Factual package intelligence from PyPI

cellseg_models_pytorch 0.1.30 package intelligence

Python library for 2D cell/nuclei instance segmentation models written with PyTorch.

pip install cellseg-models-pytorch

Current version
0.1.30
Python requirement
<4.0,>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.5 MiB
Release history
30 releases with files
Median release cadence
13 days

cellseg_models_pytorch dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0,>=1.24
  2. timm <2.0.0,>=1.0.7
  3. numba <0.61.0,>=0.60.0
  4. torch <3.0.0,>=2.0.0
  5. scipy <2.0,>=1.14
  6. scikit-image <0.26,>=0.25
  7. opencv-python <5.0,>=4.8
  8. tqdm <5.0.0,>=4.64.0
  9. scikit-learn <2.0.0,>=1.3.0
  10. requests <3.0.0,>=2.28.0
  11. geopandas <2.0.0,>=1.0.1
  12. pyarrow <17.0.0,>=16.1.0
  13. rasterio <2.0.0,>=1.4.3
  14. libpysal <5.0.0,>=4.12.1
  15. mpire <3.0.0,>=2.10.2

Compatibility and release files

cellseg_models_pytorch publishes 1 wheel and 1 source archive for version 0.1.30. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Release activity and sources

PyPI lists 30 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 .