I am new to Cuda at all.
I built an opencv color detection routine on a raspberry Pi in c++ the other day.
With high resolution it is far to slow, so I want to use the GPU Power of the Jetson Nano.
I installed the standard jetson nano SD jetson-nano-sd-r32.1-2019-03-18.zip
I can compile opencv c++ programs.
As expected they are slower than the raspberry pi programs as the CPU is slower.
Now I want to use GPU power, but I cannot find the opencv2/gpu.hpp.
I expect the nvidia guys to have the gpu extension installed into the opencv2-system.
Is this wrong?
How do I procede now?
If anyone want to help me even further:
I want to do a color detection in a 1280x720@120fps stream coming from a CSI Cam.
I wanted to do it the standard way : blure, hsv, treshold, detect
and I wanted to do this on GPU instead of CPU.
This would only include using cv::gpu:GpuMat instead of CV::Mat , right?
But is this the best way?
I am sure, I am not the first one trying to do so.
So I would be glad if anyone helped me.