![]() Streaming mode is beneficial for processing videos or live streams as it creates a generator of results instead of loading all frames into memory. ![]() The table also indicates whether each source can be used in streaming mode with the argument stream=True ✅. The sources include static images, video streams, and various data formats. YOLOv8 can process different types of input sources for inference, as shown in the table below. probs # Class probabilities for classification outputs Inference Sources keypoints # Keypoints object for pose outputs probs = result. masks # Masks object for segmentation masks outputs keypoints = result. boxes # Boxes object for bbox outputs masks = result. From ultralytics import YOLO # Load a model model = YOLO ( 'yolov8n.pt' ) # pretrained YOLOv8n model # Run batched inference on a list of images results = model (, stream = True ) # return a generator of Results objects # Process results generator for result in results : boxes = result.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |