Lionel Weicker

Hi John, Thanks for your answer. The inference with higher input size indeed works as you explained. After running multiple tests, I however have the feeling that the quality of...

Yes it is possible to run this project only with CPU. Assuming you have installed trt_pose and use `densenet121_baseline_att_256x256_B` model, here follows a snippet to load the model with cpu....

Hello, I have the same problem. Is there any way to have the list of libraries used with the associated versions? Update: I tried with tensorflow-gpu==1.13.1 and it worked.

Hi, Do you track every skeleton points of each individual ? Are you dealing with a lot of people on your videos? If not done yet, did you try with...

Can you please share your code and sample video you are using? I'll look into it.

Hi, I ran your code and got the same CPU utilization as you. I also did not notice any drop in fps. Are you sure that this drop is not...

Hi, I confirm that the CPU utilization is also at 100% when with tracker enabled, but no drop in fps. Regarding the profiling, I was referring to your initial application,...

Hi, I checked your logs; the differences in process time for `trtkeypoints.py:98(find_key_points)` and `densenet.py:XX(forward)` between SORT and norfair are odd. I don't understand how the tracking could influence the process...

Hello, Can you please tell me where did you find run_ssd_batch.py file?

@dsbyprateekg Once reparameterization is done, you can convert directly the model to engine file, for example in int8, and the output file will be about 8.3MB.