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%[text] # demucs with uv onlinedemucs
%[text:tableOfContents]{"heading":"**Table of Contents**"}
%[text]
%%
%[text] ### Install uv
!curl -LsSf https://astral.sh/uv/install.sh | sh %[output:09e95903]
%%
%[text] ### Set up uv
% 1) Point PATH to where uv was installed
setenv('PATH', [getenv('HOME') '/.local/bin:' getenv('PATH')]);
% Sanity checks
system('which uv'); % should print ~/.local/bin/uv %[output:25ac6de9]
system('uv --version'); %[output:3e187644]
system('uvx --version'); %[output:252e3d46]
system('python --version'); %[output:0fce7f6c]
%%
%[text] ### Create and activate a virtual environment
%[text] Setting the `--clear` flag to reset already existing environment called `env` that might exist in the same location
% 2) Create a venv OUTSIDE MATLAB Drive (symlinks are fine here)
system('~/.local/bin/uv venv --clear /home/matlab/venvs/env'); %[output:17c364f3]
% 3) "Activate" it for this MATLAB session
setenv('VIRTUAL_ENV','/home/matlab/venvs/env');
setenv('PATH', ['/home/matlab/venvs/env/bin:' getenv('PATH')]);
%%
%[text] ### Install packages
%[text] Install Numpy (in quiet mode with flag `-q`) and time it
system('time uv pip install -q numpy'); %[output:5df0d1ab]
%%
%[text] Install pytorch
tic;
system('uv pip install -q torch');
toc %[output:1361c970]
%%
system('uv pip install demucs'); %[output:96b539e7]
%%
%[text] ### Demucs
inputFile = "audio.mp3";
outputDir = "demucs_output";
cmd = sprintf('demucs %s -o %s -n htdemucs_ft',inputFile,outputDir);
% For GPU, add flags like `--gpu`; for WAV output, adjust format options.
status = system(cmd); %[output:6ec727f5]
if status ~= 0
error('Demucs failed to run');
end
%%
%[text] ### Visualize tracks
filePath = fullfile(outputDir,'htdemucs_ft','audio');
[vocals, fs] = audioread(fullfile(filePath, 'vocals.wav'));
[bass, ~] = audioread(fullfile(filePath, 'bass.wav'));
drums = audioread(fullfile(filePath, 'drums.wav'));
others = audioread(fullfile(filePath, 'other.wav'));
figure; %[output:7b2d36f1]
subplot(4,1,1); plot(vocals); title('Vocals'); %[output:7b2d36f1]
subplot(4,1,2); plot(bass); title('Bass'); %[output:7b2d36f1]
subplot(4,1,3); plot(drums); title('Drums'); %[output:7b2d36f1]
subplot(4,1,4); plot(others); title('Other'); %[output:7b2d36f1]
%%
%[text] ###
%[appendix]{"version":"1.0"}
%---
%[metadata:view]
% data: {"layout":"inline"}
%---
%[output:09e95903]
% data: {"dataType":"text","outputData":{"text":"curl: \/MATLAB\/bin\/glnxa64\/libcurl.so.4: no version information available (required by curl)\ndownloading uv 0.8.15 x86_64-unknown-linux-gnu\ncurl: \/MATLAB\/bin\/glnxa64\/libcurl.so.4: no version information available (required by curl)\nno checksums to verify\ninstalling to \/home\/matlab\/.local\/bin\n uv\n uvx\neverything's installed!\n\nTo add $HOME\/.local\/bin to your PATH, either restart your shell or run:\n\n source $HOME\/.local\/bin\/env (sh, bash, zsh)\n source $HOME\/.local\/bin\/env.fish (fish)\n","truncated":false}}
%---
%[output:25ac6de9]
% data: {"dataType":"text","outputData":{"text":"\/home\/matlab\/.local\/bin\/uv\n","truncated":false}}
%---
%[output:3e187644]
% data: {"dataType":"text","outputData":{"text":"uv 0.8.15\n","truncated":false}}
%---
%[output:252e3d46]
% data: {"dataType":"text","outputData":{"text":"uvx 0.8.15\n","truncated":false}}
%---
%[output:0fce7f6c]
% data: {"dataType":"text","outputData":{"text":"Python 3.10.17\n","truncated":false}}
%---
%[output:17c364f3]
% data: {"dataType":"text","outputData":{"text":"Using CPython 3.10.17 interpreter at: \u001b[36m\/usr\/bin\/python\u001b[39m\nCreating virtual environment at: \u001b[36m\/home\/matlab\/venvs\/env\u001b[39m\nActivate with: \u001b[32msource \/home\/matlab\/venvs\/env\/bin\/activate\u001b[39m\n","truncated":false}}
%---
%[output:5df0d1ab]
% data: {"dataType":"text","outputData":{"text":"\nreal\t0m0.078s\nuser\t0m0.009s\nsys\t0m0.028s\n","truncated":false}}
%---
%[output:1361c970]
% data: {"dataType":"text","outputData":{"text":"Elapsed time is 0.291048 seconds.\n","truncated":false}}
%---
%[output:96b539e7]
% data: {"dataType":"text","outputData":{"text":"\u001b[2mUsing Python 3.10.17 environment at: \/home\/matlab\/venvs\/env\u001b[0m\n\u001b[37m⠋\u001b[0m \u001b[2mResolving dependencies... \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mResolving dependencies... \u001b[0m\r\u001b[2K\u001b[37m⠋\u001b[0m \u001b[2mResolving dependencies... \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mResolving dependencies... \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mdemucs==4.0.1 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mdora-search==0.1.12 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2meinops==0.8.1 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mjulius==0.2.7 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mlameenc==1.8.1 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mopenunmix==1.3.0 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mpyyaml==6.0.2 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mtorch==2.8.0 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cuda-nvrtc-cu12==12.8.93 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cuda-nvrtc-cu12==12.8.93 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cuda-runtime-cu12==12.8.90 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cuda-runtime-cu12==12.8.90 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cuda-cupti-cu12==12.8.90 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cuda-cupti-cu12==12.8.90 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cudnn-cu12==9.10.2.21 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cudnn-cu12==9.10.2.21 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cublas-cu12==12.8.4.1 \u001b[0m\r\u001b[2K\u001b[37m⠙\u001b[0m \u001b[2mnvidia-cublas-cu12==12.8.4.1 \u001b[0m\r\u001b[2K\u001b[2mResolved \u001b[1m41 packages\u001b[0m \u001b[2min 29ms\u001b[0m\u001b[0m\n░░░░░░░░░░░░░░░░░░░░ [0\/0] \u001b[2mInstalling wheels... \u001b[0m\r\u001b[2K░░░░░░░░░░░░░░░░░░░░ [0\/15] \u001b[2mInstalling wheels... \u001b[0m\r\u001b[2K░░░░░░░░░░░░░░░░░░░░ [0\/15] \u001b[2mcloudpickle==3.1.1 \u001b[0m\r\u001b[2K█░░░░░░░░░░░░░░░░░░░ [1\/15] \u001b[2mcloudpickle==3.1.1 \u001b[0m\r\u001b[2K█░░░░░░░░░░░░░░░░░░░ [1\/15] \u001b[2meinops==0.8.1 \u001b[0m\r\u001b[2K██░░░░░░░░░░░░░░░░░░ [2\/15] \u001b[2meinops==0.8.1 \u001b[0m\r\u001b[2K██░░░░░░░░░░░░░░░░░░ [2\/15] \u001b[2mretrying==1.4.2 \u001b[0m\r\u001b[2K████░░░░░░░░░░░░░░░░ [3\/15] \u001b[2mretrying==1.4.2 \u001b[0m\r\u001b[2K████░░░░░░░░░░░░░░░░ [3\/15] \u001b[2mtreetable==0.2.6 \u001b[0m\r\u001b[2K█████░░░░░░░░░░░░░░░ [4\/15] \u001b[2mtreetable==0.2.6 \u001b[0m\r\u001b[2K█████░░░░░░░░░░░░░░░ [4\/15] \u001b[2msubmitit==1.5.3 \u001b[0m\r\u001b[2K██████░░░░░░░░░░░░░░ [5\/15] \u001b[2msubmitit==1.5.3 \u001b[0m\r\u001b[2K██████░░░░░░░░░░░░░░ [5\/15] \u001b[2mlameenc==1.8.1 \u001b[0m\r\u001b[2K████████░░░░░░░░░░░░ [6\/15] \u001b[2mlameenc==1.8.1 \u001b[0m\r\u001b[2K████████░░░░░░░░░░░░ [6\/15] \u001b[2momegaconf==2.3.0 \u001b[0m\r\u001b[2K█████████░░░░░░░░░░░ [7\/15] \u001b[2momegaconf==2.3.0 \u001b[0m\r\u001b[2K█████████░░░░░░░░░░░ [7\/15] \u001b[2mpyyaml==6.0.2 \u001b[0m\r\u001b[2K██████████░░░░░░░░░░ [8\/15] \u001b[2mpyyaml==6.0.2 \u001b[0m\r\u001b[2K██████████░░░░░░░░░░ [8\/15] \u001b[2mjulius==0.2.7 \u001b[0m\r\u001b[2K████████████░░░░░░░░ [9\/15] \u001b[2mjulius==0.2.7 \u001b[0m\r\u001b[2K\u001b[2mInstalled \u001b[1m15 packages\u001b[0m \u001b[2min 5ms\u001b[0m\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mantlr4-python3-runtime\u001b[0m\u001b[2m==4.9.3\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mcloudpickle\u001b[0m\u001b[2m==3.1.1\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mdemucs\u001b[0m\u001b[2m==4.0.1\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mdora-search\u001b[0m\u001b[2m==0.1.12\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1meinops\u001b[0m\u001b[2m==0.8.1\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mjulius\u001b[0m\u001b[2m==0.2.7\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mlameenc\u001b[0m\u001b[2m==1.8.1\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1momegaconf\u001b[0m\u001b[2m==2.3.0\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mopenunmix\u001b[0m\u001b[2m==1.3.0\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mpyyaml\u001b[0m\u001b[2m==6.0.2\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mretrying\u001b[0m\u001b[2m==1.4.2\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1msubmitit\u001b[0m\u001b[2m==1.5.3\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mtorchaudio\u001b[0m\u001b[2m==2.8.0\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mtqdm\u001b[0m\u001b[2m==4.67.1\u001b[0m\n \u001b[32m+\u001b[39m \u001b[1mtreetable\u001b[0m\u001b[2m==0.2.6\u001b[0m\n","truncated":false}}
%---
%[output:6ec727f5]
% data: {"dataType":"text","outputData":{"text":"Downloading: \"https:\/\/dl.fbaipublicfiles.com\/demucs\/hybrid_transformer\/f7e0c4bc-ba3fe64a.th\" to \/home\/matlab\/.cache\/torch\/hub\/checkpoints\/f7e0c4bc-ba3fe64a.th\n\r 0% 0.00\/80.2M [00:00<?, ?B\/s]\r 52% 41.8M\/80.2M [00:00<00:00, 437MB\/s]\r100% 80.2M\/80.2M [00:00<00:00, 462MB\/s]\nDownloading: \"https:\/\/dl.fbaipublicfiles.com\/demucs\/hybrid_transformer\/d12395a8-e57c48e6.th\" to \/home\/matlab\/.cache\/torch\/hub\/checkpoints\/d12395a8-e57c48e6.th\n\r 0% 0.00\/80.2M [00:00<?, ?B\/s]\r 47% 37.5M\/80.2M [00:00<00:00, 393MB\/s]\r100% 80.2M\/80.2M [00:00<00:00, 447MB\/s]\nDownloading: \"https:\/\/dl.fbaipublicfiles.com\/demucs\/hybrid_transformer\/92cfc3b6-ef3bcb9c.th\" to \/home\/matlab\/.cache\/torch\/hub\/checkpoints\/92cfc3b6-ef3bcb9c.th\n\r 0% 0.00\/80.2M [00:00<?, ?B\/s]\r 17% 13.4M\/80.2M [00:00<00:00, 140MB\/s]\r 39% 31.4M\/80.2M [00:00<00:00, 168MB\/s]\r 67% 53.5M\/80.2M [00:00<00:00, 197MB\/s]\r100% 80.2M\/80.2M [00:00<00:00, 217MB\/s]\nDownloading: \"https:\/\/dl.fbaipublicfiles.com\/demucs\/hybrid_transformer\/04573f0d-f3cf25b2.th\" to \/home\/matlab\/.cache\/torch\/hub\/checkpoints\/04573f0d-f3cf25b2.th\n\r 0% 0.00\/80.2M [00:00<?, ?B\/s]\r 54% 43.5M\/80.2M [00:00<00:00, 455MB\/s]\r100% 80.2M\/80.2M [00:00<00:00, 471MB\/s]\nSelected model is a bag of 4 models. You will see that many progress bars per track.\nSeparated tracks will be stored in \/MATLAB Drive\/demucs\/demucs_output\/htdemucs_ft\nSeparating track audio.mp3\n\r 0%| | 0.0\/64.35 [00:00<?, ?seconds\/s]\r 9%|██████▋ | 5.85\/64.35 [00:04<00:48, 1.21seconds\/s]\r 18%|█████████████▎ | 11.7\/64.35 [00:06<00:24, 2.16seconds\/s]\r 27%|████████████████ | 17.549999999999997\/64.35 [00:07<00:16, 2.78seconds\/s]\r 36%|██████████████████████████▌ | 23.4\/64.35 [00:08<00:12, 3.25seconds\/s]\r 45%|████████████████████████████████▋ | 29.25\/64.35 [00:10<00:09, 3.58seconds\/s]\r 55%|████████████████████████████████▏ | 35.099999999999994\/64.35 [00:11<00:07, 3.89seconds\/s]\r 64%|█████████████████████████████████████▌ | 40.949999999999996\/64.35 [00:12<00:05, 4.10seconds\/s]\r 73%|█████████████████████████████████████████████████████ | 46.8\/64.35 [00:13<00:04, 4.25seconds\/s]\r 82%|██████████████████████████████████████████████████████████▉ | 52.65\/64.35 [00:15<00:02, 4.27seconds\/s]\r 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4.66seconds\/s]\n\/home\/matlab\/venvs\/env\/lib\/python3.10\/site-packages\/torchaudio\/_backend\/utils.py:337: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.save_with_torchcodec` under the hood. Some parameters like format, encoding, bits_per_sample, buffer_size, and ``backend`` will be ignored. We recommend that you port your code to rely directly on TorchCodec's encoder instead: https:\/\/docs.pytorch.org\/torchcodec\/stable\/generated\/torchcodec.encoders.AudioEncoder\n warnings.warn(\n\/home\/matlab\/venvs\/env\/lib\/python3.10\/site-packages\/torchaudio\/_backend\/ffmpeg.py:247: UserWarning: torio.io._streaming_media_encoder.StreamingMediaEncoder has been deprecated. This deprecation is part of a large refactoring effort to transition TorchAudio into a maintenance phase. The decoding and encoding capabilities of PyTorch for both audio and video are being consolidated into TorchCodec. Please see https:\/\/github.com\/pytorch\/audio\/issues\/3902 for more information. It will be removed from the 2.9 release. \n s = torchaudio.io.StreamWriter(uri, format=muxer, buffer_size=buffer_size)\n","truncated":false}}
%---
%[output:7b2d36f1]
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%---

demucs with uv online Open in MATLAB Online

Table of Contents

  Install uv

  Set up uv

  Create and activate a virtual environment

  Install packages

  Demucs

  Visualize tracks

Install uv

!curl -LsSf https://astral.sh/uv/install.sh | sh
curl: /MATLAB/bin/glnxa64/libcurl.so.4: no version information available (required by curl)
downloading uv 0.8.15 x86_64-unknown-linux-gnu
curl: /MATLAB/bin/glnxa64/libcurl.so.4: no version information available (required by curl)
no checksums to verify
installing to /home/matlab/.local/bin
  uv
  uvx
everything's installed!

To add $HOME/.local/bin to your PATH, either restart your shell or run:

    source $HOME/.local/bin/env (sh, bash, zsh)
    source $HOME/.local/bin/env.fish (fish)

Set up uv

% 1) Point PATH to where uv was installed
setenv('PATH', [getenv('HOME') '/.local/bin:' getenv('PATH')]);
% Sanity checks
system('which uv');         % should print ~/.local/bin/uv
/home/matlab/.local/bin/uv
system('uv --version'); 
uv 0.8.15
system('uvx --version');
uvx 0.8.15
system('python --version');
Python 3.10.17

Create and activate a virtual environment

Setting the --clear flag to reset already existing environment called env that might exist in the same location

% 2) Create a venv OUTSIDE MATLAB Drive (symlinks are fine here)
system('~/.local/bin/uv venv --clear /home/matlab/venvs/env');
Using CPython 3.10.17 interpreter at: �[36m/usr/bin/python�[39m
Creating virtual environment at: �[36m/home/matlab/venvs/env�[39m
Activate with: �[32msource /home/matlab/venvs/env/bin/activate�[39m
% 3) "Activate" it for this MATLAB session
setenv('VIRTUAL_ENV','/home/matlab/venvs/env');
setenv('PATH', ['/home/matlab/venvs/env/bin:' getenv('PATH')]);

Install packages

Install Numpy (in quiet mode with flag -q) and time it

system('time uv pip install -q numpy');
real    0m0.078s
user    0m0.009s
sys    0m0.028s

Install pytorch

tic;
system('uv pip install -q torch');
toc
Elapsed time is 0.291048 seconds.
system('uv pip install demucs');
�[2mUsing Python 3.10.17 environment at: /home/matlab/venvs/env�[0m
�[37m⠋�[0m �[2mResolving dependencies...                                                     �[0m
�[2K�[37m⠙�[0m �[2mResolving dependencies...                                                     �[0m
�[2K�[37m⠋�[0m �[2mResolving dependencies...                                                     �[0m
�[2K�[37m⠙�[0m �[2mResolving dependencies...                                                     �[0m
�[2K�[37m⠙�[0m �[2mdemucs==4.0.1                                                                 �[0m
�[2K�[37m⠙�[0m �[2mdora-search==0.1.12                                                           �[0m
�[2K�[37m⠙�[0m �[2meinops==0.8.1                                                                 �[0m
�[2K�[37m⠙�[0m �[2mjulius==0.2.7                                                                 �[0m
�[2K�[37m⠙�[0m �[2mlameenc==1.8.1                                                                �[0m
�[2K�[37m⠙�[0m �[2mopenunmix==1.3.0                                                              �[0m
�[2K�[37m⠙�[0m �[2mpyyaml==6.0.2                                                                 �[0m
�[2K�[37m⠙�[0m �[2mtorch==2.8.0                                                                  �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cuda-nvrtc-cu12==12.8.93                                               �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cuda-nvrtc-cu12==12.8.93                                               �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cuda-runtime-cu12==12.8.90                                             �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cuda-runtime-cu12==12.8.90                                             �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cuda-cupti-cu12==12.8.90                                               �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cuda-cupti-cu12==12.8.90                                               �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cudnn-cu12==9.10.2.21                                                  �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cudnn-cu12==9.10.2.21                                                  �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cublas-cu12==12.8.4.1                                                  �[0m
�[2K�[37m⠙�[0m �[2mnvidia-cublas-cu12==12.8.4.1                                                  �[0m
�[2K�[2mResolved �[1m41 packages�[0m �[2min 29ms�[0m�[0m
░░░░░░░░░░░░░░░░░░░░ [0/0] �[2mInstalling wheels...                                 �[0m
�[2K░░░░░░░░░░░░░░░░░░░░ [0/15] �[2mInstalling wheels...                                �[0m
�[2K░░░░░░░░░░░░░░░░░░░░ [0/15] �[2mcloudpickle==3.1.1                                  �[0m
�[2K█░░░░░░░░░░░░░░░░░░░ [1/15] �[2mcloudpickle==3.1.1                                  �[0m
�[2K█░░░░░░░░░░░░░░░░░░░ [1/15] �[2meinops==0.8.1                                       �[0m
�[2K██░░░░░░░░░░░░░░░░░░ [2/15] �[2meinops==0.8.1                                       �[0m
�[2K██░░░░░░░░░░░░░░░░░░ [2/15] �[2mretrying==1.4.2                                     �[0m
�[2K████░░░░░░░░░░░░░░░░ [3/15] �[2mretrying==1.4.2                                     �[0m
�[2K████░░░░░░░░░░░░░░░░ [3/15] �[2mtreetable==0.2.6                                    �[0m
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Demucs

inputFile = "audio.mp3";
outputDir = "demucs_output";
cmd = sprintf('demucs %s -o %s -n htdemucs_ft',inputFile,outputDir);
% For GPU, add flags like `--gpu`; for WAV output, adjust format options.
status = system(cmd);
Downloading: "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/f7e0c4bc-ba3fe64a.th" to /home/matlab/.cache/torch/hub/checkpoints/f7e0c4bc-ba3fe64a.th

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Downloading: "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/d12395a8-e57c48e6.th" to /home/matlab/.cache/torch/hub/checkpoints/d12395a8-e57c48e6.th

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Downloading: "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/92cfc3b6-ef3bcb9c.th" to /home/matlab/.cache/torch/hub/checkpoints/92cfc3b6-ef3bcb9c.th

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Downloading: "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/04573f0d-f3cf25b2.th" to /home/matlab/.cache/torch/hub/checkpoints/04573f0d-f3cf25b2.th

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Selected model is a bag of 4 models. You will see that many progress bars per track.
Separated tracks will be stored in /MATLAB Drive/demucs/demucs_output/htdemucs_ft
Separating track audio.mp3

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/home/matlab/venvs/env/lib/python3.10/site-packages/torchaudio/_backend/utils.py:337: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.save_with_torchcodec` under the hood. Some parameters like format, encoding, bits_per_sample, buffer_size, and ``backend`` will be ignored. We recommend that you port your code to rely directly on TorchCodec's encoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.encoders.AudioEncoder
  warnings.warn(
/home/matlab/venvs/env/lib/python3.10/site-packages/torchaudio/_backend/ffmpeg.py:247: UserWarning: torio.io._streaming_media_encoder.StreamingMediaEncoder has been deprecated. This deprecation is part of a large refactoring effort to transition TorchAudio into a maintenance phase. The decoding and encoding capabilities of PyTorch for both audio and video are being consolidated into TorchCodec. Please see https://github.com/pytorch/audio/issues/3902 for more information. It will be removed from the 2.9 release. 
  s = torchaudio.io.StreamWriter(uri, format=muxer, buffer_size=buffer_size)
if status ~= 0
    error('Demucs failed to run');
end

Visualize tracks

filePath = fullfile(outputDir,'htdemucs_ft','audio');
[vocals, fs] = audioread(fullfile(filePath, 'vocals.wav'));
[bass, ~]    = audioread(fullfile(filePath, 'bass.wav'));
drums = audioread(fullfile(filePath, 'drums.wav'));
others = audioread(fullfile(filePath, 'other.wav'));
figure;
subplot(4,1,1); plot(vocals); title('Vocals');
subplot(4,1,2); plot(bass); title('Bass');
subplot(4,1,3); plot(drums); title('Drums');
subplot(4,1,4); plot(others); title('Other');

figure_0.png

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