RidgeRun Services Development Workflow

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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

RidgeRun Services Development Workflow: PVA

RidgeRun has developed a clear and effective development workflow to deliver successful PVA-based solutions:

1. Customer Contact & Requirements Gathering:

• The Statement of Work (SoW) is received.
• Optionally includes the algorithm to be ported (either in Python, CPU, or GPU), input/output format details, and performance expectations.

2. Feasibility Evaluation:

• RidgeRun performs a technical analysis to determine whether the algorithm fits within PVA constraints (e.g., memory, data flow, supported operators).
• If needed, RidgeRun proposes algorithm adaptations to achieve compatibility.

3. Implementation Phase:

• A working version is implemented using a shared library in C/C++ or RidgeRun’s GStreamer VPI Plugin.
• The algorithm is validated against functional and performance requirements.

4. Optimization Loop:

• If performance improvements are required, RidgeRun iteratively applies optimization techniques.
• Optimization continues until diminishing returns are observed or target performance is reached.

5. Delivery and Support:

• RidgeRun provides the PVA configuration files in binary form, ensuring compatibility with the customer's deployment environment.
• Optional post-delivery support includes integration assistance and further tuning.

For more information about our services, you can visit our website.

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