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Introduction

Date: Thursday, February 11, 2021
Time: 9:00am – 10:00am PT
Duration: 1 hour

The NVIDIA Vision Programming Interface (VPI) software library provides computer vision/image processing algorithms that are implemented on several computing engines. It’s available in NVIDIA Jetson embedded devices and in discrete devices, such as GPUs.


We’ll be providing a comprehensive introduction to VPI API. You’ll learn how to build a complete and efficient stereo disparity-estimation pipeline using VPI that runs on Jetson-family devices. This webinar is ideal for programmers who want to get more performance out of their Jetson devices by using VPI to easily and efficiently implement computer vision/image processing solutions. VisionWorks and OpenCV users will also benefit from learning about VPI. It provides a unified API to both CPU and NVIDIA CUDA algorithm implementations, as well as interoperability between VPI and OpenCV and CUDA.



By attending this webinar you'll learn:
  • VPI programming concepts and best practices
  • How to implement an efficient stereo disparity-estimation pipeline with VPI
  • Interoperation of VPI and OpenCV (for input) and OpenGL via CUDA (for output), focusing on an efficient display of VPI pipeline results


Download VPI on Jetson or on x86 using SDK Manager. Visit VPI page for more details.

WEBINAR REGISTRATION

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You will receive an email with instructions on how to join the webinar shortly.

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Speaker

Rodolfo Schulz de Lima

VPI Lead Engineer, NVIDIA


Rodolfo Schulz de Lima is VPI’s lead engineer. He has a B.Sc. degree in Electronics Engineering from UFRJ—Rio de Janeiro’s Federal University—and studied Computer Graphics in IMPA (Institute for Pure and Applied Mathematics), also in Rio de Janeiro, Brazil.

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Date & Time: Wednesday, April 22, 2018