peopleNet in deepstream-l4t:6.0-samples runs slow on Jetson NX

[AastaLLL]

Hi,

1. Have you added the multiple sources as mentioned above?
This will run multiple inputs concurrently.

2. You can ignore the warning directly.
For more information, please check the below topic:

TAO 21.11 detectnet_v2 fallback to fp16 in DS6

Hello there, I’ve been training a boat detector with detectnet_v2 with “nvidia-tao” 1.20 and the 21.11 tao image. I gathered that in order to perfom INT8 inference on DS6, the “export” command needed to be run with TAO version 21.11. I’ve done that (and even retrained the entire model) but to no prevail. I can create the engine in FP16 but not int INT8 (but I’m still able to run int8 models on DS5 with model exported with TAO version 21.08). The training and export are done on a DGX-Station. …

3. Deepstream uses TensorRT as the inference engine.
It will convert the etlt file into TensorRT first and deploy it.

Thanks.