Skip to main content

An interactive image cropping tool for Jupyter Notebooks in Python

Project description

Jupyter Interactive Cropping Widget

An interactive widget to rapidly crop images in Jupyter notebooks.

gif cropper

This widget can be found on the PyPI repository here.

Build Instructions

Install Jupyter and enable ipywidgets

After cloning this repo, you can build the widget from source and use in a jupyter lab/notebook instance. Before this widget will work properly, you will need to install and enable jupyter widgets. To enable the widgets for Jupyter Lab using pip follow the below commands

pip install jupyterlab #installs jupyter lab and gives access to jupyter lab CLI
pip install ipywidgets
jupyter nbextension enable --py widgetsnbextension
jupyter labextension install @jupyter-widgets/jupyterlab-manager

* Feel free to run this in your default python environment or a separate kernel; If using a separate kernel make sure it has been added to the available kernels via the ipykernels package

Installing requirements for this widget

Once Jupyter has been installed and enabled, check that all requirements have been downloaded by running pip install -r requirements.txt from this directory. Then, open up a jupyter lab instance by running jupyter lab, and once inside try the below example using the images in the sample_image directory:

from interactivecrop.interactivecrop import main as crop
from interactivecrop.samples import sample_images, sample_names

crop(sample_images,image_name_list = sample_names)

For further examples of cropper use, see the Examples.ipynb. Make sure to run the jupyter lab startup command from the root directory when running Examples.ipynb.

interface

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

interactivecrop-0.0.4.tar.gz (6.8 kB view hashes)

Uploaded Source

Built Distribution

interactivecrop-0.0.4-py3-none-any.whl (26.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page