static void Main(string[] args)
{
var instrumentFolders = Directory.GetDirectories(Directory.GetCurrentDirectory() + "/../../Samples");
Dictionary <String, List <String> > map = new Dictionary <string, List <string> >();
foreach (var folder in instrumentFolders)
{
var files = Directory.GetFiles(folder);
for (int i = 0; i < instruments.Count; i++)
{
if (folder.Contains(instruments[i]))
{
map.Add(instruments[i], files.ToList());
}
}
}
for (int i = 0; i < instruments.Count; i++)
{
var values = new List <double>();
for (int j = 0; j < instruments.Count; j++)
{
values.Add(0.1);
}
values[i] = 1;
MarkedValues.Add(instruments[i], values);
}
network = new NeuroNetwork.NeuroNetwork(MarkedValues.Count, "weights");
player = new SoundPlayer();
player.FftCalculated += audioGraph_FFTCalculated;
for (int i = 0; i < instruments.Count; i++)
{
for (int j = 0; j < map[instruments[i]].Count; j++)
{
player.Load(map[instruments[i]][j]);
Console.WriteLine("Playing {0}", map[instruments[i]][j]);
player.Play();
while (player.Status == "Playing")
{
}
}
}
}
public static void Main(string[] args)
{
var pictureChooser = new PictureChooser(@"..\..\digits\");
var pictures = pictureChooser.Pictures;
var names = new List <string> {
"0", "1", "2", "3", "4", "5", "6", "7", "8", "9"
};
var neuroNetwork = new NeuroNetwork(names, 30, 50);
int i = 0;
while (true)
{
Console.Clear();
Console.WriteLine(i++);
var picturesList = pictures.ToList();
var rand = new Random();
var number = rand.Next(picturesList.Count);
var picture = picturesList [number].Key;
var name = picturesList [number].Value;
int[,] input = picture.ToInput();
var neuroProb = neuroNetwork.Recognize(input);
if (i < 2000) // Auto learning
{
bool isTrue = name.Equals(neuroProb.Key.Name);
neuroProb.Key.Learn(isTrue, input);
}
else // Manual learning
{
ShowInput(input);
Console.WriteLine("Probably, it is " + neuroProb.Key.Name);
Console.WriteLine("Is it true?");
var key = Console.ReadKey();
if (key.Key == ConsoleKey.UpArrow)
{
neuroProb.Key.Learn(true, input);
}
else if (key.Key == ConsoleKey.DownArrow)
{
neuroProb.Key.Learn(false, input);
}
}
}
}
static void Main(string[] args)
{
var instrumentFolders = Directory.GetDirectories(Directory.GetCurrentDirectory() + "/../../Samples");
var player = new SoundPlayer();
player.FftCalculated += audioGraph_FFTCalculated;
Dictionary <String, List <String> > map = new Dictionary <string, List <string> >();
foreach (var folder in instrumentFolders)
{
var files = Directory.GetFiles(folder);
for (int i = 0; i < instruments.Count; i++)
{
if (folder.Contains(instruments[i]))
{
map.Add(instruments[i], files.ToList());
}
}
}
for (int i = 0; i < instruments.Count; i++)
{
var values = new List <double>();
for (int j = 0; j < instruments.Count; j++)
{
values.Add(0.01);
}
values[i] = 1;
MarkedValues.Add(instruments[i], values);
}
network = new NeuroNetwork.NeuroNetwork(MarkedValues.Count);
var random = new Random();
int generationNumber = 0;
for (int i = 0; i < instruments.Count; i++)
{
testMap.Add(instruments[i], new List <String>());
}
int count = 0;
for (int i = 0; i < instruments.Count; i++)
{
count += map[instruments[i]].Count / 2;
}
do
{
for (int i = 0; i < count; i++)
{
try
{
var instrumentNumber = (int)Math.Round(random.NextDouble() * (instruments.Count - 1));
currentInstrument = instruments[instrumentNumber];
var fileNumber = (int)Math.Round(random.NextDouble() * (map[currentInstrument].Count - 1));
player.Load(map[currentInstrument][fileNumber]);
player.Play();
//Console.WriteLine("Playing {0}...", map[currentInstrument][j]);
while (player.Status == "Playing")
{
}
}
catch (Exception)
{
continue;
}
}
isTest = true;
for (int i = 0; i < instruments.Count; i++)
{
testMap[instruments[i]].Clear();
}
Console.WriteLine("Generation - {0}", generationNumber);
generationNumber++;
for (int i = 0; i < instruments.Count; i++)
{
currentInstrument = instruments[i];
var fileNumber = (int)Math.Round(random.NextDouble() * (map[currentInstrument].Count - 1));
player.Load(map[instruments[i]][fileNumber]);
player.Play();
while (player.Status == "Playing")
{
}
}
isTest = false;
isValid = true;
for (int i = 0; i < instruments.Count; i++)
{
var valid = .0;
for (int j = 0; j < testMap[instruments[i]].Count; j++)
{
if (testMap[instruments[i]][j] == instruments[i])
{
valid++;
}
}
isValid &= valid / testMap[instruments[i]].Count > 0.7;
Console.WriteLine("{0} - {1}/{2}", instruments[i], valid, testMap[instruments[i]].Count);
testMap[instruments[i]].Clear();
}
}while (!isValid);
//GC.KeepAlive(player);
//GC.KeepAlive(player.fileStream);
//GC.KeepAlive(player.waveOutDevice);
network.SaveWeights("weights");
}
