Install Guide Ubuntu

The easiest way to install Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework is installation from Debian packages using APT repository. If you prefer containerized environment based on Docker, the Intel® DL Streamer Pipeline Framework Docker image is available as well as Dockerfile to build runtime Docker image. Regardless of chosen installations process, please follow prerequisites.

For detailed description of installation process, including the option with building Intel® DL Streamer Pipeline Framework from the source code provided in Open Edge Platform repository, please follow instructions in: Advanced Installation Guide

Prerequisites

To use GPU and/or NPU as an inference devices or to use graphics hardware encoding/decoding capabilities, it is required to install appropriate drivers. Please use the script below to detect available device(s) and install these drivers. Please also pay attention to displayed information while the script has references to other Intel® resources when additional configuration is required.

Step 1: Download the prerequisites installation script

mkdir -p ~/intel/dlstreamer_gst
cd ~/intel/dlstreamer_gst/
wget -O DLS_install_prerequisites.sh https://raw.githubusercontent.com/open-edge-platform/edge-ai-libraries/main/libraries/dl-streamer/scripts/DLS_install_prerequisites.sh && chmod +x DLS_install_prerequisites.sh

Step 2: Execute the script and follow its instructions

./DLS_install_prerequisites.sh

The script installs all the essential packages needed for most users, including the following packages:

GPU:
   libze-intel-gpu1
   libze1
   intel-opencl-icd
   clinfo
   intel-gsc
Media:
   intel-media-va-driver-non-free
NPU:
   intel-driver-compiler-npu
   intel-fw-npu
   intel-level-zero-npu
   level-zero

More details about the packages can be found in the following driver links respectively: Client GPU, Data Center GPU, Media, NPU.

Option #1: Install Intel® DL Streamer Pipeline Framework from Debian packages using APT repository

This option provides the simplest installation flow using apt-get install command.

Step 1: Install prerequisites

Run the script DLS_install_prerequisites.sh to install required GPU/NPU drivers. For more details see prerequisites.

./DLS_install_prerequisites.sh

Step 2: Setup repositories

Ubuntu 22Ubuntu 24

sudo -E wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
sudo wget -O- https://eci.intel.com/sed-repos/gpg-keys/GPG-PUB-KEY-INTEL-SED.gpg | sudo tee /usr/share/keyrings/sed-archive-keyring.gpg > /dev/null
sudo echo "deb [signed-by=/usr/share/keyrings/sed-archive-keyring.gpg] https://eci.intel.com/sed-repos/$(source /etc/os-release && echo $VERSION_CODENAME) sed main" | sudo tee /etc/apt/sources.list.d/sed.list
sudo bash -c 'echo -e "Package: *\nPin: origin eci.intel.com\nPin-Priority: 1000" > /etc/apt/preferences.d/sed'
sudo bash -c 'echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/openvino/2025 ubuntu22 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list'

Note

If you have OpenVINO installed in a version different from 2025.0.0, please uninstall the OpenVINO packages using the following commands.

sudo apt remove -y openvino* libopenvino-* python3-openvino*
sudo apt-get autoremove

Step 3: Install Intel® DL Streamer Pipeline Framework

Note

This step will also install the required dependencies, including OpenVINO™ Toolkit and GStreamer.

sudo apt update
sudo apt-get install intel-dlstreamer

Congratulations! Intel® DL Streamer is now installed and ready for use!

To see the full list of installed components check the dockerfile content for Ubuntu24

[Optional] Step 4: Python dependencies

The Python packages required to run Intel® DL Streamer python elements or samples are not installed by default. You can install them using commands from Advanced Install Guide Compilation / Install Python dependencies

[Optional] Step 5: Post installation steps

Download model and run hello_dlstreamer script

Before executing any scripts, ensure you have set the MODELS_PATH environment variable to the directory where the model will be downloaded or where it already exists. The hello_dlstreamer.sh script assumes the availability of the YOLO11s model. If you do not have it, download it using the following command:

Note

The download_public_models.sh script will download the YOLO11s model from the Ultralytics website along with other required components and convert it to the OpenVINO™ format. If you already have the model, skip this step and simply export the MODELS_PATH and execute the hello_dlstreamer.sh script.

mkdir -p /home/${USER}/models
export MODELS_PATH=/home/${USER}/models
/opt/intel/dlstreamer/samples/download_public_models.sh yolo11s

The hello_dlstreamer.sh will set up the required environment variables and runs a sample pipeline to confirm that Intel® DL Streamer is installed correctly. To run the hello_dlstreamer script, execute the following command:

/opt/intel/dlstreamer/scripts/hello_dlstreamer.sh

Note

To set up Linux with the relevant environment variables every time a new terminal is opened, open ~/.bashrc and add the following lines:

export LIBVA_DRIVER_NAME=iHD
export GST_PLUGIN_PATH=/opt/intel/dlstreamer/build/intel64/Release/lib:/opt/intel/dlstreamer/gstreamer/lib/gstreamer-1.0:/opt/intel/dlstreamer/gstreamer/lib/:
export LD_LIBRARY_PATH=/opt/intel/dlstreamer/gstreamer/lib:/opt/intel/dlstreamer/build/intel64/Release/lib:/opt/intel/dlstreamer/lib/gstreamer-1.0:/usr/lib:/opt/intel/dlstreamer/build/intel64/Release/lib:/opt/opencv:/opt/openh264:/opt/rdkafka:/opt/ffmpeg:/usr/local/lib/gstreamer-1.0:/usr/local/lib
export LIBVA_DRIVERS_PATH=/usr/lib/x86_64-linux-gnu/dri
export GST_VA_ALL_DRIVERS=1
export PATH=/opt/intel/dlstreamer/gstreamer/bin:/opt/intel/dlstreamer/build/intel64/Release/bin:$PATH
export GST_PLUGIN_FEATURE_RANK=${GST_PLUGIN_FEATURE_RANK},ximagesink:MAX

[Optional] Step 6: Auxiliary installation steps

A. Check for installed packages and versions

apt list --installed | grep intel-dlstreamer

B. To install a specific version run the following command:

sudo apt install intel-dlstreamer=<VERSION>.<UPDATE>.<PATCH>

For example

sudo apt install intel-dlstreamer=2025.0.0

C. List available versions

sudo apt show -a intel-dlstreamer

Option #2: Install Docker image from Docker Hub and run it

Step 1: Install prerequisites

Run the script DLS_install_prerequisites.sh to setup your environment. For more details see prerequisites.

./DLS_install_prerequisites.sh

Step 2: Install Docker

Get Docker for your host OS

To prevent file permission issues please follow ‘Manage Docker as a non-root user’ section steps described here <https://docs.docker.com/engine/install/linux-postinstall/>

Step 3: Allow connection to X server

Some Pipeline Framework samples use display. Hence, first run the following commands to allow connection from Docker container to X server on host:

xhost local:root
setfacl -m user:1000:r ~/.Xauthority

Note

If you want to build Docker image from DLStreamer Dockerfiles please follow steps from: Ubuntu advanced installation - build Docker image.

Step 4: Pull the Intel® DL Streamer Docker image from Docker Hub

Visit <https://hub.docker.com/r/intel/dlstreamer/> Intel® DL Streamer image docker hub to select the most appropriate version. By default , the latest docker image points to Ubuntu 24 version.

For Ubuntu 22.04 please specify tag e.g. 2025.0.1.2-ubuntu22. For Ubuntu 24.04 please use latest tag or specified version e.g. 2025.0.1.2-ubuntu24.

Ubuntu 22Ubuntu 24

docker pull intel/dlstreamer:2025.0.1.2-ubuntu22

Step 5: Run Intel® DL Streamer Pipeline Framework container

To confirm that your installation is completed successfully, please run a container

Ubuntu 22Ubuntu 24

docker run -it intel/dlstreamer:2025.0.1.2-ubuntu22

In the container, please run the gst-inspect-1.0 gvadetect to confirm that GStreamer and Intel® DL Streamer are running

gst-inspect-1.0 gvadetect

If your can see the documentation of gvadetect element, the installation process is completed.

Next Steps

You are ready to use Intel® DL Streamer. For further instructions to run sample pipeline(s), please go to: Tutorial

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