from metadata import readMetadata
import replaygain
opts, args = parse_args()
if len(args) != 2:
sys.exit(1)
cmd = './' + os.path.basename(sys.argv[0]) + ' -h'
os.system(cmd)
sys.exit(1)
startTime = float(opts.startTime)
endTime = float(opts.endTime)
pool = essentia.Pool()
readMetadata(args[0], pool)
replaygain.compute(args[0], pool, startTime, endTime)
rgain, sampleRate, downmix = getAnalysisMetadata(pool)
loader = streaming.EqloudLoader(filename=args[0],
sampleRate=sampleRate,
startTime=startTime,
endTime=endTime,
replayGain=rgain,
downmix=downmix)
compute(loader.audio,
loader.audio,
pool,
startTime,
endTime,
sampleRate=analysisSampleRate)
sys.exit(1)
#profile = args[0]
input_file = args[0]
output_file = args[1]
pool = Pool()
startTime = float(opt.startTime)
endTime = float(opt.endTime)
# compute descriptors
readMetadata(input_file, pool)
INFO('Process step 1: Replay Gain')
replaygain.compute(input_file, pool, startTime, endTime)
segments_namespace=[]
if opt.segmentation:
INFO('Process step 2: Low Level')
computeLowLevel(input_file, pool, startTime, endTime)
segmentation.compute(input_file, pool, startTime, endTime)
segments = pool['segmentation.timestamps']
for i in xrange(len(segments)-1):
startTime = segments[i]
endTime = segments[i+1]
INFO('**************************************************************************')
INFO('Segment ' + str(i) + ': processing audio from ' + str(startTime) + 's to ' + str(endTime) + 's')
INFO('**************************************************************************')
from metadata import readMetadata
import replaygain
opts, args = parse_args()
if len(args) != 2:
sys.exit(1)
cmd = './'+os.path.basename(sys.argv[0])+ ' -h'
os.system(cmd)
sys.exit(1)
startTime = float(opts.startTime)
endTime=float(opts.endTime)
pool = essentia.Pool()
readMetadata(args[0], pool)
replaygain.compute(args[0], pool, startTime, endTime)
rgain, sampleRate, downmix = getAnalysisMetadata(pool)
loader = streaming.EqloudLoader(filename = args[0],
sampleRate = sampleRate,
startTime = startTime,
endTime = endTime,
replayGain = rgain,
downmix = downmix)
compute(loader.audio, loader.audio, pool, startTime, endTime,
sampleRate=analysisSampleRate)
essentia.run(loader)
# check if we processed enough audio for it to be useful, in particular did
opts, args = parse_args()
if len(args) != 2:
sys.exit(1)
cmd = './'+os.path.basename(sys.argv[0])+ ' -h'
os.system(cmd)
sys.exit(1)
startTime = float(opts.startTime)
endTime=float(opts.endTime)
pool = essentia.Pool()
readMetadata(args[0], pool)
rgain, sampleRate, downmix = getAnalysisMetadata(pool)
loader = streaming.EqloudLoader(filename = filename,
sampleRate = sampleRate,
startTime = startTime,
endTime = endTime,
replayGain = rgain,
downmix = downmix)
replaygain.compute(source, pool, startTime, endTime)
lowlevel.compute(source, pool, startTime, endTime,
sampleRate=analysisSampleRate)
compute(source, pool, startTime, endTime,
sampleRate=analysisSampleRate)
stats = ['mean', 'var', 'min', 'max', 'dmean', 'dmean2', 'dvar', 'dvar2']
poolStats = essentia.standard.PoolAggregator(defaultStats=stats)(pool)
essentia.standard.YamlOutput(filename=args[1])(poolStats)
print "Incorrect number of arguments\n", essentia_usage
sys.exit(1)
#profile = args[0]
input_file = args[0]
output_file = args[1]
pool = Pool()
startTime = float(opt.startTime)
endTime = float(opt.endTime)
# compute descriptors
readMetadata(input_file, pool)
INFO('Process step 1: Replay Gain')
replaygain.compute(input_file, pool, startTime, endTime)
segments_namespace = []
if opt.segmentation:
INFO('Process step 2: Low Level')
computeLowLevel(input_file, pool, startTime, endTime)
segmentation.compute(input_file, pool, startTime, endTime)
segments = pool['segmentation.timestamps']
for i in xrange(len(segments) - 1):
startTime = segments[i]
endTime = segments[i + 1]
INFO(
'**************************************************************************'
)
INFO('Segment ' + str(i) + ': processing audio from ' +
if len(args) != 2:
sys.exit(1)
cmd = './' + os.path.basename(sys.argv[0]) + ' -h'
os.system(cmd)
sys.exit(1)
startTime = float(opts.startTime)
endTime = float(opts.endTime)
pool = essentia.Pool()
readMetadata(args[0], pool)
rgain, sampleRate, downmix = getAnalysisMetadata(pool)
loader = streaming.EqloudLoader(filename=filename,
sampleRate=sampleRate,
startTime=startTime,
endTime=endTime,
replayGain=rgain,
downmix=downmix)
replaygain.compute(source, pool, startTime, endTime)
lowlevel.compute(source,
pool,
startTime,
endTime,
sampleRate=analysisSampleRate)
compute(source, pool, startTime, endTime, sampleRate=analysisSampleRate)
stats = ['mean', 'var', 'min', 'max', 'dmean', 'dmean2', 'dvar', 'dvar2']
poolStats = essentia.standard.PoolAggregator(defaultStats=stats)(pool)
essentia.standard.YamlOutput(filename=args[1])(poolStats)
