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pruning: do we mark as pruned or delete and return new Skeleton?
Some potentially useful functions:
mapping from coordinates to path id. This would allow e.g. picking from a shapes layer.
need to build a cKDTree of only valid coordinates from Skeleton.coordinates. Note that skeleton.coordinates contains some dummy coordinates because some pixel ids become invalid during skeleton construction.
With upcoming PR from @kevinyamauchi, we should be able to do:
skeleton=Skeleton(...)
summary=summarize(skeleton)
summary['index'] =np.arange(summary.shape[0]) +1# not sure about this onelabel_layer=napari.view_labels(np.asarray(skeleton), properties=summary)
label_layer.color='main'
Other ideas:
displaying skeleton branches as Shapes layer. BUT, Shapes is still slow for many shapes. Need to improve performance there before this is practical.
The text was updated successfully, but these errors were encountered:
Some functionality ideas requested by @kevinyamauchi:
Some potentially useful functions:
With upcoming PR from @kevinyamauchi, we should be able to do:
Other ideas:
The text was updated successfully, but these errors were encountered: