Note
Go to the end to download the full example as a Python script or as a Jupyter notebook.
Labels 2D#
Display a labels layer above of an image layer using the add_labels and
add_image APIs
The color of label 5 is [0.2784314 0.22745098 0.62352943 1. ]
from skimage import data
from skimage.color import rgb2gray
from skimage.segmentation import slic
import napari
astro = data.astronaut()
# initialise viewer with astro image
viewer = napari.view_image(rgb2gray(astro), name='astronaut', rgb=False)
# add the labels
# we add 1 because SLIC returns labels from 0, which we consider background
labels = slic(astro, channel_axis=-1, compactness=20) + 1
label_layer = viewer.add_labels(labels, name='segmentation')
# Set the labels layer mode to picker with a string
label_layer.mode = 'PICK'
print(f'The color of label 5 is {label_layer.get_color(5)}')
if __name__ == '__main__':
napari.run()