Metadata-Version: 2.1
Name: pixano
Version: 0.3.2
Summary: Data-centric AI building blocks for computer vision applications
Project-URL: Documentation, https://github.com/pixano/pixano#readme
Project-URL: Issues, https://github.com/pixano/pixano/issues
Project-URL: Source, https://github.com/pixano/pixano
Author-email: Pixano Developers <pixano@cea.fr>
License-Expression: CECILL-C
License-File: LICENSE
Keywords: computer vision,data annotation,data visualization,deep learning,machine learning
Classifier: Development Status :: 4 - Beta
Classifier: License :: CeCILL-C Free Software License Agreement (CECILL-C)
Classifier: Programming Language :: Python :: 3.10
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Description-Content-Type: text/markdown

<div align="center">

<img src="https://raw.githubusercontent.com/pixano/pixano/main/docs/assets/pixano_wide.png" alt="Pixano" height="100"/>

<br/>
<br/>

**Data-centric AI building blocks for computer vision applications**

***Under active development, subject to API change***

[![GitHub version](https://img.shields.io/github/v/release/pixano/pixano?label=release&logo=github)](https://github.com/pixano/pixano/releases)
[![PyPI version](https://img.shields.io/pypi/v/pixano?color=blue&label=release&logo=pypi&logoColor=white)](https://pypi.org/project/pixano/)
[![Documentation](https://img.shields.io/website/https/pixano.github.io?up_message=online&up_color=green&down_message=offline&down_color=orange&label=docs)](https://pixano.github.io)
[![License](https://img.shields.io/badge/license-CeCILL--C-green.svg)](LICENSE)
[![Python version](https://img.shields.io/pypi/pyversions/pixano?color=important&logo=python&logoColor=white)](https://www.python.org/downloads/)

</div>


# Installing Pixano

As Pixano requires specific versions for its dependencies, we recommend creating a new Python virtual environment to install it.

For example, with <a href="https://conda.io/projects/conda/en/latest/user-guide/install/index.html" target="_blank">conda</a>:

```shell
conda create -n pixano_env python=3.10
conda activate pixano_env
```

Then, you can install the Pixano package inside that environment with pip:

```shell
pip install pixano
```

# Using your datasets

Please refer to our Jupyter notebooks for <a href="https://github.com/pixano/pixano/blob/main/notebooks/dataset/import_dataset.ipynb" target="_blank">importing</a> and <a href="https://github.com/pixano/pixano/blob/main/notebooks/dataset/export_dataset.ipynb" target="_blank">exporting</a> your datasets.

# Using the Pixano apps

Please refer to these links for using the <a href="https://github.com/pixano/pixano/tree/main/pixano/apps/explorer/README.md" target="_blank">Pixano Explorer</a> and the <a href="https://github.com/pixano/pixano/tree/main/pixano/apps/annotator/README.md" target="_blank">Pixano Annotator</a> apps.

# Contributing

If you find a bug or you think of some missing features that could be useful while using Pixano, please [open an issue](https://github.com/pixano/pixano/issues)!

To contribute more actively to the project, you are welcome to develop the fix or the feature you have in mind, and [create a pull request](https://github.com/pixano/pixano/pulls)!

And if you want to change the application to your liking, feel free to [fork this repository](https://github.com/pixano/pixano/fork)!


# License

Pixano is licensed under the [CeCILL-C license](LICENSE).
