- Time to Complete: 30-45 minutes
Check System Requirements before proceeding with rest of the steps in this documentation.
The prerequisite software can be installed via the following commands on the Ubuntu host OS:
sudo apt update
sudo apt install -y \
curl \
git \
make \
openssl \
unzip \
rsyncInstalling Docker on your system:
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Install Docker using the official installation guide for Ubuntu: Docker Installation Guide for Ubuntu
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Configure Docker to start on boot and add your user to the Docker group:
sudo systemctl enable docker sudo usermod -aG docker $USER
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Log out and log back in for group membership changes to take effect.
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Verify Docker is working properly:
docker --version docker run hello-world
Note: These operations must be executed when logged in as a standard (non-root) user. Do NOT use root or sudo.
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Download the Intel® SceneScape software archive from https://github.com/open-edge-platform/scenescape/releases.
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Extract the Intel® SceneScape archive on the target Ubuntu system. Change directories to the extracted Intel® SceneScape folder.
cd scenescape-<version>/
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When downloading older Intel® SceneScape releases, follow instructions in
Getting-Started-Guidespecific to that version.
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Clone the repository:
git clone https://github.com/open-edge-platform/scenescape.git
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Change directories to the cloned repository:
cd scenescape/Note: The default branch is
main. To work with a stable release version, list the available tags and checkout specific version tag:git tag git checkout <tag-version>
Build container images:
makeThe build may take around 15 minutes depending on target machine. This step generates common base docker image and docker images for all microservices.
By default, a parallel build is being run with the number of jobs equal to the number of processors in the system.
Optionally, the number of jobs can be adjusted by setting the JOBS variable, e.g. to achieve sequential building:
make JOBS=1make list-dependenciesThis step generates dependency lists. Two separate files are created for system packages and Python packages per each microservice image.
Before deploying the demo of Intel® SceneScape for the first time, please set the environment variable SUPASS with the super user password for logging into Intel® SceneScape. Important: This should be different than the password for your system user.
export SUPASS=<password>make demoIf you are running remotely, connect using "https://<ip_address>" or "https://<hostname>", using the correct IP address or hostname of the remote Intel® SceneScape system. If accessing on a local system use "https://localhost". If you see a certificate warning, click the prompts to continue to the site. For example, in Chrome click "Advanced" and then "Proceed to <ip_address> (unsafe)".
Note: These certificate warnings are expected due to the use of a self-signed certificate for initial deployment purposes. This certificate is generated at deploy time and is unique to the instance.
Enter "admin" for the user name and the value you typed earlier for SUPASS.
To stop the containers, use the following command in the project directory:
docker compose down --remove-orphansTo start after the first time, use the following command in the project directory:
docker compose up -dIntel® SceneScape was downloaded, built and deployed onto a fresh Ubuntu system. Using the web user interface, Intel® SceneScape provides two scenes by default that can be explored running from stored video data.

Note: The “Documentation” menu option allows you to view Intel® SceneScape HTML version of the documentation in the browser.
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Tutorial: Follow examples to become familiar with the core functionality of Intel® SceneScape.
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How to use 3D UI: Explore Intel® SceneScape's powerful 3D UI
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How to Integrate Cameras and Sensors into Intel® SceneScape: Step-by-step guide to basic data flow
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How to Create and Configure a New Scene: Step-by-step guide on how to create a live scene in Intel® SceneScape
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How to use Sensor types: Step-by-step guide to getting started with sensor types.
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How to visualize regions: Step-by-step guide to getting started with visualizing regions.
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How to configure a hierarchy of scenes: Step-by-step guide to configuring a hierarchy of scenes.
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How to Configure Geospatial Coordinates for a Scene: Step-by-step guide for configuring geographic coordinates output in object detections.
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How to Configure Geospatial Map Service API Keys: Step-by-step guide for configuring Google Maps or Mapbox API keys for geospatial mapping functionality.
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How to Configure Spatial Analytics: Step-by-step guide to set up and use Regions of Interest (ROIs) and Tripwires.
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How to manually calibrate cameras: Step-by-step guide to performing Manual Camera Calibration.
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How to autocalibrate cameras using visual features: Step-by-step guide to performing Auto Camera Calibration using Visual Features.
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How to autocalibrate cameras using Apriltags: Step-by-step guide to performing Auto Camera Calibration using Apriltags.
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How to Define Object Properties: Step-by-step guide for configuring the properties of an object class.
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How to enable reidentification: Step-by-step guide to enable reidentification.
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Geti AI model integration: Step-by-step guide for integrating a Geti trained AI model with Intel® SceneScape.
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Running License Plate Recognition with 3D Object Detection: Step-by-step guide for running license plate recognition with 3D object detection.
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How to Configure DL Streamer Video Pipeline: Step-by-step guide for configuring DL Streamer video pipeline.
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Model configuration file format: Model configuration file overview.
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How to Manage Files in Volumes: Step-by-step guide for managing files in Docker and Kubernetes volumes.
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How to upgrade Intel® SceneScape: Step-by-step guide for upgrading from an older version of Intel® SceneScape.
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Converting Pixel-Based Bounding Boxes to Normalized Image Space
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Hardening Guide for Custom TLS: Optimizing security posture for a Intel® SceneScape installation
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How Intel® SceneScape converts Pixel-Based Bounding Boxes to Normalized Image Space