Custom yolov3 detects the whole frame

Currently Deepstream 5.0 is installed (on a tx2) and the sample app for custom yolo detection runs perfectly. But when a custom trained yolov3 weights (1-class ) file is passed, the whole frame where multiple objects are present is detected as a single object. Similarly, the nvtracker runs keeping track of the whole frame.

Please provide guidance in solving this issue.
(Tried altering the net-scale-factor)

Hi,

Do you delete the .engine file first?
Deepstream will load the file directly without compiling it from a new .cfg if it is presented.

For a customized model, you may need to update some parameters first.
You can find the details in the document below:

If the issue goes on, could you share the model, configures, and source(if any) with us?

Thanks.

Thank you for your support, it was indeed the model engine which caused the issue.