OpenCV GPU acceleration and profiling

Accelerated Computing GPU-Accelerated Libraries
1

Hi there,

I’m currently developing some computer vision software on the Jetson TK1. I have installed OpenCV on the Tegra via the Jetpack package (running L4T 21.4). I have compiled and run my software on the Tegra, but didn’t notice a significant increase in speed from using the GPU.

To make use of the GPU do the OpenCV GPU functions need to be used, or can regular OpenCV functions be used? I ask because the elinux wiki implies that you can write regular OpenCV code, which will automatically be accelerated.

I am also looking to profile the performance of the CPU & GPU while running my software. I have used gprof to check out the CPU, but as far as I’m aware gprof doesn’t profile the GPU. Is there a tool for doing this?

Cheers,

Daniel

2

Regular OpenCV code is not automatically accelerated. You need to use the GPU accelerated OpenCV functions.

Yes there are various CUDA profilers which are covered in the documentation.