def ns_performance(temperature, output_path): # Constants. t1 = time.time() BUNDLE_DIR = './bundles' MODEL_NAME = 'performance_with_dynamics' BUNDLE_NAME = MODEL_NAME + '.mag' BUNDLE_ABS_PATH = '/Users/bregy/PycharmProjects/neurospace/bundles/performance_with_dynamics.mag' #mm.notebook_utils.download_bundle(BUNDLE_NAME, BUNDLE_DIR) bundle = mm.sequence_generator_bundle.read_bundle_file(BUNDLE_ABS_PATH) #bundle = mm.sequence_generator_bundle.read_bundle_file(os.path.join(BUNDLE_DIR, BUNDLE_NAME)) generator_map = performance_sequence_generator.get_generator_map() generator = generator_map[MODEL_NAME](checkpoint=None, bundle=bundle) generator.initialize() generator_options = generator_pb2.GeneratorOptions() generator_options.args['temperature'].float_value = temperature generate_section = generator_options.generate_sections.add(start_time=0, end_time=120) sequence = generator.generate(music_pb2.NoteSequence(), generator_options) # Play this masterpiece. t2 = time.time() midi = mm.sequence_proto_to_pretty_midi(sequence) a = midi.fluidsynth() write(output_path, 44100, a)
def performance_rnn(record_file):
start_time = 0.0
timestep = 0.5
end_time = 0.5
melody_sequence = music_pb2.NoteSequence()
with open(record_file, 'r') as record:
for line in record:
melody_sequence.notes.add(pitch=pitch_dict[line.strip()], \
start_time=start_time, end_time=end_time, velocity=80)
start_time += timestep
end_time += timestep
melody_sequence.total_time = end_time
melody_sequence.tempos.add(qpm=60)
input_sequence = melody_sequence
num_steps = 8192 # change this for shorter or longer sequences
temperature = 1.0 # the higher the temperature the more random the sequence.
bundle = mm.sequence_generator_bundle.read_bundle_file(
'/home/ubuntu/team15/bundle/performance_with_dynamics.mag')
generator_map = performance_sequence_generator.get_generator_map()
generator = generator_map['performance_with_dynamics'](checkpoint=None,
bundle=bundle)
generator.initialize()
# Derive the total number of seconds to generate.
seconds_per_step = 1.0 / generator.steps_per_second
generate_end_time = num_steps * seconds_per_step
# Specify start/stop time for generation based on starting generation at the
# end of the priming sequence and continuing until the sequence is num_steps
# long.
generator_options = generator_pb2.GeneratorOptions()
# Set the start time to begin when the last note ends.
generate_section = generator_options.generate_sections.add(
start_time=input_sequence.total_time, end_time=generate_end_time)
generator_options.args[
'temperature'].float_value = 1.0 # Higher is more random; 1.0 is default.
sequence = generator.generate(input_sequence, generator_options)
new_file_name = record_file.split('/')[-1].split(
'.')[0] + '_performance_rnn.mid'
mm.sequence_proto_to_midi_file(
sequence, '/home/ubuntu/team15/midi/performance_rnn/' + new_file_name)
return new_file_name
def generate_music():
global PLAYING_MUSIC1
global PLAYING_MUSIC2
mm.musicxml_parser.DEFAULT_MIDI_PROGRAM = 3
mm.notebook_utils.download_bundle(BUNDLE_NAME, BUNDLE_DIR)
bundle = mm.sequence_generator_bundle.read_bundle_file(
os.path.join(BUNDLE_DIR, BUNDLE_NAME))
generator_map = performance_sequence_generator.get_generator_map()
generator = generator_map[MODEL_NAME](checkpoint=None, bundle=bundle)
generator.initialize()
generator_options = generator_pb2.GeneratorOptions()
generator_options.args[
'temperature'].float_value = settings.TEMP # Higher is more random; 1.0 is default.
generate_section = generator_options.generate_sections.add(
start_time=0, end_time=DURATION)
sequence = generator.generate(music_pb2.NoteSequence(), generator_options)
# Play and view this masterpiece.
# mm.plot_sequence(sequence)
# audio_object = modified_play_sequence(sequence, mm.midi_synth.fluidsynth, sample_rate=DEFAULT_SAMPLE_RATE * SAMPLE_MULT)
# mm.play_sequence(sequence, mm.midi_synth.fluidsynth, sample_rate=DEFAULT_SAMPLE_RATE * SAMPLE_MULT)
sample_rate = DEFAULT_SAMPLE_RATE * SAMPLE_MULT
array_of_floats = mm.midi_synth.fluidsynth(sequence,
sample_rate=sample_rate,
sf2_path=SF2_PATH)
write('/Users/wangan/Documents/calhacks2017/temp_wav/tempBass1.wav', 44100,
array_of_floats)
# audio_killed = int(sample_rate * 1)
# array_of_floats = array_of_floats[audio_killed:]
# IPython.display.Audio(array_of_floats, rate=sample_rate, autoplay=True)
i = 1
while (True):
print("Size of NoteSequence: ", sys.getsizeof(sequence))
performance_sequence_generator.DEFAULT_NOTE_DENSITY = settings.NOTE_DENSITY / REDUCTION
performance_sequence_generator.DEFAULT_PITCH_HISTOGRAM = settings.PITCH
while PLAYING_MUSIC1:
time.sleep(0.00001)
array_of_floats = []
generator_map2 = performance_sequence_generator.get_generator_map()
generator2 = generator_map2[MODEL_NAME](checkpoint=None, bundle=bundle)
generator2.initialize()
generator_options2 = generator_pb2.GeneratorOptions()
generator_options2.args[
'temperature'].float_value = settings.TEMP # Higher is more random; 1.0 is default.
generate_section = generator_options2.generate_sections.add(
start_time=(i * DURATION), end_time=(i + 1) * DURATION)
sequenceNew = generator2.generate(sequence, generator_options2)
# Play and view this masterpiece.
mm.plot_sequence(sequenceNew)
# audio_object = modified_play_sequence(sequence, mm.midi_synth.fluidsynth, sample_rate=DEFAULT_SAMPLE_RATE * SAMPLE_MULT)
# mm.play_sequence(sequence, mm.midi_synth.fluidsynth, sample_rate=DEFAULT_SAMPLE_RATE * SAMPLE_MULT)
sample_rate = DEFAULT_SAMPLE_RATE * SAMPLE_MULT
array_of_floats = mm.midi_synth.fluidsynth(sequenceNew,
sample_rate=sample_rate,
sf2_path=SF2_PATH)
sequence = sequenceNew
sequence.notes._values = sequence.notes._values[
int(FRACTION * len(sequence.notes)):len(sequence.notes)]
# audio_killed = int(sample_rate * 1.5)
old_array_size = int(sample_rate * DURATION * i)
array_of_floats = array_of_floats[old_array_size:]
# array_of_floats = array_of_floats[:-audio_killed]
write('/Users/wangan/Documents/calhacks2017/temp_wav/tempBass1.wav',
44100, array_of_floats)
del generator_map2
del generator2
del generator_options2
del generate_section
del sequenceNew
i += 1
performance_sequence_generator.DEFAULT_NOTE_DENSITY = settings.NOTE_DENSITY / REDUCTION
performance_sequence_generator.DEFAULT_PITCH_HISTOGRAM = settings.PITCH
while PLAYING_MUSIC2:
time.sleep(0.00001)
array_of_floats2 = []
generator_map2 = performance_sequence_generator.get_generator_map()
generator2 = generator_map2[MODEL_NAME](checkpoint=None, bundle=bundle)
generator2.initialize()
generator_options2 = generator_pb2.GeneratorOptions()
generator_options2.args[
'temperature'].float_value = settings.TEMP # Higher is more random; 1.0 is default.
generate_section = generator_options2.generate_sections.add(
start_time=(i * DURATION), end_time=(i + 1) * DURATION)
sequenceNew = generator2.generate(sequence, generator_options2)
sample_rate = DEFAULT_SAMPLE_RATE * SAMPLE_MULT
array_of_floats2 = mm.midi_synth.fluidsynth(sequenceNew,
sample_rate=sample_rate,
sf2_path=SF2_PATH)
sequence = sequenceNew
sequence.notes._values = sequence.notes._values[
int(FRACTION * len(sequence.notes)):len(sequence.notes)]
# audio_killed = int(sample_rate * 1.5)
old_array_size = int(sample_rate * DURATION * i)
array_of_floats2 = array_of_floats2[old_array_size:]
# array_of_floats = array_of_floats[:-audio_killed]
write('/Users/wangan/Documents/calhacks2017/temp_wav/tempBass2.wav',
44100, array_of_floats2)
del generator_map2
del generator2
del generator_options2
del generate_section
del sequenceNew
i += 1
'end_call_control_number',
'panic_control_number',
'mutate_control_number',
'min_listen_ticks_control_number',
'max_listen_ticks_control_number',
'response_ticks_control_number',
'temperature_control_number',
'tempo_control_number',
'loop_control_number',
'generator_select_control_number',
'state_control_number']
# A map from a string generator name to its class.
_GENERATOR_MAP = melody_rnn_sequence_generator.get_generator_map()
_GENERATOR_MAP.update(drums_rnn_sequence_generator.get_generator_map())
_GENERATOR_MAP.update(performance_sequence_generator.get_generator_map())
_GENERATOR_MAP.update(pianoroll_rnn_nade_sequence_generator.get_generator_map())
_GENERATOR_MAP.update(polyphony_sequence_generator.get_generator_map())
class CCMapper(object):
"""A class for mapping control change numbers to specific controls.
Args:
cc_map: A dictionary containing mappings from signal names to control
change numbers (or None). This dictionary will be updated by the class.
midi_hub_: An initialized MidiHub to receive inputs from.
"""
def __init__(self, cc_map, midi_hub_):
self._cc_map = cc_map
'end_call_control_number',
'panic_control_number',
'mutate_control_number',
'min_listen_ticks_control_number',
'max_listen_ticks_control_number',
'response_ticks_control_number',
'temperature_control_number',
'tempo_control_number',
'loop_control_number',
'generator_select_control_number',
'state_control_number']
# A map from a string generator name to its class.
_GENERATOR_MAP = melody_rnn_sequence_generator.get_generator_map()
_GENERATOR_MAP.update(drums_rnn_sequence_generator.get_generator_map())
_GENERATOR_MAP.update(performance_sequence_generator.get_generator_map())
_GENERATOR_MAP.update(pianoroll_rnn_nade_sequence_generator.get_generator_map())
_GENERATOR_MAP.update(polyphony_sequence_generator.get_generator_map())
class CCMapper(object):
"""A class for mapping control change numbers to specific controls.
Args:
cc_map: A dictionary containing mappings from signal names to control
change numbers (or None). This dictionary will be updated by the class.
midi_hub_: An initialized MidiHub to receive inputs from.
"""
def __init__(self, cc_map, midi_hub_):
self._cc_map = cc_map
import magenta.music as mm
# Necessary until pyfluidsynth is updated (>1.2.5).
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
# Constants.
BUNDLE_DIR = '/tmp/'
MODEL_NAME = 'performance_with_dynamics'
BUNDLE_NAME = MODEL_NAME + '.mag'
mm.notebook_utils.download_bundle(BUNDLE_NAME, BUNDLE_DIR)
"""# Generate a sequence"""
bundle = mm.sequence_generator_bundle.read_bundle_file(os.path.join(BUNDLE_DIR, BUNDLE_NAME))
generator_map = performance_sequence_generator.get_generator_map()
generator = generator_map[MODEL_NAME](checkpoint=None, bundle=bundle)
generator.initialize()
generator_options = generator_pb2.GeneratorOptions()
generator_options.args['temperature'].float_value = 1.6
generate_section = generator_options.generate_sections.add(start_time=0, end_time=60)
sequence = generator.generate(music_pb2.NoteSequence(), generator_options)
# Play and view this masterpiece.
mm.plot_sequence(sequence)
mm.play_sequence(sequence, mm.midi_synth.fluidsynth,
sf2_path='/tmp/Yamaha-C5-Salamander-JNv5.1.sf2')
