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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 the segment step (i.e. only run label).
Process filter and sample as usual.
The text was updated successfully, but these errors were encountered:
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
andsample
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:
_process_tif
, with an option to skip thesegment
step (i.e. only runlabel
).filter
andsample
as usual.The text was updated successfully, but these errors were encountered: