Factual package intelligence from PyPI

med-yolo 1.0.0 package intelligence

Medical Image segmentation with YOLO

pip install med-yolo

Current version
1.0.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
48.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

med-yolo dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. streamlit >=1.24.0
  2. torch >=2.0.0
  3. torchvision >=0.15.0
  4. ultralytics >=8.0.0
  5. opencv-python >=4.7.0
  6. numpy >=1.24.0
  7. pandas >=2.0.0
  8. scikit-learn >=1.2.0
  9. tifffile >=2023.0.0
  10. pillow >=9.5.0
  11. matplotlib >=3.7.0
  12. seaborn >=0.12.0
  13. nibabel >=5.1.0
  14. SimpleITK >=2.2.0
  15. pydicom >=2.4.0
  16. monai >=1.2.0
  17. albumentations >=1.3.0
  18. PyYAML >=6.0.0

The compact report shows 18 of 19 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

med-yolo publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Release activity and sources

PyPI lists 1 release 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 .