Pose Classification Using Deepstream on Jetson Orin Nano 8Gb

Description

The project contains pose classification application built using Deepstream SDK.

Model

The TAO pretrained models used in the sample application are:

• PeopleNet
• BodyPose3DNet
• poseclassificationnet
• tracker model

Prerequisition

• DeepStream SDK 6.2 GA and above

• Install libeigen3-dev

    $ sudo apt install libeigen3-dev
    $ cd /usr/include
    $ sudo ln -sf eigen3/Eigen Eigen

Download

1. Clone Source Code with SSH or HTTPS

sudo apt update
sudo apt install git-lfs
git lfs install --skip-repo
cd deepstream/pose_classification

2. Download Models

Run below script to download models.

sudo ./download_models.sh 

Build

Build Sample Application

export CUDA_MODULE_LOADING=LAZY
export CUDA_VER=xy.z                                      // xy.z is CUDA version, e.g. 12.2
make

Run

The application can be run.

cd apps/tao_others/deepstream-pose-classification
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/nvidia/deepstream/deepstream/lib/cvcore_libs
./deepstream-pose-classification deepstream_pose_classification_config.yml

Output