public MainForm(SURFFeatureExtractor featureExtractor, KnnTrainResult <SURFFeature> knnTrainResult)
{
InitializeComponent();
FeatureExtractor = featureExtractor;
TrainResult = knnTrainResult;
knn = new Knn <SURFFeature>(TrainResult);
TagToBrush = new Dictionary <string, Brush>();
AllBrush = new List <Brush> {
Brushes.Aqua, Brushes.Red, Brushes.Green, Brushes.Yellow, Brushes.Gray
};
}
static void Main(string[] args)
{
KnnTrainResult <SURFFeature> TrainedFeatures = new KnnTrainResult <SURFFeature>();
SURFFeatureExtractor FeatureExtractor = new SURFFeatureExtractor(threshold, octaves, initial)
{
ExtractNegativeOnly = true, MinimumScale = minimumScale
};
//Training
foreach (var SamplePathTag_Pair in SamplePathTag_Pairs)
{
string Path = SamplePathTag_Pair.Key;
string Tag = SamplePathTag_Pair.Value;
BitmapReader TestSampleBitmapReader = new BitmapReader(Path);
var Bitmaps = TestSampleBitmapReader.GetBitmaps();
Console.WriteLine("Extract features from tag:{0}, path:{1}", Tag, Path);
var features = FeatureExtractor.ExtractFeatures(Bitmaps, Tag);
Console.WriteLine("Features extract ,Count:{0}", features.Count());
var knnTrainer = new KnnTrainer <SURFFeature>(features);
var knnTrainResult = knnTrainer.Train();
TrainedFeatures.AddRange(knnTrainResult);
foreach (var b in Bitmaps)
{
b.Dispose();
}
GC.Collect();
GC.WaitForPendingFinalizers();
}
Application.EnableVisualStyles();
Application.Run(new MainForm(FeatureExtractor, TrainedFeatures));
}
