Factual package intelligence from PyPI

torch-segment-fiducials-2d 0.5.2 package intelligence

A small pre-trained residual U-Net for gold fiducial segmentation in cryo-EM images

pip install torch-segment-fiducials-2d

Current version
0.5.2
Python requirement
>=3.11
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
31.1 KiB
Release history
5 releases with files
Median release cadence
40 days

torch-segment-fiducials-2d dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. einops
  2. imageio
  3. lightning
  4. mrcfile
  5. notebook >=7.4.3
  6. numpy
  7. pooch
  8. scipy
  9. tiler
  10. torch
  11. torch-fourier-rescale >=0.1.1
  12. torchvision
  13. typer
  14. zenodo-get

Compatibility and release files

torch-segment-fiducials-2d publishes 1 wheel and 1 source archive for version 0.5.2. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .