//实现线程算法示例 using MvCameraControl; using MvvmScaffoldFrame48.DLL.ConfigTools; using MvvmScaffoldFrame48.Model.ResultModel; using MvvmScaffoldFrame48.Model.StorageModel.ProcessingConfig; using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading; using System.Threading.Tasks; namespace MvvmScaffoldFrame48.DLL.ThreadManager { public class ProcessingAlgorithm : IImageProcessingAlgorithmHikVision { #region 变量与实例 //参数:阈值 private double _threshold = 128.0; //参数:最小面积 private int _minArea = 100; //参数:是否启用滤波 private bool _enableFiltering = true; //参数:滤波类型 private string _filterType = "Gaussian"; //算法名称 public string AlgorithmName => "ProcessingAlgorithm"; #endregion #region 私有方法 #endregion #region 公开方法 public object ProcessImage(IImage imageData, int cameraId) { // 使用当前参数进行图像处理 Console.WriteLine($"AlgorithmA 处理图像: 阈值={_threshold}, 最小面积={_minArea}"); // 模拟算法A的处理逻辑 Thread.Sleep(1); // 模拟处理时间 Console.WriteLine("相机执行了一次识别"); return new CameraProcessEventArgsResultModel { CameraId = cameraId, ResultData = $"ProcessingAlgorithm_Processed_Camera{cameraId}", Timestamp = DateTime.Now }; } public void Configure(string parameters) { var parameter = XMLReadWrite.DeserializeFromString(parameters); if(parameter != null) { _threshold = parameter.Threshold; _minArea = parameter.MinArea; _enableFiltering = parameter.EnableFiltering; _filterType = parameter.FilterType; } } public object GetParameters() { return new ProcessingAlgorithmConfigModel { Threshold = _threshold, MinArea = _minArea, EnableFiltering = _enableFiltering, FilterType = _filterType }; } public string GetSaveJson() { return XMLReadWrite.SerializeToString(new ProcessingAlgorithmConfigModel { Threshold = _threshold, MinArea = _minArea, EnableFiltering = _enableFiltering, FilterType = _filterType }); } #endregion } }