For NV model, we should also provide the GIE config file, you could keep the config as NV release.
For other models as you said that you don’t know how it was trained, I think user have to try both and check their output accuracy. BTW, if don’t know how the model was trianed, e.g. the mean value, offset value, it’s hard to get the same inference accuracy as they are trained.
YOLOv2 performance Issue based on streammux output size is an exmaple about maintain-aspect-ratio=1.