def listFeatures():
features = [
feat.__name__ for feat in yaafe.AudioFeatureFactory.get_all_features()
if not feat.TRANSFORM
]
transforms = [
feat.__name__ for feat in yaafe.AudioFeatureFactory.get_all_features()
if feat.TRANSFORM
]
if len(features) == 0:
print(
'No features available ! Please check that YAAFE_PATH env var is set correctly.'
)
return
features.sort()
transforms.sort()
list_features = ['Available features:']
list_features.extend([' - ' + f for f in features])
list_features.append('Available feature transforms:')
list_features.extend([' - ' + f for f in transforms])
list_features.append('Available Output formats:')
list_features.extend(
[' - ' + f.decode('utf-8') for f in yaafe.getOutputFormatList()])
list_features_str = '\n'.join(list_features)
print(list_features_str)
return list_features_str
def listFeatures():
features = [feat.__name__ for feat in yaafe.AudioFeatureFactory.get_all_features() if not feat.TRANSFORM]
transforms = [feat.__name__ for feat in yaafe.AudioFeatureFactory.get_all_features() if feat.TRANSFORM]
if len(features)==0:
print 'No features available ! Please check that YAAFE_PATH env var is set correctly.'
return
features.sort()
transforms.sort()
print 'Available features:'
for f in features:
print ' -', f
print 'Available feature transforms:'
for f in transforms:
print ' -', f
print 'Available Output formats:'
for f in yaafe.getOutputFormatList():
print ' -', f
def listFeatures():
features = [feat.__name__
for feat in yaafe.AudioFeatureFactory.get_all_features()
if not feat.TRANSFORM]
transforms = [feat.__name__
for feat in yaafe.AudioFeatureFactory.get_all_features()
if feat.TRANSFORM]
if len(features) == 0:
print('No features available ! Please check that YAAFE_PATH env var is set correctly.')
return
features.sort()
transforms.sort()
list_features = ['Available features:']
list_features.extend([' - ' + f for f in features])
list_features.append('Available feature transforms:')
list_features.extend([' - ' + f for f in transforms])
list_features.append('Available Output formats:')
list_features.extend([' - ' + f.decode('utf-8') for f in yaafe.getOutputFormatList()])
list_features_str = '\n'.join(list_features)
print(list_features_str)
return list_features_str
def listFeatures():
features = [
feat.__name__ for feat in yaafe.AudioFeatureFactory.get_all_features()
if not feat.TRANSFORM
]
transforms = [
feat.__name__ for feat in yaafe.AudioFeatureFactory.get_all_features()
if feat.TRANSFORM
]
if len(features) == 0:
print 'No features available ! Please check that YAAFE_PATH env var is set correctly.'
return
features.sort()
transforms.sort()
print 'Available features:'
for f in features:
print ' -', f
print 'Available feature transforms:'
for f in transforms:
print ' -', f
print 'Available Output formats:'
for f in yaafe.getOutputFormatList():
print ' -', f
def main():
parser = OptionParser(version='yaafe.py, Yaafe v%s' %
yaafe.getYaafeVersion())
parser.add_option('-v', '--verbose', dest='verbose', action='store_true',
default=False, help='display more output')
parser.add_option('-l', '--list', dest='listFeatures', action='store_true',
default=False,
help='list all available features and output formats')
parser.add_option('-d', '--describe', dest='describe', default=None,
help='describe a feature or an output format')
parser.add_option('-f', '--feature', action='append', dest='feature',
metavar='FEATUREDEFINITION', help='feature to extract')
parser.add_option('-c', '--config-file', dest='configFile', default=None,
help='feature extraction plan')
parser.add_option('-r', '--rate', dest='sample_rate', type='int',
default=None,
help='working samplerate in Hz.')
parser.add_option('', '--resample', dest='resample', action='store_true',
default=False,
help='Resample input signal to the analysis sample rate')
parser.add_option('-n', '--normalize', dest='normalize',
action='store_true', default=False,
help='normalize input signal by removing mean and scale maximum absolute value to 0.98 (or other value given with --normalize-max)')
parser.add_option('', '--normalize-max', dest='normalize_max',
type='float', default=0.98,
help='Normalize input signal so that maximum absolute value reached given value (see -n, --normalize)')
parser.add_option('-i', '--input', dest='input_list', default=None,
help='text file, each line is an audio file to process')
parser.add_option('-b', '--base-dir', dest='out_dir', default='',
help='output directory base')
parser.add_option('-o', '--output-format', dest='format', default='csv',
choices=output_format_choices,
help='Features output format: %s' % '|'.join(output_format_choices))
parser.add_option('-p', '--output-params', dest='formatparams',
action='append', default=[],
metavar='key=value',
help='add an output format parameter (can be used multiple times, use -l options to list output formats and parameters)')
parser.add_option('', '--dump-dataflow', dest='dumpDataflow', default='',
metavar='FILE',
help='output dataflow plan (suitable for process with yaafe-engine)')
parser.add_option('', '--dump-graph', dest='dumpGraph', default='',
metavar='FILE',
help="output dataflow in dot format (suitable for display with graphviz")
parser.add_option('-s', '--data-block-size', dest='buffer_size',
type='int', default=None,
help='Prefered size for data blocks.')
parser.add_option('', '--show', dest='showFeatures', default=None,
help='Show all features in a H5 file')
(options, audiofiles) = parser.parse_args()
if options.listFeatures:
listFeatures()
return
if options.describe:
if options.describe in yaafe.getOutputFormatList():
describeOutputFormat(options.describe)
else:
describeFeature(options.describe)
return
if options.showFeatures:
showFeatures(options.showFeatures)
return
if not options.sample_rate:
print("ERROR: please specify sample rate !")
return
if options.buffer_size:
yaafe.setPreferedDataBlockSize(options.buffer_size)
if options.verbose:
yaafe.setVerbose(True)
# initialize feature plan
fp = yaafe.FeaturePlan(sample_rate=options.sample_rate,
normalize=(options.normalize_max
if options.normalize else None),
resample=options.resample)
if options.configFile:
if not fp.loadFeaturePlan(options.configFile):
return
elif options.feature:
for feat in options.feature:
if not fp.addFeature(feat):
return
else:
print("ERROR: please specify features using either a config file or -f [feature]")
return
if options.dumpDataflow:
fp.getDataFlow().save(options.dumpDataflow)
if options.dumpGraph:
fp.getDataFlow().save(options.dumpGraph)
# read audio file list
if options.input_list:
fin = open(options.input_list, 'r')
for line in fin:
audiofiles.append(line.strip())
fin.close()
if audiofiles:
# initialize engine
engine = yaafe.Engine()
if not engine.load(fp.getDataFlow()):
return
# initialize file processor
afp = yaafe.AudioFileProcessor()
oparams = dict()
for pstr in options.formatparams:
pstrdata = pstr.split('=')
if len(pstrdata) != 2:
print('ERROR: invalid parameter syntax in "%s" (should be "key=value")' % pstr)
return
oparams[pstrdata[0]] = pstrdata[1]
afp.setOutputFormat(options.format, options.out_dir, oparams)
# process audio files
for audiofile in audiofiles:
afp.processFile(engine, audiofile)
def main():
parser = OptionParser(version='yaafe.py, Yaafe v%s' %
yaafe.getYaafeVersion())
parser.add_option('-v', '--verbose', dest='verbose', action='store_true',
default=False, help='display more output')
parser.add_option('-l', '--list', dest='listFeatures', action='store_true',
default=False,
help='list all available features and output formats')
parser.add_option('-d', '--describe', dest='describe', default=None,
help='describe a feature or an output format')
parser.add_option('-f', '--feature', action='append', dest='feature',
metavar='FEATUREDEFINITION', help='feature to extract')
parser.add_option('-c', '--config-file', dest='configFile', default=None,
help='feature extraction plan')
parser.add_option('-r', '--rate', dest='sample_rate', type='int',
default=None,
help='working samplerate in Hz.')
parser.add_option('', '--resample', dest='resample', action='store_true',
default=False,
help='Resample input signal to the analysis sample rate')
parser.add_option('-n', '--normalize', dest='normalize',
action='store_true', default=False,
help='normalize input signal by removing mean and scale maximum absolute value to 0.98 (or other value given with --normalize-max)')
parser.add_option('', '--normalize-max', dest='normalize_max',
type='float', default=0.98,
help='Normalize input signal so that maximum absolute value reached given value (see -n, --normalize)')
parser.add_option('-i', '--input', dest='input_list', default=None,
help='text file, each line is an audio file to process')
parser.add_option('-b', '--base-dir', dest='out_dir', default='',
help='output directory base')
parser.add_option('-o', '--output-format', dest='format', default='csv',
choices=output_format_choices,
help='Features output format: %s' % '|'.join(output_format_choices))
parser.add_option('-p', '--output-params', dest='formatparams',
action='append', default=[],
metavar='key=value',
help='add an output format parameter (can be used multiple times, use -l options to list output formats and parameters)')
parser.add_option('', '--dump-dataflow', dest='dumpDataflow', default='',
metavar='FILE',
help='output dataflow plan (suitable for process with yaafe-engine)')
parser.add_option('', '--dump-graph', dest='dumpGraph', default='',
metavar='FILE',
help="output dataflow in dot format (suitable for display with graphviz")
parser.add_option('-s', '--data-block-size', dest='buffer_size',
type='int', default=None,
help='Prefered size for data blocks.')
parser.add_option('', '--show', dest='showFeatures', default=None,
help='Show all features in a H5 file')
(options, audiofiles) = parser.parse_args()
if options.listFeatures:
listFeatures()
return
if options.describe:
if options.describe in yaafe.getOutputFormatList():
describeOutputFormat(options.describe)
else:
describeFeature(options.describe)
return
if options.showFeatures:
showFeatures(options.showFeatures)
return
if not options.sample_rate:
print "ERROR: please specify sample rate !"
return
if options.buffer_size:
yaafe.setPreferedDataBlockSize(options.buffer_size)
if options.verbose:
yaafe.setVerbose(True)
# initialize feature plan
fp = yaafe.FeaturePlan(sample_rate=options.sample_rate,
normalize=(options.normalize_max
if options.normalize else None),
resample=options.resample)
if options.configFile:
if not fp.loadFeaturePlan(options.configFile):
return
elif options.feature:
for feat in options.feature:
if not fp.addFeature(feat):
return
else:
print "ERROR: please specify features using either a config file or -f [feature]"
return
if options.dumpDataflow:
fp.getDataFlow().save(options.dumpDataflow)
if options.dumpGraph:
fp.getDataFlow().save(options.dumpGraph)
# read audio file list
if options.input_list:
fin = open(options.input_list, 'r')
for line in fin:
audiofiles.append(line.strip())
fin.close()
if audiofiles:
# initialize engine
engine = yaafe.Engine()
if not engine.load(fp.getDataFlow()):
return
# initialize file processor
afp = yaafe.AudioFileProcessor()
oparams = dict()
for pstr in options.formatparams:
pstrdata = pstr.split('=')
if len(pstrdata) != 2:
print 'ERROR: invalid parameter syntax in "%s" (should be "key=value")' % pstr
return
oparams[pstrdata[0]] = pstrdata[1]
afp.setOutputFormat(options.format, options.out_dir, oparams)
# process audio files
for audiofile in audiofiles:
afp.processFile(engine, audiofile)
def main():
if (yaafe.loadComponentLibrary('yaafe-io')!=0):
print 'WARNING: cannot load yaafe-io component library !'
output_format_choices = ['csv']
if yaafe.isComponentAvailable('H5DatasetWriter'):
output_format_choices.append('h5')
parser = OptionParser(version='yaafe.py, Yaafe v%s'%yaafe.getYaafeVersion())
parser.add_option('-v','--verbose',dest='verbose',action='store_true',default=False,
help='display more output')
parser.add_option('-l','--list',dest='listFeatures',action='store_true',default=False,
help='list all available features and output formats')
parser.add_option('-d','--describe',dest='describe',default=None,
help='describe a feature or an output format')
parser.add_option('-f','--feature',action='append',dest='feature',
metavar='FEATUREDEFINITION', help='feature to extract')
parser.add_option('-c','--config-file',dest='configFile',default=None,
help='feature extraction plan')
parser.add_option('-r','--rate',dest='sample_rate',type='int', default=None,
help='working samplerate in Hz. If not set, use input file sample rate. ')
parser.add_option('','--resample',dest='resample',action='store_true',default=False,
help='Resample input signal to the analysis sample rate')
parser.add_option('-n','--normalize',dest='normalize',action='store_true',default=False,
help='normalize input signal by removing mean and scale maximum absolute value to 0.98 (or other value given with --normalize-max)');
parser.add_option('','--normalize-max',dest='normalize_max',type='float',default=0.98,
help='Normalize input signal so that maximum absolute value reached given value (see -n, --normalize)')
parser.add_option('-i','--input',dest='input_list',default=None,
help='text file, each line is an audio file to process')
parser.add_option('-b','--base-dir',dest='out_dir',default='',
help='output directory base')
parser.add_option('-o','--output-format',dest='format',default='csv',
choices=output_format_choices, help='Features output format: %s'%'|'.join(output_format_choices))
parser.add_option('-p','--output-params',dest='formatparams', action='append', default=[],
metavar='key=value',
help='add an output format parameter (can be used multiple times, use -l options to list output formats and parameters)')
parser.add_option('','--dump-dataflow',dest='dumpDataflow',default='', metavar='FILE',
help='output dataflow plan (suitable for process with yaafe-engine)')
parser.add_option('','--dump-graph',dest='dumpGraph',default='', metavar='FILE',
help="output dataflow in dot format (suitable for display with graphviz")
parser.add_option('-s','--data-block-size',dest='buffer_size',type='int',default=None,
help='Prefered size for data blocks.')
parser.add_option('','--show',dest='showFeatures',default=None,
help='Show all features in a H5 file')
(options,audiofiles) = parser.parse_args()
if options.listFeatures:
listFeatures()
return
if options.describe:
if options.describe in yaafe.getOutputFormatList():
describeOutputFormat(options.describe)
else:
describeFeature(options.describe)
return
if options.showFeatures:
showFeatures(options.showFeatures)
return
if not options.sample_rate:
print "ERROR: please specify sample rate !"
return 1
if options.buffer_size:
yaafe.setPreferedDataBlockSize(options.buffer_size)
if options.verbose:
yaafe.setVerbose(True)
# initialize feature plan
fp = yaafe.FeaturePlan(sample_rate=options.sample_rate,
normalize=(options.normalize_max if options.normalize else None),
resample=options.resample)
if options.configFile:
if not fp.loadFeaturePlan(options.configFile):
return
elif options.feature:
for feat in options.feature:
if not fp.addFeature(feat):
return 1
if options.dumpDataflow:
fp.getDataFlow().save(options.dumpDataflow)
if options.dumpGraph:
fp.getDataFlow().save(options.dumpGraph)
# read audio file list
if options.input_list:
fin = open(options.input_list,'r')
for line in fin:
audiofiles.append(line.strip())
fin.close()
if audiofiles:
# initialize engine
engine = yaafe.Engine()
if not engine.load(fp.getDataFlow()):
return 1
# initialize file processor
afp = yaafe.AudioFileProcessor()
oparams = dict()
for pstr in options.formatparams:
pstrdata = pstr.split('=')
if len(pstrdata)!=2:
print 'ERROR: invalid parameter syntax in "%s" (should be "key=value")'%pstr
return 1
oparams[pstrdata[0]] = pstrdata[1]
### Adaptions for CBA
# afp.setOutputFormat(options.format,options.out_dir,oparams) # don't set output format
# process audio files
for audiofile in audiofiles:
if afp.processFile(engine,audiofile) != 0:
return 1
feats=engine.readAllOutputs() # output values directly to shell
import numpy as np # import numpy for next command
np.set_printoptions(threshold='nan') # disable cropping of large arrays
import json
print json.dumps(feats,cls=NumpyAwareJSONEncoder)
