xpil_offset — 2D `geometry` op

• Data kinds: image → image

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

Usage

Shifts the image toroidally (wrap-around). Calls `PIL.ImageChops.offset` -- a cyclic shift in which pixels pushed past one edge reappear on the opposite edge, so unlike an ordinary translation the image edges don't turn black.

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

a が横方向のシフト量（画像幅に対する比率）、b が縦方向のシフト量（画像高さに対する比率）を振る。内容の連続性は崩れるため、タイル状のテクスチャ生成などに向く。

Detailed usage guide

• gallery2d_geometry 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_geometry — py -3.11 examples/gallery2d_geometry.py

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

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`geometry`)

rotate_img · rescale_img · affine_warp · sk_swirl · mirror_image · transpose_region · rotate_image · zoom_image_factor

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

xpil_offset — 2D geometry op