def computeLowLevel(input_file, pool, startTime, endTime, namespace=''):
llspace = 'lowlevel.'
rhythmspace = 'rhythm.'
if namespace:
llspace = namespace + '.lowlevel.'
rhythmspace = namespace + '.rhythm.'
rgain, sampleRate, downmix = getAnalysisMetadata(pool)
loader = streaming.EqloudLoader(filename=input_file,
sampleRate=sampleRate,
startTime=startTime,
endTime=endTime,
replayGain=rgain,
downmix=downmix)
lowlevel.compute(loader.audio, loader.audio, pool, startTime, endTime,
namespace)
essentia.run(loader)
# check if we processed enough audio for it to be useful, in particular did
# we manage to get an estimation for the loudness (2 seconds required)
if not pool.containsKey(llspace + "loudness"):
INFO('ERROR: File is too short (< 2sec)... Aborting...')
sys.exit(2)
numOnsets = len(pool[rhythmspace + 'onset_times'])
sampleRate = pool['metadata.audio_properties.analysis_sample_rate']
onset_rate = numOnsets / float(loader.audio.totalProduced()) * sampleRate
pool.set(rhythmspace + 'onset_rate', onset_rate)
def computeMidLevel(input_file, pool, startTime, endTime, namespace=''):
rgain, sampleRate, downmix = getAnalysisMetadata(pool)
loader = streaming.EqloudLoader(filename=input_file,
sampleRate=sampleRate,
startTime=startTime,
endTime=endTime,
replayGain=rgain,
downmix=downmix)
midlevel.compute(loader.audio, pool, startTime, endTime, namespace)
essentia.run(loader)