在网上有很多关于这方面的博客，但是都没有说完整，按照他们的博客做下来代码都不能跑。所以我就自己写个博客补充一下

我这使用的.NET框架版本是 .NetFramework4.7.1

使用Nuget安装这两个程序包就够了，不需要其他的配置

一定要安装OpenCvSharp4.runtime.win 否则运行后会报错

对单个图片进行人脸识别：

            string path = "D:\\素材\\R-C (1).jpg";        //aaaa.mp4Mat srcImg = Cv2.ImRead(path, (ImreadModes)1);//加载人眼、人脸模型数据OpenCvSharp.CascadeClassifier faceFinder = new CascadeClassifier(@"G:\baiduDownload\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml");OpenCvSharp.CascadeClassifier eyeFinder = new CascadeClassifier(@"G:\baiduDownload\opencv\sources\data\haarcascades\haarcascade_eye_tree_eyeglasses.xml");//进行检测识别Rect[] faceRects = faceFinder.DetectMultiScale(srcImg);Rect[] eyeRects = eyeFinder.DetectMultiScale(srcImg);//如果有检测到，就绘制结果到图像上if (faceRects.Length > 0){Cv2.Rectangle(srcImg, faceRects[0], new Scalar(0, 0, 255), 3);}if (eyeRects.Length > 1){Cv2.Rectangle(srcImg, eyeRects[0], new Scalar(255, 0, 0), 3);Cv2.Rectangle(srcImg, eyeRects[1], new Scalar(255, 0, 0), 3);}//显示结果Cv2.ImShow("showImg", srcImg);Cv2.WaitKey(1);

对摄像头的画面或者本地视频画面进行人脸识别：

            //读取本地的视频FrameSource video = Cv2.CreateFrameSource_Video("D:\\素材\\aaaa.mp4");//使用摄像头//FrameSource video = Cv2.CreateFrameSource_Camera(1);//声明窗口Cv2.NamedWindow("video", WindowFlags.Normal);while (true){//获取帧Mat frame = new Mat();video.NextFrame(frame);//加载人眼、人脸模型数据OpenCvSharp.CascadeClassifier faceFinder = new CascadeClassifier(@"G:\baiduDownload\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml");OpenCvSharp.CascadeClassifier eyeFinder = new CascadeClassifier(@"G:\baiduDownload\opencv\sources\data\haarcascades\haarcascade_eye_tree_eyeglasses.xml");//进行检测识别Rect[] faceRects = faceFinder.DetectMultiScale(frame);Rect[] eyeRects = eyeFinder.DetectMultiScale(frame);//如果有检测到，就绘制结果到图像上if (faceRects.Length > 0){Cv2.Rectangle(frame, faceRects[0], new Scalar(0, 0, 255), 3);}if (eyeRects.Length > 1){Cv2.Rectangle(frame, eyeRects[0], new Scalar(255, 0, 0), 3);Cv2.Rectangle(frame, eyeRects[1], new Scalar(255, 0, 0), 3);}//显示结果Cv2.ImShow("video", frame);Cv2.WaitKey(1);}