JeffreyCA
`Not Found: /media/uploads/d95c0f2e-1507-4139-ad6e-494d1314558a/lizzi.mp3`
2024-05-01 02:23:44,240 [django.request][WARNING]: Not Found: /media/uploads/d95c0f2e-1507-4139-ad6e-494d1314558a/lizzi.mp3
[01/May/2024 02:23:44] "GET /media/uploads/d95c0f2e-1507-4139-ad6e-494d1314558a/lizzi.mp3 HTTP/1.1" 404 179
[01/May/2024 02:23:47] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:23:59] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:24:11] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:24:23] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:24:34] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:24:46] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:24:58] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:25:10] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:25:22] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:25:34] "GET /api/source-track/ HTTP/1.1" 200 293
^[[A^[[A^[[A^[[A^[[A[01/May/2024 02:26:11] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:26:23] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:26:35] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:26:47] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:26:59] "GET /api/source-track/ HTTP/1.1" 200 293
^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A^[[A[01/May/2024 02:30:42] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:38:13] "GET / HTTP/1.1" 200 584
[01/May/2024 02:38:14] "GET /api/source-track/ HTTP/1.1" 200 293
2024-05-01 02:38:19,235 [django.request][WARNING]: Not Found: /media/uploads/d95c0f2e-1507-4139-ad6e-494d1314558a/lizzi.mp3
[01/May/2024 02:38:19] "GET /media/uploads/d95c0f2e-1507-4139-ad6e-494d1314558a/lizzi.mp3 HTTP/1.1" 404 179
[01/May/2024 02:38:25] "GET /api/source-track/ HTTP/1.1" 200 293
[01/May/2024 02:38:30] "POST /api/mix/dynamic/ HTTP/1.1" 201 430
[01/May/2024 02:38:30] "GET /mixer/0bb1829e-65a5-46f4-b3b0-b707ad9eee50 HTTP/1.1" 301 0
I have uploaded the file on web:
I can't play music on web or separate any audio!!
Deploy via https://github.com/JeffreyCA/spleeter-web#getting-started-without-docker
Can you try setting
DEBUG = Trueindjango_react/settings.py?
After setting DEBUG = True, It worked!
But the processing time is very long, almost 5 minutes for Demucs v4 Fine-tuned and Demucs v4.
I found it not using GPUs during processing (the processes are others):
(cu118) (cu118) [bingo06@zernithos ~]$ nvidia-smi
Wed May 1 21:25:14 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.14 Driver Version: 550.54.14 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 2080 Ti Off | 00000000:1A:00.0 Off | N/A |
| 27% 34C P8 5W / 250W | 414MiB / 11264MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 NVIDIA GeForce RTX 4090 Off | 00000000:68:00.0 Off | Off |
| 0% 38C P8 4W / 450W | 5427MiB / 24564MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1798 C python3 154MiB |
| 0 N/A N/A 939429 C python 256MiB |
| 1 N/A N/A 1798 C python3 4930MiB |
| 1 N/A N/A 939429 C python 486MiB |
+-----------------------------------------------------------------------------------------+
How to set CUDA device?
GPU separation isn't officially supported on non-Docker setups - I would consider using Docker
Can you try setting the environment variable CPU_SEPARATION=0?
If that doesn't work, try installing these Python dependencies:
pip install torch==1.13.1+cu116 torchaudio==0.13.1+cu116 -f https://download.pytorch.org/whl/torch_stable.html
GPU separation isn't officially supported on non-Docker setups - I would consider using Docker
Can you try setting the environment variable
CPU_SEPARATION=0? If that doesn't work, try installing these Python dependencies:pip install torch==1.13.1+cu116 torchaudio==0.13.1+cu116 -f https://download.pytorch.org/whl/torch_stable.html
Still not using GPU. Does it use the following code after running python manage.py collectstatic && python manage.py runserver 127.0.0.1:8000
It should, but it's the Celery worker that needs to be restarted:
celery -A api worker -l INFO -Q slow_queue -c 1
What if you manually change that line of code to self.device = 'cuda'?
It should, but it's the Celery worker that needs to be restarted:
celery -A api worker -l INFO -Q slow_queue -c 1What if you manually change that line of code to
self.device = 'cuda'?
After restarting this process celery -A api worker -l INFO -Q slow_queue -c 1, it successfully called GPU! I can get fast segmentation now!
But i have another problem, how to make this label display completely as 'Accompaniment'?
Great! You can change the text here:
https://github.com/JeffreyCA/spleeter-web/blob/9dd9007576a728768d175b1eb97ae2725281f384/frontend/src/components/Badges.tsx#L45-L52
I just simply changed the part to this:
export const AccompShortBadge = (props: BadgeProps): JSX.Element => {
const { faded, title } = props;
return (
<Badge pill className={props.className} variant={faded ? 'accomp-faded' : 'accomp'} title={title}>
Accompaniment
</Badge>
);
};
And i got this display effect:
Obviously it doesn't looks good, how to make the label fit this text?
You can play around with the width here:
https://github.com/JeffreyCA/spleeter-web/blob/9dd9007576a728768d175b1eb97ae2725281f384/frontend/src/components/Mixer/VolumeUI.css#L53-L56