sphere_normals_known — DRIVE `tacscalib` op

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

• Call: import fullseye as fs; fs.ledger.sphere_normals_known(shape, centre, a_px: 'float', R_px: 'float', inner: 'float' = 1.0) -> 'dict' (to call the implementation directly, import tacscalib; tacscalib.sphere_normals_known(shape, centre, a_px: 'float', R_px: 'float', inner: 'float' = 1.0) -> 'dict'; from the registry, opsdrive.get("sphere_normals_known"))

Usage

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

既知球の押し込み: 接触円(中心 `centre = (行, 列)、半径 a_px`)の内側で法線を閉形式で返す。

n = (−dx, −dy, √(R² − r²))/R(dx = 列 − 中心の列、dy = 行 − 中心の行)。マスクは r < inner · min(a, R)(較正手順と同じく

a と R の小さい方まで)。外側は (0, 0, 1)。返り: `normals (H, W, 3)、mask (H, W) bool、r` (H, W) [px]、

`theta`(傾き角 = atan2(r, √(R² − r²))、マスク外 0)。

Raises `ValueError`: shape・centre の形、a・R ≤ 0、inner が 0 < inner ≤ 1 の外。

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_tacscalib_sphere_lut — py -3.11 examples/poc_tacscalib_sphere_lut.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 (`tacscalib`)

calib_pack_load · lights_fit_from_sphere · membrane_predict_rgb · gradient_lut_build · gradient_lut_invert · normal_error_map · sphere_cap_height · field_position_sweep

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

sphere_normals_known — DRIVE tacscalib op