修复完美像素无法识别自身产物的网格
边缘 profile 用的是跨度 2 的中心差分,硬块边界落在列 b-1|b 之间时 profile[b-1] 与 profile[b] 逐位相等:两者跨的是同一条边,逐行被加数 相同、求和顺序相同。峰值判定两侧都用严格大于,会把这个 2 宽平台的 两端一起丢掉,于是最干净的输入反而 0 个峰、被判为未识别到网格—— 完美像素处理不了自己的输出。 estimate_step_size 左邻比较放宽为 >=,右邻保持严格 >:平台只保留 一个索引,且是右端,正好是左闭右开语义下的真实块边。两侧都放宽则 会把长度 K 的常数段整段判为峰。 walk 与 snap_uniform_cuts 的 argmax 同样改为 >=,取等值段的最后一 个索引。取第一个会让每条切线落在真实边界左边 1px,每个 cell 因此 混进 1/4 的邻块。实测在 266x253 的最近邻放大像素画上,切线命中真实 块边从 2.6% 升到 98.5%,左右镜像、上下翻转、180° 旋转下一致;龙图 内容区内 134/134 全中。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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@@ -588,10 +588,18 @@ fn estimate_step_size(profile: &[f64], config: SnapConfig) -> Option<f64> {
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return None;
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}
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let threshold = maximum * config.peak_threshold_multiplier;
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// The profile is a two-span central difference, so a hard block edge between
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// columns `b - 1` and `b` makes `profile[b - 1]` and `profile[b]` bitwise equal:
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// both straddle the same edge and sum the same per-row terms in the same order.
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// A strict comparison on both sides rejects both ends of that plateau, which is
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// why perfectly snapped pixel art used to yield zero peaks. Accepting equality on
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// the left keeps exactly one index per plateau — the right end, which is the real
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// boundary — while a strict comparison on the right still rejects the interior of
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// wider constant runs.
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let peaks = (1..profile.len().saturating_sub(1))
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.filter(|&index| {
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profile[index] > threshold
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&& profile[index] > profile[index - 1]
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&& profile[index] >= profile[index - 1]
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&& profile[index] > profile[index + 1]
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})
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.collect::<Vec<_>>();
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@@ -694,7 +702,10 @@ fn walk(
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let mut best_index = start;
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let mut best_value = -1.0f64;
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for (index, value) in profile.iter().enumerate().take(end).skip(start) {
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if *value > best_value {
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// `>=` keeps the last index of an equal run, matching the plateau end that
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// `estimate_step_size` selects. Picking the first index instead would place
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// every cut one pixel left of the real block boundary.
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if *value >= best_value {
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best_value = *value;
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best_index = index;
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}
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@@ -878,7 +889,8 @@ fn snap_uniform_cuts(
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.take(end.min(profile.len().saturating_sub(1)) + 1)
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.skip(start)
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{
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if *value > best_value {
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// Same plateau-end convention as `walk`.
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if *value >= best_value {
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best_value = *value;
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best_index = index;
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}
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