private static Convolution2D Convolute(Convolution2D conv, ToVectorInstructions instr)
{
Convolution2D retVal = conv;
if (retVal.Width != retVal.Height)
{
int max = Math.Max(retVal.Width, retVal.Height);
retVal = Convolutions.ExtendBorders(retVal, max, max); // make it square
}
if (instr.ShouldNormalize)
{
retVal = Convolutions.Normalize(retVal);
}
if (instr.Convolution != null)
{
retVal = Convolutions.Convolute(retVal, instr.Convolution);
}
retVal = Convolutions.MaxPool(retVal, instr.ToSize, instr.ToSize);
retVal = Convolutions.Abs(retVal);
return(retVal);
}
private static double[] GetTrainingImage(FeatureRecognizer_Image image, ConvolutionBase2D kernel)
{
// Enlarge the initial image by the kernel's reduction so that after convolution, it is the desired size
VectorInt reduction = kernel.GetReduction();
if (reduction.X != reduction.Y)
{
throw new ApplicationException(string.Format("Kernel should be square: {0}x{1}", reduction.X, reduction.Y));
}
BitmapSource bitmap = new BitmapImage(new Uri(image.Filename));
bitmap = UtilityWPF.ResizeImage(bitmap, IMAGESIZE + reduction.X, true);
Convolution2D retVal = UtilityWPF.ConvertToConvolution(bitmap, 1d);
if (retVal.Width != retVal.Height)
{
retVal = Convolutions.ExtendBorders(retVal, IMAGESIZE + reduction.X, IMAGESIZE + reduction.X); //NOTE: width or height is already the desired size, this will just enlarge the other to make it square
}
retVal = Convolutions.Convolute(retVal, kernel);
retVal = Convolutions.Abs(retVal);
// It looks better when it's black on white
double[] inverted = retVal.Values.
Select(o => 1d - o).
ToArray();
return(inverted);
}
private void Timer_Tick(object sender, EventArgs e)
{
try
{
if (!chkContinuous.IsChecked.Value)
{
_timer.IsEnabled = false;
}
int width = trkWidth.Value.ToInt_Round();
int height = trkHeight.Value.ToInt_Round();
Convolution2D conv = Convolutions.ExtendBorders(_origConv, width, height);
ShowConvolution(conv);
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), this.Title, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
