def getGenOutputFilename(self, args, featName):
svmFilename = config.sanitizeDirPath(args.outputDir)
svmFilename += config.getGenSampleName(args.input) + "."
svmFilename += config.modelFuncName[0] + "."
svmFilename += featName + "."
svmFilename += "gen.output.dat"
return svmFilename
def getGenOutputFilename(self, args, featName):
svmFilename = config.sanitizeDirPath(args.outputDir)
svmFilename += config.getGenSampleName(args.input) + "."
svmFilename += config.modelFuncName[0] + "."
svmFilename += featName + "."
svmFilename += "gen.output.dat"
return svmFilename
def getSingleModelFilename(self, args, featName):
if hasattr(args, "modelFilename"): # for gen case
singleModelFilename = args.modelFilename
else: # for train case
singleModelFilename = config.sanitizeDirPath(args.outputDir)
singleModelFilename += config.getModelFilename(args)
singleModelFilename += "." + featName + ".model.bin"
return singleModelFilename
def getQuantizeFilename(self, args, featName):
if hasattr(args, "modelFilename"): # for gen case
quantFilename = args.modelFilename
else: # for train case
quantFilename = config.sanitizeDirPath(args.outputDir)
quantFilename += config.getModelFilename(args)
quantFilename += "." + featName + ".quant"
return quantFilename
def getSingleModelFilename(self, args, featName):
if hasattr(args, "modelFilename"): # for gen case
singleModelFilename = args.modelFilename
else: # for train case
singleModelFilename = config.sanitizeDirPath(args.outputDir)
singleModelFilename += config.getModelFilename(args)
singleModelFilename += "." + featName + ".model.bin"
return singleModelFilename
def getQuantizeFilename(self, args, featName):
if hasattr(args, "modelFilename"): # for gen case
quantFilename = args.modelFilename
else: # for train case
quantFilename = config.sanitizeDirPath(args.outputDir)
quantFilename += config.getModelFilename(args)
quantFilename += "." + featName + ".quant"
return quantFilename
def getTrainInputFilename(self, args, featName):
svmFilename = config.sanitizeDirPath(args.outputDir)
svmFilename += config.getModelFilename(args)
svmFilename += "." + featName + ".train.input.dat"
return svmFilename
def getTrainInputFilename(self, args, featName):
svmFilename = config.sanitizeDirPath(args.outputDir)
svmFilename += config.getModelFilename(args)
svmFilename += "." + featName + ".train.input.dat"
return svmFilename
def outputMidi(outSamp, args):
outputFilename = config.sanitizeDirPath(args.outputDir)
outputFilename += config.getGenSampleName(args.input) + '.expr.mid'
#logging.printDebug(outputFilename)
outScore = outSamp['score']
outScore.write('midi', outputFilename)