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):
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):
(
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'])
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):
(
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'])