@AastaLLL While this question is old, I am facing some similar problems. I have a pipeline with 1 detector and 3 classifiers, running on Deepstream Version 5. My pipeline builds on the pipeline from DeepStream Test 2 Python Application. I am not able to run more than 2 classifiers at the same time on the detected objects. All the classifiers work on the same class of object detected on first primary inference engine. I am also using a tracker.
Primary Engine Detection
|---------------- Classifier 1 on Objects of Class 0
|---------------- Classifier 2 on Objects of Class 0
|---------------- Classifier 3 on Objects of Class 0
I am using 5 separate config files:
1 - Detector
3 - 1 for each of the classifiers
1 - Tracker.
Classifier Async Mode is disabled.
I am not able to see more than two classifiers’ output at the same time. How can I apply each of the three secondary classifier engines on each bounding box of interest?