gradient_lut_build — DRIVE `tacscalib` op

• Data kinds: matrix × matrix → table

• Call: import fullseye as fs; fs.ledger.gradient_lut_build(rgb_rows, normal_rows, bins: 'int' = 125, positions=None, image_shape=None, flat_rgb=None, flat_positions=None, min_rows_poly: 'int' = 30, ridge: 'float' = 0.001, pool: 'bool' = True) -> 'dict' (to call the implementation directly, import tacscalib; tacscalib.gradient_lut_build(rgb_rows, normal_rows, bins: 'int' = 125, positions=None, image_shape=None, flat_rgb=None, flat_positions=None, min_rows_poly: 'int' = 30, ridge: 'float' = 0.001, pool: 'bool' = True) -> 'dict'; from the registry, opsdrive.get("gradient_lut_build"))

Usage

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

example-based の勾配 LUT: 法線の(傾き θ, 向き φ)を bins × bins に切り、各ビンに落ちた画素の RGB の平均を入れる

(`np.add.at で重複した添字も全部足す)。rgb_rows (P, 3)、normal_rows` (P, 3)。

`positions((P, 2) = (行, 列))と image_shape を与えると位置依存版: min_rows_poly` 行以上のビンに

RGB = 6 係数 · [x², y², xy, x, y, 1] を当てる(x, y は画像寸法で −1..1、定数項以外に小さなリッジ)。`pool=True` なら

行の少ないビンは角度で最も近い多項式ビンの位置の項(5 係数)を借り、定数項だけを自分の行の平均に合わせる —— 位置の項を

当てたビンだけで引くと傾きの小さいビンが全部落ちて 0〜15° が不感帯になる(試作で踏んだ罠)。

`flat_rgb((F, 3)、位置つきなら flat_positions` (F, 2) も)は「平らな例」= 法線 (0, 0, 1) として足す行(接触から

遠い輪など、弱い真値)。

返り: `bins、mean_rgb (bins, bins, 3)(空のビンは nan)、count (bins, bins)、centre_normals` (bins, bins, 3)、

`n_rows、n_flat、coef ((bins, bins, 6, 3) か None)、basis("unit")、image_shape、poly_bins`・

`pooled_bins`(位置の項を当てた / 借りたビンの数)。

Raises `ValueError`: 形の不一致 / bins < 4 / min_rows_poly < 6 / 行が 0 / 非有限 / positions と image_shape の片方だけ /

flat_positions だけ。

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 · sphere_normals_known · lights_fit_from_sphere · membrane_predict_rgb · 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).*

gradient_lut_build — DRIVE tacscalib op