Template:Lens Correction for Embedded Systems/Main contents

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Welcome to RidgeRun's Lens Correction for Embedded Systems.


NVIDIA Jetson SoM IMX8 EVK SoM

Lens Correction for Embedded Systems.

RidgeRun knows how important documentation is for your project, specially with complex digital imaging tools such as video stabilization. Regardless of the complexity of the technology, proper documentation can reduce the learning curve and, more importantly, the time-to-market of your product. This wiki is a user guide for our Lens Correction for Embedded Systems project.

In this wiki you will find technical documentation, tutorials, examples and much more!

As per now, supported platforms include:

  • NVIDIA Jetson Xavier (via OpenVX) (Under development)
  • NVIDIA Jetson TX1/TX2 (via OpenVX) (Under development)
  • NVIDIA Jetson Nano (via OpenVX) (Under development)
  • NXP i.MX8 (via OpenCL)
  • NXP i.MX6 (via OpenCL)
  • x86 (via OpenCL)
  • Other OpenCL accelerated platforms

The following video provides a hands-on overview of Lens Correction for Embedded Systems on the works!

RidgeRun support

RidgeRun provides support for embedded Linux development and OpenCL, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators exposed to perform transformations on the video streams achieving great performance on complex processing.

This page contains detailed guides and information on how to get started with a Lens Correction for Embedded Systems for full profile platforms and start using its full capabilities.

To get up-to-speed with Lens Correction for Embedded Systems in your platform, start by clicking below:


RidgeRun Resources

Quick Start Client Engagement Process RidgeRun Blog Homepage
Technical and Sales Support RidgeRun Online Store RidgeRun Videos Contact Us
RidgeRun.ai: Artificial Intelligence | Generative AI | Machine Learning

Contact Us

Visit our Main Website for the RidgeRun Products and Online Store. RidgeRun Engineering information is available at RidgeRun Engineering Services, RidgeRun Professional Services, RidgeRun Subscription Model and Client Engagement Process wiki pages. Please email to support@ridgerun.com for technical questions and contactus@ridgerun.com for other queries. Contact details for sponsoring the RidgeRun GStreamer projects are available in Sponsor Projects page.