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yves-weissenberger / twoptb

Python toolbox for analysing data from two photon imaging experiments
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Sharing ROIs across sessions #13

Closed QNeuron closed 6 years ago

QNeuron commented 6 years ago

Hi,

I used the classifier with the default parameters, and it creates different ROI masks for different files. In my case, all the data is collected in one session from the same area, so the files in the same folder should share the same ROI mask. I think the function share_roi_info.py should do it, but I run into an error (see after). My question is twofold : can I tell the run_roi_finder.py to apply the same ROI mask to all files, and if not, what's wrong with the share_roi_info.py ?

error : (base) D:>python D:\Work\Code\gitDev\twoptb\twoptb\ROIs\share_roi_info.py D:\Wo rk\Data\twopi\rawFerret\Nala2\processed\Nala2_area04\Nala2_area04.h5 C:\Users\dpag0680\AppData\Local\Continuum\anaconda2\lib\site-packages\h5py__ini t__.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.floa t64 == np.dtype(float).type. from ._conv import register_converters as _register_converters Traceback (most recent call last): File "D:\Work\Code\gitDev\twoptb\twoptb\ROIs\share_roi_info.py", line 69, in < module> with h5py.File(hdf_path,'a',libver='latest') as hdf: NameError: name 'hdf_path' is not defined

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yves-weissenberger commented 6 years ago

This option is currently not included and it runs via the share_roi_info command. There was just a minor typo as far as I could tell. Let me know if current push fixes the problem

QNeuron commented 6 years ago

Works like a charm. Thanks