los_angeles_midi_dataset_maker.py

# -*- coding: utf-8 -*-
"""Los_Angeles_MIDI_Dataset_Maker.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Maker.ipynb

# Los Angeles MIDI Dataset Maker (ver. 3.0)

***

Powered by tegridy-tools: https://github.com/asigalov61/tegridy-tools

***

#### Project Los Angeles

#### Tegridy Code 2023

***

# (SETUP ENVIRONMENT)
"""

#@title Install all dependencies (run only once per session)

!git clone https://github.com/asigalov61/tegridy-tools
!pip install tqdm

#@title Import all needed modules

print('Loading core modules... Please wait...')
import os

import math
import statistics
import random
from collections import Counter
import shutil
import hashlib
from tqdm import tqdm

print('Creating IO dirs...')

if not os.path.exists('/content/Dataset'):
    os.makedirs('/content/Dataset')

if not os.path.exists('/content/Output'):
    os.makedirs('/content/Output')

output_dirs_list = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f']

for o in output_dirs_list:
  if not os.path.exists('/content/Output/'+str(o)+'/'):
    os.makedirs('/content/Output/'+str(o)+'/')

print('Loading TMIDIX module...')
os.chdir('/content/tegridy-tools/tegridy-tools')

import TMIDIX

print('Done!')

os.chdir('/content/')
print('Enjoy! :)')

"""# (DOWNLOAD SOURCE MIDI DATASET)"""

# Commented out IPython magic to ensure Python compatibility.
#@title Download original LAKH MIDI Dataset

# %cd /content/Dataset/

!wget 'http://hog.ee.columbia.edu/craffel/lmd/lmd_full.tar.gz'
!tar -xvf 'lmd_full.tar.gz'
!rm 'lmd_full.tar.gz'

# %cd /content/

"""# (FILE LIST)"""

#@title Save file list
###########

print('Loading MIDI files...')
print('This may take a while on a large dataset in particular.')

dataset_addr = "/content/Dataset"
# os.chdir(dataset_addr)
filez = list()
for (dirpath, dirnames, filenames) in os.walk(dataset_addr):
    filez += [os.path.join(dirpath, file) for file in filenames]
print('=' * 70)

if filez == []:
    print('Could not find any MIDI files. Please check Dataset dir...')
    print('=' * 70)

print('Randomizing file list...')
random.shuffle(filez)

TMIDIX.Tegridy_Any_Pickle_File_Writer(filez, '/content/filez')

#@title Load file list
filez = TMIDIX.Tegridy_Any_Pickle_File_Reader('/content/filez')
print('Done!')

"""# (PROCESS)"""

#@title Process MIDIs with TMIDIX MIDI processor

print('=' * 70)
print('TMIDIX MIDI Processor')
print('=' * 70)
print('Starting up...')
print('=' * 70)

###########

START_FILE_NUMBER = 0
LAST_SAVED_BATCH_COUNT = 0

input_files_count = START_FILE_NUMBER
files_count = LAST_SAVED_BATCH_COUNT

melody_chords_f = []

all_md5_names = []
all_pitches_sums = []
all_pitches_counts = []
all_pitches_and_counts = []

print('Processing MIDI files. Please wait...')
print('=' * 70)

for f in tqdm(filez[START_FILE_NUMBER:]):
    try:
        input_files_count += 1

        fn = os.path.basename(f)
        
        # Filtering out giant MIDIs
        file_size = os.path.getsize(f)

        if file_size <= 1000000:
        
            fdata = open(f, 'rb').read()

            md5sum = hashlib.md5(fdata).hexdigest()

            md5name = str(md5sum) + '.mid'

            #=======================================================
            # START PROCESSING

            # Convering MIDI to ms score with MIDI.py module
            score = TMIDIX.midi2score(fdata)

            events_matrix = []
            itrack = 1

            while itrack < len(score):
              for event in score[itrack]:                             
                events_matrix.append(event)
              itrack += 1

            events_matrix.sort(key=lambda x: x[1])

            notes = [y for y in events_matrix if y[0] == 'note']

            if len(notes) >= 256:

                times = [n[1] for n in notes]
                durs = [n[2] for n in notes]

                if min(times) >= 0 and min(durs) >= 0:
                    if len(times) > len(set(times)):

                        if str(md5sum) not in all_md5_names:

                            pitches = [n[4] for n in notes]
                            pitches_sum = sum(pitches)

                            if pitches_sum not in all_pitches_sums:
                                pitches_and_counts = sorted([[key, val] for key,val in Counter(pitches).most_common()], reverse=True, key = lambda x: x[1])
                                pitches_counts = [p[1] for p in pitches_and_counts]
                                
                                #=======================================================

                                if pitches_counts not in all_pitches_counts:

                                    # Saving data every 50000 processed files
                                    if files_count % 50000 == 0:
                                      print('SAVING !!!')
                                      print('=' * 70)
                                      print('Saving processed data...')
                                      print('=' * 70)
                                      TMIDIX.Tegridy_Any_Pickle_File_Writer([all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')
                                      print('=' * 70)
                                      print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
                                      print('=' * 70)
                                      

                                    shutil.copy2(f, '/content/Output/'+str(md5name[0])+'/'+md5name)

                                    all_md5_names.append(str(md5sum))
                                    all_pitches_sums.append(pitches_sum)
                                    all_pitches_counts.append(pitches_counts)
                                    all_pitches_and_counts.append(pitches_and_counts)
                                    
                                    if files_count % 1000 == 0:
                                      print('=' * 70)
                                      print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
                                      print('=' * 70)

                                    # Processed files counter
                                    files_count += 1

                                #=======================================================
    
    except KeyboardInterrupt:
        print('Saving current progress and quitting...')
        break  

    except Exception as ex:
        print('WARNING !!!')
        print('=' * 70)
        print('Bad MIDI:', f)
        print('Error detected:', ex)
        print('=' * 70)
        continue

# Saving last processed data...
print('=' * 70)
print('Saving processed data...')
print('=' * 70)
TMIDIX.Tegridy_Any_Pickle_File_Writer([all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')
print('=' * 70)
print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
print('=' * 70)
print('Done!')   
print('=' * 70)

print('Resulting Stats:')
print('=' * 70)
print('Total good processed MIDI files:', files_count)
print('=' * 70)

"""# Congrats! You did it! :)"""