How do I run the DeepStream sample on my PC? Is this because I’m using an old desktop GPU? If that’s the case please suggest to me a Desktop/Laptop GPU support DeepStream?
$ dpkg -l|grep nvidia
ii libnvidia-cfg1-470:amd64 470.57.02-0ubuntu1 amd64 NVIDIA binary OpenGL/GLX configuration library
ii libnvidia-common-470 470.57.02-0ubuntu1 all Shared files used by the NVIDIA libraries
ii libnvidia-compute-470:amd64 470.57.02-0ubuntu1 amd64 NVIDIA libcompute package
ii libnvidia-decode-470:amd64 470.57.02-0ubuntu1 amd64 NVIDIA Video Decoding runtime libraries
ii libnvidia-encode-470:amd64 470.57.02-0ubuntu1 amd64 NVENC Video Encoding runtime library
ii libnvidia-extra-470:amd64 470.57.02-0ubuntu1 amd64 Extra libraries for the NVIDIA driver
ii libnvidia-fbc1-470:amd64 470.57.02-0ubuntu1 amd64 NVIDIA OpenGL-based Framebuffer Capture runtime library
ii libnvidia-gl-470:amd64 470.57.02-0ubuntu1 amd64 NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD
ii libnvidia-ifr1-470:amd64 470.57.02-0ubuntu1 amd64 NVIDIA OpenGL-based Inband Frame Readback runtime library
ii nvidia-compute-utils-470 470.57.02-0ubuntu1 amd64 NVIDIA compute utilities
ii nvidia-dkms-470 470.57.02-0ubuntu1 amd64 NVIDIA DKMS package
ii nvidia-driver-470 470.57.02-0ubuntu1 amd64 NVIDIA driver metapackage
ii nvidia-kernel-common-470 470.57.02-0ubuntu1 amd64 Shared files used with the kernel module
ii nvidia-kernel-source-470 470.57.02-0ubuntu1 amd64 NVIDIA kernel source package
ii nvidia-modprobe 495.29.05-0ubuntu1 amd64 Load the NVIDIA kernel driver and create device files
ii nvidia-prime 0.8.16~0.18.04.1 all Tools to enable NVIDIA's Prime
ii nvidia-settings 495.29.05-0ubuntu1 amd64 Tool for configuring the NVIDIA graphics driver
ii nvidia-utils-470 470.57.02-0ubuntu1 amd64 NVIDIA driver support binaries
ii xserver-xorg-video-nvidia-470 470.57.02-0ubuntu1 amd64 NVIDIA binary Xorg driver
You need to export display firstly if run from remote terminal.
export DISPLAY=:1 or 0 //xrandr to check if display export or not.
or run from desktop directly.
So I been playing around with insane number of combinations and was able to make it work.
I was just checking my notes:
All the versions are changed from trt 8.0.1 to 8.2.1 and Cuda from 11.3 to 11.4
I am not 100% sure but since you already got the CUDA 11.4 I think you will need TensorRT 8.2.1
or downgrade CUDA.