added COVAR_ and SORT_ enums to core.hpp; fixed many, many VS2005, VS2010 and MinGW (GCC 4.5.2) warnings
This commit is contained in:
@@ -177,11 +177,12 @@ void add(const Mat& _a, double alpha, const Mat& _b, double beta,
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Mat planes[3], buf[3];
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NAryMatIterator it(arrays, planes);
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int i, nplanes = it.nplanes, cn=a.channels();
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size_t total = planes[0].total(), maxsize = std::min((size_t)12*12*std::max(12/cn, 1), total);
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size_t i, nplanes = it.nplanes;
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int cn=a.channels();
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int total = (int)planes[0].total(), maxsize = std::min(12*12*std::max(12/cn, 1), total);
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CV_Assert(planes[0].rows == 1);
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buf[0].create(1, (int)maxsize, CV_64FC(cn));
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buf[0].create(1, maxsize, CV_64FC(cn));
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if(!b.empty())
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buf[1].create(1, maxsize, CV_64FC(cn));
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buf[2].create(1, maxsize, CV_64FC(cn));
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@@ -189,12 +190,12 @@ void add(const Mat& _a, double alpha, const Mat& _b, double beta,
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for( i = 0; i < nplanes; i++, ++it)
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{
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for( size_t j = 0; j < total; j += maxsize )
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for( int j = 0; j < total; j += maxsize )
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{
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size_t j2 = std::min(j + maxsize, total);
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Mat apart0 = planes[0].colRange((int)j, (int)j2);
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Mat cpart0 = planes[2].colRange((int)j, (int)j2);
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Mat apart = buf[0].colRange(0, (int)(j2 - j));
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int j2 = std::min(j + maxsize, total);
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Mat apart0 = planes[0].colRange(j, j2);
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Mat cpart0 = planes[2].colRange(j, j2);
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Mat apart = buf[0].colRange(0, j2 - j);
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apart0.convertTo(apart, apart.type(), alpha);
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size_t k, n = (j2 - j)*cn;
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@@ -291,7 +292,7 @@ void convert(const Mat& src, Mat& dst, int dtype, double alpha, double beta)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].channels();
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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for( i = 0; i < nplanes; i++, ++it)
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{
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@@ -335,7 +336,7 @@ void copy(const Mat& src, Mat& dst, const Mat& mask, bool invertMask)
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const Mat* arrays[] = {&src, &dst, 0};
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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size_t planeSize = planes[0].total()*src.elemSize();
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for( i = 0; i < nplanes; i++, ++it )
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@@ -351,7 +352,7 @@ void copy(const Mat& src, Mat& dst, const Mat& mask, bool invertMask)
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NAryMatIterator it(arrays, planes);
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size_t j, k, elemSize = src.elemSize(), total = planes[0].total();
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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for( i = 0; i < nplanes; i++, ++it)
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{
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@@ -380,7 +381,7 @@ void set(Mat& dst, const Scalar& gamma, const Mat& mask)
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const Mat* arrays[] = {&dst, 0};
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Mat plane;
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NAryMatIterator it(arrays, &plane);
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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size_t j, k, elemSize = dst.elemSize(), planeSize = plane.total()*elemSize;
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for( k = 1; k < elemSize; k++ )
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@@ -412,7 +413,7 @@ void set(Mat& dst, const Scalar& gamma, const Mat& mask)
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NAryMatIterator it(arrays, planes);
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size_t j, k, elemSize = dst.elemSize(), total = planes[0].total();
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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for( i = 0; i < nplanes; i++, ++it)
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{
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@@ -437,7 +438,7 @@ void insert(const Mat& src, Mat& dst, int coi)
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const Mat* arrays[] = {&src, &dst, 0};
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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size_t j, k, size0 = src.elemSize(), size1 = dst.elemSize(), total = planes[0].total();
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for( i = 0; i < nplanes; i++, ++it )
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@@ -462,7 +463,7 @@ void extract(const Mat& src, Mat& dst, int coi)
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const Mat* arrays[] = {&src, &dst, 0};
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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size_t j, k, size0 = src.elemSize(), size1 = dst.elemSize(), total = planes[0].total();
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for( i = 0; i < nplanes; i++, ++it )
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@@ -546,7 +547,8 @@ void randUni( RNG& rng, Mat& a, const Scalar& param0, const Scalar& param1 )
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Mat plane;
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NAryMatIterator it(arrays, &plane);
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int i, nplanes = it.nplanes, depth = a.depth(), cn = a.channels();
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size_t i, nplanes = it.nplanes;
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int depth = a.depth(), cn = a.channels();
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size_t total = plane.total()*cn;
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for( i = 0; i < nplanes; i++, ++it )
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@@ -1017,7 +1019,7 @@ static void setpos( const Mat& mtx, vector<int>& pos, size_t idx )
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for( int i = mtx.dims-1; i >= 0; i-- )
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{
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int sz = mtx.size[i]*(i == mtx.dims-1 ? mtx.channels() : 1);
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pos[i] = idx % sz;
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pos[i] = (int)(idx % sz);
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idx /= sz;
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}
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}
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@@ -1038,7 +1040,8 @@ void minMaxLoc(const Mat& src, double* _minval, double* _maxval,
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NAryMatIterator it(arrays, planes);
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size_t startidx = 1, total = planes[0].total();
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int i, nplanes = it.nplanes, depth = src.depth();
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size_t i, nplanes = it.nplanes;
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int depth = src.depth();
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double maxval = depth < CV_32F ? INT_MIN : depth == CV_32F ? -FLT_MAX : -DBL_MAX;
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double minval = depth < CV_32F ? INT_MAX : depth == CV_32F ? FLT_MAX : DBL_MAX;
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size_t maxidx = 0, minidx = 0;
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@@ -1220,8 +1223,8 @@ double norm(const Mat& src, int normType, const Mat& mask)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total();
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int i, nplanes = it.nplanes, depth = src.depth();
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int cn = planes[0].channels();
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size_t i, nplanes = it.nplanes;
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int depth = src.depth(), cn = planes[0].channels();
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double result = 0;
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for( i = 0; i < nplanes; i++, ++it )
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@@ -1272,8 +1275,8 @@ double norm(const Mat& src1, const Mat& src2, int normType, const Mat& mask)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total();
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int i, nplanes = it.nplanes, depth = src1.depth();
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int cn = planes[0].channels();
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size_t i, nplanes = it.nplanes;
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int depth = src1.depth(), cn = planes[0].channels();
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double result = 0;
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for( i = 0; i < nplanes; i++, ++it )
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@@ -1332,7 +1335,8 @@ double crossCorr(const Mat& src1, const Mat& src2)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].channels();
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int i, nplanes = it.nplanes, depth = src1.depth();
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size_t i, nplanes = it.nplanes;
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int depth = src1.depth();
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double result = 0;
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for( i = 0; i < nplanes; i++, ++it )
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@@ -1394,14 +1398,14 @@ logicOpS_(const uchar* src, const uchar* scalar, uchar* dst, size_t total, char
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if( c == '&' )
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for( i = 0; i < total; i += blockSize, dst += blockSize, src += blockSize )
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{
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size_t sz = std::min(total - i, blockSize);
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size_t sz = MIN(total - i, blockSize);
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for( j = 0; j < sz; j++ )
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dst[j] = src[j] & scalar[j];
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}
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else if( c == '|' )
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for( i = 0; i < total; i += blockSize, dst += blockSize, src += blockSize )
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{
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size_t sz = std::min(total - i, blockSize);
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size_t sz = MIN(total - i, blockSize);
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for( j = 0; j < sz; j++ )
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dst[j] = src[j] | scalar[j];
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}
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@@ -1409,7 +1413,7 @@ logicOpS_(const uchar* src, const uchar* scalar, uchar* dst, size_t total, char
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{
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for( i = 0; i < total; i += blockSize, dst += blockSize, src += blockSize )
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{
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size_t sz = std::min(total - i, blockSize);
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size_t sz = MIN(total - i, blockSize);
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for( j = 0; j < sz; j++ )
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dst[j] = src[j] ^ scalar[j];
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}
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@@ -1430,7 +1434,7 @@ void logicOp( const Mat& src1, const Mat& src2, Mat& dst, char op )
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].elemSize();
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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for( i = 0; i < nplanes; i++, ++it )
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{
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@@ -1452,9 +1456,9 @@ void logicOp(const Mat& src, const Scalar& s, Mat& dst, char op)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].elemSize();
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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double buf[12];
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scalarToRawData(s, buf, src.type(), 96/planes[0].elemSize1());
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scalarToRawData(s, buf, src.type(), (int)(96/planes[0].elemSize1()));
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for( i = 0; i < nplanes; i++, ++it )
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{
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@@ -1547,7 +1551,8 @@ void compare(const Mat& src1, const Mat& src2, Mat& dst, int cmpop)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total();
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int i, nplanes = it.nplanes, depth = src1.depth();
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size_t i, nplanes = it.nplanes;
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int depth = src1.depth();
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for( i = 0; i < nplanes; i++, ++it )
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{
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@@ -1593,7 +1598,8 @@ void compare(const Mat& src, double value, Mat& dst, int cmpop)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total();
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int i, nplanes = it.nplanes, depth = src.depth();
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size_t i, nplanes = it.nplanes;
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int depth = src.depth();
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int ivalue = saturate_cast<int>(value);
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for( i = 0; i < nplanes; i++, ++it )
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@@ -1721,7 +1727,8 @@ bool cmpUlps(const Mat& src1, const Mat& src2, int imaxDiff, double* _realmaxdif
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].channels();
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int i, nplanes = it.nplanes, depth = src1.depth();
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size_t i, nplanes = it.nplanes;
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int depth = src1.depth();
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size_t startidx = 1, idx = 0;
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if(_realmaxdiff)
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*_realmaxdiff = 0;
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@@ -1806,7 +1813,8 @@ int check( const Mat& a, double fmin, double fmax, vector<int>* _idx )
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Mat plane;
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NAryMatIterator it(arrays, &plane);
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size_t total = plane.total()*plane.channels();
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int i, nplanes = it.nplanes, depth = a.depth();
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size_t i, nplanes = it.nplanes;
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int depth = a.depth();
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size_t startidx = 1, idx = 0;
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int imin = 0, imax = 0;
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@@ -1874,7 +1882,8 @@ int cmpEps( const Mat& arr, const Mat& refarr, double* _realmaxdiff,
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].channels(), j = total;
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int i, nplanes = it.nplanes, depth = arr.depth();
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size_t i, nplanes = it.nplanes;
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int depth = arr.depth();
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size_t startidx = 1, idx = 0;
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double realmaxdiff = 0, maxval = 0;
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@@ -2160,11 +2169,11 @@ void gemm( const Mat& _a, const Mat& _b, double alpha,
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if( a.depth() == CV_32F )
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GEMM_(a.ptr<float>(), a_step, a_delta, b.ptr<float>(), b_step, b_delta,
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!c.empty() ? c.ptr<float>() : 0, c_step, c_delta, d.ptr<float>(),
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d.step1(), a_rows, b_cols, a_cols, cn, alpha, beta );
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(int)d.step1(), a_rows, b_cols, a_cols, cn, alpha, beta );
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else
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GEMM_(a.ptr<double>(), a_step, a_delta, b.ptr<double>(), b_step, b_delta,
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!c.empty() ? c.ptr<double>() : 0, c_step, c_delta, d.ptr<double>(),
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d.step1(), a_rows, b_cols, a_cols, cn, alpha, beta );
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(int)d.step1(), a_rows, b_cols, a_cols, cn, alpha, beta );
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}
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@@ -2282,7 +2291,7 @@ void transform( const Mat& src, Mat& dst, const Mat& transmat, const Mat& _shift
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total();
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int i, nplanes = it.nplanes;
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size_t i, nplanes = it.nplanes;
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for( i = 0; i < nplanes; i++, ++it )
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{
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@@ -2338,7 +2347,7 @@ static void minmax(const Mat& src1, const Mat& src2, Mat& dst, char op)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].channels();
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int i, nplanes = it.nplanes, depth = src1.depth();
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size_t i, nplanes = it.nplanes, depth = src1.depth();
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for( i = 0; i < nplanes; i++, ++it )
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{
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@@ -2406,7 +2415,7 @@ static void minmax(const Mat& src1, double val, Mat& dst, char op)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total()*planes[0].channels();
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int i, nplanes = it.nplanes, depth = src1.depth();
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size_t i, nplanes = it.nplanes, depth = src1.depth();
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int ival = saturate_cast<int>(val);
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for( i = 0; i < nplanes; i++, ++it )
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@@ -2478,7 +2487,7 @@ static void muldiv(const Mat& src1, const Mat& src2, Mat& dst, double scale, cha
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NAryMatIterator it(arrays, planes);
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size_t total = planes[1].total()*planes[1].channels();
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int i, nplanes = it.nplanes, depth = src2.depth();
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size_t i, nplanes = it.nplanes, depth = src2.depth();
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for( i = 0; i < nplanes; i++, ++it )
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{
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@@ -2563,7 +2572,8 @@ Scalar mean(const Mat& src, const Mat& mask)
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NAryMatIterator it(arrays, planes);
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size_t total = planes[0].total();
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int i, nplanes = it.nplanes, depth = src.depth(), cn = src.channels();
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size_t i, nplanes = it.nplanes;
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int depth = src.depth(), cn = src.channels();
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for( i = 0; i < nplanes; i++, ++it )
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{
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