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Template:CUDA ISP for NVIDIA Jetson/Main contents: Difference between revisions

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* '''Artificial intelligence applications'''
* '''Artificial intelligence applications'''
Developing artificial intelligence (AI) applications, such as computer vision, can require intensive computations in which the GPU can help with the processing.  
Developing artificial intelligence (AI) applications, such as computer vision, can require intensive computations in which the GPU can help with the processing. It is possible to find CUDA ISP working on a multi-GPU environment, where the ISP is running on a GPU and the AI applications on another one.
 
* '''Application with many plugged in cameras'''
Using cameras in applications require CPU processing for capturing images. Applications that may use many cameras can overload the CPU processing capacity affecting the performance of the CPU for non-related camera data processing. By letting the GPU handle the image processing of the cameras, the CPU can focus on processing data for the other elements in the application.


*'''Streaming applications'''
*'''Streaming applications'''
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