def run(args, logger):
mg.log(
warning_handler=logger.warning,
info_handler=logger.info,
debug_handler=logger.debug,
)
bit_to_subtype = {16: "PCM_16", 24: "PCM_24", 32: "FLOAT"}
logger.debug(f"{mg.__title__} {mg.__version__}")
logger.debug(f"Maintained by {mg.__author__}: {mg.__email__}")
logger.debug(f'Contributors: {", ".join(mg.__credits__)}')
try:
mg.process(
target=args.target,
reference=args.reference,
results=[
mg.Result(
args.result,
bit_to_subtype.get(args.bit),
use_limiter=not args.no_limiter,
normalize=not args.dont_normalize,
)
],
)
except Exception as e:
logger.exception("Got the exception while executing mg.process()")
def show_index():
"""Display / route."""
final_dict = {}
if 'username' in flask.session:
# Get the username
user = flask.session['username']
final_dict['login'] = True
final_dict['username'] = user
final_dict['submitted'] = False
# Database portion
if flask.request.method == 'POST':
print(flask.request.form["guitar_select"])
src_file, ref_file, input_src, input_ref = tonefinder.views.util.save_file(
)
print(src_file)
if src_file != "" and ref_file != "":
target_file = input_src
target_dir = os.path.join(
tonefinder.app.config['TRANSFORMED_FOLDER'], user)
if not os.path.isdir(target_dir):
os.mkdir(target_dir)
target_path = os.path.join(target_dir, target_file)
ir = input_src[:-4] + "_" + input_ref[:-4] + "_ir.wav"
ir_dir = os.path.join(tonefinder.app.config['IR_FOLDER'], user)
if not os.path.isdir(ir_dir):
os.mkdir(ir_dir)
ir_path = os.path.join(ir_dir, ir)
mg.process(
target=src_file,
reference=ref_file,
# pcm16 and pcm24 are just basic shortcuts
# You can also use the Result class to make some advanced results
results=[
mg.Result(target_path,
subtype="PCM_24",
use_limiter=False)
],
ir_file=ir_path)
final_dict['submitted'] = True
final_dict['transformed'] = target_file
final_dict['irfile'] = ir
return flask.render_template("index.html", **final_dict)
else:
return flask.redirect(flask.url_for('login'))
def process(session: MGSession):
if session.code != 2002:
return
paths = Paths(session.target.file.name, session.target.title)
updater = SessionUpdater(session, paths)
mg.log(info_handler=updater.info,
warning_handler=updater.warning,
show_codes=True)
try:
mg.process(
target=media(session.target.file.name),
reference=media(session.reference.file.name),
results=[
mg.pcm16(media(paths.result16)),
mg.pcm24(media(paths.result24)),
],
preview_target=mg.pcm16(media(paths.preview_target)),
preview_result=mg.pcm16(media(paths.preview_result)),
)
except Exception as e:
updater.info(str(e))
import matchering as mg
# Sending all log messages to the default print function
# Just delete the following line to work silently
mg.log(print)
mg.process(
# The track you want to master
target='my_song.wav',
# Some "wet" reference track
reference='some_popular_song.wav',
# Where and how to save your results
results=[
mg.pcm16('my_song_master_16bit.wav'),
mg.pcm24('my_song_master_24bit.wav'),
])
import matchering as mg
# Let's keep only warning outputs here, muting everything else
mg.log(warning_handler=print)
mg.process(
target="my_song.wav",
reference="some_popular_song.wav",
results=[
mg.pcm16("my_song_master_16bit.wav"),
mg.pcm24("my_song_master_24bit.wav"),
],
# These two lines will allow you to create two 30-second FLAC files with the loudest parts of:
# 'my_song.wav' and 'my_song_master_16bit.wav'
# Use them to quickly compare the target audio with the resulting audio
preview_target=mg.pcm16("preview_my_song.flac"),
preview_result=mg.pcm16("preview_my_song_master.flac"),
)
import matchering as mg
# Let's keep info and warning outputs here, muting out the debug ones
mg.log(info_handler=print, warning_handler=print)
mg.process(
target="audio_files/251.wav",
reference="audio_files/fender_251.wav",
# pcm16 and pcm24 are just basic shortcuts
# You can also use the Result class to make some advanced results
results=[
# Basic WAV 16-bit, match + master
mg.pcm16("my_song_master_16bit.wav"),
# FLAC 24-bit, match only (no limiter), normalized to -0.01 dB
# Recommendations for adjusting the amplitude will be displayed in the debug print if it is enabled
mg.Result("custom_result_24bit_no_limiter.wav",
subtype="PCM_24",
use_limiter=False),
# AIFF 32-bit float, match only (no limiter), non-normalized
# Can exceed 0 dB without clipping
# So you can directly feed it to some VST limiter in your DAW
# More available formats and subtypes:
# https://pysoundfile.readthedocs.io/en/latest/#soundfile.available_formats
# https://pysoundfile.readthedocs.io/en/latest/#soundfile.available_subtypes
],
ir_file="mid_ir.wav")
# The warning output will be highlighted with exclamation marks on both sides
def warning(text):
my_print("!" * 20)
my_print(f"! WARNING: {text}")
my_print("!" * 20)
# Set new handlers
mg.log(warning_handler=warning, info_handler=info, debug_handler=my_print)
mg.process(
target="my_song.wav",
reference="some_popular_song.wav",
results=[
mg.pcm16("my_song_master_16bit.wav"),
mg.pcm24("my_song_master_24bit.wav"),
],
)
# These settings will result in the following text output:
# ...
# 2020-01-11 11:03:29.225821: INFO: Loading and analysis
# 2020-01-11 11:03:29.225821: Loading the TARGET file: 'my_song.wav'...
# 2020-01-11 11:03:29.396622: The TARGET file is loaded
# 2020-01-11 11:03:29.396622: TARGET audio length: 22932000 samples (0:08:40)
# 2020-01-11 11:03:30.528787: !!!!!!!!!!!!!!!!!!!!
# 2020-01-11 11:03:30.528787: ! WARNING: The applied limiter is detected in the TARGET file...
# 2020-01-11 11:03:30.528787: !!!!!!!!!!!!!!!!!!!!
# 2020-01-11 11:03:30.528787: Loading the REFERENCE file: 'some_popular_song.wav'...
# ...
mg.process(
target='my_song.wav',
reference='some_popular_song.wav',
# pcm16 and pcm24 are just basic shortcuts
# You can also use the Result class to make some advanced results
results=[
# Basic WAV 16-bit, match + master
mg.pcm16('my_song_master_16bit.wav'),
# FLAC 24-bit, match only (no limiter), normalized to -0.01 dB
# Recommendations for adjusting the amplitude will be displayed in the debug print if it is enabled
mg.Result(
'custom_result_24bit_no_limiter.flac',
subtype='PCM_24',
use_limiter=False
),
# AIFF 32-bit float, match only (no limiter), non-normalized
# Can exceed 0 dB without clipping
# So you can directly feed it to some VST limiter in your DAW
mg.Result(
'custom_result_32bit_no_limiter_non-normalized.aiff',
subtype='FLOAT',
use_limiter=False,
normalize=False
)
# More available formats and subtypes:
# https://pysoundfile.readthedocs.io/en/latest/#soundfile.available_formats
# https://pysoundfile.readthedocs.io/en/latest/#soundfile.available_subtypes
]
)
def main_automaster(args, **kwargs):
# convert from auto args template
# TODO: if len(targets) == len(references) then match up, otherwise random choice, otherwise single
# print(f"main_automaster args {args}")
# if type(args.references) in [list]:
# args.references = args.references[0]
if len(args.references) == 1:
references = [args.references[0] for _ in range(len(args.filenames))]
elif len(args.references) == len(args.filenames):
references = args.references
else:
references = [random.choice(args.references) for _ in range(len(args.filenames))]
if args.verbose:
print(f"main_automaster references {references}")
automaster_results = {
'targets': [],
'references': [],
'results': [],
}
# print(f"main_automaster filenames {args.filenames}")
# print(f"main_automaster references {references}")
for target_i, target in enumerate(args.filenames):
reference = references[target_i]
# filename_export = f"{target[:-4]}_master{args.bitdepth}.wav"
filename_export = os.path.join(
args.rootdir,
os.path.basename(args.filename_export) + ".wav")
if args.verbose:
print(f"main_automaster target {target}, reference {reference}, bitdepth {args.bitdepth}")
print(f"main_automaster outputs {filename_export}")
if not os.path.exists(target) or not os.path.exists(reference):
print(f"main_automaster target {target} or reference {reference} doesnt exist")
continue
if args.bitdepth == 16:
result = mg.pcm16(filename_export)
else:
result = mg.pcm24(filename_export)
mg.process(
# The track you want to master
target=target,
# Some "wet" reference track
reference=reference,
# Where and how to save your results
results=[result],
)
# print(f"automaster result = {result}")
automaster_results['targets'].append(target)
automaster_results['references'].append(reference)
automaster_results['results'].append(filename_export)
results = {
'data': {
'output_files': [
{'format': args.outputs[0],
'filename': os.path.basename(automaster_results['results'][0])}
],
}
}
filename_result = os.path.join(
args.rootdir,
os.path.basename(args.filename_export) + ".json")
# this saves the array in .json format
json.dump(
results,
codecs.open(filename_result, 'w', encoding='utf-8'),
# separators=(',', ':'),
# sort_keys=True,
# indent=4,
# cls=NumpyEncoder,
)
if 'task' in kwargs:
kwargs['task'].set_done(result_location=os.path.basename(args.filename_export) + ".json")
return results
# Let's completely disable any text output here
# mg.log(print)
mg.process(
target='my_song.wav',
reference='some_popular_song.wav',
results=[
mg.pcm16('my_song_master_16bit.wav'),
mg.pcm24('my_song_master_24bit.wav'),
],
# Create a custom Config instance to edit matchering configuration
# Think twice before you change something here
config=mg.Config(
# Increase the maximum length to 30 minutes from the default value of 15
max_length=30 * 60,
# Increase the internal and resulting sample rate to 96 kHz from the default value of 44.1 kHz
internal_sample_rate=96000,
# Change the threshold value (float, not dB) from the default value of 0.9981 (-0.01 dB)
threshold=0.7079, # -3 dB
# Change the temp folder to work with ffmpeg
temp_folder='/tmp',
# Lower the preview length to 15 seconds from the default value of 30
preview_size=15,
# Allow matchering to accept the same files (useless in fact)
allow_equality=True
# Etc...
# The remaining parameters will be filled with default values
# Examine defaults.py to find other parameters
))
my_print(f'INFO: {text}')
# The warning output will be highlighted with exclamation marks on both sides
def warning(text):
my_print('!' * 20)
my_print(f'! WARNING: {text}')
my_print('!' * 20)
# Set new handlers
mg.log(warning_handler=warning, info_handler=info, debug_handler=my_print)
mg.process(target='my_song.wav',
reference='some_popular_song.wav',
results=[
mg.pcm16('my_song_master_16bit.wav'),
mg.pcm24('my_song_master_24bit.wav'),
])
# These settings will result in the following text output:
# ...
# 2020-01-11 11:03:29.225821: INFO: Loading and analysis
# 2020-01-11 11:03:29.225821: Loading the TARGET file: 'my_song.wav'...
# 2020-01-11 11:03:29.396622: The TARGET file is loaded
# 2020-01-11 11:03:29.396622: TARGET audio length: 22932000 samples (0:08:40)
# 2020-01-11 11:03:30.528787: !!!!!!!!!!!!!!!!!!!!
# 2020-01-11 11:03:30.528787: ! WARNING: The applied limiter is detected in the TARGET file...
# 2020-01-11 11:03:30.528787: !!!!!!!!!!!!!!!!!!!!
# 2020-01-11 11:03:30.528787: Loading the REFERENCE file: 'some_popular_song.wav'...
# ...
ref_k_default = '11.84.0.-1.0-1.1-1'
args.reference = references[ref_k_default]['filename']
target_k = args.target[:-4]
ref_k = args.reference[:-4]
print(f'processing')
print(f' target {args.target}')
print(f' ref {args.reference}')
# reference = references['sampa_daratofly']['filename']
# reference = references['dj-stingray-cryptic']['filename']
results = []
if args.bitdepth == 24:
results.append(mg.pcm24('{0}_master_24bit.wav'.format(target_k)))
else:
results.append(mg.pcm16('{0}_master_16bit.wav'.format(target_k)))
mg.process(
# The track you want to master
target=args.target,
# Some "wet" reference track
# reference=,
reference=args.reference,
# Where and how to save your results
results=results,
)