def SetChannel(self, new_channel):
"""Set a new channel, estimates the values to be displayed.
:param new_channel: (sppasChannel)
"""
# Set the channel
self._channel = new_channel
wx.BeginBusyCursor()
b = wx.BusyInfo("Please wait while loading and analyzing data...")
# To estimate values related to amplitude
frames = self._channel.get_frames(self._channel.get_nframes())
self._ca = sppasAudioFrames(frames, self._channel.get_sampwidth(), 1)
# Estimates the RMS (=volume), then find where are silences, then IPUs
self._cv = sppasChannelSilence(self._channel)
self._cv.search_silences() # threshold=0, mintrackdur=0.08
self._cv.filter_silences() # minsildur=0.2
self._tracks = self._cv.extract_tracks() # mintrackdur=0.3
b.Destroy()
b = None
wx.EndBusyCursor()
def SetChannel(self, new_channel):
""" Set a new channel, estimates the values to be displayed.
:param new_channel: (sppasChannel)
"""
# Set the channel
self._channel = new_channel
wx.BeginBusyCursor()
b = wx.BusyInfo("Please wait while loading and analyzing data...")
# To estimate values related to amplitude
frames = self._channel.get_frames(self._channel.get_nframes())
self._ca = sppasAudioFrames(frames, self._channel.get_sampwidth(), 1)
# Estimates the RMS (=volume), then find where are silences, then IPUs
self._cv = sppasChannelSilence(self._channel)
self._cv.search_silences() # threshold=0, mintrackdur=0.08
self._cv.filter_silences() # minsildur=0.2
self._tracks = self._cv.extract_tracks() # mintrackdur=0.3
b.Destroy()
b = None
wx.EndBusyCursor()
print(" - max: {:d}".format(audiovol.max()))
print(" - mean: {:.2f}".format(audiovol.mean()))
print(" - median: {:.2f}".format(audiovol.median()))
print(" - stdev: {:.2f}".format(audiovol.stdev()))
print(" - coefvariation: {:.2f}".format(audiovol.coefvariation()))
else:
for n in range(nc):
print("Channel {:d}".format(n))
cidx = audio.extract_channel(n)
channel = audio.get_channel(cidx)
# Values related to amplitude
frames = channel.get_frames(channel.get_nframes())
ca = sppasAudioFrames(frames, channel.get_sampwidth(), 1)
for i in range(2, 9, 2):
f = float(i)/10.
c = ca.clipping_rate(f) * 100.
print(" - factor={:.1f}: {:.3f}".format(f, c))
# RMS (=volume)
cv = sppasChannelVolume(channel)
print(" Volume:")
print(" - min: {:d}".format(cv.min()))
print(" - max: {:d}".format(cv.max()))
print(" - mean: {:.2f}".format(cv.mean()))
print(" - median: {:.2f}".format(cv.median()))
print(" - stdev: {:.2f}".format(cv.stdev()))
print(" - coefvariation: {:.2f}".format(cv.coefvariation()))
if verbose > 1:
print("\nBegin getting factor at %s" %
time.strftime('%d/%m/%y %H:%M:%S', time.localtime()))
if p:
p.update(0.1, "Left")
minleft, maxleft = mixer_left.get_minmax()
if p:
p.update(0.5, "Right")
minright, maxright = mixer_right.get_minmax()
if p:
p.update(0.9, "Attenuator estimation")
maxval = max(maxleft, maxright)
maxvalth = sppasAudioFrames().get_maxval(sampleswidth)
if maxval > maxvalth:
attenuator = float(maxvalth) / maxval * 0.95
else:
attenuator = 1
if verbose > 0:
p.update(1, "")
del p
if verbose > 1:
print("\nEnd getting factor at %s" %
time.strftime('%d/%m/%y %H:%M:%S', time.localtime()))
# ========================MIX============================#
print(" - max: {:d}".format(audiovol.max()))
print(" - mean: {:.2f}".format(audiovol.mean()))
print(" - median: {:.2f}".format(audiovol.median()))
print(" - stdev: {:.2f}".format(audiovol.stdev()))
print(" - coefvariation: {:.2f}".format(audiovol.coefvariation()))
else:
for n in range(nc):
print("Channel {:d}".format(n))
cidx = audio.extract_channel(n)
channel = audio.get_channel(cidx)
# Values related to amplitude
frames = channel.get_frames(channel.get_nframes())
ca = sppasAudioFrames(frames, channel.get_sampwidth(), 1)
for i in range(2, 9, 2):
f = float(i) / 10.
c = ca.clipping_rate(f) * 100.
print(" - factor={:.1f}: {:.3f}".format(f, c))
# RMS (=volume)
cv = sppasChannelVolume(channel)
print(" Volume:")
print(" - min: {:d}".format(cv.min()))
print(" - max: {:d}".format(cv.max()))
print(" - mean: {:.2f}".format(cv.mean()))
print(" - median: {:.2f}".format(cv.median()))
print(" - stdev: {:.2f}".format(cv.stdev()))
print(" - coefvariation: {:.2f}".format(cv.coefvariation()))
if verbose > 1:
print("\nBegin getting factor at %s" %
time.strftime('%d/%m/%y %H:%M:%S', time.localtime()))
if p:
p.update(0.1, "Left")
minleft, maxleft = mixer_left.get_minmax()
if p:
p.update(0.5, "Right")
minright, maxright = mixer_right.get_minmax()
if p:
p.update(0.9, "Attenuator estimation")
maxval = max(maxleft, maxright)
maxvalth = sppasAudioFrames().get_maxval(sampleswidth)
if maxval > maxvalth:
attenuator = float(maxvalth)/maxval*0.95
else:
attenuator = 1
if verbose > 0:
p.update(1, "")
del p
if verbose > 1:
print("\nEnd getting factor at %s" %
time.strftime('%d/%m/%y %H:%M:%S', time.localtime()))
# ========================MIX============================#