creates cropped volume and JW structure (for visualization) based on input render folder and swc file
'navigator.py -i <data_folder> -s <swc_file> -o <output_folder>'
-i <data_folder>: input data folder. Folders should follow octree format, e.g. <data_folder>/1/5/6
-s <swc_file>: input swc_file or folder. for *swc files 7 column conventional reconstruction format.
-o <output_folder>: folder to create h5 and JW files
-h <number_of_level>: [OPTIONAL] sets how many chunks around trace will be used
NOTES:
oct in [1...8]
grid in [0...(2**depth-1)]
we keep mouselight data in <root>/<neuron-id>/consensus/<tag>_consensus.swc format, e.g.:
/groups/mousebrainmicro/mousebrainmicro/shared_tracing/Finished_Neurons/2018-08-01/G-002/consensus/2018-08-01_G-002_consensus.swc
it is suggested to copy all consensus files for that sample into a single folder manually or with a script than pass input folder with "-f" argument.
For example:
cd /groups/mousebrainmicro/mousebrainmicro/shared_tracing/Finished_Neurons/2018-08-01
find . -name "*consensus*.swc" -exec cp {} /groups/mousebrainmicro/home/base/CODE/MOUSELIGHT/navigator/data/swc_recons/2018-08-01 \;