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The 3D visualisation tutorial uses the spectral colormap together with random path labels to get a categorical visualisation. However, it would be convenient to make the categorical colormap match the napari labels colormap. One way to achieve this might be:
create the path feature table (skan.summarize)
add a column that uses napari's low_discrepancy_image to map the path_id + 1 to the same float that napari is using
use the napari labels colormap directly on the shapes layer
The text was updated successfully, but these errors were encountered:
The 3D visualisation tutorial uses the spectral colormap together with random path labels to get a categorical visualisation. However, it would be convenient to make the categorical colormap match the napari labels colormap. One way to achieve this might be:
skan.summarize
)The text was updated successfully, but these errors were encountered: