\u9996\u5148\u5728.net core\u5de5\u7a0b\u6587\u4ef6(.csproj)\u4e2d\uff0c\u6dfb\u52a0\u56fe\u7247\u5e93sixlabors\u7684\u5f15\u7528<\/p>\n\n\n\n
<ItemGroup>\n\n ...\n <Reference Include=\"System.Xml\" \/>\n <PackageReference Include=\"SixLabors.ImageSharp\" Version=\"3.1.4\" \/>\n <\/ItemGroup><\/code><\/pre>\n\n\n\n\u7136\u540e\u6dfb\u52a0\u4e00\u4e2aZefirrat\u7684\u611f\u77e5\u54c8\u5e0c\u7b97\u6cd5\u4ee3\u7801<\/p>\n\n\n\n
using SixLabors.ImageSharp;\r\nusing SixLabors.ImageSharp.PixelFormats;\r\nusing SixLabors.ImageSharp.Processing;\r\n\r\nnamespace Zefirrat\r\n{\r\n public class ComparerOpt\r\n {\r\n public ComparerOpt(byte Accuracy = AccuracyValues.Medium, double CustomRatio = 0.00005)\r\n {\r\n this.Accuracy = Accuracy;\r\n this.CustomRatio = CustomRatio;\r\n }\r\n\r\n public byte Accuracy { get; private set; }\r\n public double CustomRatio { get; private set; }\r\n public static class AccuracyValues\r\n {\r\n public const byte VeryHigh = 1;\r\n public const byte High = 20;\r\n public const byte Medium = 50;\r\n public const byte Low = 90;\r\n public const byte VeryLow = byte.MaxValue;\r\n }\r\n }\r\n\r\n public class Zefirrat\r\n {\r\n public static double[] ImgToVector(Image image)\r\n {\r\n image.Mutate(i => i.Grayscale());\r\n image.Mutate(i => i.Resize(new Size(16, 16)));\r\n var result = new List<double>();\r\n using (var cloned = image.CloneAs<RgbaVector>())\r\n {\r\n for (var i = 0; i < cloned.Size.Height; i++)\r\n {\r\n for (var j = 0; j < cloned.Size.Width; j++)\r\n {\r\n result.Add(cloned[i, j].ToVector4().Length());\r\n }\r\n }\r\n }\r\n return result.ToArray();\r\n }\r\n\r\n private static bool CompareSimilarity(Image image1, Image image2, ComparerOpt opt)\r\n {\r\n var vectors1 = ImgToVector(image1);\r\n var vectors2 = ImgToVector(image2);\r\n return CompareSimilarity(vectors1, vectors2, opt);\r\n }\r\n\r\n public static bool CompareSimilarity(double[] vectors1, double[] vectors2, ComparerOpt opt)\r\n {\r\n var standardDeviation1 =\r\n CalculateStandardDeviation(vectors1, vectors1.Sum() \/ vectors1.Length, vectors1.Length);\r\n var standardDeviation2 =\r\n CalculateStandardDeviation(vectors2, vectors2.Sum() \/ vectors2.Length, vectors2.Length);\r\n var standardDeviation3 = CalculateStandardDeviation(vectors1.Concat(vectors2)\r\n .ToArray(),\r\n (vectors1.Sum() + vectors2.Sum()) \/ (vectors1.Length + vectors2.Length),\r\n vectors1.Length + vectors2.Length);\r\n\r\n var accuracy = opt.CustomRatio * opt.Accuracy;\r\n\r\n return Math.Abs(standardDeviation3 - standardDeviation1) < accuracy &&\r\n Math.Abs(standardDeviation3 - standardDeviation2) < accuracy;\r\n }\r\n\r\n private static double CalculateStandardDeviation(IEnumerable<double> converted2, double s, int n)\r\n {\r\n var tmp = 0.0;\r\n foreach (var x in converted2)\r\n {\r\n tmp += Math.Pow(x - s, 2);\r\n }\r\n var sko = Math.Sqrt(tmp \/ n);\r\n return sko;\r\n }\r\n\r\n public static bool AreSimilar(string image1, string image2, ComparerOpt _options)\r\n {\r\n using var imageSharp1 = Image.Load(image1);\r\n using var imageSharp2 = Image.Load(image2);\r\n return CompareSimilarity(imageSharp1, imageSharp2, _options);\r\n }\r\n }\r\n}<\/code><\/pre>\n\n\n\n\u4f7f\u7528\u65b9\u6cd5\u793a\u4f8b<\/p>\n\n\n\n
var opt = new Zefirrat.ComparerOpt(39);\r\nvar ret = Zefirrat.Zefirrat.AreSimilar(\"d:\/1.png\", \"d:\/2.png\", opt);\r\nConsole.WriteLine(ret);<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u9996\u5148\u5728.net core\u5de5\u7a0b\u6587\u4ef6(.csproj)\u4e2d\uff0c\u6dfb\u52a0\u56fe\u7247\u5e93sixlabors\u7684\u5f15\u7528 \u7136\u540e\u6dfb\u52a0\u4e00\u4e2aZefi […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=\/wp\/v2\/posts\/6257"}],"collection":[{"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6257"}],"version-history":[{"count":4,"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=\/wp\/v2\/posts\/6257\/revisions"}],"predecessor-version":[{"id":6261,"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=\/wp\/v2\/posts\/6257\/revisions\/6261"}],"wp:attachment":[{"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6257"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6257"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.coolcoding.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}