aerrhandle.cpp

微软的基于HMM的人脸识别原代码, 非常经典的说

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#include "CvTest.h"
#include "CvTest.hpp"
#include <process.h>


/* Testing parameters */
static char* FuncName = "Error Handling Test";

static char TestName[]    = "Checking Error Handling";
static char TestClass[]   = "Algorithm";
    
/* here is own error checking function */
CVStatus CV_CDECL err_func( CVStatus status, const char *func,
                          const char *context, const char *file,int line) 
{
    return status;
};

void _cdecl ThreadFunction(void* result)
{
    long Errors = 0;

    /* Some variables */
    cvSetErrMode( CV_ErrModeLeaf );
    Errors+= (cvGetErrMode() != CV_ErrModeLeaf);

    cvSetErrMode( CV_ErrModeParent );
    Errors+= (cvGetErrMode() != CV_ErrModeParent);

    cvSetErrMode( CV_ErrModeSilent );
    Errors+= (cvGetErrMode() != CV_ErrModeSilent);
    
    cvRedirectError( err_func );
    Errors += ( cvRedirectError( cvStdErrReport ) != err_func ); 
    Errors += ( cvRedirectError( cvGuiBoxReport ) != cvStdErrReport ); 

    Errors += ( cvRedirectError( err_func ) != cvGuiBoxReport ); 

    *((int*)result) = Errors;

    //if ( Errors )
      //  trsResult( TRS_FAIL, "Fixed %d errors", Errors );
} 

static int fmaErrHandleTest( void )
{
    long errors = 0;
    int Result1 = 0;
    int Result2 = 0;

    ThreadFunction(&Result1);
    _beginthread( ThreadFunction, 0, &Result2 );  
    
    errors = Result1 + Result2;
    return (errors == 0) ? TRS_OK : trsResult( TRS_FAIL, "Fixed %d errors", errors );

} 

void InitAErrHandle()
{
    trsReg( FuncName, TestName, TestClass, fmaErrHandleTest );
}

/* End of file. */