• Hardware Platform (Jetson / GPU): Jetson Nano
• DeepStream Version: 5
• JetPack Version (valid for Jetson only): 4.4
• TensorRT Version: 7.0.1
• NVIDIA GPU Driver Version (valid for GPU only): 455.38
• Issue Type( questions, new requirements, bugs): Questions?
I’m starting the development of a ADAS (Advanced Driver Assistance System) based on Jetson Nano. I’m trying to use the Deepstream SDK to develop the system. I’ve already tried some Deepstream examples as “deepstream-app”, “deepstream-segmentation” and the deepstream-tests.
I’m using two different models, one for object detection (trafficcamnet) and a custom segmentation model (unet) for lane segmentation that I tested with deepstream-segmentation. In order to proceed with my development I need to put these two models to work in the same pipeline. After each processed frame I need to access its output and access each frame with OpenCV for developing other features.
So I’m facing the following questions.
1 - How can I put these two models working in the same pipeline?
2 - How can I access the models output?
3 - How can I access the pipeline frames using OpenCV in order to create a custom user interface?
Thanks in advance!