After deploying the l4t container, I found that NVIDIA’s header file library files are missing when developing on it. How should I install these libraries?
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)
• The pipeline being used
I don’t know what headers and libraries you want, nor what versions you use.
Please describe your problem in detail
When I compiled my project, I found that related files such as NvInfer.h and cuda_runtime_api.h did not
This is my host environment, I need to build my deepstream application in the Deepstream-l4t container
Distribution： ubuntu 20.04 focal
Python ： 3.8.10
CUDA：11.4.315
cuDNN ：8.6.0.166
TensorRT ：8.5.2.2
VPI：2.2.7
OpenCV：4.5.4
Model：NVIDIA Orin NX Developer Kit
Module：NVIDIA Jetson Oriin NX(16GB ram)
Jetpack：5.1.1
DeepStream: 6.2
Do you use nvcr.io/nvidia/deepstream-l4t:6.2-iot this images ?
If you want build your deepstream application
It is recommended to use the image of nvcr.io/nvidia/deepstream-l4t:6.2-triton
Here are their differences.
nvcr.io/nvidia/deepstream-l4t:6.2-iot just for deployment
You can also copy header files from host to docker.
I am using the image Deepstream-l4t-samples.
But I use the image of iot and there is no relevant header file
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