world 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.load_asset(name: 'str', dims=None, *, root=None, paint=None) -> 'dict' (to call the implementation directly, import driveworld; driveworld.load_asset(name: 'str', dims=None, *, root=None, paint=None) -> 'dict'; from the registry, opsdrive.get("load_asset"))
Loads a bundled asset as a mesh dict: {"V", "F", "color", "label", "name", "dims"}.
> The detailed description below is the original text — the summary and the headings are translated.
z-up に直し、箱の寸法を dims(既定 = ASSETS の実寸)に軸ごとに合わせ、原点を箱の底面中心に置く。未知の名前・寸法 ≤ 0 は ValueError。同じ名前は 1 度だけ読む(キャッシュ)。
paint: 車の車体色(CAR_PAINTS の名前か (r, g, b)、None = 元の色)。車体の面だけを塗り替え、ガラス・タイヤ・灯火は元のまま、テクスチャの濃淡(明るさの比)は保つ。パトカー・タクシー(塗装が意味を持つ)と車以外は ValueError。
• 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.
• poc_driving_longitudinal — py -3.11 examples/poc_driving_longitudinal.py
• poc_driving_pass — py -3.11 examples/poc_driving_pass.py
• poc_driving_school — py -3.11 examples/poc_driving_school.py
• poc_driving_weather — py -3.11 examples/poc_driving_weather.py
• poc_ttc_rss — py -3.11 examples/poc_ttc_rss.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
world)world_build · world_camera · world_move
*Provenance: driveworld.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.