https://bugs.kde.org/show_bug.cgi?id=525042

--- Comment #10 from [email protected] ---
Hello

I realized I was using a NVIDIA GEFORCE RTX 2080 SUPER, so I followed the
documentation :

For NVIDIA GPU users (e.g., GeForce RTX 2070 Super, RTX 3060 Ti, etc.),
additional steps are required to ensure successful GPU detection by
OpenCV’s AI backend. The NVIDIA Cuda SDKs
<https://en.wikipedia.org/wiki/CUDA> must be installed on your system:
1. Install the NVIDIA CUDA Toolkit from the official NVIDIA website
<https://developer.nvidia.com/cuda/toolkit>. Select a Custom installation
and choose only the components CUDA/Runtime/Libraries/OPENCL and
CUDA/Runtime/Libraries/CUBLAS.
*=> INSTALLED*2. Install the cuDNN Library from the official NVIDIA website
<https://developer.nvidia.com/cudnn>. Select a Custom installation and
choose only cuDNN for CUDA/Runtime.
*=> INSTALLED*3. Set the `OPENCV_OPENCL_DEVICE` system environment variable
to `NVIDIA:GPU:0`. Under Windows, this can be done with the System Control
Panel <https://www.computerhope.com/issues/ch000549.htm>.
*=> ADDED*After completing these steps, restart digiKam and rerun the
compatibility test in the *Setup > Miscellaneous > System* dialog.
[image: image.png]


Here is the result of the test :

D*émarrage du test « OpenCV OpenCL DNN »…*

*Vérification en cours de la compatibilité de l'accélération matérielle
avec le processeur graphique (GPU) pour OpenCL avec les modèles d'IA…*

*Erreur : OpenCL est indisponible sur votre système.*


*Test failed. Your system may not be able to use GPU acceleration for the
AI models.*


What else ?

Philippe Bezard-Falgas


Le dim. 13 sept. 2026 à 19:17, <[email protected]> a écrit :

> https://bugs.kde.org/show_bug.cgi?id=525042
>
> --- Comment #9 from [email protected] ---
> No, the DNN files are too heavy and must be downloaded in a second stage.
> It's
> normally ask at first run.
>
>
> https://docs.digikam.org/en/setup_application/miscs_settings.html#system-settings
>
> Go to Setup Miscs System dialog page.
>
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