How to convert YOLO's CLS or OBB model to an OpenVINO model

Support YOLO
8

image
image1272×275 45 KB

(.ultra) PS Q:\ML_dev\ultra_pip> yolo predict model="Q:\ML_dev\ultra_repo\ultralytics-1\weights\yolo11n-obb_openvino_model\"
WARNING 'source' argument is missing. 

Using default 'source=https://ultralytics.com/images/boats.jpg'.
Ultralytics 8.3.147  Python-3.11.6 torch-2.6.0+cpu CPU (Intel Core(TM) i5-10600K 4.10GHz)
Loading Q:\ML_dev\ultra_repo\ultralytics-1\weights\yolo11n-obb_openvino_model for OpenVINO inference...
Using OpenVINO LATENCY mode for batch=1 inference...

Found https://ultralytics.com/images/boats.jpg locally at boats.jpg
image 1/1 Q:\ML_dev\ultra_pip\boats.jpg: 1024x1024 None110.5ms
Speed: 7.3ms preprocess, 110.5ms inference, 54.1ms postprocess per image at shape (1, 3, 1024, 1024)

Results saved to Q:\ML_dev\ultra_repo\ultralytics-1\runs\obb\predict2
 Learn more at https://docs.ultralytics.com/modes/predict