OpenCvSharp 图片人脸检测 总结

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public partial class Form2 : Form
    {
        public Form2()
        {
            InitializeComponent();
        }

        private void button1_Click(object sender, EventArgs e)
        {
            var srcImage = new Mat();
            var openFileDialog = new OpenFileDialog();
            openFileDialog.Filter = "Image Files | *";
            openFileDialog.RestoreDirectory = true;
            openFileDialog.FilterIndex = 1;
            if (openFileDialog.ShowDialog() == DialogResult.OK)
            {
                var fName = openFileDialog.FileName;
                Mat imge = new Mat(fName);// Image.FromFile(fName);
                srcImage = imge;





            }




            string imageFileName = "C:\Users\Administrator\Desktop\tu\2.jpg";
            //var srcImage = new Mat(imageFileName);
            //原图
            //Cv2.ImShow("Source", srcImage);
            //Cv2.WaitKey(1); // do events
            label1.Text = "原图";
            pictureBox1.Image = srcImage.ToBitmap();

            var grayImage = new Mat();
            Cv2.CvtColor(srcImage, grayImage, ColorConversionCodes.BGRA2GRAY);
            Cv2.EqualizeHist(grayImage, grayImage);
            
            var cascade = new CascadeClassifier(Application.StartupPath + "\haarcascade_frontalface_alt.xml");
            var nestedCascade = new CascadeClassifier(Application.StartupPath + "\haarcascade_eye_tree_eyeglasses.xml");

            var faces = cascade.DetectMultiScale(
                image: grayImage,
                scaleFactor: 1.1,
                minNeighbors: 2,
                flags: HaarDetectionType.DoRoughSearch | HaarDetectionType.ScaleImage,
                minSize: new OpenCvSharp.Size(30, 30)
                );
           // Console.WriteLine("Detected faces: {0}", faces.Length);

            var rnd = new Random();
            var count = 1;
            foreach (var faceRect in faces)
            {
                //人脸图
                var detectedFaceImage = new Mat(srcImage, faceRect);
                //Cv2.ImShow(string.Format("Face {0}", count), detectedFaceImage);
                //Cv2.WaitKey(0); // do events
                label2.Text = "人脸图";
                pictureBox2.Image = detectedFaceImage.ToBitmap();


                var color = Scalar.FromRgb(rnd.Next(0, 255), rnd.Next(0, 255), rnd.Next(0, 255));
                Cv2.Rectangle(srcImage, faceRect, color, 3);


                var detectedFaceGrayImage = new Mat();
                Cv2.CvtColor(detectedFaceImage, detectedFaceGrayImage, ColorConversionCodes.BGRA2GRAY);
                var nestedObjects = nestedCascade.DetectMultiScale(
                    image: detectedFaceGrayImage,
                    scaleFactor: 1.1,
                    minNeighbors: 2,
                    flags: HaarDetectionType.DoRoughSearch | HaarDetectionType.ScaleImage,
                    minSize: new OpenCvSharp.Size(30, 30)
                    );

                // Console.WriteLine("Nested Objects[{0}]: {1}", count, nestedObjects.Length);
               
                foreach (var nestedObject in nestedObjects)
                {
                    var center = new OpenCvSharp.Point
                    {
                        X = (int)(Math.Round(nestedObject.X + nestedObject.Width * 0.5, MidpointRounding.ToEven) + faceRect.Left),
                        Y = (int)(Math.Round(nestedObject.Y + nestedObject.Height * 0.5, MidpointRounding.ToEven) + faceRect.Top)
                    };
                    var radius = Math.Round((nestedObject.Width + nestedObject.Height) * 0.25, MidpointRounding.ToEven);
                    Cv2.Circle(srcImage, center, (int)radius, color, thickness: 3);
                }

                count++;
            }
            //圈中人脸
            //Cv2.ImShow("Haar Detection", srcImage);
            //Cv2.WaitKey(1); // do events


            //Cv2.WaitKey(0);
            label3.Text = "圈中人脸图";
            pictureBox3.Image = srcImage.ToBitmap();
            Cv2.DestroyAllWindows();
            srcImage.Dispose();



        }

        //Mat mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(bmp); //bitmap转 mat
        //Bitmap bitmap = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat); // mat 转 bitmap
        //PictureBox.image=mat.ToBitmap(); 
        //Image img = this.pictureBox1.Image;
        //Bitmap map = new Bitmap(img);
        //Image img = Bitmap;

    }

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