cut_depth_from_side — DRIVE `cutting` op

• Data kinds: rgb × table × scalar × scalar → table

• Call: import fullseye as fs; fs.ledger.cut_depth_from_side(image, track, px_per_mm: 'float', board_row: 'float', win: 'int' = 5) -> 'dict' (to call the implementation directly, import cutting; cutting.cut_depth_from_side(image, track, px_per_mm: 'float', board_row: 'float', win: 'int' = 5) -> 'dict'; from the registry, opsdrive.get("cut_depth_from_side"))

Usage

Cutting depth (mm) from the top surface of the food item in the face-view image (saturation edge, subpixel per column → median) and the cutting-edge line.

> The detailed description below is the original text — the summary and the headings are translated.

深さ = 上面の z − 食材の幅の中央での刃先の z(knife_edge_track の直線の内挿)。刃が曲がっていればそのまま誤差になる。

返り値: depth_mm、top_z_mm、edge_z_mm、food_cols(左右)、n_cols、centre_col。

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_food_cutting_measure — py -3.11 examples/poc_food_cutting_measure.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 (`cutting`)

cutting_scene · cutting_face_render · cutting_edge_render · cutting_episode_synth · cutting_wrist_mjcf · knife_edge_track · 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).*

cut_depth_from_side — DRIVE cutting op