public abstract class IYolov10DetModel : IModelProvides improved object detection performance over previous YOLO versions. 相比之前版本的YOLO提供改进的目标检测性能。
Key features: 主要特性: - Enhanced accuracy-speed tradeoff 改进的精度-速度平衡 - Optimized architecture for efficient inference 针对高效推理优化的架构 - Simplified output format (6 values per detection) 简化的输出格式(每个检测6个值)
Output format explanation: 输出格式说明: Each detection contains 6 values per row: 每个检测包含每行6个值: [x1, y1, x2, y2, confidence, class_id]
| IYolov10DetModel | Initializes a new instance of YOLOv10 detector 初始化YOLOv10检测器的新实例 |
| ModelInferenceProfiler |
Performance profiler recording timing metrics
记录时间指标的性能分析器
(继承自 IModel。) |
| Dispose |
Releases model resources
释放模型资源
(继承自 IModel。) |
| Equals | Determines whether the specified object is equal to the current object. (继承自 Object。) |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (继承自 Object。) |
| GetHashCode | Serves as the default hash function. (继承自 Object。) |
| GetType | Gets the Type of the current instance. (继承自 Object。) |
| MemberwiseClone | Creates a shallow copy of the current Object. (继承自 Object。) |
| Postprocess |
Post-processes raw model output to extract detection results
对原始模型输出进行后处理以提取检测结果
(重写 IModelPostprocess(DataTensor, ImageAdjustmentParam)) |
| Predict(ListObject) |
Performs batch prediction on multiple inputs
对多个输入执行批量预测
(继承自 IModel。) |
| Predict(Object) | Predicts objects in input image and returns detection results 预测输入图像中的目标并返回检测结果 |
| PredictAsync |
Asynchronously performs prediction on single input
异步执行单个输入预测
(继承自 IModel。) |
| Preprocess |
Abstract method for input preprocessing
输入预处理的抽象方法
(继承自 IModel。) |
| ToString | Returns a string that represents the current object. (继承自 Object。) |
| config |
Model configuration parameters
模型配置参数
(继承自 IModel。) |
| engine |
Inference engine instance
推理引擎实例
(继承自 IModel。) |
| predictorTimer |
Timer measuring different prediction phases
测量不同预测阶段的计时器
(继承自 IModel。) |