Image variations using Dall-E#
In this notebook we will use Dall-E 2 to vary an image. Image variations can be useful for producing multiple example images and studying if algorithms, e.g. for segmentation, are capable to process these images. For convenience reasons, we will use the Darth-D library to process the image.
from darth_d import vary
from skimage.io import imread
import stackview
As examaple image we use this image.
image = imread("../../data/blobs.tif")
stackview.insight(image)
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output_image = vary(image)
output_image
C:\Users\haase\mambaforge\envs\t310\lib\site-packages\darth_d\_vary.py:36: UserWarning: Using the vary function on scientific images could be seen as scientific misconduct. Handle this function with care.
warn("Using the vary function on scientific images could be seen as scientific misconduct. Handle this function with care.")
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darth-d made image
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Exercise#
Load the human_mitosis example from scikit-image and vary it.
from skimage.data import human_mitosis
image = human_mitosis()