read_pod op• データ種: table → table
• 呼び出し: import fullseye as fs; fs.ledger.symbol_read_trials(symbol, factor, levels, *, trials=20, reader='auto', symbologies=None, truth=None, module_px=4.0, render=None, capture=None, rotate='random', rotate_jitter_deg=5.0, level_jitter=0.0, refine=False, seed=0) (実装を直接呼ぶなら import symbolpod; symbolpod.symbol_read_trials(symbol, factor, levels, *, trials=20, reader='auto', symbologies=None, truth=None, module_px=4.0, render=None, capture=None, rotate='random', rotate_jitter_deg=5.0, level_jitter=0.0, refine=False, seed=0)、台帳から引くなら opssymbol.get("symbol_read_trials"))
• GPU: なし(CPU 参照実装のみ)
劣化量の各水準でシンボルを trials 回撮って読み、1 行 = 1 回の結果の表を返す(table)。
For each level of the degradation factor (see DEGRADATION_FACTORS), render the symbol (symrender.render_symbol), capture it (symrender.capture_degrade) and read it (symbol_read), trials times with fresh nuisance: in-plane rotation (rotate="random": uniform over 360° for 2-D symbols, ±rotate_jitter_deg around 0 for 1-D; a number fixes it), a sub-pixel offset in [0, 1) px and the sensor-noise seed. For a 1-D table the reader is restricted to the table's own symbology unless symbologies is given (a line reader enables only what it expects; all-symbology reading short-reads). render / capture hold the fixed settings of the other knobs; the sensor defaults to full_well_e = 20000, read_noise_e = 10, 8 bits. truth defaults to the table's text.
Returns columns level, trial, hit (1 = read the true text), misread (1 = read a different text), noread, text (object array), plus factor, worse_when_larger, truth, reader, stage.
level_jitter (relative, default 0) multiplies each trial's actual level by 1 + level_jitter · N(0, 1) while the table keeps the nominal level — the process variation of the line (e.g. part height moving the focus). It is a declared assumption, not a fit knob.
refine=True first runs every level with max(4, trials // 4) trials, brackets the transition (the last level read >= 95 % and the first read <= 5 %, in the order of increasing degradation) and then runs len(levels) evenly spaced levels across that bracket with trials each (stage = "coarse" / "fine"; both enter the table). Without it a coarse sweep easily ends in complete separation.
空の入力(levels が 3 未満)は ValueError。拒否(ValueError): 未知の factor、trials < 1、水準の重複・非有限、render / capture に掃引中の因子と同じ鍵、読み取り器を決められない表。
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。
• poc_symbol_package_1d — py -3.11 examples/poc_symbol_package_1d.py
• poc_symbol_part_dpm — py -3.11 examples/poc_symbol_part_dpm.py
table を入力に取れる)render_symbol · symbol_read_pod · ocr_classify · ocr_read_line · ocr_read_trials
read_pod)*Provenance: symbolpod.py — SYMBOL 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.