private void process_folder(string path)
{
var files = Directory.GetFiles(path).Where(x => x.EndsWith(".png") || x.EndsWith(".jpg") || x.EndsWith(".jpeg") || x.EndsWith(".bmp") || x.EndsWith(".webp"));
var total = files.Count();
var count = 0;
Parallel.ForEach(files,
x =>
{
iss.AppendImage(x);
Extends.Post(() =>
{
var cc = Interlocked.Increment(ref count);
StatusText.Text = $"이미지 파일 분석 중 ... [{cc.ToString("#,#")}/{total.ToString("#,#")}] ({(cc / (double)total * 100.0).ToString("#0.00")} %) {x}";
});
});
var result = new List <(string, ulong[])>();
foreach (var kv in iss.Hashs)
{
result.Add((kv.Key, kv.Value));
}
var fn = $"iss-{System.IO.Path.GetFileName(path)}-{DateTime.Now.Ticks}.iss";
File.WriteAllText(fn, JsonConvert.SerializeObject(result));
Extends.Post(() => StatusText.Text = $"'{fn}' 파일로 분석 결과가 자동저장 되었습니다.");
}
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;
}
}
static void ProcessSoftClustering(string[] args)
{
var iss = new ImageSoftSimilarity();
Console.Instance.WriteLine("이미지들을 해싱하는 중...");
using (var progressBar = new Console.ConsoleProgressBar())
{
var files = Directory.GetFiles(args[0]).Where(x => x.EndsWith(".png") || x.EndsWith(".jpg") || x.EndsWith(".jpeg") || x.EndsWith(".webp") || x.EndsWith(".bmp"));
int counts = files.Count();
int complete = 0;
Parallel.ForEach(files,
x =>
{
iss.AppendImage(x);
progressBar.SetProgress(Interlocked.Increment(ref complete) / (float)counts * 100);
});
}
List <List <string> > clustered;
using (var progressBar = new Console.ConsoleProgressBar())
{
Console.Instance.WriteLine("클러스터링 중...");
//clustered = iss.Clustering(x =>
//{
// progressBar.SetProgress(x.Item1 / (float)x.Item2 * 100);
//});
}
//clustered.RemoveAll(x => x.Count == 1);
//Console.Instance.WriteLine(clustered);
}
