DBSCAN siddharth277 · PARTIAL
A complete Python pipeline that loads a real indoor 3D point cloud from the Stanford S3DIS dataset, segments it into semantic regions (floor, ceiling, wall, furniture, beam, window), and exports colorized visualizations and a .ply file you can open in MeshLab or CloudCompare.
github.com/siddharth277/DBSCAN · ★ 2 · Forks 0 · Size 9.9 MB
SUMMARY
Technologies 4
Scored 2
Observed 2
Practices 6
Evidence 5
Skips 2
COVERAGE
Analyzed 13 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-04-30
Last commit 2026-05-08
Active months 2
Commits 6