I propose an optional argument like 'file_format', which can be 'npy', 'HDF5', or None.
It wasn't written very well, but that one is for loading hdf5 files into FISSA containing ROIs or imaging data. However we should probably just combine them.
Currently all extracted and separated data are stored as .npy files. A more common storage format would be HDF5, and for some user cases it might also be useful to not store anything at all.
I propose an optional argument like 'file_format', which can be 'npy', 'HDF5', or None.
This relates to #22 and might solve #81 .
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