model opsimmodel × images → simmodelimport fullseye as fs; fs.ledger.simcal_observe(model=None, images=None, roi=None, align=False, exposure=None, max_shift=8, split='train') -> 'dict' (実装を直接呼ぶなら import simcal; simcal.simcal_observe(model=None, images=None, roi=None, align=False, exposure=None, max_shift=8, split='train') -> 'dict'、台帳から引くなら opssimcal.get("simcal_observe"))Attach measured images to a simmodel: alignment, region of interest and exposure normalisation.
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.
py -3.11 examples/poc_pocket_interreflection.pypy -3.11 examples/poc_simcal_pixel_shift.pypy -3.11 examples/poc_simcal_telecentric.pypy -3.11 examples/poc_simcal_thin_film.pypy -3.11 examples/simcal_checks_tour.pypy -3.11 examples/simcal_tour.pysimmodel を入力に取れる)simcal_simulate · simcal_screen · simcal_fit · simcal_validate
model)simcal_model · simcal_simulate
Provenance: simcal.py — SIMCAL 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.