else:
# edge case if ALL voices rest
satb[v].append(0)
# was ordered btas
satb = satb[::-1]
for i in range(len(satb)):
decoded_satb_midi_s = [
norm_to_midi_lu[j] if j in norm_to_midi_lu else 0
for j in satb[i]
]
decoded_satb_note_s = [
norm_to_note_lu[j] if j in norm_to_note_lu else 0
for j in satb[i]
]
decoded_satb_midi[i].extend(decoded_satb_midi_s)
decoded_satb_notes[i].extend(decoded_satb_note_s)
quantized_to_pretty_midi(
[decoded_satb_midi],
0.25,
save_dir="samples",
name_tag="multichannel_sample_{}_seed_{}_temp_{}".format(
offset, args.seed, args.temp) + "_{}.mid",
default_quarter_length=220,
voice_params="woodwinds")
print("saved sample {}".format(offset))
from IPython import embed
embed()
raise ValueError()
events[to[1]] = [0, 0, 0, 0]
events[to[1]][v] = to[0]
satb =[[], [], [], []]
for v in range(x_rec_i.shape[-1]):
for ts in range(measure_len):
if ts in events:
satb[v].append(events[ts][v])
else:
# edge case if ALL voices rest
satb[v].append(0)
# was ordered btas
satb = satb[::-1]
for i in range(len(satb)):
satb_midi[i].extend(satb[i])
satb_notes[i].extend(midi_to_notes([satb[i]])[0])
if args.chords == None:
name_tag="pianoroll_multichannel_sample_{}_seed_{}_temp_{}".format(offset, args.seed, args.temp) + "_{}.mid"
else:
name_tag="pianoroll_multichannel_sample_{}_seed_{}_temp_{}".format(args.chords, args.seed, args.temp) + "_{}.mid"
np.savez("samples/sample_{}_seed_{}.npz".format(offset, args.seed), pr=x_rec_i, midi=satb_midi, notes=satb_notes, labelnames=these_labelnames)
quantized_to_pretty_midi([satb_midi],
0.25,
save_dir="samples",
name_tag=name_tag,
default_quarter_length=220,
voice_params="woodwinds")
print("saved sample {}".format(offset))
from IPython import embed; embed(); raise ValueError()
prev = None
decoded_satb_midi = [[], [], [], []]
decoded_satb_notes = [[], [], [], []]
for n in range(len(x_rec_i)):
# 48 x 48 measure in
satb = decode_measure(x_rec_i[n][..., 0], prev)
prev = [satb[i][-1] for i in range(len(satb))]
for i in range(len(satb)):
decoded_satb_midi_s = [
norm_to_midi_lu[j] if j in norm_to_midi_lu else 0
for j in satb[i]
]
decoded_satb_note_s = [
norm_to_note_lu[j] if j in norm_to_note_lu else 0
for j in satb[i]
]
decoded_satb_midi[i].extend(decoded_satb_midi_s)
decoded_satb_notes[i].extend(decoded_satb_note_s)
quantized_to_pretty_midi([decoded_satb_midi],
0.25,
save_dir="samples",
name_tag="sample_{}".format(offset) + "_{}.mid",
default_quarter_length=220,
voice_params="piano")
print("saved sample {}".format(offset))
from IPython import embed
embed()
raise ValueError()
start_chunks = [
i for i in range(len(non_rest) - num_to_plot)
if np.max(np.diff(non_rest[i:i + num_to_plot])) == 1
]
random_state.shuffle(start_chunks)
random_state.shuffle(start_chunks)
ii = non_rest[start_chunks[0]]
skeleton = np.array([sk for sk in ce[ii:(ii + num_to_plot)]])
joined = np.zeros((len(x_rec), x_rec.shape[2], skeleton.shape[-1]))
joined += skeleton[:, None, :]
idxs = np.argmax(x_rec, axis=1)
lu = {k: v for k, v in enumerate(np.arange(-23, 24))}
res = np.zeros_like(idxs)
for kk in sorted(lu.keys()):
res[idxs == kk] = lu[kk]
# use only top
res[:, :, 1:] *= 0
joined[:, :, :res.shape[-1]] += res
joined = joined.reshape(-1, joined.shape[-1])
joined_voices = [joined[:, c] for c in range(joined.shape[-1])]
quantized_to_pretty_midi([joined_voices],
0.25,
default_quarter_length=440,
voice_params="piano")
from IPython import embed
embed()
raise ValueError()