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// loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #pragma once #ifndef __OPENCV_CUDEV_GRID_REDUCE_HPP__ #define __OPENCV_CUDEV_GRID_REDUCE_HPP__ #include #include "../common.hpp" #include "../ptr2d/traits.hpp" #include "../ptr2d/gpumat.hpp" #include "../ptr2d/mask.hpp" #include "../ptr2d/transform.hpp" #include "detail/reduce.hpp" #include "detail/minmaxloc.hpp" namespace cv { namespace cudev { //! @addtogroup cudev //! @{ template __host__ void gridCalcSum_(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { typedef typename PtrTraits::value_type src_type; CV_StaticAssert( unsigned(VecTraits::cn) == unsigned(VecTraits::cn), "" ); dst.create(1, 1); dst.setTo(0, stream); const int rows = getRows(src); const int cols = getCols(src); CV_Assert( getRows(mask) == rows && getCols(mask) == cols ); grid_reduce_detail::sum(shrinkPtr(src), dst[0], shrinkPtr(mask), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridCalcSum_(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { typedef typename PtrTraits::value_type src_type; CV_StaticAssert( unsigned(VecTraits::cn) == unsigned(VecTraits::cn), "" ); dst.create(1, 1); dst.setTo(0, stream); const int rows = getRows(src); const int cols = getCols(src); grid_reduce_detail::sum(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridFindMinVal_(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(Scalar::all(std::numeric_limits::max()), stream); const int rows = getRows(src); const int cols = getCols(src); CV_Assert( getRows(mask) == rows && getCols(mask) == cols ); grid_reduce_detail::minVal(shrinkPtr(src), dst[0], shrinkPtr(mask), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridFindMinVal_(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(Scalar::all(std::numeric_limits::max()), stream); const int rows = getRows(src); const int cols = getCols(src); grid_reduce_detail::minVal(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridFindMaxVal_(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(Scalar::all(-std::numeric_limits::max()), stream); const int rows = getRows(src); const int cols = getCols(src); CV_Assert( getRows(mask) == rows && getCols(mask) == cols ); grid_reduce_detail::maxVal(shrinkPtr(src), dst[0], shrinkPtr(mask), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridFindMaxVal_(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(Scalar::all(-std::numeric_limits::max()), stream); const int rows = getRows(src); const int cols = getCols(src); grid_reduce_detail::maxVal(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridFindMinMaxVal_(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { dst.create(1, 2); dst.col(0).setTo(Scalar::all(std::numeric_limits::max()), stream); dst.col(1).setTo(Scalar::all(-std::numeric_limits::max()), stream); const int rows = getRows(src); const int cols = getCols(src); CV_Assert( getRows(mask) == rows && getCols(mask) == cols ); grid_reduce_detail::minMaxVal(shrinkPtr(src), dst[0], shrinkPtr(mask), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridFindMinMaxVal_(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { dst.create(1, 2); dst.col(0).setTo(Scalar::all(std::numeric_limits::max()), stream); dst.col(1).setTo(Scalar::all(-std::numeric_limits::max()), stream); const int rows = getRows(src); const int cols = getCols(src); grid_reduce_detail::minMaxVal(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridMinMaxLoc_(const SrcPtr& src, GpuMat_& valBuf, GpuMat_& locBuf, const MaskPtr& mask, Stream& stream = Stream::Null()) { const int rows = getRows(src); const int cols = getCols(src); CV_Assert( getRows(mask) == rows && getCols(mask) == cols ); dim3 grid, block; grid_minmaxloc_detail::getLaunchCfg(rows, cols, block, grid); valBuf.create(2, grid.x * grid.y); locBuf.create(2, grid.x * grid.y); grid_minmaxloc_detail::minMaxLoc(shrinkPtr(src), valBuf[0], valBuf[1], locBuf[0], locBuf[1], shrinkPtr(mask), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridMinMaxLoc_(const SrcPtr& src, GpuMat_& valBuf, GpuMat_& locBuf, Stream& stream = Stream::Null()) { const int rows = getRows(src); const int cols = getCols(src); dim3 grid, block; grid_minmaxloc_detail::getLaunchCfg(rows, cols, block, grid); valBuf.create(2, grid.x * grid.y); locBuf.create(2, grid.x * grid.y); grid_minmaxloc_detail::minMaxLoc(shrinkPtr(src), valBuf[0], valBuf[1], locBuf[0], locBuf[1], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridCountNonZero_(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(0, stream); const int rows = getRows(src); const int cols = getCols(src); CV_Assert( getRows(mask) == rows && getCols(mask) == cols ); typedef typename PtrTraits::value_type src_type; not_equal_to ne_op; const src_type zero = VecTraits::all(0); grid_reduce_detail::sum(shrinkPtr(transformPtr(src, bind2nd(ne_op, zero))), dst[0], shrinkPtr(mask), rows, cols, StreamAccessor::getStream(stream)); } template __host__ void gridCountNonZero_(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(0, stream); const int rows = getRows(src); const int cols = getCols(src); typedef typename PtrTraits::value_type src_type; not_equal_to ne_op; const src_type zero = VecTraits::all(0); grid_reduce_detail::sum(shrinkPtr(transformPtr(src, bind2nd(ne_op, zero))), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); } // default policy struct DefaultGlobReducePolicy { enum { block_size_x = 32, block_size_y = 8, patch_size_x = 4, patch_size_y = 4 }; }; template __host__ void gridCalcSum(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { gridCalcSum_(src, dst, mask, stream); } template __host__ void gridCalcSum(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { gridCalcSum_(src, dst, stream); } template __host__ void gridFindMinVal(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { gridFindMinVal_(src, dst, mask, stream); } template __host__ void gridFindMinVal(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { gridFindMinVal_(src, dst, stream); } template __host__ void gridFindMaxVal(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { gridFindMaxVal_(src, dst, mask, stream); } template __host__ void gridFindMaxVal(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { gridFindMaxVal_(src, dst, stream); } template __host__ void gridFindMinMaxVal(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { gridFindMinMaxVal_(src, dst, mask, stream); } template __host__ void gridFindMinMaxVal(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { gridFindMinMaxVal_(src, dst, stream); } template __host__ void gridMinMaxLoc(const SrcPtr& src, GpuMat_& valBuf, GpuMat_& locBuf, const MaskPtr& mask, Stream& stream = Stream::Null()) { gridMinMaxLoc_(src, valBuf, locBuf, mask, stream); } template __host__ void gridMinMaxLoc(const SrcPtr& src, GpuMat_& valBuf, GpuMat_& locBuf, Stream& stream = Stream::Null()) { gridMinMaxLoc_(src, valBuf, locBuf, stream); } template __host__ void gridCountNonZero(const SrcPtr& src, GpuMat_& dst, const MaskPtr& mask, Stream& stream = Stream::Null()) { gridCountNonZero_(src, dst, mask, stream); } template __host__ void gridCountNonZero(const SrcPtr& src, GpuMat_& dst, Stream& stream = Stream::Null()) { gridCountNonZero_(src, dst, stream); } //! @} }} #endif