修改框架（未完全完成）实现单个相机分开绑定算法

Check.Main/Infer/IDetector.cs

@@ -0,0 +1,62 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace Check.Main.Infer
+{
+    public interface IDetector : IDisposable
+    {
+        /// <summary>
+        /// 初始化检测器。
+        /// </summary>
+        /// <param name="modelPath">模型文件路径（对于传统算法可能是模板目录）</param>
+        /// <param name="detectionSettings">特定于检测器的设置对象（可选，可以用于传递阈值等）</param>
+        void Initialize(string modelPath, object detectionSettings = null);
+
+        /// <summary>
+        /// 执行图像检测。
+        /// </summary>
+        /// <param name="image">待检测的图像。</param>
+        /// <returns>包含检测结果（如OK/NG，得分，边界框等）的统一对象。</returns>
+        DetectionResult Detect(Bitmap image);
+    }
+
+    /// <summary>
+    /// 统一的检测结果类。
+    /// </summary>
+    public class DetectionResult
+    {
+        public bool IsOk { get; set; }
+        public string Message { get; set; }
+        public double Score { get; set; }
+        public List<RectangleF> BoundingBoxes { get; set; } // 深度学习可能返回多个目标框
+
+        // 如果需要，可以添加带有绘制结果的图像
+        public Bitmap ResultImage { get; set; }
+
+        public DetectionResult(bool isOk, string message = "Unknown", double score = 0.0, List<RectangleF> boundingBoxes = null, Bitmap resultImage = null)
+        {
+            IsOk = isOk;
+            Message = message;
+            Score = score;
+            BoundingBoxes = boundingBoxes ?? new List<RectangleF>();
+            ResultImage = resultImage;
+        }
+    }
+
+    //// 辅助设置类，用于传递给 HalconTemplateDetector
+    //public class HalconDetectionSettings
+    //{
+    //    public double ScoreThreshold { get; set; } = 0.5;
+    //}
+
+    // 辅助设置类，用于传递给 YoloDetector
+    public class YoloDetectionSettings
+    {
+        public float ConfidenceThreshold { get; set; } = 0.25f;
+        public float NmsThreshold { get; set; } = 0.45f;
+    }
+
+}