static void ProcessTest(string[] args)
{
switch (args[0])
{
case "1":
{
var iss = new ImageSoftSimilarity();
//foreach (var file in Directory.GetFiles(@"C:\Users\rollrat\Desktop\새 폴더"))
// if (file.EndsWith(".png"))
// iss.AppendImage(file);
Parallel.ForEach(Directory.GetFiles(@"C:\Users\rollrat\Desktop\새 폴더").Where(x => x.EndsWith(".png")),
//new ParallelOptions { MaxDegreeOfParallelism = 2 },
(x) =>
{
iss.AppendImage(x);
});
//iss.FindForSoft(ImageSoftSimilarity.MakeSoftHash(@"C:\Users\rollrat\Desktop\새 폴더\1577170523.png"), 20);
}
break;
case "2":
{
var iss = new ImageSoftSimilarity();
Parallel.ForEach(Directory.GetFiles(@"C:\Users\rollrat\Desktop\새 폴더").Where(x => x.EndsWith(".png") || x.EndsWith(".jpg")),
//new ParallelOptions { MaxDegreeOfParallelism = 4 },
x => iss.AppendImage(x));
var clustered = iss.Clustering();
}
break;
}
}
private async void Clustering_Click(object sender, RoutedEventArgs e)
{
StatusProgress.Visibility = Visibility.Visible;
Extends.Post(() => StatusText.Text = $"VP-Tree를 생성하는 중...");
double rate;
if (!double.TryParse(MaxRate.Text, out rate))
{
MessageBox.Show("클러스터링 최고 역치는 실수여야합니다!", "Gallery Explorer", MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
await Task.Run(() => {
var clustered = iss.Clustering(x =>
{
Extends.Post(() => StatusText.Text = $"클러스터링 중 ... [{x.Item1.ToString("#,#")}/{x.Item2.ToString("#,#")}] ({(x.Item1 / (double)x.Item2 * 100.0).ToString("#0.00")} %)");
}, 50, rate);
Extends.Post(() =>
{
var vm = ResultList.DataContext as ImageSimilarityDataGridViewModel;
vm.Items.Clear();
clustered.Where(x => x.Count >= 2).ToList().ForEach(x => vm.Items.Add(new ImageSimilarityDataGridItemViewModel
{
개수 = x.Count.ToString(),
평균_정확도 = x.Max(y => y.Item2).ToString(),
results = x
}));
});
});
StatusProgress.Visibility = Visibility.Collapsed;
Extends.Post(() => StatusText.Text = $"클러스터링이 완료되었습니다.");
}
