Lens Correction for Embedded Systems
 | Lens Correction for Embedded Systems RidgeRun documentation is currently under development. |
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Lens Correction for Embedded Systems. | ||||||||||||
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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:
The following video provides a hands-on overview of Lens Correction for Embedded Systems on the works! | ||||||||||||
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RidgeRun support | ||||||||||||
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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:
 For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
ARTIFICIAL INTELLIGENCE
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