public static void getFeatures(string mkcollection)
{
string bextractArgs = "-fe -n -ws " + WINDOW_FS + " -hp " + WINDOW_FS + " -od " + ExecutableInformation.getTmpPath() + "/" + " " + mkcollection;
System.Diagnostics.Process bextract = new System.Diagnostics.Process();
bextract.StartInfo.WindowStyle = System.Diagnostics.ProcessWindowStyle.Hidden;
bextract.StartInfo.UseShellExecute = false;
bextract.StartInfo.RedirectStandardOutput = false;
bextract.StartInfo.Arguments = bextractArgs;
bextract.StartInfo.FileName = ExecutableInformation.getBExtractPath();
bextract.Start();
bextract.WaitForExit();
}
static void Main(string[] args)
{
//Music directory
string directory = @"T:\Documents\music-classifier\clips_45seconds";
//Expected energy output
//Input file is comma separated in the following format:
// song1,expectedEnergy,expectedPositivity
// song2,expectedEnergy,expectedPositivity
//
//song1 is expected to be the filename of the song, and the file is expected to be in the same directory as the csv
//so if song1 is "hello.mp3", a hello.mp3 file should be in the directory that the csv is located
List <Song> expectedOutputs = new List <Song>();
string[] energyLines = System.IO.File.ReadAllLines(@"T:\Documents\music-classifier\clips_45seconds\expected_energy_positivity_random.csv");
foreach (string line in energyLines)
{
string[] parts = line.Split(',');
string songPath = Path.Combine(directory, parts[0]);
double expectedEnergy = double.Parse(parts[1]);
double expectedPositivity = double.Parse(parts[2]);
Classifier.Song song = new Classifier.Song();
song.positivity = expectedPositivity;
song.energy = expectedEnergy;
song.title = songPath;
expectedOutputs.Add(song);
}
//Train
Classifier.SupportVectorMachine classifier = new Classifier.SupportVectorMachine();
classifier.Train(expectedOutputs);
//Save classifier
classifier.SaveModels(Path.Combine(ExecutableInformation.getTmpPath(), "positivity.svm"), Path.Combine(ExecutableInformation.getTmpPath(), "energy.svm"));
}
