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//! Analysis always uses source pixels, never the scaled preview.
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use std::collections::HashMap;
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use crate::capture::Frame;
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pub const HUE_BINS: usize = 36;
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pub const NEUTRAL_SATURATION: f32 = 0.05;
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#[derive(Clone, Copy, Debug, PartialEq, Eq)]
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pub struct Region {
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pub x: u32,
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pub y: u32,
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pub width: u32,
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pub height: u32,
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}
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impl Region {
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pub fn full(frame: &Frame) -> Self {
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Self {
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x: 0,
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y: 0,
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width: frame.width,
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height: frame.height,
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}
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}
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pub fn crop(self, frame: &Frame) -> Vec<u8> {
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let mut pixels = Vec::new();
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for y in self.y..self.y.saturating_add(self.height).min(frame.height) {
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let start =
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((y as usize * frame.width as usize) + self.x.min(frame.width) as usize) * 4;
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let end = ((y as usize * frame.width as usize)
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+ self.x.saturating_add(self.width).min(frame.width) as usize)
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* 4;
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pixels.extend_from_slice(&frame.rgba[start..end]);
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}
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pixels
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}
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}
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#[derive(Clone, Debug)]
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pub struct Swatch {
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pub rgb: [u8; 3],
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pub count: u64,
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}
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pub struct Analysis {
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pub palette: Vec<Swatch>,
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pub pixels: u64,
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pub neutral_pixels: u64,
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pub neutral_colors: u64,
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pub hue_pixels: [u64; HUE_BINS],
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pub hue_colors: [u64; HUE_BINS],
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}
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impl Default for Analysis {
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fn default() -> Self {
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Self {
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palette: Vec::new(),
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pixels: 0,
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neutral_pixels: 0,
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neutral_colors: 0,
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hue_pixels: [0; HUE_BINS],
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hue_colors: [0; HUE_BINS],
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}
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}
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}
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/// HSV hue in degrees, saturation and value in 0..=1.
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pub fn hsv(rgb: [u8; 3]) -> [f32; 3] {
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let [r, g, b] = rgb.map(|v| v as f32 / 255.0);
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let max = r.max(g).max(b);
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let min = r.min(g).min(b);
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let delta = max - min;
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if delta == 0.0 {
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return [0.0, 0.0, max];
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}
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let hue = if max == r {
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((g - b) / delta).rem_euclid(6.0)
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} else if max == g {
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(b - r) / delta + 2.0
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} else {
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(r - g) / delta + 4.0
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};
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[hue * 60.0, delta / max, max]
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}
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pub fn analyze(rgba: &[u8]) -> Analysis {
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let mut counts = HashMap::<[u8; 3], u64>::new();
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for pixel in rgba.as_chunks::<4>().0 {
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// Ignore fully transparent pixels; count other captured RGB values exactly.
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if pixel[3] != 0 {
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*counts.entry([pixel[0], pixel[1], pixel[2]]).or_default() += 1;
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}
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}
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let mut result = Analysis::default();
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for (rgb, count) in counts {
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result.pixels += count;
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let [h, s, _] = hsv(rgb);
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if s < NEUTRAL_SATURATION {
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result.neutral_pixels += count;
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result.neutral_colors += 1;
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} else {
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let bin = (h / 10.0).floor() as usize % HUE_BINS;
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result.hue_pixels[bin] += count;
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result.hue_colors[bin] += 1;
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}
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result.palette.push(Swatch { rgb, count });
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}
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result
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.palette
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.sort_unstable_by(|a, b| b.count.cmp(&a.count).then(a.rgb.cmp(&b.rgb)));
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result
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn primary_hues_and_wraparound() {
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assert_eq!(hsv([255, 0, 0]), [0.0, 1.0, 1.0]);
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assert_eq!(hsv([0, 255, 0])[0], 120.0);
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assert_eq!(hsv([0, 0, 255])[0], 240.0);
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assert!(hsv([255, 0, 1])[0] > 359.0);
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assert_eq!(hsv([0, 0, 0]), [0.0, 0.0, 0.0]);
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}
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#[test]
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fn frequency_distinct_weights_neutrals_and_transparency() {
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let data = [
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255, 0, 0, 255, 255, 0, 0, 255, 128, 0, 0, 255, 0, 255, 0, 255, 128, 128, 128, 255,
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255, 0, 255, 0,
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];
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let a = analyze(&data);
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assert_eq!(a.pixels, 5);
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assert_eq!(a.palette.len(), 4);
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assert_eq!(a.palette[0].rgb, [255, 0, 0]);
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assert_eq!(a.hue_pixels[0], 3);
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assert_eq!(a.hue_colors[0], 2);
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assert_eq!(a.neutral_pixels, 1);
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assert_eq!(
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a.hue_pixels.iter().sum::<u64>() + a.neutral_pixels,
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a.pixels
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);
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}
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#[test]
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fn crop_uses_source_coordinates_and_clamps() {
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let frame = Frame {
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seq: 0,
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width: 3,
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height: 2,
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rgba: (0..24).collect(),
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};
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let r = Region {
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x: 1,
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y: 0,
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width: 1,
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height: 2,
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};
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assert_eq!(r.crop(&frame), [4, 5, 6, 7, 16, 17, 18, 19]);
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let edge = Region {
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x: 2,
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y: 1,
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width: 10,
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height: 10,
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};
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assert_eq!(edge.crop(&frame), [20, 21, 22, 23]);
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}
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}
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