/*M/////////////////////////////////////////////////////////////////////////////////////// // // 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 #include "internal_shared.hpp" #include "opencv2/gpu/device/border_interpolate.hpp" #include "opencv2/gpu/device/vec_traits.hpp" #include "opencv2/gpu/device/vec_math.hpp" #include "opencv2/gpu/device/saturate_cast.hpp" #include "opencv2/gpu/device/filters.hpp" #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 */