Normalize line endings and whitespace
This commit is contained in:
OpenCV Buildbot
committed by
Andrey Kamaev
Andrey Kamaev
parent
0442bca235
commit
81f826db2b
@@ -1,302 +1,302 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
|
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
|
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
|
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
|
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
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// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
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||||
// (including, but not limited to, procurement of substitute goods or services;
|
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/border_interpolate.hpp"
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#include "opencv2/gpu/device/vec_traits.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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#include "opencv2/gpu/device/saturate_cast.hpp"
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#include "opencv2/gpu/device/filters.hpp"
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#include <cfloat>
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#include <opencv2/gpu/device/scan.hpp>
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namespace cv { namespace gpu { namespace device
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{
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namespace imgproc
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{
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template <typename Ptr2D, typename T> __global__ void resize(const Ptr2D src, float fx, float fy, PtrStepSz<T> dst)
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{
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const int x = blockDim.x * blockIdx.x + threadIdx.x;
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const int y = blockDim.y * blockIdx.y + threadIdx.y;
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if (x < dst.cols && y < dst.rows)
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{
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const float xcoo = x * fx;
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const float ycoo = y * fy;
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dst(y, x) = saturate_cast<T>(src(ycoo, xcoo));
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}
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}
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template <typename Ptr2D, typename T> __global__ void resize_area(const Ptr2D src, float fx, float fy, PtrStepSz<T> dst)
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{
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const int x = blockDim.x * blockIdx.x + threadIdx.x;
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const int y = blockDim.y * blockIdx.y + threadIdx.y;
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if (x < dst.cols && y < dst.rows)
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{
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dst(y, x) = saturate_cast<T>(src(y, x));
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}
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}
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template <template <typename> class Filter, typename T> struct ResizeDispatcherStream
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{
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static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdReplicate<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
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Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc, fx, fy);
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resize<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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}
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};
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template <typename T> struct ResizeDispatcherStream<AreaFilter, T>
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{
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static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdConstant<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
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AreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
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resize_area<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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};
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template <typename T> struct ResizeDispatcherStream<IntegerAreaFilter, T>
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{
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static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdConstant<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
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IntegerAreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
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resize_area<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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};
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template <template <typename> class Filter, typename T> struct ResizeDispatcherNonStream
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{
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static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst)
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{
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(void)srcWhole;
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(void)xoff;
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(void)yoff;
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdReplicate<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
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Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
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resize<<<grid, block>>>(filteredSrc, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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};
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#define OPENCV_GPU_IMPLEMENT_RESIZE_TEX(type) \
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texture< type , cudaTextureType2D> tex_resize_ ## type (0, cudaFilterModePoint, cudaAddressModeClamp); \
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struct tex_resize_ ## type ## _reader \
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{ \
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typedef type elem_type; \
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typedef int index_type; \
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const int xoff; \
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const int yoff; \
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__host__ tex_resize_ ## type ## _reader(int xoff_, int yoff_) : xoff(xoff_), yoff(yoff_) {} \
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__device__ __forceinline__ elem_type operator ()(index_type y, index_type x) const \
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{ \
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return tex2D(tex_resize_ ## type, x + xoff, y + yoff); \
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} \
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}; \
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template <template <typename> class Filter> struct ResizeDispatcherNonStream<Filter, type > \
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{ \
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static void call(PtrStepSz< type > src, PtrStepSz< type > srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz< type > dst) \
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{ \
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dim3 block(32, 8); \
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
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bindTexture(&tex_resize_ ## type, srcWhole); \
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tex_resize_ ## type ## _reader texSrc(xoff, yoff); \
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if (srcWhole.cols == src.cols && srcWhole.rows == src.rows) \
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{ \
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Filter<tex_resize_ ## type ## _reader> filteredSrc(texSrc); \
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resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
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} \
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else \
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{ \
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BrdReplicate< type > brd(src.rows, src.cols); \
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BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > brdSrc(texSrc, brd); \
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Filter< BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > > filteredSrc(brdSrc); \
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resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
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} \
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cudaSafeCall( cudaGetLastError() ); \
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cudaSafeCall( cudaDeviceSynchronize() ); \
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} \
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};
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar4)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(schar)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(char4)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort4)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short4)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int4)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float4)
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#undef OPENCV_GPU_IMPLEMENT_RESIZE_TEX
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template <template <typename> class Filter, typename T> struct ResizeDispatcher
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{
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static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
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{
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if (stream == 0)
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ResizeDispatcherNonStream<Filter, T>::call(src, srcWhole, xoff, yoff, fx, fy, dst);
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else
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ResizeDispatcherStream<Filter, T>::call(src, fx, fy, dst, stream);
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}
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};
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template <typename T> struct ResizeDispatcher<AreaFilter, T>
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{
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static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
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{
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(void)srcWhole;
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(void)xoff;
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(void)yoff;
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int iscale_x = (int)round(fx);
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int iscale_y = (int)round(fy);
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if( std::abs(fx - iscale_x) < FLT_MIN && std::abs(fy - iscale_y) < FLT_MIN)
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ResizeDispatcherStream<IntegerAreaFilter, T>::call(src, fx, fy, dst, stream);
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else
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ResizeDispatcherStream<AreaFilter, T>::call(src, fx, fy, dst, stream);
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}
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};
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template <typename T> void resize_gpu(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy,
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PtrStepSzb dst, int interpolation, cudaStream_t stream)
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{
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typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream);
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static const caller_t callers[4] =
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{
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ResizeDispatcher<PointFilter, T>::call,
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ResizeDispatcher<LinearFilter, T>::call,
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ResizeDispatcher<CubicFilter, T>::call,
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ResizeDispatcher<AreaFilter, T>::call
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};
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// chenge to linear if area interpolation upscaling
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if (interpolation == 3 && (fx <= 1.f || fy <= 1.f))
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interpolation = 1;
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callers[interpolation](static_cast< PtrStepSz<T> >(src), static_cast< PtrStepSz<T> >(srcWhole), xoff, yoff, fx, fy,
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static_cast< PtrStepSz<T> >(dst), stream);
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}
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template void resize_gpu<uchar >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<uchar2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<uchar3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<uchar4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<schar>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<char2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<char3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<char4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<ushort >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<ushort2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<ushort3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<ushort4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<short >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<short2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<short3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<short4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<float >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<float2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<float3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<float4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
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template<typename T> struct scan_traits{};
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template<> struct scan_traits<uchar>
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{
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typedef float scan_line_type;
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};
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} // namespace imgproc
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}}} // namespace cv { namespace gpu { namespace device
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/*M///////////////////////////////////////////////////////////////////////////////////////
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||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// 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*/
|
||||
|
||||
#if !defined CUDA_DISABLER
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||||
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||||
#include "internal_shared.hpp"
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#include "opencv2/gpu/device/border_interpolate.hpp"
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#include "opencv2/gpu/device/vec_traits.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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#include "opencv2/gpu/device/saturate_cast.hpp"
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#include "opencv2/gpu/device/filters.hpp"
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#include <cfloat>
|
||||
#include <opencv2/gpu/device/scan.hpp>
|
||||
|
||||
namespace cv { namespace gpu { namespace device
|
||||
{
|
||||
namespace imgproc
|
||||
{
|
||||
template <typename Ptr2D, typename T> __global__ void resize(const Ptr2D src, float fx, float fy, PtrStepSz<T> dst)
|
||||
{
|
||||
const int x = blockDim.x * blockIdx.x + threadIdx.x;
|
||||
const int y = blockDim.y * blockIdx.y + threadIdx.y;
|
||||
|
||||
if (x < dst.cols && y < dst.rows)
|
||||
{
|
||||
const float xcoo = x * fx;
|
||||
const float ycoo = y * fy;
|
||||
|
||||
dst(y, x) = saturate_cast<T>(src(ycoo, xcoo));
|
||||
}
|
||||
}
|
||||
|
||||
template <typename Ptr2D, typename T> __global__ void resize_area(const Ptr2D src, float fx, float fy, PtrStepSz<T> dst)
|
||||
{
|
||||
const int x = blockDim.x * blockIdx.x + threadIdx.x;
|
||||
const int y = blockDim.y * blockIdx.y + threadIdx.y;
|
||||
|
||||
if (x < dst.cols && y < dst.rows)
|
||||
{
|
||||
dst(y, x) = saturate_cast<T>(src(y, x));
|
||||
}
|
||||
}
|
||||
|
||||
template <template <typename> class Filter, typename T> struct ResizeDispatcherStream
|
||||
{
|
||||
static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
|
||||
{
|
||||
dim3 block(32, 8);
|
||||
dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
|
||||
|
||||
BrdReplicate<T> brd(src.rows, src.cols);
|
||||
BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
|
||||
Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc, fx, fy);
|
||||
|
||||
resize<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
}
|
||||
};
|
||||
|
||||
template <typename T> struct ResizeDispatcherStream<AreaFilter, T>
|
||||
{
|
||||
static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
|
||||
{
|
||||
dim3 block(32, 8);
|
||||
dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
|
||||
|
||||
BrdConstant<T> brd(src.rows, src.cols);
|
||||
BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
|
||||
AreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
|
||||
resize_area<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
if (stream == 0)
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
};
|
||||
|
||||
template <typename T> struct ResizeDispatcherStream<IntegerAreaFilter, T>
|
||||
{
|
||||
static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
|
||||
{
|
||||
dim3 block(32, 8);
|
||||
dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
|
||||
BrdConstant<T> brd(src.rows, src.cols);
|
||||
BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
|
||||
IntegerAreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
|
||||
resize_area<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
if (stream == 0)
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
};
|
||||
|
||||
template <template <typename> class Filter, typename T> struct ResizeDispatcherNonStream
|
||||
{
|
||||
static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst)
|
||||
{
|
||||
(void)srcWhole;
|
||||
(void)xoff;
|
||||
(void)yoff;
|
||||
|
||||
dim3 block(32, 8);
|
||||
dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
|
||||
|
||||
BrdReplicate<T> brd(src.rows, src.cols);
|
||||
BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
|
||||
Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
|
||||
|
||||
resize<<<grid, block>>>(filteredSrc, fx, fy, dst);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
};
|
||||
|
||||
#define OPENCV_GPU_IMPLEMENT_RESIZE_TEX(type) \
|
||||
texture< type , cudaTextureType2D> tex_resize_ ## type (0, cudaFilterModePoint, cudaAddressModeClamp); \
|
||||
struct tex_resize_ ## type ## _reader \
|
||||
{ \
|
||||
typedef type elem_type; \
|
||||
typedef int index_type; \
|
||||
const int xoff; \
|
||||
const int yoff; \
|
||||
__host__ tex_resize_ ## type ## _reader(int xoff_, int yoff_) : xoff(xoff_), yoff(yoff_) {} \
|
||||
__device__ __forceinline__ elem_type operator ()(index_type y, index_type x) const \
|
||||
{ \
|
||||
return tex2D(tex_resize_ ## type, x + xoff, y + yoff); \
|
||||
} \
|
||||
}; \
|
||||
template <template <typename> class Filter> struct ResizeDispatcherNonStream<Filter, type > \
|
||||
{ \
|
||||
static void call(PtrStepSz< type > src, PtrStepSz< type > srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz< type > dst) \
|
||||
{ \
|
||||
dim3 block(32, 8); \
|
||||
dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
|
||||
bindTexture(&tex_resize_ ## type, srcWhole); \
|
||||
tex_resize_ ## type ## _reader texSrc(xoff, yoff); \
|
||||
if (srcWhole.cols == src.cols && srcWhole.rows == src.rows) \
|
||||
{ \
|
||||
Filter<tex_resize_ ## type ## _reader> filteredSrc(texSrc); \
|
||||
resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
|
||||
} \
|
||||
else \
|
||||
{ \
|
||||
BrdReplicate< type > brd(src.rows, src.cols); \
|
||||
BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > brdSrc(texSrc, brd); \
|
||||
Filter< BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > > filteredSrc(brdSrc); \
|
||||
resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
|
||||
} \
|
||||
cudaSafeCall( cudaGetLastError() ); \
|
||||
cudaSafeCall( cudaDeviceSynchronize() ); \
|
||||
} \
|
||||
};
|
||||
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar)
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar4)
|
||||
|
||||
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(schar)
|
||||
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(char4)
|
||||
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort)
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort4)
|
||||
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short)
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short4)
|
||||
|
||||
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int)
|
||||
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int4)
|
||||
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float)
|
||||
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float4)
|
||||
|
||||
#undef OPENCV_GPU_IMPLEMENT_RESIZE_TEX
|
||||
|
||||
template <template <typename> class Filter, typename T> struct ResizeDispatcher
|
||||
{
|
||||
static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
|
||||
{
|
||||
if (stream == 0)
|
||||
ResizeDispatcherNonStream<Filter, T>::call(src, srcWhole, xoff, yoff, fx, fy, dst);
|
||||
else
|
||||
ResizeDispatcherStream<Filter, T>::call(src, fx, fy, dst, stream);
|
||||
}
|
||||
};
|
||||
|
||||
template <typename T> struct ResizeDispatcher<AreaFilter, T>
|
||||
{
|
||||
static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
|
||||
{
|
||||
(void)srcWhole;
|
||||
(void)xoff;
|
||||
(void)yoff;
|
||||
int iscale_x = (int)round(fx);
|
||||
int iscale_y = (int)round(fy);
|
||||
|
||||
if( std::abs(fx - iscale_x) < FLT_MIN && std::abs(fy - iscale_y) < FLT_MIN)
|
||||
ResizeDispatcherStream<IntegerAreaFilter, T>::call(src, fx, fy, dst, stream);
|
||||
else
|
||||
ResizeDispatcherStream<AreaFilter, T>::call(src, fx, fy, dst, stream);
|
||||
}
|
||||
};
|
||||
|
||||
template <typename T> void resize_gpu(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy,
|
||||
PtrStepSzb dst, int interpolation, cudaStream_t stream)
|
||||
{
|
||||
typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream);
|
||||
|
||||
static const caller_t callers[4] =
|
||||
{
|
||||
ResizeDispatcher<PointFilter, T>::call,
|
||||
ResizeDispatcher<LinearFilter, T>::call,
|
||||
ResizeDispatcher<CubicFilter, T>::call,
|
||||
ResizeDispatcher<AreaFilter, T>::call
|
||||
};
|
||||
// chenge to linear if area interpolation upscaling
|
||||
if (interpolation == 3 && (fx <= 1.f || fy <= 1.f))
|
||||
interpolation = 1;
|
||||
|
||||
callers[interpolation](static_cast< PtrStepSz<T> >(src), static_cast< PtrStepSz<T> >(srcWhole), xoff, yoff, fx, fy,
|
||||
static_cast< PtrStepSz<T> >(dst), stream);
|
||||
}
|
||||
|
||||
template void resize_gpu<uchar >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<uchar2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<uchar3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<uchar4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
|
||||
//template void resize_gpu<schar>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<char2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<char3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<char4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
|
||||
template void resize_gpu<ushort >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<ushort2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<ushort3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<ushort4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
|
||||
template void resize_gpu<short >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<short2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<short3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<short4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
|
||||
//template void resize_gpu<int >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<int2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<int3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<int4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
|
||||
template void resize_gpu<float >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
//template void resize_gpu<float2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<float3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
template void resize_gpu<float4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
|
||||
|
||||
template<typename T> struct scan_traits{};
|
||||
|
||||
template<> struct scan_traits<uchar>
|
||||
{
|
||||
typedef float scan_line_type;
|
||||
};
|
||||
|
||||
} // namespace imgproc
|
||||
}}} // namespace cv { namespace gpu { namespace device
|
||||
|
||||
|
||||
#endif /* CUDA_DISABLER */
|
||||
Reference in New Issue
Block a user