polarization op• Data kinds: polsweep → image2d
• Call: import fullseye as fs; fs.ledger.polarization_dolp_map(images, angles_deg=(0.0, 45.0, 90.0, 135.0), max_violation_frac=0.0) (implementation को सीधे call करना हो तो import specularity; specularity.polarization_dolp_map(images, angles_deg=(0.0, 45.0, 90.0, 135.0), max_violation_frac=0.0), registry से लेना हो तो opsspecular.get("polarization_dolp_map"))
हर pixel पर degree of linear polarisation। → (H, W), [0, 1] में।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
sqrt(S1^2 + S2^2) / S0, from the same sinusoid fit as polarization_separate. It answers the question that decides whether a polariser is worth mounting at all: 1 means the light at that pixel is fully linearly polarised and a crossed analyser extinguishes it completely, 0 means the polariser will only cost you a stop of exposure.
Being a ratio, it is invariant to exposure: scaling every frame by 1e-4, 1e4 or 1e8 moves it by at most 3.9e-16 (measured), which is what makes it comparable across a production line where the lamps age. Not *bit*- identical — the least-squares fit rounds differently at a different scale — and the difference between "invariant" and "bit-identical" is the kind of claim this library measures rather than asserts.
Pixels with zero total radiance have no degree of polarisation (every ratio would be 0/0) and are returned as 0.0 rather than as NaN; that is a convention, and it is stated here because a NaN spreading into a thresholding routine is exactly the silent failure this library refuses.
Raises ValueError: as polarization_separate.
• specular_photometric family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_polarization_specular — py -3.11 examples/poc_polarization_specular.py
• polarization_camera_pipeline — py -3.11 examples/polarization_camera_pipeline.py
• specular_photometric — py -3.11 examples/specular_photometric.py
image2d को input के रूप में लेते हैं)polarization)polarization_render · polarization_separate · polarization_stokes
*Provenance: specularity.py — SPECULAR operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.