def runProgression(self, progression, streaming=True):
nChords = len(progression)
chordsProgressionReal = self.stringToRealProgression(progression)
changeChordTime = 1.0
dur = nChords * changeChordTime
sampleRate = 44100
hopSize = 2048
nFrames = int(dur * sampleRate / hopSize) - 1
frameRate = float(sampleRate) / float(hopSize)
nextChange = frameRate * changeChordTime
# compute expected Chords and the input pcp for the chordsdetection
# algorithm:
pcp = zeros([nFrames, 12])
expectedChords = []
j = 0
for i in range(nFrames):
if i == int(nextChange):
j += 1
nextChange += frameRate * changeChordTime
expectedChords.append(progression[j % nChords])
pcp[i] = chordsProgressionReal[j % nChords]
pool = Pool()
if streaming:
gen = VectorInput(pcp)
chordsDetection = ChordsDetection(windowSize=2.0, hopSize=hopSize)
gen.data >> chordsDetection.pcp
chordsDetection.chords >> (pool, 'chords.progression')
chordsDetection.strength >> (pool, 'chords.strength')
run(gen)
else:
from essentia.standard import ChordsDetection as stdChordsDetection
chordsDetection = stdChordsDetection(windowSize=2.0,
hopSize=hopSize)
chords, strength = chordsDetection(pcp)
for i in xrange(len(chords)):
pool.add('chords.progression', chords[i])
pool.add('chords.strength', float(strength[i]))
# as sometimes the algorithm gets confused at the transition from one chord to the other,
# the test will be restricted to not having more errors than transitions
failure = 0
for i in range(nFrames):
if pool['chords.progression'][i] != expectedChords[i]: failure += 1
self.assertValidNumber(pool['chords.strength'][i])
self.assertTrue(pool['chords.strength'][i] > 0)
self.assertTrue(failure <= nChords)
def runProgression(self, progression, streaming=True):
nChords = len(progression)
chordsProgressionReal = self.stringToRealProgression(progression)
changeChordTime = 1.0
dur = nChords*changeChordTime
sampleRate = 44100
hopSize = 2048
nFrames = int(dur*sampleRate/hopSize) - 1
frameRate = float(sampleRate)/float(hopSize)
nextChange = frameRate*changeChordTime
# compute expected Chords and the input pcp for the chordsdetection
# algorithm:
pcp = zeros([nFrames,12])
expectedChords =[]
j = 0
for i in range(nFrames):
if i == int(nextChange):
j+=1
nextChange += frameRate*changeChordTime
expectedChords.append(progression[j%nChords])
pcp[i] = chordsProgressionReal[j%nChords]
pool = Pool()
if streaming:
gen = VectorInput(pcp)
chordsDetection = ChordsDetection(windowSize=2.0, hopSize = hopSize)
gen.data >> chordsDetection.pcp
chordsDetection.chords >> (pool, 'chords.progression')
chordsDetection.strength >> (pool, 'chords.strength')
run(gen)
else:
from essentia.standard import ChordsDetection as stdChordsDetection
chordsDetection = stdChordsDetection(windowSize=2.0, hopSize = hopSize)
chords, strength = chordsDetection(pcp)
for i in xrange(len(chords)):
pool.add('chords.progression', chords[i])
pool.add('chords.strength', float(strength[i]))
# as sometimes the algorithm gets confused at the transition from one chord to the other,
# the test will be restricted to not having more errors than transitions
failure = 0
for i in range(nFrames):
if pool['chords.progression'][i] != expectedChords[i]: failure+=1
self.assertValidNumber(pool['chords.strength'][i])
self.assertTrue(pool['chords.strength'][i] > 0)
self.assertTrue(failure <= nChords)