Annotate data in jupyter notebooks.
ipyannotations: create rich annotations in jupyter notebooks.
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
superintendent, but does not need to.
For example, draw polygons onto images for your machine learning applications:
Start by installing
$ 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 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!
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 firstname.lastname@example.org:<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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size ipyannotations-0.2.1-py3-none-any.whl (17.3 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size ipyannotations-0.2.1.tar.gz (6.7 MB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for ipyannotations-0.2.1-py3-none-any.whl