def get_songs(path):
files = glob.glob('{}/*.mid*'.format(path))
songs = []
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 50:
songs.append(song)
except Exception as e:
raise e
return songs
def get_songs(path):
files = glob.glob('{}/*.mid*'.format(path))
songs = []
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 50:
songs.append(song)
except Exception as e:
raise e
return songs
def getStateMatrices():
files = list_midis()
stateMatrices = []
i = 1
for f in files:
matrix = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if matrix.shape[0]>75:
stateMatrices.append(matrix)
os.system('clear')
print "Loaded %d/%d files..."%(i, len(files))
i = i+1
return stateMatrices
def get_files(path):
songs = []
for a, b, c in os.walk(path):
for f in c:
song = os.path.join(a, f)
try:
n = np.array(midi_manipulation.midiToNoteStateMatrix(song))
songs.append(n)
except Exception as e:
print("error: {} on file: {}".format(e, f))
return songs
def get_songs(path):
# search inside the path folder and read all files with .mid extension
files = glob.glob(f'{ path }/*.mid*')
songs = []
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 50:
songs.append(song)
except Exception as e:
raise e
return songs
def get_songs(path):
# TODO: refine file choices
# TODO: replace Pop_Music_Midi with out pop music repo
files = glob.glob('{}/*.mid*'.format(path))
songs = []
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 50:
songs.append(song)
except Exception as e:
raise e
return songs
def menu(output="output"):
files = get_files()
songs = np.zeros((0, 156))
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
songs = np.concatenate((songs, song))
except Exception as e:
raise e
print("samples merging ...")
print(np.shape(songs))
if (not ".mid" in output):
output += ".mid"
midi_manipulation.noteStateMatrixToMidi(songs, output)
def create_dataset(min_length):
songs = glob.glob('/home/elias/Documents/MuseScore2/Scores/mid/*.mid*')
encoded_songs = []
discarded = 0
for song in songs:
encoded_song = midi_manipulation.midiToNoteStateMatrix(song)
encoded_song = make_one_hot_notes(encoded_song)
if len(encoded_song) >= min_length:
encoded_songs.append(encoded_song)
else:
discarded += 1
print("{} songs processed".format(len(songs)))
print("{} songs discarded".format(discarded))
return encoded_songs
def get_histogram(midi_file):
"""
Given a midi file, convert the midi file into state matrix and add all matrices to get the frequency
of each note in the song
"""
song = midi_manipulation.midiToNoteStateMatrix(midi_file)
song = np.array(song)
x, y = song.shape
total = np.zeros(y, )
for i in range(x):
total += song[i]
return total
def menu(output="output"):
files = get_files()
songs = np.zeros((0,156))
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 10:
#songs.append(song)
songs = np.concatenate((songs,song))
except Exception as e:
raise e
print "samples merging ..."
print np.shape(songs)
if(not ".mid" in output):
output+=".mid"
midi_manipulation.noteStateMatrixToMidi(songs, output)
miditomp3.midi_to_mp3(output)
os.remove(output)
import numpy as np
from tqdm import tqdm
import glob
#sudo pip install msgpack-python
import msgpack
import midi_manipulation
#files = glob.glob('{}/*.mid*'.format(path))
try:
files = glob.glob('generated*.mid*')
except Exception as e:
raise e
songs = np.zeros((0, 156))
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 10:
#songs.append(song)
songs = np.concatenate((songs, song))
except Exception as e:
raise e
print "samlpes merging ..."
print np.shape(songs)
midi_manipulation.noteStateMatrixToMidi(songs, "final")
highest_note = 102 # the index of the highest note on the piano roll
note_range = highest_note - lowest_note # the note range
# files = glob.glob('{}/*.mid*'.format('midis'))
files = glob.glob('{}/*.mid*'.format('midis'))
songs = []
pos = 0
neg = 0
print(len(files))
counter = 0
for i, file in enumerate(files):
try:
if i % 10 == 0:
print(i)
song = np.asarray(midiToNoteStateMatrix(file))
if len(song) < 2:
pos += 1
print(pos)
os.remove(file)
else:
neg += 1
end = (np.floor(song.shape[0] / num_timesteps) *
num_timesteps).astype(np.int16)
song = song[:end]
song2 = np.hstack([song[:, 1:], np.zeros([song.shape[0], 1])])
song3 = np.hstack([song2[:, 1:], np.zeros([song.shape[0], 1])])
noteStateMatrixToMidi(song, name=("mynewdata/sample_" + str(i)))
def generate_feedable_song_from_file(midi_file):
with open(midi_file, "r") as f:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if not np.array(song).shape[0] > SONG_SLICE_START + SONG_SLICE_COUNT:
raise Exception("MIDI File too short.")
return slice_song(song)
# author chinabluewu@github
import numpy as np
from tqdm import tqdm
import glob
#sudo pip install msgpack-python
import msgpack
import midi_manipulation
#files = glob.glob('{}/*.mid*'.format(path))
try:
files = glob.glob('generated*.mid*')
except Exception as e:
raise e
songs = np.zeros((0,156))
for f in tqdm(files):
try:
song = np.array(midi_manipulation.midiToNoteStateMatrix(f))
if np.array(song).shape[0] > 10:
#songs.append(song)
songs = np.concatenate((songs,song))
except Exception as e:
raise e
print "samlpes merging ..."
print np.shape(songs)
midi_manipulation.noteStateMatrixToMidi(songs, "final")
import midi
import midi_manipulation as mm
import numpy as np
#pattern = midi.read_midifile("try.mid")
notestatematrix = mm.midiToNoteStateMatrix(
"Pop_Music_Midi/Around The World - Chorus.midi")
count = 0
for track in notestatematrix:
count += 1
print(len(track))
print(count)
"""
statematrix = mm.midiToNoteStateMatrix("Pop_Music_Midi/All The Small Things - Chorus.midi")
span = 78
statematrix = np.array(statematrix)
if not len(statematrix.shape) == 3:
statematrix = np.dstack((statematrix[:, :span], statematrix[:, span:]))
statematrix = np.asarray(statematrix)
pattern = midi.Pattern()
track = midi.Track()
pattern.append(track)
