field_position_sweep — DRIVE tacscalib op

• Data kinds: matrix × signal × any → table

• Call: import fullseye as fs; fs.ledger.field_position_sweep(centres, errors, image_shape) -> 'dict' (to call the implementation directly, import tacscalib; tacscalib.field_position_sweep(centres, errors, image_shape) -> 'dict'; from the registry, opsdrive.get("field_position_sweep"))

Usage

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

誤差の位置依存: 各画像の接触中心 (行, 列) と誤差(中央値など)を画像中心からの距離に対して並べ、最小二乗の傾き

[誤差 / 100 px] と Spearman の順位相関(同順位は平均順位)を返す(numpy だけ)。

返り: `dist_px・err・slope_per_100px・intercept・spearman・n`。

Raises `ValueError`: 3 組未満 / 形の不一致 / 非有限 / image_shape の形。

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_build · gradient_lut_invert · normal_error_map · sphere_cap_height

*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.