• DeepStream Version: 4.0.2
The documentation of DeepStream and TLT seems vague on many cases, but for my current project i need to understand what the following content means exactly:
# preprocessing parameters: These are the same for all classification models generated by TLT. net-scale-factor=1.0 offsets=123.67;116.28;103.53 model-color-format=1 batch-size=30
Is the phrase “These are the same for all classification models generated by TLT” valid for all those options? At least for the batch size it does not seem to make any sense to me.
And why are we supposed to use those exact numbers for net-scale-factor and offsets. net-scale-factor might make sense since we do not want change the pixel data in general, but why do we need to adjust every channel?