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| Author | SHA1 | Date | |
|---|---|---|---|
 Brandon Thomas
|
d5a2c90411 |
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@@ -59,6 +59,7 @@ pub mod scancrop;
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pub mod seam;
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pub mod segment;
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pub mod selection;
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mod selection_blur;
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mod sharpen;
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pub mod stack;
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mod stylize;
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+174
-87
@@ -4,10 +4,12 @@
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//! and combining with an existing selection.
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use photocraft_color::PixelFormat;
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use photocraft_geom::Rect;
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use photocraft_geom::{Rect, TILE_SIZE, TileCoord};
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use photocraft_raster::Surface;
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use serde::{Deserialize, Serialize};
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use crate::photo_util::par_rows;
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/// How a new selection combines with the current one.
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#[derive(Clone, Copy, Debug, PartialEq, Eq, Serialize, Deserialize, Default)]
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#[serde(rename_all = "camelCase")]
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@@ -36,6 +38,32 @@ pub fn mask_from_surface(s: Option<&Surface>, area: Rect) -> Vec<f32> {
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let n = area.width() as usize * area.height() as usize;
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match s {
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None => vec![0.0; n],
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// Selections are GRAY8: copy tile bytes through a table, tile rows in parallel.
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Some(s) if s.format() == PixelFormat::GRAY8 && !area.is_empty() => {
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let w = area.width() as usize;
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let lut: [f32; 256] = std::array::from_fn(|i| i as f32 / 255.0);
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let dp = s.default_pixel().first().copied().unwrap_or(0.0);
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let mut out = vec![0.0f32; n];
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par_rows(&mut out, w, 1, |yy, row| {
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let y = area.y0 + yy as i32;
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let mut x = area.x0;
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while x < area.x1 {
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let tc = TileCoord::containing(x, y);
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let x1 = (tc.rect().x1).min(area.x1);
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let dst = row.get_mut((x - area.x0) as usize..(x1 - area.x0) as usize).unwrap_or_default();
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let src = s.tile(tc).and_then(|t| {
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let base = (y - tc.ty * TILE_SIZE) as usize * TILE_SIZE as usize + (x - tc.tx * TILE_SIZE) as usize;
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t.bytes().get(base..base + dst.len())
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});
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match src {
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Some(src) => dst.iter_mut().zip(src).for_each(|(d, b)| *d = lut[*b as usize]),
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None => dst.fill(dp),
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}
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x = x1;
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}
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});
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out
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}
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Some(s) => {
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let mut v = Vec::new();
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s.read_region_into(area, &mut v);
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@@ -45,35 +73,81 @@ pub fn mask_from_surface(s: Option<&Surface>, area: Rect) -> Vec<f32> {
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}
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}
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/// 8-bit selection value of a coverage (clamped and rounded, as GRAY8 surfaces store it; NaN → 0).
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#[inline]
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fn coverage8(v: f32) -> u8 {
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(v.clamp(0.0, 1.0) * 255.0 + 0.5) as u8
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}
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/// Builds a GRAY8 selection surface from 8-bit coverage over `area`, allocating only the tiles
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/// that hold something (as [`Surface::prune`] would leave them).
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fn surface_from_coverage8(bytes: &[u8], area: Rect) -> Surface {
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let mut s = Surface::new(PixelFormat::GRAY8);
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let w = area.width() as usize;
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let ts = TILE_SIZE as usize;
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for tc in area.tiles() {
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let tr = tc.rect().intersect(&area);
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let (lx, span) = ((tr.x0 - area.x0) as usize, tr.width() as usize);
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let row = |y: i32| bytes.get((y - area.y0) as usize * w + lx..(y - area.y0) as usize * w + lx + span);
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if !(tr.y0..tr.y1).any(|y| row(y).is_some_and(|r| r.iter().any(|b| *b != 0))) {
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continue;
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}
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let data = s.tile_mut(tc).bytes_mut();
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for y in tr.y0..tr.y1 {
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let o = (y - tc.ty * TILE_SIZE) as usize * ts + (tr.x0 - tc.tx * TILE_SIZE) as usize;
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if let (Some(src), Some(dst)) = (row(y), data.get_mut(o..o + span)) {
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dst.copy_from_slice(src);
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}
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}
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}
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s
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}
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/// 8-bit coverage of `m` (missing samples are 0), computed in parallel.
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fn to_coverage8(m: &[f32], area: Rect, f: impl Fn(usize, f32) -> f32 + Sync + Send) -> Vec<u8> {
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let w = area.width() as usize;
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let mut bytes = vec![0u8; w * area.height() as usize];
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par_rows(&mut bytes, w, 1, |y, row| {
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for (x, b) in row.iter_mut().enumerate() {
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let i = y * w + x;
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*b = coverage8(f(i, m.get(i).copied().unwrap_or(0.0)));
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}
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});
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bytes
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}
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/// Builds a GRAY8 selection surface from a mask over `area`.
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pub fn mask_to_surface(m: &[f32], area: Rect) -> Surface {
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let mut s = Surface::new(PixelFormat::GRAY8);
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if !area.is_empty() {
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s.write_region(area, m);
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if area.is_empty() {
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return Surface::new(PixelFormat::GRAY8);
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}
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s.prune();
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s
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surface_from_coverage8(&to_coverage8(m, area, |_, v| v), area)
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}
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/// Combines `new` with `old` by `mode`. Returns `None` when nothing is selected.
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pub fn combine(old: Option<&Surface>, new: &[f32], area: Rect, mode: SelectionMode) -> Option<Surface> {
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let prev = mask_from_surface(old, area);
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// Quantize to the 8-bit grid selections are stored on, so combining a
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// mask with itself is exact.
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let q: Vec<f32> = new.iter().map(|v| (v.clamp(0.0, 1.0) * 255.0).round() / 255.0).collect();
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let new = &q[..];
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let out: Vec<f32> = match mode {
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SelectionMode::Replace => new.to_vec(),
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SelectionMode::Add => prev.iter().zip(new).map(|(a, b)| a.max(*b)).collect(),
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SelectionMode::Subtract => prev.iter().zip(new).map(|(a, b)| (a - b).max(0.0)).collect(),
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SelectionMode::Intersect => prev.iter().zip(new).map(|(a, b)| a.min(*b)).collect(),
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};
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// Below half an 8-bit step is nothing (selections are stored as 8-bit).
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let out: Vec<f32> = out.into_iter().map(|v| if v < 0.5 / 255.0 { 0.0 } else { v }).collect();
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if out.iter().all(|v| *v <= 0.0) {
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if area.is_empty() {
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return None;
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}
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Some(mask_to_surface(&out, area))
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// Quantize to the 8-bit grid selections are stored on, so combining a mask with itself is
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// exact. Below half an 8-bit step is nothing.
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let q = |v: f32| f32::from(coverage8(v)) / 255.0;
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let bytes = match mode {
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SelectionMode::Replace => to_coverage8(new, area, |_, v| v),
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_ => {
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let prev = mask_from_surface(old, area);
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let at = |i: usize| prev.get(i).copied().unwrap_or(0.0);
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match mode {
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SelectionMode::Add => to_coverage8(new, area, |i, v| at(i).max(q(v))),
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SelectionMode::Subtract => to_coverage8(new, area, |i, v| (at(i) - q(v)).max(0.0)),
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_ => to_coverage8(new, area, |i, v| at(i).min(q(v))),
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}
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}
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};
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if bytes.iter().all(|b| *b == 0) {
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return None;
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}
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Some(surface_from_coverage8(&bytes, area))
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}
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fn close(a: [f32; 4], b: [f32; 4], tol: f32) -> bool {
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@@ -548,76 +622,17 @@ pub fn border(m: &[f32], w: usize, h: usize, r: f32) -> Vec<f32> {
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outer.iter().zip(inner).map(|(o, i)| (o - i).max(0.0)).collect()
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}
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fn box_blur(m: &[f32], w: usize, h: usize, r: usize) -> Vec<f32> {
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if r == 0 {
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return m.to_vec();
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}
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let mut tmp = vec![0.0f32; m.len()];
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let win = (2 * r + 1) as f32;
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for y in 0..h {
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for x in 0..w {
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let mut s = 0.0;
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for k in x as i64 - r as i64..=x as i64 + r as i64 {
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s += m[y * w + k.clamp(0, w as i64 - 1) as usize];
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}
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tmp[y * w + x] = s / win;
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}
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}
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let mut out = vec![0.0f32; m.len()];
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for y in 0..h {
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for x in 0..w {
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let mut s = 0.0;
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for k in y as i64 - r as i64..=y as i64 + r as i64 {
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s += tmp[k.clamp(0, h as i64 - 1) as usize * w + x];
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}
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out[y * w + x] = s / win;
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}
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}
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out
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}
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/// Smooth: removes specks and rounds corners (box average, then re-threshold).
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/// Smooth: removes specks and rounds corners (box average of radius `round(r)`, edges
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/// replicated, then re-thresholded). Parallel and independent of the radius (#211).
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pub fn smooth(m: &[f32], w: usize, h: usize, r: f32) -> Vec<f32> {
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box_blur(m, w, h, r.max(0.0).round() as usize).into_iter().map(|v| ((v - 0.5) * 4.0 + 0.5).clamp(0.0, 1.0)).collect()
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crate::selection_blur::smooth(m, w, h, r)
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}
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/// Feather: Gaussian blur of the mask with sigma = radius / 2.
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/// Feather: Gaussian blur of the mask with sigma = radius / 2 (kernel truncated at 3σ, zero
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/// beyond the canvas). Parallel, confined to the selection's bounds, and independent of the
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/// radius (#211).
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pub fn feather(m: &[f32], w: usize, h: usize, radius: f32) -> Vec<f32> {
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let sigma = radius.max(0.0) / 2.0;
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if sigma < 0.1 {
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return m.to_vec();
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}
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let r = (sigma * 3.0).ceil() as i64;
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let k: Vec<f32> = (-r..=r).map(|i| (-(i * i) as f32 / (2.0 * sigma * sigma)).exp()).collect();
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let s: f32 = k.iter().sum();
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let k: Vec<f32> = k.iter().map(|v| v / s).collect();
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let mut tmp = vec![0.0f32; m.len()];
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for y in 0..h {
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for x in 0..w {
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let mut a = 0.0;
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for (i, kv) in k.iter().enumerate() {
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let xx = x as i64 + i as i64 - r;
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if xx >= 0 && xx < w as i64 {
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a += m[y * w + xx as usize] * kv;
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}
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}
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tmp[y * w + x] = a;
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}
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}
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let mut out = vec![0.0f32; m.len()];
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for y in 0..h {
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for x in 0..w {
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let mut a = 0.0;
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for (i, kv) in k.iter().enumerate() {
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let yy = y as i64 + i as i64 - r;
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if yy >= 0 && yy < h as i64 {
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a += tmp[yy as usize * w + x] * kv;
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}
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}
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out[y * w + x] = a;
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}
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}
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out
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crate::selection_blur::feather(m, w, h, radius)
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}
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/// Anti-aliased polygon (even-odd) coverage over `area`: exact horizontal
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@@ -828,6 +843,78 @@ mod tests {
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assert_eq!(SelectionMode::parse("add"), SelectionMode::Add);
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}
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/// The previous (per-sample) conversions, kept as the oracle for the tiled fast paths.
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fn old_mask_to_surface(m: &[f32], area: Rect) -> Surface {
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let mut s = Surface::new(PixelFormat::GRAY8);
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if !area.is_empty() {
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s.write_region(area, m);
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}
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s.prune();
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s
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}
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fn old_combine(old: Option<&Surface>, new: &[f32], area: Rect, mode: SelectionMode) -> Option<Surface> {
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let mut prev = Vec::new();
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match old {
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Some(s) => s.read_region_into(area, &mut prev),
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None => prev = vec![0.0; new.len()],
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}
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let q: Vec<f32> = new.iter().map(|v| (v.clamp(0.0, 1.0) * 255.0).round() / 255.0).collect();
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let out: Vec<f32> = match mode {
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SelectionMode::Replace => q,
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SelectionMode::Add => prev.iter().zip(&q).map(|(a, b)| a.max(*b)).collect(),
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SelectionMode::Subtract => prev.iter().zip(&q).map(|(a, b)| (a - b).max(0.0)).collect(),
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SelectionMode::Intersect => prev.iter().zip(&q).map(|(a, b)| a.min(*b)).collect(),
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};
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let out: Vec<f32> = out.into_iter().map(|v| if v < 0.5 / 255.0 { 0.0 } else { v }).collect();
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if out.iter().all(|v| *v <= 0.0) {
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return None;
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}
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Some(old_mask_to_surface(&out, area))
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}
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#[test]
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fn tiled_conversions_match_per_sample_ones() {
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let mut rng = crate::photo_util::Rng(7);
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let mut u = move || (rng.next() >> 11) as f32 / (1u64 << 53) as f32;
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// Off-grid areas spanning several tiles, including negative origins.
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for area in [Rect::new(0, 0, 300, 20), Rect::new(-37, 250, 530, 263), Rect::new(255, -3, 258, 600), Rect::new(5, 5, 6, 6)] {
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let n = area.width() as usize * area.height() as usize;
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let old_m: Vec<f32> = (0..n).map(|i| if i % 97 < 40 { u() } else { 0.0 }).collect();
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let old = old_mask_to_surface(&old_m, area);
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let fast = mask_to_surface(&old_m, area);
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assert_eq!(fast, old, "{area:?}");
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let mut slow_read = Vec::new();
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old.read_region_into(area, &mut slow_read);
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assert_eq!(mask_from_surface(Some(&old), area), slow_read);
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for kind in 0..3 {
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let new: Vec<f32> = (0..n)
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.map(|i| match kind {
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0 => u() * 1.2 - 0.1,
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1 => {
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if i % 131 < 50 {
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1.0
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} else {
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0.0
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}
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}
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_ => 0.001,
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})
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.collect();
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for mode in [SelectionMode::Replace, SelectionMode::Add, SelectionMode::Subtract, SelectionMode::Intersect] {
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for prev in [None, Some(&old)] {
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assert_eq!(combine(prev, &new, area, mode), old_combine(prev, &new, area, mode), "{area:?} {kind} {mode:?}");
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}
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}
|
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}
|
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}
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// A short mask buffer reads as zeros instead of panicking.
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let a = Rect::new(0, 0, 10, 10);
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assert!(combine(None, &[1.0; 5], a, SelectionMode::Replace).is_some());
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assert_eq!(mask_to_surface(&[], a).tile_count(), 0);
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assert!(combine(None, &[], Rect::EMPTY, SelectionMode::Replace).is_none());
|
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}
|
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fn blobs(w: i32, h: i32) -> Vec<[u8; 4]> {
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// Deterministic blotchy image with gradients and hard edges.
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(0..w * h)
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@@ -0,0 +1,788 @@
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//! Fast mask blurs behind Select › Modify › Smooth and Feather (#211).
|
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//!
|
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//! Both are separable and give the same numbers as the direct definitions (see the oracle tests):
|
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//!
|
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//! * **Smooth** is a box average with edge-replicated borders: a running sum per line, `O(1)` per
|
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//! pixel whatever the radius.
|
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//! * **Feather** is a Gaussian (`σ = radius / 2`, kernel truncated at `⌈3σ⌉` and normalized, zero
|
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//! outside the canvas). Small kernels are convolved directly. Wide ones are written as a short
|
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//! cosine series over the kernel window, `k(j) ≈ a₀ + Σ aₖ cos(ωₖ j)`, and every term is a
|
||||
//! sliding windowed sum `Σ m[x+j]·e^{iωₖj}` updated in `O(1)` per pixel, so the cost doesn't grow
|
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//! with the radius. The series is fitted per call by least squares and its error is checked
|
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//! (≤ 0.3/255 per pass); a fit that misses falls back to the direct convolution.
|
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//!
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||||
//! Work is confined to the mask's non-zero bounding box grown by the kernel radius (pixels
|
||||
//! farther away stay exactly 0). Rows run in parallel (`par_rows`/`par_map`, serial on wasm);
|
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//! the vertical pass walks strips of 128 columns row by row (vectorizable, no transpose). Windows
|
||||
//! lying entirely in a constant run (inside or outside the selection) are written without
|
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//! arithmetic.
|
||||
|
||||
use crate::photo_util::{par_map, par_rows};
|
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|
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/// Cosine terms in the wide-kernel series (5 gives ≈ 0.1/255 per pass; see the module docs).
|
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const TERMS: usize = 5;
|
||||
/// Kernels up to this radius are convolved directly.
|
||||
const DIRECT_MAX_R: usize = 12;
|
||||
/// Largest error (in mask units, per pass) a cosine fit may have before falling back.
|
||||
const FIT_TOL: f64 = 0.3 / 255.0;
|
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/// σ cap: far beyond any canvas, keeps the kernel arithmetic finite for absurd radii.
|
||||
const MAX_SIGMA: f32 = 100_000.0;
|
||||
/// Box radius cap for the same reason.
|
||||
const MAX_BOX_R: usize = 1 << 24;
|
||||
/// Columns per task in the vertical pass.
|
||||
const STRIP: usize = 64;
|
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|
||||
/// A window of the mask: columns `x0..x1`, rows `y0..y1`.
|
||||
#[derive(Clone, Copy, Debug)]
|
||||
struct Win {
|
||||
x0: usize,
|
||||
x1: usize,
|
||||
y0: usize,
|
||||
y1: usize,
|
||||
}
|
||||
|
||||
impl Win {
|
||||
fn w(&self) -> usize {
|
||||
self.x1 - self.x0
|
||||
}
|
||||
fn h(&self) -> usize {
|
||||
self.y1 - self.y0
|
||||
}
|
||||
}
|
||||
|
||||
/// Bounding box of the non-zero samples (NaN counts as non-zero), or `None` when all are 0.
|
||||
fn nonzero_bounds(m: &[f32], w: usize, h: usize) -> Option<Win> {
|
||||
let rows: Vec<Option<(usize, usize)>> = par_map(h, |y| {
|
||||
let row = m.get(y * w..(y + 1) * w)?;
|
||||
let first = row.iter().position(|v| *v != 0.0)?;
|
||||
let last = row.iter().rposition(|v| *v != 0.0)?;
|
||||
Some((first, last + 1))
|
||||
});
|
||||
let mut b: Option<Win> = None;
|
||||
for (y, r) in rows.into_iter().enumerate() {
|
||||
if let Some((a, z)) = r {
|
||||
b = Some(match b {
|
||||
None => Win { x0: a, x1: z, y0: y, y1: y + 1 },
|
||||
Some(b) => Win { x0: b.x0.min(a), x1: b.x1.max(z), y0: b.y0, y1: y + 1 },
|
||||
});
|
||||
}
|
||||
}
|
||||
b
|
||||
}
|
||||
|
||||
/// `b` grown by `g` on every side, clamped to `w × h`.
|
||||
fn grow(b: Win, g: usize, w: usize, h: usize) -> Win {
|
||||
Win { x0: b.x0.saturating_sub(g), x1: b.x1.saturating_add(g).min(w), y0: b.y0.saturating_sub(g), y1: b.y1.saturating_add(g).min(h) }
|
||||
}
|
||||
|
||||
/// The horizontal pass's output as the vertical pass reads it: `bh` rows of `gw` samples placed
|
||||
/// at window rows `off..off + bh` of a window `gh` rows tall (other rows are zero).
|
||||
struct Rows<'a> {
|
||||
tmp: &'a [f32],
|
||||
gw: usize,
|
||||
bh: usize,
|
||||
off: usize,
|
||||
gh: usize,
|
||||
}
|
||||
|
||||
impl Rows<'_> {
|
||||
/// Columns `c0..c0 + sw` of window row `yy`, or `None` for a zero row.
|
||||
fn get(&self, yy: usize, c0: usize, sw: usize) -> Option<&[f32]> {
|
||||
let r = yy.checked_sub(self.off).filter(|r| *r < self.bh)?;
|
||||
self.tmp.get(r * self.gw + c0..r * self.gw + c0 + sw)
|
||||
}
|
||||
}
|
||||
|
||||
/// Runs the vertical pass `f(c0, sw)` on strips of `STRIP` columns in parallel; each returns its
|
||||
/// `gh × sw` result, row-major.
|
||||
fn strips(gw: usize, f: impl Fn(usize, usize) -> Vec<f32> + Sync + Send) -> Vec<Vec<f32>> {
|
||||
par_map(gw.div_ceil(STRIP), |s| {
|
||||
let c0 = s * STRIP;
|
||||
f(c0, STRIP.min(gw - c0))
|
||||
})
|
||||
}
|
||||
|
||||
/// Writes the strips into a fresh `w × h` mask through `f`; outside the window it is `outside`.
|
||||
fn assemble(strips: &[Vec<f32>], win: Win, w: usize, h: usize, outside: f32, f: impl Fn(f32) -> f32 + Sync + Send) -> Vec<f32> {
|
||||
let mut out = vec![outside; w * h];
|
||||
par_rows(&mut out, w, 1, |y, row| {
|
||||
let Some(yy) = y.checked_sub(win.y0).filter(|_| y < win.y1) else { return };
|
||||
for (s, strip) in strips.iter().enumerate() {
|
||||
let c0 = s * STRIP;
|
||||
let sw = STRIP.min(win.w().saturating_sub(c0));
|
||||
if let (Some(src), Some(dst)) = (strip.get(yy * sw..(yy + 1) * sw), row.get_mut(win.x0 + c0..win.x0 + c0 + sw)) {
|
||||
for (d, v) in dst.iter_mut().zip(src) {
|
||||
*d = f(*v);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
out
|
||||
}
|
||||
|
||||
/// Adds `k ×` window row `yy` (columns `c0..c0 + acc.len()`) into `acc`.
|
||||
fn add_row(acc: &mut [f64], rows: &Rows, yy: usize, c0: usize, k: f64) {
|
||||
if k == 0.0 {
|
||||
return;
|
||||
}
|
||||
if let Some(row) = rows.get(yy, c0, acc.len()) {
|
||||
for (a, v) in acc.iter_mut().zip(row) {
|
||||
*a += k * f64::from(*v);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ---- Smooth: box average, edges replicated -------------------------------------------------
|
||||
|
||||
/// Running-sum box average of one line (radius `r`, edges replicated) into `dst`.
|
||||
fn box_line(src: &[f32], dst: &mut [f32], r: usize) {
|
||||
let n = src.len().min(dst.len());
|
||||
let (Some(&first), Some(&last)) = (src.first(), src.get(n.wrapping_sub(1))) else { return };
|
||||
if r == 0 {
|
||||
dst[..n].copy_from_slice(&src[..n]);
|
||||
return;
|
||||
}
|
||||
let at = |i: i64| -> f64 { f64::from(src.get(i.clamp(0, n as i64 - 1) as usize).copied().unwrap_or(0.0)) };
|
||||
// Window at x = 0: r copies of the first sample, then src[0..=r], then copies of the last.
|
||||
let inside = r.min(n - 1);
|
||||
let mut acc = r as f64 * f64::from(first) + src[..=inside].iter().map(|v| f64::from(*v)).sum::<f64>() + (r - inside) as f64 * f64::from(last);
|
||||
let norm = 1.0 / (2 * r + 1) as f64;
|
||||
let ri = r as i64;
|
||||
for (x, d) in dst[..n].iter_mut().enumerate() {
|
||||
*d = (acc * norm) as f32;
|
||||
let x = x as i64;
|
||||
acc += at(x + ri + 1) - at(x - ri);
|
||||
}
|
||||
}
|
||||
|
||||
/// Select › Modify › Smooth: box average of radius `round(r)` (edges replicated), then the
|
||||
/// contrast curve `(v − ½)·4 + ½` that re-hardens the edge and drops specks.
|
||||
pub(crate) fn smooth(m: &[f32], w: usize, h: usize, r: f32) -> Vec<f32> {
|
||||
let curve = |v: f32| ((v - 0.5) * 4.0 + 0.5).clamp(0.0, 1.0);
|
||||
let n = w.saturating_mul(h);
|
||||
if m.len() != n || n == 0 {
|
||||
return m.iter().map(|v| curve(*v)).collect();
|
||||
}
|
||||
let r = if r.is_finite() {
|
||||
(r.max(0.0).round() as usize).min(MAX_BOX_R)
|
||||
} else if r > 0.0 {
|
||||
MAX_BOX_R
|
||||
} else {
|
||||
0
|
||||
};
|
||||
let Some(b) = nonzero_bounds(m, w, h) else {
|
||||
return vec![curve(0.0); n];
|
||||
};
|
||||
// Grown one past the radius, so a window edge inside the canvas sits on zeros and edge
|
||||
// replication there equals the zeros beyond it.
|
||||
let win = grow(b, r.saturating_add(1), w, h);
|
||||
let (gw, gh) = (win.w(), win.h());
|
||||
// Rows: only the bounding box's rows are non-zero.
|
||||
let mut tmp = vec![0.0f32; b.h() * gw];
|
||||
par_rows(&mut tmp, gw, 1, |y, row| {
|
||||
let o = (b.y0 + y) * w + win.x0;
|
||||
if let Some(s) = m.get(o..o + gw) {
|
||||
box_line(s, row, r);
|
||||
}
|
||||
});
|
||||
// Columns: a running sum of rows per strip of columns.
|
||||
let rows = Rows { tmp: &tmp, gw, bh: b.h(), off: b.y0 - win.y0, gh };
|
||||
let res = strips(gw, |c0, sw| box_strip(&rows, c0, sw, r));
|
||||
drop(tmp);
|
||||
assemble(&res, win, w, h, curve(0.0), curve)
|
||||
}
|
||||
|
||||
/// The vertical box pass over columns `c0..c0 + sw` (edges replicated).
|
||||
fn box_strip(rows: &Rows, c0: usize, sw: usize, r: usize) -> Vec<f32> {
|
||||
let gh = rows.gh;
|
||||
let mut out = vec![0.0f32; gh * sw];
|
||||
if gh == 0 || sw == 0 {
|
||||
return out;
|
||||
}
|
||||
let mut acc = vec![0.0f64; sw];
|
||||
// Window at row 0: r copies of row 0, rows 0..=r, then copies of the last row.
|
||||
let inside = r.min(gh - 1);
|
||||
add_row(&mut acc, rows, 0, c0, r as f64);
|
||||
for j in 0..=inside {
|
||||
add_row(&mut acc, rows, j, c0, 1.0);
|
||||
}
|
||||
add_row(&mut acc, rows, gh - 1, c0, (r - inside) as f64);
|
||||
let norm = 1.0 / (2 * r + 1) as f64;
|
||||
for (yy, dst) in out.chunks_exact_mut(sw).enumerate() {
|
||||
for (d, a) in dst.iter_mut().zip(&acc) {
|
||||
*d = (a * norm) as f32;
|
||||
}
|
||||
add_row(&mut acc, rows, (yy + r + 1).min(gh - 1), c0, 1.0);
|
||||
add_row(&mut acc, rows, yy.saturating_sub(r), c0, -1.0);
|
||||
}
|
||||
out
|
||||
}
|
||||
|
||||
// ---- Feather: truncated Gaussian, zero outside -----------------------------------------------
|
||||
|
||||
/// Sliding cosine-series form of a symmetric kernel over `-r..=r`.
|
||||
struct CosKernel {
|
||||
r: usize,
|
||||
a0: f64,
|
||||
a: [f64; TERMS],
|
||||
/// `e^{-iω}`: shifts the window by one sample.
|
||||
rot: [(f64, f64); TERMS],
|
||||
/// `e^{-iωr}` (leaving sample) and `e^{iωr}` (entering sample).
|
||||
out_w: [(f64, f64); TERMS],
|
||||
in_w: [(f64, f64); TERMS],
|
||||
/// `Σ_{|j|≤r} cos(ωj)`: a window full of ones.
|
||||
full: [f64; TERMS],
|
||||
omega: [f64; TERMS],
|
||||
}
|
||||
|
||||
enum Kernel {
|
||||
/// Taps for `-r..=r`.
|
||||
Direct(Vec<f32>),
|
||||
Cos(Box<CosKernel>),
|
||||
}
|
||||
|
||||
#[allow(clippy::needless_range_loop)] // textbook elimination reads clearer with indices
|
||||
/// Solves the small dense system `a·x = b` (partial pivoting); `None` when singular.
|
||||
fn solve(mut a: Vec<Vec<f64>>, mut b: Vec<f64>) -> Option<Vec<f64>> {
|
||||
let n = b.len();
|
||||
for c in 0..n {
|
||||
let p = (c..n).max_by(|i, j| a[*i][c].abs().total_cmp(&a[*j][c].abs()))?;
|
||||
if a[p][c].abs() < 1e-12 {
|
||||
return None;
|
||||
}
|
||||
a.swap(c, p);
|
||||
b.swap(c, p);
|
||||
for i in c + 1..n {
|
||||
let f = a[i][c] / a[c][c];
|
||||
for j in c..n {
|
||||
a[i][j] -= f * a[c][j];
|
||||
}
|
||||
b[i] -= f * b[c];
|
||||
}
|
||||
}
|
||||
let mut x = vec![0.0; n];
|
||||
for i in (0..n).rev() {
|
||||
let s: f64 = (i + 1..n).map(|j| a[i][j] * x[j]).sum();
|
||||
x[i] = (b[i] - s) / a[i][i];
|
||||
}
|
||||
x.iter().all(|v| v.is_finite()).then_some(x)
|
||||
}
|
||||
|
||||
impl Kernel {
|
||||
/// The feather kernel (σ, truncation radius `r`) as applied along lines of length `n`.
|
||||
fn new(sigma: f64, r: usize, n: usize) -> Kernel {
|
||||
// Normalized over the full truncated window, as the direct definition does.
|
||||
let g = |j: f64| (-(j * j) / (2.0 * sigma * sigma)).exp();
|
||||
let total: f64 = 1.0 + 2.0 * (1..=r).map(|j| g(j as f64)).sum::<f64>();
|
||||
// Only offsets inside the line matter.
|
||||
let jr = r.min(n.saturating_sub(1));
|
||||
if jr == 0 {
|
||||
// One-sample line: the centre tap alone.
|
||||
return Kernel::Direct(vec![(1.0 / total) as f32]);
|
||||
}
|
||||
let taps: Vec<f64> = (0..=jr).map(|j| g(j as f64) / total).collect();
|
||||
let direct = || Kernel::Direct((0..=2 * jr).map(|i| taps[i.abs_diff(jr)] as f32).collect());
|
||||
if jr <= DIRECT_MAX_R {
|
||||
return direct();
|
||||
}
|
||||
// Least squares over j = -jr..=jr (symmetric: weight 2 for j > 0).
|
||||
let l = (jr + 1) as f64;
|
||||
let omega: [f64; TERMS] = std::array::from_fn(|k| std::f64::consts::PI * (k + 1) as f64 / l);
|
||||
let basis = |q: usize, j: usize| if q == 0 { 1.0 } else { (omega[q - 1] * j as f64).cos() };
|
||||
let wt = |j: usize| if j == 0 { 1.0 } else { 2.0 };
|
||||
let mut a = vec![vec![0.0; TERMS + 1]; TERMS + 1];
|
||||
let mut b = vec![0.0; TERMS + 1];
|
||||
for (j, t) in taps.iter().enumerate() {
|
||||
let phi: Vec<f64> = (0..=TERMS).map(|q| basis(q, j)).collect();
|
||||
for p in 0..=TERMS {
|
||||
b[p] += wt(j) * phi[p] * t;
|
||||
for q in 0..=TERMS {
|
||||
a[p][q] += wt(j) * phi[p] * phi[q];
|
||||
}
|
||||
}
|
||||
}
|
||||
let Some(c) = solve(a, b) else { return direct() };
|
||||
// Error bound per pass: half the L1 distance between the series and the kernel.
|
||||
let err: f64 = taps.iter().enumerate().map(|(j, t)| wt(j) * ((0..=TERMS).map(|q| c[q] * basis(q, j)).sum::<f64>() - t).abs()).sum::<f64>() / 2.0;
|
||||
if !err.is_finite() || err > FIT_TOL {
|
||||
return direct();
|
||||
}
|
||||
let jf = jr as f64;
|
||||
let full: [f64; TERMS] = std::array::from_fn(|k| 1.0 + 2.0 * (1..=jr).map(|j| (omega[k] * j as f64).cos()).sum::<f64>());
|
||||
Kernel::Cos(Box::new(CosKernel {
|
||||
r: jr,
|
||||
a0: c[0],
|
||||
a: std::array::from_fn(|k| c[k + 1]),
|
||||
rot: std::array::from_fn(|k| (omega[k].cos(), -omega[k].sin())),
|
||||
out_w: std::array::from_fn(|k| ((omega[k] * jf).cos(), -(omega[k] * jf).sin())),
|
||||
in_w: std::array::from_fn(|k| ((omega[k] * jf).cos(), (omega[k] * jf).sin())),
|
||||
full,
|
||||
omega,
|
||||
}))
|
||||
}
|
||||
|
||||
/// Convolves one line (zero outside it) into `dst`.
|
||||
fn line(&self, src: &[f32], dst: &mut [f32], runs: &mut Vec<usize>) {
|
||||
let n = src.len().min(dst.len());
|
||||
match self {
|
||||
Kernel::Direct(taps) => {
|
||||
let r = taps.len() / 2;
|
||||
dst[..n].fill(0.0);
|
||||
for (i, k) in taps.iter().enumerate() {
|
||||
// Output x reads src[x + i - r].
|
||||
let (d0, s0) = if i >= r { (0, i - r) } else { (r - i, 0) };
|
||||
if d0 >= n || s0 >= n {
|
||||
continue;
|
||||
}
|
||||
let len = (n - d0).min(n - s0);
|
||||
for (d, s) in dst[d0..d0 + len].iter_mut().zip(&src[s0..s0 + len]) {
|
||||
*d += k * s;
|
||||
}
|
||||
}
|
||||
}
|
||||
Kernel::Cos(k) => k.line(&src[..n], &mut dst[..n], runs),
|
||||
}
|
||||
}
|
||||
|
||||
/// The vertical pass over columns `c0..c0 + sw` (zero outside the window).
|
||||
fn strip(&self, rows: &Rows, c0: usize, sw: usize) -> Vec<f32> {
|
||||
match self {
|
||||
Kernel::Direct(taps) => {
|
||||
let r = taps.len() / 2;
|
||||
let mut out = vec![0.0f32; rows.gh * sw];
|
||||
if sw == 0 {
|
||||
return out;
|
||||
}
|
||||
for (yy, dst) in out.chunks_exact_mut(sw).enumerate() {
|
||||
for (i, k) in taps.iter().enumerate() {
|
||||
let Some(src) = (yy + i).checked_sub(r).and_then(|y| rows.get(y, c0, sw)) else { continue };
|
||||
for (d, s) in dst.iter_mut().zip(src) {
|
||||
*d += k * s;
|
||||
}
|
||||
}
|
||||
}
|
||||
out
|
||||
}
|
||||
Kernel::Cos(k) => k.strip(rows, c0, sw),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl CosKernel {
|
||||
#[allow(clippy::needless_range_loop)] // `x` and `k` index several arrays in lockstep
|
||||
fn line(&self, src: &[f32], dst: &mut [f32], runs: &mut Vec<usize>) {
|
||||
let n = src.len();
|
||||
let r = self.r;
|
||||
// runs[i]: end (exclusive) of the constant run containing i.
|
||||
runs.clear();
|
||||
runs.resize(n, n);
|
||||
for i in (0..n.saturating_sub(1)).rev() {
|
||||
runs[i] = if src[i] == src[i + 1] { runs[i + 1] } else { i + 1 };
|
||||
}
|
||||
let at = |i: usize| f64::from(src.get(i).copied().unwrap_or(0.0));
|
||||
// Window sums for the last position handled (valid when `have`).
|
||||
let mut have = false;
|
||||
let mut sb = 0.0f64;
|
||||
let mut s = [(0.0f64, 0.0f64); TERMS];
|
||||
for x in 0..n {
|
||||
let lo = x.saturating_sub(r);
|
||||
let hi = (x + r + 1).min(n);
|
||||
let c = src[lo];
|
||||
if runs[lo] >= hi && (c == 0.0 || (x >= r && x + r < n)) {
|
||||
// The whole window is one value (zeros may run off the line; ones may not).
|
||||
dst[x] = c;
|
||||
let cf = f64::from(c);
|
||||
sb = cf * (2 * r + 1) as f64;
|
||||
for (sk, fk) in s.iter_mut().zip(&self.full) {
|
||||
*sk = (cf * fk, 0.0);
|
||||
}
|
||||
have = true;
|
||||
continue;
|
||||
}
|
||||
if have {
|
||||
// Slide from x - 1: drop src[x - 1 - r], take src[x + r].
|
||||
let gone = if x > r { at(x - 1 - r) } else { 0.0 };
|
||||
let come = at(x + r);
|
||||
sb += come - gone;
|
||||
for k in 0..TERMS {
|
||||
let (re, im) = (s[k].0 - gone * self.out_w[k].0, s[k].1 - gone * self.out_w[k].1);
|
||||
let (cr, ci) = self.rot[k];
|
||||
s[k] = (re * cr - im * ci + come * self.in_w[k].0, re * ci + im * cr + come * self.in_w[k].1);
|
||||
}
|
||||
} else {
|
||||
// Direct sums over the in-line part of the window.
|
||||
sb = 0.0;
|
||||
s = [(0.0, 0.0); TERMS];
|
||||
for (i, v) in src.iter().enumerate().take(hi).skip(lo) {
|
||||
let v = f64::from(*v);
|
||||
if v == 0.0 {
|
||||
continue;
|
||||
}
|
||||
let j = i as f64 - x as f64;
|
||||
sb += v;
|
||||
for (sk, w) in s.iter_mut().zip(&self.omega) {
|
||||
sk.0 += v * (w * j).cos();
|
||||
sk.1 += v * (w * j).sin();
|
||||
}
|
||||
}
|
||||
have = true;
|
||||
}
|
||||
let v = self.a0 * sb + s.iter().zip(&self.a).map(|(sk, a)| a * sk.0).sum::<f64>();
|
||||
dst[x] = v as f32;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl CosKernel {
|
||||
/// [`CosKernel::line`] down columns `c0..c0 + sw`, all columns of a row at once.
|
||||
#[allow(clippy::needless_range_loop)] // `k` indexes several term arrays in lockstep
|
||||
fn strip(&self, rows: &Rows, c0: usize, sw: usize) -> Vec<f32> {
|
||||
let gh = rows.gh;
|
||||
let r = self.r;
|
||||
let mut out = vec![0.0f32; gh * sw];
|
||||
if sw == 0 {
|
||||
return out;
|
||||
}
|
||||
// Rows whose strip segment is one value, and the runs of equal such rows.
|
||||
let flag: Vec<Option<f32>> = (0..gh)
|
||||
.map(|yy| match rows.get(yy, c0, sw) {
|
||||
None => Some(0.0),
|
||||
Some(s) => {
|
||||
let c = s.first().copied().unwrap_or(0.0);
|
||||
s.iter().all(|v| *v == c).then_some(c)
|
||||
}
|
||||
})
|
||||
.collect();
|
||||
let mut runs = vec![gh; gh];
|
||||
for i in (0..gh.saturating_sub(1)).rev() {
|
||||
runs[i] = match (flag[i], flag[i + 1]) {
|
||||
(Some(a), Some(b)) if a == b => runs[i + 1],
|
||||
_ => i + 1,
|
||||
};
|
||||
}
|
||||
let zeros = vec![0.0f32; sw];
|
||||
let mut sb = vec![0.0f64; sw];
|
||||
let mut re = vec![vec![0.0f64; sw]; TERMS];
|
||||
let mut im = vec![vec![0.0f64; sw]; TERMS];
|
||||
let mut acc = vec![0.0f64; sw];
|
||||
let mut have = false;
|
||||
for (yy, dst) in out.chunks_exact_mut(sw).enumerate() {
|
||||
let lo = yy.saturating_sub(r);
|
||||
let hi = (yy + r + 1).min(gh);
|
||||
// The whole window is one value (zero rows may run off the window; others may not).
|
||||
if let Some(c) = flag[lo]
|
||||
&& runs[lo] >= hi
|
||||
&& (c == 0.0 || (yy >= r && yy + r < gh))
|
||||
{
|
||||
dst.fill(c);
|
||||
let cf = f64::from(c);
|
||||
sb.fill(cf * (2 * r + 1) as f64);
|
||||
for k in 0..TERMS {
|
||||
re[k].fill(cf * self.full[k]);
|
||||
im[k].fill(0.0);
|
||||
}
|
||||
have = true;
|
||||
continue;
|
||||
}
|
||||
if have {
|
||||
// Slide from yy - 1: drop row yy - 1 - r, take row yy + r.
|
||||
let gone = if yy > r { rows.get(yy - 1 - r, c0, sw) } else { None }.unwrap_or(&zeros);
|
||||
let come = rows.get(yy + r, c0, sw).unwrap_or(&zeros);
|
||||
for ((s, g), c) in sb.iter_mut().zip(gone).zip(come) {
|
||||
*s += f64::from(*c) - f64::from(*g);
|
||||
}
|
||||
for k in 0..TERMS {
|
||||
let (cr, ci) = self.rot[k];
|
||||
let (o0, o1) = self.out_w[k];
|
||||
let (i0, i1) = self.in_w[k];
|
||||
for (((sr, si), g), c) in re[k].iter_mut().zip(im[k].iter_mut()).zip(gone).zip(come) {
|
||||
let (g, c) = (f64::from(*g), f64::from(*c));
|
||||
let (a, b) = (*sr - g * o0, *si - g * o1);
|
||||
*sr = a * cr - b * ci + c * i0;
|
||||
*si = a * ci + b * cr + c * i1;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
// Direct sums over the in-window rows.
|
||||
sb.fill(0.0);
|
||||
for k in 0..TERMS {
|
||||
re[k].fill(0.0);
|
||||
im[k].fill(0.0);
|
||||
}
|
||||
for i in lo..hi {
|
||||
let Some(row) = rows.get(i, c0, sw) else { continue };
|
||||
let j = i as f64 - yy as f64;
|
||||
add_row(&mut sb, rows, i, c0, 1.0);
|
||||
for k in 0..TERMS {
|
||||
let (cs, sn) = ((self.omega[k] * j).cos(), (self.omega[k] * j).sin());
|
||||
for ((sr, si), v) in re[k].iter_mut().zip(im[k].iter_mut()).zip(row) {
|
||||
*sr += f64::from(*v) * cs;
|
||||
*si += f64::from(*v) * sn;
|
||||
}
|
||||
}
|
||||
}
|
||||
have = true;
|
||||
}
|
||||
for (a, s) in acc.iter_mut().zip(&sb) {
|
||||
*a = self.a0 * s;
|
||||
}
|
||||
for k in 0..TERMS {
|
||||
for (a, s) in acc.iter_mut().zip(&re[k]) {
|
||||
*a += self.a[k] * s;
|
||||
}
|
||||
}
|
||||
for (d, a) in dst.iter_mut().zip(&acc) {
|
||||
*d = *a as f32;
|
||||
}
|
||||
}
|
||||
out
|
||||
}
|
||||
}
|
||||
|
||||
/// Select › Modify › Feather: Gaussian blur of the mask with `σ = radius / 2`, the kernel
|
||||
/// truncated at `⌈3σ⌉` and normalized, zero beyond the canvas.
|
||||
pub(crate) fn feather(m: &[f32], w: usize, h: usize, radius: f32) -> Vec<f32> {
|
||||
let n = w.saturating_mul(h);
|
||||
let sigma = if radius.is_finite() {
|
||||
radius.max(0.0) / 2.0
|
||||
} else if radius > 0.0 {
|
||||
MAX_SIGMA
|
||||
} else {
|
||||
0.0
|
||||
};
|
||||
if sigma < 0.1 || m.len() != n || n == 0 {
|
||||
return m.to_vec();
|
||||
}
|
||||
let sigma = sigma.min(MAX_SIGMA);
|
||||
let r = (sigma * 3.0).ceil() as usize;
|
||||
let Some(b) = nonzero_bounds(m, w, h) else {
|
||||
return m.to_vec();
|
||||
};
|
||||
let win = grow(b, r, w, h);
|
||||
let (gw, gh) = (win.w(), win.h());
|
||||
let s = f64::from(sigma);
|
||||
let (kh, kv) = (Kernel::new(s, r, gw), Kernel::new(s, r, gh));
|
||||
// Rows: only the bounding box's rows are non-zero.
|
||||
let mut tmp = vec![0.0f32; b.h() * gw];
|
||||
par_rows(&mut tmp, gw, 1, |y, row| {
|
||||
let o = (b.y0 + y) * w + win.x0;
|
||||
if let Some(s) = m.get(o..o + gw) {
|
||||
kh.line(s, row, &mut Vec::new());
|
||||
}
|
||||
});
|
||||
// Columns, a strip of columns at a time.
|
||||
let rows = Rows { tmp: &tmp, gw, bh: b.h(), off: b.y0 - win.y0, gh };
|
||||
let res = strips(gw, |c0, sw| kv.strip(&rows, c0, sw));
|
||||
drop(tmp);
|
||||
// Rounding residue of the sliding sums is not coverage.
|
||||
assemble(&res, win, w, h, 0.0, |v| if v.abs() < 1e-7 { 0.0 } else { v })
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::photo_util::Rng;
|
||||
|
||||
/// The previous direct implementations, kept as the oracle.
|
||||
mod oracle {
|
||||
pub fn box_blur(m: &[f32], w: usize, h: usize, r: usize) -> Vec<f32> {
|
||||
if r == 0 {
|
||||
return m.to_vec();
|
||||
}
|
||||
let mut tmp = vec![0.0f32; m.len()];
|
||||
let win = (2 * r + 1) as f32;
|
||||
for y in 0..h {
|
||||
for x in 0..w {
|
||||
let mut s = 0.0;
|
||||
for k in x as i64 - r as i64..=x as i64 + r as i64 {
|
||||
s += m[y * w + k.clamp(0, w as i64 - 1) as usize];
|
||||
}
|
||||
tmp[y * w + x] = s / win;
|
||||
}
|
||||
}
|
||||
let mut out = vec![0.0f32; m.len()];
|
||||
for y in 0..h {
|
||||
for x in 0..w {
|
||||
let mut s = 0.0;
|
||||
for k in y as i64 - r as i64..=y as i64 + r as i64 {
|
||||
s += tmp[k.clamp(0, h as i64 - 1) as usize * w + x];
|
||||
}
|
||||
out[y * w + x] = s / win;
|
||||
}
|
||||
}
|
||||
out
|
||||
}
|
||||
|
||||
pub fn smooth(m: &[f32], w: usize, h: usize, r: f32) -> Vec<f32> {
|
||||
box_blur(m, w, h, r.max(0.0).round() as usize).into_iter().map(|v| ((v - 0.5) * 4.0 + 0.5).clamp(0.0, 1.0)).collect()
|
||||
}
|
||||
|
||||
pub fn feather(m: &[f32], w: usize, h: usize, radius: f32) -> Vec<f32> {
|
||||
let sigma = radius.max(0.0) / 2.0;
|
||||
if sigma < 0.1 {
|
||||
return m.to_vec();
|
||||
}
|
||||
let r = (sigma * 3.0).ceil() as i64;
|
||||
let k: Vec<f32> = (-r..=r).map(|i| (-(i * i) as f32 / (2.0 * sigma * sigma)).exp()).collect();
|
||||
let s: f32 = k.iter().sum();
|
||||
let k: Vec<f32> = k.iter().map(|v| v / s).collect();
|
||||
let mut tmp = vec![0.0f32; m.len()];
|
||||
for y in 0..h {
|
||||
for x in 0..w {
|
||||
let mut a = 0.0;
|
||||
for (i, kv) in k.iter().enumerate() {
|
||||
let xx = x as i64 + i as i64 - r;
|
||||
if xx >= 0 && xx < w as i64 {
|
||||
a += m[y * w + xx as usize] * kv;
|
||||
}
|
||||
}
|
||||
tmp[y * w + x] = a;
|
||||
}
|
||||
}
|
||||
let mut out = vec![0.0f32; m.len()];
|
||||
for y in 0..h {
|
||||
for x in 0..w {
|
||||
let mut a = 0.0;
|
||||
for (i, kv) in k.iter().enumerate() {
|
||||
let yy = y as i64 + i as i64 - r;
|
||||
if yy >= 0 && yy < h as i64 {
|
||||
a += tmp[yy as usize * w + x] * kv;
|
||||
}
|
||||
}
|
||||
out[y * w + x] = a;
|
||||
}
|
||||
}
|
||||
out
|
||||
}
|
||||
}
|
||||
|
||||
fn max_diff(a: &[f32], b: &[f32]) -> f32 {
|
||||
assert_eq!(a.len(), b.len());
|
||||
a.iter().zip(b).map(|(x, y)| (x - y).abs()).fold(0.0, f32::max)
|
||||
}
|
||||
|
||||
/// Random masks of several kinds: binary noise, soft noise, blobs with soft edges, a sparse
|
||||
/// scatter and an off-centre rectangle.
|
||||
fn masks(w: usize, h: usize, seed: u64) -> Vec<(&'static str, Vec<f32>)> {
|
||||
let mut rng = Rng(seed);
|
||||
let mut u = move || (rng.next() >> 11) as f32 / (1u64 << 53) as f32;
|
||||
let binary: Vec<f32> = (0..w * h).map(|_| if u() < 0.5 { 1.0 } else { 0.0 }).collect();
|
||||
let soft: Vec<f32> = (0..w * h).map(|_| u()).collect();
|
||||
let (cx, cy, rad) = (w as f32 * u(), h as f32 * u(), (w.min(h) as f32 * 0.4).max(1.0));
|
||||
let blob: Vec<f32> = (0..w * h)
|
||||
.map(|i| {
|
||||
let (x, y) = ((i % w) as f32 + 0.5, (i / w) as f32 + 0.5);
|
||||
(rad - ((x - cx).powi(2) + (y - cy).powi(2)).sqrt()).clamp(0.0, 1.0)
|
||||
})
|
||||
.collect();
|
||||
let sparse: Vec<f32> = (0..w * h).map(|_| if u() < 0.02 { 1.0 } else { 0.0 }).collect();
|
||||
let rect: Vec<f32> = (0..w * h).map(|i| if (i % w) * 3 >= w && (i / w) * 4 < h * 3 { 1.0 } else { 0.0 }).collect();
|
||||
vec![("binary", binary), ("soft", soft), ("blob", blob), ("sparse", sparse), ("rect", rect)]
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn feather_matches_direct_gaussian() {
|
||||
for (w, h, seed) in [(97, 61, 1), (40, 150, 2), (13, 7, 3)] {
|
||||
for (kind, m) in masks(w, h, seed) {
|
||||
for radius in [0.1, 0.3, 1.0, 2.5, 8.0, 9.0, 17.0, 25.0, 50.0, 120.0, 1000.0] {
|
||||
let d = max_diff(&feather(&m, w, h, radius), &oracle::feather(&m, w, h, radius));
|
||||
assert!(d <= 1.0 / 255.0, "{kind} {w}x{h} r {radius}: {d}");
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn smooth_matches_direct_box() {
|
||||
for (w, h, seed) in [(97, 61, 4), (40, 150, 5), (13, 7, 6)] {
|
||||
for (kind, m) in masks(w, h, seed) {
|
||||
for radius in [0.0, 0.4, 1.0, 2.0, 5.0, 16.0, 50.0, 500.0] {
|
||||
let d = max_diff(&smooth(&m, w, h, radius), &oracle::smooth(&m, w, h, radius));
|
||||
assert!(d <= 1.0 / 255.0, "{kind} {w}x{h} r {radius}: {d}");
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn edge_cases() {
|
||||
// Empty selection stays empty; nothing selected far from a selection stays exactly 0.
|
||||
let z = vec![0.0; 50 * 40];
|
||||
assert_eq!(feather(&z, 50, 40, 30.0), z);
|
||||
assert_eq!(smooth(&z, 50, 40, 10.0), z);
|
||||
let mut dot = z.clone();
|
||||
dot[20 * 50 + 25] = 1.0;
|
||||
let f = feather(&dot, 50, 40, 4.0);
|
||||
assert_eq!(f[0], 0.0);
|
||||
assert!(f[20 * 50 + 25] > 0.0);
|
||||
// A full canvas: smooth keeps it; feather fades only at the canvas edge, as before.
|
||||
let one = vec![1.0; 50 * 40];
|
||||
assert_eq!(smooth(&one, 50, 40, 25.0), one);
|
||||
let f = feather(&one, 50, 40, 6.0);
|
||||
assert!((f[20 * 50 + 25] - 1.0).abs() < 1e-5);
|
||||
let f30 = feather(&one, 50, 40, 30.0);
|
||||
assert!(max_diff(&f30, &oracle::feather(&one, 50, 40, 30.0)) <= 1.0 / 255.0);
|
||||
assert!(f[0] < 0.5);
|
||||
assert!(max_diff(&f, &oracle::feather(&one, 50, 40, 6.0)) <= 1.0 / 255.0);
|
||||
// Radius 0 is identity (feather) / the bare contrast curve (smooth).
|
||||
let m: Vec<f32> = (0..50 * 40).map(|i| (i % 7) as f32 / 6.0).collect();
|
||||
assert_eq!(feather(&m, 50, 40, 0.0), m);
|
||||
assert_eq!(smooth(&m, 50, 40, 0.0), oracle::smooth(&m, 50, 40, 0.0));
|
||||
// 1×1 canvas and empty canvases.
|
||||
for r in [0.0, 1.0, 50.0, 1000.0] {
|
||||
assert!((feather(&[1.0], 1, 1, r)[0] - oracle::feather(&[1.0], 1, 1, r)[0]).abs() <= 1.0 / 255.0);
|
||||
assert_eq!(smooth(&[1.0], 1, 1, r), vec![1.0]);
|
||||
}
|
||||
assert!(feather(&[], 0, 0, 5.0).is_empty());
|
||||
assert!(smooth(&[], 0, 5, 5.0).is_empty());
|
||||
// Non-finite or absurd radii and a mismatched buffer return without panicking.
|
||||
for r in [f32::NAN, f32::INFINITY, f32::NEG_INFINITY, -5.0, 1e30] {
|
||||
let f = feather(&dot, 50, 40, r);
|
||||
assert_eq!(f.len(), dot.len());
|
||||
assert!(f.iter().all(|v| v.is_finite()), "{r}");
|
||||
let s = smooth(&dot, 50, 40, r);
|
||||
assert_eq!(s.len(), dot.len());
|
||||
}
|
||||
assert_eq!(feather(&dot, 50, 41, 5.0).len(), dot.len());
|
||||
assert_eq!(smooth(&dot, 49, 40, 5.0).len(), dot.len());
|
||||
}
|
||||
|
||||
/// Timings on a 24 MP ellipse (run with `--release -- --ignored --nocapture`).
|
||||
#[test]
|
||||
#[ignore]
|
||||
fn bench_24mp() {
|
||||
let (w, h) = (6000usize, 4000usize);
|
||||
let m: Vec<f32> = (0..w * h)
|
||||
.map(|i| {
|
||||
let (x, y) = ((i % w) as f32 / w as f32 - 0.5, (i / w) as f32 / h as f32 - 0.5);
|
||||
if x * x + y * y < 0.11 { 1.0 } else { 0.0 }
|
||||
})
|
||||
.collect();
|
||||
// `SEL_BENCH=feather:250` runs one case (e.g. under `time` for its CPU cost).
|
||||
let only = std::env::var("SEL_BENCH").ok();
|
||||
for (name, r) in [("smooth", 50.0), ("feather", 50.0), ("feather", 250.0), ("feather", 1000.0)] {
|
||||
if only.as_ref().is_some_and(|o| *o != format!("{name}:{r}")) {
|
||||
continue;
|
||||
}
|
||||
let mut best = f64::MAX;
|
||||
for _ in 0..5 {
|
||||
let t = std::time::Instant::now();
|
||||
let out = if name == "smooth" { smooth(&m, w, h, r) } else { feather(&m, w, h, r) };
|
||||
best = best.min(t.elapsed().as_secs_f64() * 1000.0);
|
||||
assert_eq!(out.len(), m.len());
|
||||
}
|
||||
eprintln!("{name} r {r}: {best:.1} ms (best of 5)");
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cosine_fit_is_used_and_accurate() {
|
||||
for sigma in [7.0, 25.0, 125.0] {
|
||||
let r = (sigma * 3.0f64).ceil() as usize;
|
||||
match Kernel::new(sigma, r, 4000) {
|
||||
Kernel::Cos(_) => {}
|
||||
_ => panic!("σ {sigma}: expected the sliding cosine kernel"),
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -224,7 +224,17 @@ fn color_range(s: &mut Session, p: &Value) -> Result<Value> {
|
||||
}
|
||||
|
||||
fn modify(s: &mut Session, p: &Value, op: &str) -> Result<Value> {
|
||||
let r = f(p, "radius", 1.0).max(0.0);
|
||||
// The dialogs' ranges (Photoshop's limits); anything else is refused, never clamped silently.
|
||||
let max = match op {
|
||||
"border" => 200.0,
|
||||
"feather" => 1000.0,
|
||||
_ => 500.0,
|
||||
};
|
||||
let r = f(p, "radius", 1.0);
|
||||
if !r.is_finite() || r > max {
|
||||
return Err(EngineError::BadParams { cmd: format!("select.modify.{op}"), msg: format!("radius must be a number in 0..{max}") });
|
||||
}
|
||||
let r = r.max(0.0);
|
||||
let (area, m) = current_mask(&s.active().ok_or(EngineError::NoDocument)?.doc);
|
||||
let (w, h) = (area.width() as usize, area.height() as usize);
|
||||
let out = match op {
|
||||
@@ -512,6 +522,13 @@ mod tests {
|
||||
s.execute("select.modify.smooth", json!({"radius": 2})).unwrap();
|
||||
assert!(s.active().unwrap().doc.selection.is_some());
|
||||
assert!(!s.is_enabled("select.nothing"));
|
||||
// Out-of-range or non-finite radii are refused and leave the selection alone.
|
||||
for op in ["feather", "smooth", "expand", "contract", "border"] {
|
||||
for r in [json!(1e300), json!(5000), json!(f64::MAX)] {
|
||||
assert!(s.execute(&format!("select.modify.{op}"), json!({"radius": r})).is_err(), "{op} {r}");
|
||||
}
|
||||
}
|
||||
assert!(s.active().unwrap().doc.selection.is_some());
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
+2
-2
@@ -44,8 +44,8 @@ Baseline: 2026-10-05, commit `f5d2bcb54a`, Apple M4 Pro (48 GB), GPU Apple M4 Pr
|
||||
| P19 | Open a 20 MP layered PSD: editable | ≤ 3000 ms p95 | 1753 | 2794 | 2794 | 2.2 GB | 1.9 GB | pass | [#210](https://github.com/storytold/photocraft/issues/210) |
|
||||
| P21 | Content-Aware Fill on 10 MP | ≤ 1500 ms p95 | 218 | 256 | 256 | 1.8 GB | 1.8 GB | pass | [#210](https://github.com/storytold/photocraft/issues/210) |
|
||||
| P22 | Spot Healing stroke on 10 MP | ≤ 500 ms p95 | 157 | 247 | 247 | 1.8 GB | 1.9 GB | pass | [#210](https://github.com/storytold/photocraft/issues/210) |
|
||||
| P26 | Select › Modify › Smooth on 24 MP (radius 50) | ≤ 100 ms p95 | 19296 | 22051 | 22051 | 1.9 GB | – | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
| P27 | Select › Modify › Feather on 24 MP (radius 50) | ≤ 100 ms p95 | 42668 | 52100 | 52100 | 650 MB | – | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
| P26 | Select › Modify › Smooth on 24 MP (radius 50) | ≤ 100 ms p95 | 99.9 | 216 | 251 | 1.0 GB | – | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
| P27 | Select › Modify › Feather on 24 MP (radius 50) | ≤ 100 ms p95 | 122 | 357 | 360 | 1.1 GB | – | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
| P28 | Content-Aware Scale 24 MP (to 90 % width) | ≤ 3000 ms p95 | 954192 | 954192 | 954192 | 2.1 GB | – | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
| P29 | Select Subject on 24 MP, repeated | ≤ 100 ms p95 | 559 | 693 | 693 | 1.4 GB | – | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
| P33 | Brush dab on A4 300 ppi CMYK (dab to screen) | ≤ 6 ms p95 | 34.7 | 235 | 235 | 775 MB | 87 MB | over budget (target not met yet) | [#211](https://github.com/storytold/photocraft/issues/211) |
|
||||
|
||||
+10
-10
@@ -123,19 +123,19 @@
|
||||
},
|
||||
"P26": {
|
||||
"gpu_bytes": 0,
|
||||
"max_ms": 22050.895333,
|
||||
"n": 5,
|
||||
"p50_ms": 19295.759749999997,
|
||||
"p95_ms": 22050.895333,
|
||||
"peak_rss_bytes": 1998864384
|
||||
"max_ms": 250.6,
|
||||
"n": 20,
|
||||
"p50_ms": 99.9,
|
||||
"p95_ms": 215.7,
|
||||
"peak_rss_bytes": 1118240768
|
||||
},
|
||||
"P27": {
|
||||
"gpu_bytes": 0,
|
||||
"max_ms": 52099.803917000005,
|
||||
"n": 5,
|
||||
"p50_ms": 42667.745542,
|
||||
"p95_ms": 52099.803917000005,
|
||||
"peak_rss_bytes": 682262528
|
||||
"max_ms": 360.0,
|
||||
"n": 20,
|
||||
"p50_ms": 121.9,
|
||||
"p95_ms": 356.7,
|
||||
"peak_rss_bytes": 1166065664
|
||||
},
|
||||
"P28": {
|
||||
"gpu_bytes": 0,
|
||||
|
||||
+2
-2
@@ -281,7 +281,7 @@ issue = 211
|
||||
bench = "perf_scenarios"
|
||||
row = "Select > Modify > Smooth r 50 on 24 MP"
|
||||
budget_ms = 100
|
||||
enforce = false # over budget in the 2026-10-05 baseline
|
||||
enforce = false # #211: fastest samples 30-33 ms; p95 still over budget at load avg > 100
|
||||
|
||||
[[scenario]]
|
||||
id = "P27"
|
||||
@@ -290,7 +290,7 @@ issue = 211
|
||||
bench = "perf_scenarios"
|
||||
row = "Select > Modify > Feather r 50 on 24 MP"
|
||||
budget_ms = 100
|
||||
enforce = false # over budget in the 2026-10-05 baseline
|
||||
enforce = false # #211: fastest samples 30-33 ms; p95 still over budget at load avg > 100
|
||||
|
||||
[[scenario]]
|
||||
id = "P28"
|
||||
|
||||
Reference in new issue
Block a user