Added release build configs

.gitignore

@@ -3,3 +3,4 @@ obj/
 /packages/
 riderModule.iml
 /_ReSharper.Caches/
+publish/

.idea/.idea.SDFMapCreator/.idea/codeStyles/codeStyleConfig.xml

@@ -0,0 +1,5 @@
+<component name="ProjectCodeStyleConfiguration">
+  <state>
+    <option name="PREFERRED_PROJECT_CODE_STYLE" value="Default" />
+  </state>
+</component>

.run/Release Build Linux-x64.run.xml

@@ -0,0 +1,6 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="Release Build Linux-x64" type="DotNetFolderPublish" factoryName="Publish to folder">
+    <riderPublish configuration="Release" delete_existing_files="true" include_native_libs_for_self_extract="true" platform="Any CPU" produce_single_file="true" runtime="linux-x64" target_folder="$PROJECT_DIR$/SDFMapCreator/publish/linux-x64" target_framework="net8.0" uuid_high="-7972981449231152312" uuid_low="-5206031561210231144" />
+    <method v="2" />
+  </configuration>
+</component>

.run/Release Build Win-x64.run.xml

@@ -0,0 +1,6 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="Release Build Win-x64" type="DotNetFolderPublish" factoryName="Publish to folder">
+    <riderPublish configuration="Release" delete_existing_files="true" include_native_libs_for_self_extract="true" platform="Any CPU" produce_single_file="true" runtime="win-x64" target_folder="$PROJECT_DIR$/SDFMapCreator/publish/win-x64" target_framework="net8.0" uuid_high="-7972981449231152312" uuid_low="-5206031561210231144" />
+    <method v="2" />
+  </configuration>
+</component>

SDFMapCreator.sln.DotSettings

@@ -0,0 +1,19 @@
+<wpf:ResourceDictionary xml:space="preserve" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" xmlns:s="clr-namespace:System;assembly=mscorlib" xmlns:ss="urn:shemas-jetbrains-com:settings-storage-xaml" xmlns:wpf="http://schemas.microsoft.com/winfx/2006/xaml/presentation">
+	<s:String x:Key="/Default/CodeStyle/CSharpVarKeywordUsage/ForBuiltInTypes/@EntryValue">UseVar</s:String>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpCodeStyle/BRACES_FOR_LOCK/@EntryValue">NotRequired</s:String>
+	<s:Boolean x:Key="/Default/CodeStyle/CodeFormatting/CSharpCodeStyle/BRACES_REDUNDANT/@EntryValue">False</s:Boolean>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpCodeStyle/DEFAULT_PRIVATE_MODIFIER/@EntryValue">Implicit</s:String>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpCodeStyle/METHOD_OR_OPERATOR_BODY/@EntryValue">ExpressionBody</s:String>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpCodeStyle/MODIFIERS_ORDER/@EntryValue">public private protected internal file new static abstract virtual override readonly sealed extern unsafe volatile async required</s:String>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/PLACE_EXPR_METHOD_ON_SINGLE_LINE/@EntryValue">IF_OWNER_IS_SINGLE_LINE</s:String>
+	<s:Boolean x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/ALLOW_COMMENT_AFTER_LBRACE/@EntryValue">True</s:Boolean>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/ANONYMOUS_METHOD_DECLARATION_BRACES/@EntryValue">END_OF_LINE</s:String>
+	<s:Int64 x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/BLANK_LINES_AROUND_SINGLE_LINE_INVOCABLE/@EntryValue">1</s:Int64>
+	<s:Boolean x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/INDENT_NESTED_FOR_STMT/@EntryValue">True</s:Boolean>
+	<s:Boolean x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/WRAP_BEFORE_ARROW_WITH_EXPRESSIONS/@EntryValue">True</s:Boolean>
+	<s:Int64 x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/WRAP_LIMIT/@EntryValue">151</s:Int64>
+	<s:String x:Key="/Default/CodeStyle/CodeFormatting/CSharpFormat/WRAP_OBJECT_AND_COLLECTION_INITIALIZER_STYLE/@EntryValue">WRAP_IF_LONG</s:String>
+	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ECSharpKeepExistingMigration/@EntryIndexedValue">True</s:Boolean>
+	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ECSharpPlaceEmbeddedOnSameLineMigration/@EntryIndexedValue">True</s:Boolean>
+	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ECSharpUseContinuousIndentInsideBracesMigration/@EntryIndexedValue">True</s:Boolean>
+	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ESettingsUpgrade_002EMigrateBlankLinesAroundFieldToBlankLinesAroundProperty/@EntryIndexedValue">True</s:Boolean></wpf:ResourceDictionary>

SDFMapCreator/ImageUtil.cs

@@ -18,14 +18,14 @@ public static class ImageUtil {
 
     static T[,] ProcessPixelsRgba64<T>(this Image<Rgba64> image) where T : struct, IEquatable<T> {
         var max = 65535f;
-        int width = image.Width;
+        var width = image.Width;
-        int height = image.Height;
+        var height = image.Height;
         var result = new T[image.Width, image.Height];
         image.ProcessPixelRows(accessor => {
             //we use Y as the row index and X as the column index
-            for (int y = 0; y < height; y++) {
+            for (var y = 0; y < height; y++) {
                 var span = accessor.GetRowSpan(y);
-                for (int x = 0; x < width; x++) {
+                for (var x = 0; x < width; x++) {
                     switch (result) {
                         case float[,] f:
                             f[x, y] = span[x].R / max * (span[x].A / max);
@@ -37,7 +37,7 @@ public static class ImageUtil {
                             f[x, y] = new Vector3(span[x].R / max, span[x].G / max, span[x].B / max) * new Vector3(span[x].A / max);
                             break;
                         case Vector4[,] f:
-                            f[x, y] = new Vector4(span[x].R / max, span[x].G / max, span[x].B / max, span[x].A / max);
+                            f[x, y] = new(span[x].R / max, span[x].G / max, span[x].B / max, span[x].A / max);
                             break;
                     }
                 }
@@ -48,14 +48,14 @@ public static class ImageUtil {
 
     static T[,] ProcessPixelsRgb24<T>(this Image<Rgb24> image) where T : struct, IEquatable<T> {
         var max = 255f;
-        int width = image.Width;
+        var width = image.Width;
-        int height = image.Height;
+        var height = image.Height;
         var result = new T[image.Width, image.Height];
         image.ProcessPixelRows(accessor => {
             //we use Y as the row index and X as the column index
-            for (int y = 0; y < height; y++) {
+            for (var y = 0; y < height; y++) {
                 var span = accessor.GetRowSpan(y);
-                for (int x = 0; x < width; x++) {
+                for (var x = 0; x < width; x++) {
                     switch (result) {
                         case float[,] f:
                             f[x, y] = span[x].R / max;
@@ -78,14 +78,14 @@ public static class ImageUtil {
 
     static T[,] ProcessPixelsRgba32<T>(this Image<Rgba32> image) where T : struct, IEquatable<T> {
         var max = 255f;
-        int width = image.Width;
+        var width = image.Width;
-        int height = image.Height;
+        var height = image.Height;
         var result = new T[image.Width, image.Height];
         image.ProcessPixelRows(accessor => {
             //we use Y as the row index and X as the column index
-            for (int y = 0; y < height; y++) {
+            for (var y = 0; y < height; y++) {
                 var span = accessor.GetRowSpan(y);
-                for (int x = 0; x < width; x++) {
+                for (var x = 0; x < width; x++) {
                     switch (result) {
                         case float[,] f:
                             f[x, y] = span[x].R / max * (span[x].A / max);
@@ -97,7 +97,7 @@ public static class ImageUtil {
                             f[x, y] = new Vector3(span[x].R / max, span[x].G / max, span[x].B / max) * new Vector3(span[x].A / max);
                             break;
                         case Vector4[,] f:
-                            f[x, y] = new Vector4(span[x].R / max, span[x].G / max, span[x].B / max, span[x].A / max);
+                            f[x, y] = new(span[x].R / max, span[x].G / max, span[x].B / max, span[x].A / max);
                             break;
                     }
                 }
@@ -108,14 +108,14 @@ public static class ImageUtil {
 
     static T[,] ProcessPixelsRgb48<T>(this Image<Rgb48> image) where T : struct, IEquatable<T> {
         var max = 65535f;
-        int width = image.Width;
+        var width = image.Width;
-        int height = image.Height;
+        var height = image.Height;
         var result = new T[image.Width, image.Height];
         image.ProcessPixelRows(accessor => {
             //we use Y as the row index and X as the column index
-            for (int y = 0; y < height; y++) {
+            for (var y = 0; y < height; y++) {
                 var span = accessor.GetRowSpan(y);
-                for (int x = 0; x < width; x++) {
+                for (var x = 0; x < width; x++) {
                     switch (result) {
                         case float[,] f:
                             f[x, y] = span[x].R / max;
@@ -149,21 +149,21 @@ public static class ImageUtil {
         Console.Write($"Writing image {path}...");
         using Image<Rgb48> image = new(width, height);
         image.ProcessPixelRows(accessor => {
-            for (int y = 0; y < height; y++) {
+            for (var y = 0; y < height; y++) {
                 var span = accessor.GetRowSpan(y);
-                for (int x = 0; x < width; x++) {
+                for (var x = 0; x < width; x++) {
                     switch (array) {
                         case float[,] f:
-                            span[x] = new Rgb48((ushort)(f[x, y] * 65535), (ushort)(f[x, y] * 65535), (ushort)(f[x,y] * 65535));
+                            span[x] = new((ushort)(f[x, y] * 65535), (ushort)(f[x, y] * 65535), (ushort)(f[x, y] * 65535));
                             break;
                         case Vector2[,] f:
-                            span[x] = new Rgb48((ushort)(f[x,y].X * 65535), (ushort)(f[x,y].Y * 65535), 0);
+                            span[x] = new((ushort)(f[x, y].X * 65535), (ushort)(f[x, y].Y * 65535), 0);
                             break;
                         case Vector3[,] f:
-                            span[x] = new Rgb48((ushort)(f[x,y].X * 65535), (ushort)(f[x,y].Y * 65535), (ushort)(f[x,y].Z * 65535));
+                            span[x] = new((ushort)(f[x, y].X * 65535), (ushort)(f[x, y].Y * 65535), (ushort)(f[x, y].Z * 65535));
                             break;
                         case Vector4[,] f:
-                            span[x] = new Rgb48((ushort)(f[x,y].X * 65535), (ushort)(f[x,y].Y * 65535), (ushort)(f[x,y].Z * 65535));
+                            span[x] = new((ushort)(f[x, y].X * 65535), (ushort)(f[x, y].Y * 65535), (ushort)(f[x, y].Z * 65535));
                             break;
                     }
                 }
@@ -173,12 +173,12 @@ public static class ImageUtil {
         image.Save(path);
     }
 
-    private static void ImageData(SixLabors.ImageSharp.Image image1, string path) {
+    static void ImageData(SixLabors.ImageSharp.Image image1, string path) {
         Console.WriteLine(
             $"""
              Image file: {path}
              Resolution: {image1.Width}x{image1.Height}
-             Total Pixels: {image1.Width*image1.Height} |{"NaN"} channels, {image1.PixelType.BitsPerPixel/4} bits per channel
+             Total Pixels: {image1.Width * image1.Height} |{"NaN"} channels, {image1.PixelType.BitsPerPixel / 4} bits per channel
 
              """);
     }

SDFMapCreator/Program.cs

@@ -1,13 +1,14 @@
 using System.Diagnostics;
 using System.Numerics;
 using System.Runtime.CompilerServices;
-using SDFMapCreator;
 
-public class Program {
+namespace SDFMapCreator;
-    private const float MAX = 1f;
+
-    private const float MIN = 0f;
+public static class Program {
-    private static readonly int MAX_THREADS = Environment.ProcessorCount - 2;
+    const float MAX = 1f;
-    private static bool debug = true;
+    const float MIN = 0f;
+    static readonly int MAX_THREADS = Environment.ProcessorCount - 2;
+    static bool debug = true;
     static readonly ParallelOptions parallelOptions = new() { MaxDegreeOfParallelism = MAX_THREADS };
     static List<Image> Images = new();
     static List<MaskData> ImageMasks = new();
@@ -23,17 +24,19 @@ public class Program {
     public static void Main(string[] args) {
         Console.WriteLine("Reading images...");
 
-        if(debug) {
+        if (debug) {
             if (!Directory.Exists("Debug")) Directory.CreateDirectory("Debug");
             Console.WriteLine("Debug mode enabled.");
         }
 
+        
         var imagesPath = "images";
-        for (int i = 0; i < 8; i++) {
+        for (var i = 0; i < 8; i++) {
             var pixels = ImageUtil.LoadImage<Vector3>($"./{imagesPath}{Path.DirectorySeparatorChar}{i + 1:00}.png");
             Images.Add(new(pixels, pixels.GetLength(0), pixels.GetLength(1)));
         }
-/*
+
+        /*
         var pixels = ImageUtil.LoadImage<Vector3>($"./sphereempty.png");
         Images.Add(new(pixels, pixels.GetLength(0), pixels.GetLength(1)));
         pixels = ImageUtil.LoadImage<Vector3>($"./spherehalf.png");
@@ -53,8 +56,24 @@ public class Program {
         width = (uint)Images[0].Width;
         height = (uint)Images[0].Height;
         
+        // sum all images together
+        if(debug) Images[0].Pixels.SaveImage("Debug/Sum0.png");
+
+        for (int i = 1; i < Images.Count; i++) {
+            for (int x = 0; x < Images[i].Width; x++) {
+                for (int y = 0; y < Images[i].Height; y++) {
+                    Images[i].Pixels[x, y].X = MathF.Min(Images[i - 1].Pixels[x, y].X + Images[i].Pixels[x, y].X, MAX);
+                    Images[i].Pixels[x, y].Y = MathF.Min(Images[i - 1].Pixels[x, y].Y + Images[i].Pixels[x, y].X, MAX);
+                    Images[i].Pixels[x, y].Z = MathF.Min(Images[i - 1].Pixels[x, y].Z + Images[i].Pixels[x, y].X, MAX);
+                }
+            }
+
+            if(debug)Images[i].Pixels.SaveImage($"Debug/Sum{i}.png");
+        }
+        
+
         Console.WriteLine("Creating masks...");
-        for (int i = 0; i < Images.Count; i++) { //for each image pair, create a mask
+        for (var i = 0; i < Images.Count; i++) { //for each image pair, create a mask
             var selfMask = SelfMask(Images[i].Pixels);
             ImageMasks.Add(new(selfMask, Images[i], new()));
             if (debug) selfMask.SaveImage($"Debug/selfMask{i}.png");
@@ -62,7 +81,6 @@ public class Program {
             ConsoleUpdateLine($"Creating mask {i}...");
             var mask = GetABMask(Images[i].Pixels, Images[i + 1].Pixels);
             TransitionMasks.Add(new(mask, Images[i], Images[i + 1]));
-            if (debug) mask.SaveImage($"Debug/mask{i}.png");
         }
 
         //EdgeDetect all masks
@@ -71,7 +89,9 @@ public class Program {
             ConsoleUpdateLine($"Edge detecting mask {ImageMasks.IndexOf(mask)}...");
             EdgeDetect(mask);
         }
-        if (debug) for (int i = 0; i < TransitionMasks.Count; i++) ImageMasks[i].Mask.SaveImage($"Debug/mask{i}.png");
+        if (debug)
+            for (var i = 0; i < TransitionMasks.Count; i++)
+                ImageMasks[i].Mask.SaveImage($"Debug/mask{i}.png");
 
         Console.WriteLine("Creating SDFs...");
         for (var i = 0; i < ImageMasks.Count; i++) {
@@ -91,11 +111,12 @@ public class Program {
         // generate final image
         var finalImage = new Vector3[width, height];
         var currStep = 0f;
-        var stepIncrement = MAX / (Gradients.Count);
+        var stepIncrement = MAX / Gradients.Count;
 
-        for (int x = 0; x < width; x++)
+        
-            for (int y = 0; y < height; y++)
+        for (var x = 0; x < width; x++)
-                finalImage[x, y] = new Vector3(Images[0].Pixels[x, y].X);
+            for (var y = 0; y < height; y++)
+                finalImage[x, y] = new(ImageMasks[0].Mask[x, y].X != 0 || ImageMasks[0].Mask[x, y].Y > 0 ? MAX : MIN);
         
         for (var i = 0; i < Gradients.Count; i++) {
             var mask = ImageMasks[i + 1];
@@ -103,7 +124,7 @@ public class Program {
             Console.WriteLine($"Applying gradient {i}..., {currStep} -> {currStep + stepIncrement}");
             for (var x = 0; x < mask.Mask.GetLength(0); x++) {
                 for (var y = 0; y < mask.Mask.GetLength(1); y++) {
-                    if (gradient[x, y].X == 0) continue;
+                    if (mask.Mask[x,y].X == 0) continue;
                     var pixel = new Vector3(Remap(gradient[x, y].X, MIN, MAX, 1.0f - currStep,
                         1.0f - (currStep + stepIncrement)));
                     if (pixel.X > finalImage[x, y].X) finalImage[x, y] = pixel;
@@ -112,22 +133,25 @@ public class Program {
             currStep += stepIncrement;
         }
         
+        finalImage.SaveImage("Debug/Final.png");
+
         // apply directional blur
-        var iterations = 10;
+        var iterations = 1;
-        var radius = 3f;
+        var radius = 100f;
         var step = .5f;
         var sigma = 1f;
-        for (int i = 0; i < iterations; i++)
+        var totalMask = SelfMask(Images[^1].Pixels);
-        {
+        totalMask.SaveImage("Debug/TotalMask.png");
+        for (var i = 0; i < iterations; i++) {
             Console.WriteLine($"Applying directional blur {i + 1}/{iterations}...");
-            finalImage = DirectionalBlur(finalImage, ImageMasks[0].Mask, radius, step, sigma);
+            finalImage = DirectionalBlur(finalImage, totalMask, radius, step, sigma);
         }
 
-        finalImage.SaveImage("final.png");
+        finalImage.SaveImage("finalBlur.png");
         Console.WriteLine("Done!");
     }
 
-    private static void EdgeDetect(MaskData maskData) {
+    static void EdgeDetect(MaskData maskData) {
         var sw = new Stopwatch();
         sw.Start();
         Console.WriteLine("Running edge detection...");
@@ -141,11 +165,10 @@ public class Program {
 
         sw.Stop();
         Console.WriteLine(
-            $"\nEdge pixels: {maskData.Edges.Count} | {width*height / (sw.ElapsedMilliseconds + 1)} pixels/s\n Time: {sw.Elapsed.TotalSeconds:F4}s");
+            $"\nEdge pixels: {maskData.Edges.Count} | {width * height / (sw.ElapsedMilliseconds + 1)} pixels/s\n Time: {sw.Elapsed.TotalSeconds:F4}s");
     }
 
     static Vector3[,] Gradient(TransitionMaskData mask, SDFData sdfA, SDFData sdfB) {
-        int iterCount = 0;
         var sw = new Stopwatch();
         sw.Start();
         /*Vector3[,] temp = new Vector3[width, height];
@@ -172,40 +195,47 @@ public class Program {
         });*/
 
         kernels.Gradient(mask.Mask, sdfA.SDF, sdfB.SDF, out var temp);
-        Console.WriteLine($"Gradient Time: {sw.Elapsed.TotalSeconds:N4}s ({width*height / (float)sw.Elapsed.TotalSeconds:N0} pixels/s)");
+        Console.WriteLine($"Gradient Time: {sw.Elapsed.TotalSeconds:N4}s ({width * height / (float)sw.Elapsed.TotalSeconds:N0} pixels/s)");
         return temp;
     }
 
     static SDFData SDF(MaskData mask) {
-        int iterCount = 0;
         var sw = new Stopwatch();
         sw.Start();
-
         kernels.Sdf(mask.Edges.ToArray(), (int)width, (int)height, out var temp);
+        Console.WriteLine($"\nSDF Generation Time: {sw.Elapsed.TotalSeconds:N4}s ({width * height / sw.Elapsed.TotalSeconds:N0} pixels/s)");
 
-        Console.WriteLine($"\nSDF Generation Time: {sw.Elapsed.TotalSeconds:N4}s ({width*height / sw.Elapsed.TotalSeconds:N0} pixels/s)");
+        sw.Restart();
+        var absMax = 0f;
+        foreach (var pixel in temp) {
+            if (pixel.X > absMax) absMax = pixel.X;
+        }
+
+        Parallel.For(0, width * height, parallelOptions, (i) => {
+            //convert 1D index to 2D index
+            var x = (int)(i % width);
+            var y = (int)(i / width);
+            temp[x, y] = new(Remap(temp[x, y].X, 0, absMax, MIN, MAX));
+        });
+        sw.Stop();
+
+        Console.WriteLine(
+            $"SDF Normalization Time: {sw.Elapsed.TotalSeconds:N4}s ({width * height / sw.Elapsed.TotalSeconds:N0} pixels/s)");
 
         return new(temp);
     }
 
     static Vector3[,] DirectionalBlur(Vector3[,] image, Vector3[,] mask, float radius = 3f, float step = .5f, float sigma = 1f) {
-        var width = (uint)image.GetLength(0);
-        var height = (uint)image.GetLength(1);
-        var output = new Vector3[width, height];
-        
         var sw = new Stopwatch();
         sw.Start();
-        
         kernels.DirectionalBlur(image, mask, out var temp, radius, step, sigma);
-        
         Console.WriteLine(
             $"Directional Blur Time: {sw.Elapsed.TotalSeconds:N4}s ({width * height / sw.Elapsed.TotalSeconds:N0} pixels/s)");
-        
         return temp;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
-    private static float EuclideanDistance(Vector2 a, Vector2 b) =>
+    static float EuclideanDistance(Vector2 a, Vector2 b) =>
         MathF.Sqrt(MathF.Pow(a.X - b.X, 2) + MathF.Pow(a.Y - b.Y, 2));
 
     static Vector3[,] GetABMask(Vector3[,] A, Vector3[,] B) {
@@ -222,7 +252,7 @@ public class Program {
         where T : INumber<T>, IMultiplyOperators<T, float, T>, IAdditionOperators<T, T, T>
         => a * (1 - t) + b * t;
 
-    public static T Remap<T>(T value, T min, T max, T newMin, T newMax)
+    static T Remap<T>(T value, T min, T max, T newMin, T newMax)
         where T : INumber<T>, ISubtractionOperators<T, T, T>, IMultiplyOperators<T, T, T>, IAdditionOperators<T, T, T>
         => (value - min) / (max - min) * (newMax - newMin) + newMin;
 }

SDFMapCreator/Records.cs

@@ -3,10 +3,12 @@ using System.Numerics;
 namespace SDFMapCreator;
 
 public record Image(Vector3[,] Pixels, int Width, int Height);
+
 public record MaskData(Vector3[,] Mask, Image Image, List<Vector2> Edges) {
     public Vector3[,] Mask { get; set; } = Mask;
     public List<Vector2> Edges { get; set; } = Edges;
 }
 
 public record SDFData(Vector3[,] SDF);
+
 public record TransitionMaskData(Vector3[,] Mask, Image ImageA, Image ImageB);

SDFMapCreator/SDFMapCreator.csproj

@@ -8,67 +8,67 @@
     </PropertyGroup>
 
     <ItemGroup>
-      <PackageReference Include="ILGPU" Version="1.5.2" />
+        <PackageReference Include="ILGPU" Version="1.5.2"/>
-      <PackageReference Include="ILGPU.Algorithms" Version="1.5.2" />
+        <PackageReference Include="ILGPU.Algorithms" Version="1.5.2"/>
-      <PackageReference Include="SixLabors.ImageSharp" Version="3.1.7" />
+        <PackageReference Include="SixLabors.ImageSharp" Version="3.1.7"/>
-      <PackageReference Include="System.Numerics.Vectors" Version="4.6.1" />
+        <PackageReference Include="System.Numerics.Vectors" Version="4.6.1"/>
     </ItemGroup>
 
     <ItemGroup>
-      <None Update="1.png">
+        <None Update="1.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="2.png">
+        <None Update="2.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="TestPattern.png">
+        <None Update="TestPattern.png">
-        <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+            <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\01.png">
+        <None Update="images\01.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\02.png">
+        <None Update="images\02.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\03.png">
+        <None Update="images\03.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\04.png">
+        <None Update="images\04.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\05.png">
+        <None Update="images\05.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\06.png">
+        <None Update="images\06.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\07.png">
+        <None Update="images\07.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="images\08.png">
+        <None Update="images\08.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="spherecut.png">
+        <None Update="spherecut.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="spherefull.png">
+        <None Update="spherefull.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="spherehalf.png">
+        <None Update="spherehalf.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="spherehalf32.png">
+        <None Update="spherehalf32.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="spherefull32.png">
+        <None Update="spherefull32.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="spherecut32.png">
+        <None Update="spherecut32.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
-      <None Update="sphereempty.png">
+        <None Update="sphereempty.png">
-        <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+            <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-      </None>
+        </None>
     </ItemGroup>
 
 </Project>

SDFMapCreator/SdfKernels.Kernels.cs

@@ -5,63 +5,68 @@ using ILGPU.Runtime;
 namespace SDFMapCreator;
 
 public partial class SdfKernels {
-    private static void SelfMaskKernel(Index2D index, ArrayView2D<Vector3, Stride2D.DenseX> input, ArrayView2D<Vector3, Stride2D.DenseX> mask) {
+    
-        int x = index.X;
+    private const float LUMA_THRESHOLD = 0.0f;
-        int y = index.Y;
+    static void SelfMaskKernel(Index2D index, ArrayView2D<Vector3, Stride2D.DenseX> input, ArrayView2D<Vector3, Stride2D.DenseX> mask) {
-        Vector3 value = input[x, y];
+        var x = index.X;
-        float lumaA = (value.X + value.Y + value.Z)/3f;
+        var y = index.Y;
-        float r = lumaA > 0.99f ? 1f : 0f;
+        var value = input[x, y];
-        mask[x,y] = new (r, 0f, 0f);
+        var lumaA = value.X;
+        var r = lumaA > LUMA_THRESHOLD ? 1f : 0f;
+        mask[x, y] = new(r, 0f, 0f);
     }
 
-    private static void ABMaskKernel(Index2D index,
+    static void ABMaskKernel(Index2D index,
         ArrayView2D<Vector3, Stride2D.DenseX> A,
         ArrayView2D<Vector3, Stride2D.DenseX> B,
         ArrayView2D<Vector3, Stride2D.DenseX> mask
     ) {
-        int x = index.X;
+        var x = index.X;
-        int y = index.Y;
+        var y = index.Y;
-        Vector3 valueA = A[x, y];
+        var valueA = A[x, y];
-        Vector3 valueB = B[x, y];
+        var valueB = B[x, y];
-        float lumaA = (valueA.X + valueA.Y + valueA.Z) / 3f;
+        var lumaA = valueA.X;
-        float lumaB = (valueB.X + valueB.Y + valueB.Z) / 3f;
+        var lumaB = valueB.X;
-        float r = lumaA > 0.99f && lumaB > 0.99f ? 1f : 0f;
+        var r = lumaB - lumaA > LUMA_THRESHOLD ? 1f : 0f;
-        mask[x, y] = new (r, 0f, 0f);
+        mask[x, y] = new(r, 0f, 0f);
     }
 
-    private static void EdgeKernel(Index2D index,
+    static void EdgeKernel(Index2D index,
         ArrayView2D<Vector3, Stride2D.DenseX> mask,
         uint width, uint height
     ) { // early exit if not on mask
-       if (mask[index].X == 0f) return;
+        if (mask[index].X == 0f) return;
-       int x = index.X;
+        var x = index.X;
-       int y = index.Y;
+        var y = index.Y;
-       //if we are on the edge of the image, return false
+        //if we are on the edge of the image, return false
-       if (x == 0 || y == 0 || x == width - 1 || y == height - 1) return;
+        if (x == 0 || y == 0 || x == width - 1 || y == height - 1) {
+            mask[index].Y = 1f; //set the edge flag
+            return;
+        }
 
-       //check the 3x3 kernel
+        //check the 3x3 kernel
-       for (int xi = x - 1; xi <= x + 1; xi++) {
+        for (var xi = x - 1; xi <= x + 1; xi++) {
-           for (int yi = y - 1; yi <= y + 1; yi++) {
+            for (var yi = y - 1; yi <= y + 1; yi++) {
-               if (xi < 0 || xi >= width || yi < 0 || yi >= height)
+                if (xi < 0 || xi >= width || yi < 0 || yi >= height)
-                   continue; //skip out of bounds pixels
+                    continue; //skip out of bounds pixels
-               if (mask[xi, yi].X == 0f)
+                if (mask[xi, yi].X == 0f)
-                   mask[index].Y = 1f; //if we find a black pixel, return true
+                    mask[index].Y = 1f; //if we find a black pixel, return true
-           }
+            }
-       }
+        }
     }
 
-    private static void SdfKernel(Index2D index,
+    static void SdfKernel(Index2D index,
         ArrayView2D<Vector3, Stride2D.DenseX> sdf,
         ArrayView1D<Vector2, Stride1D.Dense> edges,
         int width, int height
     ) {
         Vector2 pos = new((float)index.X / width, (float)index.Y / height);
-        float minDist = 2f;
+        var minDist = 2f;
-        int count = edges.IntExtent.Size;
+        var count = edges.IntExtent.Size;
 
-        for (int i = 0; i < count; i++) {
+        for (var i = 0; i < count; i++) {
-            Vector2 edgeNrm = new (edges[i].X/width, edges[i].Y/height);
+            Vector2 edgeNrm = new(edges[i].X / width, edges[i].Y / height);
-            float dist = Vector2.Distance(pos, edgeNrm);
+            var dist = Vector2.Distance(pos, edgeNrm);
             if (dist < minDist) minDist = dist;
         }
 
@@ -70,47 +75,71 @@ public partial class SdfKernels {
         sdf[index] = new(minDist);
     }
 
-    private static void GradientKernel(Index2D index,
+    static void GradientKernel(Index2D index,
         ArrayView2D<Vector3, Stride2D.DenseX> mask,
         ArrayView2D<Vector3, Stride2D.DenseX> sdfa,
         ArrayView2D<Vector3, Stride2D.DenseX> sdfb,
         ArrayView2D<Vector3, Stride2D.DenseX> gradient
     ) { //early exit if not on mask
-        if(mask[index].X == 0f || mask[index].Y == 0f) return;
+        if (mask[index].X == 0f) return;
-        float a = sdfa[index].X; float b = sdfb[index].X;
+        var a = sdfa[index].X;
-        gradient[index] = new (a / (a + b));
+        var b = sdfb[index].X;
+        gradient[index] = new(a / (a + b));
+    }
 
-    private static void DirectionalBlurKernel(Index2D index,
+    static Vector3 SampleBilinear(ArrayView2D<Vector3, Stride2D.DenseX> image, float x, float y) {
+        int width = image.IntExtent.X;
+        int height = image.IntExtent.Y;
+        
+        var x0 = (int)x;
+        var y0 = (int)y;
+        var x1 = x0 + 1;
+        var y1 = y0 + 1;
+
+        if (x0 < 0 || x1 >= width || y0 < 0 || y1 >= height) return Vector3.Zero;
+
+        var a = new Vector2(x - x0, y - y0);
+        var b = new Vector2(1f - a.X, 1f - a.Y);
+        
+        return Vector3.Lerp(
+            Vector3.Lerp(image[x0, y0], image[x1, y0], a.X),
+            Vector3.Lerp(image[x0, y1], image[x1, y1], a.X),
+            a.Y
+        );
+    }
+    
+    static void DirectionalBlurKernel(Index2D index,
         ArrayView2D<Vector3, Stride2D.DenseX> image,
         ArrayView2D<Vector3, Stride2D.DenseX> mask,
         ArrayView2D<Vector3, Stride2D.DenseX> output,
         float radius, float step, float sigma,
         int width, int height
-    )
+    ) {
-    {
+        var x = index.X;
-        int x = index.X;
+        var y = index.Y;
-        int y = index.Y;
+        var value = image[x, y];
-        Vector3 value = image[x, y];
+        var maskValue = mask[x, y];
-        Vector3 maskValue = mask[x, y];
+        if (maskValue.X == 0f) {
-        if (maskValue.X == 0f)
-        {
             output[x, y] = value;
             return;
         }
 
         var gradient = Vector2.Zero;
         
-        for (int dx = -1; dx <= 1; dx++)
+        // calculate the gradient
-        {
+        for (int i = -1; i <= 1; i++) {
-            for (int dy = -1; dy <= 1; dy++)
+            if (x + i < 0 || x + i >= width || y + i < 0 || y + i >= height) continue;
-            {
+            gradient.X += i * image[x + i, y].X;
-                if (x + dx < 0 || x + dx >= width || y + dy < 0 || y + dy >= height) continue;
+            gradient.Y += i * image[x, y + i].X;
-                gradient += new Vector2(dx, dy) * image[x + dx, y + dy].X;
-            }
         }
         
-        if (gradient == Vector2.Zero)
+        /*
-        {
+        output[x, y] = new Vector3(float.Abs((gradient.X * 0.5f) + 0.5f),
+            float.Abs((gradient.Y * 0.5f) + 0.5f), 0.5f);
+        return;
+        */
+
+        if (gradient == Vector2.Zero) {
             output[x, y] = value;
             return;
         }
@@ -119,21 +148,20 @@ public partial class SdfKernels {
         float sum = 0;
 
         // now we follow the direction line and sample the image for length;
-        for (float l = -radius; l <= radius; l += step)
+        for (var l = -radius; l <= radius; l += step) {
-        {
+            var xOffset = (gradient.X * l);
-            int xOffset = (int)(gradient.X * l);
+            var yOffset = (gradient.Y * l);
-            int yOffset = (int)(gradient.Y * l);
+            var xSample = x + xOffset;
-            int xSample = x + xOffset;
+            var ySample = y + yOffset;
-            int ySample = y + yOffset;
 
             if (xSample < 0 || xSample >= width || ySample < 0 || ySample >= height) continue;
 
-            Vector3 sampleValue = image[xSample, ySample];
+            var sampleValue = SampleBilinear(image, xSample, ySample);
-            float weight = MathF.Exp(-l * l / (2f * sigma * sigma));
+            var weight = MathF.Exp(-(l * l) / (2f * sigma * sigma));
             output[x, y] += sampleValue * weight;
             sum += weight;
         }
 
-        output[x, y] /= sum;
+        output[x, y] = output[x, y] / sum;
     }
 }

SDFMapCreator/SdfKernels.cs

@@ -10,7 +10,7 @@ using ILGPU.Algorithms;
 namespace SDFMapCreator;
 
 public partial class SdfKernels {
-    private Context gpuContext;
+    Context gpuContext;
 
     public SdfKernels() {
         // Initialize the GPU context
@@ -24,40 +24,39 @@ public partial class SdfKernels {
 
         Console.WriteLine("Reading available accelerators (CUDA only)...");
         foreach (var device in gpuContext.GetCudaDevices()) {
-            using Accelerator accelerator = device.CreateAccelerator(gpuContext);
+            using var accelerator = device.CreateAccelerator(gpuContext);
             Console.WriteLine($"{GetInfoString(accelerator)}");
         }
 
         Console.WriteLine("Reading available accelerators (OpenCL only)...");
         foreach (var device in gpuContext.GetCLDevices()) {
-            using Accelerator accelerator = device.CreateAccelerator(gpuContext);
+            using var accelerator = device.CreateAccelerator(gpuContext);
             Console.WriteLine($"{GetInfoString(accelerator)}");
         }
 
         Console.WriteLine("Reading available accelerators (CPU only)...");
         foreach (var device in gpuContext.GetCPUDevices()) {
-            using Accelerator accelerator = device.CreateAccelerator(gpuContext);
+            using var accelerator = device.CreateAccelerator(gpuContext);
             Console.WriteLine($"{GetInfoString(accelerator)}");
         }
-        
     }
 
     public void SelfMask(Vector3[,] input, out Vector3[,] mask) {
-        var dev = gpuContext.GetPreferredDevice(preferCPU:false);
+        var dev = gpuContext.GetPreferredDevice(false);
-        int width = input.GetLength(0);
+        var width = input.GetLength(0);
-        int height = input.GetLength(1);
+        var height = input.GetLength(1);
         mask = new Vector3[width, height];
-        using Accelerator accelerator = dev.CreateAccelerator(gpuContext);
+        using var accelerator = dev.CreateAccelerator(gpuContext);
 
-        using var buffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var buffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         buffer.CopyFromCPU(input);
 
-        using var maskBuffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var maskBuffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
 
         var selfMaskKernel = accelerator.LoadAutoGroupedStreamKernel<Index2D, ArrayView2D<Vector3, Stride2D.DenseX>,
             ArrayView2D<Vector3, Stride2D.DenseX>>(SelfMaskKernel);
 
-        selfMaskKernel(new (width, height), buffer.View, maskBuffer.View);
+        selfMaskKernel(new(width, height), buffer.View, maskBuffer.View);
 
         accelerator.Synchronize();
 
@@ -65,26 +64,26 @@ public partial class SdfKernels {
     }
 
     public void ABMask(Vector3[,] A, Vector3[,] B, out Vector3[,] mask) {
-        var dev = gpuContext.GetPreferredDevice(preferCPU:false);
+        var dev = gpuContext.GetPreferredDevice(false);
-        int width = A.GetLength(0);
+        var width = A.GetLength(0);
-        int height = A.GetLength(1);
+        var height = A.GetLength(1);
         mask = new Vector3[width, height];
-        using Accelerator accelerator = dev.CreateAccelerator(gpuContext);
+        using var accelerator = dev.CreateAccelerator(gpuContext);
 
-        using var bufferA = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var bufferA = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         bufferA.CopyFromCPU(A);
 
-        using var bufferB = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var bufferB = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         bufferB.CopyFromCPU(B);
 
-        using var maskBuffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var maskBuffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
 
         var abMaskKernel = accelerator.LoadAutoGroupedStreamKernel<Index2D,
             ArrayView2D<Vector3, Stride2D.DenseX>,
             ArrayView2D<Vector3, Stride2D.DenseX>,
             ArrayView2D<Vector3, Stride2D.DenseX>>(ABMaskKernel);
 
-        abMaskKernel(new (width, height), bufferA.View, bufferB.View, maskBuffer.View);
+        abMaskKernel(new(width, height), bufferA.View, bufferB.View, maskBuffer.View);
 
         accelerator.Synchronize();
 
@@ -92,19 +91,19 @@ public partial class SdfKernels {
     }
 
     public void EdgeDetect(Vector3[,] mask, out Vector3[,] edge) {
-        var dev = gpuContext.GetPreferredDevice(preferCPU:false);
+        var dev = gpuContext.GetPreferredDevice(false);
-        int width = mask.GetLength(0);
+        var width = mask.GetLength(0);
-        int height = mask.GetLength(1);
+        var height = mask.GetLength(1);
         edge = new Vector3[width, height];
-        using Accelerator accelerator = dev.CreateAccelerator(gpuContext);
+        using var accelerator = dev.CreateAccelerator(gpuContext);
 
-        using var buffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var buffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         buffer.CopyFromCPU(mask);
 
         var edgeKernel = accelerator.LoadAutoGroupedStreamKernel<Index2D,
             ArrayView2D<Vector3, Stride2D.DenseX>, uint, uint>(EdgeKernel);
 
-        edgeKernel(new (width, height), buffer.View, (uint)width, (uint)height);
+        edgeKernel(new(width, height), buffer.View, (uint)width, (uint)height);
 
         accelerator.Synchronize();
 
@@ -112,10 +111,10 @@ public partial class SdfKernels {
     }
 
     public void Sdf(Vector2[] edges, int width, int height, out Vector3[,] sdf) {
-        var dev = gpuContext.GetPreferredDevice(preferCPU:false);
+        var dev = gpuContext.GetPreferredDevice(false);
-        using Accelerator accelerator = dev.CreateAccelerator(gpuContext);
+        using var accelerator = dev.CreateAccelerator(gpuContext);
 
-        using var buffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var buffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
 
         using var edgeBuffer = accelerator.Allocate1D<Vector2>(edges.Length);
         edgeBuffer.CopyFromCPU(edges);
@@ -125,7 +124,7 @@ public partial class SdfKernels {
             ArrayView1D<Vector2, Stride1D.Dense>,
             int, int>(SdfKernel);
 
-        sdfKernel(new (width, height), buffer.View, edgeBuffer.View, width, height);
+        sdfKernel(new(width, height), buffer.View, edgeBuffer.View, width, height);
 
         accelerator.Synchronize();
 
@@ -133,22 +132,22 @@ public partial class SdfKernels {
     }
 
     public void Gradient(Vector3[,] mask, Vector3[,] sdfa, Vector3[,] sdfb, out Vector3[,] gradient) {
-        var dev = gpuContext.GetPreferredDevice(preferCPU:false);
+        var dev = gpuContext.GetPreferredDevice(false);
-        int width = mask.GetLength(0);
+        var width = mask.GetLength(0);
-        int height = mask.GetLength(1);
+        var height = mask.GetLength(1);
         gradient = new Vector3[width, height];
-        using Accelerator accelerator = dev.CreateAccelerator(gpuContext);
+        using var accelerator = dev.CreateAccelerator(gpuContext);
 
-        using var bufferMask = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var bufferMask = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         bufferMask.CopyFromCPU(mask);
 
-        using var bufferSdfa = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var bufferSdfa = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         bufferSdfa.CopyFromCPU(sdfa);
 
-        using var bufferSdfb = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var bufferSdfb = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         bufferSdfb.CopyFromCPU(sdfb);
 
-        using var bufferGradient = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var bufferGradient = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
 
         var gradientKernel = accelerator.LoadAutoGroupedStreamKernel<Index2D,
             ArrayView2D<Vector3, Stride2D.DenseX>,
@@ -156,26 +155,28 @@ public partial class SdfKernels {
             ArrayView2D<Vector3, Stride2D.DenseX>,
             ArrayView2D<Vector3, Stride2D.DenseX>>(GradientKernel);
 
-        gradientKernel(new (width, height), bufferMask.View, bufferSdfa.View, bufferSdfb.View, bufferGradient.View);
+        gradientKernel(new(width, height), bufferMask.View, bufferSdfa.View, bufferSdfb.View, bufferGradient.View);
 
         accelerator.Synchronize();
 
         gradient = bufferGradient.GetAsArray2D();
+    }
 
-    public void DirectionalBlur(Vector3[,] image, Vector3[,] mask, out Vector3[,] output, float radius = 3f, float step = .5f, float sigma = 1f) {
+    public void DirectionalBlur(Vector3[,] image, Vector3[,] mask, out Vector3[,] output, float radius = 3f,
-        var dev = gpuContext.GetPreferredDevice(preferCPU:false);
+        float step = .5f, float sigma = 1f) {
-        int width = image.GetLength(0);
+        var dev = gpuContext.GetPreferredDevice(false);
-        int height = image.GetLength(1);
+        var width = image.GetLength(0);
+        var height = image.GetLength(1);
         output = new Vector3[width, height];
-        using Accelerator accelerator = dev.CreateAccelerator(gpuContext);
+        using var accelerator = dev.CreateAccelerator(gpuContext);
 
-        using var imageBuffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var imageBuffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         imageBuffer.CopyFromCPU(image);
 
-        using var maskBuffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var maskBuffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
         maskBuffer.CopyFromCPU(mask);
 
-        using var outputBuffer = accelerator.Allocate2DDenseX<Vector3>(new (width, height));
+        using var outputBuffer = accelerator.Allocate2DDenseX<Vector3>(new(width, height));
 
         var blurKernel = accelerator.LoadAutoGroupedStreamKernel<Index2D,
             ArrayView2D<Vector3, Stride2D.DenseX>,
@@ -183,7 +184,7 @@ public partial class SdfKernels {
             ArrayView2D<Vector3, Stride2D.DenseX>,
             float, float, float, int, int>(DirectionalBlurKernel);
 
-        blurKernel(new (width, height), imageBuffer.View, maskBuffer.View, outputBuffer.View, 
+        blurKernel(new(width, height), imageBuffer.View, maskBuffer.View, outputBuffer.View,
             radius, step, sigma, width, height);
 
         accelerator.Synchronize();
@@ -191,9 +192,8 @@ public partial class SdfKernels {
         output = outputBuffer.GetAsArray2D();
     }
 
-    private static string GetInfoString(Accelerator a)
+    static string GetInfoString(Accelerator a) {
-    {
+        var infoString = new StringWriter();
-        StringWriter infoString = new StringWriter();
         a.PrintInformation(infoString);
         return infoString.ToString();
     }