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opencv/modules/imgproc/src/pyramids.cpp

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/*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.
// Copyright (C) 2014-2015, Itseez 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*/
#include "precomp.hpp"
#include "opencl_kernels_imgproc.hpp"
namespace cv
{
template<typename T, int shift> struct FixPtCast
{
typedef int type1;
typedef T rtype;
rtype operator ()(type1 arg) const { return (T)((arg + (1 << (shift-1))) >> shift); }
};
template<typename T, int shift> struct FltCast
{
typedef T type1;
typedef T rtype;
rtype operator ()(type1 arg) const { return arg*(T)(1./(1 << shift)); }
};
template<typename T1, typename T2> struct PyrDownNoVec
{
int operator()(T1**, T2*, int, int) const { return 0; }
};
template<typename T1, typename T2> struct PyrUpNoVec
{
int operator()(T1**, T2**, int, int) const { return 0; }
};
#if CV_SSE2
struct PyrDownVec_32s8u
{
int operator()(int** src, uchar* dst, int, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
int x = 0;
const int *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
__m128i delta = _mm_set1_epi16(128);
for( ; x <= width - 16; x += 16 )
{
__m128i r0, r1, r2, r3, r4, t0, t1;
r0 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row0 + x)),
_mm_load_si128((const __m128i*)(row0 + x + 4)));
r1 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row1 + x)),
_mm_load_si128((const __m128i*)(row1 + x + 4)));
r2 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row2 + x)),
_mm_load_si128((const __m128i*)(row2 + x + 4)));
r3 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row3 + x)),
_mm_load_si128((const __m128i*)(row3 + x + 4)));
r4 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row4 + x)),
_mm_load_si128((const __m128i*)(row4 + x + 4)));
r0 = _mm_add_epi16(r0, r4);
r1 = _mm_add_epi16(_mm_add_epi16(r1, r3), r2);
r0 = _mm_add_epi16(r0, _mm_add_epi16(r2, r2));
t0 = _mm_add_epi16(r0, _mm_slli_epi16(r1, 2));
r0 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row0 + x + 8)),
_mm_load_si128((const __m128i*)(row0 + x + 12)));
r1 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row1 + x + 8)),
_mm_load_si128((const __m128i*)(row1 + x + 12)));
r2 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row2 + x + 8)),
_mm_load_si128((const __m128i*)(row2 + x + 12)));
r3 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row3 + x + 8)),
_mm_load_si128((const __m128i*)(row3 + x + 12)));
r4 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row4 + x + 8)),
_mm_load_si128((const __m128i*)(row4 + x + 12)));
r0 = _mm_add_epi16(r0, r4);
r1 = _mm_add_epi16(_mm_add_epi16(r1, r3), r2);
r0 = _mm_add_epi16(r0, _mm_add_epi16(r2, r2));
t1 = _mm_add_epi16(r0, _mm_slli_epi16(r1, 2));
t0 = _mm_srli_epi16(_mm_add_epi16(t0, delta), 8);
t1 = _mm_srli_epi16(_mm_add_epi16(t1, delta), 8);
_mm_storeu_si128((__m128i*)(dst + x), _mm_packus_epi16(t0, t1));
}
for( ; x <= width - 4; x += 4 )
{
__m128i r0, r1, r2, r3, r4, z = _mm_setzero_si128();
r0 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row0 + x)), z);
r1 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row1 + x)), z);
r2 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row2 + x)), z);
r3 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row3 + x)), z);
r4 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(row4 + x)), z);
r0 = _mm_add_epi16(r0, r4);
r1 = _mm_add_epi16(_mm_add_epi16(r1, r3), r2);
r0 = _mm_add_epi16(r0, _mm_add_epi16(r2, r2));
r0 = _mm_add_epi16(r0, _mm_slli_epi16(r1, 2));
r0 = _mm_srli_epi16(_mm_add_epi16(r0, delta), 8);
*(int*)(dst + x) = _mm_cvtsi128_si32(_mm_packus_epi16(r0, r0));
}
return x;
}
};
struct PyrDownVec_32f
{
int operator()(float** src, float* dst, int, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE) )
return 0;
int x = 0;
const float *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
__m128 _4 = _mm_set1_ps(4.f), _scale = _mm_set1_ps(1.f/256);
for( ; x <= width - 8; x += 8 )
{
__m128 r0, r1, r2, r3, r4, t0, t1;
r0 = _mm_load_ps(row0 + x);
r1 = _mm_load_ps(row1 + x);
r2 = _mm_load_ps(row2 + x);
r3 = _mm_load_ps(row3 + x);
r4 = _mm_load_ps(row4 + x);
r0 = _mm_add_ps(r0, r4);
r1 = _mm_add_ps(_mm_add_ps(r1, r3), r2);
r0 = _mm_add_ps(r0, _mm_add_ps(r2, r2));
t0 = _mm_add_ps(r0, _mm_mul_ps(r1, _4));
r0 = _mm_load_ps(row0 + x + 4);
r1 = _mm_load_ps(row1 + x + 4);
r2 = _mm_load_ps(row2 + x + 4);
r3 = _mm_load_ps(row3 + x + 4);
r4 = _mm_load_ps(row4 + x + 4);
r0 = _mm_add_ps(r0, r4);
r1 = _mm_add_ps(_mm_add_ps(r1, r3), r2);
r0 = _mm_add_ps(r0, _mm_add_ps(r2, r2));
t1 = _mm_add_ps(r0, _mm_mul_ps(r1, _4));
t0 = _mm_mul_ps(t0, _scale);
t1 = _mm_mul_ps(t1, _scale);
_mm_storeu_ps(dst + x, t0);
_mm_storeu_ps(dst + x + 4, t1);
}
return x;
}
};
#if CV_SSE4_1
struct PyrDownVec_32s16u
{
PyrDownVec_32s16u()
{
haveSSE = checkHardwareSupport(CV_CPU_SSE4_1);
}
int operator()(int** src, ushort* dst, int, int width) const
{
int x = 0;
if (!haveSSE)
return x;
const int *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
__m128i v_delta = _mm_set1_epi32(128);
for( ; x <= width - 8; x += 8 )
{
__m128i v_r00 = _mm_loadu_si128((__m128i const *)(row0 + x)),
v_r01 = _mm_loadu_si128((__m128i const *)(row0 + x + 4));
__m128i v_r10 = _mm_loadu_si128((__m128i const *)(row1 + x)),
v_r11 = _mm_loadu_si128((__m128i const *)(row1 + x + 4));
__m128i v_r20 = _mm_loadu_si128((__m128i const *)(row2 + x)),
v_r21 = _mm_loadu_si128((__m128i const *)(row2 + x + 4));
__m128i v_r30 = _mm_loadu_si128((__m128i const *)(row3 + x)),
v_r31 = _mm_loadu_si128((__m128i const *)(row3 + x + 4));
__m128i v_r40 = _mm_loadu_si128((__m128i const *)(row4 + x)),
v_r41 = _mm_loadu_si128((__m128i const *)(row4 + x + 4));
v_r00 = _mm_add_epi32(_mm_add_epi32(v_r00, v_r40), _mm_add_epi32(v_r20, v_r20));
v_r10 = _mm_add_epi32(_mm_add_epi32(v_r10, v_r20), v_r30);
v_r10 = _mm_slli_epi32(v_r10, 2);
__m128i v_dst0 = _mm_srli_epi32(_mm_add_epi32(_mm_add_epi32(v_r00, v_r10), v_delta), 8);
v_r01 = _mm_add_epi32(_mm_add_epi32(v_r01, v_r41), _mm_add_epi32(v_r21, v_r21));
v_r11 = _mm_add_epi32(_mm_add_epi32(v_r11, v_r21), v_r31);
v_r11 = _mm_slli_epi32(v_r11, 2);
__m128i v_dst1 = _mm_srli_epi32(_mm_add_epi32(_mm_add_epi32(v_r01, v_r11), v_delta), 8);
_mm_storeu_si128((__m128i *)(dst + x), _mm_packus_epi32(v_dst0, v_dst1));
}
return x;
}
bool haveSSE;
};
#else
typedef PyrDownNoVec<int, ushort> PyrDownVec_32s16u;
#endif // CV_SSE4_1
struct PyrDownVec_32s16s
{
PyrDownVec_32s16s()
{
haveSSE = checkHardwareSupport(CV_CPU_SSE2);
}
int operator()(int** src, short* dst, int, int width) const
{
int x = 0;
if (!haveSSE)
return x;
const int *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
__m128i v_delta = _mm_set1_epi32(128);
for( ; x <= width - 8; x += 8 )
{
__m128i v_r00 = _mm_loadu_si128((__m128i const *)(row0 + x)),
v_r01 = _mm_loadu_si128((__m128i const *)(row0 + x + 4));
__m128i v_r10 = _mm_loadu_si128((__m128i const *)(row1 + x)),
v_r11 = _mm_loadu_si128((__m128i const *)(row1 + x + 4));
__m128i v_r20 = _mm_loadu_si128((__m128i const *)(row2 + x)),
v_r21 = _mm_loadu_si128((__m128i const *)(row2 + x + 4));
__m128i v_r30 = _mm_loadu_si128((__m128i const *)(row3 + x)),
v_r31 = _mm_loadu_si128((__m128i const *)(row3 + x + 4));
__m128i v_r40 = _mm_loadu_si128((__m128i const *)(row4 + x)),
v_r41 = _mm_loadu_si128((__m128i const *)(row4 + x + 4));
v_r00 = _mm_add_epi32(_mm_add_epi32(v_r00, v_r40), _mm_add_epi32(v_r20, v_r20));
v_r10 = _mm_add_epi32(_mm_add_epi32(v_r10, v_r20), v_r30);
v_r10 = _mm_slli_epi32(v_r10, 2);
__m128i v_dst0 = _mm_srai_epi32(_mm_add_epi32(_mm_add_epi32(v_r00, v_r10), v_delta), 8);
v_r01 = _mm_add_epi32(_mm_add_epi32(v_r01, v_r41), _mm_add_epi32(v_r21, v_r21));
v_r11 = _mm_add_epi32(_mm_add_epi32(v_r11, v_r21), v_r31);
v_r11 = _mm_slli_epi32(v_r11, 2);
__m128i v_dst1 = _mm_srai_epi32(_mm_add_epi32(_mm_add_epi32(v_r01, v_r11), v_delta), 8);
_mm_storeu_si128((__m128i *)(dst + x), _mm_packs_epi32(v_dst0, v_dst1));
}
return x;
}
bool haveSSE;
};
struct PyrUpVec_32s8u
{
int operator()(int** src, uchar** dst, int, int width) const
{
int x = 0;
if (!checkHardwareSupport(CV_CPU_SSE2))
return x;
uchar *dst0 = dst[0], *dst1 = dst[1];
const uint *row0 = (uint *)src[0], *row1 = (uint *)src[1], *row2 = (uint *)src[2];
__m128i v_delta = _mm_set1_epi16(32), v_zero = _mm_setzero_si128();
for( ; x <= width - 16; x += 16 )
{
__m128i v_r0 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row0 + x)),
_mm_loadu_si128((__m128i const *)(row0 + x + 4)));
__m128i v_r1 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row1 + x)),
_mm_loadu_si128((__m128i const *)(row1 + x + 4)));
__m128i v_r2 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row2 + x)),
_mm_loadu_si128((__m128i const *)(row2 + x + 4)));
__m128i v_2r1 = _mm_adds_epu16(v_r1, v_r1), v_4r1 = _mm_adds_epu16(v_2r1, v_2r1);
__m128i v_dst00 = _mm_adds_epu16(_mm_adds_epu16(v_r0, v_r2), _mm_adds_epu16(v_2r1, v_4r1));
__m128i v_dst10 = _mm_slli_epi16(_mm_adds_epu16(v_r1, v_r2), 2);
v_r0 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row0 + x + 8)),
_mm_loadu_si128((__m128i const *)(row0 + x + 12)));
v_r1 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row1 + x + 8)),
_mm_loadu_si128((__m128i const *)(row1 + x + 12)));
v_r2 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row2 + x + 8)),
_mm_loadu_si128((__m128i const *)(row2 + x + 12)));
v_2r1 = _mm_adds_epu16(v_r1, v_r1), v_4r1 = _mm_adds_epu16(v_2r1, v_2r1);
__m128i v_dst01 = _mm_adds_epu16(_mm_adds_epu16(v_r0, v_r2), _mm_adds_epu16(v_2r1, v_4r1));
__m128i v_dst11 = _mm_slli_epi16(_mm_adds_epu16(v_r1, v_r2), 2);
_mm_storeu_si128((__m128i *)(dst0 + x), _mm_packus_epi16(_mm_srli_epi16(_mm_adds_epu16(v_dst00, v_delta), 6),
_mm_srli_epi16(_mm_adds_epu16(v_dst01, v_delta), 6)));
_mm_storeu_si128((__m128i *)(dst1 + x), _mm_packus_epi16(_mm_srli_epi16(_mm_adds_epu16(v_dst10, v_delta), 6),
_mm_srli_epi16(_mm_adds_epu16(v_dst11, v_delta), 6)));
}
for( ; x <= width - 8; x += 8 )
{
__m128i v_r0 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row0 + x)),
_mm_loadu_si128((__m128i const *)(row0 + x + 4)));
__m128i v_r1 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row1 + x)),
_mm_loadu_si128((__m128i const *)(row1 + x + 4)));
__m128i v_r2 = _mm_packs_epi32(_mm_loadu_si128((__m128i const *)(row2 + x)),
_mm_loadu_si128((__m128i const *)(row2 + x + 4)));
__m128i v_2r1 = _mm_adds_epu16(v_r1, v_r1), v_4r1 = _mm_adds_epu16(v_2r1, v_2r1);
__m128i v_dst0 = _mm_adds_epu16(_mm_adds_epu16(v_r0, v_r2), _mm_adds_epu16(v_2r1, v_4r1));
__m128i v_dst1 = _mm_slli_epi16(_mm_adds_epu16(v_r1, v_r2), 2);
_mm_storel_epi64((__m128i *)(dst0 + x), _mm_packus_epi16(_mm_srli_epi16(_mm_adds_epu16(v_dst0, v_delta), 6), v_zero));
_mm_storel_epi64((__m128i *)(dst1 + x), _mm_packus_epi16(_mm_srli_epi16(_mm_adds_epu16(v_dst1, v_delta), 6), v_zero));
}
return x;
}
};
struct PyrUpVec_32s16s
{
int operator()(int** src, short** dst, int, int width) const
{
int x = 0;
if (!checkHardwareSupport(CV_CPU_SSE2))
return x;
short *dst0 = dst[0], *dst1 = dst[1];
const uint *row0 = (uint *)src[0], *row1 = (uint *)src[1], *row2 = (uint *)src[2];
__m128i v_delta = _mm_set1_epi32(32), v_zero = _mm_setzero_si128();
for( ; x <= width - 8; x += 8 )
{
__m128i v_r0 = _mm_loadu_si128((__m128i const *)(row0 + x)),
v_r1 = _mm_loadu_si128((__m128i const *)(row1 + x)),
v_r2 = _mm_loadu_si128((__m128i const *)(row2 + x));
__m128i v_2r1 = _mm_slli_epi32(v_r1, 1), v_4r1 = _mm_slli_epi32(v_r1, 2);
__m128i v_dst00 = _mm_add_epi32(_mm_add_epi32(v_r0, v_r2), _mm_add_epi32(v_2r1, v_4r1));
__m128i v_dst10 = _mm_slli_epi32(_mm_add_epi32(v_r1, v_r2), 2);
v_r0 = _mm_loadu_si128((__m128i const *)(row0 + x + 4));
v_r1 = _mm_loadu_si128((__m128i const *)(row1 + x + 4));
v_r2 = _mm_loadu_si128((__m128i const *)(row2 + x + 4));
v_2r1 = _mm_slli_epi32(v_r1, 1);
v_4r1 = _mm_slli_epi32(v_r1, 2);
__m128i v_dst01 = _mm_add_epi32(_mm_add_epi32(v_r0, v_r2), _mm_add_epi32(v_2r1, v_4r1));
__m128i v_dst11 = _mm_slli_epi32(_mm_add_epi32(v_r1, v_r2), 2);
_mm_storeu_si128((__m128i *)(dst0 + x),
_mm_packs_epi32(_mm_srai_epi32(_mm_add_epi32(v_dst00, v_delta), 6),
_mm_srai_epi32(_mm_add_epi32(v_dst01, v_delta), 6)));
_mm_storeu_si128((__m128i *)(dst1 + x),
_mm_packs_epi32(_mm_srai_epi32(_mm_add_epi32(v_dst10, v_delta), 6),
_mm_srai_epi32(_mm_add_epi32(v_dst11, v_delta), 6)));
}
for( ; x <= width - 4; x += 4 )
{
__m128i v_r0 = _mm_loadu_si128((__m128i const *)(row0 + x)),
v_r1 = _mm_loadu_si128((__m128i const *)(row1 + x)),
v_r2 = _mm_loadu_si128((__m128i const *)(row2 + x));
__m128i v_2r1 = _mm_slli_epi32(v_r1, 1), v_4r1 = _mm_slli_epi32(v_r1, 2);
__m128i v_dst0 = _mm_add_epi32(_mm_add_epi32(v_r0, v_r2), _mm_add_epi32(v_2r1, v_4r1));
__m128i v_dst1 = _mm_slli_epi32(_mm_add_epi32(v_r1, v_r2), 2);
_mm_storel_epi64((__m128i *)(dst0 + x),
_mm_packs_epi32(_mm_srai_epi32(_mm_add_epi32(v_dst0, v_delta), 6), v_zero));
_mm_storel_epi64((__m128i *)(dst1 + x),
_mm_packs_epi32(_mm_srai_epi32(_mm_add_epi32(v_dst1, v_delta), 6), v_zero));
}
return x;
}
};
#if CV_SSE4_1
struct PyrUpVec_32s16u
{
int operator()(int** src, ushort** dst, int, int width) const
{
int x = 0;
if (!checkHardwareSupport(CV_CPU_SSE4_1))
return x;
ushort *dst0 = dst[0], *dst1 = dst[1];
const uint *row0 = (uint *)src[0], *row1 = (uint *)src[1], *row2 = (uint *)src[2];
__m128i v_delta = _mm_set1_epi32(32), v_zero = _mm_setzero_si128();
for( ; x <= width - 8; x += 8 )
{
__m128i v_r0 = _mm_loadu_si128((__m128i const *)(row0 + x)),
v_r1 = _mm_loadu_si128((__m128i const *)(row1 + x)),
v_r2 = _mm_loadu_si128((__m128i const *)(row2 + x));
__m128i v_2r1 = _mm_slli_epi32(v_r1, 1), v_4r1 = _mm_slli_epi32(v_r1, 2);
__m128i v_dst00 = _mm_add_epi32(_mm_add_epi32(v_r0, v_r2), _mm_add_epi32(v_2r1, v_4r1));
__m128i v_dst10 = _mm_slli_epi32(_mm_add_epi32(v_r1, v_r2), 2);
v_r0 = _mm_loadu_si128((__m128i const *)(row0 + x + 4));
v_r1 = _mm_loadu_si128((__m128i const *)(row1 + x + 4));
v_r2 = _mm_loadu_si128((__m128i const *)(row2 + x + 4));
v_2r1 = _mm_slli_epi32(v_r1, 1);
v_4r1 = _mm_slli_epi32(v_r1, 2);
__m128i v_dst01 = _mm_add_epi32(_mm_add_epi32(v_r0, v_r2), _mm_add_epi32(v_2r1, v_4r1));
__m128i v_dst11 = _mm_slli_epi32(_mm_add_epi32(v_r1, v_r2), 2);
_mm_storeu_si128((__m128i *)(dst0 + x),
_mm_packus_epi32(_mm_srli_epi32(_mm_add_epi32(v_dst00, v_delta), 6),
_mm_srli_epi32(_mm_add_epi32(v_dst01, v_delta), 6)));
_mm_storeu_si128((__m128i *)(dst1 + x),
_mm_packus_epi32(_mm_srli_epi32(_mm_add_epi32(v_dst10, v_delta), 6),
_mm_srli_epi32(_mm_add_epi32(v_dst11, v_delta), 6)));
}
for( ; x <= width - 4; x += 4 )
{
__m128i v_r0 = _mm_loadu_si128((__m128i const *)(row0 + x)),
v_r1 = _mm_loadu_si128((__m128i const *)(row1 + x)),
v_r2 = _mm_loadu_si128((__m128i const *)(row2 + x));
__m128i v_2r1 = _mm_slli_epi32(v_r1, 1), v_4r1 = _mm_slli_epi32(v_r1, 2);
__m128i v_dst0 = _mm_add_epi32(_mm_add_epi32(v_r0, v_r2), _mm_add_epi32(v_2r1, v_4r1));
__m128i v_dst1 = _mm_slli_epi32(_mm_add_epi32(v_r1, v_r2), 2);
_mm_storel_epi64((__m128i *)(dst0 + x),
_mm_packus_epi32(_mm_srli_epi32(_mm_add_epi32(v_dst0, v_delta), 6), v_zero));
_mm_storel_epi64((__m128i *)(dst1 + x),
_mm_packus_epi32(_mm_srli_epi32(_mm_add_epi32(v_dst1, v_delta), 6), v_zero));
}
return x;
}
};
#else
typedef PyrUpNoVec<int, ushort> PyrUpVec_32s16u;
#endif // CV_SSE4_1
struct PyrUpVec_32f
{
int operator()(float** src, float** dst, int, int width) const
{
int x = 0;
if (!checkHardwareSupport(CV_CPU_SSE2))
return x;
const float *row0 = src[0], *row1 = src[1], *row2 = src[2];
float *dst0 = dst[0], *dst1 = dst[1];
__m128 v_6 = _mm_set1_ps(6.0f), v_scale = _mm_set1_ps(1.f/64.0f),
v_scale4 = _mm_mul_ps(v_scale, _mm_set1_ps(4.0f));
for( ; x <= width - 8; x += 8 )
{
__m128 v_r0 = _mm_loadu_ps(row0 + x);
__m128 v_r1 = _mm_loadu_ps(row1 + x);
__m128 v_r2 = _mm_loadu_ps(row2 + x);
_mm_storeu_ps(dst1 + x, _mm_mul_ps(v_scale4, _mm_add_ps(v_r1, v_r2)));
_mm_storeu_ps(dst0 + x, _mm_mul_ps(v_scale, _mm_add_ps(_mm_add_ps(v_r0, _mm_mul_ps(v_6, v_r1)), v_r2)));
v_r0 = _mm_loadu_ps(row0 + x + 4);
v_r1 = _mm_loadu_ps(row1 + x + 4);
v_r2 = _mm_loadu_ps(row2 + x + 4);
_mm_storeu_ps(dst1 + x + 4, _mm_mul_ps(v_scale4, _mm_add_ps(v_r1, v_r2)));
_mm_storeu_ps(dst0 + x + 4, _mm_mul_ps(v_scale, _mm_add_ps(_mm_add_ps(v_r0, _mm_mul_ps(v_6, v_r1)), v_r2)));
}
return x;
}
};
#elif CV_NEON
struct PyrDownVec_32s8u
{
int operator()(int** src, uchar* dst, int, int width) const
{
int x = 0;
const unsigned int *row0 = (unsigned int*)src[0], *row1 = (unsigned int*)src[1],
*row2 = (unsigned int*)src[2], *row3 = (unsigned int*)src[3],
*row4 = (unsigned int*)src[4];
uint16x8_t v_delta = vdupq_n_u16(128);
for( ; x <= width - 16; x += 16 )
{
uint16x8_t v_r0 = vcombine_u16(vqmovn_u32(vld1q_u32(row0 + x)), vqmovn_u32(vld1q_u32(row0 + x + 4)));
uint16x8_t v_r1 = vcombine_u16(vqmovn_u32(vld1q_u32(row1 + x)), vqmovn_u32(vld1q_u32(row1 + x + 4)));
uint16x8_t v_r2 = vcombine_u16(vqmovn_u32(vld1q_u32(row2 + x)), vqmovn_u32(vld1q_u32(row2 + x + 4)));
uint16x8_t v_r3 = vcombine_u16(vqmovn_u32(vld1q_u32(row3 + x)), vqmovn_u32(vld1q_u32(row3 + x + 4)));
uint16x8_t v_r4 = vcombine_u16(vqmovn_u32(vld1q_u32(row4 + x)), vqmovn_u32(vld1q_u32(row4 + x + 4)));
v_r0 = vaddq_u16(vaddq_u16(v_r0, v_r4), vaddq_u16(v_r2, v_r2));
v_r1 = vaddq_u16(vaddq_u16(v_r1, v_r2), v_r3);
uint16x8_t v_dst0 = vaddq_u16(v_r0, vshlq_n_u16(v_r1, 2));
v_r0 = vcombine_u16(vqmovn_u32(vld1q_u32(row0 + x + 8)), vqmovn_u32(vld1q_u32(row0 + x + 12)));
v_r1 = vcombine_u16(vqmovn_u32(vld1q_u32(row1 + x + 8)), vqmovn_u32(vld1q_u32(row1 + x + 12)));
v_r2 = vcombine_u16(vqmovn_u32(vld1q_u32(row2 + x + 8)), vqmovn_u32(vld1q_u32(row2 + x + 12)));
v_r3 = vcombine_u16(vqmovn_u32(vld1q_u32(row3 + x + 8)), vqmovn_u32(vld1q_u32(row3 + x + 12)));
v_r4 = vcombine_u16(vqmovn_u32(vld1q_u32(row4 + x + 8)), vqmovn_u32(vld1q_u32(row4 + x + 12)));
v_r0 = vaddq_u16(vaddq_u16(v_r0, v_r4), vaddq_u16(v_r2, v_r2));
v_r1 = vaddq_u16(vaddq_u16(v_r1, v_r2), v_r3);
uint16x8_t v_dst1 = vaddq_u16(v_r0, vshlq_n_u16(v_r1, 2));
vst1q_u8(dst + x, vcombine_u8(vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst0, v_delta), 8)),
vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst1, v_delta), 8))));
}
return x;
}
};
struct PyrDownVec_32s16u
{
int operator()(int** src, ushort* dst, int, int width) const
{
int x = 0;
const int *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
int32x4_t v_delta = vdupq_n_s32(128);
for( ; x <= width - 8; x += 8 )
{
int32x4_t v_r00 = vld1q_s32(row0 + x), v_r01 = vld1q_s32(row0 + x + 4);
int32x4_t v_r10 = vld1q_s32(row1 + x), v_r11 = vld1q_s32(row1 + x + 4);
int32x4_t v_r20 = vld1q_s32(row2 + x), v_r21 = vld1q_s32(row2 + x + 4);
int32x4_t v_r30 = vld1q_s32(row3 + x), v_r31 = vld1q_s32(row3 + x + 4);
int32x4_t v_r40 = vld1q_s32(row4 + x), v_r41 = vld1q_s32(row4 + x + 4);
v_r00 = vaddq_s32(vaddq_s32(v_r00, v_r40), vaddq_s32(v_r20, v_r20));
v_r10 = vaddq_s32(vaddq_s32(v_r10, v_r20), v_r30);
v_r10 = vshlq_n_s32(v_r10, 2);
int32x4_t v_dst0 = vshrq_n_s32(vaddq_s32(vaddq_s32(v_r00, v_r10), v_delta), 8);
v_r01 = vaddq_s32(vaddq_s32(v_r01, v_r41), vaddq_s32(v_r21, v_r21));
v_r11 = vaddq_s32(vaddq_s32(v_r11, v_r21), v_r31);
v_r11 = vshlq_n_s32(v_r11, 2);
int32x4_t v_dst1 = vshrq_n_s32(vaddq_s32(vaddq_s32(v_r01, v_r11), v_delta), 8);
vst1q_u16(dst + x, vcombine_u16(vqmovun_s32(v_dst0), vqmovun_s32(v_dst1)));
}
return x;
}
};
struct PyrDownVec_32s16s
{
int operator()(int** src, short* dst, int, int width) const
{
int x = 0;
const int *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
int32x4_t v_delta = vdupq_n_s32(128);
for( ; x <= width - 8; x += 8 )
{
int32x4_t v_r00 = vld1q_s32(row0 + x), v_r01 = vld1q_s32(row0 + x + 4);
int32x4_t v_r10 = vld1q_s32(row1 + x), v_r11 = vld1q_s32(row1 + x + 4);
int32x4_t v_r20 = vld1q_s32(row2 + x), v_r21 = vld1q_s32(row2 + x + 4);
int32x4_t v_r30 = vld1q_s32(row3 + x), v_r31 = vld1q_s32(row3 + x + 4);
int32x4_t v_r40 = vld1q_s32(row4 + x), v_r41 = vld1q_s32(row4 + x + 4);
v_r00 = vaddq_s32(vaddq_s32(v_r00, v_r40), vaddq_s32(v_r20, v_r20));
v_r10 = vaddq_s32(vaddq_s32(v_r10, v_r20), v_r30);
v_r10 = vshlq_n_s32(v_r10, 2);
int32x4_t v_dst0 = vshrq_n_s32(vaddq_s32(vaddq_s32(v_r00, v_r10), v_delta), 8);
v_r01 = vaddq_s32(vaddq_s32(v_r01, v_r41), vaddq_s32(v_r21, v_r21));
v_r11 = vaddq_s32(vaddq_s32(v_r11, v_r21), v_r31);
v_r11 = vshlq_n_s32(v_r11, 2);
int32x4_t v_dst1 = vshrq_n_s32(vaddq_s32(vaddq_s32(v_r01, v_r11), v_delta), 8);
vst1q_s16(dst + x, vcombine_s16(vqmovn_s32(v_dst0), vqmovn_s32(v_dst1)));
}
return x;
}
};
struct PyrDownVec_32f
{
int operator()(float** src, float* dst, int, int width) const
{
int x = 0;
const float *row0 = src[0], *row1 = src[1], *row2 = src[2], *row3 = src[3], *row4 = src[4];
float32x4_t v_4 = vdupq_n_f32(4.0f), v_scale = vdupq_n_f32(1.f/256.0f);
for( ; x <= width - 8; x += 8 )
{
float32x4_t v_r0 = vld1q_f32(row0 + x);
float32x4_t v_r1 = vld1q_f32(row1 + x);
float32x4_t v_r2 = vld1q_f32(row2 + x);
float32x4_t v_r3 = vld1q_f32(row3 + x);
float32x4_t v_r4 = vld1q_f32(row4 + x);
v_r0 = vaddq_f32(vaddq_f32(v_r0, v_r4), vaddq_f32(v_r2, v_r2));
v_r1 = vaddq_f32(vaddq_f32(v_r1, v_r2), v_r3);
vst1q_f32(dst + x, vmulq_f32(vmlaq_f32(v_r0, v_4, v_r1), v_scale));
v_r0 = vld1q_f32(row0 + x + 4);
v_r1 = vld1q_f32(row1 + x + 4);
v_r2 = vld1q_f32(row2 + x + 4);
v_r3 = vld1q_f32(row3 + x + 4);
v_r4 = vld1q_f32(row4 + x + 4);
v_r0 = vaddq_f32(vaddq_f32(v_r0, v_r4), vaddq_f32(v_r2, v_r2));
v_r1 = vaddq_f32(vaddq_f32(v_r1, v_r2), v_r3);
vst1q_f32(dst + x + 4, vmulq_f32(vmlaq_f32(v_r0, v_4, v_r1), v_scale));
}
return x;
}
};
struct PyrUpVec_32s8u
{
int operator()(int** src, uchar** dst, int, int width) const
{
int x = 0;
uchar *dst0 = dst[0], *dst1 = dst[1];
const uint *row0 = (uint *)src[0], *row1 = (uint *)src[1], *row2 = (uint *)src[2];
uint16x8_t v_delta = vdupq_n_u16(32);
for( ; x <= width - 16; x += 16 )
{
uint16x8_t v_r0 = vcombine_u16(vqmovn_u32(vld1q_u32(row0 + x)), vqmovn_u32(vld1q_u32(row0 + x + 4)));
uint16x8_t v_r1 = vcombine_u16(vqmovn_u32(vld1q_u32(row1 + x)), vqmovn_u32(vld1q_u32(row1 + x + 4)));
uint16x8_t v_r2 = vcombine_u16(vqmovn_u32(vld1q_u32(row2 + x)), vqmovn_u32(vld1q_u32(row2 + x + 4)));
uint16x8_t v_2r1 = vaddq_u16(v_r1, v_r1), v_4r1 = vaddq_u16(v_2r1, v_2r1);
uint16x8_t v_dst00 = vaddq_u16(vaddq_u16(v_r0, v_r2), vaddq_u16(v_2r1, v_4r1));
uint16x8_t v_dst10 = vshlq_n_u16(vaddq_u16(v_r1, v_r2), 2);
v_r0 = vcombine_u16(vqmovn_u32(vld1q_u32(row0 + x + 8)), vqmovn_u32(vld1q_u32(row0 + x + 12)));
v_r1 = vcombine_u16(vqmovn_u32(vld1q_u32(row1 + x + 8)), vqmovn_u32(vld1q_u32(row1 + x + 12)));
v_r2 = vcombine_u16(vqmovn_u32(vld1q_u32(row2 + x + 8)), vqmovn_u32(vld1q_u32(row2 + x + 12)));
v_2r1 = vaddq_u16(v_r1, v_r1), v_4r1 = vaddq_u16(v_2r1, v_2r1);
uint16x8_t v_dst01 = vaddq_u16(vaddq_u16(v_r0, v_r2), vaddq_u16(v_2r1, v_4r1));
uint16x8_t v_dst11 = vshlq_n_u16(vaddq_u16(v_r1, v_r2), 2);
vst1q_u8(dst0 + x, vcombine_u8(vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst00, v_delta), 6)),
vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst01, v_delta), 6))));
vst1q_u8(dst1 + x, vcombine_u8(vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst10, v_delta), 6)),
vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst11, v_delta), 6))));
}
for( ; x <= width - 8; x += 8 )
{
uint16x8_t v_r0 = vcombine_u16(vqmovn_u32(vld1q_u32(row0 + x)), vqmovn_u32(vld1q_u32(row0 + x + 4)));
uint16x8_t v_r1 = vcombine_u16(vqmovn_u32(vld1q_u32(row1 + x)), vqmovn_u32(vld1q_u32(row1 + x + 4)));
uint16x8_t v_r2 = vcombine_u16(vqmovn_u32(vld1q_u32(row2 + x)), vqmovn_u32(vld1q_u32(row2 + x + 4)));
uint16x8_t v_2r1 = vaddq_u16(v_r1, v_r1), v_4r1 = vaddq_u16(v_2r1, v_2r1);
uint16x8_t v_dst0 = vaddq_u16(vaddq_u16(v_r0, v_r2), vaddq_u16(v_2r1, v_4r1));
uint16x8_t v_dst1 = vshlq_n_u16(vaddq_u16(v_r1, v_r2), 2);
vst1_u8(dst0 + x, vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst0, v_delta), 6)));
vst1_u8(dst1 + x, vqmovn_u16(vshrq_n_u16(vaddq_u16(v_dst1, v_delta), 6)));
}
return x;
}
};
struct PyrUpVec_32s16u
{
int operator()(int** src, ushort** dst, int, int width) const
{
int x = 0;
ushort *dst0 = dst[0], *dst1 = dst[1];
const uint *row0 = (uint *)src[0], *row1 = (uint *)src[1], *row2 = (uint *)src[2];
uint32x4_t v_delta = vdupq_n_u32(32);
for( ; x <= width - 8; x += 8 )
{
uint32x4_t v_r0 = vld1q_u32(row0 + x), v_r1 = vld1q_u32(row1 + x), v_r2 = vld1q_u32(row2 + x);
uint32x4_t v_2r1 = vshlq_n_u32(v_r1, 1), v_4r1 = vshlq_n_u32(v_r1, 2);
uint32x4_t v_dst00 = vaddq_u32(vaddq_u32(v_r0, v_r2), vaddq_u32(v_2r1, v_4r1));
uint32x4_t v_dst10 = vshlq_n_u32(vaddq_u32(v_r1, v_r2), 2);
v_r0 = vld1q_u32(row0 + x + 4);
v_r1 = vld1q_u32(row1 + x + 4);
v_r2 = vld1q_u32(row2 + x + 4);
v_2r1 = vshlq_n_u32(v_r1, 1);
v_4r1 = vshlq_n_u32(v_r1, 2);
uint32x4_t v_dst01 = vaddq_u32(vaddq_u32(v_r0, v_r2), vaddq_u32(v_2r1, v_4r1));
uint32x4_t v_dst11 = vshlq_n_u32(vaddq_u32(v_r1, v_r2), 2);
vst1q_u16(dst0 + x, vcombine_u16(vmovn_u32(vshrq_n_u32(vaddq_u32(v_dst00, v_delta), 6)),
vmovn_u32(vshrq_n_u32(vaddq_u32(v_dst01, v_delta), 6))));
vst1q_u16(dst1 + x, vcombine_u16(vmovn_u32(vshrq_n_u32(vaddq_u32(v_dst10, v_delta), 6)),
vmovn_u32(vshrq_n_u32(vaddq_u32(v_dst11, v_delta), 6))));
}
for( ; x <= width - 4; x += 4 )
{
uint32x4_t v_r0 = vld1q_u32(row0 + x), v_r1 = vld1q_u32(row1 + x), v_r2 = vld1q_u32(row2 + x);
uint32x4_t v_2r1 = vshlq_n_u32(v_r1, 1), v_4r1 = vshlq_n_u32(v_r1, 2);
uint32x4_t v_dst0 = vaddq_u32(vaddq_u32(v_r0, v_r2), vaddq_u32(v_2r1, v_4r1));
uint32x4_t v_dst1 = vshlq_n_u32(vaddq_u32(v_r1, v_r2), 2);
vst1_u16(dst0 + x, vmovn_u32(vshrq_n_u32(vaddq_u32(v_dst0, v_delta), 6)));
vst1_u16(dst1 + x, vmovn_u32(vshrq_n_u32(vaddq_u32(v_dst1, v_delta), 6)));
}
return x;
}
};
struct PyrUpVec_32s16s
{
int operator()(int** src, short** dst, int, int width) const
{
int x = 0;
short *dst0 = dst[0], *dst1 = dst[1];
const int *row0 = src[0], *row1 = src[1], *row2 = src[2];
int32x4_t v_delta = vdupq_n_s32(32);
for( ; x <= width - 8; x += 8 )
{
int32x4_t v_r0 = vld1q_s32(row0 + x), v_r1 = vld1q_s32(row1 + x), v_r2 = vld1q_s32(row2 + x);
int32x4_t v_2r1 = vshlq_n_s32(v_r1, 1), v_4r1 = vshlq_n_s32(v_r1, 2);
int32x4_t v_dst00 = vaddq_s32(vaddq_s32(v_r0, v_r2), vaddq_s32(v_2r1, v_4r1));
int32x4_t v_dst10 = vshlq_n_s32(vaddq_s32(v_r1, v_r2), 2);
v_r0 = vld1q_s32(row0 + x + 4);
v_r1 = vld1q_s32(row1 + x + 4);
v_r2 = vld1q_s32(row2 + x + 4);
v_2r1 = vshlq_n_s32(v_r1, 1);
v_4r1 = vshlq_n_s32(v_r1, 2);
int32x4_t v_dst01 = vaddq_s32(vaddq_s32(v_r0, v_r2), vaddq_s32(v_2r1, v_4r1));
int32x4_t v_dst11 = vshlq_n_s32(vaddq_s32(v_r1, v_r2), 2);
vst1q_s16(dst0 + x, vcombine_s16(vqmovn_s32(vshrq_n_s32(vaddq_s32(v_dst00, v_delta), 6)),
vqmovn_s32(vshrq_n_s32(vaddq_s32(v_dst01, v_delta), 6))));
vst1q_s16(dst1 + x, vcombine_s16(vqmovn_s32(vshrq_n_s32(vaddq_s32(v_dst10, v_delta), 6)),
vqmovn_s32(vshrq_n_s32(vaddq_s32(v_dst11, v_delta), 6))));
}
for( ; x <= width - 4; x += 4 )
{
int32x4_t v_r0 = vld1q_s32(row0 + x), v_r1 = vld1q_s32(row1 + x), v_r2 = vld1q_s32(row2 + x);
int32x4_t v_2r1 = vshlq_n_s32(v_r1, 1), v_4r1 = vshlq_n_s32(v_r1, 2);
int32x4_t v_dst0 = vaddq_s32(vaddq_s32(v_r0, v_r2), vaddq_s32(v_2r1, v_4r1));
int32x4_t v_dst1 = vshlq_n_s32(vaddq_s32(v_r1, v_r2), 2);
vst1_s16(dst0 + x, vqmovn_s32(vshrq_n_s32(vaddq_s32(v_dst0, v_delta), 6)));
vst1_s16(dst1 + x, vqmovn_s32(vshrq_n_s32(vaddq_s32(v_dst1, v_delta), 6)));
}
return x;
}
};
struct PyrUpVec_32f
{
int operator()(float** src, float** dst, int, int width) const
{
int x = 0;
const float *row0 = src[0], *row1 = src[1], *row2 = src[2];
float *dst0 = dst[0], *dst1 = dst[1];
float32x4_t v_6 = vdupq_n_f32(6.0f), v_scale = vdupq_n_f32(1.f/64.0f), v_scale4 = vmulq_n_f32(v_scale, 4.0f);
for( ; x <= width - 8; x += 8 )
{
float32x4_t v_r0 = vld1q_f32(row0 + x);
float32x4_t v_r1 = vld1q_f32(row1 + x);
float32x4_t v_r2 = vld1q_f32(row2 + x);
vst1q_f32(dst1 + x, vmulq_f32(v_scale4, vaddq_f32(v_r1, v_r2)));
vst1q_f32(dst0 + x, vmulq_f32(v_scale, vaddq_f32(vmlaq_f32(v_r0, v_6, v_r1), v_r2)));
v_r0 = vld1q_f32(row0 + x + 4);
v_r1 = vld1q_f32(row1 + x + 4);
v_r2 = vld1q_f32(row2 + x + 4);
vst1q_f32(dst1 + x + 4, vmulq_f32(v_scale4, vaddq_f32(v_r1, v_r2)));
vst1q_f32(dst0 + x + 4, vmulq_f32(v_scale, vaddq_f32(vmlaq_f32(v_r0, v_6, v_r1), v_r2)));
}
return x;
}
};
#else
typedef PyrDownNoVec<int, uchar> PyrDownVec_32s8u;
typedef PyrDownNoVec<int, ushort> PyrDownVec_32s16u;
typedef PyrDownNoVec<int, short> PyrDownVec_32s16s;
typedef PyrDownNoVec<float, float> PyrDownVec_32f;
typedef PyrUpNoVec<int, uchar> PyrUpVec_32s8u;
typedef PyrUpNoVec<int, short> PyrUpVec_32s16s;
typedef PyrUpNoVec<int, ushort> PyrUpVec_32s16u;
typedef PyrUpNoVec<float, float> PyrUpVec_32f;
#endif
template<class CastOp, class VecOp> void
pyrDown_( const Mat& _src, Mat& _dst, int borderType )
{
const int PD_SZ = 5;
typedef typename CastOp::type1 WT;
typedef typename CastOp::rtype T;
CV_Assert( !_src.empty() );
Size ssize = _src.size(), dsize = _dst.size();
int cn = _src.channels();
int bufstep = (int)alignSize(dsize.width*cn, 16);
AutoBuffer<WT> _buf(bufstep*PD_SZ + 16);
WT* buf = alignPtr((WT*)_buf, 16);
int tabL[CV_CN_MAX*(PD_SZ+2)], tabR[CV_CN_MAX*(PD_SZ+2)];
AutoBuffer<int> _tabM(dsize.width*cn);
int* tabM = _tabM;
WT* rows[PD_SZ];
CastOp castOp;
VecOp vecOp;
CV_Assert( ssize.width > 0 && ssize.height > 0 &&
std::abs(dsize.width*2 - ssize.width) <= 2 &&
std::abs(dsize.height*2 - ssize.height) <= 2 );
int k, x, sy0 = -PD_SZ/2, sy = sy0, width0 = std::min((ssize.width-PD_SZ/2-1)/2 + 1, dsize.width);
for( x = 0; x <= PD_SZ+1; x++ )
{
int sx0 = borderInterpolate(x - PD_SZ/2, ssize.width, borderType)*cn;
int sx1 = borderInterpolate(x + width0*2 - PD_SZ/2, ssize.width, borderType)*cn;
for( k = 0; k < cn; k++ )
{
tabL[x*cn + k] = sx0 + k;
tabR[x*cn + k] = sx1 + k;
}
}
ssize.width *= cn;
dsize.width *= cn;
width0 *= cn;
for( x = 0; x < dsize.width; x++ )
tabM[x] = (x/cn)*2*cn + x % cn;
for( int y = 0; y < dsize.height; y++ )
{
T* dst = _dst.ptr<T>(y);
WT *row0, *row1, *row2, *row3, *row4;
// fill the ring buffer (horizontal convolution and decimation)
for( ; sy <= y*2 + 2; sy++ )
{
WT* row = buf + ((sy - sy0) % PD_SZ)*bufstep;
int _sy = borderInterpolate(sy, ssize.height, borderType);
const T* src = _src.ptr<T>(_sy);
int limit = cn;
const int* tab = tabL;
for( x = 0;;)
{
for( ; x < limit; x++ )
{
row[x] = src[tab[x+cn*2]]*6 + (src[tab[x+cn]] + src[tab[x+cn*3]])*4 +
src[tab[x]] + src[tab[x+cn*4]];
}
if( x == dsize.width )
break;
if( cn == 1 )
{
for( ; x < width0; x++ )
row[x] = src[x*2]*6 + (src[x*2 - 1] + src[x*2 + 1])*4 +
src[x*2 - 2] + src[x*2 + 2];
}
else if( cn == 3 )
{
for( ; x < width0; x += 3 )
{
const T* s = src + x*2;
WT t0 = s[0]*6 + (s[-3] + s[3])*4 + s[-6] + s[6];
WT t1 = s[1]*6 + (s[-2] + s[4])*4 + s[-5] + s[7];
WT t2 = s[2]*6 + (s[-1] + s[5])*4 + s[-4] + s[8];
row[x] = t0; row[x+1] = t1; row[x+2] = t2;
}
}
else if( cn == 4 )
{
for( ; x < width0; x += 4 )
{
const T* s = src + x*2;
WT t0 = s[0]*6 + (s[-4] + s[4])*4 + s[-8] + s[8];
WT t1 = s[1]*6 + (s[-3] + s[5])*4 + s[-7] + s[9];
row[x] = t0; row[x+1] = t1;
t0 = s[2]*6 + (s[-2] + s[6])*4 + s[-6] + s[10];
t1 = s[3]*6 + (s[-1] + s[7])*4 + s[-5] + s[11];
row[x+2] = t0; row[x+3] = t1;
}
}
else
{
for( ; x < width0; x++ )
{
int sx = tabM[x];
row[x] = src[sx]*6 + (src[sx - cn] + src[sx + cn])*4 +
src[sx - cn*2] + src[sx + cn*2];
}
}
limit = dsize.width;
tab = tabR - x;
}
}
// do vertical convolution and decimation and write the result to the destination image
for( k = 0; k < PD_SZ; k++ )
rows[k] = buf + ((y*2 - PD_SZ/2 + k - sy0) % PD_SZ)*bufstep;
row0 = rows[0]; row1 = rows[1]; row2 = rows[2]; row3 = rows[3]; row4 = rows[4];
x = vecOp(rows, dst, (int)_dst.step, dsize.width);
for( ; x < dsize.width; x++ )
dst[x] = castOp(row2[x]*6 + (row1[x] + row3[x])*4 + row0[x] + row4[x]);
}
}
template<class CastOp, class VecOp> void
pyrUp_( const Mat& _src, Mat& _dst, int)
{
const int PU_SZ = 3;
typedef typename CastOp::type1 WT;
typedef typename CastOp::rtype T;
Size ssize = _src.size(), dsize = _dst.size();
int cn = _src.channels();
int bufstep = (int)alignSize((dsize.width+1)*cn, 16);
AutoBuffer<WT> _buf(bufstep*PU_SZ + 16);
WT* buf = alignPtr((WT*)_buf, 16);
AutoBuffer<int> _dtab(ssize.width*cn);
int* dtab = _dtab;
WT* rows[PU_SZ];
T* dsts[2];
CastOp castOp;
VecOp vecOp;
CV_Assert( std::abs(dsize.width - ssize.width*2) == dsize.width % 2 &&
std::abs(dsize.height - ssize.height*2) == dsize.height % 2);
int k, x, sy0 = -PU_SZ/2, sy = sy0;
ssize.width *= cn;
dsize.width *= cn;
for( x = 0; x < ssize.width; x++ )
dtab[x] = (x/cn)*2*cn + x % cn;
for( int y = 0; y < ssize.height; y++ )
{
T* dst0 = _dst.ptr<T>(y*2);
T* dst1 = _dst.ptr<T>(std::min(y*2+1, dsize.height-1));
WT *row0, *row1, *row2;
// fill the ring buffer (horizontal convolution and decimation)
for( ; sy <= y + 1; sy++ )
{
WT* row = buf + ((sy - sy0) % PU_SZ)*bufstep;
int _sy = borderInterpolate(sy*2, dsize.height, BORDER_REFLECT_101)/2;
const T* src = _src.ptr<T>(_sy);
if( ssize.width == cn )
{
for( x = 0; x < cn; x++ )
row[x] = row[x + cn] = src[x]*8;
continue;
}
for( x = 0; x < cn; x++ )
{
int dx = dtab[x];
WT t0 = src[x]*6 + src[x + cn]*2;
WT t1 = (src[x] + src[x + cn])*4;
row[dx] = t0; row[dx + cn] = t1;
dx = dtab[ssize.width - cn + x];
int sx = ssize.width - cn + x;
t0 = src[sx - cn] + src[sx]*7;
t1 = src[sx]*8;
row[dx] = t0; row[dx + cn] = t1;
}
for( x = cn; x < ssize.width - cn; x++ )
{
int dx = dtab[x];
WT t0 = src[x-cn] + src[x]*6 + src[x+cn];
WT t1 = (src[x] + src[x+cn])*4;
row[dx] = t0;
row[dx+cn] = t1;
}
}
// do vertical convolution and decimation and write the result to the destination image
for( k = 0; k < PU_SZ; k++ )
rows[k] = buf + ((y - PU_SZ/2 + k - sy0) % PU_SZ)*bufstep;
row0 = rows[0]; row1 = rows[1]; row2 = rows[2];
dsts[0] = dst0; dsts[1] = dst1;
x = vecOp(rows, dsts, (int)_dst.step, dsize.width);
for( ; x < dsize.width; x++ )
{
T t1 = castOp((row1[x] + row2[x])*4);
T t0 = castOp(row0[x] + row1[x]*6 + row2[x]);
dst1[x] = t1; dst0[x] = t0;
}
}
}
typedef void (*PyrFunc)(const Mat&, Mat&, int);
#ifdef HAVE_OPENCL
static bool ocl_pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if (cn > 4 || (depth == CV_64F && !doubleSupport))
return false;
Size ssize = _src.size();
Size dsize = _dsz.area() == 0 ? Size((ssize.width + 1) / 2, (ssize.height + 1) / 2) : _dsz;
if (dsize.height < 2 || dsize.width < 2)
return false;
CV_Assert( ssize.width > 0 && ssize.height > 0 &&
std::abs(dsize.width*2 - ssize.width) <= 2 &&
std::abs(dsize.height*2 - ssize.height) <= 2 );
UMat src = _src.getUMat();
_dst.create( dsize, src.type() );
UMat dst = _dst.getUMat();
int float_depth = depth == CV_64F ? CV_64F : CV_32F;
const int local_size = 256;
int kercn = 1;
if (depth == CV_8U && float_depth == CV_32F && cn == 1 && ocl::Device::getDefault().isIntel())
kercn = 4;
const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP",
"BORDER_REFLECT_101" };
char cvt[2][50];
String buildOptions = format(
"-D T=%s -D FT=%s -D convertToT=%s -D convertToFT=%s%s "
"-D T1=%s -D cn=%d -D kercn=%d -D fdepth=%d -D %s -D LOCAL_SIZE=%d",
ocl::typeToStr(type), ocl::typeToStr(CV_MAKETYPE(float_depth, cn)),
ocl::convertTypeStr(float_depth, depth, cn, cvt[0]),
ocl::convertTypeStr(depth, float_depth, cn, cvt[1]),
doubleSupport ? " -D DOUBLE_SUPPORT" : "", ocl::typeToStr(depth),
cn, kercn, float_depth, borderMap[borderType], local_size
);
ocl::Kernel k("pyrDown", ocl::imgproc::pyr_down_oclsrc, buildOptions);
if (k.empty())
return false;
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst));
size_t localThreads[2] = { local_size/kercn, 1 };
size_t globalThreads[2] = { (src.cols + (kercn-1))/kercn, (dst.rows + 1) / 2 };
return k.run(2, globalThreads, localThreads, false);
}
static bool ocl_pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
if (channels > 4 || borderType != BORDER_DEFAULT)
return false;
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if (depth == CV_64F && !doubleSupport)
return false;
Size ssize = _src.size();
if ((_dsz.area() != 0) && (_dsz != Size(ssize.width * 2, ssize.height * 2)))
return false;
UMat src = _src.getUMat();
Size dsize = Size(ssize.width * 2, ssize.height * 2);
_dst.create( dsize, src.type() );
UMat dst = _dst.getUMat();
int float_depth = depth == CV_64F ? CV_64F : CV_32F;
const int local_size = 16;
char cvt[2][50];
String buildOptions = format(
"-D T=%s -D FT=%s -D convertToT=%s -D convertToFT=%s%s "
"-D T1=%s -D cn=%d -D LOCAL_SIZE=%d",
ocl::typeToStr(type), ocl::typeToStr(CV_MAKETYPE(float_depth, channels)),
ocl::convertTypeStr(float_depth, depth, channels, cvt[0]),
ocl::convertTypeStr(depth, float_depth, channels, cvt[1]),
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
ocl::typeToStr(depth), channels, local_size
);
size_t globalThreads[2] = { dst.cols, dst.rows };
size_t localThreads[2] = { local_size, local_size };
ocl::Kernel k;
if (ocl::Device::getDefault().isIntel() && channels == 1)
{
k.create("pyrUp_unrolled", ocl::imgproc::pyr_up_oclsrc, buildOptions);
globalThreads[0] = dst.cols/2; globalThreads[1] = dst.rows/2;
}
else
k.create("pyrUp", ocl::imgproc::pyr_up_oclsrc, buildOptions);
if (k.empty())
return false;
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst));
return k.run(2, globalThreads, localThreads, false);
}
#endif
}
#if defined(HAVE_IPP)
namespace cv
{
static bool ipp_pyrdown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{
#if IPP_VERSION_X100 >= 801 && 0
Size dsz = _dsz.area() == 0 ? Size((_src.cols() + 1)/2, (_src.rows() + 1)/2) : _dsz;
bool isolated = (borderType & BORDER_ISOLATED) != 0;
int borderTypeNI = borderType & ~BORDER_ISOLATED;
Mat src = _src.getMat();
_dst.create( dsz, src.type() );
Mat dst = _dst.getMat();
int depth = src.depth();
{
bool isolated = (borderType & BORDER_ISOLATED) != 0;
int borderTypeNI = borderType & ~BORDER_ISOLATED;
if (borderTypeNI == BORDER_DEFAULT && (!src.isSubmatrix() || isolated) && dsz == Size(src.cols*2, src.rows*2))
{
typedef IppStatus (CV_STDCALL * ippiPyrUp)(const void* pSrc, int srcStep, void* pDst, int dstStep, IppiSize srcRoi, Ipp8u* buffer);
int type = src.type();
CV_SUPPRESS_DEPRECATED_START
ippiPyrUp pyrUpFunc = type == CV_8UC1 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_8u_C1R :
type == CV_8UC3 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_8u_C3R :
type == CV_32FC1 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_32f_C1R :
type == CV_32FC3 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_32f_C3R : 0;
CV_SUPPRESS_DEPRECATED_END
if (pyrUpFunc)
{
int bufferSize;
IppiSize srcRoi = { src.cols, src.rows };
IppDataType dataType = depth == CV_8U ? ipp8u : ipp32f;
CV_SUPPRESS_DEPRECATED_START
IppStatus ok = ippiPyrUpGetBufSize_Gauss5x5(srcRoi.width, dataType, src.channels(), &bufferSize);
CV_SUPPRESS_DEPRECATED_END
if (ok >= 0)
{
Ipp8u* buffer = ippsMalloc_8u(bufferSize);
ok = pyrUpFunc(src.data, (int) src.step, dst.data, (int) dst.step, srcRoi, buffer);
ippsFree(buffer);
if (ok >= 0)
{
CV_IMPL_ADD(CV_IMPL_IPP);
return true;
}
}
}
}
}
#else
CV_UNUSED(_src); CV_UNUSED(_dst); CV_UNUSED(_dsz); CV_UNUSED(borderType);
#endif
return false;
}
}
#endif
void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{
CV_Assert(borderType != BORDER_CONSTANT);
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
ocl_pyrDown(_src, _dst, _dsz, borderType))
Mat src = _src.getMat();
Size dsz = _dsz.area() == 0 ? Size((src.cols + 1)/2, (src.rows + 1)/2) : _dsz;
_dst.create( dsz, src.type() );
Mat dst = _dst.getMat();
int depth = src.depth();
#ifdef HAVE_TEGRA_OPTIMIZATION
if(borderType == BORDER_DEFAULT && tegra::useTegra() && tegra::pyrDown(src, dst))
return;
#endif
#ifdef HAVE_IPP
bool isolated = (borderType & BORDER_ISOLATED) != 0;
int borderTypeNI = borderType & ~BORDER_ISOLATED;
#endif
CV_IPP_RUN(borderTypeNI == BORDER_DEFAULT && (!_src.isSubmatrix() || isolated) && dsz == Size((_src.cols() + 1)/2, (_src.rows() + 1)/2),
ipp_pyrdown( _src, _dst, _dsz, borderType));
PyrFunc func = 0;
if( depth == CV_8U )
func = pyrDown_<FixPtCast<uchar, 8>, PyrDownVec_32s8u>;
else if( depth == CV_16S )
func = pyrDown_<FixPtCast<short, 8>, PyrDownVec_32s16s >;
else if( depth == CV_16U )
func = pyrDown_<FixPtCast<ushort, 8>, PyrDownVec_32s16u >;
else if( depth == CV_32F )
func = pyrDown_<FltCast<float, 8>, PyrDownVec_32f>;
else if( depth == CV_64F )
func = pyrDown_<FltCast<double, 8>, PyrDownNoVec<double, double> >;
else
CV_Error( CV_StsUnsupportedFormat, "" );
func( src, dst, borderType );
}
#if defined(HAVE_IPP)
namespace cv
{
static bool ipp_pyrup( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{
#if IPP_VERSION_X100 >= 801 && 0
Size sz = _src.dims() <= 2 ? _src.size() : Size();
Size dsz = _dsz.area() == 0 ? Size(_src.cols()*2, _src.rows()*2) : _dsz;
Mat src = _src.getMat();
_dst.create( dsz, src.type() );
Mat dst = _dst.getMat();
int depth = src.depth();
{
bool isolated = (borderType & BORDER_ISOLATED) != 0;
int borderTypeNI = borderType & ~BORDER_ISOLATED;
if (borderTypeNI == BORDER_DEFAULT && (!src.isSubmatrix() || isolated) && dsz == Size(src.cols*2, src.rows*2))
{
typedef IppStatus (CV_STDCALL * ippiPyrUp)(const void* pSrc, int srcStep, void* pDst, int dstStep, IppiSize srcRoi, Ipp8u* buffer);
int type = src.type();
CV_SUPPRESS_DEPRECATED_START
ippiPyrUp pyrUpFunc = type == CV_8UC1 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_8u_C1R :
type == CV_8UC3 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_8u_C3R :
type == CV_32FC1 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_32f_C1R :
type == CV_32FC3 ? (ippiPyrUp) ippiPyrUp_Gauss5x5_32f_C3R : 0;
CV_SUPPRESS_DEPRECATED_END
if (pyrUpFunc)
{
int bufferSize;
IppiSize srcRoi = { src.cols, src.rows };
IppDataType dataType = depth == CV_8U ? ipp8u : ipp32f;
CV_SUPPRESS_DEPRECATED_START
IppStatus ok = ippiPyrUpGetBufSize_Gauss5x5(srcRoi.width, dataType, src.channels(), &bufferSize);
CV_SUPPRESS_DEPRECATED_END
if (ok >= 0)
{
Ipp8u* buffer = ippsMalloc_8u(bufferSize);
ok = pyrUpFunc(src.data, (int) src.step, dst.data, (int) dst.step, srcRoi, buffer);
ippsFree(buffer);
if (ok >= 0)
{
CV_IMPL_ADD(CV_IMPL_IPP);
return true;
}
}
}
}
}
#else
CV_UNUSED(_src); CV_UNUSED(_dst); CV_UNUSED(_dsz); CV_UNUSED(borderType);
#endif
return false;
}
}
#endif
void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{
CV_Assert(borderType == BORDER_DEFAULT);
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
ocl_pyrUp(_src, _dst, _dsz, borderType))
Mat src = _src.getMat();
Size dsz = _dsz.area() == 0 ? Size(src.cols*2, src.rows*2) : _dsz;
_dst.create( dsz, src.type() );
Mat dst = _dst.getMat();
int depth = src.depth();
#ifdef HAVE_TEGRA_OPTIMIZATION
if(borderType == BORDER_DEFAULT && tegra::useTegra() && tegra::pyrUp(src, dst))
return;
#endif
#ifdef HAVE_IPP
bool isolated = (borderType & BORDER_ISOLATED) != 0;
int borderTypeNI = borderType & ~BORDER_ISOLATED;
#endif
CV_IPP_RUN(borderTypeNI == BORDER_DEFAULT && (!_src.isSubmatrix() || isolated) && dsz == Size(_src.cols()*2, _src.rows()*2),
ipp_pyrup( _src, _dst, _dsz, borderType));
PyrFunc func = 0;
if( depth == CV_8U )
func = pyrUp_<FixPtCast<uchar, 6>, PyrUpVec_32s8u >;
else if( depth == CV_16S )
func = pyrUp_<FixPtCast<short, 6>, PyrUpVec_32s16s >;
else if( depth == CV_16U )
func = pyrUp_<FixPtCast<ushort, 6>, PyrUpVec_32s16u >;
else if( depth == CV_32F )
func = pyrUp_<FltCast<float, 6>, PyrUpVec_32f >;
else if( depth == CV_64F )
func = pyrUp_<FltCast<double, 6>, PyrUpNoVec<double, double> >;
else
CV_Error( CV_StsUnsupportedFormat, "" );
func( src, dst, borderType );
}
#ifdef HAVE_IPP
namespace cv
{
static bool ipp_buildpyramid( InputArray _src, OutputArrayOfArrays _dst, int maxlevel, int borderType )
{
#if IPP_VERSION_X100 >= 801 && 0
Mat src = _src.getMat();
_dst.create( maxlevel + 1, 1, 0 );
_dst.getMatRef(0) = src;
int i=1;
{
bool isolated = (borderType & BORDER_ISOLATED) != 0;
int borderTypeNI = borderType & ~BORDER_ISOLATED;
if (borderTypeNI == BORDER_DEFAULT && (!src.isSubmatrix() || isolated))
{
typedef IppStatus (CV_STDCALL * ippiPyramidLayerDownInitAlloc)(void** ppState, IppiSize srcRoi, Ipp32f rate, void* pKernel, int kerSize, int mode);
typedef IppStatus (CV_STDCALL * ippiPyramidLayerDown)(void* pSrc, int srcStep, IppiSize srcRoiSize, void* pDst, int dstStep, IppiSize dstRoiSize, void* pState);
typedef IppStatus (CV_STDCALL * ippiPyramidLayerDownFree)(void* pState);
int type = src.type();
int depth = src.depth();
ippiPyramidLayerDownInitAlloc pyrInitAllocFunc = 0;
ippiPyramidLayerDown pyrDownFunc = 0;
ippiPyramidLayerDownFree pyrFreeFunc = 0;
if (type == CV_8UC1)
{
pyrInitAllocFunc = (ippiPyramidLayerDownInitAlloc) ippiPyramidLayerDownInitAlloc_8u_C1R;
pyrDownFunc = (ippiPyramidLayerDown) ippiPyramidLayerDown_8u_C1R;
pyrFreeFunc = (ippiPyramidLayerDownFree) ippiPyramidLayerDownFree_8u_C1R;
}
else if (type == CV_8UC3)
{
pyrInitAllocFunc = (ippiPyramidLayerDownInitAlloc) ippiPyramidLayerDownInitAlloc_8u_C3R;
pyrDownFunc = (ippiPyramidLayerDown) ippiPyramidLayerDown_8u_C3R;
pyrFreeFunc = (ippiPyramidLayerDownFree) ippiPyramidLayerDownFree_8u_C3R;
}
else if (type == CV_32FC1)
{
pyrInitAllocFunc = (ippiPyramidLayerDownInitAlloc) ippiPyramidLayerDownInitAlloc_32f_C1R;
pyrDownFunc = (ippiPyramidLayerDown) ippiPyramidLayerDown_32f_C1R;
pyrFreeFunc = (ippiPyramidLayerDownFree) ippiPyramidLayerDownFree_32f_C1R;
}
else if (type == CV_32FC3)
{
pyrInitAllocFunc = (ippiPyramidLayerDownInitAlloc) ippiPyramidLayerDownInitAlloc_32f_C3R;
pyrDownFunc = (ippiPyramidLayerDown) ippiPyramidLayerDown_32f_C3R;
pyrFreeFunc = (ippiPyramidLayerDownFree) ippiPyramidLayerDownFree_32f_C3R;
}
if (pyrInitAllocFunc && pyrDownFunc && pyrFreeFunc)
{
float rate = 2.f;
IppiSize srcRoi = { src.cols, src.rows };
IppiPyramid *gPyr;
IppStatus ok = ippiPyramidInitAlloc(&gPyr, maxlevel + 1, srcRoi, rate);
Ipp16s iKernel[5] = { 1, 4, 6, 4, 1 };
Ipp32f fKernel[5] = { 1.f, 4.f, 6.f, 4.f, 1.f };
void* kernel = depth >= CV_32F ? (void*) fKernel : (void*) iKernel;
if (ok >= 0) ok = pyrInitAllocFunc((void**) &(gPyr->pState), srcRoi, rate, kernel, 5, IPPI_INTER_LINEAR);
if (ok >= 0)
{
gPyr->pImage[0] = src.data;
gPyr->pStep[0] = (int) src.step;
gPyr->pRoi[0] = srcRoi;
for( ; i <= maxlevel; i++ )
{
IppiSize dstRoi;
ok = ippiGetPyramidDownROI(gPyr->pRoi[i-1], &dstRoi, rate);
Mat& dst = _dst.getMatRef(i);
dst.create(Size(dstRoi.width, dstRoi.height), type);
gPyr->pImage[i] = dst.data;
gPyr->pStep[i] = (int) dst.step;
gPyr->pRoi[i] = dstRoi;
if (ok >= 0) ok = pyrDownFunc(gPyr->pImage[i-1], gPyr->pStep[i-1], gPyr->pRoi[i-1],
gPyr->pImage[i], gPyr->pStep[i], gPyr->pRoi[i], gPyr->pState);
if (ok < 0)
{
pyrFreeFunc(gPyr->pState);
return false;
}
else
{
CV_IMPL_ADD(CV_IMPL_IPP);
}
}
pyrFreeFunc(gPyr->pState);
}
else
{
ippiPyramidFree(gPyr);
return false;
}
ippiPyramidFree(gPyr);
}
return true;
}
return false;
}
#else
CV_UNUSED(_src); CV_UNUSED(_dst); CV_UNUSED(maxlevel); CV_UNUSED(borderType);
#endif
return false;
}
}
#endif
void cv::buildPyramid( InputArray _src, OutputArrayOfArrays _dst, int maxlevel, int borderType )
{
CV_Assert(borderType != BORDER_CONSTANT);
if (_src.dims() <= 2 && _dst.isUMatVector())
{
UMat src = _src.getUMat();
_dst.create( maxlevel + 1, 1, 0 );
_dst.getUMatRef(0) = src;
for( int i = 1; i <= maxlevel; i++ )
pyrDown( _dst.getUMatRef(i-1), _dst.getUMatRef(i), Size(), borderType );
return;
}
Mat src = _src.getMat();
_dst.create( maxlevel + 1, 1, 0 );
_dst.getMatRef(0) = src;
int i=1;
CV_IPP_RUN(((IPP_VERSION_X100 >= 801 && 0) && ((borderType & ~BORDER_ISOLATED) == BORDER_DEFAULT && (!_src.isSubmatrix() || ((borderType & BORDER_ISOLATED) != 0)))),
ipp_buildpyramid( _src, _dst, maxlevel, borderType));
for( ; i <= maxlevel; i++ )
pyrDown( _dst.getMatRef(i-1), _dst.getMatRef(i), Size(), borderType );
}
CV_IMPL void cvPyrDown( const void* srcarr, void* dstarr, int _filter )
{
cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr);
CV_Assert( _filter == CV_GAUSSIAN_5x5 && src.type() == dst.type());
cv::pyrDown( src, dst, dst.size() );
}
CV_IMPL void cvPyrUp( const void* srcarr, void* dstarr, int _filter )
{
cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr);
CV_Assert( _filter == CV_GAUSSIAN_5x5 && src.type() == dst.type());
cv::pyrUp( src, dst, dst.size() );
}
CV_IMPL void
cvReleasePyramid( CvMat*** _pyramid, int extra_layers )
{
if( !_pyramid )
CV_Error( CV_StsNullPtr, "" );
if( *_pyramid )
for( int i = 0; i <= extra_layers; i++ )
cvReleaseMat( &(*_pyramid)[i] );
cvFree( _pyramid );
}
CV_IMPL CvMat**
cvCreatePyramid( const CvArr* srcarr, int extra_layers, double rate,
const CvSize* layer_sizes, CvArr* bufarr,
int calc, int filter )
{
const float eps = 0.1f;
uchar* ptr = 0;
CvMat stub, *src = cvGetMat( srcarr, &stub );
if( extra_layers < 0 )
CV_Error( CV_StsOutOfRange, "The number of extra layers must be non negative" );
int i, layer_step, elem_size = CV_ELEM_SIZE(src->type);
CvSize layer_size, size = cvGetMatSize(src);
if( bufarr )
{
CvMat bstub, *buf;
int bufsize = 0;
buf = cvGetMat( bufarr, &bstub );
bufsize = buf->rows*buf->cols*CV_ELEM_SIZE(buf->type);
layer_size = size;
for( i = 1; i <= extra_layers; i++ )
{
if( !layer_sizes )
{
layer_size.width = cvRound(layer_size.width*rate+eps);
layer_size.height = cvRound(layer_size.height*rate+eps);
}
else
layer_size = layer_sizes[i-1];
layer_step = layer_size.width*elem_size;
bufsize -= layer_step*layer_size.height;
}
if( bufsize < 0 )
CV_Error( CV_StsOutOfRange, "The buffer is too small to fit the pyramid" );
ptr = buf->data.ptr;
}
CvMat** pyramid = (CvMat**)cvAlloc( (extra_layers+1)*sizeof(pyramid[0]) );
memset( pyramid, 0, (extra_layers+1)*sizeof(pyramid[0]) );
pyramid[0] = cvCreateMatHeader( size.height, size.width, src->type );
cvSetData( pyramid[0], src->data.ptr, src->step );
layer_size = size;
for( i = 1; i <= extra_layers; i++ )
{
if( !layer_sizes )
{
layer_size.width = cvRound(layer_size.width*rate + eps);
layer_size.height = cvRound(layer_size.height*rate + eps);
}
else
layer_size = layer_sizes[i];
if( bufarr )
{
pyramid[i] = cvCreateMatHeader( layer_size.height, layer_size.width, src->type );
layer_step = layer_size.width*elem_size;
cvSetData( pyramid[i], ptr, layer_step );
ptr += layer_step*layer_size.height;
}
else
pyramid[i] = cvCreateMat( layer_size.height, layer_size.width, src->type );
if( calc )
cvPyrDown( pyramid[i-1], pyramid[i], filter );
//cvResize( pyramid[i-1], pyramid[i], CV_INTER_LINEAR );
}
return pyramid;
}
/* End of file. */