def stdRun(path, graph=True):
frames = files.reader(path)
# if graph:
# chart.drawGraphJob(frames)
frames = stdClean(frames)
if graph:
chart.drawGraphJob(frames)
return pul.findBeats(frames, 4, 6)
def stdRun(path, graph=True):
frames = files.reader(path)
# if graph:
# chart.drawGraphJob(frames)
frames = stdClean(frames)
if graph:
chart.drawGraphJob(frames)
return pul.findBeats(frames, 4, 6)
def runOnClassified(data):
for i in range(len(data)):
aux = stdShannonRun(data[i][1], graph=False, reader=False)
beats = pul.findBeats(aux, 4, 6)
t1, t2 = pul.getT(aux, beats, flt.distinguish(aux), 0.01)
t11 = pul.getT11(beats[0], flt.distinguish(aux))
t12 = pul.getT12(beats[0], flt.distinguish(aux))
data[i][1] = [[t11], [t12], [t1], [t2]]
return data
def runOnClassified(data):
for i in range(len(data)):
aux = stdShannonRun(data[i][1], graph=False, reader=False)
beats = pul.findBeats(aux, 4, 6)
t1, t2 = pul.getT(aux, beats, flt.distinguish(aux), 0.01)
t11 = pul.getT11(beats[0], flt.distinguish(aux))
t12 = pul.getT12(beats[0], flt.distinguish(aux))
data[i][1] = [[t11],[t12],[t1],[t2]]
return data
def stdRun(path):
waves = wave.loadWave(path)
frames = wave.getSamples(waves)
frames = stdClean(frames)
return pul.findBeats(frames, 4, 6)
