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    • Metro AI Suite
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    • Edge AI Libraries
    • Edge Microvisor Toolkit
    • Edge Manageability Framework
  • Metro AI Suite
  • Manufacturing AI Suite
  • Retail AI Suite
  • Robotics AI Suite
  • Edge AI Libraries
  • Edge Microvisor Toolkit
  • Edge Manageability Framework

Section Navigation

  • DL Streamer
    • Get Started
      • System Requirements
      • Install Guide
        • Install Guide Ubuntu
        • Install Guide Ubuntu 24.04 on WSL2
        • Uninstall Guide Ubuntu
        • Install Guide Windows
      • Tutorial
      • Samples
    • Developer Guide
      • Advanced Installation Guide
        • Advanced Installation On Ubuntu - Prerequisites
        • Advanced Installation On Ubuntu - Using Pre-built Packages
        • Advanced Installation - Compilation From Source
        • Advanced Installation On Ubuntu - Build Docker Image
        • Advanced Uninstallation On Ubuntu
      • Metadata
      • Model Preparation
        • YOLO Models
        • Large Vision Models
        • Download Public Models
      • Model Info Section
      • GStreamer Python Bindings
      • Custom GStreamer Plugin Installation
      • Custom Processing
      • Object Tracking
      • GPU device selection
      • Performance Guide
      • Profiling with Intel VTune™
      • Converting NVIDIA DeepStream Pipelines to Deep Learning Streamer Pipeline Framework
      • How to Contribute
        • Coding Style
      • Latency Tracer
      • Model-proc File (legacy)
        • How to Create Model-proc File
    • Elements
      • gvadetect
      • gvaclassify
      • gvainference
      • gvatrack
      • gvaaudiodetect
      • gvagenai
      • gvaattachroi
      • gvafpscounter
      • gvametaaggregate
      • gvametaconvert
      • gvametapublish
      • gvapython
      • gvarealsense
      • gvawatermark
      • GStreamer Elements
        • Compositor
    • Supported Models
    • API Reference
    • Architecture 2.0
      • Migration to 2.0
      • ① Memory Interop and C++ abstract interfaces
      • ② C++ elements
      • ③ GStreamer Elements
      • ③ GStreamer Bin Elements
      • Python Bindings
      • PyTorch tensor inference
      • Elements 2.0
      • Packaging
      • Samples 2.0
      • API 2.0 Reference
    • Deep Learning Streamer Pipeline Framework Release 2025.1.2
  • VIPPET
    • System Requirements
    • Get Started
    • Release Notes
    • Build from Source
    • Build and Use Video Generator
    • GitHub
    • Disclaimers
    • Get Help
  • SceneScape
    • Intel® SceneScape Overview and Architecture
    • Getting Started with Intel® SceneScape
    • Tutorial
    • System Requirements
    • Get Help
    • How to Use AprilTag Camera Calibration in Intel® SceneScape
    • How to Autocalibrate Cameras using Visual Features in Intel® SceneScape
    • How to Create and Manage a Scene Hierarchy in Intel® SceneScape
    • How to Configure DLStreamer Video Pipeline
    • How to Create and Configure a New Scene
    • How to Enable Re-identification Using Visual Similarity Search
    • How to Integrate Cameras and Sensors into Intel® SceneScape
    • How to Integrate Intel® Geti™ AI Models with Intel® SceneScape
    • How to Manually Calibrate Cameras in Intel® SceneScape
    • How to Upgrade Intel® SceneScape
    • How to Use the Intel® SceneScape 3D UI for Camera Calibration
    • How to Use Environmental and Attribute Sensor Types in Intel® SceneScape
    • How to Visualize ROI and Sensor Areas in Intel® SceneScape
    • How to Configure Geospatial Coordinates for a Scene
    • How to Configure Spatial Analytics in Intel® SceneScape
    • How to Define Object Properties
    • How to run License Plate Recognition (LPR) with 3D Object Detection
    • Intel® SceneScape Hardening Guide
    • How Intel® SceneScape converts Pixel-Based Bounding Boxes to Normalized Image Space
    • API Reference
    • Release Notes
  • Geti
  • Anomalib
  • Datumaro
  • Geti SDK
  • Audio Analyzer
    • Overview and Architecture
    • System Requirements
    • Get Started
    • How to Build from Source
    • API Reference
    • Release Notes
  • DL Streamer Pipeline Server
    • Overview and Architecture
    • System Requirements
    • Get Started
    • Troubleshooting
    • How to change Deep Learning Streamer pipeline
    • How to use GPU for decode and inference
    • How to use CPU for decode and inference
    • How to autostart pipelines
    • How to launch configurable pipelines
    • How to perform WebRTC frame streaming
    • How to publish metadata and frame over MQTT
    • How to publish frames to S3
    • How to publish metadata to InfluxDB
    • How to publish metadata over ROS2
    • How to launch and manage pipeline (via script)
    • How to use RTSP camera as a source
    • How to run User Defined Function (UDF) pipelines
    • How to Deploy with Helm
    • How to use image file as source over REST payload
    • How to download and run YOLO models
    • How to build from source
    • How to add system timestamps to metadata
    • API Reference
    • Environment Variables
    • Advanced user guide
      • REST API guide
        • REST Endpoints Reference Guide
        • Defining Media Analytics Pipelines
        • Customizing Pipeline Requests
      • Configuration
        • Basic Deep Learning Streamer Pipeline Server Configuration
      • Cameras
        • RTSP Cameras
      • File Ingestion
        • Image Ingestion
        • Video Ingestion
        • Multifilesrc Usage
      • User Defined Functions (UDF)
        • UDF Writing Guide
        • Configuring udfloader element
      • Publishers
        • MQTT Publishing via gvapython
        • MQTT Publishing
        • OPCUA Publishing post pipeline execution
        • S3 Frame Storage
      • How To Advanced
        • Model Update
        • Object tracking with UDF
        • Enable HTTPS for DL Streamer Pipeline Server (Optional)
        • Performance Analysis (Latency)
        • Get tensor vector data
        • Run multistream pipelines with shared model instance
        • Cross stream batching
        • Enable Open Telemetry
        • Working with other services
    • Release Notes
      • August 2025
      • April 2025
      • March 2025
      • February 2025
      • November 2024
      • October 2024
      • September 2024
      • July 2024
  • Document Ingestion - PGVector
    • Get Started
    • Build and customize options
    • System Requirements
  • Multimodal Embedding Serving
  • Vector Retriever - milvus
    • Get Started Guide
    • Retriever Microservice API Reference
  • Visual Data Preparation For Retrieval
  • VLM OpenVINO Serving
  • Time Series Analytics
    • High-Level Architecture
    • System Requirements
    • Get Started
    • Access Time Series Analytics Microservice API
    • Deploy with Helm
    • API Reference
    • Release Notes
      • August 2025
  • Model Registry
    • Overview and Architecture
    • System Requirements
    • Get Started
    • How to Deploy with Helm
    • How to Interface with Intel® Geti™ Software
    • API Reference
    • Environment Variables
    • Release Notes
  • Chat Q&A
    • ChatQ&A Overview
    • System Requirements
    • Get Started
    • How to Build from Source
    • How to deploy with Helm
    • Deploy with Edge Orchestrator
    • How to Test Performance
    • Benchmarks
    • API Reference
    • Release Notes
  • Chat Q&A Core
    • System Requirements
    • Get Started
    • How to Build from Source
    • How to deploy with Helm
    • Benchmarks
    • API Reference
    • Release Notes
  • Document Summarization
    • System Design Document: Document Summarization Application
    • System Requirements
    • Get Started: Document Summarization Application
    • How to Build from Source
    • How to deploy with Helm
    • How to Test Performance
    • API Reference
    • Release Notes
    • FAQ: Document Summarization Application
  • Video Search and Summarization
    • Video Search Overview
    • Video Summary Overview
    • Video Search and Summary (VSS) Architecture overview
    • Video Search Architecture Overview
    • Video Summary Architecture Overview
    • System Requirements
    • Get Started
    • How to Build from Source
    • How to deploy with Helm* Chart
    • API Reference
    • Release Notes
  • PLCopen Motion Control
    • RTmotion Library
      • Installation & Setup
        • System Requirements
        • OS Setup
        • Real-Time in Linux
      • RTmotion Concept and Application Interface
    • Notices and Disclaimers
  • Edge AI Libraries
  • PLCopen Motion Control
  • Notices and Disclaimers

Notices and Disclaimers gsgs_legal#

You may not use or facilitate the use of this document in connection with any infringement or other legal analysis concerning Intel products described herein. You agree to grant Intel a non-exclusive, royalty-free license to any patent claim thereafter drafted which includes subject matter disclosed herein.

No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document.

All product plans and roadmaps are subject to change without notice.

The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request.

Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade.

Intel technologies may require enabled hardware, software or service activation.

No product or component can be absolutely secure.

Your costs and results may vary.

Code names are used by Intel to identify products, technologies, or services that are in development and not publicly available. These are not “commercial” names and not intended to function as trademarks.

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.

© Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.

This software and the related documents are Intel copyrighted materials, and your use of them is governed by the express license under which they were provided to you (License). Unless the License provides otherwise, you may not use, modify, copy, publish, distribute, disclose or transmit this software or the related documents without Intel’s prior written permission.

This software and the related documents are provided as is, with no express or implied warranties, other than those that are expressly stated in the License.

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