MemoryError: Unable to allocate array with shape (13755436,) and data type float64

[JiaxiangBU]

Here is the error information.

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='../music_file/torch.wav',

    # Some "wet" reference track
    reference='../music_file/juanzhulian.wav',

    # Where and how to save your results
    results=[
        mg.pcm16('my_song_master_16bit.wav'),
        mg.pcm24('my_song_master_24bit.wav'),
    ]
)

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----------------------------------------
Loading and analysis
Loading the TARGET file: '../music_file/torch.wav'...
The TARGET file is loaded
TARGET audio length: 12900720 samples (0:04:52)
Audio clipping is detected in the TARGET file. It is highly recommended to use the non-clipping version
Loading the REFERENCE file: '../music_file/juanzhulian.wav'...
The REFERENCE file is loaded
REFERENCE audio length: 14971904 samples (0:05:11)
Resampling REFERENCE audio from 48000 Hz to 44100 Hz...
The REFERENCE audio was resampled
----------------------------------------
Matching levels
The maximum size of the analyzed piece: 661500 samples or 15.00 seconds
Normalizing the REFERENCE...
The REFERENCE was normalized. Final amplitude coefficient for the TARGET audio is: -0.0495 dB
Calculating mid and side channels of the TARGET...
The TARGET will be didived into 20 pieces
One piece of the TARGET has a length of 645036 samples or 14.63 seconds
Calculating RMSes of the TARGET pieces...
Extracting the loudest pieces of the TARGET audio with the RMS value more than average -11.3945 dB...
The current average RMS value in the loudest pieces is -9.3542 dB
Calculating mid and side channels of the REFERENCE...



---------------------------------------------------------------------------

MemoryError                               Traceback (most recent call last)

<ipython-input-8-b42637885823> in <module>
      9     results=[
     10         mg.pcm16('my_song_master_16bit.wav'),
---> 11         mg.pcm24('my_song_master_24bit.wav'),
     12     ]
     13 )


~/miniconda3/lib/python3.7/site-packages/matchering/core.py in process(target, reference, results, config, preview_target, preview_result)
     75         need_default=any(rr.use_limiter for rr in results),
     76         need_no_limiter=any(not rr.use_limiter and not rr.normalize for rr in results),
---> 77         need_no_limiter_normalized=any(not rr.use_limiter and rr.normalize for rr in results),
     78     )
     79 


~/miniconda3/lib/python3.7/site-packages/matchering/stages.py in main(target, reference, config, need_default, need_no_limiter, need_no_limiter_normalized)
    177         reference_mid_loudest_pieces, reference_side_loudest_pieces,\
    178         target_divisions, target_piece_size, reference_match_rms\
--> 179         = __match_levels(target, reference, config)
    180 
    181     del target, reference


~/miniconda3/lib/python3.7/site-packages/matchering/stages.py in __match_levels(target, reference, config)
     50         reference_mid_loudest_pieces, reference_side_loudest_pieces,\
     51         reference_match_rms, *_\
---> 52         = analyze_levels(reference, 'reference', config)
     53 
     54     rms_coefficient, target_mid, target_side = get_rms_c_and_amplify_pair(


~/miniconda3/lib/python3.7/site-packages/matchering/stage_helpers/match_levels.py in analyze_levels(array, name, config)
    146     name = name.upper()
    147     debug(f'Calculating mid and side channels of the {name}...')
--> 148     mid, side = lr_to_ms(array)
    149     del array
    150 


~/miniconda3/lib/python3.7/site-packages/matchering/dsp.py in lr_to_ms(array)
     64     mid = np.copy(array[:, 0])
     65     array[:, 0] -= array[:, 1]
---> 66     side = np.copy(array[:, 0])
     67     return mid, side
     68 


<__array_function__ internals> in copy(*args, **kwargs)


~/miniconda3/lib/python3.7/site-packages/numpy/lib/function_base.py in copy(a, order)
    788 
    789     """
--> 790     return array(a, order=order, copy=True)
    791 
    792 # Basic operations


MemoryError: Unable to allocate array with shape (13755436,) and data type float64

Is my wav file is too long? I am new for this package.

du -sh torch.wav
50M     torch.wav
du -sh juanzhulian.wav
58M     juanzhulian.wav

I run it on an Ubuntu system.

[sergree]

Hello, @JiaxiangBU!

I think it is OOM (Out of memory).
How much RAM does your machine have?
4 GB recommended.

[JiaxiangBU]

It is 2G. I will change another machine to try.

[sergree]

I added information about this requirement in the readme. thanks for this