public Models.Track FileToString(string path)
{
Sequence midiSequence = new Sequence();
midiSequence.Load(path);
MidiConverter mc = new MidiConverter();
return(mc.ConvertMidiToStaff(midiSequence));
}
private static void Main(string[] args)
{
var converter = new MidiConverter();
var midi = MidiFile.Read(@"Files\hey-jude.mid");
var input = converter.MidiToMelody(midi);
var inputToSave = converter.MelodyToMidi(input);
converter.SaveMidi(inputToSave, @"Files\input.mid");
var measureMutationOperator = new List <IMeasureMutationOperator>
{
new MeasureInversionOperator(),
new MeasureReorganizationOperator(),
new MeasureReplacementOperator(),
new MeasureBrokerOperator(),
new MeasureExchangeOperator(),
};
var melodyMutationOperators = new List <IMelodyMutationOperator>
{
new MelodyExchangeOperator(),
new MelodyInversionOperator(),
};
var crossoverOperator = new RandomCutOffCrossoverOperator(measureMutationOperator, melodyMutationOperators);
var initializer = new RandomInitializer(input);
var selector = new TournamentSelector();
var replacementOperator = new HalfReplacementOperator(crossoverOperator, selector);
var fitnessCalculator = new MelodySimilarityFitnessCalculator();
var stoppingCriterionChecker = new MultipleStoppingCriterionChecker();
var geneticAlgorithm = new MelodyGenerator(crossoverOperator, fitnessCalculator, initializer, measureMutationOperator, melodyMutationOperators, replacementOperator, selector, stoppingCriterionChecker);
var geneticEventsManager = Singleton <GeneticEventsManager> .Instance();
geneticEventsManager.Set(input);
// Test
new List <Melody>()
{
input
}.ForEach(currentMelody => fitnessCalculator.Calculate(input, currentMelody));
var output = geneticAlgorithm.Generate();
var outputToSave = converter.MelodyToMidi(output);
converter.SaveMidi(outputToSave, @"Files\output.mid");
Console.ReadLine();
}
public MidiSaver()
{
_musicConverter = new MidiConverter(true);
FilterName = "Midi";
Extension = ".mid";
}
