cxsumpixels.cpp

opencv库在TI DM6437上的移植,目前包括两个库cv.lib和cxcore.lib的工程

                                                                \
    ICV_SUM_EXIT_BLOCK_C##cn( sumtype_final );                  \
    return CV_OK;                                               \
}


#define ICV_DEF_SUM_NOHINT_FUNC_2D( name, flavor, cn,           \
    __op__, arrtype, sumtype_final, sumtype, worktype, block_size )\
IPCVAPI_IMPL(CvStatus, icv##name##_##flavor##_C##cn##R,(        \
    const arrtype* src, int step, CvSize size,                  \
    sumtype_final* sum ), (src, step, size, sum) )              \
{                                                               \
    ICV_SUM_ENTRY_C##cn( sumtype );                             \
    size.width *= cn;                                           \
                                                                \
    for( ; size.height--; src += step )                         \
    {                                                           \
        int x = 0;                                              \
        ICV_SUM_CASE_C##cn( __op__, size.width );               \
    }                                                           \
                                                                \
    ICV_SUM_EXIT_C##cn( s, sumtype_final );                     \
    return CV_OK;                                               \
}


#define ICV_DEF_SUM_HINT_FUNC_2D( name, flavor, cn,             \
    __op__, arrtype, sumtype_final, sumtype, worktype, block_size )\
IPCVAPI_IMPL(CvStatus, icv##name##_##flavor##_C##cn##R,(        \
    const arrtype* src, int step, CvSize size,                  \
    sumtype_final* sum, CvHintAlgorithm /*hint*/ ),             \
    (src, step, size, sum, cvAlgHintAccurate) )                 \
{                                                               \
    ICV_SUM_ENTRY_C##cn( sumtype );                             \
    size.width *= cn;                                           \
                                                                \
    for( ; size.height--; src += step )                         \
    {                                                           \
        int x = 0;                                              \
        ICV_SUM_CASE_C##cn( __op__, size.width );               \
    }                                                           \
                                                                \
    ICV_SUM_EXIT_C##cn( s, sumtype_final );                     \
    return CV_OK;                                               \
}


#define ICV_DEF_SUM_NOHINT_BLOCK_FUNC_2D_COI( name, flavor,     \
    __op__, arrtype, sumtype_final, sumtype, worktype, block_size )\
static CvStatus CV_STDCALL icv##name##_##flavor##_CnCR(         \
    const arrtype* src, int step, CvSize size, int cn,          \
    int coi, sumtype_final* sum )                               \
{                                                               \
    ICV_SUM_ENTRY_BLOCK_C1(sumtype,worktype,(block_size)*(cn)); \
    size.width *= cn;                                           \
    src += coi - 1;                                             \
                                                                \
    for( ; size.height--; src += step )                         \
    {                                                           \
        int x = 0;                                              \
        while( x < size.width )                                 \
        {                                                       \
            int limit = MIN( remaining, size.width - x );       \
            remaining -= limit;                                 \
            limit += x;                                         \
            ICV_SUM_COI_CASE( __op__, limit, cn );              \
            if( remaining == 0 )                                \
            {                                                   \
                ICV_SUM_UPDATE_C1( (block_size)*(cn) );         \
            }                                                   \
        }                                                       \
    }                                                           \
                                                                \
    ICV_SUM_EXIT_BLOCK_C1( sumtype_final );                     \
    return CV_OK;                                               \
}


#define ICV_DEF_SUM_NOHINT_FUNC_2D_COI( name, flavor,           \
    __op__, arrtype, sumtype_final, sumtype, worktype, block_size )\
static CvStatus CV_STDCALL icv##name##_##flavor##_CnCR(         \
    const arrtype* src, int step, CvSize size, int cn,          \
    int coi, sumtype_final* sum )                               \
{                                                               \
    ICV_SUM_ENTRY_C1( sumtype );                                \
    size.width *= cn;                                           \
    src += coi - 1;                                             \
                                                                \
    for( ; size.height--; src += step )                         \
    {                                                           \
        int x = 0;                                              \
        ICV_SUM_COI_CASE( __op__, size.width, cn );             \
    }                                                           \
                                                                \
    ICV_SUM_EXIT_C1( s, sumtype_final );                        \
    return CV_OK;                                               \
}


#define ICV_DEF_SUM_ALL( name, flavor, __op__, arrtype, sumtype_final, sumtype, \
                         worktype, hintp_type, nohint_type, block_size )        \
    ICV_DEF_SUM_##hintp_type##_FUNC_2D( name, flavor, 1, __op__, arrtype,       \
                         sumtype_final, sumtype, worktype, block_size )         \
    ICV_DEF_SUM_##hintp_type##_FUNC_2D( name, flavor, 2, __op__, arrtype,       \
                         sumtype_final, sumtype, worktype, block_size )         \
    ICV_DEF_SUM_##hintp_type##_FUNC_2D( name, flavor, 3, __op__, arrtype,       \
                         sumtype_final, sumtype, worktype, block_size )         \
    ICV_DEF_SUM_##hintp_type##_FUNC_2D( name, flavor, 4, __op__, arrtype,       \
                         sumtype_final, sumtype, worktype, block_size )         \
    ICV_DEF_SUM_##nohint_type##_FUNC_2D_COI( name, flavor, __op__, arrtype,     \
                         sumtype_final, sumtype, worktype, block_size )

ICV_DEF_SUM_ALL( Sum, 8u, CV_NOP, uchar, double, int64, unsigned,
                 NOHINT_BLOCK, NOHINT_BLOCK, 1 << 24 )
ICV_DEF_SUM_ALL( Sum, 16u, CV_NOP, ushort, double, int64, unsigned,
                 NOHINT_BLOCK, NOHINT_BLOCK, 1 << 16 )
ICV_DEF_SUM_ALL( Sum, 16s, CV_NOP, short, double, int64, int,
                 NOHINT_BLOCK, NOHINT_BLOCK, 1 << 16 )
ICV_DEF_SUM_ALL( Sum, 32s, CV_NOP, int, double, double, double, NOHINT, NOHINT, 0 )
ICV_DEF_SUM_ALL( Sum, 32f, CV_NOP, float, double, double, double, HINT, NOHINT, 0 )
ICV_DEF_SUM_ALL( Sum, 64f, CV_NOP, double, double, double, double, NOHINT, NOHINT, 0 )

#define icvSum_8s_C1R   0
#define icvSum_8s_C2R   0
#define icvSum_8s_C3R   0
#define icvSum_8s_C4R   0
#define icvSum_8s_CnCR  0

CV_DEF_INIT_BIG_FUNC_TAB_2D( Sum, R )
CV_DEF_INIT_FUNC_TAB_2D( Sum, CnCR )

CV_IMPL CvScalar
cvSum( const CvArr* arr )
{
    static CvBigFuncTable sum_tab;
    static CvFuncTable sumcoi_tab;
    static int inittab = 0;

    CvScalar sum = {{0,0,0,0}};

    CV_FUNCNAME("cvSum");

    __BEGIN__;

    int type, coi = 0;
    int mat_step;
    CvSize size;
    CvMat stub, *mat = (CvMat*)arr;

    if( !inittab )
    {
        icvInitSumRTable( &sum_tab );
        icvInitSumCnCRTable( &sumcoi_tab );
        inittab = 1;
    }

    if( !CV_IS_MAT(mat) )
    {
        if( CV_IS_MATND(mat) )
        {
            void* matnd = (void*)mat;
            CvMatND nstub;
            CvNArrayIterator iterator;
            int pass_hint;

            CV_CALL( cvInitNArrayIterator( 1, &matnd, 0, &nstub, &iterator ));

            type = CV_MAT_TYPE(iterator.hdr[0]->type);
            if( CV_MAT_CN(type) > 4 )
                CV_ERROR( CV_StsOutOfRange, "The input array must have at most 4 channels" );

            pass_hint = CV_MAT_DEPTH(type) == CV_32F;

            if( !pass_hint )
            {
                CvFunc2D_1A1P func = (CvFunc2D_1A1P)(sum_tab.fn_2d[type]);
                if( !func )
                    CV_ERROR( CV_StsUnsupportedFormat, "" );
       
                do
                {
                    CvScalar temp = {{0,0,0,0}};
                    IPPI_CALL( func( iterator.ptr[0], CV_STUB_STEP,
                                     iterator.size, temp.val ));
                    sum.val[0] += temp.val[0];
                    sum.val[1] += temp.val[1];
                    sum.val[2] += temp.val[2];
                    sum.val[3] += temp.val[3];
                }
                while( cvNextNArraySlice( &iterator ));
            }
            else
            {
                CvFunc2D_1A1P1I func = (CvFunc2D_1A1P1I)(sum_tab.fn_2d[type]);
                if( !func )
                    CV_ERROR( CV_StsUnsupportedFormat, "" );
       
                do
                {
                    CvScalar temp = {{0,0,0,0}};
                    IPPI_CALL( func( iterator.ptr[0], CV_STUB_STEP,
                                     iterator.size, temp.val, cvAlgHintAccurate ));
                    sum.val[0] += temp.val[0];
                    sum.val[1] += temp.val[1];
                    sum.val[2] += temp.val[2];
                    sum.val[3] += temp.val[3];
                }
                while( cvNextNArraySlice( &iterator ));
            }
            EXIT;
        }
        else
            CV_CALL( mat = cvGetMat( mat, &stub, &coi ));
    }

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

    mat_step = mat->step;

    if( CV_IS_MAT_CONT( mat->type ))
    {
        size.width *= size.height;
        
        if( size.width <= CV_MAX_INLINE_MAT_OP_SIZE )
        {
            if( type == CV_32FC1 )
            {
                float* data = mat->data.fl;

                do
                {
                    sum.val[0] += data[size.width - 1];
                }
                while( --size.width );

                EXIT;
            }

            if( type == CV_64FC1 )
            {
                double* data = mat->data.db;

                do
                {
                    sum.val[0] += data[size.width - 1];
                }
                while( --size.width );

                EXIT;
            }
        }
        size.height = 1;
        mat_step = CV_STUB_STEP;