"How to hide labels and probability in YOLOv8 while saving predictions?" from ultralytics import YOLO from pathlib import Path model = YOLO("yolov8m-seg.pt") results = model.train( data="D:/a)tutot_seg/YOLO_dataset/data.yaml", epochs=3, imgsz=1280, batch=1 ) image_folder = Path("D:/A)seg23/COCO_to_YOLOv8/YOLO_dataset/validation/images") image_paths = list(image_folder.glob("\*.jpg")) results = model.predict(source=image_paths, verbose=False) output_folder = Path("D:/A)seg23/COCO_to_YOLOv8/YOLO_dataset/predictions") output_folder.mkdir(parents=True, exist_ok=True) for i, result in enumerate(results): annotated_image = result.plot(labels=False, conf=False) # Убираем метки и вероятность output_path = output_folder / f"pred\_{i}.jpg" result.save(output_path) # Сохраняем обработанное изображение print("Предсказания сохранены в:", output_folder) help with the label and sant remove this Continue reading...