AttributeError: module 'jetson.inference' has no attribute 'segNet'

viswanath580 · August 15, 2020, 7:53am

While running semantic segmentation from jetson inference am getting below error. Can someone help me in solving this issue

AttributeError: module ‘jetson.inference’ has no attribute ‘segNet’

AastaLLL · August 17, 2020, 3:19am

Hi,

Have you built jetson-inference from source first?

github.com

dusty-nv/jetson-inference/blob/master/docs/building-repo-2.md#quick-reference

<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.