What are the dim values representing in the .prototext files. For example:
/opt/nvidia/deepstream/deepstream/samples/models/Primary_Detector_Nano/resent10.prototext has dim values of 480x272.
/opt/nvidia/deepstream/deepstream/samples/models/Primary_Detector/resent10.prototext has dim values of 640x368
The performance section of the documentation suggests we lower these values to 480x272 on the jetson Xavier and NX. Why? does that make inference quicker if you specify the input dimensions to be smaller? At the expense of accuracy?
What would happen if we changed these values to higher one? Shouldn’t these dims match the size of the images the models were trained on?
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Nano, NX
• DeepStream Version 5.0GA