<div align="center">
<img src="https://raw.githubusercontent.com/pixano/pixano-inference/main/docs/assets/pixano_wide.png" alt="Pixano" height="100"/>
<br/>
**Inference models for Pixano**
**_Under active development, subject to API change_**
[](https://github.com/pixano/pixano-inference/releases)
[](https://pypi.org/project/pixano-inference/)
[](https://pixano.github.io)
[](https://www.python.org/downloads/)
[](LICENSE)
</div>
<hr />
<a href="https://github.com/pixano/pixano" target="_blank">**Pixano**</a> 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 <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 Pixano Inference inside that environment with pip:
```shell
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 <a href="https://github.com/pixano/pixano/tree/main/notebooks/models" target="_blank">these notebooks</a> for information on how to use the models provided by Pixano Inference.
# Contributing
Please refer to the [CONTRIBUTING.md](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](LICENSE).
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