Please use. NET 5,. NET 6, NET 7,. NET 8, NET Framework 4.6, NET Framework 4.61, NET Framework 4.7, NET Framework 4.72, NET Framework 4.8, NET Framework 4.81, and. NET Core 3.1 versions

ModelType 枚举

Represents different types of computer vision models supported by the framework 表示框架支持的不同类型计算机视觉模型

Definition

命名空间: DeploySharp.Model
程序集: DeploySharp (在 DeploySharp.dll 中) 版本:0.0.4+6e8a2e904469617cd59619d666c0e272985c0e33
C#
public enum ModelType

备注

Organized into YOLO family models (v5-v13 with various capabilities) and special-purpose models. YOLO models are grouped by version and ordered chronologically.

分为YOLO系列模型(v5-v13,具备多种功能)和专用模型。 YOLO模型按版本分组并按时间顺序排列。

成员

YOLOv5Det0 YOLOv5 Object Detection model YOLOv5目标检测模型
YOLOv5Seg1 YOLOv5 Instance Segmentation model YOLOv5实例分割模型
YOLOv6Det2 YOLOv6 Object Detection model YOLOv6目标检测模型
YOLOv7Det3 YOLOv7 Object Detection model YOLOv7目标检测模型
YOLOv8Det4 YOLOv8 Object Detection model YOLOv8目标检测模型
YOLOv8Seg5 YOLOv8 Instance Segmentation model YOLOv8实例分割模型
YOLOv8Obb6 YOLOv8 Oriented Bounding Box model YOLOv8旋转框检测模型
YOLOv8Pose7 YOLOv8 Human Pose Estimation model YOLOv8人体姿态估计模型
YOLOv9Det8 YOLOv9 Object Detection model (newest version) YOLOv9目标检测模型(最新版本)
YOLOv9Seg9 YOLOv9 Instance Segmentation model YOLOv9实例分割模型
YOLOv10Det10 YOLOv10 Object Detection model YOLOv10目标检测模型
YOLOv11Det11 YOLOv11 Object Detection model YOLOv11目标检测模型
YOLOv11Seg12 YOLOv11 Instance Segmentation model YOLOv11实例分割模型
YOLOv11Obb13 YOLOv11 Oriented Bounding Box model YOLOv11旋转框检测模型
YOLOv11Pose14 YOLOv11 Human Pose Estimation model YOLOv11人体姿态估计模型
YOLOv12Det15 YOLOv12 Object Detection model YOLOv12目标检测模型
YOLOv13Det16 YOLOv13 Object Detection model YOLOv13目标检测模型
AnomalibSeg17 Anomalib Segmentation model for industrial anomaly detection 用于工业异常检测的Anomalib分割模型

参见