public void AddModelImage(Mat modelImage)
{
modelKeyPoints?.Dispose();
modelDescriptors?.Dispose();
modelImageSize = modelImage.Size;
FindFeatures(modelImage, out modelKeyPoints, out modelDescriptors);
featureMatcher.Clear();
featureMatcher.Add(modelDescriptors);
}
/// <summary>
/// Train the specified pattern.
/// </summary>
/// <param name="pattern">Pattern.</param>
public void train()
{
// Store the pattern object
// API of cv::DescriptorMatcher is somewhat tricky
// First we clear old train data:
m_matcher.Clear();
// Then we add vector of descriptors (each descriptors matrix describe one image).
// This allows us to perform search across multiple images:
List <Mat> descriptors = new List <Mat> (1);
descriptors.Add(m_pattern.descriptors.Clone());
m_matcher.Add(descriptors);
// After adding train data perform actual train:
m_matcher.Train();
}
public void ClearTrainCollection()
{
_matcher.Clear();
_index = 0;
_indexIdMapImage.Clear();
}