read_symbols_zxing — SYMBOL symbol_bridge op

• Data kinds: image2d → table

• Call: import fullseye as fs; fs.ledger.read_symbols_zxing(image, formats=None, *, try_rotate=True, try_invert=True) (to call the implementation directly, import symzxing; symzxing.read_symbols_zxing(image, formats=None, *, try_rotate=True, try_invert=True); from the registry, opssymbol.get("read_symbols_zxing"))

• GPU: none (CPU reference implementation only)

Usage

Read every symbol (1-D / 2-D) in an image with zxing-cpp (table).

> The detailed description below is the original text — the summary and the headings are translated.

Read every symbol zxing-cpp finds in a 2-D reflectance image (values in [0, 1], converted to 8-bit). formats is None (all) or a list of zxing format names ("QRCode", "DataMatrix", "EAN13", "Code128" …). Returns n, texts, formats, positions (4 corners (row, col) per symbol, top-left first as zxing reports them), valid and reader = "zxing-cpp <version>".

空の入力(辺が 0)は ValueError。拒否(ValueError): 2-D でない、非有限、値が [0, 1] の外、未知の形式名。zxing-cpp が入っていなければ ImportError(fail-closed、pip install zxing-cpp)。何も見つからなければ n = 0(読めないことは例外ではなく結果)。

Detailed usage guide

• symbol_reading family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• 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

Ops the type connects to (they accept table as input)

render_symbol · symbol_read_trials · symbol_read_pod · ocr_classify · ocr_read_line · ocr_read_trials

Same category (symbol_bridge)

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*Provenance: symzxing.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.