kushalkolar on master
Update README.md (compare)
kushalkolar on master
Update README.md (compare)
kushalkolar on v0.7.2
kushalkolar on master
Update README.md (compare)
kushalkolar on master
docs on how to open imaging dat… Merge pull request #106 from ku… (compare)
kushalkolar on h5-open-viewer-docs
docs on how to open imaging dat… (compare)
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?