// Create bag-of-words (BoW) with the given number of words
// private BagOfVisualWords<CornerFeaturePointEx> m_bow = null;
#endregion
#region Public methods
public void SaveTrainData(Stream stream, ConfigurationFieldClassifier config, string trainPath, double pageThreshold)
{
var model = new ModelFieldCLassify();
model.PageThreshold = pageThreshold;
// m_bow.Save(model.Bow);
m_ksvm.Save(model.Ksvm);
BinaryFormatter f = new BinaryFormatter();
f.Serialize(model.TrainImageFeatureVectors, m_trainImageFeatureVectors);
f.Serialize(model.ClassIdClassNameMap, m_classIdClassNameMap);
model.Configuration = config;
model.TrainPath = trainPath;
ModelFieldCLassify.Save(model, stream);
}
// Create bag-of-words (BoW) with the given number of words
// private BagOfVisualWords<CornerFeaturePointEx> m_bow = null;
#endregion
#region Public methods
public void SaveTrainData(Stream stream, ConfigurationFieldClassifier config, string trainPath, double pageThreshold, IEnumerable <IFieldFeature> features)
{
var model = new ModelFieldCLassify();
model.PageThreshold = pageThreshold;
// m_bow.Save(model.Bow);
(m_machine as MulticlassSupportVectorMachine).Save(model.Ksvm);
//BinaryFormatter f = new BinaryFormatter();
//f.Serialize(model.TrainImageFeatureVectors, m_trainImageFeatureVectors);
//f.Serialize(model.ClassIdClassNameMap, m_classIdClassNameMap);
model.Configuration = config;
model.TrainPath = trainPath;
model.FeaturesScale = features.ToDictionary(x => x.Name, y => y.FieldScale);
ModelFieldCLassify.Save(model, stream);
}