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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2010-05-12 01:44:00 +08:00
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2018-02-06 20:02:51 +08:00
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#include "precomp.hpp"
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2014-08-01 22:11:20 +08:00
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#include "opencl_kernels_core.hpp"
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2016-11-12 02:47:46 +08:00
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2019-02-08 22:37:59 +08:00
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#include "convert.simd.hpp"
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#include "convert.simd_declarations.hpp" // defines CV_CPU_DISPATCH_MODES_ALL=AVX2,...,BASELINE based on CMakeLists.txt content
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2018-09-07 00:36:59 +08:00
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2019-02-08 22:37:59 +08:00
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namespace cv {
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2018-09-07 00:36:59 +08:00
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2019-02-12 22:27:44 +08:00
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namespace hal {
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void cvt16f32f(const float16_t* src, float* dst, int len)
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{
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CV_INSTRUMENT_REGION();
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CV_CPU_DISPATCH(cvt16f32f, (src, dst, len),
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CV_CPU_DISPATCH_MODES_ALL);
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}
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void cvt32f16f(const float* src, float16_t* dst, int len)
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{
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CV_INSTRUMENT_REGION();
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CV_CPU_DISPATCH(cvt32f16f, (src, dst, len),
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CV_CPU_DISPATCH_MODES_ALL);
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}
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void addRNGBias32f(float* arr, const float* scaleBiasPairs, int len)
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{
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CV_INSTRUMENT_REGION();
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CV_CPU_DISPATCH(addRNGBias32f, (arr, scaleBiasPairs, len),
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CV_CPU_DISPATCH_MODES_ALL);
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}
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void addRNGBias64f(double* arr, const double* scaleBiasPairs, int len)
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{
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CV_INSTRUMENT_REGION();
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CV_CPU_DISPATCH(addRNGBias64f, (arr, scaleBiasPairs, len),
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CV_CPU_DISPATCH_MODES_ALL);
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}
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} // namespace
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2018-09-07 00:36:59 +08:00
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/* [TODO] Recover IPP calls
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2018-02-06 20:02:51 +08:00
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#if defined(HAVE_IPP)
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#define DEF_CVT_FUNC_F(suffix, stype, dtype, ippFavor) \
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static void cvt##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
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dtype* dst, size_t dstep, Size size, double*) \
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{ \
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CV_IPP_RUN(src && dst, CV_INSTRUMENT_FUN_IPP(ippiConvert_##ippFavor, src, (int)sstep, dst, (int)dstep, ippiSize(size.width, size.height)) >= 0) \
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cvt_(src, sstep, dst, dstep, size); \
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2013-11-28 04:57:36 +08:00
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}
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2018-02-06 20:02:51 +08:00
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#define DEF_CVT_FUNC_F2(suffix, stype, dtype, ippFavor) \
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static void cvt##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
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dtype* dst, size_t dstep, Size size, double*) \
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{ \
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CV_IPP_RUN(src && dst, CV_INSTRUMENT_FUN_IPP(ippiConvert_##ippFavor, src, (int)sstep, dst, (int)dstep, ippiSize(size.width, size.height), ippRndFinancial, 0) >= 0) \
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cvt_(src, sstep, dst, dstep, size); \
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}
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#else
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#define DEF_CVT_FUNC_F(suffix, stype, dtype, ippFavor) \
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static void cvt##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
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dtype* dst, size_t dstep, Size size, double*) \
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{ \
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cvt_(src, sstep, dst, dstep, size); \
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}
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#define DEF_CVT_FUNC_F2 DEF_CVT_FUNC_F
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2014-01-25 01:03:31 +08:00
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#endif
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2018-02-06 20:02:51 +08:00
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#define DEF_CVT_FUNC(suffix, stype, dtype) \
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static void cvt##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
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dtype* dst, size_t dstep, Size size, double*) \
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{ \
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cvt_(src, sstep, dst, dstep, size); \
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}
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2016-11-02 02:14:21 +08:00
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2018-02-06 20:02:51 +08:00
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#define DEF_CPY_FUNC(suffix, stype) \
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static void cvt##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
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stype* dst, size_t dstep, Size size, double*) \
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{ \
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cpy_(src, sstep, dst, dstep, size); \
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2016-11-02 02:14:21 +08:00
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}
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2018-02-06 20:02:51 +08:00
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DEF_CPY_FUNC(8u, uchar)
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DEF_CVT_FUNC_F(8s8u, schar, uchar, 8s8u_C1Rs)
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DEF_CVT_FUNC_F(16u8u, ushort, uchar, 16u8u_C1R)
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DEF_CVT_FUNC_F(16s8u, short, uchar, 16s8u_C1R)
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DEF_CVT_FUNC_F(32s8u, int, uchar, 32s8u_C1R)
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DEF_CVT_FUNC_F2(32f8u, float, uchar, 32f8u_C1RSfs)
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DEF_CVT_FUNC(64f8u, double, uchar)
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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DEF_CVT_FUNC_F2(8u8s, uchar, schar, 8u8s_C1RSfs)
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DEF_CVT_FUNC_F2(16u8s, ushort, schar, 16u8s_C1RSfs)
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DEF_CVT_FUNC_F2(16s8s, short, schar, 16s8s_C1RSfs)
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DEF_CVT_FUNC_F(32s8s, int, schar, 32s8s_C1R)
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DEF_CVT_FUNC_F2(32f8s, float, schar, 32f8s_C1RSfs)
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DEF_CVT_FUNC(64f8s, double, schar)
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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DEF_CVT_FUNC_F(8u16u, uchar, ushort, 8u16u_C1R)
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DEF_CVT_FUNC_F(8s16u, schar, ushort, 8s16u_C1Rs)
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DEF_CPY_FUNC(16u, ushort)
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DEF_CVT_FUNC_F(16s16u, short, ushort, 16s16u_C1Rs)
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DEF_CVT_FUNC_F2(32s16u, int, ushort, 32s16u_C1RSfs)
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DEF_CVT_FUNC_F2(32f16u, float, ushort, 32f16u_C1RSfs)
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DEF_CVT_FUNC(64f16u, double, ushort)
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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DEF_CVT_FUNC_F(8u16s, uchar, short, 8u16s_C1R)
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DEF_CVT_FUNC_F(8s16s, schar, short, 8s16s_C1R)
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DEF_CVT_FUNC_F2(16u16s, ushort, short, 16u16s_C1RSfs)
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DEF_CVT_FUNC_F2(32s16s, int, short, 32s16s_C1RSfs)
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DEF_CVT_FUNC(32f16s, float, short)
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DEF_CVT_FUNC(64f16s, double, short)
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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DEF_CVT_FUNC_F(8u32s, uchar, int, 8u32s_C1R)
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DEF_CVT_FUNC_F(8s32s, schar, int, 8s32s_C1R)
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DEF_CVT_FUNC_F(16u32s, ushort, int, 16u32s_C1R)
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DEF_CVT_FUNC_F(16s32s, short, int, 16s32s_C1R)
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DEF_CPY_FUNC(32s, int)
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DEF_CVT_FUNC_F2(32f32s, float, int, 32f32s_C1RSfs)
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DEF_CVT_FUNC(64f32s, double, int)
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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DEF_CVT_FUNC_F(8u32f, uchar, float, 8u32f_C1R)
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DEF_CVT_FUNC_F(8s32f, schar, float, 8s32f_C1R)
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DEF_CVT_FUNC_F(16u32f, ushort, float, 16u32f_C1R)
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DEF_CVT_FUNC_F(16s32f, short, float, 16s32f_C1R)
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DEF_CVT_FUNC_F(32s32f, int, float, 32s32f_C1R)
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DEF_CVT_FUNC(64f32f, double, float)
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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DEF_CVT_FUNC(8u64f, uchar, double)
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DEF_CVT_FUNC(8s64f, schar, double)
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DEF_CVT_FUNC(16u64f, ushort, double)
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DEF_CVT_FUNC(16s64f, short, double)
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DEF_CVT_FUNC(32s64f, int, double)
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DEF_CVT_FUNC(32f64f, float, double)
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DEF_CPY_FUNC(64s, int64)
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2018-09-07 00:36:59 +08:00
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*/
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2014-04-22 23:52:37 +08:00
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2018-02-06 20:02:51 +08:00
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BinaryFunc getConvertFunc(int sdepth, int ddepth)
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{
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2019-02-08 22:37:59 +08:00
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CV_INSTRUMENT_REGION();
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CV_CPU_DISPATCH(getConvertFunc, (sdepth, ddepth),
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CV_CPU_DISPATCH_MODES_ALL);
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}
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2018-09-07 00:36:59 +08:00
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#ifdef HAVE_OPENCL
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static bool ocl_convertFp16( InputArray _src, OutputArray _dst, int sdepth, int ddepth )
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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 type = _src.type(), cn = CV_MAT_CN(type);
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2014-04-22 23:52:37 +08:00
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2018-09-07 00:36:59 +08:00
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_dst.createSameSize( _src, CV_MAKETYPE(ddepth, cn) );
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int kercn = 1;
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int rowsPerWI = 1;
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String build_opt = format("-D HALF_SUPPORT -D srcT=%s -D dstT=%s -D rowsPerWI=%d%s",
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sdepth == CV_32F ? "float" : "half",
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sdepth == CV_32F ? "half" : "float",
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rowsPerWI,
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sdepth == CV_32F ? " -D FLOAT_TO_HALF " : "");
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2020-12-15 09:34:20 +08:00
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ocl::Kernel k(sdepth == CV_32F ? "convertFp16_FP32_to_FP16" : "convertFp16_FP16_to_FP32", ocl::core::halfconvert_oclsrc, build_opt);
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2018-09-07 00:36:59 +08:00
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if (k.empty())
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2018-02-06 20:02:51 +08:00
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return false;
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2014-04-22 23:52:37 +08:00
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2018-09-07 00:36:59 +08:00
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UMat src = _src.getUMat();
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UMat dst = _dst.getUMat();
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2015-06-24 18:50:17 +08:00
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2018-09-07 00:36:59 +08:00
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ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
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dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn);
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2015-06-24 18:50:17 +08:00
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2018-09-07 00:36:59 +08:00
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k.args(srcarg, dstarg);
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2017-04-21 19:52:45 +08:00
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2018-09-07 00:36:59 +08:00
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size_t globalsize[2] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
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return k.run(2, globalsize, NULL, false);
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2015-06-24 18:50:17 +08:00
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}
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2024-01-26 17:56:52 +08:00
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static bool ocl_convertTo(InputArray src_, OutputArray dst_, int ddepth, bool noScale, double alpha, double beta)
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{
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CV_INSTRUMENT_REGION();
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CV_Assert(ddepth >= 0);
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int stype = src_.type();
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int sdepth = CV_MAT_DEPTH(stype);
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int cn = CV_MAT_CN(stype);
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int dtype = CV_MAKETYPE(ddepth, cn);
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int wdepth = (sdepth == CV_64F) ? CV_64F : CV_32F;
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bool needDouble = sdepth == CV_64F || ddepth == CV_64F;
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bool doubleCheck = true;
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if (needDouble)
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{
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doubleCheck = ocl::Device::getDefault().hasFP64();
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}
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bool halfCheck = true;
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bool needHalf = sdepth == CV_16F || ddepth == CV_16F;
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if (needHalf)
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{
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halfCheck = ocl::Device::getDefault().hasFP16();
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}
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if (!doubleCheck)
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return false;
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if (!halfCheck)
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return false;
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const int rowsPerWI = 4;
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char cvt[2][50];
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ocl::Kernel k("convertTo", ocl::core::convert_oclsrc,
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format("-D srcT=%s -D WT=%s -D dstT=%s -D convertToWT=%s -D convertToDT=%s -D rowsPerWI=%d%s%s%s",
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ocl::typeToStr(sdepth), ocl::typeToStr(wdepth), ocl::typeToStr(ddepth),
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ocl::convertTypeStr(sdepth, wdepth, 1, cvt[0], sizeof(cvt[0])),
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ocl::convertTypeStr(wdepth, ddepth, 1, cvt[1], sizeof(cvt[1])),
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rowsPerWI,
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needDouble ? " -D DOUBLE_SUPPORT" : "",
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needHalf ? " -D HALF_SUPPORT" : "",
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noScale ? " -D NO_SCALE" : ""
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)
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);
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if (k.empty())
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return false;
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UMat src = src_.getUMat();
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dst_.createSameSize(src_, dtype);
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UMat dst = dst_.getUMat();
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float alphaf = (float)alpha, betaf = (float)beta;
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if (noScale)
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k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn));
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else if (wdepth == CV_32F)
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k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn), alphaf, betaf);
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else
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k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn), alpha, beta);
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size_t globalsize[2] = {
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(size_t)dst.cols * cn,
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divUp((size_t)dst.rows, rowsPerWI)
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};
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if (!k.run(2, globalsize, NULL, false))
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return false;
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CV_IMPL_ADD(CV_IMPL_OCL);
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return true;
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}
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2017-04-21 19:52:45 +08:00
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#endif
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2014-04-22 23:52:37 +08:00
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2024-01-26 17:56:52 +08:00
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void Mat::convertTo(OutputArray dst, int type_, double alpha, double beta) const
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2014-04-22 23:52:37 +08:00
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{
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2018-09-14 05:35:26 +08:00
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CV_INSTRUMENT_REGION();
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2018-02-06 20:02:51 +08:00
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2024-01-26 17:56:52 +08:00
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if (empty())
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2018-06-01 00:36:39 +08:00
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{
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2024-01-26 17:56:52 +08:00
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dst.release();
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2018-06-01 00:36:39 +08:00
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return;
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}
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2024-01-26 17:56:52 +08:00
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int stype = type();
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int sdepth = CV_MAT_DEPTH(stype);
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2014-04-22 23:52:37 +08:00
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2024-01-26 17:56:52 +08:00
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int ddepth = sdepth;
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if (type_ >= 0)
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ddepth = CV_MAT_DEPTH(type_);
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2018-02-06 20:02:51 +08:00
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else
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2024-01-26 17:56:52 +08:00
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ddepth = dst.fixedType() ? dst.depth() : sdepth;
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2014-04-22 23:52:37 +08:00
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2024-01-26 17:56:52 +08:00
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bool noScale = std::fabs(alpha - 1) < DBL_EPSILON && std::fabs(beta) < DBL_EPSILON;
|
|
|
|
if (sdepth == ddepth && noScale)
|
2014-04-22 23:52:37 +08:00
|
|
|
{
|
2024-01-26 17:56:52 +08:00
|
|
|
copyTo(dst);
|
2018-02-06 20:02:51 +08:00
|
|
|
return;
|
2014-04-22 23:52:37 +08:00
|
|
|
}
|
|
|
|
|
2024-01-26 17:56:52 +08:00
|
|
|
CV_OCL_RUN(dims <= 2 && dst.isUMat(),
|
|
|
|
ocl_convertTo(*this, dst, ddepth, noScale, alpha, beta))
|
|
|
|
|
|
|
|
int cn = channels();
|
|
|
|
int dtype = CV_MAKETYPE(ddepth, cn);
|
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
Mat src = *this;
|
2024-01-26 17:56:52 +08:00
|
|
|
dst.create(dims, size, dtype);
|
|
|
|
Mat dstMat = dst.getMat();
|
2014-04-22 23:52:37 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
BinaryFunc func = noScale ? getConvertFunc(sdepth, ddepth) : getConvertScaleFunc(sdepth, ddepth);
|
|
|
|
double scale[] = {alpha, beta};
|
|
|
|
CV_Assert( func != 0 );
|
2014-04-22 23:52:37 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
if( dims <= 2 )
|
|
|
|
{
|
2024-01-26 17:56:52 +08:00
|
|
|
Size sz = getContinuousSize2D(src, dstMat, cn);
|
|
|
|
func(src.data, src.step, 0, 0, dstMat.data, dstMat.step, sz, scale);
|
2018-02-06 20:02:51 +08:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2024-01-26 17:56:52 +08:00
|
|
|
const Mat* arrays[] = {&src, &dstMat, 0};
|
2018-09-04 21:44:47 +08:00
|
|
|
uchar* ptrs[2] = {};
|
2014-04-22 23:52:37 +08:00
|
|
|
NAryMatIterator it(arrays, ptrs);
|
2018-02-06 20:02:51 +08:00
|
|
|
Size sz((int)(it.size*cn), 1);
|
2014-04-22 23:52:37 +08:00
|
|
|
|
|
|
|
for( size_t i = 0; i < it.nplanes; i++, ++it )
|
2018-02-06 20:02:51 +08:00
|
|
|
func(ptrs[0], 1, 0, 0, ptrs[1], 1, sz, scale);
|
2014-04-22 23:52:37 +08:00
|
|
|
}
|
2014-01-25 01:03:31 +08:00
|
|
|
}
|
2013-11-28 04:57:36 +08:00
|
|
|
|
2024-01-26 17:56:52 +08:00
|
|
|
void UMat::convertTo(OutputArray dst, int type_, double alpha, double beta) const
|
|
|
|
{
|
|
|
|
CV_INSTRUMENT_REGION();
|
|
|
|
|
|
|
|
if (empty())
|
|
|
|
{
|
|
|
|
dst.release();
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
#ifdef HAVE_OPENCL
|
|
|
|
int stype = type();
|
|
|
|
int sdepth = CV_MAT_DEPTH(stype);
|
|
|
|
|
|
|
|
int ddepth = sdepth;
|
|
|
|
if (type_ >= 0)
|
|
|
|
ddepth = CV_MAT_DEPTH(type_);
|
|
|
|
else
|
|
|
|
ddepth = dst.fixedType() ? dst.depth() : sdepth;
|
|
|
|
|
|
|
|
bool noScale = std::fabs(alpha - 1) < DBL_EPSILON && std::fabs(beta) < DBL_EPSILON;
|
|
|
|
if (sdepth == ddepth && noScale)
|
|
|
|
{
|
|
|
|
copyTo(dst);
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_OCL_RUN(dims <= 2,
|
|
|
|
ocl_convertTo(*this, dst, ddepth, noScale, alpha, beta))
|
|
|
|
#endif // HAVE_OPENCL
|
|
|
|
|
|
|
|
UMat src = *this; // Fake reference to itself.
|
|
|
|
// Resolves issue 8693 in case of src == dst.
|
|
|
|
Mat m = getMat(ACCESS_READ);
|
|
|
|
m.convertTo(dst, type_, alpha, beta);
|
|
|
|
(void)src;
|
|
|
|
}
|
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
//==================================================================================================
|
2010-05-12 01:44:00 +08:00
|
|
|
|
2019-02-08 22:37:59 +08:00
|
|
|
void convertFp16(InputArray _src, OutputArray _dst)
|
2018-02-06 20:02:51 +08:00
|
|
|
{
|
2018-09-14 05:35:26 +08:00
|
|
|
CV_INSTRUMENT_REGION();
|
2012-06-09 23:00:04 +08:00
|
|
|
|
2018-09-07 00:36:59 +08:00
|
|
|
int sdepth = _src.depth(), ddepth = 0;
|
|
|
|
BinaryFunc func = 0;
|
2012-06-09 23:00:04 +08:00
|
|
|
|
2018-09-07 00:36:59 +08:00
|
|
|
switch( sdepth )
|
2018-02-06 20:02:51 +08:00
|
|
|
{
|
2018-09-07 00:36:59 +08:00
|
|
|
case CV_32F:
|
|
|
|
if(_dst.fixedType())
|
2018-02-06 20:02:51 +08:00
|
|
|
{
|
2018-09-07 00:36:59 +08:00
|
|
|
ddepth = _dst.depth();
|
2019-02-12 22:27:44 +08:00
|
|
|
CV_Assert(ddepth == CV_16S || ddepth == CV_16F);
|
2018-09-07 00:36:59 +08:00
|
|
|
CV_Assert(_dst.channels() == _src.channels());
|
2018-02-06 20:02:51 +08:00
|
|
|
}
|
2018-09-07 00:36:59 +08:00
|
|
|
else
|
|
|
|
ddepth = CV_16S;
|
2019-06-11 15:06:29 +08:00
|
|
|
func = getConvertFunc(CV_32F, CV_16F);
|
2018-02-06 20:02:51 +08:00
|
|
|
break;
|
|
|
|
case CV_16S:
|
2019-02-12 22:27:44 +08:00
|
|
|
case CV_16F:
|
2018-02-06 20:02:51 +08:00
|
|
|
ddepth = CV_32F;
|
2019-06-11 15:06:29 +08:00
|
|
|
func = getConvertFunc(CV_16F, CV_32F);
|
2018-02-06 20:02:51 +08:00
|
|
|
break;
|
|
|
|
default:
|
|
|
|
CV_Error(Error::StsUnsupportedFormat, "Unsupported input depth");
|
|
|
|
return;
|
2010-05-12 01:44:00 +08:00
|
|
|
}
|
2012-06-09 23:00:04 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
|
2018-09-07 00:36:59 +08:00
|
|
|
ocl_convertFp16(_src, _dst, sdepth, ddepth))
|
2012-06-09 23:00:04 +08:00
|
|
|
|
2015-12-25 20:33:06 +08:00
|
|
|
Mat src = _src.getMat();
|
2010-05-12 01:44:00 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
int type = CV_MAKETYPE(ddepth, src.channels());
|
|
|
|
_dst.create( src.dims, src.size, type );
|
|
|
|
Mat dst = _dst.getMat();
|
|
|
|
int cn = src.channels();
|
2018-09-07 00:36:59 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
CV_Assert( func != 0 );
|
2010-05-12 01:44:00 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
if( src.dims <= 2 )
|
2010-05-12 01:44:00 +08:00
|
|
|
{
|
2018-11-10 18:17:34 +08:00
|
|
|
Size sz = getContinuousSize2D(src, dst, cn);
|
2018-09-07 00:36:59 +08:00
|
|
|
func( src.data, src.step, 0, 0, dst.data, dst.step, sz, 0);
|
2010-05-12 01:44:00 +08:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2018-02-06 20:02:51 +08:00
|
|
|
const Mat* arrays[] = {&src, &dst, 0};
|
2018-09-04 21:44:47 +08:00
|
|
|
uchar* ptrs[2] = {};
|
2018-02-06 20:02:51 +08:00
|
|
|
NAryMatIterator it(arrays, ptrs);
|
|
|
|
Size sz((int)(it.size*cn), 1);
|
2010-05-12 01:44:00 +08:00
|
|
|
|
2018-02-06 20:02:51 +08:00
|
|
|
for( size_t i = 0; i < it.nplanes; i++, ++it )
|
2018-09-07 00:36:59 +08:00
|
|
|
func(ptrs[0], 0, 0, 0, ptrs[1], 0, sz, 0);
|
2018-02-06 20:02:51 +08:00
|
|
|
}
|
2010-05-12 01:44:00 +08:00
|
|
|
}
|
2019-02-08 22:37:59 +08:00
|
|
|
|
|
|
|
} // namespace cv
|