cvaccum.cpp

将OpenCV移植到DSP上

    if( !mask )
    {
        CvFunc2D_2A func = (CvFunc2D_2A)acc_tab.fn_2d[CV_MAT_DEPTH(type)];

        if( !func )
            CV_ERROR( CV_StsUnsupportedFormat, "" );

        size.width *= CV_MAT_CN(type);

        if( CV_IS_MAT_CONT( mat->type & sum->type ))
        {
            size.width *= size.height;
            mat_step = sum_step = CV_STUB_STEP;;
            size.height = 1;
        }

        IPPI_CALL( func( mat->data.ptr, mat_step, sum->data.ptr, sum_step, size ));
    }
    else
    {
        CvFunc2D_3A func = (CvFunc2D_3A)accmask_tab.fn_2d[type];

        if( !func )
            CV_ERROR( CV_StsUnsupportedFormat, "" );

        CV_CALL( mask = cvGetMat( mask, &maskstub ));

        if( !CV_IS_MASK_ARR( mask ))
            CV_ERROR( CV_StsBadMask, "" );

        if( !CV_ARE_SIZES_EQ( mat, mask ))
            CV_ERROR( CV_StsUnmatchedSizes, "" );            

        mask_step = mask->step;

        if( CV_IS_MAT_CONT( mat->type & sum->type & mask->type ))
        {
            size.width *= size.height;
            mat_step = sum_step = mask_step = CV_STUB_STEP;
            size.height = 1;
        }

        IPPI_CALL( func( mat->data.ptr, mat_step, mask->data.ptr, mask_step,
                         sum->data.ptr, sum_step, size ));
    }

    __END__;
}


CV_IMPL void
cvMultiplyAcc( const void* arrA, const void* arrB,
               void* acc, const void* maskarr )
{
    static CvFuncTable acc_tab;
    static CvBigFuncTable accmask_tab;
    static int inittab = 0;
    
    CV_FUNCNAME( "cvMultiplyAcc" );

    __BEGIN__;

    int coi1, coi2, coi3;
    int type;
    int mat1_step, mat2_step, sum_step, mask_step = 0;
    CvSize size;
    CvMat stub1, *mat1 = (CvMat*)arrA;
    CvMat stub2, *mat2 = (CvMat*)arrB;
    CvMat sumstub, *sum = (CvMat*)acc;
    CvMat maskstub, *mask = (CvMat*)maskarr;

    if( !inittab )
    {
        icvInitAddProductTable( &acc_tab, &accmask_tab );
        inittab = 1;
    }

    CV_CALL( mat1 = cvGetMat( mat1, &stub1, &coi1 ));
    CV_CALL( mat2 = cvGetMat( mat2, &stub2, &coi2 ));
    CV_CALL( sum = cvGetMat( sum, &sumstub, &coi3 ));

    if( coi1 != 0 || coi2 != 0 || coi3 != 0 )
        CV_ERROR( CV_BadCOI, "" );

    if( !CV_ARE_CNS_EQ( mat1, mat2 ) || !CV_ARE_CNS_EQ( mat1, sum ))
        CV_ERROR( CV_StsUnmatchedFormats, "" );

    if( CV_MAT_DEPTH( sum->type ) != CV_32F )
        CV_ERROR( CV_BadDepth, "" );

    if( !CV_ARE_SIZES_EQ( mat1, sum ) || !CV_ARE_SIZES_EQ( mat2, sum ))
        CV_ERROR( CV_StsUnmatchedSizes, "" );

    size = cvGetMatSize( mat1 );
    type = CV_MAT_TYPE( mat1->type );

    mat1_step = mat1->step;
    mat2_step = mat2->step;
    sum_step = sum->step;

    if( !mask )
    {
        CvFunc2D_3A func = (CvFunc2D_3A)acc_tab.fn_2d[CV_MAT_DEPTH(type)];

        if( !func )
            CV_ERROR( CV_StsUnsupportedFormat, "" );

        size.width *= CV_MAT_CN(type);

        if( CV_IS_MAT_CONT( mat1->type & mat2->type & sum->type ))
        {
            size.width *= size.height;
            mat1_step = mat2_step = sum_step = CV_STUB_STEP;
            size.height = 1;
        }

        IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
                         sum->data.ptr, sum_step, size ));
    }
    else
    {
        CvFunc2D_4A func = (CvFunc2D_4A)accmask_tab.fn_2d[type];

        if( !func )
            CV_ERROR( CV_StsUnsupportedFormat, "" );

        CV_CALL( mask = cvGetMat( mask, &maskstub ));

        if( !CV_IS_MASK_ARR( mask ))
            CV_ERROR( CV_StsBadMask, "" );

        if( !CV_ARE_SIZES_EQ( mat1, mask ))
            CV_ERROR( CV_StsUnmatchedSizes, "" );

        mask_step = mask->step;

        if( CV_IS_MAT_CONT( mat1->type & mat2->type & sum->type & mask->type ))
        {
            size.width *= size.height;
            mat1_step = mat2_step = sum_step = mask_step = CV_STUB_STEP;
            size.height = 1;
        }

        IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
                         mask->data.ptr, mask_step,
                         sum->data.ptr, sum_step, size ));
    }

    __END__;
}


typedef CvStatus (CV_STDCALL *CvAddWeightedFunc)( const void* src, int srcstep,
                                                  void* dst, int dststep,
                                                  CvSize size, float alpha );

typedef CvStatus (CV_STDCALL *CvAddWeightedMaskFunc)( const void* src, int srcstep,
                                                      void* dst, int dststep,
                                                      const void* mask, int maskstep,
                                                      CvSize size, float alpha );

CV_IMPL void
cvRunningAvg( const void* arrY, void* arrU,
              double alpha, const void* maskarr )
{
    static CvFuncTable acc_tab;
    static CvBigFuncTable accmask_tab;
    static int inittab = 0;
    
    CV_FUNCNAME( "cvRunningAvg" );

    __BEGIN__;

    int coi1, coi2;
    int type;
    int mat_step, sum_step, mask_step = 0;
    CvSize size;
    CvMat stub, *mat = (CvMat*)arrY;
    CvMat sumstub, *sum = (CvMat*)arrU;
    CvMat maskstub, *mask = (CvMat*)maskarr;

    if( !inittab )
    {
        icvInitAddWeightedTable( &acc_tab, &accmask_tab );
        inittab = 1;
    }

    CV_CALL( mat = cvGetMat( mat, &stub, &coi1 ));
    CV_CALL( sum = cvGetMat( sum, &sumstub, &coi2 ));

    if( coi1 != 0 || coi2 != 0 )
        CV_ERROR( CV_BadCOI, "" );

    if( !CV_ARE_CNS_EQ( mat, sum ))
        CV_ERROR( CV_StsUnmatchedFormats, "" );

    if( CV_MAT_DEPTH( sum->type ) != CV_32F )
        CV_ERROR( CV_BadDepth, "" );

    if( !CV_ARE_SIZES_EQ( mat, sum ))
        CV_ERROR( CV_StsUnmatchedSizes, "" );

    size = cvGetMatSize( mat );
    type = CV_MAT_TYPE( mat->type );

    mat_step = mat->step;
    sum_step = sum->step;

    if( !mask )
    {
        CvAddWeightedFunc func = (CvAddWeightedFunc)acc_tab.fn_2d[CV_MAT_DEPTH(type)];

        if( !func )
            CV_ERROR( CV_StsUnsupportedFormat, "" );

        size.width *= CV_MAT_CN(type);
        if( CV_IS_MAT_CONT( mat->type & sum->type ))
        {
            size.width *= size.height;
            mat_step = sum_step = CV_STUB_STEP;
            size.height = 1;
        }

        IPPI_CALL( func( mat->data.ptr, mat_step,
                         sum->data.ptr, sum_step, size, (float)alpha ));
    }
    else
    {
        CvAddWeightedMaskFunc func = (CvAddWeightedMaskFunc)accmask_tab.fn_2d[type];

        if( !func )
            CV_ERROR( CV_StsUnsupportedFormat, "" );

        CV_CALL( mask = cvGetMat( mask, &maskstub ));

        if( !CV_IS_MASK_ARR( mask ))
            CV_ERROR( CV_StsBadMask, "" );

        if( !CV_ARE_SIZES_EQ( mat, mask ))
            CV_ERROR( CV_StsUnmatchedSizes, "" );

        mask_step = mask->step;

        if( CV_IS_MAT_CONT( mat->type & sum->type & mask->type ))
        {
            size.width *= size.height;
            mat_step = sum_step = mask_step = CV_STUB_STEP;
            size.height = 1;
        }

        IPPI_CALL( func( mat->data.ptr, mat_step, mask->data.ptr, mask_step,
                         sum->data.ptr, sum_step, size, (float)alpha ));
    }

    __END__;
}


/* End of file. */