Factual package intelligence from PyPI

fastsegmentator 0.1.1 package intelligence

Fast end-to-end GPU inference for nnU-Net and TotalSegmentator, parity-validated to official TotalSegmentator at >=0.999 DSC and 2-9x faster.

pip install fastsegmentator

Current version
0.1.1
Python requirement
>=3.9
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
262.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

fastsegmentator dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. acvl-utils <0.3,>=0.2
  2. batchgenerators >=0.25
  3. batchgeneratorsv2 >=0.2
  4. cucim-cu12
  5. cupy-cuda12x
  6. dicom2nifti
  7. dynamic-network-architectures <0.4,>=0.3.1
  8. einops
  9. imagecodecs
  10. joblib
  11. nibabel
  12. numpy >=1.24
  13. pandas
  14. requests
  15. scikit-image >=0.19.3
  16. scikit-learn
  17. scipy
  18. simpleitk >=2.2.1
  19. tifffile
  20. torch ==2.5.1
  21. torchvision ==0.20.1
  22. tqdm

Compatibility and release files

fastsegmentator publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .