We currently have a DeepStream pipeline that we use to ingest video data and perform inference using a Yolov5 model converted to TensorRT. Isaac ROS and NITROS have parallel capability, but what about the case where you want to leverage both Nvidia solutions?
My understanding is the idea behind DeepStream is to also avoid unnecessary GPU/CPU memory copies and leverage GPU/hardware acceleration as much as possible. Seems like a very similar concept as NITROS, no? If we already have an accelerated pipeline that leverages DeepStream, what do you advise is the best path to add NITROS support?