divdaisymuffin

Okay thank you @xwu2git for the detailed explanation of the issue.

@nnshah1, yeah actually I am able to see person model is sending data and only bounding boxes for it is visible, what ideally I want is to have person getting...

Actually I want both, 1. people detection -> face detection(within detected people) -> recognition (within faces)-->mqtt. for other purpose I want live stream --> one branch-->person detection-->mqtt --> second branch...

yes, but will it send data if person is standing with his back visible and not face, in that case will data will be sent to mqtt?

yeah then its great for me

Thanks @nnshah1 and @tthakkal. Let me try these.

@tthakkal @nnshah1 I want to run2 detection models together, one is head detection model and another is a model that should take roi of first model and run on specific...

@tthakkal Tried the shared pipeline as well, still error remains same and in model-proc the class name is "person" only `{ "json_schema_version": "2.0.0", "input_preproc": [], "output_postproc": [ { "converter": "tensor_to_bbox_yolo_v3",...

Hi @xwu2git and @nnshah1 , Thanks for sharing this information, I am sharing our current configuration on the camera, where FPS is 20 and I-frames are going at 40, so...

Is there is a way that via gstreamer pipeline we can fix the GOP length? @nnshah1 @xwu2git