using System;
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using System.Collections;
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namespace HalconTools
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{
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public delegate void StatisticsDelegate(int val);
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/// <summary>
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/// This class and its derived classes MatchingOptSpeed and
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/// MatchingOptStatistics implement the optimization process for the
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/// matching parameters in terms of the recognition speed and the
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/// recognition rate. Similar to the processing in HDevelop, a timer
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/// is used to be able to abort the processing during a run.
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/// </summary>
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public class MatchingOpt
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{
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/// <summary>
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/// Delegate to notify about the state of the optimization process
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/// </summary>
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public StatisticsDelegate NotifyStatisticsObserver;
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/// <summary>
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/// Information about the optimization process
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/// (e.g. Success or Failure) to be displayed in the GUI
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/// </summary>
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public string statusString;
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/// <summary>
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/// Statistics for the parameter optimization
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/// </summary>
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public string [] recogTabOptimizationData = new string[8];
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/// <summary>
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/// Statistics for the recognition rate
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/// </summary>
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public string [] inspectTabRecogRateData = new string[5];
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/// <summary>
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/// Statistics of detection results for the optimal
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/// recognition rate
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/// </summary>
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public string [] inspectTabStatisticsData = new string[21];
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/// <summary>
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/// Reference to instance of MatchingAssistant,
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/// which triggers the optimization performance.
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/// </summary>
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public MatchingAssistant mAssistant;
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/// <summary>
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/// Result of detection
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/// </summary>
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public MatchingResult mResults;
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/// <summary>
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/// Set of matching parameters
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/// </summary>
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public MatchingParam mParams;
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/// <summary>
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/// Number of all test images to be inspected
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/// </summary>
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public int tImageCount;
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/// <summary>
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/// Index of test image, being inspected currently
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/// </summary>
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public int mCurrentIndex;
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/// <summary>
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/// Flag, indicating success or failure of optimization process
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/// </summary>
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public bool mOptSuccess;
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public IEnumerator iterator;
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/// <summary>
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/// Constant describing a change in the status line
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/// </summary>
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public const int UPDATE_RECOG_STATISTICS_STATUS= 21;
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/// <summary>
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/// Constant describing a change in the statistics of
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/// the last recognition run
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/// </summary>
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public const int UPDATE_RECOG_UPDATE_VALS = 22;
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/// <summary>
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/// Constant describing a change in the statistics of
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/// the optimal recognition run
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/// </summary>
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public const int UPDATE_RECOG_OPTIMUM_VALS = 23;
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/// <summary>
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/// Constant describing an error during the optimization
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/// run, concerning the test image data or matching model
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/// </summary>
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public const int UPDATE_TEST_ERR = 24;
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/// <summary>
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/// Constant describing an error, which says that there is
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/// no possible combination of matching parameters to obtain
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/// a detection result
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/// </summary>
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public const int UPDATE_RECOG_ERR = 25;
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/// <summary>
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/// Constant describing a change in the statistics of
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/// the recognition rate
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/// </summary>
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public const int UPDATE_INSP_RECOGRATE = 26;
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/// <summary>
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/// Constant describing a change in the statics of
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/// the average recognition results
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/// </summary>
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public const int UPDATE_INSP_STATISTICS = 27;
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/// <summary>
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/// Constant describing an update of the
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/// detection results
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/// </summary>
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public const int UPDATE_TESTVIEW = 28;
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/// <summary>
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/// Constant describing the success of the optimization
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/// process and triggering the adjustment of the GUI
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/// components to the optimal parameter setting
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/// </summary>
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public const int RUN_SUCCESSFUL = 29;
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/// <summary>
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/// Constant describing the failure of the optimization
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/// process and reseting the matching parameters to the
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/// initial setup
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/// </summary>
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public const int RUN_FAILED = 30;
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/// <summary>
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/// Constructor
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/// </summary>
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public MatchingOpt(){}
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/// <summary>
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/// Performs an optimization step.
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/// </summary>
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public virtual bool ExecuteStep(){ return true; }
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/// <summary>
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/// Resets all parameters for evaluating the performance to their initial values.
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/// </summary>
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public virtual void reset(){}
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/// <summary>
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///
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/// </summary>
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public virtual void stop(){}
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public void dummy(int val) { }
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}//class
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}//end of namespace
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