geom_transform op• 数据种类:voxel → voxel
• 调用: import fullseye as fs; fs.ledger.vol_resize(vol, factor=None, shape=None, order=1, spacing=None, mode='nearest', cval=0.0)(要直接调用实现,import volxform; volxform.vol_resize(vol, factor=None, shape=None, order=1, spacing=None, mode='nearest', cval=0.0);从台账取用则 ops3d.get("vol_resize"))
• 经台账调用的返回值: fullseye.ledger.vol_resize(...) 只返回声明的 out 类型 voxel 的值(底层函数还会返回辅助信息)。需要被丢弃的部分时,使用 fullseye.ledger.vol_resize.raw(...),或直接调用 volxform.vol_resize。
• 底层返回: spacing 付き時
把体重采样到新网格(scipy.ndimage.zoom,cell 语义)。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
Exactly one of *factor* / *shape* selects the target grid:
• factor — a positive scalar or (fz, fy, fx); the output shape is round(dim * f) per axis (scipy's rule, each >= 1).
• shape — the exact output (D', H', W') (positive integers).
Sampling uses grid_mode=True (cell semantics): a voxel is a *cell*, so an integer upscale f maps input voxel i exactly onto the output block [f*i, f*(i+1)) (exact at order=0), and the volume's physical extent is preserved by the recomputed spacing — not the endpoint-aligned convention of scipy's grid_mode=False default.
*mode* / *cval* set how samples that fall outside the input cells (the outer half-voxel shell of every upscale at order >= 1) are filled. The default "nearest" extends the border voxel, so a constant volume resizes to the same constant and a ramp keeps its end values. Until 2026-09-03 the call was hard-wired to "grid-constant" with cval=0, which blended the outer shell toward 0 — an upscale x2 of an all-ones volume came back with min = 0.42 on its faces, an artefact that then leaked into every downstream measurement. Other accepted modes: "reflect", "mirror", "grid-mirror", "grid-wrap", and "grid-constant" (with *cval*) when a zero-padded border is genuinely wanted. "constant" / "wrap" are rejected with a hint (scipy needs the grid- variants here).
The return shape depends on *spacing*:
• spacing=None (default) — returns the resampled (D', H', W') float64 volume alone.
• *spacing* given ((sz, sy, sx) or a VolumeMeta) — returns a 2-tuple (out, new_spacing) where new_spacing = (sz * D/D', sy * H/H', sx * W/W'), so out.shape * new_spacing == vol.shape * spacing per axis: the physical size in millimetres is invariant. Keep the new spacing — every spacing-aware operator downstream needs it.
*order* is the spline degree (exact integer 0..5; 0 = nearest — the choice for masks / labels, 1 = trilinear — the grey-value default; >1 can overshoot, see the module notes). Shrinking aliases (no band-limiting) — mean-pool with volops.volume_downsample first for large reductions.
Raises ValueError when both or neither of *factor* / *shape* are given, or when the output would exceed MAX_VOXELS (checked before any allocation — a huge factor cannot balloon memory).
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• vol_geometry_transform — py -3.11 examples_3d/vol_geometry_transform.py
voxel 作为输入)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
geom_transform)*Provenance: volxform.py — 3D 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.