Another note if you use the Windows version of CodeProject.AI the ALPR module will also use your GPU and be faster.Yes Docker Desktop for windows. I've used the commands above, spun up a new container and I see YOLOv5 6.2 is using GPU. Should I still switch it to .NET?
What is shown in CP.AI is what the GPU driver will support up to the CUDA version, it is not the CUDA version that is installed, nvcc -- version show what CUDA version is installed. So you have CUDA 11.8 installed.I can't get the GPU to process plates. CPU works fine.
nvcc -- version says I have CUDA 11.8 installed. CP.AI info says I have 12.2 installed. Not sure if this is the problem
View attachment 169709View attachment 169710
If the script worked you should see the below files and directories.I ran the CuDNN install script from the their website. I think it installed correctly not sure. This is the folder after running
View attachment 169715
Download the current version of cudnn and replace all the files that are in the below folder with the files you just downloadedYes I have all those files in correct folder
I tried rebooting also, no change.
Does any of the modules work with the GPU?yes have tried enabling and disabling and enabling gpu.... no good
Try running the install_CUDnn.bat again. After running reboot so that the paths get updated.Maybe we are getting somewhere now...getting this:.
Microsoft Windows [Version 10.0.19045.3324]
(c) Microsoft Corporation. All rights reserved.
C:\Users\BlueIris>NVIDIA_SLA_cuDNN_Support.txt
'NVIDIA_SLA_cuDNN_Support.txt' is not recognized as an internal or external command,
operable program or batch file.
C:\Users\BlueIris>