I want to analyze an image by several neural networks in an embedded system. My question is the following :
can we run in parallel, on graphic cards like Jetson TX2 or Xavier, several inference tasks. Each task using a different neural network. For example : A task using a YOLOv5 and an other task using a Mask RCNN.
The answer is yes, but there will be some possible performance impact.
In your case since your target platform is Jetson, I am moving this discussion to an area where there are a number of community members which would have similar requirements to you.