public void FillOffCanvas()
{
ImageSharp.Rectangle bounds = new ImageSharp.Rectangle(-100, -10, 10, 10);
Mock <IBrush <Rgba32> > brush = new Mock <IBrush <Rgba32> >();
Mock <Region> region = new Mock <Region>();
region.Setup(x => x.Bounds).Returns(bounds);
region.Setup(x => x.MaxIntersections).Returns(10);
region.Setup(x => x.Scan(It.IsAny <float>(), It.IsAny <Span <float> >()))
.Returns <float, Span <float> >((y, span) =>
{
if (y < 5)
{
span[0] = -10f;
span[1] = 100f;
return(2);
}
return(0);
});
GraphicsOptions options = new GraphicsOptions(true)
{
};
FillRegionProcessor <Rgba32> processor = new FillRegionProcessor <Rgba32>(brush.Object, region.Object, options);
Image <Rgba32> img = new Image <Rgba32>(10, 10);
processor.Apply(img, bounds);
}
public void ConvertRectangle(float x, float y, float width, float height, int expectedX, int expectedY, int expectedWidth, int expectedHeight)
{
SixLabors.Shapes.Rectangle src = new SixLabors.Shapes.Rectangle(x, y, width, height);
ImageSharp.Rectangle actual = src.Convert();
Assert.Equal(expectedX, actual.X);
Assert.Equal(expectedY, actual.Y);
Assert.Equal(expectedWidth, actual.Width);
Assert.Equal(expectedHeight, actual.Height);
}
[InlineData(false, 16, 4)] // we always do 4 sub=pixels when antialising is off.
public void MinimumAntialiasSubpixelDepth(bool antialias, int antialiasSubpixelDepth, int expectedAntialiasSubpixelDepth)
{
ImageSharp.Rectangle bounds = new ImageSharp.Rectangle(0, 0, 1, 1);
Mock <IBrush <Rgba32> > brush = new Mock <IBrush <Rgba32> >();
Mock <Region> region = new Mock <Region>();
region.Setup(x => x.Bounds).Returns(bounds);
GraphicsOptions options = new GraphicsOptions(antialias)
{
AntialiasSubpixelDepth = 1
};
FillRegionProcessor <Rgba32> processor = new FillRegionProcessor <Rgba32>(brush.Object, region.Object, options);
Image <Rgba32> img = new Image <Rgba32>(1, 1);
processor.Apply(img, bounds);
region.Verify(x => x.Scan(It.IsAny <float>(), It.IsAny <Span <float> >()), Times.Exactly(4));
}
public FileStream IdentifyingCode([FromQuery] int numbers = 4)
{
var tempTTFName = $"{DateTime.Now.Ticks}.ttf";
System.IO.File.Copy("hyqh.ttf", tempTTFName);
var tempCodeName = $"{DateTime.Now.Ticks}.jpg";
var code = RndNum(numbers);
Random random = new Random();
//颜色列表，用于验证码、噪线、噪点
Color[] color = { Color.Black, Color.Red, Color.DarkBlue, Color.Green, Color.Orange, Color.Brown, Color.DarkCyan, Color.Purple };
//创建画布
var imageWidth = code.Length * 18;
using (Image image = new Image(imageWidth, 32))
using (var pixels = image.Lock())
using (FileStream output = System.IO.File.OpenWrite(tempCodeName))
{
//背景设为白色
pixels[imageWidth, 32] = Color.White;
//向画板中绘制贝塞尔样条
for (int i = 0; i < 2; i++)
{
var p1 = new Vector2(0, random.Next(image.Height));
var p2 = new Vector2(random.Next(image.Width), random.Next(image.Height));
var p3 = new Vector2(random.Next(image.Width), random.Next(image.Height));
var p4 = new Vector2(image.Width, random.Next(image.Height));
Vector2[] p = { p1, p2, p3, p4 };
Color clr = color[random.Next(color.Length)];
Pen pen = new Pen(clr, 1);
image.DrawBeziers(pen, p);
}
//画噪点
for (int i = 0; i < 50; i++)
{
GraphicsOptions noneDefault = new GraphicsOptions();
ImageSharp.Rectangle rectangle = new ImageSharp.Rectangle(random.Next(image.Width), random.Next(image.Height), 1, 1);
image.Draw(Color.Gray, 1f, rectangle, noneDefault);
}
//画验证码字符串
for (int i = 0; i < code.Length; i++)
{
int cindex = random.Next(7); //随机颜色索引值
int findex = random.Next(5); //随机字体索引值
var fontCollection = new FontCollection();
var fontTemple = fontCollection.Install(tempTTFName);
var font = new Font(fontTemple, 16);
var brush = new SolidBrush(color[cindex]);//颜色
//var textColor = color[cindex];//颜色
int ii = 4;
if ((i + 1) % 2 == 0)//控制验证码不在同一高度
{
ii = 2;
}
image.DrawText(code.Substring(i, 1), font, brush, new System.Numerics.Vector2(3 + (i * 12), ii));//绘制一个验证字符
}
image.Save(output);
}
if (System.IO.File.Exists(tempTTFName))
{
System.IO.File.Delete(tempTTFName);
}
return(System.IO.File.OpenRead(tempCodeName));
}
/// <summary>
/// Dithers the image reducing it to two colors using error diffusion.
/// </summary>
/// <typeparam name="TPixel">The pixel format.</typeparam>
/// <param name="source">The image this method extends.</param>
/// <param name="diffuser">The diffusion algorithm to apply.</param>
/// <param name="threshold">The threshold to apply binarization of the image. Must be between 0 and 1.</param>
/// <param name="rectangle">
/// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
/// </param>
/// <returns>The <see cref="Image"/>.</returns>
public static Image<TPixel> Dither<TPixel>(this Image<TPixel> source, IErrorDiffuser diffuser, float threshold, Rectangle rectangle)
where TPixel : struct, IPixel<TPixel>
{
source.ApplyProcessor(new ErrorDiffusionDitherProcessor<TPixel>(diffuser, threshold), rectangle);
return source;
}
/// <summary>
/// Dithers the image reducing it to two colors using ordered dithering.
/// </summary>
/// <typeparam name="TPixel">The pixel format.</typeparam>
/// <param name="source">The image this method extends.</param>
/// <param name="dither">The ordered ditherer.</param>
/// <param name="rectangle">
/// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
/// </param>
/// <param name="index">The component index to test the threshold against. Must range from 0 to 3.</param>
/// <returns>The <see cref="Image"/>.</returns>
public static Image<TPixel> Dither<TPixel>(this Image<TPixel> source, IOrderedDither dither, Rectangle rectangle, int index = 0)
where TPixel : struct, IPixel<TPixel>
{
source.ApplyProcessor(new OrderedDitherProcessor<TPixel>(dither, index), rectangle);
return source;
}
