forked from s425077/PotatoPlan
PerlinNoise map generator
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@ -87,6 +87,7 @@
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<Compile Include="Properties\AssemblyInfo.cs" />
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<Compile Include="Sources\Crops\CropType.cs" />
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<Compile Include="Sources\Crops\CropTypesHolder.cs" />
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<Compile Include="Sources\Crops\PerlinNoise.cs" />
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<Compile Include="Sources\Crops\SoilProperties.cs" />
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<Compile Include="Sources\ML\Engine.cs" />
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<Compile Include="Sources\Objects\DayNightCycle.cs" />
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@ -159,6 +160,9 @@
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</EmbeddedResource>
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="LibNoise">
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<Version>0.2.0</Version>
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</PackageReference>
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<PackageReference Include="LightGBM">
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<Version>2.3.1</Version>
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</PackageReference>
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@ -183,6 +187,9 @@
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<PackageReference Include="System.Collections.Immutable">
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<Version>1.7.0</Version>
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</PackageReference>
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<PackageReference Include="System.Drawing.Common">
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<Version>4.7.0</Version>
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</PackageReference>
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<PackageReference Include="System.Memory">
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<Version>4.5.4</Version>
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</PackageReference>
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@ -13,11 +13,16 @@ class Farm
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private CropTypesHolder PresetCrops = new CropTypesHolder();
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private int Update;
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private Astar astar = new Astar();
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private PerlinNoise perlin = new PerlinNoise();
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private float[][] whiteNoise;
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private float[][] perlinNoise;
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//initializes the crops
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public void init(Vector2 Size, Vector2 housepos)
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{
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whiteNoise = PerlinNoise.GenerateWhiteNoise(100, 100);
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perlinNoise = PerlinNoise.GeneratePerlinNoise(whiteNoise, 1);
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PresetCrops.init();
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r = new Random();
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crops = new Crops[100, 100];
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@ -26,6 +31,8 @@ class Farm
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{
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for (int j = 0; j < 99; j++)
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{
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int x = 0;
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/*
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int x = r.Next(0, 3);
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if (x == 0)
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{
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@ -35,6 +42,13 @@ class Farm
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{
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x = r.Next(1, 3);
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}
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*/
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if (perlinNoise[i][j] > 0 && perlinNoise[i][j] < 0.2f)
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x = 0;
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else if (perlinNoise[i][j] >= 0.2f && perlinNoise[i][j] < 0.7f)
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x = 1;
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else if (perlinNoise[i][j] >= 0.7f)
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x = 2;
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crops[i, j] = new Crops();
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crops[i, j].setStatus(x);
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crops[i, j].setOriginalStatus();
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333
Game1/Sources/Crops/PerlinNoise.cs
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333
Game1/Sources/Crops/PerlinNoise.cs
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@ -0,0 +1,333 @@
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using System.Drawing;
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using System.Drawing.Imaging;
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class PerlinNoise
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{
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#region Feilds
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static Random random = new Random();
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#endregion
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#region Reusable Functions
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public static float[][] GenerateWhiteNoise(int width, int height)
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{
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float[][] noise = GetEmptyArray<float>(width, height);
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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noise[i][j] = (float)random.NextDouble() % 1;
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}
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}
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return noise;
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}
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public static float Interpolate(float x0, float x1, float alpha)
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{
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return x0 * (1 - alpha) + alpha * x1;
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}
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public static Color Interpolate(Color col0, Color col1, float alpha)
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{
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float beta = 1 - alpha;
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return Color.FromArgb(
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255,
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(int)(col0.R * alpha + col1.R * beta),
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(int)(col0.G * alpha + col1.G * beta),
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(int)(col0.B * alpha + col1.B * beta));
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}
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public static Color GetColor(Color gradientStart, Color gradientEnd, float t)
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{
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float u = 1 - t;
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Color color = Color.FromArgb(
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255,
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(int)(gradientStart.R * u + gradientEnd.R * t),
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(int)(gradientStart.G * u + gradientEnd.G * t),
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(int)(gradientStart.B * u + gradientEnd.B * t));
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return color;
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}
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public static Color[][] MapGradient(Color gradientStart, Color gradientEnd, float[][] perlinNoise)
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{
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int width = perlinNoise.Length;
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int height = perlinNoise[0].Length;
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Color[][] image = GetEmptyArray<Color>(width, height); //an array of colours
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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image[i][j] = GetColor(gradientStart, gradientEnd, perlinNoise[i][j]);
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}
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}
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return image;
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}
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public static T[][] GetEmptyArray<T>(int width, int height)
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{
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T[][] image = new T[width][];
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for (int i = 0; i < width; i++)
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{
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image[i] = new T[height];
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}
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return image;
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}
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public static float[][] GenerateSmoothNoise(float[][] baseNoise, int octave)
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{
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int width = baseNoise.Length;
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int height = baseNoise[0].Length;
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float[][] smoothNoise = GetEmptyArray<float>(width, height);
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int samplePeriod = 1 << octave; // calculates 2 ^ k
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float sampleFrequency = 1.0f / samplePeriod;
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for (int i = 0; i < width; i++)
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{
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//calculate the horizontal sampling indices
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int sample_i0 = (i / samplePeriod) * samplePeriod;
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int sample_i1 = (sample_i0 + samplePeriod) % width; //wrap around
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float horizontal_blend = (i - sample_i0) * sampleFrequency;
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for (int j = 0; j < height; j++)
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{
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//calculate the vertical sampling indices
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int sample_j0 = (j / samplePeriod) * samplePeriod;
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int sample_j1 = (sample_j0 + samplePeriod) % height; //wrap around
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float vertical_blend = (j - sample_j0) * sampleFrequency;
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//blend the top two corners
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float top = Interpolate(baseNoise[sample_i0][sample_j0],
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baseNoise[sample_i1][sample_j0], horizontal_blend);
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//blend the bottom two corners
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float bottom = Interpolate(baseNoise[sample_i0][sample_j1],
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baseNoise[sample_i1][sample_j1], horizontal_blend);
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//final blend
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smoothNoise[i][j] = Interpolate(top, bottom, vertical_blend);
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}
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}
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return smoothNoise;
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}
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public static float[][] GeneratePerlinNoise(float[][] baseNoise, int octaveCount)
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{
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int width = baseNoise.Length;
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int height = baseNoise[0].Length;
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float[][][] smoothNoise = new float[octaveCount][][]; //an array of 2D arrays containing
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float persistance = 0.7f;
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//generate smooth noise
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for (int i = 0; i < octaveCount; i++)
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{
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smoothNoise[i] = GenerateSmoothNoise(baseNoise, i);
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}
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float[][] perlinNoise = GetEmptyArray<float>(width, height); //an array of floats initialised to 0
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float amplitude = 1.0f;
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float totalAmplitude = 0.0f;
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//blend noise together
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for (int octave = octaveCount - 1; octave >= 0; octave--)
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{
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amplitude *= persistance;
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totalAmplitude += amplitude;
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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perlinNoise[i][j] += smoothNoise[octave][i][j] * amplitude;
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}
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}
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}
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//normalisation
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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perlinNoise[i][j] /= totalAmplitude;
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}
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}
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return perlinNoise;
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}
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public static float[][] GeneratePerlinNoise(int width, int height, int octaveCount)
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{
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float[][] baseNoise = GenerateWhiteNoise(width, height);
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return GeneratePerlinNoise(baseNoise, octaveCount);
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}
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public static Color[][] MapToGrey(float[][] greyValues)
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{
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int width = greyValues.Length;
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int height = greyValues[0].Length;
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Color[][] image = GetEmptyArray<Color>(width, height);
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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int grey = (int)(255 * greyValues[i][j]);
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Color color = Color.FromArgb(255, grey, grey, grey);
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image[i][j] = color;
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}
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}
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return image;
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}
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public static void SaveImage(Color[][] image, string fileName)
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{
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int width = image.Length;
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int height = image[0].Length;
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Bitmap bitmap = new Bitmap(width, height, PixelFormat.Format32bppArgb);
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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bitmap.SetPixel(i, j, image[i][j]);
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}
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}
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bitmap.Save(fileName);
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}
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public static Color[][] LoadImage(string fileName)
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{
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Bitmap bitmap = new Bitmap(fileName);
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int width = bitmap.Width;
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int height = bitmap.Height;
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Color[][] image = GetEmptyArray<Color>(width, height);
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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image[i][j] = bitmap.GetPixel(i, j);
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}
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}
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return image;
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}
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public static Color[][] BlendImages(Color[][] image1, Color[][] image2, float[][] perlinNoise)
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{
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int width = image1.Length;
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int height = image1[0].Length;
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Color[][] image = GetEmptyArray<Color>(width, height); //an array of colours for the new image
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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image[i][j] = Interpolate(image1[i][j], image2[i][j], perlinNoise[i][j]);
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}
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}
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return image;
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}
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public static void DemoGradientMap()
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{
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int width = 256;
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int height = 256;
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int octaveCount = 8;
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Color gradientStart = Color.FromArgb(255, 0, 0);
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Color gradientEnd = Color.FromArgb(255, 0, 255);
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float[][] perlinNoise = GeneratePerlinNoise(width, height, octaveCount);
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Color[][] perlinImage = MapGradient(gradientStart, gradientEnd, perlinNoise);
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SaveImage(perlinImage, "perlin_noise.png");
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}
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public static float[][] AdjustLevels(float[][] image, float low, float high)
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{
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int width = image.Length;
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int height = image[0].Length;
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float[][] newImage = GetEmptyArray<float>(width, height);
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for (int i = 0; i < width; i++)
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{
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for (int j = 0; j < height; j++)
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{
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float col = image[i][j];
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if (col <= low)
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{
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newImage[i][j] = 0;
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}
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else if (col >= high)
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{
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newImage[i][j] = 1;
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}
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else
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{
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newImage[i][j] = (col - low) / (high - low);
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}
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}
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}
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return newImage;
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}
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private static Color[][][] AnimateTransition(Color[][] image1, Color[][] image2, int frameCount)
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{
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Color[][][] animation = new Color[frameCount][][];
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float low = 0;
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float increment = 1.0f / frameCount;
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float high = increment;
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float[][] perlinNoise = AdjustLevels(
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GeneratePerlinNoise(image1.Length, image1[0].Length, 9),
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0.2f, 0.8f);
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for (int i = 0; i < frameCount; i++)
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{
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AdjustLevels(perlinNoise, low, high);
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float[][] blendMask = AdjustLevels(perlinNoise, low, high);
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animation[i] = BlendImages(image1, image2, blendMask);
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//SaveImage(animation[i], "blend_animation" + i + ".png");
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SaveImage(MapToGrey(blendMask), "blend_mask" + i + ".png");
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low = high;
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high += increment;
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}
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return animation;
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}
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#endregion
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}
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