public ICU()
{
InitializeComponent();
current_frame_num1 = 0;
current_frame_num2 = 0;
F_E = new FeaturesExtraction();
knn = Serializer.Load <KNearestNeighbors>(Path.Combine(path, "knn7.bin"));
RF = Serializer.Load <RandomForest>(Path.Combine(path, "RF7.bin"));
LR = Serializer.Load <LogisticRegression>(Path.Combine(path, "LR7.bin"));
SVM = Serializer.Load <SupportVectorMachine <Gaussian> >(Path.Combine(path, "SVM7.bin"));
NB = Serializer.Load <NaiveBayes>(Path.Combine(path, "NB7.bin"));
HMM = Serializer.Load <HiddenMarkovModel>(Path.Combine(path, "HMM_seq7.bin"));
dataGridView1.RowTemplate.Height = 120;
((DataGridViewImageColumn)dataGridView1.Columns[0]).ImageLayout = DataGridViewImageCellLayout.Stretch;
dataGridView1.Columns[1].Visible = false;
}
/// <summary>
/// Extract the features of the video using the extraction algortithm implimented
/// in FeaturesExtraction class.
/// </summary>
/// <param name="Video_Path">Path of the video on the disk.</param>
/// <param name="Features_Path">Path of the features on the disk.</param>
/// <returns></returns>
public void FeaturesExtraction(String Video_Path, String Features_Path)
{
FeaturesExtraction t = new FeaturesExtraction();
t.Extract_Featurers2(Video_Path, Features_Path);
}
