def parse_progress(self, line):
if self.duration == None:
match = self.re_duration.search(line)
if match:
self.duration = subutils.ts2ms(match.group(0)[10:21])
else:
match = self.re_position.search(line)
if match:
self.progress = subutils.ts2ms(match.group(0)[5:]) / float(self.duration)
self.emit('progress', self.progress if self.progress <= 1 else 1)
def parse_progress(self, line):
if self.duration == None:
match = self.re_duration.search(line)
if match:
self.duration = subutils.ts2ms(match.group(0)[10:21])
else:
match = self.re_position.search(line)
if match:
progress = subutils.ts2ms(match.group(0)[5:]) / self.duration
GObject.idle_add(self.signal_progress,
float(progress if progress <= 1 else 1))
def parse_progress(self, line):
if self.duration == None:
match = self.re_duration.search(line)
if match:
self.duration = subutils.ts2ms(match.group(0)[10:21])
else:
match = self.re_position.search(line)
if match:
self.progress = subutils.ts2ms(
match.group(0)[5:]) / self.duration
self.emit('progress',
self.progress if self.progress <= 1 else 1)
def msec(self, timeData):
if type(timeData) == isinstance(timeData, timeStamp):
if self.__msec != timeData.__msec:
self.changed = True
self.__msec = timeData.__msec
if (type(timeData) == int) or (type(timeData) == float):
if self.__msec != int(timeData):
self.changed = True
self.__msec = timeData
if type(timeData) == str and subutils.is_timestamp(timeData):
if self.__msec != subutils.ts2ms(timeData):
self.changed = True
self.__msec = subutils.ts2ms(timeData)
def __add__(self, other):
if type(other) == int or type(other) == float:
return timeStamp(self.__msec + other)
if isinstance(other, timeStamp):
return timeStamp(self.__msec + other.__msec)
if type(other) == str:
if not subutils.is_timestamp(other):
raise Exception(
"Expected Integer, Timestamp or Timestamp class object")
return timeStamp(self.__msec + subutils.ts2ms(other))
def get_spect(data, audio_rate = 8000):
return signal.spectrogram( data, audio_rate, scaling = 'spectrum' )
def get_spect_from_file(filename, audio_rate = 8000):
return signal.spectrogram( open_data(filename), audio_rate, scaling = 'spectrum' )
def normalize_spec(spec):
spec_data = spec[2] - spec[2].mean()
spec_data //= spec_data.std()
return (spec[0], spec[1], spec_data)
def t_slice(arr, startms, stopms):
startidx = iround(startms / 8)
stopidx = iround(stopms / 8)
return arr[startidx:stopidx]
if __name__ == "__main__":
from subutils import ts2ms
src_data = open_data('/home/phantome/tmp2/src-xsubedit.raw')
dst_data = open_data('/home/phantome/tmp2/dst-xsubedit.raw')
#spec1 = normalize_spec(get_spect(src_data))
#spec2 = normalize_spec(get_spect(dst_data))
#print 'calc matching'
#res = match(spec1, spec2, ts2ms('00:10:20,005'), ts2ms('00:10:22,743'), ts2ms('00:09:00,000'))
print (CDM(t_slice(src_data, ts2ms('00:10:20,005'), ts2ms('00:10:22,743')), t_slice(dst_data, ts2ms('00:12:24,372'), ts2ms('00:12:27,110'))))
#if not (res is None):
# print res, ms2ts(int(res[0])), ms2ts(int(res[1]))
