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我能夠從github回購中獲得csharp-sample-apps的Affectiva。我使用網絡攝像頭運行了演示程序，處理和性能非常好。當我嘗試在文件系統中的圖像上運行時，我沒有從PhotoDetector獲得相同的處理速度。任何幫助或改進將不勝感激。與網絡攝像頭相比，對文件系統中圖像的圖像處理速度慢
namespace Logical.EmocaoFace
{
public class AnaliseEmocao : Affdex.ImageListener, Affdex.ProcessStatusListener
{
private Bitmap img { get; set; }
private Dictionary<int, Affdex.Face> faces { get; set; }
private Affdex.Detector detector { get; set; }
private ReaderWriterLock rwLock { get; set; }
public void processaEmocaoImagem()
{
for (int i = 0; i < resultado.count; i++){
RetornaEmocaoFace();
if (faceAffdex != null)
{
}
}
}
public void RetornaEmocaoFace(string caminhoImagem)
{
Affdex.Detector detector = new Affdex.PhotoDetector(1, Affdex.FaceDetectorMode.LARGE_FACES);
detector.setImageListener(this);
detector.setProcessStatusListener(this);
if (detector != null)
{
//ProcessVideo videoForm = new ProcessVideo(detector);
detector.setClassifierPath(@"D:\Desenvolvimento\Componentes\Afectiva\data");
detector.setDetectAllEmotions(true);
detector.setDetectAllExpressions(false);
detector.setDetectAllEmojis(false);
detector.setDetectAllAppearances(false);
detector.start();
((Affdex.PhotoDetector)detector).process(LoadFrameFromFile(caminhoImagem));
detector.stop();
}
}
static Affdex.Frame LoadFrameFromFile(string fileName)
{
Bitmap bitmap = new Bitmap(fileName);
// Lock the bitmap's bits.
Rectangle rect = new Rectangle(0, 0, bitmap.Width, bitmap.Height);
BitmapData bmpData = bitmap.LockBits(rect, ImageLockMode.ReadWrite, bitmap.PixelFormat);
// Get the address of the first line.
IntPtr ptr = bmpData.Scan0;
// Declare an array to hold the bytes of the bitmap.
int numBytes = bitmap.Width * bitmap.Height * 3;
byte[] rgbValues = new byte[numBytes];
int data_x = 0;
int ptr_x = 0;
int row_bytes = bitmap.Width * 3;
// The bitmap requires bitmap data to be byte aligned.
// http://stackoverflow.com/questions/20743134/converting-opencv-image-to-gdi-bitmap-doesnt-work-depends-on-image-size
for (int y = 0; y < bitmap.Height; y++)
{
Marshal.Copy(ptr + ptr_x, rgbValues, data_x, row_bytes);//(pixels, data_x, ptr + ptr_x, row_bytes);
data_x += row_bytes;
ptr_x += bmpData.Stride;
}
bitmap.UnlockBits(bmpData);
//Affdex.Frame retorno = new Affdex.Frame(bitmap.Width, bitmap.Height, rgbValues, Affdex.Frame.COLOR_FORMAT.BGR);
//bitmap.Dispose();
//return retorno;
return new Affdex.Frame(bitmap.Width, bitmap.Height, rgbValues, Affdex.Frame.COLOR_FORMAT.BGR);
}
public void onImageCapture(Affdex.Frame frame)
{
frame.Dispose();
}
public void onImageResults(Dictionary<int, Affdex.Face> faces, Affdex.Frame frame)
{
byte[] pixels = frame.getBGRByteArray();
this.img = new Bitmap(frame.getWidth(), frame.getHeight(), PixelFormat.Format24bppRgb);
var bounds = new Rectangle(0, 0, frame.getWidth(), frame.getHeight());
BitmapData bmpData = img.LockBits(bounds, ImageLockMode.WriteOnly, img.PixelFormat);
IntPtr ptr = bmpData.Scan0;
int data_x = 0;
int ptr_x = 0;
int row_bytes = frame.getWidth() * 3;
// The bitmap requires bitmap data to be byte aligned.
// http://stackoverflow.com/questions/20743134/converting-opencv-image-to-gdi-bitmap-doesnt-work-depends-on-image-size
for (int y = 0; y < frame.getHeight(); y++)
{
Marshal.Copy(pixels, data_x, ptr + ptr_x, row_bytes);
data_x += row_bytes;
ptr_x += bmpData.Stride;
}
img.UnlockBits(bmpData);
this.faces = faces;
frame.Dispose();
}
public void onProcessingException(Affdex.AffdexException A_0)
{
throw new NotImplementedException("Encountered an exception while processing " + A_0.ToString());
}
public void onProcessingFinished()
{
string idArquivo = CodEspaco + "," + System.Guid.NewGuid().ToString();
for(int i = 0; i < faces.Count; i++)
{
}
}
}
public static class GraphicsExtensions
{
public static void DrawCircle(this Graphics g, Pen pen,
float centerX, float centerY, float radius)
{
g.DrawEllipse(pen, centerX - radius, centerY - radius,
radius + radius, radius + radius);
}
}
}