Please provide complete information as applicable to your setup.
• Hardware Platform (GPU): NVIDIA 2080 TI
• DeepStream Version: 5.0
• NVIDIA GPU Driver Version : 450.102.04
• Issue Type: question
I want to use only classification in GSTPipeline and bypass the primary inference. The use case is to crop n images from each source-frame and send each frame for classification in the pipeline.
We have found gst-dsexample as a way to add custom scaling or cropping logic before classification but that is also one-to-one processing i.e. single frame is processed to give a single output.
So, the question is:
- How we can give multiple output from gst-dsexample plugin towards next step?
- How we can configure just classifier in the pipeline after muxer/ gst-dsexample to run only classification?
Let me know if any other detail is needed.