Created
May 9, 2022 13:58
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Loading an image, adding layers, manipulating layers
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import napari | |
import numpy as np | |
from skimage import data | |
from skimage.color import rgb2gray | |
# Convert the astronaut image to a grayscale | |
astro_im = rgb2gray(data.astronaut()) | |
# Display the astronaut image and also display its negative in a new layer | |
viewer = napari.view_image(astro_im, name='astronaut') | |
viewer.add_image(astro_im*-1, name='negative') | |
# Put the two images next to each other as a grid | |
viewer.grid.enabled = True | |
# The two layers are in a list: | |
viewer.layers | |
# What is in this? | |
viewer.layers[0].__dir__() | |
# The name of the layers | |
[x.name for x in viewer.layers] | |
# Disable both layers then enabel the first one (the original image) | |
viewer.layers[0].visible = False | |
viewer.layers[1].visible = False | |
viewer.layers[0].visible = True | |
# The data the comprise the first layer are here: | |
viewer.layers[0].data | |
# We can invert it to make it a negative image | |
viewer.layers[0].data = viewer.layers[0].data * -1 | |
# Image looks blank because the contrast range is now wrong. | |
# Therefore we reset the contrast limits: | |
viewer.layers[0].reset_contrast_limits() | |
# Flip the raw data up/down | |
viewer.layers[0].data = np.flipud(viewer.layers[0].data) | |
import napari | |
import numpy as np | |
from skimage import data | |
from skimage.color import rgb2gray | |
# Convert the astronaut image to a grayscale | |
astro_im = rgb2gray(data.astronaut()) | |
# Display the astronaut image and also display its negative in a new layer | |
viewer = napari.view_image(astro_im, name='astronaut') | |
viewer.add_image(astro_im*-1, name='negative') | |
# Put the two images next to each other as a grid | |
viewer.grid.enabled = True | |
# The two layers are in a list: | |
viewer.layers | |
# What is in this? | |
viewer.layers[0].__dir__() | |
# The name of the layers | |
[x.name for x in viewer.layers] | |
# Disable both layers then enabel the first one (the original image) | |
viewer.layers[0].visible = False | |
viewer.layers[1].visible = False | |
viewer.layers[0].visible = True | |
# The data the comprise the first layer are here: | |
viewer.layers[0].data | |
# We can invert it to make it a negative image | |
viewer.layers[0].data = viewer.layers[0].data * -1 | |
# Image looks blank because the contrast range is now wrong. | |
# Therefore we reset the contrast limits: | |
viewer.layers[0].reset_contrast_limits() | |
# Flip the raw data up/down | |
viewer.layers[0].data = np.flipud(viewer.layers[0].data) | |
# Invert again and change the colormap | |
viewer.layers[0].data = viewer.layers[0].data * -1 | |
viewer.layers[0].reset_contrast_limits() | |
viewer.layers[0].colormap = "inferno" | |
# Manually alter contrast | |
viewer.layers[0].contrast_limits = [0, 0.75] | |
# Enable the upper, negative image | |
viewer.layers[1].visible = True | |
# Invert again and change the colormap | |
viewer.layers[0].data = viewer.layers[0].data * -1 | |
viewer.layers[0].reset_contrast_limits() | |
viewer.layers[0].colormap = "inferno" | |
# Manually alter contrast | |
viewer.layers[0].contrast_limits = [0, 0.75] | |
# Enable the upper, negative image | |
viewer.layers[1].visible = True | |
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