Just have some questions and thoughts before I change anything in my working flow. I have a "simple" subflow as seen below. Inside it I have the tf coco ssd node. The flow works very well but since the subflow is loaded multiple times I could save memory (RAM) if I instead could place the tf coco ssd node outside of the subflow, shared on a common tab, and instead call it on demand
With the newly released Link Call node, I can see an opportunity to optimize my flow, making a "subroutine" on a tab, using a single tf coco ssd node, loading the model only once. Would this reduce the overall perfomance if there are many images to be analyzed "at the same time"? I mean since NR is single threaded, would it help to improve performance to have several models loaded instead of just one that is shared?? I'm a bit worried, making this change would degrade the overall performance in those situations when there are many images to be analyzed "in parallel"
Greatful for all your inputs & thoughts