tb_indices_to_labels — 2D `typed` op

• Data kinds: signal → volume

• Call: fullseye.apply(img, "tb_indices_to_labels", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

Indices `(N,) -> selection mask labels. An exit of indices` (reversible).

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

`max(indices) + 1` 長の 1-D ラベル配列を作り、選ばれた位置に 1 を置く。

`indices -> labels -> indices` は bit 一致(重複と順序を除く)。

逆向き `labels -> indices -> labels` は末尾の背景を落とす

(長さが `max_index + 1` に切り詰まる)—— これは情報の損失であって

バグではないので、:func:labels_to_indices の docstring に量を書いてある。

Args:

indices: (N,) の非負整数配列。

Returns:

(max + 1,) の int64 ラベル配列(選択 = 1、背景 = 0)。

Raises:

ValueError: 1-D でない / 負 / 空 / 上限超。

2-D 進化レジストリへ橋渡しした reprconv の op `indices_to_labels。実装は同じで、呼び出し規約だけ op(v, a, b) に合わせてある。この op に調整点は無く、a も b` も使われない。

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.

Runnable examples (verified samples that actually call this op)

• (none yet)

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

identity · vol_gaussian · vol_median · vol_erode · vol_dilate · vol_threshold · vol_reg_dilate · vol_reg_erode

Same category (`typed`)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tb_indices_to_labels — 2D typed op