Metadata-Version: 2.1
Name: ibb
Version: 2.3.0
Summary: Jupyter Widget Library for Brambox
Home-page: https://github.com/0phoff/ibb
Author: 0phoff
Author-email: 
License: BSD
Keywords: Jupyter,Widgets,IPython
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Framework :: Jupyter
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: ipywidgets (>=7.0.0)
Requires-Dist: pillow
Requires-Dist: traittypes
Requires-Dist: brambox (>2.0.0)
Provides-Extra: docs
Requires-Dist: jupyter-sphinx ; extra == 'docs'
Requires-Dist: nbsphinx ; extra == 'docs'
Requires-Dist: nbsphinx-link ; extra == 'docs'
Requires-Dist: pytest-check-links ; extra == 'docs'
Requires-Dist: pypandoc ; extra == 'docs'
Requires-Dist: recommonmark ; extra == 'docs'
Requires-Dist: sphinx (>=1.5) ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Provides-Extra: examples
Requires-Dist: brambox[segment] ; extra == 'examples'
Requires-Dist: tables ; extra == 'examples'
Requires-Dist: torch ; extra == 'examples'
Requires-Dist: torchvision ; extra == 'examples'

<div align="center">

<img alt="Logo" src="https://raw.githubusercontent.com/0phoff/ibb/master/docs/source/_static/logo.svg" width="60%"/>

[![PyPi][pypi-badge]][pypi-url]
[![NPM][npm-badge]][npm-url]
[![Documentation][docs-badge]][docs-url]

</div>

Interactive BramBox
===================
IPython widgets for visualizing [brambox](http://eavise.gitlab.io/brambox/) annotation and detection dataframes on their images.
These widgets help with doing computer vision research in IPython Notebooks.


## Installation

```bash
> pip install ibb
```


## Widget List
Check out the [documentation][docs-url] for more information!

- **ImageViewer**: Image list browser.
- **BramboxViewer**: Brambox dataset browser. Browse through your annotations or detections for visual inspection.
- **PatchViewer**: Brambox dataset browser, but cut images in smaller patches (with overlap) for easier visualisation.
- **CutoutViewer**: Brambox dataset browser, but view individual annotations or detections as cutouts of the image.


[pypi-badge]: https://img.shields.io/pypi/v/ibb?logo=pypi
[pypi-url]: https://pypi.org/project/ibb
[npm-badge]: https://img.shields.io/npm/v/ibb?logo=npm
[npm-url]: https://npmjs.com/package/ibb
[docs-badge]: https://img.shields.io/readthedocs/ibb?logo=readthedocs
[docs-url]: https://ibb.readthedocs.io
