Getting Access to the PVA

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RidgeRun NVIDIA PVA Development

Table of Contents [Sticky]

• Introduction
  • What is the PVA?
  • When to Use the PVA?
  • Development Workflow
  • Services
• Getting Access to the PVA
  • Vision Programming Interface(VPI)
  • GStreamer VPI Plug-In
  • Custom Applications
  • PVA Tuning
• Algorithms - Performance Showcase
• Contact Us
• Sponsor your Favorite Feature

It is possible to unlock the potential of the PVA hardware acceleration using three different methods:

1. Vision Programming Interface (VPI); an NVIDIA library with several image signal processing and analysis algorithms accelerated using CPU, CUDA, and PVA.
2. RidgeRun GstVPI; a GStreamer plug-in with elements that leverage VPI to GStreamer.
3. Custom Applications; which involve custom C++ applications based on RidgeRun LibPVA, porting and/or developing custom algorithms, and a library that exposes an API to access the PVA for hardware acceleration.

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