Difference between revisions of "Template:CUDA ISP for NVIDIA Jetson/Main contents"
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== Use cases == | == Use cases == | ||
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| + | {{Review|Please, improve the text format. The page should be good-looking|lleon}} | ||
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''When to use CUDA ISP?'' | ''When to use CUDA ISP?'' | ||
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* '''Application with large percentage of CPU usage''' | * '''Application with large percentage of CPU usage''' | ||
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| + | {{Review|Some examples? You can cite, for instance, a board that runs many CPU applications, servers, and so|lleon}} | ||
| + | {{Review|Another possible application is to use x86 discrete GPUs, since they do not have ISP built-in|lleon}} | ||
If you ever found yourself overloading the CPU processing capacity, the GPU can handle it via CUDA ISP. | If you ever found yourself overloading the CPU processing capacity, the GPU can handle it via CUDA ISP. | ||
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<br> | <br> | ||
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| + | {{Review|What about the other case? When you need to plug too many cameras. Also, when you need the GPU for intensive computations and AI|lleon}} | ||
== Supported Formats == | == Supported Formats == | ||
Revision as of 10:27, 3 March 2023
 | CUDA ISP for NVIDIA Jetson RidgeRun documentation is currently under development. |
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CUDA ISP for NVIDIA Jetson! CUDA ISP for NVIDIA Jetson Plugin from RidgeRun. |
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CUDA ISP for NVIDIA Jetson | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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This wiki is a user guide for our CUDA ISP for NVIDIA Jetson project. ContentsWhat is CUDA ISP for NVIDIA Jetson?CUDA ISP is a RidgeRun library developed to provide an alternative approach to image signal processing using CUDA rather than NVIDIA's Jetson ISP. Since our library's CUDA algorithms run on the GPU, they reduce the CPU usage. It is intended to be used in programs that require a large amount of CPU usage, so by using CUDA ISP, the CPU does not have to take into account the processing done by NVIDIA's Jetson ISP resulting in a better performance of the application by letting the GPU handle the processing. It can also be used with GStreamer applications. The algorithms provided by the CUDA ISP are:
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RidgeRun also makes a binary-only evaluation version available. Please refer to Contact Us to get an evaluation binary. Use cases
When to use CUDA ISP? CUDA ISP provides an alternative solution to reduce CPU usage by allowing the GPU handle the image processing.
If you ever found yourself overloading the CPU processing capacity, the GPU can handle it via CUDA ISP. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Supported Formats
Tested Platforms
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RidgeRun Support | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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RidgeRun provides support for embedded Linux development for NVIDIA, Xilinx, Freescale/NXP, and Texas Instruments platforms, specializing in multimedia applications. This page contains detailed guides and information on how to get started with the CUDA ISP for NVIDIA Jetson and start using its full capabilities. To get up-to-speed with your CUDA ISP for NVIDIA Jetson, start by clicking below:
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