Factual package intelligence from PyPI

volume-segmantics 0.4.0 package intelligence

A toolkit for semantic segmentation of volumetric data using PyTorch deep learning models

pip install volume-segmantics

Current version
0.4.0
Python requirement
<3.13,>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
495.5 KiB
Release history
12 releases with files
Median release cadence
9 days

volume-segmantics dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. albumentations <2.0.0,>=1.1.0
  2. h5py <4.0.0,>=3.0.0
  3. imagecodecs >2022.2.22
  4. imageio
  5. matplotlib <4.0.0,>=3.3.0
  6. monai >=1.3.0
  7. mrcfile >=1.5
  8. numpy <2.0.0,>=1.18.0
  9. pytorch-lightning >=2.3
  10. scikit-image

The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

volume-segmantics publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for volume-segmantics 0.4.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .