Image preprocessing with and cuda nvidia npp throught gstreamer

[alphikuuuu]

https://docs.nvidia.com/jetson/l4t/index.html#page/Tegra%20Linux%20Driver%20Package%20Development%20Guide/accelerated_gstreamer.html#wwpID0E0BI0HA

There it is indicated the ability to insert your own dynamic library, formed in a special way according to api. The sources api says that I can write my own function for processing in cuda.

The first question is, can I use the nvidia npp library in ‘customer-lib-name = “libnvsample_cudaprocess.so”’, would that be good practice?

Second question - How at a low level can the preprocessing results obtained with “libnvsample_cudaprocess.so” be transferred to the buffer (input) of TensorRT?

[Lee2021]

You can use Cuda in the custom library. I.e. with the use of the following wrappers function
https://github.com/dusty-nv/jetson-util
You can overlay text (see cuda/cudaFont) on images by Cuda

[AastaLLL]

Hi,

NPP is integrated into the CUDA library.
So you can use it as a general CUDA function.

You might also be interested in our Deepstream SDK.
The library uses the GStreamer interface and includes the preprocessing and TensorRT inference implementation.

DeepStream SDK

Thanks.