100% CPU usage while tracking objects using dlib

Autonomous Machines Jetson & Embedded Systems Jetson TX2
1

Hi all,

My Python application hung when I tried to track objects using dlib in Jetson TX2, and when I ran tegrastats, I found that all 6 cores had 100% usage while GPU usage was less than 20%.

After some troubleshooting, I found that the root cause was Classes — dlib documentation. I also checked the dlib.DLIB_USE_CUDA flag and it’s True.

Can anyone please help? Thanks.

Brian Yang

2

Hi,

https://github.com/davisking/dlib/issues/1447
It looks like this is under expectation.

The the stuck, would you mind to check the memory usage from tegrastats?

Thanks.

3

I’m now flashing the TX2 again, try to get a clean installation of dlib. Previously I installed TensorFlow 1.15 before dlib.

But the weird part is that the same Python script doesn’t hang in Jetson Nano, even the dlib version is the same (19.16).

4

After reinstalling dlib without commenting out the line (which was suggested by https://devtalk.nvidia.com/default/topic/1049660/jetson-nano/issues-with-dlib-library/post/5336330/#5336330):

forward_algo = forward_best_algo;

The Python application doesn’t hang anymore. I believe because I’m running JetPack 4.3 which has cuDNN 7.6.3, which has fixed this issue just as https://devtalk.nvidia.com/default/topic/1049660/jetson-nano/issues-with-dlib-library/post/5346948/#5346948 confirmed.

Thanks.

5

Good to know this.
Thanks for updating the status with us.