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"""Los_Angeles_MIDI_Dataset_Maker.ipynb |
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Automatically generated by Colaboratory. |
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Original file is located at |
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https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Maker.ipynb |
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# Los Angeles MIDI Dataset Maker (ver. 3.1) |
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*** |
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Powered by tegridy-tools: https://github.com/asigalov61/tegridy-tools |
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*** |
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#### Project Los Angeles |
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#### Tegridy Code 2023 |
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*** |
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# (SETUP ENVIRONMENT) |
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""" |
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!git clone https://github.com/asigalov61/tegridy-tools |
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!pip install tqdm |
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print('Loading core modules... Please wait...') |
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import os |
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import math |
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import statistics |
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import random |
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from collections import Counter |
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import shutil |
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import hashlib |
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from tqdm import tqdm |
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print('Creating IO dirs...') |
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if not os.path.exists('/content/Dataset'): |
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os.makedirs('/content/Dataset') |
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if not os.path.exists('/content/Output'): |
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os.makedirs('/content/Output') |
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output_dirs_list = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f'] |
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for o in output_dirs_list: |
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if not os.path.exists('/content/Output/'+str(o)+'/'): |
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os.makedirs('/content/Output/'+str(o)+'/') |
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print('Loading TMIDIX module...') |
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os.chdir('/content/tegridy-tools/tegridy-tools') |
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import TMIDIX |
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print('Done!') |
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os.chdir('/content/') |
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print('Enjoy! :)') |
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"""# (DOWNLOAD SOURCE MIDI DATASET)""" |
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!wget 'http://hog.ee.columbia.edu/craffel/lmd/lmd_full.tar.gz' |
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!tar -xvf 'lmd_full.tar.gz' |
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!rm 'lmd_full.tar.gz' |
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"""# (FILE LIST)""" |
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print('Loading MIDI files...') |
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print('This may take a while on a large dataset in particular.') |
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dataset_addr = "/content/Dataset" |
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filez = list() |
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for (dirpath, dirnames, filenames) in os.walk(dataset_addr): |
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filez += [os.path.join(dirpath, file) for file in filenames] |
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print('=' * 70) |
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if filez == []: |
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print('Could not find any MIDI files. Please check Dataset dir...') |
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print('=' * 70) |
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print('Randomizing file list...') |
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random.shuffle(filez) |
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TMIDIX.Tegridy_Any_Pickle_File_Writer(filez, '/content/filez') |
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filez = TMIDIX.Tegridy_Any_Pickle_File_Reader('/content/filez') |
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print('Done!') |
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"""# (PROCESS)""" |
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print('=' * 70) |
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print('TMIDIX MIDI Processor') |
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print('=' * 70) |
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print('Starting up...') |
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print('=' * 70) |
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START_FILE_NUMBER = 0 |
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LAST_SAVED_BATCH_COUNT = 0 |
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input_files_count = START_FILE_NUMBER |
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files_count = LAST_SAVED_BATCH_COUNT |
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melody_chords_f = [] |
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all_md5_names = [] |
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all_pitches_sums = [] |
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all_pitches_counts = [] |
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all_pitches_and_counts = [] |
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print('Processing MIDI files. Please wait...') |
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print('=' * 70) |
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for f in tqdm(filez[START_FILE_NUMBER:]): |
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try: |
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input_files_count += 1 |
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fn = os.path.basename(f) |
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file_size = os.path.getsize(f) |
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if file_size <= 1000000: |
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fdata = open(f, 'rb').read() |
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md5sum = hashlib.md5(fdata).hexdigest() |
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md5name = str(md5sum) + '.mid' |
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score = TMIDIX.midi2score(fdata) |
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events_matrix = [] |
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itrack = 1 |
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while itrack < len(score): |
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for event in score[itrack]: |
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events_matrix.append(event) |
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itrack += 1 |
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events_matrix.sort(key=lambda x: x[1]) |
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notes = [y for y in events_matrix if y[0] == 'note'] |
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if len(notes) >= 256: |
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times = [n[1] for n in notes] |
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durs = [n[2] for n in notes] |
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if min(times) >= 0 and min(durs) >= 0: |
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if len(times) > len(set(times)): |
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if str(md5sum) not in all_md5_names: |
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all_md5_names.append(str(md5sum)) |
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pitches = [n[4] for n in notes] |
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pitches_sum = sum(pitches) |
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if pitches_sum not in all_pitches_sums: |
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all_pitches_sums.append(pitches_sum) |
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pitches_and_counts = sorted([[key, val] for key,val in Counter(pitches).most_common()], reverse=True, key = lambda x: x[1]) |
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pitches_counts = [p[1] for p in pitches_and_counts] |
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if pitches_counts not in all_pitches_counts: |
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if files_count % 50000 == 0: |
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print('SAVING !!!') |
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print('=' * 70) |
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print('Saving processed data...') |
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print('=' * 70) |
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TMIDIX.Tegridy_Any_Pickle_File_Writer([filez, all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data') |
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print('=' * 70) |
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print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio') |
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print('=' * 70) |
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shutil.copy2(f, '/content/Output/'+str(md5name[0])+'/'+md5name) |
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all_pitches_counts.append(pitches_counts) |
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all_pitches_and_counts.append(pitches_and_counts) |
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if files_count % 1000 == 0: |
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print('=' * 70) |
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print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio') |
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print('=' * 70) |
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files_count += 1 |
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except KeyboardInterrupt: |
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print('Saving current progress and quitting...') |
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break |
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except Exception as ex: |
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print('WARNING !!!') |
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print('=' * 70) |
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print('Bad MIDI:', f) |
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print('Error detected:', ex) |
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print('=' * 70) |
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continue |
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print('=' * 70) |
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print('Saving processed data...') |
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print('=' * 70) |
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TMIDIX.Tegridy_Any_Pickle_File_Writer([filez, all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data') |
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print('=' * 70) |
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print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio') |
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print('=' * 70) |
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print('Done!') |
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print('=' * 70) |
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print('Resulting Stats:') |
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print('=' * 70) |
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print('Total good processed MIDI files:', files_count) |
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print('=' * 70) |
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"""# Congrats! You did it! :)""" |
