Can't do jetson import in python

pray0908 · February 2, 2023, 12:34am

Err

I installed VSC, Python 3, and jetpack on the Jetson Nano.

When jetson is imported from VSC, underlines appear as in the attached picture.

Which library should I install?

AastaLLL · February 3, 2023, 2:34am

Hi,

Please find the installation guide below:

github.com

dusty-nv/jetson-inference/blob/master/docs/building-repo-2.md#python-development-packages

<img src="https://github.com/dusty-nv/jetson-inference/raw/master/docs/images/deep-vision-header.jpg" width="100%">
<p align="right"><sup><a href="aux-docker.md">Back</a> | <a href="imagenet-console-2.md">Next</a> | </sup><a href="../README.md#hello-ai-world"><sup>Contents</sup></a>
<br/>
<sup>System Setup</sup></p>   

# Building the Project from Source

Provided with the repo is a library of TensorRT-accelerated deep learning networks for image recognition, object detection with localization (i.e. bounding boxes), and semantic segmentation.  This inferencing library (`libjetson-inference`) is intended to be run on the Jetson, and includes support for both C++ and Python.  Various pre-trained DNN models are automatically downloaded to get you up and running quickly.

The latest source code or [Docker container](aux-docker.md) can be used onboard your Jetson once your device has been [flashed with JetPack](jetpack-setup-2.md) or setup with the pre-populated [SD card image](https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit#write).  You can run the pre-built [Docker container](aux-docker.md) without needing to compile the project or install PyTorch yourself.

### Quick Reference

If you aren't using the [Docker container](aux-docker.md), here's a condensed form of the commands to build/install the project directly on your Jetson:

``` bash
$ sudo apt-get update
$ sudo apt-get install git cmake libpython3-dev python3-numpy
$ git clone --recursive https://github.com/dusty-nv/jetson-inference
$ cd jetson-inference

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Thanks.

system · February 22, 2023, 1:17am

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