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| Author | SHA1 | Date | |
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| 4edaa2ba03 | |||
| 00f059108a | |||
| 9286255662 | |||
| e3895898ae | |||
| 14093f7a61 | |||
| 9f722b1040 | |||
| 68313eaba9 | |||
| cb92a56b20 |
1293
Cargo.lock
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1293
Cargo.lock
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File diff suppressed because it is too large
Load Diff
12
Cargo.toml
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12
Cargo.toml
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[package]
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name = "imagepicker"
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version = "0.1.0"
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edition = "2024"
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[dependencies]
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clap = { version = "4.6.*", features = ["derive"] }
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dotenv = "0.15.0"
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image = {version = "0.25.10", features = ["png"]}
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log = "0.4.29"
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pretty_env_logger = "0.5.0"
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rand = "0.10.1"
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74
src/cli.rs
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74
src/cli.rs
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use std::fmt::Debug;
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use std::num::ParseIntError;
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use clap::Parser;
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use image::{DynamicImage, ImageReader, Rgb};
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use crate::Colour;
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#[derive(Parser)]
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#[command(name = "imagePicker")]
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#[command(version = "1.0")]
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#[command(about = "Matches colours to their closest equivalents in a given image", long_about = None)]
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/// Matches the colours in one image to either a list of provided colours or a different image.
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///
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/// For each provided colour (either explicitly or in the second image), finds the closest colour
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/// from the first image, using redmean distance.
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pub struct Cli {
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/// The source image from which colours should be picked.
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#[arg(value_parser = valid_image_file)]
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pub image: DynamicImage,
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/// Optional second image; if used, all colours from this image will be matched to their closest
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/// equivalent in the first image.
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#[arg(short = 'i', long = "image", value_parser = valid_image_file)]
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pub second_image: Option<DynamicImage>,
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/// Optional list of hex values; if used, will match each value to their closest equivalent in
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/// the first image
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///
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/// Should provide valid hex codes only: '24274a', and '#cad3f5' are both valid.
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#[arg(short = 'c', long = "colours", value_parser = valid_hex_code)]
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pub colours: Option<Vec<Colour>>,
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}
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impl Debug for Cli {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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f.debug_struct("Cli")
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.field("image", &self.image)
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.field("image_two", &self.second_image)
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.field("colours", &self.colours)
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.finish()
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}
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}
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/// Validates that a given string represents a hex code for a RGB colour.
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///
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/// Optionally accepts a leading '#'.
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fn valid_hex_code(s: &str) -> Result<Colour, String> {
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// accept leading '#' for hex values
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let start = match s.chars().nth(0) == Some('#') {
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true => 1,
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false => 0,
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};
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let u8s: Vec<u8> = (start..s.len())
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.step_by(2)
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.map(|i| u8::from_str_radix(&s[i..i + 2], 16))
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.collect::<Result<Vec<u8>, ParseIntError>>()
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.map_err(|e| format!("{}", e))?;
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let rgb: [u8; 3] = u8s
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.try_into()
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.map_err(|_| <&str as Into<String>>::into("Hex string must decode to exactly 3 bytes"))?;
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Ok(Rgb(rgb))
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}
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/// Validates that agiven string points to a valid image file.
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fn valid_image_file(s: &str) -> Result<DynamicImage, String> {
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ImageReader::open(s)
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.map_err(|e| format!("{}", e))?
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.with_guessed_format()
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.map_err(|e| format!("{}", e))?
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.decode()
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.map_err(|e| format!("{}", e))
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}
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141
src/colours.rs
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141
src/colours.rs
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use std::collections::{HashMap, HashSet};
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use image::{DynamicImage, GenericImageView, Rgb};
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use log::info;
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use std::fmt::Debug;
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use crate::encode_hex;
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/// This type is used to efficiently store all colour values from an image.
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/// By using nested hashmaps we can save on space for colours with identical r and g values.
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/// Additionally stores a Vec of points to remember which colour maps to which pixel(s).
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pub type ColourMap = HashMap<u8, HashMap<u8, HashMap<u8, Vec<Point>>>>;
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/// We use one colour type.
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pub type Colour = Rgb<u8>;
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/// Struct to represent a point in an image.
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#[derive(Clone)]
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pub struct Point {
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x: u32,
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y: u32,
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}
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impl Debug for Point {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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f.write_str(&format!("{}, {}", &self.x, &self.y))
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}
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}
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/// Struct to save found matches for colours.
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/// includes the matched colour, and a list of pixels with that colour.
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pub struct Match {
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/// matched colour
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pub colour: Colour,
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/// list of pixels with the matching colour
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pub positions: Vec<Point>,
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}
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/// Extract all colours from a provided image into a nested ColourMap
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pub fn extract_colours(img: DynamicImage) -> ColourMap {
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let mut out: ColourMap = HashMap::new();
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for (x, y, p) in img.pixels() {
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out.entry(p[0])
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.or_insert_with(HashMap::new)
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.entry(p[1])
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.or_insert_with(HashMap::new)
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.entry(p[2])
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.or_insert_with(Vec::new)
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.push(Point { x, y });
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}
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out
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}
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/// Extract all colours in a provided image into a flat hashmap.
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fn extract_colours_set(img: DynamicImage) -> HashSet<Rgb<u8>> {
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let mut out = HashSet::new();
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img.pixels().for_each(|(_x, _y, p)| {
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out.insert(p);
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});
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out.into_iter().map(|c| Rgb([c[0], c[1], c[2]])).collect()
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}
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/// Finds the "closest" match to a colour in the provided map. Uses redmean distance.
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///
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/// arguments:
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/// colour: Colour which will be matched against all.
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/// all: Map of Colours to match against.
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fn closest_colour(colour: &Colour, all: &ColourMap) -> Option<Match> {
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// use redmean to calculate the distance between colours
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let mut closest: Option<Match> = None;
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let mut dist: f32 = f32::MAX;
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let (colour_r, colour_g, colour_b) = (colour[0] as f32, colour[1] as f32, colour[2] as f32);
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for (r, gbs) in all.iter() {
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// iterate over all reds
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let r_bar = 0.5 * (*r as f32 + colour_r);
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let r_squared = (*r as f32 - colour_r) * (*r as f32 - colour_r);
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for (g, bs) in gbs.iter() {
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// iterate over all greens
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let g_squared = (*g as f32 - colour_g) * (*g as f32 - colour_g);
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for (b, vec) in bs.iter() {
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// iterate over all blues
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let b_squared = (*b as f32 - colour_b) * (*b as f32 - colour_b);
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let delta = (2.0 + r_bar / 256.0) * r_squared
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+ 4.0 * g_squared
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+ (2.0 + (255.0 - r_bar) / 256.0) * b_squared;
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if delta < dist {
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// update closest if better match found
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dist = delta;
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closest = Some(Match {
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colour: Rgb([*r, *g, *b]),
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positions: vec.to_vec(), // FIXME (low priority): would be more efficient if
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// i can make these a borrow instead, but that
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// leads to lifetime issues
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});
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}
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}
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}
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}
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return closest;
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}
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/// Maps a list of colours to the closest equivalents in the provided map.
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///
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/// arguments:
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/// all_cols: Map of colours match against.
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/// cols: Vec of Colours which will be matched against all_cols.
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///
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/// returns: Hashmap of colour, match pairs.
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pub fn map_image_list(all_cols: &ColourMap, cols: Vec<Colour>) -> HashMap<Colour, Match> {
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let mut output_cols: HashMap<Colour, Match> = HashMap::new();
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for c in cols {
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info!("Matching colour {}", encode_hex(&c));
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if let Some(col) = closest_colour(&c, &all_cols) {
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output_cols.insert(c, col);
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}
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}
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output_cols
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}
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/// Maps the colours of one image to the closest equivalents in the provided map.
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///
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/// arguments:
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/// img_1_cols: Map of colours to match against.
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/// img_2: DynamicImage for which each colour will be matched against img_1_cols.
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///
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/// returns: Hashmap of colour, match pairs.
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pub fn map_image_image(img_1_cols: &ColourMap, img_2: DynamicImage) -> HashMap<Colour, Match> {
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let img_2_cols = extract_colours_set(img_2);
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let mut output_cols: HashMap<Colour, Match> = HashMap::new();
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img_2_cols.iter().for_each(|c| {
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info!("Matching colour {}", encode_hex(&c));
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if let Some(col) = closest_colour(c, &img_1_cols) {
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output_cols.insert(*c, col);
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}
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});
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output_cols
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}
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46
src/main.rs
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46
src/main.rs
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@@ -0,0 +1,46 @@
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mod cli;
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mod colours;
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use clap::Parser;
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use std::collections::HashMap;
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use dotenv::dotenv;
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use crate::cli::Cli;
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use crate::colours::{Colour, Match, extract_colours, map_image_image, map_image_list};
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/// Encodes a RGB colour as a hex code.
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fn encode_hex(c: &Colour) -> String {
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format!("#{:02x}{:02x}{:02x}", c[0], c[1], c[2])
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}
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/// Formats found matches for CLI otuput.
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fn pretty_print(h: HashMap<Colour, Match>) {
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h.iter().for_each(|(k, v)| {
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println!(
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"{}: {} ({:?})",
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encode_hex(k),
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encode_hex(&v.colour),
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v.positions
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)
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})
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}
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/// Driver code.
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fn main() {
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dotenv().ok();
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pretty_env_logger::init();
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let cli = Cli::parse();
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let set = extract_colours(cli.image);
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if let Some(cs) = cli.colours {
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let colours = map_image_list(&set, cs);
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pretty_print(colours);
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}
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if let Some(i) = cli.second_image {
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let colours = map_image_image(&set, i);
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pretty_print(colours);
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}
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}
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Reference in New Issue
Block a user