In the dump_raw_dmabuf() function, there is a code that uses the for loop to extract data. After testing, this code is very inefficient.
What is the efficient way to extract data from nvbuf_surf->surfaceList?
How can the memory in nvbuf_surf->surfaceList.mappedAddr.addr[plane] be converted into cuda device memory?
There is data alignment in hardware DMA buffer so for dumping frame data to a file, we have to copy line by line to eliminate the additional pixels.
For getting CUDA buffer of a NvBufSurface, please refer to cuda_postprocess() in
hat’s what I’m doing now.
But I find it very performance-consuming and time-consuming. Is there a high-performance method to extract DMA buffer data ?
The memory type of DMA buffer is NVBUF_MEM_SURFACE_ARRAY, which cannot be used by [_device] Functions of type.
How can I convert NVBUF_MEM_SURFACE_ARRAY type memory into [_device] without copying memory data What about functions of type?
With the following function calls:
You can get CUDA pointer to the buffer and there is no additional memory copy. It is the optimal method on Jetson platforms.
Can you provide a specific use method or example?
It is demonstrated in HandleEGLImage(). The code of the function is in
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