cutting op• Data kinds: any → table
• Call: import fullseye as fs; fs.ledger.cutting_scene(kind: 'str' = 'face', px_per_mm: 'float | None' = None, **overrides) -> 'dict' (to call the implementation directly, import cutting; cutting.cutting_scene(kind: 'str' = 'face', px_per_mm: 'float | None' = None, **overrides) -> 'dict'; from the registry, opsdrive.get("cutting_scene"))
> This operator's description has not been translated yet. The original text follows as it is.
合成の場面の諸元(dict)。`kind="face" = 正面像(カメラは刃の面の法線方向)、"edge"` = 刃先方向の像。
正面像: 刃は食材より長く、食材の左右で刃先の直線が見える。食材の幅の中は食材に隠れる。キーは `food_xc / food_w` /
`food_h(食材の中心・幅・高さ)、blade_len / blade_h / tip_slant`(刃先の長さ・刃の高さ・先端の斜め部)。
刃先方向の像: 刃は細い帯に見え、片刃の平らな面と食材の端面の距離が切片の厚み。キーは `food_top、blade_tb`(峰の厚み)、
`blade_hb(片刃の切刃の高さ)、blade_h`。
`px_per_mm を変えると画素の寸法 H / W / board_row`(z = 0 の行)が比例して変わる(mm の寸法は同じ)。
既定は正面像 8 px/mm(800×480)、刃先方向 20 px/mm(520×560)。知らないキーは ValueError(綴り壊しを黙って通さない)。
• 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_food_cutting_measure — py -3.11 examples/poc_food_cutting_measure.py
• poc_knife_tactile_toughness — py -3.11 examples/poc_knife_tactile_toughness.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
cutting)cutting_face_render · cutting_edge_render · cutting_episode_synth · cutting_wrist_mjcf · knife_edge_track · cut_depth_from_side · slice_thickness_profile · cut_surface_roughness
*Provenance: cutting.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.