2018-02-06 20:02:51 +08:00
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html
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#include "precomp.hpp"
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#include "convert.hpp"
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2019-02-08 22:56:25 +08:00
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namespace cv {
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CV_CPU_OPTIMIZATION_NAMESPACE_BEGIN
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BinaryFunc getCvtScaleAbsFunc(int depth);
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BinaryFunc getConvertScaleFunc(int sdepth, int ddepth);
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#ifndef CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
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2018-02-06 20:02:51 +08:00
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/****************************************************************************************\
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* convertScale[Abs] *
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\****************************************************************************************/
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2018-09-07 00:36:59 +08:00
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template<typename _Ts, typename _Td> inline void
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cvtabs_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
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Size size, float a, float b )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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#if CV_SIMD
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v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
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const int VECSZ = v_float32::nlanes*2;
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2018-02-06 20:02:51 +08:00
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#endif
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2018-09-07 00:36:59 +08:00
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sstep /= sizeof(src[0]);
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dstep /= sizeof(dst[0]);
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2018-02-06 20:02:51 +08:00
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2018-09-07 00:36:59 +08:00
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for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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int j = 0;
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#if CV_SIMD
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for( ; j < size.width; j += VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j > size.width - VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j == 0 || src == (_Ts*)dst )
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break;
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j = size.width - VECSZ;
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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v_float32 v0, v1;
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vx_load_pair_as(src + j, v0, v1);
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v0 = v_fma(v0, va, vb);
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v1 = v_fma(v1, va, vb);
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v_store_pair_as(dst + j, v_abs(v0), v_abs(v1));
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2018-02-06 20:02:51 +08:00
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}
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#endif
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2018-09-07 00:36:59 +08:00
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for( ; j < size.width; j++ )
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dst[j] = saturate_cast<_Td>(std::abs(src[j]*a + b));
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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}
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2018-02-06 20:02:51 +08:00
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2019-12-26 19:45:03 +08:00
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// variant for conversions 16f <-> ... w/o unrolling
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2018-09-07 00:36:59 +08:00
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template<typename _Ts, typename _Td> inline void
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cvtabs1_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
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Size size, float a, float b )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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#if CV_SIMD
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v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
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const int VECSZ = v_float32::nlanes*2;
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2018-02-06 20:02:51 +08:00
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#endif
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2018-09-07 00:36:59 +08:00
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sstep /= sizeof(src[0]);
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dstep /= sizeof(dst[0]);
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2018-02-06 20:02:51 +08:00
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2018-09-07 00:36:59 +08:00
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for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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int j = 0;
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#if CV_SIMD
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for( ; j < size.width; j += VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j > size.width - VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j == 0 || src == (_Ts*)dst )
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break;
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j = size.width - VECSZ;
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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v_float32 v0;
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vx_load_as(src + j, v0);
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v0 = v_fma(v0, va, vb);
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v_store_as(dst + j, v_abs(v0));
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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#endif
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for( ; j < size.width; j++ )
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dst[j] = saturate_cast<_Td>(src[j]*a + b);
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2018-02-06 20:02:51 +08:00
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}
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}
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2018-09-07 00:36:59 +08:00
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template<typename _Ts, typename _Td> inline void
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cvt_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
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Size size, float a, float b )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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#if CV_SIMD
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v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
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const int VECSZ = v_float32::nlanes*2;
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2018-02-06 20:02:51 +08:00
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#endif
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2018-09-07 00:36:59 +08:00
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sstep /= sizeof(src[0]);
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dstep /= sizeof(dst[0]);
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2018-02-06 20:02:51 +08:00
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2018-09-07 00:36:59 +08:00
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for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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int j = 0;
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#if CV_SIMD
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for( ; j < size.width; j += VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j > size.width - VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j == 0 || src == (_Ts*)dst )
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break;
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j = size.width - VECSZ;
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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v_float32 v0, v1;
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vx_load_pair_as(src + j, v0, v1);
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v0 = v_fma(v0, va, vb);
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v1 = v_fma(v1, va, vb);
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v_store_pair_as(dst + j, v0, v1);
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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#endif
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for( ; j < size.width; j++ )
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dst[j] = saturate_cast<_Td>(src[j]*a + b);
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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}
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2018-02-06 20:02:51 +08:00
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2019-12-26 19:45:03 +08:00
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// variant for conversions 16f <-> ... w/o unrolling
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2018-09-07 00:36:59 +08:00
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template<typename _Ts, typename _Td> inline void
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cvt1_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
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Size size, float a, float b )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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#if CV_SIMD
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v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
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const int VECSZ = v_float32::nlanes;
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2018-02-06 20:02:51 +08:00
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#endif
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sstep /= sizeof(src[0]);
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dstep /= sizeof(dst[0]);
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2018-09-07 00:36:59 +08:00
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for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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int j = 0;
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#if CV_SIMD
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for( ; j < size.width; j += VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j > size.width - VECSZ )
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{
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if( j == 0 || src == (_Ts*)dst )
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break;
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j = size.width - VECSZ;
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}
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v_float32 v0;
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vx_load_as(src + j, v0);
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v0 = v_fma(v0, va, vb);
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v_store_as(dst + j, v0);
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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#endif
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for( ; j < size.width; j++ )
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dst[j] = saturate_cast<_Td>(src[j]*a + b);
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2018-02-06 20:02:51 +08:00
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}
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}
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2018-09-07 00:36:59 +08:00
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template<typename _Ts, typename _Td> inline void
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cvt_64f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
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Size size, double a, double b )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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#if CV_SIMD_64F
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v_float64 va = vx_setall_f64(a), vb = vx_setall_f64(b);
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const int VECSZ = v_float64::nlanes*2;
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#endif
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2018-02-06 20:02:51 +08:00
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sstep /= sizeof(src[0]);
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dstep /= sizeof(dst[0]);
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2018-09-07 00:36:59 +08:00
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for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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int j = 0;
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#if CV_SIMD_64F
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for( ; j < size.width; j += VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j > size.width - VECSZ )
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2018-02-06 20:02:51 +08:00
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{
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2018-09-07 00:36:59 +08:00
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if( j == 0 || src == (_Ts*)dst )
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break;
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j = size.width - VECSZ;
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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v_float64 v0, v1;
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vx_load_pair_as(src + j, v0, v1);
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v0 = v_fma(v0, va, vb);
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v1 = v_fma(v1, va, vb);
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v_store_pair_as(dst + j, v0, v1);
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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#endif
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for( ; j < size.width; j++ )
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dst[j] = saturate_cast<_Td>(src[j]*a + b);
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2018-02-06 20:02:51 +08:00
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}
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}
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//==================================================================================================
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2018-09-07 00:36:59 +08:00
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#define DEF_CVT_SCALE_ABS_FUNC(suffix, cvt, stype, dtype, wtype) \
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2019-06-11 15:06:29 +08:00
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static void cvtScaleAbs##suffix( const uchar* src_, size_t sstep, const uchar*, size_t, \
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uchar* dst_, size_t dstep, Size size, void* scale_) \
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2018-02-06 20:02:51 +08:00
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{ \
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2019-06-11 15:06:29 +08:00
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const stype* src = (const stype*)src_; \
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dtype* dst = (dtype*)dst_; \
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double* scale = (double*)scale_; \
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2018-09-07 00:36:59 +08:00
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cvt(src, sstep, dst, dstep, size, (wtype)scale[0], (wtype)scale[1]); \
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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#define DEF_CVT_SCALE_FUNC(suffix, cvt, stype, dtype, wtype) \
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2019-06-11 15:06:29 +08:00
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static void cvtScale##suffix( const uchar* src_, size_t sstep, const uchar*, size_t, \
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uchar* dst_, size_t dstep, Size size, void* scale_) \
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2018-02-06 20:02:51 +08:00
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{ \
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2019-06-11 15:06:29 +08:00
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const stype* src = (const stype*)src_; \
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dtype* dst = (dtype*)dst_; \
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double* scale = (double*)scale_; \
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2018-09-07 00:36:59 +08:00
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cvt(src, sstep, dst, dstep, size, (wtype)scale[0], (wtype)scale[1]); \
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2018-02-06 20:02:51 +08:00
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}
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_ABS_FUNC(8u, cvtabs_32f, uchar, uchar, float)
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DEF_CVT_SCALE_ABS_FUNC(8s8u, cvtabs_32f, schar, uchar, float)
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DEF_CVT_SCALE_ABS_FUNC(16u8u, cvtabs_32f, ushort, uchar, float)
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DEF_CVT_SCALE_ABS_FUNC(16s8u, cvtabs_32f, short, uchar, float)
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DEF_CVT_SCALE_ABS_FUNC(32s8u, cvtabs_32f, int, uchar, float)
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DEF_CVT_SCALE_ABS_FUNC(32f8u, cvtabs_32f, float, uchar, float)
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DEF_CVT_SCALE_ABS_FUNC(64f8u, cvtabs_32f, double, uchar, float)
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DEF_CVT_SCALE_FUNC(8u, cvt_32f, uchar, uchar, float)
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DEF_CVT_SCALE_FUNC(8s8u, cvt_32f, schar, uchar, float)
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DEF_CVT_SCALE_FUNC(16u8u, cvt_32f, ushort, uchar, float)
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DEF_CVT_SCALE_FUNC(16s8u, cvt_32f, short, uchar, float)
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DEF_CVT_SCALE_FUNC(32s8u, cvt_32f, int, uchar, float)
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DEF_CVT_SCALE_FUNC(32f8u, cvt_32f, float, uchar, float)
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DEF_CVT_SCALE_FUNC(64f8u, cvt_32f, double, uchar, float)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f8u, cvt_32f, float16_t, uchar, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8u8s, cvt_32f, uchar, schar, float)
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DEF_CVT_SCALE_FUNC(8s, cvt_32f, schar, schar, float)
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DEF_CVT_SCALE_FUNC(16u8s, cvt_32f, ushort, schar, float)
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DEF_CVT_SCALE_FUNC(16s8s, cvt_32f, short, schar, float)
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DEF_CVT_SCALE_FUNC(32s8s, cvt_32f, int, schar, float)
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DEF_CVT_SCALE_FUNC(32f8s, cvt_32f, float, schar, float)
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DEF_CVT_SCALE_FUNC(64f8s, cvt_32f, double, schar, float)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f8s, cvt_32f, float16_t, schar, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8u16u, cvt_32f, uchar, ushort, float)
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DEF_CVT_SCALE_FUNC(8s16u, cvt_32f, schar, ushort, float)
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DEF_CVT_SCALE_FUNC(16u, cvt_32f, ushort, ushort, float)
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DEF_CVT_SCALE_FUNC(16s16u, cvt_32f, short, ushort, float)
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DEF_CVT_SCALE_FUNC(32s16u, cvt_32f, int, ushort, float)
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DEF_CVT_SCALE_FUNC(32f16u, cvt_32f, float, ushort, float)
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DEF_CVT_SCALE_FUNC(64f16u, cvt_32f, double, ushort, float)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f16u, cvt1_32f, float16_t, ushort, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8u16s, cvt_32f, uchar, short, float)
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DEF_CVT_SCALE_FUNC(8s16s, cvt_32f, schar, short, float)
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DEF_CVT_SCALE_FUNC(16u16s, cvt_32f, ushort, short, float)
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DEF_CVT_SCALE_FUNC(16s, cvt_32f, short, short, float)
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DEF_CVT_SCALE_FUNC(32s16s, cvt_32f, int, short, float)
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DEF_CVT_SCALE_FUNC(32f16s, cvt_32f, float, short, float)
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DEF_CVT_SCALE_FUNC(64f16s, cvt_32f, double, short, float)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f16s, cvt1_32f, float16_t, short, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8u32s, cvt_32f, uchar, int, float)
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DEF_CVT_SCALE_FUNC(8s32s, cvt_32f, schar, int, float)
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DEF_CVT_SCALE_FUNC(16u32s, cvt_32f, ushort, int, float)
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DEF_CVT_SCALE_FUNC(16s32s, cvt_32f, short, int, float)
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DEF_CVT_SCALE_FUNC(32s, cvt_64f, int, int, double)
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DEF_CVT_SCALE_FUNC(32f32s, cvt_32f, float, int, float)
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DEF_CVT_SCALE_FUNC(64f32s, cvt_64f, double, int, double)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f32s, cvt1_32f, float16_t, int, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8u32f, cvt_32f, uchar, float, float)
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DEF_CVT_SCALE_FUNC(8s32f, cvt_32f, schar, float, float)
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DEF_CVT_SCALE_FUNC(16u32f, cvt_32f, ushort, float, float)
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DEF_CVT_SCALE_FUNC(16s32f, cvt_32f, short, float, float)
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DEF_CVT_SCALE_FUNC(32s32f, cvt_32f, int, float, float)
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DEF_CVT_SCALE_FUNC(32f, cvt_32f, float, float, float)
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DEF_CVT_SCALE_FUNC(64f32f, cvt_64f, double, float, double)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f32f, cvt1_32f, float16_t, float, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8u64f, cvt_64f, uchar, double, double)
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DEF_CVT_SCALE_FUNC(8s64f, cvt_64f, schar, double, double)
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DEF_CVT_SCALE_FUNC(16u64f, cvt_64f, ushort, double, double)
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DEF_CVT_SCALE_FUNC(16s64f, cvt_64f, short, double, double)
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DEF_CVT_SCALE_FUNC(32s64f, cvt_64f, int, double, double)
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DEF_CVT_SCALE_FUNC(32f64f, cvt_64f, float, double, double)
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DEF_CVT_SCALE_FUNC(64f, cvt_64f, double, double, double)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f64f, cvt_64f, float16_t, double, double)
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2018-09-07 00:36:59 +08:00
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(8u16f, cvt1_32f, uchar, float16_t, float)
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2018-09-07 00:36:59 +08:00
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DEF_CVT_SCALE_FUNC(8s16f, cvt1_32f, schar, float16_t, float)
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DEF_CVT_SCALE_FUNC(16u16f, cvt1_32f, ushort, float16_t, float)
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DEF_CVT_SCALE_FUNC(16s16f, cvt1_32f, short, float16_t, float)
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DEF_CVT_SCALE_FUNC(32s16f, cvt1_32f, int, float16_t, float)
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DEF_CVT_SCALE_FUNC(32f16f, cvt1_32f, float, float16_t, float)
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DEF_CVT_SCALE_FUNC(64f16f, cvt_64f, double, float16_t, double)
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2018-09-10 21:56:29 +08:00
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DEF_CVT_SCALE_FUNC(16f, cvt1_32f, float16_t, float16_t, float)
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2018-02-06 20:02:51 +08:00
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2019-02-08 22:56:25 +08:00
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BinaryFunc getCvtScaleAbsFunc(int depth)
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2018-02-06 20:02:51 +08:00
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{
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static BinaryFunc cvtScaleAbsTab[] =
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{
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(BinaryFunc)cvtScaleAbs8u, (BinaryFunc)cvtScaleAbs8s8u, (BinaryFunc)cvtScaleAbs16u8u,
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(BinaryFunc)cvtScaleAbs16s8u, (BinaryFunc)cvtScaleAbs32s8u, (BinaryFunc)cvtScaleAbs32f8u,
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(BinaryFunc)cvtScaleAbs64f8u, 0
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};
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return cvtScaleAbsTab[depth];
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}
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BinaryFunc getConvertScaleFunc(int sdepth, int ddepth)
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{
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static BinaryFunc cvtScaleTab[][8] =
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{
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{
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(BinaryFunc)GET_OPTIMIZED(cvtScale8u), (BinaryFunc)GET_OPTIMIZED(cvtScale8s8u), (BinaryFunc)GET_OPTIMIZED(cvtScale16u8u),
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(BinaryFunc)GET_OPTIMIZED(cvtScale16s8u), (BinaryFunc)GET_OPTIMIZED(cvtScale32s8u), (BinaryFunc)GET_OPTIMIZED(cvtScale32f8u),
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2018-09-10 21:56:29 +08:00
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(BinaryFunc)cvtScale64f8u, (BinaryFunc)cvtScale16f8u
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2018-02-06 20:02:51 +08:00
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},
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{
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(BinaryFunc)GET_OPTIMIZED(cvtScale8u8s), (BinaryFunc)GET_OPTIMIZED(cvtScale8s), (BinaryFunc)GET_OPTIMIZED(cvtScale16u8s),
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(BinaryFunc)GET_OPTIMIZED(cvtScale16s8s), (BinaryFunc)GET_OPTIMIZED(cvtScale32s8s), (BinaryFunc)GET_OPTIMIZED(cvtScale32f8s),
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2018-09-10 21:56:29 +08:00
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(BinaryFunc)cvtScale64f8s, (BinaryFunc)cvtScale16f8s
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2018-02-06 20:02:51 +08:00
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},
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{
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(BinaryFunc)GET_OPTIMIZED(cvtScale8u16u), (BinaryFunc)GET_OPTIMIZED(cvtScale8s16u), (BinaryFunc)GET_OPTIMIZED(cvtScale16u),
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(BinaryFunc)GET_OPTIMIZED(cvtScale16s16u), (BinaryFunc)GET_OPTIMIZED(cvtScale32s16u), (BinaryFunc)GET_OPTIMIZED(cvtScale32f16u),
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2018-09-10 21:56:29 +08:00
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(BinaryFunc)cvtScale64f16u, (BinaryFunc)cvtScale16f16u
|
2018-02-06 20:02:51 +08:00
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},
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{
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(BinaryFunc)GET_OPTIMIZED(cvtScale8u16s), (BinaryFunc)GET_OPTIMIZED(cvtScale8s16s), (BinaryFunc)GET_OPTIMIZED(cvtScale16u16s),
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(BinaryFunc)GET_OPTIMIZED(cvtScale16s), (BinaryFunc)GET_OPTIMIZED(cvtScale32s16s), (BinaryFunc)GET_OPTIMIZED(cvtScale32f16s),
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2018-09-10 21:56:29 +08:00
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(BinaryFunc)cvtScale64f16s, (BinaryFunc)cvtScale16f16s
|
2018-02-06 20:02:51 +08:00
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},
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{
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(BinaryFunc)GET_OPTIMIZED(cvtScale8u32s), (BinaryFunc)GET_OPTIMIZED(cvtScale8s32s), (BinaryFunc)GET_OPTIMIZED(cvtScale16u32s),
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(BinaryFunc)GET_OPTIMIZED(cvtScale16s32s), (BinaryFunc)GET_OPTIMIZED(cvtScale32s), (BinaryFunc)GET_OPTIMIZED(cvtScale32f32s),
|
2018-09-10 21:56:29 +08:00
|
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(BinaryFunc)cvtScale64f32s, (BinaryFunc)cvtScale16f32s
|
2018-02-06 20:02:51 +08:00
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},
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{
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(BinaryFunc)GET_OPTIMIZED(cvtScale8u32f), (BinaryFunc)GET_OPTIMIZED(cvtScale8s32f), (BinaryFunc)GET_OPTIMIZED(cvtScale16u32f),
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(BinaryFunc)GET_OPTIMIZED(cvtScale16s32f), (BinaryFunc)GET_OPTIMIZED(cvtScale32s32f), (BinaryFunc)GET_OPTIMIZED(cvtScale32f),
|
2018-09-10 21:56:29 +08:00
|
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(BinaryFunc)cvtScale64f32f, (BinaryFunc)cvtScale16f32f
|
2018-02-06 20:02:51 +08:00
|
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|
},
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|
{
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(BinaryFunc)cvtScale8u64f, (BinaryFunc)cvtScale8s64f, (BinaryFunc)cvtScale16u64f,
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|
(BinaryFunc)cvtScale16s64f, (BinaryFunc)cvtScale32s64f, (BinaryFunc)cvtScale32f64f,
|
2018-09-10 21:56:29 +08:00
|
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(BinaryFunc)cvtScale64f, (BinaryFunc)cvtScale16f64f
|
2018-02-06 20:02:51 +08:00
|
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|
},
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|
{
|
2018-09-10 21:56:29 +08:00
|
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|
(BinaryFunc)cvtScale8u16f, (BinaryFunc)cvtScale8s16f, (BinaryFunc)cvtScale16u16f,
|
2018-09-07 00:36:59 +08:00
|
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|
(BinaryFunc)cvtScale16s16f, (BinaryFunc)cvtScale32s16f, (BinaryFunc)cvtScale32f16f,
|
2018-09-10 21:56:29 +08:00
|
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|
(BinaryFunc)cvtScale64f16f, (BinaryFunc)cvtScale16f
|
2018-09-07 00:36:59 +08:00
|
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|
},
|
2018-02-06 20:02:51 +08:00
|
|
|
};
|
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|
|
return cvtScaleTab[CV_MAT_DEPTH(ddepth)][CV_MAT_DEPTH(sdepth)];
|
|
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|
}
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#endif
|
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|
2019-02-08 22:56:25 +08:00
|
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|
CV_CPU_OPTIMIZATION_NAMESPACE_END
|
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|
} // namespace
|