コード例 #1
0
CV_IMPL int
cvSampleLine( const void* img, CvPoint pt1, CvPoint pt2,
              void* _buffer, int connectivity )
{
    int count = -1;
    
    CV_FUNCNAME( "cvSampleLine" );

    __BEGIN__;
    
    int i, coi = 0, pix_size;
    CvMat stub, *mat = (CvMat*)img;
    CvLineIterator iterator;
    uchar* buffer = (uchar*)_buffer;

    CV_CALL( mat = cvGetMat( mat, &stub, &coi ));

    if( coi != 0 )
        CV_ERROR( CV_BadCOI, "" );

    if( !buffer )
        CV_ERROR( CV_StsNullPtr, "" );

    CV_CALL( count = cvInitLineIterator( mat, pt1, pt2, &iterator, connectivity ));

    pix_size = CV_ELEM_SIZE(mat->type);
    for( i = 0; i < count; i++ )
    {
        CV_MEMCPY_AUTO( buffer, iterator.ptr, pix_size );
        buffer += pix_size;
        CV_NEXT_LINE_POINT( iterator );
    }

    __END__;

    return count;
}
コード例 #2
0
ファイル: cxcopy.cpp プロジェクト: allanca/otterdive
/* dst = src */
CV_IMPL void
cvCopy( const void* srcarr, void* dstarr, const void* maskarr )
{
    if( CV_IS_SPARSE_MAT(srcarr) && CV_IS_SPARSE_MAT(dstarr))
    {
        CV_Assert( maskarr == 0 );
        CvSparseMat* src1 = (CvSparseMat*)srcarr;
        CvSparseMat* dst1 = (CvSparseMat*)dstarr;
        CvSparseMatIterator iterator;
        CvSparseNode* node;

        dst1->dims = src1->dims;
        memcpy( dst1->size, src1->size, src1->dims*sizeof(src1->size[0]));
        dst1->valoffset = src1->valoffset;
        dst1->idxoffset = src1->idxoffset;
        cvClearSet( dst1->heap );

        if( src1->heap->active_count >= dst1->hashsize*CV_SPARSE_HASH_RATIO )
        {
            cvFree( &dst1->hashtable );
            dst1->hashsize = src1->hashsize;
            dst1->hashtable =
                (void**)cvAlloc( dst1->hashsize*sizeof(dst1->hashtable[0]));
        }

        memset( dst1->hashtable, 0, dst1->hashsize*sizeof(dst1->hashtable[0]));

        for( node = cvInitSparseMatIterator( src1, &iterator );
             node != 0; node = cvGetNextSparseNode( &iterator ))
        {
            CvSparseNode* node_copy = (CvSparseNode*)cvSetNew( dst1->heap );
            int tabidx = node->hashval & (dst1->hashsize - 1);
            CV_MEMCPY_AUTO( node_copy, node, dst1->heap->elem_size );
            node_copy->next = (CvSparseNode*)dst1->hashtable[tabidx];
            dst1->hashtable[tabidx] = node_copy;
        }
        return;
    }
    cv::Mat src = cv::cvarrToMat(srcarr, false, true, 1), dst = cv::cvarrToMat(dstarr, false, true, 1);
    CV_Assert( src.depth() == dst.depth() && src.size() == dst.size() );
    
    int coi1 = 0, coi2 = 0;
    if( CV_IS_IMAGE(srcarr) )
        coi1 = cvGetImageCOI((const IplImage*)srcarr);
    if( CV_IS_IMAGE(dstarr) )
        coi2 = cvGetImageCOI((const IplImage*)dstarr);
    
    if( coi1 || coi2 )
    {
        CV_Assert( (coi1 != 0 || src.channels() == 1) &&
            (coi2 != 0 || dst.channels() == 1) );
        
        int pair[] = { std::max(coi1-1, 0), std::max(coi2-1, 0) };
        cv::mixChannels( &src, 1, &dst, 1, pair, 1 );
        return;
    }
    else
        CV_Assert( src.channels() == dst.channels() );
    
    if( !maskarr )
        src.copyTo(dst);
    else
        src.copyTo(dst, cv::cvarrToMat(maskarr));
}