Lab_setup.md

How to Get Started

In order to use this workshop content, you will need to setup your hardware and install the Intel® Distribution of OpenVINO™ toolkit for infering your computer vision application.

1. System requirements

System Requirement can be found from HERE

2. Operating System

These labs have been validated on Ubuntu* 18.04 OS.

3. Software installation steps

a). Install Intel® Distribution of OpenVINO™ toolkit

Download Linux*-based Intel® Distribution of OpenVINO™ toolkit and use steps described in the install guide to install the Intel® Distribution of OpenVINO™ toolkit, set the Environment Variables, configure Model Optimizer, run the Verification Scripts to verify installation, and additional steps to enable the toolkit components to use GPU or VPU on your system.

b). Run the demo scipts and compile samples

Run demo scripts (any one of them or both if you want to both the demos) which will generate the folder $HOME/inference_engine_samples with the current Intel® Distribution of OpenVINO™ toolkit built.

cd /opt/intel/openvino_2021/deployment_tools/demo
./demo_squeezenet_download_convert_run.sh
./demo_security_barrier_camera.sh

cd $HOME/inference_engine_samples_build
make

cd $HOME/inference_engine_demos_build
make

Lab setup

Set the folder to execute labs in the workshop github.

Download workshop content and set directory path

1. Create the workshop directory

sudo mkdir -p /opt/intel/workshop/

2. Change ownership of the workshop directory to the current user

Note: replace the usernames below with your user account name

sudo chown username.username -R /opt/intel

3. Navigate to the new directory

cd /opt/intel/workshop/

4. Download and clone the workshop content to the current directory (/opt/intel/workshop/smart-video-workshop).

git clone https://github.com/intel-iot-devkit/smart-video-workshop.git