auto-palette

🎨 A Rust library for automatically extracting prominent color palettes from images.

Features

Theme	Color Palette
(Default)
Colorful
Vivid
Muted
Light
Dark

[!NOTE] Photo by Laura Clugston on Unsplash

• Automatically extracts prominent color palettes from images.
• Provides detailed information on color, position, and population.
• Supports multiple extraction algorithms: DBSCAN, DBSCAN++, KMeans, SLIC, and SNIC.
• Supports numerous color spaces: RGB, HSL, LAB and more.
• Theme-based swatch selection: Colorful, Vivid, Muted, Light, and Dark.

Installation

Using auto-palette in your Rust project, add it to your Cargo.toml.

[dependencies]
auto-palette = "0.9.2"

[!NOTE] This project is pre-1.0.0. While the API is generally stable, breaking changes may still occur.

Usage

Here is a basic example that demonstrates how to extract the color palette and find the prominent colors.

use auto_palette::{ImageData, Palette};

fn main() {
  // Load the image data from the file
  let image_data = ImageData::load("../../gfx/holly-booth-hLZWGXy5akM-unsplash.jpg").unwrap();

  // Extract the color palette from the image data
  let palette: Palette<f64> = Palette::extract(&image_data).unwrap();
  println!("Extracted {} swatches", palette.len());

  // Find the 5 prominent colors in the palette and print their information
  let swatches = palette.find_swatches(5).unwrap();
  for swatch in swatches {
    println!("Color: {}", swatch.color().to_hex_string());
    println!("Position: {:?}", swatch.position());
    println!("Population: {}", swatch.population());
  }
}

For more advanced examples, see the examples directory.

Documentation

See the full documentation on docs.rs.

• ImageData
• Palette
• Swatch

ImageData

The ImageData struct represents the image data that is used to extract the color palette.

• ImageData::load
• ImageData::new

ImageData::load

Loads the image data from the file.
This method requires the image feature to be enabled. The image feature is enabled by default.

[dependencies]
auto-palette = { version = "0.9.2", features = ["image"] }
image        = { version = "0.25.6", features = ["jpeg"] } # if you want to load jpeg images

// Load the image data from the file
let image_data = ImageData::load("path/to/image.jpg").unwrap();

ImageData::new

Creates a new instance from the raw image data.
Each pixel is represented by four consecutive bytes in the order of R, G, B, and A.

// Create a new instance from the raw image data
let pixels = [
  255, 0, 0, 255,   // Red
  0, 255, 0, 255,   // Green
  0, 0, 255, 255,   // Blue
  255, 255, 0, 255, // Yellow
];
let image_data = ImageData::new(2, 2, &pixels).unwrap();

Palette

The Palette struct represents the color palette extracted from the ImageData.

• Palette::extract
• Palette::builder
• Palette::find_swatches
• Palette::find_swatches_with_theme

Palette::extract

Extracts the color palette from the given ImageData. This method is used to extract the color palette with the default Algorithm(DBSCAN).

// Load the image data from the file
let image_data = ImageData::load("path/to/image.jpg").unwrap();

// Extract the color palette from the image data
let palette: Palette<f64> = Palette::extract(&image_data).unwrap();

Palette::builder

Creates a new PaletteBuilder instance to customize the palette extraction process. This method allows you to specify the algorithm, color filter, and other options.

// Load the image data from the file
let image_data = ImageData::load("path/to/image.jpg").unwrap();
// Extract the color palette from the image data with the specified algorithm
let palette: Palette<f64> = Palette::builder()
    .algorithm(Algorithm::DBSCANpp) // Use DBSCAN++ algorithm for extraction
    .filter(|pixel| pixel[3] < 64) // Filter out pixels with alpha < 64
    .max_swatches(128) // Limit the maximum number of swatches to 128
    .build(&image_data) // Build the palette from the image data
    .unwrap();

Palette::find_swatches

Finds the prominent colors in the palette based on the number of swatches.
Returned swatches are sorted by their population in descending order.

// Find the 5 prominent colors in the palette
let swatches = palette.find_swatches(5);

Palette::find_swatches_with_theme

Finds the prominent colors in the palette based on the specified Theme and the number of swatches. The supported themes are Colorful, Vivid, Muted, Light, and Dark.

// Find the 5 prominent colors in the palette with the specified theme
let swatches = palette.find_swatches_with_theme(5, Theme::Light);

Swatch

The Swatch struct represents the color swatch in the Palette.
It contains detailed information about the color, position, population, and ratio.

// Find the 5 prominent colors in the palette
let swatches = palette.find_swatches(5);

for swatch in swatches {
    // Get the color, position, and population of the swatch
    println!("Color: {:?}", swatch.color());
    println!("Position: {:?}", swatch.position());
    println!("Population: {}", swatch.population());
    println!("Ratio: {}", swatch.ratio());
}

[!TIP] The Color struct provides various methods to convert the color to different formats, such as RGB, HSL, and CIE L*a*b*.

let color = swatch.color();
println!("Hex: {}", color.to_hex_string());
println!("RGB: {:?}", color.to_rgb());
println!("HSL: {:?}", color.to_hsl());
println!("CIE L*a*b*: {:?}", color.to_lab());
println!("Oklch: {:?}", color.to_oklch());

Development

Follow the instructions below to build and test the project:

1. Fork and clone the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and write tests.
4. Test your changes with cargo test --lib.
5. Format the code with cargo +nightly fmt and taplo fmt.
6. Create a pull request.

License

This project is distributed under the MIT License. See the LICENSE file for details.