1. 添加包引用
<ItemGroup> <PackageReference Include="OpenCvSharp4" Version="4.7.0.20230115" /> <PackageReference Include="OpenCvSharp4.Extensions" Version="4.7.0.20230115" /> <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.7.0.20230115" /> </ItemGroup>
2.具体代码
using OpenCvSharp; using OpenCvSharp.Extensions; using OpenCvSharp.XFeatures2D; using System.Drawing; using System.Drawing.Imaging; using System.Threading.Tasks; using Point = OpenCvSharp.Point; namespace ConsoleApp9 { internal class Program { static void Main(string[] args) { var isFind = FindPicFromImage(@"C:\Users\63537\Desktop\新建文件夹 (2)\douyinda.jpg", @"C:\Users\63537\Desktop\新建文件夹 (2)\新建文件夹\douyin2.png"); if (isFind) { Console.WriteLine("找到"); } else { Console.WriteLine("未找到"); } Console.ReadKey(); } /// <summary> /// 查找一张图片中是否包含指定图标 /// </summary> /// <param name="sourceImgPath">源图</param> /// <param name="picImgPath">要查找的图标</param> /// <param name="threshold">准确度(越接近1准确度越高)</param> /// <param name="imgWidth">源图宽度(在源图上截取指定图标时源图的宽度,后期可能要对比的源图大小会不一样,例如同一个画面在不同手机下的截图大小应该不一样,这时要指定一个尺寸作为对比)</param> /// <returns></returns> public static bool FindPicFromImage(string sourceImgPath, string picImgPath, double threshold = 0.9, double imgWidth = 0) { try { using Mat source = new Mat(sourceImgPath); if (imgWidth != 0) { //如果源图宽度不等于对比图的宽度则按照指定宽度等比例缩放(提高识别率) if (source.Width != imgWidth) { Cv2.Resize(source, source, new OpenCvSharp.Size(imgWidth, imgWidth * source.Height / (double)source.Width)); } } using Mat pic = new Mat(picImgPath, ImreadModes.AnyColor); using Mat result = new Mat(); //模板匹配 Cv2.MatchTemplate(source, pic, result, TemplateMatchModes.CCoeffNormed); Point minLoc, maxLoc; double minValue, maxValue; Cv2.MinMaxLoc(result, out minValue, out maxValue, out minLoc, out maxLoc); Console.WriteLine(maxValue); if (maxValue >= threshold) { using Mat mask = source.Clone(); //画框显示 Cv2.Rectangle(mask, maxLoc, new Point(maxLoc.X + pic.Cols, maxLoc.Y + pic.Rows), Scalar.Green, 2); Cv2.ImShow("mask", mask); Cv2.WaitKey(0); Cv2.DestroyAllWindows(); return true; } else { return false; } } catch (Exception ex) { return false; } } } }
标签:Mat,Cv2,maxLoc,source,OpenCvSharp,using,net,图标 From: https://www.cnblogs.com/lkd3063601/p/17372266.html