def main():
parser = argparse.ArgumentParser()
parser.add_argument("input", #nargs="1" ,
help="Score to be played, without extension.",
#default=config.defaultGenScore
)
parser.add_argument("modelFilename", #nargs="1" ,
help="Model filename",
#default=config.defaultModelFilename
)
parser.add_argument("outputDir", nargs="?" ,
help="Music output directory",
default = config.defaultOutputDir
)
args = parser.parse_args()
genScore = sampleLoader.loadGenScore(args.input)
genFeat = featureManager.extractGenFeat(genScore)
#wrap genFeat by {} because trainFeats is {score1, score2}
featureManager.saveJson([genFeat], config.getGenInFeatFilename(args))
#perfFeats = model.genPerfFeats(config.defaultGenFeatFilename, args.modelFilename)
m = model.getModelObj()
perfFeats = m.gen(args)
#wrap perfFeat by {} because trainFeats is {score1, score2}
featureManager.saveJson([perfFeats], config.getGenOutFeatFilename(args))
musicGenerator.genMusic(genScore, args)
def genMusic(genScore, args): samples = featureManager.loadJson(config.getGenOutFeatFilename(args)) sample = samples[0] #only one score, to match the format of trainFeat perfFeats = sample['perfFeats'] outScore = featureManager.applyFeats(genScore, perfFeats) musicOutputFunc = getMusicOutputFunc() musicOutputFunc(outScore, args)
