Now on PyPi!! Still a little rough around the edges, but definitely usable at this point
Currently you can only control loading images or changing to erasing programmatically. PRs to add controls using ipywidgets very welcome :)
manual image segmentation in jupyter
You can install using pip
:
pip install ipysegment
If you use jupyterlab make sure you have installed jupyterlab-manager
conda install -c conda-forge nodejs=12
jupyter labextension install @jupyter-widgets/jupyterlab-manager
If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:
jupyter nbextension enable --py [--sys-prefix|--user|--system] ipysegment
# First install the python package. This will also build the JS packages.
pip install -e ".[test, examples]"
When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:
jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
jupyter labextension install .
For classic notebook, you can run:
jupyter nbextension install --sys-prefix --symlink --overwrite --py <your python package name>
jupyter nbextension enable --sys-prefix --py <your python package name>
Note that the --symlink
flag doesn't work on Windows, so you will here have to run
the install
command every time that you rebuild your extension. For certain installations
you might also need another flag instead of --sys-prefix
, but we won't cover the meaning
of those flags here.
To continuously monitor the project for changes and automatically trigger a rebuild, start Jupyter in watch mode:
jupyter lab --watch
And in a separate session, begin watching the source directory for changes:
npm run watch
After a change wait for the build to finish and then refresh your browser and the changes should take effect.
If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.