i want to do cascaded inference according to test app 2 from deepstream.
i have a yolo vehicle detector as primary inference(which is working fine in deepstream) and then i want to feed the cropped vehicles to the secondary model to get the license plates.
i have two questions regarding the above scenario.
1- does the pipeline automatically crop the output objects from the primary inference and feed it as input to the secondary inference model?
2- where do i find secondary model output?
my goal is to get cropped license plates that i can display with openCV or save locally.