shape_locate — 2D `matching` op

• Data kinds: image → match

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

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

Usage

Template matching that accounts for rotation (shape-based matching). Equivalent to HALCON's `find_shape_model` (Find the best matches of a shape model in an image.).

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

`a, b は未使用——テンプレートは _ncc_locate と同じく set_match_template で事前登録する。テンプレートを 0°〜330° まで 30° 刻みで回転させながらそれぞれ _ncc_map（NCC）を計算し、全位置・全角度を通じて最良の相関を [相関値, y, x, 角度] で返す。角度の刻みが粗い（30°）ぶん、HALCON の find_shape_model のような連続的な角度精度は出ない——大まかな向き検出用。テンプレート未設定時は [0,0,0,0]`。

Detailed usage guide

• gallery2d_contour_measure 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)

• gallery2d_contour_measure — py -3.11 examples/gallery2d_contour_measure.py

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

identity

Same category (`matching`)

ncc_locate

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

shape_locate — 2D matching op