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"))
Example-based gradient LUT: divides the normal's (tilt θ, azimuth φ) into bins × bins and stores in each bin the mean RGB of the pixels that fall into it (np.add.at also sums duplicate indices). rgb_rows (P, 3), normal_rows (P, 3).
> The detailed description below is the original text — the summary and the headings are translated.
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。
• 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_tacscalib_sphere_lut — py -3.11 examples/poc_tacscalib_sphere_lut.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.