Module note_seq.drums_lib
Utility functions for working with drums.
Use extract_drum_tracks to extract drum tracks from a quantized NoteSequence.
Use DrumTrack.to_sequence to write a drum track to a NoteSequence proto. Then use midi_io.sequence_proto_to_midi_file to write that NoteSequence to a midi file.
Expand source code
# Copyright 2021 The Magenta Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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# See the License for the specific language governing permissions and
# limitations under the License.
"""Utility functions for working with drums.
Use extract_drum_tracks to extract drum tracks from a quantized NoteSequence.
Use DrumTrack.to_sequence to write a drum track to a NoteSequence proto. Then
use midi_io.sequence_proto_to_midi_file to write that NoteSequence to a midi
file.
"""
import collections
import operator
from note_seq import constants
from note_seq import events_lib
from note_seq import midi_io
from note_seq import sequences_lib
from note_seq.protobuf import music_pb2
MIN_MIDI_PITCH = constants.MIN_MIDI_PITCH
MAX_MIDI_PITCH = constants.MAX_MIDI_PITCH
DEFAULT_STEPS_PER_BAR = constants.DEFAULT_STEPS_PER_BAR
DEFAULT_STEPS_PER_QUARTER = constants.DEFAULT_STEPS_PER_QUARTER
STANDARD_PPQ = constants.STANDARD_PPQ
class DrumTrack(events_lib.SimpleEventSequence):
"""Stores a quantized stream of drum events.
DrumTrack is an intermediate representation that all drum models can use.
Quantized sequence to DrumTrack code will do work to align drum notes and
extract drum tracks. Model-specific code then needs to convert DrumTrack
to SequenceExample protos for TensorFlow.
DrumTrack implements an iterable object. Simply iterate to retrieve the drum
events.
DrumTrack events are Python frozensets of simultaneous MIDI drum "pitches",
where each pitch indicates a type of drum. An empty frozenset indicates no
drum notes. Unlike melody notes, drum notes are not considered to have
durations.
Drum tracks can start at any non-negative time, and are shifted left so that
the bar containing the first drum event is the first bar.
Attributes:
start_step: The offset of the first step of the drum track relative to the
beginning of the source sequence. Will always be the first step of a
bar.
end_step: The offset to the beginning of the bar following the last step
of the drum track relative the beginning of the source sequence. Will
always be the first step of a bar.
steps_per_quarter: Number of steps in in a quarter note.
steps_per_bar: Number of steps in a bar (measure) of music.
"""
def __init__(self, events=None, **kwargs):
"""Construct a DrumTrack."""
if 'pad_event' in kwargs:
del kwargs['pad_event']
super(DrumTrack, self).__init__(pad_event=frozenset(),
events=events, **kwargs)
def _from_event_list(self, events, start_step=0,
steps_per_bar=DEFAULT_STEPS_PER_BAR,
steps_per_quarter=DEFAULT_STEPS_PER_QUARTER):
"""Initializes with a list of event values and sets attributes.
Args:
events: List of drum events to set drum track to.
start_step: The integer starting step offset.
steps_per_bar: The number of steps in a bar.
steps_per_quarter: The number of steps in a quarter note.
Raises:
ValueError: If `events` contains an event that is not a valid drum event.
"""
for event in events:
if not isinstance(event, frozenset):
raise ValueError('Invalid drum event: %s' % event)
if not all(MIN_MIDI_PITCH <= drum <= MAX_MIDI_PITCH for drum in event):
raise ValueError('Drum event contains invalid note: %s' % event)
super(DrumTrack, self)._from_event_list(
events, start_step=start_step, steps_per_bar=steps_per_bar,
steps_per_quarter=steps_per_quarter)
def append(self, event):
"""Appends the event to the end of the drums and increments the end step.
Args:
event: The drum event to append to the end.
Raises:
ValueError: If `event` is not a valid drum event.
"""
if not isinstance(event, frozenset):
raise ValueError('Invalid drum event: %s' % event)
if not all(MIN_MIDI_PITCH <= drum <= MAX_MIDI_PITCH for drum in event):
raise ValueError('Drum event contains invalid note: %s' % event)
super(DrumTrack, self).append(event)
def from_quantized_sequence(self,
quantized_sequence,
search_start_step=0,
gap_bars=1,
pad_end=False,
ignore_is_drum=False):
"""Populate self with drums from the given quantized NoteSequence object.
A drum track is extracted from the given quantized sequence starting at time
step `start_step`. `start_step` can be used to drive extraction of multiple
drum tracks from the same quantized sequence. The end step of the extracted
drum track will be stored in `self._end_step`.
0 velocity notes are ignored. The drum extraction is ended when there are
no drums for a time stretch of `gap_bars` in bars (measures) of music. The
number of time steps per bar is computed from the time signature in
`quantized_sequence`.
Each drum event is a Python frozenset of simultaneous (after quantization)
drum "pitches", or an empty frozenset to indicate no drums are played.
Args:
quantized_sequence: A quantized NoteSequence instance.
search_start_step: Start searching for drums at this time step. Assumed to
be the beginning of a bar.
gap_bars: If this many bars or more follow a non-empty drum event, the
drum track is ended.
pad_end: If True, the end of the drums will be padded with empty events so
that it will end at a bar boundary.
ignore_is_drum: Whether accept notes where `is_drum` is False.
Raises:
NonIntegerStepsPerBarError: If `quantized_sequence`'s bar length
(derived from its time signature) is not an integer number of time
steps.
"""
sequences_lib.assert_is_relative_quantized_sequence(quantized_sequence)
self._reset()
steps_per_bar_float = sequences_lib.steps_per_bar_in_quantized_sequence(
quantized_sequence)
if steps_per_bar_float % 1 != 0:
raise events_lib.NonIntegerStepsPerBarError(
'There are %f timesteps per bar. Time signature: %d/%d' %
(steps_per_bar_float, quantized_sequence.time_signatures[0].numerator,
quantized_sequence.time_signatures[0].denominator))
self._steps_per_bar = steps_per_bar = int(steps_per_bar_float)
self._steps_per_quarter = (
quantized_sequence.quantization_info.steps_per_quarter)
# Group all drum notes that start at the same step.
all_notes = [note for note in quantized_sequence.notes
if ((note.is_drum or ignore_is_drum) # drums only
and note.velocity # no zero-velocity notes
# after start_step only
and note.quantized_start_step >= search_start_step)]
grouped_notes = collections.defaultdict(list)
for note in all_notes:
grouped_notes[note.quantized_start_step].append(note)
# Sort by note start times.
notes = sorted(grouped_notes.items(), key=operator.itemgetter(0))
if not notes:
return
gap_start_index = 0
track_start_step = (
notes[0][0] - (notes[0][0] - search_start_step) % steps_per_bar)
for start, group in notes:
start_index = start - track_start_step
pitches = frozenset(note.pitch for note in group)
# If a gap of `gap` or more steps is found, end the drum track.
note_distance = start_index - gap_start_index
if len(self) and note_distance >= gap_bars * steps_per_bar: # pylint:disable=len-as-condition
break
# Add a drum event, a set of drum "pitches".
self.set_length(start_index + 1)
self._events[start_index] = pitches
gap_start_index = start_index + 1
if not self._events:
# If no drum events were added, don't set `_start_step` and `_end_step`.
return
self._start_step = track_start_step
length = len(self)
# Optionally round up `_end_step` to a multiple of `steps_per_bar`.
if pad_end:
length += -len(self) % steps_per_bar
self.set_length(length)
def to_sequence(self,
velocity=100,
instrument=9,
program=0,
sequence_start_time=0.0,
qpm=120.0):
"""Converts the DrumTrack to NoteSequence proto.
Args:
velocity: Midi velocity to give each note. Between 1 and 127 (inclusive).
instrument: Midi instrument to give each note.
program: Midi program to give each note.
sequence_start_time: A time in seconds (float) that the first event in the
sequence will land on.
qpm: Quarter notes per minute (float).
Returns:
A NoteSequence proto encoding the given drum track.
"""
seconds_per_step = 60.0 / qpm / self.steps_per_quarter
sequence = music_pb2.NoteSequence()
sequence.tempos.add().qpm = qpm
sequence.ticks_per_quarter = STANDARD_PPQ
sequence_start_time += self.start_step * seconds_per_step
for step, event in enumerate(self):
for pitch in event:
# Add a note. All drum notes last a single step.
note = sequence.notes.add()
note.start_time = step * seconds_per_step + sequence_start_time
note.end_time = (step + 1) * seconds_per_step + sequence_start_time
note.pitch = pitch
note.velocity = velocity
note.instrument = instrument
note.program = program
note.is_drum = True
if sequence.notes:
sequence.total_time = sequence.notes[-1].end_time
return sequence
def increase_resolution(self, k):
"""Increase the resolution of a DrumTrack.
Increases the resolution of a DrumTrack object by a factor of `k`. This uses
empty events to extend each event in the drum track to be `k` steps long.
Args:
k: An integer, the factor by which to increase the resolution of the
drum track.
"""
super(DrumTrack, self).increase_resolution(
k, fill_event=frozenset())
def midi_file_to_drum_track(midi_file, steps_per_quarter=4):
"""Loads a drum track from a MIDI file.
Args:
midi_file: Absolute path to MIDI file.
steps_per_quarter: Quantization of DrumTrack. For example, 4 = 16th notes.
Returns:
A DrumTrack object extracted from the MIDI file.
"""
sequence = midi_io.midi_file_to_sequence_proto(midi_file)
quantized_sequence = sequences_lib.quantize_note_sequence(
sequence, steps_per_quarter=steps_per_quarter)
drum_track = DrumTrack()
drum_track.from_quantized_sequence(quantized_sequence)
return drum_trackFunctions
def midi_file_to_drum_track(midi_file, steps_per_quarter=4)-
Loads a drum track from a MIDI file.
Args
midi_file- Absolute path to MIDI file.
steps_per_quarter- Quantization of DrumTrack. For example, 4 = 16th notes.
Returns
A DrumTrack object extracted from the MIDI file.
Expand source code
def midi_file_to_drum_track(midi_file, steps_per_quarter=4): """Loads a drum track from a MIDI file. Args: midi_file: Absolute path to MIDI file. steps_per_quarter: Quantization of DrumTrack. For example, 4 = 16th notes. Returns: A DrumTrack object extracted from the MIDI file. """ sequence = midi_io.midi_file_to_sequence_proto(midi_file) quantized_sequence = sequences_lib.quantize_note_sequence( sequence, steps_per_quarter=steps_per_quarter) drum_track = DrumTrack() drum_track.from_quantized_sequence(quantized_sequence) return drum_track
Classes
class DrumTrack (events=None, **kwargs)-
Stores a quantized stream of drum events.
DrumTrack is an intermediate representation that all drum models can use. Quantized sequence to DrumTrack code will do work to align drum notes and extract drum tracks. Model-specific code then needs to convert DrumTrack to SequenceExample protos for TensorFlow.
DrumTrack implements an iterable object. Simply iterate to retrieve the drum events.
DrumTrack events are Python frozensets of simultaneous MIDI drum "pitches", where each pitch indicates a type of drum. An empty frozenset indicates no drum notes. Unlike melody notes, drum notes are not considered to have durations.
Drum tracks can start at any non-negative time, and are shifted left so that the bar containing the first drum event is the first bar.
Attributes
start_step- The offset of the first step of the drum track relative to the beginning of the source sequence. Will always be the first step of a bar.
end_step- The offset to the beginning of the bar following the last step of the drum track relative the beginning of the source sequence. Will always be the first step of a bar.
steps_per_quarter- Number of steps in in a quarter note.
steps_per_bar- Number of steps in a bar (measure) of music.
Construct a DrumTrack.
Expand source code
class DrumTrack(events_lib.SimpleEventSequence): """Stores a quantized stream of drum events. DrumTrack is an intermediate representation that all drum models can use. Quantized sequence to DrumTrack code will do work to align drum notes and extract drum tracks. Model-specific code then needs to convert DrumTrack to SequenceExample protos for TensorFlow. DrumTrack implements an iterable object. Simply iterate to retrieve the drum events. DrumTrack events are Python frozensets of simultaneous MIDI drum "pitches", where each pitch indicates a type of drum. An empty frozenset indicates no drum notes. Unlike melody notes, drum notes are not considered to have durations. Drum tracks can start at any non-negative time, and are shifted left so that the bar containing the first drum event is the first bar. Attributes: start_step: The offset of the first step of the drum track relative to the beginning of the source sequence. Will always be the first step of a bar. end_step: The offset to the beginning of the bar following the last step of the drum track relative the beginning of the source sequence. Will always be the first step of a bar. steps_per_quarter: Number of steps in in a quarter note. steps_per_bar: Number of steps in a bar (measure) of music. """ def __init__(self, events=None, **kwargs): """Construct a DrumTrack.""" if 'pad_event' in kwargs: del kwargs['pad_event'] super(DrumTrack, self).__init__(pad_event=frozenset(), events=events, **kwargs) def _from_event_list(self, events, start_step=0, steps_per_bar=DEFAULT_STEPS_PER_BAR, steps_per_quarter=DEFAULT_STEPS_PER_QUARTER): """Initializes with a list of event values and sets attributes. Args: events: List of drum events to set drum track to. start_step: The integer starting step offset. steps_per_bar: The number of steps in a bar. steps_per_quarter: The number of steps in a quarter note. Raises: ValueError: If `events` contains an event that is not a valid drum event. """ for event in events: if not isinstance(event, frozenset): raise ValueError('Invalid drum event: %s' % event) if not all(MIN_MIDI_PITCH <= drum <= MAX_MIDI_PITCH for drum in event): raise ValueError('Drum event contains invalid note: %s' % event) super(DrumTrack, self)._from_event_list( events, start_step=start_step, steps_per_bar=steps_per_bar, steps_per_quarter=steps_per_quarter) def append(self, event): """Appends the event to the end of the drums and increments the end step. Args: event: The drum event to append to the end. Raises: ValueError: If `event` is not a valid drum event. """ if not isinstance(event, frozenset): raise ValueError('Invalid drum event: %s' % event) if not all(MIN_MIDI_PITCH <= drum <= MAX_MIDI_PITCH for drum in event): raise ValueError('Drum event contains invalid note: %s' % event) super(DrumTrack, self).append(event) def from_quantized_sequence(self, quantized_sequence, search_start_step=0, gap_bars=1, pad_end=False, ignore_is_drum=False): """Populate self with drums from the given quantized NoteSequence object. A drum track is extracted from the given quantized sequence starting at time step `start_step`. `start_step` can be used to drive extraction of multiple drum tracks from the same quantized sequence. The end step of the extracted drum track will be stored in `self._end_step`. 0 velocity notes are ignored. The drum extraction is ended when there are no drums for a time stretch of `gap_bars` in bars (measures) of music. The number of time steps per bar is computed from the time signature in `quantized_sequence`. Each drum event is a Python frozenset of simultaneous (after quantization) drum "pitches", or an empty frozenset to indicate no drums are played. Args: quantized_sequence: A quantized NoteSequence instance. search_start_step: Start searching for drums at this time step. Assumed to be the beginning of a bar. gap_bars: If this many bars or more follow a non-empty drum event, the drum track is ended. pad_end: If True, the end of the drums will be padded with empty events so that it will end at a bar boundary. ignore_is_drum: Whether accept notes where `is_drum` is False. Raises: NonIntegerStepsPerBarError: If `quantized_sequence`'s bar length (derived from its time signature) is not an integer number of time steps. """ sequences_lib.assert_is_relative_quantized_sequence(quantized_sequence) self._reset() steps_per_bar_float = sequences_lib.steps_per_bar_in_quantized_sequence( quantized_sequence) if steps_per_bar_float % 1 != 0: raise events_lib.NonIntegerStepsPerBarError( 'There are %f timesteps per bar. Time signature: %d/%d' % (steps_per_bar_float, quantized_sequence.time_signatures[0].numerator, quantized_sequence.time_signatures[0].denominator)) self._steps_per_bar = steps_per_bar = int(steps_per_bar_float) self._steps_per_quarter = ( quantized_sequence.quantization_info.steps_per_quarter) # Group all drum notes that start at the same step. all_notes = [note for note in quantized_sequence.notes if ((note.is_drum or ignore_is_drum) # drums only and note.velocity # no zero-velocity notes # after start_step only and note.quantized_start_step >= search_start_step)] grouped_notes = collections.defaultdict(list) for note in all_notes: grouped_notes[note.quantized_start_step].append(note) # Sort by note start times. notes = sorted(grouped_notes.items(), key=operator.itemgetter(0)) if not notes: return gap_start_index = 0 track_start_step = ( notes[0][0] - (notes[0][0] - search_start_step) % steps_per_bar) for start, group in notes: start_index = start - track_start_step pitches = frozenset(note.pitch for note in group) # If a gap of `gap` or more steps is found, end the drum track. note_distance = start_index - gap_start_index if len(self) and note_distance >= gap_bars * steps_per_bar: # pylint:disable=len-as-condition break # Add a drum event, a set of drum "pitches". self.set_length(start_index + 1) self._events[start_index] = pitches gap_start_index = start_index + 1 if not self._events: # If no drum events were added, don't set `_start_step` and `_end_step`. return self._start_step = track_start_step length = len(self) # Optionally round up `_end_step` to a multiple of `steps_per_bar`. if pad_end: length += -len(self) % steps_per_bar self.set_length(length) def to_sequence(self, velocity=100, instrument=9, program=0, sequence_start_time=0.0, qpm=120.0): """Converts the DrumTrack to NoteSequence proto. Args: velocity: Midi velocity to give each note. Between 1 and 127 (inclusive). instrument: Midi instrument to give each note. program: Midi program to give each note. sequence_start_time: A time in seconds (float) that the first event in the sequence will land on. qpm: Quarter notes per minute (float). Returns: A NoteSequence proto encoding the given drum track. """ seconds_per_step = 60.0 / qpm / self.steps_per_quarter sequence = music_pb2.NoteSequence() sequence.tempos.add().qpm = qpm sequence.ticks_per_quarter = STANDARD_PPQ sequence_start_time += self.start_step * seconds_per_step for step, event in enumerate(self): for pitch in event: # Add a note. All drum notes last a single step. note = sequence.notes.add() note.start_time = step * seconds_per_step + sequence_start_time note.end_time = (step + 1) * seconds_per_step + sequence_start_time note.pitch = pitch note.velocity = velocity note.instrument = instrument note.program = program note.is_drum = True if sequence.notes: sequence.total_time = sequence.notes[-1].end_time return sequence def increase_resolution(self, k): """Increase the resolution of a DrumTrack. Increases the resolution of a DrumTrack object by a factor of `k`. This uses empty events to extend each event in the drum track to be `k` steps long. Args: k: An integer, the factor by which to increase the resolution of the drum track. """ super(DrumTrack, self).increase_resolution( k, fill_event=frozenset())Ancestors
Methods
def append(self, event)-
Appends the event to the end of the drums and increments the end step.
Args
event- The drum event to append to the end.
Raises
ValueError- If
eventis not a valid drum event.
Expand source code
def append(self, event): """Appends the event to the end of the drums and increments the end step. Args: event: The drum event to append to the end. Raises: ValueError: If `event` is not a valid drum event. """ if not isinstance(event, frozenset): raise ValueError('Invalid drum event: %s' % event) if not all(MIN_MIDI_PITCH <= drum <= MAX_MIDI_PITCH for drum in event): raise ValueError('Drum event contains invalid note: %s' % event) super(DrumTrack, self).append(event) def from_quantized_sequence(self, quantized_sequence, search_start_step=0, gap_bars=1, pad_end=False, ignore_is_drum=False)-
Populate self with drums from the given quantized NoteSequence object.
A drum track is extracted from the given quantized sequence starting at time step
start_step.start_stepcan be used to drive extraction of multiple drum tracks from the same quantized sequence. The end step of the extracted drum track will be stored inself._end_step.0 velocity notes are ignored. The drum extraction is ended when there are no drums for a time stretch of
gap_barsin bars (measures) of music. The number of time steps per bar is computed from the time signature inquantized_sequence.Each drum event is a Python frozenset of simultaneous (after quantization) drum "pitches", or an empty frozenset to indicate no drums are played.
Args
quantized_sequence- A quantized NoteSequence instance.
search_start_step- Start searching for drums at this time step. Assumed to be the beginning of a bar.
gap_bars- If this many bars or more follow a non-empty drum event, the drum track is ended.
pad_end- If True, the end of the drums will be padded with empty events so that it will end at a bar boundary.
ignore_is_drum- Whether accept notes where
is_drumis False.
Raises
NonIntegerStepsPerBarError- If
quantized_sequence's bar length (derived from its time signature) is not an integer number of time steps.
Expand source code
def from_quantized_sequence(self, quantized_sequence, search_start_step=0, gap_bars=1, pad_end=False, ignore_is_drum=False): """Populate self with drums from the given quantized NoteSequence object. A drum track is extracted from the given quantized sequence starting at time step `start_step`. `start_step` can be used to drive extraction of multiple drum tracks from the same quantized sequence. The end step of the extracted drum track will be stored in `self._end_step`. 0 velocity notes are ignored. The drum extraction is ended when there are no drums for a time stretch of `gap_bars` in bars (measures) of music. The number of time steps per bar is computed from the time signature in `quantized_sequence`. Each drum event is a Python frozenset of simultaneous (after quantization) drum "pitches", or an empty frozenset to indicate no drums are played. Args: quantized_sequence: A quantized NoteSequence instance. search_start_step: Start searching for drums at this time step. Assumed to be the beginning of a bar. gap_bars: If this many bars or more follow a non-empty drum event, the drum track is ended. pad_end: If True, the end of the drums will be padded with empty events so that it will end at a bar boundary. ignore_is_drum: Whether accept notes where `is_drum` is False. Raises: NonIntegerStepsPerBarError: If `quantized_sequence`'s bar length (derived from its time signature) is not an integer number of time steps. """ sequences_lib.assert_is_relative_quantized_sequence(quantized_sequence) self._reset() steps_per_bar_float = sequences_lib.steps_per_bar_in_quantized_sequence( quantized_sequence) if steps_per_bar_float % 1 != 0: raise events_lib.NonIntegerStepsPerBarError( 'There are %f timesteps per bar. Time signature: %d/%d' % (steps_per_bar_float, quantized_sequence.time_signatures[0].numerator, quantized_sequence.time_signatures[0].denominator)) self._steps_per_bar = steps_per_bar = int(steps_per_bar_float) self._steps_per_quarter = ( quantized_sequence.quantization_info.steps_per_quarter) # Group all drum notes that start at the same step. all_notes = [note for note in quantized_sequence.notes if ((note.is_drum or ignore_is_drum) # drums only and note.velocity # no zero-velocity notes # after start_step only and note.quantized_start_step >= search_start_step)] grouped_notes = collections.defaultdict(list) for note in all_notes: grouped_notes[note.quantized_start_step].append(note) # Sort by note start times. notes = sorted(grouped_notes.items(), key=operator.itemgetter(0)) if not notes: return gap_start_index = 0 track_start_step = ( notes[0][0] - (notes[0][0] - search_start_step) % steps_per_bar) for start, group in notes: start_index = start - track_start_step pitches = frozenset(note.pitch for note in group) # If a gap of `gap` or more steps is found, end the drum track. note_distance = start_index - gap_start_index if len(self) and note_distance >= gap_bars * steps_per_bar: # pylint:disable=len-as-condition break # Add a drum event, a set of drum "pitches". self.set_length(start_index + 1) self._events[start_index] = pitches gap_start_index = start_index + 1 if not self._events: # If no drum events were added, don't set `_start_step` and `_end_step`. return self._start_step = track_start_step length = len(self) # Optionally round up `_end_step` to a multiple of `steps_per_bar`. if pad_end: length += -len(self) % steps_per_bar self.set_length(length) def increase_resolution(self, k)-
Increase the resolution of a DrumTrack.
Increases the resolution of a DrumTrack object by a factor of
k. This uses empty events to extend each event in the drum track to beksteps long.Args
k- An integer, the factor by which to increase the resolution of the drum track.
Expand source code
def increase_resolution(self, k): """Increase the resolution of a DrumTrack. Increases the resolution of a DrumTrack object by a factor of `k`. This uses empty events to extend each event in the drum track to be `k` steps long. Args: k: An integer, the factor by which to increase the resolution of the drum track. """ super(DrumTrack, self).increase_resolution( k, fill_event=frozenset()) def to_sequence(self, velocity=100, instrument=9, program=0, sequence_start_time=0.0, qpm=120.0)-
Converts the DrumTrack to NoteSequence proto.
Args
velocity- Midi velocity to give each note. Between 1 and 127 (inclusive).
instrument- Midi instrument to give each note.
program- Midi program to give each note.
sequence_start_time- A time in seconds (float) that the first event in the sequence will land on.
qpm- Quarter notes per minute (float).
Returns
A NoteSequence proto encoding the given drum track.
Expand source code
def to_sequence(self, velocity=100, instrument=9, program=0, sequence_start_time=0.0, qpm=120.0): """Converts the DrumTrack to NoteSequence proto. Args: velocity: Midi velocity to give each note. Between 1 and 127 (inclusive). instrument: Midi instrument to give each note. program: Midi program to give each note. sequence_start_time: A time in seconds (float) that the first event in the sequence will land on. qpm: Quarter notes per minute (float). Returns: A NoteSequence proto encoding the given drum track. """ seconds_per_step = 60.0 / qpm / self.steps_per_quarter sequence = music_pb2.NoteSequence() sequence.tempos.add().qpm = qpm sequence.ticks_per_quarter = STANDARD_PPQ sequence_start_time += self.start_step * seconds_per_step for step, event in enumerate(self): for pitch in event: # Add a note. All drum notes last a single step. note = sequence.notes.add() note.start_time = step * seconds_per_step + sequence_start_time note.end_time = (step + 1) * seconds_per_step + sequence_start_time note.pitch = pitch note.velocity = velocity note.instrument = instrument note.program = program note.is_drum = True if sequence.notes: sequence.total_time = sequence.notes[-1].end_time return sequence
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