[Winform]基於Emgu.CV人臉識別

摘要

“OpenCV是一個開源的計算機視覺庫。OpenCV采用C/C++語言編寫，可以運行在Linux/Windows/Mac等操作系統上。OpenCV還提供了Python、Ruby、MATLAB以及其他語言的接口。OpenCV的一個目標是構建一個簡單易用的計算機視覺框架，以幫助開發人員更便捷地設計更復雜得計算機視覺相關應用程序。OpenCV包含的函數有500多個，覆蓋了計算機視覺的許多應用。

Emgu

Emgu CV是將OpenCV使用.net編程語言（C#）封裝成的.net庫，使用Emgu CV就可以在.net平台上調用OpenCV的功能，同時，Emgu CV也是開源的。

Emgu CV官網：http://www.emgu.com

從官網上你可以下載最新版本，我采用的是3.2.0.2682版本的。

安裝成功之后，打開目錄

打開解決方案，你可以看到很多demo，可以根據自己需求研究下

新建winform程序，添加引用，Emgu安裝目錄下的dll

並將所需的文件從Emgu的bin目錄下拷貝到你的程序debug下

測試核心代碼

  public partial class MainFrm : Form
    {
        /// <summary>
        /// 攝像頭
        /// </summary>
        private VideoCapture _capture = null;
        private Mat _frame;
        private string _exePath = AppDomain.CurrentDomain.BaseDirectory;
        private string _trainedFacePath = string.Empty;
        /// <summary>
        /// 3.5s 保存一次圖片
        /// </summary>
        private const double Interval = 3.5;
        long detectionTime;
        List<Rectangle> faces = new List<Rectangle>();
        List<Rectangle> eyes = new List<Rectangle>();
        /// <summary>
        /// 上次保存圖片時間
        /// </summary>
        private DateTime _lastSaveDt = DateTime.Now;
        /// <summary>
        /// 窗口坐標
        /// </summary>
        private Point _frmPoint;
        /// <summary>
        /// 是否抓取到人臉
        /// </summary>
        private bool _isHavePersonFace = false;
        public MainFrm()
        {
            InitializeComponent();
            this.TopMost = true;
            CheckForIllegalCrossThreadCalls = false;
            _frmPoint = new Point();
        }

        private void MainFrm_Load(object sender, EventArgs e)
        {
            //無邊框
            this.FormBorderStyle = System.Windows.Forms.FormBorderStyle.None;
            //不出現在任務欄
            this.ShowInTaskbar = false;
            //去掉滑輪放大或者縮小
            this.VideoImageBox.Enabled = false;
            this.MouseDown += MainFrm_MouseDown;
            this.MouseMove += MainFrm_MouseMove;

            _trainedFacePath = _exePath + "trainedfaces";
            this.Location = new Point(Screen.PrimaryScreen.WorkingArea.Width - this.Width - 1,
 Screen.PrimaryScreen.WorkingArea.Height - this.Height);
            if (!Directory.Exists(_trainedFacePath))
            {
                Directory.CreateDirectory(_trainedFacePath);
            }
            CvInvoke.UseOpenCL = false;
            try
            {
                _capture = new VideoCapture();
                _frame = new Mat();
                _capture.ImageGrabbed += ProcessFrame;
                _capture.Start();

            }
            catch (NullReferenceException excpt)
            {
                MessageBox.Show(excpt.Message);
            }
        }



        void MainFrm_MouseMove(object sender, MouseEventArgs e)
        {
            if (e.Button == MouseButtons.Left)
            {
                Point myPosittion = MousePosition;
                myPosittion.Offset(-_frmPoint.X, -_frmPoint.Y);
                Location = myPosittion;
            }
        }

        void MainFrm_MouseDown(object sender, MouseEventArgs e)
        {
            _frmPoint.X = e.X;
            _frmPoint.Y = e.Y;
        }




        private void ReleaseData()
        {
            if (_capture != null)
                _capture.Dispose();

        }
        private void ProcessFrame(object sender, EventArgs e)
        {

            if (_capture != null && _capture.Ptr != IntPtr.Zero)
            {
                bool isOk = _capture.Retrieve(_frame, 0);
                VideoImageBox.Image = _frame;
                if (isOk && !_isHavePersonFace)
                {

                    Run(_frame);
                }
            }
        }
        private void UploadFile(string filePath)
        {

            try
            {
                FileInfo file = new FileInfo(filePath);
                FileLogHelper.WriteFileLog(file.Name);

             
            }
            catch (Exception ex)
            {
                FileLogHelper.WriteFileLog(ex);
            }

        }

        private void Run(Mat mat)
        {
            IImage image = mat;
            DetectFace.Detect(
                  image, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
                  faces, eyes,
                  out detectionTime);
            string fileName = DateTime.Now.ToString("yyyyMMddHHmmssfff") + ".jpg";
            string path = Path.Combine(_trainedFacePath, fileName);
              
            foreach (Rectangle face in faces)
            {
                try
                {
                    _isHavePersonFace = true;
                    CvInvoke.Rectangle(image, face, new Bgr(Color.Red).MCvScalar, 1);
                    using (Bitmap bm = new Bitmap(face.Width, face.Height))
                    using (Graphics g = Graphics.FromImage(bm))
                    {
                        g.DrawImage(image.Bitmap, new Rectangle(0, 0, face.Width, face.Height), 
new Rectangle(face.X + 1, face.Y + 1, face.Width - 1, face.Height - 1), GraphicsUnit.Pixel);
                        bm.Save(path, System.Drawing.Imaging.ImageFormat.Jpeg);
                    } 
                    break;

                }
                catch (Exception ex)
                {
                    FileLogHelper.WriteFileLog(ex);
                }
            }

            _isHavePersonFace = false;
        }

      

    }