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An optional "pre-processing" step could be processing the list of files with an external command, e.g. a Fiji script called from the command line. This allows running an arbitrary segmentation while still using the filter
and sample
functionality of this repository.
The best entry point is probably the source folder (as it's a single parameter), but also the list of files would be possible.
Use case:
- Run Fiji script to call Weka Trainable Segmentation, write output masks to new folder
- Return the list of files, so we can hand it over to
_process_tif
, with an option to skip thesegment
step (i.e. only runlabel
). - Process
filter
andsample
as usual.
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