/pixano

Data-centric AI building blocks for computer vision applications

Primary LanguageJupyter NotebookOtherNOASSERTION

Pixano

Data-centric AI building blocks for computer vision applications

Under active development, subject to API change

GitHub version PyPI version Documentation License Python version

Installing Pixano

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

For example, with conda:

conda create -n pixano_env python=3.10
conda activate pixano_env

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

pip install pixano

Fixes required

  • change accordingly the ASSETS_PATH AND TEMPLATE_PATH variables located within the
    • pixano/apps/annotator/serve.py
    • pixano/apps/explorer/serve.py

Installing Active Learning

  • you may follow instructions to install and run the customAL-demo

Using your datasets

Please refer to our Jupyter notebooks for importing and exporting your datasets.

Using the Pixano apps

Please refer to these links for using the Pixano Explorer and the Pixano Annotator apps.

Contributing

Please refer to the CONTRIBUTING.md for information on running Pixano locally and guidelines on how to publish your contributions.

License

Pixano is licensed under the CeCILL-C license.