/// <summary>
/// Loads default model weights.
/// Default model file is on project folder named "weights.dat"
/// </summary>
/// <param name="mod">Model containing grading variables</param>
/// <param name="param">Excel containing LBP parameters</param>
/// <param name="model_path">Path to model</param>
/// <param name="param_path">Path to parameters</param>
/// <returns>Grading model and LBP parameters</returns>
public static string LoadModel(out Model mod, out Parameters param, string model_path, string param_path)
{
// Path to files
string path =
new DirectoryInfo(Directory.GetCurrentDirectory()) // Get current directory
.Parent.Parent.Parent.Parent.FullName; // Move to correct location and add file name
// Read weights from .dat file
var reader = new BinaryWriterApp(path + model_path);
try
{
reader.ReadWeights();
}
catch (Exception)
{
throw new Exception("Could not find weights.dat! Check that default model is on correct folder.");
}
// Set model variables
mod = new Model();
mod.nComp = reader.ncomp;
mod.eigenVectors = reader.eigenVectors;
mod.singularValues = reader.singularValues;
mod.weights = reader.weights;
mod.weightsLog = reader.weightsLog;
mod.intercept = reader.intercept;
mod.interceptLog = reader.interceptLog;
mod.mean = reader.mean;
// Load parameters from .csv
var paramList = DataTypes.ReadCSV(path + param_path).ToInt32();
var paramFlat = new int[paramList.Length];
for (int i = 0; i < paramList.Length; i++)
{
paramFlat[i] = paramList[0, i];
}
// Set parameters
param = new Parameters()
{
W_stand = new int[] { paramFlat[0], paramFlat[1], paramFlat[2], paramFlat[3] },
Neighbours = paramFlat[4],
LargeRadius = paramFlat[5],
Radius = paramFlat[6],
W_c = paramFlat[7],
W_r = new int[] { paramFlat[8], paramFlat[9] }
};
return(path);
}
public void RunLBPCalculateBatch_LBP_dat_EqualsReference()
{
var runlbp = new RunLBP(load + @"\Test1", save + @"\Test1");
Directory.CreateDirectory(@"C:\temp\test\load\Test1");
Directory.CreateDirectory(@"C:\temp\test\save\Test1");
runlbp.param.Mre = false;
runlbp.param.Scale = false;
runlbp.param.W_stand = new int[] { 5, 3, 2, 1 };
runlbp.param.ImageType = ".dat";
// save images
testImg.New("Quarters", new int[] { 12, 12 });
var bin = new BinaryWriterApp()
{
filename = load + @"\Test1\Test4.dat"
};
bin.SaveBinary(testImg.Image.ToDouble());
bin.filename = load + @"\Test1\Test5.dat";
bin.SaveBinary(testImg.Image.ToDouble());
bin.filename = load + @"\Test1\Test6.dat";
bin.SaveBinary(testImg.Image.ToDouble());
runlbp.CalculateBatch();
float[,] result1 = Functions.Load(save + @"\Test1\Test4_LBP.png");
float[,] result2 = Functions.Load(save + @"\Test1\Test5_LBP.png");
float[,] result3 = Functions.Load(save + @"\Test1\Test6_LBP.png");
float[,] refIS = new float[6, 6]
{
{ 8, 8, 8, 5, 5, 5 },
{ 8, 8, 8, 5, 5, 6 },
{ 8, 8, 8, 5, 5, 6 },
{ 5, 6, 6, 3, 3, 3 },
{ 5, 6, 6, 3, 3, 3 },
{ 6, 6, 6, 3, 3, 3 }
};
Assert.Equal(refIS, result1);
Assert.Equal(refIS, result2);
Assert.Equal(refIS, result3);
}
/// <summary>
/// Loads default model weights.
/// Default model file is on project folder named "weights.dat"
/// </summary>
/// <param name="mod">Model containing all variables</param>
/// <returns>State of loading model</returns>
public static string LoadModel(ref Model mod)
{
// Path to model (weights.dat)
string filename =
new DirectoryInfo(Directory.GetCurrentDirectory()) // Get current directory
.Parent.Parent.Parent.Parent.FullName + @"\Default\weights.dat"; // Move to correct location and add file name
// Read weights from .dat file
var reader = new BinaryWriterApp(filename);
reader.ReadWeights();
// Update model variables
mod.nComp = reader.ncomp;
mod.eigenVectors = reader.eigenVectors;
mod.singularValues = reader.singularValues;
mod.weights = reader.weights;
return("Model loaded");
}
public void RunLBPCalculateSingle_MRE_dat_EqualsReference()
{
var runlbp = new RunLBP(load + @"\Test6\Test1.dat", save + @"\Test6");
Directory.CreateDirectory(@"C:\temp\test\load\Test6");
Directory.CreateDirectory(@"C:\temp\test\save\Test6");
testImg.New("Quarters", new int[] { 28, 28 });
var bin = new BinaryWriterApp()
{
filename = load + @"\Test6\Test1.dat"
};
bin.SaveBinary(testImg.Image.ToDouble());
runlbp.param.Mre = true;
runlbp.param.Scale = false;
runlbp.param.W_stand = new int[] { 5, 3, 2, 1 };
runlbp.param.ImageType = ".dat";
runlbp.CalculateSingle();
bin.filename = save + @"\Test6\features.dat";
float[,] result = Functions.Load(save + @"\Test6\Test1_LBPIS.png");
bin.ReadLBPFeatures("uint32");
int[,] features = bin.features;
float[,] refIS = new float[6, 6]
{
{ 9, 7, 6, 6, 6, 1 },
{ 8, 1, 9, 6, 6, 1 },
{ 6, 2, 3, 6, 3, 1 },
{ 7, 5, 2, 5, 6, 2 },
{ 7, 2, 2, 9, 7, 8 },
{ 7, 2, 2, 2, 1, 9 }
};
Assert.Equal(refIS, result);
}