def process(request, pmei_id):
# query db for the mei file containing the pitch information
pmei = get_object_or_404(MeiPitch, pk=pmei_id)
try:
frets = int(request.GET['frets'])
capo = int(request.GET['capo'])
tuning = request.GET['tuning']
pitch_sanitize_prune = True if request.GET['sanitize'] == 'prune' else False
except KeyError:
return HttpResponse("Need to specify number of frets, capo position, and guitar tuning")
guitar = GuitarModel(
num_frets=frets,
capo=capo,
tuning=tuning
)
guitar.save()
taber = Tabulate(fk_pmei=pmei, fk_guitar=guitar, pitch_sanitize_prune=pitch_sanitize_prune)
# writing to the database writes the start timestamp
taber.save()
# TODO: create spinner on interface
taber.gen_tab()
# redirect to tab display page
return HttpResponseRedirect('/display/%d' % taber.fk_tmei.id)
def process(request, pmei_id):
# query db for the mei file containing the pitch information
pmei = get_object_or_404(MeiPitch, pk=pmei_id)
try:
frets = int(request.GET['frets'])
capo = int(request.GET['capo'])
tuning = request.GET['tuning']
pitch_sanitize_prune = True if request.GET[
'sanitize'] == 'prune' else False
except KeyError:
return HttpResponse(
"Need to specify number of frets, capo position, and guitar tuning"
)
guitar = GuitarModel(num_frets=frets, capo=capo, tuning=tuning)
guitar.save()
taber = Tabulate(fk_pmei=pmei,
fk_guitar=guitar,
pitch_sanitize_prune=pitch_sanitize_prune)
# writing to the database writes the start timestamp
taber.save()
# TODO: create spinner on interface
taber.gen_tab()
# redirect to tab display page
return HttpResponseRedirect('/display/%d' % taber.fk_tmei.id)
def transcribe(self, frets, capo, tuning, pitch_sanitize_prune, audio_url):
# get path of audio file being transcribed
path = os.path.join(settings.MEDIA_ROOT, str(self.fk_audio.audio_file))
####################
# PITCH ESTIMATION #
####################
guitar = GuitarModel(
num_frets=frets,
capo=capo,
tuning=tuning
)
guitar.save()
pestimator = PitchDetect(fk_audio=self.fk_audio, fk_guitar=guitar, pitch_sanitize_prune=pitch_sanitize_prune)
# writing to the database writes the analysis start timestamp
pestimator.save()
pestimator.estimate_pitches(audio_url)
# attach the pitch detection analysis information to the transcription model
self.fk_pid = pestimator
########################
# TABLATURE GENERATION #
########################
taber = Tabulate(fk_pmei=self.fk_pid.fk_pmei, fk_guitar=guitar, pitch_sanitize_prune=pitch_sanitize_prune)
# writing to the database writes the analysis start timestamp
taber.save()
taber.gen_tab()
# attach the tablature to the transcription model
self.fk_tabid = taber
self.save()
def transcribe(self, frets, capo, tuning, pitch_sanitize_prune, audio_url):
# get path of audio file being transcribed
path = os.path.join(settings.MEDIA_ROOT, str(self.fk_audio.audio_file))
####################
# PITCH ESTIMATION #
####################
guitar = GuitarModel(num_frets=frets, capo=capo, tuning=tuning)
guitar.save()
pestimator = PitchDetect(fk_audio=self.fk_audio,
fk_guitar=guitar,
pitch_sanitize_prune=pitch_sanitize_prune)
# writing to the database writes the analysis start timestamp
pestimator.save()
pestimator.estimate_pitches(audio_url)
# attach the pitch detection analysis information to the transcription model
self.fk_pid = pestimator
########################
# TABLATURE GENERATION #
########################
taber = Tabulate(fk_pmei=self.fk_pid.fk_pmei,
fk_guitar=guitar,
pitch_sanitize_prune=pitch_sanitize_prune)
# writing to the database writes the analysis start timestamp
taber.save()
taber.gen_tab()
# attach the tablature to the transcription model
self.fk_tabid = taber
self.save()