read_pod op• Data kinds: image2d → table
• Call: import fullseye as fs; fs.ledger.symbol_read(image, reader='barcode1d', symbologies=None) (to call the implementation directly, import symbolpod; symbolpod.symbol_read(image, reader='barcode1d', symbologies=None); from the registry, opssymbol.get("symbol_read"))
• GPU: none (CPU reference implementation only)
Read an image with the chosen reader and return {"ok", "text", "error"} (table).
> The detailed description below is the original text — the summary and the headings are translated.
Read an image with one of the family's readers ("barcode1d" = barcode1d.read_barcode1d, "qr" = qrsym.qr_read, "datamatrix" = dmsym.dm_read, "zxing" = symzxing.read_symbols_zxing, optional extra, restricted to symbologies mapped by ZXING_FORMATS; its UPC-A answer is normalised to 12 digits) and return ok (decoded at all), text (None if not) and error (the reader's message on a no-read). A no-read is not an exception here — it is an outcome to be counted.
空の入力は ValueError(読み取り器の検査をそのまま通す)。拒否(ValueError): 未知の reader、2-D でない、非有限。
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_symbol_package_1d — py -3.11 examples/poc_symbol_package_1d.py
table as input)render_symbol · symbol_read_trials · symbol_read_pod · ocr_classify · ocr_read_line · ocr_read_trials
read_pod)symbol_read_trials · symbol_read_pod
*Provenance: symbolpod.py — SYMBOL operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.