📷 A modern, cross-platform, 2D Graphics library for .NET
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namespace ImageSharp.Tests.TestUtilities.ImageComparison
{
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using ImageSharp.PixelFormats;
using SixLabors.Primitives;
public class TolerantImageComparer : ImageComparer
{
public const float DefaultImageThreshold = 1.0f / (100 * 100 * 255);
public TolerantImageComparer(float imageThreshold, int pixelThresholdInPixelByteSum = 0)
{
this.ImageThreshold = imageThreshold;
this.PixelThresholdInPixelByteSum = pixelThresholdInPixelByteSum;
}
/// <summary>
/// The maximal tolerated difference represented by a value between 0.0 and 1.0.
/// Examples of percentage differences on a single pixel:
/// 1. PixelA = (255,255,255,0) PixelB =(0,0,0,255) leads to 100% difference on a single pixel
/// 2. PixelA = (255,255,255,0) PixelB =(255,255,255,255) leads to 25% difference on a single pixel
/// 3. PixelA = (255,255,255,0) PixelB =(128,128,128,128) leads to 50% difference on a single pixel
///
/// The total differences is the sum of all pixel differences normalized by image dimensions!
///
/// ImageThresholdInPercents = 1.0/255 means that we allow one byte difference per channel on a 1x1 image
/// ImageThresholdInPercents = 1.0/(100*100*255) means that we allow only one byte difference per channel on a 100x100 image
/// </summary>
public float ImageThreshold { get; }
/// <summary>
/// The threshold of the individual pixels before they acumulate towards the overall difference.
/// For an individual <see cref="Rgba32"/> pixel the value it's calculated as: pixel.R + pixel.G + pixel.B + pixel.A
/// </summary>
public int PixelThresholdInPixelByteSum { get; }
public override ImageSimilarityReport CompareImagesOrFrames<TPixelA, TPixelB>(ImageBase<TPixelA> expected, ImageBase<TPixelB> actual)
{
if (expected.Size() != actual.Size())
{
throw new InvalidOperationException("Calling ImageComparer is invalid when dimensions mismatch!");
}
int width = actual.Width;
// TODO: Comparing through Rgba32 is not robust enough because of the existance of super high precision pixel types.
Rgba32[] aBuffer = new Rgba32[width];
Rgba32[] bBuffer = new Rgba32[width];
float totalDifference = 0.0f;
var differences = new List<PixelDifference>();
for (int y = 0; y < actual.Height; y++)
{
Span<TPixelA> aSpan = expected.GetRowSpan(y);
Span<TPixelB> bSpan = actual.GetRowSpan(y);
PixelOperations<TPixelA>.Instance.ToRgba32(aSpan, aBuffer, width);
PixelOperations<TPixelB>.Instance.ToRgba32(bSpan, bBuffer, width);
for (int x = 0; x < width; x++)
{
int d = GetDifferenceInPixelByteSum(ref aBuffer[x], ref bBuffer[x]);
if (d > this.PixelThresholdInPixelByteSum)
{
var diff = new PixelDifference(new Point(x, y), aBuffer[x], bBuffer[x]);
differences.Add(diff);
float percentageDiff = (float)d / 4.0f / 255.0f;
totalDifference += percentageDiff;
}
}
}
float normalizedDifference = totalDifference / ((float)actual.Width * (float)actual.Height);
if (normalizedDifference > this.ImageThreshold)
{
return new ImageSimilarityReport(expected, actual, differences);
}
else
{
return ImageSimilarityReport.Empty;
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int GetDifferenceInPixelByteSum(ref Rgba32 a, ref Rgba32 b)
{
return Diff(a.R, b.R) + Diff(a.G, b.G) + Diff(a.B, b.B) + Diff(a.A, b.A);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int Diff(byte a, byte b) => Math.Abs(a - b);
}
}