Blend between multiple images using a cell magic in JupyterLab using compare_view.
This project was called jupyter-splitview before.

pip install jupyter_compare_view

import jupyter_compare_view

%%compare  
from skimage import data
from skimage.color import rgb2gray
import matplotlib.pyplot as plt

img = data.chelsea()
grayscale_img = rgb2gray(img)

plt.imshow(img)
plt.axis("off")
plt.show()

plt.imshow(grayscale_img, cmap="gray")
plt.axis("off")
plt.show()

Another example:

from jupyter_compare_view import compare

compare(img, grayscale_img, cmap="gray", start_mode="horizontal", start_slider_pos=0.73)

The split view widget is still responsive after closing and reopening the notebook without running the cell again.

(Might still change in future)

• --config '{"start_mode": "horizontal"}' will init the compare-view in horizontal slider mode.

• --config '{"circle_size": 30}' the circle size is now 30 pixel in circle mode.

• --config '{"show_slider": false}' will hide the slider bar.

• --config '{"start_slider_pos": 0.73}' will set the slider start position to 73%.

  • Removed in 0.1.1: --position 73% will no longer the slider start position to 73%.

• --config '{"start_mode": "horizontal","start_slider_pos": 0.73}' will both set the start mode to horizontal and set the slider position

• --height 220 will set the height to 220 pixel.

• When --heightis not provided, the default height of the widget is 300 pixel.

• --height auto will set the height by the value of the first image's resolution in vertical direction.

• The widget's width will always be adjusted automatically.

Formatting with black can be done this way:

1. pip install 'black[jupyter]'
2. black --python-cell-magics compare compare_view_magic.ipynb

jupyter_compare_view fully supports offline interactive HTML exports. The web library compare_view is inlined into the exported HTML document. Therefore, the export is viewable without an internet connection.

1. git clone --recurse https://github.com/Octoframes/jupyter_compare_view (Note: In case that the repo was already cloned e.g. with the GitHub Desktop client, the GitHub submodule has to be loaded via git submodule update --init --recursive)
2. poetry install

Note: The IPython extension autoreload reloads modules before every cell execution. Very useful when debugging the %%capture cell magic! Just add these lines into the first jupyter cell.

%load_ext autoreload
%autoreload 2
import jupyter_compare_view

CHange to importlib #48

Remove setuptools dependency

• Remove python3.7 support #46
• fix jupyterlite example

• Support python 3.11

• Implemented capture to display the compare view frame without calling the cell magic. This is not an ipywidget as mentioned here.
• Update version requirements #42

• BugFix: Remove black import that was added by accident.

• %%compare is now %%splity. %%splity is deprecated.
• Update examples

• octoframes github actions setup

• Move the repo from kolibril13/jupyter-spitview to octoframes/jupyter_compare_view
• Rename all references

• Drop the github.com/NUKnightLab/juxtapose backend and replace it with github.com/Octoframes/compare_view.
• Implement horizontal slider
• Implement Round Mask

• Update dependencies
• Update JupyterLite version
• Fix: in JupyterLite, a figure has to be explicitly called by plt.show()
• Better installation workflow

• Fixing problem with cell id and notebook reloading
• Experimentally lowering the dependencies to ipython = ">=6.0.0" and ipykernel = ">=5.0.0" so that jupyterlite will work hopefully.

• Rewrite of the import of JavaScript and CSS to make it more robust when closing and opening the notebook
• First attempt to add a JupyterLite example.

Fix poetry workflow

• Ship the javascript directly with the package, so no internet connection is required
• use jinja2 to save HTML in separate file
• load stylesheet and javascript only once in the beginning, and not in every cell that contains the splitview widget.

• New --height parameter

• default slider position
• updated minimal example
• internal code restructuring and formatting
• Handle import in non jupyter context

• save images in base64 strings and don't load images to disk (increases package security).

• First release