simulate op• Data kinds: table → table
• Call: import fullseye as fs; fs.ledger.virtual_acceptance_test(sensor, layout=None, mpe=None, exclude_fraction=0.003, seed=0) (to call the implementation directly, import acceptance3d; acceptance3d.virtual_acceptance_test(sensor, layout=None, mpe=None, exclude_fraction=0.003, seed=0); from the registry, opsacceptance.get("virtual_acceptance_test"))
• GPU: none (CPU reference implementation only)
Scans every artefact position with a simulated sensor and returns PF, PS, SD, F and the verdict (table).
> The detailed description below is the original text — the summary and the headings are translated.
Run the whole virtual acceptance test: scan the probing sphere, the ball bar in its 7 positions and the flat in its 7 positions with the simulated sensor (see acceptance_scan), evaluate them with the same ops a real point cloud would go through, and (if mpe is given) the verdict.
返す dict: pf・ps(探針の球の位置ごと)、sd(ダンベル 7 姿勢)、f(平面 7 姿勢)、probe・bars・planes(各評価 op の返り)、verdict(mpe があれば acceptance_verdict)、layout、sensor(既定値で埋めた写し)。ダンベルの 2 球は場面の番号で分ける(実機では作業者が範囲を切る作業にあたる)。
Raises ValueError: センサや配置が不正、どれかの試験体が 10 点未満しか写らない。
• optical_3d_acceptance family guide
• 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.
• poc_virtual_acceptance_3d — py -3.11 examples/poc_virtual_acceptance_3d.py
table as input)acceptance_verdict · acceptance_scan · acceptance_error_budget
simulate)*Provenance: acceptance3d.py — ACCEPTANCE 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.