gs_update — DRIVE `gsplat` op

• Data kinds: table × table → table

• Call: import fullseye as fs; fs.ledger.gs_update(gs: 'dict', world: 'dict') -> 'dict' (to call the implementation directly, import gsplatnp; gsplatnp.gs_update(gs: 'dict', world: 'dict') -> 'dict'; from the registry, opsdrive.get("gs_update"))

Usage

Recomputes the Gaussian centers and orientations from the world's current vertices (in place; returns the same dict).

> The detailed description below is the original text — the summary and the headings are translated.

μ = Σ_k bary_k · V[F[face, k]] + R · offset_local、R = 面の局所座標 [t1 t2 n]。面の数が作ったときと違う世界は ValueError (物体を足した・消した世界には使えない: 作り直すこと)。剛体で動かした物体のガウシアンは同じ剛体変換で動く(門)。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_kendama — py -3.11 examples/poc_kendama.py

Ops the type connects to (they accept `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`gsplat`)

gs_from_world · gs_render · gs_render_fn · gs_read_file

*Provenance: gsplatnp.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

gs_update — DRIVE gsplat op