domain op• 資料種類:voxel → voxel
• 呼叫: import fullseye as fs; fs.ledger.vol_tiled_map(vol, fn, tile=64, overlap=8)(要直接呼叫實作,import volops; volops.vol_tiled_map(vol, fn, tile=64, overlap=8);從台帳取用則 ops3d.get("vol_tiled_map"))
把形狀不變的體運算子分成重疊 z 板塊施加,以壓低峰值佔用。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
working memory is bounded by the slab — not the volume.
The third leg of the memory family: :func:vol_crop_domain shrinks *where*
you compute, :mod:volregion shrinks *what you keep*, and this bounds *how
much lives in RAM at once*. Each slab `vol[z0-overlap : z1+overlap]` is
run through *fn* and only the core `[z0:z1)` of the result is kept, so a
volume far above an operator's comfortable size streams through in
constant-memory pieces (measured: peak working set of a Gaussian drops with
the slab size while the output stays exact — see the test).
Correctness contract (the honest part): the result equals `fn(vol)`
exactly only for *local* operators whose spatial footprint along z is at
most *overlap* voxels on each side (a Gaussian of sigma s with scipy's
default truncation needs `overlap >= round(4 * s)`; a morphology with a
k-voxel structuring element needs `overlap >= k`). A *global* operator
(Otsu, normalisation, anything that looks at the whole histogram) is
silently WRONG under tiling — this function cannot detect that, so it is
documented instead: do not tile global operators.
Parameters: *fn* is any callable mapping a `(d, H, W)` float64 volume to
an array of the same shape (e.g. `lambda v: vol_gradient_magnitude(v)`).
*tile* is the slab thickness (>= 1), *overlap* the per-side context
(>= 0). A slab result of the wrong shape raises `ValueError` immediately
(fail-closed — a shape-changing fn would silently corrupt the assembly).
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• rle_region_efficiency — py -3.11 examples_3d/rle_region_efficiency.py
voxel 作為輸入)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
domain)vol_reduce_domain · vol_bounding_box · vol_crop_domain · vol_uncrop
*Provenance: volops.py — 3D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.