mirror of
https://github.com/opencv/opencv.git
synced 2026-07-29 15:23:05 +04:00
fix legacy constants
This commit is contained in:
@@ -616,7 +616,7 @@ static bool ocl_reduce(InputArray _src, OutputArray _dst,
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if (!doubleSupport && (sdepth == CV_64F || ddepth == CV_64F))
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return false;
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if (op == CV_REDUCE_AVG)
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if (op == REDUCE_AVG)
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{
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if (sdepth < CV_32S && ddepth < CV_32S)
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ddepth = CV_32S;
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@@ -654,7 +654,7 @@ static bool ocl_reduce(InputArray _src, OutputArray _dst,
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_dst.create(dsize, dtype);
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UMat dst = _dst.getUMat();
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if (op0 == CV_REDUCE_AVG)
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if (op0 == REDUCE_AVG)
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k.args(ocl::KernelArg::ReadOnly(src),
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ocl::KernelArg::WriteOnlyNoSize(dst), 1.0f / src.cols);
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else
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@@ -690,7 +690,7 @@ static bool ocl_reduce(InputArray _src, OutputArray _dst,
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ocl::KernelArg srcarg = ocl::KernelArg::ReadOnly(src),
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temparg = ocl::KernelArg::WriteOnlyNoSize(dst);
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if (op0 == CV_REDUCE_AVG)
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if (op0 == REDUCE_AVG)
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k.args(srcarg, temparg, 1.0f / (dim == 0 ? src.rows : src.cols));
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else
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k.args(srcarg, temparg);
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@@ -717,8 +717,8 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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int ddepth = CV_MAT_DEPTH(dtype);
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CV_Assert( cn == CV_MAT_CN(dtype) );
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CV_Assert( op == CV_REDUCE_SUM || op == CV_REDUCE_MAX ||
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op == CV_REDUCE_MIN || op == CV_REDUCE_AVG );
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CV_Assert( op == REDUCE_SUM || op == REDUCE_MAX ||
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op == REDUCE_MIN || op == REDUCE_AVG );
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CV_OCL_RUN(_dst.isUMat(),
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ocl_reduce(_src, _dst, dim, op, op0, stype, dtype))
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@@ -732,9 +732,9 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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_dst.create(dim == 0 ? 1 : src.rows, dim == 0 ? src.cols : 1, dtype);
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Mat dst = _dst.getMat(), temp = dst;
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if( op == CV_REDUCE_AVG )
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if( op == REDUCE_AVG )
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{
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op = CV_REDUCE_SUM;
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op = REDUCE_SUM;
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if( sdepth < CV_32S && ddepth < CV_32S )
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{
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temp.create(dst.rows, dst.cols, CV_32SC(cn));
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@@ -745,7 +745,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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ReduceFunc func = 0;
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if( dim == 0 )
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{
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if( op == CV_REDUCE_SUM )
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if( op == REDUCE_SUM )
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{
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if(sdepth == CV_8U && ddepth == CV_32S)
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func = GET_OPTIMIZED(reduceSumR8u32s);
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@@ -768,7 +768,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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else if(sdepth == CV_64F && ddepth == CV_64F)
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func = reduceSumR64f64f;
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}
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else if(op == CV_REDUCE_MAX)
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else if(op == REDUCE_MAX)
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{
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if(sdepth == CV_8U && ddepth == CV_8U)
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func = GET_OPTIMIZED(reduceMaxR8u);
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@@ -781,7 +781,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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else if(sdepth == CV_64F && ddepth == CV_64F)
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func = reduceMaxR64f;
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}
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else if(op == CV_REDUCE_MIN)
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else if(op == REDUCE_MIN)
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{
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if(sdepth == CV_8U && ddepth == CV_8U)
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func = GET_OPTIMIZED(reduceMinR8u);
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@@ -797,7 +797,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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}
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else
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{
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if(op == CV_REDUCE_SUM)
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if(op == REDUCE_SUM)
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{
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if(sdepth == CV_8U && ddepth == CV_32S)
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func = GET_OPTIMIZED(reduceSumC8u32s);
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@@ -820,7 +820,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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else if(sdepth == CV_64F && ddepth == CV_64F)
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func = reduceSumC64f64f;
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}
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else if(op == CV_REDUCE_MAX)
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else if(op == REDUCE_MAX)
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{
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if(sdepth == CV_8U && ddepth == CV_8U)
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func = GET_OPTIMIZED(reduceMaxC8u);
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@@ -833,7 +833,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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else if(sdepth == CV_64F && ddepth == CV_64F)
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func = reduceMaxC64f;
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}
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else if(op == CV_REDUCE_MIN)
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else if(op == REDUCE_MIN)
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{
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if(sdepth == CV_8U && ddepth == CV_8U)
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func = GET_OPTIMIZED(reduceMinC8u);
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@@ -854,7 +854,7 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
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func( src, temp );
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if( op0 == CV_REDUCE_AVG )
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if( op0 == REDUCE_AVG )
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temp.convertTo(dst, dst.type(), 1./(dim == 0 ? src.rows : src.cols));
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}
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@@ -868,9 +868,9 @@ template<typename T> static void sort_( const Mat& src, Mat& dst, int flags )
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{
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AutoBuffer<T> buf;
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int n, len;
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bool sortRows = (flags & 1) == CV_SORT_EVERY_ROW;
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bool sortRows = (flags & 1) == SORT_EVERY_ROW;
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bool inplace = src.data == dst.data;
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bool sortDescending = (flags & CV_SORT_DESCENDING) != 0;
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bool sortDescending = (flags & SORT_DESCENDING) != 0;
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if( sortRows )
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n = src.rows, len = src.cols;
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@@ -940,8 +940,8 @@ static bool ipp_sort(const Mat& src, Mat& dst, int flags)
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{
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CV_INSTRUMENT_REGION_IPP();
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bool sortRows = (flags & 1) == CV_SORT_EVERY_ROW;
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bool sortDescending = (flags & CV_SORT_DESCENDING) != 0;
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bool sortRows = (flags & 1) == SORT_EVERY_ROW;
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bool sortDescending = (flags & SORT_DESCENDING) != 0;
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bool inplace = (src.data == dst.data);
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int depth = src.depth();
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IppDataType type = ippiGetDataType(depth);
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@@ -1013,8 +1013,8 @@ template<typename T> static void sortIdx_( const Mat& src, Mat& dst, int flags )
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{
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AutoBuffer<T> buf;
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AutoBuffer<int> ibuf;
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bool sortRows = (flags & 1) == CV_SORT_EVERY_ROW;
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bool sortDescending = (flags & CV_SORT_DESCENDING) != 0;
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bool sortRows = (flags & 1) == SORT_EVERY_ROW;
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bool sortDescending = (flags & SORT_DESCENDING) != 0;
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CV_Assert( src.data != dst.data );
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