watervision opimage2d × image2d → tableimport fullseye as fs; fs.ledger.wet_dry_inspection_pair(texture, defect_mask, roughness, water_film_um, light_deg, view_deg, n_water=None, seed=268, normal_sigma_px=2.0) -> 'dict' (実装を直接呼ぶなら import watervision; watervision.wet_dry_inspection_pair(texture, defect_mask, roughness, water_film_um, light_deg, view_deg, n_water=None, seed=268, normal_sigma_px=2.0) -> 'dict'、台帳から引くなら opsoptics.get("wet_dry_inspection_pair"))The same textured plate rendered dry and wet, and the contrast of its defect in each -> dict.
texture (H, W) in [0, 1] is the diffuse albedo of the plate and defect_mask (H, W, bool) marks the defect (at least
one pixel inside and one outside). Both images use the per-pixel :func:wet_surface_appearance for the diffuse part. The
specular part uses a local normal: a Gaussian-smoothed random height map (seed, smoothing normal_sigma_px) whose
slopes are scaled to an RMS slope per axis of roughness; each pixel mirrors the light with the Fresnel reflectance of its
local incidence angle into the Gaussian lobe of wet_surface_appearance about the viewing direction, so a glint appears
where the local normal bisects the light and the view and moves when light_deg changes. The dry and the wet plate share the normals,
so they differ only by the film. light_deg is in the xz plane from the plate normal, the viewer on the other side at view_deg.
The defect contrast is the Michelson contrast (mean_ok - mean_defect) / (mean_ok + mean_defect) of the region means, reported
for the whole image and for the diffuse part alone. Because the film darkens dark pixels proportionally more (the factor
(1 - r) / (1 - a r) grows with a), a dark defect on a brighter plate gains diffuse contrast when wet; the glints (shared
by both regions) pull the total contrast the other way, so the table has both and predicted_diffuse_contrast_wet (the
one-step prediction from the region mean albedos).
The table has dry, wet, diffuse_dry, diffuse_wet, specular_dry, specular_wet (images), contrast_dry,
contrast_wet, contrast_diffuse_dry, contrast_diffuse_wet, predicted_diffuse_contrast_wet, coverage,
glint_pixels_dry / glint_pixels_wet (pixels whose specular term exceeds the median diffuse albedo) and normals. A film of 0 gives
identical images. Shapes that differ, a mask without both classes, textures outside [0, 1] or a negative film are refused.
optics の全 op は入力を検証してから計算する(黙って通さない):
_mm / _um / _deg / _mrad。mm と µm の取り違えは crash ではなく「もっともらしく間違った答え」なので、名前で防ぐ。大きさから単位を推測する処理は一切しない。ValueError — float('50') は成功してしまうため、未パースの設定値が長さとして通り抜ける(実測: thin_lens('50', '200') がもっともらしい 66.667 mm を返していた)。bool も True == 1 の暗黙昇格として拒否。ValueError(実数枠のみ。虚部の無言切り捨て・マスク剥がしを拒否)。NaN/Inf は全入力で ValueError。depth_of_field の過焦点距離以遠の far_mm = inf(それが過焦点距離の定義)と gaussian_beam のウエストでの wavefront_radius_mm = inf(平面波面の曲率半径)。どちらも有限の相棒(far_is_infinite / curvature_per_mm)を併せて返す。それ以外の無言 NaN/Inf は内部で検出して ValueError —「float64 が溢れた」と「答えが無限大」は別の主張なので、後者の顔で前者を返さない。optics.MAX_GRID(4096)、供給された場/PSF/開口は optics.MAX_FIELD_ELEMENTS(2^24)、ABCD 素子列は optics.MAX_SYSTEM_ELEMENTS(1024)、Zernike は MAX_ZERNIKE_TERMS(512)/ MAX_ZERNIKE_ORDER(40)/ MAX_ZERNIKE_BASIS(2^25)。小さな引数から巨大な内部確保が起きる経路(実測: n_max=40 × 4096² で 108 GB)を fail-closed で塞ぐ。| 物理的に不可能な状態も拒否: 偏光度 > 1 の Stokes ベクトル、負の透過率、負の強度、n- | m | が奇数などの不正な Zernike 添字。 |
py -3.11 examples/poc_water_inspection_images.pytable を入力に取れる)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
watervision)caustic_irradiance · bottle_image · fill_level_from_image · wet_surface_appearance · underwater_inspection_image · caustic_floor_segmentation
Provenance: watervision.py — OPTICS operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.