Struct Pixel 

pub struct Pixel {
    pub r: u8,
    pub g: u8,
    pub b: u8,
    pub a: u8,
}

Fields

r: u8

g: u8

b: u8

a: u8

Implementations

impl Pixel

pub fn builder() -> PixelBuilder

Examples found in repository

examples/advanced-filters.rs (line 83)

fn apply_filter(
    canvas: &Canvas,
    center: (u32, u32),
    kernel: &Vec<f32>,
    coords: &Vec<(i32, i32)>,
) -> Pixel {
    let scales = kernel
        .iter()
        .zip(coords.iter())
        .fold(Pixel::builder(), |acc, (scale, (x, y))| {
            let pixel =
                canvas.get_pixel((center.0 as i32 + *x) as u32, (center.1 as i32 + *y) as u32);
            acc + PixelBuilder::from(
                pixel.r as f32 * scale,
                pixel.g as f32 * scale,
                pixel.b as f32 * scale,
                pixel.a as f32,
            )
        });
    scales.build()
}

pub fn new(red: u8, green: u8, blue: u8, alpha: u8) -> Pixel

Examples found in repository

examples/rotations.rs (line 7)

fn draw_filter(_: &Canvas, x: u32, y: u32) -> Pixel {
    let pixel = Pixel::new(x as u8, y as u8, 0, 255);
    pixel
}

examples/vertical-and-horizontal-chunks.rs (line 7)

fn draw_filter(_: &Canvas, _: u32, y: u32) -> Pixel {
    let y_level = (y / 10 + 1) as u8;
    let pixel = Pixel::new(15 * y_level, 0, 0, 255);
    pixel
}

// Slice pictures up and stitch them back together.
fn main() {
    let canvas = Canvas::new(100, 100);

    // Let's color it.
    let canvas = canvas.filter(draw_filter);
    let counts = count_colors(&canvas);
    assert_eq!(counts.len(), 10);
    assert_eq!(counts.get(&Pixel::new(30, 0, 0, 255)), Some(&1000));
    assert_eq!(counts.get(&Pixel::new(0, 0, 0, 0)), None);

    let chunks = canvas.vertical_chunks(10);
    for (i, chunk) in chunks.iter().enumerate() {
        let counts = count_colors(&chunk);
        assert_eq!(counts.len(), 1, "We are testing chunk {}", i);
        assert_eq!(
            counts.contains_key(&Pixel::new(((i + 1) * 15) as u8, 0, 0, 255)),
            true,
            "We are testing chunk {}",
            i
        );
    }
}

examples/advanced-filters.rs (line 66)

fn black_or_white_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    let pixel = canvas.get_pixel(x, y);
    if pixel.r < 128 {
        Pixel::new(0, 0, 0, 255)
    } else {
        Pixel::new(255, 255, 255, 255)
    }
}



fn apply_filter(
    canvas: &Canvas,
    center: (u32, u32),
    kernel: &Vec<f32>,
    coords: &Vec<(i32, i32)>,
) -> Pixel {
    let scales = kernel
        .iter()
        .zip(coords.iter())
        .fold(Pixel::builder(), |acc, (scale, (x, y))| {
            let pixel =
                canvas.get_pixel((center.0 as i32 + *x) as u32, (center.1 as i32 + *y) as u32);
            acc + PixelBuilder::from(
                pixel.r as f32 * scale,
                pixel.g as f32 * scale,
                pixel.b as f32 * scale,
                pixel.a as f32,
            )
        });
    scales.build()
}

fn lap_edge_detection_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    // NOTE: The kernel (this vector) needs to sum to 1.0. Below 1.0 your image will appear darker
    // and above 1.0 it will appear lighter.
    let kernel = vec![0.5, 1.0, 0.5, 1.0, -6.0, 1.0, 0.5, 1.0, 0.5];
    let coords = vec![
        (-1, -1),
        (0, -1),
        (1, -1),
        (-1, 0),
        (0, 0),
        (1, 0),
        (-1, 1),
        (0, 1),
        (1, 1),
    ];
    // For simplicity, we will leave out the edges of the picture.
    let canvas_size = canvas.dimensions();
    if x > 0 && y > 0 && x < canvas_size.width - 1 && y < canvas_size.height - 1 {
        let pixel = apply_filter(canvas, (x, y), &kernel, &coords);
        return pixel;
    }
    canvas.get_pixel(x, y)
}

fn prewitt_edge_detection_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    let kernel_one: Vec<f32> = vec![1f32, 0f32, -1f32, 1f32, 0f32, -1f32, 1f32, 0f32, -1f32];
    let kernel_two: Vec<f32> = vec![1f32, 1f32, 1f32, 0f32, 0f32, 0f32, -1f32, -1f32, -1f32];
    let coords = vec![
        (-1, -1),
        (0, -1),
        (1, -1),
        (-1, 0),
        (0, 0),
        (1, 0),
        (-1, 1),
        (0, 1),
        (1, 1),
    ];

    let canvas_size = canvas.dimensions();
    if x > 0 && y > 0 && x < canvas_size.width - 1 && y < canvas_size.height - 1 {
        let pixel_one = apply_filter(canvas, (x, y), &kernel_one, &coords);
        let pixel_two = apply_filter(canvas, (x, y), &kernel_two, &coords);

        let pixel = PixelBuilder::from(
            ((pixel_one.r as u32 * pixel_one.r as u32 + pixel_two.r as u32 * pixel_two.r as u32)
                as f64)
                .sqrt() as f32,
            ((pixel_one.g as u32 * pixel_one.g as u32 + pixel_two.g as u32 * pixel_two.g as u32)
                as f64)
                .sqrt() as f32,
            ((pixel_one.b as u32 * pixel_one.b as u32 + pixel_two.b as u32 * pixel_two.b as u32)
                as f64)
                .sqrt() as f32,
            255f32,
        );
        return pixel.build();
    }
    canvas.get_pixel(x, y)
}

fn inverse(pixel: Pixel) -> Pixel {
    Pixel {
        r: u8::max_value() - pixel.r,
        g: u8::max_value() - pixel.g,
        b: u8::max_value() - pixel.b,
        a: pixel.a,
    }
}

fn inverse_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    inverse(canvas.get_pixel(x, y))
}

fn main() {
    // Gaussian blur
    let canvas = Canvas::load(Path::new("assets/lena.png")).unwrap();
    let test_image = Canvas::load(Path::new("assets/IMG_0771.JPG")).unwrap();
    let gaussian_canvas = canvas.filter(gaussian_filter);
    let _ = gaussian_canvas
        .save(Path::new("gaussian_canvas.png"))
        .unwrap();
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let _ = gaussian_canvas
        .save(Path::new("very_gaussian_canvas.png"))
        .unwrap();

    // Chaining filters
    let inverse_gaussian_canvas = canvas.filter(inverse_filter).filter(gaussian_filter);
    let _ = inverse_gaussian_canvas
        .save(Path::new("inverse_gaussian_canvas.png"))
        .unwrap();

    let lap_edge_detection_canvas = canvas.filter(lap_edge_detection_filter);
    let _ = lap_edge_detection_canvas
        .save(Path::new("lap_edge_detection_filter.png"))
        .unwrap();

    let prewitt_edge_detection_canvas = canvas.filter(prewitt_edge_detection_filter);
    let _ = prewitt_edge_detection_canvas
        .save(Path::new("prewitt_edge_detection_filter.png"))
        .unwrap();

    let lap_of_gaussian_filter_canvas = test_image.filter(grey_scale_filter).filter(lap_of_gaussian_filter);
    //let counted_colors = count_colors(&lap_of_gaussian_filter_canvas);
    //println!("{}", counted_colors_to_html(&counted_colors));
    let _ = lap_of_gaussian_filter_canvas
        .save(Path::new("lap_of_gaussian_edge_detection_filter.png"))
        .unwrap();
    let filtered_canvas = lap_of_gaussian_filter_canvas.filter(black_or_white_filter);
    let _ = filtered_canvas
        .save(Path::new("filtered_canvas.png"))
        .unwrap();

    let islands = filtered_canvas.find_islands(&Pixel::new(255, 255, 255, 255));
    let islands_with_size: Vec<Island> = islands.iter().filter(|x| x.points.len() > 40000).map(|x| x.clone()).collect();
    // TODO: Now we have the outline of the islands. 
    // Copy the islands a blank canvas.
    // Fill from the outside
    // Now you have the entire form of all the islands
    // Transfer the pixels that were not filled from the outside
    //
    //
    // TODO: NEW IDEA AS WELL: Create a 'fattener'. Paints a 2x2, 3x3, 4x4, ... etc around each
    // pixel. This way you can expand outwards





}

examples/filling.rs (line 14)

fn main() {
    let color = Pixel {
        r: 0,
        g: 0,
        b: 255,
        a: 255,
    };

    let new_color = Pixel::new(255, 0, 0, 255);

    let canvas = Canvas::new_with_background(100, 100, color.clone())
        .draw_square(10, 10, 80, 80, &new_color)
        .draw_square(20, 20, 60, 60, &color)
        .fill(1, 1, &Pixel::new(172, 172, 172, 255));
    canvas.save(Path::new("testing.png")).unwrap();

    let canvas = Canvas::load(Path::new("assets/20230709_111142.jpg")).unwrap().rotate90();
    println!("Size of canvas: {} x {}", canvas.dimensions().width, canvas.dimensions().height);
    /*let subcanvas = canvas.get_subimage(1600, 50, 1400, 400);
    let (center, distance) = utility::find_center_and_size(&subcanvas);
    println!("center and distance = {center} and {distance}");
    let canvas = canvas.fill_by_color_and_distance(1600, 50, &Pixel::new(0,0,0,0), &center, 100.0);

    println!("Size of canvas: {} x {}", canvas.dimensions().width, canvas.dimensions().height);
    canvas.save(Path::new("testing-fill-by-center-and-distance.png")).unwrap();*/

    /*for i in (30..90).step_by(1) {
        let current_canvas = canvas.clone();
        let name = format!("output_liv/distance_{i}.png");
        let current = current_canvas.fill_by_distance(1500, 20, &Pixel::new(0,0,0,0), i as f32);
        current.save(Path::new(&name)).unwrap();
        println!("Number {i} done");
    }*/
}

pub fn from(red: f32, green: f32, blue: f32, alpha: f32) -> Pixel

pub fn denormalize(red: f32, green: f32, blue: f32, alpha: f32) -> Pixel

pub fn random() -> Pixel

pub fn is_zero(&self) -> bool

pub fn multiply(&self, x: f32, y: f32, z: f32) -> Pixel

pub fn scale(&self, s: f32) -> Pixel

pub fn distance(&self, other: &Pixel) -> f32

Examples found in repository

examples/draw-on-flamingo.rs (line 7)

fn find_non_zero(p: &Pixel, _x: u32, _y: u32) -> bool {
    p.distance(&Colors::ZERO) > 4.0
}

pub fn diff(&self, other: &Pixel) -> Pixel

pub fn normalize(&self) -> (f32, f32, f32, f32)

pub fn set_red(self, red: u8) -> Pixel

pub fn set_green(self, green: u8) -> Pixel

pub fn set_blue(self, blue: u8) -> Pixel

pub fn set_alpha(self, alpha: u8) -> Pixel

pub fn set_red_mut(&mut self, red: u8)

pub fn set_green_mut(&mut self, green: u8)

pub fn set_blue_mut(&mut self, blue: u8)

pub fn set_alpha_mut(&mut self, alpha: u8)

Trait Implementations

impl Add<Pixel> for PixelBuilder

type Output = PixelBuilder

The resulting type after applying the + operator.

fn add(self, other: Pixel) -> PixelBuilder

Performs the + operation.

impl Add<PixelBuilder> for Pixel

type Output = PixelBuilder

The resulting type after applying the + operator.

fn add(self, other: PixelBuilder) -> PixelBuilder

Performs the + operation.

impl Add for Pixel

type Output = PixelBuilder

The resulting type after applying the + operator.

fn add(self, other: Pixel) -> PixelBuilder

Performs the + operation.

impl Clone for Pixel

fn clone(&self) -> Pixel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Pixel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Display for Pixel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Div<f32> for Pixel

type Output = PixelBuilder

The resulting type after applying the / operator.

fn div(self, other: f32) -> PixelBuilder

Performs the / operation.

impl Hash for Pixel

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Mul<f32> for Pixel

type Output = PixelBuilder

The resulting type after applying the * operator.

fn mul(self, other: f32) -> PixelBuilder

Performs the * operation.

impl PartialEq for Pixel

fn eq(&self, other: &Self) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Eq for Pixel