__host__ void gridTransform_(const SrcPtr& src, GpuMat_<DstType>& dst, const UnOp& op, Stream& stream = Stream::Null()) { const int rows = getRows(src); const int cols = getCols(src); dst.create(rows, cols); grid_transform_detail::transform<Policy>(shrinkPtr(src), shrinkPtr(dst), op, WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
__host__ void gridFindMaxVal_(const SrcPtr& src, GpuMat_<ResType>& dst, Stream& stream = Stream::Null()) { dst.create(1, 1); dst.setTo(Scalar::all(-std::numeric_limits<ResType>::max()), stream); const int rows = getRows(src); const int cols = getCols(src); grid_reduce_detail::maxVal<Policy>(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
__host__ void gridHistogram_(const SrcPtr& src, GpuMat_<ResType>& dst, Stream& stream = Stream::Null()) { CV_Assert( deviceSupports(SHARED_ATOMICS) ); const int rows = getRows(src); const int cols = getCols(src); dst.create(1, BIN_COUNT); dst.setTo(0, stream); grid_histogram_detail::histogram<BIN_COUNT, Policy>(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
__host__ void gridMinMaxLoc_(const SrcPtr& src, GpuMat_<ResType>& valBuf, GpuMat_<int>& locBuf, Stream& stream = Stream::Null()) { const int rows = getRows(src); const int cols = getCols(src); dim3 grid, block; grid_minmaxloc_detail::getLaunchCfg<Policy>(rows, cols, block, grid); valBuf.create(2, grid.x * grid.y); locBuf.create(2, grid.x * grid.y); grid_minmaxloc_detail::minMaxLoc<Policy>(shrinkPtr(src), valBuf[0], valBuf[1], locBuf[0], locBuf[1], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
__host__ void gridTransform_(const SrcPtr& src, const tuple< GpuMat_<D0>&, GpuMat_<D1>& >& dst, const OpTuple& op, Stream& stream = Stream::Null()) { CV_StaticAssert( tuple_size<OpTuple>::value == 2, "" ); const int rows = getRows(src); const int cols = getCols(src); get<0>(dst).create(rows, cols); get<1>(dst).create(rows, cols); grid_transform_detail::transform_tuple<Policy>(shrinkPtr(src), shrinkPtr(zipPtr(get<0>(dst), get<1>(dst))), op, WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
__host__ void gridCalcSum_(const SrcPtr& src, GpuMat_<ResType>& dst, Stream& stream = Stream::Null()) { typedef typename PtrTraits<SrcPtr>::value_type src_type; CV_StaticAssert( unsigned(VecTraits<src_type>::cn) == unsigned(VecTraits<ResType>::cn), "" ); dst.create(1, 1); dst.setTo(0, stream); const int rows = getRows(src); const int cols = getCols(src); grid_reduce_detail::sum<Policy>(shrinkPtr(src), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
__host__ void gridCountNonZero_(const SrcPtr& src, GpuMat_<ResType>& 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<SrcPtr>::value_type src_type; not_equal_to<src_type> ne_op; const src_type zero = VecTraits<src_type>::all(0); grid_reduce_detail::sum<Policy>(shrinkPtr(transformPtr(src, bind2nd(ne_op, zero))), dst[0], WithOutMask(), rows, cols, StreamAccessor::getStream(stream)); }
static inline void transform(DevMem2D_<T1> src1, DevMem2D_<T2> src2, DevMem2D_<D> dst, BinOp op, cudaStream_t stream = 0) { transform_detail::transform_caller(src1, src2, dst, op, WithOutMask(), stream); }