simcal_observe — SIMCAL `model` op

• 資料種類:simmodel × images → simmodel

• 呼叫: import fullseye as fs; fs.ledger.simcal_observe(model=None, images=None, roi=None, align=False, exposure=None, max_shift=8, split='train') -> 'dict'(要直接呼叫實作,import simcal; simcal.simcal_observe(model=None, images=None, roi=None, align=False, exposure=None, max_shift=8, split='train') -> 'dict';從台帳取用則 opssimcal.get("simcal_observe"))

用法

將實測影像附加到 simmodel：對位、感興趣區域與曝光正規化。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

images — one 2-D array per condition (shape = what the model outputs). align=True registers each image to the simulation at the initial knobs by phase correlation (filters_freq.phase_correlation_fft, integer pixels), shifts it back and masks the wrapped border; a shift larger than max_shift is refused. roi = boolean mask or (row0, row1, col0, col1). exposure = a factor per image to divide by (the noise variance is divided by its square) — refused when the model has a free gain knob: the two scale the same signal. split labels the data train / holdout / locked (the TRAIN / OBSERVED / LOCKED discipline of robust.py). Returns a new simmodel with observed filled (the input is not modified), including data_range.

詳細使用指南

• sim_to_real_calibration 族使用指南

參考(範例資料、文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

• 演算法的正典(作者、年份)與用途見上面的族使用指南。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• poc_pocket_interreflection — py -3.11 examples/poc_pocket_interreflection.py

• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py

• simcal_checks_tour — py -3.11 examples/simcal_checks_tour.py

• simcal_tour — py -3.11 examples/simcal_tour.py

型別可銜接的下一個運算子(可接受 `simmodel` 作為輸入)

simcal_simulate · simcal_screen · simcal_fit · simcal_validate

同類別(`model`)

simcal_model · simcal_simulate

*Provenance: simcal.py — SIMCAL 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

simcal_observe — SIMCAL model op

用法