"""
Display one markers layer ontop of one 4-D image layer using the
add_markers and add_image APIs, where the markes are visible as nD objects
accross the dimensions, specified by their size
"""
import numpy as np
from skimage import data
from napari import ViewerApp
from napari.util import app_context
with app_context():
# TODO: change axis back to 0 once dims displayed in sane order
blobs = np.stack([
data.binary_blobs(
length=128, blob_size_fraction=0.05, n_dim=3, volume_fraction=f)
for f in np.linspace(0.05, 0.5, 10)
],
axis=-1)
viewer = ViewerApp(blobs.astype(float))
# add the markers
markers = np.array([[100, 100, 0, 0], [50, 120, 0, 0], [100, 40, 1, 0],
[110, 20, 100, 2], [400, 100, 10, 8]])
viewer.add_markers(markers,
size=[10, 10, 6, 0],
face_color='blue',
n_dimensional=True)
"""
Display one markers layer ontop of one image layer using the add_markers and
add_image APIs
"""
import numpy as np
from skimage import data
from skimage.color import rgb2gray
from napari import ViewerApp
from napari.util import app_context
print("click to add markers; close the window when finished.")
with app_context():
viewer = ViewerApp(rgb2gray(data.astronaut()))
markers = viewer.add_markers(np.zeros((0, 2)))
markers.mode = 'add'
print("you clicked on:")
print(markers.coords)
import numpy as np
from skimage import data
from skimage.color import rgb2gray
from napari import ViewerApp
from napari.util import app_context
with app_context():
# create the viewer and window
viewer = ViewerApp()
# add the image
viewer.add_image(rgb2gray(data.astronaut()))
# add the markers
markers = np.array([[100, 100], [200, 200], [333, 111]])
size = np.array([10, 20, 20])
viewer.add_markers(markers, size=size)
# unselect the image layer
viewer.layers[0].selected = False
# adjust some of the marker layer properties
layer = viewer.layers[1]
# change the layer name
layer.name = 'spots'
# change the layer visibility
layer.visible = False
layer.visible = True
# change the layer selection