Skip to main content

Data-centric AI building blocks for computer vision applications

Project description

Pixano

Data-centric AI building blocks for computer vision applications

Under active development, subject to API change

GitHub version PyPI version Tests Coverage Documentation Python version License


Pixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features:

  • Fast dataset navigation using the the modern storage format Lance
  • Multi-view datasets support for images, and soon for 3D point clouds and videos
  • Import and export support for dataset formats like COCO
  • Semantic search using models like CLIP
  • Smart segmentation using models like SAM

Getting started

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

Using your datasets

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

Using the Pixano app

Please refer to this link for using the Pixano app.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pixano-0.6.2.tar.gz (788.8 kB view details)

Uploaded Source

Built Distribution

pixano-0.6.2-py3-none-any.whl (855.0 kB view details)

Uploaded Python 3

File details

Details for the file pixano-0.6.2.tar.gz.

File metadata

  • Download URL: pixano-0.6.2.tar.gz
  • Upload date:
  • Size: 788.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pixano-0.6.2.tar.gz
Algorithm Hash digest
SHA256 b54a2d3fd4695c6d463371a9a935c15b9bb479198aa127f81e1e7fd9cad4a3ab
MD5 462ac7653c1bd7a410704488da5292a3
BLAKE2b-256 6330fd49aeb7ffcf3b7cf8417fcf5d4ca3f7e2d214f77d1ea1f8b4d358be9d8c

See more details on using hashes here.

Provenance

The following attestation bundles were made for pixano-0.6.2.tar.gz:

Publisher: publish.yml on pixano/pixano

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pixano-0.6.2-py3-none-any.whl.

File metadata

  • Download URL: pixano-0.6.2-py3-none-any.whl
  • Upload date:
  • Size: 855.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pixano-0.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 68f6d5d6a971a61f76a1ca39356f0e423e6c76e0a3505d79a343e6cf3c3fb3f0
MD5 89e53d8ddc88dfb50b0b1f0d8c7ccfa1
BLAKE2b-256 6ab50e951e5cd30f19bcf9c8009efca991403f7758c0be0ac5b4282799f8690f

See more details on using hashes here.

Provenance

The following attestation bundles were made for pixano-0.6.2-py3-none-any.whl:

Publisher: publish.yml on pixano/pixano

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page