public static Pixbuf Get(ManagedCNN cnn, int layer, int i, int j)
{
if (layer >= 0 && layer < cnn.Layers.Count && cnn.Layers[layer].Type == LayerTypes.Convolution && i >= 0 && i < cnn.Layers[layer].FeatureMap.i && j >= 0 && j < cnn.Layers[layer].FeatureMap.j)
{
var FeatureMap = new ManagedArray(cnn.Layers[layer].FeatureMap.x, cnn.Layers[layer].FeatureMap.y, cnn.Layers[layer].FeatureMap.z);
var Transposed = new ManagedArray(FeatureMap);
var pixbuf = new Pixbuf(Colorspace.Rgb, false, 8, FeatureMap.y, FeatureMap.x);
ManagedOps.Copy4DIJ2D(FeatureMap, cnn.Layers[layer].FeatureMap, i, j);
ManagedMatrix.Transpose(Transposed, FeatureMap);
// Get normalization values
double min = Double.MaxValue;
double max = Double.MinValue;
FullyConnected.GetNormalization(Transposed, ref min, ref max);
Activation.Draw(pixbuf, Transposed, min, max);
ManagedOps.Free(Transposed);
return(pixbuf);
}
// return empty pixbuf
return(new Pixbuf(Colorspace.Rgb, false, 8, 1, 1));
}
public static Pixbuf Get(ManagedCNN cnn, int layer)
{
if (layer >= 0 && layer < cnn.Layers.Count && cnn.Layers[layer].Type == LayerTypes.Convolution)
{
var Transposed = new ManagedArray(cnn.Layers[layer].Bias);
ManagedMatrix.Transpose(Transposed, cnn.Layers[layer].Bias);
var pixbuf = new Pixbuf(Colorspace.Rgb, false, 8, Transposed.x, Transposed.y);
// Get normalization values
double min = Double.MaxValue;
double max = Double.MinValue;
FullyConnected.GetNormalization(Transposed, ref min, ref max);
Activation.Draw(pixbuf, Transposed, min, max);
ManagedOps.Free(Transposed);
return(pixbuf);
}
// return empty pixbuf
return(new Pixbuf(Colorspace.Rgb, false, 8, 1, 1));
}