public void AddEdgeDetectionLayers()
{
ConvolutionalLayers.Add(new ConvolutionalLayer
{
Filter = new ConvolutionalFilter
{
Weights = ConvolutionalFilters.TopEdgeDetection
}
});
ConvolutionalLayers.Add(new ConvolutionalLayer
{
Filter = new ConvolutionalFilter
{
Weights = ConvolutionalFilters.BottomEdgeDetection
}
});
ConvolutionalLayers.Add(new ConvolutionalLayer
{
Filter = new ConvolutionalFilter
{
Weights = ConvolutionalFilters.LeftEdgeDetection
}
});
ConvolutionalLayers.Add(new ConvolutionalLayer
{
Filter = new ConvolutionalFilter
{
Weights = ConvolutionalFilters.RightEdgeDetection
}
});
}
public NN_Convolutional(Bitmap image, int convolutionalLayerCount, int convolutionalNeuronCount, int outputCount,
bool applyEdgeDetection)
{
NetworkType = NetworkTypes.Convolutional;
InputImage = image;
ApplyEdgeDetection = applyEdgeDetection;
//Input
var inputLayer = new ConvolutionalLayer();
for (var i = 0; i < image.Width; i++)
{
for (var j = 0; j < image.Height; j++)
{
inputLayer.InputPixels.Add(new ConvolutionalLayer.PixelInfo
{
Coordinates = new Point(i, j),
Color = image.GetPixel(i, j)
});
}
}
ConvolutionalLayers.Add(inputLayer);
//Filters
if (applyEdgeDetection)
{
AddEdgeDetectionLayers();
}
//Output layers
for (var i = 0; i < outputCount; i++)
{
OutputLayer.Neurons.Add(new Neuron());
}
}