Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU): Jetson nano
• DeepStream Version: 5.0
• JetPack Version (valid for Jetson only):4.4
• TensorRT Version: 7.0
I am working on Jetson nano for an object detection and segmentation application. I’m trying Yolo and faster rcnn with resnet50 backend. I want to run yolo and faster rcnn on 4 camera inputs in real time with almost 25 classes. Is it possible to achieve that without much loss in FPS. Also, what will be the best pick as far as the algorithm(yolo and faster rcnn) and the backend network is concerned for jetson nano?