mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 04:00:30 +08:00
fixed some errors
This commit is contained in:
Ilya Lavrenov
parent
ce0941160e
commit
6f9ca3d77c
@ -939,7 +939,7 @@ void convertAndUnrollScalar( const Mat& sc, int buftype, uchar* scbuf, size_t bl
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{
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int scn = (int)sc.total(), cn = CV_MAT_CN(buftype);
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size_t esz = CV_ELEM_SIZE(buftype);
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getConvertFunc(sc.depth(), buftype)(sc.data, 0, 0, 0, scbuf, 0, Size(std::min(cn, scn), 1), 0);
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getConvertFunc(sc.depth(), buftype)(sc.data, 1, 0, 1, scbuf, 1, Size(std::min(cn, scn), 1), 0);
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// unroll the scalar
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if( scn < cn )
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{
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@ -1628,33 +1628,33 @@ static void arithm_op(InputArray _src1, InputArray _src2, OutputArray _dst,
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uchar* dptr = ptrs[2];
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if( cvtsrc1 )
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{
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cvtsrc1( sptr1, 0, 0, 0, buf1, 0, bszn, 0 );
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cvtsrc1( sptr1, 1, 0, 1, buf1, 1, bszn, 0 );
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sptr1 = buf1;
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}
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if( ptrs[0] == ptrs[1] )
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sptr2 = sptr1;
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else if( cvtsrc2 )
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{
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cvtsrc2( sptr2, 0, 0, 0, buf2, 0, bszn, 0 );
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cvtsrc2( sptr2, 1, 0, 1, buf2, 1, bszn, 0 );
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sptr2 = buf2;
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}
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if( !haveMask && !cvtdst )
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func( sptr1, 0, sptr2, 0, dptr, 0, bszn, usrdata );
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func( sptr1, 1, sptr2, 1, dptr, 1, bszn, usrdata );
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else
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{
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func( sptr1, 0, sptr2, 0, wbuf, 0, bszn, usrdata );
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func( sptr1, 1, sptr2, 1, wbuf, 0, bszn, usrdata );
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if( !haveMask )
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cvtdst( wbuf, 0, 0, 0, dptr, 0, bszn, 0 );
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cvtdst( wbuf, 1, 0, 1, dptr, 1, bszn, 0 );
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else if( !cvtdst )
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{
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copymask( wbuf, 0, ptrs[3], 0, dptr, 0, Size(bsz, 1), &dsz );
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copymask( wbuf, 1, ptrs[3], 1, dptr, 1, Size(bsz, 1), &dsz );
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ptrs[3] += bsz;
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}
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else
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{
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cvtdst( wbuf, 0, 0, 0, maskbuf, 0, bszn, 0 );
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copymask( maskbuf, 0, ptrs[3], 0, dptr, 0, Size(bsz, 1), &dsz );
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cvtdst( wbuf, 1, 0, 1, maskbuf, 1, bszn, 0 );
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copymask( maskbuf, 1, ptrs[3], 1, dptr, 1, Size(bsz, 1), &dsz );
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ptrs[3] += bsz;
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}
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}
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@ -1695,7 +1695,7 @@ static void arithm_op(InputArray _src1, InputArray _src2, OutputArray _dst,
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if( cvtsrc1 )
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{
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cvtsrc1( sptr1, 0, 0, 0, buf1, 0, bszn, 0 );
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cvtsrc1( sptr1, 1, 0, 1, buf1, 1, bszn, 0 );
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sptr1 = buf1;
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}
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@ -1703,21 +1703,21 @@ static void arithm_op(InputArray _src1, InputArray _src2, OutputArray _dst,
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std::swap(sptr1, sptr2);
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if( !haveMask && !cvtdst )
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func( sptr1, 0, sptr2, 0, dptr, 0, bszn, usrdata );
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func( sptr1, 1, sptr2, 1, dptr, 1, bszn, usrdata );
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else
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{
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func( sptr1, 0, sptr2, 0, wbuf, 0, bszn, usrdata );
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func( sptr1, 1, sptr2, 1, wbuf, 1, bszn, usrdata );
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if( !haveMask )
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cvtdst( wbuf, 0, 0, 0, dptr, 0, bszn, 0 );
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cvtdst( wbuf, 1, 0, 1, dptr, 1, bszn, 0 );
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else if( !cvtdst )
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{
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copymask( wbuf, 0, ptrs[2], 0, dptr, 0, Size(bsz, 1), &dsz );
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copymask( wbuf, 1, ptrs[2], 1, dptr, 1, Size(bsz, 1), &dsz );
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ptrs[2] += bsz;
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}
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else
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{
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cvtdst( wbuf, 0, 0, 0, maskbuf, 0, bszn, 0 );
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copymask( maskbuf, 0, ptrs[2], 0, dptr, 0, Size(bsz, 1), &dsz );
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cvtdst( wbuf, 1, 0, 1, maskbuf, 1, bszn, 0 );
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copymask( maskbuf, 1, ptrs[2], 1, dptr, 1, Size(bsz, 1), &dsz );
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ptrs[2] += bsz;
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}
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}
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@ -2712,7 +2712,7 @@ static bool ocl_compare(InputArray _src1, InputArray _src2, OutputArray _dst, in
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else
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{
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double fval = 0;
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getConvertFunc(depth2, CV_64F)(src2.data, 0, 0, 0, (uchar *)&fval, 0, Size(1, 1), 0);
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getConvertFunc(depth2, CV_64F)(src2.data, 1, 0, 1, (uchar *)&fval, 1, Size(1, 1), 0);
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if( fval < getMinVal(depth1) )
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return dst.setTo(Scalar::all(op == CMP_GT || op == CMP_GE || op == CMP_NE ? 255 : 0)), true;
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@ -2833,7 +2833,7 @@ void cv::compare(InputArray _src1, InputArray _src2, OutputArray _dst, int op)
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else
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{
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double fval=0;
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getConvertFunc(depth2, CV_64F)(src2.data, 0, 0, 0, (uchar*)&fval, 0, Size(1,1), 0);
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getConvertFunc(depth2, CV_64F)(src2.data, 1, 0, 1, (uchar*)&fval, 1, Size(1,1), 0);
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if( fval < getMinVal(depth1) )
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{
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dst = Scalar::all(op == CMP_GT || op == CMP_GE || op == CMP_NE ? 255 : 0);
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@ -3060,8 +3060,8 @@ static bool ocl_inRange( InputArray _src, InputArray _lowerb,
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int* iubuf = ilbuf + cn;
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BinaryFunc sccvtfunc = getConvertFunc(ldepth, CV_32S);
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sccvtfunc(lscalar.data, 0, 0, 0, (uchar*)ilbuf, 0, Size(cn, 1), 0);
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sccvtfunc(uscalar.data, 0, 0, 0, (uchar*)iubuf, 0, Size(cn, 1), 0);
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sccvtfunc(lscalar.data, 1, 0, 1, (uchar*)ilbuf, 1, Size(cn, 1), 0);
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sccvtfunc(uscalar.data, 1, 0, 1, (uchar*)iubuf, 1, Size(cn, 1), 0);
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int minval = cvRound(getMinVal(sdepth)), maxval = cvRound(getMaxVal(sdepth));
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for( int k = 0; k < cn; k++ )
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@ -3171,8 +3171,8 @@ void cv::inRange(InputArray _src, InputArray _lowerb,
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int* iubuf = ilbuf + cn;
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BinaryFunc sccvtfunc = getConvertFunc(scdepth, CV_32S);
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sccvtfunc(lb.data, 0, 0, 0, (uchar*)ilbuf, 0, Size(cn, 1), 0);
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sccvtfunc(ub.data, 0, 0, 0, (uchar*)iubuf, 0, Size(cn, 1), 0);
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sccvtfunc(lb.data, 1, 0, 1, (uchar*)ilbuf, 1, Size(cn, 1), 0);
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sccvtfunc(ub.data, 1, 0, 1, (uchar*)iubuf, 1, Size(cn, 1), 0);
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int minval = cvRound(getMinVal(depth)), maxval = cvRound(getMaxVal(depth));
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for( int k = 0; k < cn; k++ )
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@ -2223,14 +2223,6 @@ void cv::scaleAdd( InputArray _src1, double alpha, InputArray _src2, OutputArray
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if (src1.isContinuous() && src2.isContinuous() && dst.isContinuous())
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{
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size_t len = src1.total()*cn;
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#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
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if (depth == CV_32F &&
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ippmSaxpy_vava_32f((const Ipp32f *)src1.data, (int)src1.step, sizeof(Ipp32f), falpha,
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(const Ipp32f *)src2.data, (int)src2.step, sizeof(Ipp32f),
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(Ipp32f *)dst.data, (int)dst.step, sizeof(Ipp32f), (int)len, 1) >= 0)
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return;
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setIppErrorStatus();
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#endif
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func(src1.data, src2.data, dst.data, (int)len, palpha);
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return;
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}
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@ -201,7 +201,7 @@ static bool IPPDerivScharr(const Mat& src, Mat& dst, int ddepth, int dx, int dy,
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switch(src.type())
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{
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case CV_8U:
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case CV_8UC1:
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{
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if(scale != 1)
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return false;
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@ -232,14 +232,14 @@ static bool IPPDerivScharr(const Mat& src, Mat& dst, int ddepth, int dx, int dy,
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return false;
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}
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}
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case CV_32F:
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case CV_32FC1:
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#if defined(HAVE_IPP_ICV_ONLY) // N/A: ippiMulC_32f_C1R
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return false;
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#else
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{
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switch(dst.type())
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{
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case CV_32F:
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case CV_32FC1:
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{
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if ((dx == 1) && (dy == 0))
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{
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@ -289,67 +289,64 @@ static bool IPPDerivScharr(const Mat& src, Mat& dst, int ddepth, int dx, int dy,
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static bool IPPDeriv(const Mat& src, Mat& dst, int ddepth, int dx, int dy, int ksize, double scale)
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{
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int bufSize = 0;
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int stype = src.type(), dtype = dst.type(), bufSize = 0;
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cv::AutoBuffer<char> buffer;
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if (ksize == 3 || ksize == 5)
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{
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if ( ddepth < 0 )
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ddepth = src.depth();
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if (src.type() == CV_8U && dst.type() == CV_16S && scale == 1)
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if (stype == CV_8UC1 && dtype == CV_16SC1 && scale == 1)
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{
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if ((dx == 1) && (dy == 0))
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if (dx == 1 && dy == 0)
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{
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if (0 > ippiFilterSobelNegVertGetBufferSize_8u16s_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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buffer.allocate(bufSize);
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return (0 <= ippiFilterSobelNegVertBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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return 0 <= ippiFilterSobelNegVertBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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(Ipp16s*)dst.data, (int)dst.step, ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer));
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer);
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}
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if ((dx == 0) && (dy == 1))
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if (dx == 0 && dy == 1)
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{
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if (0 > ippiFilterSobelHorizGetBufferSize_8u16s_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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buffer.allocate(bufSize);
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return (0 <= ippiFilterSobelHorizBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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return 0 <= ippiFilterSobelHorizBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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(Ipp16s*)dst.data, (int)dst.step, ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer));
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer);
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}
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if ((dx == 2) && (dy == 0))
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if (dx == 2 && dy == 0)
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{
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if (0 > ippiFilterSobelVertSecondGetBufferSize_8u16s_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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buffer.allocate(bufSize);
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return (0 <= ippiFilterSobelVertSecondBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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return 0 <= ippiFilterSobelVertSecondBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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(Ipp16s*)dst.data, (int)dst.step, ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer));
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer);
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}
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if ((dx == 0) && (dy == 2))
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if (dx == 0 && dy == 2)
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{
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if (0 > ippiFilterSobelHorizSecondGetBufferSize_8u16s_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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buffer.allocate(bufSize);
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return (0 <= ippiFilterSobelHorizSecondBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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return 0 <= ippiFilterSobelHorizSecondBorder_8u16s_C1R((const Ipp8u*)src.data, (int)src.step,
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(Ipp16s*)dst.data, (int)dst.step, ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer));
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ippBorderRepl, 0, (Ipp8u*)(char*)buffer);
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}
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}
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if (src.type() == CV_32F && dst.type() == CV_32F)
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if (stype == CV_32FC1 && dtype == CV_32FC1)
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{
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#if defined(HAVE_IPP_ICV_ONLY) // N/A: ippiMulC_32f_C1R
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return false;
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#else
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#if 0
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if ((dx == 1) && (dy == 0))
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if (dx == 1 && dy == 0)
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{
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if (0 > ippiFilterSobelNegVertGetBufferSize_32f_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize), &bufSize))
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return false;
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@ -366,7 +363,7 @@ static bool IPPDeriv(const Mat& src, Mat& dst, int ddepth, int dx, int dy, int k
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return true;
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}
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if ((dx == 0) && (dy == 1))
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if (dx == 0 && dy == 1)
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{
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if (0 > ippiFilterSobelHorizGetBufferSize_32f_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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@ -384,7 +381,7 @@ static bool IPPDeriv(const Mat& src, Mat& dst, int ddepth, int dx, int dy, int k
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}
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#endif
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if((dx == 2) && (dy == 0))
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if(dx == 2 && dy == 0)
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{
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if (0 > ippiFilterSobelVertSecondGetBufferSize_32f_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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@ -401,7 +398,7 @@ static bool IPPDeriv(const Mat& src, Mat& dst, int ddepth, int dx, int dy, int k
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return true;
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}
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if((dx == 0) && (dy == 2))
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if(dx == 0 && dy == 2)
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{
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if (0 > ippiFilterSobelHorizSecondGetBufferSize_32f_C1R(ippiSize(src.cols, src.rows), (IppiMaskSize)(ksize*10+ksize),&bufSize))
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return false;
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@ -422,7 +419,7 @@ static bool IPPDeriv(const Mat& src, Mat& dst, int ddepth, int dx, int dy, int k
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}
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}
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if(ksize <= 0)
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if (ksize <= 0)
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return IPPDerivScharr(src, dst, ddepth, dx, dy, scale);
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return false;
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}
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@ -437,7 +434,8 @@ void cv::Sobel( InputArray _src, OutputArray _dst, int ddepth, int dx, int dy,
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int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype);
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if (ddepth < 0)
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ddepth = sdepth;
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_dst.create( _src.size(), CV_MAKETYPE(ddepth, cn) );
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int dtype = CV_MAKE_TYPE(ddepth, cn);
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_dst.create( _src.size(), dtype );
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if (scale == 1.0 && delta == 0)
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@ -451,12 +449,12 @@ void cv::Sobel( InputArray _src, OutputArray _dst, int ddepth, int dx, int dy,
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#endif
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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if(dx < 3 && dy < 3 && cn == 1 && borderType == BORDER_REPLICATE)
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if (dx < 3 && dy < 3 && cn == 1 && borderType == BORDER_REPLICATE &&
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((stype == CV_8UC1 && dtype == CV_16SC1) || (stype == CV_32FC1 && dtype == CV_32FC1)))
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{
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Mat src = _src.getMat(), dst = _dst.getMat();
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if (IPPDeriv(src, dst, ddepth, dx, dy, ksize,scale))
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return;
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setIppErrorStatus();
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}
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#endif
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int ktype = std::max(CV_32F, std::max(ddepth, sdepth));
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@ -482,7 +480,8 @@ void cv::Scharr( InputArray _src, OutputArray _dst, int ddepth, int dx, int dy,
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int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype);
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if (ddepth < 0)
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ddepth = sdepth;
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_dst.create( _src.size(), CV_MAKETYPE(ddepth, cn) );
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int dtype = CV_MAKETYPE(ddepth, cn);
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_dst.create( _src.size(), dtype );
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if (scale == 1.0 && delta == 0)
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@ -494,7 +493,8 @@ void cv::Scharr( InputArray _src, OutputArray _dst, int ddepth, int dx, int dy,
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#endif
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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if(dx < 2 && dy < 2 && _src.channels() == 1 && borderType == 1)
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if(dx < 2 && dy < 2 && borderType == BORDER_REPLICATE &&
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((stype == CV_8UC1 && dtype == CV_16SC1) || (stype == CV_32FC1 && dtype == CV_32FC1)))
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{
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Mat src = _src.getMat(), dst = _dst.getMat();
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if(IPPDerivScharr(src, dst, ddepth, dx, dy, scale))
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