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 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-0.5.1.tar.gz (555.0 kB view details)

Uploaded Source

Built Distribution

pixano-0.5.1-py3-none-any.whl (608.3 kB view details)

Uploaded Python 3

File details

Details for the file pixano-0.5.1.tar.gz.

File metadata

  • Download URL: pixano-0.5.1.tar.gz
  • Upload date:
  • Size: 555.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pixano-0.5.1.tar.gz
Algorithm Hash digest
SHA256 655b3b3fc3cdd6236f64598e884f7e2e3f5188d5505eaa21c8767e045e582063
MD5 e317ed22ecfdd7acd09f95d4fe095991
BLAKE2b-256 f2ba32cac40ac6d8266cc932dbcf37a2d2c9ef9f179460ca7cf874cefbe18c91

See more details on using hashes here.

File details

Details for the file pixano-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: pixano-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 608.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pixano-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a4327df0c61909350691f9a60ec12c968a60f4de471a58377f7c50d3d8e42965
MD5 03b8ffe5675dca7c6b50667368e7697a
BLAKE2b-256 25faf0765e4a4c9f6d569dcd34b2c0e6b4a132b126ca12d2946e2c215867a2b5

See more details on using hashes here.

Supported by

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