![Pixano](https://raw.githubusercontent.com/pixano/pixano/main/docs/assets/pixano_wide.png)
Data-centric AI building blocks for computer vision applications
Under active development, subject to API change
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.