patchbank_fit — SPC anomaly_patch op

• 資料種類:video → table

• 呼叫: import fullseye as fs; fs.ledger.patchbank_fit(stack, patch=8, stride=4, scales=(1.0, 2.0, 4.0), groups=('gradient', 'gabor', 'lbp'), n_orient=4, coreset=0.1, proj_dim=32, position_weight=0.0, seed=0)(要直接呼叫實作,import anomaly_patch; anomaly_patch.patchbank_fit(stack, patch=8, stride=4, scales=(1.0, 2.0, 4.0), groups=('gradient', 'gabor', 'lbp'), n_orient=4, coreset=0.1, proj_dim=32, position_weight=0.0, seed=0);從台帳取用則 opsspc.get("patchbank_fit"))

用法

建立良品圖塊特徵的記憶庫,並用貪婪 k 中心覆蓋進行稀疏化(table)。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

stack is (n, H, W) or (n, H, W, 3) of good images (n >= 1). Features are standardised with the mean and the standard deviation of each dimension over all good patches. With position_weight > 0 the grid position (0..1 in each direction) times position_weight * sqrt(D) is appended, so a patch is compared with good patches from nearby positions (0 = position-free). coreset in (0, 1] is the fraction of patches kept: the greedy k-centre cover picks, from a seeded start, always the patch farthest from the ones already kept, measuring distances in a seeded random projection to proj_dim dimensions (None = exact). The covering radius in that space after the selection is returned: the largest distance from any good patch to the bank. coreset=1 keeps everything (radius 0, no selection, so seed and proj_dim have no effect).

Returns the model: bank (m, D'), mean / std (D), n_total patches, n_memory, fraction, covering_radius, the feature parameters and image_shape.

Raises ValueError for invalid parameters, a feature that is constant over all good patches, or a stack that would exceed the memory guard.

參考(範例資料、文獻)

• 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。

• 演算法的正典(作者、年份)與用途見上面的族使用指南。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• poc_patch_anomaly — py -3.11 examples/poc_patch_anomaly.py

型別可銜接的下一個運算子(可接受 table 作為輸入)

msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo

同類別(anomaly_patch)

patch_features · patchdist_fit · patchdist_score · patchbank_score


*Provenance: anomaly_patch.py — SPC 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.