PyPI recent updates for nagini3D https://pypi.org/project/nagini3d/ Recent updates to the Python Package Index for nagini3D en 0.2.3 https://pypi.org/project/nagini3d/0.2.3/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Thu, 26 Mar 2026 15:17:38 GMT 0.2.2 https://pypi.org/project/nagini3d/0.2.2/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Sat, 06 Dec 2025 11:10:36 GMT 0.2.1 https://pypi.org/project/nagini3d/0.2.1/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Fri, 05 Dec 2025 14:25:44 GMT 0.2.0 https://pypi.org/project/nagini3d/0.2.0/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Fri, 05 Dec 2025 11:15:25 GMT 0.1.2 https://pypi.org/project/nagini3d/0.1.2/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Thu, 28 Aug 2025 09:28:41 GMT 0.1.1 https://pypi.org/project/nagini3d/0.1.1/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Tue, 10 Jun 2025 12:49:57 GMT 0.0.2 https://pypi.org/project/nagini3d/0.0.2/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Thu, 06 Mar 2025 11:30:44 GMT 0.0.1 https://pypi.org/project/nagini3d/0.0.1/ Implementation of NAGINI-3D, a python package designed for Multi-Object Segmentation in Biological Imaging based on deep learning and active surfaces. quentin.RAPILLY@inria.fr Tue, 04 Mar 2025 14:52:08 GMT