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Merge pull request #1387 from vpisarev:ipp_imgwarp
This commit is contained in:
commit
cb0fc230f1
@ -50,9 +50,73 @@
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#include <iostream>
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#include <vector>
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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static IppStatus sts = ippInit();
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#endif
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namespace cv
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{
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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typedef IppStatus (CV_STDCALL* ippiSetFunc)(const void*, void *, int, IppiSize);
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typedef IppStatus (CV_STDCALL* ippiWarpPerspectiveBackFunc)(const void*, IppiSize, int, IppiRect, void *, int, IppiRect, double [3][3], int);
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typedef IppStatus (CV_STDCALL* ippiWarpAffineBackFunc)(const void*, IppiSize, int, IppiRect, void *, int, IppiRect, double [2][3], int);
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typedef IppStatus (CV_STDCALL* ippiResizeSqrPixelFunc)(const void*, IppiSize, int, IppiRect, void*, int, IppiRect, double, double, double, double, int, Ipp8u *);
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template <int channels, typename Type>
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bool IPPSetSimple(cv::Scalar value, void *dataPointer, int step, IppiSize &size, ippiSetFunc func)
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{
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Type values[channels];
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for( int i = 0; i < channels; i++ )
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values[i] = (Type)value[i];
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return func(values, dataPointer, step, size) >= 0;
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}
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bool IPPSet(const cv::Scalar &value, void *dataPointer, int step, IppiSize &size, int channels, int depth)
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{
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if( channels == 1 )
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{
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switch( depth )
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{
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case CV_8U:
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return ippiSet_8u_C1R((Ipp8u)value[0], (Ipp8u *)dataPointer, step, size) >= 0;
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case CV_16U:
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return ippiSet_16u_C1R((Ipp16u)value[0], (Ipp16u *)dataPointer, step, size) >= 0;
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case CV_32F:
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return ippiSet_32f_C1R((Ipp32f)value[0], (Ipp32f *)dataPointer, step, size) >= 0;
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}
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}
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else
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{
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if( channels == 3 )
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{
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switch( depth )
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{
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case CV_8U:
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return IPPSetSimple<3, Ipp8u>(value, dataPointer, step, size, (ippiSetFunc)ippiSet_8u_C3R);
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case CV_16U:
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return IPPSetSimple<3, Ipp16u>(value, dataPointer, step, size, (ippiSetFunc)ippiSet_16u_C3R);
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case CV_32F:
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return IPPSetSimple<3, Ipp32f>(value, dataPointer, step, size, (ippiSetFunc)ippiSet_32f_C3R);
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}
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}
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else if( channels == 4 )
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{
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switch( depth )
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{
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case CV_8U:
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return IPPSetSimple<4, Ipp8u>(value, dataPointer, step, size, (ippiSetFunc)ippiSet_8u_C4R);
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case CV_16U:
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return IPPSetSimple<4, Ipp16u>(value, dataPointer, step, size, (ippiSetFunc)ippiSet_16u_C4R);
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case CV_32F:
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return IPPSetSimple<4, Ipp32f>(value, dataPointer, step, size, (ippiSetFunc)ippiSet_32f_C4R);
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}
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}
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}
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return false;
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}
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#endif
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/************** interpolation formulas and tables ***************/
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const int INTER_RESIZE_COEF_BITS=11;
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@ -1604,6 +1668,45 @@ static int computeResizeAreaTab( int ssize, int dsize, int cn, double scale, Dec
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return k;
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}
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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class IPPresizeInvoker :
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public ParallelLoopBody
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{
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public:
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IPPresizeInvoker(Mat &_src, Mat &_dst, double &_inv_scale_x, double &_inv_scale_y, int _mode, ippiResizeSqrPixelFunc _func, bool *_ok) :
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ParallelLoopBody(), src(_src), dst(_dst), inv_scale_x(_inv_scale_x), inv_scale_y(_inv_scale_y), mode(_mode), func(_func), ok(_ok)
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{
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*ok = true;
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}
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virtual void operator() (const Range& range) const
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{
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int cn = src.channels();
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IppiRect srcroi = { 0, range.start, src.cols, range.end - range.start };
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int dsty = CV_IMIN(cvRound(range.start * inv_scale_y), dst.rows);
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int dstwidth = CV_IMIN(cvRound(src.cols * inv_scale_x), dst.cols);
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int dstheight = CV_IMIN(cvRound(range.end * inv_scale_y), dst.rows);
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IppiRect dstroi = { 0, dsty, dstwidth, dstheight - dsty };
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int bufsize;
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ippiResizeGetBufSize( srcroi, dstroi, cn, mode, &bufsize );
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Ipp8u *buf;
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buf = ippsMalloc_8u( bufsize );
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IppStatus sts;
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if( func( src.data, ippiSize(src.cols, src.rows), (int)src.step[0], srcroi, dst.data, (int)dst.step[0], dstroi, inv_scale_x, inv_scale_y, 0, 0, mode, buf ) < 0 )
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*ok = false;
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ippsFree(buf);
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}
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private:
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Mat &src;
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Mat &dst;
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double inv_scale_x;
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double inv_scale_y;
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int mode;
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ippiResizeSqrPixelFunc func;
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bool *ok;
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const IPPresizeInvoker& operator= (const IPPresizeInvoker&);
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};
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#endif
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}
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@ -1746,6 +1849,34 @@ void cv::resize( InputArray _src, OutputArray _dst, Size dsize,
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double scale_x = 1./inv_scale_x, scale_y = 1./inv_scale_y;
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int k, sx, sy, dx, dy;
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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int mode = interpolation == INTER_LINEAR ? IPPI_INTER_LINEAR : 0;
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int type = src.type();
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ippiResizeSqrPixelFunc ippFunc =
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type == CV_8UC1 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_8u_C1R :
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type == CV_8UC3 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_8u_C3R :
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type == CV_8UC4 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_8u_C4R :
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type == CV_16UC1 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_16u_C1R :
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type == CV_16UC3 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_16u_C3R :
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type == CV_16UC4 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_16u_C4R :
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type == CV_16SC1 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_16s_C1R :
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type == CV_16SC3 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_16s_C3R :
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type == CV_16SC4 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_16s_C4R :
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type == CV_32FC1 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_32f_C1R :
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type == CV_32FC3 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_32f_C3R :
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type == CV_32FC4 ? (ippiResizeSqrPixelFunc)ippiResizeSqrPixel_32f_C4R :
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0;
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if( ippFunc && mode != 0 )
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{
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bool ok;
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Range range(0, src.rows);
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IPPresizeInvoker invoker(src, dst, inv_scale_x, inv_scale_y, mode, ippFunc, &ok);
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parallel_for_(range, invoker, dst.total()/(double)(1<<16));
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if( ok )
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return;
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}
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#endif
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if( interpolation == INTER_NEAREST )
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{
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resizeNN( src, dst, inv_scale_x, inv_scale_y );
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@ -3257,6 +3388,49 @@ private:
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double *M;
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};
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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class IPPwarpAffineInvoker :
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public ParallelLoopBody
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{
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public:
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IPPwarpAffineInvoker(Mat &_src, Mat &_dst, double (&_coeffs)[2][3], int &_interpolation, int &_borderType, const Scalar &_borderValue, ippiWarpAffineBackFunc _func, bool *_ok) :
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ParallelLoopBody(), src(_src), dst(_dst), mode(_interpolation), coeffs(_coeffs), borderType(_borderType), borderValue(_borderValue), func(_func), ok(_ok)
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{
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*ok = true;
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}
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virtual void operator() (const Range& range) const
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{
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IppiSize srcsize = { src.cols, src.rows };
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IppiRect srcroi = { 0, 0, src.cols, src.rows };
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IppiRect dstroi = { 0, range.start, dst.cols, range.end - range.start };
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int cnn = src.channels();
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if( borderType == BORDER_CONSTANT )
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{
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IppiSize setSize = { dst.cols, range.end - range.start };
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void *dataPointer = dst.data + dst.step[0] * range.start;
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if( !IPPSet( borderValue, dataPointer, (int)dst.step[0], setSize, cnn, src.depth() ) )
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{
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*ok = false;
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return;
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}
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}
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if( func( src.data, srcsize, (int)src.step[0], srcroi, dst.data, (int)dst.step[0], dstroi, coeffs, mode ) < 0) ////Aug 2013: problem in IPP 7.1, 8.0 : sometimes function return ippStsCoeffErr
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*ok = false;
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}
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private:
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Mat &src;
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Mat &dst;
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double (&coeffs)[2][3];
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int mode;
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int borderType;
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Scalar borderValue;
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ippiWarpAffineBackFunc func;
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bool *ok;
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const IPPwarpAffineInvoker& operator= (const IPPwarpAffineInvoker&);
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};
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#endif
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}
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@ -3303,6 +3477,50 @@ void cv::warpAffine( InputArray _src, OutputArray _dst,
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const int AB_BITS = MAX(10, (int)INTER_BITS);
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const int AB_SCALE = 1 << AB_BITS;
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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int depth = src.depth();
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int channels = src.channels();
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if( ( depth == CV_8U || depth == CV_16U || depth == CV_32F ) &&
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( channels == 1 || channels == 3 || channels == 4 ) &&
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( borderType == cv::BORDER_TRANSPARENT || ( borderType == cv::BORDER_CONSTANT ) ) )
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{
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int type = src.type();
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ippiWarpAffineBackFunc ippFunc =
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type == CV_8UC1 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_8u_C1R :
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type == CV_8UC3 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_8u_C3R :
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type == CV_8UC4 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_8u_C4R :
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type == CV_16UC1 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_16u_C1R :
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type == CV_16UC3 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_16u_C3R :
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type == CV_16UC4 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_16u_C4R :
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type == CV_32FC1 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_32f_C1R :
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type == CV_32FC3 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_32f_C3R :
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type == CV_32FC4 ? (ippiWarpAffineBackFunc)ippiWarpAffineBack_32f_C4R :
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0;
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int mode =
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flags == INTER_LINEAR ? IPPI_INTER_LINEAR :
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flags == INTER_NEAREST ? IPPI_INTER_NN :
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flags == INTER_CUBIC ? IPPI_INTER_CUBIC :
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0;
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if( mode && ippFunc )
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{
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double coeffs[2][3];
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for( int i = 0; i < 2; i++ )
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{
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for( int j = 0; j < 3; j++ )
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{
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coeffs[i][j] = matM.at<double>(i, j);
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}
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}
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bool ok;
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Range range(0, dst.rows);
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IPPwarpAffineInvoker invoker(src, dst, coeffs, mode, borderType, borderValue, ippFunc, &ok);
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parallel_for_(range, invoker, dst.total()/(double)(1<<16));
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if( ok )
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return;
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}
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}
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#endif
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for( x = 0; x < dst.cols; x++ )
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{
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adelta[x] = saturate_cast<int>(M[0]*x*AB_SCALE);
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@ -3410,6 +3628,50 @@ private:
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Scalar borderValue;
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};
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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class IPPwarpPerspectiveInvoker :
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public ParallelLoopBody
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{
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public:
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IPPwarpPerspectiveInvoker(Mat &_src, Mat &_dst, double (&_coeffs)[3][3], int &_interpolation, int &_borderType, const Scalar &_borderValue, ippiWarpPerspectiveBackFunc _func, bool *_ok) :
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ParallelLoopBody(), src(_src), dst(_dst), mode(_interpolation), coeffs(_coeffs), borderType(_borderType), borderValue(_borderValue), func(_func), ok(_ok)
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{
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*ok = true;
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}
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virtual void operator() (const Range& range) const
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{
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IppiSize srcsize = {src.cols, src.rows};
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IppiRect srcroi = {0, 0, src.cols, src.rows};
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IppiRect dstroi = {0, range.start, dst.cols, range.end - range.start};
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int cnn = src.channels();
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if( borderType == BORDER_CONSTANT )
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{
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IppiSize setSize = {dst.cols, range.end - range.start};
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void *dataPointer = dst.data + dst.step[0] * range.start;
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if( !IPPSet( borderValue, dataPointer, (int)dst.step[0], setSize, cnn, src.depth() ) )
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{
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*ok = false;
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return;
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}
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}
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if( func(src.data, srcsize, (int)src.step[0], srcroi, dst.data, (int)dst.step[0], dstroi, coeffs, mode) < 0)
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*ok = false;
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}
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private:
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Mat &src;
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Mat &dst;
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double (&coeffs)[3][3];
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int mode;
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int borderType;
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const Scalar borderValue;
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ippiWarpPerspectiveBackFunc func;
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bool *ok;
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const IPPwarpPerspectiveInvoker& operator= (const IPPwarpPerspectiveInvoker&);
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};
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#endif
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}
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void cv::warpPerspective( InputArray _src, OutputArray _dst, InputArray _M0,
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@ -3440,6 +3702,50 @@ void cv::warpPerspective( InputArray _src, OutputArray _dst, InputArray _M0,
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if( !(flags & WARP_INVERSE_MAP) )
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invert(matM, matM);
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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int depth = src.depth();
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int channels = src.channels();
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if( ( depth == CV_8U || depth == CV_16U || depth == CV_32F ) &&
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( channels == 1 || channels == 3 || channels == 4 ) &&
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( borderType == cv::BORDER_TRANSPARENT || borderType == cv::BORDER_CONSTANT ) )
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{
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int type = src.type();
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ippiWarpPerspectiveBackFunc ippFunc =
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type == CV_8UC1 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_8u_C1R :
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type == CV_8UC3 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_8u_C3R :
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type == CV_8UC4 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_8u_C4R :
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type == CV_16UC1 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_16u_C1R :
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type == CV_16UC3 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_16u_C3R :
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type == CV_16UC4 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_16u_C4R :
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type == CV_32FC1 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_32f_C1R :
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type == CV_32FC3 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_32f_C3R :
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type == CV_32FC4 ? (ippiWarpPerspectiveBackFunc)ippiWarpPerspectiveBack_32f_C4R :
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0;
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int mode =
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flags == INTER_LINEAR ? IPPI_INTER_LINEAR :
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flags == INTER_NEAREST ? IPPI_INTER_NN :
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flags == INTER_CUBIC ? IPPI_INTER_CUBIC :
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0;
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if( mode && ippFunc )
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{
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double coeffs[3][3];
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for( int i = 0; i < 3; i++ )
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{
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for( int j = 0; j < 3; j++ )
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{
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coeffs[i][j] = matM.at<double>(i, j);
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}
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}
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bool ok;
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Range range(0, dst.rows);
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IPPwarpPerspectiveInvoker invoker(src, dst, coeffs, mode, borderType, borderValue, ippFunc, &ok);
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parallel_for_(range, invoker, dst.total()/(double)(1<<16));
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if( ok )
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return;
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}
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}
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#endif
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Range range(0, dst.rows);
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warpPerspectiveInvoker invoker(src, dst, M, interpolation, borderType, borderValue);
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parallel_for_(range, invoker, dst.total()/(double)(1<<16));
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|
@ -1213,11 +1213,10 @@ static bool IPPMorphReplicate(int op, const Mat &src, Mat &dst, const Mat &kerne
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}
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static bool IPPMorphOp(int op, InputArray _src, OutputArray _dst,
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InputArray _kernel,
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const Point &anchor, int iterations,
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const Mat& _kernel, Point anchor, int iterations,
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int borderType, const Scalar &borderValue)
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{
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Mat src = _src.getMat(), kernel = _kernel.getMat();
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Mat src = _src.getMat(), kernel = _kernel;
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if( !( src.depth() == CV_8U || src.depth() == CV_32F ) || ( iterations > 1 ) ||
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!( borderType == cv::BORDER_REPLICATE || (borderType == cv::BORDER_CONSTANT && borderValue == morphologyDefaultBorderValue()) )
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|| !( op == MORPH_DILATE || op == MORPH_ERODE) )
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@ -1248,9 +1247,6 @@ static bool IPPMorphOp(int op, InputArray _src, OutputArray _dst,
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}
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Size ksize = kernel.data ? kernel.size() : Size(3,3);
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Point normanchor = normalizeAnchor(anchor, ksize);
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|
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CV_Assert( normanchor.inside(Rect(0, 0, ksize.width, ksize.height)) );
|
||||
|
||||
_dst.create( src.size(), src.type() );
|
||||
Mat dst = _dst.getMat();
|
||||
@ -1265,7 +1261,7 @@ static bool IPPMorphOp(int op, InputArray _src, OutputArray _dst,
|
||||
if( !kernel.data )
|
||||
{
|
||||
ksize = Size(1+iterations*2,1+iterations*2);
|
||||
normanchor = Point(iterations, iterations);
|
||||
anchor = Point(iterations, iterations);
|
||||
rectKernel = true;
|
||||
iterations = 1;
|
||||
}
|
||||
@ -1273,7 +1269,7 @@ static bool IPPMorphOp(int op, InputArray _src, OutputArray _dst,
|
||||
{
|
||||
ksize = Size(ksize.width + (iterations-1)*(ksize.width-1),
|
||||
ksize.height + (iterations-1)*(ksize.height-1)),
|
||||
normanchor = Point(normanchor.x*iterations, normanchor.y*iterations);
|
||||
anchor = Point(anchor.x*iterations, anchor.y*iterations);
|
||||
kernel = Mat();
|
||||
rectKernel = true;
|
||||
iterations = 1;
|
||||
@ -1283,7 +1279,7 @@ static bool IPPMorphOp(int op, InputArray _src, OutputArray _dst,
|
||||
if( iterations > 1 )
|
||||
return false;
|
||||
|
||||
return IPPMorphReplicate( op, src, dst, kernel, ksize, normanchor, rectKernel );
|
||||
return IPPMorphReplicate( op, src, dst, kernel, ksize, anchor, rectKernel );
|
||||
}
|
||||
#endif
|
||||
|
||||
@ -1292,18 +1288,19 @@ static void morphOp( int op, InputArray _src, OutputArray _dst,
|
||||
Point anchor, int iterations,
|
||||
int borderType, const Scalar& borderValue )
|
||||
{
|
||||
|
||||
#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
|
||||
if( IPPMorphOp(op, _src, _dst, _kernel, anchor, iterations, borderType, borderValue) )
|
||||
return;
|
||||
#endif
|
||||
|
||||
Mat src = _src.getMat(), kernel = _kernel.getMat();
|
||||
Mat kernel = _kernel.getMat();
|
||||
Size ksize = kernel.data ? kernel.size() : Size(3,3);
|
||||
anchor = normalizeAnchor(anchor, ksize);
|
||||
|
||||
CV_Assert( anchor.inside(Rect(0, 0, ksize.width, ksize.height)) );
|
||||
|
||||
#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
|
||||
if( IPPMorphOp(op, _src, _dst, kernel, anchor, iterations, borderType, borderValue) )
|
||||
return;
|
||||
#endif
|
||||
|
||||
Mat src = _src.getMat();
|
||||
|
||||
_dst.create( src.size(), src.type() );
|
||||
Mat dst = _dst.getMat();
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user