How to load model YOLOv8 ONNXRuntime

YOLOv8 is the latest version (v8) of the YOLO (You Only Look Once) object detection system. YOLO is a real-time, one-shot object detection system that aims to perform object detection in a single forward pass of the network, making it fast and efficient. YOLOv8 is an improved version of the previous YOLO models with improved accuracy and faster inference speed.

ONNX (Open Neural Network Exchange) is an open format to represent deep learning models. To convert a YOLOv8 model to ONNX format, you need to use a tool such as ONNX Runtime, which provides an API to convert models from different frameworks to ONNX format. The exact steps would depend on the programming framework and tools you are using to develop and run your YOLOv8 model.

How to convert?

model = YOLO("yolov8n.pt")  
results = model.predict(source="https://ultralytics.com/images/bus.jpg")[0]

model.export(format="onnx",imgsz=[640,640], opset=12)  # export the model to ONNX format

How to load ONNX Runtime?

onnxruntime is an open-source runtime engine for executing machine learning models that are represented in the Open Neural Network Exchange (ONNX) format. ONNX is an open standard for representing deep learning models that allows for interoperability between different frameworks and tools…