Factual package intelligence from PyPI

dicom-native 0.3.0 package intelligence

Train deep learning models directly from DICOM files — preserves full 12-16 bit intensity resolution. Includes research tools for studying bit-depth compression effects on neural network feature learn

pip install dicom-native

Current version
0.3.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
75.9 KiB
Release history
2 releases with files
Median release cadence
0 days

dicom-native dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pydicom >=2.4
  2. numpy >=1.24
  3. opencv-python-headless >=4.8

The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dicom-native publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.