i have few questions about deestream pipline:
1, my target is recognite one person with some other objects which like tools, or gun, knife, etc. can i use secondary or more inference? i should how to train? train all objects with person together, or train object one by one to different engine?
2, which deepstream-test is good for me?
3, pls give an advice to push ROI informations to my cloud? which gst plugin should i check?
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) • DeepStream Version • JetPack Version (valid for Jetson only) • TensorRT Version • NVIDIA GPU Driver Version (valid for GPU only) • Issue Type( questions, new requirements, bugs) • How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing) • Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
iam using jetson NX with deepstream-5.1 and jackpack 4.4.1 or 4.5.1…
and model is yolov4 trained. i trained 4 objects totally together by 4 classes, and main object is person, other 3 objects are tools with person, i want to know what tools on this person’s body, pls give an advice how should i do for the target? i checked deepstream test for car, it can work like that by secondary reference to achieve that task. i may use similar test for me?
i run back-to-back app successfully,
but for secondry_detector_config.txt, i didn’t find where is below fd_lpd file:
i want to use them directly, pls give instructions asap!