Factual package intelligence from PyPI

keras-swin-unet 0.2.7 package intelligence

Revolutionize geospatial analysis with Swin-UNet — satellite imagery segmentation using Swin Transformers and UNet. Achieve SOTA precision in road extraction. For GIS professionals, urban planners, and AI researchers. Train, test, and infer in three lines of code.

pip install keras-swin-unet

Current version
0.2.7
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
47.0 KiB
Release history
10 releases with files
Median release cadence
0 days

keras-swin-unet dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <4.0.0,>=3.10.1
  2. numpy >=1.26.4
  3. pillow <12.0.0,>=11.2.1
  4. scikit-learn <2.0.0,>=1.6.1
  5. scipy <2.0.0,>=1.15.2
  6. tensorflow <3.0.0,>=2.19.0
  7. tqdm <5.0.0,>=4.67.1

Compatibility and release files

keras-swin-unet publishes 1 wheel and 1 source archive for version 0.2.7. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

7 historical releases are fully yanked in PyPI metadata.