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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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// Copyright (C) 2014-2015, Itseez 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,
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// 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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/* ////////////////////////////////////////////////////////////////////
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//
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// Geometrical transforms on images and matrices: rotation, zoom etc.
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//
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// */
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#include "precomp.hpp"
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#include "resize.hpp"
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namespace cv
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{
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namespace opt_SSE4_1
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{
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class resizeNNInvokerSSE2 :
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public ParallelLoopBody
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{
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public:
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resizeNNInvokerSSE2(const Mat& _src, Mat &_dst, int *_x_ofs, double _ify) :
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ParallelLoopBody(), src(_src), dst(_dst), x_ofs(_x_ofs),
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ify(_ify)
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{
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}
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#if defined(__INTEL_COMPILER)
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#pragma optimization_parameter target_arch=SSE4.2
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#endif
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virtual void operator() (const Range& range) const CV_OVERRIDE
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{
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Size ssize = src.size(), dsize = dst.size();
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int y, x;
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int width = dsize.width;
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int sseWidth = width - (width & 0x7);
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for(y = range.start; y < range.end; y++)
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{
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uchar* D = dst.data + dst.step*y;
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uchar* Dstart = D;
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int sy = std::min(cvFloor(y*ify), ssize.height-1);
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const uchar* S = src.data + sy*src.step;
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__m128i CV_DECL_ALIGNED(64) pixels = _mm_set1_epi16(0);
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for(x = 0; x < sseWidth; x += 8)
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{
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ushort imm = *(ushort*)(S + x_ofs[x + 0]);
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pixels = _mm_insert_epi16(pixels, imm, 0);
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imm = *(ushort*)(S + x_ofs[x + 1]);
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pixels = _mm_insert_epi16(pixels, imm, 1);
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imm = *(ushort*)(S + x_ofs[x + 2]);
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pixels = _mm_insert_epi16(pixels, imm, 2);
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imm = *(ushort*)(S + x_ofs[x + 3]);
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pixels = _mm_insert_epi16(pixels, imm, 3);
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imm = *(ushort*)(S + x_ofs[x + 4]);
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pixels = _mm_insert_epi16(pixels, imm, 4);
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imm = *(ushort*)(S + x_ofs[x + 5]);
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pixels = _mm_insert_epi16(pixels, imm, 5);
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imm = *(ushort*)(S + x_ofs[x + 6]);
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pixels = _mm_insert_epi16(pixels, imm, 6);
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imm = *(ushort*)(S + x_ofs[x + 7]);
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pixels = _mm_insert_epi16(pixels, imm, 7);
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_mm_storeu_si128((__m128i*)D, pixels);
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D += 16;
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}
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for(; x < width; x++)
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{
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*(ushort*)(Dstart + x*2) = *(ushort*)(S + x_ofs[x]);
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}
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}
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}
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private:
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const Mat& src;
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Mat& dst;
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int* x_ofs;
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double ify;
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resizeNNInvokerSSE2(const resizeNNInvokerSSE2&);
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resizeNNInvokerSSE2& operator=(const resizeNNInvokerSSE2&);
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};
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class resizeNNInvokerSSE4 :
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public ParallelLoopBody
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{
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public:
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resizeNNInvokerSSE4(const Mat& _src, Mat &_dst, int *_x_ofs, double _ify) :
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ParallelLoopBody(), src(_src), dst(_dst), x_ofs(_x_ofs),
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ify(_ify)
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{
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}
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#if defined(__INTEL_COMPILER)
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#pragma optimization_parameter target_arch=SSE4.2
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#endif
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virtual void operator() (const Range& range) const CV_OVERRIDE
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{
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Size ssize = src.size(), dsize = dst.size();
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int y, x;
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int width = dsize.width;
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int sseWidth = width - (width & 0x3);
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for(y = range.start; y < range.end; y++)
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{
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uchar* D = dst.data + dst.step*y;
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uchar* Dstart = D;
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int sy = std::min(cvFloor(y*ify), ssize.height-1);
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const uchar* S = src.data + sy*src.step;
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__m128i CV_DECL_ALIGNED(64) pixels = _mm_set1_epi16(0);
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for(x = 0; x < sseWidth; x += 4)
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{
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int imm = *(int*)(S + x_ofs[x + 0]);
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pixels = _mm_insert_epi32(pixels, imm, 0);
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imm = *(int*)(S + x_ofs[x + 1]);
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pixels = _mm_insert_epi32(pixels, imm, 1);
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imm = *(int*)(S + x_ofs[x + 2]);
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pixels = _mm_insert_epi32(pixels, imm, 2);
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imm = *(int*)(S + x_ofs[x + 3]);
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pixels = _mm_insert_epi32(pixels, imm, 3);
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_mm_storeu_si128((__m128i*)D, pixels);
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D += 16;
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}
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for(; x < width; x++)
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{
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*(int*)(Dstart + x*4) = *(int*)(S + x_ofs[x]);
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}
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}
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}
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private:
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const Mat& src;
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Mat& dst;
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int* x_ofs;
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double ify;
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resizeNNInvokerSSE4(const resizeNNInvokerSSE4&);
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resizeNNInvokerSSE4& operator=(const resizeNNInvokerSSE4&);
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};
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void resizeNN2_SSE4_1(const Range& range, const Mat& src, Mat &dst, int *x_ofs, double ify)
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{
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resizeNNInvokerSSE2 invoker(src, dst, x_ofs, ify);
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parallel_for_(range, invoker, dst.total() / (double)(1 << 16));
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}
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void resizeNN4_SSE4_1(const Range& range, const Mat& src, Mat &dst, int *x_ofs, double ify)
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{
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resizeNNInvokerSSE4 invoker(src, dst, x_ofs, ify);
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parallel_for_(range, invoker, dst.total() / (double)(1 << 16));
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}
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int VResizeLanczos4Vec_32f16u_SSE41(const float** src, ushort* dst, const float* beta, int width)
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{
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const float *S0 = src[0], *S1 = src[1], *S2 = src[2], *S3 = src[3],
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*S4 = src[4], *S5 = src[5], *S6 = src[6], *S7 = src[7];
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int x = 0;
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__m128 v_b0 = _mm_set1_ps(beta[0]), v_b1 = _mm_set1_ps(beta[1]),
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v_b2 = _mm_set1_ps(beta[2]), v_b3 = _mm_set1_ps(beta[3]),
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v_b4 = _mm_set1_ps(beta[4]), v_b5 = _mm_set1_ps(beta[5]),
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v_b6 = _mm_set1_ps(beta[6]), v_b7 = _mm_set1_ps(beta[7]);
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for (; x <= width - 8; x += 8)
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{
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__m128 v_dst0 = _mm_mul_ps(v_b0, _mm_loadu_ps(S0 + x));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b1, _mm_loadu_ps(S1 + x)));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b2, _mm_loadu_ps(S2 + x)));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b3, _mm_loadu_ps(S3 + x)));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b4, _mm_loadu_ps(S4 + x)));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b5, _mm_loadu_ps(S5 + x)));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b6, _mm_loadu_ps(S6 + x)));
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b7, _mm_loadu_ps(S7 + x)));
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__m128 v_dst1 = _mm_mul_ps(v_b0, _mm_loadu_ps(S0 + x + 4));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b1, _mm_loadu_ps(S1 + x + 4)));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b2, _mm_loadu_ps(S2 + x + 4)));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b3, _mm_loadu_ps(S3 + x + 4)));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b4, _mm_loadu_ps(S4 + x + 4)));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b5, _mm_loadu_ps(S5 + x + 4)));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b6, _mm_loadu_ps(S6 + x + 4)));
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b7, _mm_loadu_ps(S7 + x + 4)));
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__m128i v_dsti0 = _mm_cvtps_epi32(v_dst0);
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__m128i v_dsti1 = _mm_cvtps_epi32(v_dst1);
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_mm_storeu_si128((__m128i *)(dst + x), _mm_packus_epi32(v_dsti0, v_dsti1));
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}
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return x;
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}
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}
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}
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/* End of file. */
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