Readme
Data-centric AI building blocks for computer vision applications
Under active development, subject to API change
Pixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features:
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
Please refer to our Jupyter notebooks for importing and exporting your datasets.
Please refer to this link for using the Pixano app.
Please refer to the CONTRIBUTING.md for information on running Pixano locally and guidelines on how to publish your contributions.
Pixano is licensed under the CeCILL-C license.
FAQs
Data-centric AI building blocks for computer vision applications
We found that pixano demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
LDAPjs, an LDAP Client and Server API for Node.js, was decommissioned after its maintainer received an abusive email from a user, raising concerns about this form of abuse as a potential attack vector.
Security News
CISA launched a new project called Vulnrichment to enrich CVEs with details that help prioritize patching and mitigation efforts, as the NVD backlog of unenriched CVEs awaiting analysis surpasses 10,000.
Security News
Socket is joining forces with CISA and other industry leaders at the RSA Conference to sign the Secure by Design pledge, committing to uphold the highest security standards in our products.