cutting op• Data kinds: table × scalar × scalar × scalar → rgb
• Call: import fullseye as fs; fs.ledger.cutting_face_render(scene, heel_x: 'float', heel_z: 'float', theta_deg: 'float', gain: 'float' = 1.0, gradient: 'float' = 0.0, blur_px: 'float' = 0.0, noise: 'float' = 0.0, seed: 'int' = 0, food_visible: 'bool' = True) (to call the implementation directly, import cutting; cutting.cutting_face_render(scene, heel_x: 'float', heel_z: 'float', theta_deg: 'float', gain: 'float' = 1.0, gradient: 'float' = 0.0, blur_px: 'float' = 0.0, noise: 'float' = 0.0, seed: 'int' = 0, food_visible: 'bool' = True); from the registry, opsdrive.get("cutting_face_render"))
> This operator's description has not been translated yet. The original text follows as it is.
正面像(RGB、(H, W, 3) float)。壁 → まな板 → 刃 → 食材(手前)の順に、被覆率の解析描画で重ねる。
`heel_x / heel_z は刃の根元の刃先(mm)、theta_deg は刃先の傾き。カメラは gain(明るさの倍率)、gradient`
(左右の照明勾配、全幅で ±gradient/2)、`blur_px(ガウスぼけの σ)、noise`(加法の正規雑音の σ)。
刃の面積は副列 8 本で縦方向を厳密に積分する(多角形の面積と 2e-4 以内、PoC の門)。
• 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
rgb as input)spin_from_marker_sequence · carla_depth_decode · carla_transform_matrix · carla_pose_to_world · carla_camera_pose · carla_xy_yaw · carla_scene_load · town_chain
cutting)cutting_scene · 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.