from ultralytics import YOLO import cv2 model = YOLO('yolov8n.pt') Run inference on a sample image results = model('https://ultralytics.com/images/bus.jpg') Display results for r in results: r.show() # Opens image window
from ultralytics import YOLO model = YOLO('yolov8n.pt') # Downloads to current directory or ~/.cache/ultralytics/ Download the desired weight file directly from the official Ultralytics release assets: yolo v8 download
Execute the following Python code. The system will automatically fetch the default Nano model ( yolov8n.pt ): from ultralytics import YOLO import cv2 model =
Example for Large model: https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8l.pt To confirm the installation and weights are functioning, run a test inference: run a test inference: