Hey I’m trying to use Open CV version 4.9.0 on my Jetson Orin AGX dev kit. Using the JTOP command I’m able to see that the Jetson is saying that OpenCV version 4.9.0 is compiled with CUDA support. I then try and use python command v2.cuda.getCudaEnabledDeviceCount() but python and opencv are not able to find a cuda enabled gpu. Is there any fix for this?
Hi,
Here are some suggestions for the common issues:
1. Performance
Please run the below command before benchmarking deep learning use case:
$ sudo nvpmodel -m 0
$ sudo jetson_clocks
2. Installation
Installation guide of deep learning frameworks on Jetson:
- TensorFlow: Installing TensorFlow for Jetson Platform - NVIDIA Docs
- PyTorch: Installing PyTorch for Jetson Platform - NVIDIA Docs
We also have containers that have frameworks preinstalled:
Data Science, Machine Learning, AI, HPC Containers | NVIDIA NGC
3. Tutorial
Startup deep learning tutorial:
- Jetson-inference: Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson
- TensorRT sample: Jetson/L4T/TRT Customized Example - eLinux.org
4. Report issue
If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally.
Thanks!
Hi,
Could you share the jtop information so we can know about your issue?
The default OpenCV in JetPack doesn’t build with CUDA support.
But you can install it manually by running the script below:
Thanks.
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