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Inference models for Pixano, data-centric AI building blocks for computer vision applications

Project description

Pixano

Inference models for Pixano

Under active development, subject to API change

GitHub version Documentation License Python version


Pixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features like smart segmentation and semantic search.

Pixano Inference provides the AI models like SAM and CLIP that power those features, as well as a PyTorch and TensorFlow models for pre-annotating your datasets.

Getting started

Installing Pixano Inference

As Pixano and Pixano Inference require specific versions for their dependencies, we recommend creating a new Python virtual environment to install them.

For example, with conda:

conda create -n pixano_env python=3.10
conda activate pixano_env

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

pip install pixano-inference

As it is a requirement of Pixano Inference, Pixano will automatically be downloaded if it is not already installed.

Using the models

Please refer to these notebooks for information on how to use the models provided by Pixano Inference.

Contributing

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

License

Pixano Inference is licensed under the CeCILL-C license.

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