descriptor_to_table — REPRCONV `descriptor` op

• Data kinds: descriptor → table

• Call: import reprconv; reprconv.descriptor_to_table(descriptor) (or opsreprconv.get("descriptor_to_table"))

Usage

Descriptor → a summary `table`. One-way.

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

次元・ノルム・エネルギー集中(正規化した二乗和の上位 10% が占める割合)を

出す。記述子が「実質何次元使っているか」を見るためのもので、次元だけ多くて

ほぼ全部 0 という失敗を可視化する。

Args:

descriptor: (n,) または (m, n)。

Returns:

dict(`shape / n / l2 / mean / std / min` /

`max / top10pct_energy / nonzero_fraction`)。

Raises:

ValueError: 形状不正 / 非有限。

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)

• representation_conversion — py -3.11 examples/representation_conversion.py

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

—

Same category (`descriptor`)

descriptor_to_matrix · matrix_to_descriptor

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

descriptor_to_table — REPRCONV descriptor op