private void StrokeCollection_StrokesChanged(object sender, System.Windows.Ink.StrokeCollectionChangedEventArgs e)
{
try
{
EncogOCR_SketchData sketch = new EncogOCR_SketchData()
{
Name = "",
Strokes = canvasInk.Strokes.
Select(o => new EncogOCR_StrokeDefinition(o)).
ToArray(),
InkCanvasSize = new Size(canvasInk.ActualWidth, canvasInk.ActualHeight),
};
sketch.GenerateBitmap(IMAGESIZE);
// The bitmap is white on black, switch to black on white
double[] inverted = sketch.NNInput.
Select(o => 1d - o).
ToArray();
double[] converted = inverted;
if (_patternStorage != null)
{
converted = _patternStorage.Convert_Local_External(converted);
}
DrawImage(imageCurrent, converted);
panelGuessedImages.Children.Clear();
if (_patternStorage != null)
{
double[][] recognized = _patternStorage.Recognize(inverted);
#region show thumbnails
if (recognized != null)
{
foreach (var guessImage in recognized)
{
DrawImage(panelGuessedImages.Children, guessImage);
}
}
#endregion
}
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), this.Title, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
private void ResetTraining()
{
_patternStorage = null;
panelTrainingImages.Children.Clear();
if (_images.Count == 0)
{
return;
}
#region choose images
int numImages;
if (!int.TryParse(txtTrainCount.Text, out numImages))
{
MessageBox.Show("Couldn't parse count as an integer", this.Title, MessageBoxButton.OK, MessageBoxImage.Warning);
return;
}
numImages = Math.Min(_images.Count, numImages);
var trainImages = UtilityCore.RandomRange(0, _images.Count, numImages).
Select(o => new
{
File = _images[o],
Conv = GetTrainingImage(_images[o], _trainKernel),
}).
ToArray();
#endregion
//_patternStorage = new RandomPatternStorage();
_patternStorage = new Hopfield(IMAGESIZE * IMAGESIZE, 0, 1, .9);
#region show thumbnails
// Display thumbnails
//< !--Run them through a KMeans, then sort in 1D-- >
//< !--Show full resolution over the canvas on mouseover-- >
//< !--Show full resolution under the canvas on click-- >
foreach (var trainImage in trainImages)
{
double widthHeight = Math.Sqrt(trainImage.Conv.Length); // they should be square
int widthHeightInt = widthHeight.ToInt_Round();
if (!Math1D.IsNearValue(widthHeight, widthHeightInt))
{
throw new ApplicationException("Expected square images");
}
double[] imageConv = trainImage.Conv;
imageConv = _patternStorage.Convert_Local_External(imageConv);
BitmapSource source;
//if (isColor)
//{
// source = UtilityWPF.GetBitmap_RGB(example, width, height);
//}
//else
//{
source = UtilityWPF.GetBitmap(imageConv, widthHeightInt, widthHeightInt);
//}
Image image = new Image()
{
Source = source,
Width = source.PixelWidth, // if this isn't set, the image will take up all of the width, and be huge
Height = source.PixelHeight,
Margin = new Thickness(8),
};
panelTrainingImages.Children.Add(image);
}
#endregion
_patternStorage.AddItems(trainImages.Select(o => o.Conv).ToArray());
}
private void ResetTraining()
{
_patternStorage = null;
panelTrainingImages.Children.Clear();
if (_images.Count == 0)
{
return;
}
#region choose images
int numImages;
if (!int.TryParse(txtTrainCount.Text, out numImages))
{
MessageBox.Show("Couldn't parse count as an integer", this.Title, MessageBoxButton.OK, MessageBoxImage.Warning);
return;
}
numImages = Math.Min(_images.Count, numImages);
var trainImages = UtilityCore.RandomRange(0, _images.Count, numImages).
Select(o => new
{
File = _images[o],
Conv = GetTrainingImage(_images[o], _trainKernel),
}).
ToArray();
#endregion
//_patternStorage = new RandomPatternStorage();
_patternStorage = new Hopfield(IMAGESIZE * IMAGESIZE, 0, 1, .9);
#region show thumbnails
// Display thumbnails
//< !--Run them through a KMeans, then sort in 1D-- >
//< !--Show full resolution over the canvas on mouseover-- >
//< !--Show full resolution under the canvas on click-- >
foreach (var trainImage in trainImages)
{
double widthHeight = Math.Sqrt(trainImage.Conv.Length); // they should be square
int widthHeightInt = widthHeight.ToInt_Round();
if (!Math1D.IsNearValue(widthHeight, widthHeightInt))
{
throw new ApplicationException("Expected square images");
}
double[] imageConv = trainImage.Conv;
imageConv = _patternStorage.Convert_Local_External(imageConv);
BitmapSource source;
//if (isColor)
//{
// source = UtilityWPF.GetBitmap_RGB(example, width, height);
//}
//else
//{
source = UtilityWPF.GetBitmap(imageConv, widthHeightInt, widthHeightInt);
//}
Image image = new Image()
{
Source = source,
Width = source.PixelWidth, // if this isn't set, the image will take up all of the width, and be huge
Height = source.PixelHeight,
Margin = new Thickness(8),
};
panelTrainingImages.Children.Add(image);
}
#endregion
_patternStorage.AddItems(trainImages.Select(o => o.Conv).ToArray());
}
