Factual package intelligence from PyPI

pytorch-segmentation-models-trainer 1.3.0 package intelligence

Image segmentation models training of popular architectures.

pip install pytorch-segmentation-models-trainer

Current version
1.3.0
Python requirement
>=3.12
License
GPL
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
74.2 MiB
Release history
41 releases with files
Median release cadence
7 days

pytorch-segmentation-models-trainer dependencies

PyPI declares 69 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. albumentations >=1.4.0
  2. bidict ==0.21.2
  3. click >=8.0.0
  4. colorama ==0.4.5
  5. cython >=3.0.0
  6. descartes ==1.1.0
  7. fastapi >=0.100.0
  8. geoalchemy2 >=0.13.0
  9. geopandas >=1.1.0
  10. httpx >=0.23.0
  11. hydra-core >=1.3.0
  12. kornia
  13. matplotlib
  14. multiprocess ==0.70.19
  15. ninja >=1.11.0
  16. numba
  17. numpy
  18. opencv-python-headless

The compact report shows 18 of 69 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pytorch-segmentation-models-trainer publishes 1 wheel and 1 source archive for version 1.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.12.

Security snapshot for pytorch-segmentation-models-trainer 1.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 41 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 .

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