public TransformImageTests()
{
Environment.SetEnvironmentVariable("Sizes", "256,128,64");
_queueRepository = new Mock <IQueueRepository>();
_logger = new Mock <ILogger <TransformImageTests> >();
_function = new TransformImage(_queueRepository.Object);
}
// The '1' indicates there should only be 1 processing thread.
// While you *can* set this higher, Grayscaling doesn't really
// benefit from it. See the TypeConverter for an MFT that does.
public GrayscaleAsync()
: base(1)
{
Trace("GrayscaleAsync Constructor");
m_pTransformFn = null;
m_MediaSubtypes = new Guid[] { FOURCC_NV12.ToMediaSubtype(), FOURCC_YUY2.ToMediaSubtype(), FOURCC_UYVY.ToMediaSubtype() };
}
private void RecognizeImage(SKBitmap bitmap)
{
float[] bmp = TransformImage.ImageToFloat(bitmap);
float[] output = neuralNetwork.Think(bmp);
int result = Training.OutputNumber(output);
Output_label.Text = result.ToString();
TotalOutput_label.Text = string.Empty;
for (int i = 0; i < output.Length; i++)
{
TotalOutput_label.Text += i + ": " + output[i].ToString("0.00") + "\n";
}
}
public Grayscale()
: base()
{
Trace("Grayscale Constructor");
m_pTransformFn = null;
m_MediaSubtypes = new Guid[] { FOURCC_NV12.ToMediaSubtype(), FOURCC_YUY2.ToMediaSubtype(), FOURCC_UYVY.ToMediaSubtype() };
m_SampleDone = new AutoResetEvent(false);
m_SampleReady = new AutoResetEvent(false);
m_ProcessThread = new Thread(new ThreadStart(ProcessingThread));
m_ProcessThread.IsBackground = true;
#if DEBUG
m_ProcessThread.Name = "MFT Processing Thread for Grayscale";
#endif
m_ProcessThread.Start();
}
private void Canvas_Paint(object sender, SKPaintSurfaceEventArgs e)
{
surface = e.Surface;
canvas = surface.Canvas;
float width = e.Info.Width;
float height = e.Info.Height;
drawSize = Math.Min(width, height);
drawPaint.StrokeWidth = drawSize / 10F;
canvas.Clear(SKColors.Gray);
canvas.DrawRect(new SKRect(0, 0, drawSize, drawSize), backPaint);
foreach (SKPath path in completedPaths)
{
canvas.DrawPath(path, drawPaint);
}
foreach (SKPath path in inProgressPaths.Values)
{
canvas.DrawPath(path, drawPaint);
}
if (saveImage && completedPaths.Count != 0)
{
image = surface.Snapshot().Subset(new SKRectI(0, 0, (int)drawSize, (int)drawSize));
bitmap = SKBitmap.Decode(image.Encode());
bitmap = TransformImage.CenterImage(bitmap);
RecognizeImage(bitmap);
saveImage = false;
//FileStream fstream = new FileStream("/storage/sdcard/Pictures/img.png", FileMode.Create);
//SKImage.FromBitmap(bitmap).Encode().AsStream().CopyTo(fstream);
//fstream.Close();
}
else
{
saveImage = false;
}
}