Factual package intelligence from PyPI

FuzzyPySeg 1.0.1 package intelligence

FuzzyPySeg is a package for segmenting images using Fuzzy C Means clustering with either a Euclidean or Mahalanobis distance. You may also specify a centroid initialization using the firefly algorithm, genetic algorithm, or the Biogeography-based optimization algorithm.

pip install fuzzypyseg

Current version
1.0.1
Python requirement
Not declared
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
8.2 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

FuzzyPySeg dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

FuzzyPySeg publishes 0 wheels and 1 source archive for version 1.0.1. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.4, 3.5, 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

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 .