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uba-ki-lab/density-maps

opencode:9998

A minimal library for Gaussian density map workflows with PyTorch and albumentations. Keywords: uba, umweltbundesamt, ki-lab, computer vision, object counting

Entity type · RepositoryPublic dossier · indexable21 Jul 2026, 10:59

Identity extends only as far as the published stable identifier or explicit mapping. Similar names are not merged. Missing links mean not observed in the bounded sources—not absent in reality.

identity ≠ name similarity · edge ≠ causality
1direct evidenced connections
1exact-identifier edges
2referenced source snapshots
5published attributes
ONE-HOP EVIDENCE

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Exact identifieredge:5be66aa8af480057dbd631d3
Relationshipdeclares_dependency
Software packagePyTorch
repository_commit_manifest_package_identity

No additional excerpt published.

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german-public-sector-ai-dependency-atlas · opencode:9998@1da30304236d86dfb376a429b1ea6e9fddba3a0a:pypi:torch
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PUBLISHED ATTRIBUTES

Fields retained with this identity

Attributes are descriptive source fields. They do not create cross-dataset identity unless an edge states that join explicitly.

Ai Package Count
1
Commit Sha
1da30304236d86dfb376a429b1ea6e9fddba3a0a
Last Activity At
2026-03-20T12:17:58.583Z
Path With Namespace
uba-ki-lab/density-maps
Tree Complete
true
PROVENANCE

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02
german-public-sector-ai-dependency-atlasopencode:9998@1da30304236d86dfb376a429b1ea6e9fddba3a0a:pypi:torch · repository_commit_manifest_package_identity
Open original source

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