lookup_lexicon — MV `classify` op

• Data kinds: table → scalar

• Call: import fullseye as fs; fs.ledger.lookup_lexicon(lexicon, word) (to call the implementation directly, import mvclass; mvclass.lookup_lexicon(lexicon, word); from the registry, opsmv.get("lookup_lexicon"))

• HALCON equivalent: lookup_lexicon (the HALCON reference is a useful guide to its meaning and parameters)

• GPU: none (CPU reference implementation only)

Usage

Check whether a word is in the list by exact match and return 1.0 if so, otherwise 0.0.

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

空の入力(word が空文字)は ValueError。

Args:

lexicon: create_lexicon の返り。

word: 調べる語。

Returns:

一覧にあれば 1.0、無ければ 0.0。

Detailed usage guide

• machine_vision_classics 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)

• machine_vision_tour — py -3.11 examples/machine_vision_tour.py

Ops the type connects to (they accept `scalar` as input)

—

Same category (`classify`)

train_class_gmm · classify_class_gmm · evaluate_class_gmm · train_class_knn · classify_class_knn · train_class_mlp · classify_class_mlp · train_class_svm

*Provenance: mvclass.py — MV operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

lookup_lexicon — MV classify op