Alexander Alekhin
6 years ago
commit
dfef04b325
16 changed files with 676 additions and 415 deletions
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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 "opencl_kernels_core.hpp" |
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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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namespace cv { |
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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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/* [TODO] Recover IPP calls
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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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} |
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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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#endif |
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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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#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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} |
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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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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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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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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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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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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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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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*/ |
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BinaryFunc getConvertFunc(int sdepth, int ddepth) |
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{ |
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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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#ifdef HAVE_OPENCL |
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static bool ocl_convertFp16( InputArray _src, OutputArray _dst, int sdepth, int ddepth ) |
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{ |
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int type = _src.type(), cn = CV_MAT_CN(type); |
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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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ocl::Kernel k("convertFp16", ocl::core::halfconvert_oclsrc, build_opt); |
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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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UMat dst = _dst.getUMat(); |
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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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k.args(srcarg, dstarg); |
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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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} |
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#endif |
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void Mat::convertTo(OutputArray _dst, int _type, double alpha, double beta) const |
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{ |
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CV_INSTRUMENT_REGION(); |
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if( empty() ) |
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{ |
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_dst.release(); |
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return; |
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} |
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bool noScale = fabs(alpha-1) < DBL_EPSILON && fabs(beta) < DBL_EPSILON; |
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if( _type < 0 ) |
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_type = _dst.fixedType() ? _dst.type() : type(); |
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else |
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_type = CV_MAKETYPE(CV_MAT_DEPTH(_type), channels()); |
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int sdepth = depth(), ddepth = CV_MAT_DEPTH(_type); |
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if( sdepth == ddepth && noScale ) |
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{ |
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copyTo(_dst); |
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return; |
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} |
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Mat src = *this; |
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if( dims <= 2 ) |
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_dst.create( size(), _type ); |
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else |
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_dst.create( dims, size, _type ); |
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Mat dst = _dst.getMat(); |
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BinaryFunc func = noScale ? getConvertFunc(sdepth, ddepth) : getConvertScaleFunc(sdepth, ddepth); |
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double scale[] = {alpha, beta}; |
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int cn = channels(); |
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CV_Assert( func != 0 ); |
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if( dims <= 2 ) |
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{ |
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Size sz = getContinuousSize2D(src, dst, cn); |
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func( src.data, src.step, 0, 0, dst.data, dst.step, sz, scale ); |
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} |
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else |
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{ |
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const Mat* arrays[] = {&src, &dst, 0}; |
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uchar* ptrs[2] = {}; |
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NAryMatIterator it(arrays, ptrs); |
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Size sz((int)(it.size*cn), 1); |
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for( size_t i = 0; i < it.nplanes; i++, ++it ) |
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func(ptrs[0], 1, 0, 0, ptrs[1], 1, sz, scale); |
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} |
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} |
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//==================================================================================================
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void convertFp16(InputArray _src, OutputArray _dst) |
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{ |
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CV_INSTRUMENT_REGION(); |
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int sdepth = _src.depth(), ddepth = 0; |
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BinaryFunc func = 0; |
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switch( sdepth ) |
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{ |
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case CV_32F: |
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if(_dst.fixedType()) |
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{ |
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ddepth = _dst.depth(); |
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CV_Assert(ddepth == CV_16S || ddepth == CV_16F); |
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CV_Assert(_dst.channels() == _src.channels()); |
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} |
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else |
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ddepth = CV_16S; |
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func = (BinaryFunc)getConvertFunc(CV_32F, CV_16F); |
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break; |
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case CV_16S: |
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case CV_16F: |
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ddepth = CV_32F; |
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func = (BinaryFunc)getConvertFunc(CV_16F, CV_32F); |
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break; |
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default: |
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CV_Error(Error::StsUnsupportedFormat, "Unsupported input depth"); |
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return; |
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} |
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CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(), |
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ocl_convertFp16(_src, _dst, sdepth, ddepth)) |
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Mat src = _src.getMat(); |
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int type = CV_MAKETYPE(ddepth, src.channels()); |
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_dst.create( src.dims, src.size, type ); |
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Mat dst = _dst.getMat(); |
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int cn = src.channels(); |
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CV_Assert( func != 0 ); |
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if( src.dims <= 2 ) |
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{ |
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Size sz = getContinuousSize2D(src, dst, cn); |
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func( src.data, src.step, 0, 0, dst.data, dst.step, sz, 0); |
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} |
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else |
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{ |
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const Mat* arrays[] = {&src, &dst, 0}; |
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uchar* ptrs[2] = {}; |
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NAryMatIterator it(arrays, ptrs); |
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Size sz((int)(it.size*cn), 1); |
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for( size_t i = 0; i < it.nplanes; i++, ++it ) |
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func(ptrs[0], 0, 0, 0, ptrs[1], 0, sz, 0); |
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} |
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} |
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} // namespace cv
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@ -0,0 +1,259 @@ |
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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 "opencl_kernels_core.hpp" |
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#include "convert_scale.simd.hpp" |
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#include "convert_scale.simd_declarations.hpp" // defines CV_CPU_DISPATCH_MODES_ALL=AVX2,...,BASELINE based on CMakeLists.txt content |
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namespace cv |
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{ |
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static BinaryFunc getCvtScaleAbsFunc(int depth) |
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{ |
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CV_INSTRUMENT_REGION(); |
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CV_CPU_DISPATCH(getCvtScaleAbsFunc, (depth), |
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CV_CPU_DISPATCH_MODES_ALL); |
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} |
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BinaryFunc getConvertScaleFunc(int sdepth, int ddepth) |
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{ |
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CV_INSTRUMENT_REGION(); |
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CV_CPU_DISPATCH(getConvertScaleFunc, (sdepth, ddepth), |
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CV_CPU_DISPATCH_MODES_ALL); |
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} |
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#ifdef HAVE_OPENCL |
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static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha, double beta ) |
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{ |
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const ocl::Device & d = ocl::Device::getDefault(); |
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int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); |
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bool doubleSupport = d.doubleFPConfig() > 0; |
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if (!doubleSupport && depth == CV_64F) |
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return false; |
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_dst.create(_src.size(), CV_8UC(cn)); |
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int kercn = 1; |
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if (d.isIntel()) |
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{ |
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static const int vectorWidths[] = {4, 4, 4, 4, 4, 4, 4, -1}; |
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kercn = ocl::checkOptimalVectorWidth( vectorWidths, _src, _dst, |
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noArray(), noArray(), noArray(), |
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noArray(), noArray(), noArray(), |
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noArray(), ocl::OCL_VECTOR_MAX); |
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} |
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else |
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kercn = ocl::predictOptimalVectorWidthMax(_src, _dst); |
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int rowsPerWI = d.isIntel() ? 4 : 1; |
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char cvt[2][50]; |
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int wdepth = std::max(depth, CV_32F); |
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String build_opt = format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D DEPTH_dst=%d -D srcT1=%s" |
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" -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s" |
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" -D workT1=%s -D rowsPerWI=%d%s", |
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ocl::typeToStr(CV_8UC(kercn)), CV_8U, |
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ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)), |
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ocl::typeToStr(CV_MAKE_TYPE(wdepth, kercn)), wdepth, |
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ocl::convertTypeStr(depth, wdepth, kercn, cvt[0]), |
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ocl::convertTypeStr(wdepth, CV_8U, kercn, cvt[1]), |
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ocl::typeToStr(wdepth), rowsPerWI, |
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doubleSupport ? " -D DOUBLE_SUPPORT" : ""); |
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ocl::Kernel k("KF", ocl::core::arithm_oclsrc, build_opt); |
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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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UMat dst = _dst.getUMat(); |
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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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if (wdepth == CV_32F) |
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k.args(srcarg, dstarg, (float)alpha, (float)beta); |
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else if (wdepth == CV_64F) |
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k.args(srcarg, dstarg, alpha, beta); |
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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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} |
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#endif |
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void convertScaleAbs(InputArray _src, OutputArray _dst, double alpha, double beta) |
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{ |
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CV_INSTRUMENT_REGION(); |
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CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(), |
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ocl_convertScaleAbs(_src, _dst, alpha, beta)) |
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Mat src = _src.getMat(); |
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int cn = src.channels(); |
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double scale[] = {alpha, beta}; |
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_dst.create( src.dims, src.size, CV_8UC(cn) ); |
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Mat dst = _dst.getMat(); |
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BinaryFunc func = getCvtScaleAbsFunc(src.depth()); |
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CV_Assert( func != 0 ); |
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if( src.dims <= 2 ) |
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{ |
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Size sz = getContinuousSize2D(src, dst, cn); |
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func( src.ptr(), src.step, 0, 0, dst.ptr(), dst.step, sz, scale ); |
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} |
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else |
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{ |
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const Mat* arrays[] = {&src, &dst, 0}; |
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uchar* ptrs[2] = {}; |
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NAryMatIterator it(arrays, ptrs); |
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Size sz((int)it.size*cn, 1); |
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for( size_t i = 0; i < it.nplanes; i++, ++it ) |
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func( ptrs[0], 0, 0, 0, ptrs[1], 0, sz, scale ); |
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} |
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} |
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//==================================================================================================
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#ifdef HAVE_OPENCL |
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static bool ocl_normalize( InputArray _src, InputOutputArray _dst, InputArray _mask, int dtype, |
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double scale, double delta ) |
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{ |
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UMat src = _src.getUMat(); |
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if( _mask.empty() ) |
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src.convertTo( _dst, dtype, scale, delta ); |
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else if (src.channels() <= 4) |
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{ |
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const ocl::Device & dev = ocl::Device::getDefault(); |
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int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), |
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ddepth = CV_MAT_DEPTH(dtype), wdepth = std::max(CV_32F, std::max(sdepth, ddepth)), |
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rowsPerWI = dev.isIntel() ? 4 : 1; |
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float fscale = static_cast<float>(scale), fdelta = static_cast<float>(delta); |
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bool haveScale = std::fabs(scale - 1) > DBL_EPSILON, |
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haveZeroScale = !(std::fabs(scale) > DBL_EPSILON), |
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haveDelta = std::fabs(delta) > DBL_EPSILON, |
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doubleSupport = dev.doubleFPConfig() > 0; |
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if (!haveScale && !haveDelta && stype == dtype) |
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{ |
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_src.copyTo(_dst, _mask); |
||||
return true; |
||||
} |
||||
if (haveZeroScale) |
||||
{ |
||||
_dst.setTo(Scalar(delta), _mask); |
||||
return true; |
||||
} |
||||
|
||||
if ((sdepth == CV_64F || ddepth == CV_64F) && !doubleSupport) |
||||
return false; |
||||
|
||||
char cvt[2][40]; |
||||
String opts = format("-D srcT=%s -D dstT=%s -D convertToWT=%s -D cn=%d -D rowsPerWI=%d" |
||||
" -D convertToDT=%s -D workT=%s%s%s%s -D srcT1=%s -D dstT1=%s", |
||||
ocl::typeToStr(stype), ocl::typeToStr(dtype), |
||||
ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn, |
||||
rowsPerWI, ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), |
||||
ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), |
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : "", |
||||
haveScale ? " -D HAVE_SCALE" : "", |
||||
haveDelta ? " -D HAVE_DELTA" : "", |
||||
ocl::typeToStr(sdepth), ocl::typeToStr(ddepth)); |
||||
|
||||
ocl::Kernel k("normalizek", ocl::core::normalize_oclsrc, opts); |
||||
if (k.empty()) |
||||
return false; |
||||
|
||||
UMat mask = _mask.getUMat(), dst = _dst.getUMat(); |
||||
|
||||
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src), |
||||
maskarg = ocl::KernelArg::ReadOnlyNoSize(mask), |
||||
dstarg = ocl::KernelArg::ReadWrite(dst); |
||||
|
||||
if (haveScale) |
||||
{ |
||||
if (haveDelta) |
||||
k.args(srcarg, maskarg, dstarg, fscale, fdelta); |
||||
else |
||||
k.args(srcarg, maskarg, dstarg, fscale); |
||||
} |
||||
else |
||||
{ |
||||
if (haveDelta) |
||||
k.args(srcarg, maskarg, dstarg, fdelta); |
||||
else |
||||
k.args(srcarg, maskarg, dstarg); |
||||
} |
||||
|
||||
size_t globalsize[2] = { (size_t)src.cols, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI }; |
||||
return k.run(2, globalsize, NULL, false); |
||||
} |
||||
else |
||||
{ |
||||
UMat temp; |
||||
src.convertTo( temp, dtype, scale, delta ); |
||||
temp.copyTo( _dst, _mask ); |
||||
} |
||||
|
||||
return true; |
||||
} |
||||
|
||||
#endif |
||||
|
||||
void normalize(InputArray _src, InputOutputArray _dst, double a, double b, |
||||
int norm_type, int rtype, InputArray _mask) |
||||
{ |
||||
CV_INSTRUMENT_REGION(); |
||||
|
||||
double scale = 1, shift = 0; |
||||
int type = _src.type(), depth = CV_MAT_DEPTH(type); |
||||
|
||||
if( rtype < 0 ) |
||||
rtype = _dst.fixedType() ? _dst.depth() : depth; |
||||
|
||||
if( norm_type == CV_MINMAX ) |
||||
{ |
||||
double smin = 0, smax = 0; |
||||
double dmin = MIN( a, b ), dmax = MAX( a, b ); |
||||
minMaxIdx( _src, &smin, &smax, 0, 0, _mask ); |
||||
scale = (dmax - dmin)*(smax - smin > DBL_EPSILON ? 1./(smax - smin) : 0); |
||||
if( rtype == CV_32F ) |
||||
{ |
||||
scale = (float)scale; |
||||
shift = (float)dmin - (float)(smin*scale); |
||||
} |
||||
else |
||||
shift = dmin - smin*scale; |
||||
} |
||||
else if( norm_type == CV_L2 || norm_type == CV_L1 || norm_type == CV_C ) |
||||
{ |
||||
scale = norm( _src, norm_type, _mask ); |
||||
scale = scale > DBL_EPSILON ? a/scale : 0.; |
||||
shift = 0; |
||||
} |
||||
else |
||||
CV_Error( CV_StsBadArg, "Unknown/unsupported norm type" ); |
||||
|
||||
CV_OCL_RUN(_dst.isUMat(), |
||||
ocl_normalize(_src, _dst, _mask, rtype, scale, shift)) |
||||
|
||||
Mat src = _src.getMat(); |
||||
if( _mask.empty() ) |
||||
src.convertTo( _dst, rtype, scale, shift ); |
||||
else |
||||
{ |
||||
Mat temp; |
||||
src.convertTo( temp, rtype, scale, shift ); |
||||
temp.copyTo( _dst, _mask ); |
||||
} |
||||
} |
||||
|
||||
} // namespace
|
||||
Loading…
Reference in new issue