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Geospatial Vision-Language Model analysis for street-level imagery. Download Mapillary images by location and generate structured descriptions using VLMs.
pip install geoai-vlm
PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.12.0>=1.0.0>=2.5.0>=1.7.0>=1.1.2>=2.9.0>=4.9.0>=3.8.0<2.dev0>=4.8.0>=2.3.3>=10.0.0The compact report shows 12 of 29 declarations. The interactive dependency graph loads the complete metadata.
geoai-vlm publishes 1 wheel and 1 source archive for version 0.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
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.
PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .