The ipyannotations library is designed to let you create rich annotations
for your data (currently, primarily images) inside jupyter notebooks. It lets
you leverage the rich jupyter display system from python. It was designed to
integrate with superintendent, but does not need to.
For example, draw polygons onto images for your machine learning applications:
Start by installing ipyannotations:
$ pip install ipyannotations
If you are using Jupyter Lab, rather than the old Jupyter Notebook application, you will also have to install two Jupyter Lab extensions:
$ jupyter labextension install @jupyter-widgets/jupyterlab-manager ipycanvas
$ jupyter lab build
It's super helpful to have other people contribute to projects like this, so please fork this repository and make pull requests!
ipyannotations uses flit to manage the packaging, so the easiest way to use
it is to set up a virtual environment, install ipyannotations as a symlink,
and go from there:
git clone git@github.com:<your-username>/ipyannotations.git && cd ipyannotations
pre-commit install
python -m venv .venv
flit install --symlink --python .venv/bin/python
jupyter labextension install @jupyter-widgets/jupyterlab-manager ipycanvas
jupyter lab build