1 static void Main(string[] args) 2 { 3 Mat frame = new Mat(); 4 var Capture = new VideoCapture("http://192.168.1.3:4747/video?1280x720"); // 这里是DroidCam手机端的IP地址和端口号 ?1280x720 5 Console.WriteLine($"摄像头是否打开:{Capture.IsOpened()}"); 6 //声明窗口 7 Cv2.NamedWindow("video", WindowFlags.KeepRatio); 8 Cv2.ResizeWindow("video", 1280, 720); 9 10 //加载人眼、人脸模型数据 11 CascadeClassifier faceFinder = new CascadeClassifier(@"haarcascades\haarcascade_frontalface_default.xml"); 12 CascadeClassifier eyeFinder = new CascadeClassifier(@"haarcascades\haarcascade_eye_tree_eyeglasses.xml"); 13 var Count = new ConcurrentDictionary<long, int>(); 14 long PreviousTime = 0; 15 long FPS = 0; 16 while (true) 17 { 18 bool res = Capture.Read(frame);//会阻塞线程 19 if (!res || frame.Empty()) 20 { 21 continue; 22 } 23 var times = GettimeStamp(); 24 if (PreviousTime != times && Count.ContainsKey(times - 1)) 25 { 26 PreviousTime = times; 27 FPS = Count[times - 1]; 28 Console.WriteLine($"每秒处理图片:{FPS}帧"); 29 } 30 Count.AddOrUpdate(times, 1, (k, v) => v + 1); 31 32 Cv2.PutText(frame, $"{FPS}", new Point(10, 70), HersheyFonts.HersheyPlain, 4, new Scalar(0, 0, 255), 3); 33 //进行检测识别 34 Rect[] faceRects = faceFinder.DetectMultiScale(frame); 35 Rect[] eyeRects = eyeFinder.DetectMultiScale(frame); 36 //如果有检测到，就绘制结果到图像上 37 if (faceRects.Length > 0) 38 { 39 Cv2.Rectangle(frame, faceRects[0], new Scalar(0, 0, 255), 3); 40 } 41 if (eyeRects.Length > 1) 42 { 43 Cv2.Rectangle(frame, eyeRects[0], new Scalar(255, 0, 0), 3); 44 Cv2.Rectangle(frame, eyeRects[1], new Scalar(255, 0, 0), 3); 45 } 46 //显示结果 47 Cv2.ImShow("video", frame); 48 Cv2.WaitKey(1); 49 //省略几个以加快图像的速度 50 Capture.Grab(); 51 Capture.Grab(); 52 Capture.Grab(); 53 Capture.Grab(); 54 } 55 Capture.Release(); 56 //销毁所有的窗口 57 Cv2.DestroyAllWindows(); 58 Console.WriteLine("录制完毕!"); 59 Console.ReadLine(); 60 }