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- from ultralytics import YOLO
- import cv2
- # 1. Load your newly trained model
- model = YOLO('best.pt')
- # 2. Run prediction on an image from your 'test' folder
- # Change 'path/to/your/test/image.jpg' to a real path
- results = model.predict(source='datasets/test/images/TestRipe-1-_jpg.rf.1d329242e7510efbc0c6a2c94bc43edb.jpg', save=True, conf=0.5)
- # 3. Check your 'runs/detect/predict' folder for the result image!
- print("Check runs/detect/predict for the annotated image.")
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