YOLOv8 支持所有YOLO 版本,甚至包括竞争对手的版本(Google MobileNet 等)。 支持多种格式和平台 将训练好的模型轻松导出为最常见的格式(ONNX,OpenVINO,CoreML 等),并在从 CPU 到 GPU 的各种平台上运行这些模型 在GitHub 上贡献 明星 | 44,419 观看
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! To request an Enterprise License please complete the form at Ultralytics...
YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above: from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model ...
YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above: from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model ...
UltralyticsYOLOv8is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent...
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! To request an Enterprise License please complete the form at Ultralytics...
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite. Contribute to mysqlsc/ultralytics development by creating an account on GitHub.
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8Docsfor details, raise an issue onGitHubfor support, and join ourDiscordcommunity for questions and discussions! To request an Enterprise License please complete the form atUltralytics Licensing....
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! To request an Enterprise License please complete the form at Ultralytics...
YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above: from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model ...