525 lines
18 KiB
Python
525 lines
18 KiB
Python
import os,types,wave,json,array
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import numpy as np
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from rms_analysis import rms_analyze_one_rt_note
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from plot_seq_1 import get_merged_pulse_db_measurements
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class Calibrate:
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def __init__( self, cfg, audio, midi, api ):
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self.cfg = types.SimpleNamespace(**cfg)
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self.audio = audio
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self.midi = midi
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self.api = api
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self.state = "stopped" # stopped | started | note_on | note_off | analyzing
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self.playOnlyFl = False
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self.startMs = None
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self.nextStateChangeMs = None
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self.curHoldDutyCyclePctD = None # { pitch:dutyPct}
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self.noteAnnotationL = [] # (noteOnMs,noteOffMs,pitch,pulseUs)
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self.measD = None # { midi_pitch: [ {pulseUs, db, durMs, targetDb } ] }
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self.initPulseDbListD = self._get_init_pulseDbD()
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self.curNoteStartMs = None
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self.curPitchIdx = None
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self.curTargetDbIdx = None
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self.successN = None
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self.failN = None
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self.curTargetDb = None
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self.curPulseUs = None
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self.curMatchN = None
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self.curAttemptN = None
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self.lastAudiblePulseUs = None
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self.maxTooShortPulseUs = None
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self.pulseDbL = None
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self.deltaUpMult = None
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self.deltaDnMult = None
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self.skipMeasFl = None
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def start(self,ms):
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self.stop(ms)
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self.state = 'started'
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self.playOnlyFl = False
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self.nextStateChangeMs = ms + 500
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self.startMs = ms
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self.curPitchIdx = 0
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self.curPulseUs = self.cfg.initPulseUs
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self.lastAudiblePulseUs = None
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self.maxTooShortPulseUs = None
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self.pulseDbL = []
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self.pulseDbL = self.initPulseDbListD[ self.cfg.pitchL[ self.curPitchIdx ] ]
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self.deltaUpMult = 1
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self.deltaDnMult = 1
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self.curTargetDbIdx = -1
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self._start_new_db_target()
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self.curDutyPctD = {}
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self.skipMeasFl = False
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self.measD = {}
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self.successN = 0
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self.failN = 0
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self.audio.record_enable(True)
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def stop(self,ms):
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if self.midi is not None:
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self.midi.send_all_notes_off()
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self.audio.record_enable(False)
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if not self.playOnlyFl:
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self._save_results()
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def play(self,ms):
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if self.measD is None or len(self.measD) == 0:
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print("Nothing to play.")
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else:
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self.startMs = ms
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self.state = 'started'
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self.playOnlyFl = True
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self.nextStateChangeMs = ms + 500
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self.curPitchIdx = -1
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self.curTargetDbIdx = 0
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self.audio.record_enable(True)
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self._do_play_only_update()
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def tick(self,ms):
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if self.nextStateChangeMs is not None and ms > self.nextStateChangeMs:
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if self.state == 'stopped':
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pass
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elif self.state == 'started':
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self._do_note_on(ms)
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self.nextStateChangeMs += self.cfg.noteOnDurMs
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self.state = 'note_on'
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elif self.state == 'note_on':
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self._do_note_off(ms)
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self.nextStateChangeMs += self.cfg.noteOffDurMs
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self.state = 'note_off'
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elif self.state == 'note_off':
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if self.playOnlyFl:
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if not self._do_play_only_update():
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self.stop(ms)
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self.state = 'stopped'
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else:
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if self._do_analysis(ms):
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if not self._start_new_db_target():
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self.stop(ms)
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self.state = 'stopped'
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print("DONE!")
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# if the state was not changed to 'stopped'
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if self.state == 'note_off':
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self.state = 'started'
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def _calc_play_only_pulse_us( self, pitch, targetDb ):
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pulseDbL = []
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for d in self.measD[ pitch ]:
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if d['targetDb'] == targetDb and d['matchFl']==True:
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pulseDbL.append( ( d['pulse_us'], d[self.cfg.dbSrcLabel]['db']) )
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if len(pulseDbL) == 0:
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return -1
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pulseL,dbL = zip(*pulseDbL)
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# TODO: make a weighted average based on db error
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return np.mean(pulseL)
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def _do_play_only_update( self ):
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if self.curPitchIdx >= 0:
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self._meas_note( self.cfg.pitchL[self.curPitchIdx], self.curPulseUs )
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self.curPitchIdx +=1
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if self.curPitchIdx >= len(self.cfg.pitchL):
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self.curPitchIdx = 0
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self.curTargetDbIdx += 1
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if self.curTargetDbIdx >= len(self.cfg.targetDbL):
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return False
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pitch = self.cfg.pitchL[ self.curPitchIdx ]
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targetDb = self.cfg.targetDbL[ self.curTargetDbIdx ]
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self.curPulseUs = self._calc_play_only_pulse_us( pitch, targetDb )
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self.curTargetDb = targetDb
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if self.curPulseUs == -1:
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print("Pitch:%i TargetDb:%f not found." % (pitch,targetDb))
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return False
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print("Target db: %4.1f" % (targetDb))
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return True
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def _get_init_pulseDbD( self ):
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initPulseDbListD = {}
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print("Calculating initial calibration search us/db lists ...")
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if self.cfg.inDir is not None:
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for pitch in self.cfg.pitchL:
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print(pitch)
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inDir = os.path.expanduser( self.cfg.inDir )
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usL,dbL,_,_,_ = get_merged_pulse_db_measurements( inDir, pitch, self.cfg.analysisD )
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initPulseDbListD[pitch] = [ (us,db) for us,db in zip(usL,dbL) ]
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return initPulseDbListD
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def _get_duty_cycle( self, pitch, pulseUsec ):
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dutyPct = 50
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if pitch in self.cfg.holdDutyPctD:
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dutyPct = self.cfg.holdDutyPctD[pitch][0][1]
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for refUsec,refDuty in self.cfg.holdDutyPctD[pitch]:
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if pulseUsec < refUsec:
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break
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dutyPct = refDuty
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return dutyPct
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def _set_duty_cycle( self, pitch, pulseUsec ):
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dutyPct = self._get_duty_cycle( pitch, pulseUsec )
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if pitch not in self.curDutyPctD or self.curDutyPctD[pitch] != dutyPct:
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self.curDutyPctD[pitch] = dutyPct
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self.api.set_pwm_duty( pitch, dutyPct )
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print("Hold Duty Set:",dutyPct)
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self.skipMeasFl = True
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return dutyPct
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def _do_note_on(self,ms):
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self.curNoteStartMs = ms
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pitch = self.cfg.pitchL[ self.curPitchIdx]
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if self.midi is not None:
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self.midi.send_note_on( pitch, 60 )
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else:
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self._set_duty_cycle( pitch, self.curPulseUs )
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self.api.note_on_us( pitch, self.curPulseUs )
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print("note-on: ",pitch," ",self.curPulseUs," us")
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def _do_note_off(self,ms):
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self.noteAnnotationL.append( { 'beg_ms':self.curNoteStartMs-self.startMs, 'end_ms':ms-self.startMs, 'midi_pitch':self.cfg.pitchL[ self.curPitchIdx], 'pulse_us':self.curPulseUs } )
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if self.midi is not None:
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self.midi.send_note_off( self.cfg.pitchL[ self.curPitchIdx] )
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else:
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for pitch in self.cfg.pitchL:
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self.api.note_off( pitch )
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#print("note-off: ",self.cfg.pitchL[ self.curPitchIdx])
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def _proportional_step( self, targetDb, dbL, pulseL ):
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curPulse,curDb = self.pulseDbL[-1]
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# get the point closest to the target db
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i = np.argmin( np.array(dbL) - targetDb )
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# find the percentage difference to the target - based on the closest point
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pd = abs(curDb-targetDb) / abs(curDb - dbL[i])
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#
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delta_pulse = pd * abs(curPulse - pulseL[i])
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print("prop:",pd,"delta_pulse:",delta_pulse)
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return int(round(curPulse + np.sign(targetDb - curDb) * delta_pulse))
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def _step( self, targetDb ):
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# get the last two pulse/db samples
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pulse0,db0 = self.pulseDbL[-2]
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pulse1,db1 = self.pulseDbL[-1]
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# microseconds per decibel for the last two points
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us_per_db = abs(pulse0-pulse1) / abs(db0-db1)
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if us_per_db == 0:
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us_per_db = 10 # ************************************** CONSTANT ***********************
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# calcuate the decibels we need to move from the last point
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error_db = targetDb - db1
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print("us_per_db:",us_per_db," error db:", error_db )
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return pulse1 + us_per_db * error_db
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def _calc_next_pulse_us( self, targetDb ):
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# sort pulseDb ascending on db
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pulseDbL = sorted( self.pulseDbL, key=lambda x: x[1] )
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# get the set of us/db values tried so far
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pulseL,dbL = zip(*pulseDbL)
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max_i = np.argmax(dbL)
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min_i = np.argmin(dbL)
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# if the targetDb is greater than the max. db value achieved so far
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if targetDb > dbL[max_i]:
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pu = pulseL[max_i] + self.deltaUpMult * 500
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self.deltaUpMult += 1
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# if the targetDb is less than the min. db value achieved so far
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elif targetDb < dbL[min_i]:
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pu = pulseL[min_i] - self.deltaDnMult * 500
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self.deltaDnMult += 1
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if self.maxTooShortPulseUs is not None and pu < self.maxTooShortPulseUs:
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# BUG: this is a problem is self.pulseL[min_i] is <= than self.maxTooShortPulseUs
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# the abs() covers the problem to prevent decreasing from maxTooShortPulseus
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pu = self.maxTooShortPulseUs + (abs(pulseL[min_i] - self.maxTooShortPulseUs))/2
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self.deltaDnMult = 1
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else:
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# the targetDb value is inside the min/max range of the db values acheived so far
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self.deltaUpMult = 1
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self.deltaDnMult = 1
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# interpolate the new pulse value based on the values seen so far
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# TODO: use only closest 5 values rather than all values
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pu = np.interp([targetDb],dbL,pulseL)
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# the selected pulse has already been sampled
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if int(pu) in pulseL:
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pu = self._step(targetDb )
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return max(min(pu,self.cfg.maxPulseUs),self.cfg.minPulseUs)
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def _do_analysis(self,ms):
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analysisDoneFl = False
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midi_pitch = self.cfg.pitchL[self.curPitchIdx]
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pulse_us = self.curPulseUs
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measD = self._meas_note(midi_pitch,pulse_us)
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# if the the 'skip' flag is set then don't analyze this note
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if self.skipMeasFl:
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self.skipMeasFl = False
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print("SKIP")
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else:
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db = measD[self.cfg.dbSrcLabel]['db']
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durMs = measD['hm']['durMs']
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# if this note is shorter than the minimum allowable duration
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if durMs < self.cfg.minMeasDurMs:
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print("SHORT!")
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if self.maxTooShortPulseUs is None or self.curPulseUs > self.maxTooShortPulseUs:
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self.maxTooShortPulseUs = self.curPulseUs
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if self.lastAudiblePulseUs is not None and self.curPulseUs < self.lastAudiblePulseUs:
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self.curPulseUs = self.lastAudiblePulseUs
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else:
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self.curPulseUs = self.cfg.initPulseUs
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else:
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# this is a valid measurement, store it to the pulse-db table
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self.pulseDbL.append( (self.curPulseUs,db) )
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# track the most recent audible note (to return to if a successive note is too short)
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self.lastAudiblePulseUs = self.curPulseUs
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# calc the upper and lower bounds db range
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lwr_db = self.curTargetDb * ((100.0 - self.cfg.tolDbPct)/100.0)
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upr_db = self.curTargetDb * ((100.0 + self.cfg.tolDbPct)/100.0)
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# if this note was inside the db range then set the 'match' flag
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if lwr_db <= db and db <= upr_db:
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self.curMatchN += 1
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measD['matchFl'] = True
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print("MATCH!")
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# calculate the next pulse length
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self.curPulseUs = int(self._calc_next_pulse_us(self.curTargetDb))
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# if at least minMatchN matches have been made on this pitch/targetDb
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if self.curMatchN >= self.cfg.minMatchN:
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analysisDoneFl = True
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self.successN += 1
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print("Anysis Done: Success")
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# if at least maxAttemptN match attempts have been made without success
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self.curAttemptN += 1
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if self.curAttemptN >= self.cfg.maxAttemptN:
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analysisDoneFl = True
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self.failN += 1
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print("Analysis Done: Fail")
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if midi_pitch not in self.measD:
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self.measD[ midi_pitch ] = []
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self.measD[ midi_pitch ].append( measD )
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return analysisDoneFl
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def _meas_note(self,midi_pitch,pulse_us):
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# get the annotation information for the last note
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annD = self.noteAnnotationL[-1]
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buf_result = self.audio.linear_buffer()
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if buf_result:
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sigV = buf_result.value
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# get the annotated begin and end of the note as sample indexes into sigV
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bi = int(round(annD['beg_ms'] * self.audio.srate / 1000))
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ei = int(round(annD['end_ms'] * self.audio.srate / 1000))
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# calculate half the length of the note-off duration in samples
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noteOffSmp_o_2 = int(round( (self.cfg.noteOffDurMs/2) * self.audio.srate / 1000))
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# widen the note analysis space noteOffSmp_o_2 samples pre/post the annotated begin/end of the note
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bi = max(0,bi - noteOffSmp_o_2)
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ei = min(ei+noteOffSmp_o_2,sigV.shape[0]-1)
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ar = types.SimpleNamespace(**self.cfg.analysisD)
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# shift the annotatd begin/end of the note to be relative to index bi
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begMs = noteOffSmp_o_2 * 1000 / self.audio.srate
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endMs = begMs + (annD['end_ms'] - annD['beg_ms'])
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#print("MEAS:",begMs,endMs,bi,ei,sigV.shape,self.audio.is_recording_enabled(),ar)
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# analyze the note
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resD = rms_analyze_one_rt_note( sigV[bi:ei], self.audio.srate, begMs, endMs, midi_pitch, rmsWndMs=ar.rmsWndMs, rmsHopMs=ar.rmsHopMs, dbLinRef=ar.dbLinRef, harmCandN=ar.harmCandN, harmN=ar.harmN, durDecayPct=ar.durDecayPct )
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resD["pulse_us"] = pulse_us
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resD["midi_pitch"] = midi_pitch
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resD["beg_ms"] = annD['beg_ms']
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resD['end_ms'] = annD['end_ms']
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resD['skipMeasFl'] = self.skipMeasFl
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resD['matchFl'] = False
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resD['targetDb'] = self.curTargetDb
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resD['annIdx'] = len(self.noteAnnotationL)-1
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print( "%4.1f hm:%4.1f (%4.1f) %4i td:%4.1f (%4.1f) %4i" % (self.curTargetDb,resD['hm']['db'], resD['hm']['db']-self.curTargetDb, resD['hm']['durMs'], resD['td']['db'], resD['td']['db']-self.curTargetDb, resD['td']['durMs']))
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return resD
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def _start_new_db_target(self):
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self.curTargetDbIdx += 1
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# if all db targets have been queried then advance to the next pitch
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if self.curTargetDbIdx >= len(self.cfg.targetDbL):
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self.curTargetDbIdx = 0
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self.curPitchIdx += 1
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# if all pitches have been queried then we are done
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if self.curPitchIdx >= len(self.cfg.pitchL):
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return False
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# reset the variables prior to begining the next target search
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self.curTargetDb = self.cfg.targetDbL[ self.curTargetDbIdx ]
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self.curMatchN = 0
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self.curAttemptN = 0
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self.lastAudiblePulseUs = None
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self.maxTooShortPulseUs = None
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self.pulseDbL = []
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self.pulseDbL = self.initPulseDbListD[ self.cfg.pitchL[ self.curPitchIdx ] ]
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self.deltaUpMult = 1
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self.deltaDnMult = 1
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return True
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def _write_16_bit_wav_file( self, fn ):
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srate = int(self.audio.srate)
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buf_result = self.audio.linear_buffer()
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sigV = buf_result.value
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smpN = sigV.shape[0]
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chN = 1
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sigV = np.squeeze(sigV.reshape( smpN * chN, )) * 0x7fff
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sigL = [ int(round(sigV[i])) for i in range(smpN) ]
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sigA = array.array('h',sigL)
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with wave.open( fn, "wb") as f:
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bits = 16
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bits_per_byte = 8
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f.setparams((chN, bits//bits_per_byte, srate, 0, 'NONE', 'not compressed'))
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f.writeframes(sigA)
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def _save_results( self ):
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if self.measD is None or len(self.measD) == 0:
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return
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outDir = os.path.expanduser( self.cfg.outDir )
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if not os.path.isdir(outDir):
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os.mkdir(outDir)
|
|
|
|
outDir = os.path.join( outDir, self.cfg.outLabel )
|
|
|
|
if not os.path.isdir(outDir):
|
|
os.mkdir(outDir)
|
|
|
|
i = 0
|
|
while( os.path.isdir( os.path.join(outDir,"%i" % i )) ):
|
|
i += 1
|
|
|
|
outDir = os.path.join( outDir, "%i" % i )
|
|
os.mkdir(outDir)
|
|
|
|
self._write_16_bit_wav_file( os.path.join(outDir,"audio.wav"))
|
|
|
|
d = {'cfg':self.cfg.__dict__, 'measD': self.measD, 'annoteL':self.noteAnnotationL }
|
|
|
|
with open( os.path.join(outDir,"meas.json"), "w") as f:
|
|
json.dump(d,f)
|
|
|
|
|