mirror of https://github.com/SixLabors/ImageSharp
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
265 lines
10 KiB
265 lines
10 KiB
// Copyright (c) Six Labors.
|
|
// Licensed under the Apache License, Version 2.0.
|
|
|
|
using System;
|
|
using System.Numerics;
|
|
using System.Reflection;
|
|
using SixLabors.ImageSharp.Advanced;
|
|
using SixLabors.ImageSharp.PixelFormats;
|
|
using SixLabors.ImageSharp.Processing;
|
|
using SixLabors.ImageSharp.Processing.Processors.Transforms;
|
|
using SixLabors.ImageSharp.Tests.TestUtilities.ImageComparison;
|
|
|
|
using Xunit;
|
|
using Xunit.Abstractions;
|
|
|
|
namespace SixLabors.ImageSharp.Tests.Processing.Transforms
|
|
{
|
|
public class AffineTransformTests
|
|
{
|
|
private readonly ITestOutputHelper output;
|
|
|
|
// 1 byte difference on one color component.
|
|
private static readonly ImageComparer ValidatorComparer = ImageComparer.TolerantPercentage(0.0134F, 3);
|
|
|
|
/// <summary>
|
|
/// angleDeg, sx, sy, tx, ty
|
|
/// </summary>
|
|
public static readonly TheoryData<float, float, float, float, float> TransformValues
|
|
= new TheoryData<float, float, float, float, float>
|
|
{
|
|
{ 0, 1, 1, 0, 0 },
|
|
{ 50, 1, 1, 0, 0 },
|
|
{ 0, 1, 1, 20, 10 },
|
|
{ 50, 1, 1, 20, 10 },
|
|
{ 0, 1, 1, -20, -10 },
|
|
{ 50, 1, 1, -20, -10 },
|
|
{ 50, 1.5f, 1.5f, 0, 0 },
|
|
{ 50, 1.1F, 1.3F, 30, -20 },
|
|
{ 0, 2f, 1f, 0, 0 },
|
|
{ 0, 1f, 2f, 0, 0 },
|
|
};
|
|
|
|
public static readonly TheoryData<string> ResamplerNames = new TheoryData<string>
|
|
{
|
|
nameof(KnownResamplers.Bicubic),
|
|
nameof(KnownResamplers.Box),
|
|
nameof(KnownResamplers.CatmullRom),
|
|
nameof(KnownResamplers.Hermite),
|
|
nameof(KnownResamplers.Lanczos2),
|
|
nameof(KnownResamplers.Lanczos3),
|
|
nameof(KnownResamplers.Lanczos5),
|
|
nameof(KnownResamplers.Lanczos8),
|
|
nameof(KnownResamplers.MitchellNetravali),
|
|
nameof(KnownResamplers.NearestNeighbor),
|
|
nameof(KnownResamplers.Robidoux),
|
|
nameof(KnownResamplers.RobidouxSharp),
|
|
nameof(KnownResamplers.Spline),
|
|
nameof(KnownResamplers.Triangle),
|
|
nameof(KnownResamplers.Welch),
|
|
};
|
|
|
|
public static readonly TheoryData<string> Transform_DoesNotCreateEdgeArtifacts_ResamplerNames =
|
|
new TheoryData<string>
|
|
{
|
|
nameof(KnownResamplers.NearestNeighbor),
|
|
nameof(KnownResamplers.Triangle),
|
|
nameof(KnownResamplers.Bicubic),
|
|
nameof(KnownResamplers.Lanczos8),
|
|
};
|
|
|
|
public AffineTransformTests(ITestOutputHelper output) => this.output = output;
|
|
|
|
/// <summary>
|
|
/// The output of an "all white" image should be "all white" or transparent, regardless of the transformation and the resampler.
|
|
/// </summary>
|
|
/// <typeparam name="TPixel">The pixel type of the image.</typeparam>
|
|
[Theory]
|
|
[WithSolidFilledImages(nameof(Transform_DoesNotCreateEdgeArtifacts_ResamplerNames), 5, 5, 255, 255, 255, 255, PixelTypes.Rgba32)]
|
|
public void Transform_DoesNotCreateEdgeArtifacts<TPixel>(TestImageProvider<TPixel> provider, string resamplerName)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
IResampler resampler = GetResampler(resamplerName);
|
|
using (Image<TPixel> image = provider.GetImage())
|
|
{
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendRotationDegrees(30);
|
|
|
|
image.Mutate(c => c.Transform(builder, resampler));
|
|
image.DebugSave(provider, resamplerName);
|
|
|
|
VerifyAllPixelsAreWhiteOrTransparent(image);
|
|
}
|
|
}
|
|
|
|
[Theory]
|
|
[WithTestPatternImages(nameof(TransformValues), 100, 50, PixelTypes.Rgba32)]
|
|
public void Transform_RotateScaleTranslate<TPixel>(
|
|
TestImageProvider<TPixel> provider,
|
|
float angleDeg,
|
|
float sx,
|
|
float sy,
|
|
float tx,
|
|
float ty)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
using (Image<TPixel> image = provider.GetImage())
|
|
{
|
|
image.DebugSave(provider, $"_original");
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendRotationDegrees(angleDeg)
|
|
.AppendScale(new SizeF(sx, sy))
|
|
.AppendTranslation(new PointF(tx, ty));
|
|
|
|
this.PrintMatrix(builder.BuildMatrix(image.Size()));
|
|
|
|
image.Mutate(i => i.Transform(builder, KnownResamplers.Bicubic));
|
|
|
|
FormattableString testOutputDetails = $"R({angleDeg})_S({sx},{sy})_T({tx},{ty})";
|
|
image.DebugSave(provider, testOutputDetails);
|
|
image.CompareToReferenceOutput(ValidatorComparer, provider, testOutputDetails);
|
|
}
|
|
}
|
|
|
|
[Theory]
|
|
[WithTestPatternImages(96, 96, PixelTypes.Rgba32, 50, 0.8f)]
|
|
public void Transform_RotateScale_ManuallyCentered<TPixel>(TestImageProvider<TPixel> provider, float angleDeg, float s)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
using (Image<TPixel> image = provider.GetImage())
|
|
{
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendRotationDegrees(angleDeg)
|
|
.AppendScale(new SizeF(s, s));
|
|
|
|
image.Mutate(i => i.Transform(builder, KnownResamplers.Bicubic));
|
|
|
|
FormattableString testOutputDetails = $"R({angleDeg})_S({s})";
|
|
image.DebugSave(provider, testOutputDetails);
|
|
image.CompareToReferenceOutput(ValidatorComparer, provider, testOutputDetails);
|
|
}
|
|
}
|
|
|
|
public static readonly TheoryData<int, int, int, int> Transform_IntoRectangle_Data =
|
|
new TheoryData<int, int, int, int>
|
|
{
|
|
{ 0, 0, 10, 10 },
|
|
{ 0, 0, 5, 10 },
|
|
{ 0, 0, 10, 5 },
|
|
{ 5, 0, 5, 10 },
|
|
{ -5, -5, 20, 20 }
|
|
};
|
|
|
|
/// <summary>
|
|
/// Testing transforms using custom source rectangles:
|
|
/// https://github.com/SixLabors/ImageSharp/pull/386#issuecomment-357104963
|
|
/// </summary>
|
|
/// <typeparam name="TPixel">The pixel type of the image.</typeparam>
|
|
[Theory]
|
|
[WithTestPatternImages(96, 48, PixelTypes.Rgba32)]
|
|
public void Transform_FromSourceRectangle1<TPixel>(TestImageProvider<TPixel> provider)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
var rectangle = new Rectangle(48, 0, 48, 24);
|
|
|
|
using (Image<TPixel> image = provider.GetImage())
|
|
{
|
|
image.DebugSave(provider, $"_original");
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendScale(new SizeF(2, 1.5F));
|
|
|
|
image.Mutate(i => i.Transform(rectangle, builder, KnownResamplers.Spline));
|
|
|
|
image.DebugSave(provider);
|
|
image.CompareToReferenceOutput(ValidatorComparer, provider);
|
|
}
|
|
}
|
|
|
|
[Theory]
|
|
[WithTestPatternImages(96, 48, PixelTypes.Rgba32)]
|
|
public void Transform_FromSourceRectangle2<TPixel>(TestImageProvider<TPixel> provider)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
var rectangle = new Rectangle(0, 24, 48, 24);
|
|
|
|
using (Image<TPixel> image = provider.GetImage())
|
|
{
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendScale(new SizeF(1F, 2F));
|
|
|
|
image.Mutate(i => i.Transform(rectangle, builder, KnownResamplers.Spline));
|
|
|
|
image.DebugSave(provider);
|
|
image.CompareToReferenceOutput(ValidatorComparer, provider);
|
|
}
|
|
}
|
|
|
|
[Theory]
|
|
[WithTestPatternImages(nameof(ResamplerNames), 150, 150, PixelTypes.Rgba32)]
|
|
public void Transform_WithSampler<TPixel>(TestImageProvider<TPixel> provider, string resamplerName)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
IResampler sampler = GetResampler(resamplerName);
|
|
using (Image<TPixel> image = provider.GetImage())
|
|
{
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendRotationDegrees(50)
|
|
.AppendScale(new SizeF(.6F, .6F));
|
|
|
|
image.Mutate(i => i.Transform(builder, sampler));
|
|
|
|
image.DebugSave(provider, resamplerName);
|
|
image.CompareToReferenceOutput(ValidatorComparer, provider, resamplerName);
|
|
}
|
|
}
|
|
|
|
[Theory]
|
|
[WithTestPatternImages(100, 100, PixelTypes.Rgba32, 21)]
|
|
public void WorksWithDiscoBuffers<TPixel>(TestImageProvider<TPixel> provider, int bufferCapacityInPixelRows)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
AffineTransformBuilder builder = new AffineTransformBuilder()
|
|
.AppendRotationDegrees(50)
|
|
.AppendScale(new SizeF(.6F, .6F));
|
|
provider.RunBufferCapacityLimitProcessorTest(
|
|
bufferCapacityInPixelRows,
|
|
c => c.Transform(builder));
|
|
}
|
|
|
|
private static IResampler GetResampler(string name)
|
|
{
|
|
PropertyInfo property = typeof(KnownResamplers).GetTypeInfo().GetProperty(name);
|
|
|
|
if (property is null)
|
|
{
|
|
throw new Exception($"No resampler named {name}");
|
|
}
|
|
|
|
return (IResampler)property.GetValue(null);
|
|
}
|
|
|
|
private static void VerifyAllPixelsAreWhiteOrTransparent<TPixel>(Image<TPixel> image)
|
|
where TPixel : unmanaged, IPixel<TPixel>
|
|
{
|
|
Assert.True(image.Frames.RootFrame.TryGetSinglePixelSpan(out Span<TPixel> data));
|
|
var white = new Rgb24(255, 255, 255);
|
|
foreach (TPixel pixel in data)
|
|
{
|
|
Rgba32 rgba = default;
|
|
pixel.ToRgba32(ref rgba);
|
|
if (rgba.A == 0)
|
|
{
|
|
continue;
|
|
}
|
|
|
|
Assert.Equal(white, rgba.Rgb);
|
|
}
|
|
}
|
|
|
|
private void PrintMatrix(Matrix3x2 a)
|
|
{
|
|
string s = $"{a.M11:F10},{a.M12:F10},{a.M21:F10},{a.M22:F10},{a.M31:F10},{a.M32:F10}";
|
|
this.output.WriteLine(s);
|
|
}
|
|
}
|
|
}
|
|
|