public WithMirageSpriteBody(ActorInitializer init, WithMirageSpriteBodyInfo info)
: base(init, info)
{
this.info = info;
var self = init.Self;
renderSprites = self.Trait <RenderSprites>();
mirage = self.Trait <Mirage>();
}
/// <summary>
/// Converts a Mirage.Vector to a string representation with semicolons
/// instead of commas.
/// </summary>
/// <param name="v">
/// The <see cref="Mirage.Vector"/> to be converted
/// </param>
/// <returns>
/// A <see cref="System.String"/> representation of the vector
/// </returns>
public static string MirageVectorToString (Mirage.Vector v)
{
StringBuilder sb = new StringBuilder();
sb.Append ("[");
for (int i = 0; i < v.rows; i++) {
if (i != 0)
sb.Append (";");
sb.Append (v.d [i, 0].ToString (System.Globalization.CultureInfo.InvariantCulture));
}
sb.Append ("]");
return sb.ToString ();
}
public bool InsertVector(Mirage.Vector v, int bid)
{
IDbCommand dbcmd = null;
try {
dbcon.Open();
dbcmd = dbcon.CreateCommand();
dbcmd.CommandText = string.Format("INSERT INTO MIRData (banshee_id, data) VALUES ('{0}', '{1}')",
bid, DataParser.MirageVectorToString(v));
dbcmd.ExecuteNonQuery ();
} catch (Exception e) {
Log.Exception("NoNoise/DB - Mirage.Vector insert failed", e);
return false;
} finally {
if (dbcmd != null)
dbcmd.Dispose();
dbcmd = null;
if (dbcon != null)
dbcon.Close();
}
return true;
}
/// <summary>
/// Computes the median for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the median
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToMedian (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
float [] r = new float [mfcc.columns];
for (int j = 0; j < mfcc.columns; j++) {
r [j] = mfcc.d [i, j];
}
Array.Sort<float> (r);
data.d [i, 0] = r [r.Length / 2];
}
return data;
}
/// <summary>
/// Computes the minimum for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the minimum
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToMin (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
float min = float.PositiveInfinity;
for (int j = 0; j < mfcc.columns; j++) {
min = Math.Min (min, mfcc.d [i, j]);
}
data.d [i, 0] = min;
}
return data;
}
/// <summary>
/// Computes the maximum for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the maximum
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToMax (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
float max = float.NegativeInfinity;
for (int j = 0; j < mfcc.columns; j++) {
max = Math.Max (max, mfcc.d [i, j]);
}
data.d [i, 0] = max;
}
return data;
}
/// <summary>
/// Computes the squared mean for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the squared mean
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToSqrMean (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
data.d [i, 0] = 0;
for (int j = 0; j < mfcc.columns; j++) {
data.d [i, 0] += (float) Math.Pow (mfcc.d [i, j], 2);
}
data.d [i, 0] = (float) Math.Sqrt (data.d [i, 0]);
}
return data;
}
/// <summary>
/// Converts a Mirage.Vector to an array of doubles.
/// </summary>
/// <param name="vec">
/// The <see cref="Mirage.Vector"/> to be converted
/// </param>
/// <returns>
/// The <see cref="System.Double[]"/> representation of the vector
/// </returns>
private double[] ConvertMirageVector (Mirage.Vector vec)
{
double [] data = new double [vec.d.Length];
for (int i = 0; i < vec.d.Length; i++) {
data [i] = vec.d [i, 0];
}
return data;
}
/// <summary>
/// Converts a Mirage.Vector to a string representation with semicolons
/// instead of commas.
/// </summary>
/// <param name="v">
/// The <see cref="Mirage.Vector"/> to be converted
/// </param>
/// <returns>
/// A <see cref="System.String"/> representation of the vector
/// </returns>
public static string MirageVectorToString(Mirage.Vector v)
{
StringBuilder sb = new StringBuilder();
sb.Append ("[");
for (int i = 0; i < v.rows; i++) {
if (i != 0)
sb.Append (";");
sb.Append (v.d [i, 0]);
}
sb.Append ("]");
return sb.ToString ();
}
/// <summary>
/// Converts a Mirage.Matrix to a string representation with semicolons
/// instead of commas.
/// </summary>
/// <param name="m">
/// The <see cref="Mirage.Matrix"/> to be converted
/// </param>
/// <returns>
/// A <see cref="System.String"/> representation of the matrix
/// </returns>
public static string MirageMatrixToString (Mirage.Matrix m)
{
StringBuilder sb = new StringBuilder();
for (int i = 0; i < m.rows; i++) {
if (i == 0)
sb.Append ("[[");
else
sb.Append (" [");
for (int j = 0; j < m.columns; j++) {
if (j != 0)
sb.Append (";");
sb.Append (m.d [i, j]);
}
if (i == (m.rows - 1)) {
sb.Append("]]");
continue;
}
sb.AppendLine("]");
}
return sb.ToString();
}
/// <summary>
/// Instantiate a new Stft Class
/// </summary>
/// <param name="winsize">FFT window size</param>
/// <param name="hopsize">Value to hop on to the next window</param>
/// <param name="window">Window function to apply to every window processed</param>
public StftMirage(int winsize, int hopsize, Mirage.IWindowFunction window)
{
this.winsize = winsize;
this.hopsize = hopsize;
fft = new Mirage.Fft(winsize, window);
}
/// <summary>
/// Converts a mirage matrix to a math matrix
/// </summary>
/// <param name="mat">
/// A <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Matrix"/>
/// </returns>
private Matrix ConvertMatrix(Mirage.Matrix mat)
{
Log.Debug("NoNoise/PCA - converting mirage matrix");
double[][] d = Matrix.CreateMatrixData(mat.rows, mat.columns);
for (int i = 0; i < mat.rows; i++)
for (int j = 0; j < mat.columns; j++)
d[i][j] = mat.d[i,j];
num_columns = mat.columns;
Log.Debug("NoNoise/PCA - conversion complete");
return new Matrix (d);
}
/// <summary>
/// Deprecated constructor used for covariance matrix testing
/// </summary>
/// <param name="data">
/// The mirage matrix which will be converted to a math matrix that should be user for the PCA
/// (has to be a square covariance matrix)
/// </param>
public PCAnalyzer(Mirage.Matrix data)
{
m = ConvertMatrix (data);
// Console.WriteLine(m.ToString());
}
/// <summary>
/// Prints debug information for an MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// A MFCC <see cref="Matrix"/>
/// </param>
private void DebugPrintMFCC(Mirage.Matrix mfcc)
{
Hyena.Log.Debug("Cols: " + mfcc.columns);
Hyena.Log.Debug("Rows: " + mfcc.rows);
Hyena.Log.Debug("Mean length: " + mfcc.Mean().rows);
mfcc.Mean().Print();
}
/// <summary>
/// Converts a Mirage.Vector to an array of doubles.
/// </summary>
/// <param name="mean">
/// The <see cref="Mirage.Vector"/> to be converted
/// </param>
/// <returns>
/// The <see cref="System.Double[]"/> representation of the vector
/// </returns>
private double[] ConvertMfccMean(Mirage.Vector mean)
{
double[] data = new double[mean.d.Length];
for (int i = 0; i < mean.d.Length; i++) {
data[i] = mean.d[i, 0];
}
return data;
}