There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.
Thanks
All required parameters depend on your model.
All parameters definition can be found in Gst-nvinfer — DeepStream 6.3 Release documentation
Please do not use “mean-file” and “offsets” at the same time. There is no calibration file, so the “network-mode” can not be INT8.
You set “operate-on-class-ids=1” in sgie.txt and your PGIE is peoplenet, we don’t know whether it is the sample peoplenet from TAO(PeopleNet | NVIDIA NGC), if it is, the peoplenet class id 1 means “bag”, do you want to classify the “bag”?
For other parameters, since we don’t know about your model, please check with the guy who provide the model to you.
Please read the document carefully. And we already provide samples for PGIE and SGIE. The gst-nvinfer is based on tensorRT and totally open source. You can debug with the source code and DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums may also help.