count.exe 中的 0x5e7a87a1 (cxcore200.dll) 处未处理的异常: 0xC0000005: 读取位置 0xcccccccc 时发生

/*M///////////////////////////////////////////////////////////////////////////////////////
/****************************************************************************************\
*                             Conversion to CvMat or IplImage                            *
\****************************************************************************************/

// convert array (CvMat or IplImage) to CvMat
CV_IMPL CvMat*
cvGetMat( const CvArr* array, CvMat* mat,
          int* pCOI, int allowND )
{
    CvMat* result = 0;
    CvMat* src = (CvMat*)array;
    int coi = 0;

    if( !mat || !src )
        CV_Error( CV_StsNullPtr, "NULL array pointer is passed" );

    if( CV_IS_MAT_HDR(src))
    {
        if( !src->data.ptr )
            CV_Error( CV_StsNullPtr, "The matrix has NULL data pointer" );
        
        result = (CvMat*)src;
    }
    else if( CV_IS_IMAGE_HDR(src) )
    {
        const IplImage* img = (const IplImage*)src;
        int depth, order;

        if( img->imageData == 0 )
            CV_Error( CV_StsNullPtr, "The image has NULL data pointer" );

        depth = IplToCvDepth( img->depth );
        if( depth < 0 )
            CV_Error( CV_BadDepth, "" );

        order = img->dataOrder & (img->nChannels > 1 ? -1 : 0);

        if( img->roi )
        {
            if( order == IPL_DATA_ORDER_PLANE )
            {
                int type = depth;

                if( img->roi->coi == 0 )
                    CV_Error( CV_StsBadFlag,
                    "Images with planar data layout should be used with COI selected" );

                cvInitMatHeader( mat, img->roi->height,
                                img->roi->width, type,
                                img->imageData + (img->roi->coi-1)*img->imageSize +
                                img->roi->yOffset*img->widthStep +
                                img->roi->xOffset*CV_ELEM_SIZE(type),
                                img->widthStep );
            }
            else /* pixel order */
            {
                int type = CV_MAKETYPE( depth, img->nChannels );
                coi = img->roi->coi;

                if( img->nChannels > CV_CN_MAX )
                    CV_Error( CV_BadNumChannels,
                        "The image is interleaved and has over CV_CN_MAX channels" );

                cvInitMatHeader( mat, img->roi->height, img->roi->width,
                                 type, img->imageData +
                                 img->roi->yOffset*img->widthStep +
                                 img->roi->xOffset*CV_ELEM_SIZE(type),
                                 img->widthStep );
            }
        }
        else
        {
            int type = CV_MAKETYPE( depth, img->nChannels );

            if( order != IPL_DATA_ORDER_PIXEL )
                CV_Error( CV_StsBadFlag, "Pixel order should be used with coi == 0" );

            cvInitMatHeader( mat, img->height, img->width, type,
                             img->imageData, img->widthStep );
        }

        result = mat;
    }
    else if( allowND && CV_IS_MATND_HDR(src) )
    {
        CvMatND* matnd = (CvMatND*)src;
        int i;
        int size1 = matnd->dim[0].size, size2 = 1;
        
        if( !src->data.ptr )
            CV_Error( CV_StsNullPtr, "Input array has NULL data pointer" );

        if( !CV_IS_MAT_CONT( matnd->type ))
            CV_Error( CV_StsBadArg, "Only continuous nD arrays are supported here" );

        if( matnd->dims > 2 )
            for( i = 1; i < matnd->dims; i++ )
                size2 *= matnd->dim[i].size;
        else
            size2 = matnd->dims == 1 ? 1 : matnd->dim[1].size;

        mat->refcount = 0;
        mat->hdr_refcount = 0;
        mat->data.ptr = matnd->data.ptr;
        mat->rows = size1;
        mat->cols = size2;
        mat->type = CV_MAT_TYPE(matnd->type) | CV_MAT_MAGIC_VAL | CV_MAT_CONT_FLAG;
        mat->step = size2*CV_ELEM_SIZE(matnd->type);
        mat->step &= size1 > 1 ? -1 : 0;

        icvCheckHuge( mat );
        result = mat;
    }
    else
        CV_Error( CV_StsBadFlag, "Unrecognized or unsupported array type" );

    if( pCOI )
        *pCOI = coi;

    return result;
}


CV_IMPL CvArr*
cvReshapeMatND( const CvArr* arr,
                int sizeof_header, CvArr* _header,
                int new_cn, int new_dims, int* new_sizes )
{
    CvArr* result = 0;
    int dims, coi = 0;

    if( !arr || !_header )
        CV_Error( CV_StsNullPtr, "NULL pointer to array or destination header" );

    if( new_cn == 0 && new_dims == 0 )
        CV_Error( CV_StsBadArg, "None of array parameters is changed: dummy call?" );

    dims = cvGetDims( arr );

    if( new_dims == 0 )
    {
        new_sizes = 0;
        new_dims = dims;
    }
    else if( new_dims == 1 )
    {
        new_sizes = 0;
    }
    else
    {
        if( new_dims <= 0 || new_dims > CV_MAX_DIM )
            CV_Error( CV_StsOutOfRange, "Non-positive or too large number of dimensions" );
        if( !new_sizes )
            CV_Error( CV_StsNullPtr, "New dimension sizes are not specified" );
    }

    if( new_dims <= 2 )
    {
        CvMat* mat = (CvMat*)arr;
        CvMat* header = (CvMat*)_header;
        int* refcount = 0;
        int  hdr_refcount = 0;
        int  total_width, new_rows, cn;

        if( sizeof_header != sizeof(CvMat))
            CV_Error( CV_StsBadArg, "The header should be CvMat" );

        if( mat == header )
        {
            refcount = mat->refcount;
            hdr_refcount = mat->hdr_refcount;
        }
        else if( !CV_IS_MAT( mat ))
            mat = cvGetMat( mat, header, &coi, 1 );

        cn = CV_MAT_CN( mat->type );
        total_width = mat->cols * cn;

        if( new_cn == 0 )
            new_cn = cn;

        if( new_sizes )
            new_rows = new_sizes[0];
        else if( new_dims == 1 )
            new_rows = total_width*mat->rows/new_cn;
        else
        {
            new_rows = mat->rows;
            if( new_cn > total_width )
                new_rows = mat->rows * total_width / new_cn;
        }

        if( new_rows != mat->rows )
        {
            int total_size = total_width * mat->rows;

            if( !CV_IS_MAT_CONT( mat->type ))
                CV_Error( CV_BadStep,
                "The matrix is not continuous so the number of rows can not be changed" );

            total_width = total_size / new_rows;

            if( total_width * new_rows != total_size )
                CV_Error( CV_StsBadArg, "The total number of matrix elements "
                                        "is not divisible by the new number of rows" );
        }

        header->rows = new_rows;
        header->cols = total_width / new_cn;

        if( header->cols * new_cn != total_width ||
            (new_sizes && header->cols != new_sizes[1]) )
            CV_Error( CV_StsBadArg, "The total matrix width is not "
                            "divisible by the new number of columns" );

        header->type = (mat->type & ~CV_MAT_TYPE_MASK) | CV_MAKETYPE(mat->type, new_cn);
        header->step = header->cols * CV_ELEM_SIZE(mat->type);
        header->step &= new_rows > 1 ? -1 : 0;
        header->refcount = refcount;
        header->hdr_refcount = hdr_refcount;
    }
    else
    {
        CvMatND* header = (CvMatND*)_header;

        if( sizeof_header != sizeof(CvMatND))
            CV_Error( CV_StsBadSize, "The header should be CvMatND" );
        
        if( !new_sizes )
        {
            if( !CV_IS_MATND( arr ))
                CV_Error( CV_StsBadArg, "The source array must be CvMatND" );

            {
            CvMatND* mat = (CvMatND*)arr;
            assert( new_cn > 0 );
            int last_dim_size = mat->dim[mat->dims-1].size*CV_MAT_CN(mat->type);
            int new_size = last_dim_size/new_cn;

            if( new_size*new_cn != last_dim_size )
                CV_Error( CV_StsBadArg,
                "The last dimension full size is not divisible by new number of channels");

            if( mat != header )
            {
                memcpy( header, mat, sizeof(*header));
                header->refcount = 0;
                header->hdr_refcount = 0;
            }

            header->dim[header->dims-1].size = new_size;
            header->type = (header->type & ~CV_MAT_TYPE_MASK) | CV_MAKETYPE(header->type, new_cn);
            }
        }
        else
        {
            CvMatND stub;
            CvMatND* mat = (CvMatND*)arr;
            int i, size1, size2;
            int step;
            
            if( new_cn != 0 )
                CV_Error( CV_StsBadArg,
                "Simultaneous change of shape and number of channels is not supported. "
                "Do it by 2 separate calls" );
            
            if( !CV_IS_MATND( mat ))
            {
                cvGetMatND( mat, &stub, &coi );
                mat = &stub;
            }

            if( CV_IS_MAT_CONT( mat->type ))
                CV_Error( CV_StsBadArg, "Non-continuous nD arrays are not supported" );

            size1 = mat->dim[0].size;
            for( i = 1; i < dims; i++ )
                size1 *= mat->dim[i].size;

            size2 = 1;
            for( i = 0; i < new_dims; i++ )
            {
                if( new_sizes[i] <= 0 )
                    CV_Error( CV_StsBadSize,
                    "One of new dimension sizes is non-positive" );
                size2 *= new_sizes[i];
            }

            if( size1 != size2 )
                CV_Error( CV_StsBadSize,
                "Number of elements in the original and reshaped array is different" );

            if( header != mat )
            {
                header->refcount = 0;
                header->hdr_refcount = 0;
            }

            header->dims = new_dims;
            header->type = mat->type;
            header->data.ptr = mat->data.ptr;
            step = CV_ELEM_SIZE(header->type);

            for( i = new_dims - 1; i >= 0; i-- )
            {
                header->dim[i].size = new_sizes[i];
                header->dim[i].step = step;
                step *= new_sizes[i];
            }
        }
    }

    if( !coi )
        CV_Error( CV_BadCOI, "COI is not supported by this operation" );

    result = _header;
    return result;
}


CV_IMPL CvMat*
cvReshape( const CvArr* array, CvMat* header,
           int new_cn, int new_rows )
{
    CvMat* result = 0;
    CvMat *mat = (CvMat*)array;
    int total_width, new_width;

    if( !header )
        CV_Error( CV_StsNullPtr, "" );

    if( !CV_IS_MAT( mat ))
    {
        int coi = 0;
        mat = cvGetMat( mat, header, &coi, 1 );
        if( coi )
            CV_Error( CV_BadCOI, "COI is not supported" );
    }

    if( new_cn == 0 )
        new_cn = CV_MAT_CN(mat->type);
    else if( (unsigned)(new_cn - 1) > 3 )
        CV_Error( CV_BadNumChannels, "" );

    if( mat != header )
    {
        int hdr_refcount = header->hdr_refcount;
        *header = *mat;
        header->refcount = 0;
        header->hdr_refcount = hdr_refcount;
    }

    total_width = mat->cols * CV_MAT_CN( mat->type );

    if( (new_cn > total_width || total_width % new_cn != 0) && new_rows == 0 )
        new_rows = mat->rows * total_width / new_cn;

    if( new_rows == 0 || new_rows == mat->rows )
    {
        header->rows = mat->rows;
        header->step = mat->step;
    }
    else
    {
        int total_size = total_width * mat->rows;
        if( !CV_IS_MAT_CONT( mat->type ))
            CV_Error( CV_BadStep,
            "The matrix is not continuous, thus its number of rows can not be changed" );

        if( (unsigned)new_rows > (unsigned)total_size )
            CV_Error( CV_StsOutOfRange, "Bad new number of rows" );

        total_width = total_size / new_rows;

        if( total_width * new_rows != total_size )
            CV_Error( CV_StsBadArg, "The total number of matrix elements "
                                    "is not divisible by the new number of rows" );

        header->rows = new_rows;
        header->step = total_width * CV_ELEM_SIZE1(mat->type);
    }

    new_width = total_width / new_cn;

    if( new_width * new_cn != total_width )
        CV_Error( CV_BadNumChannels,
        "The total width is not divisible by the new number of channels" );

    header->cols = new_width;
    header->type = (mat->type  & ~CV_MAT_TYPE_MASK) | CV_MAKETYPE(mat->type, new_cn);

    result = header;
    return  result;
}


// convert array (CvMat or IplImage) to IplImage
CV_IMPL IplImage*
cvGetImage( const CvArr* array, IplImage* img )
{
    IplImage* result = 0;
    const IplImage* src = (const IplImage*)array;
    int depth;

    if( !img )
        CV_Error( CV_StsNullPtr, "" );

    if( !CV_IS_IMAGE_HDR(src) )
    {
        const CvMat* mat = (const CvMat*)src;
        
        if( !CV_IS_MAT_HDR(mat))
            CV_Error( CV_StsBadFlag, "" );

        if( mat->data.ptr == 0 )
            CV_Error( CV_StsNullPtr, "" );

        depth = cvIplDepth(mat->type);

        cvInitImageHeader( img, cvSize(mat->cols, mat->rows),
                           depth, CV_MAT_CN(mat->type) );
        cvSetData( img, mat->data.ptr, mat->step );

        result = img;
    }
    else
    {
        result = (IplImage*)src;
    }

    return result;
}