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 Documentation License Python version

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 apps

Please refer to these links for using the Pixano Explorer and the Pixano Annotator apps.

Contributing

If you find a bug or you think of some missing features that could be useful while using Pixano, please open an issue!

To contribute more actively to the project, you are welcome to develop the fix or the feature you have in mind, and create a pull request!

And if you want to change the application to your liking, feel free to fork this repository!

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-0.4.0.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

pixano-0.4.0-py3-none-any.whl (1.2 MB view details)

Uploaded Python 3

File details

Details for the file pixano-0.4.0.tar.gz.

File metadata

  • Download URL: pixano-0.4.0.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for pixano-0.4.0.tar.gz
Algorithm Hash digest
SHA256 f29f82ec8115fa16998517ec44ed67ae1c70e549600900eea9f68691939ba73a
MD5 69d9567db5b912669c2cc775f9d6caad
BLAKE2b-256 bd7ffb25117242e74bec9b28de0331f522c816f8323956678187df3673e06158

See more details on using hashes here.

File details

Details for the file pixano-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: pixano-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for pixano-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7bc3f5eb286e88f3bc3189a32165a7a3146e4732493bba7e5dd9ff8fb0a9139d
MD5 8c8d23a81521256adbe82b486969d921
BLAKE2b-256 5f68a01771516711e81350bc7b95eb67c13bf8adcb6c49a294add6733282cb65

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