from ultralytics import YOLO 


# Load an official or custom model
# model = YOLO('yolov8n.pt')  # Load an official Detect model
model = YOLO('yolov8s.pt')  # Load an official Detect model
# model = YOLO('yolov8n-seg.pt')  # Load an official Segment model
# model = YOLO('yolov8n-pose.pt')  # Load an official Pose model
# model = YOLO('path/to/best.pt')  # Load a custom trained model


# Run inference on 'bus.jpg' with arguments
for i in model.predict("D:\Projects\FaceTrackingCamerav3\Raymond.mp4", save=True, save_frames=True, save_txt=True, conf=0.5, stream=True):
    continue