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GUI for a Vocal Remover that uses Deep Neural Networks.

License: MIT License

Python 67.59% Tcl 32.40% Shell 0.01%

vocal-remover pytorch source separation kareokee karaoke spectrogram instrumental vocal vocals

ultimatevocalremovergui's Introduction

Ultimate Vocal Remover GUI v5.6

About

This application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models).

Core Developers
- Anjok07
- aufr33
Support the Project
- Donate

Installation

These bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.

Windows Installation

Please Note:
- This installer is intended for those running Windows 10 or higher.
- Application functionality for systems running Windows 7 or lower is not guaranteed.
- Application functionality for Intel Pentium & Celeron CPUs systems is not guaranteed.
- You must install UVR to the main C:\ drive. Installing UVR to a secondary drive will cause instability.
Download the UVR installer for Windows via the link below:
- Main Download Link
- Main Download Link mirror
If you use an AMD Radeon or Intel Arc graphics card, you can try the OpenCL version:
- OpenCL Version - Main Download Link
Update Package instructions for those who have UVR already installed:
- If you already have UVR installed you can install this package over it or download it straight from the application or click here for the patch.

Windows Manual Installation

Manual Windows Installation

Download and extract the repository here
Download and install Python here
- Make sure to check "Add python.exe to PATH" during the install
Run the following commands from the extracted repo directory:

python.exe -m pip install -r requirements.txt

If you have a compatible Nvidia GPU, run the following command:

python.exe -m pip install --upgrade torch --extra-index-url https://download.pytorch.org/whl/cu117

If you do not have FFmpeg or Rubber Band installed and want to avoid going through the process of installing them the long way, follow the instructions below.

FFmpeg Installation

Download the precompiled build here
From the archive, extract the following file to the UVR application directory:
- ffmpeg-5.1.2-essentials_build/bin/ffmpeg.exe

Rubber Band Installation

In order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band.

Download the precompiled build here
From the archive, extract the following files to the UVR application directory:
- rubberband-3.1.2-gpl-executable-windows/rubberband.exe
- rubberband-3.1.2-gpl-executable-windows/sndfile.dll

MacOS Installation

Please Note:
- The MacOS Sonoma mouse clicking issue has been fixed.
- MPS (GPU) acceleration for Mac M1 has been expanded to work with Demucs v4 and all MDX-Net models.
- This bundle is intended for those running macOS Big Sur and above.
- Application functionality for systems running macOS Catalina or lower is not guaranteed.
- Application functionality for older or budget Mac systems is not guaranteed.
- Once everything is installed, the application may take up to 5-10 minutes to start for the first time (depending on your Macbook).
Download the UVR dmg for MacOS via one of the links below:
- Mac M1 (arm64) users:
  - Main Download Link
  - Main Download Link mirror
- Mac Intel (x86_64) users:
  - Main Download Link
  - Main Download Link mirror

MacOS Users: Having Trouble Opening UVR?

Due to Apples strict application security, you may need to follow these steps to open UVR.

First, run the following command via Terminal.app to allow applications to run from all sources (it's recommended that you re-enable this once UVR opens properly.)
sudo spctl --master-disable
Second, run the following command to bypass Notarization:
sudo xattr -rd com.apple.quarantine /Applications/Ultimate\ Vocal\ Remover.app

Manual MacOS Installation

Download and save this repository here
Download and install Python 3.10 here
From the saved directory run the following -

pip3 install -r requirements.txt

If your Mac is running with an M1, please run the following command next. If not, skip this step. -

cp /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile_arm64.dylib /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile.dylib

FFmpeg Installation

Once everything is done installing, download the correct FFmpeg binary for your system here and place it into the main application directory.

Rubber Band Installation

In order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band.

Download the precompiled build here
From the archive, extract the following files to the UVR/lib_v5 application directory:
- rubberband-3.1.2-gpl-executable-macos/rubberband

This process has been tested on a MacBook Pro 2021 (using M1) and a MacBook Air 2017 and is confirmed to be working on both.

Linux Installation

See Linux Installation Instructions

These install instructions are for Debian & Arch based Linux systems.

Download and save this repository here
From the saved directory run the following commands in this order-

For Debian Based (Ubuntu, Mint, etc.):

sudo apt update && sudo apt upgrade
sudo apt-get update
sudo apt install ffmpeg
sudo apt install python3-pip
sudo apt-get -y install python3-tk
pip3 install -r requirements.txt
python3 UVR.py

For Arch Based (EndeavourOS):

sudo pacman -Syu
sudo pacman -Sy
sudo pacman -S python-pip
sudo pacman -S --noconfirm tk
sudo pacman -S ffmpeg

To bypass environment setup and proceed with the installation, use:

Take caution; this modifies system files.

sudo rm /usr/lib/python3.11/EXTERNALLY-MANAGED

Then proceed with the following in order:

chmod +x install_packages.sh
./install_packages.sh
python UVR.py

Other Application Notes

Nvidia RTX 1060 6GB is the minimum requirement for GPU conversions.
Nvidia GPUs with at least 8GBs of V-RAM are recommended.
AMD Radeon GPU supported is limited at this time.
- There is currently a working branch for AMD GPU users here
This application is only compatible with 64-bit platforms.
This application relies on the Rubber Band library for the Time-Stretch and Pitch-Shift options.
This application relies on FFmpeg to process non-wav audio files.
The application will automatically remember your settings when closed.
Conversion times will significantly depend on your hardware.
These models are computationally intensive.

Performance:

Model load times are faster.
Importing/exporting audio files is faster.

Troubleshooting

Common Issues

If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
Memory allocation errors can usually be resolved by lowering the "Segment" or "Window" sizes.

MacOS Sonoma Left-click Bug

There's a known issue on MacOS Sonoma where left-clicks aren't registering correctly within the app. This was impacting all applications built with Tkinter on Sonoma and has since been resolved. Please download the latest version via the following link if you are still experiencing issues - link

This issue was being tracked here.

Issue Reporting

Please be as detailed as possible when posting a new issue.

If possible, click the "Settings Button" to the left of the "Start Processing" button and click the "Error Log" button for detailed error information that can be provided to us.

License

The Ultimate Vocal Remover GUI code is MIT-licensed.

Please Note: For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers.

Credits

ZFTurbo - Created & trained the weights for the new MDX23C models.
DilanBoskan - Your contributions at the start of this project were essential to the success of UVR. Thank you!
Bas Curtiz - Designed the official UVR logo, icon, banner, and splash screen.
tsurumeso - Developed the original VR Architecture code.
Kuielab & Woosung Choi - Developed the original MDX-Net AI code.
Adefossez & Demucs - Developed the original Demucs AI code.
KimberleyJSN - Advised and aided the implementation of the training scripts for MDX-Net and Demucs. Thank you!
Hv - Helped implement chunks into the MDX-Net AI code. Thank you!

Contributing

For anyone interested in the ongoing development of Ultimate Vocal Remover GUI, please send us a pull request, and we will review it.
This project is 100% open-source and free for anyone to use and modify as they wish.
We only maintain the development and support for the Ultimate Vocal Remover GUI and the models provided.

References

[1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf

ultimatevocalremovergui's People

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Watchers

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ultimatevocalremovergui's Issues

A NEW MODEL THAT ALLOWS TO FILTER VERY-HIGH PITCHED OR WHISTLING VOICES

Hi, I just want to say that this program works great with 99% of songs, and with almost 98% of quality; way above Spleeter and others. But I have a problem with certain songs by the falsetto queens: Mariah Carey and Ariana Grande (the program doesn't filter very well the whistles parts). I would very much like you to add a model that allows us to do this job better, and thus be able to obtain 99% clean instruments. Otherwise the program is excellent. I would say that it doesn't need any more improvements apart from the one I mentioned. Thanks for reading my suggestion.

vocalremover.py keeps closing

Hi. I have followed your instructions by installing what is needed using command line, but when I try to open vocal remover.py, it closes automatically.

Traceback Error?

Save last selected models when application is closed/reopened.

Originally posted by @Zcooger in #34 (comment)

A feature

Can you add in this program a feature to separate the woman’s voice from the man’s voice

train model commande line

i want train model command line work on cpu , because When I trained my own model, he said that you need an NVIDIA, NVIDIA graphics card I don't own, I have Intel
(base) C:\Users\DESKTOP\Downloads\vocal-remover-v3.0.0\vocal-remover>python train.py -i dataset/instruments -m dataset/mixtures -M 0.5 -g 0
1 05_too_mix.wav 05_too_inst.wav
Traceback (most recent call last):
File "train.py", line 225, in
main()
File "train.py", line 136, in main
model.cuda()
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 458, in cuda
return self._apply(lambda t: t.cuda(device))
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 354, in _apply
module._apply(fn)
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 354, in _apply
module._apply(fn)
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 354, in _apply
module._apply(fn)
[Previous line repeated 2 more times]
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 376, in _apply
param_applied = fn(param)
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 458, in
return self.apply(lambda t: t.cuda(device))
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\cuda_init.py", line 186, in _lazy_init
check_driver()
File "C:\Users\DESKTOP\miniconda3\lib\site-packages\torch\cuda_init.py", line 68, in _check_driver
http://www.nvidia.com/Download/index.aspx""")
AssertionError:
Found no NVIDIA driver on your system. Please check that you
have an NVIDIA GPU and installed a driver from
http://www.nvidia.com/Download/index.aspx

Crashing at "inverse stft of instruments and vocals"

Using GPU or CPU, it gets to "inverse stft of instruments and vocals", hangs for about 30 seconds, then closes. This is on v2 and v4. I tried with the latest version of tsurumeso's command line vocal remover and it works fine.

I'm using a GTX 1080ti, 32GB of system RAM, Windows 10. I tried with a clean install of both Python 3.8 and 3.7.

The console output:
100%|██████████████████████████████████████████████████████████████████████████████████| 42/42 [00:03<00:00, 11.34it/s]

Installed packages:

audioread==2.1.9
cffi==1.14.3
dataclasses==0.6
decorator==4.4.2
future==0.18.2
joblib==0.17.0
librosa==0.6.3
llvmlite==0.31.0
numba==0.48.0
numpy==1.19.4
opencv-python==4.4.0.46
Pillow==8.0.1
pycparser==2.20
resampy==0.2.2
scikit-learn==0.23.2
scipy==1.5.4
six==1.15.0
SoundFile==0.10.3.post1
soundstretch==1.2
threadpoolctl==2.1.0
torch==1.7.0+cu110
torchaudio==0.7.0
torchvision==0.8.1+cu110
tqdm==4.30.0
typing-extensions==3.7.4.3

Installation documentation is outdated for torch

It appears that the version's git specified in the installation doesn't exist anymore, what should I do?

vocalremover.py doesn't open

Hi everyone. I can't seem to run vocalremover.py. It just doesn't open. This is what I got:

Traceback (most recent call last):
File "VocalRemover.py", line 25, in
import inference_v2
File "C:\Users\thijs\UVR-V4GUI\inference_v2.py", line 5, in
import librosa
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa_init_.py", line 12, in
from . import core
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\core_init_.py", line 125, in
from .time_frequency import * # pylint: disable=wildcard-import
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\core\time_frequency.py", line 11, in
from ..util.exceptions import ParameterError
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\util_init_.py", line 77, in
from .utils import * # pylint: disable=wildcard-import
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\librosa\util\utils.py", line 5, in
import scipy.ndimage
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\scipy_init_.py", line 130, in
from . import distributor_init
File "C:\Users\thijs\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\scipy_distributor_init.py", line 61, in
WinDLL(os.path.abspath(filename))
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.2544.0_x64__qbz5n2kfra8p0\lib\ctypes_init.py", line 364, in init
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] Kan opgegeven module niet vinden

Thank you in advance!

Model training tutorial

It's me Joe again. So this time I have a little request. Can you make a tutorial about how you training your own v4 model please? I can't find any video about the "vocal remove model training" on youtube or other website. Anyway, once again, I love your project.

one progress bar instead of two progress bars

I wonder why I see two progress bars, I think one progress bar is sufficient, knowing that the first progress bar is the same as the second progress bar
Is it possible to modify the program to show one progress bar in stead of two progress bars to reduce the time

The end of the song remains unprocessed

There's a bug in version 2.2.0. Like the command version, the last few seconds in the accompaniment are unprocessed. Hope you'll fix it soon. Thank you!

ERROR: Command errored out with exit status 1

Got this just now while running pip install --no-cache-dir -r requirements.txt. Updated pip and installed Python 3.7 (I had 3.9)
It doesn't feel like there's a clear way of resolving this in the error description, any ideas on how I could fix this?

Video tutorial pls, i can't install((

'pip' is not recognized as an internal or external command, operable program or batch file.

When trying to install the requirements needed in 'requirements.txt' I keep on getting this error and I don't know how to fix it.

UVR is not freeing VRAM after inference

As seen by some users.
I noticed it personally after using V4 models with stacking and not.

could not find version that satisfies...

this is the error i get when trying to download:

C:\WINDOWS\system32>pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
ERROR: Could not find a version that satisfies the requirement torch==1.5.0+cpu (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
ERROR: No matching distribution found for torch==1.5.0+cpu

RuntimeError Error opening file [Windows 10 VM - Build 19041.vb_release.191206-1406]

Describe the bug
Program crashes when saving audio files. This is happening with multiple songs and always fails after at the 2nd file.

To Reproduce
Steps to reproduce the behavior:

Cmd (Admin): python VolcalRemover.py

Config:

MGM_MAIN_v4_sr44100_hl512_nf2048.pth
StackedMGM_MM_v4_sr44100_hl512_nf2048.pth
Stack Passes: 3
Save All Stacked Outputs
Model Test Mode

Expected behavior
Audio tracks are saved.

Screenshots

Desktop (please complete the following information):

OS: Windows 10 VM - Build 19041.vb_release.191206-1406

Additional context

C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\core\audio.py:161: UserWarning: PySoundFile failed. Trying audioread instead.
  warnings.warn('PySoundFile failed. Trying audioread instead.')
100%|████████████████████████████████████████████████████████████████████████████████| 118/118 [07:08<00:00,  3.63s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 172/172 [10:38<00:00,  3.71s/it]
  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 486, in main
    save_files(wav_instrument, wav_vocals)
  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 354, in save_files
    wav_instrument.T, sr)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 315, in write
    subtype, endian, format, closefd) as f:
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 629, in __init__
    self._file = self._open(file, mode_int, closefd)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1184, in _open
    "Error opening {0!r}: ".format(self.name))
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1357, in _error_check
    raise RuntimeError(prefix + _ffi.string(err_str).decode('utf-8', 'replace'))

RuntimeError Error opening 'C:/Users/User/Desktop/Karaoke/Vocal Removal/MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048\\1_O.A.R. - Night Shift Stacked Outputs/1_O.A.R. - Night Shift_(Instrumental_1_Stacked_Output)_MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048.wav': System error.
Traceback Error: "  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 486, in main
    save_files(wav_instrument, wav_vocals)
  File "C:\Users\User\Desktop\UVR-V4GUI\inference_v4.py", line 354, in save_files
    wav_instrument.T, sr)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 315, in write
    subtype, endian, format, closefd) as f:
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 629, in __init__
    self._file = self._open(file, mode_int, closefd)
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1184, in _open
    "Error opening {0!r}: ".format(self.name))
  File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\site-packages\soundfile.py", line 1357, in _error_check
    raise RuntimeError(prefix + _ffi.string(err_str).decode('utf-8', 'replace'))
"
RuntimeError: "Error opening 'C:/Users/User/Desktop/Karaoke/Vocal Removal/MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048\\1_O.A.R. - Night Shift Stacked Outputs/1_O.A.R. - Night Shift_(Instrumental_1_Stacked_Output)_MGM_HIGHEND_v4_sr44100_hl1024_nf2048-StackedMGM_LL_v4_sr32000_hl512_nf2048.wav': System error."
File: temp.wav
Loop: 1
Please contact the creator and attach a screenshot of this error with the file and settings that caused it!

Unified model

Anjok07 My opinion is that you create only one model that combines the ability to do any type effectively with improvements and And cleanliness , The work you will do for 3 models , Collect it into one model , in order not to do the same process 3 times

Training dataset

Hi could you please provide the dataset that you used to train your model?
Thank you

it just doesn't open

I tried to install it many times and it just doesn't work for me. Could anyone help me?
Thank you.

CUDA 3.5 is not supported

Describe the bug

I have a Geforce GT 730 graphics card that uses CUDA version 3.5, but pyTorch does not support this version of CUDA. Is there some way to build pyTorch with this option supported?

To Reproduce
Steps to reproduce the behavior:

GPU Acceleration

Expected behavior

I would like to run hardware acceleration on my graphics card, as without it the conversion process takes 3 to 6 hours.

Screenshots

Desktop (please complete the following information):

OS: Windows 7 Ultimate
Browser Chrome
Version 87.0.4280.88
Python version: 3.8.7

Traceback Error

How can I fix this?

I'm running phyton 3.8.6 on Windows 10:

Thanks.

CUDA error: an illegal memory access was encountered

Hi, this problem randomly happened to me. So I don't know how to fix it. Maybe it's a bug or something ?

Discord for UVR and other audio splitting tools

We have an unofficial discord for audio splitting tools (yes, including Ultimate Vocal Remover GUI). It’s mainly used for Spleeter but this app seems to work better.
Link: https://discord.gg/P7FhQFH

Add drag and drop

I suggest adding drag and drop for the entire window or file selection field. It would also be nice to remember the last directory in the browse file window. And add a button to open the folder with the results.

No module named 'PIL'

Tried to open vocalremover.py, cmd gave "No module named 'PIL'" error message.

D:\UVR_V4GUI_All_IN_ONE_12_10\UVR-V4GUI>python VocalRemover.py
Traceback (most recent call last):
File "D:\UVR_V4GUI_All_IN_ONE_12_10\UVR-V4GUI\VocalRemover.py", line 10, in
from PIL import Image
ModuleNotFoundError: No module named 'PIL'

I'm using Windows 10, went to the trouble of figuring out how to download pip, install the packages linked in the setup section, etc. etc., eventually finding out that I needed Python 64 anyway :/
I have no idea what this PIL message means. If it helps, my external drive decided to disconnect itself most of the way through installing the 2nd line of pasted code. After I turned it off and on again, and typed the individual "install" commands (they had thankfully finished building), the only one that ended up going through any extra progress bars was Torch, and that was to install "type-face setting" or something like that and another thing which had Torch in the name.
I kind of doubt this has anything to do with the "PIL" module, but there it is.

It's also worth noting that I had to use cmd to get even this far. Trying to open from Explorer didn't work even when I opened with Python 64-Bit.

Video tutorial on how to download

Originally posted by @eugene0396 in #6 (comment)

Error in Llvmlite pakage

When installing librosa everything is fine but llvmlite does not want to install
/storage/emulated/0 $ pip install librosa
Collecting librosa
Using cached librosa-0.8.0-py3-none-any.whl
Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (0.23.1)
Requirement already satisfied: scipy>=1.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.4.1)
Requirement already satisfied: joblib>=0.14 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (0.14.1)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Collecting audioread>=2.0.0
Using cached audioread-2.1.9-py3-none-any.whl
Collecting decorator>=3.0.0
Using cached decorator-4.4.2-py2.py3-none-any.whl (9.2 kB)
Collecting numba>=0.43.0
Using cached numba-0.51.2-cp38-cp38-linux_aarch64.whl
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Requirement already satisfied: setuptools in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from numba>=0.43.0->librosa) (46.4.0)
Collecting llvmlite<0.35,>=0.34.0.dev0
Using cached llvmlite-0.34.0.tar.gz (107 kB)
Collecting pooch>=1.0
Using cached pooch-1.3.0-py3-none-any.whl (51 kB)
Collecting appdirs
Using cached appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)
Collecting packaging
Using cached packaging-20.7-py2.py3-none-any.whl (35 kB)
Requirement already satisfied: pyparsing>=2.0.2 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from packaging->pooch>=1.0->librosa) (2.4.7)
Collecting requests
Using cached requests-2.25.0-py2.py3-none-any.whl (61 kB)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from requests->pooch>=1.0->librosa) (1.26.2)
Collecting certifi>=2017.4.17
Using cached certifi-2020.11.8-py2.py3-none-any.whl (155 kB)
Collecting chardet<4,>=3.0.2
Using cached chardet-3.0.4-py2.py3-none-any.whl (133 kB)
Collecting idna<3,>=2.5
Using cached idna-2.10-py2.py3-none-any.whl (58 kB)
Collecting resampy>=0.2.2
Using cached resampy-0.2.2-py3-none-any.whl
Requirement already satisfied: scipy>=1.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.4.1)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Requirement already satisfied: six>=1.3 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from resampy>=0.2.2->librosa) (1.15.0)
Requirement already satisfied: joblib>=0.14 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (0.14.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa) (2.1.0)Requirement already satisfied: scipy>=1.0.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.4.1)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Requirement already satisfied: numpy>=1.15.0 in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from librosa) (1.19.3)
Collecting soundfile>=0.9.0
Using cached SoundFile-0.10.3.post1-py2.py3-none-any.whl (21 kB)
Collecting cffi>=1.0
Using cached cffi-1.14.4-cp38-cp38-linux_aarch64.whl
Requirement already satisfied: pycparser in /data/data/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/site-packages (from cffi>=1.0->soundfile>=0.9.0->librosa) (2.20)
Building wheels for collected packages: llvmlite Building wheel for llvmlite (setup.py) ... error
ERROR: Command errored out with exit status 1: command: /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"'; file='"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' bdist_wheel -d /data/data/ru.iiec.pydroid3/cache/pip-wheel-28q1s35c
cwd: /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/
Complete output (26 lines):
running bdist_wheel
/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 105, in main_posix
out = subprocess.check_output([llvm_config, '--version'])
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 411, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 489, in run
with Popen(*popenargs, **kwargs) as process:
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 856, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 1728, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 191, in
main()
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 181, in main
main_posix('linux', '.so')
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 107, in main_posix
raise RuntimeError("%s failed executing, please point LLVM_CONFIG "
RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config
error: command '/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8' failed with exit status 1

ERROR: Failed building wheel for llvmlite
Running setup.py clean for llvmlite
Failed to build llvmlite
Installing collected packages: llvmlite, idna, chardet, certifi, requests, packaging, numba, cffi, appdirs, soundfile, resampy, pooch, decorator, audioread, librosa
Running setup.py install for llvmlite ... error
ERROR: Command errored out with exit status 1:
command: /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"'; file='"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /data/data/ru.iiec.pydroid3/cache/pip-record-cz61w2b5/install-record.txt --single-version-externally-managed --compile --install-headers /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/include/python3.8/llvmlite
cwd: /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/
Complete output (29 lines):
running install
running build
got version from file /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/llvmlite/version.py {'version': '0.34.0', 'full': 'c5889c9e98c6b19d5d85ebdd982d64a03931f8e2'}
running build_ext
/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 /data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 105, in main_posix
out = subprocess.check_output([llvm_config, '--version'])
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 411, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 489, in run
with Popen(*popenargs, **kwargs) as process:
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 856, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/lib/python3.8/subprocess.py", line 1728, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 191, in <module>
    main()
  File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 181, in main
    main_posix('linux', '.so')
  File "/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/ffi/build.py", line 107, in main_posix
    raise RuntimeError("%s failed executing, please point LLVM_CONFIG "
RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config
error: command '/data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8' failed with exit status 1
----------------------------------------

ERROR: Command errored out with exit status 1: /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"'; file='"'"'/data/data/ru.iiec.pydroid3/cache/pip-install-w4wa3mx_/llvmlite_5a26a0668de8430cbbbcf30a7d29e94d/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /data/data/ru.iiec.pydroid3/cache/pip-record-cz61w2b5/install-record.txt --single-version-externally-managed --compile --install-headers /data/user/0/ru.iiec.pydroid3/files/aarch64-linux-android/include/python3.8/llvmlite Check the logs for full command output.

Change options design

I think that the options that let you insert numbers have their "boxes" too close to the check options and this might confuse at first.
A solution is to move those boxes to the right of the options but by doing this the options texts are too close the the other check options so I suggest to

Enclose the check options and the number options in separate rectangles
Move the number options more to the right

Change folder naming convention

Change folder name in both v2 and v4 from 'Instrumental Models' to 'Main Models', until the vocal models get trained up enough.

Originally posted by @Anjok07 in #19 (comment)

i added baseline model to the model's directory and i'm getting this error

Exception in thread Thread-5:
Traceback (most recent call last):
File "D:\python37\lib\threading.py", line 917, in _bootstrap_inner
self.run()
File "D:\python37\lib\threading.py", line 865, in run
self._target(*self._args, **self._kwargs)
File "D:\ultimatevocalremovergui-master\inference.py", line 152, in main
model, device = load_model()
File "D:\ultimatevocalremovergui-master\inference.py", line 40, in load_model
model.load_state_dict(torch.load(args.model, map_location=device))
File "D:\python37\lib\site-packages\torch\nn\modules\module.py", line 847, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for CascadedASPPNet:
Missing key(s) in state_dict: "low_band_net.enc1.conv1.conv.0.weight", "low_band_net.enc1.conv1.conv.1.weight", "low_band_net.enc1.conv1.conv.1.bias", "low_band_net.enc1.conv1.conv.1.running_mean", "low_band_net.enc1.conv1.conv.1.running_var", "low_band_net.enc1.conv2.conv.0.weight", "low_band_net.enc1.conv2.conv.1.weight", "low_band_net.enc1.conv2.conv.1.bias", "low_band_net.enc1.conv2.conv.1.running_mean", "low_band_net.enc1.conv2.conv.1.running_var", "low_band_net.enc2.conv1.conv.0.weight", "low_band_net.enc2.conv1.conv.1.weight", "low_band_net.enc2.conv1.conv.1.bias", "low_band_net.enc2.conv1.conv.1.running_mean", "low_band_net.enc2.conv1.conv.1.running_var", "low_band_net.enc2.conv2.conv.0.weight", "low_band_net.enc2.conv2.conv.1.weight", "low_band_net.enc2.conv2.conv.1.bias", "low_band_net.enc2.conv2.conv.1.running_mean", "low_band_net.enc2.conv2.conv.1.running_var", "low_band_net.enc3.conv1.conv.0.weight", "low_band_net.enc3.conv1.conv.1.weight", "low_band_net.enc3.conv1.conv.1.bias", "low_band_net.enc3.conv1.conv.1.running_mean", "low_band_net.enc3.conv1.conv.1.running_var", "low_band_net.enc3.conv2.conv.0.weight", "low_band_net.enc3.conv2.conv.1.weight", "low_band_net.enc3.conv2.conv.1.bias", "low_band_net.enc3.conv2.conv.1.running_mean", "low_band_net.enc3.conv2.conv.1.running_var", "low_band_net.enc4.conv1.conv.0.weight", "low_band_net.enc4.conv1.conv.1.weight", "low_band_net.enc4.conv1.conv.1.bias", "low_band_net.enc4.conv1.conv.1.running_mean", "low_band_net.enc4.conv1.conv.1.running_var", "low_band_net.enc4.conv2.conv.0.weight", "low_band_net.enc4.conv2.conv.1.weight", "low_band_net.enc4.conv2.conv.1.bias", "low_band_net.enc4.conv2.conv.1.running_mean", "low_band_net.enc4.conv2.conv.1.running_var", "low_band_net.aspp.conv1.1.conv.0.weight", "low_band_net.aspp.conv1.1.conv.1.weight", "low_band_net.aspp.conv1.1.conv.1.bias", "low_band_net.aspp.conv1.1.conv.1.running_mean", "low_band_net.aspp.conv1.1.conv.1.running_var", "low_band_net.aspp.conv2.conv.0.weight", "low_band_net.aspp.conv2.conv.1.weight", "low_band_net.aspp.conv2.conv.1.bias", "low_band_net.aspp.conv2.conv.1.running_mean", "low_band_net.aspp.conv2.conv.1.running_var", "low_band_net.aspp.conv3.conv.0.weight", "low_band_net.aspp.conv3.conv.1.weight", "low_band_net.aspp.conv3.conv.2.weight", "low_band_net.aspp.conv3.conv.2.bias", "low_band_net.aspp.conv3.conv.2.running_mean", "low_band_net.aspp.conv3.conv.2.running_var", "low_band_net.aspp.conv4.conv.0.weight", "low_band_net.aspp.conv4.conv.1.weight", "low_band_net.aspp.conv4.conv.2.weight", "low_band_net.aspp.conv4.conv.2.bias", "low_band_net.aspp.conv4.conv.2.running_mean", "low_band_net.aspp.conv4.conv.2.running_var", "low_band_net.aspp.conv5.conv.0.weight", "low_band_net.aspp.conv5.conv.1.weight", "low_band_net.aspp.conv5.conv.2.weight", "low_band_net.aspp.conv5.conv.2.bias", "low_band_net.aspp.conv5.conv.2.running_mean", "low_band_net.aspp.conv5.conv.2.running_var", "low_band_net.aspp.bottleneck.0.conv.0.weight", "low_band_net.aspp.bottleneck.0.conv.1.weight", "low_band_net.aspp.bottleneck.0.conv.1.bias", "low_band_net.aspp.bottleneck.0.conv.1.running_mean", "low_band_net.aspp.bottleneck.0.conv.1.running_var", "low_band_net.dec4.conv.conv.0.weight", "low_band_net.dec4.conv.conv.1.weight", "low_band_net.dec4.conv.conv.1.bias", "low_band_net.dec4.conv.conv.1.running_mean", "low_band_net.dec4.conv.conv.1.running_var", "low_band_net.dec3.conv.conv.0.weight", "low_band_net.dec3.conv.conv.1.weight", "low_band_net.dec3.conv.conv.1.bias", "low_band_net.dec3.conv.conv.1.running_mean", "low_band_net.dec3.conv.conv.1.running_var", "low_band_net.dec2.conv.conv.0.weight", "low_band_net.dec2.conv.conv.1.weight", "low_band_net.dec2.conv.conv.1.bias", "low_band_net.dec2.conv.conv.1.running_mean", "low_band_net.dec2.conv.conv.1.running_var", "low_band_net.dec1.conv.conv.0.weight", "low_band_net.dec1.conv.conv.1.weight", "low_band_net.dec1.conv.conv.1.bias", "low_band_net.dec1.conv.conv.1.running_mean", "low_band_net.dec1.conv.conv.1.running_var", "high_band_net.enc1.conv1.conv.0.weight", "high_band_net.enc1.conv1.conv.1.weight", "high_band_net.enc1.conv1.conv.1.bias", "high_band_net.enc1.conv1.conv.1.running_mean", "high_band_net.enc1.conv1.conv.1.running_var", "high_band_net.enc1.conv2.conv.0.weight", "high_band_net.enc1.conv2.conv.1.weight", "high_band_net.enc1.conv2.conv.1.bias", "high_band_net.enc1.conv2.conv.1.running_mean", "high_band_net.enc1.conv2.conv.1.running_var", "high_band_net.enc2.conv1.conv.0.weight", "high_band_net.enc2.conv1.conv.1.weight", "high_band_net.enc2.conv1.conv.1.bias", "high_band_net.enc2.conv1.conv.1.running_mean", "high_band_net.enc2.conv1.conv.1.running_var", "high_band_net.enc2.conv2.conv.0.weight", "high_band_net.enc2.conv2.conv.1.weight", "high_band_net.enc2.conv2.conv.1.bias", "high_band_net.enc2.conv2.conv.1.running_mean", "high_band_net.enc2.conv2.conv.1.running_var", "high_band_net.enc3.conv1.conv.0.weight", "high_band_net.enc3.conv1.conv.1.weight", "high_band_net.enc3.conv1.conv.1.bias", "high_band_net.enc3.conv1.conv.1.running_mean", "high_band_net.enc3.conv1.conv.1.running_var", "high_band_net.enc3.conv2.conv.0.weight", "high_band_net.enc3.conv2.conv.1.weight", "high_band_net.enc3.conv2.conv.1.bias", "high_band_net.enc3.conv2.conv.1.running_mean", "high_band_net.enc3.conv2.conv.1.running_var", "high_band_net.enc4.conv1.conv.0.weight", "high_band_net.enc4.conv1.conv.1.weight", "high_band_net.enc4.conv1.conv.1.bias", "high_band_net.enc4.conv1.conv.1.running_mean", "high_band_net.enc4.conv1.conv.1.running_var", "high_band_net.enc4.conv2.conv.0.weight", "high_band_net.enc4.conv2.conv.1.weight", "high_band_net.enc4.conv2.conv.1.bias", "high_band_net.enc4.conv2.conv.1.running_mean", "high_band_net.enc4.conv2.conv.1.running_var", "high_band_net.aspp.conv1.1.conv.0.weight", "high_band_net.aspp.conv1.1.conv.1.weight", 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"stg3_full_band_net.dec2.conv.conv.1.weight", "stg3_full_band_net.dec2.conv.conv.1.bias", "stg3_full_band_net.dec2.conv.conv.1.running_mean", "stg3_full_band_net.dec2.conv.conv.1.running_var", "stg3_full_band_net.dec2.conv.conv.1.num_batches_tracked", "stg3_full_band_net.dec1.conv.conv.0.weight", "stg3_full_band_net.dec1.conv.conv.1.weight", "stg3_full_band_net.dec1.conv.conv.1.bias", "stg3_full_band_net.dec1.conv.conv.1.running_mean", "stg3_full_band_net.dec1.conv.conv.1.running_var", "stg3_full_band_net.dec1.conv.conv.1.num_batches_tracked", "aux1_out.weight", "aux2_out.weight", "out.weight".

The path is truncated when dragging

Describe the bug

In some cases, the path is truncated when dragging.

To Reproduce

Steps to reproduce the behavior:

I put the program in C:\Soft\ultimatevocalremovergui-master
And named the file as my_favourite_game.mp3
I drag it to the window.
See error

Screenshots

Desktop

OS: Windows 10
Python: 3.7.4

Unable to select the main model [Mac OS]

I can't select the main model on the "Choose Main Model" field. It doesn't open any options that I can click.
I get this error on the command line:

Exception in Tkinter callback
Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.7/tkinter/init.py", line 1705, in call
return self.func(*args)
File "VocalRemover.py", line 620, in open_newModel_filedialog
os.startfile(models)
AttributeError: module 'os' has no attribute 'startfile'

Getting OSError: [WinError 123] The filename, directory name, or volume label syntax is incorrect: ''

After I install all the correct itemes,
I open a powershell to the ultimatevocalremovergui-2.2.0-GUI-Mod
Type in

python VocalRemover.py

and I get this

Traceback (most recent call last):
File "VocalRemover.py", line 27, in
os.chdir(base_path) # Change the current working directory to the base path
OSError: [WinError 123] The filename, directory name, or volume label syntax is incorrect: ''

Output file names swapped on vocal models.

When using models MGM-v5-Vocal_2Band-32000-BETA1 and MGM-v5-Vocal_2Band-32000-BETA2 the outputted WAV file names are swapped, being the instruments labeled as vocals and vice-versa.

Where to download other models?

other ones made by people that people trained

Problem with opening the PY

I did all that was meant to be done in order to open the file, but when I click at Vocalremover.py it only opens a blank CMD. I am new to it all.

C:\UVR-V4GUI>python VocalRemover.py
Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.
It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe
Traceback (most recent call last):
File "VocalRemover.py", line 24, in
import inference_v2
File "C:\UVR-V4GUI\inference_v2.py", line 10, in
from lib_v2 import dataset
File "C:\UVR-V4GUI\lib_v2\dataset.py", line 4, in
import torch
File "C:\Users\name\AppData\Local\Programs\Python\Python37\lib\site-packages\torch_init_.py", line 127, in
raise err
OSError: [WinError 126] Nie można odnaleźć określonego modułu. Error loading "C:\Users\name\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\lib\asmjit.dll" or one of its dependencies.

ImportError: numpy.core.multiarray failed to import

When attempting to open the GUI I receive an error;

C:\Other\Ultimate Vocal Remover>vocalremover.py
 ** On entry to DGEBAL parameter number  3 had an illegal value
 ** On entry to DGEHRD  parameter number  2 had an illegal value
 ** On entry to DORGHR DORGQR parameter number  2 had an illegal value
 ** On entry to DHSEQR parameter number  4 had an illegal value
ImportError: numpy.core.multiarray failed to import
Traceback (most recent call last):
  File "C:\Other\Ultimate Vocal Remover\VocalRemover.py", line 24, in <module>
    import inference_v2
  File "C:\Other\Ultimate Vocal Remover\inference_v2.py", line 4, in <module>
    import cv2
  File "C:\Users\Username\AppData\Local\Programs\Python\Python37\lib\site-packages\cv2\__init__.py", line 5, in <module>
    from .cv2 import *
ImportError: numpy.core.multiarray failed to import

Running Python 3.7.0 and have all the required applications and packages listed in the readme installed.

[Ubuntu] Can't start the program

Describe the bug
Invalid syntax in the code

To Reproduce
Steps to reproduce the behavior:

Go to folder where the program is located
Open terminal
Type "python VocalRemover.py"
Expected behavior
Starting of the program

Screenshots

Desktop (please complete the following information):

OS: [Zorin (Ubuntu)]
Browser [Firefox]
Version [84.0]

Additional context
Terminal indicates the two points as error

Final Version Of BVKARAOKE Model

please train a final version of BVKARAOKE Model if possible

bug in conversion

after i click to start the conversion, the program freezes, and it stays like this forever.

Visual Curly Braces Visual Fix

Originally posted by @ManOrMonster in #19 (comment)

I can't open the program

File "VocalRemover.py", line 64
def open_image(path: str, size: tuple = None, keep_aspect: bool = True, rotate: int = 0) -> ImageTk.PhotoImage:
^
SyntaxError: invalid syntax

Traceback Error

No module named "cv2"

The GUI closes itself the moment I open it, so I ran it with CMD. I'm getting this error

https://i.imgur.com/EQ8jbIf.png

I have Python 3.7 added to path and everything from the requirements installed into the GUI folder.

Separation results have different duration than original.

Hello, I spotted this problem in audacity, regardless of used settings results are shorter at the end by 200 to 500 samples.

Extremely slow to convert

Describe the bug
Why does It takes aprox 20 min to convert a single flac file

To Reproduce
Steps to reproduce the behavior:

Go to '...'
Click on '....'
Scroll down to '....'
See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

OS: [e.g. iOS]
Browser [e.g. chrome, safari]
Version [e.g. 22]

Smartphone (please complete the following information):

Device: [e.g. iPhone6]
OS: [e.g. iOS8.1]
Browser [e.g. stock browser, safari]
Version [e.g. 22]

Additional context
Add any other context about the problem here.

Funny bug in Multi-Genre Model

Your new model is great! Compared to stock, this is progress. But I found one problematic song - "Gorillaz - Feel Good Inc.". In the instrumental, the bass disappears completely from 37 to 44 sec. Demo.

I don't know if you used this song in your dataset, but when I did, I got the same weird result. For this reason, I removed it from my dataset and I advise you not to use this track either.

How do I use your multi-genre model in google colab

I tried it by replacing baseline.pth to multigenre.pth (I renamed it to baseline.pth)
whenever I start loading model, this error comes

loading model... Traceback (most recent call last):
File "inference.py", line 119, in
main()
File "inference.py", line 65, in main
model.load_state_dict(torch.load(args.pretrained_model, map_location=device))
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 1045, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for CascadedASPPNet:
Missing key(s) in state_dict: "stg1_low_band_net.enc1.conv1.conv.0.weight", "stg1_low_band_net.enc1.conv1.conv.1.weight", "stg1_low_band_net.enc1.conv1.conv.1.bias", "stg1_low_band_net.enc1.conv1.conv.1.running_mean", "stg1_low_band_net.enc1.conv1.conv.1.running_var", "stg1_low_band_net.enc1.conv2.conv.0.weight", "stg1_low_band_net.enc1.conv2.conv.1.weight", "stg1_low_band_net.enc1.conv2.conv.1.bias", "stg1_low_band_net.enc1.conv2.conv.1.running_mean", "stg1_low_band_net.enc1.conv2.conv.1.running_var", "stg1_low_band_net.enc2.conv1.conv.0.weight", "stg1_low_band_net.enc2.conv1.conv.1.weight", "stg1_low_band_net.enc2.conv1.conv.1.bias", "stg1_low_band_net.enc2.conv1.conv.1.running_mean", "stg1_low_band_net.enc2.conv1.conv.1.running_var", "stg1_low_band_net.enc2.conv2.conv.0.weight", "stg1_low_band_net.enc2.conv2.conv.1.weight", "stg1_low_band_net.enc2.conv2.conv.1.bias", "stg1_low_band_net.enc2.conv2.conv.1.running_mean", "stg1_low_band_net.enc2.conv2.conv.1.running_var", "stg1_low_band_net.enc3.conv1.conv.0.weight", "stg1_low_band_net.enc3.conv1.conv.1.weight", "stg1_low_band_net.enc3.conv1.conv.1.bias", "stg1_low_band_net.enc3.conv1.conv.1.running_mean", "stg1_low_band_net.enc3.conv1.conv.1.running_var", "stg1_low_band_net.enc3.conv2.conv.0.weight", "stg1_low_band_net.enc3.conv2.conv.1.weight", "stg1_low_band_net.enc3.conv2.conv.1.bias", "stg1_low_band_net.enc3.conv2.conv.1.running_mean", "stg1_low_band_net.enc3.conv2.conv.1.running_var", "stg1_low_band_net.enc4.conv1.conv.0.weight", "stg1_low_band_net.enc4.conv1.conv.1.weight", "stg1_low_band_net.enc4.conv1.conv.1.bias", "stg1_low_band_net.enc4.conv1.conv.1.running_mean", "stg1_low_band_net.enc4.conv1.conv.1.running_var", "stg1_low_band_net.enc4.conv2.conv.0.weight", "stg1_low_band_net.enc4.conv2.conv.1.weight", "stg1_low_band_net.enc4.conv2.conv.1.bias", "stg1_low_band_net.enc4.conv2.conv.1.running_mean", "stg1_low_band_net.enc4.conv2.conv.1.running_var", "stg1_low_band_net.aspp.conv1.1.conv.0.weight", "stg1_low_band_net.aspp.conv1.1.conv.1.weight", "stg1_low_band_net.aspp.conv1.1.conv.1.bias", "stg1_low_band_net.aspp.conv1.1.conv.1.running_mean", "stg1_low_band_net.aspp.conv1.1.conv.1.running_var", "stg1_low_band_net.aspp.conv2.conv.0.weight", "stg1_low_band_net.aspp.conv2.conv.1.weight", "stg1_low_band_net.aspp.conv2.conv.1.bias", "stg1_low_band_net.aspp.conv2.conv.1.running_mean", "stg1_low_band_net.aspp.conv2.conv.1.running_var", "stg1_low_band_net.aspp.conv3.conv.0.weight", "stg1_low_band_net.aspp.conv3.conv.1.weight", "stg1_low_band_net.aspp.conv3.conv.2.weight", "stg1_low_band_net.aspp.conv3.conv.2.bias", "stg1_low_band_net.aspp.conv3.conv.2.running_mean", "stg1_low_band_net.aspp.conv3.conv.2.running_var", "stg1_low_band_net.aspp.conv4.conv.0.weight", "stg1_low_band_net.aspp.conv4.conv.1.weight", "stg1_low_band_net.aspp.conv4.conv.2.weight", "stg1_low_band_net.aspp.conv4.conv.2.bias", 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anjok07 / ultimatevocalremovergui Goto Github PK

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Ultimate Vocal Remover GUI v5.6

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