simcal_observe — SIMCAL `model` op

• 数据种类:simmodel × images → simmodel

• 调用: import fullseye as fs; fs.ledger.simcal_observe(model=None, images=None, roi=None, align=False, exposure=None, max_shift=8, split='train') -> 'dict'(要直接调用实现,import simcal; simcal.simcal_observe(model=None, images=None, roi=None, align=False, exposure=None, max_shift=8, split='train') -> 'dict';从台账取用则 opssimcal.get("simcal_observe"))

用法

将实测图像附加到 simmodel：配准、感兴趣区域与曝光归一化。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

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.

详细使用指南

• sim_to_real_calibration 族使用指南

参考(示例数据、文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者、年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• 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

类型可衔接的下一个算子(可接受 `simmodel` 作为输入)

simcal_simulate · simcal_screen · simcal_fit · simcal_validate

同类别(`model`)

simcal_model · simcal_simulate

*Provenance: simcal.py — SIMCAL 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

simcal_observe — SIMCAL model op

用法