gs_read_file — DRIVE `gsplat` op

• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.gs_read_file(path, *, min_opacity: 'float' = 0.0) -> 'dict' (to call the implementation directly, import gsplatnp; gsplatnp.gs_read_file(path, *, min_opacity: 'float' = 0.0) -> 'dict'; from the registry, opsdrive.get("gs_read_file"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

3D Gaussian Splatting のファイルを読み、ガウスの中心・色・不透明度・大きさ・向きを返す。

対応: INRIA 形式の .ply(x, y, z, f_dc_0..2, opacity(logit), scale_0..2(log), rot_0..3(wxyz)。

`gsplat_train_native` の出力もこれ)と .splat(1 個 32 バイト: 位置 3×f32、大きさ 3×f32、

RGBA 4×u8、回転 4×u8(wxyz、(q·128)+128))。

Args:

path: ファイル。

min_opacity: これ未満の不透明度のガウスを落とす(0 なら全部)。

Returns:

``{"xyz" (N,3), "rgb" (N,3) [0,1], "opacity" (N,) [0,1], "scale" (N,3)(実寸、exp 済み),

"rot" (N,4) wxyz 単位四元数, "n_total", "format"}``。色は 0 次の球面調和だけ(視点で変わる高次は捨てる)。

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)

• (none yet)

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_update · gs_render · gs_render_fn

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

gs_read_file — DRIVE gsplat op