render_studio — OPTICS scene op

Data kinds: table × tablergbimage

Call: import optscene; optscene.render_studio(scene, camera, depth: 'int' = 3, samples: 'int' = 16, environment=None, supersample: 'int' = 1) -> 'np.ndarray' (or opsoptics.get("render_studio"))

Usage

Draw a picture to show: environment light, interreflection, refraction and dispersion (no photometric ground truth).

> The detailed description below is the original text — the summary and the headings are translated.

検査データが要るなら :func:render_optscene ―― 作り方が違う別の op

返り値は (H, W, 3) の線形 RGB。

検査用の :func:render_optscene と目的が違う。あちらは実在の照明器具を物理単位で

置いて直接光を数え、真値を返す(測光の根拠が要る)。こちらは環境全体から光が来る

前提で、金属は環境を映し、ガラスは環境を屈折させ、互いも映り込む(見た目が要る)。

`depth は反射・屈折の再帰段数、samples` は粗さローブの標本数(増やすほど

滑らか・遅い)。`environment` に自前の関数((...,3) 方向 -> (...,) 明るさ)を

渡せば別の環境にできる。表示するにはガンマを自分で掛ける。

Family-wide input contract (fail-closed)

Every optics op validates its input before computing (nothing slips through silently):

Units are baked into the argument name_mm / _um / _deg / _mrad. Confusing mm with µm does not crash; it yields a plausible-looking wrong answer, so the name prevents it. Nothing here guesses the unit from the magnitude.

• **Strings raise ValueError** — float('50') succeeds, so an unparsed configuration value would slip through as a length (measured: thin_lens('50', '200') returned a plausible 66.667 mm). bool is refused too, as the implicit promotion True == 1.

• **complex / masked arrays raise ValueError (real-valued slots only; silently dropping the imaginary part or peeling off the mask is refused). NaN/Inf raises ValueError on every input.**

Division by zero and its relatives are refused by name: focal length 0, radius of curvature 0, refractive index <= 0, a fully opaque aperture (all zeros, so the normalisation is 0/0), a PSF whose sum is <= 0, a Stokes vector with S0 = 0, and an object sitting at the front focal point (the image is at infinity).

Only two ops return a non-finite value, and both state it as a contract: depth_of_field returns far_mm = inf beyond the hyperfocal distance (that is what the hyperfocal distance means), and gaussian_beam returns wavefront_radius_mm = inf at the waist (the radius of curvature of a plane wavefront). Both also return a finite companion (far_is_infinite / curvature_per_mm). **Any other silent NaN/Inf is detected internally and raises ValueError** — "float64 overflowed" and "the answer is infinite" are different claims, so the first is never returned wearing the face of the second.

Size caps: generated grids are capped by optics.MAX_GRID (4096); supplied fields/PSFs/apertures by optics.MAX_FIELD_ELEMENTS (2^24); ABCD element chains by optics.MAX_SYSTEM_ELEMENTS (1024); Zernike by MAX_ZERNIKE_TERMS (512) / MAX_ZERNIKE_ORDER (40) / MAX_ZERNIKE_BASIS (2^25). This closes, fail-closed, the paths where a small argument triggers a huge internal allocation (measured: n_max=40 × 4096² needs 108 GB).

Physically impossible states are refused too: a Stokes vector with degree of polarisation > 1, negative transmittance, negative intensity, and invalid Zernike indices such as n-|m| odd.

Detailed usage guide

optics_imaging family guide

Background guides (the physics and conventions behind this op)

dataset_conventions — 学習データセット規約の知識 — COCO / YOLO / VOC と外観検査での落とし穴

mv_cameras — 産業用カメラメーカー(センサとの紐付け・ラインスキャン / TDI)

mv_illumination_practice — 照明の実務知識 — 波長・偏光・点灯方式・外光・安全

mv_image_sensors — 産業用イメージセンサ(現行品中心)

virtual_machine_vision — 仮想マシンビジョン — パラメータの洗い出しとオブジェクト模型

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)

studio_raytrace_scenepy -3.11 examples/studio_raytrace_scene.py

Ops the type connects to (they accept rgbimage as input)

clearcoat_shade · wetness · defocus_blur · diffraction_blur · sensor_capture

Same category (scene)

scene_material · scene_plane · scene_sphere · scene_box · scene_cylinder · surface_defect · surface_finish · random_defects


*Provenance: optscene.py — OPTICS 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.