shape_synthesize — SHAPESTAT model op

• Data kinds: shapemodel → points

• Call: import fullseye as fs; fs.ledger.shape_synthesize(model, sigmas=None, n_modes: 'int' = 3, seed: 'int' = 0) (to call the implementation directly, import shapestats; shapestats.shape_synthesize(model, sigmas=None, n_modes: 'int' = 3, seed: 'int' = 0); from the registry, opsshapestat.get("shape_synthesize"))

Usage

Generates 1 plausible new shape from the model. → (N, 3).

If sigmas is given, scores of that many standard deviations are used; if omitted, the first n_modes components are drawn from a normal distribution. A shape beyond 3 standard deviations is one of which the group contained not even 1, so by default it is not drawn (it can be made by stating it explicitly via sigmas).

Detailed usage guide

• shape_statistics 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)

• shapestat_landmark_tour — py -3.11 examples/shapestat_landmark_tour.py

Ops the type connects to (they accept points as input)

shape_perturb · procrustes_fit · procrustes_align · procrustes_distance · shape_project · shape_mahalanobis · mirror_plane_from_pairs · landmark_asymmetry

Same category (model)

shape_pca · shape_project · shape_reconstruct · shape_mahalanobis · shape_explained_variance

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

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.