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165 lines
7.0 KiB
165 lines
7.0 KiB
// Copyright (c) Six Labors and contributors.
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// Licensed under the Apache License, Version 2.0.
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using System;
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using System.Numerics;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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using SixLabors.ImageSharp.Advanced;
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using SixLabors.ImageSharp.Memory;
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using SixLabors.ImageSharp.PixelFormats;
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namespace SixLabors.ImageSharp.Processing.Processors.Convolution
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{
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/// <summary>
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/// Defines a processor that uses two one-dimensional matrices to perform convolution against an image.
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/// </summary>
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/// <typeparam name="TPixel">The pixel format.</typeparam>
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internal class Convolution2DProcessor<TPixel> : ImageProcessor<TPixel>
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where TPixel : struct, IPixel<TPixel>
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{
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/// <summary>
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/// Initializes a new instance of the <see cref="Convolution2DProcessor{TPixel}"/> class.
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/// </summary>
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/// <param name="configuration">The configuration which allows altering default behaviour or extending the library.</param>
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/// <param name="kernelX">The horizontal gradient operator.</param>
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/// <param name="kernelY">The vertical gradient operator.</param>
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/// <param name="preserveAlpha">Whether the convolution filter is applied to alpha as well as the color channels.</param>
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/// <param name="source">The source <see cref="Image{TPixel}"/> for the current processor instance.</param>
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/// <param name="sourceRectangle">The source area to process for the current processor instance.</param>
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public Convolution2DProcessor(
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Configuration configuration,
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in DenseMatrix<float> kernelX,
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in DenseMatrix<float> kernelY,
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bool preserveAlpha,
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Image<TPixel> source,
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Rectangle sourceRectangle)
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: base(configuration, source, sourceRectangle)
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{
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Guard.IsTrue(kernelX.Size.Equals(kernelY.Size), $"{nameof(kernelX)} {nameof(kernelY)}", "Kernel sizes must be the same.");
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this.KernelX = kernelX;
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this.KernelY = kernelY;
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this.PreserveAlpha = preserveAlpha;
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}
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/// <summary>
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/// Gets the horizontal gradient operator.
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/// </summary>
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public DenseMatrix<float> KernelX { get; }
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/// <summary>
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/// Gets the vertical gradient operator.
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/// </summary>
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public DenseMatrix<float> KernelY { get; }
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/// <summary>
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/// Gets a value indicating whether the convolution filter is applied to alpha as well as the color channels.
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/// </summary>
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public bool PreserveAlpha { get; }
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/// <inheritdoc/>
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protected override void OnFrameApply(ImageFrame<TPixel> source)
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{
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using Buffer2D<TPixel> targetPixels = this.Configuration.MemoryAllocator.Allocate2D<TPixel>(source.Width, source.Height);
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source.CopyTo(targetPixels);
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var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
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var operation = new RowIntervalOperation(interest, targetPixels, source.PixelBuffer, this.KernelY, this.KernelX, this.Configuration, this.PreserveAlpha);
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ParallelRowIterator.IterateRows<RowIntervalOperation, Vector4>(
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this.Configuration,
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interest,
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in operation);
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Buffer2D<TPixel>.SwapOrCopyContent(source.PixelBuffer, targetPixels);
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}
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/// <summary>
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/// A <see langword="struct"/> implementing the convolution logic for <see cref="Convolution2DProcessor{T}"/>.
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/// </summary>
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private readonly struct RowIntervalOperation : IRowIntervalOperation<Vector4>
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{
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private readonly Rectangle bounds;
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private readonly int maxY;
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private readonly int maxX;
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private readonly Buffer2D<TPixel> targetPixels;
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private readonly Buffer2D<TPixel> sourcePixels;
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private readonly DenseMatrix<float> kernelY;
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private readonly DenseMatrix<float> kernelX;
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private readonly Configuration configuration;
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private readonly bool preserveAlpha;
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[MethodImpl(InliningOptions.ShortMethod)]
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public RowIntervalOperation(
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Rectangle bounds,
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Buffer2D<TPixel> targetPixels,
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Buffer2D<TPixel> sourcePixels,
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DenseMatrix<float> kernelY,
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DenseMatrix<float> kernelX,
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Configuration configuration,
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bool preserveAlpha)
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{
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this.bounds = bounds;
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this.maxY = this.bounds.Bottom - 1;
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this.maxX = this.bounds.Right - 1;
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this.targetPixels = targetPixels;
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this.sourcePixels = sourcePixels;
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this.kernelY = kernelY;
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this.kernelX = kernelX;
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this.configuration = configuration;
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this.preserveAlpha = preserveAlpha;
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}
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/// <inheritdoc/>
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[MethodImpl(InliningOptions.ShortMethod)]
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public void Invoke(in RowInterval rows, Span<Vector4> span)
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{
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ref Vector4 spanRef = ref MemoryMarshal.GetReference(span);
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for (int y = rows.Min; y < rows.Max; y++)
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{
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Span<TPixel> targetRowSpan = this.targetPixels.GetRowSpan(y).Slice(this.bounds.X);
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PixelOperations<TPixel>.Instance.ToVector4(this.configuration, targetRowSpan.Slice(0, span.Length), span);
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if (this.preserveAlpha)
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{
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for (int x = 0; x < this.bounds.Width; x++)
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{
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DenseMatrixUtils.Convolve2D3(
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in this.kernelY,
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in this.kernelX,
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this.sourcePixels,
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ref spanRef,
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y,
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x,
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this.bounds.Y,
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this.maxY,
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this.bounds.X,
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this.maxX);
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}
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}
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else
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{
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for (int x = 0; x < this.bounds.Width; x++)
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{
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DenseMatrixUtils.Convolve2D4(
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in this.kernelY,
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in this.kernelX,
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this.sourcePixels,
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ref spanRef,
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y,
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x,
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this.bounds.Y,
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this.maxY,
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this.bounds.X,
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this.maxX);
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}
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}
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PixelOperations<TPixel>.Instance.FromVector4Destructive(this.configuration, span, targetRowSpan);
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}
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}
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}
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}
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}
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