/// <summary>
/// for training
/// </summary>
public VehicleSpeedEstimator(System.Drawing.Size hog_training_img_size)
{
anomaly = new AnomalySpeedDetector();
hog = new HOGDescriptor(new OpenCvSharp.Size(hog_training_img_size.Width, hog_training_img_size.Height), new OpenCvSharp.Size(16, 16),
new OpenCvSharp.Size(8, 8), new OpenCvSharp.Size(8, 8));
classifier = OpenCvSharp.ML.SVM.Create();
AllowErrorRate = 1.5f;
SurgingSpeedMin = 0.45f;
SurgingCountLimit = 7;
}
/// <summary>
/// for estimation
/// </summary>
/// <param name="svm_path"></param>
public VehicleSpeedEstimator(System.Drawing.Size hog_training_img_size, string svm_path)
{
try {
anomaly = new AnomalySpeedDetector();
AllowErrorRate = 1.5f;
SurgingSpeedMin = 0.45f;
SurgingCountLimit = 7;
classifier = OpenCvSharp.ML.SVM.Load(svm_path);
hog = new HOGDescriptor(new OpenCvSharp.Size(hog_training_img_size.Width, hog_training_img_size.Height), new OpenCvSharp.Size(16, 16),
new OpenCvSharp.Size(8, 8), new OpenCvSharp.Size(8, 8));
var support_vectors = classifier.GetSupportVectors();
var vectors = new float[support_vectors.Width * support_vectors.Height];
Marshal.Copy(support_vectors.Data, vectors, 0, support_vectors.Width * support_vectors.Height);
hog.SetSVMDetector(vectors);
}
catch (Exception) {
classifier = OpenCvSharp.ML.SVM.Create();
}
}