mirror of https://github.com/SixLabors/ImageSharp
br3aker
4 years ago
committed by
GitHub
GitHub
44 changed files with 1261 additions and 310 deletions
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// Copyright (c) Six Labors.
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// Licensed under the Apache License, Version 2.0.
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namespace SixLabors.ImageSharp.Processing.Processors.Convolution |
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{ |
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/// <summary>
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/// Wrapping mode for the border pixels in convolution processing.
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/// </summary>
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public enum BorderWrappingMode : byte |
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{ |
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/// <summary>Repeat the border pixel value: aaaaaa|abcdefgh|hhhhhhh</summary>
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Repeat = 0, |
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/// <summary>Take values from the opposite edge: cdefgh|abcdefgh|abcdefg</summary>
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Wrap = 1, |
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/// <summary>Mirror the last few border values: fedcba|abcdefgh|hgfedcb</summary>
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/// <remarks>This Mode is similar to <see cref="Bounce"/>, but here the very border pixel is repeated.</remarks>
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Mirror = 2, |
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/// <summary>Bounce off the border: fedcb|abcdefgh|gfedcb</summary>
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/// <remarks>This Mode is similar to <see cref="Mirror"/>, but here the very border pixel is not repeated.</remarks>
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Bounce = 3 |
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} |
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} |
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// Copyright (c) Six Labors.
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// Licensed under the Apache License, Version 2.0.
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using System; |
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using System.IO; |
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using SixLabors.ImageSharp.Formats.Jpeg; |
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using SixLabors.ImageSharp.PixelFormats; |
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using Xunit; |
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namespace SixLabors.ImageSharp.Tests.Formats.Jpg |
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{ |
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[Trait("Format", "Jpg")] |
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public partial class JpegEncoderTests |
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{ |
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[Theory] |
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[WithFile(TestImages.Jpeg.Issues.ValidExifArgumentNullExceptionOnEncode, PixelTypes.Rgba32)] |
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public void Encode_WithValidExifProfile_DoesNotThrowException<TPixel>(TestImageProvider<TPixel> provider) |
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where TPixel : unmanaged, IPixel<TPixel> |
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{ |
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Exception ex = Record.Exception(() => |
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{ |
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var encoder = new JpegEncoder(); |
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var stream = new MemoryStream(); |
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using Image<TPixel> image = provider.GetImage(JpegDecoder); |
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image.Save(stream, encoder); |
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}); |
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Assert.Null(ex); |
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} |
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} |
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} |
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// Copyright (c) Six Labors.
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// Licensed under the Apache License, Version 2.0.
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using SixLabors.ImageSharp.Processing.Processors.Convolution; |
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using Xunit; |
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namespace SixLabors.ImageSharp.Tests.Processing.Convolution |
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{ |
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[Trait("Category", "Processors")] |
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public class KernelSamplingMapTest |
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{ |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7RepeatBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Repeat; |
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int[] expected = |
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{ |
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0, 0, 0, 1, 2, |
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0, 0, 1, 2, 3, |
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0, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 6, |
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4, 5, 6, 6, 6, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7BounceBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Bounce; |
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int[] expected = |
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{ |
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2, 1, 0, 1, 2, |
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1, 0, 1, 2, 3, |
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0, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 5, |
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4, 5, 6, 5, 4, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7MirrorBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Mirror; |
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int[] expected = |
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{ |
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1, 0, 0, 1, 2, |
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0, 0, 1, 2, 3, |
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0, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 6, |
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4, 5, 6, 6, 5, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7WrapBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Wrap; |
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int[] expected = |
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{ |
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5, 6, 0, 1, 2, |
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6, 0, 1, 2, 3, |
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0, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 0, |
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4, 5, 6, 0, 1, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image9x9BounceBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(1, 1, 9, 9); |
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var mode = BorderWrappingMode.Bounce; |
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int[] expected = |
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{ |
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3, 2, 1, 2, 3, |
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2, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 9, |
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6, 7, 8, 9, 8, |
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7, 8, 9, 8, 7, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image9x9MirrorBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(1, 1, 9, 9); |
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var mode = BorderWrappingMode.Mirror; |
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int[] expected = |
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{ |
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2, 1, 1, 2, 3, |
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1, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 9, |
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6, 7, 8, 9, 9, |
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7, 8, 9, 9, 8, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image9x9WrapBorder() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(1, 1, 9, 9); |
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var mode = BorderWrappingMode.Wrap; |
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int[] expected = |
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{ |
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8, 9, 1, 2, 3, |
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9, 1, 2, 3, 4, |
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1, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 9, |
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6, 7, 8, 9, 1, |
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7, 8, 9, 1, 2, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7RepeatBorderTile() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Repeat; |
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int[] expected = |
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{ |
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2, 2, 2, 3, 4, |
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2, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 8, |
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6, 7, 8, 8, 8, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7BounceBorderTile() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Bounce; |
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int[] expected = |
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{ |
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4, 3, 2, 3, 4, |
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3, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 7, |
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6, 7, 8, 7, 6, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7MirrorBorderTile() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Mirror; |
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int[] expected = |
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{ |
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3, 2, 2, 3, 4, |
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2, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 8, |
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6, 7, 8, 8, 7, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel5Image7x7WrapBorderTile() |
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{ |
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var kernelSize = new Size(5, 5); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Wrap; |
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int[] expected = |
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{ |
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7, 8, 2, 3, 4, |
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8, 2, 3, 4, 5, |
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2, 3, 4, 5, 6, |
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3, 4, 5, 6, 7, |
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4, 5, 6, 7, 8, |
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5, 6, 7, 8, 2, |
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6, 7, 8, 2, 3, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x7RepeatBorder() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Repeat; |
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int[] expected = |
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{ |
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0, 0, 1, |
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0, 1, 2, |
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1, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 6, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x7BounceBorder() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Bounce; |
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int[] expected = |
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{ |
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1, 0, 1, |
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0, 1, 2, |
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1, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 5, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x7MirrorBorder() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Mirror; |
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int[] expected = |
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{ |
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0, 0, 1, |
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0, 1, 2, |
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1, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 6, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x7WrapBorder() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(0, 0, 7, 7); |
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var mode = BorderWrappingMode.Wrap; |
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int[] expected = |
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{ |
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6, 0, 1, |
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0, 1, 2, |
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1, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 0, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x7RepeatBorderTile() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Repeat; |
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int[] expected = |
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{ |
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2, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 7, |
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6, 7, 8, |
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7, 8, 8, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7BounceBorderTile() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Bounce; |
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int[] expected = |
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{ |
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3, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 7, |
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6, 7, 8, |
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7, 8, 7, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7MirrorBorderTile() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Mirror; |
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int[] expected = |
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{ |
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2, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 7, |
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6, 7, 8, |
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7, 8, 8, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x7WrapBorderTile() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(2, 2, 7, 7); |
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var mode = BorderWrappingMode.Wrap; |
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int[] expected = |
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{ |
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8, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 7, |
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6, 7, 8, |
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7, 8, 2, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
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} |
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|
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[Fact] |
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public void KernalSamplingMap_Kernel3Image7x5WrapBorderTile() |
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{ |
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var kernelSize = new Size(3, 3); |
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var bounds = new Rectangle(2, 2, 7, 5); |
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var mode = BorderWrappingMode.Wrap; |
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int[] xExpected = |
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{ |
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8, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 7, |
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6, 7, 8, |
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7, 8, 2, |
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}; |
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int[] yExpected = |
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{ |
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6, 2, 3, |
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2, 3, 4, |
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3, 4, 5, |
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4, 5, 6, |
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5, 6, 2, |
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}; |
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this.AssertOffsets(kernelSize, bounds, mode, mode, xExpected, yExpected); |
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} |
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private void AssertOffsets(Size kernelSize, Rectangle bounds, BorderWrappingMode xBorderMode, BorderWrappingMode yBorderMode, int[] xExpected, int[] yExpected) |
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{ |
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// Arrange
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var map = new KernelSamplingMap(Configuration.Default.MemoryAllocator); |
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// Act
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map.BuildSamplingOffsetMap(kernelSize.Height, kernelSize.Width, bounds, xBorderMode, yBorderMode); |
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// Assert
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var xOffsets = map.GetColumnOffsetSpan().ToArray(); |
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Assert.Equal(xExpected, xOffsets); |
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var yOffsets = map.GetRowOffsetSpan().ToArray(); |
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Assert.Equal(yExpected, yOffsets); |
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} |
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} |
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} |
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@ -0,0 +1,3 @@ |
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version https://git-lfs.github.com/spec/v1 |
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oid sha256:4d41a41180a3371d0c4a724b40a4c86f6f975dab6be9da96964a484818770394 |
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size 30715 |
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@ -0,0 +1,3 @@ |
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version https://git-lfs.github.com/spec/v1 |
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oid sha256:d478beff34179fda26238a44434607c276f55438ee96824c5af8c0188d358d8d |
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size 234 |
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@ -1,3 +1,3 @@ |
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version https://git-lfs.github.com/spec/v1 |
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oid sha256:fdf4e9b20af4168f4177d33f7f502906343bbaaae2af9b90e1531bd4452b317b |
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size 40765 |
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oid sha256:5c53967bfefcfece8cd4411740c1c394e75864ca61a7a9751df3b28e727c0205 |
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size 68646 |
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|
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@ -0,0 +1,3 @@ |
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version https://git-lfs.github.com/spec/v1 |
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oid sha256:fdf4e9b20af4168f4177d33f7f502906343bbaaae2af9b90e1531bd4452b317b |
|||
size 40765 |
|||
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