Difference between revisions of "Template:Image Stitching for NVIDIA Jetson/Main contents"
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| − | '''RidgeRun''' knows how important documentation is for your project, | + | '''RidgeRun''' knows how important documentation is for your project, especially with Image Stitching for NVIDIA Jetson boards. 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 '''Image Stitching for NVIDIA Jetson''' project. |
| − | Image stitching is an algorithm | + | Image stitching is an algorithm that can receive multiple input images taken from adjacent cameras and returns a single output as if a single camera provided this with a large field of view. |
| − | '''Image Stitching''' for NVIDIA Jetson is a RidgeRun product which implements this algorithm including other utilities to improve the stitching result. Including a GStreamer element so you can integrate it into your pipeline for any other further needed processing. It transforms the input images in such a way to make the border between these | + | '''Image Stitching''' for NVIDIA Jetson is a RidgeRun product which implements this algorithm including other utilities to improve the stitching result. Including a GStreamer element so you can integrate it into your pipeline for any other further needed processing. It transforms the input images in such a way to make the border between these seamless. This means you can supply the result to further algorithms downstream without having to adequate the stitcher output for any algorithms you might want to use or for any human consumption. |
Image Stitching leverages the GPU to offer real-time performance even for the highest resolution images and has support for up to three input images so you can use it in all of your multi-camera systems. | Image Stitching leverages the GPU to offer real-time performance even for the highest resolution images and has support for up to three input images so you can use it in all of your multi-camera systems. | ||
| − | In this wiki you will find technical documentation, tutorials, examples and much more! | + | In this wiki, you will find technical documentation, tutorials, examples, and much more! |
The following video provides a hands-on overview of Image Stitching for NVIDIA Jetson on the works! | The following video provides a hands-on overview of Image Stitching for NVIDIA Jetson on the works! | ||
Revision as of 09:15, 26 August 2020
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Image Stitching for NVIDIA®Jetson™! Image Stitching for NVIDIA®Jetson™. |
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RidgeRun knows how important documentation is for your project, especially with Image Stitching for NVIDIA Jetson boards. 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 Image Stitching for NVIDIA Jetson project. Image stitching is an algorithm that can receive multiple input images taken from adjacent cameras and returns a single output as if a single camera provided this with a large field of view. Image Stitching for NVIDIA Jetson is a RidgeRun product which implements this algorithm including other utilities to improve the stitching result. Including a GStreamer element so you can integrate it into your pipeline for any other further needed processing. It transforms the input images in such a way to make the border between these seamless. This means you can supply the result to further algorithms downstream without having to adequate the stitcher output for any algorithms you might want to use or for any human consumption. Image Stitching leverages the GPU to offer real-time performance even for the highest resolution images and has support for up to three input images so you can use it in all of your multi-camera systems. In this wiki, you will find technical documentation, tutorials, examples, and much more! The following video provides a hands-on overview of Image Stitching for NVIDIA Jetson on the works! Error creating thumbnail: Unable to save thumbnail to destination
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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 Image Stitching for NVIDIA Jetson and start using its full capabilities. To get up-to-speed with your NVIDIA Jetson board with Image Stitching for NVIDIA Jetson, start by clicking below:
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