private static Task<ApplyResult> ApplyExtract_DoIt_Task(Convolution2D imageConv, FeatureRecognizer_Extract extract, FeatureRecognizer_Extract_Sub sub)
{
return Task.Run(() =>
{
VectorInt totalReduce = sub.Extract.GetReduction();
Convolution2D finalImage = imageConv;
if (extract.PreFilter != null)
{
finalImage = Convolutions.Convolute(imageConv, extract.PreFilter); //TODO: The final worker method shouldn't do this if too small. I'm just doing it to show the user something
totalReduce += extract.PreFilter.GetReduction();
}
if (imageConv.Width <= totalReduce.X || imageConv.Height <= totalReduce.Y)
{
// Too small, exit early
return new ApplyResult(finalImage, null, null);
}
// Apply convolutions
Convolution2D filtered = Convolutions.Convolute(finalImage, sub.Extract);
// Look at the brightest spots, and see if they are matches
var matches = AnalyzeBrightSpots(filtered, sub.Results);
return new ApplyResult(finalImage, filtered, matches);
});
}
private async static void ApplyExtract_DoIt(Grid grid, FeatureRecognizer_Image image, FeatureRecognizer_Extract extract, FeatureRecognizer_Extract_Sub sub, ConvolutionResultNegPosColoring edgeColor, ContextMenu contextMenu)
{
// Source image
BitmapSource bitmap;
if (sub.InputWidth == image.Bitmap.PixelWidth && sub.InputHeight == image.Bitmap.PixelHeight)
{
bitmap = image.Bitmap;
}
else
{
bitmap = UtilityWPF.ResizeImage(image.Bitmap, sub.InputWidth, sub.InputHeight);
}
Convolution2D imageConv = ((BitmapCustomCachedBytes)UtilityWPF.ConvertToColorArray(bitmap, false, Colors.Transparent)).ToConvolution();
// Convolute, look for matches
var results = await ApplyExtract_DoIt_Task(imageConv, extract, sub);
#region Show results
// Left Image
ApplyExtract_Draw_LeftImage(grid, results.ImageConv, extract.PreFilter, edgeColor);
// Right Image
if (results.Filtered != null)
{
ApplyExtract_Draw_RightImage(grid, results.Filtered, edgeColor);
}
// Matches
if (results.Matches != null && results.Matches.Length > 0)
{
ApplyExtract_Draw_Matches(grid, results.Matches, results.Filtered.Size, sub, contextMenu);
}
#endregion
}
private static void ApplyExtract_Draw_Matches(Grid grid, Tuple<VectorInt, ApplyResult_Match[]>[] matches, VectorInt imageSize, FeatureRecognizer_Extract_Sub sub, ContextMenu contextMenu)
{
const int HITSSIZE_SMALL = 50;
const int HITSSIZE_BIG = 70;
StackPanel mainPanel = new StackPanel();
Grid headerRow = new Grid();
mainPanel.Children.Add(headerRow);
#region Draw all hit positions
var hits = matches.Select(o =>
{
double weight = 0;
if (o.Item2 != null && o.Item2.Length > 0)
{
weight = o.Item2.Max(p => p.Weight);
}
return new Tuple<VectorInt, double>(o.Item1, weight);
});
Border hitsMap = GetResultPositionsImage(hits, imageSize, HITSSIZE_BIG);
hitsMap.HorizontalAlignment = HorizontalAlignment.Left;
hitsMap.VerticalAlignment = VerticalAlignment.Bottom;
headerRow.Children.Add(hitsMap);
#endregion
#region Compare extracts
Grid comparesGrid = new Grid();
comparesGrid.RowDefinitions.Add(new RowDefinition() { Height = new GridLength(1, GridUnitType.Auto) });
comparesGrid.RowDefinitions.Add(new RowDefinition() { Height = new GridLength(1, GridUnitType.Auto) });
comparesGrid.HorizontalAlignment = HorizontalAlignment.Right;
comparesGrid.VerticalAlignment = VerticalAlignment.Bottom;
headerRow.Children.Add(comparesGrid);
// Label
TextBlock comparesHeading = new TextBlock() { Text = "compare to", ToolTip = "These are results from the original extract, and can be used to compare the current image's extracts against", HorizontalAlignment = HorizontalAlignment.Center };
Grid.SetRow(comparesHeading, 0);
comparesGrid.Children.Add(comparesHeading);
// Extracts
StackPanel headerExtracts = new StackPanel()
{
Orientation = Orientation.Horizontal,
};
foreach (Convolution2D compareResult in sub.Results.Select(o => o.Result))
{
headerExtracts.Children.Add(Convolutions.GetThumbnail(compareResult, THUMBSIZE_EXTRACT, contextMenu));
}
Grid.SetRow(headerExtracts, 1);
comparesGrid.Children.Add(headerExtracts);
#endregion
foreach (var match in matches)
{
//TODO: Make a grid
StackPanel row = new StackPanel()
{
Orientation = Orientation.Horizontal,
Margin = new Thickness(2),
};
#region Position
StackPanel positionPanel = new StackPanel()
{
VerticalAlignment = VerticalAlignment.Center,
};
row.Children.Add(positionPanel);
// Point map
Border pointMap = GetResultPositionsImage(new[] { Tuple.Create(match.Item1, 1d) }, imageSize, HITSSIZE_SMALL);
pointMap.HorizontalAlignment = HorizontalAlignment.Left;
positionPanel.Children.Add(pointMap);
// Coordinates
positionPanel.Children.Add(new TextBlock() { Text = match.Item1.ToString(), HorizontalAlignment = HorizontalAlignment.Center });
#endregion
foreach (var patch in match.Item2)
{
#region Match Patch
StackPanel patchPanel = new StackPanel();
row.Children.Add(patchPanel);
// Show convolution
patchPanel.Children.Add(Convolutions.GetThumbnail(patch.Patch, THUMBSIZE_EXTRACT, contextMenu));
// Weight
patchPanel.Children.Add(new TextBlock()
{
HorizontalAlignment = HorizontalAlignment.Center,
Text = patch.IsMatch ? patch.Weight.ToStringSignificantDigits(2) : "no match",
});
#endregion
}
mainPanel.Children.Add(row);
}
#region Return border
Border border = new Border()
{
BorderBrush = new SolidColorBrush(UtilityWPF.ColorFromHex("40000000")),
BorderThickness = new Thickness(1),
CornerRadius = new CornerRadius(4),
Padding = new Thickness(4),
Background = new SolidColorBrush(UtilityWPF.ColorFromHex("10000000")),
Child = mainPanel,
};
Grid.SetColumn(border, 0);
Grid.SetColumnSpan(border, 3);
Grid.SetRow(border, 2);
grid.Children.Add(border);
#endregion
}
private void FinishBuildingExtract(ConvolutionBase2D filter, FeatureRecognizer_Extract_Sub[] subs, string imageID)
{
string uniqueID = Guid.NewGuid().ToString();
// Determine filename
string filename = "extract - " + uniqueID + ".xml";
string fullFilename = System.IO.Path.Combine(_workingFolder, filename);
// Add it
FeatureRecognizer_Extract extract = new FeatureRecognizer_Extract()
{
Extracts = subs,
PreFilter = filter,
Control = Convolutions.GetThumbnail(subs[0].Extract, THUMBSIZE_EXTRACT, _extractContextMenu),
ImageID = imageID,
UniqueID = uniqueID,
Filename = filename,
};
if (extract.PreFilter != null && extract.PreFilter is Convolution2D)
{
extract.PreFilterDNA_Single = ((Convolution2D)extract.PreFilter).ToDNA();
}
else if (extract.PreFilter != null && extract.PreFilter is ConvolutionSet2D)
{
extract.PreFilterDNA_Set = ((ConvolutionSet2D)extract.PreFilter).ToDNA();
}
// Copy to the working folder
UtilityCore.SerializeToFile(fullFilename, extract);
AddExtract(extract);
// Update the session file
SaveSession_SessionFile(_workingFolder);
}
