XNA，EmguCV和性能比較與攝像頭

Question

的問題，我開始與EmguCV工作，但我偶然發現性能問題試圖從採集的位圖轉換爲一個Texture2D

這是我的代碼

private void FrameGrabber() 
    { 
     NamePersons.Add(""); 
     currentFrame = grabber.QueryFrame().Resize(320, 240, INTER.CV_INTER_CUBIC); 
     gray = currentFrame.Convert<Gray, Byte>(); 
     MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(face, 1.2, 10, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20)); 
     foreach (MCvAvgComp f in facesDetected[0]) 
     { 
      t = t + 1; 
      result = currentFrame.Copy(f.rect).Convert<Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC); 
      currentFrame.Draw(f.rect, new Bgr(System.Drawing.Color.Red), 2); 
      if (trainingImages.ToArray().Length != 0) 
      { 
       MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001); 
       EigenObjectRecognizer recognizer = new EigenObjectRecognizer(trainingImages.ToArray(), labels.ToArray(), 2500, ref termCrit); 
       name = recognizer.Recognize(result); 
       currentFrame.Draw(name, ref font, new System.Drawing.Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(System.Drawing.Color.LightGreen)); 
      } 
      NamePersons[t - 1] = name; 
      NamePersons.Add(""); 
     } 
     t = 0; 
     for (int nnn = 0; nnn < facesDetected[0].Length; nnn++) 
      names = names + NamePersons[nnn] + ", "; 
     names = ""; 
     NamePersons.Clear(); 

     Bitmap b = currentFrame.ToBitmap(); 

     //slow 
     using (MemoryStream s = new MemoryStream()) 
     { 
      b.Save(s, System.Drawing.Imaging.ImageFormat.Png); 
      s.Seek(0, SeekOrigin.Begin); //must do this, or error is thrown in next line 
      frame = Texture2D.FromStream(GraphicsDevice, s); 
     } 

     ////second option but image is bluish and still slow 
     //GraphicsDevice.Textures[0] = null; 
     //if (frame == null || b.Width != frame.Width || b.Height != frame.Height) 
     // frame = new Texture2D(GraphicsDevice, b.Width, b.Height); 
     //BitmapData bData = b.LockBits(new System.Drawing.Rectangle(new System.Drawing.Point(), b.Size), ImageLockMode.ReadOnly, PixelFormat.Format32bppRgb); 
     //int byteCount = bData.Stride * b.Height; 
     //byte[] bmpBytes = new byte[byteCount]; 
     //Marshal.Copy(bData.Scan0, bmpBytes, 0, byteCount); 
     //b.UnlockBits(bData); 
     //frame.SetData(bmpBytes); 
    } 

    protected override void LoadContent() 
    { 
     spriteBatch = new SpriteBatch(GraphicsDevice); 
     grabber = new Capture(); 
    } 

    protected override void UnloadContent() 
    { 
     grabber.Dispose(); 
    } 

    protected override void Update(GameTime gameTime) 
    { 
     FrameGrabber();    
     base.Update(gameTime); 
    } 

    protected override void Draw(GameTime gameTime) 
    { 
     GraphicsDevice.Clear(Microsoft.Xna.Framework.Color.LightGray); 
     spriteBatch.Begin(); 
     if (frame !=null) 
      spriteBatch.Draw(frame, new Microsoft.Xna.Framework.Rectangle(0, 0, ScreenWidth, ScreenHeight), Microsoft.Xna.Framework.Color.White); 
     spriteBatch.End(); 
     base.Draw(gameTime); 
    } 

我搜索網絡文件，但沒有運氣。

Answer 1

那麼我解決了我的問題，創建一個類，啓動並行線程並處理來自網絡攝像頭的幀轉換。 如果任何人有興趣，轉換爲紋理，也處理我使用此面部識別：

private Image<Gray, byte> gray = null; 
    private HaarCascade haarCascade = new HaarCascade("haarcascade_frontalface_default.xml"); 

    private void QueryFrame() 
    { 
     while (is_running) 
     { 
      nextFrame = capture.QueryFrame().Flip(FLIP.HORIZONTAL); 
      if (nextFrame != null) 
      { 
       gray = nextFrame.Convert<Gray, Byte>(); 
       MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(haarCascade, 1.2, 10, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(20, 20)); 
       foreach (MCvAvgComp face in facesDetected[0]) 
        nextFrame.Draw(face.rect, new Bgr(System.Drawing.Color.Red), 2); 
       byte[] bgrData = nextFrame.Bytes; 
       for (int i = 0; i < colorData.Length; i++) 
        colorData[i] = new Color(bgrData[3 * i + 2], bgrData[3 * i + 1], bgrData[3 * i]); 
      } 
     } 
    }