Our main task is to use trained files of some models and run on Jetson Nano. There are three potential models that we can implement on it. 1st is a Yolov5 trained model that we are using for Object detection. (trained file best.pt is attached) 2nd is an EfficientDet model trained for object detection. (trained model in 2 formats is attached) 3rd is a project on TB detection that performs classification ( report is attached) Plz see these models how they work and how these trained files can be run on Jetson Nano.
AliSubhan5341/FringeFinder
Detection of fringe patterns in self-mixing based interferometric signals using EfficientDet and YOLOv5 object-detection model and deploying the model on Jetson Nano
Python