CUDA Accelerated GStreamer Camera Undistort

CUDA Accelerated GStreamer Camera Undistort CUDA Accelerated GStreamer Camera Undistort		CUDA Accelerated GStreamer Camera Undistort Undistort Basics Getting Started Evaluating the Undistort Getting the code Building the Undistort User Guide Camera Calibration Examples Using Gstd Other pipelines Performance Xavier Nano Contact Us
CUDA Accelerated GStreamer Camera Undistort
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!
RidgeRun support
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: Error creating thumbnail: Unable to save thumbnail to destination RidgeRun Resources Quick Start Client Engagement Process RidgeRun Blog Homepage Technical and Sales Support RidgeRun Online Store RidgeRun Videos Contact Us Contact Us Visit our Main Website for the RidgeRun Products and Online Store. RidgeRun Engineering informations are available in 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. Error creating thumbnail: Unable to save thumbnail to destination