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  1. 29-04-2020  #21

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    Quote Originally Posted by rkeane View Post
    PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --absolute.mp3 --gpu 0
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    usage: inference.py [-h] [--gpu GPU] [--model MODEL] --input INPUT [--sr SR]
    [--hop_length HOP_LENGTH] [--window_size WINDOW_SIZE]
    [--out_mask] [--postprocess]
    inference.py: error: the following arguments are required: --input/-i
    PS C:\Users\Robert\Documents\vocal-remover-2.1.0

    tried it just thru cpu every way
    tried every cmd every way as gpu
    unless im missing something lol

    tried installing numba
    PS C:\> pip install numba Requirement already satisfied: numba in c:\users\robert\appdata\local\programs\python\pyth on37\lib\site-packages (0.49.0)
    Requirement already satisfied: numpy>=1.15 in c:\users\robert\appdata\local\programs\python\pyth on37\lib\site-packages (from numba) (1.18.3)
    Requirement already satisfied: llvmlite<=0.33.0.dev0,>=0.31.0.dev0 in c:\users\robert\appdata\local\programs\python\pyth on37\lib\site-packages (from numba) (0.32.0)
    Requirement already satisfied: setuptools in c:\users\robert\appdata\local\programs\python\pyth on37\lib\site-packages (from numba) (41.2.0)
    You're so close! Looks like you actually got it all working, I just see one problem with your command

    You're using this -

    python inference.py --absolute.mp3 --gpu 0

    When it should be this -

    python inference.py --input absolute.mp3 --gpu 0

  2. 30-04-2020  #22

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    still the same my friend hopefully it can get figured out.....i am very interested in the results


    PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    loading model... Traceback (most recent call last):
    File "inference.py", line 92, in
    main()
    File "inference.py", line 31, in main
    model.load_state_dict(torch.load(args.model, map_location=device))
    File "C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\torch\serialization.py", line 419, in load
    f = open(f, 'rb')
    FileNotFoundError: [Errno 2] No such file or directory: 'models/baseline.pth'

  3. 01-05-2020  #23

    Superstar DJ

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    Quote Originally Posted by rkeane View Post
    still the same my friend hopefully it can get figured out.....i am very interested in the results


    PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    loading model... Traceback (most recent call last):
    File "inference.py", line 92, in
    main()
    File "inference.py", line 31, in main
    model.load_state_dict(torch.load(args.model, map_location=device))
    File "C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\torch\serialization.py", line 419, in load
    f = open(f, 'rb')
    FileNotFoundError: [Errno 2] No such file or directory: 'models/baseline.pth'
    Seems the model is missing from the "models" folder? There should be a file in the "models" directory called "baseline.pth", that's the model.

    Download this folder and do your conversions using the AI I tailored here, if it's missing - https://www.mediafire.com/file/3slcb...mover.rar/file

  4. 01-05-2020  #24

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    Quote Originally Posted by algernonblack View Post
    Will do - excited to try this out!
    How has your experience been with this?

  5. 01-05-2020  #25

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    Anjok: Wouldn't it feasibly be possible to create training models using something like a studio acapella layered over an official instrumental to a completely different song, or a vinyl rip of acapella/inst combined, even though those wouldn't sound good to be heard? The AI would still "learn" from those, wouldn't they?

  6. 01-05-2020  #26

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    well got it going once i installed baseline.pth
    the link for mediafire didn't work
    taking about 15-30 mins depending on song length
    still get an error but dunno what difference it would make

    PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit

    but as i said it works

  7. 02-05-2020  #27

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    Quote Originally Posted by rkeane View Post
    well got it going once i installed baseline.pth
    the link for mediafire didn't work
    taking about 15-30 mins depending on song length
    still get an error but dunno what difference it would make

    PS C:\Users\Robert\Documents\vocal-remover-2.1.0> python inference.py --input absolute.mp3 --gpu 0
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit
    C:\Users\Robert\AppData\Local\Programs\Python\Pyth on37\lib\site-packages\librosa\util\decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
    Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
    from numba.decorators import jit as optional_jit

    but as i said it works
    Sorry about the link! That's because I updated the main thread and package. Here's the new link - https://www.mediafire.com/file/97r5s...mover.rar/file

    If you have a Nvidia GPU and install the compatible Cuda drivers, the conversions will be 100x faster.

  8. 02-05-2020  #28

    Superstar DJ

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    To give everyone an update - I'm training a few new models for this AI and will be sharing them as they complete (I'm training using my GPU). According to the GitHub page, the baseline model was trained on 150 pairs of anime songs. The model I'm currently training is on 305 pairs consisting of multiple genres for generalization, so it should be better than the baseline model already provided and it should also be fine-tunable.
    Last edited by Anjok; 02-05-2020 at 09:26.

  9. 02-05-2020  #29

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    Quote Originally Posted by Anjok View Post
    How has your experience been with this?
    Couldn't even figure out how to get the code to run, unfortunately. I think for most people looking to try this out, some sort of standard executable with a simple GUI is going to be needed, because for the layperson running code is going to be far too difficult.

  10. 02-05-2020  #30

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    pretty much just a copy and paste scenario........no need to type all that code


    Open Python ----- check Add Python to path and install
    Unzip Vocal Remover to Documents


    Note: By this point, Python should be installed, the vocal-remover folder should be extracted to your documents.
    Go to Document folder and open vocal-remover-2.1.0 folder. Press Shift and Right Click > Open PowerShell window here


    Copy the following command hit return and wait for the installations to complete - pip install torch==1.3.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
    Copy the following command hit return and wait for the installations to complete - pip install -r requirements.txt
    Copy the following command hit return and wait for the installations to complete - pip install soundstretch
    Copy the following command hit return and wait for the installations to complete - pip install numba==0.48.0


    Running Conversions

    This AI comes with a pretty good pre-trained baseline model that you can do test conversions on. I want to make this as easy as possible to use.

    1. Drop the file you want to convert into the main "vocal-remover" folder. Rename songs to a shorter text ( Somewhere Over The Rainbow ) to rainbow etc
    2. Run one of the following commands:

    -To perform the conversions on your CPU, copy and paste the following -
    python inference.py --input YOURSONG.mp3 (or flac on cmd line below also remember to change song title)
    -To perform the conversions on your GPU (faster), copy and paste the following -
    python inference.py --input YOURSONG.mp3 --gpu 0
    If you have a Nvidia GPU and install the compatible Cuda drivers, the conversions will be 100x faster.
    Last edited by rkeane; 02-05-2020 at 13:55.

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