osm_road_mask — DRIVE `japan` op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.osm_road_mask(graph: 'dict', *, step: 'float' = 0.5, margin: 'float' = 6.0, bbox=None) -> 'Dict[str, object]' (to call the implementation directly, import drivejapan; drivejapan.osm_road_mask(graph: 'dict', *, step: 'float' = 0.5, margin: 'float' = 6.0, bbox=None) -> 'Dict[str, object]'; from the registry, opsdrive.get("osm_road_mask"))

Usage

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

辺を幅つきの線分(端は丸)として描いた 道路の和集合 の 2 値画像。

画素 (r, c) の中心 = (xmin + (c + ½) step, ymin + (r + ½) step)、行は y の増える向き(数学座標。表示で上下を返す)。

返り値 `{"mask": (H, W) bool, "xmin", "ymin", "step", "shape", "area_m2": 画素数 × step²}`。

Raises `ValueError`: step ≤ 0、画像が 4e7 画素を超える(step を粗く)。

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_driving_japan_town — py -3.11 examples/poc_driving_japan_town.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 (`japan`)

osm_synthetic · osm_parse · osm_road_graph · osm_road_loops · osm_route · japan_world · japan_stats · latlon_to_local

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

osm_road_mask — DRIVE japan op