Factual package intelligence from PyPI
Easily apply foundational CV models (SAM, etc.) to detect and generate river masks from imagery.
pip install rivercv
PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=4.8>=10.0>=2.0>=0.15The compact report shows 12 of 33 declarations. The interactive dependency graph loads the complete metadata.
rivercv publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 .