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load_CNMF()
and it will load results from mesmerize once we have reached the ROI viewer stage? Is it as simple as Transmission.to_hdf5
: does that contain the estimates object needed for caiman to load?
mesmerize/viewer/modules/caiman_dfof.py
which is basically the same as the load_CNMF()
from hdf5 but does it from dict. (not sure if there's a function now that loads it from dicts)
t.df['ImageInfoPath']
esimates.C
bas_nonneg=True
in the Use CNMF kwargs
box just as you would enter the kwarg in a script http://docs.mesmerizelab.org/en/master/user_guides/viewer/modules/cnmfe.html
In the mesmerize environment in a Jupyter notebook, trying to start a cluster cm.cluster.setup_cluster()
I get an error that there is already one running (even if this is the first command I try to run: Exception: A cluster is already runnning. Terminate with dview.terminate() if you want to restart.
).
I assume mesmerize environment fires up threads by default or something? I wonder if I can just access these and feed as argument to dview
in setup_cluster()
, or can I access/terminate the mesmerize cluster within Jupyter?