public static void TrainApertureDetection()
{
HOGDescriptor hog = new HOGDescriptor(winSizeAperture, blockSize, blockStride, cellSize, nbins, derivAperture, winSigma, L2HysThreshold, gammaCorrection);
//Postive samples
List <float> pos_targets = new List <float>(); List <float[]> pos_features = new List <float[]>();
{
string[] files = Directory.EnumerateFiles(@"\users\jie\projects\Intel\data\PSM4-Tx\20160722\Aperture")
.Where(file => file.ToLower().EndsWith(".bmp") || file.ToLower().EndsWith(".jpg"))
.ToArray();
for (int k = 0; k < files.Length; k++)
{
Emgu.CV.Image <Gray, byte> image = new Emgu.CV.Image <Gray, byte>(files[k]);
float[] feature = hog.Compute(image);
pos_features.Add(feature);
pos_targets.Add(1.0f);
}
}
//Negative samples
List <float> neg_targets = new List <float>(); List <float[]> neg_features = new List <float[]>();
{
string[] files = Directory.EnumerateFiles(@"\users\jie\projects\Intel\data\PSM4-Tx\20160722\ApertureNegative")
.Where(file => file.ToLower().EndsWith(".bmp") || file.ToLower().EndsWith(".jpg"))
.ToArray();
for (int k = 0; k < files.Length; k++)
{
Emgu.CV.Image <Gray, byte> image = new Emgu.CV.Image <Gray, byte>(files[k]);
float[] feature = hog.Compute(image);
neg_features.Add(feature);
neg_targets.Add(-1.0f);
}
}
List <float> targets = new List <float>(); List <float[]> features = new List <float[]>();
targets.AddRange(pos_targets); targets.AddRange(neg_targets);
features.AddRange(pos_features); features.AddRange(neg_features);
LibSVM.SaveInLibSVMFormat("trainAperture.txt", targets.ToArray(), features.ToArray());
}
public static void ToSingleVector()
{
{ //Aperture
string svm_file = @"\users\jie\projects\Intel\data\PSM4-Tx\20160722\models\svm_model_aperture";
string single_vector_svm_model_file = "single_vector_aperture";
string array_name = "PSM4Tx_APERTURE_SVM";
LibSVM svm = new LibSVM(); svm.LoadModel(svm_file);
float[] single_vector = svm.ToSingleVector();
using (StreamWriter sw = new StreamWriter(single_vector_svm_model_file))
{
sw.Write("const float " + array_name + "[] = ");
sw.Write("{");
for (int i = 0; i < single_vector.Length; i++)
{
sw.Write("{0}f,", single_vector[i]);
}
sw.WriteLine("};");
}
}
{ //Isolator
string svm_file = @"\users\jie\projects\Intel\data\PSM4-Tx\20160722\models\svm_model_isolator";
string single_vector_svm_model_file = "single_vector_isolator";
string array_name = "PSM4Tx_ISOLATOR_SVM";
LibSVM svm = new LibSVM(); svm.LoadModel(svm_file);
float[] single_vector = svm.ToSingleVector();
using (StreamWriter sw = new StreamWriter(single_vector_svm_model_file))
{
sw.Write("const float " + array_name + "[] = ");
sw.Write("{");
for (int i = 0; i < single_vector.Length; i++)
{
sw.Write("{0}f,", single_vector[i]);
}
sw.WriteLine("};");
}
}
{ //Arrayblock
string svm_file = @"\users\jie\projects\Intel\data\PSM4-Tx\20160722\models\svm_model_arrayblock";
string single_vector_svm_model_file = "single_vector_arrayblock";
string array_name = "PSM4Tx_ARRAYBLOCK_SVM";
LibSVM svm = new LibSVM(); svm.LoadModel(svm_file);
float[] single_vector = svm.ToSingleVector();
using (StreamWriter sw = new StreamWriter(single_vector_svm_model_file))
{
sw.Write("const float " + array_name + "[] = ");
sw.Write("{");
for (int i = 0; i < single_vector.Length; i++)
{
sw.Write("{0}f,", single_vector[i]);
}
sw.WriteLine("};");
}
}
}
