def main(args):
name_part = args.name_part.replace("\"", '')
importer = io_importer.Importer(utils.get_file_json_comm())
importer.load([name_part])
notes_live = postp_live.filter_empty(importer.get_part(name_part))
mode = 'polyphonic' if name_part == 'chord' else 'monophonic'
(s_beat_start, s_beat_end, tempo, beat_start, beat_end, length_beats,
beatmap) = utils.get_tuple_beats()
stream = conv_mxl.live_to_stream(notes_live,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo,
mode=mode)
utils.create_dir_score()
utils.create_dir_part(name_part)
filename_pickle = os.path.join(
utils.get_dirname_score(), name_part,
''.join([utils._get_name_project_most_recent(), '.pkl']))
utils_mxl.freeze_stream(stream, filename_pickle)
messenger = mes.Messenger()
messenger.message(['done', 'bang'])
def main(args):
tempo_estimate = ir.extract_tempo()
messenger = mes.Messenger()
messenger.message([str(tempo_estimate)])
messenger.message(['done', 'bang'])
def main(args):
messenger = mes.Messenger()
(s_beat_start, s_beat_end, tempo, beat_start, beat_end, length_beats,
beatmap) = utils.get_tuple_beats()
messenger.message(['length_beats', str(length_beats)])
messenger.message(['done', 'bang'])
def main(args):
name_part = 'homophony'
importer = io_importer.Importer(
utils.get_file_json_comm()
)
importer.load([name_part])
notes_live = importer.get_part(name_part)
(
s_beat_start,
s_beat_end,
tempo,
beat_start,
beat_end,
length_beats,
beatmap
) = utils.get_tuple_beats()
messenger = mes.Messenger()
messenger.message(['length_beats', str(length_beats)])
stream = convert_mxl.live_to_stream(
notes_live,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo,
mode='polyphonic'
)
part_textured = postp_mxl.force_texture(stream, int(args.desired_texture.replace('"', '')))
part_voice_extracted = postp_mxl.extract_voice(part_textured, 1)
notes_live = convert_mxl.to_notes_live(
part_voice_extracted,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo,
bypass_seconds=True
)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, name_part)
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
messenger = mes.Messenger()
(s_beat_start, s_beat_end, tempo, beat_start, beat_end, length_beats,
beatmap) = utils.get_tuple_beats()
messenger.message(['length_beats', str(length_beats)])
filename_pickle = os.path.join(
utils.get_dirname_score(), 'chord',
''.join([utils._get_name_project_most_recent(), '.pkl']))
part_chord_thawed = utils_mxl.thaw_stream(filename_pickle)
part_key_centers = analysis_mxl.get_key_center_estimates(part_chord_thawed)
utils.create_dir_score()
utils.create_dir_key_center()
filename_pickle = os.path.join(
utils.get_dirname_score(), 'key_center',
''.join([utils._get_name_project_most_recent(), '.pkl']))
################ TODO: remove
# filename_part = os.path.join(
# utils.get_dirname_score(),
# 'key_center',
# utils._get_name_project_most_recent() + '.pkl'
# )
#
# part_key_centers = utils_mxl.thaw_stream(
# filename_part
# )
###############
utils_mxl.freeze_stream(part_key_centers, filename_pickle)
notes_live = convert_mxl.to_notes_live(part_key_centers,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, 'key_center')
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
utils.write_name_project(args.name_project)
utils.create_dir_project()
utils.create_dir_audio()
utils.create_dir_audio_warped()
utils.create_dir_vocals()
utils.create_dir_session()
audio_only = args.x
include_video = not audio_only
if include_video:
utils.create_dir_video()
utils.create_dir_video_warped()
dir_video = utils.get_path_dir_video()
command_to_video = [
args.path_executable, '--o',
dir_video + '/' + args.name_project + '.%(ext)s', '-f', 'mp4',
'--ffmpeg-location', args.ffmpeg_location, args.url[0]
]
subprocess.run(command_to_video,
stdout=subprocess.PIPE).stdout.rstrip().decode("utf-8")
dir_audio = utils.get_path_dir_audio()
command_to_audio = [
args.path_executable, '-x', '--o',
dir_audio + '/' + args.name_project + '.%(ext)s', '--audio-format',
args.audio_format, '--ffmpeg-location', args.ffmpeg_location,
args.url[0]
]
subprocess.run(command_to_audio,
stdout=subprocess.PIPE).stdout.rstrip().decode("utf-8")
messenger = mes.Messenger()
messenger.message(['done', 'bang'])
def main(args):
messenger = mes.Messenger()
(
s_beat_start,
s_beat_end,
tempo,
beat_start,
beat_end,
length_beats,
beatmap
) = utils.get_tuple_beats()
messenger.message(['length_beats', str(length_beats)])
stream_chord = utils_mxl.thaw_stream(
os.path.join(
utils.get_dirname_score(),
'chord',
utils._get_name_project_most_recent() + '.pkl'
)
)
stream_root = postp_mxl.extract_root(
stream_chord
)
notes_live = convert_mxl.to_notes_live(
stream_root,
beatmap,
s_beat_start,
s_beat_end,
tempo
)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, 'root')
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
use_warped = utils.b_use_warped()
data_melody = ir.extract_melody(
os.path.join(
utils.get_dirname_audio_warped()
if use_warped else utils.get_dirname_audio(),
utils._get_name_project_most_recent() + '.wav'))
df_melody = prep_vamp.melody_to_df(
(data_melody['vector'][0], data_melody['vector'][1]), index_type='s')
df_melody[df_melody['melody'] < 0] = 0
conv_max.to_coll(df_melody.rename(columns={'melody': 'signal'}),
conv_max.file_ts_coll)
messenger = mes.Messenger()
messenger.message(['done', 'bang'])
def main(args):
name_part = utils.parse_arg(args.name_part)
importer = io_importer.Importer(utils.get_file_json_comm())
importer.load([name_part])
notes_live = importer.get_part(name_part)
mode = 'polyphonic' if name_part == 'chord' else 'monophonic'
(s_beat_start, s_beat_end, tempo, beat_start, beat_end, length_beats,
beatmap) = utils.get_tuple_beats()
messenger = mes.Messenger()
messenger.message(['length_beats', str(length_beats)])
stream = convert_mxl.live_to_stream(notes_live,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo,
mode=mode)
notes_live = convert_mxl.to_notes_live(stream, beatmap, s_beat_start,
s_beat_end, tempo)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, name_part)
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
# filter_map: Dict[int, Dict[str, float]] = args.filter_map
filter = 'medfilt'
filter_map: Dict[int, Dict[str, float]] = {
'kernel_size': [
111,
311,
511
]
}
df_to_filter = conv_max.from_coll(
filename=conv_max.file_ts_coll
)
params = filter_map
for name_argument, values in params.items():
for i_value, value in enumerate(values):
df_to_filter['signal_filtered'] = \
pd.Series(
getattr(signal, filter)(df_to_filter['signal'].as_matrix().reshape(-1, ), **{name_argument: value}),
dtype=np.float
)
conv_max.to_coll(
df_to_filter[['pos', 'signal_filtered']].rename(columns={'signal_filtered': 'signal'}),
filename=conv_max.file_ts_coll
)
messenger = mes.Messenger()
messenger.message(['done', 'bang'])
def main(args):
note_midi_lower = int(utils.parse_arg(args.note_midi_lower))
note_midi_upper = int(utils.parse_arg(args.note_midi_upper))
chromatic_scale = music21.scale.ChromaticScale(
music21.pitch.Pitch(midi=note_midi_lower))
# pitches = [
# str(p)
# for p
# in chromatic_scale.getPitches(
# music21.pitch.Pitch(midi=note_midi_lower),
# music21.pitch.Pitch(midi=note_midi_upper)
# )
# ]
#
# pitches.insert(0, 0)
#
# alphabet_map = dict()
#
# for tuple in list(set(zip(list(string.ascii_lowercase), pitches))):
# alphabet_map[tuple[0]] = tuple[1]
# this will put the letter 'l' at the front
# alphabet_map_sorted = utils.rotate_items(OrderedDict(sorted(alphabet_map.items())), 11)
#
# n_bins = note_midi_upper - note_midi_lower + 2
df = conv_max.from_coll(filename=conv_max.file_ts_coll)
frequencies_hz = [
p.frequency for p in chromatic_scale.getPitches(
music21.pitch.Pitch(
midi=note_midi_lower -
1), music21.pitch.Pitch(midi=note_midi_upper + 1))
]
pitches = chromatic_scale.getPitches(
music21.pitch.Pitch(midi=note_midi_lower),
music21.pitch.Pitch(midi=note_midi_upper))
df['signal_discretized'] = df['signal'] * 0
for pitch in pitches:
range_hz = ((music21.pitch.Pitch(midi=pitch.midi - 1).frequency +
pitch.frequency) / 2,
(music21.pitch.Pitch(midi=pitch.midi + 1).frequency +
pitch.frequency) / 2)
df['signal_discretized'][(range_hz[0] <= df['signal']) & (
range_hz[1] >= df['signal'])] = pitch.frequency
threshold_lower = (frequencies_hz[0] + frequencies_hz[1]) / 2
threshold_upper = (frequencies_hz[-2] + frequencies_hz[-1]) / 2
df['signal_discretized'][df['signal'] < threshold_lower] = 0
df['signal_discretized'][df['signal'] > threshold_upper] = 0
# sax = SAX(
# n_bins=n_bins,
# quantiles='empirical'
# )
# sfa = SFA(
# n_bins=n_bins,
# quantiles='empirical'
# )
# mcb = MCB(
# n_bins=n_bins,
# quantiles='gaussian'
# )
# def lookup_frequency(letter: str) -> int:
# return music21.pitch.Pitch(alphabet_map_sorted[letter]).frequency
# df['signal_discretized'] = sax.fit_transform(df['signal'].values.reshape((1, len(df.index))))[0]
# df['signal_discretized'] = sfa.fit_transform(df['signal'].values.reshape((1, len(df.index))))
# df['signal_discretized'] = df['signal_discretized'].apply(lookup_frequency)
conv_max.to_coll(df[['pos', 'signal_discretized'
]].rename(columns={'signal_discretized': 'signal'}),
filename=conv_max.file_ts_coll_discrete)
messenger = mes.Messenger()
messenger.message(['done', 'bang'])
def main(args):
messenger = mes.Messenger()
use_warped = utils.b_use_warped()
(s_beat_start, s_beat_end, tempo, beat_start, beat_end, length_beats,
beatmap) = utils.get_tuple_beats()
messenger.message(['length_beats', str(length_beats)])
representation = utils.parse_arg(args.representation)
if representation == 'symbolic':
filename_pickle = os.path.join(
utils.get_dirname_score(), 'melody',
''.join([utils._get_name_project_most_recent(), '.pkl']))
part_melody = utils_mxl.thaw_stream(filename_pickle)
stream_segment = analysis_mxl.get_segments(part_melody)
elif representation == 'numeric':
data_segments = ir.extract_segments(
os.path.join(
utils.get_dirname_audio_warped()
if use_warped else utils.get_dirname_audio(),
utils._get_name_project_most_recent() + '.wav'))
df_segments = prep_vamp.segments_to_df(data_segments)
segment_tree = quantize.get_interval_tree(df_segments, diff=False)
data_quantized = quantize.quantize(beatmap,
s_beat_start,
s_beat_end,
trees={'segment': segment_tree})
data_quantized_segments = data_quantized['segment']
score = postp_mxl.df_grans_to_score(data_quantized_segments,
parts=['segment'])
stream_segment = postp_mxl.extract_part(score, 'segment')
else:
raise ' '.join(['representation', representation, 'does not exist'])
utils.create_dir_score()
utils.create_dir_segment()
filename_pickle = os.path.join(
utils.get_dirname_score(), 'segment',
''.join([utils._get_name_project_most_recent(), '.pkl']))
utils_mxl.freeze_stream(stream_segment, filename_pickle)
notes_live = convert_mxl.to_notes_live(stream_segment, beatmap,
s_beat_start, s_beat_end, tempo)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, 'segment')
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
use_warped = utils.b_use_warped()
name_part = utils.parse_arg(args.name_part)
beat_multiple_quantization = utils.parse_arg(args.beat_multiple)
quarter_length_divisor = 1/float(beat_multiple_quantization)
importer = io_importer.Importer(
utils.get_file_json_comm()
)
importer.load([name_part])
notes_live = importer.get_part(name_part)
mode = 'polyphonic' if name_part == 'chord' else 'monophonic'
(
s_beat_start,
s_beat_end,
tempo,
beat_start,
beat_end,
length_beats,
beatmap
) = utils.get_tuple_beats()
messenger = mes.Messenger()
messenger.message(['length_beats', str(length_beats)])
stream = convert_mxl.live_to_stream(
notes_live,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo,
mode=mode
)
# TODO: replace with logic in "granularize.py"
if name_part == 'melody':
data_melody = conv_vamp.to_data_melody(
notes_live,
offset_s_audio=0,
duration_s_audio=utils.get_duration_s_audio(
filename=os.path.join(
utils.get_dirname_audio_warped() if use_warped else utils.get_dirname_audio(),
utils._get_name_project_most_recent() + '.wav'
)
)
)
df_melody = prep_vamp.melody_to_df(
(data_melody['vector'][0], data_melody['vector'][1]),
index_type='s'
)
df_melody[df_melody['melody'] < 0] = 0
melody_tree = quantize.get_interval_tree(
df_melody
)
data_quantized = quantize.quantize(
beatmap,
s_beat_start,
s_beat_end,
trees={
'melody': melody_tree
}
)
data_quantized_melody = data_quantized['melody']
score = postp_mxl.df_grans_to_score(
data_quantized_melody,
parts=['melody']
)
stream = postp_mxl.extract_part(
score,
'melody'
)
else:
stream.quantize(
(quarter_length_divisor, ),
inPlace=True
)
notes_live = convert_mxl.to_notes_live(
stream,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo,
bypass_seconds=True
)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, name_part)
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
use_warped = args.m
messenger = mes.Messenger()
s_beat_start = float(utils.parse_arg(args.s_beat_start)) if utils.parse_arg(args.s_beat_start) else None
s_beat_end = float(utils.parse_arg(args.s_beat_end)) if utils.parse_arg(args.s_beat_end) else None
tempo = float(utils.parse_arg(args.tempo)) if utils.parse_arg(args.tempo) else None
beat_start = float(utils.parse_arg(args.beat_start)) if utils.parse_arg(args.beat_start) else None
beat_end = float(utils.parse_arg(args.beat_end)) if utils.parse_arg(args.beat_end) else None
length_beats = float(utils.parse_arg(args.length_beats)) if utils.parse_arg(args.length_beats) else None
filename_wav = os.path.join(
utils.get_dirname_audio_warped() if use_warped else utils.get_dirname_audio(),
utils._get_name_project_most_recent() + '.wav'
)
if args.a:
s_beat_start = 0
s_beat_end = utils.get_duration_s_audio(filename=filename_wav)
# NB: to look up beat in beatmap, given a beat in Live
# subtract one from measure, multply by 4, then subtract one beat
# e.g., 74.1.1 => beatmap_manual[73*4 + 0]
if use_warped:
s_beat_start = 0
s_beat_end = utils.get_duration_s_audio(
filename=filename_wav
)
beatmap = np.linspace(
0,
s_beat_end,
int(beat_end) - int(beat_start) + 1
)
else:
beatmap = [val.to_float() for val in ir.extract_beats(filename_wav)]
length_beats = utils.get_num_beats(beatmap, s_beat_start, s_beat_end)
if args.double:
beatmap = utils.double_beatmap(beatmap)
length_beats = length_beats*2
elif args.halve:
beatmap = utils.halve_beatmap(beatmap)
length_beats = length_beats/2
# TODO: does this mean that all unwarped audio is assumed to be cropped?
beat_start = 0
beat_end = beat_start + length_beats - 1
utils.create_dir_beat(
)
filepath_beatmap = os.path.join(
utils.get_dirname_beat(),
utils._get_name_project_most_recent() + '.pkl'
)
data_beats = {
's_beat_start': s_beat_start,
's_beat_end': s_beat_end,
'tempo': tempo,
'beat_start': float(beat_start),
'beat_end': float(beat_end),
'length_beats': float(length_beats),
'beatmap': beatmap
}
if args.dump_estimates:
for beat in beatmap:
messenger.message(['beat_relative', str(beat/s_beat_end)])
utils.to_pickle(
data_beats,
filepath_beatmap
)
messenger.message(['done', 'bang'])
def main(args):
(
s_beat_start,
s_beat_end,
tempo,
beat_start,
beat_end,
length_beats,
beatmap
) = utils.get_tuple_beats()
messenger = mes.Messenger()
messenger.message(['length_beats', str(length_beats)])
df = conv_max.from_coll(
conv_max.file_ts_coll
)
df = conv_mid.hz_to_mid(
df.rename(
columns={'signal': 'melody'}
)
)
df_melody_diff = filt_midi.to_diff(
df,
'melody'
)
sample_rate = .0029
df_melody_diff.index = df_melody_diff.index * sample_rate
# TODO: add index s before quantizing
tree_melody = quantize.get_interval_tree(
df_melody_diff
)
data_quantized = quantize.quantize(
beatmap,
s_beat_start,
s_beat_end,
trees={
'melody': tree_melody
}
)
score = postp_mxl.df_grans_to_score(
data_quantized['melody'],
parts=['melody']
)
exporter = io_exporter.Exporter()
part_melody = postp_mxl.extract_part(
score,
'melody'
)
exporter.set_part(
notes=conv_mxl.to_notes_live(
part_melody,
beatmap,
s_beat_start,
s_beat_end,
tempo
),
name_part='melody'
)
exporter.export(
utils.get_file_json_comm()
)
messenger.message(['done', 'bang'])
def main(args):
messenger = mes.Messenger()
file_input = utils.parse_arg(args.file_input)
file_output = utils.parse_arg(args.file_output)
name_part = utils.parse_arg(args.name_part)
score = converter.parse(file_input)
part_new = stream.Part()
for p in score:
if isinstance(p, stream.Part):
for i in range(num_measures_lead_in + 1,
p.measure(-1).measureNumber + 1):
m = p.measure(i)
chord_symbols = [
c for c in m if isinstance(c, harmony.ChordSymbol)
]
if len(chord_symbols) == 0:
if name_part == 'chord':
chord_new = chord.Chord(
[p.midi for p in chord_sym_last.pitches
], # NB: we want to fail in this case
duration=duration.Duration(4))
part_new.append(chord_new)
chord_sym_last = chord_new
elif name_part == 'root':
note_new = chord.Chord(
[[p.midi for p in chord_sym_last.pitches][0]
], # NB: we want to fail in this case
duration=duration.Duration(4))
part_new.append(note_new)
chord_sym_last = chord.Chord(
[p.midi for p in chord_sym_last.pitches],
duration=duration.Duration(4))
else:
raise Exception(
'cannot parse name_part from BIAB musicxml')
else:
for sym in chord_symbols:
if name_part == 'chord':
chord_new = chord.Chord(
[p.midi for p in sym.pitches],
duration=duration.Duration(4 /
len(chord_symbols)))
part_new.append(chord_new)
chord_sym_last = chord_new
elif name_part == 'root':
note_new = note.Note([p.midi
for p in sym.pitches][0],
duration=duration.Duration(
4 / len(chord_symbols)))
part_new.append(note_new)
chord_sym_last = chord.Chord(
[p.midi for p in sym.pitches],
duration=duration.Duration(4 /
len(chord_symbols)))
else:
raise Exception(
'cannot parse name_part from BIAB musicxml')
if name_part == 'chord':
part_new = postp_mxl.force_texture(part_new, num_voices=4)
part_new.write('midi', fp=file_output)
messenger.message(['done', 'bang'])
def main(args):
messenger = mes.Messenger()
(s_beat_start, s_beat_end, tempo, beat_start, beat_end, length_beats,
beatmap) = utils.get_tuple_beats()
messenger.message(['length_beats', str(length_beats)])
data_chords = ir.extract_chords(
os.path.join(
utils.get_dirname_audio_warped()
if utils.b_use_warped() else utils.get_dirname_audio(),
utils._get_name_project_most_recent() + '.wav'))
non_empty_chords = vamp_filter.filter_non_chords(data_chords)
# TODO: refactor, this is slow
events_chords: Dict[float,
music21.chord.Chord] = vamp_convert.vamp_chord_to_dict(
non_empty_chords)
df_chords = prep_vamp.chords_to_df(events_chords)
chord_tree = quantize.get_interval_tree(df_chords, diff=False)
data_quantized = quantize.quantize(beatmap,
s_beat_start,
s_beat_end,
trees={'chord': chord_tree})
data_quantized_chords = data_quantized['chord']
score = postp_mxl.df_grans_to_score(data_quantized_chords, parts=['chord'])
part_chord = postp_mxl.extract_part(score, 'chord')
part_chord = postp_mxl.force_texture(part_chord, num_voices=4)
utils.create_dir_score()
utils.create_dir_chord()
filename_pickle = os.path.join(
utils.get_dirname_score(), 'chord',
''.join([utils._get_name_project_most_recent(), '.pkl']))
utils_mxl.freeze_stream(part_chord, filename_pickle)
notes_live = convert_mxl.to_notes_live(part_chord,
beatmap=beatmap,
s_beat_start=s_beat_start,
s_beat_end=s_beat_end,
tempo=tempo)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, 'chord')
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])
def main(args):
(
s_beat_start,
s_beat_end,
tempo,
beat_start,
beat_end,
length_beats,
beatmap
) = utils.get_tuple_beats()
messenger = mes.Messenger()
messenger.message(['length_beats', str(length_beats)])
ts_beatmap = prep_vamp.beatmap_to_ts(
beatmap
)
df_beatmap = prep_vamp.ts_beatmap_to_df(
ts_beatmap
)
beatmap_tree = quantize.get_interval_tree(
df_beatmap,
diff=False,
preserve_struct=True
)
data_quantized = quantize.quantize(
beatmap,
s_beat_start,
s_beat_end,
trees={
'beatmap': beatmap_tree
}
)
data_quantized_beats = data_quantized['beatmap']
score = postp_mxl.df_grans_to_score(
data_quantized_beats,
parts=['beatmap'],
type_equality='absolute'
)
stream_beatmap = postp_mxl.extract_part(
score,
'beatmap'
)
notes_live = convert_mxl.to_notes_live(
stream_beatmap,
beatmap,
s_beat_start,
s_beat_end,
tempo
)
exporter = io_exporter.Exporter()
exporter.set_part(notes_live, 'beatmap')
exporter.export(utils.get_file_json_comm())
messenger.message(['done', 'bang'])