Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

app is really slow even upgrade to nvida 4080 #620

Open
prinzcala opened this issue Sep 22, 2024 · 5 comments
Open

app is really slow even upgrade to nvida 4080 #620

prinzcala opened this issue Sep 22, 2024 · 5 comments

Comments

@prinzcala
Copy link

i thought it was my pc bcos it has graphic card of 2060. i bought new pc with graphic card of rtx 4080 with 32gb ram. after i run it python run.py --execution-provider cuda, To my surprise it was still slow. Can anybody pls help me.

@MMbundles
Copy link

Set up your cuda environment with cudnn and add to path , I’m definitely sure that the cause and what’s your Vram? Because 32gb can just be your CPU RAM and not your VRam

@vignesh1507
Copy link

The issue you're experiencing is likely due to the fact that the code is not optimized for parallel processing, and the GPU is not being utilized efficiently.

Check the CUDA version: Make sure that the CUDA version installed on your system is compatible with the insightface library. You can check the CUDA version by running nvcc --version in your terminal.

@Updatedme
Copy link

i thought it was my pc bcos it has graphic card of 2060. i bought new pc with graphic card of rtx 4080 with 32gb ram. after i run it python run.py --execution-provider cuda, To my surprise it was still slow. Can anybody pls help me.

This is simply caused by the cuda version installed incompatible with the Insightface.

If you dont know your way around this , here's my whatsapp
https://wa.me/message/GXQYWX4XRTXGB1 +2347081306010

Or you can just check for the cuda version and install the required

@GabriellaMS
Copy link

i thought it was my pc bcos it has graphic card of 2060. i bought new pc with graphic card of rtx 4080 with 32gb ram. after i run it python run.py --execution-provider cuda, To my surprise it was still slow. Can anybody pls help me.

This is simply caused by the cuda version installed incompatible with the Insightface.

If you dont know your way around this , here's my whatsapp https://wa.me/message/GXQYWX4XRTXGB1 +2347081306010

Or you can just check for the cuda version and install the required

My cuda version is 11.8. I installed it in the same environment as Readme. Why am I also slow? How to check the CUDA version corresponding to InsightFace?

@vipcafe
Copy link

vipcafe commented Nov 16, 2024

I am also facing a similar issue when enabling the FACE-ENHANCER mode—it runs very slowly, and the GPU usage is almost negligible.

image

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

6 participants