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    <p style="font-size: 3em; margin-bottom:0">CUDA Accelerated GStreamer Camera Undistort</p> 
    <p style="font-size: 1em; margin-top:0; margin-bottom:3rem">CUDA Accelerated GStreamer Camera Undistort</p> 
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[[File:Xavier-module-standing-3qrtr-alpha-1500px.jpg|200px|NVIDIA Jetson SoM]]
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<span style="color:#2f0909; font-size: 1.1em;">CUDA Accelerated GStreamer Camera Undistort</span>
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'''[https://www.ridgerun.com/ RidgeRun]''' knows how important documentation is for your project, especially with CUDA Accelerated GStreamer Camera Undistort. 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 '''CUDA Accelerated GStreamer Camera Undistort ''' project.

Image distortion correction is a process required when using lenses that misrepresent the real world; an undistortion algorithm takes a distorted source from a camera and transforms it so that the output looks as true and correct as possible as if no distortion lenses were used.

CUDA Accelerated GStreamer '''Camera Undistort ''' is a RidgeRun product which implements this algorithm, as well as a GStreamer element so that you can integrate it into your pipeline for any other further needed processing.  It transforms the input images in such a way that the distortion is no longer detected. This means you can supply the result to further algorithms downstream or use it for human consumption without having to adequate the undistort output.

CUDA Accelerated GStreamer Camera Undistort leverages the GPU to offer real-time performance even for the highest resolution images and multi-camera systems. 

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

The following image provides an overview of the CUDA Accelerated GStreamer Camera Undistort element on the works!

[[File:Single Camera Calibration Test.png|1100px|center]]

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<span style="color:#2f0909; font-size: 1.1em;">RidgeRun support</span>
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RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes.

This page contains detailed guides and information on how to get started with the CUDA Accelerated GStreamer Camera Undistort and start using its full capabilities.

To get up-to-speed with your NVIDIA Jetson board with CUDA Accelerated GStreamer Camera Undistort, start by clicking below:
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[[File:xavier_get_started_here.png|400px|frameless|center|link=CUDA Accelerated GStreamer Camera Undistort/CUDA Accelerated GStreamer Camera Undistort Basics]]

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