(yolo312) C:\Users\user>yolo detect predict model=yolo26n.pt source='https://ultralytics.com/images/bus.jpg'Downloading https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt to 'yolo26n.pt': 6% ╸─────────── 3Downloading https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt to 'yolo26n.pt': 65% ━━━━━━━╸──── Downloading https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt to 'yolo26n.pt': 100% ━━━━━━━━━━━━ 5.3MB 24.0MB/s 0.2sUltralytics 8.4.41 Python-3.12.13 torch-2.11.0+cpu CPU (12th Gen Intel Core i7-12700)YOLO26n summary (fused): 122 layers, 2,408,932 parameters, 0 gradients, 5.4 GFLOPs
Downloading https://ultralytics.com/images/bus.jpg to 'bus.jpg': 100% ━━━━━━━━━━━━ 134.2KB 1.9MB/s 0.1simage 1/1 C:\Users\user\bus.jpg: 640x480 4 persons, 1 bus, 71.6msSpeed: 3.6ms preprocess, 71.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480)Results saved to C:\Users\user\runs\detect\predict Learn more at https://docs.ultralytics.com/modes/predict