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refactor(math): moved the common permutation function outside the impls
This commit is contained in:
parent
b290f98b11
commit
ae9918c9b9
1 changed files with 286 additions and 292 deletions
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@ -1,8 +1,26 @@
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use image::{DynamicImage, GenericImage, GenericImageView, Rgba};
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use rand::Rng;
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use comet_log::debug;
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use crate::v2;
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use crate::lerp;
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use image::{DynamicImage, GenericImage, Rgba};
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use rand::Rng;
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fn permutation(seed: i32, value: i32) -> i32 {
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const P: [i32; 256] = [
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151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30,
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69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94,
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252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125, 136, 171,
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168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60,
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211, 133, 230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161, 1,
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216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86,
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164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118,
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126, 255, 82, 85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170,
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213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39,
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253, 19, 98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34,
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242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49,
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192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150, 254,
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138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180,
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];
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P[((value ^ seed) & 255) as usize]
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}
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// TODO
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// Make noise struct keep their generated noise
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@ -10,372 +28,348 @@ use crate::lerp;
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// Use noise trait to let the generated noise be outputed in different ways like images or Vec<f32>
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pub trait NoiseGenerator {
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fn generate(&self) -> Vec<f32>;
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fn generate_image(&self) -> DynamicImage;
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fn generate(&self) -> Vec<f32>;
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fn generate_image(&self) -> DynamicImage;
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}
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pub struct WhiteNoise {
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size: (usize, usize),
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size: (usize, usize),
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}
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impl WhiteNoise {
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/// Creates a white noise generator ideal for multiple uses.
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pub fn new(width: usize, height: usize) -> Self {
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Self {
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size: (width, height)
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}
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}
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/// Creates a white noise generator ideal for multiple uses.
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pub fn new(width: usize, height: usize) -> Self {
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Self {
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size: (width, height),
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}
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}
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pub fn set_width(&mut self, width: usize) {
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self.size.0 = width;
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}
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pub fn set_width(&mut self, width: usize) {
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self.size.0 = width;
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}
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pub fn set_height(&mut self, height: usize) {
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self.size.1 = height;
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}
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pub fn set_height(&mut self, height: usize) {
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self.size.1 = height;
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}
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pub fn set_size(&mut self, width: usize, height: usize) {
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self.size = (width, height);
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}
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pub fn set_size(&mut self, width: usize, height: usize) {
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self.size = (width, height);
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}
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/// Generates white noise as a `Vec<f32>`. Size of the vector is `width * height`.
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pub fn generate(size: (usize, usize)) -> Vec<f32> {
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let mut rng = rand::rng();
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let mut noise = Vec::with_capacity(size.0 * size.1);
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/// Generates white noise as a `Vec<f32>`. Size of the vector is `width * height`.
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pub fn generate(size: (usize, usize)) -> Vec<f32> {
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let mut rng = rand::rng();
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let mut noise = Vec::with_capacity(size.0 * size.1);
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for _ in 0..size.0 * size.1 {
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noise.push(rng.random_range(0.0..1.0));
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}
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for _ in 0..size.0 * size.1 {
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noise.push(rng.random_range(0.0..1.0));
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}
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noise
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}
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noise
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}
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/// Generates white noise as a `DynamicImage`.
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pub fn generate_image(size: (usize, usize)) -> DynamicImage {
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let mut rng = rand::rng();
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let mut image = DynamicImage::new_rgb8(size.0 as u32, size.1 as u32);
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/// Generates white noise as a `DynamicImage`.
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pub fn generate_image(size: (usize, usize)) -> DynamicImage {
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let mut rng = rand::rng();
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let mut image = DynamicImage::new_rgb8(size.0 as u32, size.1 as u32);
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for y in 0..size.1 {
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for x in 0..size.0 {
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let value = (rng.random_range(0.0..1.0) * 255.0) as u8;
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image.put_pixel(x as u32, y as u32, Rgba([value, value, value, 255]));
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}
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}
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for y in 0..size.1 {
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for x in 0..size.0 {
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let value = (rng.random_range(0.0..1.0) * 255.0) as u8;
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image.put_pixel(x as u32, y as u32, Rgba([value, value, value, 255]));
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}
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}
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image
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}
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image
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}
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}
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impl NoiseGenerator for WhiteNoise {
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/// Generates white noise as a `Vec<f32>`. Size of the vector is `width * height`.
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fn generate(&self) -> Vec<f32> {
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let mut rng = rand::rng();
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let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
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/// Generates white noise as a `Vec<f32>`. Size of the vector is `width * height`.
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fn generate(&self) -> Vec<f32> {
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let mut rng = rand::rng();
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let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
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for _ in 0..self.size.0 * self.size.1 {
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noise.push(rng.random_range(0.0..1.0));
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}
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for _ in 0..self.size.0 * self.size.1 {
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noise.push(rng.random_range(0.0..1.0));
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}
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noise
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}
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noise
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}
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/// Generates white noise as a `DynamicImage`.
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fn generate_image(&self) -> DynamicImage {
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let mut rng = rand::rng();
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let mut image = DynamicImage::new_rgb8(self.size.0 as u32, self.size.1 as u32);
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/// Generates white noise as a `DynamicImage`.
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fn generate_image(&self) -> DynamicImage {
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let mut rng = rand::rng();
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let mut image = DynamicImage::new_rgb8(self.size.0 as u32, self.size.1 as u32);
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for y in 0..self.size.1 {
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for x in 0..self.size.0 {
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let value = (rng.random_range(0.0..1.0) * 255.0) as u8;
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image.put_pixel(x as u32, y as u32, Rgba([value, value, value, 255]));
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}
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}
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for y in 0..self.size.1 {
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for x in 0..self.size.0 {
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let value = (rng.random_range(0.0..1.0) * 255.0) as u8;
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image.put_pixel(x as u32, y as u32, Rgba([value, value, value, 255]));
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}
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}
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image
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}
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image
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}
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}
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pub struct PerlinNoise {
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size: (usize, usize),
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frequency: f64,
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seed: u32,
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size: (usize, usize),
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frequency: f64,
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seed: u32,
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}
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impl PerlinNoise {
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pub fn new(width: usize, height: usize, frequency: f64, seed: u32) -> Self {
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Self {
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size: (width, height),
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frequency,
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seed,
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}
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}
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pub fn new(width: usize, height: usize, frequency: f64, seed: u32) -> Self {
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Self {
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size: (width, height),
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frequency,
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seed,
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}
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}
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pub fn set_width(&mut self, width: usize) {
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self.size.0 = width;
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}
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pub fn set_width(&mut self, width: usize) {
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self.size.0 = width;
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}
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pub fn set_height(&mut self, height: usize) {
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self.size.1 = height;
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}
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pub fn set_height(&mut self, height: usize) {
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self.size.1 = height;
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}
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pub fn set_size(&mut self, width: usize, height: usize) {
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self.size = (width, height);
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}
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pub fn set_size(&mut self, width: usize, height: usize) {
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self.size = (width, height);
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}
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pub fn set_frequency(&mut self, frequency: f64) {
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self.frequency = frequency;
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}
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pub fn set_frequency(&mut self, frequency: f64) {
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self.frequency = frequency;
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}
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pub fn set_seed(&mut self, seed: u32) {
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self.seed = seed;
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}
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pub fn set_seed(&mut self, seed: u32) {
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self.seed = seed;
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}
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/// Generates Perlin noise as a `Vec<f32>`. Size of the vector is `width * height`.
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pub fn generate(&self) -> Vec<f32> {
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let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
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/// Generates Perlin noise as a `Vec<f32>`. Size of the vector is `width * height`.
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pub fn generate(&self) -> Vec<f32> {
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let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
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for y in 0..self.size.1 {
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for x in 0..self.size.0 {
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let nx = x as f64 / self.size.0 as f64;
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let ny = y as f64 / self.size.1 as f64;
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let value = self.perlin(nx * self.frequency, ny * self.frequency);
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noise.push((value+1.0) * 0.5);
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}
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}
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for y in 0..self.size.1 {
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for x in 0..self.size.0 {
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let nx = x as f64 / self.size.0 as f64;
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let ny = y as f64 / self.size.1 as f64;
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let value = self.perlin(nx * self.frequency, ny * self.frequency);
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noise.push((value + 1.0) * 0.5);
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}
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}
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noise
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}
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noise
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}
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/// Generates Perlin noise with multiple octaves as a `Vec<f32>`.
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pub fn generate_with_octaves(&self, octaves: u32, persistence: f64) -> Vec<f32> {
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let mut noise = vec![0.0; self.size.0 * self.size.1];
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let mut amplitude = 1.0;
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let mut frequency = self.frequency;
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let mut max_value = 0.0; // Used for normalization
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/// Generates Perlin noise with multiple octaves as a `Vec<f32>`.
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pub fn generate_with_octaves(&self, octaves: u32, persistence: f64) -> Vec<f32> {
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let mut noise = vec![0.0; self.size.0 * self.size.1];
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let mut amplitude = 1.0;
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let mut frequency = self.frequency;
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let mut max_value = 0.0; // Used for normalization
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for _ in 0..octaves {
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for y in 0..self.size.1 {
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for x in 0..self.size.0 {
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let nx = x as f64 / self.size.0 as f64;
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let ny = y as f64 / self.size.1 as f64;
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noise[y * self.size.0 + x] += self.perlin(nx * frequency, ny * frequency) as f32 * amplitude as f32;
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}
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}
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max_value += amplitude;
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amplitude *= persistence; // Reduce amplitude for next octave
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frequency *= 2.0; // Double frequency for next octave
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}
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for _ in 0..octaves {
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for y in 0..self.size.1 {
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for x in 0..self.size.0 {
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let nx = x as f64 / self.size.0 as f64;
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let ny = y as f64 / self.size.1 as f64;
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noise[y * self.size.0 + x] +=
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self.perlin(nx * frequency, ny * frequency) as f32 * amplitude as f32;
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}
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}
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max_value += amplitude;
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amplitude *= persistence; // Reduce amplitude for next octave
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frequency *= 2.0; // Double frequency for next octave
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}
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// Normalize the noise to the range [0, 1]
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noise.iter_mut().for_each(|value| *value /= max_value as f32);
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// Normalize the noise to the range [0, 1]
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noise
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.iter_mut()
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.for_each(|value| *value /= max_value as f32);
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noise.iter_mut().for_each(|value| *value = (*value + 1.0) * 0.5);
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noise
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.iter_mut()
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.for_each(|value| *value = (*value + 1.0) * 0.5);
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noise
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}
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noise
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}
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/// A raw Perlin noise function implementation.
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fn perlin(&self, x: f64, y: f64) -> f32 {
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let xi = x.floor() as i32 & 255;
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let yi = y.floor() as i32 & 255;
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/// A raw Perlin noise function implementation.
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fn perlin(&self, x: f64, y: f64) -> f32 {
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let xi = x.floor() as i32 & 255;
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let yi = y.floor() as i32 & 255;
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let xf = x - x.floor();
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let yf = y - y.floor();
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let xf = x - x.floor();
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let yf = y - y.floor();
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let u = Self::fade(xf);
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let v = Self::fade(yf);
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let u = Self::fade(xf);
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let v = Self::fade(yf);
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let a = permutation(self.seed as i32, xi) + yi;
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let b = permutation(self.seed as i32, xi + 1) + yi;
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let a = self.permutation(xi) + yi;
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let b = self.permutation(xi + 1) + yi;
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let aa = permutation(self.seed as i32, a);
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let ab = permutation(self.seed as i32, a + 1);
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let ba = permutation(self.seed as i32, b);
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let bb = permutation(self.seed as i32, b + 1);
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let aa = self.permutation(a);
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let ab = self.permutation(a + 1);
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let ba = self.permutation(b);
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let bb = self.permutation(b + 1);
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let x1 = lerp(
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u as f32,
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Self::grad(permutation(self.seed as i32, aa), xf, yf) as f32,
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Self::grad(permutation(self.seed as i32, ba), xf - 1.0, yf) as f32,
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);
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let x2 = lerp(
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u as f32,
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Self::grad(
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permutation(self.seed as i32, permutation(self.seed as i32, ab)),
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xf,
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yf - 1.0,
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) as f32,
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Self::grad(
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permutation(self.seed as i32, permutation(self.seed as i32, bb)),
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xf - 1.0,
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yf - 1.0,
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) as f32,
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);
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let x1 = lerp(u as f32, Self::grad(self.permutation(aa), xf, yf) as f32, Self::grad(self.permutation(ba), xf - 1.0, yf) as f32);
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let x2 = lerp(u as f32, Self::grad(self.permutation(ab), xf, yf - 1.0) as f32, Self::grad(self.permutation(bb), xf - 1.0, yf - 1.0) as f32);
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lerp(v as f32, x1, x2)
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}
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lerp(v as f32, x1, x2)
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}
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fn fade(t: f64) -> f64 {
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t * t * t * (t * (t * 6.0 - 15.0) + 10.0)
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}
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fn fade(t: f64) -> f64 {
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t * t * t * (t * (t * 6.0 - 15.0) + 10.0)
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}
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fn lerp(t: f64, a: f64, b: f64) -> f64 {
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a + t * (b - a)
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}
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fn grad(hash: i32, x: f64, y: f64) -> f64 {
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let h = hash & 3;
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let u = if h & 2 == 0 { x } else { -x };
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let v = if h & 1 == 0 { y } else { -y };
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u + v
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}
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fn permutation(&self, value: i32) -> i32 {
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const P: [i32; 256] = [
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151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99, 37, 240,
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21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88,
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237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158, 231,
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83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
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1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109,
|
||||
198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206,
|
||||
59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153,
|
||||
101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218,
|
||||
246, 97, 228, 251, 34, 242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107,
|
||||
49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205,
|
||||
93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180
|
||||
];
|
||||
|
||||
P[((value ^ self.seed as i32) & 255) as usize]
|
||||
}
|
||||
fn grad(hash: i32, x: f64, y: f64) -> f64 {
|
||||
let h = hash & 3;
|
||||
let u = if h & 2 == 0 { x } else { -x };
|
||||
let v = if h & 1 == 0 { y } else { -y };
|
||||
u + v
|
||||
}
|
||||
}
|
||||
|
||||
pub struct ValueNoise {
|
||||
size: (usize, usize),
|
||||
frequency: f64,
|
||||
seed: u32,
|
||||
size: (usize, usize),
|
||||
frequency: f64,
|
||||
seed: u32,
|
||||
}
|
||||
|
||||
impl ValueNoise {
|
||||
pub fn new(width: usize, height: usize, frequency: f64, seed: u32) -> Self {
|
||||
Self {
|
||||
size: (width, height),
|
||||
frequency,
|
||||
seed,
|
||||
}
|
||||
}
|
||||
pub fn new(width: usize, height: usize, frequency: f64, seed: u32) -> Self {
|
||||
Self {
|
||||
size: (width, height),
|
||||
frequency,
|
||||
seed,
|
||||
}
|
||||
}
|
||||
|
||||
fn permutation(&self, value: i32) -> i32 {
|
||||
const P: [i32; 256] = [
|
||||
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99, 37, 240,
|
||||
21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88,
|
||||
237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158, 231,
|
||||
83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
|
||||
1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109,
|
||||
198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206,
|
||||
59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153,
|
||||
101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218,
|
||||
246, 97, 228, 251, 34, 242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107,
|
||||
49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205,
|
||||
93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180
|
||||
];
|
||||
fn noise(&self, p: (f32, f32)) -> f32 {
|
||||
let i = (p.0.floor() as i32, p.1.floor() as i32);
|
||||
let f = (p.0.fract(), p.1.fract());
|
||||
|
||||
P[((value ^ self.seed as i32) & 255) as usize]
|
||||
}
|
||||
// cubic interpolant
|
||||
let u = (f.0 * f.0 * (3.0 - 2.0 * f.0), f.1 * f.1 * (3.0 - 2.0 * f.1));
|
||||
|
||||
fn noise(&self, p: (f32, f32)) -> f32 {
|
||||
let i = (p.0.floor() as i32, p.1.floor() as i32);
|
||||
let f = (p.0.fract(), p.1.fract());
|
||||
let a = permutation(self.seed as i32, i.0) + i.1;
|
||||
let b = permutation(self.seed as i32, i.0 + 1) + i.1;
|
||||
|
||||
// cubic interpolant
|
||||
let u = (
|
||||
f.0 * f.0 * (3.0 - 2.0 * f.0),
|
||||
f.1 * f.1 * (3.0 - 2.0 * f.1)
|
||||
);
|
||||
lerp(
|
||||
lerp(
|
||||
permutation(self.seed as i32, a) as f32 / 255.0 * 2.0 - 1.0,
|
||||
permutation(self.seed as i32, b) as f32 / 255.0 * 2.0 - 1.0,
|
||||
u.0,
|
||||
),
|
||||
lerp(
|
||||
permutation(self.seed as i32, a + 1) as f32 / 255.0 * 2.0 - 1.0,
|
||||
permutation(self.seed as i32, b + 1) as f32 / 255.0 * 2.0 - 1.0,
|
||||
u.0,
|
||||
),
|
||||
u.1,
|
||||
)
|
||||
}
|
||||
|
||||
let a = self.permutation(i.0) + i.1;
|
||||
let b = self.permutation(i.0 + 1) + i.1;
|
||||
pub fn generate(&self) -> Vec<f32> {
|
||||
let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
|
||||
let mut max_amplitude = 0.0;
|
||||
let mut amplitude = 0.5;
|
||||
|
||||
lerp(
|
||||
lerp(
|
||||
self.permutation(a) as f32 / 255.0 * 2.0 - 1.0,
|
||||
self.permutation(b) as f32 / 255.0 * 2.0 - 1.0,
|
||||
u.0
|
||||
),
|
||||
lerp(
|
||||
self.permutation(a + 1) as f32 / 255.0 * 2.0 - 1.0,
|
||||
self.permutation(b + 1) as f32 / 255.0 * 2.0 - 1.0,
|
||||
u.0
|
||||
),
|
||||
u.1
|
||||
)
|
||||
}
|
||||
// Calculate max amplitude for normalization
|
||||
for _ in 0..4 {
|
||||
max_amplitude += amplitude;
|
||||
amplitude *= 0.5;
|
||||
}
|
||||
|
||||
pub fn generate(&self) -> Vec<f32> {
|
||||
let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
|
||||
let mut max_amplitude = 0.0;
|
||||
let mut amplitude = 0.5;
|
||||
for y in 0..self.size.1 {
|
||||
for x in 0..self.size.0 {
|
||||
let mut uv = (
|
||||
x as f32 / self.size.0 as f32 * self.frequency as f32,
|
||||
y as f32 / self.size.1 as f32 * self.frequency as f32,
|
||||
);
|
||||
|
||||
// Calculate max amplitude for normalization
|
||||
for _ in 0..4 {
|
||||
max_amplitude += amplitude;
|
||||
amplitude *= 0.5;
|
||||
}
|
||||
let mut f = 0.0;
|
||||
let mut amplitude = 0.5;
|
||||
|
||||
for y in 0..self.size.1 {
|
||||
for x in 0..self.size.0 {
|
||||
let mut uv = (
|
||||
x as f32 / self.size.0 as f32 * self.frequency as f32,
|
||||
y as f32 / self.size.1 as f32 * self.frequency as f32,
|
||||
);
|
||||
/*for _ in 0..4 { // 4 octaves*/
|
||||
f += amplitude * self.noise(uv);
|
||||
|
||||
let mut f = 0.0;
|
||||
let mut amplitude = 0.5;
|
||||
// Double frequency for next octave
|
||||
uv = (uv.0 * 2.0, uv.1 * 2.0);
|
||||
|
||||
/*for _ in 0..4 { // 4 octaves*/
|
||||
f += amplitude * self.noise(uv);
|
||||
// Reduce amplitude (persistence)
|
||||
amplitude *= 0.5;
|
||||
/*}*/
|
||||
|
||||
// Double frequency for next octave
|
||||
uv = (uv.0 * 2.0, uv.1 * 2.0);
|
||||
// Normalize and convert to [0, 1]
|
||||
f = ((f / max_amplitude) + 1.0) * 0.5;
|
||||
|
||||
// Reduce amplitude (persistence)
|
||||
amplitude *= 0.5;
|
||||
/*}*/
|
||||
noise.push(f);
|
||||
}
|
||||
}
|
||||
|
||||
// Normalize and convert to [0, 1]
|
||||
f = ((f / max_amplitude) + 1.0) * 0.5;
|
||||
noise
|
||||
}
|
||||
|
||||
noise.push(f);
|
||||
}
|
||||
}
|
||||
pub fn generate_with_octaves(&self, octaves: u32, persistence: f64) -> Vec<f32> {
|
||||
let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
|
||||
let mut max_amplitude = 0.0;
|
||||
let mut amplitude = 1.0;
|
||||
|
||||
noise
|
||||
}
|
||||
// Calculate max amplitude for normalization
|
||||
for _ in 0..octaves {
|
||||
max_amplitude += amplitude;
|
||||
amplitude *= persistence;
|
||||
}
|
||||
|
||||
for y in 0..self.size.1 {
|
||||
for x in 0..self.size.0 {
|
||||
// Convert to UV space and scale by frequency
|
||||
let mut uv = (
|
||||
x as f32 / self.size.0 as f32 * self.frequency as f32,
|
||||
y as f32 / self.size.1 as f32 * self.frequency as f32,
|
||||
);
|
||||
|
||||
pub fn generate_with_octaves(&self, octaves: u32, persistence: f64) -> Vec<f32> {
|
||||
let mut noise = Vec::with_capacity(self.size.0 * self.size.1);
|
||||
let mut max_amplitude = 0.0;
|
||||
let mut amplitude = 1.0;
|
||||
let mut f = 0.0;
|
||||
let mut amplitude = 1.0;
|
||||
|
||||
// Calculate max amplitude for normalization
|
||||
for _ in 0..octaves {
|
||||
max_amplitude += amplitude;
|
||||
amplitude *= persistence;
|
||||
}
|
||||
for _ in 0..octaves {
|
||||
f += amplitude * self.noise(uv);
|
||||
|
||||
for y in 0..self.size.1 {
|
||||
for x in 0..self.size.0 {
|
||||
// Convert to UV space and scale by frequency
|
||||
let mut uv = (
|
||||
x as f32 / self.size.0 as f32 * self.frequency as f32,
|
||||
y as f32 / self.size.1 as f32 * self.frequency as f32,
|
||||
);
|
||||
// Double frequency for next octave
|
||||
uv = (uv.0 * 2.0, uv.1 * 2.0);
|
||||
|
||||
let mut f = 0.0;
|
||||
let mut amplitude = 1.0;
|
||||
// Reduce amplitude (persistence)
|
||||
amplitude *= persistence as f32;
|
||||
}
|
||||
|
||||
for _ in 0..octaves {
|
||||
f += amplitude * self.noise(uv);
|
||||
// Normalize and convert to [0, 1]
|
||||
f = ((f / max_amplitude as f32) + 1.0) * 0.5;
|
||||
|
||||
// Double frequency for next octave
|
||||
uv = (uv.0 * 2.0, uv.1 * 2.0);
|
||||
noise.push(f);
|
||||
}
|
||||
}
|
||||
|
||||
// Reduce amplitude (persistence)
|
||||
amplitude *= persistence as f32;
|
||||
}
|
||||
|
||||
// Normalize and convert to [0, 1]
|
||||
f = ((f / max_amplitude as f32) + 1.0) * 0.5;
|
||||
|
||||
noise.push(f);
|
||||
}
|
||||
}
|
||||
|
||||
noise
|
||||
}
|
||||
}
|
||||
noise
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue