We are using DeepStream’s python binding for out implementation and we are facing below stated issues.
We want to modularize as model loading, inference, and post-processing. But these things are getting done in the backend C++ code which is a deprecated one. So We are unable to access the model variable and getting the frame-by-frame inference from the package.
We need to build a single function-based inference from the deepStream model in python. As the current python pipeline is suitable for the video-wise inference demo.
If somehow we can manage to get the model loading and inference part from the backend code, I hope we’ll be done with whatever we’re currently trying to get.