refactor: code organisation

This commit is contained in:
2026-06-25 16:06:35 +02:00
parent e3895898ae
commit 9286255662
2 changed files with 118 additions and 80 deletions

106
src/colours.rs Normal file
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@@ -0,0 +1,106 @@
use std::collections::{HashMap, HashSet};
use image::{DynamicImage, GenericImageView, Rgb};
use log::info;
use std::fmt::Debug;
use crate::encode_hex;
pub type ColourMap = HashMap<u8, HashMap<u8, HashMap<u8, Vec<Point>>>>;
pub type Colour = Rgb<u8>;
#[derive(Clone)]
pub struct Point {
x: u32,
y: u32,
}
impl Debug for Point {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.write_str(&format!("{}, {}", &self.x, &self.y))
}
}
pub struct Match {
pub colour: Colour,
pub positions: Vec<Point>,
}
pub fn extract_colours(img: DynamicImage) -> ColourMap {
let mut out: ColourMap = HashMap::new();
for (x, y, p) in img.pixels() {
out.entry(p[0])
.or_insert_with(HashMap::new)
.entry(p[1])
.or_insert_with(HashMap::new)
.entry(p[2])
.or_insert_with(Vec::new)
.push(Point { x, y });
}
out
}
fn extract_colours_set(img: DynamicImage) -> HashSet<Rgb<u8>> {
let mut out = HashSet::new();
img.pixels().for_each(|(_x, _y, p)| {
out.insert(p);
});
out.into_iter().map(|c| Rgb([c[0], c[1], c[2]])).collect()
}
fn closest_colour(colour: &Colour, all: &ColourMap) -> Option<Match> {
// use redmean to calculate the distance between colours
let mut closest: Option<Match> = None;
let mut dist: f32 = f32::MAX;
let (colour_r, colour_g, colour_b) = (colour[0] as f32, colour[1] as f32, colour[2] as f32);
for (r, gbs) in all.iter() {
let r_bar = 0.5 * (*r as f32 + colour_r);
let r_squared = (*r as f32 - colour_r) * (*r as f32 - colour_r);
for (g, bs) in gbs.iter() {
let g_squared = (*g as f32 - colour_g) * (*g as f32 - colour_g);
for (b, vec) in bs.iter() {
let b_squared = (*b as f32 - colour_b) * (*b as f32 - colour_b);
let delta = (2.0 + r_bar / 256.0) * r_squared
+ 4.0 * g_squared
+ (2.0 + (255.0 - r_bar) / 256.0) * b_squared;
if delta < dist {
dist = delta;
closest = Some(Match {
colour: Rgb([*r, *g, *b]),
positions: vec.to_vec(), // FIXME (low priority): would be more efficient if
// i can make these a borrow instead, but that
// leads to lifetime issues
});
}
}
}
}
return closest;
}
pub fn map_image_list(all_cols: &ColourMap, cols: Vec<Colour>) -> HashMap<Colour, Match> {
let mut output_cols: HashMap<Colour, Match> = HashMap::new();
for c in cols {
info!("Matching colour {}", encode_hex(&c));
if let Some(col) = closest_colour(&c, &all_cols) {
output_cols.insert(c, col);
}
}
output_cols
}
pub fn map_image_image(img_1_cols: &ColourMap, img_2: DynamicImage) -> HashMap<Colour, Match> {
let img_2_cols = extract_colours_set(img_2);
let mut output_cols: HashMap<Colour, Match> = HashMap::new();
img_2_cols.iter().for_each(|c| {
info!("Matching colour {}", encode_hex(&c));
if let Some(col) = closest_colour(c, &img_1_cols) {
output_cols.insert(*c, col);
}
});
output_cols
}

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@@ -1,95 +1,27 @@
mod cli;
mod colours;
use clap::Parser;
use std::collections::{HashMap, HashSet};
use std::collections::HashMap;
use dotenv::dotenv;
use image::{DynamicImage, GenericImageView, Rgb};
use crate::cli::Cli;
// TODO (medium priority): replace hashset with another hashmap<u8, Vec<(u32, u32)>>;
// that way we can track pixel locations for colours.
type ColourSet = HashMap<u8, HashMap<u8, HashSet<u8>>>;
type Colour = Rgb<u8>;
fn extract_colours(img: DynamicImage) -> ColourSet {
let mut out: ColourSet = HashMap::new();
for (_x, _y, p) in img.pixels() {
out.entry(p[0])
.or_insert_with(HashMap::new)
.entry(p[1])
.or_insert_with(HashSet::new)
.insert(p[2]);
}
out
}
fn extract_colours_set(img: DynamicImage) -> HashSet<Rgb<u8>> {
let mut out = HashSet::new();
img.pixels().for_each(|(_x, _y, p)| {
out.insert(p);
});
out.into_iter().map(|c| Rgb([c[0], c[1], c[2]])).collect()
}
fn closest_colour(colour: &Colour, all: &ColourSet) -> Option<Colour> {
// use redmean to calculate the distance between colours
let mut closest: Option<Colour> = None;
let mut dist: f32 = f32::MAX;
let (colour_r, colour_g, colour_b) = (colour[0] as f32, colour[1] as f32, colour[2] as f32);
for (r, gbs) in all.iter() {
let r_bar = 0.5 * (*r as f32 + colour_r);
let r_squared = (*r as f32 - colour_r) * (*r as f32 - colour_r);
for (g, bs) in gbs.iter() {
let g_squared = (*g as f32 - colour_g) * (*g as f32 - colour_g);
for b in bs {
let b_squared = (*b as f32 - colour_b) * (*b as f32 - colour_b);
let delta = (2.0 + r_bar / 256.0) * r_squared
+ 4.0 * g_squared
+ (2.0 + (255.0 - r_bar) / 256.0) * b_squared;
if delta < dist {
dist = delta;
closest = Some(Rgb([*r, *g, *b]));
}
}
}
}
return closest;
}
fn map_image_list(all_cols: &ColourSet, cols: Vec<Colour>) -> HashMap<Colour, Colour> {
let mut output_cols: HashMap<Colour, Colour> = HashMap::new();
for c in cols {
if let Some(col) = closest_colour(&c, &all_cols) {
output_cols.insert(c, col);
}
}
output_cols
}
fn map_image_image(img_1_cols: &ColourSet, img_2: DynamicImage) -> HashMap<Colour, Colour> {
let img_2_cols = extract_colours_set(img_2);
let mut output_cols: HashMap<Colour, Colour> = HashMap::new();
img_2_cols.iter().for_each(|c| {
if let Some(col) = closest_colour(c, &img_1_cols) {
output_cols.insert(*c, col);
}
});
output_cols
}
use crate::colours::{Colour, Match, extract_colours, map_image_image, map_image_list};
fn encode_hex(c: &Colour) -> String {
format!("#{:02x}{:02x}{:02x}", c[0], c[1], c[2])
}
fn pretty_print(h: HashMap<Colour, Colour>) {
h.iter()
.for_each(|(k, v)| println!("{}: {}", encode_hex(k), encode_hex(v)))
fn pretty_print(h: HashMap<Colour, Match>) {
h.iter().for_each(|(k, v)| {
println!(
"{}: {} ({:?})",
encode_hex(k),
encode_hex(&v.colour),
v.positions
)
})
}
fn main() {