User Guide#

Use this guide to learn how to work with ViPPET after the platform is installed and running. It introduces the main workflows used in day-to-day evaluation work: preparing inputs, managing models, building pipelines, running benchmarks, and improving performance on Intel® hardware.

If you are new to ViPPET, complete the Getting Started section first. Then use this guide to move from basic setup to practical pipeline execution and optimization.

What this guide covers#

The User Guide is organized around the main tasks you perform in the ViPPET UI:

Preparing inputs: Learn how to work with live cameras, uploaded image sets, and video files in the Input Management section.

Managing models: Learn how to install supported models, upload your own OpenVINO models, and prepare them for use in pipelines in the Model Management section.

Working with pipelines: Learn how to create, configure, and run pipelines, choose between simple and advanced views, and use predefined templates in the Working With Pipelines section.

Benchmarking platform behavior: Learn how to measure throughput, compare pipeline performance, and find maximum stream density in the Benchmarking section.

When to use this guide#

Use the User Guide when you want to:

  • set up inputs and models for a practical evaluation workflow,

  • configure and execute AI pipelines in the ViPPET UI,

  • compare pipeline behavior across different devices or stream counts,

  • understand where performance bottlenecks appear,

  • apply tuning techniques before moving to more advanced platform or architecture topics.

For system architecture, integrations, and contribution workflows, continue to the Developer Guide.