I would like to setup a dev environment for X86 setup using the Deepstream 7.1 docker image deepstream:7.1-gc-triton-devel
Server (no monitor)
Ubuntu 22.04 LTS
Cuda 12.6
Docker and nvidia container ok
VS code remote with SSH ok
I’m looking for a set of clear instructions in order to
1 - run example apps
2 - profile the example with NSIGHT
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) • DeepStream Version • JetPack Version (valid for Jetson only) • TensorRT Version • NVIDIA GPU Driver Version (valid for GPU only) • Issue Type( questions, new requirements, bugs) • How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing) • Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
docker run --gpus all -it --rm --net=host --privileged -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-7.1 nvcr.io/nvidia/deepstream:7.1-gc-triton-devel
cd /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-test1
# If you don't have a monitor connected, change nveglglessink to fakesink and recompile
./deepstream-test1-app /opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.h264
Are you running ./deepstream-test1-app /opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.h264 in the directory /opt/nvidia/deepstream/deepstream-7.1/sources/apps/sample_apps/deepstream-test1?
If you just run the deepstream-test1-app in the system directory, the modification will not take any effect. You need to run the modified binary