table_field_image2d — REPRCONV `field` op

• Data kinds: table → image2d

• Call: import fullseye as fs; fs.ledger.table_field_image2d(table, key) (to call the implementation directly, import reprconv; reprconv.table_field_image2d(table, key); from the registry, opsreprconv.get("table_field_image2d"))

• GPU: none (CPU reference implementation only)

Usage

One field of a table table → a 2-D image image2d. The bridge from ops that return a table to ops that take images.

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

vx_sobel3x3 の {gx, gy, valid} → vx_magnitude(gx, gy)、flow_from_depth_motion の {u, v, ...} → ttc_from_flow(u, v) のように、dict を返す op の欄を名指しで取り出す。取り出した値が 2-D の有限な数値配列であることを確かめる(型の名前どおりの物しか通さない)。bool の欄(valid のような印)は 0/1 の float にする。

Args:

table: 欄の名前 → 値の dict(table_read_csv の返りなら columns から読む)。

key: 欄の名前。

Returns:

(H, W) の配列(dtype はそのまま。bool は float64)。

Raises:

ValueError: dict でない / 欄が無い / 2-D でない / 非有限 / 空。

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)

• type_connectivity_tour — py -3.11 examples/type_connectivity_tour.py

Ops the type connects to (they accept `image2d` as input)

keypoints_from_image2d

Same category (`field`)

table_field_signal · table_field_matrix · table_field_measurement

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

table_field_image2d — REPRCONV field op